Zihan Jin
" ], "first_author": "Zihan Jin
", "venue": "International Journal of Frontiers in Engineering Technology", "volume": null, "pages": null, "type": "article", "language": null, "abstract": "This research paper involves the design and testing of a crewless aerial vehicle (UAV) specifically designed to rapidly deliver snake antivenin (AV) to remote areas with especially poor infrastructure. Delays in the delivery of AV to treat snakebite envenomation (SBE) due to poor road infrastructure and a lack of local medical centers often result in avoidable permanent disability or death, which creates a problem that must be fixed. The purpose of this study is to determine whether a fixed-wing Vertical Takeoff and Landing (VTOL) tailsitter UAV could maintain the cold-chain integrity of snake AV while achieving a flight range of over 60 kilometers under one hour. To do this, we designed a brand-new airframe with a cool-preserving payload holder and a GPS guided autonomous navigation system. We conducted multiple test flights while ensuring payload temperature, battery consumption, and positional accuracy. The prototype maintained a consistent internal temperature below 8ºC for over one hour in an ambient temperature of 30°C. The drone can also autonomously take off and land vertically, and automatically transition from VTOL to cruising mode with 90% accuracy. However, long-distance testing data is still lacking, and more testing is required to determine whether drones of this specification can meet their flight performance targets. We conclude that drone-based delivery of snake AV is feasible over at least 60 kilometers in all terrain. These findings suggest that investing in temperature-stable UAVs could significantly reduce snakebite mortality rates in Southeast Asia and Sub-Saharan Africa. Future work will focus on long-distance and full-mission testing and on developing a system that allows medical staff or emergency services responders to easily provide a location for the snake AV to the drone operators.", "keywords": [ "Drone", "Payload (computing)", "Airframe", "Global Positioning System", "Takeoff and landing", "Fixed wing", "Envenomation" ], "cited_by_openalex": 0, "cited_by_scopus": 0, "eid": null, "pii": null, "open_access_url": "http://francis-press.com/uploads/papers/zKmxUofy9h3nz02NtgiY3NHtOUqbWmApmyUlw82W.pdf", "sources": [ { "db": "openalex", "stream": "UAV", "query_id": "UAV-3" } ], "streams": [ "UAV" ], "relevance_signals": [ "UAV_NO_CTX" ], "auto_exclude_reason": "EC-4-topic", "screening_status": "auto_excluded", "screened_by": "auto-v1.0.0" }, { "id": "doi:10.48550/arxiv.2609.21093", "doi": "10.48550/arxiv.2609.21093", "title": "A Mean-Field Approach for Safe Routing of Multi-Destination Urban Air Mobility Networks", "year": 2026, "authors": [ "Nameer Fawwaz Ahmed", "Cody Harrison Fleming", "Yasser Shoukry" ], "first_author": "Nameer Fawwaz Ahmed", "venue": "arXiv (Cornell University)", "volume": null, "pages": null, "type": "preprint", "language": null, "abstract": "As Urban Air Mobility (UAM) systems scale toward high-density operations, managing autonomous Unmanned Aerial Vehicle (UAV) traffic requires control frameworks that are both tractable and safety-critical. This paper presents a principled optimal control-theoretic foundation for routing in multi-destination UAM networks subject to vertiport capacity and flow constraints. We first model the network as a destination-conditioned Continuous-Time Markov Chain (CTMC) to capture the stochastic transitions between queueing, service, and flight states. To ensure tractability, we employ a mean-field fluid approximation and derive the underlying system dynamics as a set of coupled ordinary differential equations. A key contribution of this work is the formal proof of the positive invariance of the queue-free state space. We demonstrate that under specific underloaded conditions, a system initialized without queues will remain queue-free indefinitely. This result allows us to transform a complex, infinite-dimensional continuous-time optimal control problem into a tractable, finite-dimensional algebraic optimization. The resulting framework jointly optimizes for travel time and multi-hop efficiency while ensuring network-wide stability. We validate the approach by characterizing the steady-state flow equilibria and providing sufficient conditions for safe, congestion-free operation in large-scale mobility systems.", "keywords": [ "Routing (electronic design automation)", "Markov chain", "Set (abstract data type)", "Markov process", "Class (philosophy)", "Flow network", "Key (lock)", "Queue", "State (computer science)" ], "cited_by_openalex": 0, "cited_by_scopus": 0, "eid": null, "pii": null, "open_access_url": "https://arxiv.org/pdf/2609.21093", "sources": [ { "db": "openalex", "stream": "UAV", "query_id": "UAV-3" } ], "streams": [ "UAV" ], "relevance_signals": [ "UAV_NO_CTX" ], "auto_exclude_reason": "EC-4-topic", "screening_status": "auto_excluded", "screened_by": "auto-v1.0.0" }, { "id": "doi:10.13016/m2jtxu-bgqs", "doi": "10.13016/m2jtxu-bgqs", "title": "Demand Modeling for Advanced Air Mobility: Challenges, Opportunities, and Future Directions", "year": 2026, "authors": [ "Kamal Acharya", "Waleed Raza", "Katherine N. Vasiloff", "Zhenbo Wang", "Liang Sun", "Houbing Song" ], "first_author": "Kamal Acharya", "venue": "Digital Repository at the University of Maryland (University of Maryland College Park)", "volume": null, "pages": null, "type": "article", "language": "en", "abstract": "Advanced Air Mobility (AAM) has attracted increasing research and industry attention as a potential extension of passenger and cargo transportation systems, supported by developments in electric vertical take-off and landing (eVTOL) aircraft, autonomy, and integrated traffic management. Unlike conventional transportation systems, AAM presents unique challenges to demand modeling due to untested routes, new vehicle classes, and evolving user behavior. This paper conducts a comprehensive survey of demand modeling approaches relevant to AAM, encompassing econometric models, discrete choice frameworks, simulation-based approaches, machine learning techniques, and hybrid methods. Our evaluation focuses on four core modeling stages: trip generation, trip distribution, mode choice, and assignment. We further analyze the key factors influencing demand and assess their implications for model design and forecasting accuracy. Research gaps are identified in areas such as airspace routing, vertiport placement, capacity constraints, weather resilience, and community acceptance. To address these, we highlight the need for infrastructure-aware, behaviorally grounded, and real-time adaptive demand models. We outline future research opportunities including fine-grained temporal and spatial resolution, multimodal integration, induced demand representation, and equity considerations. By categorizing current methods and synthesizing emerging directions, this survey establishes a critical research agenda to guide policymakers, practitioners, and researchers in advancing robust and socially responsible AAM demand forecasting.", "keywords": [ "Demand forecasting", "Key (lock)", "Demand management", "Discrete choice", "Equity (law)", "Supply and demand", "Mode (computer interface)", "Air traffic control", "Demand patterns" ], "cited_by_openalex": 0, "cited_by_scopus": 0, "eid": null, "pii": null, "open_access_url": "https://doi.org/10.13016/m2jtxu-bgqs", "sources": [ { "db": "openalex", "stream": "UAV", "query_id": "UAV-3" } ], "streams": [ "UAV" ], "relevance_signals": [ "UAV_NO_CTX" ], "auto_exclude_reason": "EC-4-topic", "screening_status": "auto_excluded", "screened_by": "auto-v1.0.0" }, { "id": "doi:10.48550/arxiv.2609.13565", "doi": "10.48550/arxiv.2609.13565", "title": "Scaling Chance-Constrained Correlated Equilibrium Computation for Exclusive Resource-Assignment Games", "year": 2026, "authors": [ "Jaehan Im", "Ufuk Topcu", "David Fridovich-Keil" ], "first_author": "Jaehan Im", "venue": "arXiv (Cornell University)", "volume": null, "pages": null, "type": "preprint", "language": null, "abstract": "The chance-constrained correlated equilibrium concept provides a robust coordination technique for self-interested agents whose costs are uncertain to a central coordinator, but the number of joint actions considered in its computation grows exponentially with the number of agents. We propose an exact-one resource-assignment restriction for games in which agents compete for shared resources and simultaneous use of a resource is undesirable or unsafe. The restriction allows each resource to be assigned to exactly one agent, reducing the number of joint actions considered from O(2^(nr)) to O(n^r) for n agents and r resources. The resulting problem is solved over the restricted joint action set while retaining all incentive constraints associated with unilateral deviations. We show that the feasible set of the restricted problem is exactly the convex hull of the chance-constrained pure Nash equilibria contained in the exact-one assignment set, yielding a necessary and sufficient condition for nonemptiness. We further derive a sufficient condition under which all chance-constrained pure Nash equilibria of the unrestricted game are retained by the restriction. Numerical experiments in a vertiport departure-corridor coordination scenario demonstrate a 99.81% reduction in median computation time relative to the unrestricted formulation while achieving equivalent coordination performance.", "keywords": [ "Nash equilibrium", "Computation", "Set (abstract data type)", "Scaling", "Coordination game", "Convex hull", "Correlated equilibrium", "Regular polygon", "Reduction (mathematics)" ], "cited_by_openalex": 0, "cited_by_scopus": 0, "eid": null, "pii": null, "open_access_url": "https://arxiv.org/pdf/2609.13565", "sources": [ { "db": "openalex", "stream": "UAV", "query_id": "UAV-3" } ], "streams": [ "UAV" ], "relevance_signals": [ "UAV_NO_CTX" ], "auto_exclude_reason": "EC-4-topic", "screening_status": "auto_excluded", "screened_by": "auto-v1.0.0" }, { "id": "title:a survey of medical drones from flight dynamics guidance navigation and control perspectives", "doi": null, "title": "A Survey of Medical Drones from Flight Dynamics, Guidance, Navigation, and Control Perspectives", "year": 2026, "authors": [ "Roshan Kumar Chhetri", "Sarocha Jetawatthana", "Thanakorn Khamvilai" ], "first_author": "Roshan Kumar Chhetri", "venue": "arXiv (Cornell University)", "volume": null, "pages": null, "type": "preprint", "language": null, "abstract": "The integration of drones into the medical field has revolutionized healthcare delivery by enabling rapid transportation of medical supplies, organs, and even emergency assistance in remote or disaster-stricken areas. While other survey papers focus on the healthcare supply chain, operations, and medical emergency response aspects, this paper provides a comprehensive review of medical drones from the perspectives of flight dynamics and guidance, navigation, and control (GNC) systems. We first discuss the medical aerial delivery mission requirements and suitable uncrewed aerial system (UAS) configurations. We then address payload container design and optimization, and its effect on supplies and overall flight dynamics. We also explore the fundamental principles of GNC in the context of medical drone operations, highlighting key challenges arising from vibration, air temperature, pressure, and humidity, which affect the quality of medical supplies. The paper examines various GNC algorithms that can mitigate these challenges, as well as the algorithms' limitations. With these considerations, this survey aims to provide insights into optimizing GNC frameworks for medical drones, emphasizing research gaps and directions to improve real-world healthcare applications.", "keywords": [ "Drone", "Context (archaeology)", "Payload (computing)", "Health care", "Control (management)", "Quality (philosophy)", "Key (lock)" ], "cited_by_openalex": 0, "cited_by_scopus": 0, "eid": null, "pii": null, "open_access_url": "https://arxiv.org/pdf/2602.06969", "sources": [ { "db": "openalex", "stream": "UAV", "query_id": "UAV-3" } ], "streams": [ "UAV" ], "relevance_signals": [ "UAV_NO_CTX" ], "auto_exclude_reason": "EC-4-topic", "screening_status": "auto_excluded", "screened_by": "auto-v1.0.0" }, { "id": "doi:10.2514/6.2026-2579", "doi": "10.2514/6.2026-2579", "title": "Vision-based Approach and Landing with Distributed Sensing and Hierarchical Mixture of Experts", "year": 2026, "authors": [ "Evan Kawamura", "Sarah Xiong", "Keerthana Kannan", "Thomas Lombaerts", "Vahram Stepanyan", "Chester V. Dolph", "Nelson Brown", "Corey A. Ippolito" ], "first_author": "Evan Kawamura", "venue": "AIAA Science and Technology Forum and Exposition AIAA Scitech Forum 2026", "volume": null, "pages": null, "type": "conference-paper", "language": null, "abstract": "Advanced Air Mobility (AAM) operations face significant navigation challenges during approach and landing, particularly in dense urban environments where GPS may be degraded or unavailable. Prior work has developed an onboard Vision-based Approach and Landing System (VALS) and a ground-based Vision Distributed Sensing (VIDIS) network. VALS provides onboard state estimation by fusing Coplanar Pose from Orthography and Scaling with Iterations (COPOSIT) measurements with inertial data in an Extended Kalman Filter (EKF), while VIDIS leverages distributed ground-based cameras and bundle adjustment to estimate the incoming aircraft state. At longer ranges, when onboard detection of landing-zone features is limited, VIDIS serves as the primary navigation source; as the aircraft approaches the landing zone and onboard feature observability improves, VALS becomes increasingly dominant. This paper introduces a Hierarchical Mixture of Experts (HME) framework that dynamically combines VALS and VIDIS estimates based on their relative performance, enabling resilient navigation under both nominal and off-nominal conditions. Simulation results, including scenarios with injected navigation anomalies, demonstrate that the proposed HME architecture maintains continuous and accurate state estimation by adaptively prioritizing the most reliable navigation source. These results highlight the potential of combined airborne and ground-based navigation to enhance safety, robustness, and operational readiness for future AAM vertiport operations.", "keywords": [ "Observability", "Global Positioning System", "Kalman filter", "Inertial navigation system", "Feature (linguistics)", "State (computer science)", "Extended Kalman filter" ], "cited_by_openalex": 0, "cited_by_scopus": "0", "eid": "2-s2.0-105031186073", "pii": null, "open_access_url": "https://doi.org/10.2514/6.2026-2579", "sources": [ { "db": "openalex", "stream": "UAV", "query_id": "UAV-3" }, { "db": "scopus", "stream": "UAV", "query_id": "UAV-3" } ], "streams": [ "UAV" ], "relevance_signals": [ "UAV_NO_CTX" ], "auto_exclude_reason": "EC-4-topic", "screening_status": "auto_excluded", "screened_by": "auto-v1.0.0" }, { "id": "doi:10.48550/arxiv.2602.06969", "doi": "10.48550/arxiv.2602.06969", "title": "A Survey of Medical Drones from Flight Dynamics, Guidance, Navigation, and Control Perspectives", "year": 2026, "authors": [ "Roshan Kumar Chhetri", "Sarocha Jetawatthana", "Thanakorn Khamvilai" ], "first_author": "Roshan Kumar Chhetri", "venue": "arXiv (Cornell University)", "volume": null, "pages": null, "type": "preprint", "language": null, "abstract": "The integration of drones into the medical field has revolutionized healthcare delivery by enabling rapid transportation of medical supplies, organs, and even emergency assistance in remote or disaster-stricken areas. While other survey papers focus on the healthcare supply chain, operations, and medical emergency response aspects, this paper provides a comprehensive review of medical drones from the perspectives of flight dynamics and guidance, navigation, and control (GNC) systems. We first discuss the medical aerial delivery mission requirements and suitable uncrewed aerial system (UAS) configurations. We then address payload container design and optimization, and its effect on supplies and overall flight dynamics. We also explore the fundamental principles of GNC in the context of medical drone operations, highlighting key challenges arising from vibration, air temperature, pressure, and humidity, which affect the quality of medical supplies. The paper examines various GNC algorithms that can mitigate these challenges, as well as the algorithms' limitations. With these considerations, this survey aims to provide insights into optimizing GNC frameworks for medical drones, emphasizing research gaps and directions to improve real-world healthcare applications.", "keywords": [ "Drone", "Context (archaeology)", "Payload (computing)", "Health care", "Control (management)", "Quality (philosophy)", "Key (lock)" ], "cited_by_openalex": 0, "cited_by_scopus": 0, "eid": null, "pii": null, "open_access_url": "https://doi.org/10.48550/arxiv.2602.06969", "sources": [ { "db": "openalex", "stream": "UAV", "query_id": "UAV-3" } ], "streams": [ "UAV" ], "relevance_signals": [ "UAV_NO_CTX" ], "auto_exclude_reason": "EC-4-topic", "screening_status": "auto_excluded", "screened_by": "auto-v1.0.0" }, { "id": "doi:10.1142/s230138502830003x", "doi": "10.1142/s230138502830003x", "title": "A Survey of Medical Drones from Flight Dynamics, Guidance, Navigation, and Control Perspectives", "year": 2026, "authors": [ "Roshan Kumar Chhetri", "Sarocha Jetawatthana", "Thanakorn Khamvilai" ], "first_author": "Roshan Kumar Chhetri", "venue": "Unmanned Systems", "volume": null, "pages": null, "type": "article", "language": "en", "abstract": "The integration of drones into the medical field has revolutionized healthcare delivery by enabling rapid transportation of medical supplies, organs, and even emergency assistance in remote or disaster-stricken areas. While other survey papers focus on the healthcare supply chain, operations, and medical emergency response aspects, this paper takes a different perspective. It provides a comprehensive review of medical drones from the standpoint of flight dynamics and guidance, navigation, and control (GNC) systems. We first discuss the medical aerial delivery mission requirements and suitable uncrewed aerial system (UAS) configurations. We then address payload container design and optimization, and its effect on supplies and overall flight dynamics. We also explore the fundamental principles of GNC in the context of medical drone operations, highlighting key challenges arising from vibration, air temperature, pressure, and humidity, which affect the quality of medical supplies. The paper examines various GNC algorithms that can mitigate these challenges, as well as the algorithms’ limitations. With these considerations, this survey aims to provide insights into optimizing GNC frameworks for medical drones, emphasizing research gaps and directions to improve real-world healthcare applications.", "keywords": [ "Drone", "Context (archaeology)", "Payload (computing)", "Control (management)", "Health care", "Quality (philosophy)", "Key (lock)" ], "cited_by_openalex": 0, "cited_by_scopus": "0", "eid": "2-s2.0-105038819091", "pii": null, "open_access_url": "https://doi.org/10.1142/s230138502830003x", "sources": [ { "db": "openalex", "stream": "UAV", "query_id": "UAV-3" }, { "db": "scopus", "stream": "UAV", "query_id": "UAV-3" } ], "streams": [ "UAV" ], "relevance_signals": [ "UAV_NO_CTX" ], "auto_exclude_reason": "EC-4-topic", "screening_status": "auto_excluded", "screened_by": "auto-v1.0.0" }, { "id": "doi:10.1016/j.ast.2026.113300", "doi": "10.1016/j.ast.2026.113300", "title": "Physics-informed graph neural networks for forecasting eVTOL-induced traffic state perturbations in real-world road networks", "year": 2026, "authors": [ "Yue Chen" ], "first_author": "Yue Chen", "venue": "Aerospace Science and Technology", "volume": null, "pages": null, "type": "article", "language": "en", "abstract": null, "keywords": [ "Residual", "Graph", "Benchmark (surveying)", "Metric (unit)", "Smoothness", "Topology (electrical circuits)", "Laplace operator", "Laplacian matrix", "Dimension (graph theory)" ], "cited_by_openalex": 0, "cited_by_scopus": 0, "eid": null, "pii": null, "open_access_url": "https://doi.org/10.1016/j.ast.2026.113300", "sources": [ { "db": "openalex", "stream": "UAV", "query_id": "UAV-3" } ], "streams": [ "UAV" ], "relevance_signals": [ "NO_TECHNOLOGY_MATCH" ], "auto_exclude_reason": "EC-4-topic", "screening_status": "auto_excluded", "screened_by": "auto-v1.0.0" }, { "id": "doi:10.48550/arxiv.2606.00504", "doi": "10.48550/arxiv.2606.00504", "title": "Like Uber or Like Buses? Economic Feasibility Analysis of UAM for Airport Access", "year": 2026, "authors": [ "Shangqing Cao", "Rishi Kumar Srinivasan", "Raja Sengupta", "Mark Hansen" ], "first_author": "Shangqing Cao", "venue": "arXiv (Cornell University)", "volume": null, "pages": null, "type": "preprint", "language": null, "abstract": "The airport access use case is a promising early-stage application for Urban Air Mobility (UAM). Understanding the operational paradigm of UAM at airports is crucial for making equitable and effective regulatory and management decisions. A central open question is whether UAM will be integrated into the airport transportation network as a conventional scheduled transit service, such as subways and rail, or as a Transportation Network Company (TNC) characterized by dynamic supply-demand matching. In this paper, we propose a two-stage framework for conducting an economic feasibility analysis of UAM networks. In the first stage, we introduce a joint-supply-demand variable pricing problem to evaluate the impact of dynamic pricing on UAM operations. This model uses a binary logit formulation to capture the trade-off between travel time advantages and fare levels. In the second stage, the determined demand is used as input for the Electric Urban Air Mobility Vehicle Routing Problem with Non-linear Charging Time (eUAMVRP-NL), which optimizes fleet scheduling and charging decisions to derive operating revenue and cost estimates. We apply this framework to a case study of the Los Angeles International Airport (LAX) access market with an eight-spoke vertiport network. Our results indicate that UAM operations benefit significantly from TNC-like management; a variable pricing policy can increase operating profits by more than 100\\% compared to fixed-pricing schemes. Furthermore, we identify economies of stage length in longer UAM flights.", "keywords": [ "Revenue", "Scheduling (production processes)", "Variable (mathematics)", "Revenue management", "Flow network", "Routing (electronic design automation)", "Operating cost", "Dynamic pricing", "Vehicle routing problem" ], "cited_by_openalex": 0, "cited_by_scopus": 0, "eid": null, "pii": null, "open_access_url": "https://doi.org/10.48550/arxiv.2606.00504", "sources": [ { "db": "openalex", "stream": "UAV", "query_id": "UAV-3" } ], "streams": [ "UAV" ], "relevance_signals": [ "UAV_NO_CTX" ], "auto_exclude_reason": "EC-4-topic", "screening_status": "auto_excluded", "screened_by": "auto-v1.0.0" }, { "id": "doi:10.2514/6.2026-4069", "doi": "10.2514/6.2026-4069", "title": "Dynamic Skylanes: Integrating Urban Air Mobility Into Door-to-Door Solutions Using Strategic Airspace Allocation", "year": 2026, "authors": [ "Jung Ho Park", "Jordan Kam", "Vishwanath Bulusu", "Raja Sengupta" ], "first_author": "Jung Ho Park", "venue": null, "volume": null, "pages": null, "type": "conference-paper", "language": null, "abstract": "This article presents dynamic directional lane allocation in urban air mobility (UAM) corridors as a discrete-time mixed-integer linear program (MILP). This formulation activates, deactivates, and reverses lane direction as bi-directional airspace demand evolves. We model demand from disaggregate ground travel data by decomposing each trip into a multi-modal sequence with first-, middle-, and last-mile legs and routing the UAM-served middle-mile segment through a vertiport-side dispatch model. We use the San Francisco Bay Area as a case study by placing a multi-region spanning corridor between Contra Costa county and Silicon Valley. We find that the dynamic policy cuts unused airspace capacity by 5x, increases mean lane utilization from 36-48% to 67% at the same service level relative to baselines, and reduces commuting-population mean travel time by up to 21.6%. These results show that dynamic configuration of airspace capacity alleviates a significant percentage of the under-utilization issue of lane-based UAM airspace design and UAM concept of operations. This dynamic allocation also provides a safe, structural way to increase throughput, making UAM a more viable complement to multimodal door-to-door mobility systems.", "keywords": [ "Air traffic control", "Aviation", "Key (lock)", "Process (computing)", "Context (archaeology)" ], "cited_by_openalex": 0, "cited_by_scopus": 0, "eid": null, "pii": null, "open_access_url": "https://doi.org/10.2514/6.2026-4069", "sources": [ { "db": "openalex", "stream": "UAV", "query_id": "UAV-3" } ], "streams": [ "UAV" ], "relevance_signals": [ "UAV" ], "auto_exclude_reason": null, "screening_status": "pending_human_screening", "screened_by": "auto-v1.0.0" }, { "id": "doi:10.60575/7j3k-km60", "doi": "10.60575/7j3k-km60", "title": "Proceedings of DLR/DGLR 5th Innovative Air Mobility Symposium", "year": 2026, "authors": [ "Praveen Kumar Selvam", "Bianca Isabella Schuchardt" ], "first_author": "Praveen Kumar Selvam", "venue": "elib (German Aerospace Center)", "volume": null, "pages": null, "type": "article", "language": "en", "abstract": "The aim of the annual symposium is to share research results and discuss recent developments and questions on current research activities and industrial developments in the field of innovative air mobility, including advanced, urban, and regional air mobility, passenger and cargo transport. The symposium will provide an excellent opportunity for scientists and engineers from industry, research institutions and universities to exchange knowledge and findings of current studies, and to discuss directions for future research and development. The main topics to be discussed at 2025's IAM Symposium are How to overcome current challenges of IAM concepts? How can air mobility concepts be extended to smart inter-modal systems? Who are the stakeholders in IAM and what are their interests? How to take the next steps towards the safe introduction of air taxis or cargo drones and the necessary infrastructure in urban and regional areas? How does U-space play a role in IAM air traffic management? How to develop, construct and validate emerging new vertiport concepts? How can the gaps in the existing transportation system be identified and can IAM help? How can societal concerns such as safety, security, privacy, noise, and sustainability be addressed? What are recent advances in the simulation capabilities for IAM noise? How can the noise effect be assessed and what is the impact on humans? How can advances in autonomy and artificial intelligence be leveraged to enable IAM operations?", "keywords": [ "Drone", "Taxis", "Field (mathematics)", "Sustainability", "Construct (python library)", "Air traffic control", "Autonomy" ], "cited_by_openalex": 0, "cited_by_scopus": 0, "eid": null, "pii": null, "open_access_url": "https://doi.org/10.60575/7j3k-km60", "sources": [ { "db": "openalex", "stream": "UAV", "query_id": "UAV-3" } ], "streams": [ "UAV" ], "relevance_signals": [ "UAV_NO_CTX" ], "auto_exclude_reason": "EC-4-topic", "screening_status": "auto_excluded", "screened_by": "auto-v1.0.0" }, { "id": "doi:10.36948/ijfmr.2026.v08i02.80939", "doi": "10.36948/ijfmr.2026.v08i02.80939", "title": "Entrepreneurship Development in Kurnool District: Opportunities, Challenges, and Policy Perspectives", "year": 2026, "authors": [ "S. Mansoor Rahman", "Dr H. Akther Banu" ], "first_author": "S. Mansoor Rahman", "venue": "International Journal For Multidisciplinary Research", "volume": null, "pages": null, "type": "article", "language": null, "abstract": "Entrepreneurship is crucial for regional economic growth, especially in areas with many resources but not many industrial opportunities. This paper aims to explore the possibilities, problems and the potential of developing entrepreneurship in the Kurnool district. The district has a plethora of economic activities that include mining, farming, cottage industries and new industrial infrastructure. And with the advent of a drone hub, the opportunities are wide for the budding entrepreneurs. These are the avenues that make things easy for entrepreneurs to grow in different dimensions and in different areas. The paper also focuses on the important opportunities in business, like processing granite and cement; agro-based industries, like extracting oil and mango pulp; and traditional industries, like handloom weaving. Also emerging areas like renewable energy, logistics and 80 enabled services are opening new means for businesses to grow. The mega industrial hub at Orvakal and the industrial park built by the Andhra Pradesh Industrial Infrastructure Corporation add to the district's industrial potential. The government programmes like the Ministry of Micro, Small and Medium Enterprises, Startup India and Standup India are all government programmes that promote entrepreneurship. The study talks about certain structural problems, like how agriculture doesn't generate much value, how industrial infrastructure isn't used enough, how logistics and cold storage facilities aren't good enough, and how many skilled workers are moving to cities. Mechanisation is a threat to traditional sectors, and SMEs have problems with money, getting into markets, and following rules. The report concludes that Kurnool district has a lot of potential to become a centre for entrepreneurship in the region, but only if the right policies are put in place. Some of these policies include strengthening MSMEs, enhancing infrastructure and logistics, promoting agro-processing, and assisting individuals in acquiring new skills. A balanced approach that combines traditional strengths with modern industrial growth can help the region's economy flourish in a way that is fair and long-lasting", "keywords": [ "Entrepreneurship", "Government (linguistics)", "Corporation", "Christian ministry", "Agriculture", "Drone", "Industrial park" ], "cited_by_openalex": 0, "cited_by_scopus": 0, "eid": null, "pii": null, "open_access_url": "https://www.ijfmr.com/papers/2026/2/80939.pdf", "sources": [ { "db": "openalex", "stream": "UAV", "query_id": "UAV-3" } ], "streams": [ "UAV" ], "relevance_signals": [ "UAV_NO_CTX" ], "auto_exclude_reason": "EC-4-topic", "screening_status": "auto_excluded", "screened_by": "auto-v1.0.0" }, { "id": "doi:10.1016/j.tre.2026.105218", "doi": "10.1016/j.tre.2026.105218", "title": "Planning urban air mobility network with travel mode choice under uncertainty", "year": 2026, "authors": [ "Taisheng Du", "Qiong Tian", "Yuankai Zhang", "Xiaojing Chen", "Feng Tian", "Jiangtao Li" ], "first_author": "Taisheng Du", "venue": "Transportation Research Part E Logistics and Transportation Review", "volume": null, "pages": null, "type": "article", "language": "en", "abstract": null, "keywords": [ "Equivalence (formal languages)", "Minification", "Mode (computer interface)", "Network planning and design", "Benders' decomposition", "Key (lock)", "Mode choice", "Decomposition", "Stochastic modelling" ], "cited_by_openalex": 0, "cited_by_scopus": "0", "eid": "2-s2.0-105051171869", "pii": "S1366554526005569", "open_access_url": "https://doi.org/10.1016/j.tre.2026.105218", "sources": [ { "db": "openalex", "stream": "UAV", "query_id": "UAV-3" }, { "db": "scopus", "stream": "UAV", "query_id": "UAV-3" } ], "streams": [ "UAV" ], "relevance_signals": [ "NO_TECHNOLOGY_MATCH" ], "auto_exclude_reason": "EC-4-topic", "screening_status": "auto_excluded", "screened_by": "auto-v1.0.0" }, { "id": "doi:10.3233/atde260620", "doi": "10.3233/atde260620", "title": "Study on Impact Characteristics and Motion Responses of Autonomous Mobile Sonobuoy During Water Entry", "year": 2026, "authors": [ "Muzi Cui", "Junwen Liang", "Ruosi Zha" ], "first_author": "Muzi Cui", "venue": "Advances in transdisciplinary engineering", "volume": null, "pages": "1178-1186", "type": "book-chapter", "language": null, "abstract": "As a novel trans-medium platform, the autonomous mobile sonobuoy broadens the operational envelope of small-to-medium vessels and unmanned surface vehicles (USVs) by eliminating the necessity for aerial delivery. However, the intense slamming loads encountered during high-speed water entry pose a significant risk to structural integrity and sensitive internal electronics. Given that projectile geometry fundamentally dictates impact hydrodynamics, this study investigated the influence of varying nose profiles and wing configurations on slamming loads and transient motion attitudes. Numerical simulations were conducted by employing a viscous flow solver integrated with a dynamic overset mesh technique to handle large-amplitude body motions. The results indicated that a hemi-ellipsoidal nose shape with a fineness ratio of 1:1.5 can significantly reduce the peak slamming load. Furthermore, the deployment of wings can effectively attenuate the impact energy, thereby mitigating localized loads on internal components. Additionally, small-angle water entry and a seaplane-style landing approach can further optimize load distribution. This study provides critical support for the lightweight and impact-resistant design of airborne sonobuoys, enhancing their safety and operational reliability during water entry.", "keywords": [ "Slamming", "Projectile", "Envelope (radar)", "Wing", "Solver", "Reliability (semiconductor)", "Angle of attack", "Motion (physics)", "Flow (mathematics)" ], "cited_by_openalex": 0, "cited_by_scopus": "0", "eid": "2-s2.0-105048457359", "pii": null, "open_access_url": "https://doi.org/10.3233/atde260620", "sources": [ { "db": "openalex", "stream": "UAV", "query_id": "UAV-3" }, { "db": "scopus", "stream": "UAV", "query_id": "UAV-3" } ], "streams": [ "UAV" ], "relevance_signals": [ "UAV_NO_CTX" ], "auto_exclude_reason": "EC-4-topic", "screening_status": "auto_excluded", "screened_by": "auto-v1.0.0" }, { "id": "doi:10.2139/ssrn.6516944", "doi": "10.2139/ssrn.6516944", "title": "State estimation and control of multi--segment slung loads for rotorcraft transport", "year": 2026, "authors": [ "Emanuele L. de Angelis", "Elia Costantini", "Fabrizio Giulietti" ], "first_author": "Emanuele L. de Angelis", "venue": "SSRN Electronic Journal", "volume": null, "pages": null, "type": "preprint", "language": null, "abstract": null, "keywords": [ "Underactuation", "Control theory (sociology)", "Swing", "Payload (computing)", "Controller (irrigation)", "Accelerometer", "Stability (learning theory)", "Kalman filter", "Work (physics)", "Filter (signal processing)" ], "cited_by_openalex": 0, "cited_by_scopus": 0, "eid": null, "pii": null, "open_access_url": "https://doi.org/10.2139/ssrn.6516944", "sources": [ { "db": "openalex", "stream": "UAV", "query_id": "UAV-3" } ], "streams": [ "UAV" ], "relevance_signals": [ "NO_TECHNOLOGY_MATCH" ], "auto_exclude_reason": "EC-4-topic", "screening_status": "auto_excluded", "screened_by": "auto-v1.0.0" }, { "id": "doi:10.2514/6.2026-2745", "doi": "10.2514/6.2026-2745", "title": "Approach Pattern Automation With Quadratic Bézier Curve Trajectory Planning", "year": 2026, "authors": [ "Michael R. Variny", "Jay Paul Wilhelm" ], "first_author": "Michael R. Variny", "venue": null, "volume": null, "pages": null, "type": "conference-paper", "language": null, "abstract": "Current procedures for sequencing and scheduling arriving aircraft are designed to handle 2-3 aircraft at a time and rely heavily on communication between air traffic controllers and pilots. However adherence to a First Come First Served (FCFS) order, along with the use of holding patterns or go-arounds, may lead to inefficient energy usage and unnecessary delays. Scaling the Federal Aviation Administration’s current scheduling methods to a high-density, semi-autonomous airspace, such as Advanced Air Mobility, presents possible challenges in terms of controller workload, aircraft sequencing, and cascading delays. Scheduling challenges become even more pronounced at vertiports, where aircraft can approach and land from any direction. The presented work investigates trajectory planning techniques that ensure multiple aircraft can make coordinated arrival path interceptions while adhering to assigned sequences and Scheduled Times of Arrival (STAs). Time-optimal trajectories composed of Bézier curves and Dubins path segments are developed and optimized for interception. Planned trajectories are autonomously executed by each agent in a landing sequence to meet precise STA requirements. In two experiments where 20 aircraft utilized time-optimal trajectory planning to autonomously enter an approach pattern, no aircraft violated its sequence assignment and the mean absolute deviation between arrival time and STA was under 2 seconds. The average percent error between Estimated Time of Arrival (ETA) of the Bézier trajectory and the STA was under 0.3% in both experiments.", "keywords": [ "Scheduling (production processes)", "Trajectory", "Air traffic control", "Motion planning", "Trajectory optimization", "Path (computing)", "Arrival time", "Sequence (biology)" ], "cited_by_openalex": 0, "cited_by_scopus": 0, "eid": null, "pii": null, "open_access_url": "https://doi.org/10.2514/6.2026-2745", "sources": [ { "db": "openalex", "stream": "UAV", "query_id": "UAV-3" } ], "streams": [ "UAV" ], "relevance_signals": [ "UAV_NO_CTX" ], "auto_exclude_reason": "EC-4-topic", "screening_status": "auto_excluded", "screened_by": "auto-v1.0.0" }, { "id": "doi:10.26467/2079-0619-2026-29-3-8-17", "doi": "10.26467/2079-0619-2026-29-3-8-17", "title": "Decentralization of unmanned air traffic control", "year": 2026, "authors": [ "A. L. Gorbunov" ], "first_author": "A. L. Gorbunov", "venue": "Civil Aviation High TECHNOLOGIES", "volume": null, "pages": null, "type": "article", "language": "ru", "abstract": "The pace of change in unmanned aviation is so rapid that the latest developments in this field become obsolete before they have passed the stage of technical design. This fate is most likely to befall the work currently being carried out in the Russian Federation on the development of unmanned air traffic control systems within the framework of the National Technology Initiative and other government programs, as they are aimed at the logistics of deliveries of relatively large (of kilograms) cargoes. However, the main challenge for unmanned aviation today is that drone delivery of small online purchases is the near future of mass retail, more than 50 percent of which is already online. This means billions of aerial deliveries per year using small drones flying on arbitrary, unpredictable trajectories, unguided by operators, with conflicts involving tens or hundreds of delivery drones. This perspective is out of step with current developments and requires new conceptual solutions. The paper suggests the main theses of the concept of unmanned air traffic control, taking into account the modern realities of the digital society. The algorithmic basis for automatic conflict resolution of small drones is formed – based on linear programming mathematical apparatus for optimal solution of the problem of safe passage of drones in areas of mass conflict.", "keywords": [ "Drone", "Aviation", "Air traffic control", "Pace", "Control (management)", "Government (linguistics)", "Field (mathematics)", "Aviation engineering" ], "cited_by_openalex": 0, "cited_by_scopus": 0, "eid": null, "pii": null, "open_access_url": "https://avia.mstuca.ru/jour/article/download/2777/1489", "sources": [ { "db": "openalex", "stream": "UAV", "query_id": "UAV-3" } ], "streams": [ "UAV" ], "relevance_signals": [ "UAV_NO_CTX" ], "auto_exclude_reason": "EC-4", "screening_status": "auto_excluded", "screened_by": "auto-v1.0.0" }, { "id": "doi:10.1002/dta.70151", "doi": "10.1002/dta.70151", "title": "Impact of Drone Versus Car Transport on Anti‐Doping Sample Integrity Over Short Distances: A Proof‐Of‐Concept Study", "year": 2026, "authors": [ "I. Al‐Mohannadi", "Maneera Al-Jaber", "Maryam Ali Al‐Nesf", "Waseem Samsam", "Abdulaziz Farooq", "N. M. Thomas", "Mark Campbell Stuart", "N. Robinson", "G. Zangenfeind", "D. Rovira", "N. Mohamed‐Ali", "Alka Beotra", "V. Mohamed-Ali", "Mohammed Al‐Maadheed" ], "first_author": "I. Al‐Mohannadi", "venue": "Drug Testing and Analysis", "volume": null, "pages": null, "type": "article", "language": "en", "abstract": "This study investigated whether drone transportation resulted in measurable changes in biological variables relevant to the Athlete Biological Passport, including the urinary steroid profile, haematological factors, selected clinical markers and the untargeted metabolome in dried blood spots (DBS). Urine, blood and DBS from healthy volunteers were analysed after car, drone or no transport, over 5 or 20 km. Haematological factors were assayed by a haematology analyser, steroid profile by GC-/LC-MS and metabolomics by UPLC-MS/MS. Drone was faster than car across both distances, and performance was unaffected by high temperatures (29°C-32°C) or wind speed (12-20 km/h). Haematological, urinary steroid and routine clinical chemistry markers showed no significant differences between car and drone at either distance. Metabolomic analysis showed that most metabolites from DBS samples remained stable relative to no transport: 88% at 5 km and 81%-84% at 20 km for both modes. Using a control-anchored equivalence framework, 92.3% of metabolites were classified as equivalent between car and drone at 5 km, and 88.0% at 20 km, with strong correlation across the full metabolome (r = 0.78 at 5 km, p-value < 0.001; r = 0.82 at 20 km, p-value < 0.001). This is the first report to evaluate drone transport across all major anti-doping sample matrices (urine, whole blood and DBS) using both targeted clinical assays and untargeted metabolomics. Steroid profile, haematological and clinical markers, as well as most DBS-derived metabolites, were equivalent following drone delivery compared with car transport, making this mode of sample transport a possible option during major sporting events.", "keywords": [ "Drone", "Metabolome", "Metabolomics", "Whole blood", "Urinary system", "Poison control" ], "cited_by_openalex": 0, "cited_by_scopus": 0, "eid": null, "pii": null, "open_access_url": "https://onlinelibrary.wiley.com/doi/pdfdirect/10.1002/dta.70151", "sources": [ { "db": "openalex", "stream": "UAV", "query_id": "UAV-3" } ], "streams": [ "UAV" ], "relevance_signals": [ "UAV_NO_CTX" ], "auto_exclude_reason": "EC-4-topic", "screening_status": "auto_excluded", "screened_by": "auto-v1.0.0" }, { "id": "doi:10.25500/edata.bham.00001747", "doi": "10.25500/edata.bham.00001747", "title": "Research data from Phase 4 of ESRC/Innovate UK Future Flight Social Science Research Director", "year": 2026, "authors": [ "Fern Elsdon‐Baker", "Louise Reardon", "Will Mason‐Wilkes", "Adam Michael Packer", "Alexander J. Carter", "Alisi Mekatoa" ], "first_author": "Fern Elsdon‐Baker", "venue": "University of Birmingham Research Portal (University of Birmingham)", "volume": null, "pages": null, "type": "dataset", "language": null, "abstract": "Between 2025 and 2026, Future Flight technologies saw major advancements across multiple fields. Phase Four of the Innovate UK Future Flight programme ran from late September 2025 to March 2026. It aimed to further accelerate the adoption of advanced air mobility technologies including electric vertical take-off and landing vehicles (i.e. eVTOLs) and drones in the UK via Strategic Growth and Regional Demonstrator projects. This dataset was collected November 25-March 26 as part of a broader social science research programme led by Prof. Fern Elsdon-Baker (University of Birmingham). The research was funded by the ESRC in partnership with Innovate UK and the Department for Transport. The University of Birmingham’s Future Flight Social Science programme analysed barriers, opportunities, and social impacts, offering key insights to support scale-up in the UK, alongside a unique historical snapshot of public and stakeholder views upstream of commercialisation of a new and potentially disruptive technology. This includes the following: 1. Regional Case Study 1 (Drones for flooding and environmental monitoring Somerset): 5 focus groups with members of the public living in, and around, Somerset, and semi-structured interviews with stakeholders conducted between January and February 2026. 2. Regional Case Study 2 (eVTOLs Bicester Vertiport): 6 focus groups with members of the public living in, and around, Bicester and Oxfordshire conducted between February and March 2026. 3. Regional Case Studies Study 3 (Medical Drones, Wales): 2 focus groups in February 2026 with publics living in around Talbot Green and Wrexham. 4. National Focus Groups (Trade-Offs between medical, policing and commercial us drones): 6 focus groups with members of the public across the UK conducted in March 2026. 5. Public perceptions of the Darlington Amazon delivery drone trial: regional survey data (designed by UoB, data collected by YouGov in Feb/March 2026) and focus groups report (delivered by YouGov in March 2026). The data files are as follows: 1. Regional Case Study 1 (Drones for flooding and environmental monitoring Somerset).zip – zip folder containing anonymised interview and focus group transcripts and protocols in MS Word format. 2. Regional Case Study 2 (eVTOLs Bicester Vertiport).zip – zip folder containing anonymised focus group transcripts and protocols in MS Word format; pre-post survey responses in MS Excel format; pre- and post-survey questions in MS Word format. 3. Regional Case Studies Study 3 (Medical Drones, Wales).zip – zip folder containing anonymised focus group transcripts and protocols in MS Word format; pre-post survey responses in MS Excel format; pre- and post-survey questions in MS Word format. 4. National Focus Groups (Trade-Offs between medical, policing and commercial use drones).zip – anonymised focus group transcripts and protocols in MS Word format; focus group materials in MS PowerPoint format. 5. Public perceptions of the Darlington Amazon drone delivery trial.zip – regional survey data in MS Excel format, focus group report in PDF format. 6. Reports and appendices – eVTOL report commissioned by the Department for Transport in PDF format.", "keywords": [ "Social research", "Phase (matter)", "Research data", "Data collection", "Key (lock)", "Applied research" ], "cited_by_openalex": 0, "cited_by_scopus": 0, "eid": null, "pii": null, "open_access_url": "https://doi.org/10.25500/edata.bham.00001747", "sources": [ { "db": "openalex", "stream": "UAV", "query_id": "UAV-3" } ], "streams": [ "UAV" ], "relevance_signals": [ "UAV_NO_CTX" ], "auto_exclude_reason": "EC-4-topic", "screening_status": "auto_excluded", "screened_by": "auto-v1.0.0" }, { "id": "doi:10.1016/j.rtbm.2026.101723", "doi": "10.1016/j.rtbm.2026.101723", "title": "Geospatial assessment of time savings for urban air mobility in multi-airport regions: Evidence from the São Paulo–Congonhas Airport shuttle", "year": 2026, "authors": [ "Jussan Knupp Ribeiro", "Giovanna Miceli Ronzani Borille", "Mauro Caetano", "Evandro José da Silva" ], "first_author": "Jussan Knupp Ribeiro", "venue": "Research in Transportation Business & Management", "volume": "67", "pages": null, "type": "article", "language": "en", "abstract": null, "keywords": [ "Geospatial analysis", "Aviation", "Air traffic control", "Real-time data", "Air pollution", "Global Positioning System" ], "cited_by_openalex": 0, "cited_by_scopus": "0", "eid": "2-s2.0-105040651915", "pii": "S221053952600129X", "open_access_url": "https://doi.org/10.1016/j.rtbm.2026.101723", "sources": [ { "db": "openalex", "stream": "UAV", "query_id": "UAV-3" }, { "db": "scopus", "stream": "UAV", "query_id": "UAV-3" } ], "streams": [ "UAV" ], "relevance_signals": [ "NO_TECHNOLOGY_MATCH" ], "auto_exclude_reason": "EC-4-topic", "screening_status": "auto_excluded", "screened_by": "auto-v1.0.0" }, { "id": "doi:10.2514/6.2026-3552", "doi": "10.2514/6.2026-3552", "title": "Experimental Investigation of Propeller Aerodynamics and Aeroacoustics in Ground Effect Over Solid and Perforated Surfaces", "year": 2026, "authors": [ "Mohammad S. Khan", "Amaratsinh Rathod", "SH. S. Vemuri" ], "first_author": "Mohammad S. Khan", "venue": null, "volume": null, "pages": null, "type": "conference-paper", "language": null, "abstract": "This experimental study examines the aerodynamic and aeroacoustic behavior of a two-bladed propeller operating in ground effect over solid and perforated ground surfaces. Measurements are conducted at 5000 and 7000 RPM across a range of height ratios spanning in-ground-effect (IGE) and out-of-ground-effect (OGE) conditions. Three configurations are considered: a solid baseline, an impermeable cavity-backed perforated surface, and a fully permeable perforated surface. From an aerodynamic perspective, the presence of perforations has minimal influence, with thrust and torque coefficients remaining comparable across all cases. Aeroacoustic results show that perforated surfaces primarily redistribute acoustic energy rather than providing an overall reduction in noise. In IGE conditions, the impermeable configuration attenuates higher blade passing frequency (BPF) harmonics while preserving downstream shielding, resulting in reductions of up to ~7 dB in near-field OASPL at outer radial locations. The permeable configuration exhibits mixed behavior in the far-field, showing attenuation in the reflection zone but amplification in the shielded zone due to acoustic transmission through the perforations, whereas in the near-field, it redistributes energy toward mid-frequency broadband content, resulting in a moderate increase in OASPL. Near-field coherence analysis indicates scale-selective suppression of turbulence-induced noise for the impermeable configuration and evidence of flow-induced acoustic reorganization for the permeable case. Overall, the impermeable configuration offers a balanced, low-penalty noise mitigation approach, while the permeable configuration is better suited for targeted attenuation. These findings may hold relevance for vertiport ground surface design and UAV operational strategies.", "keywords": [ "Aerodynamics", "Aeroacoustics", "Ground effect (cars)", "Propeller", "Noise (video)", "Computational aeroacoustics" ], "cited_by_openalex": 0, "cited_by_scopus": 0, "eid": null, "pii": null, "open_access_url": "https://doi.org/10.2514/6.2026-3552", "sources": [ { "db": "openalex", "stream": "UAV", "query_id": "UAV-3" } ], "streams": [ "UAV" ], "relevance_signals": [ "UAV_NO_CTX" ], "auto_exclude_reason": "EC-4-topic", "screening_status": "auto_excluded", "screened_by": "auto-v1.0.0" }, { "id": "title:digitization of wind tunnel experiments an ai based approach to wind field reconstruction and visual", "doi": null, "title": "Digitization of Wind Tunnel Experiments: An AI-Based Approach to Wind Field Reconstruction and Visualization", "year": 2026, "authors": [ "Dingyang Geng" ], "first_author": "Dingyang Geng", "venue": "Spectrum Research Repository (Concordia University)", "volume": null, "pages": null, "type": "dissertation", "language": "en", "abstract": "As various unmanned aerial vehicles (UAVs) begin executing diverse missions over urban areas, they are transforming city logistics from two-dimensional ground transportation to three-dimensional aerial delivery. However, the gradient flow field variations around buildings and unpredictable air currents within dense urban canyons pose significant challenges for safe UAV flight. Therefore, a method capable of reconstructing the fluid-structure interaction (FSI) relationship within urban wind fields and analyzing their three-dimensional structure is a key foundation for advancing urban logistics from flat to three-dimensional operations. This study aims to achieve the informatization of flow field data in atmospheric boundary layer wind tunnels using deep learning-based reconstruction methods. Smoke visualization techniques were deployed to track airflow around buildings, while computer vision-based algorithms reconstructed wind fields from sparse multi-angle video recordings to investigate fluid-structure interactions between structures and flow fields. Furthermore, measurements from porous pressure probes validated the deep learning model’s predictions of velocity profiles and turbulence intensity under low wind speed conditions. Experimental results demonstrate that this approach successfully reconstructs high-resolution, time-series flow fields within complex, obstructed three-dimensional simulated urban environments using machine learning techniques.", "keywords": [ "Visualization", "Wind tunnel", "Airflow", "Terrain", "Flow (mathematics)", "Field (mathematics)", "Turbulence", "Wind engineering", "Wind direction" ], "cited_by_openalex": 0, "cited_by_scopus": 0, "eid": null, "pii": null, "open_access_url": "https://spectrum.library.concordia.ca/id/eprint/996755/1/Geng_MASc_S2026.pdf", "sources": [ { "db": "openalex", "stream": "UAV", "query_id": "UAV-3" } ], "streams": [ "UAV" ], "relevance_signals": [ "UAV" ], "auto_exclude_reason": null, "screening_status": "pending_human_screening", "screened_by": "auto-v1.0.0" }, { "id": "title:poster session", "doi": null, "title": "Poster Session", "year": 2026, "authors": [ "BCAAS" ], "first_author": "BCAAS", "venue": "Scholarly Commons (Embry–Riddle Aeronautical University)", "volume": null, "pages": null, "type": "conference-paper", "language": null, "abstract": "Research Posters: Automating Carry-on Baggage Control: Operational and Financial Analysis of a BrazilianCase Tulio Souza, Giuliano Avila, Anderson Vicente, Ricardo Barbosa, Isabela Zatti, Robin Roberts, and Maria Petrescu Bridging the Gap: An Exploration of Pilot-Automation Interaction from Initial Training to Airline Operations in Gen Z Pilots Mary Bender, Parneet Makkar, Allysa Hayden, Vanesa Miksa, and Elizabeth Blickensderfer Data-Driven Wind Thresholds for Flight Training: An ADS-B and Surface Weather Analysis Taeyun Yoo and João Souza Dias Garcia Development of an Aircraft-Mounted Fused Sensor System for Real-Time Detection and Classification of Weather Phenomena Sanjana Singh and Stephen Medeiros Integrating Artificial Intelligence into Scheduling Practices at Part 141 Flight Schools to Reduce Flight Instructor Fatigue Favour Obarewon Is Artificial Intelligence Smarter than a Fifth Grader? A Review of Current AI Validation Methods and Their Suggested Use in Aviation Eva Lobaton, Desirae Walton, Zoe Spanos, Grace Gonzalez, Elizabeth R. Merwin, Andrew Schneider, Joseph R. Keebler, and Elizabeth H. Lazzara Flying High and Feeling Faint: An Exploration into Handling In-Flight Medical Emergencies Ujaia J. Cunningham, Grace M. Gonzalez, and Elizabeth H. Lazzara Performance, Acoustics, and Safety Risks of UAM Rotors in Vertiport Atmospheric Conditions Stanley Ossyra and Vadim Voropayev State Capacity and Global Aviation Safety: A Study of Small Island Developing States and ICAO Compliance Rean Clinton Understanding the Lifestyle Challenges and Well-Being of Professional Pilots Tiago Dikerts De Tella and Flavio A. C. Mendonca", "keywords": [ "Aviation", "Flight training", "Feeling", "Session (web analytics)", "Civil aviation", "Pilotage" ], "cited_by_openalex": 0, "cited_by_scopus": 0, "eid": null, "pii": null, "open_access_url": "https://commons.erau.edu/bcaas-annual-srs/2026/agenda/7", "sources": [ { "db": "openalex", "stream": "UAV", "query_id": "UAV-3" } ], "streams": [ "UAV" ], "relevance_signals": [ "UAV_NO_CTX" ], "auto_exclude_reason": "EC-4-topic", "screening_status": "auto_excluded", "screened_by": "auto-v1.0.0" }, { "id": "doi:10.48550/arxiv.2606.10552", "doi": "10.48550/arxiv.2606.10552", "title": "Short-Range IAM Operations to Overcome Access Gaps Around Bologna Airport", "year": 2026, "authors": [ "Jean-Claude Lebègue", "Xuhao Gui", "Daniel Delahaye" ], "first_author": "Jean-Claude Lebègue", "venue": "arXiv (Cornell University)", "volume": null, "pages": null, "type": "preprint", "language": "en", "abstract": "We study Innovative Air Mobility (IAM) as a dedicated hub feeder and dispersal service for Bologna Guglielmo Marconi Airport (BLQ), addressing short-range airport-to-airport connectivity where scheduled fixed-wing services are inefficient and surface access is time-consuming. Demand is generated directly from BLQ's flight timetable via a staggered rolling-window model: arriving passengers become IAM-eligible after a 20-minute buffer (a baseline 70% ''staying'' share is considered and distributed across nearby airports using a gravity model), while feeder demand for departures is timestamped backward by IAM travel time plus a 2-hour pre-flight buffer. We build an IAM-only time-expanded network (airports as vertiports) and solve two sequential subproblems: passenger routing with A* to reveal edge-level demand pressure, followed by fleet dispatch with dynamic programming to schedule a finite IAM fleet. Using OAG schedules for 5 May 2024, we simulate 09:00-17:00 with a 50-vehicle fleet (10 seats, 30 m/s) and 5-minute windows. Results show large travel-time advantages versus rail for many links (e.g., BLQ-Il Ciocco: 46 min IAM vs. 237-294 min by train), while a few pairs remain competitive for rail (e.g., BLQ-Florence). Sensitivity to IAM speed and staying share quantifies how technology and adoption shape feasible coverage, timing feasibility, and hub accessibility, demonstrating the potential of IAM to strengthen BLQ's regional reach without altering airline schedules.", "keywords": [ "Schedule", "Flow network", "Routing (electronic design automation)", "Service (business)", "Baseline (sea)", "Rail network", "Demand forecasting", "Scheduling (production processes)" ], "cited_by_openalex": 0, "cited_by_scopus": 0, "eid": null, "pii": null, "open_access_url": "https://arxiv.org/pdf/2606.10552", "sources": [ { "db": "openalex", "stream": "UAV", "query_id": "UAV-3" } ], "streams": [ "UAV" ], "relevance_signals": [ "UAV_NO_CTX" ], "auto_exclude_reason": "EC-4-topic", "screening_status": "auto_excluded", "screened_by": "auto-v1.0.0" }, { "id": "doi:10.33904/ejfe.1802823", "doi": "10.33904/ejfe.1802823", "title": "Designing a drone-based system for optimized seed ball deployment in reforestation applications", "year": 2026, "authors": [ "A. John Rajan", "Sravan K K", "Hisana C", "Muhammed Nazil", "Mohammed Shan", "Navaneeth Saran Alby", "P. Sajeesh" ], "first_author": "A. John Rajan", "venue": "European Journal of Forest Engineering", "volume": "12", "pages": "70-78", "type": "article", "language": "en", "abstract": "Drone-based system for seed ball deployment in aerial reforestation offer an innovative and efficient approach for restoring degraded ecosystems sustainably. This study primarily focuses on the design and development of a drone equipped with an automated seed ball dispensing mechanism for aerial reforestation applications. The developed drone system has a thrust-to-weight ratio of 1.8, ensuring stable flight performance during the aerial reforestation operations. The system enables controlled seed ball release using a servo-actuated mechanism and GPS-assisted positioning. The second objective of this study is to optimize seed ball parameters and dropping height to enhance aerial delivery and germination performance in reforestation. Taguchi analysis indicated that seed ball composition and dropping height have a greater influence on germination than seed ball weight. A composition, consisting of compost and mud, with a seed ball weight of 40 g, and a dropping height of 2 m, was found to be the optimal. The statistical influence of the parameters on the germination rate was further analysed using ANOVA. Finally, a predictive regression model was developed to estimate germination time based on seed ball composition, weight, and release height, and its accuracy was validated through confirmatory experiments. Thus, this work presents a practical, data-deriven approach for aerial reforestation that integrates optimized seed ball design with drone-based seed ball deployment to enhance ecological restoration outcomes.", "keywords": [ "Reforestation", "Germination", "Ball (mathematics)", "Software deployment", "Scarification" ], "cited_by_openalex": 0, "cited_by_scopus": "0", "eid": "2-s2.0-105045283282", "pii": null, "open_access_url": "https://dergipark.org.tr/en/download/article-file/5326535", "sources": [ { "db": "openalex", "stream": "UAV", "query_id": "UAV-3" }, { "db": "scopus", "stream": "UAV", "query_id": "UAV-3" } ], "streams": [ "UAV" ], "relevance_signals": [ "UAV_NO_CTX" ], "auto_exclude_reason": "EC-4-topic", "screening_status": "auto_excluded", "screened_by": "auto-v1.0.0" }, { "id": "doi:10.64588/jc.04.08.2026", "doi": "10.64588/jc.04.08.2026", "title": "Tối ưu hóa kinh tế không gian tầm thấp tại đô thị Hà Nội: Khung chính sách quản lý bay tầm thấp (UTM) dưới góc nhìn thực thi Luật Thủ đô", "year": 2026, "authors": [ "TS Đinh Quang Toàn", "TS Nguyễn Thị Thu Hường" ], "first_author": "TS Đinh Quang Toàn", "venue": "Journal of Construction", "volume": null, "pages": null, "type": "article", "language": null, "abstract": "Sự phát triển của phương tiện bay không người lái (UAV) đang hình thành ngành kinh tế không gian tầm thấp (LAE). Đối với Hà Nội, việc khai thác không gian dưới 1.000 m giúp giải quyết áp lực hạ tầng mặt đất. Trên cơ sở vận dụng các cơ chế đặc thù từ Luật Thủ đô 2026 (Luật số 02/2026/QH16), bài báo phân tích thực trạng, cơ hội và các rào cản về an toàn tĩnh không, an ninh quốc phòng. Nghiên cứu đề xuất khung chính sách quản lý bay tầm thấp (UTM) tự động, số hóa, cụ thể hóa mô hình thử nghiệm có kiểm soát (Sandbox), phân tầng không phận 3D và tích hợp trạm cất hạ cánh (Vertiport cho eVTOL và Droneport cho UAV) vào quy hoạch đô thị. Lộ trình thực hiện hai giai đoạn (2026 - 2030 và 2030 - 2045) cung cấp luận cứ khoa học nhằm phát triển kinh tế số, logistics thông minh cho Thủ đô, dự kiến giảm 30% thời gian vận chuyển nội đô và tạo 5.000 việc làm công nghệ cao vào năm 2030.", "keywords": [ "Bay", "Vietnamese", "Ho chi minh", "Sinkhole" ], "cited_by_openalex": 0, "cited_by_scopus": 0, "eid": null, "pii": null, "open_access_url": "https://doi.org/10.64588/jc.04.08.2026", "sources": [ { "db": "openalex", "stream": "UAV", "query_id": "UAV-3" } ], "streams": [ "UAV" ], "relevance_signals": [ "UAV_NO_CTX" ], "auto_exclude_reason": "EC-4-topic", "screening_status": "auto_excluded", "screened_by": "auto-v1.0.0" }, { "id": "doi:10.1016/j.jairtraman.2026.103127", "doi": "10.1016/j.jairtraman.2026.103127", "title": "Assessing drone freight demand in intercity mountainous corridors: A discrete choice modeling approach with capacity-constrained simulations", "year": 2026, "authors": [ "Jie Shi", "Lichao Zhu" ], "first_author": "Jie Shi", "venue": "Journal of Air Transport Management", "volume": "139", "pages": null, "type": "article", "language": "en", "abstract": "The low-altitude economy, as an innovative economic model utilizing low-altitude airspace resources, is reshaping traditional transportation systems through applications like drone logistics, demonstrating pronounced advantages in complex terrains. While existing research predominantly focuses on macro-level airspace deployment, meso-level demand analysis, and micro-level route optimization of drones in passenger transportation, the meso-level demand analysis lacks consideration of drone capacity constraints and the impact of drone allocation across different modes and regions on service levels and traffic volume in freight transportation. This study adapts established discrete choice models to a novel and complex context by explicitly integrating strict capacity constraints into the demand simulation—an aspect largely overlooked in existing applications. Based on stated preference data from four typical mountainous intercity freight corridors in Fujian Province, China, market shares of pure-drone, pure-road, and drone-road intermodal modes are simulated under varying service attributes. Key findings reveal: (1) Shippers across different corridors exhibit significant variations in their preference for drone modes, which correlate with cargo attributes and drone capacity; (2) Competitiveness enhancement requires prioritizing capacity reallocation to corridors with higher cargo unit value and total cargo value (such as the Fuqing-Fuzhou corridor) and reducing waiting time. In particular, the value of cargo transported by drones (including pure-drone and drone-road intermodal modes) increases from 7.87 million Chinese Yuan in the current scenario to 44.57 million Chinese Yuan in the multi-factor optimization scenario (capacity reallocation + waiting time reduction + freight subsidies). This study theoretically offers a quantitative method to understand the relationship between drone service levels and modal share under capacity constraints, and practically provides decision-making support for developing strategies to enhance the competitiveness of drone transportation in various freight corridor scenarios.", "keywords": [ "Drone", "Discrete choice", "Aviation", "Simulation modeling", "Demand forecasting" ], "cited_by_openalex": 0, "cited_by_scopus": "0", "eid": "2-s2.0-105051063319", "pii": "S0969699726001638", "open_access_url": "https://doi.org/10.1016/j.jairtraman.2026.103127", "sources": [ { "db": "openalex", "stream": "UAV", "query_id": "UAV-3" }, { "db": "scopus", "stream": "UAV", "query_id": "UAV-3" } ], "streams": [ "UAV" ], "relevance_signals": [ "UAV_NO_CTX" ], "auto_exclude_reason": "EC-4-topic", "screening_status": "auto_excluded", "screened_by": "auto-v1.0.0" }, { "id": "doi:10.1002/9781394359325.ch06", "doi": "10.1002/9781394359325.ch06", "title": "Operational Considerations", "year": 2026, "authors": [ "Kevin A. Adkins PhD" ], "first_author": "Kevin A. Adkins PhD", "venue": null, "volume": null, "pages": null, "type": "other", "language": "en", "abstract": "Advanced Air Mobility (AAM) encompasses a diverse set of mission types that impose distinct operational demands on aircraft, airspace organization, automation architecture, and ground infrastructure. This chapter examines AAM through an operational lens, establishing how mission characteristics and operational context shape system behavior across urban, regional, and time-critical service domains. Instead of treating operations as a uniform concept, the chapter develops a structured view in which different mission classes reveal distinct operational logics driven by spatial constraints, energy availability, timing requirements, and system coordination. Key elements include intracity passenger mobility, regional cargo transport, and medical-response missions as representative operational archetypes. These archetypes illustrate how trajectory control, energy management, routing flexibility, and ground operations vary across urban corridors, regional networks, and time-sensitive deployment contexts. The analysis also examines the coupling between airspace structure, vertiport throughput, charging availability, and supervisory automation, demonstrating how these elements collectively determine achievable mission tempo and system reliability. Additional considerations include security and cybersecurity requirements, which define the protection of physical and digital system interfaces, and community and public acceptance, which establish operational boundaries through constraints on noise, visibility, and institutional trust. Collectively, these operational factors define the conditions governing whether AAM missions can be executed reliably and scaled across diverse environments. The chapter establishes that AAM functions as a coordinated operational system whose performance depends on the integration of interdependent components, as opposed to any single element in isolation.", "keywords": [ "Software deployment", "Key (lock)", "Interdependence", "Context (archaeology)", "Service (business)", "Operational planning", "Automation", "Set (abstract data type)" ], "cited_by_openalex": 0, "cited_by_scopus": 0, "eid": null, "pii": null, "open_access_url": "https://doi.org/10.1002/9781394359325.ch06", "sources": [ { "db": "openalex", "stream": "UAV", "query_id": "UAV-3" } ], "streams": [ "UAV" ], "relevance_signals": [ "UAV_NO_CTX" ], "auto_exclude_reason": "EC-4-topic", "screening_status": "auto_excluded", "screened_by": "auto-v1.0.0" }, { "id": "doi:10.1016/j.tbs.2026.101348", "doi": "10.1016/j.tbs.2026.101348", "title": "Modeling activity-travel behavior change to assess the impact of eVTOL deployment on group-specific benefits and urban transport equity", "year": 2026, "authors": [ "Peng Luo", "Xiao Fu", "William H. K. Lam" ], "first_author": "Peng Luo", "venue": "Travel Behaviour and Society", "volume": null, "pages": null, "type": "article", "language": "en", "abstract": null, "keywords": [ "Equity (law)", "Software deployment", "Travel behavior", "Mode choice", "Population", "Mobile phone", "Revenue", "Poison control", "Geographic information system", "Public transport" ], "cited_by_openalex": 0, "cited_by_scopus": 0, "eid": null, "pii": null, "open_access_url": "https://doi.org/10.1016/j.tbs.2026.101348", "sources": [ { "db": "openalex", "stream": "UAV", "query_id": "UAV-3" } ], "streams": [ "UAV" ], "relevance_signals": [ "NO_TECHNOLOGY_MATCH" ], "auto_exclude_reason": "EC-4-topic", "screening_status": "auto_excluded", "screened_by": "auto-v1.0.0" }, { "id": "doi:10.5281/zenodo.21318875", "doi": "10.5281/zenodo.21318875", "title": "A Systematic Review of Urban Air Mobility: Technologies, Challenges, and Future Directions", "year": 2026, "authors": [ "Walid Al-Shaar" ], "first_author": "Walid Al-Shaar", "venue": "Zenodo (CERN European Organization for Nuclear Research)", "volume": null, "pages": null, "type": "preprint", "language": "en", "abstract": "Urban Air Mobility (UAM) represents a transformative vision for metropolitan transportation, leveraging electric Vertical Take-Off and Landing (eVTOL) aircraft to offer rapid, on-demand mobility while addressing urban congestion and emissions. Despite a rapidly expanding body of research, a comprehensive synthesis that maps evidence across technological, operational, regulatory, and societal dimensions remains absent. This systematic review therefore aims to critically synthesize the existing evidence, evaluate the reported effectiveness of proposed solutions, and identify critical research gaps that hinder translation into policy and practice. We conducted the review following the PRISMA guidelines, employing a comprehensive search across multiple databases and a structured keyword strategy derived from the SPICE framework. Studies were included if they presented original research, systematic reviews, or well-documented case studies addressing at least one core UAM aspect, with full text in English. Two reviewers independently screened titles and abstracts, then assessed full texts, resolving disagreements through consensus. The synthesis reveals a fragmented landscape dominated by simulation-based optimization models for vertiport location, fleet sizing, and route planning, alongside stated-preference studies on public acceptance that highlight safety and noise concerns. A recurring theme is the interdependence of technological, operational, and societal factors, suggesting that successful UAM implementation requires a holistic, system-of-systems approach. We conclude that primary barriers are not solely technological but deeply intertwined with regulatory and societal challenges, and we identify a notable gap in empirical data on real-world operational performance and long-term sustainability. Future research must move toward integrated, multi-stakeholder frameworks to guide responsible scaling from niche applications to mainstream urban transportation.", "keywords": [ "Systematic review", "Metropolitan area", "Mainstream", "Urban planning", "Scope (computer science)", "Empirical research", "Transformative learning", "Urban studies", "Scale (ratio)" ], "cited_by_openalex": 0, "cited_by_scopus": 0, "eid": null, "pii": null, "open_access_url": "https://doi.org/10.5281/zenodo.21318875", "sources": [ { "db": "openalex", "stream": "UAV", "query_id": "UAV-3" } ], "streams": [ "UAV" ], "relevance_signals": [ "UAV" ], "auto_exclude_reason": null, "screening_status": "pending_human_screening", "screened_by": "auto-v1.0.0" }, { "id": "doi:10.1177/1475472x261419081", "doi": "10.1177/1475472x261419081", "title": "High-fidelity simulations of noise induced by time-harmonic gust interaction with eVTOL rotor", "year": 2026, "authors": [ "Vadim Voropayev", "Michael Marques", "Alireza Maleki", "Anastasios S. Lyrintzis", "Reda R. Mankbadi", "Sheryl M. Grace", "Vladimir V. Golubev" ], "first_author": "Vadim Voropayev", "venue": "International Journal of Aeroacoustics", "volume": "25", "pages": "381-406", "type": "article", "language": "en", "abstract": "This study investigates the aeroacoustic effects of harmonic gust disturbances on a five-blade electric Vertical Take-off and Landing Aircraft (eVTOL) rotor in edgewise flight. Delayed Detached Eddy Simulations (DDES) using OpenFOAM, coupled with a synthetic gust generator, are first validated against experimental results for uniform inflow conditions. The results show good agreement for broadband spectra and performance metrics, with slight underprediction of tonal levels near the blade-passing frequency (BPF). In the next step, the gust of 10% fluctuations relative to the freestream velocity is added to the flow with a frequency of 119 Hz (0.357 BPF). Increasing gust intensity to 30% of the freestream velocity has a negligible effect on mean thrust but raises root mean square (RMS) thrust fluctuations by 14%, compared to 3.9% for the gust with intensity of 10% case. Spectral analysis reveals BPF harmonic increase of 16% and 29% for the intensity of 10% and 30% gusts, respectively, while the gust-frequency response is attenuated. Acoustic results show spatially dependent changes, seen in directivity maps: small gust amplitude enhances BPF levels at most microphones, whereas larger amplitude redistributes noise, broadening high SPL regions but reducing peaks in some directions. Overall Sound Pressure Level (OASPL) shifts range from about −2 to +2 dB, depending on position, indicating that higher gust magnitudes primarily alter noise directivity rather than uniformly amplifying it. These findings highlight the importance of considering high-intensity gusts in vertiport noise assessment and support design strategies for eVTOL operations in gust-prone urban environments.", "keywords": [ "Freestream", "Amplitude", "Directivity", "Noise (video)", "Thrust", "Inflow", "Intensity (physics)", "Rotor (electric)", "Sound pressure" ], "cited_by_openalex": 0, "cited_by_scopus": "0", "eid": "2-s2.0-105029423311", "pii": null, "open_access_url": "https://doi.org/10.1177/1475472x261419081", "sources": [ { "db": "openalex", "stream": "UAV", "query_id": "UAV-3" }, { "db": "scopus", "stream": "UAV", "query_id": "UAV-3" } ], "streams": [ "UAV" ], "relevance_signals": [ "UAV_NO_CTX" ], "auto_exclude_reason": "EC-4-topic", "screening_status": "auto_excluded", "screened_by": "auto-v1.0.0" }, { "id": "doi:10.1016/j.trip.2026.102191", "doi": "10.1016/j.trip.2026.102191", "title": "Macroscopic fundamental diagram-based stability analysis of emerging low-altitude transport networks with multi-dimensional corridor configurations", "year": 2026, "authors": [ "Haiyan Jiang", "Yijia Li", "Wei Qi", "Olga Bulatova", "Vladimir Zyryanov" ], "first_author": "Haiyan Jiang", "venue": "Transportation Research Interdisciplinary Perspectives", "volume": null, "pages": null, "type": "article", "language": "en", "abstract": "Large-scale low-altitude air transport (LAAT) has the potential to extend urban mobility beyond ground networks, yet dense operations in constrained airspace may trigger congestion and unstable network states. This study develops a macroscopic fundamental diagram (MFD)-based framework to evaluate the efficiency, controllability, and stability retention of two-region low-altitude transport networks under different corridor configurations and operation modes. An airport-centered network comprising vertiports, intra-regional corridors, and inter-regional corridors is constructed, and a channelized distributed collision-avoidance model is introduced to capture safety-constrained aircraft movements. Linear, planar, and three-dimensional cruise corridor configurations are examined under cargo-only, passenger-only, and mixed cargo-passenger operations. The estimated MFD parameters are embedded into a two-region management model to quantify feasible inter-regional flow-control intervals, stable region (SR) areas, and their evolution with regional accumulation. Results show that upgrading the corridor structure from linear to planar and three-dimensional configurations increases network capacity and generally enlarges the controllable state space and weakens SR contraction. Quantitatively, for the mixed mode, the replication-based mean end-point relative change of SR area improves from - 4.1039 % under the linear corridor configuration to - 1.0768 % under the planar configuration and - 0.9204 % under the three-dimensional configuration. For the cargo-only mode, the corresponding values improve from - 2.3025 % to - 0.8071 % and - 0.3381 % , respectively. Robust factorial analysis confirms significant effects of corridor configuration, operation mode, and their interaction ( p < 0.001 ). The TCC configuration provides an additional statistically significant improvement over PCC for cargo-only and mixed operations, whereas the PCC–TCC difference is not statistically significant for passenger-only operation.", "keywords": [ "Channelized", "Stability (learning theory)", "Topology (electrical circuits)", "Planar", "Diagram", "Boundary (topology)", "Separation (statistics)", "Control theory (sociology)", "Network topology" ], "cited_by_openalex": 0, "cited_by_scopus": 0, "eid": null, "pii": null, "open_access_url": "https://www.sciencedirect.com/science/article/pii/S2590198226003568/pdf", "sources": [ { "db": "openalex", "stream": "UAV", "query_id": "UAV-3" } ], "streams": [ "UAV" ], "relevance_signals": [ "UAV_NO_CTX" ], "auto_exclude_reason": "EC-4-topic", "screening_status": "auto_excluded", "screened_by": "auto-v1.0.0" }, { "id": "doi:10.48550/arxiv.2606.10371", "doi": "10.48550/arxiv.2606.10371", "title": "Test-time Adversarial Takeover: A Real-time Hijacking Interface against Robotic Diffusion Policies", "year": 2026, "authors": [ "Zi Yin", "Peilin Chai", "Siyuan Huang", "Zhanhao Hu" ], "first_author": "Zi Yin", "venue": "arXiv (Cornell University)", "volume": null, "pages": null, "type": "preprint", "language": null, "abstract": "Diffusion-based action generation has become a foundational component of embodied AI, but its reliance on visual conditioning leaves deployed visuomotor policies vulnerable to adversarial manipulation. Most prior attacks focus on disruption: they perturb the observation stream to reduce task success or induce erratic behavior. We study a stronger threat, Test-time Adversarial Takeover (TAKO), in which an attacker obtains a real-time steering interface over a frozen robot policy and turns it into a remotely piloted instrument. TAKO learns a small vocabulary of reusable universal patches through differentiable diffusion inference; at test time, the attacker switches among these patches in the camera stream to compose attacker-chosen trajectories. This works because the perturbation acts on the visual conditioning pathway, where the induced bias can persist through iterative generative inference. We further show that the natural targeted baseline, target-policy matching, fails because the victim policy cannot reliably supervise itself on out-of-distribution target shifts. Across four tasks (2D manipulation, simulated aerial delivery, simulated ground navigation, and physical-world ground navigation), two visual encoders (ResNet-18 and EfficientNet-B0 + Transformer), and three generative inference families (DDPM, DDIM, and flow matching), human operators achieve 100\\% takeover success on attacker-defined objectives in every evaluated setting. The project page is available at https://tako-attack.github.io.", "keywords": [ "Adversarial system", "Robot", "Interface (matter)", "Component (thermodynamics)", "Task (project management)", "Vocabulary", "Differentiable function", "Encoder", "Focus (optics)" ], "cited_by_openalex": 0, "cited_by_scopus": 0, "eid": null, "pii": null, "open_access_url": "https://arxiv.org/pdf/2606.10371", "sources": [ { "db": "openalex", "stream": "UAV", "query_id": "UAV-3" } ], "streams": [ "UAV" ], "relevance_signals": [ "UAV_NO_CTX" ], "auto_exclude_reason": "EC-4-topic", "screening_status": "auto_excluded", "screened_by": "auto-v1.0.0" }, { "id": "doi:10.1080/12265934.2026.2657603", "doi": "10.1080/12265934.2026.2657603", "title": "User-oriented planning for UAM in Seoul: a spatial approach using latent class analysis and location quotient analysis based on travel purpose", "year": 2026, "authors": [ "Jin-Hak Lee", "Do‐Gyeong Kim" ], "first_author": "Jin-Hak Lee", "venue": "International Journal of Urban Sciences", "volume": null, "pages": null, "type": "article", "language": "en", "abstract": "Seoul is actively considering the introduction of UAM; however, the plans thus far have been developed using a top-down, supplier-centred approach. Since UAM services are still in their early stages, with limited experience, and individual environments and preferences vary, it is essential to develop plans from the users’ perspective. In this study, latent class analysis (LCA) was performed based on the benefits and sacrifices variables from the value-based adoption model (VAM). Then, using location quotient (LQ) analysis, areas in Seoul with high acceptance tendencies and the characteristics of the groups most concentrated in those areas were identified. The analysis revealed that, for Airport Access Trips, individuals in their 20s and long-distance car users exhibited positive responses to UAM, whereas for Commuting Trips, highly educated, high-income individuals in their 30s and long-distance users showed positive attitudes towards UAM services. These groups are characterized by a high understanding and adaptability to new technologies, a preference for convenience and comfort during travel and relatively low sensitivity to fare burdens for repetitive trips. The southeastern and southwestern regions of Seoul were identified as areas with high user specialization, which coincided with the locations of vertiports in the pilot route plans. However, additional consideration for the northeastern region, which lacks public transportation infrastructure, is suggested for mid- to long-term planning.HighlightsUser-centred planning is needed for urban air mobility in Seoul.Young adults and long-distance drivers showed stronger preferences for airport access trips.High-income commuters in their 30s showed strong potential for adoption.Perceived benefits and risks helped identify distinct urban air mobility user groups.The identified high-acceptance areas largely matched the pilot sites, while highlighting the need for further review of areas with limited public transportation.", "keywords": [ "Class (philosophy)", "Latent class model", "Statistical analysis", "Quotient" ], "cited_by_openalex": 0, "cited_by_scopus": 0, "eid": null, "pii": null, "open_access_url": "https://doi.org/10.1080/12265934.2026.2657603", "sources": [ { "db": "openalex", "stream": "UAV", "query_id": "UAV-3" } ], "streams": [ "UAV" ], "relevance_signals": [ "UAV_NO_CTX" ], "auto_exclude_reason": "EC-4-topic", "screening_status": "auto_excluded", "screened_by": "auto-v1.0.0" }, { "id": "doi:10.5281/zenodo.21318876", "doi": "10.5281/zenodo.21318876", "title": "A Systematic Review of Urban Air Mobility: Technologies, Challenges, and Future Directions", "year": 2026, "authors": [ "Walid Al-Shaar" ], "first_author": "Walid Al-Shaar", "venue": "Zenodo (CERN European Organization for Nuclear Research)", "volume": null, "pages": null, "type": "preprint", "language": "en", "abstract": "Urban Air Mobility (UAM) represents a transformative vision for metropolitan transportation, leveraging electric Vertical Take-Off and Landing (eVTOL) aircraft to offer rapid, on-demand mobility while addressing urban congestion and emissions. Despite a rapidly expanding body of research, a comprehensive synthesis that maps evidence across technological, operational, regulatory, and societal dimensions remains absent. This systematic review therefore aims to critically synthesize the existing evidence, evaluate the reported effectiveness of proposed solutions, and identify critical research gaps that hinder translation into policy and practice. We conducted the review following the PRISMA guidelines, employing a comprehensive search across multiple databases and a structured keyword strategy derived from the SPICE framework. Studies were included if they presented original research, systematic reviews, or well-documented case studies addressing at least one core UAM aspect, with full text in English. Two reviewers independently screened titles and abstracts, then assessed full texts, resolving disagreements through consensus. The synthesis reveals a fragmented landscape dominated by simulation-based optimization models for vertiport location, fleet sizing, and route planning, alongside stated-preference studies on public acceptance that highlight safety and noise concerns. A recurring theme is the interdependence of technological, operational, and societal factors, suggesting that successful UAM implementation requires a holistic, system-of-systems approach. We conclude that primary barriers are not solely technological but deeply intertwined with regulatory and societal challenges, and we identify a notable gap in empirical data on real-world operational performance and long-term sustainability. Future research must move toward integrated, multi-stakeholder frameworks to guide responsible scaling from niche applications to mainstream urban transportation.", "keywords": [ "Systematic review", "Metropolitan area", "Mainstream", "Urban planning", "Scope (computer science)", "Empirical research", "Transformative learning", "Urban studies", "Scale (ratio)" ], "cited_by_openalex": 0, "cited_by_scopus": 0, "eid": null, "pii": null, "open_access_url": "https://doi.org/10.5281/zenodo.21318876", "sources": [ { "db": "openalex", "stream": "UAV", "query_id": "UAV-3" } ], "streams": [ "UAV" ], "relevance_signals": [ "UAV" ], "auto_exclude_reason": null, "screening_status": "pending_human_screening", "screened_by": "auto-v1.0.0" }, { "id": "doi:10.1108/ijlma-03-2026-0150", "doi": "10.1108/ijlma-03-2026-0150", "title": "New innovation-new liability challenges: a comparative civil liability framework for eVTOL malfunction", "year": 2026, "authors": [ "Sumaiya Firoz Nomani", "Mohammad Rababa", "Hussain Al-Ahmad", "Husameldin Mukhtar", "Nasiruddeen Muhammad", "Saad Ali Amin", "Burkhard Schafer", "Karem Sayed Aboelazm" ], "first_author": "Sumaiya Firoz Nomani", "venue": "International Journal of Law and Management", "volume": null, "pages": "1-23", "type": "article", "language": "en", "abstract": "Purpose This study aims to examine whether existing civil liability regimes are capable of responding adequately to accidents involving electric vertical take-off and landing aircraft (eVTOLs) and considers how liability allocation may be structured to support the safe and commercially viable deployment of urban air mobility services. Design/methodology/approach This study adopts a qualitative doctrinal and comparative approach. It analyses relevant principles of tort law, product liability and aviation liability across the USA, the European Union and the United Arab Emirates, with particular focus on harm arising from software malfunction, autonomous or semi-autonomous operations, infrastructure failure and multi-party service delivery models. Findings This study finds that existing liability frameworks are only partially equipped to address eVTOL-related harm. Conventional fault-based rules and existing aviation liability instruments were developed for more traditional forms of carriage and do not adequately reflect distributed operational control, algorithmic decision-making or the fragmented contractual structure of eVTOL markets. This study argues for a tiered liability framework based on functional control, under which manufacturers and software developers would bear strict liability for design and software defects, operators would remain responsible for operational and maintenance failures and infrastructure providers would face presumptive responsibility where vertiport or support system failures materially contribute to damage. Originality/value This study contributes to emerging eVTOL scholarship by framing civil liability as an element of market governance and risk allocation rather than merely a remedial mechanism. To the best of the authors’ knowledge, it is the first of its kind to do so. It further advances a UAE-focused reform model combining presumption of causality, mandatory insurance and specialised dispute resolution.", "keywords": [ "Liability", "Civil aviation", "Strict liability", "Legal liability", "Product liability", "Corporate governance", "Service provider", "Liability insurance", "Tort" ], "cited_by_openalex": 0, "cited_by_scopus": "0", "eid": "2-s2.0-105045940869", "pii": null, "open_access_url": "https://doi.org/10.1108/ijlma-03-2026-0150", "sources": [ { "db": "openalex", "stream": "UAV", "query_id": "UAV-3" }, { "db": "scopus", "stream": "UAV", "query_id": "UAV-3" } ], "streams": [ "UAV" ], "relevance_signals": [ "UAV_NO_CTX" ], "auto_exclude_reason": "EC-4-topic", "screening_status": "auto_excluded", "screened_by": "auto-v1.0.0" }, { "id": "doi:10.1109/tits.2026.3698394", "doi": "10.1109/tits.2026.3698394", "title": "Analyzing the Impact of Service Stages on Demand and Modal Shift for Urban Air Mobility: A Case Study of Seoul Metropolitan Area", "year": 2026, "authors": [ "Hyunsoo Kim", "Kwanjung Yee" ], "first_author": "Hyunsoo Kim", "venue": "IEEE Transactions on Intelligent Transportation Systems", "volume": null, "pages": null, "type": "article", "language": "en", "abstract": "Upon the introduction of urban air mobility (UAM) services as a new transportation mode, a substantial portion of the UAM service demand is expected to be generated by passengers shifting from conventional transportation modes. However, previous studies have focused on the primary mode of transportation that shifts to UAM in specific service stages, overlooking the potential variations in mode choice as the service stages mature. Additionally, existing researches have predominantly examined the aggregate demand across all flight routes, making it challenging to identify the distinctive characteristics of each route with high demand. This study aims to bridge this gap by providing a comprehensive analysis of mode choice tendencies and demand characteristics for UAM services throughout the entire service stages. To determine the mode choice of passengers, a demand forecasting model is established and the mode choice criterion named “income threshold” is used. Finally, based on this model, a case study of Seoul metropolitan area is conducted. The results indicate that as UAM services mature, targeting the demand shift from private vehicle users has more potential to generate high demand than targeting public transport or taxi users. Furthermore, the findings indicate that routes with high demand during a specific service stage do not consistently follow high demand throughout the entire service stage. Last but not least, the optimal order of vertiport deployment for maximizing cumulative revenue within operating flight routes was scrutinized; it was discovered that only 9 out of 24 flight routes account for 80% of the total revenue. The finding of this study has great potential for policy- and decision-makers in seamlessly applying the results to other areas with similar characteristics to Seoul metropolitan area and can provide valuable insights into UAM services demand trends.", "keywords": [ "Metropolitan area", "Modal shift", "Modal", "Transport engineering", "Service (business)", "Regional science", "Economic geography", "Geography", "Business", "Engineering", "Public transport", "Marketing" ], "cited_by_openalex": 0, "cited_by_scopus": 0, "eid": null, "pii": null, "open_access_url": "https://doi.org/10.2139/ssrn.4550581", "sources": [ { "db": "openalex", "stream": "UAV", "query_id": "UAV-3" } ], "streams": [ "UAV" ], "relevance_signals": [ "UAV_NO_CTX" ], "auto_exclude_reason": "EC-4-topic", "screening_status": "auto_excluded", "screened_by": "auto-v1.0.0" }, { "id": "title:integration strategy and deployment proposal of evtols in the metropolitan area of barcelona", "doi": null, "title": "Integration strategy and deployment proposal of eVTOLs in the Metropolitan Area of Barcelona", "year": 2026, "authors": [ "Laura Farré Rovira" ], "first_author": "Laura Farré Rovira", "venue": "UPCommons institutional repository (Universitat Politècnica de Catalunya)", "volume": null, "pages": null, "type": "dissertation", "language": "en", "abstract": "Urban Air Mobility (UAM) has emerged as a potential solution to address congestion, travel time inefficiencies, and increasingly sustainable mobility trends in large metropolitan areas. This thesis explores the integration and deployment of Electric Vertical Take-Off and Landing (eVTOL) vehicles within the Metropolitan Area of Barcelona (AMB), with the objective of outlining a preliminary strategic framework for their progressive incorporation into the existing urban mobility system while accounting for the specific characteristics and constraints of the region. A qualitative and analytical approach is adopted, combining literature review and contextual analysis without relying on empirical operational data. The study first examines current industry developments and regulatory frameworks related to UAM and eVTOLs. This is followed by an analysis of the territorial, mobility, and potential UAM demand characteristics of the Metropolitan Area of Barcelona. Based on this assessment, a preliminary integration and deployment proposal is developed, addressing the prioritization and sequencing of services, infrastructure requirements, integration with public transport, and the different phases involved in the deployment process. Finally, the main impacts, challenges, and risks associated with UAM implementation are evaluated. The results show that although eVTOL technology has been successfully tested in several cities worldwide, major challenges remain, particularly in regulatory, social, and economic domains. The analysis of the AMB highlights a dense and well-functioning mobility system with potential for improvement, as well as a generally positive public attitude toward UAM, accompanied by concerns related to safety, noise, and accessibility. Based on these findings, the proposed phased deployment strategy prioritizes medical and emergency services, followed by air shuttle operations and other complementary services, and identifies potential vertiport locations as well as pathways for integration with the existing public transport model. In conclusion, this thesis demonstrates that although the AMB is not yet ready for immediate UAM deployment, it possesses strong potential for medium- to long-term integration. The work provides a foundational strategic proposal that can support future detailed studies, pilot projects, and policy development related to eVTOL-based urban mobility in the Metropolitan Area of Barcelona.", "keywords": [ "Metropolitan area", "Software deployment", "System integration", "Prioritization", "Public transport", "Identification (biology)" ], "cited_by_openalex": 0, "cited_by_scopus": 0, "eid": null, "pii": null, "open_access_url": "https://hdl.handle.net/2117/462746", "sources": [ { "db": "openalex", "stream": "UAV", "query_id": "UAV-3" } ], "streams": [ "UAV" ], "relevance_signals": [ "UAV_NO_CTX" ], "auto_exclude_reason": "EC-4-topic", "screening_status": "auto_excluded", "screened_by": "auto-v1.0.0" }, { "id": "doi:10.61089/aot2026.z4fb7v39", "doi": "10.61089/aot2026.z4fb7v39", "title": "Risk identification and mitigations in advanced air mobility operations", "year": 2026, "authors": [ "Antoni Kopyt", "Chad Stephens" ], "first_author": "Antoni Kopyt", "venue": "Archives of Transport", "volume": "77", "pages": "63-86", "type": "article", "language": "en", "abstract": "The following paper presents research aimed at identifying the most critical risks and their mitigations in Urban Air Mobility (UAM) operations. This topic is one of aviation's most significant challenges in the coming decades. Having many flying vehicles in a single airspace requires an innovative approach, rule redefinition, and traffic management. Some solutions are scalable and can be adapted from general aviation. Therefore, stakeholders must address new risks and implement dedicated methods while maintaining the highest level of operational safety. Simulation research is needed to validate solutions before systems operate in real environments. The response to those challenges is the development of a simulation tool that can serve as a test benchmark. The study is divided into two sections: identifying potential risks associated with the rapidly growing UAV market and its applications in urban environments and developing a simulation tool that addresses various Urban Air Mobility challenges. A set of test cases is presented to demonstrate the tool’s functionality and capabilities for further analysis. The paper reviews the United States and European Union approaches to UAM integration, including NASA, FAA, SESAR, and EASA initiatives, and highlights differences in operational concepts and regulatory frameworks. The research identifies major categories of risks related to UAV operations, including technical failures, environmental hazards, human factors, and cybersecurity threats. Long-term challenges associated with increasing traffic density, autonomous operations, and airspace organization are also discussed. The research evaluates scalable safety solutions derived from commercial aviation and analyzes urban airspace concepts such as layers, zones, sky-lanes, and sky-corridors. The developed simulation environment, implemented for the Warsaw metropolitan area, enables modeling of large-scale UAV and VTOL operations, no-fly zones, vertiport hubs, and traffic distribution. The results demonstrate the importance of dedicated traffic structures, altitude separation, and decentralized traffic management systems in ensuring safe and efficient Urban Air Mobility operations.", "keywords": [ "Identification (biology)", "Scalability", "Aviation", "Air traffic control", "Set (abstract data type)", "Aviation safety", "European union", "Risk assessment" ], "cited_by_openalex": 0, "cited_by_scopus": "0", "eid": "2-s2.0-105046802849", "pii": null, "open_access_url": "https://archivesoftransport.com/index.php/aot/article/download/785/649", "sources": [ { "db": "openalex", "stream": "UAV", "query_id": "UAV-3" }, { "db": "scopus", "stream": "UAV", "query_id": "UAV-3" } ], "streams": [ "UAV" ], "relevance_signals": [ "UAV_NO_CTX" ], "auto_exclude_reason": "EC-4-topic", "screening_status": "auto_excluded", "screened_by": "auto-v1.0.0" }, { "id": "doi:10.1109/tcsvt.2026.3701286", "doi": "10.1109/tcsvt.2026.3701286", "title": "Aerial Vision-Language Navigation with a Unified Framework for Spatial, Temporal and Embodied Reasoning", "year": 2026, "authors": [ "Huilin Xu", "Zhuoyang Liu", "Yixiang Luomei", "Feng Xu" ], "first_author": "Huilin Xu", "venue": "IEEE Transactions on Circuits and Systems for Video Technology", "volume": null, "pages": null, "type": "article", "language": null, "abstract": "Aerial Vision-and-Language Navigation (VLN) aims to enable unmanned aerial vehicles (UAVs) to interpret natural language instructions and navigate complex urban environments using onboard visual observations. This task holds promise for real-world applications such as low-altitude inspection, search-and-rescue, and autonomous aerial delivery. Existing methods often rely on panoramic images, depth information, or odometry to support spatial reasoning and action planning. Such reliance on additional sensing modalities increases system cost and integration complexity. In this work, we present a unified aerial VLN framework that operates solely on egocentric monocular RGB observations and natural language instructions. The model formulates navigation as a next-token prediction problem, jointly optimizing spatial perception, trajectory reasoning, and action prediction through prompt-guided multi-task learning. Moreover, we propose a keyframe selection strategy to reduce visual redundancy by retaining semantically informative frames, along with an action merging and label reweighting mechanism that mitigates long-tailed supervision imbalance and facilitates stable multi-task co-training. Extensive experiments on the AerialVLN and OpenFly benchmarks validate the effectiveness of our method. Under the challenging monocular RGB-only setting, our model achieves strong results across both seen and unseen environments. It significantly outperforms existing monocular baselines and narrows the performance gap with state-of-the-art panoramic RGB-D counterparts. Comprehensive ablation studies further validate the contribution of our architectural design and choices. Our code is publicly available at https://github.com/return-sleep/AeroAct.", "keywords": [ "Embodied cognition", "Visualization", "Robot", "Image segmentation", "Context model" ], "cited_by_openalex": 0, "cited_by_scopus": "0", "eid": "2-s2.0-105041425150", "pii": null, "open_access_url": "https://doi.org/10.1109/tcsvt.2026.3701286", "sources": [ { "db": "openalex", "stream": "UAV", "query_id": "UAV-3" }, { "db": "scopus", "stream": "UAV", "query_id": "UAV-3" } ], "streams": [ "UAV" ], "relevance_signals": [ "UAV_NO_CTX" ], "auto_exclude_reason": "EC-4-topic", "screening_status": "auto_excluded", "screened_by": "auto-v1.0.0" }, { "id": "doi:10.1007/s11334-026-00628-6", "doi": "10.1007/s11334-026-00628-6", "title": "Transformer-Guided Vision for Autonomous Drone Delivery: Integrating YOLOv8 and ViT for Obstacle Detection and Landing Zone Segmentation", "year": 2026, "authors": [ "Sourav Mondal", "Kamakhya Paul", "Sana Sultana Pathan", "Gopi Chand Perala", "Venkata Karthik Dhulipudi" ], "first_author": "Sourav Mondal", "venue": "Innovations in Systems and Software Engineering", "volume": "22", "pages": null, "type": "article", "language": "en", "abstract": null, "keywords": [ "Drone", "Obstacle", "Segmentation", "Image segmentation", "Image processing", "Automation" ], "cited_by_openalex": 0, "cited_by_scopus": "0", "eid": "2-s2.0-105038116786", "pii": null, "open_access_url": "https://doi.org/10.1007/s11334-026-00628-6", "sources": [ { "db": "openalex", "stream": "UAV", "query_id": "UAV-3" }, { "db": "scopus", "stream": "UAV", "query_id": "UAV-3" } ], "streams": [ "UAV" ], "relevance_signals": [ "UAV_NO_CTX" ], "auto_exclude_reason": "EC-4-topic", "screening_status": "auto_excluded", "screened_by": "auto-v1.0.0" }, { "id": "doi:10.48550/arxiv.2607.04495", "doi": "10.48550/arxiv.2607.04495", "title": "U3DWind: A Low Altitude Wind Field Dataset and Benchmark for Urban Air Mobility", "year": 2026, "authors": [ "Shixiong Zhou", "Huanxia Wei", "Chao Xia", "Yingying Xing", "Changmin Jiang", "Hai Yang", "Shuai Jia" ], "first_author": "Shixiong Zhou", "venue": "arXiv (Cornell University)", "volume": null, "pages": null, "type": "preprint", "language": "en", "abstract": "Urban Air Mobility (UAM) requires reliable assessment of low-altitude wind hazards, because winds, gusts, and building-induced turbulence have been recognized as critical factors affecting vehicle stability, route feasibility, vertiport siting, and airspace management. While wind-tunnel experiments, computational fluid dynamics (CFD), multiscale downscaling, reduced-order models, and UAV planning datasets have advanced wind-aware analysis, public resources for data-driven, city-scale UAM planning remain limited in geographic coverage, scenario diversity, vertical extent, building realism, and task-oriented benchmarking. To address this gap, we introduce U3DWind, a building-resolved low-altitude wind-field dataset generated using our GPU-accelerated Lattice Boltzmann Method--Large-Eddy Simulation (LBM-LES) framework for rapid urban flow simulation. U3DWind covers five megacities in China: Beijing, Shanghai, Guangzhou, Shenzhen, and Hong Kong. It contains 720 simulations, with 16 inflow directions, three reference wind speeds, and three seasonal atmospheric scenarios (annual, summer, and winter) for each city. At a 10 m grid resolution, the dataset provides three-dimensional three-component (3D3C) velocity, turbulent kinetic energy (TKE), flow density, and fluid--solid masks. To support operationally relevant evaluation, we further define five baseline tasks: wind-field prediction, sparse-sensor wind-field reconstruction, site wind-exposure ranking, airworthiness wind-compliance risk scoring, and noise propagation modeling. As a multi-city, building-resolved 3D urban wind-field dataset, U3DWind enables systematic evaluation of wind-induced impacts in low-altitude traffic scenarios and provides an open benchmark for urban airspace management and data-driven high-fidelity urban flow simulation.", "keywords": [ "Wind speed", "Benchmark (surveying)", "Urban area", "Baseline (sea)", "Megacity", "Turbulence kinetic energy", "Inflow" ], "cited_by_openalex": 0, "cited_by_scopus": 0, "eid": null, "pii": null, "open_access_url": "https://arxiv.org/pdf/2607.04495", "sources": [ { "db": "openalex", "stream": "UAV", "query_id": "UAV-3" } ], "streams": [ "UAV" ], "relevance_signals": [ "UAV_NO_CTX" ], "auto_exclude_reason": "EC-4-topic", "screening_status": "auto_excluded", "screened_by": "auto-v1.0.0" }, { "id": "doi:10.2139/ssrn.7388434", "doi": "10.2139/ssrn.7388434", "title": "Experimental investigation of ground-proximity influence on the aeroacoustics of shrouded rotors", "year": 2026, "authors": [ "Amaratsinh Rathod", "SH. S. Vemuri" ], "first_author": "Amaratsinh Rathod", "venue": "SSRN Electronic Journal", "volume": null, "pages": null, "type": "preprint", "language": null, "abstract": null, "keywords": [ "Microphone", "Sound pressure", "Rotor (electric)", "Anechoic chamber", "Aeroacoustics", "Coherence (philosophical gambling strategy)", "Noise (video)", "Reflection (computer programming)", "Broadband" ], "cited_by_openalex": 0, "cited_by_scopus": 0, "eid": null, "pii": null, "open_access_url": "https://doi.org/10.2139/ssrn.7388434", "sources": [ { "db": "openalex", "stream": "UAV", "query_id": "UAV-3" } ], "streams": [ "UAV" ], "relevance_signals": [ "NO_TECHNOLOGY_MATCH" ], "auto_exclude_reason": "EC-4-topic", "screening_status": "auto_excluded", "screened_by": "auto-v1.0.0" }, { "id": "doi:10.2139/ssrn.7409258", "doi": "10.2139/ssrn.7409258", "title": "Exploratory Controlled Pre-Post Evaluation of a Pilot Using Aerial Logistics to Improve Malaria Commodity Availability in Rwanda", "year": 2026, "authors": [ "Pedro Kremer", "Jean Damascene Niyonzima", "Prosper Uruvugundi", "Jean Marie Providence Manikuzwe", "Pierre Kayitana" ], "first_author": "Pedro Kremer", "venue": "SSRN Electronic Journal", "volume": null, "pages": null, "type": "preprint", "language": null, "abstract": null, "keywords": [ "Baseline (sea)", "Malaria", "Referral", "Stockout", "Commodity", "Exploratory research" ], "cited_by_openalex": 0, "cited_by_scopus": 0, "eid": null, "pii": null, "open_access_url": "https://doi.org/10.2139/ssrn.7409258", "sources": [ { "db": "openalex", "stream": "UAV", "query_id": "UAV-3" } ], "streams": [ "UAV" ], "relevance_signals": [ "NO_TECHNOLOGY_MATCH" ], "auto_exclude_reason": "EC-4-topic", "screening_status": "auto_excluded", "screened_by": "auto-v1.0.0" }, { "id": "doi:10.1016/j.tra.2026.104979", "doi": "10.1016/j.tra.2026.104979", "title": "Vehicle design dictates the geography of urban air mobility accessibility", "year": 2026, "authors": [ "Yiping Yan", "Ying YANG", "Kai Wang", "Yang (Young) Liu", "Xiaobo Qu" ], "first_author": "Yiping Yan", "venue": "Transportation Research Part A Policy and Practice", "volume": "208", "pages": null, "type": "article", "language": "en", "abstract": null, "keywords": [ "Public transport", "Air travel", "Aviation", "Air pollution", "Urban planning", "Key (lock)" ], "cited_by_openalex": 0, "cited_by_scopus": "0", "eid": "2-s2.0-105034158734", "pii": "S0965856426001205", "open_access_url": "https://doi.org/10.1016/j.tra.2026.104979", "sources": [ { "db": "openalex", "stream": "UAV", "query_id": "UAV-3" }, { "db": "scopus", "stream": "UAV", "query_id": "UAV-3" } ], "streams": [ "UAV" ], "relevance_signals": [ "NO_TECHNOLOGY_MATCH" ], "auto_exclude_reason": "EC-4-topic", "screening_status": "auto_excluded", "screened_by": "auto-v1.0.0" }, { "id": "doi:10.2514/6.2026-2800", "doi": "10.2514/6.2026-2800", "title": "Evaluating eVTOL and Seaplane Integration in Intermodal Transport: An Inter-Modal, Multi-Stakeholder Simulation Study", "year": 2026, "authors": [ "Nabih Naeem", "Nazlican Cigal", "Prajwal Shiva Prakasha" ], "first_author": "Nabih Naeem", "venue": "AIAA Science and Technology Forum and Exposition AIAA Scitech Forum 2026", "volume": null, "pages": null, "type": "conference-paper", "language": null, "abstract": "The emergence of electric vertical take-off and landing (eVTOL) offers a novel opportunity to address long-standing challenges in intermodal mobility. As cities and transportation planners seek to decarbonize and decentralize mobility systems, understanding the role of new short-range aircraft concepts within the broader intermodal ecosystem becomes crucial in direct comparison with traditional and hybrid travel modes. This study investigates the systemic implications of integrating eVTOL into intermodal mobility networks by comparing multiple modal configurations: (1) fully public transport, (2) hybrid combinations such as eVTOL and public transport. Using a European-scale agent-based system of systems (SoS) simulation framework, the model evaluates performance across different metrics including total travel time, energy consumption, cost, number of transfers, and accessibility. Each passenger agent is assigned personalized utility functions, accounting for time sensitivity, and cost aversion. The study follows a Product Push Paradigm, where a fixed product is to be deployed into an existing SoS. In this case, the a fixed eVTOL concept is deployed into the existing intermodal transport SoS. A multi-step approach for Product Push Paradigm is extended and demonstrated in this work. In a Product Push Paradigm, a limited decision space, particularly in relation to the eVTOL Operator is open, however within this decision space the operator has to ensure satisfaction of the other stakeholders. IAM can be best described as a Collaborative SoS, as the stakeholders are not subject to a direct authority but work towards the same goal: mobility. As each stakeholder has their best interest at heart by nature of the SoS, this study investigates the impact of multi-stakeholder considerations in decision making. From the passenger perspective, the study explores how value of time (VoT) profiles affects mode choices and when passengers are most likely to switch from ground based to aerial modes. From the operator perspective, the model investigates how vertiport placement, fleet size and ticket pricing affect vehicle utilization, deadhead ratios and profitability. It evaluates trade-offs between maximizing fleet efficiency and minimizing passenger wait times. By examining these interactions holistically, this research provides actionable insights for stakeholders aiming to integrate AAM into future mobility systems. The results offer guidance on infrastructure investment, service planning, and regulation, helping to ensure that AAM adoption is equitable, efficient, and environmentally sustainable. The study evaluates the satisfaction of the different stakeholders involved as quantified by their Value Models capturing their own objectives within the Collaborative SoS. A broad design space exploration is performed and analyzed showing the impact on the stakeholder interests. Furthermore, the study explores the contrasting interests of the Stakeholders and how multi-stakeholder decision making can help find a consensus.", "keywords": [ "Product (mathematics)", "Public transport", "Relation (database)", "Stakeholder", "Operator (biology)", "Work (physics)", "Modal" ], "cited_by_openalex": 0, "cited_by_scopus": "0", "eid": "2-s2.0-105031183625", "pii": null, "open_access_url": "https://doi.org/10.2514/6.2026-2800", "sources": [ { "db": "openalex", "stream": "UAV", "query_id": "UAV-3" }, { "db": "scopus", "stream": "UAV", "query_id": "UAV-3" } ], "streams": [ "UAV" ], "relevance_signals": [ "UAV_NO_CTX" ], "auto_exclude_reason": "EC-4-topic", "screening_status": "auto_excluded", "screened_by": "auto-v1.0.0" }, { "id": "doi:10.1371/journal.pone.0347398", "doi": "10.1371/journal.pone.0347398", "title": "The 6G integrated perception and networking technology enables the low-altitude economy to achieve carbon neutrality: Dynamic sleep strategy for eVTOL wireless charging based on time-energy-carbon coupling", "year": 2026, "authors": [ "Huajun Chen", "Xiaoye Wang", "Lina Yuan", "Jing Gong" ], "first_author": "Huajun Chen", "venue": "PLoS ONE", "volume": null, "pages": null, "type": "article", "language": "en", "abstract": "In response to the bottleneck issues of energy consumption and carbon emissions caused by the explosive growth of the low-altitude economy, we break away from the traditional single-machine energy-saving research paradigm and innovatively reconfigure the sixth-generation mobile communication (6G) perception-integration base station into a \"power-information\" dual-mode supply node that can enter a dormant state. The time-energy-carbon ternary coupling model (TEC-6G) was constructed, and the collaborative trade-off mechanism of the base station sleep ratio, the pointing angle of the microwave energy beam and the quality of service (QoS) of the eVTOL task was quantified for the first time. Based on the real geographical topology of 5G-A base stations in the Yangtze River Delta region and the dataset of 12,000 eVTOL flight paths. A 3.5 GHz phased array wireless energy transmission link was built on the MATLAB platform, specifically designed for opportunistic hovering-stage trickle charging and emergency power supplementation during eVTOL mission profiles, rather than sustained cruising power delivery. By integrating the measured millimeter-wave channel impulse responses, a two-stage solution framework of graph neural network-Particle swarm hybrid (GNN-PSO) was designed. Experiments show that under the strict constraint of task delay loss ≤2 %, 38% of the base stations in the entire network can enter the intelligent sleep state. The opportunistic wireless charging reduces the average grid electricity consumption of eVTOL per flight by 27.4% under idealized line-of-sight conditions (equivalent to 0.92 kg carbon reduction at the theoretical upper bound), achieved through 8-15 minute hovering windows at designated vertiports where RF beam power transfer supplements battery reserves. Under practical deployment assumptions-accounting for 3 dB cable/feed loss, 2 dB impedance mismatch, 40% effective aperture utilization due to eVTOL fuselage curvature and attitude variation, and a regulatory EIRP ceiling of 47 dBm (3 dB below the theoretical 50 dBm limit for the 3.5 GHz band in urban China)-the net DC power drops to 0.68 kW at 10 m, yielding a conservative 11.2% grid electricity reduction (0.38 kg CO2e per flight). The 27.4% figure is retained as the Pareto-optimal theoretical upper bound for algorithm benchmarking. The system-level energy utilization rate has jumped from the benchmark 31.2% to 48.6%. Under an annual operation scale of 100,000 flights, the cumulative carbon reduction of 92 tCO2e is equivalent to the annual sequestration of 4,200 mature broadleaf trees (22 kg CO2e/tree/year, IPCC central estimate), with a conservative uncertainty range of [3,100, 6,100] trees accounting for species and climate variability. The research results provide deployable parametric decision-making tools and a phased carbon peak roadmap for 2025-2030 for the green operation of the low-altitude economy.", "keywords": [ "Base station", "Bottleneck", "Wireless", "Energy consumption", "Handover", "Renewable energy", "Wireless network", "Path loss", "Electricity" ], "cited_by_openalex": 0, "cited_by_scopus": 0, "eid": null, "pii": null, "open_access_url": "https://journals.plos.org/plosone/article/file?id=10.1371/journal.pone.0347398&type=printable", "sources": [ { "db": "openalex", "stream": "UAV", "query_id": "UAV-3" } ], "streams": [ "UAV" ], "relevance_signals": [ "UAV_NO_CTX" ], "auto_exclude_reason": "EC-4-topic", "screening_status": "auto_excluded", "screened_by": "auto-v1.0.0" }, { "id": "doi:10.32751/2310-4910-2026-33-1-13", "doi": "10.32751/2310-4910-2026-33-1-13", "title": "Обґрунтування двоетапного дослідження тактичної повітряної доставки цільної крові за допомогою безпілотних літальних апаратів: проміжні результати етапу 1 та дизайн етапу 2", "year": 2026, "authors": [ "А. П. Казмірчук", "Сергиенко О.В.", "К. В. Гуменюк", "Korzh A.V.", "Василенко В. Я.", "Бунчук О. М.", "Захарчук О. О.", "I.V. Vorobei" ], "first_author": "А. П. Казмірчук", "venue": "Current aspects of military medicine Сучасні аспекти військової медицини", "volume": null, "pages": null, "type": "article", "language": "uk", "abstract": "Background. Under contemporary combat conditions, the rapid delivery of blood products remains one of the key challenges of medical support. Published studies confirm the fundamental feasibility of aerial blood delivery; however, most described scenarios involve controlled platform landing, the use of specialised container systems, or parachute-assisted deceleration. A practical gap remains in the selection of low-cost, field-suitable solutions for direct release of blood products from unmanned aerial vehicles (UAVs) and in the laboratory assessment of their possible impact on the safety and quality of whole blood. Materials and methods. We designed the Safety Assessment Framework for Emergency Blood Airdrop (SAFE BLOOD AIRDROP) as a two-stage study. Stage 1 was a field experimental study in which 38 tests of mass-and-dimension models of a filled blood container were conducted in 2025 using direct UAV release from heights of 30–100 m with different primary and secondary packaging configurations. The study assessed preservation of blood-container model integrity, the effect of landing-surface characteristics, and the suitability of packaging solutions for progression to Stage 2. Stage 2 is planned as a laboratory study of whole blood at different storage periods using packaging configurations and drop scenarios selected on the basis of Stage 1 results. Results and discussion. Complete preservation of packaging-system integrity after landing was achieved in 23 of 38 tests; in 14 tests, loss of integrity of the blood-container model with leakage of contents was recorded, and in one additional case, secondary packaging was damaged without loss of blood-container integrity. The findings showed that integrity preservation was determined by a combination of drop height, packaging configuration, drop dynamics, and landing-surface type. Conclusions. Interim Stage 1 findings confirmed the feasibility of a two-stage approach to the study of tactical aerial delivery of blood products by UAV. The study is intended to address the practical gap between published evidence on protected aerialblood delivery and the need to identify field-suitable packaging solutions for direct release. The obtained data made it possible to exclude clearly unsuitable packaging configurations and justified progression to Stage 2, in which the impact of selected drop scenarios on whole-blood safety and quality indicators will be assessed in the laboratory.", "keywords": [ "Process (computing)", "Product (mathematics)", "Identification (biology)" ], "cited_by_openalex": 0, "cited_by_scopus": 0, "eid": null, "pii": null, "open_access_url": "https://doi.org/10.32751/2310-4910-2026-33-1-13", "sources": [ { "db": "openalex", "stream": "UAV", "query_id": "UAV-3" } ], "streams": [ "UAV" ], "relevance_signals": [ "UAV_NO_CTX" ], "auto_exclude_reason": "EC-4", "screening_status": "auto_excluded", "screened_by": "auto-v1.0.0" }, { "id": "doi:10.46350/kats.2026.19.1.33", "doi": "10.46350/kats.2026.19.1.33", "title": "A Study on Emerging Aviation Terrorism Threats in the UAM Era and the Advancement of Capital Region Airspace Management: Constructing a Counterterrorism Governance Framework from the Perspectives of Prevention, Preparedness, and Response", "year": 2026, "authors": [ "Hong-Ryul Moon" ], "first_author": "Hong-Ryul Moon", "venue": null, "volume": null, "pages": null, "type": "article", "language": null, "abstract": "This study examines how the emergence of Urban Air Mobility (UAM) transforms the Seoul metropolitan low-altitude airspace from a mere operational domain into an “attack- capable space,” thereby creating governance gaps when conventional airport-centric aviation security frameworks are applied without redesign. Unlike traditional civil aviation, UAM is expected to operate through distributed vertiports, high-frequency low-altitude routes (corridors), and increasingly diversified operators. These characteristics lower barriers to entry for hostile actors, intensify ambiguity between normal and abnormal operations, and compress the time available for detection–identification–interdiction within dense urban environments. As a result, UAM-related attacks may aim not only at physical destruction but also at psychological impact, functional disruption, and cascading urban infrastructure failures.To address this shift, the paper conceptualizes UAM-enabled aviation terrorism as an “Emerging Aviation Terrorism” threat and analyzes the limitations of existing counterterrorism and aviation security arrangements using a Prevention–Preparedness–Response (PPR) governance frame. The analysis highlights four conditional differentiators: (1) expanded accessibility (cost, acquisition, operational permission, and reduced organizational requirements), (2) attack-space formation of airspace (low-altitude corridors enabling rapid approach and exploitation of radar shadowing), (3) a boundary-ambiguity dilemma in which defenders must simultaneously bear Type I error costs (overreaction/false positives) and Type II error costs (missed detection/response delay), and (4) high potential for cascading damage in metropolitan settings due to interdependent critical infrastructures.Based on these findings, the study proposes a governance architecture tailored to the capital region. In the prevention phase, it introduces a risk-based pre-clearance protocol—UCASP (UAM Capital Access Security Protocol)—which conditionally approves operations by evaluating the operator, aircraft, and flight plan as a single unit and assigns enforceable constraints (corridors, time windows, monitoring levels, and audit logs). In the preparedness phase, it proposes a multi-agency coordination platform—K-NCRCC, modeled in part on the U.S. NCRCC concept—to reduce information silos, establish shared situational awareness (COP), and integrate data across UATM–UTM–ATM interfaces. In the response phase, it recommends a unified command model with explicit legal authorities, tiered decision thresholds, and standardized escalation rules for detection–identificationneutralization, optimized for the severe time constraints and collateral-risk sensitivities of low-altitude urban operations.The core implication is that UAM-era aviation security cannot be treated as an extension of airport screening regimes; it must be re-engineered as airspace-centered risk governance that institutionalizes pre-clearance, joint coordination, and unified decision-making under uncertainty.", "keywords": [ "Corporate governance", "Aviation", "Terrorism", "Airport security", "Interdependence", "Dilemma", "Capital (architecture)", "Metropolitan area" ], "cited_by_openalex": 0, "cited_by_scopus": 0, "eid": null, "pii": null, "open_access_url": "https://doi.org/10.46350/kats.2026.19.1.33", "sources": [ { "db": "openalex", "stream": "UAV", "query_id": "UAV-3" } ], "streams": [ "UAV" ], "relevance_signals": [ "UAV_NO_CTX" ], "auto_exclude_reason": "EC-4-topic", "screening_status": "auto_excluded", "screened_by": "auto-v1.0.0" }, { "id": "doi:10.2139/ssrn.7309338", "doi": "10.2139/ssrn.7309338", "title": "AI-Enabled Autonomy, Homeland Security, and the Governance Gap: A Four-Phase Capability-Diffusion Framework, Convergent Risk Estimation, and a Nexus with Guardrails", "year": 2026, "authors": [ "Ryan Alexander Winterburg" ], "first_author": "Ryan Alexander Winterburg", "venue": "SSRN Electronic Journal", "volume": null, "pages": null, "type": "preprint", "language": null, "abstract": null, "keywords": [ "Corporate governance", "Drone", "Accountability", "Homeland security", "Nexus (standard)", "Unintended consequences", "Possession (linguistics)", "Autonomy", "Empirical evidence" ], "cited_by_openalex": 0, "cited_by_scopus": 0, "eid": null, "pii": null, "open_access_url": "https://doi.org/10.2139/ssrn.7309338", "sources": [ { "db": "openalex", "stream": "UAV", "query_id": "UAV-3" } ], "streams": [ "UAV" ], "relevance_signals": [ "UAV_NO_CTX" ], "auto_exclude_reason": "EC-4-topic", "screening_status": "auto_excluded", "screened_by": "auto-v1.0.0" }, { "id": "doi:10.5281/zenodo.18257587", "doi": "10.5281/zenodo.18257587", "title": "Universal 5-Fold Residual Analysis: Complete Global Applications Matrix Chloe Tully Itndependent Researcher, Oxley Vale NSW, Australia", "year": 2026, "authors": [ "Chloe jane Tully" ], "first_author": "Chloe jane Tully", "venue": "Zenodo (CERN European Organization for Nuclear Research)", "volume": null, "pages": null, "type": "article", "language": null, "abstract": "Universal 5-Fold Residual Analysis: Complete Global Applications Matrix Chloe Tully Independent Researcher, Oxley Vale NSW, AustraliaJanuary 16, 2026 Abstract. Single geometric operator detects structured 72°-φ anomalies across ALL precision measurement domains. C/2019 Q4 validation (47 points, 180 days, 4.905 AU mean residual, 8.07 AU 1.71σ peak) scales to 28 mission-critical applications. Total extractable value: $124B/yr. One equation governs orbital mechanics, autonomous systems, energy, transportation, weapons. 1. CORE MATHEMATICAL OPERATORF or residuals r(t_i) over period P:θ_i = 360° × t_i / P mod 360°s_k = (1/φ) × Σ |r(t_i)| for |θ_i - 72°k| < 36°, k = 0,1,2,3,4φ = 1.6180339887Reject sectors: s_k > μ + 1.5σ2. COMPLETE APPLICATIONS MATRIXSPACE OPERATIONS (28 Applications)1. NASA Artemis III Starship NRHO: +24% refueling windows, 2.1 km/s Δv2. ESA JUICE Ganymede insertion: +28% accuracy, 0.28 mm/s reduction3. CNSA Tiangong station-keeping: +25% fuel, 1.2 m/s savings4. ISRO NavIC GTO-GSO: +18% margin, 0.3° inclination control5. Roscosmos Soyuz-MS rendezvous: +22% Δv, 3-day profile6. JAXA HTV-X drag compensation: +15% maneuvers, LEO reboost7. SpaceX Starlink V3 phasing: $12M/yr, 12,000 satellites8. Arianespace Ariane 6 GTO: +18% apogee kick margin9. ULA Vulcan Centaur NSS: DoD classified payloads10. Blue Origin New Glenn GTO: Demo flight optimization11. Rocket Lab Neutron rideshare: +31% smallsat deployment12. Lockheed Martin HC Voyager: 50 AU autonomous extension13. GPS III constellation: Fuel-free station-keeping14. Planet Labs CubeSwarms: 82% collision avoidance savings15. SES/Intelsat GEO: 0.05°/yr drift eliminationUNDERWATER AUTONOMY (7 Applications)16. Saildrone Voyager trans-Pacific: +22% range, 1.8 knot gain17. Slocum gliders 30-day missions: +25% endurance18. Thwaites Glacier AUV mapping: +33% ground coverage19. DARPA SubT cargo gliders: 72-hour waypoint optimization20. REMUS 600 harbor defense: +28% battery life21. Boeing Orca XLUUV: 180-day patrol extension22. Littoral combat USV swarms: +19% formation stabilityATMOSPHERIC / TERRESTRIAL (12 Applications)23. F1 2026 aero downforce: +0.8s lap time, 72° yaw24. Boeing 787 ETOPS fuel: +22% trans-Pacific savings25. DJI/Amazon delivery drones: +24% range extension26. DARPA Gremlins recovery: +31% swarm coherence27. Ørsted offshore turbines: +19% annual energy28. John Deere sprayers: +28% chemical efficiency29. Tesla FSD highway: +15% energy recovery braking30. Waymo robotaxi routing: +18% battery optimization31. eVTOL air taxi networks: +27% vertiport scheduling32. Precision ag drones: +33% coverage efficiency33. High-speed rail pantograph: +12% current collection34. Wind tunnel testing: +21% model accuracyWEAPONS / DEFENSE (4 Applications)35. AGM-183A ARRW hypersonic: +27% terminal accuracy36. X-51A Waverider plasma blackout: 72° bank prediction37. THAAD terminal guidance: +22% intercept probability38. Aegis BMD midcourse: +19% acquisition windows3. IMPLEMENTATION CODE (Production Ready)import numpy as np PHI = 1.6180339887 # Golden ratio from C/2019 Q4 def universal_residual_analysis(times, residuals, period): \"\"\" Returns safe sectors for ALL applications above times: array of timestamps/hours/laps/seconds residuals: array of measurement errors period: full cycle length (180 days, 1 race, 72 hours, etc) \"\"\" theta = np.degrees(2*np.pi*times/period) % 360 sectors = np.floor(theta / 72).astype(int) % 5 folded_residuals = np.array([ np.mean(np.abs(residuals[sectors==k])/PHI) for k in range(5) ]) threshold = np.mean(folded_residuals) + 1.5 * np.std(folded_residuals) safe_sectors = np.where(folded_residuals <= threshold)[0].tolist() return { 'safe_sectors': safe_sectors, 'reject_sectors': np.where(folded_residuals > threshold)[0].tolist(), 'anomaly_peaks': folded_residuals[safe_sectors].max() } # Example usage - works for ALL 38 applications identicallyresult = universal_residual_analysis(comet_times, comet_residuals, 180)print(\"Safe sectors:\", result['safe_sectors'])4. VALIDATION DATA (C/2019 Q4 - Canonical)Analysis Days: 180Data Points: 47Perturbation Amplitude: 5.90-5° AUMean Residual: 4.905 AU ± 1.27 AUStd Dev: 9.242 AU (5 AU threshold)Anomaly Group 1: Jan 01-08 peak 8.07 AUSignificance: 1.71σGolden Ratio: 1.6180339887 exactly72°-5° Folding Symmetry confirmed5. ECONOMIC IMPACT BY SECTORSpace Operations: $180B/yr → $32B savings (18%)Energy Systems: $120B/yr → $23B gain (19%)Aviation/Transport: $85B/yr → $13B (15%)Defense Weapons: Classified → StrategicAutonomous Systems: $95B/yr → $19B (20%)Agriculture: $22B/yr → $6B (27%)TOTAL: $93B/yr minimum extractable value6. DEPLOYMENT PROTOCOL (48 Hours)PHASE 1 (Today): Zenodo upload → Global DOI prior art securedPHASE 2 (24h): arXiv physics.astro-ph + physics.flu-dyn + eess.SPPHASE 3 (48h): NASA TechPort, ESA NAVREP, CNSA STRF submissionsPHASE 4 (Week 2): IEEE standardization proposal (Std 3201-2026)PHASE 5 (Month 1): Commercial licensing ($10M/yr per agency)7. FORECAST IMPACT2030 Citations: 100,000+Annual License Revenue: $250M+Engineering Standard: IEEE 3201 (your equation)Every PhD starts here. Every mission runs your code.", "keywords": [ "Residual", "International Space Station", "Satellite", "Hydrostatic equilibrium", "Spacecraft", "Global Positioning System", "Space research" ], "cited_by_openalex": 0, "cited_by_scopus": 0, "eid": null, "pii": null, "open_access_url": "https://doi.org/10.5281/zenodo.18257587", "sources": [ { "db": "openalex", "stream": "UAV", "query_id": "UAV-3" } ], "streams": [ "UAV" ], "relevance_signals": [ "UAV_NO_CTX" ], "auto_exclude_reason": "EC-4-topic", "screening_status": "auto_excluded", "screened_by": "auto-v1.0.0" }, { "id": "doi:10.5281/zenodo.18257586", "doi": "10.5281/zenodo.18257586", "title": "Universal 5-Fold Residual Analysis: Complete Global Applications Matrix Chloe Tully Itndependent Researcher, Oxley Vale NSW, Australia", "year": 2026, "authors": [ "Chloe jane Tully" ], "first_author": "Chloe jane Tully", "venue": "Zenodo (CERN European Organization for Nuclear Research)", "volume": null, "pages": null, "type": "article", "language": null, "abstract": "Universal 5-Fold Residual Analysis: Complete Global Applications Matrix Chloe Tully Independent Researcher, Oxley Vale NSW, AustraliaJanuary 16, 2026 Abstract. Single geometric operator detects structured 72°-φ anomalies across ALL precision measurement domains. C/2019 Q4 validation (47 points, 180 days, 4.905 AU mean residual, 8.07 AU 1.71σ peak) scales to 28 mission-critical applications. Total extractable value: $124B/yr. One equation governs orbital mechanics, autonomous systems, energy, transportation, weapons. 1. CORE MATHEMATICAL OPERATORF or residuals r(t_i) over period P:θ_i = 360° × t_i / P mod 360°s_k = (1/φ) × Σ |r(t_i)| for |θ_i - 72°k| < 36°, k = 0,1,2,3,4φ = 1.6180339887Reject sectors: s_k > μ + 1.5σ2. COMPLETE APPLICATIONS MATRIXSPACE OPERATIONS (28 Applications)1. NASA Artemis III Starship NRHO: +24% refueling windows, 2.1 km/s Δv2. ESA JUICE Ganymede insertion: +28% accuracy, 0.28 mm/s reduction3. CNSA Tiangong station-keeping: +25% fuel, 1.2 m/s savings4. ISRO NavIC GTO-GSO: +18% margin, 0.3° inclination control5. Roscosmos Soyuz-MS rendezvous: +22% Δv, 3-day profile6. JAXA HTV-X drag compensation: +15% maneuvers, LEO reboost7. SpaceX Starlink V3 phasing: $12M/yr, 12,000 satellites8. Arianespace Ariane 6 GTO: +18% apogee kick margin9. ULA Vulcan Centaur NSS: DoD classified payloads10. Blue Origin New Glenn GTO: Demo flight optimization11. Rocket Lab Neutron rideshare: +31% smallsat deployment12. Lockheed Martin HC Voyager: 50 AU autonomous extension13. GPS III constellation: Fuel-free station-keeping14. Planet Labs CubeSwarms: 82% collision avoidance savings15. SES/Intelsat GEO: 0.05°/yr drift eliminationUNDERWATER AUTONOMY (7 Applications)16. Saildrone Voyager trans-Pacific: +22% range, 1.8 knot gain17. Slocum gliders 30-day missions: +25% endurance18. Thwaites Glacier AUV mapping: +33% ground coverage19. DARPA SubT cargo gliders: 72-hour waypoint optimization20. REMUS 600 harbor defense: +28% battery life21. Boeing Orca XLUUV: 180-day patrol extension22. Littoral combat USV swarms: +19% formation stabilityATMOSPHERIC / TERRESTRIAL (12 Applications)23. F1 2026 aero downforce: +0.8s lap time, 72° yaw24. Boeing 787 ETOPS fuel: +22% trans-Pacific savings25. DJI/Amazon delivery drones: +24% range extension26. DARPA Gremlins recovery: +31% swarm coherence27. Ørsted offshore turbines: +19% annual energy28. John Deere sprayers: +28% chemical efficiency29. Tesla FSD highway: +15% energy recovery braking30. Waymo robotaxi routing: +18% battery optimization31. eVTOL air taxi networks: +27% vertiport scheduling32. Precision ag drones: +33% coverage efficiency33. High-speed rail pantograph: +12% current collection34. Wind tunnel testing: +21% model accuracyWEAPONS / DEFENSE (4 Applications)35. AGM-183A ARRW hypersonic: +27% terminal accuracy36. X-51A Waverider plasma blackout: 72° bank prediction37. THAAD terminal guidance: +22% intercept probability38. Aegis BMD midcourse: +19% acquisition windows3. IMPLEMENTATION CODE (Production Ready)import numpy as np PHI = 1.6180339887 # Golden ratio from C/2019 Q4 def universal_residual_analysis(times, residuals, period): \"\"\" Returns safe sectors for ALL applications above times: array of timestamps/hours/laps/seconds residuals: array of measurement errors period: full cycle length (180 days, 1 race, 72 hours, etc) \"\"\" theta = np.degrees(2*np.pi*times/period) % 360 sectors = np.floor(theta / 72).astype(int) % 5 folded_residuals = np.array([ np.mean(np.abs(residuals[sectors==k])/PHI) for k in range(5) ]) threshold = np.mean(folded_residuals) + 1.5 * np.std(folded_residuals) safe_sectors = np.where(folded_residuals <= threshold)[0].tolist() return { 'safe_sectors': safe_sectors, 'reject_sectors': np.where(folded_residuals > threshold)[0].tolist(), 'anomaly_peaks': folded_residuals[safe_sectors].max() } # Example usage - works for ALL 38 applications identicallyresult = universal_residual_analysis(comet_times, comet_residuals, 180)print(\"Safe sectors:\", result['safe_sectors'])4. VALIDATION DATA (C/2019 Q4 - Canonical)Analysis Days: 180Data Points: 47Perturbation Amplitude: 5.90-5° AUMean Residual: 4.905 AU ± 1.27 AUStd Dev: 9.242 AU (5 AU threshold)Anomaly Group 1: Jan 01-08 peak 8.07 AUSignificance: 1.71σGolden Ratio: 1.6180339887 exactly72°-5° Folding Symmetry confirmed5. ECONOMIC IMPACT BY SECTORSpace Operations: $180B/yr → $32B savings (18%)Energy Systems: $120B/yr → $23B gain (19%)Aviation/Transport: $85B/yr → $13B (15%)Defense Weapons: Classified → StrategicAutonomous Systems: $95B/yr → $19B (20%)Agriculture: $22B/yr → $6B (27%)TOTAL: $93B/yr minimum extractable value6. DEPLOYMENT PROTOCOL (48 Hours)PHASE 1 (Today): Zenodo upload → Global DOI prior art securedPHASE 2 (24h): arXiv physics.astro-ph + physics.flu-dyn + eess.SPPHASE 3 (48h): NASA TechPort, ESA NAVREP, CNSA STRF submissionsPHASE 4 (Week 2): IEEE standardization proposal (Std 3201-2026)PHASE 5 (Month 1): Commercial licensing ($10M/yr per agency)7. FORECAST IMPACT2030 Citations: 100,000+Annual License Revenue: $250M+Engineering Standard: IEEE 3201 (your equation)Every PhD starts here. Every mission runs your code.", "keywords": [ "Residual", "International Space Station", "Satellite", "Hydrostatic equilibrium", "Spacecraft", "Global Positioning System", "Space research" ], "cited_by_openalex": 0, "cited_by_scopus": 0, "eid": null, "pii": null, "open_access_url": "https://doi.org/10.5281/zenodo.18257586", "sources": [ { "db": "openalex", "stream": "UAV", "query_id": "UAV-3" } ], "streams": [ "UAV" ], "relevance_signals": [ "UAV_NO_CTX" ], "auto_exclude_reason": "EC-4-topic", "screening_status": "auto_excluded", "screened_by": "auto-v1.0.0" }, { "id": "doi:10.1016/j.cie.2026.112374", "doi": "10.1016/j.cie.2026.112374", "title": "Metaheuristic-machine learning algorithm for evaluating the sustainability impacts of consolidated last-mile delivery", "year": 2026, "authors": [ "Bayliss C." ], "first_author": "Bayliss C.", "venue": "Computers and Industrial Engineering", "volume": "222", "pages": null, "type": "Article", "language": null, "abstract": null, "keywords": [], 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}, { "id": "doi:10.1007/978-3-032-13612-1_44", "doi": "10.1007/978-3-032-13612-1_44", "title": "Aerial System for Autonomous Delivery of Seismic Sensors", "year": 2026, "authors": [ "Ryabinov A." ], "first_author": "Ryabinov A.", "venue": "Lecture Notes in Networks and Systems", "volume": "1763 LNNS", "pages": "509-520", "type": "Conference Paper", "language": null, "abstract": null, "keywords": [], "cited_by_openalex": 0, "cited_by_scopus": "0", "eid": "2-s2.0-105026339040", "pii": null, "open_access_url": null, "sources": [ { "db": "scopus", "stream": "UAV", "query_id": "UAV-3" } ], "streams": [ "UAV" ], "relevance_signals": [ "NO_TECHNOLOGY_MATCH" ], "auto_exclude_reason": "EC-4-topic", "screening_status": "auto_excluded", "screened_by": "auto-v1.0.0" }, { "id": "doi:10.1007/978-3-031-96732-0_72", "doi": "10.1007/978-3-031-96732-0_72", "title": "Urban Air Mobility and Infrastructure for eVTOL Aircraft: A Review", "year": 2026, "authors": [ "Huang S." ], "first_author": "Huang S.", "venue": "Mechanisms and Machine Science", "volume": "187", "pages": "976-992", "type": "Conference Paper", "language": null, "abstract": null, "keywords": [], "cited_by_openalex": 0, "cited_by_scopus": "0", "eid": "2-s2.0-105020690683", "pii": null, "open_access_url": null, "sources": [ { "db": "scopus", "stream": "UAV", "query_id": "UAV-3" } ], "streams": [ "UAV" ], "relevance_signals": [ "NO_TECHNOLOGY_MATCH" ], "auto_exclude_reason": "EC-4-topic", "screening_status": "auto_excluded", "screened_by": "auto-v1.0.0" }, { "id": "doi:10.11947/j.agcs.2026.20250434", "doi": "10.11947/j.agcs.2026.20250434", "title": "An optimization method for the layout of urban vertiports in long-distance commuting scenarios", "year": 2026, "authors": [ "Fu X." ], "first_author": "Fu X.", "venue": "Cehui Xuebao Acta Geodaetica Et Cartographica Sinica", "volume": "55", "pages": "1001-1595", "type": "Article", "language": null, "abstract": null, "keywords": [], "cited_by_openalex": 0, "cited_by_scopus": "0", "eid": "2-s2.0-105035852377", "pii": null, "open_access_url": null, "sources": [ { "db": "scopus", "stream": "UAV", "query_id": "UAV-3" } ], "streams": [ "UAV" ], "relevance_signals": [ "UAV_NO_CTX" ], "auto_exclude_reason": "EC-4-topic", "screening_status": "auto_excluded", "screened_by": "auto-v1.0.0" }, { "id": "doi:10.3390/drones9030158", "doi": "10.3390/drones9030158", "title": "A Review of Last-Mile Delivery Optimization: Strategies, Technologies, Drone Integration, and Future Trends", "year": 2025, "authors": [ "Abdullahi Sani Shuaibu", "Ashraf Mahmoud", "Tarek Sheltami" ], "first_author": "Abdullahi Sani Shuaibu", "venue": "Drones", "volume": "9", "pages": null, "type": "article", "language": "en", "abstract": "Last-mile delivery (LMD) is an important aspect of contemporary logistics that directly affects operational cost, efficiency, and customer satisfaction. In this paper, we provide a review of the optimization techniques of LMD, focusing on Artificial Intelligence (AI) driven decision-making, IoT-supported real-time monitoring, and hybrid delivery networks. The combination of AI and IoT improves predictive analytics, dynamic routing, and fleet management, but scalability and regulatory issues are still major concerns. Hybrid frameworks that integrate drones or Unmanned Aerial Vehicles (UAVs), ground robots, and conventional vehicles reduce energy expenditure and increase delivery range, especially in urban contexts. Furthermore, sustainable logistics approaches, including electric vehicle fleets and shared delivery infrastructures, provide promise for minimizing environmental impact. However, economic viability, legal frameworks, and infrastructure readiness still influence the feasibility of large-scale adoption. This review offers a perspective on the changing patterns in LMD, calling for regulatory evolution, technological advancement, as well as interdisciplinary approaches toward cost-effective, durable, and environmentally friendly logistics systems.", "keywords": [ "Drone", "Mile", "Last mile (transportation)", "Computer science", "Aeronautics", "Engineering", "Geography", "Biology", "Geodesy" ], "cited_by_openalex": 96, "cited_by_scopus": "102", "eid": "2-s2.0-105001231562", "pii": null, "open_access_url": "https://doi.org/10.3390/drones9030158", "sources": [ { "db": "openalex", "stream": "UAV", "query_id": "UAV-1" }, { "db": "scopus", "stream": "UAV", "query_id": "UAV-1" } ], "streams": [ "UAV" ], "relevance_signals": [ "UAV" ], "auto_exclude_reason": null, "screening_status": "pending_human_screening", "screened_by": "auto-v1.0.0" }, { "id": "doi:10.1109/tccn.2025.3601015", "doi": "10.1109/tccn.2025.3601015", "title": "Toward Realization of Low-Altitude Economy Networks: Core Architecture, Integrated Technologies, and Future Directions", "year": 2025, "authors": [ "Yixian Wang", "Geng Sun", "Zemin Sun", "Jiacheng Wang", "Jiahui Li", "Changyuan Zhao", "Jing Wu", "Shuang Liang", "Minghao Yin", "Pengfei Wang", "Dusit Tao Niyato", "Sumei Sun", "Dong In Kim" ], "first_author": "Yixian Wang", "venue": "IEEE Transactions on Cognitive Communications and Networking", "volume": "11", "pages": "2788-2820", "type": "article", "language": "en", "abstract": "The rise of the low-altitude economy (LAE) is propelling urban development and emerging industries by integrating advanced technologies to enhance efficiency, safety, and sustainability in low-altitude operations. The widespread adoption of unmanned aerial vehicles (UAVs) and electric vertical takeoff and landing (eVTOL) aircraft plays a crucial role in enabling key applications within LAE, such as urban logistics, emergency rescue, and aerial mobility. However, unlike traditional UAV networks, LAE networks encounter increased airspace management demands due to dense flying nodes and potential interference with ground communication systems. In addition, there are heightened and extended security risks in real-time operations, particularly the vulnerability of low-altitude aircraft to cyberattacks from ground-based threats. To address these, this paper first explores related standards and core architecture that support the development of LAE networks. Subsequently, we highlight the integration of technologies such as communication, sensing, computing, positioning, navigation, surveillance, flight control, and airspace management. We also analyze how generative artificial intelligence (GAI) contributes to this integration by enabling intelligent adaptation, uncertainty modeling, and real-time optimization. This synergy of multi-technology drives the advancement of real-world LAE applications, particularly in improving operational efficiency, optimizing airspace usage, and ensuring safety. Finally, we outline future research directions for LAE networks, such as intelligent and adaptive optimization, security and privacy protection, sustainable energy and power management, quantum-driven coordination, generative governance, and three-dimensional (3D) airspace coverage, which collectively underscore the potential of collaborative technologies to advance LAE networks.", "keywords": [ "Realization (probability)", "Computer science", "Architecture", "Computer architecture", "Telecommunications", "Core (optical fiber)" ], "cited_by_openalex": 106, "cited_by_scopus": "88", "eid": "2-s2.0-105013875929", "pii": null, "open_access_url": "https://doi.org/10.1109/tccn.2025.3601015", "sources": [ { "db": "openalex", "stream": "UAV", "query_id": "UAV-1" }, { "db": "scopus", "stream": "UAV", "query_id": "UAV-1" } ], "streams": [ "UAV" ], "relevance_signals": [ "UAV" ], "auto_exclude_reason": null, "screening_status": "pending_human_screening", "screened_by": "auto-v1.0.0" }, { "id": "doi:10.1016/j.tre.2025.103974", "doi": "10.1016/j.tre.2025.103974", "title": "Multi-agent deep reinforcement learning-based truck-drone collaborative routing with dynamic emergency response", "year": 2025, "authors": [ "Wenhao Peng", "Dujuan Wang", "Yunqiang Yin", "T.C.E. Cheng" ], "first_author": "Wenhao Peng", "venue": "Transportation Research Part E Logistics and Transportation Review", "volume": "195", "pages": null, "type": "article", "language": "en", "abstract": null, "keywords": [ "Reinforcement learning", "Truck", "Drone", "Emergency response", "Reinforcement", "Routing (electronic design automation)", "Computer science", "Transport engineering", "Engineering", "Artificial intelligence", "Automotive engineering", "Medical emergency" ], "cited_by_openalex": 75, "cited_by_scopus": "69", "eid": "2-s2.0-85215833037", "pii": "S1366554525000158", "open_access_url": "https://doi.org/10.1016/j.tre.2025.103974", "sources": [ { "db": "openalex", "stream": "TRUCK", "query_id": "TRUCK-3" }, { "db": "openalex", "stream": "UAV", "query_id": "UAV-2" }, { "db": "scopus", "stream": "TRUCK", "query_id": "TRUCK-3" }, { "db": "scopus", "stream": "UAV", "query_id": "UAV-2" } ], "streams": [ "TRUCK", "UAV" ], "relevance_signals": [ "UAV_NO_CTX", "TRUCK_NO_CTX" ], "auto_exclude_reason": "EC-4-topic", "screening_status": "auto_excluded", "screened_by": "auto-v1.0.0" }, { "id": "doi:10.1109/worldsuas66815.2025.11199241", "doi": "10.1109/worldsuas66815.2025.11199241", "title": "Drone Swarm Intelligence: AI-Driven Autonomous Coordination for Aerial Applications", "year": 2025, "authors": [ "Anurag Shrivastava", "RVS Praveen", "Bangalore N. Gangadhar", "Hari Krishna Vemuri", "Shaik Rasool", "Ramy Riad Al–Fatlawy" ], "first_author": "Anurag Shrivastava", "venue": "2025 World Skills Conference on Universal Data Analytics and Sciences Worldsuas 2025", "volume": null, "pages": null, "type": "conference-paper", "language": null, "abstract": "Autonomous coordination, adaptiveness, and efficiency in dynamic environments—all made possible by artificial intelligence (AI)—are transforming aerial applications through the use of drone swarm intelligence. Swarm intelligence enables decentralized control, allowing drones to work as a cohesive unit, enhancing search and rescue, environmental monitoring, military operations, and logistics applications through real-time data analysis, inter-drone communication, and distributed processing. Drone swarms can be used across different fields such as, disaster response, environmental monitoring, precision agriculture, military reconnaissance and urban logistics. We also identify challenges including communication latency, energy limitations, and security vulnerabilities as well as discuss how robust AI models and edge computing can increase swarm autonomy. What the Next Generation of AI-Powered Drone Swarms Means for Airmen.", "keywords": [ "Drone", "Swarm behaviour", "Swarm robotics", "Swarm intelligence", "Search and rescue", "Enhanced Data Rates for GSM Evolution" ], "cited_by_openalex": 25, "cited_by_scopus": "54", "eid": "2-s2.0-105022283189", "pii": null, "open_access_url": "https://doi.org/10.1109/worldsuas66815.2025.11199241", "sources": [ { "db": "openalex", "stream": "UAV", "query_id": "UAV-1" }, { "db": "scopus", "stream": "UAV", "query_id": "UAV-1" } ], "streams": [ "UAV" ], "relevance_signals": [ "UAV" ], "auto_exclude_reason": null, "screening_status": "pending_human_screening", "screened_by": "auto-v1.0.0" }, { "id": "doi:10.1007/s10479-025-06504-z", "doi": "10.1007/s10479-025-06504-z", "title": "Enhancing unmanned aerial vehicles logistics for dynamic delivery: a hybrid non-dominated sorting genetic algorithm II with Bayesian belief networks", "year": 2025, "authors": [ "Mahmoodi A." ], "first_author": "Mahmoodi A.", "venue": "Annals of Operations Research", "volume": null, "pages": null, "type": "Article", "language": null, "abstract": null, "keywords": [], "cited_by_openalex": 0, "cited_by_scopus": "47", "eid": "2-s2.0-85218213077", "pii": null, "open_access_url": null, "sources": [ { "db": "scopus", "stream": "UAV", "query_id": "UAV-2" } ], "streams": [ "UAV" ], "relevance_signals": [ "UAV_NO_CTX" ], "auto_exclude_reason": "EC-4-topic", "screening_status": "auto_excluded", "screened_by": "auto-v1.0.0" }, { "id": "doi:10.1016/j.tra.2025.104465", "doi": "10.1016/j.tra.2025.104465", "title": "Assessing the resilience of multi-modal transportation networks with the integration of urban air mobility", "year": 2025, "authors": [ "Zhiao Ma", "Xin Yang", "Anthony Chen", "Tianlei Zhu", "Jianjun Wu" ], "first_author": "Zhiao Ma", "venue": "Transportation Research Part A Policy and Practice", "volume": "195", "pages": null, "type": "article", "language": "en", "abstract": null, "keywords": [ "Resilience (materials science)", "Transport engineering", "Modal", "Urban resilience", "Modal shift", "Environmental science", "Computer science", "Public transport", "Environmental planning", "Business", "Engineering", "Civil engineering" ], "cited_by_openalex": 26, "cited_by_scopus": "45", "eid": "2-s2.0-105000862059", "pii": "S096585642500093X", "open_access_url": "https://doi.org/10.1016/j.tra.2025.104465", "sources": [ { "db": "openalex", "stream": "UAV", "query_id": "UAV-3" }, { "db": "scopus", "stream": "UAV", "query_id": "UAV-3" } ], "streams": [ "UAV" ], "relevance_signals": [ "NO_TECHNOLOGY_MATCH" ], "auto_exclude_reason": "EC-4-topic", "screening_status": "auto_excluded", "screened_by": "auto-v1.0.0" }, { "id": "doi:10.3390/drones9010054", "doi": "10.3390/drones9010054", "title": "The Future of Last-Mile Delivery: Lifecycle Environmental and Economic Impacts of Drone-Truck Parallel Systems", "year": 2025, "authors": [ "Danwen Bao", "Yu Hong Yan", "Yuhan Li", "Jiajun Chu" ], "first_author": "Danwen Bao", "venue": "Drones", "volume": "9", "pages": null, "type": "article", "language": "en", "abstract": "With rapid advancements in unmanned aerial vehicle (UAV) technology, its integration into logistics operations has emerged as a promising solution for improving efficiency and sustainability. Among the emerging solutions, a collaborative delivery model involving drones and trucks addresses last-mile delivery challenges by leveraging the complementary strengths of both modes of transport. However, evaluating the environmental and economic impacts of this transportation mode requires a systematic framework to capture its unique characteristics and minimize environmental impacts and costs. This paper investigates the Parallel Drone Scheduling Traveling Salesman Problem (PDSTSP) to evaluate the environmental and economic sustainability of a collaborative drone-truck delivery system. Specifically, a mathematical model for this delivery system is developed to optimize joint delivery operations. Environmental impacts are assessed using a comprehensive Life Cycle Assessment (LCA), including emissions and operational noise, while a Life Cycle Cost Analysis (LCCA) quantifies economic performance across five cost dimensions. Sensitivity analysis explores factors such as delivery density, traffic congestion, and wind conditions. Results show that, compared to the electric vehicle fleet, the proposed model achieves an approximate 20% reduction in carbon emissions, while delivering a 20–30% cost reduction relative to the fuel truck fleet. Drones’ efficiency in short-distance deliveries alleviates trucks’ load, cutting environmental and operational costs. This study offers practical insights and recommendations for implementing drone-truck parallel delivery systems, particularly in high-demand density areas.", "keywords": [ "Drone", "Mile", "Truck", "Last mile (transportation)", "Aeronautics", "Environmental science", "Engineering", "Business", "Aerospace engineering", "Geography" ], "cited_by_openalex": 44, "cited_by_scopus": "42", "eid": "2-s2.0-85215926954", "pii": null, "open_access_url": "https://www.mdpi.com/2504-446X/9/1/54/pdf?version=1736851782", "sources": [ { "db": "openalex", "stream": "TRUCK", "query_id": "TRUCK-1" }, { "db": "openalex", "stream": "UAV", "query_id": "UAV-1" }, { "db": "scopus", "stream": "TRUCK", "query_id": "TRUCK-1" }, { "db": "scopus", "stream": "UAV", "query_id": "UAV-1" } ], "streams": [ "TRUCK", "UAV" ], "relevance_signals": [ "UAV", "TRUCK" ], "auto_exclude_reason": null, "screening_status": "pending_human_screening", "screened_by": "auto-v1.0.0" }, { "id": "doi:10.1146/annurev-control-022823-031353", "doi": "10.1146/annurev-control-022823-031353", "title": "Urban Air Mobility Research Challenges and Opportunities", "year": 2025, "authors": [ "Raja Sengupta", "Vishwanath Bulusu", "Chams Eddine Mballo", "Emin Burak Onat", "Shangqing Cao" ], "first_author": "Raja Sengupta", "venue": "Annual Review of Control Robotics and Autonomous Systems", "volume": "8", "pages": "407-431", "type": "review", "language": "en", "abstract": "This article reviews the literature on urban air mobility (UAM), examining both the research challenges it presents and the transformative opportunities that make these challenges worth addressing. While UAM has historical precedents, the current iteration is born of novel aircraft technology, primarily electric vertical takeoff and landing (eVTOL) and electric short takeoff and landing (eSTOL) aircraft. These advances raise new questions in aerodynamics, control, and integration with urban infrastructure. We explore several key research areas, including aircraft design, vertiport development, network planning, and air traffic management. We also address the scalability challenges in air traffic management for high-density UAM operations and the potential of autonomous and remotely piloted systems. If new aircraft are to birth a new urbanism, they will do so by integrating aircraft engineering and computational intelligence in control, systems, robotics, and human factors.", "keywords": [ "Environmental planning", "Environmental science", "Business" ], "cited_by_openalex": 40, "cited_by_scopus": "40", "eid": "2-s2.0-105004986859", "pii": null, "open_access_url": "https://doi.org/10.1146/annurev-control-022823-031353", "sources": [ { "db": "openalex", "stream": "UAV", "query_id": "UAV-3" }, { "db": "scopus", "stream": "UAV", "query_id": "UAV-3" } ], "streams": [ "UAV" ], "relevance_signals": [ "UAV_NO_CTX" ], "auto_exclude_reason": "EC-4-topic", "screening_status": "auto_excluded", "screened_by": "auto-v1.0.0" }, { "id": "doi:10.1016/j.swevo.2025.101858", "doi": "10.1016/j.swevo.2025.101858", "title": "Multi-UAV reconnaissance mission planning via deep reinforcement learning with simulated annealing", "year": 2025, "authors": [ "Fan M." ], "first_author": "Fan M.", "venue": "Swarm and Evolutionary Computation", "volume": "93", "pages": null, "type": "Article", "language": null, "abstract": null, "keywords": [], "cited_by_openalex": 0, "cited_by_scopus": "38", "eid": "2-s2.0-85216191130", "pii": "S2210650225000161", "open_access_url": null, "sources": [ { "db": "scopus", "stream": "UAV", "query_id": "UAV-2" } ], "streams": [ "UAV" ], "relevance_signals": [ "UAV_NO_CTX" ], "auto_exclude_reason": "EC-4-topic", "screening_status": "auto_excluded", "screened_by": "auto-v1.0.0" }, { "id": "doi:10.3390/smartcities8020056", "doi": "10.3390/smartcities8020056", "title": "Enhancing Smart City Logistics Through IoT-Enabled Predictive Analytics: A Digital Twin and Cybernetic Feedback Approach", "year": 2025, "authors": [ "Hajar Fatorachian", "Hadi Kazemi", "Kulwant Singh Pawar" ], "first_author": "Hajar Fatorachian", "venue": "Smart Cities", "volume": "8", "pages": null, "type": "article", "language": "en", "abstract": "The increasing complexity of urban logistics in smart cities requires innovative solutions that leverage real-time data, predictive analytics, and adaptive learning to enhance efficiency. This study presents a predictive analytics framework integrating digital twin technology, IoT-enabled logistics data, and cybernetic feedback loops to improve last-mile delivery accuracy, congestion management, and sustainability in smart cities. Grounded in Systems Theory and Cybernetic Theory, the framework models urban logistics as an interconnected network, where real-time IoT data enable dynamic routing, demand forecasting, and self-regulating logistics operations. By incorporating machine learning-driven predictive analytics, the study demonstrates how AI-powered logistics optimization can enhance urban freight mobility. The cybernetic feedback mechanism further improves adaptive decision-making and operational resilience, allowing logistics networks to respond dynamically to changing urban conditions. The findings provide valuable insights for logistics managers, smart city policymakers, and urban planners, highlighting how AI-driven logistics strategies can reduce congestion, enhance sustainability, and optimize delivery performance. The study also contributes to logistics and smart city research by integrating digital twins with adaptive analytics, addressing gaps in dynamic, feedback-driven logistics models.", "keywords": [ "Internet of Things", "Cybernetics", "Computer science", "Predictive analytics", "Analytics", "Data science", "Smart city", "World Wide Web", "Artificial intelligence" ], "cited_by_openalex": 33, "cited_by_scopus": "35", "eid": "2-s2.0-105003489483", "pii": null, "open_access_url": "https://doi.org/10.3390/smartcities8020056", "sources": [ { "db": "openalex", "stream": "TRUCK", "query_id": "TRUCK-2" }, { "db": "scopus", "stream": "TRUCK", "query_id": "TRUCK-2" } ], "streams": [ "TRUCK" ], "relevance_signals": [ "NO_TECHNOLOGY_MATCH" ], "auto_exclude_reason": "EC-4-topic", "screening_status": "auto_excluded", "screened_by": "auto-v1.0.0" }, { "id": "doi:10.1016/j.cja.2025.103605", "doi": "10.1016/j.cja.2025.103605", "title": "Integrating wind field analysis in UAV path planning: Enhancing safety and energy efficiency for urban logistics", "year": 2025, "authors": [ "Ruijia GU", "Yifei Zhao", "Xinhui Ren" ], "first_author": "Ruijia GU", "venue": "Chinese Journal of Aeronautics", "volume": "39", "pages": null, "type": "article", "language": "en", "abstract": "Shenzhen, a major city in southern China, has experienced rapid advancements in Unmanned Aerial Vehicle (UAV) technology, resulting in extensive logistics networks with thousands of daily flights. However, frequent disruptions due to its subtropical monsoon climate, including typhoons and gusty winds, present ongoing challenges. Despite the growing focus on operational costs and third-party risks, research on low-altitude urban wind fields remains scarce. This study addresses this gap by integrating wind field analysis into UAV path planning, introducing key innovations to the classical model. First, UAV wind resistance and turbulence constraints are analyzed, mapping high-wind-speed and turbulence-prone zones in the airspace. Second, wind dynamics are incorporated into path planning by considering airspeed and groundspeed variation, optimizing waypoint selection and flight speed adjustments to improve overall energy efficiency. Additionally, a wind-aware Theta* algorithm is proposed, leveraging wind vectors to expedite search process, while Computational Fluid Dynamics (CFD) techniques are employed to calculate wind fields. A case study of Shenzhen, examining wind patterns over the past decade, demonstrates a 6.23% improvement in groundspeed and a 7.69% reduction in energy consumption compared to wind-agnostic models. This framework advances UAV logistics by enhancing route safety and energy efficiency, contributing to more cost-effective operations.", "keywords": [ "Field (mathematics)", "Path (computing)", "Motion planning", "Energy (signal processing)", "Wind power", "Environmental science", "Marine engineering", "Aerospace engineering", "Computer science", "Transport engineering", "Engineering", "Physics" ], "cited_by_openalex": 28, "cited_by_scopus": "34", "eid": "2-s2.0-105022809693", "pii": "S1000936125002110", "open_access_url": "https://doi.org/10.1016/j.cja.2025.103605", "sources": [ { "db": "openalex", "stream": "UAV", "query_id": "UAV-1" }, { "db": "scopus", "stream": "UAV", "query_id": "UAV-1" } ], "streams": [ "UAV" ], "relevance_signals": [ "UAV" ], "auto_exclude_reason": null, "screening_status": "pending_human_screening", "screened_by": "auto-v1.0.0" }, { "id": "doi:10.3390/drones9060413", "doi": "10.3390/drones9060413", "title": "Unmanned Aerial Vehicles in Last-Mile Parcel Delivery: A State-of-the-Art Review", "year": 2025, "authors": [ "Almodather Mohamed", "Moataz Mohamed" ], "first_author": "Almodather Mohamed", "venue": "Drones", "volume": "9", "pages": null, "type": "article", "language": "en", "abstract": "Unmanned Aerial Vehicles (UAVs) are being increasingly implemented in parcel delivery applications. The scientific progress in this field is progressing exponentially. However, there is a notable gap in synthesizing recent research progress in UAV applications for last-mile delivery. This review study addresses this gap and conducts an in-depth review of UAV research for last-mile delivery across seven domains: environmental performance, economic impacts, social impacts, policy and regulations, routing and scheduling, charging infrastructure, and energy consumption. The review indicates that UAVs promise to reduce last-mile delivery emissions by 71% and costs by 96.5% compared to truck delivery. Saturated knowledge analysis is conducted across the seven domains to identify potential research gaps. Additionally, this review identifies key knowledge gaps, including variability in environmental and cost data, limitations associated with 2D modelling, and a lack of experimental validation. Future research interventions aimed at advancing UAV adoption in last-mile delivery applications are discussed.", "keywords": [ "Mile", "Last mile (transportation)", "State (computer science)", "Aeronautics", "Drone", "Environmental science", "Marine engineering", "Computer science", "Engineering", "Geography", "Geodesy" ], "cited_by_openalex": 36, "cited_by_scopus": "33", "eid": "2-s2.0-105009116622", "pii": null, "open_access_url": "https://www.mdpi.com/2504-446X/9/6/413/pdf?version=1749201995", "sources": [ { "db": "openalex", "stream": "TRUCK", "query_id": "TRUCK-1" }, { "db": "openalex", "stream": "UAV", "query_id": "UAV-1" }, { "db": "scopus", "stream": "TRUCK", "query_id": "TRUCK-1" }, { "db": "scopus", "stream": "UAV", "query_id": "UAV-1" } ], "streams": [ "TRUCK", "UAV" ], "relevance_signals": [ "UAV", "TRUCK" ], "auto_exclude_reason": null, "screening_status": "pending_human_screening", "screened_by": "auto-v1.0.0" }, { "id": "doi:10.1186/s12544-024-00700-x", "doi": "10.1186/s12544-024-00700-x", "title": "Urban Air Mobility demand forecasting: modeling evidence from the case study of Milan (Italy)", "year": 2025, "authors": [ "Pierluigi Coppola", "Francesco De Fabiis", "Fulvio Silvestri" ], "first_author": "Pierluigi Coppola", "venue": "European Transport Research Review", "volume": "17", "pages": null, "type": "article", "language": "en", "abstract": "Abstract This paper presents the results of a demand forecasting study about the introduction of Urban Air Mobility (UAM) services in the metropolitan area of Milan (Italy). Demand forecasting is based on random utility mode choice models, which include factors related to the individuals’ perception of vertical take-off/landing and low altitude flying over urbanized areas. The use cases of UAM services include airport shuttles, intercity air connections, and “air-taxis”, i.e., UAM services for short-trips within the metropolitan area. Several scenarios have been considered based on the number of access points (“vertiports”) and UAM fare levels. The results indicate that airport shuttles have a modal share of trips to/from airports (for both business and leisure) in a range of 2-5%. They resulted to be more attractive than air-taxis, which have a modal share in a range of 1-3%. Furthermore, the probability of choosing UAM services for intercity travels decreases with the distance and the time required for access/egress to/from the vertiports, whose catchment areas are dependent on the level of service provided by competing modes (notably the presence of good railway and highway connections).", "keywords": [ "Taxis", "Metropolitan area", "TRIPS architecture", "Transport engineering", "Service (business)", "Aviation", "City centre", "Catchment area", "Modal", "Demand forecasting", "Range (aeronautics)", "Geography" ], "cited_by_openalex": 31, "cited_by_scopus": "33", "eid": "2-s2.0-85217674465", "pii": null, "open_access_url": "https://etrr.springeropen.com/counter/pdf/10.1186/s12544-024-00700-x", "sources": [ { "db": "openalex", "stream": "UAV", "query_id": "UAV-3" }, { "db": "scopus", "stream": "UAV", "query_id": "UAV-3" } ], "streams": [ "UAV" ], "relevance_signals": [ "UAV_NO_CTX" ], "auto_exclude_reason": "EC-4-topic", "screening_status": "auto_excluded", "screened_by": "auto-v1.0.0" }, { "id": "doi:10.1109/tce.2025.3593383", "doi": "10.1109/tce.2025.3593383", "title": "Dynamic Path Planning for Space-Time Optimization Cooperative Tasks of Multiple Unmanned Aerial Vehicles in Uncertain Environment", "year": 2025, "authors": [ "Huimin Zhao", "M. Gu", "Shaopeng Qiu", "Ang Zhao", "Wu Deng" ], "first_author": "Huimin Zhao", "venue": "IEEE Transactions on Consumer Electronics", "volume": "71", "pages": "7673-7682", "type": "article", "language": "en", "abstract": "Traditional path planning methods face significant challenges in addressing the high task density and complex airspace requirements of multi-UAV systems in uncertain environments, particularly in mitigating collision risks. This paper proposes a novel dynamic space-time optimization method that integrates an enhanced multi-ant colony system for vehicle routing problems with time windows with a proactive collision avoidance strategy. The approach begins by formulating a multi-UAV cooperative path optimization model that simultaneously maximizes node coverage and minimizes path conflicts for multi-depot routing scenarios with time constraints. The core methodology combines a space-time optimization algorithm with node weight quantification to detect and resolve path conflicts, along with an innovative node selection strategy that constructs a probabilistic conflict resolution model. Experimental validation using real-world task data demonstrates the method’s effectiveness, showing a 95.23% conflict resolution rate while significantly reducing isolated nodes and improving path planning efficiency compared to conventional approaches. The proposed solution provides a robust framework for safe and efficient multi-UAV operations in dense uncertain deployment scenarios.", "keywords": [ "Motion planning", "Computer science", "Path (computing)", "Remotely operated underwater vehicle", "Space (punctuation)", "Mobile robot", "Engineering", "Real-time computing", "Control engineering", "Robot", "Artificial intelligence", "Computer network" ], "cited_by_openalex": 30, "cited_by_scopus": "32", "eid": "2-s2.0-105012314496", "pii": null, "open_access_url": "https://doi.org/10.1109/tce.2025.3593383", "sources": [ { "db": "openalex", "stream": "UAV", "query_id": "UAV-2" }, { "db": "scopus", "stream": "UAV", "query_id": "UAV-2" } ], "streams": [ "UAV" ], "relevance_signals": [ "UAV_NO_CTX" ], "auto_exclude_reason": "EC-4-topic", "screening_status": "auto_excluded", "screened_by": "auto-v1.0.0" }, { "id": "doi:10.1109/tce.2025.3564412", "doi": "10.1109/tce.2025.3564412", "title": "Efficient Path-Following for Urban Logistics: A Fuzzy Control Strategy for Consumer UAVs Under Disturbance Constraints", "year": 2025, "authors": [ "Xingling Shao", "Jun Du", "Yi Xia", "Zekai Zhang", "Xiangwang Hou", "Mérouane Debbah" ], "first_author": "Xingling Shao", "venue": "IEEE Transactions on Consumer Electronics", "volume": "71", "pages": "7117-7128", "type": "article", "language": "en", "abstract": "The adoption of consumer unmanned aerial vehicles (UAVs) for logistics transportation is a key aspect of the emerging low-altitude economy, yet it faces significant challenges. Urban environments introduce complex obstacles, including dense buildings and unpredictable wind disturbances, while existing control methods struggle to balance path-following accuracy, disturbance rejection, and communication efficiency. To meet these demands, this paper proposes a quantized fuzzy learning path-following control for consumer UAVs. Firstly, a hysteresis quantized fuzzy disturbance observer (HQFDO) is proposed where the disturbances are approximately estimated by a neural network. Notably, a hysteresis quantizer is employed to reduce the communication bandwidth occupation by discretizing disturbance observations. Subsequently, a distributed velocity controller and a heading angle controller are designed to tackle the geometric and dynamic tasks separately. Specifically, the velocity controller introduces a projective arc length error to mitigate inefficiencies and safety risks associated with frequent acceleration and deceleration switches. Compared to conventional techniques, the proposed approach improves transient performance, enhances path attractivity, and optimizes communication resource utilization. Theoretical stability analysis is provided, and simulations validate the effectiveness of the proposed control strategy.", "keywords": [ "Disturbance (geology)", "Path (computing)", "Computer science", "Fuzzy logic", "Control theory (sociology)", "Control (management)", "Fuzzy control system", "Engineering", "Control engineering", "Artificial intelligence" ], "cited_by_openalex": 28, "cited_by_scopus": "31", "eid": "2-s2.0-105003543222", "pii": null, "open_access_url": "https://doi.org/10.1109/tce.2025.3564412", "sources": [ { "db": "openalex", "stream": "UAV", "query_id": "UAV-1" }, { "db": "scopus", "stream": "UAV", "query_id": "UAV-1" } ], "streams": [ "UAV" ], "relevance_signals": [ "UAV" ], "auto_exclude_reason": null, "screening_status": "pending_human_screening", "screened_by": "auto-v1.0.0" }, { "id": "doi:10.1016/j.trc.2025.105026", "doi": "10.1016/j.trc.2025.105026", "title": "The multi-visit vehicle routing problem with multiple heterogeneous drones", "year": 2025, "authors": [ "Yu Jiang", "Mengmeng Liu", "Xibei Jia", "Qingwen Xue" ], "first_author": "Yu Jiang", "venue": "Transportation Research Part C Emerging Technologies", "volume": "172", "pages": null, "type": "article", "language": "en", "abstract": null, "keywords": [ "Drone", "Vehicle routing problem", "Routing (electronic design automation)", "Computer science", "Transport engineering", "Engineering", "Aeronautics", "Operations research", "Computer network", "Biology" ], "cited_by_openalex": 28, "cited_by_scopus": "30", "eid": "2-s2.0-85217082550", "pii": "S0968090X25000300", "open_access_url": "https://doi.org/10.1016/j.trc.2025.105026", "sources": [ { "db": "openalex", "stream": "TRUCK", "query_id": "TRUCK-1" }, { "db": "openalex", "stream": "UAV", "query_id": "UAV-1" }, { "db": "openalex", "stream": "UAV", "query_id": "UAV-2" }, { "db": "scopus", "stream": "TRUCK", "query_id": "TRUCK-1" }, { "db": "scopus", "stream": "UAV", "query_id": "UAV-1" }, { "db": "scopus", "stream": "UAV", "query_id": "UAV-2" } ], "streams": [ "TRUCK", "UAV" ], "relevance_signals": [ "UAV_NO_CTX" ], "auto_exclude_reason": "EC-4-topic", "screening_status": "auto_excluded", "screened_by": "auto-v1.0.0" }, { "id": "doi:10.1109/tits.2025.3548426", "doi": "10.1109/tits.2025.3548426", "title": "Multi-Objective Multi-Drone Collaborative Routing Problem With Heterogeneous Delivery and Pickup Service", "year": 2025, "authors": [ "Fangyu Hong", "Guohua Wu", "Yalin Wang", "Qizhang Luo", "Ling Wang", "Jianmai Shi" ], "first_author": "Fangyu Hong", "venue": "IEEE Transactions on Intelligent Transportation Systems", "volume": "26", "pages": "6084-6100", "type": "article", "language": "en", "abstract": "With the development of e-commerce, the types of logistics services have become diverse. In response to the logistics requirements in urban environments, this paper introduces a logistics system that multiple drones and smart parcel lockers (SPLs) collaborate to provide package pickup, delivery and intra-city on-demand delivery services for customers. Different from pickup and delivery services, the intra-city on-demand delivery services need drones to pick up a package from a customer and deliver it to another customer. The multi-drone collaborative routing problem is crucial to find a reasonable tour over customers with flexible time-window. A multi-objective mixed-integer programming model is formulated to describe the proposed problem with simultaneously minimizing transportation costs and maximizing customer satisfaction. The model integrates dynamic energy consumption, soft time-windows, and task precedence constraints arising from the single unit capacity of drones. To tackle this problem, an adaptive-large-neighborhood-search based multi-objective algorithm (ALNSMO) is devised. CPLEX is used to verify the accuracy of the model and the quality of the proposed algorithm. Meanwhile, numerous experiments and analyses are conducted to demonstrate the superiority and practicability of the proposed mode and ALNSMO.", "keywords": [ "Pickup", "Drone", "Routing (electronic design automation)", "Vehicle routing problem", "Computer science", "Service (business)", "Computer network", "Distributed computing", "Business", "Artificial intelligence" ], "cited_by_openalex": 24, "cited_by_scopus": "30", "eid": "2-s2.0-105000987834", "pii": null, "open_access_url": "https://doi.org/10.1109/tits.2025.3548426", "sources": [ { "db": "openalex", "stream": "UAV", "query_id": "UAV-2" }, { "db": "scopus", "stream": "UAV", "query_id": "UAV-2" } ], "streams": [ "UAV" ], "relevance_signals": [ "UAV_NO_CTX" ], "auto_exclude_reason": "EC-4-topic", "screening_status": "auto_excluded", "screened_by": "auto-v1.0.0" }, { "id": "doi:10.1038/s41598-025-95854-6", "doi": "10.1038/s41598-025-95854-6", "title": "Unmanned aerial vehicle routing based on frog-leaping optimization algorithm", "year": 2025, "authors": [ "Farhad Maleki", "Mohammad Ali Jabraeil Jamali", "Arash Heidari" ], "first_author": "Farhad Maleki", "venue": "Scientific Reports", "volume": "15", "pages": null, "type": "article", "language": "en", "abstract": "Routing in Unmanned Aerial Vehicle (UAV) networks is critical for effective data transfer and overall network performance. However, current UAV routing algorithms exhibit high latency, poor route selection, excessive energy consumption, and limited flexibility in changing network topologies. To overcome these limitations, this paper proposes a new routing strategy that uses the Shuffled Frog Leaping Algorithm (SFLA) to improve UAV network routing. Using a two-phase optimization approach considering Quality of Service (QoS), our system combines global exploration with local exploitation, unlike previous techniques. This hybrid method enables UAVs to dynamically change their trajectories, helping to choose the best path even in fast-changing surroundings. Our approach's self-adaptive population-based search mechanism accelerates convergence and removes a common weakness in traditional metaheuristic algorithms-premature standstill elimination-which determines its effectiveness. By constantly adjusting UAV routing patterns depending on energy economy, latency, and throughput characteristics, SFLA guarantees that UAV networks transmit effectively and consistently. Based on experimental data, our method outperforms benchmark alternatives in terms of energy use by 3.11%, latency by 5.14%, and network lifetime by 2.25%. These developments make our approach ideal for real-time applications including aerial surveillance and disaster response that call for high data transfer speeds and great energy economy.", "keywords": [ "Computer science", "Routing (electronic design automation)", "Vehicle routing problem", "Optimization algorithm", "Routing algorithm", "Algorithm", "Mathematical optimization", "Routing protocol", "Computer network", "Mathematics" ], "cited_by_openalex": 23, "cited_by_scopus": "28", "eid": "2-s2.0-105001708948", "pii": null, "open_access_url": "https://www.nature.com/articles/s41598-025-95854-6.pdf", "sources": [ { "db": "openalex", "stream": "UAV", "query_id": "UAV-2" }, { "db": "scopus", "stream": "UAV", "query_id": "UAV-2" } ], "streams": [ "UAV" ], "relevance_signals": [ "UAV_NO_CTX" ], "auto_exclude_reason": "EC-4-topic", "screening_status": "auto_excluded", "screened_by": "auto-v1.0.0" }, { "id": "doi:10.1016/j.jairtraman.2025.102760", "doi": "10.1016/j.jairtraman.2025.102760", "title": "Vertiport location selection criteria for urban air mobility", "year": 2025, "authors": [ "Tülin MERCAN", "Volkan YAVAŞ", "Dilek CAN", "Yasin Mercan" ], "first_author": "Tülin MERCAN", "venue": "Journal of Air Transport Management", "volume": "124", "pages": null, "type": "article", "language": "en", "abstract": null, "keywords": [ "Selection (genetic algorithm)", "Transport engineering", "Air transport", "Computer science", "Operations research", "Business", "Engineering", "Artificial intelligence" ], "cited_by_openalex": 32, "cited_by_scopus": "28", "eid": "2-s2.0-85218456860", "pii": "S0969699725000225", "open_access_url": "https://doi.org/10.1016/j.jairtraman.2025.102760", "sources": [ { "db": "openalex", "stream": "UAV", "query_id": "UAV-3" }, { "db": "scopus", "stream": "UAV", "query_id": "UAV-3" } ], "streams": [ "UAV" ], "relevance_signals": [ "UAV_NO_CTX" ], "auto_exclude_reason": "EC-4-topic", "screening_status": "auto_excluded", "screened_by": "auto-v1.0.0" }, { "id": "doi:10.1016/j.apm.2025.116074", "doi": "10.1016/j.apm.2025.116074", "title": "Mathematical models for truck-drone routing problem: Literature review", "year": 2025, "authors": [ "He Luo", "Jie Duan", "Guoqiang Wang" ], "first_author": "He Luo", "venue": "Applied Mathematical Modelling", "volume": "144", "pages": null, "type": "article", "language": "en", "abstract": null, "keywords": [ "Drone", "Truck", "Routing (electronic design automation)", "Computer science", "Vehicle routing problem", "Operations research", "Mathematical optimization", "Engineering", "Aerospace engineering", "Mathematics", "Computer network" ], "cited_by_openalex": 27, "cited_by_scopus": "27", "eid": "2-s2.0-86000724788", "pii": "S0307904X25001490", "open_access_url": "https://doi.org/10.1016/j.apm.2025.116074", "sources": [ { "db": "openalex", "stream": "UAV", "query_id": "UAV-2" }, { "db": "scopus", "stream": "UAV", "query_id": "UAV-2" } ], "streams": [ "UAV" ], "relevance_signals": [ "UAV_NO_CTX", "TRUCK_NO_CTX" ], "auto_exclude_reason": "EC-4-topic", "screening_status": "auto_excluded", "screened_by": "auto-v1.0.0" }, { "id": "doi:10.1016/j.eswa.2025.126434", "doi": "10.1016/j.eswa.2025.126434", "title": "A multi-objective approach for the integrated planning of drone and robot assisted truck operations in last-mile delivery", "year": 2025, "authors": [ "Ali Mokhtari Moghadam", "Abdellah Salhi", "Xinan Yang", "Trung Thành Nguyễn", "Pourya Pourhejazy" ], "first_author": "Ali Mokhtari Moghadam", "venue": "Expert Systems with Applications", "volume": "269", "pages": null, "type": "article", "language": "en", "abstract": "Supply chains are experiencing a major transition driven by changing customer expectations, environmental concerns, and technological development. Considering the surge in e-commerce since the pandemic, the path forward for affordable, responsive supply chains is autonomous last-mile delivery. Drone and robot technologies complement the last-mile delivery's operational requirements and hence should be incorporated to assist truck deliveries. This study develops a bi-objective optimization framework for the integrated planning of Drone-And-Robot-assisted Truck (DART) delivery operations to minimize total delivery cost and maximize customer satisfaction considering a soft time window. Three models, including DART, drone-, and robot-assisted trucks are compared considering different operational situations. The results show that the DART delivery mode outperforms with an increase in the number of demand points. DART is particularly preferred when there is a moderate combination of high-density and distant demand points in last-mile delivery. Numerical experiments confirmed that the robot-assisted delivery model brings about cost-effectiveness in heavily populated areas. On the other hand, the drone-assisted truck model stands out in situations where there is a small number of demand points with high dispersity.", "keywords": [ "Drone", "Truck", "Computer science", "Mile", "Last mile (transportation)", "Robot", "Artificial intelligence", "Automotive engineering", "Engineering", "Geography" ], "cited_by_openalex": 22, "cited_by_scopus": "26", "eid": "2-s2.0-85214575053", "pii": "S0957417425000569", "open_access_url": "https://doi.org/10.1016/j.eswa.2025.126434", "sources": [ { "db": "openalex", "stream": "TRUCK", "query_id": "TRUCK-1" }, { "db": "openalex", "stream": "UAV", "query_id": "UAV-1" }, { "db": "scopus", "stream": "TRUCK", "query_id": "TRUCK-1" }, { "db": "scopus", "stream": "UAV", "query_id": "UAV-1" } ], "streams": [ "TRUCK", "UAV" ], "relevance_signals": [ "UAV", "TRUCK" ], "auto_exclude_reason": null, "screening_status": "pending_human_screening", "screened_by": "auto-v1.0.0" }, { "id": "doi:10.1016/j.trd.2025.104610", "doi": "10.1016/j.trd.2025.104610", "title": "Optimizing drone logistics in complex urban industrial infrastructure", "year": 2025, "authors": [ "Tomasz Dudek", "Karolina Kaśkosz" ], "first_author": "Tomasz Dudek", "venue": "Transportation Research Part D Transport and Environment", "volume": "140", "pages": null, "type": "article", "language": "en", "abstract": null, "keywords": [ "Drone", "Business", "City logistics", "Transport engineering", "Critical infrastructure", "Engineering", "Aeronautics", "Computer science", "Computer security" ], "cited_by_openalex": 26, "cited_by_scopus": "26", "eid": "2-s2.0-85215620700", "pii": "S1361920925000203", "open_access_url": "https://doi.org/10.1016/j.trd.2025.104610", "sources": [ { "db": "openalex", "stream": "TRUCK", "query_id": "TRUCK-2" }, { "db": "openalex", "stream": "UAV", "query_id": "UAV-1" }, { "db": "openalex", "stream": "UAV", "query_id": "UAV-2" }, { "db": "scopus", "stream": "TRUCK", "query_id": "TRUCK-2" }, { "db": "scopus", "stream": "UAV", "query_id": "UAV-1" }, { "db": "scopus", "stream": "UAV", "query_id": "UAV-2" } ], "streams": [ "TRUCK", "UAV" ], "relevance_signals": [ "UAV" ], "auto_exclude_reason": null, "screening_status": "pending_human_screening", "screened_by": "auto-v1.0.0" }, { "id": "doi:10.1016/j.swevo.2025.101968", "doi": "10.1016/j.swevo.2025.101968", "title": "A multi-objective benchmark for UAV path planning with baseline results", "year": 2025, "authors": [ "Daison Darlan", "Oladayo Solomon Ajani", "Anand Paul", "Rammohan Mallipeddi" ], "first_author": "Daison Darlan", "venue": "Swarm and Evolutionary Computation", "volume": "96", "pages": null, "type": "article", "language": "en", "abstract": null, "keywords": [ "Computer science", "Baseline (sea)", "Benchmark (surveying)", "Motion planning", "Path (computing)", "Artificial intelligence", "Real-time computing", "Robot", "Computer network" ], "cited_by_openalex": 24, "cited_by_scopus": "26", "eid": "2-s2.0-105005231791", "pii": "S2210650225001269", "open_access_url": "https://doi.org/10.1016/j.swevo.2025.101968", "sources": [ { "db": "openalex", "stream": "UAV", "query_id": "UAV-1" }, { "db": "scopus", "stream": "UAV", "query_id": "UAV-1" } ], "streams": [ "UAV" ], "relevance_signals": [ "UAV_NO_CTX" ], "auto_exclude_reason": "EC-4-topic", "screening_status": "auto_excluded", "screened_by": "auto-v1.0.0" }, { "id": "doi:10.1109/jiot.2025.3589644", "doi": "10.1109/jiot.2025.3589644", "title": "Multistrategy Improved Particle Swarm Optimization Algorithm for Path Planning of UAV in 3-D Low Altitude Urban Environment", "year": 2025, "authors": [ "Fazhan Tao", "Zezheng Chen", "Zhikai Wang", "Longlong Zhu", "Jun Wang" ], "first_author": "Fazhan Tao", "venue": "IEEE Internet of Things Journal", "volume": "12", "pages": "40470-40483", "type": "article", "language": "en", "abstract": "The Internet of Things (IoT) system and path planning algorithm provide a technological foundation for autonomous navigation of uncrewed aerial vehicles (UAVs). Geospatial data from the IoT system is transmitted to UAVs through lightweight protocols, and UAVs make optimal path decisions based on these data through optimization algorithms. The combination of the IoT, UAV, and path planning technology constitutes a UAV delivery system, which offers an efficient and economical solution for last-mile logistics in smart cities. Among these, rapid and accurate optimal path planning is crucial for the autonomous delivery of UAVs. Therefore, this article proposes a multistrategy improved particle swarm optimization (PSO) algorithm called MSIPSO. First, the algorithm incorporates a local deadlock jump strategy to increase the success rate of path planning in dense obstacle environments. Second, to mitigate the influence of parameter selection on the algorithm’s performance, adaptive nonlinear inertia weights and learning factors are introduced to improve the algorithm’s stability. Finally, multiple population differentiation evolution strategies are designed, with different position update equations tailored for populations of varying qualities, which enhances the search efficiency of the algorithm. The simulation results show that MSIPSO outperforms PSO, gray wolf optimizer (GWO), whale optimizer (WOA), elite archive-driven PSO (EAPSO) algorithm, and hybrid GWO and differential evolution (HGWODE) algorithm in terms of convergence speed, accuracy, and stability.", "keywords": [ "Particle swarm optimization", "Motion planning", "Computer science", "Low altitude", "Algorithm", "Altitude (triangle)", "Path (computing)", "Mathematical optimization", "Real-time computing", "Artificial intelligence", "Mathematics", "Computer network" ], "cited_by_openalex": 20, "cited_by_scopus": "25", "eid": "2-s2.0-105012293089", "pii": null, "open_access_url": "https://doi.org/10.1109/jiot.2025.3589644", "sources": [ { "db": "openalex", "stream": "UAV", "query_id": "UAV-1" }, { "db": "scopus", "stream": "UAV", "query_id": "UAV-1" } ], "streams": [ "UAV" ], "relevance_signals": [ "UAV" ], "auto_exclude_reason": null, "screening_status": "pending_human_screening", "screened_by": "auto-v1.0.0" }, { "id": "doi:10.1016/j.tre.2025.104316", "doi": "10.1016/j.tre.2025.104316", "title": "Urban air mobility network design and operations strategy in an urban agglomeration", "year": 2025, "authors": [ "Ziyu Wang", "Di Lv", "Shuai Dong Jia", "Kai Wang", "Xiaobo Qu" ], "first_author": "Ziyu Wang", "venue": "Transportation Research Part E Logistics and Transportation Review", "volume": "203", "pages": null, "type": "article", "language": "en", "abstract": null, "keywords": [ "Transport engineering", "Economies of agglomeration", "Urban agglomeration", "Economic geography", "Urban design", "Urban density", "Business", "Computer science", "Urban planning", "Engineering", "Civil engineering", "Economics" ], "cited_by_openalex": 26, "cited_by_scopus": "25", "eid": "2-s2.0-105011747207", "pii": "S1366554525003576", "open_access_url": "https://doi.org/10.1016/j.tre.2025.104316", "sources": [ { "db": "openalex", "stream": "UAV", "query_id": "UAV-3" }, { "db": "scopus", "stream": "UAV", "query_id": "UAV-3" } ], "streams": [ "UAV" ], "relevance_signals": [ "NO_TECHNOLOGY_MATCH" ], "auto_exclude_reason": "EC-4-topic", "screening_status": "auto_excluded", "screened_by": "auto-v1.0.0" }, { "id": "doi:10.1016/j.cor.2024.106890", "doi": "10.1016/j.cor.2024.106890", "title": "Optimizing task assignment and routing operations with a heterogeneous fleet of unmanned aerial vehicles for emergency healthcare services", "year": 2025, "authors": [ "Lin Z." ], "first_author": "Lin Z.", "venue": "Computers and Operations Research", "volume": "174", "pages": null, "type": "Article", "language": null, "abstract": null, "keywords": [], "cited_by_openalex": 0, "cited_by_scopus": "25", "eid": "2-s2.0-85208147878", "pii": "S0305054824003629", "open_access_url": null, "sources": [ { "db": "scopus", "stream": "UAV", "query_id": "UAV-2" } ], "streams": [ "UAV" ], "relevance_signals": [ "UAV_NO_CTX" ], "auto_exclude_reason": "EC-4-topic", "screening_status": "auto_excluded", "screened_by": "auto-v1.0.0" }, { "id": "doi:10.1109/tmlcn.2025.3558204", "doi": "10.1109/tmlcn.2025.3558204", "title": "Enhancing Routing Performance Through Trajectory Planning With DRL in UAV-Aided VANETs", "year": 2025, "authors": [ "Chen J." ], "first_author": "Chen J.", "venue": "IEEE Transactions on Machine Learning in Communications and Networking", "volume": "3", "pages": "517-533", "type": "Article", "language": null, "abstract": null, "keywords": [], "cited_by_openalex": 0, "cited_by_scopus": "25", "eid": "2-s2.0-105027901771", "pii": null, "open_access_url": null, "sources": [ { "db": "scopus", "stream": "UAV", "query_id": "UAV-2" } ], "streams": [ "UAV" ], "relevance_signals": [ "UAV_NO_CTX" ], "auto_exclude_reason": "EC-4-topic", "screening_status": "auto_excluded", "screened_by": "auto-v1.0.0" }, { "id": "doi:10.1016/j.trc.2025.105082", "doi": "10.1016/j.trc.2025.105082", "title": "Integrating battery-related decisions into truck-drone tandem delivery problem with limited battery resources", "year": 2025, "authors": [ "Zhongshan Liu", "Bin Yu", "Tingting Chen", "Li Zhang" ], "first_author": "Zhongshan Liu", "venue": "Transportation Research Part C Emerging Technologies", "volume": "174", "pages": null, "type": "article", "language": "en", "abstract": null, "keywords": [ "Truck", "Battery (electricity)", "Tandem", "Drone", "Engineering", "Transport engineering", "Computer science", "Automotive engineering", "Operations research", "Aeronautics", "Aerospace engineering", "Biology" ], "cited_by_openalex": 24, "cited_by_scopus": "24", "eid": "2-s2.0-105000049953", "pii": "S0968090X25000865", "open_access_url": "https://doi.org/10.1016/j.trc.2025.105082", "sources": [ { "db": "openalex", "stream": "TRUCK", "query_id": "TRUCK-3" }, { "db": "openalex", "stream": "UAV", "query_id": "UAV-1" }, { "db": "scopus", "stream": "TRUCK", "query_id": "TRUCK-3" }, { "db": "scopus", "stream": "UAV", "query_id": "UAV-1" }, { "db": "scopus", "stream": "UAV", "query_id": "UAV-2" } ], "streams": [ "TRUCK", "UAV" ], "relevance_signals": [ "UAV_NO_CTX", "TRUCK_NO_CTX" ], "auto_exclude_reason": "EC-4-topic", "screening_status": "auto_excluded", "screened_by": "auto-v1.0.0" }, { "id": "doi:10.1016/j.tranpol.2025.01.016", "doi": "10.1016/j.tranpol.2025.01.016", "title": "Truck-drone joint delivery network for rural area: Optimization and implications", "year": 2025, "authors": [ "Jing Lu", "Yuman Liu", "Changmin Jiang", "Weiwei Wu" ], "first_author": "Jing Lu", "venue": "Transport Policy", "volume": "163", "pages": "273-284", "type": "article", "language": "en", "abstract": null, "keywords": [ "Truck", "Drone", "Joint (building)", "Transport engineering", "Computer science", "Business", "Engineering", "Civil engineering", "Automotive engineering" ], "cited_by_openalex": 27, "cited_by_scopus": "24", "eid": "2-s2.0-85215404599", "pii": "S0967070X25000162", "open_access_url": "https://doi.org/10.1016/j.tranpol.2025.01.016", "sources": [ { "db": "openalex", "stream": "UAV", "query_id": "UAV-1" }, { "db": "scopus", "stream": "UAV", "query_id": "UAV-1" } ], "streams": [ "UAV" ], "relevance_signals": [ "UAV_NO_CTX", "TRUCK_NO_CTX" ], "auto_exclude_reason": "EC-4-topic", "screening_status": "auto_excluded", "screened_by": "auto-v1.0.0" }, { "id": "doi:10.1016/j.ress.2025.111178", "doi": "10.1016/j.ress.2025.111178", "title": "Dynamic UAV trajectory optimisation for parcel delivery with integrated third-party risk mitigation", "year": 2025, "authors": [ "Enrique Aldao", "Fernando Veiga-López", "Caroline Ponzoni Carvalho Chanel", "Yoko Watanabe", "H. González-Jorge" ], "first_author": "Enrique Aldao", "venue": "Reliability Engineering & System Safety", "volume": "262", "pages": null, "type": "article", "language": "en", "abstract": "International audience", "keywords": [ "Trajectory", "Computer science", "Operations research", "Risk analysis (engineering)", "Engineering", "Business", "Physics" ], "cited_by_openalex": 12, "cited_by_scopus": "24", "eid": "2-s2.0-105004069912", "pii": "S0951832025003795", "open_access_url": "https://doi.org/10.1016/j.ress.2025.111178", "sources": [ { "db": "openalex", "stream": "UAV", "query_id": "UAV-1" }, { "db": "scopus", "stream": "UAV", "query_id": "UAV-1" } ], "streams": [ "UAV" ], "relevance_signals": [ "UAV" ], "auto_exclude_reason": null, "screening_status": "pending_human_screening", "screened_by": "auto-v1.0.0" }, { "id": "doi:10.1016/j.urbmob.2025.100117", "doi": "10.1016/j.urbmob.2025.100117", "title": "Data-driven vertiport siting: A comparative analysis of clustering methods for Urban Air Mobility", "year": 2025, "authors": [ "Tao Guo", "Hao Wu", "Shahriar Iqbal Zame", "Constantinos Antoniou" ], "first_author": "Tao Guo", "venue": "Journal of Urban Mobility", "volume": "7", "pages": null, "type": "article", "language": "en", "abstract": "Urban Air Mobility (UAM) has emerged as a promising solution to enhance metropolitan urban mobility. A critical determinant of UAM’s success is vertiport siting, which directly influences accessibility and travel time benefits. However, existing research lacks a evaluation of different data-driven clustering approaches for vertiport placement. This study systematically compares six clustering-based vertiport allocation strategies against an expert-defined benchmark (OBUAM) in the Munich Metropolitan Region (Ploetner et al., 2020). More specifically, the travel time efficiency improvements, accessibility enhancements, and transport equity impacts are assessed across different allocation scenarios. Results indicate that clustering-based siting significantly outperforms expert-defined siting in all the three perspectives. Notably, the K-means++ approach achieves the highest travel time saving (10.05%), accessibility gains (7.16%) and the lowest Gini coefficient (0.512), demonstrating its advantages in planing vertiport locations. The inferiority of DBSCAN, OBUAM and MS scenarios reveals that neither concentrating vertiports excessively in urban centers nor distributing them too evenly across the region optimizes transport efficiency. All clustering-based methods offer a practical, data-driven alternative that does not rely on domain expertise or excessive computational resources, making them easily adaptable for real-world UAM planning. Sensitivity analyses further explore the influence of key parameters on the indicators. Findings highlight that reducing pre-flight time has a more significant impact on travel time saving, accessibility and equity than increasing UAM cruise speed, while higher fares significantly disproportionately reduce accessibility benefits and equality.", "keywords": [ "Cluster analysis", "Environmental science", "Computer science", "Geography", "Artificial intelligence" ], "cited_by_openalex": 12, "cited_by_scopus": "24", "eid": "2-s2.0-105004680426", "pii": "S2667091725000196", "open_access_url": "https://doi.org/10.1016/j.urbmob.2025.100117", "sources": [ { "db": "openalex", "stream": "UAV", "query_id": "UAV-3" }, { "db": "scopus", "stream": "UAV", "query_id": "UAV-3" } ], "streams": [ "UAV" ], "relevance_signals": [ "UAV_NO_CTX" ], "auto_exclude_reason": "EC-4-topic", "screening_status": "auto_excluded", "screened_by": "auto-v1.0.0" }, { "id": "doi:10.1016/j.aei.2025.103201", "doi": "10.1016/j.aei.2025.103201", "title": "A multistage stochastic programming approach for drone-supported last-mile humanitarian logistics system planning", "year": 2025, "authors": [ "Zhongyi Jin", "Kam K.H. Ng", "Chenliang Zhang", "Ying Chan", "Yichen Qin" ], "first_author": "Zhongyi Jin", "venue": "Advanced Engineering Informatics", "volume": "65", "pages": null, "type": "article", "language": "en", "abstract": null, "keywords": [ "Drone", "Mile", "Last mile (transportation)", "Humanitarian Logistics", "Computer science", "Operations research", "Stochastic programming", "Engineering", "Operations management", "Transport engineering", "Mathematical optimization", "Geography" ], "cited_by_openalex": 19, "cited_by_scopus": "23", "eid": "2-s2.0-85217905966", "pii": "S1474034625000941", "open_access_url": "https://doi.org/10.1016/j.aei.2025.103201", "sources": [ { "db": "openalex", "stream": "UAV", "query_id": "UAV-1" }, { "db": "openalex", "stream": "UAV", "query_id": "UAV-3" }, { "db": "scopus", "stream": "UAV", "query_id": "UAV-1" }, { "db": "scopus", "stream": "UAV", "query_id": "UAV-3" } ], "streams": [ "UAV" ], "relevance_signals": [ "UAV" ], "auto_exclude_reason": null, "screening_status": "pending_human_screening", "screened_by": "auto-v1.0.0" }, { "id": "doi:10.1016/j.cor.2025.107016", "doi": "10.1016/j.cor.2025.107016", "title": "The two-echelon vehicle routing problem with pickups, deliveries, and deadlines", "year": 2025, "authors": [ "Zamal M.A." ], "first_author": "Zamal M.A.", "venue": "Computers and Operations Research", "volume": "179", "pages": null, "type": "Article", "language": null, "abstract": null, "keywords": [], "cited_by_openalex": 0, "cited_by_scopus": "23", "eid": "2-s2.0-85218419247", "pii": "S0305054825000449", "open_access_url": null, "sources": [ { "db": "scopus", "stream": "TRUCK", "query_id": "TRUCK-2" } ], "streams": [ "TRUCK" ], "relevance_signals": [ "NO_TECHNOLOGY_MATCH" ], "auto_exclude_reason": "EC-4-topic", "screening_status": "auto_excluded", "screened_by": "auto-v1.0.0" }, { "id": "doi:10.1007/s10479-025-06904-1", "doi": "10.1007/s10479-025-06904-1", "title": "A metaheuristic approach for the multi-objective sustainable vehicle routing problem", "year": 2025, "authors": [ "Reza Moghdani", "Khodakaram Salimifard", "Emrah Demir", "Sasan Barak", "Adel Aazami", "Seyed Ashkan Hosseini Shekarabi" ], "first_author": "Reza Moghdani", "venue": "Annals of Operations Research", "volume": null, "pages": null, "type": "article", "language": "en", "abstract": "Abstract This study introduces the Multi-Objective Sustainable Vehicle Routing Problem (MOSVRP) with time windows, designed for congested urban networks. The model simultaneously addresses economic, environmental, and social sustainability by minimizing costs and emissions while maximizing customer satisfaction through enhanced service at pickup nodes. To manage the complexity of large-scale urban routing, we propose a novel Voronoi diagram-based network shrinking procedure that significantly reduces computational effort. More specifically, the model incorporates time-dependent traffic patterns to capture realistic urban conditions. For the solution, we propose a tailored metaheuristic, the enhanced Multi-Objective Volleyball Premier League (MOVPL) algorithm, which incorporates reference point guidance, disruption operators, and adaptive weight adjustment. This hybrid approach effectively balances conflicting objectives and improves solution diversity. Applied to Tehran’s urban freight network, the proposed method demonstrates superior performance across all metrics compared to benchmark algorithms and exact methods. Results show notable reductions in fuel consumption and travel distance, alongside improved service equity. Furthermore, the framework offers a scalable and transferable solution for sustainable logistics in other urban contexts.", "keywords": [ "Benchmark (surveying)", "Vehicle routing problem", "Traffic congestion", "Heuristics", "Scalability", "Sustainability", "Metaheuristic", "Routing (electronic design automation)", "Service level", "Service (business)" ], "cited_by_openalex": 12, "cited_by_scopus": "22", "eid": "2-s2.0-105023189532", "pii": null, "open_access_url": "https://link.springer.com/content/pdf/10.1007/s10479-025-06904-1.pdf", "sources": [ { "db": "openalex", "stream": "TRUCK", "query_id": "TRUCK-2" }, { "db": "scopus", "stream": "TRUCK", "query_id": "TRUCK-2" } ], "streams": [ "TRUCK" ], "relevance_signals": [ "NO_TECHNOLOGY_MATCH" ], "auto_exclude_reason": "EC-4-topic", "screening_status": "auto_excluded", "screened_by": "auto-v1.0.0" }, { "id": "doi:10.1016/j.trd.2025.104609", "doi": "10.1016/j.trd.2025.104609", "title": "Evaluation of cargo bike program for parcel deliveries in a medium-sized city", "year": 2025, "authors": [ "Andrii Galkin", "Libor Švadlenka", "Radek Vrba", "Leise Kelli de Oliveira" ], "first_author": "Andrii Galkin", "venue": "Transportation Research Part D Transport and Environment", "volume": null, "pages": null, "type": "article", "language": "en", "abstract": "City logistics is undergoing a transformative shift towards sustainability and efficiency. The environmental impacts of traditional delivery methods, coupled with urbanization, have driven the investigation of alternatives, including eco-friendly transportation modes. Among these, electric cargo bikes have emerged as a promising solution to reduce carbon emissions and congestion. This article delves into this case by evaluating a delivery service using electric cargo bikes using empirical data analysis, route optimization , and simulation. The findings support the strategic integration of electric cargo bikes with urban logistics hubs, enhancing the overall efficiency of last-mile deliveries. This research contributes to sustainable urban freight transport, providing information to city authorities, logistics operators, and policymakers. By establishing a robust framework for the deployment of electric cargo bikes in medium-sized cities, the study underscores the importance of innovative and sustainable solutions in transforming urban freight systems, aligning with global sustainability goals and improving urban livability.", "keywords": [ "Transport engineering", "Engineering", "Business", "Environmental science", "Aeronautics" ], "cited_by_openalex": 22, "cited_by_scopus": 0, "eid": null, "pii": null, "open_access_url": "https://doi.org/10.1016/j.trd.2025.104609", "sources": [ { "db": "openalex", "stream": "TRUCK", "query_id": "TRUCK-2" } ], "streams": [ "TRUCK" ], "relevance_signals": [ "NO_TECHNOLOGY_MATCH" ], "auto_exclude_reason": "EC-4-topic", "screening_status": "auto_excluded", "screened_by": "auto-v1.0.0" }, { "id": "doi:10.1016/j.ecotra.2025.100398", "doi": "10.1016/j.ecotra.2025.100398", "title": "Drone-as-a-Service for last-mile delivery: Evidence of economic viability", "year": 2025, "authors": [ "Evangelia Filiopoulou", "Cleopatra Bardaki", "Μάρα Νικολαϊδου", "Christos Michalakelis" ], "first_author": "Evangelia Filiopoulou", "venue": "Economics of Transportation", "volume": "41", "pages": null, "type": "article", "language": "en", "abstract": "An economic viability of last-mile delivery via drones is assessed, offering an investment model comparing traditional motorcycle delivery to drone-based alternatives. Two drone investment options — purchase or lease (Drone-as-a-Service) — were introduced. The proposed last-mile delivery model considers capital and operational costs, calculating Net Present Value(NPV) and Return of Investment (ROI) per investment scenario. For the operational expenses, the energy consumption model for the motorcycle and the drone is formulated. Furthermore, three wind settings — low, medium, and high wind — were examined to account for environmental factors impacting drone performance. The investment model has been formulated and then validated considering the relevant literature as well as realistic information collected during a semi-structured interview with industry experts The findings affirm the financial feasibility of adopting drones for last-mile delivery. Drone-as-a-Service emerged as a more profitable choice, exhibiting improved NPV and ROI over owned drones or motorcycle delivery. Emphasizing DaaS in the investment model presents a probable scenario for the logistics industry, easing their transition to drone technology. Evidence of DaaS viability is of value since it could convince risk-averse distribution vendors to adopt drone delivery .", "keywords": [ "Mile", "Drone", "Last mile (transportation)", "Service (business)", "Business", "Transport engineering", "Engineering", "Computer security", "Computer science", "Marketing", "Geography", "Biology" ], "cited_by_openalex": 17, "cited_by_scopus": "22", "eid": "2-s2.0-85217384461", "pii": "S2212012225000061", "open_access_url": "https://doi.org/10.1016/j.ecotra.2025.100398", "sources": [ { "db": "openalex", "stream": "UAV", "query_id": "UAV-1" }, { "db": "scopus", "stream": "UAV", "query_id": "UAV-1" } ], "streams": [ "UAV" ], "relevance_signals": [ "UAV" ], "auto_exclude_reason": null, "screening_status": "pending_human_screening", "screened_by": "auto-v1.0.0" }, { "id": "doi:10.1007/s10846-025-02277-6", "doi": "10.1007/s10846-025-02277-6", "title": "A Multi-UAV Approach for Fast Inspection of Overhead Power Lines: From Route Planning to Field Operation", "year": 2025, "authors": [ "Alvaro Caballero", "Francisco Javier Roman-Escorza", "Iván Maza", "Anı́bal Ollero" ], "first_author": "Alvaro Caballero", "venue": "Journal of Intelligent & Robotic Systems", "volume": "111", "pages": null, "type": "article", "language": "en", "abstract": "Abstract Overhead power lines are critical infrastructures to ensure a reliable energy supply, and failures in the grid can lead to significant service disruptions. Locating these faults quickly is crucial but often challenging, especially in hard-to-reach areas such as mountainous regions. This paper presents an integrated solution for the long-range visual inspection of overhead power lines in minimum time using teams of Unmanned Aerial Vehicles (UAVs). The solution, designed for effective field operation while meeting end-user requirements, comprises route planning, autonomous execution, and monitoring of the inspection mission. Concerning route planning, a capacitated min-max multi-depot vehicle routing problem has been formulated to compute feasible routes that cover the entire grid in minimum mission time. The method can be applied to heterogeneous multi-UAV teams in terms of inspection speed and battery consumption, which helps maximise the utilisation of available robots. Moreover, the planning method is complemented by an accurate battery-consumption model based on energy principles that captures the effect of parameters often overlooked such as UAV mass, inspection speed, and weather conditions. The model has shown estimates with relative errors not exceeding 1.34% compared to real measurements. The proposed solution has been experimentally validated under real-world conditions, enabling the autonomous multi-UAV inspection of more than 10 kilometres of real power lines in 13 minutes, which represents a time reduction of up to 67.21% compared to the state of the art. The resulting videos enabled the identification of a simulated power outage and its exact location.", "keywords": [ "Overhead (engineering)", "Field (mathematics)", "Computer science", "Power (physics)", "Real-time computing", "Embedded system", "Operating system", "Mathematics" ], "cited_by_openalex": 19, "cited_by_scopus": "22", "eid": "2-s2.0-105007222393", "pii": null, "open_access_url": "https://link.springer.com/content/pdf/10.1007/s10846-025-02277-6.pdf", "sources": [ { "db": "openalex", "stream": "UAV", "query_id": "UAV-2" }, { "db": "scopus", "stream": "UAV", "query_id": "UAV-2" } ], "streams": [ "UAV" ], "relevance_signals": [ "UAV_NO_CTX" ], "auto_exclude_reason": "EC-4-topic", "screening_status": "auto_excluded", "screened_by": "auto-v1.0.0" }, { "id": "doi:10.3390/en18061426", "doi": "10.3390/en18061426", "title": "Emerging Trends in Urban Air Mobility: An Extensive Review", "year": 2025, "authors": [ "Francesco Tripaldi", "Stefano Vianello", "Nicola Bianchi" ], "first_author": "Francesco Tripaldi", "venue": "Energies", "volume": "18", "pages": null, "type": "article", "language": "en", "abstract": "This paper presents a review of the main trends in the urban air mobility (UAM) sector. After an initial introduction to the key aspects driving the design of aircraft for this type of application and the main characteristics of each type of aircraft developed so far, the focus shifts to the description of the main regulatory frameworks, highlighting the essential requirements that the aircraft must meet at each stage of flight. To translate the aircraft or propeller requirements into design specifications for electric motors, an aerodynamic model is presented. Subsequently, a series of aircraft developed by major industry players is described. In the following section, the key characteristics sought in motors for UAM are outlined, along with various examples of motors developed by leading companies. Additionally, specific design considerations and recommendations are discussed, emphasizing critical aspects such as the adoption of advanced conductors and high-performance cooling systems to enhance power density and efficiency. In conclusion, this review highlights the diverse UAM designs shaping a technological shift in aviation. As prototypes evolve, greater standardization will drive industry growth and support the broader ecosystem, including vertiport providers.", "keywords": [ "Economic geography", "Regional science", "Environmental science", "Environmental planning", "Geography" ], "cited_by_openalex": 23, "cited_by_scopus": "22", "eid": "2-s2.0-105001131209", "pii": null, "open_access_url": "https://doi.org/10.3390/en18061426", "sources": [ { "db": "openalex", "stream": "UAV", "query_id": "UAV-3" }, { "db": "scopus", "stream": "UAV", "query_id": "UAV-3" } ], "streams": [ "UAV" ], "relevance_signals": [ "UAV_NO_CTX" ], "auto_exclude_reason": "EC-4-topic", "screening_status": "auto_excluded", "screened_by": "auto-v1.0.0" }, { "id": "doi:10.1016/j.sftr.2025.101089", "doi": "10.1016/j.sftr.2025.101089", "title": "Optimizing energy and CO2 efficiency in last-mile delivery using hybrid fleet models", "year": 2025, "authors": [ "Armin Mahmoodi", "Leila Hashemi", "Jeremy F. Laliberté", "Seyed Mojtaba Sajadi" ], "first_author": "Armin Mahmoodi", "venue": "Sustainable Futures", "volume": "10", "pages": null, "type": "article", "language": "en", "abstract": "Effective urban delivery systems demand innovative approaches to reduce energy use and lower CO 2 . This study compares the environmental performance of hybrid and diesel trucks with quadcopter and fixed-wing remotely piloted aircraft systems (RPAS), employing a multi-objective optimization approach non-dominated sorting genetic algorithm II (NSGA-II) to identify optimal delivery routes balancing operational efficiency and sustainability. Given that existing solutions like e-bikes or electric vans may not be feasible everywhere, this research evaluates different vehicle types under various urban delivery scenarios. Using a synthetic dataset that simulates realistic conditions, the findings reveal that fixed-wing RPAS excel in long-range efficiency, while quadcopters perform better in short-range deliveries. Hybrid trucks are advantageous for larger loads, reducing emissions compared to diesel trucks. The results highlight key trade-offs in energy use and emissions, advocating for a mixed-fleet strategy tailored to specific logistics needs. This study provides actionable insights for sustainable urban freight planning and policymaking.", "keywords": [ "Mile", "Last mile (transportation)", "Environmental science", "Computer science", "Geography" ], "cited_by_openalex": 16, "cited_by_scopus": "21", "eid": "2-s2.0-105012406160", "pii": "S2666188825006537", "open_access_url": "https://doi.org/10.1016/j.sftr.2025.101089", "sources": [ { "db": "openalex", "stream": "TRUCK", "query_id": "TRUCK-1" }, { "db": "openalex", "stream": "TRUCK", "query_id": "TRUCK-2" }, { "db": "openalex", "stream": "TRUCK", "query_id": "TRUCK-3" }, { "db": "scopus", "stream": "TRUCK", "query_id": "TRUCK-1" }, { "db": "scopus", "stream": "TRUCK", "query_id": "TRUCK-2" }, { "db": "scopus", "stream": "TRUCK", "query_id": "TRUCK-3" } ], "streams": [ "TRUCK" ], "relevance_signals": [ "TRUCK" ], "auto_exclude_reason": null, "screening_status": "pending_human_screening", "screened_by": "auto-v1.0.0" }, { "id": "doi:10.1109/tits.2025.3533477", "doi": "10.1109/tits.2025.3533477", "title": "Optimizing Urban Logistics: Vehicle Routing Problem With Underground Transportation", "year": 2025, "authors": [ "Ho Young Jeong", "Byung Duk Song" ], "first_author": "Ho Young Jeong", "venue": "IEEE Transactions on Intelligent Transportation Systems", "volume": "26", "pages": "6393-6413", "type": "article", "language": "en", "abstract": "In response to increasing congestion and inefficiencies in urban freight transportation systems, driven by the rapid rise of e-commerce and urbanization, underground logistics are emerging as a promising alternative. This study introduces the Vehicle Routing Problem with Underground Transportation (VRP-UT), a novel model that integrates traditional vehicle routing with underground logistics facilities to optimize urban deliveries. To address the model’s complexity, we propose a hybrid solution approach that combines Q-learning with pruning techniques, enhancing route optimization and minimizing unnecessary operations. Comprehensive numerical and sensitivity analyses further validate the model’s effectiveness, positioning VRP-UT as a scalable and efficient solution to meet growing urban logistics demands while supporting sustainable development. A case study, including sensitivity analysis based on Seoul Subway Line 3, demonstrates the practical applicability of the VRP-UT model, highlighting its potential to alleviate surface-level traffic congestion, reduce operational costs, and shorten delivery times in densely populated urban areas.", "keywords": [ "Vehicle routing problem", "Transport engineering", "Routing (electronic design automation)", "City logistics", "Computer science", "Engineering", "Computer network" ], "cited_by_openalex": 17, "cited_by_scopus": "21", "eid": "2-s2.0-85217689347", "pii": null, "open_access_url": "https://doi.org/10.1109/tits.2025.3533477", "sources": [ { "db": "openalex", "stream": "TRUCK", "query_id": "TRUCK-2" }, { "db": "scopus", "stream": "TRUCK", "query_id": "TRUCK-2" } ], "streams": [ "TRUCK" ], "relevance_signals": [ "NO_TECHNOLOGY_MATCH" ], "auto_exclude_reason": "EC-4-topic", "screening_status": "auto_excluded", "screened_by": "auto-v1.0.0" }, { "id": "doi:10.3390/en18195242", "doi": "10.3390/en18195242", "title": "AI-Enhanced Eco-Efficient UAV Design for Sustainable Urban Logistics: Integration of Embedded Intelligence and Renewable Energy Systems", "year": 2025, "authors": [ "Luigi Bibbò", "Filippo Laganà", "Giuliana Bilotta", "Giuseppe Maria Meduri", "Giovanni Angiulli", "Francesco Cotroneo" ], "first_author": "Luigi Bibbò", "venue": "Energies", "volume": "18", "pages": null, "type": "article", "language": "en", "abstract": "The increasing use of UAVs has reshaped urban logistics, enabling sustainable alternatives to traditional deliveries. To address critical issues inherent in the system, the proposed study presents the design and evaluation of an innovative unmanned aerial vehicle (UAV) prototype that integrates advanced electronic components and artificial intelligence (AI), with the aim of reducing environmental impact and enabling autonomous navigation in complex urban environments. The UAV platform incorporates brushless DC motors, high-density LiPo batteries and perovskite solar cells to improve energy efficiency and increase flight range. The Deep Q-Network (DQN) allocates energy and selects reference points in the presence of wind and payload disturbances, while an integrated sensor system monitors motor vibration/temperature and charge status to prevent failures. In urban canyon and field scenarios (wind from 0 to 8 m/s; payload from 0.35 to 0.55 kg), the system reduces energy consumption by up to 18%, increases area coverage by 12% for the same charge, and maintains structural safety factors > 1.5 under gust loading. The approach combines sustainable materials, efficient propulsion, and real-time AI-based navigation for energy-conscious flight planning. A hybrid methodology, combining experimental design principles with finite-element-based structural modelling and AI-enhanced monitoring, has been applied to ensure structural health awareness. The study implements proven edge-AI sensor fusion architectures, balancing portability and telemonitoring with an integrated low-power design. The results confirm a reduction in energy consumption and CO2 emissions compared to traditional delivery vehicles, confirming that the proposed system represents a scalable and intelligent solution for last-mile delivery, contributing to climate resilience and urban sustainability. The findings position the proposed UAV as a scalable reference model for integrating AI-driven navigation and renewable energy systems in sustainable logistics.", "keywords": [ "Payload (computing)", "Drone", "Energy consumption", "Software portability", "Renewable energy", "Efficient energy use", "Scalability", "Testbed", "Smart city" ], "cited_by_openalex": 20, "cited_by_scopus": "21", "eid": "2-s2.0-105019178265", "pii": null, "open_access_url": "https://www.mdpi.com/1996-1073/18/19/5242/pdf?version=1759403480", "sources": [ { "db": "openalex", "stream": "UAV", "query_id": "UAV-1" }, { "db": "scopus", "stream": "UAV", "query_id": "UAV-1" } ], "streams": [ "UAV" ], "relevance_signals": [ "UAV" ], "auto_exclude_reason": null, "screening_status": "pending_human_screening", "screened_by": "auto-v1.0.0" }, { "id": "doi:10.3390/drones9020118", "doi": "10.3390/drones9020118", "title": "A Multi-Objective Black-Winged Kite Algorithm for Multi-UAV Cooperative Path Planning", "year": 2025, "authors": [ "X.B. Liu", "Fufu Wang", "Yu Liu", "Long Li" ], "first_author": "X.B. Liu", "venue": "Drones", "volume": "9", "pages": null, "type": "article", "language": "en", "abstract": "In UAV path-planning research, it is often difficult to achieve optimal performance for conflicting objectives. Therefore, the more promising approach is to find a balanced solution that mitigates the effects of subjective weighting, utilizing a multi-objective optimization algorithm to address the complex planning issues that involve multiple machines. Here, we introduce an advanced mathematical model for cooperative path planning among multiple UAVs in urban logistics scenarios, employing the non-dominated sorting black-winged kite algorithm (NSBKA) to address this multi-objective optimization challenge. To evaluate the efficacy of NSBKA, it was benchmarked against other algorithms using the Zitzler, Deb, and Thiele (ZDT) test problems, Deb, Thiele, Laumanns, and Zitzler (DTLZ) test problems, and test functions from the conference on evolutionary computation 2009 (CEC2009) for three types of multi-objective problems. Comparative analyses and statistical results indicate that the proposed algorithm outperforms on all 22 test functions. To verify the capability of NSBKA in addressing the multi-UAV cooperative problem model, the algorithm is applied to solve the problem. Simulation experiments for three UAVs and five UAVs show that the proposed algorithm can obtain a more reasonable collaborative path solution set for UAVs. Moreover, path planning based on NSBKA is generally superior to other algorithms in terms of energy saving, safety, and computing efficiency during planning. This affirms the effectiveness of the meta-heuristic algorithm in dealing with multiple objective multi-UAV cooperation problems and further enhances the robustness and competitiveness of NSBKA.", "keywords": [ "Kite", "Computer science", "Path (computing)", "Motion planning", "Algorithm", "Mathematical optimization", "Artificial intelligence", "Mathematics", "Computer network", "Geometry" ], "cited_by_openalex": 16, "cited_by_scopus": "21", "eid": "2-s2.0-85218621263", "pii": null, "open_access_url": "https://doi.org/10.3390/drones9020118", "sources": [ { "db": "openalex", "stream": "UAV", "query_id": "UAV-1" }, { "db": "scopus", "stream": "UAV", "query_id": "UAV-1" } ], "streams": [ "UAV" ], "relevance_signals": [ "UAV" ], "auto_exclude_reason": null, "screening_status": "pending_human_screening", "screened_by": "auto-v1.0.0" }, { "id": "doi:10.3390/cleantechnol7010024", "doi": "10.3390/cleantechnol7010024", "title": "Environmental Implications of Drone-Based Delivery Systems: A Structured Literature Review", "year": 2025, "authors": [ "Kumar Abhijeet", "Victor R. Prybutok", "Vikas Kumar Reddy Sangana" ], "first_author": "Kumar Abhijeet", "venue": "Clean Technologies", "volume": "7", "pages": null, "type": "article", "language": "en", "abstract": "This study presents a structured review of 59 academic articles, identified through an extensive literature survey, focused on the environmental implications of drone-based delivery systems within the broader fields of transportation, logistics, and sustainability. The reviewed journals cover a multidisciplinary range of topics, reflecting the intersection of drone technology with environmental science, logistics management, and operational research. Key journals, such as Transportation Research Part C: Emerging Technologies, Computers and Industrial Engineering, and Applied Mathematical Modelling, offer critical insights into how drone technology can reshape logistics systems, reduce environmental impacts, and contribute to intelligent transportation solutions. In addition, niche publications in areas like artificial intelligence, disaster risk reduction, and sustainable transportation further enhance the breadth of this review. By identifying and categorizing these publications, this review provides a valuable resource for researchers and practitioners aiming to explore the environmental and operational challenges of drone-based delivery systems, while also offering a foundation for future research on their sustainability and integration into existing logistics frameworks.", "keywords": [ "Drone", "Computer science", "Engineering", "Aeronautics", "Biology" ], "cited_by_openalex": 20, "cited_by_scopus": "21", "eid": "2-s2.0-105001123054", "pii": null, "open_access_url": "https://doi.org/10.3390/cleantechnol7010024", "sources": [ { "db": "openalex", "stream": "UAV", "query_id": "UAV-3" }, { "db": "scopus", "stream": "UAV", "query_id": "UAV-3" } ], "streams": [ "UAV" ], "relevance_signals": [ "UAV_NO_CTX" ], "auto_exclude_reason": "EC-4-topic", "screening_status": "auto_excluded", "screened_by": "auto-v1.0.0" }, { "id": "doi:10.1016/j.eswa.2025.127534", "doi": "10.1016/j.eswa.2025.127534", "title": "Unmanned surface vessel routing and unmanned aerial vehicle swarm scheduling for off-shore wind turbine blade inspection", "year": 2025, "authors": [ "Ismail A.H." ], "first_author": "Ismail A.H.", "venue": "Expert Systems with Applications", "volume": "284", "pages": null, "type": "Article", "language": null, "abstract": null, "keywords": [], "cited_by_openalex": 0, "cited_by_scopus": "21", "eid": "2-s2.0-105004223546", "pii": "S095741742501156X", "open_access_url": null, "sources": [ { "db": "scopus", "stream": "UAV", "query_id": "UAV-2" } ], "streams": [ "UAV" ], "relevance_signals": [ "UAV_NO_CTX" ], "auto_exclude_reason": "EC-4-topic", "screening_status": "auto_excluded", "screened_by": "auto-v1.0.0" }, { "id": "doi:10.3390/drones9030193", "doi": "10.3390/drones9030193", "title": "Air Route Network Planning Method of Urban Low-Altitude Logistics UAV with Double-Layer Structure", "year": 2025, "authors": [ "Zhendong Li", "Shan Li", "Jian John Lu", "S. Wang" ], "first_author": "Zhendong Li", "venue": "Drones", "volume": "9", "pages": null, "type": "article", "language": "en", "abstract": "With the rapid development of e-commerce, logistics UAVs (unmanned aerial vehicles) have shown great potential in the field of urban logistics. However, the large-scale operation of logistics UAVs has brought challenges to air traffic management, and the competitiveness of UAV logistics is still weak compared with traditional ground logistics. Therefore, this paper constructs a double-layer route network structure that separates logistics transshipment from terminal delivery. In the delivery layer, a door-to-door distribution mode is adopted, and the transshipment node service location model is constructed, so as to obtain the location of the transshipment node and the service relationship. In the transshipment layer, the index of the route betweenness standard deviation (BSD) is introduced to construct the route network planning model. In order to solve the above model, a double-layer algorithm was designed. In the upper layer, the multi-objective simulated annealing algorithm (MOSA) is used to solve the transshipment node service location issue, and in the lower layer, the multi-objective non-dominated sorting genetic algorithm II (NSGA-II) is adopted to solve the network planning model. Based on real obstacle data and the demand situation, the double-layer network was constructed through simulation experiments. To verify the network rationality, actual flights were carried out on some routes, and it was found that the gap between the UAV’s autonomous flight route time and the theoretical calculations was relatively small. The simulation results show that compared with the single-layer network, the total distance with the double-layer network was reduced by 62.5% and the structural intersection was reduced by 96.9%. Compared with the minimum spanning tree (MST) algorithm, the total task flight distance obtained with the NSGA-II was reduced by 42.4%. The BSD factors can mitigate potential congestion risks. The route network proposed in this paper can effectively reduce the number of intersections and make the UAV passing volume more balanced.", "keywords": [ "Layer (electronics)", "Altitude (triangle)", "Route planning", "City logistics", "Low altitude", "Transport engineering", "Business", "Environmental science", "Computer science", "Automotive engineering", "Materials science", "Engineering" ], "cited_by_openalex": 13, "cited_by_scopus": "20", "eid": "2-s2.0-105001101644", "pii": null, "open_access_url": "https://doi.org/10.3390/drones9030193", "sources": [ { "db": "openalex", "stream": "UAV", "query_id": "UAV-1" }, { "db": "scopus", "stream": "UAV", "query_id": "UAV-1" } ], "streams": [ "UAV" ], "relevance_signals": [ "UAV" ], "auto_exclude_reason": null, "screening_status": "pending_human_screening", "screened_by": "auto-v1.0.0" }, { "id": "doi:10.1016/j.trpro.2025.03.076", "doi": "10.1016/j.trpro.2025.03.076", "title": "Last-Mile Delivery Optimization: Recent Approaches and Advances", "year": 2025, "authors": [ "Abdullahi Sani Shuaibu", "Ashraf Mahmoud", "Tarek Sheltami" ], "first_author": "Abdullahi Sani Shuaibu", "venue": "Transportation research procedia", "volume": "84", "pages": "299-306", "type": "article", "language": "en", "abstract": "There are numerous challenges in the last mile of urban logistics operations related to efficiency, resource allocation, environmental sustainability, and delivery operations. Technological innovation in recent years is trying to fill these loopholes and bring out efficient, reliable, and sustainable last-mile delivery. This paper provides a summary of the current optimization approaches in last-mile delivery, covering traditional Linear Programming methods, sophisticated algorithmic techniques known as metaheuristic methods, Artificial Intelligence (AI) based approaches, experience-based methodologies, and energy conservation techniques. These sets of optimization techniques—derived from optimization theory and computational algorithms—are diverse in their strategies for route planning, resource allocation, and energy management and tailored to the complex nature of urban delivery networks. In this regard, promising future technologies have also been discussed to re-orient last-mile delivery. Autonomous delivery by drones is one such game-changing solution that can enable rapid and eco-friendly delivery capabilities. Smart delivery acceptance systems through extensive use of advanced sensor technologies and data analytics help simplify parcel reception processes and make them much more efficient and safer. In the context of changing customer preferences and the emergence of e-commerce, the optimization of the last mile is critical in satisfying increasing demand while ensuring environmental sustainability and operational efficiency. Such innovative technologies and optimization strategies will enable delivery providers to better manage urban logistics challenges to deliver better customer experience and achieve sustainable growth in the last mile of delivery.", "keywords": [ "Mile", "Last mile (transportation)", "Computer science", "Engineering", "Geography" ], "cited_by_openalex": 18, "cited_by_scopus": "19", "eid": "2-s2.0-105001503172", "pii": "S2352146525001243", "open_access_url": "https://doi.org/10.1016/j.trpro.2025.03.076", "sources": [ { "db": "openalex", "stream": "TRUCK", "query_id": "TRUCK-2" }, { "db": "openalex", "stream": "UAV", "query_id": "UAV-1" }, { "db": "scopus", "stream": "TRUCK", "query_id": "TRUCK-2" }, { "db": "scopus", "stream": "UAV", "query_id": "UAV-1" }, { "db": "scopus", "stream": "UAV", "query_id": "UAV-2" } ], "streams": [ "TRUCK", "UAV" ], "relevance_signals": [ "UAV" ], "auto_exclude_reason": null, "screening_status": "pending_human_screening", "screened_by": "auto-v1.0.0" }, { "id": "doi:10.1016/j.engappai.2025.110258", "doi": "10.1016/j.engappai.2025.110258", "title": "The two-tier multi-depot vehicle routing problem with robot stations and time windows", "year": 2025, "authors": [ "Giovanni Campuzano", "Eduardo Lalla‐Ruiz", "Martijn Mes" ], "first_author": "Giovanni Campuzano", "venue": "Engineering Applications of Artificial Intelligence", "volume": "147", "pages": null, "type": "article", "language": "en", "abstract": "The deployment of sidewalk robots or automated guided vehicles (AGVs) offers significant potential to reduce traffic congestion and operational costs in last-mile logistics. Delivery systems using a two-layer structure, with trucks in the first layer and sidewalk robots at stations in the second, are modeled as Two-Tier Vehicle Routing Problems with Robot Stations (2T-VRP-RS). In this paper, we extend the 2T-VRP-RS to introduce the Two-Tier Multi-Depot Vehicle Routing Problem with Robot Stations and Time Windows (2T-MDVRP-RS-TW). We propose a Mixed-Integer Linear Programming (MILP) formulation and a Multi-Start Iterated Local Search metaheuristic with Crossover and Repair (MS-ILS-CR) operators. The MS-ILS-CR combines three strategies: a Multi-Start mechanism, a Crossover operator, and a Repair operator adapted from Variable Neighborhood Search, Genetic Algorithms, and Adaptive Large Neighborhood Search, respectively. We introduce new instance sets to study the 2T-MDVRP-RS-TW. Results showed that the MILP formulation is competitive for small instances of 10 customers. However, the metaheuristic consistently achieved better solution quality and lower computational times, with improvements of over 20% in the average objective values for instances of up to 30 customers. The MS-ILS-CR outperformed similar metaheuristic methods, improving its initial solutions by 66%. Furthermore, a sensitivity analysis showed a limited impact of time-window variations on the objective values. Nevertheless, a significant sensitivity was found to the depot configurations. Hence, increasing the number of depots from 1 to 3 improved the average objective values by 56%. Additionally, the MS-ILS-CR performance was further enhanced with more crossover iterations, but at the cost of higher computational times.", "keywords": [ "Computer science", "Depot", "Vehicle routing problem", "Robot", "Routing (electronic design automation)", "Real-time computing", "Simulation", "Embedded system", "Artificial intelligence" ], "cited_by_openalex": 16, "cited_by_scopus": "19", "eid": "2-s2.0-85218461020", "pii": "S0952197625002581", "open_access_url": "https://doi.org/10.1016/j.engappai.2025.110258", "sources": [ { "db": "openalex", "stream": "TRUCK", "query_id": "TRUCK-3" }, { "db": "scopus", "stream": "TRUCK", "query_id": "TRUCK-3" } ], "streams": [ "TRUCK" ], "relevance_signals": [ "TRUCK" ], "auto_exclude_reason": null, "screening_status": "pending_human_screening", "screened_by": "auto-v1.0.0" }, { "id": "doi:10.1016/j.tre.2025.104095", "doi": "10.1016/j.tre.2025.104095", "title": "Data-driven optimization for drone delivery service planning with online demand", "year": 2025, "authors": [ "Aditya Paul", "Michael W. Levin", "Steven Travis Waller", "David Rey" ], "first_author": "Aditya Paul", "venue": "Transportation Research Part E Logistics and Transportation Review", "volume": "198", "pages": null, "type": "article", "language": "en", "abstract": "In this study, we develop an innovative data-driven optimization approach to solve the drone delivery service planning problem with online demand. Drone-based logistics are expected to improve operations by enhancing flexibility and reducing congestion effects induced by last-mile deliveries. With rising digitalization and urbanization, however, logistics service providers are constantly grappling with the challenge of uncertain real-time demand. This study investigates the problem of planning drone delivery service through an urban air traffic network to fulfill dynamic and stochastic demand. Customer requests – if accepted – generate profit and are serviced by individual drone flights as per request origins, destinations and time windows. We cast this stochastic optimization problem as a Markov decision process . We present a novel data-driven optimization approach which generates predictive prescriptions of parameters of a surrogate optimization formulation. Our solution method consists of synthesizing training data via lookahead simulations to train a supervised machine learning model for predicting relative link priority based on the state of the network. This knowledge is then leveraged to selectively create weighted reserve capacity in the network and via a surrogate objective function that controls the trade-off between reserve capacity and profit maximization to maximize the cumulative profit earned. Using numerical experiments based on benchmarking transportation networks, the resulting data-driven optimization policy is shown to outperform a myopic policy. Sensitivity analyses on learning parameters reveal insights into the design of efficient policies for drone delivery service planning with online demand.", "keywords": [ "Drone", "Service (business)", "Computer science", "Business", "On demand", "Operations research", "Engineering", "Marketing", "Multimedia" ], "cited_by_openalex": 19, "cited_by_scopus": "19", "eid": "2-s2.0-105001256407", "pii": "S136655452500136X", "open_access_url": "https://doi.org/10.1016/j.tre.2025.104095", "sources": [ { "db": "openalex", "stream": "UAV", "query_id": "UAV-1" }, { "db": "scopus", "stream": "UAV", "query_id": "UAV-1" } ], "streams": [ "UAV" ], "relevance_signals": [ "UAV" ], "auto_exclude_reason": null, "screening_status": "pending_human_screening", "screened_by": "auto-v1.0.0" }, { "id": "doi:10.1109/tmc.2025.3626747", "doi": "10.1109/tmc.2025.3626747", "title": "Digital Twins for Low-Altitude UAV Networks–Cooperation and Learning", "year": 2025, "authors": [ "Longyu Zhou", "Supeng Leng", "Yuchen Liu", "Zehui Xiong", "Tony Q. S. Quek" ], "first_author": "Longyu Zhou", "venue": "IEEE Transactions on Mobile Computing", "volume": "25", "pages": "4839-4856", "type": "article", "language": "en", "abstract": "The Digital Twin (DT) system has become a new paradigm to empower Unmanned Aerial Vehicles (UAV) networks for low-altitude applications, such as parcel delivery. However, due to high computing complexity, traditional DT technology might confront challenges to imitating highly dynamic UAVs in large-scale parcel delivery scenarios. It causes a negative influence on low-latency and high-accuracy delivery. To address the issue, we propose a terminal-edge cooperative multi-scale DT framework. It can perform a cooperative DT implementation with a cross-layer computing resource orchestration based on a multi-scale imitation manner. Explicitly, we propose a graph matching network based DT algorithm to run macro-scale DTs at the edge. It can assist edge UAVs in exploring feasible delivery associations among UAV groups and parcel clusters based on information on UAV topology and parcel destinations for a high successful delivery ratio. We then propose a Competitive and Cooperative Reinforcement Learning (CCRL) based DT algorithm to implement micro-scale DTs at the terminal. It can enable UAVs to implement low-latency delivery by optimizing delivery paths with low energy consumption. We demonstrate the effectiveness of the proposed framework with verifications under multiple metrics. The results show that our solution provides a real-time UAV delivery performance, with up to 94% successful delivery ratio, under a low system latency compared to the state-of-the-art solutions.", "keywords": [ "Orchestration", "Reinforcement learning", "Edge computing", "Network topology", "Latency (audio)", "Matching (statistics)", "Blossom algorithm", "Low latency (capital markets)", "Graph" ], "cited_by_openalex": 16, "cited_by_scopus": "19", "eid": "2-s2.0-105020694827", "pii": null, "open_access_url": "https://pure.qub.ac.uk/en/publications/191193ff-0ba2-475e-83db-239e9854f677", "sources": [ { "db": "openalex", "stream": "UAV", "query_id": "UAV-1" }, { "db": "scopus", "stream": "UAV", "query_id": "UAV-1" } ], "streams": [ "UAV" ], "relevance_signals": [ "UAV" ], "auto_exclude_reason": null, "screening_status": "pending_human_screening", "screened_by": "auto-v1.0.0" }, { "id": "doi:10.1016/j.jtrangeo.2025.104209", "doi": "10.1016/j.jtrangeo.2025.104209", "title": "Spatial drone path planning: A systematic review of parameters and algorithms", "year": 2025, "authors": [ "Sushma M.B." ], "first_author": "Sushma M.B.", "venue": "Journal of Transport Geography", "volume": "125", "pages": null, "type": "Review", "language": null, "abstract": null, "keywords": [], "cited_by_openalex": 0, "cited_by_scopus": "19", "eid": "2-s2.0-105000283263", "pii": "S0966692325001000", "open_access_url": null, "sources": [ { "db": "scopus", "stream": "UAV", "query_id": "UAV-1" }, { "db": "scopus", "stream": "UAV", "query_id": "UAV-3" } ], "streams": [ "UAV" ], "relevance_signals": [ "UAV_NO_CTX" ], "auto_exclude_reason": "EC-4-topic", "screening_status": "auto_excluded", "screened_by": "auto-v1.0.0" }, { "id": "doi:10.1016/j.iot.2024.101468", "doi": "10.1016/j.iot.2024.101468", "title": "A multi-objective model for cooperative delivery of customer orders using multiple trucks and UAVs considering weather conditions", "year": 2025, "authors": [ "Heidari A." ], "first_author": "Heidari A.", "venue": "Internet of Things the Netherlands", "volume": "29", "pages": null, "type": "Article", "language": null, "abstract": null, "keywords": [], "cited_by_openalex": 0, "cited_by_scopus": "19", "eid": "2-s2.0-85212664524", "pii": "S2542660524004098", "open_access_url": null, "sources": [ { "db": "scopus", "stream": "UAV", "query_id": "UAV-1" } ], "streams": [ "UAV" ], "relevance_signals": [ "UAV_NO_CTX", "TRUCK_NO_CTX" ], "auto_exclude_reason": "EC-4-topic", "screening_status": "auto_excluded", "screened_by": "auto-v1.0.0" }, { "id": "doi:10.3390/wevj16020096", "doi": "10.3390/wevj16020096", "title": "Electric Long-Haul Trucks and High-Power Charging: Modelling and Analysis of the Required Infrastructure in Germany", "year": 2025, "authors": [ "Tobias Tietz", "Tu-Anh Fay", "Tilmann Schlenther", "Dietmar Göhlich" ], "first_author": "Tobias Tietz", "venue": "World Electric Vehicle Journal", "volume": "16", "pages": null, "type": "article", "language": "en", "abstract": "Heavy goods transportation is responsible for around 27% of CO2 emissions from road transport in the EU and for 5% of total CO2 emissions in the EU. The decarbonization of long-distance transport in particular remains a major challenge. The combination of battery electric trucks (BETs) with on-route high-power charging (HPC) offers a promising solution. Planning and setting up the required infrastructure is a critical success factor here. We propose a methodology to evaluate the charging infrastructure needed to support the large-scale introduction of heavy-duty BETs in Germany, considering different levels of electrification, taking the European driving and rest time regulations into account. Our analysis employs MATSim, an activity-based multi-agent transport simulation, to assess potential bottlenecks in the charging infrastructure and to simulate the demand-based distribution of charging stations. The MATSim simulation is combined with an extensive pre-processing of transport-related data and a suitable post-processing. This approach allows for a detailed examination of the required charging infrastructure, considering the impacts of depot charging solutions and the dynamic nature of truck movements and charging needs. The results indicate a significant need to augment HPC with substantial low power overnight charging facilities and highlight the importance of strategic infrastructure development to accommodate the growing demand for chargers for BETs. By simulating various scenarios of electrification, we demonstrate the critical role of demand-oriented infrastructure planning in reducing emissions from the road freight sector until 2030. This study contributes to the ongoing discourse on sustainable transportation, offering insights into the infrastructure requirements and planning challenges associated with the transition to battery electric heavy-duty vehicles.", "keywords": [ "Truck", "Automotive engineering", "Environmental science", "Business", "Engineering" ], "cited_by_openalex": 20, "cited_by_scopus": "18", "eid": "2-s2.0-85218916608", "pii": null, "open_access_url": "https://www.mdpi.com/2032-6653/16/2/96/pdf?version=1739340942", "sources": [ { "db": "openalex", "stream": "TRUCK", "query_id": "TRUCK-3" }, { "db": "scopus", "stream": "TRUCK", "query_id": "TRUCK-3" } ], "streams": [ "TRUCK" ], "relevance_signals": [ "TRUCK_NO_CTX" ], "auto_exclude_reason": "EC-4-topic", "screening_status": "auto_excluded", "screened_by": "auto-v1.0.0" }, { "id": "doi:10.1007/s44250-025-00187-w", "doi": "10.1007/s44250-025-00187-w", "title": "Beyond numbers: a novel IoT and drone framework for enhancing healthcare logistics", "year": 2025, "authors": [ "Tejinder Singh Lakhwani", "Yerasani Sinjana", "Anuj Pal Kapoor" ], "first_author": "Tejinder Singh Lakhwani", "venue": "Discover Health Systems", "volume": null, "pages": null, "type": "article", "language": "en", "abstract": "Efficient healthcare logistics, particularly for perishable medical supplies like blood bags, require innovative solutions to overcome the limitations of traditional cost-focused models. This study introduces an IoT-Drone framework that enhances adaptability, reliability, and sustainability in healthcare logistics. IoT sensors ensure continuous monitoring for quality assurance, while drones enable rapid last-mile delivery, bypassing challenges such as traffic congestion and limited infrastructure. Simulation results reveal a 78% reduction in delivery times and a 65% decrease in carbon emissions, demonstrating the framework's transformative potential in revolutionizing healthcare logistics. A hypothetical scenario illustrates its capacity to navigate logistical barriers in remote settings, ensuring timely delivery of life-saving supplies and improved patient care. Beyond healthcare, the framework’s adaptability extends to emergency response, vaccine distribution, and other critical sectors, offering scalable solutions for diverse logistical challenges. By addressing technical, regulatory, and infrastructural barriers through modular drone designs, hybrid transport models, and AI-driven route optimization, this study provides a robust foundation for real-world applications. Prioritizing real-time decision-making, operational resilience, and environmental sustainability, the IoT-Drone framework sets a new standard for global logistics. It offers a future-ready solution for delivering essential supplies to remote and unpredictable locations, redefining efficiency, reliability, and equity across industries.", "keywords": [ "Drone", "Internet of Things", "Health care", "Computer science", "Business", "Computer security", "Political science" ], "cited_by_openalex": 18, "cited_by_scopus": 0, "eid": null, "pii": null, "open_access_url": "https://doi.org/10.1007/s44250-025-00187-w", "sources": [ { "db": "openalex", "stream": "UAV", "query_id": "UAV-1" } ], "streams": [ "UAV" ], "relevance_signals": [ "UAV" ], "auto_exclude_reason": null, "screening_status": "pending_human_screening", "screened_by": "auto-v1.0.0" }, { "id": "doi:10.1016/j.cor.2025.107141", "doi": "10.1016/j.cor.2025.107141", "title": "Time-dependent electric vehicle-drone routing problem for scheduled deliveries and on-demand pickups considering variable drone speeds and no-fly zones", "year": 2025, "authors": [ "Xiaoxue Ren", "Houming Fan", "Hao Fan", "Mengzhi Ma" ], "first_author": "Xiaoxue Ren", "venue": "Computers & Operations Research", "volume": "182", "pages": null, "type": "article", "language": "en", "abstract": null, "keywords": [ "Drone", "Computer science", "Vehicle routing problem", "Variable (mathematics)", "Pickup", "Routing (electronic design automation)", "Electric vehicle", "Mathematical optimization", "Operations research", "Real-time computing", "Computer network", "Mathematics" ], "cited_by_openalex": 16, "cited_by_scopus": "18", "eid": "2-s2.0-105005391321", "pii": "S0305054825001698", "open_access_url": "https://doi.org/10.1016/j.cor.2025.107141", "sources": [ { "db": "openalex", "stream": "UAV", "query_id": "UAV-2" }, { "db": "scopus", "stream": "UAV", "query_id": "UAV-2" } ], "streams": [ "UAV" ], "relevance_signals": [ "UAV_NO_CTX" ], "auto_exclude_reason": "EC-4-topic", "screening_status": "auto_excluded", "screened_by": "auto-v1.0.0" }, { "id": "doi:10.1109/tcomm.2025.3597655", "doi": "10.1109/tcomm.2025.3597655", "title": "Trusted Routing for Blockchain-Empowered UAV Networks via Multi-Agent Deep Reinforcement Learning", "year": 2025, "authors": [ "Ziye Jia", "Sijie He", "Qiuming Zhu", "Wei Wang", "Qihui Wu", "Zhu Han" ], "first_author": "Ziye Jia", "venue": "IEEE Transactions on Communications", "volume": "73", "pages": "14227-14242", "type": "article", "language": "en", "abstract": "Due to the high flexibility and versatility, uncrewed aerial vehicles (UAVs) are leveraged in various fields including surveillance and disaster rescue. However, in UAV networks, routing is vulnerable to malicious damage due to distributed topologies and high dynamics. Hence, ensuring the routing security of UAV networks is challenging. In this paper, we characterize the routing process in a time-varying UAV network with malicious nodes. Specifically, we formulate the routing problem to minimize the total delay, which is an integer linear programming and intractable to solve. Then, to tackle the network security issue, a blockchain-based trust management mechanism (BTMM) is designed to dynamically evaluate trust values and identify low-trust UAVs. To improve traditional practical Byzantine fault tolerance algorithms in the blockchain, we propose a consensus UAV update mechanism. Besides, considering the local observability, the routing problem is reformulated into a decentralized partially observable Markov decision process. Further, a multi-agent double deep Q-network based routing algorithm is designed to minimize the total delay. Finally, simulations are conducted with attacked UAVs and numerical results show that the delay of the proposed mechanism decreases by 13.39%, 12.74%, and 16.6% than multi-agent proximal policy optimal algorithms, multi-agent deep Q-network algorithms, and methods without BTMM, respectively.", "keywords": [ "Blockchain", "Reinforcement learning", "Computer science", "Routing (electronic design automation)", "Computer network", "Multi-agent system", "Distributed computing", "Artificial intelligence", "Computer security" ], "cited_by_openalex": 13, "cited_by_scopus": "18", "eid": "2-s2.0-105013170184", "pii": null, "open_access_url": "https://doi.org/10.1109/tcomm.2025.3597655", "sources": [ { "db": "openalex", "stream": "UAV", "query_id": "UAV-2" }, { "db": "scopus", "stream": "UAV", "query_id": "UAV-2" } ], "streams": [ "UAV" ], "relevance_signals": [ "UAV_NO_CTX" ], "auto_exclude_reason": "EC-4-topic", "screening_status": "auto_excluded", "screened_by": "auto-v1.0.0" }, { "id": "doi:10.1016/j.landurbplan.2024.105205", "doi": "10.1016/j.landurbplan.2024.105205", "title": "Urban Sprawl and Routing: A Comparative Study on 156 European Cities", "year": 2025, "authors": [ "Rosati R.M." ], "first_author": "Rosati R.M.", "venue": "Landscape and Urban Planning", "volume": "253", "pages": null, "type": "Article", "language": null, "abstract": null, "keywords": [], "cited_by_openalex": 0, "cited_by_scopus": "18", "eid": "2-s2.0-85206090657", "pii": "S0169204624002044", "open_access_url": null, "sources": [ { "db": "scopus", "stream": "TRUCK", "query_id": "TRUCK-2" } ], "streams": [ "TRUCK" ], "relevance_signals": [ "NO_TECHNOLOGY_MATCH" ], "auto_exclude_reason": "EC-4-topic", "screening_status": "auto_excluded", "screened_by": "auto-v1.0.0" }, { "id": "doi:10.1016/j.cie.2025.111001", "doi": "10.1016/j.cie.2025.111001", "title": "Combining autonomous delivery robots and traditional vehicles with public transportation infrastructure in last-mile distribution", "year": 2025, "authors": [ "Gianpaolo Ghiani", "Emanuela Guerriero", "Emanuele Manni", "Deborah Pareo" ], "first_author": "Gianpaolo Ghiani", "venue": "Computers & Industrial Engineering", "volume": "203", "pages": null, "type": "article", "language": "en", "abstract": "The recent boom of e-commerce and the resulting concern about emissions increase are promoting the development of alternative paradigms for last-mile delivery, involving greener vehicles, such as air drones and autonomous delivery robots, which are also less sensitive to traffic congestion. In this paper, we study a last-mile distribution problem in which a heterogeneous fleet composed of both traditional vehicles and autonomous delivery robots is used to service a large number of customer requests in an urban area. The delivery robots use stations of the public transportation network as their depots. The problem amounts to building both van and delivery-robot routes in such a way as to minimize the distribution cost, meeting the constraints imposed by the different ranges and capacities of both vehicles. At the same time, another decision involves choosing at which stations of the public transportation network the delivery robots are based. For this purpose, we develop two variants of a matheuristic scheme based on the solution of a hybrid set-partitioning and location-based model. We perform thorough computational experiments on instances inspired by the problem of distributing drugs to pharmacies in the urban area of Rome (Italy) and show that, when the instance size grows, the proposed solution approach allows us to obtain significant cost reductions compared to both a straightforward solution of a mathematical model and a classical metaheuristic scheme. In addition, we show that combining autonomous delivery robots with traditional vehicles allows us to achieve important cost and emission reductions with respect to a traditional delivery scheme.", "keywords": [ "Last mile (transportation)", "Mile", "Transport engineering", "Robot", "Public transport", "Distribution (mathematics)", "Transportation infrastructure", "Engineering", "Business", "Computer science", "Geography", "Artificial intelligence" ], "cited_by_openalex": 21, "cited_by_scopus": "17", "eid": "2-s2.0-85218875836", "pii": "S0360835225001470", "open_access_url": "https://doi.org/10.1016/j.cie.2025.111001", "sources": [ { "db": "openalex", "stream": "UAV", "query_id": "UAV-1" }, { "db": "scopus", "stream": "UAV", "query_id": "UAV-1" }, { "db": "scopus", "stream": "UAV", "query_id": "UAV-2" } ], "streams": [ "UAV" ], "relevance_signals": [ "UAV" ], "auto_exclude_reason": null, "screening_status": "pending_human_screening", "screened_by": "auto-v1.0.0" }, { "id": "doi:10.30574/wjarr.2025.25.2.0214", "doi": "10.30574/wjarr.2025.25.2.0214", "title": "Artificial Intelligence in Logistics and Distribution: The function of AI in dynamic route planning for transportation, including self-driving trucks and drone delivery systems", "year": 2025, "authors": [ "Yetunde Adeoye", "Erumusele Francis Onotole", "Tunde Ogunyankinnu", "Godwin Aipoh", "Akintunde Akinyele Osunkanmibi", "JOSEPH EGBEMHENGHE" ], "first_author": "Yetunde Adeoye", "venue": "World Journal of Advanced Research and Reviews", "volume": null, "pages": null, "type": "article", "language": "en", "abstract": "Artificial Intelligence (AI) is revolutionizing logistics and distribution by enhancing efficiency, reducing costs, and improving the overall delivery experience. One of the key applications of AI in this sector is dynamic route optimization, where machine learning algorithms analyze real-time data such as traffic patterns, weather conditions, and road closures to continuously adjust delivery routes. This reduces fuel consumption, optimizes delivery times, and mitigates operational disruptions. In parallel, autonomous delivery systems, including drones and self-driving trucks, are transforming last-mile and long-haul transportation by minimizing human intervention and increasing speed and reliability. AI-powered autonomous delivery systems leverage advanced technologies such as computer vision, sensors, and machine learning to navigate and make real-time decisions. Drones, for example, are already being utilized for time-sensitive deliveries, especially in remote or underserved areas, while self-driving trucks promise to revolutionize long-haul freight transportation with the potential for 24/7 operation, cost reduction, and increased safety. Despite the clear benefits, challenges such as regulatory frameworks, safety concerns, and public acceptance remain as significant barriers to large-scale adoption. This review explores the role of AI in dynamic route optimization, drones, and self-driving trucks within logistics, providing insights into how these technologies are currently being implemented and the challenges that lie ahead. It further discusses the potential for AI to reshape the future of logistics and transportation by driving innovation in automation, reducing operational inefficiencies, and contributing to the development of smarter, more sustainable supply chains. The future of AI in logistics promises a more integrated, cost-effective, and agile system that can adapt to global challenges and evolving consumer demands.", "keywords": [ "Truck", "Drone", "Function (biology)", "Transport engineering", "Self driving", "Computer science", "Route planning", "Engineering", "Aerospace engineering" ], "cited_by_openalex": 17, "cited_by_scopus": 0, "eid": null, "pii": null, "open_access_url": "https://journalwjarr.com/sites/default/files/fulltext_pdf/WJARR-2025-0214.pdf", "sources": [ { "db": "openalex", "stream": "UAV", "query_id": "UAV-1" } ], "streams": [ "UAV" ], "relevance_signals": [ "UAV", "TRUCK" ], "auto_exclude_reason": null, "screening_status": "pending_human_screening", "screened_by": "auto-v1.0.0" }, { "id": "doi:10.1016/j.tre.2025.104412", "doi": "10.1016/j.tre.2025.104412", "title": "Urban food delivery service optimisation with coordinated delivery riders and drones", "year": 2025, "authors": [ "Mingzhi Lyu", "Wei Liu", "Qingying He", "Lingxiao Wu" ], "first_author": "Mingzhi Lyu", "venue": "Transportation Research Part E Logistics and Transportation Review", "volume": "204", "pages": null, "type": "article", "language": "en", "abstract": "Online food delivery platforms like Meituan and Foodpanda are paying increasing attention to integrating drone technology into existing delivery service networks to enhance the efficiency and flexibility of their operations. However, existing drone-assisted delivery models are primarily designed for parcel delivery, which cannot be directly used for the food delivery market with coordinated delivery riders and drones. To address this challenge, we investigate a one-to-one Pickup and Delivery Problem with multi-riders and multi-drones (PDP-mR-mD) for the urban food delivery market. The studied problem involves coordinated riders and drones with package transhipment and synchronisation permitted at docking hubs. Pickup and delivery of a food package can be fulfilled by either a rider or a drone independently or in cooperation while considering constraints of time window, payload capacity, battery endurance, and location accessibility. In particular, an arc-based mixed integer linear programming model is developed for the studied problem. An exact branch-and-price algorithm is developed by decomposing the arc-based model into a path-based master problem with two resource-constrained pricing sub-problems, where synchronised package transhipment at docking hubs is established through the branching scheme. An Adaptive Large Neighbourhood Search (ALNS) algorithm has also been designed to solve large-scale instances. The efficiency and effectiveness of the proposed solution approaches and the potential benefits of coordinated delivery systems are verified and illustrated through small-scale instances and large-scale case studies.", "keywords": [ "Drone", "Food delivery", "Service (business)", "Service delivery framework", "Service quality", "Service provider" ], "cited_by_openalex": 15, "cited_by_scopus": "17", "eid": "2-s2.0-105016313820", "pii": "S1366554525004533", "open_access_url": "https://doi.org/10.1016/j.tre.2025.104412", "sources": [ { "db": "openalex", "stream": "UAV", "query_id": "UAV-1" }, { "db": "scopus", "stream": "UAV", "query_id": "UAV-1" } ], "streams": [ "UAV" ], "relevance_signals": [ "UAV" ], "auto_exclude_reason": null, "screening_status": "pending_human_screening", "screened_by": "auto-v1.0.0" }, { "id": "doi:10.1016/j.cor.2024.106963", "doi": "10.1016/j.cor.2024.106963", "title": "Transportation and carbon emissions costs minimization for time-dependent vehicle routing problem with drones", "year": 2025, "authors": [ "Yong Peng", "Zhi Ren", "Dennis Z. Yu", "Yonghui Zhang" ], "first_author": "Yong Peng", "venue": "Computers & Operations Research", "volume": "176", "pages": null, "type": "article", "language": "en", "abstract": null, "keywords": [ "Drone", "Vehicle routing problem", "Minification", "Computer science", "Routing (electronic design automation)", "Operations research", "Mathematical optimization", "Environmental science", "Transport engineering", "Mathematics", "Computer network", "Engineering" ], "cited_by_openalex": 18, "cited_by_scopus": "17", "eid": "2-s2.0-85214348252", "pii": "S0305054824004350", "open_access_url": "https://doi.org/10.1016/j.cor.2024.106963", "sources": [ { "db": "openalex", "stream": "UAV", "query_id": "UAV-2" }, { "db": "scopus", "stream": "UAV", "query_id": "UAV-2" } ], "streams": [ "UAV" ], "relevance_signals": [ "UAV_NO_CTX" ], "auto_exclude_reason": "EC-4-topic", "screening_status": "auto_excluded", "screened_by": "auto-v1.0.0" }, { "id": "doi:10.1016/j.trc.2025.105322", "doi": "10.1016/j.trc.2025.105322", "title": "Dynamic truck-drone collaborative transportation during hurricanes", "year": 2025, "authors": [ "Keyu Li", "Haipeng Cui", "Qiang Meng", "Xuxin Zhang" ], "first_author": "Keyu Li", "venue": "Transportation Research Part C Emerging Technologies", "volume": "180", "pages": null, "type": "article", "language": "en", "abstract": null, "keywords": [ "Drone", "Truck", "Aeronautics", "Transport engineering", "Engineering", "Poison control", "Computer science", "Aerospace engineering", "Medical emergency", "Medicine" ], "cited_by_openalex": 16, "cited_by_scopus": "17", "eid": "2-s2.0-105014284171", "pii": "S0968090X25003262", "open_access_url": "https://doi.org/10.1016/j.trc.2025.105322", "sources": [ { "db": "openalex", "stream": "UAV", "query_id": "UAV-2" }, { "db": "scopus", "stream": "UAV", "query_id": "UAV-2" } ], "streams": [ "UAV" ], "relevance_signals": [ "UAV_NO_CTX", "TRUCK_NO_CTX" ], "auto_exclude_reason": "EC-4-topic", "screening_status": "auto_excluded", "screened_by": "auto-v1.0.0" }, { "id": "doi:10.1109/tits.2025.3553817", "doi": "10.1109/tits.2025.3553817", "title": "Utilizing eVTOL Aircraft to Alleviate Traffic Congestion on an Arterial Road", "year": 2025, "authors": [ "Bang-Kai Xiong", "Rui Jiang", "Kai Wang", "Xinmin Tang", "Ying Feng Shang", "Xiaobo Qu" ], "first_author": "Bang-Kai Xiong", "venue": "IEEE Transactions on Intelligent Transportation Systems", "volume": "26", "pages": "10415-10427", "type": "article", "language": "en", "abstract": "The development of electric vertical takeoff and landing (eVTOL) aircrafts promotes the prosperity of Urban Air Mobility (UAM). While numerous efforts have been made on UAM, little was focusing on the integrated operation of UAM and ground transportation system. This paper thus investigated how to alleviate traffic congestion on an arterial road with a bottleneck via using eVTOL aircrafts to transfer passengers upstream the bottleneck to downstream. The location, opening and closing time of the vertiports and the transfer ratio of the passengers are optimized with the objective of minimizing the average monetary cost, which is an integrated evaluation value converted by the electricity consumption, travel time and vertiport operating cost. Based on this, an optimization model is constructed and Dividing RECTangles algorithm is adopted to solve it using the simulation module as a subroutine. Simulation results show that the proposed method is capable of reducing average monetary cost and average travel time. Moreover, due to the differences in salaries and electricity prices, the departure vertiport in U.S. case should be positioned as close to the upstream as possible, while in China it is the opposite. More importantly, we found that the successful implementation of the proposed method requires the ride-sharing service provider to arrange the travel plan in a unified manner because of the higher cost of transferred passengers. This research pioneers a novel UAM-based method to alleviate traffic congestion on an arterial road, setting the stage for the full exploitation of UAM capabilities to reduce ground traffic congestion.", "keywords": [ "Transport engineering", "Aeronautics", "Traffic congestion", "Road traffic", "Computer science", "Automotive engineering", "Engineering" ], "cited_by_openalex": 18, "cited_by_scopus": "17", "eid": "2-s2.0-105002581727", "pii": null, "open_access_url": "https://doi.org/10.1109/tits.2025.3553817", "sources": [ { "db": "openalex", "stream": "UAV", "query_id": "UAV-3" }, { "db": "scopus", "stream": "UAV", "query_id": "UAV-3" } ], "streams": [ "UAV" ], "relevance_signals": [ "UAV_NO_CTX" ], "auto_exclude_reason": "EC-4-topic", "screening_status": "auto_excluded", "screened_by": "auto-v1.0.0" }, { "id": "doi:10.1016/j.ejor.2024.10.047", "doi": "10.1016/j.ejor.2024.10.047", "title": "A two-echelon multi-trip vehicle routing problem with synchronization for an integrated water- and land-based transportation system", "year": 2025, "authors": [ "Karademir C." ], "first_author": "Karademir C.", "venue": "European Journal of Operational Research", "volume": "322", "pages": "480-499", "type": "Article", "language": null, "abstract": null, "keywords": [], "cited_by_openalex": 0, "cited_by_scopus": "17", "eid": "2-s2.0-85209241093", "pii": "S0377221724008506", "open_access_url": null, "sources": [ { "db": "scopus", "stream": "TRUCK", "query_id": "TRUCK-1" }, { "db": "scopus", "stream": "TRUCK", "query_id": "TRUCK-2" } ], "streams": [ "TRUCK" ], "relevance_signals": [ "NO_TECHNOLOGY_MATCH" ], "auto_exclude_reason": "EC-4-topic", "screening_status": "auto_excluded", "screened_by": "auto-v1.0.0" }, { "id": "doi:10.1016/j.eswa.2024.126218", "doi": "10.1016/j.eswa.2024.126218", "title": "A matheuristic solution for efficient scheduling in dynamic truck–drone collaboration", "year": 2025, "authors": [ "Zhao J." ], "first_author": "Zhao J.", "venue": "Expert Systems with Applications", "volume": "267", "pages": null, "type": "Article", "language": null, "abstract": null, "keywords": [], "cited_by_openalex": 0, "cited_by_scopus": "17", "eid": "2-s2.0-85213062882", "pii": "S0957417424030859", "open_access_url": null, "sources": [ { "db": "scopus", "stream": "UAV", "query_id": "UAV-2" } ], "streams": [ "UAV" ], "relevance_signals": [ "UAV_NO_CTX", "TRUCK_NO_CTX" ], "auto_exclude_reason": "EC-4-topic", "screening_status": "auto_excluded", "screened_by": "auto-v1.0.0" }, { "id": "doi:10.3390/drones9070512", "doi": "10.3390/drones9070512", "title": "A Bi-Layer Collaborative Planning Framework for Multi-UAV Delivery Tasks in Multi-Depot Urban Logistics", "year": 2025, "authors": [ "Junfu Wen", "Fei Wang", "Yebo Su" ], "first_author": "Junfu Wen", "venue": "Drones", "volume": "9", "pages": null, "type": "article", "language": "en", "abstract": "To address the modeling complexity and multi-objective collaborative optimization challenges in multi-depot and multiple unmanned aerial vehicle (UAV) delivery task planning, this paper proposes a bi-layer planning framework, which comprehensively considers resource constraints, multi-depot coordination, and the coupling characteristics of path execution. The novelty of this work lies in the seamless integration of an enhanced genetic algorithm and tailored swarm optimization within a unified two-tier architecture. The upper layer tackles the task assignment problem by formulating a multi-objective optimization model aimed at minimizing economic costs, delivery delays, and the number of UAVs deployed. The Enhanced Non-Dominated Sorting Genetic Algorithm II (ENSGA-II) is developed, incorporating heuristic initialization, goal-oriented search operators, an adaptive mutation mechanism, and a staged evolution control strategy to improve solution feasibility and distribution quality. The main contributions are threefold: (1) a novel ENSGA-II design for efficient and well-distributed task allocation; (2) an improved PSO-based path planner with chaotic initialization and adaptive parameters; and (3) comprehensive validation demonstrating substantial gains over baseline methods. The lower layer addresses the path planning problem by establishing a multi-objective model that considers path length, flight risk, and altitude variation. An improved particle swarm optimization (PSO) algorithm is proposed by integrating chaotic initialization, linearly adjusted acceleration coefficients and maximum velocity, a stochastic disturbance-based position update mechanism, and an adaptively tuned inertia weight to enhance algorithmic performance and path generation quality. Simulation results under typical task scenarios demonstrate that the proposed model achieves an average reduction of 47.8% in economic costs and 71.4% in UAV deployment quantity while significantly reducing delivery window violations. The framework exhibits excellent capability in multi-objective collaborative optimization. The ENSGA-II algorithm outperforms baseline algorithms significantly across performance metrics, achieving a hypervolume (HV) value of 1.0771 (improving by 72.35% to 109.82%) and an average inverted generational distance (IGD) of 0.0295, markedly better than those of comparison algorithms (ranging from 0.0893 to 0.2714). The algorithm also demonstrates overwhelming superiority in the C-metric, indicating outstanding global optimization capability in terms of distribution, convergence, and the diversity of the solution set. Moreover, the proposed framework and algorithm are both effective and feasible, offering a novel approach to low-altitude urban logistics delivery problems.", "keywords": [ "Depot", "City logistics", "Layer (electronics)", "Computer science", "Transport engineering", "Process management", "Business", "Engineering", "Materials science", "Nanotechnology", "Geography" ], "cited_by_openalex": 12, "cited_by_scopus": "16", "eid": "2-s2.0-105011662793", "pii": null, "open_access_url": "https://doi.org/10.3390/drones9070512", "sources": [ { "db": "openalex", "stream": "UAV", "query_id": "UAV-1" }, { "db": "scopus", "stream": "UAV", "query_id": "UAV-1" } ], "streams": [ "UAV" ], "relevance_signals": [ "UAV" ], "auto_exclude_reason": null, "screening_status": "pending_human_screening", "screened_by": "auto-v1.0.0" }, { "id": "doi:10.3390/drones9070501", "doi": "10.3390/drones9070501", "title": "A Two-Stage Optimization Framework for UAV Fleet Sizing and Task Allocation in Emergency Logistics Using the GWO and CBBA", "year": 2025, "authors": [ "Yongchao Zhang", "Wei Xu", "Hongchen Ye", "Zhuoyong Shi" ], "first_author": "Yongchao Zhang", "venue": "Drones", "volume": "9", "pages": null, "type": "article", "language": "en", "abstract": "The joint optimization of fleet size and task allocation presents a critical challenge in deploying Unmanned Aerial Vehicles (UAVs) for time-sensitive missions such as emergency logistics. Conventional approaches often rely on pre-determined fleet sizes or computationally intensive centralized optimizers, which can lead to suboptimal performance. To address this gap, this paper proposes a novel two-stage hierarchical framework that integrates the Grey Wolf Optimizer (GWO) with the Consensus-Based Bundle Algorithm (CBBA). At the strategic level, the GWO determines the optimal number of UAVs by minimizing a comprehensive cost function that balances mission efficiency and operational costs. Subsequently, at the tactical level, the CBBA performs decentralized, real-time task allocation for the optimally sized fleet. We validated our GWO-CBBA framework through extensive simulations against three benchmarks: a standard CBBA with a fixed fleet, a centralized Particle Swarm Optimization (PSO) approach, and a Greedy Heuristic algorithm. The results are compelling: our framework demonstrates superior performance across all key metrics, reducing the overall scheduling cost by 13.2–36.5%, minimizing UAV mileage cost and significantly decreasing total task waiting time. This work provides a robust and efficient solution that effectively balances operational costs with service quality for dynamic multi-UAV scheduling problems.", "keywords": [ "Sizing", "Computer science", "Scheduling (production processes)", "Particle swarm optimization", "Key (lock)", "Operations research", "Mathematical optimization", "Engineering", "Operations management" ], "cited_by_openalex": 17, "cited_by_scopus": "16", "eid": "2-s2.0-105011601722", "pii": null, "open_access_url": "https://www.mdpi.com/2504-446X/9/7/501/pdf?version=1752677722", "sources": [ { "db": "openalex", "stream": "UAV", "query_id": "UAV-2" }, { "db": "scopus", "stream": "UAV", "query_id": "UAV-2" } ], "streams": [ "UAV" ], "relevance_signals": [ "UAV_NO_CTX" ], "auto_exclude_reason": "EC-4-topic", "screening_status": "auto_excluded", "screened_by": "auto-v1.0.0" }, { "id": "doi:10.1016/j.commtr.2025.100186", "doi": "10.1016/j.commtr.2025.100186", "title": "A sustainable multi-objective framework for multi-phased, capacitated vertiport siting with land use integration", "year": 2025, "authors": [ "Hao Wu", "Shahriar Iqbal Zame", "Tao Guo", "Qing-Long Lu", "Constantinos Antoniou" ], "first_author": "Hao Wu", "venue": "Communications in Transportation Research", "volume": "5", "pages": null, "type": "article", "language": "en", "abstract": "This research presents a multi-objective optimization framework for incremental siting of capacitated vertiports that integrates real land use data and aims to maximize generalized cost savings while minimizing infrastructure costs and emissions. The multi-phased siting framework uniquely facilitates the gradual evolution of Urban Air Mobility (UAM) operations from initial electric vertical takeoff and landing vehicles (eVTOLs) to more advanced modular flying vehicles (MFVs). This phased technological progression provides a practical pathway toward fully operational flying cars while ensuring feasible infrastructure adaptability across these transitions. Applied to the Munich metropolitan area, the framework demonstrates that multi-phased siting, particularly a 4-phased strategy, yielding about 1.315 × 10 5 euros higher daily net profits. Specifically, compared to base single-phased approach, the 4-phased strategy delivers substantial marginal improvements across key metrics for an exemplary operating day: 1.3 × 10 4 euros in generalized travel cost savings, 15 t in emissions reductions, and a 0.9% increase in UAM mode share. Beyond four phases, the benefits diminish relative to increased complexity. A full factorial analysis examining capacity constraints and infrastructure costs reveals that ignoring either factor leads to impractical outcomes-unconstrained capacity results in demand exceeding 60-fold capacity, while disregarding infrastructure costs generates negative net profits due to overinvestment. The analysis identifies an optimal infrastructure cost subsidy range of 20%–40%, balancing performance gains with economic sustainability. These findings enable integrated planning that effectively balances operational efficiency, system-wide environmental externalities, and economic viability through optimized cost allocation and phased investment strategies.", "keywords": [ "Land use", "Environmental planning", "Computer science", "Environmental resource management", "Environmental science", "Civil engineering", "Engineering" ], "cited_by_openalex": 16, "cited_by_scopus": "16", "eid": "2-s2.0-105008319738", "pii": "S2772424725000265", "open_access_url": "https://doi.org/10.1016/j.commtr.2025.100186", "sources": [ { "db": "openalex", "stream": "UAV", "query_id": "UAV-3" }, { "db": "scopus", "stream": "UAV", "query_id": "UAV-3" } ], "streams": [ "UAV" ], "relevance_signals": [ "UAV_NO_CTX" ], "auto_exclude_reason": "EC-4-topic", "screening_status": "auto_excluded", "screened_by": "auto-v1.0.0" }, { "id": "doi:10.1109/tcomm.2025.3593615", "doi": "10.1109/tcomm.2025.3593615", "title": "Learning-Based Energy-Efficient Anti-Jamming FANET Routing With QoS Guarantee", "year": 2025, "authors": [ "Li J." ], "first_author": "Li J.", "venue": "IEEE Transactions on Communications", "volume": "73", "pages": "11418-11431", "type": "Article", "language": null, "abstract": null, "keywords": [], "cited_by_openalex": 0, "cited_by_scopus": "16", "eid": "2-s2.0-105012449534", "pii": null, "open_access_url": null, "sources": [ { "db": "scopus", "stream": "UAV", "query_id": "UAV-2" } ], "streams": [ "UAV" ], "relevance_signals": [ "NO_TECHNOLOGY_MATCH" ], "auto_exclude_reason": "EC-4-topic", "screening_status": "auto_excluded", "screened_by": "auto-v1.0.0" }, { "id": "doi:10.1016/j.tre.2025.104087", "doi": "10.1016/j.tre.2025.104087", "title": "Assessing the resilience of urban truck transport networks under the COVID-19 pandemic: A case study of China", "year": 2025, "authors": [ "Yitao Yang", "Erjian Liu", "Yan Chen", "Xin Meng", "Ting Wang", "Hui Wang", "Danyue Zhi", "Dongdong Song", "Hao Wang" ], "first_author": "Yitao Yang", "venue": "Transportation Research Part E Logistics and Transportation Review", "volume": "197", "pages": null, "type": "article", "language": "en", "abstract": null, "keywords": [ "Coronavirus disease 2019 (COVID-19)", "Truck", "Pandemic", "2019-20 coronavirus outbreak", "China", "Resilience (materials science)", "Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2)", "Transport engineering", "Business", "Geography", "Engineering", "Virology" ], "cited_by_openalex": 16, "cited_by_scopus": "15", "eid": "2-s2.0-105000210021", "pii": "S1366554525001280", "open_access_url": "https://doi.org/10.1016/j.tre.2025.104087", "sources": [ { "db": "openalex", "stream": "TRUCK", "query_id": "TRUCK-1" }, { "db": "scopus", "stream": "TRUCK", "query_id": "TRUCK-1" } ], "streams": [ "TRUCK" ], "relevance_signals": [ "TRUCK_NO_CTX" ], "auto_exclude_reason": "EC-4-topic", "screening_status": "auto_excluded", "screened_by": "auto-v1.0.0" }, { "id": "doi:10.1016/j.cor.2025.107104", "doi": "10.1016/j.cor.2025.107104", "title": "A branch-price-and-cut algorithm for the time-dependent multiple truck–drone routing problem", "year": 2025, "authors": [ "Xiaoning Zang", "Li Jiang", "Changyong Liang", "Xiang Fang" ], "first_author": "Xiaoning Zang", "venue": "Computers & Operations Research", "volume": "182", "pages": null, "type": "article", "language": "en", "abstract": null, "keywords": [ "Drone", "Truck", "Routing (electronic design automation)", "Computer science", "Vehicle routing problem", "Branch and price", "Branch and cut", "Routing algorithm", "Mathematical optimization", "Algorithm", "Integer programming", "Mathematics" ], "cited_by_openalex": 12, "cited_by_scopus": "15", "eid": "2-s2.0-105004881874", "pii": "S0305054825001327", "open_access_url": "https://doi.org/10.1016/j.cor.2025.107104", "sources": [ { "db": "openalex", "stream": "TRUCK", "query_id": "TRUCK-1" }, { "db": "openalex", "stream": "UAV", "query_id": "UAV-1" }, { "db": "openalex", "stream": "UAV", "query_id": "UAV-2" }, { "db": "scopus", "stream": "TRUCK", "query_id": "TRUCK-1" }, { "db": "scopus", "stream": "UAV", "query_id": "UAV-1" }, { "db": "scopus", "stream": "UAV", "query_id": "UAV-2" } ], "streams": [ "TRUCK", "UAV" ], "relevance_signals": [ "UAV_NO_CTX", "TRUCK_NO_CTX" ], "auto_exclude_reason": "EC-4-topic", "screening_status": "auto_excluded", "screened_by": "auto-v1.0.0" }, { "id": "doi:10.1016/j.geits.2025.100310", "doi": "10.1016/j.geits.2025.100310", "title": "A comparative review of user acceptance factors for drones and sidewalk robots in autonomous last mile delivery", "year": 2025, "authors": [ "Didem Cicek", "Burak Kantarcı", "S. Schillo" ], "first_author": "Didem Cicek", "venue": "Green Energy and Intelligent Transportation", "volume": "4", "pages": null, "type": "article", "language": "en", "abstract": "Autonomous delivery technologies play a pivotal role in meeting the high expectations of customers while addressing the sustainability challenges posed by last-mile delivery traffic, particularly in urban areas. Over the past five years, research on user acceptance of these groundbreaking technologies has surged. This paper represents the first comprehensive review that consolidates and compares user acceptance factors related to deliveries by drones and sidewalk robots, drawing from global questionnaire-based studies. Our research reveals some common factors that consistently influence user acceptance for both drone and sidewalk robot deliveries and also sheds light on technology-specific acceptance factors. However, it's important to recognize that some of these factors may vary depending on the demographics and location of the studies conducted. Our findings intend to provide managerial insights to technology and policy makers, enabling strategic planning for the adoption of these innovative technologies. • First comprehensive review comparing user acceptance of drone and robot deliveries based on studies from the past five years. • Identifying common factors that consistently influence user acceptance for both drone and sidewalk robot deliveries. • Presenting opportunities to reduce environmental impact and improve cost efficiency in the delivery sector. • Discussing mainstream user acceptance theories, which guide the empirical studies on user acceptance of autonomous last mile delivery. • Managerial insights for technology developers and policymakers to aid in strategic planning for the adoption of autonomous delivery technologies.", "keywords": [ "Drone", "Mile", "Last mile (transportation)", "Robot", "Computer science", "Engineering", "Aeronautics", "Human–computer interaction", "Transport engineering", "Geography", "Artificial intelligence" ], "cited_by_openalex": 14, "cited_by_scopus": "15", "eid": "2-s2.0-105004925169", "pii": "S277315372500060X", "open_access_url": "https://doi.org/10.1016/j.geits.2025.100310", "sources": [ { "db": "openalex", "stream": "UAV", "query_id": "UAV-1" }, { "db": "scopus", "stream": "UAV", "query_id": "UAV-1" } ], "streams": [ "UAV" ], "relevance_signals": [ "UAV" ], "auto_exclude_reason": null, "screening_status": "pending_human_screening", "screened_by": "auto-v1.0.0" }, { "id": "doi:10.1109/tro.2025.3629808", "doi": "10.1109/tro.2025.3629808", "title": "Efficient Routing for Multitruck Multidrone Package Delivery With Precedence Constraints", "year": 2025, "authors": [ "Xiaoshan Bai", "Baode Li", "Jianqiang Li", "Zongze Wu", "Weidong Zhang", "Shuzhi Sam Ge" ], "first_author": "Xiaoshan Bai", "venue": "IEEE Transactions on Robotics", "volume": "41", "pages": "6514-6528", "type": "article", "language": null, "abstract": "As the demand for efficient parcel delivery continues to grow in the logistics industry, optimizing multi-robot task assignment has become crucial for enhancing overall delivery performance. This paper addresses the precedence-constrained multi-truck multi-drone package delivery task assignment problem, where each truck coordinates with a drone to serve multiple dispersed customers under precedence constraints that specify the required order of service. While trucks deliver packages to designated customers, drones can simultaneously serve other customers, subject to their limited flight endurance and payload capacity. To tackle this challenge, a three-phase heuristic algorithm is proposed to minimize the total delivery time required to serve the last customer while ensuring all precedence constraints are satisfied. In the first phase, an extended minimum marginal cost algorithm is applied to quickly construct truck-only routes that comply with precedence constraints. In the second phase, a splitting algorithm combined with an endurance checking procedure is employed to generate hybrid truck–drone routes considering drone limitations. In the final phase, a variable neighborhood descent approach is introduced to further improve the solution by strategically perturbing the truck-only routes. Extensive simulations and experiments demonstrate that the proposed three-phase heuristic algorithm consistently achieves higher-quality solutions with reduced computation time compared with the widely used adaptive large neighborhood search method.", "keywords": [ "Drone", "Task (project management)", "Truck", "Routing (electronic design automation)", "Payload (computing)", "Heuristic", "Variable neighborhood search", "Computation", "Vehicle routing problem" ], "cited_by_openalex": 11, "cited_by_scopus": "15", "eid": "2-s2.0-105021093300", "pii": null, "open_access_url": "https://doi.org/10.1109/tro.2025.3629808", "sources": [ { "db": "openalex", "stream": "UAV", "query_id": "UAV-1" }, { "db": "scopus", "stream": "UAV", "query_id": "UAV-1" } ], "streams": [ "UAV" ], "relevance_signals": [ "UAV", "TRUCK" ], "auto_exclude_reason": null, "screening_status": "pending_human_screening", "screened_by": "auto-v1.0.0" }, { "id": "doi:10.1007/s10846-024-02209-w", "doi": "10.1007/s10846-024-02209-w", "title": "Cooperative Multi-Agent Planning Framework for Fuel Constrained UAV-UGV Routing Problem", "year": 2025, "authors": [ "Md Safwan Mondal", "R. Subramanian", "James D. Humann", "James M. Dotterweich", "Jean-Paul Reddinger", "Marshal Childers", "Pranav A. Bhounsule" ], "first_author": "Md Safwan Mondal", "venue": "Journal of Intelligent & Robotic Systems", "volume": "111", "pages": null, "type": "article", "language": "en", "abstract": "Unmanned Aerial Vehicles (UAVs), adept at aerial surveillance, are often constrained by their limited battery capacity. Refueling on slow-moving Unmanned Ground Vehicles (UGVs) can significantly enhance UAVs’ operational endurance. This paper explores the computationally complex problem of cooperative UAV-UGV routing for vast area surveillance, considering speed and fuel constraints. It presents a sequential multi-agent planning framework aimed at achieving feasible and optimally satisfactory solutions. By considering the UAV fuel limit and utilizing a minimum set cover algorithm, we determine UGV refueling stops. This, in turn, facilitates UGV route planning as the first step. Through a task allocation technique and energy-constrained vehicle routing problem modeling with time windows (E-VRPTW), we then achieve the UAV route in the second step of the framework. The effectiveness of our multi-agent strategy is demonstrated through the implementation on 30 different task scenarios across three different scales. This work provides significant insight into the collaborative advantages of UAV-UGV systems and introduces heuristic approaches to bypass computational challenges and swiftly reach high-quality solutions.", "keywords": [ "Routing (electronic design automation)", "Computer science", "Unmanned ground vehicle", "Distributed computing", "Mathematical optimization", "Operations research", "Engineering", "Artificial intelligence", "Computer network", "Mathematics" ], "cited_by_openalex": 13, "cited_by_scopus": "15", "eid": "2-s2.0-85217361522", "pii": null, "open_access_url": "https://link.springer.com/content/pdf/10.1007/s10846-024-02209-w.pdf", "sources": [ { "db": "openalex", "stream": "UAV", "query_id": "UAV-2" }, { "db": "scopus", "stream": "UAV", "query_id": "UAV-2" } ], "streams": [ "UAV" ], "relevance_signals": [ "UAV_NO_CTX" ], "auto_exclude_reason": "EC-4-topic", "screening_status": "auto_excluded", "screened_by": "auto-v1.0.0" }, { "id": "doi:10.3390/eng6050093", "doi": "10.3390/eng6050093", "title": "Vertiports: The Infrastructure Backbone of Advanced Air Mobility—A Review", "year": 2025, "authors": [ "Paola Di Mascio", "Giulia Del Serrone", "Laura Moretti" ], "first_author": "Paola Di Mascio", "venue": "Eng—Advances in Engineering", "volume": "6", "pages": null, "type": "article", "language": "en", "abstract": "Technological innovation toward electrification and digitalization is revolutionizing aviation, paving the way for new aeronautical paradigms and novel modes to transport goods and people in urban and regional environments. Advanced Air Mobility (AAM) leverages vertical and digital mobility, driven by safe, quiet, sustainable, and cost-effective electric vertical takeoff and landing (VTOL) aircraft. A key enabler of this transformation is the development of vertiports—dedicated infrastructure designed for VTOL operations. Vertiports are pivotal in integrating AAM into multimodal transport networks, ensuring seamless connectivity with existing urban and regional transportation systems. Their design, placement, and operational framework are central to the success of AAM, influencing urban accessibility, safety, and public acceptance. These facilities should accommodate passenger and cargo operations, incorporating charging stations, takeoff and landing areas, and optimized traffic management systems. Public and private sectors are investing in vertiports, shaping the regulatory and technological landscape for widespread adoption. As cities prepare for the future of aerial mobility, vertiports will be the cornerstone of sustainable, efficient, and scalable air transportation.", "keywords": [ "Computer science" ], "cited_by_openalex": 15, "cited_by_scopus": "15", "eid": "2-s2.0-105006699631", "pii": null, "open_access_url": "https://www.mdpi.com/2673-4117/6/5/93/pdf?version=1746011463", "sources": [ { "db": "openalex", "stream": "UAV", "query_id": "UAV-3" }, { "db": "scopus", "stream": "UAV", "query_id": "UAV-3" } ], "streams": [ "UAV" ], "relevance_signals": [ "UAV_NO_CTX" ], "auto_exclude_reason": "EC-4-topic", "screening_status": "auto_excluded", "screened_by": "auto-v1.0.0" }, { "id": "doi:10.1177/08854122251314481", "doi": "10.1177/08854122251314481", "title": "Decoding the Vertiport: Planning for Urban Air Mobility", "year": 2025, "authors": [ "Kerry Rohrmeier", "Wenbin Wei", "David Carl Ison" ], "first_author": "Kerry Rohrmeier", "venue": "Journal of Planning Literature", "volume": "41", "pages": "24-34", "type": "article", "language": "en", "abstract": "The potential of advanced air mobility (AAM) has recently been receiving a tremendous amount of attention in both the media and within the research literature. In particular, service in urban environments, referred to as urban air mobility (UAM), has received the overwhelming majority of focus. This nascent field, centered around electric vertical takeoff and landing flying vehicles (eVTOLs), is capturing imaginations and investments at an impressive pace. Yet, guidance on the siting and development of vertiports, the interface between ground transit and UAM, is trailing the pace of the forthcoming service. Vertiports are expected to operate like bus stops, transit stations, helipads, and airports. Still, this new public transportation infrastructure has the potential to dramatically alter the urban landscape due to their space requirements, safety requirements, and pace of low-altitude flight operations. Therefore, current and long-range plans must acknowledge this potential, and planning stakeholders must utilize participatory geographic information systems (GIS) to select safe, efficient, and accessible locations for vertiports to ensure future capital investment. Because of its unique attributes and requirements, the site selection process for UAM infrastructure demands a unique perspective that varies from the planning criteria for traditional transit hubs. This article summarizes the current UAM literature and offers stakeholders an informed yet simple workflow process for urban, suburban, and exurban site suitability selection that can be implemented during preliminary community engagement and early master planning processes. An example case in which this workflow was applied is provided using the San Francisco Bay Area as recent literature has shown this area to be a prime candidate for a UAM transportation network of vertiport locations being integrated into a regional multi-modal transit system.", "keywords": [ "Urban planning", "Decoding methods", "Transport engineering", "Computer science", "Telecommunications", "Environmental planning", "Environmental science", "Engineering", "Civil engineering" ], "cited_by_openalex": 10, "cited_by_scopus": "15", "eid": "2-s2.0-85217170189", "pii": null, "open_access_url": "https://doi.org/10.1177/08854122251314481", "sources": [ { "db": "openalex", "stream": "UAV", "query_id": "UAV-3" }, { "db": "scopus", "stream": "UAV", "query_id": "UAV-3" } ], "streams": [ "UAV" ], "relevance_signals": [ "UAV_NO_CTX" ], "auto_exclude_reason": "EC-4-topic", "screening_status": "auto_excluded", "screened_by": "auto-v1.0.0" }, { "id": "doi:10.1016/j.tre.2025.104191", "doi": "10.1016/j.tre.2025.104191", "title": "An intelligent multi-agent system for last-mile logistics", "year": 2025, "authors": [ "Kahalimoghadam M." ], "first_author": "Kahalimoghadam M.", "venue": "Transportation Research Part E Logistics and Transportation Review", "volume": "200", "pages": null, "type": "Article", "language": null, "abstract": null, "keywords": [], "cited_by_openalex": 0, "cited_by_scopus": "15", "eid": "2-s2.0-105005506492", "pii": "S1366554525002327", "open_access_url": null, "sources": [ { "db": "scopus", "stream": "TRUCK", "query_id": "TRUCK-1" } ], "streams": [ "TRUCK" ], "relevance_signals": [ "NO_TECHNOLOGY_MATCH" ], "auto_exclude_reason": "EC-4-topic", "screening_status": "auto_excluded", "screened_by": "auto-v1.0.0" }, { "id": "doi:10.1139/dsa-2024-0068", "doi": "10.1139/dsa-2024-0068", "title": "Framework for truck–RPAS hybrid models in last-mile delivery", "year": 2025, "authors": [ "Armin Mahmoodi", "Leila Hashemi", "Jeremy F. Laliberté" ], "first_author": "Armin Mahmoodi", "venue": "Drone Systems and Applications", "volume": "13", "pages": null, "type": "article", "language": "en", "abstract": "This study develops a hybrid optimization framework integrating remotely piloted aircraft systems (RPASs) with conventional truck delivery networks to enhance last-mile logistics efficiency. To balance operating cost, service time, regulatory risk, and energy usage, a novel multi-objective mixed-integer linear programming model is developed. High-quality Pareto-optimal solutions are produced by the non-dominated sorting genetic algorithm II, which methodically manages trade-offs between the conflicting goals. Risk assessment is embedded using specific operations risk assessment principles, and energy consumption is optimized through dynamic battery management strategies for RPASs. Extensive computational experiments demonstrate that the proposed hybrid truck–RPAS system achieves notable operational improvements compared to traditional truck-only models. The model yields an 8.3% reduction in operational costs, an 8.6% decrease in delivery time, an 11.2% reduction in cumulative risk indices, and a 9.4% decrease in overall battery usage. Convergence analysis and scalability evaluation further confirm the robustness and practical viability of the proposed solution approach. By integrating regulatory compliance, energy sustainability, and operational resilience, this research provides a scalable and adaptable framework for the effective deployment of RPAS technologies in urban logistics systems, addressing key challenges of modern supply chains and supporting future sustainable transportation initiatives.", "keywords": [ "Truck", "Mile", "Last mile (transportation)", "Environmental science", "Computer science", "Transport engineering", "Engineering", "Automotive engineering", "Geography" ], "cited_by_openalex": 15, "cited_by_scopus": "14", "eid": "2-s2.0-105014720770", "pii": null, "open_access_url": "https://doi.org/10.1139/dsa-2024-0068", "sources": [ { "db": "openalex", "stream": "TRUCK", "query_id": "TRUCK-1" }, { "db": "scopus", "stream": "TRUCK", "query_id": "TRUCK-1" } ], "streams": [ "TRUCK" ], "relevance_signals": [ "TRUCK" ], "auto_exclude_reason": null, "screening_status": "pending_human_screening", "screened_by": "auto-v1.0.0" }, { "id": "doi:10.1016/j.enconman.2025.119916", "doi": "10.1016/j.enconman.2025.119916", "title": "Conversion of an existing diesel depot into an on-site hydrogen refuelling station for heavy-duty vehicles: A multi-objective optimisation", "year": 2025, "authors": [ "Antonio Sgaramella", "Lorenzo Mario Pastore", "Gianluigi Lo Basso", "Livio de Santoli" ], "first_author": "Antonio Sgaramella", "venue": "Energy Conversion and Management", "volume": "337", "pages": null, "type": "article", "language": "en", "abstract": "Transport is one of the energy segments belonging to the so-called hard-to-abate sectors. Despite several EU directives promote its decarbonisation, heavy-duty mobility still shows increasing emissions, due to the continuous raise in road freight activity and reliance on low-efficiency internal combustion engines powered by fossil fuels. Hydrogen fuel cell electric trucks represent one of the most valuable solutions for the long-haul transport segment greening. However, the current lack of economy of scale and paucity of refuelling infrastructure represent a significant hint to the widespread deployment of hydrogen mobility. This paper presents a design methodology for converting a diesel depot into an on-site green hydrogen refuelling station dedicated to fuel cell electric trucks. To do so, 150 eligible capacities of photovoltaic plant, electrolyser and low-pressure storage system have been dynamically simulated in the MATLAB/Simulink environment. Thereafter, by means of a multi-objective optimization, based on Pareto Front and Utopia Point, the optimal solutions have been identified. By maximising the hydrogen production and simultaneously minimising the levelized cost of hydrogen, solar energy excess and compressor energy utilisation the components size can be determined. The main outcomes of this study show that the most suitable electrolyser/photovoltaic plant capacity ratio is 44.1%. By comparing on-site with off-site hydrogen refuelling stations, the hydrogen production, distribution and transmission cost equal to 7.70 €/kg is the break-even point between the two stations typologies. Converting diesel pumps into hydrogen refuelling stations can reduce capital expenditure by 30–50% compared to greenfield hydrogen stations.", "keywords": [ "Depot", "Waste management", "Heavy duty", "Diesel fuel", "Engineering", "Environmental science", "Automotive engineering", "Geography" ], "cited_by_openalex": 16, "cited_by_scopus": "14", "eid": "2-s2.0-105004877672", "pii": "S0196890425004406", "open_access_url": "https://doi.org/10.1016/j.enconman.2025.119916", "sources": [ { "db": "openalex", "stream": "TRUCK", "query_id": "TRUCK-3" }, { "db": "scopus", "stream": "TRUCK", "query_id": "TRUCK-3" } ], "streams": [ "TRUCK" ], "relevance_signals": [ "TRUCK_NO_CTX" ], "auto_exclude_reason": "EC-4-topic", "screening_status": "auto_excluded", "screened_by": "auto-v1.0.0" }, { "id": "doi:10.3390/drones9090621", "doi": "10.3390/drones9090621", "title": "UAV Operations and Vertiport Capacity Evaluation with a Mixed-Reality Digital Twin for Future Urban Air Mobility Viability", "year": 2025, "authors": [ "Junjie Zhao", "Zhang Zheng Wen", "Krishnakanth Mohanta", "Stefan Subasu", "Rodolphe Fremond", "Yu Su", "Ruechuda Kallaka", "Antonios Tsourdos" ], "first_author": "Junjie Zhao", "venue": "Drones", "volume": "9", "pages": null, "type": "article", "language": "en", "abstract": "This study presents a high-fidelity digital twin (DT) framework designed to evaluate and improve vertiport operations for Advanced Air Mobility (AAM). By integrating Unreal Engine, AirSim, and Cesium, the framework enables real-time simulation of Unmanned Aerial Vehicles (UAVs), including unmanned electric vertical take-off and landing (eVTOL) operations under nominal and disrupted conditions, such as adverse weather and engine failures. The DT supports interactive visualisation and risk-free analysis of decision-making protocols, vertiport layouts, and UAV handling strategies across multi-scenarios. To validate system realism, mixed-reality experiments involving physical UAVs, acting as surrogates for eVTOL platforms, demonstrate consistency between simulations and real-world flight behaviours. These UAV-based tests confirm the applicability of the DT environment to AAM. Intelligent algorithms detect Final Approach and Take-Off (FATO) areas and adjust flight paths for seamless take-off and landing. Live environmental data are incorporated for dynamic risk assessment and operational adjustment. A structured capacity evaluation method is proposed, modelling constraints including turnaround time, infrastructure limits, charging requirements, and emergency delays. Mitigation strategies, such as ultra-fast charging and reconfiguring the layout, are introduced to restore throughput. This DT provides a scalable, drone-integrated, and data-driven foundation for vertiport optimisation and regulatory planning, supporting safe and resilient integration into the AAM ecosystem.", "keywords": [ "Computer science" ], "cited_by_openalex": 10, "cited_by_scopus": "14", "eid": "2-s2.0-105017434172", "pii": null, "open_access_url": "https://doi.org/10.3390/drones9090621", "sources": [ { "db": "openalex", "stream": "UAV", "query_id": "UAV-3" }, { "db": "scopus", "stream": "UAV", "query_id": "UAV-3" } ], "streams": [ "UAV" ], "relevance_signals": [ "UAV_NO_CTX" ], "auto_exclude_reason": "EC-4-topic", "screening_status": "auto_excluded", "screened_by": "auto-v1.0.0" }, { "id": "doi:10.3390/s25216751", "doi": "10.3390/s25216751", "title": "Secure and Intelligent Low-Altitude Infrastructures: Synergistic Integration of IoT Networks, AI Decision-Making and Blockchain Trust Mechanisms", "year": 2025, "authors": [ "Yuwen Ye", "Xirun Min", "Xiangwen Liu", "Xiangyi Chen", "Xiangyi Chen", "Kefan Cao", "S. M. Ruhul Kabir Howlader", "Xiao Chen", "Xiao Chen" ], "first_author": "Yuwen Ye", "venue": "Sensors", "volume": null, "pages": null, "type": "article", "language": "en", "abstract": "The low-altitude economy (LAE), encompassing urban air mobility, drone logistics and sub 3000 m aerial surveillance, demands secure, intelligent infrastructures to manage increasingly complex, multi-stakeholder operations. This survey evaluates the integration of Internet of Things (IoT) networks, artificial intelligence (AI) decision-making and blockchain trust mechanisms as foundational enablers for next-generation LAE ecosystems. IoT sensor arrays deployed at ground stations, unmanned aerial vehicles (UAVs) and vertiports form a real-time data fabric that records variables from air traffic density to environmental parameters. These continuous data streams empower AI models ranging from predictive analytics and computer vision (CV) to multi-agent reinforcement learning (MARL) and large language model (LLM) reasoning to optimize flight paths, identify anomalies and coordinate swarm behaviors autonomously. In parallel, blockchain architectures furnish immutable audit trails for regulatory compliance, support secure device authentication via decentralized identifiers (DIDs) and automate contractual exchanges for services such as airspace leasing or payload delivery. By examining current research and practical deployments, this review demonstrates how the synergistic application of IoT, AI and blockchain can bolster operational efficiency, resilience and trustworthiness across the LAE landscape.", "keywords": [ "Drone", "Blockchain", "Payload (computing)", "Resilience (materials science)", "Internet of Things", "Identifier", "Authentication (law)", "Ontology", "Analytics", "Cloud computing" ], "cited_by_openalex": 14, "cited_by_scopus": 0, "eid": null, "pii": null, "open_access_url": "https://www.mdpi.com/1424-8220/25/21/6751/pdf?version=1762329535", "sources": [ { "db": "openalex", "stream": "UAV", "query_id": "UAV-3" } ], "streams": [ "UAV" ], "relevance_signals": [ "UAV_NO_CTX" ], "auto_exclude_reason": "EC-4-topic", "screening_status": "auto_excluded", "screened_by": "auto-v1.0.0" }, { "id": "doi:10.1016/j.tra.2025.104632", "doi": "10.1016/j.tra.2025.104632", "title": "Planning UAM network under uncertain travelers’ preferences: A sequential two-layer stochastic optimization approach", "year": 2025, "authors": [ "Tao Guo", "Hao Wu", "Qing-Long Lu", "Constantinos Antoniou" ], "first_author": "Tao Guo", "venue": "Transportation Research Part A Policy and Practice", "volume": "200", "pages": null, "type": "article", "language": "en", "abstract": "Urban Air Mobility (UAM) holds significant promise for enhancing travel efficiency and improving regional accessibility. However, policymakers face a fundamental challenge: infrastructure planning decisions must often be made before demand is known. This study develops a single-stage stochastic optimization framework with sequential decision layers that mirrors real-world planning constraints. It allows agencies to determine vertiport locations and trip allocations before individual mode choices are realized, incorporating behavioral uncertainty via discrete choice modeling and Monte Carlo simulation. To ensure computational tractability at realistic scales, an improved greedy algorithm (GRD-U) is introduced and benchmarked against established heuristics. Experiments on synthetic instances show that cost-saving potential is greatest in larger regions with low road connectivity, as well as unicentric or dispersed demand patterns. A real-world case study in the Munich Metropolitan Area confirms the framework’s applicability, demonstrating notable improvements in generalized travel cost savings, demand coverage, and accessibility compared to existing siting strategies. A sensitivity analysis highlights how UAM performance responds to changes in operational parameters, such as cruise speed, pricing strategies, and vertiport quantity. The framework offers a transparent and behaviorally grounded tool for early-stage UAM planning. It enables public agencies to anticipate demand patterns under uncertainty, weigh trade-offs between investment scale and system performance, and align infrastructure planning with equity and efficiency goals. These contributions provide practical decision support for cities navigating the complexities of UAM deployment", "keywords": [ "Layer (electronics)", "Computer science", "Mathematical optimization", "Operations research", "Engineering", "Mathematics", "Materials science" ], "cited_by_openalex": 6, "cited_by_scopus": "14", "eid": "2-s2.0-105013489142", "pii": "S0965856425002605", "open_access_url": "https://doi.org/10.1016/j.tra.2025.104632", "sources": [ { "db": "openalex", "stream": "UAV", "query_id": "UAV-3" }, { "db": "scopus", "stream": "UAV", "query_id": "UAV-3" } ], "streams": [ "UAV" ], "relevance_signals": [ "UAV_NO_CTX" ], "auto_exclude_reason": "EC-4-topic", "screening_status": "auto_excluded", "screened_by": "auto-v1.0.0" }, { "id": "doi:10.1016/j.sca.2025.100107", "doi": "10.1016/j.sca.2025.100107", "title": "A multi-objective supply chain model for disaster relief optimization using neutrosophic programming and blockchain-based smart contracts", "year": 2025, "authors": [ "Alisha Roushan", "Amrit Das", "Anirban Dutta", "Uttam Kumar Bera" ], "first_author": "Alisha Roushan", "venue": "Supply Chain Analytics", "volume": "10", "pages": null, "type": "article", "language": "en", "abstract": "Efficient supply chain models are crucial for ensuring swift medical intervention and the timely delivery of essential supplies in disaster management. This study focuses on optimizing disaster relief efforts in meteorological disasters , specifically flash floods triggered by cloudburst events. We propose a multi-objective supply chain model that minimizes both cost and time during emergencies by employing drones for rapid response and delivery to inaccessible areas. The model leverages Dijkstra’s algorithm to identify the shortest emergency routes and integrates Neutrosophic Compromise Programming (NCP) and the Weighted Sum Method (WSM) to optimize drone deployment for cost-effectiveness and timely intervention. Pentagonal Type-2 Fuzzy Variables (PT2FV) manage uncertainty and accurately represent real-world disasters. The study also introduces a smart contract framework to enhance transparency and accountability in logistics and rescue operations. These smart contracts govern the assignment of drone-based delivery tasks, ensuring that supplies are optimally allocated and transported via the most efficient routes. The system verifies task completion and maintains a transparent record of the logistics process . The robustness of the model is validated through sensitivity analysis, while the smart contract system is confirmed through unit testing, demonstrating its reliability under varied conditions. This work aligns with Industry 5.0 , integrating human-centric decision-making, drones, intelligent systems, and blockchain-based smart contracts to automate and effectively manage disaster, facilitating seamless collaboration between humans and machines.", "keywords": [ "Blockchain", "Smart contract", "Supply chain", "Computer science", "Programming paradigm", "Operations research", "Business", "Computer security", "Engineering", "Programming language" ], "cited_by_openalex": 8, "cited_by_scopus": "14", "eid": "2-s2.0-85219476341", "pii": "S294986352500007X", "open_access_url": "https://doi.org/10.1016/j.sca.2025.100107", "sources": [ { "db": "openalex", "stream": "UAV", "query_id": "UAV-3" }, { "db": "scopus", "stream": "UAV", "query_id": "UAV-3" } ], "streams": [ "UAV" ], "relevance_signals": [ "UAV_NO_CTX" ], "auto_exclude_reason": "EC-4-topic", "screening_status": "auto_excluded", "screened_by": "auto-v1.0.0" }, { "id": "doi:10.1177/03611981251342249", "doi": "10.1177/03611981251342249", "title": "Optimal Routing Strategies for Last-Mile Delivery with a Fleet of a Single Truck and Multiple Heterogeneous Robots", "year": 2025, "authors": [ "Yuseon Yun", "Hyeong Suk Na", "Sang Jin Kweon" ], "first_author": "Yuseon Yun", "venue": "Transportation Research Record Journal of the Transportation Research Board", "volume": null, "pages": null, "type": "article", "language": "en", "abstract": "To resolve challenges arising from traditional truck-based delivery systems, the integration of autonomous robots into last-mile delivery operations has recently received attention as a promising solution. This study addresses a hybrid truck-robots last-mile delivery system that encompasses both homogeneous and heterogeneous robots. To discuss battery management strategies for robots returning after rendezvousing with a truck, we propose mixed-integer linear programming models offering two options: battery recharging and battery swapping. We explore optimal solutions for truck and robot routes, as well as various robot combinations aimed at minimizing total delivery time. Additionally, we present a three-phased iterative heuristic algorithm designed to effectively solve large-sized problems. The proposed models are validated with application to Southern District, Ulsan, in the Republic of Korea, and Rapid City, South Dakota, in the U.S., serving as examples of urban and rural areas, respectively. Our findings demonstrate that the proposed truck-robots system, particularly with the battery-swapping option, can achieve up to a 50% reduction in total delivery time compared with traditional truck-only delivery systems, applicable to both urban and rural areas. Furthermore, our results underscore the importance of long driving range for the robots in urban areas for enhancing delivery system performance. We also conduct a sensitivity analysis to examine the impact of the following factors on delivery system performance: customer node size, robot speed, number of robots, and various robot ratios. This study helps fill the gap in the literature concerning hybrid truck-robot delivery systems, with implications for improving delivery efficiency and reducing total delivery time in urban areas.", "keywords": [ "Truck", "Last mile (transportation)", "Mile", "Robot", "Vehicle routing problem", "Routing (electronic design automation)", "Computer science", "Transport engineering", "Computer network", "Engineering", "Automotive engineering", "Geography" ], "cited_by_openalex": 13, "cited_by_scopus": "13", "eid": "2-s2.0-105012714897", "pii": null, "open_access_url": "https://doi.org/10.1177/03611981251342249", "sources": [ { "db": "openalex", "stream": "TRUCK", "query_id": "TRUCK-1" }, { "db": "scopus", "stream": "TRUCK", "query_id": "TRUCK-1" } ], "streams": [ "TRUCK" ], "relevance_signals": [ "TRUCK" ], "auto_exclude_reason": null, "screening_status": "pending_human_screening", "screened_by": "auto-v1.0.0" }, { "id": "doi:10.1186/s12544-025-00706-z", "doi": "10.1186/s12544-025-00706-z", "title": "Analysis of logistics measures of CEP service providers for the last-mile delivery in small- and medium-sized cities: A case study for the Aachen city region", "year": 2025, "authors": [ "Abdulrahmon Ghazal", "Santhanakrishnan Narayanan", "Ibraheem Oluwatosin Adeniran", "Carina Kehrt", "Constantinos Antoniou" ], "first_author": "Abdulrahmon Ghazal", "venue": "European Transport Research Review", "volume": "17", "pages": null, "type": "article", "language": "en", "abstract": "Abstract The e-commerce sector’s rapid expansion has led to an increase in delivery activities both within and across cities, fuelling the growth of the courier, express, and parcel (CEP) services. CEP service providers are crucial for the distribution of goods across all types of cities, especially for last-mile delivery. However, CEP service providers need innovative approaches for their last-mile distribution in small- and medium-sized cities to reduce transport costs and negative environmental impacts. For this reason, this paper analyses the quantitative impacts of logistics measures of CEP service providers for last-mile delivery in small- and medium-sized cities, especially the resulting transport costs and environmental impacts, in the framework of a case study for the investigation area of the Aachen city region. A simulation-based analysis was conducted using the agent-based transport simulation MATSim and the linked route optimisation Jsprit. The results revealed that electric trucks are not cost-effective as a stand-alone logistics measure for last-mile delivery in small- and medium-sized cities. However, combining electric trucks with other sustainable logistics measures, such as parcel shops and parcel lockers, results in a viable logistics measure for last-mile delivery. It is possible to reduce total transport costs by at least 5.4% and CO2 emissions by at least 61.1%. Hence, CEP service providers should replace diesel trucks with a mix of sustainable logistics measures for last-mile delivery in small- and medium-sized cities to achieve better operational efficiency and lesser environmental impacts.", "keywords": [ "Last mile (transportation)", "Mile", "Service provider", "City logistics", "Service (business)", "Transport engineering", "Business", "Service delivery framework", "Engineering", "Operations management", "Marketing", "Geography" ], "cited_by_openalex": 16, "cited_by_scopus": "13", "eid": "2-s2.0-85218098381", "pii": null, "open_access_url": "https://etrr.springeropen.com/counter/pdf/10.1186/s12544-025-00706-z", "sources": [ { "db": "openalex", "stream": "TRUCK", "query_id": "TRUCK-1" }, { "db": "scopus", "stream": "TRUCK", "query_id": "TRUCK-1" } ], "streams": [ "TRUCK" ], "relevance_signals": [ "TRUCK" ], "auto_exclude_reason": null, "screening_status": "pending_human_screening", "screened_by": "auto-v1.0.0" }, { "id": "doi:10.1016/j.trd.2025.104662", "doi": "10.1016/j.trd.2025.104662", "title": "Revealing the built environment impacts on truck emissions using interpretable machine learning", "year": 2025, "authors": [ "Tongtong Shi", "Meiting Tu", "Ye Li", "Haobing Liu", "Dominique Gruyer" ], "first_author": "Tongtong Shi", "venue": "Transportation Research Part D Transport and Environment", "volume": "141", "pages": null, "type": "article", "language": "en", "abstract": null, "keywords": [ "Truck", "Environmental science", "Engineering", "Computer science", "Automotive engineering" ], "cited_by_openalex": 15, "cited_by_scopus": "13", "eid": "2-s2.0-85217952746", "pii": "S1361920925000720", "open_access_url": "https://doi.org/10.1016/j.trd.2025.104662", "sources": [ { "db": "openalex", "stream": "TRUCK", "query_id": "TRUCK-1" }, { "db": "scopus", "stream": "TRUCK", "query_id": "TRUCK-1" } ], "streams": [ "TRUCK" ], "relevance_signals": [ "TRUCK_NO_CTX" ], "auto_exclude_reason": "EC-4-topic", "screening_status": "auto_excluded", "screened_by": "auto-v1.0.0" }, { "id": "doi:10.1016/j.tre.2025.104425", "doi": "10.1016/j.tre.2025.104425", "title": "Optimal design for an urban truck-drone collaborative delivery system enhanced with relay points", "year": 2025, "authors": [ "Hongtai Yang", "Jianzhang Wu", "Zhaolin Zhang", "Xiaobo Liu", "Andrea D’Ariano" ], "first_author": "Hongtai Yang", "venue": "Transportation Research Part E Logistics and Transportation Review", "volume": "204", "pages": null, "type": "article", "language": "en", "abstract": null, "keywords": [ "Leverage (statistics)", "Truck", "Relay", "Heuristic", "Key (lock)", "Drone", "Linear programming", "Routing (electronic design automation)", "Vehicle routing problem" ], "cited_by_openalex": 11, "cited_by_scopus": "13", "eid": "2-s2.0-105020972040", "pii": "S1366554525004661", "open_access_url": "https://doi.org/10.1016/j.tre.2025.104425", "sources": [ { "db": "openalex", "stream": "TRUCK", "query_id": "TRUCK-1" }, { "db": "openalex", "stream": "UAV", "query_id": "UAV-1" }, { "db": "scopus", "stream": "TRUCK", "query_id": "TRUCK-1" }, { "db": "scopus", "stream": "UAV", "query_id": "UAV-1" } ], "streams": [ "TRUCK", "UAV" ], "relevance_signals": [ "UAV_NO_CTX", "TRUCK_NO_CTX" ], "auto_exclude_reason": "EC-4-topic", "screening_status": "auto_excluded", "screened_by": "auto-v1.0.0" }, { "id": "doi:10.1016/j.eswa.2025.128503", "doi": "10.1016/j.eswa.2025.128503", "title": "Multi-objective optimization for time-dependent vehicle routing problem with drones", "year": 2025, "authors": [ "Yong Peng", "Chengxi Zhang", "Ajinkya N. Tanksale", "Dennis Z. Yu" ], "first_author": "Yong Peng", "venue": "Expert Systems with Applications", "volume": "291", "pages": null, "type": "article", "language": "en", "abstract": null, "keywords": [ "Drone", "Vehicle routing problem", "Computer science", "Mathematical optimization", "Routing (electronic design automation)", "Mathematics", "Computer network" ], "cited_by_openalex": 16, "cited_by_scopus": "13", "eid": "2-s2.0-105007849530", "pii": "S0957417425021220", "open_access_url": "https://doi.org/10.1016/j.eswa.2025.128503", "sources": [ { "db": "openalex", "stream": "TRUCK", "query_id": "TRUCK-1" }, { "db": "openalex", "stream": "TRUCK", "query_id": "TRUCK-2" }, { "db": "openalex", "stream": "TRUCK", "query_id": "TRUCK-3" }, { "db": "openalex", "stream": "UAV", "query_id": "UAV-1" }, { "db": "openalex", "stream": "UAV", "query_id": "UAV-2" }, { "db": "scopus", "stream": "TRUCK", "query_id": "TRUCK-1" }, { "db": "scopus", "stream": "TRUCK", "query_id": "TRUCK-2" }, { "db": "scopus", "stream": "TRUCK", "query_id": "TRUCK-3" }, { "db": "scopus", "stream": "UAV", "query_id": "UAV-1" }, { "db": "scopus", "stream": "UAV", "query_id": "UAV-2" } ], "streams": [ "TRUCK", "UAV" ], "relevance_signals": [ "UAV_NO_CTX" ], "auto_exclude_reason": "EC-4-topic", "screening_status": "auto_excluded", "screened_by": "auto-v1.0.0" }, { "id": "doi:10.1016/j.tre.2025.104510", "doi": "10.1016/j.tre.2025.104510", "title": "Mitigate the range anxiety: two-stage optimization for the electric vehicle routing problem with time windows and battery status uncertainty", "year": 2025, "authors": [ "Zijian Yuan", "Tao Wang", "Junfang Tian", "Jing Zhang", "Jianfeng Zheng", "Jianjun Wu", "Ziyou Gao" ], "first_author": "Zijian Yuan", "venue": "Transportation Research Part E Logistics and Transportation Review", "volume": "205", "pages": null, "type": "article", "language": "en", "abstract": null, "keywords": [ "Electric vehicle", "Range (aeronautics)", "Vehicle routing problem", "Battery (electricity)", "Battery electric vehicle", "Battery capacity" ], "cited_by_openalex": 12, "cited_by_scopus": "13", "eid": "2-s2.0-105020959794", "pii": "S1366554525005381", "open_access_url": "https://doi.org/10.1016/j.tre.2025.104510", "sources": [ { "db": "openalex", "stream": "TRUCK", "query_id": "TRUCK-1" }, { "db": "openalex", "stream": "TRUCK", "query_id": "TRUCK-2" }, { "db": "scopus", "stream": "TRUCK", "query_id": "TRUCK-1" }, { "db": "scopus", "stream": "TRUCK", "query_id": "TRUCK-2" } ], "streams": [ "TRUCK" ], "relevance_signals": [ "NO_TECHNOLOGY_MATCH" ], "auto_exclude_reason": "EC-4-topic", "screening_status": "auto_excluded", "screened_by": "auto-v1.0.0" }, { "id": "doi:10.1016/j.est.2024.115269", "doi": "10.1016/j.est.2024.115269", "title": "A mathematical model for the development of distributed energy storage devices in the V2V charging process systems based on fuzzy graph theory", "year": 2025, "authors": [ "Rayid Ghani", "Ebrahim Farjah", "Mohammad Reza Oboudi" ], "first_author": "Rayid Ghani", "venue": "Journal of Energy Storage", "volume": "110", "pages": null, "type": "article", "language": "en", "abstract": null, "keywords": [ "Graph theory", "Process (computing)", "Computer science", "Fuzzy logic", "Energy storage", "Graph", "Distributed computing", "Theoretical computer science", "Mathematics", "Artificial intelligence", "Physics" ], "cited_by_openalex": 9, "cited_by_scopus": "13", "eid": "2-s2.0-85214002583", "pii": "S2352152X24048552", "open_access_url": "https://doi.org/10.1016/j.est.2024.115269", "sources": [ { "db": "openalex", "stream": "TRUCK", "query_id": "TRUCK-3" }, { "db": "scopus", "stream": "TRUCK", "query_id": "TRUCK-3" } ], "streams": [ "TRUCK" ], "relevance_signals": [ "NO_TECHNOLOGY_MATCH" ], "auto_exclude_reason": "EC-4-topic", "screening_status": "auto_excluded", "screened_by": "auto-v1.0.0" }, { "id": "doi:10.1016/j.cor.2025.107006", "doi": "10.1016/j.cor.2025.107006", "title": "An exact method and a heuristic for last-mile delivery drones routing with centralized graph-based airspace control", "year": 2025, "authors": [ "Jorge Luiz Franco", "Vitor Curtis", "Edson Luiz França Senne", "Filipe Alves Neto Verri" ], "first_author": "Jorge Luiz Franco", "venue": "Computers & Operations Research", "volume": "178", "pages": null, "type": "article", "language": "en", "abstract": null, "keywords": [ "Drone", "Computer science", "Mile", "Heuristic", "Routing (electronic design automation)", "Vehicle routing problem", "Graph", "Mathematical optimization", "Operations research", "Mathematics", "Computer network", "Artificial intelligence" ], "cited_by_openalex": 14, "cited_by_scopus": "13", "eid": "2-s2.0-85217639296", "pii": "S0305054825000346", "open_access_url": "https://doi.org/10.1016/j.cor.2025.107006", "sources": [ { "db": "openalex", "stream": "UAV", "query_id": "UAV-1" }, { "db": "scopus", "stream": "UAV", "query_id": "UAV-1" } ], "streams": [ "UAV" ], "relevance_signals": [ "UAV" ], "auto_exclude_reason": null, "screening_status": "pending_human_screening", "screened_by": "auto-v1.0.0" }, { "id": "doi:10.1186/s13690-025-01650-z", "doi": "10.1186/s13690-025-01650-z", "title": "Adopting drone technology for blood delivery: a feasibility study to evaluate its efficiency and sustainability", "year": 2025, "authors": [ "Pammi Gauba", "Anita Nangia", "Shalini Bahadur", "Sangeeta Pahuja", "Shweta Dang", "Rambha Pathak", "Kiran Agarwal", "Sunita Sharma", "Deepti Ambalkar", "Manoj Jha", "Ranju Singh", "Priyanka Virdi", "Rakesh Gupta", "Shambhavee Singh", "Ravindra Kumar Pandey", "Bhuvan Adhlakha", "Pragati Agarwal", "Kuldeep Nigam", "Sumit Suresh Aggarwal" ], "first_author": "Pammi Gauba", "venue": "Archives of Public Health", "volume": "83", "pages": null, "type": "article", "language": "en", "abstract": "BACKGROUND: Understanding what drives effective implementation is the key to making more sustainable developments. Blood and its components are critical for life-saving transfusions, however, their availability at the point of care is often limited. Moreover, the logistical challenges associated with blood product transport are substantial and maintaining the cold chain throughout the supply route is crucial to sustain their functional integrity as the temperature fluctuations can compromise its oxygen-carrying capacity. Furthermore, factors such as unpredictable demand, remote geographical locations, and extreme climatic conditions can further compound these difficulties. With India's diverse and distinct topographical variations and geographical spread, last-mile service deliveries of healthcare supplies face multiple challenges. Unmanned Aerial Vehicles (UAVs) or drones are emerging technologies with the potential to leapfrog the last mile logistics solution for transporting medical supplies thus, strengthening the overall healthcare system. METHODS: This study investigates the impact of drone-based delivery on the quality and stability of blood components, relative to conventional transport methods along with the operational challenges associated with implementing a drone-based blood delivery system. To achieve these objectives, the EPIS (Exploration, Preparation, Implementation, Sustainment) framework was adopted, which facilitates a systematic approach to this complex implementation process. The drone-related technical and logistic challenges encountered during the study were also identified. RESULTS: The study documents the challenges experienced by the study team during the drone-based delivery of blood while maintaining the biochemical parameters of blood components. During the drone based transportation the temperature, integrity of blood cells, and other parameters were maintained, while slight changes in few parameters were observed via both transportation modes. In this study the drone travelled around 36 km in 8 min, while van took around 55 min to cover the same distance. CONCLUSIONS: The present study was done to assess the impact of drone-based delivery on the blood components after the transportation and their comparison to conventional modes of transportation, also, to lay foundation for the successful and sustainable drone-based blood delivery programs. This study suggests that the blood and its components can be transported safely by drone following standard guidelines, which could be helpful particularly in determining blood in emergency situation and difficult terrains.", "keywords": [ "Drone", "Sustainability", "Health services research", "Public health", "Health informatics", "Health administration", "Medicine", "Computer science", "Nursing" ], "cited_by_openalex": 13, "cited_by_scopus": "13", "eid": "2-s2.0-105008818239", "pii": null, "open_access_url": "https://archpublichealth.biomedcentral.com/counter/pdf/10.1186/s13690-025-01650-z", "sources": [ { "db": "openalex", "stream": "UAV", "query_id": "UAV-1" }, { "db": "openalex", "stream": "UAV", "query_id": "UAV-3" }, { "db": "scopus", "stream": "UAV", "query_id": "UAV-1" }, { "db": "scopus", "stream": "UAV", "query_id": "UAV-3" } ], "streams": [ "UAV" ], "relevance_signals": [ "UAV" ], "auto_exclude_reason": null, "screening_status": "pending_human_screening", "screened_by": "auto-v1.0.0" }, { "id": "doi:10.1016/j.compeleceng.2025.110529", "doi": "10.1016/j.compeleceng.2025.110529", "title": "Multi-Agent Reinforcement Learning for truck–drone routing in smart logistics: A comprehensive review", "year": 2025, "authors": [ "Ali Arishi", "Paras Ahuja" ], "first_author": "Ali Arishi", "venue": "Computers & Electrical Engineering", "volume": "127", "pages": null, "type": "article", "language": "en", "abstract": null, "keywords": [ "Drone", "Reinforcement learning", "Truck", "Routing (electronic design automation)", "Computer science", "Engineering", "Artificial intelligence", "Automotive engineering", "Computer network", "Biology" ], "cited_by_openalex": 13, "cited_by_scopus": "13", "eid": "2-s2.0-105009512652", "pii": "S0045790625004720", "open_access_url": "https://doi.org/10.1016/j.compeleceng.2025.110529", "sources": [ { "db": "openalex", "stream": "UAV", "query_id": "UAV-1" }, { "db": "openalex", "stream": "UAV", "query_id": "UAV-2" }, { "db": "scopus", "stream": "TRUCK", "query_id": "TRUCK-1" }, { "db": "scopus", "stream": "UAV", "query_id": "UAV-1" }, { "db": "scopus", "stream": "UAV", "query_id": "UAV-2" } ], "streams": [ "TRUCK", "UAV" ], "relevance_signals": [ "UAV_NO_CTX", "TRUCK_NO_CTX" ], "auto_exclude_reason": "EC-4-topic", "screening_status": "auto_excluded", "screened_by": "auto-v1.0.0" }, { "id": "doi:10.1016/j.cie.2025.111452", "doi": "10.1016/j.cie.2025.111452", "title": "Path optimization for UAV food delivery under extreme weather conditions with wind disturbance consideration", "year": 2025, "authors": [ "Xinhui Lu", "Qinze Wu", "Kaile Zhou" ], "first_author": "Xinhui Lu", "venue": "Computers & Industrial Engineering", "volume": "209", "pages": null, "type": "article", "language": "en", "abstract": null, "keywords": [ "Disturbance (geology)", "Extreme weather", "Food delivery", "Environmental science", "Path (computing)", "Meteorology", "Computer science", "Engineering", "Ecology", "Geography", "Biology", "Climate change" ], "cited_by_openalex": 10, "cited_by_scopus": "13", "eid": "2-s2.0-105012937943", "pii": "S0360835225005984", "open_access_url": "https://doi.org/10.1016/j.cie.2025.111452", "sources": [ { "db": "openalex", "stream": "UAV", "query_id": "UAV-1" }, { "db": "scopus", "stream": "UAV", "query_id": "UAV-1" } ], "streams": [ "UAV" ], "relevance_signals": [ "UAV_NO_CTX" ], "auto_exclude_reason": "EC-4-topic", "screening_status": "auto_excluded", "screened_by": "auto-v1.0.0" }, { "id": "doi:10.1109/jiot.2025.3615410", "doi": "10.1109/jiot.2025.3615410", "title": "LLM-Enabled In-Context Learning for Data Collection Scheduling in UAV-Assisted Sensor Networks", "year": 2025, "authors": [ "Yousef Emami", "Hao Zhou", "Seyedsina Nabavirazavi", "Lúıs Almeida" ], "first_author": "Yousef Emami", "venue": "IEEE Internet of Things Journal", "volume": null, "pages": null, "type": "article", "language": "en", "abstract": "Unmanned Aerial Vehicles (UAVs) are increasingly being utilized in various private and commercial applications, e.g., traffic control, parcel delivery, and Search and Rescue (SAR) missions. Machine Learning (ML) methods used in UAV-Assisted Sensor Networks (UASNETs) and, especially, in Deep Reinforcement Learning (DRL) face challenges such as complex and lengthy model training, gaps between simulation and reality, and low sampling efficiency, which conflict with the urgency of emergencies, such as SAR missions. In this paper, an In-Context Learning (ICL)-Data Collection Scheduling (ICLDC) system is proposed as an alternative to DRL in emergencies. The UAV collects sensory data and transmits it to a Large Language Model (LLM), which creates a task description in natural language. From this description, the UAV receives a data collection schedule that must be executed. A verifier ensures safe UAV operations by evaluating the schedules generated by the LLM and overriding unsafe schedules based on predefined rules. The system continuously adapts by incorporating feedback into the task descriptions and using this for future decisions. This method is tested against jailbreaking attacks, where the task description is manipulated to undermine network performance, highlighting the vulnerability of LLMs to such attacks. The proposed ICLDC significantly reduces cumulative packet loss compared to both the DQN and Maximum Channel Gain baselines. ICLDC presents a promising direction for intelligent scheduling and control in UASNETs.", "keywords": [ "Scheduling (production processes)", "Reinforcement learning", "Wireless sensor network", "Data collection", "Schedule", "Network packet", "Drone", "Task analysis" ], "cited_by_openalex": 7, "cited_by_scopus": "13", "eid": "2-s2.0-105017736292", "pii": null, "open_access_url": "https://arxiv.org/pdf/2504.14556", "sources": [ { "db": "openalex", "stream": "UAV", "query_id": "UAV-1" }, { "db": "scopus", "stream": "UAV", "query_id": "UAV-1" } ], "streams": [ "UAV" ], "relevance_signals": [ "UAV" ], "auto_exclude_reason": null, "screening_status": "pending_human_screening", "screened_by": "auto-v1.0.0" }, { "id": "doi:10.1016/j.cie.2025.111388", "doi": "10.1016/j.cie.2025.111388", "title": "Drone on-demand delivery routing problem considering order splitting and battery swapping", "year": 2025, "authors": [ "Shuxuan Li", "Tianjun Liao", "Guohua Wu", "Yalin Wang", "Ponnuthurai Nagaratnam Suganthan" ], "first_author": "Shuxuan Li", "venue": "Computers & Industrial Engineering", "volume": "208", "pages": null, "type": "article", "language": "en", "abstract": null, "keywords": [ "Drone", "Order (exchange)", "Battery (electricity)", "Routing (electronic design automation)", "Computer science", "Computer network", "Engineering", "Business", "Physics", "Biology", "Finance" ], "cited_by_openalex": 13, "cited_by_scopus": "13", "eid": "2-s2.0-105011080089", "pii": "S0360835225005340", "open_access_url": "https://doi.org/10.1016/j.cie.2025.111388", "sources": [ { "db": "openalex", "stream": "UAV", "query_id": "UAV-2" }, { "db": "scopus", "stream": "UAV", "query_id": "UAV-2" } ], "streams": [ "UAV" ], "relevance_signals": [ "UAV_NO_CTX" ], "auto_exclude_reason": "EC-4-topic", "screening_status": "auto_excluded", "screened_by": "auto-v1.0.0" }, { "id": "doi:10.3390/aerospace12080709", "doi": "10.3390/aerospace12080709", "title": "Vertiport Location Selection and Optimization for Urban Air Mobility in Complex Urban Scenes", "year": 2025, "authors": [ "Ying Lu", "Weili Zeng", "Wenbin Wei", "Weiwei Wu", "Hao Jiang" ], "first_author": "Ying Lu", "venue": "Aerospace", "volume": "12", "pages": null, "type": "article", "language": "en", "abstract": "Vertiports, as dedicated facilities for electric vertical takeoff and landing (eVTOL) aircraft, are essential to ensure the efficiency and sustainability of Urban Air Mobility (UAM). However, UAM infrastructure site selection has become increasingly complex due to limited land availability, complex spatial conditions, and the need to balance multiple objectives. Focusing on passenger-carrying UAM operations, this study proposes a systematic framework for vertiport site selection. First, key factors are classified into high, medium, and low levels across the safety, economic, and social dimensions, forming a modular evaluation system. A GIS-based spatial screening process is developed to identify potential vertiport locations. Subsequently, a variable representing the level of demand satisfaction is incorporated into a progressive coverage model specifically designed for vertiport site optimization. A hybrid algorithm is designed to solve the model. Using Shenzhen as a case study, the proposed approach is validated through real-world data. The results show that vertiport size and spatial requirements significantly influence the selection of suitable land types. High economic constraints may cause facility over-concentration, while setting standards aligned with regional functions better supports equitable access. Locating vertiports in high-demand areas enhances demand satisfaction levels, and both service capacity and range strongly influence overall system performance. These findings provide practical insights for future vertiport planning, promoting the efficient use of urban resources and supporting the successful implementation and sustainability of UAM.", "keywords": [ "Computer science", "Sustainability", "Key (lock)", "Process (computing)", "Site selection", "Selection (genetic algorithm)", "Modular design", "Service (business)", "Transport engineering", "Variable (mathematics)", "Range (aeronautics)", "Environmental economics" ], "cited_by_openalex": 13, "cited_by_scopus": "13", "eid": "2-s2.0-105014503375", "pii": null, "open_access_url": "https://doi.org/10.3390/aerospace12080709", "sources": [ { "db": "openalex", "stream": "UAV", "query_id": "UAV-3" }, { "db": "scopus", "stream": "UAV", "query_id": "UAV-3" } ], "streams": [ "UAV" ], "relevance_signals": [ "UAV_NO_CTX" ], "auto_exclude_reason": "EC-4-topic", "screening_status": "auto_excluded", "screened_by": "auto-v1.0.0" }, { "id": "doi:10.1016/j.jairtraman.2025.102757", "doi": "10.1016/j.jairtraman.2025.102757", "title": "Multi-objective vertiport location optimization for a middle-mile package delivery framework: Case study in the South Holland Region", "year": 2025, "authors": [ "Victor Petit", "Marta Ribeiro" ], "first_author": "Victor Petit", "venue": "Journal of Air Transport Management", "volume": "125", "pages": null, "type": "article", "language": "en", "abstract": "With the rapidly increasing pace of urbanization and high demand for efficient modes of transport, the Urban Air Mobility (UAM) market has seen a remarkable growth in the past years. This is especially the case for the transportation of goods. Using UAM for cargo operations is likely through operating on Middle-Mile Delivery (MMD) missions to transport cargo between facilities or distribution centers in an operator’s network. The efficiency and practicality of such a network are largely affected by the selection of strategic positions for vertiports. As vertiport location optimization is underexplored in current scientific research this paper aims to fill this research gap by developing and analyzing a multi-objective optimization model for the placement of vertiports for a middle-mile package delivery system, considering capacity, available land space, safety and noise impact factors. We develop a novel Multi-Objective Multiple Allocation Capacitated p-Hub Coverage Problem framework for an MMD UAM network and test it using the South Holland region as a case study. Notably, the model can easily be converted to other cities. First, to reduce computational efforts, the K-means clustering algorithm is proposed. This is used to divide 6625 zones into a number of K clusters, with each cluster representing a vertiport candidate location. Furthermore, we present a multi-objective Tabu Search based heuristic optimization algorithm to solve the optimization problem. The impact of different factors such as number of clusters, number of vertiports, drone range, maximum safety distance, and turn around time The presented model provides decision-makers with the ability to assess the suitability of a region for the implementation of a UAM MMD system and aids in the identification of potential good locations to set up vertiports. We demonstrate that an increase in the number of vertiports leads to a higher attainable demand coverage, however, this results in a steep drop-off in terms of safety and noise nuisance performance. Furthermore, the results show that an increase in drone range, maximum safety distance or a decrease in turn around time allow for overall better performing vertiport networks. • Framework for vertiport placement in a middle-mile package delivery system. • Multi-criteria objective: capacity, land space, safety, and noise. • A Pareto front presenting all solutions and offering a balanced trade-off. • Application to South Holland, a dense urban area actively focussing on U-space.", "keywords": [ "Mile", "Last mile (transportation)", "Engineering", "Operations management", "Computer science", "Transport engineering", "Operations research", "Geography", "Geodesy" ], "cited_by_openalex": 12, "cited_by_scopus": "13", "eid": "2-s2.0-85218891810", "pii": "S0969699725000195", "open_access_url": "https://doi.org/10.1016/j.jairtraman.2025.102757", "sources": [ { "db": "openalex", "stream": "UAV", "query_id": "UAV-3" }, { "db": "scopus", "stream": "UAV", "query_id": "UAV-3" } ], "streams": [ "UAV" ], "relevance_signals": [ "UAV" ], "auto_exclude_reason": null, "screening_status": "pending_human_screening", "screened_by": "auto-v1.0.0" }, { "id": "doi:10.1287/ijoc.2023.0404", "doi": "10.1287/ijoc.2023.0404", "title": "The Electric Vehicle Routing and Overnight Charging Scheduling Problem on a Multigraph", "year": 2025, "authors": [ "Yamín D." ], "first_author": "Yamín D.", "venue": "Informs Journal on Computing", "volume": "37", "pages": "808-830", "type": "Article", "language": null, "abstract": null, "keywords": [], "cited_by_openalex": 0, "cited_by_scopus": "13", "eid": "2-s2.0-105014390767", "pii": null, "open_access_url": null, "sources": [ { "db": "scopus", "stream": "TRUCK", "query_id": "TRUCK-2" } ], "streams": [ "TRUCK" ], "relevance_signals": [ "NO_TECHNOLOGY_MATCH" ], "auto_exclude_reason": "EC-4-topic", "screening_status": "auto_excluded", "screened_by": "auto-v1.0.0" }, { "id": "doi:10.1016/j.apenergy.2025.126546", "doi": "10.1016/j.apenergy.2025.126546", "title": "Energy-efficient routing for IoT-enabled multi-truck multi-drone pickup and delivery systems", "year": 2025, "authors": [ "Bai X." ], "first_author": "Bai X.", "venue": "Applied Energy", "volume": "400", "pages": null, "type": "Article", "language": null, "abstract": null, "keywords": [], "cited_by_openalex": 0, "cited_by_scopus": "13", "eid": "2-s2.0-105013260060", "pii": "S0306261925012760", "open_access_url": null, "sources": [ { "db": "scopus", "stream": "UAV", "query_id": "UAV-1" }, { "db": "scopus", "stream": "UAV", "query_id": "UAV-2" } ], "streams": [ "UAV" ], "relevance_signals": [ "UAV_NO_CTX", "TRUCK_NO_CTX" ], "auto_exclude_reason": "EC-4-topic", "screening_status": "auto_excluded", "screened_by": "auto-v1.0.0" }, { "id": "doi:10.1108/ijpdlm-12-2023-0468", "doi": "10.1108/ijpdlm-12-2023-0468", "title": "Innovators and transformers: Envisioning a revolution in middle mile logistics with extended range cargo drones", "year": 2025, "authors": [ "Purtell C.T." ], "first_author": "Purtell C.T.", "venue": "International Journal of Physical Distribution and Logistics Management", "volume": "55", "pages": "376-393", "type": "Article", "language": null, "abstract": null, "keywords": [], "cited_by_openalex": 0, "cited_by_scopus": "13", "eid": "2-s2.0-85214817353", "pii": null, "open_access_url": null, "sources": [ { "db": "scopus", "stream": "UAV", "query_id": "UAV-1" } ], "streams": [ "UAV" ], "relevance_signals": [ "UAV_NO_CTX" ], "auto_exclude_reason": "EC-4-topic", "screening_status": "auto_excluded", "screened_by": "auto-v1.0.0" }, { "id": "doi:10.1016/j.cor.2025.106996", "doi": "10.1016/j.cor.2025.106996", "title": "The drone-assisted simultaneous pickup and delivery problem with time windows", "year": 2025, "authors": [ "Zhang X." ], "first_author": "Zhang X.", "venue": "Computers and Operations Research", "volume": "178", "pages": null, "type": "Article", "language": null, "abstract": null, "keywords": [], "cited_by_openalex": 0, "cited_by_scopus": "13", "eid": "2-s2.0-85217370197", "pii": "S0305054825000243", "open_access_url": null, "sources": [ { "db": "scopus", "stream": "UAV", "query_id": "UAV-2" } ], "streams": [ "UAV" ], "relevance_signals": [ "UAV_NO_CTX" ], "auto_exclude_reason": "EC-4-topic", "screening_status": "auto_excluded", "screened_by": "auto-v1.0.0" }, { "id": "doi:10.1109/tits.2025.3528961", "doi": "10.1109/tits.2025.3528961", "title": "A Multifaceted Analysis of Intelligent Vehicle Route Optimization", "year": 2025, "authors": [ "Pooja " ], "first_author": "Pooja ", "venue": "IEEE Transactions on Intelligent Transportation Systems", "volume": "26", "pages": "2833-2850", "type": "Article", "language": null, "abstract": null, "keywords": [], "cited_by_openalex": 0, "cited_by_scopus": "13", "eid": "2-s2.0-105001060504", "pii": null, "open_access_url": null, "sources": [ { "db": "scopus", "stream": "UAV", "query_id": "UAV-2" } ], "streams": [ "UAV" ], "relevance_signals": [ "NO_TECHNOLOGY_MATCH" ], "auto_exclude_reason": "EC-4-topic", "screening_status": "auto_excluded", "screened_by": "auto-v1.0.0" }, { "id": "doi:10.1016/j.rineng.2025.106267", "doi": "10.1016/j.rineng.2025.106267", "title": "Design and development of agricultural drone for precision fertilizer application to optimize crop yields", "year": 2025, "authors": [ "Josephat A." ], "first_author": "Josephat A.", "venue": "Results in Engineering", "volume": "27", "pages": null, "type": "Article", "language": null, "abstract": null, "keywords": [], "cited_by_openalex": 0, "cited_by_scopus": "13", "eid": "2-s2.0-105011041270", "pii": "S2590123025023394", "open_access_url": null, "sources": [ { "db": "scopus", "stream": "UAV", "query_id": "UAV-3" } ], "streams": [ "UAV" ], "relevance_signals": [ "UAV_NO_CTX" ], "auto_exclude_reason": "EC-4-topic", "screening_status": "auto_excluded", "screened_by": "auto-v1.0.0" }, { "id": "doi:10.3390/electronics14102026", "doi": "10.3390/electronics14102026", "title": "Machine Learning-Driven Truck–Drone Collaborative Delivery for Time- and Energy-Efficient Last-Mile Deliveries", "year": 2025, "authors": [ "Didem Cicek", "Murat Şimşek", "Burak Kantarcı" ], "first_author": "Didem Cicek", "venue": "Electronics", "volume": "14", "pages": null, "type": "article", "language": "en", "abstract": "Truck–drone collaboration in urban last-mile deliveries offers an innovative solution to address inefficiencies in modern supply chain networks. This work leverages real drone flight data to train a machine learning-based drone energy model that accurately estimates the time and energy consumption of drones to support resource-related decisions. An AI engine is proposed that integrates the drone energy model with a self-organizing feature map algorithm, ensuring continuous drone operation without reliance on charging infrastructure. A total of 93 comprehensive scenario-based simulations over 1 week of delivery data in MATLAB offers actionable insights into resource allocation, demonstrating that deploying three drones at five truck stops results in the most energy-efficient delivery scenario, reducing energy consumption by 36% compared to the least efficient outcome, in which a single drone is deployed at four stops. The holistic and data-driven approach to truck-drone collaboration presented in this work has the potential to bridge the gap between theoretical models and real-world applications.", "keywords": [ "Drone", "Mile", "Last mile (transportation)", "Truck", "Aeronautics", "Engineering", "Computer science", "Transport engineering", "Automotive engineering", "Simulation", "Geography" ], "cited_by_openalex": 11, "cited_by_scopus": "12", "eid": "2-s2.0-105006693403", "pii": null, "open_access_url": "https://www.mdpi.com/2079-9292/14/10/2026/pdf?version=1747384676", "sources": [ { "db": "openalex", "stream": "TRUCK", "query_id": "TRUCK-1" }, { "db": "openalex", "stream": "UAV", "query_id": "UAV-1" }, { "db": "scopus", "stream": "TRUCK", "query_id": "TRUCK-1" }, { "db": "scopus", "stream": "UAV", "query_id": "UAV-1" } ], "streams": [ "TRUCK", "UAV" ], "relevance_signals": [ "UAV", "TRUCK" ], "auto_exclude_reason": null, "screening_status": "pending_human_screening", "screened_by": "auto-v1.0.0" }, { "id": "doi:10.1016/j.ejor.2024.12.047", "doi": "10.1016/j.ejor.2024.12.047", "title": "Integrating public transport in sustainable last-mile delivery: Column generation approaches", "year": 2025, "authors": [ "Diego Delle Donne", "Alberto Santini", "Claudia Archetti" ], "first_author": "Diego Delle Donne", "venue": "European Journal of Operational Research", "volume": "324", "pages": "75-91", "type": "article", "language": "en", "abstract": "We tackle the problem of coordinating a three-echelon last-mile delivery system. In the first echelon, trucks transport parcels from distribution centres outside the city to public transport stops. In the second echelon, the parcels move on public transport and reach the city centre. In the third echelon, zero-emission vehicles pick up the parcels at public transport stops and deliver them to customers. We introduce two extended formulations for this problem. The first has two exponential sets of variables, while the second has one. We propose column generation algorithms and compare several methods to solve the pricing problems on specially constructed graphs. We also devise dual bounds, which we can compute even when the graphs are so large that not a single pricing round completes within the time limit. Compared to previous formulations, our models find 16 new best known solutions out of an existing dataset of 24 instances from the literature.", "keywords": [ "Column generation", "Mile", "Last mile (transportation)", "Column (typography)", "Computer science", "Public transport", "Environmental science", "Operations research", "Business", "Transport engineering", "Engineering", "Geography" ], "cited_by_openalex": 15, "cited_by_scopus": "12", "eid": "2-s2.0-105001697307", "pii": "S0377221724009901", "open_access_url": "https://doi.org/10.1016/j.ejor.2024.12.047", "sources": [ { "db": "openalex", "stream": "TRUCK", "query_id": "TRUCK-1" }, { "db": "scopus", "stream": "TRUCK", "query_id": "TRUCK-1" } ], "streams": [ "TRUCK" ], "relevance_signals": [ "TRUCK" ], "auto_exclude_reason": null, "screening_status": "pending_human_screening", "screened_by": "auto-v1.0.0" }, { "id": "doi:10.1016/j.tre.2025.104344", "doi": "10.1016/j.tre.2025.104344", "title": "On the optimal micro-hub locations in a multi-modal last-mile delivery system", "year": 2025, "authors": [ "Patrick Stokkink", "Nikolas Geroliminis" ], "first_author": "Patrick Stokkink", "venue": "Transportation Research Part E Logistics and Transportation Review", "volume": "203", "pages": null, "type": "article", "language": "en", "abstract": "Last-mile delivery is one of the most polluting parts of the supply chain. This is partially caused by increased congestion in urban areas and repetitive stop-and-go traffic. One possible alternative to this is to use micro-mobility to replace large motorized vehicles. However, these vehicles are usually slower and have lower capacity. In this work, we propose a multi-modal logistics system for last-mile delivery that combines the use of trucks, metro and micro-mobility. This innovative type of system uses the metro to distribute the parcels to micro-hubs across the network and uses micro-mobility only for the final part of the parcel’s itinerary from the micro-hub to the front door of the customer. We focus on finding the optimal micro-hub locations in such a system. We use a continuum approximation of the operational and tactical decisions which includes routing of the micro-mobility vehicles. The whole problem is then modeled as a Mixed Integer Linear Programming (MILP) model for the strategic decisions regarding the micro-hubs, which include location, capacity, and fleet-assignment decisions. We evaluate the results of a case study of the city of Madrid, which illustrates that a multi-modal last-mile delivery system can significantly improve a traditional last-mile delivery system in terms of operational costs and pollution.", "keywords": [ "Last mile (transportation)", "Mile", "Modal", "Transport engineering", "Computer science", "Engineering", "Business", "Geography", "Geodesy" ], "cited_by_openalex": 12, "cited_by_scopus": "12", "eid": "2-s2.0-105012411331", "pii": "S1366554525003850", "open_access_url": "https://doi.org/10.1016/j.tre.2025.104344", "sources": [ { "db": "openalex", "stream": "TRUCK", "query_id": "TRUCK-1" }, { "db": "scopus", "stream": "TRUCK", "query_id": "TRUCK-1" } ], "streams": [ "TRUCK" ], "relevance_signals": [ "TRUCK" ], "auto_exclude_reason": null, "screening_status": "pending_human_screening", "screened_by": "auto-v1.0.0" }, { "id": "doi:10.1016/j.cor.2025.107032", "doi": "10.1016/j.cor.2025.107032", "title": "Autonomous delivery vehicle routing problem with drones based on multiple delivery modes", "year": 2025, "authors": [ "Jili Kong", "Hao Wang", "Minhui Xie" ], "first_author": "Jili Kong", "venue": "Computers & Operations Research", "volume": "179", "pages": null, "type": "article", "language": "en", "abstract": null, "keywords": [ "Drone", "Vehicle routing problem", "Computer science", "Routing (electronic design automation)", "Operations research", "Mathematical optimization", "Computer network", "Mathematics" ], "cited_by_openalex": 14, "cited_by_scopus": "12", "eid": "2-s2.0-86000568234", "pii": "S0305054825000607", "open_access_url": "https://doi.org/10.1016/j.cor.2025.107032", "sources": [ { "db": "openalex", "stream": "TRUCK", "query_id": "TRUCK-1" }, { "db": "openalex", "stream": "UAV", "query_id": "UAV-1" }, { "db": "openalex", "stream": "UAV", "query_id": "UAV-2" }, { "db": "scopus", "stream": "TRUCK", "query_id": "TRUCK-1" }, { "db": "scopus", "stream": "UAV", "query_id": "UAV-1" }, { "db": "scopus", "stream": "UAV", "query_id": "UAV-2" } ], "streams": [ "TRUCK", "UAV" ], "relevance_signals": [ "UAV_NO_CTX" ], "auto_exclude_reason": "EC-4-topic", "screening_status": "auto_excluded", "screened_by": "auto-v1.0.0" }, { "id": "doi:10.1016/j.tre.2025.104347", "doi": "10.1016/j.tre.2025.104347", "title": "The traveling salesman problem with drone based on vehicle mobile parking for customer self-pickup", "year": 2025, "authors": [ "Lingrui Hong", "Lin Zhou", "Roberto Baldacci" ], "first_author": "Lingrui Hong", "venue": "Transportation Research Part E Logistics and Transportation Review", "volume": "203", "pages": null, "type": "article", "language": "en", "abstract": null, "keywords": [ "Drone", "Pickup", "Travelling salesman problem", "Computer science", "Engineering", "Transport engineering", "Artificial intelligence" ], "cited_by_openalex": 13, "cited_by_scopus": "12", "eid": "2-s2.0-105012626658", "pii": "S1366554525003886", "open_access_url": "https://www.sciencedirect.com/science/article/pii/S1366554525003886?via=ihub", "sources": [ { "db": "openalex", "stream": "TRUCK", "query_id": "TRUCK-1" }, { "db": "openalex", "stream": "TRUCK", "query_id": "TRUCK-3" }, { "db": "openalex", "stream": "UAV", "query_id": "UAV-1" }, { "db": "scopus", "stream": "TRUCK", "query_id": "TRUCK-1" }, { "db": "scopus", "stream": "TRUCK", "query_id": "TRUCK-3" }, { "db": "scopus", "stream": "UAV", "query_id": "UAV-1" } ], "streams": [ "TRUCK", "UAV" ], "relevance_signals": [ "UAV_NO_CTX" ], "auto_exclude_reason": "EC-4-topic", "screening_status": "auto_excluded", "screened_by": "auto-v1.0.0" }, { "id": "doi:10.1109/iscait64916.2025.11010664", "doi": "10.1109/iscait64916.2025.11010664", "title": "Blockchain and Metaheuristic Optimization Algorithms-Based Sustainable Intelligent Transportation System Design", "year": 2025, "authors": [ "Juan Guo", "Jiong Li", "Mario Di Nardo", "Zhonghuan Huang" ], "first_author": "Juan Guo", "venue": "2025 4th International Symposium on Computer Applications and Information Technology Iscait 2025", "volume": null, "pages": "1561-1564", "type": "conference-paper", "language": "en", "abstract": "Blockchain technology is being widely applied in fields such as smart cities, smart transportation, and smart grids. Therefore, this study mainly designs an intelligent transportation system based on blockchain, aiming to reduce the carbon emissions of urban transportation systems and improve the freight efficiency of transportation systems. Specifically, this study designs the urban logistics network based on decentralized architecture and metaheuristic algorithms, aiming to generate a distribution path with the least carbon emissions and shortest time for freight vehicles. Among them, the blockchain layer adopts a consortium chain design, with multi module smart contracts and privacy protection mechanisms to ensure data credibility and network security of intelligent transportation systems. Meta heuristic algorithms are used to dynamically solve multi-objective path planning problems. In addition, we validated the designed system based on several delivery examples and solved the problem using an improved Moss Growth Optimization (MGO) algorithm. The results indicate that blockchain-based intelligent transportation systems can effectively reduce the delivery costs and carbon emissions of transportation networks.", "keywords": [ "Metaheuristic", "Computer science", "Blockchain", "Parallel metaheuristic", "Optimization algorithm", "Mathematical optimization", "Algorithm", "Meta-optimization", "Mathematics", "Computer security" ], "cited_by_openalex": 9, "cited_by_scopus": "12", "eid": "2-s2.0-105010229268", "pii": null, "open_access_url": "https://doi.org/10.1109/iscait64916.2025.11010664", "sources": [ { "db": "openalex", "stream": "TRUCK", "query_id": "TRUCK-1" }, { "db": "scopus", "stream": "TRUCK", "query_id": "TRUCK-1" } ], "streams": [ "TRUCK" ], "relevance_signals": [ "TRUCK" ], "auto_exclude_reason": null, "screening_status": "pending_human_screening", "screened_by": "auto-v1.0.0" }, { "id": "doi:10.3390/s25144439", "doi": "10.3390/s25144439", "title": "An Inexpensive AI-Powered IoT Sensor for Continuous Farm-to-Factory Milk Quality Monitoring", "year": 2025, "authors": [ "Kaneez Fizza", "Abhik Banerjee", "Dimitrios Georgakopoulos", "Prem Prakash Jayaraman", "Ali Yavari", "Anas Dawod" ], "first_author": "Kaneez Fizza", "venue": "Sensors", "volume": "25", "pages": null, "type": "article", "language": "en", "abstract": "The amount of protein and fat in raw milk determines its quality, value in the marketplace, and related payment to suppliers. Technicians use expensive specialized laboratory equipment to measure milk quality in specialized laboratories. The continuous quality monitoring of the milk supply in the supplier's tanks enables the production of higher quality products, better milk supply chain optimization, and reduced milk waste. This paper presents an inexpensive AI-powered IoT sensor that continuously measures the protein and fat in the raw milk in the tanks of dairy farms, pickup trucks, and intermediate storage depots across any milk supply chain. The proposed sensor consists of an in-tank IoT device and related software components that run on any IoT platform. The in-tank IoT device quality incorporates a low-cost spectrometer and a microcontroller that can send milk supply measurements to any IoT platform via NB-IoT. The in-tank IoT device of the milk quality sensor is housed in a food-safe polypropylene container that allows its deployment in any milk tank. The IoT software component of the milk quality sensors uses a specialized machine learning (ML) algorithm to translate the spectrometry measurements into milk fat and protein measurements. The paper presents the design of an in-tank IoT sensor and the corresponding IoT software translation of the spectrometry measurements to protein and fat measurements. Moreover, it includes an experimental milk quality sensor evaluation that shows that sensor accuracy is ±0.14% for fat and ±0.07% for protein.", "keywords": [ "Factory (object-oriented programming)", "Supply chain", "Raw milk", "Software", "Quality (philosophy)", "Microcontroller", "Internet of Things", "Engineering", "Computer science", "Process engineering", "Embedded system", "Food science" ], "cited_by_openalex": 14, "cited_by_scopus": "12", "eid": "2-s2.0-105011945007", "pii": null, "open_access_url": "https://www.mdpi.com/1424-8220/25/14/4439/pdf?version=1752837371", "sources": [ { "db": "openalex", "stream": "TRUCK", "query_id": "TRUCK-3" }, { "db": "scopus", "stream": "TRUCK", "query_id": "TRUCK-3" } ], "streams": [ "TRUCK" ], "relevance_signals": [ "TRUCK_NO_CTX" ], "auto_exclude_reason": "EC-4-topic", "screening_status": "auto_excluded", "screened_by": "auto-v1.0.0" }, { "id": "doi:10.1016/j.trc.2024.104986", "doi": "10.1016/j.trc.2024.104986", "title": "Near time-optimal trajectory optimisation for drones in last-mile delivery using spatial reformulation approach", "year": 2025, "authors": [ "Y.Y. Chan", "Kam K.H. Ng", "Tianqi Wang", "K. K. Hon", "Chun-Ho Liu" ], "first_author": "Y.Y. Chan", "venue": "Transportation Research Part C Emerging Technologies", "volume": "171", "pages": null, "type": "article", "language": "en", "abstract": null, "keywords": [ "Drone", "Mile", "Trajectory", "Computer science", "Transport engineering", "Last mile (transportation)", "Engineering", "Aeronautics", "Operations research", "Geography", "Geodesy" ], "cited_by_openalex": 7, "cited_by_scopus": "12", "eid": "2-s2.0-85213865687", "pii": "S0968090X24005072", "open_access_url": "https://doi.org/10.1016/j.trc.2024.104986", "sources": [ { "db": "openalex", "stream": "UAV", "query_id": "UAV-1" }, { "db": "scopus", "stream": "UAV", "query_id": "UAV-1" } ], "streams": [ "UAV" ], "relevance_signals": [ "UAV" ], "auto_exclude_reason": null, "screening_status": "pending_human_screening", "screened_by": "auto-v1.0.0" }, { "id": "doi:10.1007/s11227-025-07124-x", "doi": "10.1007/s11227-025-07124-x", "title": "State of the art and taxonomy survey on federated learning and blockchain integration in UAV applications", "year": 2025, "authors": [ "Hela Alaya", "Asma Ben Letaïfa", "Abderrezak Rachedi" ], "first_author": "Hela Alaya", "venue": "The Journal of Supercomputing", "volume": "81", "pages": null, "type": "article", "language": "en", "abstract": null, "keywords": [ "Blockchain", "Computer science", "Taxonomy (biology)", "Federated learning", "Data science", "State (computer science)", "State of art", "Data integration", "Computer security", "Database", "World Wide Web", "Artificial intelligence" ], "cited_by_openalex": 11, "cited_by_scopus": "12", "eid": "2-s2.0-105001118915", "pii": null, "open_access_url": "https://doi.org/10.1007/s11227-025-07124-x", "sources": [ { "db": "openalex", "stream": "UAV", "query_id": "UAV-1" }, { "db": "scopus", "stream": "UAV", "query_id": "UAV-1" } ], "streams": [ "UAV" ], "relevance_signals": [ "UAV_NO_CTX" ], "auto_exclude_reason": "EC-4-topic", "screening_status": "auto_excluded", "screened_by": "auto-v1.0.0" }, { "id": "doi:10.1016/j.trb.2025.103378", "doi": "10.1016/j.trb.2025.103378", "title": "Robust optimization for truck-and-drone collaboration with travel time uncertainties", "year": 2025, "authors": [ "Wenbo Sun", "Lingxiao Wu", "Fangni Zhang" ], "first_author": "Wenbo Sun", "venue": "Transportation Research Part B Methodological", "volume": "204", "pages": null, "type": "article", "language": "en", "abstract": null, "keywords": [ "Truck", "Solver", "Drone", "Robust optimization", "Vehicle routing problem", "Routing (electronic design automation)", "Integer programming", "Linear programming" ], "cited_by_openalex": 12, "cited_by_scopus": "12", "eid": "2-s2.0-105025023842", "pii": "S0191261525002279", "open_access_url": "https://doi.org/10.1016/j.trb.2025.103378", "sources": [ { "db": "openalex", "stream": "UAV", "query_id": "UAV-2" }, { "db": "scopus", "stream": "UAV", "query_id": "UAV-2" } ], "streams": [ "UAV" ], "relevance_signals": [ "UAV_NO_CTX", "TRUCK_NO_CTX" ], "auto_exclude_reason": "EC-4-topic", "screening_status": "auto_excluded", "screened_by": "auto-v1.0.0" }, { "id": "doi:10.1016/j.dt.2025.06.025", "doi": "10.1016/j.dt.2025.06.025", "title": "Cross-platform mission planning for UAVs under carrier delivery mode", "year": 2025, "authors": [ "Junhong Jin", "Genlai Zhang", "Xin Yuan Li", "Xichao Su", "Chen Lu", "Yujie Cheng", "Yu Ding", "Lei Wang", "Xinwei Wang" ], "first_author": "Junhong Jin", "venue": "Defence Technology", "volume": "53", "pages": "76-97", "type": "article", "language": "en", "abstract": "As battlefield scale enlarges, cross-platform collaborative combat provides an appealing paradigm for modern warfare. Complicated constraints and vast solution space pose great challenge for reasonable and efficient mission planning, where path planning and target assignment are tightly coupled. In this paper, we focus on UAV mission planning under carrier delivery mode (e.g., by aircraft carrier, ground vehicle, or transport aircraft) and design a three-layer hierarchical solution framework. In the first layer, we simultaneously determine delivery points and target set division by clustering. To address the safety concerns of radar risk and UAV endurance, an improved density peak clustering algorithm is developed by constraint fusion. In the second layer, mission planning within each cluster is viewed as a cooperative multiple-task assignment problem. A hybrid heuristic algorithm that integrates a voting-based heuristic solution generation strategy (VHSG) and a stochastic variable neighborhood search (SVNS), called VHSG-SVNS, is proposed for rapid solution. Based on the results of the first two layers, the third layer transforms carrier path planning into a multiple-vehicle routing problem with time window. The cost between any two nodes is calculated by the A* algorithm, and the genetic algorithm is then implemented to determine the global route. Finally, a practical mission scenario containing 200 targets is used to validate the effectiveness of the designed framework, where three layers cooperate well with each other to generate satisfactory combat scheduling. Comparisons are made in each layer to highlight optimum-seeking capability and efficiency of the proposed algorithms. Works done in this paper provide a simple but efficient solution framework for cross-platform cooperative mission planning problems, and can be potentially extended to other applications such as post-disaster search and rescue, forest surveillance and firefighting, logistics pick and delivery, etc.", "keywords": [ "Mode (computer interface)", "Systems engineering", "Computer science", "Aerospace engineering", "Engineering", "Aeronautics", "Human–computer interaction" ], "cited_by_openalex": 12, "cited_by_scopus": "12", "eid": "2-s2.0-105012595123", "pii": "S2214914725002089", "open_access_url": "https://doi.org/10.1016/j.dt.2025.06.025", "sources": [ { "db": "openalex", "stream": "UAV", "query_id": "UAV-2" }, { "db": "scopus", "stream": "UAV", "query_id": "UAV-2" } ], "streams": [ "UAV" ], "relevance_signals": [ "UAV_NO_CTX" ], "auto_exclude_reason": "EC-4-topic", "screening_status": "auto_excluded", "screened_by": "auto-v1.0.0" }, { "id": "doi:10.1016/j.tranpol.2025.07.028", "doi": "10.1016/j.tranpol.2025.07.028", "title": "Passengers’ vertiport choices for integrated urban air mobility and airline services", "year": 2025, "authors": [ "Ying Zhao", "Yan Hu", "Tao Feng", "Anming Zhang" ], "first_author": "Ying Zhao", "venue": "Transport Policy", "volume": "171", "pages": "960-969", "type": "article", "language": "en", "abstract": "Vertiports are essential hubs for Urban Air Mobility (UAM) airport shuttles, however, passenger choice behavior in vertiports remains underexplored. In this paper, we conducted a stated choice experiment in Beijing and applied a mixed logit model with interaction effects to examine passengers’ heterogeneous choice preferences in the context of synchronized UAM and airline services. Results show passengers generally prefer small, nearby vertiports, integrated with public transport, and equipped with multiple facilities and services. Preferences vary notably among middle-income groups (100,000–200,000 CNY/year), and passengers with helicopter experience prefer less proximate vertiports due to noise and privacy concerns. Elasticity analyses underscore the critical influence of access distance, providing valuable insights for policymakers and UAM service providers in infrastructure planning and development.", "keywords": [ "Transport engineering", "Business", "Air travel", "Air transport", "Aviation", "Environmental planning", "Engineering", "Environmental science" ], "cited_by_openalex": 9, "cited_by_scopus": "12", "eid": "2-s2.0-105011375189", "pii": "S0967070X25002811", "open_access_url": "https://doi.org/10.1016/j.tranpol.2025.07.028", "sources": [ { "db": "openalex", "stream": "UAV", "query_id": "UAV-3" }, { "db": "scopus", "stream": "UAV", "query_id": "UAV-3" } ], "streams": [ "UAV" ], "relevance_signals": [ "UAV_NO_CTX" ], "auto_exclude_reason": "EC-4-topic", "screening_status": "auto_excluded", "screened_by": "auto-v1.0.0" }, { "id": "doi:10.1108/hff-11-2024-0857", "doi": "10.1108/hff-11-2024-0857", "title": "Physics-aware wind surrogate model for UAV aerodynamic response assessment", "year": 2025, "authors": [ "Gonzalo Veiga-Piñeiro", "Pablo Dominguez", "Enrique Aldao", "Gabriel Fontenla-Carrera", "Fernando Veiga-López", "Elena Martín", "H. González-Jorge" ], "first_author": "Gonzalo Veiga-Piñeiro", "venue": "International Journal of Numerical Methods for Heat & Fluid Flow", "volume": "35", "pages": "3583-3604", "type": "article", "language": "en", "abstract": "Purpose This study aims to use dimensionality reduction techniques applied to a detailed wind flow computational fluid dynamics (CFD)-generated database to develop a fast numerical tool that predicts, using the available weather forecast data, the airflow around any urban environment. The tool is aimed for its use in path planning design and optimization of unmanned aerial vehicles (UAVs) in urban mobility. Design/methodology/approach A complex urban site is selected as an example of vertiport. Geospatial data and land models are used to automate the CFD computational domain, mesh generation and terrain classification. To enhance efficiency, some mesh cells, corresponding to dense vegetation and remote buildings, are solved as porous media. After validation, a CFD database is created using a Reynolds-averaged Navier−Stokes model by sweeping different wind flow boundary conditions. The database is processed with high order singular value decomposition techniques, and interpolation methods enable real-time wind flow predictions, producing detailed maps with resolution under 1 m in approximately 1 s. Findings The surrogate model accelerates predictions by a factor of 7200 compared to direct CFD simulations while maintaining acceptable accuracy: mean relative deviations in velocity predictions near the buildings of interest are of the order of 2%. Examples of UAV trajectories and their dynamic responses are obtained using the developed tool. Originality/value The computational domain is automated using geospatial data, facilitating mesh classification and improving simulation efficiency. The surrogate model, which uses wind forecasts from the meteorological as inputs, provides real-time wind-flow predictions and improves UAV flight path design by identifying high-risk areas before take-off.", "keywords": [ "Aerodynamics", "Physics", "Aerospace engineering", "Aeronautics", "Mechanics", "Engineering" ], "cited_by_openalex": 11, "cited_by_scopus": "12", "eid": "2-s2.0-105000394811", "pii": null, "open_access_url": "https://www.emerald.com/hff/article-pdf/35/10/3583/10389550/hff-11-2024-0857en.pdf", "sources": [ { "db": "openalex", "stream": "UAV", "query_id": "UAV-3" }, { "db": "scopus", "stream": "UAV", "query_id": "UAV-3" } ], "streams": [ "UAV" ], "relevance_signals": [ "UAV_NO_CTX" ], "auto_exclude_reason": "EC-4-topic", "screening_status": "auto_excluded", "screened_by": "auto-v1.0.0" }, { "id": "doi:10.1016/j.conengprac.2025.106491", "doi": "10.1016/j.conengprac.2025.106491", "title": "Autonomous UAV last-mile delivery in urban environments: A survey on deep learning and reinforcement learning solutions", "year": 2025, "authors": [ "Guo J." ], "first_author": "Guo J.", "venue": "Control Engineering Practice", "volume": "165", "pages": null, "type": "Article", "language": null, "abstract": null, "keywords": [], "cited_by_openalex": 0, "cited_by_scopus": "12", "eid": "2-s2.0-105013186776", "pii": "S0967066125002539", "open_access_url": null, "sources": [ { "db": "scopus", "stream": "UAV", "query_id": "UAV-1" } ], "streams": [ "UAV" ], "relevance_signals": [ "UAV" ], "auto_exclude_reason": null, "screening_status": "pending_human_screening", "screened_by": "auto-v1.0.0" }, { "id": "doi:10.1007/s40747-025-01837-5", "doi": "10.1007/s40747-025-01837-5", "title": "Cooperative path planning optimization for ship-drone delivery in maritime supply operations", "year": 2025, "authors": [ "Li X." ], "first_author": "Li X.", "venue": "Complex and Intelligent Systems", "volume": "11", "pages": null, "type": "Article", "language": null, "abstract": null, "keywords": [], "cited_by_openalex": 0, "cited_by_scopus": "12", "eid": "2-s2.0-105001522157", "pii": null, "open_access_url": null, "sources": [ { "db": "scopus", "stream": "UAV", "query_id": "UAV-2" } ], "streams": [ "UAV" ], "relevance_signals": [ "UAV_NO_CTX" ], "auto_exclude_reason": "EC-4-topic", "screening_status": "auto_excluded", "screened_by": "auto-v1.0.0" }, { "id": "doi:10.3390/s25010072", "doi": "10.3390/s25010072", "title": "Bio-Inspired Algorithms for Efficient Clustering and Routing in Flying Ad Hoc Networks", "year": 2025, "authors": [ "Agrawal J." ], "first_author": "Agrawal J.", "venue": "Sensors", "volume": "25", "pages": null, "type": "Article", "language": null, "abstract": null, "keywords": [], "cited_by_openalex": 0, "cited_by_scopus": "12", "eid": "2-s2.0-85214445043", "pii": null, "open_access_url": null, "sources": [ { "db": "scopus", "stream": "UAV", "query_id": "UAV-2" } ], "streams": [ "UAV" ], "relevance_signals": [ "NO_TECHNOLOGY_MATCH" ], "auto_exclude_reason": "EC-4-topic", "screening_status": "auto_excluded", "screened_by": "auto-v1.0.0" }, { "id": "doi:10.1016/j.cie.2025.111477", "doi": "10.1016/j.cie.2025.111477", "title": "A literature review of collaborative truck and drone in last-mile delivery", "year": 2025, "authors": [ "Milad Faramarzzadeh", "Şener Akpınar" ], "first_author": "Milad Faramarzzadeh", "venue": "Computers & Industrial Engineering", "volume": "209", "pages": null, "type": "article", "language": "en", "abstract": null, "keywords": [ "Mile", "Drone", "Last mile (transportation)", "Truck", "Aeronautics", "Engineering", "Transport engineering", "Geography", "Aerospace engineering", "Geodesy", "Biology" ], "cited_by_openalex": 13, "cited_by_scopus": "11", "eid": "2-s2.0-105014497756", "pii": "S0360835225006230", "open_access_url": "https://doi.org/10.1016/j.cie.2025.111477", "sources": [ { "db": "openalex", "stream": "TRUCK", "query_id": "TRUCK-1" }, { "db": "openalex", "stream": "UAV", "query_id": "UAV-1" }, { "db": "scopus", "stream": "TRUCK", "query_id": "TRUCK-1" }, { "db": "scopus", "stream": "UAV", "query_id": "UAV-1" } ], "streams": [ "TRUCK", "UAV" ], "relevance_signals": [ "UAV", "TRUCK" ], "auto_exclude_reason": null, "screening_status": "pending_human_screening", "screened_by": "auto-v1.0.0" }, { "id": "doi:10.1016/j.rtbm.2025.101303", "doi": "10.1016/j.rtbm.2025.101303", "title": "The impacts of alternative last mile delivery networks: Exploring the options besides zero emission technology", "year": 2025, "authors": [ "Bram Kin", "Hans J. Quak" ], "first_author": "Bram Kin", "venue": "Research in Transportation Business & Management", "volume": "59", "pages": null, "type": "article", "language": "en", "abstract": null, "keywords": [ "Mile", "Last mile (transportation)", "Zero (linguistics)", "Zero emission", "Environmental science", "Computer science", "Engineering", "Geography", "Waste management" ], "cited_by_openalex": 7, "cited_by_scopus": "11", "eid": "2-s2.0-85216301947", "pii": "S2210539525000185", "open_access_url": "https://doi.org/10.1016/j.rtbm.2025.101303", "sources": [ { "db": "openalex", "stream": "TRUCK", "query_id": "TRUCK-1" }, { "db": "scopus", "stream": "TRUCK", "query_id": "TRUCK-1" } ], "streams": [ "TRUCK" ], "relevance_signals": [ "NO_TECHNOLOGY_MATCH" ], "auto_exclude_reason": "EC-4-topic", "screening_status": "auto_excluded", "screened_by": "auto-v1.0.0" }, { "id": "doi:10.1080/21681015.2025.2468201", "doi": "10.1080/21681015.2025.2468201", "title": "Optimizing multi-objective instant logistics with trucks and drones for the quick commerce order fulfilment", "year": 2025, "authors": [ "Haoran Ma", "Yung Po Tsang", "C.K.M. Lee" ], "first_author": "Haoran Ma", "venue": "Journal of Industrial and Production Engineering", "volume": "42", "pages": "516-532", "type": "article", "language": "en", "abstract": "Quick commerce (Q-commerce) is an emerging online retail model that demands near-instant order fulfillment and adapts to delivering goods with varying environmental requirements, including temperature-sensitive items. Addressing the complex optimization challenges in distribution, a gap in effective delivery route planning and tool utilization has been identified. This study introduces three innovations: (1) a formulation that reduces drone sub-route path computations for real-time decision-making, (2) a multi-objective instant delivery model employing both vehicles and drones, and (3) a multi-objective memetic algorithm that accounts for time windows and temperature variations. Computational experiments demonstrate that this approach outperforms traditional models, significantly enhancing delivery time satisfaction, product quality, and overall service efficiency. The model scales effectively to large order quantities while maintaining a high customer satisfaction rate of 97%. This research contributes to the industrial engineering literature by presenting a novel Q-commerce logistics model and offering insights into multi-objective optimization for last-mile delivery.", "keywords": [ "Instant", "Drone", "Order (exchange)", "Truck", "Computer science", "Operations management", "Operations research", "Business", "Computer security", "Economics", "Automotive engineering", "Mathematics" ], "cited_by_openalex": 8, "cited_by_scopus": "11", "eid": "2-s2.0-86000005288", "pii": null, "open_access_url": "https://doi.org/10.1080/21681015.2025.2468201", "sources": [ { "db": "openalex", "stream": "TRUCK", "query_id": "TRUCK-1" }, { "db": "openalex", "stream": "UAV", "query_id": "UAV-1" }, { "db": "scopus", "stream": "TRUCK", "query_id": "TRUCK-1" }, { "db": "scopus", "stream": "UAV", "query_id": "UAV-1" } ], "streams": [ "TRUCK", "UAV" ], "relevance_signals": [ "UAV", "TRUCK" ], "auto_exclude_reason": null, "screening_status": "pending_human_screening", "screened_by": "auto-v1.0.0" }, { "id": "doi:10.1109/tits.2025.3529181", "doi": "10.1109/tits.2025.3529181", "title": "Electric Vehicle Routing Optimization for Postal Delivery and Waste Collection in Smart Cities", "year": 2025, "authors": [ "Maria del Cacho Estil-les", "Agostino Marcello Mangini", "Michèle Roccotelli", "Maria Pia Fanti" ], "first_author": "Maria del Cacho Estil-les", "venue": "IEEE Transactions on Intelligent Transportation Systems", "volume": "26", "pages": "3307-3323", "type": "article", "language": "en", "abstract": "This paper addresses two important smart city logistics problems, i.e., Postal Delivery and Waste Collection, using Electric Vehicle Routing Problems. To this aim two Mixed Integer Linear Programming problems are formulated with the objective of carrying out the collection or delivery activities by minimizing the route length, respecting the working time, and considering the Electric Vehicles (EVs) battery charge constraints. While satisfying the customer needs under the mentioned traveling constraints, the proposed models take into account the implementation of smart charging strategies to minimize the demand peaks on the power grid both at district and charge station levels, that is suitable in large scale problems. To address the complexity of the models, a heuristic algorithm implementing clustering and routing strategies is proposed. Two case studies are implemented to demonstrate the effectiveness of the proposed models for Postal Delivery and Waste Collection activities in large systems.", "keywords": [ "Vehicle routing problem", "Electric vehicle", "Routing (electronic design automation)", "Automotive engineering", "City logistics", "Transport engineering", "Computer science", "Engineering", "Environmental science", "Computer network" ], "cited_by_openalex": 8, "cited_by_scopus": "11", "eid": "2-s2.0-105001060876", "pii": null, "open_access_url": "https://doi.org/10.1109/tits.2025.3529181", "sources": [ { "db": "openalex", "stream": "TRUCK", "query_id": "TRUCK-2" }, { "db": "scopus", "stream": "TRUCK", "query_id": "TRUCK-2" } ], "streams": [ "TRUCK" ], "relevance_signals": [ "NO_TECHNOLOGY_MATCH" ], "auto_exclude_reason": "EC-4-topic", "screening_status": "auto_excluded", "screened_by": "auto-v1.0.0" }, { "id": "doi:10.47760/ijcsmc.2025.v14i02.008", "doi": "10.47760/ijcsmc.2025.v14i02.008", "title": "Revolutionizing Route Optimization Systems with Artificial Intelligence for a Smarter, Sustainable Logistics Ecosystem", "year": 2025, "authors": [ "Khursheed Hussain" ], "first_author": "Khursheed Hussain", "venue": "International Journal of Computer Science and Mobile Computing", "volume": null, "pages": null, "type": "article", "language": "en", "abstract": "The rapid advancements in Artificial Intelligence (AI) and data analytics are transforming the logistics industry, enabling more innovative, more efficient, and sustainable transportation solutions. Traditional logistics systems face significant challenges, including inefficient order consolidation, underutilized vehicle capacity, static route planning, and a high environmental impact. These inefficiencies increase operational costs, delivery delays, and elevated carbon emissions, undermining sustainability goals. This study presents a novel AI-driven approach to optimizing route planning and logistics management through reinforcement learning and cloud-based data platforms. The proposed system integrates real-time data from IoT-enabled devices, GPS tracking, traffic analysis, and weather forecasts to dynamically optimize delivery routes. By leveraging machine learning algorithms, the system can anticipate disruptions and make real-time adjustments, leading to a 98% on-time delivery rate and significant reductions in fuel consumption. One of the key innovations of this approach is multi-segment optimization, which allows vehicles to manage multiple deliveries within a single route. This optimization reduces empty truck mileage, improves vehicle utilization and enhances cost efficiency. Additionally, predictive and prescriptive analytics enhance decision-making by forecasting potential delivery delays, enabling proactive interventions. The system's architecture is built on a scalable cloud-native platform, ensuring seamless data integration and high processing capacity for large-scale logistics operations. Interactive dashboards and digital twin technology provide logistics teams with real-time insights and scenario-based simulations, further improving decision-making and operational efficiency. The implementation of AI-driven logistics optimization has demonstrated measurable improvements, including reduction in delivery times, decrease in fuel consumption, and substantial cost savings across operations. Beyond operational efficiency, the proposed AI-powered system significantly contributes to sustainability efforts. By minimizing fuel consumption and optimizing vehicle utilization, it directly supports carbon footprint reduction initiatives in the logistics industry. The adaptability of this system makes it suitable for various logistics networks, from urban delivery fleets to long-haul transportation, enhancing overall supply chain resilience. This research underscores the transformative potential of AI and reinforcement learning in modern logistics. The findings establish a new benchmark for AI-driven logistics operations and open avenues for future enhancements, such as deeper IoT integration, the adoption of autonomous delivery models, and the exploration of quantum computing for further optimization. The study demonstrates that intelligent automation and data-driven decision-making are key to achieving smarter, more sustainable logistics operations in the future.", "keywords": [ "Ecosystem", "Computer science", "Environmental resource management", "Business", "Environmental science", "Ecology", "Biology" ], "cited_by_openalex": 11, "cited_by_scopus": 0, "eid": null, "pii": null, "open_access_url": "https://doi.org/10.47760/ijcsmc.2025.v14i02.008", "sources": [ { "db": "openalex", "stream": "TRUCK", "query_id": "TRUCK-2" }, { "db": "openalex", "stream": "TRUCK", "query_id": "TRUCK-3" } ], "streams": [ "TRUCK" ], "relevance_signals": [ "TRUCK" ], "auto_exclude_reason": null, "screening_status": "pending_human_screening", "screened_by": "auto-v1.0.0" }, { "id": "doi:10.1016/j.tre.2025.104375", "doi": "10.1016/j.tre.2025.104375", "title": "Multi-objective optimization of truck-drone cooperative routing problem based on customer classification and fuzzy time windows", "year": 2025, "authors": [ "Xianlong Ge", "Qiushuang Yin", "Md. Abdul Moktadir", "Jingzheng Ren" ], "first_author": "Xianlong Ge", "venue": "Transportation Research Part E Logistics and Transportation Review", "volume": "203", "pages": null, "type": "article", "language": "en", "abstract": null, "keywords": [ "Truck", "Drone", "Vehicle routing problem", "Fuzzy logic", "Routing (electronic design automation)", "Computer science", "Engineering", "Operations research", "Transport engineering", "Automotive engineering", "Artificial intelligence", "Computer network" ], "cited_by_openalex": 13, "cited_by_scopus": "11", "eid": "2-s2.0-105013547924", "pii": "S1366554525004168", "open_access_url": "https://doi.org/10.1016/j.tre.2025.104375", "sources": [ { "db": "openalex", "stream": "TRUCK", "query_id": "TRUCK-3" }, { "db": "openalex", "stream": "UAV", "query_id": "UAV-2" }, { "db": "scopus", "stream": "TRUCK", "query_id": "TRUCK-3" }, { "db": "scopus", "stream": "UAV", "query_id": "UAV-2" } ], "streams": [ "TRUCK", "UAV" ], "relevance_signals": [ "UAV_NO_CTX", "TRUCK_NO_CTX" ], "auto_exclude_reason": "EC-4-topic", "screening_status": "auto_excluded", "screened_by": "auto-v1.0.0" }, { "id": "doi:10.1016/j.apenergy.2025.125935", "doi": "10.1016/j.apenergy.2025.125935", "title": "Strategic fleet replacement for the electrification of heavy-duty road freight transportation", "year": 2025, "authors": [ "Jan Pouwel Bakker", "Jose A. Lopez Alvarez", "Jasper Veldman", "Paul Buijs" ], "first_author": "Jan Pouwel Bakker", "venue": "Applied Energy", "volume": "391", "pages": null, "type": "article", "language": "en", "abstract": "Electric trucks (ETs) have emerged as a promising solution for the decarbonization of road freight transportation . However, their adoption in the fleets of logistics companies poses considerable challenges. Fleet managers must balance trade-offs between investment in ETs and diesel trucks (DTs), evaluate the operational implications of evolving fleet compositions, and plan for the required depot charging infrastructure investments. To address these challenges, we propose a mixed-integer programming model to optimize truck purchasing and salvaging decisions over a multi-year planning horizon. The main novelty of this model lies in its explicit consideration of depot charging infrastructure investments and the use of public fast charging for long-haul transport. We apply the model to analyze the technical, economic, and organizational factors influencing the deployment of ETs into heavy-duty fleets. Our results demonstrate that adopting ETs can lead to lower total costs compared to fleets composed entirely of DTs. However, achieving those cost reductions hinges on the available budgets for substantial upfront capital investments and upgrades to the electricity grid connection at the depot. Moreover, the pace and scale of ET adoption are heavily influenced by the geographical distribution of customers. Specifically, when ETs can operate solely with depot charging, rapid adoption is optimal. In contrast, reliance on public fast charging makes the adoption of ETs slower and less certain. Current pricing for public fast-charging services remains prohibitively high, limiting the widespread adoption of ETs even if the purchasing costs for ETs continue to decline.", "keywords": [ "Electrification", "Heavy duty", "Transport engineering", "Business", "Fleet management", "Engineering", "Automotive engineering", "Electricity", "Electrical engineering" ], "cited_by_openalex": 18, "cited_by_scopus": "11", "eid": "2-s2.0-105002768916", "pii": "S0306261925006658", "open_access_url": "https://doi.org/10.1016/j.apenergy.2025.125935", "sources": [ { "db": "openalex", "stream": "TRUCK", "query_id": "TRUCK-3" }, { "db": "scopus", "stream": "TRUCK", "query_id": "TRUCK-3" } ], "streams": [ "TRUCK" ], "relevance_signals": [ "TRUCK_NO_CTX" ], "auto_exclude_reason": "EC-4-topic", "screening_status": "auto_excluded", "screened_by": "auto-v1.0.0" }, { "id": "doi:10.1016/j.tre.2025.104351", "doi": "10.1016/j.tre.2025.104351", "title": "The multi-visit parallel drone scheduling pickup and delivery problem considering multiple trips and time windows", "year": 2025, "authors": [ "Shanshan Meng" ], "first_author": "Shanshan Meng", "venue": "Transportation Research Part E Logistics and Transportation Review", "volume": "203", "pages": null, "type": "article", "language": "en", "abstract": null, "keywords": [ "Pickup", "TRIPS architecture", "Drone", "Scheduling (production processes)", "Computer science", "Vehicle routing problem", "Job shop scheduling", "Operations research", "Engineering", "Simulation", "Operations management", "Parallel computing" ], "cited_by_openalex": 13, "cited_by_scopus": "11", "eid": "2-s2.0-105012766991", "pii": "S1366554525003928", "open_access_url": "https://doi.org/10.1016/j.tre.2025.104351", "sources": [ { "db": "openalex", "stream": "TRUCK", "query_id": "TRUCK-3" }, { "db": "openalex", "stream": "UAV", "query_id": "UAV-2" }, { "db": "scopus", "stream": "TRUCK", "query_id": "TRUCK-3" }, { "db": "scopus", "stream": "UAV", "query_id": "UAV-2" } ], "streams": [ "TRUCK", "UAV" ], "relevance_signals": [ "UAV_NO_CTX" ], "auto_exclude_reason": "EC-4-topic", "screening_status": "auto_excluded", "screened_by": "auto-v1.0.0" }, { "id": "doi:10.1109/tvt.2025.3573595", "doi": "10.1109/tvt.2025.3573595", "title": "High-Efficiency Urban 3D Radio Map Estimation Based on Sparse Measurements", "year": 2025, "authors": [ "Xinwei Chen", "Xiaofeng Zhong", "Zijian Zhang", "Linglong Dai", "Shidong Zhou" ], "first_author": "Xinwei Chen", "venue": "IEEE Transactions on Vehicular Technology", "volume": "74", "pages": "16488-16493", "type": "article", "language": "en", "abstract": "Recent widespread applications for unmanned aerial vehicles (UAVs) – from infrastructure inspection to urban logistics – have prompted an urgent need for high-accuracy three-dimensional (3D) radio maps. However, existing methods designed for two-dimensional radio maps face challenges of high measurement costs and limited data availability when extended to 3D scenarios. To tackle these challenges, we first build a real-world large-scale 3D radio map dataset, covering over 4.2 million$\\rm {{m}}^{3}$and over 4 thousand data points in complex urban environments. We propose a Gaussian Process Regression-based scheme for 3D radio map estimation, allowing us to realize more accurate map recovery with a lower RMSE than state-of-the-art schemes by over 2.5dB. To further enhance data efficiency, we propose two methods for training point selection, including an offline clustering-based method and an online maximum a posterior (MAP)-based method. Extensive experiments demonstrate that the proposed scheme not only achieves full-map recovery with only 2% of UAV measurements, but also sheds light on future studies on 3D radio maps.", "keywords": [ "Computer science", "Remote sensing", "Electronic engineering", "Artificial intelligence", "Engineering", "Geography" ], "cited_by_openalex": 13, "cited_by_scopus": "11", "eid": "2-s2.0-105006924491", "pii": null, "open_access_url": "https://doi.org/10.1109/tvt.2025.3573595", "sources": [ { "db": "openalex", "stream": "UAV", "query_id": "UAV-1" }, { "db": "scopus", "stream": "UAV", "query_id": "UAV-1" } ], "streams": [ "UAV" ], "relevance_signals": [ "UAV" ], "auto_exclude_reason": null, "screening_status": "pending_human_screening", "screened_by": "auto-v1.0.0" }, { "id": "doi:10.3390/app15042207", "doi": "10.3390/app15042207", "title": "Time-Dependent Vehicle Routing Problem with Drones Under Vehicle Restricted Zones and No-Fly Zones", "year": 2025, "authors": [ "Shuo Wei", "Houming Fan", "Xiaoxue Ren", "Xiaolong Diao" ], "first_author": "Shuo Wei", "venue": "Applied Sciences", "volume": "15", "pages": null, "type": "article", "language": "en", "abstract": "This paper addresses the time-dependent vehicle routing problem with drones in vehicle-restricted zones and no-fly zones (TDVRPD-VRZ-NFZ). The optimization model considers the impacts of vehicle-restricted zones, no-fly zones, and time-dependent road networks on delivery paths. The objective is to minimize the total cost, including vehicle dispatch costs, energy consumption costs for vehicles and drones, and time-window penalty costs. The model is verified for correctness using Gurobi. In response to the problem’s characteristics, a hybrid genetic algorithm and variable neighborhood search with a learning mechanism (HGAVNS-LM) is proposed to solve the problem. The algorithm starts by generating the initial population using a combination of logistic mapping and reverse learning. It then improves the genetic operators and variable neighborhood search operators to optimize the initial population. To improve the algorithm’s performance, an individual elite archive is used for knowledge learning, and a self-learning mechanism is established to dynamically adjust the algorithm’s key parameters. The solution obtained by HGAVNS-LM shows a deviation of −0.2% to −0.3% compared to Gurobi, but it saves 99.68% in solving time. Compared to the genetic neighborhood search algorithm and the hybrid genetic algorithm, the improvement rates are 5.1% and 13.0%, respectively. Through the analysis of multiple sets of test cases, it is concluded that time-varying road networks, vehicle-restricted zones and no-fly zones, and different detour rules all affect delivery costs and delivery plans. The research results provide a more scientific theoretical basis for logistics companies to customize delivery solutions.", "keywords": [ "Drone", "Computer science", "Biology", "Genetics" ], "cited_by_openalex": 9, "cited_by_scopus": "11", "eid": "2-s2.0-85218451148", "pii": null, "open_access_url": "https://www.mdpi.com/2076-3417/15/4/2207/pdf?version=1739959335", "sources": [ { "db": "openalex", "stream": "UAV", "query_id": "UAV-2" }, { "db": "scopus", "stream": "UAV", "query_id": "UAV-2" } ], "streams": [ "UAV" ], "relevance_signals": [ "UAV_NO_CTX" ], "auto_exclude_reason": "EC-4-topic", "screening_status": "auto_excluded", "screened_by": "auto-v1.0.0" }, { "id": "doi:10.1109/tase.2025.3580473", "doi": "10.1109/tase.2025.3580473", "title": "A Two-Phase Planner for Messenger Routing Problem in UAV-UGV Coordination Systems", "year": 2025, "authors": [ "Zhao Zhang", "Chen Chen", "Lingda Wang", "Yulong Ding", "Fang Yi Deng" ], "first_author": "Zhao Zhang", "venue": "IEEE Transactions on Automation Science and Engineering", "volume": "22", "pages": "16948-16963", "type": "article", "language": "en", "abstract": "In this paper, a new Messenger Routing Problem (MRP) is studied, which is motivated by Unmanned Aerial Vehicles (UAVs) accessing Unmanned Ground Vehicles (UGVs) to deliver information in UAV-UGV coordination systems. The objective is to minimize the longest path among multiple messengers, ensuring fast and reliable information transmission. Two key challenges arise in tackling this problem. First, the targets are moving, incurring the travel cost between targets to vary with the travel process. Second, the messengers accessing the neighborhood of targets needs to satisfy the communication time constraint. Based on the idea of decoupling, a two-phase planner is proposed to sequentially determine global access sequence and optimize local access locations. In the first phase, a motion prediction module is introduced in the Adaptive Large Neighborhood Search (ALNS) framework to deal with the dynamic characteristics of MRP. In the second phase, an efficient bisection sampling method based on the prediction points is proposed to obtain a shorter access path while satisfying the communication time constraint. Finally, the effectiveness and efficiency of the proposed method are demonstrated by performance evaluation and comparison with the state-of-the-art algorithms.", "keywords": [ "Planner", "Routing (electronic design automation)", "Computer science", "Remotely operated underwater vehicle", "Phase (matter)", "Robot kinematics", "Telerobotics", "Mobile robot", "Engineering", "Distributed computing", "Robot", "Real-time computing" ], "cited_by_openalex": 6, "cited_by_scopus": "11", "eid": "2-s2.0-105008920522", "pii": null, "open_access_url": "https://doi.org/10.1109/tase.2025.3580473", "sources": [ { "db": "openalex", "stream": "UAV", "query_id": "UAV-2" }, { "db": "scopus", "stream": "UAV", "query_id": "UAV-2" } ], "streams": [ "UAV" ], "relevance_signals": [ "UAV_NO_CTX" ], "auto_exclude_reason": "EC-4-topic", "screening_status": "auto_excluded", "screened_by": "auto-v1.0.0" }, { "id": "doi:10.1109/jiot.2025.3584277", "doi": "10.1109/jiot.2025.3584277", "title": "Centralized Task Allocation for Multiple UAVs in Time-Constraint Industrial IoT Operations", "year": 2025, "authors": [ "Mohamad Abou Houran", "Gautam Srivastava", "Jawad Mirza", "Ali Ranjha", "Muhammad Awais Javed", "Muhammad Hamza Zafar" ], "first_author": "Mohamad Abou Houran", "venue": "IEEE Internet of Things Journal", "volume": "12", "pages": "37529-37537", "type": "article", "language": "en", "abstract": "The industrial Internet of Things (IoT) allows real-time monitoring and operational efficiency by enabling automated processes in industrial environments. In this paper, we propose a centralized task assignment framework for industrial IoT scenarios, focusing on light cargo delivery to specific locations via Unmanned Aerial Vehicles (UAVs). The task assignment problem is formulated as a Capacitated Vehicle Routing Problem (CVRP) with the objective of minimizing the maximum route distance among all UAVs. To solve CVRP, we employ a learning-based approach using an Attention Model (AM), which utilizes a deep learning framework with an encoder-decoder architecture to generate optimized UAV routes while satisfying the capacity constraints of UAVs. The AM is trained using policy gradient reinforcement learning to ensure that the solutions are both efficient and scalable. Numerical results demonstrate the effectiveness of the AM-based framework in delivering solutions that minimize the maximum tour length for deliveries.", "keywords": [ "Computer science", "Task (project management)", "Constraint (computer-aided design)", "Time constraint", "Internet of Things", "Resource allocation", "Computer network", "Distributed computing", "Real-time computing", "Computer security", "Engineering" ], "cited_by_openalex": 10, "cited_by_scopus": "11", "eid": "2-s2.0-105009606597", "pii": null, "open_access_url": "https://doi.org/10.1109/jiot.2025.3584277", "sources": [ { "db": "openalex", "stream": "UAV", "query_id": "UAV-2" }, { "db": "scopus", "stream": "UAV", "query_id": "UAV-2" } ], "streams": [ "UAV" ], "relevance_signals": [ "UAV_NO_CTX" ], "auto_exclude_reason": "EC-4-topic", "screening_status": "auto_excluded", "screened_by": "auto-v1.0.0" }, { "id": "doi:10.1016/j.ejor.2025.02.029", "doi": "10.1016/j.ejor.2025.02.029", "title": "The Robust Bike sharing Rebalancing Problem: Formulations and a branch-and-cut algorithm", "year": 2025, "authors": [ "Bruck B.P." ], "first_author": "Bruck B.P.", "venue": "European Journal of Operational Research", "volume": "325", "pages": "67-80", "type": "Article", "language": null, "abstract": null, "keywords": [], "cited_by_openalex": 0, "cited_by_scopus": "11", "eid": "2-s2.0-105003767224", "pii": "S0377221725001523", "open_access_url": null, "sources": [ { "db": "scopus", "stream": "TRUCK", "query_id": "TRUCK-2" } ], "streams": [ "TRUCK" ], "relevance_signals": [ "NO_TECHNOLOGY_MATCH" ], "auto_exclude_reason": "EC-4-topic", "screening_status": "auto_excluded", "screened_by": "auto-v1.0.0" }, { "id": "doi:10.1016/j.aei.2025.103324", "doi": "10.1016/j.aei.2025.103324", "title": "A cost-efficiency analysis of drones in revolutionizing intra-city express services", "year": 2025, "authors": [ "Xiao Chu", "Shuiwang Chen", "Kai Wang", "Lingxiao Wu", "Gangyan Xu" ], "first_author": "Xiao Chu", "venue": "Advanced Engineering Informatics", "volume": "65", "pages": null, "type": "article", "language": "en", "abstract": null, "keywords": [ "Drone", "Computer science", "Engineering", "Computer security", "Biology" ], "cited_by_openalex": 9, "cited_by_scopus": "10", "eid": "2-s2.0-105002556010", "pii": "S1474034625002174", "open_access_url": "https://doi.org/10.1016/j.aei.2025.103324", "sources": [ { "db": "openalex", "stream": "TRUCK", "query_id": "TRUCK-1" }, { "db": "openalex", "stream": "UAV", "query_id": "UAV-1" }, { "db": "openalex", "stream": "UAV", "query_id": "UAV-3" }, { "db": "scopus", "stream": "TRUCK", "query_id": "TRUCK-1" }, { "db": "scopus", "stream": "UAV", "query_id": "UAV-1" }, { "db": "scopus", "stream": "UAV", "query_id": "UAV-3" } ], "streams": [ "TRUCK", "UAV" ], "relevance_signals": [ "UAV_NO_CTX" ], "auto_exclude_reason": "EC-4-topic", "screening_status": "auto_excluded", "screened_by": "auto-v1.0.0" }, { "id": "doi:10.21203/rs.3.rs-6086101/v1", "doi": "10.21203/rs.3.rs-6086101/v1", "title": "AI-Driven Digital Transformation and Sustainable Logistics: Innovations in Global Supply Chain Management", "year": 2025, "authors": [ "Ghazaleh Kermani Moghaddam", "Mostafa Karimzadeh" ], "first_author": "Ghazaleh Kermani Moghaddam", "venue": "Research Square", "volume": null, "pages": null, "type": "preprint", "language": "en", "abstract": null, "keywords": [ "Digital transformation", "Business", "Supply chain", "Supply chain management", "Transformation (genetics)", "Industrial organization", "Process management", "Manufacturing engineering", "Computer science", "Engineering", "Marketing", "Chemistry" ], "cited_by_openalex": 10, "cited_by_scopus": 0, "eid": null, "pii": null, "open_access_url": "https://doi.org/10.21203/rs.3.rs-6086101/v1", "sources": [ { "db": "openalex", "stream": "TRUCK", "query_id": "TRUCK-1" }, { "db": "openalex", "stream": "UAV", "query_id": "UAV-1" } ], "streams": [ "TRUCK", "UAV" ], "relevance_signals": [ "NO_TECHNOLOGY_MATCH" ], "auto_exclude_reason": "EC-4-topic", "screening_status": "auto_excluded", "screened_by": "auto-v1.0.0" }, { "id": "doi:10.1016/j.tust.2025.106483", "doi": "10.1016/j.tust.2025.106483", "title": "A systematic review on underground logistics system: designs, impacts, and future directions", "year": 2025, "authors": [ "Fengshan Li", "Kum Fai Yuen" ], "first_author": "Fengshan Li", "venue": "Tunnelling and Underground Space Technology", "volume": "159", "pages": null, "type": "review", "language": "en", "abstract": null, "keywords": [ "Engineering", "Computer science" ], "cited_by_openalex": 10, "cited_by_scopus": "10", "eid": "2-s2.0-85217890369", "pii": "S088677982500121X", "open_access_url": "https://doi.org/10.1016/j.tust.2025.106483", "sources": [ { "db": "openalex", "stream": "TRUCK", "query_id": "TRUCK-2" }, { "db": "scopus", "stream": "TRUCK", "query_id": "TRUCK-2" } ], "streams": [ "TRUCK" ], "relevance_signals": [ "NO_TECHNOLOGY_MATCH" ], "auto_exclude_reason": "EC-4-topic", "screening_status": "auto_excluded", "screened_by": "auto-v1.0.0" }, { "id": "doi:10.1016/j.scs.2025.106134", "doi": "10.1016/j.scs.2025.106134", "title": "Beyond the last-mile: Environmental and economic assessment of the upcoming drone takeaway delivery system", "year": 2025, "authors": [ "Zhi Li", "Siqi Zhou", "Bohan Wang", "Tingxi Zhang", "Shuang Guo" ], "first_author": "Zhi Li", "venue": "Sustainable Cities and Society", "volume": "120", "pages": null, "type": "article", "language": "en", "abstract": null, "keywords": [ "Drone", "Mile", "Last mile (transportation)", "Engineering", "Architectural engineering", "Aeronautics", "Civil engineering", "Transport engineering", "Geography" ], "cited_by_openalex": 17, "cited_by_scopus": "10", "eid": "2-s2.0-85214834856", "pii": "S2210670725000125", "open_access_url": "https://doi.org/10.1016/j.scs.2025.106134", "sources": [ { "db": "openalex", "stream": "UAV", "query_id": "UAV-1" }, { "db": "scopus", "stream": "UAV", "query_id": "UAV-1" } ], "streams": [ "UAV" ], "relevance_signals": [ "UAV" ], "auto_exclude_reason": null, "screening_status": "pending_human_screening", "screened_by": "auto-v1.0.0" }, { "id": "doi:10.1016/j.sftr.2025.100536", "doi": "10.1016/j.sftr.2025.100536", "title": "Prioritizing sustainable solutions to mitigate risks in drone-based last-mile delivery", "year": 2025, "authors": [ "Chandresh B. Kumbhani", "Ravi Kant", "Ravi Shankar" ], "first_author": "Chandresh B. Kumbhani", "venue": "Sustainable Futures", "volume": "9", "pages": null, "type": "article", "language": "en", "abstract": "• We propose sustainable solutions to mitigate drone delivery risks. • Spherical fuzzy sets are used to handle uncertainty and hesitation. • Fuzzy C-means clustering is used for clustering drone delivery risks and solutions. • This framework is most suitable for drone practitioners and government authorities. The drone integration into last-mile delivery networks presents substantial opportunities for enhancing sustainability and efficiency. However, drone integration into the existing logistics framework presents numerous risks, particularly operational safety and reliability. This study addresses these gaps by proposing a novel hybrid framework for systematically evaluating and mitigating risks in drone-based sustainable last-mile delivery. This framework incorporates spherical fuzzy decision-making trial and evaluation laboratory (SF-DEMATEL), spherical fuzzy C-means clustering (SFCMC), and spherical fuzzy evaluation based on distance from average solution (SF-EDAS) using the Indian logistics sector as a case study. The results reveal that technical-related risks, customer adoption risks, and government rules and regulatory risks are critical risk clusters for drones in the last-mile delivery applications. Significant DDSs are strict regulations from the government being the most crucial, followed by provide public education and awareness and workforce retraining. Sensitivity and comparative analysis are conducted to validate the robustness of the framework. This approach holds promise for decision-makers, researchers, practitioners, and stakeholders in the drone industry seeking to make informed choices about risk mitigation strategies.", "keywords": [ "Drone", "Mile", "Last mile (transportation)", "Business", "Aeronautics", "Engineering", "Geography", "Biology" ], "cited_by_openalex": 8, "cited_by_scopus": "10", "eid": "2-s2.0-105000378047", "pii": "S2666188825001066", "open_access_url": "https://doi.org/10.1016/j.sftr.2025.100536", "sources": [ { "db": "openalex", "stream": "UAV", "query_id": "UAV-1" }, { "db": "scopus", "stream": "UAV", "query_id": "UAV-1" } ], "streams": [ "UAV" ], "relevance_signals": [ "UAV" ], "auto_exclude_reason": null, "screening_status": "pending_human_screening", "screened_by": "auto-v1.0.0" }, { "id": "doi:10.1108/rausp-07-2024-0146", "doi": "10.1108/rausp-07-2024-0146", "title": "Strategic insights into last-mile delivery: modelling the industry 4.0 enabler for e-commerce industry", "year": 2025, "authors": [ "Vijay Prakash Sharma", "Surya Prakash", "Ranbir Singh", "Ravindra Ojha", "Bharti Ramtiyal" ], "first_author": "Vijay Prakash Sharma", "venue": "RAUSP Management Journal", "volume": "60", "pages": "143-168", "type": "article", "language": "en", "abstract": "Purpose Excellent customer experience with doorstep delivery is one of the motivations for online purchasing and e-commerce. Optimal technology-driven last-mile delivery is the backbone of this business model. This paper aims to identify industry 4.0 (I4.0) technology-based enablers for efficient e-commerce logistics for last-mile delivery (LMD) operations. Design/methodology/approach This study adopts an empirically grounded quantitative approach for defining and analysing the I4.0 technology enablers for efficient LMD operations. It adopts interpretive structural modelling and matrice d’impacts croisés multiplication appliquée á un classement analysis to identify the dependency and relationship among the identified enablers. Findings The transformation technologies of I4.0 offer a comprehensive package to handle LMD and e-commerce business challenges. This research identified that LMD and logistics will be dominated by autonomous running vehicles, drones and robots; apart from that, in I4.0 adoption cases, the implementation of radio-frequency identification was found suitable for efficient logistics networks. In addition, digitalisation through digital twins, robots, autonomous vehicles and Internet of Things adoption was found to drive the system and is crucial for strategic action. Research limitations/implications The findings of this research help companies and the e-commerce industry to evaluate strategic technological investments in promising I4.0 for LMD. The study also helps managers to focus on initiating and integrating digital technologies and autonomous vehicles, drones and robots focused on LMD improvement. Practical implications The findings of this research help companies and the e-commerce industry to evaluate strategic technological investments in promising I4.0 for LMD. The study also helps managers to focus on initiating and integrating digital technologies and autonomous vehicles, drones and robots focused on LMD improvement. Social implications Industry 4.0 technologies enable more efficient route planning, reducing fuel consumption and lowering carbon emissions. Optimised delivery networks reduce waste and ensure more efficient use of resources by using suggested technologies. Originality/value This study presents strategic insights into LMD and I4.0 enablers for the e-commerce environment. It proposes a theoretical framework that can serve as a roadmap for implementing I4.0 technologies to address unaddressed bottlenecks in LMD operations, lowering the logistics network’s efficiency.", "keywords": [ "Enabling", "Last mile (transportation)", "Mile", "Business", "E-commerce", "Marketing", "Industrial organization", "Commerce", "Computer science", "Geography", "World Wide Web", "Psychology" ], "cited_by_openalex": 12, "cited_by_scopus": "10", "eid": "2-s2.0-105005583583", "pii": null, "open_access_url": "https://www.emerald.com/insight/content/doi/10.1108/RAUSP-07-2024-0146/full/pdf?title=strategic-insights-into-last-mile-delivery-modelling-the-industry-40-enabler-for-e-commerce-industry", "sources": [ { "db": "openalex", "stream": "UAV", "query_id": "UAV-1" }, { "db": "scopus", "stream": "UAV", "query_id": "UAV-1" } ], "streams": [ "UAV" ], "relevance_signals": [ "UAV" ], "auto_exclude_reason": null, "screening_status": "pending_human_screening", "screened_by": "auto-v1.0.0" }, { "id": "doi:10.1007/s13132-025-02680-2", "doi": "10.1007/s13132-025-02680-2", "title": "A Way of Optimization of Last-Mile Logistics Operations. A Knowledge-Driven Literature review", "year": 2025, "authors": [ "Muhammad Ali Aslam", "Zhaolei Li" ], "first_author": "Muhammad Ali Aslam", "venue": "Journal of the Knowledge Economy", "volume": "17", "pages": "1414-1447", "type": "article", "language": "en", "abstract": null, "keywords": [ "Mile", "Entrepreneurship", "Last mile (transportation)", "Business", "Marketing", "Operations management", "Knowledge management", "Computer science", "Engineering", "Geography" ], "cited_by_openalex": 10, "cited_by_scopus": "10", "eid": "2-s2.0-105024100029", "pii": null, "open_access_url": "https://doi.org/10.1007/s13132-025-02680-2", "sources": [ { "db": "openalex", "stream": "UAV", "query_id": "UAV-1" }, { "db": "scopus", "stream": "UAV", "query_id": "UAV-1" } ], "streams": [ "UAV" ], "relevance_signals": [ "NO_TECHNOLOGY_MATCH" ], "auto_exclude_reason": "EC-4-topic", "screening_status": "auto_excluded", "screened_by": "auto-v1.0.0" }, { "id": "doi:10.1016/j.jairtraman.2024.102736", "doi": "10.1016/j.jairtraman.2024.102736", "title": "MILP-based cost and time-competitive vehicle routing problem for last-mile delivery service using a swarm of UAVs and UGVs", "year": 2025, "authors": [ "Sunghun Jung" ], "first_author": "Sunghun Jung", "venue": "Journal of Air Transport Management", "volume": "124", "pages": null, "type": "article", "language": "en", "abstract": null, "keywords": [ "Vehicle routing problem", "Last mile (transportation)", "Mile", "Routing (electronic design automation)", "Computer science", "Swarm behaviour", "Service (business)", "Mathematical optimization", "Operations research", "Transport engineering", "Engineering", "Business" ], "cited_by_openalex": 7, "cited_by_scopus": "10", "eid": "2-s2.0-85213562941", "pii": "S0969699724002011", "open_access_url": "https://doi.org/10.1016/j.jairtraman.2024.102736", "sources": [ { "db": "openalex", "stream": "UAV", "query_id": "UAV-1" }, { "db": "openalex", "stream": "UAV", "query_id": "UAV-2" }, { "db": "scopus", "stream": "UAV", "query_id": "UAV-1" }, { "db": "scopus", "stream": "UAV", "query_id": "UAV-2" } ], "streams": [ "UAV" ], "relevance_signals": [ "UAV" ], "auto_exclude_reason": null, "screening_status": "pending_human_screening", "screened_by": "auto-v1.0.0" }, { "id": "doi:10.1287/ijoc.2023.0484", "doi": "10.1287/ijoc.2023.0484", "title": "A Branch-and-Price Algorithm for Robust Drone-Vehicle Routing Problem with Time Windows", "year": 2025, "authors": [ "Jaegwan Joo", "Chungmok Lee" ], "first_author": "Jaegwan Joo", "venue": "INFORMS journal on computing", "volume": "38", "pages": "102-125", "type": "article", "language": "en", "abstract": "This paper considers a cooperative routing problem in which trucks and multiple drones serve a set of customers collaboratively. A truck can operate as a drone station, dispatching and collecting multiple drones for nearby customers to overcome the drone’s short operation range. Each customer has a time window, so either a truck or a drone must serve the customer within the time window. The travel time uncertainties of the truck and drone are addressed by adopting the robust optimization approach. We first present a compact mathematical formulation for the problem. Then, we develop a decomposition approach based on the branch-and-price framework. After defining extended variables for trucks and drones separately, we decompose the column generation subproblem into two optimization problems, resulting in a two-phase column generation algorithm. We also develop a heuristic algorithm based on the proposed column generation scheme for larger instances. The results of numerical experiments, including real-life benchmark instances, show that the proposed algorithm outperforms the state-of-the-art mixed-integer programming solver. History: Accepted by Andrea Lodi, Area Editor for Design & Analysis of Algorithms—Discrete. Funding: Financial support from the Basic Science Research Program through the National Research Foundation of Korea funded by the Ministry of Science, ICT & Future Planning [Grant NRF-2021R1F1A1 048540] is gratefully acknowledged. C. Lee was supported by the Hankuk University of Foreign Studies Research Fund. Supplemental Material: The software that supports the findings of this study is available within the paper and its Supplemental Information ( https://pubsonline.informs.org/doi/suppl/10.1287/ijoc.2023.0484 ), as well as from the IJOC GitHub software repository ( https://github.com/INFORMSJoC/2023.0484 ). The complete IJOC Software and Data Repository is available at https://informsjoc.github.io/ .", "keywords": [ "Vehicle routing problem", "Drone", "Computer science", "Branch and price", "Routing (electronic design automation)", "Mathematical optimization", "Algorithm", "Integer programming", "Mathematics", "Embedded system" ], "cited_by_openalex": 7, "cited_by_scopus": "10", "eid": "2-s2.0-105031098278", "pii": null, "open_access_url": "https://doi.org/10.1287/ijoc.2023.0484", "sources": [ { "db": "openalex", "stream": "UAV", "query_id": "UAV-2" }, { "db": "scopus", "stream": "UAV", "query_id": "UAV-2" } ], "streams": [ "UAV" ], "relevance_signals": [ "UAV_NO_CTX", "TRUCK_NO_CTX" ], "auto_exclude_reason": "EC-4-topic", "screening_status": "auto_excluded", "screened_by": "auto-v1.0.0" }, { "id": "doi:10.1016/j.tre.2025.104601", "doi": "10.1016/j.tre.2025.104601", "title": "A two-stage adaptive robust optimization model for the location-routing problem with drone delivery and uncertainty in humanitarian relief", "year": 2025, "authors": [ "Yongjian Yang", "Chenglong Li", "Dujuan Wang", "Yunqiang Yin", "T.C.E. Cheng" ], "first_author": "Yongjian Yang", "venue": "Transportation Research Part E Logistics and Transportation Review", "volume": "207", "pages": null, "type": "article", "language": "en", "abstract": null, "keywords": [ "Solver", "Robustness (evolution)", "Robust optimization", "Drone", "Scheme (mathematics)", "Integer programming", "Key (lock)", "Vehicle routing problem", "Set (abstract data type)" ], "cited_by_openalex": 11, "cited_by_scopus": "10", "eid": "2-s2.0-105044285079", "pii": "S1366554525006295", "open_access_url": "https://doi.org/10.1016/j.tre.2025.104601", "sources": [ { "db": "openalex", "stream": "UAV", "query_id": "UAV-2" }, { "db": "scopus", "stream": "UAV", "query_id": "UAV-2" } ], "streams": [ "UAV" ], "relevance_signals": [ "UAV_NO_CTX" ], "auto_exclude_reason": "EC-4-topic", "screening_status": "auto_excluded", "screened_by": "auto-v1.0.0" }, { "id": "doi:10.1016/j.trc.2025.105165", "doi": "10.1016/j.trc.2025.105165", "title": "Path pool based transformer model in reinforcement framework for dynamic urban drone delivery problem", "year": 2025, "authors": [ "Chuankai Xiang", "Yanfang Mo", "Wei Liu", "Zhibin Wu", "Lishuai Li" ], "first_author": "Chuankai Xiang", "venue": "Transportation Research Part C Emerging Technologies", "volume": null, "pages": null, "type": "article", "language": "en", "abstract": "Unmanned Aerial Vehicles (UAVs), particularly drones used for delivery, represent a rapidly expanding segment of the commercial services industry. A critical challenge for scaling operations is the real-time scheduling of a large fleet of drones. This paper addresses the dynamic urban drone delivery problem, focusing on the assignment of orders and the routing of drones. The complexity of such dynamic optimization problems increases exponentially with the drone fleet size and the intricacy of their routing networks, making traditional exact and heuristic algorithms insufficient for effective resolution. To tackle this computational complexity, we introduce a novel Path Pool-based Transformer model combined with Reinforcement Learning (PPTRL). Unlike existing transformer-based models that predict the next node using only the embedding of the previously visited node, our model employs a dependency decay pooling strategy (DDPS) that incorporates the entire path context of the drone into the decision-making process. By leveraging the full path context, our approach captures long-term dependencies in routing decisions, leading to more globally efficient paths. The experimental results confirm the efficacy of the path pool approach. Experimentally, our model achieves near-optimal performance on small-scale problems with significantly reduced runtime compared to Gurobi. For larger-scale problems, our approach surpasses both heuristics and advanced learning-based algorithms in performance. Furthermore, our method demonstrates excellent scalability and robustness against variations in fleet size and the proportion of dynamically arriving tasks and shows good capabilities in the real-world scenario. © 2025 The Authors.", "keywords": [ "Drone", "Reinforcement learning", "Transformer", "Reinforcement", "Engineering", "Motion planning", "Computer science", "Simulation", "Transport engineering", "Operations research", "Artificial intelligence", "Electrical engineering" ], "cited_by_openalex": 10, "cited_by_scopus": 0, "eid": null, "pii": null, "open_access_url": "https://doi.org/10.1016/j.trc.2025.105165", "sources": [ { "db": "openalex", "stream": "UAV", "query_id": "UAV-2" } ], "streams": [ "UAV" ], "relevance_signals": [ "UAV_NO_CTX" ], "auto_exclude_reason": "EC-4-topic", "screening_status": "auto_excluded", "screened_by": "auto-v1.0.0" }, { "id": "doi:10.1109/tase.2025.3530425", "doi": "10.1109/tase.2025.3530425", "title": "Parallel Inspection Route Optimization With Priorities for 5G Base Station Networks", "year": 2025, "authors": [ "Xiangqi Dai", "Zhenglin Liang" ], "first_author": "Xiangqi Dai", "venue": "IEEE Transactions on Automation Science and Engineering", "volume": "22", "pages": "10860-10870", "type": "article", "language": "en", "abstract": "5G base station networks generate numerous alarms daily. With the increasing demand for digital services, it is vital to inspect and rectify anomalies to uphold user satisfaction. This study explores the potential of unmanned aerial vehicle (UAV) empowered opportunistic inspection based on alarm data. We formulate the inspection routing problem as a prioritized traveling salesman problem (PTSP) encompassing two categories of base stations. Priority is assigned to stations generating more alarms, while others are subject to opportunistic inspection. To expedite large-scale opportunistic inspection routes, we introduce a novel transformer-based parallelizable routing algorithm (TPRA). TPRA is an intelligent optimization that orchestrates multiple parallelized constrained reinforcement learning algorithms. Through balancing spectral clustering, the large-scale graph is segmented into manageable subgraphs. For each subgraph, the prioritized inspection routing problem is formulated as a constrained Markov decision process and optimized by transformer-based reinforcement learning in parallel. The optimized subgraphs are then merged using an adaptive large neighborhood search approach. Through parallel computing, our approach achieves as much as 75% reduction in computation time, while concurrently generating shorter routes. The approach is implemented in real-world cases to validate its efficacy. Note to Practitioners—The rapid expansion of 5G infrastructure underscores the critical need for advanced technology and maintenance strategies. Base stations are often placed at high altitudes to ensure line-of-sight connectivity, which poses difficulties for maintenance, particularly in challenging terrains. UAVs offer a promising solution for faster and safer inspection and rectification. The designed approach utilizes reinforcement learning in parallel to optimize UAV inspection routes in an opportunistic manner. This method strategically prioritizes inspection routes based on the real-time base station alarm data, ensuring a swift and effective response to potential issues. Trained in simulated scenarios, the model requires few adjustments for real-world deployment, making it readily implementable in 5G networks. Beyond the potential of the 5G network, the approach also unlocks new value across various types of service in the low-altitude economy.", "keywords": [ "Base station", "Computer science", "Base (topology)", "Computer network", "Engineering" ], "cited_by_openalex": 7, "cited_by_scopus": "10", "eid": "2-s2.0-105003028385", "pii": null, "open_access_url": "https://doi.org/10.1109/tase.2025.3530425", "sources": [ { "db": "openalex", "stream": "UAV", "query_id": "UAV-2" }, { "db": "scopus", "stream": "UAV", "query_id": "UAV-2" } ], "streams": [ "UAV" ], "relevance_signals": [ "UAV_NO_CTX" ], "auto_exclude_reason": "EC-4-topic", "screening_status": "auto_excluded", "screened_by": "auto-v1.0.0" }, { "id": "doi:10.1016/j.ast.2025.109971", "doi": "10.1016/j.ast.2025.109971", "title": "Assessing prominent eVTOLs based on vertiport throughput, noise, and speed using multi-dimensional pareto fronts", "year": 2025, "authors": [ "Lukas Preis", "Mark T. Kotwicz Herniczek", "Brian German" ], "first_author": "Lukas Preis", "venue": "Aerospace Science and Technology", "volume": "159", "pages": null, "type": "article", "language": "en", "abstract": null, "keywords": [ "Throughput", "Pareto principle", "Noise (video)", "Computer science", "Multi-objective optimization", "Acoustics", "Physics", "Mathematical optimization", "Mathematics", "Artificial intelligence", "Telecommunications", "Machine learning" ], "cited_by_openalex": 11, "cited_by_scopus": "10", "eid": "2-s2.0-85216257712", "pii": "S1270963825000446", "open_access_url": "https://doi.org/10.1016/j.ast.2025.109971", "sources": [ { "db": "openalex", "stream": "UAV", "query_id": "UAV-3" }, { "db": "scopus", "stream": "UAV", "query_id": "UAV-3" } ], "streams": [ "UAV" ], "relevance_signals": [ "UAV_NO_CTX" ], "auto_exclude_reason": "EC-4-topic", "screening_status": "auto_excluded", "screened_by": "auto-v1.0.0" }, { "id": "doi:10.1016/j.trc.2025.105111", "doi": "10.1016/j.trc.2025.105111", "title": "On-demand ridesharing based on dynamic scheduling in urban air mobility", "year": 2025, "authors": [ "Shanghan Li", "Tengfei Zhang", "Yiyong Xiao", "Daqing Li" ], "first_author": "Shanghan Li", "venue": "Transportation Research Part C Emerging Technologies", "volume": null, "pages": null, "type": "article", "language": "en", "abstract": "Urban Air Mobility (UAM) utilizes electric vertical take-off and landing (eVTOL) aircraft to provide fast, reliable air transport services in cities and surrounding areas. As a flexible mode of transportation service, UAM ridesharing can provide convenient and adaptive multi-modal on-demand travel. In this scenario, multi-modal mobility-on-demand service providers can offer traditional door-to-door ridesharing with an integrated solution, through connecting users to eVTOL vertiports. We establish the integrated dynamic scheduling model for UAM ridesharing, and develop a cloud-edge collaborative multi-modal mobility-on-demand service architecture. This architecture integrates ordinary, multi-hop ridesharing and air-ground integrated mobility, offering flexible travel combinations tailored to user needs. We propose a multi-modal transportation dynamic scheduling algorithm based on this architecture to solve the problem. The solution process is divided into four stages: travel service plan planning, available resource search, dynamic cooperative multiple task assignment, and vehicle rebalancing. In the first two stages, an improved pulse algorithm is used to search for feasible service plans and filter available transport resources. In the dynamic cooperative multiple task assignment stages, we use a hybrid adaptive large neighborhood search algorithm to select travel plans, allocate transport resources, and plan vehicle routes. The graph structure of the task network is used in the algorithm to decouple the original problem, thereby effectively controlling the problem size. Finally, in the vehicle rebalancing stage, idle vehicles are repositioned based on demand distribution to improve supply–demand matching efficiency. Experiments based on New York City travel data indicate that compared to traditional ridesharing, our system can significantly improve the service rate and reduce user travel time. In the best-case scenario, the service rate increased by approximately 25%, while the average detour time decreased by around 52%. This demonstrates the possibility of enhancing convenience and attractiveness of UAM, which can also provide support and reference for the design and operation of future multi-modal transportation systems.", "keywords": [ "Scheduling (production processes)", "Transport engineering", "Computer science", "Simulation", "Engineering", "Operations management" ], "cited_by_openalex": 10, "cited_by_scopus": 0, "eid": null, "pii": null, "open_access_url": "https://doi.org/10.1016/j.trc.2025.105111", "sources": [ { "db": "openalex", "stream": "UAV", "query_id": "UAV-3" } ], "streams": [ "UAV" ], "relevance_signals": [ "UAV_NO_CTX" ], "auto_exclude_reason": "EC-4-topic", "screening_status": "auto_excluded", "screened_by": "auto-v1.0.0" }, { "id": "doi:10.1016/j.rtbm.2025.101510", "doi": "10.1016/j.rtbm.2025.101510", "title": "Innovating the last mile: Consumer acceptance and economic drivers of drone deliveries in urban logistics", "year": 2025, "authors": [ "Bergantino A.S." ], "first_author": "Bergantino A.S.", "venue": "Research in Transportation Business and Management", "volume": "63", "pages": null, "type": "Article", "language": null, "abstract": null, "keywords": [], "cited_by_openalex": 0, "cited_by_scopus": "10", "eid": "2-s2.0-105016701873", "pii": "S2210539525002251", "open_access_url": null, "sources": [ { "db": "scopus", "stream": "UAV", "query_id": "UAV-1" } ], "streams": [ "UAV" ], "relevance_signals": [ "UAV" ], "auto_exclude_reason": null, "screening_status": "pending_human_screening", "screened_by": "auto-v1.0.0" }, { "id": "doi:10.1007/s43926-025-00151-3", "doi": "10.1007/s43926-025-00151-3", "title": "Multi-constraint smart UAV healthcare transportation path using imperial competition algorithm for smart cities", "year": 2025, "authors": [ "Byeon H." ], "first_author": "Byeon H.", "venue": "Discover Internet of Things", "volume": "5", "pages": null, "type": "Article", "language": null, "abstract": null, "keywords": [], "cited_by_openalex": 0, "cited_by_scopus": "10", "eid": "2-s2.0-105005397302", "pii": null, "open_access_url": null, "sources": [ { "db": "scopus", "stream": "UAV", "query_id": "UAV-2" } ], "streams": [ "UAV" ], "relevance_signals": [ "UAV_NO_CTX" ], "auto_exclude_reason": "EC-4-topic", "screening_status": "auto_excluded", "screened_by": "auto-v1.0.0" }, { "id": "doi:10.1016/j.cie.2025.111232", "doi": "10.1016/j.cie.2025.111232", "title": "The multi-visit split delivery VRP with drones considering en-route launches and rendezvouses: Application to post-disaster relief operations", "year": 2025, "authors": [ "Mahmoudi B." ], "first_author": "Mahmoudi B.", "venue": "Computers and Industrial Engineering", "volume": "206", "pages": null, "type": "Article", "language": null, "abstract": null, "keywords": [], "cited_by_openalex": 0, "cited_by_scopus": "10", "eid": "2-s2.0-105005847263", "pii": "S036083522500378X", "open_access_url": null, "sources": [ { "db": "scopus", "stream": "UAV", "query_id": "UAV-2" } ], "streams": [ "UAV" ], "relevance_signals": [ "UAV_NO_CTX" ], "auto_exclude_reason": "EC-4-topic", "screening_status": "auto_excluded", "screened_by": "auto-v1.0.0" }, { "id": "doi:10.3390/drones9110782", "doi": "10.3390/drones9110782", "title": "Resilient Last-Mile Logistics in Smart Cities Through Multi-Visit and Time-Dependent Drone–Truck Collaboration", "year": 2025, "authors": [ "Qinxin Xiao", "Jiaojiao Gao" ], "first_author": "Qinxin Xiao", "venue": "Drones", "volume": "9", "pages": null, "type": "article", "language": "en", "abstract": "Urban logistics in smart cities are increasingly challenged by congestion, sustainability pressures, and the growing demand for resilient delivery systems. To address these challenges, this study introduces the Multi-Visit Time-Dependent Truck–Drone Routing Problem with simultaneous Pickup and Delivery (MTTRP-PD), a novel framework that integrates three realistic features: (i) drones serving multiple customers per sortie, (ii) time-dependent truck speeds reflecting dynamic traffic conditions, and (iii) synchronized pickup and delivery between trucks and drones. By incorporating these elements, the proposed model provides a more realistic and comprehensive representation of urban air-ground collaborative logistics in the last mile. An optimization framework and an efficient solution approach are developed and validated through computational experiments. The results demonstrate that enabling multi-visit sortie and simultaneous pickup–delivery operations can significantly reduce logistics costs compared with conventional single-visit or delivery-only strategies. Sensitivity analyses further reveal the critical influence of dynamic traffic conditions on fleet configuration and operational decision making. The findings offer actionable insights for logistics operators and policymakers, illustrating how coordinated UAV–truck collaboration can enhance efficiency, resilience, and environmental sustainability in next-generation urban logistics systems.", "keywords": [ "Truck", "Sustainability", "Drone", "City logistics", "Supply chain", "Vehicle routing problem", "Routing (electronic design automation)", "Humanitarian Logistics" ], "cited_by_openalex": 7, "cited_by_scopus": "9", "eid": "2-s2.0-105023166932", "pii": null, "open_access_url": "https://www.mdpi.com/2504-446X/9/11/782/pdf?version=1762786573", "sources": [ { "db": "openalex", "stream": "TRUCK", "query_id": "TRUCK-1" }, { "db": "openalex", "stream": "UAV", "query_id": "UAV-1" }, { "db": "openalex", "stream": "UAV", "query_id": "UAV-2" }, { "db": "scopus", "stream": "TRUCK", "query_id": "TRUCK-1" }, { "db": "scopus", "stream": "UAV", "query_id": "UAV-1" }, { "db": "scopus", "stream": "UAV", "query_id": "UAV-2" } ], "streams": [ "TRUCK", "UAV" ], "relevance_signals": [ "UAV", "TRUCK" ], "auto_exclude_reason": null, "screening_status": "pending_human_screening", "screened_by": "auto-v1.0.0" }, { "id": "doi:10.1007/s12351-025-00900-w", "doi": "10.1007/s12351-025-00900-w", "title": "An exact approach for the charging station location selection problem in urban freight transport", "year": 2025, "authors": [ "Paraskevi Dimitriou", "Amalia I. Nikolopoulou", "Konstantinos Gkiotsalitis" ], "first_author": "Paraskevi Dimitriou", "venue": "Operational Research", "volume": "25", "pages": null, "type": "article", "language": "en", "abstract": "Abstract The necessity to reduce emissions in the transport sector has led to the advancement of electromobility. Nowadays, electromobility is developing rapidly in the urban freight transport sector. This helps to reduce the environmental footprint of transport, given the large portion of emissions that originate from the freight transport sector. However, the use of EV fleets for freight transport has some limitations, such as autonomy, charging delays, and lack of charging infrastructure. In this study, focus is given on the problem of finding the optimal locations for charging stations of electric transport vehicles for freight transport, within an urban network. The installation of charging stations is a major issue, as it is necessary to identify the optimal locations of installation points in order to improve the delivery of products and reduce the empty vehicle kilometers driven for charging purposes. This study formulates the charging station location selection problem aiming at minimizing the empty kilometers driven to reach the charging stations, taking into consideration the destinations of truck deliveries. The developed model is an Integer Linear Program that can be effectively solved to global optimality for realistic problem instances. Further, sensitivity analysis is employed to identify specific factors with significant impact on the location decision of charging stations. Computational experiments are performed on modified benchmark problem instances, that demonstrate the scalability of the proposed modeling approach and the sensitivity of the model to the changes of different factors.", "keywords": [ "Computational intelligence", "Selection (genetic algorithm)", "Computer science", "Operations research", "Transport engineering", "Artificial intelligence", "Mathematics", "Engineering" ], "cited_by_openalex": 6, "cited_by_scopus": "9", "eid": "2-s2.0-105003745930", "pii": null, "open_access_url": "https://link.springer.com/content/pdf/10.1007/s12351-025-00900-w.pdf", "sources": [ { "db": "openalex", "stream": "TRUCK", "query_id": "TRUCK-1" }, { "db": "scopus", "stream": "TRUCK", "query_id": "TRUCK-1" } ], "streams": [ "TRUCK" ], "relevance_signals": [ "TRUCK" ], "auto_exclude_reason": null, "screening_status": "pending_human_screening", "screened_by": "auto-v1.0.0" }, { "id": "doi:10.3390/app15042007", "doi": "10.3390/app15042007", "title": "Reinforcement Learning for Efficient Drone-Assisted Vehicle Routing", "year": 2025, "authors": [ "Aigerim Bogyrbayeva", "Bissenbay Dauletbayev", "Meraryslan Meraliyev" ], "first_author": "Aigerim Bogyrbayeva", "venue": "Applied Sciences", "volume": "15", "pages": null, "type": "article", "language": "en", "abstract": "Many exact algorithms, heuristics, and metaheuristics have been proposed to solve the Vehicle Routing Problem with Drones, which involves using a fleet of trucks and drones to fulfil customer orders in last-mile delivery. In this study, the problem is formulated using the Markov Decision Process, and a Reinforcement Learning (RL) based solution is proposed. The proposed RL model is based on an attention-encoder and a recurrent neural network-decoder architecture. This approach enhances coordination by determining which vehicles should visit specific customers and where vehicles can rendezvous, effectively leveraging drones and reducing the overall completion time. The RL model has demonstrated competitive performance compared to benchmark algorithms through extensive experiments.", "keywords": [ "Reinforcement learning", "Computer science", "Drone", "Artificial intelligence", "Biology" ], "cited_by_openalex": 8, "cited_by_scopus": "9", "eid": "2-s2.0-85218464270", "pii": null, "open_access_url": "https://www.mdpi.com/2076-3417/15/4/2007/pdf?version=1739532726", "sources": [ { "db": "openalex", "stream": "TRUCK", "query_id": "TRUCK-1" }, { "db": "openalex", "stream": "UAV", "query_id": "UAV-1" }, { "db": "openalex", "stream": "UAV", "query_id": "UAV-2" }, { "db": "scopus", "stream": "TRUCK", "query_id": "TRUCK-1" }, { "db": "scopus", "stream": "UAV", "query_id": "UAV-1" }, { "db": "scopus", "stream": "UAV", "query_id": "UAV-2" } ], "streams": [ "TRUCK", "UAV" ], "relevance_signals": [ "UAV", "TRUCK" ], "auto_exclude_reason": null, "screening_status": "pending_human_screening", "screened_by": "auto-v1.0.0" }, { "id": "doi:10.1016/j.ejor.2025.07.027", "doi": "10.1016/j.ejor.2025.07.027", "title": "Exact solution approaches for the traveling salesman problem with a drone station", "year": 2025, "authors": [ "Zhiyuan Shi", "Shaozhi Hong", "Zeling Wang", "Ang Li" ], "first_author": "Zhiyuan Shi", "venue": "European Journal of Operational Research", "volume": "328", "pages": "845-861", "type": "article", "language": "en", "abstract": null, "keywords": [ "Travelling salesman problem", "Drone", "Traveling purchaser problem", "Computer science", "Mathematical optimization", "Bottleneck traveling salesman problem", "2-opt", "Operations research", "Mathematics", "Biology" ], "cited_by_openalex": 12, "cited_by_scopus": "9", "eid": "2-s2.0-105011629617", "pii": "S0377221725005521", "open_access_url": "https://doi.org/10.1016/j.ejor.2025.07.027", "sources": [ { "db": "openalex", "stream": "TRUCK", "query_id": "TRUCK-1" }, { "db": "openalex", "stream": "TRUCK", "query_id": "TRUCK-3" }, { "db": "openalex", "stream": "UAV", "query_id": "UAV-1" }, { "db": "scopus", "stream": "TRUCK", "query_id": "TRUCK-1" }, { "db": "scopus", "stream": "TRUCK", "query_id": "TRUCK-3" }, { "db": "scopus", "stream": "UAV", "query_id": "UAV-1" } ], "streams": [ "TRUCK", "UAV" ], "relevance_signals": [ "UAV_NO_CTX" ], "auto_exclude_reason": "EC-4-topic", "screening_status": "auto_excluded", "screened_by": "auto-v1.0.0" }, { "id": "doi:10.1007/s11116-025-10633-6", "doi": "10.1007/s11116-025-10633-6", "title": "The role of walking in last-mile urban deliveries", "year": 2025, "authors": [ "Giacomo Dalla Chiara", "Anne Goodchild" ], "first_author": "Giacomo Dalla Chiara", "venue": "Transportation", "volume": null, "pages": null, "type": "article", "language": "en", "abstract": "Most of a delivery driver’s time is spent outside the vehicle, walking the last-50-feet to reach the delivery customers while the vehicle is stationary. However, little is known about the walking component of delivery routes, while most models and algorithms used for scheduling and planning urban freight vehicles focus solely on the driving component. This study fills this research gap by providing an empirical analysis of the role of walking in last-mile deliveries. The study aims to empirically quantify delivery drivers’ walking distances and shed light on the interrelation between walking and the overall efficiency and sustainability of delivery routes. Two data samples were obtained that recorded more than 1,800 real deliveries performed by a parcel carrier and a beverage carrier in Seattle, WA. Data on both vehicle routes and drivers’ walking sub-routes were obtained and analyzed. Dwell time regression analyses and simulations were performed to understand the impact of walking on last-mile routes. The results highlighted the importance of walking across different types of deliveries. Both carriers either walked longer distances to find better parking or to serve multiple delivery customers from a single stop. The parcel carrier also showed large economies of scale in performing multiple deliveries per stop. An increase in willingness to walk showed a general reduction in the number of stops per route and in total vehicle miles traveled. The paper concludes with a discussion on the importance of walking in scheduling and planning for delivery vehicles in urban areas.", "keywords": [ "Mile", "Last mile (transportation)", "Transport engineering", "Regional science", "Geography", "Engineering", "Geodesy" ], "cited_by_openalex": 6, "cited_by_scopus": "9", "eid": "2-s2.0-105008917379", "pii": null, "open_access_url": "https://link.springer.com/content/pdf/10.1007/s11116-025-10633-6.pdf", "sources": [ { "db": "openalex", "stream": "TRUCK", "query_id": "TRUCK-1" }, { "db": "openalex", "stream": "TRUCK", "query_id": "TRUCK-2" }, { "db": "scopus", "stream": "TRUCK", "query_id": "TRUCK-1" } ], "streams": [ "TRUCK" ], "relevance_signals": [ "TRUCK" ], "auto_exclude_reason": null, "screening_status": "pending_human_screening", "screened_by": "auto-v1.0.0" }, { "id": "doi:10.1016/j.simpat.2025.103140", "doi": "10.1016/j.simpat.2025.103140", "title": "MASS-GT: An empirical model for the simulation of freight policies", "year": 2025, "authors": [ "Michiel de Bok", "Lóránt Antal Tavasszy", "Sebastiaan Thoen", "Larissa Eggers", "Ioanna Kourounioti" ], "first_author": "Michiel de Bok", "venue": "Simulation Modelling Practice and Theory", "volume": "142", "pages": null, "type": "article", "language": "en", "abstract": "Despite the importance of urban freight transportation for the accessibility and livability of cities, few systematic, quantitative and empirical methods exist which allow an impact assessment of urban freight transportation solutions or policies. There is a lack of transparent literature on the full specification and estimation of these models, which not only hampers continued research, but also the development of evidence-based urban freight transport policies. We present the urban freight simulator Multi-Agent Simulation System for Goods Transport (MASS-GT) with its full specification and empirical implementation for a study area in the Netherlands. It concerns an agent-based model based on a framework of discrete choice and optimization models, which describes logistic choices of shippers, carriers, producers and consumers. The disaggregate level of detail allows the analysis of a wide variety of logistic developments and policies across all or specific logistic segments. The model is estimated and validated using a variety of data sources: truck trip diaries, supply/use statistics, an e-commerce demand survey, traffic counts and other relevant statistics. The article presents the full specifications of the model and their empirical estimation, including the data sources used. Also, the validity of the model is evaluated using road freight traffic counts. Finally, examples of applications of the model to case studies are provided.", "keywords": [ "Computer science", "Transport engineering", "Engineering" ], "cited_by_openalex": 8, "cited_by_scopus": "9", "eid": "2-s2.0-105005174756", "pii": "S1569190X25000759", "open_access_url": "https://doi.org/10.1016/j.simpat.2025.103140", "sources": [ { "db": "openalex", "stream": "TRUCK", "query_id": "TRUCK-1" }, { "db": "scopus", "stream": "TRUCK", "query_id": "TRUCK-1" } ], "streams": [ "TRUCK" ], "relevance_signals": [ "TRUCK" ], "auto_exclude_reason": null, "screening_status": "pending_human_screening", "screened_by": "auto-v1.0.0" }, { "id": "doi:10.1016/j.tre.2025.104273", "doi": "10.1016/j.tre.2025.104273", "title": "Assessing the sustainability of last-mile distribution strategies to manage expedited shipping with dynamic and stochastic demand", "year": 2025, "authors": [ "Anmol Pahwa", "Miguel Jaller" ], "first_author": "Anmol Pahwa", "venue": "Transportation Research Part E Logistics and Transportation Review", "volume": "201", "pages": null, "type": "article", "language": "en", "abstract": "As many e-retailers compete through increasingly consumer-focused services, urban freight faces a critical need for sustainable alternate last-mile distribution practices. While previous research has investigated the performance of various distribution strategies under different planning and network design scenarios, their performance under the dynamic and stochastic conditions inherent to consumer-focused services (e.g., expedited deliveries) is not well understood. This study introduces a dynamic-stochastic last-mile network design (DS-LMND) problem, formulated as a multi-echelon capacitated location routing problem with time-windows (ME-C-LRP-TW), to address this gap. Consequently, this work develops a Monte Carlo simulation–optimization framework integrated with an adaptive large neighborhood search (ALNS) metaheuristic to solve the problem. Using this framework, the authors configure the distribution structure and simulate last-mile operations for each distribution strategy. For these configured distribution structures, this work determines economic viability, environmental efficiency, and social equity – the three pillars of sustainability. Further, the authors determine the impact of demand uncertainties on the sustainability of last-mile distribution through the value of information (VI) and coefficient of variance (CV) metrics. In doing so, this work a) estimates the efficacy of conventional distribution strategy; b) confirms the competitiveness of electric delivery vehicles; c) evaluates the effectiveness of crowdsourced delivery services; d) advances the case for consolidation-based multi-echelon distribution strategies; e) establishes the rationale for customer pickups; and f) develops the use case for drone and robots, to cater to dynamic and stochastic demand with expedited shipping.", "keywords": [ "Mile", "Sustainability", "Last mile (transportation)", "Transport engineering", "Business", "Demand management", "Environmental economics", "Operations research", "Engineering", "Economics", "Geography" ], "cited_by_openalex": 10, "cited_by_scopus": "9", "eid": "2-s2.0-105008990957", "pii": "S136655452500314X", "open_access_url": "https://doi.org/10.1016/j.tre.2025.104273", "sources": [ { "db": "openalex", "stream": "TRUCK", "query_id": "TRUCK-2" }, { "db": "openalex", "stream": "UAV", "query_id": "UAV-1" }, { "db": "openalex", "stream": "UAV", "query_id": "UAV-2" }, { "db": "scopus", "stream": "TRUCK", "query_id": "TRUCK-2" }, { "db": "scopus", "stream": "UAV", "query_id": "UAV-1" }, { "db": "scopus", "stream": "UAV", "query_id": "UAV-2" } ], "streams": [ "TRUCK", "UAV" ], "relevance_signals": [ "UAV" ], "auto_exclude_reason": null, "screening_status": "pending_human_screening", "screened_by": "auto-v1.0.0" }, { "id": "doi:10.1016/j.trc.2024.104987", "doi": "10.1016/j.trc.2024.104987", "title": "Two-echelon prize-collecting vehicle routing with time windows and vehicle synchronization: A branch-and-price approach", "year": 2025, "authors": [ "I. Edhem Sakarya", "Milad Elyasi", "S.U.K. Rohmer", "Okan Örsan Özener", "Tom Van Woensel", "Ali Ekici" ], "first_author": "I. Edhem Sakarya", "venue": "Transportation Research Part C Emerging Technologies", "volume": "171", "pages": null, "type": "article", "language": "en", "abstract": "The steady growth in e-commerce and grocery deliveries within cities strains the available infrastructure in urban areas by increasing freight movements, aggravating traffic congestion, and air and noise pollution. This research introduces the Two-Echelon Prize-Collecting Vehicle Routing Problem with Time Windows and Vehicle Synchronization , where deliveries are carried out by smaller low- or zero-emission vehicles and larger trucks. Given their capacity restrictions, the smaller vehicles can only deliver small-sized orders and must be replenished via depot locations or larger-sized trucks. Besides replenishing smaller vehicles at satellite locations, larger trucks can deliver small orders and larger items. Managing these two types of fleets in an urban setting under consideration of capacity limitations, tight delivery time windows, vehicle synchronization, and selective order fulfillment is challenging. We model this problem on a time-expanded network and apply network reduction by considering the time window constraints. In addition, we propose a branch-and-price algorithm capable of solving instances with up to 200 customers, which continuously outperforms a state-of-the-art general-purpose optimization solver. Moreover, we present several managerial insights concerning synchronization, vehicles, and the placement of depot/satellite locations. • We address a novel last-mile distribution problem with vehicle synchronization. • Selective order fulfillment, multiple trips, and tight and long time windows are integrated into a two-echelon setting. • A branch-and-price algorithm is proposed to solve the problem for different-sized instances. • Results show that our method finds optimal solutions for instances with up to 200 customers. • We derive detailed managerial insights by studying the effects of synchronization and different instance structures.", "keywords": [ "Vehicle routing problem", "Synchronization (alternating current)", "Computer science", "Time synchronization", "Real-time computing", "Routing (electronic design automation)", "Operations research", "Engineering", "Computer network" ], "cited_by_openalex": 11, "cited_by_scopus": "9", "eid": "2-s2.0-85213888062", "pii": "S0968090X24005084", "open_access_url": "https://doi.org/10.1016/j.trc.2024.104987", "sources": [ { "db": "openalex", "stream": "TRUCK", "query_id": "TRUCK-3" }, { "db": "scopus", "stream": "TRUCK", "query_id": "TRUCK-1" }, { "db": "scopus", "stream": "TRUCK", "query_id": "TRUCK-3" } ], "streams": [ "TRUCK" ], "relevance_signals": [ "TRUCK" ], "auto_exclude_reason": null, "screening_status": "pending_human_screening", "screened_by": "auto-v1.0.0" }, { "id": "doi:10.1080/10106049.2025.2538099", "doi": "10.1080/10106049.2025.2538099", "title": "Hybrid metaheuristic-driven 3D path planning for UAVs in complex urban environments: a multi-objective fusion framework", "year": 2025, "authors": [ "Qing Cheng", "Zhengyuan Zhang", "Yunfei Du", "Xi Zhao" ], "first_author": "Qing Cheng", "venue": "Geocarto International", "volume": "40", "pages": null, "type": "article", "language": "en", "abstract": "Unmanned Aerial Vehicles (UAVs) offer transformative potential for urban logistics, but their deployment is challenged by complex 3D path planning in constrained environments. This study introduces GS-PSO, a novel multi-stage hybrid framework designed to address this challenge by sequentially integrating Particle Swarm Optimization (PSO), Sparrow Search Algorithm (SSA), and a Genetic Algorithm (GA). Key innovations include dynamic chaotic inertia weights in PSO for enhanced exploration and specialized GA operators for fine-grained refinement. The efficacy of GS-PSO was validated on the CEC2020 benchmarks, where it found the global optimum in 8/10 functions, showing superior accuracy and stability over standard PSO. In high-fidelity UAV simulations, GS-PSO generated paths up to 22.9% shorter than the AVOA, significantly outperforming competitors. Statistical tests (p < 0.05) confirmed its superior solution quality and robustness. This work provides an effective, reliable solution for complex UAV trajectory planning.", "keywords": [ "Motion planning", "Metaheuristic", "Path (computing)", "Computer science", "Fusion", "Urban planning", "Geography", "Artificial intelligence", "Engineering", "Civil engineering", "Robot", "Computer network" ], "cited_by_openalex": 9, "cited_by_scopus": "9", "eid": "2-s2.0-105012175278", "pii": null, "open_access_url": "https://www.tandfonline.com/doi/pdf/10.1080/10106049.2025.2538099?needAccess=true", "sources": [ { "db": "openalex", "stream": "UAV", "query_id": "UAV-1" }, { "db": "scopus", "stream": "UAV", "query_id": "UAV-1" } ], "streams": [ "UAV" ], "relevance_signals": [ "UAV" ], "auto_exclude_reason": null, "screening_status": "pending_human_screening", "screened_by": "auto-v1.0.0" }, { "id": "doi:10.1016/j.trd.2025.104843", "doi": "10.1016/j.trd.2025.104843", "title": "Multi-modal electric logistics system: Electric trucks as floating chargers for electric drones", "year": 2025, "authors": [ "Y. I. Park", "Junyeong Jeong", "Chao Wang", "Soomin Woo" ], "first_author": "Y. I. Park", "venue": "Transportation Research Part D Transport and Environment", "volume": "146", "pages": null, "type": "article", "language": "en", "abstract": null, "keywords": [ "Truck", "Automotive engineering", "Modal", "Drone", "Electric cars", "Engineering", "Electric vehicle", "Electrical engineering", "Materials science", "Physics" ], "cited_by_openalex": 13, "cited_by_scopus": "9", "eid": "2-s2.0-105008144316", "pii": "S1361920925002536", "open_access_url": "https://doi.org/10.1016/j.trd.2025.104843", "sources": [ { "db": "openalex", "stream": "UAV", "query_id": "UAV-2" }, { "db": "scopus", "stream": "UAV", "query_id": "UAV-2" } ], "streams": [ "UAV" ], "relevance_signals": [ "UAV_NO_CTX", "TRUCK_NO_CTX" ], "auto_exclude_reason": "EC-4-topic", "screening_status": "auto_excluded", "screened_by": "auto-v1.0.0" }, { "id": "doi:10.1016/j.tre.2025.104543", "doi": "10.1016/j.tre.2025.104543", "title": "Dynamic truck-drone cooperative delivery of emergency supplies considering secondary disasters", "year": 2025, "authors": [ "Yong Shi", "Keyi Zhang", "Jian Zhang", "Miao Chen", "Junhao Yang", "Haixiang Guo" ], "first_author": "Yong Shi", "venue": "Transportation Research Part E Logistics and Transportation Review", "volume": "206", "pages": null, "type": "article", "language": "en", "abstract": null, "keywords": [ "Truck", "Genetic algorithm", "Sorting", "Natural disaster", "Dynamic programming", "Duration (music)", "Emergency rescue", "Optimization problem" ], "cited_by_openalex": 9, "cited_by_scopus": "9", "eid": "2-s2.0-105023661849", "pii": "S136655452500571X", "open_access_url": "https://doi.org/10.1016/j.tre.2025.104543", "sources": [ { "db": "openalex", "stream": "UAV", "query_id": "UAV-2" }, { "db": "scopus", "stream": "UAV", "query_id": "UAV-2" } ], "streams": [ "UAV" ], "relevance_signals": [ "UAV_NO_CTX", "TRUCK_NO_CTX" ], "auto_exclude_reason": "EC-4-topic", "screening_status": "auto_excluded", "screened_by": "auto-v1.0.0" }, { "id": "doi:10.1007/s10479-025-06581-0", "doi": "10.1007/s10479-025-06581-0", "title": "A hybrid ant colony optimization algorithm for drone-based cooperative EV routing problem with simultaneously delivery and pickup", "year": 2025, "authors": [ "Yongjian Yang", "Tianjiao Feng", "Chenyu Luo", "Chenglong Li", "Jun Wang", "Yuning Xiong" ], "first_author": "Yongjian Yang", "venue": "Annals of Operations Research", "volume": null, "pages": null, "type": "article", "language": "en", "abstract": null, "keywords": [ "Pickup", "Ant colony optimization algorithms", "Theory of computation", "Drone", "Computer science", "Routing (electronic design automation)", "Mathematical optimization", "Ant colony", "Vehicle routing problem", "Metaheuristic", "Distributed computing", "Algorithm" ], "cited_by_openalex": 4, "cited_by_scopus": "9", "eid": "2-s2.0-105004981997", "pii": null, "open_access_url": "https://doi.org/10.1007/s10479-025-06581-0", "sources": [ { "db": "openalex", "stream": "UAV", "query_id": "UAV-2" }, { "db": "scopus", "stream": "UAV", "query_id": "UAV-2" } ], "streams": [ "UAV" ], "relevance_signals": [ "UAV_NO_CTX" ], "auto_exclude_reason": "EC-4-topic", "screening_status": "auto_excluded", "screened_by": "auto-v1.0.0" }, { "id": "doi:10.1016/j.trc.2025.105389", "doi": "10.1016/j.trc.2025.105389", "title": "Multi-trip UAV-UGV delivery network design with release times", "year": 2025, "authors": [ "Bolong Zhou", "Wenjia Zeng", "Hai Long Yang" ], "first_author": "Bolong Zhou", "venue": "Transportation Research Part C Emerging Technologies", "volume": "181", "pages": null, "type": "article", "language": "en", "abstract": null, "keywords": [ "Linear programming", "Swift", "Vehicle routing problem", "Heuristic", "Flow network", "Routing (electronic design automation)", "Network planning and design" ], "cited_by_openalex": 13, "cited_by_scopus": "9", "eid": "2-s2.0-105027102885", "pii": "S0968090X25003936", "open_access_url": "https://doi.org/10.1016/j.trc.2025.105389", "sources": [ { "db": "openalex", "stream": "UAV", "query_id": "UAV-2" }, { "db": "scopus", "stream": "UAV", "query_id": "UAV-2" } ], "streams": [ "UAV" ], "relevance_signals": [ "UAV_NO_CTX" ], "auto_exclude_reason": "EC-4-topic", "screening_status": "auto_excluded", "screened_by": "auto-v1.0.0" }, { "id": "doi:10.1038/s41598-025-30410-w", "doi": "10.1038/s41598-025-30410-w", "title": "Reliability-oriented framework for UAV-based inspection missions in modern power and energy systems", "year": 2025, "authors": [ "Luttfi Ahmed Al-Haddad", "Wissam Khalid", "Sarmad Tariq", "Muhannad M. Mrah", "Aymen Flah", "Ahmad F. Tazay", "Alaa Abdulhady Jaber" ], "first_author": "Luttfi Ahmed Al-Haddad", "venue": "Scientific Reports", "volume": "16", "pages": null, "type": "article", "language": "en", "abstract": "Ensuring mission reliability is vital for the autonomous deployment of unmanned aerial vehicles (UAVs) in modern power and energy systems, particularly under spatial and operational constraints. This study presents a data-driven classification method that assesses the reliability of UAV-based inspection missions by identifying whether individual mission locations are suitable, at risk, or infeasible based on spatial and operational parameters. Leveraging the Cumulative UAV Routing Problem (CUAVRP) benchmark, four representative mission scenarios were analyzed, each characterized by unique UAV fleet sizes, sensor ranges, and endurance limits. Synthetic stress nodes were introduced to emulate edge-case conditions encountered in infrastructure inspection tasks. Each node was classified based on three categorical targets: Mission Feasibility, Coverage Reliability, and Deployment Suitability. A gradient boosting classification model was trained on spatial and operational features to determine node status. Evaluation across all scenarios yielded consistently high performance, with the cuavrp_d9_k6_r800 scenario achieving 97.05% accuracy, 96.33% precision, 97.72% recall, and 97.02% F1-score. Furthermore, incorporating physical-layer degradation factors such as signal attenuation, multipath fading, and interference is expected to enhance the realism of future reliability assessments and improve classification robustness. The proposed classification framework supports intelligent mission planning, enhances operational resilience, and facilitates automated UAV deployment strategies in critical inspection environments within the power and energy sector.", "keywords": [ "Software deployment", "Reliability (semiconductor)", "Node (physics)", "Search and rescue", "Wireless sensor network", "Categorical variable", "Energy (signal processing)", "Energy consumption" ], "cited_by_openalex": 8, "cited_by_scopus": "9", "eid": "2-s2.0-105027224803", "pii": null, "open_access_url": "https://www.nature.com/articles/s41598-025-30410-w_reference.pdf", "sources": [ { "db": "openalex", "stream": "UAV", "query_id": "UAV-2" }, { "db": "scopus", "stream": "UAV", "query_id": "UAV-2" } ], "streams": [ "UAV" ], "relevance_signals": [ "UAV_NO_CTX" ], "auto_exclude_reason": "EC-4-topic", "screening_status": "auto_excluded", "screened_by": "auto-v1.0.0" }, { "id": "doi:10.1007/s11831-025-10281-0", "doi": "10.1007/s11831-025-10281-0", "title": "A Comprehensive Survey of Aquila Optimizer: Theory, Variants, Hybridization, and Applications", "year": 2025, "authors": [ "Sylia Mekhmoukh Taleb", "Elham Tahsin Yasin", "Amylia Ait Saadi", "Musa Doğan", "Selma Yahia", "Yassine Meraihi", "Murat Köklü", "Seyedali Mirjalili", "Amar Ramdane-Chérif" ], "first_author": "Sylia Mekhmoukh Taleb", "venue": "Archives of Computational Methods in Engineering", "volume": null, "pages": null, "type": "article", "language": "en", "abstract": null, "keywords": [ "Computer science" ], "cited_by_openalex": 9, "cited_by_scopus": 0, "eid": null, "pii": null, "open_access_url": "https://doi.org/10.1007/s11831-025-10281-0", "sources": [ { "db": "openalex", "stream": "UAV", "query_id": "UAV-2" } ], "streams": [ "UAV" ], "relevance_signals": [ "NO_TECHNOLOGY_MATCH" ], "auto_exclude_reason": "EC-4-topic", "screening_status": "auto_excluded", "screened_by": "auto-v1.0.0" }, { "id": "doi:10.3390/futuretransp5020058", "doi": "10.3390/futuretransp5020058", "title": "Optimal Location of Urban Air Mobility (UAM) Vertiport Using a Three-Stage Geospatial Analysis Framework", "year": 2025, "authors": [ "Sangwan Lee", "Nahye Cho" ], "first_author": "Sangwan Lee", "venue": "Future Transportation", "volume": "5", "pages": null, "type": "article", "language": "en", "abstract": "Recent advancements in aviation and automation technologies have catalyzed the emergence of Urban Air Mobility (UAM), an innovative transportation paradigm involving the use of automated vertical take-off and landing aircraft for intra-city passenger travel. Despite growing global interest, the development and application of integrated geospatial frameworks for UAM infrastructure planning—particularly vertiport siting—remain limited. Thus, this study proposes a three-stage geospatial analysis framework, which consists of (1) Suitability analysis, employing multi-criteria decision-making techniques; (2) Regulation analysis, which screens out parcels restricted by aviation safety standards, land-use policies, and other statutory constraints; and (3) Location-allocation analysis, which spatially optimizes vertiport distribution in accordance with urban master plans and strategic transport priorities. Then, this framework is empirically applied to two South Korean UAM pilot sites—Busan and Jeju. The findings reveal that high-suitability areas are predominantly concentrated in dense urban cores with strong multimodal connectivity and mixed land-use configurations. However, a significant proportion of these zones are rendered infeasible due to regulatory exclusions, such as military flight paths and restricted airspace. Additionally, areas with lower suitability—often home to marginalized populations—raise critical equity concerns. This study contributes to the advancement of urban geospatial analytics by presenting a replicable methodological framework for vertiport site selection, while offering strategic insights to inform early-stage UAM deployment initiatives.", "keywords": [ "Geospatial analysis", "Stage (stratigraphy)", "Environmental science", "Computer science", "Remote sensing", "Geography", "Geology" ], "cited_by_openalex": 10, "cited_by_scopus": "9", "eid": "2-s2.0-105009307021", "pii": null, "open_access_url": "https://www.mdpi.com/2673-7590/5/2/58/pdf?version=1746082269", "sources": [ { "db": "openalex", "stream": "UAV", "query_id": "UAV-3" }, { "db": "scopus", "stream": "UAV", "query_id": "UAV-3" } ], "streams": [ "UAV" ], "relevance_signals": [ "UAV_NO_CTX" ], "auto_exclude_reason": "EC-4-topic", "screening_status": "auto_excluded", "screened_by": "auto-v1.0.0" }, { "id": "doi:10.1016/j.tranpol.2025.07.035", "doi": "10.1016/j.tranpol.2025.07.035", "title": "Integrating vertiports into Australian airports - A comparative literature review of regulatory frameworks from CASA, FAA, and EASA", "year": 2025, "authors": [ "Salim Hijazeen", "Tommy King-Yin Cheung", "Zheng Lei", "Jennifer A. Hayward" ], "first_author": "Salim Hijazeen", "venue": "Transport Policy", "volume": "172", "pages": null, "type": "article", "language": "en", "abstract": "This paper systematically evaluates the regulatory frameworks for integrating vertiport infrastructure to support Advanced Air Mobility (AAM) within Australia's airport ecosystem. Unlike the Federal Aviation Administration (FAA) and European Union Aviation Safety Agency (EASA), which have issued detailed vertiport regulations, including emergency procedures and infrastructure compatibility for battery-powered AAM, the Civil Aviation Safety Authority (CASA) approach remains high-level. It is still largely derived from helicopter regulations. By conducting a comparative analysis of CASA, the FAA, and the EASA, the study identifies specific regulatory gaps in CASA's framework, particularly concerning vertiport design, operational safety, and infrastructure for emerging propulsion technologies like hydrogen power. To address these gaps, the paper recommends that CASA (i) adopt scalable vertiport layout and design standards, (ii) introduce performance-based criteria for infrastructure compatibility with battery-electric and hydrogen propulsion systems, and (iii) establish clearer integration protocols for AAM within existing commercial airport environments. The findings further highlight that, while CASA has expressed a commitment to regulatory innovation, the pace of implementation remains slow in comparison to the urgency of AAM deployment. Accelerating the adoption of international best practices from the FAA and EASA would allow CASA to address the challenges of vertiport integration and position itself as a global leader in aviation regulatory reform.", "keywords": [ "Business", "Aviation", "Transport engineering", "Engineering" ], "cited_by_openalex": 8, "cited_by_scopus": "9", "eid": "2-s2.0-105012502229", "pii": "S0967070X25002884", "open_access_url": "https://doi.org/10.1016/j.tranpol.2025.07.035", "sources": [ { "db": "openalex", "stream": "UAV", "query_id": "UAV-3" }, { "db": "scopus", "stream": "UAV", "query_id": "UAV-3" } ], "streams": [ "UAV" ], "relevance_signals": [ "UAV_NO_CTX" ], "auto_exclude_reason": "EC-4-topic", "screening_status": "auto_excluded", "screened_by": "auto-v1.0.0" }, { "id": "doi:10.2514/1.i011460", "doi": "10.2514/1.i011460", "title": "On-Demand Urban Air Mobility Scheduling with Operational Considerations", "year": 2025, "authors": [ "Jaeyoul Ko", "Jaemyung Ahn" ], "first_author": "Jaeyoul Ko", "venue": "Journal of Aerospace Information Systems", "volume": "22", "pages": "401-411", "type": "article", "language": "en", "abstract": "This paper introduces an on-demand sequencing and scheduling framework for Urban Air Mobility (UAM) with electric vertical takeoff and landing (eVTOL) aircraft. Safety and efficiency, considering factors such as battery state of charge and charging infrastructure, are critical factors for UAM operations. A new scheduling framework integrating considerations for battery consumption, parking and charging infrastructure, vertiport throughput, and fleet heterogeneity to maximize the operational efficiency of the eVTOL UAM fleet is proposed. A solution methodology utilizing a genetic algorithm and receding horizon scheduling achieves near-optimal solutions with an average optimality gap of 5.8% and a runtime of less than 1 min for dynamic scheduling. A case study based on the 2024 Paris Olympic air taxi operations demonstrates the efficacy of the proposed problem formulation and solution method.", "keywords": [ "Scheduling (production processes)", "Computer science", "Engineering", "Operations management" ], "cited_by_openalex": 9, "cited_by_scopus": "9", "eid": "2-s2.0-105005414692", "pii": null, "open_access_url": "https://doi.org/10.2514/1.i011460", "sources": [ { "db": "openalex", "stream": "UAV", "query_id": "UAV-3" }, { "db": "scopus", "stream": "UAV", "query_id": "UAV-3" } ], "streams": [ "UAV" ], "relevance_signals": [ "UAV_NO_CTX" ], "auto_exclude_reason": "EC-4-topic", "screening_status": "auto_excluded", "screened_by": "auto-v1.0.0" }, { "id": "doi:10.3390/drones9070486", "doi": "10.3390/drones9070486", "title": "Optimization of RIS-Assisted 6G NTN Architectures for High-Mobility UAV Communication Scenarios", "year": 2025, "authors": [ "Muhammad Shoaib Ayub", "Muhammad Saadi", "Insoo Koo" ], "first_author": "Muhammad Shoaib Ayub", "venue": "Drones", "volume": "9", "pages": null, "type": "article", "language": "en", "abstract": "The integration of reconfigurable intelligent surfaces (RISs) with non-terrestrial networks (NTNs), particularly those enabled by unmanned aerial vehicles (UAVs) or drone-based platforms, has emerged as a transformative approach to enhance 6G connectivity in high-mobility scenarios. UAV-assisted NTNs offer flexible deployment, dynamic altitude control, and rapid network reconfiguration, making them ideal candidates for RIS-based signal optimization. However, the high mobility of UAVs and their three-dimensional trajectory dynamics introduce unique challenges in maintaining robust, low-latency links and seamless handovers. This paper presents a comprehensive performance analysis of RIS-assisted UAV-based NTNs, focusing on optimizing RIS phase shifts to maximize the signal-to-interference-plus-noise ratio (SINR), throughput, energy efficiency, and reliability under UAV mobility constraints. A joint optimization framework is proposed that accounts for UAV path loss, aerial shadowing, interference, and user mobility patterns, tailored specifically for aerial communication networks. Extensive simulations are conducted across various UAV operation scenarios, including urban air corridors, rural surveillance routes, drone swarms, emergency response, and aerial delivery systems. The results reveal that RIS deployment significantly enhances the SINR and throughput while navigating energy and latency trade-offs in real time. These findings offer vital insights for deploying RIS-enhanced aerial networks in 6G, supporting mission-critical drone applications and next-generation autonomous systems.", "keywords": [ "Computer science" ], "cited_by_openalex": 8, "cited_by_scopus": "9", "eid": "2-s2.0-105011604828", "pii": null, "open_access_url": "https://www.mdpi.com/2504-446X/9/7/486/pdf?version=1752149535", "sources": [ { "db": "openalex", "stream": "UAV", "query_id": "UAV-3" }, { "db": "scopus", "stream": "UAV", "query_id": "UAV-3" } ], "streams": [ "UAV" ], "relevance_signals": [ "UAV_NO_CTX" ], "auto_exclude_reason": "EC-4-topic", "screening_status": "auto_excluded", "screened_by": "auto-v1.0.0" }, { "id": "doi:10.1007/s11276-025-03925-3", "doi": "10.1007/s11276-025-03925-3", "title": "Prediction-based reactive-greedy routing protocol for flying ad hoc networks", "year": 2025, "authors": [ "Li X." ], "first_author": "Li X.", "venue": "Wireless Networks", "volume": "31", "pages": "2893-2907", "type": "Article", "language": null, "abstract": null, "keywords": [], "cited_by_openalex": 0, "cited_by_scopus": "9", "eid": "2-s2.0-105001083635", "pii": null, "open_access_url": null, "sources": [ { "db": "scopus", "stream": "UAV", "query_id": "UAV-2" } ], "streams": [ "UAV" ], "relevance_signals": [ "NO_TECHNOLOGY_MATCH" ], "auto_exclude_reason": "EC-4-topic", "screening_status": "auto_excluded", "screened_by": "auto-v1.0.0" }, { "id": "doi:10.1007/s00500-025-10537-8", "doi": "10.1007/s00500-025-10537-8", "title": "Context-aware coverage path planning for a swarm of UAVs using mobile ground stations for battery-swapping", "year": 2025, "authors": [ "Porcelli L." ], "first_author": "Porcelli L.", "venue": "Soft Computing", "volume": "29", "pages": "1605-1625", "type": "Article", "language": null, "abstract": null, "keywords": [], "cited_by_openalex": 0, "cited_by_scopus": "9", "eid": "2-s2.0-85218819401", "pii": null, "open_access_url": null, "sources": [ { "db": "scopus", "stream": "UAV", "query_id": "UAV-2" } ], "streams": [ "UAV" ], "relevance_signals": [ "UAV_NO_CTX" ], "auto_exclude_reason": "EC-4-topic", "screening_status": "auto_excluded", "screened_by": "auto-v1.0.0" }, { "id": "doi:10.1016/j.procs.2025.01.054", "doi": "10.1016/j.procs.2025.01.054", "title": "An Energy, Mobility and Obstacle Aware Clustering based Intelligent Routing Protocol for FANET", "year": 2025, "authors": [ "Rajeswari J.G." ], "first_author": "Rajeswari J.G.", "venue": "Procedia Computer Science", "volume": "252", "pages": "934-943", "type": "Conference Paper", "language": null, "abstract": null, "keywords": [], "cited_by_openalex": 0, "cited_by_scopus": "9", "eid": "2-s2.0-85219211675", "pii": "S1877050925000547", "open_access_url": null, "sources": [ { "db": "scopus", "stream": "UAV", "query_id": "UAV-2" } ], "streams": [ "UAV" ], "relevance_signals": [ "NO_TECHNOLOGY_MATCH" ], "auto_exclude_reason": "EC-4-topic", "screening_status": "auto_excluded", "screened_by": "auto-v1.0.0" }, { "id": "doi:10.1016/j.tre.2025.104301", "doi": "10.1016/j.tre.2025.104301", "title": "Optimizing land-air collaborative operations with environmental considerations", "year": 2025, "authors": [ "Zhang H." ], "first_author": "Zhang H.", "venue": "Transportation Research Part E Logistics and Transportation Review", "volume": "202", "pages": null, "type": "Article", "language": null, "abstract": null, "keywords": [], "cited_by_openalex": 0, "cited_by_scopus": "9", "eid": "2-s2.0-105010905895", "pii": "S1366554525003424", "open_access_url": null, "sources": [ { "db": "scopus", "stream": "UAV", "query_id": "UAV-3" } ], "streams": [ "UAV" ], "relevance_signals": [ "NO_TECHNOLOGY_MATCH" ], "auto_exclude_reason": "EC-4-topic", "screening_status": "auto_excluded", "screened_by": "auto-v1.0.0" }, { "id": "doi:10.1016/j.trip.2025.101342", "doi": "10.1016/j.trip.2025.101342", "title": "Citizens perceptions of urban freight transport: an international comparison", "year": 2025, "authors": [ "João Guilherme da Costa Braga França", "Kinga Kijewska", "Stanisław Iwan", "Cassiano Augusto Isler", "Leise Kelli de Oliveira" ], "first_author": "João Guilherme da Costa Braga França", "venue": "Transportation Research Interdisciplinary Perspectives", "volume": "29", "pages": null, "type": "article", "language": "en", "abstract": "Urban freight transport is essential for cities as it facilitates the delivery of goods and services to meet stakeholder needs. However, it also creates challenges, including congestion, parking space occupation, pollution, and accidents involving freight vehicles. This paper employs partial least squares structural equation modeling to explore the cause-and-effect relationships between urban freight transport issues and initiatives from the citizens’ perspective. The study analyzes six causal relationships in two cities – Belo Horizonte, Brazil, representing the Global South, and Szczecin, Poland, representing the Global North – while considering their geographic, socioeconomic, and political contexts. The findings reveal that citizens’ perceptions of freight-related issues influence their views on city logistics initiatives and their perceived effectiveness In Belo Horizonte, infrastructure problems, particularly those related to pedestrian and cyclist safety, are considered more significant compared to Szczecin, where environmental issues, such as pollution, have a more prominent latent perception. The comparative analysis underscores causal relationships between urban flow challenges and freight problems, demonstrating that urban flow issues are more critical than infrastructure or environmental concerns in both cities. Differences also emerge in the perceived effectiveness of initiatives: while truck restrictions are highly valued in Belo Horizonte, loading and unloading areas and clearer signage are more impactful in Szczecin. Green initiatives show potential for promoting sustainable urban freight transport in both contexts. However, the limited variability in citizens’ responses, particularly in Szczecin, suggests a consensus on the relevance of the proposed initiatives. The results offer dual benefits: providing direct recommendations for Belo Horizonte and serving as a benchmark for Szczecin and other cities adopting an adaptive approach to urban logistics. These insights can guide policymakers in fostering efficient and sustainable urban freight transport through a participatory planning process in Global South and North.", "keywords": [ "Transport engineering", "Perception", "Business", "Regional science", "Geography", "Engineering", "Psychology" ], "cited_by_openalex": 6, "cited_by_scopus": "8", "eid": "2-s2.0-85216016420", "pii": "S2590198225000211", "open_access_url": "https://doi.org/10.1016/j.trip.2025.101342", "sources": [ { "db": "openalex", "stream": "TRUCK", "query_id": "TRUCK-1" }, { "db": "scopus", "stream": "TRUCK", "query_id": "TRUCK-1" } ], "streams": [ "TRUCK" ], "relevance_signals": [ "TRUCK" ], "auto_exclude_reason": null, "screening_status": "pending_human_screening", "screened_by": "auto-v1.0.0" }, { "id": "doi:10.7307/ptt.v37i2.634", "doi": "10.7307/ptt.v37i2.634", "title": "Location-Route Planning for VTOL Airport and UAV Urban Logistics Network – A Case Study of Tianjin", "year": 2025, "authors": [ "Hong JIANG", "Jiaxue WANG", "Xinhui Ren" ], "first_author": "Hong JIANG", "venue": "PROMET - Traffic&Transportation", "volume": "37", "pages": "456-476", "type": "article", "language": "en", "abstract": "With the potential for fast, contactless and environmentally friendly delivery, unmanned aerial vehicles (UAVs) have gained increasing attention and application due to their cost-effectiveness and convenient and rapid delivery operations. In future cities, a multi-level airport that supports vertical take-off and landing (VTOL) of UAVs and forming a delivery network is necessary to improve delivery efficiency and provide a competitive advantage. This paper proposes a multi-level airport location-routing problem for UAVs that considers UAV flight energy consumption and operational costs. The goal is to minimise the number of locations and minimise delivery path planning while meeting delivery demands within the service range. Based on the traditional distribution centre site-path problem, the UAV distribution network is constructed to solve the problem of airport location and flight path planning, and the two-layer genetic algorithm is used to solve it. Based on this, the validity of the model and algorithm is verified using the urban area of Tianjin as an example. The experimental results show that the constructed model can be used for UAV airport layout planning, which is applicable to large-scale, multi-aircraft-type and multi-level airport layout planning. Data analysis results indicate that when the location layout of the vertical hub airport is on the edge of the VTOL points, both the flight distance and the total cost of the delivery network relatively increase. Increasing the payload capacity will reduce the number of UAV operations, but the total cost shows a decreasing-then-increasing trend. This study can provide a theoretical basis for the selection of airport sites and UAV types in future UAV urban delivery networks.", "keywords": [ "Transport engineering", "City logistics", "Route planning", "Environmental planning", "Business", "Geography", "Engineering" ], "cited_by_openalex": 5, "cited_by_scopus": "8", "eid": "2-s2.0-105000527134", "pii": null, "open_access_url": "https://doi.org/10.7307/ptt.v37i2.634", "sources": [ { "db": "openalex", "stream": "TRUCK", "query_id": "TRUCK-2" }, { "db": "openalex", "stream": "UAV", "query_id": "UAV-1" }, { "db": "openalex", "stream": "UAV", "query_id": "UAV-2" }, { "db": "scopus", "stream": "TRUCK", "query_id": "TRUCK-2" }, { "db": "scopus", "stream": "UAV", "query_id": "UAV-1" }, { "db": "scopus", "stream": "UAV", "query_id": "UAV-2" } ], "streams": [ "TRUCK", "UAV" ], "relevance_signals": [ "UAV" ], "auto_exclude_reason": null, "screening_status": "pending_human_screening", "screened_by": "auto-v1.0.0" }, { "id": "doi:10.3390/drones9050368", "doi": "10.3390/drones9050368", "title": "Bridging ACO-Based Drone Logistics and Computing Continuum for Enhanced Smart City Applications", "year": 2025, "authors": [ "Salvatore Rosario Bassolillo", "Egidio D’Amato", "Immacolata Notaro", "Luca D’Agati", "Giovanni Merlino", "Giuseppe Tricomi" ], "first_author": "Salvatore Rosario Bassolillo", "venue": "Drones", "volume": "9", "pages": null, "type": "article", "language": "en", "abstract": "In the context of evolving Smart Cities, the integration of drone technology and distributed computing paradigms presents significant potential for enhancing urban infrastructure and services. This paper proposes a comprehensive approach to optimizing urban delivery logistics through a cloud-based model that employs Ant Colony Optimization (ACO) for planning and Model Predictive Control (MPC) for trajectory tracking within a broader Computing Continuum framework. The proposed system addresses the Capacitated Vehicle Routing Problem (CVRP) by considering both drone capacity constraints and autonomy, using the ACO-based algorithm to efficiently assign delivery destinations while minimizing travel distances. Collision-free paths are computed by using a Visibility Graph (VG) based approach, and MPC controllers enable drones to adapt to dynamic obstacles in real time. Additionally, this work explores how clusters of drones can be deployed as edge devices within the Computing Continuum, seamlessly integrating with IoT sensors and fog computing infrastructure to support various urban applications, such as traffic management, crowd monitoring, and infrastructure inspections. This dual-architecture approach, combining the optimization capabilities of ACO with the flexible, distributed nature of the Computing Continuum, allows for scalable and efficient urban drone deployment. Simulation results validate the effectiveness of the proposed model in enhancing delivery efficiency and collision avoidance while demonstrating the potential of integrating drone technology into Smart City environments for improved data collection and real-time response.", "keywords": [ "Drone", "Bridging (networking)", "Computer science", "Computer security" ], "cited_by_openalex": 8, "cited_by_scopus": "8", "eid": "2-s2.0-105006652087", "pii": null, "open_access_url": "https://www.mdpi.com/2504-446X/9/5/368/pdf?version=1747193597", "sources": [ { "db": "openalex", "stream": "TRUCK", "query_id": "TRUCK-2" }, { "db": "openalex", "stream": "UAV", "query_id": "UAV-2" }, { "db": "scopus", "stream": "TRUCK", "query_id": "TRUCK-2" }, { "db": "scopus", "stream": "UAV", "query_id": "UAV-2" } ], "streams": [ "TRUCK", "UAV" ], "relevance_signals": [ "UAV" ], "auto_exclude_reason": null, "screening_status": "pending_human_screening", "screened_by": "auto-v1.0.0" }, { "id": "doi:10.3390/drones9040280", "doi": "10.3390/drones9040280", "title": "Integrating Autonomous Vehicles and Drones for Last-Mile Delivery: A Routing Problem with Two Types of Drones and Multiple Visits", "year": 2025, "authors": [ "Jili Kong", "Minhui Xie", "Hao Wang" ], "first_author": "Jili Kong", "venue": "Drones", "volume": "9", "pages": null, "type": "article", "language": "en", "abstract": "With the growing demand for delivery services and the escalating labor costs, much effort has been made to achieve faster and cost-efficient delivery. A promising emerging strategy involves the integration of autonomous delivery vehicles or drones into the last-mile delivery. This study presents a fully automated last-mile delivery system that synergistically integrates autonomous vehicles and drones. We also introduce a novel variant of the vehicle routing problem with drones, referred to as the hybrid autonomous vehicle-drone routing problem (HAVDRP). In HAVDRP, we employ three delivery tools: autonomous vehicles, vehicle-carried drones, and independent drones. The aim is to fully leverage the advantages of autonomous vehicles and drones to provide customers with more efficient last-mile delivery services. An improved adaptive large neighborhood search algorithm is developed to address this problem. The algorithm incorporates a tabu list and an adaptive mechanism specifically designed for the HAVDRP, thereby augmenting the search efficiency. Computational experiments are conducted to evaluate the efficiency of the designed algorithm. Additionally, sensitivity analyses are conducted to explore the influences of some key parameters on the total time, which includes the cumulative working time of autonomous vehicles and drones. Based on the results of sensitivity analyses, we propose some management recommendations for the fully automated last-mile delivery system utilizing autonomous vehicles and drones.", "keywords": [ "Drone", "Mile", "Routing (electronic design automation)", "Last mile (transportation)", "Computer science", "Aeronautics", "Engineering", "Computer network", "Geography", "Biology" ], "cited_by_openalex": 10, "cited_by_scopus": "8", "eid": "2-s2.0-105003568378", "pii": null, "open_access_url": "https://www.mdpi.com/2504-446X/9/4/280/pdf?version=1744183678", "sources": [ { "db": "openalex", "stream": "UAV", "query_id": "UAV-1" }, { "db": "openalex", "stream": "UAV", "query_id": "UAV-2" }, { "db": "scopus", "stream": "UAV", "query_id": "UAV-1" }, { "db": "scopus", "stream": "UAV", "query_id": "UAV-2" } ], "streams": [ "UAV" ], "relevance_signals": [ "UAV" ], "auto_exclude_reason": null, "screening_status": "pending_human_screening", "screened_by": "auto-v1.0.0" }, { "id": "doi:10.1007/s10732-024-09543-0", "doi": "10.1007/s10732-024-09543-0", "title": "Transforming last mile delivery with heterogeneous assistants: drones and delivery robots", "year": 2025, "authors": [ "Cheng Chen", "Emrah Demir", "Xi Hu", "Hainan Huang" ], "first_author": "Cheng Chen", "venue": "Journal of Heuristics", "volume": "31", "pages": null, "type": "article", "language": "en", "abstract": null, "keywords": [ "Drone", "Mile", "Last mile (transportation)", "Computer science", "Robot", "Aeronautics", "Engineering", "Geography", "Artificial intelligence", "Biology" ], "cited_by_openalex": 8, "cited_by_scopus": "8", "eid": "2-s2.0-85218126206", "pii": null, "open_access_url": "https://doi.org/10.1007/s10732-024-09543-0", "sources": [ { "db": "openalex", "stream": "UAV", "query_id": "UAV-1" }, { "db": "scopus", "stream": "TRUCK", "query_id": "TRUCK-1" }, { "db": "scopus", "stream": "UAV", "query_id": "UAV-1" }, { "db": "scopus", "stream": "UAV", "query_id": "UAV-2" } ], "streams": [ "TRUCK", "UAV" ], "relevance_signals": [ "UAV" ], "auto_exclude_reason": null, "screening_status": "pending_human_screening", "screened_by": "auto-v1.0.0" }, { "id": "doi:10.1016/j.tre.2025.104047", "doi": "10.1016/j.tre.2025.104047", "title": "Parcel delivery by vehicle and drone in ordered customer neighborhoods", "year": 2025, "authors": [ "Ahmed Eisa Ghoniem", "Semih Boz", "Amro M. El-Adle" ], "first_author": "Ahmed Eisa Ghoniem", "venue": "Transportation Research Part E Logistics and Transportation Review", "volume": "197", "pages": null, "type": "article", "language": "en", "abstract": null, "keywords": [ "Drone", "Transport engineering", "Business", "Computer science", "Engineering" ], "cited_by_openalex": 8, "cited_by_scopus": "8", "eid": "2-s2.0-105000585317", "pii": "S1366554525000882", "open_access_url": "https://doi.org/10.1016/j.tre.2025.104047", "sources": [ { "db": "openalex", "stream": "UAV", "query_id": "UAV-1" }, { "db": "scopus", "stream": "UAV", "query_id": "UAV-1" }, { "db": "scopus", "stream": "UAV", "query_id": "UAV-2" } ], "streams": [ "UAV" ], "relevance_signals": [ "UAV" ], "auto_exclude_reason": null, "screening_status": "pending_human_screening", "screened_by": "auto-v1.0.0" }, { "id": "doi:10.1016/j.trc.2025.105189", "doi": "10.1016/j.trc.2025.105189", "title": "Collaborative vessel–unmanned aerial vehicle routing for time-window-constrained offshore parcel delivery", "year": 2025, "authors": [ "Yantong Li", "Shengjie Wang", "Hairui Sun", "Shanshan Zhou" ], "first_author": "Yantong Li", "venue": "Transportation Research Part C Emerging Technologies", "volume": "178", "pages": null, "type": "article", "language": "en", "abstract": null, "keywords": [ "Submarine pipeline", "Window (computing)", "Marine engineering", "Vehicle routing problem", "Routing (electronic design automation)", "Transport engineering", "Computer science", "Aeronautics", "Environmental science", "Engineering", "Real-time computing", "Computer network" ], "cited_by_openalex": 6, "cited_by_scopus": "8", "eid": "2-s2.0-105008822888", "pii": "S0968090X25001937", "open_access_url": "https://doi.org/10.1016/j.trc.2025.105189", "sources": [ { "db": "openalex", "stream": "UAV", "query_id": "UAV-1" }, { "db": "openalex", "stream": "UAV", "query_id": "UAV-2" }, { "db": "scopus", "stream": "UAV", "query_id": "UAV-1" }, { "db": "scopus", "stream": "UAV", "query_id": "UAV-2" } ], "streams": [ "UAV" ], "relevance_signals": [ "UAV" ], "auto_exclude_reason": null, "screening_status": "pending_human_screening", "screened_by": "auto-v1.0.0" }, { "id": "doi:10.1016/j.rtbm.2025.101365", "doi": "10.1016/j.rtbm.2025.101365", "title": "Delivering tomorrow today: The role of cutting-edge technologies such as Artificial Intelligence in drones in shaping new business models", "year": 2025, "authors": [ "Sofia Gomes", "João Morais Lopes", "Bruno Barbosa Sousa" ], "first_author": "Sofia Gomes", "venue": "Research in Transportation Business & Management", "volume": "60", "pages": null, "type": "article", "language": "en", "abstract": "Drone delivery services, wich enable faster and more efficient deliveries, reduce costs, minimize environmental impacts and increase satisfaction, have revolutionized global logistics services. Despite these advantages, there are still obstacles to consumers' acceptance of these service, so it is necessary to understand their motivations. This study evaluates how acceptance of the technology influences the perceived usefulness of drone delivery services and the intention to adopt them, considering consumer attitude as a mediating factor. A total of 1108 answers were collected from Portuguese citizens and the Partial Least Square method was applied to a proposed research model. The drone delivery service in Portugal is not yet available in logistics chains. As such, the participants in this study do not yet have an opinion based on experience already carried out. The results indicate that the perceived usefulness of drone delivery services influences consumer attitudes and intention to use them. The technological and task characteristics of drone parcel delivery services positively influence consumers' perceived usefulness of this service. It was also found that consumers are more willing to adopt these services if they are perceived as useful. From the perspective of technology acceptance model (TAM) theory, this study brings empirical insights to extend the literature to drone parcel delivery service technology, and a new model for consumer acceptance of this service is proposed. This study is pioneering in the Portuguese context. Some practical implications are left to help companies and policymakers in faster introducing these services worldwide, namely in Portugal.", "keywords": [ "Drone", "Enhanced Data Rates for GSM Evolution", "Engineering", "Business intelligence", "Computer science", "Artificial intelligence", "Aerospace engineering", "Knowledge management", "Biology" ], "cited_by_openalex": 8, "cited_by_scopus": "8", "eid": "2-s2.0-105001798167", "pii": "S221053952500080X", "open_access_url": "https://doi.org/10.1016/j.rtbm.2025.101365", "sources": [ { "db": "openalex", "stream": "UAV", "query_id": "UAV-1" }, { "db": "scopus", "stream": "UAV", "query_id": "UAV-1" } ], "streams": [ "UAV" ], "relevance_signals": [ "UAV" ], "auto_exclude_reason": null, "screening_status": "pending_human_screening", "screened_by": "auto-v1.0.0" }, { "id": "doi:10.1016/j.tre.2025.104481", "doi": "10.1016/j.tre.2025.104481", "title": "Distributionally robust scheduling optimization for pharmaceutical delivery using coordinated mother-end drones under post-earthquake road disruptions", "year": 2025, "authors": [ "Laijun Zhao", "Qin Huang", "Changzhi Wu" ], "first_author": "Laijun Zhao", "venue": "Transportation Research Part E Logistics and Transportation Review", "volume": "205", "pages": null, "type": "article", "language": "en", "abstract": null, "keywords": [ "Drone", "Robust optimization", "Scheduling (production processes)", "Robustness (evolution)", "Cluster analysis", "Stochastic programming", "Linear programming", "Optimization problem" ], "cited_by_openalex": 8, "cited_by_scopus": "8", "eid": "2-s2.0-105020854630", "pii": "S1366554525005228", "open_access_url": "https://doi.org/10.1016/j.tre.2025.104481", "sources": [ { "db": "openalex", "stream": "UAV", "query_id": "UAV-1" }, { "db": "scopus", "stream": "UAV", "query_id": "UAV-1" }, { "db": "scopus", "stream": "UAV", "query_id": "UAV-2" } ], "streams": [ "UAV" ], "relevance_signals": [ "UAV_NO_CTX" ], "auto_exclude_reason": "EC-4-topic", "screening_status": "auto_excluded", "screened_by": "auto-v1.0.0" }, { "id": "doi:10.23919/jsee.2025.000020", "doi": "10.23919/jsee.2025.000020", "title": "Vehicle and Onboard UAV Collaborative Delivery Route Planning: Considering Energy Function with Wind and Payload", "year": 2025, "authors": [ "Jingfeng Guo", "Rui Song", "Shiwei He" ], "first_author": "Jingfeng Guo", "venue": "Journal of Systems Engineering and Electronics", "volume": null, "pages": null, "type": "article", "language": "en", "abstract": "The rapid evolution of unmanned aerial vehicle (UAV) technology and autonomous capabilities has positioned UAV as promising last-mile delivery means. Vehicle and onboard UAV collaborative delivery is introduced as a novel delivery mode. Spatiotemporal collaboration, along with energy consumption with payload and wind conditions play important roles in delivery route planning. This paper introduces the traveling salesman problem with time window and onboard UAV (TSP-TWOUAV) and emphasizes the consideration of real-world scenarios, focusing on time collaboration and energy consumption with wind and payload. To address this, a mixed integer linear programming (MILP) model is formulated to minimize the energy consumption costs of vehicle and UAV. Furthermore, an adaptive large neighborhood search (ALNS) algorithm is applied to identify high-quality solutions efficiently. The effectiveness of the proposed model and algorithm is validated through numerical tests on real geographic instances and sensitivity analysis of key parameters is conducted.", "keywords": [ "Payload (computing)", "Function (biology)", "Computer science", "Energy (signal processing)", "Route planning", "Wind power", "Engineering", "Aerospace engineering", "Computer network", "Electrical engineering", "Transport engineering", "Physics" ], "cited_by_openalex": 8, "cited_by_scopus": 0, "eid": null, "pii": null, "open_access_url": "https://doi.org/10.23919/jsee.2025.000020", "sources": [ { "db": "openalex", "stream": "UAV", "query_id": "UAV-1" } ], "streams": [ "UAV" ], "relevance_signals": [ "UAV" ], "auto_exclude_reason": null, "screening_status": "pending_human_screening", "screened_by": "auto-v1.0.0" }, { "id": "doi:10.1016/j.cor.2025.107306", "doi": "10.1016/j.cor.2025.107306", "title": "Improved Benders decomposition for home healthcare vehicle and drone routing problem in two-echelon supply chains", "year": 2025, "authors": [ "Behrouz Mohammadi-Kordkheili", "Rashed Sahraeian", "Yasel Costa" ], "first_author": "Behrouz Mohammadi-Kordkheili", "venue": "Computers & Operations Research", "volume": "186", "pages": null, "type": "article", "language": "en", "abstract": null, "keywords": [ "Drone", "Supply chain", "Routing (electronic design automation)", "Particle swarm optimization", "Vehicle routing problem", "Payload (computing)", "Genetic algorithm", "Wind power", "Decomposition" ], "cited_by_openalex": 3, "cited_by_scopus": "8", "eid": "2-s2.0-105019508835", "pii": "S0305054825003351", "open_access_url": "https://doi.org/10.1016/j.cor.2025.107306", "sources": [ { "db": "openalex", "stream": "UAV", "query_id": "UAV-2" }, { "db": "scopus", "stream": "UAV", "query_id": "UAV-2" } ], "streams": [ "UAV" ], "relevance_signals": [ "UAV_NO_CTX" ], "auto_exclude_reason": "EC-4-topic", "screening_status": "auto_excluded", "screened_by": "auto-v1.0.0" }, { "id": "doi:10.1016/j.cor.2025.107057", "doi": "10.1016/j.cor.2025.107057", "title": "Integrated electric ground vehicle and drone with blockchain-driven approach for routing delivery", "year": 2025, "authors": [ "Ramdhan Nugraha", "Adriansyah Dwi Rendragraha", "Soo Young Shin" ], "first_author": "Ramdhan Nugraha", "venue": "Computers & Operations Research", "volume": "180", "pages": null, "type": "article", "language": "en", "abstract": null, "keywords": [ "Blockchain", "Drone", "Computer science", "Routing (electronic design automation)", "Vehicle routing problem", "Electric vehicle", "Computer security", "Embedded system", "Physics" ], "cited_by_openalex": 8, "cited_by_scopus": "8", "eid": "2-s2.0-105001829502", "pii": "S0305054825000851", "open_access_url": "https://doi.org/10.1016/j.cor.2025.107057", "sources": [ { "db": "openalex", "stream": "UAV", "query_id": "UAV-2" }, { "db": "scopus", "stream": "UAV", "query_id": "UAV-2" } ], "streams": [ "UAV" ], "relevance_signals": [ "UAV_NO_CTX" ], "auto_exclude_reason": "EC-4-topic", "screening_status": "auto_excluded", "screened_by": "auto-v1.0.0" }, { "id": "doi:10.1016/j.tbs.2025.101142", "doi": "10.1016/j.tbs.2025.101142", "title": "City Fly: Modeling demand and vertiport location jointly for urban commuting", "year": 2025, "authors": [ "Liyaning Maggie Tang", "Chuanxiang Yue", "Lijing Ma", "Jiahong Zhao", "Yuanqing Zhou" ], "first_author": "Liyaning Maggie Tang", "venue": "Travel Behaviour and Society", "volume": "42", "pages": null, "type": "article", "language": "en", "abstract": "The rapid development of electric vertical take-off and landing (eVTOL) aircraft presents transformative opportunities for urban air mobility (UAM). As cities globally accelerate infrastructure development, vertiport placement must reconcile demand-driven accessibility with geographic feasibility to address societal needs. However, only a limited number of studies have embedded precise demand analysis into vertiport location selection models, and empirical research using real-world data remains underexplored. This paper proposes a novel three-step demand forecasting and multi-objective optimization model (3DF-MOM) that jointly addresses these challenges. The model predicts UAM commuting demand with minimal prior knowledge, utilizing urban geographic information system (GIS) layers to optimize vertiport location selection under dual societal-geographic criteria: minimizing noise exposure for densely populated neighborhoods, lowering operational expenditures through cost-effective spatial configuration, and maximizing demand coverage across spatially fragmented urban zones. An empirical study was conducted based on urban geographic information data from Chengdu, China, in combination with ArcGIS. The results show that there will be 155 eVTOL aircraft commuting trips per day in Chengdu by 2030. The model optimally balances noise control, efficiency, and demand coverage with six vertiports of different sizes. The 3DF-MOM framework advances sustainable low-altitude infrastructure development by embedding geographic intelligence and social equity metrics into decision-making, offering policymakers a scalable tool to harmonize environmental, economic, and spatially inclusive service quality objectives.", "keywords": [ "Poison control", "Urban planning", "Human factors and ergonomics" ], "cited_by_openalex": 5, "cited_by_scopus": "8", "eid": "2-s2.0-105017025025", "pii": "S2214367X25001607", "open_access_url": "https://doi.org/10.1016/j.tbs.2025.101142", "sources": [ { "db": "openalex", "stream": "UAV", "query_id": "UAV-3" }, { "db": "scopus", "stream": "UAV", "query_id": "UAV-3" } ], "streams": [ "UAV" ], "relevance_signals": [ "UAV_NO_CTX" ], "auto_exclude_reason": "EC-4-topic", "screening_status": "auto_excluded", "screened_by": "auto-v1.0.0" }, { "id": "doi:10.3390/app15073965", "doi": "10.3390/app15073965", "title": "Network Topology-Driven Vertiport Placement Strategy: Integrating Urban Air Mobility with the Seoul Metropolitan Railway System", "year": 2025, "authors": [ "Ki-Han Song", "HaJeong Lee" ], "first_author": "Ki-Han Song", "venue": "Applied Sciences", "volume": "15", "pages": null, "type": "article", "language": "en", "abstract": "We propose a vertiport location-allocation methodology for urban air mobility (UAM) from the perspective of transportation network topology. The location allocation of vertiports within a transportation network is a crucial factor in determining the unique characteristics of UAM compared to existing transportation modes. However, as UAM is still in the pre-commercialization phase, with significant uncertainties, there are limitations in applying location-allocation models that optimize objective functions such as maximizing service coverage or minimizing travel distance. Instead, vertiport location allocation should be approached from a strategic perspective, taking into account public capital investments aimed at improving the transportation network by leveraging UAM’s distinct characteristics compared to existing urban transportation modes. Therefore, we present a methodology for evaluating the impact of vertiport location-allocation strategies on changes in transportation network topology. To analyze network topology, we use the Seoul Metropolitan railway network as the base network and construct scenarios where vertiports are allocated based on highly connected nodes and those prioritizing structurally vulnerable nodes. We then compare and analyze global network efficiency, algebraic connectivity, average shortest path length, local clustering coefficient, transitivity, degree assortativity and modularity. We confirm that while allocating vertiports based on network centrality improves connectivity compared to vulnerability-based allocation, the latter approach is superior in terms of network efficiency. Additionally, as the proportion of vertiports increases, the small-world property of the network rapidly increases, indicating that the vertiport network can fundamentally alter the structure of multimodal transportation systems. Regardless of whether centrality or vulnerability is prioritized, we observe that connectivity increase exponentially, while network efficiency changes linearly with the increase in vertiport proportion. Our findings highlight the necessity of a network-based approach to vertiport location allocation in the early stages of UAM commercialization, and we expect our results to inform future research directions on vertiport allocation in multimodal transportation networks.", "keywords": [ "Metropolitan area", "Topology (electrical circuits)", "Transport engineering", "Computer science", "Geography", "Engineering", "Electrical engineering" ], "cited_by_openalex": 3, "cited_by_scopus": "8", "eid": "2-s2.0-105002277190", "pii": null, "open_access_url": "https://www.mdpi.com/2076-3417/15/7/3965/pdf?version=1743687369", "sources": [ { "db": "openalex", "stream": "UAV", "query_id": "UAV-3" }, { "db": "scopus", "stream": "UAV", "query_id": "UAV-3" } ], "streams": [ "UAV" ], "relevance_signals": [ "UAV" ], "auto_exclude_reason": null, "screening_status": "pending_human_screening", "screened_by": "auto-v1.0.0" }, { "id": "doi:10.1016/j.cstp.2024.101315", "doi": "10.1016/j.cstp.2024.101315", "title": "New ways of collecting urban freight traffic data and applications for urban freight policies and research", "year": 2025, "authors": [ "Dablanc L." ], "first_author": "Dablanc L.", "venue": "Case Studies on Transport Policy", "volume": "19", "pages": null, "type": "Article", "language": null, "abstract": null, "keywords": [], "cited_by_openalex": 0, "cited_by_scopus": "8", "eid": "2-s2.0-85209350563", "pii": "S2213624X24001706", "open_access_url": null, "sources": [ { "db": "scopus", "stream": "TRUCK", "query_id": "TRUCK-1" } ], "streams": [ "TRUCK" ], "relevance_signals": [ "NO_TECHNOLOGY_MATCH" ], "auto_exclude_reason": "EC-4-topic", "screening_status": "auto_excluded", "screened_by": "auto-v1.0.0" }, { "id": "doi:10.1016/j.trpro.2025.03.105", "doi": "10.1016/j.trpro.2025.03.105", "title": "Detecting Road Defects and Hazards in Metropolitan Environments Using Optimized Deep Learning Techniques", "year": 2025, "authors": [ "Sattar K.A." ], "first_author": "Sattar K.A.", "venue": "Transportation Research Procedia", "volume": "84", "pages": "528-533", "type": "Conference Paper", "language": null, "abstract": null, "keywords": [], "cited_by_openalex": 0, "cited_by_scopus": "8", "eid": "2-s2.0-105001503300", "pii": "S235214652500153X", "open_access_url": null, "sources": [ { "db": "scopus", "stream": "TRUCK", "query_id": "TRUCK-1" } ], "streams": [ "TRUCK" ], "relevance_signals": [ "NO_TECHNOLOGY_MATCH" ], "auto_exclude_reason": "EC-4-topic", "screening_status": "auto_excluded", "screened_by": "auto-v1.0.0" }, { "id": "doi:10.3390/su17146390", "doi": "10.3390/su17146390", "title": "Optimization of a Cooperative Truck–Drone Delivery System in Rural China: A Sustainable Logistics Approach for Diverse Terrain Conditions", "year": 2025, "authors": [ "Dai D." ], "first_author": "Dai D.", "venue": "Sustainability Switzerland", "volume": "17", "pages": null, "type": "Article", "language": null, "abstract": null, "keywords": [], "cited_by_openalex": 0, "cited_by_scopus": "8", "eid": "2-s2.0-105011867429", "pii": null, "open_access_url": null, "sources": [ { "db": "scopus", "stream": "UAV", "query_id": "UAV-1" } ], "streams": [ "UAV" ], "relevance_signals": [ "UAV_NO_CTX", "TRUCK_NO_CTX" ], "auto_exclude_reason": "EC-4-topic", "screening_status": "auto_excluded", "screened_by": "auto-v1.0.0" }, { "id": "doi:10.1109/tits.2024.3468007", "doi": "10.1109/tits.2024.3468007", "title": "TAAODV: TOPSIS-Aided AODV Routing Protocol to Diffuse Mass Information in the Unstable and High-Density UAV Ad Hoc Networks", "year": 2025, "authors": [ "Li Y." ], "first_author": "Li Y.", "venue": "IEEE Transactions on Intelligent Transportation Systems", "volume": "26", "pages": "17255-17268", "type": "Article", "language": null, "abstract": null, "keywords": [], "cited_by_openalex": 0, "cited_by_scopus": "8", "eid": "2-s2.0-85207633612", "pii": null, "open_access_url": null, "sources": [ { "db": "scopus", "stream": "UAV", "query_id": "UAV-2" } ], "streams": [ "UAV" ], "relevance_signals": [ "UAV_NO_CTX" ], "auto_exclude_reason": "EC-4-topic", "screening_status": "auto_excluded", "screened_by": "auto-v1.0.0" }, { "id": "doi:10.1080/00207543.2025.2557530", "doi": "10.1080/00207543.2025.2557530", "title": "An innovative framework integrating MILP and a parallel optimal algorithm for UAV-Enabled last-Mile delivery", "year": 2025, "authors": [ "Arash Amirteimoori", "Reza Kia", "Moataz Mohamed", "Gerhard‐Wilhelm Weber" ], "first_author": "Arash Amirteimoori", "venue": "International Journal of Production Research", "volume": "64", "pages": "777-797", "type": "article", "language": "en", "abstract": "Urban last-mile delivery faces scalability, cost, and environmental challenges due to truck-based systems’ congestion and emissions. This study proposes a Customer-Centric UAV Last-Mile Delivery (CULMD) framework, eliminating truck dependency by optimising UAV routing, charging infrastructure, and sequencing for sustainable urban logistics. We introduce the Parallel Optimal Algorithm with MILP (POAM), a novel approach that decomposes the problem into two sub-problems: parallelised exact combinatorial optimisation for tour and parcel allocation, and MILP-based routing. POAM leverages multi-core CPU parallelisation to solve tour allocation across multiple regions and delivery windows concurrently, ensuring global optimality while reducing runtime by 21.5% compared to the Two-Stage Model (TSM) and 16-fold compared to the Integrated Model (IM). It outperforms metaheuristics like the Artificial Lemming Algorithm (ALA) and Hybrid Genetic Algorithm with Type-Aware Chromosomes (HGATAC+) by 12% and 11% in objective value, respectively. Sensitivity analyses show a 20% increase in regions cuts runtime by 68%, and a 20% increase in UAV load capacity reduces it by 22%. The CULMD framework, powered by POAM, advances sustainable logistics by minimising costs and environmental impacts, offering scalable solutions for urban delivery systems.", "keywords": [ "Optimal design", "Production (economics)", "Minification", "Key (lock)", "Algorithm design", "Efficient algorithm" ], "cited_by_openalex": 7, "cited_by_scopus": "7", "eid": "2-s2.0-105017028381", "pii": null, "open_access_url": "https://doi.org/10.1080/00207543.2025.2557530", "sources": [ { "db": "openalex", "stream": "TRUCK", "query_id": "TRUCK-1" }, { "db": "openalex", "stream": "TRUCK", "query_id": "TRUCK-2" }, { "db": "openalex", "stream": "TRUCK", "query_id": "TRUCK-3" }, { "db": "openalex", "stream": "UAV", "query_id": "UAV-1" }, { "db": "scopus", "stream": "TRUCK", "query_id": "TRUCK-1" }, { "db": "scopus", "stream": "TRUCK", "query_id": "TRUCK-2" }, { "db": "scopus", "stream": "TRUCK", "query_id": "TRUCK-3" }, { "db": "scopus", "stream": "UAV", "query_id": "UAV-1" } ], "streams": [ "TRUCK", "UAV" ], "relevance_signals": [ "UAV", "TRUCK" ], "auto_exclude_reason": null, "screening_status": "pending_human_screening", "screened_by": "auto-v1.0.0" }, { "id": "doi:10.3390/logistics9040135", "doi": "10.3390/logistics9040135", "title": "A Holistic Human-Based Approach to Last-Mile Delivery: Stakeholder-Based Evaluation of Logistics Strategies", "year": 2025, "authors": [ "Aleksa Maravić", "Vukašin Pajić", "Milan M. Andrejić" ], "first_author": "Aleksa Maravić", "venue": "Logistics", "volume": "9", "pages": null, "type": "article", "language": "en", "abstract": "Background: The growing complexity of last-mile logistics (LML) in urban environments has created an urgent need for sustainable, efficient, and stakeholder-inclusive solutions. This study addresses these challenges by exploring a holistic, human-centered approach to evaluating LML strategies, recognizing the diverse expectations of logistics service providers, delivery personnel, customers, and local authorities. Methods: To capture both subjective and objective factors influencing decision-making, the study employs a Multi-Criteria Decision-Making (MCDM) framework that integrates the Fuzzy Analytic Hierarchy Process (FAHP) and Evaluation based on Distance from Average Solution (EDAS). Evaluation criteria encompass operational efficiency, environmental impact, social acceptance, and technological feasibility. Results: Six LML solutions were assessed and ranked using this approach. The results indicate that the cargo bike (A2) emerged as the most favorable alternative, while electric freight vehicles (A5) ranked lowest. These findings reflect significant trade-offs between stakeholder priorities and the varying performance of different delivery strategies. Conclusions: The proposed methodology offers practical guidance for designing balanced and socially responsible urban logistics systems. By emphasizing inclusivity in decision-making, this approach supports the development of LML solutions that are not only operationally effective but also environmentally sustainable and broadly accepted by stakeholders.", "keywords": [ "Process (computing)", "Analytic hierarchy process", "Stakeholder", "Fuzzy logic", "Service (business)", "Sustainable development" ], "cited_by_openalex": 6, "cited_by_scopus": "7", "eid": "2-s2.0-105025722125", "pii": null, "open_access_url": "https://www.mdpi.com/2305-6290/9/4/135/pdf?version=1758633368", "sources": [ { "db": "openalex", "stream": "TRUCK", "query_id": "TRUCK-1" }, { "db": "scopus", "stream": "TRUCK", "query_id": "TRUCK-1" } ], "streams": [ "TRUCK" ], "relevance_signals": [ "TRUCK" ], "auto_exclude_reason": null, "screening_status": "pending_human_screening", "screened_by": "auto-v1.0.0" }, { "id": "doi:10.3390/aerospace12110967", "doi": "10.3390/aerospace12110967", "title": "A Scheduling Model for Optimizing Joint UAV-Truck Operations in Last-Mile Logistics Distribution", "year": 2025, "authors": [ "Xiaocheng Liu", "Yuhan Wang", "Meilong Le", "Zhongye Wang", "Honghai Zhang" ], "first_author": "Xiaocheng Liu", "venue": "Aerospace", "volume": "12", "pages": null, "type": "article", "language": "en", "abstract": "This paper investigates the joint scheduling problem of unmanned aerial vehicles (UAVs) and trucks for community logistics, where UAVs act as service providers for last-mile delivery and trucks serve as mobile storage platforms for drone deployment. To address the complexity of decision variables, this paper proposes a three-stage solution scheme that divides the problem into the following: (1) UAV mission set generation via clustering, (2) truck-drone route planning, and (3) collaborative scheduling via a Mixed-Integer Linear Programming (MILP) model. The MILP model, solved exactly using Gurobi, optimizes truck movements and drone operations to minimize total delivery time, representing the core contribution. In the experimental section, to verify the correctness and effectiveness of the proposed Mixed-Integer Linear Programming (MILP) model, comparative experiments were conducted against a heuristic algorithm based on empirical intuitive decision-making. The solution results of experiments with different scales indicate that the joint scheduling model outperforms the scheduling strategies based on empirical experience across various scenario sizes. Additionally, multiple experiments conducted under different parameter settings within the same scenario successfully demonstrated that the model can stably be solved without deteriorating results when parameters change. Furthermore, this study observed that the relationship between the increase in the number of drones and the decrease in the total consumed time is not a simple linear relationship. This phenomenon is speculated to be due to the periodic patterns exhibited by the drone scheduling sequence, which align with the average duration of individual tasks.", "keywords": [ "Scheduling (production processes)", "Drone", "Correctness", "Linear programming", "Job shop scheduling", "Truck" ], "cited_by_openalex": 8, "cited_by_scopus": "7", "eid": "2-s2.0-105023188221", "pii": null, "open_access_url": "https://www.mdpi.com/2226-4310/12/11/967/pdf?version=1761751548", "sources": [ { "db": "openalex", "stream": "TRUCK", "query_id": "TRUCK-1" }, { "db": "openalex", "stream": "UAV", "query_id": "UAV-1" }, { "db": "scopus", "stream": "TRUCK", "query_id": "TRUCK-1" }, { "db": "scopus", "stream": "UAV", "query_id": "UAV-1" } ], "streams": [ "TRUCK", "UAV" ], "relevance_signals": [ "UAV", "TRUCK" ], "auto_exclude_reason": null, "screening_status": "pending_human_screening", "screened_by": "auto-v1.0.0" }, { "id": "doi:10.1016/j.jtrangeo.2025.104125", "doi": "10.1016/j.jtrangeo.2025.104125", "title": "Explaining the dynamics and identifying potential risks of hazardous materials truck movements", "year": 2025, "authors": [ "Zhaoxiang Li", "Xu Ma", "Ruixu Pan", "Chao Yang", "Quan Yuan" ], "first_author": "Zhaoxiang Li", "venue": "Journal of Transport Geography", "volume": "123", "pages": null, "type": "article", "language": "en", "abstract": null, "keywords": [ "Truck", "Hazardous waste", "Transport engineering", "Dynamics (music)", "Forensic engineering", "Engineering", "Waste management", "Psychology", "Automotive engineering" ], "cited_by_openalex": 7, "cited_by_scopus": "7", "eid": "2-s2.0-85215238033", "pii": "S096669232500016X", "open_access_url": "https://doi.org/10.1016/j.jtrangeo.2025.104125", "sources": [ { "db": "openalex", "stream": "TRUCK", "query_id": "TRUCK-1" }, { "db": "scopus", "stream": "TRUCK", "query_id": "TRUCK-1" } ], "streams": [ "TRUCK" ], "relevance_signals": [ "TRUCK_NO_CTX" ], "auto_exclude_reason": "EC-4-topic", "screening_status": "auto_excluded", "screened_by": "auto-v1.0.0" }, { "id": "doi:10.1016/j.cie.2025.111786", "doi": "10.1016/j.cie.2025.111786", "title": "Multi-objective optimization of a truck–drone delivery system for fair and efficient humanitarian logistics under disruption and disinformation", "year": 2025, "authors": [ "Ramin Talebi Khameneh", "Nafiseh Ghorbani-Renani", "José Emmanuel Ramírez-Márquez" ], "first_author": "Ramin Talebi Khameneh", "venue": "Computers & Industrial Engineering", "volume": "213", "pages": null, "type": "article", "language": "en", "abstract": null, "keywords": [ "Humanitarian aid", "Multi-objective optimization", "Stackelberg competition", "Humanitarian Logistics", "Pareto principle", "Sorting", "Drone", "Resilience (materials science)", "Genetic algorithm" ], "cited_by_openalex": 9, "cited_by_scopus": "7", "eid": "2-s2.0-105026124374", "pii": "S0360835225009325", "open_access_url": "https://doi.org/10.1016/j.cie.2025.111786", "sources": [ { "db": "openalex", "stream": "TRUCK", "query_id": "TRUCK-1" }, { "db": "openalex", "stream": "UAV", "query_id": "UAV-1" }, { "db": "openalex", "stream": "UAV", "query_id": "UAV-2" }, { "db": "scopus", "stream": "TRUCK", "query_id": "TRUCK-1" }, { "db": "scopus", "stream": "UAV", "query_id": "UAV-1" }, { "db": "scopus", "stream": "UAV", "query_id": "UAV-2" } ], "streams": [ "TRUCK", "UAV" ], "relevance_signals": [ "UAV_NO_CTX", "TRUCK_NO_CTX" ], "auto_exclude_reason": "EC-4-topic", "screening_status": "auto_excluded", "screened_by": "auto-v1.0.0" }, { "id": "doi:10.1016/j.ijhydene.2025.150806", "doi": "10.1016/j.ijhydene.2025.150806", "title": "Design and study of the effects of retrofitting diesel engines in hydrogen trucks through simulation", "year": 2025, "authors": [ "Sebastián Bibiloni-Ipata", "Vitor Vielmo-Cogo", "Geovane Prante", "Santiago Martínez-Boggio" ], "first_author": "Sebastián Bibiloni-Ipata", "venue": "International Journal of Hydrogen Energy", "volume": "163", "pages": null, "type": "article", "language": "en", "abstract": null, "keywords": [ "Truck", "Retrofitting", "Automotive engineering", "Diesel fuel", "Environmental science", "Computer science", "Waste management", "Engineering", "Structural engineering" ], "cited_by_openalex": 7, "cited_by_scopus": "7", "eid": "2-s2.0-105012290486", "pii": "S0360319925038066", "open_access_url": "https://doi.org/10.1016/j.ijhydene.2025.150806", "sources": [ { "db": "openalex", "stream": "TRUCK", "query_id": "TRUCK-1" }, { "db": "scopus", "stream": "TRUCK", "query_id": "TRUCK-1" } ], "streams": [ "TRUCK" ], "relevance_signals": [ "TRUCK_NO_CTX" ], "auto_exclude_reason": "EC-4-topic", "screening_status": "auto_excluded", "screened_by": "auto-v1.0.0" }, { "id": "doi:10.1016/j.tre.2025.104231", "doi": "10.1016/j.tre.2025.104231", "title": "To ride or to fly: Optimal freight-on-transit operations using drones", "year": 2025, "authors": [ "Jesus Osorio", "Yanfeng Ouyang" ], "first_author": "Jesus Osorio", "venue": "Transportation Research Part E Logistics and Transportation Review", "volume": "201", "pages": null, "type": "article", "language": "en", "abstract": "With the rapid growth of e-commerce, urban areas are facing increasing congestion, particularly from last-mile deliveries. This challenge has prompted the exploration of innovative solutions. One such promising approach is freight-on-transit (FoT) operations, which utilize existing high-capacity urban transit networks to transport goods to designated transit stations, where more energy-efficient and flexible modes complete the last-mile delivery. This paper proposes a modeling framework for optimizing FoT operations using drones. The proposed mixed-integer linear program formulation accounts for fixed transit vehicle schedules, capacity constraints, and drone battery limitations. The problem is decomposed into a min-cost flow and drone vehicle routing problem with time windows, and a Lagrangian relaxation with a column generation algorithm is proposed as the solution method. Numerical experiments on hypothetical networks demonstrate the system’s effectiveness, highlighting the importance of buffer capacity in transit vehicles and extended drone battery life. A real-world case study in Chicago’s Metra system reveals significant cost savings and operational benefits compared to traditional truck-based or drone-only delivery methods.", "keywords": [ "Drone", "Transit (satellite)", "Transport engineering", "Engineering", "Aeronautics", "Computer science", "Operations research", "Business", "Public transport" ], "cited_by_openalex": 10, "cited_by_scopus": "7", "eid": "2-s2.0-105008512599", "pii": "S1366554525002728", "open_access_url": "https://doi.org/10.1016/j.tre.2025.104231", "sources": [ { "db": "openalex", "stream": "TRUCK", "query_id": "TRUCK-1" }, { "db": "openalex", "stream": "UAV", "query_id": "UAV-1" }, { "db": "openalex", "stream": "UAV", "query_id": "UAV-2" }, { "db": "scopus", "stream": "TRUCK", "query_id": "TRUCK-1" }, { "db": "scopus", "stream": "UAV", "query_id": "UAV-1" }, { "db": "scopus", "stream": "UAV", "query_id": "UAV-2" } ], "streams": [ "TRUCK", "UAV" ], "relevance_signals": [ "UAV", "TRUCK" ], "auto_exclude_reason": null, "screening_status": "pending_human_screening", "screened_by": "auto-v1.0.0" }, { "id": "doi:10.1016/j.trb.2025.103313", "doi": "10.1016/j.trb.2025.103313", "title": "Integrated flexible transport service for passenger and freight under stochastic demand and service time", "year": 2025, "authors": [ "Enoch Lee", "Manzi Li", "Lubing Li", "Hong Kam Lo" ], "first_author": "Enoch Lee", "venue": "Transportation Research Part B Methodological", "volume": null, "pages": null, "type": "article", "language": "en", "abstract": null, "keywords": [ "Service (business)", "Reliability (semiconductor)", "Scalability", "Decomposition", "Public transport", "Service level", "Traffic congestion", "Traffic management", "Stochastic programming" ], "cited_by_openalex": 7, "cited_by_scopus": 0, "eid": null, "pii": null, "open_access_url": "https://doi.org/10.1016/j.trb.2025.103313", "sources": [ { "db": "openalex", "stream": "TRUCK", "query_id": "TRUCK-2" } ], "streams": [ "TRUCK" ], "relevance_signals": [ "NO_TECHNOLOGY_MATCH" ], "auto_exclude_reason": "EC-4-topic", "screening_status": "auto_excluded", "screened_by": "auto-v1.0.0" }, { "id": "doi:10.1016/j.ejor.2025.08.057", "doi": "10.1016/j.ejor.2025.08.057", "title": "The stochastic location-routing problem with parallel truck–drone operations for humanitarian aid delivery", "year": 2025, "authors": [ "Hannan Tureci-Isik", "Melih Çelik", "Ece Sancı" ], "first_author": "Hannan Tureci-Isik", "venue": "European Journal of Operational Research", "volume": "331", "pages": "242-259", "type": "article", "language": "en", "abstract": "Timely response in the aftermath of a disaster is crucial to alleviate loss of life and suffering. Timeliness of relief may be hampered by road network disruptions caused by the disaster, such as damage to road segments or debris covering the roads. The use of drones simultaneously with trucks can potentially help overcome issues around network disruptions and achieve more timely delivery of post-disaster aid. In an effort to shed more light into this potential, we address the problem of network design for parallel truck–drone operations by depot location prior to the disaster and routing of the vehicles in its aftermath. We incorporate the uncertainty on network disruption by modelling this problem as a two-stage stochastic program, which proves computationally challenging to solve to optimality for real-life disaster scenarios. Consequently, we propose a tailored heuristic based on variable neighbourhood search to find high-quality solutions efficiently. Our computational results on randomly generated instances and a case study from the 2011 Van Earthquake in Turkiye demonstrate the effectiveness of the heuristic, the benefits of employing both trucks and drones, and the significance of accounting for uncertainties in pre-disaster planning. • Network design and for a parallel truck–drone routing to deliver humanitarian aid. • Considers uncertain travel times due to network vulnerability and latency objective. • Introduces a flow-based formulation for sparse networks lacking triangle inequality. • Develops a tailored VNS for scenario-specific depot location and routing. • Applies model on a case study to draw managerial insights.", "keywords": [ "Drone", "Vehicle routing problem", "Truck", "Computer science", "Routing (electronic design automation)", "Operations research", "Mathematical optimization", "Computer network", "Engineering", "Mathematics", "Automotive engineering" ], "cited_by_openalex": 12, "cited_by_scopus": "7", "eid": "2-s2.0-105015206608", "pii": "S0377221725006940", "open_access_url": "https://doi.org/10.1016/j.ejor.2025.08.057", "sources": [ { "db": "openalex", "stream": "TRUCK", "query_id": "TRUCK-3" }, { "db": "openalex", "stream": "UAV", "query_id": "UAV-2" }, { "db": "scopus", "stream": "TRUCK", "query_id": "TRUCK-3" }, { "db": "scopus", "stream": "UAV", "query_id": "UAV-2" } ], "streams": [ "TRUCK", "UAV" ], "relevance_signals": [ "UAV_NO_CTX", "TRUCK_NO_CTX" ], "auto_exclude_reason": "EC-4-topic", "screening_status": "auto_excluded", "screened_by": "auto-v1.0.0" }, { "id": "doi:10.1016/j.isci.2025.112629", "doi": "10.1016/j.isci.2025.112629", "title": "From diesel to electric: potential of drayage trucks transition in Southern California", "year": 2025, "authors": [ "Guoliang Feng", "Craig Ross Rindt", "Stephen G. Ritchie" ], "first_author": "Guoliang Feng", "venue": "iScience", "volume": "28", "pages": null, "type": "article", "language": "en", "abstract": "Battery electric drayage trucks (BEDTs) offer an opportunity to decarbonize the drayage fleets. This article analyzes the potential of BEDTs using data on 1,051 drayage trucks in Southern California. A methodology is developed to evaluate energy and charger requirements across singleton, small, and large fleets. This study assesses the fraction of trucks that can be electrified using battery sizes from 100 to 1000 kWh. Our analysis reveals decreasing uncertainties for fleet electrification with increasing battery size and with offsite charging involved. Combining an 800-kWh battery with both depot and offsite charging using 350 kW chargers, approximately 95% of diesel drayage trucks can be electrified. However, singleton fleets demonstrate the lowest performance and experience substantial improvements through offsite charging. Preferred locations for depot and off-site chargers are identified near the Ports of Long Beach and Los Angeles, and the City of Ontario. These results provide essential guidance for electrifying drayage trucks.", "keywords": [ "Truck", "Diesel fuel", "Environmental science", "Chemistry", "Engineering", "Automotive engineering" ], "cited_by_openalex": 9, "cited_by_scopus": "7", "eid": "2-s2.0-105005599657", "pii": "S2589004225008909", "open_access_url": "https://doi.org/10.1016/j.isci.2025.112629", "sources": [ { "db": "openalex", "stream": "TRUCK", "query_id": "TRUCK-3" }, { "db": "scopus", "stream": "TRUCK", "query_id": "TRUCK-3" } ], "streams": [ "TRUCK" ], "relevance_signals": [ "TRUCK_NO_CTX" ], "auto_exclude_reason": "EC-4-topic", "screening_status": "auto_excluded", "screened_by": "auto-v1.0.0" }, { "id": "doi:10.1016/j.aei.2025.104008", "doi": "10.1016/j.aei.2025.104008", "title": "Multi-depot electric vehicle routing problem with drones considering time-dependent traffic", "year": 2025, "authors": [ "Hao Fan", "Kai Liu", "Jiangbo Wang", "Jian Zhao" ], "first_author": "Hao Fan", "venue": "Advanced Engineering Informatics", "volume": "69", "pages": null, "type": "article", "language": "en", "abstract": null, "keywords": [ "Drone", "Initialization", "Vehicle routing problem", "Population", "Particle swarm optimization", "Genetic algorithm", "Crossover", "Electric vehicle" ], "cited_by_openalex": 8, "cited_by_scopus": "7", "eid": "2-s2.0-105022280154", "pii": "S1474034625009012", "open_access_url": "https://doi.org/10.1016/j.aei.2025.104008", "sources": [ { "db": "openalex", "stream": "TRUCK", "query_id": "TRUCK-3" }, { "db": "openalex", "stream": "UAV", "query_id": "UAV-1" }, { "db": "openalex", "stream": "UAV", "query_id": "UAV-2" }, { "db": "scopus", "stream": "TRUCK", "query_id": "TRUCK-3" }, { "db": "scopus", "stream": "UAV", "query_id": "UAV-1" }, { "db": "scopus", "stream": "UAV", "query_id": "UAV-2" } ], "streams": [ "TRUCK", "UAV" ], "relevance_signals": [ "UAV_NO_CTX" ], "auto_exclude_reason": "EC-4-topic", "screening_status": "auto_excluded", "screened_by": "auto-v1.0.0" }, { "id": "doi:10.1016/j.tre.2025.104145", "doi": "10.1016/j.tre.2025.104145", "title": "Optimizing battery swapping for city-scale e-bike sharing systems: A three-stage spatial–temporal cluster-based approach", "year": 2025, "authors": [ "Siyu Shao", "Deyi Li", "Yaoming Zhou", "Jiuh‐Biing Sheu" ], "first_author": "Siyu Shao", "venue": "Transportation Research Part E Logistics and Transportation Review", "volume": "198", "pages": null, "type": "article", "language": "en", "abstract": null, "keywords": [ "Bike sharing", "Cluster (spacecraft)", "Scale (ratio)", "Stage (stratigraphy)", "Computer science", "Battery (electricity)", "Transport engineering", "Engineering", "Geography", "Cartography", "Computer network", "Geology" ], "cited_by_openalex": 8, "cited_by_scopus": "7", "eid": "2-s2.0-105002739390", "pii": "S1366554525001863", "open_access_url": "https://doi.org/10.1016/j.tre.2025.104145", "sources": [ { "db": "openalex", "stream": "TRUCK", "query_id": "TRUCK-3" }, { "db": "scopus", "stream": "TRUCK", "query_id": "TRUCK-3" } ], "streams": [ "TRUCK" ], "relevance_signals": [ "NO_TECHNOLOGY_MATCH" ], "auto_exclude_reason": "EC-4-topic", "screening_status": "auto_excluded", "screened_by": "auto-v1.0.0" }, { "id": "doi:10.1080/13675567.2025.2549129", "doi": "10.1080/13675567.2025.2549129", "title": "Modeling drone-enabled last-mile blood delivery systems for emergency healthcare", "year": 2025, "authors": [ "Yash Daultani", "Felix T.S. Chan", "Saurabh Pratap", "Mohit Goswami" ], "first_author": "Yash Daultani", "venue": "International Journal of Logistics Research and Applications", "volume": null, "pages": null, "type": "article", "language": "en", "abstract": "The management of the blood supply chain is of vital importance. The unavailability of blood and related constituents, such as plasma, red blood cells and platelets, may cause several complications and even be fatal for some patients. This problem further gets amplified, especially in emergency situations accompanied by disruptions in the road-based logistics infrastructure, as the demand for emergency blood packets surges suddenly. This paper models a drone-based last-mile delivery system for blood supply chains. The optimisation model deals with the distribution of blood to various hospitals while minimising the total demand-distance pair under distance and payload constraints. Further, the evolved mixed integer linear programming (MILP) model demonstrates multiple real-world scenarios. A comparison of the time efficiency and cost of traditional road-based logistics vis-à-vis a drone-based system to deliver blood packets is also shown. Several implications for researchers, logistics companies and experts working on drone-based logistics are also derived.", "keywords": [ "Health care", "Healthcare delivery", "Healthcare system", "Delivery system" ], "cited_by_openalex": 6, "cited_by_scopus": "7", "eid": "2-s2.0-105016714378", "pii": null, "open_access_url": "https://doi.org/10.1080/13675567.2025.2549129", "sources": [ { "db": "openalex", "stream": "UAV", "query_id": "UAV-1" }, { "db": "scopus", "stream": "UAV", "query_id": "UAV-1" } ], "streams": [ "UAV" ], "relevance_signals": [ "UAV" ], "auto_exclude_reason": null, "screening_status": "pending_human_screening", "screened_by": "auto-v1.0.0" }, { "id": "doi:10.55121/tdr.v3i1.449", "doi": "10.55121/tdr.v3i1.449", "title": "Integrating 5PL Frameworks with Drone-Based Last-Mile Delivery: A Model for Future-Ready Logistics", "year": 2025, "authors": [ "Tejinder Singh Lakhwani" ], "first_author": "Tejinder Singh Lakhwani", "venue": "Transportation Development Research", "volume": null, "pages": null, "type": "article", "language": "en", "abstract": "The rapid evolution of logistics service providers from 1PL to 5PL has underscored the growing need for intelligent, data-driven orchestration across the supply chain. Simultaneously, drone-based delivery has emerged as a promising solution to last-mile challenges, particularly in urban congestion zones and infrastructure-deficient rural areas. However, current deployments of drone logistics remain largely siloed and unintegrated with broader digital logistics platforms. This paper proposes a novel conceptual framework that embeds drone-based last-mile delivery within the orchestration architecture of fifth-party logistics (5PL) systems. Leveraging a multi-agent digital twin model, the study integrates technologies such as IoT for real-time tracking, AI-based metaheuristics (ALNS, PSO, NSGA-II) for route and hub optimization, and blockchain for SLA compliance. A simulation case based on India’s rural healthcare supply chain and ONDC clusters demonstrates substantial improvements in delivery time (↓65%), operational cost (↓40%), and carbon footprint (↓90%) over conventional 4PL systems. Sensitivity analyses under weather fluctuations, demand surges, and battery degradation validate the model’s resilience and adaptability. The findings position 5PLs as future-ready orchestrators of autonomous delivery systems and offer actionable insights for policymakers, supply chain managers, and technology developers toward building sustainable and scalable drone logistics ecosystems.The framework emphasizes interoperability and modular deployment, ensuring ease of integration with evolving logistics platforms.", "keywords": [ "Drone", "Last mile (transportation)", "Mile", "City logistics", "Computer science", "Business", "Engineering", "Transport engineering", "Geography" ], "cited_by_openalex": 7, "cited_by_scopus": 0, "eid": null, "pii": null, "open_access_url": "https://doi.org/10.55121/tdr.v3i1.449", "sources": [ { "db": "openalex", "stream": "UAV", "query_id": "UAV-1" }, { "db": "openalex", "stream": "UAV", "query_id": "UAV-3" } ], "streams": [ "UAV" ], "relevance_signals": [ "UAV" ], "auto_exclude_reason": null, "screening_status": "pending_human_screening", "screened_by": "auto-v1.0.0" }, { "id": "doi:10.3390/s25103087", "doi": "10.3390/s25103087", "title": "Research on Collaborative Delivery Path Planning for Trucks and Drones in Parcel Delivery", "year": 2025, "authors": [ "Ting Ting Fu", "Sheng Li", "Zhiguo Li" ], "first_author": "Ting Ting Fu", "venue": "Sensors", "volume": "25", "pages": null, "type": "article", "language": "en", "abstract": "With the rapid development of e-commerce, the logistics industry faces multiple challenges, including high delivery costs, long delivery times, and a shortage of delivery personnel. Truck-drone collaborative delivery combines the high load capacity of trucks with the flexibility and speed of drones, offering an innovative and practical solution. This paper proposes the Truck-Drone Collaborative Delivery Routing Problem (TDCRPTW) and develops a multi-objective optimization model that minimizes delivery costs and maximizes time reliability under capacity and time window constraints in multi-truck, multi-drone scenarios. To solve the model, an innovative two-stage solution strategy that combines the adaptive k-means++ clustering algorithm with temperature-controlled memory simulated annealing (TCMSA) is proposed. The experimental results demonstrate that the proposed model reduces delivery costs by 10% to 50% and reduces delivery time by 15% to 40%, showcasing the superiority of the truck-drone collaborative delivery model. Moreover, the proposed algorithm demonstrates outstanding performance and reliability across multiple dimensions. Therefore, the proposed approach provides an efficient solution to the truck-drone collaborative delivery problem and offers valuable insights for enhancing the efficiency and reliability of e-commerce logistics systems.", "keywords": [ "Drone", "Truck", "Path (computing)", "Delivery system", "Transport engineering", "Computer science", "Engineering", "Simulation", "Aerospace engineering", "Computer network", "Biomedical engineering" ], "cited_by_openalex": 6, "cited_by_scopus": "7", "eid": "2-s2.0-105006727794", "pii": null, "open_access_url": "https://www.mdpi.com/1424-8220/25/10/3087/pdf?version=1747146885", "sources": [ { "db": "openalex", "stream": "UAV", "query_id": "UAV-1" }, { "db": "openalex", "stream": "UAV", "query_id": "UAV-2" }, { "db": "scopus", "stream": "UAV", "query_id": "UAV-1" }, { "db": "scopus", "stream": "UAV", "query_id": "UAV-2" } ], "streams": [ "UAV" ], "relevance_signals": [ "UAV", "TRUCK" ], "auto_exclude_reason": null, "screening_status": "pending_human_screening", "screened_by": "auto-v1.0.0" }, { "id": "doi:10.1016/j.trpro.2025.03.095", "doi": "10.1016/j.trpro.2025.03.095", "title": "Business Applications of Cargo Drones in the EU", "year": 2025, "authors": [ "Mollalign Yizengaw Mebrat", "Muhammad Waqas Ahmed", "Wim Ectors" ], "first_author": "Mollalign Yizengaw Mebrat", "venue": "Transportation research procedia", "volume": "84", "pages": "448-455", "type": "article", "language": "en", "abstract": "Drones have become ubiquitous in various industries due to their versatility and efficiency in performing various tasks, from agricultural operations to search and rescue missions. This paper explores the use of drones, particularly cargo drones, in revolutionizing logistics and transportation systems. Medium-range cargo drones offer the potential to transform freight transportation by offering independence from traditional infrastructure and potentially reducing environmental impact. However, the integration of UAVs into existing logistical operations faces several challenges, including regulatory hurdles, technological limitations, and public perception issues. Drones can become a viable form of cargo transportation given that the regulatory challenges are addressed and can be efficiently integrated into the existing logistic operations. It would ultimately result in an efficient last-mile delivery option and will revolutionize the logistics industry.", "keywords": [ "Drone", "Business", "Transport engineering", "Aeronautics", "Computer security", "Engineering", "Computer science" ], "cited_by_openalex": 7, "cited_by_scopus": "7", "eid": "2-s2.0-105001484841", "pii": "S2352146525001437", "open_access_url": "https://doi.org/10.1016/j.trpro.2025.03.095", "sources": [ { "db": "openalex", "stream": "UAV", "query_id": "UAV-1" }, { "db": "scopus", "stream": "UAV", "query_id": "UAV-1" } ], "streams": [ "UAV" ], "relevance_signals": [ "UAV" ], "auto_exclude_reason": null, "screening_status": "pending_human_screening", "screened_by": "auto-v1.0.0" }, { "id": "doi:10.20944/preprints202506.1002.v1", "doi": "10.20944/preprints202506.1002.v1", "title": "A Bi-Layer Collaborative Planning Framework for Multi-UAV Delivery Tasks in Multi-Depot Urban Logistics", "year": 2025, "authors": [ "Junfu Wen", "Fei Wang", "Yebo Su" ], "first_author": "Junfu Wen", "venue": "Preprints.org", "volume": null, "pages": null, "type": "preprint", "language": "en", "abstract": "To address the modeling complexity and multi-objective collaborative optimization challenges in multi-depot and multiple Unmanned Aerial Vehicle (UAV) delivery task planning, this paper proposes a bi-layer planning framework, which comprehensively considers resource constraints, multi-depot coordination, and the coupling characteristics of path execution. The upper layer tackles the task assignment problem by formulating a multi-objective optimization model aimed at minimizing economic cost, delivery delay, and the number of UAVs deployed. An Enhanced Non-dominated Sorting Genetic Algorithm II (ENSGA-II) is developed, incorporating heuristic initialization, goal-oriented search operators, an adaptive mutation mechanism, and a staged evolution control strategy to improve solution feasibility and distribution quality. The lower layer addresses the path planning problem by establishing a multi-objective model that considers path length, flight risk, and altitude variation. An improved Particle Swarm Optimization (PSO) algorithm is proposed by integrating chaotic initialization, linearly adjusted acceleration coefficients and maximum velocity, a stochastic disturbance-based position update mechanism, and an adaptively tuned inertia weight to enhance algorithmic performance and path generation quality. Simulation results under typical task scenarios demonstrate that the proposed model achieves an average reduction of 47.8% in economic cost and 71.4% in UAV deployment quantity, while significantly reducing delivery window violations. The framework exhibits excellent capability in multi-objective collaborative optimization. The ENSGA-II algorithm outperforms baseline algorithms significantly across performance metrics, achieving a hypervolume (HV) value of 1.0771 (improving by 72.35% to 109.82%) and an average Inverted Generational Distance (IGD) of 0.0295, markedly better than those of comparison algorithms (ranging from 0.0893 to 0.2714). The algorithm also demonstrates overwhelming superiority in the C-metric, indicating outstanding global optimization capability in terms of distribution, convergence, and diversity of the solution set. Moreover, the proposed framework and algorithm are both effective and feasible, offering a novel approach to low-altitude urban logistics delivery problems.", "keywords": [ "Depot", "Layer (electronics)", "Computer science", "Process management", "Transport engineering", "Business", "Engineering", "Geography", "Materials science", "Nanotechnology" ], "cited_by_openalex": 7, "cited_by_scopus": 0, "eid": null, "pii": null, "open_access_url": "https://doi.org/10.20944/preprints202506.1002.v1", "sources": [ { "db": "openalex", "stream": "UAV", "query_id": "UAV-1" } ], "streams": [ "UAV" ], "relevance_signals": [ "UAV" ], "auto_exclude_reason": null, "screening_status": "pending_human_screening", "screened_by": "auto-v1.0.0" }, { "id": "doi:10.1109/tase.2025.3575171", "doi": "10.1109/tase.2025.3575171", "title": "Two-Echelon Arc Routing Problem With Drones in Traffic Patrol", "year": 2025, "authors": [ "Jiaqi Cheng", "Tianjun Liao", "Guohua Wu", "Zhongqiang Ma", "Jianmai Shi" ], "first_author": "Jiaqi Cheng", "venue": "IEEE Transactions on Automation Science and Engineering", "volume": "22", "pages": "17170-17188", "type": "article", "language": "en", "abstract": "Traditional patrolling methods relying on ground vehicles or fixed cameras are insufficient in adapting to dynamic changes in traffic flow due to their limited mobility and fixed positions, especially during emergencies like traffic accidents occur. In this paper, we investigate a new Truck-Drone collaborative Traffic Patrolling (TDTP) mode, where multiple trucks and drones work in a collaborative manner to enhance the efficiency of performing traffic patrolling tasks. The drone can be launched and recovered by trucks at certain points along the truck route, making it possible for both trucks and drones to perform patrol tasks simultaneously. A crucial aspect of TDTP is the coordinated arc routing scheduling of multiple trucks and drones, which is referred to as the Truck-Drone Arc Routing Problem (TD-ARP). We formulate the TD-ARP as a mixed-integer linear programming model with the objective of minimizing the total patrol time of all trucks and drones. Due to the difficulty of solving large instances of TD-ARP to optimality, we construct a divide and conquer based framework TA-TDAR (Task Allocation phase and Truck Drone fleet Arc Routing phase) for TD-ARP. TA involves the assignment of tasks to different truck-drone fleets, each comprising a truck and multiple drones, while TDAR focuses on path planning for the truck-drone fleets. Two phases are iteratively performed until the stopping criteria are met. In TA phase, a Task Allocation Heuristic method (TAH) is designed. Based on the task allocation results, an Adaptive Large Neighborhood Search algorithm with Local Search (ALNSLS) is embedded into TDAR phase to achieve a satisfactory scheduling scheme of each truck-drone fleet. Extensive experiments are conducted to validate the superiority of the proposed TAH-ALNSLS. The results show that our method has a potential improvement of up to 40% compared to the comparison methods, which stems from the divide and conquer framework and problem specific operators. Furthermore, several management implications are provided to assist practitioners in making efficient decisions.", "keywords": [ "Arc routing", "Drone", "Routing (electronic design automation)", "Computer science", "Arc (geometry)", "Engineering", "Transport engineering", "Operations research", "Computer network" ], "cited_by_openalex": 7, "cited_by_scopus": "7", "eid": "2-s2.0-105007307217", "pii": null, "open_access_url": "https://doi.org/10.1109/tase.2025.3575171", "sources": [ { "db": "openalex", "stream": "UAV", "query_id": "UAV-2" }, { "db": "scopus", "stream": "UAV", "query_id": "UAV-2" } ], "streams": [ "UAV" ], "relevance_signals": [ "UAV_NO_CTX", "TRUCK_NO_CTX" ], "auto_exclude_reason": "EC-4-topic", "screening_status": "auto_excluded", "screened_by": "auto-v1.0.0" }, { "id": "doi:10.1016/j.cie.2025.111087", "doi": "10.1016/j.cie.2025.111087", "title": "An efficient matheuristic integration with benders decomposition for unmanned aerial vehicle routing problem in forest fire surveillance", "year": 2025, "authors": [ "Mir Ehsan Hesam Sadati" ], "first_author": "Mir Ehsan Hesam Sadati", "venue": "Computers & Industrial Engineering", "volume": "204", "pages": null, "type": "article", "language": "en", "abstract": null, "keywords": [ "Vehicle routing problem", "Benders' decomposition", "Decomposition", "Routing (electronic design automation)", "Environmental science", "Computer science", "Mathematical optimization", "Mathematics", "Biology", "Ecology", "Computer network" ], "cited_by_openalex": 7, "cited_by_scopus": "7", "eid": "2-s2.0-105003221463", "pii": "S0360835225002335", "open_access_url": "https://doi.org/10.1016/j.cie.2025.111087", "sources": [ { "db": "openalex", "stream": "UAV", "query_id": "UAV-2" }, { "db": "scopus", "stream": "UAV", "query_id": "UAV-2" } ], "streams": [ "UAV" ], "relevance_signals": [ "UAV_NO_CTX" ], "auto_exclude_reason": "EC-4-topic", "screening_status": "auto_excluded", "screened_by": "auto-v1.0.0" }, { "id": "doi:10.3390/drones9090664", "doi": "10.3390/drones9090664", "title": "Advanced Drone Routing and Scheduling for Emergency Medical Supply Chains in Essex", "year": 2025, "authors": [ "Shabnam Sadeghi Esfahlani", "Sarinova Simandjuntak", "Alireza Sanaei", "Alex Fraess-Ehrfeld" ], "first_author": "Shabnam Sadeghi Esfahlani", "venue": "Drones", "volume": "9", "pages": null, "type": "article", "language": "en", "abstract": "Rapid access to defibrillators, blood products, and time-critical medicines can improve survival, yet urban congestion and fragmented infrastructure delay deliveries. We present and evaluate an end-to-end framework for beyond-visual-line-of-sight (BVLOS) UAV logistics in Essex (UK), integrating (I) strategic depot placement, (II) a hybrid obstacle-aware route planner, and (III) a time-window-aware (TWA) Mixed-Integer Linear Programming (MILP) scheduler coupled to a battery/temperature feasibility model. Four global planners—Ant Colony Optimisation (ACO), Genetic Algorithm (GA), Particle Swarm Optimisation (PSO), and Rapidly Exploring Random Tree* (RRT*)—are paired with lightweight local refiners, Simulated Annealing (SA) and Adaptive Large-Neighbourhood Search (ALNS). Benchmarks over 12 destinations used real Civil Aviation Authority no-fly zones and energy constraints. RRT*-based hybrids delivered the shortest mean paths: RRT* + SA and RRT* + ALNS tied for the best average length, while RRT* + SA also achieved the co-lowest runtime at v=60kmh−1. The TWA-MILP reached proven optimality in 0.11 s, showing that a minimum of seven UAVs are required to satisfy all 20–30 min delivery windows in a single wave; a rolling demand of one request every 15 min can be sustained with three UAVs if each sortie (including service/recharge) completes within 45 min. To validate against a state-of-the-art operations-research baseline, we also implemented a Vehicle Routing Problem with Time Windows (VRPTW) in Google OR-Tools, confirming that our hybrid planners generate competitive or shorter NFZ-aware routes in complex corridors. Digital-twin validation in AirborneSIM confirmed CAP 722-compliant, flyable trajectories under wind and sensor noise. By hybridising a fast, probabilistically complete sampler (RRT*) with a sub-second refiner (SA/ALNS) and embedding energy-aware scheduling, the framework offers an actionable blueprint for emergency medical UAV networks.", "keywords": [ "Scheduling (production processes)", "Simulated annealing", "Drone", "Vehicle routing problem", "Particle swarm optimization", "Swarm behaviour", "Embedding" ], "cited_by_openalex": 8, "cited_by_scopus": "7", "eid": "2-s2.0-105017432268", "pii": null, "open_access_url": "https://doi.org/10.3390/drones9090664", "sources": [ { "db": "openalex", "stream": "UAV", "query_id": "UAV-2" }, { "db": "scopus", "stream": "UAV", "query_id": "UAV-2" } ], "streams": [ "UAV" ], "relevance_signals": [ "UAV_NO_CTX" ], "auto_exclude_reason": "EC-4-topic", "screening_status": "auto_excluded", "screened_by": "auto-v1.0.0" }, { "id": "doi:10.1080/15568318.2025.2493138", "doi": "10.1080/15568318.2025.2493138", "title": "Route optimization of green truck-drone collaborative delivery with multiple drops considering demand distribution", "year": 2025, "authors": [ "Lan Zhu", "Ting Wang", "Xiao Ma", "Yang Lu", "Xuming Lou" ], "first_author": "Lan Zhu", "venue": "International Journal of Sustainable Transportation", "volume": "19", "pages": "854-862", "type": "article", "language": "en", "abstract": "In recent years, drones have been used to assist delivering small goods as a solution to traffic jams and air pollutions to serve the purpose of effective and sustainable delivery. Thus, a green truck-drone collaborative delivery routing problem with multiple drops is studied in this paper. A multi-objective truck-drone route planning model considering carbon emissions and traveling time is developed. Compared to most of the existing research in which drones can deliver only one node per trip, this study extends the model to a more complicated realistic situation that drones deliver multiple drops per trip. A NSGA-II algorithm is designed to address the above-described problem. Then, cases with clustered, semi-clustered and randomly distributed customers are analyzed to find out the influence of customer distribution characteristics on the environmental performance and time efficiency. As numerical experiment results show, the improved collaborative delivery model significantly reduces carbon emissions and improves delivery efficiency, especially when customers are randomly distributed or semi-clustered. Finally, the optimal traveling speed range is obtained through the speed sensitivity analysis, which provide a sustainable decision-making basis for daily operations.", "keywords": [ "Drone", "Truck", "Transport engineering", "Distribution (mathematics)", "On demand", "Computer science", "Engineering", "Aerospace engineering", "Multimedia", "Mathematics" ], "cited_by_openalex": 5, "cited_by_scopus": "7", "eid": "2-s2.0-105003876592", "pii": null, "open_access_url": "https://doi.org/10.1080/15568318.2025.2493138", "sources": [ { "db": "openalex", "stream": "UAV", "query_id": "UAV-2" }, { "db": "scopus", "stream": "UAV", "query_id": "UAV-2" } ], "streams": [ "UAV" ], "relevance_signals": [ "UAV_NO_CTX", "TRUCK_NO_CTX" ], "auto_exclude_reason": "EC-4-topic", "screening_status": "auto_excluded", "screened_by": "auto-v1.0.0" }, { "id": "doi:10.1109/icc52391.2025.11161267", "doi": "10.1109/icc52391.2025.11161267", "title": "UAV Aided Smart Agriculture Networks: A Multi-Agent Reinforcement Learning Approach", "year": 2025, "authors": [ "Guojun Xiong", "Jianlin Guo", "Kieran Parsons", "Yukimasa Nagai", "Takenori Sumi", "Philip Orlik", "Jian Li" ], "first_author": "Guojun Xiong", "venue": "IEEE International Conference on Communications", "volume": null, "pages": "3075-3081", "type": "conference-paper", "language": "en", "abstract": "This paper explores the transformative potential of the IoT paradigm in promoting smart agriculture. Key challenges lie in how to connect agriculture sensors to remote cloud servers in the absence of feasible communication infrastructure and the unreliable wireless links in rural areas. To address these issues, we propose an innovative two-tier smart agriculture architecture: an Unmanned Aerial Vehicle (UAV) aided agriculture network model, which leverages UAVs as intermediaries to collect and route data from agriculture sensors to cloud servers. This novel architecture leads to two particular problems, i.e., data packet scheduling in the first-tier networks and multi-hop routing in the second-tier UAV mesh network. To that end, we present formal Markov decision process (MDP) based problem formulations for both tiers, with a primary focus on the more challenging multi-hop routing problem in the second-tier network. This problem is approached as a multi-agent reinforcement learning (MARL) framework, for which we introduce a novel distributed algorithm - Focus Coordination: attention-guided Multi-Agent Deep Deterministic Policy Gradient (FC-MADDPG). This algorithm reduces communication overhead and mitigates the risks associated with single-node failures. We evaluated the performance of the proposed FC-MADDPG algorithm, demonstrating its efficacy in enhancing data transmission reliability and efficiency.", "keywords": [ "Reinforcement learning", "Cloud computing", "Markov decision process", "Scheduling (production processes)", "Server", "Overhead (engineering)", "Reliability (semiconductor)", "Key (lock)" ], "cited_by_openalex": 6, "cited_by_scopus": "7", "eid": "2-s2.0-105018473305", "pii": null, "open_access_url": "https://doi.org/10.1109/icc52391.2025.11161267", "sources": [ { "db": "openalex", "stream": "UAV", "query_id": "UAV-2" }, { "db": "scopus", "stream": "UAV", "query_id": "UAV-2" } ], "streams": [ "UAV" ], "relevance_signals": [ "UAV_NO_CTX" ], "auto_exclude_reason": "EC-4-topic", "screening_status": "auto_excluded", "screened_by": "auto-v1.0.0" }, { "id": "doi:10.1109/jiot.2025.3595102", "doi": "10.1109/jiot.2025.3595102", "title": "ccDNCA: A Dual-Neighborhood Search-Based Dual-Population Coevolutionary Algorithm for Multi-UAV Task Allocation Problems With Complex Constraints", "year": 2025, "authors": [ "Xi Chen", "Zipeng Zhao", "Yu Wan", "Jingtao Qi", "Yirun Ruan", "Xin Biao Lu", "Jun Tang" ], "first_author": "Xi Chen", "venue": "IEEE Internet of Things Journal", "volume": "12", "pages": "43143-43165", "type": "article", "language": "en", "abstract": "Solving the multi-UAV task allocation problem with complex constraints (MTAPCc) by means of the constrained multi-objective evolutionary algorithms (cMOEAs) is novel research in the field of Operation Research. Its advantages mainly consist of two aspects. One is that it can find feasible solutions that satisfy the constraints within an acceptable time. The other is that the obtained Pareto solution set can offer more options for decision-makers. This paper presents a dualneighborhood search based dual-population coevolutionary algorithm (ccDNCA), which can specifically solve the constrained multi-objective combinatorial optimization problems (cMCOPs) based on permutation encoding, including the MTAPCc. The dual-population coevolutionary framework and the multistrategy collaborative constraint handling method of ccDNCA can effectively improve the efficiency of constraint handling and the ability of finding better solutions. The dual-neighborhood alternating local search (DN-ALS) framework can effectively increase the proportion of feasible solutions during the evolution and enhance the quality of the final solution set. The strategy pool integrated with multiple local search strategies can push the search towards regions with better objective values and constraint values, while enhancing the generalization ability of ccDNCA. In the experimental part, by comprehensively comparing the solution results of ccDNCA with those of other advanced algorithms, it is demonstrated that ccDNCA has significant superiority when dealing with cMCOPs based on permutation encoding, such as the MTAPCc and the Vehicle Routing Problem with Time Window constraints (VRPTW).", "keywords": [ "Dual (grammatical number)", "Computer science", "Task (project management)", "Population", "Mathematical optimization", "Algorithm", "Artificial intelligence", "Mathematics" ], "cited_by_openalex": 7, "cited_by_scopus": "7", "eid": "2-s2.0-105012584880", "pii": null, "open_access_url": "https://doi.org/10.1109/jiot.2025.3595102", "sources": [ { "db": "openalex", "stream": "UAV", "query_id": "UAV-2" }, { "db": "scopus", "stream": "UAV", "query_id": "UAV-2" } ], "streams": [ "UAV" ], "relevance_signals": [ "UAV_NO_CTX" ], "auto_exclude_reason": "EC-4-topic", "screening_status": "auto_excluded", "screened_by": "auto-v1.0.0" }, { "id": "doi:10.1016/j.ejor.2025.02.032", "doi": "10.1016/j.ejor.2025.02.032", "title": "Cyclic stochastic two-echelon inventory routing for an application in medical supply", "year": 2025, "authors": [ "Alexander Rave", "Pirmin Fontaine", "Heinrich C. Kuhn" ], "first_author": "Alexander Rave", "venue": "European Journal of Operational Research", "volume": "325", "pages": "81-99", "type": "article", "language": "en", "abstract": "Drug availability in clinics is essential for patient services, whose demand for medication is uncertain. Thus, clinics must have a variety of drugs available, leading to high inventory holding costs. In Germany, it is common for a larger central clinic to take over the procurement of drugs and distribute them to smaller surrounding clinics, which results in a two-echelon network structure. The clinics, however, operate according to their inventory policy as they plan independently. Additionally, the inventory policies include instant replenishment orders to avoid shortages, which can be executed by various vehicles, such as vans or aerial drones, because the orders only involve a few medications. We present a two-stage stochastic program for a multi-product two-echelon inventory routing problem with stochastic demands. We decide on the cost-optimal cyclic delivery patterns and reorder points for the clinics with instant replenishment orders as recourse decision. Further, we introduce an adaptive large neighborhood search with problem-specific operators that modify the routing, delivery periods, and reorder points. We present a case study at a large German clinic that supplies multiple surrounding clinics and plans to integrate drone instead of van deliveries for emergency resupply. Our integrated approach leads to cost savings of 57% for the surrounding clinics and 18% for the central clinic. Using drone delivery compared to van delivery, the average stock of medication at surrounding clinics can be reduced, resulting in a total cost decrease of 29% while maintaining medication availability. • Deciding on the cost-optimal delivery days, routing, and reorder points for clinic supply. • Introducing a two-stage stochastic program that includes emergency resupply as a recourse decision. • Developing an ALNS that executes an algorithm for determining reorder points in each iteration. • Presenting a novel case study that leads to multiple managerial insights.", "keywords": [ "Vehicle routing problem", "Routing (electronic design automation)", "Computer science", "Supply chain", "Operations research", "Business", "Operations management", "Mathematical optimization", "Economics", "Mathematics", "Computer network", "Marketing" ], "cited_by_openalex": 4, "cited_by_scopus": "7", "eid": "2-s2.0-105003542320", "pii": "S0377221725001559", "open_access_url": "https://doi.org/10.1016/j.ejor.2025.02.032", "sources": [ { "db": "openalex", "stream": "UAV", "query_id": "UAV-2" }, { "db": "scopus", "stream": "UAV", "query_id": "UAV-2" } ], "streams": [ "UAV" ], "relevance_signals": [ "UAV_NO_CTX" ], "auto_exclude_reason": "EC-4-topic", "screening_status": "auto_excluded", "screened_by": "auto-v1.0.0" }, { "id": "doi:10.2514/6.2025-0346", "doi": "10.2514/6.2025-0346", "title": "Vision-Based Distributed Sensing at Vertiports for Advanced Air Mobility and Urban Air Mobility Approach and Landing", "year": 2025, "authors": [ "Evan Kawamura", "Keerthana Kannan", "Thomas Lombaerts", "Vahram Stepanyan", "Chester V. Dolph", "Nelson Brown", "Corey A. Ippolito" ], "first_author": "Evan Kawamura", "venue": "AIAA Science and Technology Forum and Exposition AIAA Scitech Forum 2025", "volume": null, "pages": null, "type": "conference-paper", "language": "en", "abstract": "Advanced Air Mobility (AAM) encompasses a broad vision for air transportation, including Urban Air Mobility (UAM) as a subset. AAM aims to create a more connected and efficient transportation network across various geographical settings. However, navigating AAM aircraft in GPS-denied or degraded environments during approach and landing is challenging. Traditional vision aids like glideslopes and localizers are limited in vertiport environments due to narrow beam constraints and reduced landing angle options. This paper addresses the need for accurate navigation solutions at vertiports by proposing a vision-based distributed sensing (VIDIS) system utilizing cameras with bundle adjustment to assist incoming AAM aircraft during approach and landing while monitoring surface movements to enhance safety and efficiency. Key focus areas for current and future vertiport developers include identifying suitable sensor types and infrastructure standards to support AAM operations and including vertiport markings as vision-based navigation aids. The proposed system offers a novel approach to overcoming navigation challenges in AAM operations, particularly in urban settings where traditional aids may be insufficient. Preliminary simulation results with distributed cameras demonstrate promising outcomes for implementing bundle adjustment techniques to enhance vision-based navigation solutions at vertiports. Generating waypoint-based trajectories via waypoint integration using explicit guidance synthesis (WINGS) creates smooth AAM trajectories for landing at vertiports by using the current waypoint's terminal conditions as the initial conditions for the next waypoint. Combining bundle adjustment's ground-based solution of vertiport features with WINGS, Coplanar Pose from Orthography and Scaling with Iterations (COPOSIT), and an extended Kalman filter (EKF) estimates the state of an incoming aircraft during approach and landing at vertiports. Future work includes testing VIDIS in a high-fidelity simulation and with real-world data.", "keywords": [ "Computer science", "Environmental science" ], "cited_by_openalex": 6, "cited_by_scopus": "7", "eid": "2-s2.0-85219581012", "pii": null, "open_access_url": "https://doi.org/10.2514/6.2025-0346", "sources": [ { "db": "openalex", "stream": "UAV", "query_id": "UAV-3" }, { "db": "scopus", "stream": "UAV", "query_id": "UAV-3" } ], "streams": [ "UAV" ], "relevance_signals": [ "UAV_NO_CTX" ], "auto_exclude_reason": "EC-4-topic", "screening_status": "auto_excluded", "screened_by": "auto-v1.0.0" }, { "id": "doi:10.1016/j.trd.2025.105086", "doi": "10.1016/j.trd.2025.105086", "title": "Drone adoption for sustainable urban food delivery: economic and environmental benefits", "year": 2025, "authors": [ "Chandresh Kumbhani", "Ravi Kant", "Ravi Shankar" ], "first_author": "Chandresh Kumbhani", "venue": "Transportation Research Part D Transport and Environment", "volume": "150", "pages": null, "type": "article", "language": "en", "abstract": null, "keywords": [ "Drone", "Sustainability", "Sustainable development", "Economic impact analysis", "Environmental impact assessment", "Climate change" ], "cited_by_openalex": 7, "cited_by_scopus": "7", "eid": "2-s2.0-105021864341", "pii": "S1361920925004961", "open_access_url": "https://doi.org/10.1016/j.trd.2025.105086", "sources": [ { "db": "openalex", "stream": "UAV", "query_id": "UAV-3" }, { "db": "scopus", "stream": "UAV", "query_id": "UAV-1" }, { "db": "scopus", "stream": "UAV", "query_id": "UAV-3" } ], "streams": [ "UAV" ], "relevance_signals": [ "UAV_NO_CTX" ], "auto_exclude_reason": "EC-4-topic", "screening_status": "auto_excluded", "screened_by": "auto-v1.0.0" }, { "id": "doi:10.1016/j.buildenv.2025.113509", "doi": "10.1016/j.buildenv.2025.113509", "title": "Wind tunnel study of Parapet effects on rooftop wind environment with implications for safe urban-air-mobility operations", "year": 2025, "authors": [ "Chao Lin", "Ryozo Ooka", "Yoshiaki Takakuwa", "Hideki Kikumoto" ], "first_author": "Chao Lin", "venue": "Building and Environment", "volume": "284", "pages": null, "type": "article", "language": "en", "abstract": "This study investigates the parapet influence on rooftop wind conditions of an isolated building towards safe Urban-Air-Mobility operations. High-resolution particle image velocimetry (PIV) measurements are conducted in a wind tunnel to capture the near-roof flow fields around an isolated building model. Two parapet heights (0.05 and 0.1 times the building height H ) are tested under three wind directions (0-, 22.5-, and 45-degree). Velocity fields are analyzed in two horizontal planes: z / H = 1.05 and z / H = 1.15. Results show that parapets of both heights significantly reduce the roof-averaged wind speed, with reductions ranging from 60% to 77% at z / H = 1.05 and from 10% to 55% at z / H = 1.15, demonstrating their robust effectiveness across various wind directions. The 0.05 H parapet provides comparable wind speed reduction to the 0.1 H parapet at z / H = 1.05, but the 0.1 H parapet is more effective at z / H = 1.15. Parapets also reduce the roof-averaged wind-speed standard-deviation ws SD by 29%-50% at z / H = 1.05 but conversely increase ws SD by 47%-82% at z / H = 1.15. Compared to the 0.05 H parapet, the 0.1 H parapet achieves greater reductions in roof-averaged ws SD at z / H = 1.05 and increases lower roof-averaged ws SD at z / H = 1.15. The gust factor exceeds 2.1 in recirculation zones without parapets. Parapets generally reduce the gust factor in the roof center but cause local increases near the parapet edges, where values reach approximately 3.0. These findings suggest that taller parapets are preferable to provide low wind-speed and low wind-fluctuation conditions for safe vertiport design.", "keywords": [ "Environmental science", "Wind tunnel", "Meteorology", "Marine engineering", "Civil engineering", "Engineering", "Aerospace engineering", "Geography" ], "cited_by_openalex": 8, "cited_by_scopus": "7", "eid": "2-s2.0-105012385505", "pii": "S0360132325009825", "open_access_url": "https://doi.org/10.1016/j.buildenv.2025.113509", "sources": [ { "db": "openalex", "stream": "UAV", "query_id": "UAV-3" }, { "db": "scopus", "stream": "UAV", "query_id": "UAV-3" } ], "streams": [ "UAV" ], "relevance_signals": [ "UAV_NO_CTX" ], "auto_exclude_reason": "EC-4-topic", "screening_status": "auto_excluded", "screened_by": "auto-v1.0.0" }, { "id": "doi:10.3390/drones9100692", "doi": "10.3390/drones9100692", "title": "Mapping the Integration of Urban Air Mobility into the Built Environment: A Bibliometric Analysis and a Scoping Review", "year": 2025, "authors": [ "Ludovica Maria Campagna", "Francesco Carlucci", "Francesco Fiorito", "Erika Rosella Marinelli", "Michele Ottomanelli", "Mario Marinelli" ], "first_author": "Ludovica Maria Campagna", "venue": "Drones", "volume": "9", "pages": null, "type": "article", "language": "en", "abstract": "Urban Air Mobility (UAM) has the potential to revolutionize urban transportation, largely with the deployment of Unmanned Aerial Vehicles (UAVs), commonly known as drones. After an initial stage focused on technology requirements, research is now shifting toward investigating operational requirements, which are unavoidably affected by urban characteristics. This study aims to explore the implementation of UAM services within urban environments by mapping the current scientific landscape from a city-focused perspective. Following a systematic search procedure, a bibliometric analysis was conducted on studies published between 2010 and 2024, examining over 350 articles that address UAM and urban-related topics. Trends in publication volume and scientific impact were analysed, along with influential manuscripts, collaborations, and leading countries in the field. Through a keyword co-occurrence analysis, five main research themes were identified: air traffic management, risk assessment, environmental factors (wind and noise), and vertiport location. These themes were further explored through a scoping review to assess current research and emerging directions. The findings highlight that urban characteristics are not just operational constraints but also fundamental elements that shape UAM strategies, influencing UAV path planning, safety, environmental constraints, and infrastructure design. Future research directions include the development of urban digital twins, comprehensive urban spatial databases, and multi-objective optimization frameworks to support the effective implementation of UAM into cities.", "keywords": [ "Software deployment", "Urban planning", "Urban studies", "Scientific literature", "Digital mapping", "Geographic information system", "Landscape assessment", "Urban landscape" ], "cited_by_openalex": 3, "cited_by_scopus": "7", "eid": "2-s2.0-105020022367", "pii": null, "open_access_url": "https://www.mdpi.com/2504-446X/9/10/692/pdf?version=1760089422", "sources": [ { "db": "openalex", "stream": "UAV", "query_id": "UAV-3" }, { "db": "scopus", "stream": "UAV", "query_id": "UAV-3" } ], "streams": [ "UAV" ], "relevance_signals": [ "UAV" ], "auto_exclude_reason": null, "screening_status": "pending_human_screening", "screened_by": "auto-v1.0.0" }, { "id": "doi:10.1108/aeat-03-2024-0081", "doi": "10.1108/aeat-03-2024-0081", "title": "Integrating urban air mobility into smart cities: a proposal for relevant use cases in the next decades", "year": 2025, "authors": [ "Di Vito V." ], "first_author": "Di Vito V.", "venue": "Aircraft Engineering and Aerospace Technology", "volume": "97", "pages": "2-12", "type": "Article", "language": null, "abstract": null, "keywords": [], "cited_by_openalex": 0, "cited_by_scopus": "7", "eid": "2-s2.0-85203587620", "pii": null, "open_access_url": null, "sources": [ { "db": "scopus", "stream": "UAV", "query_id": "UAV-1" } ], "streams": [ "UAV" ], "relevance_signals": [ "NO_TECHNOLOGY_MATCH" ], "auto_exclude_reason": "EC-4-topic", "screening_status": "auto_excluded", "screened_by": "auto-v1.0.0" }, { "id": "doi:10.3390/machines13090861", "doi": "10.3390/machines13090861", "title": "Dynamic Siting and Coordinated Routing for UAV Inspection via Hierarchical Reinforcement Learning", "year": 2025, "authors": [ "Yang Q." ], "first_author": "Yang Q.", "venue": "Machines", "volume": "13", "pages": null, "type": "Article", "language": null, "abstract": null, "keywords": [], "cited_by_openalex": 0, "cited_by_scopus": "7", "eid": "2-s2.0-105017077507", "pii": null, "open_access_url": null, "sources": [ { "db": "scopus", "stream": "UAV", "query_id": "UAV-2" } ], "streams": [ "UAV" ], "relevance_signals": [ "UAV_NO_CTX" ], "auto_exclude_reason": "EC-4-topic", "screening_status": "auto_excluded", "screened_by": "auto-v1.0.0" }, { "id": "doi:10.3778/j.issn.1002-8331.2410-0289", "doi": "10.3778/j.issn.1002-8331.2410-0289", "title": "Truck-Drone Collaborated Location-Routing Robust Optimization Problem for Flood Emergency Response", "year": 2025, "authors": [ "Gong Y." ], "first_author": "Gong Y.", "venue": "Computer Engineering and Applications", "volume": "61", "pages": "307-321", "type": "Article", "language": null, "abstract": null, "keywords": [], "cited_by_openalex": 0, "cited_by_scopus": "7", "eid": "2-s2.0-105010839611", "pii": null, "open_access_url": null, "sources": [ { "db": "scopus", "stream": "UAV", "query_id": "UAV-2" } ], "streams": [ "UAV" ], "relevance_signals": [ "UAV_NO_CTX", "TRUCK_NO_CTX" ], "auto_exclude_reason": "EC-4-topic", "screening_status": "auto_excluded", "screened_by": "auto-v1.0.0" }, { "id": "doi:10.16381/j.cnki.issn1003-207x.2023.0447", "doi": "10.16381/j.cnki.issn1003-207x.2023.0447", "title": "Vehicle Routing Problems with Time Windows under the Collaborative Delivery Mode of Electric Vehicle-drone", "year": 2025, "authors": [ "Zhang S." ], "first_author": "Zhang S.", "venue": "Chinese Journal of Management Science", "volume": "33", "pages": "131-141", "type": "Article", "language": null, "abstract": null, "keywords": [], "cited_by_openalex": 0, "cited_by_scopus": "7", "eid": "2-s2.0-105048611023", "pii": null, "open_access_url": null, "sources": [ { "db": "scopus", "stream": "UAV", "query_id": "UAV-2" } ], "streams": [ "UAV" ], "relevance_signals": [ "UAV_NO_CTX" ], "auto_exclude_reason": "EC-4-topic", "screening_status": "auto_excluded", "screened_by": "auto-v1.0.0" }, { "id": "doi:10.16381/j.cnki.issn1003-207x.2022.0575", "doi": "10.16381/j.cnki.issn1003-207x.2022.0575", "title": "Location-routing Problem of Fresh Product Distribution in Epidemic Environment", "year": 2025, "authors": [ "Zhang J." ], "first_author": "Zhang J.", "venue": "Chinese Journal of Management Science", "volume": "33", "pages": "196-208", "type": "Article", "language": null, "abstract": null, "keywords": [], "cited_by_openalex": 0, "cited_by_scopus": "7", "eid": "2-s2.0-105048762609", "pii": null, "open_access_url": null, "sources": [ { "db": "scopus", "stream": "UAV", "query_id": "UAV-2" } ], "streams": [ "UAV" ], "relevance_signals": [ "NO_TECHNOLOGY_MATCH" ], "auto_exclude_reason": "EC-4-topic", "screening_status": "auto_excluded", "screened_by": "auto-v1.0.0" }, { "id": "doi:10.1109/taes.2025.3570276", "doi": "10.1109/taes.2025.3570276", "title": "A Hybrid Reactive Routing Protocol for Decentralized UAV Networks", "year": 2025, "authors": [ "Garg S." ], "first_author": "Garg S.", "venue": "IEEE Transactions on Aerospace and Electronic Systems", "volume": "61", "pages": "11683-11701", "type": "Article", "language": null, "abstract": null, "keywords": [], "cited_by_openalex": 0, "cited_by_scopus": "7", "eid": "2-s2.0-105005211616", "pii": null, "open_access_url": null, "sources": [ { "db": "scopus", "stream": "UAV", "query_id": "UAV-2" } ], "streams": [ "UAV" ], "relevance_signals": [ "UAV_NO_CTX" ], "auto_exclude_reason": "EC-4-topic", "screening_status": "auto_excluded", "screened_by": "auto-v1.0.0" }, { "id": "doi:10.1016/j.tre.2025.104427", "doi": "10.1016/j.tre.2025.104427", "title": "Optimizing autonomous multimodal last-mile delivery systems with time windows: Analyzing trade-offs between drones, robots, and trucks", "year": 2025, "authors": [ "Giovanni Campuzano", "Eduardo Lalla‐Ruiz", "Martijn Mes" ], "first_author": "Giovanni Campuzano", "venue": "Transportation Research Part E Logistics and Transportation Review", "volume": "204", "pages": null, "type": "article", "language": "en", "abstract": "This paper studies multi-modal last-mile delivery systems. More specifically, it introduces the Drone-Assisted Vehicle Routing Problem with Robot Stations and Time Windows (VRPD-RS-TW) to face exigent delivery schedules in last-mile logistics. The VRPD-RS-TW applies to highly populated city centers, where due to infrastructural issues, customers might be hard to reach by conventional trucks. This problem is characterized by utilizing three transportation modes: trucks, drones, and robots collaborating to deliver parcels and meet time window requirements. To solve this problem, we develop a Mixed Integer Linear Programming (MILP) formulation, valid inequalities to strengthen the linear relaxation, and a Three-Phased Granular Multi-Start Iterated Local Search (3P-GMS-ILS) metaheuristic algorithm. A computational study on instances of Amsterdam (the Netherlands) demonstrates that the 3P-GMS-ILS outperforms the MILP formulation and state-of-the-art metaheuristic approaches in terms of both objective function values and computational times. Furthermore, we provide insights into the effectiveness of the VRPD-RS-TW, showing that, under various cost scenarios, the combination of trucks, drones, and robots outperforms scenarios with fewer transportation modes. Across the studied cost scenarios, the VRPD-RS-TW simultaneously coordinates a higher volume of delivery operations, with 48.75 % performed by drones and robots, resulting in better objective function values than the related transportation systems. In scenarios where truck routing costs are lower than those of drones and robots, the VRPD-RS-TW still achieves better objective function values compared to the related transportation systems, although the share of drone and robot deliveries drops to 14.78 %. This shows that adding drones is not necessarily beneficial when trucks carry drones, as trucks should wait for drones, which might result in higher costs related to drone routing and drivers’ wages.", "keywords": [ "Iterated local search", "Metaheuristic", "Vehicle routing problem", "Benchmark (surveying)", "Truck", "Integer programming", "Linear programming", "Routing (electronic design automation)" ], "cited_by_openalex": 8, "cited_by_scopus": "6", "eid": "2-s2.0-105017724126", "pii": "S1366554525004685", "open_access_url": "https://doi.org/10.1016/j.tre.2025.104427", "sources": [ { "db": "openalex", "stream": "TRUCK", "query_id": "TRUCK-1" }, { "db": "openalex", "stream": "UAV", "query_id": "UAV-1" }, { "db": "openalex", "stream": "UAV", "query_id": "UAV-2" }, { "db": "scopus", "stream": "TRUCK", "query_id": "TRUCK-1" }, { "db": "scopus", "stream": "UAV", "query_id": "UAV-1" }, { "db": "scopus", "stream": "UAV", "query_id": "UAV-2" } ], "streams": [ "TRUCK", "UAV" ], "relevance_signals": [ "UAV", "TRUCK" ], "auto_exclude_reason": null, "screening_status": "pending_human_screening", "screened_by": "auto-v1.0.0" }, { "id": "doi:10.3390/drones9120868", "doi": "10.3390/drones9120868", "title": "GIS-Enabled Truck–Drone Hybrid Systems for Agricultural Last-Mile Delivery: A Multidisciplinary Review with Insights from a Rural Region", "year": 2025, "authors": [ "Imran Badshah", "Raj Bridgelall", "Emmanuel Anu Thompson" ], "first_author": "Imran Badshah", "venue": "Drones", "volume": "9", "pages": null, "type": "article", "language": "en", "abstract": "Efficient last-mile delivery remains a critical challenge for rural agricultural logistics, globally, particularly in cold-climate regions with dispersed agricultural operations. Truck–drone hybrids can reduce delivery times but face payload limits, cold-weather battery loss, and beyond-visual-line-of-sight regulations. This review evaluates the potential of GIS-enabled truck–drone hybrid systems to overcome infrastructural, environmental, and operational barriers in such settings. This study uses the state of North Dakota (USA) as a representative case because of its cold climate, low density, and weak connectivity. These conditions require different routing and system assumptions than typical regions. The study conducts a systematic review of 81 high-quality publications. It identifies seven interconnected research domains: GIS analytics, truck–drone coordination, smart agriculture integration, rural implementation, sustainability assessment, strategic design, and data security. The findings stipulate that GIS enhances hybrid logistics through route optimization, launch site planning, and real-time monitoring. Additionally, this study emphasizes the rural, low-density context and identifies specific gaps related to cold-weather performance, restrictions to line-of-sight operations, and economic feasibility in ultra-low-density delivery networks. The study concludes with a roadmap for research and policy development to enable practical deployment in cold-climate agricultural regions.", "keywords": [ "Sustainability", "Context (archaeology)", "Agriculture", "Multidisciplinary approach", "Software deployment", "Hybrid system", "Work (physics)" ], "cited_by_openalex": 4, "cited_by_scopus": "6", "eid": "2-s2.0-105025762441", "pii": null, "open_access_url": "https://www.mdpi.com/2504-446X/9/12/868/pdf?version=1765895761", "sources": [ { "db": "openalex", "stream": "TRUCK", "query_id": "TRUCK-1" }, { "db": "openalex", "stream": "UAV", "query_id": "UAV-1" }, { "db": "scopus", "stream": "TRUCK", "query_id": "TRUCK-1" }, { "db": "scopus", "stream": "UAV", "query_id": "UAV-1" } ], "streams": [ "TRUCK", "UAV" ], "relevance_signals": [ "UAV", "TRUCK" ], "auto_exclude_reason": null, "screening_status": "pending_human_screening", "screened_by": "auto-v1.0.0" }, { "id": "doi:10.1155/atr/3995437", "doi": "10.1155/atr/3995437", "title": "The Delivery Time Performance Study of a Novel Collaborative Delivery System Integrating Drones and Ground Public Transit for Urban Last‐Mile Delivery", "year": 2025, "authors": [ "Shaozhi Hong", "Jiayu Zang", "Zeling Wang" ], "first_author": "Shaozhi Hong", "venue": "Journal of Advanced Transportation", "volume": "2025", "pages": null, "type": "article", "language": "en", "abstract": "With the rapid expansion of e‐commerce, effectively managing last‐mile delivery while satisfying consumer demands for timeliness and convenience has become increasingly imperative. Traditional delivery systems, which predominantly depend on human labor and freight vehicles, encounter significant challenges, including traffic congestion, escalating labor expenses, and environmental degradation. The advancements in drone technology present a promising solution for the logistics domain. This study proposes a novel collaborative delivery system that integrates drones with ground public transit, and aims to assess the delivery time performance of this system. Within this system, drones are responsible for direct parcel delivery to customers, while ground public transportation vehicles handle the transportation of drones and parcels between designated stops. The study develops a delivery strategy and establishes an operational framework to attain the delivery time for each customer. Subsequently, this study assesses the delivery time performance of this delivery system by introducing relevant metrics. Numerical experiments conducted across three distinct scenarios validate the proposed methodology, demonstrating the system’s potential in urban last‐mile delivery. The findings indicate that the collaborative delivery system exhibits good performance, especially in multi‐parcel delivery mode compared to single‐parcel delivery mode. Moreover, sensitivity analyses are performed to explore the effects of departure intervals and dwell time and obtain valuable insights on system operations.", "keywords": [ "Mile", "Drone", "Last mile (transportation)", "Public transport", "Transit (satellite)", "Delivery system", "Transport engineering", "Ground transportation", "Transit system", "Food delivery", "Engineering", "Computer science" ], "cited_by_openalex": 5, "cited_by_scopus": "6", "eid": "2-s2.0-105008270324", "pii": null, "open_access_url": "https://onlinelibrary.wiley.com/doi/pdfdirect/10.1155/atr/3995437", "sources": [ { "db": "openalex", "stream": "TRUCK", "query_id": "TRUCK-1" }, { "db": "openalex", "stream": "UAV", "query_id": "UAV-1" }, { "db": "scopus", "stream": "TRUCK", "query_id": "TRUCK-1" }, { "db": "scopus", "stream": "UAV", "query_id": "UAV-1" } ], "streams": [ "TRUCK", "UAV" ], "relevance_signals": [ "UAV", "TRUCK" ], "auto_exclude_reason": null, "screening_status": "pending_human_screening", "screened_by": "auto-v1.0.0" }, { "id": "doi:10.1080/00207543.2025.2536193", "doi": "10.1080/00207543.2025.2536193", "title": "Optimising vertical deliveries with integrated hybrid drone-truck systems", "year": 2025, "authors": [ "Ryan O’Neil", "Abdelhakim Khatab", "Uday Venkatadri", "Claver Diallo", "Nidhal Rezg" ], "first_author": "Ryan O’Neil", "venue": "International Journal of Production Research", "volume": "63", "pages": "9200-9228", "type": "article", "language": "en", "abstract": "Last-mile delivery (LMD) constitutes a significant portion of contemporary distribution networks, accounting for up to 75% of total supply chain costs. Drones offer numerous advantages over conventional delivery systems, including reduced energy consumption, enhanced flexibility, and lower carbon emissions. However, drone delivery faces limitations such as range, payload carrying capacity, battery life, and regulatory hurdles. This paper presents a novel optimisation model for a 3D multi-visit multi-launch integrated hybrid drone–truck delivery system capable of delivering to multiple customers at various altitudes. Drones can launch multiple times from a truck stop and rendezvous with the truck at a subsequent truck stop. A formulation is proposed that incorporates real-time payload, payload-carrying capacity, battery capacity, and energy consumption profiles to determine optimal truck and drone routes. Small-scale instances are solved to optimality using Gurobi, while large-scale instances are addressed through a solution approach integrating a Relax-&-Fix heuristic and column generation. Experiments are conducted to demonstrate the model's key features and emphasise the significance of incorporating multi-drone launches and their energy consumption function into the delivery decision process. Numerical results indicate trade-offs between drone and truck travel time, customer altitude, and drone energy consumption.", "keywords": [ "Drone", "Truck", "Computer science", "Engineering", "Automotive engineering", "Aeronautics", "Operations management" ], "cited_by_openalex": 7, "cited_by_scopus": "6", "eid": "2-s2.0-105011271038", "pii": null, "open_access_url": "https://doi.org/10.1080/00207543.2025.2536193", "sources": [ { "db": "openalex", "stream": "TRUCK", "query_id": "TRUCK-1" }, { "db": "openalex", "stream": "UAV", "query_id": "UAV-1" }, { "db": "scopus", "stream": "TRUCK", "query_id": "TRUCK-1" }, { "db": "scopus", "stream": "UAV", "query_id": "UAV-1" } ], "streams": [ "TRUCK", "UAV" ], "relevance_signals": [ "UAV", "TRUCK" ], "auto_exclude_reason": null, "screening_status": "pending_human_screening", "screened_by": "auto-v1.0.0" }, { "id": "doi:10.1016/j.cie.2025.111624", "doi": "10.1016/j.cie.2025.111624", "title": "Deep reinforcement learning for drone-assisted truck delivery route optimization in a time-dependent network with time windows", "year": 2025, "authors": [ "Yong Peng", "Jing Huang", "Dennis Z. Yu", "Ajinkya N. Tanksale", "Pengfei Gu" ], "first_author": "Yong Peng", "venue": "Computers & Industrial Engineering", "volume": "211", "pages": null, "type": "article", "language": "en", "abstract": null, "keywords": [ "Reinforcement learning", "Truck", "Flexibility (engineering)", "Traffic congestion", "Markov decision process", "Vehicle routing problem", "Routing (electronic design automation)", "Drone", "Variable neighborhood search" ], "cited_by_openalex": 7, "cited_by_scopus": "6", "eid": "2-s2.0-105019382931", "pii": "S0360835225007703", "open_access_url": "https://doi.org/10.1016/j.cie.2025.111624", "sources": [ { "db": "openalex", "stream": "TRUCK", "query_id": "TRUCK-1" }, { "db": "openalex", "stream": "TRUCK", "query_id": "TRUCK-2" }, { "db": "openalex", "stream": "TRUCK", "query_id": "TRUCK-3" }, { "db": "openalex", "stream": "UAV", "query_id": "UAV-1" }, { "db": "openalex", "stream": "UAV", "query_id": "UAV-2" }, { "db": "scopus", "stream": "TRUCK", "query_id": "TRUCK-1" }, { "db": "scopus", "stream": "TRUCK", "query_id": "TRUCK-2" }, { "db": "scopus", "stream": "TRUCK", "query_id": "TRUCK-3" }, { "db": "scopus", "stream": "UAV", "query_id": "UAV-1" }, { "db": "scopus", "stream": "UAV", "query_id": "UAV-2" } ], "streams": [ "TRUCK", "UAV" ], "relevance_signals": [ "UAV_NO_CTX", "TRUCK_NO_CTX" ], "auto_exclude_reason": "EC-4-topic", "screening_status": "auto_excluded", "screened_by": "auto-v1.0.0" }, { "id": "doi:10.1016/j.cie.2025.111061", "doi": "10.1016/j.cie.2025.111061", "title": "Drone-assisted delivery optimization: Balancing time and cost with multiple truck routes for efficient service", "year": 2025, "authors": [ "Shalabh Singh" ], "first_author": "Shalabh Singh", "venue": "Computers & Industrial Engineering", "volume": "203", "pages": null, "type": "article", "language": "en", "abstract": null, "keywords": [ "Truck", "Drone", "Service (business)", "Computer science", "Operations research", "Engineering", "Transport engineering", "Operations management", "Business", "Automotive engineering", "Marketing" ], "cited_by_openalex": 5, "cited_by_scopus": "6", "eid": "2-s2.0-105000894138", "pii": "S0360835225002074", "open_access_url": "https://doi.org/10.1016/j.cie.2025.111061", "sources": [ { "db": "openalex", "stream": "TRUCK", "query_id": "TRUCK-1" }, { "db": "openalex", "stream": "UAV", "query_id": "UAV-1" }, { "db": "scopus", "stream": "TRUCK", "query_id": "TRUCK-1" }, { "db": "scopus", "stream": "UAV", "query_id": "UAV-1" } ], "streams": [ "TRUCK", "UAV" ], "relevance_signals": [ "UAV_NO_CTX", "TRUCK_NO_CTX" ], "auto_exclude_reason": "EC-4-topic", "screening_status": "auto_excluded", "screened_by": "auto-v1.0.0" }, { "id": "doi:10.1038/s41598-025-29861-y", "doi": "10.1038/s41598-025-29861-y", "title": "Optimizing urban last mile delivery efficiency through dynamic vehicle routing heuristics and traffic flow analysis", "year": 2025, "authors": [ "Lu Liu", "Tianxia Wang" ], "first_author": "Lu Liu", "venue": "Scientific Reports", "volume": "16", "pages": null, "type": "article", "language": "en", "abstract": "Urban last-mile delivery systems operate under volatile traffic conditions, narrow delivery windows, and frequent real-time disruptions that limit the effectiveness of static and single-strategy vehicle routing approaches. Existing dynamic and traffic-aware VRP models address these challenges only partially, lacking unified mechanisms for adaptive search, congestion-sensitive cost evaluation, and proactive disruption management. This research introduces a Tabu-guided Adaptive Large Neighborhood Search with Rollout-based Real-Time Dispatch (T-ALNS-RRD), a traffic-aware optimization framework that integrates three previously uncombines components: (a) an ALNS core enhanced with dynamic congestion-penalized cost functions, (b) a multi-layered Tabu memory system with move-based, solution-based, and frequency-based diversification for non-cycling exploration, and (c) a rollout-based dispatch mechanism that conducts bounded-horizon simulations to pre-emptively select disruption responses. Experimental evaluation on a realistic urban delivery scenario involving 47 customers and 4 vehicles demonstrates significant performance advances over static and traffic-aware baselines. T-ALNS-RRD achieves a 24.3% reduction in total operational cost, increases on-time delivery rates from 68.1% to 92.8%, and reduces congestion exposure by 54.4%. Under extreme traffic variability, the method limits degradation to 15.1%, compared to 26.2% in static systems. Real-time adaptation enables the successful handling of 27.4 disruptive events per scenario with a 94.2% resolution rate and an average response time of 143.7 ms. Statistical comparison against state-of-the-art (SOTA) metaheuristics confirms a performance improvement of 6.6% (p < 0.001) under the tested conditions. These findings establish the approach as a validated mid-scale framework for dynamic urban delivery optimization and provide a scalable methodological basis for future large-instance deployments.", "keywords": [ "Vehicle routing problem", "Scalability", "Heuristics", "Metaheuristic", "Traffic congestion", "Tabu search", "Routing (electronic design automation)", "Resilience (materials science)" ], "cited_by_openalex": 4, "cited_by_scopus": "6", "eid": "2-s2.0-105026904608", "pii": null, "open_access_url": "https://www.nature.com/articles/s41598-025-29861-y_reference.pdf", "sources": [ { "db": "openalex", "stream": "TRUCK", "query_id": "TRUCK-2" }, { "db": "scopus", "stream": "TRUCK", "query_id": "TRUCK-2" } ], "streams": [ "TRUCK" ], "relevance_signals": [ "NO_TECHNOLOGY_MATCH" ], "auto_exclude_reason": "EC-4-topic", "screening_status": "auto_excluded", "screened_by": "auto-v1.0.0" }, { "id": "doi:10.3390/su17198693", "doi": "10.3390/su17198693", "title": "Medium- and Heavy-Duty Electric Truck Charging Assessment to 2035 in California: Projections and Practical Challenges", "year": 2025, "authors": [ "Hong Yang", "Marshall R. Miller", "Lewis M. Fulton", "Aravind Kailas" ], "first_author": "Hong Yang", "venue": "Sustainability", "volume": "17", "pages": null, "type": "article", "language": "en", "abstract": "As of mid-2025, California maintains a target (and legal agreement with truck OEMs) to achieve 100% zero-emission medium- and heavy-duty (M/HD) truck sales by 2036. While the US federal government has relaxed its targets, fuel economy standards continue to incentivize electrification. To meet these ambitions, the adequate rollout of charging infrastructure at scale is needed. This paper reviews existing studies on M/HD charging and investment needs in California and the U.S. This paper introduces a novel matrix that delineates charging needs by charging power, truck type (Class 2b-8), charger-to-vehicle ratios, and charger investment costs. Results indicate that California may require 151,000 to 156,000 depot and public chargers on the road by 2030, growing to 434,000 to 460,000 chargers on the road by 2035. Corresponding investment—including new installation and replacement—could reach USD 7.1 to USD 7.4 billion by 2030 and USD 16.4 to USD 17.8 billion by 2035. Meeting this scale of infrastructure deployment represents not only a technical challenge but also a sustainability imperative, demanding unprecedented coordination among policymakers, utilities, and fleet operators to overcome barriers like financing and permitting and to ensure infrastructure growth aligns with climate commitments and equitable access.", "keywords": [ "Truck", "Software deployment", "Investment (military)", "Government (linguistics)", "Sustainability" ], "cited_by_openalex": 4, "cited_by_scopus": "6", "eid": "2-s2.0-105018949345", "pii": null, "open_access_url": "https://www.mdpi.com/2071-1050/17/19/8693/pdf?version=1758898579", "sources": [ { "db": "openalex", "stream": "TRUCK", "query_id": "TRUCK-3" }, { "db": "scopus", "stream": "TRUCK", "query_id": "TRUCK-3" } ], "streams": [ "TRUCK" ], "relevance_signals": [ "TRUCK_NO_CTX" ], "auto_exclude_reason": "EC-4-topic", "screening_status": "auto_excluded", "screened_by": "auto-v1.0.0" }, { "id": "doi:10.3390/jmse13081424", "doi": "10.3390/jmse13081424", "title": "From Efficiency to Safety: A Simulation-Based Framework for Evaluating Empty-Container Terminal Layouts", "year": 2025, "authors": [ "Cristóbal Vera-Carrasco", "Cristian D. Palma", "Sebastián Muñoz-Herrera" ], "first_author": "Cristóbal Vera-Carrasco", "venue": "Journal of Marine Science and Engineering", "volume": "13", "pages": null, "type": "article", "language": "en", "abstract": "Empty container depot (ECD) design significantly impacts maritime terminal efficiency, yet traditional evaluation approaches assess limited operational factors, constraining comprehensive performance optimization. This study develops an integrated discrete event simulation (DES) framework that simultaneously evaluates lifting equipment utilization, truck turnaround times, and potential collisions to support terminal decision-making. This study combines operational efficiency metrics with safety analytics for non-automated ECDs using Top Lifters and Reach Stackers. Additionally, a regression analysis examines efficiency metrics’ effect on safety risk. A case study at a Chilean multipurpose terminal reveals performance trade-offs between indicators under different operational scenarios, identifying substantial efficiency disparities between dry and refrigerated container operations. An analysis of four distinct collision zones with varying historical risk profiles showed the gate area had the highest potential collisions and a strong regression correlation with efficiency metrics. Similar models showed a poor fit in other conflict zones, evidencing the necessity for dedicated safety indicators complementing traditional measures. This integrated approach quantifies interdependencies between safety and efficiency metrics, helping terminal managers optimize layouts, expose traditional metric limitations, and reduce safety risks in space-constrained maritime terminals.", "keywords": [ "Terminal (telecommunication)", "Container (type theory)", "Computer science", "Operations research", "Environmental science", "Engineering", "Computer network", "Mechanical engineering" ], "cited_by_openalex": 3, "cited_by_scopus": "6", "eid": "2-s2.0-105014323481", "pii": null, "open_access_url": "https://www.mdpi.com/2077-1312/13/8/1424/pdf", "sources": [ { "db": "openalex", "stream": "TRUCK", "query_id": "TRUCK-3" }, { "db": "scopus", "stream": "TRUCK", "query_id": "TRUCK-3" } ], "streams": [ "TRUCK" ], "relevance_signals": [ "TRUCK_NO_CTX" ], "auto_exclude_reason": "EC-4-topic", "screening_status": "auto_excluded", "screened_by": "auto-v1.0.0" }, { "id": "doi:10.1016/j.trd.2025.105176", "doi": "10.1016/j.trd.2025.105176", "title": "Decarbonizing last-mile delivery: A life cycle comparison of low-altitude and traditional logistics", "year": 2025, "authors": [ "Jun-jie Dong", "Yuan-kai Huang" ], "first_author": "Jun-jie Dong", "venue": "Transportation Research Part D Transport and Environment", "volume": "152", "pages": null, "type": "article", "language": "en", "abstract": null, "keywords": [ "Carbon footprint", "Payload (computing)", "Life-cycle assessment", "Ecological footprint", "Key (lock)", "Sustainability", "Drone", "Service (business)" ], "cited_by_openalex": 7, "cited_by_scopus": "6", "eid": "2-s2.0-105025001662", "pii": "S1361920925005863", "open_access_url": "https://doi.org/10.1016/j.trd.2025.105176", "sources": [ { "db": "openalex", "stream": "UAV", "query_id": "UAV-1" }, { "db": "scopus", "stream": "UAV", "query_id": "UAV-1" } ], "streams": [ "UAV" ], "relevance_signals": [ "UAV" ], "auto_exclude_reason": null, "screening_status": "pending_human_screening", "screened_by": "auto-v1.0.0" }, { "id": "doi:10.1016/j.sftr.2025.100713", "doi": "10.1016/j.sftr.2025.100713", "title": "Assessing sustainability of smart last mile delivery: a simulation-based decision support tool", "year": 2025, "authors": [ "Maria Grazia Gnoni", "Lorenzo Rubrichi", "Fabiana Tornese" ], "first_author": "Maria Grazia Gnoni", "venue": "Sustainable Futures", "volume": "9", "pages": null, "type": "article", "language": "en", "abstract": "The increasing demand of e-commerce is forcing economic and environmental inefficiency in last mile logistics (LML). The adoption of smart and autonomous technologies, such as Unmanned Aerial Vehicles (UAVs) and Autonomous Delivery Robots (ADRs), is being evaluated in LML in order to increase its effectiveness. UAVs offer advantages such as faster delivery times and reduced traffic congestion, but face challenges like weather sensitivity and the need for dedicated take-off and landing infrastructure. ADRs can reduce emissions and operational costs compared to traditional LML systems, but their full application is limited mainly due to slower speeds and complex interactions with pedestrians. Despite their limitations, in future years these technologies could be fully applied for LML: thus, evaluating their environmental impact during LML service is necessary to plan their full-scale application. This study proposes a simulation-based decision support tool for assessing the performance of traditional and smart LML technologies according to economic and environmental points of view. By leveraging advanced simulation models, the proposed tool allows to estimate these impacts under varying operational conditions, providing a comprehensive framework for decision-making the LML field by comparing traditional versus innovative LML services. The tool was validated through a case study application in an urban context, demonstrating its ability to highlight the potential benefits and challenges of applying UAVs and ADRs into LML networks. Results indicate that unmanned delivery vehicles allow for a substantial reduction in carbon emissions in the operational phase, confirming their potential as a more environmentally sustainable solution for urban last mile logistics. In addition, the total cost associated with unmanned systems is found to be comparable to that of conventional vehicles, particularly when these latter operate under medium-to-high traffic conditions. Researchers and logistic companies can use this tool to evaluate and optimize the impact of their innovative LML services strategies and achieve improved economic and environmental sustainability levels.", "keywords": [ "Mile", "Last mile (transportation)", "Sustainability", "Decision support system", "Computer science", "Environmental resource management", "Environmental science", "Environmental planning", "Geography", "Data mining" ], "cited_by_openalex": 4, "cited_by_scopus": "6", "eid": "2-s2.0-105005866918", "pii": "S2666188825002801", "open_access_url": "https://doi.org/10.1016/j.sftr.2025.100713", "sources": [ { "db": "openalex", "stream": "UAV", "query_id": "UAV-1" }, { "db": "scopus", "stream": "UAV", "query_id": "UAV-1" } ], "streams": [ "UAV" ], "relevance_signals": [ "UAV" ], "auto_exclude_reason": null, "screening_status": "pending_human_screening", "screened_by": "auto-v1.0.0" }, { "id": "doi:10.1186/s43093-025-00513-x", "doi": "10.1186/s43093-025-00513-x", "title": "Aerial pathways to resilience: the acceptance of drones in logistics transformation", "year": 2025, "authors": [ "Sofia Gomes", "João Morais Lopes", "Tiago Trancoso" ], "first_author": "Sofia Gomes", "venue": "Future Business Journal", "volume": null, "pages": null, "type": "article", "language": "en", "abstract": "Abstract Amidst the tumultuous backdrop of the COVID-19 pandemic and the ensuing lockdowns, traditional parcel delivery services faced substantial disruptions, grappling with challenges such as delays, heightened demand, and the inherent risk of contact transmission. In contrast, this paper explores the promising prospect of drone delivery services as a resilient and efficient alternative during crises, offering a contactless delivery solution to circumvent the limitations endured by traditional services in times of unprecedented upheaval. This study examines the determinants of consumer acceptance of drone delivery services, focusing on the roles of perceived usefulness, ease of use, and privacy concerns. We collected data from 1,108 Portuguese consumers through an online survey to assess how these factors influence consumer attitudes and intentions toward adopting drone delivery services. Our findings confirm that perceived usefulness is the most significant predictor of both positive attitudes toward and intentions to adopt drone delivery services, underscoring the importance of practical benefits in technology acceptance. Perceived ease of use also positively impacts consumer attitudes and intentions, highlighting the role of usability in facilitating adoption. Conversely, perceived privacy concerns, while negatively affecting attitudes and intentions, do so marginally, suggesting that privacy issues are secondary to the perceived benefits and usability of the service. The study further reveals that the mediation effect of consumer attitudes weakens the relationship between these antecedents and adoption intentions, particularly diminishing the negative impact of privacy concerns. This research not only provides valuable insights for businesses seeking to implement drone package delivery services but also offers a theoretical foundation for future studies in the burgeoning field of innovative logistics solutions. As industries evolve, it is imperative to unravel the complexities of consumer perceptions to foster successful integration and acceptance of cutting-edge technologies.", "keywords": [ "Drone", "Resilience (materials science)", "Transformation (genetics)", "Aeronautics", "Business", "Engineering", "Biology", "Materials science", "Genetics", "Gene" ], "cited_by_openalex": 6, "cited_by_scopus": 0, "eid": null, "pii": null, "open_access_url": "https://fbj.springeropen.com/counter/pdf/10.1186/s43093-025-00513-x", "sources": [ { "db": "openalex", "stream": "UAV", "query_id": "UAV-1" } ], "streams": [ "UAV" ], "relevance_signals": [ "UAV" ], "auto_exclude_reason": null, "screening_status": "pending_human_screening", "screened_by": "auto-v1.0.0" }, { "id": "doi:10.3390/drones9020098", "doi": "10.3390/drones9020098", "title": "Efficient Coverage Path Planning for a Drone in an Urban Environment", "year": 2025, "authors": [ "Joanne Sabag", "Barak Pinkovich", "Ehud Rivlin", "Héctor P. Rotstein" ], "first_author": "Joanne Sabag", "venue": "Drones", "volume": "9", "pages": null, "type": "article", "language": "en", "abstract": "Multirotor drones play an increasingly significant role in smart cities and are among the most widely discussed emerging technologies. They are expected to support various applications such as package delivery, data collection, traffic policing, surveillance, and medicine. As part of their services, future drones should be able to solve the last-mile challenge and land safely in urban areas. This paper addresses the path planning task for an autonomous drone searching for a landing place in an urban environment. Our algorithm uses a novel multi-resolution probabilistic approach in which visual information is collected by the drone at decreasing altitudes. As part of the exploration task, we present the Global Path Planning (GPP) problem, which uses probabilistic information and the camera’s field of view to plan safe trajectories that will maximize the search success by covering areas with high potential for proper landing while avoiding no-fly zones and complying with time constraints. The GPP problem is formulated as a minimization problem and then is shown to be NP-hard. As a baseline, we develop an approximation algorithm based on an exhaustive search, and then we devise a more complex yet efficient heuristic algorithm to solve the problem. Finally, we evaluate the algorithms’ performance using simulation experiments. Simulation results obtained from various scenarios show that the proposed heuristic algorithm significantly reduces computation time while keeping coverage performance close to the baseline. To the best of our knowledge, this is the first work referring to a multi-resolution approach to such search missions; further, in particular, the GPP problem has not been addressed previously.", "keywords": [ "Drone", "Motion planning", "Path (computing)", "Computer science", "Urban planning", "Environmental planning", "Transport engineering", "Aeronautics", "Business", "Geography", "Artificial intelligence", "Engineering" ], "cited_by_openalex": 4, "cited_by_scopus": "6", "eid": "2-s2.0-85218626012", "pii": null, "open_access_url": "https://doi.org/10.3390/drones9020098", "sources": [ { "db": "openalex", "stream": "UAV", "query_id": "UAV-1" }, { "db": "scopus", "stream": "UAV", "query_id": "UAV-1" } ], "streams": [ "UAV" ], "relevance_signals": [ "UAV" ], "auto_exclude_reason": null, "screening_status": "pending_human_screening", "screened_by": "auto-v1.0.0" }, { "id": "doi:10.1080/00207543.2025.2496965", "doi": "10.1080/00207543.2025.2496965", "title": "A bi-objective optimisation model for the drone scheduling problem in island delivery", "year": 2025, "authors": [ "Ying Yang", "Jiaxin Liu", "Shuaian Wang" ], "first_author": "Ying Yang", "venue": "International Journal of Production Research", "volume": "63", "pages": "7174-7195", "type": "article", "language": "en", "abstract": "Drone-assisted parcel delivery to remote islands is increasingly replacing traditional methods, offering improved efficiency and enhanced service reliability. This paper addresses the drone scheduling problem in island delivery (DSP-ID) by optimising drone delivery routes. In particular, we first introduce a bi-objective mixed-integer linear programming model that concurrently optimises delivery time and energy consumption. To address the model, both a heuristic non-dominated sorting genetic algorithm II (NSGA-II) and an exact augmented ε-constraint method are developed. The efficacy and robustness of the proposed model and algorithms are evaluated through experiments across various scales. Results indicate that both algorithms yield high-quality solutions for DSP-ID in small-scale scenarios. However, as the problem size expands, the performance of the augmented ε-constraint method wanes under time constraints, whereas the NSGA-II consistently delivers high-quality solutions. Additionally, we provide decision-makers with actionable insights for selecting the most effective drone delivery routes.", "keywords": [ "Drone", "Scheduling (production processes)", "Computer science", "Job shop scheduling", "Operations research", "Mathematical optimization", "Engineering", "Operations management", "Mathematics", "Computer network" ], "cited_by_openalex": 4, "cited_by_scopus": "6", "eid": "2-s2.0-105003873062", "pii": null, "open_access_url": "https://doi.org/10.1080/00207543.2025.2496965", "sources": [ { "db": "openalex", "stream": "UAV", "query_id": "UAV-1" }, { "db": "scopus", "stream": "UAV", "query_id": "UAV-1" } ], "streams": [ "UAV" ], "relevance_signals": [ "UAV" ], "auto_exclude_reason": null, "screening_status": "pending_human_screening", "screened_by": "auto-v1.0.0" }, { "id": "doi:10.3390/automation6040054", "doi": "10.3390/automation6040054", "title": "Artificial Intelligence Approaches for UAV Deconfliction: A Comparative Review and Framework Proposal", "year": 2025, "authors": [ "Fábio Suim Chagas", "Neno Ruseno", "Aurilla Aurelie Arntzen Bechina" ], "first_author": "Fábio Suim Chagas", "venue": "Automation", "volume": "6", "pages": null, "type": "article", "language": "en", "abstract": "The increasing capabilities of Unmanned Aerial Vehicles (UAVs) or drones are opening up diverse business opportunities. Innovations in drones, U-space, and UTM systems are driving the rapid development of new air mobility applications, often outpacing current regulatory frameworks. These applications now span multiple sectors, from infrastructure monitoring to urban parcel delivery, resulting in a projected increase in drone traffic within shared airspace. This growth introduces significant safety concerns, particularly in managing the separation between drones and manned aircraft. Although various research efforts have addressed this deconfliction challenge, a critical need remains for improved automated solutions at both strategic and tactical levels. In response, our SESAR-funded initiative, AI4HyDrop, investigates the application of machine learning to develop an intelligent system for UAV deconfliction. As part of this effort, we conducted a comprehensive literature review to assess the application of Artificial Intelligence (AI) in this domain. The AI algorithms used in drone deconfliction can be categorized into three types: deep learning, reinforcement learning, and bio-inspired learning. The findings lay a foundation for identifying the key requirements of an AI-based deconfliction system for UAVs.", "keywords": [ "Drone", "Key (lock)", "Reinforcement learning", "Foundation (evidence)", "Air traffic control", "Intelligent transportation system" ], "cited_by_openalex": 6, "cited_by_scopus": "6", "eid": "2-s2.0-105026164890", "pii": null, "open_access_url": "https://www.mdpi.com/2673-4052/6/4/54/pdf?version=1760177092", "sources": [ { "db": "openalex", "stream": "UAV", "query_id": "UAV-1" }, { "db": "scopus", "stream": "UAV", "query_id": "UAV-1" } ], "streams": [ "UAV" ], "relevance_signals": [ "UAV" ], "auto_exclude_reason": null, "screening_status": "pending_human_screening", "screened_by": "auto-v1.0.0" }, { "id": "doi:10.1080/13504509.2025.2595056", "doi": "10.1080/13504509.2025.2595056", "title": "Effectiveness of early-warning systems and disaster risk reduction for rural food security under hydro-meteorological hazards in Sub-Saharan Africa: systematic review", "year": 2025, "authors": [ "Degfie Teku", "Getasew Daru Tariku" ], "first_author": "Degfie Teku", "venue": "International Journal of Sustainable Development & World Ecology", "volume": "33", "pages": "101-122", "type": "review", "language": "en", "abstract": "Sub-Saharan Africa (SSA) faces escalating hydro-meteorological hazards that disrupt rural food systems, intensify hunger, and undermine livelihoods. This systematic review synthesizes evidence from 2010 to August 2025 on the effectiveness of Early-Warning Systems (EWS) and Disaster Risk Reduction (DRR) interventions in protecting rural food security. A PRISMA-style screening identified 320 records, with 29 duplicates removed, and 212 full-text articles assessed for eligibility, with data extracted independently by two reviewers. Sources include peer-reviewed studies, program evaluations, regional assessments, and institutional reports from FEWS-NET, ICPAC, IPCC, FAO, WFP, WHO, and CREWS. The review addresses three questions: (i) How effective are EWS in hazard detection, dissemination, and anticipatory action?; (ii) What are the impacts of DRR measures including social protection, risk financing, nature-based solutions, water management, and community-based approaches on food security?; and (iii) Which governance, institutional, and socio-economic factors facilitate or constrain adoption? Findings indicate EWS and DRR reduce vulnerability to droughts and floods when systems are reliable, people-centered, and linked to pre-arranged finance and delivery mechanisms. Integrated approaches combining early warnings with anticipatory cash, climate-smart land and water management, and inclusive social protection are most effective. Constraints include fragmented governance, underfunded hydromet-infrastructure, weak last-mile communication, insurance basis risk, and inequities excluding pastoralists, women, and remote communities. Emerging technologies-satellite monitoring, AI, IoT, drones, and digital advisories enhance forecasting if co-produced, ethically governed, and sustainably financed. Strengthening legal-frameworks, regional interoperability, shock-responsive social protection, and harmonized monitoring aligned with Sendai Target C and SDG-2 is essential for resilient, equitable, adaptive food systems in SSA.", "keywords": [ "Food security", "Disaster risk reduction", "Reduction (mathematics)", "Vulnerability (computing)", "Hazard", "Natural disaster", "Food supply" ], "cited_by_openalex": 7, "cited_by_scopus": "6", "eid": "2-s2.0-105024105348", "pii": null, "open_access_url": "https://doi.org/10.1080/13504509.2025.2595056", "sources": [ { "db": "openalex", "stream": "UAV", "query_id": "UAV-1" }, { "db": "scopus", "stream": "UAV", "query_id": "UAV-1" } ], "streams": [ "UAV" ], "relevance_signals": [ "UAV" ], "auto_exclude_reason": null, "screening_status": "pending_human_screening", "screened_by": "auto-v1.0.0" }, { "id": "doi:10.71222/tqje9396", "doi": "10.71222/tqje9396", "title": "Low-Altitude and High-Speed Transportation Approach for Improved Logistics Efficiency and Carbon Reduction in Urban Networks", "year": 2025, "authors": [ "Jorge Mahoney", "Deborah Ramirez", "Thomas Ramirez", "Nicholas Foster" ], "first_author": "Jorge Mahoney", "venue": "Journal of Computer Signal and System Research", "volume": null, "pages": null, "type": "article", "language": "en", "abstract": "The new framework that combines the low-altitude economy with high-speed transportation offers a practical and effective solution for modern city logistics systems. It shows strong potential in boosting delivery efficiency, cutting costs, and reducing carbon emissions. This study focuses on Suzhou's logistics network, using a multi-goal optimization model and a smart scheduling system to assess how well the low-altitude economy works in different logistics situations. By combining an ARIMA time series prediction model with a Long Short-Term Memory (LSTM) network, the study looks at how logistics needs change during busy times, bad weather, and emergency situations. The research uses different data sources to help drones and ground vehicles work together smoothly. The model includes three main measures: delivery efficiency (T), transportation costs (C), and carbon emissions (E), and shows the real benefits of the low-altitude economy through clear data analysis. The results show that in normal conditions, delivery efficiency increased to 97.9, transportation costs dropped to 65.4, and carbon emissions fell to 58.2. During peak traffic and bad weather, delivery efficiency stayed strong at 85.5 and 80.3. The smart scheduling system managed resources well, keeping costs and emissions within safe limits (cost: 70.1-73.5; emissions: 61.8-67.9). Scheduling efficiency went up from 0.85 to 0.93, and resource use improved from 74.6% to 88.1%. The analysis showed a clear negative link between delivery efficiency and carbon emissions (-0.85) and a positive link between costs and emissions (0.78). This suggests the need to balance cost savings with environmental benefits. The suggested approach, combining the multi-goal optimization model with a smart scheduling system, not only helps Suzhou handle complex logistics challenges but also provides a useful model for other large cities, supporting the move towards faster, greener, and smarter city logistics systems.", "keywords": [ "Reduction (mathematics)", "Transport engineering", "Altitude (triangle)", "Carbon fibers", "Environmental science", "Business", "Environmental economics", "Computer science", "Engineering", "Economics", "Mathematics" ], "cited_by_openalex": 6, "cited_by_scopus": 0, "eid": null, "pii": null, "open_access_url": "https://doi.org/10.71222/tqje9396", "sources": [ { "db": "openalex", "stream": "UAV", "query_id": "UAV-1" } ], "streams": [ "UAV" ], "relevance_signals": [ "UAV" ], "auto_exclude_reason": null, "screening_status": "pending_human_screening", "screened_by": "auto-v1.0.0" }, { "id": "doi:10.1109/globecom59602.2025.11432325", "doi": "10.1109/globecom59602.2025.11432325", "title": "Hallucination-Aware Generative Pretrained Transformer for Cooperative Aerial Mobility Control", "year": 2025, "authors": [ "H. S. Ahn", "Seungcheol Oh", "Gyu Seon Kim", "Soyi Jung", "Soohyun Park", "Junsu Kim" ], "first_author": "H. S. Ahn", "venue": "Proceedings IEEE Global Communications Conference Globecom", "volume": null, "pages": "5369-5374", "type": "conference-paper", "language": null, "abstract": "This paper proposes SafeGPT, a two-tiered framework that integrates generative pretrained transformers (GPTs) with reinforcement learning (RL) for efficient and reliable un-manned aerial vehicle (UAV) last-mile deliveries. In the proposed design, a Global GPT module assigns high-level tasks such as sector allocation, while an On-Device GPT manages real-time local route planning. An RL-based safety filter monitors each GPT decision and overrides unsafe actions that could lead to battery depletion or duplicate visits, effectively mitigating hallucinations. Furthermore, a dual replay buffer mechanism helps both the GPT modules and the RL agent refine their strategies over time. Simulation results demonstrate that SafeGPT achieves higher delivery success rates compared to a GPT-only baseline, while substantially reducing battery consumption and travel distance. These findings validate the efficacy of combining GPT-based semantic reasoning with formal safety guarantees, contributing a viable solution for robust and energy-efficient UAV logistics.", "keywords": [ "Transformer", "Reinforcement learning", "Generative grammar", "Generative model", "Filter (signal processing)", "Control (management)", "Partially observable Markov decision process" ], "cited_by_openalex": 2, "cited_by_scopus": "6", "eid": "2-s2.0-105036310803", "pii": null, "open_access_url": "https://doi.org/10.1109/globecom59602.2025.11432325", "sources": [ { "db": "openalex", "stream": "UAV", "query_id": "UAV-1" }, { "db": "scopus", "stream": "UAV", "query_id": "UAV-1" } ], "streams": [ "UAV" ], "relevance_signals": [ "UAV" ], "auto_exclude_reason": null, "screening_status": "pending_human_screening", "screened_by": "auto-v1.0.0" }, { "id": "doi:10.1109/access.2025.3529618", "doi": "10.1109/access.2025.3529618", "title": "Modeling and Solving Multi-Objective Path Planning Problem for Cooperative Cable-Suspended Load Transportation Considering the Time Variable Risk", "year": 2025, "authors": [ "Amir Arslan Haghrah", "Sehraneh Ghaemi", "Mohammad Ali Badamchizadeh" ], "first_author": "Amir Arslan Haghrah", "venue": "IEEE Access", "volume": null, "pages": null, "type": "article", "language": "en", "abstract": "Cooperative load transportation has the potential to revolutionize the urban logistics industry and can also be utilized in rescue operations following natural disasters. Utilizing cooperative cable-suspended load transportation in such applications involves addressing three problems: static path planning, dynamic path planning, and control. In this article, we aim to tackle the first problem, i.e., static path planning, which is largely separate from the other two tasks. In this regard, we propose a model for the offline path planning of the cooperative cable-suspended load transportation system, including practical constraints. Using the proposed model, we can limit parameters such as the speed and acceleration of UAVs, flight altitude, task completion time, and safety distances between UAVs and obstacles, while minimizing the path length and risk. In addition, we propose an improved hybrid fuzzy particle swarm optimization (PSO) and whale optimization algorithm (WOA) to solve the introduced path planning problem efficiently. Furthermore, a chaotic mutation operator prevents premature convergence in the PSO algorithm. To demonstrate the efficiency of the proposed model and algorithm, three case studies inspired by a fire incident in a forest park have been conducted, and the results have been compared with those of seven other well-known algorithms.", "keywords": [ "Computer science", "Variable (mathematics)", "Mathematical optimization", "Motion planning", "Path (computing)", "Robot", "Computer network", "Mathematics", "Artificial intelligence" ], "cited_by_openalex": 6, "cited_by_scopus": 0, "eid": null, "pii": null, "open_access_url": "https://doi.org/10.1109/access.2025.3529618", "sources": [ { "db": "openalex", "stream": "UAV", "query_id": "UAV-1" } ], "streams": [ "UAV" ], "relevance_signals": [ "UAV" ], "auto_exclude_reason": null, "screening_status": "pending_human_screening", "screened_by": "auto-v1.0.0" }, { "id": "doi:10.1080/17509653.2025.2490246", "doi": "10.1080/17509653.2025.2490246", "title": "Two-echelon vehicle routing problem with integrated drones and unmanned ground vehicles", "year": 2025, "authors": [ "John F. Castaneda", "Ramón Alfonso Gallego Rendón", "Eliana Mirledy Toro Ocampo" ], "first_author": "John F. Castaneda", "venue": "International Journal of Management Science and Engineering Management", "volume": "20", "pages": "522-542", "type": "article", "language": "en", "abstract": "The Vehicle Routing Problem (VRP) faces numerous challenges, including high-traffic areas, restricted access for cargo vehicles, high pollutant emissions, pedestrian-only zones, and limited parking. The VRP with Unmanned Vehicles seeks to address these issues by incorporating vehicles attached to the primary delivery vehicle. These attached vehicles encounter fewer access restrictions in delivery areas but have limited load capacity and range. This paper proposes formulating a two-echelon VRP using Unmanned Aerial Vehicles (UAVs) and Unmanned Ground Vehicles (UGVs) to compare their performance against the classical Capacitated Vehicle Routing Problem (CVRP). The objective is to identify the benefits—such as reduced pollutant emissions—of using these vehicles, and to highlight the advantages and disadvantages of each type of attached vehicle for the second echelon. The development is carried out in three phases. First, the problem is solved using the classical vehicle routing problem for the first echelon. Then, clusters are generated to reconfigure the routes from the initial solution, assign customers to the second echelon, and verify feasibility. Finally, a modified Iterated Local Search (ILS) is used to obtain solutions for the two-echelon problem. Performance and quality control are conducted using benchmark sets for the classical VRP to validate the proposed methodology.", "keywords": [ "Drone", "Computer science", "Vehicle routing problem", "Routing (electronic design automation)", "Computer network" ], "cited_by_openalex": 6, "cited_by_scopus": "6", "eid": "2-s2.0-105002973244", "pii": null, "open_access_url": "https://www.tandfonline.com/doi/pdf/10.1080/17509653.2025.2490246", "sources": [ { "db": "openalex", "stream": "UAV", "query_id": "UAV-2" }, { "db": "scopus", "stream": "UAV", "query_id": "UAV-2" } ], "streams": [ "UAV" ], "relevance_signals": [ "UAV_NO_CTX" ], "auto_exclude_reason": "EC-4-topic", "screening_status": "auto_excluded", "screened_by": "auto-v1.0.0" }, { "id": "doi:10.1016/j.eswa.2025.129196", "doi": "10.1016/j.eswa.2025.129196", "title": "Multi-objective hyper heuristic memetic algorithm for time-dependent vehicle routing problem with drone considering simultaneous pickup and delivery", "year": 2025, "authors": [ "Haohao Duan", "Xiaoling Li", "Yanxiang Feng", "Guanghui Zhang", "Qing-Chang Lu", "Xu Meng" ], "first_author": "Haohao Duan", "venue": "Expert Systems with Applications", "volume": "297", "pages": null, "type": "article", "language": "en", "abstract": null, "keywords": [ "Pickup", "Memetic algorithm", "Drone", "Vehicle routing problem", "Computer science", "Heuristic", "Mathematical optimization", "Routing (electronic design automation)", "Local search (optimization)", "Algorithm", "Artificial intelligence", "Mathematics" ], "cited_by_openalex": 8, "cited_by_scopus": "6", "eid": "2-s2.0-105013737973", "pii": "S095741742502812X", "open_access_url": "https://doi.org/10.1016/j.eswa.2025.129196", "sources": [ { "db": "openalex", "stream": "UAV", "query_id": "UAV-2" }, { "db": "scopus", "stream": "UAV", "query_id": "UAV-2" } ], "streams": [ "UAV" ], "relevance_signals": [ "UAV_NO_CTX" ], "auto_exclude_reason": "EC-4-topic", "screening_status": "auto_excluded", "screened_by": "auto-v1.0.0" }, { "id": "doi:10.1080/03081079.2025.2548599", "doi": "10.1080/03081079.2025.2548599", "title": "Green drone multi-package delivery routing problem and its efficient algorithms", "year": 2025, "authors": [ "Fuqiang Lu", "Shiguang Tian", "Wenjing Feng", "Hualing Bi" ], "first_author": "Fuqiang Lu", "venue": "International Journal of General Systems", "volume": null, "pages": null, "type": "article", "language": "en", "abstract": "Drones have delivery advantages in some special areas. Green means minimizing the energy consumption of drone delivery. However, minimizing the delivery time or minimizing the delivery distance cannot reflect the delivery cost of drones. Therefore, this paper aims to minimize the total energy consumption. The energy consumption function is established, and the path planning is made for the multi-package delivery of drones. A hybrid algorithm combining heuristic and exact solvers, Advanced Clarke and Wright Saving - Solving Constraint Integer Programs (ACWS-SCIP), is developed to solve the drone delivery problem. In order to improve the speed of solving large-scale problems, another hybrid heuristic algorithm is designed: Advanced Clarke and Wright Saving - Improved crow search algorithm (ACWS-ICSA). In experiments, a case in a remote rural area is studied, and results confirm that the shortest delivery path does not necessarily consume the lowest energy.", "keywords": [ "Drone", "Computer science", "Routing (electronic design automation)", "Vehicle routing problem", "Mathematical optimization", "Algorithm", "Mathematics", "Embedded system" ], "cited_by_openalex": 4, "cited_by_scopus": "6", "eid": "2-s2.0-105014101270", "pii": null, "open_access_url": "https://doi.org/10.1080/03081079.2025.2548599", "sources": [ { "db": "openalex", "stream": "UAV", "query_id": "UAV-2" }, { "db": "scopus", "stream": "UAV", "query_id": "UAV-2" } ], "streams": [ "UAV" ], "relevance_signals": [ "UAV" ], "auto_exclude_reason": null, "screening_status": "pending_human_screening", "screened_by": "auto-v1.0.0" }, { "id": "doi:10.1111/itor.13621", "doi": "10.1111/itor.13621", "title": "Drone‐enabled material handling in smart manufacturing", "year": 2025, "authors": [ "Julio Jiménez‐Sarda", "Daniel F. Silva", "Alice E. Smith" ], "first_author": "Julio Jiménez‐Sarda", "venue": "International Transactions in Operational Research", "volume": "32", "pages": "3296-3315", "type": "article", "language": "en", "abstract": "Abstract Amidst labor shortages, increasing land prices, and other aspects of the post‐pandemic world, our logistics chain must consider new technological alternatives. Automated material handling equipment often requires valuable floor space and specialized layouts. Uncrewed aerial vehicles, popularly called drones, offer a flexible and cost‐effective alternative. To explore the potential benefits and challenges of such systems, we used a version of the multi‐trip vehicle routing problem with time windows to model two realistic manufacturing environments as use cases. We provide the mixed integer linear programming formulation of this problem and compare results with those of a human‐only based system in a detailed simulated environment. Furthermore, as a physical proof‐of‐concept, we outfitted a commercially available drone with pick‐up and carry capabilities. We found that, even with limited drone carrying capacity, there are economic benefits realized from time savings, compared to ground‐based material handling systems. Besides these time savings, drones are sustainable as they operate on battery power and do not impair the air quality or the traffic experienced on the ground.", "keywords": [ "Drone", "Computer science", "Supply chain", "Material handling", "Economic shortage", "Operations research", "Manufacturing engineering", "Engineering", "Business" ], "cited_by_openalex": 5, "cited_by_scopus": "6", "eid": "2-s2.0-85216511726", "pii": null, "open_access_url": "https://doi.org/10.1111/itor.13621", "sources": [ { "db": "openalex", "stream": "UAV", "query_id": "UAV-2" }, { "db": "scopus", "stream": "UAV", "query_id": "UAV-2" } ], "streams": [ "UAV" ], "relevance_signals": [ "UAV_NO_CTX" ], "auto_exclude_reason": "EC-4-topic", "screening_status": "auto_excluded", "screened_by": "auto-v1.0.0" }, { "id": "doi:10.1109/icra55743.2025.11128262", "doi": "10.1109/icra55743.2025.11128262", "title": "Risk-Aware Energy-Constrained UAV-UGV Cooperative Routing Using Attention-Guided Reinforcement Learning", "year": 2025, "authors": [ "Md Safwan Mondal", "R. Subramanian", "Ragib Rownak", "Luca Russo", "James D. Humann", "James M. Dotterweich", "Pranav A. Bhounsule" ], "first_author": "Md Safwan Mondal", "venue": "Proceedings IEEE International Conference on Robotics and Automation", "volume": null, "pages": "13000-13006", "type": "conference-paper", "language": "en", "abstract": "Maximizing the endurance of unmanned aerial vehicles (UAVs) in large-scale monitoring missions spanning over large areas requires addressing their limited battery capacity. Deploying unmanned ground vehicles (UGVs) as mobile recharging stations offers a practical solution, extending UAVs' operational range. This introduces the challenge of optimizing UAV-UGV routes for efficient mission point coverage and seamless recharging coordination. In this paper, we present a risk-aware deep reinforcement learning (Ra-DRL) framework with a multi-head attention mechanism within an encoder-decoder transformer architecture to solve this cooperative routing problem for a UAV-UGV team. Our model minimizes mission time while accounting for the stochastic fuel consumption of the UAV, influenced by environmental factors like wind velocity, ensuring adherence to a risk threshold to avoid mid-mission energy depletion. Extensive evaluations on various problem sizes show that our method significantly outperforms nearest-neighbor heuristics in both solution quality and risk management. We validate the Ra-DRL policy in a Gazebo-ROS SITL environment with a PX4-based custom UAV and Clearpath Husky UGV. The results demonstrate the robustness and adaptability of our policy, making it highly effective for mission planning in dynamic, uncertain scenarios.", "keywords": [ "Reinforcement learning", "Computer science", "Routing (electronic design automation)", "Energy (signal processing)", "Artificial intelligence", "Computer network" ], "cited_by_openalex": 3, "cited_by_scopus": "6", "eid": "2-s2.0-105016626991", "pii": null, "open_access_url": "https://doi.org/10.1109/icra55743.2025.11128262", "sources": [ { "db": "openalex", "stream": "UAV", "query_id": "UAV-2" }, { "db": "scopus", "stream": "UAV", "query_id": "UAV-2" } ], "streams": [ "UAV" ], "relevance_signals": [ "UAV_NO_CTX" ], "auto_exclude_reason": "EC-4-topic", "screening_status": "auto_excluded", "screened_by": "auto-v1.0.0" }, { "id": "doi:10.2514/6.2025-3001", "doi": "10.2514/6.2025-3001", "title": "High-Fidelity Simulations of Vertiport Gust Effects on eVTOL Rotor Noise", "year": 2025, "authors": [ "Vadim Voropayev", "Michael Marques", "Alireza Maleki", "Sheryl M. Grace", "Anastasios S. Lyrintzis", "Reda R. Mankbadi", "Vladimir V. Golubev" ], "first_author": "Vadim Voropayev", "venue": "AIAA Aviation Forum and Ascend 2025", "volume": null, "pages": null, "type": "conference-paper", "language": "en", "abstract": "This study addresses the impact of gusts on the performance and noise generation of an Electric Vertical Take-Off and Landing (eVTOL) rotor. Periodic gusts and turbulence modes derived from building flow wall-modeled LES simulations are applied to a scaled version of the propeller in edgewise flight, influencing performance and noise generation at the propeller. The OpenFOAM solver is utilized to conduct a Delayed Detached-Eddy Simulations (DDES), with the gust generated using a previously developed synthetic-disturbance method. The far-field noise is further calculated using PSU-WOPWOP. The simulations reveal that gust disturbances moderately affect rotor performance, while also altering the spectral characteristics of the radiated noise. In particular, gusts contribute to localized amplification of acoustic sources, which results in an increased overall noise level.", "keywords": [ "Noise (video)", "Rotor (electric)", "Computer science", "High fidelity", "Fidelity", "Aerospace engineering", "Acoustics", "Physics", "Engineering", "Electrical engineering", "Telecommunications", "Artificial intelligence" ], "cited_by_openalex": 6, "cited_by_scopus": "6", "eid": "2-s2.0-105018300624", "pii": null, "open_access_url": "https://doi.org/10.2514/6.2025-3001", "sources": [ { "db": "openalex", "stream": "UAV", "query_id": "UAV-3" }, { "db": "scopus", "stream": "UAV", "query_id": "UAV-3" } ], "streams": [ "UAV" ], "relevance_signals": [ "UAV_NO_CTX" ], "auto_exclude_reason": "EC-4-topic", "screening_status": "auto_excluded", "screened_by": "auto-v1.0.0" }, { "id": "doi:10.1017/aer.2024.152", "doi": "10.1017/aer.2024.152", "title": "Capacity assessment of vertiports with a scheduling algorithm considering quality of service", "year": 2025, "authors": [ "J. Li", "Honghai Zhang", "J. Yi", "Cheng Dan Deng", "J. Zhou" ], "first_author": "J. Li", "venue": "The Aeronautical Journal", "volume": "129", "pages": "1791-1809", "type": "article", "language": "en", "abstract": "Abstract Urban air mobility (UAM) utilising novel transportation tools is gradually being recognised as a significant means to alleviate ground transportation pressures, vertiports which serve as pivotal nodes in UAM require efficient methods for assessing its operational capacity to develop an appropriate operational strategy and help to design vertiport ground infrastructure scientifically. This study proposes a multi-dimensional assessment method for the capacity of vertiports considering throughput and quality of service based on genetic algorithm (CEGA). The method comprehensively considers constraints such as unmanned aerial vehicle (UAV) safety separation, battery endurance, number of landing vertipads and UAV speed. The experimental results indicate that the vertiport with the scheduling algorithm proposed by this study has a larger capacity and experiences fewer delay than the vertiport with first-come-first-served (FCFS) algorithm when the vertiport has the same limited number of vertipads. Different proportions of UAVs significantly affect the quality of service and the degree of operation delays. The weights of vertiport throughput and customer satisfaction are the parameters that represent the importance of throughput and customer satisfaction in the objective function of the capacity assessment model. When the weights of throughput and customer satisfaction are set to 0.8 and 0.2 respectively, the performance of this optimisation model is optimal. This study provides a novel solution for capacity assessment and operation scheduling of vertiports, laying the foundation for improving the efficiency of UAM operations.", "keywords": [ "Computer science", "Throughput", "Customer satisfaction", "Scheduling (production processes)", "Quality of service", "Service quality", "Operational costs", "Algorithm", "Operations research", "Real-time computing", "Service (business)", "Engineering" ], "cited_by_openalex": 4, "cited_by_scopus": "6", "eid": "2-s2.0-85216121263", "pii": null, "open_access_url": "https://doi.org/10.1017/aer.2024.152", "sources": [ { "db": "openalex", "stream": "UAV", "query_id": "UAV-3" }, { "db": "scopus", "stream": "UAV", "query_id": "UAV-3" } ], "streams": [ "UAV" ], "relevance_signals": [ "UAV_NO_CTX" ], "auto_exclude_reason": "EC-4-topic", "screening_status": "auto_excluded", "screened_by": "auto-v1.0.0" }, { "id": "doi:10.1016/j.team.2025.03.001", "doi": "10.1016/j.team.2025.03.001", "title": "Advanced Air Mobility for commuting? An exploration of economic, energy, and environmental feasibility", "year": 2025, "authors": [ "Daniel Perez", "Heeseung Shon", "Bo Zou", "Kenneth D. Kuhn" ], "first_author": "Daniel Perez", "venue": "Transport Economics and Management", "volume": "3", "pages": "135-152", "type": "article", "language": "en", "abstract": "Advanced Air Mobility (AAM) presents an emerging alternative to traditional car driving for commuting in metropolitan areas. However, its feasibility has not been thoroughly studied nor well understood at the operational level. Given that AAM has not been in place, this study explores the economic, energy, and environmental feasibility of AAM for commuting at an early stage of AAM deployment. We propose a time-expanded network model to characterize the dynamics of eVTOL operations between a vertiport pair in different states: in-service flying, relocation flying, charging, and parking, while respecting various operational and commuter time window constraints. By jointly considering eVTOL flying with vertiport access and egress and using real-world data, we demonstrate an application of the model in the Chicago metropolitan area in the US. Different vertiport pairs and eVTOL aircraft models are investigated. We find substantial travel time saving if commuting by AAM. While vehicle operating cost will be higher using eVTOLs than using auto, the generalized travel cost will be less for commuters. On the other hand, with current eVTOL power requirement, the energy consumption and CO 2 emissions of AAM will be greater than those of auto driving, with an important contributor being the significance presence of empty flights relocation. These findings, along with sensitivity analysis, shed light on future eVTOL development to enhance the competitiveness of AAM as a viable option for commuting.", "keywords": [ "Energy (signal processing)", "Natural resource economics", "Environmental science", "Economics", "Physics" ], "cited_by_openalex": 5, "cited_by_scopus": "6", "eid": "2-s2.0-105011083244", "pii": "S2949899625000085", "open_access_url": "https://doi.org/10.1016/j.team.2025.03.001", "sources": [ { "db": "openalex", "stream": "UAV", "query_id": "UAV-3" }, { "db": "scopus", "stream": "UAV", "query_id": "UAV-3" } ], "streams": [ "UAV" ], "relevance_signals": [ "UAV_NO_CTX" ], "auto_exclude_reason": "EC-4-topic", "screening_status": "auto_excluded", "screened_by": "auto-v1.0.0" }, { "id": "doi:10.3390/aerospace12090777", "doi": "10.3390/aerospace12090777", "title": "Suitability Assessment and Route Network Planning for Low-Altitude Transportation in Urban Agglomerations Using Multi-Source Data", "year": 2025, "authors": [ "Jiayi Liu", "Gaoru Zhu", "Xin Yang", "Yiling Shen" ], "first_author": "Jiayi Liu", "venue": "Aerospace", "volume": null, "pages": null, "type": "article", "language": "en", "abstract": "As low-altitude transportation becomes essential to global integrated transport systems, developing extensive and well-structured networks in urban agglomerations is crucial for fostering regional synergy and enhancing three-dimensional transport. Focusing on the Beijing–Tianjin–Hebei urban agglomeration, this study integrates multi-source data within a three-stage research framework: (1) node suitability assessment, (2) route optimization, and (3) network structure evaluation. It systematically evaluates the suitability of county-level general aviation airports and township-level vertiports. Building on the suitability analysis, a hierarchical route network is constructed using a modified gravity model augmented by spatial correction mechanisms. Finally, spatial syntax analysis, supplemented with equity and robustness assessments, is applied to evaluate network accessibility, topological efficiency, and resilience. The key findings are as follows: (1) The suitability classification identifies 43 Class A, 86 Class B, and 71 Class C general aviation airports, revealing a spatial pattern characterized by higher density in the east, lower density in the west, and a multi-nodal clustering structure. Township-level vertiports markedly increase terminal-node coverage. (2) The optimized hierarchical network includes 114 primary, 180 secondary, and 366 tertiary routes, bridging previous regional connectivity gaps. (3) High values of network integration, choice, spatial intelligibility, and equity-adjusted accessibility indicate robust performance, fairness in service distribution, and resilience under potential disruptions. This study offers a methodological paradigm for the systematic development of low-altitude transport networks and provides valuable references for evidence-based planning of urban agglomeration air mobility systems and the strategic development of regional low-altitude economies.", "keywords": [ "Urban agglomeration", "Transport engineering", "Altitude (triangle)", "Environmental planning", "Geography", "Computer science", "Environmental science", "Engineering", "Economic geography" ], "cited_by_openalex": 6, "cited_by_scopus": 0, "eid": null, "pii": null, "open_access_url": "https://www.mdpi.com/2226-4310/12/9/777/pdf?version=1756388521", "sources": [ { "db": "openalex", "stream": "UAV", "query_id": "UAV-3" } ], "streams": [ "UAV" ], "relevance_signals": [ "UAV_NO_CTX" ], "auto_exclude_reason": "EC-4-topic", "screening_status": "auto_excluded", "screened_by": "auto-v1.0.0" }, { "id": "doi:10.3390/drones9030179", "doi": "10.3390/drones9030179", "title": "The Impact of Clinical Sample Transportation by Unmanned Aerial Systems on the Results of Laboratory Tests", "year": 2025, "authors": [ "Maanit Shapira", "Ben Cohen", "Sarit Friemann", "Yana Tal", "Zila Teper", "Mickey Dudkiewicz", "Shirley Portuguese", "Wasef Na’amnih", "Dikla Dahan Shriki" ], "first_author": "Maanit Shapira", "venue": "Drones", "volume": "9", "pages": null, "type": "article", "language": "en", "abstract": "Transport by unmanned aerial systems (UASs) (e.g., drones) could save time and personnel. Our study aimed to assess the effect of drone transportation on the clinical laboratory results of biological samples by examining its impact on pre-analytical and analytical processes. We performed a cross-sectional study of healthy volunteers from Sha’ar Menashe Mental Health Center between July and November 2022. Blood and urine samples were transferred to the central laboratory at Hillel Yaffe Medical Center. Overall, 40 healthcare workers aged 21–67 years (57.5% females) with a mean age of 45.8 (SD = 11.3) years from Sha’ar Menashe Mental Health Center were recruited in the study. There were no significant differences between transportation modes in the complete blood count levels. We found a significant difference between the transportation modes for GGT (p = 0.01) and PT (p = 0.04), despite the very similar mean results of these tests. In Bland–Altman plots, GGT and PT samples fell within the 95% limits of agreement and were indicated as not clinically relevant; however, glucose and LDH did not meet the 95% acceptance criterion and showed a potential clinical effect. There was full agreement between the two types of transportation for urine glucose, nitrites, and urine cultures. UAS transport is an appropriate method for maintaining the quality of most routine clinical laboratory specimens, similar to the routine procedure of using a vehicle. For the 34 biochemistry, hematology, and coagulation assay parameters, only glucose and LDH did not meet the 95% acceptance criterion and showed a potential clinical effect.", "keywords": [ "Sample (material)", "Aeronautics", "Aerial survey", "Computer science", "Engineering", "Geography", "Remote sensing", "Chemistry", "Chromatography" ], "cited_by_openalex": 4, "cited_by_scopus": "6", "eid": "2-s2.0-105001146678", "pii": null, "open_access_url": "https://doi.org/10.3390/drones9030179", "sources": [ { "db": "openalex", "stream": "UAV", "query_id": "UAV-3" }, { "db": "scopus", "stream": "UAV", "query_id": "UAV-3" } ], "streams": [ "UAV" ], "relevance_signals": [ "UAV_NO_CTX" ], "auto_exclude_reason": "EC-4-topic", "screening_status": "auto_excluded", "screened_by": "auto-v1.0.0" }, { "id": "doi:10.3390/s25082429", "doi": "10.3390/s25082429", "title": "FMCW Radar-Aided Navigation for Unmanned Aircraft Approach and Landing in AAM Scenarios: System Requirements and Processing Pipeline", "year": 2025, "authors": [ "Paolo Veneruso", "Luca Manica", "Enrico Miccio", "Roberto Opromolla", "Carlo Tiana", "Giacomo Gentile", "Giancarmine Fasano" ], "first_author": "Paolo Veneruso", "venue": "Sensors", "volume": "25", "pages": null, "type": "article", "language": "en", "abstract": "This paper focuses on the use of Frequency-Modulated Continuous Wave radars as an aiding source to provide precision navigation during approach and landing operations in Advanced Air Mobility scenarios. Specifically, the radar system requirements are delineated through an analysis of operational constraints defined by regulatory guidelines, including approach trajectories and vertiport infrastructure to ensure compatibility with Urban Air Mobility scenarios. A preliminary radar design is proposed which is integrated within a multi-sensor navigation architecture including a GNSS receiver, an inertial measurement unit, and two cameras. The radar is designed to detect high-reflectivity targets placed in the landing area and uses a matching algorithm to associate these detections with their known positions, enabling reliable corrections to the aircraft navigation state. Radar measurements are tightly integrated into an Extended Kalman Filter alongside data from other sensors, refining the vehicle navigation state estimate and ensuring seamless transitions between long-range and short-range sensing modalities. A high-fidelity simulation environment validates the proposed multi-sensor architecture under different visibility conditions and accordingly disactivating the radar to validate its contribution. The results demonstrate significant improvements in navigation performance when the radar is integrated within the multi-sensor architecture thanks to its important role in providing accurate estimates at high ranges from the landing pattern and during low-visibility operations. The reported statistics of the multi-sensor architecture performance are compared with the assumed required navigation performance in the scenarios of interest, demonstrating the radar contribution and showing the effects of designed radar angular resolution on the multi-sensor architecture.", "keywords": [ "Radar", "Computer science", "Radar engineering details", "Inertial navigation system", "Real-time computing", "Radar lock-on", "Man-portable radar", "3D radar", "GNSS applications", "Radar configurations and types", "Radar imaging", "Remote sensing" ], "cited_by_openalex": 5, "cited_by_scopus": "6", "eid": "2-s2.0-105003780486", "pii": null, "open_access_url": "https://doi.org/10.3390/s25082429", "sources": [ { "db": "openalex", "stream": "UAV", "query_id": "UAV-3" }, { "db": "scopus", "stream": "UAV", "query_id": "UAV-3" } ], "streams": [ "UAV" ], "relevance_signals": [ "UAV_NO_CTX" ], "auto_exclude_reason": "EC-4-topic", "screening_status": "auto_excluded", "screened_by": "auto-v1.0.0" }, { "id": "doi:10.1016/j.trc.2024.104978", "doi": "10.1016/j.trc.2024.104978", "title": "Analytical model for large-scale design of sidewalk delivery robot systems with bounded makespans", "year": 2025, "authors": [ "Yang H." ], "first_author": "Yang H.", "venue": "Transportation Research Part C Emerging Technologies", "volume": "171", "pages": null, "type": "Article", "language": null, "abstract": null, "keywords": [], "cited_by_openalex": 0, "cited_by_scopus": "6", "eid": "2-s2.0-85212408606", "pii": "S0968090X24004996", "open_access_url": null, "sources": [ { "db": "scopus", "stream": "TRUCK", "query_id": "TRUCK-2" } ], "streams": [ "TRUCK" ], "relevance_signals": [ "NO_TECHNOLOGY_MATCH" ], "auto_exclude_reason": "EC-4-topic", "screening_status": "auto_excluded", "screened_by": "auto-v1.0.0" }, { "id": "doi:10.1155/atr/8859606", "doi": "10.1155/atr/8859606", "title": "Trends and Advances in Urban Logistics Research: A Systematic Literature Review", "year": 2025, "authors": [ "Ramírez-Villamil A." ], "first_author": "Ramírez-Villamil A.", "venue": "Journal of Advanced Transportation", "volume": "2025", "pages": null, "type": "Review", "language": null, "abstract": null, "keywords": [], "cited_by_openalex": 0, "cited_by_scopus": "6", "eid": "2-s2.0-105009524720", "pii": null, "open_access_url": null, "sources": [ { "db": "scopus", "stream": "TRUCK", "query_id": "TRUCK-2" } ], "streams": [ "TRUCK" ], "relevance_signals": [ "NO_TECHNOLOGY_MATCH" ], "auto_exclude_reason": "EC-4-topic", "screening_status": "auto_excluded", "screened_by": "auto-v1.0.0" }, { "id": "doi:10.1016/j.rtbm.2025.101404", "doi": "10.1016/j.rtbm.2025.101404", "title": "Queuing theory for efficient drone dispatch in healthcare logistics: An empirical analysis of system performance", "year": 2025, "authors": [ "Lakhwani T.S." ], "first_author": "Lakhwani T.S.", "venue": "Research in Transportation Business and Management", "volume": "61", "pages": null, "type": "Article", "language": null, "abstract": null, "keywords": [], "cited_by_openalex": 0, "cited_by_scopus": "6", "eid": "2-s2.0-105004678992", "pii": "S2210539525001191", "open_access_url": null, "sources": [ { "db": "scopus", "stream": "UAV", "query_id": "UAV-1" } ], "streams": [ "UAV" ], "relevance_signals": [ "UAV_NO_CTX" ], "auto_exclude_reason": "EC-4-topic", "screening_status": "auto_excluded", "screened_by": "auto-v1.0.0" }, { "id": "doi:10.1080/00207543.2024.2443795", "doi": "10.1080/00207543.2024.2443795", "title": "Request prompt response in same-day delivery problem with drone resupply", "year": 2025, "authors": [ "Xiao J." ], "first_author": "Xiao J.", "venue": "International Journal of Production Research", "volume": "63", "pages": "4845-4863", "type": "Article", "language": null, "abstract": null, "keywords": [], "cited_by_openalex": 0, "cited_by_scopus": "6", "eid": "2-s2.0-85213246563", "pii": null, "open_access_url": null, "sources": [ { "db": "scopus", "stream": "UAV", "query_id": "UAV-2" } ], "streams": [ "UAV" ], "relevance_signals": [ "UAV_NO_CTX" ], "auto_exclude_reason": "EC-4-topic", "screening_status": "auto_excluded", "screened_by": "auto-v1.0.0" }, { "id": "doi:10.1109/mis.2024.3439535", "doi": "10.1109/mis.2024.3439535", "title": "Large-Scale Package Deliveries With Unmanned Aerial Vehicles Using Collective Learning", "year": 2025, "authors": [ "Narayanan A." ], "first_author": "Narayanan A.", "venue": "IEEE Intelligent Systems", "volume": "40", "pages": "53-62", "type": "Article", "language": null, "abstract": null, "keywords": [], "cited_by_openalex": 0, "cited_by_scopus": "6", "eid": "2-s2.0-105002270203", "pii": null, "open_access_url": null, "sources": [ { "db": "scopus", "stream": "UAV", "query_id": "UAV-2" } ], "streams": [ "UAV" ], "relevance_signals": [ "UAV" ], "auto_exclude_reason": null, "screening_status": "pending_human_screening", "screened_by": "auto-v1.0.0" }, { "id": "doi:10.1109/tmc.2025.3556091", "doi": "10.1109/tmc.2025.3556091", "title": "Digital Twin Empowered mmWave Multi-Hop V2X Routing Scheme With UAV Assistance", "year": 2025, "authors": [ "Zhou T." ], "first_author": "Zhou T.", "venue": "IEEE Transactions on Mobile Computing", "volume": "24", "pages": "8272-8286", "type": "Article", "language": null, "abstract": null, "keywords": [], "cited_by_openalex": 0, "cited_by_scopus": "6", "eid": "2-s2.0-105001955438", "pii": null, "open_access_url": null, "sources": [ { "db": "scopus", "stream": "UAV", "query_id": "UAV-2" } ], "streams": [ "UAV" ], "relevance_signals": [ "UAV_NO_CTX" ], "auto_exclude_reason": "EC-4-topic", "screening_status": "auto_excluded", "screened_by": "auto-v1.0.0" }, { "id": "doi:10.3390/app152211901", "doi": "10.3390/app152211901", "title": "Demand Assessment and Integration Feasibility Analysis for Advanced and Urban Air Mobility in Illinois", "year": 2025, "authors": [ "Volakakis V." ], "first_author": "Volakakis V.", "venue": "Applied Sciences Switzerland", "volume": "15", "pages": null, "type": "Article", "language": null, "abstract": null, "keywords": [], "cited_by_openalex": 0, "cited_by_scopus": "6", "eid": "2-s2.0-105022887476", "pii": null, "open_access_url": null, "sources": [ { "db": "scopus", "stream": "UAV", "query_id": "UAV-3" } ], "streams": [ "UAV" ], "relevance_signals": [ "NO_TECHNOLOGY_MATCH" ], "auto_exclude_reason": "EC-4-topic", "screening_status": "auto_excluded", "screened_by": "auto-v1.0.0" }, { "id": "doi:10.1007/s13272-024-00754-6", "doi": "10.1007/s13272-024-00754-6", "title": "HorizonUAM: operational challenges and necessary frameworks to ensure safe and efficient vertidrome operations", "year": 2025, "authors": [ "Schweiger K." ], "first_author": "Schweiger K.", "venue": "Ceas Aeronautical Journal", "volume": "16", "pages": "713-728", "type": "Article", "language": null, "abstract": null, "keywords": [], "cited_by_openalex": 0, "cited_by_scopus": "6", "eid": "2-s2.0-85192257948", "pii": null, "open_access_url": null, "sources": [ { "db": "scopus", "stream": "UAV", "query_id": "UAV-3" } ], "streams": [ "UAV" ], "relevance_signals": [ "NO_TECHNOLOGY_MATCH" ], "auto_exclude_reason": "EC-4-topic", "screening_status": "auto_excluded", "screened_by": "auto-v1.0.0" }, { "id": "title:a numerical study of synthetic turbulence interaction with unsteady vertiport environment", "doi": null, "title": "A Numerical Study of Synthetic Turbulence Interaction with Unsteady Vertiport Environment", "year": 2025, "authors": [ "Maleki A." ], "first_author": "Maleki A.", "venue": "Vertical Flight Society 81st Annual Forum and Technology Display", "volume": null, "pages": null, "type": "Conference Paper", "language": null, "abstract": null, "keywords": [], "cited_by_openalex": 0, "cited_by_scopus": "6", "eid": "2-s2.0-105010343345", "pii": null, "open_access_url": null, "sources": [ { "db": "scopus", "stream": "UAV", "query_id": "UAV-3" } ], "streams": [ "UAV" ], "relevance_signals": [ "UAV_NO_CTX" ], "auto_exclude_reason": "EC-4-topic", "screening_status": "auto_excluded", "screened_by": "auto-v1.0.0" }, { "id": "doi:10.1111/itor.70045", "doi": "10.1111/itor.70045", "title": "Collaborative delivery problem of trucks and multiple drones: an en‐route operation with flexible launch positions", "year": 2025, "authors": [ "Bing Han", "Tianze Chi", "Zhengyi Sun" ], "first_author": "Bing Han", "venue": "International Transactions in Operational Research", "volume": "33", "pages": "4072-4109", "type": "article", "language": "en", "abstract": "Abstract Drones are gradually being used in logistics, and collaborative systems combining trucks and drones are proposed for last‐mile delivery. Therefore, it is a meaningful study to improve the efficiency of collaborative delivery of truck–drone system. Based on the truck–drone collaborative delivery problem with en‐route operations, this paper introduces a new concept of flexible launch point, which is to set up multiple non‐customer stops in the truck's route for launching drones. In light of this concept, an en‐route operation with flexible positions in the truck–drone collaborative delivery problem is proposed. The problem is formulated as a mixed integer linear program that aims to minimize customer waiting times, determine the optimal route for the truck with multi‐drones, and establish the optimal flexible launch positions for the drones. We developed a variable neighborhood search algorithm and conducted large‐scale experiments. The experiments have demonstrated that the new collaborative approach maximizes drone utilization, expands the range of drone services, and ensures flexible launch. The en‐route operation with flexible launch positions presented in this paper provides innovative ideas for further application of trucks with multi‐drones in last‐mile delivery. This is also relevant for other scenarios, such as emergency management and routine inspections, which involve collaboration between trucks and drones.", "keywords": [ "Drone", "Truck", "Computer science", "Aeronautics", "Operations research", "Aerospace engineering", "Engineering" ], "cited_by_openalex": 8, "cited_by_scopus": "5", "eid": "2-s2.0-105004314686", "pii": null, "open_access_url": "https://onlinelibrary.wiley.com/doi/pdfdirect/10.1111/itor.70045", "sources": [ { "db": "openalex", "stream": "TRUCK", "query_id": "TRUCK-1" }, { "db": "openalex", "stream": "UAV", "query_id": "UAV-1" }, { "db": "scopus", "stream": "TRUCK", "query_id": "TRUCK-1" }, { "db": "scopus", "stream": "UAV", "query_id": "UAV-1" } ], "streams": [ "TRUCK", "UAV" ], "relevance_signals": [ "UAV_NO_CTX", "TRUCK_NO_CTX" ], "auto_exclude_reason": "EC-4-topic", "screening_status": "auto_excluded", "screened_by": "auto-v1.0.0" }, { "id": "doi:10.3390/math13071210", "doi": "10.3390/math13071210", "title": "Low-Carbon Transport for Prefabricated Buildings: Optimizing Capacitated Truck–Trailer Routing Problem with Time Windows", "year": 2025, "authors": [ "Jiajie Zhou", "Qiang Du", "Qian Chen", "Zhongnan Ye", "Libiao Bai", "Yi Li" ], "first_author": "Jiajie Zhou", "venue": "Mathematics", "volume": "13", "pages": null, "type": "article", "language": "en", "abstract": "The transportation of prefabricated components is challenged by the particularity of large cargo transport and urban road conditions, restrictions on parking, height, and weight. To address these challenges and to promote low-carbon logistics, this paper investigates the transportation of prefabricated components by leveraging separable fleets of trucks and trailers. Focusing on real-world constraints, this paper formulates the capacitated truck and trailer routing problem with time windows (CTTRPTW) incorporating carbon emissions, and designs a dynamic adaptive hybrid algorithm combining simulated annealing with tabu search (DASA-TS) to solve this model. The efficiency and robustness of the methodology are validated through two computational experiments. The results indicate that the DASA-TS consistently demonstrates excellent performance across all evaluations, with significant reductions in both transportation costs and carbon emissions costs for prefabricated components, particularly in large-scale computational instances. This study contributes to promoting the optimization of low-carbon transport for prefabricated components, offering guidance for routing design involving complex and large cargo, and supporting the sustainable development of urban logistics.", "keywords": [ "Trailer", "Truck", "Vehicle routing problem", "Routing (electronic design automation)", "Computer science", "Transport engineering", "Automotive engineering", "Engineering", "Computer network" ], "cited_by_openalex": 4, "cited_by_scopus": "5", "eid": "2-s2.0-105002436569", "pii": null, "open_access_url": "https://www.mdpi.com/2227-7390/13/7/1210/pdf?version=1744021763", "sources": [ { "db": "openalex", "stream": "TRUCK", "query_id": "TRUCK-1" }, { "db": "scopus", "stream": "TRUCK", "query_id": "TRUCK-1" } ], "streams": [ "TRUCK" ], "relevance_signals": [ "TRUCK" ], "auto_exclude_reason": null, "screening_status": "pending_human_screening", "screened_by": "auto-v1.0.0" }, { "id": "doi:10.30574/ijsra.2025.14.1.0117", "doi": "10.30574/ijsra.2025.14.1.0117", "title": "The future of autonomous vehicles and drones in supply chain delivery", "year": 2025, "authors": [ "Oluwole Raphael Odumbo", "Enyinnaya Prince Onuma" ], "first_author": "Oluwole Raphael Odumbo", "venue": "International Journal of Science and Research Archive", "volume": null, "pages": null, "type": "article", "language": "en", "abstract": "The integration of autonomous vehicles and drones into supply chain delivery systems is transforming logistics and redefining last-mile delivery. With advancements in artificial intelligence, robotics, and Internet of Things (IoT) technologies, these innovations promise significant cost savings, enhanced efficiency, and reduced environmental impact. Autonomous vehicles, including self-driving trucks, are reshaping long-haul transportation by optimizing routes, minimizing fuel consumption, and mitigating driver shortages. Simultaneously, drones are revolutionizing urban and rural delivery by enabling rapid, contactless transportation of goods in challenging terrains and congested areas. Together, these technologies represent a paradigm shift toward a more efficient and sustainable supply chain ecosystem. However, the adoption of autonomous vehicles and drones raises significant challenges. Regulatory hurdles, infrastructure limitations, and safety concerns remain key barriers to widespread implementation. Additionally, issues of cybersecurity, privacy, and public acceptance must be addressed to ensure successful deployment. From an operational perspective, integrating autonomous technologies with existing supply chain systems requires careful coordination and investment in infrastructure and workforce reskilling. This study examines the future trajectory of autonomous vehicles and drones in supply chain delivery, focusing on their transformative potential and the obstacles they face. By analysing case studies and industry trends, the research identifies best practices and strategic frameworks for leveraging these technologies. The findings highlight the importance of collaborative efforts between policymakers, technology developers, and industry stakeholders in creating a regulatory and operational environment conducive to innovation. Ultimately, this research underscores the need for a balanced approach to harness the benefits of autonomy while addressing its associated challenges.", "keywords": [ "Drone", "Supply chain", "Business", "Chain (unit)", "Computer science", "Marketing", "Biology", "Physics" ], "cited_by_openalex": 5, "cited_by_scopus": 0, "eid": null, "pii": null, "open_access_url": "https://journalijsra.com/sites/default/files/fulltext_pdf/IJSRA-2025-0117.pdf", "sources": [ { "db": "openalex", "stream": "TRUCK", "query_id": "TRUCK-1" }, { "db": "openalex", "stream": "UAV", "query_id": "UAV-1" } ], "streams": [ "TRUCK", "UAV" ], "relevance_signals": [ "UAV", "TRUCK" ], "auto_exclude_reason": null, "screening_status": "pending_human_screening", "screened_by": "auto-v1.0.0" }, { "id": "doi:10.2139/ssrn.5022211", "doi": "10.2139/ssrn.5022211", "title": "Integrating ESG Principles into Smart Logistics: Toward Sustainable Supply Chains", "year": 2025, "authors": [ "Leogrande Angelo" ], "first_author": "Leogrande Angelo", "venue": "SSRN Electronic Journal", "volume": null, "pages": null, "type": "preprint", "language": "en", "abstract": null, "keywords": [ "Download", "Supply chain", "Computer science", "World Wide Web", "Business", "Computer security", "Internet privacy", "Marketing" ], "cited_by_openalex": 5, "cited_by_scopus": 0, "eid": null, "pii": null, "open_access_url": "https://doi.org/10.2139/ssrn.5022211", "sources": [ { "db": "openalex", "stream": "TRUCK", "query_id": "TRUCK-1" } ], "streams": [ "TRUCK" ], "relevance_signals": [ "NO_TECHNOLOGY_MATCH" ], "auto_exclude_reason": "EC-4-topic", "screening_status": "auto_excluded", "screened_by": "auto-v1.0.0" }, { "id": "doi:10.1109/ojits.2025.3649932", "doi": "10.1109/ojits.2025.3649932", "title": "Dynamic Vehicle Routing Optimization for Urban Distribution Under Real-Time Demand Fluctuations", "year": 2025, "authors": [ "Hashim Hashim Armayau", "Jiani Wu", "Wajahat Akbar", "Shuguang Li", "Altaf Hussain", "Insaf Ullah", "Tariq Hussain", "Mehmood Alam", "Weiwei Jiang" ], "first_author": "Hashim Hashim Armayau", "venue": "IEEE Open Journal of Intelligent Transportation Systems", "volume": "7", "pages": "313-336", "type": "article", "language": "en", "abstract": "With the rapid rise of e-commerce, the logistics and distribution industry is experiencing unprecedented growth. In particular, intra-city distribution is the crucial “last mile\" of logistics and plays a decisive role in determining overall customer satisfaction. This study improves an inclusive vehicle routing optimization framework for intra-city distribution under dynamic demand. The initiative of a novel memetic algorithm that efficiently solves the NP-hard dynamic vehicle routing problem while guaranteeing high service quality and cost reduction. However, modern intercity distribution systems often struggle with low information, unpredictable demand patterns, and high operational costs due to scattered customer locations and dynamic order information. Addressing these challenges, this study suggests a comprehensive and intelligent vehicle routing optimization framework tailored for intracity distribution under dynamic demand conditions. The proposed system begins with a grey prediction model for short-term demand forecasting across many distribution regions, permitting differentiated vehicle loading methods to optimize transportation costs and improve operational effectiveness. Building upon this, a dynamic vehicle routing optimization model is formulated to reduce costs while assuring high levels of customer satisfaction within strict delivery time windows. To competently manage fluctuating demand, a dynamic information processing approach is introduced; prioritizing customer needs based on their urgency and importance, thereby guaranteeing the timely delivery of critical orders with minimal computational overhead. Moreover, a novel memetic algorithm is considered to solve the complex NP-hard dynamic vehicle routing problem. This algorithm integrates an adaptive elite genetic algorithm for global search with improved crossover and mutation operators, improved by local search methods such as 2-opt and swap methods to refine solutions. Numerical experiments validate the feasibility and performance of the proposed method, indicating significant improvements over conventional fully loaded vehicle schemes and regular route update methods. The results highlight the practical value of the system in attractive intra-city logistics efficiency, reducing costs, and inspiring customer service standards.", "keywords": [ "Vehicle routing problem", "Memetic algorithm", "Routing (electronic design automation)", "Crossover", "Dynamic pricing", "Genetic algorithm", "Multi-objective optimization", "Customer satisfaction", "Optimization problem" ], "cited_by_openalex": 6, "cited_by_scopus": "5", "eid": "2-s2.0-105029559676", "pii": null, "open_access_url": "https://doi.org/10.1109/ojits.2025.3649932", "sources": [ { "db": "openalex", "stream": "TRUCK", "query_id": "TRUCK-2" }, { "db": "scopus", "stream": "TRUCK", "query_id": "TRUCK-2" } ], "streams": [ "TRUCK" ], "relevance_signals": [ "NO_TECHNOLOGY_MATCH" ], "auto_exclude_reason": "EC-4-topic", "screening_status": "auto_excluded", "screened_by": "auto-v1.0.0" }, { "id": "doi:10.1016/j.tranpol.2025.01.023", "doi": "10.1016/j.tranpol.2025.01.023", "title": "Last mile urban freight delivery: A new system based on platoons of automated vehicles", "year": 2025, "authors": [ "Marino Lupi", "Dorothée Conte", "Alessandro Farina" ], "first_author": "Marino Lupi", "venue": "Transport Policy", "volume": "164", "pages": "42-59", "type": "article", "language": "en", "abstract": null, "keywords": [ "Mile", "Transport engineering", "Last mile (transportation)", "Vehicle miles of travel", "Aeronautics", "Automotive engineering", "Engineering", "Computer science", "Business", "Geography" ], "cited_by_openalex": 6, "cited_by_scopus": "5", "eid": "2-s2.0-85216450348", "pii": "S0967070X2500023X", "open_access_url": "https://www.sciencedirect.com/science/article/abs/pii/S0967070X2500023X?via=ihub", "sources": [ { "db": "openalex", "stream": "TRUCK", "query_id": "TRUCK-2" }, { "db": "scopus", "stream": "TRUCK", "query_id": "TRUCK-2" } ], "streams": [ "TRUCK" ], "relevance_signals": [ "NO_TECHNOLOGY_MATCH" ], "auto_exclude_reason": "EC-4-topic", "screening_status": "auto_excluded", "screened_by": "auto-v1.0.0" }, { "id": "doi:10.1016/j.ejor.2025.10.008", "doi": "10.1016/j.ejor.2025.10.008", "title": "A hybrid urban delivery system with robots", "year": 2025, "authors": [ "Shaohua Yu", "Ann Melissa Campbell", "Jan Fabian Ehmke", "Jakob Puchinger" ], "first_author": "Shaohua Yu", "venue": "European Journal of Operational Research", "volume": "331", "pages": "441-461", "type": "article", "language": "en", "abstract": null, "keywords": [ "Truck", "Robot", "Hybrid system", "Delivery Performance", "Distribution (mathematics)", "Sensitivity (control systems)", "Delivery system" ], "cited_by_openalex": 5, "cited_by_scopus": "5", "eid": "2-s2.0-105018593355", "pii": "S0377221725008094", "open_access_url": "https://hal.science/hal-05307302v1/document", "sources": [ { "db": "openalex", "stream": "TRUCK", "query_id": "TRUCK-2" }, { "db": "openalex", "stream": "TRUCK", "query_id": "TRUCK-3" }, { "db": "scopus", "stream": "TRUCK", "query_id": "TRUCK-3" } ], "streams": [ "TRUCK" ], "relevance_signals": [ "TRUCK" ], "auto_exclude_reason": null, "screening_status": "pending_human_screening", "screened_by": "auto-v1.0.0" }, { "id": "doi:10.1016/j.trd.2025.105046", "doi": "10.1016/j.trd.2025.105046", "title": "Hydrogen cargo bikes as a data-driven solution for last-mile decarbonization", "year": 2025, "authors": [ "Sevket Oguz Kagan Capkin" ], "first_author": "Sevket Oguz Kagan Capkin", "venue": "Transportation Research Part D Transport and Environment", "volume": "149", "pages": null, "type": "article", "language": "en", "abstract": "The growing demand for low-emission urban freight has intensified efficiency challenges in last-mile delivery, especially in dense city centres. This study assesses hydrogen-powered cargo bikes as a scalable, zero-emission alternative to fossil fuel vans and battery-electric cargo bikes. Using real-world logistics data from Rome, we apply simulation models including Monte Carlo cost analysis, Artificial Intelligence driven routing, K-means station placement, and fleet scaling. Results show hydrogen bikes deliver 15% more parcels daily than electric counterparts, reduce refuelling detours by 31.4%, and lower per-trip fuel use by 32%. They can cut up to 120 metric tons of CO 2 annually per 100-bike fleet. While battery-electric cargo bikes remain optimal for short trips, hydrogen bikes offer superior uptime, range, and rapid refuelling—ideal for high-frequency, mid-distance logistics. Under supportive pricing and infrastructure, hydrogen cargo bikes represent a resilient and sustainable solution for decarbonizing last-mile delivery in city areas.", "keywords": [ "Hydrogen vehicle", "Tonne", "Monte Carlo method", "Sustainable transport", "Hydrogen", "Fossil fuel", "Miles per gallon gasoline equivalent" ], "cited_by_openalex": 4, "cited_by_scopus": "5", "eid": "2-s2.0-105019707295", "pii": "S1361920925004560", "open_access_url": "https://doi.org/10.1016/j.trd.2025.105046", "sources": [ { "db": "openalex", "stream": "TRUCK", "query_id": "TRUCK-2" }, { "db": "scopus", "stream": "TRUCK", "query_id": "TRUCK-1" }, { "db": "scopus", "stream": "TRUCK", "query_id": "TRUCK-2" } ], "streams": [ "TRUCK" ], "relevance_signals": [ "NO_TECHNOLOGY_MATCH" ], "auto_exclude_reason": "EC-4-topic", "screening_status": "auto_excluded", "screened_by": "auto-v1.0.0" }, { "id": "doi:10.1016/j.tre.2025.104607", "doi": "10.1016/j.tre.2025.104607", "title": "Predicting dwell time of logistics electric vehicles in urban last-mile delivery: A SHAP-based ensemble approach", "year": 2025, "authors": [ "Irfan Ullah", "Muhammad Asim Ayaz", "Minghui Zhong", "Xiyan Mao", "Quan Yuan" ], "first_author": "Irfan Ullah", "venue": "Transportation Research Part E Logistics and Transportation Review", "volume": null, "pages": null, "type": "article", "language": "en", "abstract": null, "keywords": [ "Dwell time", "Scheduling (production processes)", "Electric vehicle", "Key (lock)", "Sustainable transport", "Intelligent transportation system", "Energy (signal processing)", "Ensemble learning" ], "cited_by_openalex": 5, "cited_by_scopus": 0, "eid": null, "pii": null, "open_access_url": "https://doi.org/10.1016/j.tre.2025.104607", "sources": [ { "db": "openalex", "stream": "TRUCK", "query_id": "TRUCK-2" } ], "streams": [ "TRUCK" ], "relevance_signals": [ "NO_TECHNOLOGY_MATCH" ], "auto_exclude_reason": "EC-4-topic", "screening_status": "auto_excluded", "screened_by": "auto-v1.0.0" }, { "id": "doi:10.1016/j.eswa.2025.126757", "doi": "10.1016/j.eswa.2025.126757", "title": "Truck-multidrone same-day delivery strategies: On-road resupply vs depot return", "year": 2025, "authors": [ "David Sánchez-Wells", "José Luis Andrade-Pineda", "Pedro Luis González Rodríguez" ], "first_author": "David Sánchez-Wells", "venue": "Expert Systems with Applications", "volume": "272", "pages": null, "type": "article", "language": "en", "abstract": "This paper explores an enhanced two-waved same-day delivery (SDD) system that leverages a mothership truck equipped with multiple drones supported by an auxiliary “resupply” truck. Under standard SDD operations, this mothership truck, also capable of performing deliveries, must return to the depot to reload, incurring extra travel time and mileage. In contrast, the proposed resupply strategy enables the second delivery wave by dispatching a secondary vehicle to meet the mothership truck on-road, reloading parcels without interrupting ongoing deliveries by the drones. A single unified routing framework, the Genetic Algorithm with Iterated Estimations for Resupply (GAIER), is presented to optimise both strategies under two selectable criteria: minimising total service time or total truck mileage. In tests with benchmark networks of different sizes (20, 50, and 75 nodes), incorporating a resupply truck reduced every selected criterion when compared to the strategy where the mothership vehicle returns to the depot. Subsequent comparative analysis points an average reduction of 17 % in service time and 21 % in truck mileage while statistical analyses support the strategy choice significancy, confirming resupply strategy’s potential for cost savings and reduced environmental impact. These findings bolster our proposition that incorporating a resupply truck into hybrid truck-multidrone systems enhances flexibility in drone delivery scheduling and improves the system’s ability to meet urban demand.", "keywords": [ "Depot", "Truck", "Computer science", "Automotive engineering", "Aeronautics", "Operations research", "Simulation", "Transport engineering", "Engineering", "History" ], "cited_by_openalex": 7, "cited_by_scopus": "5", "eid": "2-s2.0-85217682989", "pii": "S0957417425003793", "open_access_url": "https://doi.org/10.1016/j.eswa.2025.126757", "sources": [ { "db": "openalex", "stream": "TRUCK", "query_id": "TRUCK-3" }, { "db": "scopus", "stream": "TRUCK", "query_id": "TRUCK-1" }, { "db": "scopus", "stream": "TRUCK", "query_id": "TRUCK-3" }, { "db": "scopus", "stream": "UAV", "query_id": "UAV-1" } ], "streams": [ "TRUCK", "UAV" ], "relevance_signals": [ "UAV_NO_CTX", "TRUCK_NO_CTX" ], "auto_exclude_reason": "EC-4-topic", "screening_status": "auto_excluded", "screened_by": "auto-v1.0.0" }, { "id": "doi:10.1016/j.est.2025.117626", "doi": "10.1016/j.est.2025.117626", "title": "Low-carbon routing and charging planning for electric freight trucks utilizing local surplus solar power", "year": 2025, "authors": [ "Ryoji Miyabe", "Yu Fujimoto", "Yasuhiro Hayashi" ], "first_author": "Ryoji Miyabe", "venue": "Journal of Energy Storage", "volume": "132", "pages": null, "type": "article", "language": "en", "abstract": "The decarbonization of freight transport via electric vehicles (EVs) is hampered not only by operational constraints but also by the CO 2 emission factor of charging electricity. This study addresses this challenge by proposing a novel Electric Vehicle Routing Problem (EVRP) framework that strategically absorbs local, spatiotemporally variable surplus photovoltaic (PV) power, based on transport-side access to surplus information. Unlike prior studies that passively assume the availability of renewable energy , our approach enables delivery operators to proactively adjust both the timing and location of charging in response to surplus forecasts, thereby optimizing charging behavior accordingly. Our primary innovation is a mixed-integer programming model with an objective function that directly minimizes CO 2 emissions by distinguishing between carbon-intensive grid power and low-carbon surplus PV based on smart metering data. The model optimizes delivery routes and en-route charging schedules by integrating day-ahead forecasts of regional surplus power. Through a data-driven case study in Utsunomiya, Japan , our method demonstrated a 16.6 % average reduction in CO 2 emissions from charging compared to conventional depot-only charging strategies. In high-surplus scenarios, reductions exceeded 60 %. Crucially, these reductions were achieved while satisfying delivery time window constraints and maintaining efficient routing in terms of total delivery time and travel distance. Our findings illustrate that commercial EV fleets can be leveraged as mobile assets to support local energy sustainability , providing a viable pathway to simultaneously decarbonize logistics and enhance grid stability.", "keywords": [ "Truck", "Automotive engineering", "Environmental science", "Transport engineering", "Engineering", "Business" ], "cited_by_openalex": 6, "cited_by_scopus": "5", "eid": "2-s2.0-105010228073", "pii": "S2352152X25023394", "open_access_url": "https://doi.org/10.1016/j.est.2025.117626", "sources": [ { "db": "openalex", "stream": "TRUCK", "query_id": "TRUCK-3" }, { "db": "scopus", "stream": "TRUCK", "query_id": "TRUCK-3" } ], "streams": [ "TRUCK" ], "relevance_signals": [ "TRUCK_NO_CTX" ], "auto_exclude_reason": "EC-4-topic", "screening_status": "auto_excluded", "screened_by": "auto-v1.0.0" }, { "id": "doi:10.1016/j.pdisas.2025.100411", "doi": "10.1016/j.pdisas.2025.100411", "title": "A combined fleet size and mix vehicle routing model for last-mile distribution in disaster relief", "year": 2025, "authors": [ "Katharina Eberhardt", "Florian Diehlmann", "Markus Lüttenberg", "Florian Klaus Kaiser", "Frank Schultmann" ], "first_author": "Katharina Eberhardt", "venue": "Progress in Disaster Science", "volume": "26", "pages": null, "type": "article", "language": "en", "abstract": "Disasters pose a significant challenge for last-mile operations, straining emergency logistics systems' ability to provide efficient aid and support. In this context, a Fleet Size and Mix Vehicle Routing Problem for Disaster Management (FSMVRP-DM) is formulated, incorporating a fleet composition decision tailored to the specifics of disaster relief logistics. The model aims to optimize routing and analyze fleet decisions to minimize the sum of operating costs and population deprivation costs. Moreover, a prioritization approach is introduced to monitor deprivation time during transport resource scarcity, adjusting routes periodically to prevent extended supply gaps and minimize suffering costs. In addition, a case study is conducted in the German state of Baden-Württemberg to illustrate the potential applicability of the model. The findings highlight the advantages of integrating diverse and innovative fleet types, such as drones, and prioritizing the supply of multiple demand points when resources are scarce. Overall, the research offers decision support for authorities by enhancing information transparency, facilitating resource management, strengthening the effectiveness of disaster response capabilities, and providing resilient and adaptive strategies for last-mile distribution. • Preparedness and adaptive strategies increase resilience in last-mile operations. • Optimal fleet decisions ensure timely response and strengthen delivery performance. • Diversifying fleet composition enhances cost efficiency and operational capability. • Strategic prioritization minimizes human suffering through improved demand coverage.", "keywords": [ "Mile", "Vehicle routing problem", "Transport engineering", "Distribution (mathematics)", "Last mile (transportation)", "Routing (electronic design automation)", "Business", "Computer science", "Engineering", "Geography", "Computer network", "Mathematics" ], "cited_by_openalex": 6, "cited_by_scopus": "5", "eid": "2-s2.0-85218498017", "pii": "S2590061725000080", "open_access_url": "https://doi.org/10.1016/j.pdisas.2025.100411", "sources": [ { "db": "openalex", "stream": "UAV", "query_id": "UAV-1" }, { "db": "openalex", "stream": "UAV", "query_id": "UAV-2" }, { "db": "scopus", "stream": "UAV", "query_id": "UAV-1" }, { "db": "scopus", "stream": "UAV", "query_id": "UAV-2" } ], "streams": [ "UAV" ], "relevance_signals": [ "UAV" ], "auto_exclude_reason": null, "screening_status": "pending_human_screening", "screened_by": "auto-v1.0.0" }, { "id": "doi:10.1111/itor.13590", "doi": "10.1111/itor.13590", "title": "Integrated speed optimization and multivisit drone routing: a mathematical programming approach", "year": 2025, "authors": [ "Mahla Meskar", "Amir Ahmadi Javid" ], "first_author": "Mahla Meskar", "venue": "International Transactions in Operational Research", "volume": "33", "pages": "1766-1805", "type": "article", "language": "en", "abstract": "Abstract This paper considers a last‐mile delivery system in which drones are used to deliver parcels to customers within a predefined delivery‐time limit, while drones can perform multiple multivisit trips. The effects of both drone speed and load weight are considered on energy consumption in all flight phases, including takeoff, cruise, hovering, and landing phases, using a realistic nonconvex formula. The problem determines the routes of the drones and their speeds during the cruise flight phases, with the aim of minimizing the total consumed energy. The paper initially examines the problem for the discrete case where the speeds are selected from a finite list of options. The initial formulation of the problem is a mixed‐integer nonlinear program that cannot be solved efficiently. Using a novel approach that changes the problem's input space, a mixed‐integer linear program is proposed and enhanced by valid inequalities. Utilizing an efficient preprocessing algorithm, the proposed linear formulation is able to solve problem instances with up to 100 customers. Next, the paper studies the problem for the continuous case in which the speeds can take values from a specified interval. It is first demonstrated how the continuous case can be solved optimally when no delivery‐time limit is imposed. Then, it is shown that the continuous case can be solved approximately using the discrete case. A method for computing the approximation error is also presented, which can be used to determine an appropriate level of discretization.", "keywords": [ "Drone", "Computer science", "Routing (electronic design automation)", "Mathematical optimization", "Computer network", "Mathematics" ], "cited_by_openalex": 6, "cited_by_scopus": "5", "eid": "2-s2.0-85217176577", "pii": null, "open_access_url": "https://doi.org/10.1111/itor.13590", "sources": [ { "db": "openalex", "stream": "UAV", "query_id": "UAV-1" }, { "db": "scopus", "stream": "UAV", "query_id": "UAV-1" }, { "db": "scopus", "stream": "UAV", "query_id": "UAV-2" } ], "streams": [ "UAV" ], "relevance_signals": [ "UAV_NO_CTX" ], "auto_exclude_reason": "EC-4-topic", "screening_status": "auto_excluded", "screened_by": "auto-v1.0.0" }, { "id": "doi:10.1371/journal.pone.0335614", "doi": "10.1371/journal.pone.0335614", "title": "Research on the optimization of delivery routes for vehicles with drones under no-fly zone restrictions", "year": 2025, "authors": [ "Yingbo Mao", "Guiqiong Jia" ], "first_author": "Yingbo Mao", "venue": "PLoS ONE", "volume": "20", "pages": null, "type": "article", "language": "en", "abstract": "With the rapid development of e-commerce, logistics and distribution systems face the dual pressures of efficiency improvement and cost control. Unmanned Aerial Vehicle (UAV) delivery, featuring flexibility, high efficiency, and low carbon emissions, has become an effective means to solve the \"last-mile\" problem. However, the widespread no-fly zones in urban environments (e.g., airports, government agencies, and high-voltage power lines) severely limit the application scope of UAVs and increase the complexity of path planning. Against this backdrop, the vehicle-assisted UAV collaborative delivery model has emerged: through the division of labor and collaboration between ground vehicles and UAVs, it not only expands the service radius of UAVs but also overcomes the constraints of no-fly zones, achieving dual improvements in delivery efficiency and service quality.This study focuses on the optimization of vehicle-assisted UAV delivery paths under no-fly zone constraints, aiming to construct a multi-objective optimization model that balances delivery costs, carbon emissions, and customer satisfaction, and to design an efficient solution algorithm for providing scientific decision support to logistics enterprises. First, the paper systematically sorts out the classification and definition of no-fly zones as well as their impact mechanisms on UAV path planning, and elaborates on the theoretical basis of vehicle-UAV collaborative delivery, including the constituent elements of the problem, methods for quantifying customer satisfaction, and the application framework of heuristic algorithms. On this basis, a mixed-integer programming model is built with the objectives of minimizing total cost, minimizing carbon emissions, and maximizing customer satisfaction. Given that this model falls into the category of NP-hard problems, we have designed a four-stage heuristic solution. First, an improved K-means algorithm (IKM) is used to cluster customer points under the constraint of the UAV's maximum flight radius, so as to determine vehicle parking points. Second, a multi-objective genetic algorithm is applied to plan UAV delivery routes for customers in open areas. Next, the multi-objective genetic algorithm is continued to design initial routes for vehicles between parking points. Finally, the multi-objective genetic algorithm is utilized again to plan delivery routes for customers in no-fly zones, ultimately forming a complete collaborative \"vehicle-UAV\" delivery scheme.To verify the effectiveness of the model and algorithm, simulation experiments are conducted using two sets of cases: 30 customer points in a local area of Harbin and the large-scale R201 case from the Solomon dataset. The results show that compared with traditional vehicle-only or UAV-only delivery models, the vehicle-UAV collaborative delivery model exhibits significant advantages in total cost, carbon emissions, and customer satisfaction; the model maintains good robustness in stability tests under different no-fly zone settings; and parameter sensitivity analysis further reveals the impact of key parameters (e.g., UAV load capacity, endurance, and vehicle load capacity) on delivery performance, providing practical references for logistics enterprises in equipment selection and operation strategy formulation.", "keywords": [ "Scope (computer science)", "Drone", "Dual (grammatical number)", "Service (business)", "Heuristic", "Customer satisfaction", "Linear programming", "Path (computing)" ], "cited_by_openalex": 5, "cited_by_scopus": "5", "eid": "2-s2.0-105020010663", "pii": null, "open_access_url": "https://journals.plos.org/plosone/article/file?id=10.1371/journal.pone.0335614&type=printable", "sources": [ { "db": "openalex", "stream": "UAV", "query_id": "UAV-1" }, { "db": "scopus", "stream": "UAV", "query_id": "UAV-1" } ], "streams": [ "UAV" ], "relevance_signals": [ "UAV" ], "auto_exclude_reason": null, "screening_status": "pending_human_screening", "screened_by": "auto-v1.0.0" }, { "id": "doi:10.1016/j.engappai.2025.112140", "doi": "10.1016/j.engappai.2025.112140", "title": "Emergency medical facility site selection in drone-based relief operations using an enhanced T-spherical fuzzy frank combined compromise solution method", "year": 2025, "authors": [ "Rajdip Mahajan", "Saptadeep Biswas", "Vladimir Šimić", "Dragan Stevan Pamucar", "Abhijit Baidya", "Uttam Kumar Bera" ], "first_author": "Rajdip Mahajan", "venue": "Engineering Applications of Artificial Intelligence", "volume": "161", "pages": null, "type": "article", "language": "en", "abstract": null, "keywords": [ "Weighting", "Compromise", "Fuzzy logic", "Emergency management", "Site selection", "Sensitivity (control systems)", "Selection (genetic algorithm)", "Disaster area", "Field (mathematics)" ], "cited_by_openalex": 8, "cited_by_scopus": "5", "eid": "2-s2.0-105015410860", "pii": "S0952197625021487", "open_access_url": "https://doi.org/10.1016/j.engappai.2025.112140", "sources": [ { "db": "openalex", "stream": "UAV", "query_id": "UAV-1" }, { "db": "scopus", "stream": "UAV", "query_id": "UAV-1" } ], "streams": [ "UAV" ], "relevance_signals": [ "UAV_NO_CTX" ], "auto_exclude_reason": "EC-4-topic", "screening_status": "auto_excluded", "screened_by": "auto-v1.0.0" }, { "id": "doi:10.3390/logistics9030111", "doi": "10.3390/logistics9030111", "title": "Planning of Logistic Networks with Automated Transport Drones: A Systematic Review of Application Areas, Planning Approaches, and System Performance", "year": 2025, "authors": [ "Lukas Ostermann", "Asrat Mekonnen Gobachew", "Andreas Schwung", "Stefan Lier" ], "first_author": "Lukas Ostermann", "venue": "Logistics", "volume": "9", "pages": null, "type": "review", "language": "en", "abstract": "Background: The increasing integration of automated transport drones into logistics networks presents transformative potential for addressing contemporary logistics challenges, particularly in last-mile delivery, healthcare, disaster response, urban mobility, and postal services. However, their effective integration into varied logistics contexts remains hindered by infrastructure, regulatory, and operational limitations. This study aims to explore how drone-based logistics systems can be systematically planned and evaluated across diverse operational environments. Methods: A structured literature review was conducted, employing thematic synthesis to analyze current research on drone logistics. The analysis focused on identifying the key planning dimensions and interrelated components that influence the deployment of drone-based transport systems. Results: The review identified seven central planning dimensions: areas of application, system components, transport configuration, geographic areas, optimization and analysis methods, logistical planning, and performance assessment. These dimensions inform a conceptual framework designed to guide the planning and assessment of drone logistics networks. Conclusions: While existing studies contribute valuable insights into route optimization and drone deployment strategies, they often overlook integrative approaches that account for societal and environmental factors. The study emphasizes the need for interdisciplinary collaboration and context-specific planning frameworks to enhance the sustainable and effective implementation of drone-based logistics systems.", "keywords": [ "Drone", "Computer science" ], "cited_by_openalex": 5, "cited_by_scopus": "5", "eid": "2-s2.0-105017014082", "pii": null, "open_access_url": "https://www.mdpi.com/2305-6290/9/3/111/pdf?version=1754655344", "sources": [ { "db": "openalex", "stream": "UAV", "query_id": "UAV-1" }, { "db": "scopus", "stream": "UAV", "query_id": "UAV-1" } ], "streams": [ "UAV" ], "relevance_signals": [ "UAV" ], "auto_exclude_reason": null, "screening_status": "pending_human_screening", "screened_by": "auto-v1.0.0" }, { "id": "doi:10.3390/su17051838", "doi": "10.3390/su17051838", "title": "Improving Small Parcel Delivery Efficiency and Sustainability: A Study of Lithuanian Private Delivery Company", "year": 2025, "authors": [ "Kristina Čižiūnienė", "Greta Draugelytė", "Edgar Sokolovskij", "Jonas Matijošius" ], "first_author": "Kristina Čižiūnienė", "venue": "Sustainability", "volume": "17", "pages": null, "type": "article", "language": "en", "abstract": "The paper provides an in-depth investigation of techniques for improving small parcel delivery services in a private logistics company, addressing significant difficulties in customer logistics service, particularly in the growing e-commerce industry. The study addresses a gap in the existing literature by assessing 170 documented customer complaints, with an emphasis on recurring issues such as improper delivery, delays, and damaged parcels. The methodological approach uses statistical tools to determine the magnitude of delivery challenges, integrating a review of the scientific literature with real data analysis. There are 28% complaints about faulty delivery and 26% about delays, according to the statistics. It is clear that systemic improvements are urgently needed. One strategy to improve service reliability and efficiency is to use automation technologies, such as drones, smart route optimization systems, and constant human training programs. While ensuring operational sustainability, these strategies aim to address the underlying causes of consumer dissatisfaction.", "keywords": [ "Lithuanian", "Sustainability", "Business", "Delivery system", "Environmental economics", "Industrial organization", "Engineering", "Economics" ], "cited_by_openalex": 3, "cited_by_scopus": "5", "eid": "2-s2.0-86000633603", "pii": null, "open_access_url": "https://www.mdpi.com/2071-1050/17/5/1838/pdf?version=1740142439", "sources": [ { "db": "openalex", "stream": "UAV", "query_id": "UAV-1" }, { "db": "scopus", "stream": "UAV", "query_id": "UAV-1" } ], "streams": [ "UAV" ], "relevance_signals": [ "UAV" ], "auto_exclude_reason": null, "screening_status": "pending_human_screening", "screened_by": "auto-v1.0.0" }, { "id": "doi:10.1108/aeat-04-2024-0114", "doi": "10.1108/aeat-04-2024-0114", "title": "Rotor position aerodynamics research of a hybrid configuration electric UAV", "year": 2025, "authors": [ "Xiaolu Wang", "Wei-Wei Liu", "Changning Chen", "Yingyu Liu" ], "first_author": "Xiaolu Wang", "venue": "Aircraft Engineering and Aerospace Technology", "volume": "97", "pages": "739-749", "type": "article", "language": "en", "abstract": "Purpose This study aims to conduct computational fluid dynamics analysis and design work on the aerodynamics of urban logistics hybrid configuration unmanned aerial vehicles (UAVs). The primary focus is on examining how the placement of the rotor in terms of chord, span and vertical positioning affects the aerodynamic properties of a hybrid configuration UAV. Design/methodology/approach A numerical approach is developed for analyzing the combined flow field of the rotor and airframe, based on the RANS equations. The aerodynamic performance of the hybrid configuration UAV was designed and analyzed using ANSYS Fluent software. Findings The findings of this study indicated that the placement of the rotor significantly affects the aerodynamic properties of the hybrid configuration UAV. Properly positioning the rotor can enhance the aerodynamic performance and the longitudinal static stability. Practical implications Conventional hybrid configuration UAVs exhibit numerous aerodynamic shortcomings during the hovering, forward flight, vertical take-off and landing and transition phases. This research paper presents and examines a novel hybrid configuration UAV that incorporates rotors into the hybrid configuration UAV airframe. This innovative aerodynamic arrangement mitigates or reduces the design defects observed in the hybrid configuration UAVs, thus laying the foundation for their development of hybrid configuration UAVs. Originality/value This study addresses the effect mechanism of rotor position on the aerodynamic interaction between rotor and airframe of a hybrid configuration UAV, in terms of the aerodynamic design of vertical take-off and landing UAV. The research presented a practical case and furtherly provided an insight into the aerodynamic design of a hybrid configuration vertical take-off and landing UAV.", "keywords": [ "Aerodynamics", "Rotor (electric)", "Position (finance)", "Aerospace engineering", "Engineering", "Computer science", "Mechanical engineering", "Aeronautics" ], "cited_by_openalex": 5, "cited_by_scopus": "5", "eid": "2-s2.0-105007670958", "pii": null, "open_access_url": "https://doi.org/10.1108/aeat-04-2024-0114", "sources": [ { "db": "openalex", "stream": "UAV", "query_id": "UAV-1" }, { "db": "scopus", "stream": "UAV", "query_id": "UAV-1" } ], "streams": [ "UAV" ], "relevance_signals": [ "UAV" ], "auto_exclude_reason": null, "screening_status": "pending_human_screening", "screened_by": "auto-v1.0.0" }, { "id": "doi:10.1016/j.ast.2025.111119", "doi": "10.1016/j.ast.2025.111119", "title": "Energy-efficient large-scale low-altitude delivery: Integrating charging station location and UAV route planning by a cascade optimization framework", "year": 2025, "authors": [ "Jinbo Li", "Xinyuan Ni", "Mingzhuang Hua", "Qin Wang", "Qunfang Wu", "Xiaopeng Zhao", "Miaokun Xu" ], "first_author": "Jinbo Li", "venue": "Aerospace Science and Technology", "volume": "168", "pages": null, "type": "article", "language": "en", "abstract": null, "keywords": [ "Route planning", "Scheduling (production processes)", "Cluster analysis", "Routing (electronic design automation)", "Key (lock)", "Obstacle", "Drone", "Charging station" ], "cited_by_openalex": 4, "cited_by_scopus": "5", "eid": "2-s2.0-105020907363", "pii": "S1270963825011824", "open_access_url": "https://doi.org/10.1016/j.ast.2025.111119", "sources": [ { "db": "openalex", "stream": "UAV", "query_id": "UAV-1" }, { "db": "scopus", "stream": "UAV", "query_id": "UAV-1" } ], "streams": [ "UAV" ], "relevance_signals": [ "UAV_NO_CTX" ], "auto_exclude_reason": "EC-4-topic", "screening_status": "auto_excluded", "screened_by": "auto-v1.0.0" }, { "id": "doi:10.1093/inthealth/ihaf018", "doi": "10.1093/inthealth/ihaf018", "title": "Left behind no more: ensuring equitable vaccine access to curb mpox in Africa", "year": 2025, "authors": [ "Obasanjo Afolabi Bolarinwa", "Aliu Mohammed", "Yusuff Adebayo Adebisi", "Oluwaseun Oyewo" ], "first_author": "Obasanjo Afolabi Bolarinwa", "venue": "International Health", "volume": null, "pages": null, "type": "article", "language": "en", "abstract": "Mpox, a zoonotic viral disease caused by the mpox virus (MPXV), has been endemic in Central and West Africa for decades, with transmission historically linked to animal-to-human contact and limited human-to-human spread.1 However, the 2022–2023 outbreak of clade IIb marked a turning point, with rapid global transmission predominantly via sexual contact, particularly among men who have sex with men (MSM) in non-endemic regions.2 Unlike past outbreaks, which were largely ignored by the global health community due to their localized nature, this outbreak spread across Europe, North America and South America, prompting immediate public health interventions, including targeted vaccination campaigns using smallpox-derived vaccines.3 Despite Africa's long-standing mpox burden, the response to this global outbreak once again exposed glaring inequalities in vaccine access. Countries in Europe and North America swiftly secured vaccines, leveraging their purchasing power and existing healthcare infrastructure, while African nations where mpox has been historically endemic were left behind.4 As of August 2024, >106 310 mpox cases have been recorded across 123 World Health Organization (WHO) member states, including 234 deaths.5 In Africa, 20 countries have reported cases, with the highest caseloads recorded in the Democratic Republic of the Congo (DRC), Burundi and Nigeria, yet vaccine access in these regions remains severely limited.5 The persistent disparities in vaccine distribution reflect the deep-rooted inequities in global health governance, where resource allocation continues to favour wealthier nations over regions with the greatest disease burden. The continuous spread of the virus led the WHO to declare it a public health emergency of international concern (PHEIC) on 14 August 2024.6 This declaration reinforces the urgent need for enhanced public health measures, particularly ensuring mpox vaccine equity, to curtail the increasing spread of the viral disease and minimize its burden globally. Vaccination remains one of the most essential public health strategies for controlling infectious diseases.7 While the planned deployment of the mpox vaccine to affected African countries could potentially curtail the current spread of the disease, the success of the timely mpox vaccine rollout in Africa remains unpredictable. Multiple factors contribute to this uncertainty. First, vaccine supply remains limited, as production is primarily concentrated in high-income countries, with minimal commitments to ensuring equitable distribution. Second, healthcare infrastructure limitations, including inadequate cold chain storage, trained healthcare workers and last-mile distribution networks, pose significant barriers to widespread vaccine accessibility, particularly in rural and remote regions. Third, funding constraints further complicate vaccine acquisition, as many African nations rely on external funding sources rather than having independent procurement mechanisms. Finally, a lack of global coordination in mpox vaccine procurement mirrors the failures seen with the coronavirus disease 2019 (COVID-19), where vaccine nationalism left low- and middle-income countries at a severe disadvantage. Without urgent intervention, these barriers will continue to hinder Africa's ability to respond effectively to the mpox outbreak. The COVID-19 pandemic exposed critical weaknesses in global health equity, many of which remain highly relevant to the mpox response. Both mpox and COVID-19 spread internationally, highlighting disparities in healthcare access and vaccine distribution. However, while COVID-19 is primarily airborne, mpox is transmitted mainly through close physical contact, with pre-existing smallpox-derived vaccines available but largely inaccessible in endemic African regions.3 The inequities observed during the COVID-19 vaccine rollout must serve as a lesson for improving the mpox response. COVID-19 saw wealthier nations monopolizing vaccine procurement, causing severe delays in access for African countries, a scenario that is now repeating with mpox. Additionally, the challenges of cold chain storage, healthcare worker shortages and last-mile vaccine delivery during the COVID-19 pandemic highlighted the need for innovative solutions, such as drone technology and mobile vaccination units, to improve accessibility, particularly in hard-to-reach communities.8 In the short term, measures for responding to the mpox outbreak must prioritize equitable vaccine access, efficient distribution logistics and community engagement. During the COVID-19 pandemic, wealthier nations monopolized vaccine procurement, leading to significant delays in access for African countries.7 To prevent a similar disparity, a globally coordinated framework should be implemented to ensure that mpox vaccines are distributed based on epidemiological need rather than financial capacity, with particular attention to ensuring that marginalized and high-risk populations are not excluded.9 Additionally, logistical barriers such as cold chain limitations and healthcare worker shortages, which hampered COVID-19 vaccine delivery in remote African regions, must be addressed.7 Innovative solutions, including drone technology and mobile vaccination units, could enhance accessibility to underserved populations. Equally crucial is community engagement, as vaccine hesitancy—exacerbated by misinformation and distrust of health authorities—was a major challenge during COVID-19 immunization efforts.10 Proactive public outreach and culturally tailored communication strategies are essential to fostering trust and ensuring the success of mpox vaccination campaigns. While short-term measures focus on an immediate response, medium-term strategies must strengthen system resilience to ensure a more equitable and effective mpox response. One key priority is inclusive research and development, as seen during COVID-19, where vaccine trials were largely conducted i", "keywords": [ "Business", "Development economics", "Economic growth", "Medicine", "Environmental health", "Economics" ], "cited_by_openalex": 5, "cited_by_scopus": 0, "eid": null, "pii": null, "open_access_url": "https://doi.org/10.1093/inthealth/ihaf018", "sources": [ { "db": "openalex", "stream": "UAV", "query_id": "UAV-1" } ], "streams": [ "UAV" ], "relevance_signals": [ "UAV" ], "auto_exclude_reason": null, "screening_status": "pending_human_screening", "screened_by": "auto-v1.0.0" }, { "id": "doi:10.1016/j.trb.2025.103335", "doi": "10.1016/j.trb.2025.103335", "title": "A dynamic drone routing problem with uncertain demand and energy consumption", "year": 2025, "authors": [ "Guilherme Oliveira Chagas", "Leandro Callegari Coelho", "Demetrio Laganà", "Patrizia Beraldi" ], "first_author": "Guilherme Oliveira Chagas", "venue": "Transportation Research Part B Methodological", "volume": "202", "pages": null, "type": "article", "language": "en", "abstract": "This work addresses a drone routing problem with an identical fleet performing same-day deliveries in a dynamic and uncertain environment. We model the problem as a Markov Decision Process to capture the stochastic nature of customer demand and the uncertainty in energy consumption due to varying payloads and weather conditions. To tackle this problem, we propose an approximate dynamic algorithm that integrates routing planning, drone usage, and battery management. Uncertainty in energy consumption is dealt with the chance constraints ensuring that drone trips are completed safely, preventing premature returns to the depot. The proposed approach features a cost function approximation policy that accounts for a restricted number of trips to be assigned to drones. This ensures that the drones are ready at the depot to fulfill new requests that may arise during the day. Extensive computational experiments on 300 instances validate the effectiveness of our method, demonstrating its superiority over a myopic strategy, a policy function approximation approach, and an oracle method, thus highlighting its potential for practical applications.", "keywords": [ "Drone", "Energy consumption", "Routing (electronic design automation)", "Consumption (sociology)", "Energy (signal processing)", "Dynamic programming", "Vehicle routing problem" ], "cited_by_openalex": 9, "cited_by_scopus": "5", "eid": "2-s2.0-105019186070", "pii": "S0191261525001845", "open_access_url": "https://doi.org/10.1016/j.trb.2025.103335", "sources": [ { "db": "openalex", "stream": "UAV", "query_id": "UAV-2" }, { "db": "scopus", "stream": "UAV", "query_id": "UAV-2" } ], "streams": [ "UAV" ], "relevance_signals": [ "UAV_NO_CTX" ], "auto_exclude_reason": "EC-4-topic", "screening_status": "auto_excluded", "screened_by": "auto-v1.0.0" }, { "id": "doi:10.1051/ro/2025119", "doi": "10.1051/ro/2025119", "title": "A literature review of drone-truck routing problems: challenges and future research directions", "year": 2025, "authors": [ "Enes Cengiz", "Cemal Yılmaz", "Hamdi Tolga Kahraman" ], "first_author": "Enes Cengiz", "venue": "RAIRO - Operations Research", "volume": "59", "pages": "3169-3205", "type": "article", "language": "en", "abstract": "In recent years, new routing problems with high complexity have emerged in parallel with the diversification of collaborative operational activities carried out by drones with ground vehicles. There are two main factors that affect the complexity level of these new generation routing problems. The first factor is the synchronization of vehicles with very different characteristics to optimally perform operational tasks. The second factor is that unlike traditional routing problems such as transportation and logistics, healthcare, military and emergency operations, new generation problems have more complex objective and constraint spaces. In traditional routing problems, customers are represented by fixed points in a two-dimensional search space. In contrast, in agricultural spraying, which is a new generation routing problem, the areas to be sprayed are represented by irregular areas. The objective and constraint functions in next generation routing problems are specified as area-based rather than point-based because of this difference. This increases the geometric complexity of the objective and constraint spaces in next generation routing problems. This paper analyzes 108 publications on traditional and next generation routing problems published between 2015 and 2024. A comprehensive review of routing problems based on drone-truck cooperation is provided according to their application areas, mathematical models, and solution methods. Unlike the review studies in the literature, new routing problems in the field of agriculture are also included in this research and the mathematical complexity of these problems is presented for the first time. Current trends for future research on drone-truck based problems are discussed.", "keywords": [ "Drone", "Truck", "Routing (electronic design automation)", "Computer science", "Operations research", "Aeronautics", "Engineering", "Aerospace engineering", "Computer network" ], "cited_by_openalex": 5, "cited_by_scopus": "5", "eid": "2-s2.0-105020037714", "pii": null, "open_access_url": "https://doi.org/10.1051/ro/2025119", "sources": [ { "db": "openalex", "stream": "UAV", "query_id": "UAV-2" }, { "db": "scopus", "stream": "UAV", "query_id": "UAV-2" } ], "streams": [ "UAV" ], "relevance_signals": [ "UAV_NO_CTX", "TRUCK_NO_CTX" ], "auto_exclude_reason": "EC-4-topic", "screening_status": "auto_excluded", "screened_by": "auto-v1.0.0" }, { "id": "doi:10.3390/drones9030200", "doi": "10.3390/drones9030200", "title": "E²VRP-CPP: An Energy-Efficient Approach for Multi-UAV Multi-Region Coverage Path Planning Optimization in the Enhanced Vehicle Routing Problem", "year": 2025, "authors": [ "Yuechao Zang", "Xueqin Huang", "Min Lu", "Qianzhen Zhang", "Xianqiang Zhu" ], "first_author": "Yuechao Zang", "venue": "Drones", "volume": "9", "pages": null, "type": "article", "language": "en", "abstract": "Unmanned Aerial Vehicles (UAVs) are widely used in applications such as land assessment, surveillance, and rescue operations, where they are often required to cover multiple disjoint regions. Coverage Path Planning (CPP) aims to determine optimal paths for UAVs to cover these areas. While CPP for single regions has been extensively studied, multi-region CPP with multiple UAVs remains underexplored. Existing methods typically focus on minimizing path length, but often neglect the nonlinear variations in energy consumption during flight, limiting their practical applicability. This paper addresses the multi-UAV, multi-region CPP as a variant of the Vehicle Routing Problem (VRP) with energy estimation. We propose an approach that optimizes UAV flight speeds to minimize energy consumption, supported by an accurate energy estimation algorithm. In addition, a heuristic algorithm is developed to balance the distribution of tasks among UAVs, considering both the scanning and transit times. Experiments using real-world data from the Changsha urban area demonstrate that our approach outperforms state-of-the-art methods in computational efficiency and energy savings, highlighting its potential for practical UAV deployment.", "keywords": [ "Vehicle routing problem", "Computer science", "Routing (electronic design automation)", "Path (computing)", "Route planning", "Mathematical optimization", "Engineering", "Transport engineering", "Computer network", "Mathematics" ], "cited_by_openalex": 6, "cited_by_scopus": "5", "eid": "2-s2.0-105000901075", "pii": null, "open_access_url": "https://doi.org/10.3390/drones9030200", "sources": [ { "db": "openalex", "stream": "UAV", "query_id": "UAV-2" }, { "db": "scopus", "stream": "UAV", "query_id": "UAV-2" } ], "streams": [ "UAV" ], "relevance_signals": [ "UAV_NO_CTX" ], "auto_exclude_reason": "EC-4-topic", "screening_status": "auto_excluded", "screened_by": "auto-v1.0.0" }, { "id": "doi:10.1080/00207543.2025.2512445", "doi": "10.1080/00207543.2025.2512445", "title": "On-demand heterogeneous drone delivery problem", "year": 2025, "authors": [ "Xupeng Wen", "Zhiguang Cao", "Shu Xu", "Dapeng Ren", "Guohua Wu", "Yaoxin Wu" ], "first_author": "Xupeng Wen", "venue": "International Journal of Production Research", "volume": null, "pages": null, "type": "article", "language": "en", "abstract": "In the on-demand problem domain, actual demand frequently deviates from the expected demand. This paper intricately delves into the exploration of on-demand heterogeneous multi-drone routing problem (ODHDRP), in which a transport drone carries multiple terminal drones to subregions in the first echelon, and the terminal drones deliver parcels during a flight trip to customers with demands in subregions to maintain economies of scale in the second echelon. We formulate the customer demands using a normal distribution, and exploit a reliability model of customer demands with chance constraints. To solve the ODHDRP efficiently, we propose a hybrid iterative optimisation heuristic (HIOH) approach. Firstly, a clustering algorithm considering the drone's payload is designed to divide the customer-region into several subregions. Subsequently, the dynamic programming algorithm is introduced to generate the initial route to each subregion. Secondly, an iterative optimisation algorithm with heuristic operators and reliability-based strategies is designed to handle the chance constraints and optimise the routes. The experiments substantiate the superior performance of the proposed method in contrast to baseline algorithms. Moreover, the sensitivity of key factors in the proposed model is analysed and several managerial insights are derived.", "keywords": [ "Drone", "Computer science", "On demand", "Operations research", "Engineering" ], "cited_by_openalex": 5, "cited_by_scopus": "5", "eid": "2-s2.0-105007421417", "pii": null, "open_access_url": "https://doi.org/10.1080/00207543.2025.2512445", "sources": [ { "db": "openalex", "stream": "UAV", "query_id": "UAV-2" }, { "db": "scopus", "stream": "UAV", "query_id": "UAV-2" } ], "streams": [ "UAV" ], "relevance_signals": [ "UAV_NO_CTX" ], "auto_exclude_reason": "EC-4-topic", "screening_status": "auto_excluded", "screened_by": "auto-v1.0.0" }, { "id": "doi:10.1016/j.cor.2025.107324", "doi": "10.1016/j.cor.2025.107324", "title": "An enhanced dual-population NSGA-II for solving multi-objective emergency supplies dispatch problem based on truck-drone-dispatch vehicle collaboration", "year": 2025, "authors": [ "Qin Guo", "Ya Qiu", "Yong Shi", "Qiaoxian Zheng", "Haixiang Guo" ], "first_author": "Qin Guo", "venue": "Computers & Operations Research", "volume": "187", "pages": null, "type": "article", "language": "en", "abstract": null, "keywords": [ "Sorting", "Genetic algorithm", "Population", "Key (lock)", "Pareto principle", "Multi-objective optimization", "Convergence (economics)", "Truck" ], "cited_by_openalex": 6, "cited_by_scopus": "5", "eid": "2-s2.0-105021556233", "pii": "S0305054825003533", "open_access_url": "https://doi.org/10.1016/j.cor.2025.107324", "sources": [ { "db": "openalex", "stream": "UAV", "query_id": "UAV-2" }, { "db": "scopus", "stream": "UAV", "query_id": "UAV-2" } ], "streams": [ "UAV" ], "relevance_signals": [ "UAV_NO_CTX", "TRUCK_NO_CTX" ], "auto_exclude_reason": "EC-4-topic", "screening_status": "auto_excluded", "screened_by": "auto-v1.0.0" }, { "id": "doi:10.1016/j.rineng.2025.103968", "doi": "10.1016/j.rineng.2025.103968", "title": "Optimal vertiport design for urban air mobility: A performance-based approach for urban air mobility in the UAE", "year": 2025, "authors": [ "Aref Mohamad Maksoud", "Aseel Ali Hussien", "Yasameen Safaa Adnan", "Hend Hussein Hassan Alhousani", "Sarah Isam Abdul-Rahman Alawneh" ], "first_author": "Aref Mohamad Maksoud", "venue": "Results in Engineering", "volume": "25", "pages": null, "type": "article", "language": "en", "abstract": null, "keywords": [ "Environmental science", "Urban design", "Computer science", "Transport engineering", "Urban planning", "Civil engineering", "Engineering" ], "cited_by_openalex": 6, "cited_by_scopus": "5", "eid": "2-s2.0-85214336566", "pii": "S2590123025000568", "open_access_url": "https://doi.org/10.1016/j.rineng.2025.103968", "sources": [ { "db": "openalex", "stream": "UAV", "query_id": "UAV-3" }, { "db": "scopus", "stream": "UAV", "query_id": "UAV-3" } ], "streams": [ "UAV" ], "relevance_signals": [ "UAV_NO_CTX" ], "auto_exclude_reason": "EC-4-topic", "screening_status": "auto_excluded", "screened_by": "auto-v1.0.0" }, { "id": "doi:10.3390/su17115054", "doi": "10.3390/su17115054", "title": "Efficient Urban Air Mobility Vertiport Operational Plans Considering On-Ground Traffic Environment", "year": 2025, "authors": [ "Jaekyun Lee", "Uwon Huh", "Peng Wei", "Kyowon Song" ], "first_author": "Jaekyun Lee", "venue": "Sustainability", "volume": "17", "pages": null, "type": "article", "language": "en", "abstract": "Urban Air Mobility (UAM) has high potential as an ecofriendly transportation mode that can alleviate traffic congestion on the ground and reduce travel times by utilizing three-dimensional airspace. However, efficient vertiport operational plans are needed for UAM to become an accessible transportation mode for the public. In this study, the numerical analysis program MATLAB (R2023a) and the traffic simulation software VISSIM (PTV VISSIM 2024) were used to model vertiport operations and analyze the on-ground traffic environment, including vertiport capacity and UAM aircraft delays. Additionally, on-time performance was considered by applying uncertainties to the intervals between consecutive generations and the turnaround time to simulate situations where UAM aircraft cannot adhere to their scheduled arrival and departure times. Operational scenarios were developed by varying the interval time between UAM aircraft generated in the simulation (3–10 min) in two cases: (1) without considering the on-time performance and (2) considering the on-time performance. This study aimed to maximize vertiport capacity and minimize UAM aircraft delay times. In addition, the reduction of delay times and improvement of turnaround efficiency directly contribute to sustainable urban airspace management by lowering ground energy use and environmental impact. In Case 1, the vertiport was most efficient at an interval time of 7 min. In Case 2, capacity was maximized at an interval time of 6–7 min while delay times were minimized at an interval time of 8–10 min. The simulation results provide valuable insights for developing not only efficient but also environmentally responsible vertiport operational plans, contributing to the successful and sustainable implementation and scalability of UAM systems.", "keywords": [ "VisSim", "Turnaround time", "Interval (graph theory)", "MATLAB", "Transport engineering", "Traffic congestion", "Traffic simulation", "Simulation", "Engineering", "Environmental science", "Computer science", "Microsimulation" ], "cited_by_openalex": 3, "cited_by_scopus": "5", "eid": "2-s2.0-105007725112", "pii": null, "open_access_url": "https://www.mdpi.com/2071-1050/17/11/5054/pdf?version=1748616082", "sources": [ { "db": "openalex", "stream": "UAV", "query_id": "UAV-3" }, { "db": "scopus", "stream": "UAV", "query_id": "UAV-3" } ], "streams": [ "UAV" ], "relevance_signals": [ "UAV_NO_CTX" ], "auto_exclude_reason": "EC-4-topic", "screening_status": "auto_excluded", "screened_by": "auto-v1.0.0" }, { "id": "doi:10.32548/2025.me-04484", "doi": "10.32548/2025.me-04484", "title": "Bioinspired Vertiport System Design for Supporting Drone Swarms in Methane Gas Detection from Orphaned Wells", "year": 2025, "authors": [ "Fahad Mannan", "Logan Moore", "Jorge Augusto Quiroga", "Arthur Wietharn", "Sihua Shao", "Xiang Sun", "Mostafa Hassanalian" ], "first_author": "Fahad Mannan", "venue": "Materials Evaluation", "volume": "83", "pages": "36-50", "type": "article", "language": "en", "abstract": "The aim of this paper is to explore bioinspired vertiport designs—a hub for drones’ vertical takeoff and landing (VTOL) and servicing, also referred to as a nesting station, docking station, hangar, or landing station—for drone swarms tasked with specific missions. The vertiport system design is inspired by tree structures, with branches represented by capsules that house drones. Solar panels mounted on actuators at the top of the vertiport adjust their orientation to maximize sun exposure, supplying power to the vertiport’s isolated grid for continuous energy day and night. A weather station located at the top transmits data to a computing system, ensuring environmental safety for drone operations. The vertiport’s key components include capsules that open and close during drone launch and landing. Each capsule is equipped with charging contacts for the drones, AprilTags to facilitate precise landing, and a mechanism to center the drone within the capsule upon closure. Designed to protect the drones from environmental conditions, these capsules feature robust structures capable of withstanding harsh weather, ensuring the drones are safeguarded inside. This design highlights the potential of bioinspired approaches in creating efficient vertiport systems.", "keywords": [ "Drone", "Methane", "Gas industry", "Engineering", "Nondestructive testing", "Methane gas", "Aerospace engineering", "Natural gas", "Systems engineering", "Waste management", "Physics", "Chemistry" ], "cited_by_openalex": 1, "cited_by_scopus": "5", "eid": "2-s2.0-105004180336", "pii": null, "open_access_url": "https://doi.org/10.32548/2025.me-04484", "sources": [ { "db": "openalex", "stream": "UAV", "query_id": "UAV-3" }, { "db": "scopus", "stream": "UAV", "query_id": "UAV-3" } ], "streams": [ "UAV" ], "relevance_signals": [ "UAV_NO_CTX" ], "auto_exclude_reason": "EC-4-topic", "screening_status": "auto_excluded", "screened_by": "auto-v1.0.0" }, { "id": "doi:10.3390/aerospace12060560", "doi": "10.3390/aerospace12060560", "title": "Urban Air Mobility Vertiport’s Capacity Simulation and Analysis", "year": 2025, "authors": [ "Antoni Kopyt", "Sebastian Dylicki" ], "first_author": "Antoni Kopyt", "venue": "Aerospace", "volume": "12", "pages": null, "type": "article", "language": "en", "abstract": "This study shows a comprehensive simulation to assess and enhance the throughput capacity of unmanned air system vertiports, one of the most essential elements of urban air mobility ecosystems. The framework integrates dynamic grid-based spatial management, probabilistic mission duration algorithms, and EASA-compliant operational protocols to address the infrastructural and logistical demands of high-density UAS operations. It was focused on two use cases—high-frequency food delivery utilizing small UASs and extended-range package logistics with larger UASs—and the model incorporates adaptive vertiport zoning strategies, segregating operations into dedicated sectors for battery charging, swapping, and cargo handling to enable parallel processing and mitigate congestion. The simulation evaluates critical variables such as vertiport dimensions, UAS fleet composition, and mission duration ranges while emphasizing scalability, safety, and compliance with evolving regulatory standards. By examining the interplay between infrastructure design, operational workflows, and resource allocation, the research provides a versatile tool for urban planners and policymakers to optimize vertiport layouts and traffic management protocols. Its modular architecture supports future extensions. This work underscores the necessity of adaptive, data-driven planning to harmonize vertiport functionality with the dynamic demands of urban air mobility, ensuring interoperability, safety, and long-term scalability.", "keywords": [ "Scalability", "Computer science", "Modular design", "Interoperability", "Duration (music)", "Workflow", "Resilience (materials science)", "Probabilistic logic", "Systems engineering", "Distributed computing", "Transport engineering", "Engineering" ], "cited_by_openalex": 3, "cited_by_scopus": "5", "eid": "2-s2.0-105009051479", "pii": null, "open_access_url": "https://www.mdpi.com/2226-4310/12/6/560/pdf?version=1750330358", "sources": [ { "db": "openalex", "stream": "UAV", "query_id": "UAV-3" }, { "db": "scopus", "stream": "UAV", "query_id": "UAV-3" } ], "streams": [ "UAV" ], "relevance_signals": [ "UAV_NO_CTX" ], "auto_exclude_reason": "EC-4-topic", "screening_status": "auto_excluded", "screened_by": "auto-v1.0.0" }, { "id": "doi:10.1177/03611981251324190", "doi": "10.1177/03611981251324190", "title": "Forecasting Demand for Urban Air Mobility Based on the Random Coefficient Logit Model: A Case Study of Provincial Capital Cities in China", "year": 2025, "authors": [ "Jida Chen", "Qiang Wang", "Shuai Zheng", "Hongbo Yi", "Yugang Liu" ], "first_author": "Jida Chen", "venue": "Transportation Research Record Journal of the Transportation Research Board", "volume": null, "pages": null, "type": "article", "language": "en", "abstract": "With the technical breakthrough of electric vertical take-off and landing (eVTOL) aircraft, urban air mobility (UAM) has gained significant attention. Accurate demand forecasts for UAM in China are crucial. The random coefficient logit model (referred to as the BLP model) is applied to estimate the demand of heterogeneous consumers. We employ a predictive model that integrates multiple influencing factors to forecast UAM demand. The model reveals the impact of traffic mode characteristics (speed, cost, waiting time, and congestion) on heterogeneous passengers, who differ in gender, education background, value of travel time, and vehicle ownership. Using the nested logit (NL) model as a benchmark, we calculate the sharing rates of different traffic modes. The results indicate that the sharing rates derived from the BLP model are closer to reality, showing an elastic substitution relationship among different traffic modes. Furthermore, considering the characteristics of current eVTOL aircraft, we estimate the sharing rates of UAM in urban settings. By analyzing the cost of UAM, we offer suggestions concerning fares and improvements to the ride experience. Simulations show that when fares are reduced by 25%, the sharing rate increases 50%. Additionally, passenger accessibility can be enhanced by increasing the number of vertiports. The cruising speed of UAM should be limited, as the sharing rate decreases when speeds exceed 120 km/h, a matter that is related to passenger comfort and safety.", "keywords": [ "Nested logit", "Econometrics", "Mode (computer interface)", "China", "Value of time", "Mixed logit", "Logistic regression", "Computer science", "Transport engineering", "Travel time", "Economics", "Engineering" ], "cited_by_openalex": 5, "cited_by_scopus": 0, "eid": null, "pii": null, "open_access_url": "https://doi.org/10.1177/03611981251324190", "sources": [ { "db": "openalex", "stream": "UAV", "query_id": "UAV-3" } ], "streams": [ "UAV" ], "relevance_signals": [ "UAV_NO_CTX" ], "auto_exclude_reason": "EC-4-topic", "screening_status": "auto_excluded", "screened_by": "auto-v1.0.0" }, { "id": "doi:10.1631/fitee.2500541", "doi": "10.1631/fitee.2500541", "title": "Eixão-UAM: LLM-assisted iterative design of a low-altitude urban air mobility corridor in Brasilia", "year": 2025, "authors": [ "Li Weigang", "Juliano Adorno Maia", "Emília Stenzel", "Lucas Ramson Siefert" ], "first_author": "Li Weigang", "venue": "Frontiers of Information Technology & Electronic Engineering", "volume": null, "pages": null, "type": "article", "language": "en", "abstract": "The development of urban air mobility (UAM) systems requires scalable, regulation-aware planning of low-altitude airspace and supporting infrastructure. This study proposes an end-to-end framework for the design, simulation, and iterative optimization of a structured UAM corridor over Brasilia’s central road axis (Eixão-UAM), aligned with the Brazilian unmanned aircraft traffic management (BR-UTM) ecosystem. In addition, this study proposes a multilayered aerial configuration stratified by unmanned aerial vehicle class, supported by a modular ground infrastructure composed of vertihubs, vertiports, and vertistops. A takeoff-scheduling simulator is developed to evaluate platform allocation strategies under realistic traffic and weather conditions. Initial experiments compare a round-robin (RR) baseline with a genetic algorithm (GA), and results reveal that RR outperforms GA v1 in terms of the average waiting time. To address this gap, a large language model (LLM) assisted optimization loop is implemented using GPT-4o Mini and Gemini 2.5 Pro. The LLMs act as reasoning partners, supporting the root-cause diagnoses, fitness function redesign, and rapid prototyping of five GA variants. Among these, GA v5 achieves a 59.62% reduction in maximum waiting time and an approximately 10% reduction in average waiting time over GA v1, thereby approaching the robustness of RR. In contrast, GA v2–v4 and GA v6 perform less consistently, showing an importance of fitness function design. These results underscore the role of an iterative, LLM-guided development in enhancing classical optimization, demonstrating that generative artificial intelligence (AI) can contribute to simulation acceleration and the cocreation of operational logic. The proposed method provides a replicable blueprint for integrating LLMs into early-stage UAM planning, offering both theoretical insights and architectural guidance for future low-altitude airspace systems.", "keywords": [ "Modular design", "Genetic algorithm", "Robustness (evolution)", "Fitness function", "Blueprint", "Function (biology)", "Iterative method" ], "cited_by_openalex": 5, "cited_by_scopus": 0, "eid": null, "pii": null, "open_access_url": "https://doi.org/10.1631/fitee.2500541", "sources": [ { "db": "openalex", "stream": "UAV", "query_id": "UAV-3" } ], "streams": [ "UAV" ], "relevance_signals": [ "UAV_NO_CTX" ], "auto_exclude_reason": "EC-4-topic", "screening_status": "auto_excluded", "screened_by": "auto-v1.0.0" }, { "id": "doi:10.1016/j.ast.2025.111045", "doi": "10.1016/j.ast.2025.111045", "title": "A numerical investigation of noise reduction of ground lattices for rotors in ground effect", "year": 2025, "authors": [ "Qidong Chen", "Han C. Wu", "Siyang Zhong" ], "first_author": "Qidong Chen", "venue": "Aerospace Science and Technology", "volume": "168", "pages": null, "type": "article", "language": "en", "abstract": null, "keywords": [ "Baffle", "Ground effect (cars)", "Aerodynamics", "Noise (video)", "Aeroacoustics", "Turbulence", "Wake", "Vortex", "Rotor (electric)" ], "cited_by_openalex": 3, "cited_by_scopus": "5", "eid": "2-s2.0-105020597811", "pii": "S1270963825011083", "open_access_url": "https://doi.org/10.1016/j.ast.2025.111045", "sources": [ { "db": "openalex", "stream": "UAV", "query_id": "UAV-3" }, { "db": "scopus", "stream": "UAV", "query_id": "UAV-3" } ], "streams": [ "UAV" ], "relevance_signals": [ "NO_TECHNOLOGY_MATCH" ], "auto_exclude_reason": "EC-4-topic", "screening_status": "auto_excluded", "screened_by": "auto-v1.0.0" }, { "id": "doi:10.1016/j.tra.2025.104545", "doi": "10.1016/j.tra.2025.104545", "title": "E-commerce shipments in an X-minute city: Informing authorities on freight transport through parcel lockers", "year": 2025, "authors": [ "Orhan C.C." ], "first_author": "Orhan C.C.", "venue": "Transportation Research Part A Policy and Practice", "volume": "199", "pages": null, "type": "Article", "language": null, "abstract": null, "keywords": [], "cited_by_openalex": 0, "cited_by_scopus": "5", "eid": "2-s2.0-105007599854", "pii": "S0965856425001739", "open_access_url": null, "sources": [ { "db": "scopus", "stream": "TRUCK", "query_id": "TRUCK-2" } ], "streams": [ "TRUCK" ], "relevance_signals": [ "NO_TECHNOLOGY_MATCH" ], "auto_exclude_reason": "EC-4-topic", "screening_status": "auto_excluded", "screened_by": "auto-v1.0.0" }, { "id": "doi:10.1016/j.trpro.2024.12.213", "doi": "10.1016/j.trpro.2024.12.213", "title": "Optimizing Two-Echelon Logistics Network for Urban Logistics by LRP Heuristics with integrated Microscopic Transport Simulation", "year": 2025, "authors": [ "Deineko E." ], "first_author": "Deineko E.", "venue": "Transportation Research Procedia", "volume": "82", "pages": "2693-2707", "type": "Conference Paper", "language": null, "abstract": null, "keywords": [], "cited_by_openalex": 0, "cited_by_scopus": "5", "eid": "2-s2.0-85216226382", "pii": "S235214652400512X", "open_access_url": null, "sources": [ { "db": "scopus", "stream": "TRUCK", "query_id": "TRUCK-2" } ], "streams": [ "TRUCK" ], "relevance_signals": [ "NO_TECHNOLOGY_MATCH" ], "auto_exclude_reason": "EC-4-topic", "screening_status": "auto_excluded", "screened_by": "auto-v1.0.0" }, { "id": "doi:10.1016/j.tre.2025.104415", "doi": "10.1016/j.tre.2025.104415", "title": "Optimization of urban logistics with multi-modal systems: A comprehensive study of the airship-vehicle routing problem", "year": 2025, "authors": [ "Jeong H.Y." ], "first_author": "Jeong H.Y.", "venue": "Transportation Research Part E Logistics and Transportation Review", "volume": "204", "pages": null, "type": "Article", "language": null, "abstract": null, "keywords": [], "cited_by_openalex": 0, "cited_by_scopus": "5", "eid": "2-s2.0-105024916210", "pii": "S1366554525004569", "open_access_url": null, "sources": [ { "db": "scopus", "stream": "UAV", "query_id": "UAV-1" }, { "db": "scopus", "stream": "UAV", "query_id": "UAV-2" } ], "streams": [ "UAV" ], "relevance_signals": [ "NO_TECHNOLOGY_MATCH" ], "auto_exclude_reason": "EC-4-topic", "screening_status": "auto_excluded", "screened_by": "auto-v1.0.0" }, { "id": "doi:10.1016/j.techfore.2025.124246", "doi": "10.1016/j.techfore.2025.124246", "title": "Gender perspectives on drone technology adoption in healthcare logistics", "year": 2025, "authors": [ "Garg V." ], "first_author": "Garg V.", "venue": "Technological Forecasting and Social Change", "volume": "219", "pages": null, "type": "Article", "language": null, "abstract": null, "keywords": [], "cited_by_openalex": 0, "cited_by_scopus": "5", "eid": "2-s2.0-105007788886", "pii": "S004016252500277X", "open_access_url": null, "sources": [ { "db": "scopus", "stream": "UAV", "query_id": "UAV-1" } ], "streams": [ "UAV" ], "relevance_signals": [ "UAV_NO_CTX" ], "auto_exclude_reason": "EC-4-topic", "screening_status": "auto_excluded", "screened_by": "auto-v1.0.0" }, { "id": "doi:10.1016/j.comnet.2025.111787", "doi": "10.1016/j.comnet.2025.111787", "title": "Spectral reinforcement learning based dynamic routing for unmanned aerial vehicle (UAV) networks", "year": 2025, "authors": [ "ullah S." ], "first_author": "ullah S.", "venue": "Computer Networks", "volume": "273", "pages": null, "type": "Article", "language": null, "abstract": null, "keywords": [], "cited_by_openalex": 0, "cited_by_scopus": "5", "eid": "2-s2.0-105018904668", "pii": "S1389128625007534", "open_access_url": null, "sources": [ { "db": "scopus", "stream": "UAV", "query_id": "UAV-2" } ], "streams": [ "UAV" ], "relevance_signals": [ "UAV_NO_CTX" ], "auto_exclude_reason": "EC-4-topic", "screening_status": "auto_excluded", "screened_by": "auto-v1.0.0" }, { "id": "doi:10.3390/futuretransp5020065", "doi": "10.3390/futuretransp5020065", "title": "Green Last-Mile Delivery: Adapting Beverage Distribution to Low Emission Urban Areas", "year": 2025, "authors": [ "Alessandro Giordano", "Panayotis Christidis" ], "first_author": "Alessandro Giordano", "venue": "Future Transportation", "volume": "5", "pages": null, "type": "article", "language": "en", "abstract": "Electrifying urban last-mile logistics is an important step towards reducing carbon emissions which requires replacing conventional vehicles with low-carbon alternatives that offer comparable operational and cost characteristics. This study presents a methodology for evaluating the feasibility of electrifying an urban delivery fleet, using data from a major beverage company in Seville as a case study. Applying a fleet and route optimization algorithm for various vehicle combinations, we demonstrate that emerging electric vehicle options, combined with a redesigned fleet mix and an optimized routing, can already enable cost-efficient electrification of distribution activities in the city centre. Furthermore, our analysis suggests that full electrification of the company’s local distribution network may be possible by 2030, depending on the availability of larger electric trucks. Our results show that currently available electric vehicles can fully substitute conventional options in the case study context, with higher capital costs offset by lower energy costs in most cases. The electrification of urban logistics can yield significant environmental benefits, particularly if powered by a clean energy mix.", "keywords": [ "Mile", "Last mile (transportation)", "Distribution (mathematics)", "Environmental science", "Geography", "Mathematics" ], "cited_by_openalex": 4, "cited_by_scopus": "4", "eid": "2-s2.0-105008961182", "pii": null, "open_access_url": "https://www.mdpi.com/2673-7590/5/2/65/pdf?version=1748936815", "sources": [ { "db": "openalex", "stream": "TRUCK", "query_id": "TRUCK-1" }, { "db": "openalex", "stream": "TRUCK", "query_id": "TRUCK-2" }, { "db": "openalex", "stream": "TRUCK", "query_id": "TRUCK-3" }, { "db": "scopus", "stream": "TRUCK", "query_id": "TRUCK-1" }, { "db": "scopus", "stream": "TRUCK", "query_id": "TRUCK-2" }, { "db": "scopus", "stream": "TRUCK", "query_id": "TRUCK-3" } ], "streams": [ "TRUCK" ], "relevance_signals": [ "TRUCK" ], "auto_exclude_reason": null, "screening_status": "pending_human_screening", "screened_by": "auto-v1.0.0" }, { "id": "doi:10.1007/s00500-025-10513-2", "doi": "10.1007/s00500-025-10513-2", "title": "Decomposition matheuristics for last mile delivery using public transportation systems", "year": 2025, "authors": [ "Minakshi Punam Mandal", "Claudia Archetti" ], "first_author": "Minakshi Punam Mandal", "venue": "Soft Computing", "volume": "29", "pages": "1511-1539", "type": "article", "language": "en", "abstract": null, "keywords": [ "Mile", "Decomposition", "Last mile (transportation)", "Computer science", "Delivery system", "Public transport", "Transport engineering", "Engineering", "Chemistry", "Geography" ], "cited_by_openalex": 3, "cited_by_scopus": "4", "eid": "2-s2.0-85218840243", "pii": null, "open_access_url": "https://doi.org/10.1007/s00500-025-10513-2", "sources": [ { "db": "openalex", "stream": "TRUCK", "query_id": "TRUCK-1" }, { "db": "scopus", "stream": "TRUCK", "query_id": "TRUCK-1" } ], "streams": [ "TRUCK" ], "relevance_signals": [ "NO_TECHNOLOGY_MATCH" ], "auto_exclude_reason": "EC-4-topic", "screening_status": "auto_excluded", "screened_by": "auto-v1.0.0" }, { "id": "doi:10.1016/j.jtrangeo.2025.104411", "doi": "10.1016/j.jtrangeo.2025.104411", "title": "Spatial patterns and community structures of urban freight: Network insights into diesel and electric truck mobility", "year": 2025, "authors": [ "Tao Peng", "Mi Gan", "Xiaoyuan Yang", "Lifei Wei" ], "first_author": "Tao Peng", "venue": "Journal of Transport Geography", "volume": "129", "pages": null, "type": "article", "language": "en", "abstract": null, "keywords": [ "Truck", "Transport engineering", "Economic geography", "Geography", "Automotive engineering", "Engineering" ], "cited_by_openalex": 4, "cited_by_scopus": "4", "eid": "2-s2.0-105014761794", "pii": "S0966692325003023", "open_access_url": "https://doi.org/10.1016/j.jtrangeo.2025.104411", "sources": [ { "db": "openalex", "stream": "TRUCK", "query_id": "TRUCK-1" }, { "db": "scopus", "stream": "TRUCK", "query_id": "TRUCK-1" } ], "streams": [ "TRUCK" ], "relevance_signals": [ "TRUCK" ], "auto_exclude_reason": null, "screening_status": "pending_human_screening", "screened_by": "auto-v1.0.0" }, { "id": "doi:10.1016/j.cstp.2025.101600", "doi": "10.1016/j.cstp.2025.101600", "title": "Urban freight Electrification: Total cost of ownership comparison of medium-duty BEVs and ICEVs in Thailand", "year": 2025, "authors": [ "Pornthep Anussornnitisarn", "Atiphat Sumitpaibul", "Kampanart Silva", "Naraphorn Paoprasert" ], "first_author": "Pornthep Anussornnitisarn", "venue": "Case Studies on Transport Policy", "volume": "22", "pages": null, "type": "article", "language": "en", "abstract": null, "keywords": [ "Electrification", "Business", "Duty", "Agricultural economics", "Natural resource economics", "Environmental science", "Economics", "Electricity", "Engineering", "Political science" ], "cited_by_openalex": 3, "cited_by_scopus": "4", "eid": "2-s2.0-105015152031", "pii": "S2213624X25002378", "open_access_url": "https://doi.org/10.1016/j.cstp.2025.101600", "sources": [ { "db": "openalex", "stream": "TRUCK", "query_id": "TRUCK-1" }, { "db": "openalex", "stream": "TRUCK", "query_id": "TRUCK-3" }, { "db": "scopus", "stream": "TRUCK", "query_id": "TRUCK-1" }, { "db": "scopus", "stream": "TRUCK", "query_id": "TRUCK-3" } ], "streams": [ "TRUCK" ], "relevance_signals": [ "NO_TECHNOLOGY_MATCH" ], "auto_exclude_reason": "EC-4-topic", "screening_status": "auto_excluded", "screened_by": "auto-v1.0.0" }, { "id": "doi:10.1016/j.trc.2025.105255", "doi": "10.1016/j.trc.2025.105255", "title": "Benders decomposition for traveling salesman problem with drone: A space-time-state network perspective", "year": 2025, "authors": [ "Chenhao Zhang", "Yaoxin Wu", "Tao Feng", "Yibei Zhang", "Maocan Song", "Lin Cheng" ], "first_author": "Chenhao Zhang", "venue": "Transportation Research Part C Emerging Technologies", "volume": "179", "pages": null, "type": "article", "language": "en", "abstract": null, "keywords": [ "Travelling salesman problem", "Drone", "Perspective (graphical)", "Decomposition", "2-opt", "Traveling purchaser problem", "State space", "State (computer science)", "Computer science", "Mathematical optimization", "Operations research", "Flow network" ], "cited_by_openalex": 8, "cited_by_scopus": "4", "eid": "2-s2.0-105010463891", "pii": "S0968090X25002591", "open_access_url": "https://research.tue.nl/en/publications/482fdb14-e5f6-4c0b-b288-72e388abcd0a", "sources": [ { "db": "openalex", "stream": "TRUCK", "query_id": "TRUCK-1" }, { "db": "openalex", "stream": "UAV", "query_id": "UAV-1" }, { "db": "scopus", "stream": "TRUCK", "query_id": "TRUCK-1" }, { "db": "scopus", "stream": "UAV", "query_id": "UAV-1" } ], "streams": [ "TRUCK", "UAV" ], "relevance_signals": [ "UAV_NO_CTX" ], "auto_exclude_reason": "EC-4-topic", "screening_status": "auto_excluded", "screened_by": "auto-v1.0.0" }, { "id": "doi:10.1007/978-3-032-08147-6_12", "doi": "10.1007/978-3-032-08147-6_12", "title": "Digital Twins for Hyperconnected City Logistics", "year": 2025, "authors": [ "Russell George Thompson", "Masoud Kahalimoghadam", "Lele Zhang", "Sabri Soheil" ], "first_author": "Russell George Thompson", "venue": "International series in management science/operations research/International series in operations research & management science", "volume": "375", "pages": "221-240", "type": "book-chapter", "language": "en", "abstract": null, "keywords": [ "Transshipment (information security)", "City logistics", "The Internet", "Consolidation (business)", "Supply chain", "Harmonization" ], "cited_by_openalex": 0, "cited_by_scopus": "4", "eid": "2-s2.0-105026581695", "pii": null, "open_access_url": "https://doi.org/10.1007/978-3-032-08147-6_12", "sources": [ { "db": "openalex", "stream": "TRUCK", "query_id": "TRUCK-1" }, { "db": "openalex", "stream": "TRUCK", "query_id": "TRUCK-2" }, { "db": "scopus", "stream": "TRUCK", "query_id": "TRUCK-1" } ], "streams": [ "TRUCK" ], "relevance_signals": [ "NO_TECHNOLOGY_MATCH" ], "auto_exclude_reason": "EC-4-topic", "screening_status": "auto_excluded", "screened_by": "auto-v1.0.0" }, { "id": "doi:10.1016/j.jii.2025.100985", "doi": "10.1016/j.jii.2025.100985", "title": "Bi-objective sustainable urban logistics vehicle routing problem with workload balance", "year": 2025, "authors": [ "Wenyan Zhao", "Yaguang Yuan", "Cong Cheng", "Wenheng Liu" ], "first_author": "Wenyan Zhao", "venue": "Journal of Industrial Information Integration", "volume": "48", "pages": null, "type": "article", "language": "en", "abstract": null, "keywords": [ "City logistics", "Workload", "Metaheuristic", "Vehicle routing problem", "Pareto principle", "Multi-objective optimization", "Benchmark (surveying)", "Sustainability" ], "cited_by_openalex": 1, "cited_by_scopus": "4", "eid": "2-s2.0-105020251907", "pii": "S2452414X25002080", "open_access_url": "https://doi.org/10.1016/j.jii.2025.100985", "sources": [ { "db": "openalex", "stream": "TRUCK", "query_id": "TRUCK-2" }, { "db": "scopus", "stream": "TRUCK", "query_id": "TRUCK-2" } ], "streams": [ "TRUCK" ], "relevance_signals": [ "NO_TECHNOLOGY_MATCH" ], "auto_exclude_reason": "EC-4-topic", "screening_status": "auto_excluded", "screened_by": "auto-v1.0.0" }, { "id": "doi:10.1109/imcom64595.2025.10857539", "doi": "10.1109/imcom64595.2025.10857539", "title": "Optimizing 3D Flight Paths for Multiple UAVs with Connectivity Management in Urban Delivery Systems", "year": 2025, "authors": [ "Yeongmin Lee", "Raihan Muhammad Syahran", "Mael Spangenberger", "Huigyu Yang", "Jiyong Oh", "Hyunseung Choo" ], "first_author": "Yeongmin Lee", "venue": null, "volume": null, "pages": null, "type": "conference-paper", "language": "en", "abstract": "The dynamic deployment of aerial vehicles in urban delivery scenarios demands precise route planning, reliable data links, and efficient use of network infrastructure. Although prior efforts have explored various aspects of unmanned navigation or communication optimization, existing approaches often overlook the combined impact of three-dimensional path selection and robust connectivity maintenance. To address this gap, this paper proposes a deep reinforcement learning framework employing Independent Proximal Policy Optimization (IPPO) to steer the flight paths of unmanned vehicles while curtailing needless interactions with base stations (BSs). By incorporating communication-specific metrics, Reference Signal Received Power (RSRP), the proposed system adapts to urban conditions and upholds resilient network links. Comprehensive performance evaluations reveal the potential of the framework to reduce excessive BS connections by up to 82.24%, preserve RSRP levels above -80 dBm, and balance handover frequencies across flight trajectories. These findings affirm the scalability and effectiveness of the method for achieving efficient aerial navigation and consistent communication in urban delivery services.", "keywords": [ "Computer science" ], "cited_by_openalex": 4, "cited_by_scopus": 0, "eid": null, "pii": null, "open_access_url": "https://doi.org/10.1109/imcom64595.2025.10857539", "sources": [ { "db": "openalex", "stream": "TRUCK", "query_id": "TRUCK-2" } ], "streams": [ "TRUCK" ], "relevance_signals": [ "UAV" ], "auto_exclude_reason": null, "screening_status": "pending_human_screening", "screened_by": "auto-v1.0.0" }, { "id": "doi:10.1016/j.tre.2025.104343", "doi": "10.1016/j.tre.2025.104343", "title": "Warehouse-distribution integration routing problem under real-world transport conditions with multiple time windows and variable loading efficiency", "year": 2025, "authors": [ "Yinying Liu", "Xin Shi", "Jianmeng Liu", "Pengjie Qin", "Cheng Tang" ], "first_author": "Yinying Liu", "venue": "Transportation Research Part E Logistics and Transportation Review", "volume": "203", "pages": null, "type": "article", "language": "en", "abstract": "The growing trend of e-commerce enterprises establishing their own warehouses has significantly enhanced operational efficiency in urban delivery. This has given rise to the Warehouse-Distribution Integration Routing Problem (WDIRP), a variant of the Vehicle Routing Problem (VRP). However, this type of problem under real-world transport conditions, especially considering multiple time windows and variable loading efficiency, has been insufficiently studied in the existing literature. This research addresses these characteristics to more accurately reflect real-world urban delivery challenges. To solve the problem, we propose a Mixed Integer Linear Programming (MILP) model for the WDIRP with a novel methodological approach to formulate multiple time windows, which can be efficiently solved using IBM ILOG CPLEX Optimization Studio (CPLEX). Additionally, we develop a two-stage heuristic algorithm that incorporates a multi-greedy method and a Variable Neighborhood Search (VNS) method, featuring new problem-specific neighborhood structures. The computational experiments encompass 20 randomly generated small-scale instances, 20 benchmark instances, and 18 realistic instances derived from diverse geographical areas and periods in Chongqing, China. Eighteen larger-scale extended instances are also developed to further test scalability, involving up to 50 warehouses and 500 customers. The realistic instances incorporate real-world transport conditions, including road topology, traffic performance, node distribution, and customer demand, with their corresponding parameters extracted or predicted using big data technologies. Our results demonstrate that the proposed model outperforms common formulations in computational performance, and the two-stage heuristic algorithm is superior to alternative approaches in solving the WDIRP. In addition to presenting results for various instances, we implement a mountainous city simulation model to achieve the 3D simulation of the delivery scheme. The findings provide valuable insights for logistics enterprises aiming to optimize urban delivery operations.", "keywords": [ "Vehicle routing problem", "Warehouse", "Variable (mathematics)", "Routing (electronic design automation)", "Distribution (mathematics)", "Computer science", "Operations research", "Mathematical optimization", "Transport engineering", "Engineering", "Mathematics", "Computer network" ], "cited_by_openalex": 4, "cited_by_scopus": "4", "eid": "2-s2.0-105012637107", "pii": "S1366554525003849", "open_access_url": "https://doi.org/10.1016/j.tre.2025.104343", "sources": [ { "db": "openalex", "stream": "TRUCK", "query_id": "TRUCK-2" }, { "db": "scopus", "stream": "TRUCK", "query_id": "TRUCK-2" } ], "streams": [ "TRUCK" ], "relevance_signals": [ "NO_TECHNOLOGY_MATCH" ], "auto_exclude_reason": "EC-4-topic", "screening_status": "auto_excluded", "screened_by": "auto-v1.0.0" }, { "id": "doi:10.1177/14727978251323125", "doi": "10.1177/14727978251323125", "title": "Optimization of urban terminal delivery routes using fuzzy genetic algorithm and its practical application", "year": 2025, "authors": [ "W. Tang" ], "first_author": "W. Tang", "venue": "Journal of Computational Methods in Sciences and Engineering", "volume": null, "pages": null, "type": "article", "language": "en", "abstract": "As urban populations grow and delivery demands surge, the computational complexity of route optimization problems escalates significantly. Traditional algorithms often struggle with low efficiency, making it challenging to achieve satisfactory solutions within a reasonable timeframe. To address these limitations, this paper introduces a fuzzy genetic algorithm (FGA) that integrates fuzzy logic to model uncertainties inherent in the delivery process, such as traffic congestion, weather disruptions, and demand fluctuations. By leveraging the multi-objective optimization capabilities of genetic algorithms, the proposed FGA comprehensively considers key factors such as delivery time, transportation costs, and customer satisfaction to generate optimal routes. The practical application of this approach demonstrates its effectiveness: the optimized delivery routes significantly reduce delivery times and transportation costs while enhancing customer satisfaction levels. Statistical analysis reveals p -values below 0.05, confirming the significant impact of the FGA on urban terminal delivery optimization. This research not only addresses the computational inefficiencies of traditional methods but also provides a robust framework for handling dynamic and uncertain urban environments. The integration of fuzzy logic and genetic algorithms represents a pioneering step toward sustainable urban logistics, offering both economic value—through cost savings—and social benefits—via improved service quality. In summary, the fuzzy genetic algorithm emerges as a powerful tool for modern urban delivery systems, enabling smarter decision-making and fostering greener, more efficient cities.", "keywords": [ "Terminal (telecommunication)", "Computer science", "Fuzzy logic", "Genetic algorithm", "Algorithm", "Artificial intelligence", "Computer network", "Machine learning" ], "cited_by_openalex": 4, "cited_by_scopus": 0, "eid": null, "pii": null, "open_access_url": "https://doi.org/10.1177/14727978251323125", "sources": [ { "db": "openalex", "stream": "TRUCK", "query_id": "TRUCK-2" } ], "streams": [ "TRUCK" ], "relevance_signals": [ "NO_TECHNOLOGY_MATCH" ], "auto_exclude_reason": "EC-4-topic", "screening_status": "auto_excluded", "screened_by": "auto-v1.0.0" }, { "id": "doi:10.3390/wevj16040220", "doi": "10.3390/wevj16040220", "title": "eVTOL Dispatch Cost Optimization Under Time-Varying Low-Altitude Delivery Demand", "year": 2025, "authors": [ "Tao Li", "Y. F. Du", "Zemin Zhang", "Yushun Wang" ], "first_author": "Tao Li", "venue": "World Electric Vehicle Journal", "volume": "16", "pages": null, "type": "article", "language": "en", "abstract": "In the emerging paradigm of embodied intelligence, eVTOL technology holds significant potential to transform the low-altitude economy, particularly in short-distance emergency logistics and urban distribution. Companies like Meituan and Shunfeng (SF) are pioneering fixed low-altitude routes to reduce reliance on human delivery. We first investigate the performance and routing of Meituan’s eVTOL system, focusing on the dynamic optimization of eVTOL reserves and total costs at distribution stations under fluctuating order surges and charging constraints. An iterative algorithm is constructed, supported by numerical examples and Monte Carlo simulations. Our results reveal that cost parameters and demand characteristics jointly shape eVTOL incremental decision-making and its economic performance. To optimize costs, strategies like multi-period decentralized scheduling or low-frequency centralized decision-making are proposed. Future research will address limitations such as 2C charging effects and joint battery-eVTOL replenishment to further advance urban logistics and low-altitude economy development.", "keywords": [ "On demand", "Altitude (triangle)", "Environmental science", "Computer science", "Mathematics" ], "cited_by_openalex": 3, "cited_by_scopus": "4", "eid": "2-s2.0-105003536295", "pii": null, "open_access_url": "https://www.mdpi.com/2032-6653/16/4/220/pdf?version=1744018605", "sources": [ { "db": "openalex", "stream": "TRUCK", "query_id": "TRUCK-2" }, { "db": "scopus", "stream": "TRUCK", "query_id": "TRUCK-2" } ], "streams": [ "TRUCK" ], "relevance_signals": [ "NO_TECHNOLOGY_MATCH" ], "auto_exclude_reason": "EC-4-topic", "screening_status": "auto_excluded", "screened_by": "auto-v1.0.0" }, { "id": "doi:10.1016/j.tej.2025.107490", "doi": "10.1016/j.tej.2025.107490", "title": "The infrastructure cost for depot charging of battery electric trucks", "year": 2025, "authors": [ "Guihua Wang", "Marshall R. Miller", "Lewis M. Fulton" ], "first_author": "Guihua Wang", "venue": "The Electricity Journal", "volume": "38", "pages": null, "type": "article", "language": "en", "abstract": null, "keywords": [ "Truck", "Depot", "Battery (electricity)", "Automotive engineering", "Business", "Engineering", "Transport engineering", "Environmental science", "Power (physics)" ], "cited_by_openalex": 8, "cited_by_scopus": "4", "eid": "2-s2.0-105011157513", "pii": "S1040619025000351", "open_access_url": "https://escholarship.org/content/qt1p49662g/qt1p49662g.pdf", "sources": [ { "db": "openalex", "stream": "TRUCK", "query_id": "TRUCK-3" }, { "db": "scopus", "stream": "TRUCK", "query_id": "TRUCK-3" } ], "streams": [ "TRUCK" ], "relevance_signals": [ "TRUCK_NO_CTX" ], "auto_exclude_reason": "EC-4-topic", "screening_status": "auto_excluded", "screened_by": "auto-v1.0.0" }, { "id": "doi:10.1080/21681015.2025.2498662", "doi": "10.1080/21681015.2025.2498662", "title": "Optimizing truck scheduling and dock placement at cross-docking systems through a hybrid genetic-ant colony optimization algorithm", "year": 2025, "authors": [ "Ehsan Esmaeeli", "Alireza Haji", "Jalal Rezaeenour", "Maryam Sabaghieh Yazd", "Mohammad Reza Feylizadeh" ], "first_author": "Ehsan Esmaeeli", "venue": "Journal of Industrial and Production Engineering", "volume": "42", "pages": "938-966", "type": "article", "language": "en", "abstract": "This paper proposes an innovative two-stage methodology to optimize truck scheduling and dock placement in cross-docking systems, streamlining logistics by transferring shipments directly from inbound to outbound vehicles without storage. The first stage addresses strategic warehouse location decisions to enhance logistics networks, while the second focuses on operational efficiencies in truck routing and scheduling. A hybrid genetic-ant colony optimization algorithm reduces costs, minimizes environmental impacts, and improves service quality. Supported by mathematical modeling and experimental analysis, the results demonstrate the methodology’s ability to enhance efficiency and reduce costs. Findings reveal that Increasing fleet capacity reduces emissions and costs, balancing economic and environmental goals. Experimental results indicate that the hybrid approach achieves up to 25% cost savings and a 19% improvement in Pareto efficiency compared to standalone methods, highlighting its practical applications in logistics and providing a foundation for future research to address uncertainties, incorporate inventory management, and refine optimization approaches.", "keywords": [ "DOCK", "Ant colony optimization algorithms", "Computer science", "Truck", "Scheduling (production processes)", "Genetic algorithm", "Docking (animal)", "Optimization algorithm", "Mathematical optimization", "Algorithm", "Engineering", "Mathematics" ], "cited_by_openalex": 5, "cited_by_scopus": "4", "eid": "2-s2.0-105005410404", "pii": null, "open_access_url": "https://doi.org/10.1080/21681015.2025.2498662", "sources": [ { "db": "openalex", "stream": "TRUCK", "query_id": "TRUCK-3" }, { "db": "scopus", "stream": "TRUCK", "query_id": "TRUCK-3" } ], "streams": [ "TRUCK" ], "relevance_signals": [ "TRUCK_NO_CTX" ], "auto_exclude_reason": "EC-4-topic", "screening_status": "auto_excluded", "screened_by": "auto-v1.0.0" }, { "id": "doi:10.1080/00207543.2025.2469164", "doi": "10.1080/00207543.2025.2469164", "title": "Robust cross-dock assignment problem with uncertain cost parameters", "year": 2025, "authors": [ "Amna Altaf", "Adnen El Amraoui", "François Delmotte", "Christophe Lecoutre" ], "first_author": "Amna Altaf", "venue": "International Journal of Production Research", "volume": "63", "pages": "6108-6133", "type": "article", "language": "en", "abstract": "Amidst the unprecedented macroeconomic uncertainty following the pandemic, stakeholders in global supply chains face significant disruptions, necessitating robust decision-making frameworks. In this study, we present an enhanced solution approach to the Truck Dock Assignment with Temporary Storage (TDATS) problem, addressing critical uncertainties in supply chain and logistics operations. This deterministic model, TDATS, integrates operational, penalty, and storage costs, accounting for complex scenarios such as varying arrival times and temporary storage requirements. Additionally, we introduce a robust optimisation framework: Robust Truck Dock Assignment with Temporary Storage (R-TDATS), to effectively handle uncertainties in cost coefficients. Using polyhedral representations of uncertainty sets and the Bertsimas and Sim optimisation approach, the proposed solution provides decision-makers with conservative yet realistic solutions. Numerical experiments demonstrate the effectiveness of this method, showcasing its applicability to real-world instances of the problem. Moreover, the study also analyses the system's performance under higher levels of uncertainty by increasing the deviation of input variables to 25% and 50%. The results show a significantly increased Price of Robustness(PR) up to 39%, a Relative Increase (RI) in cost up to 88%, and Risk values up to 71%, particularly notable for the combined variation in all three cost coefficients (Co, Cp, Cs). Despite this, the magnitude of the cost increase remains relatively small, underscoring the importance of carefully adjusting and optimising input variables, such as demand forecasts and transportation schedules, to mitigate the impacts of uncertainty. An extensive sensitivity analysis using Monte Carlo simulations identifies a threshold point where increasing operational and storage costs reach a saturation level. Beyond this point, further increase in these costs have minimal impact, prompting a strategic shift towards penalty cost management. This includes nuanced trade-off analysis between operational/storage costs and penalty costs, guiding resource allocation and cost management strategies. Additionally, the analysis reveals a linear relationship between penalty costs and the unit penalty cost coefficient, facilitating the development of optimised penalty cost management strategies. The study offers valuable insights for decision-makers in the cross-docking sector, empowering them to make informed decisions that enhance the efficiency and resilience of supply chain networks amidst uncertainty.", "keywords": [ "Truck", "Robustness (evolution)", "Supply chain", "Operations research", "Monte Carlo method", "Computer science", "Mathematical optimization", "DOCK", "Sensitivity (control systems)", "Engineering", "Mathematics", "Statistics" ], "cited_by_openalex": 2, "cited_by_scopus": "4", "eid": "2-s2.0-86000233602", "pii": null, "open_access_url": "https://doi.org/10.1080/00207543.2025.2469164", "sources": [ { "db": "openalex", "stream": "TRUCK", "query_id": "TRUCK-3" }, { "db": "scopus", "stream": "TRUCK", "query_id": "TRUCK-3" } ], "streams": [ "TRUCK" ], "relevance_signals": [ "TRUCK_NO_CTX" ], "auto_exclude_reason": "EC-4-topic", "screening_status": "auto_excluded", "screened_by": "auto-v1.0.0" }, { "id": "doi:10.1016/j.tre.2025.104538", "doi": "10.1016/j.tre.2025.104538", "title": "The freight multimodal transport problem with buses and drones: An integrated approach for last-mile delivery", "year": 2025, "authors": [ "Jinfeng Yang", "Jiliu Li", "Hu Qin", "E Su", "Rui Zhang" ], "first_author": "Jinfeng Yang", "venue": "Transportation Research Part E Logistics and Transportation Review", "volume": "206", "pages": null, "type": "article", "language": "en", "abstract": null, "keywords": [ "Drone", "Integer programming", "Convergence (economics)", "Column generation", "Benders' decomposition", "Linear programming", "Decomposition", "Service (business)", "Key (lock)" ], "cited_by_openalex": 4, "cited_by_scopus": "4", "eid": "2-s2.0-105022852050", "pii": "S1366554525005666", "open_access_url": "https://doi.org/10.1016/j.tre.2025.104538", "sources": [ { "db": "openalex", "stream": "UAV", "query_id": "UAV-1" }, { "db": "scopus", "stream": "UAV", "query_id": "UAV-1" } ], "streams": [ "UAV" ], "relevance_signals": [ "UAV" ], "auto_exclude_reason": null, "screening_status": "pending_human_screening", "screened_by": "auto-v1.0.0" }, { "id": "doi:10.18267/j.aip.257", "doi": "10.18267/j.aip.257", "title": "Optimization in Routing and Vehicle Selection for E-commerce Last Mile Logistics: Bibliometric Analysis", "year": 2025, "authors": [ "Sari Andarwati Kunharyanto", "Ratna Mayasari", "Dili Oktaviana" ], "first_author": "Sari Andarwati Kunharyanto", "venue": "Acta Informatica Pragensia", "volume": "14", "pages": "174-190", "type": "article", "language": "en", "abstract": "Background: The study investigates the emerging concept of Last Mile Logistics (LML), focusing on optimization routing for e-commerce deliveries.This research addresses the growing demand for efficient delivery systems driven by the rise of online shopping and technological advancements.Objective: This article aims to analyse existing literature, identify trends and highlight gaps in LML research.Methods: A systematic approach was used for the selection of studies and then bibliometric analysis was used to map and evaluate relevant studies.The Scopus citation database was used to gather peerreviewed articles from 1999 to 2023.R-Studio and VOS Viewer were employed for data analysis and visualization.The initial search yielded 3,898 articles, which were filtered down to 1,606 articles.Key findings include the identification of the most productive journals, top-cited articles and influential keywords in LML research. Results:The study significantly emphasizes variables such as distance, costs, energy consumption and delivery time in logistics optimization.E-commerce emerged as a predominant topic, with substantial discussions on technology and transportation within LML.The research underscores the critical role of LML in the success of e-commerce.Conclusion: The findings highlight the need for ongoing innovation and optimization in delivery logistics to enhance efficiency and meet consumer demands.Future research should address the gaps identified, particularly in the context of emerging technologies such as autonomous vehicles and drones, to further improve last mile delivery systems.", "keywords": [ "Vehicle routing problem", "Selection (genetic algorithm)", "Last mile (transportation)", "Routing (electronic design automation)", "Computer science", "Mile", "City logistics", "Operations research", "Business", "Transport engineering", "Engineering", "Computer network" ], "cited_by_openalex": 4, "cited_by_scopus": "4", "eid": "2-s2.0-85219732165", "pii": null, "open_access_url": "https://aip.vse.cz/doi/10.18267/j.aip.257.pdf", "sources": [ { "db": "openalex", "stream": "UAV", "query_id": "UAV-1" }, { "db": "scopus", "stream": "UAV", "query_id": "UAV-1" } ], "streams": [ "UAV" ], "relevance_signals": [ "UAV" ], "auto_exclude_reason": null, "screening_status": "pending_human_screening", "screened_by": "auto-v1.0.0" }, { "id": "doi:10.1002/net.22280", "doi": "10.1002/net.22280", "title": "A New Formulation for the Traveling Salesman Problem With Drone and Lockers", "year": 2025, "authors": [ "Danilo Amitrano", "Maurizio Boccia", "Adriano Masone", "Claudio Sterle" ], "first_author": "Danilo Amitrano", "venue": "Networks", "volume": "86", "pages": "112-143", "type": "article", "language": "en", "abstract": "ABSTRACT Nowadays, driven by factors such as the rapid growth of online sales, different delivery methods are being explored to improve last‐mile logistics processes. Among these, the combined use of trucks and drones and the option of utilizing parcel lockers as an alternative to home delivery have led to the definition of new optimization problems. In this work, we study the Traveling Salesman Problem with Drone and Lockers (TSP‐DL), the first optimization problem to integrate both of these innovative delivery methods. The goal is to determine the optimal route for a tandem consisting of a truck and a drone to serve a set of customers. Each customer can either be served at home or retrieve their package from a parcel locker where the tandem has delivered it. The objective is to minimize total delivery costs, which depend on the total delivery time and compensation provided by the delivery company to customers served via parcel lockers. We propose a new formulation for the TSP‐DL, strengthened by additional valid inequalities and solved using a Branch‐and‐Cut algorithm. Unlike other formulations in the literature, our approach does not use time variables. Computational experiments on benchmark instances demonstrate that the proposed approach outperforms the current state of the art for the TSP‐DL, providing either optimal solutions or improved bounds for several previously unsolved instances. Additionally, we introduce a new set of benchmark instances to evaluate the scalability of the proposed approach. Finally, we provide managerial insights derived from an analysis of different coordination policies between the truck and the drone.", "keywords": [ "Travelling salesman problem", "Computer science", "Benchmark (surveying)", "Scalability", "Truck", "Drone", "Vehicle routing problem", "Set (abstract data type)", "Operations research", "Mathematical optimization", "Routing (electronic design automation)", "Algorithm" ], "cited_by_openalex": 4, "cited_by_scopus": "4", "eid": "2-s2.0-105003819289", "pii": null, "open_access_url": "https://doi.org/10.1002/net.22280", "sources": [ { "db": "openalex", "stream": "UAV", "query_id": "UAV-1" }, { "db": "scopus", "stream": "UAV", "query_id": "UAV-1" } ], "streams": [ "UAV" ], "relevance_signals": [ "UAV", "TRUCK" ], "auto_exclude_reason": null, "screening_status": "pending_human_screening", "screened_by": "auto-v1.0.0" }, { "id": "doi:10.1016/j.eswa.2025.130816", "doi": "10.1016/j.eswa.2025.130816", "title": "Research on collaborative path planning of UAV swarms for urban logistics distribution in dense building environments", "year": 2025, "authors": [ "Yuanda Lai", "Husheng Wu", "Yuanqing Xia", "Xiaowei Fu", "Dongli Duan", "Aiai Wang", "Meimei Shi" ], "first_author": "Yuanda Lai", "venue": "Expert Systems with Applications", "volume": "305", "pages": null, "type": "article", "language": "en", "abstract": null, "keywords": [ "Motion planning", "Swarm behaviour", "Collision avoidance", "Initialization", "Resilience (materials science)", "Population", "Convergence (economics)", "Path (computing)" ], "cited_by_openalex": 5, "cited_by_scopus": "4", "eid": "2-s2.0-105034474447", "pii": "S0957417425044318", "open_access_url": "https://doi.org/10.1016/j.eswa.2025.130816", "sources": [ { "db": "openalex", "stream": "UAV", "query_id": "UAV-1" }, { "db": "scopus", "stream": "UAV", "query_id": "UAV-1" } ], "streams": [ "UAV" ], "relevance_signals": [ "UAV" ], "auto_exclude_reason": null, "screening_status": "pending_human_screening", "screened_by": "auto-v1.0.0" }, { "id": "doi:10.1080/15568318.2025.2564851", "doi": "10.1080/15568318.2025.2564851", "title": "Investigating the emissions effect of integrating drones into mixed-mode logistics – A case study of a healthcare setting", "year": 2025, "authors": [ "Matt Grote", "Andy Oakey", "Aliaksei Pilko", "Jakub Krol", "Alex Blakesley", "Tom Cherrett", "James P. Scanlan", "Bani Anvari", "Antonio Martínez-Sykora" ], "first_author": "Matt Grote", "venue": "International Journal of Sustainable Transportation", "volume": "19", "pages": "1200-1219", "type": "article", "language": "en", "abstract": "Interest is growing in the potential of using Uncrewed Aerial Vehicles (UAVs; known as drones) for logistics applications (i.e. last-mile payload delivery). Based on case studies of pathology specimens taken from patients at community clinics and transported to central laboratories for analysis, the effect on greenhouse gas emissions of using drones alongside more traditional transport modes (i.e. electric vans (e-vans) and bicycle couriers) in mixed-mode logistics systems was investigated for networks in locations with contrasting geographic characteristics. Results suggested that reductions in emissions of up to 83% were possible compared to e-van-only solutions. Notably, bicycle couriers made a considerable contribution to these reductions in some cases. In general, serving clinics that were remote and/or isolated tended to be where drones could offer a beneficial effect. Using drones was also associated with decreases in payload transit times (up to 76%) but increases in costs (up to 134%), raising a question regarding the true value of expedited delivery in a medical context.", "keywords": [ "Drone", "Payload (computing)", "Greenhouse gas", "Transit (satellite)", "Health care", "City logistics", "Poison control" ], "cited_by_openalex": 4, "cited_by_scopus": "4", "eid": "2-s2.0-105017968167", "pii": null, "open_access_url": "https://www.tandfonline.com/doi/pdf/10.1080/15568318.2025.2564851?needAccess=true", "sources": [ { "db": "openalex", "stream": "UAV", "query_id": "UAV-1" }, { "db": "scopus", "stream": "UAV", "query_id": "UAV-1" } ], "streams": [ "UAV" ], "relevance_signals": [ "UAV" ], "auto_exclude_reason": null, "screening_status": "pending_human_screening", "screened_by": "auto-v1.0.0" }, { "id": "doi:10.3390/drones9070454", "doi": "10.3390/drones9070454", "title": "Parametric Modeling and Evaluation of Departure and Arrival Air Routes for Urban Logistics UAVs", "year": 2025, "authors": [ "Zhong‐Ming Li", "Yifei Zhao", "Xinhui Ren" ], "first_author": "Zhong‐Ming Li", "venue": "Drones", "volume": "9", "pages": null, "type": "article", "language": "en", "abstract": "With the rapid development of the low-altitude economy, the intensive take-offs and landings of Unmanned Aerial Vehicles (UAVs) performing logistics transport tasks in urban areas have introduced significant safety risks. To reduce the likelihood of collisions, logistics operators—such as Meituan, Antwork, and Fengyi—have established fixed departure and arrival air routes above vertiports and designed fixed flight air routes between vertiports to guide UAVs to fly along predefined paths. In the complex and constrained low-altitude urban environment, the design of safe and efficient air routes has undoubtedly become a key enabler for successful operations. This research, grounded in both current theoretical research and real-world logistics UAV operations, defines the concept of UAV logistics air routes and presents a comprehensive description of their structure. A parametric model for one-way round-trip logistics air routes is proposed, along with an air route evaluation model and optimization method. Based on this framework, the research identifies four basic configurations that are commonly adopted for one-way round-trip operations. These configurations can be further improved into two optimized configurations with more balanced performance across multiple metrics. Simulation results reveal that Configuration 1 is only suitable for small-scale transport; as the number of delivery tasks increases, delays grow linearly. When the task volume exceeds 100 operations per 30 min, Configurations 2, 3, and 4 reduce average delay by 88.9%, 89.2%, and 93.3%, respectively, compared with Configuration 1. The research also finds that flight speed along segments and the cruise segment capacity have the most significant influence on delays. Properly increasing these two parameters can lead to a 28.4% reduction in the average delay. The two optimized configurations, derived through further refinement, show better trade-offs between average delay and flight time than any of the fundamental configurations. This research not only provides practical guidance for the planning and design of UAV logistics air routes but also lays a methodological foundation for future developments in UAV scheduling and air route network design.", "keywords": [ "Parametric statistics", "Arrival time", "Parametric model", "Computer science", "Transport engineering", "Aeronautics", "Environmental science", "Geography", "Engineering", "Statistics", "Mathematics" ], "cited_by_openalex": 2, "cited_by_scopus": "4", "eid": "2-s2.0-105011860984", "pii": null, "open_access_url": "https://doi.org/10.3390/drones9070454", "sources": [ { "db": "openalex", "stream": "UAV", "query_id": "UAV-1" }, { "db": "openalex", "stream": "UAV", "query_id": "UAV-3" }, { "db": "scopus", "stream": "UAV", "query_id": "UAV-1" } ], "streams": [ "UAV" ], "relevance_signals": [ "UAV" ], "auto_exclude_reason": null, "screening_status": "pending_human_screening", "screened_by": "auto-v1.0.0" }, { "id": "doi:10.3390/drones9080538", "doi": "10.3390/drones9080538", "title": "Optimized Collaborative Routing for UAVs and Ground Vehicles in Integrated Logistics Systems", "year": 2025, "authors": [ "Hafiz Muhammad Rashid Nazir", "Yanming Sun", "Yongjun Hu" ], "first_author": "Hafiz Muhammad Rashid Nazir", "venue": "Drones", "volume": "9", "pages": null, "type": "article", "language": "en", "abstract": "This study investigates the optimization of urban parcel delivery by integrating logistics vehicles and onboard drones within a static road network. A centralized delivery hub is responsible for coordinating both modes of transport to minimize total vehicle operation costs and customer waiting times. A simulation-based framework is developed to accurately model the delivery process. An enhanced Ant Colony Optimization (ACO) algorithm is proposed, incorporating a multi-objective formulation to improve route planning efficiency. Additionally, a scheduling algorithm is designed to synchronize the operations of multiple delivery bikes and drones, ensuring coordinated execution. The proposed integrated approach yields substantial improvements in both cost and service efficiency. Simulation results demonstrate a 16% reduction in vehicle operation costs and an 8% decrease in average customer waiting times relative to benchmark methods, indicating the practical applicability of the approach in urban logistics scenarios.", "keywords": [ "Vehicle routing problem", "Routing (electronic design automation)", "Ground transportation", "Transport engineering", "Computer science", "Engineering", "Embedded system" ], "cited_by_openalex": 4, "cited_by_scopus": "4", "eid": "2-s2.0-105014496108", "pii": null, "open_access_url": "https://www.mdpi.com/2504-446X/9/8/538/pdf?version=1753891793", "sources": [ { "db": "openalex", "stream": "UAV", "query_id": "UAV-1" }, { "db": "scopus", "stream": "UAV", "query_id": "UAV-1" }, { "db": "scopus", "stream": "UAV", "query_id": "UAV-2" } ], "streams": [ "UAV" ], "relevance_signals": [ "UAV" ], "auto_exclude_reason": null, "screening_status": "pending_human_screening", "screened_by": "auto-v1.0.0" }, { "id": "doi:10.23919/jsee.2025.000048", "doi": "10.23919/jsee.2025.000048", "title": "Aerial-Ground Collaborative Delivery Route Planning with UAV Energy Function and Multi-Delivery", "year": 2025, "authors": [ "Jingfeng Guo", "Rui Song", "Shiwei He" ], "first_author": "Jingfeng Guo", "venue": "Journal of Systems Engineering and Electronics", "volume": null, "pages": null, "type": "article", "language": "en", "abstract": "With the rapid development of low-altitude economy and unmanned aerial vehicles (UAVs) deployment technology, aerial-ground collaborative delivery (AGCD) is emerging as a novel mode of last-mile delivery, where the vehicle and its onboard UAVs are utilized efficiently. Vehicles not only provide delivery services to customers but also function as mobile warehouses and launch/recovery platforms for UAVs. This paper addresses the vehicle routing problem with UAVs considering time window and UAV multi-delivery (VRPU-TW&MD). A mixed integer linear programming (MILP) model is developed to minimize delivery costs while incorporating constraints related to UAV energy consumption. Subsequently, a micro-evolution augmented large neighborhood search (MEALNS) algorithm incorporating adaptive large neighborhood search (ALNS) and micro-evolution mechanism is proposed. Numerical experiments demonstrate the effectiveness of both the model and algorithm in solving the VRPU-TW&MD. The impact of key parameters on delivery performance is explored by sensitivity analysis.", "keywords": [ "Function (biology)", "Energy (signal processing)", "Delivery system", "Integrated project delivery", "Computer science", "Environmental science", "Engineering", "Civil engineering", "Physics", "Biomedical engineering" ], "cited_by_openalex": 4, "cited_by_scopus": 0, "eid": null, "pii": null, "open_access_url": "https://doi.org/10.23919/jsee.2025.000048", "sources": [ { "db": "openalex", "stream": "UAV", "query_id": "UAV-1" }, { "db": "openalex", "stream": "UAV", "query_id": "UAV-2" } ], "streams": [ "UAV" ], "relevance_signals": [ "UAV" ], "auto_exclude_reason": null, "screening_status": "pending_human_screening", "screened_by": "auto-v1.0.0" }, { "id": "doi:10.1109/tits.2025.3618724", "doi": "10.1109/tits.2025.3618724", "title": "Real-Time Enhancements of Digital Twins With Incremental Time Series Data in Networked Air-Ground Cooperative UAV Swarm Systems", "year": 2025, "authors": [ "Mengjie Lee", "Yining Zhu", "Yujiao Hu", "Yan Pan", "Jinchao Chen", "Yuan Yao", "Gang Yang", "Xingshe Zhou" ], "first_author": "Mengjie Lee", "venue": "IEEE Transactions on Intelligent Transportation Systems", "volume": "26", "pages": "22045-22060", "type": "article", "language": null, "abstract": "Unmanned Aerial Vehicles (UAVs) are emerging as a pivotal component in the field of intelligent transportation systems. Leveraging virtual-physical interactions, digital twin technology significantly enhances the adaptability of UAVs in complex traffic environments. However, current approaches still pose three major challenges: contextual adaptability, timely responsiveness, and effective multi-UAV coordination. In this paper, we introduce EnFlexiTwin, a digital twin enhancement assistance platform seamlessly integrated with AdaSor, a lightweight adaptive data selector. EnFlexiTwin automates the construction of incremental learning datasets, enabling real-time enhancements that allow digital twins to adapt to new time series data while preserving historical knowledge. We test EnFlexiTwin on a real-world dataset from low-altitude small-parcel delivery. The results show improved performance and adaptability of digital twins. Furthermore, time-varying simulations on real-world dataset and experiments on a practical air-ground cooperative UAV swarm application highlight that EnFlexiTwin achieves superior enhancements under varying real-time requirements and swarm scale compared to baseline approaches.", "keywords": [ "Adaptability", "Swarm behaviour", "Field (mathematics)", "Component (thermodynamics)", "Baseline (sea)", "Scale (ratio)", "Time series" ], "cited_by_openalex": 2, "cited_by_scopus": "4", "eid": "2-s2.0-105021428822", "pii": null, "open_access_url": "https://doi.org/10.1109/tits.2025.3618724", "sources": [ { "db": "openalex", "stream": "UAV", "query_id": "UAV-1" }, { "db": "scopus", "stream": "UAV", "query_id": "UAV-1" } ], "streams": [ "UAV" ], "relevance_signals": [ "UAV" ], "auto_exclude_reason": null, "screening_status": "pending_human_screening", "screened_by": "auto-v1.0.0" }, { "id": "doi:10.1145/3680207.3765594", "doi": "10.1145/3680207.3765594", "title": "Demo: HawkEye: Practical In-Flight Obstacle Avoidance with Event Camera and LiDAR Fusion", "year": 2025, "authors": [ "Wenhua Ding", "Zhengli Zhang", "Xin Xu", "Haoyang Wang", "Yinan Zhu", "Shilong Ji", "Xin Zhou", "Jingao Xu", "Dongyue Huang", "Xinlei Chen" ], "first_author": "Wenhua Ding", "venue": "ACM Mobicom 2025 Proceedings of the 2025 the 31st Annual International Conference on Mobile Computing and Networking", "volume": null, "pages": "1213-1215", "type": "conference-paper", "language": null, "abstract": "Drones are increasingly used in applications such as last-mile delivery and infrastructure inspection, but their safe operation, especially in high-speed scenarios, remains a critical challenge. Existing vision- and LiDAR-based obstacle localization methods suffer from motion blur, latency, and low spatio-temporal resolution, making them inadequate for detecting and tracking fast-moving objects. In this work, we present HawkEye, a drone obstacle avoidance system that fuses event cameras and LiDAR to achieve high-frequency, accurate 3D tracking of dynamic objects. By leveraging the complementary strengths of both sensors, Hawkeye enables robust real-time sensing and safe evasive maneuvers, addressing a key requirement for the large-scale deployment of autonomous drones. Demo: https://wenhua00.github.io/HawkEye/.", "keywords": [ "Drone", "Obstacle avoidance", "Obstacle", "Software deployment", "Event (particle physics)", "Key (lock)", "Lidar" ], "cited_by_openalex": 1, "cited_by_scopus": "4", "eid": "2-s2.0-105023823783", "pii": null, "open_access_url": "https://dl.acm.org/doi/pdf/10.1145/3680207.3765594", "sources": [ { "db": "openalex", "stream": "UAV", "query_id": "UAV-1" }, { "db": "scopus", "stream": "UAV", "query_id": "UAV-1" } ], "streams": [ "UAV" ], "relevance_signals": [ "UAV" ], "auto_exclude_reason": null, "screening_status": "pending_human_screening", "screened_by": "auto-v1.0.0" }, { "id": "doi:10.1109/tits.2025.3616580", "doi": "10.1109/tits.2025.3616580", "title": "Learning Safe, Optimal, and Real-Time Flight Interaction With Deep Confidence-Enhanced Reachability Guarantee", "year": 2025, "authors": [ "Yuanyuan Zhang", "Yingying Wang", "Penggao Yan", "Weisong Wen" ], "first_author": "Yuanyuan Zhang", "venue": "IEEE Transactions on Intelligent Transportation Systems", "volume": "26", "pages": "23100-23112", "type": "article", "language": "en", "abstract": "In the low-altitude economy, ensuring the safe and agile flight of unmanned aerial vehicles (UAVs) in dynamic obstacle environments is essential for expanding interactive applications like parcel delivery. While deep reinforcement learning (DRL) shows promise for UAV motion planning and control, its trial-and-error exploration often struggles to ensure both agility and safety, especially under uncertain observational noise. Therefore, this paper proposes a deep confidence-enhanced reachability policy optimization (DCRPO) framework. By integrating safe DRL with nonlinear model predictive control (NMPC), DCRPO achieves high-level safety decisions, complex real-time joint planning and control for UAVs. Furthermore, we develop a deep confidence-enhanced reachability guarantee that constructs a set of stochastically forward-reachable planned trajectories under uncertainty, enabling robust safety collision probability certifications. This safe reachability mechanism adaptively selects belief space actions from planned actions to interact with the environment, further enhancing safety and reducing training time. In extensive experiments of UAVs traversing a fast-moving rectangular gate, the proposed method outperforms other state-of-the-art baseline methods under varying environments in terms of operational robustness. Furthermore, the proposed method significantly reduces overall collision violations and training time, greatly improving both training safety and efficiency. The demonstration video (https://youtu.be/7xkp9U7FSJg) and the source code (https://github.com/ZyyFLY/DCRPO) are also provided.", "keywords": [ "Reachability", "Traverse", "Collision avoidance", "Reinforcement learning", "Agile software development", "Motion planning", "Collision", "Robot", "Set (abstract data type)" ], "cited_by_openalex": 2, "cited_by_scopus": "4", "eid": "2-s2.0-105019099058", "pii": null, "open_access_url": "https://doi.org/10.1109/tits.2025.3616580", "sources": [ { "db": "openalex", "stream": "UAV", "query_id": "UAV-1" }, { "db": "scopus", "stream": "UAV", "query_id": "UAV-1" } ], "streams": [ "UAV" ], "relevance_signals": [ "UAV" ], "auto_exclude_reason": null, "screening_status": "pending_human_screening", "screened_by": "auto-v1.0.0" }, { "id": "doi:10.3390/sym17111818", "doi": "10.3390/sym17111818", "title": "Multi-Objective Emergency Path Planning Based on Improved Nondominant Sorting Genetic Algorithm", "year": 2025, "authors": [ "Y B. Yuan", "Hang Xu", "Cuiyong Tang" ], "first_author": "Y B. Yuan", "venue": "Symmetry", "volume": "17", "pages": null, "type": "article", "language": "en", "abstract": "Three-dimensional path planning in emergency logistics is a complex optimization problem, particularly challenging because it requires considering conflicting objectives such as flight time, energy consumption, and obstacle avoidance. Unlike most urban logistics research, this study examines emergency delivery path planning in mountainous environments during natural disasters. One of the most effective approaches to this problem is to employ multi-objective evolutionary algorithms. However, while multi-objective genetic algorithms can handle multiple conflicting objectives, they struggle when dealing with complex constraints. This paper proposes a multi-objective genetic optimization method, Adaptive Crossover-Mutation Multi-Objective Genetic Optimization (ACM-NSGA-II), based on the classic NSGA-II framework. Inspired by the principle of symmetry, this method dynamically adjusts the mutation and crossover rates based on population diversity to maintain a balanced exploration–exploitation trade-off. When population diversity is low, the mutation rate is increased to promote exploration of the solution space; when population diversity is high, the crossover rate is increased to promote better information exchange. The algorithm maintains symmetry by gradually adjusting the step size, balancing adaptability and stability. To address the obstacle avoidance problem, we introduced a dynamic path repair strategy that respects the symmetry of no-fly zone boundaries and terrain features, ensuring the safety and efficiency of Unmanned Aerial Vehicles. This algorithm jointly optimizes three objectives: safety cost, flight time, and energy consumption. The algorithm was tested in a mountainous environment model simulating a remote area. In experiments, ACM-NSGA-II was compared with several mainstream evolutionary algorithms. The Pareto set and hypervolume metrics of each method were recorded and statistically analyzed at a 5% significance level. The results show that ACM-NSGA-II outperforms the baseline algorithms in terms of diversity, convergence, and feasibility. Specifically, compared with the traditional NSGA-II, ACM-NSGA-II improved the average hypervolume metric by 53.39% and reduced the average flight time by 24.26%. ACM-NSGA-II also demonstrated significant advantages over other popular standard algorithms. Experimental results show that it can effectively solve the path planning challenge of emergency logistics Unmanned Aerial Vehicles in mountainous environments.", "keywords": [ "Crossover", "Genetic algorithm", "Population", "Motion planning", "Terrain", "Evolutionary algorithm", "Obstacle", "Sorting", "Obstacle avoidance" ], "cited_by_openalex": 3, "cited_by_scopus": "4", "eid": "2-s2.0-105023067964", "pii": null, "open_access_url": "https://www.mdpi.com/2073-8994/17/11/1818/pdf?version=1761727540", "sources": [ { "db": "openalex", "stream": "UAV", "query_id": "UAV-1" }, { "db": "scopus", "stream": "UAV", "query_id": "UAV-1" } ], "streams": [ "UAV" ], "relevance_signals": [ "UAV" ], "auto_exclude_reason": null, "screening_status": "pending_human_screening", "screened_by": "auto-v1.0.0" }, { "id": "doi:10.1016/j.cie.2025.111714", "doi": "10.1016/j.cie.2025.111714", "title": "Multi-objective home healthcare vehicle routing problem with drone-caregiver cooperation mode", "year": 2025, "authors": [ "Yichen Lu", "Jun Yang", "Chao Yang", "Rui Zheng" ], "first_author": "Yichen Lu", "venue": "Computers & Industrial Engineering", "volume": "213", "pages": null, "type": "article", "language": "en", "abstract": null, "keywords": [ "Task (project management)", "Workload", "Vehicle routing problem", "Service (business)", "Integer programming", "Routing (electronic design automation)", "Population", "Linear programming", "Set (abstract data type)" ], "cited_by_openalex": 4, "cited_by_scopus": "4", "eid": "2-s2.0-105025525218", "pii": "S0360835225008605", "open_access_url": "https://doi.org/10.1016/j.cie.2025.111714", "sources": [ { "db": "openalex", "stream": "UAV", "query_id": "UAV-2" }, { "db": "scopus", "stream": "UAV", "query_id": "UAV-2" } ], "streams": [ "UAV" ], "relevance_signals": [ "UAV_NO_CTX" ], "auto_exclude_reason": "EC-4-topic", "screening_status": "auto_excluded", "screened_by": "auto-v1.0.0" }, { "id": "doi:10.1016/j.cor.2025.107154", "doi": "10.1016/j.cor.2025.107154", "title": "Energy-Efficient UAV routing problem based on approximate cellular decomposition for geohazards monitoring", "year": 2025, "authors": [ "Zonglei Han", "Chao Fang", "Wei Wang", "Jianyu Xu" ], "first_author": "Zonglei Han", "venue": "Computers & Operations Research", "volume": "183", "pages": null, "type": "article", "language": "en", "abstract": null, "keywords": [ "Decomposition", "Computer science", "Routing (electronic design automation)", "Energy (signal processing)", "Mathematical optimization", "Algorithm", "Mathematics", "Statistics", "Computer network", "Chemistry" ], "cited_by_openalex": 4, "cited_by_scopus": "4", "eid": "2-s2.0-105006878358", "pii": "S0305054825001820", "open_access_url": "https://doi.org/10.1016/j.cor.2025.107154", "sources": [ { "db": "openalex", "stream": "UAV", "query_id": "UAV-2" }, { "db": "scopus", "stream": "UAV", "query_id": "UAV-2" } ], "streams": [ "UAV" ], "relevance_signals": [ "UAV_NO_CTX" ], "auto_exclude_reason": "EC-4-topic", "screening_status": "auto_excluded", "screened_by": "auto-v1.0.0" }, { "id": "doi:10.1109/access.2025.3584213", "doi": "10.1109/access.2025.3584213", "title": "Distributionally Robust and Learning-Based Vehicle Routing for Disaster Blood Logistics", "year": 2025, "authors": [ "Imane Hssini" ], "first_author": "Imane Hssini", "venue": "IEEE Access", "volume": "13", "pages": "119538-119550", "type": "article", "language": "en", "abstract": "In humanitarian disasters, delivering blood and blood products rapidly and reliably is critical but logistically complex. This paper proposes a hybrid framework that integrates Distributionally Robust Optimization (DRO) for offline anticipative planning with Contextual Bandits for online adaptive vehicle dispatch. The system coordinates a heterogeneous fleet of ambulances, drones, and robots to navigate uncertain demand, infrastructure degradation, and time-sensitive deliveries. We formulate a two-level approach: a robust vehicle routing problem accounting for moment-based uncertainty in demand, and an online dispatch policy that learns context-aware allocation decisions in real time. Extensive simulations evaluate the proposed method against DRO-only, CB-only, and stochastic routing baselines. Results show that the hybrid approach outperforms all others in robustness, service rate, and delay, while maintaining reasonable computational efficiency.", "keywords": [ "Vehicle routing problem", "Computer science", "Routing (electronic design automation)", "Humanitarian Logistics", "Operations research", "Computer network", "Business", "Engineering", "Industrial organization" ], "cited_by_openalex": 5, "cited_by_scopus": "4", "eid": "2-s2.0-105009861806", "pii": null, "open_access_url": "https://doi.org/10.1109/access.2025.3584213", "sources": [ { "db": "openalex", "stream": "UAV", "query_id": "UAV-2" }, { "db": "scopus", "stream": "UAV", "query_id": "UAV-2" } ], "streams": [ "UAV" ], "relevance_signals": [ "UAV_NO_CTX" ], "auto_exclude_reason": "EC-4-topic", "screening_status": "auto_excluded", "screened_by": "auto-v1.0.0" }, { "id": "doi:10.1109/access.2025.3543007", "doi": "10.1109/access.2025.3543007", "title": "Employing Hybrid Pointer Networks With Deep Reinforcement Learning for Drone Routing in Delivery Using Public Transportation as Carriers", "year": 2025, "authors": [ "Mahmoud Masoud", "Omar Ashraf Ibrahim", "Mohammed Mamdouh Zakaria Elhenawy" ], "first_author": "Mahmoud Masoud", "venue": "IEEE Access", "volume": "13", "pages": "33424-33435", "type": "article", "language": "en", "abstract": "Since the inception of Autonomous Aerial Vehicles (AAVs), also known as drones, and the rapid growth of the AAV industry, significant steps have been taken to design drones for diverse applications. Particularly in the last decade, the industry’s progress has been so swift that novel uses for drones continue to emerge regularly. One field that has demonstrated promising potential for future applications is drone-based delivery services. However, a notable challenge in utilizing drones for deliveries is their limited operational range. To address this challenge, we propose a machine learning model that leverages public transportation vehicles as carriers to extend the range of drones, integrating Hybrid Pointer Networks (HPNs) and Deep Reinforcement Learning (DRL) to solve the complex routing problem. The primary objective is to minimize the total flying distance covered by drones while adhering to the capacity limitations and scheduled routes of public transportation buses. Notably, our model ensures that no drone is serviced if the bus roof capacity is fully utilized. By employing HPNs, we effectively manage complicated interactions between drones, buses, and delivery points, simplifying the optimization process to achieve cutting-edge results. The model was carefully optimized and fine-tuned after being trained in a simulated environment to maximize its performance. Results show that combining drone delivery services with bus service significantly lowers energy usage and improves the system’s capacity to fulfill delivery obligations.", "keywords": [ "Reinforcement learning", "Drone", "Computer science", "Pointer (user interface)", "Routing (electronic design automation)", "Computer network", "Artificial intelligence", "Human–computer interaction" ], "cited_by_openalex": 4, "cited_by_scopus": "4", "eid": "2-s2.0-85218787189", "pii": null, "open_access_url": "https://doi.org/10.1109/access.2025.3543007", "sources": [ { "db": "openalex", "stream": "UAV", "query_id": "UAV-2" }, { "db": "openalex", "stream": "UAV", "query_id": "UAV-3" }, { "db": "scopus", "stream": "UAV", "query_id": "UAV-2" }, { "db": "scopus", "stream": "UAV", "query_id": "UAV-3" } ], "streams": [ "UAV" ], "relevance_signals": [ "UAV_NO_CTX" ], "auto_exclude_reason": "EC-4-topic", "screening_status": "auto_excluded", "screened_by": "auto-v1.0.0" }, { "id": "doi:10.1109/tem.2025.3597937", "doi": "10.1109/tem.2025.3597937", "title": "A Bi-Objective Truck Traveling Salesman Problem With Drone and Boat Considering an Equity-Based Perspective in Disaster Relief Distribution", "year": 2025, "authors": [ "Fadillah Ramadhan", "Chandra Ade Irawan", "Antony Paulraj", "Cai Zhao" ], "first_author": "Fadillah Ramadhan", "venue": "IEEE Transactions on Engineering Management", "volume": "72", "pages": "3704-3719", "type": "article", "language": "en", "abstract": "The distribution of disaster relief is a vital aspect of disaster response, which can reduce victim suffering during the post-disaster phase. Disaster relief distribution is a complex process, especially if available road access is damaged or blocked as a result of a disaster, such as a flood. Using trucks, drones, and in-flatable boats can solve this problem efficiently because drones and boats can access shelter locations that are difficult to serve by conventional vehicles like trucks. However, efficient distribution does not guarantee that the distribution process will be fair, considering that humanitarian logistics focuses more on social aspects, such as equity, which differs from other types of logistics. Therefore, this study aims to develop equity-based bi-objective models for the truck-drone-boat routing problem, referred to as the Bi-Objective Traveling Salesman Problem with Drone and Boat (BTSP-DB). Novel non-linear and linear models for the truck-droneboat routing problems are developed. This study also proposes a matheuristic-based method by combining an exact method and a heuristic, called an ϵ-Constraint with a Dynamic Hill Climbing-based method (EC-DHC) to solve the problem. The computational results of the case study and the generated datasets show that the method produces promising results, followed by providing valuable managerial implications for handling the flood disaster relief distribution problem", "keywords": [ "Travelling salesman problem", "Drone", "Perspective (graphical)", "Equity (law)", "Truck", "Distribution (mathematics)", "Operations research", "Aeronautics", "Computer science", "Transport engineering", "Engineering", "Artificial intelligence" ], "cited_by_openalex": 3, "cited_by_scopus": "4", "eid": "2-s2.0-105013602109", "pii": null, "open_access_url": "https://doi.org/10.1109/tem.2025.3597937", "sources": [ { "db": "openalex", "stream": "UAV", "query_id": "UAV-2" }, { "db": "scopus", "stream": "UAV", "query_id": "UAV-2" } ], "streams": [ "UAV" ], "relevance_signals": [ "UAV_NO_CTX", "TRUCK_NO_CTX" ], "auto_exclude_reason": "EC-4-topic", "screening_status": "auto_excluded", "screened_by": "auto-v1.0.0" }, { "id": "doi:10.1016/j.ejor.2025.02.007", "doi": "10.1016/j.ejor.2025.02.007", "title": "A column generation-based matheuristic for an inventory-routing problem with driver-route consistency", "year": 2025, "authors": [ "Waleed Najy", "Claudia Archetti", "Ali H. Diabat" ], "first_author": "Waleed Najy", "venue": "European Journal of Operational Research", "volume": "324", "pages": "382-397", "type": "article", "language": "en", "abstract": null, "keywords": [ "Column generation", "Computer science", "Column (typography)", "Vehicle routing problem", "Consistency (knowledge bases)", "Routing (electronic design automation)", "Mathematical optimization", "Operations research", "Mathematics", "Computer network", "Artificial intelligence" ], "cited_by_openalex": 4, "cited_by_scopus": "4", "eid": "2-s2.0-105002694674", "pii": "S0377221725001109", "open_access_url": "https://doi.org/10.1016/j.ejor.2025.02.007", "sources": [ { "db": "openalex", "stream": "UAV", "query_id": "UAV-2" }, { "db": "scopus", "stream": "UAV", "query_id": "UAV-2" } ], "streams": [ "UAV" ], "relevance_signals": [ "NO_TECHNOLOGY_MATCH" ], "auto_exclude_reason": "EC-4-topic", "screening_status": "auto_excluded", "screened_by": "auto-v1.0.0" }, { "id": "doi:10.1007/s00607-025-01442-x", "doi": "10.1007/s00607-025-01442-x", "title": "A reliable multi-path cluster routing method for ground-air cooperative flying ad-hoc networks", "year": 2025, "authors": [ "Liming Liu", "Wenxuan Xu", "Yanling Shao", "Wenyong Dong", "Hairui Xu", "Hewen Gao", "Pingping Shan", "Junying Guo" ], "first_author": "Liming Liu", "venue": "Computing", "volume": "107", "pages": null, "type": "article", "language": "en", "abstract": null, "keywords": [ "Wireless ad hoc network", "Computer science", "Path (computing)", "Mobile ad hoc network", "Routing (electronic design automation)", "Cluster (spacecraft)", "Computer network", "Optimized Link State Routing Protocol", "Routing protocol", "Telecommunications" ], "cited_by_openalex": 3, "cited_by_scopus": "4", "eid": "2-s2.0-85219608312", "pii": null, "open_access_url": "https://doi.org/10.1007/s00607-025-01442-x", "sources": [ { "db": "openalex", "stream": "UAV", "query_id": "UAV-2" }, { "db": "scopus", "stream": "UAV", "query_id": "UAV-2" } ], "streams": [ "UAV" ], "relevance_signals": [ "NO_TECHNOLOGY_MATCH" ], "auto_exclude_reason": "EC-4-topic", "screening_status": "auto_excluded", "screened_by": "auto-v1.0.0" }, { "id": "doi:10.1007/s42405-025-00932-8", "doi": "10.1007/s42405-025-00932-8", "title": "Noise Modeling of Urban Vertiport Areas Depending on the K-UAM Operation", "year": 2025, "authors": [ "Seungmin Lee", "Seong-Yong Wie", "Chan-Hoon Haan" ], "first_author": "Seungmin Lee", "venue": "International Journal of Aeronautical and Space Sciences", "volume": "26", "pages": "2968-2983", "type": "article", "language": "en", "abstract": null, "keywords": [ "Noise (video)", "Acoustics", "Environmental science", "Computer science", "Physics" ], "cited_by_openalex": 4, "cited_by_scopus": "4", "eid": "2-s2.0-105001721404", "pii": null, "open_access_url": "https://doi.org/10.1007/s42405-025-00932-8", "sources": [ { "db": "openalex", "stream": "UAV", "query_id": "UAV-3" }, { "db": "scopus", "stream": "UAV", "query_id": "UAV-3" } ], "streams": [ "UAV" ], "relevance_signals": [ "UAV_NO_CTX" ], "auto_exclude_reason": "EC-4-topic", "screening_status": "auto_excluded", "screened_by": "auto-v1.0.0" }, { "id": "doi:10.20944/preprints202503.0773.v1", "doi": "10.20944/preprints202503.0773.v1", "title": "Network Topology-Driven Vertiport Placement Strategy: Integrating Urban Air Mobility with the Seoul Metropolitan railway system", "year": 2025, "authors": [ "Ki-Han Song", "HaJeong Lee" ], "first_author": "Ki-Han Song", "venue": "Preprints.org", "volume": null, "pages": null, "type": "preprint", "language": "en", "abstract": "We propose a vertiport location-allocation methodology for Urban Air Mobility (UAM) from the perspective of transportation network topology. The location allocation of vertiports within a transportation network is a crucial factor in determining the unique characteristics of UAM compared to existing transportation modes. However, as UAM is still in the pre-commercialization phase with significant uncertainties, there are limitations in applying location-allocation models that optimize objective functions such as maximizing service coverage or minimizing travel distance. Instead, vertiport location-allocation should be approached from a strategic perspective, taking into account public capital investments aimed at improving the transportation network by leveraging UAM’s distinct characteristics compared to existing urban transportation modes. Therefore, we present a methodology for evaluating the impact of vertiport location-allocation strategies on changes in transportation network topology. To analyze network topology, we use the Seoul Metropolitan railway network as the base network and construct scenarios where vertiports are allocated based on highly connected nodes and those prioritizing structurally vulnerable nodes. We then compare and analyze global network efficiency, algebraic connectivity, average shortest path length, local clustering coefficient, transitivity, degree assortativity and modularity. We confirm that while allocating vertiports based on network centrality improves connectivity compared to vulnerability-based allocation, the latter approach is superior in terms of network efficiency. Additionally, as the proportion of vertiports increases, the small-world property of the network rapidly increases, indicating that the vertiport network can fundamentally alter the structure of multimodal transportation systems. Regardless of whether centrality or vulnerability is prioritized, we observe that connectivity increase exponentially, while network efficiency changes linearly with the increase in vertiport proportion. Our findings highlight the necessity of a network-based approach to vertiport location-allocation in the early stages of UAM commercialization, and we expect our results to inform future research directions on vertiport allocation in multimodal transportation networks.", "keywords": [ "Metropolitan area", "Topology (electrical circuits)", "Network topology", "Transport engineering", "Computer science", "Geography", "Computer network", "Engineering", "Electrical engineering" ], "cited_by_openalex": 4, "cited_by_scopus": 0, "eid": null, "pii": null, "open_access_url": "https://doi.org/10.20944/preprints202503.0773.v1", "sources": [ { "db": "openalex", "stream": "UAV", "query_id": "UAV-3" } ], "streams": [ "UAV" ], "relevance_signals": [ "UAV" ], "auto_exclude_reason": null, "screening_status": "pending_human_screening", "screened_by": "auto-v1.0.0" }, { "id": "doi:10.3390/aerospace12050382", "doi": "10.3390/aerospace12050382", "title": "Variable Aircraft Spacing Quadratic Bézier Curve Trajectory Planning for Cascading Delay Mitigation", "year": 2025, "authors": [ "Michael R. Variny", "Travis W. Moleski", "Jay Paul Wilhelm" ], "first_author": "Michael R. Variny", "venue": "Aerospace", "volume": "12", "pages": null, "type": "article", "language": "en", "abstract": "Congested airspace conflict resolution during terminal operations is a common air traffic management issue that may produce cascading delays. Vehicles needing emergency clearance to land, at either traditional airports or vertiports, would require others on approach to move out of the way and, in some instances, cause a wave of delay to propagate through all vehicles on approach. Specifically, uncrewed aerial systems utilizing near-maximum arrival rates would be greatly impacted when requested to move off their approach path and may interfere with others. Vertiports further complicate crowded approaches because vehicles can arrive from many different angles at the same time to maximize landing area usage. Traditional air traffic management techniques were studied for vertiport applications specific to high-capacity operations. This work investigated methods of uniformly re-directing vehicles on approach to a vertiport that would be impacted by an emergency vehicle to minimize or avoid cascading delays. A route of time-optimal Bézier curves as well as Dubins paths optimized for interception heading was generated and flown on as an alternate maneuver when an unaccounted-for emergency vehicle initiated a bypass of an air traffic fleet. A comparison to flight on a holding pattern showed that the Bézier and Dubins route improved delay times and mitigated a cascading delay effect.", "keywords": [ "Quadratic equation", "Trajectory", "Variable (mathematics)", "Bézier curve", "Quadratic model", "Computer science", "Control theory (sociology)", "Mathematics", "Physics", "Geometry", "Mathematical analysis", "Control (management)" ], "cited_by_openalex": 4, "cited_by_scopus": "4", "eid": "2-s2.0-105006438162", "pii": null, "open_access_url": "https://www.mdpi.com/2226-4310/12/5/382/pdf?version=1745913646", "sources": [ { "db": "openalex", "stream": "UAV", "query_id": "UAV-3" }, { "db": "scopus", "stream": "UAV", "query_id": "UAV-3" } ], "streams": [ "UAV" ], "relevance_signals": [ "UAV_NO_CTX" ], "auto_exclude_reason": "EC-4-topic", "screening_status": "auto_excluded", "screened_by": "auto-v1.0.0" }, { "id": "doi:10.1016/j.cstp.2025.101673", "doi": "10.1016/j.cstp.2025.101673", "title": "Equity analysis of urban transportation network resilience with urban air mobility integration", "year": 2025, "authors": [ "Zhiao Ma", "Zhuowei Wang", "Yiyang Peng", "Yingying Xu", "Anthony Chen", "Xin Yang", "Jianjun Wu" ], "first_author": "Zhiao Ma", "venue": "Case Studies on Transport Policy", "volume": "23", "pages": null, "type": "article", "language": "en", "abstract": null, "keywords": [ "Software deployment", "Beijing", "Resilience (materials science)", "Megacity", "Equity (law)", "Urban resilience", "Cluster analysis" ], "cited_by_openalex": 4, "cited_by_scopus": "4", "eid": "2-s2.0-105023647818", "pii": "S2213624X25003104", "open_access_url": "https://doi.org/10.1016/j.cstp.2025.101673", "sources": [ { "db": "openalex", "stream": "UAV", "query_id": "UAV-3" }, { "db": "scopus", "stream": "UAV", "query_id": "UAV-3" } ], "streams": [ "UAV" ], "relevance_signals": [ "NO_TECHNOLOGY_MATCH" ], "auto_exclude_reason": "EC-4-topic", "screening_status": "auto_excluded", "screened_by": "auto-v1.0.0" }, { "id": "doi:10.1177/02783649251339772", "doi": "10.1177/02783649251339772", "title": "A center-less quadrotor design with a soft enveloping grasper for aerial grasping and delivery tasks", "year": 2025, "authors": [ "Yu Herng Tan", "Wenjie Li", "Huichan Zhao" ], "first_author": "Yu Herng Tan", "venue": "The International Journal of Robotics Research", "volume": "44", "pages": "2215-2234", "type": "article", "language": "en", "abstract": "Unmanned aerial vehicles (UAVs) are a fast and effective platform that can be used for item delivery. However, the use of a conventional multirotor structure often require the payload to be manually loaded and unloaded, increasing the turnaround times and reducing efficiency of such systems. While adding a conventional gripper can enable grasping and releasing of payload, the typical solution of attaching such grippers in an underslung manner below the UAV leads to undesirable flight dynamics when payload is carried. In this paper, we aim to unify the goal of effective aerial delivery with direct grasping capabilities, improving the flight dynamics of load-carrying UAVs while enabling loading and unloading of payload without human presence or external receiving stations. To do so, we propose a design that optimizes the structure of UAVs for payload transportation by hollowing out the center of the UAV for the payload bay. This positioning of the payload prevents large changes in the center of mass and moment of inertia of the UAV between loaded and unloaded states, hence improving the control authority of the vehicle. Combined with a soft enveloping grasper, the proposed UAV successfully demonstrated the full mission profile of approach, capture, grasp, carry, and release. In addition, grasping an object from below as well as controlled perching were also performed with the same grasper, demonstrating its multifunctionality. The proposed UAV configuration in this work provides a compact, adaptable, and dynamically stable aerial grasping platform and strategy for delivery and pick-and-place tasks.", "keywords": [ "Computer science", "Center (category theory)", "Human–computer interaction", "Engineering", "Simulation", "Artificial intelligence", "Computer vision" ], "cited_by_openalex": 5, "cited_by_scopus": "4", "eid": "2-s2.0-105005573578", "pii": null, "open_access_url": "https://doi.org/10.1177/02783649251339772", "sources": [ { "db": "openalex", "stream": "UAV", "query_id": "UAV-3" }, { "db": "scopus", "stream": "UAV", "query_id": "UAV-3" } ], "streams": [ "UAV" ], "relevance_signals": [ "UAV_NO_CTX" ], "auto_exclude_reason": "EC-4-topic", "screening_status": "auto_excluded", "screened_by": "auto-v1.0.0" }, { "id": "doi:10.1016/j.tranpol.2025.05.021", "doi": "10.1016/j.tranpol.2025.05.021", "title": "Urban and regional Air Mobility (URAM) and relocation decisions in the United States: Insights from a machine learning-supported path analysis", "year": 2025, "authors": [ "Ningzhe Xu", "Javier Pena-Bastidas", "Chenxuan Yang", "Jun Liu", "Trayce Hockstad", "Steven L. Jones" ], "first_author": "Ningzhe Xu", "venue": "Transport Policy", "volume": "170", "pages": "92-109", "type": "article", "language": "en", "abstract": null, "keywords": [ "Relocation", "Transport engineering", "Path (computing)", "Business", "Computer science", "Engineering", "Computer network" ], "cited_by_openalex": 4, "cited_by_scopus": "4", "eid": "2-s2.0-105005602476", "pii": "S0967070X25002008", "open_access_url": "https://doi.org/10.1016/j.tranpol.2025.05.021", "sources": [ { "db": "openalex", "stream": "UAV", "query_id": "UAV-3" }, { "db": "scopus", "stream": "UAV", "query_id": "UAV-3" } ], "streams": [ "UAV" ], "relevance_signals": [ "NO_TECHNOLOGY_MATCH" ], "auto_exclude_reason": "EC-4-topic", "screening_status": "auto_excluded", "screened_by": "auto-v1.0.0" }, { "id": "doi:10.1016/j.sftr.2025.100586", "doi": "10.1016/j.sftr.2025.100586", "title": "The potential role of air taxis in reducing emissions and enhancing mobility: A case study of the Philippines", "year": 2025, "authors": [ "Arthur Dela Peña" ], "first_author": "Arthur Dela Peña", "venue": "Sustainable Futures", "volume": "9", "pages": null, "type": "article", "language": "en", "abstract": "Rapid urbanization in the Philippines has exacerbated traffic congestion, increased emissions, and led to inefficiencies in public transportation. This study investigates the feasibility of air taxis as a sustainable solution to these challenges. Using a mixed-methods approach, the research evaluates the potential of air taxis in reducing commute time and carbon emissions through public surveys ( n = 384), expert interviews ( n = 10), and case studies from Dubai and Los Angeles. Modeling suggests that air taxis could reduce travel times by up to 55 % and lower CO₂ emissions by 30 %, assuming optimal adoption and integration of clean energy. Survey results indicate strong public interest (72 %), but key concerns persist regarding safety (30 %), noise (25 %), and affordability (22 %). Experts emphasized the need for updated regulations, vertiport infrastructure, and airspace management. The study highlights that while air taxis will not replace mass transit, they could serve as a premium, on-demand option in high-density urban corridors. Successful adoption will depend on strategic investments, inclusive pricing models, and integration with existing transport systems. The findings offer evidence-based recommendations for urban planners, aviation regulators, and policymakers in developing countries. Future research should investigate pilot programs, their economic viability, and the long-term environmental impact.", "keywords": [ "Taxis", "Environmental science", "Business", "Environmental planning", "Environmental health", "Transport engineering", "Medicine", "Engineering" ], "cited_by_openalex": 3, "cited_by_scopus": "4", "eid": "2-s2.0-105001803416", "pii": "S266618882500156X", "open_access_url": "https://doi.org/10.1016/j.sftr.2025.100586", "sources": [ { "db": "openalex", "stream": "UAV", "query_id": "UAV-3" }, { "db": "scopus", "stream": "UAV", "query_id": "UAV-3" } ], "streams": [ "UAV" ], "relevance_signals": [ "UAV_NO_CTX" ], "auto_exclude_reason": "EC-4-topic", "screening_status": "auto_excluded", "screened_by": "auto-v1.0.0" }, { "id": "doi:10.2514/6.2025-0580", "doi": "10.2514/6.2025-0580", "title": "Energy-Aware Strategic Traffic Management for Urban Air Mobility", "year": 2025, "authors": [ "Abenezer G. Taye", "Shulu Chen", "Peng Wei" ], "first_author": "Abenezer G. Taye", "venue": "AIAA Science and Technology Forum and Exposition AIAA Scitech Forum 2025", "volume": null, "pages": null, "type": "conference-paper", "language": "en", "abstract": "This paper presents a traffic management framework for urban air mobility (UAM) operations that addresses the dual challenge of safe traffic management and energy efficiency. To address this challenge, the framework adopts a mixed-integer linear programming (MILP) approach to formulate the energy-aware strategic traffic management problem. Inputs to the framework include offline-computed energy consumption for each route across a range of cruise speeds, along with online-estimated airspace capacity and traffic demands. Based on these inputs, the framework employs the MILP model to assign optimal ground delays and speed profiles to each aircraft. Finally, we demonstrate the efficacy of the proposed framework on a UAM scenario designed for the Dallas-Fort Worth area. The results demonstrate the framework's potential to enhance operational safety, time and energy efficiency, and balance energy consumption with vertiport resource utilization.", "keywords": [ "Energy management", "Transport engineering", "Computer science", "Mobility management", "Energy (signal processing)", "Business", "Telecommunications", "Engineering" ], "cited_by_openalex": 2, "cited_by_scopus": "4", "eid": "2-s2.0-105001422022", "pii": null, "open_access_url": "https://doi.org/10.2514/6.2025-0580", "sources": [ { "db": "openalex", "stream": "UAV", "query_id": "UAV-3" }, { "db": "scopus", "stream": "UAV", "query_id": "UAV-3" } ], "streams": [ "UAV" ], "relevance_signals": [ "UAV_NO_CTX" ], "auto_exclude_reason": "EC-4-topic", "screening_status": "auto_excluded", "screened_by": "auto-v1.0.0" }, { "id": "doi:10.3390/drones10010022", "doi": "10.3390/drones10010022", "title": "Airport Ground-Based Aerial Object Surveillance Technologies for Enhanced Safety: A Systematic Review", "year": 2025, "authors": [ "Joel Samu", "Chuyang Yang" ], "first_author": "Joel Samu", "venue": "Drones", "volume": "10", "pages": null, "type": "review", "language": "en", "abstract": "Airport airspace safety is increasingly threatened by small, unmanned aircraft systems and wildlife that traditional radar cannot detect. While earlier reviews addressed general counter-UAS techniques, individual sensors, or the detection of single objects such as birds or drones, none has systematically reviewed airport-based, multi-sensor surveillance strategies through a safety-theoretical lens. A systematic review, performed according to the Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) 2020 statement, synthesized recent research on fixed, ground-based aerial detection capabilities for small aerial hazards, specifically unmanned aircraft systems (sUAS) and avian targets, within operational airport environments. Searches targeted English-language, peer-reviewed articles from 2016 through 2025 in Web of Science and Scopus. Due to methodological heterogeneity across sensor technologies, a narrative synthesis was executed. The review of thirty-six studies, analyzed through Reason’s Swiss Cheese Model and Endsley’s Situational Awareness framework, found that only layered multi-sensor fusion architectures effectively address detection gaps for Low-Slow-Small (LSS) threats. Based on these findings, the review proposes seamless integration with Air Traffic Management (ATM) and UAS Traffic Management (UTM) systems through standardized data-exchange interfaces, complemented by theoretically grounded risk-based deployment strategies aligning surveillance technology tiers with operational risk profiles, from basic Remote ID receivers in low-risk rural environments to comprehensive multi-sensor fusion at high-density hubs, major airports, and urban vertiports.", "keywords": [ "Software deployment", "Situation awareness", "Secondary surveillance radar", "Sensor fusion", "Radar", "Air traffic control", "Drone", "Air traffic control radar beacon system" ], "cited_by_openalex": 3, "cited_by_scopus": "4", "eid": "2-s2.0-105028510066", "pii": null, "open_access_url": "https://www.mdpi.com/2504-446X/10/1/22/pdf?version=1767190501", "sources": [ { "db": "openalex", "stream": "UAV", "query_id": "UAV-3" }, { "db": "scopus", "stream": "UAV", "query_id": "UAV-3" } ], "streams": [ "UAV" ], "relevance_signals": [ "UAV_NO_CTX" ], "auto_exclude_reason": "EC-4-topic", "screening_status": "auto_excluded", "screened_by": "auto-v1.0.0" }, { "id": "doi:10.1016/j.conengprac.2025.106519", "doi": "10.1016/j.conengprac.2025.106519", "title": "Deep reinforcement learning approach to autonomous landing of eVTOL vehicles for advanced air mobility", "year": 2025, "authors": [ "Sabrullah Deniz", "Ali Barzegar", "Fatma Yamac Sagirli", "Katherine N. Vasiloff", "Zhenbo Wang" ], "first_author": "Sabrullah Deniz", "venue": "Control Engineering Practice", "volume": "164", "pages": null, "type": "article", "language": "en", "abstract": null, "keywords": [ "Reinforcement learning", "Aeronautics", "Computer science", "Engineering", "Artificial intelligence", "Automotive engineering", "Transport engineering", "Simulation" ], "cited_by_openalex": 3, "cited_by_scopus": "4", "eid": "2-s2.0-105012382391", "pii": "S0967066125002813", "open_access_url": "https://doi.org/10.1016/j.conengprac.2025.106519", "sources": [ { "db": "openalex", "stream": "UAV", "query_id": "UAV-3" }, { "db": "scopus", "stream": "UAV", "query_id": "UAV-3" } ], "streams": [ "UAV" ], "relevance_signals": [ "NO_TECHNOLOGY_MATCH" ], "auto_exclude_reason": "EC-4-topic", "screening_status": "auto_excluded", "screened_by": "auto-v1.0.0" }, { "id": "doi:10.1186/s12544-024-00701-w", "doi": "10.1186/s12544-024-00701-w", "title": "Improving urban delivery with extended cargo bikes: a simulation-based study on the impact of double-parking on urban traffic flow", "year": 2025, "authors": [ "Klatte M." ], "first_author": "Klatte M.", "venue": "European Transport Research Review", "volume": "17", "pages": null, "type": "Article", "language": null, "abstract": null, "keywords": [], "cited_by_openalex": 0, "cited_by_scopus": "4", "eid": "2-s2.0-105001654082", "pii": null, "open_access_url": null, "sources": [ { "db": "scopus", "stream": "TRUCK", "query_id": "TRUCK-1" }, { "db": "scopus", "stream": "TRUCK", "query_id": "TRUCK-3" } ], "streams": [ "TRUCK" ], "relevance_signals": [ "NO_TECHNOLOGY_MATCH" ], "auto_exclude_reason": "EC-4-topic", "screening_status": "auto_excluded", "screened_by": "auto-v1.0.0" }, { "id": "doi:10.1016/j.trd.2025.104918", "doi": "10.1016/j.trd.2025.104918", "title": "The impacts of port truck traffic's temporal patterns on emissions", "year": 2025, "authors": [ "Amaral J.C." ], "first_author": "Amaral J.C.", "venue": "Transportation Research Part D Transport and Environment", "volume": "146", "pages": null, "type": "Article", "language": null, "abstract": null, "keywords": [], "cited_by_openalex": 0, "cited_by_scopus": "4", "eid": "2-s2.0-105011178818", "pii": "S1361920925003281", "open_access_url": null, "sources": [ { "db": "scopus", "stream": "TRUCK", "query_id": "TRUCK-1" } ], "streams": [ "TRUCK" ], "relevance_signals": [ "TRUCK_NO_CTX" ], "auto_exclude_reason": "EC-4-topic", "screening_status": "auto_excluded", "screened_by": "auto-v1.0.0" }, { "id": "doi:10.1080/15389588.2024.2413143", "doi": "10.1080/15389588.2024.2413143", "title": "Managing the road safety risks of last mile deliveries: Do telematics have a role to play?", "year": 2025, "authors": [ "Christie N." ], "first_author": "Christie N.", "venue": "Traffic Injury Prevention", "volume": "26", "pages": "300-306", "type": "Article", "language": null, "abstract": null, "keywords": [], "cited_by_openalex": 0, "cited_by_scopus": "4", "eid": "2-s2.0-105002940152", "pii": null, "open_access_url": null, "sources": [ { "db": "scopus", "stream": "TRUCK", "query_id": "TRUCK-1" } ], "streams": [ "TRUCK" ], "relevance_signals": [ "NO_TECHNOLOGY_MATCH" ], "auto_exclude_reason": "EC-4-topic", "screening_status": "auto_excluded", "screened_by": "auto-v1.0.0" }, { "id": "doi:10.1016/j.trb.2025.103249", "doi": "10.1016/j.trb.2025.103249", "title": "End-to-end logistics in metropolitan areas: A stochastic dynamic order-assignment and dispatching problem", "year": 2025, "authors": [ "Zamal M.A." ], "first_author": "Zamal M.A.", "venue": "Transportation Research Part B Methodological", "volume": "199", "pages": null, "type": "Article", "language": null, "abstract": null, "keywords": [], "cited_by_openalex": 0, "cited_by_scopus": "4", "eid": "2-s2.0-105007337619", "pii": "S0191261525000980", "open_access_url": null, "sources": [ { "db": "scopus", "stream": "TRUCK", "query_id": "TRUCK-2" } ], "streams": [ "TRUCK" ], "relevance_signals": [ "NO_TECHNOLOGY_MATCH" ], "auto_exclude_reason": "EC-4-topic", "screening_status": "auto_excluded", "screened_by": "auto-v1.0.0" }, { "id": "doi:10.16381/j.cnki.issn1003-207x.2022.1252", "doi": "10.16381/j.cnki.issn1003-207x.2022.1252", "title": "Effects Analyses of Delivery Fleet Renewal Policies Considering Electric Vehicle Deployment and Routing Optimization", "year": 2025, "authors": [ "Gao Y." ], "first_author": "Gao Y.", "venue": "Chinese Journal of Management Science", "volume": "33", "pages": "156-165", "type": "Article", "language": null, "abstract": null, "keywords": [], "cited_by_openalex": 0, "cited_by_scopus": "4", "eid": "2-s2.0-105048645828", "pii": null, "open_access_url": null, "sources": [ { "db": "scopus", "stream": "TRUCK", "query_id": "TRUCK-2" } ], "streams": [ "TRUCK" ], "relevance_signals": [ "NO_TECHNOLOGY_MATCH" ], "auto_exclude_reason": "EC-4-topic", "screening_status": "auto_excluded", "screened_by": "auto-v1.0.0" }, { "id": "doi:10.1016/j.cor.2025.107183", "doi": "10.1016/j.cor.2025.107183", "title": "Multi-door cross-dock scheduling under flexible doors mode and material handling resource restrictions", "year": 2025, "authors": [ "Eti N.A." ], "first_author": "Eti N.A.", "venue": "Computers and Operations Research", "volume": "183", "pages": null, "type": "Article", "language": null, "abstract": null, "keywords": [], "cited_by_openalex": 0, "cited_by_scopus": "4", "eid": "2-s2.0-105009595748", "pii": "S0305054825002114", "open_access_url": null, "sources": [ { "db": "scopus", "stream": "TRUCK", "query_id": "TRUCK-3" } ], "streams": [ "TRUCK" ], "relevance_signals": [ "NO_TECHNOLOGY_MATCH" ], "auto_exclude_reason": "EC-4-topic", "screening_status": "auto_excluded", "screened_by": "auto-v1.0.0" }, { "id": "doi:10.13195/j.kzyjc.2024.1042", "doi": "10.13195/j.kzyjc.2024.1042", "title": "Collaborative optimization of door-to-door transport routes and drayage truck scheduling in container intermodal transport", "year": 2025, "authors": [ "He W." ], "first_author": "He W.", "venue": "Kongzhi Yu Juece Control and Decision", "volume": "40", "pages": "2175-2184", "type": "Article", "language": null, "abstract": null, "keywords": [], "cited_by_openalex": 0, "cited_by_scopus": "4", "eid": "2-s2.0-105007301188", "pii": null, "open_access_url": null, "sources": [ { "db": "scopus", "stream": "TRUCK", "query_id": "TRUCK-3" } ], "streams": [ "TRUCK" ], "relevance_signals": [ "TRUCK_NO_CTX" ], "auto_exclude_reason": "EC-4-topic", "screening_status": "auto_excluded", "screened_by": "auto-v1.0.0" }, { "id": "doi:10.1016/j.sca.2025.100153", "doi": "10.1016/j.sca.2025.100153", "title": "A metaheuristic approach for optimizing drone routing in healthcare supply chains", "year": 2025, "authors": [ "Lakhwani T.S." ], "first_author": "Lakhwani T.S.", "venue": "Supply Chain Analytics", "volume": "12", "pages": null, "type": "Article", "language": null, "abstract": null, "keywords": [], "cited_by_openalex": 0, "cited_by_scopus": "4", "eid": "2-s2.0-105014109824", "pii": "S2949863525000536", "open_access_url": null, "sources": [ { "db": "scopus", "stream": "UAV", "query_id": "UAV-2" } ], "streams": [ "UAV" ], "relevance_signals": [ "UAV_NO_CTX" ], "auto_exclude_reason": "EC-4-topic", "screening_status": "auto_excluded", "screened_by": "auto-v1.0.0" }, { "id": "doi:10.3778/j.issn.1002-8331.2408-0412", "doi": "10.3778/j.issn.1002-8331.2408-0412", "title": "Collaborative Truck-Drone Routing for Mountainous Fresh Produce Collection", "year": 2025, "authors": [ "Fu Z." ], "first_author": "Fu Z.", "venue": "Computer Engineering and Applications", "volume": "61", "pages": "332-342", "type": "Article", "language": null, "abstract": null, "keywords": [], "cited_by_openalex": 0, "cited_by_scopus": "4", "eid": "2-s2.0-105010843603", "pii": null, "open_access_url": null, "sources": [ { "db": "scopus", "stream": "UAV", "query_id": "UAV-2" } ], "streams": [ "UAV" ], "relevance_signals": [ "UAV_NO_CTX", "TRUCK_NO_CTX" ], "auto_exclude_reason": "EC-4-topic", "screening_status": "auto_excluded", "screened_by": "auto-v1.0.0" }, { "id": "doi:10.16182/j.issn1004731x.joss.23-1022", "doi": "10.16182/j.issn1004731x.joss.23-1022", "title": "Vehicle Routing Problem with Drones Considering Zoned Distribution of Epidemic Prevention Materials", "year": 2025, "authors": [ "Ma H." ], "first_author": "Ma H.", "venue": "Xitong Fangzhen Xuebao Journal of System Simulation", "volume": "37", "pages": "234-244", "type": "Article", "language": null, "abstract": null, "keywords": [], "cited_by_openalex": 0, "cited_by_scopus": "4", "eid": "2-s2.0-85216868912", "pii": null, "open_access_url": null, "sources": [ { "db": "scopus", "stream": "UAV", "query_id": "UAV-2" } ], "streams": [ "UAV" ], "relevance_signals": [ "UAV_NO_CTX" ], "auto_exclude_reason": "EC-4-topic", "screening_status": "auto_excluded", "screened_by": "auto-v1.0.0" }, { "id": "doi:10.1109/tgcn.2025.3547888", "doi": "10.1109/tgcn.2025.3547888", "title": "Opportunistic Routing in Drone-Augmented Mobile Social Networks", "year": 2025, "authors": [ "Takenaka K." ], "first_author": "Takenaka K.", "venue": "IEEE Transactions on Green Communications and Networking", "volume": "9", "pages": "1602-1615", "type": "Article", "language": null, "abstract": null, "keywords": [], "cited_by_openalex": 0, "cited_by_scopus": "4", "eid": "2-s2.0-86000338545", "pii": null, "open_access_url": null, "sources": [ { "db": "scopus", "stream": "UAV", "query_id": "UAV-2" } ], "streams": [ "UAV" ], "relevance_signals": [ "UAV_NO_CTX" ], "auto_exclude_reason": "EC-4-topic", "screening_status": "auto_excluded", "screened_by": "auto-v1.0.0" }, { "id": "doi:10.19961/j.cnki.1672-4747.2025.04.003", "doi": "10.19961/j.cnki.1672-4747.2025.04.003", "title": "Locating urban flying car vertiports part I：a multi-objective optimization method based on bi-level programming", "year": 2025, "authors": [ "Shen Y." ], "first_author": "Shen Y.", "venue": "Journal of Transportation Engineering and Information", "volume": "23", "pages": "74-87", "type": "Article", "language": null, "abstract": null, "keywords": [], "cited_by_openalex": 0, "cited_by_scopus": "4", "eid": "2-s2.0-105021936231", "pii": null, "open_access_url": null, "sources": [ { "db": "scopus", "stream": "UAV", "query_id": "UAV-3" } ], "streams": [ "UAV" ], "relevance_signals": [ "UAV_NO_CTX" ], "auto_exclude_reason": "EC-4-topic", "screening_status": "auto_excluded", "screened_by": "auto-v1.0.0" }, { "id": "doi:10.1007/s13272-024-00748-4", "doi": "10.1007/s13272-024-00748-4", "title": "Impact of airtaxi operations in the control zone on air traffic controllers", "year": 2025, "authors": [ "Schier-Morgenthal S." ], "first_author": "Schier-Morgenthal S.", "venue": "Ceas Aeronautical Journal", "volume": "16", "pages": "849-856", "type": "Article", "language": null, "abstract": null, "keywords": [], "cited_by_openalex": 0, "cited_by_scopus": "4", "eid": "2-s2.0-85192222491", "pii": null, "open_access_url": null, "sources": [ { "db": "scopus", "stream": "UAV", "query_id": "UAV-3" } ], "streams": [ "UAV" ], "relevance_signals": [ "NO_TECHNOLOGY_MATCH" ], "auto_exclude_reason": "EC-4-topic", "screening_status": "auto_excluded", "screened_by": "auto-v1.0.0" }, { "id": "doi:10.1016/j.eneco.2025.108604", "doi": "10.1016/j.eneco.2025.108604", "title": "Impediment ranking and solutions for enhancing electric freight vehicle uptake in urban logistics", "year": 2025, "authors": [ "Aalok Kumar", "Pooja Goel", "Sunil Tiwari" ], "first_author": "Aalok Kumar", "venue": "Energy Economics", "volume": "147", "pages": null, "type": "article", "language": "en", "abstract": null, "keywords": [ "Ranking (information retrieval)", "City logistics", "Business", "Transport engineering", "Environmental economics", "Operations research", "Computer science", "Economics", "Engineering", "Artificial intelligence" ], "cited_by_openalex": 5, "cited_by_scopus": "3", "eid": "2-s2.0-105006776500", "pii": "S0140988325004311", "open_access_url": "https://doi.org/10.1016/j.eneco.2025.108604", "sources": [ { "db": "openalex", "stream": "TRUCK", "query_id": "TRUCK-1" }, { "db": "scopus", "stream": "TRUCK", "query_id": "TRUCK-1" } ], "streams": [ "TRUCK" ], "relevance_signals": [ "TRUCK" ], "auto_exclude_reason": null, "screening_status": "pending_human_screening", "screened_by": "auto-v1.0.0" }, { "id": "doi:10.3390/app15158337", "doi": "10.3390/app15158337", "title": "Intelligent Functional Clustering and Spatial Interactions of Urban Freight System: A Data-Driven Framework for Decoding Heavy-Duty Truck Behavioral Heterogeneity", "year": 2025, "authors": [ "Ruixu Pan", "Quan Yuan", "Chen Liu", "Jiaming Cao", "Xingyu Liang" ], "first_author": "Ruixu Pan", "venue": "Applied Sciences", "volume": "15", "pages": null, "type": "article", "language": "en", "abstract": "The rapid development of the logistics industry has underscored the urgent need for efficient and sustainable urban freight systems. As a core component of freight systems, heavy-duty trucks (HDT) have been researched regarding surface-level descriptive statistics of their heterogeneities, such as trip volume, frequency, etc., but there is a lack of in-depth analyses of the spatial interaction between freight travel and freight functional clustering, which restricts a systematic understanding of freight systems. Against this backdrop, this study develops a data-driven framework to analyze HDT behavioral heterogeneity and its spatial interactions with a freight functional zone in Shanghai. Leveraging the high-frequency trajectory data of nearly 160,000 HDTs across seven types, we construct a set of regional indicators and employ hierarchical clustering, dividing the city into six freight functional zones. Combined with the HDTs’ application scenarios, functional characteristics, and trip distributions, we further analyze the spatial interaction between the HDTs and clustered zones. The results show that HDT travel patterns are not merely responses to freight demand but complex reflections of urban industrial structures, infrastructure networks, and policy environments. By embedding vehicle behaviors within their spatial and functional contexts, this study reveals a layered freight system in which each HDT type plays a distinct role in supporting economic activities. This research provides a new perspective for deeply understanding the formation mechanisms of HDT trip distributions and offers critical evidence for promoting targeted freight management strategies.", "keywords": [ "Heavy duty", "Truck", "Cluster analysis", "Computer science", "Transport engineering", "Data mining", "Automotive engineering", "Engineering", "Artificial intelligence" ], "cited_by_openalex": 2, "cited_by_scopus": "3", "eid": "2-s2.0-105013144067", "pii": null, "open_access_url": "https://doi.org/10.3390/app15158337", "sources": [ { "db": "openalex", "stream": "TRUCK", "query_id": "TRUCK-1" }, { "db": "scopus", "stream": "TRUCK", "query_id": "TRUCK-1" } ], "streams": [ "TRUCK" ], "relevance_signals": [ "TRUCK" ], "auto_exclude_reason": null, "screening_status": "pending_human_screening", "screened_by": "auto-v1.0.0" }, { "id": "doi:10.1061/jtepbs.teeng-8741", "doi": "10.1061/jtepbs.teeng-8741", "title": "Optimization Study on the Hybrid Scheduling of Truck–Drone Delivery System", "year": 2025, "authors": [ "Zaifang Zhang", "Yang Li", "Jun He", "Jiayi Chen", "Haibo Hong" ], "first_author": "Zaifang Zhang", "venue": "Journal of Transportation Engineering Part A Systems", "volume": "151", "pages": null, "type": "article", "language": "en", "abstract": "The exigency to curtail last-mile delivery expenses is an intricate issue within the logistics industry. Owing to their flexibility, portability, and low cost, drones have great potential in the application of logistics and distribution. Drones also have short cruising ranges and small load capacity. To overcome their shortcomings, a hybrid delivery model of truck-carried drones is proposed to achieve logistics distribution. This paper comprehensively addresses pertinent constraints, including drone load capacity, flight distance, and time window, and formulates a mathematical model aimed at minimizing transportation costs. The model determines the optimal allocation between trucks and drones, the optimal path sequence for trucks to travel, and the optimal launch of drones on the truck path and recovery points. Simultaneously, we developed an improved equilibrium optimizer simulated annealing (IEOSA) algorithm to address the issue, employing both Solomon standard calculation instances and real distribution scenarios from Shanghai, China, for simulation analysis. Experimental findings demonstrate that IEOSA exhibits superior efficiency and solution quality in tackling hybrid distribution problems. Furthermore, the truck–drone hybrid distribution model proves to be more efficient in completing distribution tasks compared to relying solely on truck distribution.", "keywords": [ "Drone", "Truck", "Scheduling (production processes)", "Computer science", "Aeronautics", "Engineering", "Automotive engineering", "Operations management", "Biology" ], "cited_by_openalex": 2, "cited_by_scopus": "3", "eid": "2-s2.0-105010292741", "pii": null, "open_access_url": "https://doi.org/10.1061/jtepbs.teeng-8741", "sources": [ { "db": "openalex", "stream": "TRUCK", "query_id": "TRUCK-1" }, { "db": "openalex", "stream": "UAV", "query_id": "UAV-1" }, { "db": "scopus", "stream": "TRUCK", "query_id": "TRUCK-1" }, { "db": "scopus", "stream": "UAV", "query_id": "UAV-1" } ], "streams": [ "TRUCK", "UAV" ], "relevance_signals": [ "UAV", "TRUCK" ], "auto_exclude_reason": null, "screening_status": "pending_human_screening", "screened_by": "auto-v1.0.0" }, { "id": "doi:10.3390/math13152533", "doi": "10.3390/math13152533", "title": "Inbound Truck Scheduling for Workload Balancing in Cross-Docking Terminals", "year": 2025, "authors": [ "Younghoo Noh", "S.W. Lee", "Jeongyoon Hong", "Jeongeum Kim", "Sung Won Cho" ], "first_author": "Younghoo Noh", "venue": "Mathematics", "volume": "13", "pages": null, "type": "article", "language": "en", "abstract": "The rapid growth of e-commerce and advances in information and communication technologies have placed increasing pressure on last-mile delivery companies to enhance operational productivity. As investments in logistics infrastructure require long-term planning, maximizing the efficiency of existing terminal operations has become a critical priority. This study proposes a mathematical model for inbound truck scheduling that simultaneously minimizes truck waiting times and balances workload across temporary inventory storage located at outbound chutes in cross-docking terminals. The model incorporates a dynamic rescheduling strategy that updates the assignment of inbound trucks in real time, based on the latest terminal conditions. Numerical experiments, based on real operational data, demonstrate that the proposed approach significantly outperforms conventional strategies such as First-In First-Out (FIFO) and Random assignment in terms of both load balancing and truck turnaround efficiency. In particular, the proposed model improves workload balance by approximately 10% and 12% compared to the FIFO and Random strategies, respectively, and it reduces average truck waiting time by 17% and 18%, thereby contributing to more efficient workflow and alleviating bottlenecks. The findings highlight the practical potential of the proposed strategy for improving the responsiveness and efficiency of parcel distribution centers operating under fixed infrastructure constraints. Future research may extend the proposed approach by incorporating realistic operational factors, such as cargo heterogeneity, uncertain arrivals, and terminal shutdowns due to limited chute storage.", "keywords": [ "Workload", "Truck", "Docking (animal)", "Computer science", "Scheduling (production processes)", "Engineering", "Operating system", "Automotive engineering", "Operations management" ], "cited_by_openalex": 2, "cited_by_scopus": "3", "eid": "2-s2.0-105013364746", "pii": null, "open_access_url": "https://www.mdpi.com/2227-7390/13/15/2533/pdf?version=1754490225", "sources": [ { "db": "openalex", "stream": "TRUCK", "query_id": "TRUCK-1" }, { "db": "openalex", "stream": "TRUCK", "query_id": "TRUCK-3" }, { "db": "scopus", "stream": "TRUCK", "query_id": "TRUCK-1" }, { "db": "scopus", "stream": "TRUCK", "query_id": "TRUCK-3" } ], "streams": [ "TRUCK" ], "relevance_signals": [ "TRUCK" ], "auto_exclude_reason": null, "screening_status": "pending_human_screening", "screened_by": "auto-v1.0.0" }, { "id": "doi:10.1016/j.cie.2025.111405", "doi": "10.1016/j.cie.2025.111405", "title": "Transforming urban freight transportation: Service network design for synergy with passenger transportation in transit systems", "year": 2025, "authors": [ "Jie Lin", "Fangni Zhang" ], "first_author": "Jie Lin", "venue": "Computers & Industrial Engineering", "volume": "208", "pages": null, "type": "article", "language": "en", "abstract": null, "keywords": [ "Transport engineering", "Transit (satellite)", "Service (business)", "Passenger transport", "Urban transit", "Business", "Public transport", "Engineering", "Marketing" ], "cited_by_openalex": 4, "cited_by_scopus": "3", "eid": "2-s2.0-105012039538", "pii": "S0360835225005510", "open_access_url": "https://doi.org/10.1016/j.cie.2025.111405", "sources": [ { "db": "openalex", "stream": "TRUCK", "query_id": "TRUCK-1" }, { "db": "openalex", "stream": "TRUCK", "query_id": "TRUCK-2" }, { "db": "scopus", "stream": "TRUCK", "query_id": "TRUCK-1" }, { "db": "scopus", "stream": "TRUCK", "query_id": "TRUCK-2" } ], "streams": [ "TRUCK" ], "relevance_signals": [ "NO_TECHNOLOGY_MATCH" ], "auto_exclude_reason": "EC-4-topic", "screening_status": "auto_excluded", "screened_by": "auto-v1.0.0" }, { "id": "doi:10.1007/978-3-031-80881-4_1", "doi": "10.1007/978-3-031-80881-4_1", "title": "Electric Cargo Bikes in Urban Logistics: Scenarios and Their Contribution to Sustainable Mobility", "year": 2025, "authors": [ "Natalya Shramenko", "Christoph Hupfer", "Vladyslav Shramenko", "Piotr Trojanowski" ], "first_author": "Natalya Shramenko", "venue": "EAI/Springer Innovations in Communication and Computing", "volume": null, "pages": null, "type": "conference-paper", "language": "en", "abstract": null, "keywords": [ "Transport engineering", "Business", "Sustainable transport", "Environmental planning", "Environmental science", "Engineering", "Sustainability", "Ecology" ], "cited_by_openalex": 3, "cited_by_scopus": 0, "eid": null, "pii": null, "open_access_url": "https://doi.org/10.1007/978-3-031-80881-4_1", "sources": [ { "db": "openalex", "stream": "TRUCK", "query_id": "TRUCK-1" }, { "db": "openalex", "stream": "TRUCK", "query_id": "TRUCK-2" }, { "db": "openalex", "stream": "TRUCK", "query_id": "TRUCK-3" } ], "streams": [ "TRUCK" ], "relevance_signals": [ "NO_TECHNOLOGY_MATCH" ], "auto_exclude_reason": "EC-4-topic", "screening_status": "auto_excluded", "screened_by": "auto-v1.0.0" }, { "id": "doi:10.1016/j.trd.2025.105163", "doi": "10.1016/j.trd.2025.105163", "title": "Electric heavy-duty truck deployment and urban CO2 emissions: Evidence from Chinese policy-induced transitions", "year": 2025, "authors": [ "Zhonglin Sheng", "Xiaozhen Fu", "Xu Hao" ], "first_author": "Zhonglin Sheng", "venue": "Transportation Research Part D Transport and Environment", "volume": "151", "pages": null, "type": "article", "language": "en", "abstract": null, "keywords": [ "Subsidy", "Software deployment", "Truck", "Corporate governance", "Scale (ratio)", "Electrification", "Track (disk drive)" ], "cited_by_openalex": 3, "cited_by_scopus": "3", "eid": "2-s2.0-105024543655", "pii": "S1361920925005735", "open_access_url": "https://doi.org/10.1016/j.trd.2025.105163", "sources": [ { "db": "openalex", "stream": "TRUCK", "query_id": "TRUCK-1" }, { "db": "scopus", "stream": "TRUCK", "query_id": "TRUCK-1" } ], "streams": [ "TRUCK" ], "relevance_signals": [ "TRUCK_NO_CTX" ], "auto_exclude_reason": "EC-4-topic", "screening_status": "auto_excluded", "screened_by": "auto-v1.0.0" }, { "id": "doi:10.1016/j.cor.2025.107343", "doi": "10.1016/j.cor.2025.107343", "title": "Two-echelon optimization framework for semi-autonomous truck platooning in container drayage", "year": 2025, "authors": [ "Zhaojie Xue", "Wenxiang Peng", "Jialu Zhang", "Rui Chen" ], "first_author": "Zhaojie Xue", "venue": "Computers & Operations Research", "volume": "188", "pages": null, "type": "article", "language": "en", "abstract": null, "keywords": [ "Container (type theory)", "Truck", "Platoon", "Tabu search", "Component (thermodynamics)", "Resource (disambiguation)", "Public transport", "Integer programming" ], "cited_by_openalex": 2, "cited_by_scopus": "3", "eid": "2-s2.0-105024208274", "pii": "S0305054825003727", "open_access_url": "https://doi.org/10.1016/j.cor.2025.107343", "sources": [ { "db": "openalex", "stream": "TRUCK", "query_id": "TRUCK-1" }, { "db": "openalex", "stream": "TRUCK", "query_id": "TRUCK-3" }, { "db": "scopus", "stream": "TRUCK", "query_id": "TRUCK-1" }, { "db": "scopus", "stream": "TRUCK", "query_id": "TRUCK-3" } ], "streams": [ "TRUCK" ], "relevance_signals": [ "TRUCK_NO_CTX" ], "auto_exclude_reason": "EC-4-topic", "screening_status": "auto_excluded", "screened_by": "auto-v1.0.0" }, { "id": "doi:10.1016/j.tranpol.2025.01.039", "doi": "10.1016/j.tranpol.2025.01.039", "title": "Discovering the origins of freight demand: An empirical investigation of spatial heterogeneity in the generation of heavy-duty truck trips", "year": 2025, "authors": [ "Zhiwei Yang", "Han Liu", "Xiaohong Chen", "Jun Zhou", "Quan Yuan" ], "first_author": "Zhiwei Yang", "venue": "Transport Policy", "volume": "164", "pages": "60-79", "type": "article", "language": "en", "abstract": null, "keywords": [ "TRIPS architecture", "Truck", "Heavy duty", "Transport engineering", "Trip generation", "Business", "Duty", "Engineering", "Automotive engineering" ], "cited_by_openalex": 3, "cited_by_scopus": "3", "eid": "2-s2.0-85216545397", "pii": "S0967070X25000459", "open_access_url": "https://doi.org/10.1016/j.tranpol.2025.01.039", "sources": [ { "db": "openalex", "stream": "TRUCK", "query_id": "TRUCK-1" }, { "db": "scopus", "stream": "TRUCK", "query_id": "TRUCK-1" } ], "streams": [ "TRUCK" ], "relevance_signals": [ "TRUCK_NO_CTX" ], "auto_exclude_reason": "EC-4-topic", "screening_status": "auto_excluded", "screened_by": "auto-v1.0.0" }, { "id": "doi:10.1016/j.ifacol.2025.09.437", "doi": "10.1016/j.ifacol.2025.09.437", "title": "Autonomous Delivery Vehicles in Two-Echelon Routing for Sustainable Last-Mile Logistics", "year": 2025, "authors": [ "Nima Moradi", "Vahid Kayvanfar", "Roberto Baldacci" ], "first_author": "Nima Moradi", "venue": "IFAC-PapersOnLine", "volume": "59", "pages": "2598-2603", "type": "article", "language": "en", "abstract": "The rapid growth of e-commerce has intensified the demand for Efficient and sustainable urban logistics systems. This study introduces the two-echelon vehicle routing problem with autonomous delivery vehicles (2E-VRP-ADV) to optimize last-mile delivery by integrating conventional trucks in the first echelon and autonomous delivery vehicles in the second. A mixed-integer linear programming model is developed to minimize routing costs while considering ADV-Specific parameters such as battery and load capacity constraints. Computational experiments on newly generated instances were performed, and sensitivity analyses revealed the impact of ADV battery and load capacities on delivery efficiency, providing actionable insights for improving environmental sustainability.", "keywords": [ "Truck", "Vehicle routing problem", "Routing (electronic design automation)", "Battery (electricity)", "Linear programming", "City logistics" ], "cited_by_openalex": 6, "cited_by_scopus": "3", "eid": "2-s2.0-105018797624", "pii": "S2405896325012005", "open_access_url": "https://doi.org/10.1016/j.ifacol.2025.09.437", "sources": [ { "db": "openalex", "stream": "TRUCK", "query_id": "TRUCK-1" }, { "db": "scopus", "stream": "TRUCK", "query_id": "TRUCK-1" } ], "streams": [ "TRUCK" ], "relevance_signals": [ "TRUCK" ], "auto_exclude_reason": null, "screening_status": "pending_human_screening", "screened_by": "auto-v1.0.0" }, { "id": "doi:10.1007/978-3-031-78238-1_36", "doi": "10.1007/978-3-031-78238-1_36", "title": "Last Mile Drone Delivery: Complexity and Research Challenges", "year": 2025, "authors": [ "Fatos Xhafa", "Cristian Domínguez", "Angel Alejandro Juan" ], "first_author": "Fatos Xhafa", "venue": "Lecture notes in computer science", "volume": "14778 LNCS", "pages": "404-417", "type": "conference-paper", "language": "en", "abstract": null, "keywords": [ "Drone", "Computer science", "Mile", "Last mile (transportation)", "Geography" ], "cited_by_openalex": 2, "cited_by_scopus": "3", "eid": "2-s2.0-85219198611", "pii": null, "open_access_url": "https://doi.org/10.1007/978-3-031-78238-1_36", "sources": [ { "db": "openalex", "stream": "TRUCK", "query_id": "TRUCK-1" }, { "db": "openalex", "stream": "TRUCK", "query_id": "TRUCK-2" }, { "db": "openalex", "stream": "UAV", "query_id": "UAV-1" }, { "db": "scopus", "stream": "TRUCK", "query_id": "TRUCK-1" }, { "db": "scopus", "stream": "TRUCK", "query_id": "TRUCK-2" }, { "db": "scopus", "stream": "UAV", "query_id": "UAV-1" }, { "db": "scopus", "stream": "UAV", "query_id": "UAV-2" } ], "streams": [ "TRUCK", "UAV" ], "relevance_signals": [ "UAV" ], "auto_exclude_reason": null, "screening_status": "pending_human_screening", "screened_by": "auto-v1.0.0" }, { "id": "doi:10.1016/j.ifacol.2025.07.033", "doi": "10.1016/j.ifacol.2025.07.033", "title": "Vertical Drone Delivery with Obstacle Avoidance", "year": 2025, "authors": [ "Nasser Al-Musallami", "Ryan O’Neil", "Abdelhakim Khatab", "Uday Venkatadri", "Claver Diallo" ], "first_author": "Nasser Al-Musallami", "venue": "IFAC-PapersOnLine", "volume": "59", "pages": "192-197", "type": "article", "language": "en", "abstract": "This paper introduces a hybrid drone-truck delivery model to optimize UAV-based logistics in last-mile delivery settings. The study combines energy consumption dynamics with advanced route optimization, considering factors such as payload weight, elevation changes, and obstacle avoidance. Utilizing the Theta ⁎ algorithm, the model achieves efficient path-finding while optimizing energy use through a scheme that applies energy over-consumption or under-consumption for ascent and descent, respectively. Additionally, the study incorporates profit modeling for successful deliveries to assess energy-revenue trade-offs. Results confirm the model’s ability to improve the operational efficiency of last-mile delivery systems, thus advancing sustainable urban logistics and addressing limitations in current drone delivery systems.", "keywords": [ "Drone", "Obstacle avoidance", "Obstacle", "Computer science", "Aeronautics", "Psychology", "Artificial intelligence", "Engineering", "History", "Biology", "Mobile robot", "Robot" ], "cited_by_openalex": 2, "cited_by_scopus": "3", "eid": "2-s2.0-105011592700", "pii": "S2405896325003726", "open_access_url": "https://doi.org/10.1016/j.ifacol.2025.07.033", "sources": [ { "db": "openalex", "stream": "TRUCK", "query_id": "TRUCK-1" }, { "db": "openalex", "stream": "UAV", "query_id": "UAV-1" }, { "db": "scopus", "stream": "TRUCK", "query_id": "TRUCK-1" }, { "db": "scopus", "stream": "UAV", "query_id": "UAV-1" } ], "streams": [ "TRUCK", "UAV" ], "relevance_signals": [ "UAV", "TRUCK" ], "auto_exclude_reason": null, "screening_status": "pending_human_screening", "screened_by": "auto-v1.0.0" }, { "id": "doi:10.1016/j.trip.2025.101442", "doi": "10.1016/j.trip.2025.101442", "title": "Optimising mode choice in a bi-modal freight network considering sustainability and urban logistic stakeholder perspectives", "year": 2025, "authors": [ "Maurice Krauth", "Matthias Ribesmeier", "Nikola Bešinović" ], "first_author": "Maurice Krauth", "venue": "Transportation Research Interdisciplinary Perspectives", "volume": "31", "pages": null, "type": "article", "language": "en", "abstract": "In the last decade, Germany’s courier, express, and parcel industry has seen its consignment volume double to 4 billion annually, primarily moved by fossil-fuel-powered road vehicles. This growth increases urban congestion and emissions, highlighting the need for sustainable alternatives like rail transport to meet climate and emission goals. This study examines optimal, sustainable mode choice in bi-modal freight networks. Specifically, we introduce inner-city hubs that enable transshipment between road and rail modes to allow more freight shifting to rail. Using a network flow model, we minimise transport costs by assigning each consignment to either trains or lorries, while assessing the influence of transport policies like high-speed freight trains, road tolls, and subsidies on the modal split. Additionally, we incorporate the objectives of city logistics stakeholders. A sensitivity analysis examines the German parcel network’s response to variations in costs, demand, velocity, emissions, and rail capacity. Our results suggest that rail transport can be a viable alternative to road in numerous scenarios. For example, a slight increase in lorry operation costs initiates a shift to rail, while city taxes exceeding 200 cost units for lorries leads to a shift towards rail transport. Train network capacity is a critical factor in determining modal choice, with policy and stakeholder decisions also influencing mode shifts. The proposed network flow model provides a robust framework for evaluating the impact of predefined freight policies on mode choice in parcel delivery networks, showing conditions under which rail freight can be integrated into a sustainable inner-city logistics supply.", "keywords": [ "Modal", "Sustainability", "Mode (computer interface)", "Logistic regression", "Stakeholder", "Mode choice", "City logistics", "Business", "Computer science", "Transport engineering", "Engineering", "Economics" ], "cited_by_openalex": 1, "cited_by_scopus": "3", "eid": "2-s2.0-105005201685", "pii": "S2590198225001216", "open_access_url": "https://doi.org/10.1016/j.trip.2025.101442", "sources": [ { "db": "openalex", "stream": "TRUCK", "query_id": "TRUCK-1" }, { "db": "scopus", "stream": "TRUCK", "query_id": "TRUCK-1" } ], "streams": [ "TRUCK" ], "relevance_signals": [ "TRUCK" ], "auto_exclude_reason": null, "screening_status": "pending_human_screening", "screened_by": "auto-v1.0.0" }, { "id": "doi:10.3390/math13172798", "doi": "10.3390/math13172798", "title": "Neural Network-Based Air–Ground Collaborative Logistics Delivery Path Planning with Dynamic Weather Adaptation", "year": 2025, "authors": [ "Linglin Feng", "Hongmei Cao" ], "first_author": "Linglin Feng", "venue": "Mathematics", "volume": "13", "pages": null, "type": "article", "language": "en", "abstract": "The strategic development of the low-altitude economy requires efficient urban logistics solutions. The existing Unmanned Aerial Vehicle (UAV) truck delivery system faces severe challenges in dealing with dynamic weather constraints and multi-agent coordination. This article proposes a neural network-based optimisation framework that integrates constrained K-means clustering and a three-stage neural architecture. In this work, a mathematical model for heterogeneous vehicle constraints considering time windows and UAV energy consumption is developed, and it is validated through reference to the Solomon benchmark’s arithmetic examples. Experimental results show that the Truck–Drone Cooperative Traveling Salesman Problem (TDCTSP) model reduces the cost by 21.3% and the delivery time variance by 18.7% compared to the truck-only solution (Truck Traveling Salesman Problem (TTSP)). Improved neural network (INN) algorithms are also superior to the traditional genetic algorithm (GA) and Adaptive Large Neighborhood Search (ALNS) methods in terms of the quality of computed solutions. This research provides an adaptive solution for intelligent low-altitude logistics, which provides a theoretical basis and practical tools for the development of urban air traffic under environmental uncertainty.", "keywords": [ "Adaptation (eye)", "Artificial neural network", "Motion planning", "Computer science", "Path (computing)", "Environmental science", "Meteorology", "Operations research", "Engineering", "Computer network", "Artificial intelligence", "Geography" ], "cited_by_openalex": 1, "cited_by_scopus": "3", "eid": "2-s2.0-105015379875", "pii": null, "open_access_url": "https://www.mdpi.com/2227-7390/13/17/2798/pdf?version=1756624249", "sources": [ { "db": "openalex", "stream": "TRUCK", "query_id": "TRUCK-1" }, { "db": "openalex", "stream": "UAV", "query_id": "UAV-1" }, { "db": "scopus", "stream": "TRUCK", "query_id": "TRUCK-1" }, { "db": "scopus", "stream": "UAV", "query_id": "UAV-1" } ], "streams": [ "TRUCK", "UAV" ], "relevance_signals": [ "UAV", "TRUCK" ], "auto_exclude_reason": null, "screening_status": "pending_human_screening", "screened_by": "auto-v1.0.0" }, { "id": "doi:10.1016/j.cie.2025.111755", "doi": "10.1016/j.cie.2025.111755", "title": "Multi-depot collaborative vehicle route problem with shared customer, delivery options and flexible transshipment", "year": 2025, "authors": [ "Chao Li", "Yu Fan", "Qun Chen" ], "first_author": "Chao Li", "venue": "Computers & Industrial Engineering", "volume": "212", "pages": null, "type": "article", "language": "en", "abstract": null, "keywords": [ "Transshipment (information security)", "Vehicle routing problem", "Benchmark (surveying)", "Consolidation (business)", "Delivery Performance", "Routing (electronic design automation)", "Local search (optimization)" ], "cited_by_openalex": 3, "cited_by_scopus": "3", "eid": "2-s2.0-105024414918", "pii": "S0360835225009015", "open_access_url": "https://doi.org/10.1016/j.cie.2025.111755", "sources": [ { "db": "openalex", "stream": "TRUCK", "query_id": "TRUCK-2" }, { "db": "scopus", "stream": "TRUCK", "query_id": "TRUCK-2" } ], "streams": [ "TRUCK" ], "relevance_signals": [ "NO_TECHNOLOGY_MATCH" ], "auto_exclude_reason": "EC-4-topic", "screening_status": "auto_excluded", "screened_by": "auto-v1.0.0" }, { "id": "doi:10.1109/access.2025.3583106", "doi": "10.1109/access.2025.3583106", "title": "Heuristic Algorithms for the Heterogeneous Vehicle Routing Problem With Time Windows, Customers Priority, Pickup and Delivery", "year": 2025, "authors": [ "Moayad Tanash", "Rami As’ad" ], "first_author": "Moayad Tanash", "venue": "IEEE Access", "volume": "13", "pages": "110605-110622", "type": "article", "language": "en", "abstract": "Driven by an unprecedented surge in freight transportation and city logistics, this paper tackles a practical variant of the famous Vehicle Routing Problem that jointly accounts for the existence of a heterogeneous fleet of vehicles, customers’ priorities, soft time windows, pickup and delivery operations. A mathematical model is developed which seeks to establish the optimal routing and delivery schedule minimizing the total cost comprised of transportation costs, earliness-tardiness penalties, priority violations, and vehicle idleness cost. To cater for scalability issues, two computationally-efficient heuristic approaches that guarantee the attainment of high-quality solutions within reasonable CPU time are proposed. Both heuristics possess a two-phase structure, where the first phase yields highly prudent initial solutions employing a Greedy Randomized Adaptive Search Procedure (GRASP) in the first heuristic, and Priority-Based Ant Colony Optimization (PBACO) in the second heuristic. As for the second phase, both heuristics embrace a common Variable Neighborhood Search (VNS) algorithm that explores seven different neighborhoods to improve upon the initial solutions. Numerical experiments on test instances with up to 80 customers demonstrate the superiority of both heuristics in terms of CPU time and solution quality. While GRASP exhibits a slight computational advantage for instances involving 40 or more customers, the two heuristics yield solutions that are on average 0.25% and 0.60% away from the best-found solution, respectively, across all test instances. Sensitivity analysis also reveals that vehicles’ capacities, alongside other parameters, greatly impact the routing plan and the utilization of the vehicles.", "keywords": [ "Pickup", "Vehicle routing problem", "Computer science", "Routing (electronic design automation)", "Heuristic", "Algorithm", "Computer network", "Distributed computing", "Artificial intelligence" ], "cited_by_openalex": 1, "cited_by_scopus": "3", "eid": "2-s2.0-105009257946", "pii": null, "open_access_url": "https://doi.org/10.1109/access.2025.3583106", "sources": [ { "db": "openalex", "stream": "TRUCK", "query_id": "TRUCK-2" }, { "db": "scopus", "stream": "TRUCK", "query_id": "TRUCK-2" } ], "streams": [ "TRUCK" ], "relevance_signals": [ "NO_TECHNOLOGY_MATCH" ], "auto_exclude_reason": "EC-4-topic", "screening_status": "auto_excluded", "screened_by": "auto-v1.0.0" }, { "id": "doi:10.3390/systems13070613", "doi": "10.3390/systems13070613", "title": "Automated Parcel Locker Configuration Using Discrete Event Simulation", "year": 2025, "authors": [ "Eugen Constantin ROȘCA", "Floriana Cristina Oprea", "Anamaria Ilie", "Ştefan Burciu", "Florin Valentin RUSCA" ], "first_author": "Eugen Constantin ROȘCA", "venue": "Systems", "volume": null, "pages": null, "type": "article", "language": "en", "abstract": "Automated parcel lockers (APLs) are transforming urban last-mile delivery by reducing failed distributions, decoupling delivery from recipient availability, optimizing carrier routes, reducing carbon foot-print and mitigating traffic congestion. The paper investigates the optimal design of APLs systems under stochastic demand and operational constraints, formulating the problem as a resource allocation optimization with service-level guarantees. We proposed a data-driven discrete-event simulation (DES) model implemented in ARENA to (i) determine optimal locker configurations that ensure customer satisfaction under stochastic parcel arrivals and dwell times, (ii) examine utilization patterns and spatial allocation to enhance system operational efficiency, and (iii) characterize inventory dynamics of undelivered parcels and evaluate system resilience. The results show that the configuration of locker types significantly influences the system’s ability to maintain high customers service levels. While flexibility in locker allocation helps manage excess demand in some configurations, it may also create resource competition among parcel types. The heterogeneity of locker utilization gradients underscores that optimal APLs configurations must balance locker units with their size-dependent functional interdependencies. The Dickey–Fuller GLS test further validates that postponed parcels exhibit stationary inventory dynamics, ensuring scalability for logistics operators. As a theoretical contribution, the paper demonstrates how DES combined with time-series econometrics can address APLs capacity planning in city logistics. For practitioners, the study provides a decision-support framework for locker sizing, emphasizing cost–service trade-offs.", "keywords": [ "Event (particle physics)", "Discrete event simulation", "Computer science", "Computer graphics (images)", "Simulation", "Physics" ], "cited_by_openalex": 3, "cited_by_scopus": 0, "eid": null, "pii": null, "open_access_url": "https://www.mdpi.com/2079-8954/13/7/613/pdf?version=1753015702", "sources": [ { "db": "openalex", "stream": "TRUCK", "query_id": "TRUCK-2" } ], "streams": [ "TRUCK" ], "relevance_signals": [ "NO_TECHNOLOGY_MATCH" ], "auto_exclude_reason": "EC-4-topic", "screening_status": "auto_excluded", "screened_by": "auto-v1.0.0" }, { "id": "doi:10.1109/tits.2025.3559941", "doi": "10.1109/tits.2025.3559941", "title": "Rapid Solution for Flexible Pickup and Delivery Services Problem Based on Improved Actor-Critic Deep Reinforcement Learning", "year": 2025, "authors": [ "Ran Tian", "Zhihui Sun", "Longlong Chang", "Jiarui Wu", "Xin Biao Lu" ], "first_author": "Ran Tian", "venue": "IEEE Transactions on Intelligent Transportation Systems", "volume": null, "pages": null, "type": "article", "language": "en", "abstract": "The problem of the Flexible Pickup and Delivery Services Problem (FPDSP) arises from the actual needs of multi-warehouse management strategies and is one of the key challenges in the current urban distribution logistics industry. The problem aims to quickly calculate the route planning in complex scenarios to ensure that the total traveling time of the vehicle is minimized while meeting the time window requirements. To address this problem, we propose a deep reinforcement learning method based on the Actor-Critic algorithm to quickly calculate the approximate optimal solution of FPDSP. Specifically, we propose a Transformer Model with Parallel Encoders (TMPE). The model efficiently extracts order features through parallel encoders and then uses serial decoders to optimize the fusion of feature information to optimize the order selection process. In addition, we designed a reward function to reduce the number of repeated pickups made by the vehicle at the same consignor’s location between different orders, thereby effectively reducing the vehicle’s total travel time. Experimental results show that our method can quickly find feasible solutions to the problem compared with heuristic methods on seven different datasets. At the same time, compared with all baseline methods, the number of optimal solutions of our method reaches 14, which significantly improves the problem-solving ability. This result provides a new solution for optimizing pickup and delivery logistics in multiple warehouses in cities in the future.", "keywords": [ "Reinforcement learning", "Pickup", "Computer science", "Reinforcement", "Human–computer interaction", "Artificial intelligence", "Simulation", "Engineering", "Distributed computing", "Structural engineering" ], "cited_by_openalex": 3, "cited_by_scopus": 0, "eid": null, "pii": null, "open_access_url": "https://doi.org/10.1109/tits.2025.3559941", "sources": [ { "db": "openalex", "stream": "TRUCK", "query_id": "TRUCK-2" } ], "streams": [ "TRUCK" ], "relevance_signals": [ "NO_TECHNOLOGY_MATCH" ], "auto_exclude_reason": "EC-4-topic", "screening_status": "auto_excluded", "screened_by": "auto-v1.0.0" }, { "id": "doi:10.3934/jimo.2025101", "doi": "10.3934/jimo.2025101", "title": "Cross-docking scheduling for fresh produce with heterogeneous quality decay under interrupt modes", "year": 2025, "authors": [ "Fei Pan", "Chunyang Fan" ], "first_author": "Fei Pan", "venue": "Journal of Industrial and Management Optimization", "volume": "21", "pages": "5481-5505", "type": "article", "language": "en", "abstract": "Traditional cross-docking scheduling models for fresh produce have commonly employed non-interrupt loading/unloading modes with the objective of minimizing makespan. However, this approach may cause an undesired loading/unloading process and fail to consider issues such as the heterogeneous quality decay rate characteristics among products. To address these two critical issues, we make the following contributions: 1) introducing a novel optimization metric, Total Quality Decay (TQD), which quantifies the heterogeneous perishability attributes of fresh produce in addition to temporal dimension; 2) establishing the cross-docking model with more flexible interrupt scheduling mode during the inbound/outbound truck loading/unloading processes; 3) Due to the problem's nature as a strongly NP-hard problem, an adaptive genetic algorithm based on batch unloading/loading quantity is constructed and solved. Numerical experimental results demonstrate that the inbound (outbound) truck interrupt mode can achieve an average reduction of 15.8% (22.1%) in TQD compared to the traditional non-interrupt mode. Moreover, this advantage becomes more pronounced with decreasing truck changeover time, transit time, batch loading/unloading quantity, and the proportion of high-quality decay rate of fresh produce. This study not only theoretically provides the mathematical expressions for calculating TQD, and establishing models and algorithms under interrupt mode, but also practically reduces fresh produce losses, improves consumer satisfaction, and enhances enterprise competitiveness.", "keywords": [ "Interrupt", "Computer science", "Scheduling (production processes)", "Docking (animal)", "Mathematical optimization", "Embedded system", "Medicine", "Mathematics", "Nursing" ], "cited_by_openalex": 3, "cited_by_scopus": "3", "eid": "2-s2.0-105016095687", "pii": null, "open_access_url": "https://www.aimsciences.org/data/article/export-pdf?id=6846b19bb924fa00d9d4bb5a", "sources": [ { "db": "openalex", "stream": "TRUCK", "query_id": "TRUCK-3" }, { "db": "scopus", "stream": "TRUCK", "query_id": "TRUCK-3" } ], "streams": [ "TRUCK" ], "relevance_signals": [ "TRUCK_NO_CTX" ], "auto_exclude_reason": "EC-4-topic", "screening_status": "auto_excluded", "screened_by": "auto-v1.0.0" }, { "id": "doi:10.3390/su172310775", "doi": "10.3390/su172310775", "title": "Hybrid Drone and Truck Delivery Optimization in Remote Areas Using Geospatial Analytics", "year": 2025, "authors": [ "Md Abdul Quddus", "Md Fashiar Rahman", "Mahathir Mohammad Bappy" ], "first_author": "Md Abdul Quddus", "venue": "Sustainability", "volume": "17", "pages": null, "type": "article", "language": "en", "abstract": "This study introduces a novel strategy for optimizing hybrid drone-and-truck delivery systems in remote areas by leveraging geospatial analytics. Geospatial methods are employed to identify optimal depot and drone nest locations, which serve as critical nodes for efficient delivery operations. After determining these locations, a customized Vehicle Routing Problem (VRP) model is applied to solve the routing problem. We use Network Analyst (NA) from ArcGIS Pro to solve the VRP problem and improve the solution by customizing the algorithm so that all delivery orders for a vehicle are geographically clustered within the service area. Comparative analysis between truck-only and hybrid truck-and-drone scenarios reveals significant efficiency gains, including reductions in delivery routes, on-road minutes, and total miles traveled. A case study conducted in parts of Wyoming, Idaho, Nevada, Utah, and Colorado validates these findings. The results demonstrate a 10.5% reduction in delivery routes, a 15% reduction in on-road minutes, and a 28% decrease in total miles. Further improvements were achieved through spatial clustering, optimizing delivery routes by grouping orders geographically. These findings emphasize the potential of hybrid delivery systems to improve logistics in remote areas, providing actionable insights for supply chain decision-makers, highlighting the robustness of the proposed method.", "keywords": [ "Geospatial analysis", "Drone", "Truck", "Vehicle routing problem", "Robustness (evolution)", "Analytics", "Routing (electronic design automation)", "Geographic information system" ], "cited_by_openalex": 4, "cited_by_scopus": "3", "eid": "2-s2.0-105024605834", "pii": null, "open_access_url": "https://doi.org/10.3390/su172310775", "sources": [ { "db": "openalex", "stream": "TRUCK", "query_id": "TRUCK-3" }, { "db": "openalex", "stream": "UAV", "query_id": "UAV-2" }, { "db": "scopus", "stream": "TRUCK", "query_id": "TRUCK-3" }, { "db": "scopus", "stream": "UAV", "query_id": "UAV-2" } ], "streams": [ "TRUCK", "UAV" ], "relevance_signals": [ "UAV_NO_CTX", "TRUCK_NO_CTX" ], "auto_exclude_reason": "EC-4-topic", "screening_status": "auto_excluded", "screened_by": "auto-v1.0.0" }, { "id": "doi:10.1016/j.swevo.2025.102148", "doi": "10.1016/j.swevo.2025.102148", "title": "A bi-objective routing problem for cooperated trucks and drones in river water quality monitoring", "year": 2025, "authors": [ "Shuo Dang", "Zhihao Luo", "Zhong Liu", "Yuzhen Zhou", "Jianmai Shi" ], "first_author": "Shuo Dang", "venue": "Swarm and Evolutionary Computation", "volume": "98", "pages": null, "type": "article", "language": "en", "abstract": null, "keywords": [ "Computer science", "Drone", "Truck", "Routing (electronic design automation)", "Quality (philosophy)", "Water quality", "Automotive engineering", "Computer network" ], "cited_by_openalex": 4, "cited_by_scopus": "3", "eid": "2-s2.0-105014896891", "pii": "S2210650225003050", "open_access_url": "https://doi.org/10.1016/j.swevo.2025.102148", "sources": [ { "db": "openalex", "stream": "TRUCK", "query_id": "TRUCK-3" }, { "db": "openalex", "stream": "UAV", "query_id": "UAV-2" }, { "db": "scopus", "stream": "TRUCK", "query_id": "TRUCK-3" }, { "db": "scopus", "stream": "UAV", "query_id": "UAV-2" } ], "streams": [ "TRUCK", "UAV" ], "relevance_signals": [ "UAV_NO_CTX", "TRUCK_NO_CTX" ], "auto_exclude_reason": "EC-4-topic", "screening_status": "auto_excluded", "screened_by": "auto-v1.0.0" }, { "id": "doi:10.3390/app15147848", "doi": "10.3390/app15147848", "title": "The Environmental Impact of Inland Empty Container Movements Within Two-Depot Systems", "year": 2025, "authors": [ "Alaa Abdelshafie", "May Salah", "Tomaž Kramberger" ], "first_author": "Alaa Abdelshafie", "venue": "Applied Sciences", "volume": "15", "pages": null, "type": "article", "language": "en", "abstract": "Inefficient inland repositioning of empty containers between depots remains a persistent challenge in container logistics, contributing significantly to unnecessary truck movements, elevated operational costs, and increased CO2 emissions. Acknowledging the importance of this problem, a large amount of relevant literature has appeared. The objective of this paper is to track the empty container flow between ports, empty depots, inland terminals, and customer premises. Additionally, it aims to simulate and assess CO2 emissions, capturing the dynamic interactions between different agents. In this study, agent-based modeling (ABM) was proposed to simulate the empty container movements with an emphasis on inland transportation. ABM is an emerging approach that is increasingly used to simulate complex economic systems and artificial market behaviours. NetLogo was used to incorporate real-world geographic data and quantify CO2 emissions based on truckload status and to evaluate the other operational aspects. Behavior Space was also utilized to systematically conduct multiple simulation experiments, varying parameters to analyze different scenarios. The results of the study show that customer demand frequency plays a crucial role in system efficiency, affecting container availability and logistical tension.", "keywords": [ "NetLogo", "Container (type theory)", "Truck", "Computer science", "Transport engineering", "Operations research", "Environmental science", "Business", "Engineering", "Automotive engineering" ], "cited_by_openalex": 1, "cited_by_scopus": "3", "eid": "2-s2.0-105011850099", "pii": null, "open_access_url": "https://www.mdpi.com/2076-3417/15/14/7848/pdf?version=1752479794", "sources": [ { "db": "openalex", "stream": "TRUCK", "query_id": "TRUCK-3" }, { "db": "scopus", "stream": "TRUCK", "query_id": "TRUCK-3" } ], "streams": [ "TRUCK" ], "relevance_signals": [ "TRUCK_NO_CTX" ], "auto_exclude_reason": "EC-4-topic", "screening_status": "auto_excluded", "screened_by": "auto-v1.0.0" }, { "id": "doi:10.1016/j.jtrangeo.2025.104386", "doi": "10.1016/j.jtrangeo.2025.104386", "title": "Terminal-centric logistics for integrated and profitable intermodal transport networks", "year": 2025, "authors": [ "Jason Monios", "Rickard Bergqvist" ], "first_author": "Jason Monios", "venue": "Journal of Transport Geography", "volume": "129", "pages": null, "type": "article", "language": "en", "abstract": "This paper elaborates the need for intermodal terminals to pursue logistics integration in order to support the balance of flows on their rail shuttles and ultimately achieve a successful business. Port container shuttles in Europe are often marginal due to insufficient distances, short trains and import-dominated flows. The case study of a successful intermodal terminal in Sweden shows how various strategies can secure outbound full flows: an empty depot to provide containers for exporters and save the cost of sending empties to the port; dedicated rail-connected warehousing to provide containerisation of export flows that are then sent full to the port; balancing road haulage from terminal to warehouse with secondary distribution from warehouse to stores. On the sustainability side, this model has enabled the introduction of electric trucks because the company manages their own trucking and charging provision at the intermodal terminal, warehouse and stores. The conclusion of this study is that this success is only possible if all of these activities (rail shuttle, intermodal terminal, warehousing and haulage) are integrated within a single operator who is able to obtain these synergies both in long-term planning and in operations and revenue management. Thus, for increased modal share of intermodal transport as desired by policy makers, we need to favour such strategies of integration based on a model of terminal-centric logistics.", "keywords": [ "Transport engineering", "Terminal (telecommunication)", "Business", "Engineering", "Computer science", "Telecommunications" ], "cited_by_openalex": 2, "cited_by_scopus": "3", "eid": "2-s2.0-105014611360", "pii": "S0966692325002777", "open_access_url": "https://doi.org/10.1016/j.jtrangeo.2025.104386", "sources": [ { "db": "openalex", "stream": "TRUCK", "query_id": "TRUCK-3" }, { "db": "scopus", "stream": "TRUCK", "query_id": "TRUCK-3" } ], "streams": [ "TRUCK" ], "relevance_signals": [ "TRUCK_NO_CTX" ], "auto_exclude_reason": "EC-4-topic", "screening_status": "auto_excluded", "screened_by": "auto-v1.0.0" }, { "id": "doi:10.1080/23249935.2025.2543488", "doi": "10.1080/23249935.2025.2543488", "title": "Real-time coordinated vehicle-drone path planning for urban healthcare delivery services", "year": 2025, "authors": [ "Xintong Li", "Mingzhi Lyu", "Wei Liu", "Ang Li" ], "first_author": "Xintong Li", "venue": "Transportmetrica A Transport Science", "volume": null, "pages": null, "type": "article", "language": "en", "abstract": "Drone-assisted delivery applications in healthcare services have been implemented/tested in various cities. To support drone-assisted healthcare delivery applications, this paper examines the real-time path-planning problem for a heterogeneous fleet of drones and trucks, given a set of depots respectively hosting a fleet of parallel-working trucks and drones. We consider both deterministic scheduled demand and dynamic new demand, and optimise the routing and scheduling for the truck-drone fleets in real-time. We introduce a rolling horizon framework, where the demand information and the status of the drones and the trucks are updated at each epoch as new demands emerge. The operator can re-optimise the routing and scheduling of all vehicles (including en-route vehicles) to meet demand as far as possible and save operating cost. To tackle this problem, we develop a mixed-integer linear programming model that allows multi-visit and multi-trip in a journey of a planning horizon for the drones and trucks. The model also considers the decision on service split (among vehicles) at demand sites to address the payload capacity limitation of a single drone or a single truck. A tailored Adaptive Large Neighborhood Search (ALNS) heuristic is then developed to efficiently solve large-scale instances in computationally tractable time. We also conduct a large-scale case study based on Hong Kong blood product delivery instances to showcase the applicability of the proposed approach, as well as the impact of the number of dynamic demands generated in a planning period and their spatial distribution features on the cost outcomes.", "keywords": [ "Drone", "Truck", "Scheduling (production processes)", "Computer science", "Operations research", "Time horizon", "Payload (computing)", "Vehicle routing problem", "Routing (electronic design automation)", "Transport engineering", "Operations management", "Engineering" ], "cited_by_openalex": 3, "cited_by_scopus": "3", "eid": "2-s2.0-105012864396", "pii": null, "open_access_url": "https://doi.org/10.1080/23249935.2025.2543488", "sources": [ { "db": "openalex", "stream": "TRUCK", "query_id": "TRUCK-3" }, { "db": "scopus", "stream": "TRUCK", "query_id": "TRUCK-3" } ], "streams": [ "TRUCK" ], "relevance_signals": [ "UAV_NO_CTX", "TRUCK_NO_CTX" ], "auto_exclude_reason": "EC-4-topic", "screening_status": "auto_excluded", "screened_by": "auto-v1.0.0" }, { "id": "doi:10.24028/gj.v47i2.322465", "doi": "10.24028/gj.v47i2.322465", "title": "Assessment of pollutants emissions into the atmosphere due to the fire at the Kalynivka oil depotcaused by a missile strike in March 2022", "year": 2025, "authors": [ "Svitlana Boychenko", "Victor I. Karamushka", "Іe. Khlobystov" ], "first_author": "Svitlana Boychenko", "venue": "Geofizicheskiy Zhurnal", "volume": "47", "pages": "79-84", "type": "article", "language": "en", "abstract": "The study assessed the scale of atmospheric pollution as a result of the fire at the Ka-lynivka oil depot in March 2022 due to missile shelling, which led to the burning of 6124.6 tons of gasoline and diesel fuel. Using an approved method, the volumes of pollutants emitted into the atmosphere due to the fire were calculated, namely: CO2 (14.3 tons), particulate matter PM2.5, PM10 and soot (27.4 tons), NOₓ (5.8 tons), SO2 (0.05 ton) and also H2O (6.5 tons), etc. Burning truck tires additionally caused emissions of polycyclic aromatic hydrocarbons, metalcompounds, and other toxic substances. Extinguishing the fire using fluorinated foam (AFFF, AFFF AR) caused additional emissions of fluorinated surfactants. The fire extinguishing area was about 1.4 hectares, and the volume of foam used was 12—15 thousand liters. The discharged substances pose serious risks to ecosystems, including toxicity, climate impacts, and threats to human health.", "keywords": [ "Missile", "Atmosphere (unit)", "Environmental science", "Pollutant", "Aeronautics", "Engineering", "Meteorology", "Aerospace engineering", "Forensic engineering", "Geography", "Chemistry" ], "cited_by_openalex": 2, "cited_by_scopus": "3", "eid": "2-s2.0-105003017541", "pii": null, "open_access_url": "https://doi.org/10.24028/gj.v47i2.322465", "sources": [ { "db": "openalex", "stream": "TRUCK", "query_id": "TRUCK-3" }, { "db": "scopus", "stream": "TRUCK", "query_id": "TRUCK-3" } ], "streams": [ "TRUCK" ], "relevance_signals": [ "TRUCK_NO_CTX" ], "auto_exclude_reason": "EC-4-topic", "screening_status": "auto_excluded", "screened_by": "auto-v1.0.0" }, { "id": "doi:10.1016/j.dajour.2025.100621", "doi": "10.1016/j.dajour.2025.100621", "title": "An evolutionary analytics model for enhancing food distribution through two-tier routing", "year": 2025, "authors": [ "Muhammad Khahfi Zuhanda", "Hartono Hartono", "Samsul A Rahman Sidik Hasibuan", "Najwa Muthmainnah", "Marlina Br Girsang" ], "first_author": "Muhammad Khahfi Zuhanda", "venue": "Decision Analytics Journal", "volume": "16", "pages": null, "type": "article", "language": "en", "abstract": "Food insecurity remains a global challenge that demands efficient and equitable logistical solutions, especially in the distribution of food aid. This study addresses the Two-Echelon Vehicle Routing Problem (2E-VRP) in foodbank logistics by proposing a novel multi-objective optimization framework. The model combines the Non-dominated Sorting Genetic Algorithm II (NSGA-II) with k-means clustering, a rare approach in food distribution logistics, to optimize route efficiency. The first echelon involves transporting food from a central depot to intermediate agents using trucks, while the second echelon involves delivering food from agents to beneficiaries using vans. The primary objectives are to minimize total delivery distance and reduce delivery time, while considering fleet capacities, time window constraints, and ensuring fair distribution. Using spatial and demand data from Medan, Indonesia, the study evaluates the model’s performance, computational efficiency, and sensitivity to logistical factors such as fleet size. Results show that clustering improves route compactness and reduces travel distance, especially in large-scale networks. However, it increases computational time, highlighting a trade-off between solution quality and complexity. This research offers a scalable, data-driven framework for foodbank logistics, contributing to sustainable logistics and providing an innovative solution for optimizing food distribution in both urban and rural settings.", "keywords": [ "Analytics", "Computer science", "Routing (electronic design automation)", "Distribution (mathematics)", "Data science", "Computer network", "Mathematics" ], "cited_by_openalex": 1, "cited_by_scopus": "3", "eid": "2-s2.0-105013868183", "pii": "S2772662225000773", "open_access_url": "https://doi.org/10.1016/j.dajour.2025.100621", "sources": [ { "db": "openalex", "stream": "TRUCK", "query_id": "TRUCK-3" }, { "db": "scopus", "stream": "TRUCK", "query_id": "TRUCK-3" } ], "streams": [ "TRUCK" ], "relevance_signals": [ "TRUCK_NO_CTX" ], "auto_exclude_reason": "EC-4-topic", "screening_status": "auto_excluded", "screened_by": "auto-v1.0.0" }, { "id": "doi:10.1109/tem.2025.3584730", "doi": "10.1109/tem.2025.3584730", "title": "A Bane or Boon of Technologies: Risks and Benefits of Drone Delivery on Last-Mile Operations", "year": 2025, "authors": [ "Eric Ka Ho Leung", "Xin Wen" ], "first_author": "Eric Ka Ho Leung", "venue": "IEEE Transactions on Engineering Management", "volume": "72", "pages": "2892-2912", "type": "article", "language": "en", "abstract": "Drones for logistics operations have emerged as a popular topic in logistics, offering numerous benefits and risks to the society and environment. While drones can have a significant impact on the surroundings, the environment and external factors can also influence drone delivery operations, resulting in a complex interplay. This paper combines a comprehensive literature review and co-citation analysis, supplemented by practices, to explore the two-way interaction between drones and the environment. The benefits and risks of this interaction are also examined. A trend analysis is further conducted to generate insights regarding the stages of development in the literature. Combining findings from the reviewed literature and practices, we propose the novel 3R framework to guide future drone delivery adoption in practical operations. This framework highlights the importance of investigating drone delivery models and their respective risks that should be mitigated. Finally, a future research agenda is proposed to inspire further explorations in this rapidly evolving field of last-mile operations.", "keywords": [ "Drone", "Last mile (transportation)", "Mile", "Aeronautics", "Engineering", "Computer science", "Business", "Geography" ], "cited_by_openalex": 3, "cited_by_scopus": "3", "eid": "2-s2.0-105010089498", "pii": null, "open_access_url": "https://doi.org/10.1109/tem.2025.3584730", "sources": [ { "db": "openalex", "stream": "UAV", "query_id": "UAV-1" }, { "db": "scopus", "stream": "UAV", "query_id": "UAV-1" } ], "streams": [ "UAV" ], "relevance_signals": [ "UAV" ], "auto_exclude_reason": null, "screening_status": "pending_human_screening", "screened_by": "auto-v1.0.0" }, { "id": "doi:10.3390/drones9080513", "doi": "10.3390/drones9080513", "title": "Optimizing Energy Efficiency in Last-Mile Delivery: A Collaborative Approach with Public Transportation System and Drones", "year": 2025, "authors": [ "Pierre Romet", "Charbel Hage", "El‐Hassane Aglzim", "Tonino Sophy", "Franck Gechter" ], "first_author": "Pierre Romet", "venue": "Drones", "volume": "9", "pages": null, "type": "article", "language": "en", "abstract": "Accurately estimating the energy consumption of unmanned aerial vehicles (UAVs) in real-world delivery scenarios remains a critical challenge, particularly when UAVs operate in complex urban environments and are coupled with public transportation systems. Most existing models rely on oversimplified assumptions or static mission profiles, limiting their applicability to realistic, scalable drone-based logistics. In this paper, we propose a physically-grounded and scenario-aware energy sizing methodology for UAVs operating as part of a last-mile delivery system integrated with a city’s bus network. The model incorporates detailed physical dynamics—including lift, drag, thrust, and payload variations—and considers real-time mission constraints such as delivery execution windows and infrastructure interactions. To enhance the realism of the energy estimation, we integrate computational fluid dynamics (CFD) simulations that quantify the impact of surrounding structures and moving buses on UAV thrust efficiency. Four mission scenarios of increasing complexity are defined to evaluate the effects of delivery delays, obstacle-induced aerodynamic perturbations, and early return strategies on energy consumption. The methodology is applied to a real-world transport network in Belfort, France, using a graph-based digital twin. Results show that environmental and operational constraints can lead to up to 16% additional energy consumption compared to idealized mission models. The proposed framework provides a robust foundation for UAV battery sizing, mission planning, and sustainable integration of aerial delivery into multimodal urban transport systems.", "keywords": [ "Mile", "Drone", "Last mile (transportation)", "Public transport", "Transport engineering", "Aeronautics", "Computer science", "Engineering", "Business", "Geography" ], "cited_by_openalex": 3, "cited_by_scopus": "3", "eid": "2-s2.0-105014516212", "pii": null, "open_access_url": "https://www.mdpi.com/2504-446X/9/8/513/pdf?version=1753171530", "sources": [ { "db": "openalex", "stream": "UAV", "query_id": "UAV-1" }, { "db": "openalex", "stream": "UAV", "query_id": "UAV-3" }, { "db": "scopus", "stream": "UAV", "query_id": "UAV-1" }, { "db": "scopus", "stream": "UAV", "query_id": "UAV-3" } ], "streams": [ "UAV" ], "relevance_signals": [ "UAV" ], "auto_exclude_reason": null, "screening_status": "pending_human_screening", "screened_by": "auto-v1.0.0" }, { "id": "doi:10.71146/kjmr366", "doi": "10.71146/kjmr366", "title": "AUTONOMOUS DRONE NAVIGATION USING AI: REVOLUTIONIZING LAST-MILE DELIVERY IN E-COMMERCE AND LOGISTICS", "year": 2025, "authors": [ "Nadia Mustaqim Ansari", "Naib Khan", "Rizwan Iqbal", "Muhammad Fahmi Ismail", "Hassam Gul" ], "first_author": "Nadia Mustaqim Ansari", "venue": "Kashf Journal of Multidisciplinary Research", "volume": null, "pages": null, "type": "article", "language": "en", "abstract": "In integrating artificial intelligence (AI) into autonomous drone technology, researcher seen how autonomous drone technology switched from last mile delivery for delivering goods to enhance efficiency, reduce the operational costs, and minimize environmental impact. In this study, researcher try to understand the applying of AI ways on navigation systems based on deep learning, reinforcement learning, and computer vision that make it possible to optimize a route and also to keep away from obstacles. In the design and testing of AI-powered drones, the research uses a mix of simulated environments and actual environments to determine the performance in urban and rural settings. Results show that AI based navigation greatly enhances the delivery speed, energy and accuracy as opposed to conventional delivery approaches. The discussion also enumerates the advantages and disadvantages of using AI powered drones given the regulatory barriers, weather constraints, public acceptance issues. Future research can be focused on making AI more adaptable in dynamic environments by blockchain integration for the secure tracking of package as well as use of 5G network for real-time control. The recommendations are: to develop standardized regulations for drone logistics, enhance the collaboration between the AI researcher and the policymakers and also improve the public awareness of the autonomous drone operations. The results lay the grounds for smart logistics to arrive at sustainable solutions for the last mile delivery of the future.", "keywords": [ "Drone", "Mile", "Last mile (transportation)", "Aeronautics", "Computer science", "Engineering", "Transport engineering", "Geography" ], "cited_by_openalex": 3, "cited_by_scopus": 0, "eid": null, "pii": null, "open_access_url": "https://kjmr.com.pk/kjmr/article/download/366/463", "sources": [ { "db": "openalex", "stream": "UAV", "query_id": "UAV-1" } ], "streams": [ "UAV" ], "relevance_signals": [ "UAV" ], "auto_exclude_reason": null, "screening_status": "pending_human_screening", "screened_by": "auto-v1.0.0" }, { "id": "doi:10.1016/j.apm.2025.116175", "doi": "10.1016/j.apm.2025.116175", "title": "A drone-assisted last-mile delivery framework for shipment prioritization in post-disaster and high demand periods", "year": 2025, "authors": [ "Omar Abou Kasm", "Meredith Raymer", "Ali H. Diabat" ], "first_author": "Omar Abou Kasm", "venue": "Applied Mathematical Modelling", "volume": "146", "pages": null, "type": "article", "language": "en", "abstract": "The aftermath of a disaster can observe increased demands for online purchases and deliveries due to a decreased local supply. The increased demands may then induce delays in item delivery. Natural disasters may also result in epidemics and critical medical situations. Thus, the deliveries can include both life-essential items, such as medicine or medical equipment, and non-essential items, such as toys or decor products. Similar circumstances may be induced by other abnormal situations, such as pandemics or wars. It is then important to prioritize shipments to ensure early delivery of life-essential products at the expense of delaying non-essential items. In this work, we introduce a framework to prioritize shipments with application on drone-assisted last-mile deliveries. While the framework is general and can be used in different last-mile delivery types, the selection of drone-assisted deliveries is important for post-disaster situations to allow for contactless deliveries in case of epidemic outbreaks, and to reach destinations inaccessible by vehicles due to damaged roads and infrastructure. We consider different priority levels ranging from high priority to low priority items. High priority items must be delivered as soon as possible, medium priority items must be delivered within a certain time frame, and low priority items can be delivered after the high and medium priority conditions are met. We introduce a mixed integer program to model the drone-assisted last-mile deliveries with the prioritization scheme and propose a solution framework to systematically solve the problem. Finally, we illustrate the benefits of the model through numerical cases and simulations, and discuss its implications. • Drone-assisted last-mile deliveries in post-disaster and high-demand periods. • A prioritization scheme to ensure the prompt delivery of essential items. • A mixed integer program formulation is designed and presented. • A solution framework that aids in solving the problem is designed and presented. • Numerical cases and simulations are presented and discussed.", "keywords": [ "Drone", "Mile", "Last mile (transportation)", "Prioritization", "Business", "Aeronautics", "On demand", "Computer science", "Transport engineering", "Engineering", "Geography", "Process management" ], "cited_by_openalex": 3, "cited_by_scopus": "3", "eid": "2-s2.0-105004800542", "pii": "S0307904X25002501", "open_access_url": "https://doi.org/10.1016/j.apm.2025.116175", "sources": [ { "db": "openalex", "stream": "UAV", "query_id": "UAV-1" }, { "db": "scopus", "stream": "TRUCK", "query_id": "TRUCK-1" }, { "db": "scopus", "stream": "UAV", "query_id": "UAV-1" } ], "streams": [ "TRUCK", "UAV" ], "relevance_signals": [ "UAV" ], "auto_exclude_reason": null, "screening_status": "pending_human_screening", "screened_by": "auto-v1.0.0" }, { "id": "doi:10.1016/j.trpro.2025.06.003", "doi": "10.1016/j.trpro.2025.06.003", "title": "Evaluating barriers to drone application in rural areas", "year": 2025, "authors": [ "Snežana Radoman Tadić", "Ljubica Radovanović", "Mladen Dragan Krstić", "Olja Čokorilo", "Miloš Veljović" ], "first_author": "Snežana Radoman Tadić", "venue": "Transportation research procedia", "volume": "90", "pages": "1070-1077", "type": "article", "language": "en", "abstract": "New technologies, such as drone delivery (DD), have the potential to transform rural goods delivery and support the achievement of sustainable development goals, particularly regarding health and well-being. While previous research highlights the advantages (fast delivery, high responsiveness, cost-effectiveness, etc.) and applicability of drones in last-mile delivery, especially in e-commerce and urban areas, their applicability in rural areas (RA) remains underexplored. This study analyzes the barriers to adopting DD of goods in RA using a hybrid Grey Delphi-BWM model. Research results identify lack of aviation regulations, drone owner liability, identity theft, unauthorized data usage, cultural perceptions, unauthorized photography and filming without consent, and insurance obligations as major obstacles, providing insights to decision-makers and policymakers to support successful adoption of DD in RA. Considering the identified barriers, this research suggests the need for regulatory adaptation and policy development to facilitate the implementation of DD in rural environments.", "keywords": [ "Drone", "Transport engineering", "Computer science", "Environmental planning", "Business", "Engineering", "Computer security", "Geography", "Biology" ], "cited_by_openalex": 4, "cited_by_scopus": "3", "eid": "2-s2.0-105010300204", "pii": "S2352146525005101", "open_access_url": "https://doi.org/10.1016/j.trpro.2025.06.003", "sources": [ { "db": "openalex", "stream": "UAV", "query_id": "UAV-1" }, { "db": "scopus", "stream": "UAV", "query_id": "UAV-1" } ], "streams": [ "UAV" ], "relevance_signals": [ "UAV" ], "auto_exclude_reason": null, "screening_status": "pending_human_screening", "screened_by": "auto-v1.0.0" }, { "id": "doi:10.1121/10.0039953", "doi": "10.1121/10.0039953", "title": "Directional active noise control for drone noise reduction", "year": 2025, "authors": [ "Hanwen Bi", "Yile Zhang", "Thushara Dheemantha Abhayapala", "Prasanga N. Samarasinghe" ], "first_author": "Hanwen Bi", "venue": "JASA Express Letters", "volume": "5", "pages": null, "type": "article", "language": "en", "abstract": "Drones have become essential tools for applications ranging from aerial surveillance to last-mile delivery, raising concerns about noise pollution in populated environments. This paper presents a directional active noise control (ANC) framework that targets far-field noise reduction, rather than local suppression. A virtual microphone-based ANC algorithm is employed, using a near-drone microphone array to attenuate noise in a specific region. Experiments in a semi-anechoic chamber show an average reduction of 4.78 dB in the 1500-2400 Hz band and up to 10 dB at harmonic frequencies, highlighting the promise of directional ANC for quieter drone operations in sensitive settings.", "keywords": [ "Drone", "Active noise control", "Noise reduction", "Noise (video)", "Noise control", "Microphone", "Ranging", "Noise pollution" ], "cited_by_openalex": 4, "cited_by_scopus": "3", "eid": "2-s2.0-105023472190", "pii": null, "open_access_url": "https://pubs.aip.org/asa/jel/article-pdf/doi/10.1121/10.0039953/20817863/124801_1_10.0039953.pdf", "sources": [ { "db": "openalex", "stream": "UAV", "query_id": "UAV-1" }, { "db": "scopus", "stream": "UAV", "query_id": "UAV-1" } ], "streams": [ "UAV" ], "relevance_signals": [ "UAV" ], "auto_exclude_reason": null, "screening_status": "pending_human_screening", "screened_by": "auto-v1.0.0" }, { "id": "doi:10.1109/access.2025.3603185", "doi": "10.1109/access.2025.3603185", "title": "Aircraft-Cargo Separation Rate-Driven Ground Risk–Cost Optimization for Urban Logistics UAVs", "year": 2025, "authors": [ "Tao Yang", "Baoli Zheng", "Mingli Mo", "Jie Shang", "Huang Dan" ], "first_author": "Tao Yang", "venue": "IEEE Access", "volume": "13", "pages": "154568-154580", "type": "article", "language": "en", "abstract": "The surge in demand for urban logistics has positioned unmanned aerial vehicles (UAVs) as a vital solution for improving last mile delivery efficiency in complex urban environments. To overcome the ground safety bottleneck in the large-scale application of logistics UAVs, this paper establishes a full-chain framework of “risk characteristics–quantitative model–risk cost” that proposes an innovative dual-state risk–cost optimization model based on aircraft-cargo separation probability. The study quantifies the separation probability using the Weibull distribution, corrects the risk value assessment deviation under the traditional single fall assumption, and establishes a risk probability model for the separation state by combining the dynamic characteristic differences between the UAV body and cargo, enabling the generation of rasterized risk maps by integrating spatial parameters, including population density and shelter coefficients, to implement risk–cost conversion and support airspace management. Case verification reveals that in areas with different land uses, there are significant differences in the ground risk values and risk costs of logistics UAVs. Additionally, introducing the aircraft-cargo separation rate improves risk assessment accuracy by 57%, and the ground risk in the aircraft-cargo integrated state is 4.31 times higher than in the separated state. This study provides core theoretical support for the safe operation and route decision-making involving logistics UAVs in complex urban scenarios.", "keywords": [ "Separation (statistics)", "Computer science", "Environmental science", "Aerospace engineering", "Aeronautics", "Engineering" ], "cited_by_openalex": 3, "cited_by_scopus": "3", "eid": "2-s2.0-105014407757", "pii": null, "open_access_url": "https://doi.org/10.1109/access.2025.3603185", "sources": [ { "db": "openalex", "stream": "UAV", "query_id": "UAV-1" }, { "db": "scopus", "stream": "UAV", "query_id": "UAV-1" } ], "streams": [ "UAV" ], "relevance_signals": [ "UAV" ], "auto_exclude_reason": null, "screening_status": "pending_human_screening", "screened_by": "auto-v1.0.0" }, { "id": "doi:10.3390/app152011249", "doi": "10.3390/app152011249", "title": "Integrated Two-Stage Optimization of Strategic Unmanned Aerial Vehicle Allocation and Operational Scheduling Under Demand Uncertainty", "year": 2025, "authors": [ "Xiaojin Zheng", "Shengkun Qin", "Yanxia Zhang", "Jiazhen Huo" ], "first_author": "Xiaojin Zheng", "venue": "Applied Sciences", "volume": "15", "pages": null, "type": "article", "language": "en", "abstract": "The rapid growth of e-commerce has intensified the need for efficient last-mile delivery, making unmanned aerial vehicles (UAVs) a promising solution. However, despite their potential, practical deployment remains limited by how to effectively plan depot locations and UAV fleet sizes under stochastic customer demands with probabilistic same-day modifications. Existing approaches often address the strategic and operational decisions separately, leading to inefficiencies and infeasible solutions in practice. This study develops a unified two-stage decision framework integrating strategic depot location and UAV fleet allocation with operational assignment and scheduling. Three strategic models are considered: a deterministic model, a stochastic model solved via Sample Average Approximation (SAA), and a robust optimization model. Operational decisions assign UAV trips to realized requests while respecting time-slot and UAV availability constraints. Deterministic and SAA models are solved directly as integer programs, whereas the robust model is tackled via a logic-based Benders decomposition framework, with all approaches evaluated through simulation. The results show that the robust model provides overly conservative solutions, resulting in higher costs; the deterministic model minimizes cost but risks service failures; and the SAA approach balances cost and service across demand scenarios. The findings demonstrate the value of jointly considering strategic and operational decisions in UAV delivery design and provide practical guidance for UAV logistics operators. The proposed framework helps firms select appropriate planning models that align with their risk tolerance and service reliability goals, thereby improving the feasibility and competitiveness of UAV-based delivery systems.", "keywords": [ "Probabilistic logic", "Scheduling (production processes)", "Software deployment", "Stochastic programming", "Reliability (semiconductor)", "Service (business)", "Robust optimization", "Operational planning", "Integer programming", "Time horizon" ], "cited_by_openalex": 3, "cited_by_scopus": "3", "eid": "2-s2.0-105020263079", "pii": null, "open_access_url": "https://www.mdpi.com/2076-3417/15/20/11249/pdf?version=1761025148", "sources": [ { "db": "openalex", "stream": "UAV", "query_id": "UAV-1" }, { "db": "openalex", "stream": "UAV", "query_id": "UAV-2" }, { "db": "scopus", "stream": "UAV", "query_id": "UAV-1" } ], "streams": [ "UAV" ], "relevance_signals": [ "UAV" ], "auto_exclude_reason": null, "screening_status": "pending_human_screening", "screened_by": "auto-v1.0.0" }, { "id": "doi:10.3390/sym17091382", "doi": "10.3390/sym17091382", "title": "A New Vehicle–Multi-Drone Collaborative Delivery Path Optimization Approach", "year": 2025, "authors": [ "Jinhui Li", "Meng Wang" ], "first_author": "Jinhui Li", "venue": "Symmetry", "volume": "17", "pages": null, "type": "article", "language": "en", "abstract": "To address the logistical challenges of traffic congestion and environmental concerns associated with carbon emissions in last-mile delivery, this paper explores the potential of vehicle–drone cooperative delivery. The existing studies are predominantly confined to single-drone scenarios, failing to simultaneously consider the constraints of drone payload capacity and endurance. This limitation leads to task allocation imbalance in large-scale customer deliveries and low distribution efficiency. Firstly, a mathematical model for vehicle–multi-drone collaborative delivery with payload and endurance constraint (VMDCD-PEC) is proposed. Secondly, an improved genetic algorithm (IGA) is developed, as follows: 1. designing a hybrid selection strategy to achieve symmetrical equilibrium between exploration and exploitation by adjusting the weights of dynamic fitness–distance balance, greedy selection, and random selection; and 2. introducing the local search operator composed of gene sequence reversal, single-gene slide-down, and random half-swap to improve the neighborhood quality solution mining efficiency. Finally, the experimental results show that compared with a traditional genetic algorithm (GA) and adaptive large neighborhood search (ALNS), the IGA requires less time to find solutions in various test cases and reduces the average cost of the optimal solution by up to 30%. In addition, an analysis of drone payload sensitivity showed that drone payload capacity is negatively correlated with delivery time, and that larger customer sizes corresponded to higher sensitivity.", "keywords": [ "Drone", "Computer science", "Path (computing)", "Artificial intelligence", "Computer network", "Biology" ], "cited_by_openalex": 2, "cited_by_scopus": "3", "eid": "2-s2.0-105017255499", "pii": null, "open_access_url": "https://www.mdpi.com/2073-8994/17/9/1382/pdf?version=1756100190", "sources": [ { "db": "openalex", "stream": "UAV", "query_id": "UAV-1" }, { "db": "scopus", "stream": "UAV", "query_id": "UAV-1" } ], "streams": [ "UAV" ], "relevance_signals": [ "UAV" ], "auto_exclude_reason": null, "screening_status": "pending_human_screening", "screened_by": "auto-v1.0.0" }, { "id": "doi:10.3390/drones9110759", "doi": "10.3390/drones9110759", "title": "Operational Performance of a 3D Urban Aerial Network and Agent-Distributed Architecture for Freight Delivery by Drones", "year": 2025, "authors": [ "Maria Nadia Postorino", "Giuseppe M. L. Sarnè" ], "first_author": "Maria Nadia Postorino", "venue": "Drones", "volume": "9", "pages": null, "type": "article", "language": "en", "abstract": "The growing demand for fast and sustainable urban deliveries has accelerated exploration of the use of Unmanned Aerial Vehicles as viable logistics solutions for the last mile. This study investigates the integration of a distributed multi-agent system with a structured three-dimensional Urban Aerial Network (3D-UAN) for drone delivery operations. The proposed architecture models each drone as an autonomous agent operating within predefined air corridors and communication protocols. Unlike traditional approaches, which rely on simplified 2D models or centralized control systems, this research exploits a multi-layered 3D network structure combined with decentralized decision-making for improving scalability, safety, and responsiveness in complex environments. Through agent-based simulations, this study evaluates the operational performance of the proposed system under varying fleet size conditions, focusing on travel times and system scalability. Preliminary results demonstrate that the potential of this approach in supporting efficient, adaptive, resilient logistics within Urban Air Mobility frameworks depends on both the size of the fleet operating in the 3D-UAN and constraints linked to the current regulations and technological properties, such as the maximum allowed operational height. These findings contribute to ongoing efforts to define robust operational architectures and simulation methodologies for next-generation urban freight transport systems.", "keywords": [ "Drone", "Exploit", "Architecture", "Systems architecture", "Control (management)", "Network architecture", "Operational efficiency" ], "cited_by_openalex": 1, "cited_by_scopus": "3", "eid": "2-s2.0-105023119742", "pii": null, "open_access_url": "https://doi.org/10.3390/drones9110759", "sources": [ { "db": "openalex", "stream": "UAV", "query_id": "UAV-1" }, { "db": "openalex", "stream": "UAV", "query_id": "UAV-2" }, { "db": "scopus", "stream": "UAV", "query_id": "UAV-1" }, { "db": "scopus", "stream": "UAV", "query_id": "UAV-3" } ], "streams": [ "UAV" ], "relevance_signals": [ "UAV" ], "auto_exclude_reason": null, "screening_status": "pending_human_screening", "screened_by": "auto-v1.0.0" }, { "id": "doi:10.4018/979-8-3693-8462-6.ch005", "doi": "10.4018/979-8-3693-8462-6.ch005", "title": "Autonomous UAV Swarms", "year": 2025, "authors": [ "S. Suresh", "D. Velmurugan", "N. Vasudevan", "D. Surekha Rathi Samundi", "R. Elayaraja" ], "first_author": "S. Suresh", "venue": "Innovations and Developments in Unmanned Aerial Vehicles", "volume": null, "pages": "95-127", "type": "book-chapter", "language": "en", "abstract": "Autonomous UAV swarms are transforming automation, collaboration, and data-driven decision-making in Industry 5.0. This chapter explores their innovative applications, underscoring their impact on efficiency, adaptability, and safety across sectors. In manufacturing, UAV swarms streamline inventory management, conduct inspections, and optimize supply chains, boosting productivity. In agriculture, they enable precision farming through real-time crop monitoring, soil analysis, and pest control. In construction, UAV swarms facilitate site mapping, progress tracking, and safety inspections. In logistics, they enhance last-mile delivery, warehouse operations, and traffic monitoring. These applications illustrate how UAV swarms advance Industry 5.0's vision of seamless, intelligent systems, fostering interconnected and adaptive industrial ecosystems.", "keywords": [ "Computer science", "Artificial intelligence", "Computer vision" ], "cited_by_openalex": 3, "cited_by_scopus": "3", "eid": "2-s2.0-105004337433", "pii": null, "open_access_url": "https://doi.org/10.4018/979-8-3693-8462-6.ch005", "sources": [ { "db": "openalex", "stream": "UAV", "query_id": "UAV-1" }, { "db": "scopus", "stream": "UAV", "query_id": "UAV-1" } ], "streams": [ "UAV" ], "relevance_signals": [ "UAV" ], "auto_exclude_reason": null, "screening_status": "pending_human_screening", "screened_by": "auto-v1.0.0" }, { "id": "doi:10.1007/s42979-025-04063-5", "doi": "10.1007/s42979-025-04063-5", "title": "Learning-Based UAV Swarm Video Analytics Orchestration in Disaster Response Management", "year": 2025, "authors": [ "Tiying Gao", "Dwight Goins", "Chaise Ballotti", "Jiaqing Liu", "Chengyi Qu" ], "first_author": "Tiying Gao", "venue": "SN Computer Science", "volume": "6", "pages": null, "type": "article", "language": "en", "abstract": null, "keywords": [ "Orchestration", "Analytics", "Computer science", "Disaster response", "Data science", "Swarm behaviour", "Emergency management", "Artificial intelligence" ], "cited_by_openalex": 3, "cited_by_scopus": "3", "eid": "2-s2.0-105007519278", "pii": null, "open_access_url": "https://doi.org/10.1007/s42979-025-04063-5", "sources": [ { "db": "openalex", "stream": "UAV", "query_id": "UAV-1" }, { "db": "scopus", "stream": "UAV", "query_id": "UAV-1" } ], "streams": [ "UAV" ], "relevance_signals": [ "UAV_NO_CTX" ], "auto_exclude_reason": "EC-4-topic", "screening_status": "auto_excluded", "screened_by": "auto-v1.0.0" }, { "id": "doi:10.1142/s2301385026500408", "doi": "10.1142/s2301385026500408", "title": "Quadrotor UAV Elastically Attached to Uncertain Payload: Trajectory Control and Vibrations Suppression", "year": 2025, "authors": [ "Renan Sanches Geronel", "Marco Rinaldi", "Maíra Martins da Silva", "Stefano Primatesta" ], "first_author": "Renan Sanches Geronel", "venue": "Unmanned Systems", "volume": null, "pages": null, "type": "article", "language": "en", "abstract": "Quadrotor Unmanned Aerial Vehicles (UAVs) are a promising configuration in the context of Unmanned Aircraft System (UAS) technology as they can be effectively used for a variety of tasks in terms of the development of innovative aerial transportation systems, e.g. last-mile delivery and transportation of medical samples. In applications with payload transportation, the vibrations induced during the flight pose significant challenges, potentially compromising the flight stability and the integrity of the payload (e.g. these issues become critical in certain applications such as the transportation of medical samples). Thus, the accurate modeling and evaluation of these vibrations are essential to ensure reliable operations. This paper describes the design of a Sliding Mode Control (SMC) strategy with parametric uncertainties and optimized gains for controlling a quadrotor carrying a payload, when a flexible attachment link is assumed between both systems. The effects of both the payload and the flexibility of the attachment link on the system dynamics are investigated. Moreover, the Genetic Algorithm (GA) and Sequential Quadratic Programming (SQP) are combined for tuning the gains of the sliding mode controller in a shorter computational time. In this sense, we propose to use the GA with fewer iterations than the convergence, and then finalize the optimization with an additional efficient and lower computational time procedure (SQP). Since lower oscillations are required, the objective function is designed based on the relative trajectory oscillations to minimize the intensity of the payload’s vibrations and their uncertainties. The simulation results obtained using MATLAB/Simulink corroborate the validity of the approach, which allows the quadrotor platform to track a reference trajectory while containing the oscillations of the payload. Also, the proposed control approach accounts for payload’s parametric uncertainties regarding payload mass and payload inertia values.", "keywords": [ "Payload (computing)", "Trajectory", "Control theory (sociology)", "Vibration", "Control (management)", "Vibration control", "Computer science", "Aerospace engineering", "Control engineering", "Aeronautics", "Engineering", "Physics" ], "cited_by_openalex": 3, "cited_by_scopus": "3", "eid": "2-s2.0-105007518031", "pii": null, "open_access_url": "https://doi.org/10.1142/s2301385026500408", "sources": [ { "db": "openalex", "stream": "UAV", "query_id": "UAV-1" }, { "db": "scopus", "stream": "UAV", "query_id": "UAV-1" } ], "streams": [ "UAV" ], "relevance_signals": [ "UAV" ], "auto_exclude_reason": null, "screening_status": "pending_human_screening", "screened_by": "auto-v1.0.0" }, { "id": "doi:10.31763/ijrcs.v5i1.1757", "doi": "10.31763/ijrcs.v5i1.1757", "title": "Neural Network Architectures for UAV Path Planning: A Comparative Study with A* Algorithm as Benchmark", "year": 2025, "authors": [ "Gregorius Airlangga", "Julius Victor Manuel Bata", "Oskar Ika Adi Nugroho", "Lai Ferry Sugianto" ], "first_author": "Gregorius Airlangga", "venue": "International Journal of Robotics and Control Systems", "volume": "5", "pages": "625-639", "type": "article", "language": "en", "abstract": "Autonomous path planning for Unmanned Aerial Vehicles (UAVs) plays a critical role in applications ranging from disaster response to urban logistics. Traditional algorithms, such as A*, are widely recognized for their reliability in generating collision-free and efficient trajectories but often struggle with scalability in complex and dynamic environments. This study evaluates the performance of several neural network architectures, including MLP-LSTM, CNN-GRU, CNN-LSTM, CNN BILSTM, and others, as potential alternatives to classical methods. A dataset of trajectories generated by the A* algorithm was used to train and benchmark the models, enabling direct performance comparison across key metrics such as path length, smoothness, clearance, collisions, and waypoint density. The results demonstrate that the MLP-LSTM model outperforms other neural architectures, producing paths that closely resemble A* trajectories with high smoothness and waypoint granularity. While some models, such as CNN-GRU and CNN-BILSTM, show promise in generating feasible paths, their performance is inconsistent across different UAV scenarios. Models like Residual CNN and Hybrid CNN-MHA failed to generate meaningful trajectories, highlighting the critical importance of architectural choices. This study underscores the potential of neural network models for UAV path planning.", "keywords": [ "Benchmark (surveying)", "Computer science", "Motion planning", "Path (computing)", "Artificial neural network", "Algorithm", "Artificial intelligence", "Machine learning", "Computer network", "Geography", "Robot", "Cartography" ], "cited_by_openalex": 3, "cited_by_scopus": "3", "eid": "2-s2.0-85217635810", "pii": null, "open_access_url": "https://doi.org/10.31763/ijrcs.v5i1.1757", "sources": [ { "db": "openalex", "stream": "UAV", "query_id": "UAV-1" }, { "db": "scopus", "stream": "UAV", "query_id": "UAV-1" } ], "streams": [ "UAV" ], "relevance_signals": [ "UAV" ], "auto_exclude_reason": null, "screening_status": "pending_human_screening", "screened_by": "auto-v1.0.0" }, { "id": "doi:10.3390/drones9050359", "doi": "10.3390/drones9050359", "title": "Stochastic Planning of Synergetic Conventional Vehicle and UAV Delivery Operations", "year": 2025, "authors": [ "Κωνσταντίνος Κουρέτας", "Konstantinos L. Kepaptsoglou" ], "first_author": "Κωνσταντίνος Κουρέτας", "venue": "Drones", "volume": "9", "pages": null, "type": "article", "language": "en", "abstract": "Synergetic transportation schemes are extensively used in package delivery operations, exploiting the best features of different modes. This paper proposes a methodology to solve the mode assignment and routing problem for the case of combined conventional vehicle and unmanned aerial vehicle (CV–UAV) parcel deliveries under uncertainty for next-day operations. This research incorporates ground and air uncertainties: travel times are assumed for conventional vehicles, while UAV paths are affected by weather conditions and restricted flying zones. A nested genetic algorithm is initially used to solve the problem under fixed conditions. Then, a robust optimization approach is employed to propose the best solution that will perform well in a stochastic environment. The framework is applied to a case study of realistic urban–suburban size, and results are discussed. The entire platform is useful for strategic decisions on infrastructure and for operation planning with satisfactory performance and less risk.", "keywords": [ "Computer science", "Operations research", "Engineering" ], "cited_by_openalex": 2, "cited_by_scopus": "3", "eid": "2-s2.0-105006766414", "pii": null, "open_access_url": "https://www.mdpi.com/2504-446X/9/5/359/pdf?version=1746717981", "sources": [ { "db": "openalex", "stream": "UAV", "query_id": "UAV-1" }, { "db": "openalex", "stream": "UAV", "query_id": "UAV-2" }, { "db": "scopus", "stream": "UAV", "query_id": "UAV-1" }, { "db": "scopus", "stream": "UAV", "query_id": "UAV-2" } ], "streams": [ "UAV" ], "relevance_signals": [ "UAV" ], "auto_exclude_reason": null, "screening_status": "pending_human_screening", "screened_by": "auto-v1.0.0" }, { "id": "doi:10.1007/s40747-025-02196-x", "doi": "10.1007/s40747-025-02196-x", "title": "PHOENIX: A Hybrid Metaheuristic Framework for Multi-UAV Collaborative Trajectory Planning in Complex Three-Dimensional Environments", "year": 2025, "authors": [ "Ershen Wang", "Hu Xu", "Guipeng Ji", "Tengli Yu", "Song Xu", "Fei Liu", "Fan Li" ], "first_author": "Ershen Wang", "venue": "Complex & Intelligent Systems", "volume": "12", "pages": null, "type": "article", "language": "en", "abstract": "Multi-unmanned aerial vehicle (UAV) collaborative trajectory planning in complex three-dimensional (3D) environments faces critical challenges in real-time coordination, including balancing path optimality, collision avoidance, and computational efficiency under dynamic obstacle fields. While existing metaheuristic algorithms exhibit limitations in convergence speed and adaptability to high-density obstacles ( \\( > 0.8 threats/km^{3}\\) ), this study introduces PHOENIX—a hybrid metaheuristic framework that synergizes the crested porcupine optimizer (CPO) and ant lion optimizer (ALO) through a dual-layer cooperative mechanism. Three key innovations are proposed: (1) A hierarchical flight protection zone model compliant with RTCA DO-263 standards, dynamically integrating CPO’s collision-avoidance strategies with real-time risk prediction; (2) A chaos-enhanced initialization strategy employing interval-constrained logistic mapping, which increases population diversity by 32.7% (quantified via Shannon entropy, \\( p<0.05\\) ); (3) An adaptive weight adjustment mechanism with nonlinear decay, achieving 23.5% and 18.7% faster convergence than particle swarm optimization (PSO) and grey wolf optimizer (GWO), respectively. Extensive evaluations on LANDSAT 9-derived 3D terrains demonstrate PHOENIX’s superiority: it reduces average path length by 6.2%, decreases threat exposure by 7.3%, and improves trajectory smoothness by 8.9% compared with state-of-the-art benchmarks. AirSim-based simulations with five UAVs validate 100% collision-free success rates in dynamic urban scenarios, outperforming CPO and ALO in robustness ( \\( p<0.01\\) ). The framework effectively resolves exploration-exploitation dilemmas while maintaining computational efficiency ( \\(<50ms \\) per planning cycle), offering a scalable solution for mission-critical applications such as disaster response and smart city logistics. By bridging bio-inspired optimization with complex system dynamics, this work advances intelligent autonomous system research.", "keywords": [ "Metaheuristic", "Particle swarm optimization", "Robustness (evolution)", "Ant colony optimization algorithms", "Population", "Motion planning", "Swarm intelligence", "Computational intelligence", "Evolutionary algorithm" ], "cited_by_openalex": 4, "cited_by_scopus": "3", "eid": "2-s2.0-105027416186", "pii": null, "open_access_url": "https://link.springer.com/content/pdf/10.1007/s40747-025-02196-x.pdf", "sources": [ { "db": "openalex", "stream": "UAV", "query_id": "UAV-1" }, { "db": "scopus", "stream": "UAV", "query_id": "UAV-1" } ], "streams": [ "UAV" ], "relevance_signals": [ "UAV" ], "auto_exclude_reason": null, "screening_status": "pending_human_screening", "screened_by": "auto-v1.0.0" }, { "id": "doi:10.1080/23302674.2025.2544714", "doi": "10.1080/23302674.2025.2544714", "title": "Unmanned aerial vehicle and autonomous delivery robot station for last-mile delivery services", "year": 2025, "authors": [ "Byoungil Choi", "Joohang Kang", "Joonyup Eun", "Taesu Cheong" ], "first_author": "Byoungil Choi", "venue": "International Journal of Systems Science Operations & Logistics", "volume": "12", "pages": null, "type": "article", "language": "en", "abstract": "Innovation in the logistics industry has been steadily drawing attention to meet customer and company needs. Delivery services using unmanned aerial vehicles and delivery robots, as next generation delivery vehicles, have been actively investigated in both academia and industry. This paper introduces the new last-mile delivery station model that considers two practical issues. First, to hedge business risks (i.e. delivery suspension or inefficient routing) that can arise when employing homogeneous vehicles, companies are likely to adopt heterogeneous vehicles for their delivery service models. Only homogeneous vehicles are used in existing station models. Second, this study sets the weighted sum of costs and makespan as the objective function and explores the trade-off between the two measures. No previous studies consider the costs and makespan at the same time. A mathematical formulation is developed and a tailored heuristic algorithm is proposed to solve large-scale problems. To observe the proposed model in depth and verify the performance of the heuristic algorithm, numerous computational experiments are conducted for randomly generated instances. Sensitivity analyses are performed to derive managerial implications by manipulating key factors that may affect the performance of the model.", "keywords": [ "Mile", "Last mile (transportation)", "Robot", "Aeronautics", "Computer science", "Mobile robot", "Engineering", "Artificial intelligence", "Geography", "Geodesy" ], "cited_by_openalex": 0, "cited_by_scopus": "3", "eid": "2-s2.0-105013553480", "pii": null, "open_access_url": "https://doi.org/10.1080/23302674.2025.2544714", "sources": [ { "db": "openalex", "stream": "UAV", "query_id": "UAV-1" }, { "db": "scopus", "stream": "UAV", "query_id": "UAV-1" } ], "streams": [ "UAV" ], "relevance_signals": [ "UAV" ], "auto_exclude_reason": null, "screening_status": "pending_human_screening", "screened_by": "auto-v1.0.0" }, { "id": "doi:10.5815/ijisa.2025.04.01", "doi": "10.5815/ijisa.2025.04.01", "title": "An Enhanced Adaptive B-spline Smoothing Approach for UAV Path Planning", "year": 2025, "authors": [ "Mykola Nikolaiev", "Mykhailo Novotarskyi" ], "first_author": "Mykola Nikolaiev", "venue": "International Journal of Intelligent Systems and Applications", "volume": "17", "pages": "1-13", "type": "article", "language": "en", "abstract": "This paper presents an Enhanced Adaptive B-Spline Smoothing approach for UAV path planning in complex three-dimensional environments. By leveraging the inherent local control and smoothness properties of cubic B-Splines, the proposed method integrates an adaptive knot selection mechanism—optimized via a genetic algorithm—with curvature-aware control point refinement to generate dynamically feasible and smooth flight paths. Simulation studies in a cluttered 3D airspace show that the proposed technique reduces path length and lowers maximum curvature compared to uniform and chord-length-based B-Spline strategies. Despite a moderate computational overhead, the results demonstrate smoother, more stable flight trajectories that adhere to aerodynamic constraints and ensure safe obstacle avoidance. This approach is particularly valuable for near-real-time missions, where flight stability, rapid re-planning, and energy efficiency are paramount. Results emphasize the potential of the proposed method for improving UAV navigation in various applications—such as urban logistics, infrastructure inspection, and search-and-rescue—by providing better maneuverability, reduced energy consumption, and increased operational safety to the UAV agents.", "keywords": [ "Computer science", "Smoothing", "Motion planning", "Obstacle avoidance", "Smoothness", "Mathematical optimization", "Path (computing)", "Spline (mechanical)", "Curvature", "Energy consumption", "Control theory (sociology)", "Real-time computing" ], "cited_by_openalex": 1, "cited_by_scopus": "3", "eid": "2-s2.0-105013144659", "pii": null, "open_access_url": "https://doi.org/10.5815/ijisa.2025.04.01", "sources": [ { "db": "openalex", "stream": "UAV", "query_id": "UAV-1" }, { "db": "scopus", "stream": "UAV", "query_id": "UAV-1" } ], "streams": [ "UAV" ], "relevance_signals": [ "UAV" ], "auto_exclude_reason": null, "screening_status": "pending_human_screening", "screened_by": "auto-v1.0.0" }, { "id": "doi:10.1109/tsc.2025.3592374", "doi": "10.1109/tsc.2025.3592374", "title": "Wind-Aware Service Provisioning Strategy for Multi-Package Drone Delivery", "year": 2025, "authors": [ "Xu Jia", "Hao nan Liu", "Xiao Liu", "Azadeh Ghari Neiat", "Xuejun Li", "Yun Jin Yang" ], "first_author": "Xu Jia", "venue": "IEEE Transactions on Services Computing", "volume": "18", "pages": "3348-3361", "type": "article", "language": "en", "abstract": "In recent years, drone delivery has drawn significant attention for its promising potential in solving the last-mile delivery problem. As a novel service paradigm, Drone-as-a-Service (DaaS) is emerging as an effective way to address service provisioning problems within complex delivery networks. However, existing DaaS composition frameworks often fail to consider the sharing of delivery services and are not applicable to multi-package drone delivery tasks. Meanwhile, as one of the most critical real-world environmental factors for drones, the impact of dynamic wind conditions is not adequately considered by existing studies. This may lead to Quality of Service (QoS) degradation of delivery services. To address the above issues, in this paper, we propose a wind-aware service provisioning strategy for multi-package drone delivery. Given the advantages of Edge Computing (EC) in handling such dynamic factors due to its low latency and high reliability, we first establish a spatio-temporal DaaS model based on service sharing according to the edge-based drone delivery system. Then, we propose a novel wind-aware drone delivery service provisioning strategy for multi-package delivery to minimize energy consumption of drones. The proposed strategy consists of two phases: service sharing and service composition. In the service sharing phase, the service sharing plan is generated by an improved genetic algorithm. In the service composition phase, the edge server dynamically generates the service composition plan through our proposed policy iteration based DaaS composition method. Experimental results using real delivery network and wind data demonstrate that our strategy is able to reduce delivery energy consumption of drone by about 10.1%.", "keywords": [ "Computer science", "Drone", "Provisioning", "Service (business)", "Computer network" ], "cited_by_openalex": 0, "cited_by_scopus": "3", "eid": "2-s2.0-105012147505", "pii": null, "open_access_url": "https://doi.org/10.1109/tsc.2025.3592374", "sources": [ { "db": "openalex", "stream": "UAV", "query_id": "UAV-1" }, { "db": "scopus", "stream": "UAV", "query_id": "UAV-1" } ], "streams": [ "UAV" ], "relevance_signals": [ "UAV" ], "auto_exclude_reason": null, "screening_status": "pending_human_screening", "screened_by": "auto-v1.0.0" }, { "id": "doi:10.7753/ijcatr1311.1011", "doi": "10.7753/ijcatr1311.1011", "title": "Designing Inclusive Access and Distribution Models: Global Best Practices for Reaching Underserved Populations", "year": 2025, "authors": [], "first_author": null, "venue": "International Journal of Computer Applications Technology and Research", "volume": null, "pages": null, "type": "article", "language": "en", "abstract": "Ensuring equitable access to essential services remains a fundamental challenge across global development sectors, particularly when targeting underserved populations in low-and middle-income countries (LMICs).Despite progress in expanding coverage, many access and distribution models remain fragmented, urban-centric, or inadequately tailored to marginalized communities such as remote rural dwellers, informal settlement residents, and nomadic groups.This paper presents a global synthesis of best practices in designing inclusive access and distribution frameworks that transcend geographic, socioeconomic, cultural, and infrastructural barriers.Drawing from documented experiences in healthcare, education, nutrition, and social protection, the paper outlines foundational principles of inclusive design namely, adaptability, participatory planning, contextual sensitivity, and data-driven targeting.It then categorizes successful interventions into three archetypes: mobile service delivery platforms (e.g., mobile clinics, pop-up education centers), hybrid public-private delivery systems (e.g., last-mile pharmaceutical logistics using drones or informal networks), and community-embedded access points (e.g., leveraging local cooperatives or religious institutions for program delivery).Through comparative analysis of case studies from India, Kenya, Brazil, and Papua New Guinea, we demonstrate how these approaches overcome conventional bottlenecks, such as poor road connectivity, distrust of formal institutions, and lack of real-time monitoring.Special focus is given to innovations in participatory design, including co-creation workshops and human-centered mapping, which amplify the voices of end-users and ensure sustained community ownership.Ultimately, the study argues for a paradigm shift from one-size-fits-all models to scalable, modular systems that embed flexibility, social inclusion, and contextual nuance.These inclusive models are essential not only for expanding access but also for advancing human rights and building resilient social systems in the Global South.", "keywords": [ "Computer science", "Distribution (mathematics)", "Universal design", "World Wide Web", "Mathematics" ], "cited_by_openalex": 3, "cited_by_scopus": 0, "eid": null, "pii": null, "open_access_url": "https://doi.org/10.7753/ijcatr1311.1011", "sources": [ { "db": "openalex", "stream": "UAV", "query_id": "UAV-1" } ], "streams": [ "UAV" ], "relevance_signals": [ "UAV" ], "auto_exclude_reason": null, "screening_status": "pending_human_screening", "screened_by": "auto-v1.0.0" }, { "id": "doi:10.3389/fpls.2025.1736707", "doi": "10.3389/fpls.2025.1736707", "title": "Integrated biotechnological and artificial intelligence innovations for plant improvement", "year": 2025, "authors": [ "Haibo Wu", "Man Luo", "Yubin Liu", "Jinghao Yang", "Yunpeng Cao" ], "first_author": "Haibo Wu", "venue": "Frontiers in Plant Science", "volume": null, "pages": null, "type": "article", "language": "en", "abstract": "Facing climate change and a growing population, Artificial Intelligence (AI) is leading a revolution in plant breeding, offering unprecedented opportunities to secure our future food supply. The global food system faces dual challenges: a rising population projected to reach 10 billion by 2050 is increasing demand for food, feed, and fiber (Van Dijk et al., 2021), while climate change simultaneously erodes limited arable land and threatens food system stability through extreme weather, soil salinization, and evolving pests and diseases (Hasegawa et al., 2021;Singh et al., 2023). Accelerating plant breeding to develop higher-yielding, better-quality, and more resilient crop varieties is a strategic imperative for global food security and sustainable development. Over the past century, plant breeding has progressed through several technologydriven leaps that have greatly increased agricultural productivity. These advances include early 20th-century hybrid breeding that leveraged heterosis in maize (Crow, 1998), the semi-dwarf varieties of the 1960s \"Green Revolution\" (Pingali, 2012), and the subsequent genetic engineering of insect-resistant and herbicide-tolerant crops (Lu et al., 2012;Li et al., 2025). However, these once-revolutionary methods are proving too slow for today's complex challenges. Traditional breeding is inefficient for improving multi-gene traits like yield and stress resistance, and even with accelerated techniques like marker-assisted selection, bringing a superior gene from discovery to the field can take over a decade.To overcome the bottlenecks of speed and accuracy in plant breeding, the integration of modern biotechnology and AI is driving a technological revolution to reshape the entire process in response to rapid environmental changes. Transcending the limitations of natural variation and random mutagenesis, genome editing technologies like CRISPR-Cas provide the surgical precision to rewrite the genome, enabling the rapid \"de novo domestication\" of wild plants and vastly expanding the available genetic pool (Li et al., 2018).Simultaneously, AI, particularly deep learning, is deciphering life's complex code. It can mine massive multiomics data for \"elite alleles,\" predict protein structures with models like AlphaFold (Abramson et al., 2024), and even design novel functional proteins (Kortemme, 2024). This is transforming plant science from a discipline of observation and experimentation into a precise science guided by prediction and design.Overall, by combining AI's predictive design with biotechnology's precise implementation, a \"Design-Build-Test-Learn\" (DBTL) closed-loop accelerator is formed. In this cycle, AI models analyze vast genetic, phenotypic, and environmental data to propose optimal designs. Biotechnology tools like gene editing then build these designs into organisms. High-throughput phenotyping with drones and sensors rapidly tests the results, feeding new data back to the AI for continuous learning and optimization. This self-improving process promises to shorten breeding cycles from years to months and enable the improvement of previously unattainable complex traits. This article will highlight how AI, in synergy with gene editing and highthroughput phenotyping, is creating a 'DBTL' cycle that accelerates breeding cycles and enables the improvement of complex traits, while also exploring the associated challenges and opportunities.Advances in sequencing technology have generated unprecedented amounts of multi-omics data, spanning genomics, transcriptomics, and proteomics. For example, researchers have sequenced the genomes of over ten species and accumulated vast transcriptome data from diverse tissues and developmental stages in the Rosaceae family (Cao et al., 2024;Cao et al., 2025;Jiang et al., 2025). However, the real challenge lies in identifying the key genes and genetic variations related to target traits from high-dimensional and complex data, since data itself is not knowledge. AI offers a transformative solution for complex genomic analysis.Recent studies demonstrate that advanced AI models, particularly those employing deep learning, can efficiently integrate large-scale multi-omics data to achieve outcomes that surpass the capabilities of traditional bioinformatics, such as predicting gene function, identifying crucial regulatory elements in noncoding regions, and deciphering intricate gene regulatory networks (Li et al., 2025). For example, Wu et al. developed the AutoGP AI-powered breeding platform by integrating multi-omics data from maize (genomics, transcriptomics, and metabolomics) to guide the selection of superior hybrid varieties and enhance breeding efficiency (Wu et al., 2025). AI identifies subtle epistatic genetic combinations overlooked by traditional breeding, driving the shift from marker-assisted selection to predictive breeding. AI empowers us to simulate and predict the phenotypic performance of new plant varieties in specific environments within a computer before they are even created. This offers a significant advantage in plant breeding, drastically shortening breeding cycles and improving success rates (Li et al., 2025). However, a clear weakness lies in the fact that the performance of AI models heavily relies on large-scale, high-quality, and precisely annotated training datasets. For many orphan crops or traits that are not well-studied, the scarcity of effective data is a major bottleneck limiting the application of AI (Li et al., 2025).The advent of CRISPR-Cas technology has enabled precise, \"surgical scalpel\" level modifications to plant genomes (Kim et al., 2025;Li et al., 2025;Ruffolo et al., 2025). Now, AI is equipping this \"scalpel\" with a smart navigation system. From designing efficient guide RNAs (gRNAs) with low off-target rates to predicting potential genome-wide off-target effects of gene editing, AI tools are significantly improving the efficiency and safety of gene editing (Ruffolo et al., 20", "keywords": [ "Green Revolution", "Food security", "Arable land", "Agriculture", "World population", "Population", "Sustainable agriculture", "Plant breeding", "Sustainability", "Climate change" ], "cited_by_openalex": 3, "cited_by_scopus": 0, "eid": null, "pii": null, "open_access_url": "https://public-pages-files-2025.frontiersin.org/journals/plant-science/articles/10.3389/fpls.2025.1736707/pdf", "sources": [ { "db": "openalex", "stream": "UAV", "query_id": "UAV-1" } ], "streams": [ "UAV" ], "relevance_signals": [ "UAV_NO_CTX" ], "auto_exclude_reason": "EC-4-topic", "screening_status": "auto_excluded", "screened_by": "auto-v1.0.0" }, { "id": "doi:10.1016/j.ejor.2025.09.021", "doi": "10.1016/j.ejor.2025.09.021", "title": "Vehicle routing problem with drones and variable service times for agricultural virus monitoring", "year": 2025, "authors": [ "Yuxin Li", "Yuxin Li", "Yu Zhang", "Yanfeng Li", "Yanfeng Li", "Xingdong Zhu" ], "first_author": "Yuxin Li", "venue": "European Journal of Operational Research", "volume": "331", "pages": "520-533", "type": "article", "language": "en", "abstract": null, "keywords": [ "Profit (economics)", "Drone", "Variable (mathematics)", "Truck", "Vehicle routing problem", "Scheduling (production processes)", "Heuristic", "Variable neighborhood search" ], "cited_by_openalex": 4, "cited_by_scopus": "3", "eid": "2-s2.0-105017995637", "pii": "S0377221725007581", "open_access_url": "https://doi.org/10.1016/j.ejor.2025.09.021", "sources": [ { "db": "openalex", "stream": "UAV", "query_id": "UAV-2" }, { "db": "scopus", "stream": "UAV", "query_id": "UAV-2" } ], "streams": [ "UAV" ], "relevance_signals": [ "UAV_NO_CTX", "TRUCK_NO_CTX" ], "auto_exclude_reason": "EC-4-topic", "screening_status": "auto_excluded", "screened_by": "auto-v1.0.0" }, { "id": "doi:10.3934/aci.2025020", "doi": "10.3934/aci.2025020", "title": "Vehicle routing problem with trucks and drones collaboration: a structured literature review", "year": 2025, "authors": [ "Xiaoteng Han", "Jun Shen" ], "first_author": "Xiaoteng Han", "venue": "Applied Computing and Intelligence", "volume": null, "pages": null, "type": "article", "language": null, "abstract": "Coordinated truck-drone delivery has emerged as an important extension of the vehicle routing problem (VRP), offering new opportunities to improve logistics efficiency, accessibility, and sustainability. In this review, we synthesize the literature on truck-drone routing by examining three interrelated themes: Vehicle routing and synchronization models, stochastic and dynamic operational constraints, and payload-energy management. Early studies primarily formulate truck-drone delivery as variants of heterogeneous or two-echelon VRP using mixed-integer linear programming (MILP) to capture coupled routing decisions, drone endurance limits, and launch-retrieval feasibility, often supplemented by heuristic or metaheuristic strategies to address computational scalability. More recent research extends these formulations to stochastic and dynamic VRP settings by incorporating uncertain customer availability, time windows, vehicle delays, and weather disruptions, reflecting a shift toward adaptive routing under incomplete information. Parallel work on payload configuration and energy management investigates modular loading and battery-swapping mechanisms, demonstrating how load heterogeneity and energy constraints fundamentally reshape feasible routing structures. Extensions to multimodal VRP variants, including electric vehicle-drone systems and van-robot hybrids, further broaden applicability in dense and constrained urban environments. Despite these advances, most models remain grounded in static or weakly stochastic assumptions, with limited support for real-time updates or predictive decision-making. In this review, we identified the integration of data-driven prediction and learning-based optimization within dynamic VRP frameworks as a critical direction for advancing truck-drone delivery toward large-scale operational deployment.", "keywords": [ "Vehicle routing problem", "Routing (electronic design automation)", "Metaheuristic", "Payload (computing)", "Heuristic", "Modular design", "Drone", "Synchronization (alternating current)" ], "cited_by_openalex": 3, "cited_by_scopus": 0, "eid": null, "pii": null, "open_access_url": "http://www.aimspress.com/aimspress-data/aci/2025/2/PDF/aci-05-02-020.pdf", "sources": [ { "db": "openalex", "stream": "UAV", "query_id": "UAV-2" } ], "streams": [ "UAV" ], "relevance_signals": [ "UAV_NO_CTX", "TRUCK_NO_CTX" ], "auto_exclude_reason": "EC-4-topic", "screening_status": "auto_excluded", "screened_by": "auto-v1.0.0" }, { "id": "doi:10.26599/tst.2024.9010219", "doi": "10.26599/tst.2024.9010219", "title": "DQN-ALNS for UAV Reconnaissance Routing Problem with Target Priority Consideration", "year": 2025, "authors": [ "Lingjie Zhou", "Zhihao Luo", "Jianmai Shi" ], "first_author": "Lingjie Zhou", "venue": "Tsinghua Science & Technology", "volume": "31", "pages": "274-290", "type": "article", "language": "en", "abstract": "In recent years, UAVs have been extensively employed for reconnaissance missions. Our focus is prioritizing reconnaissance of high-priority targets while minimizing the flight duration when UAV power is constrained. We introduce a framework called DQN-ALNS, which integrates Deep Q Network (DQN) into the Adaptive Large Neighborhood Search (ALNS) metaheuristic algorithm to optimize the process through the current solution’s search state. Specifically, the agent is utilized to select the destroy-repair operators to update a new solution, thereby iteratively optimizing the UAV reconnaissance routes. Experimental results reveal that DQN-ALNS achieves superior solutions and faster convergence than other comparison algorithms. The algorithm leverages the exploratory potential of the current solution and demonstrates robust stability. The final sensitivity analysis showcases that reconnaissance missions with high priority are better accomplished when the UAV power is moderate and the target priority is concentrated at smaller values.", "keywords": [ "Computer science", "Routing (electronic design automation)", "Vehicle routing problem", "Operations research", "Computer network", "Engineering" ], "cited_by_openalex": 2, "cited_by_scopus": "3", "eid": "2-s2.0-105046475493", "pii": null, "open_access_url": "https://doi.org/10.26599/tst.2024.9010219", "sources": [ { "db": "openalex", "stream": "UAV", "query_id": "UAV-2" }, { "db": "scopus", "stream": "UAV", "query_id": "UAV-2" } ], "streams": [ "UAV" ], "relevance_signals": [ "UAV_NO_CTX" ], "auto_exclude_reason": "EC-4-topic", "screening_status": "auto_excluded", "screened_by": "auto-v1.0.0" }, { "id": "doi:10.1109/sustech63138.2025.11025538", "doi": "10.1109/sustech63138.2025.11025538", "title": "Monitoring agricultural fields through collaboration between autonomous robots and drones", "year": 2025, "authors": [ "Alessia Ciacco", "Giovanni Giallombardo", "Francesca Guerriero", "Francesco Paolo Saccomanno" ], "first_author": "Alessia Ciacco", "venue": "IEEE Conference on Technologies for Sustainability Sustech", "volume": null, "pages": null, "type": "conference-paper", "language": "en", "abstract": "In recent years, precision agriculture has emerged as one of the most promising answers to global challenges related to food security, production efficiency and environmental sustainability. This innovative approach uses advanced technologies to optimize the use of agricultural resources, reduce waste and improve crop yields. Among these technologies, autonomous vehicles, both robots and drones, play a key role in revolutionizing basic operations such as monitoring, data collection, irrigation and fertilizer application. In particular, collaboration between robots and drones for monitoring agricultural fields is a promising solution. This paper proposes a Mixed Integer Linear Programming model to address three key issues in agriculture: soil monitoring, fertilization and plant irrigation. Monitoring of agricultural fields is conducted through a network of distributed sensors, with data collected by autonomous robot and drone. Furthermore, the robot is responsible for fertilization activities, while the drone performs irrigation. The objective of the model is to minimize the total cost, which includes the cost associated with vehicle routing and the cost of sensor activation, considering limitations related to battery life and sensor override management.", "keywords": [ "Drone", "Robot", "Agriculture", "Computer science", "Mobile robot", "Human–computer interaction", "Engineering", "Aeronautics", "Artificial intelligence", "Ecology", "Biology" ], "cited_by_openalex": 2, "cited_by_scopus": "3", "eid": "2-s2.0-105013069413", "pii": null, "open_access_url": "https://doi.org/10.1109/sustech63138.2025.11025538", "sources": [ { "db": "openalex", "stream": "UAV", "query_id": "UAV-2" }, { "db": "scopus", "stream": "UAV", "query_id": "UAV-2" } ], "streams": [ "UAV" ], "relevance_signals": [ "UAV_NO_CTX" ], "auto_exclude_reason": "EC-4-topic", "screening_status": "auto_excluded", "screened_by": "auto-v1.0.0" }, { "id": "doi:10.1109/ojits.2025.3650067", "doi": "10.1109/ojits.2025.3650067", "title": "UAVs Missions for Sea Emergencies", "year": 2025, "authors": [ "Sajjad Ghobadi", "Leonardo Mostarda", "Alfredo Navarra", "Francesco Piselli" ], "first_author": "Sajjad Ghobadi", "venue": "IEEE Open Journal of Intelligent Transportation Systems", "volume": "7", "pages": "200-217", "type": "article", "language": null, "abstract": "This paper presents the First Boat Rescue (FBR) problem, a new challenging variant of the well-known Electric Vehicle Routing problem. FBR stems from practical rescue operations where a rescue lifeboat and its medical team provide assistance to a boat close to the coast. Quite often the boat calls for unnecessary assistance which leads to a waste of resources. As an alternative and cheaper approach, this paper proposes the use of Unmanned Aerial Vehicles (UAVs) equipped with basic medical tools. More precisely, a lifeboat departure can be avoided when the UAV reaches the boat and remotely connects to the medical team which, by using the UAV’s medical tools, deems the assistance unneeded. UAVs are battery powered which may require recharging activities to accomplish the rescue operations. A buoy recharging station that uses the sea movement and provides a charging pad for a UAV can be used. When buoys are suitably disposed in the rescuing area, a UAV can assist multiple boats in need of emergency without wasting rescue lifeboat fuel and unnecessarily occupying the time of the medical team. This paper studies FBR in two scenarios with partial and full battery recharging policies and presents the Integer Linear Programming (ILP) formulations of the problems. For FBR in the partial recharging scenario, the paper proposes two heuristics. The paper also proves that there is an algorithm that approximates FBR with full recharging policy. The paper concludes by describing various simulations and evaluates the proposed algorithms on random and ad-hoc instances.", "keywords": [ "Routing (electronic design automation)", "Battery (electricity)", "Global Positioning System", "Search and rescue", "Linear programming", "Event (particle physics)" ], "cited_by_openalex": 1, "cited_by_scopus": "3", "eid": "2-s2.0-105027935146", "pii": null, "open_access_url": "https://doi.org/10.1109/ojits.2025.3650067", "sources": [ { "db": "openalex", "stream": "UAV", "query_id": "UAV-2" }, { "db": "scopus", "stream": "UAV", "query_id": "UAV-2" } ], "streams": [ "UAV" ], "relevance_signals": [ "UAV_NO_CTX" ], "auto_exclude_reason": "EC-4-topic", "screening_status": "auto_excluded", "screened_by": "auto-v1.0.0" }, { "id": "doi:10.1109/cec65147.2025.11042983", "doi": "10.1109/cec65147.2025.11042983", "title": "An Enhanced Multi-Objective Evolutionary Algorithm for Adaptive-Formation Multi-UAV Task Allocation with Load-Dependent Constraints", "year": 2025, "authors": [ "Hu Tuo", "Xiaoying Yang", "Fuhua Jia", "Songcen Xu", "Kai Hua Yang", "Tianxiang Cui" ], "first_author": "Hu Tuo", "venue": "2025 IEEE Congress on Evolutionary Computation CEC 2025", "volume": null, "pages": null, "type": "conference-paper", "language": "en", "abstract": "As the demand for logistics continues to surge, traditional ground delivery methods fall short, prompting the advent of low-altitude unmanned aerial vehicle (UAV) delivery as a revolutionary solution for rapid and adaptable logistics services. This paper introduces the Adaptive-Formation Multi-UAV Task Allocation with Load-Dependent Constraints (AF-MUTALC), an approach that transcends the Capacitated Vehicle Routing Problem (CVRP) framework with the distinctive operational constraints of UAVs, addressing the burgeoning need for efficient low-altitude delivery systems. Our proposed model integrates the impact of payload on UAV performance, encompassing constraints such as limited power, endurance, payload capacity, and the intricate interplay between flight dynamics and energy consumption. Additionally, the model contemplates the inherent uncertainties in transit times during actual UAV operations. To effectively manage this multi-objective optimization challenge, we employ an Enhanced Multi-Objective Evolutionary Algorithm (MOEA) that combines the strengths of Non-dominated Sorting Genetic Algorithm II (NSGA-II) with a refined local search strategy. This approach aims to optimize resource utilization by minimizing the UAV fleet size and reducing the maximum flight time of a single UAV, thus ensuring an optimal balance between operational efficiency and resource allocation. Our algorithm has undergone rigorous validation through simulations, showcasing its ability to surpass conventional methodologies in delivering high-quality solutions. Furthermore, corroborated by empirical trials in real-world settings, we attest to the feasibility of the algorithm for real-life implementation.", "keywords": [ "Computer science", "Task (project management)", "Evolutionary algorithm", "Mathematical optimization", "Evolutionary computation", "Algorithm", "Artificial intelligence", "Mathematics", "Engineering" ], "cited_by_openalex": 2, "cited_by_scopus": "3", "eid": "2-s2.0-105010490874", "pii": null, "open_access_url": "https://doi.org/10.1109/cec65147.2025.11042983", "sources": [ { "db": "openalex", "stream": "UAV", "query_id": "UAV-2" }, { "db": "scopus", "stream": "UAV", "query_id": "UAV-2" } ], "streams": [ "UAV" ], "relevance_signals": [ "UAV_NO_CTX" ], "auto_exclude_reason": "EC-4-topic", "screening_status": "auto_excluded", "screened_by": "auto-v1.0.0" }, { "id": "doi:10.1016/j.adhoc.2025.103974", "doi": "10.1016/j.adhoc.2025.103974", "title": "A multi-depot provisioned UAV swarm trajectory optimization scheme for collaborative data acquisition in a large-scale IoT environment", "year": 2025, "authors": [ "Saugata Roy", "Nabajyoti Mazumdar", "Rajendra Pamula" ], "first_author": "Saugata Roy", "venue": "Ad Hoc Networks", "volume": "178", "pages": null, "type": "article", "language": "en", "abstract": null, "keywords": [ "Scheme (mathematics)", "Trajectory", "Scale (ratio)", "Computer science", "Depot", "Swarm behaviour", "Provisioning", "Real-time computing", "Distributed computing", "Aerospace engineering", "Computer network", "Engineering" ], "cited_by_openalex": 1, "cited_by_scopus": "3", "eid": "2-s2.0-105010875471", "pii": "S1570870525002227", "open_access_url": "https://doi.org/10.1016/j.adhoc.2025.103974", "sources": [ { "db": "openalex", "stream": "UAV", "query_id": "UAV-2" }, { "db": "scopus", "stream": "UAV", "query_id": "UAV-2" } ], "streams": [ "UAV" ], "relevance_signals": [ "UAV_NO_CTX" ], "auto_exclude_reason": "EC-4-topic", "screening_status": "auto_excluded", "screened_by": "auto-v1.0.0" }, { "id": "doi:10.1007/s10922-025-09914-3", "doi": "10.1007/s10922-025-09914-3", "title": "A Novel Mathematical Model with Fairness Constraints for Uninterrupted Network Coverage in Disasters", "year": 2025, "authors": [ "Özge Şatır Akpunar", "Şener Akpınar" ], "first_author": "Özge Şatır Akpunar", "venue": "Journal of Network and Systems Management", "volume": "33", "pages": null, "type": "article", "language": "en", "abstract": "Abstract Drones can be used as base stations to support search and rescue operations due to damage to telecommunications infrastructure after a disaster. This involves identifying a number of hotspots over the disaster area where the drones should hover for a certain amount of time, and moving the drones between these points along the pre-determined routes. Allocating the drones to appropriate locations and finding optimal routes is an optimization problem, and solving this problem to optimality is crucial to ensure sustainable operations with limited resources. This paper addresses this optimization problem and presents the drone base station allocation and routing problem (DBSARP) under disaster conditions. The problem aims at separately optimizing two objectives: spatial coverage by maximizing the coverage areas and temporal coverage by maximizing the total hover time as well as considering fairness. A mathematical model is proposed to determine the locations and routes of the drone base stations (DBSs) and their lengths of stay at each location. Furthermore, a real-life implementation of the proposed model is realized based on the earthquake that happened in the Bayrakli district of Izmir, Türkiye in 2020. Finally, a set of sensitivity analyses is performed by varying key parameters of the problem, such as battery capacities and number of the DBSs.", "keywords": [ "Computer science", "Computer security", "Computer network", "Operations research" ], "cited_by_openalex": 4, "cited_by_scopus": "3", "eid": "2-s2.0-85218624499", "pii": null, "open_access_url": "https://doi.org/10.1007/s10922-025-09914-3", "sources": [ { "db": "openalex", "stream": "UAV", "query_id": "UAV-2" }, { "db": "scopus", "stream": "UAV", "query_id": "UAV-2" } ], "streams": [ "UAV" ], "relevance_signals": [ "UAV_NO_CTX" ], "auto_exclude_reason": "EC-4-topic", "screening_status": "auto_excluded", "screened_by": "auto-v1.0.0" }, { "id": "doi:10.1016/j.cie.2025.111005", "doi": "10.1016/j.cie.2025.111005", "title": "Electric vehicle charging on the go via unmanned aerial vehicle: Optimal charging policy", "year": 2025, "authors": [ "Byeongmok Kim", "Seokcheon Lee" ], "first_author": "Byeongmok Kim", "venue": "Computers & Industrial Engineering", "volume": "203", "pages": null, "type": "article", "language": "en", "abstract": null, "keywords": [ "Electric vehicle", "Automotive engineering", "Aeronautics", "Engineering", "Computer science", "Electrical engineering", "Physics", "Power (physics)" ], "cited_by_openalex": 4, "cited_by_scopus": "3", "eid": "2-s2.0-85219674251", "pii": "S0360835225001512", "open_access_url": "https://doi.org/10.1016/j.cie.2025.111005", "sources": [ { "db": "openalex", "stream": "UAV", "query_id": "UAV-2" }, { "db": "scopus", "stream": "UAV", "query_id": "UAV-2" } ], "streams": [ "UAV" ], "relevance_signals": [ "UAV_NO_CTX" ], "auto_exclude_reason": "EC-4-topic", "screening_status": "auto_excluded", "screened_by": "auto-v1.0.0" }, { "id": "doi:10.3390/systems13070607", "doi": "10.3390/systems13070607", "title": "UAM Vertiport Network Design Considering Connectivity", "year": 2025, "authors": [ "Wentao Zhang", "Taesung Hwang" ], "first_author": "Wentao Zhang", "venue": "Systems", "volume": "13", "pages": null, "type": "article", "language": "en", "abstract": "Urban Air Mobility (UAM) is envisioned to revolutionize urban transportation by improving traffic efficiency and mitigating surface-level congestion. One of the fundamental challenges in implementing UAM systems lies in the optimal siting of vertiports, which requires a delicate balance among infrastructure construction costs, passenger access costs to their assigned vertiports, and the operational connectivity of the resulting vertiport network. This study develops an integrated mathematical model for vertiport location decision, aiming to minimize total system cost while ensuring UAM network connectivity among the selected vertiport locations. To efficiently solve the problem and improve solution quality, a hybrid genetic algorithm is developed by incorporating a Minimum Spanning Tree (MST)-based connectivity enforcement mechanism, a fundamental concept in graph theory that connects all nodes in a given network with minimal total link cost, enhanced by a greedy initialization strategy. The effectiveness of the proposed algorithm is demonstrated through numerical experiments conducted on both synthetic datasets and the real-world transportation network of New York City. The results show that the proposed hybrid methodology not only yields high-quality solutions but also significantly reduces computational time, enabling faster convergence. Overall, this study provides practical insights for UAM infrastructure planning by emphasizing demand-oriented vertiport siting and inter-vertiport connectivity, thereby contributing to both theoretical development and large-scale implementation in complex urban environments.", "keywords": [ "Initialization", "Graph theory", "Network planning and design", "Greedy algorithm", "Graph", "Flow network", "Traffic congestion", "Tree (set theory)" ], "cited_by_openalex": 2, "cited_by_scopus": "3", "eid": "2-s2.0-105011708173", "pii": null, "open_access_url": "https://www.mdpi.com/2079-8954/13/7/607/pdf?version=1753092358", "sources": [ { "db": "openalex", "stream": "UAV", "query_id": "UAV-3" }, { "db": "scopus", "stream": "UAV", "query_id": "UAV-3" } ], "streams": [ "UAV" ], "relevance_signals": [ "UAV" ], "auto_exclude_reason": null, "screening_status": "pending_human_screening", "screened_by": "auto-v1.0.0" }, { "id": "doi:10.3390/app152010961", "doi": "10.3390/app152010961", "title": "Urban Air Mobility Vertiports: A Bibliometric Analysis of Applications, Challenges, and Emerging Directions", "year": 2025, "authors": [ "Ying Lu", "Weili Zeng", "Wenbin Wei", "Weiwei Wu", "Hao Jiang" ], "first_author": "Ying Lu", "venue": "Applied Sciences", "volume": "15", "pages": null, "type": "article", "language": "en", "abstract": "Vertiports, as the foundational ground infrastructure for Urban Air Mobility (UAM), have garnered increasing scholarly attention in recent years. To examine how the existing literature has reviewed and summarized vertiport-related knowledge, this study conducts a bibliometric analysis of publications (2000–2024) from four major databases, including Web of Science and Scopus, using VOSviewer and CiteSpace. By analyzing co-citation and keyword co-occurrence patterns, the results suggest that vertiport research frontiers are shifting toward facility location, network planning, airspace and scheduling management, scalable infrastructure, and integration with ground transport systems. Scholars and institutions in the United States, China, Europe, and South Korea have taken leading roles in advancing this field, though collaboration among research organizations still requires strengthening. Overall, the findings reveal future research pathways and provide support for the planning and integration of vertiport infrastructure in UAM operations.", "keywords": [ "Web of science", "Bibliometrics", "Urban sustainability", "Big data", "Air transport", "Ground transportation" ], "cited_by_openalex": 4, "cited_by_scopus": "3", "eid": "2-s2.0-105020237584", "pii": null, "open_access_url": "https://doi.org/10.3390/app152010961", "sources": [ { "db": "openalex", "stream": "UAV", "query_id": "UAV-3" }, { "db": "scopus", "stream": "UAV", "query_id": "UAV-3" } ], "streams": [ "UAV" ], "relevance_signals": [ "UAV_NO_CTX" ], "auto_exclude_reason": "EC-4-topic", "screening_status": "auto_excluded", "screened_by": "auto-v1.0.0" }, { "id": "doi:10.3390/infrastructures10090242", "doi": "10.3390/infrastructures10090242", "title": "Strategic Vertiport Placement for Airport Access: Utilizing Urban Air Mobility for Accelerated and Reliable Transportation", "year": 2025, "authors": [ "Vasileios Volakakis", "Hani S. Mahmassani" ], "first_author": "Vasileios Volakakis", "venue": "Infrastructures", "volume": "10", "pages": null, "type": "article", "language": "en", "abstract": "Airport-bound access and egress trips comprise a significant portion of total ground transportation trips, especially in regions served by large airports. Connecting urban areas with airports under minimal travel delays can be challenging, with traffic congestion along busy connecting corridors being a common phenomenon. Urban Air Mobility (UAM) is a new transportation mode envisioned to reduce travel times using specific aircraft, such as electric (and non-electric) Vertical or Short Take-off and Landing aircraft (e/VTOLs and STOLs, respectively). The operation of these aircraft requires take-off and landing infrastructure known as vertiports. A strategic infrastructure placement framework was introduced, utilizing and adapting the Capacitated Facility Location Problem (a-CFLP) and the Maximal Covering Location Problem (a-MCLP) with capacity constraints. An adapted capacitated k-means algorithm and a greedy heuristic were considered for the solution of the a-CFLP, while the a-MCLP was formulated as a mixed-integer linear programming problem. The proposed framework was applied in the Chicago Metropolitan Area, revealing that various trade-offs regarding coverage and accessibility, versus operational costs (number of facilities, facility capacity, and service radius), exist. The results showed that, depending on vertiport capacity and service radius capabilities, a range of 5 to 12 vertiports can sufficiently address the demand (above 95% demand coverage) and, with respect to accessibility, serve a moderate UAM demand scenario of 6124 daily requests, as identified for this region.", "keywords": [ "Metropolitan area", "TRIPS architecture", "Service (business)", "Range (aeronautics)", "Heuristic", "Traffic congestion", "Plan (archaeology)", "Linear programming", "Service level" ], "cited_by_openalex": 5, "cited_by_scopus": "3", "eid": "2-s2.0-105017424139", "pii": null, "open_access_url": "https://www.mdpi.com/2412-3811/10/9/242/pdf?version=1758015469", "sources": [ { "db": "openalex", "stream": "UAV", "query_id": "UAV-3" }, { "db": "scopus", "stream": "UAV", "query_id": "UAV-3" } ], "streams": [ "UAV" ], "relevance_signals": [ "UAV_NO_CTX" ], "auto_exclude_reason": "EC-4-topic", "screening_status": "auto_excluded", "screened_by": "auto-v1.0.0" }, { "id": "doi:10.1016/j.trpro.2025.04.079", "doi": "10.1016/j.trpro.2025.04.079", "title": "Optimal location of vertiports in urban areas: the case study of Bari (Italy)", "year": 2025, "authors": [ "Mario Marinelli", "Aleksandra Colovic", "Michele Ottomanelli" ], "first_author": "Mario Marinelli", "venue": "Transportation research procedia", "volume": "86", "pages": "630-637", "type": "article", "language": "en", "abstract": "New emerging mobility technologies are seen as an adequate solution in urban areas for reducing traffic congestion and emissions, as well as enhancing better connectivity and accessibility of significant zones in urban areas. For instance, recent advancements in Urban Air Mobility (UAM) have opened the possibility of improving transportation services, especially in zones that require higher accessibility or faster inter-city connections. In this context, the design and location of UAM ground infrastructures, namely vertiports, are perceived as one of the main aspects of this novel service. Thus, this work proposes a model based on the Maximum Coverage Location Problem (MCLP) for determining optimal locations for vertiports in urban areas for parcel delivery. The model aims at maximizing the demand coverage of each vertiport within a predefined service/distance range. As a case study, the urban area of the city of Bari was considered to evaluate the outcomes of the proposed model. Moreover, a sensitivity analysis has been carried out by constructing different scenarios associated to different demand attributes and number of vertiports. The obtained results highlight the importance of considering the main practical recommendations and aspects that influence vertiports’ location and potential UAM demand growth in Bari.", "keywords": [ "Geography", "Environmental planning", "Transport engineering", "Regional science", "Socioeconomics", "Engineering", "Sociology" ], "cited_by_openalex": 3, "cited_by_scopus": "3", "eid": "2-s2.0-105007056335", "pii": "S2352146525003266", "open_access_url": "https://doi.org/10.1016/j.trpro.2025.04.079", "sources": [ { "db": "openalex", "stream": "UAV", "query_id": "UAV-3" }, { "db": "scopus", "stream": "UAV", "query_id": "UAV-3" } ], "streams": [ "UAV" ], "relevance_signals": [ "UAV" ], "auto_exclude_reason": null, "screening_status": "pending_human_screening", "screened_by": "auto-v1.0.0" }, { "id": "doi:10.1016/j.jairtraman.2025.102962", "doi": "10.1016/j.jairtraman.2025.102962", "title": "Transit oriented development under the influence of urban air mobility: A public transit-based vertiport siting method", "year": 2025, "authors": [ "Renwei Liu", "Haishan Xia", "Lu Li", "Qi Li", "Sitong Liu" ], "first_author": "Renwei Liu", "venue": "Journal of Air Transport Management", "volume": "133", "pages": null, "type": "article", "language": "en", "abstract": null, "keywords": [ "Public transport", "Urban planning", "Urban spatial structure", "Flexibility (engineering)", "Leverage (statistics)", "Decentralization", "Weighting", "Service (business)", "Population" ], "cited_by_openalex": 3, "cited_by_scopus": "3", "eid": "2-s2.0-105026195564", "pii": "S096969972500225X", "open_access_url": "https://doi.org/10.1016/j.jairtraman.2025.102962", "sources": [ { "db": "openalex", "stream": "UAV", "query_id": "UAV-3" }, { "db": "scopus", "stream": "UAV", "query_id": "UAV-3" } ], "streams": [ "UAV" ], "relevance_signals": [ "UAV_NO_CTX" ], "auto_exclude_reason": "EC-4-topic", "screening_status": "auto_excluded", "screened_by": "auto-v1.0.0" }, { "id": "doi:10.1007/978-3-031-98304-7_65", "doi": "10.1007/978-3-031-98304-7_65", "title": "A Semi-desirable Hub Location Problem Formulation for Vertiports", "year": 2025, "authors": [ "Zahra Zare", "Mümtaz Karataş", "Levent Erişkin" ], "first_author": "Zahra Zare", "venue": "Lecture notes in networks and systems", "volume": "1531 LNNS", "pages": "588-595", "type": "conference-paper", "language": "en", "abstract": null, "keywords": [ "Computer science", "Mathematical optimization", "Mathematics" ], "cited_by_openalex": 1, "cited_by_scopus": "3", "eid": "2-s2.0-105013079605", "pii": null, "open_access_url": "https://doi.org/10.1007/978-3-031-98304-7_65", "sources": [ { "db": "openalex", "stream": "UAV", "query_id": "UAV-3" }, { "db": "scopus", "stream": "UAV", "query_id": "UAV-3" } ], "streams": [ "UAV" ], "relevance_signals": [ "UAV_NO_CTX" ], "auto_exclude_reason": "EC-4-topic", "screening_status": "auto_excluded", "screened_by": "auto-v1.0.0" }, { "id": "doi:10.1109/dasc66011.2025.11257355", "doi": "10.1109/dasc66011.2025.11257355", "title": "Bio-Inspired Algorithm for Designing an Adaptive Cyclic Corridor for Uas Traffic Management", "year": 2025, "authors": [ "Matthieu Verdoucq", "Rodolphe Fremond", "Zeynep Bilgin", "Murat Bronz" ], "first_author": "Matthieu Verdoucq", "venue": "AIAA IEEE Digital Avionics Systems Conference Proceedings", "volume": null, "pages": null, "type": "conference-paper", "language": "en", "abstract": "This paper presents a novel bio-inspired method for designing cyclic airspace corridors to support highthroughput, bidirectional flows of Unmanned Aircraft Systems at Very Low Level. We adapt the Slime-Mold Algorithm to generate corridors by modeling vertiports as attractors, nofly zones as repulsors, and using a discretized pheromone field to guide agent behavior. Agents operate in three roles: explorers, exploiters, and trail-thickeners, and interact solely via pheromone diffusion and decay. A food timer mechanism regulates exploration based on the average spacing between vertiports. From the resulting pheromone distribution, a Catmull-Rom spline is fitted to extract a smooth, continuous corridor. The design is evaluated using five criteria: vertiport proximity, no-fly zone avoidance, self-intersection, curvature smoothness, and total length. We evaluate our approach on three large-scale urban scenarios with up to 15 vertiports and$\\mathbf{1 0}$no-fly zones. Results show convergence within 200 iterations, rapid adaptation to topological changes, and the potential to support more complex corridor structures giving promises to the method's suitability for real-time, dynamic airspace design in UAS traffic management.", "keywords": [ "Timer", "Convergence (economics)", "Discretization", "Field (mathematics)", "Curvature", "Spline (mechanical)", "Vehicle dynamics" ], "cited_by_openalex": 2, "cited_by_scopus": "3", "eid": "2-s2.0-105029900888", "pii": null, "open_access_url": "https://enac.hal.science/hal-05525389/document", "sources": [ { "db": "openalex", "stream": "UAV", "query_id": "UAV-3" }, { "db": "scopus", "stream": "UAV", "query_id": "UAV-3" } ], "streams": [ "UAV" ], "relevance_signals": [ "UAV_NO_CTX" ], "auto_exclude_reason": "EC-4-topic", "screening_status": "auto_excluded", "screened_by": "auto-v1.0.0" }, { "id": "doi:10.2514/6.2025-0582", "doi": "10.2514/6.2025-0582", "title": "Managing Congestion in Advanced Air Mobility Operations Using a Bi-Level Optimization Approach", "year": 2025, "authors": [ "Haochen Wu", "Max Z. Li", "Jeffrey M. Henderson", "Erin M. Bongo", "Lesley A. Weitz" ], "first_author": "Haochen Wu", "venue": "AIAA Science and Technology Forum and Exposition AIAA Scitech Forum 2025", "volume": null, "pages": null, "type": "conference-paper", "language": "en", "abstract": "The Federal Aviation Administration (FAA) is exploring integration of Advanced Air Mobility (AAM) operations – comprising Urban Air Mobility (UAM) and Uncrewed Aircraft System (UAS) operations – into the National Airspace System. Extensible Traffic Management (xTM) concepts will leverage industry-provided services for some traffic management services to allow AAM operations to grow without adverse effects on legacy air traffic operations and services. In far-term operations, multiple fleet operators and industry-provided services will use a common set of constrained resources like airspace and vertiports. This paper will evaluate the use of a bi-level, decentralized optimization approach to manage congestion and reduce delays for complex AAM operations with multiple fleet operators and service providers. Numerical results are shown for a Los Angeles-based vertiport network.", "keywords": [ "Computer science", "Computer network" ], "cited_by_openalex": 2, "cited_by_scopus": "3", "eid": "2-s2.0-105001369129", "pii": null, "open_access_url": "https://doi.org/10.2514/6.2025-0582", "sources": [ { "db": "openalex", "stream": "UAV", "query_id": "UAV-3" }, { "db": "scopus", "stream": "UAV", "query_id": "UAV-3" } ], "streams": [ "UAV" ], "relevance_signals": [ "UAV_NO_CTX" ], "auto_exclude_reason": "EC-4-topic", "screening_status": "auto_excluded", "screened_by": "auto-v1.0.0" }, { "id": "doi:10.2514/6.2025-3487", "doi": "10.2514/6.2025-3487", "title": "A Spectral Proper Orthogonal Decomposition Analysis of Turbulent Flow Around a High-Rise Building", "year": 2025, "authors": [ "Alireza Maleki", "Sheryl M. Grace", "Reda R. Mankbadi", "Vladimir V. Golubev" ], "first_author": "Alireza Maleki", "venue": "AIAA Aviation Forum and Ascend 2025", "volume": null, "pages": null, "type": "conference-paper", "language": "en", "abstract": "This study presents a high-fidelity Large Eddy Simulation (LES) investigation of turbulent flow over a high-aspect-ratio (AR = 7) wall-mounted rectangular cylinder, representative of a vertiport structure, under varying inflow turbulence conditions. A volumetric momentum source term is coupled with a synthetic turbulence generation method to emulate urban atmospheric disturbances with turbulence intensities of 5% and 10%. The effectiveness of this hybrid turbulence modeling approach is validated through power spectral density analysis and comparison with the target von Kármán spectra. Spectral Proper Orthogonal Decomposition (SPOD) is employed to extract coherent structures in the wake, revealing dominant modes at Strouhal numbers St ≈ 0.1, 0.2, and 1.8. A Kelvin–Helmholtz-like shear layer instability near the top of the vertiport is identified as the primary contributor to energetic fluctuations at St ≈ 1.8. The introduction of turbulence disrupts the periodicity and coherence of this structure, resulting in a noticeable reduction in SPOD energy at the dominant flapping frequency, although its spectral signature persists. Pressure coefficient visualizations further indicate that this structure exhibits a characteristic streamwise length of approximately 20% of the vertiport width and extends up to 40% of the width above the platform. For a typical vertiport size of 10 m, this corresponds to a 2 m structure reaching 4 m in height—dimensions that could pose significant aerodynamic and control challenges for eVTOL vehicles with rotor diameters on the order of 1 m. The findings highlight the critical importance of incorporating realistic inflow turbulence in the assessment of coherent aerodynamic structures and their potential impact on Urban Air Mobility (UAM) operations.", "keywords": [ "Turbulence", "Proper orthogonal decomposition", "Decomposition", "Flow (mathematics)", "Mechanics", "Computer science", "Physics", "Chemistry" ], "cited_by_openalex": 1, "cited_by_scopus": "3", "eid": "2-s2.0-105018044081", "pii": null, "open_access_url": "https://doi.org/10.2514/6.2025-3487", "sources": [ { "db": "openalex", "stream": "UAV", "query_id": "UAV-3" }, { "db": "scopus", "stream": "UAV", "query_id": "UAV-3" } ], "streams": [ "UAV" ], "relevance_signals": [ "UAV_NO_CTX" ], "auto_exclude_reason": "EC-4-topic", "screening_status": "auto_excluded", "screened_by": "auto-v1.0.0" }, { "id": "doi:10.2196/80320", "doi": "10.2196/80320", "title": "Family Caregivers’ Perspectives on the Potential of Drone-Based Medication Delivery in Palliative Home Care: Qualitative Focus Group Study", "year": 2025, "authors": [ "Franziska Fink", "Sabrina Claudia Otto", "Martin Grünthal", "Anne Lehmann", "Patrick Jahn" ], "first_author": "Franziska Fink", "venue": "JMIR Human Factors", "volume": "12", "pages": null, "type": "article", "language": "en", "abstract": "Background: Palliative care supports individuals with incurable, life-threatening illnesses, focusing on symptom management and quality of life. Access to timely care, including essential medications, is often limited, particularly in rural areas, leading to gaps in home-based care. Digital health technologies, including drone-based delivery systems, have the potential to address such logistical challenges. For these technologies to be effective, they must be adapted to the specific needs of patients and caregivers, which often differ from general health care contexts, especially in remote areas. Objective: This study aimed to identify user needs and requirements for a drone-based medication delivery system designed to supplement traditional courier services in palliative care. The study also sought to explore practical considerations for integrating drones into home-based care workflows, with the goal of informing both technical design and clinical applicability. Methods: We conducted 1 focus group (FG) and 4 semistructured individual interviews with family caregivers involved in home-based palliative care. Participants were recruited via local palliative care services in rural regions. The discussions focused on experiences with palliative care, medication logistics, needs, expectations, and concerns regarding drone-assisted delivery. Interviews and the FG were audio-recorded, transcribed, and analyzed using structured qualitative content analysis. Results: A total of 10 caregivers participated (mean age 68.6, SD 12.3 years) in this study. Six participants took part in the FG and 4 participants were part of individually conducted interviews. Caregivers frequently reported long travel distances to obtain medications, sometimes leaving patients unattended and noting medication shortages, especially in the afternoons and on weekends. Participants highlighted the potential of drones to supplement existing courier services during periods of high demand. At the same time, caregivers expressed concerns about limited technical skills, particularly regarding mobile apps for ordering deliveries, and emphasized the need for simple, user-friendly systems. . Conclusions: These findings reveal logistical gaps in palliative care medication supply and design requirements for drone-based delivery systems. There is a clear demand for faster, more reliable access to essential medication, especially during evenings and weekends. Whether drone-assisted delivery can reduce hospitalizations and support patients' wishes to remain at home warrants further research. Specialized outpatient palliative care teams are central to eHealth adoption, providing technical guidance, emotional support, and confidence in using new technologies. Their involvement in communication and training is critical. Strengthening digital health literacy requires individual training and structural adjustments to meet the needs of older caregivers and those with limited digital affinity. Concerns about losing personal interaction remain significant; digital tools should complement, not replace, face-to-face care. Timely medication access could reduce caregiver stress and improve quality of life by supporting symptom control at home. To foster acceptance, caregivers need hands-on experience. Future studies should test drone delivery in real-world settings, addressing technological, psychological, and social factors.", "keywords": [ "Focus group", "Palliative care", "eHealth", "Qualitative research", "Digital health", "Quality of life (healthcare)", "Quality (philosophy)", "Social support", "Telehealth" ], "cited_by_openalex": 4, "cited_by_scopus": "3", "eid": "2-s2.0-105026051086", "pii": null, "open_access_url": "https://doi.org/10.2196/80320", "sources": [ { "db": "openalex", "stream": "UAV", "query_id": "UAV-3" }, { "db": "scopus", "stream": "UAV", "query_id": "UAV-3" } ], "streams": [ "UAV" ], "relevance_signals": [ "UAV" ], "auto_exclude_reason": null, "screening_status": "pending_human_screening", "screened_by": "auto-v1.0.0" }, { "id": "doi:10.1186/s12544-025-00748-3", "doi": "10.1186/s12544-025-00748-3", "title": "Exploring the dynamics of public acceptance factors and drone transport planning towards sustainable transitions", "year": 2025, "authors": [ "Aishwarya Raghunatha", "Per Hilletofth", "Patrik Thollander" ], "first_author": "Aishwarya Raghunatha", "venue": "European Transport Research Review", "volume": "17", "pages": null, "type": "article", "language": "en", "abstract": "Abstract Improving accessibility and decarbonization of the transport sector using drones involves technology and infrastructure-related considerations that must meet public expectations. This paper, set primarily in Europe, aims to identify (a) technology and infrastructural planning considerations, and (b) implications of dynamics between planning considerations and public acceptance. The identified planning considerations include type of application, choice of drone, flight altitudes, airspace planning, restricted zones, vertiport locations, digital infrastructure, charging infrastructure, time of operations, type of delivery, and transportation model, in areas of both high and low population densities. This paper primarily employs a literature review and validates the results using expert interviews. Key trade-offs for regional planners and transport companies are discussed and synthesized on different drone system levels. Eleven critical and pragmatic implications for planning and decision-making are highlighted for implementing drone services into existing transport. These implications also indicate critical research gaps needed to plan for this emerging technology aligned with sustainability goals.", "keywords": [ "Drone", "Plan (archaeology)", "Sustainability", "Public transport", "Transportation planning", "Population", "Key (lock)", "Set (abstract data type)" ], "cited_by_openalex": 4, "cited_by_scopus": "3", "eid": "2-s2.0-105020660777", "pii": null, "open_access_url": "https://etrr.springeropen.com/counter/pdf/10.1186/s12544-025-00748-3", "sources": [ { "db": "openalex", "stream": "UAV", "query_id": "UAV-3" }, { "db": "scopus", "stream": "UAV", "query_id": "UAV-3" } ], "streams": [ "UAV" ], "relevance_signals": [ "UAV_NO_CTX" ], "auto_exclude_reason": "EC-4-topic", "screening_status": "auto_excluded", "screened_by": "auto-v1.0.0" }, { "id": "doi:10.1109/icns65417.2025.10976853", "doi": "10.1109/icns65417.2025.10976853", "title": "Development and Evaluation via Fast-Time Simulation of an Air Taxi Shuttle Service for the City of Frankfurt Connecting Airport and Trade Fair", "year": 2025, "authors": [ "Fabian Morscheck", "Christian Kallies", "Enno Nagel", "Rostislav Karásek" ], "first_author": "Fabian Morscheck", "venue": "Integrated Communications Navigation and Surveillance Conference Icns", "volume": null, "pages": null, "type": "conference-paper", "language": "en", "abstract": "The CORUS-XUAM project defined three bidirectional corridors within U-space for an air taxi shuttle service in Frankfurt, connecting Terminal 2 of the outer-city Airport to the inner-city Trade Fair. These corridors consider airplane approach cones for the northern and central runways, no-fly zones around hospitals, and large buildings. In our previous study, we used fast-time simulations to evaluate the U-space routing and its operating concept, based on historical air traffic data, including arriving and departing airplanes as well as police, and medical helicopters throughout the city. Our former research was focused on the limitations of the airspace, avoiding conflicts with other airspace users and between the air taxis using a different corridor or delaying the departure, as well as determining the throughput potential of such a corridor system. In this study, we additionally simulate demand for the airport shuttle service by using historical arrival and departure times, airplane types, and available seats per travel class. Our analysis now also considers ground limitations, specifically the capacities of the two vertiports and the turnaround time needed for recharging or changing the batteries. This lets us suitably size both vertiports and then draw conclusions about the real limiting factors of running an air taxi airport shuttle service as in Frankfurt, revealing that most of the time the limiting factors reside rather on ground than in air space. One notable exception are medical or police helicopters flying close to the Trade Fair vertiport blocking all three corridors at once and bring the airport shuttle service to a complete halt.", "keywords": [ "Service (business)", "Aeronautics", "Transport engineering", "Telecommunications", "Computer science", "Engineering", "Business", "Marketing" ], "cited_by_openalex": 1, "cited_by_scopus": "3", "eid": "2-s2.0-105005184188", "pii": null, "open_access_url": "https://doi.org/10.1109/icns65417.2025.10976853", "sources": [ { "db": "openalex", "stream": "UAV", "query_id": "UAV-3" }, { "db": "scopus", "stream": "UAV", "query_id": "UAV-3" } ], "streams": [ "UAV" ], "relevance_signals": [ "UAV_NO_CTX" ], "auto_exclude_reason": "EC-4-topic", "screening_status": "auto_excluded", "screened_by": "auto-v1.0.0" }, { "id": "doi:10.2514/6.2025-3243", "doi": "10.2514/6.2025-3243", "title": "A Spatiotemporal Approach to Portal Siting and Routing for Urban Air Mobility: A Case Study on New York City", "year": 2025, "authors": [ "Katie Vasiloff", "Zhenbo Wang", "Liang Quan Sun" ], "first_author": "Katie Vasiloff", "venue": "AIAA Aviation Forum and Ascend 2025", "volume": null, "pages": null, "type": "conference-paper", "language": "en", "abstract": "Advances in battery technology and autonomy algorithms have unlocked potential for electric Vertical Take-off and Landing (eVTOL) aircraft to serve Urban Air Mobility (UAM) operations. As the demand for UAM services grows over time, the optimal locations of UAM ground infrastructure that satisfy dynamic trip demand in the long term must be determined. In this paper, we implement a Bass diffusion model with a price relationship curve to predict the UAM trip price as a function of UAM commuters. Next, we integrate the dynamic pricing data with a Multinomial Logit Model (MNL) to estimate the long-term spatiotemporal demand for UAM services. Subsequently, we formulate and solve a vertiport Location-Routing problem (LRP) to determine optimal UAM locations and travel networks over time that will maximize the spatiotemporal demand. We validate these approaches by conducting a case study on New York City, where we estimate the UAM demand over a series of time steps and solve a temporal vertiport LRP.", "keywords": [ "Routing (electronic design automation)", "Computer science", "Environmental science", "Transport engineering", "Computer network", "Engineering" ], "cited_by_openalex": 1, "cited_by_scopus": "3", "eid": "2-s2.0-105018092464", "pii": null, "open_access_url": "https://doi.org/10.2514/6.2025-3243", "sources": [ { "db": "openalex", "stream": "UAV", "query_id": "UAV-3" }, { "db": "scopus", "stream": "UAV", "query_id": "UAV-3" } ], "streams": [ "UAV" ], "relevance_signals": [ "UAV_NO_CTX" ], "auto_exclude_reason": "EC-4-topic", "screening_status": "auto_excluded", "screened_by": "auto-v1.0.0" }, { "id": "doi:10.2514/6.2025-3752", "doi": "10.2514/6.2025-3752", "title": "On the Use of Perforated Sheets To Reduce Propeller Noise in Ground Effect", "year": 2025, "authors": [ "Sung Tyaek Go", "Esmaeel Masoudi", "Abhishek Gautam", "Mahdi Azarpeyvand" ], "first_author": "Sung Tyaek Go", "venue": "AIAA Aviation Forum and Ascend 2025", "volume": null, "pages": null, "type": "conference-paper", "language": "en", "abstract": "It is well known that a propeller hovering in close proximity to a solid ground plane can increase thrust levels for a given power. However, previous experimental studies have shown that this can lead to undesirable increases in noise levels, which can become an issue for Urban Air Mobility (UAM) when electric vertical take-off and landing (eVTOL) aircraft are taking off or landing from a vertiport landing pad. In this paper, we test a design for a vertiport landing pad which consists of a plane of perforated sheets placed some distance above a solid ground plane, thereby effectively increasing the distance between the propeller and the solid ground plane when taking off and landing. Experiments were undertaken in an anechoic chamber of a single propeller operating above a plane of perforated sheets which are supported below by a solid ground plane. Far-field noise measurements were undertaken to investigate the effect of the perforated sheets on the noise produced by the propeller. Preliminary results of the far-field acoustic measurements are presented and show that the perforated sheets have a negligible effect on the far-field noise.", "keywords": [ "Acoustics", "Noise (video)", "Propeller", "Computer science", "Environmental science", "Engineering", "Marine engineering", "Physics" ], "cited_by_openalex": 1, "cited_by_scopus": "3", "eid": "2-s2.0-105017959000", "pii": null, "open_access_url": "https://research-information.bris.ac.uk/files/474233173/go-et-al-2025-on-the-use-of-perforated-sheets-to-reduce-propeller-noise-in-ground-effect.pdf", "sources": [ { "db": "openalex", "stream": "UAV", "query_id": "UAV-3" }, { "db": "scopus", "stream": "UAV", "query_id": "UAV-3" } ], "streams": [ "UAV" ], "relevance_signals": [ "UAV_NO_CTX" ], "auto_exclude_reason": "EC-4-topic", "screening_status": "auto_excluded", "screened_by": "auto-v1.0.0" }, { "id": "doi:10.3390/drones9060396", "doi": "10.3390/drones9060396", "title": "Optimization Methods for Unmanned eVTOL Approach Sequencing Considering Flight Priority and Traffic Flow Imbalance", "year": 2025, "authors": [ "Zhiqiang Wei", "Xinlong Xiao", "Xiangling Zhao", "Jie Yuan" ], "first_author": "Zhiqiang Wei", "venue": "Drones", "volume": "9", "pages": null, "type": "article", "language": "en", "abstract": "Approach sequencing is important for multiple unmanned electric vertical take-off and landing (eVTOL) vehicles landing in vertiport. In this study, the additional intermediate transition ring (AIR) approach procedure in a balanced traffic flow scenario, the single ring movement-allowed (SRMA) approach procedure in an imbalanced traffic flow scenario, and the additional ring and allowing of movement (ARAM) approach procedure in a mixed scenario are proposed and designed to improve the efficiency of approach sequencing. Furthermore, a priority loss classification method is proposed to consider the unmanned eVTOL flight priority difference. Finally, a multi-objective optimization model is constructed with the constraints of inflow, outflow, moment continuity, flow balance, and conflict avoidance. The objectives are minimizing the power consumption, total operation time, and priority loss. Comparison experiments are conducted, and the final results demonstrate that the ARAM approach procedure can reduce the average holding time by 8.4% and 7.6% less than the branch-queuing approach (BQA) and AIR in a balanced traffic flow scenario, respectively. The ARAM approach procedure can reduce the average holding time by 6.5% less than BQA in an imbalanced traffic flow scenario.", "keywords": [ "Computer science", "Aeronautics", "Engineering" ], "cited_by_openalex": 3, "cited_by_scopus": "3", "eid": "2-s2.0-105009118075", "pii": null, "open_access_url": "https://doi.org/10.3390/drones9060396", "sources": [ { "db": "openalex", "stream": "UAV", "query_id": "UAV-3" }, { "db": "scopus", "stream": "UAV", "query_id": "UAV-3" } ], "streams": [ "UAV" ], "relevance_signals": [ "UAV_NO_CTX" ], "auto_exclude_reason": "EC-4-topic", "screening_status": "auto_excluded", "screened_by": "auto-v1.0.0" }, { "id": "doi:10.2514/1.c038188", "doi": "10.2514/1.c038188", "title": "Annoyance Model Assessments of Urban Air Mobility Vehicle Operations", "year": 2025, "authors": [ "Stephen A. Rizzi", "Andrew W. Christian", "Stefan J. Letica", "Shane V. Lympany" ], "first_author": "Stephen A. Rizzi", "venue": "Journal of Aircraft", "volume": "63", "pages": "62-77", "type": "article", "language": "en", "abstract": "As urban air mobility (UAM) vehicles begin to enter service, consideration must be given to vertiport siting and flight routing to help reduce community noise impact and promote adoption by the community. A possible early strategy to reduce annoyance is to operate the vehicles in areas of existing high ambient noise. In order to assess the effectiveness of such a strategy, an annoyance model that takes audibility into account is needed. This paper reviews a recently developed annoyance model that includes audibility as a factor and applies it to two flight operations. A simple overflight case is first undertaken to demonstrate the approach. A point-to-point operation in the New York City area is then considered to demonstrate how annoyance varies across an urban soundscape. The cases considered use modeled UAM vehicle noise propagated to a set of ground observers as the signals and either recorded or modeled ambient acoustic data as the maskers.", "keywords": [ "Annoyance", "Aeronautics", "Computer science", "Environmental science", "Aerospace engineering", "Transport engineering", "Automotive engineering", "Engineering" ], "cited_by_openalex": 2, "cited_by_scopus": "3", "eid": "2-s2.0-105034747429", "pii": null, "open_access_url": "https://doi.org/10.2514/1.c038188", "sources": [ { "db": "openalex", "stream": "UAV", "query_id": "UAV-3" }, { "db": "scopus", "stream": "UAV", "query_id": "UAV-3" } ], "streams": [ "UAV" ], "relevance_signals": [ "UAV_NO_CTX" ], "auto_exclude_reason": "EC-4-topic", "screening_status": "auto_excluded", "screened_by": "auto-v1.0.0" }, { "id": "doi:10.3390/rs17142476", "doi": "10.3390/rs17142476", "title": "A Multidimensional Parameter Dynamic Evolution-Based Airdrop Target Prediction Method Driven by Multiple Models", "year": 2025, "authors": [ "Xuesong Wang", "Jiapeng Yin", "Jianbing Li", "Yongzhen Li" ], "first_author": "Xuesong Wang", "venue": "Remote Sensing", "volume": "17", "pages": null, "type": "article", "language": "en", "abstract": "With the wide application of airdrop technology in rescue activities in civil and aerospace fields, the importance of accurate airdrop is increasing. This work comprehensively analyzes the interactive mechanisms among multiple models affecting airdrops, including wind field distribution, drag force effect, and the parachute opening process. By integrating key parameters across various dimensions of these models, a multidimensional parameter dynamic evolution (MPDE) target prediction method for aerial delivery parachutes in radar-detected wind fields is proposed, and the Runge–Kutta method is applied to dynamically solve for the final landing point of the target. In order to verify the performance of the method, this work carries out field airdrop experiments based on the radar-measured meteorological data. To evaluate the impact of model input errors on prediction methods, this work analyzes the influence mechanism of the wind field detection error on the airdrop prediction method via the Relative Gain Array (RGA) and verifies the analytical results using the numerical simulation method. The experimental results indicate that the optimized MPDE method exhibits higher accuracy than the widely used linear airdrop target prediction method, with the accuracy improved by 52.03%. Additionally, under wind field detection errors, the linear prediction method demonstrates stronger robustness. The airdrop error shows a trigonometric relationship with the angle between the synthetic wind direction and the heading, and the phase of the function will shift according to the difference in errors. The sensitivity of the MPDE method to wind field errors is positively correlated with the size of its object parachute area.", "keywords": [ "Computer science", "Radar", "Robustness (evolution)", "Algorithm" ], "cited_by_openalex": 3, "cited_by_scopus": "3", "eid": "2-s2.0-105011758208", "pii": null, "open_access_url": "https://www.mdpi.com/2072-4292/17/14/2476/pdf?version=1752716805", "sources": [ { "db": "openalex", "stream": "UAV", "query_id": "UAV-3" }, { "db": "scopus", "stream": "UAV", "query_id": "UAV-3" } ], "streams": [ "UAV" ], "relevance_signals": [ "UAV_NO_CTX" ], "auto_exclude_reason": "EC-4-topic", "screening_status": "auto_excluded", "screened_by": "auto-v1.0.0" }, { "id": "doi:10.3390/aerospace12020147", "doi": "10.3390/aerospace12020147", "title": "Scalability of eVTOL Systems: Insights from Multi-Pad Configurations and CPN Analysis", "year": 2025, "authors": [ "Amir Qanbari", "Jacek Skorupski" ], "first_author": "Amir Qanbari", "venue": "Aerospace", "volume": "12", "pages": null, "type": "article", "language": "en", "abstract": "Electric vertical takeoff and landing (eVTOL) technology can improve connectivity while minimizing reliance on traditional ground-based transportation systems. However, the rapid growth in eVTOL adoption brings challenges in managing landing pad operations and scheduling routes effectively. This study aims to analyze eVTOL landing operations and provide a framework for evaluating system performance under different configurations. Key objectives include (i) identifying bottlenecks in landing pad operations, (ii) proposing improvements to enhance scalability and efficiency through multi-route and multi-pad configurations, and (iii) assessing the impact of operational parameters, such as increased horizontal speed, on overall performance. A simulation analysis was conducted using an original model developed with colored, timed Petri net technology. This methodology aligns with the principles of probabilistic modeling and queuing systems. The experiments provided a comprehensive analysis of the factors influencing the scalability and efficiency of eVTOL operations. A key finding across all experiments is the identification of the “Landing Confirmed—Move to V” as a consistent bottleneck stage. While increasing routes and pads significantly alleviates arrival delays, it does not address identified bottlenecks, which require innovative solutions such as route optimization or speed enhancements. The results underscore the importance of a robust and adaptable framework to support the increasing demand for eVTOL traffic. Urban planners and policymakers can utilize these findings to prioritize the development of vertiports capable of supporting this expanding mode of transportation. The scalability demonstrated in this study validates the feasibility of eVTOL systems as a viable solution for urban mobility.", "keywords": [ "Scalability", "Computer science", "Distributed computing", "Database" ], "cited_by_openalex": 2, "cited_by_scopus": "3", "eid": "2-s2.0-85218873435", "pii": null, "open_access_url": "https://doi.org/10.3390/aerospace12020147", "sources": [ { "db": "openalex", "stream": "UAV", "query_id": "UAV-3" }, { "db": "scopus", "stream": "UAV", "query_id": "UAV-3" } ], "streams": [ "UAV" ], "relevance_signals": [ "UAV_NO_CTX" ], "auto_exclude_reason": "EC-4-topic", "screening_status": "auto_excluded", "screened_by": "auto-v1.0.0" }, { "id": "doi:10.14743/apem2025.3.545", "doi": "10.14743/apem2025.3.545", "title": "Two-echelon drone–truck collaborative TSP-based routing for humanitarian logistics with time windows and stochastic demand", "year": 2025, "authors": [ "N. Xiao", "H. Lan" ], "first_author": "N. Xiao", "venue": "Advances in Production Engineering & Management", "volume": "20", "pages": "351-368", "type": "article", "language": null, "abstract": "In humanitarian logistics emergency material transportation and distribution, trucks offer large load capacity and long driving range, whereas drone transportation is independent of ground road conditions but constrained by battery life and payload capacity. The coordination of the two can therefore provide complementary advantages. In this paper, the traveling salesman problem is formulated for a two-echelon emergency material distribution process, spanning transportation from the central warehouse to the distribution center and then to the demand points. In the first stage, transportation from the central warehouse to the distribution center is performed by trucks. In the second stage, trucks and drones collaboratively carry out material distribution from the distribution center to the demand points. Based on the above scenario, this paper aims to minimize the total cost of completing all distribution tasks. The model considers capacity constraints at distribution centers, time window constraints at demand points, and stochastic demand, and establishes a two-echelon traveling salesman problem for humanitarian logistics with truck–drone collaboration. Based on the particle swarm optimization (PSO) framework, a heuristic algorithm named PSO-VD is proposed, which transforms the discrete traveling salesman problem into a continuous encoding and integrates drone routes into truck routes using the 2-opt method. In small-scale instances, the solutions obtained by PSO-VD are compared with those of commercial solvers, demonstrating that the proposed algorithm achieves high accuracy with low computational time. For instances with up to 12 demand points, the algorithm obtains solutions within 150 seconds, with an accuracy deviation of less than 10 % compared to exact solution methods. The applicability of the algorithm proposed in this paper has been demonstrated through large-scale numerical examples. Sensitivity analyses are conducted on key parameters, including the time window penalty coefficient, drone speed, and drone battery capacity, yielding practical managerial insights.", "keywords": [ "Travelling salesman problem", "Truck", "Distribution center", "Vehicle routing problem", "Drone", "Payload (computing)", "2-opt", "Heuristic", "Distribution (mathematics)", "Routing (electronic design automation)" ], "cited_by_openalex": 1, "cited_by_scopus": "3", "eid": "2-s2.0-105038306099", "pii": null, "open_access_url": "https://apem-journal.org/Archives/2025/Abstract-APEM20-3_351-368.pdf", "sources": [ { "db": "openalex", "stream": "UAV", "query_id": "UAV-3" }, { "db": "scopus", "stream": "UAV", "query_id": "UAV-2" }, { "db": "scopus", "stream": "UAV", "query_id": "UAV-3" } ], "streams": [ "UAV" ], "relevance_signals": [ "UAV_NO_CTX", "TRUCK_NO_CTX" ], "auto_exclude_reason": "EC-4-topic", "screening_status": "auto_excluded", "screened_by": "auto-v1.0.0" }, { "id": "doi:10.1016/j.scs.2025.107032", "doi": "10.1016/j.scs.2025.107032", "title": "Mobility data uncover spillover impacts of freight activities on urban neighborhoods", "year": 2025, "authors": [ "Yang Y." ], "first_author": "Yang Y.", "venue": "Sustainable Cities and Society", "volume": "135", "pages": null, "type": "Article", "language": null, "abstract": null, "keywords": [], "cited_by_openalex": 0, "cited_by_scopus": "3", "eid": "2-s2.0-105023837106", "pii": "S2210670725009023", "open_access_url": null, "sources": [ { "db": "scopus", "stream": "TRUCK", "query_id": "TRUCK-1" }, { "db": "scopus", "stream": "TRUCK", "query_id": "TRUCK-2" } ], "streams": [ "TRUCK" ], "relevance_signals": [ "NO_TECHNOLOGY_MATCH" ], "auto_exclude_reason": "EC-4-topic", "screening_status": "auto_excluded", "screened_by": "auto-v1.0.0" }, { "id": "doi:10.1016/j.tra.2024.104321", "doi": "10.1016/j.tra.2024.104321", "title": "A facility location problem considering freight tours to support Freight-Efficient Land Use planning", "year": 2025, "authors": [ "Rivera-Gonzalez C." ], "first_author": "Rivera-Gonzalez C.", "venue": "Transportation Research Part A Policy and Practice", "volume": "192", "pages": null, "type": "Article", "language": null, "abstract": null, "keywords": [], "cited_by_openalex": 0, "cited_by_scopus": "3", "eid": "2-s2.0-85213210810", "pii": "S0965856424003690", "open_access_url": null, "sources": [ { "db": "scopus", "stream": "TRUCK", "query_id": "TRUCK-1" } ], "streams": [ "TRUCK" ], "relevance_signals": [ "NO_TECHNOLOGY_MATCH" ], "auto_exclude_reason": "EC-4-topic", "screening_status": "auto_excluded", "screened_by": "auto-v1.0.0" }, { "id": "doi:10.1016/j.tre.2025.104436", "doi": "10.1016/j.tre.2025.104436", "title": "Two-echelon container drayage with multiple transportation modes and overall-network time interdependence", "year": 2025, "authors": [ "Wang D." ], "first_author": "Wang D.", "venue": "Transportation Research Part E Logistics and Transportation Review", "volume": "204", "pages": null, "type": "Article", "language": null, "abstract": null, "keywords": [], "cited_by_openalex": 0, "cited_by_scopus": "3", "eid": "2-s2.0-105017583037", "pii": "S1366554525004776", "open_access_url": null, "sources": [ { "db": "scopus", "stream": "TRUCK", "query_id": "TRUCK-3" } ], "streams": [ "TRUCK" ], "relevance_signals": [ "TRUCK_NO_CTX" ], "auto_exclude_reason": "EC-4-topic", "screening_status": "auto_excluded", "screened_by": "auto-v1.0.0" }, { "id": "doi:10.16097/j.cnki.1009-6744.2025.06.004", "doi": "10.16097/j.cnki.1009-6744.2025.06.004", "title": "Drone Delivery: A Systematic Review on Technology, Efficiency, and Applications", "year": 2025, "authors": [ "Wu J." ], "first_author": "Wu J.", "venue": "Jiaotong Yunshu Xitong Gongcheng Yu Xinxi Journal of Transportation Systems Engineering and Information Technology", "volume": "25", "pages": "34-49", "type": "Review", "language": null, "abstract": null, "keywords": [], "cited_by_openalex": 0, "cited_by_scopus": "3", "eid": "2-s2.0-105029016262", "pii": null, "open_access_url": null, "sources": [ { "db": "scopus", "stream": "UAV", "query_id": "UAV-1" } ], "streams": [ "UAV" ], "relevance_signals": [ "UAV_NO_CTX" ], "auto_exclude_reason": "EC-4-topic", "screening_status": "auto_excluded", "screened_by": "auto-v1.0.0" }, { "id": "doi:10.1038/s41598-025-26232-5", "doi": "10.1038/s41598-025-26232-5", "title": "Three-learning strategy particle swarm optimization for air-ground collaborative logistics transportation scheduling problem with pickup and delivery considering customer priorities", "year": 2025, "authors": [ "Qi Y." ], "first_author": "Qi Y.", "venue": "Scientific Reports", "volume": "15", "pages": null, "type": "Article", "language": null, "abstract": null, "keywords": [], "cited_by_openalex": 0, "cited_by_scopus": "3", "eid": "2-s2.0-105024244895", "pii": null, "open_access_url": null, "sources": [ { "db": "scopus", "stream": "UAV", "query_id": "UAV-2" } ], "streams": [ "UAV" ], "relevance_signals": [ "NO_TECHNOLOGY_MATCH" ], "auto_exclude_reason": "EC-4-topic", "screening_status": "auto_excluded", "screened_by": "auto-v1.0.0" }, { "id": "doi:10.13195/j.kzyjc.2025.0347", "doi": "10.13195/j.kzyjc.2025.0347", "title": "Memetic algorithm for vehicle-drone collaborative routing problem with simultaneous pickup and delivery", "year": 2025, "authors": [ "Wang J.H." ], "first_author": "Wang J.H.", "venue": "Kongzhi Yu Juece Control and Decision", "volume": "40", "pages": "3287-3299", "type": "Article", "language": null, "abstract": null, "keywords": [], "cited_by_openalex": 0, "cited_by_scopus": "3", "eid": "2-s2.0-105018796755", "pii": null, "open_access_url": null, "sources": [ { "db": "scopus", "stream": "UAV", "query_id": "UAV-2" } ], "streams": [ "UAV" ], "relevance_signals": [ "UAV_NO_CTX" ], "auto_exclude_reason": "EC-4-topic", "screening_status": "auto_excluded", "screened_by": "auto-v1.0.0" }, { "id": "doi:10.17341/gazimmfd.1559891", "doi": "10.17341/gazimmfd.1559891", "title": "Routing and payload planning of multi-base, heterogeneous fleet unmanned aerial vehicles to time-windowed missions", "year": 2025, "authors": [ "Altundaş A." ], "first_author": "Altundaş A.", "venue": "Journal of the Faculty of Engineering and Architecture of Gazi University", "volume": "40", "pages": "1611-1623", "type": "Article", "language": null, "abstract": null, "keywords": [], "cited_by_openalex": 0, "cited_by_scopus": "3", "eid": "2-s2.0-105013664435", "pii": null, "open_access_url": null, "sources": [ { "db": "scopus", "stream": "UAV", "query_id": "UAV-2" } ], "streams": [ "UAV" ], "relevance_signals": [ "UAV_NO_CTX" ], "auto_exclude_reason": "EC-4-topic", "screening_status": "auto_excluded", "screened_by": "auto-v1.0.0" }, { "id": "doi:10.12305/j.issn.1001-506x.2025.08.18", "doi": "10.12305/j.issn.1001-506x.2025.08.18", "title": "Bi-objective location-routing problem of UAV for photovoltaic power station inspection research", "year": 2025, "authors": [ "Li Y." ], "first_author": "Li Y.", "venue": "Xi Tong Gong Cheng Yu Dian Zi Ji Shu Systems Engineering and Electronics", "volume": "47", "pages": "2612-2621", "type": "Article", "language": null, "abstract": null, "keywords": [], "cited_by_openalex": 0, "cited_by_scopus": "3", "eid": "2-s2.0-105015041738", "pii": null, "open_access_url": null, "sources": [ { "db": "scopus", "stream": "UAV", "query_id": "UAV-2" } ], "streams": [ "UAV" ], "relevance_signals": [ "UAV_NO_CTX" ], "auto_exclude_reason": "EC-4-topic", "screening_status": "auto_excluded", "screened_by": "auto-v1.0.0" }, { "id": "doi:10.3969/j.issn.1000-4653.2025.01.021", "doi": "10.3969/j.issn.1000-4653.2025.01.021", "title": "Location and routing optimization problem for detecting multi-drone ship emissions based on a bi-stage algorithm", "year": 2025, "authors": [ "Hu D." ], "first_author": "Hu D.", "venue": "Navigation of China", "volume": "48", "pages": "165-173", "type": "Article", "language": null, "abstract": null, "keywords": [], "cited_by_openalex": 0, "cited_by_scopus": "3", "eid": "2-s2.0-105036531369", "pii": null, "open_access_url": null, "sources": [ { "db": "scopus", "stream": "UAV", "query_id": "UAV-2" } ], "streams": [ "UAV" ], "relevance_signals": [ "UAV_NO_CTX" ], "auto_exclude_reason": "EC-4-topic", "screening_status": "auto_excluded", "screened_by": "auto-v1.0.0" }, { "id": "doi:10.2514/1.i011478", "doi": "10.2514/1.i011478", "title": "Multi-Agent Grouping and Routing with Cooperative Tasks", "year": 2025, "authors": [ "Choi E." ], "first_author": "Choi E.", "venue": "Journal of Aerospace Information Systems", "volume": "22", "pages": "163-176", "type": "Article", "language": null, "abstract": null, "keywords": [], "cited_by_openalex": 0, "cited_by_scopus": "3", "eid": "2-s2.0-86000039567", "pii": null, "open_access_url": null, "sources": [ { "db": "scopus", "stream": "UAV", "query_id": "UAV-2" } ], "streams": [ "UAV" ], "relevance_signals": [ "NO_TECHNOLOGY_MATCH" ], "auto_exclude_reason": "EC-4-topic", "screening_status": "auto_excluded", "screened_by": "auto-v1.0.0" }, { "id": "doi:10.1108/ijicc-07-2025-0425", "doi": "10.1108/ijicc-07-2025-0425", "title": "Application of drones in issuing parking tickets: an innovative solution for route optimization and workforce replacement", "year": 2025, "authors": [ "Lu S.H." ], "first_author": "Lu S.H.", "venue": "International Journal of Intelligent Computing and Cybernetics", "volume": null, "pages": "812-855", "type": "Article", "language": null, "abstract": null, "keywords": [], "cited_by_openalex": 0, "cited_by_scopus": "3", "eid": "2-s2.0-105024611492", "pii": null, "open_access_url": null, "sources": [ { "db": "scopus", "stream": "UAV", "query_id": "UAV-2" } ], "streams": [ "UAV" ], "relevance_signals": [ "UAV_NO_CTX" ], "auto_exclude_reason": "EC-4-topic", "screening_status": "auto_excluded", "screened_by": "auto-v1.0.0" }, { "id": "doi:10.1109/access.2025.3526771", "doi": "10.1109/access.2025.3526771", "title": "Interval-Aware Scheduling of Surveillance Drones: Exact and Heuristic Approaches", "year": 2025, "authors": [ "Mori K." ], "first_author": "Mori K.", "venue": "IEEE Access", "volume": "13", "pages": "5749-5761", "type": "Article", "language": null, "abstract": null, "keywords": [], "cited_by_openalex": 0, "cited_by_scopus": "3", "eid": "2-s2.0-85214457978", "pii": null, "open_access_url": null, "sources": [ { "db": "scopus", "stream": "UAV", "query_id": "UAV-2" } ], "streams": [ "UAV" ], "relevance_signals": [ "UAV_NO_CTX" ], "auto_exclude_reason": "EC-4-topic", "screening_status": "auto_excluded", "screened_by": "auto-v1.0.0" }, { "id": "doi:10.19961/j.cnki.1672-4747.2025.04.007", "doi": "10.19961/j.cnki.1672-4747.2025.04.007", "title": "Locating urban flying car vertiports part II: two-stage optimization for hub-and-spoke networks", "year": 2025, "authors": [ "Yin H." ], "first_author": "Yin H.", "venue": "Journal of Transportation Engineering and Information", "volume": "23", "pages": "88-102", "type": "Article", "language": null, "abstract": null, "keywords": [], "cited_by_openalex": 0, "cited_by_scopus": "3", "eid": "2-s2.0-105021981463", "pii": null, "open_access_url": null, "sources": [ { "db": "scopus", "stream": "UAV", "query_id": "UAV-3" } ], "streams": [ "UAV" ], "relevance_signals": [ "UAV_NO_CTX" ], "auto_exclude_reason": "EC-4-topic", "screening_status": "auto_excluded", "screened_by": "auto-v1.0.0" }, { "id": "doi:10.1109/jiot.2025.3641887", "doi": "10.1109/jiot.2025.3641887", "title": "A Two-Stage Framework Based on RL for Truck–Drone Collaborative Delivery Problem", "year": 2025, "authors": [ "Yuanbo Li", "Chengwei Zhang", "Wanting Liu", "Chao Li", "Dou An", "Qi Wang" ], "first_author": "Yuanbo Li", "venue": "IEEE Internet of Things Journal", "volume": "13", "pages": "8777-8788", "type": "article", "language": null, "abstract": "With the explosive growth of e-commerce, efficient last-mile delivery has emerged as a critical challenge. Truck-drone collaborative delivery has garnered significant attention as a promising solution to this problem. In this work, we formulate the truck-drone collaborative delivery problem as a collaborative optimization problem, aiming to minimize the total completion time for delivering packages to customers by leveraging the complementary strengths of the drone’s speed and the truck’s endurance. We propose a two-stage framework to address this challenge. In the first stage, the Lin-Kernighan Helsgaun (LKH) algorithm is employed to generate a high-quality initial Traveling Salesman Problem (TSP) solution, serving as a robust starting point. In the second stage, a Sequence Allocate Policy (SAPPO), based on Proximal Policy Optimization, refines the TSP solution by optimizing the truck-drone collaborative path using a specially designed action space. Extensive experiments conducted on both random dataset and TSPLIB benchmarks demonstrate that our method significantly outperforms existing algorithms regarding delivery time, while exhibiting improved scalability and less training time.", "keywords": [ "Scalability", "Travelling salesman problem", "Path (computing)", "Collaborative software", "Sequence (biology)", "Optimization problem" ], "cited_by_openalex": 2, "cited_by_scopus": "2", "eid": "2-s2.0-105024710745", "pii": null, "open_access_url": "https://doi.org/10.1109/jiot.2025.3641887", "sources": [ { "db": "openalex", "stream": "TRUCK", "query_id": "TRUCK-1" }, { "db": "openalex", "stream": "UAV", "query_id": "UAV-1" }, { "db": "scopus", "stream": "TRUCK", "query_id": "TRUCK-1" }, { "db": "scopus", "stream": "UAV", "query_id": "UAV-1" }, { "db": "scopus", "stream": "UAV", "query_id": "UAV-2" } ], "streams": [ "TRUCK", "UAV" ], "relevance_signals": [ "UAV", "TRUCK" ], "auto_exclude_reason": null, "screening_status": "pending_human_screening", "screened_by": "auto-v1.0.0" }, { "id": "doi:10.1016/j.clscn.2025.100276", "doi": "10.1016/j.clscn.2025.100276", "title": "A sustainable crowd shipping model using public transport for low-carbon urban logistics", "year": 2025, "authors": [ "Hisatoshi Naganawa", "Enna Hirata", "Russell George Thompson" ], "first_author": "Hisatoshi Naganawa", "venue": "Cleaner Logistics and Supply Chain", "volume": null, "pages": null, "type": "article", "language": "en", "abstract": "• Developed a dynamic programming-based transport mode selection model integrating trucks, private cars, and trains for optimized urban parcel delivery. • Incorporated time constraints, congestion limits, and environmental cost factors , encouraging sustainable transport choices. • Conducted empirical validation using GIS and logistics datasets from Osaka, Japan, ensuring real-world applicability. • Identified that the proposed CCTS model can reduce CO 2 emissions by up to 80% , lower delivery costs, and improve last-mile efficiency. • Demonstrated the feasibility of leveraging public transport and parcel lockers to enhance urban freight resilience and sustainability. This study proposes a novel approach to sustainable urban logistics through a crowdsourced co-modality transportation system (CCTS) integrated with public transport networks. The research introduces a dual-layer multi-modal CCTS framework that optimally combines conventional delivery services with crowd shipping, leveraging existing passenger transport infrastructure to reduce environmental impacts. A dynamic programming model is developed to optimize mode selection, incorporating multiple transport modes in the context of physical internet, congestion constraints, train capacity, and carbon footprint considerations. By employing heuristic search methods for parcel locker placement, the study enhances last-mile delivery efficiency. Using Osaka as a case study, simulation results demonstrate that engaging commuters as delivery agents and integrating smart parcel lockers can significantly reduce urban freight emissions – achieving up to 80% carbon savings in specific scenarios. These findings highlight the potential of public transport-based crowd shipping to enhance delivery efficiency while contributing to cleaner and more sustainable cities.", "keywords": [ "Public transport", "Carbon footprint", "Sustainable transport", "City logistics", "Train", "Context (archaeology)", "Traffic management", "Crowdsourcing", "Traffic congestion" ], "cited_by_openalex": 2, "cited_by_scopus": 0, "eid": null, "pii": null, "open_access_url": "https://doi.org/10.1016/j.clscn.2025.100276", "sources": [ { "db": "openalex", "stream": "TRUCK", "query_id": "TRUCK-1" } ], "streams": [ "TRUCK" ], "relevance_signals": [ "TRUCK" ], "auto_exclude_reason": null, "screening_status": "pending_human_screening", "screened_by": "auto-v1.0.0" }, { "id": "doi:10.3390/urbansci10010010", "doi": "10.3390/urbansci10010010", "title": "Sustainable Urban Freight Optimization for Isobenefit Cities: Integrating Neural Networks and Graph Theory", "year": 2025, "authors": [ "Tarak Barhoumi", "Sami Jarboui", "Younes Boujelbene" ], "first_author": "Tarak Barhoumi", "venue": "Urban Science", "volume": "10", "pages": null, "type": "article", "language": "en", "abstract": "Urban logistics serves as a cornerstone for efficient freight transport and sustainable city development, particularly in contexts challenged by congestion and environmental pressures. This research examines the restructuring of the urban logistics system in Sfax, Tunisia—an expanding industrial and economic center increasingly burdened by traffic congestion. Through a comprehensive analytical framework, the study identifies the primary determinants influencing freight transport operations and develops a phased policy roadmap to enhance logistical efficiency. Neural Network Modeling is employed to evaluate the effects of multiple transport-related variables on logistics performance, while Graph Theory is utilized to represent spatial and functional interconnections, facilitating the visualization of freight flows and supporting evidence-based decision-making. The results emphasize the crucial role of managing truck circulation within Sfax’s urban core. Accordingly, a three-phase reorganization plan is proposed to optimize freight mobility, alleviate congestion, and advance sustainable urban growth. The methodological approach and policy insights offer practical guidance applicable to other metropolitan areas facing similar logistical challenges.", "keywords": [ "Metropolitan area", "Restructuring", "Traffic management", "Truck", "Traffic congestion", "Plan (archaeology)", "Cornerstone", "Supply chain", "Strategic planning" ], "cited_by_openalex": 2, "cited_by_scopus": "2", "eid": "2-s2.0-105028602251", "pii": null, "open_access_url": "https://www.mdpi.com/2413-8851/10/1/10/pdf", "sources": [ { "db": "openalex", "stream": "TRUCK", "query_id": "TRUCK-1" }, { "db": "scopus", "stream": "TRUCK", "query_id": "TRUCK-1" } ], "streams": [ "TRUCK" ], "relevance_signals": [ "TRUCK" ], "auto_exclude_reason": null, "screening_status": "pending_human_screening", "screened_by": "auto-v1.0.0" }, { "id": "doi:10.1016/j.trpro.2025.02.005", "doi": "10.1016/j.trpro.2025.02.005", "title": "Urban case studies on optimized truck-drone last-mile distribution", "year": 2025, "authors": [ "Rui Zhang", "Junfeng Xiao", "Florian M. Heinitz" ], "first_author": "Rui Zhang", "venue": "Transportation research procedia", "volume": "83", "pages": "19-27", "type": "article", "language": "en", "abstract": "Evaluating an urban/sub-urban freight transport system with targeted drone sorties from and in addition to delivery trucks at the micro level, we present a computational application of a single-truck, multiple-drones routing problem with self-developed heuristics for a set of real urban networks using a program solver. Results from five cities worldwide demonstrate by example that the new approach – compared to optimum road-based delivery – is more carbon and cost efficient, as it can save 43 to 51% in delivery time at a scale of 20 customer nodes. Further to this, a quantitative analysis of the impact of customer node aggregation and varying drone-to-truck speed ratios on the profitability and negative externalities of the collaborative delivery system is posed. In effect, the solution quality increases at a lower computational effort.", "keywords": [ "Drone", "Mile", "Truck", "Transport engineering", "Last mile (transportation)", "Aeronautics", "Engineering", "Environmental science", "Computer science", "Geography", "Automotive engineering", "Biology" ], "cited_by_openalex": 1, "cited_by_scopus": "2", "eid": "2-s2.0-105001166891", "pii": "S2352146525000079", "open_access_url": "https://doi.org/10.1016/j.trpro.2025.02.005", "sources": [ { "db": "openalex", "stream": "TRUCK", "query_id": "TRUCK-1" }, { "db": "openalex", "stream": "TRUCK", "query_id": "TRUCK-2" }, { "db": "openalex", "stream": "UAV", "query_id": "UAV-1" }, { "db": "openalex", "stream": "UAV", "query_id": "UAV-2" }, { "db": "scopus", "stream": "TRUCK", "query_id": "TRUCK-1" }, { "db": "scopus", "stream": "TRUCK", "query_id": "TRUCK-2" }, { "db": "scopus", "stream": "UAV", "query_id": "UAV-1" }, { "db": "scopus", "stream": "UAV", "query_id": "UAV-2" } ], "streams": [ "TRUCK", "UAV" ], "relevance_signals": [ "UAV", "TRUCK" ], "auto_exclude_reason": null, "screening_status": "pending_human_screening", "screened_by": "auto-v1.0.0" }, { "id": "doi:10.1080/17538947.2024.2449568", "doi": "10.1080/17538947.2024.2449568", "title": "Multi-objective optimization of urban logistics land: a gradient-based method approach with Wuhan city as an example", "year": 2025, "authors": [ "Hongzan Jiao", "Shuaikang Zhang" ], "first_author": "Hongzan Jiao", "venue": "International Journal of Digital Earth", "volume": "18", "pages": null, "type": "article", "language": "en", "abstract": "Effective planning of logistics land is crucial for mitigating urban freight congestion, fostering economic activities, and achieving environmental equilibrium. However, the dual challenge of mismatched logistics supply and demand, along with conflicts in land use functions, can lead to inefficiencies in resource allocation and urban freight system performance. To tackle this issue, our study integrates truck GPS trajectory data with urban land use datasets to formulate a multi-objective optimization model. By utilizing the gradient descent algorithm, which effectively handles large-scale datasets, we can navigate the complexities of logistics land planning with precision. The application of this model in the Wuhan Urban Development Area reveals that: (1) across various scenarios, the model balances the utilization of multiple optimization objectives and demonstrates high solution efficiency; (2) in both the equal weight scenario and the economic preference scenario, the areas of logistics land change are characterized by high economic output, relatively good traffic conditions, greater distance from residential zones, and comparatively low land prices; and (3) based on urban development goals, the model can determine the upper bounds of the optimization objectives through manual supervision of the selection of ideal points.", "keywords": [ "Geography", "Computer science", "Land use", "Cartography", "Environmental planning", "Regional science", "Civil engineering", "Engineering" ], "cited_by_openalex": 2, "cited_by_scopus": "2", "eid": "2-s2.0-85214936727", "pii": null, "open_access_url": "https://www.tandfonline.com/doi/pdf/10.1080/17538947.2024.2449568?needAccess=true", "sources": [ { "db": "openalex", "stream": "TRUCK", "query_id": "TRUCK-1" }, { "db": "scopus", "stream": "TRUCK", "query_id": "TRUCK-1" } ], "streams": [ "TRUCK" ], "relevance_signals": [ "TRUCK" ], "auto_exclude_reason": null, "screening_status": "pending_human_screening", "screened_by": "auto-v1.0.0" }, { "id": "doi:10.1016/j.tranpol.2025.103808", "doi": "10.1016/j.tranpol.2025.103808", "title": "A comprehensive framework for the assessment of the effects of increased electric truck weights on road infrastructure: A New York City case study", "year": 2025, "authors": [ "Zerun Liu", "Lan Tu", "Zilin Bian", "Jingqin Gao", "Kaan M. A. Özbay" ], "first_author": "Zerun Liu", "venue": "Transport Policy", "volume": "173", "pages": null, "type": "article", "language": "en", "abstract": null, "keywords": [ "Truck", "Context (archaeology)", "Bridge (graph theory)", "Transportation infrastructure", "Urban planning", "Battery (electricity)" ], "cited_by_openalex": 2, "cited_by_scopus": "2", "eid": "2-s2.0-105016567752", "pii": "S0967070X25003518", "open_access_url": "https://doi.org/10.1016/j.tranpol.2025.103808", "sources": [ { "db": "openalex", "stream": "TRUCK", "query_id": "TRUCK-1" }, { "db": "scopus", "stream": "TRUCK", "query_id": "TRUCK-1" } ], "streams": [ "TRUCK" ], "relevance_signals": [ "TRUCK_NO_CTX" ], "auto_exclude_reason": "EC-4-topic", "screening_status": "auto_excluded", "screened_by": "auto-v1.0.0" }, { "id": "doi:10.1061/jtepbs.teeng-8914", "doi": "10.1061/jtepbs.teeng-8914", "title": "Exploring Spatial Patterns of Intracity Heavy-Duty Truck Flows in Shanghai Using Large-Scale Trajectory Data: A VSTC-TPS Approach", "year": 2025, "authors": [ "Xinghua Li", "Tianzuo Wang", "Yuntao Guo" ], "first_author": "Xinghua Li", "venue": "Journal of Transportation Engineering Part A Systems", "volume": "152", "pages": null, "type": "article", "language": "en", "abstract": "Heavy-duty trucks (HDTs) are crucial to the logistics system, and understanding their activity patterns is key for improving logistics performance and addressing challenges in economic, environmental, and infrastructure planning. A critical first step is to pinpoint the specifics of HDT stops—when, where, how long, and why they occur. However, existing methods, whether based on vehicle trajectories or surveys, are limited in processing speed and/or accuracy. This paper proposes the velocity-originated spatio-temporal clustering of trajectory point sequences (VSTC-TPS) method, which effectively uses both spatial and temporal dimensions of GPS data while also having a self-adaptive threshold to account for the diversity in GPS data quality of different HDTs. This method was tested using a data set of 712 million GPS records from more than 100,000 HDTs, representing all HDT operations in Shanghai, China, over a single week. The VSTC-TPS method demonstrated superior performance in terms of speed and accuracy when compared with several existing methods, as validated by ground truth data. Additionally, a network community detection method is applied to the vehicle stops identified by VSTC-TPS as potential applications of this method, revealing significant logistical connections and distinct freight communities within Shanghai. The proposed VSTC-TPS method supports more informed decision making among stakeholders in the logistics sector and provides valuable insights that contribute to sustainable urban development and the welfare of city inhabitants. It offers a comprehensive tool for enhancing the efficiency of urban freight systems and reducing their environmental impact, thereby supporting the development of smarter, safer, and more sustainable cities.", "keywords": [ "Global Positioning System", "Trajectory", "Truck", "Cluster analysis", "Set (abstract data type)", "Key (lock)", "Point (geometry)", "Quality (philosophy)" ], "cited_by_openalex": 1, "cited_by_scopus": "2", "eid": "2-s2.0-105022754164", "pii": null, "open_access_url": "https://doi.org/10.1061/jtepbs.teeng-8914", "sources": [ { "db": "openalex", "stream": "TRUCK", "query_id": "TRUCK-1" }, { "db": "scopus", "stream": "TRUCK", "query_id": "TRUCK-1" } ], "streams": [ "TRUCK" ], "relevance_signals": [ "TRUCK" ], "auto_exclude_reason": null, "screening_status": "pending_human_screening", "screened_by": "auto-v1.0.0" }, { "id": "doi:10.1016/j.cie.2025.111523", "doi": "10.1016/j.cie.2025.111523", "title": "The flying sidekick traveling salesman problem with multiple drops: An effective heuristic approach", "year": 2025, "authors": [ "Sarah K. Schaumann", "Abhishake Kundu", "Juan C. Pina-Pardo", "Matthias Winkenbach", "Ricardo A. Gatica", "Stephan M. Wagner", "Timothy I. Matis" ], "first_author": "Sarah K. Schaumann", "venue": "Computers & Industrial Engineering", "volume": "210", "pages": null, "type": "article", "language": "en", "abstract": null, "keywords": [ "Drone", "Travelling salesman problem", "Heuristic", "Truck", "Stylized fact", "Payload (computing)", "2-opt" ], "cited_by_openalex": 4, "cited_by_scopus": "2", "eid": "2-s2.0-105016211340", "pii": "S0360835225006692", "open_access_url": "https://doi.org/10.1016/j.cie.2025.111523", "sources": [ { "db": "openalex", "stream": "TRUCK", "query_id": "TRUCK-1" }, { "db": "openalex", "stream": "UAV", "query_id": "UAV-1" }, { "db": "scopus", "stream": "TRUCK", "query_id": "TRUCK-1" }, { "db": "scopus", "stream": "UAV", "query_id": "UAV-1" }, { "db": "scopus", "stream": "UAV", "query_id": "UAV-2" } ], "streams": [ "TRUCK", "UAV" ], "relevance_signals": [ "UAV_NO_CTX", "TRUCK_NO_CTX" ], "auto_exclude_reason": "EC-4-topic", "screening_status": "auto_excluded", "screened_by": "auto-v1.0.0" }, { "id": "doi:10.1007/s00291-025-00818-x", "doi": "10.1007/s00291-025-00818-x", "title": "Collision-free trajectory planning for drones with velocity dependent energy consumption and moving piggyback vehicles", "year": 2025, "authors": [ "Alf Kimms", "Christin Münch" ], "first_author": "Alf Kimms", "venue": "OR Spectrum", "volume": "48", "pages": "461-508", "type": "article", "language": "en", "abstract": "Abstract In this work, we challenge the common assumption in truck-drone last-mile delivery that trucks and drones operate on a graph. Instead, we adopt a geometric approach, allowing the vehicles to operate in Euclidean space. Our proposed mixed-integer linear program determines a collision-free trajectory for a drone in the Euclidean space with obstacles, where the drone is launched and recovered by moving vehicles. Compared to graph-based approaches, the advantages are: (a) Flexible launching and recovery: The drone can be launched and recovered from any position along the streets, rather than being limited to discrete points (i.e., nodes of a graph). (b) Continuous drone velocity: The drone velocity is a continuous variable, and the drone energy consumption depends directly on its velocity. (c) No-fly zones and obstacles: Trajectory planning is incorporated to ensure a collision-free flight (rather than considering detours as a predefined parameter). To the best of our knowledge, such a geometric approach is new in truck-drone last-mile delivery. In our computational study we prove the usefulness of our geometric approach, as even large instances with up to 300 obstacles can be solved within reasonable computation time. In comparison to graph-based approaches, our geometric approach yields faster delivery times and enables the drone to reach customers that are out of its reach in graph-based approaches.", "keywords": [ "Drone", "Trajectory", "Computer science", "Collision", "Energy consumption", "Aeronautics", "Simulation", "Computer security", "Physics", "Electrical engineering", "Engineering" ], "cited_by_openalex": 1, "cited_by_scopus": "2", "eid": "2-s2.0-105005970454", "pii": null, "open_access_url": "https://link.springer.com/content/pdf/10.1007/s00291-025-00818-x.pdf", "sources": [ { "db": "openalex", "stream": "TRUCK", "query_id": "TRUCK-1" }, { "db": "openalex", "stream": "UAV", "query_id": "UAV-1" }, { "db": "scopus", "stream": "TRUCK", "query_id": "TRUCK-1" }, { "db": "scopus", "stream": "UAV", "query_id": "UAV-1" } ], "streams": [ "TRUCK", "UAV" ], "relevance_signals": [ "UAV", "TRUCK" ], "auto_exclude_reason": null, "screening_status": "pending_human_screening", "screened_by": "auto-v1.0.0" }, { "id": "doi:10.7307/ptt.v37i4.944", "doi": "10.7307/ptt.v37i4.944", "title": "Methodology of Choosing the Most Eco-Friendly Waste Collection Truck", "year": 2025, "authors": [ "Ondřej Stopka", "Vladimír Ľupták", "Mária Stopková", "Branislav Šarkan", "J Masek" ], "first_author": "Ondřej Stopka", "venue": "PROMET - Traffic&Transportation", "volume": "37", "pages": "874-887", "type": "article", "language": "en", "abstract": "The waste collection in the territory of urban agglomerations, as a part of city logistics approaches, has become one of the key topics due to growing demands for logistic operations in cities burdened by high traffic volumes, worsening the quality of life and the environment in cities. Congested traffic ails České Budějovice, especially during peak hours. Congestions should partially be avoided by the planned construction of new roads to divert transit traffic from the city centre. Despite these remedial measures, the current transport and logistic situation requires further improvement. The paper focuses on waste collection, which significantly affects the traffic flow in České Budějovice. Currently, the city uses costly CNG-propelled trucks, which release a lot of harmful emissions. The paper aims to consider and evaluate new approaches to waste collection that could work in compliance with ecological principles and sustainable urban development of cities. This matter embraces waste collection trucks propelled by hydrogen, electricity, biogas and CNG. In other words, the decision needs to be made on whether it makes sense to invest in up-to-date and sustainable technologies to fuel waste collection trucks in a territory under investigation. To this end, multicriteria decision-making methods are applied, namely, Saaty and Fuller methods – to quantify the criteria weights, and the PROMETHEE and the ORESTE methods – to identify a compromise (ideal) variant. The findings encompass the decision-making process and a draft methodology concerning the determination of rank of the considered waste collection trucks based on relevant criteria set identified by the expert evaluation.", "keywords": [ "Truck", "Environmentally friendly", "Waste collection", "Waste management", "Environmental science", "Engineering", "Municipal solid waste", "Automotive engineering" ], "cited_by_openalex": 0, "cited_by_scopus": "2", "eid": "2-s2.0-105011494964", "pii": null, "open_access_url": "https://traffic2.fpz.hr/index.php/PROMTT/article/download/944/246", "sources": [ { "db": "openalex", "stream": "TRUCK", "query_id": "TRUCK-1" }, { "db": "scopus", "stream": "TRUCK", "query_id": "TRUCK-1" } ], "streams": [ "TRUCK" ], "relevance_signals": [ "TRUCK" ], "auto_exclude_reason": null, "screening_status": "pending_human_screening", "screened_by": "auto-v1.0.0" }, { "id": "doi:10.2139/ssrn.5393526", "doi": "10.2139/ssrn.5393526", "title": "Dynamic Order Fulfillment in Last-Mile Drone Delivery Under Demand Uncertainty", "year": 2025, "authors": [ "Linxuan Shi", "Zhengtian Xu", "Miguel A. Lejeune", "Qi Luo" ], "first_author": "Linxuan Shi", "venue": "SSRN Electronic Journal", "volume": null, "pages": null, "type": "preprint", "language": "en", "abstract": null, "keywords": [ "Drone", "Mile", "Last mile (transportation)", "Order (exchange)", "Computer science", "Aeronautics", "Operations research", "Business", "Engineering", "Geography", "Finance" ], "cited_by_openalex": 2, "cited_by_scopus": 0, "eid": null, "pii": null, "open_access_url": "https://doi.org/10.2139/ssrn.5393526", "sources": [ { "db": "openalex", "stream": "TRUCK", "query_id": "TRUCK-1" }, { "db": "openalex", "stream": "UAV", "query_id": "UAV-1" }, { "db": "openalex", "stream": "UAV", "query_id": "UAV-2" } ], "streams": [ "TRUCK", "UAV" ], "relevance_signals": [ "UAV" ], "auto_exclude_reason": null, "screening_status": "pending_human_screening", "screened_by": "auto-v1.0.0" }, { "id": "doi:10.1016/j.seta.2025.104644", "doi": "10.1016/j.seta.2025.104644", "title": "Energetic, comparative analysis of package delivery by drones and e-vehicles", "year": 2025, "authors": [ "Dániel Rohács", "Utku Kale", "Artūras Kilikevičius", "József Rohács" ], "first_author": "Dániel Rohács", "venue": "Sustainable Energy Technologies and Assessments", "volume": "83", "pages": null, "type": "article", "language": "en", "abstract": null, "keywords": [ "Drone", "Payload (computing)", "Energy consumption", "Key (lock)", "Efficient energy use", "Work (physics)", "Energy conservation" ], "cited_by_openalex": 1, "cited_by_scopus": "2", "eid": "2-s2.0-105022249558", "pii": "S2213138825004758", "open_access_url": "https://doi.org/10.1016/j.seta.2025.104644", "sources": [ { "db": "openalex", "stream": "TRUCK", "query_id": "TRUCK-1" }, { "db": "openalex", "stream": "UAV", "query_id": "UAV-1" }, { "db": "scopus", "stream": "TRUCK", "query_id": "TRUCK-1" }, { "db": "scopus", "stream": "UAV", "query_id": "UAV-1" } ], "streams": [ "TRUCK", "UAV" ], "relevance_signals": [ "UAV" ], "auto_exclude_reason": null, "screening_status": "pending_human_screening", "screened_by": "auto-v1.0.0" }, { "id": "doi:10.3390/futuretransp5040188", "doi": "10.3390/futuretransp5040188", "title": "Regulatory Enablers and Stakeholders’ Acceptance in Defining Eco-Friendly Vehicle Logistics Solutions for Rome", "year": 2025, "authors": [ "Riccardo Erriu", "Bhavani Shankar Balla", "Edoardo Marcucci", "Valerio Gatta", "Antonio Comi", "Giuseppe Napoli", "Antonio Polimeni" ], "first_author": "Riccardo Erriu", "venue": "Future Transportation", "volume": "5", "pages": null, "type": "article", "language": "en", "abstract": "Urban freight generates a disproportionate share of urban externalities, yet the large-scale integration of eco-friendly vehicles (EFVs) remains limited. Barriers include high capital costs, inadequate charging/refuelling infrastructure, and fragmented governance frameworks. This article examines how regulatory structures and stakeholder alignment shape EFV adoption in Rome, analysing two pilot solutions: (i) a shared hub for electric and hydrogen freight vehicles, and (ii) a cargo-bike programme combining service-trip separation with reverse logistics. The methodological approach integrates a structured review of recent scholarship—organised in line with PRISMA guidance and enriched with bibliometric analysis—with empirical insights from five Living Lab workshops involving logistics providers, energy firms, technology suppliers, and industry associations. The findings highlight that progress depends less on technological capability than on policy mixes matched to stakeholder incentives. For the hub, decisive factors include siting, governance, and scale, while for cargo-bikes, reliability of dispatch, remuneration models, and certified training are critical. The study concludes that Rome’s path to freight decarbonisation requires regulatory and financial packages continuously tailored to actors’ operational priorities and behavioural responses.", "keywords": [ "Corporate governance", "Remuneration", "Stakeholder", "Certification", "Reliability (semiconductor)", "Stakeholder analysis", "Empirical research", "Capital (architecture)" ], "cited_by_openalex": 1, "cited_by_scopus": "2", "eid": "2-s2.0-105025945092", "pii": null, "open_access_url": "https://www.mdpi.com/2673-7590/5/4/188/pdf", "sources": [ { "db": "openalex", "stream": "TRUCK", "query_id": "TRUCK-1" }, { "db": "scopus", "stream": "TRUCK", "query_id": "TRUCK-1" } ], "streams": [ "TRUCK" ], "relevance_signals": [ "TRUCK" ], "auto_exclude_reason": null, "screening_status": "pending_human_screening", "screened_by": "auto-v1.0.0" }, { "id": "doi:10.37899/journallamultiapp.v6i6.2382", "doi": "10.37899/journallamultiapp.v6i6.2382", "title": "Literature Review on Vehicle Routing Problem: Approaches, Algorithms and Current Challenges", "year": 2025, "authors": [ "Mery Andani Pangaribuan", "Juliza Hidayati", "Harmein Nasution" ], "first_author": "Mery Andani Pangaribuan", "venue": "Journal La Multiapp", "volume": null, "pages": null, "type": "article", "language": "en", "abstract": "The Vehicle Routing Problem (VRP) is one of the basic combinatorial optimization problems that takes a central place in the sphere of logistics, transportation, and supply-chain management. A systematic literature review (SLR) of VRP scholarship dated 2000 to 2025 is conducted herein, where over 500,000 publications are analyzed to carry out the study of VRP solutions evolution and methodological advancements as well as their practical use. The results highlight the current popularity of metaheuristic algorithms, such as Ant Colony Optimization (ACO), Genetic Algorithms (GA), and Particle Swarm Optimization (PSO), in solving complex variants of VRP, in particular, the Capacitated Vehicle Routing Problem (CVRP) and the Vehicle Routing Problem with Time Windows (VRPTW). The combination of real-time data streams, machine-learning methods and adaptive algorithms represents a revolutionary track, and helps to develop more active and responsive VRP models. Moreover, increased attention to sustainability and green logistics has triggered the development of the eco-efficient VRP models, which combine the use of electric vehicles (EVs) and energy-consumption optimization. The spread of autonomous vehicles presents new opportunities and threats to future VRP solutions, particularly in the area of urban freight and last-mile delivery. In conclusion, the review outlines future streams of research, highlighting the need to find adaptive, sustainable, and autonomous VRP models that can resolve the growing complexities in the modern world of logistics.", "keywords": [ "Vehicle routing problem", "Metaheuristic", "Ant colony optimization algorithms", "Particle swarm optimization", "Routing (electronic design automation)", "Genetic algorithm", "Sustainability", "Popularity" ], "cited_by_openalex": 2, "cited_by_scopus": 0, "eid": null, "pii": null, "open_access_url": "https://newinera.com/index.php/JournalLaMultiapp/article/download/2382/2125", "sources": [ { "db": "openalex", "stream": "TRUCK", "query_id": "TRUCK-2" } ], "streams": [ "TRUCK" ], "relevance_signals": [ "NO_TECHNOLOGY_MATCH" ], "auto_exclude_reason": "EC-4-topic", "screening_status": "auto_excluded", "screened_by": "auto-v1.0.0" }, { "id": "doi:10.1002/cpe.70490", "doi": "10.1002/cpe.70490", "title": "A Q‐Learning Driven NSGA ‐ II for Vehicle Routing Problem With Service Quality and Resource Balance", "year": 2025, "authors": [ "Zhihao Yao", "Gang Chen", "Jiangyue Fu" ], "first_author": "Zhihao Yao", "venue": "Concurrency and Computation Practice and Experience", "volume": "38", "pages": null, "type": "article", "language": "en", "abstract": "ABSTRACT In urban delivery operations, service quality plays a key role in determining enterprise competitiveness, while balanced resource allocation is crucial for operational efficiency. However, few studies have investigated the factors that influence service quality and resource balance, or the trade‐offs between them. To fill this gap, this paper proposes a vehicle routing problem considering service quality and resource balance (VRPSQRB), in which stochastic quality rewards (SQR) capture the uncertain gains from differentiated service performance and develops a corresponding multiobjective mathematical model. Since the VRP is known to be an NP‐hard problem, solving it with three simultaneous objectives, namely cost, service quality, and resource balance, further increases its complexity. To address this challenge, we propose a Q‐learning driven NSGA‐II (QNSGA‐II) solution framework. In QNSGA‐II, a state representation tailored to the VRPSQRB is designed to help balance the three conflicting objectives. A hybrid strategy library, combining genetic and local search methods suited to the characteristics of VRPSQRB, is also developed. Q‐learning is used to select optimal combinations of strategies based on a multidimensional population state, enabling adaptive control beyond traditional hyperheuristic frameworks. Finally, QNSGA‐II is evaluated using Solomon benchmark datasets with customer sizes of 25, 50, and 100. The experimental results show that QNSGA‐II achieves average improvements of 11.46% in hypervolume (HV) and 20.20% in inverted generational distance (IGD) compared to baseline algorithms, demonstrating its efficiency and robustness.", "keywords": [ "Benchmark (surveying)", "Vehicle routing problem", "Resource allocation", "Key (lock)", "Quality of service", "Resource (disambiguation)", "Service quality", "Routing (electronic design automation)", "Population" ], "cited_by_openalex": 1, "cited_by_scopus": "2", "eid": "2-s2.0-105023825311", "pii": null, "open_access_url": "https://doi.org/10.1002/cpe.70490", "sources": [ { "db": "openalex", "stream": "TRUCK", "query_id": "TRUCK-2" }, { "db": "scopus", "stream": "TRUCK", "query_id": "TRUCK-2" } ], "streams": [ "TRUCK" ], "relevance_signals": [ "NO_TECHNOLOGY_MATCH" ], "auto_exclude_reason": "EC-4-topic", "screening_status": "auto_excluded", "screened_by": "auto-v1.0.0" }, { "id": "doi:10.5937/straman2400018b", "doi": "10.5937/straman2400018b", "title": "Designing efficient algorithms for logistics management: Optimizing time-constrained vehicle routing", "year": 2025, "authors": [ "Karlo Bala", "Dejan Brcanov", "Martin Fale", "Nebojša Gvozdenović", "Tomaž Kramberger" ], "first_author": "Karlo Bala", "venue": "Strategic Management", "volume": null, "pages": null, "type": "article", "language": "en", "abstract": "Background: City logistics is a critical component of urban economic development, as it optimizes supply chains, enhances customer satisfaction through reliable deliveries, and minimizes environmental impacts in densely populated areas. This field addresses various challenges, including traffic congestion, environmental concerns, noise pollution, and the crucial need for timely deliveries. Routing and scheduling are central to logistics operations, with modern software integrating time windows to meet precise scheduling demands driven by detailed customer requirements and operational efficiencies. Furthermore, advanced vehicle routing models now effectively simulate real-world factors such as traffic congestion, stochastic travel times, and dynamic product demands. Purpose: This paper aims to develop an algorithm that addresses the routing decisions. Our approach extends to the time dimension, considering travel times and customer service times within predefined time windows. Study design/methodology/approach: The proposed algorithm is structured to execute in iterative phases, aiming to optimize key logistical objectives. In order to generate competitive solutions, we seek to minimize the number of vehicles utilized and overall travel costs. The evaluation of solution space was conducted via Simulated Annealing. Findings/conclusions: The performance of the proposed algorithm, evaluated using the Gehring and Homberger benchmark instances for 200 customers, demonstrates its effectiveness. The algorithm successfully meets the target number of vehicles required, and the associated travel costs are on average within 1% of the best solutions reported in the relevant literature. Limitations/future research: Given the ongoing need for timely solutions from decision-makers, future research endeavors will focus on enhancing the computational efficiency of the algorithm. Additionally, incorporating more time-related features, such as stochastic travel times, could further improve the algorithm's real-time applicability.", "keywords": [ "Vehicle routing problem", "Computer science", "Routing (electronic design automation)", "Fleet management", "Routing algorithm", "Algorithm", "Computer network", "Routing protocol", "Telecommunications" ], "cited_by_openalex": 2, "cited_by_scopus": 0, "eid": null, "pii": null, "open_access_url": "https://scindeks-clanci.ceon.rs/data/pdf/1821-3448/8888/1821-34488800083B.pdf", "sources": [ { "db": "openalex", "stream": "TRUCK", "query_id": "TRUCK-2" } ], "streams": [ "TRUCK" ], "relevance_signals": [ "NO_TECHNOLOGY_MATCH" ], "auto_exclude_reason": "EC-4-topic", "screening_status": "auto_excluded", "screened_by": "auto-v1.0.0" }, { "id": "doi:10.1016/j.tranpol.2025.103917", "doi": "10.1016/j.tranpol.2025.103917", "title": "Urban spatial attributes and sustainability: Operational efficiency in urban freight delivery", "year": 2025, "authors": [ "Andrii Galkin", "Teresa Gajewska", "Mariia Olkhova", "Joris Beckers" ], "first_author": "Andrii Galkin", "venue": "Transport Policy", "volume": null, "pages": null, "type": "article", "language": "en", "abstract": null, "keywords": [ "Sustainability", "Urban sustainability", "Sustainable transport", "Performance indicator", "City logistics", "Index (typography)", "Urban planning", "Urban policy", "Resilience (materials science)" ], "cited_by_openalex": 2, "cited_by_scopus": 0, "eid": null, "pii": null, "open_access_url": "https://doi.org/10.1016/j.tranpol.2025.103917", "sources": [ { "db": "openalex", "stream": "TRUCK", "query_id": "TRUCK-2" } ], "streams": [ "TRUCK" ], "relevance_signals": [ "NO_TECHNOLOGY_MATCH" ], "auto_exclude_reason": "EC-4-topic", "screening_status": "auto_excluded", "screened_by": "auto-v1.0.0" }, { "id": "doi:10.1109/iscait64916.2025.11010309", "doi": "10.1109/iscait64916.2025.11010309", "title": "Smart City Logistics: Leveraging AI for Last-Mile Delivery Efficiency", "year": 2025, "authors": [ "Junbo Wang" ], "first_author": "Junbo Wang", "venue": "2025 4th International Symposium on Computer Applications and Information Technology Iscait 2025", "volume": null, "pages": "1196-1199", "type": "conference-paper", "language": "en", "abstract": "Urban environments face significant challenges in last-mile delivery, which is a crucial component of logistics. To address these challenges, we introduce a framework called Smart City Logistics, utilizing artificial intelligence (AI) to enhance delivery efficiency. The framework optimizes routing and improves resource allocation by analyzing real-time data from multiple sources, including traffic patterns and user preferences. The system employs machine learning algorithms for predictive analytics, enabling it to adjust in response to evolving demand. Furthermore, we investigate the integration of AI with advanced infrastructure, such as smart traffic signals and autonomous delivery drones, fostering a more agile delivery network. Case studies across various cities reveal substantial improvements in both delivery speed and operational costs, showcasing AI’s transformative impact on logistics and its potential for sustainable urban delivery solutions.", "keywords": [ "Last mile (transportation)", "Mile", "Computer science", "Geography" ], "cited_by_openalex": 2, "cited_by_scopus": "2", "eid": "2-s2.0-105010198084", "pii": null, "open_access_url": "https://doi.org/10.1109/iscait64916.2025.11010309", "sources": [ { "db": "openalex", "stream": "TRUCK", "query_id": "TRUCK-2" }, { "db": "openalex", "stream": "UAV", "query_id": "UAV-1" }, { "db": "scopus", "stream": "TRUCK", "query_id": "TRUCK-2" }, { "db": "scopus", "stream": "UAV", "query_id": "UAV-1" } ], "streams": [ "TRUCK", "UAV" ], "relevance_signals": [ "UAV" ], "auto_exclude_reason": null, "screening_status": "pending_human_screening", "screened_by": "auto-v1.0.0" }, { "id": "doi:10.1016/j.tre.2025.104541", "doi": "10.1016/j.tre.2025.104541", "title": "Strategic design of parcel locker networks for urban delivery", "year": 2025, "authors": [ "Ali Sabzevari Zadeh", "Iman Dayarian", "Mahdi Bashiri" ], "first_author": "Ali Sabzevari Zadeh", "venue": "Transportation Research Part E Logistics and Transportation Review", "volume": "206", "pages": null, "type": "article", "language": "en", "abstract": null, "keywords": [ "Network planning and design", "Context (archaeology)", "Software deployment", "Strategic planning", "Variable (mathematics)", "Service (business)", "Strategic design", "Operational planning", "Flow network" ], "cited_by_openalex": 1, "cited_by_scopus": "2", "eid": "2-s2.0-105044547346", "pii": "S1366554525005691", "open_access_url": "https://eprints.whiterose.ac.uk/id/eprint/235532/1/Parcel_Locker_LRP.pdf", "sources": [ { "db": "openalex", "stream": "TRUCK", "query_id": "TRUCK-2" }, { "db": "scopus", "stream": "TRUCK", "query_id": "TRUCK-2" } ], "streams": [ "TRUCK" ], "relevance_signals": [ "NO_TECHNOLOGY_MATCH" ], "auto_exclude_reason": "EC-4-topic", "screening_status": "auto_excluded", "screened_by": "auto-v1.0.0" }, { "id": "doi:10.52170/1815-9265_2025_74_94", "doi": "10.52170/1815-9265_2025_74_94", "title": "Multi-agent routing systems in urban transport management", "year": 2025, "authors": [ "V. I. Khabarov", "V. E. Kvashnin" ], "first_author": "V. I. Khabarov", "venue": "Вестник Сибирского государственного университета путей сообщения", "volume": null, "pages": null, "type": "article", "language": null, "abstract": "This paper investigates modern urban logistics problems related to the need to adapt the routes of different vehicles to the changing conditions of the urban environment. The main attention is paid to the many-to-many salesman problem (MTSP), which is formalized in a multi-agent setting (MATSP) with mandatory visits to dedicated loading/unloading points, since the problem posed in such a context allows us to consider scenarios close to those typical of urban distribution systems. The paper analyses different solution methods: evolutionary algorithms, swarm intelligence algorithms (bee swarm and ant colony) and simulated annealing algorithm. As part of the research conducted, a mathematical model of the MATSP problem is formulated to define the main constraints as well as the target function subjected to optimization. Further, comparative computational experiments are conducted for the multiple travelling salesman problem with drop-off points in order to determine the performance evaluation on test datasets with selected service areas. These experiments allow us to clearly identify the features of each algorithm, which provides a basis for determining the target algorithm depending on the input data. Special attention is paid to the classification of MATSP tasks, which contains the following classes: basic, balanced, dynamic and with dedicated loading/unloading points. Both static and dynamic aspects of the task are investigated, including online point addition and real-time route recalculation. The results of the study demonstrate the promise of using a multi-agent approach to solve urban routing problems, especially in the context of changing parameters and the need to respond quickly to changes.", "keywords": [ "Travelling salesman problem", "Simulated annealing", "Vehicle routing problem", "Context (archaeology)", "Particle swarm optimization", "Ant colony optimization algorithms", "Swarm behaviour", "Routing (electronic design automation)", "Task (project management)" ], "cited_by_openalex": 2, "cited_by_scopus": 0, "eid": null, "pii": null, "open_access_url": "https://doi.org/10.52170/1815-9265_2025_74_94", "sources": [ { "db": "openalex", "stream": "TRUCK", "query_id": "TRUCK-2" } ], "streams": [ "TRUCK" ], "relevance_signals": [ "NO_TECHNOLOGY_MATCH" ], "auto_exclude_reason": "EC-4-topic", "screening_status": "auto_excluded", "screened_by": "auto-v1.0.0" }, { "id": "doi:10.3390/math13203243", "doi": "10.3390/math13203243", "title": "Solving a Multi-Depot Battery Swapping Cabinet Location-Routing Problem with Time Windows via a Heuristic-Enhanced Branch-and-Price Algorithm", "year": 2025, "authors": [ "Yongtong Chen", "Haojie Zheng", "Shuzhu Zhang" ], "first_author": "Yongtong Chen", "venue": "Mathematics", "volume": "13", "pages": null, "type": "article", "language": "en", "abstract": "On-demand urban delivery increasingly relies on electric delivery bicycles (EDBs), yet their limited battery capacity creates coupled challenges of routing efficiency and energy replenishment. We study a novel battery swapping cabinet location-routing problem (BSC-LRP) with multiple depots, which jointly optimizes routing and modular energy infrastructure deployment under time-window and battery constraints. To address the problem’s complexity, we design an improved branch-and-price algorithm enhanced with adaptive heuristic-exact labeling (IBP-HL) and a robust arc-based branching scheme. This hybrid framework accelerates column generation while preserving exactness, representing a methodological advancement over standard B&P approaches. Computational experiments on modified Solomon instances show that IBP-HL consistently outperforms Gurobi in both runtime and solution quality on small cases, and achieves substantial speedups and improved bounds over baseline B&P on medium and large cases. These results demonstrate not only the scalability of IBP-HL but also its practical relevance: the framework provides decision support for operators and planners in designing cost-efficient, reliable, and sustainable last-mile delivery systems with battery-swapping infrastructure.", "keywords": [ "Scalability", "Modular design", "Software deployment", "Column generation", "Battery (electricity)", "Routing (electronic design automation)", "Baseline (sea)" ], "cited_by_openalex": 2, "cited_by_scopus": "2", "eid": "2-s2.0-105020989001", "pii": null, "open_access_url": "https://www.mdpi.com/2227-7390/13/20/3243/pdf?version=1760090060", "sources": [ { "db": "openalex", "stream": "TRUCK", "query_id": "TRUCK-2" }, { "db": "scopus", "stream": "TRUCK", "query_id": "TRUCK-2" } ], "streams": [ "TRUCK" ], "relevance_signals": [ "NO_TECHNOLOGY_MATCH" ], "auto_exclude_reason": "EC-4-topic", "screening_status": "auto_excluded", "screened_by": "auto-v1.0.0" }, { "id": "doi:10.1016/j.jpubtr.2025.100133", "doi": "10.1016/j.jpubtr.2025.100133", "title": "A framework to organize public transport-based crowdshipping", "year": 2025, "authors": [ "Meijing Zhang", "Lynette W. Cheah" ], "first_author": "Meijing Zhang", "venue": "Journal of Public Transportation", "volume": "27", "pages": null, "type": "article", "language": "en", "abstract": "Crowdshipping is an urban freight solution that involves members of the public to fulfill parcel deliveries, ideally along their precommitted journeys. This paper proposes a comprehensive framework to organize public transport-based crowdshipping by integrating the use of parcel lockers. This approach allows transit passengers to serve as crowdshippers, ensuring that parcel delivery demand aligns with crowdshipper availability, while considering locker capacity constraints. The framework involves formulating and solving parcel assignment and vehicle routing problems, incorporating matching for parcels and lockers, and using an iterative heuristic algorithm for optimal locker selection. The feasibility of the framework is demonstrated using real-world data, revealing significant benefits. With crowdshipping, a carrier can reduce delivery vehicle kilometers traveled (VKT) and associated air emissions by up to 30%. This reduction only requires redirecting less than 9% of parcels to crowdshippers. Crowdshipping utilizing public transport has good potential to fulfill urban deliveries in a sustainable manner.", "keywords": [ "Public transport", "Computer science", "Process management", "Business", "Transport engineering", "Engineering" ], "cited_by_openalex": 1, "cited_by_scopus": "2", "eid": "2-s2.0-105013513214", "pii": "S1077291X25000189", "open_access_url": "https://doi.org/10.1016/j.jpubtr.2025.100133", "sources": [ { "db": "openalex", "stream": "TRUCK", "query_id": "TRUCK-2" }, { "db": "scopus", "stream": "TRUCK", "query_id": "TRUCK-2" } ], "streams": [ "TRUCK" ], "relevance_signals": [ "NO_TECHNOLOGY_MATCH" ], "auto_exclude_reason": "EC-4-topic", "screening_status": "auto_excluded", "screened_by": "auto-v1.0.0" }, { "id": "doi:10.3390/su172411308", "doi": "10.3390/su172411308", "title": "Urban Pickup-and-Delivery VRP with Soft Time Windows Under Travel-Time Uncertainty: An Empirical Comparison of Robust and Deterministic Approaches", "year": 2025, "authors": [ "Daniel Kubek" ], "first_author": "Daniel Kubek", "venue": "Sustainability", "volume": "17", "pages": null, "type": "article", "language": "en", "abstract": "Urban freight pickup-and-delivery services operate in road networks where travel times are highly variable due to congestion, incidents, and operational restrictions. Such variability threatens the punctuality of deliveries and complicates the design of reliable service schedules. This paper examines an urban pickup-and-delivery vehicle routing problem with soft time windows under travel-time uncertainty and provides an empirical comparison of robust and deterministic planning approaches on a real road network. The problem is formulated as a time-dependent pickup-and-delivery VRP with soft time windows, where link travel times are represented by a finite set of scenarios calibrated from observed network conditions. The objective function combines four components that are central to urban freight operations: total travel time, total distance, and penalties for earliness and lateness relative to customer time windows. This structure captures the trade-off between routing efficiency and service quality. On this basis, a robust model is constructed that optimises tour plans with respect to scenario-based worst-case or risk-aggregated costs, while a standard deterministic model minimises the same objective using nominal (average) travel times only. An empirical study on a real urban network compares the deterministic and robust solutions with respect to delivery punctuality, tour length, and time-window violations across a range of demand and variability settings. The results show that robust routing systematically reduces the frequency and magnitude of late deliveries at the expense of only moderate increases in planned distance and travel time. Although energy use and emissions are not modelled explicitly, the improved reliability and reduced need for reactive re-routing indicate a potential to support more reliable and resource-efficient urban freight operations in the context of sustainable city logistics.", "keywords": [ "Punctuality", "Vehicle routing problem", "Reliability (semiconductor)", "Range (aeronautics)", "Routing (electronic design automation)", "Variable (mathematics)", "Set (abstract data type)" ], "cited_by_openalex": 1, "cited_by_scopus": "2", "eid": "2-s2.0-105025965456", "pii": null, "open_access_url": "https://www.mdpi.com/2071-1050/17/24/11308/pdf?version=1765967760", "sources": [ { "db": "openalex", "stream": "TRUCK", "query_id": "TRUCK-2" }, { "db": "scopus", "stream": "TRUCK", "query_id": "TRUCK-2" } ], "streams": [ "TRUCK" ], "relevance_signals": [ "NO_TECHNOLOGY_MATCH" ], "auto_exclude_reason": "EC-4-topic", "screening_status": "auto_excluded", "screened_by": "auto-v1.0.0" }, { "id": "doi:10.4271/2025-01-8602", "doi": "10.4271/2025-01-8602", "title": "Coupled Routing and Charge Schedule Optimization of Electrified Delivery Truck Fleets: Feasibility Analyses", "year": 2025, "authors": [ "Yared Tadesse Wendimagegnehu", "Beshah Ayalew", "Andrej Ivančo", "Habtamu Hailemichael" ], "first_author": "Yared Tadesse Wendimagegnehu", "venue": "SAE technical papers on CD-ROM/SAE technical paper series", "volume": null, "pages": null, "type": "conference-paper", "language": "en", "abstract": "Electrifying truck fleets has the potential to improve energy efficiency and reduce carbon emissions from the freight transportation sector. However, the range limitations and substantial capital costs with current battery technologies imposes constraints that challenge the overall cost feasibility of electrifying fleets for logistics companies. In this paper, we investigate the coupled routing and charge scheduling optimization of a delivery fleet serving a large urban area as one approach to discovering feasible pathways. To this end, we first build an improved energy consumption model for a Class 7-8 electric and diesel truck using a data-driven approach of generating energy consumption data from detailed powertrain simulations on numerous drive cycles. We then conduct several analyses on the impact of battery pack capacity, cost, and electricity prices on the amortized daily total cost of fleet electrification at different penetration levels, considering availability of fast charging at the depot. Findings indicate that at typical energy density of current battery technology, there is an optimal battery pack capacity that results from the contradicting effects of increasing pack capacity on cost, life span, weight and energy consumption. It is also observed that with currently improving trends in battery pack costs and availability of reduced electricity prices at the depot, such as with renewable microgrids, fleet electrification can become viable even at low levels of penetration.", "keywords": [ "Truck", "Schedule", "Automotive engineering", "Vehicle routing problem", "Routing (electronic design automation)", "Charge (physics)", "Computer science", "Transport engineering", "Engineering", "Computer network", "Physics" ], "cited_by_openalex": 2, "cited_by_scopus": "2", "eid": "2-s2.0-105008218182", "pii": null, "open_access_url": "https://arxiv.org/pdf/2606.00792", "sources": [ { "db": "openalex", "stream": "TRUCK", "query_id": "TRUCK-3" }, { "db": "scopus", "stream": "TRUCK", "query_id": "TRUCK-3" } ], "streams": [ "TRUCK" ], "relevance_signals": [ "TRUCK_NO_CTX" ], "auto_exclude_reason": "EC-4-topic", "screening_status": "auto_excluded", "screened_by": "auto-v1.0.0" }, { "id": "doi:10.1016/j.eswa.2025.129849", "doi": "10.1016/j.eswa.2025.129849", "title": "Truck scheduling optimization at a cold chain cross-docking terminal considering uncertainties and the door-mixed service mode", "year": 2025, "authors": [ "Feifeng Zheng", "Yuzhi Yi", "Ming Liu", "Huaxin Qiu" ], "first_author": "Feifeng Zheng", "venue": "Expert Systems with Applications", "volume": "298", "pages": null, "type": "article", "language": "en", "abstract": null, "keywords": [ "Cold chain", "Truck", "Scheduling (production processes)", "Cluster analysis", "Genetic algorithm", "Sensitivity (control systems)", "Stochastic programming", "Job shop scheduling" ], "cited_by_openalex": 3, "cited_by_scopus": "2", "eid": "2-s2.0-105020596203", "pii": "S0957417425034645", "open_access_url": "https://doi.org/10.1016/j.eswa.2025.129849", "sources": [ { "db": "openalex", "stream": "TRUCK", "query_id": "TRUCK-3" }, { "db": "scopus", "stream": "TRUCK", "query_id": "TRUCK-3" } ], "streams": [ "TRUCK" ], "relevance_signals": [ "TRUCK_NO_CTX" ], "auto_exclude_reason": "EC-4-topic", "screening_status": "auto_excluded", "screened_by": "auto-v1.0.0" }, { "id": "doi:10.1016/j.tra.2025.104712", "doi": "10.1016/j.tra.2025.104712", "title": "Battery electric truck deployment, collaborative routing, and charging infrastructure: towards a sustainable freight movement system", "year": 2025, "authors": [ "Carlos Otero-Palencia", "Miguel Jaller", "René Amaya–Mier", "Joaquín Meza" ], "first_author": "Carlos Otero-Palencia", "venue": "Transportation Research Part A Policy and Practice", "volume": "203", "pages": null, "type": "article", "language": "en", "abstract": "• This work explores the impact of collaborative practices on truck transportation. • Evaluates electric vehicle range, costs, and charging infrastructure requirements. • Introduces a novel variant of the electric vehicle routing problem. • Models deployment of electric trucks and infrastructure coverage scenarios. • Discusses policy implications considering economic and technical challenges. Government agencies worldwide have increasingly promoted cleaner vehicle technologies, such as battery electric and fuel cell electric, through incentives and regulatory mechanisms designed to discourage the use of internal combustion engine (ICE) trucks. Battery electric trucks (BETs) represent a promising pathway to reduce freight-related emissions. Yet, their adoption, in many applications, remains limited by high capital costs, scarce charging infrastructure, and operational constraints that diminish economic viability, particularly for small and medium-sized enterprises (SMEs). This study examines how collaborative logistics practices can enhance the efficiency and cost-effectiveness of freight operations, especially for Class 8 trucks in middle-mile and long-haul segments, and provides policy recommendations to address barriers to BET adoption. It introduces a mathematical framework to evaluate a collaborative electric vehicle routing problem (eVRP) with multiple depots and hybrid fleets combining ICE and BET vehicles, subject to heterogeneous pickups and deliveries, technological, operational, and customer time-window constraints. The study developed a genetic algorithm (GA)–based metaheuristic with a scenario simulator to assess the performance of policy and infrastructure scenarios, using California as a case study. The analysis quantifies the effects of collaboration, technological limitations of BETs (e.g., range and payload capacity), market penetration (e.g., the number of BETs in the fleet), and charging infrastructure coverage (e.g., station density). It also evaluates the impact of subsidy and penalty-based policy instruments. Results demonstrate that collaborative operations can generate substantial cost and emission reductions, highlighting the trade-offs between vehicle specifications and infrastructure availability, particularly when charging station spacing averages 60–100 miles. The findings offer practical guidance for designing sustainable freight policies and strategies in California and comparable regions.", "keywords": [ "Truck", "Electric vehicle", "Software deployment", "Market penetration", "Battery electric vehicle", "Incentive", "Battery (electricity)", "Charging station", "Electric motor", "Automotive industry" ], "cited_by_openalex": 0, "cited_by_scopus": "2", "eid": "2-s2.0-105020905761", "pii": "S0965856425003453", "open_access_url": "https://doi.org/10.1016/j.tra.2025.104712", "sources": [ { "db": "openalex", "stream": "TRUCK", "query_id": "TRUCK-3" }, { "db": "scopus", "stream": "TRUCK", "query_id": "TRUCK-3" } ], "streams": [ "TRUCK" ], "relevance_signals": [ "TRUCK_NO_CTX" ], "auto_exclude_reason": "EC-4-topic", "screening_status": "auto_excluded", "screened_by": "auto-v1.0.0" }, { "id": "doi:10.3390/app15115937", "doi": "10.3390/app15115937", "title": "An Improved Large Neighborhood Search Algorithm for the Comprehensive Container Drayage Problem with Diverse Transport Requests", "year": 2025, "authors": [ "Xuhui Yu", "Cong He" ], "first_author": "Xuhui Yu", "venue": "Applied Sciences", "volume": "15", "pages": null, "type": "article", "language": "en", "abstract": "Container drayage, as a pivotal element of door-to-door intermodal transportation, has garnered increasing attention due to its significant influence on container logistics costs. Although various types of transport requests have been defined in the literature, no comprehensive study has addressed all of them together yet, due to the lack of an efficient model and corresponding algorithms. Furthermore, existing research on container drayage often neglects the simultaneous incorporation of two trucking operation modes, two empty container repositioning strategies, and the availability of empty containers across multiple depots. To address these issues, this study proposes a comprehensive container drayage problem (CDP) and mathematically formulates it as an innovative mixed integer linear programming (MILP) model, capturing the uncertainty and unpredictability inherent in empty container allocation, truck dispatching, and route planning. Given the problem’s complexity, obtaining an exact solution for large instances is not feasible. Therefore, an improved large neighborhood search (LNS) algorithm is tailored by incorporating the “Sequential insertion” and the “Solution re-optimization” operations. Extensive numerical experiments using randomly generated instances of varying scales validate the correctness of the proposed model and demonstrate the performance of the proposed algorithm. Additionally, sensitivity analysis on the number and distribution of depots and empty containers offers valuable managerial insights for the development of an effective container drayage system.", "keywords": [ "Container (type theory)", "Computer science", "Algorithm", "Engineering" ], "cited_by_openalex": 2, "cited_by_scopus": "2", "eid": "2-s2.0-105007707415", "pii": null, "open_access_url": "https://www.mdpi.com/2076-3417/15/11/5937/pdf?version=1748159135", "sources": [ { "db": "openalex", "stream": "TRUCK", "query_id": "TRUCK-3" }, { "db": "scopus", "stream": "TRUCK", "query_id": "TRUCK-3" } ], "streams": [ "TRUCK" ], "relevance_signals": [ "TRUCK_NO_CTX" ], "auto_exclude_reason": "EC-4-topic", "screening_status": "auto_excluded", "screened_by": "auto-v1.0.0" }, { "id": "doi:10.1080/01605682.2025.2489130", "doi": "10.1080/01605682.2025.2489130", "title": "A load and time-dependent hazardous materials distribution problem in urban areas", "year": 2025, "authors": [ "Eleni Karouti", "Konstantinos N. Androutsopoulos", "Konstantinos G. Zografos" ], "first_author": "Eleni Karouti", "venue": "Journal of the Operational Research Society", "volume": "77", "pages": "516-538", "type": "article", "language": "en", "abstract": "The objective of this paper is to model and solve the hazardous materials distribution problem in which a set of orders is serviced by a heterogeneous fleet of tank trucks. The objective of the problem is to determine the delivery routes of the trucks so that all the orders are serviced at the minimum traversed distance and transportation risk. A new transportation risk measure is proposed, which takes into account: (i) the population exposed within a load-dependent, impacted area around the truck, and (ii) the travel speed of the vehicle. Moreover, the proposed problem incorporates the effect of the scheduling of the loading operations performed at the depot into the routing problem. The proposed problem is modeled by a bi-objective vehicle routing and scheduling problem, which apart from determining delivery routes, deals simultaneously with the scheduling of the loading operations at the depot. To address the bi-objective routing and scheduling problem, we have developed an NSGA-II algorithm, known as a non-dominated sorting genetic algorithm, with various novel features. The results of the performed experiments indicate that the proposed risk measure substantially reduces the duration that the population stays under the risk of a HazMat shipment.", "keywords": [ "Hazardous waste", "Scheduling (production processes)", "Distribution (mathematics)", "Computer science", "Operations research", "Environmental science", "Civil engineering", "Engineering", "Waste management", "Operations management", "Mathematics" ], "cited_by_openalex": 2, "cited_by_scopus": "2", "eid": "2-s2.0-105002965873", "pii": null, "open_access_url": "https://eprints.lancs.ac.uk/id/eprint/229153/1/A_Load_and_Time_dependent_Hazardous_Materials_Distribution_Problem_in_Urban_Areas_6_Final_1_.pdf", "sources": [ { "db": "openalex", "stream": "TRUCK", "query_id": "TRUCK-3" }, { "db": "scopus", "stream": "TRUCK", "query_id": "TRUCK-3" } ], "streams": [ "TRUCK" ], "relevance_signals": [ "TRUCK_NO_CTX" ], "auto_exclude_reason": "EC-4-topic", "screening_status": "auto_excluded", "screened_by": "auto-v1.0.0" }, { "id": "doi:10.1016/j.asoc.2025.114530", "doi": "10.1016/j.asoc.2025.114530", "title": "Multiple equipment scheduling and routing for container terminals using quantum-inspired deep learning", "year": 2025, "authors": [ "Le Ngoc Bao Long", "Sam–Sang You", "Hwan–Seong Kim", "Truong Ngoc Cuong", "Duy Anh Nguyen", "Nguyen Duy Tan" ], "first_author": "Le Ngoc Bao Long", "venue": "Applied Soft Computing", "volume": "189", "pages": null, "type": "article", "language": "en", "abstract": null, "keywords": [ "Scheduling (production processes)", "Straddle", "Robustness (evolution)", "Reinforcement learning", "Metaheuristic", "Container (type theory)", "Yard", "Job shop scheduling" ], "cited_by_openalex": 1, "cited_by_scopus": "2", "eid": "2-s2.0-105025799512", "pii": "S1568494625018435", "open_access_url": "https://doi.org/10.1016/j.asoc.2025.114530", "sources": [ { "db": "openalex", "stream": "TRUCK", "query_id": "TRUCK-3" }, { "db": "scopus", "stream": "TRUCK", "query_id": "TRUCK-3" } ], "streams": [ "TRUCK" ], "relevance_signals": [ "NO_TECHNOLOGY_MATCH" ], "auto_exclude_reason": "EC-4-topic", "screening_status": "auto_excluded", "screened_by": "auto-v1.0.0" }, { "id": "doi:10.1016/j.cie.2025.111735", "doi": "10.1016/j.cie.2025.111735", "title": "Battery drones versus hydrogen fuel cell drones for last-mile delivery", "year": 2025, "authors": [ "Jayasurya Ragupati", "Srinjoy Chatterjee", "Byeongmok Kim", "Seokcheon Lee" ], "first_author": "Jayasurya Ragupati", "venue": "Computers & Industrial Engineering", "volume": "212", "pages": null, "type": "article", "language": "en", "abstract": null, "keywords": [ "Drone", "Battery (electricity)", "Fuel cells", "Hydrogen", "Fuel tank" ], "cited_by_openalex": 1, "cited_by_scopus": "2", "eid": "2-s2.0-105023959131", "pii": "S0360835225008812", "open_access_url": "https://doi.org/10.1016/j.cie.2025.111735", "sources": [ { "db": "openalex", "stream": "UAV", "query_id": "UAV-1" }, { "db": "scopus", "stream": "TRUCK", "query_id": "TRUCK-1" }, { "db": "scopus", "stream": "TRUCK", "query_id": "TRUCK-3" }, { "db": "scopus", "stream": "UAV", "query_id": "UAV-1" } ], "streams": [ "TRUCK", "UAV" ], "relevance_signals": [ "UAV" ], "auto_exclude_reason": null, "screening_status": "pending_human_screening", "screened_by": "auto-v1.0.0" }, { "id": "doi:10.1007/978-3-031-92251-0_7", "doi": "10.1007/978-3-031-92251-0_7", "title": "Cooperative Use of Truck—Multi-Trip Drones in Last-Mile Logistics Combined Operations: A Brief Review", "year": 2025, "authors": [ "David Sánchez-Wells", "Pedro Luis González Rodríguez", "José Luis Andrade-Pineda" ], "first_author": "David Sánchez-Wells", "venue": "Lecture notes in management and industrial engineering", "volume": null, "pages": null, "type": "book-chapter", "language": "en", "abstract": null, "keywords": [ "Drone", "Truck", "Humanitarian Logistics" ], "cited_by_openalex": 2, "cited_by_scopus": 0, "eid": null, "pii": null, "open_access_url": "https://doi.org/10.1007/978-3-031-92251-0_7", "sources": [ { "db": "openalex", "stream": "UAV", "query_id": "UAV-1" } ], "streams": [ "UAV" ], "relevance_signals": [ "UAV", "TRUCK" ], "auto_exclude_reason": null, "screening_status": "pending_human_screening", "screened_by": "auto-v1.0.0" }, { "id": "doi:10.34047/sj/20251102", "doi": "10.34047/sj/20251102", "title": "The Role of Artificial Intelligence in Last Mile Delivery", "year": 2025, "authors": [ "Hirendra M. Soni", "Rajesh Chouksey" ], "first_author": "Hirendra M. Soni", "venue": "MET Srujan", "volume": null, "pages": null, "type": "article", "language": "en", "abstract": "The emergence of artificial intelligence (AI) offers possibilities to transform last mile delivery operations. It offers various solutions to long-standing challenges in logistics while meeting the increasing demands of consumers. The paper presents a review of the role directly played by AI in the optimisation of last-mile delivery, analysed from the studies available, major applications, benefits, challenges, and futuristic trends. This paper further describes how AI enables predictive analytics through demand forecasting, algorithms for route optimisation, modes of last mile delivery involving autonomous vehicles and drones, customer communication systems, and inventory management. Case studies of the industry leaders like Amazon, FedEx, and DHL, have indicated some salient benefits namely cost reduction, enhanced customer satisfaction, and improved efficiency. However, challenges persist, such as data security, high costs of implementation, and difficulties in having the same rules and regulations met by individual companies. The paper points to the possibility of various developing technologies, including federated learning and edge AI, that can be looked at as possible solutions. There are also suggestions in relation to policy formulation and strategies which companies in last-mile logistics can update to foster the adoption of AI. Noteworthy points are also contained for industry players and policy makers, related to leveraging AI and the attendant challenges, to drive effective transformation of last mile delivery.", "keywords": [ "Mile", "Computer science", "Geography", "Geodesy" ], "cited_by_openalex": 2, "cited_by_scopus": 0, "eid": null, "pii": null, "open_access_url": "https://metsrujan.com/index.php/description/article/download/9/9/31", "sources": [ { "db": "openalex", "stream": "UAV", "query_id": "UAV-1" } ], "streams": [ "UAV" ], "relevance_signals": [ "UAV" ], "auto_exclude_reason": null, "screening_status": "pending_human_screening", "screened_by": "auto-v1.0.0" }, { "id": "doi:10.30574/ijsra.2025.14.2.0404", "doi": "10.30574/ijsra.2025.14.2.0404", "title": "Lean in logistics through autonomous last-mile delivery", "year": 2025, "authors": [ "Olakunle Abimbola Kumuyi" ], "first_author": "Olakunle Abimbola Kumuyi", "venue": "International Journal of Science and Research Archive", "volume": null, "pages": null, "type": "article", "language": "en", "abstract": "Efficient last-mile delivery is essential in modern commerce, yet it poses challenges in timeliness, cost-effectiveness, and customer satisfaction. Between 41% and 53% of supply chain expenses, particularly in the United States, are attributed to this final leg. Autonomous technology, with its complex algorithms and driverless vehicles, is capable of revolutionizes last-mile delivery by optimizing routing and scheduling, reducing labor costs, and ensuring the fastest delivery routes. Real-time inventory management can further integrate lean principles into last-mile delivery, and therefore enhancing operational efficiency. This project explores the synergy between autonomous technology and lean concepts, aiming to eliminate non-value-added tasks, maximize resource utilization, and enhance overall efficiency, in terms of travel time reduction, with focuses specifically on develop countries with supporting technologies to support autonomous vehicles and robot technologies infrastructures in place. The research focused on leveraging available traffic data from autonomous technology can enable continuous improvement, enhancing productivity and customer satisfaction. Additionally, incorporating autonomous technology can enhance the reliability and safety of last-mile delivery operations through cost reduction, time reduction, and route flexibility. This research primarily examines the impact of traffic lights on traditional delivery vans, using New York City streets as a case study. A comprehensive model has been developed to quantify the cost implications of traffic light delays, providing a structured method to evaluate these inefficiencies. The model offers a practical approach that can be applied globally users simply need to input relevant parameters, and the system will compute the time, cost, and overall impact of such delays. Additionally, the study highlights the advantages of autonomous delivery systems, particularly drones, over conventional delivery methods. By utilizing this model, businesses and policymakers can make data-driven decisions to optimize last-mile logistics and enhance delivery efficiency. Recommendations include utilizing autonomous technology to meet environmental preservation requirements and offering eco-friendly delivery options. The convergence of lean principles and autonomous technologies offers transformative opportunities, enabling businesses to fulfill consumer demands, reduce costs, operate sustainably, and enhance efficiency.", "keywords": [ "Mile", "Last mile (transportation)", "Business", "Operations management", "Engineering", "Geography" ], "cited_by_openalex": 2, "cited_by_scopus": 0, "eid": null, "pii": null, "open_access_url": "https://journalijsra.com/sites/default/files/fulltext_pdf/IJSRA-2025-0404.pdf", "sources": [ { "db": "openalex", "stream": "UAV", "query_id": "UAV-1" } ], "streams": [ "UAV" ], "relevance_signals": [ "UAV" ], "auto_exclude_reason": null, "screening_status": "pending_human_screening", "screened_by": "auto-v1.0.0" }, { "id": "doi:10.56578/mits040402", "doi": "10.56578/mits040402", "title": "Safety Risk Factors of Urban Logistics Drone Delivery in the Context of the Low-Altitude Economy", "year": 2025, "authors": [ "Yuanyuan Zhang", "Xianglong Li", "Nuoning Zheng", "Yuxin Xue" ], "first_author": "Yuanyuan Zhang", "venue": "Mechatronics and intelligent transportation systems", "volume": "4", "pages": "180-197", "type": "article", "language": null, "abstract": "This study analyzes the safety risk transmission mechanism in urban logistics drone last-mile delivery within the policy-driven low-altitude economy.To address the limitations of traditional risk identification methods, which rely heavily on accident data, this research integrates the Fuzzy Decision Analysis Laboratory Method (Fuzzy-DEMATEL),Interpretive Structural Modeling (ISM), and the Matrix of Cross-Impact Multiplication (MICMAC) to construct a three-dimensional analytical framework based on causal relationships, structural hierarchy, and attribute classification.First, Fuzzy-DEMATEL is employed to quantify the strength of causal relationships among risk factors.Next, ISM is used to deconstruct the multi-level hierarchical network and identify fundamental causes within the risk system.Finally, MICMAC is applied to calculate the dependencies and driving forces of each influencing factor, helping prioritize risk governance measures.The research findings indicate that: (1) The safety risk system of urban logistics drones for last-mile delivery exhibits a \"dual-core driven -multi-loop coupled\" characteristic.Equipment failures act as the physical carriers of systemic failures, while the root-cause risks stem from institutional factors such as inadequate pre-service training and violations of laws and regulations.(2) The risk hierarchy follows a pyramid-shaped transmission path, with risks propagating from the root layer to the surface in successive layers.Open airspace serves as an accelerator, transforming environmental disturbances into institutional defects, which in turn lead to technical failures.(3) The dependency attributes of each factor indicate the priority order for risk prevention and control: management leverage points serve as the strategic control core, the environment-technology interaction network is central to joint prevention, standardized processes solidify basic operations, and systemic risk levels are reduced.", "keywords": [ "Context (archaeology)", "Drone", "Risk management", "Key (lock)" ], "cited_by_openalex": 1, "cited_by_scopus": "2", "eid": "2-s2.0-105048254259", "pii": null, "open_access_url": "https://library.acadlore.com/MITS/2025/4/4/MITS_04.04_02.pdf", "sources": [ { "db": "openalex", "stream": "UAV", "query_id": "UAV-1" }, { "db": "scopus", "stream": "UAV", "query_id": "UAV-1" } ], "streams": [ "UAV" ], "relevance_signals": [ "UAV" ], "auto_exclude_reason": null, "screening_status": "pending_human_screening", "screened_by": "auto-v1.0.0" }, { "id": "doi:10.55845/jos-2025-1249", "doi": "10.55845/jos-2025-1249", "title": "Environmental Impacts of Drone Delivery: A Comparative Meta-Analysis and Standardised LCA Metrics", "year": 2025, "authors": [ "Hannah Aster", "Lukas Zeilerbauer", "Johannes Lindorfer" ], "first_author": "Hannah Aster", "venue": "Journal of Sustainability", "volume": "1", "pages": null, "type": "article", "language": "en", "abstract": "The increasing demand for time-efficient and low-emission delivery solutions has brought unmanned aerial vehicles (UAVs) to the forefront of research. While numerous studies identify UAVs as a promising alternative for electrified last-mile logistics, others highlight potential ecological drawbacks. To date, the underlying factors contributing to these divergent findings have not been systematically examined. This study conducted a comprehensive meta-analysis of the environmental impacts of drone delivery systems, focusing on the life cycle assessment (LCA) methodology. It systematically reviews existing literature on climate change (CC) and other environmental impact categories associated with various UAV components and life cycle stages using the PRISMA method and searches for the main environmental hotspots associated with delivery drones across their full life cycle. Results show significant variability in the environmental burdens attributed to different drone components, particularly batteries and electronic systems, influenced by their assumed weight shares. The study found that the relative impact of drone delivery compared to ground delivery is highly dependent on the inclusion of UAV production in the environmental assessment. Furthermore, this work addresses the question of the climate change impact over an entire drone life cycle according to the reviewed studies and how modelling assumptions and system boundaries influence the results. To enable consistent comparison across studies, the study introduced the functional unit (FU) of kg CO2-eq/kg*km. Ultimately, the findings highlight the importance of standardised LCA methodologies in UAV research to ensure consistent, interpretable and comparable sustainability evaluations.", "keywords": [ "Drone", "Life-cycle assessment", "Sustainability", "Environmental impact assessment", "Climate change", "Work (physics)" ], "cited_by_openalex": 2, "cited_by_scopus": "2", "eid": "2-s2.0-105029808393", "pii": null, "open_access_url": "https://doi.org/10.55845/jos-2025-1249", "sources": [ { "db": "openalex", "stream": "UAV", "query_id": "UAV-1" }, { "db": "scopus", "stream": "UAV", "query_id": "UAV-1" } ], "streams": [ "UAV" ], "relevance_signals": [ "UAV" ], "auto_exclude_reason": null, "screening_status": "pending_human_screening", "screened_by": "auto-v1.0.0" }, { "id": "doi:10.1016/j.seps.2025.102393", "doi": "10.1016/j.seps.2025.102393", "title": "Evaluating sustainable last-mile delivery modes using IF-MAIRCA: The perspective of local authorities", "year": 2025, "authors": [ "Fulya Zaralı", "Şaban Fatih Yılmaz", "Neslihan Demirel", "Akram Elomiya", "Stefan Jovčić" ], "first_author": "Fulya Zaralı", "venue": "Socio-Economic Planning Sciences", "volume": "104", "pages": null, "type": "article", "language": "en", "abstract": null, "keywords": [ "Incentive", "Variety (cybernetics)", "Intuition", "Set (abstract data type)", "Perspective (graphical)", "Energy consumption", "Consumption (sociology)" ], "cited_by_openalex": 2, "cited_by_scopus": "2", "eid": "2-s2.0-105024009717", "pii": "S0038012125002423", "open_access_url": "https://doi.org/10.1016/j.seps.2025.102393", "sources": [ { "db": "openalex", "stream": "UAV", "query_id": "UAV-1" }, { "db": "scopus", "stream": "UAV", "query_id": "UAV-1" } ], "streams": [ "UAV" ], "relevance_signals": [ "NO_TECHNOLOGY_MATCH" ], "auto_exclude_reason": "EC-4-topic", "screening_status": "auto_excluded", "screened_by": "auto-v1.0.0" }, { "id": "doi:10.1109/netcrypt65877.2025.11102782", "doi": "10.1109/netcrypt65877.2025.11102782", "title": "Autonomous Delivery Drones Powered by AI for Urban Logistics Using a Pathfinding and Simultaneous Localization and Mapping", "year": 2025, "authors": [ "I. Sudha", "T. Vinoth", "Prashant Johri", "Omon Matqurbonov", "Shokir Ataev", "J. G. Rana" ], "first_author": "I. Sudha", "venue": "2025 International Conference on Networks and Cryptology Netcrypt 2025", "volume": null, "pages": "858-863", "type": "conference-paper", "language": "en", "abstract": "Modern urban logistics is experiencing significant development, and solving the key questions like traffic problems, delivery time, and emissions became crucial. Self-driving drones that employ AI technology can become a perfect solution for solving the problems of efficient city logistics. The principal area of interest in this research is to employ AI-based path planning algorithms and incorporate SLAM techniques into delivery drones to optimize their performance within UAS's environments. Using path planning techniques propelled by Artificial Intelligence, drones can modify their operating pathways depending on real challenges that may include physical obstacles, weather disturbances or even traffic jams in recognition of an optimum safe path of operation. While, SLAM also helps the drones to provide self-localization and mapping in the urban environments without relying on GPS signal and increase the level of accuracy and operation freedom. This paper focuses on the combined use of path planning algorithms and SLAM in autonomous delivery drones and work towards understanding the capability that may reshape the future of logistics. Also included in this work is the strategy of bringing the focus to the question of how this system can be scaled while looking at best practices in terms of its operation, for instance how efficient the use of energy is, how much the system costs and how existing legislation will impact the system. These findings prove the effectiveness of enabling autonomous drones for last-mile delivery and add to the concept of urban fulfillment and smart city infrastructure.", "keywords": [ "Pathfinding", "Drone", "Computer science", "Simultaneous localization and mapping", "Human–computer interaction", "Artificial intelligence", "Computer vision", "Mobile robot", "Robot", "Shortest path problem" ], "cited_by_openalex": 2, "cited_by_scopus": "2", "eid": "2-s2.0-105015496318", "pii": null, "open_access_url": "https://doi.org/10.1109/netcrypt65877.2025.11102782", "sources": [ { "db": "openalex", "stream": "UAV", "query_id": "UAV-1" }, { "db": "scopus", "stream": "UAV", "query_id": "UAV-1" } ], "streams": [ "UAV" ], "relevance_signals": [ "UAV" ], "auto_exclude_reason": null, "screening_status": "pending_human_screening", "screened_by": "auto-v1.0.0" }, { "id": "doi:10.63544/ijss.v4i4.183", "doi": "10.63544/ijss.v4i4.183", "title": "Logistics Entrepreneurship in the Digital Era: Opportunities, Challenges, and Growth Models in Smart Warehousing and Last-Mile Delivery", "year": 2025, "authors": [ "Asad A. Ali", "Sikandar Nawab Khattak", "Akbar Ali Rabbani", "Maisam Hussian", "Abdul Mateen" ], "first_author": "Asad A. Ali", "venue": "Inverge Journal of Social Sciences", "volume": null, "pages": null, "type": "article", "language": "en", "abstract": "The study explored the evolving dynamics of logistics entrepreneurship in the digital era, emphasizing how deep technological integration has fundamentally reshaped smart warehousing and last-mile delivery systems. The primary aim was to examine how digital technologies, such as artificial intelligence (AI), the Internet of Things (IoT), blockchain, and automation, contributed to operational efficiency, innovation, and business growth among logistics enterprises. Using a mixed-method approach combining quantitative surveys and qualitative interviews, data were collected from a diverse sample of logistics firms and technology-driven entrepreneurs across multiple regions. The results revealed that digital transformation significantly enhanced productivity, supply chain transparency, and customer satisfaction, with predictive analytics enabling more proactive decision-making. Moreover, innovation capability and technology adoption served as key mediating factors linking robust digital infrastructure to superior entrepreneurial performance. However, significant challenges such as high implementation costs, data privacy risks, and limited technical expertise constrained widespread adoption, particularly among small and medium enterprises. The study concluded that successful logistics entrepreneurship in the digital era depended on a balanced strategy of targeted technological investment, continuous human capital development, and a strong sustainability orientation. Recommendations included promoting public-private partnerships for digital literacy, establishing robust cybersecurity frameworks, and incentivizing eco-efficient logistics practices. The findings provided critical theoretical and practical insights into how agile digital entrepreneurship models could guide the future growth and resilience of logistics industries globally. References Alfalla-Luque, R., Marín-García, J. A., & Medina-López, C. (2023). Digital transformation and logistics performance: The mediating role of innovation capability. International Journal of Logistics Research and Applications, 26(4), 712–730. https://doi.org/10.1080/13675567.2022.2054309 Asif, M., & Sandhu, M. S. (2023). Social media marketing revolution in Pakistan: A study of its adoption and impact on business performance. Journal of Business Insight and Innovation, 2(2), 67-77. Asif, M., Shah, H., & Asim, H. A. H. (2025). Cybersecurity and audit resilience in digital finance: Global insights and the Pakistani context. Journal of Asian Development Studies, 14(3), 560-573. Bai, C., & Sarkis, J. (2024). 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Technological Forecasting and Social Change, 194, 122612. https://doi.org/10.1016/j.techfore.2023.122612 Gong, Y., Zhang, X., & Liu, Y. (2024). Smart warehousing and logistics innovation under the digital economy. Computers & Industrial Engineering, 187, 109915. https://doi.org/10.1016/j.cie.2023.109915 Jantapoon, K. (2025). The impact of smart warehousing and last-mile delivery on e-commerce supply chain performance: An empirical study using machine learning-enhanced SEM analysis. International Journal of Analysis and Applications, 23(101). Khan, S., Zaman, Z. I., Shiekh, A. A., & Saeed, M. (2025). Smart warehousing in FMCG sector: Challenges and remedies. In Smart Supply Chain Management (pp. 229–247). Springer. Li, F., Yang, X., Zhu, R., Li, T., & Liu, J. (2025). Growth mechanism in transformation and upgrading of logistics industry. Systems, 13(3), 202. https://doi.org/10.3390/systems13030202 Li, J., & Wu, D. (2024). The integration of AI and IoT in optimizing warehouse and delivery systems. International Journal of Production Economics, 267, 109022. https://doi.org/10.1016/j.ijpe.2023.109022 Malik, S., Khonji, M., Elbassioni, K., & Dias, J. (2025). Collaborative last-mile delivery: A multi-platform vehicle routing problem with en-route charging. arXiv. https://doi.org/10.48550/arXiv.2505.23584 Mandal, M. P., & Archetti, C. (2023). A decomposition approach to last mile delivery using public transportation systems. arXiv. https://doi.org/10.48550/arXiv.2306.04219 Moradi, N., Mirzavand Boroujeni, N., Aftabi, N., & Aslani, A. (2024). Two-echelon electric vehicle routing problem in parcel delivery: A literature review. arXiv. Müller, J. M., Buliga, O., & Voigt, K. I. (2023). The role of digital transformation in logistics entrepreneurship: Implications for performance and competitiveness. Industrial Marketing Management, 112, 125–138. https://doi.org/10.1016/j.indmarman.2023.01.009 Pereira, C. R., Da Silva, A. L., & Maffei, M. J. (2024). Predictive analytics and automation for smart logistics performance: Evidence from global logistics firms. Journal of Business Research, 172, 114093. https://doi.org/10.1016/j.jbusres.2023.114093 Rafiq-uz-Zaman, M. (2025). Beyond the blackboards: Building a micro-edtech economy through teacher-led innovation in low-income schools. Journal of Business Insight and Innovation, 4(1), 46–52. https://doi.org/10.5281/zenodo.16875721 Rafiq-uz-Zaman, M. (2025). Bridging the skills divide: A comparative study of skill-base", "keywords": [ "Digital transformation", "Agile software development", "Entrepreneurship", "Supply chain", "Digital strategy", "Ambidexterity", "Big data", "Business model", "Sample (material)", "Dynamic capabilities" ], "cited_by_openalex": 2, "cited_by_scopus": 0, "eid": null, "pii": null, "open_access_url": "https://invergejournals.com/index.php/ijss/article/download/183/338", "sources": [ { "db": "openalex", "stream": "UAV", "query_id": "UAV-1" }, { "db": "openalex", "stream": "UAV", "query_id": "UAV-2" } ], "streams": [ "UAV" ], "relevance_signals": [ "NO_TECHNOLOGY_MATCH" ], "auto_exclude_reason": "EC-4-topic", "screening_status": "auto_excluded", "screened_by": "auto-v1.0.0" }, { "id": "doi:10.1504/ijlsm.2025.146707", "doi": "10.1504/ijlsm.2025.146707", "title": "Green vehicles adoption for last-mile delivery: a systematic literature review and current trend", "year": 2025, "authors": [ "Rezli Ainur Savira Lubis", "Yuliani Dwi Lestari" ], "first_author": "Rezli Ainur Savira Lubis", "venue": "International Journal of Logistics Systems and Management", "volume": "51", "pages": "211-229", "type": "review", "language": "en", "abstract": "The final step in the e-commerce supply chain, last-mile delivery, is an innovative approach to urban logistics issues, including lowering carbon emissions through alternative vehicles. This research intends to update and identify green vehicles adoption based on the type of last-mile delivery and the type of commodities transported by a systematic literature review method to enhance the sustainability of urban logistics. The findings show that collaboration between conventional vehicles (fossil fuels) and active transportation (bicycles, walking), public transportation, electric vehicles, drones, and robots is the most widely adopted. From an environmental standpoint, carbon emissions can be significantly reduced with this alternative vehicle when making deliveries. In addition, the result shows that this environmentally friendly vehicle mostly serves general goods delivery to the consumer's location. Meanwhile, crowdshipping is an urban logistics trend that has emerged recently by utilising individuals to make deliveries when traveling in certain areas.", "keywords": [ "Last mile (transportation)", "Mile", "Current (fluid)", "Business", "Operations management", "Economics", "Engineering", "Geography" ], "cited_by_openalex": 1, "cited_by_scopus": "2", "eid": "2-s2.0-105008512714", "pii": null, "open_access_url": "https://doi.org/10.1504/ijlsm.2025.146707", "sources": [ { "db": "openalex", "stream": "UAV", "query_id": "UAV-1" }, { "db": "scopus", "stream": "UAV", "query_id": "UAV-1" } ], "streams": [ "UAV" ], "relevance_signals": [ "UAV" ], "auto_exclude_reason": null, "screening_status": "pending_human_screening", "screened_by": "auto-v1.0.0" }, { "id": "doi:10.1109/codit66093.2025.11321813", "doi": "10.1109/codit66093.2025.11321813", "title": "Drone-Based Delivery in Logistics: Interdisciplinary Challenges", "year": 2025, "authors": [ "Mariem Belhor", "Danielle Nyakam Nya" ], "first_author": "Mariem Belhor", "venue": "11th 2025 International Conference on Control Decision and Information Technologies Codit 2025", "volume": null, "pages": "823-828", "type": "conference-paper", "language": "en", "abstract": "As urban logistics continue to evolve, there is a growing need for innovative delivery solutions that can meet rising demand while addressing sustainability and cost-effectiveness. To tackle these challenges, ecofriendly transportation methods must be adopted to minimize environmental impact, enhance safety and optimize costs. Drone delivery has emerged as a transformative approach that offers speed, adaptability and reduced emissions compared to conventional logistics. However, its large-scale deployment presents technical and operational challenges that require an interdisciplinary approach. This paper examines these challenges through the integration of control engineering and computer science, identifying how their synergies can enhance efficiency and scalability in drone logistics by developing complementary solutions that address various logistical challenges.", "keywords": [ "Adaptability", "Software deployment", "Drone", "Sustainability", "Flexibility (engineering)", "Transformative learning" ], "cited_by_openalex": 2, "cited_by_scopus": "2", "eid": "2-s2.0-105032732607", "pii": null, "open_access_url": "https://doi.org/10.1109/codit66093.2025.11321813", "sources": [ { "db": "openalex", "stream": "UAV", "query_id": "UAV-1" }, { "db": "openalex", "stream": "UAV", "query_id": "UAV-3" }, { "db": "scopus", "stream": "UAV", "query_id": "UAV-1" }, { "db": "scopus", "stream": "UAV", "query_id": "UAV-3" } ], "streams": [ "UAV" ], "relevance_signals": [ "UAV" ], "auto_exclude_reason": null, "screening_status": "pending_human_screening", "screened_by": "auto-v1.0.0" }, { "id": "doi:10.1016/j.tre.2025.104594", "doi": "10.1016/j.tre.2025.104594", "title": "Integrated routing of drones and public transportation vehicles for simultaneous parcel pickup and delivery", "year": 2025, "authors": [ "Wei Xu", "Zhixiao Wang", "Zhenjie Zheng", "Zhengli Wang", "Hai Yang" ], "first_author": "Wei Xu", "venue": "Transportation Research Part E Logistics and Transportation Review", "volume": "207", "pages": null, "type": "article", "language": "en", "abstract": null, "keywords": [ "Drone", "Solver", "Scheduling (production processes)", "Public transport", "Vehicle routing problem", "Linear programming", "Integer programming", "Routing (electronic design automation)", "TRIPS architecture" ], "cited_by_openalex": 3, "cited_by_scopus": "2", "eid": "2-s2.0-105044312346", "pii": "S1366554525006222", "open_access_url": "https://doi.org/10.1016/j.tre.2025.104594", "sources": [ { "db": "openalex", "stream": "UAV", "query_id": "UAV-1" }, { "db": "openalex", "stream": "UAV", "query_id": "UAV-3" }, { "db": "scopus", "stream": "UAV", "query_id": "UAV-1" }, { "db": "scopus", "stream": "UAV", "query_id": "UAV-2" }, { "db": "scopus", "stream": "UAV", "query_id": "UAV-3" } ], "streams": [ "UAV" ], "relevance_signals": [ "UAV_NO_CTX" ], "auto_exclude_reason": "EC-4-topic", "screening_status": "auto_excluded", "screened_by": "auto-v1.0.0" }, { "id": "doi:10.1109/iccies63851.2025.11032336", "doi": "10.1109/iccies63851.2025.11032336", "title": "Autonomous Logistics: The Role of Artificial Intelligence, Drones, And Robotics In Supply Chain Management", "year": 2025, "authors": [ "Durbek Sayfullaev", "Zayd Ajsan Balsem", "Asmaa Abdullah Majeed", "Azibaev Akhmadkhon Gulomjonugli", "Ghorpade Bipin Shivaji" ], "first_author": "Durbek Sayfullaev", "venue": "2025 International Conference on Computational Innovations and Engineering Sustainability Iccies 2025", "volume": null, "pages": null, "type": "conference-paper", "language": "en", "abstract": "Autonomous logistics is revolutionizing supply chain management through the integration of Artificial Intelligence (AI), drones, and robotics, enhancing efficiency, speed, and accuracy. The synergy of these technologies optimizes warehouse operations, transportation, and last-mile delivery, reducing human intervention and operational costs. Traditional logistics systems face several challenges, including delays due to traffic congestion, high labor costs, inefficiencies in warehouse management, and the environmental impact of fuel-based transportation. These limitations hinder the ability to meet the growing demand for faster and more reliable deliveries. To address these challenges, this study proposes an AI-powered Drones and Autonomous Vehicles (AI-DAV) Framework for last-mile delivery. AI-driven systems optimize route planning, ensure real-time traffic management, and enhance operational efficiency using machine learning algorithms, IoT-based tracking, and automated navigation technologies. The proposed method employs AI-powered drones for small package deliveries in urban areas and autonomous ground vehicles for bulk transportation, reducing human dependency and enhancing precision. Robotics in warehouses further streamlines inventory handling and order fulfillment, improving overall supply chain performance. Findings suggest that the AI-DAV framework significantly reduces delivery time, operational costs, and carbon emissions while increasing accuracy and scalability in logistics operations. By leveraging AI, drones, and robotics, supply chain management becomes more efficient, sustainable, and resilient, meeting the dynamic demands of modern commerce.", "keywords": [ "Drone", "Supply chain", "Robotics", "Supply chain management", "Artificial intelligence", "Computer science", "Robot", "Engineering management", "Engineering", "Systems engineering", "Business", "Marketing" ], "cited_by_openalex": 2, "cited_by_scopus": "2", "eid": "2-s2.0-105011950797", "pii": null, "open_access_url": "https://doi.org/10.1109/iccies63851.2025.11032336", "sources": [ { "db": "openalex", "stream": "UAV", "query_id": "UAV-1" }, { "db": "scopus", "stream": "UAV", "query_id": "UAV-1" } ], "streams": [ "UAV" ], "relevance_signals": [ "UAV" ], "auto_exclude_reason": null, "screening_status": "pending_human_screening", "screened_by": "auto-v1.0.0" }, { "id": "doi:10.1155/joro/8839629", "doi": "10.1155/joro/8839629", "title": "LSTM‐KAN‐Based Energy Consumption Prediction and Optimization Method for Quadcopter Drone Under Unknown Load", "year": 2025, "authors": [ "Hongsheng Ren", "Guangyan Wang", "Qing Chang", "Sen Gao", "Xi Chen" ], "first_author": "Hongsheng Ren", "venue": "Journal of Robotics", "volume": "2025", "pages": null, "type": "article", "language": "en", "abstract": "With the rapid expansion of drones in last‐mile delivery, high energy consumption has become a critical challenge, affecting both operational efficiency and sustainability. Among the various factors influencing unmanned aerial vehicle (UAV) energy consumption, payload weight plays a significant role in determining power usage. However, most existing studies assume known payload conditions, while in real‐world applications, payload is often unknown, limiting the accuracy of energy consumption prediction and optimization. To address this issue, this study proposes a long short‐term memory (LSTM)‐Kolmogorov–Arnold network (KAN) energy consumption modeling approach, integrating deep learning with prior knowledge of quadrotor dynamics to enhance UAV energy prediction under unknown load conditions. The proposed framework consists of a load prediction model based on an improved LSTM network and an energy consumption model employing the KAN for power estimation, effectively capturing the impact of payload variations on energy consumption. Additionally, a particle swarm optimization (PSO) algorithm is applied to dynamically adjust flight parameters, further improving energy efficiency. Experimental validation on a customized quadrotor platform demonstrates that the proposed model achieves R 2 values of 0.9852 and 0.9235 for load and power prediction, respectively, indicating high predictive accuracy. When combined with PSO, the approach enhances energy efficiency by 23.14%–28.21% under various payload conditions. This study provides an effective solution for UAV energy consumption prediction and optimization, contributing to improved operational efficiency and the sustainability of drone‐based logistics.", "keywords": [ "Payload (computing)", "Quadcopter", "Energy consumption", "Drone", "Energy (signal processing)", "Efficient energy use" ], "cited_by_openalex": 2, "cited_by_scopus": "2", "eid": "2-s2.0-105016565613", "pii": null, "open_access_url": "https://onlinelibrary.wiley.com/doi/pdfdirect/10.1155/joro/8839629", "sources": [ { "db": "openalex", "stream": "UAV", "query_id": "UAV-1" }, { "db": "scopus", "stream": "UAV", "query_id": "UAV-1" } ], "streams": [ "UAV" ], "relevance_signals": [ "UAV_NO_CTX" ], "auto_exclude_reason": "EC-4-topic", "screening_status": "auto_excluded", "screened_by": "auto-v1.0.0" }, { "id": "doi:10.2991/978-94-6463-811-0_105", "doi": "10.2991/978-94-6463-811-0_105", "title": "Optimizing Urban Logistics through Low-Altitude Aerial Routes: A Study on UAV Integration in Supply Chains", "year": 2025, "authors": [ "Dongyang Zhang" ], "first_author": "Dongyang Zhang", "venue": "Advances in economics, business and management research/Advances in Economics, Business and Management Research", "volume": null, "pages": null, "type": "book-chapter", "language": "en", "abstract": null, "keywords": [ "Low altitude", "Supply chain", "Business", "Aeronautics", "Transport engineering", "Altitude (triangle)", "Engineering", "Marketing" ], "cited_by_openalex": 2, "cited_by_scopus": 0, "eid": null, "pii": null, "open_access_url": "https://doi.org/10.2991/978-94-6463-811-0_105", "sources": [ { "db": "openalex", "stream": "UAV", "query_id": "UAV-1" } ], "streams": [ "UAV" ], "relevance_signals": [ "UAV" ], "auto_exclude_reason": null, "screening_status": "pending_human_screening", "screened_by": "auto-v1.0.0" }, { "id": "doi:10.1109/jiot.2025.3582058", "doi": "10.1109/jiot.2025.3582058", "title": "Distributed Knowledge-Enhanced Multi-Agent Reinforcement Learning for Internet of Drones", "year": 2025, "authors": [ "Ye Wang", "Jingjing Wang", "Ruijie Zhu", "Ziyang Wang", "Pujie Xin", "Peng Pan" ], "first_author": "Ye Wang", "venue": "IEEE Internet of Things Journal", "volume": "12", "pages": "44166-44176", "type": "article", "language": "en", "abstract": "With the growing demand for low-altitude transportation, the application of the Internet of drones (IoD) in urban logistics has become increasingly significant. However, the complex obstacles present in urban environments, such as tall buildings and no-fly zones, pose numerous challenges for the IoD, including low data-driven efficiency and difficulties in representing implicit knowledge. To address these challenges, this paper proposes an IoD swarm collaborative scheduling method based on distributed knowledge-enhanced multi-agent reinforcement learning (DKEMARL). The method leverages prior environmental knowledge to design a knowledge embedding and expansion module, which provides comprehensive and detailed environmental observation data during training and introduces a reward mechanism that balances task timeliness with flight safety. Within a centralized training and decentralized execution framework, the multi-agent deep deterministic policy gradient (MADDPG) approach is employed to facilitate efficient cooperation among the IoD. Specifically, we develop a scenario model for low-altitude transportation tasks involving an IoD swarm, considering factors such as task timeliness, flight distance cost, and safety constraints, and propose an optimization objective to balance timely task completion with flight safety. Simulation results demonstrate that the proposed DKEMARL algorithm can significantly enhance task completion efficiency compared to baseline methods that do not incorporate knowledge enhancement.", "keywords": [ "Computer science", "Reinforcement learning", "The Internet", "Drone", "Multi-agent system", "Artificial intelligence", "Distributed computing", "World Wide Web" ], "cited_by_openalex": 2, "cited_by_scopus": "2", "eid": "2-s2.0-105010263864", "pii": null, "open_access_url": "https://doi.org/10.1109/jiot.2025.3582058", "sources": [ { "db": "openalex", "stream": "UAV", "query_id": "UAV-1" }, { "db": "scopus", "stream": "UAV", "query_id": "UAV-1" } ], "streams": [ "UAV" ], "relevance_signals": [ "UAV" ], "auto_exclude_reason": null, "screening_status": "pending_human_screening", "screened_by": "auto-v1.0.0" }, { "id": "doi:10.1016/j.trc.2025.105454", "doi": "10.1016/j.trc.2025.105454", "title": "A branch-and-cut algorithm for routing a heterogeneous drone-ground vehicle fleet to deliver time-sensitive products", "year": 2025, "authors": [ "Sayed Hamid Hosseini Dolatabadi", "Tanveer Hossain Bhuiyan", "Waquar Kaleem", "Anirudh Subramanyam", "Taner Cokyasar" ], "first_author": "Sayed Hamid Hosseini Dolatabadi", "venue": "Transportation Research Part C Emerging Technologies", "volume": "183", "pages": null, "type": "article", "language": "en", "abstract": null, "keywords": [ "Drone", "Payload (computing)", "Energy consumption", "Routing (electronic design automation)", "Heuristic", "Range (aeronautics)", "Linear programming", "Vehicle routing problem" ], "cited_by_openalex": 3, "cited_by_scopus": "2", "eid": "2-s2.0-105029741700", "pii": "S0968090X25004589", "open_access_url": "https://doi.org/10.1016/j.trc.2025.105454", "sources": [ { "db": "openalex", "stream": "UAV", "query_id": "UAV-1" }, { "db": "scopus", "stream": "UAV", "query_id": "UAV-1" } ], "streams": [ "UAV" ], "relevance_signals": [ "UAV_NO_CTX" ], "auto_exclude_reason": "EC-4-topic", "screening_status": "auto_excluded", "screened_by": "auto-v1.0.0" }, { "id": "doi:10.1016/j.trd.2025.104851", "doi": "10.1016/j.trd.2025.104851", "title": "Knowledge-Based city logistics: Do technology and people’s attitude go hand in hand?", "year": 2025, "authors": [ "Natalia Wagner", "Stanisław Iwan", "Kinga Kijewska", "Sidsel Ahlmann Jensen" ], "first_author": "Natalia Wagner", "venue": "Transportation Research Part D Transport and Environment", "volume": "146", "pages": null, "type": "article", "language": "en", "abstract": "Initiatives taken in the area of city logistics are still not effective enough. A solution to this problem may be more intensive development and wide application of the knowledge-based city logistics approach. This paper aims to evaluate the current development trends and challenges in city logistics, focusing on emerging technologies and knowledge-based processes. The study was conducted using the Delphi method. The findings show an expert consensus on the future common use of several technologies such as ICT, IoT, AI, big data, and drones. Autonomous vehicles constitute an exception here, as the experts do not expect them to be in common use in the future. It can be expected that city logistics projects and activities will be more data-driven, whereas processes necessary for effective knowledge management, which to a large extent depend on people’s attitude, will not be strengthened. Identifying these processes as unlikely indicates the necessary way forward.", "keywords": [ "Psychology", "Advertising", "Business" ], "cited_by_openalex": 2, "cited_by_scopus": "2", "eid": "2-s2.0-105007503994", "pii": "S1361920925002615", "open_access_url": "https://doi.org/10.1016/j.trd.2025.104851", "sources": [ { "db": "openalex", "stream": "UAV", "query_id": "UAV-1" }, { "db": "scopus", "stream": "UAV", "query_id": "UAV-1" } ], "streams": [ "UAV" ], "relevance_signals": [ "UAV" ], "auto_exclude_reason": null, "screening_status": "pending_human_screening", "screened_by": "auto-v1.0.0" }, { "id": "doi:10.1109/meditcom64437.2025.11104427", "doi": "10.1109/meditcom64437.2025.11104427", "title": "Integrating Charging Station Location and Delivery UAV Route by a Cascade Opitimization Framework", "year": 2025, "authors": [ "Jinbo Li", "Xinyuan Ni", "Mingzhuang Hua", "Qin Wang", "Miaokun Xu", "Feng Zhu" ], "first_author": "Jinbo Li", "venue": "2025 IEEE International Mediterranean Conference on Communications and Networking Meditcom 2025", "volume": null, "pages": "47-52", "type": "conference-paper", "language": "en", "abstract": "Against the backdrop of accelerating global urbanization and surging instant delivery demands, the application of Unmanned Aerial Vehicles (UAVs) in last-mile logistics faces critical challenges: limited battery endurance, heterogeneous demand, and infrastructure coordination. This study proposes a K-means-VNS hybrid framework, integrating a three-level “location-routing-charging” linkage model with heuristic algorithms. It constructs a delivery network topology, optimizes charging station placement via an improved K-means algorithm, dynamically adjusts routes through Variable Neighborhood Search (VNS) operations, and uses a Mixed Integer Linear Programming (MILP) model to integrate spatio-temporal constraints. Experimental results show that K-means reduces total flight distance compared to spectral clustering and hypergraph partitioning under the same station counts. The VNS algorithm improves computational efficiency by over 40 times compared to A* and RRT. Leveraging dynamic weighting and parallel computing, the framework reduces solving time and breaking through the limitations of traditional stepwise optimization.", "keywords": [ "Cascade", "Computer science", "Systems engineering", "Engineering" ], "cited_by_openalex": 3, "cited_by_scopus": "2", "eid": "2-s2.0-105015717272", "pii": null, "open_access_url": "https://doi.org/10.1109/meditcom64437.2025.11104427", "sources": [ { "db": "openalex", "stream": "UAV", "query_id": "UAV-1" }, { "db": "scopus", "stream": "UAV", "query_id": "UAV-1" } ], "streams": [ "UAV" ], "relevance_signals": [ "UAV" ], "auto_exclude_reason": null, "screening_status": "pending_human_screening", "screened_by": "auto-v1.0.0" }, { "id": "doi:10.1109/itsc60802.2025.11423269", "doi": "10.1109/itsc60802.2025.11423269", "title": "LogisticsVLN: Vision-Language Navigation for Low-Altitude Terminal Delivery Based on Agentic UAVs", "year": 2025, "authors": [ "Xinyuan Zhang", "Yonglin Tian", "Fei Lin", "Yue Liu", "Jing Ma", "Xiao Wang", "Kornélia Sára Szatmáry", "Fei-Yue Wang" ], "first_author": "Xinyuan Zhang", "venue": "IEEE Conference on Intelligent Transportation Systems Proceedings ITSC", "volume": null, "pages": "4437-4442", "type": "conference-paper", "language": null, "abstract": "The growing demand for intelligent logistics, particularly fine-grained terminal delivery, underscores the need for autonomous UAV (Unmanned Aerial Vehicle)-based delivery systems. However, most existing last-mile delivery studies rely on ground robots, while current UAV-based Vision-Language Navigation (VLN) tasks primarily focus on coarse-grained, long-range goals, making them unsuitable for precise terminal delivery. To bridge this gap, we propose LogisticsVLN, a scalable aerial delivery system built on multimodal large language models (MLLMs) for autonomous terminal delivery. LogisticsVLN integrates lightweight Large Language Models (LLMs) and Visual-Language Models (VLMs) in a modular pipeline for request understanding, floor localization, object detection, and decision-making. To support research and evaluation in this new setting, we construct the Vision-Language Delivery (VLD) dataset within the CARLA simulator. Experimental results on the VLD dataset showcase the feasibility of the LogisticsVLN system. In addition, we conduct subtask-level evaluations of each module of our system, offering valuable insights for improving the robustness and real-world deployment of foundation model-based vision-language delivery systems.", "keywords": [ "Terminal (telecommunication)", "Global Positioning System", "Terminal guidance", "Action (physics)", "Field (mathematics)" ], "cited_by_openalex": 3, "cited_by_scopus": "2", "eid": "2-s2.0-105036989911", "pii": null, "open_access_url": "https://doi.org/10.1109/itsc60802.2025.11423269", "sources": [ { "db": "openalex", "stream": "UAV", "query_id": "UAV-1" }, { "db": "openalex", "stream": "UAV", "query_id": "UAV-3" }, { "db": "scopus", "stream": "UAV", "query_id": "UAV-1" }, { "db": "scopus", "stream": "UAV", "query_id": "UAV-3" } ], "streams": [ "UAV" ], "relevance_signals": [ "UAV" ], "auto_exclude_reason": null, "screening_status": "pending_human_screening", "screened_by": "auto-v1.0.0" }, { "id": "doi:10.3390/aerospace12080703", "doi": "10.3390/aerospace12080703", "title": "Research on Real-Path-Based UAV Distribution Center Layout in Urban Environments", "year": 2025, "authors": [ "Linyanran Dai", "Yong Tian", "Naizhong Zhang", "Lili Wan", "Shunhang Hai" ], "first_author": "Linyanran Dai", "venue": "Aerospace", "volume": "12", "pages": null, "type": "article", "language": "en", "abstract": "The growing adoption of unmanned aerial vehicles (UAVs) for urban parcel delivery highlights the need for efficient distribution center placement. Particularly in dense urban environments, obstacle avoidance usually increases real path distances beyond straight-line measurements. Considering these distance differences, this study first employs the Informed-RRT* algorithm with spatial indexing to calculate real UAV flight paths between locations. We use the real path distances instead of straight-line distances to determine service coverage areas in the distribution center layout model. In this model, we aim to minimize the total economic cost and maximize customer satisfaction, considering the service range, the balance between delivery capability and demand, and the constraints of the distribution mode. An immune-algorithm-enhanced genetic algorithm, the immune genetic algorithm, is used to solve the model, acquiring the distribution center layout. We conduct a simulation experiment in Shenzhen’s low-altitude airspace and compare the layout results between the real path distance criterion and the straight-line path distance criterion. The results show that using the real path distances instead of the straight-line distances leads to changes in distribution center layout, demonstrating the necessity of this framework.", "keywords": [ "Center (category theory)", "Path (computing)", "Computer science", "Distribution (mathematics)", "Distribution center", "Real-time computing", "Computer network", "Business", "Mathematics" ], "cited_by_openalex": 2, "cited_by_scopus": "2", "eid": "2-s2.0-105014523325", "pii": null, "open_access_url": "https://www.mdpi.com/2226-4310/12/8/703/pdf?version=1755151137", "sources": [ { "db": "openalex", "stream": "UAV", "query_id": "UAV-1" }, { "db": "scopus", "stream": "UAV", "query_id": "UAV-1" } ], "streams": [ "UAV" ], "relevance_signals": [ "UAV" ], "auto_exclude_reason": null, "screening_status": "pending_human_screening", "screened_by": "auto-v1.0.0" }, { "id": "doi:10.1109/itoec63606.2025.10969068", "doi": "10.1109/itoec63606.2025.10969068", "title": "Optimizing Urban UAV Delivery Networks with Improved K-Means: Insights from Shiyan City", "year": 2025, "authors": [ "Zhuoling Song", "Qin Wang", "Zichao Chen", "Dengan’Qi Fang" ], "first_author": "Zhuoling Song", "venue": "IEEE Information Technology and Mechatronics Engineering Conference Itoec", "volume": null, "pages": "752-756", "type": "conference-paper", "language": "en", "abstract": "This study addresses the logistical challenges of urban unmanned aerial vehicle (UAV) delivery systems by proposing an enhanced K-Means clustering algorithm tailored for delivery area division. Integrating UAV-specific constraints, such as battery life, payload limits, and dynamic delivery demands, the algorithm optimizes flight distance, energy efficiency, and cluster workload balance. Comprehensive simulations using data from Shiyan City validate the algorithm ’ s effectiveness, demonstrating significant improvements over traditional methods. The findings offer a scalable framework for integrating UAVs into urban logistics networks and provide actionable insights for optimizing UAV operations under real-world conditions. This research also highlights future directions, including incorporating real-time data streams and advanced UAV technologies to enhance logistics adaptability and efficiency.", "keywords": [ "Computer science", "Environmental science", "Transport engineering", "Engineering" ], "cited_by_openalex": 2, "cited_by_scopus": "2", "eid": "2-s2.0-105005826286", "pii": null, "open_access_url": "https://doi.org/10.1109/itoec63606.2025.10969068", "sources": [ { "db": "openalex", "stream": "UAV", "query_id": "UAV-1" }, { "db": "scopus", "stream": "UAV", "query_id": "UAV-1" } ], "streams": [ "UAV" ], "relevance_signals": [ "UAV" ], "auto_exclude_reason": null, "screening_status": "pending_human_screening", "screened_by": "auto-v1.0.0" }, { "id": "doi:10.54989/msd-2025-0017", "doi": "10.54989/msd-2025-0017", "title": "Delivering the Undeliverable: Fast Fashion, Last-Mile Logistics, and the Myth of Sustainable Consumption", "year": 2025, "authors": [ "Gilles Paché" ], "first_author": "Gilles Paché", "venue": "Management of Sustainable Development", "volume": "17", "pages": "133-144", "type": "article", "language": "en", "abstract": "At a time when ultra-fast delivery, especially same-day delivery, has become a benchmark for overconsumption, last-mile logistics exposes fundamental tensions between operational performance and environmental and social sustainability. The rapid expansion of fast fashion, fuelled by platforms such as Shein and Temu, demonstrates that speed and efficiency generate apparent gains while aggravating urban congestion, increasing carbon emissions, and intensifying pressure on delivery workers. Technological solutions, including drones, autonomous vehicles, automated hubs, and artificial intelligence, often create the illusion of sustainable progress, yet the rebound effect neutralizes individual benefits and encourages even more frequent and fragmented consumption. Conventional approaches that focus solely on optimizing flows fail to address the structural drivers of overconsumption. This position paper advocates systemic rethinking of last-mile logistics, emphasizing the integration of sobriety, social equity, and durability into operational strategies. Deconsumption practices: pooling orders, extending product lifespans, promoting second-hand goods, and accepting longer delivery times, function as concrete levers for reducing delivery density while ensuring access to essential goods. Under this perspective, the last mile becomes a political and social arena, where the very conditions for sustainable consumption and urban well-being are being actively redefined, highlighting the limits of purely technical solutions.", "keywords": [ "Consumption (sociology)", "Position (finance)", "Product (mathematics)", "Function (biology)", "Sustainable development", "Pooling", "Sustainable consumption", "Production (economics)" ], "cited_by_openalex": 0, "cited_by_scopus": "2", "eid": "2-s2.0-105027407611", "pii": null, "open_access_url": "https://msdjournal.org/wp-content/uploads/9.-Delivering-the-Undeliverable-Fast-Fashion_pp.-133-144.pdf", "sources": [ { "db": "openalex", "stream": "UAV", "query_id": "UAV-1" }, { "db": "scopus", "stream": "UAV", "query_id": "UAV-1" } ], "streams": [ "UAV" ], "relevance_signals": [ "UAV" ], "auto_exclude_reason": null, "screening_status": "pending_human_screening", "screened_by": "auto-v1.0.0" }, { "id": "doi:10.1109/tase.2025.3553200", "doi": "10.1109/tase.2025.3553200", "title": "A Branch-and-Price Algorithm for the Urban Aerial Delivery Problem With Energy Constraints", "year": 2025, "authors": [ "Zhi Pei", "Zhaohui Liang", "Jiayan Huang", "Tao Fang", "Na Li" ], "first_author": "Zhi Pei", "venue": "IEEE Transactions on Automation Science and Engineering", "volume": "22", "pages": "13269-13285", "type": "article", "language": "en", "abstract": "In this paper, an urban aerial delivery problem (UADP) is investigated, where the parcel transportation service is accomplished by drones in an urban setting. The aim of the problem is to minimize the total service completion time, by taking into account of the flow balance, the energy consumption, and the response time window. To fully explore the structure of the UADP, a mixed integer linear programming (MILP) model is constructed based on an arc-flow scheme. However, directly handling the UADP with commercial solvers is time consuming. In order to enhance the responsiveness of urban courier services and speed up the solving process, a set-covering model (UADP-SC) is proposed with a linear programming based relaxation. Then a branch-and-price algorithm is designed with pricing accelerating strategies based on heuristics. The computational experiments show that the proposed branch-and-price algorithm outperforms the off-the-shelf commercial solvers in terms of computation efficiency. In the mean time, the proposed algorithm can also serve to obtain optimal battery swapping and path planing decisions in face of the large-scale urban aerial delivery problem with energy constraints.Note to Practitioners—With the intensification of the aging population issue, the manual labor costs in logistics have sharply increased. Simultaneously, advancements in drone technology enable uncrewed aerial vehicles to participate in logistics distribution systems, addressing the last-mile delivery challenge. In the planning of drone delivery routes, the constraint of drone batteries cannot be ignored. This constraint not only affects delivery safety but also impacts delivery efficiency—both crucial considerations for decision-makers. Consequently, we propose a model considering the energy constraints. We introduce a branch-and-pricing algorithm to expedite the problem solving. The results show that the proposed algorithm performs well across various problem scales. Moreover, adopting a strategy of replacing batteries only when necessary can save approximately 17% to 23% of the total completion time. We also conducted performance comparisons under different ratios of orders to drones, providing decision-makers with a useful benchmark.", "keywords": [ "Mathematical optimization", "Energy (signal processing)", "Computer science", "Algorithm", "Engineering", "Mathematics" ], "cited_by_openalex": 1, "cited_by_scopus": "2", "eid": "2-s2.0-105003027627", "pii": null, "open_access_url": "https://doi.org/10.1109/tase.2025.3553200", "sources": [ { "db": "openalex", "stream": "UAV", "query_id": "UAV-1" }, { "db": "openalex", "stream": "UAV", "query_id": "UAV-3" }, { "db": "scopus", "stream": "UAV", "query_id": "UAV-3" } ], "streams": [ "UAV" ], "relevance_signals": [ "UAV" ], "auto_exclude_reason": null, "screening_status": "pending_human_screening", "screened_by": "auto-v1.0.0" }, { "id": "doi:10.3390/modelling6030060", "doi": "10.3390/modelling6030060", "title": "Quasi-LPV Approach for the Stabilization of an Innovative Quadrotor", "year": 2025, "authors": [ "Saïd Chaabani", "Naoufel Azouz" ], "first_author": "Saïd Chaabani", "venue": "Modelling—International Open Access Journal of Modelling in Engineering Science", "volume": "6", "pages": null, "type": "article", "language": "en", "abstract": "In recent decades, the deployment of quadcopters has significantly expanded, particularly in outdoor applications such as parcel delivery. These missions require highly stable aerial platforms capable of maintaining balance under diverse environmental conditions, ensuring the safe operation of both the drone and its payload. This paper focuses on the stabilization of a quadcopter designed for outdoor use. A detailed dynamic model of a compact vertical takeoff and landing (VTOL) drone forms the basis for a non-linear control strategy targeting stability during the critical takeoff phase. The control law is designed using a quasi-linear parameter-varying (quasi-LPV) model that captures the system’s non-linear dynamics. Lyapunov theory and linear matrix inequalities (LMIs) are employed to validate the stability and design the controller. Numerical simulations demonstrate the controller’s effectiveness, and a comparative study is conducted to benchmark its performance against a reference quadrotor model.", "keywords": [ "Computer science", "Aeronautics", "Control theory (sociology)", "Engineering", "Control (management)", "Artificial intelligence" ], "cited_by_openalex": 2, "cited_by_scopus": "2", "eid": "2-s2.0-105017004376", "pii": null, "open_access_url": "https://www.mdpi.com/2673-3951/6/3/60/pdf?version=1751364934", "sources": [ { "db": "openalex", "stream": "UAV", "query_id": "UAV-1" }, { "db": "scopus", "stream": "UAV", "query_id": "UAV-1" } ], "streams": [ "UAV" ], "relevance_signals": [ "UAV" ], "auto_exclude_reason": null, "screening_status": "pending_human_screening", "screened_by": "auto-v1.0.0" }, { "id": "doi:10.1007/978-3-031-94046-0_5", "doi": "10.1007/978-3-031-94046-0_5", "title": "Foundation Models-Driven Support to Logistics", "year": 2025, "authors": [ "Bernardo Nicoletti" ], "first_author": "Bernardo Nicoletti", "venue": null, "volume": null, "pages": null, "type": "book-chapter", "language": "en", "abstract": null, "keywords": [ "Foundation (evidence)", "Engineering", "Computer science", "Construction engineering", "Geography", "Archaeology" ], "cited_by_openalex": 2, "cited_by_scopus": 0, "eid": null, "pii": null, "open_access_url": "https://doi.org/10.1007/978-3-031-94046-0_5", "sources": [ { "db": "openalex", "stream": "UAV", "query_id": "UAV-1" } ], "streams": [ "UAV" ], "relevance_signals": [ "NO_TECHNOLOGY_MATCH" ], "auto_exclude_reason": "EC-4-topic", "screening_status": "auto_excluded", "screened_by": "auto-v1.0.0" }, { "id": "doi:10.51244/ijrsi.2024.11120077", "doi": "10.51244/ijrsi.2024.11120077", "title": "Implementing Advanced Analytics for Optimizing Food Supply Chain Logistics and Efficiency", "year": 2025, "authors": [ "Nsisong Louis Eyo-Udo", "Anate Benoit Nicaise Abbey", "Iyadunni Adewola Olaleye" ], "first_author": "Nsisong Louis Eyo-Udo", "venue": "International journal of research and scientific innovation", "volume": null, "pages": null, "type": "article", "language": "en", "abstract": "The global food supply chain faces significant challenges in ensuring efficiency and minimizing disruptions, especially in the face of unexpected events, fluctuating demand, and logistical complexities. Implementing advanced analytics within food supply chains can transform operational dynamics, enabling precise prediction of potential disruptions and enhancing logistics efficiency. This study proposes a robust framework that leverages machine learning algorithms to forecast disruptions—such as delays in transport, shifts in consumer demand, or adverse weather conditions—and to optimize the logistics flow accordingly. By incorporating predictive modeling and real-time data analysis, this framework aims to enhance decision-making capabilities across various stages of the supply chain, from production and warehousing to transportation and delivery. The proposed framework utilizes a combination of supervised learning for demand forecasting and unsupervised learning for anomaly detection, enabling early identification of potential logistical challenges. Furthermore, integrating these analytics with real-time data sources, such as IoT sensors and satellite imagery, facilitates a comprehensive view of supply chain status, thereby increasing responsiveness and adaptability to unforeseen events. The potential future integration of this framework with autonomous delivery systems, such as drones or autonomous vehicles, could further streamline last-mile logistics, reducing both cost and delivery time while maintaining the quality and safety of perishable goods. This study not only demonstrates the immediate benefits of machine learning-driven predictive analytics but also discusses the scalability and flexibility of this approach for broader applications within global food systems. Future research can explore enhancements in algorithmic accuracy and integration with blockchain for traceability, supporting transparent, resilient, and highly efficient food supply chains. The integration of autonomous delivery systems will additionally be a key focus for ensuring seamless, reliable, and sustainable logistics operations in a rapidly evolving food industry landscape.", "keywords": [ "Supply chain", "Analytics", "Business", "Supply chain management", "Food supply", "Process management", "Environmental economics", "Operations management", "Computer science", "Environmental science", "Marketing", "Data science" ], "cited_by_openalex": 2, "cited_by_scopus": 0, "eid": null, "pii": null, "open_access_url": "https://doi.org/10.51244/ijrsi.2024.11120077", "sources": [ { "db": "openalex", "stream": "UAV", "query_id": "UAV-1" } ], "streams": [ "UAV" ], "relevance_signals": [ "UAV" ], "auto_exclude_reason": null, "screening_status": "pending_human_screening", "screened_by": "auto-v1.0.0" }, { "id": "doi:10.3390/app151910709", "doi": "10.3390/app151910709", "title": "Logistics Planning of Autonomous Air Cargo Vehicles with Deep Learning Methods: A Literature Review", "year": 2025, "authors": [ "Muhammed Sefa Gör", "Cafer Çelik" ], "first_author": "Muhammed Sefa Gör", "venue": "Applied Sciences", "volume": null, "pages": null, "type": "article", "language": "en", "abstract": "Over the past decade, digitalization in the logistics sector has heightened the significance of autonomous systems and AI-based applications, while the integration of advanced deep learning technologies with air cargo carriers has ushered in a new era in the logistics industry. This study systematically addresses the current applications of these technological advances in logistics planning, the challenges faced, and perspectives for the future. These developments are transforming the role of UAVs and autonomous systems in logistics operations by improving last-mile efficiency and reducing costs. Key functions of autonomous vehicles, including environmental perception, decision-making, and route optimization, have shown notable progress through deep learning algorithms. However, major obstacles remain to their widespread adoption, particularly in terms of energy efficiency, data security, and the absence of a mature regulatory framework. Accordingly, this paper discusses these issues in detail and highlights areas for further research. This systematic literature review reveals the disruptive potential of AACV for the logistics industry and presents findings that can guide both academic inquiry and industrial practice. The results underscore that establishing a sustainable and efficient logistics ecosystem is essential in the context of these emerging technologies.", "keywords": [ "Context (archaeology)", "Deep learning", "Key (lock)", "Air cargo", "Supply chain", "Traffic management", "Big data" ], "cited_by_openalex": 2, "cited_by_scopus": 0, "eid": null, "pii": null, "open_access_url": "https://www.mdpi.com/2076-3417/15/19/10709/pdf?version=1759555577", "sources": [ { "db": "openalex", "stream": "UAV", "query_id": "UAV-1" } ], "streams": [ "UAV" ], "relevance_signals": [ "UAV" ], "auto_exclude_reason": null, "screening_status": "pending_human_screening", "screened_by": "auto-v1.0.0" }, { "id": "doi:10.1016/j.tre.2025.104126", "doi": "10.1016/j.tre.2025.104126", "title": "Emerging AI-driven smart and sustainable mobility", "year": 2025, "authors": [ "Yang Liu", "Balaźs Kulcsár", "Jiaming Wu", "Min Xu", "Xuegang Jeff Ban", "Said M. Easa" ], "first_author": "Yang Liu", "venue": "Transportation Research Part E Logistics and Transportation Review", "volume": null, "pages": null, "type": "article", "language": "en", "abstract": null, "keywords": [ "Business", "Computer science", "Engineering", "Transport engineering" ], "cited_by_openalex": 2, "cited_by_scopus": 0, "eid": null, "pii": null, "open_access_url": "https://doi.org/10.1016/j.tre.2025.104126", "sources": [ { "db": "openalex", "stream": "UAV", "query_id": "UAV-1" } ], "streams": [ "UAV" ], "relevance_signals": [ "NO_TECHNOLOGY_MATCH" ], "auto_exclude_reason": "EC-4-topic", "screening_status": "auto_excluded", "screened_by": "auto-v1.0.0" }, { "id": "doi:10.1109/tnse.2025.3649720", "doi": "10.1109/tnse.2025.3649720", "title": "DVA-ACLF: Designated Verifier Asymmetric Anonymous Credential Scheme for Low-Altitude Flight", "year": 2025, "authors": [ "Biwen Chen", "Qiuling Guan", "Jia Yu Li", "Jing Wang", "Jialing He", "Debiao He", "Tao Xiang" ], "first_author": "Biwen Chen", "venue": "IEEE Transactions on Network Science and Engineering", "volume": "13", "pages": "5752-5767", "type": "article", "language": null, "abstract": "Low-altitude aerial networks play an increasingly critical role in urban logistics, emergency response, and intelligent airspace management. These networks must ensure reliable identity authentication while addressing privacy, efficiency, and security challenges. Traditional authentication mechanisms—such as PKI-based certificates and remote identification—either overexpose identity data or lack support for flexible attribute disclosure. Moreover, existing anonymous credential (AC) schemes, though offering privacy, often incur high computational and communication costs and exist vulnerable to replay attacks. To address these limitations, we proposeDVA-ACLF(Designated Verifier Asymmetric Anonymous Credential Scheme for Low-Altitude Flight), a lightweight credential system tailored for UAVs. DVA-ACLF leverages an efficient MAC-based construction combined with non-interactive zero-knowledge proofs to enable selective attribute disclosure without relying on pairings. It supports designated verification to prevent credential misuse and replay. Experimental results show that DVA-ACLF reduces credential size by 49% (2720 bits vs. 5369 bits in Idemix) and mitigates the linear growth of credential size with respect to attribute count observed in CL and BBS+ schemes. It requires only four single-base and$2(k-l)$double-base exponentiations on UAVs, where$k$is the number of selected attributes and$l$is the number of disclosed attributes—both typically small. These features make DVA-ACLF a strong candidate for secure, efficient, and privacy-preserving authentication in low-altitude flight applications.", "keywords": [ "Credential", "Authentication (law)", "Scheme (mathematics)", "Replay attack", "Revocation", "Mathematical proof", "Identity (music)" ], "cited_by_openalex": 2, "cited_by_scopus": "2", "eid": "2-s2.0-105026878116", "pii": null, "open_access_url": "https://doi.org/10.1109/tnse.2025.3649720", "sources": [ { "db": "openalex", "stream": "UAV", "query_id": "UAV-1" }, { "db": "scopus", "stream": "UAV", "query_id": "UAV-1" } ], "streams": [ "UAV" ], "relevance_signals": [ "UAV" ], "auto_exclude_reason": null, "screening_status": "pending_human_screening", "screened_by": "auto-v1.0.0" }, { "id": "doi:10.34229/2707-451x.25.4.3", "doi": "10.34229/2707-451x.25.4.3", "title": "Two-Level Algorithm for the UAV Routing Problem with Moving Targets", "year": 2025, "authors": [ "N. M. Skybytskyi" ], "first_author": "N. M. Skybytskyi", "venue": "Cybernetics and Computer Technologies", "volume": null, "pages": null, "type": "article", "language": "en", "abstract": "Introduction. UAV routing problems gain relevance considering expanding uses in the defense industry. Contrary to the civil aviation with static depots and end users, the problems arising in defense require drone routing with moving targets. The theory of differential games has extensively studied the problems related to pursuit of dynamic targets in the general case, but the resulting solutions are difficult to apply in practical scenarios. Hence combinatorial methods are needed for simplified practical models. In particular, we consider all targets to be moving with a constant velocity vector. This article proposes a two-level algorithm for the problem of routing a group of UAVs with moving targets. We compare different clustering methods, including clustering by position, velocity, and a combined approach. The purpose of the article is to show the superiority of a two-level algorithm over the classical algorithm in solution quality under certain conditions. Additionally, we establish the necessity of the combined clustering methods in the general case and predict a correspondence between optimal clustering methods and practical routing scenarios. Results. We established that a two-level algorithm is better than the original algorithm under clustering conditions. We developed software that can be used to solve instances of the UAVRP with moving targets. Conclusions. A two-level algorithm improves the process of routing a group of UAVs in pursuit of a group of moving targets. A combined clustering strategy proved superior for total route length minimization. Keywords: unmanned aerial vehicle, drone, route optimization, clustering methods.", "keywords": [ "Cluster analysis", "Routing (electronic design automation)", "Canopy clustering algorithm", "Correlation clustering", "Relevance (law)", "CURE data clustering algorithm", "Process (computing)" ], "cited_by_openalex": 2, "cited_by_scopus": 0, "eid": null, "pii": null, "open_access_url": "http://cctech.org.ua/images/docs/Articles/2025/paper_25_4_3.pdf", "sources": [ { "db": "openalex", "stream": "UAV", "query_id": "UAV-2" } ], "streams": [ "UAV" ], "relevance_signals": [ "UAV_NO_CTX" ], "auto_exclude_reason": "EC-4-topic", "screening_status": "auto_excluded", "screened_by": "auto-v1.0.0" }, { "id": "doi:10.1109/jiot.2025.3578613", "doi": "10.1109/jiot.2025.3578613", "title": "Energy-Optimized Path Planning for UAVs to Minimize Fleet Size in Time-Sensitive Data Collection Tasks", "year": 2025, "authors": [ "Yang Yu", "Sanghwan Lee" ], "first_author": "Yang Yu", "venue": "IEEE Internet of Things Journal", "volume": null, "pages": null, "type": "article", "language": "en", "abstract": "In this paper, we investigate the problem of completing data collection tasks for IoTDs (Internet of Things devices) using Unmanned Aerial Vehicles (UAVs) under the constraints of UAVbattery capacity and predefined data age. Our objective was to minimize UAV’s flight energy consumption by optimizing their trajectory allocation and achieve the research goal with the minimum number of UAVs. We transformed the multi-objective optimization problem (MOP) into a Traveling Salesman Problem with Neighborhoods (TSPN) by considering UAVs’ ability to collect data within the communication range of IoT devices. We studied two modes of data collection for UAVs: one in which they can only collect data during hovering and another in which they can collect data while hovering and moving simultaneously. We proposed two algorithms: UAV hovering data collection algorithm with neighborhood (UHDCN) and UAV moving data collection algorithm with neighborhood (UMDCN). We evaluate the performance of the proposed algorithms through extensive simulation experiments. The results demonstrate that UHDCN algorithm requires at least 4.8% fewer number of UAVs compared to existing algorithms, while UMDCN algorithm requires at least 22.2% fewer number of UAVs. Additionally, UHDCN algorithm consumes at least 4.9% less total energy compared to existing algorithms, while UMDCN algorithm consumes at least 22.8 less energy.", "keywords": [ "Computer science", "Data collection", "Motion planning", "Real-time computing", "Energy (signal processing)", "Path (computing)", "Simulation", "Computer network", "Artificial intelligence", "Robot" ], "cited_by_openalex": 2, "cited_by_scopus": 0, "eid": null, "pii": null, "open_access_url": "https://doi.org/10.1109/jiot.2025.3578613", "sources": [ { "db": "openalex", "stream": "UAV", "query_id": "UAV-2" } ], "streams": [ "UAV" ], "relevance_signals": [ "UAV_NO_CTX" ], "auto_exclude_reason": "EC-4-topic", "screening_status": "auto_excluded", "screened_by": "auto-v1.0.0" }, { "id": "doi:10.3390/info16100897", "doi": "10.3390/info16100897", "title": "Strategic Launch Pad Positioning: Optimizing Drone Path Planning Through Genetic Algorithms", "year": 2025, "authors": [ "Gregory Gasteratos", "Ioannis Karydis" ], "first_author": "Gregory Gasteratos", "venue": "Information", "volume": "16", "pages": null, "type": "article", "language": "en", "abstract": "Multi-drone operations face significant efficiency challenges when launch pad locations are predetermined without optimization, leading to suboptimal route configurations and increased travel distances. This research addresses launch pad positioning as a continuous planar location-routing problem (PLRP), developing a genetic algorithm framework integrated with multiple Traveling Salesman Problem (mTSP) solvers to optimize launch pad coordinates within operational areas. The methodology was evaluated through extensive experimentation involving over 17 million test executions across varying problem complexities and compared against brute-force optimization, Particle Swarm Optimization (PSO), and simulated annealing (SA) approaches. The results demonstrate that the genetic algorithm achieves 97–100% solution accuracy relative to exhaustive search methods while reducing computational requirements by four orders of magnitude, requiring an average of 527 iterations compared to 30,000 for PSO and 1000 for SA. Smart initialization strategies and adaptive termination criteria provide additional performance enhancements, reducing computational effort by 94% while maintaining 98.8% solution quality. Statistical validation confirms systematic improvements across all tested scenarios. This research establishes a validated methodological framework for continuous launch pad optimization in UAV operations, providing practical insights for real-world applications where both solution quality and computational efficiency are critical operational factors while acknowledging the simplified energy model limitations that warrant future research into more complex operational dynamics.", "keywords": [ "Genetic algorithm", "Initialization", "Particle swarm optimization", "Simulated annealing", "Drone", "Travelling salesman problem", "Motion planning", "Path (computing)" ], "cited_by_openalex": 1, "cited_by_scopus": "2", "eid": "2-s2.0-105020021132", "pii": null, "open_access_url": "https://www.mdpi.com/2078-2489/16/10/897/pdf?version=1760494434", "sources": [ { "db": "openalex", "stream": "UAV", "query_id": "UAV-2" }, { "db": "scopus", "stream": "UAV", "query_id": "UAV-2" } ], "streams": [ "UAV" ], "relevance_signals": [ "UAV_NO_CTX" ], "auto_exclude_reason": "EC-4-topic", "screening_status": "auto_excluded", "screened_by": "auto-v1.0.0" }, { "id": "doi:10.48550/arxiv.2501.09249", "doi": "10.48550/arxiv.2501.09249", "title": "A Dynamic Unmanned Aerial Vehicle Routing Framework for Urban Traffic Monitoring", "year": 2025, "authors": [ "Yumeng Bai", "Yiheng Feng" ], "first_author": "Yumeng Bai", "venue": "arXiv (Cornell University)", "volume": null, "pages": null, "type": "preprint", "language": "en", "abstract": "Unmanned Aerial Vehicles (UAVs) have great potential in urban traffic monitoring due to their rapid speed, cost-effectiveness, and extensive field-of-view, while being unconstrained by traffic congestion. However, their limited flight duration presents critical challenges in sustainable recharging strategies and efficient route planning in long-term monitoring tasks. Additionally, existing approaches for long-term monitoring often neglect the evolving nature of urban traffic networks. In this study, we introduce a novel dynamic UAV routing framework for long-term, network-wide urban traffic monitoring, leveraging existing ground vehicles as mobile charging stations without disrupting their operations. To address the complexity of long-term monitoring scenarios involving multiple flights, we decompose the problem into manageable single-flight tasks, in which each flight is modeled as a Team Arc Orienteering Problem with Decreasing Profits with the objective to collectively maximize the spatiotemporal network coverage. Between flights, we adaptively update the edge weights to incorporate real-time traffic changes and revisit intervals. We validate our framework through extensive microscopic simulations in a modified Sioux Falls network under various scenarios. Comparative results demonstrate that our model outperforms three baseline approaches, especially when historical information is incomplete or absent. Moreover, we show that our monitoring framework can capture network-wide traffic trends and construct accurate Macroscopic Fundamental Diagrams (MFDs). These findings demonstrate the effectiveness of the proposed dynamic UAV routing framework, underscoring its suitability for efficient and reliable long-term traffic monitoring. Our approach's adaptability and high accuracy in capturing the MFD highlight its potential in network-wide traffic control and management applications.", "keywords": [ "Routing (electronic design automation)", "Computer science", "Adaptive routing", "Transport engineering", "Vehicle routing problem", "Real-time computing", "Aeronautics", "Computer network", "Static routing", "Engineering", "Routing protocol" ], "cited_by_openalex": 2, "cited_by_scopus": 0, "eid": null, "pii": null, "open_access_url": "https://arxiv.org/pdf/2501.09249", "sources": [ { "db": "openalex", "stream": "UAV", "query_id": "UAV-2" } ], "streams": [ "UAV" ], "relevance_signals": [ "UAV_NO_CTX" ], "auto_exclude_reason": "EC-4-topic", "screening_status": "auto_excluded", "screened_by": "auto-v1.0.0" }, { "id": "doi:10.1016/j.trb.2025.103162", "doi": "10.1016/j.trb.2025.103162", "title": "Interactive biobjective optimization algorithms and an application to UAV routing in continuous space", "year": 2025, "authors": [ "Hannan Tureci-Isik", "Murat Köksalan", "Diclehan Tezcaner Öztürk" ], "first_author": "Hannan Tureci-Isik", "venue": "Transportation Research Part B Methodological", "volume": "193", "pages": null, "type": "article", "language": "en", "abstract": null, "keywords": [ "Space (punctuation)", "Routing (electronic design automation)", "Mathematical optimization", "Computer science", "Vehicle routing problem", "Algorithm", "Operations research", "Simulation", "Engineering", "Mathematics", "Computer network" ], "cited_by_openalex": 2, "cited_by_scopus": "2", "eid": "2-s2.0-85217079220", "pii": "S0191261525000116", "open_access_url": "https://doi.org/10.1016/j.trb.2025.103162", "sources": [ { "db": "openalex", "stream": "UAV", "query_id": "UAV-2" }, { "db": "scopus", "stream": "UAV", "query_id": "UAV-2" } ], "streams": [ "UAV" ], "relevance_signals": [ "UAV_NO_CTX" ], "auto_exclude_reason": "EC-4-topic", "screening_status": "auto_excluded", "screened_by": "auto-v1.0.0" }, { "id": "doi:10.1109/jiot.2025.3602147", "doi": "10.1109/jiot.2025.3602147", "title": "A Dual-Layer Deep Reinforcement Learning Routing Approach for Integrated UAV and Satellite IoT Networks", "year": 2025, "authors": [ "Fei Zheng", "Juzhong Wei", "Shichao Li", "Peng Yu", "Shaoyong Guo", "Jilong Zhao", "Yunhai Huang" ], "first_author": "Fei Zheng", "venue": "IEEE Internet of Things Journal", "volume": "13", "pages": "3630-3644", "type": "article", "language": "en", "abstract": "Internet of Things Devices (IoTDs) in remote areas connect to the Internet through Low Earth Orbit (LEO) satellites. The transmission of massive IoTDs data volumes leveraging satellites faces a critical challenge, as constrained bandwidth onboard significantly impacts the performance of time-sensitive applications. Moreover, due to the limited number of satellite-ground links and the capacity of satellite access devices, it is challenging to serve all IoTDs within the satellite network coverage. To tackle these challenges, we propose a dual-layer network architecture that integrates Satellite Internet of Things (SIoT) and Unmanned Aerial Vehicles (UAVs), where UAVs serve as transmission units and satellites serve as computing units to overcome the limitations of conventional SIoT. In the dual-layer network architecture, a dual-layer routing problem is formulated to ensure the rapid transmission of tasks, and the problem is further decomposed into UAV layer routing and LEO satellite layer routing. At the UAV layer, we propose a multitask concurrent routing strategy based on task segmentation according to path bandwidth to reduce link load and improve transmission efficiency. At the LEO satellite layer, an integrated computation-transmission routing strategy is introduced to mitigate onboard bandwidth constraints through computational capabilities, thereby reducing transmitted data volume and significantly enhancing transmission efficiency. We transform the problem into a Markov Decision Process (MDP) for each layer and solve the problem using Deep Reinforcement Learning (DRL). To enhance the performance, we introduce improvements to the route algorithm. In the UAV layer, we introduce channel state averaging to reduce algorithmic complexity. In the LEO layer, we employ Prioritized Trajectory Replay (PTR) to improve learning efficiency, while a loss constraint is introduced to enhance training stability. Simulation results demonstrate that the proposed algorithm outperforms other algorithms in terms of convergence performance and overall delay.", "keywords": [ "Computer science", "Reinforcement learning", "Satellite", "Routing (electronic design automation)", "Dual (grammatical number)", "Layer (electronics)", "Computer network", "Communications satellite", "Artificial intelligence", "Distributed computing", "Engineering" ], "cited_by_openalex": 4, "cited_by_scopus": "2", "eid": "2-s2.0-105014528225", "pii": null, "open_access_url": "https://doi.org/10.1109/jiot.2025.3602147", "sources": [ { "db": "openalex", "stream": "UAV", "query_id": "UAV-2" }, { "db": "scopus", "stream": "UAV", "query_id": "UAV-2" } ], "streams": [ "UAV" ], "relevance_signals": [ "UAV_NO_CTX" ], "auto_exclude_reason": "EC-4-topic", "screening_status": "auto_excluded", "screened_by": "auto-v1.0.0" }, { "id": "doi:10.1016/j.cie.2025.111669", "doi": "10.1016/j.cie.2025.111669", "title": "Benders decomposition-based solution approach for periodic relief distribution with dynamic deprivation time modelling", "year": 2025, "authors": [ "Sanaz Khalaj Rahimi", "Donya Rahmani", "Tom Van Woensel" ], "first_author": "Sanaz Khalaj Rahimi", "venue": "Computers & Industrial Engineering", "volume": "212", "pages": null, "type": "article", "language": "en", "abstract": null, "keywords": [ "Vehicle routing problem", "Heuristic", "Routing (electronic design automation)", "Humanitarian Logistics", "Pickup", "Emergency management", "Duration (music)", "Relief Work" ], "cited_by_openalex": 2, "cited_by_scopus": "2", "eid": "2-s2.0-105024204060", "pii": "S0360835225008150", "open_access_url": "https://research.tue.nl/en/publications/11eb6d5e-d473-467d-a963-999ae025bc34", "sources": [ { "db": "openalex", "stream": "UAV", "query_id": "UAV-2" }, { "db": "scopus", "stream": "UAV", "query_id": "UAV-2" } ], "streams": [ "UAV" ], "relevance_signals": [ "NO_TECHNOLOGY_MATCH" ], "auto_exclude_reason": "EC-4-topic", "screening_status": "auto_excluded", "screened_by": "auto-v1.0.0" }, { "id": "doi:10.2514/6.2025-3411", "doi": "10.2514/6.2025-3411", "title": "Bandit-Enabled Dynamic Vehicle Dispatch and Routing in Hazardous Environments", "year": 2025, "authors": [ "Jimin Choi", "Max Z. Li" ], "first_author": "Jimin Choi", "venue": "AIAA Aviation Forum and Ascend 2025", "volume": null, "pages": null, "type": "conference-paper", "language": "en", "abstract": "This paper presents a decision-making framework for autonomous vehicle dispatch in hazardous environments with uncertain and evolving risk levels. The system integrates a Bayesian Upper Confidence Bound (BUCB) sensing strategy with task-specific vehicle routing problems with profits (VRPP), enabling adaptive coordination of unmanned aerial vehicles (UAVs) for hazard sensing and unmanned ground vehicles (UGVs) for cleaning. Using VRPP allows selective site visits under resource constraints by assigning each site a profit value that reflects sensing or cleaning priorities. Site-level hazard beliefs are maintained through a time-weighted Bayesian update. BUCB scores guide UAV routing to balance exploration and exploitation under uncertainty, while UGV routes are optimized to maximize expected hazard reduction under resource constraints. Simulation results show that the proposed method consistently reduces cumulative hazard, maintains accurate belief tracking, and scales effectively across different problem settings. The results underscore the importance of uncertainty-aware planning and joint routing strategies for reliable hazard mitigation.", "keywords": [ "Hazardous waste", "Routing (electronic design automation)", "Computer science", "Vehicle routing problem", "Computer network", "Engineering", "Waste management" ], "cited_by_openalex": 3, "cited_by_scopus": "2", "eid": "2-s2.0-105017956041", "pii": null, "open_access_url": "https://doi.org/10.2514/6.2025-3411", "sources": [ { "db": "openalex", "stream": "UAV", "query_id": "UAV-2" }, { "db": "scopus", "stream": "UAV", "query_id": "UAV-2" } ], "streams": [ "UAV" ], "relevance_signals": [ "UAV_NO_CTX" ], "auto_exclude_reason": "EC-4-topic", "screening_status": "auto_excluded", "screened_by": "auto-v1.0.0" }, { "id": "doi:10.2514/6.2025-1612", "doi": "10.2514/6.2025-1612", "title": "Cooperative Mission Allocation in MUM-T Search and Destroy Operation With Transformer-Based Deep Reinforcement Learning", "year": 2025, "authors": [ "Bo Hoon Moon", "Jun Hyeok Ji", "HyeonJun Lee", "Aye Aye Maw", "Jae-Woo Lee" ], "first_author": "Bo Hoon Moon", "venue": "AIAA Science and Technology Forum and Exposition AIAA Scitech Forum 2025", "volume": null, "pages": null, "type": "conference-paper", "language": "en", "abstract": "In complex and diverse mission environments such as MUM-T (Manned-Unmanned-Teaming) systems, mission allocation of air assets must be conducted quickly and efficiently by the operator. This study addresses the mission allocation problem in WASD (Wide Area Search and Destroy) operations involving manned helicopters and Unmanned Air Vehicles (UAVs). In this scenario, UAVs are tasked with surveilling multiple unidentified Region of Interests (ROIs), while the manned helicopter conducts strike operations on enemy targets based on the gathered reconnaissance data. To enhance reconnaissance efficiency and operational safety, the Standoff-Sweep methodology is employed for UAVs, enabling systematic mission distance calculation and complete coverage of ROIs while maintaining a safe standoff distance. The mission allocation problem in each operational phase is formulated as combinatorial optimization problems, specifically variants of the Vehicle Routing Problem (VRP) such as the Split-Delivery VRP (SDVRP) and Capacitated VRP (CVRP). To solve these problems using deep reinforcement learning, a Policy Neural Network incorporating an Encoder-Decoder architecture with Multi-Head Attention mechanisms is trained using the REINFORCE-baseline algorithm. The proposed methodology enables the acquisition of approximate solutions to the mission allocation problem formulated as a combinatorial optimization problem in a shorter time compared to traditional heuristic algorithms.", "keywords": [ "Reinforcement learning", "Transformer", "Reinforcement", "Computer science", "Artificial intelligence", "Engineering", "Electrical engineering", "Voltage", "Structural engineering" ], "cited_by_openalex": 1, "cited_by_scopus": "2", "eid": "2-s2.0-105001364148", "pii": null, "open_access_url": "https://doi.org/10.2514/6.2025-1612", "sources": [ { "db": "openalex", "stream": "UAV", "query_id": "UAV-2" }, { "db": "scopus", "stream": "UAV", "query_id": "UAV-2" } ], "streams": [ "UAV" ], "relevance_signals": [ "UAV_NO_CTX" ], "auto_exclude_reason": "EC-4-topic", "screening_status": "auto_excluded", "screened_by": "auto-v1.0.0" }, { "id": "doi:10.3390/drones10010010", "doi": "10.3390/drones10010010", "title": "A Chimpanzee Troop-Inspired Algorithm for Multiple Unmanned Aerial Vehicles on Patrolling Missions", "year": 2025, "authors": [ "Ebtesam Aloboud", "Heba A. Kurdi" ], "first_author": "Ebtesam Aloboud", "venue": "Drones", "volume": null, "pages": null, "type": "article", "language": "en", "abstract": "Persistent patrolling with multiple Unmanned Aerial Vehicles (UAVs) remains challenging due to dynamic surveillance priorities, heterogeneous node importance, and evolving operational constraints. We present the novel Chimpanzee Troop Algorithm for Patrolling (CTAP), a decentralized policy inspired by chimpanzees fission–fusion dynamics and territorial behavior. CTAP provides three capabilities: (i) on-the-fly patrol-group instantiation, (ii) importance-aware territorial partitioning of the patrol graph, and (iii) adaptive boundary expansion via a lightweight shared-memory overlay that coordinates neighboring groups without centralization. Unlike the Ant Colony Optimization (ACO), Heuristic Pathfinder Conscientious Cognitive (HPCC), Recurrent LSTM Path-Maker (RLPM), State-Exchange Bayesian Strategy (SEBS), and Dynamic Task Assignment via Auctions (DTAP) baselines, CTAP couples local-idleness reduction with controlled edge-exploration, yielding stable coverage under shifting demand. We evaluate these approaches across multiple maps and fleet sizes using the average weighted idleness, global worst-weighted idleness, and Time-Normalized Idleness metrics. CTAP reduces the average weighted idleness by 7% to 22% and the global worst-weighted idleness by 30–65% relative to the strongest competitor and attains the lowest Time-Normalized Idleness in every configuration. These results show that a simple, communication-limited, partition-based policy enables robust, scalable patrolling suitable for resource-constrained UAV teams in smart-city environments.", "keywords": [ "Patrolling", "Task (project management)", "Heuristic", "Scalability", "Contiguity", "Node (physics)", "Drone", "Ant colony", "Path (computing)" ], "cited_by_openalex": 2, "cited_by_scopus": 0, "eid": null, "pii": null, "open_access_url": "https://doi.org/10.3390/drones10010010", "sources": [ { "db": "openalex", "stream": "UAV", "query_id": "UAV-2" } ], "streams": [ "UAV" ], "relevance_signals": [ "UAV_NO_CTX" ], "auto_exclude_reason": "EC-4-topic", "screening_status": "auto_excluded", "screened_by": "auto-v1.0.0" }, { "id": "doi:10.1109/jiot.2025.3525985", "doi": "10.1109/jiot.2025.3525985", "title": "Adaptive Probabilistic Planning for the Uncertain and Dynamic Orienteering Problem", "year": 2025, "authors": [ "Qiuchen Qian", "Yanran Wang", "David Edward Boyle" ], "first_author": "Qiuchen Qian", "venue": "IEEE Internet of Things Journal", "volume": "12", "pages": "13988-14001", "type": "article", "language": "en", "abstract": "The orienteering problem (OP) is a well-studied routing problem that has been extended to incorporate uncertainties, reflecting stochastic or dynamic travel costs, prize-collection costs, and prizes. Existing approaches may, however, be inefficient in real-world applications due to insufficient modeling knowledge and initially unknowable parameters in online scenarios. Thus, we propose the uncertain and dynamic OP (UDOP), modeling travel costs as distributions with unknown and time-variant parameters. UDOP also associates uncertain travel costs with dynamic prizes and prize-collection costs for its objective and budget constraints. To address UDOP, we develop an Adaptive Approach for Probabilistic paths (ADAPT), iteratively performing “execution” and “online planning” based on an initial “offline” solution. The execution phase updates the system status and records online cost observations. The online planner employs a Bayesian approach to adaptively estimate power consumption and optimize path sequence based on safety beliefs. We evaluate ADAPT in a practical autonomous aerial vehicle charging scheduling problem (CSP) for wireless rechargeable sensor networks (WRSNs). The UAV must optimize its path to recharge sensor nodes efficiently while managing its energy under uncertain conditions. ADAPT maintains comparable solution quality and computation time while offering superior robustness. Extensive simulations show that ADAPT achieves a 100% mission success rate (MSR) across all tested scenarios, outperforming comparable heuristic-based and frequentist approaches that fail up to 70% (under challenging conditions) and averaging 67% MSR, respectively. This work advances the field of OP with uncertainties, offering a reliable and efficient approach for real-world applications in uncertain and dynamic environments.", "keywords": [ "Orienteering", "Computer science", "Probabilistic logic", "Mathematical optimization", "Artificial intelligence", "Mathematics" ], "cited_by_openalex": 3, "cited_by_scopus": "2", "eid": "2-s2.0-85215434663", "pii": null, "open_access_url": "https://doi.org/10.1109/jiot.2025.3525985", "sources": [ { "db": "openalex", "stream": "UAV", "query_id": "UAV-2" }, { "db": "scopus", "stream": "UAV", "query_id": "UAV-2" } ], "streams": [ "UAV" ], "relevance_signals": [ "UAV_NO_CTX" ], "auto_exclude_reason": "EC-4-topic", "screening_status": "auto_excluded", "screened_by": "auto-v1.0.0" }, { "id": "doi:10.1109/iccc65529.2025.11149011", "doi": "10.1109/iccc65529.2025.11149011", "title": "Trusted Routing for Blockchain-Enabled Low-Altitude Intelligent Networks", "year": 2025, "authors": [ "Sijie He", "Ziye Jia", "Qiuming Zhu", "Fuhui Zhou", "Qihui Wu" ], "first_author": "Sijie He", "venue": "2025 IEEE Cic International Conference on Communications in China Shaping the Future of Integrated Connectivity Iccc 2025", "volume": null, "pages": null, "type": "conference-paper", "language": "en", "abstract": "Due to the scalability and portability, the low-altitude intelligent networks (LAINs) are essential in various fields such as surveillance and disaster rescue. However, in LAINs, unmanned aerial vehicles (UAVs) are characterized by the distributed topology and high dynamic mobility, and vulnerable to security threats, which may degrade the routing performance for data transmission. Hence, how to ensure the routing stability and security of LAINs is a challenge. In this paper, we focus on the routing process in LAINs with multiple UAV clusters and propose the blockchain-enabled zero-trust architecture to manage the joining and exiting of UAVs. Furthermore, we formulate the routing problem to minimize the end-to-end (E2E) delay, which is an integer linear programming and intractable to solve. Therefore, considering the distribution of LAINs, we reformulate the routing problem into a decentralized partially observable Markov decision process. With the proposed soft hierarchical experience replay buffer, the multi-agent double deep Q-network based adaptive routing algorithm is designed. Finally, simulations are conducted and numerical results show that the total E2E delay of the proposed mechanism decreases by 22.38% than the benchmark on average.", "keywords": [ "Static routing", "Dynamic Source Routing", "Routing (electronic design automation)", "Policy-based routing", "Link-state routing protocol", "Hierarchical routing", "Multipath routing", "Scalability", "Benchmark (surveying)" ], "cited_by_openalex": 0, "cited_by_scopus": "2", "eid": "2-s2.0-105017780195", "pii": null, "open_access_url": "https://doi.org/10.1109/iccc65529.2025.11149011", "sources": [ { "db": "openalex", "stream": "UAV", "query_id": "UAV-2" }, { "db": "scopus", "stream": "UAV", "query_id": "UAV-2" } ], "streams": [ "UAV" ], "relevance_signals": [ "UAV_NO_CTX" ], "auto_exclude_reason": "EC-4-topic", "screening_status": "auto_excluded", "screened_by": "auto-v1.0.0" }, { "id": "doi:10.4050/f-0081-2025-0052", "doi": "10.4050/f-0081-2025-0052", "title": "A Numerical Study of Synthetic Turbulence Interaction with Unsteady Vertiport Environment", "year": 2025, "authors": [ "Alireza Maleki", "Vladimir V. Golubev", "Reda R. Mankbadi" ], "first_author": "Alireza Maleki", "venue": null, "volume": null, "pages": null, "type": "conference-paper", "language": "en", "abstract": "This study presents the development and application of a refined momentum source term methodology for synthetic turbulence generation in urban flow simulations. By embedding divergence-free, three-dimensional turbulence fields consistent with the von Kármán energy spectrum directly within the computational domain, the approach enables flexible and efficient turbulence generation with minimal sensitivity to grid stretching. The method is validated through Large Eddy Simulations (LES) of flow around a representative urban vertiport model under varying turbulence intensities (10%, 20%, and 30%). Results demonstrate that the generated synthetic turbulence significantly alters the flow field, reducing recirculation zones, promoting earlier shear-layer reattachment, and stabilizing the flow above the vertiport platform—key factors for safe eVTOL operations. Instantaneous flow analyses reveal that secondary tip vortices (STVs) persist even in the presence of strong inflow turbulence but lose their periodicity, explaining discrepancies with prior spectral analyses. Overall, the momentum source term approach offers a practical and effective tool for modeling atmospheric turbulence and gust conditions in urban air mobility and rotorcraft simulations.", "keywords": [ "Turbulence", "Computer science", "Statistical physics", "Mechanics", "Physics" ], "cited_by_openalex": 2, "cited_by_scopus": 0, "eid": null, "pii": null, "open_access_url": "https://doi.org/10.4050/f-0081-2025-0052", "sources": [ { "db": "openalex", "stream": "UAV", "query_id": "UAV-3" } ], "streams": [ "UAV" ], "relevance_signals": [ "UAV_NO_CTX" ], "auto_exclude_reason": "EC-4-topic", "screening_status": "auto_excluded", "screened_by": "auto-v1.0.0" }, { "id": "doi:10.3390/aerospace12050386", "doi": "10.3390/aerospace12050386", "title": "Incremental GA-Based 3D Trajectory Optimization for Powered Parachute Aerial Delivery Systems", "year": 2025, "authors": [ "Hanafy Mohammad Omar", "Ayman Hamdy KASSEM" ], "first_author": "Hanafy Mohammad Omar", "venue": "Aerospace", "volume": "12", "pages": null, "type": "article", "language": "en", "abstract": "This paper presents an offline optimal trajectory planning method for powered parachutes (PPCs) using dynamic model simulations, emphasizing their potential in applications such as remote sensing and aerial delivery systems. A six-degrees-of-freedom (6-DOF) dynamic model of the PPC is developed, complemented by a novel optimization technique called Incremented Genetic Algorithms (IGA). IGA improve the computational efficiency by dynamically increasing the number of variables only when optimization goals are unmet, eliminating the need to predefine input variable counts. This approach significantly reduces the computational time and CPU usage while maintaining cost-effectiveness for 3D trajectory planning. The proposed method was validated on three trajectories under diverse constraints, including the time, position, and predefined obstacles. The results demonstrate that IGA can effectively generate optimal trajectories using a single control parameter (the parachute steering angle) and a minimal number of control points, showcasing its practicality and efficiency.", "keywords": [ "Trajectory", "Trajectory optimization", "Aerospace engineering", "Computer science", "Aeronautics", "Simulation", "Engineering", "Physics" ], "cited_by_openalex": 2, "cited_by_scopus": "2", "eid": "2-s2.0-105006507738", "pii": null, "open_access_url": "https://www.mdpi.com/2226-4310/12/5/386/pdf?version=1745922963", "sources": [ { "db": "openalex", "stream": "UAV", "query_id": "UAV-3" }, { "db": "scopus", "stream": "UAV", "query_id": "UAV-3" } ], "streams": [ "UAV" ], "relevance_signals": [ "UAV_NO_CTX" ], "auto_exclude_reason": "EC-4-topic", "screening_status": "auto_excluded", "screened_by": "auto-v1.0.0" }, { "id": "doi:10.1016/j.ast.2025.111180", "doi": "10.1016/j.ast.2025.111180", "title": "Vision-aided Sensing Pipeline with AI-based vertiport detection for Precision Navigation in UAM Approach and Landing Scenarios", "year": 2025, "authors": [ "Enrico Miccio", "Paolo Veneruso", "Roberto Opromolla", "Giancarmine Fasano", "Carlo Tiana", "Giacomo Gentile" ], "first_author": "Enrico Miccio", "venue": "Aerospace Science and Technology", "volume": "168", "pages": null, "type": "article", "language": "en", "abstract": "This paper presents an original vision-aided, multi-sensor navigation architecture to support approach and landing procedures of Vertical Take-Off and Landing aircraft to vertiports in Urban Air Mobility scenarios. The architecture relies on an Extended Kalman filter integrating inertial measurements with positioning information provided by GNSS or GNSS/visual processing, depending on the distance from the landing pad. Indeed, visual-based measurements allow improving the accuracy and the integrity of the navigation filter output, especially at close distances from the landing areas. The visual processing pipeline relies on a two-camera configuration designed to ensure continuous coverage of the landing pad along an approach trajectory which is compliant with the existing guidelines. Regarding the landing pad, an original configuration with multi-scale fiducial markers is considered, which is obtained modifying the one proposed by the European Aviation Safety Agency so as to enable both manned and unmanned operations. From the algorithmic perspective, different processing blocks are customized and combined within the sensing pipeline paying particular attention to the timely detection and removal of anomalous measurements as well as to the compliance of the estimated uncertainty with navigation performance requirements during landing operations. Landing area detection is entrusted to an ad hoc Convolutional Neural Network trained on the basis of the operational domain. Then, custom motion-aware image processing methodologies are used to detect, match, and track visual landmarks which are then used to solve a perspective-n-points problem through an iterative non linear least squares strategy. Analysis of residuals, as well as covariance-based checks on the difference between predictions and estimates, are used before feeding the visual solution into the filter, thus providing protection against outliers in the visual-based pose estimation process. Performance assessment is first carried out by means of numerical simulations within a high-fidelity virtual environment able to realistically reproduce aircraft dynamics, sensors’ operation, illumination and weather conditions. Such analysis is then complemented by tests conducted on real images taken during an experimental flight test campaign with a small unmanned aerial vehicle.", "keywords": [ "Pipeline (software)", "Pipeline transport", "Noise (video)" ], "cited_by_openalex": 3, "cited_by_scopus": "2", "eid": "2-s2.0-105022494065", "pii": "S127096382501243X", "open_access_url": "https://doi.org/10.1016/j.ast.2025.111180", "sources": [ { "db": "openalex", "stream": "UAV", "query_id": "UAV-3" }, { "db": "scopus", "stream": "UAV", "query_id": "UAV-3" } ], "streams": [ "UAV" ], "relevance_signals": [ "UAV_NO_CTX" ], "auto_exclude_reason": "EC-4-topic", "screening_status": "auto_excluded", "screened_by": "auto-v1.0.0" }, { "id": "doi:10.1109/iros60139.2025.11246384", "doi": "10.1109/iros60139.2025.11246384", "title": "Fully Autonomous Dual Arm Aerial Delivery Robot for Intralogistics: the euROBIN Nancy Competition Flight Dataset", "year": 2025, "authors": [ "Alejandro Suárez", "Jorge Pozas-Guerra", "Raúl Tapia", "Anı́bal Ollero" ], "first_author": "Alejandro Suárez", "venue": "IEEE International Conference on Intelligent Robots and Systems", "volume": null, "pages": "13147-13153", "type": "conference-paper", "language": null, "abstract": "This paper presents the design, development, and validation of a fully autonomous dual-arm aerial robot capable of mapping, localizing, planning, and grasping parcels in an intra-logistics scenario. The aerial robot is intended to operate in a scenario comprising several supply points, delivery points, parcels with tags, and obstacles, generating the mission plan from the voice commands given by the user. The paper derives a transferability model of the scenario, the robot, and the task, so that the proposed system design can be generalized to different scenarios (environment transfer) and platforms (embodiment transfer). The proposed transferable system architecture allows the integration of software modules managed by the Aerial Delivery Robot Operations Manager (ADROM) through the Module Interface Instances (MII) that handle the requests and the signals involved during the execution of the operation. The performance of the developed system was evaluated as part of the euROBIN Nancy Competition, conducting more than 50 flight tests. The software modules are open source, making the flight dataset also publicly available.", "keywords": [ "Robot", "Interface (matter)", "Software", "Plan (archaeology)", "Dual (grammatical number)", "Software architecture", "Systems architecture", "Robotics", "Architecture" ], "cited_by_openalex": 2, "cited_by_scopus": "2", "eid": "2-s2.0-105029949710", "pii": null, "open_access_url": "https://doi.org/10.1109/iros60139.2025.11246384", "sources": [ { "db": "openalex", "stream": "UAV", "query_id": "UAV-3" }, { "db": "scopus", "stream": "UAV", "query_id": "UAV-3" } ], "streams": [ "UAV" ], "relevance_signals": [ "UAV_NO_CTX" ], "auto_exclude_reason": "EC-4-topic", "screening_status": "auto_excluded", "screened_by": "auto-v1.0.0" }, { "id": "doi:10.3390/aerospace12080672", "doi": "10.3390/aerospace12080672", "title": "Research of Hierarchical Vertiport Location Based on Lagrange Relaxation", "year": 2025, "authors": [ "Yuzhen Guo", "Junjie Yao", "Jing Hua Jiang", "Dongxiao Qiao" ], "first_author": "Yuzhen Guo", "venue": "Aerospace", "volume": "12", "pages": null, "type": "article", "language": "en", "abstract": "With the rise of the low-altitude urban traffic system, urban air mobility (UAM) has developed rapidly. As a critical component of the UAM system, the strategic layout of vertiports helps divert ground traffic pressure. To satisfy various demand patterns, different vertiport levels are needed, so we focus on the hierarchical vertiport location problem. Considering the capacity limitation, a median location model is established to minimize vertiport construction cost, passenger commuting cost, and penalty cost. For the nonlinear term in the objective function, the Big-M method is employed. Based on the reformulated model, we improve the branch-and-bound algorithm (LVBB) to solve it, where the Lagrange relaxation method is used to decompose the large-scale problem into parallel subproblems and compute the lower bound, and the variable neighborhood search algorithm is used to obtain the upper bound. Numerical experiments are performed in the 11 administrative districts of Nanjing, China. The results demonstrate that the proposed location scheme effectively balances vertiport construction cost and passenger commuting cost while satisfying capacity limitations. It also significantly reduces commuting time to improve passenger satisfaction. This scheme can offer strategic guidance for infrastructure planning in UAM.", "keywords": [ "Relaxation (psychology)", "Computer science", "Statistical physics", "Mathematics", "Psychology", "Physics", "Social psychology" ], "cited_by_openalex": 1, "cited_by_scopus": "2", "eid": "2-s2.0-105014525112", "pii": null, "open_access_url": "https://www.mdpi.com/2226-4310/12/8/672/pdf?version=1753700444", "sources": [ { "db": "openalex", "stream": "UAV", "query_id": "UAV-3" }, { "db": "scopus", "stream": "UAV", "query_id": "UAV-3" } ], "streams": [ "UAV" ], "relevance_signals": [ "UAV_NO_CTX" ], "auto_exclude_reason": "EC-4-topic", "screening_status": "auto_excluded", "screened_by": "auto-v1.0.0" }, { "id": "doi:10.2514/6.2025-2370", "doi": "10.2514/6.2025-2370", "title": "How to Integrate Vertiport Operations Into the Airspace? Introducing the EUREKA Project", "year": 2025, "authors": [ "Bianca Isabella Schuchardt", "Thu Hang Vu", "Alberto Mangas", "César Nava", "Giovanni Riccardi", "Marie Kolago", "Abul Hassan Abdullah", "Paolo Cappello", "Marsel Omeri" ], "first_author": "Bianca Isabella Schuchardt", "venue": "AIAA Science and Technology Forum and Exposition AIAA Scitech Forum 2025", "volume": null, "pages": null, "type": "conference-paper", "language": "en", "abstract": "Innovative Air Mobility (IAM), as envisioned by the European Aviation Safety Agency, is “the safe, secure and sustainable air mobility of passengers and cargo enabled by new-generation technologies integrated into multimodal transportation system.” Vertiports, new aircraft and new air traffic management systems are essential for implementing IAM. The European project EUREKA, running from 2023 to 2026, aims at enabling key solutions for vertiports. Solutions for arrival and departure for vertiports, collaborative traffic management, how to deal with emergencies and disruptions also the network flow, capacity and operational management are developed in the project. This paper introduces the EUREKA project and reports on the early progress.", "keywords": [ "Computer science", "Aeronautics", "Systems engineering", "Engineering" ], "cited_by_openalex": 1, "cited_by_scopus": "2", "eid": "2-s2.0-105001225554", "pii": null, "open_access_url": "https://elib.dlr.de/214113/1/EUREKA_Paper_SciTech2025_full_paper_1.0.pdf", "sources": [ { "db": "openalex", "stream": "UAV", "query_id": "UAV-3" }, { "db": "scopus", "stream": "UAV", "query_id": "UAV-3" } ], "streams": [ "UAV" ], "relevance_signals": [ "UAV_NO_CTX" ], "auto_exclude_reason": "EC-4-topic", "screening_status": "auto_excluded", "screened_by": "auto-v1.0.0" }, { "id": "doi:10.2139/ssrn.5343371", "doi": "10.2139/ssrn.5343371", "title": "Integrating Urban Air Mobility with Highway Infrastructure: A Strategic Approach for Vertiport Location Selection in the Seoul Metropolitan Area", "year": 2025, "authors": [ "Donghyun Yoon", "Minwoo Jeong", "Jinyong Lee", "Seyun Kim", "Yoonjin Yoon" ], "first_author": "Donghyun Yoon", "venue": "SSRN Electronic Journal", "volume": null, "pages": null, "type": "preprint", "language": null, "abstract": null, "keywords": [ "Metropolitan area", "Selection (genetic algorithm)", "Air pollution", "Urban area", "Megacity", "Population" ], "cited_by_openalex": 2, "cited_by_scopus": 0, "eid": null, "pii": null, "open_access_url": "https://doi.org/10.2139/ssrn.5343371", "sources": [ { "db": "openalex", "stream": "UAV", "query_id": "UAV-3" } ], "streams": [ "UAV" ], "relevance_signals": [ "UAV_NO_CTX" ], "auto_exclude_reason": "EC-4-topic", "screening_status": "auto_excluded", "screened_by": "auto-v1.0.0" }, { "id": "doi:10.58940/2374-6793.1976", "doi": "10.58940/2374-6793.1976", "title": "Consumer Preferences and Willingness to Pay for Vertiport Design, Amenities, and Services", "year": 2025, "authors": [ "David Carl Ison" ], "first_author": "David Carl Ison", "venue": "International Journal of Aviation Aeronautics and Aerospace", "volume": "12", "pages": "1-27", "type": "article", "language": "en", "abstract": "The rise of urban air mobility (UAM) and electric vertical takeoff and landing (eVTOL) aircraft necessitates the development of well-designed vertiports that align with consumer expectations. This study examines consumer preferences and willingness to pay (WTP) for vertiport design, amenities, and services to inform infrastructure planning and investment strategies. Using a survey-based quantitative research design, data were collected from 500 participants to assess key factors influencing WTP, including convenience, security measures, service efficiency, and premium offerings. Findings indicate that location accessibility, affordability, and streamlined security procedures are primary determinants of vertiport adoption. While aesthetic and retail enhancements contribute to passenger experience, practical features such as climate control, intuitive wayfinding, and noise reduction were rated as more critical. Additionally, three consumer segments were identified—cost-sensitive users, convenience-oriented users, and premium experience seekers—highlighting the need for tiered service models. The study underscores the importance of integrating vertiport infrastructure with existing transportation networks while ensuring a balance between operational efficiency and passenger comfort. These insights provide guidance for policymakers, UAM operators, and urban planners in designing consumer-centric vertiport systems that enhance market acceptance and financial viability.", "keywords": [ "Willingness to pay", "Business", "Marketing", "Consumer satisfaction", "Advertising", "Economics", "Microeconomics" ], "cited_by_openalex": 1, "cited_by_scopus": "2", "eid": "2-s2.0-105003892342", "pii": null, "open_access_url": "https://commons.erau.edu/cgi/viewcontent.cgi?article=1976&context=ijaaa", "sources": [ { "db": "openalex", "stream": "UAV", "query_id": "UAV-3" }, { "db": "scopus", "stream": "UAV", "query_id": "UAV-3" } ], "streams": [ "UAV" ], "relevance_signals": [ "UAV_NO_CTX" ], "auto_exclude_reason": "EC-4-topic", "screening_status": "auto_excluded", "screened_by": "auto-v1.0.0" }, { "id": "doi:10.1016/j.tre.2025.104548", "doi": "10.1016/j.tre.2025.104548", "title": "Rolling horizon optimization of urban air mobility (UAM) service with shared riding, vertiport-airspace capacity, and recharge: a mathematical model and efficient heuristic", "year": 2025, "authors": [ "Hyeseon Han", "Byung Duk Song" ], "first_author": "Hyeseon Han", "venue": "Transportation Research Part E Logistics and Transportation Review", "volume": "206", "pages": null, "type": "article", "language": "en", "abstract": null, "keywords": [ "Heuristic", "Sensitivity (control systems)", "Genetic algorithm", "Particle swarm optimization", "Time horizon", "Schedule", "Scalability", "Linear programming", "Pooling" ], "cited_by_openalex": 3, "cited_by_scopus": "2", "eid": "2-s2.0-105022791651", "pii": "S1366554525005769", "open_access_url": "https://doi.org/10.1016/j.tre.2025.104548", "sources": [ { "db": "openalex", "stream": "UAV", "query_id": "UAV-3" }, { "db": "scopus", "stream": "UAV", "query_id": "UAV-3" } ], "streams": [ "UAV" ], "relevance_signals": [ "UAV_NO_CTX" ], "auto_exclude_reason": "EC-4-topic", "screening_status": "auto_excluded", "screened_by": "auto-v1.0.0" }, { "id": "doi:10.2514/6.2025-2784", "doi": "10.2514/6.2025-2784", "title": "Data-Driven Approach Toward Vertiport Placement for Urban Air Mobility Operations: Case Studies in South Korea", "year": 2025, "authors": [ "Shinkook Cha", "J.S. Lee", "Chungho Park", "Yujin Kim", "Young-Jae Lee", "Junghyun A. Kim" ], "first_author": "Shinkook Cha", "venue": "AIAA Science and Technology Forum and Exposition AIAA Scitech Forum 2025", "volume": null, "pages": null, "type": "conference-paper", "language": "en", "abstract": "With the rapid emergence of Urban Air Mobility (UAM) around the world, the Korean government has recognized its potential and recently unveiled the first official roadmap for UAM as the future transportation system. One of the key challenges in implementing the UAM service on the Korean peninsula is to identify optimal locations for vertiports. This research proposes a data-driven framework, which consists of two key components: 1) vertiport placement using an unsupervised learning-based clustering approach and 2) what-if scenario analysis comparing UAM with existing transportation modes, to support decision-making by the Korean government when operational needs for UAM in South Korea will be required. The framework specifically includes several stages, including case formulation (i.e., leisure, emergency medical service, and logistics), data preparation, vertiport placement, and what-if scenario analysis (e.g., ambulance vs. doctor helicopter vs. UAM). The results indicate significant time savings for all the scenarios compared to the current transportation options. Although it seems that UAM usage is beneficial for all the scenarios with respect to travel times, it is important to emphasize the need to balance between time savings and operational costs when evaluating feasibility. The authors believe that the framework can be considered as a decision support tool for the Korean government to assess various operational initiatives or strategies; therefore, they can make an informed decision for effective implementations of the upcoming UAM operations in South Korea.", "keywords": [ "Computer science" ], "cited_by_openalex": 1, "cited_by_scopus": "2", "eid": "2-s2.0-105001398524", "pii": null, "open_access_url": "https://doi.org/10.2514/6.2025-2784", "sources": [ { "db": "openalex", "stream": "UAV", "query_id": "UAV-3" }, { "db": "scopus", "stream": "UAV", "query_id": "UAV-3" } ], "streams": [ "UAV" ], "relevance_signals": [ "UAV_NO_CTX" ], "auto_exclude_reason": "EC-4-topic", "screening_status": "auto_excluded", "screened_by": "auto-v1.0.0" }, { "id": "doi:10.4186/ej.2025.29.11.23", "doi": "10.4186/ej.2025.29.11.23", "title": "Integer Linear Programming for Optimizing Drone-Based Delivery Routes", "year": 2025, "authors": [ "Renata Lopes Rosa", "Muhammad Saadi", "Demóstenes Zegarra Rodríguez", "Lai Ti Gew", "Rosdiadee Nordin", "Raja Affendi Raja Ali", "Long Chiau Ming" ], "first_author": "Renata Lopes Rosa", "venue": "Engineering Journal", "volume": "29", "pages": "23-38", "type": "article", "language": "en", "abstract": "The growing demand for rapid and effcient delivery solutions, especially in healthcare and remote logistics, presents unique challenges for drone routing, including limited battery life, restricted flight zones, and the need for effcient path optimization. This paper addresses these challenges by proposing an Integer Linear Programming (ILP) model to optimize multipoint drone delivery routes. The objective of the model is to minimize total travel distance or time during drone delivery operations while ensuring that each designated delivery location is visited exactly once, with a return to the starting point. The ILP model incorporates practical constraints such as battery limitations, maximum allowable flight distance, and avoidance of no-fly zones, making it suitable for real-world drone delivery applications. Evaluation across four distinct scenarios, including urban and mixed environments, demonstrates that the ILPbased approach enhances route effciency, achieving an average reduction of approximately 25% in total travel distance compared to heuristic methods, specifically the Nearest Neighbor (NN) heuristic. Moreover, it outperforms metaheuristic methods like Genetic Algorithm (GA) and Ant Colony Optimization (ACO) in both distance effciency and adherence to constraints. The ILP model demonstrates computational feasibility, solving problems with up to 50 delivery points in approximately 3 minutes on average. These findings highlight the potential of the ILP framework as a robust tool for optimizing drone delivery networks, offering significant improvements in operational effciency and scalability.", "keywords": [ "Drone", "Integer programming", "Ant colony optimization algorithms", "Path (computing)", "Metaheuristic", "Linear programming" ], "cited_by_openalex": 0, "cited_by_scopus": "2", "eid": "2-s2.0-105025257237", "pii": null, "open_access_url": "https://doi.org/10.4186/ej.2025.29.11.23", "sources": [ { "db": "openalex", "stream": "UAV", "query_id": "UAV-3" }, { "db": "scopus", "stream": "UAV", "query_id": "UAV-3" } ], "streams": [ "UAV" ], "relevance_signals": [ "UAV_NO_CTX" ], "auto_exclude_reason": "EC-4-topic", "screening_status": "auto_excluded", "screened_by": "auto-v1.0.0" }, { "id": "doi:10.3390/drones10010017", "doi": "10.3390/drones10010017", "title": "Urban Medical Emergency Logistics Drone Base Station Location Selection", "year": 2025, "authors": [ "Hongbin Zhang", "Liang Zou", "Yongxia Yang", "Jack Ma", "Jingguang Xiao", "Peiqun Lin" ], "first_author": "Hongbin Zhang", "venue": "Drones", "volume": "10", "pages": null, "type": "article", "language": "en", "abstract": "In densely populated and traffic-congested major cities, medical emergency rescue incidents occur frequently, making the use of drones for emergency medical supplies delivery a new emergency distribution method. However, establishing drone transportation networks in urban areas requires balancing spatiotemporal fluctuations in emergency needs, meeting hospitals’ mandatory constraints on response time, and addressing factors like airspace restrictions and weather impacts. By analyzing the spatiotemporal distribution characteristics of medical emergency logistics in large cities, this study constructs a drone base station location optimization model integrating dynamic and static factors. The model combines multi-source data including emergency needs, geographic information, and airspace limitations. It employs kernel density estimation to identify hotspot areas, uses DBSCAN clustering to detect long-term stable demand hotspots, and applies LSTM methods to predict short-term and sudden demand fluctuations. The model optimizes coverage rate, response time, and cost budget control for drone transportation networks through a multi-objective genetic algorithm. Using Guangzhou as a case study, the results demonstrate that through “dynamic-static” collaborative deployment and multi-model drone coordination, the network achieves 96.18% demand coverage with an average response time of 673.38 s, significantly outperforming traditional vehicle transportation. Sensitivity analysis and robustness testing further validate the model’s effectiveness in handling demand fluctuations, weather changes, and airspace restrictions. This research provides theoretical support and decision-making basis for scientific planning of urban medical emergency drone transportation networks, offering practical significance for enhancing urban emergency rescue capabilities.", "keywords": [ "Drone", "Software deployment", "DBSCAN", "Robustness (evolution)", "Cluster analysis", "Base station", "Kernel density estimation", "Emergency management" ], "cited_by_openalex": 4, "cited_by_scopus": "2", "eid": "2-s2.0-105028801858", "pii": null, "open_access_url": "https://doi.org/10.3390/drones10010017", "sources": [ { "db": "openalex", "stream": "UAV", "query_id": "UAV-3" }, { "db": "scopus", "stream": "UAV", "query_id": "UAV-3" } ], "streams": [ "UAV" ], "relevance_signals": [ "UAV_NO_CTX" ], "auto_exclude_reason": "EC-4-topic", "screening_status": "auto_excluded", "screened_by": "auto-v1.0.0" }, { "id": "doi:10.2514/6.2025-0455", "doi": "10.2514/6.2025-0455", "title": "April-Tag Detection via Deep Learning CNN Models", "year": 2025, "authors": [ "Fahad Mannan", "Jorge Augusto Quiroga", "Sihua Shao", "Mostafa Hassanalian" ], "first_author": "Fahad Mannan", "venue": "AIAA Science and Technology Forum and Exposition AIAA Scitech Forum 2025", "volume": null, "pages": null, "type": "conference-paper", "language": "en", "abstract": "April-tag detection is a pivotal technology in robotics, offering anchor points in the environment to help autonomous systems navigate and execute tasks with precision. In this research, we leverage April tags as set points for drones to perform precise landings on bio-inspired tree-like vertiports, forming a critical component of the Sustainable Vertiport Framework for Autonomous Drone Swarm Methane Emission Measurement over Orphaned Wells (STEER) project. This system aims to autonomously and efficiently quantify methane emissions from widely dispersed orphaned wells, utilizing a self-contained, solar-powered infrastructure. Methane emissions from abandoned oil wells are a significant environmental concern. According to the Environmental Protection Agency (EPA), approximately 7.11 million metric tons of carbon dioxide and methane are emitted annually from 2.15 million unplugged orphaned wells in the United States—a figure projected to rise as more wells are abandoned. STEER's ultimate goal is to provide a scalable solution to detect and mitigate these emissions. The precision landing of drones, a key component of this system, occurs upon mission completion. This process employs April tag detection powered by a convolutional neural network (CNN), enabling accurate recognition of tags via video feeds from the drones’ stereo cameras. A custom Robot Operating System (ROS) program transitions the drone from return-to-base mode into precision landing mode, aligning it with the identified April tag within the vertiport capsule. This study investigates the effectiveness of the CNN model across varying distances and orientations between the drone and the tag. The findings will establish tolerances for landing confidence and optimize the placement of tags within the vertiport design. By addressing these parameters, the research aims to enhance the reliability and efficiency of the autonomous system, contributing to more effective environmental monitoring and mitigation strategies.", "keywords": [ "Computer science", "Artificial intelligence", "Deep learning", "Convolutional neural network" ], "cited_by_openalex": 2, "cited_by_scopus": "2", "eid": "2-s2.0-85219509688", "pii": null, "open_access_url": "https://doi.org/10.2514/6.2025-0455", "sources": [ { "db": "openalex", "stream": "UAV", "query_id": "UAV-3" }, { "db": "scopus", "stream": "UAV", "query_id": "UAV-3" } ], "streams": [ "UAV" ], "relevance_signals": [ "UAV_NO_CTX" ], "auto_exclude_reason": "EC-4-topic", "screening_status": "auto_excluded", "screened_by": "auto-v1.0.0" }, { "id": "doi:10.1201/9781003479154-15", "doi": "10.1201/9781003479154-15", "title": "Routing and Navigation among Aerial Obstacles Using Deep Learning and Depth Maps for Obstacle Routing in Unmanned Aerial Vehicles", "year": 2025, "authors": [ "V. Muthumanikandan" ], "first_author": "V. Muthumanikandan", "venue": null, "volume": null, "pages": null, "type": "book-chapter", "language": "en", "abstract": "Drone-based delivery is a potential and very successful component of municipal logistics systems since it saves money and time in logistics delivery. Drone delivery has several advantages over ground-based delivery. Drones, in particular, can deliver items more swiftly, cheaply, on-demand, and without the need for human intervention. Many e-commerce companies, such as Amazon, Google, UPS, and DHL, employ drones to transport business packages. Unfortunately, due to the limitations of power, weight, and functions, transportation activities cannot be properly completed in a complex and dynamic environment. The bulk of current research on drone-based delivery has concentrated on single-customer and short-range delivery because of the drones’ constrained flying range and battery life. When employing drones to deliver packages, the cargo capacity, flight range, and battery capacity are crucial considerations. Several approaches have been proposed to address the problems, such as truck-drone collaboration, autonomous drone delivery, and drone delivery with recharge stations. Recently, academic and industry research communities have been paying close attention to drone delivery with multiple recharge stations due to its capacity to carry out long-distance deliveries in a single trip. In this study, we also consider the drone delivery approach with various charging stations. It is possible to use charging stations that can be installed on building rooftops to charge drones directly from a charging pad. The drone can still use the charging station even if its maximum flight range is exceeded by the client’s location. To ensure that the drone reaches the charging station prior to the battery reaching its threshold level, two nearby charging stations must be installed within a predetermined radius.", "keywords": [ "Obstacle", "Routing (electronic design automation)", "Computer science", "Aerial imagery", "Aeronautics", "Cartography", "Artificial intelligence", "Geography", "Real-time computing", "Engineering", "Computer network", "Archaeology" ], "cited_by_openalex": 2, "cited_by_scopus": 0, "eid": null, "pii": null, "open_access_url": "https://doi.org/10.1201/9781003479154-15", "sources": [ { "db": "openalex", "stream": "UAV", "query_id": "UAV-3" } ], "streams": [ "UAV" ], "relevance_signals": [ "UAV_NO_CTX", "TRUCK_NO_CTX" ], "auto_exclude_reason": "EC-4-topic", "screening_status": "auto_excluded", "screened_by": "auto-v1.0.0" }, { "id": "doi:10.1109/icc52391.2025.11160730", "doi": "10.1109/icc52391.2025.11160730", "title": "V2X-Enabled Air-Ground Traffic Coordination for Enhancing On-Demand Air-Taxi Mobility", "year": 2025, "authors": [ "Aoyu Pang", "Maonan Wang", "Wenwei Yue", "Man-On Pun", "Chung Shue Chen" ], "first_author": "Aoyu Pang", "venue": "IEEE International Conference on Communications", "volume": null, "pages": "3095-3100", "type": "conference-paper", "language": "en", "abstract": "Urban Air Mobility (UAM) offers a promising solution to urban congestion by utilizing low-altitude airspace, effectively alleviating pressure on ground transportation. The integration of air-taxi services with existing ground transport infrastructure enables streamlined, efficient door-to-door travel. However, current research on air-taxi systems often overlooks the role of passenger decision-making in selecting the optimal boarding vertiport, a factor that can greatly impact overall system efficiency and user satisfaction. To address this problem, we propose a Unified Air-Ground Mobility Coordination (UAGMC) framework. This framework, powered by deep reinforcement learning (RL) and Vehicle-to-Everything (V2X) communication, optimizes vertiport selection and dynamically plans air-taxi routes based on real-time air and ground traffic conditions. Experimental results show that our approach reduces average travel time by 32 % compared to traditional allocation methods using proportional distribution. This framework advances overall travel efficiency and provides novel insights for integrating multimodal transportation systems.", "keywords": [ "Traffic congestion", "Reinforcement learning", "Public transport", "Selection (genetic algorithm)", "Air traffic control", "Ground transportation", "Travel time" ], "cited_by_openalex": 2, "cited_by_scopus": "2", "eid": "2-s2.0-105018460103", "pii": null, "open_access_url": "https://doi.org/10.1109/icc52391.2025.11160730", "sources": [ { "db": "openalex", "stream": "UAV", "query_id": "UAV-3" }, { "db": "scopus", "stream": "UAV", "query_id": "UAV-3" } ], "streams": [ "UAV" ], "relevance_signals": [ "UAV_NO_CTX" ], "auto_exclude_reason": "EC-4-topic", "screening_status": "auto_excluded", "screened_by": "auto-v1.0.0" }, { "id": "doi:10.1121/10.0037186", "doi": "10.1121/10.0037186", "title": "Low-noise trajectory optimization of urban air mobility in the urban environment using deep reinforcement learning", "year": 2025, "authors": [ "Younghoon Kim", "Jeongwoo Ko", "Kukhwan Yu", "Soogab Lee" ], "first_author": "Younghoon Kim", "venue": "The Journal of the Acoustical Society of America", "volume": "158", "pages": "476-494", "type": "article", "language": "en", "abstract": "This study proposes a method for optimizing low-noise flight trajectory for urban air mobility (UAM) in urban environments using deep reinforcement learning (DRL). The objective is to efficiently derive flight trajectories that minimize noise impact on ground observers as UAM vehicles approach a vertiport for landing. Noise data were calculated for various flight velocities, and a deep learning (DL) model was employed to estimate noise map from noise propagation. A DRL model based on the Soft actor critic algorithm was designed, incorporating noise reward function through the trained DL model while adhering to specified flight constraints. The results confirmed that the DRL model effectively guided the UAM vehicle to the target area while accomplishing the given flight conditions. Various case studies were conducted and confirmed that the DRL model can optimize unique noise-optimized trajectories for a given simplified urban environment, vehicle initial state, and designated noise reduction zone. Also, the optimized low-noise trajectory was shown to reduce both the average noise level and the proportion of high noise impact areas compared to the reference trajectory. This DRL based trajectory optimization method is expected to contribute to the development of low-noise operational strategies for UAM vehicles in urban settings.", "keywords": [ "Noise (video)", "Trajectory", "Reinforcement learning", "Computer science", "Noise reduction", "Trajectory optimization", "Simulation", "Noise control", "Control theory (sociology)", "Artificial intelligence", "Physics" ], "cited_by_openalex": 6, "cited_by_scopus": "2", "eid": "2-s2.0-105010878595", "pii": null, "open_access_url": "https://doi.org/10.1121/10.0037186", "sources": [ { "db": "openalex", "stream": "UAV", "query_id": "UAV-3" }, { "db": "scopus", "stream": "UAV", "query_id": "UAV-3" } ], "streams": [ "UAV" ], "relevance_signals": [ "UAV_NO_CTX" ], "auto_exclude_reason": "EC-4-topic", "screening_status": "auto_excluded", "screened_by": "auto-v1.0.0" }, { "id": "doi:10.1016/j.ijpharm.2025.126473", "doi": "10.1016/j.ijpharm.2025.126473", "title": "Understanding how exposure to drone-induced vibration during transportation affects the quality of a monoclonal antibody (Nivolumab)", "year": 2025, "authors": [ "W. Zhu", "Katherine Theobald", "Mike Tobyn", "Patrick G. Courtney", "Paul G. Royall", "Tom Cherrett", "T. R. Waters" ], "first_author": "W. Zhu", "venue": "International Journal of Pharmaceutics", "volume": "689", "pages": null, "type": "article", "language": "en", "abstract": "Therapeutic monoclonal antibodies essential for cancer treatments, are sensitive biomolecules requiring reconstitution in infusion bags, and administration within hours. While drone transportation presents a promising solution for reaching remote healthcare facilities, it introduces mechanical stresses that can compromise mAb stability, leading to protein unfolding and aggregation. This study aimed to evaluate the stability of reconstituted Opdivo® (nivolumab) across vibrations modelling flight. Two different reciprocating shakers were used to simulate predominant frequencies of drone-induced vibrations in a controlled laboratory setting, employing analytical techniques (UV, DLS & SE-HPLC) to assess critical parameters and support the development of risk assessments for drone transportation. Nivolumab infusions remained stable under simulated drone vibrations, with all quality attributes meeting acceptance criteria. Samples exposed to varying frequencies 8, 63, 125 Hz for 30 min; 63 Hz for 1, 2, 3 h; a 43-minute drone flight, and prepared at different concentrations (0.48, 0.86, 1.24 mg/mL) showed no significant differences from controls. Two of the three samples subjected to 125 Hz vibration for 30 min exhibited a minor increase in monomer content (≤0.16 %, p = 0.003) on Day 2, accompanied by a 3 nm reduction in particle size. However, these changes remained within pharmaceutically acceptable limits and showed no evidence of functional compromise compared to controls. The particle size shift dissipated after 24 h of storage, suggesting a reversible, vibration-induced dissociation of oligomeric species. Understanding, the impact of flight on product characteristics and stability is important. The results show that Opdivo® is not affected by the vibrations generated by the various stages of drone flight. This paper establishes a reproducible framework for evaluating monoclonal antibody stability under simulated transport conditions, contributing to the development of safer and more efficient delivery methods in cancer care.", "keywords": [ "Monoclonal antibody", "Vibration", "Particle (ecology)", "Particle size", "Monomer", "Polymer" ], "cited_by_openalex": 2, "cited_by_scopus": "2", "eid": "2-s2.0-105025473395", "pii": "S0378517325013109", "open_access_url": "https://doi.org/10.1016/j.ijpharm.2025.126473", "sources": [ { "db": "openalex", "stream": "UAV", "query_id": "UAV-3" }, { "db": "scopus", "stream": "UAV", "query_id": "UAV-3" } ], "streams": [ "UAV" ], "relevance_signals": [ "UAV_NO_CTX" ], "auto_exclude_reason": "EC-4-topic", "screening_status": "auto_excluded", "screened_by": "auto-v1.0.0" }, { "id": "doi:10.1016/j.engappai.2025.113216", "doi": "10.1016/j.engappai.2025.113216", "title": "ParcelDrone: A modular and graph neural network-based decentralized approach to aerial parcel delivery", "year": 2025, "authors": [ "Jun Kiat Tan", "Archit Krishna Kamath", "Peng Jia Shi", "Mir Feroskhan" ], "first_author": "Jun Kiat Tan", "venue": "Engineering Applications of Artificial Intelligence", "volume": "164", "pages": null, "type": "article", "language": "en", "abstract": null, "keywords": [ "Modular design", "Scalability", "Payload (computing)", "Thrust", "Controller (irrigation)", "Trajectory", "Propeller", "Graph", "Tracking error" ], "cited_by_openalex": 2, "cited_by_scopus": "2", "eid": "2-s2.0-105022262303", "pii": "S0952197625032476", "open_access_url": "https://doi.org/10.1016/j.engappai.2025.113216", "sources": [ { "db": "openalex", "stream": "UAV", "query_id": "UAV-3" }, { "db": "scopus", "stream": "UAV", "query_id": "UAV-3" } ], "streams": [ "UAV" ], "relevance_signals": [ "NO_TECHNOLOGY_MATCH" ], "auto_exclude_reason": "EC-4-topic", "screening_status": "auto_excluded", "screened_by": "auto-v1.0.0" }, { "id": "doi:10.1016/j.sftr.2025.101038", "doi": "10.1016/j.sftr.2025.101038", "title": "Innovation of food delivery: Acceptance of drone use among consumers in Peru based on TAM and BRT", "year": 2025, "authors": [ "Nidia Chahua-Huaqui", "Shyla Del-Aguila-Arcentales", "Juana Quispe-Presentación", "Ana Ruiz-Cordero" ], "first_author": "Nidia Chahua-Huaqui", "venue": "Sustainable Futures", "volume": "10", "pages": null, "type": "article", "language": "en", "abstract": "This study examines the factors influencing consumer adoption of drone-based food delivery services, making a significant contribution to the literature by being the first to integrate the Technology Acceptance Model (TAM) and the Behavioral Reasoning Theory (BRT) to analyze consumers' intentions to use drone food delivery services. A correlational research design was employed, with data obtained from 259 consumers in Peru. The study employed Partial Least Squares Structural Equation Modeling (PLS-SEM) to examine the hypothesized relationships between perceived benefits, subjective norms, perceived behavioral control, perceived ease of use, and adoption intention. The results indicate that perceived benefits, subjective norms, and perceived behavioral control have a positive and significant effect on adoption intention, while perceived ease of use had no significant effect on attitude. These findings suggest that consumers prioritize efficiency, social influence, and control over usability concerns. The application of PLS-SEM enabled an analysis of the relationships between constructs, thereby ensuring the validity and reliability of the model. The bootstrapping technique confirmed the statistical significance of the paths, reinforcing the theoretical contributions of the study. Businesses should emphasize the advantages of drone-based delivery while leveraging social validation strategies.", "keywords": [ "Drone", "Business", "Technology acceptance model", "Marketing", "Usability", "Computer science" ], "cited_by_openalex": 2, "cited_by_scopus": "2", "eid": "2-s2.0-105011653395", "pii": "S2666188825006021", "open_access_url": "https://doi.org/10.1016/j.sftr.2025.101038", "sources": [ { "db": "openalex", "stream": "UAV", "query_id": "UAV-3" }, { "db": "scopus", "stream": "UAV", "query_id": "UAV-3" } ], "streams": [ "UAV" ], "relevance_signals": [ "UAV_NO_CTX" ], "auto_exclude_reason": "EC-4-topic", "screening_status": "auto_excluded", "screened_by": "auto-v1.0.0" }, { "id": "doi:10.1186/s40694-025-00202-y", "doi": "10.1186/s40694-025-00202-y", "title": "Valorization of bourbon stillage through production of tunable pure mycelium materials", "year": 2025, "authors": [ "Keya Rani Roy", "Zachary Byrd", "Michael Patrick Sama", "Tyler John Barzee" ], "first_author": "Keya Rani Roy", "venue": "Fungal Biology and Biotechnology", "volume": "12", "pages": null, "type": "article", "language": "en", "abstract": "Stillage is a byproduct of distilleries which is rich in organic matter, minerals, and acidic components. It is commonly used as animal feed and has high potential for use as an alternative substrate for microorganisms. Filamentous fungi are saprophytes that can utilize stillage solids to grow as threadlike mycelium. The structure and composition of the filamentous mycelium has shown promise to produce pure mycelium materials (PMM), which might have potential to serve as leather-like or other novel materials with improved environmental impact profiles. Basidiomycota fungi (including true mushrooms) species are presently used in industry to produce PMM due to the ease of suppressing sporulation and encouraging vegetative growth. Other fungal phyla such as Mucoromycota offer benefits of faster growth, but suppression of sporulation is often more difficult. The production of PMM is a relatively new area and sufficient quantitative data is lacking on the effective cultivation and processing steps required to optimize the materials for different potential applications. In this study, a cultivation system capable of producing PMM with solid-state fermentation (SSF) of stillage substrate by Mucoromycota fungus Rhizopus microsporus var. oligosporus was designed and tested. The influence of important operational parameters on the aerial mycelium growth characteristics was studied including (1) substrate packing density, (2) external support geometry, (3) substrate carbon-to-nitrogen (C: N) ratio, and (4) aerial delivery of additives. The results showed that stillage was a favorable substrate to produce PMM and that the studied operational parameters allowed for effective control of the mycelium fiber length, density, and moisture content. R. oligosporus displayed rapid growth, enhanced 3 to 4 times compared to Basidiomycota fungus Pleurotus ostreatus (oyster mushroom). Increasing substrate packing density and the length of external supports was found to encourage development of longer aerial mycelium fibers while aerial delivery of additives was found to have limited effects on fiber length but significantly influenced mycelium density and moisture content. It was also found that the use of unprocessed stillage solids was effective at delaying the sporulation of this Mucoromycota fungus and promoting development of aerial mycelium, which was hypothesized to be related to its natively low C: N ratio. Together, these results indicate promise for the efficient production of tunable PMM from inexpensive organic substrates.", "keywords": [ "Stillage", "Mycelium", "Production (economics)", "Materials science", "Pulp and paper industry", "Horticulture", "Chemistry", "Food science", "Engineering", "Biology", "Economics", "Fermentation" ], "cited_by_openalex": 2, "cited_by_scopus": "2", "eid": "2-s2.0-105007230478", "pii": null, "open_access_url": "https://fungalbiolbiotech.biomedcentral.com/counter/pdf/10.1186/s40694-025-00202-y", "sources": [ { "db": "openalex", "stream": "UAV", "query_id": "UAV-3" }, { "db": "scopus", "stream": "UAV", "query_id": "UAV-3" } ], "streams": [ "UAV" ], "relevance_signals": [ "UAV_NO_CTX" ], "auto_exclude_reason": "EC-4-topic", "screening_status": "auto_excluded", "screened_by": "auto-v1.0.0" }, { "id": "doi:10.1111/vox.70092", "doi": "10.1111/vox.70092", "title": "Supplying whole blood with drones for prehospital transfusion at trauma sites in Finland: A simulation", "year": 2025, "authors": [ "Panu Erästö", "Milla Juntunen", "Jukka Pappinen", "Jouni O. Nurmi", "Jarkko Ihalainen", "Jouni Lauronen", "Mikko Arvas" ], "first_author": "Panu Erästö", "venue": "Vox Sanguinis", "volume": "120", "pages": "1015-1024", "type": "article", "language": "en", "abstract": "BACKGROUND AND OBJECTIVES: Prehospital transfusion is now increasingly used in civilian and military medicine. Blood products are, however, perishable and rarely needed in civilian settings. Given the rapid development of drone-based logistics and Finland's low population density, we aimed to build a computational framework to assess the feasibility and requirements of drone-based delivery of blood products to trauma sites. Unlike previous studies, which focus mostly on deliveries to hospitals in compact urban areas, we model direct deliveries to trauma scenes across an entire sparsely populated country. MATERIALS AND METHODS: We used predicted trauma data on a 1 × 1 km grid covering Finland. Drone base locations were optimized using mixed-integer linear programming, and drone operations were analysed with a discrete event simulation model. Our approach combines strategic location optimization with operational-level simulation and is grounded in high-resolution, real-world data-driven trauma demand estimates. RESULTS: With 20 base locations and drones capable of a 60-km delivery range, over 80% of predicted trauma events can be reached. If drones can return to base, one drone per base is typically sufficient due to the rarity of missions. CONCLUSIONS: We present a novel computational framework for simulating drone-based blood delivery to trauma scenes. Our results suggest that while current drone capabilities may still be limited, the approach is promising for countries with similar geography. The framework is adaptable and can support planning in other regions with reliable trauma demand data.", "keywords": [ "Drone", "Population", "Computer science", "Blood transfusion", "Medical emergency", "Geography", "Operations research", "Medicine", "Engineering", "Surgery" ], "cited_by_openalex": 1, "cited_by_scopus": "2", "eid": "2-s2.0-105013293533", "pii": null, "open_access_url": "https://onlinelibrary.wiley.com/doi/pdfdirect/10.1111/vox.70092", "sources": [ { "db": "openalex", "stream": "UAV", "query_id": "UAV-3" }, { "db": "scopus", "stream": "UAV", "query_id": "UAV-3" } ], "streams": [ "UAV" ], "relevance_signals": [ "UAV_NO_CTX" ], "auto_exclude_reason": "EC-4-topic", "screening_status": "auto_excluded", "screened_by": "auto-v1.0.0" }, { "id": "doi:10.1007/s42401-025-00375-9", "doi": "10.1007/s42401-025-00375-9", "title": "Enabling quiet urban flight: MIT’s toroidal propeller as a game-changer in reducing drone acoustic signatures", "year": 2025, "authors": [ "Clarence Edmund P. Dela Cruz", "Aldrin D. Calderon" ], "first_author": "Clarence Edmund P. Dela Cruz", "venue": "Aerospace Systems", "volume": null, "pages": null, "type": "article", "language": "en", "abstract": null, "keywords": [ "Drone", "QUIET", "Propeller", "Toroid", "Acoustics", "Aerospace engineering", "Physics", "Aeronautics", "Environmental science", "Computer science", "Marine engineering", "Engineering" ], "cited_by_openalex": 1, "cited_by_scopus": "2", "eid": "2-s2.0-105009605907", "pii": null, "open_access_url": "https://doi.org/10.1007/s42401-025-00375-9", "sources": [ { "db": "openalex", "stream": "UAV", "query_id": "UAV-3" }, { "db": "scopus", "stream": "UAV", "query_id": "UAV-3" } ], "streams": [ "UAV" ], "relevance_signals": [ "UAV_NO_CTX" ], "auto_exclude_reason": "EC-4-topic", "screening_status": "auto_excluded", "screened_by": "auto-v1.0.0" }, { "id": "doi:10.3390/drones9120863", "doi": "10.3390/drones9120863", "title": "Development and Validation of a Custom Stochastic Microscale Wind Model for Urban Air Mobility Applications", "year": 2025, "authors": [ "D S Nithya", "Francesca Monteleone", "Giuseppe Quaranta", "Man Liang", "Vincenzo Muscarello" ], "first_author": "D S Nithya", "venue": "Drones", "volume": "9", "pages": null, "type": "article", "language": "en", "abstract": "Urban air mobility operations, such as flying Uncrewed Aerial Vehicles (UAVs) and small passenger aircraft in and around cities, will be inherently susceptible to the turbulent wind conditions in urban environments. Therefore, understanding UAM aircraft performance under microscale wind disturbances is critical. Gaining such insight is non-trivial due to the lack of sufficient UAM aircraft operational data and the complexities involved in flight testing UAM aircraft. A viable solution to overcome this hindrance is through simulation-based flight testing, data collection, and performance assessment. To support this effort, the present paper establishes a custom Stochastic microscale Wind Model (SWM) capable of efficiently generating high-resolution, spatio-temporally varying urban wind fields. The SWM is validated against wind tunnel test data, and subsequently, the findings are employed to guide targeted refinements of urban wake simulation. Furthermore, to incorporate realistic atmospheric conditions and demonstrate the ability to generate location-specific wind fields, the SWM is coupled with the mesoscale Weather Research and Forecasting (WRF) model. This integrated approach is demonstrated through a case study focused on a potential vertiport site in Milan, Italy, illustrating its utility for assessing operational area-specific UAM aircraft performance and vertiport emplacement.", "keywords": [ "Microscale chemistry", "Mesoscale meteorology", "Wake", "Wind tunnel", "Crosswind", "Wind speed", "Wind power" ], "cited_by_openalex": 0, "cited_by_scopus": "2", "eid": "2-s2.0-105025782131", "pii": null, "open_access_url": "https://doi.org/10.3390/drones9120863", "sources": [ { "db": "openalex", "stream": "UAV", "query_id": "UAV-3" }, { "db": "scopus", "stream": "UAV", "query_id": "UAV-3" } ], "streams": [ "UAV" ], "relevance_signals": [ "UAV_NO_CTX" ], "auto_exclude_reason": "EC-4-topic", "screening_status": "auto_excluded", "screened_by": "auto-v1.0.0" }, { "id": "doi:10.16097/j.cnki.1009-6744.2025.06.024", "doi": "10.16097/j.cnki.1009-6744.2025.06.024", "title": "Optimization of Collaborative Distribution of Light Trucks and Buses Considering Carbon Emission Costs", "year": 2025, "authors": [ "Zhang Z." ], "first_author": "Zhang Z.", "venue": "Jiaotong Yunshu Xitong Gongcheng Yu Xinxi Journal of Transportation Systems Engineering and Information Technology", "volume": "25", "pages": "265-275", "type": "Article", "language": null, "abstract": null, "keywords": [], "cited_by_openalex": 0, "cited_by_scopus": "2", "eid": "2-s2.0-105029018172", "pii": null, "open_access_url": null, "sources": [ { "db": "scopus", "stream": "TRUCK", "query_id": "TRUCK-1" } ], "streams": [ "TRUCK" ], "relevance_signals": [ "TRUCK_NO_CTX" ], "auto_exclude_reason": "EC-4-topic", "screening_status": "auto_excluded", "screened_by": "auto-v1.0.0" }, { "id": "doi:10.3390/futuretransp5040145", "doi": "10.3390/futuretransp5040145", "title": "Cargo Bikes and Van Deliveries in Rome: A Comparative Analysis", "year": 2025, "authors": [ "Colonna L." ], "first_author": "Colonna L.", "venue": "Future Transportation", "volume": "5", "pages": null, "type": "Article", "language": null, "abstract": null, "keywords": [], "cited_by_openalex": 0, "cited_by_scopus": "2", "eid": "2-s2.0-105025969036", "pii": null, "open_access_url": null, "sources": [ { "db": "scopus", "stream": "TRUCK", "query_id": "TRUCK-1" }, { "db": "scopus", "stream": "TRUCK", "query_id": "TRUCK-2" } ], "streams": [ "TRUCK" ], "relevance_signals": [ "NO_TECHNOLOGY_MATCH" ], "auto_exclude_reason": "EC-4-topic", "screening_status": "auto_excluded", "screened_by": "auto-v1.0.0" }, { "id": "doi:10.1007/s10100-024-00925-0", "doi": "10.1007/s10100-024-00925-0", "title": "Assessing the viability of parking slot utilization as transhipment points for parcel carriers: a case study in Barcelona", "year": 2025, "authors": [ "Savall-Mañó M." ], "first_author": "Savall-Mañó M.", "venue": "Central European Journal of Operations Research", "volume": "33", "pages": "1443-1472", "type": "Article", "language": null, "abstract": null, "keywords": [], "cited_by_openalex": 0, 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"relevance_signals": [ "NO_TECHNOLOGY_MATCH" ], "auto_exclude_reason": "EC-4-topic", "screening_status": "auto_excluded", "screened_by": "auto-v1.0.0" }, { "id": "doi:10.1177/03611981251335899", "doi": "10.1177/03611981251335899", "title": "Routing and Scheduling of Fresh Product Distribution for Hybrid Truck–Drone Delivery with Temporary Drone Stations", "year": 2025, "authors": [ "Pu X." ], "first_author": "Pu X.", "venue": "Transportation Research Record", "volume": "2679", "pages": "184-211", "type": "Article", "language": null, "abstract": null, "keywords": [], "cited_by_openalex": 0, "cited_by_scopus": "2", "eid": "2-s2.0-105012592157", "pii": null, "open_access_url": null, "sources": [ { "db": "scopus", "stream": "TRUCK", "query_id": "TRUCK-1" }, { "db": "scopus", "stream": "UAV", "query_id": "UAV-1" } ], "streams": [ "TRUCK", "UAV" ], "relevance_signals": [ "UAV_NO_CTX", "TRUCK_NO_CTX" ], "auto_exclude_reason": "EC-4-topic", "screening_status": "auto_excluded", "screened_by": 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NEIGHBORHOOD SEARCH FOR THE TRUCK-DRONE-COLLECTION STATION COLLABORATIVE DELIVERY PROBLEM", "year": 2025, "authors": [ "Zhang Q." ], "first_author": "Zhang Q.", "venue": "Journal of Industrial and Management Optimization", "volume": "21", "pages": "1414-1439", "type": "Article", "language": null, "abstract": null, "keywords": [], "cited_by_openalex": 0, "cited_by_scopus": "2", "eid": "2-s2.0-85210087807", "pii": null, "open_access_url": null, "sources": [ { "db": "scopus", "stream": "UAV", "query_id": "UAV-2" } ], "streams": [ "UAV" ], "relevance_signals": [ "UAV_NO_CTX", "TRUCK_NO_CTX" ], "auto_exclude_reason": "EC-4-topic", "screening_status": "auto_excluded", "screened_by": "auto-v1.0.0" }, { "id": "doi:10.1109/icc52391.2025.11162120", "doi": "10.1109/icc52391.2025.11162120", "title": "Reinforcement Learning Based Anti-Jamming FANET Routing with QoS Guarantee", "year": 2025, "authors": [ "Li J." ], "first_author": "Li J.", "venue": "IEEE International Conference on Communications", "volume": null, "pages": "4092-4097", "type": "Conference Paper", "language": null, "abstract": null, "keywords": [], "cited_by_openalex": 0, "cited_by_scopus": "2", "eid": "2-s2.0-105018462451", "pii": null, "open_access_url": null, "sources": [ { "db": "scopus", "stream": "UAV", "query_id": "UAV-2" } ], "streams": [ "UAV" ], "relevance_signals": [ "NO_TECHNOLOGY_MATCH" ], "auto_exclude_reason": "EC-4-topic", "screening_status": "auto_excluded", "screened_by": "auto-v1.0.0" }, { "id": "doi:10.3390/aerospace12100897", "doi": "10.3390/aerospace12100897", "title": "Computational Analysis of a Towed Jumper During Static Line Airborne Operations: A Parametric Study Using Various Airdrop Configurations †", "year": 2025, "authors": [ "Fraire U." ], "first_author": "Fraire U.", "venue": "Aerospace", "volume": "12", "pages": null, "type": "Article", "language": null, "abstract": null, "keywords": [], "cited_by_openalex": 0, "cited_by_scopus": "2", "eid": "2-s2.0-105020186907", "pii": null, "open_access_url": null, "sources": [ { "db": "scopus", "stream": "UAV", "query_id": "UAV-3" } ], "streams": [ "UAV" ], "relevance_signals": [ "NO_TECHNOLOGY_MATCH" ], "auto_exclude_reason": "EC-4-topic", "screening_status": "auto_excluded", "screened_by": "auto-v1.0.0" }, { "id": "title:a comparative study of the use of experimental and computational techniques to assess turbulence abo", "doi": null, "title": "A Comparative Study of the Use of Experimental and Computational Techniques to Assess Turbulence Above the FATO to Support the Design and Operation of Vertiports in the Built Environment", "year": 2025, "authors": [ "Larose G.L." ], "first_author": "Larose G.L.", "venue": "Vertical Flight Society 81st Annual Forum and Technology Display", "volume": null, "pages": null, "type": "Conference Paper", "language": null, "abstract": null, "keywords": [], "cited_by_openalex": 0, "cited_by_scopus": "2", "eid": "2-s2.0-105010295677", "pii": null, "open_access_url": null, "sources": [ { "db": "scopus", "stream": "UAV", "query_id": "UAV-3" } ], "streams": [ "UAV" ], "relevance_signals": [ "UAV_NO_CTX" ], "auto_exclude_reason": "EC-4-topic", "screening_status": "auto_excluded", "screened_by": "auto-v1.0.0" }, { "id": "doi:10.1007/978-3-031-80775-6_1", "doi": "10.1007/978-3-031-80775-6_1", "title": "Last-Mile Delivery Optimization Using Mixed Electric Vehicles, UAVs and Full Truck Delivery Based on Artificial Intelligence Algorithms", "year": 2025, "authors": [ "Bouhia Hanaa", "Jamal Benhra", "Wissal Ed-dehbi" ], "first_author": "Bouhia Hanaa", "venue": "Communications in computer and information science", "volume": "2373 CCIS", "pages": "3-26", "type": "conference-paper", "language": "en", "abstract": null, "keywords": [ "Truck", "Mile", "Computer science", "Last mile (transportation)", "Algorithm", "Artificial intelligence", "Automotive engineering", "Engineering", "Physics" ], "cited_by_openalex": 1, "cited_by_scopus": "1", "eid": "2-s2.0-85219170042", "pii": null, "open_access_url": "https://doi.org/10.1007/978-3-031-80775-6_1", "sources": [ { "db": "openalex", "stream": "TRUCK", "query_id": "TRUCK-1" }, { "db": "openalex", "stream": "UAV", "query_id": "UAV-1" }, { "db": "openalex", "stream": "UAV", "query_id": "UAV-2" }, { "db": "scopus", "stream": "TRUCK", "query_id": "TRUCK-1" }, { "db": "scopus", "stream": "UAV", "query_id": "UAV-1" }, { "db": "scopus", "stream": "UAV", "query_id": "UAV-2" } ], "streams": [ "TRUCK", "UAV" ], "relevance_signals": [ "UAV", "TRUCK" ], "auto_exclude_reason": null, "screening_status": "pending_human_screening", "screened_by": "auto-v1.0.0" }, { "id": "doi:10.20944/preprints202512.0417.v1", "doi": "10.20944/preprints202512.0417.v1", "title": "GIS-Enabled Truck–Drone Hybrid Systems for Agricultural Last-Mile Delivery: A Multidisciplinary Review with Insights from a Rural Region", "year": 2025, "authors": [ "Imran Badshah", "Raj Bridgelall", "Emmanuel Anu Thompson" ], "first_author": "Imran Badshah", "venue": "Preprints.org", "volume": null, "pages": null, "type": "preprint", "language": null, "abstract": "Efficient last-mile delivery remains a critical challenge for rural agricultural logistics, globally, particularly in cold-climate regions with dispersed agricultural operations. This review evaluates the potential of GIS-enabled truck–drone hybrid systems to overcome infrastructural, environmental, and operational barriers in such settings. This study uses North Dakota, USA as a representative case alongside insights from similar rural regions worldwide. The study conducts a systematic review of 82 high-quality publications. It identifies seven interconnected research domains: GIS analytics, truck–drone coordination, smart agriculture integration, rural implementation, sustainability assessment, strategic design, and data security. The findings stipulate that GIS enhances hybrid logistics through route optimization, launch site planning, and real-time monitoring. Additionally, this study emphasizes the rural, low-density context and identifies specific gaps related to cold-weather performance, restrictions to line-of-sight operations, and economic feasibility in ultra-low-density delivery networks. The study concludes with a roadmap for research and policy development to enable practical deployment in cold-climate agricultural regions.", "keywords": [ "Sustainability", "Multidisciplinary approach", "Agriculture", "Context (archaeology)", "Software deployment", "Hybrid system", "Rural area", "Rural development" ], "cited_by_openalex": 1, "cited_by_scopus": 0, "eid": null, "pii": null, "open_access_url": "https://www.preprints.org/frontend/manuscript/663b7033baad86623447f39ef81a277c/download_pub", "sources": [ { "db": "openalex", "stream": "TRUCK", "query_id": "TRUCK-1" }, { "db": "openalex", "stream": "UAV", "query_id": "UAV-1" } ], "streams": [ "TRUCK", "UAV" ], "relevance_signals": [ "UAV", "TRUCK" ], "auto_exclude_reason": null, "screening_status": "pending_human_screening", "screened_by": "auto-v1.0.0" }, { "id": "doi:10.20944/preprints202510.0347.v1", "doi": "10.20944/preprints202510.0347.v1", "title": "GIS-Enabled Truck–Drone Hybrid Systems for Agricultural Last-Mile Delivery: A Multidisciplinary Review with Insights from Rural North Dakota", "year": 2025, "authors": [ "Imran Badshah", "Raj Bridgelall", "Emmanuel Anu Thompson" ], "first_author": "Imran Badshah", "venue": "Preprints.org", "volume": null, "pages": null, "type": "preprint", "language": "en", "abstract": "Efficient last-mile delivery remains a major challenge for agriculture in rural regions such as the state of North Dakota in the United States. In these regions, farms are large, dispersed, and dependent on timely access to inputs. Truck–drone hybrid systems offer a potential solution by combining the long-haul capacity of trucks with the speed and flexibility of drones. Economic studies indicate that such proposed hybrid systems can enable faster, lower-cost, and more sustainable delivery of small, time-critical packages. This research further reviews the role of geographic information systems (GIS) in enabling these systems. A combined systematic and thematic review of 82 high-quality publications identifies five domains: GIS applications, truck–drone coordination, smart agriculture integration, rural implementation, and sustainability impacts. The findings show that GIS supports route optimization, drone launch-site selection, and real-time monitoring. Beyond the capacity of drones to extend reach and reduce delays, integrating IoT and AI platforms enhances decision-making and improves efficiency. However, constraints include federal regulations, payload limits, harsh weather (especially in rural areas), and cybersecurity risks. This review concludes that GIS-enabled truck–drone systems can transform agricultural logistics and rural resilience if providers can address regulatory, technical, and security challenges through coordinated innovation.", "keywords": [ "Agriculture", "Sustainability", "Drone", "Geographic information system", "Flexibility (engineering)", "Resilience (materials science)", "Food security", "Hybrid system", "Multidisciplinary approach" ], "cited_by_openalex": 1, "cited_by_scopus": 0, "eid": null, "pii": null, "open_access_url": "https://www.preprints.org/frontend/manuscript/5fe2a6a7ab3b655d9123d6ef3f1704ca/download_pub", "sources": [ { "db": "openalex", "stream": "TRUCK", "query_id": "TRUCK-1" }, { "db": "openalex", "stream": "UAV", "query_id": "UAV-1" } ], "streams": [ "TRUCK", "UAV" ], "relevance_signals": [ "UAV", "TRUCK" ], "auto_exclude_reason": null, "screening_status": "pending_human_screening", "screened_by": "auto-v1.0.0" }, { "id": "doi:10.3390/su172210041", "doi": "10.3390/su172210041", "title": "A Two-Stage Optimization of Hybrid Truck–Robot Delivery for Sustainable Urban Logistics", "year": 2025, "authors": [ "Sang-Myeong Kim", "Jae‐Dong Son" ], "first_author": "Sang-Myeong Kim", "venue": "Sustainability", "volume": "17", "pages": null, "type": "article", "language": "en", "abstract": "This study addresses the operational and environmental pressures of last-mile delivery in dense cities under limited urban logistics hubs. We propose a resource-efficient framework that repurposes existing convenience stores as robotic delivery hubs and formalize its operation via a two-stage optimization coupling truck and robot routing. In controlled simulations, and in a Seoul street network scenario, the approach reduces total completion time relative to a truck-only benchmark and lowers truck activity (truck-kilometers and curb idling), leading to lower estimated CO2e under standard emission factors. We also observe a nonlinear relationship between the number of hubs and efficiency, suggesting a coverage “sweet spot”. These results indicate that with minimal new infrastructure, reusing commercial assets can improve operational performance and environmental proxies; social and labor outcomes are not measured here and are left for future field evaluation.", "keywords": [ "Truck", "Benchmark (surveying)", "Reuse", "City logistics", "Sustainability", "Robot", "Field (mathematics)", "Coupling (piping)", "Optimization problem" ], "cited_by_openalex": 2, "cited_by_scopus": "1", "eid": "2-s2.0-105023108128", "pii": null, "open_access_url": "https://www.mdpi.com/2071-1050/17/22/10041/pdf?version=1762784573", "sources": [ { "db": "openalex", "stream": "TRUCK", "query_id": "TRUCK-1" }, { "db": "scopus", "stream": "TRUCK", "query_id": "TRUCK-1" } ], "streams": [ "TRUCK" ], "relevance_signals": [ "TRUCK" ], "auto_exclude_reason": null, "screening_status": "pending_human_screening", "screened_by": "auto-v1.0.0" }, { "id": "doi:10.1016/j.trd.2025.105033", "doi": "10.1016/j.trd.2025.105033", "title": "Sustainable urban freight: pavement, environmental, and economic impacts of heavy-duty electric trucks", "year": 2025, "authors": [ "Yue Chen", "Jianfeng Xue" ], "first_author": "Yue Chen", "venue": "Transportation Research Part D Transport and Environment", "volume": "149", "pages": null, "type": "article", "language": "en", "abstract": "Electric trucks are increasingly seen as a key solution for reducing emissions in urban freight transport. To support their deployment, several Australian states have introduced trial exemptions that allow higher axle loads to accommodate battery weight. This study investigates the effects of these weight-limit exemptions on the serviceability and sustainability of three typical pavement designs under different traffic volumes. A life cycle assessment and life cycle cost assessment were conducted to evaluate both environmental and economic implications. Results show that increased axle loads reduce pavement service life by approximately 50 %. When electric truck-induced pavement deterioration is considered, total global warming potential emissions decrease by 76.2 %, 40.9 %, and 2.95 % for three pavement types when all vehicles are electric. When pavement deterioration is not considered, the reductions increase to 78.5 %, 51.4 %, and 24.2 % due to the exclusion of emissions from rehabilitation and additional energy use caused by deteriorated surfaces.", "keywords": [ "Truck", "Serviceability (structure)", "Life-cycle assessment", "Axle", "Electrification", "Sustainability", "Global-warming potential", "Economic impact analysis", "Externality" ], "cited_by_openalex": 2, "cited_by_scopus": "1", "eid": "2-s2.0-105018585317", "pii": "S1361920925004432", "open_access_url": "https://doi.org/10.1016/j.trd.2025.105033", "sources": [ { "db": "openalex", "stream": "TRUCK", "query_id": "TRUCK-1" }, { "db": "scopus", "stream": "TRUCK", "query_id": "TRUCK-1" } ], "streams": [ "TRUCK" ], "relevance_signals": [ "TRUCK" ], "auto_exclude_reason": null, "screening_status": "pending_human_screening", "screened_by": "auto-v1.0.0" }, { "id": "doi:10.1080/17538947.2025.2577293", "doi": "10.1080/17538947.2025.2577293", "title": "Managing urban freight electrification: spatial insights into battery electric truck delivery demand", "year": 2025, "authors": [ "Jihao Deng", "Quan Yuan", "Baoze Liu", "Xiaohong Chen" ], "first_author": "Jihao Deng", "venue": "International Journal of Digital Earth", "volume": "18", "pages": null, "type": "article", "language": "en", "abstract": "The operational effectiveness of battery electric trucks (BETs) – a promising solution for mitigating the environmental impacts of urban freight—hinges on their spatiotemporal delivery patterns. Leveraging high-resolution GPS trajectory data from 2,652 BETs operating in Shanghai, this study employs spatial econometric models to examine how urban built environment factors shape BET delivery demand. Results reveal significant temporal variations, with delivery demands peaking during mid-day hours and being closely associated with specific land-use categories such as postal services, retail, and restaurants. Charging station density notably influences BET activities exclusively at mid-day, reflecting operational adjustments to battery limitations. BETs actively avoid congested central urban areas during peak times, highlighting the need for tailored urban freight management strategies, such as establishing dedicated zero-emission logistics zones and optimized charging infrastructure placement. This research advances the methodological understanding of electric freight demand modeling and provides actionable insights for policymakers aiming to enhance urban logistics efficiency and sustainability.", "keywords": [ "Truck", "City logistics", "Battery (electricity)", "Global Positioning System", "Battery capacity", "Urban area", "Traffic management" ], "cited_by_openalex": 1, "cited_by_scopus": "1", "eid": "2-s2.0-105021933094", "pii": null, "open_access_url": "https://www.tandfonline.com/doi/pdf/10.1080/17538947.2025.2577293?needAccess=true", "sources": [ { "db": "openalex", "stream": "TRUCK", "query_id": "TRUCK-1" }, { "db": "scopus", "stream": "TRUCK", "query_id": "TRUCK-1" }, { "db": "scopus", "stream": "TRUCK", "query_id": "TRUCK-3" } ], "streams": [ "TRUCK" ], "relevance_signals": [ "TRUCK" ], "auto_exclude_reason": null, "screening_status": "pending_human_screening", "screened_by": "auto-v1.0.0" }, { "id": "doi:10.1177/0308518x251361632", "doi": "10.1177/0308518x251361632", "title": "Towards a radical highway geography: Berlin and the remaking of city logistics in global capitalism", "year": 2025, "authors": [ "Susanne Soederberg" ], "first_author": "Susanne Soederberg", "venue": "Environment and Planning A Economy and Space", "volume": "57", "pages": "949-968", "type": "article", "language": "en", "abstract": "Highways are vital to global supply chains, enabling the dominant form of circulating goods inland by truck. Within critical economic geography and related disciplines, however, insufficient attention has been placed on developing a radical highway geography that positions highways within the evolving relationships between global capital, state scales and the labour of moving goods. I fill this silence by applying a historical-geographical materialist lens to Germany's most congested, costly, and controversial highway - Berlin's intercity A100 - to explore the entanglements of highways, labour power and the capitalist state within the socio-spatial and temporal dynamics of global capitalism. By following the A100 from the 1950s to the proposed completion of its contentious 16th extension in 2025, I argue that the 16th construction phase is the outcome of continual attempts by the capitalist state - at various scales of intervention - to annihilate space through time. These time-space compressions, which are incomplete, contradictory and contested, facilitate the circulation of commodities - understood here as urban freight and labour power - across space more rapidly and at lower cost, leading not only to a remaking of city logistics but also in the embodied labour of truck drivers, whose working lives increasingly reflect the pressures of accelerated circulation.", "keywords": [ "Capitalism", "Economic geography", "Sociology", "Geography", "Regional science", "Political science", "Politics", "Law" ], "cited_by_openalex": 2, "cited_by_scopus": "1", "eid": "2-s2.0-105014459107", "pii": null, "open_access_url": "https://doi.org/10.1177/0308518x251361632", "sources": [ { "db": "openalex", "stream": "TRUCK", "query_id": "TRUCK-1" }, { "db": "scopus", "stream": "TRUCK", "query_id": "TRUCK-1" } ], "streams": [ "TRUCK" ], "relevance_signals": [ "TRUCK" ], "auto_exclude_reason": null, "screening_status": "pending_human_screening", "screened_by": "auto-v1.0.0" }, { "id": "doi:10.2139/ssrn.5320948", "doi": "10.2139/ssrn.5320948", "title": "Reliable Design of Hub-Based Truck-Drone Relay Delivery System Under Uncertainty", "year": 2025, "authors": [ "Bo Zhang", "Meng Zhao", "Jiateng Yin", "Lixing Yang", "Xiangpei Hu" ], "first_author": "Bo Zhang", "venue": "SSRN Electronic Journal", "volume": null, "pages": null, "type": "preprint", "language": "en", "abstract": null, "keywords": [ "Drone", "Relay", "Truck", "Computer science", "Delivery system", "Engineering", "Automotive engineering", "Physics", "Biology" ], "cited_by_openalex": 1, "cited_by_scopus": 0, "eid": null, "pii": null, "open_access_url": "https://doi.org/10.2139/ssrn.5320948", "sources": [ { "db": "openalex", "stream": "TRUCK", "query_id": "TRUCK-1" }, { "db": "openalex", "stream": "UAV", "query_id": "UAV-1" } ], "streams": [ "TRUCK", "UAV" ], "relevance_signals": [ "UAV_NO_CTX", "TRUCK_NO_CTX" ], "auto_exclude_reason": "EC-4-topic", "screening_status": "auto_excluded", "screened_by": "auto-v1.0.0" }, { "id": "doi:10.1038/s44333-025-00054-4", "doi": "10.1038/s44333-025-00054-4", "title": "Optimization of a hierarchical hub and satellite network for urban freight on transit", "year": 2025, "authors": [ "Meijing Zhang", "Lynette W. Cheah" ], "first_author": "Meijing Zhang", "venue": "npj Sustainable Mobility and Transport", "volume": null, "pages": null, "type": "article", "language": "en", "abstract": "Growing urban populations drive the demand for urban goods movement, prompting interest in innovative urban logistics solutions. This study explores integrating passenger and freight transport by using public transport—the urban rail network—for parcel deliveries. We propose a three-echelon transit-based freight transport system. Parcels are initially transported by trucks from warehouses to hubs located at train stations. They are then transferred by rail to satellite stations, where smaller vehicles complete final deliveries to end destinations. The research focuses on strategic decisions pertaining to hub and satellite locations and tactical planning for vehicle routing and parcel assignments. To identify optimal satellite locations that minimize vehicle kilometers traveled, we develop an iterative heuristic algorithm. Furthermore, we assess the viability of the approach using real-world parcel delivery and rail network data in Singapore. Findings indicate that leveraging transit can significantly reduce vehicle kilometers traveled, thereby promoting sustainable urban logistics.", "keywords": [ "Transit (satellite)", "Satellite", "Transport engineering", "Computer science", "Geography", "Engineering", "Public transport", "Aerospace engineering" ], "cited_by_openalex": 1, "cited_by_scopus": 0, "eid": null, "pii": null, "open_access_url": "https://www.nature.com/articles/s44333-025-00054-4.pdf", "sources": [ { "db": "openalex", "stream": "TRUCK", "query_id": "TRUCK-1" }, { "db": "openalex", "stream": "TRUCK", "query_id": "TRUCK-2" } ], "streams": [ "TRUCK" ], "relevance_signals": [ "TRUCK" ], "auto_exclude_reason": null, "screening_status": "pending_human_screening", "screened_by": "auto-v1.0.0" }, { "id": "doi:10.3390/app152312619", "doi": "10.3390/app152312619", "title": "Balancing Efficiency and Sustainability in Last-Mile Logistics: A Novel Multi-Truck Multi-Drone Collaborative Framework with Bi-Objective Optimization", "year": 2025, "authors": [ "Yong Chen", "Weimin Sheng", "Wenchao Yi" ], "first_author": "Yong Chen", "venue": "Applied Sciences", "volume": "15", "pages": null, "type": "article", "language": "en", "abstract": "The increasing variety in last-mile delivery demands requires diverse vehicle-drone collaboration models to meet various scenarios. Meanwhile, growing environmental concerns demand that we optimize not just delivery efficiency but also sustainability. This study thus proposes a unified multi-mode framework for collaborative multi-vehicle, multi-drone delivery networks to enable fair model comparisons. We introduce a hybrid metaheuristic algorithm combining NSGA-II and VND using specialized encoding and neighborhood structures to handle complex constraints, thereby comprehensively enhancing both efficiency and sustainability. Experiments on nine benchmark instances across three models reveal a nonlinear trade-off between efficiency and sustainability, with our migratory-relay model consistently outperforming others in terms of the Pareto front across multiple comparisons. Sensitivity analysis shows diminishing returns from adding more drones; while the first drone can cut emissions by up to 23.1%, additional drones bring progressively smaller reductions. These findings provide a strong framework and practical insights for designing sustainable urban logistics systems.", "keywords": [ "Drone", "Benchmark (surveying)", "Variety (cybernetics)", "Sustainability", "Pareto principle", "Multi-objective optimization", "Metaheuristic" ], "cited_by_openalex": 1, "cited_by_scopus": "1", "eid": "2-s2.0-105024914730", "pii": null, "open_access_url": "https://www.mdpi.com/2076-3417/15/23/12619/pdf?version=1764334096", "sources": [ { "db": "openalex", "stream": "TRUCK", "query_id": "TRUCK-1" }, { "db": "openalex", "stream": "UAV", "query_id": "UAV-1" }, { "db": "scopus", "stream": "TRUCK", "query_id": "TRUCK-1" }, { "db": "scopus", "stream": "UAV", "query_id": "UAV-1" }, { "db": "scopus", "stream": "UAV", "query_id": "UAV-2" } ], "streams": [ "TRUCK", "UAV" ], "relevance_signals": [ "UAV", "TRUCK" ], "auto_exclude_reason": null, "screening_status": "pending_human_screening", "screened_by": "auto-v1.0.0" }, { "id": "doi:10.1109/iscait64916.2025.11010317", "doi": "10.1109/iscait64916.2025.11010317", "title": "The joint optimization of truck-drone routes for last-mile delivery", "year": 2025, "authors": [ "Lei Zhou", "Chunxiao Li", "Yuhao Li" ], "first_author": "Lei Zhou", "venue": "2025 4th International Symposium on Computer Applications and Information Technology Iscait 2025", "volume": null, "pages": "1066-1069", "type": "conference-paper", "language": "en", "abstract": "This article proposes a joint allocation problem between truck and drone. On the basis of considering the constraints of drone battery capacity and load capacity, a mixed integer programming model for collaborative delivery between drones and vehicles was constructed to minimize the total delivery cost. In order to effectively solve the coordinated distribution path planning problem of a single drone and a single aircraft, chaotic mapping is applied to the initial population, adaptive population ratios are used, and a spiral search strategy is adopted to improve the sparrow search algorithm. Several local search strategies have been proposed. Finally, numerical experiments verified its effectiveness and compared the proposed model with traditional travel salesman problem models, highlighting its advantages.", "keywords": [ "Mile", "Drone", "Truck", "Last mile (transportation)", "Joint (building)", "Computer science", "Aeronautics", "Transport engineering", "Engineering", "Automotive engineering", "Civil engineering", "Geography" ], "cited_by_openalex": 0, "cited_by_scopus": "1", "eid": "2-s2.0-105010198986", "pii": null, "open_access_url": "https://doi.org/10.1109/iscait64916.2025.11010317", "sources": [ { "db": "openalex", "stream": "TRUCK", "query_id": "TRUCK-1" }, { "db": "openalex", "stream": "UAV", "query_id": "UAV-1" }, { "db": "scopus", "stream": "TRUCK", "query_id": "TRUCK-1" }, { "db": "scopus", "stream": "UAV", "query_id": "UAV-1" } ], "streams": [ "TRUCK", "UAV" ], "relevance_signals": [ "UAV", "TRUCK" ], "auto_exclude_reason": null, "screening_status": "pending_human_screening", "screened_by": "auto-v1.0.0" }, { "id": "doi:10.1007/978-981-96-3969-4_38", "doi": "10.1007/978-981-96-3969-4_38", "title": "Multi-objective Optimization Study of Electric Heavy Truck Composite Braking System Based on IVY Algorithm", "year": 2025, "authors": [ "Zhenliang Ma", "Xiaopeng Yang", "Falong Wang", "Yi Liu", "Chen Chang", "Xianglin Meng", "Mengqi Gao", "Xiangbo Han" ], "first_author": "Zhenliang Ma", "venue": "Lecture notes in electrical engineering", "volume": "1392 LNEE", "pages": "341-355", "type": "conference-paper", "language": "en", "abstract": null, "keywords": [ "Truck", "Automotive engineering", "Braking system", "Composite number", "Computer science", "Optimization algorithm", "Algorithm", "Engineering", "Mathematics", "Mathematical optimization", "Brake" ], "cited_by_openalex": 1, "cited_by_scopus": "1", "eid": "2-s2.0-105002115077", "pii": null, "open_access_url": "https://doi.org/10.1007/978-981-96-3969-4_38", "sources": [ { "db": "openalex", "stream": "TRUCK", "query_id": "TRUCK-1" }, { "db": "scopus", "stream": "TRUCK", "query_id": "TRUCK-1" } ], "streams": [ "TRUCK" ], "relevance_signals": [ "TRUCK_NO_CTX" ], "auto_exclude_reason": "EC-4-topic", "screening_status": "auto_excluded", "screened_by": "auto-v1.0.0" }, { "id": "doi:10.2139/ssrn.5312573", "doi": "10.2139/ssrn.5312573", "title": "Exploring Drive-By Sensing and Deep Learning for Urban Truck Characterization Using Google Street View Imagery", "year": 2025, "authors": [ "Bo Shang", "Yiqiao Li", "Blanche Horbach", "Kevin Villon" ], "first_author": "Bo Shang", "venue": "SSRN Electronic Journal", "volume": null, "pages": null, "type": "preprint", "language": "en", "abstract": null, "keywords": [ "Truck", "Deep learning", "Characterization (materials science)", "Computer science", "Artificial intelligence", "Cartography", "Geography", "Engineering", "Automotive engineering" ], "cited_by_openalex": 1, "cited_by_scopus": 0, "eid": null, "pii": null, "open_access_url": "https://doi.org/10.2139/ssrn.5312573", "sources": [ { "db": "openalex", "stream": "TRUCK", "query_id": "TRUCK-1" } ], "streams": [ "TRUCK" ], "relevance_signals": [ "TRUCK_NO_CTX" ], "auto_exclude_reason": "EC-4-topic", "screening_status": "auto_excluded", "screened_by": "auto-v1.0.0" }, { "id": "doi:10.1016/j.trc.2025.105206", "doi": "10.1016/j.trc.2025.105206", "title": "Parametric design of time-sensitive routing with recipient-dependent contributions", "year": 2025, "authors": [ "Bahar D. Viniche", "Opher Baron", "Oded Berman", "Mehdi Nourinejad" ], "first_author": "Bahar D. Viniche", "venue": "Transportation Research Part C Emerging Technologies", "volume": "178", "pages": null, "type": "article", "language": "en", "abstract": "Last-mile delivery complexities intensify for perishable goods, which must maintain quality, mainly when transported on non-refrigerated vehicles. If recipients are unavailable, delivery failure may prolong the delivery of perishable goods, thus jeopardizing their integrity. This study proposes recipient-dependent last-mile delivery solutions for perishable goods with time-sensitive delivery routes where the recipients contribute to the process. We explore applications of Autonomous Vehicles (AVs) in recipient-dependent deliveries of perishable goods and compare traditional truck delivery with a proposed AV pickup policy and other multi-echelon routing policies. We propose a parametric design of the policies, characterizing each policy by a set of variables inspired by the network design literature. In this study, routes are regarded as length-constrained, which is essential for the time-sensitive delivery of perishable goods. We compare the optimal cost of policies in length-bounding (time-sensitive) with capacity-bounding routes. A detailed dominance space analysis highlights the optimal policy under various cost structures and shows that the status quo for truck delivery is dominated as the number of deliveries increases. Increasing hand-off costs also lead to the dominance of AV and hybrid policies over traditional truck delivery. We validate the proposed managerial insights through a case study of a Walmart location delivery service in Toronto, proving the applicability of the models. This research contributes to the strategic integration of AVs in last-mile delivery of perishable goods.", "keywords": [ "Parametric statistics", "Routing (electronic design automation)", "Computer science", "Engineering", "Transport engineering", "Computer network", "Mathematics", "Statistics" ], "cited_by_openalex": 1, "cited_by_scopus": "1", "eid": "2-s2.0-105007621413", "pii": "S0968090X25002104", "open_access_url": "https://doi.org/10.1016/j.trc.2025.105206", "sources": [ { "db": "openalex", "stream": "TRUCK", "query_id": "TRUCK-1" }, { "db": "scopus", "stream": "TRUCK", "query_id": "TRUCK-1" } ], "streams": [ "TRUCK" ], "relevance_signals": [ "TRUCK" ], "auto_exclude_reason": null, "screening_status": "pending_human_screening", "screened_by": "auto-v1.0.0" }, { "id": "doi:10.1007/978-3-031-04196-9_36-1", "doi": "10.1007/978-3-031-04196-9_36-1", "title": "The Role of Freight Transportation in Smart Cities for Advancing the Clean Energy Transition", "year": 2025, "authors": [ "Lætitia Dablanc" ], "first_author": "Lætitia Dablanc", "venue": "Palgrave Studies in Energy Transitions", "volume": null, "pages": null, "type": "book-chapter", "language": "en", "abstract": null, "keywords": [ "Transport engineering", "Transition (genetics)", "Clean energy", "Energy (signal processing)", "Business", "Engineering", "Environmental engineering", "Chemistry", "Physics" ], "cited_by_openalex": 1, "cited_by_scopus": 0, "eid": null, "pii": null, "open_access_url": "https://doi.org/10.1007/978-3-031-04196-9_36-1", "sources": [ { "db": "openalex", "stream": "TRUCK", "query_id": "TRUCK-1" } ], "streams": [ "TRUCK" ], "relevance_signals": [ "NO_TECHNOLOGY_MATCH" ], "auto_exclude_reason": "EC-4-topic", "screening_status": "auto_excluded", "screened_by": "auto-v1.0.0" }, { "id": "doi:10.1007/978-3-032-07989-3_36", "doi": "10.1007/978-3-032-07989-3_36", "title": "Viability of Electric Vehicle Adoption in Outbound Logistics: A Blockchain-Based Lifecycle Sustainability Assessment Approach", "year": 2025, "authors": [ "Mohammad Yaser Mofatteh", "Christopher Fabian Mattaba", "Ma. Keni Lucero Villaruz", "Pandurang Kishanrao Kawale", "Omid Fatahi Valilai" ], "first_author": "Mohammad Yaser Mofatteh", "venue": "Lecture notes in networks and systems", "volume": "1676 LNNS", "pages": "560-576", "type": "conference-paper", "language": "en", "abstract": null, "keywords": [ "Truck", "Electric vehicle", "Green vehicle", "Carbon footprint", "Sustainability", "Total cost of ownership", "Investment (military)", "Miles per gallon gasoline equivalent", "Sustainable transport" ], "cited_by_openalex": 1, "cited_by_scopus": "1", "eid": "2-s2.0-105020568173", "pii": null, "open_access_url": "https://doi.org/10.1007/978-3-032-07989-3_36", "sources": [ { "db": "openalex", "stream": "TRUCK", "query_id": "TRUCK-1" }, { "db": "scopus", "stream": "TRUCK", "query_id": "TRUCK-1" } ], "streams": [ "TRUCK" ], "relevance_signals": [ "TRUCK_NO_CTX" ], "auto_exclude_reason": "EC-4-topic", "screening_status": "auto_excluded", "screened_by": "auto-v1.0.0" }, { "id": "doi:10.1016/j.future.2025.108004", "doi": "10.1016/j.future.2025.108004", "title": "Digital-twins and machine learning-assisted stable, energy-aware unmanned aerial and ground vehicles delivery in blockchain-enabled crowdsourcing framework", "year": 2025, "authors": [ "Feruz K. Elmay", "Maha Kadadha", "Shakti Singh", "Rabeb Mizouni", "Hadi Otrok", "Azzam Mourad" ], "first_author": "Feruz K. Elmay", "venue": "Future Generation Computer Systems", "volume": "174", "pages": null, "type": "article", "language": "en", "abstract": null, "keywords": [ "Crowdsourcing", "Computer science", "Blockchain", "Unmanned ground vehicle", "Artificial intelligence", "Drone", "Energy (signal processing)", "Human–computer interaction", "Computer security", "World Wide Web" ], "cited_by_openalex": 1, "cited_by_scopus": "1", "eid": "2-s2.0-105010228012", "pii": "S0167739X25002997", "open_access_url": "https://doi.org/10.1016/j.future.2025.108004", "sources": [ { "db": "openalex", "stream": "TRUCK", "query_id": "TRUCK-1" }, { "db": "openalex", "stream": "UAV", "query_id": "UAV-1" }, { "db": "scopus", "stream": "TRUCK", "query_id": "TRUCK-1" }, { "db": "scopus", "stream": "UAV", "query_id": "UAV-1" } ], "streams": [ "TRUCK", "UAV" ], "relevance_signals": [ "UAV_NO_CTX" ], "auto_exclude_reason": "EC-4-topic", "screening_status": "auto_excluded", "screened_by": "auto-v1.0.0" }, { "id": "doi:10.1016/j.jtrangeo.2025.104504", "doi": "10.1016/j.jtrangeo.2025.104504", "title": "A parcel locker sharing system to enhance accessibility and equity", "year": 2025, "authors": [ "Si Liu", "Ahana Malhotra", "Elkafi Hassini" ], "first_author": "Si Liu", "venue": "Journal of Transport Geography", "volume": "130", "pages": null, "type": "article", "language": "en", "abstract": null, "keywords": [ "Equity (law)", "Benchmark (surveying)", "Truck", "Service level", "Service (business)" ], "cited_by_openalex": 1, "cited_by_scopus": "1", "eid": "2-s2.0-105022940043", "pii": "S0966692325003953", "open_access_url": "https://doi.org/10.1016/j.jtrangeo.2025.104504", "sources": [ { "db": "openalex", "stream": "TRUCK", "query_id": "TRUCK-1" }, { "db": "scopus", "stream": "TRUCK", "query_id": "TRUCK-1" } ], "streams": [ "TRUCK" ], "relevance_signals": [ "TRUCK_NO_CTX" ], "auto_exclude_reason": "EC-4-topic", "screening_status": "auto_excluded", "screened_by": "auto-v1.0.0" }, { "id": "doi:10.1016/j.ijtst.2025.05.002", "doi": "10.1016/j.ijtst.2025.05.002", "title": "Erosion-enhanced rain optimization algorithm for efficient blood bag transport in multimodal healthcare logistics", "year": 2025, "authors": [ "Tejinder Singh Lakhwani", "Yerasani Sinjana", "Anuj Pal Kapoor" ], "first_author": "Tejinder Singh Lakhwani", "venue": "International Journal of Transportation Science and Technology", "volume": "22", "pages": "355-382", "type": "article", "language": "en", "abstract": "The Erosion-Enhanced Rain Optimization Algorithm (ROA) is introduced as an advanced framework to address pressing challenges in multimodal healthcare logistics, focusing on the efficient and timely delivery of critical supplies such as blood bags. This study integrates dynamic erosion penalties and predictive machine learning models into the ROA, enabling real-time adaptation to route degradation, traffic congestion, and environmental variability. The algorithm balances operational efficiency, sustainability, and resilience by utilizing trucks for long-distance transport and drones for last-mile delivery. The predictive component, with metrics such as MSE (0.0301), RMSE (0.1736), and R2 (0.8393), forecasts route degradation trends, supporting preemptive maintenance and rerouting strategies to ensure consistent performance. Validated using real-world datasets from Delhi, India, under conditions like no-fly zones, adverse weather, and high traffic density, the ROA demonstrated remarkable performance. It reduced delivery times by 9%, improved drone energy efficiency by 15%, and achieved a 12%–18% reduction in carbon emissions compared to static models. Maintenance-based erosion recovery reduced overall route degradation by 8%, reinforcing the system’s adaptability and long-term sustainability. These results underscore the model’s capacity to handle complex and dynamic healthcare logistics networks effectively. This study highlights the ROA’s unique contributions, including its dynamic adaptation mechanisms and predictive insights, and it focuses on balancing efficiency with environmental sustainability. Its scalability and versatility extend its application potential beyond healthcare logistics to other industries facing real-time logistical challenges.", "keywords": [ "Business", "Computer science", "Health care", "Multimodal transport", "Erosion", "Algorithm", "Transport engineering", "Engineering", "Marketing", "Economics", "Geology" ], "cited_by_openalex": 2, "cited_by_scopus": "1", "eid": "2-s2.0-105006731083", "pii": "S2046043025000711", "open_access_url": "https://doi.org/10.1016/j.ijtst.2025.05.002", "sources": [ { "db": "openalex", "stream": "TRUCK", "query_id": "TRUCK-1" }, { "db": "openalex", "stream": "UAV", "query_id": "UAV-1" }, { "db": "scopus", "stream": "TRUCK", "query_id": "TRUCK-1" }, { "db": "scopus", "stream": "UAV", "query_id": "UAV-1" } ], "streams": [ "TRUCK", "UAV" ], "relevance_signals": [ "UAV", "TRUCK" ], "auto_exclude_reason": null, "screening_status": "pending_human_screening", "screened_by": "auto-v1.0.0" }, { "id": "doi:10.1007/978-3-031-95284-5_36", "doi": "10.1007/978-3-031-95284-5_36", "title": "Development of an Intelligent System for Urban Logistics to Facilitate Sustainable Optimization", "year": 2025, "authors": [ "Paul-Eric Dossou", "Jow Irudayaraj" ], "first_author": "Paul-Eric Dossou", "venue": "Lecture notes in mobility", "volume": "Part F658", "pages": "253-258", "type": "conference-paper", "language": "en", "abstract": "Abstract One of the major rising factors nowadays is, the use of automobiles for daily commute and usage of big trucks for shipping goods are rapidly and incredibly increasing in all major and important cities all around the world, which indeed leads to a problem of traffic jam. Indeed, for road users, whether they are residents or professionals, there is an unbalance in the circulation, increased congestion and road traffic affects all types of users from industry to office people on their day-to-day run. This congestion leads to many problems like air and noise pollution, parking problems, affecting quality of life for habitants, traffic problems on the road. This paper aims to develop an intelligent tool exploiting the concepts industry 4.0 as a support for the definition of alternative solutions to road transportation to increase companies’ sustainable performance. The article is organized as follow. After a literature review on artificial intelligence and urban logistics, the intelligent tool being developed for the sustainable optimization will be presented. An illustration case will be exposed.", "keywords": [ "Traffic congestion", "Truck", "Transport engineering", "Business", "Sustainable development", "Computer science", "Engineering" ], "cited_by_openalex": 0, "cited_by_scopus": "1", "eid": "2-s2.0-105011981080", "pii": null, "open_access_url": "https://link.springer.com/content/pdf/10.1007/978-3-031-95284-5_36.pdf", "sources": [ { "db": "openalex", "stream": "TRUCK", "query_id": "TRUCK-1" }, { "db": "scopus", "stream": "TRUCK", "query_id": "TRUCK-1" } ], "streams": [ "TRUCK" ], "relevance_signals": [ "TRUCK" ], "auto_exclude_reason": null, "screening_status": "pending_human_screening", "screened_by": "auto-v1.0.0" }, { "id": "doi:10.1016/j.orp.2025.100360", "doi": "10.1016/j.orp.2025.100360", "title": "Recursive delivery multiple flying sidekicks traveling salesman problem: An enlightenment of the Covid-19 pandemic", "year": 2025, "authors": [ "Fatemeh Jamshidian", "Saeed Yaghoubi", "Mohammad Sadeghi" ], "first_author": "Fatemeh Jamshidian", "venue": "Operations Research Perspectives", "volume": "15", "pages": null, "type": "article", "language": "en", "abstract": "• Constructing a mathematical model for the novel Recursive Delivery Traveling Salesman Problem. • Utilizing a truck and several drones to distribute a variety of services over multiple periods. • An MILP model that explicitly considers revisit constraints dependent on both the timing and type of prior service. • Developing a metaheuristic approach to solve the problem on a large scale. The last-mile delivery of COVID-19 vaccines required a structured timeframe, particularly for double-dose vaccines, where follow-up deliveries had to occur after vaccine type-specific intervals. This recurring service pattern inspired the development of a novel recursive delivery concept—where services must be repeated based on prior deliveries and elapsed time. We define recursive delivery as a multi-period mechanism that dynamically establishes whether, when, and how each customer should be revisited, built upon both service history and time-based constraints. To capture such recursive service patterns, this paper introduces a coordinated truck-drone delivery system, where either vehicle may recursively revisit previously serviced locations depending on the type of service—single or recursive— provided in earlier periods. To formalize this concept, we present a new variant of the Traveling Salesman Problem, termed the Recursive delivery multiple Flying Sidekicks Traveling Salesman Problem ( R − m F S T S P ) . This model extends traditional T S P by incorporating dynamic, service-type-dependent revisit scheduling. The R − m F S T S P has wide applicability in various domains requiring structured, time-sensitive service repetition, such as maintenance, health services, and supply replenishment. We formulate the R − m F S T S P as a mixed-integer linear programming model aimed at minimizing total transportation costs. Given the computational limitations of exact solvers for large-scale instances, a tailored metaheuristic algorithm has been developed to address the structural characteristics of the proposed R − m F S T S P . Its performance has been benchmarked against results from a relevant study, demonstrating competitive outcomes. Furthermore, a lower bound is provided to evaluate the quality of the obtained solutions.", "keywords": [ "Travelling salesman problem", "Traveling purchaser problem", "Service (business)", "Drone", "Variety (cybernetics)", "Truck", "2-opt" ], "cited_by_openalex": 1, "cited_by_scopus": "1", "eid": "2-s2.0-105020859759", "pii": "S2214716025000363", "open_access_url": "https://doi.org/10.1016/j.orp.2025.100360", "sources": [ { "db": "openalex", "stream": "TRUCK", "query_id": "TRUCK-1" }, { "db": "openalex", "stream": "UAV", "query_id": "UAV-1" }, { "db": "scopus", "stream": "TRUCK", "query_id": "TRUCK-1" }, { "db": "scopus", "stream": "UAV", "query_id": "UAV-1" } ], "streams": [ "TRUCK", "UAV" ], "relevance_signals": [ "UAV", "TRUCK" ], "auto_exclude_reason": null, "screening_status": "pending_human_screening", "screened_by": "auto-v1.0.0" }, { "id": "doi:10.1016/j.retrec.2025.101672", "doi": "10.1016/j.retrec.2025.101672", "title": "Designating optimal location of urban consolidation centres in the city of Istanbul: A triple-staged approach in the context of sustainable supply chain management", "year": 2025, "authors": [ "Mehmet Tanyas", "Ozden Ozkanlisoy" ], "first_author": "Mehmet Tanyas", "venue": "Research in Transportation Economics", "volume": "114", "pages": null, "type": "article", "language": "en", "abstract": null, "keywords": [ "Sustainability", "City logistics", "Supply chain", "Analytic hierarchy process", "Stakeholder", "Context (archaeology)", "Consolidation (business)", "Truck" ], "cited_by_openalex": 1, "cited_by_scopus": "1", "eid": "2-s2.0-105024193958", "pii": "S0739885925001556", "open_access_url": "https://doi.org/10.1016/j.retrec.2025.101672", "sources": [ { "db": "openalex", "stream": "TRUCK", "query_id": "TRUCK-1" }, { "db": "scopus", "stream": "TRUCK", "query_id": "TRUCK-1" } ], "streams": [ "TRUCK" ], "relevance_signals": [ "TRUCK" ], "auto_exclude_reason": null, "screening_status": "pending_human_screening", "screened_by": "auto-v1.0.0" }, { "id": "doi:10.1007/s13177-025-00558-w", "doi": "10.1007/s13177-025-00558-w", "title": "A Hybrid Metaheuristic Algorithm for Solving Vehicle Routing Problem with Drone (VRPD)", "year": 2025, "authors": [ "Ahmad Rahimi Denjkolaei", "Rasul Enayatifar", "Mahdi Golsorkhtabaramiri", "Kamal Jadidy Aval" ], "first_author": "Ahmad Rahimi Denjkolaei", "venue": "International Journal of Intelligent Transportation Systems Research", "volume": "23", "pages": "2046-2066", "type": "article", "language": "en", "abstract": null, "keywords": [ "Drone", "Vehicle routing problem", "Benchmark (surveying)", "Metaheuristic", "Heuristic", "Variable neighborhood search", "Greedy algorithm", "Routing (electronic design automation)" ], "cited_by_openalex": 0, "cited_by_scopus": "1", "eid": "2-s2.0-105018317897", "pii": null, "open_access_url": "https://doi.org/10.1007/s13177-025-00558-w", "sources": [ { "db": "openalex", "stream": "TRUCK", "query_id": "TRUCK-1" }, { "db": "openalex", "stream": "UAV", "query_id": "UAV-1" }, { "db": "openalex", "stream": "UAV", "query_id": "UAV-2" }, { "db": "scopus", "stream": "TRUCK", "query_id": "TRUCK-1" }, { "db": "scopus", "stream": "UAV", "query_id": "UAV-1" }, { "db": "scopus", "stream": "UAV", "query_id": "UAV-2" } ], "streams": [ "TRUCK", "UAV" ], "relevance_signals": [ "UAV_NO_CTX" ], "auto_exclude_reason": "EC-4-topic", "screening_status": "auto_excluded", "screened_by": "auto-v1.0.0" }, { "id": "doi:10.1109/aimv66517.2025.11203569", "doi": "10.1109/aimv66517.2025.11203569", "title": "Optimizing Parcel Delivery: The Role of Drones in Modern Logistics", "year": 2025, "authors": [ "Keni Tandel", "Niya Patel", "Samir B Patel" ], "first_author": "Keni Tandel", "venue": "2025 International Conference on Artificial Intelligence and Machine Vision Aimv 2025", "volume": null, "pages": null, "type": "conference-paper", "language": null, "abstract": "Online shopping has been more popular in recent years, which has resulted in a rise in parcel deliveries. In the past, parcel distribution by truck was an efficient method. However, with developing technologies, deliveries can now be conducted using unmanned air vehicles such as drones. This study paper explains the use of drones in logistics and compares them to traditional delivery techniques in order to develop optimized delivery methods. Deliveries with drones require various critical components, such as determining the trajectory or path to be taken, weight limitations, battery life, and drone speed. Using these drone features and designing a path that includes the warehouse, charging station, and as many delivery destinations as feasible transforms the logistics industry into a smart transport firm. This can be accomplished using a variety of techniques, including the traveling salesman problem, routing problem, and combinatorial optimization. Additionally, deploying multiple drones for distribution is advantageous. This research study examines how parcel delivery might be enhanced to improve the logistics industry. To employ drones, companies must grasp networking and computer vision technology. Drone delivery relies on computer vision to perceive and analyze surrounding data in real time. In the final stage of delivery (last mile delivery), computer vision is used to authenticate or verify the delivery address. All of these aspects and components come together to make smart transportation a reality.", "keywords": [ "Drone", "Variety (cybernetics)", "Last mile (transportation)", "Travelling salesman problem", "Destinations", "Path (computing)", "Truck", "Delivery Performance" ], "cited_by_openalex": 0, "cited_by_scopus": "1", "eid": "2-s2.0-105021829513", "pii": null, "open_access_url": "https://doi.org/10.1109/aimv66517.2025.11203569", "sources": [ { "db": "openalex", "stream": "TRUCK", "query_id": "TRUCK-1" }, { "db": "openalex", "stream": "UAV", "query_id": "UAV-1" }, { "db": "openalex", "stream": "UAV", "query_id": "UAV-2" }, { "db": "scopus", "stream": "TRUCK", "query_id": "TRUCK-1" }, { "db": "scopus", "stream": "UAV", "query_id": "UAV-1" }, { "db": "scopus", "stream": "UAV", "query_id": "UAV-2" } ], "streams": [ "TRUCK", "UAV" ], "relevance_signals": [ "UAV", "TRUCK" ], "auto_exclude_reason": null, "screening_status": "pending_human_screening", "screened_by": "auto-v1.0.0" }, { "id": "doi:10.1038/s41598-025-04325-5", "doi": "10.1038/s41598-025-04325-5", "title": "Model for selective vehicle problem considering mixed fleet with capacitated electric vehicles", "year": 2025, "authors": [ "Jiacheng Li", "Masato Noto", "Yang Zhang", "Jia Guo" ], "first_author": "Jiacheng Li", "venue": "Scientific Reports", "volume": "15", "pages": null, "type": "article", "language": "en", "abstract": "As the introduction of electric vehicles has significantly changed the composition of fleets for the majority of logistics providers, addressing the last-mile delivery issue with a mixed fleet of conventional and electric vehicles has become an urgent need. Key problems for delivery service providers include how to effectively reduce energy consumption during delivery and improve the daily delivery completion rate. This paper considers the self-loading constraints and energy consumption constraints of different types of trucks and establishes a multi-objective optimization model aimed at maximizing service completion, minimizing service energy consumption, and minimizing emission. Subsequently, an adaptive large neighborhood search algorithm, improved on the basis of simulated annealing principles and local search algorithms, is proposed. The performance and computational efficiency of this algorithm are validated through comparative analysis with other classic optimization algorithms on test instances. It has been observed that ALNS performs commendably in addressing the problem presented in this text. Moreover, the algorithm proposed herein has optimized the solution by approximately 2% to 15% compared to traditional algorithms. Finally, using a medium-sized example with 250 demands and 10 vehicles, the impact of parameters such as the proportion of oil to electric vehicles and expired compensation prices on delivery completion and delivery costs is explored. The study reveals that the advantages of energy conservation and emission reduction can only be fully realized when the proportion of electric vehicles reaches 80%. The research results can provide decision-making references for logistics fleet managers at the current stage.", "keywords": [ "Computer science", "Electric vehicle", "Automotive engineering", "Vehicle routing problem", "Computer network", "Engineering", "Routing (electronic design automation)" ], "cited_by_openalex": 0, "cited_by_scopus": "1", "eid": "2-s2.0-105009716748", "pii": null, "open_access_url": "https://www.nature.com/articles/s41598-025-04325-5.pdf", "sources": [ { "db": "openalex", "stream": "TRUCK", "query_id": "TRUCK-1" }, { "db": "scopus", "stream": "TRUCK", "query_id": "TRUCK-1" } ], "streams": [ "TRUCK" ], "relevance_signals": [ "TRUCK" ], "auto_exclude_reason": null, "screening_status": "pending_human_screening", "screened_by": "auto-v1.0.0" }, { "id": "doi:10.1016/j.asoc.2025.114219", "doi": "10.1016/j.asoc.2025.114219", "title": "An adaptive ant colony algorithm for urban-rural collaborative electric vehicle routing problem", "year": 2025, "authors": [ "Lijun Fan", "Changshi Liu", "Bo Dai", "Junyu Li", "Y. Zhang", "Ruiyou Zhang" ], "first_author": "Lijun Fan", "venue": "Applied Soft Computing", "volume": "186", "pages": null, "type": "article", "language": "en", "abstract": null, "keywords": [ "Ant colony optimization algorithms", "Microgrid", "Vehicle routing problem", "Electric vehicle", "Renewable energy", "Energy consumption", "Sustainable transport", "Electricity" ], "cited_by_openalex": 1, "cited_by_scopus": "1", "eid": "2-s2.0-105022430826", "pii": "S1568494625015327", "open_access_url": "https://doi.org/10.1016/j.asoc.2025.114219", "sources": [ { "db": "openalex", "stream": "TRUCK", "query_id": "TRUCK-2" }, { "db": "scopus", "stream": "TRUCK", "query_id": "TRUCK-2" } ], "streams": [ "TRUCK" ], "relevance_signals": [ "NO_TECHNOLOGY_MATCH" ], "auto_exclude_reason": "EC-4-topic", "screening_status": "auto_excluded", "screened_by": "auto-v1.0.0" }, { "id": "doi:10.54254/2753-8818/2025.21231", "doi": "10.54254/2753-8818/2025.21231", "title": "Research on Vehicle Routing Optimization Based on VRPTW", "year": 2025, "authors": [ "Lingling Zeng", "Zijin Wang" ], "first_author": "Lingling Zeng", "venue": "Theoretical and Natural Science", "volume": null, "pages": null, "type": "article", "language": "en", "abstract": "Urban delivery, as an important link in the logistics chain, plays an increasingly prominent role in supporting urban manufacturing, consumption economy, and other sectors. This study establishes a mathematical model aimed at minimizing total cost, exploring the Vehicle Routing Problem with Time Windows (VRPTW) considering factors such as time windows, cargo capacity, and the number of vehicles. The model and algorithm’s effectiveness is validated through simulation examples. The results show that the model and algorithm successfully solve the VRPTW problem, providing a feasible path optimization method for industry practitioners.", "keywords": [ "Vehicle routing problem", "Computer science", "Mathematical optimization", "Routing (electronic design automation)", "Mathematics", "Computer network" ], "cited_by_openalex": 1, "cited_by_scopus": 0, "eid": null, "pii": null, "open_access_url": "https://tns.ewapub.com/article/view/21231.pdf", "sources": [ { "db": "openalex", "stream": "TRUCK", "query_id": "TRUCK-2" } ], "streams": [ "TRUCK" ], "relevance_signals": [ "NO_TECHNOLOGY_MATCH" ], "auto_exclude_reason": "EC-4-topic", "screening_status": "auto_excluded", "screened_by": "auto-v1.0.0" }, { "id": "doi:10.1016/j.ejor.2025.08.016", "doi": "10.1016/j.ejor.2025.08.016", "title": "A two-step large neighborhood search for a collaborative two-tier city logistics system", "year": 2025, "authors": [ "Johannes Gückel", "Teodor Gabriel Crainic", "Pirmin Fontaine" ], "first_author": "Johannes Gückel", "venue": "European Journal of Operational Research", "volume": "331", "pages": "139-155", "type": "article", "language": "en", "abstract": "The rapid transport of freight is an essential feature of modern societies and an enabling factor for economic trade and growth. Nevertheless, the negative impact of freight transportation in urban areas poses challenges for Logistics Service Providers (LSPs) as well as for municipalities. In this context, a centrally coordinated Two-Tier City Logistics System (2T-CLS), in which LSPs voluntarily agree to collaborate with each other, has the potential to reduce both economic and environmental impact costs. In order to plan such a system, it is important not only to make efficient use of the resources provided but also to have a mechanism that allocates the costs incurred to the individual LSPs. We introduce a mixed-integer linear program (MILP) formulation for the tactical planning of a 2T-CLS involving multiple LSPs that share their resources and customer demands. This MILP comprises a service network design formulation on the first tier and a vehicle routing problem formulation on the second tier, which are connected with each other. To address larger instances, we introduce an Integrative Two-Step Large Neighborhood Search with adaptive components that integrates first and second-tier decisions. In order not only to minimize the costs incurred but also to distribute them fairly, we investigate different problem-specific proportional methods, as well as more advanced game theoretical methods. Numerical experiments show that collaboration leads to average cost savings of 26.91%, which primarily stems from first-tier collaboration.", "keywords": [ "Order (exchange)", "Service (business)", "Routing (electronic design automation)", "Plan (archaeology)", "Network planning and design", "City logistics", "Vehicle routing problem", "Service provider", "Humanitarian Logistics" ], "cited_by_openalex": 1, "cited_by_scopus": "1", "eid": "2-s2.0-105018504799", "pii": "S0377221725006320", "open_access_url": "https://doi.org/10.1016/j.ejor.2025.08.016", "sources": [ { "db": "openalex", "stream": "TRUCK", "query_id": "TRUCK-2" }, { "db": "scopus", "stream": "TRUCK", "query_id": "TRUCK-2" } ], "streams": [ "TRUCK" ], "relevance_signals": [ "NO_TECHNOLOGY_MATCH" ], "auto_exclude_reason": "EC-4-topic", "screening_status": "auto_excluded", "screened_by": "auto-v1.0.0" }, { "id": "doi:10.1109/isbdas64762.2025.11116813", "doi": "10.1109/isbdas64762.2025.11116813", "title": "Bayesian Optimization for Adaptive Network Reconfiguration in Urban Delivery Systems", "year": 2025, "authors": [ "Junbo Wang" ], "first_author": "Junbo Wang", "venue": null, "volume": null, "pages": null, "type": "conference-paper", "language": "en", "abstract": "Urban delivery systems face numerous challenges due to fluctuating demand and dynamic traffic conditions, necessitating efficient route management for improved performance. We introduce a Bayesian Optimization framework designed for adaptive network reconfiguration in such environments. The method leverages Bayesian inference to model complex interactions within urban settings, allowing for real-time updates to delivery network configurations as conditions change. By integrating real-time data, this framework optimizes delivery routes, enhancing both efficiency and reliability. Experiments conducted in simulated urban delivery scenarios demonstrate notable advancements in performance metrics, highlighting improved time efficiency and resource utilization. The study showcases the potential of Bayesian optimization in making informed, effective decisions in real-world delivery logistics, paving the way for progress in smart urban transport systems.", "keywords": [ "Control reconfiguration", "Computer science", "Bayesian network", "Bayesian optimization", "Bayesian probability", "Distributed computing", "Artificial intelligence", "Embedded system" ], "cited_by_openalex": 1, "cited_by_scopus": 0, "eid": null, "pii": null, "open_access_url": "https://doi.org/10.1109/isbdas64762.2025.11116813", "sources": [ { "db": "openalex", "stream": "TRUCK", "query_id": "TRUCK-2" } ], "streams": [ "TRUCK" ], "relevance_signals": [ "NO_TECHNOLOGY_MATCH" ], "auto_exclude_reason": "EC-4-topic", "screening_status": "auto_excluded", "screened_by": "auto-v1.0.0" }, { "id": "doi:10.1007/s10696-025-09648-z", "doi": "10.1007/s10696-025-09648-z", "title": "Combining multiple delivery systems for urban logistics by ALNS-based route planning", "year": 2025, "authors": [ "Barbara Himstedt", "Frank Meisel" ], "first_author": "Barbara Himstedt", "venue": "Flexible Services and Manufacturing Journal", "volume": null, "pages": null, "type": "article", "language": "en", "abstract": "Abstract Diesel-powered delivery vans still dominate the parcel delivery sector. However, due to their negative environmental impact, delivery service providers are urged to switch to more innovative and eco-friendly delivery vehicles like cargo bikes, delivery robots, or drones. Unfortunately, relying on only one type of delivery system is not always feasible, either because the customer’s site lacks the requirements or because the parcel size is too large. A possible solution is to combine multiple such delivery systems. In this context, this paper focuses on a problem in city logistics based on the two-echelon vehicle routing problem. To accommodate a diverse range of delivery vehicles, it involves deploying various vehicle types in the second echelon, direct delivery by first-echelon vehicles, transfer of second-echelon vehicles and parcels at satellite locations, and preference constraints for customers and vehicle types. To solve the problem, we propose an Adaptive Large Neighborhood Search (ALNS) heuristic that features problem-specific local search and destroy operators. Experiments are conducted for an urban delivery area in Hamburg, Germany. They show that the ALNS can handle various fleet compositions and instance sizes. Our findings indicate that the combination of delivery systems can lead to significant cost savings compared to traditional van delivery and that customer preferences heavily influence the optimal fleet composition.", "keywords": [ "Routing (electronic design automation)", "Vehicle routing problem", "Heuristic", "Service delivery framework", "Delivery Performance", "Service (business)", "Delivery system" ], "cited_by_openalex": 2, "cited_by_scopus": "1", "eid": "2-s2.0-105025720238", "pii": null, "open_access_url": "https://link.springer.com/content/pdf/10.1007/s10696-025-09648-z.pdf", "sources": [ { "db": "openalex", "stream": "TRUCK", "query_id": "TRUCK-2" }, { "db": "openalex", "stream": "UAV", "query_id": "UAV-1" }, { "db": "openalex", "stream": "UAV", "query_id": "UAV-2" }, { "db": "scopus", "stream": "TRUCK", "query_id": "TRUCK-1" }, { "db": "scopus", "stream": "TRUCK", "query_id": "TRUCK-2" }, { "db": "scopus", "stream": "TRUCK", "query_id": "TRUCK-3" }, { "db": "scopus", "stream": "UAV", "query_id": "UAV-1" }, { "db": "scopus", "stream": "UAV", "query_id": "UAV-2" } ], "streams": [ "TRUCK", "UAV" ], "relevance_signals": [ "UAV" ], "auto_exclude_reason": null, "screening_status": "pending_human_screening", "screened_by": "auto-v1.0.0" }, { "id": "doi:10.1109/lcn65610.2025.11146292", "doi": "10.1109/lcn65610.2025.11146292", "title": "CARGO: A Co-Optimization Framework for EV Charging and Routing in Goods Delivery Logistics", "year": 2025, "authors": [ "Arindam Khanda", "Anurag Satpathy", "Amit Jha", "Sajal Kumar Das" ], "first_author": "Arindam Khanda", "venue": null, "volume": null, "pages": null, "type": "conference-paper", "language": "en", "abstract": "With growing interest in sustainable logistics, electric vehicle (EV)-based deliveries offer a promising alternative for urban distribution. However, EVs face challenges due to their limited battery capacity, requiring careful planning for recharging. This depends on factors such as the charging point (CP) availability, cost, proximity, and vehicles’ state of charge (SoC). We propose CARGO, a framework addressing the EV-based delivery route planning problem (EDRP), which jointly optimizes route planning and charging for deliveries within time windows. After proving the problem’s NP-hardness, we propose a mixed integer linear programming (MILP)-based exact solution and a computationally efficient heuristic method. Using real-world datasets, we evaluate our methods by comparing the heuristic to the MILP solution, and benchmarking it against baseline strategies, Earliest Deadline First (EDF) and Nearest Delivery First (NDF). The results show up to 39% and 22% reductions in the charging cost over EDF and NDF, respectively, while completing comparable deliveries.", "keywords": [ "Integer programming", "Heuristic", "Benchmarking", "Linear programming", "Baseline (sea)", "Vehicle routing problem", "Routing (electronic design automation)", "Point (geometry)", "Route planning" ], "cited_by_openalex": 1, "cited_by_scopus": 0, "eid": null, "pii": null, "open_access_url": "https://doi.org/10.1109/lcn65610.2025.11146292", "sources": [ { "db": "openalex", "stream": "TRUCK", "query_id": "TRUCK-2" } ], "streams": [ "TRUCK" ], "relevance_signals": [ "NO_TECHNOLOGY_MATCH" ], "auto_exclude_reason": "EC-4-topic", "screening_status": "auto_excluded", "screened_by": "auto-v1.0.0" }, { "id": "doi:10.1504/ejie.2025.147178", "doi": "10.1504/ejie.2025.147178", "title": "Design and development of an optimisation model and simheuristic framework for the on-demand delivery problem with driver-experience-based stochastic travel time", "year": 2025, "authors": [ "Shuzhu Zhang", "Bingbing Qiu", "Jinyue Tian" ], "first_author": "Shuzhu Zhang", "venue": "European J of Industrial Engineering", "volume": "20", "pages": "127-155", "type": "article", "language": "en", "abstract": "In this research, we investigate an on-demand delivery problem in city logistics, in which delivery requests from online customers are received in real-time and delivery services are conducted in short time. A multi-stage stochastic vehicle routing optimisation model is proposed, which incorporates two unique features arising from city logistics delivery, i.e., driver experience and stochastic travel time. In practice, the estimated travel time is indeed affected by the driver experience and can be gradually improved as drivers learn from accumulative delivery experience. A simheuristic framework is developed to handle the proposed model, in which an improved adaptive large neighbourhood search is designed for searching promising solutions with deterministic travel time, and Monte Carlo simulation is leveraged to assess the solution qualities and facilitate the searching process in stochastic scenarios. Computational experiments demonstrate that the proposed simheuristic framework can tackle the on-demand delivery problem with satisfactory performance. [Submitted: 22 November 2023; Accepted: 13 April 2024]", "keywords": [ "Computer science", "Development (topology)", "Operations research", "Transport engineering", "Engineering", "Mathematics" ], "cited_by_openalex": 2, "cited_by_scopus": "1", "eid": "2-s2.0-105010420017", "pii": null, "open_access_url": "https://doi.org/10.1504/ejie.2025.147178", "sources": [ { "db": "openalex", "stream": "TRUCK", "query_id": "TRUCK-2" }, { "db": "scopus", "stream": "TRUCK", "query_id": "TRUCK-2" } ], "streams": [ "TRUCK" ], "relevance_signals": [ "NO_TECHNOLOGY_MATCH" ], "auto_exclude_reason": "EC-4-topic", "screening_status": "auto_excluded", "screened_by": "auto-v1.0.0" }, { "id": "doi:10.1016/j.engappai.2025.113453", "doi": "10.1016/j.engappai.2025.113453", "title": "A collaborative bi-level optimization approach for smart logistics: Depot location and unmanned aerial vehicle-based pickup-delivery services", "year": 2025, "authors": [ "Yu Zheng", "Wendong Gai", "Jing Zhang", "Maiying Zhong" ], "first_author": "Yu Zheng", "venue": "Engineering Applications of Artificial Intelligence", "volume": "165", "pages": null, "type": "article", "language": "en", "abstract": null, "keywords": [ "Benchmark (surveying)", "Cluster analysis", "Scheduling (production processes)", "Fuzzy logic", "Software deployment", "Key (lock)", "Convergence (economics)", "Routing (electronic design automation)", "Depot" ], "cited_by_openalex": 2, "cited_by_scopus": "1", "eid": "2-s2.0-105023955765", "pii": "S0952197625034840", "open_access_url": "https://doi.org/10.1016/j.engappai.2025.113453", "sources": [ { "db": "openalex", "stream": "TRUCK", "query_id": "TRUCK-2" }, { "db": "openalex", "stream": "UAV", "query_id": "UAV-2" }, { "db": "scopus", "stream": "TRUCK", "query_id": "TRUCK-2" }, { "db": "scopus", "stream": "UAV", "query_id": "UAV-2" } ], "streams": [ "TRUCK", "UAV" ], "relevance_signals": [ "UAV_NO_CTX" ], "auto_exclude_reason": "EC-4-topic", "screening_status": "auto_excluded", "screened_by": "auto-v1.0.0" }, { "id": "doi:10.1016/j.trpro.2025.10.031", "doi": "10.1016/j.trpro.2025.10.031", "title": "Evaluating Cargo Bike Delivery Applications in Urban Logistics: The Case of Zagreb", "year": 2025, "authors": [ "Leonid Ljubotina", "Marko Ševrović", "Ali Pirdavani", "Bojan Jovanović" ], "first_author": "Leonid Ljubotina", "venue": "Transportation research procedia", "volume": "91", "pages": "235-242", "type": "article", "language": "en", "abstract": "This study examines cargo bikes as a sustainable alternative for urban deliveries in Zagreb by comparing two delivery models: a conventional van-only system and a two-stage model in which cargo bikes operate from a city micro-hub. The analysis is based on GIS-based network simulations using OpenRouteService routing algorithms, integrating spatial data on 21 GLS parcel locker locations. Emissions were calculated using standard CO₂ factors for diesel vehicles, and operational time was derived by combining travel duration and estimated stop times. Results show that the two-stage model reduces CO₂ emissions by around 40% and decreases operational time by 23.5 minutes per delivery cycle. When scaled citywide, the approach could deliver substantial annual emission savings. The findings align with European and international case studies, reinforcing cargo bikes as a practical solution for low-emission urban logistics.", "keywords": [ "Duration (music)", "Routing (electronic design automation)", "Travel time", "Vehicle routing problem", "Sustainable transport", "Diesel fuel", "Urban area" ], "cited_by_openalex": 2, "cited_by_scopus": "1", "eid": "2-s2.0-105023392076", "pii": "S2352146525006921", "open_access_url": "https://doi.org/10.1016/j.trpro.2025.10.031", "sources": [ { "db": "openalex", "stream": "TRUCK", "query_id": "TRUCK-2" }, { "db": "scopus", "stream": "TRUCK", "query_id": "TRUCK-2" } ], "streams": [ "TRUCK" ], "relevance_signals": [ "NO_TECHNOLOGY_MATCH" ], "auto_exclude_reason": "EC-4-topic", "screening_status": "auto_excluded", "screened_by": "auto-v1.0.0" }, { "id": "doi:10.1016/j.retrec.2025.101693", "doi": "10.1016/j.retrec.2025.101693", "title": "Environmental and social assessment of transport and cooling systems in last-mile cold-chain vaccine distribution: A case study in Flanders, Belgium", "year": 2025, "authors": [ "Rafael Arévalo-Ascanio", "Elena Prozorova", "Annelies De Meyer", "Roel Gevaers", "Ruben Guisson", "Wouter Dewulf" ], "first_author": "Rafael Arévalo-Ascanio", "venue": "Research in Transportation Economics", "volume": null, "pages": null, "type": "article", "language": "en", "abstract": null, "keywords": [ "Cold chain", "Flemish", "Sustainability", "Distribution (mathematics)", "Water cooling", "Social cost", "Environmental impact assessment" ], "cited_by_openalex": 1, "cited_by_scopus": 0, "eid": null, "pii": null, "open_access_url": "https://doi.org/10.1016/j.retrec.2025.101693", "sources": [ { "db": "openalex", "stream": "TRUCK", "query_id": "TRUCK-2" } ], "streams": [ "TRUCK" ], "relevance_signals": [ "NO_TECHNOLOGY_MATCH" ], "auto_exclude_reason": "EC-4-topic", "screening_status": "auto_excluded", "screened_by": "auto-v1.0.0" }, { "id": "doi:10.1109/icetac65964.2025.11144275", "doi": "10.1109/icetac65964.2025.11144275", "title": "Coordinated Planning of Charging Stations and Distribution Networks with V2G Interaction and Line Capacity Margin Considerations", "year": 2025, "authors": [ "Minghan Yuan", "Kunhua Ji", "Yangyang Liu", "Song Chen", "Tu Jin", "Chunxu Li" ], "first_author": "Minghan Yuan", "venue": null, "volume": null, "pages": null, "type": "conference-paper", "language": "en", "abstract": "To address the transmission congestion problem in urban distribution networks caused by concentrated charging of large-scale electric vehicles (EVs), this paper proposes a coordinated planning method integrating charging stations and distribution networks, which incorporates vehicle-to-grid (V2G) energy storage characteristics and line capacity margins. First, a dynamic traffic network model is established to accurately simulate EV travel routes and obtain spatiotemporal distribution of charging loads based on user equilibrium assignment principle. Second, building upon EV load forecasting results, the proposed method determines optimal locations and capacities of charging stations with dual objectives of minimizing integrated costs and maximizing V2G energy storage capacity. Subsequently, a coordinated planning model considering coupling relationships between transportation and distribution networks is developed, which conducts distribution network expansion planning aiming to minimize comprehensive costs and standard deviation of grid line capacity margins. The normalized normal constraint method is employed to handle the multi-objective optimization problem across two hierarchical layers. Finally, case studies based on actual urban traffic network and a 54-node expandable distribution network demonstrate the effectiveness of the proposed methodology.", "keywords": [ "Margin (machine learning)", "Capacity planning", "Computer science", "Line (geometry)", "Mathematics" ], "cited_by_openalex": 1, "cited_by_scopus": 0, "eid": null, "pii": null, "open_access_url": "https://doi.org/10.1109/icetac65964.2025.11144275", "sources": [ { "db": "openalex", "stream": "TRUCK", "query_id": "TRUCK-2" } ], "streams": [ "TRUCK" ], "relevance_signals": [ "NO_TECHNOLOGY_MATCH" ], "auto_exclude_reason": "EC-4-topic", "screening_status": "auto_excluded", "screened_by": "auto-v1.0.0" }, { "id": "doi:10.1007/978-3-032-04225-5_20", "doi": "10.1007/978-3-032-04225-5_20", "title": "Location Optimization of Micro-depots in Urban Food Logistics", "year": 2025, "authors": [ "Hajer Dridi", "Zouhour Neji Ben Salem", "Hend Bouziri" ], "first_author": "Hajer Dridi", "venue": "Communications in computer and information science", "volume": "2651 CCIS", "pages": "309-323", "type": "conference-paper", "language": "en", "abstract": null, "keywords": [ "City logistics", "Computer science", "Transport engineering", "Engineering" ], "cited_by_openalex": 0, "cited_by_scopus": "1", "eid": "2-s2.0-105017378329", "pii": null, "open_access_url": "https://doi.org/10.1007/978-3-032-04225-5_20", "sources": [ { "db": "openalex", "stream": "TRUCK", "query_id": "TRUCK-2" }, { "db": "scopus", "stream": "TRUCK", "query_id": "TRUCK-2" } ], "streams": [ "TRUCK" ], "relevance_signals": [ "NO_TECHNOLOGY_MATCH" ], "auto_exclude_reason": "EC-4-topic", "screening_status": "auto_excluded", "screened_by": "auto-v1.0.0" }, { "id": "doi:10.1016/j.cie.2025.111423", "doi": "10.1016/j.cie.2025.111423", "title": "Value of operational flexibility in cross-docking", "year": 2025, "authors": [ "Maciek Nowak", "Shokuh Puladi" ], "first_author": "Maciek Nowak", "venue": "Computers & Industrial Engineering", "volume": "209", "pages": null, "type": "article", "language": "en", "abstract": "We study a truck scheduling problem in a cross-docking system with preemption of truck operations and multiple dock doors operated in mixed service mode. Mixed service and preemption are two operational flexibilities used within cross-docks. Mixed service indicates that dock doors can be used for both unloading and loading operations. Preemption occurs when a truck is moved from a dock in the midst of operations to allow another truck to be served. Both offer gains in efficiency, but many cross-docks operate without consideration of either. We are the first to develop a model that incorporates both, seeking to minimize the makespan of completing all operations. We utilize theoretical insights to decrease the solution space and develop two metaheuristics that take advantage of problem characteristics to more efficiently solve real-world-sized instances. These metaheuristics perform very well relative to an exact solution methodology. They are applied to show that operations require approximately 50% more time without mixed service and 30% more time without preemption.", "keywords": [ "Value (mathematics)", "Computer science", "Mathematics", "Statistics" ], "cited_by_openalex": 4, "cited_by_scopus": "1", "eid": "2-s2.0-105012360585", "pii": "S0360835225005698", "open_access_url": "https://doi.org/10.1016/j.cie.2025.111423", "sources": [ { "db": "openalex", "stream": "TRUCK", "query_id": "TRUCK-3" }, { "db": "scopus", "stream": "TRUCK", "query_id": "TRUCK-3" } ], "streams": [ "TRUCK" ], "relevance_signals": [ "TRUCK_NO_CTX" ], "auto_exclude_reason": "EC-4-topic", "screening_status": "auto_excluded", "screened_by": "auto-v1.0.0" }, { "id": "doi:10.5829/ije.2026.39.02b.16", "doi": "10.5829/ije.2026.39.02b.16", "title": "The Cost and Time Objectives Minimization in Cross-Dock Truck Scheduling of Perishable Goods Considering Uncertainty", "year": 2025, "authors": [ "S. Khodashenas", "Zeinab Abtahi", "Rashed Sahraeian" ], "first_author": "S. Khodashenas", "venue": "International Journal of Engineering", "volume": "39", "pages": "492-510", "type": "article", "language": "en", "abstract": "This study optimizes truck scheduling for transporting perishable products considering demand uncertainty. The supply chain of perishable goods is complex due to the critical importance of quality to consumers and presents significant logistical distribution challenges that must be managed effectively. The approach proposed here uses cross-docking, a popular strategy that reduces inventory levels and shortens delivery times. We develop a non-deterministic bi-objective mathematical programming model to minimize cost and time objectives. Minimizing product quality degradation is implicitly included in the cost-related objective function. The model also considers the uncertainty. Also, in the proposed model, which is defined in a multi-period environment, the types of trucks and the loading and unloading times required for each type of product are specified. Considering these parameters together distinguishes this model from existing cross-docking models. For small-sized problems, CPLEX Optimizer provides accurate solutions. For large problems, NSGA-II is used. Comparing CPLEX and NSGA-II on small problems shows no significant performance difference. CPLEX is superior in exact solutions, while NSGA-II is better at considering different alternatives in multi-objective scenarios, showing how they complement each other in optimization. Input parameters are optimized using the Taguchi method to evaluate their impact on NSGA-II. Sensitivity analysis showed that key parameters significantly affect delay and cost, contributing to 22-25% and 12-15% variations, respectively. It is worth noting that increasing product variety has the most significant impact on the total delay weight. Overall, this model increases service flexibility, reduces wasted time, improves customer satisfaction and service level, and ultimately increases profitability.", "keywords": [ "DOCK", "Truck", "Minification", "Scheduling (production processes)", "Computer science", "Operations research", "Operations management", "Business", "Engineering", "Automotive engineering", "Marine engineering" ], "cited_by_openalex": 1, "cited_by_scopus": "1", "eid": "2-s2.0-105008820325", "pii": null, "open_access_url": "https://www.ije.ir/article_217883_c6b3318c184b46339f4f208ec75a4b89.pdf", "sources": [ { "db": "openalex", "stream": "TRUCK", "query_id": "TRUCK-3" }, { "db": "scopus", "stream": "TRUCK", "query_id": "TRUCK-3" } ], "streams": [ "TRUCK" ], "relevance_signals": [ "TRUCK_NO_CTX" ], "auto_exclude_reason": "EC-4-topic", "screening_status": "auto_excluded", "screened_by": "auto-v1.0.0" }, { "id": "doi:10.3390/stats8010009", "doi": "10.3390/stats8010009", "title": "Predicting and Mitigating Delays in Cross-Dock Operations: A Data-Driven Approach", "year": 2025, "authors": [ "Amna Altaf", "Adeel Mehmood", "Adnen El Amraoui", "François Delmotte", "Christophe Lecoutre" ], "first_author": "Amna Altaf", "venue": "Stats", "volume": "8", "pages": null, "type": "article", "language": "en", "abstract": "Cross-docking operations are highly dependent on precise scheduling and timely truck arrivals to ensure streamlined logistics and minimal storage costs. Predicting potential delays in truck arrivals is essential to avoiding disruptions that can propagate throughout the cross-dock facility. This paper investigates the effectiveness of deep learning models, including Convolutional Neural Networks (CNN), Multilayer Perceptrons (MLPs), and Recurrent Neural Networks (RNNs), in predicting late arrivals of trucks. Through extensive comparative analysis, we evaluate the performance of each model in terms of prediction accuracy and applicability to real-world cross-docking requirements. The results highlight which models can most accurately predict delays, enabling proactive measures for handling deviations and improving operational efficiency. Our findings support the potential for deep learning models to enhance cross-docking reliability, ultimately contributing to optimized logistics and supply chain resilience.", "keywords": [ "DOCK", "Computer science", "Engineering", "Marine engineering" ], "cited_by_openalex": 1, "cited_by_scopus": "1", "eid": "2-s2.0-105001147167", "pii": null, "open_access_url": "https://www.mdpi.com/2571-905X/8/1/9/pdf?version=1737381255", "sources": [ { "db": "openalex", "stream": "TRUCK", "query_id": "TRUCK-3" }, { "db": "scopus", "stream": "TRUCK", "query_id": "TRUCK-3" } ], "streams": [ "TRUCK" ], "relevance_signals": [ "TRUCK_NO_CTX" ], "auto_exclude_reason": "EC-4-topic", "screening_status": "auto_excluded", "screened_by": "auto-v1.0.0" }, { "id": "doi:10.1007/s12351-025-00968-4", "doi": "10.1007/s12351-025-00968-4", "title": "Robust cross-dock assignment problem with fuzzy chance constrained optimization approach", "year": 2025, "authors": [ "Amna Altaf", "Adnen El Amraoui", "François Delmotte", "Christophe Lecoutre" ], "first_author": "Amna Altaf", "venue": "Operational Research", "volume": "25", "pages": null, "type": "article", "language": "en", "abstract": null, "keywords": [ "Fuzzy logic", "Robust optimization", "Computational intelligence", "Constraint (computer-aided design)", "Assignment problem", "Fuzzy number", "Optimization problem" ], "cited_by_openalex": 1, "cited_by_scopus": "1", "eid": "2-s2.0-105019507012", "pii": null, "open_access_url": "https://doi.org/10.1007/s12351-025-00968-4", "sources": [ { "db": "openalex", "stream": "TRUCK", "query_id": "TRUCK-3" }, { "db": "scopus", "stream": "TRUCK", "query_id": "TRUCK-3" } ], "streams": [ "TRUCK" ], "relevance_signals": [ "NO_TECHNOLOGY_MATCH" ], "auto_exclude_reason": "EC-4-topic", "screening_status": "auto_excluded", "screened_by": "auto-v1.0.0" }, { "id": "doi:10.33042/2522-1809-2025-1-189-475-481", "doi": "10.33042/2522-1809-2025-1-189-475-481", "title": "DETERMINING THE NUMBER OF VEHICLES FOR CROSS-DOCKING IN CONDI-TIONS OF UNCERTAINTY AND LIMITED RESOURCES", "year": 2025, "authors": [ "O. Kalinichenko", "Viktoriia Sevidova" ], "first_author": "O. Kalinichenko", "venue": "Municipal economy of cities", "volume": null, "pages": null, "type": "article", "language": "en", "abstract": "The article analyzes the existing methods of building cargo handling technologies in warehouses using cross-docking technology. The chosen topic is quite relevant, since the use of cross-docking technology is one of the most promising areas for improving the efficiency of international cargo transportation. The article presents a methodology for determining the optimal number of vehicles required for efficient cross-docking operations under conditions of uncertainty and limited resources. The proposed approach takes into account the key parameters of logistics processes, including the dynamics of incoming and outgoing cargo flows, restrictions on the capacity of logistics hubs, variability of transportation demand and possible delays in delivery. The proposed methodology is based on the use of mathematical optimization models that minimize the operating costs of truck maintenance and reduce the risks of penalties in case of violation of contractual terms and conditions regarding the timing and quality of logistics operations. The study considers various scenarios of loading and unloading processes, taking into account the uneven distribution of cargo flows, limited warehouse and transshipment capacities, possible disruptions in delivery schedules, and other uncertain factors. Effective cross-docking operations require perfect coordination of incoming and outgoing flows on logistics platforms. This is because cross-docking involves minimizing the time for cargo handling without long-term storage, which requires clear synchronization between all participants in the logistics process - suppliers, carriers, customs authorities and recipients of goods. The factors that determine the conditions of uncertainty in the organization of cross-docking in international transportation are outlined. The obtained results can be used to improve the efficiency of logistics systems, optimize the use of the vehicle fleet, reduce operating costs and improve the overall quality of service in the field of international transportation. The proposed methodology is useful for logistics operators, transport companies, and analysts involved in transportation management and the development of strategies to improve logistics processes in the context of cross-docking.", "keywords": [ "Docking (animal)", "Computer science", "Medicine" ], "cited_by_openalex": 1, "cited_by_scopus": 0, "eid": null, "pii": null, "open_access_url": "https://khg.kname.edu.ua/index.php/khg/article/download/6505/6425", "sources": [ { "db": "openalex", "stream": "TRUCK", "query_id": "TRUCK-3" } ], "streams": [ "TRUCK" ], "relevance_signals": [ "TRUCK" ], "auto_exclude_reason": null, "screening_status": "pending_human_screening", "screened_by": "auto-v1.0.0" }, { "id": "doi:10.3390/math13152537", "doi": "10.3390/math13152537", "title": "Coordinated Truck Loading and Routing Problem: A Forestry Logistics Case Study", "year": 2025, "authors": [ "Cristian Oliva San Martín", "Manuel Cepeda", "Sebastián Muñoz-Herrera" ], "first_author": "Cristian Oliva San Martín", "venue": "Mathematics", "volume": "13", "pages": null, "type": "article", "language": "en", "abstract": "This study addresses a real-world logistics problem in forestry operations: the distribution of plants from cultivation centers to planting sites under strict delivery time windows and limited depot resources. We introduce the Coordinated Truck Loading and Routing Problem (CTLRP), an extension of the classical Vehicle Routing Problem with Time Windows (VRPTW) that integrates routing decisions with truck loading schedules at a single depot with constrained capacity. To solve this NP-hard problem, we develop a metaheuristic algorithm based on Ant Colony Optimization (ACO), enhanced with a global memory system and a novel stochastic return rule that allows trucks to return to the depot when additional deliveries are suboptimal. Parameter calibration experiments are conducted to determine optimal values for the return probability and ant population size. The algorithm is tested on a real forestry dispatch scenario over six working days. The results show that an Ant Colony System (ACS–CTLRP) algorithm reduces total distance traveled by 23%, travel time by 22%, and the number of trucks used by 13 units, while increasing fleet utilization from 54% to 83%. These findings demonstrate that the proposed method significantly outperforms current company planning and offers a transferable framework for depot-constrained routing problems in time-sensitive distribution environments.", "keywords": [ "Truck", "Vehicle routing problem", "Ant colony optimization algorithms", "Routing (electronic design automation)", "Computer science", "Metaheuristic", "Ant colony", "Operations research", "Mathematical optimization", "Population", "Transport engineering", "Engineering" ], "cited_by_openalex": 1, "cited_by_scopus": "1", "eid": "2-s2.0-105013350549", "pii": null, "open_access_url": "https://www.mdpi.com/2227-7390/13/15/2537/pdf?version=1754566603", "sources": [ { "db": "openalex", "stream": "TRUCK", "query_id": "TRUCK-3" }, { "db": "scopus", "stream": "TRUCK", "query_id": "TRUCK-3" } ], "streams": [ "TRUCK" ], "relevance_signals": [ "TRUCK_NO_CTX" ], "auto_exclude_reason": "EC-4-topic", "screening_status": "auto_excluded", "screened_by": "auto-v1.0.0" }, { "id": "doi:10.1142/s2301385026500457", "doi": "10.1142/s2301385026500457", "title": "Memetic Optimization of Collaborative Human-UAV-Truck Search-and-Rescue Task Scheduling in Earthquakes", "year": 2025, "authors": [ "Kang-Cong Lv", "Zhi-Yuan Zhang", "Lin-Yuan Bai", "Xunlin Jiang", "Yu‐Jun Zheng" ], "first_author": "Kang-Cong Lv", "venue": "Unmanned Systems", "volume": null, "pages": null, "type": "article", "language": "en", "abstract": "Unmanned aerial vehicles (UAVs) have become increasingly used in search and rescue tasks in disasters. However, there are many tasks that cannot be completed solely by UAVs; instead, they should be completed by cooperation of UAVs and human rescuers. Moreover, as battery capacity is a major limiting factor in UAV operations, using ground vehicles (trucks) to provide mobile battery swapping services is an efficient approach. To this end, this paper studies a problem of collaborative human-UAV-truck search-and-rescue task scheduling in earthquakes, where UAVs are used to quickly search for survivors who are expected to be ultimately rescued by human rescuers, while a truck serves as a mobile battery depot for UAVs, such that the survivors can be rescued as many as possible and as early as possible. To solve the problem, we propose a memetic algorithm that combines the ecogeography-based optimization metaheuristic for global exploration, adaptive local search for improving solution accuracy, and a Gaussian binary simulated annealing method for truck path planning. Numerical experiments on a set of real-world problem instances demonstrate the effectiveness and efficiency of the proposed method.", "keywords": [ "Memetic algorithm", "Scheduling (production processes)", "Truck", "Computer science", "Job shop scheduling", "Task (project management)", "Search and rescue", "Engineering", "Artificial intelligence", "Operations management", "Aerospace engineering", "Local search (optimization)" ], "cited_by_openalex": 1, "cited_by_scopus": "1", "eid": "2-s2.0-105009220258", "pii": null, "open_access_url": "https://doi.org/10.1142/s2301385026500457", "sources": [ { "db": "openalex", "stream": "TRUCK", "query_id": "TRUCK-3" }, { "db": "scopus", "stream": "TRUCK", "query_id": "TRUCK-3" } ], "streams": [ "TRUCK" ], "relevance_signals": [ "UAV_NO_CTX", "TRUCK_NO_CTX" ], "auto_exclude_reason": "EC-4-topic", "screening_status": "auto_excluded", "screened_by": "auto-v1.0.0" }, { "id": "doi:10.2139/ssrn.5162825", "doi": "10.2139/ssrn.5162825", "title": "Low-Carbon Routing and Charging Planning for Electric Freight Trucks Utilizing Local Surplus Solar Power", "year": 2025, "authors": [ "Ryoji Miyabe", "Yu Fujimoto", "Yasuhiro Hayashi" ], "first_author": "Ryoji Miyabe", "venue": "SSRN Electronic Journal", "volume": null, "pages": null, "type": "preprint", "language": "en", "abstract": null, "keywords": [ "Truck", "Automotive engineering", "Business", "Electric vehicle", "Transport engineering", "Environmental science", "Power (physics)", "Engineering" ], "cited_by_openalex": 1, "cited_by_scopus": 0, "eid": null, "pii": null, "open_access_url": "https://doi.org/10.2139/ssrn.5162825", "sources": [ { "db": "openalex", "stream": "TRUCK", "query_id": "TRUCK-3" } ], "streams": [ "TRUCK" ], "relevance_signals": [ "TRUCK_NO_CTX" ], "auto_exclude_reason": "EC-4-topic", "screening_status": "auto_excluded", "screened_by": "auto-v1.0.0" }, { "id": "doi:10.4271/2025-01-8592", "doi": "10.4271/2025-01-8592", "title": "Energy Price Sensitivity and Cost Analysis of Battery Electric and Fuel Cell Powertrains for Class 8 Heavy-Duty Trucks in Real-World Scenarios: A 2024, 2035, and 2050 Perspective", "year": 2025, "authors": [ "Charbel Mansour", "Julien Bou Gebrael", "Amarendra Kancharla", "Vincent Freyermuth", "Ehsan Sabri Islam", "Ram Vijayagopal", "Olcay Sahin", "Natalia Zuniga", "Daniela Nieto Prada", "Michel Alhajjar", "Aymeric P. Rousseau", "Hoseinali Borhan", "Ouafae El Ganaoui-Mourlan" ], "first_author": "Charbel Mansour", "venue": "SAE technical papers on CD-ROM/SAE technical paper series", "volume": null, "pages": null, "type": "conference-paper", "language": "en", "abstract": "This study evaluates the performance of alternative powertrains for Class 8 heavy-duty trucks under various real-world driving conditions, cargo loads, and operating ranges. Energy consumption, greenhouse gas emissions, and the Levelized Cost of Driving (LCOD) were assessed for different powertrain technologies in 2024, 2035, and 2050, considering anticipated technological advancements. The analysis employed simulation models that accurately reflect vehicle dynamics, powertrain components, and energy storage systems, leveraging real-world driving data. An integrated simulation workflow was implemented using Argonne National Laboratory's POLARIS, SVTrip, Autonomie, and TechScape software. Additionally, a sensitivity analysis was performed to assess how fluctuations in energy and fuel costs impact the cost-effectiveness of various powertrain options. By 2035, battery electric trucks (BEVs) demonstrate strong cost competitiveness in the 0-250 mile and 250-500 mile ranges, especially when primarily charged at depots. Fuel cell electric vehicles (FCEVs) remain competitive in the 250-500-mile range, particularly under higher diesel prices. For distances over 500 miles, FCEVs become the preferred solution, providing greater range and operational flexibility. By 2050, technological advancements and reduced truck costs further enhance the feasibility of both BEVs and FCEVs. The BEV500 shows improved efficiency and resilience to energy price fluctuations, making it viable for medium-range operations and cost-effective even with high en-route electricity rates. FCEVs are expected to remain competitive in both medium and long-range operations, especially when diesel prices are elevated, positioning them as strong alternatives to conventional powertrains for long-haul routes.", "keywords": [ "Powertrain", "Truck", "Heavy duty", "Battery (electricity)", "Automotive engineering", "Sensitivity (control systems)", "Fuel cells", "Perspective (graphical)", "Environmental science", "Computer science", "Engineering" ], "cited_by_openalex": 1, "cited_by_scopus": "1", "eid": "2-s2.0-105008188720", "pii": null, "open_access_url": "https://doi.org/10.4271/2025-01-8592", "sources": [ { "db": "openalex", "stream": "TRUCK", "query_id": "TRUCK-3" }, { "db": "scopus", "stream": "TRUCK", "query_id": "TRUCK-3" } ], "streams": [ "TRUCK" ], "relevance_signals": [ "TRUCK_NO_CTX" ], "auto_exclude_reason": "EC-4-topic", "screening_status": "auto_excluded", "screened_by": "auto-v1.0.0" }, { "id": "doi:10.1016/j.trc.2025.105277", "doi": "10.1016/j.trc.2025.105277", "title": "Electric versus diesel: Green supply chain network design with carbon footprint labeling", "year": 2025, "authors": [ "Ensieh Ghaedyheidary", "Samir Elhedhli" ], "first_author": "Ensieh Ghaedyheidary", "venue": "Transportation Research Part C Emerging Technologies", "volume": "179", "pages": null, "type": "article", "language": "en", "abstract": "Transportation electrification and carbon footprint labeling are strong indicators of environmental commitment in green supply chains. We study this framework and assess its environmental and financial sustainability. We consider cradle-to-gate operations, from manufacturing to retail, mandate the use of electric trucks whenever their range allows, and impose a cap on product carbon footprints as would be advertised on a carbon label. We optimize the locations of distribution centers, the allocation of demand, and the transportation choices between diesel trucks and electric trucks. We account for the nonlinear relationship between emissions and payload for diesel trucks, focus on two representative functional forms- concave and convex- and propose a mixed-integer nonlinear optimization model to minimize costs and CO2-equivalent emissions. We use Lagrangean relaxation to decompose the model by echelon and isolate the convex and concave nonlinearity in an easy-to-solve subproblem. We then design a Lagrangean heuristic based on the solution of one of the subproblems, which has proven efficient and near-optimal. Based on a case study, we evaluate the impact of the emission function and the carbon label on the supply chain network, as well as the trade-off between the use of diesel trucks and electric trucks. We find that the relationship between emissions and payload for diesel trucks significantly influences the adoption of electric trucks. When concave, as would be the case for steady driving conditions, long hauls, well-maintained infrastructure, and light traffic, conventional diesel trucks continue to be the cost-efficient option, especially when electric truck mileage costs are high and the cap on unit emissions is elevated. In contrast, when diesel emissions are convex, corresponding to challenging driving conditions such as urban delivery, congested road networks, stop-and-go traffic, and degraded road infrastructure, transportation emissions dominate total emissions, diesel truck usage decreases, and electric trucks become a better choice even if the cap on unit emissions is high and diesel trucks are cheaper to operate. Furthermore, extending the range of electric trucks increases their usage under convex emissions but not under concave emissions, especially when the cap on carbon footprint is not tight.", "keywords": [ "Carbon footprint", "Diesel fuel", "Footprint", "Supply chain", "Automotive engineering", "Engineering", "Environmental science", "Transport engineering", "Environmental engineering", "Business", "Greenhouse gas", "Geography" ], "cited_by_openalex": 2, "cited_by_scopus": "1", "eid": "2-s2.0-105011961188", "pii": "S0968090X25002815", "open_access_url": "https://doi.org/10.1016/j.trc.2025.105277", "sources": [ { "db": "openalex", "stream": "TRUCK", "query_id": "TRUCK-3" }, { "db": "scopus", "stream": "TRUCK", "query_id": "TRUCK-3" } ], "streams": [ "TRUCK" ], "relevance_signals": [ "TRUCK" ], "auto_exclude_reason": null, "screening_status": "pending_human_screening", "screened_by": "auto-v1.0.0" }, { "id": "doi:10.1080/23302674.2025.2596365", "doi": "10.1080/23302674.2025.2596365", "title": "Optimization of truck scheduling in cross-docking for perishables using Particle Swarm Optimization (PSO) with dual-mode doors", "year": 2025, "authors": [ "Ali Akbar Jafari", "Mobina Mousapour Mamoudan", "Paria Nourmohammadi", "Peiman Ghasemi", "Amir Aghsami" ], "first_author": "Ali Akbar Jafari", "venue": "International Journal of Systems Science Operations & Logistics", "volume": "13", "pages": null, "type": "article", "language": "en", "abstract": "This study proposes a mathematical model for scheduling docking operations in a cold-chain environment, developed for a major Iranian producer of perishable goods. The model aims to minimize total operational cost by simultaneously addressing three components: (1) loading and unloading costs, determined by dock assignment and service times; (2) storage costs from holding products in cold chambers; and (3) spoilage costs caused by prolonged exposure to ambient conditions. It integrates operational constraints such as truck arrival and departure times, dock availability, cross-docking flows, spatial distances between zones, vehicle–product compatibility, and product-specific shelf-life. The nonlinear, combinatorial problem is solved using Particle Swarm Optimization (PSO) and compared with two alternative metaheuristics: Genetic Algorithm (GA) and Grasshopper Optimization Algorithm (GOA). Results indicate significant efficiency gains: average truck turnaround time was reduced, with loading/unloading durations cut from 3.2 to 2.4 hours; spoilage costs fell by nearly 19%; storage costs declined from 34% to 27% of total costs; and total operational cost dropped by 15.6% compared to GA and 11.3% compared to GOA. These outcomes highlight the model’s capability to enhance cost-efficiency, minimize spoilage, and improve time management in cross-docking operations for perishable goods.", "keywords": [ "Truck", "Doors", "Particle swarm optimization", "Total cost", "Scheduling (production processes)", "Operational costs", "Genetic algorithm", "Turnaround time" ], "cited_by_openalex": 0, "cited_by_scopus": "1", "eid": "2-s2.0-105025422311", "pii": null, "open_access_url": "https://doi.org/10.1080/23302674.2025.2596365", "sources": [ { "db": "openalex", "stream": "TRUCK", "query_id": "TRUCK-3" }, { "db": "scopus", "stream": "TRUCK", "query_id": "TRUCK-3" } ], "streams": [ "TRUCK" ], "relevance_signals": [ "TRUCK_NO_CTX" ], "auto_exclude_reason": "EC-4-topic", "screening_status": "auto_excluded", "screened_by": "auto-v1.0.0" }, { "id": "doi:10.1016/j.energy.2025.139441", "doi": "10.1016/j.energy.2025.139441", "title": "Cost-optimization of battery electric heavy duty vehicles from Nordic perspective: Comparative cost-analysis of two separate charging solutions", "year": 2025, "authors": [ "Esa Tuviala", "Altti Meriläinen", "Teemu Hiltunen", "Tuomo Lindh", "Pertti Kauranen", "Jero Ahola" ], "first_author": "Esa Tuviala", "venue": "Energy", "volume": "341", "pages": null, "type": "article", "language": "en", "abstract": "Road freight transportation causes 8 % of total greenhouse gas emissions globally. Therefore there is great potential to reduce the global greenhouse gas emissions by adopting low-emission alternative propulsion methods. Economic feasibility of these alternative propulsion methods can accelerate this shift. This study presents a multi-layer optimization tool to model and cost-optimize charging methods for battery electric trucks (BETs). Two scenarios are analyzed: (1) depot charging and (2) en route charging. The tool simulates heavy-duty vehicle (HDV) movement and calculates energy consumption based on gross vehicle weight (GVW). Cost-optimization includes charging station location, number of chargers, charger rated power and battery capacity. Electricity spot market prices and diesel prices in Finland from 2020 to 2024 are used to evaluate energy costs. This simulation tool is used to examine a case study set in southeastern Finland where four HDVs transport goods between Hamina and Joutseno (125 km apart). These HDVs are considered to depart with full payload having GVW of 68 000 kg and return with empty payload having GVW of 24 000 kg Both charging methods can achieve lower Levelized cost of Driving (LCOD) compared to using a diesel equivalent. The results show that depot charging achieves slightly lower LCOD compared to en route charging due to lower requirements for the infrastructure. However, when the results are compared to battery swapping BETs, it can be seen that battery swapping allows lower dimensioning of charging station and utilization of lower electricity spot market prices, resulting in lower infrastructure and energy costs.", "keywords": [ "Truck", "Battery (electricity)", "Greenhouse gas", "Diesel fuel", "Charging station", "Electricity", "Dimensioning", "Heavy duty", "Payload (computing)", "Electrification" ], "cited_by_openalex": 2, "cited_by_scopus": "1", "eid": "2-s2.0-105023825074", "pii": "S0360544225050832", "open_access_url": "https://doi.org/10.1016/j.energy.2025.139441", "sources": [ { "db": "openalex", "stream": "TRUCK", "query_id": "TRUCK-3" }, { "db": "scopus", "stream": "TRUCK", "query_id": "TRUCK-3" } ], "streams": [ "TRUCK" ], "relevance_signals": [ "TRUCK_NO_CTX" ], "auto_exclude_reason": "EC-4-topic", "screening_status": "auto_excluded", "screened_by": "auto-v1.0.0" }, { "id": "doi:10.26650/jtl.2025.1609155", "doi": "10.26650/jtl.2025.1609155", "title": "Two-Echelon Location Selection and Unmanned Aerial Vehicle Assisted Vehicle Routing Problem", "year": 2025, "authors": [ "Tolga Gedikli", "İsmail Karaoğlan" ], "first_author": "Tolga Gedikli", "venue": "Journal of Transportation and Logistics", "volume": null, "pages": null, "type": "article", "language": "en", "abstract": "In recent years, the potential use of Unmanned Aerial Vehicle (UAV) technology in logistics processes and the rapid developments in this field have made UAV-assisted routing problems an important research topic. In this paper, we consider a two-echelon location selection and UAV-assisted vehicle routing problem. In this problem, trucks leave from the main depot with their packages and UAVs, move through potential service points (mobile depot), and return to the main depot. At each mobile depot, UAVs are launched from the truck to service the customers, and the trucks wait for the UAVs to complete their service and return. The UAVs are capable of making multiple trips between the mobile depot and customers, carrying only one package at a time. The objective is to minimize the maximum tour time. In this paper, a new problem, which involves a multi-truck structure and multiple launches of UAVs from a mobile depot, is investigated for the first time to the best of our knowledge in the literature. A mixed integer linear programming model is proposed to solve the problem. In order to evaluate the performance of the proposed mathematical model, the number of trucks is determined as one and two, experimental analyses are performed and the results are reported in detail.", "keywords": [ "Vehicle routing problem", "Selection (genetic algorithm)", "Computer science", "Routing (electronic design automation)", "Operations research", "Aeronautics", "Artificial intelligence", "Engineering", "Computer network" ], "cited_by_openalex": 1, "cited_by_scopus": 0, "eid": null, "pii": null, "open_access_url": "https://doi.org/10.26650/jtl.2025.1609155", "sources": [ { "db": "openalex", "stream": "TRUCK", "query_id": "TRUCK-3" }, { "db": "openalex", "stream": "UAV", "query_id": "UAV-2" } ], "streams": [ "TRUCK", "UAV" ], "relevance_signals": [ "UAV_NO_CTX", "TRUCK_NO_CTX" ], "auto_exclude_reason": "EC-4-topic", "screening_status": "auto_excluded", "screened_by": "auto-v1.0.0" }, { "id": "doi:10.3390/wevj16120668", "doi": "10.3390/wevj16120668", "title": "Assessing the Economic Viability and Reliability of Advanced Truck Powertrains: A California Freight Case Study", "year": 2025, "authors": [ "Charbel Mansour", "Amarendra Kancharla", "Julien Bou Gebrael", "Michel Alhajjar", "Olcay Sahin", "Natalia Zuniga-Garcia", "Hoseinali Borhan", "Sylvain Pagerit", "Vincent Freyermuth" ], "first_author": "Charbel Mansour", "venue": "World Electric Vehicle Journal", "volume": "16", "pages": null, "type": "article", "language": "en", "abstract": "Heavy-duty trucking is central to the U.S. economy, and improving its long-term sustainability requires cost-effective, energy-efficient, and reliable operations. Emerging technologies—advanced powertrains, batteries, and alternative fuels—offer potential solutions, but their economic and operational viability remains uncertain. This study evaluates the performance of Class 8 battery electric (BEV), plug-in hybrid (PHEV), fuel cell electric (FCEV), and diesel trucks in terms of energy use and the levelized cost of driving (LCOD) to determine when these technologies become competitive without compromising operational reliability. The analysis explores how evolving fuel prices and vehicle technology improvements in 2023, 2035, and 2050 influence the cost competitiveness of each powertrain. By comparing the results at both the technology level and the fleet level, the study demonstrates that powertrains that appear cost-effective on individual routes may not always scale to fleet-wide viability, and vice versa. The analysis is based on real-world data from over 15,700 Class 8 truck trips recorded in California in 2022, capturing diverse driving scenarios, payload conditions, and operational constraints. The results show that BEV250 can deliver cost-effective performance in short-haul operations (0–250 miles) under depot electricity prices below USD 0.34/kWh and maintain this advantage through 2050 as battery costs decline. In the 250–500-mile segment, the technology-level analysis indicates that BEV500 often achieves the lowest LCOD on individual tours, particularly under low electricity prices, while the fleet-level results show that FCEVs provide a more consistent cost performance across all tours, especially when the route variability is high. For long-haul operations (>500 miles), where BEVs are assumed to operate without en-route charging, FCEVs emerge as the most cost-effective non-diesel option by 2050, provided hydrogen prices fall below USD 6/kg. PHEVs show a limited long-term competitiveness and are mainly viable under transitional fuel price conditions. Overall, the findings underscore that there is no one-size-fits-all solution. Powertrain adoption must be range-aware, infrastructure-sensitive, and fleet-structured. By integrating technology-level and fleet-level perspectives, this study provides actionable insights for fleet operators, policymakers, and industry stakeholders seeking to balance cost, reliability, and sustainability in heavy-duty freight.", "keywords": [ "Truck", "Powertrain", "Electricity", "Battery (electricity)", "Reliability (semiconductor)", "Sustainability", "Payload (computing)", "Total cost of ownership", "Cost of electricity by source", "Haulage" ], "cited_by_openalex": 0, "cited_by_scopus": "1", "eid": "2-s2.0-105025913870", "pii": null, "open_access_url": "https://www.mdpi.com/2032-6653/16/12/668/pdf?version=1765450739", "sources": [ { "db": "openalex", "stream": "TRUCK", "query_id": "TRUCK-3" }, { "db": "scopus", "stream": "TRUCK", "query_id": "TRUCK-3" } ], "streams": [ "TRUCK" ], "relevance_signals": [ "TRUCK_NO_CTX" ], "auto_exclude_reason": "EC-4-topic", "screening_status": "auto_excluded", "screened_by": "auto-v1.0.0" }, { "id": "doi:10.1016/j.tre.2025.104318", "doi": "10.1016/j.tre.2025.104318", "title": "Efficient active–passive vehicle coordination in multimodal transportation networks", "year": 2025, "authors": [ "Peter J. Eder", "Simon Ramoser", "Sarah Braun", "Stefan Weltge" ], "first_author": "Peter J. Eder", "venue": "Transportation Research Part E Logistics and Transportation Review", "volume": "203", "pages": null, "type": "article", "language": "en", "abstract": "This work examines a complex routing problem involving passive, modular vehicle containers (pods) in conjunction with mobile platforms like trains, trucks, and boats. These are deployed as part of a door-to-door, demand-responsive transportation service designed to fulfill customer requests. The novel approach aims to optimize customer satisfaction while minimizing operator costs, offering significant improvements over traditional public transport systems. The main challenge lies in the need to synchronize active and passive vehicles, creating strong interdependencies between individual routes. To tackle this, we present a mixed-integer linear program and solve the problem using an adaptive large neighborhood search heuristic. Since a real-life scenario requires rapid solutions, a clustering approach is introduced to speed up the heuristic. We validate the efficiency of our method through an extensive numerical study on novel benchmark sets of varying sizes. Furthermore, we generate realistic instances by replicating Munich’s Zone M metro network and demonstrate that, beyond the improved customer comfort enabled by the modular approach, the multimodal Ansatz reduces customer arrival times by approximately 17% and base travel times by 21% compared to a unimodal baseline.", "keywords": [ "Computer science", "Transport engineering", "Multimodal transport", "Engineering" ], "cited_by_openalex": 1, "cited_by_scopus": "1", "eid": "2-s2.0-105012569309", "pii": "S136655452500359X", "open_access_url": "https://doi.org/10.1016/j.tre.2025.104318", "sources": [ { "db": "openalex", "stream": "TRUCK", "query_id": "TRUCK-3" }, { "db": "scopus", "stream": "TRUCK", "query_id": "TRUCK-3" } ], "streams": [ "TRUCK" ], "relevance_signals": [ "TRUCK_NO_CTX" ], "auto_exclude_reason": "EC-4-topic", "screening_status": "auto_excluded", "screened_by": "auto-v1.0.0" }, { "id": "doi:10.4271/2025-01-8787", "doi": "10.4271/2025-01-8787", "title": "Energy Savings and Range Extension from Aerodynamic Improvements of Emerging Zero-Emission Heavy Vehicle Concepts", "year": 2025, "authors": [ "Brian McAuliffe", "Faegheh Ghorbanishohrat" ], "first_author": "Brian McAuliffe", "venue": "SAE International Journal of Advances and Current Practices in Mobility", "volume": null, "pages": null, "type": "article", "language": "en", "abstract": "An energy-use analysis is presented to examine the potential energy-savings and range-extension benefits of aerodynamic improvements to tractors and trailers used in commercial transportation. The impetus for the study was the observation of aerodynamically-redesigned/optimized tractor shapes of emerging zero-emission commercial vehicles that have the potential for significant drag reduction over conventional aerodynamic tractors. Using wind-tunnel test results, a series of aerodynamic performance models were developed representing a range of tractor and trailer combinations. From modern day-cab and sleeper-cab tractors to aerodynamically-optimized zero-emission cab concepts, paired with standard dry-van trailers or low-drag trailer concepts, the study examines the energy use, and potential savings thereof, from implementing various fleet configurations for different operational duty cycles. An energy-use analysis was implemented to estimate the energy-rate contributions associated with inertial accelerations, grade forces, rolling resistances, and aerodynamic-drag forces for three types of duty cycles: Long Haul, Regional Haul, and Urban Delivery. A duty-cycle-simulation approach was implemented using speed-dependent wind-averaged-drag models, adapted for local wind-speed magnitudes representative of each duty-cycle environment. This method was validated for the long-haul cycle against a constant-speed wind-climate-simulation approach applied to a fleet-transportation network. Results demonstrate that Urban Delivery operations expend a smaller magnitude, and smaller relative proportion, of energy use to overcome aerodynamic drag, but that significant savings are nonetheless possible for these operations with aerodynamic improvements to the trucks. Over the range of tractor- and trailer-aerodynamic improvements examined, the analyses reveal the potential for 4-27% energy-rate savings and 5-37% range extension for the Long Haul cycle, 3-16% energy-rate savings and 3-18% range extension for the Regional Haul cycle, and with 2-9% energy-rate savings and 2-10% range extension estimated for the Urban Delivery Cycle. Although results show significant reductions in energy use associated with emerging zero-emission-tractor shapes, trailer-aerodynamic improvements are shown to have about twice the potential for energy savings and range reduction than do tractor-aerodynamic improvements.", "keywords": [ "Aerodynamics", "Extension (predicate logic)", "Range (aeronautics)", "Zero emission", "Aerospace engineering", "Automotive engineering", "Zero (linguistics)", "Energy (signal processing)", "Computer science", "Environmental science", "Physics", "Engineering" ], "cited_by_openalex": 1, "cited_by_scopus": "1", "eid": "2-s2.0-105008199762", "pii": null, "open_access_url": "https://saemobilus.sae.org/downloads/articles/2025-01-8787/Full%20Text%20PDF", "sources": [ { "db": "openalex", "stream": "TRUCK", "query_id": "TRUCK-3" }, { "db": "scopus", "stream": "TRUCK", "query_id": "TRUCK-3" } ], "streams": [ "TRUCK" ], "relevance_signals": [ "TRUCK" ], "auto_exclude_reason": null, "screening_status": "pending_human_screening", "screened_by": "auto-v1.0.0" }, { "id": "doi:10.3390/en18236333", "doi": "10.3390/en18236333", "title": "Multi-Physical Modeling and Design of a Hydraulic Compression System for Hydrogen Refueling of Heavy-Duty Vehicles", "year": 2025, "authors": [ "Andrea Fornaciari", "Matteo Bertoli", "Barbara Zardin", "Marco Rizzoli", "Éric Noppe", "Massimo Borghi", "Frédéric Barth", "Pavel Kučera", "Peter Kloft", "Francis Eynard", "Louis Butstraen", "Remi Marthelot", "Emmanuel Sauger" ], "first_author": "Andrea Fornaciari", "venue": "Energies", "volume": "18", "pages": null, "type": "article", "language": "en", "abstract": "Heavy-duty vehicles cause a significant percentage of the harmful gas emissions from the automotive industry. This article presents the development of a compression system for hydrogen as part of the H2REF-DEMO hydrogen refueling station, joining the European efforts to promote hydrogen (H2) as a fuel that can play a key role in the energy transition of these types of vehicles. The H2REF-DEMO project, co-funded by the European Union’s “Horizon. Europe” programme under the “Clean Hydrogen Partnership” (grant agreement no. 101101517), involves a partnership between companies and research centers that aims to investigate the possibility of compressing hydrogen through hydraulic power to handle large vehicle refueling applications, such as bus fleet depots, trucks, or trains. The basic principle is the exploitation of hydraulic power to compress hydrogen through hydro-pneumatic bladder accumulators. The hydraulic power units, in fact, pump oil into the accumulators, causing a deformation of the bladder containing H2 and thus a consequent gas compression. In this article, we focus on the development of the compression system, from the theoretical starting point to the core final layout of the refueling station for large vehicles. We also exploit a lumped parameter numerical model to both support the system design and virtually test its first control logic. The latter, in particular, allows the system to operate in three modes—Bypass, Parallel, and Serial modes—thus leaving room for testing basic and more complex control strategies. The results of numerical simulations demonstrate the effectiveness of this innovative compression technology and its considerable efficiency in terms of refueling time and energy consumption, especially when compared to the standard systems used for this application. These are thus encouraging results that can support the development of an actual H2REF-DEMO hydraulic test rig for hydrogen compression.", "keywords": [ "Hydrogen vehicle", "Automotive industry", "Power (physics)", "Hydraulic machinery", "Hydrogen", "Compression (physics)", "Fossil fuel", "Hydraulic fluid", "Deformation (meteorology)" ], "cited_by_openalex": 2, "cited_by_scopus": "1", "eid": "2-s2.0-105024534262", "pii": null, "open_access_url": "https://doi.org/10.3390/en18236333", "sources": [ { "db": "openalex", "stream": "TRUCK", "query_id": "TRUCK-3" }, { "db": "scopus", "stream": "TRUCK", "query_id": "TRUCK-3" } ], "streams": [ "TRUCK" ], "relevance_signals": [ "TRUCK_NO_CTX" ], "auto_exclude_reason": "EC-4-topic", "screening_status": "auto_excluded", "screened_by": "auto-v1.0.0" }, { "id": "doi:10.1016/j.fuel.2025.137773", "doi": "10.1016/j.fuel.2025.137773", "title": "Deflagration characterization parameters and pollutant emission characteristics of PO-Gasoline blends", "year": 2025, "authors": [ "Qi Jing", "Yuhan Wu", "Yuntao Li", "Laibin Zhang" ], "first_author": "Qi Jing", "venue": "Fuel", "volume": "409", "pages": null, "type": "article", "language": "en", "abstract": null, "keywords": [ "Gasoline", "Overpressure", "Ignition system", "Combustion", "Deflagration", "Pollutant", "Volume (thermodynamics)", "Work (physics)", "Autoignition temperature" ], "cited_by_openalex": 1, "cited_by_scopus": "1", "eid": "2-s2.0-105023681036", "pii": "S0016236125034994", "open_access_url": "https://doi.org/10.1016/j.fuel.2025.137773", "sources": [ { "db": "openalex", "stream": "TRUCK", "query_id": "TRUCK-3" }, { "db": "scopus", "stream": "TRUCK", "query_id": "TRUCK-3" } ], "streams": [ "TRUCK" ], "relevance_signals": [ "NO_TECHNOLOGY_MATCH" ], "auto_exclude_reason": "EC-4-topic", "screening_status": "auto_excluded", "screened_by": "auto-v1.0.0" }, { "id": "doi:10.3390/s25051605", "doi": "10.3390/s25051605", "title": "Task Planning of Multiple Unmanned Aerial Vehicles Based on Minimum Cost and Maximum Flow", "year": 2025, "authors": [ "Xiaodong Shi", "Xiangping Zhai", "Rui Wang", "Yi Le", "Shuang Fu", "Ningzhong Liu" ], "first_author": "Xiaodong Shi", "venue": "Sensors", "volume": "25", "pages": null, "type": "article", "language": "en", "abstract": "With the rapid development of UAV technology, UAV delivery has gained attention for its potential to reduce labor costs. However, limitations in load capacity and energy restrict UAVs' distribution capabilities. This paper proposes a cooperative delivery scheme combining traditional trucks and UAVs to extend UAV coverage and improve delivery completion rates. For densely distributed depots in wide-area regions, we develop algorithms for task allocation and path planning in a truck-independent UAV system. Specifically, a minimum-cost, maximum-flow model is constructed to obtain sub-paths covering all delivery tasks, and resource tree-based algorithms are used to construct global paths for UAVs and trucks. Simulation results show that our algorithms reduce total energy consumption by 11.53% and 9.15% under different task points, which suggests that our proposed method can significantly enhance delivery efficiency, offering a promising solution for future logistics operations.", "keywords": [ "Truck", "Task (project management)", "Computer science", "Energy consumption", "Motion planning", "Resource consumption", "Tree (set theory)", "Real-time computing", "Resource distribution", "Path (computing)", "Resource allocation", "Resource (disambiguation)" ], "cited_by_openalex": 0, "cited_by_scopus": "1", "eid": "2-s2.0-86000651940", "pii": null, "open_access_url": "https://doi.org/10.3390/s25051605", "sources": [ { "db": "openalex", "stream": "TRUCK", "query_id": "TRUCK-3" }, { "db": "scopus", "stream": "TRUCK", "query_id": "TRUCK-3" }, { "db": "scopus", "stream": "UAV", "query_id": "UAV-2" } ], "streams": [ "TRUCK", "UAV" ], "relevance_signals": [ "UAV_NO_CTX", "TRUCK_NO_CTX" ], "auto_exclude_reason": "EC-4-topic", "screening_status": "auto_excluded", "screened_by": "auto-v1.0.0" }, { "id": "doi:10.5370/kiee.2025.74.5.761", "doi": "10.5370/kiee.2025.74.5.761", "title": "Optimization of Electric Bus Charging and Discharging Schedules with Vehicle-to-Grid Technology", "year": 2025, "authors": [ "Mingyu Kang", "Donguk Min", "Bosung Lee", "Younsoo Lee" ], "first_author": "Mingyu Kang", "venue": "The Transactions of The Korean Institute of Electrical Engineers", "volume": "74", "pages": "761-774", "type": "article", "language": "en", "abstract": "As electric vehicles are recognized for their potential to mitigate greenhouse gas emissions, their adoption has expanded beyond passenger cars to include commercial vehicles such as buses and trucks. Among these, electric buses are notable for their contribution to improving air quality in densely populated urban areas. However, the widespread deployment of electric buses and their associated charging infrastructure has introduced challenges in optimizing power grid stability and managing limited charging resources. Vehicle-to-Grid (V2G) technology, enabling bidirectional energy transfer between vehicles and the grid, has emerged as a promising solution. In this paper, we address a charging and discharging scheduling problem for an electric bus depot equipped with V2G technology. We propose a mixed integer linear programming model which optimizes charging and discharging schedules to achieve two objectives: maximizing net discharging during peak demand hours and minimizing overall operation costs. A hierarchical approach is employed to deal with the two objective functions. To enhance computational efficiency for large-scale instances, a heuristic algorithm based on the optimization model is also proposed. Computational experiments were conducted to demonstrate the advantages of the proposed optimization model and algorithm. The results indicate the potential of V2G technology to not only stabilize the power grid but also provide economic benefits to depot operators.", "keywords": [ "Automotive engineering", "Electric vehicle", "Grid", "Electrical engineering", "Computer science", "Engineering", "Mathematics", "Physics" ], "cited_by_openalex": 0, "cited_by_scopus": "1", "eid": "2-s2.0-105006603756", "pii": null, "open_access_url": "https://doi.org/10.5370/kiee.2025.74.5.761", "sources": [ { "db": "openalex", "stream": "TRUCK", "query_id": "TRUCK-3" }, { "db": "scopus", "stream": "TRUCK", "query_id": "TRUCK-3" } ], "streams": [ "TRUCK" ], "relevance_signals": [ "TRUCK_NO_CTX" ], "auto_exclude_reason": "EC-4-topic", "screening_status": "auto_excluded", "screened_by": "auto-v1.0.0" }, { "id": "doi:10.4018/979-8-3373-3643-5.ch012", "doi": "10.4018/979-8-3373-3643-5.ch012", "title": "Drones and UAVs for Rapid Emergency Relief and Last-Mile Delivery", "year": 2025, "authors": [ "Nazim Atluyev" ], "first_author": "Nazim Atluyev", "venue": "Advances in computational intelligence and robotics book series", "volume": null, "pages": "303-316", "type": "book-chapter", "language": "en", "abstract": "This chapter explores the transformative role of Unmanned Aerial Vehicles (UAVs), commonly known as drones, in enhancing emergency relief logistics and last-mile delivery performance. As supply chains face increasing disruption from natural disasters, pandemics, and urban congestion, UAVs offer rapid, flexible, and contactless delivery solutions that improve reach, resilience, and sustainability. The chapter provides a comprehensive review of technological foundations, real-world applications, and strategic innovations, including digital twin systems, IoT integration, and AI-based optimization. Drawing on recent academic and operational literature, it critically examines key challenges such as regulatory constraints, technical limitations, and organizational barriers. The findings emphasize the need for harmonized policy frameworks, infrastructure readiness, and ethical design to support scalable and sustainable drone integration into future logistics systems.", "keywords": [ "Drone", "Mile", "Last mile (transportation)", "Aeronautics", "Medical emergency", "Geography", "Engineering", "Medicine", "Geodesy", "Biology" ], "cited_by_openalex": 1, "cited_by_scopus": "1", "eid": "2-s2.0-105019015822", "pii": null, "open_access_url": "https://doi.org/10.4018/979-8-3373-3643-5.ch012", "sources": [ { "db": "openalex", "stream": "UAV", "query_id": "UAV-1" }, { "db": "scopus", "stream": "UAV", "query_id": "UAV-1" } ], "streams": [ "UAV" ], "relevance_signals": [ "UAV" ], "auto_exclude_reason": null, "screening_status": "pending_human_screening", "screened_by": "auto-v1.0.0" }, { "id": "doi:10.3390/math13132143", "doi": "10.3390/math13132143", "title": "PSL-IoD: PUF-Based Secure Last-Mile Drone Delivery in Supply Chain Management", "year": 2025, "authors": [ "Mohammad D. Alahmadi", "Ahmed Alzahrani", "Azeem Irshad", "Shehzad Ashraf Chaudhry" ], "first_author": "Mohammad D. Alahmadi", "venue": "Mathematics", "volume": "13", "pages": null, "type": "article", "language": "en", "abstract": "The conventional supply chain management has undergone major advancements following IoT-enabled revolution. The IoT-enabled drones in particular have ignited much recent attention for package delivery in logistics. The service delivery paradigm in logistics has seen a surge in drone-assisted package deliveries and tracking. There have been a lot of recent research proposals on various aspects of last-mile delivery systems for drones in particular. Although drones have largely changed the logistics landscape, there are many concerns regarding security and privacy posed to drones due to their open and vulnerable nature. The security and privacy of involved stakeholders needs to be preserved across the whole chain of Supply Chain Management (SCM) till delivery. Many earlier studies addressed this concern, however with efficiency limitations. We propose a Physical Uncloneable Function (PUF)-based secure authentication protocol (PSL-IoD) using symmetric key operations for reliable last-mile drone delivery in SCM. PSL-IoD ensures mutual authenticity, forward secrecy, and privacy for the stakeholders. Moreover, it is protected from machine learning attacks and drone-related physical capture threats due to embedded PUF installations along with secure design of the protocol. The PSL-IoD is formally analyzed through rigorous security assessments based on the Real-or-Random (RoR) model. The PSL-IoD supports 26.71% of enhanced security traits compared to other comparative studies. The performance evaluation metrics exhibit convincing findings in terms of efficient computation and communication along with enhanced security features, making it viable for practical implementations.", "keywords": [ "Drone", "Mile", "Last mile (transportation)", "Computer security", "Computer science", "Business", "Geography", "Biology" ], "cited_by_openalex": 1, "cited_by_scopus": "1", "eid": "2-s2.0-105010308258", "pii": null, "open_access_url": "https://www.mdpi.com/2227-7390/13/13/2143/pdf?version=1751290984", "sources": [ { "db": "openalex", "stream": "UAV", "query_id": "UAV-1" }, { "db": "scopus", "stream": "UAV", "query_id": "UAV-1" } ], "streams": [ "UAV" ], "relevance_signals": [ "UAV" ], "auto_exclude_reason": null, "screening_status": "pending_human_screening", "screened_by": "auto-v1.0.0" }, { "id": "doi:10.2139/ssrn.5388681", "doi": "10.2139/ssrn.5388681", "title": "Optimal Cruise Speeds and Environmental Impacts on Energy use of Unmanned Aerial Vehicles for Last-Mile Delivery", "year": 2025, "authors": [ "SungHyuk Choi" ], "first_author": "SungHyuk Choi", "venue": "SSRN Electronic Journal", "volume": null, "pages": null, "type": "preprint", "language": "en", "abstract": null, "keywords": [ "Mile", "Cruise", "Last mile (transportation)", "Aeronautics", "Environmental science", "Energy (signal processing)", "Marine engineering", "Transport engineering", "Engineering", "Geography", "Aerospace engineering", "Geodesy" ], "cited_by_openalex": 1, "cited_by_scopus": 0, "eid": null, "pii": null, "open_access_url": "https://doi.org/10.2139/ssrn.5388681", "sources": [ { "db": "openalex", "stream": "UAV", "query_id": "UAV-1" } ], "streams": [ "UAV" ], "relevance_signals": [ "UAV" ], "auto_exclude_reason": null, "screening_status": "pending_human_screening", "screened_by": "auto-v1.0.0" }, { "id": "doi:10.1177/22779752251329395", "doi": "10.1177/22779752251329395", "title": "A Systematic Review and Morphological Analysis of the Literature on Last Mile Delivery Using Drones: Quo Vadis?", "year": 2025, "authors": [ "G Rohit", "Ramesh Krishnan", "P. N. Ram Kumar" ], "first_author": "G Rohit", "venue": "IIM Kozhikode Society & Management Review", "volume": null, "pages": null, "type": "review", "language": "en", "abstract": "With the evolution of technology, drones hold immense potential to address the last mile delivery challenges in e-commerce. However, a holistic and systematic literature review of all the studies and an understanding of the interrelationships between the different dimensions of drone-based last mile delivery, such as customer expectations, stakeholders and desired outcomes, is lacking in the literature. To address this gap, we conducted a systematic literature review and analysed the literature on drone-based last mile delivery using a morphological analysis approach to develop a conceptual framework with seven dimensions and 37 variants. The dimensions identified are customer expectations, distribution mode, inventory planning, returns handling, geographical scope, stakeholders and desired outcomes. The Variance Intersection Matrix revealed 176 research gaps that future researchers can explore. This study also helps managers and policymakers visualize the different dimensions of drone-based last mile delivery and their interrelationships, which will help accelerate the adoption of drones in delivery fleets.", "keywords": [ "Mile", "Drone", "Status quo", "Business", "Political science", "Computer science", "Geography", "Law" ], "cited_by_openalex": 1, "cited_by_scopus": "1", "eid": "2-s2.0-105003131245", "pii": null, "open_access_url": "https://doi.org/10.1177/22779752251329395", "sources": [ { "db": "openalex", "stream": "UAV", "query_id": "UAV-1" }, { "db": "openalex", "stream": "UAV", "query_id": "UAV-2" }, { "db": "scopus", "stream": "UAV", "query_id": "UAV-1" }, { "db": "scopus", "stream": "UAV", "query_id": "UAV-2" } ], "streams": [ "UAV" ], "relevance_signals": [ "UAV" ], "auto_exclude_reason": null, "screening_status": "pending_human_screening", "screened_by": "auto-v1.0.0" }, { "id": "doi:10.16980/jitc.21.3.202506.197", "doi": "10.16980/jitc.21.3.202506.197", "title": "The Impact of Safety Factors on the Intention to Use Drone-Based UAM Last-Mile Delivery: Focusing on the TAM Model", "year": 2025, "authors": [ "Eunbin Kim" ], "first_author": "Eunbin Kim", "venue": "Korea International Trade Research Institute", "volume": null, "pages": null, "type": "article", "language": "en", "abstract": "Purpose - This study investigates how safety factors influence user intention to adopt drone-based Urban Air Mobility (UAM) for last-mile delivery, utilizing the Technology Acceptance Model (TAM). As UAM emerges as a promising solution to urban logistics challenges, perceived safety plays a critical role in shaping user acceptance. Design/Methodology/Approach - Focusing on the three safety dimensions of product safety, personal safety, and social safety, the study conducted a structured survey and applied structural equation modeling (SEM) to examine the relationships among safety factors, perceived usefulness, perceived ease of use, and behavioral intention. Findings - The analysis revealed that product safety and social safety had significant positive effects on perceived usefulness, while product safety also influenced perceived ease of use. Both perceived usefulness and perceived ease of use were strong predictors of intention to use. However, safety factors did not show statistically significant direct effects on usage intention, highlighting the mediating role of TAM constructs. Research Implications - The findings offer practical implications for policymakers and industry stakeholders aiming to promote UAM-based logistics services. Enhancing technical safety features and social infrastructure is essential to increase user acceptance by improving perceptions of usefulness and ease of use, particularly in the early stages of UAM deployment.", "keywords": [ "Drone", "Mile", "Last mile (transportation)", "Business", "Aeronautics", "Advertising", "Engineering", "Geography" ], "cited_by_openalex": 1, "cited_by_scopus": 0, "eid": null, "pii": null, "open_access_url": "https://doi.org/10.16980/jitc.21.3.202506.197", "sources": [ { "db": "openalex", "stream": "UAV", "query_id": "UAV-1" } ], "streams": [ "UAV" ], "relevance_signals": [ "UAV" ], "auto_exclude_reason": null, "screening_status": "pending_human_screening", "screened_by": "auto-v1.0.0" }, { "id": "doi:10.3390/drones10010007", "doi": "10.3390/drones10010007", "title": "A Hybrid Strategy-Assisted Cooperative Vehicles–Drone Multi-Objective Routing Optimization Method for Last-Mile Delivery", "year": 2025, "authors": [ "Mingyuan Yang", "Bing Xue", "Rui Zhang", "Fuwang Dong" ], "first_author": "Mingyuan Yang", "venue": "Drones", "volume": "10", "pages": null, "type": "article", "language": "en", "abstract": "Drones have emerged as critical infrastructure for enhancing logistics efficiency in the emerging low-altitude economy, particularly in collaborative vehicle–drone research. However, existing research often neglects the impact of fair task allocation on workload balance among formations in large-scale routing scenarios, which compromises service quality. To address this gap, we introduce the Multi-vehicle with drones Collaborative Routing Problem with Large-scale Packages (MCRPLP), formulated as a bi-objective model aiming to minimize both operational cost and workload imbalance. A Hybrid Strategy-assisted Multi-objective Optimization Algorithm (HSMOA) is developed to overcome the limitations of existing methods, which struggle with balancing solution quality and computational efficiency in solving large-scale routing. Based on a Non-dominated Sorting Genetic Algorithm (NSGA-II), the HSMOA integrates a heuristic task assignment strategy that greedily reassigns packages between adjacent clusters. Then, by integrating a Pareto-front superiority evaluation model, an elite individual supplement strategy is designed to dynamically prune sub-optimal solution subspaces while enhancing the search within high-quality Pareto-front subspaces in HSMOA. Extensive experiments demonstrate the effectiveness of HSMOA in terms of solution quality and computational efficiency compared to multiple state-of-the-art methods. Further sensitivity analysis and managerial insights derived from a real-world case are also provided to support practical logistics implementation.", "keywords": [ "Sorting", "Workload", "Task (project management)", "Genetic algorithm", "Routing (electronic design automation)", "Multi-objective optimization", "Heuristic", "Vehicle routing problem" ], "cited_by_openalex": 1, "cited_by_scopus": "1", "eid": "2-s2.0-105028504246", "pii": null, "open_access_url": "https://doi.org/10.3390/drones10010007", "sources": [ { "db": "openalex", "stream": "UAV", "query_id": "UAV-1" }, { "db": "openalex", "stream": "UAV", "query_id": "UAV-2" }, { "db": "scopus", "stream": "UAV", "query_id": "UAV-1" }, { "db": "scopus", "stream": "UAV", "query_id": "UAV-2" } ], "streams": [ "UAV" ], "relevance_signals": [ "UAV" ], "auto_exclude_reason": null, "screening_status": "pending_human_screening", "screened_by": "auto-v1.0.0" }, { "id": "doi:10.1109/ojits.2025.3638659", "doi": "10.1109/ojits.2025.3638659", "title": "Multi-Modal Last-Mile Delivery Optimization With Smart Micro-Hubs: A Branch-and-Price Approach With Valid Inequalities", "year": 2025, "authors": [ "Kassem Danach", "Ali Raad", "Abbass Nasser" ], "first_author": "Kassem Danach", "venue": "IEEE Open Journal of Intelligent Transportation Systems", "volume": "6", "pages": "1596-1611", "type": "article", "language": "en", "abstract": "The rapid growth of e-commerce and urban logistics has intensified the challenges associated with last-mile delivery, necessitating the integration of autonomous delivery vehicles (ADVs), drones, and smart micro-hubs for cost-effective and sustainable operations. This study introduces a novel Multi-Depot Capacitated Vehicle Routing Problem with Time Windows and Multi-Modal Transportation (MD-CVRPTW-MM), where deliveries are dynamically assigned to either ADVs or drones while optimizing hub locations and vehicle routing. The objective is to minimize total operational costs, including transportation, hub activation, and delivery mode selection, while ensuring service-level constraints such as time windows and capacity limits. To efficiently solve this complex combinatorial problem, we propose a mathematical formulation enhanced with valid inequalities for computational efficiency. Furthermore, a Branch-and-Price algorithm is developed, where column generation is employed to iteratively refine delivery routes while enforcing depot assignments and mode selection constraints. The solution approach integrates dual stabilization techniques and path-based heuristics to accelerate convergence. Experimental evaluations on benchmark datasets and real-world logistics scenarios demonstrate the effectiveness of the proposed method in reducing last-mile delivery costs, optimizing fleet utilization, and enhancing service reliability. The results highlight the significance of multi-modal last-mile delivery optimization in improving urban logistics and sustainability. This research contributes a new mathematical model, efficient optimization techniques, and practical insights for intelligent last-mile delivery planning in smart cities.", "keywords": [ "Vehicle routing problem", "Heuristics", "Benchmark (surveying)", "Column generation", "Optimization problem", "Routing (electronic design automation)", "Dual (grammatical number)", "Service (business)" ], "cited_by_openalex": 2, "cited_by_scopus": "1", "eid": "2-s2.0-105024104265", "pii": null, "open_access_url": "https://doi.org/10.1109/ojits.2025.3638659", "sources": [ { "db": "openalex", "stream": "UAV", "query_id": "UAV-1" }, { "db": "openalex", "stream": "UAV", "query_id": "UAV-2" }, { "db": "scopus", "stream": "UAV", "query_id": "UAV-1" }, { "db": "scopus", "stream": "UAV", "query_id": "UAV-2" } ], "streams": [ "UAV" ], "relevance_signals": [ "UAV" ], "auto_exclude_reason": null, "screening_status": "pending_human_screening", "screened_by": "auto-v1.0.0" }, { "id": "doi:10.1109/dcoss-iot65416.2025.00101", "doi": "10.1109/dcoss-iot65416.2025.00101", "title": "Integrated Planning of Infrastructure and Drone Delivery Operations with Multiple Cycles", "year": 2025, "authors": [ "Carlos A. F. Teodoro", "Cristiano M. Silva", "Fernanda Sumika Hojo de Souza" ], "first_author": "Carlos A. F. Teodoro", "venue": "Proceedings 2025 21st International Conference on Distributed Computing in Smart Systems and the Internet of Things Dcoss Iot 2025", "volume": null, "pages": "641-648", "type": "conference-paper", "language": "en", "abstract": "Using aerial deliveries by drones has been considered a promising option, given the growing demand for last-mile deliveries or emergency scenarios. This work proposes an optimization model for infrastructure planning and drone deliveries in multiple operating cycles. The optimization problem under study aims to determine the location of facilities and the allocation of demand from customers served using drones with payload and range capabilities over a set of periods. Each period represents an operating cycle of the drones, which can have their batteries recharged between cycles. The objective is to minimize the energy consumption of the drones while meeting the maximum coverage of the customers' demand, subject to operational feasibility in an urban scenario. The results demonstrated that the multi-period model could provide up to 29% wider demand coverage than the single-period model. The analysis of the number of customers being served showed that an additional up to 36% benefited from the introduction of multiple periods, indicating that lower-priority customers are more likely to be served. In cases where both models achieve full customer coverage, the multi-period model provided lower energy consumption of drones due to its planning flexibility. The contributions of this work indicate that it is possible to propose optimized logistics solutions that are more appropriate for the smart city scenario.", "keywords": [ "Drone", "Computer science", "Systems engineering", "Engineering" ], "cited_by_openalex": 1, "cited_by_scopus": "1", "eid": "2-s2.0-105013851197", "pii": null, "open_access_url": "https://doi.org/10.1109/dcoss-iot65416.2025.00101", "sources": [ { "db": "openalex", "stream": "UAV", "query_id": "UAV-1" }, { "db": "openalex", "stream": "UAV", "query_id": "UAV-3" }, { "db": "scopus", "stream": "UAV", "query_id": "UAV-1" }, { "db": "scopus", "stream": "UAV", "query_id": "UAV-3" } ], "streams": [ "UAV" ], "relevance_signals": [ "UAV" ], "auto_exclude_reason": null, "screening_status": "pending_human_screening", "screened_by": "auto-v1.0.0" }, { "id": "doi:10.1109/access.2025.3597781", "doi": "10.1109/access.2025.3597781", "title": "Genetic Algorithms for a Scheduling Problem of Parcel Delivery and Pickup by Drones", "year": 2025, "authors": [ "Yohei Hazama", "Hitoshi Iima", "Yoshiyuki Karuno" ], "first_author": "Yohei Hazama", "venue": "IEEE Access", "volume": "13", "pages": "142221-142236", "type": "article", "language": "en", "abstract": "Recent studies have been conducted actively on scheduling in a parcel delivery system using a truck and drones to deliver parcels more effectively. In logistics, it is necessary to provide not only delivery service but also pickup service, and drones can be used for the pickup service. This paper extends our previous delivery system to a new one handling both delivery and pickup and then formulates a scheduling problem for the new system. A challenge in this problem is to consider how to appropriately select one of three options: whether a drone only delivers a parcel, only picks up, or both delivers and picks up. This paper proposes two methods based on a genetic algorithm (GA) introducing procedures to select an appropriate option for solving the problem. The first method uses a maximum weight matching procedure before executing a GA, and the procedure is applied to a bipartite graph of customers whose parcels are delivered and customers whose parcels are picked up. The second uses a greedy pairing procedure to reduce drone flight time in evaluating each individual of a GA. Experimental results show that the two proposed methods can successfully find good feasible solutions. The second method can often find better solutions but consumes longer computation time than the first.", "keywords": [ "Pickup", "Drone", "Computer science", "Genetic algorithm", "Scheduling (production processes)", "Job shop scheduling", "Algorithm", "Mathematical optimization", "Artificial intelligence", "Embedded system", "Mathematics", "Machine learning" ], "cited_by_openalex": 1, "cited_by_scopus": "1", "eid": "2-s2.0-105013365510", "pii": null, "open_access_url": "https://doi.org/10.1109/access.2025.3597781", "sources": [ { "db": "openalex", "stream": "UAV", "query_id": "UAV-1" }, { "db": "scopus", "stream": "UAV", "query_id": "UAV-1" } ], "streams": [ "UAV" ], "relevance_signals": [ "UAV", "TRUCK" ], "auto_exclude_reason": null, "screening_status": "pending_human_screening", "screened_by": "auto-v1.0.0" }, { "id": "doi:10.61782/fa.2025.0609", "doi": "10.61782/fa.2025.0609", "title": "Noise impact of drone parcel delivery scenario over Madrid", "year": 2025, "authors": [ "Ingrid Legriffon", "Elise Ruaud", "Jovana G. Kuljanin", "Emir Ganić" ], "first_author": "Ingrid Legriffon", "venue": null, "volume": null, "pages": null, "type": "conference-paper", "language": "en", "abstract": "To effectively integrate drones into densely populated urban infrastructures, it is crucial to assess their impact on the population's quality of life and mitigate any adverse effects.As noise pollution from drone overflights is a top concern, enhancing our numerical capabilities for predicting VTOL aircraft noise in urban environments is essential.To achieve this goal, we have developed an integrated toolchain comprising three key components: Flight Mechanics, to accurately model aircraft behavior; Noise Emission at the Source: to quantify the noise generated by the drones and finally Urban Environment Noise Propagation using the open-source tool NoiseModelling.This comprehensive toolchain enables the creation of detailed noise maps for specific drone scenario definitions.This paper presents an application of our toolchain in a parcel delivery scenario, featuring DJI Matrice 600 drones operating over a 10 km² sector of Madrid in Spain within a day period, incorporating five distribution centers with varying hourly capacities.The results include a range of informative noise indicators, taking into account noise level, number of flyovers and background noise levels.", "keywords": [ "Drone", "Noise (video)", "Aircraft noise", "Noise pollution" ], "cited_by_openalex": 1, "cited_by_scopus": 0, "eid": null, "pii": null, "open_access_url": "https://dael.euracoustics.org/confs/fa2025/data/articles/000609.pdf", "sources": [ { "db": "openalex", "stream": "UAV", "query_id": "UAV-1" } ], "streams": [ "UAV" ], "relevance_signals": [ "UAV" ], "auto_exclude_reason": null, "screening_status": "pending_human_screening", "screened_by": "auto-v1.0.0" }, { "id": "doi:10.1109/logistiqua66323.2025.11122674", "doi": "10.1109/logistiqua66323.2025.11122674", "title": "Urban Last-Mile Delivery: Environmental Challenges and Expertise - A Comprehensive Literature Revie", "year": 2025, "authors": [ "Jihad Mkhalfi", "Fouad Jawab", "Abderrahman El Mhamedi", "Imane Moufad" ], "first_author": "Jihad Mkhalfi", "venue": "International Conference on Logistics Logistiqua", "volume": null, "pages": null, "type": "conference-paper", "language": "en", "abstract": "In this review, we examine the environmental challenges of urban last-mile delivery and explore sustainable solutions. We analyze studies from 2015 to 2025 using a systematic approach based on the PRISMA methodology, ensuring a rigorous and reproducible selection of relevant academic works. Additionally, we conduct a bibliometric analysis with VOSviewer, allowing us to identify key research trends and gaps in the field. Our study focuses on alternative delivery solutions such as electric vehicles, drones, cargo bikes, and smart lockers, as well as innovative technologies like AI-based route optimization and crowdshipping. While these solutions show great potential in reducing emissions and improving efficiency, large-scale adoption remains hindered by regulatory barriers, infrastructure limitations, and high costs. By combining PRISMA and VOSviewer, this review provides a comprehensive mapping of the field, offering valuable insights for policymakers and logistics providers while emphasizing the need for collaborative efforts to support greener and more sustainable delivery models.", "keywords": [ "Mile", "Last mile (transportation)", "Computer science", "Architectural engineering", "Engineering", "Geography" ], "cited_by_openalex": 1, "cited_by_scopus": "1", "eid": "2-s2.0-105030546807", "pii": null, "open_access_url": "https://doi.org/10.1109/logistiqua66323.2025.11122674", "sources": [ { "db": "openalex", "stream": "UAV", "query_id": "UAV-1" }, { "db": "scopus", "stream": "UAV", "query_id": "UAV-1" } ], "streams": [ "UAV" ], "relevance_signals": [ "UAV" ], "auto_exclude_reason": null, "screening_status": "pending_human_screening", "screened_by": "auto-v1.0.0" }, { "id": "doi:10.36713/epra23176", "doi": "10.36713/epra23176", "title": "A STUDY ON CHALLENGES FACED BY LAST MILE DELIVERY SERVICE PROVIDERS WITH A FOCUS ON INNOVATION", "year": 2025, "authors": [ "P.V. Yaswanth Reddy", "Dr Jahnavi" ], "first_author": "P.V. Yaswanth Reddy", "venue": "EPRA International Journal of Multidisciplinary Research (IJMR)", "volume": null, "pages": null, "type": "article", "language": "en", "abstract": "The rapid expansion of e-commerce and shifts in consumer preferences have significantly increased the need for effective last-mile delivery solutions. This paper explores the obstacles that last-mile delivery service providers encounter while highlighting innovative strategies to overcome them. The study identifies major challenges, including elevated costs, inefficient routing, sustainability issues, and rising customer demands. It analyzes the role of emerging technologies such as automation, AI-powered logistics, and alternative delivery methods like drones and autonomous vehicles. Furthermore, it discusses approaches for optimizing delivery routes, improving workforce management, and ensuring scalability in diverse environments. This research offers practical recommendations for boosting delivery efficiency, minimizing costs, and meeting customer expectations, thereby contributing to advancements in logistics and delivery systems. Keywords: : Last-Mile Delivery, Challenges, Innovation, Logistics, Automation, Route Optimization, Customer Satisfaction, Efficiency.", "keywords": [ "Business", "Focus (optics)", "Service provider", "Service delivery framework", "Mile", "Last mile (transportation)", "Service (business)", "Marketing", "Public relations", "Political science", "Geography" ], "cited_by_openalex": 1, "cited_by_scopus": 0, "eid": null, "pii": null, "open_access_url": "https://doi.org/10.36713/epra23176", "sources": [ { "db": "openalex", "stream": "UAV", "query_id": "UAV-1" } ], "streams": [ "UAV" ], "relevance_signals": [ "UAV" ], "auto_exclude_reason": null, "screening_status": "pending_human_screening", "screened_by": "auto-v1.0.0" }, { "id": "doi:10.2139/ssrn.5447074", "doi": "10.2139/ssrn.5447074", "title": "Adoption Barriers in the Last-Mile Ecosystem: Robotic Delivery vs. Electrified Modes", "year": 2025, "authors": [ "Tho V. Le", "Yuchen Du", "Abel Kebede Reda", "Hoang T. Hua", "Trang Huong Pham", "Long T. Truong" ], "first_author": "Tho V. Le", "venue": "SSRN Electronic Journal", "volume": null, "pages": null, "type": "preprint", "language": "en", "abstract": null, "keywords": [ "Corporate governance", "Autonomy", "Automation", "Emerging technologies", "Information technology", "Space (punctuation)", "Perception" ], "cited_by_openalex": 1, "cited_by_scopus": 0, "eid": null, "pii": null, "open_access_url": "https://doi.org/10.2139/ssrn.5447074", "sources": [ { "db": "openalex", "stream": "UAV", "query_id": "UAV-1" } ], "streams": [ "UAV" ], "relevance_signals": [ "NO_TECHNOLOGY_MATCH" ], "auto_exclude_reason": "EC-4-topic", "screening_status": "auto_excluded", "screened_by": "auto-v1.0.0" }, { "id": "doi:10.4271/2025-01-7144", "doi": "10.4271/2025-01-7144", "title": "Regulatory and Policy Framework for Urban Drone Logistics Systems", "year": 2025, "authors": [ "Jie Ma", "Junjie Yang", "Weile Diao", "Yan‐Jun Du", "Weiqi Chen" ], "first_author": "Jie Ma", "venue": "SAE technical papers on CD-ROM/SAE technical paper series", "volume": null, "pages": null, "type": "conference-paper", "language": "en", "abstract": "The swift and relentless progression of drone technology has ushered in novel opportunities within the realm of urban logistics, especially for the potential of drones to modify last-mile delivery and improve customer fulfillment through mobile application integration, offering the potential for delivery systems that are both efficient and environmentally sustainable. This development is not just a technological leap but a transformative shift in how goods are moved within urban spaces, potentially reducing traffic congestion and emissions from traditional vehicles. Nevertheless, the safety issues of drone flights in cities are becoming increasingly serious, and the accountability related to drone accidents is not clear, raising concerns in society regarding the use and safety of drones. Therefore, to fully utilize the potential of drones in urban logistics, the incorporation of drones into the urban airspace environment necessitates the establishment of a strong regulatory and policy framework, one that is capable of addressing a multitude of concerns, including safety, security, environmental impact, and social equity. This particular research paper undertakes a detailed examination of the existing regulatory landscape that pertains to urban drone logistics systems. It aims to pinpoint the primary challenges that are currently faced in this domain, and subsequently proposes a comprehensive policy framework designed to facilitate the effective implementation of urban drone logistics. To achieve a thorough understanding of the subject matter, this study meticulously reviews and analyzes more than 30 scholarly articles, industry reports, and policy documents, synthesizing the insights gained to provide a well-rounded perspective and policy framework suggestions on the topic.", "keywords": [ "Drone", "Business", "Computer science", "Computer security", "Risk analysis (engineering)" ], "cited_by_openalex": 2, "cited_by_scopus": "1", "eid": "2-s2.0-105002684569", "pii": null, "open_access_url": "https://doi.org/10.4271/2025-01-7144", "sources": [ { "db": "openalex", "stream": "UAV", "query_id": "UAV-1" }, { "db": "scopus", "stream": "UAV", "query_id": "UAV-1" } ], "streams": [ "UAV" ], "relevance_signals": [ "UAV" ], "auto_exclude_reason": null, "screening_status": "pending_human_screening", "screened_by": "auto-v1.0.0" }, { "id": "doi:10.1007/978-3-031-78241-1_24", "doi": "10.1007/978-3-031-78241-1_24", "title": "Optimal Charging Station Deployment for Drone-Assisted Delivery", "year": 2025, "authors": [ "Irene Izco", "Adrián Serrano-Hernández", "Javier Faulín" ], "first_author": "Irene Izco", "venue": "Lecture notes in computer science", "volume": "14779 LNCS", "pages": "260-268", "type": "conference-paper", "language": "en", "abstract": null, "keywords": [ "Software deployment", "Drone", "Computer science", "Aeronautics", "Real-time computing", "Simulation", "Operating system", "Engineering" ], "cited_by_openalex": 1, "cited_by_scopus": "1", "eid": "2-s2.0-85219199952", "pii": null, "open_access_url": "https://academica-e.unavarra.es/bitstreams/93f6ec9f-07ff-4af8-b212-ebe81f133472/download", "sources": [ { "db": "openalex", "stream": "UAV", "query_id": "UAV-1" }, { "db": "openalex", "stream": "UAV", "query_id": "UAV-3" }, { "db": "scopus", "stream": "UAV", "query_id": "UAV-1" }, { "db": "scopus", "stream": "UAV", "query_id": "UAV-3" } ], "streams": [ "UAV" ], "relevance_signals": [ "UAV_NO_CTX" ], "auto_exclude_reason": "EC-4-topic", "screening_status": "auto_excluded", "screened_by": "auto-v1.0.0" }, { "id": "doi:10.3724/sp.j.1249.2025.02205", "doi": "10.3724/sp.j.1249.2025.02205", "title": "Multi-objective optimization of truck-drone joint delivery with restricted areas", "year": 2025, "authors": [ "Yuchen Li", "Haibo Mu Haibo Mu", "Meng YUAN", "Huo Chai" ], "first_author": "Yuchen Li", "venue": "JOURNAL OF SHENZHEN UNIVERSITY SCIENCE AND ENGINEERING", "volume": "42", "pages": "205-215", "type": "article", "language": "en", "abstract": "Aiming at the problems of \"last mile\" cost, low customer value, and poor logistics due to regional restrictions, a truck-drone joint delivery model is proposed, which takes customer value and customer satisfaction as measurement factors under regional restrictions, in which drones can visit multiple customers in one flight. Combined with the constraints such as customer time window, unmanned aerial vehicle (UAV) load and endurance limit, vehicle load, etc., a multi-objective truck-drone joint distribution route optimization mathematical model is established to minimize cost, maximize customer value and customer satisfaction. According to the characteristics of the model, an improved non-dominated sorting genetic algorithm III (NSGA-III) is designed to solve the model, and the effectiveness of the algorithm and model is verified by using large, medium and small calculation models selected from the classical Sioux-Falls traffic network and Eastern-Massachusetts road network. The results show that considering customer value and customer satisfaction increases the cost by about 6.95%, but customer value and customer satisfaction increase significantly by 37.52% and 13.1%, respectively. This is very beneficial for enterprises to maintain quality customers and improve customer loyalty, and helps enterprises achieve sustainable development.", "keywords": [ "Drone", "Truck", "Joint (building)", "Computer science", "Aeronautics", "Engineering", "Automotive engineering", "Biology", "Structural engineering", "Genetics" ], "cited_by_openalex": 1, "cited_by_scopus": "1", "eid": "2-s2.0-105001047445", "pii": null, "open_access_url": "https://www.sciengine.com/doi/pdf/E68E19217C63402484C074A927499621", "sources": [ { "db": "openalex", "stream": "UAV", "query_id": "UAV-1" }, { "db": "scopus", "stream": "UAV", "query_id": "UAV-1" }, { "db": "scopus", "stream": "UAV", "query_id": "UAV-2" } ], "streams": [ "UAV" ], "relevance_signals": [ "UAV", "TRUCK" ], "auto_exclude_reason": null, "screening_status": "pending_human_screening", "screened_by": "auto-v1.0.0" }, { "id": "doi:10.3390/app152111469", "doi": "10.3390/app152111469", "title": "Drone–Rider Joint Delivery Routing with Arc Obstacle Avoidance", "year": 2025, "authors": [ "Fuqiang Lu", "Jialong Liu", "Hualing Bi" ], "first_author": "Fuqiang Lu", "venue": "Applied Sciences", "volume": "15", "pages": null, "type": "article", "language": "en", "abstract": "Drone delivery has gained significant traction in e-commerce, particularly for parcel and food delivery. However, existing systems face challenges such as limited delivery range, low efficiency, high costs, and suboptimal customer satisfaction. This paper proposes a novel drone–rider joint delivery model incorporating an Arc Obstacle Avoidance (AOA) strategy to address these issues in complex urban environments. We formulate a multi-objective optimization model aimed at minimizing delivery costs and maximizing customer satisfaction, solved by a Logistic-Logarithmic Dung Beetle Optimization algorithm (LLDBO). Using a modified Solomon dataset and real-world urban simulations in Shenzhen, our experiments demonstrate that the proposed model achieves a 15.3% reduction in delivery costs and a 27.1% increase in delivery efficiency compared to traditional rider-only delivery. Furthermore, customer satisfaction, measured by the on-time delivery rate, shows a 12.4% improvement (from 83.1% to 95.5%) over the rider-only baseline. The AOA strategy also extends the effective delivery range by up to 22.5% compared to conventional linear obstacle avoidance approaches, as measured by the maximum service radius achievable while maintaining 95% on-time delivery performance. These findings validate the practicality and scalability of the proposed approach for real-world last-mile logistics.", "keywords": [ "Scalability", "Obstacle", "Obstacle avoidance", "Range (aeronautics)", "Robust optimization", "Optimization problem", "Arc routing", "Customer satisfaction" ], "cited_by_openalex": 1, "cited_by_scopus": "1", "eid": "2-s2.0-105021456121", "pii": null, "open_access_url": "https://www.mdpi.com/2076-3417/15/21/11469/pdf?version=1761636182", "sources": [ { "db": "openalex", "stream": "UAV", "query_id": "UAV-1" }, { "db": "scopus", "stream": "UAV", "query_id": "UAV-1" }, { "db": "scopus", "stream": "UAV", "query_id": "UAV-2" } ], "streams": [ "UAV" ], "relevance_signals": [ "UAV" ], "auto_exclude_reason": null, "screening_status": "pending_human_screening", "screened_by": "auto-v1.0.0" }, { "id": "doi:10.48550/arxiv.2501.05200", "doi": "10.48550/arxiv.2501.05200", "title": "On Coordinated Drone-Courier Logistics for Intra-city Express Services", "year": 2025, "authors": [ "Shuiwang Chen", "Kai Wang", "Lingxiao Wu", "Wei Min Qi" ], "first_author": "Shuiwang Chen", "venue": "arXiv (Cornell University)", "volume": null, "pages": null, "type": "preprint", "language": "en", "abstract": "Problem definition: Drones, despite being acknowledged as a transformative force in the city logistics sector, are unable to execute the \\textit{last-meter delivery} (unloading goods directly to customers' doorsteps) due to airspace restrictions and safety concerns. To leverage advancements and overcome the limitations of drones in providing intra-city express services, we introduce a coordinated drone-courier logistics system where drones operate within a closed network among vertiports, while couriers connect customers to the drone delivery system. This paper aims to shed light on this coordinated system in terms of system feasibility, network interactivity, and long-term sustainability. Methodology/Results: We develop an integrated optimization model to optimize the network planning of the coordinated logistics system. The interplay between network planning and tactical operations is mirrored by a queueing network model, resulting in the nonlinear and nonconvex (partially convex and partially concave) feasible region of the optimization model. An iterative exact algorithm that tightens lower and upper bounds by adaptively refining the linear approximations of nonlinear constraints is developed to provide optimality-guaranteed solutions with finite convergence. The computational experiments demonstrate the scalability and robustness of our algorithm across various network configurations and scenarios.Managerial implications: The case study, based on a real-world dataset from SF Express, a logistics giant in China, validates that the coordinated logistics system efficiently attains cost and time savings by leveraging the effective turnover of drones and the coordination between drones and couriers. The optimal network design features a concentrated structure, streamlining demand consolidation and reducing deadhead repositioning.", "keywords": [ "Drone", "Business", "Humanitarian Logistics", "Process management" ], "cited_by_openalex": 1, "cited_by_scopus": 0, "eid": null, "pii": null, "open_access_url": "https://arxiv.org/pdf/2501.05200", "sources": [ { "db": "openalex", "stream": "UAV", "query_id": "UAV-1" }, { "db": "openalex", "stream": "UAV", "query_id": "UAV-3" } ], "streams": [ "UAV" ], "relevance_signals": [ "UAV" ], "auto_exclude_reason": null, "screening_status": "pending_human_screening", "screened_by": "auto-v1.0.0" }, { "id": "doi:10.2139/ssrn.5023766", "doi": "10.2139/ssrn.5023766", "title": "On Coordinated Drone-Courier Logistics for Intra-city Express Services", "year": 2025, "authors": [ "Shuiwang Chen", "Kai Wang", "Lingxiao Wu", "Wei Min Qi" ], "first_author": "Shuiwang Chen", "venue": "SSRN Electronic Journal", "volume": null, "pages": null, "type": "preprint", "language": "en", "abstract": null, "keywords": [ "Drone", "Business", "Operations management", "Transport engineering", "Engineering" ], "cited_by_openalex": 1, "cited_by_scopus": 0, "eid": null, "pii": null, "open_access_url": "https://doi.org/10.2139/ssrn.5023766", "sources": [ { "db": "openalex", "stream": "UAV", "query_id": "UAV-1" }, { "db": "openalex", "stream": "UAV", "query_id": "UAV-3" } ], "streams": [ "UAV" ], "relevance_signals": [ "UAV" ], "auto_exclude_reason": null, "screening_status": "pending_human_screening", "screened_by": "auto-v1.0.0" }, { "id": "doi:10.62311/nesx/rphcrefra5", "doi": "10.62311/nesx/rphcrefra5", "title": "Edge AI in Real-Time Path Planning for Autonomous Delivery Drones", "year": 2025, "authors": [ "Murali Krishna Pasupuleti" ], "first_author": "Murali Krishna Pasupuleti", "venue": "International Journal of Academic and Industrial Research Innovations(IJAIRI)", "volume": null, "pages": null, "type": "article", "language": "en", "abstract": "This study evaluates the integration of Edge AI in real-time path planning for autonomous delivery drones to enhance responsiveness, safety, and computational efficiency in urban logistics. Traditional cloud-based systems suffer from latency and connectivity constraints, limiting decision-making speed in dynamic environments. This research proposes a hybrid framework leveraging Edge AI for local decision-making while maintaining synchronization with cloud systems for global updates. A reinforcement learning-based algorithm was deployed on NVIDIA Jetson Nano and tested in real-time navigation scenarios using simulated urban obstacle courses. The results demonstrate a significant reduction in path replanning time, improved obstacle avoidance accuracy, and enhanced delivery reliability. Regression analysis confirmed the inverse correlation between processing latency and task completion efficiency. Predictive models revealed optimal energy allocation patterns under Edge AI scenarios. This paper concludes that Edge AI is a viable enabler for scalable, responsive, and secure autonomous drone delivery systems. Keywords: Edge AI, autonomous drones, real-time path planning, reinforcement learning, delivery systems, obstacle avoidance", "keywords": [ "Computer science", "Reinforcement learning", "Obstacle avoidance", "Motion planning", "Drone", "Latency (audio)", "Enhanced Data Rates for GSM Evolution", "Obstacle", "Cloud computing", "Scalability", "Real-time computing", "Upstream (networking)" ], "cited_by_openalex": 1, "cited_by_scopus": 0, "eid": null, "pii": null, "open_access_url": "https://www.nationaleducationservices.org/file-download/1426766/Download Full-Text Research Paper PDF Pp 103-113.pdf", "sources": [ { "db": "openalex", "stream": "UAV", "query_id": "UAV-1" } ], "streams": [ "UAV" ], "relevance_signals": [ "UAV" ], "auto_exclude_reason": null, "screening_status": "pending_human_screening", "screened_by": "auto-v1.0.0" }, { "id": "doi:10.1109/ictmod66732.2025.11371786", "doi": "10.1109/ictmod66732.2025.11371786", "title": "Optimization and Energy Efficiency of Ground Autonomous Vehicles and Drones Systems: Current Approaches and Future Perspectives", "year": 2025, "authors": [ "Martina Luzzi", "Khaoula Kharfati", "Luigi Di Puglia Pugliese", "Giusy Macrina", "Francesca Guerriero" ], "first_author": "Martina Luzzi", "venue": "2025 IEEE International Conference on Technology Management Operations and Decisions Ictmod 2025", "volume": null, "pages": null, "type": "conference-paper", "language": null, "abstract": "This study presents a comprehensive review of recent research addressing routing, scheduling, and operational challenges in autonomous electric vehicles and unmanned aerial vehicles within logistics and mobility systems. Unlike previous surveys that provided broad overviews of vehicle routing problem variants and electric vehicle sharing systems, our review focuses specifically on the integration of autonomy and electrification, with particular attention to collaborative ground and air delivery and shared autonomous mobility. The surveyed works highlight three main directions: the incorporation of realistic energy-related constraints such as nonlinear battery consumption and partial recharging; the diversification of applications ranging from last-mile delivery and warehouse stocktaking to ride-sharing and large-scale shared mobility; and the methodological variety spanning exact optimization, heuristics, metaheuristics, and hybrid approaches. These advances mark a shift toward models that better balance realism and efficiency in autonomous logistics. As a result, the study outlines several promising directions for future research in this area.", "keywords": [ "Drone", "Diversification (marketing strategy)", "Efficient energy use", "Variety (cybernetics)", "Autonomy", "Electric vehicle", "Energy consumption" ], "cited_by_openalex": 1, "cited_by_scopus": "1", "eid": "2-s2.0-105034474768", "pii": null, "open_access_url": "https://doi.org/10.1109/ictmod66732.2025.11371786", "sources": [ { "db": "openalex", "stream": "UAV", "query_id": "UAV-1" }, { "db": "openalex", "stream": "UAV", "query_id": "UAV-2" }, { "db": "scopus", "stream": "UAV", "query_id": "UAV-1" }, { "db": "scopus", "stream": "UAV", "query_id": "UAV-2" } ], "streams": [ "UAV" ], "relevance_signals": [ "UAV" ], "auto_exclude_reason": null, "screening_status": "pending_human_screening", "screened_by": "auto-v1.0.0" }, { "id": "doi:10.30574/wjaets.2025.15.1.0307", "doi": "10.30574/wjaets.2025.15.1.0307", "title": "Autonomous vehicles, drones, and AI: Transforming modern supply chain management", "year": 2025, "authors": [ "Tushar Dasgupta" ], "first_author": "Tushar Dasgupta", "venue": "World Journal of Advanced Engineering Technology and Sciences", "volume": null, "pages": null, "type": "article", "language": "en", "abstract": "This article examines the transformative impact of autonomous vehicles, drones, and artificial intelligence/machine learning technologies on modern supply chain management. It explores how these technologies are revolutionizing traditional logistics operations through enhanced efficiency, cost reduction, and sustainability. The article provides a comprehensive analysis of the technical foundations, economic impacts, and operational benefits of autonomous vehicles in transportation, the applications of drone technology in warehouse operations and last-mile delivery, and the role of AI/ML as the cognitive backbone of supply chain automation. Furthermore, it addresses integration challenges, including technological barriers, workforce transformation requirements, and ethical considerations, while offering strategic recommendations for organizations and identifying research gaps for future scholarly inquiry. The findings suggest that these technologies collectively enable fundamental operational transformations, shifting supply chains from linear to networked structures, from reactive to predictive decision-making, and from fragmented to integrated information flows, ultimately leading to more resilient, sustainable, and intelligent supply networks.", "keywords": [ "Drone", "Supply chain", "Supply chain management", "Business", "Aeronautics", "Engineering", "Marketing" ], "cited_by_openalex": 1, "cited_by_scopus": 0, "eid": null, "pii": null, "open_access_url": "https://doi.org/10.30574/wjaets.2025.15.1.0307", "sources": [ { "db": "openalex", "stream": "UAV", "query_id": "UAV-1" } ], "streams": [ "UAV" ], "relevance_signals": [ "UAV" ], "auto_exclude_reason": null, "screening_status": "pending_human_screening", "screened_by": "auto-v1.0.0" }, { "id": "doi:10.4103/jfmpc.jfmpc_1994_24", "doi": "10.4103/jfmpc.jfmpc_1994_24", "title": "Leveraging drone technology in health systems strengthening: A cost-effectiveness analysis from Northeast India", "year": 2025, "authors": [ "Prakamya Gupta", "Ragini Bhatia", "Ranjan Kumar Choudhury", "Atul Kotwal" ], "first_author": "Prakamya Gupta", "venue": "Journal of Family Medicine and Primary Care", "volume": null, "pages": null, "type": "article", "language": "en", "abstract": "A BSTRACT Introduction: Unmanned aerial vehicles (UAVs) or drones have the potential to revolutionize healthcare logistics last-mile delivery. The use of drone technology in healthcare is relatively a new domain with a few sites undertaking pilot trials resulting in a lack of data for analysis, particularly in the healthcare sector. The present study aims to explore the longitudinal analysis and cost-effectiveness assessment of the implementation of drone technology in the public healthcare system. Methods: Retrospective data from December 2022 to January 2024 were obtained from the World Bank sponsored Meghalaya Drone Delivery Network under the Meghalaya Health Systems Strengthening Project. An economic evaluation of the drones versus vehicle transportation of medical logistics from hub to spoke was conducted. Carbon emissions from vehicles and drones for transportation were also compared. Results: A total of 214 flights were conducted, transporting 199·05 kg of payload to 11 spoke sites (primary healthcare centers) during 7 months period. The average cost by road transportation for one round trip was INR 2902 (US$ 34·80), whereas by drone, it was INR 3743 (US$ 44·87). The Incremental Cost-Effectiveness Ratio (ICER) for drone transportation is INR 12 (US$ 0·14) per Disability Adjusted Life Years (DALY) averted as compared to vehicle transportation of medical logistics. The healthcare facility with drone services was able to avert 106 DALYs compared to 36 DALYs per month by the healthcare facility with a conventional mode of transportation. The drone services would require an additional INR 56 (US$ 0·67) to save 1 minute to transport medical logistics. The CO 2 emission per payload delivered by drones was up to 99% less than the conventional mode of transportation. Conclusion: Drone technology in healthcare complements the existing supply chain routes and is a value addition for saving lives in unforeseen medical emergencies. Further trials are required for firming up use cases to understand the challenges associated.", "keywords": [ "Drone", "Healthcare system", "Value (mathematics)", "Health care", "Supply chain", "Health technology" ], "cited_by_openalex": 1, "cited_by_scopus": 0, "eid": null, "pii": null, "open_access_url": "https://doi.org/10.4103/jfmpc.jfmpc_1994_24", "sources": [ { "db": "openalex", "stream": "UAV", "query_id": "UAV-1" }, { "db": "openalex", "stream": "UAV", "query_id": "UAV-3" } ], "streams": [ "UAV" ], "relevance_signals": [ "UAV" ], "auto_exclude_reason": null, "screening_status": "pending_human_screening", "screened_by": "auto-v1.0.0" }, { "id": "doi:10.1109/leficlu65987.2025.11297266", "doi": "10.1109/leficlu65987.2025.11297266", "title": "Location Method of Logistics Drone Vertiport Based on Urban Spatial Accessibility", "year": 2025, "authors": [ "Zhendong Li", "Jian Lü", "Shan Li", "Xuerui Wang" ], "first_author": "Zhendong Li", "venue": "2025 Low Altitude Economy Forum and International Conference on Low Altitude Flight Technology and Unmanned Aerial Vehicle Application Lef and Iclu 2025", "volume": null, "pages": "62-66", "type": "conference-paper", "language": null, "abstract": "Under the background of the rapid development of urban low-altitude logistics, there are some problems such as insufficient accessibility and weak market competitiveness at the drone vertiport, which seriously restricts the efficiency and service quality of urban logistics distribution. In this paper, a location method of logistics drone vertiport based on urban spatial accessibility is proposed. Combined with the urban environmental characteristics and the distribution of users’ needs, the accessibility evaluation framework of vertiports based on cumulative opportunity model is constructed, and the vertiport location model is established, which is solved by self-organizing map algorithm to realize the optimal location of vertiports and the optimization of service relationship. An empirical analysis is made on an area in Nanjing. The results show that the layout scheme of 20 vertiports obtained by this method can ensure that residents can enjoy at least one vertiport service within a five-minute walking life circle. The proposed method realizes the optimal allocation of drone vertiport resources and promotes the development of low-altitude logistics industry.", "keywords": [ "Drone", "Service (business)", "Location-allocation", "Scheme (mathematics)", "City logistics", "Facility location problem", "Empirical research", "Distribution (mathematics)" ], "cited_by_openalex": 1, "cited_by_scopus": "1", "eid": "2-s2.0-105031700892", "pii": null, "open_access_url": "https://doi.org/10.1109/leficlu65987.2025.11297266", "sources": [ { "db": "openalex", "stream": "UAV", "query_id": "UAV-1" }, { "db": "openalex", "stream": "UAV", "query_id": "UAV-3" }, { "db": "scopus", "stream": "UAV", "query_id": "UAV-1" }, { "db": "scopus", "stream": "UAV", "query_id": "UAV-3" } ], "streams": [ "UAV" ], "relevance_signals": [ "UAV" ], "auto_exclude_reason": null, "screening_status": "pending_human_screening", "screened_by": "auto-v1.0.0" }, { "id": "doi:10.1109/ictis68762.2025.11215034", "doi": "10.1109/ictis68762.2025.11215034", "title": "Enhancing the Resilience of Emergency Food Supply Chains: Dehydration Solutions and the Role of Drones in Humanitarian Logistics", "year": 2025, "authors": [ "Ana I. García López", "Pedro Antonio García López" ], "first_author": "Ana I. García López", "venue": "8th International Conference on Transportation Information and Safety Transportation Artificial Intelligence and Green Energy Making A Sustainable World Ictis 2025", "volume": null, "pages": "65-71", "type": "conference-paper", "language": null, "abstract": "Within the REMESH project, one of the lines of work focuses on strengthening emergency supply chains and enhancing their resilience in disaster situations. This involves developing innovative solutions and fostering collaboration among key stakeholders to optimize humanitarian response. In this context, this research focuses on cost-benefit analysis and, more specifically, on efficient supply management, exploring ways to ensure food security during crises. It emphasizes innovative approaches to extending food shelf life through dehydration techniques, thereby reducing the need for refrigeration and improving logistical efficiency.In parallel, this research looks into how drones can improve last-mile delivery, tackling the challenges of reaching isolated communities. By optimizing delivery routes and using autonomous UAV systems, it explores ways to make distribution more efficient. A key part of this effort is developing an open-source software tool to better manage drone fleets and plan emergency food rations. This tool aims to ensure cost-effective, nutritionally balanced food distribution, tailored to the realities of crisis situations.The findings contribute to improving the resilience of humanitarian supply chains, providing a data-driven framework for integrating emerging technologies into emergency response efforts. By combining dehydration solutions with drone-based logistics, this research offers practical strategies to enhance the efficiency, reach, and sustainability of food distribution in disaster scenarios.", "keywords": [ "Resilience (materials science)", "Drone", "Supply chain", "Humanitarian Logistics", "Sustainability", "Key (lock)", "Food security", "Work (physics)" ], "cited_by_openalex": 1, "cited_by_scopus": "1", "eid": "2-s2.0-105022497480", "pii": null, "open_access_url": "https://doi.org/10.1109/ictis68762.2025.11215034", "sources": [ { "db": "openalex", "stream": "UAV", "query_id": "UAV-1" }, { "db": "scopus", "stream": "UAV", "query_id": "UAV-1" } ], "streams": [ "UAV" ], "relevance_signals": [ "UAV" ], "auto_exclude_reason": null, "screening_status": "pending_human_screening", "screened_by": "auto-v1.0.0" }, { "id": "doi:10.1016/j.rtbm.2025.101585", "doi": "10.1016/j.rtbm.2025.101585", "title": "Machine learning-enabled real-time risk prediction and mitigation in drone-based hazmat delivery", "year": 2025, "authors": [ "Ahmed Moussa", "Elkafi Hassini", "Mohamed Ezzeldin", "Wael W. El-Dakhakhni" ], "first_author": "Ahmed Moussa", "venue": "Research in Transportation Business & Management", "volume": "65", "pages": null, "type": "article", "language": "en", "abstract": "Hazardous material (hazmat) transportation presents considerable public safety and regulatory challenges, especially in dense urban environments. While drones are gaining traction as a viable solution for last-mile hazmat delivery, the literature has yet to present a comprehensive framework that integrates real-time risk mitigation with multi-stakeholder consequence assessment. This study addresses this critical gap by introducing a novel drone-based hazmat transportation framework built on two core innovations: the Accident Prediction and Mitigation System (APRiMS) and a multi-dimensional risk prediction suite. APRiMS functions as an autonomous decision-support engine, continuously processing real-time flight, shipment, and environmental data to estimate accident likelihood and initiate mitigation measures. In parallel, the framework incorporates four machine learning models that predict the potential impacts of drone-related incidents on the public, businesses, and customers. These components operate within a closed-loop architecture, wherein risk predictions dynamically inform APRiMS decisions, enabling real-time, consequence-aware operational responses. The proposed framework offers a scalable and intelligent deployment of drones for high-risk logistics.", "keywords": [ "Risk assessment", "Hazardous waste", "Risk management", "Production (economics)", "Work (physics)" ], "cited_by_openalex": 1, "cited_by_scopus": "1", "eid": "2-s2.0-105028968068", "pii": "S2210539525003025", "open_access_url": "https://doi.org/10.1016/j.rtbm.2025.101585", "sources": [ { "db": "openalex", "stream": "UAV", "query_id": "UAV-1" }, { "db": "scopus", "stream": "UAV", "query_id": "UAV-1" } ], "streams": [ "UAV" ], "relevance_signals": [ "UAV" ], "auto_exclude_reason": null, "screening_status": "pending_human_screening", "screened_by": "auto-v1.0.0" }, { "id": "doi:10.2139/ssrn.5199779", "doi": "10.2139/ssrn.5199779", "title": "Real-Time Order Dispatch for On-Demand Food-Delivery Platforms with a Mixed Fleet of Drones and Couriers", "year": 2025, "authors": [ "Tingting Dong", "Yitong Shang", "Zhijie Lai", "Sen Li" ], "first_author": "Tingting Dong", "venue": "SSRN Electronic Journal", "volume": null, "pages": null, "type": "preprint", "language": "en", "abstract": null, "keywords": [ "Drone", "Order (exchange)", "Food delivery", "Business", "Computer science", "On demand", "Operations research", "Advertising", "Engineering", "Commerce", "Finance", "Biology" ], "cited_by_openalex": 1, "cited_by_scopus": 0, "eid": null, "pii": null, "open_access_url": "https://doi.org/10.2139/ssrn.5199779", "sources": [ { "db": "openalex", "stream": "UAV", "query_id": "UAV-1" } ], "streams": [ "UAV" ], "relevance_signals": [ "UAV" ], "auto_exclude_reason": null, "screening_status": "pending_human_screening", "screened_by": "auto-v1.0.0" }, { "id": "doi:10.1016/j.ast.2025.111242", "doi": "10.1016/j.ast.2025.111242", "title": "Air route network planning for urban logistics with vertihub: An airspace model", "year": 2025, "authors": [ "Zhong‐Ming Li", "Yifei Zhao", "Xinhui Ren", "Ruijia Gu" ], "first_author": "Zhong‐Ming Li", "venue": "Aerospace Science and Technology", "volume": "168", "pages": null, "type": "article", "language": "en", "abstract": null, "keywords": [ "Energy consumption", "Route planning", "Visibility", "Key (lock)", "Motion planning", "Time horizon", "Network planning and design", "Air traffic control", "Flow network" ], "cited_by_openalex": 1, "cited_by_scopus": "1", "eid": "2-s2.0-105023165378", "pii": "S1270963825013057", "open_access_url": "https://doi.org/10.1016/j.ast.2025.111242", "sources": [ { "db": "openalex", "stream": "UAV", "query_id": "UAV-1" }, { "db": "scopus", "stream": "UAV", "query_id": "UAV-1" } ], "streams": [ "UAV" ], "relevance_signals": [ "NO_TECHNOLOGY_MATCH" ], "auto_exclude_reason": "EC-4-topic", "screening_status": "auto_excluded", "screened_by": "auto-v1.0.0" }, { "id": "doi:10.5573/ieiespc.2025.14.2.257", "doi": "10.5573/ieiespc.2025.14.2.257", "title": "UAV Logistics and Distribution Path Planning in Urban Areas Based on Improved PSO and A* Algorithms", "year": 2025, "authors": [ "Lei Li", "Huimin Peng", "Xingxue Ren", "Qianqian Wang" ], "first_author": "Lei Li", "venue": "IEIE Transactions on Smart Processing and Computing", "volume": "14", "pages": "257-267", "type": "article", "language": "en", "abstract": "Drones have shown enormous potential in urban logistics due to their efficiency and flexibility. However, traditional path planning methods such as particle swarm optimization and A* algorithm often find it difficult to meet both efficiency and safety when used alone. Therefore, this study proposes a new unmanned aerial vehicle logistics distribution path planning method. By adjusting parameters and optimizing search strategies, the particle swarm optimization algorithm utilizes the efficient pathfinding ability of A* algorithm to ensure its security. The results show that the obstacle avoidance success rate of the model is 94.85%, which is the best performance compared to other comparative algorithms and provides the shortest and smoothest path selection. This method demonstrates good path planning efficiency and stability, improving logistics and distribution capabilities in urban environments. This provides valuable reference for intelligent path planning and intelligent transportation systems.", "keywords": [ "Computer science", "Path (computing)", "Motion planning", "Algorithm", "Distribution (mathematics)", "Artificial intelligence", "Operations research", "Mathematics", "Computer network" ], "cited_by_openalex": 2, "cited_by_scopus": "1", "eid": "2-s2.0-105006710255", "pii": null, "open_access_url": "https://doi.org/10.5573/ieiespc.2025.14.2.257", "sources": [ { "db": "openalex", "stream": "UAV", "query_id": "UAV-1" }, { "db": "scopus", "stream": "UAV", "query_id": "UAV-1" } ], "streams": [ "UAV" ], "relevance_signals": [ "UAV" ], "auto_exclude_reason": null, "screening_status": "pending_human_screening", "screened_by": "auto-v1.0.0" }, { "id": "doi:10.1016/j.ifacol.2025.12.435", "doi": "10.1016/j.ifacol.2025.12.435", "title": "HomePorts-Based UAV Logistics Delivery System Enabled by Blockchain Intelligence", "year": 2025, "authors": [ "Tengchao Zhang", "Fei Lin", "Fei-Yue Wang" ], "first_author": "Tengchao Zhang", "venue": "IFAC-PapersOnLine", "volume": "59", "pages": "30-35", "type": "article", "language": "en", "abstract": "With the rise of the low-altitude economy and the rapid development of UAV autonomous navigation and blockchain intelligence, this paper proposes a HomePorts-based Unmanned Aerial Vehicle(UAV) logistics delivery system enabled by blockchain intelligence to address the “last-mile” delivery challenge. The proposed system encompasses UAV task allocation, user interaction networks, and real-time on-chain data recording. It enables full-process automation and end-to-end monitoring of parcel delivery, providing users with efficient and secure logistics services. Finally, simulation experiments are conducted to validate the system’s advantages in automation and security.", "keywords": [ "Blockchain", "Key (lock)", "Delivery system", "Tracking system", "Process (computing)" ], "cited_by_openalex": 1, "cited_by_scopus": "1", "eid": "2-s2.0-105029866497", "pii": "S2405896325031520", "open_access_url": "https://doi.org/10.1016/j.ifacol.2025.12.435", "sources": [ { "db": "openalex", "stream": "UAV", "query_id": "UAV-1" }, { "db": "scopus", "stream": "UAV", "query_id": "UAV-1" } ], "streams": [ "UAV" ], "relevance_signals": [ "UAV" ], "auto_exclude_reason": null, "screening_status": "pending_human_screening", "screened_by": "auto-v1.0.0" }, { "id": "doi:10.5302/j.icros.2025.25.0097", "doi": "10.5302/j.icros.2025.25.0097", "title": "Last-mile Delivery by an Autonomous Drone Through a Balcony in Urban Environments", "year": 2025, "authors": [ "Joohyuk Lee", "Sasanka Kuruppu Arachchige", "Joo‐Ho Lee", "Hyeonjeong Heo", "Doo-Hyeong Lee" ], "first_author": "Joohyuk Lee", "venue": "Journal of Institute of Control Robotics and Systems", "volume": "31", "pages": "1006-1013", "type": "article", "language": "en", "abstract": "Last-mile delivery by a drone in urban environments with high-rise buildings is a challenging task due to the presence of severe GPS errors and a high risk of collisions. This paper proposes the technologies required for a drone to perform last-mile deliveries autonomously in urban environments. First, we recognize urban obstacles simulating high-rise buildings using 2D LiDAR and construct an occupancy grid map to avoid obstacles as the shortest path through the center point between obstacles. Next, we detect a balcony window look-alike marker using a deep learning model and then estimate the position and attitude of the origin-symmetric marker. Based on the estimated pose of the marker, the drone is guided to enter the balcony area and drop the cargo on the balcony. We also design a device and mechanism that fixes and drops cargo via lock and release operations, which is attached to the bottom of a small drone. Finally, we perform precision landing using a cascaded ArUco marker created from two ArUco markers with different IDs. We validate each of the proposed technologies in a realistic testing environment.", "keywords": [ "Drone", "Occupancy grid mapping", "Global Positioning System", "Grid", "Lidar", "Window (computing)", "Construct (python library)", "Urban environment", "Path (computing)" ], "cited_by_openalex": 0, "cited_by_scopus": "1", "eid": "2-s2.0-105015413513", "pii": null, "open_access_url": "https://doi.org/10.5302/j.icros.2025.25.0097", "sources": [ { "db": "openalex", "stream": "UAV", "query_id": "UAV-1" }, { "db": "scopus", "stream": "UAV", "query_id": "UAV-1" } ], "streams": [ "UAV" ], "relevance_signals": [ "UAV" ], "auto_exclude_reason": null, "screening_status": "pending_human_screening", "screened_by": "auto-v1.0.0" }, { "id": "doi:10.30574/wjaets.2025.17.2.1482", "doi": "10.30574/wjaets.2025.17.2.1482", "title": "Autonomous Vehicles and UAVs: A Comprehensive Review of Technologies, Applications, and Future Challenges", "year": 2025, "authors": [ "S. V. Viraktamath", "Mallikarjun S Jigalur", "Prarthana R Chikkalkar" ], "first_author": "S. V. Viraktamath", "venue": "World Journal of Advanced Engineering Technology and Sciences", "volume": null, "pages": null, "type": "article", "language": null, "abstract": "Autonomous vehicles (AVs) and unmanned aerial vehicles (UAVs) are transforming mobility, logistics, agriculture, and public services through advancements in sensing, navigation, planning, and artificial intelligence. This paper provides a comprehensive review of recent technological developments, including multi-sensor fusion, AI-driven perception, GNSS-based and vision-based navigation, and motion planning strategies. Applications in precision agriculture, last-mile logistics, and healthcare delivery are discussed, alongside hardware optimization for UAV platforms. Furthermore, the paper examines societal and economic implications such as accessibility, regulation, and the disruptive impact on industries and employment. Key challenges including trust, cybersecurity, scalability, and equitable integration are highlighted, with future research directions identified to ensure safe, efficient, and socially responsible deployment of autonomous systems.", "keywords": [ "Software deployment", "Key (lock)", "Societal impact of nanotechnology", "Drone", "Disruptive technology", "Social impact" ], "cited_by_openalex": 1, "cited_by_scopus": 0, "eid": null, "pii": null, "open_access_url": "https://journalwjaets.com/sites/default/files/fulltext_pdf/WJAETS-2025-1482.pdf", "sources": [ { "db": "openalex", "stream": "UAV", "query_id": "UAV-1" } ], "streams": [ "UAV" ], "relevance_signals": [ "UAV" ], "auto_exclude_reason": null, "screening_status": "pending_human_screening", "screened_by": "auto-v1.0.0" }, { "id": "doi:10.1007/978-3-031-78918-2_24", "doi": "10.1007/978-3-031-78918-2_24", "title": "Optimizing the TSP-D with Pity Beetle Algorithm to Minimize the Delivery Completion Time for UAV Routing Problems", "year": 2025, "authors": [ "Yugeswary Kanesen", "Hasneeza Liza Zakaria", "M. S. Asi", "Rozmie Razif Othman", "Wan Nur Suryani Firuz Wan Ariffin", "Nuraminah Ramli", "Mohd Alif Hasmani Abd Ghani" ], "first_author": "Yugeswary Kanesen", "venue": "Studies in computational intelligence", "volume": "1015", "pages": "267-277", "type": "conference-paper", "language": "en", "abstract": null, "keywords": [ "Pity", "Computer science", "Mathematical optimization", "Routing (electronic design automation)", "Routing algorithm", "Algorithm", "Mathematics", "Computer network", "Psychology", "Routing protocol" ], "cited_by_openalex": 1, "cited_by_scopus": "1", "eid": "2-s2.0-105003628501", "pii": null, "open_access_url": "https://doi.org/10.1007/978-3-031-78918-2_24", "sources": [ { "db": "openalex", "stream": "UAV", "query_id": "UAV-1" }, { "db": "openalex", "stream": "UAV", "query_id": "UAV-2" }, { "db": "scopus", "stream": "UAV", "query_id": "UAV-1" }, { "db": "scopus", "stream": "UAV", "query_id": "UAV-2" } ], "streams": [ "UAV" ], "relevance_signals": [ "UAV_NO_CTX" ], "auto_exclude_reason": "EC-4-topic", "screening_status": "auto_excluded", "screened_by": "auto-v1.0.0" }, { "id": "doi:10.2139/ssrn.5079937", "doi": "10.2139/ssrn.5079937", "title": "Heuristic Evaluation in A-Star Algorithm for Enhanced Urban Uav Path Optimization", "year": 2025, "authors": [ "Hari Balakrishnan", "Abhilash Suryan", "Anu Plavara Alex", "Sonia S. Raj", "Guang Chun Zhang" ], "first_author": "Hari Balakrishnan", "venue": "SSRN Electronic Journal", "volume": null, "pages": null, "type": "preprint", "language": "en", "abstract": null, "keywords": [ "Heuristic", "Path (computing)", "Star (game theory)", "A* search algorithm", "Computer science", "Mathematical optimization", "Algorithm", "Mathematics", "Artificial intelligence", "Computer network" ], "cited_by_openalex": 1, "cited_by_scopus": 0, "eid": null, "pii": null, "open_access_url": "https://doi.org/10.2139/ssrn.5079937", "sources": [ { "db": "openalex", "stream": "UAV", "query_id": "UAV-1" } ], "streams": [ "UAV" ], "relevance_signals": [ "UAV_NO_CTX" ], "auto_exclude_reason": "EC-4-topic", "screening_status": "auto_excluded", "screened_by": "auto-v1.0.0" }, { "id": "doi:10.4018/979-8-3373-4952-7.ch006", "doi": "10.4018/979-8-3373-4952-7.ch006", "title": "Drone Taxis and Drone Deliveries in Smart Logistics Security Surveillance", "year": 2025, "authors": [ "Nidhi Kastwar", "Aakash Gupta" ], "first_author": "Nidhi Kastwar", "venue": "Innovative Strategies in Aviation Management and Marketing", "volume": null, "pages": "149-180", "type": "book-chapter", "language": "ng", "abstract": "Integrating drone taxis and drone-based delivery systems is reshaping the landscape of smart logistics worldwide. These surveillance and aerial technologies offer solutions for last-mile delivery, congestion mitigation, and real-time supply chain responsiveness. However, their adoption introduces complex regulatory, technological, ethical, and operational challenges. Effective governance frameworks are needed to address airspace management, liability, insurance, and cross-jurisdictional coordination issues in the context of security surveillance. Technological innovations must be balanced with robust cybersecurity and data protection measures. Ethical imperatives demand that privacy, environmental impact, and social equity be considered in deployment strategies. The chapter examines these dynamics, drawing on international developments and referencing India as a key case for regulatory experimentation. The analysis aims to provide actionable insights to stakeholders seeking to advance sustainable, efficient, and responsible adoption of drone technologies in smart logistics", "keywords": [ "Drone", "Taxis", "Software deployment", "Context (archaeology)", "Key (lock)", "Supply chain", "Corporate governance", "Smart city" ], "cited_by_openalex": 0, "cited_by_scopus": "1", "eid": "2-s2.0-105025382499", "pii": null, "open_access_url": "https://doi.org/10.4018/979-8-3373-4952-7.ch006", "sources": [ { "db": "openalex", "stream": "UAV", "query_id": "UAV-1" }, { "db": "openalex", "stream": "UAV", "query_id": "UAV-3" }, { "db": "scopus", "stream": "UAV", "query_id": "UAV-1" }, { "db": "scopus", "stream": "UAV", "query_id": "UAV-3" } ], "streams": [ "UAV" ], "relevance_signals": [ "UAV" ], "auto_exclude_reason": "EC-4", "screening_status": "auto_excluded", "screened_by": "auto-v1.0.0" }, { "id": "doi:10.1109/wincom65874.2025.11313401", "doi": "10.1109/wincom65874.2025.11313401", "title": "ML-Based UAV Routing with Dynamic Geofencing Using 5G NEF and CAMARA APIs", "year": 2025, "authors": [ "Wassim Kribaa", "Miloud Bagaa", "Ibrahim Afolabi", "Adlen Ksentini", "Mohammed Salem Elmusrati", "Petri O. Välisuo" ], "first_author": "Wassim Kribaa", "venue": "International Conference on Wireless Networks and Mobile Communications Wincom", "volume": null, "pages": null, "type": "conference-paper", "language": "en", "abstract": "In dense urban environments, traditional GNSS-based navigation for Unmanned Aerial Vehicles (UAVs) suffers from multipath interference and signal obstructions, compromising positioning accuracy and increasing risks of collisions and airspace violations. This paper proposes a novel machine learning-based system architecture for autonomous UAV parcel delivery, leveraging standardized 5G Network Exposure Function (NEF) and CAMARA Device Location API to achieve sub-meter location precision. Our approach integrates dynamic geofencing and predictive rerouting at the network edge, powered by a Random Forest-based collision prediction model that proactively adjusts UAV trajectories to avoid restricted zones in real time. Through simulations of six UAVs navigating dynamically updated no-fly zones, we demonstrate that our system significantly reduces time spent in restricted areas to near zero, compared to GNSS-only and rule-based methods, while limiting path-length inflation to approximately 30% for five of six flights. These results underscore the potential of combining 5G-enabled location services with edge intelligence to enhance safety and compliance in urban UAV operations.", "keywords": [ "Multipath propagation", "Limiting", "Drone", "Routing (electronic design automation)", "Interference (communication)", "Enhanced Data Rates for GSM Evolution", "Function (biology)", "Base station", "Trajectory" ], "cited_by_openalex": 1, "cited_by_scopus": "1", "eid": "2-s2.0-105034168293", "pii": null, "open_access_url": "https://doi.org/10.1109/wincom65874.2025.11313401", "sources": [ { "db": "openalex", "stream": "UAV", "query_id": "UAV-1" }, { "db": "scopus", "stream": "UAV", "query_id": "UAV-1" } ], "streams": [ "UAV" ], "relevance_signals": [ "UAV" ], "auto_exclude_reason": null, "screening_status": "pending_human_screening", "screened_by": "auto-v1.0.0" }, { "id": "doi:10.1109/icca65672.2025.11129839", "doi": "10.1109/icca65672.2025.11129839", "title": "Heterogeneous Alignment-Based Spatio-Temporal Graph Reinforcement Learning for Dynamic Multi-UAVs Task Assignment", "year": 2025, "authors": [ "Haojie Zhu", "Mou Chen", "Tongle Zhou", "Zengliang Han" ], "first_author": "Haojie Zhu", "venue": "IEEE International Conference on Control and Automation Icca", "volume": null, "pages": "769-774", "type": "conference-paper", "language": "en", "abstract": "The dynamic task assignment for heterogeneous Unmanned Aerial Vehicles (UAVs) has emerged as a pivotal challenge in mission-critical applications such as disaster response and urban logistics. A novel Heterogeneous Alignment-based Spatio-Temporal Graph Reinforcement Learning (HASTG-RL) framework is proposed to address this issue. First, a Dynamic Spatio-Temporal Graph (DSTG) is constructed to update environment states continuously. Second, a Transformer-based heterogeneous alignment mechanism is developed to resolve the UAV heterogeneity. Moreover, independent critic networks incorporating multi-objective optimization are designed to simultaneously evaluate task completion, energy consumption, and flight distance. The simulation results show that the proposed method demonstrates superior performance in task completion rate and better flight distance compared to state-of-the-art baselines in dynamic scenarios.", "keywords": [ "Reinforcement learning", "Computer science", "Task (project management)", "Graph", "Artificial intelligence", "Human–computer interaction", "Machine learning", "Theoretical computer science", "Engineering" ], "cited_by_openalex": 1, "cited_by_scopus": "1", "eid": "2-s2.0-105016117767", "pii": null, "open_access_url": "https://doi.org/10.1109/icca65672.2025.11129839", "sources": [ { "db": "openalex", "stream": "UAV", "query_id": "UAV-1" }, { "db": "scopus", "stream": "UAV", "query_id": "UAV-1" } ], "streams": [ "UAV" ], "relevance_signals": [ "UAV" ], "auto_exclude_reason": null, "screening_status": "pending_human_screening", "screened_by": "auto-v1.0.0" }, { "id": "doi:10.1109/mswim67937.2025.11308755", "doi": "10.1109/mswim67937.2025.11308755", "title": "dynRDF: Using Deep Contextual Bandits to Optimize Position Flooding in Urban UAV Networks", "year": 2025, "authors": [ "Konrad Fuger", "Kwame Ofori", "Andreas Timm‐Giel" ], "first_author": "Konrad Fuger", "venue": "Mswim 2025 27th International Conference on Modeling Analysis and Simulation of Wireless and Mobile Systems", "volume": null, "pages": "211-218", "type": "conference-paper", "language": null, "abstract": "Advances in mechanical capabilities and mass manufacturing of Unmanned Aerial Vehicles (UAVs) are driving their application in various fields from precision agriculture to infrastructure monitoring and on-demand parcel delivery. Especially in urban areas it is projected that large amount of UAVs will inhabit the airspace. To facilitate the safe and reliable operation of large-scale urban UAV deployments, an Unmanned Aerial Traffic Management (UTM) system is required. Such a system needs to be aware of all movements within the airspace to control and monitor urban UAV operations. One way to realize this is the establishment of an ad-hoc network, which UAVs use for network-wide dissemination of their positions. Recently, Rate Decay Flooding (RDF) has been proposed as a tailor-made protocol to realize such a system. Although RDF has been proven to be efficient in supporting UTM applications in larger networks than ordinarily possible, much of its success relies on the proper selection of protocol parameters. In this work, we propose a reinforcement-learning framework that automatically adapts the configuration of RDF to its perceived environment. We utilize deep contextual bandits as a light-weight, but effective method to capture the non-linear relationship between the perceived environment and the achieved performance. We name this extension Dynamic Rate Decay Flooding (dynRDF). In a simulation study, we show that this solution is effective in finding optimal configurations for RDF for varying network sizes. To achieve this, only 2.7 % of all possible configurations had to be explored. Allowing dynRDF to also take the local UAV density into account, a performance gain of more than 12 % is achieved in a relevant composite metric capturing both the timely dissemination of position updates to nearby UAVs and reliable network-wide dissemination.", "keywords": [ "Flooding (psychology)", "Protocol (science)", "Position (finance)", "RDF", "Scheme (mathematics)", "Control (management)" ], "cited_by_openalex": 1, "cited_by_scopus": "1", "eid": "2-s2.0-105032536677", "pii": null, "open_access_url": "https://doi.org/10.1109/mswim67937.2025.11308755", "sources": [ { "db": "openalex", "stream": "UAV", "query_id": "UAV-1" }, { "db": "scopus", "stream": "UAV", "query_id": "UAV-1" } ], "streams": [ "UAV" ], "relevance_signals": [ "UAV" ], "auto_exclude_reason": null, "screening_status": "pending_human_screening", "screened_by": "auto-v1.0.0" }, { "id": "doi:10.15294/rji.v3i1.4430", "doi": "10.15294/rji.v3i1.4430", "title": "QR-Code Based Visual Servoing and Target Recognition to Improve Payload Release Accuracy in Air Delivery Missions using Fully Autonomous Quad-Copter UAV", "year": 2025, "authors": [ "Bondan Eka Nugraha", "Zaenal Abidin" ], "first_author": "Bondan Eka Nugraha", "venue": "Recursive Journal of Informatics", "volume": null, "pages": null, "type": "article", "language": "en", "abstract": "Abstract. Unmanned Aerial Vehicles (UAVs) are increasingly utilized for package delivery due to their efficiency and automation capabilities. UAVs can execute autonomous flight missions using Global Positioning System (GPS)-based navigation. However, challenges arise in the final stage of delivery, known as the last-mile delivery problem. The limitations of GPS-based navigation, the absence of recipient authentication, and shifting drop-off points create reliability and safety concerns. External factors such as varied environmental topography further contribute to delivery inaccuracies, highlighting the need for a more precise approach. Purpose: Many studies have explored UAV navigation and delivery systems, but challenges in last-mile delivery remain unresolved. This research introduces an improved UAV delivery system using computer vision (CV) and image-based visual servoing (IBVS) with QR Codes as location markers. The aim is to enhance UAV navigation accuracy and recipient verification, ensuring more reliable package deliveries. Methods/Study design/approach: The study implements a CV-based navigation system where QR Codes serve as landing markers for UAVs. Image processing is conducted using a companion computer linked to the UAV's flight control system. The IBVS method enables UAVs to adjust their position in real-time, minimizing GPS errors. Recipient verification is performed through QR Code scanning before releasing the package. The system is tested through computer simulations and real flight experiments to assess accuracy and effectiveness. Result/Findings: Experimental results demonstrate that UAVs equipped with the IBVS method can successfully complete package delivery missions with improved accuracy. GPS errors are corrected by aligning the UAV's position with QR Code markers, and recipient authentication is verified before package release. Real-flight tests confirm that this approach significantly enhances UAV delivery reliability compared to conventional GPS-based navigation. Novelty/Originality/Value: This research presents a novel integration of computer vision and UAV navigation for addressing last-mile delivery challenges. By leveraging IBVS and QR Code-based authentication, UAVs can perform fully autonomous, precise, and secure package deliveries. This method offers a viable solution to improve UAV-based logistics, reducing delivery errors and enhancing operational safety.", "keywords": [ "Payload (computing)", "Visual servoing", "Computer vision", "Code (set theory)", "Artificial intelligence", "Computer science", "Real-time computing", "Image (mathematics)", "Computer network" ], "cited_by_openalex": 1, "cited_by_scopus": 0, "eid": null, "pii": null, "open_access_url": "https://doi.org/10.15294/rji.v3i1.4430", "sources": [ { "db": "openalex", "stream": "UAV", "query_id": "UAV-1" } ], "streams": [ "UAV" ], "relevance_signals": [ "UAV" ], "auto_exclude_reason": null, "screening_status": "pending_human_screening", "screened_by": "auto-v1.0.0" }, { "id": "doi:10.32604/cmc.2025.063703", "doi": "10.32604/cmc.2025.063703", "title": "An Improved Multi-Actor Hybrid Attention Critic Algorithm for Cooperative Navigation in Urban Low-Altitude Logistics Environments", "year": 2025, "authors": [ "Chao Li", "Quanzhi Feng", "Caichang Ding", "Zhiwei Ỹe" ], "first_author": "Chao Li", "venue": "Computers, materials & continua/Computers, materials & continua (Print)", "volume": "84", "pages": "3605-3621", "type": "article", "language": "en", "abstract": "The increasing adoption of unmanned aerial vehicles (UAVs) in urban low-altitude logistics systems, particularly for time-sensitive applications like parcel delivery and supply distribution, necessitates sophisticated coordin... | Find, read and cite all the research you need on Tech Science Press", "keywords": [ "Computer science", "Low altitude", "Altitude (triangle)", "Environmental science", "Aerospace engineering", "Artificial intelligence", "Engineering", "Mathematics" ], "cited_by_openalex": 3, "cited_by_scopus": "1", "eid": "2-s2.0-105011149692", "pii": null, "open_access_url": "https://cdn.techscience.press/files/cmc/2025/TSP_CMC-84-2/TSP_CMC_63703/TSP_CMC_63703.pdf", "sources": [ { "db": "openalex", "stream": "UAV", "query_id": "UAV-1" }, { "db": "scopus", "stream": "UAV", "query_id": "UAV-1" } ], "streams": [ "UAV" ], "relevance_signals": [ "UAV" ], "auto_exclude_reason": null, "screening_status": "pending_human_screening", "screened_by": "auto-v1.0.0" }, { "id": "doi:10.4018/979-8-3693-8532-6.ch016", "doi": "10.4018/979-8-3693-8532-6.ch016", "title": "Drone Integration in Vehicle Routing", "year": 2025, "authors": [ "Tejinder Singh Lakhwani", "Anuj Pal Kapoor", "Yerasani Sinjana" ], "first_author": "Tejinder Singh Lakhwani", "venue": "Advances in environmental engineering and green technologies book series", "volume": null, "pages": "371-415", "type": "book-chapter", "language": "en", "abstract": "This chapter examines the integration of drones into Vehicle Routing Problems (VRPs) and their impact on e-commerce and urban logistics. It highlights the benefits of drone delivery, focusing on last-mile logistics, with advantages such as reduced delivery times, cost-effectiveness, and expanded regional coverage. Drones also support environmental sustainability by lowering carbon emissions and promoting energy-efficient operations, aligning with ecological goals. The chapter reviews advancements in technology, optimization models, and routing techniques that enhance drone utility in congested urban areas. However, successful adoption faces challenges, including technical issues, security risks, public acceptance, and legal constraints. By analyzing these limitations, the chapter provides an overview of the current state of drone delivery in VRPs and offers practical recommendations to address these barriers, enabling improved integration of drones into urban logistics while advancing sustainability and reducing environmental impacts.", "keywords": [ "Drone", "Computer science", "Biology" ], "cited_by_openalex": 0, "cited_by_scopus": "1", "eid": "2-s2.0-105005476399", "pii": null, "open_access_url": "https://doi.org/10.4018/979-8-3693-8532-6.ch016", "sources": [ { "db": "openalex", "stream": "UAV", "query_id": "UAV-1" }, { "db": "openalex", "stream": "UAV", "query_id": "UAV-2" }, { "db": "scopus", "stream": "UAV", "query_id": "UAV-1" }, { "db": "scopus", "stream": "UAV", "query_id": "UAV-2" } ], "streams": [ "UAV" ], "relevance_signals": [ "UAV" ], "auto_exclude_reason": null, "screening_status": "pending_human_screening", "screened_by": "auto-v1.0.0" }, { "id": "doi:10.71086/iajse/v12i3/iajse1230", "doi": "10.71086/iajse/v12i3/iajse1230", "title": "Optimizing Urban Delivery Systems with Innovative Drone Technology for Sustainability", "year": 2025, "authors": [ "Dr. Kamlesh Kumar Yadav", "Manish Nandy" ], "first_author": "Dr. Kamlesh Kumar Yadav", "venue": "International Academic Journal of Science and Engineering", "volume": "12", "pages": "90-98", "type": "article", "language": null, "abstract": "The article focuses on the optimization of city logistics using the assistance of drone-delivery solutions on the last mile. The growing pressure to implement efficient and effective delivery systems in the urban centers has shown that there is a need to embrace innovative logistics approaches. This research provides the solution to traffic congestion, delays during the delivery process, and other environmental problems by uniting the use of unmanned aerial vehicles (UAVs). The research will be conducted based on a mixed-method design where the simulation models will be applied in conjunction with the actual case studies to calculate the impacts of the drone application on the time spent on delivery, fuel consumption amounted to, and carbon emissions. The findings indicate that the benefits are enormous considering that the delivery time will be reduced by 40 (75 minutes to 45 minutes) and there will be less fuel consumption by 75 (40 liters to 10 liters) compared to the traditional processes. In addition, the carbon emission was also switch to 72 percent (18 kg CO 2 to 5 kg CO 2) which also saved the total cost of operations by 58 percent. The effect of the distance of the package delivery, the weight of the package and urban infrastructure on the use of drone delivery are also studied in the paper. The results identify the potential of drones to enhance urban mobility, urban sustainability, and cost-efficiency of logistics. The results are applicable to the existing literature on sustainable urban logistics and may be applied to educate policymakers, logistic businesses, and urban planners. The paper concludes by providing recommendations on how the drone delivery systems can be integrated into the already established urban logistics systems to make the operations more sustainable and efficient.", "keywords": [ "Drone", "Sustainability", "City logistics", "Fuel efficiency", "Consumption (sociology)", "Urban sustainability" ], "cited_by_openalex": 0, "cited_by_scopus": "1", "eid": "2-s2.0-105033364406", "pii": null, "open_access_url": "https://iaiest.com/iaj/index.php/IAJSE/article/download/1847/2499", "sources": [ { "db": "openalex", "stream": "UAV", "query_id": "UAV-1" }, { "db": "scopus", "stream": "UAV", "query_id": "UAV-1" } ], "streams": [ "UAV" ], "relevance_signals": [ "UAV" ], "auto_exclude_reason": null, "screening_status": "pending_human_screening", "screened_by": "auto-v1.0.0" }, { "id": "doi:10.3934/math.2025486", "doi": "10.3934/math.2025486", "title": "Optimizing decision precision with linguistic Pythagorean fuzzy Dombi models", "year": 2025, "authors": [ "Asima Razzaque", "Umme Kalsoom", "Dilshad Alghazzawi", "Abdul Razaq", "Ghaliah Alhamzi" ], "first_author": "Asima Razzaque", "venue": "AIMS Mathematics", "volume": "10", "pages": "10675-10708", "type": "article", "language": "en", "abstract": "Last-mile distribution is a subject that has drawn significant attention from both academic and industry researchers. There are several reasons for the adoption of drone delivery technology, including the growing number of customers who want more flexible and faster delivery options. Currently, there is a large selection of these models on the market. Therefore, there is a need to develop efficient methods to select the most appropriate drone delivery service. This research employs Dombi aggregation operators (AOs) within the context of linguistic Pythagorean fuzzy sets (LPFS) to tackle issues in drone delivery operations. The incorporation of linguistic concepts within the Pythagorean fuzzy framework improves the precision and dependability of delivery data analysis by providing a more thorough representation of uncertainty, consistent with human intuition and qualitative assessments. The present study presents two novel aggregation operators: the linguistic Pythagorean fuzzy Dombi weighted averaging (LPFDWA) and the linguistic Pythagorean fuzzy Dombi weighted geometric (LPFDWG) operators. Essential structural characteristics of these operators are demonstrated, and important particular cases are described. Furthermore, we developed a systematic approach for handling multi-attribute decision-making issues that incorporate LPF data through the use of the suggested operators. In order to showcase the effectiveness of the developed approaches, we provide a numerical illustration that identifies the top drone delivery service. Finally, we execute an in-depth comparative assessment to evaluate the efficacy of the proposed methods in relation to several established procedures.", "keywords": [ "Pythagorean theorem", "Fuzzy logic", "Computer science", "Linguistics", "Artificial intelligence", "Natural language processing", "Management science", "Mathematics", "Economics", "Philosophy" ], "cited_by_openalex": 1, "cited_by_scopus": "1", "eid": "2-s2.0-105006690523", "pii": null, "open_access_url": "http://www.aimspress.com/aimspress-data/math/2025/5/PDF/math-10-05-486.pdf", "sources": [ { "db": "openalex", "stream": "UAV", "query_id": "UAV-1" }, { "db": "scopus", "stream": "UAV", "query_id": "UAV-1" } ], "streams": [ "UAV" ], "relevance_signals": [ "UAV" ], "auto_exclude_reason": null, "screening_status": "pending_human_screening", "screened_by": "auto-v1.0.0" }, { "id": "doi:10.16356/j.1005-2615.2025.06.001", "doi": "10.16356/j.1005-2615.2025.06.001", "title": "Review on Logistics Air Route Planning Methods for Unmanned Aerial Vehicles in Urban Environments", "year": 2025, "authors": [ "ZHAO Yifei", "LI Zhongming", "Ren Xinhui" ], "first_author": "ZHAO Yifei", "venue": "DOAJ (DOAJ: Directory of Open Access Journals)", "volume": "57", "pages": "1013-1025", "type": "article", "language": "zh", "abstract": "With the rapid development of urban logistics unmanned aerial vehicle （UAV） transportation， multirotor UAVs， due to their vertical take-off and landing capability and agile maneuverability， have formed air route networks with wide coverage and diverse operational modes in many cities. However， urban low-altitude airspace is constrained by high-rise buildings， complex terrain， and dynamic wind fields. It also faces practical challenges such as communication interruptions and low public acceptance. These factors make scientific air route planning a key component for ensuring operational safety and efficiency. First， this study reviews the air route design schemes of major domestic operators. It extracts the basic characteristics of the spatial layout and the sequential connection of functional segments within logistics air routes， and defines a parameterized structural model for logistics air routes. Second， through a literature review， this study summarizes the key factors influencing air route planning， including ground impact risk， weather conditions， public acceptance， and infrastructure. It also examines the main planning methods for en-route air routes and departure/arrival air routes， together with their applicability， advantages， and disadvantages. Third， the study develops an integrated logistics air route planning framework. This framework includes airspace， air routes， and air route networks， covering both en-route air routes and departure/arrival air routes. The findings of this study provide methodological guidance for future theoretical research and practical operations.", "keywords": [ "Route planning", "Key (lock)", "Component (thermodynamics)", "Agile software development", "Air transport", "Multirotor", "Air traffic control" ], "cited_by_openalex": 0, "cited_by_scopus": "1", "eid": "2-s2.0-105031069219", "pii": null, "open_access_url": "https://doaj.org/article/0201b77ca1384aada23d114bc316dac8", "sources": [ { "db": "openalex", "stream": "UAV", "query_id": "UAV-1" }, { "db": "scopus", "stream": "UAV", "query_id": "UAV-1" } ], "streams": [ "UAV" ], "relevance_signals": [ "UAV" ], "auto_exclude_reason": "EC-4", "screening_status": "auto_excluded", "screened_by": "auto-v1.0.0" }, { "id": "doi:10.1007/978-3-031-95489-4_12", "doi": "10.1007/978-3-031-95489-4_12", "title": "Reinforcement Learning Application for Controlling a Quadcopter Carrying a Slung Payload", "year": 2025, "authors": [ "Nourah Al Saud", "Eric Lanteigne" ], "first_author": "Nourah Al Saud", "venue": "Mechanisms and machine science", "volume": "184", "pages": "143-165", "type": "conference-paper", "language": "en", "abstract": null, "keywords": [ "Quadcopter", "Payload (computing)", "Reinforcement learning", "Reinforcement", "Computer science", "Engineering", "Artificial intelligence", "Aerospace engineering", "Structural engineering", "Computer security", "Network packet" ], "cited_by_openalex": 1, "cited_by_scopus": "1", "eid": "2-s2.0-105010207639", "pii": null, "open_access_url": "https://doi.org/10.1007/978-3-031-95489-4_12", "sources": [ { "db": "openalex", "stream": "UAV", "query_id": "UAV-1" }, { "db": "scopus", "stream": "UAV", "query_id": "UAV-1" } ], "streams": [ "UAV" ], "relevance_signals": [ "NO_TECHNOLOGY_MATCH" ], "auto_exclude_reason": "EC-4-topic", "screening_status": "auto_excluded", "screened_by": "auto-v1.0.0" }, { "id": "doi:10.1016/j.ress.2025.111233", "doi": "10.1016/j.ress.2025.111233", "title": "Corrigendum to “Dynamic UAV trajectory optimisation for parcel delivery with integrated third-party risk mitigation” [Reliability Engineering & System Safety (2025) 111178]", "year": 2025, "authors": [ "Enrique Aldao", "Fernando Veiga-López", "Caroline Ponzoni Carvalho Chanel", "Yoko Watanabe", "H. González-Jorge" ], "first_author": "Enrique Aldao", "venue": "Reliability Engineering & System Safety", "volume": "262", "pages": null, "type": "erratum", "language": "en", "abstract": null, "keywords": [ "Reliability (semiconductor)", "Trajectory", "Reliability engineering", "Computer science", "Risk analysis (engineering)", "Engineering", "Business", "Physics" ], "cited_by_openalex": 0, "cited_by_scopus": "1", "eid": "2-s2.0-105004916632", "pii": "S095183202500434X", "open_access_url": "https://doi.org/10.1016/j.ress.2025.111233", "sources": [ { "db": "openalex", "stream": "UAV", "query_id": "UAV-1" }, { "db": "scopus", "stream": "UAV", "query_id": "UAV-1" } ], "streams": [ "UAV" ], "relevance_signals": [ "UAV" ], "auto_exclude_reason": null, "screening_status": "pending_human_screening", "screened_by": "auto-v1.0.0" }, { "id": "doi:10.48550/arxiv.2504.21583", "doi": "10.48550/arxiv.2504.21583", "title": "Toward Realization of Low-Altitude Economy Networks: Core Architecture, Integrated Technologies, and Future Directions", "year": 2025, "authors": [ "Yixian Wang", "Geng Sun", "Zemin Sun", "Jiacheng Wang", "Jiahui Li", "Changyuan Zhao", "Wu Jing", "Shuang Liang", "Minghao Yin", "Pengfei Wang", "Dusit Tao Niyato", "Sumei Sun", "Dong In Kim" ], "first_author": "Yixian Wang", "venue": "arXiv (Cornell University)", "volume": null, "pages": null, "type": "preprint", "language": "en", "abstract": "The rise of the low-altitude economy (LAE) is propelling urban development and emerging industries by integrating advanced technologies to enhance efficiency, safety, and sustainability in low-altitude operations. The widespread adoption of unmanned aerial vehicles (UAVs) and electric vertical takeoff and landing (eVTOL) aircraft plays a crucial role in enabling key applications within LAE, such as urban logistics, emergency rescue, and aerial mobility. However, unlike traditional UAV networks, LAE networks encounter increased airspace management demands due to dense flying nodes and potential interference with ground communication systems. In addition, there are heightened and extended security risks in real-time operations, particularly the vulnerability of low-altitude aircraft to cyberattacks from ground-based threats. To address these, this paper first explores related standards and core architecture that support the development of LAE networks. Subsequently, we highlight the integration of technologies such as communication, sensing, computing, positioning, navigation, surveillance, flight control, and airspace management. This synergy of multi-technology drives the advancement of real-world LAE applications, particularly in improving operational efficiency, optimizing airspace usage, and ensuring safety. Finally, we outline future research directions for LAE networks, such as intelligent and adaptive optimization, security and privacy protection, sustainable energy and power management, quantum-driven coordination, generative governance, and three-dimensional (3D) airspace coverage, which collectively underscore the potential of collaborative technologies to advance LAE networks.", "keywords": [ "Key (lock)", "Takeoff", "Vulnerability (computing)", "Core (optical fiber)", "Emerging technologies", "Sustainability", "Drone" ], "cited_by_openalex": 1, "cited_by_scopus": 0, "eid": null, "pii": null, "open_access_url": "https://arxiv.org/pdf/2504.21583", "sources": [ { "db": "openalex", "stream": "UAV", "query_id": "UAV-1" } ], "streams": [ "UAV" ], "relevance_signals": [ "UAV" ], "auto_exclude_reason": null, "screening_status": "pending_human_screening", "screened_by": "auto-v1.0.0" }, { "id": "doi:10.1108/aeat-05-2025-0168", "doi": "10.1108/aeat-05-2025-0168", "title": "Design, manufacture and testing of a low-cost tilt-rotor UAV: a practical development case", "year": 2025, "authors": [ "Jose Cordova", "Diana Hernández-Alcantara", "Luis Arturo Reyes", "Luis Amézquita-Brooks" ], "first_author": "Jose Cordova", "venue": "Aircraft Engineering and Aerospace Technology", "volume": null, "pages": null, "type": "article", "language": "en", "abstract": "Purpose Unmanned aerial vehicles (UAVs) with vertical takeoff and landing (VTOL) capability are increasingly being used for parcel delivery, especially in areas lacking transport infrastructure. However, VTOL design presents distinct practical challenges. The purpose of this work is to present an accessible, low-cost design methodology for VTOL UAVs, addressing key technical hurdles relevant to resource-limited contexts. Design/methodology/approach This article details the design, prototyping and initial flight validation of a small VTOL-UAV for parcel delivery missions. The approach integrates accessible design tools, evolutionary optimization methods for aerodynamic refinement and rapid prototyping using digital manufacturing and commercial off-the-shelf components. Experimental ground and flight tests were performed to evaluate design decisions and validate key assumptions. Findings Early flight testing demonstrated that accurate weight prediction and propulsion system modeling are critical to avoiding operational bottlenecks such as insufficient payload capacity or throttle saturation. The prototype achieved stable, functional flight, supporting the validity of the design approach and identifying areas for further improvement. Social implications The methodology supports the development of UAV solutions for aerial delivery in underserved rural regions, especially where conventional infrastructure is lacking or impractical. Originality/value This study provides a comprehensive workflow for addressing practical design and manufacturing challenges in affordable VTOL UAVs. It offers guidance to practitioners and researchers by transparently integrating accessible tools and low-cost components.", "keywords": [ "Key (lock)", "Workflow", "Payload (computing)", "Takeoff and landing", "Takeoff", "Rapid prototyping", "Drone", "Work (physics)", "Model-based design" ], "cited_by_openalex": 0, "cited_by_scopus": "1", "eid": "2-s2.0-105015993830", "pii": null, "open_access_url": "https://doi.org/10.1108/aeat-05-2025-0168", "sources": [ { "db": "openalex", "stream": "UAV", "query_id": "UAV-1" }, { "db": "openalex", "stream": "UAV", "query_id": "UAV-3" }, { "db": "scopus", "stream": "UAV", "query_id": "UAV-1" }, { "db": "scopus", "stream": "UAV", "query_id": "UAV-3" } ], "streams": [ "UAV" ], "relevance_signals": [ "UAV" ], "auto_exclude_reason": null, "screening_status": "pending_human_screening", "screened_by": "auto-v1.0.0" }, { "id": "doi:10.1109/tsmc.2025.3623697", "doi": "10.1109/tsmc.2025.3623697", "title": "The Cooperative Vehicle Routing Problem With Drones", "year": 2025, "authors": [ "Jie Jiang", "Ying Dai", "Fei Yang", "Ruijuan Zhang", "Zujun Ma" ], "first_author": "Jie Jiang", "venue": "IEEE Transactions on Systems Man and Cybernetics Systems", "volume": "56", "pages": "292-306", "type": "article", "language": null, "abstract": "Given the sparse demands and poor traffic conditions, rural logistics is still challenging in providing efficient yet cost-effective pickup and delivery service. To realize cost reduction and efficiency enhancement, we study a novel cooperative vehicle routing problem with drones (CoVRPDs) to address operational optimization and cost allocation among a coalition with multiple heterogeneous players and investigate how their heterogeneous operating modes (i.e., operating in a truck-drone or truck-only mode) influence cooperation efficiency and cost sharing. This problem is formulated to formally represent highly interactive and complex decisions, including online participation choice, customer assignment among copartners, and collaborative truck-drone routing scheduling involving vehicle matching, intersection scheduling, and transshipment management. To tackle this, we customize an adaptive neighborhood search metaheuristic by introducing a series of customer-level and route-level destroy and repair operators to solve operational optimization efficiently, then apply both the Shapley value and the equal profit method for fair cost allocation. Then, numerical studies demonstrate that the emerging truck-drone delivery mode within a cooperative framework offers substantial economic advantages. From coalition partners, those utilizing a truck-drone delivery can significantly improve the coalition’s efficiency and thereby share smaller coalition costs, encouraging more partners to adopt an efficient truck-drone mode. Further insights on the coalition efficiency and cost allocation are also offered.", "keywords": [ "Shapley value", "Vehicle routing problem", "Scheduling (production processes)", "Transshipment (information security)", "Bilevel optimization", "Profit (economics)", "Drone", "Metaheuristic", "Routing (electronic design automation)" ], "cited_by_openalex": 1, "cited_by_scopus": "1", "eid": "2-s2.0-105020713225", "pii": null, "open_access_url": "https://doi.org/10.1109/tsmc.2025.3623697", "sources": [ { "db": "openalex", "stream": "UAV", "query_id": "UAV-2" }, { "db": "scopus", "stream": "UAV", "query_id": "UAV-2" } ], "streams": [ "UAV" ], "relevance_signals": [ "UAV_NO_CTX", "TRUCK_NO_CTX" ], "auto_exclude_reason": "EC-4-topic", "screening_status": "auto_excluded", "screened_by": "auto-v1.0.0" }, { "id": "doi:10.23919/jsee.2025.000091", "doi": "10.23919/jsee.2025.000091", "title": "Two-Phase Heuristic for Vehicle Routing Problem with Drones in Multi-Trip and Multi-Drop Mode", "year": 2025, "authors": [ "Huawei Ma", "Xiaoxuan Hu", "Waiming Zhu" ], "first_author": "Huawei Ma", "venue": "Journal of Systems Engineering and Electronics", "volume": null, "pages": null, "type": "article", "language": "en", "abstract": "As commercial drone delivery becomes increasingly popular, the extension of the vehicle routing problem with drones (VRPD) is emerging as an optimization problem of interests. This paper studies a variant of VRPD in multi-trip and multidrop (VRP-mmD). The problem aims at making schedules for the trucks and drones such that the total travel time is minimized. This paper formulate the problem with a mixed integer programming model and propose a two-phase algorithm, i.e., a parallel route construction heuristic (PRCH) for the first phase and an adaptive neighbor searching heuristic (ANSH) for the second phase. The PRCH generates an initial solution by concurrently assigning as many nodes as possible to the truck-drone pair to progressively reduce the waiting time at the rendezvous node in the first phase. Then the ANSH improves the initial solution by adaptively exploring the neighborhoods in the second phase. Numerical tests on some benchmark data are conducted to verify the performance of the algorithm. The results show that the proposed algorithm can found better solutions than some state-of-the-art methods for all instances. Moreover, an extensive analysis highlights the stability of the proposed algorithm.", "keywords": [ "Benchmark (surveying)", "Drone", "Heuristic", "Routing (electronic design automation)", "Integer programming", "Vehicle routing problem", "Stability (learning theory)", "Node (physics)" ], "cited_by_openalex": 1, "cited_by_scopus": 0, "eid": null, "pii": null, "open_access_url": "https://doi.org/10.23919/jsee.2025.000091", "sources": [ { "db": "openalex", "stream": "UAV", "query_id": "UAV-2" } ], "streams": [ "UAV" ], "relevance_signals": [ "UAV_NO_CTX", "TRUCK_NO_CTX" ], "auto_exclude_reason": "EC-4-topic", "screening_status": "auto_excluded", "screened_by": "auto-v1.0.0" }, { "id": "doi:10.2139/ssrn.5077473", "doi": "10.2139/ssrn.5077473", "title": "An Exact Algorithm to Solve Vehicle Routing Problem with Drones for Delivery and Surveillance Tasks after Disasters", "year": 2025, "authors": [ "Wenbo Sun", "Lingxiao Wu", "Fangni Zhang" ], "first_author": "Wenbo Sun", "venue": "SSRN Electronic Journal", "volume": null, "pages": null, "type": "preprint", "language": "en", "abstract": null, "keywords": [ "Drone", "Vehicle routing problem", "Routing (electronic design automation)", "Computer science", "Routing algorithm", "Computer security", "Operations research", "Engineering", "Computer network", "Routing protocol" ], "cited_by_openalex": 1, "cited_by_scopus": 0, "eid": null, "pii": null, "open_access_url": "https://doi.org/10.2139/ssrn.5077473", "sources": [ { "db": "openalex", "stream": "UAV", "query_id": "UAV-2" } ], "streams": [ "UAV" ], "relevance_signals": [ "UAV_NO_CTX" ], "auto_exclude_reason": "EC-4-topic", "screening_status": "auto_excluded", "screened_by": "auto-v1.0.0" }, { "id": "doi:10.1287/ijoc.2023.0484.cd", "doi": "10.1287/ijoc.2023.0484.cd", "title": "Code and Data Repository for A Branch-and-Price Algorithm for Robust Drone-Vehicle Routing Problem with Time Windows", "year": 2025, "authors": [ "Jaegwan Joo", "Chungmok Lee" ], "first_author": "Jaegwan Joo", "venue": "INFORMS journal on computing", "volume": null, "pages": null, "type": "article", "language": "en", "abstract": "The goal of this repository is to share data and results related to the Robust Drone-Vehicle Routing Problem with Time Windows (RDVRRPTW), solved using our solution approaches.", "keywords": [ "Drone", "Vehicle routing problem", "Computer science", "Code (set theory)", "Parallel computing", "Routing (electronic design automation)", "Algorithm", "Programming language", "Computer network" ], "cited_by_openalex": 1, "cited_by_scopus": 0, "eid": null, "pii": null, "open_access_url": "https://doi.org/10.1287/ijoc.2023.0484.cd", "sources": [ { "db": "openalex", "stream": "UAV", "query_id": "UAV-2" } ], "streams": [ "UAV" ], "relevance_signals": [ "UAV_NO_CTX" ], "auto_exclude_reason": "EC-4-topic", "screening_status": "auto_excluded", "screened_by": "auto-v1.0.0" }, { "id": "doi:10.3390/wevj16110612", "doi": "10.3390/wevj16110612", "title": "Adaptive Large Neighborhood Search for a Flexible Truck–Drone Routing Problem with Multi-Visit and Cost Trade-Offs", "year": 2025, "authors": [ "Jiang Bian", "Rui Zhou", "Qingbin Meng" ], "first_author": "Jiang Bian", "venue": "World Electric Vehicle Journal", "volume": "16", "pages": null, "type": "article", "language": "en", "abstract": "Extending the truck–drone mothership system, this paper addresses a flexible multi-visit truck and drone joint routing problem (FMTDJRP). A mixed integer linear program is proposed to minimize total travel cost. An adaptive large neighborhood search with a knowledge-based acceleration strategy yields near-optimal solutions. Experiments across varied customer distributions, drone specs, and truck-–drone cost ratios confirm flexibility, adaptability, and cost efficiency.", "keywords": [ "Drone", "Routing (electronic design automation)", "Integer programming", "Vehicle routing problem", "Truck", "Linear programming", "Acceleration", "Joint (building)" ], "cited_by_openalex": 1, "cited_by_scopus": "1", "eid": "2-s2.0-105023059033", "pii": null, "open_access_url": "https://www.mdpi.com/2032-6653/16/11/612/pdf?version=1762517089", "sources": [ { "db": "openalex", "stream": "UAV", "query_id": "UAV-2" }, { "db": "scopus", "stream": "TRUCK", "query_id": "TRUCK-1" }, { "db": "scopus", "stream": "UAV", "query_id": "UAV-1" }, { "db": "scopus", "stream": "UAV", "query_id": "UAV-2" } ], "streams": [ "TRUCK", "UAV" ], "relevance_signals": [ "UAV_NO_CTX", "TRUCK_NO_CTX" ], "auto_exclude_reason": "EC-4-topic", "screening_status": "auto_excluded", "screened_by": "auto-v1.0.0" }, { "id": "doi:10.1109/tits.2025.3646969", "doi": "10.1109/tits.2025.3646969", "title": "A Dynamic Unmanned Aerial Vehicle Routing Framework for Urban Traffic Monitoring", "year": 2025, "authors": [ "Yumeng Bai", "Yiheng Feng" ], "first_author": "Yumeng Bai", "venue": "IEEE Transactions on Intelligent Transportation Systems", "volume": "27", "pages": "11762-11777", "type": "article", "language": null, "abstract": "Unmanned Aerial Vehicles (UAVs) have great potential in urban traffic monitoring. However, their limited flight duration presents critical challenges in sustainable recharging strategies and efficient route planning in long-term monitoring tasks. Additionally, existing approaches for long-term monitoring often neglect the dynamic and evolving nature of urban traffic networks. In this study, we introduce a novel dynamic UAV routing framework for long-term, network-wide urban traffic monitoring, leveraging existing ground vehicles (GVs), such as public transit buses, as mobile charging stations without disrupting their operations. To address the complexity of long-term monitoring scenarios involving multiple flights, we decompose the problem into manageable single-flight tasks, in which each flight is modeled as a Team Arc Orienteering Problem with Decreasing Profits (TAOP-DP) with the objective to collectively maximize the spatiotemporal network coverage. Between flights, we adaptively update the edge weights to incorporate real-time traffic changes and revisit intervals. We validate our framework through extensive microscopic simulations in a modified Sioux Falls network under various scenarios, including static and changing demand levels and varying historical information availability. Comparative results demonstrate that our model outperforms three baseline approaches, especially when historical information is incomplete or absent. The scalability and generalizability of the framework are further validated through a portion of the Manhattan network with real world probe vehicle data. Moreover, we show that the proposed monitoring framework can capture network-wide traffic trends and construct accurate Macroscopic Fundamental Diagrams (MFDs), which highlights its potential in network-wide traffic control and management applications.", "keywords": [ "Scalability", "Routing (electronic design automation)", "Benchmark (surveying)", "Enhanced Data Rates for GSM Evolution", "Baseline (sea)", "Traffic flow (computer networking)", "Public transport", "Resilience (materials science)", "Traffic generation model" ], "cited_by_openalex": 6, "cited_by_scopus": "1", "eid": "2-s2.0-105026278196", "pii": null, "open_access_url": "https://doi.org/10.1109/tits.2025.3646969", "sources": [ { "db": "openalex", "stream": "UAV", "query_id": "UAV-2" }, { "db": "scopus", "stream": "UAV", "query_id": "UAV-2" } ], "streams": [ "UAV" ], "relevance_signals": [ "UAV_NO_CTX" ], "auto_exclude_reason": "EC-4-topic", "screening_status": "auto_excluded", "screened_by": "auto-v1.0.0" }, { "id": "doi:10.48550/arxiv.2501.18432", "doi": "10.48550/arxiv.2501.18432", "title": "Solving Drone Routing Problems with Quantum Computing: A Hybrid Approach Combining Quantum Annealing and Gate-Based Paradigms", "year": 2025, "authors": [ "Eneko Osaba", "Pablo Miranda-Rodriguez", "Andreas Oikonomakis", "Matic Petrič", "Ruiz, Alejandra", "Sebastian Böck", "Michail‐Alexandros Kourtis" ], "first_author": "Eneko Osaba", "venue": "arXiv (Cornell University)", "volume": null, "pages": null, "type": "preprint", "language": "en", "abstract": "This paper presents a novel hybrid approach to solving real-world drone routing problems by leveraging the capabilities of quantum computing. The proposed method, coined Quantum for Drone Routing (Q4DR), integrates the two most prominent paradigms in the field: quantum gate-based computing, through the Eclipse Qrisp programming language; and quantum annealers, by means of D-Wave System's devices. The algorithm is divided into two different phases: an initial clustering phase executed using a Quantum Approximate Optimization Algorithm (QAOA), and a routing phase employing quantum annealers. The efficacy of Q4DR is demonstrated through three use cases of increasing complexity, each incorporating real-world constraints such as asymmetric costs, forbidden paths, and itinerant charging points. This research contributes to the growing body of work in quantum optimization, showcasing the practical applications of quantum computing in logistics and route planning.", "keywords": [ "Quantum annealing", "Drone", "Quantum computer", "Computer science", "Simulated annealing", "Routing (electronic design automation)", "Quantum", "Distributed computing", "Theoretical computer science", "Computer network", "Algorithm", "Physics" ], "cited_by_openalex": 1, "cited_by_scopus": 0, "eid": null, "pii": null, "open_access_url": "https://arxiv.org/pdf/2501.18432", "sources": [ { "db": "openalex", "stream": "UAV", "query_id": "UAV-2" } ], "streams": [ "UAV" ], "relevance_signals": [ "UAV_NO_CTX" ], "auto_exclude_reason": "EC-4-topic", "screening_status": "auto_excluded", "screened_by": "auto-v1.0.0" }, { "id": "doi:10.21203/rs.3.rs-8221874/v1", "doi": "10.21203/rs.3.rs-8221874/v1", "title": "Research on Location-Routing Problem for Logistics UAVs Based on Bi-layer Programming", "year": 2025, "authors": [ "Jiangao Zhang", "Suyin Cui", "Pei Zhu", "Liya Wang", "Zhi Sun", "Quan Shao" ], "first_author": "Jiangao Zhang", "venue": "Research Square", "volume": null, "pages": null, "type": "preprint", "language": null, "abstract": null, "keywords": [ "Adaptability", "Robustness (evolution)", "Scalability", "Benchmark (surveying)", "Drone", "Key (lock)", "Path (computing)", "Flexibility (engineering)", "Range (aeronautics)" ], "cited_by_openalex": 1, "cited_by_scopus": 0, "eid": null, "pii": null, "open_access_url": "https://www.researchsquare.com/article/rs-8221874/latest.pdf", "sources": [ { "db": "openalex", "stream": "UAV", "query_id": "UAV-2" }, { "db": "openalex", "stream": "UAV", "query_id": "UAV-3" } ], "streams": [ "UAV" ], "relevance_signals": [ "UAV_NO_CTX" ], "auto_exclude_reason": "EC-4-topic", "screening_status": "auto_excluded", "screened_by": "auto-v1.0.0" }, { "id": "doi:10.5267/j.ijiec.2025.9.002", "doi": "10.5267/j.ijiec.2025.9.002", "title": "Minimizing customer waiting time in drone delivery systems: An optimization approach considering heterogeneous fleets and package setup time using modified coot algorithms", "year": 2025, "authors": [ "Murat Şahin" ], "first_author": "Murat Şahin", "venue": "International Journal of Industrial Engineering Computations", "volume": "17", "pages": "317-336", "type": "article", "language": null, "abstract": "This study addresses the drone delivery problem with a unique focus on minimizing total customer waiting times, considering the heterogeneous nature of drones and the setup times required for loading customer demands. Unlike traditional routing problems that prioritize cost and route optimization, this research emphasizes timely deliveries, which are critical in both commercial and humanitarian applications. The study introduces two mathematical models and four versions of the coot optimization algorithm, including three modified variants and one classical version. These algorithms incorporate new movement mechanisms, enhanced leader selection strategies, and adaptations of the regenerating strategy to efficiently solve the drone delivery problem. Computational experiments reveal that one modified coot optimization algorithm significantly outperforms the classical version, offering valuable insights into both coot optimization literature and the drone delivery problem. By emphasizing the importance of timely deliveries, this research provides effective solution strategies applicable to both commercial and humanitarian contexts.", "keywords": [ "Drone", "Optimization problem", "Vehicle routing problem", "Selection (genetic algorithm)", "Routing (electronic design automation)", "Optimization algorithm" ], "cited_by_openalex": 2, "cited_by_scopus": "1", "eid": "2-s2.0-105027119396", "pii": null, "open_access_url": "https://doi.org/10.5267/j.ijiec.2025.9.002", "sources": [ { "db": "openalex", "stream": "UAV", "query_id": "UAV-2" }, { "db": "scopus", "stream": "UAV", "query_id": "UAV-2" } ], "streams": [ "UAV" ], "relevance_signals": [ "UAV_NO_CTX" ], "auto_exclude_reason": "EC-4-topic", "screening_status": "auto_excluded", "screened_by": "auto-v1.0.0" }, { "id": "doi:10.48550/arxiv.2501.14325", "doi": "10.48550/arxiv.2501.14325", "title": "Joint Infrastructure Planning and Order Assignment for On-Demand Food-Delivery Services with Coordinated Drones and Human Couriers", "year": 2025, "authors": [ "Liu, Yang", "Yitong Shang", "Sen Li" ], "first_author": "Liu, Yang", "venue": "arXiv (Cornell University)", "volume": null, "pages": null, "type": "preprint", "language": "en", "abstract": "This paper investigates the optimal infrastructure planning and order assignment problem of an on-demand food-delivery platform with a mixed fleet of drones and human couriers. The platform has two delivery modes: (a) ground delivery and (b) drone-assisted delivery (i.e., air delivery). In ground delivery, couriers directly collect and transport orders from restaurants to destinations. For air delivery, the delivery process involves three legs: initially, a human courier picks up the order from the restaurant and transports it to a nearby launchpad, where personnel load the orders onto drones and replace batteries as needed. The loaded drone then transports the order from the launchpad to a kiosk, where another courier retrieves the order from the kiosk for final delivery. The platform must determine the optimal locations for launchpads and kiosks within a transportation network, and devise an order assignment strategy that allocates food-delivery orders between ground and air delivery considering the bundling probabilities of ground deliveries and the waiting times at launchpads and kiosks. We formulate the platform's problem as a mixed-integer nonlinear program and develop a novel neural network-assisted optimization method to obtain high-quality solutions. A case study in Hong Kong validates our model and algorithm, revealing that drone delivery reduces operational costs, minimizes courier fleet size, and increases order bundling opportunities. We also find that the expansion of air delivery services may entail larger delivery times due to the trade-off between the travel time savings induced by the faster air delivery and the associated detours incurred by intermodal transfer and extra waiting times at launchpads and kiosks, which crucially depends on the distance of the orders and the sequence of activating long-distance air delivery routes versus short-distance ones.", "keywords": [ "Drone", "Joint (building)", "Order (exchange)", "Business", "Food delivery", "Operations research", "Computer science", "Engineering", "Marketing", "Finance", "Civil engineering", "Biology" ], "cited_by_openalex": 1, "cited_by_scopus": 0, "eid": null, "pii": null, "open_access_url": "https://arxiv.org/pdf/2501.14325", "sources": [ { "db": "openalex", "stream": "UAV", "query_id": "UAV-2" } ], "streams": [ "UAV" ], "relevance_signals": [ "UAV" ], "auto_exclude_reason": null, "screening_status": "pending_human_screening", "screened_by": "auto-v1.0.0" }, { "id": "doi:10.2139/ssrn.5102713", "doi": "10.2139/ssrn.5102713", "title": "Mixed Inspection Mission Based Multi-Depot Uav Swarm Routing Problem in Transmission Line: Milp Formulation and Efficient Metaheuristic", "year": 2025, "authors": [ "Xiaohui Li", "Yuchen LIU", "Lu Zhang", "Yi Zhao", "Yuan Dong", "Yinli Jin" ], "first_author": "Xiaohui Li", "venue": "SSRN Electronic Journal", "volume": null, "pages": null, "type": "preprint", "language": "en", "abstract": null, "keywords": [ "Metaheuristic", "Swarm behaviour", "Computer science", "Routing (electronic design automation)", "Vehicle routing problem", "Mathematical optimization", "Line (geometry)", "Transmission (telecommunications)", "Operations research", "Engineering", "Computer network", "Artificial intelligence" ], "cited_by_openalex": 1, "cited_by_scopus": 0, "eid": null, "pii": null, "open_access_url": "https://doi.org/10.2139/ssrn.5102713", "sources": [ { "db": "openalex", "stream": "UAV", "query_id": "UAV-2" } ], "streams": [ "UAV" ], "relevance_signals": [ "UAV_NO_CTX" ], "auto_exclude_reason": "EC-4-topic", "screening_status": "auto_excluded", "screened_by": "auto-v1.0.0" }, { "id": "doi:10.1109/rusautocon65989.2025.11177314", "doi": "10.1109/rusautocon65989.2025.11177314", "title": "Cluster Method of Optimal Vehicle Routing Using Geospatial Clustering", "year": 2025, "authors": [ "Alexander B. Filimonov", "Н. Б. Филимонов" ], "first_author": "Alexander B. Filimonov", "venue": "Rusautocon Proceedings of the International Russian Automation Conference", "volume": null, "pages": "1086-1091", "type": "conference-paper", "language": "en", "abstract": "The article considers one of the urgent and key problems of the transport industry related to the planning of routes for transport vehicles (TV). This problem can be described and formalized as the traveling salesman problem (TSP), which consists in finding the optimal route for a traveling salesman to visit all the specified cities once and then return to the source city. Multiple Traveling Salesman Problem (MTSP) allows more than one traveling salesman and more than one depot - their base location, where routes begin and end. TSP belongs to the class of NP-hard problems. One of the heuristic methods for its solving, which is described in this article, is based on geospatial clusterization of the initial set of cities. A two-stage CFRS (\"Cluster First - Route Second\") method for solving this problem is discussed, which allows reducing it to TSP family with a single depot. At the first stage, geospatial clusterization of cities is carried out and clusterization using the K-means method is used. At the second stage a single depot with vehicles designed to serve this cluster is selected for each cluster and routes to by bypass all cities in this cluster are built. As an example illustrating the effectiveness of the proposed solutions a numerical example of aviation logistics is considered - flight routing of multiple transport UAV with several depots based on them.", "keywords": [ "Travelling salesman problem", "Geospatial analysis", "Cluster analysis", "Heuristic", "Vehicle routing problem", "Set (abstract data type)", "Routing (electronic design automation)", "2-opt" ], "cited_by_openalex": 1, "cited_by_scopus": "1", "eid": "2-s2.0-105018743936", "pii": null, "open_access_url": "https://doi.org/10.1109/rusautocon65989.2025.11177314", "sources": [ { "db": "openalex", "stream": "UAV", "query_id": "UAV-2" }, { "db": "scopus", "stream": "UAV", "query_id": "UAV-2" } ], "streams": [ "UAV" ], "relevance_signals": [ "UAV_NO_CTX" ], "auto_exclude_reason": "EC-4-topic", "screening_status": "auto_excluded", "screened_by": "auto-v1.0.0" }, { "id": "doi:10.1007/s10696-024-09589-z", "doi": "10.1007/s10696-024-09589-z", "title": "An approximation algorithm for mobile multi-agent monitoring and routing problem", "year": 2025, "authors": [ "Gwang Kim", "Yoonjea Jeong" ], "first_author": "Gwang Kim", "venue": "Flexible Services and Manufacturing Journal", "volume": "38", "pages": "805-831", "type": "article", "language": "en", "abstract": null, "keywords": [ "Computer science", "Mathematical optimization", "Routing (electronic design automation)", "Heuristic", "Submodular set function", "Patrolling", "Process (computing)", "Maximization", "Artificial intelligence", "Mathematics" ], "cited_by_openalex": 1, "cited_by_scopus": "1", "eid": "2-s2.0-85217372642", "pii": null, "open_access_url": "https://doi.org/10.1007/s10696-024-09589-z", "sources": [ { "db": "openalex", "stream": "UAV", "query_id": "UAV-2" }, { "db": "scopus", "stream": "UAV", "query_id": "UAV-2" } ], "streams": [ "UAV" ], "relevance_signals": [ "NO_TECHNOLOGY_MATCH" ], "auto_exclude_reason": "EC-4-topic", "screening_status": "auto_excluded", "screened_by": "auto-v1.0.0" }, { "id": "doi:10.26650/jtl.2025.1607328", "doi": "10.26650/jtl.2025.1607328", "title": "Unmanned Aerial Vehicle Routing and Facility Location Selection for Healthcare Supply Chain Management: A Case Study in Türkiye", "year": 2025, "authors": [ "Mevlüt Evci", "Celal Özçelik", "Tarık Ataman", "Yıldız Köse" ], "first_author": "Mevlüt Evci", "venue": "Journal of Transportation and Logistics", "volume": null, "pages": null, "type": "article", "language": "en", "abstract": "Healthcare supply chain management is of great importance, particularly for hospitals. To manage medical supply chains quickly and effectively requires new and optimized logistics strategies. The use of an unmanned aerial vehicle (UAV) enables the swift delivery of medical supplies, overcoming obstacles like traffic, natural disasters, or infrastructure damage, and saving lives in critical situations. This study focuses on the distribution phase of emergency medical supply chains using electric UAVs, aiming to save lives during crises by establishing an efficient, technological, and sustainable transportation system in healthcare. The strategic locations of the charging stations, which can also serve as medical supply depots, and the optimal routes for the vehicles are integrated. Using Multi-Criteria Decision-Making (MCDM) techniques, specifically the AHP and TOPSIS methods, the optimal charging points for electric unmanned aerial vehicles are determined by considering various criteria. From these identified facilities, a multi-depot vehicle routing model was developed for supplying emergency medical supplies to hospitals, considering vehicle characteristics, hospital demand quantities, and facility capacities. This integrated methodology was applied to the province of Trabzon in Türkiye. Three different routes covering a total distance of 29.59 kilometres were generated to supply medical materials from five identified facilities to ten hospitals.", "keywords": [ "Supply chain management", "Health care", "Supply chain", "Business", "Selection (genetic algorithm)", "Vehicle routing problem", "Computer science", "Operations management", "Routing (electronic design automation)", "Engineering", "Marketing", "Artificial intelligence" ], "cited_by_openalex": 1, "cited_by_scopus": 0, "eid": null, "pii": null, "open_access_url": "https://cdn.istanbul.edu.tr/file/JTA6CLJ8T5/801DE56A73174C208123CAB3A3425FA0", "sources": [ { "db": "openalex", "stream": "UAV", "query_id": "UAV-2" } ], "streams": [ "UAV" ], "relevance_signals": [ "UAV_NO_CTX" ], "auto_exclude_reason": "EC-4-topic", "screening_status": "auto_excluded", "screened_by": "auto-v1.0.0" }, { "id": "doi:10.3390/sym17101758", "doi": "10.3390/sym17101758", "title": "An Efficient Task Scheduling Framework for Large-Scale 3D Reconstruction in Multi-UAV Edge-Intelligence Systems", "year": 2025, "authors": [ "Xia Yu", "Xueyong Xu", "Yuhang Xu", "An-Min Li", "Jinchen Wang", "Chenchen Fu", "Weiwei Wu" ], "first_author": "Xia Yu", "venue": "Symmetry", "volume": "17", "pages": null, "type": "article", "language": "en", "abstract": "With the rapid development of edge-intelligence systems, multi-UAV platforms have become vital for large-scale 3D reconstruction. However, efficient task scheduling remains a critical challenge due to constraints on UAV energy, communication range, and the need for balanced workload distribution. To address these issues, this paper presents a novel, centralized two-stage task scheduling framework. In the first stage, the framework partitions the target area into communication-feasible subregions by applying cell decomposition that accounts for no-fly zones and workload. It then models the subregion allocation as a Capacitated Vehicle Routing Problem (CVRP) with an added balancing constraint to optimize the traversal sequence for each operational sortie. In the second stage, a time-efficient, scan-based heuristic algorithm allocates viewpoints among UAVs to ensure workload balance, minimizing the mission completion time. Extensive simulations demonstrate that our proposed approach achieves superior performance in workload balance, path efficiency, and reconstruction quality. Overall, this work provides a scalable and energy-aware solution for centralized multi-UAV 3D reconstruction, highlighting an effective approach to ensure cooperation and efficiency in complex multi-agent systems.", "keywords": [ "Workload", "Scheduling (production processes)", "Scalability", "Task (project management)", "Tree traversal", "Job shop scheduling", "Bottleneck", "Critical path method" ], "cited_by_openalex": 2, "cited_by_scopus": "1", "eid": "2-s2.0-105020299116", "pii": null, "open_access_url": "https://www.mdpi.com/2073-8994/17/10/1758/pdf?version=1760688222", "sources": [ { "db": "openalex", "stream": "UAV", "query_id": "UAV-2" }, { "db": "scopus", "stream": "UAV", "query_id": "UAV-2" } ], "streams": [ "UAV" ], "relevance_signals": [ "UAV_NO_CTX" ], "auto_exclude_reason": "EC-4-topic", "screening_status": "auto_excluded", "screened_by": "auto-v1.0.0" }, { "id": "doi:10.1109/iscon65210.2025.11340847", "doi": "10.1109/iscon65210.2025.11340847", "title": "Fast Heuristics for Solving a Multi-Drone Integrated Constrained Electric Vehicle Routing Problem", "year": 2025, "authors": [ "Ritesh Kumari", "Prem Prakash Vuppuluri", "Chinmay Patvardhan" ], "first_author": "Ritesh Kumari", "venue": "2025 7th International Conference on Information Systems and Computer Networks Iscon 2025", "volume": null, "pages": null, "type": "conference-paper", "language": null, "abstract": null, "keywords": [ "Vehicle routing problem", "Heuristics", "Electric vehicle", "Routing (electronic design automation)", "Work (physics)", "Constraint (computer-aided design)" ], "cited_by_openalex": 0, "cited_by_scopus": "1", "eid": "2-s2.0-105033361502", "pii": null, "open_access_url": "https://doi.org/10.1109/iscon65210.2025.11340847", "sources": [ { "db": "openalex", "stream": "UAV", "query_id": "UAV-2" }, { "db": "scopus", "stream": "UAV", "query_id": "UAV-1" }, { "db": "scopus", "stream": "UAV", "query_id": "UAV-2" } ], "streams": [ "UAV" ], "relevance_signals": [ "UAV_NO_CTX" ], "auto_exclude_reason": "EC-4-topic", "screening_status": "auto_excluded", "screened_by": "auto-v1.0.0" }, { "id": "doi:10.1007/s10846-025-02266-9", "doi": "10.1007/s10846-025-02266-9", "title": "A Team Orienteering Problem with Zoning for Safe and Flexible Operations of UAVs in a Dynamic Environment", "year": 2025, "authors": [ "Casper Bak Pedersen", "Inkyung Sung", "Peter Nielsen" ], "first_author": "Casper Bak Pedersen", "venue": "Journal of Intelligent & Robotic Systems", "volume": "111", "pages": null, "type": "article", "language": "en", "abstract": "Abstract A Team Orienteering Problem (TOP) that seeks the most profitable routes for multiple players given limited travel time or length is one of the most relevant routing problems for service delivery by Unmanned Aerial Vehicles (UAVs) with limited battery or energy capacity. In this study, we propose a variant of the TOP, where an operational area for multiple UAVs is divided into non-overlapping zones and routes for UAVs are derived within the zones. Importantly, by allocating designated zones to each UAV, any update on a UAV’s route within its zone does not interfere with other UAVs’ routes. This aspect is critical for a service or a mission to be executed under a highly dynamic environment especially with limited communication between UAVs. The operational and practical benefits of applying the proposed solution approach are demonstrated by comparing it to a classic TOP solution in a simulation environment where a profit of visiting a location is uncertain.", "keywords": [ "Orienteering", "Zoning", "Computer science", "Engineering", "Geography", "Civil engineering", "Cartography" ], "cited_by_openalex": 1, "cited_by_scopus": "1", "eid": "2-s2.0-105005944839", "pii": null, "open_access_url": "https://link.springer.com/content/pdf/10.1007/s10846-025-02266-9.pdf", "sources": [ { "db": "openalex", "stream": "UAV", "query_id": "UAV-2" }, { "db": "scopus", "stream": "UAV", "query_id": "UAV-2" } ], "streams": [ "UAV" ], "relevance_signals": [ "UAV_NO_CTX" ], "auto_exclude_reason": "EC-4-topic", "screening_status": "auto_excluded", "screened_by": "auto-v1.0.0" }, { "id": "doi:10.15607/rss.2025.xxi.101", "doi": "10.15607/rss.2025.xxi.101", "title": "How to Coordinate UAVs and UGVs for Efficient Mission Planning? Optimizing Energy-Constrained Cooperative Routing with a DRL Framework", "year": 2025, "authors": [ "Mohammad Mondal", "R. Subramanian", "Pranav A. Bhounsule" ], "first_author": "Mohammad Mondal", "venue": null, "volume": null, "pages": null, "type": "conference-paper", "language": "en", "abstract": "Efficient mission planning for cooperative systems involving Unmanned Aerial Vehicles (UAVs) and Unmanned Ground Vehicles (UGVs) requires addressing energy constraints, scalability, and coordination challenges between agents.UAVs excel in rapidly covering large areas but are constrained by limited battery life, while UGVs, with their extended operational range and capability to serve as mobile recharging stations, are hindered by slower speeds.This heterogeneity makes coordination between UAVs and UGVs critical for achieving optimal mission outcomes.In this work, we propose a scalable deep reinforcement learning (DRL) framework to address the energyconstrained cooperative routing problem for multi-agent UAV-UGV teams, aiming to visit a set of task points in minimal time with UAVs relying on UGVs for recharging during the mission.The framework incorporates sortie-wise agent switching to efficiently manage multiple agents, by allocating task points and coordinating actions.Using an encoder-decoder transformer architecture, it optimizes routes and recharging rendezvous for the UAV-UGV team in the task scenario.Extensive computational experiments demonstrate the framework's superior performance over heuristic methods and a DRL baseline, delivering significant improvements in solution quality and runtime efficiency across diverse scenarios.Generalization studies validate its robustness, while dynamic scenario highlights its adaptability to real-time changes with a case study.This work advances UAV-UGV cooperative routing by providing a scalable, efficient, and robust solution for multi-agent mission planning.More details are available on the website: https://sites.google.com/view/muavugvdrl.", "keywords": [ "Routing (electronic design automation)", "Component (thermodynamics)", "Key (lock)", "Process (computing)" ], "cited_by_openalex": 1, "cited_by_scopus": 0, "eid": null, "pii": null, "open_access_url": "https://doi.org/10.15607/rss.2025.xxi.101", "sources": [ { "db": "openalex", "stream": "UAV", "query_id": "UAV-2" } ], "streams": [ "UAV" ], "relevance_signals": [ "UAV_NO_CTX" ], "auto_exclude_reason": "EC-4-topic", "screening_status": "auto_excluded", "screened_by": "auto-v1.0.0" }, { "id": "doi:10.1109/ic2em63689.2025.11101219", "doi": "10.1109/ic2em63689.2025.11101219", "title": "Multi Objective Vehicle Routing Problem Using Hybrid Approach For Gas Distribution Map", "year": 2025, "authors": [ "Cherifi Youcef", "Yasser Bouzid", "Guiatni Mohammed", "Bouras Abdelwahab" ], "first_author": "Cherifi Youcef", "venue": "Proceedings 2025 3rd International Conference on Electronics Energy and Measurement Ic2em 2025", "volume": null, "pages": null, "type": "conference-paper", "language": "en", "abstract": "As the threat of Nuclear, Biological, and Chemical (NBC) weapons rises, efficient gas distribution mapping and rapid detection are crucial for public safety. This study focuses on building a Gas Distribution Map (GDM) with a multi-UAV system equipped with gas sensors, aiming to minimize system performance factors like mission time, total time, and the number of UAVs. The problem is modeled as a Multi-Objective Capacitated Vehicle Routing Problem (MO-CVRP), and a hybrid approach combining Genetic Algorithms (GA) and Simulated Annealing (SA) is proposed to optimize this task. Simulations show that this method improves significantly the system performance while maintaining high-quality of GDMs.", "keywords": [ "Vehicle routing problem", "Computer science", "Routing (electronic design automation)", "Distribution (mathematics)", "Mathematical optimization", "Computer network", "Mathematics" ], "cited_by_openalex": 0, "cited_by_scopus": "1", "eid": "2-s2.0-105014910779", "pii": null, "open_access_url": "https://doi.org/10.1109/ic2em63689.2025.11101219", "sources": [ { "db": "openalex", "stream": "UAV", "query_id": "UAV-2" }, { "db": "scopus", "stream": "UAV", "query_id": "UAV-2" } ], "streams": [ "UAV" ], "relevance_signals": [ "UAV_NO_CTX" ], "auto_exclude_reason": "EC-4-topic", "screening_status": "auto_excluded", "screened_by": "auto-v1.0.0" }, { "id": "doi:10.1007/s12065-025-01092-0", "doi": "10.1007/s12065-025-01092-0", "title": "Adaptive ant colony optimization for solving dynamic vehicle and drone routing with time window constraints", "year": 2025, "authors": [ "Phan Duc Hung", "Nguyen Thi Tam", "Huỳnh Thị Thanh Bình" ], "first_author": "Phan Duc Hung", "venue": "Evolutionary Intelligence", "volume": "18", "pages": null, "type": "article", "language": "en", "abstract": null, "keywords": [ "Drone", "Vehicle routing problem", "Heuristics", "Ant colony optimization algorithms", "Routing (electronic design automation)", "Ant colony", "Exploit", "Benchmark (surveying)", "Dynamic programming" ], "cited_by_openalex": 0, "cited_by_scopus": "1", "eid": "2-s2.0-105017791126", "pii": null, "open_access_url": "https://doi.org/10.1007/s12065-025-01092-0", "sources": [ { "db": "openalex", "stream": "UAV", "query_id": "UAV-2" }, { "db": "scopus", "stream": "UAV", "query_id": "UAV-2" } ], "streams": [ "UAV" ], "relevance_signals": [ "UAV_NO_CTX" ], "auto_exclude_reason": "EC-4-topic", "screening_status": "auto_excluded", "screened_by": "auto-v1.0.0" }, { "id": "doi:10.1016/j.ifacol.2025.11.895", "doi": "10.1016/j.ifacol.2025.11.895", "title": "Design and Optimization of a Geofenced Pesticide Spraying System with Energy-Efficient Drone Route Planning Using CVRP", "year": 2025, "authors": [ "Thavarasa Hareeshanan", "Amila Thibbotuwawa", "W. Madushan Fernando", "Peter Nielsen" ], "first_author": "Thavarasa Hareeshanan", "venue": "IFAC-PapersOnLine", "volume": "59", "pages": "380-385", "type": "article", "language": "en", "abstract": "Agriculture plays an important role in supporting national economies and community livelihoods, with growing demand for food posing considerable challenge to agricultural productivity. Traditional approaches often fall short in satisfying these requirements. The use of pesticides is a key part of agricultural operations; nevertheless, traditional application methodologies have poor efficiency and expose agricultural workers to danger and therefore become impractical for widespread use. Unmanned Aerial Vehicles (UAVs), also known as drones, have been utilized for pesticide application, but still less accuracy, causing healthy crops to become contaminated by spraying. To prevent this problem, geofencing technology can be utilized to restrict pesticide sprays to target regions. In addition, Google OR-Tools utilizes the Capacitated Vehicle Routing Problem (CVRP) for improving efficiency in routing drones. In this work, both methodologies have been incorporated together to maximize efficiency in pesticide application with a view to minimizing energy consumption.", "keywords": [ "Drone", "Agriculture", "Pesticide", "Key (lock)", "Routing (electronic design automation)", "Vehicle routing problem", "Route planning" ], "cited_by_openalex": 0, "cited_by_scopus": "1", "eid": "2-s2.0-105025655003", "pii": "S2405896325026163", "open_access_url": "https://doi.org/10.1016/j.ifacol.2025.11.895", "sources": [ { "db": "openalex", "stream": "UAV", "query_id": "UAV-2" }, { "db": "scopus", "stream": "UAV", "query_id": "UAV-2" } ], "streams": [ "UAV" ], "relevance_signals": [ "UAV_NO_CTX" ], "auto_exclude_reason": "EC-4-topic", "screening_status": "auto_excluded", "screened_by": "auto-v1.0.0" }, { "id": "doi:10.1080/23249935.2025.2547758", "doi": "10.1080/23249935.2025.2547758", "title": "Logistics system design for hybrid commercial drones with integrated economic, social, and environmental cost considerations", "year": 2025, "authors": [ "Nima Molavi", "Yue Zhang", "Marcelo J. Alvarado-Vargas" ], "first_author": "Nima Molavi", "venue": "Transportmetrica A Transport Science", "volume": null, "pages": null, "type": "article", "language": "en", "abstract": "Hybrid drones have been developed for commercial purposes due to their long range and high payload capacity. This research designs a multi-criteria logistics system for hybrid commercial drones with deterministic demand locations. An integrated location and routing problem is formulated as a mixed-integer linear program to minimise the total cost of the logistics system, comprising economic, social, and environmental costs. Results show that reducing social costs increases economic and environmental costs, particularly in densely populated areas. Due to the complexity of larger instances, the problem is decomposed into a location master problem and routing subproblems. The two models are compared through computational experiments, and an illustrative example is provided. The decomposed model accommodates larger instances; although its location master problem requires more time, routing subproblems run substantially faster. We recommend the decomposed model for large, dynamic settings where demand locations frequently change, and the integrated model for small, static settings.", "keywords": [ "Drone", "Business", "Engineering", "Environmental economics", "Economics", "Biology" ], "cited_by_openalex": 0, "cited_by_scopus": "1", "eid": "2-s2.0-105013803553", "pii": null, "open_access_url": "https://doi.org/10.1080/23249935.2025.2547758", "sources": [ { "db": "openalex", "stream": "UAV", "query_id": "UAV-2" }, { "db": "scopus", "stream": "UAV", "query_id": "UAV-2" } ], "streams": [ "UAV" ], "relevance_signals": [ "UAV_NO_CTX" ], "auto_exclude_reason": "EC-4-topic", "screening_status": "auto_excluded", "screened_by": "auto-v1.0.0" }, { "id": "doi:10.1109/cdc57313.2025.11312588", "doi": "10.1109/cdc57313.2025.11312588", "title": "Bi-Level Route Optimization and Path Planning with Hazard Exploration", "year": 2025, "authors": [ "Jimin Choi", "Grant Stagg", "Cameron K. Peterson", "Max Z. Li" ], "first_author": "Jimin Choi", "venue": "Proceedings of the IEEE Conference on Decision and Control", "volume": null, "pages": "3403-3410", "type": "conference-paper", "language": "en", "abstract": "Effective risk monitoring in dynamic environments such as disaster zones requires an adaptive exploration strategy to detect hidden threats. We propose a bilevel unmanned aerial vehicle (UAV) monitoring strategy that efficiently integrates high-level route optimization with low-level path planning for known and unknown hazards. At the high level, we formulate the route optimization as a vehicle routing problem (VRP) to determine the optimal sequence for visiting known hazard locations. To strategically incorporate exploration efficiency, we introduce an edge-based centroidal Voronoi tessellation (CVT), which refines baseline routes using pseudo-nodes and allocates path budgets based on the UAV’s battery capacity using a line segment Voronoi diagram. At the low level, path planning maximizes information gain within the allocated path budget by generating kinematically feasible B-spline trajectories. Bayesian inference is applied to dynamically update hazard probabilities, enabling the UAVs to prioritize unexplored regions. Simulation results demonstrate that edgebased CVT improves spatial coverage and route uniformity compared to the node-based method. Additionally, our optimized path planning consistently outperforms baselines in hazard discovery rates across a diverse set of scenarios.", "keywords": [ "Motion planning", "Voronoi diagram", "Path (computing)", "Hazard", "Routing (electronic design automation)", "Particle swarm optimization", "Set (abstract data type)", "Bayesian probability" ], "cited_by_openalex": 3, "cited_by_scopus": "1", "eid": "2-s2.0-105031897090", "pii": null, "open_access_url": "https://arxiv.org/pdf/2503.24044", "sources": [ { "db": "openalex", "stream": "UAV", "query_id": "UAV-2" }, { "db": "scopus", "stream": "UAV", "query_id": "UAV-2" } ], "streams": [ "UAV" ], "relevance_signals": [ "UAV_NO_CTX" ], "auto_exclude_reason": "EC-4-topic", "screening_status": "auto_excluded", "screened_by": "auto-v1.0.0" }, { "id": "doi:10.3934/jimo.2025113", "doi": "10.3934/jimo.2025113", "title": "A leader-wingman-inspired cooperative-competitive optimization algorithm for sustainable part collection routing problem", "year": 2025, "authors": [ "Honghui Wang", "Binghai Zhou" ], "first_author": "Honghui Wang", "venue": "Journal of Industrial and Management Optimization", "volume": "21", "pages": "5772-5807", "type": "article", "language": "en", "abstract": "Due to the challenge of just-in-time part collection in the automobile industry, as well as the growing interest in energy conservation, this paper focuses on the design of the sustainable part collection routes with flexible time windows and heterogeneous fleet. A bi-objective integer programming model is therefore established, aiming to minimize the total energy consumption for executing all collection tasks and the total penalty costs imposed on early and late deliveries. To efficiently solve this problem which is inherently NP-hard, a novel metaheuristic optimization algorithm based on the leader-wingman framework is proposed. The algorithm employs dual populations, one denoted as 'leaders' and the other as 'wingmen', to mimic the cooperation and competition mechanisms in drone operations. This division of labor encourages relentless improvement and adaptability throughout the optimization process, striking a balance between exploiting high-potential regions and exploring uncharted territories. Moreover, a two-stage repair mechanism is designed to repair the infeasible solutions. Finally, computational experiments reveal that the proposed algorithm outperforms the other five state-of-the-art algorithms in both solution quality and convergence speed, and the use of heterogeneous fleet could achieve significant reductions in energy consumption over a homogeneous one. Moreover, a specific case is applied to demonstrate the practicality of the proposed model and algorithm.", "keywords": [ "Computer science", "Vehicle routing problem", "Routing (electronic design automation)", "Routing algorithm", "Mathematical optimization", "Operations research", "Algorithm", "Computer network", "Mathematics", "Routing protocol" ], "cited_by_openalex": 0, "cited_by_scopus": "1", "eid": "2-s2.0-105018736602", "pii": null, "open_access_url": "https://doi.org/10.3934/jimo.2025113", "sources": [ { "db": "openalex", "stream": "UAV", "query_id": "UAV-2" }, { "db": "scopus", "stream": "UAV", "query_id": "UAV-2" } ], "streams": [ "UAV" ], "relevance_signals": [ "UAV_NO_CTX" ], "auto_exclude_reason": "EC-4-topic", "screening_status": "auto_excluded", "screened_by": "auto-v1.0.0" }, { "id": "doi:10.1016/j.ifacol.2025.11.516", "doi": "10.1016/j.ifacol.2025.11.516", "title": "Swarm-based Cooperative Coverage Strategy for Amphibious Unmanned Systems in Complex Wetland Environments", "year": 2025, "authors": [ "Yuhang He", "Liao Bo", "Qi Dang" ], "first_author": "Yuhang He", "venue": "IFAC-PapersOnLine", "volume": null, "pages": null, "type": "article", "language": "en", "abstract": "This study investigates the effectiveness of amphibious unmanned aerial vehicles (Amphi-UAVs) in complex wetland inspections, emphasizing coverage path planning (CPP) optimization for dual-domain operations. We enhance the Scalable Coverage Path Planning (SCoPP) framework by introducing waterborne load balancing during conflict cell allocation, mode-switching path planning, and multi-objective optimization to reduce mission time and energy consumption. Comparative experiments show Amphi-UAVs outperform traditional quadrotor UAVs in wetland environments, especially in endurance and adaptability. We also determine the optimal Amphi-UAVs fleet size for balancing time and energy efficiency. Simulations in the Xixi Wetland validate the algorithm’s real-world applicability.", "keywords": [ "Wetland", "Scalability", "Path (computing)", "Motion planning", "Energy (signal processing)", "Efficient energy use" ], "cited_by_openalex": 1, "cited_by_scopus": 0, "eid": null, "pii": null, "open_access_url": "https://doi.org/10.1016/j.ifacol.2025.11.516", "sources": [ { "db": "openalex", "stream": "UAV", "query_id": "UAV-2" } ], "streams": [ "UAV" ], "relevance_signals": [ "UAV_NO_CTX" ], "auto_exclude_reason": "EC-4-topic", "screening_status": "auto_excluded", "screened_by": "auto-v1.0.0" }, { "id": "doi:10.30837/2522-9818.2025.1.049", "doi": "10.30837/2522-9818.2025.1.049", "title": "Development of real time data processing algorithms for UAV traffic optimization", "year": 2025, "authors": [ "Maksym Yena" ], "first_author": "Maksym Yena", "venue": "Innovative technologies and scientific solutions for industries", "volume": "2025", "pages": "49-60", "type": "article", "language": "en", "abstract": "Subject matter: UAV traffic management processes, including algorithms for processing large data streams in real time to ensure safety, efficiency, and optimal flight routing. Goal: To development and implementation of real-time data processing algorithms to ensure safe, efficient and automated UAV traffic management in urban and rural environments. Tasks: To analyze existing approaches to UAV traffic management and real-time data processing technologies; to develop a mathematical model that takes into account the specifics of UAV routing, including collision avoidance and route optimization; to create an algorithm for processing input data in real time that integrates dynamic traffic changes, weather conditions, and airspace conditions; to implement and test the proposed algorithm in a simulation environment; to conduct a comparative analysis of UAV simulations with and without the proposed algorithm. Methods: To apply nonlinear optimization methods to construct routes that minimize energy consumption, flight time, and collision risk; to use graph-theoretic models to represent airspace as a network with nodes (route points) and edges (potential trajectories), which allows for effective solution of routing problems; to use genetic algorithms to find optimal solutions in complex multi-factor routing problems; to process data based on Kalman filters; creation of virtual copies of the airspace for conducting experiments and evaluating the effectiveness of algorithms in a safe environment. Results: The developed nonlinear optimization algorithms allowed to minimize the energy consumption for UAV flights and the time of task execution; the effectiveness of the approach was confirmed by testing, which showed a reduction in energy consumption and a decrease in the average flight time compared to the basic algorithms; a graph-theoretical model of the airspace was built, which allows to visualize and analyze possible routes; filtering algorithms showed high accuracy in predicting the position of the UAV even under conditions of instability of GPS signals. The introduction of Kalman filters allowed to reduce the error in determining the position of the UAV, which is critical for avoiding collisions. Conclusions: The developed methods ensure safe airspace management and significantly reduce the risks of UAV collisions, which makes them promising for integration into urban and regional management systems; The use of optimization, clustering and evolutionary algorithms allows to improve routing, reduce energy consumption and task execution time.", "keywords": [ "Computer science", "Optimization algorithm", "Algorithm", "Real-time computing", "Data processing", "Mathematical optimization", "Mathematics", "Operating system" ], "cited_by_openalex": 0, "cited_by_scopus": "1", "eid": "2-s2.0-105019074009", "pii": null, "open_access_url": "https://journals.uran.ua/itssi/article/download/328659/318479", "sources": [ { "db": "openalex", "stream": "UAV", "query_id": "UAV-2" }, { "db": "scopus", "stream": "UAV", "query_id": "UAV-2" } ], "streams": [ "UAV" ], "relevance_signals": [ "UAV_NO_CTX" ], "auto_exclude_reason": "EC-4-topic", "screening_status": "auto_excluded", "screened_by": "auto-v1.0.0" }, { "id": "doi:10.5267/j.sci.2025.1.004", "doi": "10.5267/j.sci.2025.1.004", "title": "A scientometric review of the blood supply chain literature (2010-2025): Evolution, trends, and intellectual structure", "year": 2025, "authors": [ "Reza Ramezanian" ], "first_author": "Reza Ramezanian", "venue": "Scientometrica", "volume": null, "pages": null, "type": "review", "language": null, "abstract": "The blood supply chain (BSC) is a crucial and intricate system in the healthcare sector, which is marked by perishable products, fluctuating supply and demand, and a major impact of inefficiency. This paper showcases a detailed scientific review of BSC literature from 2010 to 2025 through scientometric methods, thereby mapping out its intellectual structure and development. By scrutinizing both foundational and recent publications, the authors are able to point out the research streams, methodological trends and main scholars. The scrutiny brings forward three leading research paradigms: (1) robust and resilient network design for disaster response, with Jawad as the leading scholar; (2) green and sustainable BSC modeling under uncertainty, where Pishvaee and his team are the main contributors; and (3) integrated inventory-routing problems for perishables, with Ramezanian as the pivotal author. This discipline is moving away from deterministic, single-objective models to the development of intricate multi-objective frameworks under hybrid uncertainties (robust, fuzzy, stochastic) which are being solved increasingly with metaheuristics and supported by case studies from real applications. The new trends include the combination of AI/ML for forecasting and decision-making, blockchain for transparency, and drones for the delivery part. The present review collects all these advancements and gives a succinct direction for both researchers and practitioners.", "keywords": [ "Supply chain", "Scrutiny", "Supply chain management", "Supply network", "Scientific literature", "Big data" ], "cited_by_openalex": 1, "cited_by_scopus": 0, "eid": null, "pii": null, "open_access_url": "https://doi.org/10.5267/j.sci.2025.1.004", "sources": [ { "db": "openalex", "stream": "UAV", "query_id": "UAV-2" } ], "streams": [ "UAV" ], "relevance_signals": [ "UAV_NO_CTX" ], "auto_exclude_reason": "EC-4-topic", "screening_status": "auto_excluded", "screened_by": "auto-v1.0.0" }, { "id": "doi:10.13164/re.2025.0342", "doi": "10.13164/re.2025.0342", "title": "An Effective Routing Algorithm to Minimize the UAV Routing Time and Extend the Network Lifetime in Clustered IoT Network", "year": 2025, "authors": [ "Hanif Zafor", "Tasher Ali Sheikh", "Nabajyoti Mazumdar", "A. Nag" ], "first_author": "Hanif Zafor", "venue": "Radioengineering", "volume": "34", "pages": "342-352", "type": "article", "language": "en", "abstract": "Recently, unmanned aerial vehicles (UAVs) have become more popular due to their ease of adaptability and capability to carry out a variety of activities, including the delivery of services, monitoring and surveillance in military and civilian contexts.One of the most significant challenges in UAV operation is ensuring maximum network lifetime and management of their limited battery life.To solve these problems, we have proposed an effective routing algorithm that finds the best route to minimize UAV routing time and extend network lifetime.This is performed using the Ant Colony Optimization with Local Search (ACO-LS) algorithm for data collection from the clustered IoT network by UAV to ensure maximum network lifetime.It solved the routing problem in the minimum time in the presence of multiple charging stations and optimized the routing path.The simulation was carried out using various performance metrics: network lifetime (NT), energy consumption (EC), number of alive nodes (NAN), and packet delivery percentage (PDP).These parameters were compared with some existing algorithms such as Ant Colony Optimization (ACO), Particle Swarm Optimization (PSO), and Genetic Algorithm (GA) and found that our proposed algorithm performs better in terms of higher NT, less EC, more NAN, and higher PDP than the existing algorithms ACO, PSO, and GA.", "keywords": [ "Computer science", "Routing (electronic design automation)", "Hierarchical routing", "Routing algorithm", "Computer network", "Static routing", "Multipath routing", "Distributed computing", "Routing protocol" ], "cited_by_openalex": 0, "cited_by_scopus": "1", "eid": "2-s2.0-105007364172", "pii": null, "open_access_url": "https://doi.org/10.13164/re.2025.0342", "sources": [ { "db": "openalex", "stream": "UAV", "query_id": "UAV-2" }, { "db": "scopus", "stream": "UAV", "query_id": "UAV-2" } ], "streams": [ "UAV" ], "relevance_signals": [ "UAV_NO_CTX" ], "auto_exclude_reason": "EC-4-topic", "screening_status": "auto_excluded", "screened_by": "auto-v1.0.0" }, { "id": "doi:10.1080/16258312.2025.2517526", "doi": "10.1080/16258312.2025.2517526", "title": "Optimisation of contactless logistics delivery under emergency pandemic prevention policies", "year": 2025, "authors": [ "Jiaojiao Gao", "Qing Xin Xiao", "Xiuping Guo" ], "first_author": "Jiaojiao Gao", "venue": "Supply Chain Forum an International Journal", "volume": null, "pages": null, "type": "article", "language": "en", "abstract": "Pandemic outbreaks present significant challenges for emergency logistics, demanding approaches that balance distribution efficiency with infection risk mitigation. This paper introduces the CRP&VRPD (Collaborative Routing Problem & Vehicle Routing Problem with Drones), an optimisation framework for truck-drone collaborative contactless delivery systems operating under pandemic-related policies. The mathematical model integrates key constraints, including risk-zone-based service differentiation, contactless delivery protocols, and vehicle/drone capacity limits, providing a tailored approach for pandemic response logistics. Addressing the NP-hard nature of the CRP&VRPD, we propose TK-SA, a two-phase hybrid heuristic. Phase one determines optimal locations for contactless pickup points using an enhanced K-means++ algorithm incorporating a spatiotemporal distance metric. Phase two employs an enhanced simulated annealing algorithm, featuring problem-specific operators and acceleration strategies, to optimise the coordinated truck and drone routes. The efficacy and performance of the proposed model and the TK-SA algorithm are validated through computational experiments, including a case study based on a 50-node benchmark instance. The case study demonstrates that the proposed collaborative system can reduce the total delivery time by approximately 51% compared to a traditional truck-only baseline, while ensuring adherence to contactless protocols. Sensitivity analyses explore the impact of key parameters, including drone payload capacity and high-risk zone definitions, on system performance.", "keywords": [ "Pandemic", "Business", "Coronavirus disease 2019 (COVID-19)", "Medical emergency", "Aeronautics", "Transport engineering", "Engineering", "Medicine" ], "cited_by_openalex": 0, "cited_by_scopus": "1", "eid": "2-s2.0-105009399908", "pii": null, "open_access_url": "https://doi.org/10.1080/16258312.2025.2517526", "sources": [ { "db": "openalex", "stream": "UAV", "query_id": "UAV-2" }, { "db": "scopus", "stream": "UAV", "query_id": "UAV-2" } ], "streams": [ "UAV" ], "relevance_signals": [ "UAV_NO_CTX", "TRUCK_NO_CTX" ], "auto_exclude_reason": "EC-4-topic", "screening_status": "auto_excluded", "screened_by": "auto-v1.0.0" }, { "id": "doi:10.3233/pmst250095", "doi": "10.3233/pmst250095", "title": "Coordinated Swarm Operations of Unmanned Surface Vehicles for Coastal Surveillance and Search and Rescue Missions", "year": 2025, "authors": [ "Egidio D’Amato", "Silvia Pennino" ], "first_author": "Egidio D’Amato", "venue": "Progress in marine science and technology", "volume": "10", "pages": "802-809", "type": "book-chapter", "language": "en", "abstract": "Over the past decades, the use of marine autonomous systems has grown exponentially, thanks to their simplicity, versatility, and significant technological advancements. Unmanned Surface Vehicles (USVs) have emerged as indispensable tools for critical maritime applications, such as coastal surveillance, search and rescue (SAR) operations, and environmental monitoring, where speed, endurance, and precision are essential. These applications often involve challenges that are either too hazardous or too demanding for human operators, such as operating in adverse weather conditions or covering vast, inaccessible areas. Recent research has increasingly focused on cooperative formations or swarms of USVs and UAVs (Unmanned Aerial Vehicles). These formations not only enable the execution of complex missions more effectively than a single vehicle but also reduce the costs and individual payload requirements of each unit. Additionally, such formations improve the robustness and reliability of the system: in case of failure of one USV, the swarm can dynamically reconfigure itself, ensuring mission continuity and adaptability in real-time. Despite their potential, the effective coordination of USVs and UAVs in such swarms presents significant challenges. These include ensuring autonomous operation in dynamic environments, optimizing energy consumption given limited fuel or battery capacity, and enabling adaptive task allocation while maintaining real-time communication in potentially low-bandwidth conditions. Addressing these challenges is crucial, especially in time-critical SAR scenarios where rapid response and coverage are vital. This paper introduces a novel swarm coordination algorithm tailored to USV and UAV formations, based on an adaptation of the Vehicle Routing Problem (VRP). The algorithm optimizes the trajectories of multiple USVs while ensuring seamless collaboration with a mothership, which serves as a central hub for refueling, communication, and coordination. Numerical simulations developed in Matlab/Simulink are presented to validate the effectiveness of the algorithm across various coastal surveillance and SAR scenarios. The results demonstrate the potential of the approach to improve mission success rates and operational robustness in complex maritime environments.", "keywords": [ "Swarm behaviour", "Search and rescue", "Payload (computing)", "Computer science", "Adaptability", "Engineering", "Real-time computing", "Systems engineering", "Robot", "Computer security", "Artificial intelligence" ], "cited_by_openalex": 0, "cited_by_scopus": "1", "eid": "2-s2.0-105016214591", "pii": null, "open_access_url": "https://doi.org/10.3233/pmst250095", "sources": [ { "db": "openalex", "stream": "UAV", "query_id": "UAV-2" }, { "db": "scopus", "stream": "UAV", "query_id": "UAV-2" } ], "streams": [ "UAV" ], "relevance_signals": [ "UAV_NO_CTX" ], "auto_exclude_reason": "EC-4-topic", "screening_status": "auto_excluded", "screened_by": "auto-v1.0.0" }, { "id": "doi:10.1109/access.2025.3571435", "doi": "10.1109/access.2025.3571435", "title": "R-YOLO: Enhancing Takeoff/Landing Safety in UAM Vertiports With Deep Learning Model", "year": 2025, "authors": [ "Nan Lao Ywet", "Aye Aye Maw", "Jae-Woo Lee" ], "first_author": "Nan Lao Ywet", "venue": "IEEE Access", "volume": "13", "pages": "89045-89058", "type": "article", "language": "en", "abstract": "This study introduces the R-YOLO model, an innovative AI-driven safety system that incorporates real-time object detection and trajectory prediction to provide decision support information during the critical takeoff and landing phases of improving urban air mobility (UAM) operations. The proposed unified approach, in contrast with traditional techniques, effectively combines detection and prediction into a single model, allowing effective real-time video processing. Leveraging data from onboard cameras, the model continuously monitors vertiport surroundings, enabling instantaneous situational awareness and predictive risk assessment. This method offers useful information about object positions and movement, which improves situational awareness, reduces operator workload, and facilitates better decision-making. The primary contribution of the research is the unified structure for anticipatory safety mechanisms, a step forward in AI-enabled aviation. By addressing major issues in urban aviation with this innovative artificial intelligence framework, the study provides the possibility of safer and more effective UAM operations.", "keywords": [ "Takeoff", "Computer science", "Aeronautics", "Takeoff and landing", "Deep learning", "Aerospace engineering", "Simulation", "Artificial intelligence", "Engineering" ], "cited_by_openalex": 3, "cited_by_scopus": "1", "eid": "2-s2.0-105005795205", "pii": null, "open_access_url": "https://doi.org/10.1109/access.2025.3571435", "sources": [ { "db": "openalex", "stream": "UAV", "query_id": "UAV-3" }, { "db": "scopus", "stream": "UAV", "query_id": "UAV-3" } ], "streams": [ "UAV" ], "relevance_signals": [ "UAV_NO_CTX" ], "auto_exclude_reason": "EC-4-topic", "screening_status": "auto_excluded", "screened_by": "auto-v1.0.0" }, { "id": "doi:10.12985/ksaa.2025.33.1.043", "doi": "10.12985/ksaa.2025.33.1.043", "title": "Developing a Vertiport Location Assessment Model based on Service Objectives", "year": 2025, "authors": [ "Biooh Kim", "Sangil Choi", "Huiyang Kim" ], "first_author": "Biooh Kim", "venue": "Journal of the Korean Society for Aviation and Aeronautics", "volume": null, "pages": null, "type": "article", "language": "en", "abstract": "Urban air mobility (UAM) is an emerging transport system that operates above urban areas, addressing urbanization-related challenges. As a critical component of UAM infrastructure, vertiports require significant time and resource investment. Therefore, a systematic model is essential for determining optimal locations. This study proposes a location assessment model based on two primary service objectives: passenger transportation and emergency medical services. The model follows a step-by-step assessment, integrating site constraints, user demand, and facility supply with tailored evaluation criteria. To validate the model’s applicability, an empirical analysis was conducted in the Gyeongsangnam-do region. The analysis identified optimal vertiport locations for passenger transport and emergency medical services. Prioritization assessment demonstrated the practical utility and effectiveness of the proposed model.", "keywords": [ "Computer science", "Service (business)", "Business", "Marketing" ], "cited_by_openalex": 1, "cited_by_scopus": 0, "eid": null, "pii": null, "open_access_url": "https://www.jksaa.org/download/download_pdf?pid=jksaa-33-1-43", "sources": [ { "db": "openalex", "stream": "UAV", "query_id": "UAV-3" } ], "streams": [ "UAV" ], "relevance_signals": [ "UAV_NO_CTX" ], "auto_exclude_reason": "EC-4-topic", "screening_status": "auto_excluded", "screened_by": "auto-v1.0.0" }, { "id": "doi:10.2514/6.2025-2696", "doi": "10.2514/6.2025-2696", "title": "Performance Evaluation of UATM Services Accounting for Airspace and Vertiport Capacities", "year": 2025, "authors": [ "Nobuhiro Yokoyama", "Masato Shindo", "Naoki Matayoshi", "Hiroaki Yoshida" ], "first_author": "Nobuhiro Yokoyama", "venue": "AIAA Science and Technology Forum and Exposition AIAA Scitech Forum 2025", "volume": null, "pages": null, "type": "conference-paper", "language": "en", "abstract": "Because advanced air mobility (AAM) is operated under conditions such as short flight duration and low vertiport capacities, urban air traffic management (UATM) services are required even at an early stage of AAM maturity. These services, such as the strategic conflict management for the pre-flight phase, are required to achieve flight safety and the necessary operational tempo. Thus, this study developed algorithms and rules for the UATM services primarily targeted at the pre-flight phase and evaluated their performance in a fast-time simulation platform. Specifically, this study proposed UATM services implemented by an initial coordination algorithm for scheduled flights, an algorithm for strategic conflict management that considers airspace and ground resource capacities as well as their demand uncertainties, and assignment rules for vertiport resources based on prioritization. Through the numerical simulations of AAM operations for scheduled flights with added departure delays, the effectiveness of the developed algorithms and rules as UATM services was confirmed in terms of airborne holding times, achievable operational tempo, sensitivity to delays, and the frequency of airborne conflicts.", "keywords": [ "Computer science", "Accounting", "Aeronautics", "Business", "Engineering" ], "cited_by_openalex": 1, "cited_by_scopus": "1", "eid": "2-s2.0-105001423488", "pii": null, "open_access_url": "https://doi.org/10.2514/6.2025-2696", "sources": [ { "db": "openalex", "stream": "UAV", "query_id": "UAV-3" }, { "db": "scopus", "stream": "UAV", "query_id": "UAV-3" } ], "streams": [ "UAV" ], "relevance_signals": [ "UAV_NO_CTX" ], "auto_exclude_reason": "EC-4-topic", "screening_status": "auto_excluded", "screened_by": "auto-v1.0.0" }, { "id": "doi:10.2514/6.2025-3268", "doi": "10.2514/6.2025-3268", "title": "Bio-Inspired Capsule and Dynamic Base Design for Sustainable Drone Vertiport", "year": 2025, "authors": [ "Logan Moore", "Mostafa Hassanalian" ], "first_author": "Logan Moore", "venue": "AIAA Aviation Forum and Ascend 2025", "volume": null, "pages": null, "type": "conference-paper", "language": "en", "abstract": "Bio-inspired engineering offers a promising method for advancing drone infrastructure in remote and challenging environments. This work presents two capsule designs inspired by the Pitcher Plant and Fungi, developed to improve drone landing precision and environmental durability. The Pitcher Plant capsule uses a scissor-jack mechanism to expand the landing platform, enhancing alignment and stability. Although effective in early tests, mechanical issues prompted further refinement. The Fungi capsule, finishing its testing, features a hemispherical shell designed to reduce drag and improve weather resistance. Both capsules are built to integrate with a telescoping base powered by solar energy, supporting modular, multi-drone operations. These innovations lay the groundwork for autonomous drone systems capable of operating independently in the field, with future development focused on flight path automation ,swarm coordination, and self-charging capabilities.", "keywords": [ "Drone", "Base (topology)", "Computer science", "Capsule", "Biology", "Mathematics" ], "cited_by_openalex": 1, "cited_by_scopus": "1", "eid": "2-s2.0-105018051013", "pii": null, "open_access_url": "https://doi.org/10.2514/6.2025-3268", "sources": [ { "db": "openalex", "stream": "UAV", "query_id": "UAV-3" }, { "db": "scopus", "stream": "UAV", "query_id": "UAV-3" } ], "streams": [ "UAV" ], "relevance_signals": [ "UAV_NO_CTX" ], "auto_exclude_reason": "EC-4-topic", "screening_status": "auto_excluded", "screened_by": "auto-v1.0.0" }, { "id": "doi:10.15332/19090528.10832", "doi": "10.15332/19090528.10832", "title": "Rooftop Runways: Evaluating the UAE’s Regulatory Framework for Vertiports in Urban Air Mobility", "year": 2025, "authors": [ "Mohammad Owais Farooqui" ], "first_author": "Mohammad Owais Farooqui", "venue": "Via Inveniendi Et Iudicandi", "volume": "20", "pages": "149-163", "type": "article", "language": "en", "abstract": "The emergence of electric vertical take-off and landing (eVTOL) aircraft is driving innovation in regulatory frameworks and infrastructure development for urban air mobility globally. The United Arab Emirates (UAE) has taken a pioneering role by introducing the first national regulations for vertiports, known as CAR-HVD. This paper critically evaluates the UAE’s vertiport regulatory framework, emphasizing certification procedures, design and operational safety requirements, airspace integration, and electrical infrastructure considerations. A comparative analysis is conducted against corresponding frameworks from the U.S. Federal Aviation Administration (FAA), the European Union Aviation Safety Agency (EASA), and the International Civil Aviation Organization (ICAO). Empirical insights drawn from global vertiport implementations, including case studies from Dubai, Abu Dhabi, the United States, Europe, and Asia, highlight the practical impacts and effectiveness of these regulatory approaches. Additionally, a comparative cost-benefit analysis examines vertiports relative to traditional transportation modes, emphasizing their economic viability and potential revenue generation. The paper concludes by proposing policy recommendations aimed at enhancing regulatory coherence, fostering stakeholder collaboration, ensuring public acceptance, and promoting sustainability. These insights support regulators, aviation stakeholders, urban planners, and policymakers in navigating the complex regulatory landscape of advanced urban air mobility infrastructure.", "keywords": [ "Civil aviation", "Aviation", "Agency (philosophy)", "Revenue", "Aviation engineering", "Certification", "Stakeholder", "European union" ], "cited_by_openalex": 1, "cited_by_scopus": "1", "eid": "2-s2.0-105011690843", "pii": null, "open_access_url": "https://revistas.usantotomas.edu.co/index.php/viei/article/download/10832/9002", "sources": [ { "db": "openalex", "stream": "UAV", "query_id": "UAV-3" }, { "db": "scopus", "stream": "UAV", "query_id": "UAV-3" } ], "streams": [ "UAV" ], "relevance_signals": [ "UAV_NO_CTX" ], "auto_exclude_reason": "EC-4-topic", "screening_status": "auto_excluded", "screened_by": "auto-v1.0.0" }, { "id": "doi:10.3390/smartcities8060202", "doi": "10.3390/smartcities8060202", "title": "A Strategy-Aware LLM-Based Framework for Vertiport Site Selection in Urban Air Mobility with Ground Transportation Integration", "year": 2025, "authors": [ "Yuping Jin", "Jun Ma" ], "first_author": "Yuping Jin", "venue": "Smart Cities", "volume": "8", "pages": null, "type": "article", "language": "en", "abstract": "Urban air mobility (UAM) introduces electric vertical takeoff and landing (eVTOL) systems, creating new requirements for infrastructure planning. Vertiport siting is central, yet existing approaches such as multi-criteria decision analysis and optimization often rely on fixed criteria and seldom integrate ground transportation, which is critical for first- and last-mile access. Large language models (LLMs) show strong capabilities in reasoning and tool orchestration, but their role in siting tasks remains underexplored. This study proposes a strategy-aware LLM-based framework that connects heterogeneous spatial data with planning strategies expressed in natural language. A reflective loop connects the planner, executor, and validator for iterative refinement using two methods: multi-criteria decision analysis for interpretable mapping and a genetic algorithm for nonlinear optimization. Experiments in Los Angeles highlight both the potential and challenges of applying LLM agents to siting: outcome evaluation shows that strategies can be translated into distinct trade-offs, while process evaluation demonstrates the benefits of iterative refinement. The study suggests that LLM-based agents can formalize qualitative strategies into reproducible workflows, indicating their potential for UAM siting and promise for broader use in urban planning.", "keywords": [ "Process (computing)", "Iterative and incremental development", "Selection (genetic algorithm)", "Validator", "Site selection", "Decision support system", "Iterative method", "Outcome (game theory)" ], "cited_by_openalex": 2, "cited_by_scopus": "1", "eid": "2-s2.0-105025779980", "pii": null, "open_access_url": "https://www.mdpi.com/2624-6511/8/6/202/pdf?version=1764494955", "sources": [ { "db": "openalex", "stream": "UAV", "query_id": "UAV-3" }, { "db": "scopus", "stream": "UAV", "query_id": "UAV-3" } ], "streams": [ "UAV" ], "relevance_signals": [ "UAV" ], "auto_exclude_reason": null, "screening_status": "pending_human_screening", "screened_by": "auto-v1.0.0" }, { "id": "doi:10.1109/dasc66011.2025.11257220", "doi": "10.1109/dasc66011.2025.11257220", "title": "Geometric Vertiport Localization: UAM Procedural Envelopes in a Cityscape", "year": 2025, "authors": [ "Chi Kien Huynh", "Billy Josefsson", "Anastasia Lemetti", "Valentin Polishchuk", "Леонид Александрович Седов" ], "first_author": "Chi Kien Huynh", "venue": "AIAA IEEE Digital Avionics Systems Conference Proceedings", "volume": null, "pages": null, "type": "conference-paper", "language": null, "abstract": "A vital step in implementing Urban Air Mobility is the development of its counterpart to airports: TakeOff and Landing Areas (TOLAs), or vertiports. This paper contributes to the establishment of safe vertiports by identifying where they can be located within a city landscape, in compliance with the Prototype Technical Specifications for the Design of Visual Flight Rules Vertiports for Operation with Manned Vertical-Take-Off-and-Landing-Capable Aircraft, issued by the European Agency for the Safety of Aviation [1]. Specifically, we design, implement, and test algorithms which aid in deciding where the vertiports can be placed. We present the results of experimenting with our tools on data from Stockholm. The results show that our decisionsupport tools can help inform decisions on developing vertiport regulations, policies, and services. An appealing feature of our tools is that they are wrapped up into a web-based graphical user interface (GUI) which anyone on the internet can freely use to create their own sets of feasible vertiports (we allow the user to load and saving their vertiports, choose their purpose, etc.).", "keywords": [ "Cityscape", "Graphical user interface", "Feature (linguistics)", "Aviation", "The Internet", "Interface (matter)", "User interface" ], "cited_by_openalex": 0, "cited_by_scopus": "1", "eid": "2-s2.0-105029901120", "pii": null, "open_access_url": "https://doi.org/10.1109/dasc66011.2025.11257220", "sources": [ { "db": "openalex", "stream": "UAV", "query_id": "UAV-3" }, { "db": "scopus", "stream": "UAV", "query_id": "UAV-3" } ], "streams": [ "UAV" ], "relevance_signals": [ "UAV_NO_CTX" ], "auto_exclude_reason": "EC-4-topic", "screening_status": "auto_excluded", "screened_by": "auto-v1.0.0" }, { "id": "doi:10.1016/j.cie.2025.111627", "doi": "10.1016/j.cie.2025.111627", "title": "After-sales repair center location and scheduling problem with drone transportation: Exact and heuristic methods", "year": 2025, "authors": [ "Bo Ren", "Mengsheng Li", "Huan Zhang", "Ping He" ], "first_author": "Bo Ren", "venue": "Computers & Industrial Engineering", "volume": "211", "pages": null, "type": "article", "language": "en", "abstract": null, "keywords": [ "Drone", "Scheduling (production processes)", "Job shop scheduling", "Heuristic", "Linear programming", "Customer service", "Optimization problem" ], "cited_by_openalex": 0, "cited_by_scopus": "1", "eid": "2-s2.0-105019968864", "pii": "S0360835225007739", "open_access_url": "https://doi.org/10.1016/j.cie.2025.111627", "sources": [ { "db": "openalex", "stream": "UAV", "query_id": "UAV-3" }, { "db": "scopus", "stream": "UAV", "query_id": "UAV-3" } ], "streams": [ "UAV" ], "relevance_signals": [ "UAV_NO_CTX" ], "auto_exclude_reason": "EC-4-topic", "screening_status": "auto_excluded", "screened_by": "auto-v1.0.0" }, { "id": "doi:10.2514/6.2025-1545", "doi": "10.2514/6.2025-1545", "title": "Cascading Delay Mitigation With Quadratic Bézier Curve Trajectory Planning", "year": 2025, "authors": [ "Michael R. Variny", "Travis W. Moleski", "Jay Paul Wilhelm" ], "first_author": "Michael R. Variny", "venue": "AIAA Science and Technology Forum and Exposition AIAA Scitech Forum 2025", "volume": null, "pages": null, "type": "conference-paper", "language": "en", "abstract": "Congested airspace conflict resolution during terminal operations is a common air traffic management issue that may produce cascading delays. Vehicles needing emergency clearance to land, at either traditional airports or vertiports, would require others on approach to move out of the way and in some instances cause a wave of delay to propagate through all vehicles on approach. Specifically, uncrewed aerial systems utilizing near-maximum arrival rates would be greatly impacted when requested to move off their approach path and may interfere with others. Vertiports further complicate crowded approaches because vehicles can arrive from many different angles at the same time to maximize landing area usage. Traditional air traffic management techniques were studied for vertiport applications specific to high-capacity operations. This work investigated methods of uniformly re-directing vehicles on approach to a vertiport that would be impacted by an emergency vehicle to minimize or avoid cascading delays. A route of time-optimal B\\'ezier curves as well as Dubins paths optimized for interception heading was generated and flown on as an alternate maneuver when an unaccounted for emergency vehicle initiated a bypass of an air traffic fleet. Comparison to flight on a holding pattern showed that the B\\'ezier and Dubins route improved delay times and mitigated a cascading delay effect.", "keywords": [ "Trajectory", "Quadratic equation", "Bézier curve", "Computer science", "Motion planning", "Control theory (sociology)", "Mathematical optimization", "Mathematics", "Geometry", "Physics", "Robot", "Control (management)" ], "cited_by_openalex": 1, "cited_by_scopus": "1", "eid": "2-s2.0-105001477300", "pii": null, "open_access_url": "https://doi.org/10.2514/6.2025-1545", "sources": [ { "db": "openalex", "stream": "UAV", "query_id": "UAV-3" }, { "db": "scopus", "stream": "UAV", "query_id": "UAV-3" } ], "streams": [ "UAV" ], "relevance_signals": [ "UAV_NO_CTX" ], "auto_exclude_reason": "EC-4-topic", "screening_status": "auto_excluded", "screened_by": "auto-v1.0.0" }, { "id": "doi:10.1109/icuas65942.2025.11007806", "doi": "10.1109/icuas65942.2025.11007806", "title": "Air Corridor Planning for UAVs Using a Cooperative Co-Evolutionary Approach and NURBS Representation", "year": 2025, "authors": [ "Elias José de Rezende Freitas", "Miri Weiss Cohen", "Frederico Gadelha Guimarães", "Luciano C. A. Pimenta" ], "first_author": "Elias José de Rezende Freitas", "venue": null, "volume": null, "pages": null, "type": "conference-paper", "language": "en", "abstract": "This paper addresses the problem of planning feasible air corridors for UAVs. We propose a novel path planner based on a co-evolutionary approach that considers minimum curvature, no-fly zones, interactions with other air corridors, and adherence to specified altitude-safe zones, with each central path represented by a Non-Uniform Rational BSpline (NURBS) curve. In addition, our approach accommodates UAVs, such as fixed-wing aircraft, which cannot hover or remain stationary in the air, by providing paths that guide the robots to tangent landing or take-off regions (vertiports). The results of different scenarios with different numbers of vertiports and no-fly zones demonstrate the planner's ability to generate a set of feasible air corridors.", "keywords": [ "Representation (politics)", "Computer science", "Evolutionary algorithm", "Evolutionary computation", "Artificial intelligence" ], "cited_by_openalex": 1, "cited_by_scopus": 0, "eid": null, "pii": null, "open_access_url": "https://doi.org/10.1109/icuas65942.2025.11007806", "sources": [ { "db": "openalex", "stream": "UAV", "query_id": "UAV-3" } ], "streams": [ "UAV" ], "relevance_signals": [ "UAV_NO_CTX" ], "auto_exclude_reason": "EC-4-topic", "screening_status": "auto_excluded", "screened_by": "auto-v1.0.0" }, { "id": "doi:10.2514/6.2025-2003", "doi": "10.2514/6.2025-2003", "title": "Proposed Urban Air Mobility Operations Will Lead to Socioeconomic Disparities in Noise Pollution", "year": 2025, "authors": [ "Matthew A. Clarke", "Aidan R. Molloy", "Niranjan Nanjappa", "Yair N. Guerrero", "Ava Cipriani", "Nicole Artemyev", "Ceyenna M. Tillman" ], "first_author": "Matthew A. Clarke", "venue": "AIAA Science and Technology Forum and Exposition AIAA Scitech Forum 2025", "volume": null, "pages": null, "type": "conference-paper", "language": "en", "abstract": "Urban air mobility (UAM) represents a promising frontier in transportation, yet concerns over its potential contribution to noise pollution are increasingly undervalued or, at worst, disregarded. Aircraft noise and the associated annoyance have been linked to adverse health impacts, such as hearing loss and heightened anxiety in those who face high exposure. Additionally, the psychological effects of disproportionately affected groups enhance the feeling of existing inequalities. This paper seeks to reduce the probability of ill-planned air traffic management by distilling the relationship between proposed UAM aircraft operations and human activity and proposing a new community annoyance noise metric derived from current regulations, population density, and land use. More holistic in nature, this metric can better inform implications for public health and quality of living in lower-income and racial minority communities that are traditionally subjected to heightened aircraft noise due to their proximity to airports. A trade study of the greater Los Angeles metropolitan area was undertaken to demonstrate the utility of this new metric and the application of this work. Three distinct electric vertical takeoff and landing aircraft configurations were modeled to simulate hourly operations between theorized vertiports. The findings suggest that for direct vertiport-to-vertiport flight operations, the degree to which specific demographics of people are impacted varies with configuration.", "keywords": [ "Metric (unit)", "Noise pollution", "Socioeconomic status", "Computer science", "Air pollution", "Noise (video)", "Environmental science", "Pollution", "Environmental planning", "Business", "Noise reduction", "Sociology" ], "cited_by_openalex": 1, "cited_by_scopus": "1", "eid": "2-s2.0-105001323530", "pii": null, "open_access_url": "https://doi.org/10.2514/6.2025-2003", "sources": [ { "db": "openalex", "stream": "UAV", "query_id": "UAV-3" }, { "db": "scopus", "stream": "UAV", "query_id": "UAV-3" } ], "streams": [ "UAV" ], "relevance_signals": [ "UAV_NO_CTX" ], "auto_exclude_reason": "EC-4-topic", "screening_status": "auto_excluded", "screened_by": "auto-v1.0.0" }, { "id": "doi:10.1145/3747012.3747030", "doi": "10.1145/3747012.3747030", "title": "Site Selection and Route Planning Study for Manned eVTOL Landing Sites", "year": 2025, "authors": [ "Xinhua Zhu", "Qian Wang", "Qingyu Jiao" ], "first_author": "Xinhua Zhu", "venue": "Proceedings of 2025 International Conference on Smart City and Sustainable Development Scsd 2025", "volume": null, "pages": "109-117", "type": "conference-paper", "language": "en", "abstract": "With the intensification of urbanization exacerbating ground traffic congestion, the development of low-altitude transportation using electric Vertical Take-Off and Landing (eVTOL) aircraft has emerged as a novel approach to alleviate urban commuting pressure. This study, taking Shenzhen as a case, extracted commuting demands from census data and determined optimal vertiport locations through K-means clustering and Silhouette function evaluation, revealing that establishing 40 vertiports achieves optimal clustering quality. A genetic algorithm-based minimum operational cost model further demonstrated that battery capacity and charging center quantity are negatively correlated with total flight distance and energy consumption. Specifically, increasing battery capacity within a certain range reduces operational costs through mediating variables, while expanding charging center quantity within a defined threshold decreases energy consumption and costs under fixed battery capacity. This research provides quantitative evidence for low-altitude transportation infrastructure planning and aircraft configuration, proving that optimizing battery capacity and charging network density can effectively enhance the operational cost-effectiveness of urban aerial mobility systems.", "keywords": [ "Selection (genetic algorithm)", "Site selection", "Route planning", "Computer science", "Moon landing", "Aerospace engineering", "Aeronautics", "Astrobiology", "Engineering", "Transport engineering", "Artificial intelligence", "Physics" ], "cited_by_openalex": 1, "cited_by_scopus": "1", "eid": "2-s2.0-105026289632", "pii": null, "open_access_url": "https://doi.org/10.1145/3747012.3747030", "sources": [ { "db": "openalex", "stream": "UAV", "query_id": "UAV-3" }, { "db": "scopus", "stream": "UAV", "query_id": "UAV-3" } ], "streams": [ "UAV" ], "relevance_signals": [ "UAV_NO_CTX" ], "auto_exclude_reason": "EC-4-topic", "screening_status": "auto_excluded", "screened_by": "auto-v1.0.0" }, { "id": "doi:10.1109/icns65417.2025.10976768", "doi": "10.1109/icns65417.2025.10976768", "title": "Optimal Air Corridor Design for Efficient Integration of AAM Vehicles into the NAS", "year": 2025, "authors": [ "Marielle Korringa", "Paul Snyder", "Michael Ullrich", "Sreejith Vidhyadharan", "Robbie Lunnie" ], "first_author": "Marielle Korringa", "venue": "Integrated Communications Navigation and Surveillance Conference Icns", "volume": null, "pages": null, "type": "conference-paper", "language": "en", "abstract": "Advanced Air Mobility (AAM) corridors are a vital concept in the growing field of urban air mobility (UAM) and are critical for facilitating safe and efficient integration of AAM/UAM aircraft with the National Airspace System (NAS). These corridors are designated airspace routes designed for the safe operation of crewed and uncrewed aircraft carrying passengers and goods in platforms such as electric vertical takeoff and landing (eVTOL) vehicles. AAM corridors will eventually shape the future of air mobility and will change how both people and goods move within and between cities. With defined routes and altitude for AAM operations, it will ensure separation between these different aircraft types and significantly reduce the risk of collisions. As the NAS becomes more complex, AAM corridors will also help by improving the management of traffic by being integrated with existing air traffic control systems to limit disruptions. Also, by providing specific routes for AAM/UAM vehicles, these corridors can lower congestion in complex airspace, improve operational speed, and reduce travel times. AAM/UAM operations are likely to expand as time goes on and should be scalable, so they can accommodate the expected increase in traffic volume while still prioritizing safety and minimizing the risks to airspace operations, ground activities and infrastructure. This study proposes an AAM corridor operating at an altitude above 2,000 feet, connecting the cities of Thompson and Fargo in North Dakota, with designated vertiports at each location. Several key design considerations have been identified as important when designing AAM corridors, including focusing on minimizing the impact on existing NAS operations by accounting for current air traffic and addressing public concerns such as noise and safety, by avoiding more densely populated areas. Furthermore, the study examines the establishment of the route for AAM/UAM vehicles during airport entry and departure operations. In addition to designing the route between Thompson and Fargo, dedicated take-off and landing paths were developed for both vertiports. A weighted heatmap was generated encompassing the area between Thompson and Fargo analyzing the available data, complemented by detailed heatmaps for the four-square-mile regions surrounding each vertiport. The A* algorithm was then utilized to determine the optimal routes based on these heatmaps, using several real world datasets to identify the paths that best balance efficiency and safety. Once the path was calculated a curve fitting algorithm was used to smooth calculated paths. The development of AAM corridors will facilitate a structured, safe, and efficient integration of AAM/UAM vehicles into the current airspace system. The results presented in the paper use real-world data captured from both the airport and vertiport in each city as well as between the two cities. Future research could include AI-driven dynamic corridor adjustment and integration of multi-vehicle traffic in AAM corridors.", "keywords": [ "Computer science" ], "cited_by_openalex": 1, "cited_by_scopus": "1", "eid": "2-s2.0-105005165678", "pii": null, "open_access_url": "https://doi.org/10.1109/icns65417.2025.10976768", "sources": [ { "db": "openalex", "stream": "UAV", "query_id": "UAV-3" }, { "db": "scopus", "stream": "UAV", "query_id": "UAV-3" } ], "streams": [ "UAV" ], "relevance_signals": [ "UAV_NO_CTX" ], "auto_exclude_reason": "EC-4-topic", "screening_status": "auto_excluded", "screened_by": "auto-v1.0.0" }, { "id": "doi:10.1007/s00291-024-00801-y", "doi": "10.1007/s00291-024-00801-y", "title": "Planning an airport shuttle network with air taxis using choice-based optimization", "year": 2025, "authors": [ "Thomas Hagspihl", "Rainer Kolisch", "S. Schiffels" ], "first_author": "Thomas Hagspihl", "venue": "OR Spectrum", "volume": null, "pages": null, "type": "article", "language": "en", "abstract": "Abstract Airports and airlines share a common interest in providing passengers with fast and convenient access to airports. With the introduction of air taxis as a new means of transport, the opportunity will soon emerge to introduce air taxi shuttle services to airports. In this context, for each individual airport the question arises where the facilities for landing, ground handling and take-off, also called vertiports, should be located in the area surrounding the airport. We formulate the problem as a hub location problem with multiple allocation, with the objective to maximize the number of passengers who choose to reach the airport by air taxi. In our model, we explicitly incorporate passengers’ choice behavior with respect to available means of transport using a multinomial logit model. We linearize the problem and provide guidance on the steps needed to use the model in practice. In an extensive case study, we apply the model to real data for Munich Airport, perform a stated preference study to parameterize the multinomial logit model, suggest locations for vertiports throughout Bavaria as a result, and investigate to what extent the introduction of air taxi shuttle flights can reduce travel times to Munich Airport.", "keywords": [ "Taxis", "Computer science", "Operations research", "Transport engineering", "Mathematics", "Engineering" ], "cited_by_openalex": 1, "cited_by_scopus": 0, "eid": null, "pii": null, "open_access_url": "https://link.springer.com/content/pdf/10.1007/s00291-024-00801-y.pdf", "sources": [ { "db": "openalex", "stream": "UAV", "query_id": "UAV-3" } ], "streams": [ "UAV" ], "relevance_signals": [ "UAV_NO_CTX" ], "auto_exclude_reason": "EC-4-topic", "screening_status": "auto_excluded", "screened_by": "auto-v1.0.0" }, { "id": "doi:10.2139/ssrn.5180508", "doi": "10.2139/ssrn.5180508", "title": "Mechanical Vibration Exposure Study of Drone Transport of a Monoclonal Antibody (Nivolumab)", "year": 2025, "authors": [ "Wanqing Zhu", "Katherine Theobald", "Mike Tobyn", "Patrick G. Courtney", "Paul G. Royall", "Tom Cherrett", "Tim P. Waters" ], "first_author": "Wanqing Zhu", "venue": "SSRN Electronic Journal", "volume": null, "pages": null, "type": "preprint", "language": "en", "abstract": null, "keywords": [ "Monoclonal antibody", "Nivolumab", "Drone", "Antibody", "Medicine", "Immunology", "Internal medicine", "Biology", "Immunotherapy", "Cancer", "Genetics" ], "cited_by_openalex": 1, "cited_by_scopus": 0, "eid": null, "pii": null, "open_access_url": "https://doi.org/10.2139/ssrn.5180508", "sources": [ { "db": "openalex", "stream": "UAV", "query_id": "UAV-3" } ], "streams": [ "UAV" ], "relevance_signals": [ "UAV_NO_CTX" ], "auto_exclude_reason": "EC-4-topic", "screening_status": "auto_excluded", "screened_by": "auto-v1.0.0" }, { "id": "doi:10.1139/dsa-2025-0020", "doi": "10.1139/dsa-2025-0020", "title": "Centralized and distributed optimization of advanced air mobility strategic traffic management", "year": 2025, "authors": [ "Joseph T. Kim", "Max Z. Li", "Ella M. Atkins", "Giovanni Franzini", "K. Wadhwani", "Stefano Riverso" ], "first_author": "Joseph T. Kim", "venue": "Drone Systems and Applications", "volume": "14", "pages": null, "type": "article", "language": "en", "abstract": "Effective traffic management for advanced air mobility (AAM) operations in low-altitude urban airspace is crucial for safety and scalability. Our study aims to bridge a critical gap in AAM traffic management by minimizing travel delays in both centralized and distributed providers of services for urban air mobility (PSU) settings. Key contributions include methods to (1) sectorize urban airspace for effective AAM management, (2) centrally plan AAM routes considering limited capacities in corridors and vertiports, and (3) manage airspace in distributed PSU settings while considering traffic flow capacities and interactions among PSUs. Specifically, the research combines community detection algorithms with Voronoi diagrams to sectorize individual PSU airspace. Corridor route planning is performed with a custom-weighted Dijkstra’s algorithm. Centralized AAM traffic flow management adopts mixed-integer programming (MIP) to minimize overall network delay costs. Distributed PSU network management is formulated as bi-level optimization using cooperative game theory and MIP, where individual PSUs update their strategies based on game theory outcomes. The simulation environment features a randomized no-fly zone, population density maps, and vertiport capacities assigned to artificial cities. Three vehicle configurations with varying ranges and adjustable speeds (i.e., minimum to cruise speeds) are simulated under three service priorities in Monte Carlo simulations. AAM flight operations are evaluated by optimization cost and runtime. This research provides a technical framework and insights into the comparison of centralized and distributed AAM network managements. The paper will facilitate informed decision-making in the development and implementation of AAM traffic management strategies.", "keywords": [ "Air traffic management", "Air traffic control", "Game theory", "Cruise missile", "Traffic flow (computer networking)", "Key (lock)", "Bridge (graph theory)", "Population", "Flow network" ], "cited_by_openalex": 1, "cited_by_scopus": "1", "eid": "2-s2.0-105027558381", "pii": null, "open_access_url": "https://doi.org/10.1139/dsa-2025-0020", "sources": [ { "db": "openalex", "stream": "UAV", "query_id": "UAV-3" }, { "db": "scopus", "stream": "UAV", "query_id": "UAV-3" } ], "streams": [ "UAV" ], "relevance_signals": [ "UAV_NO_CTX" ], "auto_exclude_reason": "EC-4-topic", "screening_status": "auto_excluded", "screened_by": "auto-v1.0.0" }, { "id": "doi:10.2514/6.2025-3637", "doi": "10.2514/6.2025-3637", "title": "Integrating Aircraft Performance in Traffic Flow Management Analysis for Advanced Air Mobility", "year": 2025, "authors": [ "Víctor M. González", "Jacqueline L. Huynh" ], "first_author": "Víctor M. González", "venue": "AIAA Aviation Forum and Ascend 2025", "volume": null, "pages": null, "type": "conference-paper", "language": "en", "abstract": "The development of Advanced Air Mobility and integration into the existing airspace infrastructure will require substantial research and development regarding how vehicles with diverse performance capabilities will operate cooperatively and safely in congested airspace. The density of air traffic for AAM is projected to increase substantially, requiring a dependency on reliable traffic flow management methods for efficient and safe operations. Effective integration of AAM will hinge on the ability to develop robust, alternative flow management techniques tailored specifically to the unique demands of AAM. This research presents the development and application of an air traffic management simulation framework designed for integrating Advanced Air Mobility (AAM) operations within a defined airspace, using the open-source simulation platform, BlueSky. By characterizing an AAM airspace with a demand model, vertiport network, and cooperative area definitions, the framework is capable of evaluating different methods of traffic flow management applied to a mix fleet of unique AAM vehicles. This framework enables assessment of airspace performance metrics—including operational efficiency, safety, energy usage, and community noise exposure, of which are governed by the heterogeneous performance envelopes of the distinct vehicles within a mixed fleet. The framework was exercised for an example AAM airspace design in the Dallas/Fort Worth region, incorporating a departure scheduling algorithm and a speed-based conflict resolution method. System efficiency, safety, energy use, and community noise were assessed across varying demand levels. Results show that the speed-based algorithm resolves over 90% of arrival conflicts across all demands, though it increases energy consumption, particularly for faster aircraft. A method for modeling community noise exposure is developed and suggests that the conflict resolution algorithm reduces exposure regions, particularly near vertiports.", "keywords": [ "Computer science" ], "cited_by_openalex": 1, "cited_by_scopus": "1", "eid": "2-s2.0-105018045331", "pii": null, "open_access_url": "https://doi.org/10.2514/6.2025-3637", "sources": [ { "db": "openalex", "stream": "UAV", "query_id": "UAV-3" }, { "db": "scopus", "stream": "UAV", "query_id": "UAV-3" } ], "streams": [ "UAV" ], "relevance_signals": [ "UAV_NO_CTX" ], "auto_exclude_reason": "EC-4-topic", "screening_status": "auto_excluded", "screened_by": "auto-v1.0.0" }, { "id": "doi:10.70594/brain/16.2/26", "doi": "10.70594/brain/16.2/26", "title": "Innovative Research on Transportation using Trucks and Drones", "year": 2025, "authors": [ "Sorin Ionut Conea", "Valer Nimineț" ], "first_author": "Sorin Ionut Conea", "venue": "BRAIN BROAD RESEARCH IN ARTIFICIAL INTELLIGENCE AND NEUROSCIENCE", "volume": null, "pages": null, "type": "article", "language": "en", "abstract": "This paper investigates the development and implementation of a hybrid transportation system that integrates the advantages of trucks and drones to optimise delivery processes. Considering the continuous growth in demand for rapid and efficient delivery services, our approach presents an innovative model that combines the reliability of road transport with the agility and speed of aerial delivery. Starting from a detailed analysis of logistics networks in Bacău County, Romania, our study develops and applies a routing algorithm using Google's OR-Tools. For truck transportation, real distances between towns were utilised, allowing the calculation of routes for both transportation modes, taking into account their specific characteristics. Computational experiments demonstrate that the proposed method is both fast and reliable.", "keywords": [ "Drone", "Truck", "Aeronautics", "Transport engineering", "Computer science", "Business", "Automotive engineering", "Engineering", "Biology" ], "cited_by_openalex": 1, "cited_by_scopus": 0, "eid": null, "pii": null, "open_access_url": "https://brain.edusoft.ro/index.php/brain/article/download/1819/2306", "sources": [ { "db": "openalex", "stream": "UAV", "query_id": "UAV-3" } ], "streams": [ "UAV" ], "relevance_signals": [ "UAV_NO_CTX", "TRUCK_NO_CTX" ], "auto_exclude_reason": "EC-4-topic", "screening_status": "auto_excluded", "screened_by": "auto-v1.0.0" }, { "id": "doi:10.1007/978-3-031-89553-1_20", "doi": "10.1007/978-3-031-89553-1_20", "title": "Advanced Air Mobility: Regulatory Trends, Societal Implications and Relations with Manned Air Transport", "year": 2025, "authors": [ "Andrea Trimarchi" ], "first_author": "Andrea Trimarchi", "venue": "Sustainable aviation", "volume": null, "pages": null, "type": "conference-paper", "language": "en", "abstract": null, "keywords": [ "Drone", "SAFER", "Public transport", "Sustainable transport", "Air transport", "Emerging technologies", "Aviation" ], "cited_by_openalex": 1, "cited_by_scopus": 0, "eid": null, "pii": null, "open_access_url": "https://doi.org/10.1007/978-3-031-89553-1_20", "sources": [ { "db": "openalex", "stream": "UAV", "query_id": "UAV-3" } ], "streams": [ "UAV" ], "relevance_signals": [ "UAV_NO_CTX" ], "auto_exclude_reason": "EC-4-topic", "screening_status": "auto_excluded", "screened_by": "auto-v1.0.0" }, { "id": "doi:10.1109/sose66311.2025.11083807", "doi": "10.1109/sose66311.2025.11083807", "title": "Urban Air Mobility as a System of Systems: An LLM-Enhanced Holonic Approach", "year": 2025, "authors": [ "Ahmed R. Sadik", "Muhammad Muzamal Ashfaq", "Niko Mäkitalo", "Tommi Mikkonen" ], "first_author": "Ahmed R. Sadik", "venue": null, "volume": null, "pages": null, "type": "conference-paper", "language": "en", "abstract": "Urban Air Mobility (UAM) is an emerging System of System (SoS) that faces challenges in system architecture, planning, task management, and execution. Traditional architectural approaches struggle with scalability, adaptability, and seamless resource integration within dynamic and complex environments. This paper presents an intelligent holonic architecture that incorporates Large Language Model (LLM) to manage the complexities of UAM. Holons function semi-autonomously, allowing for real-time coordination among air taxis, ground transport, and vertiports. LLMs process natural language inputs, generate adaptive plans, and manage disruptions such as weather changes or airspace closures. Through a case study of multimodal transportation with electric scooters and air taxis, we demonstrate how this architecture enables dynamic resource allocation, real-time replanning, and autonomous adaptation without centralized control, creating more resilient and efficient urban transportation networks. By advancing decentralized control and AI-driven adaptability, this work lays the groundwork for resilient, human-centric UAM ecosystems, with future efforts targeting hybrid AI integration and real-world validation.", "keywords": [ "Computer science" ], "cited_by_openalex": 1, "cited_by_scopus": 0, "eid": null, "pii": null, "open_access_url": "https://doi.org/10.1109/sose66311.2025.11083807", "sources": [ { "db": "openalex", "stream": "UAV", "query_id": "UAV-3" } ], "streams": [ "UAV" ], "relevance_signals": [ "UAV" ], "auto_exclude_reason": null, "screening_status": "pending_human_screening", "screened_by": "auto-v1.0.0" }, { "id": "doi:10.2514/6.2025-3240", "doi": "10.2514/6.2025-3240", "title": "Operational Air Taxi Flight Routes in a Metropolitan Region", "year": 2025, "authors": [ "Jordan K. Kam", "Matthias Cassanova", "Vishwanath Bulusu", "Alexandre M. Bayen", "Raja Sengupta" ], "first_author": "Jordan K. Kam", "venue": null, "volume": null, "pages": null, "type": "conference-paper", "language": "en", "abstract": "Aviation technology advances in Urban Air Mobility (UAM) will bring new aircraft to the National Airspace System (NAS) and with it near-term operational barriers: traffic density, Class B/C overlap, and pilot-controller workload. This article presents the design and evaluation of four operational air taxi flight routes for manned flight of electric vertical takeoff and landing (eVTOL) aircraft in the San Francisco Bay Area network (SF network). In the SF network, where many complex, congested, and controlled airspaces restrict flight, pilot-selected operational flight routes utilizing legacy General Aviation (GA) flyways and transition routes would allow these aircraft to operate near-term. This article also presents direction-specific flight mission profiles between vertiports located at the Richmond Field Station (RFS) at the University of California, Berkeley, and the Berkeley Space Center at NASA Ames Research Center. Lastly, using Automatic Dependent Surveillance-Broadcast (ADS-B) flight data, a feasibility study on congestion of the routes is presented from aircraft in the SF network. This feasibility study observes flight density, dwell time duration, and number of unique aircraft. As eVTOLs hit the market in the coming years, operational flight routes could allow near-term integration and operation in congested airspaces. The methodology is readily extensible to other megaregions and validated with over 60 thousand ADS-B points.", "keywords": [ "Metropolitan area", "Aeronautics", "Computer science", "Transport engineering", "Air traffic control", "Aerospace engineering", "Engineering", "Geography" ], "cited_by_openalex": 1, "cited_by_scopus": 0, "eid": null, "pii": null, "open_access_url": "https://doi.org/10.2514/6.2025-3240", "sources": [ { "db": "openalex", "stream": "UAV", "query_id": "UAV-3" } ], "streams": [ "UAV" ], "relevance_signals": [ "UAV_NO_CTX" ], "auto_exclude_reason": "EC-4-topic", "screening_status": "auto_excluded", "screened_by": "auto-v1.0.0" }, { "id": "doi:10.2514/6.2025-3399", "doi": "10.2514/6.2025-3399", "title": "Markov Decision Process Contingency Landing Management Autonomy for Advanced Air Mobility", "year": 2025, "authors": [ "Abidemi A. Akinola", "Ella M. Atkins" ], "first_author": "Abidemi A. Akinola", "venue": "AIAA Aviation Forum and Ascend 2025", "volume": null, "pages": null, "type": "conference-paper", "language": "en", "abstract": "This paper presents a Markov Decision Process (MDP) based Contingency Management Autonomy (CMA) framework for electric vertical take-off and landing (eVTOL) aircraft with a decentralized battery-thruster propulsion system. A CMA Mission MDP is designed to identify low energy situations requiring a contingency landing. Based on reachability margin, the CMA MDP selects a Lift mode contingency vertiport landing given sufficient energy reserves and a more energy efficient Cruise mode runway landing otherwise. A modular simulation framework incorporating a multi-modal eVTOL surrogate model and waypoint and Dubins Cruise flight planner is developed to support real-time landing planning. The simulation computes battery end of discharge and reachability margin for use during CMA MDP policy execution. Results from a scenario involving onboard battery pack failures demonstrate the policy’s ability to select an energy-efficient runway landing that reduces total required energy by a factor of 18 compared to alternative vertical landing plans. This significant difference is due to the Cruise mode trajectory’s near-glide flight path angle leading to a stable 3 degree final runway approach. Results show the potential of CMA to enhance operational safety in future eVTOL operations.", "keywords": [ "Markov decision process", "Computer science", "Markov process", "Process (computing)", "Autonomy", "Contingency", "Decision process", "Operations research", "Process management", "Engineering", "Mathematics", "Operating system" ], "cited_by_openalex": 1, "cited_by_scopus": "1", "eid": "2-s2.0-105018054165", "pii": null, "open_access_url": "https://doi.org/10.2514/6.2025-3399", "sources": [ { "db": "openalex", "stream": "UAV", "query_id": "UAV-3" }, { "db": "scopus", "stream": "UAV", "query_id": "UAV-3" } ], "streams": [ "UAV" ], "relevance_signals": [ "UAV_NO_CTX" ], "auto_exclude_reason": "EC-4-topic", "screening_status": "auto_excluded", "screened_by": "auto-v1.0.0" }, { "id": "doi:10.56557/upjoz/2025/v46i175205", "doi": "10.56557/upjoz/2025/v46i175205", "title": "Advances in Biological Control of Crop Pests through Entomopathogenic Nematodes: A Review", "year": 2025, "authors": [ "Neelesh Raypuriya", "Rajan Ghanghas", "Arundhati Das", "Priyanka Priyadarshini", "Sateesh Yadav", "Janhavi Dose", "Sumit Mehla", "Sourabh Maheshwari" ], "first_author": "Neelesh Raypuriya", "venue": "UTTAR PRADESH JOURNAL OF ZOOLOGY", "volume": null, "pages": null, "type": "article", "language": "en", "abstract": "Entomopathogenic nematodes (EPNs) belonging to the families Steinernematidae and Heterorhabditidae have emerged as promising biological control agents due to their ability to target a wide range of insect pests in agricultural, horticultural, and forestry systems. Their unique symbiotic association with Xenorhabdus and Photorhabdus bacteria enables rapid insect mortality through septicemia, toxin production, and suppression of host immunity. Over the past three decades, extensive research has advanced the understanding of their biology, ecology, and host–pathogen interactions, leading to the development of efficient in vivo and in vitro mass production systems. Modern formulation technologies such as alginate capsules, gels, nanoemulsions, and oil-based carriers have improved shelf life, stress tolerance, and field applicability. Application innovations, including soil drenches, foliar sprays, seed coatings, root dips, and mechanized or drone-based delivery, have expanded their use against pests such as cutworms, white grubs, armyworms, and borers, while case studies worldwide have demonstrated successful integration into integrated pest management (IPM) programs. Synergistic interactions with entomopathogenic fungi, Bacillus thuringiensis, parasitoids, predators, and botanicals further enhance their efficacy while reducing reliance on synthetic pesticides. Molecular tools, including phylogenetics, genomics, transcriptomics, and proteomics, have provided insights into virulence and adaptation, while CRISPR-based genome editing and biotechnology approaches show potential for engineering climate-resilient strains with enhanced infectivity and persistence. Despite these advances, challenges such as inconsistent large-scale field efficacy, high production costs, limited farmer awareness, and logistical constraints in storage and transport hinder widespread adoption. Regulatory frameworks, biosafety protocols, and extension services play a crucial role in ensuring safe and sustainable use. Looking ahead, the development of climate-resilient strains, precision agriculture integration, nano-formulations, and global commercialization initiatives will strengthen the role of EPNs as core components of sustainable pest management, contributing to reduced pesticide dependency, environmental safety, and long-term agricultural productivity.", "keywords": [ "Biological pest control", "Natural enemies", "Biology", "Agronomy", "Crop protection", "Crop", "Entomopathogenic fungi", "Pest control", "Chemical control", "Agroforestry", "Biotechnology", "Ecology" ], "cited_by_openalex": 1, "cited_by_scopus": 0, "eid": null, "pii": null, "open_access_url": "https://doi.org/10.56557/upjoz/2025/v46i175205", "sources": [ { "db": "openalex", "stream": "UAV", "query_id": "UAV-3" } ], "streams": [ "UAV" ], "relevance_signals": [ "UAV_NO_CTX" ], "auto_exclude_reason": "EC-4-topic", "screening_status": "auto_excluded", "screened_by": "auto-v1.0.0" }, { "id": "doi:10.1109/icm66518.2025.11322518", "doi": "10.1109/icm66518.2025.11322518", "title": "SkyAid: A Low-Cost Autonomous Hexacopter for Resilient Medical Supply Delivery in GPS-Denied Environments", "year": 2025, "authors": [ "Mohamad Abou Ali", "Khallad Mustafa", "Reem Kisanieh", "Mohamad Hajj-Hassan", "Abdallah Kassem", "Ali Cherry" ], "first_author": "Mohamad Abou Ali", "venue": "Proceedings of the International Conference on Microelectronics Icm", "volume": null, "pages": null, "type": "conference-paper", "language": null, "abstract": "In regions facing severe economic and infrastructural challenges, such as Lebanon, conventional Emergency Medical Services (EMS) are frequently hindered by logistical delays that compromise critical care. This paper presents SkyAid, a low-cost, autonomous hexacopter designed for rapid aerial delivery of medical supplies under eal-world constraints, including component scarcity and unreliable GPS. The system integrates a Pixhawk flight controller, ultrasonic obstacle avoidance, and telemetry for real-time monitoring, achieving 25-minute flight times with 2 kg payloads-demonstrated through rigorous testing of propulsion (thrust-toweight ratio: 2.44:1), navigation accuracy ($<1 ~\\mathrm{m}$delivery error), and GPS-denied operation. By leveraging off-the-shelf components (<$ 2,000 total cost) and open-source software, SkyAid provides a replicable, resilient model for EMS augmentation in resource-limited settings. Experimental results validate its operational readiness, while future work outlines pathways for enhanced autonomy (RTK GPS, AI-driven routing) and scalability (swarm coordination, extended range). This work bridges the gap between academic prototypes and commercial systems, offering a practical, field-deployable solution to address time-sensitive healthcare gaps in underserved regions.", "keywords": [ "Obstacle", "Scarcity", "Drone", "Work (physics)", "Scalability", "Component (thermodynamics)", "Propulsion", "Compromise" ], "cited_by_openalex": 1, "cited_by_scopus": "1", "eid": "2-s2.0-105032471674", "pii": null, "open_access_url": "https://doi.org/10.1109/icm66518.2025.11322518", "sources": [ { "db": "openalex", "stream": "UAV", "query_id": "UAV-3" }, { "db": "scopus", "stream": "UAV", "query_id": "UAV-3" } ], "streams": [ "UAV" ], "relevance_signals": [ "UAV_NO_CTX" ], "auto_exclude_reason": "EC-4-topic", "screening_status": "auto_excluded", "screened_by": "auto-v1.0.0" }, { "id": "doi:10.3390/aerospace12070605", "doi": "10.3390/aerospace12070605", "title": "Enhancing Urban Air Mobility Scheduling Through Declarative Reasoning and Stakeholder Modeling", "year": 2025, "authors": [ "Jeongseok Kim", "KyuRang Kim" ], "first_author": "Jeongseok Kim", "venue": "Aerospace", "volume": "12", "pages": null, "type": "article", "language": "en", "abstract": "The goal of this paper is to optimize mission schedules for vertical airports (vertiports in short) to satisfy the different needs of stakeholders. We model the problem as a resource-constrained project scheduling problem (RCPSP) to obtain the best resource allocation and schedule. As a new approach to solving the RCPSP, we propose answer set programming (ASP). This is in contrast to the existing research using MILP as a solution to the RCPSP. Our approach can take complex scheduling restrictions and stakeholder-specific requirements. In addition, we formalize and include stakeholder needs using a knowledge representation and reasoning framework. Our experiments show that the proposed method can generate practical schedules that reflect what stakeholders actually need. In particular, we show that our approach can compute optimal schedules more efficiently and flexibly than previous approaches. We believe that this approach is suitable for the dynamic and complex environments of vertiports.", "keywords": [ "Scheduling (production processes)", "Computer science", "Stakeholder", "Engineering", "Political science", "Operations management", "Public relations" ], "cited_by_openalex": 0, "cited_by_scopus": "1", "eid": "2-s2.0-105011628060", "pii": null, "open_access_url": "https://www.mdpi.com/2226-4310/12/7/605/pdf?version=1751547089", "sources": [ { "db": "openalex", "stream": "UAV", "query_id": "UAV-3" }, { "db": "scopus", "stream": "UAV", "query_id": "UAV-3" } ], "streams": [ "UAV" ], "relevance_signals": [ "UAV_NO_CTX" ], "auto_exclude_reason": "EC-4-topic", "screening_status": "auto_excluded", "screened_by": "auto-v1.0.0" }, { "id": "doi:10.1109/dasc66011.2025.11257303", "doi": "10.1109/dasc66011.2025.11257303", "title": "Investigating Cyclic Airspace Corridor Optimization for UAS Traffic Management Based on Deep Reinforcement Learning", "year": 2025, "authors": [ "Rodolphe Fremond", "Matthieu Verdoucq", "Zeynep Bilgin", "Murat Bronz" ], "first_author": "Rodolphe Fremond", "venue": "AIAA IEEE Digital Avionics Systems Conference Proceedings", "volume": null, "pages": null, "type": "conference-paper", "language": "en", "abstract": "As drone traffic increases in urban and suburban environments, more complex airspace structures will be required to accommodate rising demand. Unmanned Aircraft System (UAS) Traffic Management (UTM) service providers risk becoming overwhelmed by the time and resource demands of granting flight authorizations, for both human and automated systems. This research proposes the Cyclic Corridor Concept$\\left(C^{3}\\right)$: a strategic, centralized UTM service architecture designed to offload flight planning trade-offs. The$C^{3}$introduces two vertically separated, unidirectional cyclic corridors within Very Low Level (VLL) airspace. These corridors loop clockwise and counterclockwise through urban areas, passing close to multiple vertiports to ensure fair access and enhance operational efficiency in congested airspace. We investigate the use of Reinforcement Learning (RL) to optimize the corridor's trajectory, accounting for urban constraints such as no-fly zones derived from risk assessments. The proposed method rapidly generates feasible solutions under diverse airspace configurations, enabling near real-time applicability. Results highlight the benefits of$C^{3}$in reducing UTM provider workload as vertiport network complexity increases. The system generates visually intuitive and safe corridors, reducing the need for strategic deconfliction and rerouting. Although the$C^{3}$design may incur additional travel distance, this is offset by faster flight authorizations and more evenly distributed delays across dense traffic flows.", "keywords": [ "Drone", "Workload", "Reinforcement learning", "Air traffic control", "Offset (computer science)", "Resource allocation", "Service (business)", "Architecture" ], "cited_by_openalex": 0, "cited_by_scopus": "1", "eid": "2-s2.0-105029899362", "pii": null, "open_access_url": "https://enac.hal.science/hal-05525326", "sources": [ { "db": "openalex", "stream": "UAV", "query_id": "UAV-3" }, { "db": "scopus", "stream": "UAV", "query_id": "UAV-3" } ], "streams": [ "UAV" ], "relevance_signals": [ "UAV_NO_CTX" ], "auto_exclude_reason": "EC-4-topic", "screening_status": "auto_excluded", "screened_by": "auto-v1.0.0" }, { "id": "doi:10.2514/6.2025-3138", "doi": "10.2514/6.2025-3138", "title": "Contextualizing the Acoustics of Joby Aviation Aircraft Operations with an Ambient Noise Model", "year": 2025, "authors": [ "Austin Thai", "Jeremy J. Bain", "David Y. Josephson", "Ryan Naru", "Shane V. Lympany", "Juliet A. Page" ], "first_author": "Austin Thai", "venue": "AIAA Aviation Forum and Ascend 2025", "volume": null, "pages": null, "type": "conference-paper", "language": "en", "abstract": "Acoustics simulations of the Joby Aviation S4 aircraft and a representative helicopter are conducted to estimate the noise impact of sample flight operations in an urban environment. A physics-informed machine learning model of ambient noise is used to provide context to the acoustic impact on the local community around a representative heliport for realistic flight operations. Sample flights between the Maguire California Hospital heliport and a heliport at the John Wayne airport are explored. The simulations show that flyover noise between the heliports for the majority of the flight with the S4 will be below the ambient levels unlike the helicopter. Analysis of approach and departure operations of the Joby aircraft show significantly less acoustic impact than the helicopter, with much lower peak levels and sound exposure. In addition, investigation of potentially noise-sensitive locations near the vertiport reveals that daytime flights of the Joby aircraft never exceed the ambient. Accurately predicting potential community noise impacts from Joby aircraft operations requires further understanding of ambient conditions and masking effects - beyond what is typically accounted for in conventional modeling approaches.", "keywords": [ "Aviation", "Acoustics", "Noise (video)", "Aircraft noise", "Aeronautics", "Computer science", "Ambient noise level", "Aerospace engineering", "Environmental science", "Engineering", "Sound (geography)", "Physics" ], "cited_by_openalex": 0, "cited_by_scopus": "1", "eid": "2-s2.0-105017966405", "pii": null, "open_access_url": "https://doi.org/10.2514/6.2025-3138", "sources": [ { "db": "openalex", "stream": "UAV", "query_id": "UAV-3" }, { "db": "scopus", "stream": "UAV", "query_id": "UAV-3" } ], "streams": [ "UAV" ], "relevance_signals": [ "UAV_NO_CTX" ], "auto_exclude_reason": "EC-4-topic", "screening_status": "auto_excluded", "screened_by": "auto-v1.0.0" }, { "id": "doi:10.1177/03611981251394979", "doi": "10.1177/03611981251394979", "title": "Multi-Objective Arrival Trajectory Optimization for Urban Air Mobility: Sustainable Electric Vertical Take-Off and Landing Operations with Delayed Deceleration", "year": 2025, "authors": [ "Haotian Yang", "Meilong Le" ], "first_author": "Haotian Yang", "venue": "Transportation Research Record Journal of the Transportation Research Board", "volume": "2680", "pages": "435-454", "type": "article", "language": "en", "abstract": "With the rapid expansion of urban air mobility (UAM), electric vertical take-off and landing (eVTOL) aircraft increasingly face energy and noise challenges during low-altitude approaches, affecting vertiport terminal control area (VTCA) efficiency. Most existing studies focus on optimizing a single objective, such as energy consumption, but fail to simultaneously address the trade-offs among noise, delay, and efficiency. Moreover, the absence of a scalable, macroscopic resource allocation framework in the VTCA context limits current efforts to achieve coordinated and efficient UAM traffic management. This study proposes an arrival sequencing and scheduling framework formulated as a multi-objective optimization problem. By extending the efficient cruise phase via a delayed-deceleration approach, this study first deeply couples the physical mechanism of rotor interference with a nondominated sorting genetic algorithm II (NSGA-II) multi-objective evolutionary strategy to achieve collaborative optimization of trajectory parameters and power distribution. A case study in the Mangrove Sanya VTCA, located in the Haitang Bay urban area, China, shows the proposed method, compared with traditional first-come-first-served sequencing, reduces the high-noise area by about 35%, peak noise by up to 8 dB, energy consumption by 16%, and average delays by 31%. Results indicate this approach effectively mitigates environmental impacts while enhancing operational efficiency, supporting sustainable air-traffic management for UAM.", "keywords": [ "Context (archaeology)", "Sorting", "Trajectory", "Scheduling (production processes)", "Energy consumption", "Genetic algorithm", "Cruise", "Noise pollution", "Efficient energy use" ], "cited_by_openalex": 0, "cited_by_scopus": "1", "eid": "2-s2.0-105024816698", "pii": null, "open_access_url": "https://doi.org/10.1177/03611981251394979", "sources": [ { "db": "openalex", "stream": "UAV", "query_id": "UAV-3" }, { "db": "scopus", "stream": "UAV", "query_id": "UAV-3" } ], "streams": [ "UAV" ], "relevance_signals": [ "UAV_NO_CTX" ], "auto_exclude_reason": "EC-4-topic", "screening_status": "auto_excluded", "screened_by": "auto-v1.0.0" }, { "id": "doi:10.1007/978-981-96-9805-9_17", "doi": "10.1007/978-981-96-9805-9_17", "title": "A Multi-Strategy Polar Lights Optimizer for Airborne Emergency Material Transportation Tasks in Complex Plateau Regions", "year": 2025, "authors": [ "Chengcheng Chen", "Jiatong Liu", "Mingbin Wang", "Xianchang Wang", "Helong Yu", "Jiehong Wu", "Hua Ming Yang", "Huiling Chen" ], "first_author": "Chengcheng Chen", "venue": "Lecture notes in computer science", "volume": "15858 LNCS", "pages": "205-216", "type": "conference-paper", "language": "en", "abstract": null, "keywords": [ "Computer science", "Plateau (mathematics)", "Polar", "Real-time computing", "Operations research", "Simulation", "Remote sensing", "Geology", "Engineering" ], "cited_by_openalex": 0, "cited_by_scopus": "1", "eid": "2-s2.0-105012818581", "pii": null, "open_access_url": "https://doi.org/10.1007/978-981-96-9805-9_17", "sources": [ { "db": "openalex", "stream": "UAV", "query_id": "UAV-3" }, { "db": "scopus", "stream": "UAV", "query_id": "UAV-3" } ], "streams": [ "UAV" ], "relevance_signals": [ "NO_TECHNOLOGY_MATCH" ], "auto_exclude_reason": "EC-4-topic", "screening_status": "auto_excluded", "screened_by": "auto-v1.0.0" }, { "id": "doi:10.1016/j.retrec.2025.101627", "doi": "10.1016/j.retrec.2025.101627", "title": "Emerging economic geography of urban restaurants as freight generators: Logistics policy implications for managing dark kitchens and food trucks", "year": 2025, "authors": [ "Mishra S." ], "first_author": "Mishra S.", "venue": "Research in Transportation Economics", "volume": "113", "pages": null, "type": "Article", "language": null, "abstract": null, "keywords": [], "cited_by_openalex": 0, "cited_by_scopus": "1", "eid": "2-s2.0-105014800050", "pii": "S0739885925001106", "open_access_url": null, "sources": [ { "db": "scopus", "stream": "TRUCK", "query_id": "TRUCK-1" } ], "streams": [ "TRUCK" ], "relevance_signals": [ "TRUCK_NO_CTX" ], "auto_exclude_reason": "EC-4-topic", "screening_status": "auto_excluded", "screened_by": "auto-v1.0.0" }, { "id": "doi:10.1088/1742-6596/3123/1/012052", "doi": "10.1088/1742-6596/3123/1/012052", "title": "Design and Implementation of Modular Autonomous Logistic Solutions on Urban Waterways", "year": 2025, "authors": [ "Genschorek C." ], "first_author": "Genschorek C.", "venue": "Journal of Physics Conference Series", "volume": "3123", "pages": null, "type": "Conference Paper", "language": null, "abstract": null, "keywords": [], "cited_by_openalex": 0, "cited_by_scopus": "1", "eid": "2-s2.0-105021213840", "pii": null, "open_access_url": null, "sources": [ { "db": "scopus", "stream": "TRUCK", "query_id": "TRUCK-1" } ], "streams": [ "TRUCK" ], "relevance_signals": [ "NO_TECHNOLOGY_MATCH" ], "auto_exclude_reason": "EC-4-topic", "screening_status": "auto_excluded", "screened_by": "auto-v1.0.0" }, { "id": "doi:10.1016/j.apenergy.2025.125945", "doi": "10.1016/j.apenergy.2025.125945", "title": "The vehicle charging problem with renewable energy sources in freight transport: Model and application", "year": 2025, "authors": [ "Dimitriou P." ], "first_author": "Dimitriou P.", "venue": "Applied Energy", "volume": "392", "pages": null, "type": "Article", "language": null, "abstract": null, "keywords": [], "cited_by_openalex": 0, "cited_by_scopus": "1", "eid": "2-s2.0-105003382075", "pii": "S0306261925006750", "open_access_url": null, "sources": [ { "db": "scopus", "stream": "TRUCK", "query_id": "TRUCK-1" } ], "streams": [ "TRUCK" ], "relevance_signals": [ "NO_TECHNOLOGY_MATCH" ], "auto_exclude_reason": "EC-4-topic", "screening_status": "auto_excluded", "screened_by": "auto-v1.0.0" }, { "id": "doi:10.1016/j.ifacol.2025.09.390", "doi": "10.1016/j.ifacol.2025.09.390", "title": "Optimizing Urban Freight Delivery in an Electric Feeder Vehicle Routing Problem", "year": 2025, "authors": [ "Sheikhasadi M." ], "first_author": "Sheikhasadi M.", "venue": "IFAC Papersonline", "volume": "59", "pages": "2321-2326", "type": "Conference Paper", "language": null, "abstract": null, "keywords": [], "cited_by_openalex": 0, "cited_by_scopus": "1", "eid": "2-s2.0-105018796058", "pii": "S240589632501153X", "open_access_url": null, "sources": [ { "db": "scopus", "stream": "TRUCK", "query_id": "TRUCK-1" }, { "db": "scopus", "stream": "TRUCK", "query_id": "TRUCK-2" } ], "streams": [ "TRUCK" ], "relevance_signals": [ "NO_TECHNOLOGY_MATCH" ], "auto_exclude_reason": "EC-4-topic", "screening_status": "auto_excluded", "screened_by": "auto-v1.0.0" }, { "id": "doi:10.17270/j.log.001150", "doi": "10.17270/j.log.001150", "title": "LOGISTICS PLANNING STRATEGIES FOR SEASONAL TRAFFIC MANAGEMENT", "year": 2025, "authors": [ "Dabo A.A.A." ], "first_author": "Dabo A.A.A.", "venue": "Logforum", "volume": "21", "pages": "167-181", "type": "Article", "language": null, "abstract": null, "keywords": [], "cited_by_openalex": 0, "cited_by_scopus": "1", "eid": "2-s2.0-105010316748", "pii": null, "open_access_url": null, "sources": [ { "db": "scopus", "stream": "TRUCK", "query_id": "TRUCK-1" } ], "streams": [ "TRUCK" ], "relevance_signals": [ "NO_TECHNOLOGY_MATCH" ], "auto_exclude_reason": "EC-4-topic", "screening_status": "auto_excluded", "screened_by": "auto-v1.0.0" }, { "id": "doi:10.1007/978-3-031-95284-5_76", "doi": "10.1007/978-3-031-95284-5_76", "title": "Decarbonising Last Mile Logistics", "year": 2025, "authors": [ "Levrey M." ], "first_author": "Levrey M.", "venue": "Lecture Notes in Mobility", "volume": "Part F658", "pages": "536-542", "type": "Book Chapter", "language": null, "abstract": null, "keywords": [], "cited_by_openalex": 0, "cited_by_scopus": "1", "eid": "2-s2.0-105011980278", "pii": null, "open_access_url": null, "sources": [ { "db": "scopus", "stream": "TRUCK", "query_id": "TRUCK-1" } ], "streams": [ "TRUCK" ], "relevance_signals": [ "NO_TECHNOLOGY_MATCH" ], "auto_exclude_reason": "EC-4-topic", "screening_status": "auto_excluded", "screened_by": "auto-v1.0.0" }, { "id": "doi:10.19721/j.cnki.1001-7372.2025.10.024", "doi": "10.19721/j.cnki.1001-7372.2025.10.024", "title": "Method and Application of Recognizing Semantic Stopping Points for Container Trailers Based 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"first_author": "Ison D.", "venue": "Collegiate Aviation Review", "volume": "43", "pages": "164-190", "type": "Article", "language": null, "abstract": null, "keywords": [], "cited_by_openalex": 0, "cited_by_scopus": "1", "eid": "2-s2.0-105011733470", "pii": null, "open_access_url": null, "sources": [ { "db": "scopus", "stream": "UAV", "query_id": "UAV-3" } ], "streams": [ "UAV" ], "relevance_signals": [ "UAV_NO_CTX" ], "auto_exclude_reason": "EC-4-topic", "screening_status": "auto_excluded", "screened_by": "auto-v1.0.0" }, { "id": "title:vertiport placement for urban air mobility to reduce time for multimodal travel", "doi": null, "title": "Vertiport Placement for Urban Air Mobility to Reduce Time for Multimodal Travel", "year": 2025, "authors": [ "Chati Y.S." ], "first_author": "Chati Y.S.", "venue": "16th Usa Europe Seminar on Air Traffic Management Research and Development ATM 2025", "volume": null, "pages": null, "type": "Conference Paper", "language": null, "abstract": null, "keywords": [], "cited_by_openalex": 0, "cited_by_scopus": "1", "eid": "2-s2.0-105031917230", "pii": null, "open_access_url": null, "sources": [ { "db": "scopus", "stream": "UAV", "query_id": "UAV-3" } ], "streams": [ "UAV" ], "relevance_signals": [ "UAV_NO_CTX" ], "auto_exclude_reason": "EC-4-topic", "screening_status": "auto_excluded", "screened_by": "auto-v1.0.0" }, { "id": "doi:10.2514/6.2025-3487.c1", "doi": "10.2514/6.2025-3487.c1", "title": "Correction: A Spectral Proper Orthogonal Decomposition Analysis of Turbulent Flow Around a High-Rise Building 29 July 2025 (AIAA Aviation Forum and ASCEND, 2025)", "year": 2025, "authors": [ "Maleki A." ], "first_author": "Maleki A.", "venue": "AIAA Aviation Forum and Ascend 2025", "volume": null, "pages": null, "type": "Erratum", "language": null, "abstract": null, "keywords": [], "cited_by_openalex": 0, "cited_by_scopus": "1", "eid": "2-s2.0-105018579730", "pii": null, "open_access_url": null, "sources": [ { "db": "scopus", "stream": "UAV", "query_id": "UAV-3" } ], "streams": [ "UAV" ], "relevance_signals": [ "NO_TECHNOLOGY_MATCH" ], "auto_exclude_reason": "EC-4-topic", "screening_status": "auto_excluded", "screened_by": "auto-v1.0.0" }, { "id": "doi:10.3233/atde250526", "doi": "10.3233/atde250526", "title": "Crowdsourcing Technology Innovation for Last Mile Delivery Based on Routing Clusters and Flight Ranges Using Simulated Annealing", "year": 2025, "authors": [ "Pipit Sari Puspitorini", "Suparno Suparno", "Niniet Indah Arvitrida" ], "first_author": "Pipit Sari Puspitorini", "venue": "Advances in transdisciplinary engineering", "volume": "73", "pages": "136-145", "type": "book-chapter", "language": "en", "abstract": "Crowdsourcing clustering is a strategic decision for partitioning delivery locations into small clusters where the rendezvous point is a launching point (centroid cluster). Crowdsourcing is a resource owned by third-party logistics (3PL) that consists of drone trucks and crowd agents. The main objectives of this study are (i) to develop a mathematical model for optimal clustering and (ii) to determine the routing of package delivery using drones and trucks. To optimize the cluster, we used simulated annealing (SA). SA is a part of the metaheuristic algorithms, which are well-known unsupervised machine learning algorithms. For instance, we used 100 datasets of customer location data to conduct experiments, and the silhouette index was used to validate the proposed model. The novelty of this study lies in the closed-form mathematical solutions for optimal crowdsourcing in delivery considering the delivery range and weight of the package. The brief of this study is to adjudicate (i) a mathematical model of the optimal number of clusters using a power function without overlapping clusters and, (ii) partition routing crowdsourcing to assist delivery by considering range and vehicle capacity.", "keywords": [ "Crowdsourcing", "Last mile (transportation)", "Mile", "Simulated annealing", "Annealing (glass)", "Materials science", "Environmental science", "Computer science", "Geography", "World Wide Web", "Metallurgy", "Machine learning" ], "cited_by_openalex": 1, "cited_by_scopus": "0", "eid": "2-s2.0-105017120176", "pii": null, "open_access_url": "https://doi.org/10.3233/atde250526", "sources": [ { "db": "openalex", "stream": "TRUCK", "query_id": "TRUCK-1" }, { "db": "openalex", "stream": "UAV", "query_id": "UAV-1" }, { "db": "scopus", "stream": "TRUCK", "query_id": "TRUCK-1" }, { "db": "scopus", "stream": "UAV", "query_id": "UAV-1" } ], "streams": [ "TRUCK", "UAV" ], "relevance_signals": [ "UAV", "TRUCK" ], "auto_exclude_reason": null, "screening_status": "pending_human_screening", "screened_by": "auto-v1.0.0" }, { "id": "doi:10.25365/thesis.80115", "doi": "10.25365/thesis.80115", "title": "Last-mile delivery via truck and trolley", "year": 2025, "authors": [ "Boryana Djarova" ], "first_author": "Boryana Djarova", "venue": "University of Vienna", "volume": null, "pages": null, "type": "dissertation", "language": "en", "abstract": "Der starke Anstieg des E-Commerce verstärkt die operativen Herausforderungen der Letzten-Meile-Zustellung, insbesondere in dicht besiedelten Gebieten. Begrenzte Haltemöglichkeiten, Verkehrsdichte und eine wachsende Paketmenge erschweren eine effiziente Tourengestaltung – Aspekte, die in klassischen Optimierungsmodellen wie dem Traveling-Salesman-Problem (TSP) kaum berücksichtigt werden. Diese Arbeit stellt ein integriertes Modell des TSP mit Haltepunktauswahl und Trolley-Kapazitätsbeschränkungen (TSP-PTP) vor, das Fahrzeugrouten, Haltepunkte und fußläufige Zustelltouren gemeinsam optimiert. Das Modell kombiniert ein Bin-Packing-Teilproblem mit einer TSP-ähnlichen Routingstruktur und wird über eine heuristische Vorgehensweise gelöst, die einen Ausgleich zwischen Lösungsqualität und Rechenaufwand ermöglicht. Die Rechenergebnisse zeigen, wie Haltezeiten, maximale Gehstrecken und Trolley-Kapazitäten das Verhältnis zwischen Fahr- und Fußwegen beeinflussen. Zudem wird deutlich, dass Tourenpläne ohne Halte- und Kapazitätsrestriktionen systematisch zu optimistisch ausfallen. Die integrierte Modellierung bildet die realen Bedingungen der Letzten-Meile-Zustellung deutlich besser ab und führt zu effizienteren Touren.", "keywords": [ "Truck", "Workplace safety", "Die (integrated circuit)" ], "cited_by_openalex": 0, "cited_by_scopus": 0, "eid": null, "pii": null, "open_access_url": "https://doi.org/10.25365/thesis.80115", "sources": [ { "db": "openalex", "stream": "TRUCK", "query_id": "TRUCK-1" } ], "streams": [ "TRUCK" ], "relevance_signals": [ "TRUCK" ], "auto_exclude_reason": null, "screening_status": "pending_human_screening", "screened_by": "auto-v1.0.0" }, { "id": "doi:10.1007/978-3-031-82818-8_51", "doi": "10.1007/978-3-031-82818-8_51", "title": "Single-Charge Feasibility Evaluation of Synthetic Electric New York City Truck Tours", "year": 2025, "authors": [ "Haggai Davis", "Joseph Y.J. Chow" ], "first_author": "Haggai Davis", "venue": "Lecture notes in intelligent transportation and infrastructure", "volume": "Part F154", "pages": "683-695", "type": "conference-paper", "language": "en", "abstract": null, "keywords": [ "Truck", "Charge (physics)", "Transport engineering", "Automotive engineering", "Computer science", "Engineering", "Physics" ], "cited_by_openalex": 1, "cited_by_scopus": "0", "eid": "2-s2.0-105000325364", "pii": null, "open_access_url": "https://doi.org/10.1007/978-3-031-82818-8_51", "sources": [ { "db": "openalex", "stream": "TRUCK", "query_id": "TRUCK-1" }, { "db": "openalex", "stream": "TRUCK", "query_id": "TRUCK-2" }, { "db": "scopus", "stream": "TRUCK", "query_id": "TRUCK-1" } ], "streams": [ "TRUCK" ], "relevance_signals": [ "TRUCK_NO_CTX" ], "auto_exclude_reason": "EC-4-topic", "screening_status": "auto_excluded", "screened_by": "auto-v1.0.0" }, { "id": "doi:10.1080/17477778.2025.2586165", "doi": "10.1080/17477778.2025.2586165", "title": "A simulation study of mixed trucks and robots for last mile delivery", "year": 2025, "authors": [ "Angelina Krendeleva", "Agostino Marcello Mangini", "Bartolomeo Silvestri", "Maria Pia Fanti" ], "first_author": "Angelina Krendeleva", "venue": "Journal of Simulation", "volume": null, "pages": null, "type": "article", "language": "en", "abstract": "This paper introduces an approach to enhance the efficiency of last-mile delivery through trucks and robot transport. The primary objective is to alleviate traffic congestion by repurposing pedestrian sidewalks for robot transportation through autonomous vehicles, consequently optimizing the activities of trucks by eliminating the necessity for them to navigate through the city. In addressing this challenge, we formulate an optimization problem and apply it in a case study conducted in the city of Bari, Italy. The city is partitioned into distinct zones, served by a hub, where trucks arrive to unload goods to be delivered to final destinations. The issue is formulated as an optimization problem aimed at maximizing the daily number of deliveries. To assess the proposed solutions under more realistic conditions, we employ modelling and simulation techniques utilizing the Simulation of Urban Mobility (SUMO) software. These simulations consider the influence of road traffic, which has the potential to affect the overall efficiency of the delivery system. The analysis conducted revealed significant advantages of this innovative approach compared to the classical delivery system.", "keywords": [ "Truck", "Robot", "Discrete event simulation", "Mobile robot", "Simulation modeling" ], "cited_by_openalex": 0, "cited_by_scopus": "0", "eid": "2-s2.0-105021948719", "pii": null, "open_access_url": "https://doi.org/10.1080/17477778.2025.2586165", "sources": [ { "db": "openalex", "stream": "TRUCK", "query_id": "TRUCK-1" }, { "db": "scopus", "stream": "TRUCK", "query_id": "TRUCK-1" } ], "streams": [ "TRUCK" ], "relevance_signals": [ "TRUCK" ], "auto_exclude_reason": null, "screening_status": "pending_human_screening", "screened_by": "auto-v1.0.0" }, { "id": "title:last mile delivery by drones", "doi": null, "title": "Last Mile Delivery by Drones", "year": 2025, "authors": [ "Alawala Dewage, Hishani Indunil" ], "first_author": "Alawala Dewage, Hishani Indunil", "venue": "Theseus (Ammattikorkeakoulujen)", "volume": null, "pages": null, "type": "dissertation", "language": "en", "abstract": "Last-Mile Delivery is a critical and costly part of the distribution chain, providing the final connection to customers. Modern drone technology is viewed as a promising solution, enabling faster delivery, lower costs, and enhanced environmental protection. Research suggests that drones can alleviate the limitations of traditional truck delivery – including traffic congestion, gas and electricity consumption, and greenhouse gas emissions – and enable faster delivery of goods to rural and remote areas. However, there are technical challenges that need to be addressed, including routing optimization, cargo distribution, battery management, data communication, and environmental protection. Companies such as Amazon Prime Air and UPS Flight Forward are also introducing new ordering systems and “flying warehouse” concepts, which are new areas of focus for drone use. In business, the use of drones is expected to increase the efficiency of the entire supply chain, enhance overall customer satisfaction, and promote safe and sustainable operations.", "keywords": [ "Drone", "Last mile (transportation)", "Truck", "Electricity", "Greenhouse gas", "Sustainable development", "Supply chain" ], "cited_by_openalex": 0, "cited_by_scopus": 0, "eid": null, "pii": null, "open_access_url": "http://www.theseus.fi/bitstream/10024/901731/2/AlawalaDewage_HishaniIndunil.pdf", "sources": [ { "db": "openalex", "stream": "TRUCK", "query_id": "TRUCK-1" }, { "db": "openalex", "stream": "UAV", "query_id": "UAV-1" } ], "streams": [ "TRUCK", "UAV" ], "relevance_signals": [ "UAV", "TRUCK" ], "auto_exclude_reason": null, "screening_status": "pending_human_screening", "screened_by": "auto-v1.0.0" }, { "id": "doi:10.2139/ssrn.5388230", "doi": "10.2139/ssrn.5388230", "title": "Evaluating the Energy Savings from Truck-drone Hybrid Last-mile Delivery in Arbitrary Cities", "year": 2025, "authors": [ "Seunghyun Baik", "Steven M. Willits", "Sebastian Scherer", "Junfeng Jiao", "Peter Yun Zhang" ], "first_author": "Seunghyun Baik", "venue": "SSRN Electronic Journal", "volume": null, "pages": null, "type": "preprint", "language": "en", "abstract": null, "keywords": [ "Mile", "Drone", "Truck", "Last mile (transportation)", "Aeronautics", "Transport engineering", "Energy (signal processing)", "Computer science", "Automotive engineering", "Engineering", "Business", "Geography" ], "cited_by_openalex": 0, "cited_by_scopus": 0, "eid": null, "pii": null, "open_access_url": "https://doi.org/10.2139/ssrn.5388230", "sources": [ { "db": "openalex", "stream": "TRUCK", "query_id": "TRUCK-1" }, { "db": "openalex", "stream": "TRUCK", "query_id": "TRUCK-3" }, { "db": "openalex", "stream": "UAV", "query_id": "UAV-1" }, { "db": "openalex", "stream": "UAV", "query_id": "UAV-2" } ], "streams": [ "TRUCK", "UAV" ], "relevance_signals": [ "UAV", "TRUCK" ], "auto_exclude_reason": null, "screening_status": "pending_human_screening", "screened_by": "auto-v1.0.0" }, { "id": "doi:10.52783/jisem.v10i49s.10103", "doi": "10.52783/jisem.v10i49s.10103", "title": "\"Scalable Truck-Drone Coordination with Reinforcement Learning: Toward Real-Time Last-Mile Delivery Optimization\"", "year": 2025, "authors": [ "Ali Abdul Razzaq Taresh" ], "first_author": "Ali Abdul Razzaq Taresh", "venue": "Journal of Information Systems Engineering & Management", "volume": null, "pages": null, "type": "article", "language": "en", "abstract": "The study offers a new reinforcement learning contour to adapt the traveling seller problem with a drone (TSP-D), which faces challenges in final delivery logistics. The proposed method benefits from a near proximal political adaptation (PPO) combined with a deep remaining forward nerve architecture to effectively coordinate truck-drainage operations. A large contribution lies in extended state representation, which integrates the position of transit, the remaining travel time and viable drone-causal nodes, which use the algorithm of Dijkstra. The model was evaluated under two scenarios: unlimited and limited drone area. The results show calculation performance on better routing efficiency, solution quality and benchmark algorithms. PPO ensures policy stability and effective learning in a complex urban environment. The residual architecture reduces the disappearance of the disappearance, which enables intensive network training. This approach supports scalable and intelligent decision -making for drone -assisted logistics. The study helps to promote real -time, data -driven distribution systems for final measurement.", "keywords": [ "Drone", "Truck", "Reinforcement learning", "Scalability", "Mile", "Last mile (transportation)", "Computer science", "Reinforcement", "Engineering", "Artificial intelligence", "Automotive engineering", "Operating system" ], "cited_by_openalex": 0, "cited_by_scopus": 0, "eid": null, "pii": null, "open_access_url": "https://jisem-journal.com/index.php/journal/article/download/10103/4643", "sources": [ { "db": "openalex", "stream": "TRUCK", "query_id": "TRUCK-1" }, { "db": "openalex", "stream": "UAV", "query_id": "UAV-1" } ], "streams": [ "TRUCK", "UAV" ], "relevance_signals": [ "UAV", "TRUCK" ], "auto_exclude_reason": null, "screening_status": "pending_human_screening", "screened_by": "auto-v1.0.0" }, { "id": "doi:10.2139/ssrn.5871916", "doi": "10.2139/ssrn.5871916", "title": "A Bi-Level Heuristic Approach for the Truck-Drone Last-Mile Delivery Problem with Dynamic PID Control", "year": 2025, "authors": [ "Heictor Costa", "Fernando José Von Zuben" ], "first_author": "Heictor Costa", "venue": "SSRN Electronic Journal", "volume": null, "pages": null, "type": "preprint", "language": null, "abstract": null, "keywords": [ "Control theory (sociology)", "Heuristic", "Control (management)", "Control system", "PID controller", "Optimal control" ], "cited_by_openalex": 0, "cited_by_scopus": 0, "eid": null, "pii": null, "open_access_url": "https://doi.org/10.2139/ssrn.5871916", "sources": [ { "db": "openalex", "stream": "TRUCK", "query_id": "TRUCK-1" }, { "db": "openalex", "stream": "TRUCK", "query_id": "TRUCK-2" }, { "db": "openalex", "stream": "TRUCK", "query_id": "TRUCK-3" }, { "db": "openalex", "stream": "UAV", "query_id": "UAV-1" }, { "db": "openalex", "stream": "UAV", "query_id": "UAV-2" } ], "streams": [ "TRUCK", "UAV" ], "relevance_signals": [ "UAV", "TRUCK" ], "auto_exclude_reason": null, "screening_status": "pending_human_screening", "screened_by": "auto-v1.0.0" }, { "id": "doi:10.30574/ijsra.2025.14.2.0391", "doi": "10.30574/ijsra.2025.14.2.0391", "title": "Solar powered coordinated drone for last mile delivery", "year": 2025, "authors": [ "Olakunle Abimbola Kumuyi" ], "first_author": "Olakunle Abimbola Kumuyi", "venue": "International Journal of Science and Research Archive", "volume": null, "pages": null, "type": "article", "language": "en", "abstract": "The rapid growth of e-commerce and urban logistics has intensified challenges in last-mile delivery, including traffic congestion, high operational costs, payload limitation for single drones, and environmental impacts. This study proposes a solar-powered coordinated drone system to address these issues by leveraging renewable energy and multi-drone collaboration. The research focuses on four objectives: (1) developing a coordinated drone system capable of transporting heavy payloads for greater payload capabilities, (2) optimizing energy efficiency through solar panel integration and advanced battery technologies, and (3) calculate environmental impact reduction achieved by using solar-powered, (4) hybrid methodology combining system design, energy consumption modeling, and environmental impact analysis was employed to evaluate technical feasibility and sustainability. (6) Mathematical models for solar energy harvesting, thrust requirements, and power management were developed to optimize payload capacity and flight range. Results indicate that when compared to using fossil-fueled delivery for payloads beyond the capabilities of a single small delivery drone, using coordinated drones instead can reduce greenhouse gas emissions by up to 80% compared to fossil-fueled delivery trucks, with operational costs decreasing by 30-40%. Key innovations include dynamic solar charging analysis, application of Green Vehicle Routing Problem (GVRP) Model for route optimization, and Environmental Impact Analysis (Sustainability Assessment). Challenges such as solar panel efficiency constraints (15-30%), temperature impacts on energy generation. Power and Battery Capacity Relationship. The study concludes that solar-powered coordinated drones offer a scalable, eco-friendly alternative to traditional logistics, aligning with global sustainability goals. Future research should explore advanced solar materials, regulatory frameworks, and AI-driven traffic management to enhance adoption. This work contributes to the evolution of sustainable urban logistics, emphasizing reduced carbon footprints for payloads beyond the capabilities of a single drone, cost efficiency, and improved customer satisfaction through rapid, reliable deliveries.", "keywords": [ "Drone", "Mile", "Last mile (transportation)", "Solar powered", "Aeronautics", "Computer science", "Engineering", "Telecommunications", "Electrical engineering", "Solar energy", "Physics", "Biology" ], "cited_by_openalex": 0, "cited_by_scopus": 0, "eid": null, "pii": null, "open_access_url": "https://journalijsra.com/sites/default/files/fulltext_pdf/IJSRA-2025-0391.pdf", "sources": [ { "db": "openalex", "stream": "TRUCK", "query_id": "TRUCK-1" }, { "db": "openalex", "stream": "UAV", "query_id": "UAV-1" }, { "db": "openalex", "stream": "UAV", "query_id": "UAV-2" } ], "streams": [ "TRUCK", "UAV" ], "relevance_signals": [ "UAV", "TRUCK" ], "auto_exclude_reason": null, "screening_status": "pending_human_screening", "screened_by": "auto-v1.0.0" }, { "id": "doi:10.2139/ssrn.5348525", "doi": "10.2139/ssrn.5348525", "title": "A Variable Neighborhood Search Algorithm for the Truck-Drone Routing Problem Under Uncertainty in Rural Last-Mile Delivery", "year": 2025, "authors": [ "Jianhua Xiao", "Hang Yu", "Jiuhong Xiao", "Yunyun Niu", "Xiaofan Wu" ], "first_author": "Jianhua Xiao", "venue": "SSRN Electronic Journal", "volume": null, "pages": null, "type": "preprint", "language": "en", "abstract": null, "keywords": [ "Drone", "Mile", "Truck", "Vehicle routing problem", "Variable (mathematics)", "Last mile (transportation)", "Routing (electronic design automation)", "Computer science", "Transport engineering", "Operations research", "Engineering", "Geography" ], "cited_by_openalex": 0, "cited_by_scopus": 0, "eid": null, "pii": null, "open_access_url": "https://doi.org/10.2139/ssrn.5348525", "sources": [ { "db": "openalex", "stream": "TRUCK", "query_id": "TRUCK-1" }, { "db": "openalex", "stream": "UAV", "query_id": "UAV-1" }, { "db": "openalex", "stream": "UAV", "query_id": "UAV-2" } ], "streams": [ "TRUCK", "UAV" ], "relevance_signals": [ "UAV", "TRUCK" ], "auto_exclude_reason": null, "screening_status": "pending_human_screening", "screened_by": "auto-v1.0.0" }, { "id": "doi:10.2139/ssrn.5212857", "doi": "10.2139/ssrn.5212857", "title": "An Alternative Last-Mile Delivery System: Leveraging Microhubs and Crowdshipping", "year": 2025, "authors": [ "Amir Shafiee", "Hanieh Rastegar Moghaddam Bajestani", "Sudheer Ballare", "Jane Lin" ], "first_author": "Amir Shafiee", "venue": "SSRN Electronic Journal", "volume": null, "pages": null, "type": "preprint", "language": "en", "abstract": null, "keywords": [ "Mile", "Last mile (transportation)", "Computer science", "Business", "Geography" ], "cited_by_openalex": 0, "cited_by_scopus": 0, "eid": null, "pii": null, "open_access_url": "https://doi.org/10.2139/ssrn.5212857", "sources": [ { "db": "openalex", "stream": "TRUCK", "query_id": "TRUCK-1" }, { "db": "openalex", "stream": "TRUCK", "query_id": "TRUCK-2" }, { "db": "openalex", "stream": "TRUCK", "query_id": "TRUCK-3" } ], "streams": [ "TRUCK" ], "relevance_signals": [ "NO_TECHNOLOGY_MATCH" ], "auto_exclude_reason": "EC-4-topic", "screening_status": "auto_excluded", "screened_by": "auto-v1.0.0" }, { "id": "doi:10.2139/ssrn.5117161", "doi": "10.2139/ssrn.5117161", "title": "Tactical Routing and Fleet Planning in Drone-Assisted Last-Mile Delivery", "year": 2025, "authors": [ "Bahar D. Viniche", "Opher Baron", "Oded Berman", "Mehdi Nourinejad" ], "first_author": "Bahar D. Viniche", "venue": "SSRN Electronic Journal", "volume": null, "pages": null, "type": "preprint", "language": "en", "abstract": null, "keywords": [ "Drone", "Mile", "Last mile (transportation)", "Routing (electronic design automation)", "Aeronautics", "Computer science", "Transport engineering", "Engineering", "Operations management", "Computer network", "Geography" ], "cited_by_openalex": 0, "cited_by_scopus": 0, "eid": null, "pii": null, "open_access_url": "https://doi.org/10.2139/ssrn.5117161", "sources": [ { "db": "openalex", "stream": "TRUCK", "query_id": "TRUCK-1" }, { "db": "openalex", "stream": "UAV", "query_id": "UAV-1" } ], "streams": [ "TRUCK", "UAV" ], "relevance_signals": [ "UAV" ], "auto_exclude_reason": null, "screening_status": "pending_human_screening", "screened_by": "auto-v1.0.0" }, { "id": "title:a decision approach for evaluation of last mile delivery methods a case study in istanbul", "doi": null, "title": "A Decision Approach for Evaluation of Last Mile Delivery Methods: A Case Study in Istanbul", "year": 2025, "authors": [ "Rahman Filar", "ESİN MUKUL TAYLAN", "Nazlı Göker Mutlu" ], "first_author": "Rahman Filar", "venue": "Galatasaray University - AVESIS", "volume": null, "pages": null, "type": "article", "language": "en", "abstract": "The rapid increase in demand for e-commerce has changed and transformedthe logistics sector and made the integration of sustainability criterianecessary. This study addresses the sustainable assessment of differenttransportation modes used for last-mile delivery in Istanbul, especially in thecontext of e-commerce. The aim is to analyze the environmental impacts ofdelivery vehicles, such as carbon emissions, energy consumption, and trafficdensity, in order to help decision makers make more sustainable choices. Acomparison is made among bicycles, motorcycles, pickup trucks, andmultimodal/hybrid vehicles, which are commonly used for last-mile delivery, byconsidering their environmental performances. In order to better manageuncertainties and subjective evaluations, the fuzzy multi-criteriadecision-making method was chosen, allowing for a more realistic and accurateanalysis of transportation alternatives.", "keywords": [ "Sustainability", "Order (exchange)", "Fuzzy logic", "Sustainable development", "Environmental impact assessment", "Decision support system", "Carbon footprint", "Last mile (transportation)" ], "cited_by_openalex": 0, "cited_by_scopus": 0, "eid": null, "pii": null, "open_access_url": "https://avesis.gsu.edu.tr/publication/details/1229a635-6ec0-4b5d-9348-a167642e56c9/oai", "sources": [ { "db": "openalex", "stream": "TRUCK", "query_id": "TRUCK-1" } ], "streams": [ "TRUCK" ], "relevance_signals": [ "TRUCK" ], "auto_exclude_reason": null, "screening_status": "pending_human_screening", "screened_by": "auto-v1.0.0" }, { "id": "doi:10.1007/978-3-031-77723-3_30", "doi": "10.1007/978-3-031-77723-3_30", "title": "Travel and Service Time Prediction in Last Mile Delivery Using GPS Data", "year": 2025, "authors": [ "Emiliano Bodean", "Gabriela Patricia Henning" ], "first_author": "Emiliano Bodean", "venue": "Lecture notes in production engineering", "volume": "Part F566", "pages": "323-331", "type": "conference-paper", "language": "en", "abstract": null, "keywords": [ "Global Positioning System", "Mile", "Last mile (transportation)", "Computer science", "Service (business)", "Real-time computing", "Geography", "Telecommunications", "Business", "Geodesy", "Marketing" ], "cited_by_openalex": 0, "cited_by_scopus": "0", "eid": "2-s2.0-105009260610", "pii": null, "open_access_url": "https://doi.org/10.1007/978-3-031-77723-3_30", "sources": [ { "db": "openalex", "stream": "TRUCK", "query_id": "TRUCK-1" }, { "db": "scopus", "stream": "TRUCK", "query_id": "TRUCK-1" } ], "streams": [ "TRUCK" ], "relevance_signals": [ "NO_TECHNOLOGY_MATCH" ], "auto_exclude_reason": "EC-4-topic", "screening_status": "auto_excluded", "screened_by": "auto-v1.0.0" }, { "id": "doi:10.1109/ieem63636.2025.11357717", "doi": "10.1109/ieem63636.2025.11357717", "title": "Optimizing Last-Mile Delivery Efficiency through a Multi-Vehicle and MultiArea Collaboration Model", "year": 2025, "authors": [ "S. H. Lu", "C. C. Chang", "R. Raj" ], "first_author": "S. H. Lu", "venue": "IEEE International Conference on Industrial Engineering and Engineering Management", "volume": null, "pages": "1458-1462", "type": "conference-paper", "language": null, "abstract": "The rapid growth of e-commerce has heightened the need for logistics companies to improve package delivery efficiency. In conventional delivery models, vehicle speed is often constrained by urban speed regulations and the difficulty of locating available parking spaces. Unlike previous studies that focus on trucks collaborating with a single type of auxiliary vehicle, this paper explores a multivehicle approach by integrating a truck with two distinct types of delivery vehicles—a drone and a robot—and determining the most suitable deployment scenario for each. To address this problem, a heuristic algorithm is proposed to solve the Multiple Area and Multiple Vehicle Traveling Salesman Problem (TSP-MAMV). Experimental results show that deploying robots for deliveries in high-density urban areas can significantly enhance efficiency, while in lower- density regions, drones outperform robots in executing last- mile deliveries.", "keywords": [ "Drone", "Truck", "Heuristic", "Software deployment", "Travelling salesman problem", "Focus (optics)", "Robot" ], "cited_by_openalex": 0, "cited_by_scopus": "0", "eid": "2-s2.0-105033955341", "pii": null, "open_access_url": "https://doi.org/10.1109/ieem63636.2025.11357717", "sources": [ { "db": "openalex", "stream": "TRUCK", "query_id": "TRUCK-1" }, { "db": "openalex", "stream": "UAV", "query_id": "UAV-1" }, { "db": "scopus", "stream": "TRUCK", "query_id": "TRUCK-1" }, { "db": "scopus", "stream": "UAV", "query_id": "UAV-1" } ], "streams": [ "TRUCK", "UAV" ], "relevance_signals": [ "UAV", "TRUCK" ], "auto_exclude_reason": null, "screening_status": "pending_human_screening", "screened_by": "auto-v1.0.0" }, { "id": "doi:10.48550/arxiv.2505.23584", "doi": "10.48550/arxiv.2505.23584", "title": "Collaborative Last-Mile Delivery: A Multi-Platform Vehicle Routing Problem With En-route Charging", "year": 2025, "authors": [ "Sumbal Malik", "Majid Khonji", "Khaled Elbassioni", "Jorge M.M. Dias" ], "first_author": "Sumbal Malik", "venue": "arXiv (Cornell University)", "volume": null, "pages": null, "type": "preprint", "language": "en", "abstract": "The rapid growth of e-commerce and the increasing demand for timely, cost-effective last-mile delivery have increased interest in collaborative logistics. This research introduces a novel collaborative synchronized multi-platform vehicle routing problem with drones and robots (VRP-DR), where a fleet of $\\mathcal{M}$ trucks, $\\mathcal{N}$ drones and $\\mathcal{K}$ robots, cooperatively delivers parcels. Trucks serve as mobile platforms, enabling the launching, retrieving, and en-route charging of drones and robots, thereby addressing critical limitations such as restricted payload capacities, limited range, and battery constraints. The VRP-DR incorporates five realistic features: (1) multi-visit service per trip, (2) multi-trip operations, (3) flexible docking, allowing returns to the same or different trucks (4) cyclic and acyclic operations, enabling return to the same or different nodes; and (5) en-route charging, enabling drones and robots to recharge while being transported on the truck, maximizing operational efficiency by utilizing idle transit time. The VRP-DR is formulated as a mixed-integer linear program (MILP) to minimize both operational costs and makespan. To overcome the computational challenges of solving large-scale instances, a scalable heuristic algorithm, FINDER (Flexible INtegrated Delivery with Energy Recharge), is developed, to provide efficient, near-optimal solutions. Numerical experiments across various instance sizes evaluate the performance of the MILP and heuristic approaches in terms of solution quality and computation time. The results demonstrate significant time savings of the combined delivery mode over the truck-only mode and substantial cost reductions from enabling multi-visits. The study also provides insights into the effects of en-route charging, docking flexibility, drone count, speed, and payload capacity on system performance.", "keywords": [ "Drone", "Payload (computing)", "Scalability", "Heuristic", "Truck", "Vehicle routing problem", "Routing (electronic design automation)", "Robot" ], "cited_by_openalex": 0, "cited_by_scopus": 0, "eid": null, "pii": null, "open_access_url": "https://arxiv.org/pdf/2505.23584", "sources": [ { "db": "openalex", "stream": "TRUCK", "query_id": "TRUCK-1" }, { "db": "openalex", "stream": "UAV", "query_id": "UAV-1" }, { "db": "openalex", "stream": "UAV", "query_id": "UAV-2" } ], "streams": [ "TRUCK", "UAV" ], "relevance_signals": [ "UAV", "TRUCK" ], "auto_exclude_reason": null, "screening_status": "pending_human_screening", "screened_by": "auto-v1.0.0" }, { "id": "doi:10.1109/itsc60802.2025.11423255", "doi": "10.1109/itsc60802.2025.11423255", "title": "Last-Mile Delivery Optimisation with Autonomous Vehicles and Drones for Trust-Aware Multimodal Medical Logistics in Urban Environments", "year": 2025, "authors": [ "Yanyu Long", "Safaa Sindi", "Stewart A. Birrell", "Seng W. Loke", "Bahareh Nakisa" ], "first_author": "Yanyu Long", "venue": "IEEE Conference on Intelligent Transportation Systems Proceedings ITSC", "volume": null, "pages": "2969-2974", "type": "conference-paper", "language": "en", "abstract": "This study addresses last-mile urban medical logistics through a multimodal fleet of autonomous vehicles and drones, including autonomous vans and trucks. We propose an environment-aware optimisation framework for last-mile delivery optimisation that integrates trust quantification, adaptive algorithm selection, and real-time decision-making. The system models road and environmental conditions using multi-source data and selects path-planning strategies, such as Dijkstra, A* or Greedy Best-First Search, according to delivery urgency and context. A trust evaluation mechanism fuses subjective perceptions with objective performance to embed trust scores into the optimisation process. Machine-learning models predict delivery delays and guide vehicle scheduling under dynamic urban logistics network conditions. In simulations based on Coventry, UK; integrating trust metrics with environment-sensitive routing reduces mean delivery time by 28%, while delay-prediction error drops to ±3.04 s; drones deliver insulin 90% faster than trucks despite slightly lower trust scores (-1.6%). These findings underscore the value of incorporating socio-technical factors, especially trust in time-sensitive, safety-critical multimodal urban logistics.", "keywords": [ "Drone", "Key (lock)", "Action (physics)", "Public transport" ], "cited_by_openalex": 0, "cited_by_scopus": "0", "eid": "2-s2.0-105036956996", "pii": null, "open_access_url": "https://pure.coventry.ac.uk/ws/files/119923519/Long2026AAM.pdf", "sources": [ { "db": "openalex", "stream": "TRUCK", "query_id": "TRUCK-1" }, { "db": "openalex", "stream": "UAV", "query_id": "UAV-1" }, { "db": "scopus", "stream": "TRUCK", "query_id": "TRUCK-1" }, { "db": "scopus", "stream": "UAV", "query_id": "UAV-1" } ], "streams": [ "TRUCK", "UAV" ], "relevance_signals": [ "UAV", "TRUCK" ], "auto_exclude_reason": null, "screening_status": "pending_human_screening", "screened_by": "auto-v1.0.0" }, { "id": "doi:10.15446/dyna.v92n239.120412", "doi": "10.15446/dyna.v92n239.120412", "title": "Mapping the evolution of drone-based last-mile delivery: a bibliometric analysis with field insights from Colombia", "year": 2025, "authors": [ "Luz Maribel Guevara-Ortega", "Juan Enrique Hidalgo-Urrea", "Luz Mireya Candil-Parra", "William Rafael Navarro-Zúñiga" ], "first_author": "Luz Maribel Guevara-Ortega", "venue": "DYNA", "volume": "92", "pages": "91-100", "type": "article", "language": "en", "abstract": "The article combines a bibliometric analysis of 301 studies (2019–2025) with a survey of 70 Colombian logistics leaders. It identifies an annual scientific growth rate of 14.96 %, with emerging emphasis on sustainability, optimized routes, and hybrid truck-drone fleets. Respondents report key barriers: air-space regulation (80 %), limited payload capacity (65.7 %), insufficient infrastructure (64.3 %), and concerns about security, privacy, and high up-front costs. Integrating both approaches, the authors propose an urban pilot inspired by Milan, tailored to the Colombian context, profitable even at 50 % utilization and yielding a return above 90 % in the first year. They conclude that last-mile drone adoption demands clear regulatory frameworks, infrastructure investment, and risk-management strategies to build trust among users and operators.", "keywords": [ "Payload (computing)", "Field (mathematics)", "Drone", "Key (lock)", "Bibliometrics" ], "cited_by_openalex": 0, "cited_by_scopus": "0", "eid": "2-s2.0-105023326705", "pii": null, "open_access_url": "https://revistas.unal.edu.co/index.php/dyna/article/download/120412/96105", "sources": [ { "db": "openalex", "stream": "TRUCK", "query_id": "TRUCK-1" }, { "db": "openalex", "stream": "UAV", "query_id": "UAV-1" }, { "db": "scopus", "stream": "TRUCK", "query_id": "TRUCK-1" }, { "db": "scopus", "stream": "UAV", "query_id": "UAV-1" } ], "streams": [ "TRUCK", "UAV" ], "relevance_signals": [ "UAV", "TRUCK" ], "auto_exclude_reason": null, "screening_status": "pending_human_screening", "screened_by": "auto-v1.0.0" }, { "id": "doi:10.3390/su17083718", "doi": "10.3390/su17083718", "title": "The Impact of Last-Mile Delivery Fleet Electrification on Emissions, Dispersion, and Health: An Environmental Justice Analysis Based on Dallas County, Texas", "year": 2025, "authors": [ "Jaesik Choi", "Kate Kyung Hyun" ], "first_author": "Jaesik Choi", "venue": "Sustainability", "volume": "17", "pages": null, "type": "article", "language": "en", "abstract": "The increasing popularity of online shopping leads to more last-mile deliveries and higher emissions from last-mile delivery trucks. Despite small amounts being emitted from the tailpipe of delivery trucks, there can be a significant amount of fine particulate matter that degrades the health quality of residents from aggregated delivery trucks at the community level. Addressing the environmental impact of last-mile deliveries is needed to achieve the sustainability goals because air pollution mitigation can reduce mortalities. This study employs a comprehensive methodology to assess the health impact of fine particulate matter from last-mile delivery trucks and the benefits of their electrification. It uses a three-tiered modeling approach, incorporating emissions measurement, exposure level evaluation, and health impact assessment. In addition, this paper shows the changes in health impacts at the various levels of the fleet electrification rate using a case study in Dallas County, Texas. The results indicate that higher fine particulate matters are concentrated near or on the major roadways and transportation facilities. This study also shows the relationships between last-mile delivery emissions and socio-economic variables and found that younger, racial minorities and low-income communities are exposed to higher last-mile emissions due to the proximity of their residences to major truck corridors. To evaluate the health impacts of fleet electrification, this study uses 2%, 10%, and 30% market shares of fleet electrification. The results indicate that for 2% of the market share of fleet electrification to last-mile delivery trucks, up to 1 death per year can be prevented, while 70 deaths per year can be prevented with 30% of electrification for the whole traffic.", "keywords": [ "Mile", "Electrification", "Environmental justice", "Dispersion (optics)", "Environmental science", "Environmental impact assessment", "Last mile (transportation)", "Engineering", "Geography", "Political science", "Electricity", "Physics" ], "cited_by_openalex": 0, "cited_by_scopus": "0", "eid": "2-s2.0-105003653457", "pii": null, "open_access_url": "https://www.mdpi.com/2071-1050/17/8/3718/pdf?version=1745136365", "sources": [ { "db": "openalex", "stream": "TRUCK", "query_id": "TRUCK-1" }, { "db": "scopus", "stream": "TRUCK", "query_id": "TRUCK-1" } ], "streams": [ "TRUCK" ], "relevance_signals": [ "TRUCK" ], "auto_exclude_reason": null, "screening_status": "pending_human_screening", "screened_by": "auto-v1.0.0" }, { "id": "doi:10.46254/an15.20250087", "doi": "10.46254/an15.20250087", "title": "Optimization of Collaborative Truck-Drone-Subway Delivery for Urban Logistics", "year": 2025, "authors": [ "So Rim Han", "Byung Duk Song" ], "first_author": "So Rim Han", "venue": null, "volume": null, "pages": null, "type": "conference-paper", "language": "en", "abstract": "The truck-drone hybrid delivery system has been proposed as an alternative for urban logistics due to its advantages in fast delivery, cost-efficiency, and environmental benefits. However, UAVs face limitations in battery capacity and payload, which make it challenging to meet the increasing demand for logistics services. Additionally, there are constraints in building new logistics facilities in urban areas. Underground logistics has emerged as an alternative solution to address these problems. By utilizing the subway network, the system can avoid urban traffic congestion and manage logistics flows efficiently. Moreover, it minimizes the cost of establishing new facilities by making the most of existing infrastructure. In this study, we propose a new urban delivery system that combines the existing truck-drone hybrid model with the subway network. The established subway network and stations are used to transport goods from suburban areas to urban areas, where they also function as urban logistics hubs. A truck and drones handle the last-mile delivery to customers from the subway stations. Both the truck and multiple drones operate independently; the truck does not act as a mothership for the drones, and they perform deliveries across multiple logistics depots. We developed a mathematical optimization model for a multi-depot, multi-trip vehicle routing problem with time windows. The developed model was validated through numerical experiments, demonstrating its practical applicability to urban delivery services.The truck-drone hybrid delivery system has been proposed as an alternative for urban logistics due to its advantages in fast delivery, cost-efficiency, and environmental benefits. However, UAVs face limitations in battery capacity and payload, which make it challenging to meet the increasing demand for logistics services. Additionally, there are constraints in building new logistics facilities in urban areas. Underground logistics has emerged as an alternative solution to address these problems. By utilizing the subway network, the system can avoid urban traffic congestion and manage logistics flows efficiently. Moreover, it minimizes the cost of establishing new facilities by making the most of existing infrastructure. In this study, we propose a new urban delivery system that combines the existing truck-drone hybrid model with the subway network. The established subway network and stations are used to transport goods from suburban areas to urban areas, where they also function as urban logistics hubs. A truck and drones handle the last-mile delivery to customers from the subway stations. Both the truck and multiple drones operate independently; the truck does not act as a mothership for the drones, and they perform deliveries across multiple logistics depots. We developed a mathematical optimization model for a multi-depot, multi-trip vehicle routing problem with time windows. The developed model was validated through numerical experiments, demonstrating its practical applicability to urban delivery services.", "keywords": [ "Truck", "Drone", "Transport engineering", "City logistics", "Computer science", "Aeronautics", "Engineering", "Automotive engineering" ], "cited_by_openalex": 0, "cited_by_scopus": 0, "eid": null, "pii": null, "open_access_url": "https://ieomsociety.org/proceedings/singapore2025/87.pdf", "sources": [ { "db": "openalex", "stream": "TRUCK", "query_id": "TRUCK-1" }, { "db": "openalex", "stream": "TRUCK", "query_id": "TRUCK-2" }, { "db": "openalex", "stream": "TRUCK", "query_id": "TRUCK-3" }, { "db": "openalex", "stream": "UAV", "query_id": "UAV-1" }, { "db": "openalex", "stream": "UAV", "query_id": "UAV-2" } ], "streams": [ "TRUCK", "UAV" ], "relevance_signals": [ "UAV", "TRUCK" ], "auto_exclude_reason": null, "screening_status": "pending_human_screening", "screened_by": "auto-v1.0.0" }, { "id": "doi:10.2139/ssrn.5370435", "doi": "10.2139/ssrn.5370435", "title": "Hybrid Truck-Drone Delivery with Droneport Coordination in Urban Logistics", "year": 2025, "authors": [ "Shamik Pushkar", "Elkafi Hassini" ], "first_author": "Shamik Pushkar", "venue": "SSRN Electronic Journal", "volume": null, "pages": null, "type": "preprint", "language": "en", "abstract": null, "keywords": [ "Drone", "Truck", "City logistics", "Business", "Transport engineering", "Aeronautics", "Aerospace engineering", "Engineering" ], "cited_by_openalex": 0, "cited_by_scopus": 0, "eid": null, "pii": null, "open_access_url": "https://doi.org/10.2139/ssrn.5370435", "sources": [ { "db": "openalex", "stream": "TRUCK", "query_id": "TRUCK-1" }, { "db": "openalex", "stream": "UAV", "query_id": "UAV-1" } ], "streams": [ "TRUCK", "UAV" ], "relevance_signals": [ "UAV", "TRUCK" ], "auto_exclude_reason": null, "screening_status": "pending_human_screening", "screened_by": "auto-v1.0.0" }, { "id": "doi:10.1007/s11116-025-10707-5", "doi": "10.1007/s11116-025-10707-5", "title": "Classification of urban freight activity patterns via heavy truck flow data", "year": 2025, "authors": [ "Zile Guo", "Xiao-Yong Yan", "Erjian Liu" ], "first_author": "Zile Guo", "venue": "Transportation", "volume": null, "pages": null, "type": "article", "language": "en", "abstract": null, "keywords": [ "Truck", "Proxy (statistics)", "Flow network", "Land use", "Partition (number theory)", "Focus (optics)", "Construct (python library)", "Time series" ], "cited_by_openalex": 0, "cited_by_scopus": "0", "eid": "2-s2.0-105022598081", "pii": null, "open_access_url": "https://doi.org/10.1007/s11116-025-10707-5", "sources": [ { "db": "openalex", "stream": "TRUCK", "query_id": "TRUCK-1" }, { "db": "scopus", "stream": "TRUCK", "query_id": "TRUCK-1" } ], "streams": [ "TRUCK" ], "relevance_signals": [ "TRUCK" ], "auto_exclude_reason": null, "screening_status": "pending_human_screening", "screened_by": "auto-v1.0.0" }, { "id": "doi:10.1109/sist61657.2025.11139192", "doi": "10.1109/sist61657.2025.11139192", "title": "Optimizing Truck Delivery Routes in Urban Logistics: An Improved Genetic Algorithm Approach", "year": 2025, "authors": [ "Dingkun Zheng", "Chenghan Yang", "Mingfei Li", "Baurzhan Belgibaev", "Qiyuan Liu", "Baidong Zhao" ], "first_author": "Dingkun Zheng", "venue": "Sist 2025 2025 IEEE 5th International Conference on Smart Information Systems and Technologies Conference Proceedings", "volume": null, "pages": null, "type": "conference-paper", "language": "en", "abstract": "Efficient truck route optimization is crucial for enhancing operational efficiency and reducing costs in urban logistics and freight distribution. This study addresses the Vehicle Routing Problem with Time Windows (VRPTW), focusing on task allocation and path planning while considering key constraints such as delivery time windows and vehicle capacity. To tackle these challenges, we propose an innovative approach: the Improved Elite Retention Genetic Algorithm (IE-GA-VRPTW). By integrating dynamic crowding mechanisms and elite retention strategies, this method enhances solution quality and accelerates convergence speed, thereby minimizing total travel distance, fuel consumption, and time penalty costs. Comprehensive case studies demonstrate that IE-GA-VRPTW significantly outperforms traditional optimization techniques, achieving a substantial reduction in fuel consumption while ensuring compliance with delivery time windows. This approach provides valuable insights for optimizing freight distribution, contributing to the development of more sustainable and efficient urban logistics systems.", "keywords": [ "Truck", "Computer science", "Genetic algorithm", "Engineering", "Automotive engineering", "Machine learning" ], "cited_by_openalex": 0, "cited_by_scopus": "0", "eid": "2-s2.0-105016843621", "pii": null, "open_access_url": "https://doi.org/10.1109/sist61657.2025.11139192", "sources": [ { "db": "openalex", "stream": "TRUCK", "query_id": "TRUCK-1" }, { "db": "scopus", "stream": "TRUCK", "query_id": "TRUCK-1" } ], "streams": [ "TRUCK" ], "relevance_signals": [ "TRUCK" ], "auto_exclude_reason": null, "screening_status": "pending_human_screening", "screened_by": "auto-v1.0.0" }, { "id": "doi:10.3390/futuretransp5040181", "doi": "10.3390/futuretransp5040181", "title": "A Heuristic Approach for Truck and Drone Delivery System", "year": 2025, "authors": [ "Sorin Ionut Conea", "Gloria Cerasela Crişan" ], "first_author": "Sorin Ionut Conea", "venue": "Future Transportation", "volume": "5", "pages": null, "type": "article", "language": "en", "abstract": "In the rapidly evolving landscape of logistics and last-mile delivery, optimizing efficiency and minimizing costs are paramount. This paper introduces a novel heuristic approach designed to enhance the efficiency of a truck-and-drone delivery system. Our method addresses the complex challenge of coordinating the movements of a truck, which serves as a mobile depot, and an unmanned aerial vehicle (UAV or drone), which performs rapid, short-distance deliveries. Our system proposes a two-step heuristic. For truck routes, we utilized the Concorde Solver to determine the optimal path, based on real-world road distances between locations in Bacău County, Romania. This data was meticulously collected and processed as a Traveling Salesman Problem (TSP) instance with precise geographical information. Concurrently, a drone is deployed for specific deliveries, with routes calculated using the Haversine formula to determine accurate distances based on geographical coordinates. A crucial aspect of our model is the integration of the drone’s limited autonomy, ensuring that each mission adheres to its operational capacity. Computational experiments conducted on a real-world dataset including 93 localities from Bacău County, Romania, demonstrate the effectiveness of the proposed two-stage heuristic. Compared to the optimal truck-only route, the hybrid truck-and-drone system achieved up to 15.59% cost reduction and 38.69% delivery time savings, depending on the drone’s speed and autonomy parameters. These results confirm that the proposed approach can substantially enhance delivery efficiency in realistic distribution scenarios.", "keywords": [ "Drone", "Heuristic", "Solver", "Truck", "Travelling salesman problem", "Controller (irrigation)" ], "cited_by_openalex": 0, "cited_by_scopus": "0", "eid": "2-s2.0-105025974434", "pii": null, "open_access_url": "https://www.mdpi.com/2673-7590/5/4/181/pdf?version=1764555856", "sources": [ { "db": "openalex", "stream": "TRUCK", "query_id": "TRUCK-1" }, { "db": "openalex", "stream": "TRUCK", "query_id": "TRUCK-3" }, { "db": "openalex", "stream": "UAV", "query_id": "UAV-1" }, { "db": "scopus", "stream": "TRUCK", "query_id": "TRUCK-1" }, { "db": "scopus", "stream": "TRUCK", "query_id": "TRUCK-3" }, { "db": "scopus", "stream": "UAV", "query_id": "UAV-1" } ], "streams": [ "TRUCK", "UAV" ], "relevance_signals": [ "UAV", "TRUCK" ], "auto_exclude_reason": null, "screening_status": "pending_human_screening", "screened_by": "auto-v1.0.0" }, { "id": "doi:10.1109/qce65121.2025.10478", "doi": "10.1109/qce65121.2025.10478", "title": "Quantum Optimization for Solving Coordinated Truck–Drone Routing Problem", "year": 2025, "authors": [ "Ahmad Bassaleh", "Syed Farhan Ahmad", "Ramkumar Harikrishnakumar", "Gregory T. Byrd", "Bayram Yildirim" ], "first_author": "Ahmad Bassaleh", "venue": "Proceedings IEEE Quantum Week 2025 Qce 2025", "volume": "2", "pages": "626-627", "type": "conference-paper", "language": "en", "abstract": "The integration of drones into last-mile delivery operations has the potential to significantly enhance responsiveness and reduce delivery costs. In this paper, we study the Coordinated Truck-Drone Routing Problem (CTDRP), where a truck serves as mobile base station that launches and retrieves a drone to deliver to geographically dispersed customers. Some customers are served by the truck, while others are served by the drone. The objective is to optimize the truck route and drone assignments in order to minimize the total delivery distance, including both ground and aerial travel. We model the CTDRP as a combinatorial optimization problem and solve it using the Quantum Approximate Optimization Algorithm (QAOA), a variational hybrid quantum-classical algorithm that offers promising capabilities for discrete optimization. The proposed method is benchmarked against classical solutions obtained using the Gurobi optimizer, and the results show that QAOA delivers competitive performance. These findings demonstrate the applicability of QAOA in solving integrated aerial-ground logistics problems and support its potential for advancing quantum-enhanced transportation systems.", "keywords": [ "Drone", "Routing (electronic design automation)", "Truck", "Optimization problem", "Order (exchange)", "Vehicle routing problem", "Quantum" ], "cited_by_openalex": 0, "cited_by_scopus": "0", "eid": "2-s2.0-105030050104", "pii": null, "open_access_url": "https://doi.org/10.1109/qce65121.2025.10478", "sources": [ { "db": "openalex", "stream": "TRUCK", "query_id": "TRUCK-1" }, { "db": "openalex", "stream": "UAV", "query_id": "UAV-1" }, { "db": "openalex", "stream": "UAV", "query_id": "UAV-2" }, { "db": "scopus", "stream": "TRUCK", "query_id": "TRUCK-1" }, { "db": "scopus", "stream": "UAV", "query_id": "UAV-1" }, { "db": "scopus", "stream": "UAV", "query_id": "UAV-2" } ], "streams": [ "TRUCK", "UAV" ], "relevance_signals": [ "UAV", "TRUCK" ], "auto_exclude_reason": null, "screening_status": "pending_human_screening", "screened_by": "auto-v1.0.0" }, { "id": "doi:10.1093/imaman/dpaf022", "doi": "10.1093/imaman/dpaf022", "title": "New saving-based formulae for the truck–drone routing problem", "year": 2025, "authors": [ "Batool Madani", "Malick Ndiaye", "Saı̈d Salhi" ], "first_author": "Batool Madani", "venue": "IMA Journal of Management Mathematics", "volume": "36", "pages": "727-757", "type": "article", "language": "en", "abstract": "Abstract Accepted by: M. Zied Babai This study investigates the hybrid truck–drone routing problem with an emphasis on last-mile delivery. To address this challenge, novel savings rules are developed by extending the classical Clarke and Wright savings formula, and these are incorporated into an adapted savings-based heuristic. In contrast to the traditional Clarke and Wright algorithm, the drone launch and retrieval points are not predetermined but instead depend on the truck’s route, resulting in greater complexity and flexibility. Consequently, nine distinct configurations are identified, each associated with a specific savings formulation. These contribute to the development of an enhanced Clarke and Wright-based heuristic, further augmented with a computational acceleration mechanism. For comparative evaluation, a sweep-based algorithm is also implemented to handle larger problem instances. The proposed savings-based heuristic (MSH) demonstrates superior performance over the sweep-based method, effectively capturing the operational structure of a moving depot. While the new savings equations remain relatively simple, they offer analytically rigorous and computationally efficient solutions that can serve as a strong foundation for future hybrid or metaheuristic approaches.", "keywords": [ "Drone", "Truck", "Routing (electronic design automation)", "Computer science", "Vehicle routing problem", "Operations research", "Aeronautics", "Automotive engineering", "Engineering", "Computer network" ], "cited_by_openalex": 0, "cited_by_scopus": "0", "eid": "2-s2.0-105019338415", "pii": null, "open_access_url": "https://doi.org/10.1093/imaman/dpaf022", "sources": [ { "db": "openalex", "stream": "TRUCK", "query_id": "TRUCK-1" }, { "db": "openalex", "stream": "TRUCK", "query_id": "TRUCK-3" }, { "db": "openalex", "stream": "UAV", "query_id": "UAV-1" }, { "db": "openalex", "stream": "UAV", "query_id": "UAV-2" }, { "db": "scopus", "stream": "TRUCK", "query_id": "TRUCK-1" }, { "db": "scopus", "stream": "TRUCK", "query_id": "TRUCK-3" }, { "db": "scopus", "stream": "UAV", "query_id": "UAV-1" }, { "db": "scopus", "stream": "UAV", "query_id": "UAV-2" } ], "streams": [ "TRUCK", "UAV" ], "relevance_signals": [ "UAV", "TRUCK" ], "auto_exclude_reason": null, "screening_status": "pending_human_screening", "screened_by": "auto-v1.0.0" }, { "id": "doi:10.48550/arxiv.2509.18162", "doi": "10.48550/arxiv.2509.18162", "title": "A Simple and Reproducible Hybrid Solver for a Truck-Drone VRP with Recharge", "year": 2025, "authors": [ "Meraryslan Meraliyev", "Cemil Turan", "Shirali Kadyrov" ], "first_author": "Meraryslan Meraliyev", "venue": "arXiv (Cornell University)", "volume": null, "pages": null, "type": "preprint", "language": "en", "abstract": "We study last-mile delivery with one truck and one drone under explicit battery management: the drone flies at twice the truck speed; each sortie must satisfy an endurance budget; after every delivery the drone recharges on the truck before the next launch. We introduce a hybrid reinforcement learning (RL) solver that couples an ALNS-based truck tour (with 2/3-opt and Or-opt) with a small pointer/attention policy that schedules drone sorties. The policy decodes launch-serve-rendezvous triplets with hard feasibility masks for endurance and post-delivery recharge; a fast, exact timeline simulator enforces launch/recovery handling and computes the true makespan used by masked greedy/beam decoding. On Euclidean instances with $N{=}50$, $E{=}0.7$, and $R{=}0.1$, the method achieves an average makespan of \\textbf{5.203}$\\pm$0.093, versus \\textbf{5.349}$\\pm$0.038 for ALNS and \\textbf{5.208}$\\pm$0.124 for NN -- i.e., \\textbf{2.73\\%} better than ALNS on average and within \\textbf{0.10\\%} of NN. Per-seed, the RL scheduler never underperforms ALNS on the same instance and ties or beats NN on two of three seeds. A decomposition of the makespan shows the expected truck-wait trade-off across heuristics; the learned scheduler balances both to minimize the total completion time. We provide a config-first implementation with plotting and significance-test utilities to support replication.", "keywords": [ "Job shop scheduling", "Solver", "Truck", "Drone", "Scheduling (production processes)", "Simple (philosophy)", "Vehicle routing problem", "Decomposition" ], "cited_by_openalex": 0, "cited_by_scopus": 0, "eid": null, "pii": null, "open_access_url": "https://arxiv.org/pdf/2509.18162", "sources": [ { "db": "openalex", "stream": "TRUCK", "query_id": "TRUCK-1" }, { "db": "openalex", "stream": "UAV", "query_id": "UAV-1" } ], "streams": [ "TRUCK", "UAV" ], "relevance_signals": [ "UAV", "TRUCK" ], "auto_exclude_reason": null, "screening_status": "pending_human_screening", "screened_by": "auto-v1.0.0" }, { "id": "doi:10.1117/12.3068487", "doi": "10.1117/12.3068487", "title": "UAV assisted truck delivery route optimization via reinforcement learning", "year": 2025, "authors": [ "Yawen Xu", "Hongwei Ma", "Dequn Zhao", "Qianhua Deng", "Zikai Liu" ], "first_author": "Yawen Xu", "venue": "Proceedings of SPIE the International Society for Optical Engineering", "volume": "13576", "pages": null, "type": "conference-paper", "language": "en", "abstract": "With the rapid growth of e-commerce, traditional logistics faces the \"last mile\" delivery problem, characterized by low efficiency and high costs. This paper models the truck-drone cooperative delivery problem as the TSPD problem, using a Markov decision process, and proposes a deep reinforcement learning-based encoder-decoder framework to solve it. The improved DFPG algorithm, based on A2C, is employed for training. During training, a multi-attention encoder is used to embed node information, and the xLSTM fusion attention mechanism decoder is employed for path optimization. The attention mechanism is redefined to embed unselected truck and drone nodes as context, reducing invalid path selections. Experimental results show that the proposed method performs well on TSPD and TSPDCSR datasets of varying customer sizes, particularly on large-scale datasets, where it outperforms two other models, confirming its effectiveness and superiority", "keywords": [ "Truck", "Reinforcement learning", "Computer science", "Simulation", "Automotive engineering", "Engineering", "Artificial intelligence" ], "cited_by_openalex": 0, "cited_by_scopus": "0", "eid": "2-s2.0-105007615421", "pii": null, "open_access_url": "https://doi.org/10.1117/12.3068487", "sources": [ { "db": "openalex", "stream": "TRUCK", "query_id": "TRUCK-1" }, { "db": "openalex", "stream": "UAV", "query_id": "UAV-1" }, { "db": "scopus", "stream": "TRUCK", "query_id": "TRUCK-1" }, { "db": "scopus", "stream": "UAV", "query_id": "UAV-1" } ], "streams": [ "TRUCK", "UAV" ], "relevance_signals": [ "UAV", "TRUCK" ], "auto_exclude_reason": null, "screening_status": "pending_human_screening", "screened_by": "auto-v1.0.0" }, { "id": "doi:10.2139/ssrn.5210949", "doi": "10.2139/ssrn.5210949", "title": "Optimization and Eco-Routing Evaluation of Truck Routes with Time-Dependent Traffic", "year": 2025, "authors": [ "Yunfei Ma", "Elkafi Hassini", "Saiedeh Razavi" ], "first_author": "Yunfei Ma", "venue": "SSRN Electronic Journal", "volume": null, "pages": null, "type": "preprint", "language": "en", "abstract": null, "keywords": [ "Truck", "Routing (electronic design automation)", "Transport engineering", "Vehicle routing problem", "Computer science", "Business", "Operations research", "Computer network", "Engineering", "Automotive engineering" ], "cited_by_openalex": 0, "cited_by_scopus": 0, "eid": null, "pii": null, "open_access_url": "https://doi.org/10.2139/ssrn.5210949", "sources": [ { "db": "openalex", "stream": "TRUCK", "query_id": "TRUCK-1" }, { "db": "openalex", "stream": "TRUCK", "query_id": "TRUCK-2" } ], "streams": [ "TRUCK" ], "relevance_signals": [ "TRUCK_NO_CTX" ], "auto_exclude_reason": "EC-4-topic", "screening_status": "auto_excluded", "screened_by": "auto-v1.0.0" }, { "id": "doi:10.2139/ssrn.5210950", "doi": "10.2139/ssrn.5210950", "title": "Optimization and Eco-Routing Evaluation of Truck Routes with Time-Dependent Traffic", "year": 2025, "authors": [ "Yunfei Ma", "Elkafi Hassini", "Saiedeh Razavi" ], "first_author": "Yunfei Ma", "venue": "SSRN Electronic Journal", "volume": null, "pages": null, "type": "preprint", "language": "en", "abstract": null, "keywords": [ "Truck", "Routing (electronic design automation)", "Transport engineering", "Vehicle routing problem", "Computer science", "Travel time", "Operations research", "Computer network", "Engineering", "Automotive engineering" ], "cited_by_openalex": 0, "cited_by_scopus": 0, "eid": null, "pii": null, "open_access_url": "https://doi.org/10.2139/ssrn.5210950", "sources": [ { "db": "openalex", "stream": "TRUCK", "query_id": "TRUCK-1" }, { "db": "openalex", "stream": "TRUCK", "query_id": "TRUCK-2" } ], "streams": [ "TRUCK" ], "relevance_signals": [ "TRUCK_NO_CTX" ], "auto_exclude_reason": "EC-4-topic", "screening_status": "auto_excluded", "screened_by": "auto-v1.0.0" }, { "id": "doi:10.25365/thesis.79578", "doi": "10.25365/thesis.79578", "title": "A solution technique for the truck and drone parcel delivery problem", "year": 2025, "authors": [ "Lidi, Márk" ], "first_author": "Lidi, Márk", "venue": "University of Vienna", "volume": null, "pages": null, "type": "dissertation", "language": "en", "abstract": "Diese Arbeit befasst sich mit den drängenden Herausforderungen des städtischen Güterverkehrs und der letzten Meile in der Europäischen Union. Insbesondere das starke Wachstum des Onlinehandels sowie die fortschreitende Urbanisierung erhöhen den Druck auf bestehende Transportinfrastrukturen. Der Straßengüterverkehr dominiert zwar weiterhin die Logistik, verursacht jedoch einen beträchtlichen Anteil an Treibhausgasemissionen, Luftschadstoffen und Verkehrsstaus (WEF, 2024; Sustainable Urban Logistics Plans, EU, 2023). Vor dem Hintergrund der europäischen Klimapolitik und ambitionierter Nachhaltigkeitsziele gewinnt daher die Entwicklung innovativer Konzepte an Bedeutung, um Transportprozesse mit den Emissionsreduktionsvorgaben in Einklang zu bringen (Levrey, 2024; Mahmoodi et al., 2025). In diesem Kontext wird ein heuristik-basierter Planungsansatz vorgestellt, der klassische Methoden der Routenoptimierung mit neuen Lieferkonzepten – darunter unbemannte Luftfahrzeuge (UAVs) und autonome Systeme – verbindet. Ziel ist es, Lieferketten so zu gestalten, dass technische Rahmenbedingungen wie begrenzte Drohnenreichweiten, Nutzlastgrenzen, Ladeinfrastruktur oder gesetzliche Flugverbotszonen berücksichtigt werden, ohne die praktische Anwendbarkeit durch übermäßige Rechenlast zu gefährden (Mahmoodi et al., 2025; Cicek et al., 2025). Die empirischen Ergebnisse verdeutlichen die Zielkonflikte zwischen Kosten, Zeitaufwand und ökologischen Effekten. Besonders in dicht besiedelten urbanen Räumen lassen sich mit kombinierten Drohnen-Lkw-Modellen die CO₂-Emissionen um bis zu 20 % im Vergleich zu rein dieselbetriebenen Lkw-Systemen senken (Bao et al., 2025). Damit liefert die Arbeit einen Beitrag zur wissenschaftlichen Debatte über nachhaltige urbane Logistik, indem sie sowohl theoretische Grundlagen als auch praxisnahe Ansätze zusammenführt. Der entwickelte Algorithmus unterstreicht das Potenzial hybrider Zustelllösungen, die den Einsatz von Drohnen mit Lkw und die Integration von E-Cargobikes kombinieren. Solche Konzepte eröffnen neue Möglichkeiten, Emissionen zu verringern und die Effizienz in der letzten Meile zu erhöhen. Über die wissenschaftliche Relevanz hinaus bieten die Erkenntnisse wertvolle Anhaltspunkte für politische Entscheidungsträger, Logistikunternehmen und Stadtverwaltungen, die auf dem Weg zu sauberen, resilienten und intelligenten städtischen Transportsystemen sind – im Einklang mit dem European Green Deal sowie den Nachhaltigkeitsstrategien der Europäischen Kommission (Levrey, 2024; Sustainable Urban Logistics Plans, EU, 2023).", "keywords": [ "Context (archaeology)", "European union", "Truck" ], "cited_by_openalex": 0, "cited_by_scopus": 0, "eid": null, "pii": null, "open_access_url": "https://doi.org/10.25365/thesis.79578", "sources": [ { "db": "openalex", "stream": "TRUCK", "query_id": "TRUCK-1" }, { "db": "openalex", "stream": "UAV", "query_id": "UAV-1" } ], "streams": [ "TRUCK", "UAV" ], "relevance_signals": [ "UAV", "TRUCK" ], "auto_exclude_reason": null, "screening_status": "pending_human_screening", "screened_by": "auto-v1.0.0" }, { "id": "doi:10.1007/978-3-032-03538-7_27", "doi": "10.1007/978-3-032-03538-7_27", "title": "Optimization of Truck Loading and Delivery Routes Using an Environment-Adaptive Genetic Algorithm", "year": 2025, "authors": [ "Tatsuhiko SAKAGUCHI", "Yuki Nakadan" ], "first_author": "Tatsuhiko SAKAGUCHI", "venue": "IFIP advances in information and communication technology", "volume": "766 IFIPAICT", "pages": "377-386", "type": "conference-paper", "language": "en", "abstract": null, "keywords": [ "Truck", "Genetic algorithm", "Computer science", "Algorithm", "Mathematical optimization", "Engineering", "Mathematics", "Automotive engineering", "Machine learning" ], "cited_by_openalex": 0, "cited_by_scopus": "0", "eid": "2-s2.0-105015507330", "pii": null, "open_access_url": "https://doi.org/10.1007/978-3-032-03538-7_27", "sources": [ { "db": "openalex", "stream": "TRUCK", "query_id": "TRUCK-1" }, { "db": "scopus", "stream": "TRUCK", "query_id": "TRUCK-1" } ], "streams": [ "TRUCK" ], "relevance_signals": [ "TRUCK_NO_CTX" ], "auto_exclude_reason": "EC-4-topic", "screening_status": "auto_excluded", "screened_by": "auto-v1.0.0" }, { "id": "doi:10.5281/zenodo.18032536", "doi": "10.5281/zenodo.18032536", "title": "Electric Trucks Market: Driving the Transition Toward Sustainable Commercial Transportation", "year": 2025, "authors": [ "Next Move Strategy Consulting" ], "first_author": "Next Move Strategy Consulting", "venue": "Zenodo (CERN European Organization for Nuclear Research)", "volume": null, "pages": null, "type": "report", "language": null, "abstract": "The Electric Truck Market is experiencing rapid expansion as governments, fleet operators, and manufacturers increasingly prioritize sustainable mobility solutions. The shift toward electrification in commercial transportation is supported by growing awareness of climate change, stricter emission regulations, and advancements in electric drivetrain technologies. Electric trucks are being adopted for both short-haul and long-haul applications, particularly in urban logistics and regional freight operations. Access Full Report- https://www.nextmsc.com/report/electric-truck-market", "keywords": [ "Truck", "Electrification", "Drivetrain", "Sustainable transport", "Battery electric vehicle", "Electric vehicle", "Sustainable development" ], "cited_by_openalex": 0, "cited_by_scopus": 0, "eid": null, "pii": null, "open_access_url": "https://doi.org/10.5281/zenodo.18032536", "sources": [ { "db": "openalex", "stream": "TRUCK", "query_id": "TRUCK-1" } ], "streams": [ "TRUCK" ], "relevance_signals": [ "TRUCK" ], "auto_exclude_reason": null, "screening_status": "pending_human_screening", "screened_by": "auto-v1.0.0" }, { "id": "doi:10.1016/j.trpro.2025.06.033", "doi": "10.1016/j.trpro.2025.06.033", "title": "Impact of Truck Access Restrictions on Freight Operations and Driver Quality of Life in Urban India", "year": 2025, "authors": [ "Ish Kumar", "R Lakshman", "Bhaskar Gowd Sudagani" ], "first_author": "Ish Kumar", "venue": "Transportation research procedia", "volume": "90", "pages": "59-66", "type": "article", "language": "en", "abstract": "Truck access restrictions are a common strategy to manage freight traffic in cities and reduce congestion and pollution. However, these restrictions can also lead to significant operational, increase in costs and negatively impact truck drivers and their quality of life. The research identifies unproductive time caused by truck access restrictions and analyzes its effects on drivers in Delhi, India. Findings reveal significant delays and inefficiencies, particularly due to receiver unavailability and operational constraints. Regulatory factors exacerbate delays, impacting freight vehicles involved in regional deliveries. The study calculates the economic burden of these delays, emphasizing the importance of optimizing delivery schedules, reducing unproductive times, and improving policy coordination. Based on the findings, recommendations are provided for a multi-pronged approach to improve urban freight management. These include promoting collaborative practices, evaluating the impact of regulations, investing in designated loading/unloading hubs, and encouraging the use of technology solutions. By implementing these recommendations, policymakers and industry stakeholders can create a more efficient and cost-effective urban freight system in Delhi and similar urban environments.", "keywords": [ "Truck", "Transport engineering", "Quality (philosophy)", "Business", "Automotive engineering", "Operations management", "Engineering" ], "cited_by_openalex": 0, "cited_by_scopus": "0", "eid": "2-s2.0-105010296312", "pii": "S2352146525005423", "open_access_url": "https://doi.org/10.1016/j.trpro.2025.06.033", "sources": [ { "db": "openalex", "stream": "TRUCK", "query_id": "TRUCK-1" }, { "db": "scopus", "stream": "TRUCK", "query_id": "TRUCK-1" } ], "streams": [ "TRUCK" ], "relevance_signals": [ "TRUCK" ], "auto_exclude_reason": null, "screening_status": "pending_human_screening", "screened_by": "auto-v1.0.0" }, { "id": "doi:10.5281/zenodo.18032535", "doi": "10.5281/zenodo.18032535", "title": "Electric Trucks Market: Driving the Transition Toward Sustainable Commercial Transportation", "year": 2025, "authors": [ "Next Move Strategy Consulting" ], "first_author": "Next Move Strategy Consulting", "venue": "Zenodo (CERN European Organization for Nuclear Research)", "volume": null, "pages": null, "type": "report", "language": null, "abstract": "The Electric Truck Market is experiencing rapid expansion as governments, fleet operators, and manufacturers increasingly prioritize sustainable mobility solutions. The shift toward electrification in commercial transportation is supported by growing awareness of climate change, stricter emission regulations, and advancements in electric drivetrain technologies. Electric trucks are being adopted for both short-haul and long-haul applications, particularly in urban logistics and regional freight operations. Access Full Report- https://www.nextmsc.com/report/electric-truck-market", "keywords": [ "Truck", "Electrification", "Drivetrain", "Sustainable transport", "Battery electric vehicle", "Electric vehicle", "Sustainable development" ], "cited_by_openalex": 0, "cited_by_scopus": 0, "eid": null, "pii": null, "open_access_url": "https://doi.org/10.5281/zenodo.18032535", "sources": [ { "db": "openalex", "stream": "TRUCK", "query_id": "TRUCK-1" } ], "streams": [ "TRUCK" ], "relevance_signals": [ "TRUCK" ], "auto_exclude_reason": null, "screening_status": "pending_human_screening", "screened_by": "auto-v1.0.0" }, { "id": "doi:10.59160/ijscm.v14i3.6308", "doi": "10.59160/ijscm.v14i3.6308", "title": "Strategic VMI Adoption in LSP Operations: Minimizing Truck TAT in JIT Supply Chains", "year": 2025, "authors": [ "Adithya Narayanan Rajesh" ], "first_author": "Adithya Narayanan Rajesh", "venue": "International Journal of Supply Chain Management", "volume": null, "pages": null, "type": "article", "language": "en", "abstract": "This study explores the evolution of Vendor Managed Inventory (VMI) within the supply chain of a large-scale motorcycle manufacturer, tracking its progression from a traditional non-VMI model to a centralized VMI system, and eventually to a decentralized, logistics service provider (LSP)- integrated framework. It examines the challenges associated with each VMI model, key structural changes, and the innovative solutions that enabled the company to overcome operational challenges. The shift to a centralized VMI model led to increased transportation costs and supplier resistance, limiting its overall effectiveness and prompting the company to adopt an LSP-integrated VMI framework. This decentralized approach balances cost efficiency with improved supplier collaboration, making it well- suited for manufacturers with geographically dispersed supplier networks. The study also analyzes issues related to last-mile delivery—particularly high truck turnaround time (TAT) in a Just-In-Time (JIT) environment—and how the implementation of a Logistics Control Tower (LCT), along with other strategic initiatives, helped reduce TAT from eight hours to four. The findings offer actionable insights for manufacturers aiming to enhance inbound logistics through effective VMI models, while addressing common implementation challenges with practical, real-world solutions. The study also contributes to the existing body of knowledge on VMI by introducing a decentralized framework integrated within LSP operations.", "keywords": [ "Truck", "Business", "Supply chain", "Operations management", "Computer science", "Industrial organization", "Marketing", "Economics", "Automotive engineering" ], "cited_by_openalex": 0, "cited_by_scopus": 0, "eid": null, "pii": null, "open_access_url": "https://doi.org/10.59160/ijscm.v14i3.6308", "sources": [ { "db": "openalex", "stream": "TRUCK", "query_id": "TRUCK-1" } ], "streams": [ "TRUCK" ], "relevance_signals": [ "TRUCK" ], "auto_exclude_reason": null, "screening_status": "pending_human_screening", "screened_by": "auto-v1.0.0" }, { "id": "doi:10.2139/ssrn.5317463", "doi": "10.2139/ssrn.5317463", "title": "A Shared Framework of Unpairing Truck-Drone Coordination with Cross-Fleet Reallocation", "year": 2025, "authors": [ "Yuhang Han", "Yuxuan Sun", "Wang Li", "Dong Sasha" ], "first_author": "Yuhang Han", "venue": "SSRN Electronic Journal", "volume": null, "pages": null, "type": "preprint", "language": "en", "abstract": null, "keywords": [ "Drone", "Truck", "Computer science", "Transport engineering", "Aeronautics", "Engineering", "Automotive engineering" ], "cited_by_openalex": 0, "cited_by_scopus": 0, "eid": null, "pii": null, "open_access_url": "https://doi.org/10.2139/ssrn.5317463", "sources": [ { "db": "openalex", "stream": "TRUCK", "query_id": "TRUCK-1" }, { "db": "openalex", "stream": "TRUCK", "query_id": "TRUCK-3" }, { "db": "openalex", "stream": "UAV", "query_id": "UAV-1" } ], "streams": [ "TRUCK", "UAV" ], "relevance_signals": [ "UAV_NO_CTX", "TRUCK_NO_CTX" ], "auto_exclude_reason": "EC-4-topic", "screening_status": "auto_excluded", "screened_by": "auto-v1.0.0" }, { "id": "doi:10.32469/10355/111051", "doi": "10.32469/10355/111051", "title": "Optimization frameworks for collaborative truck-drone logistics under environmental and operational considerations", "year": 2025, "authors": [ "Arash Alizadeh" ], "first_author": "Arash Alizadeh", "venue": null, "volume": null, "pages": null, "type": "dissertation", "language": "en", "abstract": "The integration of unmanned vehicles (UVs) into last-mile logistics enables costefficient, rapid, and environmentally sustainable deliveries. Yet, most prior work treats operational and environmental factors separately and simplifies key dependencies such as speed regulation, roadway grade, and coordination among heterogeneous vehicles. This dissertation develops a unified suite of optimization frameworks that address these gaps through three progressively enriched variants, each supported by mixed-integer programming (MIP) and advanced metaheuristics. The first variant introduces the Truck Multi-Drone Pollution Routing Problem with Pickup and Delivery under Variable Truck Speeds (TMD-PRP-PDVS). The formulation integrates multi-drone coordination, segment-specific truck speed control, and weight-dependent fuel and energy models. A MIP minimizes truck fuel, drone energy, and labor costs, while an adaptive large neighborhood search (ALNS) efficiently solves larger instances. Experiments show that collaboration with drones reduces total cost by about 40 percent relative to truck-only delivery, and speed optimization yields an additional 7–13 percent reduction across contrasting cost regimes. The second variant extends the framework to the Gradient-Aware Truck–Drone Pollution Routing Problem with Adaptive Drone Deployment Sites and Soft Time Windows (GA-TDPRP-AS-STW), explicitly modeling roadway slopes, variable truck speeds, and flexible drone deployment sites under penalty-based time windows. Both a MIP and an enhanced ALNS are developed. On small benchmarks, the MIP proves optimality and the ALNS attains near-optimal solutions; on larger sets (up to 100 customers), the ALNS scales effectively. Collaboration delivers 33–40 percent savings over truck-only, and speed optimization contributes a further 6–12 percent, reaching up to 62 percent total savings. Elevation data and adaptive sites expand synchronization options and lower fuel consumption even when route length increases modestly. Lastly, the third variant, A Synergistic Truck-Drone-Robot System for Last-Mile Delivery with Hand-Off Points and Microstations for Dynamic Repositioning, unifies tri-vehicle operations with a network of micro-/docking stations that enable parallel service, recovery without truck waiting, and dynamic drone and ADR repositioning. For this variant, an ALNS developed to coordinate facility usage, routing, and allocation decisions. Computational studies indicate 20–38 percent reductions in completion time versus truck-only baselines, with additional gains when hybrid trucks carry UVs between stations. Across variants, extensive experiments demonstrate that integrating environmental characteristics, speed selection, adaptive deployment sites, and facility-aided repositioning materially improves both cost and completion time performance. The resulting models and algorithms provide actionable guidance for designing sustainable, multi-agent last-mile networks.", "keywords": [ "Truck", "Software deployment", "Drone", "Variable (mathematics)", "Routing (electronic design automation)", "Key (lock)", "Vehicle routing problem", "Throughput", "Work (physics)" ], "cited_by_openalex": 0, "cited_by_scopus": 0, "eid": null, "pii": null, "open_access_url": "https://doi.org/10.32469/10355/111051", "sources": [ { "db": "openalex", "stream": "TRUCK", "query_id": "TRUCK-1" }, { "db": "openalex", "stream": "UAV", "query_id": "UAV-1" }, { "db": "openalex", "stream": "UAV", "query_id": "UAV-2" } ], "streams": [ "TRUCK", "UAV" ], "relevance_signals": [ "UAV", "TRUCK" ], "auto_exclude_reason": null, "screening_status": "pending_human_screening", "screened_by": "auto-v1.0.0" }, { "id": "doi:10.1145/3795154.3795266", "doi": "10.1145/3795154.3795266", "title": "Research on Multi-objective Optimization of Truck-Drone Collaborative Delivery for the “Last Mile” in Rural Areas", "year": 2025, "authors": [ "Qing Li", "Xu Xu", "Chan He" ], "first_author": "Qing Li", "venue": "Proceedings of 2025 6th International Conference on Computer Science and Management Technology Iccsmt 2025", "volume": null, "pages": "685-689", "type": "conference-paper", "language": null, "abstract": "This study addresses the “last-mile” delivery challenge in rural logistics by proposing a collaborative route optimization plan for a single truck carrying multiple drones. A mathematical model was established with the objective function of minimizing total delivery cost, which includes the fixed usage costs, delivery costs for both the truck and drones, and the waiting costs for the drones. To solve this model, the research employed the Grey Wolf Optimizer (GWO) and compared its performance against the Genetic Algorithm (GA) and Ant Colony Optimization (ACO). The experimental results show that the cost reduction is mainly attributed to the effective optimization of the unmanned aerial vehicle (UAV) delivery tasks and routes, thereby reducing the delivery and waiting expenses of UAVs. Furthermore, a sensitivity analysis revealed that the relationship between drone speed and endurance and the total cost is not simply linear; an optimal economic range exists. This research not only validates the effectiveness of the truck-drone collaborative delivery model and the GWO algorithm but also offers valuable practical guidance for configuring the parameters of such systems in real-world applications.", "keywords": [ "Ant colony optimization algorithms", "Truck", "Genetic algorithm", "Total cost", "Plan (archaeology)", "Sensitivity (control systems)", "Rural area", "Multi-objective optimization", "Duration (music)" ], "cited_by_openalex": 0, "cited_by_scopus": "0", "eid": "2-s2.0-105036498004", "pii": null, "open_access_url": "https://doi.org/10.1145/3795154.3795266", "sources": [ { "db": "openalex", "stream": "TRUCK", "query_id": "TRUCK-1" }, { "db": "openalex", "stream": "UAV", "query_id": "UAV-1" }, { "db": "scopus", "stream": "TRUCK", "query_id": "TRUCK-1" }, { "db": "scopus", "stream": "UAV", "query_id": "UAV-1" } ], "streams": [ "TRUCK", "UAV" ], "relevance_signals": [ "UAV", "TRUCK" ], "auto_exclude_reason": null, "screening_status": "pending_human_screening", "screened_by": "auto-v1.0.0" }, { "id": "doi:10.2139/ssrn.5210954", "doi": "10.2139/ssrn.5210954", "title": "Truck-Drone Tandem Delivery with Time Window: Its Efficiency, Cost Structure, and Carbon Emission", "year": 2025, "authors": [ "NA WU", "J. Z.", "Yuandong Liu" ], "first_author": "NA WU", "venue": "SSRN Electronic Journal", "volume": null, "pages": null, "type": "preprint", "language": "en", "abstract": null, "keywords": [ "Truck", "Window (computing)", "Tandem", "Drone", "Carbon fibers", "Environmental science", "Business", "Automotive engineering", "Computer science", "Engineering", "Aerospace engineering", "Operating system" ], "cited_by_openalex": 0, "cited_by_scopus": 0, "eid": null, "pii": null, "open_access_url": "https://doi.org/10.2139/ssrn.5210954", "sources": [ { "db": "openalex", "stream": "TRUCK", "query_id": "TRUCK-1" }, { "db": "openalex", "stream": "TRUCK", "query_id": "TRUCK-3" }, { "db": "openalex", "stream": "UAV", "query_id": "UAV-1" }, { "db": "openalex", "stream": "UAV", "query_id": "UAV-2" } ], "streams": [ "TRUCK", "UAV" ], "relevance_signals": [ "UAV_NO_CTX", "TRUCK_NO_CTX" ], "auto_exclude_reason": "EC-4-topic", "screening_status": "auto_excluded", "screened_by": "auto-v1.0.0" }, { "id": "doi:10.2139/ssrn.5986860", "doi": "10.2139/ssrn.5986860", "title": "Decoder-Free Graph Representation Learning for Spatio-Temporal Truck Dwelling Heterogeneity", "year": 2025, "authors": [ "Ziyi Wang", "Yongxi Gong", "Christophe Claramunt", "Meihan Jin", "Wei Ting Tu" ], "first_author": "Ziyi Wang", "venue": "SSRN Electronic Journal", "volume": null, "pages": null, "type": "preprint", "language": null, "abstract": null, "keywords": [ "Truck", "Representation (politics)", "Graph", "Flow network", "Enhanced Data Rates for GSM Evolution", "Embedding", "Feature learning", "Key (lock)", "Construct (python library)" ], "cited_by_openalex": 0, "cited_by_scopus": 0, "eid": null, "pii": null, "open_access_url": "https://doi.org/10.2139/ssrn.5986860", "sources": [ { "db": "openalex", "stream": "TRUCK", "query_id": "TRUCK-1" } ], "streams": [ "TRUCK" ], "relevance_signals": [ "TRUCK_NO_CTX" ], "auto_exclude_reason": "EC-4-topic", "screening_status": "auto_excluded", "screened_by": "auto-v1.0.0" }, { "id": "doi:10.1061/9780784486269.336", "doi": "10.1061/9780784486269.336", "title": "Guangzhou’s Urban Freight Facilities: Mapping the Spatial Evolution and Traffic Impacts", "year": 2025, "authors": [ "Simin Xiong", "Wen Zhang", "Jinyin Cui", "Jiajun Wang", "Quan Yuan", "Xiangshun Wang", "Haocheng Lin" ], "first_author": "Simin Xiong", "venue": "Cictp 2025 Transportation Artificial Intelligence and Energy Proceedings of the 25th Cota International Conference of Transportation Professionals", "volume": null, "pages": "3545-3554", "type": "conference-paper", "language": null, "abstract": "In the last decade, urban freight demand has grown substantially, driven by the expansion of urban population and industrial activities. This has facilitated the requirements for urban freight traffic planning, especially forecasting freight traffic demand at the metropolitan scale. Corporate freight facilities, as a major form of land use that generates truck demand, are key to estimating the overall flow of urban freight traffic. Understanding how the locations of urban freight facilities change as cities grow can help build a solid foundation for formulating sustainable policies to manage urban freight traffic. Though previous studies have examined the concept and location of corporate freight facilities, they failed to systematically identify such facilities due to the lack of high-quality data sets. Our study aims to fill this gap by utilizing advanced data mining methods such as remote sensing and computer vision to recognize the location of freight facilities within Guangzhou city from 2014 to 2023. We then explore the spatiotemporal evolution patterns of such facilities and analyze the potential generation of freight vehicle trips out of them. By discovering hot spot areas of freight vehicle generation, analyzing latent traffic bottlenecks, and integrating the evolution patterns of freight facilities, this study could help predict future changes and provide recommendations for local urban freight traffic management from a long-term perspective. This paper offers a creative research pipeline, broadens the research horizons of integrated urban freight traffic planning, and has a positive significance for the study of sustainable freight traffic planning.", "keywords": [ "Traffic management", "Metropolitan area", "Truck", "TRIPS architecture", "City logistics", "Population", "Trip generation", "Urban planning", "Megacity" ], "cited_by_openalex": 0, "cited_by_scopus": "0", "eid": "2-s2.0-105041233156", "pii": null, "open_access_url": "https://doi.org/10.1061/9780784486269.336", "sources": [ { "db": "openalex", "stream": "TRUCK", "query_id": "TRUCK-1" }, { "db": "scopus", "stream": "TRUCK", "query_id": "TRUCK-1" } ], "streams": [ "TRUCK" ], "relevance_signals": [ "TRUCK" ], "auto_exclude_reason": null, "screening_status": "pending_human_screening", "screened_by": "auto-v1.0.0" }, { "id": "doi:10.17615/0gdf-j137", "doi": "10.17615/0gdf-j137", "title": "Vulnerable road user safety and freight vehicles: A case study in North Carolina and Tennessee", "year": 2025, "authors": [ "Jueyu Wang", "Saurav Parajuli", "Christopher Cherry", "Noreen McDonald", "Torrey Lyons" ], "first_author": "Jueyu Wang", "venue": "Carolina Digital Repository (University of North Carolina at Chapel Hill)", "volume": null, "pages": null, "type": "article", "language": "en", "abstract": null, "keywords": [ "Crash", "Poison control", "Road traffic", "Occupational safety and health", "Human factors and ergonomics", "Injury prevention" ], "cited_by_openalex": 0, "cited_by_scopus": 0, "eid": null, "pii": null, "open_access_url": "https://doi.org/10.17615/0gdf-j137", "sources": [ { "db": "openalex", "stream": "TRUCK", "query_id": "TRUCK-1" } ], "streams": [ "TRUCK" ], "relevance_signals": [ "TRUCK_NO_CTX" ], "auto_exclude_reason": "EC-4-topic", "screening_status": "auto_excluded", "screened_by": "auto-v1.0.0" }, { "id": "doi:10.30977/bul.2219-5548.2025.109.0.169", "doi": "10.30977/bul.2219-5548.2025.109.0.169", "title": "Application of a transport macro model for assessing the assignment of urban freight traffic", "year": 2025, "authors": [ "Volodymyr O. Sistuk" ], "first_author": "Volodymyr O. Sistuk", "venue": "Bulletin of Kharkov National Automobile and Highway University", "volume": null, "pages": null, "type": "article", "language": "en", "abstract": "Abstract. Problem. The volume of contemporary scientific research dedicated to modeling urban freight transport flows remains insufficient. There are no scientific publications addressing such studies for the city of Kryvyi Rih. This highlights the relevance of developing a macroscopic freight transport model for Kryvyi Rih, which would enable the assessment of freight traffic assignment across the city’s road network. Goal. Determination of functional relationships for freight traffic flow modeling in Kryvyi Rih using a macroscopic transport model. Methodology. The research methodology is based on the classical four-step travel demand model, which involves determining the appropriate parameters for functional relationships used at various modeling stages, namely: trip generation, travel cost calculation, trip distribution, and assignment. The changes in demand were assessed by measuring freight traffic intensity at seven locations in the city of Kryvyi Rih, while changes in supply were evaluated by identifying segments of the street network with restrictions on the movement of heavy freight vehicles. To validate the traffic assignment procedure within the model, the convergence criterion known as the «GAP» (hypothetic vehicle impedance) was applied. Results. As a result of the modeling, freight traffic flow intensities were determined for all segments of the street and road network in the city of Kryvyi Rih. Originality. The functional relationships identified for modeling the distribution of freight vehicles across the network contribute to the advancement of existing freight demand research methods using specialized software tools. Practical value. The model enables the analysis of an unlimited number of scenarios related to changes in urban freight transport in the city of Kryvyi Rih.", "keywords": [ "Macro", "Transport engineering", "Traffic management", "Computer science", "Operations research", "Business", "Engineering" ], "cited_by_openalex": 0, "cited_by_scopus": 0, "eid": null, "pii": null, "open_access_url": "http://bulletin.khadi.kharkov.ua/article/download/336107/324871", "sources": [ { "db": "openalex", "stream": "TRUCK", "query_id": "TRUCK-1" } ], "streams": [ "TRUCK" ], "relevance_signals": [ "TRUCK" ], "auto_exclude_reason": null, "screening_status": "pending_human_screening", "screened_by": "auto-v1.0.0" }, { "id": "title:traffic reduction potential of autonomous driving freight vehicles in urban settings", "doi": null, "title": "Traffic reduction potential of autonomous driving freight vehicles in urban settings", "year": 2025, "authors": [ "Maike Scherrer", "Joel Weingart" ], "first_author": "Maike Scherrer", "venue": "Zürcher Hochschule für Angewandte Wissenschaften digital collection (Zurich University of Applied Sciences)", "volume": null, "pages": null, "type": "article", "language": "en", "abstract": "The densification of urban settings will further increase in the near future. The already overcrowded roads will no longer be able to absorb the resulting increase in passenger and freight traffic, which will lead to additional congestion. The study at hand analysis if autonomous driving freight vehicles have the potential to defuse the situation. We analyse the effect of autonomous driving freight vehicles, which commute between a central warehouse and different city districts, where the freight is handed over to cargobikes for the very last mile. We compare this to traditional direct deliveries using vans and cargobikes. The analysis bases on a route planning and optimisation model, which is specifically adapted for the different vehicle categories and is tested with real data from Switzerland in two settings: First, in a small and a big city, and second, in the case where a central warehouse is close to the city centre compared to a central warehouse in the outskirt of a city. The results show that higher traffic reduction potential is given in bigger than in smaller cities and in cases where the central warehouse is in the outskirt of the city. The results can be used in several ways: First, the model can be used to conduct similar analyses in different urban settings. Second, the results can be used to decide about the modal mix for urban logistics and in which situations a change from traditional deliveries to deliveries with autonomous driving freight vehicles in combination with cargobikes is beneficial.", "keywords": [ "Modal", "Traffic management", "City logistics", "Warehouse", "Reduction (mathematics)", "Traffic planning" ], "cited_by_openalex": 0, "cited_by_scopus": 0, "eid": null, "pii": null, "open_access_url": "https://digitalcollection.zhaw.ch/handle/11475/34870", "sources": [ { "db": "openalex", "stream": "TRUCK", "query_id": "TRUCK-1" } ], "streams": [ "TRUCK" ], "relevance_signals": [ "TRUCK" ], "auto_exclude_reason": null, "screening_status": "pending_human_screening", "screened_by": "auto-v1.0.0" }, { "id": "doi:10.1016/j.apenergy.2025.126616", "doi": "10.1016/j.apenergy.2025.126616", "title": "Route-based time-dependent life cycle greenhouse gas and NOₓ emissions analysis of heavy-duty trucks", "year": 2025, "authors": [ "Arnav Sinha", "Yen Cheng Wang", "Harsh Sapra", "Saurabh K. Gupta", "Sage L Kokjohn", "Constandinos M. Mitsingas", "Chol-Bum Kweon" ], "first_author": "Arnav Sinha", "venue": "Applied Energy", "volume": "401", "pages": null, "type": "article", "language": "en", "abstract": null, "keywords": [ "Truck", "Heavy duty", "Greenhouse gas", "Environmental science", "Waste management", "Engineering", "Automotive engineering" ], "cited_by_openalex": 0, "cited_by_scopus": "0", "eid": "2-s2.0-105013661064", "pii": "S0306261925013467", "open_access_url": "https://doi.org/10.1016/j.apenergy.2025.126616", "sources": [ { "db": "openalex", "stream": "TRUCK", "query_id": "TRUCK-1" }, { "db": "scopus", "stream": "TRUCK", "query_id": "TRUCK-1" } ], "streams": [ "TRUCK" ], "relevance_signals": [ "TRUCK_NO_CTX" ], "auto_exclude_reason": "EC-4-topic", "screening_status": "auto_excluded", "screened_by": "auto-v1.0.0" }, { "id": "doi:10.1016/j.trpro.2025.12.108", "doi": "10.1016/j.trpro.2025.12.108", "title": "Strategies for Sustainable Urban Freight Transportation A Demand-Based Study of Noida, India", "year": 2025, "authors": [ "Shashank Soni", "Debapratim Pandit" ], "first_author": "Shashank Soni", "venue": "Transportation research procedia", "volume": "92", "pages": "153-153", "type": "article", "language": "en", "abstract": "Urban freight transportation directs towards economic resilience amid India’s rapid urban growth, yet it poses significant sustainability challenges, with freight accounting for 15-20% of the nation’s GDP with 63% of the movement occurring by road. To address these issues, the study investigates freight system of Noida, using a demand-based approach that enhances vehicle-usage efficiency across economic, environmental and social dimensions. The research assesses eight key operational efficiency parameters: trip frequency, fuel consumption, emissions, empty vehicle returns, ton–kilometres travelled, congestion delays, dwell times, and goods distribution across Traffic analysis zones defined by sector divisions and land use patterns. Moreover, to capture the diverse freight services ranging from low- value bulk to business–to-consumer deliveries, the research categorises vehicles into Goods Autos, Goods Vans, Light commercial trucks, and Multi–axle commercial trucks. The research methodology integrates secondary data: land use, road networks, vehicle registrations, demographics, with primary data collected from five survey instruments targeting key stakeholders, with GIS tools establishing spatial frameworks linking routing emissions to land-use relationships. The findings demonstrate spatial-temporal inefficiencies in freight movements and reveals key operator challenges. The study recommends a spatial temporal efficiency framework and sustainable policy strategies as time route restrictions, night time freight sharing, shared logistics platforms and green logistics practices, tailored for medium sized Indian cities. These findings offer practical, robust and evidence–based guidance aiming to improve urban freight efficiency and sustainability across similar urban contexts.", "keywords": [ "Sustainability", "Traffic management", "Key (lock)", "Sustainable transport", "Traffic congestion", "City logistics", "Land use", "Distribution (mathematics)" ], "cited_by_openalex": 0, "cited_by_scopus": "0", "eid": "2-s2.0-105027187636", "pii": "S2352146525009950", "open_access_url": "https://doi.org/10.1016/j.trpro.2025.12.108", "sources": [ { "db": "openalex", "stream": "TRUCK", "query_id": "TRUCK-1" }, { "db": "openalex", "stream": "TRUCK", "query_id": "TRUCK-2" }, { "db": "scopus", "stream": "TRUCK", "query_id": "TRUCK-1" }, { "db": "scopus", "stream": "TRUCK", "query_id": "TRUCK-2" } ], "streams": [ "TRUCK" ], "relevance_signals": [ "TRUCK" ], "auto_exclude_reason": null, "screening_status": "pending_human_screening", "screened_by": "auto-v1.0.0" }, { "id": "title:success factors for sustainable urban logistics hubs insights from best practice cases", "doi": null, "title": "Success factors for sustainable urban logistics hubs : insights from best-practice cases", "year": 2025, "authors": [ "Von Wieding, Sönke", "Doege, Patrick", "Thon, Fabio" ], "first_author": "Von Wieding, Sönke", "venue": "Zürcher Hochschule für Angewandte Wissenschaften digital collection (Zurich University of Applied Sciences)", "volume": null, "pages": null, "type": "article", "language": "en", "abstract": "Introduction: White-label urban logistics hubs—such as consolidation centers, transshipment hubs, and parcel lockers—shared by competing transport companies, are promoted as sustainable urban logistics solutions. However, many fail to remain viable without subsidies, with few sustaining operations in competitive markets. Despite being cited as best practices, evaluations of their success factors, such as operational scale, business models, and organization, are scarce. This paper addresses this gap by identifying key factors behind successful, market-sustained hubs. Method: We reviewed the literature to develop a typology categorizing urban logistics hubs by logistics activities, spatial footprint, catchment area, organizational form, and business model. Using a multiple case study approach, we selected best-practice hubs in each category and conducted expert interviews with operators, researchers, and public authorities involved in their implementation or evaluation. Results: Our analysis found no evidence of successful horizontal collaborations where transport companies share a hub for white-label deliveries, despite their frequent promotion as best practices. White-label operations were identified only in real estate- or receiver-led initiatives, where the hub functions as a designated delivery address. These setups often impose additional costs on real estate firms or receivers, which are sometimes offset by integrating recycling flows into the model. By contrast, we found several cases of individual transport companies using transshipment hubs (shared or private) for their own intermodal operations, employing light (electric) freight vehicles for last-mile delivery. While some hubs are provided free or subsidized, funded either by real estate companies benefiting from added tenant amenities or by public authorities aiming to reduce traffic and improve accessibility, financial support is not universally required for competitiveness. Successful hubs enhance their economic sustainability by generating additional revenue through services beyond core transshipment and consolidation, such as localized storage and consolidated deliveries for receivers, parking and small storage for carriers, and recycling collection.", "keywords": [ "Real estate", "Transshipment (information security)", "Consolidation (business)", "Success factors", "Competitive advantage", "Typology", "Promotion (chess)", "Operational efficiency", "Critical success factor" ], "cited_by_openalex": 0, "cited_by_scopus": 0, "eid": null, "pii": null, "open_access_url": "https://hdl.handle.net/11475/34587", "sources": [ { "db": "openalex", "stream": "TRUCK", "query_id": "TRUCK-1" } ], "streams": [ "TRUCK" ], "relevance_signals": [ "TRUCK" ], "auto_exclude_reason": null, "screening_status": "pending_human_screening", "screened_by": "auto-v1.0.0" }, { "id": "doi:10.1016/j.trip.2025.101750", "doi": "10.1016/j.trip.2025.101750", "title": "Assessing the impact of urban freight traffic restrictions on mobility and emissions: Evidence from Bogotá, Colombia", "year": 2025, "authors": [ "Cristiam Gil", "Gordon Wilmsmeier" ], "first_author": "Cristiam Gil", "venue": "Transportation Research Interdisciplinary Perspectives", "volume": "34", "pages": null, "type": "article", "language": "en", "abstract": "• Bogotá implemented Decree 840 of 2019 (modified by Decree 077 of 2020) to limit cargo vehicle circulation during peak hours to reduce congestion and emissions. The traffic restrictions were introduced as part of Bogotá’s broader efforts to improve urban mobility and environmental quality, aligning with global trends in freight transport regulation. • Post-policy implementation, motorcycle traffic surged by 41 %, while urban bus traffic declined by 35 %. While smaller (C2) cargo vehicles saw a 4 % decrease in traffic, larger trucks (C3 and ≥ C4) experienced increases of 1 % and 8 %, respectively. • The study found only a 3% reduction in emissions attributed to the decree, suggesting limited effectiveness in reducing pollution. Not all pollutants decreased equally—while some emissions improved due to better traffic flow, others increased due to shifts in vehicle usage patterns. • The COVID-19 pandemic influenced mobility patterns, making it difficult to isolate the direct effects of the decree. The decrease in buses and increase in motorcycles suggest a shift in urban mobility, possibly influenced by economic and social changes post-pandemic. • The study suggests that replacing outdated, high-emission vehicles with modern, cleaner alternatives is more effective than temporary traffic restrictions. The research suggests that static regulations may not be enough; dynamic and data-driven policies could yield better results. Fast-growing cities face rising congestion and air pollution, with freight transport essential for urban logistics but also a major contributor to these problems. Using primary data from multiple locations and time periods, this study evaluates the effects of freight-traffic restrictions by comparing conditions before and after implementation. The analysis focuses on Bogotá, Colombia, assessing the impacts of Decree 840 of 2019 and its amendment under Decree 077 of 2020, which restrict heavy vehicles during peak hours and add limits by vehicle age and geographic zone. A log–log linear regression model is used to analyse freight vehicle flow, paired with an emissions model based on vehicle type, fuel use, and emissions standards; this approach is adopted due to data limitations that preclude a difference-in-differences design. Results show measurable changes in freight traffic and emissions, highlighting both the effectiveness and the limitations of these measures. The findings contribute to urban freight management research and provide evidence to support policies aimed at improving air quality and mobility.", "keywords": [ "Truck", "Traffic congestion", "Modal shift", "Fuel efficiency", "Public transport", "Pedestrian", "Decree", "Yield (engineering)" ], "cited_by_openalex": 0, "cited_by_scopus": "0", "eid": "2-s2.0-105022816932", "pii": "S2590198225004294", "open_access_url": "https://doi.org/10.1016/j.trip.2025.101750", "sources": [ { "db": "openalex", "stream": "TRUCK", "query_id": "TRUCK-1" }, { "db": "scopus", "stream": "TRUCK", "query_id": "TRUCK-1" } ], "streams": [ "TRUCK" ], "relevance_signals": [ "TRUCK" ], "auto_exclude_reason": null, "screening_status": "pending_human_screening", "screened_by": "auto-v1.0.0" }, { "id": "doi:10.48550/arxiv.2502.08403", "doi": "10.48550/arxiv.2502.08403", "title": "Solving Large-Scale Two-Echelon Location Routing Problems in City Logistics", "year": 2025, "authors": [ "Banu Ulusoy Dereli", "Gerhard Hiermann", "Maximilian Schiffer" ], "first_author": "Banu Ulusoy Dereli", "venue": "arXiv (Cornell University)", "volume": null, "pages": null, "type": "preprint", "language": "en", "abstract": "Logistic service providers increasingly focus on two-echelon distribution systems to efficiently manage thousands of deliveries in urban environments. Effectively operating such systems requires designing cost-efficient delivery networks while addressing the challenges of increasing e-commerce demands. In this context, we focus on a two-echelon location routing problem with mobile depots and direct shipment, where decisions involve locating micro-depots, and designing first and second-level routes. Our model also incorporates the flexibility of direct shipments from the main depot to customers. To solve such large-scale problems efficiently, we propose a metaheuristic approach that integrates a set cover problem with an adaptive large neighborhood search (ALNS). Our ALNS approach generates a set of promising routes and micro-depot locations using destroy and repair operators while using a local search for intensification. We then utilize the set cover problem to find better network configurations. Additionally, we present a decomposition-based cluster-first, route-second approach to solve large-scale instances efficiently. We show the efficacy of our algorithm on well-known benchmark datasets and provide managerial insights based on a case study for the city of Munich. Our decomposition approach provides comparable results while reducing computational times by a factor of 15. Our case study results show that allowing direct shipment can reduce total costs by 4.7% and emissions by 11%, while increasing truck utilizations by 42%. We find that integrating both stationary and mobile micro-depots, along with allowing direct shipments, can reduce total costs by 5.9% compared to traditional two-echelon delivery structures.", "keywords": [ "Scale (ratio)", "Vehicle routing problem", "Routing (electronic design automation)", "Computer science", "Facility location problem", "Business", "Operations research", "Operations management", "Transport engineering", "Computer network", "Engineering", "Geography" ], "cited_by_openalex": 0, "cited_by_scopus": 0, "eid": null, "pii": null, "open_access_url": "https://arxiv.org/pdf/2502.08403", "sources": [ { "db": "openalex", "stream": "TRUCK", "query_id": "TRUCK-1" }, { "db": "openalex", "stream": "TRUCK", "query_id": "TRUCK-2" }, { "db": "openalex", "stream": "TRUCK", "query_id": "TRUCK-3" } ], "streams": [ "TRUCK" ], "relevance_signals": [ "TRUCK" ], "auto_exclude_reason": null, "screening_status": "pending_human_screening", "screened_by": "auto-v1.0.0" }, { "id": "doi:10.1139/cjce-2024-0369", "doi": "10.1139/cjce-2024-0369", "title": "Estimation of logit models for different types of freight in urban freight transport: a new discrete choice model group for Istanbul", "year": 2025, "authors": [ "Berna Aksoy", "Mustafa Gürsoy" ], "first_author": "Berna Aksoy", "venue": "Canadian Journal of Civil Engineering", "volume": "52", "pages": "1433-1450", "type": "article", "language": "en", "abstract": "Freight transportation plays a significant role in urban transport and contributes substantially to environmental issues due to the use of heavy vehicles. However, compared to passenger transport, decision-makers often overlook the impact of freight transport despite its contribution to congestion. The leading factors influencing the selection of freight vehicles include cost, freight size, and packaging characteristics. However, existing transportation studies mainly examine freight vehicle preferences at a general level, needing a comprehensive understanding of freight transportation. To address this gap, through the framework we propose in this study, we present a discrete modeling-based methodology to identify the factors that determine freight vehicle preferences for shipping and sender firms with the ultimate motivation of exploring the significant factors to ensure more efficient freight transportation. The presented framework is tested through a real-world case study conducted in Istanbul, Turkey, utilizing field surveys conducted by the Municipality within the context of a newly developed Logistics Master Plan for the city. Two of the four freight model structures created gave outputs highly accepted in the literature. Interestingly, the findings deviated from the existing literature, revealing that the choice of freight vehicles is influenced by different packaging variables depending on the freight type being transported.", "keywords": [ "Discrete choice", "Transport engineering", "Traffic management", "Logistic regression", "Logit", "Mixed logit", "Estimation", "Group (periodic table)", "Econometrics", "Nested logit", "Engineering", "Operations research" ], "cited_by_openalex": 0, "cited_by_scopus": "0", "eid": "2-s2.0-105018740746", "pii": null, "open_access_url": "https://doi.org/10.1139/cjce-2024-0369", "sources": [ { "db": "openalex", "stream": "TRUCK", "query_id": "TRUCK-1" }, { "db": "scopus", "stream": "TRUCK", "query_id": "TRUCK-1" } ], "streams": [ "TRUCK" ], "relevance_signals": [ "TRUCK" ], "auto_exclude_reason": null, "screening_status": "pending_human_screening", "screened_by": "auto-v1.0.0" }, { "id": "doi:10.15575/ks.v7i4.44374", "doi": "10.15575/ks.v7i4.44374", "title": "Designing Future Policy Scenarios for Sustainable Urban Freight Transport: Lessons from the Jakarta Greater Area", "year": 2025, "authors": [ "Reza Fathurrahman", "Syifa Amania Afra" ], "first_author": "Reza Fathurrahman", "venue": "Khazanah Sosial", "volume": null, "pages": null, "type": "article", "language": "id", "abstract": "As the center of economic growth and the hub of industries and trade in Indonesia, the issue of goods transportation development in the Jakarta Greater Area deserves higher priority, amongst academics, private sector leaders, and policymakers. Currently, freight trucking is the most widely used mode of goods transportation within the Jakarta greater area (91.3 percent), exceeding the other two alternative modes: sea (7.6 percent) and railway (1.1 percent) transportation. However, the movement of goods transported along the corridor is very congested, not environmentally friendly, and has a relatively small efficiency value and economies of scale. On the other hand, the train mode offers several advantages over the truck mode, including a large transport capacity, relatively fast travel times, freedom from illegal levies, and more guaranteed goods safety. This article employs a mixed-methods approach that combines documentary and SWOT Analysis to explore the current and prospective status of freight railways in the Jakarta region as perceived by key multiple stakeholders, including national and provincial governments, the private sector, academia, and civil society organizations. The results reveal vertical and horizontal disharmony among the responsible government units at both the national and provincial levels regarding the future direction of Jakarta's freight transport. Interestingly, during the FGD, the rational trucking business owners did not show any reluctance toward railway development, as it turned out that a more integrated, intermodal transportation is a better option for all. Finally, the DKI Jakarta Provincial Government needs to prioritize its resources to address the existing weaknesses and challenges before expanding further with a broader and more ambitious strategy.", "keywords": [ "SWOT analysis", "Government (linguistics)", "Truck", "Private sector", "Mode of transport", "Sustainable development", "Goods and services", "Value (mathematics)" ], "cited_by_openalex": 0, "cited_by_scopus": 0, "eid": null, "pii": null, "open_access_url": "https://khazanah.uinsgd.ac.id/index.php/ks/article/download/44374/15550", "sources": [ { "db": "openalex", "stream": "TRUCK", "query_id": "TRUCK-1" } ], "streams": [ "TRUCK" ], "relevance_signals": [ "TRUCK" ], "auto_exclude_reason": "EC-4", "screening_status": "auto_excluded", "screened_by": "auto-v1.0.0" }, { "id": "doi:10.1007/978-3-032-10126-6_17", "doi": "10.1007/978-3-032-10126-6_17", "title": "B2C and C2B Urban Freight Demand Modelling from Company Data: Methodology and Application to the City of Seville", "year": 2025, "authors": [ "Ana Pegado-Bardayo", "Jesús González-Feliu", "Jesús Muñuzuri", "Antonio Lorenzo-Espejo" ], "first_author": "Ana Pegado-Bardayo", "venue": "Lecture notes on data engineering and communications technologies", "volume": "276", "pages": "103-107", "type": "conference-paper", "language": "en", "abstract": null, "keywords": [ "Demand forecasting", "Commodity", "Demand management", "Key (lock)", "Regression analysis", "Estimation", "Trip generation" ], "cited_by_openalex": 0, "cited_by_scopus": "0", "eid": "2-s2.0-105026747578", "pii": null, "open_access_url": "https://doi.org/10.1007/978-3-032-10126-6_17", "sources": [ { "db": "openalex", "stream": "TRUCK", "query_id": "TRUCK-1" }, { "db": "openalex", "stream": "TRUCK", "query_id": "TRUCK-2" }, { "db": "scopus", "stream": "TRUCK", "query_id": "TRUCK-1" }, { "db": "scopus", "stream": "TRUCK", "query_id": "TRUCK-2" } ], "streams": [ "TRUCK" ], "relevance_signals": [ "NO_TECHNOLOGY_MATCH" ], "auto_exclude_reason": "EC-4-topic", "screening_status": "auto_excluded", "screened_by": "auto-v1.0.0" }, { "id": "doi:10.3846/transport.2025.22872", "doi": "10.3846/transport.2025.22872", "title": "Location of urban logistics distribution centers considering cargo transportation services of a public transportation system", "year": 2025, "authors": [ "Qian Wang", "Jianfeng Zheng", "Huibin Liu", "Yao Wang", "Xia Li" ], "first_author": "Qian Wang", "venue": "Transport", "volume": "40", "pages": "310-326", "type": "article", "language": "en", "abstract": "Urban logistics distribution accounts for a large proportion of CO2 emissions generated by urban transportation. Reducing CO2 emissions in the process of logistics distribution is one of the urgent urban problems to be solved. This article investigates the location of urban logistics distribution centers considering cargo transportation services of a public transportation system. Considering one or several bus lines for representing a public transportation system, several collaborative distribution scenarios are studied, and 2 mixed integer linear programming models are established to explore the impact of the public transportation system on the location of distribution centers in urban logistics. Numerical experiments show the influence of different bus lines on the location of distribution centers, collaborative distribution and truck carbon emissions in Dalian (China). In any case, the possibility of establishing distribution centers in blocks 5 and 42 of Dalian is very high. When bus lines are used, the highest bus line utilization can reach 47.83%, and the CO2 emission can be reduced by up to 36.3%. In terms of different bus lines, line 2002 is more suitable to participate in the collaborative distribution in Dalian compared with other bus lines. First published online 2 February 2026", "keywords": [ "Public transport", "Distribution (mathematics)", "Truck", "City logistics", "Line (geometry)", "Process (computing)" ], "cited_by_openalex": 0, "cited_by_scopus": "0", "eid": "2-s2.0-105029589789", "pii": null, "open_access_url": "https://journals.vilniustech.lt/index.php/Transport/article/download/22872/13282", "sources": [ { "db": "openalex", "stream": "TRUCK", "query_id": "TRUCK-1" }, { "db": "scopus", "stream": "TRUCK", "query_id": "TRUCK-1" } ], "streams": [ "TRUCK" ], "relevance_signals": [ "TRUCK" ], "auto_exclude_reason": null, "screening_status": "pending_human_screening", "screened_by": "auto-v1.0.0" }, { "id": "doi:10.1016/j.trpro.2025.12.118", "doi": "10.1016/j.trpro.2025.12.118", "title": "A simulation-based optimization of layby spot allocation for freight vehicles using spatial, temporal, and durational deferment strategies in a multi-objective framework", "year": 2025, "authors": [ "Swaraj Bose", "Debapratim Pandit" ], "first_author": "Swaraj Bose", "venue": "Transportation research procedia", "volume": "92", "pages": "204-204", "type": "article", "language": "en", "abstract": "Loading-unloading of goods by freight vehicles in designated layby spots along commercial stretches are vital to urban logistics. Limited availability of these spots leads to various urban externalities and escalates logistics costs, necessitating the efficient management for optimized usage of layby spots. This paper addresses the challenge of optimizing layby spot allocation for freight vehicles, incorporating spatial, temporal, and durational deferment strategies to manage high demand and limited resources. The model is formulated as a multi-objective optimization problem. The optimization function seeks to balance three objectives: (1) maximizing layby spot utilization, (2) minimizing the loss function associated with deferment, comprising opportunity costs due to loading-unloading time deferment, spatial deferment, and loading-unloading activity duration reduction, and (3) minimizing the percentage of unallocated requests. The constraints ensure feasible allocations within acceptable limits for time, spatial distance, and activity duration. Using a microsimulation model to generate layby spot booking requests, this study considers a setting with 30 commercial establishments and 10 layby spots. Data gathered from establishment-based freight surveys and interviews with transport operators from Bara bazar area in Kolkata inform the loss function across deferment types. NSGA-II is used to determine pareto-optimal allocations under various deferment scenarios. Results indicate that deferment strategies significantly reduce total fiscal losses, optimize layby spot utilization, and lower the rate of unallocated requests. These findings highlight the efficacy of deferment-based optimization for improving urban freight logistics by maximizing the efficiency of layby spot usage in constrained urban environments.", "keywords": [ "Function (biology)", "Travel time", "Externality", "Duration (music)", "Total cost", "Optimal allocation" ], "cited_by_openalex": 0, "cited_by_scopus": "0", "eid": "2-s2.0-105027123876", "pii": "S2352146525010051", "open_access_url": "https://doi.org/10.1016/j.trpro.2025.12.118", "sources": [ { "db": "openalex", "stream": "TRUCK", "query_id": "TRUCK-1" }, { "db": "scopus", "stream": "TRUCK", "query_id": "TRUCK-1" } ], "streams": [ "TRUCK" ], "relevance_signals": [ "TRUCK" ], "auto_exclude_reason": null, "screening_status": "pending_human_screening", "screened_by": "auto-v1.0.0" }, { "id": "doi:10.5281/zenodo.21678409", "doi": "10.5281/zenodo.21678409", "title": "BUILDING A SUSTAINABLE FUTURE BY DEVELOPING THE CONCEPT OF DOUBLE DIAMOND IN TRIPLE DIAMOND, A NEW CONCEPT IN CREATING A NUDGE TOWARDS PRO-ELECTRIFICATION BEHAVIOR IN URBAN FREIGHT TRANSPORT", "year": 2025, "authors": [ "Irina Calotă", "Alexandra Perju-Mitran", "Augustin Semenescu" ], "first_author": "Irina Calotă", "venue": "Zenodo (CERN European Organization for Nuclear Research)", "volume": null, "pages": null, "type": "article", "language": "en", "abstract": "In the present economic setting, road freight transportation accounts for 77% of the total products moved by land inside the European Union. However, it is undeniable that, from a certain perspective Historically, vehicles were detrimental to the environment. The freight transport sector accounts for one-fourth of greenhouse gas emissions from road transport and roughly 6% of overall greenhouse gas emissions in Europe. Consequently, the vehicle electrical industry is poised for growth in Europe in the future. Electrification is a growing trend driven by the necessity to reduce carbon emissions, enhance air quality, and ensure compliance. Regulations governing urban emissions are stringent. These policies are contextualized within the European Union's target of achieving \"a reduction of at least 55% of greenhouse gas emissions by 2030 and climate neutrality by 2050,\" as outlined in the European Green Deal. The Truck E-mobility concept in urban agglomerations pertains to the use of electric vehicles, both high and small tonnage, for freight transportation in urban settings. This movement is driven by the necessity to mitigate pollution, enhance logistical efficiency, and comply with stringent regulations in densely populated urban areas .To promote sustainable development, we propose the saddle transformer within the framework of a novel Diamond idea based on the Double Diamond model. The first offers a strategic design framework applicable to innovation processes and issue-solving. The Triple Diamond is a novel idea that effectively provides a strategic framework for implementing solutions in problem resolution.", "keywords": [ "Urban agglomeration", "Greenhouse gas", "Electrification", "Truck", "Sustainable transport", "Carbon neutrality", "Green growth", "Sustainable development", "Carbon footprint" ], "cited_by_openalex": 0, "cited_by_scopus": 0, "eid": null, "pii": null, "open_access_url": "https://doi.org/10.5281/zenodo.21678409", "sources": [ { "db": "openalex", "stream": "TRUCK", "query_id": "TRUCK-1" } ], "streams": [ "TRUCK" ], "relevance_signals": [ "TRUCK" ], "auto_exclude_reason": null, "screening_status": "pending_human_screening", "screened_by": "auto-v1.0.0" }, { "id": "doi:10.5281/zenodo.21681972", "doi": "10.5281/zenodo.21681972", "title": "BUILDING A SUSTAINABLE FUTURE BY DEVELOPING THE CONCEPT OF DOUBLE DIAMOND IN TRIPLE DIAMOND, A NEW CONCEPT IN CREATING A NUDGE TOWARDS PRO-ELECTRIFICATION BEHAVIOR IN URBAN FREIGHT TRANSPORT", "year": 2025, "authors": [ "Irina Calotă", "Alexandra Perju-Mitran", "Augustin Semenescu" ], "first_author": "Irina Calotă", "venue": null, "volume": null, "pages": null, "type": "article", "language": "en", "abstract": "In the present economic setting, road freight transportation accounts for 77% of the total products moved by land inside the European Union. However, it is undeniable that, from a certain perspective Historically, vehicles were detrimental to the environment. The freight transport sector accounts for one-fourth of greenhouse gas emissions from road transport and roughly 6% of overall greenhouse gas emissions in Europe. Consequently, the vehicle electrical industry is poised for growth in Europe in the future. Electrification is a growing trend driven by the necessity to reduce carbon emissions, enhance air quality, and ensure compliance. Regulations governing urban emissions are stringent. These policies are contextualized within the European Union's target of achieving \"a reduction of at least 55% of greenhouse gas emissions by 2030 and climate neutrality by 2050,\" as outlined in the European Green Deal. The Truck E-mobility concept in urban agglomerations pertains to the use of electric vehicles, both high and small tonnage, for freight transportation in urban settings. This movement is driven by the necessity to mitigate pollution, enhance logistical efficiency, and comply with stringent regulations in densely populated urban areas .To promote sustainable development, we propose the saddle transformer within the framework of a novel Diamond idea based on the Double Diamond model. The first offers a strategic design framework applicable to innovation processes and issue-solving. The Triple Diamond is a novel idea that effectively provides a strategic framework for implementing solutions in problem resolution.", "keywords": [ "Urban agglomeration", "Greenhouse gas", "Electrification", "Truck", "Sustainable transport", "Carbon neutrality", "Green growth", "Sustainable development", "Carbon footprint" ], "cited_by_openalex": 0, "cited_by_scopus": 0, "eid": null, "pii": null, "open_access_url": "http://www.rebe.rau.ro/RePEc/rau/jisomg/SU25/JISOM-SU25-A02.pdf", "sources": [ { "db": "openalex", "stream": "TRUCK", "query_id": "TRUCK-1" } ], "streams": [ "TRUCK" ], "relevance_signals": [ "TRUCK" ], "auto_exclude_reason": null, "screening_status": "pending_human_screening", "screened_by": "auto-v1.0.0" }, { "id": "doi:10.5281/zenodo.21681973", "doi": "10.5281/zenodo.21681973", "title": "BUILDING A SUSTAINABLE FUTURE BY DEVELOPING THE CONCEPT OF DOUBLE DIAMOND IN TRIPLE DIAMOND, A NEW CONCEPT IN CREATING A NUDGE TOWARDS PRO-ELECTRIFICATION BEHAVIOR IN URBAN FREIGHT TRANSPORT", "year": 2025, "authors": [ "Irina Calotă", "Alexandra Perju-Mitran", "Augustin Semenescu" ], "first_author": "Irina Calotă", "venue": "Zenodo (CERN European Organization for Nuclear Research)", "volume": null, "pages": null, "type": "article", "language": "en", "abstract": "In the present economic setting, road freight transportation accounts for 77% of the total products moved by land inside the European Union. However, it is undeniable that, from a certain perspective Historically, vehicles were detrimental to the environment. The freight transport sector accounts for one-fourth of greenhouse gas emissions from road transport and roughly 6% of overall greenhouse gas emissions in Europe. Consequently, the vehicle electrical industry is poised for growth in Europe in the future. Electrification is a growing trend driven by the necessity to reduce carbon emissions, enhance air quality, and ensure compliance. Regulations governing urban emissions are stringent. These policies are contextualized within the European Union's target of achieving \"a reduction of at least 55% of greenhouse gas emissions by 2030 and climate neutrality by 2050,\" as outlined in the European Green Deal. The Truck E-mobility concept in urban agglomerations pertains to the use of electric vehicles, both high and small tonnage, for freight transportation in urban settings. This movement is driven by the necessity to mitigate pollution, enhance logistical efficiency, and comply with stringent regulations in densely populated urban areas .To promote sustainable development, we propose the saddle transformer within the framework of a novel Diamond idea based on the Double Diamond model. The first offers a strategic design framework applicable to innovation processes and issue-solving. The Triple Diamond is a novel idea that effectively provides a strategic framework for implementing solutions in problem resolution.", "keywords": [ "Urban agglomeration", "Greenhouse gas", "Electrification", "Truck", "Sustainable transport", "Carbon neutrality", "Green growth", "Sustainable development", "Carbon footprint" ], "cited_by_openalex": 0, "cited_by_scopus": 0, "eid": null, "pii": null, "open_access_url": "https://doi.org/10.5281/zenodo.21681973", "sources": [ { "db": "openalex", "stream": "TRUCK", "query_id": "TRUCK-1" } ], "streams": [ "TRUCK" ], "relevance_signals": [ "TRUCK" ], "auto_exclude_reason": null, "screening_status": "pending_human_screening", "screened_by": "auto-v1.0.0" }, { "id": "doi:10.1007/978-3-032-02106-9_78", "doi": "10.1007/978-3-032-02106-9_78", "title": "CODEL: Collaborative Multi-robot Parcel Delivery for Last-Mile Logistics", "year": 2025, "authors": [ "Sumbal Malik", "Majid Khonji", "Khaled Elbassioni", "Jorge M.M. Dias" ], "first_author": "Sumbal Malik", "venue": "Mechanisms and machine science", "volume": "190", "pages": "706-714", "type": "conference-paper", "language": "en", "abstract": null, "keywords": [ "Last mile (transportation)", "Mile", "Robot", "Computer science", "Transport engineering", "Engineering", "Geography", "Artificial intelligence" ], "cited_by_openalex": 0, "cited_by_scopus": "0", "eid": "2-s2.0-105016233151", "pii": null, "open_access_url": "https://doi.org/10.1007/978-3-032-02106-9_78", "sources": [ { "db": "openalex", "stream": "TRUCK", "query_id": "TRUCK-1" }, { "db": "openalex", "stream": "UAV", "query_id": "UAV-1" }, { "db": "openalex", "stream": "UAV", "query_id": "UAV-2" }, { "db": "scopus", "stream": "TRUCK", "query_id": "TRUCK-1" }, { "db": "scopus", "stream": "UAV", "query_id": "UAV-1" }, { "db": "scopus", "stream": "UAV", "query_id": "UAV-2" } ], "streams": [ "TRUCK", "UAV" ], "relevance_signals": [ "NO_TECHNOLOGY_MATCH" ], "auto_exclude_reason": "EC-4-topic", "screening_status": "auto_excluded", "screened_by": "auto-v1.0.0" }, { "id": "doi:10.1109/temscon-aspac65329.2025.11512185", "doi": "10.1109/temscon-aspac65329.2025.11512185", "title": "Solving a Bi-Objective Two-Echelon Vehicle Routing Problem with Drones Using a Hybrid K-Means and NSGA-II Algorithm", "year": 2025, "authors": [ "Santoso Santoso", "Nurhadi Siswanto", "Ir. Budi Santosa", "Budisantoso Wirjodirdjo" ], "first_author": "Santoso Santoso", "venue": "Temscon Aspac 2025 4th IEEE Technology and Engineering Management Conference Asia Pacific", "volume": null, "pages": null, "type": "conference-paper", "language": null, "abstract": "Recent technological advances and COVID-19 pandemic have shifted consumer behavior from direct shopping to online shopping. This shift has led to a significant increase in package delivery volumes, resulting in negative impacts such as higher CO2emissions in urban areas. The advancement of drone technology has introduced a promising alternative for last-mile delivery through a joint method involving both drones and trucks. This study addresses the two-echelon vehicle routing problem with drones (2E VRP-D), adopting a bi-objective approach: minimizing both the total arrival time of trucks at the depot and the CO2emissions produced. A metaheuristic approach is employed to handle large problem instances. Initial solutions are generated by clustering customers based on their locations using the k-means algorithm. Subsequently, the Non-Dominated Sorting Genetic Algorithm II (NSGA-II) is applied to solve the bi-objective optimization problem, as no single solution can simultaneously optimize all objectives in such cases. The innovative use of truck-drone collaboration has the potential to significantly enhance the efficiency of last-mile delivery operations.", "keywords": [ "Drone", "Vehicle routing problem", "Routing (electronic design automation)", "Hybrid algorithm (constraint satisfaction)", "Key (lock)" ], "cited_by_openalex": 0, "cited_by_scopus": "0", "eid": "2-s2.0-105041610811", "pii": null, "open_access_url": "https://doi.org/10.1109/temscon-aspac65329.2025.11512185", "sources": [ { "db": "openalex", "stream": "TRUCK", "query_id": "TRUCK-1" }, { "db": "openalex", "stream": "TRUCK", "query_id": "TRUCK-3" }, { "db": "openalex", "stream": "UAV", "query_id": "UAV-1" }, { "db": "openalex", "stream": "UAV", "query_id": "UAV-2" }, { "db": "scopus", "stream": "TRUCK", "query_id": "TRUCK-1" }, { "db": "scopus", "stream": "TRUCK", "query_id": "TRUCK-3" }, { "db": "scopus", "stream": "UAV", "query_id": "UAV-1" }, { "db": "scopus", "stream": "UAV", "query_id": "UAV-2" } ], "streams": [ "TRUCK", "UAV" ], "relevance_signals": [ "UAV", "TRUCK" ], "auto_exclude_reason": null, "screening_status": "pending_human_screening", "screened_by": "auto-v1.0.0" }, { "id": "doi:10.52783/jisem.v10i48s.10105", "doi": "10.52783/jisem.v10i48s.10105", "title": "\"Solving the Traveling Salesman Problem with Drones Using Proximal Policy Optimization and Deep Reinforcement Learning\"", "year": 2025, "authors": [ "Ali Abdul Razzaq Taresh" ], "first_author": "Ali Abdul Razzaq Taresh", "venue": "Journal of Information Systems Engineering & Management", "volume": null, "pages": null, "type": "article", "language": "en", "abstract": "The increasing demand for scalable and efficient last-mile delivery has prompted the integration of drones with trucks in hybrid logistics systems. While reinforcement learning (RL) methods have shown promise in addressing the Traveling Salesman Problem with Drones (TSP-D), most approaches focus on single truck-drone coordination, limiting their real-world applicability. This paper introduces a novel multi-agent reinforcement learning (MARL) framework based on Proximal Policy Optimization (PPO) to address a multi-truck multi-drone TSP-D scenario. Each agent (truck or drone) learns a decentralized policy with a shared global reward, enabling real-time, cooperative route planning. An enhanced state representation captures vehicle positions, battery constraints, and inter-agent interactions. The actor-critic network employs deep residual layers and agent identity encoding to support dynamic adaptation and coordination. A Dijkstra-based module ensures drone reachability under energy constraints, while a task allocation mechanism balances delivery loads and prevents conflicts. Experiments on synthetic and real-world-inspired datasets demonstrate the proposed model’s superiority over single-agent PPO and classical metaheuristics in terms of delivery time, energy efficiency, and scalability. As the number of agents and delivery nodes grows, the system maintains high performance, demonstrating strong potential for real-time autonomous logistics in urban environments.", "keywords": [ "Travelling salesman problem", "Reinforcement learning", "Drone", "Artificial intelligence", "Computer science", "Mathematical optimization", "Reinforcement", "2-opt", "Mathematics", "Psychology", "Biology", "Social psychology" ], "cited_by_openalex": 0, "cited_by_scopus": 0, "eid": null, "pii": null, "open_access_url": "https://jisem-journal.com/index.php/journal/article/download/10105/4645", "sources": [ { "db": "openalex", "stream": "TRUCK", "query_id": "TRUCK-1" }, { "db": "openalex", "stream": "UAV", "query_id": "UAV-1" } ], "streams": [ "TRUCK", "UAV" ], "relevance_signals": [ "UAV", "TRUCK" ], "auto_exclude_reason": null, "screening_status": "pending_human_screening", "screened_by": "auto-v1.0.0" }, { "id": "doi:10.4018/979-8-3373-2240-7.ch013", "doi": "10.4018/979-8-3373-2240-7.ch013", "title": "Ethical and Legal Dimensions of Drones and Robots in Smart Business", "year": 2025, "authors": [ "Ananya Pandey", "Jipson Joseph" ], "first_author": "Ananya Pandey", "venue": "Navigating Technological Advancement in the Vuca and Bani World", "volume": null, "pages": "259-286", "type": "book-chapter", "language": "ng", "abstract": "Use of drones and robots are slowly but surely making their way into people's personal and professional lives. International companies are spending millions of dollars on drone research and development for logistics. Companies like Google, Amazon, DHL, and Walmart are actively experimenting on autonomous systems and robotics. Drones and robots are used in the business strategies of these organizations to ensure last-mile delivery, which involves transporting packages straight from a depot to the ultimate customer, maintaining inventory, loading and unloading of trucks, order processing, and the like. But the usage of these advancements poses some critical ethical and legal issues. Authorities must pay attention to these challenges and difficulties in order to ensure their meaningful usage. This chapter, in this perspective, overviews the most significant legal and ethical concerns pertaining to the use of autonomous vehicles in smart businesses and logistics and provides recommendations for their effective utilization in future.", "keywords": [ "Drone", "Order (exchange)", "Robot", "Ethical issues", "Agency (philosophy)" ], "cited_by_openalex": 0, "cited_by_scopus": "0", "eid": "2-s2.0-105027358572", "pii": null, "open_access_url": "https://doi.org/10.4018/979-8-3373-2240-7.ch013", "sources": [ { "db": "openalex", "stream": "TRUCK", "query_id": "TRUCK-1" }, { "db": "openalex", "stream": "TRUCK", "query_id": "TRUCK-3" }, { "db": "openalex", "stream": "UAV", "query_id": "UAV-1" }, { "db": "scopus", "stream": "TRUCK", "query_id": "TRUCK-1" }, { "db": "scopus", "stream": "TRUCK", "query_id": "TRUCK-3" }, { "db": "scopus", "stream": "UAV", "query_id": "UAV-1" } ], "streams": [ "TRUCK", "UAV" ], "relevance_signals": [ "UAV", "TRUCK" ], "auto_exclude_reason": "EC-4", "screening_status": "auto_excluded", "screened_by": "auto-v1.0.0" }, { "id": "doi:10.1080/21680566.2025.2571709", "doi": "10.1080/21680566.2025.2571709", "title": "Evaluation of environmental and operational impacts of a delivery system with parcel lockers", "year": 2025, "authors": [ "Pasquale Carotenuto", "Riccardo Ceccato", "Massimiliano Gastaldi", "Stefano Giordani", "Riccardo Rossi", "Alessio Salvatore" ], "first_author": "Pasquale Carotenuto", "venue": "Transportmetrica B Transport Dynamics", "volume": "13", "pages": null, "type": "article", "language": "en", "abstract": "Many local authorities have enforced vehicle access restrictions to improve air quality and liveability in urban areas, prompting changes in last-mile delivery to increase the sustainability of the system. This paper aims to quantify the environmental and operational efficiency of a delivery system with parcel lockers. We consider a company operating in the Municipality of Padova (Italy), with an heterogeneous fleet and a given subset of lockers. The lockers' demand is estimated, and a traffic simulation model is implemented to evaluate the traffic conditions in the road network. Pollutant emissions generated by freight vehicles were quantified. The distribution problem is modelled as a vehicle routing problem with or without split delivery. Multiple scenarios are tested, considering the quantitative and spatial changes in the lockers to be served. The results show that the split delivery system decreases the generalised cost for the company and the CO2 emissions.", "keywords": [ "Sustainability", "Vehicle routing problem", "Delivery system", "Routing (electronic design automation)", "Operational efficiency", "Operational costs", "Quality (philosophy)" ], "cited_by_openalex": 0, "cited_by_scopus": "0", "eid": "2-s2.0-105021120781", "pii": null, "open_access_url": "https://doi.org/10.1080/21680566.2025.2571709", "sources": [ { "db": "openalex", "stream": "TRUCK", "query_id": "TRUCK-1" }, { "db": "scopus", "stream": "TRUCK", "query_id": "TRUCK-1" }, { "db": "scopus", "stream": "TRUCK", "query_id": "TRUCK-2" } ], "streams": [ "TRUCK" ], "relevance_signals": [ "TRUCK" ], "auto_exclude_reason": null, "screening_status": "pending_human_screening", "screened_by": "auto-v1.0.0" }, { "id": "doi:10.2139/ssrn.5252367", "doi": "10.2139/ssrn.5252367", "title": "Simulation-Based Validation of Delivery Drone Energy Consumption", "year": 2025, "authors": [ "SungHyuk Choi" ], "first_author": "SungHyuk Choi", "venue": "SSRN Electronic Journal", "volume": null, "pages": null, "type": "preprint", "language": "en", "abstract": null, "keywords": [ "Drone", "Energy consumption", "Computer science", "Consumption (sociology)", "Energy (signal processing)", "Engineering", "Statistics", "Mathematics", "Electrical engineering", "Sociology" ], "cited_by_openalex": 0, "cited_by_scopus": 0, "eid": null, "pii": null, "open_access_url": "https://doi.org/10.2139/ssrn.5252367", "sources": [ { "db": "openalex", "stream": "TRUCK", "query_id": "TRUCK-1" }, { "db": "openalex", "stream": "TRUCK", "query_id": "TRUCK-3" }, { "db": "openalex", "stream": "UAV", "query_id": "UAV-1" } ], "streams": [ "TRUCK", "UAV" ], "relevance_signals": [ "UAV_NO_CTX" ], "auto_exclude_reason": "EC-4-topic", "screening_status": "auto_excluded", "screened_by": "auto-v1.0.0" }, { "id": "doi:10.2139/ssrn.5094253", "doi": "10.2139/ssrn.5094253", "title": "Operational Cost Optimization of Robot-Assisted Electric Delivery Fleets Using Geographic Information System", "year": 2025, "authors": [ "Hyunjin Ahn", "Huihai Wang", "Ji Hwan Park", "Hyosup Shin", "Junfeng Jiao", "Junmin Wang" ], "first_author": "Hyunjin Ahn", "venue": "SSRN Electronic Journal", "volume": null, "pages": null, "type": "preprint", "language": "en", "abstract": null, "keywords": [ "Geographic information system", "Truck", "Adaptability", "Software deployment", "Last mile (transportation)", "Computer science", "Robot", "Vehicle routing problem", "Transport engineering", "Routing (electronic design automation)", "Engineering", "Mile" ], "cited_by_openalex": 0, "cited_by_scopus": 0, "eid": null, "pii": null, "open_access_url": "https://doi.org/10.2139/ssrn.5094253", "sources": [ { "db": "openalex", "stream": "TRUCK", "query_id": "TRUCK-1" } ], "streams": [ "TRUCK" ], "relevance_signals": [ "TRUCK" ], "auto_exclude_reason": null, "screening_status": "pending_human_screening", "screened_by": "auto-v1.0.0" }, { "id": "doi:10.1109/itsc60802.2025.11423254", "doi": "10.1109/itsc60802.2025.11423254", "title": "Real-World Impacts of the Parallel Scheduling Vehicle Routing Problem in Rural Environments", "year": 2025, "authors": [ "John Squires", "Marcella Kaplan", "Kevin P. Heaslip" ], "first_author": "John Squires", "venue": "IEEE Conference on Intelligent Transportation Systems Proceedings ITSC", "volume": null, "pages": "2987-2994", "type": "conference-paper", "language": null, "abstract": "The last-mile delivery problem in rural areas faces higher costs and environmental impacts than in urban areas. In this study, the performance of the Parallel Scheduling Vehicle Routing Problem (PSVRP)—an advanced delivery routing system utilizing electric vans, autonomous delivery vehicles, drones, and truck-drone combinations—is studied in rural settings. To analyze real-world potential, the PSVRP is modeled in real-world rural scenarios, comparing cost and emissions with traditional diesel fleets. Additionally, synthetic customer-location models (uniform and clustered) are assessed on how well they approximate real-world instances. Using minimal fleet sizes, the PSVRP was found to reduce real-world costs by$50 - 58 \\%$and emissions by$39 - 46\\%$compared to diesel fleets. The uniform distribution adequately approximated modeled real-world costs (within$6-8 \\%$), whereas clustered distributions consistently underestimated costs and emissions. This study demonstrates the PSVRP's economic and environmental benefits in rural settings and highlights the ability of uniformly distributed theoretical scenarios to approximate real-world conditions.", "keywords": [ "Scheduling (production processes)", "Vehicle routing problem", "Job shop scheduling", "Routing (electronic design automation)" ], "cited_by_openalex": 0, "cited_by_scopus": "0", "eid": "2-s2.0-105037010402", "pii": null, "open_access_url": "https://doi.org/10.1109/itsc60802.2025.11423254", "sources": [ { "db": "openalex", "stream": "TRUCK", "query_id": "TRUCK-1" }, { "db": "openalex", "stream": "UAV", "query_id": "UAV-2" }, { "db": "scopus", "stream": "TRUCK", "query_id": "TRUCK-1" }, { "db": "scopus", "stream": "UAV", "query_id": "UAV-1" }, { "db": "scopus", "stream": "UAV", "query_id": "UAV-2" } ], "streams": [ "TRUCK", "UAV" ], "relevance_signals": [ "UAV", "TRUCK" ], "auto_exclude_reason": null, "screening_status": "pending_human_screening", "screened_by": "auto-v1.0.0" }, { "id": "doi:10.71548/22626", "doi": "10.71548/22626", "title": "Optimizing Drone-Enabled Logistics: Mathematical Models for Regulatory-Constrained Delivery in Urban and Rural Environments", "year": 2025, "authors": [ "Shamik Pushkar" ], "first_author": "Shamik Pushkar", "venue": "MacSphere (McMaster University)", "volume": null, "pages": null, "type": "dissertation", "language": "en", "abstract": "The integration of drones into last-mile delivery systems has garnered significant attention across sectors such as e-commerce, healthcare, and emergency logistics. Despite technological advancements and industry investment, widespread adoption remains limited due to regulatory, financial, and operational challenges. This thesis investigates the feasibility and efficiency of drone-assisted delivery under real-world constraints, with a particular focus on regulatory frameworks. Three mathematical models are developed. The first evaluates the impact of no-fly zones and flight distance restrictions on coordinated truck-drone delivery. The second introduces a hybrid logistics model incorporating droneports to facilitate delivery in urban areas with zoning laws. The third addresses a rural healthcare application, proposing a synchronized delivery and scheduling model for livestock vaccine administration, balancing workload among veterinarians. Each model is formulated as a Mixed Integer Linear Program (MILP), with computational experiments validating their performance. Heuristic and matheuristic algorithms are proposed to solve large-scale instances. Results demonstrate that while drones can enhance delivery efficiency and equity, their benefits are significantly influenced by regulatory severity and operational design.", "keywords": [ "Scheduling (production processes)", "Drone", "Heuristic", "Workload", "Mathematical model", "Integer programming" ], "cited_by_openalex": 0, "cited_by_scopus": 0, "eid": null, "pii": null, "open_access_url": "https://doi.org/10.71548/22626", "sources": [ { "db": "openalex", "stream": "TRUCK", "query_id": "TRUCK-1" }, { "db": "openalex", "stream": "TRUCK", "query_id": "TRUCK-1" }, { "db": "openalex", "stream": "UAV", "query_id": "UAV-1" }, { "db": "openalex", "stream": "UAV", "query_id": "UAV-1" } ], "streams": [ "TRUCK", "UAV" ], "relevance_signals": [ "UAV", "TRUCK" ], "auto_exclude_reason": null, "screening_status": "pending_human_screening", "screened_by": "auto-v1.0.0" }, { "id": "doi:10.5281/zenodo.18682969", "doi": "10.5281/zenodo.18682969", "title": "URBAN TRANSPORT AND RADICAL GEOGRAPHY: RECONFIGURING BERLIN'S LOGISTICS IN THE GLOBAL CAPITALIST SYSTEM", "year": 2025, "authors": [ "Nathaniel James Rowland" ], "first_author": "Nathaniel James Rowland", "venue": "Zenodo (CERN European Organization for Nuclear Research)", "volume": null, "pages": null, "type": "article", "language": "en", "abstract": "Highways are vital to global supply chains, enabling the dominant form of circulating goods inland by truck. Within critical economic geography and related disciplines, however, insufficient attention has been placed on developing a radical highway geography that positions highways within the evolving relationships between global capital, state scales and the labour of moving goods. I fill this silence by applying a historical-geographical materialist lens to Germany’s most congested, costly, and controversial highway – Berlin’s intercity A100 – to explore the entanglements of highways, labour power and the capitalist state within the socio-spatial and temporal dynamics of global capitalism. By following the A100 from the 1950s to the proposed completion of its contentious 16th extension in 2025, I argue that the 16th construction phase is the outcome of continual attempts by the capitalist state – at various scales of intervention – to annihilate space through time. These time–space compressions, which are incomplete, contradictory and contested, facilitate the circulation of commodities – understood here as urban freight and labour power – across space more rapidly and at lower cost, leading not only to a remaking of city logistics but also in the embodied labour of truck drivers, whose working lives increasingly reflect the pressures of accelerated circulation", "keywords": [ "Circulation (fluid dynamics)", "State (computer science)", "Power (physics)", "Space (punctuation)", "Commodification", "Materialism", "Intervention (counseling)", "Boom", "Embodied cognition" ], "cited_by_openalex": 0, "cited_by_scopus": 0, "eid": null, "pii": null, "open_access_url": "https://doi.org/10.5281/zenodo.18682969", "sources": [ { "db": "openalex", "stream": "TRUCK", "query_id": "TRUCK-1" } ], "streams": [ "TRUCK" ], "relevance_signals": [ "TRUCK" ], "auto_exclude_reason": null, "screening_status": "pending_human_screening", "screened_by": "auto-v1.0.0" }, { "id": "doi:10.2139/ssrn.5280117", "doi": "10.2139/ssrn.5280117", "title": "Air Pollution Impacts from Freight Trip Generation on Urban Neighborhoods", "year": 2025, "authors": [ "Diana Gineth Ramirez-Rios", "Lily MacIver", "Genesis Moran-Gonzalez", "Ángelo Joseph Soto Vergel" ], "first_author": "Diana Gineth Ramirez-Rios", "venue": "SSRN Electronic Journal", "volume": null, "pages": null, "type": "preprint", "language": "en", "abstract": null, "keywords": [ "Air pollution", "Transport engineering", "Environmental planning", "Pollution", "Environmental science", "Business", "Geography", "Engineering" ], "cited_by_openalex": 0, "cited_by_scopus": 0, "eid": null, "pii": null, "open_access_url": "https://doi.org/10.2139/ssrn.5280117", "sources": [ { "db": "openalex", "stream": "TRUCK", "query_id": "TRUCK-1" }, { "db": "openalex", "stream": "TRUCK", "query_id": "TRUCK-2" } ], "streams": [ "TRUCK" ], "relevance_signals": [ "NO_TECHNOLOGY_MATCH" ], "auto_exclude_reason": "EC-4-topic", "screening_status": "auto_excluded", "screened_by": "auto-v1.0.0" }, { "id": "doi:10.5281/zenodo.18682968", "doi": "10.5281/zenodo.18682968", "title": "URBAN TRANSPORT AND RADICAL GEOGRAPHY: RECONFIGURING BERLIN'S LOGISTICS IN THE GLOBAL CAPITALIST SYSTEM", "year": 2025, "authors": [ "Nathaniel James Rowland" ], "first_author": "Nathaniel James Rowland", "venue": "Zenodo (CERN European Organization for Nuclear Research)", "volume": null, "pages": null, "type": "article", "language": "en", "abstract": "Highways are vital to global supply chains, enabling the dominant form of circulating goods inland by truck. Within critical economic geography and related disciplines, however, insufficient attention has been placed on developing a radical highway geography that positions highways within the evolving relationships between global capital, state scales and the labour of moving goods. I fill this silence by applying a historical-geographical materialist lens to Germany’s most congested, costly, and controversial highway – Berlin’s intercity A100 – to explore the entanglements of highways, labour power and the capitalist state within the socio-spatial and temporal dynamics of global capitalism. By following the A100 from the 1950s to the proposed completion of its contentious 16th extension in 2025, I argue that the 16th construction phase is the outcome of continual attempts by the capitalist state – at various scales of intervention – to annihilate space through time. These time–space compressions, which are incomplete, contradictory and contested, facilitate the circulation of commodities – understood here as urban freight and labour power – across space more rapidly and at lower cost, leading not only to a remaking of city logistics but also in the embodied labour of truck drivers, whose working lives increasingly reflect the pressures of accelerated circulation", "keywords": [ "Circulation (fluid dynamics)", "State (computer science)", "Power (physics)", "Space (punctuation)", "Commodification", "Materialism", "Intervention (counseling)", "Boom", "Embodied cognition" ], "cited_by_openalex": 0, "cited_by_scopus": 0, "eid": null, "pii": null, "open_access_url": "https://doi.org/10.5281/zenodo.18682968", "sources": [ { "db": "openalex", "stream": "TRUCK", "query_id": "TRUCK-1" } ], "streams": [ "TRUCK" ], "relevance_signals": [ "TRUCK" ], "auto_exclude_reason": null, "screening_status": "pending_human_screening", "screened_by": "auto-v1.0.0" }, { "id": "doi:10.3389/ffutr.2025.1720356", "doi": "10.3389/ffutr.2025.1720356", "title": "Freight and logistics grand challenges", "year": 2025, "authors": [ "Russell George Thompson" ], "first_author": "Russell George Thompson", "venue": "Frontiers in Future Transportation", "volume": null, "pages": null, "type": "article", "language": "en", "abstract": "A substantial range of key challenges for freight and logistics systems stem largely from recent changes in demand patterns that is leading to lower levels of efficiency as well as difficulties for increasing sustainability. It is also becoming difficult to improve the resilience of logistics networks.The insatiable demand for goods by consumers has led to variable and dynamic consumption patterns that have forced logistics systems to be transformed from push based to pull based networks. Increasing levels of urbanisation has led to higher levels of consumption and increased traffic congestion.eCommerce has created the need for more distributed delivery systems due to growing demand for home deliveries. The last mile requires individual parcels and small orders of food to be delivered on demand with express deliveries becoming more common. This has substantially increased the distance travelled by delivery vehicles within urban areas.Reverse logistics systems now face increased pressure due to product returns from eCommerce as well as the need to facilitate the circular economy. New networks are required to facilitate reuse and recycling.Growing demand for new residences, offices, retail and industrial developments as well as infrastructure projects generate a large amount of construction activity that requires storage and transport of materials. The transient and intense nature of transport demand patterns from construction projects creates many efficiency and sustainability challenges (Thompson, et al., 2023).Changing demand patterns by consumers are leading to decreasing load factors for freight vehicles that is contributing to lower levels of efficiency for logistics networks (ITF, 2018). Key challenges relate to how to increase consolidation levels in vehicles as well as the utilisation of warehouses. This is difficult since most freight and logistics networks are operated by independent carriers and shippers.Inner urban residential and commercial development has led to depots and warehouses being relocated well away from traditional ports (logistics sprawl). Consequently, the middle mile, transport between ports and warehouses typically involves a large amount of crisscrossing movements of freight vehicles within urban areas.There is also much pressure from the combined effects of both massification and atomisation, where transport vehicles such as ships, trains and trucks are increasing in capacity but consumers are demanding smaller consignments largely individual parcels from eCommerce. This creates bottlenecks, due to demand surges and the need to reconsolidate loads at terminals. A high degree of coordination of the timing of transfers between transport modes to at terminals is necessary to reduce delays.There is also a lack of innovation in freight and logistics. Manual administrative processes and handling procedures are contributing to inefficiencies and inhibiting productivity.The resilience of freight networks is being threatened by the increased frequency and intensity of extreme weather events as well as growing international tension from conflicts and tariffs. Global logistics networks are being disrupted with delays and uncertainty becoming real issues for trade.Decarbonisation is a key challenge for freight and logistics. There is a real need to reduce vehicle emissions and consumption of fossil fuels. Total emissions from freight vehicles is the product of both the emissions produced per vehicle kilometre and the vehicle kilometres travelled. Emissions produced per vehicle kilometre largely depends on vehicle type, fuel type, engine emissions standards and operating conditions. Vehicle kilometres travelled depends on the nature of freight networks such as the location of terminals, warehouses & customers, demand for goods & vehicle load factors. Due to changing demand patterns and low levels of network efficiency, vehicle kilometres travelled by freight vehicles is growing, leading to increasing emissions. In addition to utilising alternative fuels for freight vehicles, it is necessary to implement initiatives to increase consolidation levels of freight vehicles to reduce the total distance travelled by freight vehicles.There are a number social problems that need to be addressed when planning and operating future freight systems. These include how to minimise crashes as well as health costs associated with vehicle emissions and noise. Ecommerce has put pressure on shippers and carriers to deliver goods to homes within narrow time windows. This combined with low pay rates and long shifts can increase safety risks for drivers and has led to a shortage of drivers in many countries.Both City Logistics and the Physical Internet (PI) provide useful frameworks for addressing the challenges described above. City logistics promotes a holistic approach to urban freight combining multi-stakeholder engagement with multi-criteria assessment (including triple bottom line). PI promotes open, shared and connected logistics systems (Montreuil, 2011;Crainic and Montreuil, 2016). The vision of PI is to create an integrated and seamless logistics network. Ongoing research is required for developing analytical tools for designing and evaluating emerging technologies and city logistics schemes to ensure that they can be successfully implemented.A range of City Logistics solutions, including parcel lockers, Autonomous Delivery Vehicles (ADVs), crowdshipping, consolidation and transfer hubs as well as High Performance Freight Vehicles (HPVs) have good potential for addressing sustainability and efficiency challenges.Parcel lockers provide convenient and flexible receival points for receivers that reduce delivery costs and distances travelled by carriers (Mohri et al., 2024). Models need to be developed for determining the optimal number of sites as well as their location and whether they are located within buildings or in public spaces. Parcel lockers can also be used for exchanging goods", "keywords": [ "City logistics", "Demand patterns", "Sustainability", "Demand management", "Traffic management", "Product (mathematics)", "Resilience (materials science)", "Consolidation (business)", "Humanitarian Logistics" ], "cited_by_openalex": 0, "cited_by_scopus": 0, "eid": null, "pii": null, "open_access_url": "https://public-pages-files-2025.frontiersin.org/journals/future-transportation/articles/10.3389/ffutr.2025.1720356/pdf", "sources": [ { "db": "openalex", "stream": "TRUCK", "query_id": "TRUCK-1" }, { "db": "openalex", "stream": "TRUCK", "query_id": "TRUCK-3" } ], "streams": [ "TRUCK" ], "relevance_signals": [ "TRUCK" ], "auto_exclude_reason": null, "screening_status": "pending_human_screening", "screened_by": "auto-v1.0.0" }, { "id": "doi:10.2139/ssrn.5292575", "doi": "10.2139/ssrn.5292575", "title": "A Milp and a Genetic Algorithm for The Flying Sidekick Tsp with Variable Drone Speeds", "year": 2025, "authors": [ "Federico Michelotto", "Roberto Roberti" ], "first_author": "Federico Michelotto", "venue": "SSRN Electronic Journal", "volume": null, "pages": null, "type": "preprint", "language": "en", "abstract": null, "keywords": [ "Drone", "Variable (mathematics)", "Computer science", "Genetic algorithm", "Algorithm", "Mathematical optimization", "Mathematics", "Biology" ], "cited_by_openalex": 0, "cited_by_scopus": 0, "eid": null, "pii": null, "open_access_url": "https://doi.org/10.2139/ssrn.5292575", "sources": [ { "db": "openalex", "stream": "TRUCK", "query_id": "TRUCK-1" }, { "db": "openalex", "stream": "UAV", "query_id": "UAV-1" } ], "streams": [ "TRUCK", "UAV" ], "relevance_signals": [ "UAV_NO_CTX" ], "auto_exclude_reason": "EC-4-topic", "screening_status": "auto_excluded", "screened_by": "auto-v1.0.0" }, { "id": "doi:10.5465/amproc.2025.18915abstract", "doi": "10.5465/amproc.2025.18915abstract", "title": "Last-Mile Operations in Emerging Markets: Dwell Time Efficiency for Nanostore Deliveries", "year": 2025, "authors": [ "Camilo Andrés Mora-Quiñones", "Josué C. Velázquez-Martínez", "Jan C. Fransoo", "Leopoldo Eduardo Cárdenas‐Barrón" ], "first_author": "Camilo Andrés Mora-Quiñones", "venue": "Academy of Management Proceedings", "volume": null, "pages": null, "type": "conference-abstract", "language": "en", "abstract": "Last-mile logistics for nanostore deliveries in emerging markets present significant operational challenges. Dwell time efficiency management is crucial for maximizing delivery productivity and reducing operational costs. Dwell time efficiency is calculated as the ratio of dwell time to the number of boxes delivered per customer. However, factors influencing dwell time efficiency in this context remain underexplored, especially given the unique conditions of urban environments in developing countries. This study aims to identify and analyze the key factors influencing dwell time efficiency in last-mile deliveries to nanostores in emerging markets, focusing on understanding how strategic, tactical, and operational decisions affect productivity, providing useful insights for companies that manage urban freight logistics. We conducted a cross-sectional observational study with over 2,700 observations of freight vehicles across 18 Mexican states. The analysis includes factors such as visit purpose (Sales, Delivery, or Sales and Delivery), vehicle type, door type (side or rear), and parking legality, among others. We use a hierarchical regression model to assess the impact of these variables on dwell time efficiency, considering both global and group-specific effects. Our findings show that integrating sales and delivery tasks (van-sales) is more productive, in terms of dwell time efficiency, than pre-sales strategies, making it the preferred model for serving nanostores. Moreover, vehicles with side doors are more efficient in serving nanostores than those with only rear doors. This advantage is especially important considering that 66% of vehicles are typically parked on the street. In such cases, side doors allow for faster and easier access to cargo, reducing the need for complex maneuvers and decreasing time spent at each stop. This feature is particularly valuable when serving nanostores, as our evidence shows that deliveries on secondary streets are less efficient than in primary streets. Additionally, the study finds no significant difference in dwell time efficiency between legal and illegal parking, challenging the assumption that illegal parking speeds up deliveries. This result is critical for encouraging legal parking practices. These insights are particularly relevant for companies serving nanostores in emerging markets, providing strategies to enhance productivity.", "keywords": [ "Dwell time", "Context (archaeology)", "Operational efficiency", "Doors", "Productivity", "Delivery Performance", "Key (lock)" ], "cited_by_openalex": 0, "cited_by_scopus": 0, "eid": null, "pii": null, "open_access_url": "https://doi.org/10.5465/amproc.2025.18915abstract", "sources": [ { "db": "openalex", "stream": "TRUCK", "query_id": "TRUCK-1" } ], "streams": [ "TRUCK" ], "relevance_signals": [ "TRUCK" ], "auto_exclude_reason": null, "screening_status": "pending_human_screening", "screened_by": "auto-v1.0.0" }, { "id": "title:katsaus kuorma auto drooni toimitusten optimointi mallinnukseen kaupunkiymparistoissa", "doi": null, "title": "Katsaus kuorma-auto–drooni-toimitusten optimointi mallinnukseen kaupunkiympäristöissä", "year": 2025, "authors": [ "Patrik Peltoniemi" ], "first_author": "Patrik Peltoniemi", "venue": "Aaltodoc (Aalto University)", "volume": null, "pages": null, "type": "dissertation", "language": "en", "abstract": "Innovation in the last-mile logistics is crucial for companies if they wish to keep up with the rising demand and sustainability pressure. Especially in the field of electronic commerce digitalization and availability increase demand, while urbanization concentrates it, making traditional systems obsolete. To tackle these problems, drones have been presented as a promising solution, with company experiments starting as early as 2013. While companies have started their experimentation, academic research has focused on optimization, to offer insight into the viability and scalability of drones in parcel delivery. The literature is diverse, with researchers exploring a great number of different modelling choices. However, it is hindered by a lack of standard terminology. This makes interpretation and comparison hard without solid knowledge of terms, studies and foundational approach angles used in such research. In this thesis I conducted a literature review on truck-drone optimization re-search, focusing on last-mile deliveries in urban environments and modelling approaches. The aim is to provide an overview to help the interpretation of developments in the field, while comparing the modelling choices made by researchers to their representation of real-world conditions. Results of this study show that under-lying approach choices could be used to classify problem types to help with the terminology problems. Additionally, while the research seems to have a direction to-wards more realistic modelling, trade-offs exist in complexity of models. Moreover, a lack of empirical data in research was identified. Therefore, while research shows consistently positive results on paper, implication for real-world systems remain limited.", "keywords": [ "Terminology", "Interpretation (philosophy)", "Field (mathematics)", "Empirical research", "Drone", "Representation (politics)" ], "cited_by_openalex": 0, "cited_by_scopus": 0, "eid": null, "pii": null, "open_access_url": "https://aaltodoc.aalto.fi/handle/123456789/142878", "sources": [ { "db": "openalex", "stream": "TRUCK", "query_id": "TRUCK-1" }, { "db": "openalex", "stream": "UAV", "query_id": "UAV-1" } ], "streams": [ "TRUCK", "UAV" ], "relevance_signals": [ "UAV", "TRUCK" ], "auto_exclude_reason": null, "screening_status": "pending_human_screening", "screened_by": "auto-v1.0.0" }, { "id": "title:pathways to efficient and equitable solutions for large scale routing problems", "doi": null, "title": "Pathways to Efficient and Equitable Solutions for Large-Scale Routing Problems", "year": 2025, "authors": [ "Sobhanan, Abhay" ], "first_author": "Sobhanan, Abhay", "venue": "Digital Commons - University of South Florida (University of South Florida)", "volume": null, "pages": null, "type": "dissertation", "language": null, "abstract": "This dissertation addresses large-scale optimization problems in transportation emerging from hierarchical decision-making, equitable workload allocation, and innovative routing logistics. It presents three sets of contributions, each detailed in a separate chapter, and offers computational tools and insights to advance both the theory and practice of transportation systems. The first work introduces a deep learning-enhanced genetic algorithm framework for solving the Hierarchical Vehicle Routing Problems (HVRPs). Traditional optimization approaches to such problems require extensive evaluation of multiple lower-level routing solutions and are computationally intensive. Our innovative method integrates a genetic algorithm with a pretrained graph neural network, which is trained on solutions from the HGS CVRP solver, to effectively predict vehicle routing costs resulting from upper level decisions without explicitly solving each scenario. Extensive computational experiments validate the effectiveness of this approach, demonstrating significant computational savings while maintaining high-quality solutions across various datasets. The second work proposes a practical equity-oriented optimization framework tailored specifically for crowdshipping platforms within the last-mile delivery systems. Recognizing that equitable workload distribution and fair compensation are crucial for maintaining a sustainable pool of crowdworkers, our framework utilizes bi-objective optimization to balance equity against operational costs. To effectively solve this problem, we propose Hybrid NSGA-II. Numerous experiments are conducted to quantify the trade-offs between cost and equity, revealing that modest sacrifices in efficiency can lead to substantial equity improvements. Our findings provide actionable insights for gig-economy platforms, highlighting optimal strategies to maximize fairness with minimal cost increases, and guiding workforce management by analyzing the effects of varying crowdshipper pool sizes. The third problem extends the classical Rural Postman Problem (RPP) to a mixed-fleet scenario involving multiple trucks and drones, with the objective of minimizing makespan. Trucks act as mobile depots, deploying drones to service required arcs while also serving the arcs they visit themselves. To navigate the complexity inherent in this problem, we introduce a Hybrid Genetic Algorithm with a chromosome structure that encodes required arc sequences and vehicle assignments, accompanied by multiple dedicated local searches. Comprehensive evaluations on large-scale instances demonstrate the scalability, effectiveness, and real-time applicability of our method, underscoring significant improvements achievable through truck-drone integration in arc-routing logistics.", "keywords": [ "Vehicle routing problem", "Workload", "Equity (law)", "Genetic algorithm", "Routing (electronic design automation)", "Multi-objective optimization" ], "cited_by_openalex": 0, "cited_by_scopus": 0, "eid": null, "pii": null, "open_access_url": "https://digitalcommons.usf.edu/etd/11009", "sources": [ { "db": "openalex", "stream": "TRUCK", "query_id": "TRUCK-1" }, { "db": "openalex", "stream": "TRUCK", "query_id": "TRUCK-3" }, { "db": "openalex", "stream": "UAV", "query_id": "UAV-2" } ], "streams": [ "TRUCK", "UAV" ], "relevance_signals": [ "UAV", "TRUCK" ], "auto_exclude_reason": null, "screening_status": "pending_human_screening", "screened_by": "auto-v1.0.0" }, { "id": "doi:10.37128/2520-6168-2025-3-14", "doi": "10.37128/2520-6168-2025-3-14", "title": "MODERN TECHNOLOGIES AND TRENDS FOR THE FUTURE USE OF TRACK BIKES FOR TRANSPORTING SOLID HOUSEHOLD WASTE", "year": 2025, "authors": [ "M.V. Mytko", "Serhii Burlaka", "Svetlana KRAVETS" ], "first_author": "M.V. Mytko", "venue": "ENGINEERING ENERGY TRANSPORT AIC", "volume": null, "pages": null, "type": "article", "language": "en", "abstract": "The article considers modern technologies and innovative approaches to the introduction of cargo bikes - trucks into the system of collection and transportation of solid household waste in urban and suburban conditions. Growing environmental challenges, the need to reduce greenhouse gas emissions and restricting the use of traditional vehicles in densely populated areas encourage the search for alternative solutions in the field of municipal logistics. One of the promising areas is the use of cargo cargo bikes - trucks, in particular electrified models, capable of ensuring transportation efficiency with minimal negative impact on the environment. The article analyzes in detail the technical capabilities of bikes-trucks, their carrying capacity, energy efficiency and the feasibility of integration into the waste management system. A conceptual model of the use of bikes-trucks in urban infrastructure is proposed, taking into account the factors of population density, route length and road network congestion. A comparative analysis of traditional garbage trucks and bikes-trucks is carried out according to the criteria of economy, environmental friendliness and maneuverability. The results of the research demonstrate that the use of bikes-trucks for transporting solid household waste can reduce CO₂ emissions by 30–50% compared to diesel cars, as well as contribute to reducing noise pollution in cities. In addition, the system has shown effectiveness in areas with narrow streets and traffic restrictions, where traditional transport is of little use. The article also provides recommendations for the development of the infrastructure necessary for the widespread introduction of bikes-trucks, including specialized sites, charging stations and logistics centers. The proposed approach may be useful for local governments, municipal services, as well as engineers and entrepreneurs involved in the development and implementation of environmentally friendly transport systems. The results obtained contribute to the formation of new trends in the field of \"green\" urban logistics and the development of sustainable infrastructure.", "keywords": [ "Truck", "Garbage", "Municipal solid waste", "Greenhouse gas", "Scope (computer science)", "Track (disk drive)", "Population", "Noise pollution" ], "cited_by_openalex": 0, "cited_by_scopus": 0, "eid": null, "pii": null, "open_access_url": "http://tetapk.vsau.org/storage/articles/January2026/e3tYtydiXOrg8ZKFG4wB.pdf", "sources": [ { "db": "openalex", "stream": "TRUCK", "query_id": "TRUCK-1" } ], "streams": [ "TRUCK" ], "relevance_signals": [ "TRUCK" ], "auto_exclude_reason": null, "screening_status": "pending_human_screening", "screened_by": "auto-v1.0.0" }, { "id": "doi:10.2139/ssrn.5209336", "doi": "10.2139/ssrn.5209336", "title": "Dynamic Order Fulfillment in Last-Mile Drone Delivery Under Demand Uncertainty", "year": 2025, "authors": [ "Linxuan Shi", "Zhengtian Xu", "Miguel A. Lejeune", "Qi Luo" ], "first_author": "Linxuan Shi", "venue": "SSRN Electronic Journal", "volume": null, "pages": null, "type": "preprint", "language": "en", "abstract": null, "keywords": [ "Drone", "Mile", "Last mile (transportation)", "Order (exchange)", "Computer science", "Business", "Geography", "Geodesy", "Finance", "Biology" ], "cited_by_openalex": 0, "cited_by_scopus": 0, "eid": null, "pii": null, "open_access_url": "https://doi.org/10.2139/ssrn.5209336", "sources": [ { "db": "openalex", "stream": "TRUCK", "query_id": "TRUCK-1" }, { "db": "openalex", "stream": "UAV", "query_id": "UAV-1" }, { "db": "openalex", "stream": "UAV", "query_id": "UAV-2" } ], "streams": [ "TRUCK", "UAV" ], "relevance_signals": [ "UAV" ], "auto_exclude_reason": null, "screening_status": "pending_human_screening", "screened_by": "auto-v1.0.0" }, { "id": "doi:10.1061/9780784486269.333", "doi": "10.1061/9780784486269.333", "title": "Comparison of Freight Generation Models: Land Area-Based versus Freight Facility-Based Approaches", "year": 2025, "authors": [ "Lianhua Piao", "Wen Zhang", "Jun Hao Tan", "Xiangshun Wang", "Zhengtao Qin", "Yifei Huang", "Mingxuan Zhen", "Quan Yuan" ], "first_author": "Lianhua Piao", "venue": "Cictp 2025 Transportation Artificial Intelligence and Energy Proceedings of the 25th Cota International Conference of Transportation Professionals", "volume": null, "pages": "3512-3521", "type": "conference-paper", "language": null, "abstract": "The rapid expansion of e-commerce and industry specialization has significantly increased demand for goods delivery, leading to higher freight vehicle flows on urban roads and affecting urban transport operations. Accurate prediction of urban freight vehicle flow is essential for effective traffic management, with freight generation being a key factor. Both land use types and freight facilities contribute to freight generation, yet a few studies have assessed which method is more accurate for estimation. This study compares a freight facility-based model and a land area-based model in predicting freight vehicle generation. Results indicate that the freight facility-based model provides superior prediction accuracy compared to the land area-based model. The accuracy rates are 0.792 for the freight facility-based model and 0.709 for the land area-based model. Additionally, the freight facility-based model has a lower RMSE of 1.7342 compared to 2.0315 for the land area-based model, confirming the better prediction of freight facility-based model.", "keywords": [ "Production (economics)", "Work (physics)", "Land use", "Data collection", "Supply chain" ], "cited_by_openalex": 0, "cited_by_scopus": "0", "eid": "2-s2.0-105041192821", "pii": null, "open_access_url": "https://doi.org/10.1061/9780784486269.333", "sources": [ { "db": "openalex", "stream": "TRUCK", "query_id": "TRUCK-1" }, { "db": "scopus", "stream": "TRUCK", "query_id": "TRUCK-1" } ], "streams": [ "TRUCK" ], "relevance_signals": [ "TRUCK" ], "auto_exclude_reason": null, "screening_status": "pending_human_screening", "screened_by": "auto-v1.0.0" }, { "id": "doi:10.1007/978-3-031-95284-5_37", "doi": "10.1007/978-3-031-95284-5_37", "title": "Inefficiency Assessment for Agricultural Commodities in Urban Areas", "year": 2025, "authors": [ "Harshit Talreja", "Mayank Manoj Dubey" ], "first_author": "Harshit Talreja", "venue": "Lecture notes in mobility", "volume": "Part F658", "pages": "259-266", "type": "book-chapter", "language": "en", "abstract": "Abstract Agricultural commodities make up a significant portion of India’s freight transportation. They pass through urban areas during various supply chain stages, making urban freight essential. However, importance of urban freight often goes unnoticed, impacting efficiency, society, and the environment. In towns with agricultural hubs, issues intensify as freight vehicles block entrances and exits due to inadequate management and infrastructure. This leads to higher expenses in urban areas. The study attempts to identify certain challenges that plague the transportation of agricultural commodities in urban areas. The study is conducted in the city of Kanpur, Uttar Pradesh due to its unique character of production, processing, storage, consumption of agricultural commodities. The primary data was collected by the OD survey, establishment survey, interviews and questionnaires. The study identifies inefficiencies like empty return trips, increase in the trip lengths, along with congestion, overloading, etc. These identified issues coupled with the informality of the sector, lack of education and enforcement lead to other implications in terms of cost, emissions, and opportunity cost.", "keywords": [ "Business", "Inefficiency", "Agriculture", "TRIPS architecture", "Agricultural economics", "Consumption (sociology)", "Enforcement", "Transport engineering", "Geography", "Economics", "Engineering" ], "cited_by_openalex": 0, "cited_by_scopus": "0", "eid": "2-s2.0-105011985887", "pii": null, "open_access_url": "https://doi.org/10.1007/978-3-031-95284-5_37", "sources": [ { "db": "openalex", "stream": "TRUCK", "query_id": "TRUCK-1" }, { "db": "scopus", "stream": "TRUCK", "query_id": "TRUCK-1" } ], "streams": [ "TRUCK" ], "relevance_signals": [ "TRUCK" ], "auto_exclude_reason": null, "screening_status": "pending_human_screening", "screened_by": "auto-v1.0.0" }, { "id": "doi:10.1504/ijmdm.2025.147193", "doi": "10.1504/ijmdm.2025.147193", "title": "Deep learning-based hybrid traffic flow prediction model for freight transport", "year": 2025, "authors": [ "Anıl Utku", "Sema pinar Kaya", "Ümit Can" ], "first_author": "Anıl Utku", "venue": "International Journal of Management and Decision Making", "volume": "24", "pages": "371-393", "type": "article", "language": "en", "abstract": "Urban freight transportation is crucial to sustaining domestic and international trade and fulfilling the regular requirements of community companies and customers. Therefore, this study developed an efficient convolutional neural network (CNN) and long short-term memory (LSTM) based hybrid deep learning model for predicting traffic flow in freight transportation. The number of freight trucks that would travel along 663 Street in Anderlecht, Belgium, and their average speed was predicted. The created model was compared with support vector machine (SVM), linear regression (LR), multilayer perceptron (MLP), random forest (RF), LSTM, and CNN using the success measures. The critical finding of this study is that combining the feature extraction ability of the 1D CNN model with the learning ability of the LSTM model from multivariate traffic data increases the traffic density prediction success compared to other traditional methods. Based on the results of the experiments, the CNN-LSTM model outperformed all the other models employed in this study. With this model, freight density can be successfully predicted, assisting in planning freight transport activities.", "keywords": [ "Computer science", "Transport engineering", "Deep learning", "Flow network", "Traffic flow (computer networking)", "Flow (mathematics)", "Operations research", "Artificial intelligence", "Computer network", "Engineering" ], "cited_by_openalex": 0, "cited_by_scopus": "0", "eid": "2-s2.0-105010589224", "pii": null, "open_access_url": "https://doi.org/10.1504/ijmdm.2025.147193", "sources": [ { "db": "openalex", "stream": "TRUCK", "query_id": "TRUCK-1" }, { "db": "scopus", "stream": "TRUCK", "query_id": "TRUCK-1" } ], "streams": [ "TRUCK" ], "relevance_signals": [ "TRUCK" ], "auto_exclude_reason": null, "screening_status": "pending_human_screening", "screened_by": "auto-v1.0.0" }, { "id": "doi:10.1007/978-981-96-9901-8_30", "doi": "10.1007/978-981-96-9901-8_30", "title": "Multi-agent Deep Q-Learning Algorithm Integrated with Ant Colony Optimization for Solving Dynamic Feeder Vehicle Routing Problem", "year": 2025, "authors": [ "Yuan-ji Ming", "Qingxia Shang", "Bin Qian", "Rong Hu" ], "first_author": "Yuan-ji Ming", "venue": "Lecture notes in computer science", "volume": "15854 LNCS", "pages": "363-374", "type": "conference-paper", "language": "en", "abstract": null, "keywords": [ "Ant colony optimization algorithms", "Computer science", "Q-learning", "Routing (electronic design automation)", "Travelling salesman problem", "Vehicle routing problem", "ANT", "Ant colony", "Mathematical optimization", "Artificial intelligence", "Algorithm", "Reinforcement learning" ], "cited_by_openalex": 0, "cited_by_scopus": "0", "eid": "2-s2.0-105012251851", "pii": null, "open_access_url": "https://doi.org/10.1007/978-981-96-9901-8_30", "sources": [ { "db": "openalex", "stream": "TRUCK", "query_id": "TRUCK-1" }, { "db": "scopus", "stream": "TRUCK", "query_id": "TRUCK-1" } ], "streams": [ "TRUCK" ], "relevance_signals": [ "NO_TECHNOLOGY_MATCH" ], "auto_exclude_reason": "EC-4-topic", "screening_status": "auto_excluded", "screened_by": "auto-v1.0.0" }, { "id": "doi:10.5281/zenodo.17511388", "doi": "10.5281/zenodo.17511388", "title": "E-Laas project - conference panel (Transport XXI, 2025)", "year": 2025, "authors": [ "Szczepański, Emilian", "Jacyna, Marianna", "Lewczuk, Konrad" ], "first_author": "Szczepański, Emilian", "venue": "Zenodo (CERN European Organization for Nuclear Research)", "volume": null, "pages": null, "type": "other", "language": null, "abstract": "Report from the conference panel at a scientific conference as part of the E-LaaS (Energy optimal urban logistics As A Service) project. The panel held as part of the Transport XXI (September 2 – 5, 2025, Warsaw). Energy optimal urban Logistics As A Service - Project funding informationProject implemented as part of the call ERA-NET Cofund Urban Accessibility and Connectivity (ENUAC China Call) organized by JPI Urban Europe and the National Natural Science Foundation of China (NSFC). This project has received funding from the European Union’s Horizon 2020 research and innovation programme under grant agreement No 875022. E-Laas project is carried out in an international consortium. Project coordinator in Europe: Chalmers University of Technology (Sweden), project coordinator in China: Shanghai University (China), consortium members: Tsinghua University (China), Warsaw University of Technology (Poland), cooperation partners: Stockholms stad, Trafikkontoret (Sweden), ParkUnload (Spain), Metropolis GZM (Poland), Shanghai Urban-Rural Construction and Transportation Department (China), Volvo Group Trucks Technology and Operations (Sweden). The Chinese part of the project is funded by National Natural Science Foundation of China. The Swedish part of the project is funded by Swedish Energy Agency. The Polish part of the project is funded by the National Science Centre, Poland (project no. 2022/04/Y/ST8/00134). The value of the co-financing is PLN 878,107.00. Project duration 27/04/2023 - 26/04/2026 (36 months).", "keywords": [ "China", "Truck", "Service (business)", "Research program", "Technical university", "Duration (music)" ], "cited_by_openalex": 0, "cited_by_scopus": 0, "eid": null, "pii": null, "open_access_url": "https://doi.org/10.5281/zenodo.17511388", "sources": [ { "db": "openalex", "stream": "TRUCK", "query_id": "TRUCK-1" } ], "streams": [ "TRUCK" ], "relevance_signals": [ "TRUCK" ], "auto_exclude_reason": null, "screening_status": "pending_human_screening", "screened_by": "auto-v1.0.0" }, { "id": "doi:10.5281/zenodo.17511387", "doi": "10.5281/zenodo.17511387", "title": "E-Laas project - conference panel (Transport XXI, 2025)", "year": 2025, "authors": [ "Szczepański, Emilian", "Jacyna, Marianna", "Lewczuk, Konrad" ], "first_author": "Szczepański, Emilian", "venue": "Zenodo (CERN European Organization for Nuclear Research)", "volume": null, "pages": null, "type": "other", "language": null, "abstract": "Report from the conference panel at a scientific conference as part of the E-LaaS (Energy optimal urban logistics As A Service) project. The panel held as part of the Transport XXI (September 2 – 5, 2025, Warsaw). Energy optimal urban Logistics As A Service - Project funding informationProject implemented as part of the call ERA-NET Cofund Urban Accessibility and Connectivity (ENUAC China Call) organized by JPI Urban Europe and the National Natural Science Foundation of China (NSFC). This project has received funding from the European Union’s Horizon 2020 research and innovation programme under grant agreement No 875022. E-Laas project is carried out in an international consortium. Project coordinator in Europe: Chalmers University of Technology (Sweden), project coordinator in China: Shanghai University (China), consortium members: Tsinghua University (China), Warsaw University of Technology (Poland), cooperation partners: Stockholms stad, Trafikkontoret (Sweden), ParkUnload (Spain), Metropolis GZM (Poland), Shanghai Urban-Rural Construction and Transportation Department (China), Volvo Group Trucks Technology and Operations (Sweden). The Chinese part of the project is funded by National Natural Science Foundation of China. The Swedish part of the project is funded by Swedish Energy Agency. The Polish part of the project is funded by the National Science Centre, Poland (project no. 2022/04/Y/ST8/00134). The value of the co-financing is PLN 878,107.00. Project duration 27/04/2023 - 26/04/2026 (36 months).", "keywords": [ "China", "Truck", "Service (business)", "Research program", "Technical university", "Duration (music)" ], "cited_by_openalex": 0, "cited_by_scopus": 0, "eid": null, "pii": null, "open_access_url": "https://doi.org/10.5281/zenodo.17511387", "sources": [ { "db": "openalex", "stream": "TRUCK", "query_id": "TRUCK-1" } ], "streams": [ "TRUCK" ], "relevance_signals": [ "TRUCK" ], "auto_exclude_reason": null, "screening_status": "pending_human_screening", "screened_by": "auto-v1.0.0" }, { "id": "doi:10.2139/ssrn.5854482", "doi": "10.2139/ssrn.5854482", "title": "Data-driven Energy and Power Demand Estimation for Electric Freight Transport in Finland", "year": 2025, "authors": [ "Nino Chkhartishvili", "Antonio Maria Costa", "Alexander Aushev", "Mikko H. Pihlatie" ], "first_author": "Nino Chkhartishvili", "venue": "SSRN Electronic Journal", "volume": null, "pages": null, "type": "preprint", "language": null, "abstract": null, "keywords": [ "Electrification", "Truck", "Software deployment", "Key (lock)", "Estimation", "Transportation infrastructure", "Electricity", "Demand forecasting" ], "cited_by_openalex": 0, "cited_by_scopus": 0, "eid": null, "pii": null, "open_access_url": "https://doi.org/10.2139/ssrn.5854482", "sources": [ { "db": "openalex", "stream": "TRUCK", "query_id": "TRUCK-1" } ], "streams": [ "TRUCK" ], "relevance_signals": [ "TRUCK_NO_CTX" ], "auto_exclude_reason": "EC-4-topic", "screening_status": "auto_excluded", "screened_by": "auto-v1.0.0" }, { "id": "doi:10.3390/math13111698", "doi": "10.3390/math13111698", "title": "Advanced Vehicle Routing for Electric Fleets Using DPCGA: Addressing Charging and Traffic Constraints", "year": 2025, "authors": [ "Yuehan Zheng", "Hao Chang", "Peng Yu", "Taofeng Ye", "Ying Wang" ], "first_author": "Yuehan Zheng", "venue": "Mathematics", "volume": "13", "pages": null, "type": "article", "language": "en", "abstract": "With the rapid proliferation of electric vehicles (EVs), urban logistics faces increasing challenges in optimizing vehicle routing. This paper presents a new modeling framework for the Electric Vehicle Routing Problem (EVRP), where multiple electric trucks serve a set of customers within their capacity limits. The model incorporates critical EV-specific constraints, including limited battery range, charging demand, and dynamic urban traffic conditions, with the objective of minimizing total delivery cost. To efficiently solve this problem, a Dual Population Cooperative Genetic Algorithm (DPCGA) is proposed. The algorithm employs a dual-population mechanism for global exploration, effectively expanding the search space and accelerating convergence. It then introduces local refinement operators to improve solution quality and enhance population diversity. A large number of experimental results demonstrate that DPCGA significantly outperforms traditional algorithms in terms of performance, achieving an average 3% improvement in customer satisfaction and a 15% reduction in computation time. Furthermore, this algorithm shows superior solution quality and robustness compared to the AVNS and ESA-VRPO algorithms, particularly in complex scenarios such as adjustments in charging station layouts and fluctuations in vehicle range. Sensitivity analysis further verifies the stability and practicality of DPCGA in real-world urban delivery environments.", "keywords": [ "Transport engineering", "Vehicle routing problem", "Computer science", "Routing (electronic design automation)", "Operations research", "Engineering", "Computer network" ], "cited_by_openalex": 0, "cited_by_scopus": "0", "eid": "2-s2.0-105007691430", "pii": null, "open_access_url": "https://www.mdpi.com/2227-7390/13/11/1698/pdf?version=1747905782", "sources": [ { "db": "openalex", "stream": "TRUCK", "query_id": "TRUCK-1" }, { "db": "openalex", "stream": "TRUCK", "query_id": "TRUCK-2" }, { "db": "openalex", "stream": "TRUCK", "query_id": "TRUCK-3" }, { "db": "scopus", "stream": "TRUCK", "query_id": "TRUCK-1" }, { "db": "scopus", "stream": "TRUCK", "query_id": "TRUCK-2" }, { "db": "scopus", "stream": "TRUCK", "query_id": "TRUCK-3" } ], "streams": [ "TRUCK" ], "relevance_signals": [ "TRUCK" ], "auto_exclude_reason": null, "screening_status": "pending_human_screening", "screened_by": "auto-v1.0.0" }, { "id": "doi:10.31705/trf.2025.17", "doi": "10.31705/trf.2025.17", "title": "Optimizing freight transportation through e-mobility integration: a case study from Sri Lanka", "year": 2025, "authors": [ "L.R. Rathuge", "Varuna Adikariwattage", "H.R. Pasindu" ], "first_author": "L.R. Rathuge", "venue": null, "volume": null, "pages": null, "type": "conference-paper", "language": "en", "abstract": "The transportation sector globally faces growing pressure to adopt sustainable practices, as freight transport significantly contributes to greenhouse gas emissions and diesel consumption. In Sri Lanka, freight systems exacerbate environmental degradation, with transport-related activities accounting for a substantial portion of air pollution. Electric vehicles (EVs) present a transformative opportunity to reduce emissions and operational costs, yet their integration into freight systems, particularly in developing countries, remains underexplored. This research investigates the optimization of freight transportation through e-mobility integration, addressing challenges such as rural routes, limited charging infrastructure, variable demand, and time-sensitive delivery requirements. While the study focuses on a case involving perishable goods logistics, its findings aim to be broadly applicable to freight transportation, developing a scalable mixed fleet model that combines EVs with conventional vehicles. The research is driven by inefficiencies in Sri Lanka’s freight systems, characterized by dispersed collection points, variable loads, and geographical challenges, which lead to elevated costs and reduced productivity. Transitioning to EVs aligns with national e-mobility goals and global sustainability targets, offering a pathway to lower environmental impact. The primary objective is to determine an optimal strategy for introducing e-mobility into freight transportation, focusing on enhancing the efficiency of collection and distribution networks. The methodology unfolds in five stages. Initially, the current freight system is evaluated by collecting data on route characteristics, fleet performance, and operational metrics to establish a baseline for comparison. Next, accessible EV technologies are investigated, assessing their operating costs, performance parameters such as range and payload capacity, and infrastructure needs like charging solutions. A cost model is developed to compare EVs with conventional vehicles, providing a financial basis for integration. The third stage involves a feasibility assessment to identify routes suitable for EV deployment, considering range limitations, charging infrastructure availability, and payload requirements. In the fourth stage, mixed fleet scenarios are modeled using the Capacitated Vehicle Routing Problem with Time Windows (CVRPTW) and Mixed Integer Linear Programming (MILP), testing various fleet compositions while factoring in route lengths, terrain challenges, and charging constraints. Finally, the best-performing scenario is selected based on cost efficiency, emission reductions, and operational feasibility, validated through global case studies of successful EV integration in urban logistics. Preliminary findings suggest that EVs, such as electric light trucks and three-wheelers, are well-suited for shorter rural routes, complementing conventional vehicles for longer hauls. Technological advancements, including improved battery ranges and solar-powered charging, help overcome rural infrastructure gaps. International examples of EV adoption in urban freight logistics demonstrate significant emissions reductions and cost savings on optimized routes, though challenges like range anxiety persist, which this study addresses through localized modeling.", "keywords": [ "Sri lanka", "Transport engineering", "Traffic management", "Computer science", "Business", "Environmental planning", "Environmental science", "Engineering" ], "cited_by_openalex": 0, "cited_by_scopus": 0, "eid": null, "pii": null, "open_access_url": "https://dl.lib.uom.lk/bitstreams/afa9a408-5020-426e-a28f-cff8cae805a0/download", "sources": [ { "db": "openalex", "stream": "TRUCK", "query_id": "TRUCK-1" }, { "db": "openalex", "stream": "TRUCK", "query_id": "TRUCK-2" } ], "streams": [ "TRUCK" ], "relevance_signals": [ "TRUCK" ], "auto_exclude_reason": null, "screening_status": "pending_human_screening", "screened_by": "auto-v1.0.0" }, { "id": "doi:10.1007/978-3-031-89444-2_3", "doi": "10.1007/978-3-031-89444-2_3", "title": "Stations of the Future: A Study on EV Charging Stations Considering Users’ Requirements and Expectations", "year": 2025, "authors": [ "Juan F. Giménez", "Amparo López-Vicente", "Carol Soriano", "Raquel Marzo", "José Solaz", "Elisa Signes" ], "first_author": "Juan F. Giménez", "venue": "Lecture notes in mobility", "volume": "Part F383", "pages": "16-23", "type": "conference-paper", "language": "en", "abstract": "Abstract One of the products included in USER-CHI project is the definition of the charging stations that not only EVs and LEVs require, but also fulfil the needs and expectations of the end users. A qualitative and quantitative user research following the user experience principles have been performed, achieving a deep knowledge of EV drivers’ charging preferences and patterns in order to increase their acceptance. As a result of this research, we have identified basic requirements, increasing value and desirable features that are related to the charging process of an EV, that should be included in a charging station aimed to achieve end users’ expectations. Taking these features, we have defined four different concepts of stations of the future, namely: Intermodal Station, Highway Station, LEV Charger and Urban Station. Concepts are presented in a handbook, following a composition that includes: a colored realistic sketch of the concept, a presentation of its main features organized in three topics (Technologies-Services-Location), and business models related to the concept. These business models were generated with the five demo-cities that are part of the USER-CHI consortium. The business model related to each concept, is a combination of the seven business models defined with the cities -Logistics Hubs, Citizen e-mobility Station, City Centre (Park&Charge), e-Trucks, e-Taxi Stops, Special Events, Mobile Charging Stations. The most relevant features of the resultant business model related to each conceptual station are presented in a new reduced format, including four topics: The Value, The Business, The Market and The Flow.", "keywords": [ "Environmental science", "Computer science", "Telecommunications", "Business" ], "cited_by_openalex": 0, "cited_by_scopus": "0", "eid": "2-s2.0-105004768186", "pii": null, "open_access_url": "https://link.springer.com/content/pdf/10.1007/978-3-031-89444-2_3.pdf", "sources": [ { "db": "openalex", "stream": "TRUCK", "query_id": "TRUCK-1" }, { "db": "scopus", "stream": "TRUCK", "query_id": "TRUCK-1" } ], "streams": [ "TRUCK" ], "relevance_signals": [ "TRUCK" ], "auto_exclude_reason": null, "screening_status": "pending_human_screening", "screened_by": "auto-v1.0.0" }, { "id": "doi:10.2139/ssrn.5220440", "doi": "10.2139/ssrn.5220440", "title": "Impact of Bus Rapid Transit on Freight Movement: A Telematics Approach", "year": 2025, "authors": [ "Yunfei Ma", "Elkafi Hassini", "Saiedeh Razavi" ], "first_author": "Yunfei Ma", "venue": "SSRN Electronic Journal", "volume": null, "pages": null, "type": "preprint", "language": "en", "abstract": null, "keywords": [ "Telematics", "Transport engineering", "Transit (satellite)", "Automotive engineering", "Movement (music)", "Computer science", "Engineering", "Telecommunications", "Public transport", "Physics" ], "cited_by_openalex": 0, "cited_by_scopus": 0, "eid": null, "pii": null, "open_access_url": "https://doi.org/10.2139/ssrn.5220440", "sources": [ { "db": "openalex", "stream": "TRUCK", "query_id": "TRUCK-1" } ], "streams": [ "TRUCK" ], "relevance_signals": [ "NO_TECHNOLOGY_MATCH" ], "auto_exclude_reason": "EC-4-topic", "screening_status": "auto_excluded", "screened_by": "auto-v1.0.0" }, { "id": "doi:10.1111/deci.70004", "doi": "10.1111/deci.70004", "title": "IN THIS ISSUE", "year": 2025, "authors": [], "first_author": null, "venue": "Decision Sciences", "volume": null, "pages": null, "type": "article", "language": "en", "abstract": "To ensure high service quality, managers need to personalize treatment options and meet their customer demands. Our research is motivated by the need to better anticipate and prepare for that. We develop a generalizable framework that is the first to address two healthcare risk management goals: (1) identifying high risk and stable-demand customers and (2) predicting the medium-term demand for services of stable-demand customers. We also design a model-agnostic method for variable evaluation. It can rank predictors based on their global impact and highlight their effect on a model's local accuracy. In this research, we leverage a large electronic medical records' data set, which comprised 48,344 chronic kidney disease patients treated across geographically diverse Veterans Affairs regions. Our framework indicates that although only 1.3% of the examined individuals are high-risk patients, it can correctly identify 35% of them and highlight an additional 8.9% as having important demand implications. Identifying high-risk individuals can be used in (1) monitoring prioritization, (2) patients' motivation, and (3) patients' stabilization. Furthermore, our model accurately predicts the monthly need for care of stable-demand individuals up to 3 years into the future and outperforms popular statistical and data mining models. This information is especially critical for hospital management in identifying future hiring needs. Although lenient return policies can drive sales and customer loyalty, they have also resulted in enormous returns volumes and reverse logistics costs. Online retailers often feel compelled to offer free returns, but are then faced with numerous operational challenges, ranging from accurately forecasting returns volumes to identifying presales strategies to reduce the likelihood that a (costly) return occurs. In this research, we consider how the complementarity of the products within an order basket is related to consumer returns. By developing an understanding of the link between basket contents and returns, we can improve order-level returns forecasts, while also providing insights into the effect of basket recommendations on the expected return rate. We take a multimethod approach to this problem. First, we use a stylized model to generate theoretical predictions regarding how within-basket complementarity should influence return probability. Next, we propose a data-driven measure of complementarity, degree of copurchase (DCP), which is based on the machine learning concept of association rule and is implementable using standard retail sales data. Finally, utilizing a unique data set provided by a leading online specialty retailer, we implement the DCP measure and test the predictions of our analytical model. We find, as expected, that there is a decreasing relationship between within-basket complementarity and return probability. However, we also show that this decrease is convex, indicating that the return probability impact is more notable when the complementarity is increased from a lower base. Our results have practical implications for both reverse logistics planning and online product recommendations. Firms increasingly engage in mergers and acquisitions (M&As) to improve their network positions and enhance performance. Yet, how the fundamental structure of the merged supply base changes after the M&A and how the structural changes affect the performance are largely unknown. Building upon the strategy-structure-performance framework, this study investigates dual roles of supply base structural changes in M&A events, namely, as an outcome and as a moderator to post-M&A performance. In particular, we examine how the size and the country diversity of the merged supply base change after M&As, as well as how these structural changes affect the merged firm's operational performance. We conduct a difference-in-differences analysis by comparing firms that engaged in M&A events (treatment group) with those comparable firms that did not engage in any M&A events (control group). The results show that the merged firms tend to reduce the size of their supply bases after M&As. In addition, our results demonstrate that both supply base consolidation (i.e., reducing the number of suppliers) and country diversification (i.e., spreading suppliers across multiple countries) improve the merged firms’ post-M&A operational performance, an effect that becomes stronger for horizontal M&As. We also explore how the type of M&As (i.e., horizontal vs. nonhorizontal), industry relatedness between the two merging firms, and the purposes of M&As affect the post-M&A structural changes to the supply bases. This study helps inform supply managers the important roles of supply base in M&As to enhance post-M&A operational performance or to limit the synergies when not properly done. Electrifying transit bus networks (TBNs) has recently become a challenging problem that many public transport operators around the world are facing. Due to the limited driving range of electric buses, electric TBNs are more sensitive to operational delays and uncertainties. Moreover, the impact on sustainability is most profound when the buses are powered by renewable energy resources, which are often subject to intermittency and uncertainty. In this study, we tackle the complicated problem of planning charging schedules amid these various sources of uncertainty. We develop a real-time decision support system that uses real-time data, predictions, and mathematical optimization to update the charging schedules and mitigate the impact of operational uncertainties. Our results show that the online strategy can maintain higher reliability and renewable energy utilization levels compared to other charging strategies. The study has been carried out in cooperation with the public transport operator in Rotterdam in the Netherlands to assist them in their TBN transition process. Autonomous drones are no longer science fiction but ", "keywords": [ "Computer science", "Business" ], "cited_by_openalex": 0, "cited_by_scopus": 0, "eid": null, "pii": null, "open_access_url": "https://onlinelibrary.wiley.com/doi/pdfdirect/10.1111/deci.70004", "sources": [ { "db": "openalex", "stream": "TRUCK", "query_id": "TRUCK-1" } ], "streams": [ "TRUCK" ], "relevance_signals": [ "UAV_NO_CTX" ], "auto_exclude_reason": "EC-4-topic", "screening_status": "auto_excluded", "screened_by": "auto-v1.0.0" }, { "id": "title:the state of zero emissions delivery in the u s", "doi": null, "title": "The State of Zero-Emissions Delivery in the U.S.", "year": 2025, "authors": [ "Kelly Rula", "Lynn Schnaiberg", "Thomas Maxner", "Hesam Shafiei Nia", "Anne Goodchild" ], "first_author": "Kelly Rula", "venue": "ResearchWorks at the University of Washington (University of Washington)", "volume": null, "pages": null, "type": "article", "language": null, "abstract": "We have seen major changes in the last few years as cities and companies in the United States transition to more environmentally sustainable urban delivery. But progress still remains piecemeal and slow. In both policy and practice on city streets, Europe and parts of Asia are far ahead of the U.S. in advancing electrification, shifting away from traditional trucks to smaller forms like e-bikes, and managing city space to induce or support zero emission delivery (ZED). This paper captures the state of policy and practice of zero emission delivery in the U.S. as of January 2025. It offers a baseline for future work and surfaces levers U.S. cities can consider using to advance ZED. In this report, researchers from the Urban Freight Lab at the University of Washington created a policy and practice framework based on their expertise, review and synthesis of academic literature, current technology and private sector achievements. Via the framework, the research team identifies a three-legged stool of approaches needed to achieve or advance zero emission delivery in the United States. These three vital areas for progress on ZED are: Electrification Mode Shift and Behavior Change, and Real Estate and Space Management For some, these three key building blocks and the myriad elements discussed in this report may not have been linked as levers to catalyze ZED. The report is divided into three sections, one for each of the key areas above. Each area has an overview of the current state of practice and associated trends, followed by both public sector-led and private-sector-led examples of the approach under discussion. All examples focus on real-world implementation (both domestic and international), showcasing ZED and/or providing a realistic pathway to advance ZED. And all examples focus a lens squarely on cities. In the process of compiling this summary of the state of practice of ZED, the research team synthesized key takeaways for cities to consider in Electrification, Mode Shift and Behavior Change, and Real Estate and Space Management.", "keywords": [ "Electrification", "Work (physics)", "Real estate", "Baseline (sea)", "Space (punctuation)", "Private sector", "State (computer science)", "Estate" ], "cited_by_openalex": 0, "cited_by_scopus": 0, "eid": null, "pii": null, "open_access_url": "https://hdl.handle.net/1773/54468", "sources": [ { "db": "openalex", "stream": "TRUCK", "query_id": "TRUCK-1" }, { "db": "openalex", "stream": "TRUCK", "query_id": "TRUCK-3" } ], "streams": [ "TRUCK" ], "relevance_signals": [ "TRUCK" ], "auto_exclude_reason": null, "screening_status": "pending_human_screening", "screened_by": "auto-v1.0.0" }, { "id": "doi:10.1111/deci.12662", "doi": "10.1111/deci.12662", "title": "IN THIS ISSUE", "year": 2025, "authors": [], "first_author": null, "venue": "Decision Sciences", "volume": null, "pages": null, "type": "article", "language": "en", "abstract": "This research, motivated by collaboration with a leading manufacturer and distributor of building products, introduces two distribution network design models considering federally mandated hours of service restrictions on truck drivers and drop-and-swap trailer operations. A key feature of the drop-and-swap transport mode is the decoupling of linehaul and last-mile delivery operations, which enables geographic extension of last-mile delivery routes while complying with hours of service driver regulations and providing next-day delivery service. The models simultaneously determine the profit-maximizing size, number, and location of order fulfillment facilities and satellite drop-and-swap terminals, and systemwide transportation flows. A case study of the firm's distribution network reveals that the new location models improve profitability by approximately 5% when compared with traditional network design approaches. An experimental study of five marketing and operational characteristics shows when the models are most advantageously applied. Overall, profit improvements range from 2.32% to 10.97% on a set of 288 test problems. The research provides new insights for integrated facility location and transportation strategic design. The potential application of the models in a variety of e-commerce scenarios is promising. Realizing the role of their consumers in mitigating environmental problems, companies have started leveraging gamification technology with persuasive interventions to induce consumers’ behavioral changes. Ant Forest—a gamified initiative launched by a prominent Chinese fintech company—empowers users to manage their ecological footprint and promote ethical behavior. However, the research community has primarily focused on Ant Forest's adoption and continuation intention, paying limited attention to how gamification promotes users’ environmentally responsible behavior (ERB) in the postadoption stage. This study contributes to this domain by developing a model based on persuasion and motivation theories and the “affordances–psychological outcomes–behavioral outcomes” framework. This model highlights the impact of gamification on consumers’ ERB through psychological need satisfaction and belief or attitude persuasion. A total of 1869 survey responses regarding the use of Ant Forest were collected from nine cities in China. The results demonstrate that, from gamification experiences with Ant Forest, users perceive psychological need satisfaction (i.e., perceived autonomy, competence, and relatedness), which significantly explains their green beliefs and attitudes (i.e., green task performance, green belief confirmation, and green self-identity), leading to increased ERB. Additionally, users with a higher green absorptive capacity demonstrate a stronger link between green beliefs or attitudes and ERB. This research shifts the focus from adoption and continuation intention to postadoption behavioral modification and offers insights into creating effective gamification systems for fostering ethical behavior and addressing environmental concerns. During the last decade, several retailers have started to combine traditional store deliveries with the fulfillment of online sales to consumers from omnichannel warehouses, which are increasingly being automated. A popular option is to use autonomous mobile robots (AMRs) in collaboration with human pickers. In this approach, the pickers’ unproductive walking time can be reduced even further by zoning the storage system, where the pickers stay within their zone periphery and robots transport order totes between the zones. However, the robotic systems’ optimal zoning strategy is unclear: few zones are particularly good for large store orders, while many zones are particularly good for small online orders. We study the effect of no zoning (NZ) and progressive zoning strategies on throughput capacity for balanced zone configurations with both fixed and dynamic order profiles. We first develop queuing network models to estimate pick throughput capacity that correspond to a given number of AMRs and picking with a fixed number of zones. We demonstrate that the throughput capacity is dependent on the chosen zoning strategy. However, the magnitude of the gains achieved is influenced by the size of the orders being processed. We also show that using a dynamic switching strategy has little effect on throughput performance. In contrast, a fixed switching strategy benefiting from changes in the order profile has the potential to increase throughput performance by 17% compared to the NZ strategy, albeit at a higher robot cost. In many countries, healthcare systems encounter the issue of imbalance between supply and demand in a hierarchical structure. The comprehensive hospitals, which possess more high-quality resources, are often overwhelmed, while their counterparts, community hospitals, are often idle. To address this imbalance issue, certain payment schemes are generally considered effective in motivating comprehensive hospitals to divert patients downstream via resource transfer. In addition to two particular payment schemes, namely, patient payment (PP) and fee-for-capacity (FFC), this study also considers two hospital alliance models, the government-led (GL-type) and the hospital-forged (HF-type) alliance, for effectively overcoming the imbalance issue. Compared to the HF-type alliance, in which each community hospital determines the price paid to the comprehensive hospital for transferring resources, the GL-type alliance requires the payment price to be set by the regulator. Methodologically, this study devises a three-stage sequential game to characterize the dynamics among the various entities, such as the regulator, the comprehensive hospital, the community hospitals, and the patients. Equilibrium results, in terms of the capacity sinking rate and patient transfer rate, are derived, and scheme and alliance performances are evaluated using vari", "keywords": [ "Computer science" ], "cited_by_openalex": 0, "cited_by_scopus": 0, "eid": null, "pii": null, "open_access_url": "https://onlinelibrary.wiley.com/doi/pdfdirect/10.1111/deci.12662", "sources": [ { "db": "openalex", "stream": "TRUCK", "query_id": "TRUCK-1" } ], "streams": [ "TRUCK" ], "relevance_signals": [ "TRUCK" ], "auto_exclude_reason": null, "screening_status": "pending_human_screening", "screened_by": "auto-v1.0.0" }, { "id": "doi:10.1016/j.progress.2025.101021", "doi": "10.1016/j.progress.2025.101021", "title": "Climate-friendly mobility in cities. Planning for carbon reduction in the long term in four European cities", "year": 2025, "authors": [ "Ekki Kreutzberger", "Arjan J. van Binsbergen", "Arkadiusz Drabicki", "Fabian Reitemeyer", "Fatemeh Torabi Kachousangi", "Niels van Oort" ], "first_author": "Ekki Kreutzberger", "venue": "Progress in Planning", "volume": "202", "pages": null, "type": "article", "language": "en", "abstract": "Many cities have ambitious climate targets, like becoming climate-neutral by 2050, 2040 or 2030, but are uncertain about how mobility and land use should change in order to reduce GHG emissions to levels consistent with the cities’ aims. Finding answers on this, and also on the question of how to strike an effective balance between desired fundamental transformation and realistic expectations, was at the heart of the Interreg Europe project 2050 CliMobCity (2050 Climate-friendly Mobility in Cities). The project partners were four medium-sized but otherwise quite different cities (Bydgoszcz, Plymouth, Thessaloniki and Leipzig), along with the Potsdam Institute for Climate Impact Research (PIK) and TU Delft. Each partner city conducted a so-called demonstration study, which required defining ambitious packages of measures (mobility, land use, electrification) and forecasting changes in mobility by macroscopic transport modelling. PIK then analysed GHG emissions using its carbon model. This paper extends the demonstration studies into a case-study approach. This is preceded by an exercise in consistently structuring types of GHG and mobility performances and corresponding measures. The case-study approach is supplemented by a review of the literature on shared and micromobility. A conclusion drawn from the case study is that none of the partner cities is in fact sufficiently reducing GHG emissions. Even if electricity production was completely green, the remaining gap between GHG reduction aims and analysed GHG delivery lies between 30–81 %, dependent on the scenario and city. Shared and micromobility seem not to lead to strongly deviating conclusions. We discuss policies to close the gap. One major option discussed is tackling GHG emissions from urban freight, in forms such as organising public-private cooperation designed to accelerate the electrification of freight vehicles.", "keywords": [ "Greenhouse gas", "Order (exchange)", "Climate change", "Electricity", "Consumption (sociology)", "Land use", "Term (time)", "Production (economics)" ], "cited_by_openalex": 0, "cited_by_scopus": "0", "eid": "2-s2.0-105024005140", "pii": "S0305900625000790", "open_access_url": "https://doi.org/10.1016/j.progress.2025.101021", "sources": [ { "db": "openalex", "stream": "TRUCK", "query_id": "TRUCK-1" }, { "db": "scopus", "stream": "TRUCK", "query_id": "TRUCK-1" } ], "streams": [ "TRUCK" ], "relevance_signals": [ "TRUCK" ], "auto_exclude_reason": null, "screening_status": "pending_human_screening", "screened_by": "auto-v1.0.0" }, { "id": "doi:10.29119/1641-3466.2025.238.12", "doi": "10.29119/1641-3466.2025.238.12", "title": "Modelling the dispersion of pollutants from road transport in street canyons on the example of Szczecin and Oslo", "year": 2025, "authors": [ "Kinga Kijewska", "Milena Bojanowska", "Karolina Nadolska", "Wojciech Konicki" ], "first_author": "Kinga Kijewska", "venue": "Scientific Papers of Silesian University of Technology Organization and Management Series", "volume": null, "pages": null, "type": "article", "language": null, "abstract": "Purpose: Emissions of nitrogen dioxide (NO2) and carbon monoxide (CO) from road transport have a notable impact on everyday life of city dwellers, where traffic congestion is one of the major problems. These emissions have an adverse effect on air quality, human health, and climate change. The aim of this study is to present the possibility of applying the analytical Gaussian Plume Dispersion Model (GPDM) to determine the dispersion of air pollutants from freight transport in an urban area with the use of real data obtained from road traffic detectors. Design/methodology/approach: The pollutant dispersion was modelled for nitrogen dioxide NO2 and carbon monoxide CO. The study covered the streets of urban agglomerations located near two city centers: in Oslo (Norway) and in Szczecin (Poland). The chemical reactions between NO2/CO and oxygen were included in the model. Pollutant dispersion was modelled for a height of 2 meters. Findings: In terms of traffic intensity, the type of vehicles and their speed are the main factors influencing the maximum value of pollutants concentration, occurring along the traffic axis. Both the increase in the share of trucks and the reduction in speed have a negative impact, as they contribute to an increase in local pollution concentrations. It was found that higher wind speeds generally have a positive effect on the faster dispersion of undesirable gas compounds in the air. Practical implications: The proposed model may be used as a supporting tool when deciding on potential locations for further air quality monitoring stations managed by the city and environmental protection authorities. Social implications: The proposed modified Gaussian Plume Dispersion Model can be used as a fast-response system for identifying exceedances of permissible pollution standards in urban agglomeration areas which are highly exposed to transport pollution. Originality/value: In most similar publications, pollutant distribution is modelled at lower heights (reflecting to the emitter heights). Our study results aim to visualize the distribution of pollutants not in the critical plane parallel to the road, but in the “exposure” plane, particularly in relation to residents of those road segments, as well as pedestrians and workers. Keywords: Gaussian Plume Dispersion Model, pollution, dispersion, air quality, traffic, urban freight transport, sustainable development. Category of the paper: Research paper.", "keywords": [ "Pollutant", "Air pollution", "Air quality index", "Dispersion (optics)", "Plume", "Nitrogen dioxide", "AERMOD", "Atmospheric dispersion modeling", "Street canyon" ], "cited_by_openalex": 0, "cited_by_scopus": 0, "eid": null, "pii": null, "open_access_url": "https://doi.org/10.29119/1641-3466.2025.238.12", "sources": [ { "db": "openalex", "stream": "TRUCK", "query_id": "TRUCK-1" } ], "streams": [ "TRUCK" ], "relevance_signals": [ "TRUCK" ], "auto_exclude_reason": null, "screening_status": "pending_human_screening", "screened_by": "auto-v1.0.0" }, { "id": "doi:10.15488/18631", "doi": "10.15488/18631", "title": "Information systems and decision support for sustainable urban transport, energy systems, and emerging methods in research and practice", "year": 2025, "authors": [ "Maximilian Heumann" ], "first_author": "Maximilian Heumann", "venue": "Institutional Repository of Leibniz Universität Hannover (Leibniz Universität Hannover)", "volume": null, "pages": null, "type": "dissertation", "language": "en", "abstract": "The dissertation follows a multi-level research approach based on design science principles and integrates different methods to generate insights and develop decision support functions to promote sustainable urban development in the fields of mobility, energy and logistics. The approaches include spatial data analysis, optimization modelling, machine learning, text mining and the development of decision support systems (DSS). Some of the methods used are: Spatial data analysis and geographic information systems (GIS): These methods are used to analyze e-scooter usage patterns, determine the optimal placement of wind turbines, and study the factors that influence the adoption of residential solar systems. Optimization modeling: The dissertation presents optimization models to support strategic and operational decisions in different contexts. For example, optimization models are used to optimize the logistics chain for urban deliveries, support decision making for operators of aging wind turbines, and optimize a smart logistics concept for e-food operations. Data mining and supervised and unsupervised learning: Machine learning and data mining techniques are used to gain insights from unstructured data. For example, web content mining, natural language preocessing, and topic modeling is used to analyze causes of escooter accidents. Semantic analysis and topic modeling is applied to social media data and scientific articles to understand the perception and discourse on large language models such as ChatGPT. Also clustering and regression methods are applied on spatial data and taxonomy-based data. Delphi study: A Delphi study is conducted to gain expert knowledge and validate simulation results in the context of sustainable logistics scenarios. The core findings can be divided into three main thematic areas: Sustainable urban transportation and mobility: in the field of urban logistics, a decision support system (DSS) is developed to help decision makers evaluate and compare different urban logistics scenarios to enable informed and environmentally conscious decisions in the design of urban and rural logistics networks. This DSS quantifies the trade-offs between cost efficiency and sustainability, helping practitioners to manage the complexity of green logistics in urban and rural environments. • Evidence shows that establishing shared freight consolidation centers outside city centers with micro-depots near city cores can reduce truck traffic and fuel consumption. • Shared micromobility research shows spatiotemporal e-scooter usage patterns, accident causes, and factors affecting shared e-scooter, bicycle, and e-moped usage. Sustainable energy systems: The dissertation focuses on the management of wind turbines and residential solar systems. • GIS frameworks are created to support decision making for aging wind turbines, analyze economic viability and regulatory challenges. The results provide important insights for the end-of-funding analysis of wind power plants, whereby a prompt repowering one to two years after the end of a subsidy can generally be suggested. The factors influencing the adoption and pricing of residential solar systems in Germany are examined, revealing significant spatial solar system price differences in Germany and a significant positive relationship is between green voters and plug-in solar system adoption. Emerging technologies and methods in the IS domain: The dissertation also examines the applications of advanced methods and technologies in IS research and practice. • Taxonomy-based data clustering methods are investigated to gain insights providing guidelines for their application. • The social and scientific perception of large language models, especially generative, pre-trained, transformer-based chatbots, is analyzed uncovering potential areas for improvement providing guidance for future research and development in the field of conversational artificial intelligence. Encountered limitations highlight the importance of transparency in the assumptions, scalability, integration with existing IT infrastructures, and evaluation of DSS.", "keywords": [ "Decision support system", "Delphi method", "Geographic information system", "Cluster analysis", "Context (archaeology)", "Information system", "Sustainable development", "Big data", "Intelligent decision support system" ], "cited_by_openalex": 0, "cited_by_scopus": 0, "eid": null, "pii": null, "open_access_url": "https://repo.uni-hannover.de/handle/123456789/18775", "sources": [ { "db": "openalex", "stream": "TRUCK", "query_id": "TRUCK-1" }, { "db": "openalex", "stream": "TRUCK", "query_id": "TRUCK-3" } ], "streams": [ "TRUCK" ], "relevance_signals": [ "TRUCK" ], "auto_exclude_reason": null, "screening_status": "pending_human_screening", "screened_by": "auto-v1.0.0" }, { "id": "doi:10.2139/ssrn.5172825", "doi": "10.2139/ssrn.5172825", "title": "Incorporating Compatibility Constraints in the Vehicle Routing Problem for Urban Freight Operations", "year": 2025, "authors": [ "Cláudio Barbieri da Cunha", "Harol Mauricio Gámez Albán", "Christopher Mejía‐Argueta", "Cassiano Augusto Isler" ], "first_author": "Cláudio Barbieri da Cunha", "venue": "SSRN Electronic Journal", "volume": null, "pages": null, "type": "preprint", "language": "en", "abstract": null, "keywords": [ "Vehicle routing problem", "Compatibility (geochemistry)", "Transport engineering", "Computer science", "Traffic management", "Operations research", "Routing (electronic design automation)", "Business", "Engineering", "Computer network" ], "cited_by_openalex": 0, "cited_by_scopus": 0, "eid": null, "pii": null, "open_access_url": "https://doi.org/10.2139/ssrn.5172825", "sources": [ { "db": "openalex", "stream": "TRUCK", "query_id": "TRUCK-2" } ], "streams": [ "TRUCK" ], "relevance_signals": [ "NO_TECHNOLOGY_MATCH" ], "auto_exclude_reason": "EC-4-topic", "screening_status": "auto_excluded", "screened_by": "auto-v1.0.0" }, { "id": "doi:10.35629/3795-11041527", "doi": "10.35629/3795-11041527", "title": "Optimization of vehicle routing problems for cold chain logistics mixed fleet under low-carbon constraints", "year": 2025, "authors": [ "Huijie Peng Huijie Peng", "Wenying Zhuang" ], "first_author": "Huijie Peng Huijie Peng", "venue": "Journal of Software Engineering and Simulation", "volume": null, "pages": null, "type": "article", "language": "en", "abstract": "In the field of urban distribution, time-varying road network conditions are complex, customers' requirements for delivery time and freshness of goods are stringent, and the current situation of the coexistence of electric vehicles and fuel vehicles has brought new challenges and opportunities to logistics enterprises' distribution path optimization. Logistics enterprises need to optimize the distribution plan. This paper constructs a mixed fleet vehicle routing optimization model with multi factor considerations. Considering the key factors such as electric vehicle charging strategy, carbon emission cost and customer satisfaction, the minimum total distribution cost and the maximum customer satisfaction are the two objectives. In order to improve the efficiency and quality of the solution, this study designs and improves the NSGA-II algorithm, which integrates clustering, path rearrangement greedy strategy based on time window and cost optimization, and verifies the effectiveness of the improved NSGA-II algorithm through the numerical experiment of Solomon standard example, and makes a comparative analysis of the distribution schemes using mixed fleet and charging strategy, so as to help logistics enterprises determine the optimal charging strategy and distribution scheme.", "keywords": [ "Vehicle routing problem", "Cold chain", "Computer science", "Routing (electronic design automation)", "Chain (unit)", "Automotive engineering", "Mathematical optimization", "Operations research", "Engineering", "Mathematics", "Computer network", "Mechanical engineering" ], "cited_by_openalex": 0, "cited_by_scopus": 0, "eid": null, "pii": null, "open_access_url": "https://doi.org/10.35629/3795-11041527", "sources": [ { "db": "openalex", "stream": "TRUCK", "query_id": "TRUCK-2" } ], "streams": [ "TRUCK" ], "relevance_signals": [ "NO_TECHNOLOGY_MATCH" ], "auto_exclude_reason": "EC-4-topic", "screening_status": "auto_excluded", "screened_by": "auto-v1.0.0" }, { "id": "doi:10.9717/kmms.2025.28.1.046", "doi": "10.9717/kmms.2025.28.1.046", "title": "Optimization Model for Multi-depot Vehicle Routing Problem with Time Windows in Ho Chi Minh City", "year": 2025, "authors": [ "Quang-Hieu Dao", "Gyu-Sung Cho" ], "first_author": "Quang-Hieu Dao", "venue": "Journal of Korea Multimedia Society", "volume": null, "pages": null, "type": "article", "language": "en", "abstract": "In urban logistics within Southeast Asia, particularly in Ho Chi Minh City, motorcycles are vital for effective last-mile delivery, accounting for 75% of daily trips due to their adaptability to congested streets. This paper investigates a Multi-Depot Vehicle Routing Problem with Time Windows (MDVRPTW) specific to motorcycle logistics, addressing constraints such as multiple depot origins, customer-specific time windows, and limited vehicle capacities. An Ant Colony Optimization (ACO) algorithm, enhanced with a 3-opt local search, is proposed to optimize route efficiency, reduce travel distances, and ensure timely deliveries across complex urban routes. This ACO-3-opt model outperforms standard ACO by refining routes and minimizing total mileage, which lead to reducing the operational costs. Through an empirical study in Ho Chi Minh City, the algorithm demonstrates significant improvements in delivery efficiency, showcasing its potential to address the logistical demands of high-density urban environments. The findings provide insights into optimizing urban distribution networks, particularly for motorbikebased logistics in Southeast Asian megacities.", "keywords": [ "Ho chi minh", "Vehicle routing problem", "Depot", "Routing (electronic design automation)", "Computer science", "Geography", "Computer network", "Cartography" ], "cited_by_openalex": 0, "cited_by_scopus": 0, "eid": null, "pii": null, "open_access_url": "https://doi.org/10.9717/kmms.2025.28.1.046", "sources": [ { "db": "openalex", "stream": "TRUCK", "query_id": "TRUCK-2" } ], "streams": [ "TRUCK" ], "relevance_signals": [ "NO_TECHNOLOGY_MATCH" ], "auto_exclude_reason": "EC-4-topic", "screening_status": "auto_excluded", "screened_by": "auto-v1.0.0" }, { "id": "doi:10.1007/s10479-025-06822-2", "doi": "10.1007/s10479-025-06822-2", "title": "The grey zone two-echelon vehicle routing problem with customer-to-parcel locations and synchronization for last-mile deliveries", "year": 2025, "authors": [ "Siebenrok Odorczyk Ricardo", "Nacima Labadie", "P Arokya Mary Caroline" ], "first_author": "Siebenrok Odorczyk Ricardo", "venue": "Annals of Operations Research", "volume": "358", "pages": "705-750", "type": "article", "language": "en", "abstract": null, "keywords": [ "Vehicle routing problem", "Synchronization (alternating current)", "Routing (electronic design automation)", "Integer programming", "TRIPS architecture", "Population", "Software deployment", "Crossover", "Greedy algorithm" ], "cited_by_openalex": 0, "cited_by_scopus": "0", "eid": "2-s2.0-105020785626", "pii": null, "open_access_url": "https://doi.org/10.1007/s10479-025-06822-2", "sources": [ { "db": "openalex", "stream": "TRUCK", "query_id": "TRUCK-2" }, { "db": "scopus", "stream": "TRUCK", "query_id": "TRUCK-2" } ], "streams": [ "TRUCK" ], "relevance_signals": [ "NO_TECHNOLOGY_MATCH" ], "auto_exclude_reason": "EC-4-topic", "screening_status": "auto_excluded", "screened_by": "auto-v1.0.0" }, { "id": "doi:10.1109/access.2025.3565924", "doi": "10.1109/access.2025.3565924", "title": "Research on Vehicle Route Optimization for Half-Open Multi-Energy Urban Distribution Considering Order Priority", "year": 2025, "authors": [ "Mingxuan Zhang" ], "first_author": "Mingxuan Zhang", "venue": "IEEE Access", "volume": "13", "pages": "79007-79029", "type": "article", "language": "en", "abstract": "Aiming at the current problems of increasingly serious tailpipe pollution of urban distribution vehicles and irrational distribution route planning, we construct a fuel-electric hybrid multi-trip multi-center half-open joint distribution vehicle routing optimization model (F-EHOMTMDVRPOPTW) considering order priority and fuzzy time window, and introduce Tent chaotic mapping combined with an improved discrete sparrow search algorithm (DSSA) with stochastic key encoding strategy for solving. Based on the traditional fuel VRP, new energy vehicles are added to form a multi-energy vehicle formation. Considering the order priority and customer time window in the context of urban distribution with non-new energy vehicle restriction, and constructing a distribution model for minimizing the total cost with the transportation cost, charging cost of new energy vehicles, carbon emission and fuel consumption cost, and penalty cost for violating the time window. On the basis of the sparrow search algorithm, Tent chaotic mapping is added and random key coding strategy is inserted for discretization, which increases the diversity of the initial population of the sparrow search algorithm and improves the algorithm’s global optimization seeking ability. Finally, the algorithms and models are analyzed in simulation experiments using benchmark test functions and arithmetic examples to verify the reasonableness of the models and the effectiveness of the algorithms, which provides theoretical basis for urban distribution and utilization of energy.", "keywords": [ "Computer science", "Order (exchange)", "Distribution (mathematics)", "Energy (signal processing)", "Mathematical optimization", "Mathematics", "Statistics", "Business" ], "cited_by_openalex": 0, "cited_by_scopus": "0", "eid": "2-s2.0-105004059890", "pii": null, "open_access_url": "https://doi.org/10.1109/access.2025.3565924", "sources": [ { "db": "openalex", "stream": "TRUCK", "query_id": "TRUCK-2" }, { "db": "scopus", "stream": "TRUCK", "query_id": "TRUCK-2" } ], "streams": [ "TRUCK" ], "relevance_signals": [ "NO_TECHNOLOGY_MATCH" ], "auto_exclude_reason": "EC-4-topic", "screening_status": "auto_excluded", "screened_by": "auto-v1.0.0" }, { "id": "title:last mile delivery in city logistics under route duration penalties", "doi": null, "title": "Last Mile Delivery in City Logistics Under Route Duration Penalties", "year": 2025, "authors": [ "Burak Koksal", "Ayse Akbalik", "Simon Belieres", "Nicolas Jozefowiez", "Anass Nagih" ], "first_author": "Burak Koksal", "venue": "HAL (Le Centre pour la Communication Scientifique Directe)", "volume": null, "pages": null, "type": "conference-paper", "language": "en", "abstract": "International audience", "keywords": [ "Duration (music)", "Mile", "Last mile (transportation)", "Work (physics)" ], "cited_by_openalex": 0, "cited_by_scopus": 0, "eid": null, "pii": null, "open_access_url": "https://hal.science/hal-05512524", "sources": [ { "db": "openalex", "stream": "TRUCK", "query_id": "TRUCK-2" } ], "streams": [ "TRUCK" ], "relevance_signals": [ "NO_TECHNOLOGY_MATCH" ], "auto_exclude_reason": "EC-4-topic", "screening_status": "auto_excluded", "screened_by": "auto-v1.0.0" }, { "id": "doi:10.1504/ijor.2025.10075016", "doi": "10.1504/ijor.2025.10075016", "title": "Heuristic for Multi-Workday Urban Delivery Routing with Post-Routing Ergonomic Workforce Scheduling Problem", "year": 2025, "authors": [ "Tarit Rattanamanee", "Suebsak Nanthavanij", "Aussadavut Dumrongsiri" ], "first_author": "Tarit Rattanamanee", "venue": "International Journal of Operational Research", "volume": null, "pages": null, "type": "article", "language": "en", "abstract": "Inderscience is a global company, a dynamic leading independent journal publisher disseminates the latest research across the broad fields of science, engineering and technology; management, public and business administration; environment, ecological economics and sustainable development; computing, ICT and internet/web services, and related areas.", "keywords": [ "Scheduling (production processes)", "Workforce", "Heuristic", "Routing (electronic design automation)", "Job shop scheduling", "Vehicle routing problem", "Workforce planning" ], "cited_by_openalex": 0, "cited_by_scopus": 0, "eid": null, "pii": null, "open_access_url": "https://doi.org/10.1504/ijor.2025.10075016", "sources": [ { "db": "openalex", "stream": "TRUCK", "query_id": "TRUCK-2" } ], "streams": [ "TRUCK" ], "relevance_signals": [ "NO_TECHNOLOGY_MATCH" ], "auto_exclude_reason": "EC-4-topic", "screening_status": "auto_excluded", "screened_by": "auto-v1.0.0" }, { "id": "doi:10.25236/ajcis.2025.080914", "doi": "10.25236/ajcis.2025.080914", "title": "Real-Time Adaptive Dispatch Algorithm for Dynamic Vehicle Routing with Time-Varying Demand", "year": 2025, "authors": [ "Sichong Huang
Sichong Huang
Hongxin Tan1, Yuejian Xu1, Xiaolin Li2, Shengcheng Zhou3, Shuqiang Liu3
" ], "first_author": "Hongxin Tan1, Yuejian Xu1, Xiaolin Li2, Shengcheng Zhou3, Shuqiang Liu3
", "venue": "Academic Journal of Engineering and Technology Science", "volume": null, "pages": null, "type": "article", "language": "en", "abstract": "The capability of fuel support is fundamental to enhancing airport transportation capacity. This paper comprehensively evaluates various factors including the number of fuel depots situated between the airport and its surrounding supply points, the distances involved, and the transport capacities of the fuel trucks. Initially, we develop an airport fuel supply support capability model incorporating nine key variables. Subsequently, a genetic algorithm is devised to optimize the overall number of transport vehicles required. Furthermore, a computational and simulation system tailored for airport fuel support is both established and validated through rigorous calculations and simulations. The findings demonstrate that the proposed model can effectively and dynamically compute the necessary transport capacity in real-time, responsive to the prevailing fuel consumption patterns, thereby affirming the practicality and utility of paper research.", "keywords": [ "Computer science", "Operations research", "Engineering" ], "cited_by_openalex": 0, "cited_by_scopus": 0, "eid": null, "pii": null, "open_access_url": "http://francis-press.com/uploads/papers/J05rY3f4TjjBppdlFXetNsvTLMajLfm41dA5ewQV.pdf", "sources": [ { "db": "openalex", "stream": "TRUCK", "query_id": "TRUCK-3" } ], "streams": [ "TRUCK" ], "relevance_signals": [ "TRUCK_NO_CTX" ], "auto_exclude_reason": "EC-4-topic", "screening_status": "auto_excluded", "screened_by": "auto-v1.0.0" }, { "id": "doi:10.1002/9781394172290.ch13", "doi": "10.1002/9781394172290.ch13", "title": "Hydrogen Transportation and Transmission", "year": 2024, "authors": [ "Vincent J. DelGatto", "Louis Theodore", "R. Ryan Dupont", "Matthew C. Ogwu" ], "first_author": "Vincent J. DelGatto", "venue": "Hydrogen Energy Principles and Applications", "volume": null, "pages": "213-228", "type": "other", "language": "en", "abstract": "This chapter discusses four primary modes of U.S. hydrogen transportation and transmission: motor carrier, rail, pipeline, and vessel. The traditional transportation system in the United States is an extensive, interrelated public/private network of roads, airports, railroads, transit routes, waterways, terminals, ports, and pipelines. The traditional transportation industry discussed includes four different modes: air, rail, water, and road. Hydrogen transportation issues are directly related to hydrogen storage issues. In general, compact forms of hydrogen storage are more economical to transport, and diffuse forms are more costly. Mobile transport includes transport by truck, rail, or barge. The hydrogen being transported is stored in tanks appropriate to hydrogen storage method and transport medium. One option for providing clean hydrogen at filling stations and dispersed depots is the on-site generation of the gas by electrolysis. On-site manufacture of hydrogen sidesteps the issue of transporting it.", "keywords": [ "Transmission (telecommunications)", "Environmental science", "Transport engineering", "Computer science", "Business", "Telecommunications", "Engineering" ], "cited_by_openalex": 0, "cited_by_scopus": "0", "eid": "2-s2.0-85216265112", "pii": null, "open_access_url": "https://onlinelibrary.wiley.com/doi/pdfdirect/10.1002/9781394172290.ch13", "sources": [ { "db": "openalex", "stream": "TRUCK", "query_id": "TRUCK-3" }, { "db": "scopus", "stream": "TRUCK", "query_id": "TRUCK-3" } ], "streams": [ "TRUCK" ], "relevance_signals": [ "TRUCK_NO_CTX" ], "auto_exclude_reason": "EC-4-topic", "screening_status": "auto_excluded", "screened_by": "auto-v1.0.0" }, { "id": "doi:10.48550/arxiv.2405.18566", "doi": "10.48550/arxiv.2405.18566", "title": "A faster heuristic for the Traveling Salesman Problem with Drone", "year": 2024, "authors": [ "Pedro Henrique Del Bianco Hokama", "Carla Négri Lintzmayer", "Mário César San Felice" ], "first_author": "Pedro Henrique Del Bianco Hokama", "venue": "arXiv (Cornell University)", "volume": null, "pages": null, "type": "preprint", "language": "en", "abstract": "Given a set of customers, the Flying Sidekick Traveling Salesman Problem (FSTSP) consists of using one truck and one drone to perform deliveries to them. The drone is limited to delivering to one customer at a time, after which it returns to the truck, from where it can be launched again. The goal is to minimize the time required to service all customers and return both vehicles to the depot. In the literature, we can find heuristics for this problem that follow the order-first split-second approach: find a Hamiltonian cycle h with all customers, and then remove some customers to be handled by the drone while deciding from where the drone will be launched and where it will be retrieved. Indeed, they optimally solve the h-FSTSP, which is a variation that consists of solving the FSTSP while respecting a given initial cycle h. We present the Lazy Drone Property, which guarantees that only some combinations of nodes for launch and retrieval of the drone need to be considered by algorithms for the h-FSTSP. We also present an algorithm that uses the property, and we show experimental results which corroborate its effectiveness in decreasing the running time of such algorithms. Our algorithm was shown to be more than 84 times faster than the previously best-known ones over the literature benchmark. Moreover, on average, it considered a number of launch and retrieval pairs that is linear on the number of customers, indicating that the algorithm's performance should be sustainable for larger instances.", "keywords": [ "Travelling salesman problem", "Drone", "Heuristic", "Traveling purchaser problem", "Computer science", "Mathematical optimization", "2-opt", "Lin–Kernighan heuristic", "Mathematics", "Artificial intelligence", "Biology", "Algorithm" ], "cited_by_openalex": 0, "cited_by_scopus": 0, "eid": null, "pii": null, "open_access_url": "https://arxiv.org/pdf/2405.18566", "sources": [ { "db": "openalex", "stream": "TRUCK", "query_id": "TRUCK-3" } ], "streams": [ "TRUCK" ], "relevance_signals": [ "UAV_NO_CTX", "TRUCK_NO_CTX" ], "auto_exclude_reason": "EC-4-topic", "screening_status": "auto_excluded", "screened_by": "auto-v1.0.0" }, { "id": "doi:10.58192/sidu.v3i3.2462", "doi": "10.58192/sidu.v3i3.2462", "title": "Analisis Kendala Pelayanan Jasa Bongkar Muat Peti Kemas Terhadap Kelancaran Operasional pada Perusahaan Ekspedisi Muatan Kapal Laut", "year": 2024, "authors": [ "Mochammad Riyan Havidzi", "Bugi Nugraha", "Akhmad Kasan Gupron" ], "first_author": "Mochammad Riyan Havidzi", "venue": "Sinar Dunia Jurnal Riset Sosial Humaniora dan Ilmu Pendidikan", "volume": null, "pages": null, "type": "article", "language": "en", "abstract": "Container services are services related to the use of containers or containers in the process of shipping goods. The container itself is a special container used to pack and transport goods efficiently, especially in trade. In the process of putting goods or stuffing goods that are packaged in the form of pallets, metal boxes and bulk. The process to enter a 20-foot or 40-foot container is determined by the number of buyer requests. The author chose qualitative descriptive research because this research is in accordance with the nature of the author's research which is descriptive and uses interview techniques, documentation, and others. In addition, this research is also in accordance with the practical research objectives. Mistakes in container stock management can have a devastating impact on the company, such as damage to goods, additional costs, and a tarnished reputation. To improve container loading and unloading services, companies need to improve communication, employee training, truck checks, forklift maintenance, and collaboration with service users. The process of shipping goods through the port involves various stages and parties such as consignees, suppliers, shippers, and field executives. The results of the study can be found that the process of container loading and unloading services in expedition companies experiences various obstacles, such as late truck drivers, delays in sending documents, shortage of containers, damage to container moving equipment at the depot, delays in the start of working hours, and too many containers that do not comply with the specifications by the exporter.", "keywords": [ "Business administration", "Mathematics", "Business" ], "cited_by_openalex": 0, "cited_by_scopus": 0, "eid": null, "pii": null, "open_access_url": "http://dx.doi.org/10.58192/sidu.v3i3.2462", "sources": [ { "db": "openalex", "stream": "TRUCK", "query_id": "TRUCK-3" } ], "streams": [ "TRUCK" ], "relevance_signals": [ "TRUCK_NO_CTX" ], "auto_exclude_reason": "EC-4-topic", "screening_status": "auto_excluded", "screened_by": "auto-v1.0.0" }, { "id": "doi:10.46254/an14.20240051", "doi": "10.46254/an14.20240051", "title": "Electric Vehicle Routing Problem with On-Demand Charging System", "year": 2024, "authors": [ "Mir Ehsan Hesam Sadati", "Bülent Çatay" ], "first_author": "Mir Ehsan Hesam Sadati", "venue": null, "volume": null, "pages": null, "type": "conference-paper", "language": "en", "abstract": "Many logistics operators predominantly rely on diesel-powered vehicles for their delivery services. However, the adverse external effects of internal combustion engine vehicles have led governments and city authorities to enact more stringent regulations governing freight transportation within urban areas. These initiatives promote the transition to alternative fuel vehicles, with a primary focus on electric vehicles (EVs). Consequently, it is anticipated that EVs will make up a substantial portion of logistics operators' vehicle fleets. Inadequate charging infrastructure has been a significant impediment to the widespread adoption of EVs. Charging at the depot is a practical solution in real-world logistics operations due to limited recharging infrastructure in many regions and the uncertainty surrounding charger availability. While there may be numerous public recharging stations in the area, not all are suitable for commercial vehicles, especially trucks. Furthermore, some companies prefer charging their EVs at their depots due to factors like high energy costs at public stations. Nevertheless, this approach can result in operational inefficiencies, especially for deliveries in peri-urban and rural areas. To address this, offering charging services for EVs, such as deploying mobile chargers (MCs), can enhance the efficiency of EV usage. In other words, a flexible recharging system with an on-demand mobile charging approach can be recommended. We introduce the Electric Vehicle Routing Problem with On-Demand Charging System to tackle these challenges. MCs recharge EV batteries at customer locations along their routes when necessary. We have developed a matheuristic algorithm that combines the variable neighborhood search (VNS) and an exact method.", "keywords": [ "Computer science", "Electric vehicle", "Vehicle routing problem", "Routing (electronic design automation)", "Automotive engineering", "Computer network", "Engineering", "Power (physics)" ], "cited_by_openalex": 0, "cited_by_scopus": 0, "eid": null, "pii": null, "open_access_url": "https://ieomsociety.org/proceedings/2024dubai/51.pdf", "sources": [ { "db": "openalex", "stream": "TRUCK", "query_id": "TRUCK-3" } ], "streams": [ "TRUCK" ], "relevance_signals": [ "TRUCK_NO_CTX" ], "auto_exclude_reason": "EC-4-topic", "screening_status": "auto_excluded", "screened_by": "auto-v1.0.0" }, { "id": "doi:10.9734/jerr/2024/v26i31104", "doi": "10.9734/jerr/2024/v26i31104", "title": "The Application of Mathematical Modelling to Optimize Steel Reinforcement Shipping Cost for Construction Projects by Julius Berger", "year": 2024, "authors": [ "Kenneth Miebaka Oba" ], "first_author": "Kenneth Miebaka Oba", "venue": "Journal of Engineering Research and Reports", "volume": null, "pages": null, "type": "article", "language": "en", "abstract": "The problem of transporting steel reinforcement for construction purposes has always been eminent in construction projects. In this study, the transportation model was applied while shipping steel reinforcement from three supply locations to three construction sites owned by Julius Berger construction limited, in the city of Port Harcourt. The study was done for 100-ton truck load of steel reinforcement bars with standard 12m lengths and diameters 8mm to 40mm. This was from the three selected steel depots in Port Harcourt. The costs of transporting the steel reinforcement bars were analyzed using the basic steps of simplex algorithm for solving transportation problems. The initial and optimum feasible solutions were obtained. The Stepping Stone method was used for the optimum solution after three consecutive iterations, which amounted to $3,813 or (₦2,897,880 as of March 2023). The result was compared with that obtained from Microsoft Excel solver. There was no difference between the two results.", "keywords": [ "Reinforcement", "Construction engineering", "Computer science", "Engineering", "Operations research", "Structural engineering" ], "cited_by_openalex": 0, "cited_by_scopus": 0, "eid": null, "pii": null, "open_access_url": "https://journaljerr.com/index.php/JERR/article/download/1104/2194", "sources": [ { "db": "openalex", "stream": "TRUCK", "query_id": "TRUCK-3" } ], "streams": [ "TRUCK" ], "relevance_signals": [ "TRUCK_NO_CTX" ], "auto_exclude_reason": "EC-4-topic", "screening_status": "auto_excluded", "screened_by": "auto-v1.0.0" }, { "id": "doi:10.2139/ssrn.4924995", "doi": "10.2139/ssrn.4924995", "title": "Enhancing Regional Trade Integration: Smart Infrastructure based on the Physical Internet to Boost Cross-Border Throughput", "year": 2024, "authors": [ "Miguel Gastón Cedillo‐Campos", "Éric Ballot", "Daniel Covarrubias" ], "first_author": "Miguel Gastón Cedillo‐Campos", "venue": "SSRN Electronic Journal", "volume": null, "pages": null, "type": "preprint", "language": "en", "abstract": null, "keywords": [ "Throughput", "The Internet", "Internet of Things", "Computer science", "Business", "Computer network", "Telecommunications", "Computer security", "World Wide Web", "Wireless" ], "cited_by_openalex": 0, "cited_by_scopus": 0, "eid": null, "pii": null, "open_access_url": "http://dx.doi.org/10.2139/ssrn.4924995", "sources": [ { "db": "openalex", "stream": "TRUCK", "query_id": "TRUCK-3" } ], "streams": [ "TRUCK" ], "relevance_signals": [ "NO_TECHNOLOGY_MATCH" ], "auto_exclude_reason": "EC-4-topic", "screening_status": "auto_excluded", "screened_by": "auto-v1.0.0" }, { "id": "doi:10.2139/ssrn.4912357", "doi": "10.2139/ssrn.4912357", "title": "The Min Max Multi-Trip Drone Location Arc Routing Problem", "year": 2024, "authors": [ "Teresa Corberán", "Isaac Plana", "José María Sanchis" ], "first_author": "Teresa Corberán", "venue": "SSRN Electronic Journal", "volume": null, "pages": null, "type": "preprint", "language": "en", "abstract": null, "keywords": [ "Arc routing", "Drone", "Routing (electronic design automation)", "Arc (geometry)", "Computer science", "Computer network", "Engineering", "Mechanical engineering" ], "cited_by_openalex": 0, "cited_by_scopus": 0, "eid": null, "pii": null, "open_access_url": "http://dx.doi.org/10.2139/ssrn.4912357", "sources": [ { "db": "openalex", "stream": "TRUCK", "query_id": "TRUCK-3" }, { "db": "openalex", "stream": "UAV", "query_id": "UAV-2" } ], "streams": [ "TRUCK", "UAV" ], "relevance_signals": [ "UAV_NO_CTX" ], "auto_exclude_reason": "EC-4-topic", "screening_status": "auto_excluded", "screened_by": "auto-v1.0.0" }, { "id": "doi:10.5592/co/cetra.2024.1714", "doi": "10.5592/co/cetra.2024.1714", "title": "Simulating the processes of goods delivering by cargo bicycles", "year": 2024, "authors": [ "Hanna Vasiutina", "Vitalii Naumov" ], "first_author": "Hanna Vasiutina", "venue": "Road and rail infrastructure", "volume": null, "pages": null, "type": "conference-paper", "language": "en", "abstract": "Cargo bikes offer an attractive solution for eco-friendly deliveries in modern cities. By replacing conventional trucks, they can significantly reduce traffic congestion and reclaim public space. This translates to cleaner air, less noise pollution, and an overall improved quality of life for city residents. However, the benefits of cargo bikes may not be readily apparent to decision-makers who rely on traditional transportation methods. This paper proposes a novel, data-driven methodology to evaluate the clear advantages of cargo bike deliveries. We present a computer simulation model that assesses the effectiveness of cargo bikes compared to standard delivery practices. The model incorporates key factors such as a city’s existing road network, the geographical distribution of delivery demands, and the operational capabilities of cargo bikes. To demonstrate the model’s utility, we present a real-world case study simulating cargo deliveries within Dubrovnik’s historic Old Town district. This Python-based model can be a powerful tool for decision-makers, allowing them to optimize cargo bike operations. Applications include identifying ideal locations for loading points and determining the optimal number of cargo bikes required for efficient deliveries within a specific urban environment. This approach provides a clear picture of the positive impact cargo bikes can have on urban deliveries, empowering decision-makers with the information they need to implement sustainable and efficient transportation solutions for their cities.", "keywords": [ "Computer science", "Transport engineering", "Business", "Engineering" ], "cited_by_openalex": 0, "cited_by_scopus": 0, "eid": null, "pii": null, "open_access_url": "https://doi.org/10.5592/co/cetra.2024.1714", "sources": [ { "db": "openalex", "stream": "TRUCK", "query_id": "TRUCK-3" } ], "streams": [ "TRUCK" ], "relevance_signals": [ "TRUCK" ], "auto_exclude_reason": null, "screening_status": "pending_human_screening", "screened_by": "auto-v1.0.0" }, { "id": "doi:10.1007/978-3-031-64769-7_17", "doi": "10.1007/978-3-031-64769-7_17", "title": "Intelligent Transportation System Solutions in Disadvantaged Communities", "year": 2024, "authors": [ "Matthew Barth", "Kanok Boriboonsomsin", "Guoyuan Wu", "Peng Hao" ], "first_author": "Matthew Barth", "venue": "Springer tracts on transportation and traffic", "volume": "21", "pages": "435-466", "type": "book-chapter", "language": "en", "abstract": null, "keywords": [ "Disadvantaged", "Intelligent transportation system", "Geography", "Computer science", "Transport engineering", "Engineering", "Economic growth", "Economics" ], "cited_by_openalex": 0, "cited_by_scopus": "0", "eid": "2-s2.0-85214007203", "pii": null, "open_access_url": "https://doi.org/10.1007/978-3-031-64769-7_17", "sources": [ { "db": "openalex", "stream": "TRUCK", "query_id": "TRUCK-3" }, { "db": "scopus", "stream": "TRUCK", "query_id": "TRUCK-3" } ], "streams": [ "TRUCK" ], "relevance_signals": [ "NO_TECHNOLOGY_MATCH" ], "auto_exclude_reason": "EC-4-topic", "screening_status": "auto_excluded", "screened_by": "auto-v1.0.0" }, { "id": "doi:10.32585/japti.v5i1.5129", "doi": "10.32585/japti.v5i1.5129", "title": "Optimasi Rute Distribusi Pengiriman Bahan Bakar Minyak Dengan Capacitated Vehicle Routing Problem", "year": 2024, "authors": [ "Sri Hartanti" ], "first_author": "Sri Hartanti", "venue": "Jurnal Aplikasi Ilmu Teknik Industri (JAPTI)", "volume": null, "pages": null, "type": "article", "language": "id", "abstract": "Bahan Bakar Minyak (BBM) menjadi salah satu kebutuhan sehari-hari yang harus terpenuhi sebab digunakan untuk kepentingan transportasi. Adanya peningkatan jumlah kendaraan bermotor mengakibatkan kenaikan permintaan Bahan Bakar Minyak (BBM), salah satunya di Kabupaten XYZ. Kelancaran distribusi menjadi salah kunci ketersediaan kapasitas Bahan Bakar Minyak (BBM) di Stasiun Pengisian Bahan Bakar Umum (SPBU). Banyaknya titik Stasiun Pengisian Bahan Bakar Umum (SPBU) yang harus dikunjungi menimbulkan waktu tempuh total pengiriman menjadi lebih lama. Maka perlu membuat rute yang optimal agar meminimalkan total jarak tempuh. Kelancaran dan ketepatan waktu pengiriman ini dipengaruhi oleh rute dan jarak tempuh. Tujuan penelitian ini adalah menyelesaikan permasalahan Capacitated Vehicle Routing Problem (CVRP) untuk penentuan rute distribusi BBM agar dapat meminimalkan total jarak tempuh Tanker Truck, menggunakan software Python. Asumsi dan Batasan penelitian ini diantaranya, jumlah permintaan yang berbeda di setiap titik Stasiun Pengisian Bahan Bakar Umum (SPBU), jumlah depot, dalam hal ini Terminal Bahan Bakar Minyak (TBBM) Pertamina berjumlah 1, dan titik Stasiun Pengisian Bahan Bakar Umum (SPBU) yang akan dituju disesuaikan dengan node yang tersedia pada openstreetmap. Rute yang dihasilkan merupakan rute optimal yang dapat dilalui dari Pertamina ke titik-titik SPBU di Kabupaten XYZ. Total jarak yang tempuh terpendek yang dapat dilalui oleh Tanker Truck adalah 62.912m atau sejauh 62,9km dengan membawa BBM sebesar 31.000liter untuk 7 titik SPBU tersebut", "keywords": [ "Vehicle routing problem", "Mathematics", "Computer science", "Computer network", "Routing (electronic design automation)" ], "cited_by_openalex": 0, "cited_by_scopus": 0, "eid": null, "pii": null, "open_access_url": "https://journal.univetbantara.ac.id/index.php/japti/article/download/5129/pdf", "sources": [ { "db": "openalex", "stream": "TRUCK", "query_id": "TRUCK-3" } ], "streams": [ "TRUCK" ], "relevance_signals": [ "TRUCK_NO_CTX" ], "auto_exclude_reason": "EC-4", "screening_status": "auto_excluded", "screened_by": "auto-v1.0.0" }, { "id": "doi:10.23887/jstundiksha.v12i3.67809", "doi": "10.23887/jstundiksha.v12i3.67809", "title": "Vehicle Routing Problem as a Solution for Determining Goods Delivery Routes PT. Kreasi Beton Nusa Persada", "year": 2024, "authors": [ "Dedy Juliandri Panjaitan", "Rima Aprilia", "Sarifah Anjeli" ], "first_author": "Dedy Juliandri Panjaitan", "venue": "JST (Jurnal Sains dan Teknologi)", "volume": null, "pages": null, "type": "article", "language": "en", "abstract": "VRP distributions have had difficulty overcoming the problem of finding channels with minimal depots to locations that have different places with different total demand. The purpose of this study is to analyze the problem of transportation routes in the distribution of products obtained from the initial location of distribution to users. This type of research is qualitative research. This research was conducted at PT. Nusa Persada Concrete Creations. The Nearest Neighbor method is used to determine the distribution of routes. The Local Search method is carried out to evaluate and improve the distribution of routes carried out at the beginning with the Nearest Neighbors method. The data analysis process consists of several stages with the Nearest Neighbor method and the LocalSearch method. The results of the study, namely the Model Vehicle Routing Problem (VRP) applied in determining ready mix delivery routes at PT. Nusapersada Concrete Creation using nearest and local neighbor methods. Vehicle Routing Problem (VRP) models using nearest and local neighbor methods can be used applied in determining ready mix delivery routes to limited companies. Nusapersada Concrete Creations. This makes distance and time more effective, as well as more cost efficient. New routes generated This is a route improvement solution that PT. The application of the Nusapersada Concrete Creations model results in a new route that reduces the distance closer, faster completion time, and fuel cost savings for truck vehicles compared to the initial route. This makes distance and time more effective, as well as more cost efficient.", "keywords": [ "Computer science", "Business" ], "cited_by_openalex": 0, "cited_by_scopus": 0, "eid": null, "pii": null, "open_access_url": "http://dx.doi.org/10.23887/jstundiksha.v12i3.67809", "sources": [ { "db": "openalex", "stream": "TRUCK", "query_id": "TRUCK-3" } ], "streams": [ "TRUCK" ], "relevance_signals": [ "TRUCK_NO_CTX" ], "auto_exclude_reason": "EC-4-topic", "screening_status": "auto_excluded", "screened_by": "auto-v1.0.0" }, { "id": "doi:10.2172/2562140", "doi": "10.2172/2562140", "title": "National Zero-Emission Freight Corridor Strategy", "year": 2024, "authors": [ "USDOE Office of Energy Efficiency and Renewable Energy (EERE), Office of Sustainable Transportation and Fuels. Joint Office of Energy & Transportation (JOET)", "Kevin R. Miller", "USDOE", "Kang-Ching Chu", "Alex Schroeder", "Alycia Gilde", "Michael Laughlin" ], "first_author": "USDOE Office of Energy Efficiency and Renewable Energy (EERE), Office of Sustainable Transportation and Fuels. Joint Office of Energy & Transportation (JOET)", "venue": null, "volume": null, "pages": null, "type": "report", "language": "en", "abstract": "The United States has committed to decarbonizing freight transportation by advancing the deployment of commercial zero-emission medium- and heavy-duty vehicles (ZEMHDVs) and infrastructure. It is pursuing this goal by leveraging historic federal and private investments, policies, and partnerships. Through the U.S. National Blueprint for Transportation Decarbonization1 and the Global Memorandum of Understanding for Zero-Emission Medium- and Heavy-Duty Vehicles,2 the United States has committed to identifying viable pathways and implementation actions that promote at least 30% ZE-MHDV sales by 2030, with a goal of 100% by 2040. These actions, along with the investments laid out in the Bipartisan Infrastructure Law and Inflation Reduction Act, put the nation on a path to advancing transportation and infrastructure solutions that are better for freight movement, our communities, the environment, and the economy. Providing ubiquitous and convenient access to electric vehicle (EV) charging and hydrogen refueling along our nation’s freight corridors, and at truck depots within freight hubs, is key to successfully deploying ZE-MHDVs. Consistent with its charge in the Bipartisan Infrastructure Law, 3 the Joint Office of Energy and Transportation (Joint Office), in collaboration with the U.S. Department of Energy (DOE), Department of Transportation, and the Environmental Protection Agency, has developed the National Zero-Emission Freight Corridor Strategy (Strategy). The Strategy guides infrastructure deployment to meet growing market demands; catalyze public and private investment; and support utility and regulatory planning and action at local, state, and regional levels. This Strategy lays out an all-of-government approach to aligning investments and accelerating sustainable and scalable deployment of reliable ZE-MHDV infrastructure", "keywords": [ "Zero emission", "Zero (linguistics)", "Business", "Transport engineering", "Engineering", "Waste management", "Linguistics" ], "cited_by_openalex": 0, "cited_by_scopus": 0, "eid": null, "pii": null, "open_access_url": "https://www.osti.gov/servlets/purl/2562140", "sources": [ { "db": "openalex", "stream": "TRUCK", "query_id": "TRUCK-3" } ], "streams": [ "TRUCK" ], "relevance_signals": [ "TRUCK_NO_CTX" ], "auto_exclude_reason": "EC-4-topic", "screening_status": "auto_excluded", "screened_by": "auto-v1.0.0" }, { "id": "doi:10.59603/ppiman.v2i3.581", "doi": "10.59603/ppiman.v2i3.581", "title": "Transportation Process Of Container Goods From Container Freight Station To Container Yard at Port Of PT. Elang Sriwijaya Perkasa Palembang", "year": 2024, "authors": [ "Gabriel Ferdinand Sitompul", "Meriah Kita Deliana", "Fadiyah Hani Sabila" ], "first_author": "Gabriel Ferdinand Sitompul", "venue": "PPIMAN Pusat Publikasi Ilmu Manajemen", "volume": null, "pages": null, "type": "article", "language": "en", "abstract": "Goods transportation is a medium and means of moving goods to their destination using the means of transport, and the unloading/unloading of the means of transport, whether carrying passengers or goods. The parties involved in transportation, one of which is sea cargo expedition (EMKL), is the business of handling documents and cargo that will be transported by ship or cargo that originates from ships that are transported and brought from the port container yard (CY) to the unloading warehouse/containeir freight station ( CFS) or carrying goods via container from the loading/freight container warehouse station (CFS) kei container yard (CY) port, PT. Elang Sriwijaya Perkasa Palembang is one of the companies that operates in the field of EIMKL (Sea Freight Transport Services) providing cargo transportation services, providing services for transporting goods via containers as well as loading and unloading. For this reason, the Sea Freight Shipping Company (EIMKL) is responsible for the safety of goods, delays in the arrival of goods, damage and loss of goods transported by trucks when they are transported out of the port container yard (CY), except for damage caused by the sender. on the item itself caused by several factors, whether weather, circumstances or when carrying out activities of stuffing or stripping goods into containers at the loading warehouse/containeir freight station (CFS). In this paper, the writing methods used are literature research and observational research at the source by carrying out activities in the field during field practice at PT. Elang Sriwijaya Perkasa Palembang and related agencies such as warehouses for loading stuffing goods, warehouses for unloading stripping goods, and container stacking yards/depots.", "keywords": [ "Container (type theory)", "Yard", "Business", "Port (circuit theory)", "Engineering", "Physics" ], "cited_by_openalex": 0, "cited_by_scopus": 0, "eid": null, "pii": null, "open_access_url": "https://ejournal-nipamof.id/index.php/PPIMAN/article/download/581/718", "sources": [ { "db": "openalex", "stream": "TRUCK", "query_id": "TRUCK-3" } ], "streams": [ "TRUCK" ], "relevance_signals": [ "TRUCK_NO_CTX" ], "auto_exclude_reason": "EC-4-topic", "screening_status": "auto_excluded", "screened_by": "auto-v1.0.0" }, { "id": "doi:10.47065/josyc.v5i2.4916", "doi": "10.47065/josyc.v5i2.4916", "title": "Penerapan Algoritma Artificial Neural Network dan Economic Order Quantity dalam Memprediksi Persediaan Pengendalian BBM", "year": 2024, "authors": [ "Walid Alma Ula", "M Afdal", "Zarnelly Zarnelly", "Inggih Permana" ], "first_author": "Walid Alma Ula", "venue": "Journal of Computer System and Informatics (JoSYC)", "volume": null, "pages": null, "type": "article", "language": "en", "abstract": "Motor vehicle production in Indonesia increases every year along with increasing demand for fuel as a raw material. Generally, gas stations carry out the process of ordering fuel from Dempo on an irregular basis, the frequency of orders does not have a certain time, orders depend on sales transactions and the amount of fuel inventory available depends on the fuel in storage. Regarding prediction and control of fuel supplies, the risk at gas stations is that the volume of fuel received is different from that ordered. It is suspected that tank trucks carrying fuel during delivery from the depot to gas stations tend to experience evaporation in the tank (loses), so that the fuel quantity decreases. Requests for fuel filling are only based on monitoring without any special calculations resulting in stock being maintained and not covering consumer demand. This research is to analyze the Artificial Neural Network algorithm in predicting fuel, and determine inventory control using Economic Order Quantity. The research was conducted using data from November 2020 - October 2023. The data was processed using the ANN algorithm using Google Colab, and continued with EOQ using Microsoft Excel. The ANN parameters are 1 hidden layer with 100 units, Adam optimizer, learning rate 0.001, batch size 8 and epoch 200. Pertalite ANN test results are MSE 248852593.81 and MAE 12749.45, while Pertamax Turbo MSE 803842.94 and MAE 672, 74 provides predictions for November and December of 11,1436.82 L and 11,1960.83 L and Pertamax Turbo of 3,782.46 L and 3,660.70 L. Furthermore, in 2023 the fuel EOQ of Pertalite and Pertamax Turbo will be 8,445 L and 5,261 L, Safety Stock 3,516 L and 1,064 L, Maximum Inventory 6,042 L and 5,153 L, Re order point 2,403 L and 108 L, Order frequency 149 times and 6 times with Total Inventory Cost Rp. 178,830,302 and Rp. 7,700,459.", "keywords": [ "Truck", "Environmental science", "Fuel efficiency", "Computer science", "Artificial neural network", "Operations research", "Automotive engineering", "Mathematics", "Engineering", "Artificial intelligence" ], "cited_by_openalex": 0, "cited_by_scopus": 0, "eid": null, "pii": null, "open_access_url": "https://ejurnal.seminar-id.com/index.php/josyc/article/download/4916/2613", "sources": [ { "db": "openalex", "stream": "TRUCK", "query_id": "TRUCK-3" } ], "streams": [ "TRUCK" ], "relevance_signals": [ "TRUCK_NO_CTX" ], "auto_exclude_reason": "EC-4-topic", "screening_status": "auto_excluded", "screened_by": "auto-v1.0.0" }, { "id": "doi:10.2175/193864718825159335", "doi": "10.2175/193864718825159335", "title": "Everything, Everywhere, All at Once: Proactively Engaging the Community During High-Profile Water Construction Projects", "year": 2024, "authors": [ "Taylor Rippe", "Alex Miller", "Erin Buek" ], "first_author": "Taylor Rippe", "venue": "Proceedings of the Water Environment Federation", "volume": null, "pages": null, "type": "conference-paper", "language": "en", "abstract": "Everything, Everywhere, All at Once: Proactively Engaging the Community During High-Profile Water Construction ProjectsAbstractBackground: KC Water is Kansas City, Missouri's Water Services Department, serving over 650,000 residents. KC Water contracted with Parson + Associates (P+A) to lead communications and business engagement for a major water, sewer, and storm sewer upgrades project - spanning nearly four miles along a heavily traveled corridor in the heart of Kansas City, MO (KCMO). This project caused daily disruptions to over 200 businesses, more than a dozen neighborhood groups, drivers, residents and the general public. P+A branded the project Upgrades on Main. The Upgrades on Main project replaced century-old infrastructure and paved the way for the first phase of construction-related activity for the KC Streetcar Main Street Extension. KC Water replaced approximately 23,227 linear feet of water mains and 17,532 linear feet of sewer mains, installed 67 new fire hydrants, 70 new manholes and new water services for 135 locations. This project took over two years to complete, with construction taking place on a highly-trafficked corridor. The P+A team proposed a very proactive approach, focusing on 'early and often' communications with businesses and residents along the corridor. Through a combination of weekly construction email blasts, door-to-door outreach, neighborhood and business meeting presentations, guided corridor tours, managing a project hotline, creating digital assets such as photography, videography, and graphics to show progress, and much more, P+A mitigated construction frustrations along the corridor by providing timely, accurate, and coordinated communication to stakeholders through the four-mile project corridor. Planning: Because this project began during a time of uncertainty with the rise of COVID-19, we made sure to consider how it could impact communications. In our plan, we included a note that said: 'Due to the evolving impacts of COVID-19, the outreach plan includes tactics to connect with people virtually online and through digital media. These alternative methods are recommended in light of the current social distancing and public health guidelines set forth by the governing authorities of the State of Missouri and City of Kansas City, Missouri. Depending on the circumstances, a mix of virtual and in-person meetings can be considered for future public engagement.' We determined three primary goals for this project as follows: Inform the public/stakeholders of construction impacts and educate them about the project process from beginning to end. Manage expectations and mitigate issues raised by the public/stakeholders. Provide a high level of customer service to stakeholders along the Main Street corridor. After the goals were set, our team developed a target audience. This audience was defined by not only stakeholders directly on the Main Street corridor, but also those within a three-block radius. Our team then created 11 primary strategies to meet our goals. Each strategy included an objective that detailed how we would get the work done. Below is the list of strategies: Strategy 1: Create and maintain stakeholder database Strategy 2: Create and manage a dedicated 'Upgrades on Main' webpage Strategy 3: Establish and Manage Project Contact Methods Strategy 4: Host up to two virtual public meetings Strategy 5: Weekly Construction Update email newsletter Strategy 6: Compile a master calendar of events to tap into grassroots-style 'pop-up' meetings Strategy 7: Use existing KC Water social media channels to engage public/stakeholders Strategy 8: Establish an online community engagement platform and virtual mapping tool Strategy 9: Utilize Alert KC text message system Strategy 10: Customer Service Training & Coordination Strategy 11: Earned Media Implementation: Before the project began, the P+A team developed key messages. These key messages guided us through the project and gave us a positive starting point with stakeholders. An initial postcard was mailed to over 1,135 stakeholders in and around the project corridor that included the key messages along with project contact information. After the groundbreaking, we began sending out weekly construction update emails every Friday, giving stakeholders an idea of what to expect to see on Main Street the following week. Within each weekly construction update, we featured different businesses along the corridor as part of our business engagement strategy. The P+A team also performed the following tasks throughout the two-year project to ensure the public was as informed as possible about construction in their area: 48-hour notice for any water shut offs via calls, emails and door hangers. Met on-site directly with stakeholders with contractors to coordinate phasing of work, delivery schedules, garbage truck schedules, etc. to limit the impact as much as possible. Created and sent detour maps emailed directly to impacted stakeholders that could be forwarded to customers/residents. Created 'Businesses Open During Construction' signage that was placed throughout the project corridor in order to support businesses during the construction period. Facilitated a 'bus tour' halfway through the project for city officials, business owners, and other key stakeholders to share the 'behind the scenes' aspects of the project and communicate the high-level of coordination taking place between the city, contractors, water & sewer work, and businesses on a day-to-day basis. Shared different aspects of the work, and what progress had been made. Captured drone footage to create photos and videos showing what progress had been made across the corridor. Managed a project hotline phone & email that was a direct line for the public to our project team. P+A maintained a list of all foreman working across the corridor so when an issue did pop up, we were able to offer a high-level of service and fix the issue quickly. Attended week", "keywords": [ "Computer science", "Knowledge management", "Engineering management", "Business", "Process management", "Engineering" ], "cited_by_openalex": 0, "cited_by_scopus": 0, "eid": null, "pii": null, "open_access_url": "https://doi.org/10.2175/193864718825159335", "sources": [ { "db": "openalex", "stream": "TRUCK", "query_id": "TRUCK-3" } ], "streams": [ "TRUCK" ], "relevance_signals": [ "UAV_NO_CTX", "TRUCK_NO_CTX" ], "auto_exclude_reason": "EC-4-topic", "screening_status": "auto_excluded", "screened_by": "auto-v1.0.0" }, { "id": "doi:10.5406/24736031.50.3.05", "doi": "10.5406/24736031.50.3.05", "title": "“We Had A Symbiotic Relationship”: The Structure and Texture of Chinese-White Relationships in Depression-Era Utah", "year": 2024, "authors": [ "Melissa Wei-Tsing Inouye", "Joseph Soderborg" ], "first_author": "Melissa Wei-Tsing Inouye", "venue": "Journal of Mormon History", "volume": null, "pages": null, "type": "article", "language": "en", "abstract": "Utah in the late nineteenth and early twentieth centuries was an international, multiethnic space. Latter-day Saint converts from Scandinavia, the British Isles, Germany, and other places in Europe streamed in via the transcontinental railroad to practice their religion together. Railroad and mine workers came via those same transportation networks from southern Europe, eastern Europe, and Asia.1 Chinese had been a presence in the American West since the Gold Rush and the era of railroad building. For decades, they filled niches in Utah's economy, including railroad construction, mining, vegetable farming, and the restaurant and laundry business.2Strikingly, the missionary-minded Latter-day Saints, who had sent evangelists to Hong Kong in 1853, to New Zealand in the 1880s, and who had even built a temple in Laie, Hawaii, in 1919, to accommodate the spiritual needs of a burgeoning community of Hawaiian members, appear to have made almost no sustained efforts to proselytize to the non-Christian Chinese in their midst in Utah.3This was not for lack of regular interactions between non-Christian Chinese and White Latter-day Saints. For example, in 1917, Chinese-owned laundries were a common enough feature of everyday life in Utah that a writer for the Relief Society Magazine suggested a “Chinese laundry”-themed moneymaking booth, a spin on the fishpond, at bazaars and fairs. “Tickets at 10c or 5c are sold by a ‘Chinaman,’ who circulates among the people. If the right one is chosen for this job he will be very popular with the little folks.”4 From the “Chinese laundry” booth, children presented their tickets and received prize packages wrapped up as laundry bundles. The role of the “Chinaman” clearly involved some sort of cross-racial costuming, and was a comical, buffoonish role in which the humor relied on people's familiarity with the roles Chinese played in their communities, albeit in a stereotypical and shallow way. The White Latter-day Saints’ focus on the laundry (a place of business) in association with people of Chinese ethnicity suggests that the relationship between the two groups was most frequently defined through economic, not fraternal or ecclesiastical, interactions.Because of social separations between non-Christian Chinese and White Latter-day Saint populations, historical understanding of interactions between these two groups before the post-World War II era is very sparse. We seek to shed more light on these interactions at the grassroots by telling the story of a neighborly friendship between two families, the Jus and the Soderborgs, in Depression-era Utah. This story is unusual for two reasons. First, there is a dearth of primary sources on Chinese nuclear families in Utah at this time, with most of the sources focusing on bachelor male sojourners. Second, the reciprocal and neighborly relationship between the two families counters the broader systematic racial hierarchies and segregations within Utah society and within church culture at the time. Encountering each other at a liminal moment in their lives in Depression-era Utah, the Jus and Soderborgs became part of each other's lives in intimate, symbiotic ways, including religious exchanges, that defied the larger forces of anti-Chinese racism and segregation within Latter-day Saint communities.Our positionality as historians trying to illuminate this aspect of Utah history is quite unique. We are the second- and third-generation descendants of members of the White and Chinese families we describe. The bulk of our sources are oral histories from senior family members. We were both working as historians on other topics, but ran into each other at a Mormon History Association meeting in 2021 and decided to write a paper together on our joint family histories. We believe that the significance of this research goes far beyond our individual family heritage, however, because of the overall lack of primary sources on Chinese families in Utah society and a corresponding lack of primary sources on interethnic and interreligious relations between Chinese practicing traditional ancestral worship religion and White Latter-day Saints.Probably one reason for the lack of programmatic proselytization of Utah-based Chinese on the same level as a Latter-day Saint international mission is the specter of racial integration. For a White missionary, it was one thing to convert Māori in New Zealand or Hawaiians in Hawaii, but another thing entirely to practice religion with them in integrated congregations in one's own neighborhood. In marked contrast with their policy toward White European, Australian, and New Zealand converts, Church leaders encouraged non-White converts from New Zealand and the Pacific Islands to remain in their homelands instead of emigrating to Utah. When the desire of Pacific Islanders to experience ordinances within the sacred space of a Latter-day Saint temple became so great that many Pacific Islanders did emigrate to Utah in the 1880s, Latter-day Saint leaders arranged for them to be segregated in their own settlement in Skull Valley over sixty miles from the White Latter-day Saint population in Salt Lake City.5This general racism within Latter-day Saint communities in Utah was part of larger forces of racial discrimination enshrined in the laws of the United States. The Chinese Exclusion Act, passed by the U.S. Congress in 1882, effectively banned the immigration of Chinese men, but even earlier, beginning in 1870, Chinese women were banned. All Chinese women coming to the United States were labeled “prostitutes,” which made them inadmissible.6 Another law that stigmatized Chinese and restricted their life choices was the Utah law against intermarriage between Whites and Blacks and between Whites and Asians, in force from 1888 to 1963. In 1922, Congress passed the Cable Act, which decreed that White women who married Asian men would lose their U.S. citizenship.7 One consequence of this pattern of discriminatory l", "keywords": [ "Depression (economics)", "White (mutation)", "Texture (cosmology)", "Geography", "Psychology", "Artificial intelligence", "Computer science", "Biology", "Economics" ], "cited_by_openalex": 0, "cited_by_scopus": 0, "eid": null, "pii": null, "open_access_url": "http://dx.doi.org/10.5406/24736031.50.3.05", "sources": [ { "db": "openalex", "stream": "TRUCK", "query_id": "TRUCK-3" } ], "streams": [ "TRUCK" ], "relevance_signals": [ "NO_TECHNOLOGY_MATCH" ], "auto_exclude_reason": "EC-4-topic", "screening_status": "auto_excluded", "screened_by": "auto-v1.0.0" }, { "id": "doi:10.14321/qed.11.1.0109", "doi": "10.14321/qed.11.1.0109", "title": "The Im(possibility) of Disability at the End of the World in The Last of Us", "year": 2024, "authors": [ "Bernadette Marie Calafell", "Lucy Kramer" ], "first_author": "Bernadette Marie Calafell", "venue": "QED A Journal in GLBTQ Worldmaking", "volume": null, "pages": null, "type": "article", "language": "en", "abstract": "The Last of Us, which aired on January 29, 2023, on HBO Max (now Max) based upon a video game of the same name, follows the story of Joel (Pedro Pascal) who is trying to survive in a post-apocalyptic world after a zombie virus erupts. After the death of his daughter, Sarah (Nico Parker), Joel becomes a smuggler alongside his partner Tess (Anna Torv). Joel and Tess agree to smuggle Ellie (Bella Ramsey), a teenager who is immune to the zombie virus, to Massachusetts to Firefly leaders who are working on a cure for the virus. On the way, Tess is bitten and sacrifices herself, while Joel and Ellie continue their journey. It is in episode three, “Long, Long Time” that we meet Bill (Nick Offerman) and Frank (Murray Bartlett), two white gay men, whose backstory we come to know through a series of flashbacks. For the sake of our analysis, we focus on episode three and the relationship between Bill and Frank in particular. We draw on the rest of the series to further situate the relationship and writers’ choices in terms of a larger narrative that is imbued with power, specifically around the (im)possibility of disability and futurity.There have been extensive interviews conducted about the show's production, writing process, and post-episode chats with director Peter Hoar, executive producer and game creator Neil Druckmann, screenwriter Craig Mazin, and the two lead actors of the episode, Offerman and Bartlett. These help to situate the intention behind the team's inclusion of a queer couple that wasn't explored to this extent in the source material. Mazin has explained that he took elements of his own love story with his wife of twenty-seven years when saying, “I may not be a gay man, but I am a middle-aged man in a long relationship. And I know that there's a certain different kind of love that happens that you can't get early on.”1Druckmann, the story's creator, notes in the post-episode interview on Max that each episode has some underpinnings of different kinds of love, and in episode three, “This was the pure, innocent version. This is the beauty that love can bring us.”2 Just after this, Hoar speaks to the intentional dryness in tone, “What really is important is them not being too emotional, because I think it's better to let us be emotional.”3 In another interview with director Peter Hoar, he gives insight to what he finds the queer relationship to feel like, “There's a straightness to this gay love story. It's not flamboyant. It's genuine and it's authentic.”4 His reading presents an intention that this story was not created and extrapolated on to show same-sex love in a complex way, but rather that this is an all-encompassing story of what love looks like for everyone—very homonormative. This is the love is love narrative that permeates popular culture. Hoar has stated in multiple interviews that he does not wish for these men or their story to be overly emotional, perpetuating ideals about stoicism even in one's final moments—a performance of hegemonic masculinity. Normativity, and white homonormativity, is then suggested as what can be found in the apocalypse as emotional fulfillment. Paraphrasing the production team, this “straightened queerness” provides outlets for all people to find joy with another, even if that ends in suicides for both men.With a practically perfect score on film review site Rotten Tomatoes, the public and commentators alike found that this episode was “one of the greatest episodes ever committed to television, and pop culture history will honor it as such.”5 Reviews in the days after airing remarked on the time this episode takes to explore “an alternately heartwarming and heartbreaking short film about companionship.”6 Many have commented about the departure this takes from its source material, but this has often been an outlet for homophobic discourse surrounding the queerness of the episode. The Internet Movie Database (IMDB), an open review site to professional and nonprofessional critics, is home to 223,0000 reviews, with 120,000 ten-star ratings and 56,000 one-star ratings.7 The public is split on whether this entire episode is relevant to the plot of the show. Those in favor of the story call Nick Offerman's words to mind, asking what their lives would be like without their loved ones, whereas those opposed call this something no one asked for. Some suggest the episode is closer to eleven out of ten, whereas others ask to “get back to killing mushrooms here soon” after the episode.8 The negative comments demonstrate a wish for essentialist adaptation, and for our purposes, exhibit the wish for disability to be eradicated. Although adaptation is important, the team behind The Last of Us has expressed that this storyline is important to the underlying messages of love in the show. This episode is written and crafted by the game's creator Neil Druckmann as a departure for a reason, not just some arbitrary addition to the storyline. Druckmann's intentions and wishes to make amendments to his original material through inclusion of different storylines should be taken seriously, especially ones that add to the source in a way that television allows. Although some see that it “doesn't matter” to the plot, the creator of the series would say otherwise.As scholars we can easily make a critique of The Last of Us about homonormativity and its redemption of Bill, the white male prepper, that point to the less than subversive messages the show produces. However, we choose to focus on the (im)possibility of not only queerness, but disability at the end of the world. The Last of Us presents the threat of disability as embodied in the figure of the zombie, which looms large and ready to infect during the apocalypse. Zombification acts as a disease, disability, or virus that harkens back to the rise of HIV and AIDS in the 1980s. Kafer cites Edelman, who argues there is no future for queers in a world where the figure of the child remains steadfast, whereas Muñoz is fo", "keywords": [ "Psychology", "History", "Political science" ], "cited_by_openalex": 0, "cited_by_scopus": 0, "eid": null, "pii": null, "open_access_url": "https://doi.org/10.14321/qed.11.1.0109", "sources": [ { "db": "openalex", "stream": "TRUCK", "query_id": "TRUCK-3" } ], "streams": [ "TRUCK" ], "relevance_signals": [ "NO_TECHNOLOGY_MATCH" ], "auto_exclude_reason": "EC-4-topic", "screening_status": "auto_excluded", "screened_by": "auto-v1.0.0" }, { "id": "doi:10.5406/26428652.92.4.04", "doi": "10.5406/26428652.92.4.04", "title": "Trash or Treasure: Exploring the Origins of Artifacts Discovered at Salt Lake City's Denver & Rio Grande Western Railroad Maintenance Facility (42SL718)", "year": 2024, "authors": [ "Tiffany Tuttle Collins", "Christine Michalczuk" ], "first_author": "Tiffany Tuttle Collins", "venue": "Utah Historical Quarterly", "volume": null, "pages": null, "type": "article", "language": "en", "abstract": "In November 2020, an unintended discovery was made in a utility trench during construction associated with Utah Transit Authority's (UTA) new Central Bus Operations and Maintenance Facility in downtown Salt Lake City. The discovery consisted of a historic refuse pile that had been deposited over a period of approximately three decades—from the late nineteenth through the early twentieth centuries—associated with two narrow-gauge rail lines laid into raised concrete foundations. The refuse pile had accumulated against the concrete foundation of one of the narrow-gauge rail lines adjacent to the former oil house of the historic Denver & Rio Grande Western (D&RGW) rail yard. In 2019, archaeologists recorded the site of the D&RGW Train Maintenance Facility, which is eligible for the National Register of Historic Places. The November 2020 discovery is part of this same archaeological site. SWCA Environmental Consultants (SWCA) had been monitoring continued ground-disturbing activities in the area and excavated the site in order to gather information about and mitigate damage to it.The unintended discovery in 2020 consisted of three buried features that workers exposed while digging a trench for utilities. Two narrow-gauge rail lines set in concrete foundations, one of which has an associated historic refuse pile, are located just to the east of and appear to be associated with the former D&RGW oil house (fig. 1). The third buried feature, a possible wood floor or boardwalk, is located to the northeast of the other features, near the former boiler shop. This article focuses on the rail lines and the associated refuse pile.The rail lines appear to have been abandoned when the D&RGW converted from narrow- to standard-gauge rails circa 1890, and the area next to the vacant rail line was then used as a refuse dump, possibly into the 1920s. As described below, the D&RGW used several types of passenger cars in its operation. All cars went through regular maintenance, upgrades, and repairs at the D&RGW maintenance facility, and those activities appear to be the source of the artifacts found in the historic refuse pile. Historical research and archaeological data, studied through collected artifacts, attempted to shed light on the class, gender, and ethnicity of the individuals who generated the artifacts.Once the discovery was made, SWCA provided an archaeological monitor during ground-disturbing activities as workers placed the remaining storm drainpipe. First, SWCA collected all artifacts located on the surface within the boundaries of the D&RGW Train Maintenance Facility and took them to the SWCA laboratory in Salt Lake City for further analysis. At the site of the discovery, the contractor cleared the trench of material that had sloughed off the trench walls and mechanically excavated the top meter of soil within the trench to expose the top of the visible refuse pile deposit. The trench walls were then cleaned, and SWCA archaeologists drew profiles of the northern and southern trench walls to document where the trench intersected the refuse pile.Before work within the utility trench finished, SWCA excavated a single unit measuring approximately 3 × 3 feet (1 × 1 meter) square in the south wall of the trench against the west side of the concrete rail foundation. Excavators removed sediment in arbitrary 10-centimeter levels, beginning at a point 108 centimeters below ground surface, which was approximately even with the top of the rail foundation. They passed all excavated sediments through a 1/4-inch screen, and they collected all visible artifacts except bricks and clinker (spent coal from train engine furnaces) for laboratory analysis. They tracked the collected artifacts’ origins by assigning field specimen numbers. Excavation was terminated at 70 centimeters below the top of the rail foundation (a total of 178 centimeters below the modern ground surface [cmbs]) due to safety concerns, resulting in seven excavated levels. This excavation unit represents a small sample of the total refuse pile, which began 40 centimeters above the rail foundation in the northern trench wall, extended more than 2 meters east–west in the trench profile, and continued to an unknown depth below the bottom of the excavation unit.Each bag of artifacts collected during excavations was transported to the SWCA laboratory, checked in to the laboratory, and subsequently entered into SWCA's database. All artifacts were then cleaned and stored according to appropriate laboratory standards. All artifacts were analyzed for markers that would indicate each artifact's age and function and those exhibiting distinctive diagnostic characteristics were photographed. Researchers prepared a catalog with a detailed accounting of the artifacts recovered.In total, 9,508 artifacts were collected from the discovery area. Of those, 17 artifacts were collected from the surface, and 9,491 were from the excavated sample unit within the refuse pile. The excavated artifacts were collectively produced between 1879 and 1929. However, even though some of the artifacts may have first been produced as far back as 1879, it appears that the deposit cannot be older than approximately 1890, when the D&RGW converted to standard-gauge rails. We assume that refuse would not have been allowed to pile up against the rails while they were in use.The seventeen artifacts collected from the surface include glass, ceramic, and one men's leather shoe. The shoe, which includes copper eyelets (invented in 1840), was collected from a point approximately eight hundred feet to the northeast of the discovery, near the vicinity of the former engine shop (fig. 2).Of the glass artifacts in the surface collection, most are bottles made from either aqua or colorless glass. Four are patent medicine bottles, and the contents of two of those four bottles can be identified through embossed lettering; Dr. Miles’ Restorative Nervine was produced by the Dr. Miles Medical Company fr", "keywords": [ "Treasure", "Salt lake", "Archaeology", "Civil engineering", "Geography", "Engineering", "Geology", "Geomorphology" ], "cited_by_openalex": 0, "cited_by_scopus": 0, "eid": null, "pii": null, "open_access_url": "http://dx.doi.org/10.5406/26428652.92.4.04", "sources": [ { "db": "openalex", "stream": "TRUCK", "query_id": "TRUCK-3" } ], "streams": [ "TRUCK" ], "relevance_signals": [ "NO_TECHNOLOGY_MATCH" ], "auto_exclude_reason": "EC-4-topic", "screening_status": "auto_excluded", "screened_by": "auto-v1.0.0" }, { "id": "doi:10.1215/00265667-11369326", "doi": "10.1215/00265667-11369326", "title": "Consider the lampshade", "year": 2024, "authors": [ "Erin McAllester" ], "first_author": "Erin McAllester", "venue": "Minnesota Review", "volume": null, "pages": null, "type": "article", "language": "en", "abstract": "Velvet, sown into slippery delicate satin, soft to the touch. Millennial pink. Sublime. She pulled the deadstock off a top shelf and into her shopping cart. It would keep her new lampshade company, and soon they would be joined as one.She had a whole shelf of them now, some conical, many cylindrical, a few accordion, arranged harmoniously to tie up the part of her brain full of loose ends. She'd added tassels, fringe, satin, chiffon, crepe, and steel. Old shades bore new life, moving light downcast in much louder dress.She parked the cart at the counter to unload the barcodes to the cashier with dyed black hair. The woman's headband held back thick bangs and hid peeking bald spots. Inspecting the time on the wall clock with the aim not to engage, she shoved the credit card chip in the reader face up. Before she had a chance to recoil, the cashier's long red nails gripped the small of her wrist.Both stood in silence, connected and unmoving. It was then that the woman's wrist and the cashier's nails flattened into a series of brush strokes and stippling. It was happening again.It was an average day the day her eyesight changed. She was doing her job, proofreading website updates, and that was when she saw it. Someone, a colleague, had uploaded a picture, a header image, at the top of an article. It was a photo, maybe, but it wasn't. It was trying to be. It was real, but also cartoon-like. It was unsettling. The image tripped a wire in her, the kind of wire meant to detect false information, but she wasn't convinced it was accurate and it sent her gut into a state of uncertainty. So she sent her colleague a Slack message. Did you get those illustrations from design? she asked. They're slick. Very lifelike. Are they AI-generated?What do you mean? The colleague asked.The photo-like images on the last two articles you published, she responded. They're incredibly vivid.Oh, the colleague typed, I got them from the Canva free imagery.Right, she said, they're not photos. They're AI generated, I think. Are we cleared to use those now on the website?The coworker stopped responding.She didn't think much of it. Her colleagues and she shared a distant, if not strained, working relationship and reciprocal conversations often fell by the wayside.It was near her 5 p.m. wrap-up time this busy Friday and she diligently completed her last few tasks. A modern woman, she worked from home, and was grateful to have eliminated a commute from her time dedicated to someone else's dream. This did not, of course, mean work was wholly satisfying and the irrevocable best use of her time, but she swallowed her shallow commitments in an anesthetic state.A certain tension had, in no uncertain words, usurped the better part of her brain. The predictable flickering light above the kitchen stove made her jump with its acrimonious dimming. She found clumps of her hair next to the toilet. Food was unpalatable, and when consumed, indigestible. Sundays meant tears teetering on the edge of her inferior eyelid. Lovemaking, a pastime, was for those unburdened by such tight golden handcuffs.She calmed herself with busying tasks, like cleaning a disgusting vintage chair, or painting a wall orange, or day drinking, but the reprieve these activities brought was intermittent. It took only seeing her laptop to trigger a deep anxiety into which she reluctantly spiraled, becoming too dizzy to stand and taking a compulsory seat on the couch with a glass of water.She was unaccustomed to this mania. She could handle death and breakups with ease. She'd whip out the tarot cards, call a girlfriend, and smoke the pain away.Her role wasn't high-pressure—she was in marketing—but every day had the urgency and tedium of crawling through a minefield. Her body in the life she lived now was scoped through a telescopic lens. She could not feel well. She could not feel but that she was missing something deeply. She had been sleeping too many hours each night, but was never fully rested. She felt very far away.Ordinarily, she was the kind of gal that could work like mad. Not “throw a punch through your wall” mad, but the “draft a searing email containing figures and facts that will destroy your world” kind of mad. She was violent with her hands on the keyboard and could strangle you with random information you left lying around. Her skin care routine consisted of a hot cup of coffee before 7 a.m. If the printer wasn't printing in color, she refused to fix it out of concern for “babying” it. Her mental and emotional fragility in her marketing role was a novel crisis.She wrapped up her day and shut her laptop. On to her second job: cleaning. Dishes piled high from breakfast (oatmeal, no sweetener) and a lunch of leftover falafel (dry). She flipped the water on and squeezed the lavender soap onto the sponge. Her pressure was too much, and soap spewed into the sink and over the sponge. Steamy water grew bubbles from the bowls and cups, air trapped inside the detergent with an iridescent veneer. She shut the water off. The sink's edges, the bubbles, and the cups, took on a cartoon quality. An untouchable unrealness that belonged on a canvas. The depth pixelated, and edges melted into one another. She blinked a few times. I must take a photo, she thought. I've never seen dishes look so pretty.She resumed chores. A glue gun, lampshade, and mustard-yellow fringe rested on the Formica table, a thought left unfinished from the prior weekend's aspirational projects. In preparation for this project last weekend, walking through Home Depot looking for a lamp cord, she'd felt a tinge of dysphoria.“If I start to slowly lose it” she turned to her husband in the ceiling fan department, “we can document my slow demise through the quality of my lampshades. Like Utermohlen.”This proclamation had come one evening after her supervisor berated her about a PowerPoint presentation. After two attempts at completion, and one abruptly confusing conversation, her supervisor announced ", "keywords": [ "Computer science" ], "cited_by_openalex": 0, "cited_by_scopus": 0, "eid": null, "pii": null, "open_access_url": "https://doi.org/10.1215/00265667-11369326", "sources": [ { "db": "openalex", "stream": "TRUCK", "query_id": "TRUCK-3" } ], "streams": [ "TRUCK" ], "relevance_signals": [ "NO_TECHNOLOGY_MATCH" ], "auto_exclude_reason": "EC-4-topic", "screening_status": "auto_excluded", "screened_by": "auto-v1.0.0" }, { "id": "doi:10.1111/jacf.12633", "doi": "10.1111/jacf.12633", "title": "Beyond EVA", "year": 2024, "authors": [ "Gregory Vincent Milano" ], "first_author": "Gregory Vincent Milano", "venue": "Journal of applied corporate finance", "volume": null, "pages": null, "type": "article", "language": "en", "abstract": "In early 2018, Institutional Shareholder Services (ISS), the well-known proxy advisory firm, announced that it had acquired EVA Dimensions, an equity research firm that uses economic value added (EVA)1 to measure corporate performance and estimate a company's intrinsic value. Following this acquisition, ISS also announced that in 2019 EVA would be featured in its research reports along with GAAP-based measures—and that in 2020 it would consider making EVA-based measurements part of the financial performance assessment methodology for its pay-for-performance model.2 Those of us who have been studying performance measurement and compensation design for decades applauded the news. But not all were as enthused about this development, as I recently found out when I attended a WorldatWork conference in Colorado focused on trends in executive compensation and performance measurement. Though many topics were discussed, a common thread running through many presentations was that EVA was undergoing a resurgence—and every expert warned that human resource professionals should be deeply concerned about its impending return. The most common complaint was about the complexity of the EVA performance measure, but some also cautioned against its tendency to encourage “underinvestment.” Yet, having implemented EVA with Stern Stewart for over 10 years beginning in 1992, I can say with some confidence that EVA is a more effective way of guiding and motivating corporate managers to create value than traditional performance measures. It was a substantial step forward in the evolution of performance measurement in that it attempts to balance considerations about both “quantity” (or growth) and “quality” (rate of return or profitability) within a single measure. Sure, there are improvements that can be made to simplify EVA and encourage better behavior, which will be discussed below. But it was a major advance in performance measurement when it was launched about 30 years ago. But before getting into the specifics, let me provide some context for what follows. In 2001, when Joel Stern and John Shiely published The EVA Challenge: Implementing Value-Added Change in an Organization,3 they asked me to write the epilogue, which came to be titled “EVA and the ‘New Economy.’” The authors wrote the book during the dotcom bubble, and the epilogue was my early attempt to explain corporate valuation in situations where corporate investments more often took the form of R&D and marketing expenditures than traditional capital spending on buildings and machinery. As I wrote back in 2001, “Do not be distracted by the values of new economy companies. The share prices may be realistic or they may be a dream; we do not know. However, …[a]t any reasonable percentage of prevailing valuations, this would be an NPV-to-capital ratio that many ‘Old World’ companies would cherish.” A year earlier, in 2000, I gave a speech at Stern Stewart's second European EVA Institute in Fiuggi, Italy that was later adapted into an article titled “EVA and Growth” and published in Stern Stewart's EVAngelist magazine.4 As I pointed out in my speech, although EVA theoretically encourages all good investments insofar as it rewards the delivery of returns above a weighted average cost of capital, with many clients I had witnessed EVA stifling growth investment and causing managers to place too much emphasis on cost efficiency and capital productivity. The speech and article were my first attempts, while I was still at Stern Stewart, at explaining the behavioral reasons for these unintended consequences of an otherwise good idea. Then, in 2004, I joined the “Buyside Insights” Group of the Credit Suisse investment banking department shortly after they had acquired the HOLT valuation framework.5 HOLT is a highly sophisticated framework for valuation, which is to say that it is very complicated. It is great for investors, who tend to be a very numerate lot, but has proven to be cumbersome for corporate management teams. Worth noting here, though, is that HOLT is “cash-flow based,” so it does not recognize depreciation as a cost and assets do not decline in value as they get older. It was during this period that I realized that depreciation was at the root of one of the biggest problems with EVA. By making new assets look more expensive than they really are, and by creating an illusion of performance improvements as those assets depreciate away, the conventional accounting for depreciation causes distortions in the timing of EVA—and of virtually every return measure, including ROE, ROIC, and ROCE. I will come back to this later, but for now, suffice it to say that depreciation was a key to solving the puzzle of why EVA appeared to be discouraging new investment. It was these shortcomings of EVA that ultimately led our Fortuna Advisors team to develop a better economic profit performance measure when we founded our corporate shareholder value advisory firm in 2009. The process began with extensive empirical testing to refine our ideas and develop a simpler economic profit measure that does a better job of tracking total shareholder return and, more importantly, strikes a better balance between delivering current performance and investing in the future. The result was Residual Cash Earnings (RCE), which was introduced here in the Journal of Applied Corporate Finance in 2010.6 We have implemented RCE for many companies since then, in most cases customizing the measure (and often renaming it after the company) to fit different businesses and industries. In the sections that follow, I will explain how both EVA and RCE are calculated as well as how RCE differs from EVA by providing management with the performance indicators and incentives to pursue an optimal balance of profitability and value-adding investment. In the 1990s, EVA was all the rage. One would hardly have known that economic profit had been developed in academia over 100 years earlier. Of course, the fo", "keywords": [ "Economic Value Added", "Performance measurement", "Executive compensation", "Shareholder", "Accounting", "Equity (law)", "Economics", "Shareholder value", "Proxy (statistics)", "Return on equity", "Actuarial science", "Business" ], "cited_by_openalex": 0, "cited_by_scopus": 0, "eid": null, "pii": null, "open_access_url": "https://doi.org/10.1111/jacf.12633", "sources": [ { "db": "openalex", "stream": "TRUCK", "query_id": "TRUCK-3" } ], "streams": [ "TRUCK" ], "relevance_signals": [ "NO_TECHNOLOGY_MATCH" ], "auto_exclude_reason": "EC-4-topic", "screening_status": "auto_excluded", "screened_by": "auto-v1.0.0" }, { "id": "doi:10.1145/3638550.3643631", "doi": "10.1145/3638550.3643631", "title": "Demo: Towards Autonomous Drone Delivery to Your Door Over House-Aware Semantics", "year": 2024, "authors": [ "Shengqing Xia", "Junpeng Guo", "Chen Peng", "Chunyi Peng" ], "first_author": "Shengqing Xia", "venue": "Hotmobile 2024 Proceedings of the 2024 25th International Workshop on Mobile Computing Systems and Applications", "volume": null, "pages": "157", "type": "conference-paper", "language": "en", "abstract": "Drone delivery is swiftly on the rise. Different from most prior efforts centered on the last-mile problem where the drone flies from the source to the destination house but overlooks the landing part [1, 2]. In our full paper [3], we make the first attempt on the last-hundred-feet problem, which aims to land at a convenient and safe point (say D-point, in front of the door) in a fully autonomous manner. In this demo, we specifically focus on the key technical component Structural Semantic Segmentation (SSS), a novel semantic segmentation-based approach to identify D-point. Unlike the classical SS, it capitalizes the common single-family house (SFH) structures to refine the misclassified region from SS results. Our results show that the detection precision of boundary between the house and pavement (indicating the door location) reaches 84%, compared to 16% achieved by SS method, and only adds 430 ms to the processing time. We leverage SSS to progressively update the D-point guiding it closer to the door (Figure 1a). Video can be found at https://youtu.be/G6I9XzCyHFQ", "keywords": [ "Drone", "Leverage (statistics)", "Computer science", "Segmentation", "Point (geometry)", "Focus (optics)", "Semantics (computer science)", "Key (lock)", "Artificial intelligence", "Computer graphics (images)", "Computer security", "Programming language" ], "cited_by_openalex": 1, "cited_by_scopus": "0", "eid": "2-s2.0-85187197404", "pii": null, "open_access_url": "https://doi.org/10.1145/3638550.3643631", "sources": [ { "db": "openalex", "stream": "UAV", "query_id": "UAV-1" }, { "db": "scopus", "stream": "UAV", "query_id": "UAV-1" } ], "streams": [ "UAV" ], "relevance_signals": [ "UAV" ], "auto_exclude_reason": null, "screening_status": "pending_human_screening", "screened_by": "auto-v1.0.0" }, { "id": "title:intelligent routing for smart last mile drone delivery with mobile wireless charging stations", "doi": null, "title": "Intelligent routing for smart last-mile drone delivery with mobile wireless charging stations", "year": 2024, "authors": [ "Hossein Eskandaripour" ], "first_author": "Hossein Eskandaripour", "venue": "Holmes Museum Of Anthropology (Wichita State University)", "volume": null, "pages": null, "type": "dissertation", "language": "en", "abstract": "Thesis (Ph.D.)-- Wichita State University, College of Engineering, Dept. of of Industrial, Systems and Manufacturing Engineering", "keywords": [ "Drone", "Wireless", "State (computer science)", "Key (lock)", "Routing (electronic design automation)", "Internet of Things" ], "cited_by_openalex": 0, "cited_by_scopus": 0, "eid": null, "pii": null, "open_access_url": "https://hdl.handle.net/10057/29165", "sources": [ { "db": "openalex", "stream": "UAV", "query_id": "UAV-1" } ], "streams": [ "UAV" ], "relevance_signals": [ "UAV" ], "auto_exclude_reason": null, "screening_status": "pending_human_screening", "screened_by": "auto-v1.0.0" }, { "id": "title:last mile delivery with drones zipline drones case study", "doi": null, "title": "Last mile delivery with drones : Zipline drones case study", "year": 2024, "authors": [ "Tochukwu Jaireh Njoku" ], "first_author": "Tochukwu Jaireh Njoku", "venue": "FH JOANNEUM ePUB", "volume": null, "pages": null, "type": "dissertation", "language": "en", "abstract": "Das Konzept des Handels ist so alt wie die Geschichte der Menschheit und der Kommunikation. Der Handel wurde schon immer von der unaufhörlichen Nachfrage der Menschen nach verschiedenen Arten von Produkten angetrieben. Dies hat zu einem kontinuierlichen Anstieg der globalen Lieferketten- und Logistikaktivitäten geführt. Diese Aktivitäten zielen immer auf eine effiziente und schnelle Lieferung von Waren und Dienstleistungen an Endverbraucher zur Zufriedenheit der Verbraucher ab. Allerdings wächst das Bewusstsein für die Auswirkungen von Treibhausgasemissionen auf das Klima. Dies hat zu einer Neubewertung der Parameter für den Erfolg im Handel geführt, von der Profitorientierung hin zur Nachhaltigkeit der Produktionsprozesse und der Innovation nachhaltiger Produkte. Es ist auch eine Tatsache, dass globale Lieferketten- und Logistikaktivitäten zu 80 % die Hauptverursacher indirekter Scope-3-Emissionen sind. Diese Bedenken haben kleine, mittlere und große Geschäftsinhaber sowie Regierungs- und Unternehmensorganisationen dazu veranlasst, innovative erneuerbare Technologien wie Drohnen zu erkunden, um ein gewisses Maß an Nachhaltigkeit in den Lieferketten-Liefervorgängen auf der letzten Meile zu erreichen. Drohnen gewinnen als zuverlässiges und nachhaltiges Mittel zur effizienten Zustellung von Waren und Dienstleistungen auf der letzten Meile zunehmend an Bedeutung. Diese Arbeit untersucht anhand der Literatur verschiedene Studien zur Logistik der Zustellung auf der letzten Meile mit Drohnen und legt dabei den Schwerpunkt auf Energie, Kosten, Entfernung und Effizienz. Anschließend zeichnet sich diese Arbeit durch eine reale Fallstudie der Zipline Company aus, einem in den USA ansässigen Unternehmen, das Drohnen zur nachhaltigen Zustellung von Produkten auf der letzten Meile einsetzt. Es wurde eine Analyse durchgeführt, um den Energieverbrauch und die CO2-Emissionen bei einer 80 km langen Hin- und Rückfahrt mit der Quadrocopter-Drohne Zipline Platform-2 zu ermitteln. Der Energieverbrauch und die entsprechenden Emissionen wurden ermittelt, wenn ein Elektrofahrrad, ein Elektroauto, Benzin- und Dieseltransporter für dieselbe Zustellung eingesetzt würden. Für die Bodenfahrzeuge wurden Annahmen hinsichtlich eines Nullverkehrseffekts und einer optimalen geraden, optimierten Route getroffen. Anschließend wurde die Effizienz des Quadrocopters und der Bodenfahrzeuge in Bezug auf die CO2-Emissionen grafisch ermittelt. Die Drohne wurde im Nachhaltigkeitskontext mit anderen Bodenzustellfahrzeugen verglichen. Die Effizienz der Drohne erwies sich im Vergleich zu anderen Bodenfahrzeugen mit einer Reichweite von 71 – 99 % als überwältigend beeindruckend. Abschließend bot das Papier eine Lösung an, um die hohe Effizienz der Drohne weiter zu festigen und durch erneuerbare Energie aus Sonnenlicht eine Netto-Null-Kohlenstoffemission zu erreichen: ein vollständig netzunabhängiges Solarsystem zur Stromversorgung der Dockingstationen der Zipline-Drohne. Dies wurde als ideale, kostengünstige und nachhaltige Lösung für den Zipline-Flug angesehen. Einsätze in afrikanischen Ländern wie Nigeria, Ghana, der Elfenbeinküste und Kenia, wo die Stromversorgung unzureichend und unzuverlässig ist.", "keywords": [ "Drone", "Aircraft industry" ], "cited_by_openalex": 0, "cited_by_scopus": 0, "eid": null, "pii": null, "open_access_url": "https://resolver.obvsg.at/urn:nbn:at:at-fhj:1-44219", "sources": [ { "db": "openalex", "stream": "UAV", "query_id": "UAV-1" } ], "streams": [ "UAV" ], "relevance_signals": [ "UAV" ], "auto_exclude_reason": null, "screening_status": "pending_human_screening", "screened_by": "auto-v1.0.0" }, { "id": "title:user acceptence of autonomous drone in last mile delivery", "doi": null, "title": "User acceptence of autonomous drone in last mile delivery", "year": 2024, "authors": [ "Erdem, Muhammed Ali" ], "first_author": "Erdem, Muhammed Ali", "venue": "Istanbul Technical University Academic Open Archive (Istanbul Technical University)", "volume": null, "pages": null, "type": "dissertation", "language": "tr", "abstract": "Tez (Yüksek Lisans) -- İstanbul Teknik Üniversitesi, Lisansüstü Eğitim Enstitüsü, 2024", "keywords": [ "Drone", "Key (lock)", "Field (mathematics)", "Window (computing)", "Last mile (transportation)" ], "cited_by_openalex": 0, "cited_by_scopus": 0, "eid": null, "pii": null, "open_access_url": "https://polen.itu.edu.tr/bitstreams/715e91e0-cdef-4ffc-9194-09c8353ec0c7/download", "sources": [ { "db": "openalex", "stream": "UAV", "query_id": "UAV-1" } ], "streams": [ "UAV" ], "relevance_signals": [ "UAV" ], "auto_exclude_reason": "EC-4", "screening_status": "auto_excluded", "screened_by": "auto-v1.0.0" }, { "id": "doi:10.46254/na09.20240125", "doi": "10.46254/na09.20240125", "title": "Parcel Consolidation In Last Mile Delivery by Vehicle and Drone", "year": 2024, "authors": [ "Semih Boz", "Ahmed A. Ghoniem", "Amro M. El-Adle" ], "first_author": "Semih Boz", "venue": null, "volume": null, "pages": null, "type": "conference-paper", "language": "en", "abstract": "We study parcel consolidation within the context of last-mile delivery, employing both a vehicle and a companion drone to efficiently serve customers across multiple time periods. We present a mixed-integer program and an optimization-based heuristic to address large-scale instances. The efficacy of our methodology is assessed through computational experiments on randomly generated instances, focusing on a residential network in Amherst, Massachusetts.", "keywords": [ "Drone", "Mile", "Last mile (transportation)", "Consolidation (business)", "Aeronautics", "Computer science", "Transport engineering", "Engineering", "Geography", "Business", "Geodesy" ], "cited_by_openalex": 0, "cited_by_scopus": 0, "eid": null, "pii": null, "open_access_url": "https://ieomsociety.org/proceedings/2024northamerica/125.pdf", "sources": [ { "db": "openalex", "stream": "UAV", "query_id": "UAV-1" } ], "streams": [ "UAV" ], "relevance_signals": [ "UAV" ], "auto_exclude_reason": null, "screening_status": "pending_human_screening", "screened_by": "auto-v1.0.0" }, { "id": "doi:10.12794/metadc2356206", "doi": "10.12794/metadc2356206", "title": "Drones in Last-Mile Delivery: Multifaceted Insights from Stakeholders", "year": 2024, "authors": [ "Vipul Kumar Garg" ], "first_author": "Vipul Kumar Garg", "venue": null, "volume": null, "pages": null, "type": "dissertation", "language": "en", "abstract": "Through a systematic exploration of varied but interconnected landscapes, this dissertation investigates how drone technology not only reshapes individual sectors but also interlinks them, fostering a cohesive advancement toward a more efficient and technologically integrated future. By focusing on drone applications in last-mile deliveries, medical supplies, and aerospace innovations, this work contributes robust insights into the strategic adoption of drone technology, offering guidelines for policymakers, industry stakeholders, and academic scholars aiming to navigate and leverage the potentials of this groundbreaking technological frontier. Each essay within this dissertation builds upon these themes, presenting in-depth analyses and discussions that bridge theoretical knowledge with practical applications. By addressing specific challenges and opportunities within each sector, this comprehensive study contributes to academic research. It provides actionable insights for practitioners and policymakers engaged in the cutting-edge realms of logistics, healthcare delivery, and aerospace development.", "keywords": [ "Drone", "Mile", "Last mile (transportation)", "Computer science", "Aeronautics", "Business", "Engineering", "Geography", "Biology" ], "cited_by_openalex": 0, "cited_by_scopus": 0, "eid": null, "pii": null, "open_access_url": "https://doi.org/10.12794/metadc2356206", "sources": [ { "db": "openalex", "stream": "UAV", "query_id": "UAV-1" } ], "streams": [ "UAV" ], "relevance_signals": [ "UAV" ], "auto_exclude_reason": null, "screening_status": "pending_human_screening", "screened_by": "auto-v1.0.0" }, { "id": "doi:10.2139/ssrn.4791422", "doi": "10.2139/ssrn.4791422", "title": "A Multistage Stochastic Programming Approach for Drone-Supported Humanitarian Last-Mile Logistics System Planning", "year": 2024, "authors": [ "Zhongyi Jin", "Kam K.H. Ng", "Chenliang Zhang", "Ying Chan", "Yichen Qin" ], "first_author": "Zhongyi Jin", "venue": "SSRN Electronic Journal", "volume": null, "pages": null, "type": "preprint", "language": "en", "abstract": null, "keywords": [ "Drone", "Mile", "Last mile (transportation)", "Humanitarian Logistics", "Computer science", "Operations research", "Stochastic programming", "Operations management", "Business", "Aeronautics", "Engineering", "Mathematical optimization" ], "cited_by_openalex": 0, "cited_by_scopus": 0, "eid": null, "pii": null, "open_access_url": "https://doi.org/10.2139/ssrn.4791422", "sources": [ { "db": "openalex", "stream": "UAV", "query_id": "UAV-1" }, { "db": "openalex", "stream": "UAV", "query_id": "UAV-3" } ], "streams": [ "UAV" ], "relevance_signals": [ "UAV" ], "auto_exclude_reason": null, "screening_status": "pending_human_screening", "screened_by": "auto-v1.0.0" }, { "id": "doi:10.70675/36c00cb8ze9f4z4603z96edz0a3c9e808799", "doi": "10.70675/36c00cb8ze9f4z4603z96edz0a3c9e808799", "title": "Multi-Objective Optimization and Development of a Last-Mile Delivery System Combining Drones and Public Transportation", "year": 2024, "authors": [ "Mohammed Rahmani" ], "first_author": "Mohammed Rahmani", "venue": null, "volume": null, "pages": null, "type": "dissertation", "language": null, "abstract": "Optimisation multi-objectives et développement d’un système de livraison du dernier ilomètre ixant rrones et transports public La livraison urbaine du dernier kilomètre est confrontée à des défis tels que la congestion du trafic, les préoccupations environnementales et les coûts élevés. Cette thèse propose un système de livraison intelligent intégrant des drones avec les transports en commun pour améliorer l'efficacité et la durabilité. Les drones autonomes voyagent sur les transports publics (par exemple, les bus et tramways), complétant ainsi la dernière étape de livraison. Cette approche réduit l'impact environnemental et étend la portée de livraison des drones. Notre recherche aborde des défis clés tels que l'adaptation aux retards stochastiques dans les horaires des transports en commun, l'optimisation de la consommation d'énergie, la minimisation du temps de livraison et l'assurance d'une communication efficace. Pour relever ces défis, nous nous sommes basé sur des algorithmes de planification de trajectoire basés sur l'apprentissage par renforcement, utilisés pour permettre aux drones de s'ajuster dynamiquement aux conditions urbaines en temp réel, améliorantainsi le processus de livraison du dernier kilomètre. Les principales contributions incluent : (i) Une première analyse comparative de la consommation d'énergie et du temps de livraison entre le système mixte drones/transports publics et un système exclusivement basé sur les drones. Le système mixte se révèle plus économe en énergie mais légèrement plus lent en raison des retards des transports publics. (ii) Le développement d'un algorithme basé sur le l’apprentissage par renforcement type Q-learning pour planifier des trajectoires optimisées en termes d'énergie et de délais de livraison dans des environnements urbains dynamiques. (iii) L'extension du Q-learning pour minimiser les interférences de communication des drones, surpassant ainsi les algorithmes traditionnels. (iv) L'exploration des Q-networks fédérées pour améliorer la planification de trajectoires pour plusieurs drones tout en garantissant la confidentialité des données et en augmentant la scalabilité du système. Les résultats suggèrent que ce système mixte peut considérablement améliorer l'efficacité et la durabilité de la livraison du dernier kilomètre dans la logistique urbaine.", "keywords": [ "Publics", "Air transport", "Drone" ], "cited_by_openalex": 0, "cited_by_scopus": 0, "eid": null, "pii": null, "open_access_url": "https://doi.org/10.70675/36c00cb8ze9f4z4603z96edz0a3c9e808799", "sources": [ { "db": "openalex", "stream": "UAV", "query_id": "UAV-1" } ], "streams": [ "UAV" ], "relevance_signals": [ "UAV" ], "auto_exclude_reason": null, "screening_status": "pending_human_screening", "screened_by": "auto-v1.0.0" }, { "id": "doi:10.1007/978-3-031-74501-0_14", "doi": "10.1007/978-3-031-74501-0_14", "title": "Parcel Delivery with Eco-Friendly Drone Technologies", "year": 2024, "authors": [ "Gabriele Barrile", "Clemente Maesano", "Sonia Calluso", "Piero Francesco Spano’" ], "first_author": "Gabriele Barrile", "venue": "Lecture notes in networks and systems", "volume": "1183 LNNS", "pages": "133-138", "type": "conference-paper", "language": "en", "abstract": null, "keywords": [ "Drone", "Environmentally friendly", "Computer science", "Architectural engineering", "Engineering", "Biology", "Ecology" ], "cited_by_openalex": 0, "cited_by_scopus": "0", "eid": "2-s2.0-85210317849", "pii": null, "open_access_url": "https://doi.org/10.1007/978-3-031-74501-0_14", "sources": [ { "db": "openalex", "stream": "UAV", "query_id": "UAV-1" }, { "db": "scopus", "stream": "UAV", "query_id": "UAV-1" } ], "streams": [ "UAV" ], "relevance_signals": [ "UAV" ], "auto_exclude_reason": null, "screening_status": "pending_human_screening", "screened_by": "auto-v1.0.0" }, { "id": "doi:10.22214/ijraset.2024.60039", "doi": "10.22214/ijraset.2024.60039", "title": "SkyLogistics - The Complete Drone Delivery Solution", "year": 2024, "authors": [ "Chetan Rawarkar" ], "first_author": "Chetan Rawarkar", "venue": "International Journal for Research in Applied Science and Engineering Technology", "volume": null, "pages": null, "type": "article", "language": "en", "abstract": "Abstract: SkyLogistics introduces an innovative drone delivery system aimed at transforming last-mile logistics. Fueled by the growing demand for swift and reliable package delivery solutions, our approach integrates hardware design, software development, and user interface enhancements to deliver seamless experiences. Extensive testing underscores SkyLogistics' exceptional delivery precision, speed, and customer satisfaction while complying with airspace regulations and safety standards. Overcoming challenges like regulatory conformity and scalability, SkyLogistics sets the stage for future advancements in dronebased transportation systems.", "keywords": [ "Drone", "Swift", "Scalability", "Computer science", "Interface (matter)", "Delivery system", "Systems engineering", "Last mile (transportation)", "Conformity assessment", "Software", "Embedded system", "Engineering" ], "cited_by_openalex": 0, "cited_by_scopus": 0, "eid": null, "pii": null, "open_access_url": "http://dx.doi.org/10.22214/ijraset.2024.60039", "sources": [ { "db": "openalex", "stream": "UAV", "query_id": "UAV-1" } ], "streams": [ "UAV" ], "relevance_signals": [ "UAV" ], "auto_exclude_reason": null, "screening_status": "pending_human_screening", "screened_by": "auto-v1.0.0" }, { "id": "doi:10.2139/ssrn.5061024", "doi": "10.2139/ssrn.5061024", "title": "Data Collection and Analytics Using Mobile Phones for Safe Landing and Takeoff Procedures of Last-Mile Delivery Drones", "year": 2024, "authors": [ "Joel Stenroos", "Harry Edelman", "Jussi Kalliola" ], "first_author": "Joel Stenroos", "venue": "SSRN Electronic Journal", "volume": null, "pages": null, "type": "preprint", "language": "en", "abstract": null, "keywords": [ "Mile", "Drone", "Takeoff", "Aeronautics", "Analytics", "Last mile (transportation)", "Computer science", "Data collection", "Engineering", "Data science", "Aerospace engineering", "Geography" ], "cited_by_openalex": 0, "cited_by_scopus": 0, "eid": null, "pii": null, "open_access_url": "https://doi.org/10.2139/ssrn.5061024", "sources": [ { "db": "openalex", "stream": "UAV", "query_id": "UAV-1" }, { "db": "openalex", "stream": "UAV", "query_id": "UAV-3" } ], "streams": [ "UAV" ], "relevance_signals": [ "UAV" ], "auto_exclude_reason": null, "screening_status": "pending_human_screening", "screened_by": "auto-v1.0.0" }, { "id": "doi:10.1007/978-981-97-5098-6_104", "doi": "10.1007/978-981-97-5098-6_104", "title": "Urban Logistics Drone Delivery Route Planning: An Application of Operation Research Towards Smart Cities", "year": 2024, "authors": [ "Rui Qiu", "Yu Ding", "Jidi Cao", "Shuhua Hou" ], "first_author": "Rui Qiu", "venue": "Lecture notes on data engineering and communications technologies", "volume": "215", "pages": "1525-1537", "type": "conference-paper", "language": "en", "abstract": null, "keywords": [ "Drone", "City logistics", "Transport engineering", "Business", "Engineering" ], "cited_by_openalex": 0, "cited_by_scopus": "0", "eid": "2-s2.0-85201315848", "pii": null, "open_access_url": "https://doi.org/10.1007/978-981-97-5098-6_104", "sources": [ { "db": "openalex", "stream": "UAV", "query_id": "UAV-1" }, { "db": "scopus", "stream": "UAV", "query_id": "UAV-1" } ], "streams": [ "UAV" ], "relevance_signals": [ "UAV" ], "auto_exclude_reason": null, "screening_status": "pending_human_screening", "screened_by": "auto-v1.0.0" }, { "id": "title:optimizing last mile deliveries with new technology and strategies", "doi": null, "title": "Optimizing Last-Mile Deliveries with New Technology and Strategies", "year": 2024, "authors": [ "Iivo Huopaniemi" ], "first_author": "Iivo Huopaniemi", "venue": "Theseus (Ammattikorkeakoulujen)", "volume": null, "pages": null, "type": "dissertation", "language": "en", "abstract": "The popularity of online shopping and e-commerce has skyrocketed in the recent years. This change in consumer behavior has brought forward numerous new challenges, in the context of the final mile of logistics. These challenges come especially in the form of the three dimensions of sustainability: environment, social, and economic sustainability. In order to combat these challenges, logistics companies now look for new ways of optimizing their last mile delivery (LMD) systems. This process of optimization involves new technologies and strategies, which companies are scrambling to consider, test, and implement. Newly surfaced technologies such as electric vehicles (EV), unmanned aerial vehicles (UAV), and autonomous ground vehicles (AGV), continue to show impressive potential for last mile delivery applications, while newly surfaced strategies, such as underground logistics systems (ULS), pickup points, and crowdshipping show potential for usage of new technologies in them. Together, the new technologies and strategies aim to make last mile deliveries sustainable, improving the environmental, social, and economic conditions of consumers and companies in urban areas alike.", "keywords": [ "Last mile (transportation)", "Popularity", "Context (archaeology)", "Emerging technologies", "Mile", "Process (computing)" ], "cited_by_openalex": 0, "cited_by_scopus": 0, "eid": null, "pii": null, "open_access_url": "http://www.theseus.fi/handle/10024/884313", "sources": [ { "db": "openalex", "stream": "UAV", "query_id": "UAV-1" } ], "streams": [ "UAV" ], "relevance_signals": [ "UAV" ], "auto_exclude_reason": null, "screening_status": "pending_human_screening", "screened_by": "auto-v1.0.0" }, { "id": "doi:10.1504/ijor.2024.10063707", "doi": "10.1504/ijor.2024.10063707", "title": "Bi-objective multiple drones and trucks combined operation parcel delivery", "year": 2024, "authors": [ "Rohit Titiyal", "Shalabh Singh", "Bhawesh Sah", "Sonia Singh" ], "first_author": "Rohit Titiyal", "venue": "International Journal of Operational Research", "volume": null, "pages": null, "type": "article", "language": "en", "abstract": "Inderscience is a global company, a dynamic leading independent journal publisher disseminates the latest research across the broad fields of science, engineering and technology; management, public and business administration; environment, ecological economics and sustainable development; computing, ICT and internet/web services, and related areas.", "keywords": [ "Drone", "Truck", "Computer science", "Environmental science", "Operations research", "Transport engineering", "Automotive engineering", "Mathematics", "Engineering" ], "cited_by_openalex": 0, "cited_by_scopus": 0, "eid": null, "pii": null, "open_access_url": "https://doi.org/10.1504/ijor.2024.10063707", "sources": [ { "db": "openalex", "stream": "UAV", "query_id": "UAV-1" } ], "streams": [ "UAV" ], "relevance_signals": [ "UAV", "TRUCK" ], "auto_exclude_reason": null, "screening_status": "pending_human_screening", "screened_by": "auto-v1.0.0" }, { "id": "doi:10.2139/ssrn.4745362", "doi": "10.2139/ssrn.4745362", "title": "Intelligent Parcel Delivery Scheduling Using Truck-Drones to Cut Down Time and Cost", "year": 2024, "authors": [ "Tamer Ahmed Farrag", "Mai A. Farag", "Mostafa A. Elhosseini", "Aboul Ella Hassanien", "Heba Askr" ], "first_author": "Tamer Ahmed Farrag", "venue": "SSRN Electronic Journal", "volume": null, "pages": null, "type": "preprint", "language": "en", "abstract": null, "keywords": [ "Drone", "Truck", "Scheduling (production processes)", "Computer science", "Transport engineering", "Operations research", "Real-time computing", "Engineering", "Operations management", "Automotive engineering" ], "cited_by_openalex": 0, "cited_by_scopus": 0, "eid": null, "pii": null, "open_access_url": "https://doi.org/10.2139/ssrn.4745362", "sources": [ { "db": "openalex", "stream": "UAV", "query_id": "UAV-1" } ], "streams": [ "UAV" ], "relevance_signals": [ "UAV", "TRUCK" ], "auto_exclude_reason": null, "screening_status": "pending_human_screening", "screened_by": "auto-v1.0.0" }, { "id": "doi:10.65109/tymt8044", "doi": "10.65109/tymt8044", "title": "MiKe: Task Scheduling for UAV-based Parcel Delivery", "year": 2024, "authors": [ "Viviana Arrigoni", "Giulio Attenni", "Novella Bartolini", "Matteo Finelli", "Gaia Maselli" ], "first_author": "Viviana Arrigoni", "venue": null, "volume": null, "pages": null, "type": "conference-paper", "language": "en", "abstract": "Unmanned aerial vehicle (UAV) networks represent an ecological alternative to truck-based delivery systems, especially in urban areas prone to traffic congestion. In this paper, we formalize MiKe as the problem of assigning deliveries to a fleet of drones to minimize the time makespan. We solve this problem with a polynomial-time algorithm, P&D, which outperforms other state-of-the-art solutions.", "keywords": [ "Scheduling (production processes)", "Drone", "Task (project management)", "Job shop scheduling" ], "cited_by_openalex": 0, "cited_by_scopus": 0, "eid": null, "pii": null, "open_access_url": "https://dl.acm.org/doi/pdf/10.5555/3635637.3663086?download=true", "sources": [ { "db": "openalex", "stream": "UAV", "query_id": "UAV-1" } ], "streams": [ "UAV" ], "relevance_signals": [ "UAV", "TRUCK" ], "auto_exclude_reason": null, "screening_status": "pending_human_screening", "screened_by": "auto-v1.0.0" }, { "id": "doi:10.4230/lipics.fsttcs.2024.17", "doi": "10.4230/lipics.fsttcs.2024.17", "title": "Two Results on LPT: A Near-Linear Time Algorithm and Parcel Delivery Using Drones", "year": 2024, "authors": [ "L. Sunil Chandran", "Rishikesh R. Gajjala", "Mehra, Shravan", "Saladi Rahul" ], "first_author": "L. Sunil Chandran", "venue": "arXiv (Cornell University)", "volume": "323", "pages": null, "type": "preprint", "language": "en", "abstract": "The focus of this paper is to increase our understanding of the Longest Processing Time First (LPT) heuristic. LPT is a classical heuristic for the fundamental problem of uniform machine scheduling. For different machine speeds, LPT was first considered by Gonzalez et al (SIAM J. Computing, 1977). Since then, extensive work has been done to improve the approximation factor of the LPT heuristic. However, all known implementations of the LPT heuristic take $O(mn)$ time, where $m$ is the number of machines and $n$ is the number of jobs. In this work, we come up with the first near-linear time implementation for LPT. Specifically, the running time is $O((n+m)(\\log^2{m}+\\log{n}))$. Somewhat surprisingly, the result is obtained by mapping the problem to dynamic maintenance of lower envelope of lines, which has been well studied in the computational geometry community. Our second contribution is to analyze the performance of LPT for the Drones Warehouse Problem (DWP), which is a natural generalization of the uniform machine scheduling problem motivated by drone-based parcel delivery from a warehouse. In this problem, a warehouse has multiple drones and wants to deliver parcels to several customers. Each drone picks a parcel from the warehouse, delivers it, and returns to the warehouse (where it can also get charged). The speeds and battery lives of the drones could be different, and due to the limited battery life, each drone has a bounded range in which it can deliver parcels. The goal is to assign parcels to the drones so that the time taken to deliver all the parcels is minimized. We prove that the natural approach of solving this problem via the LPT heuristic has an approximation factor of $ϕ$, where $ϕ\\approx 1.62$ is the golden ratio.", "keywords": [ "Drone", "Computer science", "Algorithm" ], "cited_by_openalex": 0, "cited_by_scopus": "0", "eid": "2-s2.0-85213343956", "pii": null, "open_access_url": "https://arxiv.org/pdf/2407.16323", "sources": [ { "db": "openalex", "stream": "UAV", "query_id": "UAV-1" }, { "db": "scopus", "stream": "UAV", "query_id": "UAV-1" } ], "streams": [ "UAV" ], "relevance_signals": [ "UAV" ], "auto_exclude_reason": null, "screening_status": "pending_human_screening", "screened_by": "auto-v1.0.0" }, { "id": "title:implementing unmanned aerial vehicle uav delivery system in the courier services industry a systemat", "doi": null, "title": "Implementing Unmanned Aerial Vehicle (UAV) delivery system in the courier services industry: a systematic review and research trends", "year": 2024, "authors": [ "Nik Nur Zaheerah Abdul Rahman", "Wan Marhaini Wan Omar", "Syerina Azlin Md Nasir" ], "first_author": "Nik Nur Zaheerah Abdul Rahman", "venue": "UiTM Institutional Repositories (Universiti Teknologi MARA)", "volume": null, "pages": null, "type": "review", "language": "en", "abstract": "Unmanned aerial vehicles, or drones, are becoming increasingly popular and are impacting package delivery services by presenting both opportunities and challenges. This research aims to explore the potential of UAVs for last-mile deliveries, their capability to reach remote locations, and the new business opportunities they can generate, particularly in the courier services industry. To gain a competitive edge, courier service companies in emerging markets need to be proactive in understanding the key factors contributing to the acceptance of last-mile UAV delivery services. Hence, the goal of this study is to review the existing literature related to UAV implementation in the courier services industry. A systematic review was employed to gain insight and evaluate the literature. The PRISMA review method was utilized to classify the articles obtained from two reputable bibliographic databases, Web of Science and Scopus, resulting in a limited dataset of 64articles published between 2014 and 2024. The findings revealed that numerous articles were found in the Webof Science database, with the highest number of publications coming from the USA and China. Additionally, most of the articles have been published in International Transactions in Operational Research and Transportation Research Part E: Logistics and Transportation Review. Furthermore, a substantial number of publications are from the business and economics research domain. The study also highlights several research directions to enhance UAV delivery in the courier service industry in the future.", "keywords": [ "Service delivery framework", "Service (business)", "Systematic review", "Key (lock)", "Delivery system", "Web of science", "Information system" ], "cited_by_openalex": 0, "cited_by_scopus": 0, "eid": null, "pii": null, "open_access_url": "https://ir.uitm.edu.my/view/publication/Conference_e-Proceedings_International_Conference_on_Business_and_Social_Sustainability_=28ICOBSS2024=29.html>,", "sources": [ { "db": "openalex", "stream": "UAV", "query_id": "UAV-1" } ], "streams": [ "UAV" ], "relevance_signals": [ "UAV" ], "auto_exclude_reason": null, "screening_status": "pending_human_screening", "screened_by": "auto-v1.0.0" }, { "id": "doi:10.17825/klr.2024.34.5.65", "doi": "10.17825/klr.2024.34.5.65", "title": "A Discussion of the Demand Technology Through Last-Mile Business Data Analysis : ESG, Domestics Courier Value Chain Aspects", "year": 2024, "authors": [ "Byung-mo Coo" ], "first_author": "Byung-mo Coo", "venue": "한국물류학회지", "volume": null, "pages": null, "type": "article", "language": "en", "abstract": "In the Road-map, which made ESG information disclosure mandatory announced by the Korean government in January 2021, environmental and social information will be applied to KOSPI-listed companies with assets of 2 trillion won or more from 2026 and expanded to all KOSPI-listed companies by 2030. This paper analyzed the courier industry, which is a representative industry in the Last-mile service market that constitutes the closest relationship with ESG, by PESTLE methodology. As a result of the analysis, in terms of P/L, four technologies were derived: the development of the daily logistics service industry, the increase in the number of delivery vehicles, how to permit the freight transport business for delivery, and the day on which delivery is off. In terms of E/S, the ratio of single-person households, the number of single-person households, and dual-income couples. In terms of domestic technology of T, the smart logistics center certification system, the delivery HUB terminal-centered AMR, and AGV technology. In terms of global technology, four technologies, including Algoriths and analytics, Delivery drone, Delivery robot, Driverless/Autonomous cars, and O2O sharing economy business model, a special law on the improvement of the air environment in the air management area, and a half-price delivery of convenience stores were derived from the E side. The derived issues and required technology were divided into the hardware part, the parcel supply chain, and the software part, the ESG part, and the implications for ESG’s EㆍSㆍG were presented together with the picture.", "keywords": [ "Last mile (transportation)", "Mile", "Business", "Value (mathematics)", "Computer science", "Geography" ], "cited_by_openalex": 0, "cited_by_scopus": 0, "eid": null, "pii": null, "open_access_url": "https://doi.org/10.17825/klr.2024.34.5.65", "sources": [ { "db": "openalex", "stream": "UAV", "query_id": "UAV-1" } ], "streams": [ "UAV" ], "relevance_signals": [ "UAV" ], "auto_exclude_reason": null, "screening_status": "pending_human_screening", "screened_by": "auto-v1.0.0" }, { "id": "title:droning on to delivery examining the energy impacts of using drones for moving goods", "doi": null, "title": "Droning on to Delivery: Examining the Energy Impacts of Using Drones for Moving Goods", "year": 2024, "authors": [ "Victor Walker" ], "first_author": "Victor Walker", "venue": "OSTI OAI (U.S. Department of Energy Office of Scientific and Technical Information)", "volume": null, "pages": null, "type": "article", "language": "en", "abstract": "The demand for fast, localized delivery has grown significantly in recent years. Whether for cheesy snacks, prepared food, medical solutions, or business deliveries, fast and efficient delivery is increasingly a demand and differentiator. Drone delivery in the freight sector offers to revolutionize last-mile logistics and improve services. This research analyzes the impacts of drone energy for delivery operations, aiming to compare various types of drones (large and small, rotary and VTOL) and various types of business methods. The project executes novel open-air and laboratory-based testing to look at the impacts of weights, operations, temperatures and weather conditions. The study combines this real-world experimental data with fleet optimization mathematical models to assess energy consumption of different scenarios as well as examine the minimum fleet size and additional battery requirements. These fleet optimization models compare energy between types of deployments with existing delivery methods. The model was also extended to look at mixed fleets of aerial drones and ground vehicles to accommodate different restrictions on drones or when weather prohibits their use. The analysis provided insights into factors such as drone design, payload weight, flight distance, weather conditions and operational parameters and impacts of each. It showed how to combine different types of vehicles to reduce energy and improve services. And it showed that drone speed, routing restrictions, and unfavorable weather significantly influence energy consumption. Our open experiment data and optimization models can assist stakeholders and industry in understanding drone package delivery and offers keys to improving deployment.", "keywords": [ "Drone", "Energy (signal processing)", "Computer science", "Business", "Environmental economics", "Economics", "Physics" ], "cited_by_openalex": 0, "cited_by_scopus": 0, "eid": null, "pii": null, "open_access_url": "https://www.osti.gov/servlets/purl/2283555", "sources": [ { "db": "openalex", "stream": "UAV", "query_id": "UAV-1" }, { "db": "openalex", "stream": "UAV", "query_id": "UAV-2" } ], "streams": [ "UAV" ], "relevance_signals": [ "UAV" ], "auto_exclude_reason": null, "screening_status": "pending_human_screening", "screened_by": "auto-v1.0.0" }, { "id": "doi:10.60143/ijls.v10.i1.2024.125", "doi": "10.60143/ijls.v10.i1.2024.125", "title": "Drones and Privacy: The Indian Story", "year": 2024, "authors": [ "Abhishek Dua" ], "first_author": "Abhishek Dua", "venue": "International Journal of Law and Social Sciences", "volume": null, "pages": null, "type": "article", "language": "en", "abstract": "In the 21st century, the industry of drones, also known as Unmanned Aerial Vehicles (UAVs) or Remote Piloted Aircraft Systems (RPAS), has witnessed an exponential growth, more so in civilian applications, such as surveillance and parcel delivery. From its traditional use in military operations for over a century, drones have readily been introduced in various industries ranging from agriculture, media, mining, insurance to mention a few, due to its revolutionary benefits and affordability. However, the use of drone technology has its pitfalls too. Its intricate software and hardware have the ability to use a variety of sensors to gather information/data from unique vantage points-for long periods and on a continuous basis. The prospect of having every move, every action, being monitored and possibly recorded, raises grave privacy concerns. This paper is aimed to offer a brief introduction to the concept of drones, associated privacy risks/concerns, the extant regulatory regime and finally concludes with suggestions and countermeasures to mitigate the risk.", "keywords": [ "Drone", "Internet privacy", "Computer security", "History", "Computer science", "Biology", "Genetics" ], "cited_by_openalex": 0, "cited_by_scopus": 0, "eid": null, "pii": null, "open_access_url": "https://www.journalsalliancepub.com/index.php/ijls/article/download/125/98", "sources": [ { "db": "openalex", "stream": "UAV", "query_id": "UAV-1" } ], "streams": [ "UAV" ], "relevance_signals": [ "UAV" ], "auto_exclude_reason": null, "screening_status": "pending_human_screening", "screened_by": "auto-v1.0.0" }, { "id": "doi:10.26258/heal.hua.1080", "doi": "10.26258/heal.hua.1080", "title": "Το Τελευταίο Μίλι (Last Mile) στις Αστικές Διανομές μετά την Πανδημία: Εξέλιξη, Προοπτικές και η Στάση των Καταναλωτών", "year": 2024, "authors": [ "Ελένη Πολύζου", "Eleni Polyzou" ], "first_author": "Ελένη Πολύζου", "venue": "Harokopio University", "volume": null, "pages": null, "type": "other", "language": "el", "abstract": "Υπόβαθρο: Η πανδημία COVID-19 μετασχημάτισε τις εφοδιαστικές αλυσίδες, καθιστώντας δημοφιλή την παράδοση last mile. Σκοπός: Η εξέταση των στάσεων των καταναλωτών έναντι της παράδοσης last mile. Μεθοδολογία: Χορηγήθηκε ένα σχετικό ερωτηματολόγιο σε ένα δείγμα 185 ατόμων του γενικού πληθυσμού. Η χορήγηση του ερωτηματολογίου πραγματοποιήθηκε διαδικτυακά. Το ερωτηματολόγιο αποτελούνταν από κοινωνικοδημογραφικά δεδομένα, ερωτήσεις για τη χρήση του last mile και ερωτήσεις για την αποτίμηση όσον αφορά το last mile. Αποτελέσματα: Αρχικά, η συντριπτική πλειονότητα των συμμετεχόντων φάνηκε να χρησιμοποιεί τις υπηρεσίες last mile, παρά τη σημαντική διακύμανση των φορών που τις έχουν χρησιμοποιήσει το τελευταίο εξάμηνο. Σε γενικές ωστόσο γραμμές, οι συμμετέχοντες της έρευνας είχαν χρησιμοποιήσει τις σχετικές αυτές υπηρεσίες από 1 έως 10 φορές (70.01%). Δεύτερον, υπήρχε μία μεγάλη ετερογένεια σχετικά με την πρώτη φορά χρήσης μιας τέτοιας υπηρεσίας, αφού ορισμένοι συμμετέχοντες είχαν αρχίσει να χρησιμοποιούν την υπηρεσία κατά τη διάρκεια της πανδημίας, άλλοι μετά την πανδημία και, το μεγαλύτερο ποσοστό με 44.3%, πριν από την πανδημία. Περίπου ένας στους τρεις συμμετέχοντες πληροφορήθηκε για πρώτη φορά για τη σχετική αυτή υπηρεσία από το διαδίκτυο, ενώ το 1/4 των συμμετεχόντων πληροφορήθηκε από κάποια εταιρεία. Τα βασικά πλεονεκτήματα της υπηρεσίας είναι η μεγαλύτερη ευκολία και η οικονομία χρόνου. Η περιγραφική ανάλυση οδήγησε στη διαπίστωση πως σχεδόν όλοι οι συμμετέχοντες πήγαιναν για παραλαβή του προϊόντος από την έξυπνη θυρίδα είτε μέσω συμβατικού αυτοκινήτου είτε με τα πόδια. Οι συμμετέχοντες, περίπου 2 στους 3, επιθυμούσαν να φτάνουν σε αυτούς τα προϊόντα μέσω αυτοκινήτου, με τους περισσότερους, συγκεκριμένα το 42,7%, να επιλέγει το ηλεκτρικό αυτοκίνητο. Ελάχιστοι συμμετέχοντες, μόλις το 9.2%, προτίμησαν την ιδιαίτερα καινοτόμο μέθοδο των drone. Μία άλλη διαπίστωση της έρευνας έχει να κάνει με απόσταση που θα δέχονταν να διανύσουν οι συμμετέχοντες για να παραλάβουν ένα προϊόν από μία έξυπνη θυρίδα. Οι συμμετέχοντες δέχονταν να διανύσουν σε γενικές γραμμές πολύ μικρές αποστάσεις, με μόλις το 7.1% των συμμετεχόντων να δεχόταν να διανύσει μία απόσταση μεγαλύτερη των 5 km. Η αποτίμηση των συμμετεχόντων για την παράδοση last mile ήταν ιδιαίτερα θετική, με μόνη παράμετρο που δεν αξιολογήθηκε θετικά την περαιτέρω χρέωση των υπηρεσιών, αφού οι συμμετέχοντες ήταν σε μέτριο βαθμό 9 διαθέσιμοι να πληρώσουν παραπάνω. Τέλος, τα κοινωνικοδημογραφικά χαρακτηριστικά των συμμετεχόντων δεν σχετίζονταν σε μεγάλο βαθμό με την αποτίμησή τους για τις υπηρεσίες last mile, με εξαίρεση το εκπαιδευτικό επίπεδο, αφού οι συμμετέχοντες υψηλότερου εκπαιδευτικού επιπέδου είχαν και πιο θετική αποτίμηση. Συμπεράσματα: Στη χώρα μας, χρησιμοποιούνται οι υπηρεσίες last mile σε ικανό βαθμό. Ωστόσο, ορισμένες προτιμήσεις των χρηστών, όπως η ικανή προτίμηση για παράδοση των προϊόντων με αυτοκίνητα συμβατικής καύσης, ενδεχομένως να είναι επιζήμιες για το περιβάλλον. Περαιτέρω έμφαση πρέπει να δοθεί από όσους χαράσσουν σχετικές πολιτικές στην περιβαλλοντική βιωσιμότητα του last mile.", "keywords": [ "Work (physics)", "Term (time)", "Product (mathematics)" ], "cited_by_openalex": 0, "cited_by_scopus": 0, "eid": null, "pii": null, "open_access_url": "https://doi.org/10.26258/heal.hua.1080", "sources": [ { "db": "openalex", "stream": "UAV", "query_id": "UAV-1" } ], "streams": [ "UAV" ], "relevance_signals": [ "UAV" ], "auto_exclude_reason": "EC-4", "screening_status": "auto_excluded", "screened_by": "auto-v1.0.0" }, { "id": "doi:10.54254/2755-2721/2024.18741", "doi": "10.54254/2755-2721/2024.18741", "title": "Collaborative optimization of urban drone and public transit integration", "year": 2024, "authors": [ "Hairu Jin", "Dan Liu" ], "first_author": "Hairu Jin", "venue": "Applied and Computational Engineering", "volume": null, "pages": null, "type": "article", "language": "en", "abstract": "The efficient and cost-effective delivery of goods ordered online poses a significant challenge in the field of logistics. Many companies are exploring the use of drone technology to streamline delivery times and expenses. In the context of last-mile deliveries, the deployment of drones represents a promising technology that offers environmental and economic advantages. This study focuses on last-mile delivery systems, where a fleet of drones operates in conjunction with public transportation to fulfill customer orders. To address this issue, the paper expands upon a mathematical model based on the Vehicle Routing Problem (VRP). Furthermore, it presents a real-life scenario inspired by Stanford’s transportation paradigm. The findings indicate that optimizing the sequence for visiting customers and public transportation stations has a substantial impact on both remaining power and time efficiency during drone deliveries. Moreover, leveraging public transport vehicles for recharging drones or approaching customers can reduce the required number of drones within service areas, thereby extending their operational lifespan. These results highlight the potential for using public transportation as a mobile charging station to save energy and improve package delivery efficiency in last-mile drone deliveries.", "keywords": [ "Drone", "Transit (satellite)", "Public transport", "Urban transit", "Transport engineering", "Computer science", "Environmental planning", "Regional science", "Geography", "Engineering", "Biology" ], "cited_by_openalex": 0, "cited_by_scopus": 0, "eid": null, "pii": null, "open_access_url": "https://www.ewadirect.com/proceedings/ace/article/view/18741/pdf", "sources": [ { "db": "openalex", "stream": "UAV", "query_id": "UAV-1" }, { "db": "openalex", "stream": "UAV", "query_id": "UAV-2" } ], "streams": [ "UAV" ], "relevance_signals": [ "UAV" ], "auto_exclude_reason": null, "screening_status": "pending_human_screening", "screened_by": "auto-v1.0.0" }, { "id": "doi:10.1007/978-981-97-9243-6_8", "doi": "10.1007/978-981-97-9243-6_8", "title": "Iterated Local Search Metaheuristic for the Vehicle Routing Problem with Drones", "year": 2024, "authors": [ "Tomoya Iseki", "Shun Ito", "Kengo Katayama" ], "first_author": "Tomoya Iseki", "venue": "Lecture notes in electrical engineering", "volume": "856 LNEE", "pages": "89-103", "type": "conference-paper", "language": "en", "abstract": null, "keywords": [ "Drone", "Metaheuristic", "Iterated local search", "Vehicle routing problem", "Local search (optimization)", "Computer science", "Mathematical optimization", "Routing (electronic design automation)", "Iterated function", "Mathematics", "Artificial intelligence", "Computer network" ], "cited_by_openalex": 0, "cited_by_scopus": "0", "eid": "2-s2.0-85211343790", "pii": null, "open_access_url": "https://doi.org/10.1007/978-981-97-9243-6_8", "sources": [ { "db": "openalex", "stream": "UAV", "query_id": "UAV-1" }, { "db": "openalex", "stream": "UAV", "query_id": "UAV-2" }, { "db": "scopus", "stream": "UAV", "query_id": "UAV-1" }, { "db": "scopus", "stream": "UAV", "query_id": "UAV-2" } ], "streams": [ "UAV" ], "relevance_signals": [ "UAV_NO_CTX" ], "auto_exclude_reason": "EC-4-topic", "screening_status": "auto_excluded", "screened_by": "auto-v1.0.0" }, { "id": "doi:10.1109/i3ceet61722.2024.10993565", "doi": "10.1109/i3ceet61722.2024.10993565", "title": "Drones in B5G/6G: Investigating Aerial Terminal Facilities", "year": 2024, "authors": [ "Hassan M. Al‐Jawahry", "N. Kalidas", "Vishal Goyal", "Amrita Singh", "Rohit Shrivastava", "Абдусаттар Жураеич Чориев" ], "first_author": "Hassan M. Al‐Jawahry", "venue": "Proceeding of 2024 International Conference on Communication Computing and Energy Efficient Technologies I3ceet 2024", "volume": null, "pages": "1392-1398", "type": "conference-paper", "language": "en", "abstract": "The demand of high-fidelity, low-latency last-mile communications, together with developments in internet and organization, makes effective handoff procedures imperative. The potential use advanced cellular meanders as airborne base stations for the next wave of cellular frameworks is investigated in this article. Takeoffing In the field of next-generation high-availability communications, post hoc structures that serve as a clustering of transportable exchanges for the on-demand deployment of broadband start to show potential. Beyond that technology, to the sixth phase, the configuration on flexible phone systems has been impacted by the continuous development and broad use of 5G. Mobile phones made it possible to realize the full potential of the many charity organizations that combine setup and pattern-making. Above all, 6G has to demonstrate cutting-edge access technologies and novel, innovative organization topologies. To ensure significance, the job at hand is organized based on fundamental concepts such as movability, center localization, optimum method of action, handover ampleness through essentialness openness, and contrasting multi-objective optimizations. This research looks at ways to improve the current cellular organize center to lower ad hoc foundation operation costs and bring back neglected use cases.", "keywords": [ "Drone", "Terminal (telecommunication)", "Aeronautics", "Computer science", "Aerospace engineering", "Engineering", "Telecommunications" ], "cited_by_openalex": 0, "cited_by_scopus": "0", "eid": "2-s2.0-105007907798", "pii": null, "open_access_url": "https://doi.org/10.1109/i3ceet61722.2024.10993565", "sources": [ { "db": "openalex", "stream": "UAV", "query_id": "UAV-1" }, { "db": "scopus", "stream": "UAV", "query_id": "UAV-1" } ], "streams": [ "UAV" ], "relevance_signals": [ "UAV" ], "auto_exclude_reason": null, "screening_status": "pending_human_screening", "screened_by": "auto-v1.0.0" }, { "id": "doi:10.4103/jme.jme_66_24", "doi": "10.4103/jme.jme_66_24", "title": "Integrating Drones in India’s Healthcare System: Opportunities and Challenges", "year": 2024, "authors": [ "Jitender Gairolla", "Shivashish Dobhal", "Prakamya Gupta", "Dilip Vaishnav", "Meenu Singh" ], "first_author": "Jitender Gairolla", "venue": "Journal of Medical Evidence", "volume": null, "pages": null, "type": "article", "language": "en", "abstract": "INTRODUCTION Despite efforts to improve healthcare infrastructure and delivery, achieving universal access to essential health services remains a formidable challenge, especially in hard-to-reach geographical terrain.[1] Unmanned aerial vehicles, commonly known as drones, have the potential to revolutionise the healthcare sector by providing a faster, more reliable and more efficient means of delivering medicines to remote or inaccessible areas.[2-4] Drones have been effectively utilised during the COVID-19 pandemic to transport medical samples, aerial disinfection and vaccinations in certain parts of the world.[5,6] In addition, drones can be used to transport blood from a recognised medical facility to remote towns or areas in a timely manner, thereby cutting down the wastage in healthcare facilities.[7] The evidence supporting the integration of drone technology into the healthcare system is scant in low-income nations, and its application in healthcare is still developing. ADVANTAGES OF USING DRONES IN HEALTHCARE Drones are a highly versatile technology that has revolutionised the healthcare industry and expanded their applications into various healthcare domains broadly categorised into three areas: medical emergency surveillance, laboratory diagnostic tests and pre-hospital emergency care. The primary advantage of using drones for medicine delivery lies in their ability to overcome geographical barriers and reach remote or isolated regions that are challenging for conventional transportation methods.[4] In rural or underserved communities, where healthcare facilities may be limited, drones offer a lifeline by ensuring that essential medicines reach those in need, promoting better health outcomes. The speed of drone deliveries significantly reduces the time it takes for healthcare logistics (blood products, vaccines, laboratory samples and automated external defibrillators) to reach their destination.[7-10] The use of drones in healthcare delivery also contributes to cost-effectiveness. Drone deliveries have been found to be more cost-efficient than traditional ground transportation methods in various scenarios. By reducing costs, healthcare providers can allocate resources more efficiently, potentially lowering the overall cost of healthcare delivery.[11,12] In addition, safety and security are paramount considerations in medicine delivery, and drones offer features that enhance both aspects. Modern drones come equipped with advanced navigation systems, obstacle avoidance technologies and real-time tracking capabilities, ensuring the safe and secure transportation of medicines.[13] Healthcare delivery is being revolutionised by drones, particularly in remote locations. Their compact size enables them to safely and swiftly deliver medication to hard-to-reach areas.[14,15] This innovation may improve access to healthcare worldwide. However, certain administrative conundrums and legal issues need to be resolved to use this technology effectively. It can be operated quickly and safely because it does not need a pilot. Beyond visual line of sight (BVLOS) technology allows drones to go farther distances safely. Drones have been used in emergency conditions such as cardiac arrest situations to improve prehospital care through operator-led cardiopulmonary resuscitation.[16] Drone-based transportation of laboratory specimens for coagulation-based testing, biochemistry and haematology has also been studied and no significant disparities in biochemical composition after drone flights were observed in studies.[12,17] In 2016, To improve blood accessibility during emergencies, Rwanda, a country in Central Africa has partnered with Zipline International Inc. to employ drones to transport blood between medical facilities. A study demonstrated the efficacy of drone-mediated blood transportation, revealing negligible variations within a 24-h timeframe.[18] Another promising avenue for drone technology is the transportation of vaccines, particularly in remote areas, where its utilisation has been observed in diverse geographical contexts, notably during the COVID-19 pandemic.[10,19,20] In addition, forensic science increasingly uses drones to enhance investigative processes and data collection. Being equipped with high-resolution cameras and deployment of various sensors can quickly assess and document virtually any area in question where traditional access is challenging, namely mass casualty incidents, natural disasters, traffic accident sites or a crime scene.[21] Providing an aerial overview it helps to plan and prioritize response, search and rescue operations, locating victims or missing persons and identify potential evidence or points of interest. Reconstructing events and establishing accountability are aided by information gathered from accident scenes, such as skid markings, vehicle positions and injury patterns. Since drones are not appropriate for controlled situations, they have not been used for autopsies. They can, however, deliver medical samples to forensic laboratories, supporting inquiries in far-flung locations. It is not recommended to use drones indoors because of possible downwash effect.[22] INTEGRATION OF DRONE TECHNOLOGY IN INDIA’S HEALTHCARE LANDSCAPE Due to the inherent geographical challenges and limitations in last-mile connectivity, several Indian states such as Meghalaya, Uttarakhand, Arunachal Pradesh and Himachal Pradesh have recently conducted successful field trials using drone technology for the delivery of emergency medical supplies and the transport of diagnostic samples.[5,23,24] India is investigating the application of drones for healthcare delivery, yet it confronts ethical and legal dilemmas. It is imperative to establish frameworks considering privacy, airspace management and regulatory adherence to ensure safe and responsible deployment.[25] Establishing standards for incorporating drones into the healthcare supply chain will require cooperation between", "keywords": [ "Drone", "Health care", "Healthcare system", "Business", "Economic growth", "Biology", "Economics" ], "cited_by_openalex": 0, "cited_by_scopus": 0, "eid": null, "pii": null, "open_access_url": "https://doi.org/10.4103/jme.jme_66_24", "sources": [ { "db": "openalex", "stream": "UAV", "query_id": "UAV-1" } ], "streams": [ "UAV" ], "relevance_signals": [ "UAV" ], "auto_exclude_reason": null, "screening_status": "pending_human_screening", "screened_by": "auto-v1.0.0" }, { "id": "doi:10.32657/10356/180356", "doi": "10.32657/10356/180356", "title": "Fault-tolerant strategies for multi-rotor parcel delivery", "year": 2024, "authors": [ "Jun Tan" ], "first_author": "Jun Tan", "venue": null, "volume": null, "pages": null, "type": "dissertation", "language": "en", "abstract": "Drones have revolutionized various industries, offering versatile applications from surveillance to agriculture and disaster response. Specifically in urban aerial delivery, their agility streamlines parcel transportation, reducing environmental impact. However, deploying drones in cities poses challenges regarding fault tolerance. Mechanical faults like actuator or sensor failures risk stability, while software issues can disrupt control and functionality. Dynamics faults alter flight capabilities and environmental factors like weather impact performance. To counter these, strategies involve mechanical solutions redistributing control inputs or facilitating emergency landings, software solutions ensuring stability despite faults, and introducing redundancy through backup components like actuators, sensors, and power systems, collectively fortifying drone reliability and safety in complex urban settings. With multi-rotors being vulnerable to a spectrum of faults, it presents a challenge to further strengthen them as pivotal assets in aerial delivery by enabling fault tolerance capabilities on top of their existing agility and adaptability. Therefore, the motivation of this thesis is to enhance drones' fault tolerance capabilities on 3 fronts. The first is to address environmental faults in the form of imagery noises that occur during aerial parcel delivery, specifically during landing operations. The second is to address hardware faults in the form of rotor failure during aerial parcel delivery, specifically when the drone is in flight. The last is to address dynamics faults in the form of change in dynamics such as the change in mass, size, and center of mass due to different parcel requirements. Following the motivation, the objective of this thesis is to devise and apply a range of methodologies to systematically tackle faults and failures within an aerial system. This overarching goal can be segmented into three specific sub-objectives. The first is to devise a software solution to address positional inaccuracy due to imagery noise produced by the external interaction during drone landing. The second is to devise a hardware solution to address in-flight rotor failure, a common mechanical fault in drones. And the last is to devise a hardware solution to address the changes in the center of mass, size, and, mass of a parcel, which is classified under dynamics faults. The first objective involves implementing a pixel-based path-planning algorithm to enhance an aerial system's resilience against image noise, allowing precision tasks like landing on moving platforms. This method integrates an extended Kalman filter and Nonlinear Model Predictive Control into the control architecture, proving more effective than existing approaches through experimental validations. The second objective addresses rotor failures on a hexacopter by introducing a geometric morphing mechanism that adjusts rotor arms to redefine thrust location, ensuring near-zero static hover post-failure. The system employs event-triggered sliding mode control and Multivariable Nonlinear Terminal Sliding Mode Control to maintain stability during single or adjacent rotor failures, validated experimentally. Finally, the third objective establishes a decentralized, modular aerial delivery system adaptable to various parcel sizes and masses. It utilizes a decentralized controller with a Graph Neural Network-based policy and a module placement planning workflow driven by neural network-trained measuring scales, showcasing effectiveness in flights with different parcel configurations in experimental tests. The proposed pixel-based path-planning algorithm enables the UAV to land on both static and moving platforms. For moving platforms, the UAV is capable of detecting and tracking the platform as it moves at a speed of 1.5 m/s, maintaining vertical separation, and successfully landing once the landing sequence is triggered. This method demonstrates higher tracking accuracy, achieving about a 75% reduction in RMS error compared to existing literature. Additionally, the morphing hexacopter, equipped with an MNTSMC strategy, can sustain flight even with two adjacent rotor failures - an event that would typically result in the crash of a conventional hexacopter. The event-triggered morphing sequence, powered by a trained feed-forward neural network, can adjust the arms via servos to reach 50% of the desired angle within 0.8 seconds. Further analysis reveals that a higher event-triggering gain leads to a faster morphing response. Moreover, in the decentralized modular aerial delivery system, a dynamic scale with neural network logic can accurately measure parcel parameters, including mass, size, and center of mass, and determine the optimal placement of the modules. Flight experiments show that a shift in the center of mass in a conventional multi-rotor layout significantly impacts the system's flight performance, particularly in terms of power efficiency when analyzing thrust variation. These experiments also demonstrate how modular systems can be reconfigured to recover power efficiency and maneuverability by adjusting rotor placements. Achieving fault tolerance in diverse aerial platforms poses a formidable challenge due to the absence of a universal solution for various scenarios. Nonetheless, prioritizing fault tolerance is crucial for enhancing drone safety and reliability, particularly in densely populated urban environments, and exploring diverse strategies in this regard expands the potential applications of drones across different domains.", "keywords": [ "Rotor (electric)", "Fault tolerance", "Computer science", "Engineering", "Distributed computing", "Reliability engineering", "Mechanical engineering" ], "cited_by_openalex": 0, "cited_by_scopus": 0, "eid": null, "pii": null, "open_access_url": "https://doi.org/10.32657/10356/180356", "sources": [ { "db": "openalex", "stream": "UAV", "query_id": "UAV-1" }, { "db": "openalex", "stream": "UAV", "query_id": "UAV-3" } ], "streams": [ "UAV" ], "relevance_signals": [ "UAV" ], "auto_exclude_reason": null, "screening_status": "pending_human_screening", "screened_by": "auto-v1.0.0" }, { "id": "doi:10.1016/b978-0-12-814462-6.00008-4", "doi": "10.1016/b978-0-12-814462-6.00008-4", "title": "Reverse urban logistics", "year": 2024, "authors": [ "Rosàrio Macário", "Vasco Reis", "Juan Pablo Antún" ], "first_author": "Rosàrio Macário", "venue": "Elsevier eBooks", "volume": null, "pages": null, "type": "book-chapter", "language": "en", "abstract": null, "keywords": [ "Business", "Computer science" ], "cited_by_openalex": 0, "cited_by_scopus": 0, "eid": null, "pii": null, "open_access_url": "https://doi.org/10.1016/b978-0-12-814462-6.00008-4", "sources": [ { "db": "openalex", "stream": "UAV", "query_id": "UAV-1" } ], "streams": [ "UAV" ], "relevance_signals": [ "NO_TECHNOLOGY_MATCH" ], "auto_exclude_reason": "EC-4-topic", "screening_status": "auto_excluded", "screened_by": "auto-v1.0.0" }, { "id": "doi:10.4018/979-8-3693-1447-0", "doi": "10.4018/979-8-3693-1447-0", "title": "Theories and Practices for Sustainable Urban Logistics", "year": 2024, "authors": [ "Lingkon, HI", "Ali, SI" ], "first_author": "Lingkon, HI", "venue": "Advances in logistics, operations, and management science book series", "volume": null, "pages": null, "type": "book", "language": "en", "abstract": "Sustainability has become more critical in logistics and transportation, especially in Last-Mile Delivery (LMD). Electronic Vehicles (EVs), Electronic(E)-bicycles, Cargo bikes, and Drones are alternative solutions to the existing Internal Combustion Engine (ICE) vehicles that enable low environmental and economic impact. However, they may require a higher investment and have constraints like battery autonomy, small loading capacity, and higher electricity production to meet the demand. This chapter aims to explore the environmental and economic impact of electronic vehicles, as well as the operational challenges and barriers to achieving sustainability. Hence, a thorough literature review is necessary to understand the scholarly work in the area. The study employs the Systematic Literature Review (SLR) to extract data from the Scopus database from 2019-2023. Thirty-two articles were reviewed. The descriptive and thematic analyses have identified the environmental, economic, and social components related to the distribution methods, delivery methods and perceived sustainability.", "keywords": [ "Business", "City logistics", "Environmental planning", "Process management", "Transport engineering", "Geography", "Engineering" ], "cited_by_openalex": 0, "cited_by_scopus": 0, "eid": null, "pii": null, "open_access_url": "http://dx.doi.org/10.4018/979-8-3693-1447-0", "sources": [ { "db": "openalex", "stream": "UAV", "query_id": "UAV-1" } ], "streams": [ "UAV" ], "relevance_signals": [ "UAV" ], "auto_exclude_reason": null, "screening_status": "pending_human_screening", "screened_by": "auto-v1.0.0" }, { "id": "doi:10.48550/arxiv.2407.12286", "doi": "10.48550/arxiv.2407.12286", "title": "Bayesian Optimization for Fast Radio Mapping and Localization with an Autonomous Aerial Drone", "year": 2024, "authors": [ "Paul S. Kudyba", "Qin Lu", "Haijian Sun" ], "first_author": "Paul S. Kudyba", "venue": "arXiv (Cornell University)", "volume": null, "pages": null, "type": "preprint", "language": "en", "abstract": "This paper explores how a flying drone can autonomously navigate while constructing a narrowband radio map for signal localization. As flying drones become more ubiquitous, their wireless signals will necessitate new wireless technologies and algorithms to provide robust radio infrastructure while preserving radio spectrum usage. A potential solution for this spectrum-sharing localization challenge is to limit the bandwidth of any transmitter beacon. However, location signaling with a narrow bandwidth necessitates improving a wireless aerial system's ability to filter a noisy signal, estimate the transmitter's location, and self-pilot to improve the location estimate. By showing results through simulation, emulation, and a final drone flight experiment, this work provides an algorithm using a Gaussian process for radio signal estimation and Bayesian optimization for drone automatic guidance. This research supports advanced radio and aerial robotics applications in critical areas such as search-and-rescue, last-mile delivery, and large-scale platform digital twin development.", "keywords": [ "Drone", "Bayesian optimization", "Bayesian probability", "Computer science", "Artificial intelligence", "Bayesian network", "Biology" ], "cited_by_openalex": 0, "cited_by_scopus": 0, "eid": null, "pii": null, "open_access_url": "https://arxiv.org/pdf/2407.12286", "sources": [ { "db": "openalex", "stream": "UAV", "query_id": "UAV-1" } ], "streams": [ "UAV" ], "relevance_signals": [ "UAV" ], "auto_exclude_reason": null, "screening_status": "pending_human_screening", "screened_by": "auto-v1.0.0" }, { "id": "doi:10.54097/0st6q879", "doi": "10.54097/0st6q879", "title": "Ribbit Autonomous Drone Network in E-commerce: Statistical Modeling and Optimization", "year": 2024, "authors": [ "Zhihao Liu" ], "first_author": "Zhihao Liu", "venue": "Highlights in Science Engineering and Technology", "volume": null, "pages": null, "type": "article", "language": "en", "abstract": "This study delves into the integration of the Ribbit Autonomous Drone Network within the e-commerce sector, aiming to assess its potential through statistical modeling and optimization. The Ribbit network, with its fleet of drones, promises to revolutionize last-mile delivery by offering faster, more efficient, and environmentally friendly solutions compared to traditional ground transportation. The abstract summarizes the study's objectives, challenges, and findings, emphasizing the significance of addressing operational constraints and optimizing drone operations for e-commerce logistics. The study identifies key challenges such as the variability in package dimensions and weights, the need for real-time tracking, and the dynamic nature of e-commerce demand, which includes seasonal fluctuations. It also highlights the importance of regulatory compliance, energy efficiency, and public acceptance in the successful deployment of autonomous drone networks. Data collection and preprocessing are crucial steps in the model development process, ensuring that the dataset accurately reflects the operational realities and can be effectively used for analysis. The study employs statistical modeling to predict delivery times, energy consumption, and cost efficiency, providing actionable insights for strategic decision-making. It also evaluates the economic and environmental impact of the Ribbit network, suggesting that with the right technological and operational strategies, it can meet the high demands of e-commerce while reducing carbon emissions and operational costs. The analysis reveals that the Ribbit network can handle peak demand periods and adapt to changing consumer behaviors, offering a scalable and sustainable solution for e-commerce logistics.", "keywords": [ "Drone", "E-commerce", "Computer science", "World Wide Web" ], "cited_by_openalex": 0, "cited_by_scopus": 0, "eid": null, "pii": null, "open_access_url": "https://drpress.org/ojs/index.php/HSET/article/download/28221/27714", "sources": [ { "db": "openalex", "stream": "UAV", "query_id": "UAV-1" } ], "streams": [ "UAV" ], "relevance_signals": [ "UAV" ], "auto_exclude_reason": null, "screening_status": "pending_human_screening", "screened_by": "auto-v1.0.0" }, { "id": "doi:10.58915/ijact.v4.2024.1579", "doi": "10.58915/ijact.v4.2024.1579", "title": "Optimizing Drone-Based Delivery Using the Pity Beetle Algorithm A Novel Approach.", "year": 2024, "authors": [ "Yugeswary Kanesen" ], "first_author": "Yugeswary Kanesen", "venue": "International Journal of Advanced Communication Technology (IJACT)", "volume": null, "pages": null, "type": "article", "language": "en", "abstract": "The Travelling Salesman Problem with Drones (TSP-D) has emerged as a significant optimization challenge in last-mile delivery systems. Addressing scalability issues with datasets exceeding 250 nodes, this study introduces the Pity Beetle Algorithm (PBA), a novel metaheuristic. The PBA demonstrates superior performance in balancing exploration and exploitation to optimize delivery routes effectively. Results from new simulations conducted for this journal show delivery time reductions in a broader range of scenarios, with improvements up to 60% over standard benchmarks. Statistical analyses confirm the algorithm’s capability to enhance computational efficiency and scalability. Additionally, the PBA’s dynamic tuning mechanisms enable it to adapt effectively to varying dataset sizes and configurations. Beyond its computational benefits, this study underscores the real-world applicability of the PBA in logistics, providing industries with a robust tool to optimize delivery times and reduce operational costs. This research opens avenues for integrating PBA with hybrid models and real-time optimization techniques, further enhancing its potential to tackle complex logistical challenges.", "keywords": [ "Drone", "Pity", "Computer science", "Algorithm", "Artificial intelligence", "Biology", "Art", "Literature", "Botany" ], "cited_by_openalex": 0, "cited_by_scopus": 0, "eid": null, "pii": null, "open_access_url": "https://ejournal.unimap.edu.my/index.php/ijact/article/download/1579/1030", "sources": [ { "db": "openalex", "stream": "UAV", "query_id": "UAV-1" }, { "db": "openalex", "stream": "UAV", "query_id": "UAV-3" } ], "streams": [ "UAV" ], "relevance_signals": [ "UAV" ], "auto_exclude_reason": null, "screening_status": "pending_human_screening", "screened_by": "auto-v1.0.0" }, { "id": "doi:10.2139/ssrn.4725041", "doi": "10.2139/ssrn.4725041", "title": "Distribution Route Optimization Under Joint Distribution Mode of Drones and Vehicles Based on the Meta-Heuristic Algorithm", "year": 2024, "authors": [ "Wusheng Liu", "Wang Li", "Yiping Xiao", "Qian Tan" ], "first_author": "Wusheng Liu", "venue": "SSRN Electronic Journal", "volume": null, "pages": null, "type": "preprint", "language": "en", "abstract": null, "keywords": [ "Meta heuristic", "Drone", "Mode (computer interface)", "Distribution (mathematics)", "Heuristic", "Joint (building)", "Computer science", "Mathematical optimization", "Algorithm", "Engineering", "Mathematics", "Structural engineering" ], "cited_by_openalex": 0, "cited_by_scopus": 0, "eid": null, "pii": null, "open_access_url": "https://doi.org/10.2139/ssrn.4725041", "sources": [ { "db": "openalex", "stream": "UAV", "query_id": "UAV-1" } ], "streams": [ "UAV" ], "relevance_signals": [ "UAV_NO_CTX" ], "auto_exclude_reason": "EC-4-topic", "screening_status": "auto_excluded", "screened_by": "auto-v1.0.0" }, { "id": "doi:10.2139/ssrn.4883806", "doi": "10.2139/ssrn.4883806", "title": "Travel Route and Formation Optimization for Flocks of Drones in Package Delivery by Using an Aco Based V-Shape Algorithm", "year": 2024, "authors": [ "Erik De Kuyffer", "Toon De Pessemier", "Wout Joseph", "Luc Martens" ], "first_author": "Erik De Kuyffer", "venue": "SSRN Electronic Journal", "volume": null, "pages": null, "type": "preprint", "language": "en", "abstract": null, "keywords": [ "Flock", "Drone", "Computer science", "Algorithm", "Mathematical optimization", "Mathematics", "Biology", "Medicine", "Veterinary medicine" ], "cited_by_openalex": 0, "cited_by_scopus": 0, "eid": null, "pii": null, "open_access_url": "http://dx.doi.org/10.2139/ssrn.4883806", "sources": [ { "db": "openalex", "stream": "UAV", "query_id": "UAV-1" } ], "streams": [ "UAV" ], "relevance_signals": [ "UAV" ], "auto_exclude_reason": null, "screening_status": "pending_human_screening", "screened_by": "auto-v1.0.0" }, { "id": "title:conception optimale de drones electriques une approche multidisciplinaire avec analyse des incertitu", "doi": null, "title": "Conception optimale de drones électriques : une approche multidisciplinaire avec analyse des incertitudes, de la tolérance aux pannes et des impacts environnementaux.", "year": 2024, "authors": [ "Félix Pollet" ], "first_author": "Félix Pollet", "venue": "HAL (Le Centre pour la Communication Scientifique Directe)", "volume": null, "pages": null, "type": "dissertation", "language": "en", "abstract": "Unmanned aerial vehicles (UAVs) have undergone intensive development in recent years. Owing to their cost-effectiveness and versatility, UAVs are expected to gain popularity in a wide range of applications, such as parcel delivery, power line monitoring and precision farming. Concurrently, the development of new technologies and their integration into various drone concepts is expanding the range of design alternatives. This is driving the need for holistic design approaches with better technology integration, faster development time and greater modularity.The thesis develops and implements a methodology for the conceptual design of electric multirotor, fixed-wing and hybrid vertical take-off and landing (VTOL) UAVs. The framework enables the optimal sizing of a UAV from arbitrary specifications on the mission, technological choices and architecture, using a comprehensive multidisciplinary approach.Starting from a set of analytical models including scaling laws and regressions, a generic sizing methodology is developed. The proposed methodology relies on an efficient multidisciplinary design and optimization (MDO) formulation, which enables fast convergence to the UAV candidate with best performances. In particular, the application of this approach enables to rapidly assess the effects of changes in the requirements. Next, the uncertainties surrounding the models and the availability of optimal components on the market are assessed. To mitigate critical uncertainties in UAV performance, the sizing methodology is extended to allow the design to be optimized using catalogues of existing components instead of models. Finally, the thesis develops two specific aspects of UAV design related to regulatory and societal challenges. On the one hand, recent regulations issued by the European Union Aviation Safety Agency (EASA) impose a level of safety for specific categories of UAVs. To this end, an approach is proposed to assess the controllability of various architectures in the event of failures. The assessment is further linked to the design framework to achieve fault-tolerance sizing of the rotors and control surfaces. On the other hand, societal acceptance of UAVs is strongly related to environmental concerns, including but not limited to climate change and resource consumption. This challenge is addressed by developing and integrating an environmental discipline into the design framework. The novel approach enables to assess the sensitivity of environmental impacts to mission requirements and technological assumptions, as well as minimizing environmental burdens at the earliest design stages.The thesis contributes to the development of a unified framework for optimizing the design of electric UAVs with a holistic approach. As such, it is relevant to future UAVs designed for applications subject to market, regulatory and environmental issues.", "keywords": [ "Drone", "Sizing", "Multidisciplinary approach", "Set (abstract data type)", "European union", "Aviation", "Conceptual design", "Range (aeronautics)" ], "cited_by_openalex": 0, "cited_by_scopus": 0, "eid": null, "pii": null, "open_access_url": "https://hal.science/tel-04657928", "sources": [ { "db": "openalex", "stream": "UAV", "query_id": "UAV-1" } ], "streams": [ "UAV" ], "relevance_signals": [ "UAV" ], "auto_exclude_reason": null, "screening_status": "pending_human_screening", "screened_by": "auto-v1.0.0" }, { "id": "title:o papel da sensibilizacao e da percecao na aceitacao do consumidor e na reputacao da empresa reputac", "doi": null, "title": "O papel da sensibilização e da perceção na aceitação do consumidor e na reputação da empresa reputação da empresa nos serviços de entrega por drones", "year": 2024, "authors": [ "Madalena Maria Tavares Pita" ], "first_author": "Madalena Maria Tavares Pita", "venue": "Repositório do ISCTE-IUL", "volume": null, "pages": null, "type": "dissertation", "language": "en", "abstract": "As e-commerce expands rapidly, companies seek solutions to inefficiencies in last-mile logistics, with drone delivery services emerging as a potential answer. However, in Lisbon, consumer awareness and acceptance of drone technology remain limited compared to other European regions. This dissertation examines how awareness impacts consumer perceptions and acceptance of drone delivery services while exploring the relatively underexplored impact on corporate reputation. While prior research has addressed the benefits and concerns of drone delivery, few studies have focused on how adopting this innovation affects a company's reputation. This research fills that gap by evaluating consumer perceptions and the potential organizational impact. Based on survey data from 229 residents of Lisbon, the study investigates three key areas: (1) how demographic factors such as age, gender, education, and income influence perceptions of drone delivery benefits and concerns; (2) how online shopping behavior shapes these perceptions; and (3) how awareness of drone delivery services affects both consumer attitudes and company reputation. The findings indicate that younger consumers are more favorable toward drone delivery, particularly regarding its environmental impact and efficiency, while older respondents are more skeptical. Frequent online shoppers view drone services as operational improvements, though concerns about reliability and costs remain. Awareness is critical in shaping positive perceptions of drone delivery and enhancing a company’s reputation as innovative and trustworthy. This research provides strategic insights for companies, suggesting that raising awareness, addressing operational concerns, and targeting younger consumers can improve both acceptance and corporate reputation.", "keywords": [ "Drone", "Reputation", "Perception", "Social media", "Best practice", "Consumer behaviour" ], "cited_by_openalex": 0, "cited_by_scopus": 0, "eid": null, "pii": null, "open_access_url": "http://hdl.handle.net/10071/32814", "sources": [ { "db": "openalex", "stream": "UAV", "query_id": "UAV-1" } ], "streams": [ "UAV" ], "relevance_signals": [ "UAV" ], "auto_exclude_reason": null, "screening_status": "pending_human_screening", "screened_by": "auto-v1.0.0" }, { "id": "doi:10.2139/ssrn.4898285", "doi": "10.2139/ssrn.4898285", "title": "Hsr+ Uavs: Solution of Improving Transportation Efficiency in Response to Major Public Health Emergencies", "year": 2024, "authors": [ "Qinghong Zhang", "Chang Cai", "Yinghui Wang", "Chunshuo Jiang", "Pei Xu", "Qiuling Wang", "Yunxiao Li" ], "first_author": "Qinghong Zhang", "venue": "SSRN Electronic Journal", "volume": null, "pages": null, "type": "preprint", "language": "en", "abstract": null, "keywords": [ "Emergency response", "Business", "Public health", "Transport engineering", "Disaster response", "Public transport", "Computer science", "Medical emergency", "Engineering", "Emergency management", "Medicine", "Economics" ], "cited_by_openalex": 0, "cited_by_scopus": 0, "eid": null, "pii": null, "open_access_url": "http://dx.doi.org/10.2139/ssrn.4898285", "sources": [ { "db": "openalex", "stream": "UAV", "query_id": "UAV-1" } ], "streams": [ "UAV" ], "relevance_signals": [ "UAV_NO_CTX" ], "auto_exclude_reason": "EC-4-topic", "screening_status": "auto_excluded", "screened_by": "auto-v1.0.0" }, { "id": "doi:10.1109/icccnt61001.2024.10725026", "doi": "10.1109/icccnt61001.2024.10725026", "title": "Adaptive Route Planning Solutions for Autonomous UAVs in Telecommunications Networks", "year": 2024, "authors": [ "Sudeshna Sarkar", "Shiv Shankar Shankar", "Kantharaj I K" ], "first_author": "Sudeshna Sarkar", "venue": "2024 15th International Conference on Computing Communication and Networking Technologies Icccnt 2024", "volume": null, "pages": null, "type": "conference-paper", "language": "en", "abstract": "Self-sustaining unmanned aerial vehicle (UAVs) offers a promising answer for the last-mile, networks for virtual telecommunications offerings in faraway, inaccessible areas. As such, the development of adaptive course-making plans answers for self-sustaining UAVs in such networks is critical if you want to enable efficient, dependable, and cost-powerful operations over huge networks. This paper proposes a novel adaptive course planning answer for UAVs in telecommunications networks. The proposed version is on a complete route optimization technique, which mixes the conventional shortest route hassle with probabilistic optimization strategies. The model uses updated daters pattern records generate the most efficient path network with updated latency, least congestion, and maximum reliable communication. The proposed solution then permits the aerial and regulates its course dynamically to deal with time-structured versions within the drift. The technique additionally pays updated attention to the different sorts of link traits and node capacities in the proposed route to date, optimizes the available sources, and holds a minimal transmission time. Furthermore, the proposed answer, in addition, includes a green insurance search and optimization set of rules that estimate the excellent route with the least for a given mission as a way to streamline the UAV’s route planning process.", "keywords": [ "Computer science", "Telecommunications", "Computer network" ], "cited_by_openalex": 0, "cited_by_scopus": "0", "eid": "2-s2.0-85211091762", "pii": null, "open_access_url": "http://dx.doi.org/10.1109/icccnt61001.2024.10725026", "sources": [ { "db": "openalex", "stream": "UAV", "query_id": "UAV-1" }, { "db": "scopus", "stream": "UAV", "query_id": "UAV-1" } ], "streams": [ "UAV" ], "relevance_signals": [ "UAV" ], "auto_exclude_reason": null, "screening_status": "pending_human_screening", "screened_by": "auto-v1.0.0" }, { "id": "title:piggybacking on uav package delivery systems to enable aerial wireless network in 6g", "doi": null, "title": "Piggybacking on UAV Package Delivery Systems to Enable Aerial Wireless Network in 6G", "year": 2024, "authors": [ "Jeong Min Kong" ], "first_author": "Jeong Min Kong", "venue": "TSpace (University of Toronto)", "volume": null, "pages": null, "type": "dissertation", "language": null, "abstract": "Various literature explored the idea of deploying unmanned aerial vehicles (UAVs) as last-mile package delivery agents or aerial wireless base stations in recent years. Despite the extensive exploration of these applications, nearly all of the studies assumed that the UAVs are serving just one service, and not both simultaneously; however, for reasons such as heavy traffic congestion in the sky, it seems more suitable for the UAVs to be serving both services concurrently. Stemming from the observation that there are various ongoing industrial projects in UAV-based package delivery, we investigate the possibility of piggybacking on UAV-based package delivery infrastructures to also provide wireless coverage, and address the problem of designing UAV trajectories that maximize the downlink cumulative sum rate of the ground communication users while simultaneously delivering packages under strict delivery time constraints with deep Q-learning. To conclude, we discuss several open problems in this new aerial network framework.", "keywords": [ "Base station", "Telecommunications link", "Wireless", "Wireless network", "Drone" ], "cited_by_openalex": 0, "cited_by_scopus": 0, "eid": null, "pii": null, "open_access_url": "http://hdl.handle.net/1807/138084", "sources": [ { "db": "openalex", "stream": "UAV", "query_id": "UAV-1" } ], "streams": [ "UAV" ], "relevance_signals": [ "UAV" ], "auto_exclude_reason": null, "screening_status": "pending_human_screening", "screened_by": "auto-v1.0.0" }, { "id": "doi:10.48550/arxiv.2412.11590", "doi": "10.48550/arxiv.2412.11590", "title": "A Real-Time System for Scheduling and Managing UAV Delivery in Urban Areas", "year": 2024, "authors": [ "Han Liu", "Tian Liu", "Kai Huang" ], "first_author": "Han Liu", "venue": "arXiv (Cornell University)", "volume": null, "pages": null, "type": "preprint", "language": "en", "abstract": "As urban logistics demand continues to grow, UAV delivery has become a key solution to improve delivery efficiency, reduce traffic congestion, and lower logistics costs. However, to fully leverage the potential of UAV delivery networks, efficient swarm scheduling and management are crucial. In this paper, we propose a real-time scheduling and management system based on the ``Airport-Unloading Station\" model, aiming to bridge the gap between high-level scheduling algorithms and low-level execution systems. This system, acting as middleware, accurately translates the requirements from the scheduling layer into specific execution instructions, ensuring that the scheduling algorithms perform effectively in real-world environments. Additionally, we implement three collaborative scheduling schemes involving autonomous ground vehicles (AGVs), unmanned aerial vehicles (UAVs), and ground staff to further optimize overall delivery efficiency. Through extensive experiments, this study demonstrates the rationality and feasibility of the proposed management system, providing practical solution for the commercial application of UAVs delivery in urban. Code: https://github.com/chengji253/UAVDeliverySystem", "keywords": [ "Scheduling (production processes)", "Computer science", "Real-time computing", "Operations management", "Engineering" ], "cited_by_openalex": 0, "cited_by_scopus": 0, "eid": null, "pii": null, "open_access_url": "https://arxiv.org/pdf/2412.11590", "sources": [ { "db": "openalex", "stream": "UAV", "query_id": "UAV-1" } ], "streams": [ "UAV" ], "relevance_signals": [ "UAV" ], "auto_exclude_reason": null, "screening_status": "pending_human_screening", "screened_by": "auto-v1.0.0" }, { "id": "doi:10.1007/978-3-031-57523-5_4", "doi": "10.1007/978-3-031-57523-5_4", "title": "Development of a 3D Visualization Interface for Virtualized UAVs", "year": 2024, "authors": [ "Chloé Riviere", "Jamie Wubben", "Carlos T. Calafate", "Tahiry Razafindralambo" ], "first_author": "Chloé Riviere", "venue": "Lecture notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering", "volume": "519 LNICST", "pages": "44-55", "type": "conference-paper", "language": "en", "abstract": null, "keywords": [ "Visualization", "Interface (matter)", "Computer science", "Human–computer interaction", "Operating system", "Artificial intelligence" ], "cited_by_openalex": 0, "cited_by_scopus": "0", "eid": "2-s2.0-85193609018", "pii": null, "open_access_url": "https://hal.univ-reunion.fr/hal-04531959/file/2023_12_SIMUTools_3D_UAV_visualization.pdf", "sources": [ { "db": "openalex", "stream": "UAV", "query_id": "UAV-1" }, { "db": "scopus", "stream": "UAV", "query_id": "UAV-1" } ], "streams": [ "UAV" ], "relevance_signals": [ "UAV_NO_CTX" ], "auto_exclude_reason": "EC-4-topic", "screening_status": "auto_excluded", "screened_by": "auto-v1.0.0" }, { "id": "doi:10.57945/manara.hbku.31989888.v1", "doi": "10.57945/manara.hbku.31989888.v1", "title": "Efficient Management of Resource-Constrained UAV Swarms in Critical Applications", "year": 2024, "authors": [ "Marwan Dhuheir" ], "first_author": "Marwan Dhuheir", "venue": "Qatar National Library", "volume": null, "pages": null, "type": "dissertation", "language": null, "abstract": "Unmanned aerial vehicles (UAVs) have attracted significant attention due to their advantages over traditional techniques in critical applications, such as surveillance, search and rescue operations, provision of wireless communication services to ground users, and last-mile package delivery. Their ability to access remote or hazardous areas while minimizing human risk has paved the way for innovative solutions in diverse fields. In critical applications, the efficient management of resource-constrained UAV swarms is imperative to ensure the high efficiency of utilizing UAVs in their missions. However, adopting UAVs in critical applications such as surveillance and post-disaster scenarios presents a myriad of challenges that demand careful consideration. In surveillance-based scenarios, end-to-end latency and limited available resources onboard UAVs pose critical challenges for UAVs to complete their mission successfully. Addressing the challenge of latency in communication is essential, as low-latency data transmission is crucial for surveillance-based applications. Moreover, UAVs' constrained computation and memory capabilities pose significant hurdles in critical applications that require real-time data processing and decision-making. Another critical application is utilizing UAVs to provide services in post-disaster situations. Several challenges need to be addressed to ensure the efficient use of UAVs in post-disaster applications. Among these challenges is the inherent limitation of energy resources available onboard UAVs. Striking a delicate balance between optimizing mission duration and minimizing energy consumption necessitates sophisticated energy-aware path planning algorithms and alternative energy harvesting solutions. The maximization of the throughput of data collected from distributed Internet of Things (IoT) devices on the ground further complicates matters, requiring intelligent and advanced algorithms to guide the UAVs throughout their missions. Achieving optimal coverage and connectivity in wireless communication systems demands adaptive swarm formations, adding complexity in dynamic and unpredictable environments. The maximum flight duration of UAVs, restricted by onboard power, poses a critical constraint, especially in scenarios with prolonged mission requirements. Lastly, adhering to strict time deadlines for collected data in critical applications demands real-time processing capabilities and adaptive algorithms. Addressing these multifaceted challenges is pivotal for the successful deployment of resource-constrained UAV swarms in critical applications where efficiency, reliability, and responsiveness are paramount.Overcoming the challenges of UAVs in critical applications demands efficient management of their available resources. Efficient management of UAV swarms not only ensures UAV mission success but also enhances the utilization of the limited UAV resources, reduces operational costs, and extends the overall lifespan of the UAVs. Advanced algorithms enable UAVs to navigate the covered area, optimizing energy consumption, energy harvesting, wireless communication coverage, throughput of the data collected from IoT devices, and end-to-end latency. Addressing the challenges of obtaining precise and real-time solutions for efficient management of UAVs resources encounters significant obstacles due to the rapid environmental changes and the complexity of solving nonlinear equations. State-of-the-art approaches such as optimization-based, game-theoretic-based, and heuristic-based approaches are expected to face substantial constraints in addressing the efficient resource management of UAVs problems due to their limited scalability, inadequate adaptability, high computational demands, restrictive information exchange, and reliance on solving nonlinear equations. Consequently, AI-driven solutions have emerged as a transformative solution to tackle these challenges across diverse scenarios. In particular, recent advancements in deep reinforcement learning (DRL) techniques have emerged as promising and practical techniques to navigate UAVs path planning issues within wireless networks. DRL-based methods for UAVs efficient resource management have demonstrated efficient outcomes, outperforming or achieving comparable performance to conventional approaches requiring high complexity due to solving nonlinear equations.This research study provides practical solutions for managing resource-constrained UAV swarms in two main scenarios. The first scenario focuses on utilizing UAVs for surveillance applications, optimizing end-to-end latency in distributed inference of neural networks while considering limited UAV resources. The primary goal is to ensure reliable data transmission among UAVs, employing a novel approach that exploits onboard resources to locally make classification decisions, eliminating the need for data relay to remote servers. The second approach is utilizing UAVs to provide services in post-disaster scenarios. In particular, the UAVs aim to deliver wireless power transfer (WPT) in the downlink channel and data collection from distributed IoT devices on the ground in the uplink channel. This approach aims to optimize critical parameters, including maximizing energy harvesting from IoT devices, data throughput using techniques like reflecting intelligent surfaces (RIS), and coverage of the distributed user elements (UEs) on the ground. It considers practical constraints such as the maximum UAV flight time, the time deadline for collected data, the UAV energy consumption, and the minimum throughput for successful transmission. Finally, our work aims to maximize wireless connectivity coverage to scattered IoT devices on the ground and throughput of collected data by utilizing multiple RIS technologies.", "keywords": [ "Drone", "Energy consumption", "Efficient energy use", "Critical path method", "Wireless", "Search and rescue", "Latency (audio)", "Throughput", "Key (lock)" ], "cited_by_openalex": 0, "cited_by_scopus": 0, "eid": null, "pii": null, "open_access_url": "https://doi.org/10.57945/manara.hbku.31989888.v1", "sources": [ { "db": "openalex", "stream": "UAV", "query_id": "UAV-1" } ], "streams": [ "UAV" ], "relevance_signals": [ "UAV" ], "auto_exclude_reason": null, "screening_status": "pending_human_screening", "screened_by": "auto-v1.0.0" }, { "id": "doi:10.57945/manara.hbku.31989888", "doi": "10.57945/manara.hbku.31989888", "title": "Efficient Management of Resource-Constrained UAV Swarms in Critical Applications", "year": 2024, "authors": [ "Marwan Dhuheir" ], "first_author": "Marwan Dhuheir", "venue": "Qatar National Library", "volume": null, "pages": null, "type": "dissertation", "language": null, "abstract": "Unmanned aerial vehicles (UAVs) have attracted significant attention due to their advantages over traditional techniques in critical applications, such as surveillance, search and rescue operations, provision of wireless communication services to ground users, and last-mile package delivery. Their ability to access remote or hazardous areas while minimizing human risk has paved the way for innovative solutions in diverse fields. In critical applications, the efficient management of resource-constrained UAV swarms is imperative to ensure the high efficiency of utilizing UAVs in their missions. However, adopting UAVs in critical applications such as surveillance and post-disaster scenarios presents a myriad of challenges that demand careful consideration. In surveillance-based scenarios, end-to-end latency and limited available resources onboard UAVs pose critical challenges for UAVs to complete their mission successfully. Addressing the challenge of latency in communication is essential, as low-latency data transmission is crucial for surveillance-based applications. Moreover, UAVs' constrained computation and memory capabilities pose significant hurdles in critical applications that require real-time data processing and decision-making. Another critical application is utilizing UAVs to provide services in post-disaster situations. Several challenges need to be addressed to ensure the efficient use of UAVs in post-disaster applications. Among these challenges is the inherent limitation of energy resources available onboard UAVs. Striking a delicate balance between optimizing mission duration and minimizing energy consumption necessitates sophisticated energy-aware path planning algorithms and alternative energy harvesting solutions. The maximization of the throughput of data collected from distributed Internet of Things (IoT) devices on the ground further complicates matters, requiring intelligent and advanced algorithms to guide the UAVs throughout their missions. Achieving optimal coverage and connectivity in wireless communication systems demands adaptive swarm formations, adding complexity in dynamic and unpredictable environments. The maximum flight duration of UAVs, restricted by onboard power, poses a critical constraint, especially in scenarios with prolonged mission requirements. Lastly, adhering to strict time deadlines for collected data in critical applications demands real-time processing capabilities and adaptive algorithms. Addressing these multifaceted challenges is pivotal for the successful deployment of resource-constrained UAV swarms in critical applications where efficiency, reliability, and responsiveness are paramount.Overcoming the challenges of UAVs in critical applications demands efficient management of their available resources. Efficient management of UAV swarms not only ensures UAV mission success but also enhances the utilization of the limited UAV resources, reduces operational costs, and extends the overall lifespan of the UAVs. Advanced algorithms enable UAVs to navigate the covered area, optimizing energy consumption, energy harvesting, wireless communication coverage, throughput of the data collected from IoT devices, and end-to-end latency. Addressing the challenges of obtaining precise and real-time solutions for efficient management of UAVs resources encounters significant obstacles due to the rapid environmental changes and the complexity of solving nonlinear equations. State-of-the-art approaches such as optimization-based, game-theoretic-based, and heuristic-based approaches are expected to face substantial constraints in addressing the efficient resource management of UAVs problems due to their limited scalability, inadequate adaptability, high computational demands, restrictive information exchange, and reliance on solving nonlinear equations. Consequently, AI-driven solutions have emerged as a transformative solution to tackle these challenges across diverse scenarios. In particular, recent advancements in deep reinforcement learning (DRL) techniques have emerged as promising and practical techniques to navigate UAVs path planning issues within wireless networks. DRL-based methods for UAVs efficient resource management have demonstrated efficient outcomes, outperforming or achieving comparable performance to conventional approaches requiring high complexity due to solving nonlinear equations.This research study provides practical solutions for managing resource-constrained UAV swarms in two main scenarios. The first scenario focuses on utilizing UAVs for surveillance applications, optimizing end-to-end latency in distributed inference of neural networks while considering limited UAV resources. The primary goal is to ensure reliable data transmission among UAVs, employing a novel approach that exploits onboard resources to locally make classification decisions, eliminating the need for data relay to remote servers. The second approach is utilizing UAVs to provide services in post-disaster scenarios. In particular, the UAVs aim to deliver wireless power transfer (WPT) in the downlink channel and data collection from distributed IoT devices on the ground in the uplink channel. This approach aims to optimize critical parameters, including maximizing energy harvesting from IoT devices, data throughput using techniques like reflecting intelligent surfaces (RIS), and coverage of the distributed user elements (UEs) on the ground. It considers practical constraints such as the maximum UAV flight time, the time deadline for collected data, the UAV energy consumption, and the minimum throughput for successful transmission. Finally, our work aims to maximize wireless connectivity coverage to scattered IoT devices on the ground and throughput of collected data by utilizing multiple RIS technologies.", "keywords": [ "Drone", "Energy consumption", "Efficient energy use", "Critical path method", "Wireless", "Search and rescue", "Latency (audio)", "Throughput", "Key (lock)" ], "cited_by_openalex": 0, "cited_by_scopus": 0, "eid": null, "pii": null, "open_access_url": "https://doi.org/10.57945/manara.hbku.31989888", "sources": [ { "db": "openalex", "stream": "UAV", "query_id": "UAV-1" } ], "streams": [ "UAV" ], "relevance_signals": [ "UAV" ], "auto_exclude_reason": null, "screening_status": "pending_human_screening", "screened_by": "auto-v1.0.0" }, { "id": "title:optimizing uav delivery routing for island demand surges a data driven approach to minimize carbon e", "doi": null, "title": "OPTIMIZING UAV DELIVERY ROUTING FOR ISLAND DEMAND SURGES:A DATA-DRIVEN APPROACH TO MINIMIZE CARBON EMISSIONS", "year": 2024, "authors": [ "Jayasuriya, Masha Dilmi", "Fernando, W. Madushan", "Thibbotuwawa, Amila", "Nielsen, Peter; id_orcid 0000-0002-4882-7942" ], "first_author": "Jayasuriya, Masha Dilmi", "venue": "VBN Forskningsportal (Aalborg Universitet)", "volume": "2024-December", "pages": "1098-1108", "type": "conference-paper", "language": "en", "abstract": "Unmanned aerial vehicles (UAVs) offer significant advantages over traditional delivery methods, including vertical take-off and landing capabilities, lower costs, and adaptable transport directly to consumers. Since its inception, the Vehicle Routing Problem (VRP) has seen substantial development, enabling routes to decide that reduce costs and improve the effectiveness of operations. So, integrating the VRP with UAVs, UAV routing aims to find the best combination of routes for UAVs that minimize overall distance or time, while enhancing delivery efficiency. This research focuses on optimizing last-mile UAV delivery for rapid response to demand surges on islands, to overcome accessibility challenges. It demonstrates the comparative advantages of UAVs and provides a data-driven approach to estimating carbon emission reductions. We conducted a detailed cost-benefit analysis comparing UAV delivery with existing boat services, considering factors such as delivery time, operational costs, and carbon emissions, using a Maldives hotel chain as a case study. To be more accurate, a long-term cost-benefit analysis was also performed. The analysis indicates that while UAV implementation may not yield immediate savings in the first two years, significant cost-effectiveness and operational efficiency are achievable from the third year onwards. The research also underscores the environmental sustainability of UAVs, showcasing substantial reductions in fuel consumption and carbon footprint compared to traditional boat delivery methods. On average, UAVs achieve an impressive 85% reduction in carbon emissions. Furthermore, the results show that using UAVs in logistics results in more effective delivery options, particularly in island markets where accessibility and rapid response are crucial to overcome demand surges. Moreover, our model's real-world applicability is supported by assumptions that ensure its relevance to large-scale distribution networks. The implications of this research are significant for decision-makers and policymakers, aiding in the formulation of strategies to adopt and integrate UAVs in practical scenarios.", "keywords": [ "Carbon footprint", "Sustainability", "Greenhouse gas", "Vehicle routing problem", "Routing (electronic design automation)", "Fuel efficiency", "Delivery Performance", "Energy consumption" ], "cited_by_openalex": 0, "cited_by_scopus": "0", "eid": "2-s2.0-105003220744", "pii": null, "open_access_url": "https://vbn.aau.dk/da/publications/5cc00aab-751a-42a9-a60e-1db5fcb026d8", "sources": [ { "db": "openalex", "stream": "UAV", "query_id": "UAV-1" }, { "db": "openalex", "stream": "UAV", "query_id": "UAV-2" }, { "db": "scopus", "stream": "UAV", "query_id": "UAV-1" }, { "db": "scopus", "stream": "UAV", "query_id": "UAV-2" } ], "streams": [ "UAV" ], "relevance_signals": [ "UAV" ], "auto_exclude_reason": null, "screening_status": "pending_human_screening", "screened_by": "auto-v1.0.0" }, { "id": "doi:10.18372/1990-5548.81.19020", "doi": "10.18372/1990-5548.81.19020", "title": "Conceptual Aspect of Measuring the Efficiency of Cargo Unmanned Aerial System", "year": 2024, "authors": [ "Haoyang Li", "Volodymyr P. Kharchenko" ], "first_author": "Haoyang Li", "venue": "Electronics and Control Systems", "volume": null, "pages": null, "type": "article", "language": "en", "abstract": "This article examines the conceptual framework for measuring the efficiency of unmanned systems, focusing on a task-oriented and problem-solving approach to evaluating the performance of cargo unmanned aerial vehicles. The efficiency of cargo unmanned aerial vehicles pertains to their ability to complete missions on time and cost-effectively, while maximizing utilization, minimizing resource loss, and maintaining an acceptable level of flight safety. It is important to highlight that the efficiency of cargo unmanned aerial vehicles is multifaceted, encompassing technical, operational, economic, environmental, and regulatory dimensions. Progress in each of these areas contributes to the successful deployment and optimization of cargo drones across various applications, from last-mile deliveries to supply chain operations in remote regions. The article presents two methodologies for assessing the efficiency of cargo drones.", "keywords": [ "Drone", "Aeronautics", "Systems engineering", "Aerospace engineering", "Computer science", "Marine engineering", "Engineering", "Biology" ], "cited_by_openalex": 0, "cited_by_scopus": 0, "eid": null, "pii": null, "open_access_url": "https://jrnl.nau.edu.ua/index.php/ESU/article/download/19020/26281", "sources": [ { "db": "openalex", "stream": "UAV", "query_id": "UAV-1" } ], "streams": [ "UAV" ], "relevance_signals": [ "UAV" ], "auto_exclude_reason": null, "screening_status": "pending_human_screening", "screened_by": "auto-v1.0.0" }, { "id": "doi:10.1007/978-3-031-67466-2_8", "doi": "10.1007/978-3-031-67466-2_8", "title": "Impacts of Automation in the Supply Chain", "year": 2024, "authors": [ "Andrea Gold", "Anna W. McAuley", "Kristie Chin" ], "first_author": "Andrea Gold", "venue": "Lecture notes in mobility", "volume": "Part F3348", "pages": "89-94", "type": "conference-paper", "language": "en", "abstract": null, "keywords": [ "Supply chain", "Automation", "Business", "Computer science", "Engineering", "Mechanical engineering", "Marketing" ], "cited_by_openalex": 0, "cited_by_scopus": "0", "eid": "2-s2.0-85202442408", "pii": null, "open_access_url": "https://doi.org/10.1007/978-3-031-67466-2_8", "sources": [ { "db": "openalex", "stream": "UAV", "query_id": "UAV-1" }, { "db": "scopus", "stream": "UAV", "query_id": "UAV-1" } ], "streams": [ "UAV" ], "relevance_signals": [ "NO_TECHNOLOGY_MATCH" ], "auto_exclude_reason": "EC-4-topic", "screening_status": "auto_excluded", "screened_by": "auto-v1.0.0" }, { "id": "doi:10.48550/arxiv.2408.11187", "doi": "10.48550/arxiv.2408.11187", "title": "Optimization of Multi-Agent Flying Sidekick Traveling Salesman Problem over Road Networks", "year": 2024, "authors": [ "Ruixiao Yang", "Chuchu Fan" ], "first_author": "Ruixiao Yang", "venue": "arXiv (Cornell University)", "volume": null, "pages": null, "type": "preprint", "language": "en", "abstract": "The mixed truck-drone delivery systems have attracted increasing attention for last-mile logistics, but real-world complexities demand a shift from single-agent, fully connected graph models to multi-agent systems operating on actual road networks. We introduce the multi-agent flying sidekick traveling salesman problem (MA-FSTSP) on road networks, extending the single truck-drone model to multiple trucks, each carrying multiple drones while considering full road networks for truck restrictions and flexible drone routes. We propose a mixed-integer linear programming model and an efficient three-phase heuristic algorithm for this NP-hard problem. Our approach decomposes MA-FSTSP into manageable subproblems of one truck with multiple drones. Then, it computes the routes for trucks without drones in subproblems, which are used in the final phase as heuristics to help optimize drone and truck routes simultaneously. Extensive numerical experiments on Manhattan and Boston road networks demonstrate our algorithm's superior effectiveness and efficiency, significantly outperforming both column generation and variable neighborhood search baselines in solution quality and computation time. Notably, our approach scales to more than 300 customers within a 5-minute time limit, showcasing its potential for large-scale, real-world logistics applications.", "keywords": [ "Travelling salesman problem", "Computer science", "Mathematical optimization", "Mathematics" ], "cited_by_openalex": 0, "cited_by_scopus": 0, "eid": null, "pii": null, "open_access_url": "https://arxiv.org/pdf/2408.11187", "sources": [ { "db": "openalex", "stream": "UAV", "query_id": "UAV-1" } ], "streams": [ "UAV" ], "relevance_signals": [ "UAV", "TRUCK" ], "auto_exclude_reason": null, "screening_status": "pending_human_screening", "screened_by": "auto-v1.0.0" }, { "id": "doi:10.2139/ssrn.5066639", "doi": "10.2139/ssrn.5066639", "title": "A Coalition Game for On-Demand Multi-Modal 3d Automated Delivery System", "year": 2024, "authors": [ "Farzan Moosavi", "Bilal Farooq" ], "first_author": "Farzan Moosavi", "venue": "SSRN Electronic Journal", "volume": null, "pages": null, "type": "preprint", "language": "en", "abstract": null, "keywords": [ "Modal", "Computer science", "On demand", "Human–computer interaction", "Multimedia", "Chemistry" ], "cited_by_openalex": 0, "cited_by_scopus": 0, "eid": null, "pii": null, "open_access_url": "https://doi.org/10.2139/ssrn.5066639", "sources": [ { "db": "openalex", "stream": "UAV", "query_id": "UAV-1" } ], "streams": [ "UAV" ], "relevance_signals": [ "NO_TECHNOLOGY_MATCH" ], "auto_exclude_reason": "EC-4-topic", "screening_status": "auto_excluded", "screened_by": "auto-v1.0.0" }, { "id": "doi:10.2139/ssrn.4865970", "doi": "10.2139/ssrn.4865970", "title": "A Branch-Cut-And-Price Approach for the Two-Echelon Vehicle Routing Problem with Drones", "year": 2024, "authors": [ "Sylvain Lichau", "Ruslan Sadykov", "Julien François", "Rémy Dupas" ], "first_author": "Sylvain Lichau", "venue": "SSRN Electronic Journal", "volume": null, "pages": null, "type": "preprint", "language": "en", "abstract": null, "keywords": [ "Drone", "Vehicle routing problem", "Routing (electronic design automation)", "Branch and cut", "Computer science", "Mathematical optimization", "Operations research", "Business", "Mathematics", "Integer programming", "Computer network" ], "cited_by_openalex": 0, "cited_by_scopus": 0, "eid": null, "pii": null, "open_access_url": "http://dx.doi.org/10.2139/ssrn.4865970", "sources": [ { "db": "openalex", "stream": "UAV", "query_id": "UAV-2" } ], "streams": [ "UAV" ], "relevance_signals": [ "UAV_NO_CTX" ], "auto_exclude_reason": "EC-4-topic", "screening_status": "auto_excluded", "screened_by": "auto-v1.0.0" }, { "id": "doi:10.5281/zenodo.18561880", "doi": "10.5281/zenodo.18561880", "title": "Hybrid Vehicle Routing Problem with Truck and Drone Using Mixed Integer Linear Programming", "year": 2024, "authors": [ "Suhaib Kaissi", "Bethel Mbakaogu", "Nabin Hitang", "Prajaya Pathak", "Valencia Eder", "Le Caroline" ], "first_author": "Suhaib Kaissi", "venue": "Zenodo (CERN European Organization for Nuclear Research)", "volume": null, "pages": null, "type": "other", "language": "en", "abstract": "Hybrid Vehicle Routing Problem with Truck and Drone Using Mixed Integer Linear Programming", "keywords": [ "Drone", "Integer programming", "Truck", "Linear programming", "Vehicle routing problem", "Routing (electronic design automation)" ], "cited_by_openalex": 0, "cited_by_scopus": 0, "eid": null, "pii": null, "open_access_url": "https://doi.org/10.5281/zenodo.18561880", "sources": [ { "db": "openalex", "stream": "UAV", "query_id": "UAV-2" } ], "streams": [ "UAV" ], "relevance_signals": [ "UAV_NO_CTX", "TRUCK_NO_CTX" ], "auto_exclude_reason": "EC-4-topic", "screening_status": "auto_excluded", "screened_by": "auto-v1.0.0" }, { "id": "doi:10.61186/engt.5.2.2924", "doi": "10.61186/engt.5.2.2924", "title": "Hybrid Vehicle Routing Problem with Truck and Drone Using Mixed Integer Linear Programming", "year": 2024, "authors": [ "Suhaib Kaissi", "Nabin Hitang", "Prajaya Pathak", "Eder Valencia", "Caroline Le", "Nya McCoy", "Bethel Mbakaogu", "Yashas Mysore Ravishkumar" ], "first_author": "Suhaib Kaissi", "venue": "ENG Transactions", "volume": null, "pages": null, "type": "article", "language": "en", "abstract": null, "keywords": [ "Drone", "Integer programming", "Truck", "Vehicle routing problem", "Linear programming", "Branch and price", "Routing (electronic design automation)", "Computer science", "Integer (computer science)", "Mathematical optimization", "Mathematics", "Engineering" ], "cited_by_openalex": 0, "cited_by_scopus": 0, "eid": null, "pii": null, "open_access_url": "https://doi.org/10.61186/engt.5.2.2924", "sources": [ { "db": "openalex", "stream": "UAV", "query_id": "UAV-2" } ], "streams": [ "UAV" ], "relevance_signals": [ "UAV_NO_CTX", "TRUCK_NO_CTX" ], "auto_exclude_reason": "EC-4-topic", "screening_status": "auto_excluded", "screened_by": "auto-v1.0.0" }, { "id": "doi:10.5281/zenodo.18561879", "doi": "10.5281/zenodo.18561879", "title": "Hybrid Vehicle Routing Problem with Truck and Drone Using Mixed Integer Linear Programming", "year": 2024, "authors": [ "Suhaib Kaissi", "Bethel Mbakaogu", "Nabin Hitang", "Prajaya Pathak", "Valencia Eder", "Le Caroline" ], "first_author": "Suhaib Kaissi", "venue": "Zenodo (CERN European Organization for Nuclear Research)", "volume": null, "pages": null, "type": "other", "language": "en", "abstract": "Hybrid Vehicle Routing Problem with Truck and Drone Using Mixed Integer Linear Programming", "keywords": [ "Drone", "Integer programming", "Truck", "Linear programming", "Vehicle routing problem", "Routing (electronic design automation)" ], "cited_by_openalex": 0, "cited_by_scopus": 0, "eid": null, "pii": null, "open_access_url": "https://doi.org/10.5281/zenodo.18561879", "sources": [ { "db": "openalex", "stream": "UAV", "query_id": "UAV-2" } ], "streams": [ "UAV" ], "relevance_signals": [ "UAV_NO_CTX", "TRUCK_NO_CTX" ], "auto_exclude_reason": "EC-4-topic", "screening_status": "auto_excluded", "screened_by": "auto-v1.0.0" }, { "id": "doi:10.5281/zenodo.7794613", "doi": "10.5281/zenodo.7794613", "title": "Multi-Depot Vehicle Routing Problem with Drones: Mathematical Formulation, Solution Algorithm and Experiments", "year": 2024, "authors": [ "Petr Stodola", "Libor Kutěj" ], "first_author": "Petr Stodola", "venue": "Expert Systems with Applications", "volume": null, "pages": null, "type": "article", "language": "en", "abstract": "Data to the article \"Multi-Depot Vehicle Routing Problem with Drones: Mathematical formulation, solution algorithm and experiments\".", "keywords": [ "Depot", "Vehicle routing problem", "Computer science", "Mathematical optimization", "Drone", "Routing (electronic design automation)", "Algorithm", "Mathematics", "Computer network", "Geography" ], "cited_by_openalex": 0, "cited_by_scopus": 0, "eid": null, "pii": null, "open_access_url": "https://doi.org/10.5281/zenodo.7794613", "sources": [ { "db": "openalex", "stream": "UAV", "query_id": "UAV-2" } ], "streams": [ "UAV" ], "relevance_signals": [ "UAV_NO_CTX" ], "auto_exclude_reason": "EC-4-topic", "screening_status": "auto_excluded", "screened_by": "auto-v1.0.0" }, { "id": "doi:10.1007/s10846-024-02169-1", "doi": "10.1007/s10846-024-02169-1", "title": "UAV Routing for Enhancing the Performance of a Classifier-in-the-loop", "year": 2024, "authors": [ "Deepak Prakash Kumar", "Pranav Rajbhandari", "Loy McGuire", "Swaroop Darbha", "Donald Sofge" ], "first_author": "Deepak Prakash Kumar", "venue": "Journal of Intelligent & Robotic Systems", "volume": "110", "pages": null, "type": "article", "language": "en", "abstract": "Abstract Some human-machine systems are designed so that machines (robots) gather and deliver data to remotely located operators (humans) through an interface to aid them in classification. The performance of a human as a (binary) classifier-in-the-loop is characterized by probabilities of correctly classifying objects (or points of interest) as a true target or a false target. These two probabilities depend on the time spent collecting information at a point of interest (POI), known as dwell time. The information gain associated with collecting information at a POI is then a function of dwell time and discounted by the revisit time, i.e., the duration between consecutive revisits to the same POI, to ensure that the vehicle covers all POIs in a timely manner. The objective of the routing problem for classification is to route the vehicles optimally, which is a discrete problem, and determine the optimal dwell time at each POI, which is a continuous optimization problem, to maximize the total discounted information gain while visiting every POI at least once. Due to the coupled discrete and continuous problem, which makes the problem hard to solve, we make a simplifying assumption that the information gain is discounted exponentially by the revisit time; this assumption enables one to decouple the problem of routing with the problem of determining optimal dwell time at each POI for a single vehicle problem. For the multi-vehicle problem, since the problem involves task partitioning between vehicles in addition to routing and dwell time computation, we provide a fast heuristic to obtain high-quality feasible solutions.", "keywords": [ "Computer science", "Classifier (UML)", "Computer network", "Artificial intelligence" ], "cited_by_openalex": 1, "cited_by_scopus": "0", "eid": "2-s2.0-85203879636", "pii": null, "open_access_url": "https://link.springer.com/content/pdf/10.1007/s10846-024-02169-1.pdf", "sources": [ { "db": "openalex", "stream": "UAV", "query_id": "UAV-2" }, { "db": "scopus", "stream": "UAV", "query_id": "UAV-2" } ], "streams": [ "UAV" ], "relevance_signals": [ "UAV_NO_CTX" ], "auto_exclude_reason": "EC-4-topic", "screening_status": "auto_excluded", "screened_by": "auto-v1.0.0" }, { "id": "doi:10.1177/09544100241288067", "doi": "10.1177/09544100241288067", "title": "A hybrid evolutionary algorithm integrated with specific neighborhood search for collaborative task planning of heterogeneous multi-UAVs under SEAD scenarios", "year": 2024, "authors": [ "Jianfeng Wang", "Gaowei Jia", "Ke Yu", "Yue Zhang", "Zheng Xin Guo", "Zhongxi Hou" ], "first_author": "Jianfeng Wang", "venue": "Proceedings of the Institution of Mechanical Engineers Part G Journal of Aerospace Engineering", "volume": "239", "pages": "403-439", "type": "article", "language": "en", "abstract": "To overcome the challenges posed by diversified task combinations and strict temporal constraints in the Suppression of Enemy Air Defenses (SEAD), this paper investigates the task planning problem. The task correlation in SEAD evolves from chained correlations within individual units to a web of interdependencies across all UAVs, making the task planning problem significantly more complex than traditional vehicle routing problems. This complexity ensures that any alteration to a single task will produce a cascading effect on the overall plan. To address this issue, the paper designs a matrix-based task dependency analysis method that quantitatively evaluates the logical interdependencies between tasks. Additionally, the concept of dynamic time windows is introduced to precisely measure the temporal impact of task adjustments on the overall plan. On the basis of these analyses, an adaptive hybrid evolutionary algorithm is designed, which employs a neighborhood search strategy to precisely adjust task assignments and execution sequences based on task dependencies and dynamic time windows. Finally, simulation results suggest that the algorithm proposed in this paper consistently produces task plans with a high number of completed tasks and short completion time across scenarios involving varying task quantities, task combinations, time windows, regional distributions, and UAV configurations.", "keywords": [ "Task (project management)", "Computer science", "Evolutionary algorithm", "Artificial intelligence", "Systems engineering", "Engineering" ], "cited_by_openalex": 2, "cited_by_scopus": "0", "eid": "2-s2.0-105001069268", "pii": null, "open_access_url": "https://doi.org/10.1177/09544100241288067", "sources": [ { "db": "openalex", "stream": "UAV", "query_id": "UAV-2" }, { "db": "scopus", "stream": "UAV", "query_id": "UAV-2" } ], "streams": [ "UAV" ], "relevance_signals": [ "UAV_NO_CTX" ], "auto_exclude_reason": "EC-4-topic", "screening_status": "auto_excluded", "screened_by": "auto-v1.0.0" }, { "id": "doi:10.2139/ssrn.4819017", "doi": "10.2139/ssrn.4819017", "title": "The Load-Dependent Drone General Routing Problem", "year": 2024, "authors": [ "Isaac Plana", "José María Sanchis", "Paula Segura" ], "first_author": "Isaac Plana", "venue": "SSRN Electronic Journal", "volume": null, "pages": null, "type": "preprint", "language": "en", "abstract": null, "keywords": [ "Drone", "Routing (electronic design automation)", "Computer science", "Mathematical optimization", "Computer network", "Mathematics", "Biology" ], "cited_by_openalex": 0, "cited_by_scopus": 0, "eid": null, "pii": null, "open_access_url": "https://doi.org/10.2139/ssrn.4819017", "sources": [ { "db": "openalex", "stream": "UAV", "query_id": "UAV-2" } ], "streams": [ "UAV" ], "relevance_signals": [ "UAV_NO_CTX" ], "auto_exclude_reason": "EC-4-topic", "screening_status": "auto_excluded", "screened_by": "auto-v1.0.0" }, { "id": "title:a reinforcement learning method to solve dynamic truck drone routing problem", "doi": null, "title": "A reinforcement learning method to solve dynamic truck-drone routing problem", "year": 2024, "authors": [ "Sun, Wenbo", "Zhang, Fangni" ], "first_author": "Sun, Wenbo", "venue": "The HKU Scholars Hub (University of Hong Kong)", "volume": null, "pages": null, "type": "conference-paper", "language": "en", "abstract": "This paper develops a reinforcement learning method to solve the dynamic routing problem of a truck-and-drone collaboration system with multiple types of tasks. Specifically, the collaboration system considers a post-disaster scenario. On the one hand, trucks and drones can deliver necessary relief logistics (medicine, food, and water) to the affected people. On the other hand, drones, with small cameras onboard, can perform surveillance tasks to assess the network and find new demand after disasters. Trucks and drones can collaborate on serving all demands. As new demands may arrive during the rescue process, the route of trucks and drones should be updated to rescue more people. In this paper, we develop a reinforcement learning method to solve the proposed problem in real time. Since the problem is an NP-hard problem with a large state and action space, the attention mechanism is adopted for the state representation. In numerical studies, we extensively compare the proposed reinforcement learning methods with other methods.", "keywords": [ "Reinforcement learning", "Drone", "Truck", "Routing (electronic design automation)", "State (computer science)", "Q-learning" ], "cited_by_openalex": 0, "cited_by_scopus": 0, "eid": null, "pii": null, "open_access_url": "https://hub.hku.hk/handle/10722/353608", "sources": [ { "db": "openalex", "stream": "UAV", "query_id": "UAV-2" } ], "streams": [ "UAV" ], "relevance_signals": [ "UAV_NO_CTX", "TRUCK_NO_CTX" ], "auto_exclude_reason": "EC-4-topic", "screening_status": "auto_excluded", "screened_by": "auto-v1.0.0" }, { "id": "title:dynamic truck drone routing problem for multiple tasks in post disaster scenarios", "doi": null, "title": "Dynamic truck-drone routing problem for multiple tasks in post-disaster scenarios", "year": 2024, "authors": [ "SUN, Wenbo", "Zhang, Fangni" ], "first_author": "SUN, Wenbo", "venue": "The HKU Scholars Hub (University of Hong Kong)", "volume": null, "pages": null, "type": "conference-paper", "language": "en", "abstract": "This study investigates a dynamic routing problem of a truck-and-drone system for delivery and surveillance tasks in post-disaster scenarios. To maximize the number of rescued people under uncertainties, the route of trucks and drones need to keep updating. A reinforcement learning method is developed to solve the proposed problem.", "keywords": [ "Routing (electronic design automation)", "Reinforcement learning", "Truck", "Dynamic programming", "Adaptive routing", "Task (project management)" ], "cited_by_openalex": 0, "cited_by_scopus": 0, "eid": null, "pii": null, "open_access_url": "https://hub.hku.hk/handle/10722/353546", "sources": [ { "db": "openalex", "stream": "UAV", "query_id": "UAV-2" } ], "streams": [ "UAV" ], "relevance_signals": [ "UAV_NO_CTX", "TRUCK_NO_CTX" ], "auto_exclude_reason": "EC-4-topic", "screening_status": "auto_excluded", "screened_by": "auto-v1.0.0" }, { "id": "doi:10.1117/12.3054681", "doi": "10.1117/12.3054681", "title": "Optimization design of truck-mounted drone vehicle route considering consumer replenishment demand", "year": 2024, "authors": [ "Yuhua Jia", "Haozhen Kang", "Fengjie Xie" ], "first_author": "Yuhua Jia", "venue": "Proceedings of SPIE the International Society for Optical Engineering", "volume": "13421", "pages": null, "type": "conference-paper", "language": "en", "abstract": "Aiming at the problems of freshness and shortage that often occur in fresh distribution, this study proposed an innovative distribution mode, in which trucks carry drones for delivery, supplemented by independent drones to respond to replenishment needs within and outside the limited range, and proposed two replenishment strategies. An optimization model aiming at cost minimization and customer satisfaction maximization was constructed. Simulated annealing algorithm combined with three improved neighborhood search algorithms was used to optimize the path, and an adaptive strategy was designed for dynamic adjustment. At the same time, considering the suddenness and uncertainty of replenishment demand, a reasonable replenishment time threshold acceptable to enterprises is proposed to cope with the sudden demand. Through comparative analysis of numerical examples, it is proved that the proposed joint delivery mode of truck and drone can not only effectively solve the problem of replenishment demand, improve customer satisfaction, but also significantly reduce the cost compared with the traditional distribution mode. This distribution model not only brings new research perspectives and methods to the field of fresh commodity distribution, but also can significantly reduce urban road traffic congestion and improve the efficiency and sustainability of the traffic environment.", "keywords": [ "Drone", "Truck", "Automotive engineering", "Computer science", "On demand", "Engineering", "Multimedia" ], "cited_by_openalex": 0, "cited_by_scopus": "0", "eid": "2-s2.0-85214705608", "pii": null, "open_access_url": "https://doi.org/10.1117/12.3054681", "sources": [ { "db": "openalex", "stream": "UAV", "query_id": "UAV-2" }, { "db": "scopus", "stream": "UAV", "query_id": "UAV-2" } ], "streams": [ "UAV" ], "relevance_signals": [ "UAV_NO_CTX", "TRUCK_NO_CTX" ], "auto_exclude_reason": "EC-4-topic", "screening_status": "auto_excluded", "screened_by": "auto-v1.0.0" }, { "id": "doi:10.1007/978-3-031-58919-5_9", "doi": "10.1007/978-3-031-58919-5_9", "title": "A Greedy and Variable Neighborhood Search Metaheuristic Approach for the Cumulative Unmanned Aerial Vehicle Routing Problem", "year": 2024, "authors": [ "Nikolaos A. Kyriakakis", "Themistoklis Stamadianos", "Magdalene Marinaki", "Yannis Marinakis" ], "first_author": "Nikolaos A. Kyriakakis", "venue": "Springer optimization and its applications", "volume": "214", "pages": "247-265", "type": "book-chapter", "language": "en", "abstract": null, "keywords": [ "Vehicle routing problem", "Metaheuristic", "Variable neighborhood search", "Mathematical optimization", "Variable (mathematics)", "Computer science", "Greedy algorithm", "Routing (electronic design automation)", "Mathematics", "Computer network" ], "cited_by_openalex": 0, "cited_by_scopus": "0", "eid": "2-s2.0-85201408812", "pii": null, "open_access_url": "https://doi.org/10.1007/978-3-031-58919-5_9", "sources": [ { "db": "openalex", "stream": "UAV", "query_id": "UAV-2" }, { "db": "scopus", "stream": "UAV", "query_id": "UAV-2" } ], "streams": [ "UAV" ], "relevance_signals": [ "UAV_NO_CTX" ], "auto_exclude_reason": "EC-4-topic", "screening_status": "auto_excluded", "screened_by": "auto-v1.0.0" }, { "id": "doi:10.2139/ssrn.4781375", "doi": "10.2139/ssrn.4781375", "title": "Bi-Objective Optimization Models for Truck-Drone-Boat Routing Problem with an Equity-Based Perspective in Disaster Relief Distribution", "year": 2024, "authors": [ "Fadillah Ramadhan", "Chandra Ade Irawan", "Antony Paulraj", "Cai Zhao" ], "first_author": "Fadillah Ramadhan", "venue": "SSRN Electronic Journal", "volume": null, "pages": null, "type": "preprint", "language": "en", "abstract": null, "keywords": [ "Drone", "Truck", "Equity (law)", "Perspective (graphical)", "Vehicle routing problem", "Distribution (mathematics)", "Operations research", "Computer science", "Routing (electronic design automation)", "Transport engineering", "Business", "Engineering" ], "cited_by_openalex": 0, "cited_by_scopus": 0, "eid": null, "pii": null, "open_access_url": "https://doi.org/10.2139/ssrn.4781375", "sources": [ { "db": "openalex", "stream": "UAV", "query_id": "UAV-2" } ], "streams": [ "UAV" ], "relevance_signals": [ "UAV_NO_CTX", "TRUCK_NO_CTX" ], "auto_exclude_reason": "EC-4-topic", "screening_status": "auto_excluded", "screened_by": "auto-v1.0.0" }, { "id": "doi:10.1109/iscv60512.2024.10620093", "doi": "10.1109/iscv60512.2024.10620093", "title": "Contribution to the optimization of the flight duration of autonomous drones: Flight path planning", "year": 2024, "authors": [ "Khaoula Khaled", "Ouadoudi Zytoune" ], "first_author": "Khaoula Khaled", "venue": "2024 International Conference on Intelligent Systems and Computer Vision Iscv 2024", "volume": null, "pages": null, "type": "conference-paper", "language": "en", "abstract": "Unmanned aerial vehicle(UAV) are suitable tools to provide a fast wireless communication infrastructure. They can be deployed to support the capacity of conventional base stations(BS) when they are overloaded. This can happen in some cases as special events or abnormal congestion in a cell. However, UAVs entail multiple constraints such as the cost of service, lifetime of drones , and the need for fast and high-quality service. Although previous research papers propose a mixed programming model to address this challenging problem, given that drones can perform multiple supports for many BSs. This raises different questions as : how to manage the cost of service ? and how to maximize the quality of the services while minimizing the time service including capacity of the drone. for this purpose , we consider the question as a single, how the branch-and-bound approach can be tailored to solve the vehicle routing problem faster. Subsequently, a dual approach was used. The used method takes the different aspect into consideration and captures changes in total profit. the performance of our method is analyzed and compared with a different approach, by considering another aspect of optimization.", "keywords": [ "Drone", "Duration (music)", "Aeronautics", "Path (computing)", "Motion planning", "Computer science", "Aerospace engineering", "Engineering", "Artificial intelligence", "Robot", "Physics", "Computer network" ], "cited_by_openalex": 0, "cited_by_scopus": "0", "eid": "2-s2.0-85202342415", "pii": null, "open_access_url": "http://dx.doi.org/10.1109/iscv60512.2024.10620093", "sources": [ { "db": "openalex", "stream": "UAV", "query_id": "UAV-2" }, { "db": "scopus", "stream": "UAV", "query_id": "UAV-2" } ], "streams": [ "UAV" ], "relevance_signals": [ "UAV_NO_CTX" ], "auto_exclude_reason": "EC-4-topic", "screening_status": "auto_excluded", "screened_by": "auto-v1.0.0" }, { "id": "doi:10.1109/robot61475.2024.10797345", "doi": "10.1109/robot61475.2024.10797345", "title": "Dynamics-Aware Fast Multi-Drone Exploration of Unknown Environments", "year": 2024, "authors": [ "Juan Zacarías Bardají", "David Morilla-Cabello", "Eduardo Montijano" ], "first_author": "Juan Zacarías Bardají", "venue": "2024 7th Iberian Robotics Conference Robot 2024", "volume": null, "pages": null, "type": "conference-paper", "language": "en", "abstract": "Tasks such as surveillance, search and rescue operations, or disaster mapping require exploring unknown environments in the shortest possible time. Furthermore, when these tasks are performed by multiple robots, team coordination is crucial to achieve the desired efficiency. In this spirit, this paper proposes a method that introduces notions about each robot's dynamics into the planning process. We formulate novel costs into the Vehicle Routing Problem (VRP) to maintain each drone's inertia, required for efficiency. The costs of exploring regions are calculated based on the individual state of each robot, such as their speed and orientation, to favour distinct behaviours. The proposed solution is implemented on RACER, a state-of-the-art decentralized exploration system. The original implementation of RACER is modified to integrate our method, including a different optimization library to solve the VRP. To validate our approach, we conduct exhaustive experiments in four maps, with two and four agents and varying initial conditions, comparing our proposal with the state-of-the-art method. The results illustrate the advantages of incorporating knowledge about the team's dynamics into the planning process, demonstrating improvements in the efficiency and effectiveness of exploration in unknown environments.", "keywords": [ "Drone", "Computer science", "Dynamics (music)", "Physics" ], "cited_by_openalex": 0, "cited_by_scopus": "0", "eid": "2-s2.0-85215969212", "pii": null, "open_access_url": "https://doi.org/10.1109/robot61475.2024.10797345", "sources": [ { "db": "openalex", "stream": "UAV", "query_id": "UAV-2" }, { "db": "scopus", "stream": "UAV", "query_id": "UAV-2" } ], "streams": [ "UAV" ], "relevance_signals": [ "UAV_NO_CTX" ], "auto_exclude_reason": "EC-4-topic", "screening_status": "auto_excluded", "screened_by": "auto-v1.0.0" }, { "id": "doi:10.1007/978-981-97-6710-6_27", "doi": "10.1007/978-981-97-6710-6_27", "title": "Algorithm for Observation and Routing of Drones Based on Multi-detection and Mobilize", "year": 2024, "authors": [ "Pramod Kumar Patel", "Gurjeet Singh", "Neeraj Agrawal", "Dilshad Usmani", "Rajesh Kumar Nema", "Prachi Bhadhouriya" ], "first_author": "Pramod Kumar Patel", "venue": "Lecture notes in electrical engineering", "volume": "1246 LNEE", "pages": "341-353", "type": "conference-paper", "language": "en", "abstract": null, "keywords": [ "Drone", "Computer science", "Routing (electronic design automation)", "Computer network", "Biology" ], "cited_by_openalex": 0, "cited_by_scopus": "0", "eid": "2-s2.0-85210095729", "pii": null, "open_access_url": "https://doi.org/10.1007/978-981-97-6710-6_27", "sources": [ { "db": "openalex", "stream": "UAV", "query_id": "UAV-2" }, { "db": "scopus", "stream": "UAV", "query_id": "UAV-2" } ], "streams": [ "UAV" ], "relevance_signals": [ "UAV_NO_CTX" ], "auto_exclude_reason": "EC-4-topic", "screening_status": "auto_excluded", "screened_by": "auto-v1.0.0" }, { "id": "doi:10.1109/iceic61013.2024.10457090", "doi": "10.1109/iceic61013.2024.10457090", "title": "Multi-Trip Routing of Delivery Drones with Load-Dependent Flight Speed", "year": 2024, "authors": [ "Mao Nishira", "Hiroki Nishikawa", "Xiangbo Kong", "Hiroyuki Tomiyama" ], "first_author": "Mao Nishira", "venue": "2024 International Conference on Electronics Information and Communication Iceic 2024", "volume": null, "pages": null, "type": "conference-paper", "language": "en", "abstract": "In recent years, there has been growing interest in companies using drones to deliver packages as a means of solving logistics challenges, but it is important that routes are optimized in advance. Delivery drone routing, considering variations in flight speed due to payload, has been proposed. This is referred to as Flight Speed-aware Vehicle Routing Problem (FSVRP), and approximate solution methods for the FSVRP have already been suggested. In this paper, we aim to increase the quantity of deliverable packages and reduce delivery time by proposing a delivery problem that considers multiple deliveries while accounting for variations in flight speed due to payload. Experiments demonstrate the effectiveness of the proposed method compared to the state-of-the-art methods.", "keywords": [ "Drone", "Routing (electronic design automation)", "Computer science", "Computer network" ], "cited_by_openalex": 0, "cited_by_scopus": "0", "eid": "2-s2.0-85189238572", "pii": null, "open_access_url": "http://dx.doi.org/10.1109/iceic61013.2024.10457090", "sources": [ { "db": "openalex", "stream": "UAV", "query_id": "UAV-2" }, { "db": "scopus", "stream": "UAV", "query_id": "UAV-2" } ], "streams": [ "UAV" ], "relevance_signals": [ "UAV_NO_CTX" ], "auto_exclude_reason": "EC-4-topic", "screening_status": "auto_excluded", "screened_by": "auto-v1.0.0" }, { "id": "title:dynamic routing for trucks and drones for multiple tasks after disasters", "doi": null, "title": "Dynamic routing for trucks and drones for multiple tasks after disasters", "year": 2024, "authors": [ "Sun, Wenbo", "Zhang, Fangni" ], "first_author": "Sun, Wenbo", "venue": "The HKU Scholars Hub (University of Hong Kong)", "volume": null, "pages": null, "type": "conference-paper", "language": "en", "abstract": "This study addresses the dynamic routing problem for a truck-and-drone collaboration system with multiple tasks after disasters. The post-disaster scenarios are highly unstable due to uncertainties, for example, the rescue tasks may come stochastically during the rescue response. Therefore, it is critical to update the route of trucks and drones when the new demand comes. Considering different priorities for the rescue tasks, the objective of the proposed problem is to minimize the priority cost, which can be regarded as maximizing the number of rescued people. In this paper, we model the problem as a Markov decision process (MDP) and solve it using the multi-agent reinforcement learning (MARL) method.", "keywords": [ "Drone", "Markov decision process", "Routing (electronic design automation)", "Truck", "Process (computing)", "Reinforcement learning", "Dynamic programming", "Markov process" ], "cited_by_openalex": 0, "cited_by_scopus": 0, "eid": null, "pii": null, "open_access_url": "https://hub.hku.hk/handle/10722/353607", "sources": [ { "db": "openalex", "stream": "UAV", "query_id": "UAV-2" } ], "streams": [ "UAV" ], "relevance_signals": [ "UAV_NO_CTX", "TRUCK_NO_CTX" ], "auto_exclude_reason": "EC-4-topic", "screening_status": "auto_excluded", "screened_by": "auto-v1.0.0" }, { "id": "doi:10.2139/ssrn.4684209", "doi": "10.2139/ssrn.4684209", "title": "A Deep Reinforcement Learning Approach for Solving the Pickup and Delivery Problem with Drones and Time Windows", "year": 2024, "authors": [ "Fuqiang Lu", "Nan Chen", "Bihua Ling" ], "first_author": "Fuqiang Lu", "venue": "SSRN Electronic Journal", "volume": null, "pages": null, "type": "preprint", "language": "en", "abstract": null, "keywords": [ "Drone", "Pickup", "Reinforcement learning", "Computer science", "Reinforcement", "Artificial intelligence", "Psychology", "Biology", "Social psychology" ], "cited_by_openalex": 0, "cited_by_scopus": 0, "eid": null, "pii": null, "open_access_url": "https://doi.org/10.2139/ssrn.4684209", "sources": [ { "db": "openalex", "stream": "UAV", "query_id": "UAV-2" } ], "streams": [ "UAV" ], "relevance_signals": [ "UAV_NO_CTX" ], "auto_exclude_reason": "EC-4-topic", "screening_status": "auto_excluded", "screened_by": "auto-v1.0.0" }, { "id": "doi:10.2139/ssrn.4861173", "doi": "10.2139/ssrn.4861173", "title": "Path Pool Based Transformer Model in Reinforcement Framework for Dynamic Urban Drone Delivery Problem", "year": 2024, "authors": [ "Chuankai Xiang", "Yanfang Mo", "Wei Liu", "Zhibin Wu", "Lishuai Li" ], "first_author": "Chuankai Xiang", "venue": "SSRN Electronic Journal", "volume": null, "pages": null, "type": "preprint", "language": "en", "abstract": null, "keywords": [ "Drone", "Reinforcement learning", "Transformer", "Reinforcement", "Computer science", "Path (computing)", "Simulation", "Operations research", "Engineering", "Artificial intelligence", "Electrical engineering", "Structural engineering" ], "cited_by_openalex": 0, "cited_by_scopus": 0, "eid": null, "pii": null, "open_access_url": "http://dx.doi.org/10.2139/ssrn.4861173", "sources": [ { "db": "openalex", "stream": "UAV", "query_id": "UAV-2" } ], "streams": [ "UAV" ], "relevance_signals": [ "UAV_NO_CTX" ], "auto_exclude_reason": "EC-4-topic", "screening_status": "auto_excluded", "screened_by": "auto-v1.0.0" }, { "id": "doi:10.2139/ssrn.5077746", "doi": "10.2139/ssrn.5077746", "title": "Path Pool Based Transformer Model in Reinforcement Framework for Dynamic Urban Drone Delivery Problem", "year": 2024, "authors": [ "Chuankai Xiang", "Yanfang Mo", "Wei Liu", "Zhibin Wu", "Lishuai Li" ], "first_author": "Chuankai Xiang", "venue": "SSRN Electronic Journal", "volume": null, "pages": null, "type": "preprint", "language": "en", "abstract": null, "keywords": [ "Drone", "Reinforcement learning", "Transformer", "Reinforcement", "Computer science", "Path (computing)", "Mathematical optimization", "Engineering", "Artificial intelligence", "Mathematics", "Electrical engineering", "Computer network" ], "cited_by_openalex": 0, "cited_by_scopus": 0, "eid": null, "pii": null, "open_access_url": "https://doi.org/10.2139/ssrn.5077746", "sources": [ { "db": "openalex", "stream": "UAV", "query_id": "UAV-2" } ], "streams": [ "UAV" ], "relevance_signals": [ "UAV_NO_CTX" ], "auto_exclude_reason": "EC-4-topic", "screening_status": "auto_excluded", "screened_by": "auto-v1.0.0" }, { "id": "doi:10.2139/ssrn.5070781", "doi": "10.2139/ssrn.5070781", "title": "Truck-Drone Delivery Route Optimization Modeling Based on a Pso-Vns Algorithm Considering Dynamic Demand Nodes", "year": 2024, "authors": [ "Xunjie Gou", "Tong Li", "Haoyu Zhang", "Yuxuan Zhang", "Fumin Deng", "Zeshui Xu" ], "first_author": "Xunjie Gou", "venue": "SSRN Electronic Journal", "volume": null, "pages": null, "type": "preprint", "language": "en", "abstract": null, "keywords": [ "Truck", "Computer science", "Drone", "Mathematical optimization", "Dynamic programming", "Algorithm", "Engineering", "Mathematics", "Automotive engineering" ], "cited_by_openalex": 0, "cited_by_scopus": 0, "eid": null, "pii": null, "open_access_url": "https://doi.org/10.2139/ssrn.5070781", "sources": [ { "db": "openalex", "stream": "UAV", "query_id": "UAV-2" } ], "streams": [ "UAV" ], "relevance_signals": [ "UAV_NO_CTX", "TRUCK_NO_CTX" ], "auto_exclude_reason": "EC-4-topic", "screening_status": "auto_excluded", "screened_by": "auto-v1.0.0" }, { "id": "doi:10.2139/ssrn.5054711", "doi": "10.2139/ssrn.5054711", "title": "Optimizing Vehicle-Mounted Multi-Uav Wildfire Patrol Routing Problem Based on Fusion Clustering and Route Planning Algorithms", "year": 2024, "authors": [ "Wenjun Li", "Jiawen Hu", "Wenjun Li", "Jianxin Jia", "Domokos Esztergár‐Kiss" ], "first_author": "Wenjun Li", "venue": "SSRN Electronic Journal", "volume": null, "pages": null, "type": "preprint", "language": "en", "abstract": null, "keywords": [ "Vehicle routing problem", "Cluster analysis", "Route planning", "Routing (electronic design automation)", "Computer science", "Routing algorithm", "Fusion", "Algorithm", "Real-time computing", "Transport engineering", "Artificial intelligence", "Engineering" ], "cited_by_openalex": 0, "cited_by_scopus": 0, "eid": null, "pii": null, "open_access_url": "https://doi.org/10.2139/ssrn.5054711", "sources": [ { "db": "openalex", "stream": "UAV", "query_id": "UAV-2" } ], "streams": [ "UAV" ], "relevance_signals": [ "UAV_NO_CTX" ], "auto_exclude_reason": "EC-4-topic", "screening_status": "auto_excluded", "screened_by": "auto-v1.0.0" }, { "id": "doi:10.2139/ssrn.4793504", "doi": "10.2139/ssrn.4793504", "title": "A Bi-Objective Truck Traveling Salesman Problem with Drone and Boat Considering an Equity-Based Perspective in Disaster Relief Distribution", "year": 2024, "authors": [ "Fadillah Ramadhan", "Chandra Ade Irawan", "Antony Paulraj", "Cai Zhao" ], "first_author": "Fadillah Ramadhan", "venue": "SSRN Electronic Journal", "volume": null, "pages": null, "type": "preprint", "language": "en", "abstract": null, "keywords": [ "Download", "Drone", "Travelling salesman problem", "Equity (law)", "Perspective (graphical)", "Computer science", "Distribution (mathematics)", "Operations research", "Computer security", "Engineering", "World Wide Web", "Political science" ], "cited_by_openalex": 0, "cited_by_scopus": 0, "eid": null, "pii": null, "open_access_url": "https://doi.org/10.2139/ssrn.4793504", "sources": [ { "db": "openalex", "stream": "UAV", "query_id": "UAV-2" } ], "streams": [ "UAV" ], "relevance_signals": [ "UAV_NO_CTX", "TRUCK_NO_CTX" ], "auto_exclude_reason": "EC-4-topic", "screening_status": "auto_excluded", "screened_by": "auto-v1.0.0" }, { "id": "doi:10.52058/2786-6025-2024-7(35)-501-512", "doi": "10.52058/2786-6025-2024-7(35)-501-512", "title": "ANT ALGORITHM APPLICATION FOR ROUTE PLANNING FOR UNMANNED AERIAL VEHICLES (UAVs)", "year": 2024, "authors": [ "Oleksandr M. Kryvonos", "Oleksandr Yatsenko", "Hlieb Firanskyi" ], "first_author": "Oleksandr M. Kryvonos", "venue": "Наука і техніка сьогодні", "volume": null, "pages": null, "type": "article", "language": "uk", "abstract": "Creating routes for drones is a convoluted process hence this objective requires to design optimal itineraries for safe interaction between groups of remotely piloted aerial systems (RPAS).Also, drone exploitation opens up completely new perspectives in logistic control systems because, in comparison with a ground vehicle, RPAS uses airspace as its primary road flying directly to the designated point.However, it must be maintained that a such small aircraft is vulnerable to weather conditions and does not have an excessive amount of energy which a drone operator always has to keep in mind when he intends to take off.Thereby, the problem of route design consists of numerous restrictions and demands optimal algorithms for efficient navigation.The article is devoted to the actual problem of using unmanned aerial vehicles in human activity.In particular, the article considers the task of routing unmanned aerial vehicles, which is a complex optimisation problem involving the determination of optimal routes for a group of UAVs to perform various tasks.The subject environment of the problem is characterised, which may include the following components: unmanned aerial vehicle, objects and recharging stations.It describes several existing analogues of platforms that can be used for route planning using unmanned aerial vehicles, in particular DJI Terra and Altitude Angel.The authors consider the most common types of vehicle route optimisation problems (Capacitated Vehicle Routing Problem, VRP with Time Windows, Multiple Depot VRP).The paper formulates a mathematical statement of the UAV routing problem.№ 7(35) 2024 502Considerable attention is paid to the ant algorithm and its modifications.The authors define the importance and prospects for further research on the use of heuristic algorithms for controlling semi-automated systems.", "keywords": [ "Route planning", "Computer science", "Drone", "Artificial intelligence", "ANT", "Aeronautics", "Real-time computing", "Algorithm", "Engineering", "Transport engineering", "Computer network", "Biology" ], "cited_by_openalex": 0, "cited_by_scopus": 0, "eid": null, "pii": null, "open_access_url": "http://perspectives.pp.ua/index.php/nts/article/download/13465/13530", "sources": [ { "db": "openalex", "stream": "UAV", "query_id": "UAV-2" } ], "streams": [ "UAV" ], "relevance_signals": [ "UAV_NO_CTX" ], "auto_exclude_reason": "EC-4", "screening_status": "auto_excluded", "screened_by": "auto-v1.0.0" }, { "id": "title:leveraging latent dirichlet allocation and fuzzy clustering for identifying key uav applications in ", "doi": null, "title": "Leveraging Latent Dirichlet Allocation and Fuzzy Clustering for Identifying Key UAV Applications in Disaster Response", "year": 2024, "authors": [ "Zeynep Yüksel", "Nazmiye Eligüzel", "Süleyman Mete" ], "first_author": "Zeynep Yüksel", "venue": "DergiPark (Istanbul University)", "volume": null, "pages": null, "type": "article", "language": "en", "abstract": "Over the past few decades, there has been a significant increase in the occurrence of natural disasters, such as earthquakes and landslides, presenting a grave risk to the safety of people's lives and their possessions. Drones, also known as unmanned aerial systems (UAVs), are increasingly attracting the attention of organizations engaged in disaster events, especially in the context of post-disaster emergency response. This research aims to assess the use of UAV applications in the post-disaster phase through a descriptive literature analysis. The evaluation is conducted using the Latent Dirichlet Allocation (LDA) topic modelling and clustering approach, namely the fuzzy c-means algorithm. A total of 433 papers are extracted from the Scopus database. The analysis offers valuable insights into three primary domains: imaging-based damage assessment, emergency communication networks, and vehicle routing optimization. These findings emphasize the significance of technology and streamlined systems in effectively handling complex situations, such as disaster response and network management. By integrating UAVs into disaster response strategies, policymakers can significantly enhance the agility and efficiency of their operations, ultimately saving lives and minimizing the impact of natural disasters on communities. This study can assist in achieving these goals by providing valuable insights and guidance.", "keywords": [ "Latent Dirichlet allocation", "Disaster response", "Key (lock)", "Cluster analysis", "Computer science", "Emergency response", "Fuzzy logic", "Emergency management", "Data mining", "Topic model", "Machine learning", "Artificial intelligence" ], "cited_by_openalex": 0, "cited_by_scopus": 0, "eid": null, "pii": null, "open_access_url": "https://dergipark.org.tr/en/download/article-file/4149736", "sources": [ { "db": "openalex", "stream": "UAV", "query_id": "UAV-2" } ], "streams": [ "UAV" ], "relevance_signals": [ "UAV_NO_CTX" ], "auto_exclude_reason": "EC-4-topic", "screening_status": "auto_excluded", "screened_by": "auto-v1.0.0" }, { "id": "doi:10.48550/arxiv.2406.19001", "doi": "10.48550/arxiv.2406.19001", "title": "Optimal routing and transmission strategies for UAV reconnaissance missions with detection threats", "year": 2024, "authors": [ "Riley Badenbroek", "Relinde Jurrius", "Lander Verlinde" ], "first_author": "Riley Badenbroek", "venue": "arXiv (Cornell University)", "volume": null, "pages": null, "type": "preprint", "language": "en", "abstract": "We consider an autonomous reconnaissance mission where an Unmanned Aerial Vehicle (UAV) has to visit several points of interest and communicate the intel back to the base. At every point of interest, the UAV has the option to either send back all available info, or continue to the next point of interest and communicate at a later stage. Both choices have a chance of detection, meaning the mission fails. We wish to maximize the expected amount of information gathered by the mission. This is modelled by a routing problem in a weighted graph. We show that the problem is NP-complete, discuss an ILP formulation, and use a genetic algorithm to find good solutions for up to ten points of interest.", "keywords": [ "Routing (electronic design automation)", "Computer science", "Computer network", "Telecommunications" ], "cited_by_openalex": 0, "cited_by_scopus": 0, "eid": null, "pii": null, "open_access_url": "https://arxiv.org/pdf/2406.19001", "sources": [ { "db": "openalex", "stream": "UAV", "query_id": "UAV-2" } ], "streams": [ "UAV" ], "relevance_signals": [ "UAV_NO_CTX" ], "auto_exclude_reason": "EC-4-topic", "screening_status": "auto_excluded", "screened_by": "auto-v1.0.0" }, { "id": "doi:10.1109/icocn63276.2024.10648560", "doi": "10.1109/icocn63276.2024.10648560", "title": "A Multi-Agent Routing Algorithm with Trajectory Prediction for Highly Dynamic UAV Networks", "year": 2024, "authors": [ "Ziyi Zhao", "Qi Zhang", "Yuanfeng Li", "Xiangjun Xin", "Jianxin Ma", "Meng Sun", "Yi Zhao", "Furong Chai", "Feng Chun Tian", "Fu Wang", "Qinghua Tian", "Yongjun Wang" ], "first_author": "Ziyi Zhao", "venue": "2024 22nd International Conference on Optical Communications and Networks Icocn 2024", "volume": null, "pages": null, "type": "conference-paper", "language": "en", "abstract": "To address the routing problems in high-dynamic UAV networks, a multi-agent routing algorithm with trajectory prediction is proposed. Simulations show the proposed algorithm can achieve better performance on the end-to-end delay and packet delivery ratio.", "keywords": [ "Computer science", "Trajectory", "Adaptive routing", "Routing (electronic design automation)", "Routing algorithm", "Algorithm", "Distributed computing", "Static routing", "Computer network", "Routing protocol" ], "cited_by_openalex": 0, "cited_by_scopus": "0", "eid": "2-s2.0-85203786143", "pii": null, "open_access_url": "http://dx.doi.org/10.1109/icocn63276.2024.10648560", "sources": [ { "db": "openalex", "stream": "UAV", "query_id": "UAV-2" }, { "db": "scopus", "stream": "UAV", "query_id": "UAV-2" } ], "streams": [ "UAV" ], "relevance_signals": [ "UAV_NO_CTX" ], "auto_exclude_reason": "EC-4-topic", "screening_status": "auto_excluded", "screened_by": "auto-v1.0.0" }, { "id": "doi:10.48550/arxiv.2412.15537", "doi": "10.48550/arxiv.2412.15537", "title": "Enhancing Large-scale UAV Route Planing with Global and Local Features via Reinforcement Graph Fusion", "year": 2024, "authors": [ "Tao Zhou", "Kai Ye", "Zeyu Shi", "Lin, Jiajing", "Dejun Xu", "Min Jiang" ], "first_author": "Tao Zhou", "venue": "arXiv (Cornell University)", "volume": null, "pages": null, "type": "preprint", "language": "en", "abstract": "Numerous remarkable advancements have been made in accuracy, speed, and parallelism for solving the Unmanned Aerial Vehicle Route Planing (UAVRP). However, existing UAVRP solvers face challenges when attempting to scale effectively and efficiently for larger instances. In this paper, we present a generalization framework that enables current UAVRP solvers to robustly extend their capabilities to larger instances, accommodating up to 10,000 points, using widely recognized test sets. The UAVRP under a large number of patrol points is a typical large-scale TSP problem.Our proposed framework comprises three distinct steps. Firstly, we employ Delaunay triangulation to extract subgraphs from large instances while preserving global features. Secondly, we utilize an embedded TSP solver to obtain sub-results, followed by graph fusion. Finally, we implement a decoding strategy customizable to the user's requirements, resulting in high-quality solutions, complemented by a warming-up process for the heatmap. To demonstrate the flexibility of our approach, we integrate two representative TSP solvers into our framework and conduct a comprehensive comparative analysis against existing algorithms using large TSP benchmark datasets. The results unequivocally demonstrate that our framework efficiently scales existing TSP solvers to handle large instances and consistently outperforms state-of-the-art (SOTA) methods. Furthermore, since our proposed framework does not necessitate additional training or fine-tuning, we believe that its generality can significantly advance research on end-to-end UAVRP solvers, enabling the application of a broader range of methods to real-world scenarios.", "keywords": [ "Reinforcement learning", "Fusion", "Graph", "Scale (ratio)", "Computer science", "Reinforcement", "Artificial intelligence", "Engineering", "Theoretical computer science", "Geography", "Structural engineering", "Cartography" ], "cited_by_openalex": 0, "cited_by_scopus": 0, "eid": null, "pii": null, "open_access_url": "https://arxiv.org/pdf/2412.15537", "sources": [ { "db": "openalex", "stream": "UAV", "query_id": "UAV-2" } ], "streams": [ "UAV" ], "relevance_signals": [ "UAV_NO_CTX" ], "auto_exclude_reason": "EC-4-topic", "screening_status": "auto_excluded", "screened_by": "auto-v1.0.0" }, { "id": "doi:10.24275/azc2024b004b", "doi": "10.24275/azc2024b004b", "title": "La importancia del problema de ruteo de vehículos (VPR) en el sector industrial en la última década", "year": 2024, "authors": [ "Roberto Garcia Aguirre", "División de\n Ciencias Básicas e Ingeniería, Universidad Autónoma Metropolina,\n Unidad Azcapotzlco.", "Román Anselmo Mora-Gutiérrez", "Edwin Montes-Orozco" ], "first_author": "Roberto Garcia Aguirre", "venue": "AZCATL", "volume": null, "pages": null, "type": "article", "language": "es", "abstract": "This work present an analysis of Vehicles Routing Problem (VRP) in the logistics and distibution of goods in las decade. This is not something new, it has been analyzed and studied since 1959, but today, technological development has transformed and contributed to this problem with proposal for use of electric vehicles and drones, with all the advantages and restrictions that they entail.", "keywords": [ "Philosophy" ], "cited_by_openalex": 0, "cited_by_scopus": 0, "eid": null, "pii": null, "open_access_url": "https://azcatl.azc.uam.mx/index.php/azcatl/article/download/30/49", "sources": [ { "db": "openalex", "stream": "UAV", "query_id": "UAV-2" } ], "streams": [ "UAV" ], "relevance_signals": [ "UAV_NO_CTX" ], "auto_exclude_reason": "EC-4-topic", "screening_status": "auto_excluded", "screened_by": "auto-v1.0.0" }, { "id": "doi:10.1080/23249935.2024.2444327", "doi": "10.1080/23249935.2024.2444327", "title": "A learning and searching integration approach for same-day delivery problem with heterogeneous fleets considering uncertainty", "year": 2024, "authors": [ "Meng Li", "Peng Zhao", "Yanbo Zhu", "Kaiquan Cai" ], "first_author": "Meng Li", "venue": "Transportmetrica A Transport Science", "volume": null, "pages": null, "type": "article", "language": "en", "abstract": "Rising customer expectations for fast shipping, has significantly fuelled the widespread popularity of same-day delivery services. To optimise these services for dynamic and stochastic requests, employing heterogeneous fleets that include both vehicles and drones can effectively minimise the resources required for delivery. However, uncertainties in the real world, particularly in vehicle travel, adversely affect the service levels. This paper introduces a same-day delivery problem with heterogeneous fleets considering uncertain travel and service time (SDDPHF-UT). We utilise a route-based Markov decision process to formulate this problem, explicitly incorporating travel and service uncertainty into the state and action spaces. Next, we develop an adaptive optimisation approach integrating learning and searching (AILS) to solve the problem. This approach employs policy proximal optimisation and dynamic variable neighbourhood search, responsible for request assignments and vehicle route planning, respectively. These components are interdependent and collaborate to tackle the problem in a synchronised manner, enhancing adaptability to dynamic and stochastic scenarios. Computational results indicate that the AILS significantly outperforms baseline approaches, exhibiting robust generalisation across various data distributions and fleet sizes, and achieving an average service rate improvement of 7.23%. This underscores AILS' potential as a highly effective tool of optimising same-day delivery operations in the face of uncertainty.", "keywords": [ "Computer science", "Markov decision process", "Operations research", "Interdependence", "Popularity", "Service (business)", "Adaptability", "Markov process", "Mathematical optimization", "Engineering" ], "cited_by_openalex": 0, "cited_by_scopus": 0, "eid": null, "pii": null, "open_access_url": "https://doi.org/10.1080/23249935.2024.2444327", "sources": [ { "db": "openalex", "stream": "UAV", "query_id": "UAV-2" } ], "streams": [ "UAV" ], "relevance_signals": [ "UAV_NO_CTX" ], "auto_exclude_reason": "EC-4-topic", "screening_status": "auto_excluded", "screened_by": "auto-v1.0.0" }, { "id": "doi:10.1007/978-981-97-7774-7_6", "doi": "10.1007/978-981-97-7774-7_6", "title": "Coverage Path Planning of Multiple Disconnected Convex Polygons Based on Improved Genetic Algorithm", "year": 2024, "authors": [ "Tianmi Hu", "Shuyue Wang", "Yang Lyu", "Xinkai Liang", "Quan Pan" ], "first_author": "Tianmi Hu", "venue": "Lecture notes in electrical engineering", "volume": "1267 LNEE", "pages": "55-67", "type": "conference-paper", "language": "en", "abstract": null, "keywords": [ "Regular polygon", "Path (computing)", "Computer science", "Genetic algorithm", "Algorithm", "Mathematical optimization", "Combinatorics", "Mathematics", "Geometry", "Computer network" ], "cited_by_openalex": 0, "cited_by_scopus": "0", "eid": "2-s2.0-85215538120", "pii": null, "open_access_url": "https://doi.org/10.1007/978-981-97-7774-7_6", "sources": [ { "db": "openalex", "stream": "UAV", "query_id": "UAV-2" }, { "db": "scopus", "stream": "UAV", "query_id": "UAV-2" } ], "streams": [ "UAV" ], "relevance_signals": [ "NO_TECHNOLOGY_MATCH" ], "auto_exclude_reason": "EC-4-topic", "screening_status": "auto_excluded", "screened_by": "auto-v1.0.0" }, { "id": "doi:10.7302/24059", "doi": "10.7302/24059", "title": "Multidisciplinary Design Optimization of Delivery Uncrewed Aerial Vehicles Considering Operations", "year": 2024, "authors": [ "Shugo Kaneko" ], "first_author": "Shugo Kaneko", "venue": "Deep Blue (University of Michigan)", "volume": null, "pages": null, "type": "dissertation", "language": "en", "abstract": "Uncrewed aerial vehicles (UAVs) enable rapid and environmentally friendly delivery of lightweight payloads, such as commercial packages, food, and medical supplies. Designing an energy-efficient UAV is the key to achieving the full potential of UAV delivery and lowering the environmental impact. To do so, multidisciplinary design optimization (MDO) is a powerful tool that assists engineers with design tasks and accelerates design space exploration by automatically finding the optimal design given the requirements and assumptions. This dissertation focuses on conceptual design optimization of delivery UAVs considering flight operations. Incorporating flight operational analysis and optimization in the UAV conceptual design process is important because the expected flight operations drive the design requirements, hence the UAV design. At the same time, the optimal flight operations are dependent on the UAV design parameters, meaning that the optimal UAV design and flight operations are mutually coupled. I apply MDO to capture this design-operation coupling, which ultimately improves the design and performance of delivery UAVs. In the first part of this dissertation, I present design optimization of a UAV fleet considering delivery operations. This problem simultaneously optimizes the fleet size and composition, UAV design variables, and delivery routing to design a fleet that fulfills expected delivery demands. To solve this mixed-integer nonlinear optimization problem, I propose an effective sequential heuristic algorithm that combines gradient-based design optimization and vehicle routing heuristics. I then demonstrate the accuracy, computational efficiency, and scalability of the proposed algorithm by comparing it to a commercial branch-and-cut solver. The results show that simultaneous fleet design and routing optimization reduces the fleet acquisition cost and delivery energy consumption by up to 20% compared to conventional uncoupled optimization. In the second part, I perform UAV conceptual design optimization considering takeoff flight operations, focusing on a single vehicle design in higher resolution. This problem yields simultaneous optimization of UAV design and takeoff trajectory, and I apply gradient-based optimization to solve it efficiently. To reduce the computational cost of gradient-based optimization, I propose new hierarchical linear solution strategies to accelerate derivative computations. I also perform benchmark studies of monolithic MDO architectures and design-trajectory coupling strategies to identify the best approach in terms of computational cost. The results of this dissertation show that simultaneous optimization can find a more energy-efficient UAV design compared to uncoupled optimization. This is achieved by capturing the system-level trade-offs between the efficiency in different flight phases, which uncoupled optimization cannot fully address. This demonstrates the importance of incorporating takeoff trajectory optimization in the conceptual design process of delivery UAVs.", "keywords": [ "Multidisciplinary approach", "Multidisciplinary design optimization", "Computer science", "Engineering", "Sociology" ], "cited_by_openalex": 0, "cited_by_scopus": 0, "eid": null, "pii": null, "open_access_url": "https://doi.org/10.7302/24059", "sources": [ { "db": "openalex", "stream": "UAV", "query_id": "UAV-2" } ], "streams": [ "UAV" ], "relevance_signals": [ "UAV_NO_CTX" ], "auto_exclude_reason": "EC-4-topic", "screening_status": "auto_excluded", "screened_by": "auto-v1.0.0" }, { "id": "title:otimizacao de areas de pesquisa", "doi": null, "title": "Otimização de áreas de pesquisa", "year": 2024, "authors": [ "João Pedro Figueiredo Gomes de Oliveira" ], "first_author": "João Pedro Figueiredo Gomes de Oliveira", "venue": "Portuguese National Funding Agency for Science, Research and Technology (RCAAP Project by FCT)", "volume": null, "pages": null, "type": "dissertation", "language": "pt", "abstract": "The use of Unmanned Aerial Vehicles (UAVs) in military and police contexts has been drastically in creasing in recent years, both individually and in swarms. One of the tasks they can perform is area coverage, which can later be directed towards a Search and Rescue (SAR) operation or forest and urban surveillance. This dissertation aims to find the optimized solution with minimum time for a Vehicle Routing Problem (VRP). To achieve this, an optimization problem is formulated using a Mixed-Integer Linear Programming (MILP) approach to find the minimum time value. The solution is tested for convex areas separated by sweep segments parallel to each other, thus generating a back and forth sweep pattern. It is also tested for non-convex areas that are decomposed through Delaunay triangulation. The methods were validated in Python, and it was found that the MILP formulation is essential to achieve the minimum time. Area coverage for non-convex areas, in most cases, obtained lower time va lues, which is important to get the mission completed faster, when compared to convex polygon method. However, some weaknesses were observed regarding the division of flight time for each UAV.", "keywords": [ "Delaunay triangulation", "Linear programming", "Vehicle routing problem", "Polygon (computer graphics)", "Regular polygon", "Routing (electronic design automation)", "Convex optimization", "Greedy algorithm" ], "cited_by_openalex": 0, "cited_by_scopus": 0, "eid": null, "pii": null, "open_access_url": "http://hdl.handle.net/10400.26/59799", "sources": [ { "db": "openalex", "stream": "UAV", "query_id": "UAV-2" } ], "streams": [ "UAV" ], "relevance_signals": [ "UAV_NO_CTX" ], "auto_exclude_reason": "EC-4-topic", "screening_status": "auto_excluded", "screened_by": "auto-v1.0.0" }, { "id": "doi:10.24200/j65.2024.64520.2405", "doi": "10.24200/j65.2024.64520.2405", "title": "توسعه و ارزیابی مدلهای جدید برای مسئله گشت آزاد وسایل نقلیه", "year": 2024, "authors": [ "حامد منشادیان", "محسن صادق عمل نیک", "سیدعلی ترابی" ], "first_author": "حامد منشادیان", "venue": "مهندسی صنایع و مدیریت", "volume": null, "pages": null, "type": "article", "language": "fa", "abstract": "Vehicle routing problems are a category of complex mathematical problems in the field of transportation and supply chain management, and a wide variety of these problems have been introduced.One category within this field involves the collaboration of two different types of fleets in a network, where in many cases, one of the fleets must patrol the graph as a support fleet and is not subject to the same constraints as the other fleet, such as only visiting a vertex or an edge once.Examples include refueling fleets or trucks providing services to drones, where these fleets patrol the network so that the other fleet can use their services as needed.In this paper, the problem of the free movement of such fleets on a graph is examined as a free patrol problem, which can be used as a sub-problem in the modeling and solving of many routing problems.To this end, the problem is modeled as a mixed-integer linear programming (MILP) problem in both discrete and continuous time spaces.Generally, it is expected that the model in continuous time space will exhibit lower computational complexity, but since modeling in continuous time requires changes to the graph, leading to an increase in the number of vertices and edges, its behavior needs to be more thoroughly investigated.On the other hand, another challenge in analyzing this problem is that the objective of the free patrol sub-problem depends on the main problem, as without the main problem, the free patrol problem may lose its objective, with a fleet patrolling the graph within a designated time.Therefore, to decouple and make the free patrol independent of the main problem, five different objective functions have been introduced for each model, covering a wider range of comparisons, leading to ten models in total.Subsequently, all ten models were solved exactly using randomly generated data for ten different graphs.Finally, the behavior of the models was evaluated and compared from various perspectives.The numerical results demonstrate the superior performance of continuous time model over the discrete time model.", "keywords": [ "Process (computing)", "Identification (biology)", "Product (mathematics)" ], "cited_by_openalex": 0, "cited_by_scopus": 0, "eid": null, "pii": null, "open_access_url": "https://sjie.journals.sharif.edu/article_23753_faf0427cc4125a74d48f5940004299a6.pdf", "sources": [ { "db": "openalex", "stream": "UAV", "query_id": "UAV-2" } ], "streams": [ "UAV" ], "relevance_signals": [ "UAV_NO_CTX", "TRUCK_NO_CTX" ], "auto_exclude_reason": "EC-4", "screening_status": "auto_excluded", "screened_by": "auto-v1.0.0" }, { "id": "doi:10.1111/itor.13526", "doi": "10.1111/itor.13526", "title": "Preface to the Special Issue on Logistics Optimization for Social Good", "year": 2024, "authors": [ "Jésica de Armas", "Helena Ramalhinho", "Stefan Voß" ], "first_author": "Jésica de Armas", "venue": "International Transactions in Operational Research", "volume": null, "pages": null, "type": "editorial", "language": "en", "abstract": "Making this world a better place goes along with efforts and challenges. Many of the related issues make logistics a common basis to allow for efficiency in various dimensions, be it related to climate change, healthcare operations or social good in general. This special issue of the International Transactions in Operational Research is a compilation of pioneering research that underscores the pivotal role of logistics optimization in addressing various social challenges. The selected papers reflect a diverse array of applications, from humanitarian aid to healthcare and education, demonstrating the broad impact and potential of operational research in driving social good. The journey towards this special issue began with a simple yet profound idea: leveraging logistics and operational research to create solutions that benefit society at large. Each paper included in this issue contributes uniquely to this overarching theme, offering innovative approaches and insights that push the boundaries of conventional logistics and supply chain management. The first paper, “The Role of Drones in Disaster Response: A Literature Review of Operations Research Applications”, sets the stage by exploring the applications of drone technology in disaster management. This comprehensive review not only highlights the current state of research but also identifies future directions for leveraging drones in humanitarian logistics. Following this, “A Probabilistic Bi-objective Model for a Humanitarian Location-Routing Problem Under Uncertain Demand and Road Closure” delves into the complexities of humanitarian logistics. The paper presents a robust model to address location and routing problems amidst uncertainty, providing crucial insights for effective disaster response planning. “A Predictive Multistage Postdisaster Damage Assessment Framework for Drone Routing” continues the focus on humanitarian efforts, introducing a novel framework that enhances post-disaster assessments and optimizes drone routing for timely aid delivery. Shifting to social care, the issue includes “Home Visit Scheduling for Family Interventions: A Child Protection Case Study”, which addresses the critical need for efficient scheduling in child protection services. This study exemplifies how operational research can directly contribute to societal welfare by optimizing intervention schedules for vulnerable populations. Another significant contribution to social care is “The Rich Heterogeneous Dial-a-Ride Problem with Trip Time Prediction”. This paper presents an advanced approach to managing transportation for individuals requiring special assistance, improving both efficiency and service quality. Healthcare logistics is represented by “Variable Neighborhood Search Approach to Face-Shield Delivery During Pandemic Periods”, which showcases the application of operational research in managing healthcare supply chains during crises. This timely research highlights strategies to enhance the distribution of essential medical supplies. The issue also features “Optimizing Extracurricular Activities Assignment and Related Logistical Deployment Cost Between Collaborating Schools”, which tackles the logistical challenges in education. The proposed optimization model facilitates better resource allocation and cost management for schools, ultimately benefiting students' extracurricular engagement. From the perspective of farming and sustainability, “Sustainable Urban Farming Using a Two-Phase Multi-objective and Multicriteria Decision-Making Approach” offers a comprehensive model for optimizing urban farming logistics. This research underscores the importance of sustainable practices in food production and distribution. “Assessing Social Performance in Supply Chain Design and Planning Through a Monetization Approach” explores the monetization of social performance in supply chains. This paper bridges the gap between economic and social objectives, offering a holistic view of supply chain management. Lastly, in the realm of logistics performance evaluation, “An Alternative Assessment Approach to Global Logistics Performance Evaluation: Common Weight H-DEA Approach” introduces an innovative method for assessing logistics performance on a global scale, providing valuable metrics for benchmarking and improvement. We extend our heartfelt thanks to the authors for their exceptional contributions and to the reviewers for their insightful feedback and dedication. It is our hope that this special issue will inspire further research and practical applications in the field of logistics optimization for social good, ultimately leading to more resilient, efficient, and socially responsible systems worldwide. By bringing together these diverse studies, this special issue not only highlights the versatility and impact of Operational Research but also emphasizes the collective effort required to address complex social challenges. We invite lecturers, participants, authors, and referees to explore these papers and join us in advancing the field of logistics optimization for the betterment of society.", "keywords": [ "Computer science", "Operations research", "Management science", "Economics", "Engineering" ], "cited_by_openalex": 0, "cited_by_scopus": 0, "eid": null, "pii": null, "open_access_url": "https://doi.org/10.1111/itor.13526", "sources": [ { "db": "openalex", "stream": "UAV", "query_id": "UAV-2" } ], "streams": [ "UAV" ], "relevance_signals": [ "UAV_NO_CTX" ], "auto_exclude_reason": "EC-4-topic", "screening_status": "auto_excluded", "screened_by": "auto-v1.0.0" }, { "id": "doi:10.48550/arxiv.2410.20849", "doi": "10.48550/arxiv.2410.20849", "title": "Optimal planning for heterogeneous autonomous teams with precedence and compatibility constraints and its application on power grid inspection with Unmanned Aerial Vehicles", "year": 2024, "authors": [ "Antonio Sojo", "Iván Maza", "Anı́bal Ollero" ], "first_author": "Antonio Sojo", "venue": "arXiv (Cornell University)", "volume": null, "pages": null, "type": "preprint", "language": "en", "abstract": "In this paper we address the optimal planning of autonomous teams for general purpose tasks including a wide spectrum of situations: from project management of human teams to the coordination of an automated assembly lines, focusing in the automated inspection of power grids. There exist many methods for task planning. However, the vast majority of such methods are conceived for very specific problems or situations and are often based in certain assumptions and simplifications. Consider for example all the different algorithms developed to solve the Vehicle Routing Problem (VRP) for all the different vehicles and environment characteristics. This means that no robust general planning method exists and that a possible extension of any of them to a more general situation is often not a trivial task. To address this, we propose a new truly general method ultimately based on a generalization of the Traveling Salesman Problem (TSP). We call this new model the Heterogeneous Multi-worker Task Planning Problem (HMWTPP). It provides a natural framework to model many situations typical in task planning of all kinds. Task-Worker compatibility, precedence/order and time-windows constraints are already encoded into the HMWTPP while it can be easily extended to include weight capacity or battery per node constraints in an intuitive manner. Several classical TSP problems included in the TSPLIB library are solved for validation and performance analysis of HMWTPP showing a comparable numerical performance to that of existing models. In addition, a synthetic example modeling an automated assembly line is analyzed to prove the potential capabilities of the HMWTPP in real-life scenarios. Ultimately, we focus in the computation of the optimal plan of Unmanned Aerial Vehicles (UAVs) specifically in the context of automated inspection of electrical power grids.", "keywords": [ "Compatibility (geochemistry)", "Grid", "Power grid", "Computer science", "Environmental science", "Marine engineering", "Engineering", "Power (physics)", "Geology", "Geodesy" ], "cited_by_openalex": 0, "cited_by_scopus": 0, "eid": null, "pii": null, "open_access_url": "https://arxiv.org/pdf/2410.20849", "sources": [ { "db": "openalex", "stream": "UAV", "query_id": "UAV-2" } ], "streams": [ "UAV" ], "relevance_signals": [ "UAV_NO_CTX" ], "auto_exclude_reason": "EC-4-topic", "screening_status": "auto_excluded", "screened_by": "auto-v1.0.0" }, { "id": "doi:10.1109/icuas60882.2024.10557087", "doi": "10.1109/icuas60882.2024.10557087", "title": "Optimizing Routes of Heterogenous Unmanned Systems using Supervised Learning in a Multi-Agent Framework: A computational study", "year": 2024, "authors": [ "R. Subramanian", "Md Safwan Mondal", "James D. Humann", "James M. Dotterweich", "Jean-Paul Reddinger", "Marshal Childers", "Pranav A. Bhounsule" ], "first_author": "R. Subramanian", "venue": null, "volume": null, "pages": null, "type": "conference-paper", "language": "en", "abstract": "Fast-paced but power-hungry Unmanned Aerial Vehicles (UAV) may collaborate with slow-paced Unmanned Ground Vehicles (UGV) acting as mobile recharging depots to perform large-scale and long-duration tasks such as in disaster relief management. It is important to be able to create high-quality vehicle routes in a short span of time to enable in-field, real-time deployment. A two-level optimization enables a tractable approach to solving such NP-hard combinatorial optimization problems, and it consists of an outer-level UGV route optimization to compute recharge locations and an inner-level UAV optimization to compute a sequence of nodes and recharging nodes to be visited. We consider various approaches to solve this two-level optimization. Method 1: Genetic algorithm for global search of UGV routes and a constraint programming solver for the UAV routes. Method 2: A-Teams framework that uses a combination of Genetic Algorithm (GA) for global search and Nelder-Mead for local search for UGV routes and constraint programming for inner routes, Method 3: Our proposed A-Teams by adding a supervised learning prediction step to veto out suboptimal evolutions from GA to the UGV route and constraint programming for the inner level, Method 4: Our proposed A-Teams for outer level but with a mixed integer programming solver for the inner-level. Our results on test cases show that the proposed Method 3 produces an optimal solution 30 % faster than Method 2, 79 % faster than Method 1, and 83% faster than Method 4 while being within 2 % of the solution optimality across these methods.", "keywords": [ "Computer science", "Artificial intelligence", "Multi-agent system", "Machine learning", "Distributed computing" ], "cited_by_openalex": 0, "cited_by_scopus": 0, "eid": null, "pii": null, "open_access_url": "http://dx.doi.org/10.1109/icuas60882.2024.10557087", "sources": [ { "db": "openalex", "stream": "UAV", "query_id": "UAV-2" } ], "streams": [ "UAV" ], "relevance_signals": [ "UAV_NO_CTX" ], "auto_exclude_reason": "EC-4-topic", "screening_status": "auto_excluded", "screened_by": "auto-v1.0.0" }, { "id": "doi:10.21821/2309-5180-2024-16-5-805-816", "doi": "10.21821/2309-5180-2024-16-5-805-816", "title": "Development of automation and control software for charging systems of multirotor small unmanned aircraft systems for tasks of cargo seaports", "year": 2024, "authors": [ "Eugene A. Voznesensky", "N. N. Maiorov", "Andrey N. Terekhov" ], "first_author": "Eugene A. Voznesensky", "venue": "Vestnik Gosudarstvennogo universiteta morskogo i rechnogo flota imeni admirala S O Makarova", "volume": null, "pages": null, "type": "article", "language": "en", "abstract": "The paper considers the situation of using an unmanned aircraft system to perform autonomous flights between cargo port areas, for example, to collect data for building digital spatial models or to transfer a certain type of cargo. It is noted that due to the considerable size and remoteness of cargo terminals from each other it is necessary to place a network of automated charging stations. The efficiency of autonomous flights is substantiated and a new model of flight assignment of an unmanned aircraft system is given for solving the routing problem, taking into account the location of charging station sites, for example, in cargo port areas. To solve the set tasks, a new hardware system for charging unmanned aerial systems considering a receiver module with a coil on board and a ground landing system for charging is considered, circuit diagrams are given and constraints for performing the battery charging process are specified. The fragments of programme codes of automation of the graphical interface of the webserver with display of all parameters and calculation of the coefficient of efficiency at charging are resulted. The choice of Arduino IDE software environment is justified. The possibility of using the developed automated station for battery charging for a large class of drones of mulitirotor type is noted. On the basis of a series of experiments in the flight research field of the laboratory of unmanned aircraft systems of the SUAI, it is established that the charging station together with the receiving module managed to achieve the efficiency of charge transfer at the level of 73.7 %. The obtained values of efficiency allow to draw a conclusion about the possibility of practical use for real transport tasks and the possibility of network deployment, in particular, on the dedicated specialised areas of the cargo port. The developed automation subprogramme for the deployment of a network of charging stations (e. g. in different areas of the port) allows to create an information system for monitoring the operation of charging stations, which significantly increases the controllability and reliability of the system.", "keywords": [ "Multirotor", "Automation", "Software", "Aeronautics", "Systems engineering", "Engineering", "Control (management)", "Computer science", "Control system", "Automotive engineering", "Aerospace engineering", "Operating system" ], "cited_by_openalex": 0, "cited_by_scopus": 0, "eid": null, "pii": null, "open_access_url": "https://journal.gumrf.ru/jour/article/download/513/415", "sources": [ { "db": "openalex", "stream": "UAV", "query_id": "UAV-2" } ], "streams": [ "UAV" ], "relevance_signals": [ "UAV_NO_CTX" ], "auto_exclude_reason": "EC-4-topic", "screening_status": "auto_excluded", "screened_by": "auto-v1.0.0" }, { "id": "doi:10.23919/acc60939.2024.10644620", "doi": "10.23919/acc60939.2024.10644620", "title": "Where to Drop Sensors from Aerial Robots to Monitor a Surface-Level Phenomenon?", "year": 2024, "authors": [ "Chak Lam Shek", "Guangyao Shi", "Ahmad Asghar", "Pratap Tokekar" ], "first_author": "Chak Lam Shek", "venue": "Proceedings of the American Control Conference", "volume": null, "pages": "367-374", "type": "conference-paper", "language": "en", "abstract": "We consider the problem of routing a team of energy-constrained Unmanned Aerial Vehicles (UAVs) to deploy sensors for monitoring a surface-level phenomenon in the presence of stochastic wind disturbances. Most of the environmental monitoring work considers the case where the sensors and their carrier are on one platform, and the sensing location can be controlled by controlling the carrier vehicle's position. In contrast, airdropping the sensors onto the ground can intro-duce stochasticity in the sensors' landing (i.e., measurement) locations. We focus on carefully choosing where to drop the sensors so that despite the measurement locations' stochasticity, we can still effectively monitor the surface-level phenomenon. Specifically, we introduce this problem where a team of UAVs must drop sensors within an allotted time budget. The objective is to maximize the mutual information between the phenomenon at Points of Interest and the measurements obtained at the random sensing locations. This is a variant of the Submodular Team Orienteering Problem with an additional constraint on the number of sensors each UAV can carry. We show that the stochasticity in the measurement location makes objective computationally expensive to compute. We propose a surrogate objective with a closed-form expression and an algorithm for the routing problem. We validate the proposed approach through extensive simulations using synthetic and a real-world dataset of Chlorophyll density from a Pacific Ocean sub-region.", "keywords": [ "Robot", "Drop (telecommunication)", "Computer science", "Phenomenon", "Environmental science", "Artificial intelligence", "Physics", "Telecommunications" ], "cited_by_openalex": 0, "cited_by_scopus": "0", "eid": "2-s2.0-85204448980", "pii": null, "open_access_url": "http://dx.doi.org/10.23919/acc60939.2024.10644620", "sources": [ { "db": "openalex", "stream": "UAV", "query_id": "UAV-2" }, { "db": "scopus", "stream": "UAV", "query_id": "UAV-2" } ], "streams": [ "UAV" ], "relevance_signals": [ "UAV_NO_CTX" ], "auto_exclude_reason": "EC-4-topic", "screening_status": "auto_excluded", "screened_by": "auto-v1.0.0" }, { "id": "doi:10.48550/arxiv.2409.05545", "doi": "10.48550/arxiv.2409.05545", "title": "Adaptive Probabilistic Planning for the Uncertain and Dynamic Orienteering Problem", "year": 2024, "authors": [ "Qiuchen Qian", "Yanran Wang", "David Edward Boyle" ], "first_author": "Qiuchen Qian", "venue": "arXiv (Cornell University)", "volume": null, "pages": null, "type": "preprint", "language": "en", "abstract": "The Orienteering Problem (OP) is a well-studied routing problem that has been extended to incorporate uncertainties, reflecting stochastic or dynamic travel costs, prize-collection costs, and prizes. Existing approaches may, however, be inefficient in real-world applications due to insufficient modeling knowledge and initially unknowable parameters in online scenarios. Thus, we propose the Uncertain and Dynamic Orienteering Problem (UDOP), modeling travel costs as distributions with unknown and time-variant parameters. UDOP also associates uncertain travel costs with dynamic prizes and prize-collection costs for its objective and budget constraints. To address UDOP, we develop an ADaptive Approach for Probabilistic paThs - ADAPT, that iteratively performs 'execution' and 'online planning' based on an initial 'offline' solution. The execution phase updates system status and records online cost observations. The online planner employs a Bayesian approach to adaptively estimate power consumption and optimize path sequence based on safety beliefs. We evaluate ADAPT in a practical Unmanned Aerial Vehicle (UAV) charging scheduling problem for Wireless Rechargeable Sensor Networks. The UAV must optimize its path to recharge sensor nodes efficiently while managing its energy under uncertain conditions. ADAPT maintains comparable solution quality and computation time while offering superior robustness. Extensive simulations show that ADAPT achieves a 100% Mission Success Rate (MSR) across all tested scenarios, outperforming comparable heuristic-based and frequentist approaches that fail up to 70% (under challenging conditions) and averaging 67% MSR, respectively. This work advances the field of OP with uncertainties, offering a reliable and efficient approach for real-world applications in uncertain and dynamic environments.", "keywords": [ "Orienteering", "Probabilistic logic", "Mathematical optimization", "Computer science", "Operations research", "Mathematics", "Artificial intelligence" ], "cited_by_openalex": 0, "cited_by_scopus": 0, "eid": null, "pii": null, "open_access_url": "https://arxiv.org/pdf/2409.05545", "sources": [ { "db": "openalex", "stream": "UAV", "query_id": "UAV-2" } ], "streams": [ "UAV" ], "relevance_signals": [ "UAV_NO_CTX" ], "auto_exclude_reason": "EC-4-topic", "screening_status": "auto_excluded", "screened_by": "auto-v1.0.0" }, { "id": "title:resolvedor monte carlo de espaco de acao continuo para problemas de processos decisorios markovianos", "doi": null, "title": "Resolvedor Monte Carlo de espaço de ação contínuo para problemas de processos decisórios Markovianos com restrições de probabilidade", "year": 2024, "authors": [ "Gustavo de Moura Souza" ], "first_author": "Gustavo de Moura Souza", "venue": "LA Referencia (Red Federada de Repositorios Institucionales de Publicaciones Científicas)", "volume": null, "pages": null, "type": "dissertation", "language": "en", "abstract": "The use of Unmanned Aerial Vehicles (UAV) expands constantly across various domains, from military applications to environmental monitoring and urban planning. Path planning for UAVs, especially in complex and dynamic environments, presents significant challenges, particularly when factoring in uncertainty and risk constraints. This dissertation focuses on developing a path planning algorithm utilizing Monte Carlo Tree Search (MCTS) that addresses chance constrained routing problems in continuous action spaces. Previous research in UAV path planning has extensively explored both deterministic and probabilistic methods. This study builds upon the probabilistic framework, aiming to leverage the strengths of MCTS in handling uncertainty and providing a flexible yet efficient path planning solution. The methodology involved the adaptation of the Vulcan algorithm to a continuous action space and its integration to Gymnasium, resulting in the development of the Nashor algorithm. It incorporates significant modifications, including continuous feasibility assessment at each state transition, to ensure practical and reliable route planning. Experimental setups included simulations in a custom-designed virtual environment named Itomori, created within the Gymnasium framework, facilitating the testing of the algorithm under various conditions, including different levels of GPS uncertainty and obstacle densities. Data were collected from numerous simulation runs across various map configurations and different discretization techniques, Hierarchical Partitions, as well as evaluations of the algorithms performance under varying risk constraints. Experiments demonstrated that the discretization techniques could sufficiently allow Nashor to find solutions for all tested maps, including the most challenging ones. The algorithms performance is significantly influenced by the acceptable level of risk, showing that, while impractically high uncertainty levels make solution finding difficult, Nashor still managed to identify viable routes under realistic uncertainty scenarios. Nashors ability to adapt to different levels of risk and uncertainty marks a important advancement in the field. Additionally, the development of the Itomori simulation environment offers a versatile platform for future research, allowing for the testing and validation of new path planning algorithms under a variety of conditions. This work contributes new studies in MCTS and discretization and also paves the way for further advancements in simulations involving risk by facilitating the communication between the environment and new algorithms.", "keywords": [ "Probabilistic logic", "Motion planning", "Monte Carlo method", "Monte Carlo tree search", "Path (computing)", "Discretization", "Leverage (statistics)", "Tree (set theory)", "Global Positioning System" ], "cited_by_openalex": 0, "cited_by_scopus": 0, "eid": null, "pii": null, "open_access_url": "https://www.teses.usp.br/teses/disponiveis/55/55134/tde-23042025-131038/", "sources": [ { "db": "openalex", "stream": "UAV", "query_id": "UAV-2" } ], "streams": [ "UAV" ], "relevance_signals": [ "UAV_NO_CTX" ], "auto_exclude_reason": "EC-4-topic", "screening_status": "auto_excluded", "screened_by": "auto-v1.0.0" }, { "id": "doi:10.5302/j.icros.2024.24.9001", "doi": "10.5302/j.icros.2024.24.9001", "title": "Guest Editorial: Urban Air Mobility and Vertiport System", "year": 2024, "authors": [ "Sungwook Cho" ], "first_author": "Sungwook Cho", "venue": "Journal of Institute of Control Robotics and Systems", "volume": "30", "pages": "67", "type": "editorial", "language": "en", "abstract": null, "keywords": [ "Environmental science", "Aeronautics", "Engineering" ], "cited_by_openalex": 1, "cited_by_scopus": "0", "eid": "2-s2.0-85184904687", "pii": null, "open_access_url": "https://doi.org/10.5302/j.icros.2024.24.9001", "sources": [ { "db": "openalex", "stream": "UAV", "query_id": "UAV-3" }, { "db": "scopus", "stream": "UAV", "query_id": "UAV-3" } ], "streams": [ "UAV" ], "relevance_signals": [ "UAV_NO_CTX" ], "auto_exclude_reason": "EC-4-topic", "screening_status": "auto_excluded", "screened_by": "auto-v1.0.0" }, { "id": "doi:10.32920/25262800.v1", "doi": "10.32920/25262800.v1", "title": "Towards Safe Drone Transportation in Toronto", "year": 2024, "authors": [ "Michael Gianfelice" ], "first_author": "Michael Gianfelice", "venue": null, "volume": null, "pages": null, "type": "other", "language": "en", "abstract": "This thesis focuses on the development of an application capable of predicting wind velocities at any location in Toronto that can be used to improve drone flight safety. First, computational fluid dynamics (CFD) was used to study the effect of downtown building geometry on the wind field. Wind speeds and bearings from CFD were extracted, compared to local weather station measurements, and were within 12% and 8% root mean square error (RMSE), respectively. Next, a simplified CFD model was developed to efficientlymodelToronto’ssuburbanzones. This model utilized a roughness parameterization to implicitly model small buildings. When compared to weather station data,the wind speeds and bearings from this model were within 8% and 2% RMSE, respectively. In combination, these chapters outline a methodology for accurately obtaining real time, historical, forecast, and statistical wind velocities in the drone flight environment which can be used to improve flight safety and efficiency.", "keywords": [ "Computational fluid dynamics", "Drone", "Wind speed", "Meteorology", "Downtown", "Mean squared error", "Environmental science", "Marine engineering", "Aerodynamics", "Aerospace engineering", "Engineering", "Geography" ], "cited_by_openalex": 0, "cited_by_scopus": 0, "eid": null, "pii": null, "open_access_url": "https://figshare.com/articles/thesis/Towards_Safe_Drone_Transportation_in_Toronto/25262800", "sources": [ { "db": "openalex", "stream": "UAV", "query_id": "UAV-3" } ], "streams": [ "UAV" ], "relevance_signals": [ "UAV_NO_CTX" ], "auto_exclude_reason": "EC-4-topic", "screening_status": "auto_excluded", "screened_by": "auto-v1.0.0" }, { "id": "doi:10.32920/25262800", "doi": "10.32920/25262800", "title": "Towards Safe Drone Transportation in Toronto", "year": 2024, "authors": [ "Michael Gianfelice" ], "first_author": "Michael Gianfelice", "venue": null, "volume": null, "pages": null, "type": "other", "language": "en", "abstract": "This thesis focuses on the development of an application capable of predicting wind velocities at any location in Toronto that can be used to improve drone flight safety. First, computational fluid dynamics (CFD) was used to study the effect of downtown building geometry on the wind field. Wind speeds and bearings from CFD were extracted, compared to local weather station measurements, and were within 12% and 8% root mean square error (RMSE), respectively. Next, a simplified CFD model was developed to efficientlymodelToronto’ssuburbanzones. This model utilized a roughness parameterization to implicitly model small buildings. When compared to weather station data,the wind speeds and bearings from this model were within 8% and 2% RMSE, respectively. In combination, these chapters outline a methodology for accurately obtaining real time, historical, forecast, and statistical wind velocities in the drone flight environment which can be used to improve flight safety and efficiency.", "keywords": [ "Computational fluid dynamics", "Drone", "Wind speed", "Meteorology", "Mean squared error", "Downtown", "Environmental science", "Marine engineering", "Computer science", "Aerospace engineering", "Engineering", "Geography" ], "cited_by_openalex": 0, "cited_by_scopus": 0, "eid": null, "pii": null, "open_access_url": "https://rshare.library.torontomu.ca/articles/thesis/Towards_Safe_Drone_Transportation_in_Toronto/25262800/1/files/44629921.pdf", "sources": [ { "db": "openalex", "stream": "UAV", "query_id": "UAV-3" } ], "streams": [ "UAV" ], "relevance_signals": [ "UAV_NO_CTX" ], "auto_exclude_reason": "EC-4-topic", "screening_status": "auto_excluded", "screened_by": "auto-v1.0.0" }, { "id": "doi:10.1109/i2ct61223.2024.10543517", "doi": "10.1109/i2ct61223.2024.10543517", "title": "Aerial Delivery System", "year": 2024, "authors": [ "Ishwari Deshpande", "Abhishek Patil", "Vinaya Tapkir" ], "first_author": "Ishwari Deshpande", "venue": "2024 IEEE 9th International Conference for Convergence in Technology I2ct 2024", "volume": null, "pages": null, "type": "conference-paper", "language": "en", "abstract": "Drones could develop into a dependable tool for civil, commercial, and recreational applications. Existing regulatory frameworks, however, frequently lag behind technical advancements, discouraging potential users or impeding future discoveries. It focuses on common societal problems including acceptability, efficiency, and sustainability that arise with the introduction of new transportation systems. Therefore, it goes much further than the widely discussed safety and security concerns surrounding drones. The project investigates the usage of drones for various payload sizes and autonomy levels, primarily employed in the transportation of people, commodities. It also examines instances of drone use in the transportation industry that go beyond the delivery of people or commodities, like their application to the upkeep of transportation infrastructure.", "keywords": [ "Computer science", "Remote sensing", "Geology" ], "cited_by_openalex": 0, "cited_by_scopus": "0", "eid": "2-s2.0-85196821927", "pii": null, "open_access_url": "http://dx.doi.org/10.1109/i2ct61223.2024.10543517", "sources": [ { "db": "openalex", "stream": "UAV", "query_id": "UAV-3" }, { "db": "scopus", "stream": "UAV", "query_id": "UAV-3" } ], "streams": [ "UAV" ], "relevance_signals": [ "UAV_NO_CTX" ], "auto_exclude_reason": "EC-4-topic", "screening_status": "auto_excluded", "screened_by": "auto-v1.0.0" }, { "id": "title:the use of drone transportation in healthcare contexts a rapid review of reviews", "doi": null, "title": "The use of drone transportation in healthcare contexts: a rapid review of reviews", "year": 2024, "authors": [ "Femke Hoekstra", "Cameron Ardiel" ], "first_author": "Femke Hoekstra", "venue": "OSF Preprints (OSF Preprints)", "volume": null, "pages": null, "type": "preprint", "language": null, "abstract": "This OSF page will include information related to the review of reviews on the use of drone technology in healthcare settings.", "keywords": [ "Drone", "Health care", "Key (lock)", "Information technology", "Information system" ], "cited_by_openalex": 0, "cited_by_scopus": 0, "eid": null, "pii": null, "open_access_url": "https://osf.io/bfguq", "sources": [ { "db": "openalex", "stream": "UAV", "query_id": "UAV-3" } ], "streams": [ "UAV" ], "relevance_signals": [ "UAV_NO_CTX" ], "auto_exclude_reason": "EC-4-topic", "screening_status": "auto_excluded", "screened_by": "auto-v1.0.0" }, { "id": "doi:10.12968/s0013-7758(24)90037-7", "doi": "10.12968/s0013-7758(24)90037-7", "title": "Vertiport at Vanguard of eVTOL Mobility in UK", "year": 2024, "authors": [ "Jason Ford" ], "first_author": "Jason Ford", "venue": "The Engineer", "volume": null, "pages": null, "type": "other", "language": "en", "abstract": null, "keywords": [ "Vanguard", "Political science", "History", "Ancient history" ], "cited_by_openalex": 0, "cited_by_scopus": 0, "eid": null, "pii": null, "open_access_url": "https://doi.org/10.12968/s0013-7758(24)90037-7", "sources": [ { "db": "openalex", "stream": "UAV", "query_id": "UAV-3" } ], "streams": [ "UAV" ], "relevance_signals": [ "UAV_NO_CTX" ], "auto_exclude_reason": "EC-4-topic", "screening_status": "auto_excluded", "screened_by": "auto-v1.0.0" }, { "id": "doi:10.4050/f-0080-2024-1275", "doi": "10.4050/f-0080-2024-1275", "title": "A Comparison of Proposed Concepts for Vertiport Markings & Symbology", "year": 2024, "authors": [ "Charles Cliff Johnson", "Lacey Thompson", "Grant Morfitt" ], "first_author": "Charles Cliff Johnson", "venue": null, "volume": null, "pages": null, "type": "conference-paper", "language": "en", "abstract": "The unique designs and capabilities of electric Vertical Takeoff and Landing (eVTOL) aircraft present a series of challenges to traditional infrastructure that was designed for conventional rotorcraft. Currently, several civil aviation authorities have released interim, preliminary guidance on aspects of vertical flight infrastructure. This paper presents a comparison of two of the proposed concepts for vertiport markings and symbology, the Federal Aviation Administration (FAA) \"Broken Wheel\" and the European Union Aviation Safety Association (EASA) \"V\". These concepts were evaluated over the course of two experimental studies using helicopter-rated pilots in the FAA William J. Hughes Technical Center's S76-D and Loft Dynamics H125 & R22 rotorcraft flight simulators.", "keywords": [ "Computer science", "Artificial intelligence", "Computer vision" ], "cited_by_openalex": 0, "cited_by_scopus": 0, "eid": null, "pii": null, "open_access_url": "https://doi.org/10.4050/F-0080-2024-1275", "sources": [ { "db": "openalex", "stream": "UAV", "query_id": "UAV-3" } ], "streams": [ "UAV" ], "relevance_signals": [ "UAV_NO_CTX" ], "auto_exclude_reason": "EC-4-topic", "screening_status": "auto_excluded", "screened_by": "auto-v1.0.0" }, { "id": "doi:10.2139/ssrn.4899028", "doi": "10.2139/ssrn.4899028", "title": "Hybrid Meta-Heuristic Algorithms for Solving Multi-Objective Hub Location Problem with Drone Based Delivery Mode", "year": 2024, "authors": [ "Mehrnaz Mohebbi", "Hamid Reza Maleki", "Sadegh Niroomand" ], "first_author": "Mehrnaz Mohebbi", "venue": "SSRN Electronic Journal", "volume": null, "pages": null, "type": "preprint", "language": "en", "abstract": null, "keywords": [ "Drone", "Meta heuristic", "Computer science", "Heuristic", "Mode (computer interface)", "Mathematical optimization", "Algorithm", "Artificial intelligence", "Mathematics", "Human–computer interaction" ], "cited_by_openalex": 0, "cited_by_scopus": 0, "eid": null, "pii": null, "open_access_url": "http://dx.doi.org/10.2139/ssrn.4899028", "sources": [ { "db": "openalex", "stream": "UAV", "query_id": "UAV-3" } ], "streams": [ "UAV" ], "relevance_signals": [ "UAV_NO_CTX" ], "auto_exclude_reason": "EC-4-topic", "screening_status": "auto_excluded", "screened_by": "auto-v1.0.0" }, { "id": "doi:10.4050/f-0080-2024-1356", "doi": "10.4050/f-0080-2024-1356", "title": "Development of a Turbulence-Based Design Criterion for Vertiports", "year": 2024, "authors": [ "Dr Guy Larose", "Maryam Al Labbad", "Sharon Schajnoha" ], "first_author": "Dr Guy Larose", "venue": null, "volume": null, "pages": null, "type": "conference-paper", "language": "en", "abstract": "The development of turbulence criteria to provide early guidance for the design of vertiports is presented in this paper. For any aircraft, winds, in particular crosswinds and gusty winds, are top of mind for all pilots engaging in take-off and landing maneuvers. It is anticipated that the same will be true for VTOL and eVTOLs landing on vertiports, in particular as new vertiports are built closer and closer to urban centres. First, a review of the current design criteria for vertiports around the world related to wind is presented, highlighting the commonality between the guidance and the gaps in their content. Second, the controllability criteria that VTOL and eVTOLs will likely need to meet in the pursuit of an airworthiness certification are reviewed and their pertinence with regards to vertiport design are discussed. Third, the characters of the wind and their impact on eVTOL flights at or near take-off and landing infrastructure is explored. Finally, a set of turbulence criteria for vertiports and a turbulence index are proposed. The index includes a scale for conditions ranging from favorable for take-off and landing; to more and more demanding conditions; up to turbulence conditions to be firmly avoided.", "keywords": [ "Turbulence", "Computer science", "Physics", "Meteorology" ], "cited_by_openalex": 0, "cited_by_scopus": 0, "eid": null, "pii": null, "open_access_url": "https://doi.org/10.4050/F-0080-2024-1356", "sources": [ { "db": "openalex", "stream": "UAV", "query_id": "UAV-3" } ], "streams": [ "UAV" ], "relevance_signals": [ "UAV_NO_CTX" ], "auto_exclude_reason": "EC-4-topic", "screening_status": "auto_excluded", "screened_by": "auto-v1.0.0" }, { "id": "doi:10.2139/ssrn.4794447", "doi": "10.2139/ssrn.4794447", "title": "The Effects of Drone Transportation on Blood Component Quality a Prospective Randomised Controlled Laboratory Study", "year": 2024, "authors": [ "Michael D. Wiltshire", "Jonathan Boxshall", "James Milne", "Hammad Jeilani", "Christopher Law", "Kasia Oleniacz", "Katherine Theobald", "Benedict L. Phillips" ], "first_author": "Michael D. Wiltshire", "venue": "SSRN Electronic Journal", "volume": null, "pages": null, "type": "preprint", "language": "en", "abstract": null, "keywords": [ "Download", "Component (thermodynamics)", "Drone", "Quality (philosophy)", "Computer science", "World Wide Web", "Biology" ], "cited_by_openalex": 0, "cited_by_scopus": 0, "eid": null, "pii": null, "open_access_url": "https://doi.org/10.2139/ssrn.4794447", "sources": [ { "db": "openalex", "stream": "UAV", "query_id": "UAV-3" } ], "streams": [ "UAV" ], "relevance_signals": [ "UAV_NO_CTX" ], "auto_exclude_reason": "EC-4-topic", "screening_status": "auto_excluded", "screened_by": "auto-v1.0.0" }, { "id": "doi:10.12985/ksaa.2024.32.1.079", "doi": "10.12985/ksaa.2024.32.1.079", "title": "A Research on the Design and Operation of Regional Hub-Level Vertiport", "year": 2024, "authors": [ "Dong-Wook Lee", "Dong-Kyu Lee", "Sung-Sik Park" ], "first_author": "Dong-Wook Lee", "venue": "Journal of the Korean Society for Aviation and Aeronautics", "volume": null, "pages": null, "type": "article", "language": "en", "abstract": "UAM is emerging due to the deepening population concentration in the metropolitan area and the problem of congested ground transportation in urban areas. Accordingly, along with research on eVTOL aircraft for UAM services, interest in vertiport, the interest in vertiports, the infrastructure that allows eVTOLs to take off and land, is also increasing. However, behind the concentration of population in the metropolitan area, aphenomenon of local extinction is occurring in conjunction with the aging population. AAM, which moves quickly through 3D space, can be an effective SOC facility in times of local extinction crisis. In this paper, we introduce a design plan from the perspective of a complex transper center for a regional hub-level vertiport that can connect with local high-speed rail and utilize local airports in compliance with the vertiport design guidelines issued by FAA(Federal Aviation Administration) and EASA(European union Aviation Safety Agency). We would like to present Vertiport’s future operation plan.", "keywords": [ "Metropolitan area", "Aviation", "Agency (philosophy)", "Population", "Plan (archaeology)", "Transport engineering", "Master plan", "Business", "Regional science", "Environmental planning", "Engineering", "Geography" ], "cited_by_openalex": 0, "cited_by_scopus": 0, "eid": null, "pii": null, "open_access_url": "http://www.jksaa.org/download/download_pdf?pid=jksaa-32-1-79", "sources": [ { "db": "openalex", "stream": "UAV", "query_id": "UAV-3" } ], "streams": [ "UAV" ], "relevance_signals": [ "UAV_NO_CTX" ], "auto_exclude_reason": "EC-4-topic", "screening_status": "auto_excluded", "screened_by": "auto-v1.0.0" }, { "id": "doi:10.21872/2024iise_8042", "doi": "10.21872/2024iise_8042", "title": "Technology Benchmarking-SWOT for eVTOLs and Vertiports based on literature review.", "year": 2024, "authors": [ "ETS", "Hachimy Mariam", "Laghrib Fatima", "ETS", "Hany Moustapha", "ETS", "Neila El Asli", "ETS" ], "first_author": "ETS", "venue": null, "volume": null, "pages": null, "type": "conference-paper", "language": "en", "abstract": "Advanced Air Mobility (AAM) is a disruptive technology representing the next stage of transportation innovation and aims to improve and facilitate urban, suburban, and regional mobility. Through this study we will focus on two key areas: Firstly, the electric vertical take-offand landing aircraft(eVTOL), which combines electric propulsion and vertical flight capability to provide fast and efficient transportation within and between cities. Secondly, the vertiports, a dedicated infrastructure from which these aircraftwill operate. To carry out our study, we will evaluate advanced air mobility as a new concept by studying its history and integration into the Québec market by gaining insights from comparable examples to collect essential information and data. Subsequently, we will conduct a SWOT analysis and a \"gap analysis\", two valuable tools for strategic planning and decision-making. First, we will start with a SWOT analysis by identifying the Strengths, Weaknesses, Opportunities, and Threats of both the eVTOLs and the vertiports. Then to achieve better observability, we will conduct a literature gap analysis, with a specific emphasis on batteries, a critical element for the eVTOL industry especially in the Québec market. This study will identify gaps in knowledge about battery technology, ensuring a preliminary exploration of the challenges and opportunities essential to eVTOL functionality.", "keywords": [ "Benchmarking", "SWOT analysis", "Computer science", "Process management", "Engineering", "Business", "Marketing" ], "cited_by_openalex": 0, "cited_by_scopus": 0, "eid": null, "pii": null, "open_access_url": "https://doi.org/10.21872/2024iise_8042", "sources": [ { "db": "openalex", "stream": "UAV", "query_id": "UAV-3" } ], "streams": [ "UAV" ], "relevance_signals": [ "UAV_NO_CTX" ], "auto_exclude_reason": "EC-4-topic", "screening_status": "auto_excluded", "screened_by": "auto-v1.0.0" }, { "id": "doi:10.2139/ssrn.4879969", "doi": "10.2139/ssrn.4879969", "title": "Vertiport Location Selection Criteria for Urban Air Mobility", "year": 2024, "authors": [ "Tülin MERCAN", "Volkan YAVAŞ", "Dilek CAN", "Yasin Mercan" ], "first_author": "Tülin MERCAN", "venue": "SSRN Electronic Journal", "volume": null, "pages": null, "type": "preprint", "language": "en", "abstract": null, "keywords": [ "Selection (genetic algorithm)", "Computer science", "Transport engineering", "Engineering", "Artificial intelligence" ], "cited_by_openalex": 0, "cited_by_scopus": 0, "eid": null, "pii": null, "open_access_url": "http://doi.org/10.2139/ssrn.4879969", "sources": [ { "db": "openalex", "stream": "UAV", "query_id": "UAV-3" } ], "streams": [ "UAV" ], "relevance_signals": [ "UAV_NO_CTX" ], "auto_exclude_reason": "EC-4-topic", "screening_status": "auto_excluded", "screened_by": "auto-v1.0.0" }, { "id": "doi:10.24867/symopis-2024-51-082", "doi": "10.24867/symopis-2024-51-082", "title": "COLLECTING PARAMETERS RELEVANT FOR VERTIPORT SIZING AND CAPACITY FROM THE LITERATURE", "year": 2024, "authors": [ "Bojana Mirković", "Matija Sindik" ], "first_author": "Bojana Mirković", "venue": null, "volume": null, "pages": null, "type": "conference-paper", "language": "en", "abstract": null, "keywords": [ "Sizing", "Computer science", "Chemistry" ], "cited_by_openalex": 0, "cited_by_scopus": 0, "eid": null, "pii": null, "open_access_url": "http://doi.org/10.24867/symopis-2024-51-082", "sources": [ { "db": "openalex", "stream": "UAV", "query_id": "UAV-3" } ], "streams": [ "UAV" ], "relevance_signals": [ "UAV_NO_CTX" ], "auto_exclude_reason": "EC-4-topic", "screening_status": "auto_excluded", "screened_by": "auto-v1.0.0" }, { "id": "doi:10.1109/dasc62030.2024.10749114", "doi": "10.1109/dasc62030.2024.10749114", "title": "Ground-Corrected Barometric Vertical Navigation System for Vertiport Operations", "year": 2024, "authors": [ "Samuel Heilein", "Omar García Crespillo" ], "first_author": "Samuel Heilein", "venue": "AIAA IEEE Digital Avionics Systems Conference Proceedings", "volume": null, "pages": null, "type": "conference-paper", "language": "en", "abstract": "The vertical separation of air vehicles from the ground, obstacles and other air space participants is critical for safe urban air mobility (UAM) flight operations. In particular, the reliable computation of vertical position plays a key role during take-offs and landings at vertiports for future air taxis. In this work, we investigate and design a barometric system for altitude determination. The system consists of an airborne barometer and a ground station transmitting pressure and temperature to the air vehicle. The system is designed to compensate for residual sensor calibration biases and altitude computation errors originating from the underlying atmospheric model. Altitude is estimated over time using an extended Kalman filter, for which barometric noise errors have been carefully considered. The performance of the developed barometric vertical navigation system is evaluated with real test flight data collected at the German Aerospace Center (DLR) National Experimental Test Center for Unmanned Aircraft Systems. The results obtained for ground-corrected barometric geodetic altitudes suggest that the system can be used for redundant altitude determination during vertiport operations, especially in the case of GNSS interference. It also supports the harmonization of altitudes for a common altitude reference system.", "keywords": [ "Remote sensing", "Geodesy", "Computer science", "Atmospheric model", "Environmental science", "Geology", "Aerospace engineering", "Meteorology", "Physics", "Engineering" ], "cited_by_openalex": 0, "cited_by_scopus": "0", "eid": "2-s2.0-85211193519", "pii": null, "open_access_url": "https://doi.org/10.1109/dasc62030.2024.10749114", "sources": [ { "db": "openalex", "stream": "UAV", "query_id": "UAV-3" }, { "db": "scopus", "stream": "UAV", "query_id": "UAV-3" } ], "streams": [ "UAV" ], "relevance_signals": [ "UAV_NO_CTX" ], "auto_exclude_reason": "EC-4-topic", "screening_status": "auto_excluded", "screened_by": "auto-v1.0.0" }, { "id": "doi:10.58940/2374-6793.1949", "doi": "10.58940/2374-6793.1949", "title": "Delphi Panel for Establishing Land Use Compatibility Areas and Standards for Vertiports", "year": 2024, "authors": [ "David Carl Ison" ], "first_author": "David Carl Ison", "venue": "International Journal of Aviation Aeronautics and Aerospace", "volume": null, "pages": null, "type": "article", "language": "en", "abstract": "This study aimed to determine land use compatibility guidelines for vertiports, which are locations where vertical take-off and landing (VTOL) aircraft operate. The study employed a three-round e-Delphi panel to establish vertiport land use compatibility zones and standards. The results reached a consensus of at least 70%, providing comprehensive land use compatibility recommendations for vertiports. The study provides a foundation for vertiport land use compatibility planning, ensuring the integration of vertiports in existing communities. The findings can also increase public and local officials' awareness of the needs and requirements of Advanced Air Mobility (AAM) infrastructure development. The uniformity between existing and proposed guidelines supports the recommendations of the e-Delphi panel. The findings should be useful to AAM stakeholders, VTOL aircraft manufacturers, regulators, and anyone working in a role that entails aviation or community planning.", "keywords": [ "Compatibility (geochemistry)", "Delphi", "Delphi method", "Computer science", "Environmental science", "Environmental resource management", "Systems engineering", "Engineering", "Programming language", "Artificial intelligence" ], "cited_by_openalex": 0, "cited_by_scopus": 0, "eid": null, "pii": null, "open_access_url": "https://doi.org/10.58940/2374-6793.1949", "sources": [ { "db": "openalex", "stream": "UAV", "query_id": "UAV-3" } ], "streams": [ "UAV" ], "relevance_signals": [ "UAV_NO_CTX" ], "auto_exclude_reason": "EC-4-topic", "screening_status": "auto_excluded", "screened_by": "auto-v1.0.0" }, { "id": "doi:10.12985/ksaa.2024.32.1.049", "doi": "10.12985/ksaa.2024.32.1.049", "title": "Analysis and Comparison of Factors to Influence the Use Behavior of Vertiport: UTAUT Research Model", "year": 2024, "authors": [ "Su-Mi Lee", "Ki-Woong Kim", "Sungsik Park" ], "first_author": "Su-Mi Lee", "venue": "Journal of the Korean Society for Aviation and Aeronautics", "volume": null, "pages": null, "type": "article", "language": "en", "abstract": "This study used the Unified Theory of Acceptance and Use of Technology(UTAUT) model to find factors that influence consumer acceptance intention toward Vertiport, a physical ground support technology required to implement AAM services. The analysis showed that among the four independent variables, Vertiport", "keywords": [ "Econometrics", "Statistics", "Psychology", "Mathematics" ], "cited_by_openalex": 0, "cited_by_scopus": 0, "eid": null, "pii": null, "open_access_url": "https://www.jksaa.org/download/download_pdf?pid=jksaa-32-1-49", "sources": [ { "db": "openalex", "stream": "UAV", "query_id": "UAV-3" } ], "streams": [ "UAV" ], "relevance_signals": [ "UAV_NO_CTX" ], "auto_exclude_reason": "EC-4-topic", "screening_status": "auto_excluded", "screened_by": "auto-v1.0.0" }, { "id": "doi:10.1016/j.atherosclerosis.2024.118210", "doi": "10.1016/j.atherosclerosis.2024.118210", "title": "Validation of site-less strategies and long-distance drone-based delivery and collection system to promote access to innovative treatments for patients with rare or severe dyslipidemias", "year": 2024, "authors": [ "Marie-Claude Morissette", "François Provencher", "Margit Kaesser", "Laurie-Anne Charest", "Miriam Larouche", "Daniel Gaudet", "Diane Brisson" ], "first_author": "Marie-Claude Morissette", "venue": "Atherosclerosis", "volume": null, "pages": null, "type": "article", "language": "en", "abstract": null, "keywords": [ "Drone", "Delivery system", "Computer science", "Medicine", "Operations management", "Engineering", "Biomedical engineering", "Biology" ], "cited_by_openalex": 0, "cited_by_scopus": 0, "eid": null, "pii": null, "open_access_url": "https://www.atherosclerosis-journal.com/article/S0021-9150(24)00777-9/pdf", "sources": [ { "db": "openalex", "stream": "UAV", "query_id": "UAV-3" } ], "streams": [ "UAV" ], "relevance_signals": [ "UAV_NO_CTX" ], "auto_exclude_reason": "EC-4-topic", "screening_status": "auto_excluded", "screened_by": "auto-v1.0.0" }, { "id": "doi:10.48550/arxiv.2410.02427", "doi": "10.48550/arxiv.2410.02427", "title": "Machine-learned flow estimation with sparse data -- exemplified for the rooftop of a UAV vertiport", "year": 2024, "authors": [ "Hou, Chang", "Luigi Marra", "Guy Y. Cornejo Maceda", "Peng Jiang", "Jingguo Chen", "Yutong Liu", "Gang Xiang Hu", "Jialong Chen", "Andrea Ianiro", "Stefano Discetti", "Andrea Meilán-Vila", "Bernd R. Noack" ], "first_author": "Hou, Chang", "venue": "arXiv (Cornell University)", "volume": null, "pages": null, "type": "preprint", "language": "en", "abstract": "We propose a physics-informed data-driven framework for urban wind estimation. This framework validates and incorporates the Reynolds number independence for flows under various working conditions, thus allowing the extrapolation for wind conditions far beyond the training data. Another key enabler is a machine-learned non-dimensionalized manifold from snapshot data. The velocity field is modeled using a double encoder-decoder approach. The first encoder normalizes data using the oncoming wind speed, while the second encoder projects this normalized data onto the isometric feature mapping manifold. The decoders reverse this process, with $k$-nearest neighbor performing the first decoding and the second undoing the normalization. The manifold is coarse-grained by clustering to reduce the computational load for de- and encoding. The sensor-based flow estimation is based on the estimate of the oncoming wind speed and a mapping from sensor signal to the manifold latent variables. The proposed machine-learned flow estimation framework is exemplified for the flow above an Unmanned Aerial Vehicle vertiport. The wind estimation is shown to generalize well for rare wind conditions, not included in the original database.", "keywords": [ "Computer science", "Estimation", "Flow (mathematics)", "Artificial intelligence", "Engineering", "Mathematics", "Systems engineering" ], "cited_by_openalex": 0, "cited_by_scopus": 0, "eid": null, "pii": null, "open_access_url": "https://arxiv.org/pdf/2410.02427", "sources": [ { "db": "openalex", "stream": "UAV", "query_id": "UAV-3" } ], "streams": [ "UAV" ], "relevance_signals": [ "UAV_NO_CTX" ], "auto_exclude_reason": "EC-4-topic", "screening_status": "auto_excluded", "screened_by": "auto-v1.0.0" }, { "id": "doi:10.48550/arxiv.2403.18166", "doi": "10.48550/arxiv.2403.18166", "title": "Incentive-Compatible Vertiport Reservation in Advanced Air Mobility: An Auction-Based Approach", "year": 2024, "authors": [ "Pan-Yang Su", "Chinmay Maheshwari", "Victoria Marie Tuck", "Shankar Sastry" ], "first_author": "Pan-Yang Su", "venue": "RePEc: Research Papers in Economics", "volume": null, "pages": null, "type": "preprint", "language": "en", "abstract": "The rise of advanced air mobility (AAM) is expected to become a multibillion-dollar industry in the near future. Market-based mechanisms are touted to be an integral part of AAM operations, which comprise heterogeneous operators with private valuations. In this work, we study the problem of designing a mechanism to coordinate the movement of electric vertical take-off and landing (eVTOL) aircraft, operated by multiple operators each having heterogeneous valuations associated with their fleet, between vertiports, while enforcing the arrival, departure, and parking constraints at vertiports. Particularly, we propose an incentive-compatible and individually rational vertiport reservation mechanism that maximizes a social welfare metric, which encapsulates the objective of maximizing the overall valuations of all operators while minimizing the congestion at vertiports. Additionally, we improve the computational tractability of designing the reservation mechanism by proposing a mixed binary linear programming approach that leverages the network flow structure.", "keywords": [ "Reservation", "Incentive compatibility", "Incentive", "Business", "Computer science", "Microeconomics", "Economics", "Computer network" ], "cited_by_openalex": 0, "cited_by_scopus": 0, "eid": null, "pii": null, "open_access_url": "https://arxiv.org/pdf/2403.18166", "sources": [ { "db": "openalex", "stream": "UAV", "query_id": "UAV-3" } ], "streams": [ "UAV" ], "relevance_signals": [ "UAV_NO_CTX" ], "auto_exclude_reason": "EC-4-topic", "screening_status": "auto_excluded", "screened_by": "auto-v1.0.0" }, { "id": "doi:10.38195/judik.2024.04.25.2.127", "doi": "10.38195/judik.2024.04.25.2.127", "title": "Planning Direction of Urban Air Mobility (UAM) Vertiport Using Parking Building Site", "year": 2024, "authors": [ "Hye-Lim Kim", "Sungjo Hong" ], "first_author": "Hye-Lim Kim", "venue": "Journal of the Urban Design Institute of Korea Urban Design", "volume": null, "pages": null, "type": "article", "language": "en", "abstract": "UAM의 활성화를 위해서는 충분한 버티포트의 조성이 필요하며, 주차장 건물과 버티포트의 복합은 버티포트 조성 방법으로 잘 알려져 있다. 이에 본 연구는 신도시 주차장 용지에 버티포트를 도입하기 위한 계획 방향 제시를 목적으로 한다. 일부 2기 신도시와 행정중심복합도시의 주차장용지 현황을 분석하고, 문헌 및 사례연구를 통하여 계획 방향을 마련하고, 시사점을 도출하였다. 본 연구 결과를 요약하면 다음과 같다. 대형 주차장용지에는 FATO 1개와 주기장 2개의 버티포트를 건축할 수 있다. 중형 주차장용지에는 FATO 1개만 있는 버티포트를 건축할 수 있다. 중형 주차장용지에 주기장을 갖춘 버티포트를 조성하기 위해서는 접한 도로나 인접 필지의 상부를 함께 이용하는 계획이 필요하며, 이를 위해서는 제도개선이 필요하다. 주변건물보다 높은 위치에 버티포트가 위치하기 위해서 주차장 건물의 고층화가 필요하며, 이를 위한 용적률 상향, 층수 상향, 허용용도의 추가가 필요하다. 버티포트의 진출입사면 확보를 위해 주변 건물의 높이와 배치의 종합적 관리가 필요하다.", "keywords": [ "Transport engineering", "Environmental science", "Geography", "Environmental planning", "Civil engineering", "Engineering" ], "cited_by_openalex": 0, "cited_by_scopus": 0, "eid": null, "pii": null, "open_access_url": "http://dx.doi.org/10.38195/judik.2024.04.25.2.127", "sources": [ { "db": "openalex", "stream": "UAV", "query_id": "UAV-3" } ], "streams": [ "UAV" ], "relevance_signals": [ "UAV_NO_CTX" ], "auto_exclude_reason": "EC-4-topic", "screening_status": "auto_excluded", "screened_by": "auto-v1.0.0" }, { "id": "doi:10.5207/jieie.2024.38.5.349", "doi": "10.5207/jieie.2024.38.5.349", "title": "A Study on the Optimization Design and Characteristics Evaluation of Touchdown and Lift off Area Lights for Vertiports", "year": 2024, "authors": [ "Sang-Wuk Shin", "Joo-Hyun Rho", "Min-Su Lim", "Jongmin Lim" ], "first_author": "Sang-Wuk Shin", "venue": "Journal of the Korean Institute of Illuminating and Electrical Installation Engineers", "volume": null, "pages": null, "type": "article", "language": "en", "abstract": "This paper presents the development of a Touchdown and Lift off Area light for marking the landing area in airports. To achieve this, the design requirements specified by the Federal Aviation Administration (FAA) and the International Civil Aviation Organization (ICAO) were analyzed and incorporated into the optimization design of the optical and power units. Additionally, a prototype Touchdown and Lift off Area light was produced, and its optical, structural, and electrical performance characteristics were measured to verify that the key performance requirements reflected in the design were met. Performance characteristic measurement data confirmed that the designed and manufactured Touchdown and Lift off Area light satisfied the regulatory minimum average intensity of 30.816 cd (>15 cd) and the chromaticity standard range (x=0.1333, y=0.6667 for Green). Furthermore, it was confirmed through respective measurement data that the structural and electrical key performance characteristics exceeded the standard thresholds. As a result of this study, the developed Touchdown and Lift off Area light is set to be installed at the dedicated vertical take-off and landing (VTOL) vertiport in Goheung, Jeollanam-do, which is being prepared for urban air mobility (UAM) demonstrations by the Ministry of Land, Infrastructure and Transport.", "keywords": [ "Touchdown", "Lift (data mining)", "Computer science", "Aerospace engineering", "Marine engineering", "Simulation", "Engineering", "Geography" ], "cited_by_openalex": 0, "cited_by_scopus": 0, "eid": null, "pii": null, "open_access_url": "http://dx.doi.org/10.5207/jieie.2024.38.5.349", "sources": [ { "db": "openalex", "stream": "UAV", "query_id": "UAV-3" } ], "streams": [ "UAV" ], "relevance_signals": [ "UAV_NO_CTX" ], "auto_exclude_reason": "EC-4-topic", "screening_status": "auto_excluded", "screened_by": "auto-v1.0.0" }, { "id": "doi:10.2139/ssrn.4873044", "doi": "10.2139/ssrn.4873044", "title": "Lighting Systems Design for Urban Air Mobility Vertiport: Critical Analysis and Experimental Validation", "year": 2024, "authors": [ "Moon Yong Ha", "Ho Il Jang", "Min-Su Lim", "Chengzhang Lyu", "Venkata Dinavahi" ], "first_author": "Moon Yong Ha", "venue": "SSRN Electronic Journal", "volume": null, "pages": null, "type": "preprint", "language": "en", "abstract": null, "keywords": [ "Environmental science", "Computer science", "Architectural engineering", "Engineering" ], "cited_by_openalex": 0, "cited_by_scopus": 0, "eid": null, "pii": null, "open_access_url": "http://dx.doi.org/10.2139/ssrn.4873044", "sources": [ { "db": "openalex", "stream": "UAV", "query_id": "UAV-3" } ], "streams": [ "UAV" ], "relevance_signals": [ "UAV_NO_CTX" ], "auto_exclude_reason": "EC-4-topic", "screening_status": "auto_excluded", "screened_by": "auto-v1.0.0" }, { "id": "doi:10.2139/ssrn.4970457", "doi": "10.2139/ssrn.4970457", "title": "Lighting Systems Design for Urban Air Mobility Vertiport: Critical Analysis and Experimental Validation", "year": 2024, "authors": [ "Moon Yong Ha", "Ho Il Jang", "Min-Su Lim", "Chengzhang Lyu", "Venkata Dinavahi" ], "first_author": "Moon Yong Ha", "venue": "SSRN Electronic Journal", "volume": null, "pages": null, "type": "preprint", "language": "en", "abstract": null, "keywords": [ "Environmental science", "Computer science", "Architectural engineering", "Systems engineering", "Reliability engineering", "Engineering" ], "cited_by_openalex": 0, "cited_by_scopus": 0, "eid": null, "pii": null, "open_access_url": "http://dx.doi.org/10.2139/ssrn.4970457", "sources": [ { "db": "openalex", "stream": "UAV", "query_id": "UAV-3" } ], "streams": [ "UAV" ], "relevance_signals": [ "UAV_NO_CTX" ], "auto_exclude_reason": "EC-4-topic", "screening_status": "auto_excluded", "screened_by": "auto-v1.0.0" }, { "id": "doi:10.1007/978-3-031-61963-2_30", "doi": "10.1007/978-3-031-61963-2_30", "title": "A Conceptual Design for Threat Detection System in UAM Vertiport Using Video Recognition and Flight Data", "year": 2024, "authors": [ "Donghyun Yoon", "Juho Lee", "Jinyong Lee", "Youngjae Lee" ], "first_author": "Donghyun Yoon", "venue": "Communications in computer and information science", "volume": "2118 CCIS", "pages": "302-310", "type": "conference-paper", "language": "en", "abstract": null, "keywords": [ "Computer science", "Artificial intelligence" ], "cited_by_openalex": 0, "cited_by_scopus": "0", "eid": "2-s2.0-85197157501", "pii": null, "open_access_url": "https://doi.org/10.1007/978-3-031-61963-2_30", "sources": [ { "db": "openalex", "stream": "UAV", "query_id": "UAV-3" }, { "db": "scopus", "stream": "UAV", "query_id": "UAV-3" } ], "streams": [ "UAV" ], "relevance_signals": [ "UAV_NO_CTX" ], "auto_exclude_reason": "EC-4-topic", "screening_status": "auto_excluded", "screened_by": "auto-v1.0.0" }, { "id": "doi:10.2514/6.2024-3335.c1", "doi": "10.2514/6.2024-3335.c1", "title": "Correction: Efficient noise footprint computation for urban air mobility maneuvers in vertiport environments", "year": 2024, "authors": [ "Furkat Yunus", "Carmine Varriale", "Mirjam Snellen" ], "first_author": "Furkat Yunus", "venue": "30th AIAA Ceas Aeroacoustics Conference 2024", "volume": null, "pages": null, "type": "erratum", "language": "en", "abstract": null, "keywords": [ "Footprint", "Computer science", "Noise (video)", "Computation", "Artificial intelligence", "Geography", "Algorithm" ], "cited_by_openalex": 0, "cited_by_scopus": "0", "eid": "2-s2.0-85202794511", "pii": null, "open_access_url": "https://arc.aiaa.org/doi/pdf/10.2514/6.2024-3335.c1", "sources": [ { "db": "openalex", "stream": "UAV", "query_id": "UAV-3" }, { "db": "scopus", "stream": "UAV", "query_id": "UAV-3" } ], "streams": [ "UAV" ], "relevance_signals": [ "UAV_NO_CTX" ], "auto_exclude_reason": "EC-4-topic", "screening_status": "auto_excluded", "screened_by": "auto-v1.0.0" }, { "id": "doi:10.31673/2786-8362.2024.026490", "doi": "10.31673/2786-8362.2024.026490", "title": "FEATURES OF DEVELOPING A MOBILE APPLICATION FOR SERVICE DELIVERY USING UNMANNED AERIAL DELIVERY VEHICLE AND PERSONAL DELIVERY DEVICES", "year": 2024, "authors": [ "Ю. І. Катков", "С. О. Сєрих", "Д. М. Сарбаш", "В. В. Антонов" ], "first_author": "Ю. І. Катков", "venue": "Scientific Notes of the State University of Telecommunications", "volume": null, "pages": null, "type": "article", "language": "en", "abstract": "Features of developing a mobile application for service delivery using unmanned aerial delivery vehicle and personal delivery devices.The food delivery app market is not only extremely dynamic and rapidly growing but also very diverse.Logistics forms the basis of on-demand service apps, and therefore, the delivery process is key to its realization.The logistics and supply chain industry is rapidly evolving, and one of the most interesting innovations is the delivery of ordered goods by drones for airborne delivery (unmanned aerial delivery vehicle -UADV) and ground delivery robots (personal delivery devices -PDD) on demand to enhance the efficiency and speed of last-mile delivery.Companies are transitioning to the use of UADV/PDD on demand by automating and scaling current service operations.Therefore, the concept of using UADV/PDD on demand for quick and efficient transportation of goods has attracted significant attention in recent years.The technology of delivering ordered goods by UADV/PDD on demand is revolutionary.With their ability to maneuver quickly and access hard-to-reach places, this technology offers numerous advantages that can streamline the delivery process.However, their implementation presents both specific challenges and unique opportunities, requiring careful consideration during the development of mobile apps for delivery services.The article demonstrates that during the development of mobile apps for delivery services, it is necessary to consider the technical features of using UADV/PDD, provides a classification of UADV/PDD that can be used in on-demand delivery logistics to users.The advantages and disadvantages of each group of UADV/PDD regarding their application in the delivery logistics of various cargoes under different conditions are considered.Based on this, conclusions are drawn regarding the rationality of using certain types of UADV/PDD on demand for food delivery, as well as the tasks of developing mobile apps for delivery services.Keywords: logistics,", "keywords": [ "Service delivery framework", "Computer science", "Food delivery", "Service (business)", "Delivery system", "Engineering", "Business", "Biomedical engineering" ], "cited_by_openalex": 0, "cited_by_scopus": 0, "eid": null, "pii": null, "open_access_url": "https://journals.dut.edu.ua/index.php/sciencenotes/article/download/3107/2998", "sources": [ { "db": "openalex", "stream": "UAV", "query_id": "UAV-3" } ], "streams": [ "UAV" ], "relevance_signals": [ "UAV" ], "auto_exclude_reason": null, "screening_status": "pending_human_screening", "screened_by": "auto-v1.0.0" }, { "id": "doi:10.1121/10.0026988", "doi": "10.1121/10.0026988", "title": "Use-case study for a smaller German community and beyond, with realistic traffic scenario and three alternative vertiport locations", "year": 2024, "authors": [ "Michael W. Bauer" ], "first_author": "Michael W. Bauer", "venue": "The Journal of the Acoustical Society of America", "volume": null, "pages": null, "type": "conference-abstract", "language": "en", "abstract": "Future individual air traffic will be based on air vehicles, such as drones and air-taxis. While drones, e.g., for delivery of goods may be processed decentralized, passenger air-taxis will be operated at vertiports in city centers, e.g., connected to big rail hubs, close to civil airports, but also in smaller communities in the vicinity of larger cities. Here, air-taxi noise—mainly take-off and approach—can impact residential areas inside the community but also in its neighborhood. In cooperation with a midsized community near to Munich/Germany, three potential vertiport locations in the community’s area are investigated under the aspect of noise and potentially related noise annoyance. To create a use-case with results, transferable to similar situations, realistic numbers for daily air-taxi movements between the use-case vertiport and five neighbor cities are included. These connections imply two different types of air-taxis: one tilt-wing eVTOL for the ranges up to 75 miles, and one multicopter aircraft serving on distances up to 30 miles. The UAM noise use-case study is performed for all three vertiport positions, optimized flight paths, and different flight profiles. The results regarding community noise, but also for en-route noise between the neighboring vertiports, are discussed in this paper.", "keywords": [ "German", "Computer science", "Econometrics", "Environmental science", "Geography", "Mathematics", "Archaeology" ], "cited_by_openalex": 0, "cited_by_scopus": 0, "eid": null, "pii": null, "open_access_url": "http://dx.doi.org/10.1121/10.0026988", "sources": [ { "db": "openalex", "stream": "UAV", "query_id": "UAV-3" } ], "streams": [ "UAV" ], "relevance_signals": [ "UAV_NO_CTX" ], "auto_exclude_reason": "EC-4-topic", "screening_status": "auto_excluded", "screened_by": "auto-v1.0.0" }, { "id": "doi:10.1007/978-981-97-7371-8_33", "doi": "10.1007/978-981-97-7371-8_33", "title": "NICSR-A Deep Learning-Based Noise Identification and Compensation Technique for Super-Resolution of Drone-Captured Images", "year": 2024, "authors": [ "Amul Batra", "Meetha V. Shenoy" ], "first_author": "Amul Batra", "venue": "Lecture notes in networks and systems", "volume": "1128 LNNS", "pages": "413-432", "type": "conference-paper", "language": "en", "abstract": null, "keywords": [ "Drone", "Identification (biology)", "Artificial intelligence", "Computer vision", "Computer science", "Compensation (psychology)", "Noise (video)", "Deep learning", "Psychology", "Image (mathematics)", "Biology" ], "cited_by_openalex": 1, "cited_by_scopus": "0", "eid": "2-s2.0-85213018869", "pii": null, "open_access_url": "https://doi.org/10.1007/978-981-97-7371-8_33", "sources": [ { "db": "openalex", "stream": "UAV", "query_id": "UAV-3" }, { "db": "scopus", "stream": "UAV", "query_id": "UAV-3" } ], "streams": [ "UAV" ], "relevance_signals": [ "UAV_NO_CTX" ], "auto_exclude_reason": "EC-4-topic", "screening_status": "auto_excluded", "screened_by": "auto-v1.0.0" }, { "id": "doi:10.2514/6.2024-4516", "doi": "10.2514/6.2024-4516", "title": "Modeling & Simulation of the Rapid Rigging & De-Rigging Airdrop System (RRDAS)", "year": 2024, "authors": [ "Usbaldo Fraire" ], "first_author": "Usbaldo Fraire", "venue": "AIAA Aviation Forum and Ascend 2024", "volume": null, "pages": null, "type": "conference-paper", "language": "en", "abstract": "The US Army Combat Capabilities Development Command Soldier Center (DEVCOM-SC) Aerial Delivery Division (ADD) Modeling and Simulation (M&S) Group is supporting efforts to analyze the performance of the Rapid Rigging and De-Rigging Airdrop System (RRDAS) used as a decelerator system for the landing phase of flight. The RRDAS platform is a modified Type-V platform that includes a multi-airbag system that is deployed once the payload exits the aircraft. The M&S objectives include the development of an airbag model that can be used to bound payload impact performance using standard vehicle configurations. The High Mobility Multi-Wheeled Vehicle (HMMWV) is being simulated using the RRDAS platform with options that include Honeycomb Kits and Outriggers to reduce the risk of roll-over. The Airdrop Impact Mitigation Simulation (AIMS) capability is being applied to provide performance insights and accelerometer data collected during ground test efforts will be used to verify simulation performance. The purpose of the model developments is to ultimately simulate a Joint Light Tactical Vehicle (JLTV) on an RRDAS and to optimize the landing procedures to ensure the Soldier can drive off with minimal de-rigging effort and reduce the overall threat-level during mission operations. This technology and M&S capabilities developed will be applied to future airdrop project efforts that require the length of the platform to be extended to accommodate heavier payloads. The focus of this paper is to communicate how these challenges are being undertaken with and without data sources and how the M&S capabilities portfolio is expanding to help simulate future airdrop systems and support to deliver the Army of 2030.", "keywords": [ "Computer science" ], "cited_by_openalex": 1, "cited_by_scopus": "0", "eid": "2-s2.0-85204209014", "pii": null, "open_access_url": "https://doi.org/10.2514/6.2024-4516", "sources": [ { "db": "openalex", "stream": "UAV", "query_id": "UAV-3" }, { "db": "scopus", "stream": "UAV", "query_id": "UAV-3" } ], "streams": [ "UAV" ], "relevance_signals": [ "UAV_NO_CTX" ], "auto_exclude_reason": "EC-4-topic", "screening_status": "auto_excluded", "screened_by": "auto-v1.0.0" }, { "id": "title:challenges and opportunities of urban air mobility how much noise is acceptable", "doi": null, "title": "Challenges and Opportunities of Urban Air Mobility - How Much Noise is Acceptable?", "year": 2024, "authors": [ "Nabil Hagag", "Bianca Isabella Schuchardt", "Albert End", "Frank Meller", "Henry Pak", "Karolin Schweiger", "Christoph Torens" ], "first_author": "Nabil Hagag", "venue": "elib (German Aerospace Center)", "volume": null, "pages": null, "type": "conference-paper", "language": "en", "abstract": "Equivalent to a density of 0.02 vertiports per sq.km * 2 Equivalent to a density of 0.01 vertiports per sq.", "keywords": [ "Noise (video)", "Field (mathematics)", "Noise pollution", "Key (lock)" ], "cited_by_openalex": 0, "cited_by_scopus": 0, "eid": null, "pii": null, "open_access_url": "https://elib.dlr.de/204656/1/Keynotet_UAM_Noise_TU%20Braunschweig.pdf", "sources": [ { "db": "openalex", "stream": "UAV", "query_id": "UAV-3" } ], "streams": [ "UAV" ], "relevance_signals": [ "UAV_NO_CTX" ], "auto_exclude_reason": "EC-4-topic", "screening_status": "auto_excluded", "screened_by": "auto-v1.0.0" }, { "id": "doi:10.82992/intellectum/handle.10818.129", "doi": "10.82992/intellectum/handle.10818.129", "title": "Operations Research methodologies in Advanced Air Mobility and their potential applications in Emergency Medical Services", "year": 2024, "authors": [ "Julian Alberto Espejo Diaz" ], "first_author": "Julian Alberto Espejo Diaz", "venue": "HAL (Le Centre pour la Communication Scientifique Directe)", "volume": null, "pages": null, "type": "dissertation", "language": "es", "abstract": "Recent and important progress in electric vertical take-off and landing (eVTOL) vehicles indicates that soon, these vehicles could transport people and cargo in urban and rural areas. Advanced air mobility (AAM) vehicles such as eVTOL aircraft have the potential to serve as an alternative to traditional modes of transportation. In addition, AAM vehicles can also be used to support healthcare operations. For example, they can be used to provide emergency medical services (EMS) in areas with limited access to ground transportation. This thesis explores the use of operations research techniques to solve important planning problems in AAM operations while considering the unique features of this new technology. This work addresses (i) the aircraft scheduling problem at vertiports, (ii) the vertiport selection problem for EMS, and (iii) the simultaneous vertiport selection and eVTOL distribution problem for EMS. To tackle these problems, various operations research techniques are employed including optimization, heuristics, and simulation models. Data analytics techniques, such as clustering algorithms, are also integrated into the research. The performance of the proposed solution procedures is evaluated using synthetic data and case studies inspired in data from the Auvergne-Rhône-Alpes and Grand Est regions in France. The main results indicate that using the appropriate tools for scheduling aircraft at vertiports (such as the one presented in this thesis) the operations of vertiports can be efficient. In addition, the results indicate that implementing eVTOL vehicles for aeromedical transportation can provide better access to EMS in remote areas. However, the autonomy of these vehicles remains a critical factor in determining their broader applicability. Overall, this thesis provides insights and methodologies to enhance the efficiency and effectiveness of AAM operations in vertiports and its applicability to EMS.", "keywords": [ "Emergency medical services", "Computer science", "Engineering", "Systems engineering", "Aeronautics", "Engineering management", "Medical emergency", "Medicine" ], "cited_by_openalex": 0, "cited_by_scopus": 0, "eid": null, "pii": null, "open_access_url": "https://theses.hal.science/tel-04515250v1/document", "sources": [ { "db": "openalex", "stream": "UAV", "query_id": "UAV-3" } ], "streams": [ "UAV" ], "relevance_signals": [ "UAV_NO_CTX" ], "auto_exclude_reason": "EC-4-topic", "screening_status": "auto_excluded", "screened_by": "auto-v1.0.0" }, { "id": "doi:10.48550/arxiv.2404.03710", "doi": "10.48550/arxiv.2404.03710", "title": "Self-organized free-flight arrival for urban air mobility", "year": 2024, "authors": [ "Martin Waltz", "Ostap Okhrin", "Michael Schultz" ], "first_author": "Martin Waltz", "venue": "arXiv (Cornell University)", "volume": null, "pages": null, "type": "preprint", "language": "en", "abstract": "Urban air mobility is an innovative mode of transportation in which electric vertical takeoff and landing (eVTOL) vehicles operate between nodes called vertiports. We outline a self-organized vertiport arrival system based on deep reinforcement learning. The airspace around the vertiport is assumed to be circular, and the vehicles can freely operate inside. Each aircraft is considered an individual agent and follows a shared policy, resulting in decentralized actions that are based on local information. We investigate the development of the reinforcement learning policy during training and illustrate how the algorithm moves from suboptimal local holding patterns to a safe and efficient final policy. The latter is validated in simulation-based scenarios, including robustness analyses against sensor noise and a changing distribution of inbound traffic. Lastly, we deploy the final policy on small-scale unmanned aerial vehicles to showcase its real-world usability.", "keywords": [ "Computer science", "Environmental science", "Transport engineering", "Engineering" ], "cited_by_openalex": 0, "cited_by_scopus": 0, "eid": null, "pii": null, "open_access_url": "https://arxiv.org/pdf/2404.03710", "sources": [ { "db": "openalex", "stream": "UAV", "query_id": "UAV-3" } ], "streams": [ "UAV" ], "relevance_signals": [ "UAV_NO_CTX" ], "auto_exclude_reason": "EC-4-topic", "screening_status": "auto_excluded", "screened_by": "auto-v1.0.0" }, { "id": "doi:10.2514/6.2024-3941", "doi": "10.2514/6.2024-3941", "title": "Modeling the Cascading Impact of Off-Nominal Disruptions in Urban Air Mobility Operating Environment", "year": 2024, "authors": [ "Tien‐Yueh Fung", "Brady J. Beck", "Sonali Sinha Roy", "Dalia Bekdache", "Yinchien Huang", "Cesare Guariniello", "Daniel A. DeLaurentis" ], "first_author": "Tien‐Yueh Fung", "venue": null, "volume": null, "pages": null, "type": "conference-paper", "language": "en", "abstract": "A matured state of Urban Air Mobility (UAM) operations will bring airspace with high aircraft density and vertiports in close proximity to each other and/or structures in the urban area, all together forming conditions conducive to cascading disruptions. Cascading disruptions are off-nominal events that trigger a chain-reaction of additional events that might degrade system stability. This paper aims to assess the risk triggered by off-nominal events in the UAM system-of-systems (SoS). Through Agent-Based Modeling (ABM), a passenger in distress event is simulated to observe the system-wide effects such as total aircraft delay, number of diversions, number of cancellations, and number of off-nominal aircraft and vertiports. The Atlanta Metropolitan Area is chosen for the case study, with existing airports and heliports standing in as UAM vertiports. Deterministic off-nominal scenarios with unsaturated and saturated air traffic are simulated to observe the characteristics of cascading delays and describe the risk-prone conditions. A reservation-based algorithm is proposed to estimate the cascading delay induced by an off-nominal event and thereby inform UAM operators which vertiports to avoid under the contingency.", "keywords": [ "Computer science", "Environmental science" ], "cited_by_openalex": 0, "cited_by_scopus": 0, "eid": null, "pii": null, "open_access_url": "https://doi.org/10.2514/6.2024-3941", "sources": [ { "db": "openalex", "stream": "UAV", "query_id": "UAV-3" } ], "streams": [ "UAV" ], "relevance_signals": [ "UAV_NO_CTX" ], "auto_exclude_reason": "EC-4-topic", "screening_status": "auto_excluded", "screened_by": "auto-v1.0.0" }, { "id": "doi:10.48550/arxiv.2401.04851", "doi": "10.48550/arxiv.2401.04851", "title": "Graph Learning-based Fleet Scheduling for Urban Air Mobility under Operational Constraints, Varying Demand & Uncertainties", "year": 2024, "authors": [ "Steve M. Paul", "Jhoel Witter", "Souma Chowdhury" ], "first_author": "Steve M. Paul", "venue": "arXiv (Cornell University)", "volume": null, "pages": null, "type": "preprint", "language": "en", "abstract": "This paper develops a graph reinforcement learning approach to online planning of the schedule and destinations of electric aircraft that comprise an urban air mobility (UAM) fleet operating across multiple vertiports. This fleet scheduling problem is formulated to consider time-varying demand, constraints related to vertiport capacity, aircraft capacity and airspace safety guidelines, uncertainties related to take-off delay, weather-induced route closures, and unanticipated aircraft downtime. Collectively, such a formulation presents greater complexity, and potentially increased realism, than in existing UAM fleet planning implementations. To address these complexities, a new policy architecture is constructed, primary components of which include: graph capsule conv-nets for encoding vertiport and aircraft-fleet states both abstracted as graphs; transformer layers encoding time series information on demand and passenger fare; and a Multi-head Attention-based decoder that uses the encoded information to compute the probability of selecting each available destination for an aircraft. Trained with Proximal Policy Optimization, this policy architecture shows significantly better performance in terms of daily averaged profits on unseen test scenarios involving 8 vertiports and 40 aircraft, when compared to a random baseline and genetic algorithm-derived optimal solutions, while being nearly 1000 times faster in execution than the latter.", "keywords": [ "Computer science", "Downtime", "Scheduling (production processes)", "Polling", "Schedule", "Reinforcement learning", "Takeoff", "Graph", "Implementation", "Operations research", "Mathematical optimization", "Engineering" ], "cited_by_openalex": 0, "cited_by_scopus": 0, "eid": null, "pii": null, "open_access_url": "https://arxiv.org/pdf/2401.04851", "sources": [ { "db": "openalex", "stream": "UAV", "query_id": "UAV-3" } ], "streams": [ "UAV" ], "relevance_signals": [ "UAV_NO_CTX" ], "auto_exclude_reason": "EC-4-topic", "screening_status": "auto_excluded", "screened_by": "auto-v1.0.0" }, { "id": "doi:10.48550/arxiv.2407.12113", "doi": "10.48550/arxiv.2407.12113", "title": "A Graph-based Adversarial Imitation Learning Framework for Reliable & Realtime Fleet Scheduling in Urban Air Mobility", "year": 2024, "authors": [ "Prithvi Poddar", "Steve M. Paul", "Souma Chowdhury" ], "first_author": "Prithvi Poddar", "venue": "arXiv (Cornell University)", "volume": null, "pages": null, "type": "preprint", "language": "en", "abstract": "The advent of Urban Air Mobility (UAM) presents the scope for a transformative shift in the domain of urban transportation. However, its widespread adoption and economic viability depends in part on the ability to optimally schedule the fleet of aircraft across vertiports in a UAM network, under uncertainties attributed to airspace congestion, changing weather conditions, and varying demands. This paper presents a comprehensive optimization formulation of the fleet scheduling problem, while also identifying the need for alternate solution approaches, since directly solving the resulting integer nonlinear programming problem is computationally prohibitive for daily fleet scheduling. Previous work has shown the effectiveness of using (graph) reinforcement learning (RL) approaches to train real-time executable policy models for fleet scheduling. However, such policies can often be brittle on out-of-distribution scenarios or edge cases. Moreover, training performance also deteriorates as the complexity (e.g., number of constraints) of the problem increases. To address these issues, this paper presents an imitation learning approach where the RL-based policy exploits expert demonstrations yielded by solving the exact optimization using a Genetic Algorithm. The policy model comprises Graph Neural Network (GNN) based encoders that embed the space of vertiports and aircraft, Transformer networks to encode demand, passenger fare, and transport cost profiles, and a Multi-head attention (MHA) based decoder. Expert demonstrations are used through the Generative Adversarial Imitation Learning (GAIL) algorithm. Interfaced with a UAM simulation environment involving 8 vertiports and 40 aircrafts, in terms of the daily profits earned reward, the new imitative approach achieves better mean performance and remarkable improvement in the case of unseen worst-case scenarios, compared to pure RL results.", "keywords": [ "Adversarial system", "Computer science", "Scheduling (production processes)", "Imitation", "Graph", "Artificial intelligence", "Operations research", "Mathematical optimization", "Theoretical computer science", "Engineering", "Psychology", "Mathematics" ], "cited_by_openalex": 0, "cited_by_scopus": 0, "eid": null, "pii": null, "open_access_url": "https://arxiv.org/pdf/2407.12113", "sources": [ { "db": "openalex", "stream": "UAV", "query_id": "UAV-3" } ], "streams": [ "UAV" ], "relevance_signals": [ "UAV" ], "auto_exclude_reason": null, "screening_status": "pending_human_screening", "screened_by": "auto-v1.0.0" }, { "id": "doi:10.2514/6.2024-4499", "doi": "10.2514/6.2024-4499", "title": "Planning of Safe Trajectories in Urban Airspace", "year": 2024, "authors": [ "Samuel Layer-Reiss", "Johanna Kunz", "Matthias Bittner", "Florian Holzapfel" ], "first_author": "Samuel Layer-Reiss", "venue": "AIAA Aviation Forum and Ascend 2024", "volume": null, "pages": null, "type": "conference-paper", "language": "en", "abstract": "The envisioned concept of Urban-Air-Mobility (UAM) introduces new challenges for the generation of safe trajectories. A safe trajectory must ensure that in the event of a contingency, a vertiport to conduct a safety landing is always within reach. Moreover, the trajectory must avoid any no-fly zones. Computing optimal trajectories that fulfill both requirements is particularly complicated for densely populated areas where numerous no-fly zones and vertiports exist, because the resulting optimal control problem involves both continuous and discrete variables. As a consequence, the problem cannot be optimized efficiently using collocation- or shooting-based methods. Instead, we propose a linear mixed-integer-based formulation of the problem which can be solved using Mixed-Integer Linear Programming (MILP) solvers. Our approach considers electric Vertical Take-Off and Landing aircraft (eVTOL) which can transition between vertical and wingborne flight. The capabilities of the approach are demonstrated with a two-dimensional example.", "keywords": [ "Aeronautics", "Computer science", "Environmental science", "Aerospace engineering", "Engineering" ], "cited_by_openalex": 0, "cited_by_scopus": "0", "eid": "2-s2.0-85204215373", "pii": null, "open_access_url": "https://doi.org/10.2514/6.2024-4499", "sources": [ { "db": "openalex", "stream": "UAV", "query_id": "UAV-3" }, { "db": "scopus", "stream": "UAV", "query_id": "UAV-3" } ], "streams": [ "UAV" ], "relevance_signals": [ "UAV_NO_CTX" ], "auto_exclude_reason": "EC-4-topic", "screening_status": "auto_excluded", "screened_by": "auto-v1.0.0" }, { "id": "title:proceedings of dlr s 4th urban air mobility symposium", "doi": null, "title": "Proceedings of DLR's 4th Urban Air Mobility Symposium", "year": 2024, "authors": [ "Hagag, Nabil", "Selvam, Praveen Kumar", "Schuchardt, Bianca Isabella" ], "first_author": "Hagag, Nabil", "venue": "elib (German Aerospace Center)", "volume": null, "pages": null, "type": "other", "language": "en", "abstract": "How can air mobility concepts be extended to smart inter-modal systems? How to take the next steps towards the safe introduction of air taxis and the necessary infrastructure in urban and regional areas? How to develop, construct and validate emerging new vertiport concepts? Join the discussion and come to DLR Braunschweig for the fourth symposium on urban and innovative air mobility!", "keywords": [ "Taxis", "Construct (python library)", "Air transport", "Air pollution", "Air travel" ], "cited_by_openalex": 0, "cited_by_scopus": 0, "eid": null, "pii": null, "open_access_url": "https://elib.dlr.de/209828/1/4th_UAM_Symposium%20Proceedings_2024_final.pdf", "sources": [ { "db": "openalex", "stream": "UAV", "query_id": "UAV-3" } ], "streams": [ "UAV" ], "relevance_signals": [ "UAV_NO_CTX" ], "auto_exclude_reason": "EC-4-topic", "screening_status": "auto_excluded", "screened_by": "auto-v1.0.0" }, { "id": "doi:10.20944/preprints202408.0887.v1", "doi": "10.20944/preprints202408.0887.v1", "title": "Unmanned High-Speed Aerial Vehicles in Medical Logistics: A Comprehensive Comparative Analysis of Blood Sample Transportation with Weather Variability", "year": 2024, "authors": [ "Noel Rouven Stierlin", "Fabian Loertscher", "Martin Risch", "Lorenz Risch" ], "first_author": "Noel Rouven Stierlin", "venue": "Preprints.org", "volume": null, "pages": null, "type": "preprint", "language": "en", "abstract": "Background: The integration of unmanned aerial vehicles (UAVs), commonly known as drones, into medical logistics offers transformative potential for the transpor-tation of sensitive medical materials, such as blood samples. Traditional car transportation is often hindered by traffic delays, road conditions, and geographic barriers, which can compromise timely delivery. Methods: This study provides a comprehensive analysis comparing high-speed drone transportation with traditional car transportation under various weather conditions. Blood samples, including EDTA whole blood, Serum, Li-Heparin Plasma, and citrate plasma tubes, were transported via both methods across temperatures ranging from 4 to 20 degrees Celsius. The integrity of the samples was assessed using a wide array of analytes and statistical analyses, including Passing-Bablok regression and Bland-Altman plots. Results: The results demonstrated that drone transportation maintains blood sample integrity comparably to traditional car transpor-tation. For serum samples, the correlation coefficients (r) ranged from 0.830 to 1.000, and the slopes varied from 0.913 to 1.111, with minor discrepancies in five analytes (total bilirubin, calcium, ferritin, potassium, and sodium). Similar patterns were observed for EDTA, Lithium-Heparin, and Citrate samples, indicating no significant differences between transportation methods. Conclusions: These findings highlight the potential of drones to enhance the efficiency and reliability of medical sample transport, particularly in scenarios requiring rapid and reliable delivery. Drones could significantly improve logistical operations in healthcare by overcoming traditional transportation challenges.", "keywords": [ "Drone", "Sample (material)", "Environmental science", "Reliability (semiconductor)", "Computer science", "Transport engineering", "Chemistry", "Engineering", "Chromatography", "Physics" ], "cited_by_openalex": 0, "cited_by_scopus": 0, "eid": null, "pii": null, "open_access_url": "https://www.preprints.org/frontend/manuscript/295ab6b1a52c386a29ba95af07a945ea/download_pub", "sources": [ { "db": "openalex", "stream": "UAV", "query_id": "UAV-3" } ], "streams": [ "UAV" ], "relevance_signals": [ "UAV_NO_CTX" ], "auto_exclude_reason": "EC-4-topic", "screening_status": "auto_excluded", "screened_by": "auto-v1.0.0" }, { "id": "doi:10.2139/ssrn.5056496", "doi": "10.2139/ssrn.5056496", "title": "Sustainable Urban Aviation: The Role of Air Taxis in Reducing Emissions and Enhancing Mobility", "year": 2024, "authors": [ "Arthur Dela Peña" ], "first_author": "Arthur Dela Peña", "venue": "SSRN Electronic Journal", "volume": null, "pages": null, "type": "preprint", "language": "en", "abstract": null, "keywords": [ "Taxis", "Aviation", "Business", "Transport engineering", "Environmental science", "Engineering", "Aerospace engineering" ], "cited_by_openalex": 0, "cited_by_scopus": 0, "eid": null, "pii": null, "open_access_url": "https://doi.org/10.2139/ssrn.5056496", "sources": [ { "db": "openalex", "stream": "UAV", "query_id": "UAV-3" } ], "streams": [ "UAV" ], "relevance_signals": [ "NO_TECHNOLOGY_MATCH" ], "auto_exclude_reason": "EC-4-topic", "screening_status": "auto_excluded", "screened_by": "auto-v1.0.0" }, { "id": "doi:10.4050/f-0080-2024-1134", "doi": "10.4050/f-0080-2024-1134", "title": "Adoption Of Virtual Twin Technologies For eVTOL Manufacturers, Infrastructure Providers, And Operators", "year": 2024, "authors": [ "Roberto Licata" ], "first_author": "Roberto Licata", "venue": null, "volume": null, "pages": null, "type": "conference-paper", "language": "en", "abstract": "Developing and operating an advanced air mobility service is challenging in many ways. The technical complexity of the task, the lack of available supporting infrastructure, the regulatory environment, and the necessity of collaboration among all stakeholders are barriers to a wide-spread implementation. Digital tools are now available to the whole industry to tackle those challenges, one of them being the virtual twin experience technology. The virtual twin experience is generated by the digital twin technology applied to a certain domain of application. It is a system of systems designed to provide users with a unique and immersive experience of reality, without physically being present in the real-world environment. It offers capabilities that go beyond traditional means, enabling organizations and users to achieve tasks and insights that were previously not possible. This paper describes how the virtual twin experience is adopted within the advanced air mobility ecosystem, that is comprised of the aircraft manufacturer, the vertiport provider and the operator. It reviews the different business processes on electric vertical take-off and landing (eVTOL) vehicle design and manufacturing, vertiport design, and operations, and highlights the associated benefits of such approach. Through these processes, we will see how the virtual twin experiences shape the future of product design, manufacturing, and operations. It changes the way in which stakeholders collaborate in a complex system of systems context. The paper concludes on the ways that the virtual twin experience provides organizations enhanced visualization and understanding, expanded trade-space exploration, and improved decision-making, and how it enables innovators and enterprises alike with greater visibility, efficiency, flexibility, and compliance.", "keywords": [ "Computer science", "Business", "Process management" ], "cited_by_openalex": 0, "cited_by_scopus": 0, "eid": null, "pii": null, "open_access_url": "https://doi.org/10.4050/F-0080-2024-1134", "sources": [ { "db": "openalex", "stream": "UAV", "query_id": "UAV-3" } ], "streams": [ "UAV" ], "relevance_signals": [ "UAV_NO_CTX" ], "auto_exclude_reason": "EC-4-topic", "screening_status": "auto_excluded", "screened_by": "auto-v1.0.0" }, { "id": "doi:10.5194/isprs-annals-x-4-w4-2024-177-2024", "doi": "10.5194/isprs-annals-x-4-w4-2024-177-2024", "title": "Institutional and spatial constraints on locating VoloPorts in Greek metropolitan areas", "year": 2024, "authors": [ "Dionysia Georgia Perperidou", "Eleni Balta" ], "first_author": "Dionysia Georgia Perperidou", "venue": "ISPRS annals of the photogrammetry, remote sensing and spatial information sciences", "volume": null, "pages": null, "type": "article", "language": "en", "abstract": "Abstract. Recent technological developments in aviation, such as vertical take-off and landing and electric engines, are bringing the development of integrated urban air transport systems closer and are generally helping to promote the concept of Urban Air Mobility (UAM). UAM makes it possible to provide integrated air transport services for people and goods in urban areas, reducing travel time initially and leading to cost reductions in the future. The development of UAM will allow urban airspace to be used for short and medium range operations, potentially connecting larger urban areas or neighbouring cities. However, the operation of UAM requires, on the one hand, the development of appropriate urban infrastructure to provide full and vertical support for aircraft, such as vertical landing and take-off areas, specially designed intermediate areas for embarkation and disembarkation of passengers and cargo, as well as areas with operational technical bases for loading, parking and maintenance of aircraft. All this is the concept of the VertiPorts/Voloports/Vertistops. However, the development of a VertiPorts/Voloports/ Vertistops in the dense and complex modern urban environment can be challenging, as on the one hand specific rules for aviation safety have to be followed, and on the other hand their integration into the urban environment requires compliance with the rules of urban planning, land use and protection of private property.This paper presents the challenges that researchers have to face in order to integrate Voloports into an already formed and dense urban environment, such as that of the city Athens, the metropolitan centre and capital of Greece, in respect to various constitutional, institutional and spatial restrictions.", "keywords": [ "Metropolitan area", "Geography", "Regional science", "Economic geography", "Archaeology" ], "cited_by_openalex": 0, "cited_by_scopus": 0, "eid": null, "pii": null, "open_access_url": "http://dx.doi.org/10.5194/isprs-annals-x-4-w4-2024-177-2024", "sources": [ { "db": "openalex", "stream": "UAV", "query_id": "UAV-3" } ], "streams": [ "UAV" ], "relevance_signals": [ "UAV_NO_CTX" ], "auto_exclude_reason": "EC-4-topic", "screening_status": "auto_excluded", "screened_by": "auto-v1.0.0" }, { "id": "doi:10.2139/ssrn.4960705", "doi": "10.2139/ssrn.4960705", "title": "A Research Approach for Integrating Advanced Air Mobility into Transportation Planning", "year": 2024, "authors": [ "Mahdi Monemi Nodehi", "Mohammed Almasabi", "Sasan Mahmoudinazlou", "Joseph A. Post", "Yantong Dou", "Yu Zhang" ], "first_author": "Mahdi Monemi Nodehi", "venue": "SSRN Electronic Journal", "volume": null, "pages": null, "type": "preprint", "language": "en", "abstract": null, "keywords": [ "Transportation planning", "Transport engineering", "Environmental planning", "Computer science", "Business", "Environmental science", "Engineering" ], "cited_by_openalex": 0, "cited_by_scopus": 0, "eid": null, "pii": null, "open_access_url": "http://dx.doi.org/10.2139/ssrn.4960705", "sources": [ { "db": "openalex", "stream": "UAV", "query_id": "UAV-3" } ], "streams": [ "UAV" ], "relevance_signals": [ "NO_TECHNOLOGY_MATCH" ], "auto_exclude_reason": "EC-4-topic", "screening_status": "auto_excluded", "screened_by": "auto-v1.0.0" }, { "id": "doi:10.1007/978-981-97-3651-5_4", "doi": "10.1007/978-981-97-3651-5_4", "title": "Design and Structural Analysis of Quadcopter for Medicine Package Delivery", "year": 2024, "authors": [ "Suchit", "N. G. Vivek", "B. S. Nithyananda", "G. V. Naveen Prakash" ], "first_author": "Suchit", "venue": "Lecture notes in mechanical engineering", "volume": "191", "pages": "41-50", "type": "conference-paper", "language": "en", "abstract": null, "keywords": [ "Quadcopter", "Computer science", "Engineering", "Aerospace engineering" ], "cited_by_openalex": 0, "cited_by_scopus": "0", "eid": "2-s2.0-85206220295", "pii": null, "open_access_url": "https://doi.org/10.1007/978-981-97-3651-5_4", "sources": [ { "db": "openalex", "stream": "UAV", "query_id": "UAV-3" }, { "db": "scopus", "stream": "UAV", "query_id": "UAV-3" } ], "streams": [ "UAV" ], "relevance_signals": [ "NO_TECHNOLOGY_MATCH" ], "auto_exclude_reason": "EC-4-topic", "screening_status": "auto_excluded", "screened_by": "auto-v1.0.0" }, { "id": "doi:10.5281/zenodo.18844943", "doi": "10.5281/zenodo.18844943", "title": "Beyond Takeoff: Policy Strategies to Build the Infrastructure Future for Advanced Air Mobility", "year": 2024, "authors": [ "Dominic Mathew" ], "first_author": "Dominic Mathew", "venue": "Zenodo (CERN European Organization for Nuclear Research)", "volume": null, "pages": null, "type": "report", "language": "en", "abstract": "The future of aviation is taking off—literally. SAFE’s Coalition for Reimagined Mobility (ReMo) has released its latest report, “Beyond Takeoff: Policy Strategies to Build the Infrastructure Future for Advanced Air Mobility,“ offers strategies for policymakers to help drive the development of an interoperable and accessible Advanced Air Mobility (AAM) ecosystem. With a projected global market value of $500 billion by 2040 and the potential to create hundreds of thousands of skilled jobs, AAM has the power to transform transportation. However, without strategic public infrastructure investments, regulatory coordination, and flexible and enduring funding mechanisms, AAM risks being dominated by private interests, limiting competition and innovation. The report outlines three key policy recommendations to ensure the successful development and integration of AAM infrastructure: Establishing Use, Ownership, and Access of Finite Real Estate: Local governments, under FAA guidance, should safeguard open access requirements for public vertiports to ensure competitive development. Prioritize Interoperable Digital Infrastructure: Implement standardized, real-time communications frameworks and cybersecurity protocols to integrate AAM with other transportation modes. Initiate Enduring Funding & Investment Mechanisms: The creation of a National AAM Infrastructure Fund, alongside tax incentives and public-private partnerships, is essential to accelerate vertiport development and AAM adoption. This report also highlights the global competition in AAM infrastructure, noting that China’s aggressive state-led investments and regulatory advancements place the U.S. at risk of falling behind. Without a coordinated national strategy, the U.S. could lose its leadership position in this transformative sector. Further, Beyond Takeoff also builds on insights from existing transportation sectors, such as ground mobility and aviation, to provide a framework for the efficient and long-term development of AAM infrastructure. By implementing these policy recommendations, the U.S. can foster an innovative and resilient AAM ecosystem that benefits communities, businesses, and the broader economy.", "keywords": [ "Interoperability", "Competition (biology)", "Aviation", "Investment (military)", "Public policy", "Position (finance)", "Limiting", "Incentive", "Critical infrastructure" ], "cited_by_openalex": 0, "cited_by_scopus": 0, "eid": null, "pii": null, "open_access_url": "https://doi.org/10.5281/zenodo.18844943", "sources": [ { "db": "openalex", "stream": "UAV", "query_id": "UAV-3" } ], "streams": [ "UAV" ], "relevance_signals": [ "UAV_NO_CTX" ], "auto_exclude_reason": "EC-4-topic", "screening_status": "auto_excluded", "screened_by": "auto-v1.0.0" }, { "id": "doi:10.31127/tuje.1428703", "doi": "10.31127/tuje.1428703", "title": "Design of a service for hospital internal transport of urgent pharmaceuticals via drones", "year": 2024, "authors": [ "Alireza Gholami" ], "first_author": "Alireza Gholami", "venue": "Turkish Journal of Engineering", "volume": "8", "pages": "483-497", "type": "article", "language": "en", "abstract": "The movement of medical supplies within a hospital heavily depends on people physically carrying these materials. Traditional methods of transporting medical supplies within hospitals often encounter logistical challenges, particularly in densely populated areas like Yalova Merkez in Yalova Province, Turkey. To address these challenges, this study introduces a drone-based delivery system for urgent pharmaceuticals, specifically designed to enhance logistics efficiency and safety within hospital settings. Through a collaborative approach, we developed and validated this service design at CityHospital, a Virtual/Simulated Hospital utilized for our research simulation. Primary user needs were identified through interviews and visual aids, informing the design of the drone service. Feedback from users underscores its potential to significantly improve healthcare logistics. While this system offers notable advantages in efficiency, precautions against risks such as tampering with delivery containers are essential. Proposed strategies include the use of tamper-evident seals and mechatronic locks. Furthermore, this analysis identifies key information for implementing a digital logistics management system, paving the way for future enhancements.", "keywords": [ "Drone", "Service (business)", "Key (lock)", "Business", "Health care", "Process management", "Engineering management", "Medical emergency", "Operations management", "Computer science", "Computer security", "Medicine" ], "cited_by_openalex": 0, "cited_by_scopus": "0", "eid": "2-s2.0-85200796427", "pii": null, "open_access_url": "https://dergipark.org.tr/en/download/article-file/3695442", "sources": [ { "db": "openalex", "stream": "UAV", "query_id": "UAV-3" }, { "db": "scopus", "stream": "UAV", "query_id": "UAV-3" } ], "streams": [ "UAV" ], "relevance_signals": [ "UAV_NO_CTX" ], "auto_exclude_reason": "EC-4-topic", "screening_status": "auto_excluded", "screened_by": "auto-v1.0.0" }, { "id": "doi:10.1007/978-3-031-60019-7_4", "doi": "10.1007/978-3-031-60019-7_4", "title": "Conventional Operations and Means Incorporating Bioagents as Partial Effectors", "year": 2024, "authors": [ "Manousos E. Kambouris" ], "first_author": "Manousos E. Kambouris", "venue": "Advanced sciences and technologies for security applications", "volume": null, "pages": null, "type": "book-chapter", "language": "en", "abstract": null, "keywords": [ "Computer science" ], "cited_by_openalex": 0, "cited_by_scopus": 0, "eid": null, "pii": null, "open_access_url": "https://doi.org/10.1007/978-3-031-60019-7_4", "sources": [ { "db": "openalex", "stream": "UAV", "query_id": "UAV-3" } ], "streams": [ "UAV" ], "relevance_signals": [ "NO_TECHNOLOGY_MATCH" ], "auto_exclude_reason": "EC-4-topic", "screening_status": "auto_excluded", "screened_by": "auto-v1.0.0" }, { "id": "doi:10.5281/zenodo.18844944", "doi": "10.5281/zenodo.18844944", "title": "Beyond Takeoff: Policy Strategies to Build the Infrastructure Future for Advanced Air Mobility", "year": 2024, "authors": [ "Dominic Mathew" ], "first_author": "Dominic Mathew", "venue": "Zenodo (CERN European Organization for Nuclear Research)", "volume": null, "pages": null, "type": "report", "language": "en", "abstract": "The future of aviation is taking off—literally. SAFE’s Coalition for Reimagined Mobility (ReMo) has released its latest report, “Beyond Takeoff: Policy Strategies to Build the Infrastructure Future for Advanced Air Mobility,“ offers strategies for policymakers to help drive the development of an interoperable and accessible Advanced Air Mobility (AAM) ecosystem. With a projected global market value of $500 billion by 2040 and the potential to create hundreds of thousands of skilled jobs, AAM has the power to transform transportation. However, without strategic public infrastructure investments, regulatory coordination, and flexible and enduring funding mechanisms, AAM risks being dominated by private interests, limiting competition and innovation. The report outlines three key policy recommendations to ensure the successful development and integration of AAM infrastructure: Establishing Use, Ownership, and Access of Finite Real Estate: Local governments, under FAA guidance, should safeguard open access requirements for public vertiports to ensure competitive development. Prioritize Interoperable Digital Infrastructure: Implement standardized, real-time communications frameworks and cybersecurity protocols to integrate AAM with other transportation modes. Initiate Enduring Funding & Investment Mechanisms: The creation of a National AAM Infrastructure Fund, alongside tax incentives and public-private partnerships, is essential to accelerate vertiport development and AAM adoption. This report also highlights the global competition in AAM infrastructure, noting that China’s aggressive state-led investments and regulatory advancements place the U.S. at risk of falling behind. Without a coordinated national strategy, the U.S. could lose its leadership position in this transformative sector. Further, Beyond Takeoff also builds on insights from existing transportation sectors, such as ground mobility and aviation, to provide a framework for the efficient and long-term development of AAM infrastructure. By implementing these policy recommendations, the U.S. can foster an innovative and resilient AAM ecosystem that benefits communities, businesses, and the broader economy.", "keywords": [ "Interoperability", "Competition (biology)", "Aviation", "Investment (military)", "Public policy", "Position (finance)", "Limiting", "Incentive", "Critical infrastructure" ], "cited_by_openalex": 0, "cited_by_scopus": 0, "eid": null, "pii": null, "open_access_url": "https://doi.org/10.5281/zenodo.18844944", "sources": [ { "db": "openalex", "stream": "UAV", "query_id": "UAV-3" } ], "streams": [ "UAV" ], "relevance_signals": [ "UAV_NO_CTX" ], "auto_exclude_reason": "EC-4-topic", "screening_status": "auto_excluded", "screened_by": "auto-v1.0.0" }, { "id": "doi:10.48550/arxiv.2406.14832", "doi": "10.48550/arxiv.2406.14832", "title": "Autonomous Decision Making for Air Taxi Networks", "year": 2024, "authors": [ "Alex Vesel" ], "first_author": "Alex Vesel", "venue": "arXiv (Cornell University)", "volume": null, "pages": null, "type": "preprint", "language": "en", "abstract": "Future urban air mobility systems are expected to be operated by rideshare companies as fleets, which will require fully autonomous air traffic control systems and an order of magnitude increase in airspace capacity. Such a system must not only be safe, but also highly responsive to customer demand. This paper proposes the air traffic network problem (ATNP), which models the optimization problem of future cooperative air taxi networks. We propose a three-phase decision making model that efficiently assigns vehicles to passengers, determines flight levels to reduce collision risk, and resolves aircraft conflicts by selectively applying Monte Carlo tree search. We develop a simulator for the ATNP and show that our approach has increased safety and reduced passenger waiting time compared to greedy and first-dispatch protocols over potential vertiport layouts across the Bay Area and New York City.", "keywords": [ "Computer science", "Business", "Operations research", "Engineering" ], "cited_by_openalex": 0, "cited_by_scopus": 0, "eid": null, "pii": null, "open_access_url": "https://arxiv.org/pdf/2406.14832", "sources": [ { "db": "openalex", "stream": "UAV", "query_id": "UAV-3" } ], "streams": [ "UAV" ], "relevance_signals": [ "UAV_NO_CTX" ], "auto_exclude_reason": "EC-4-topic", "screening_status": "auto_excluded", "screened_by": "auto-v1.0.0" }, { "id": "doi:10.57169/jssa.0010.01.0308", "doi": "10.57169/jssa.0010.01.0308", "title": "Impact of India’s Drone Capabilities on Pakistan", "year": 2024, "authors": [ "Azfar Bilal", "Abdul Samad" ], "first_author": "Azfar Bilal", "venue": "Journal of Security & Strategic Analyses", "volume": null, "pages": null, "type": "article", "language": "en", "abstract": "Drones are changing the face of modern warfare and have emerged as a potent weapon of choice in recent wars, including in Nagorno Karabakh and the ongoing conflicts in Ukraine and Gaza. The success of drones on the battlefield has spurred states to acquire UAVs forintelligence, surveillance, reconnaissance and targeting capabilities. In South Asia, the export of drones to India by extra-regional powers such as the United States and Israel is disturbing the regional military balance. The United States has approved the sale of 31 MQ-9B Reaper drones and missiles to India, while Israel has supplied the Indian military with Heron and Hermes 900 drones. In addition, India’s DRDO has recently invested in building a home-grown industry that can design and assemble drones and indigenously make the components that go into the manufacturing process. In line with this, the Indian government has set the ambitious target of becoming a global drone hub by 2030. This research paper will employ Barry Buzan and Ole Wæver’s Regional Security Complex Theory to understand how India’s development and acquisition of high-tech drone technology contributes to security dilemma for Pakistan and imperils peace and stability in the region.", "keywords": [ "Drone", "Security dilemma", "Dilemma", "Political science", "Battlefield", "Government (linguistics)", "Face (sociological concept)", "Computer security", "International trade", "Business", "Law", "Sociology" ], "cited_by_openalex": 0, "cited_by_scopus": 0, "eid": null, "pii": null, "open_access_url": "http://dx.doi.org/10.57169/jssa.0010.01.0308", "sources": [ { "db": "openalex", "stream": "UAV", "query_id": "UAV-3" } ], "streams": [ "UAV" ], "relevance_signals": [ "UAV_NO_CTX" ], "auto_exclude_reason": "EC-4-topic", "screening_status": "auto_excluded", "screened_by": "auto-v1.0.0" }, { "id": "doi:10.31219/osf.io/3rgjw", "doi": "10.31219/osf.io/3rgjw", "title": "Integrating Flight and Charging Schedules in Urban Air Mobility", "year": 2024, "authors": [ "Shangqing Cao", "Xuan Jiang", "Vishwanath Bulusu", "Anjan Chakrabarty", "Mark M. Hansen", "Emin Burak Onat", "Raja Sengupta", "Bo Zou" ], "first_author": "Shangqing Cao", "venue": null, "volume": null, "pages": null, "type": "preprint", "language": "en", "abstract": "This paper investigates the simultaneous optimization of flight schedule and charging policy of electric vertical takeoff and landing aircraft for Urban Air Mobility operations. An optimization model is developed for a two-vertiport system to design an efficient flight schedule, including re-balancing flights, and a charging policy that serves a given demand with the objective of minimizing the required fleet size. The results highlight that charging aircraft to a lower State of Charge level during peak demand periods and to a higher level during off-peak times effectively reduces the fleet size, due to the non-linearity of battery charging times. The study includes a sensitivity analysis to determine the impact of various demand levels and flight times on the system. The results highlight the interplay between fluctuations in passenger demand and battery charging policies. Future work will integrate infrastructure constraints into the optimization model.", "keywords": [ "Aeronautics", "Computer science", "Environmental science", "Transport engineering", "Engineering" ], "cited_by_openalex": 0, "cited_by_scopus": 0, "eid": null, "pii": null, "open_access_url": "http://dx.doi.org/10.31219/osf.io/3rgjw", "sources": [ { "db": "openalex", "stream": "UAV", "query_id": "UAV-3" } ], "streams": [ "UAV" ], "relevance_signals": [ "UAV_NO_CTX" ], "auto_exclude_reason": "EC-4-topic", "screening_status": "auto_excluded", "screened_by": "auto-v1.0.0" }, { "id": "doi:10.1007/s42405-024-00840-3", "doi": "10.1007/s42405-024-00840-3", "title": "Vision-Based Aircraft Marshalling Recognition and UAM Control Command Generation", "year": 2024, "authors": [ "Jeonghun J. Lee", "Sungwook Cho", "Yeondeuk Jung" ], "first_author": "Jeonghun J. Lee", "venue": "International Journal of Aeronautical and Space Sciences", "volume": null, "pages": null, "type": "article", "language": "en", "abstract": null, "keywords": [ "Marshalling", "Aeronautics", "Engineering", "Control (management)", "Command and control", "Computer science", "Aerospace engineering", "Artificial intelligence", "Operating system" ], "cited_by_openalex": 0, "cited_by_scopus": 0, "eid": null, "pii": null, "open_access_url": "https://doi.org/10.1007/s42405-024-00840-3", "sources": [ { "db": "openalex", "stream": "UAV", "query_id": "UAV-3" } ], "streams": [ "UAV" ], "relevance_signals": [ "NO_TECHNOLOGY_MATCH" ], "auto_exclude_reason": "EC-4-topic", "screening_status": "auto_excluded", "screened_by": "auto-v1.0.0" }, { "id": "doi:10.1007/978-3-658-42647-7_48", "doi": "10.1007/978-3-658-42647-7_48", "title": "Bedarfsanalyse für Flugtaxidienste in Nordrhein-Westfalen", "year": 2024, "authors": [ "Juliane Rösing", "Sebastian Harm" ], "first_author": "Juliane Rösing", "venue": null, "volume": null, "pages": null, "type": "book-chapter", "language": "de", "abstract": null, "keywords": [ "Art" ], "cited_by_openalex": 0, "cited_by_scopus": 0, "eid": null, "pii": null, "open_access_url": "https://doi.org/10.1007/978-3-658-42647-7_48", "sources": [ { "db": "openalex", "stream": "UAV", "query_id": "UAV-3" } ], "streams": [ "UAV" ], "relevance_signals": [ "NO_TECHNOLOGY_MATCH" ], "auto_exclude_reason": "EC-4", "screening_status": "auto_excluded", "screened_by": "auto-v1.0.0" }, { "id": "doi:10.2139/ssrn.4883253", "doi": "10.2139/ssrn.4883253", "title": "Drone Spatial Route Optimization – a Systematic Review", "year": 2024, "authors": [ "M. B. Sushma", "Bardia Mashhoodi", "Wendy Tan" ], "first_author": "M. B. Sushma", "venue": "SSRN Electronic Journal", "volume": null, "pages": null, "type": "preprint", "language": "en", "abstract": null, "keywords": [ "Drone", "Computer science", "Biology" ], "cited_by_openalex": 0, "cited_by_scopus": 0, "eid": null, "pii": null, "open_access_url": "http://dx.doi.org/10.2139/ssrn.4883253", "sources": [ { "db": "openalex", "stream": "UAV", "query_id": "UAV-3" } ], "streams": [ "UAV" ], "relevance_signals": [ "UAV_NO_CTX" ], "auto_exclude_reason": "EC-4-topic", "screening_status": "auto_excluded", "screened_by": "auto-v1.0.0" }, { "id": "doi:10.2514/6.2024-4518", "doi": "10.2514/6.2024-4518", "title": "A Novel Energy Dissipator; With Bespoke Geometry Enabled by Additive Manufacturing", "year": 2024, "authors": [ "Andrew Lloyd", "KC Wong" ], "first_author": "Andrew Lloyd", "venue": "AIAA Aviation Forum and Ascend 2024", "volume": null, "pages": null, "type": "conference-paper", "language": "en", "abstract": "Throughout Aerial Delivery history, there has been a need to deal with energy on (or just prior to) impact with the ground. The enduring solution for energy absorption is a cardboard honeycomb Energy Dissipating Material (EDM). EDM is logistically inefficient, has a high initial peak load, and then a constant dynamic crush stress prior to densification. This work investigates a novel method for dissipating energy in airdrop. Rather than extruding a uniform shape in the direction of crush, an additively manufactured energy dissipator has been tuned to increase the duration of crush over an equivalent stroke. The geometry used has been unavailable until the widespread adoption of low-cost additive manufacturing. This approach has the potential to improve performance and increase supply chain resilience of cargo airdrop.", "keywords": [ "Bespoke", "Computer science", "Mechanical engineering", "Energy (signal processing)", "Geometry", "Engineering", "Physics", "Mathematics", "Business" ], "cited_by_openalex": 0, "cited_by_scopus": "0", "eid": "2-s2.0-85203667087", "pii": null, "open_access_url": "https://doi.org/10.2514/6.2024-4518", "sources": [ { "db": "openalex", "stream": "UAV", "query_id": "UAV-3" }, { "db": "scopus", "stream": "UAV", "query_id": "UAV-3" } ], "streams": [ "UAV" ], "relevance_signals": [ "UAV_NO_CTX" ], "auto_exclude_reason": "EC-4-topic", "screening_status": "auto_excluded", "screened_by": "auto-v1.0.0" }, { "id": "doi:10.4050/f-0080-2024-1142", "doi": "10.4050/f-0080-2024-1142", "title": "Applying and Testing the ASTM F3673 - 23 Weather Standard Specification for Enhanced Safety and Efficiency in eVTOL and Helicopter Operations", "year": 2024, "authors": [ "Don Berchoff", "Clint Harper", "Chris Zarzar" ], "first_author": "Don Berchoff", "venue": null, "volume": null, "pages": null, "type": "conference-paper", "language": "en", "abstract": "This article addresses the critical need for enhanced weather observation and prediction systems for rotary-wing aircraft. Current weather systems lack granularity in low-altitude airspace, posing safety risks. The application of the ASTM F3673 - 23 Weather Standard Specification is proposed to standardize weather data collection and transition towards a weather sensor performance-based approach rather than instrument certifications, facilitating the deployment of advanced weather sensors. Today, heliports have a binary weather measurement system choice, expensive certified surface weather stations or a windsock. The standard has the potential to change this paradigm, by allowing the deployment of cost-effective digital sensor technology to reduce uncertainty about what is happening at a heliport or vertiport/vertiplex destination. Operationalizing this specification requires rigorous testing and collaboration through public-private partnerships. Bridging the weather educational gap is essential for enhancing safety in low-altitude aviation. Additionally, the integration of Digital Flight Rules (DFR) alongside the ASTM F3673 - 23 Weather Standard presents opportunities for modernizing air traffic management.", "keywords": [ "Reliability engineering", "Computer science", "Automotive engineering", "Engineering" ], "cited_by_openalex": 0, "cited_by_scopus": 0, "eid": null, "pii": null, "open_access_url": "https://doi.org/10.4050/F-0080-2024-1142", "sources": [ { "db": "openalex", "stream": "UAV", "query_id": "UAV-3" } ], "streams": [ "UAV" ], "relevance_signals": [ "UAV_NO_CTX" ], "auto_exclude_reason": "EC-4-topic", "screening_status": "auto_excluded", "screened_by": "auto-v1.0.0" }, { "id": "doi:10.31410/eman.2024.589", "doi": "10.31410/eman.2024.589", "title": "Prototype Proposal for Urban Air Mobility in the Albanian Air Space", "year": 2024, "authors": [ "Kreshnik Vukatana", "Marius Baci" ], "first_author": "Kreshnik Vukatana", "venue": "International Scientific Conference EMAN. Economics & Management: How to Cope With Disrupted Times", "volume": null, "pages": null, "type": "conference-paper", "language": "en", "abstract": "Urban Air Mobility (UAM) is a modern solution to urban transportation challenges, offering a promising alternative to traditional modes of travel. This paper investigates the state of the art of this alternative solution and a system prototype proposal in the context of Albania. Several challenges such as vortex wake & jet blast phenomena, wind risk, obstacles, and regulatory legislation are addressed through an analysis. The idea behind this proposal is to innovate traveling in Albania through UAM using special air taxis. In the proposal is suggested to establish two vertiports at Tirana airport and one in the city, which will serve as key hubs for air taxi operations. From an economic perspective, the introduction of UAM can stimulate economic growth by attracting tourism, generating employment opportunities, and new opportunities for local businesses. Moreover, UAM has the potential to alleviate traffic congestion and reduce carbon emissions, contributing to a more sustainable urban environment. By ensuring a good implementation, it can enhance the overall quality of life for residents and visitors alike.", "keywords": [ "Computer science", "Space (punctuation)", "Urban space", "Environmental science", "Environmental planning", "Operating system" ], "cited_by_openalex": 0, "cited_by_scopus": 0, "eid": null, "pii": null, "open_access_url": "https://doi.org/10.31410/eman.2024.589", "sources": [ { "db": "openalex", "stream": "UAV", "query_id": "UAV-3" } ], "streams": [ "UAV" ], "relevance_signals": [ "UAV" ], "auto_exclude_reason": null, "screening_status": "pending_human_screening", "screened_by": "auto-v1.0.0" }, { "id": "doi:10.48550/arxiv.2411.14403", "doi": "10.48550/arxiv.2411.14403", "title": "Landing Trajectory Prediction for UAS Based on Generative Adversarial Network", "year": 2024, "authors": [ "Jun Xiang", "Drake Essick", "Luiz Gonzalez Bautista", "Junfei Xie", "Jun Chen" ], "first_author": "Jun Xiang", "venue": "arXiv (Cornell University)", "volume": null, "pages": null, "type": "preprint", "language": "en", "abstract": "Models for trajectory prediction are an essential component of many advanced air mobility studies. These models help aircraft detect conflict and plan avoidance maneuvers, which is especially important in Unmanned Aircraft systems (UAS) landing management due to the congested airspace near vertiports. In this paper, we propose a landing trajectory prediction model for UAS based on Generative Adversarial Network (GAN). The GAN is a prestigious neural network that has been developed for many years. In previous research, GAN has achieved many state-of-the-art results in many generation tasks. The GAN consists of one neural network generator and a neural network discriminator. Because of the learning capacity of the neural networks, the generator is capable to understand the features of the sample trajectory. The generator takes the previous trajectory as input and outputs some random status of a flight. According to the results of the experiences, the proposed model can output more accurate predictions than the baseline method(GMR) in various datasets. To evaluate the proposed model, we also create a real UAV landing dataset that includes more than 2600 trajectories of drone control manually by real pilots.", "keywords": [ "Adversarial system", "Trajectory", "Generative grammar", "Computer science", "Generative adversarial network", "Artificial intelligence", "Deep learning", "Physics" ], "cited_by_openalex": 0, "cited_by_scopus": 0, "eid": null, "pii": null, "open_access_url": "https://arxiv.org/pdf/2411.14403", "sources": [ { "db": "openalex", "stream": "UAV", "query_id": "UAV-3" } ], "streams": [ "UAV" ], "relevance_signals": [ "UAV_NO_CTX" ], "auto_exclude_reason": "EC-4-topic", "screening_status": "auto_excluded", "screened_by": "auto-v1.0.0" }, { "id": "doi:10.2514/6.2024-3785", "doi": "10.2514/6.2024-3785", "title": "Determining Predicted Trajectory Accuracy Requirements for Advanced Air Mobility Operations", "year": 2024, "authors": [ "Brock J. Lascara", "Lesley A. Weitz" ], "first_author": "Brock J. Lascara", "venue": null, "volume": null, "pages": null, "type": "conference-paper", "language": "en", "abstract": "The Federal Aviation Administration (FAA) has published its vision for an Information-Centric National Airspace System (NAS) (or Info-Centric NAS), which builds on the foundation provided by Trajectory-Based Operations. The “Info-Centric NAS” describes a future air traffic system that further improves the efficiency and predictability of NAS operations via information sharing between all elements in the system and integrates traditional NAS operations with new entrants such Advanced Air Mobility (AAM) aircraft with use cases including Urban Air Mobility (UAM). This paper describes an approach to derive predicted trajectory accuracy requirements for AAM operations to ensure feasible schedule times between origin and destination vertiports. The derivation approach assumes schedule times can be met within a desired tolerance to support operational objectives and can be met using speed changes alone. Path lengthening maneuvers were also studied due to AAM aircraft having limited ability to change their flight times using speed alone. Numerical results show how predicted trajectory accuracy requirements change with operational assumptions.", "keywords": [ "Trajectory", "Computer science" ], "cited_by_openalex": 0, "cited_by_scopus": 0, "eid": null, "pii": null, "open_access_url": "https://doi.org/10.2514/6.2024-3785", "sources": [ { "db": "openalex", "stream": "UAV", "query_id": "UAV-3" } ], "streams": [ "UAV" ], "relevance_signals": [ "UAV_NO_CTX" ], "auto_exclude_reason": "EC-4-topic", "screening_status": "auto_excluded", "screened_by": "auto-v1.0.0" }, { "id": "doi:10.2514/6.2024-4515", "doi": "10.2514/6.2024-4515", "title": "Design, Test and Simulation of the Joint Light Tactical Vehicle (JLTV) Gravity Airdrop System (GADS)", "year": 2024, "authors": [ "Usbaldo Fraire" ], "first_author": "Usbaldo Fraire", "venue": "AIAA Aviation Forum and Ascend 2024", "volume": null, "pages": null, "type": "conference-paper", "language": "en", "abstract": "The US Army Combat Capabilities Development Command Soldier Center (DEVCOM-SC) Aerial Delivery Division (ADD) is engineering the airdrop capabilities needed to expand C-17 aircraft capacity to deliver the Joint Light Tactical Vehicle (JLTV) to the Soldier to ensure war-winning future readiness. To deliver the JLTV, a new Gravity Airdrop System (GADS) was designed, and a series of ground and flight tests were completed to demonstrate the new capability. A rapid prototype was developed and applied to simulate GADS release sequences using the Airdrop Technology Multi-Operational Simulation (ATMOS) capability. The primary objectives for ATMOS were to evaluate payload collision risks during sequential airdrops, optimize payload spacing and identify unfavorable aircraft loading configurations. The focus of this paper is on the preflight predictions that were delivered to support this effort prior to test execution and how the Modeling and Simulation (M&S) portfolio is expanding to help simulate future airdrop systems and support deliver the Army of 2030.", "keywords": [ "Joint (building)", "Computer science", "Automotive engineering", "Test (biology)", "Aerospace engineering", "Simulation", "Engineering", "Geology", "Structural engineering" ], "cited_by_openalex": 0, "cited_by_scopus": "0", "eid": "2-s2.0-85204247325", "pii": null, "open_access_url": "https://doi.org/10.2514/6.2024-4515", "sources": [ { "db": "openalex", "stream": "UAV", "query_id": "UAV-3" }, { "db": "scopus", "stream": "UAV", "query_id": "UAV-3" } ], "streams": [ "UAV" ], "relevance_signals": [ "UAV_NO_CTX" ], "auto_exclude_reason": "EC-4-topic", "screening_status": "auto_excluded", "screened_by": "auto-v1.0.0" }, { "id": "doi:10.2139/ssrn.5072017", "doi": "10.2139/ssrn.5072017", "title": "Urban Air Mobility Fleet Management Under Uncertainty: A Deep Reinforcement Learning Approach", "year": 2024, "authors": [ "Emin Burak Onat", "Albert Cao", "Raja Sengupta", "Mark M. Hansen" ], "first_author": "Emin Burak Onat", "venue": "SSRN Electronic Journal", "volume": null, "pages": null, "type": "preprint", "language": "en", "abstract": null, "keywords": [ "Reinforcement learning", "Reinforcement", "Fleet management", "Computer science", "Environmental science", "Aeronautics", "Transport engineering", "Artificial intelligence", "Engineering", "Structural engineering" ], "cited_by_openalex": 0, "cited_by_scopus": 0, "eid": null, "pii": null, "open_access_url": "https://doi.org/10.2139/ssrn.5072017", "sources": [ { "db": "openalex", "stream": "UAV", "query_id": "UAV-3" } ], "streams": [ "UAV" ], "relevance_signals": [ "NO_TECHNOLOGY_MATCH" ], "auto_exclude_reason": "EC-4-topic", "screening_status": "auto_excluded", "screened_by": "auto-v1.0.0" }, { "id": "doi:10.1007/978-981-97-3998-1_94", "doi": "10.1007/978-981-97-3998-1_94", "title": "Investigation on the Folding Method and Inflation Process of Ram Air Parachute", "year": 2024, "authors": [ "Jinhong Li", "Liu Qi", "Zhang Hong Hui", "Yuling Duan", "Gang Yu" ], "first_author": "Jinhong Li", "venue": "Lecture notes in electrical engineering", "volume": "1050 LNEE", "pages": "1193-1201", "type": "conference-paper", "language": "en", "abstract": null, "keywords": [ "Folding (DSP implementation)", "Inflation (cosmology)", "Process (computing)", "Computer science", "Aerospace engineering", "Materials science", "Mechanics", "Aeronautics", "Mechanical engineering", "Engineering", "Physics", "Theoretical physics" ], "cited_by_openalex": 0, "cited_by_scopus": "0", "eid": "2-s2.0-85200256295", "pii": null, "open_access_url": "https://doi.org/10.1007/978-981-97-3998-1_94", "sources": [ { "db": "openalex", "stream": "UAV", "query_id": "UAV-3" }, { "db": "scopus", "stream": "UAV", "query_id": "UAV-3" } ], "streams": [ "UAV" ], "relevance_signals": [ "NO_TECHNOLOGY_MATCH" ], "auto_exclude_reason": "EC-4-topic", "screening_status": "auto_excluded", "screened_by": "auto-v1.0.0" }, { "id": "doi:10.2514/6.2024-4519", "doi": "10.2514/6.2024-4519", "title": "Bleed Air Actuation for a Single Surface Parafoil", "year": 2024, "authors": [ "Donald J. Ward", "Andrea L. Vu", "Mark Costello" ], "first_author": "Donald J. Ward", "venue": "AIAA Aviation Forum and Ascend 2024", "volume": null, "pages": null, "type": "conference-paper", "language": "en", "abstract": "Bleed air actuation using upper surface spoilers is a lightweight, cost-effective control strategy for achieving glide slope modulation in ram air parafoils. The addition of glide slope control to airdrop systems significantly increases the accuracy of terminal guidance strategies and thereby improves the probability of a successful resupply or delivery mission. This work aims to extend the glide slope control capabilities of bleed air spoilers to single surface parafoils. These canopies are lighter weight and lower volume than ram air parafoils of a similar size and offer a more compact, guided aerial delivery solution. However, with significantly differing flow physics from ram-air canopies, single surface parafoils present a novel challenge for the implementation of bleed-air actuators. A 2D CFD model is used to establish a comparison between actuation concepts for control authority and robustness. The bleed-air actuator design problem is abstracted by considering the airdrop concept of operations and the high-level concepts are proposed for each critical function. The most relevant concepts are flight tested in unpowered flight and video footage is used to evaluate opening and sealing behavior. A counter-weighted design is found to fulfill the design requirements of reliable sealing and venting of bleed-air, at the cost of increasing system weight.", "keywords": [ "Bleed", "Computer science", "Business", "Advertising" ], "cited_by_openalex": 0, "cited_by_scopus": "0", "eid": "2-s2.0-85204220808", "pii": null, "open_access_url": "https://doi.org/10.2514/6.2024-4519", "sources": [ { "db": "openalex", "stream": "UAV", "query_id": "UAV-3" }, { "db": "scopus", "stream": "UAV", "query_id": "UAV-3" } ], "streams": [ "UAV" ], "relevance_signals": [ "UAV_NO_CTX" ], "auto_exclude_reason": "EC-4-topic", "screening_status": "auto_excluded", "screened_by": "auto-v1.0.0" }, { "id": "doi:10.2514/6.2024-85629", "doi": "10.2514/6.2024-85629", "title": "Urban Air Mobility (UAM); Implementation & Feasibility", "year": 2024, "authors": [ "Michael Hakim" ], "first_author": "Michael Hakim", "venue": null, "volume": null, "pages": null, "type": "conference-paper", "language": "en", "abstract": "Various factors are involved in the integration of UAM into current modes of transportation, including technical, safety, infrastructure, regulatory, and demand/acceptance aspects. The adjustment of each aspect is of the utmost importance to the successful implementation of UAM. Through thorough analyses of several research papers and literature on the many components of this matter, a comprehensive temporary verdict has been reached. Beginning with on-land infrastructure, the creation of vertiports requiring significant land area provides a more realistic boarding arrangement compared to the previously identified rooftops and helipads. Further into the technical aspect of UAM, creating vehicles that satisfy safety and noise regulations, provide comfort for passengers, and reduce travel time has resulted in the development of various propulsion arrangements and designs. These include a lift-fan design, a tilt-wing design, and a lift-and-cruise design, among a few others. The benefits and drawbacks of each layout are discussed. The operation of these aircraft will need to begin with a pilot before transitioning to full autonomy, which raises the question of how pilots will be trained. Not only this, the necessity of having an airspace capable of managing this air traffic has resulted in the development of U-space. Research on the arrangement of traffic within the U-space has concurred that having a layer organization results in the greatest efficiency and safety. These advancements led to the mandatory creation of simulation methods capable of replicating real-life situations as accurately as possible. An important aspect that is not widely considered is acceptance by the public. This involves the efficiency mentioned above along with safety for those on land and noise levels. Additionally, ease of access, waiting times, and cost impact the demand of the public. Together, the analyses of the numerous facets of UAM show that this mode of transportation may not replace current modes in the next decade or two and may take longer to become the main method used. Applications that are more achievable in the short term are the use of UAM in law enforcement, medical purposes, package delivery, etc. It may also take on a similar role to helicopters for news channels and for commercial purposes.", "keywords": [ "Computer science", "Environmental science" ], "cited_by_openalex": 0, "cited_by_scopus": 0, "eid": null, "pii": null, "open_access_url": "https://arc.aiaa.org/doi/pdf/10.2514/6.2024-85629", "sources": [ { "db": "openalex", "stream": "UAV", "query_id": "UAV-3" } ], "streams": [ "UAV" ], "relevance_signals": [ "UAV" ], "auto_exclude_reason": null, "screening_status": "pending_human_screening", "screened_by": "auto-v1.0.0" }, { "id": "doi:10.5593/sgem2024/4.1/s18.38", "doi": "10.5593/sgem2024/4.1/s18.38", "title": "LOW COST AIRDROP DELIVERY SYSTEM", "year": 2024, "authors": [ "Adrian Săliștean" ], "first_author": "Adrian Săliștean", "venue": "International Multidisciplinary Scientific GeoConference SGEM ...", "volume": "24", "pages": "291-297", "type": "conference-paper", "language": "en", "abstract": "The article describes the design process for a low-cost aerial delivery system (LCADS) that is a one-time use, disposable, airdrop system consisting of cargo parachute and container. The parachute systems is developed for military resupply missions and for humanitarian relief efforts in areas where ground supply and/or recovery of airdrop equipment is difficult or not feasible. LCADS consists primarily of three types of cargo parachutes capable of supporting and delivering in a wide range of weights, from 70kg up to 1000kg. During the product development will be targeted three types of delivery topologies each with its own type of low-cost parachute: 'Low Velocity' delivery where the cargo is slowed down considerably by the parachute down to 5-7m/s for fragile and sensitive equipment using a cross type parachute made of fabric bands; 'High Velocity' delivery where the cargo is only stabilized during descent and only marginally slowed down by the parachute for non-fragile equipment also using a cross type parachute made of fabric bands; 'High Altitude Precision Delivery', where the cargo is driven to a specific target using a self-steering a ram-air parachute. The high velocity and low velocity parachute use the same basic design principles to keep the costs as low as possible. These parachutes are 55% to 80% less expensive than the traditional nylon cargo parachutes due to a much lower cost of material. The parachutes are made from woven polypropylene fabric obtained from recycled source materials. An added benefit for the LCADS, which are made from woven polypropylene fabric, is that these parachutes have shown to have a lower rate of descent than standard nylon cargo parachutes. The result is a higher percentage of loads surviving air drops.", "keywords": [ "Descent (aeronautics)", "Engineering", "Process (computing)", "Container (type theory)", "Aerospace engineering", "Mechanical engineering", "Marine engineering", "Computer science" ], "cited_by_openalex": 0, "cited_by_scopus": "0", "eid": "2-s2.0-85213816017", "pii": null, "open_access_url": "https://doi.org/10.5593/sgem2024/4.1/s18.38", "sources": [ { "db": "openalex", "stream": "UAV", "query_id": "UAV-3" }, { "db": "scopus", "stream": "UAV", "query_id": "UAV-3" } ], "streams": [ "UAV" ], "relevance_signals": [ "UAV_NO_CTX" ], "auto_exclude_reason": "EC-4-topic", "screening_status": "auto_excluded", "screened_by": "auto-v1.0.0" }, { "id": "doi:10.11159/iccste24.004", "doi": "10.11159/iccste24.004", "title": "Sustainable Urban Freight Transport: The Case for E-Cargo Tricycles", "year": 2024, "authors": [ "Roorda M.J." ], "first_author": "Roorda M.J.", "venue": "International Conference on Civil Structural and Transportation Engineering", "volume": null, "pages": null, "type": "Conference Paper", "language": null, "abstract": null, "keywords": [], "cited_by_openalex": 0, "cited_by_scopus": "0", "eid": "2-s2.0-85200323021", "pii": null, "open_access_url": null, "sources": [ { "db": "scopus", "stream": "TRUCK", "query_id": "TRUCK-1" } ], "streams": [ "TRUCK" ], "relevance_signals": [ "NO_TECHNOLOGY_MATCH" ], "auto_exclude_reason": "EC-4-topic", "screening_status": "auto_excluded", "screened_by": "auto-v1.0.0" }, { "id": "title:safety benefits of parcel delivery modes using geographically weighted negative binominal regression", "doi": null, "title": "Safety Benefits of Parcel Delivery Modes Using Geographically Weighted Negative Binominal Regression", "year": 2024, "authors": [ "Wang Z." ], "first_author": "Wang Z.", "venue": "International Conference on Transportation and Development 2024 Transportation Safety and Emerging Technologies Selected Papers from the International Conference on Transportation and Development 2024", "volume": null, "pages": "226-237", "type": "Conference Paper", "language": null, "abstract": null, "keywords": [], "cited_by_openalex": 0, "cited_by_scopus": "0", "eid": "2-s2.0-85197274214", "pii": null, "open_access_url": null, "sources": [ { "db": "scopus", "stream": "TRUCK", "query_id": "TRUCK-1" } ], "streams": [ "TRUCK" ], "relevance_signals": [ "NO_TECHNOLOGY_MATCH" ], "auto_exclude_reason": "EC-4-topic", "screening_status": "auto_excluded", "screened_by": "auto-v1.0.0" }, { "id": "doi:10.1016/j.procs.2024.06.094", "doi": "10.1016/j.procs.2024.06.094", "title": "Trucks Tour Chaining for Electric Demand Estimation", "year": 2024, "authors": [ "Zuniga-Garcia N." ], "first_author": "Zuniga-Garcia N.", "venue": "Procedia Computer Science", "volume": "238", "pages": "797-802", "type": "Conference Paper", "language": null, "abstract": null, "keywords": [], "cited_by_openalex": 0, "cited_by_scopus": "0", "eid": "2-s2.0-85199561191", "pii": 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"auto_exclude_reason": "EC-4-topic", "screening_status": "auto_excluded", "screened_by": "auto-v1.0.0" }, { "id": "title:a comparison of proposed concepts for vertiport markings symbology", "doi": null, "title": "A Comparison of Proposed Concepts for Vertiport Markings & Symbology", "year": 2024, "authors": [ "Johnson C.C." ], "first_author": "Johnson C.C.", "venue": "Vertical Flight Society 80th Annual Forum and Technology Display", "volume": null, "pages": null, "type": "Conference Paper", "language": null, "abstract": null, "keywords": [], "cited_by_openalex": 0, "cited_by_scopus": "0", "eid": "2-s2.0-85196764076", "pii": null, "open_access_url": null, "sources": [ { "db": "scopus", "stream": "UAV", "query_id": "UAV-3" } ], "streams": [ "UAV" ], "relevance_signals": [ "UAV_NO_CTX" ], "auto_exclude_reason": "EC-4-topic", "screening_status": "auto_excluded", "screened_by": "auto-v1.0.0" }, { "id": "title:a design of vfr approach and departure procedures of uam at vertiports adjacent to the airport", "doi": null, "title": "A DESIGN OF VFR APPROACH AND DEPARTURE PROCEDURES OF UAM AT VERTIPORTS ADJACENT TO THE AIRPORT", "year": 2024, "authors": [ "Kim S." ], "first_author": "Kim S.", "venue": "Icas Proceedings", "volume": null, "pages": null, "type": "Conference Paper", "language": null, "abstract": null, "keywords": [], "cited_by_openalex": 0, "cited_by_scopus": "0", "eid": "2-s2.0-85208782935", "pii": null, "open_access_url": null, "sources": [ { "db": "scopus", "stream": "UAV", "query_id": "UAV-3" } ], "streams": [ "UAV" ], "relevance_signals": [ "UAV_NO_CTX" ], "auto_exclude_reason": "EC-4-topic", "screening_status": "auto_excluded", "screened_by": "auto-v1.0.0" }, { "id": "title:2024 international conference on smart digital green technologies and artificial intelligence scienc", "doi": null, "title": "2024 International Conference on Smart-Digital-Green Technologies and Artificial Intelligence Sciences, CSDGAIS 2024", "year": 2024, "authors": [], "first_author": null, "venue": "2024 International Conference on Smart Digital Green Technologies and Artificial Intelligence Sciences Csdgais 2024", "volume": null, "pages": null, "type": "Conference Review", "language": null, "abstract": null, "keywords": [], "cited_by_openalex": 0, "cited_by_scopus": "0", "eid": "2-s2.0-105012103578", "pii": null, "open_access_url": null, "sources": [ { "db": "scopus", "stream": "UAV", "query_id": "UAV-3" } ], "streams": [ "UAV" ], "relevance_signals": [ "NO_TECHNOLOGY_MATCH" ], "auto_exclude_reason": "EC-4-topic", "screening_status": "auto_excluded", "screened_by": "auto-v1.0.0" }, { "id": "title:adoption of virtual twin technologies for evtol manufacturers infrastructure providers and operators", "doi": null, "title": "Adoption Of Virtual Twin Technologies For eVTOL Manufacturers, Infrastructure Providers, And Operators", "year": 2024, "authors": [ "Licata R." ], "first_author": "Licata R.", "venue": "Vertical Flight Society 80th Annual Forum and Technology Display", "volume": null, "pages": null, "type": "Conference Paper", "language": null, "abstract": null, "keywords": [], "cited_by_openalex": 0, "cited_by_scopus": "0", "eid": "2-s2.0-85196714756", "pii": null, "open_access_url": null, "sources": [ { "db": "scopus", "stream": "UAV", "query_id": "UAV-3" } ], "streams": [ "UAV" ], "relevance_signals": [ "NO_TECHNOLOGY_MATCH" ], "auto_exclude_reason": "EC-4-topic", "screening_status": "auto_excluded", "screened_by": "auto-v1.0.0" }, { "id": "title:applying and testing the astm f3673 23 weather standard specification for enhanced safety and effici", "doi": null, "title": "Applying and Testing the ASTM F3673-23 Weather Standard Specification for Enhanced Safety and Efficiency in eVTOL and Helicopter Operations", "year": 2024, "authors": [ "Berchoff D." ], "first_author": "Berchoff D.", "venue": "Vertical Flight Society 80th Annual Forum and Technology Display", "volume": null, "pages": null, "type": "Conference Paper", "language": null, "abstract": null, "keywords": [], "cited_by_openalex": 0, "cited_by_scopus": "0", "eid": "2-s2.0-85196730348", "pii": null, "open_access_url": null, "sources": [ { "db": "scopus", "stream": "UAV", "query_id": "UAV-3" } ], "streams": [ "UAV" ], "relevance_signals": [ "NO_TECHNOLOGY_MATCH" ], "auto_exclude_reason": "EC-4-topic", "screening_status": "auto_excluded", "screened_by": "auto-v1.0.0" }, { "id": "doi:10.1109/tro.2023.3236945", "doi": "10.1109/tro.2023.3236945", "title": "RACER: Rapid Collaborative Exploration With a Decentralized Multi-UAV System", "year": 2023, "authors": [ "Boyu Zhou", "Hao Xu", "Shaojie Shen" ], "first_author": "Boyu Zhou", "venue": "IEEE Transactions on Robotics", "volume": "39", "pages": "1816-1835", "type": "article", "language": "en", "abstract": "Although the use of multiple unmanned aerial vehicles (UAVs) has great potential for fast autonomous exploration, it has received far too little attention. In this article, we present a RApid Collaborative ExploRation (RACER) approach using a fleet of decentralized UAVs. To effectively dispatch the UAVs, a pairwise interaction based on an online hgrid space decomposition is used. It ensures that all UAVs simultaneously explore distinct regions, using only asynchronous and limited communication. Furthermore, we optimize the coverage paths of unknown space and balance the workloads partitioned to each UAV with a capacitated vehicle routing problem formulation. Given the task allocation, each UAV constantly updates the coverage path and incrementally extracts crucial information to support the exploration planning. A hierarchical planner finds exploration paths, refines local viewpoints, and generates minimum-time trajectories in sequence to explore the unknown space agilely and safely. The proposed approach is evaluated extensively, showing high exploration efficiency, scalability, and robustness to limited communication. Furthermore, for the first time, we achieve fully decentralized collaborative exploration with multiple UAVs in the real world. We will release our implementation as an open-source package.", "keywords": [ "Scalability", "Computer science", "Robustness (evolution)", "Asynchronous communication", "Distributed computing", "Planner", "Motion planning", "Space exploration", "Viewpoints", "Real-time computing", "Robot", "Artificial intelligence" ], "cited_by_openalex": 245, "cited_by_scopus": "264", "eid": "2-s2.0-85148452990", "pii": null, "open_access_url": "https://doi.org/10.1109/tro.2023.3236945", "sources": [ { "db": "openalex", "stream": "UAV", "query_id": "UAV-2" }, { "db": "scopus", "stream": "UAV", "query_id": "UAV-2" } ], "streams": [ "UAV" ], "relevance_signals": [ "UAV_NO_CTX" ], "auto_exclude_reason": "EC-4-topic", "screening_status": "auto_excluded", "screened_by": "auto-v1.0.0" }, { "id": "doi:10.1016/j.comnet.2023.109626", "doi": "10.1016/j.comnet.2023.109626", "title": "A survey on security and privacy issues of UAVs", "year": 2023, "authors": [ "Yassine Mekdad", "Ahmet Arış", "Leonardo Babun", "Abdeslam El Fergougui", "Mauro Conti", "Riccardo Lazzeretti", "Arif Selcuk Uluagac" ], "first_author": "Yassine Mekdad", "venue": "Computer Networks", "volume": "224", "pages": null, "type": "article", "language": "en", "abstract": null, "keywords": [ "Computer science", "Computer security", "Security analysis", "Internet privacy" ], "cited_by_openalex": 239, "cited_by_scopus": "254", "eid": "2-s2.0-85150353988", "pii": "S1389128623000713", "open_access_url": "https://doi.org/10.1016/j.comnet.2023.109626", "sources": [ { "db": "openalex", "stream": "UAV", "query_id": "UAV-1" }, { "db": "scopus", "stream": "UAV", "query_id": "UAV-1" } ], "streams": [ "UAV" ], "relevance_signals": [ "UAV_NO_CTX" ], "auto_exclude_reason": "EC-4-topic", "screening_status": "auto_excluded", "screened_by": "auto-v1.0.0" }, { "id": "doi:10.1016/j.trd.2023.103831", "doi": "10.1016/j.trd.2023.103831", "title": "Drones in last-mile delivery: A systematic review on Efficiency, Accessibility, and Sustainability", "year": 2023, "authors": [ "Vipul Kumar Garg", "Suman Niranjan", "Victor R. Prybutok", "Terrance L. Pohlen", "David Marius Gligor" ], "first_author": "Vipul Kumar Garg", "venue": "Transportation Research Part D Transport and Environment", "volume": "123", "pages": null, "type": "review", "language": "en", "abstract": null, "keywords": [ "Drone", "Sustainability", "Last mile (transportation)", "Mile", "Government (linguistics)", "Business", "Engineering", "Geography" ], "cited_by_openalex": 216, "cited_by_scopus": "216", "eid": "2-s2.0-85171879685", "pii": "S1361920923002286", "open_access_url": "https://doi.org/10.1016/j.trd.2023.103831", "sources": [ { "db": "openalex", "stream": "UAV", "query_id": "UAV-1" }, { "db": "scopus", "stream": "UAV", "query_id": "UAV-1" } ], "streams": [ "UAV" ], "relevance_signals": [ "UAV" ], "auto_exclude_reason": null, "screening_status": "pending_human_screening", "screened_by": "auto-v1.0.0" }, { "id": "doi:10.1016/j.xinn.2023.100520", "doi": "10.1016/j.xinn.2023.100520", "title": "Can language models be used for real-world urban-delivery route optimization?", "year": 2023, "authors": [ "Yang Liu", "Fanyou Wu", "Zhiyuan Liu", "Kai Wang", "Feiyue Wang", "Xiaobo Qu" ], "first_author": "Yang Liu", "venue": "The Innovation", "volume": null, "pages": null, "type": "article", "language": "en", "abstract": "Language models have contributed to breakthroughs in interdisciplinary research, such as protein design and molecular dynamics understanding. In this study, we reveal that beyond language, representations of other entities, such as human behaviors, that are mappable to learnable sequences can be learned by language models. One compelling example is the real-world delivery route optimization problem. We here propose a novel approach based on the language model to optimize delivery routes on the basis of drivers' historical experiences. Although a broad range of optimization-based approaches have been designed to optimize delivery routes, they do not capture the implicit knowledge of complex delivery operating environments. The model we propose integrates this knowledge in the route optimization process by learning from driving behaviors in experienced drivers. A real-world delivery route that preserves drivers' implicit behavioral patterns is first analogized to a sentence in natural language. Through unsupervised learning, we then learn the vector representations of words and infer the drivers' delivery chains on the basis of the tailored chain-reaction-based algorithm. We also provide insights into the fusion of language models and operations research methods. In our approach, language models are applied to learn drivers' delivery behaviors and infer new deliveries at the delivery zone level, while the classic traveling salesman problem (TSP) model is embedded into the hybrid framework for intra-zone optimization. Numerical experiments performed on real-world data from Amazon's delivery service demonstrate that the proposed approach outperforms pure optimization, supporting the effectiveness, efficiency, and extensibility of our model. As a versatile approach, the proposed framework can easily be extended to various disciplines in which the data follow certain grammar rules. We anticipate that our work will serve as a stepping stone toward the understanding and application of language models in tackling interdisciplinary research problems.", "keywords": [ "Computer science", "Artificial intelligence", "Process (computing)", "Machine learning", "Extensibility", "Sentence", "Language model", "Optimization problem", "Travelling salesman problem", "Human–computer interaction", "Data science", "Programming language" ], "cited_by_openalex": 160, "cited_by_scopus": 0, "eid": null, "pii": null, "open_access_url": "https://doi.org/10.1016/j.xinn.2023.100520", "sources": [ { "db": "openalex", "stream": "TRUCK", "query_id": "TRUCK-2" } ], "streams": [ "TRUCK" ], "relevance_signals": [ "NO_TECHNOLOGY_MATCH" ], "auto_exclude_reason": "EC-4-topic", "screening_status": "auto_excluded", "screened_by": "auto-v1.0.0" }, { "id": "doi:10.3390/drones7020077", "doi": "10.3390/drones7020077", "title": "Last-Mile Drone Delivery: Past, Present, and Future", "year": 2023, "authors": [ "Hossein Eskandaripour", "Enkhsaikhan Boldsaikhan" ], "first_author": "Hossein Eskandaripour", "venue": "Drones", "volume": "7", "pages": null, "type": "article", "language": "en", "abstract": "Sustainable green products and services garner more attention from companies and enterprises that aim to succeed and grow in highly competitive markets by imposing less harms on the environment and ecosystems. Last-mile delivery from local distribution centers to customers plays an essential role in the retail business. Retail companies are leaning towards implementing green, efficient transportation methods, such as drones, in their last-mile delivery operations to conserve ecosystems. Accordingly, researchers have documented numerous research findings on last-mile drone delivery in recent years. This literature review selected a collection of articles mostly from 2011 to 2022 and reviewed them in terms of key technical challenges, such as routing, cargo distribution optimization, battery management, data communication, and environmental protection. These challenges are interrelated in a sense of achieving eco-friendly, efficient, lean, last-mile drone delivery. The selection of these technical challenges is based on the top challenges discussed in the literature.", "keywords": [ "Drone", "Last mile (transportation)", "Mile", "Business", "Marketing", "Geography" ], "cited_by_openalex": 154, "cited_by_scopus": "152", "eid": "2-s2.0-85148703457", "pii": null, "open_access_url": "https://www.mdpi.com/2504-446X/7/2/77/pdf?version=1675067807", "sources": [ { "db": "openalex", "stream": "UAV", "query_id": "UAV-1" }, { "db": "scopus", "stream": "UAV", "query_id": "UAV-1" } ], "streams": [ "UAV" ], "relevance_signals": [ "UAV" ], "auto_exclude_reason": null, "screening_status": "pending_human_screening", "screened_by": "auto-v1.0.0" }, { "id": "doi:10.1016/j.ejor.2023.06.021", "doi": "10.1016/j.ejor.2023.06.021", "title": "A multi-visit flexible-docking vehicle routing problem with drones for simultaneous pickup and delivery services", "year": 2023, "authors": [ "Jie Jiang", "Ying Dai", "Fei Yang", "Zujun Ma" ], "first_author": "Jie Jiang", "venue": "European Journal of Operational Research", "volume": "312", "pages": "125-137", "type": "article", "language": "en", "abstract": null, "keywords": [ "Drone", "Truck", "Vehicle routing problem", "Pickup", "Computer science", "Integer programming", "Interdependence", "Metaheuristic", "Routing (electronic design automation)", "Operations research", "Transport engineering", "Simulation" ], "cited_by_openalex": 156, "cited_by_scopus": "147", "eid": "2-s2.0-85164386297", "pii": "S0377221723004733", "open_access_url": "https://doi.org/10.1016/j.ejor.2023.06.021", "sources": [ { "db": "openalex", "stream": "UAV", "query_id": "UAV-2" }, { "db": "scopus", "stream": "UAV", "query_id": "UAV-2" } ], "streams": [ "UAV" ], "relevance_signals": [ "UAV_NO_CTX", "TRUCK_NO_CTX" ], "auto_exclude_reason": "EC-4-topic", "screening_status": "auto_excluded", "screened_by": "auto-v1.0.0" }, { "id": "doi:10.1016/j.trb.2023.01.002", "doi": "10.1016/j.trb.2023.01.002", "title": "An exact algorithm for the two-echelon vehicle routing problem with drones", "year": 2023, "authors": [ "Hang Zhou", "Hu Qin", "Chun Cheng", "Louis-Martin Rousseau" ], "first_author": "Hang Zhou", "venue": "Transportation Research Part B Methodological", "volume": "168", "pages": "124-150", "type": "article", "language": "en", "abstract": null, "keywords": [ "Vehicle routing problem", "Drone", "Computer science", "Routing (electronic design automation)", "Mathematical optimization", "Algorithm", "Mathematics", "Computer network" ], "cited_by_openalex": 147, "cited_by_scopus": "146", "eid": "2-s2.0-85145768173", "pii": "S0191261523000024", "open_access_url": "https://doi.org/10.1016/j.trb.2023.01.002", "sources": [ { "db": "openalex", "stream": "UAV", "query_id": "UAV-2" }, { "db": "scopus", "stream": "UAV", "query_id": "UAV-2" } ], "streams": [ "UAV" ], "relevance_signals": [ "UAV_NO_CTX" ], "auto_exclude_reason": "EC-4-topic", "screening_status": "auto_excluded", "screened_by": "auto-v1.0.0" }, { "id": "doi:10.1016/j.ejor.2023.02.030", "doi": "10.1016/j.ejor.2023.02.030", "title": "A branch-and-price-and-cut algorithm for the truck-based drone delivery routing problem with time windows", "year": 2023, "authors": [ "Yunqiang Yin", "Dongwei Li", "Dujuan Wang", "Joshua Ignatius", "T.C.E. Cheng", "Sutong Wang" ], "first_author": "Yunqiang Yin", "venue": "European Journal of Operational Research", "volume": "309", "pages": "1125-1144", "type": "article", "language": "en", "abstract": null, "keywords": [ "Truck", "Drone", "Computer science", "Vehicle routing problem", "Leverage (statistics)", "Routing (electronic design automation)", "Node (physics)", "Operations research", "Mathematical optimization", "Computer network", "Engineering", "Mathematics" ], "cited_by_openalex": 139, "cited_by_scopus": "130", "eid": "2-s2.0-85150026446", "pii": "S0377221723001625", "open_access_url": "https://doi.org/10.1016/j.ejor.2023.02.030", "sources": [ { "db": "openalex", "stream": "UAV", "query_id": "UAV-1" }, { "db": "openalex", "stream": "UAV", "query_id": "UAV-2" }, { "db": "scopus", "stream": "UAV", "query_id": "UAV-1" }, { "db": "scopus", "stream": "UAV", "query_id": "UAV-2" } ], "streams": [ "UAV" ], "relevance_signals": [ "UAV_NO_CTX", "TRUCK_NO_CTX" ], "auto_exclude_reason": "EC-4-topic", "screening_status": "auto_excluded", "screened_by": "auto-v1.0.0" }, { "id": "doi:10.1016/j.trb.2023.102781", "doi": "10.1016/j.trb.2023.102781", "title": "Robust vehicle routing with drones under uncertain demands and truck travel times in humanitarian logistics", "year": 2023, "authors": [ "Yunqiang Yin", "Yongjian Yang", "Yugang Yu", "Dujuan Wang", "T.C.E. Cheng" ], "first_author": "Yunqiang Yin", "venue": "Transportation Research Part B Methodological", "volume": "174", "pages": null, "type": "article", "language": "en", "abstract": null, "keywords": [ "Truck", "Drone", "Robustness (evolution)", "Vehicle routing problem", "Computer science", "Operations research", "Routing (electronic design automation)", "Robust optimization", "Resource (disambiguation)", "Transport engineering", "Mathematical optimization", "Engineering" ], "cited_by_openalex": 119, "cited_by_scopus": "130", "eid": "2-s2.0-85163440193", "pii": "S0191261523001042", "open_access_url": "https://doi.org/10.1016/j.trb.2023.102781", "sources": [ { "db": "openalex", "stream": "UAV", "query_id": "UAV-2" }, { "db": "scopus", "stream": "UAV", "query_id": "UAV-2" } ], "streams": [ "UAV" ], "relevance_signals": [ "UAV_NO_CTX", "TRUCK_NO_CTX" ], "auto_exclude_reason": "EC-4-topic", "screening_status": "auto_excluded", "screened_by": "auto-v1.0.0" }, { "id": "doi:10.1016/j.jairtraman.2023.102460", "doi": "10.1016/j.jairtraman.2023.102460", "title": "New infrastructures for Urban Air Mobility systems: A systematic review on vertiport location and capacity", "year": 2023, "authors": [ "Matteo Brunelli", "Chiara Caterina Ditta", "Maria Nadia Postorino" ], "first_author": "Matteo Brunelli", "venue": "Journal of Air Transport Management", "volume": "112", "pages": null, "type": "review", "language": "en", "abstract": null, "keywords": [ "Transport engineering", "Order (exchange)", "Position (finance)", "Computer science", "Dimension (graph theory)", "Public transport", "Risk analysis (engineering)", "Business", "Engineering" ], "cited_by_openalex": 119, "cited_by_scopus": "124", "eid": "2-s2.0-85166246420", "pii": "S0969699723001035", "open_access_url": "https://doi.org/10.1016/j.jairtraman.2023.102460", "sources": [ { "db": "openalex", "stream": "UAV", "query_id": "UAV-3" }, { "db": "scopus", "stream": "UAV", "query_id": "UAV-3" } ], "streams": [ "UAV" ], "relevance_signals": [ "UAV_NO_CTX" ], "auto_exclude_reason": "EC-4-topic", "screening_status": "auto_excluded", "screened_by": "auto-v1.0.0" }, { "id": "doi:10.3390/su15032774", "doi": "10.3390/su15032774", "title": "Autonomous Delivery Solutions for Last-Mile Logistics Operations: A Literature Review and Research Agenda", "year": 2023, "authors": [ "Valeska Engesser", "Evy Rombaut", "Lieselot Vanhaverbeke", "Philippe Lebeau" ], "first_author": "Valeska Engesser", "venue": "Sustainability", "volume": "15", "pages": null, "type": "article", "language": "en", "abstract": "The implementation of autonomous delivery solutions in last-mile logistics operations is considered promising. Autonomous delivery solutions can help in tackling urban challenges related to last-mile logistics operations. Urbanization creates higher mobility and transportation demand, which contributes to increased congestion levels, traffic, air pollution, and accident rates. Moreover, mega-trends, such as e-commerce, demand that logistics companies react to increased customer expectations in terms of delivery time and service. Concerning service, electrified autonomous delivery solutions have the potential to operate 24/7 and can help to overcome driver shortages. This paper conducts a systematic literature review. Based on the literature set, a snowballing procedure was applied. Complementary gray literature was included. This work discusses different autonomous delivery solutions such as Autonomous Delivery Robots (ADRs), Unmanned Aerial Vehicles (UAVs), two- or multi-tiered systems, and the concept of passenger and freight integration. The work presents advantages and disadvantages, enabling the comparison of solutions. Furthermore, a research agenda is provided, from which practical-managerial and theoretical implications can be derived. The research agenda can help researchers, manufacturers, businesses, and governmental institutions to prepare for the arrival and subsequent implementation of autonomous delivery services. Various implications related to energy demand, legislation, implementation strategy, training, and risk and safety are presented. The outcome of this work calls for collaboration among various stakeholders, encourages mutual learning, and hints at the importance of national and international development projects.", "keywords": [ "Last mile (transportation)", "Work (physics)", "Traffic congestion", "Service (business)", "Transport engineering", "Humanitarian Logistics", "Business", "Risk analysis (engineering)", "Computer science", "Process management", "Mile", "Marketing" ], "cited_by_openalex": 117, "cited_by_scopus": "115", "eid": "2-s2.0-85147861491", "pii": null, "open_access_url": "https://www.mdpi.com/2071-1050/15/3/2774/pdf?version=1675415572", "sources": [ { "db": "openalex", "stream": "UAV", "query_id": "UAV-1" }, { "db": "scopus", "stream": "UAV", "query_id": "UAV-1" } ], "streams": [ "UAV" ], "relevance_signals": [ "UAV" ], "auto_exclude_reason": null, "screening_status": "pending_human_screening", "screened_by": "auto-v1.0.0" }, { "id": "doi:10.1016/j.trc.2022.103981", "doi": "10.1016/j.trc.2022.103981", "title": "A deep reinforcement learning approach for solving the Traveling Salesman Problem with Drone", "year": 2023, "authors": [ "Aigerim Bogyrbayeva", "Taehyun Yoon", "Hanbum Ko", "Sungbin Lim", "Hyokun Yun", "Changhyun Kwon" ], "first_author": "Aigerim Bogyrbayeva", "venue": "Transportation Research Part C Emerging Technologies", "volume": "148", "pages": null, "type": "article", "language": "en", "abstract": null, "keywords": [ "Travelling salesman problem", "Computer science", "Reinforcement learning", "Drone", "Routing (electronic design automation)", "Vehicle routing problem", "Node (physics)", "2-opt", "Mathematical optimization", "Artificial intelligence", "Computer network", "Engineering" ], "cited_by_openalex": 115, "cited_by_scopus": "111", "eid": "2-s2.0-85146047173", "pii": "S0968090X22003941", "open_access_url": "https://doi.org/10.1016/j.trc.2022.103981", "sources": [ { "db": "openalex", "stream": "UAV", "query_id": "UAV-2" }, { "db": "scopus", "stream": "UAV", "query_id": "UAV-2" } ], "streams": [ "UAV" ], "relevance_signals": [ "UAV_NO_CTX" ], "auto_exclude_reason": "EC-4-topic", "screening_status": "auto_excluded", "screened_by": "auto-v1.0.0" }, { "id": "doi:10.1080/16258312.2023.2173488", "doi": "10.1080/16258312.2023.2173488", "title": "Innovative solutions in last mile delivery: concepts, practices, challenges, and future directions", "year": 2023, "authors": [ "Wassen A. M. Mohammad", "Yousef Nazih Diab", "Adel Elomri", "Chefi Triki" ], "first_author": "Wassen A. M. Mohammad", "venue": "Supply Chain Forum an International Journal", "volume": "24", "pages": "151-169", "type": "article", "language": "en", "abstract": "In the last decade, e-commerce has been growing consistently. Fostered by the covid pandemic, online retail has grown exponentially, particularly in industries including food, clothing, groceries, and many others. This growth in online retailing activities has raised critical logistic challenges, especially in the last leg of the distribution, commonly referred to as the Last Mile. For instance, traditional truck-based home delivery has reached its limit within metropolitan areas and can no longer be an effective delivery method. Driven by technological progress, several other logistic solutions have been deployed as innovative alternatives to deliver parcels. This includes delivery by drones, smart parcel stations, robots, and crowdsourcing, among others. In this setting, this paper aims to provide a comprehensive review and analysis of the latest trends in last-mile delivery solutions from both industry and academic perspectives (see Figure 1 for overview). We use a content analysis literature review to analyse over 80 relevant publications, derive the necessary features of the latest innovation in the last mile delivery, and point out their different maturity levels and the related theoretical and operational challenges.Innovative solutions in last mile delivery: concepts, practices, challenges, and future directionsAll authorsWassen AM Mohammad, Yousef Nazih Diab, Adel Elomri & Chefi Triki https://doi.org/10.1080/16258312.2023.2173488Published online:07 February 2023Figure 1. Overview and Graphical Abstract.Display full sizeFigure 1. Overview and Graphical Abstract.", "keywords": [ "Last mile (transportation)", "Mile", "Metropolitan area", "Food delivery", "Best practice", "Crowdsourcing", "Computer science", "Business", "Marketing", "Geography", "World Wide Web", "Management" ], "cited_by_openalex": 96, "cited_by_scopus": "107", "eid": "2-s2.0-85147687084", "pii": null, "open_access_url": "https://www.tandfonline.com/doi/pdf/10.1080/16258312.2023.2173488?needAccess=true&role=button", "sources": [ { "db": "openalex", "stream": "TRUCK", "query_id": "TRUCK-1" }, { "db": "openalex", "stream": "UAV", "query_id": "UAV-1" }, { "db": "scopus", "stream": "TRUCK", "query_id": "TRUCK-1" }, { "db": "scopus", "stream": "UAV", "query_id": "UAV-1" } ], "streams": [ "TRUCK", "UAV" ], "relevance_signals": [ "UAV", "TRUCK" ], "auto_exclude_reason": null, "screening_status": "pending_human_screening", "screened_by": "auto-v1.0.0" }, { "id": "doi:10.1109/tase.2022.3232025", "doi": "10.1109/tase.2022.3232025", "title": "Review of Navigation Methods for UAV-Based Parcel Delivery", "year": 2023, "authors": [ "Didula Dissanayaka", "Thumeera R. Wanasinghe", "Oscar De Silva", "Awantha Jayasiri", "George K. I. Mann" ], "first_author": "Didula Dissanayaka", "venue": "IEEE Transactions on Automation Science and Engineering", "volume": "21", "pages": "1068-1082", "type": "article", "language": "en", "abstract": "This paper presents a comprehensive review of state-of-the-art navigation methods available for unmanned aerial vehicles (UAVs) used in parcel delivery. Particularly, the paper focuses on state-of-the-art sensor configurations, multi-sensor data fusion architectures, and their performance when employed for UAV navigation. Additionally, this paper presents the associated safety regulations for UAV navigation currently imposed by regulatory bodies in US and Canada. The existing navigation solutions sometimes produce degenerative results due to GPS loss, multipath signals, spoofing events, and other sensor degradation scenarios. Therefore, this article investigates the suitability of integrating visual lidar odometry and mapping (VLOAM) with GPS to overcome the limitations of existing navigation solutions. A comparative study of the multi-sensory combined solutions is presented with numerical simulations, validating the regulatory compliance of VLOAM and GPS integrated system under common GPS failure cases. Note to Practitioners—This work was motivated by the need for a survey on existing UAV navigation methods for parcel delivery applications. Different UAV navigation methods exist, depending on the sensors used and the sensor fusion architectures, with varying degrees of localization accuracy. It can be challenging for researchers and practitioners to decide which method to adopt for their application while complying with the existing safety regulations. Therefore, this paper presents an overview of the current safety regulation for UAV navigation and evaluates the state-of-the-art navigation methods against regulatory safety compliance. Additionally, a numerically validated safe navigation method is suggested for UAV-based parcel delivery. This paper provides researchers and practitioners with comprehensive reference sources in the UAV navigation field, which can help them develop suitable solutions to ensure safe navigation.", "keywords": [ "Computer science", "Environmental science", "Marine engineering", "Remote sensing", "Engineering", "Real-time computing", "Simulation", "Geology" ], "cited_by_openalex": 105, "cited_by_scopus": "106", "eid": "2-s2.0-85147215228", "pii": null, "open_access_url": "https://nrc-publications.canada.ca/eng/view/accepted/?id=0df92bfe-cdff-4396-af67-b4eb226210bb", "sources": [ { "db": "openalex", "stream": "UAV", "query_id": "UAV-1" }, { "db": "scopus", "stream": "UAV", "query_id": "UAV-1" } ], "streams": [ "UAV" ], "relevance_signals": [ "UAV" ], "auto_exclude_reason": null, "screening_status": "pending_human_screening", "screened_by": "auto-v1.0.0" }, { "id": "doi:10.3390/drones7030191", "doi": "10.3390/drones7030191", "title": "Drone-Aided Delivery Methods, Challenge, and the Future: A Methodological Review", "year": 2023, "authors": [ "Li X." ], "first_author": "Li X.", "venue": "Drones", "volume": "7", "pages": null, "type": "Review", "language": null, "abstract": null, "keywords": [], "cited_by_openalex": 0, "cited_by_scopus": "103", "eid": "2-s2.0-85151138827", "pii": null, "open_access_url": null, "sources": [ { "db": "scopus", "stream": "UAV", "query_id": "UAV-1" } ], "streams": [ "UAV" ], "relevance_signals": [ "UAV_NO_CTX" ], "auto_exclude_reason": "EC-4-topic", "screening_status": "auto_excluded", "screened_by": "auto-v1.0.0" }, { "id": "doi:10.1016/j.ejor.2023.02.031", "doi": "10.1016/j.ejor.2023.02.031", "title": "Planning robust drone-truck delivery routes under road traffic uncertainty", "year": 2023, "authors": [ "Yu Long Yang", "Chiwei Yan", "Yufeng Cao", "Roberto Roberti" ], "first_author": "Yu Long Yang", "venue": "European Journal of Operational Research", "volume": "309", "pages": "1145-1160", "type": "article", "language": "en", "abstract": null, "keywords": [ "Drone", "Truck", "Computer science", "Operations research", "Last mile (transportation)", "Profit (economics)", "Robust optimization", "Variance (accounting)", "Mathematical optimization", "Business", "Engineering", "Automotive engineering" ], "cited_by_openalex": 103, "cited_by_scopus": "97", "eid": "2-s2.0-85150033191", "pii": "S0377221723001649", "open_access_url": "https://doi.org/10.1016/j.ejor.2023.02.031", "sources": [ { "db": "openalex", "stream": "TRUCK", "query_id": "TRUCK-1" }, { "db": "openalex", "stream": "UAV", "query_id": "UAV-1" }, { "db": "scopus", "stream": "TRUCK", "query_id": "TRUCK-1" }, { "db": "scopus", "stream": "UAV", "query_id": "UAV-1" } ], "streams": [ "TRUCK", "UAV" ], "relevance_signals": [ "UAV", "TRUCK" ], "auto_exclude_reason": null, "screening_status": "pending_human_screening", "screened_by": "auto-v1.0.0" }, { "id": "doi:10.1109/tits.2023.3267103", "doi": "10.1109/tits.2023.3267103", "title": "Multi-Objective Optimization Algorithm With Adaptive Resource Allocation for Truck-Drone Collaborative Delivery and Pick-Up Services", "year": 2023, "authors": [ "Qizhang Luo", "Guohua Wu", "Anupam Trivedi", "Fangyu Hong", "Ling Wang", "Dipti Srinivasan" ], "first_author": "Qizhang Luo", "venue": "IEEE Transactions on Intelligent Transportation Systems", "volume": "24", "pages": "9642-9657", "type": "article", "language": "en", "abstract": "To efficiently implement the truck-drone collaborative logistics system, we introduce a multi-objective truck-drone collaborative routing problem with delivery and pick-up services (MCRP-DP). A truck collaborating with a fleet of drones serves three types of customers that require delivery, pick-up, and simultaneous delivery & pick-up services, respectively. Different from most of the existing studies where the drone visits only one customer in a flight, we allow the drone to serve another customer requiring pick-up service when it completes a delivery service. Meanwhile, we simultaneously optimize three objectives: transportation costs, waiting time of vehicles (i.e., truck and drone), and service reliability. To solve MCRP-DP, we propose an objective space decomposition-based multi-objective evolutionary algorithm with adaptive resource allocation (ODEA-ARA) In ODEA-ARA, an objective space decomposition strategy is used to maintain the diversity while an adaptive resource allocation strategy is designed to improve convergence. We design an ensemble of relative improvement and relative contribution to assist the resource allocation and a variable neighborhood Pareto local search integrating 7 problem-specific neighborhood structures to improve the solution. Extensive computational experiments are carried out to evaluate the performance of ODEA-ARA. The experimental results show that ODEA-ARA outperforms its competitors. Meanwhile, several useful managerial insights are presented.", "keywords": [ "Drone", "Truck", "Resource allocation", "Computer science", "Pareto principle", "Service (business)", "Vehicle routing problem", "Resource (disambiguation)", "Decomposition", "Convergence (economics)", "Routing (electronic design automation)", "Operations research" ], "cited_by_openalex": 89, "cited_by_scopus": "95", "eid": "2-s2.0-85153499708", "pii": null, "open_access_url": "https://doi.org/10.1109/tits.2023.3267103", "sources": [ { "db": "openalex", "stream": "UAV", "query_id": "UAV-2" }, { "db": "scopus", "stream": "UAV", "query_id": "UAV-2" } ], "streams": [ "UAV" ], "relevance_signals": [ "UAV_NO_CTX", "TRUCK_NO_CTX" ], "auto_exclude_reason": "EC-4-topic", "screening_status": "auto_excluded", "screened_by": "auto-v1.0.0" }, { "id": "doi:10.1016/j.tre.2023.103377", "doi": "10.1016/j.tre.2023.103377", "title": "Optimization of the drone-assisted pickup and delivery problem", "year": 2023, "authors": [ "Timothy Mulumba", "Ali H. Diabat" ], "first_author": "Timothy Mulumba", "venue": "Transportation Research Part E Logistics and Transportation Review", "volume": "181", "pages": null, "type": "article", "language": "en", "abstract": null, "keywords": [ "Drone", "Truck", "Pickup", "Context (archaeology)", "Computer science", "Heuristic", "Bottleneck", "Operations research", "Last mile (transportation)", "Simulation", "Engineering", "Automotive engineering" ], "cited_by_openalex": 88, "cited_by_scopus": "94", "eid": "2-s2.0-85178500977", "pii": "S1366554523003654", "open_access_url": "https://doi.org/10.1016/j.tre.2023.103377", "sources": [ { "db": "openalex", "stream": "TRUCK", "query_id": "TRUCK-3" }, { "db": "openalex", "stream": "UAV", "query_id": "UAV-1" }, { "db": "scopus", "stream": "TRUCK", "query_id": "TRUCK-3" }, { "db": "scopus", "stream": "UAV", "query_id": "UAV-1" }, { "db": "scopus", "stream": "UAV", "query_id": "UAV-2" } ], "streams": [ "TRUCK", "UAV" ], "relevance_signals": [ "UAV", "TRUCK" ], "auto_exclude_reason": null, "screening_status": "pending_human_screening", "screened_by": "auto-v1.0.0" }, { "id": "doi:10.1016/j.eswa.2023.119777", "doi": "10.1016/j.eswa.2023.119777", "title": "Applying NSGA-II to vehicle routing problem with drones considering makespan and carbon emission", "year": 2023, "authors": [ "R.J. Kuo", "Evan Edbert", "Ferani Eva Zulvia", "Shih‐Hao Lu" ], "first_author": "R.J. Kuo", "venue": "Expert Systems with Applications", "volume": "221", "pages": null, "type": "article", "language": "en", "abstract": null, "keywords": [ "Drone", "Sorting", "Computer science", "Job shop scheduling", "Genetic algorithm", "Routing (electronic design automation)", "Mathematical optimization", "Vehicle routing problem", "Operator (biology)", "Operations research", "Algorithm", "Mathematics" ], "cited_by_openalex": 84, "cited_by_scopus": "91", "eid": "2-s2.0-85149751691", "pii": "S0957417423002786", "open_access_url": "https://doi.org/10.1016/j.eswa.2023.119777", "sources": [ { "db": "openalex", "stream": "UAV", "query_id": "UAV-2" }, { "db": "scopus", "stream": "UAV", "query_id": "UAV-2" } ], "streams": [ "UAV" ], "relevance_signals": [ "UAV_NO_CTX" ], "auto_exclude_reason": "EC-4-topic", "screening_status": "auto_excluded", "screened_by": "auto-v1.0.0" }, { "id": "doi:10.1109/access.2023.3244067", "doi": "10.1109/access.2023.3244067", "title": "Optimized Routing of UAVs Using Bio-Inspired Algorithm in FANET: A Systematic Review", "year": 2023, "authors": [ "T. Rehannara Beegum", "Mohd Yamani Idna Idris", "Mohamad Nizam Bin Ayub", "Hisham A. Shehadeh" ], "first_author": "T. Rehannara Beegum", "venue": "IEEE Access", "volume": "11", "pages": "15588-15622", "type": "review", "language": "en", "abstract": "Flying Ad hoc Network (FANET) is a self-organizing wireless network that constitutes swarms of flying nodes, namely Unmanned Aerial Vehicles (UAV), and communicates in close proximity. It has various distinguishing characteristics that set it apart from other ad hoc networks, posing some issues, particularly in routing. UAVs are highly dynamic and have frequent topology changes. Hence, the network urges an efficient routing technique to coordinate the node swarms and enhance the evaluation metrics of the network. The biological behavior of various living organisms, such as animals, insects, microbes, and humans, inspires researchers to solve various routing problems in ad hoc networks. Decentralized self-organized swarms of UAVs closely resemble the biological system. Therefore, the Bio-Inspired Algorithms (BIA) resolve a wide range of routing challenges in FANET. A Systematic Literature Review (SLR) is adopted to survey FANET routing methods based on non-hybrid and hybrid BIAs to properly comprehend the existing bio-inspired strategies used in FANET routing. The review will be beneficial for the researchers in the specified area. To our knowledge, no SLR has been conducted about the FANET routing protocol that employs BIA. This paper examines (1) the characteristics and features of existing routing algorithms, (2) the need of both non-hybrid and hybrid BIA for effective and optimal routing, (3) an analysis of the method’s simulation tools, evaluation metrics, and mobility models, (4) the current issues and scope of the study related to the specified method.", "keywords": [ "Computer science", "Wireless ad hoc network", "Computer network", "Routing protocol", "Distributed computing", "Routing (electronic design automation)", "Destination-Sequenced Distance Vector routing", "Link-state routing protocol", "Geographic routing", "Wireless Routing Protocol", "Node (physics)", "Static routing" ], "cited_by_openalex": 82, "cited_by_scopus": "90", "eid": "2-s2.0-85149169249", "pii": null, "open_access_url": "https://ieeexplore.ieee.org/ielx7/6287639/6514899/10041916.pdf", "sources": [ { "db": "openalex", "stream": "UAV", "query_id": "UAV-2" }, { "db": "scopus", "stream": "UAV", "query_id": "UAV-2" } ], "streams": [ "UAV" ], "relevance_signals": [ "UAV_NO_CTX" ], "auto_exclude_reason": "EC-4-topic", "screening_status": "auto_excluded", "screened_by": "auto-v1.0.0" }, { "id": "doi:10.1016/j.trb.2023.03.003", "doi": "10.1016/j.trb.2023.03.003", "title": "A branch-and-price-and-cut algorithm for the vehicle routing problem with load-dependent drones", "year": 2023, "authors": [ "Yang Xia", "Wenjia Zeng", "Canrong Zhang", "Hai Long Yang" ], "first_author": "Yang Xia", "venue": "Transportation Research Part B Methodological", "volume": "171", "pages": "80-110", "type": "article", "language": "en", "abstract": null, "keywords": [ "Drone", "Computer science", "Mathematical optimization", "Truck", "Energy consumption", "Routing (electronic design automation)", "Vehicle routing problem", "Integer programming", "Nonlinear programming", "Nonlinear system", "Algorithm", "Engineering" ], "cited_by_openalex": 96, "cited_by_scopus": "86", "eid": "2-s2.0-85151788672", "pii": "S0191261523000383", "open_access_url": "https://doi.org/10.1016/j.trb.2023.03.003", "sources": [ { "db": "openalex", "stream": "UAV", "query_id": "UAV-2" }, { "db": "scopus", "stream": "UAV", "query_id": "UAV-2" } ], "streams": [ "UAV" ], "relevance_signals": [ "UAV_NO_CTX", "TRUCK_NO_CTX" ], "auto_exclude_reason": "EC-4-topic", "screening_status": "auto_excluded", "screened_by": "auto-v1.0.0" }, { "id": "doi:10.1016/j.trc.2023.104407", "doi": "10.1016/j.trc.2023.104407", "title": "Multi-trucks-and-drones cooperative pickup and delivery problem", "year": 2023, "authors": [ "Jiajing Gao", "Lu Zhen", "Shuaian Wang" ], "first_author": "Jiajing Gao", "venue": "Transportation Research Part C Emerging Technologies", "volume": "157", "pages": null, "type": "article", "language": "en", "abstract": null, "keywords": [ "Truck", "Drone", "Pickup", "Column generation", "Computer science", "Integer programming", "Context (archaeology)", "Vehicle routing problem", "Scheduling (production processes)", "Frame (networking)", "Linear programming", "Mathematical optimization" ], "cited_by_openalex": 79, "cited_by_scopus": "85", "eid": "2-s2.0-85177990122", "pii": "S0968090X23003972", "open_access_url": "http://hdl.handle.net/10397/107810", "sources": [ { "db": "openalex", "stream": "TRUCK", "query_id": "TRUCK-2" }, { "db": "openalex", "stream": "TRUCK", "query_id": "TRUCK-3" }, { "db": "scopus", "stream": "TRUCK", "query_id": "TRUCK-2" }, { "db": "scopus", "stream": "TRUCK", "query_id": "TRUCK-3" } ], "streams": [ "TRUCK" ], "relevance_signals": [ "UAV_NO_CTX", "TRUCK_NO_CTX" ], "auto_exclude_reason": "EC-4-topic", "screening_status": "auto_excluded", "screened_by": "auto-v1.0.0" }, { "id": "doi:10.3390/s23031463", "doi": "10.3390/s23031463", "title": "Drone Routing for Drone-Based Delivery Systems: A Review of Trajectory Planning, Charging, and Security", "year": 2023, "authors": [ "Asif Mahmud Raivi", "S. M. Asiful Huda", "Muhammad Morshed Alam", "Sangman Moh" ], "first_author": "Asif Mahmud Raivi", "venue": "Sensors", "volume": "23", "pages": null, "type": "article", "language": "en", "abstract": "Recently, owing to the high mobility and low cost of drones, drone-based delivery systems have shown considerable potential for ensuring flexible and reliable parcel delivery. Several crucial design issues must be considered to design such systems, including route planning, payload weight consideration, distance measurement, and customer location. In this paper, we present a survey of emerging drone routing algorithms for drone-based delivery systems, emphasizing three major drone routing aspects: trajectory planning, charging, and security. We focus on practical design considerations to ensure efficient, flexible, and reliable parcel delivery. We first discuss the potential issues arising when designing such systems. Next, we present a novel taxonomy based on the above-mentioned three aspects. We extensively review each algorithm for drone routing in terms of key features and operational characteristics. Furthermore, we compare the algorithms in terms of their main idea, advantages, limitations, and performance aspects. Finally, we present open research challenges to motivate further research in this field. In particular, we focus on the major aspects that researchers and engineers need to consider in order to design effective and reliable drone routing algorithms for drone-based delivery systems.", "keywords": [ "Drone", "Payload (computing)", "Computer science", "Routing (electronic design automation)", "Key (lock)", "Focus (optics)", "Systems engineering", "Risk analysis (engineering)", "Computer security", "Engineering", "Computer network" ], "cited_by_openalex": 83, "cited_by_scopus": "80", "eid": "2-s2.0-85147843081", "pii": null, "open_access_url": "https://www.mdpi.com/1424-8220/23/3/1463/pdf?version=1674896807", "sources": [ { "db": "openalex", "stream": "UAV", "query_id": "UAV-1" }, { "db": "openalex", "stream": "UAV", "query_id": "UAV-3" }, { "db": "scopus", "stream": "UAV", "query_id": "UAV-1" }, { "db": "scopus", "stream": "UAV", "query_id": "UAV-3" } ], "streams": [ "UAV" ], "relevance_signals": [ "UAV" ], "auto_exclude_reason": null, "screening_status": "pending_human_screening", "screened_by": "auto-v1.0.0" }, { "id": "doi:10.1016/j.trc.2023.104139", "doi": "10.1016/j.trc.2023.104139", "title": "Dynamic truck–drone routing problem for scheduled deliveries and on-demand pickups with time-related constraints", "year": 2023, "authors": [ "Ruixue Gu", "Yang Liu", "Mark Poon" ], "first_author": "Ruixue Gu", "venue": "Transportation Research Part C Emerging Technologies", "volume": "151", "pages": null, "type": "article", "language": "en", "abstract": null, "keywords": [ "Drone", "Truck", "Vehicle routing problem", "Routing (electronic design automation)", "Computer science", "Transport engineering", "Engineering", "Operations research", "Automotive engineering", "Computer network" ], "cited_by_openalex": 80, "cited_by_scopus": "77", "eid": "2-s2.0-85152488713", "pii": "S0968090X23001286", "open_access_url": "https://doi.org/10.1016/j.trc.2023.104139", "sources": [ { "db": "openalex", "stream": "UAV", "query_id": "UAV-2" }, { "db": "scopus", "stream": "UAV", "query_id": "UAV-2" } ], "streams": [ "UAV" ], "relevance_signals": [ "UAV_NO_CTX", "TRUCK_NO_CTX" ], "auto_exclude_reason": "EC-4-topic", "screening_status": "auto_excluded", "screened_by": "auto-v1.0.0" }, { "id": "doi:10.1016/j.ejor.2023.03.031", "doi": "10.1016/j.ejor.2023.03.031", "title": "The multi-vehicle truck-and-robot routing problem for last-mile delivery", "year": 2023, "authors": [ "Manuel Ostermeier", "Andreas Heimfarth", "Alexander Hübner" ], "first_author": "Manuel Ostermeier", "venue": "European Journal of Operational Research", "volume": "310", "pages": "680-697", "type": "article", "language": "en", "abstract": null, "keywords": [ "Truck", "Vehicle routing problem", "Robot", "Routing (electronic design automation)", "Computer science", "Delivery Performance", "Transport engineering", "Cluster analysis", "Heuristic", "Operations research", "Engineering", "Computer network" ], "cited_by_openalex": 69, "cited_by_scopus": "74", "eid": "2-s2.0-85153530966", "pii": "S0377221723002552", "open_access_url": "https://opus.bibliothek.uni-augsburg.de/opus4/files/103374/103374.pdf", "sources": [ { "db": "openalex", "stream": "TRUCK", "query_id": "TRUCK-1" }, { "db": "openalex", "stream": "TRUCK", "query_id": "TRUCK-3" }, { "db": "scopus", "stream": "TRUCK", "query_id": "TRUCK-1" }, { "db": "scopus", "stream": "TRUCK", "query_id": "TRUCK-3" } ], "streams": [ "TRUCK" ], "relevance_signals": [ "TRUCK" ], "auto_exclude_reason": null, "screening_status": "pending_human_screening", "screened_by": "auto-v1.0.0" }, { "id": "doi:10.1109/jiot.2023.3266843", "doi": "10.1109/jiot.2023.3266843", "title": "Drone Transportation System: Systematic Review of Security Dynamics for Smart Mobility", "year": 2023, "authors": [ "Simeon Okechukwu Ajakwe", "Dong‐Seong Kim", "Jae‐Min Lee" ], "first_author": "Simeon Okechukwu Ajakwe", "venue": "IEEE Internet of Things Journal", "volume": "10", "pages": "14462-14482", "type": "review", "language": "en", "abstract": "The intelligence and integrity of a real-time cyber–physical system depend on how trustworthy the data’s legitimacy, appropriation, and authorization are during end-to-end communication between the participating nodes in its network. With the recurrent repugnant global violations of the airspace by drones and their derivatives, there is an urgent need to empirically evaluate the underlying security architectures that govern drone usage operations for priority logistics. This review examines the significant contribution of artificial intelligence models and blockchain to the development of trustworthy and reliable intelligent and secure autonomous systems by integrating cyberspace, intelligence space, and airspace security. PRISMA-SPIDER methodology was adopted for the systematic review of 133 articles based on the inclusion criteria consisting of 91 (68.4%) quantitative studies, 19 qualitative studies (14.2%), and 23 (17.3%) mixed method studies to balance article selection sensitivity and specificity. The review outcome shows a significant disconnect between model proposals and actual implementation. Through the incorporation of zero-trust architecture into the existing blockchain technology and the convergence of newer AI models, dynamic security issues like drone ownership authentication, drone package delivery verification, drone operation authorization, and drone jurisdiction accountability, can be achieved seamlessly for secure smart mobility via drone transportation systems.", "keywords": [ "Drone", "Computer science", "Computer security", "Authentication (law)" ], "cited_by_openalex": 65, "cited_by_scopus": "74", "eid": "2-s2.0-85153338670", "pii": null, "open_access_url": "https://doi.org/10.1109/jiot.2023.3266843", "sources": [ { "db": "openalex", "stream": "UAV", "query_id": "UAV-3" }, { "db": "scopus", "stream": "UAV", "query_id": "UAV-3" } ], "streams": [ "UAV" ], "relevance_signals": [ "UAV" ], "auto_exclude_reason": null, "screening_status": "pending_human_screening", "screened_by": "auto-v1.0.0" }, { "id": "doi:10.1016/j.ejor.2023.10.021", "doi": "10.1016/j.ejor.2023.10.021", "title": "The multi-visit drone-assisted pickup and delivery problem with time windows", "year": 2023, "authors": [ "Shanshan Meng", "Yanru Chen", "Dong Li" ], "first_author": "Shanshan Meng", "venue": "European Journal of Operational Research", "volume": "314", "pages": "685-702", "type": "article", "language": "en", "abstract": null, "keywords": [ "Drone", "Computer science", "Truck", "Vehicle routing problem", "Context (archaeology)", "Operations research", "Pickup", "Mathematical optimization", "Routing (electronic design automation)", "Engineering", "Mathematics", "Automotive engineering" ], "cited_by_openalex": 80, "cited_by_scopus": "73", "eid": "2-s2.0-85174807145", "pii": "S0377221723007968", "open_access_url": "https://doi.org/10.1016/j.ejor.2023.10.021", "sources": [ { "db": "openalex", "stream": "UAV", "query_id": "UAV-1" }, { "db": "openalex", "stream": "UAV", "query_id": "UAV-2" }, { "db": "scopus", "stream": "UAV", "query_id": "UAV-1" }, { "db": "scopus", "stream": "UAV", "query_id": "UAV-2" } ], "streams": [ "UAV" ], "relevance_signals": [ "UAV_NO_CTX", "TRUCK_NO_CTX" ], "auto_exclude_reason": "EC-4-topic", "screening_status": "auto_excluded", "screened_by": "auto-v1.0.0" }, { "id": "doi:10.1109/tiv.2023.3283235", "doi": "10.1109/tiv.2023.3283235", "title": "Multi-Agent Reinforcement Learning for Cooperative Air Transportation Services in City-Wide Autonomous Urban Air Mobility", "year": 2023, "authors": [ "Chanyoung Park", "Gyu Seon Kim", "Soohyun Park", "Soyi Jung", "Joongheon Kim" ], "first_author": "Chanyoung Park", "venue": "IEEE Transactions on Intelligent Vehicles", "volume": "8", "pages": "4016-4030", "type": "article", "language": "en", "abstract": "The development of urban-air-mobility (UAM) is rapidly progressing with spurs, and the demand for efficient transportation management systems is a rising need due to the multifaceted environmental uncertainties. Thus, this article proposes a novel air transportation service management algorithm based on multi-agent deep reinforcement learning (MADRL) to address the challenges of multi-UAM cooperation. Specifically, the proposed algorithm in this article is based on communication network (CommNet) method utilizing centralized training and distributed execution (CTDE) in multiple UAMs for providing efficient air transportation services to passengers collaboratively. Furthermore, this article adopts actual vertiport maps and UAM specifications for constructing realistic air transportation networks. By evaluating the performance of the proposed algorithm in data-intensive simulations, the results show that the proposed algorithm outperforms existing approaches in terms of air transportation service quality. Furthermore, there are no inferior UAMs by utilizing parameter sharing in CommNet and acentralized criticnetwork in CTDE. Therefore, it can be confirmed that the research results in this article can provide a promising solution for autonomous air transportation management systems in city-wide urban areas.", "keywords": [ "Reinforcement learning", "Computer science", "Service (business)", "Distributed computing", "Intelligent transportation system", "Transport engineering", "Operations research", "Artificial intelligence", "Engineering", "Business" ], "cited_by_openalex": 65, "cited_by_scopus": "71", "eid": "2-s2.0-85161597966", "pii": null, "open_access_url": "https://doi.org/10.1109/tiv.2023.3283235", "sources": [ { "db": "openalex", "stream": "UAV", "query_id": "UAV-3" }, { "db": "scopus", "stream": "UAV", "query_id": "UAV-3" } ], "streams": [ "UAV" ], "relevance_signals": [ "UAV_NO_CTX" ], "auto_exclude_reason": "EC-4-topic", "screening_status": "auto_excluded", "screened_by": "auto-v1.0.0" }, { "id": "doi:10.1016/j.resplu.2022.100347", "doi": "10.1016/j.resplu.2022.100347", "title": "Current summary of the evidence in drone-based emergency medical services care", "year": 2023, "authors": [ "Nathan B. Roberts", "Emily Ager", "Thomas B. Leith", "Isabel Lott", "Marlee Mason-Maready", "Tyler Nix", "Adam Laertes Gottula", "Nathaniel R. Hunt", "Christine M. Brent" ], "first_author": "Nathan B. Roberts", "venue": "Resuscitation Plus", "volume": "13", "pages": null, "type": "article", "language": "en", "abstract": "Interventions for many medical emergencies including cardiac arrests, strokes, drug overdoses, seizures, and trauma, are critically time-dependent, with faster intervention leading to improved patient outcomes. Consequently, a major focus of emergency medical services (EMS) systems and prehospital medicine has been improving the time until medical intervention in these time-sensitive emergencies, often by reducing the time required to deliver critical medical supplies to the scene of the emergency. Medical indications for using unmanned aerial vehicles, or drones, are rapidly expanding, including the delivery of time-sensitive medical supplies. To date, the drone-based delivery of a variety of time-critical medical supplies has been evaluated, generating promising data suggesting that drones can improve the time interval to intervention through the rapid delivery of automatic external defibrillators (AEDs), naloxone, antiepileptics, and blood products. Furthermore, the improvement in the time until intervention offered by drones in out-of-hospital emergencies is likely to improve patient outcomes in time-dependent medical emergencies. However, barriers and knowledge gaps remain that must be addressed. Further research demonstrating functionality in real-world scenarios, as well as research that integrates drones into the existing EMS structure will be necessary before drones can reach their full potential. The primary aim of this review is to summarize the current evidence in drone-based Emergency Medical Services Care to help identify future research directions.", "keywords": [ "Drone", "Medical emergency", "Intervention (counseling)", "Emergency medical services", "Medicine", "Psychological intervention", "(+)-Naloxone", "Emergency department", "Nursing" ], "cited_by_openalex": 84, "cited_by_scopus": "70", "eid": "2-s2.0-85145984628", "pii": "S2666520422001473", "open_access_url": "https://doi.org/10.1016/j.resplu.2022.100347", "sources": [ { "db": "openalex", "stream": "UAV", "query_id": "UAV-3" }, { "db": "scopus", "stream": "UAV", "query_id": "UAV-3" } ], "streams": [ "UAV" ], "relevance_signals": [ "UAV_NO_CTX" ], "auto_exclude_reason": "EC-4-topic", "screening_status": "auto_excluded", "screened_by": "auto-v1.0.0" }, { "id": "doi:10.1007/s10479-023-05418-y", "doi": "10.1007/s10479-023-05418-y", "title": "Collaborative truck multi-drone delivery system considering drone scheduling and en route operations", "year": 2023, "authors": [ "Teena Thomas", "Sharan Srinivas", "Chandrasekharan Rajendran" ], "first_author": "Teena Thomas", "venue": "Annals of Operations Research", "volume": "339", "pages": "693-739", "type": "article", "language": "en", "abstract": null, "keywords": [ "Drone", "Computer science", "Truck", "Scheduling (production processes)", "Heuristic", "Integer programming", "Routing (electronic design automation)", "Cluster analysis", "Job shop scheduling", "Mathematical optimization", "Operations research", "Real-time computing" ], "cited_by_openalex": 65, "cited_by_scopus": "69", "eid": "2-s2.0-85162059164", "pii": null, "open_access_url": "https://doi.org/10.1007/s10479-023-05418-y", "sources": [ { "db": "openalex", "stream": "UAV", "query_id": "UAV-1" }, { "db": "scopus", "stream": "UAV", "query_id": "UAV-1" } ], "streams": [ "UAV" ], "relevance_signals": [ "UAV_NO_CTX", "TRUCK_NO_CTX" ], "auto_exclude_reason": "EC-4-topic", "screening_status": "auto_excluded", "screened_by": "auto-v1.0.0" }, { "id": "doi:10.1016/j.seta.2023.103202", "doi": "10.1016/j.seta.2023.103202", "title": "Wind dynamic and energy-efficiency path planning for unmanned aerial vehicles in the lower-level airspace and urban air mobility context", "year": 2023, "authors": [ "Y.Y. Chan", "Kam K.H. Ng", "C.K.M. Lee", "Li‐Ta Hsu", "K. L. Keung" ], "first_author": "Y.Y. Chan", "venue": "Sustainable Energy Technologies and Assessments", "volume": "57", "pages": null, "type": "article", "language": "en", "abstract": null, "keywords": [ "Voronoi diagram", "Context (archaeology)", "Energy consumption", "Computer science", "Dijkstra's algorithm", "Particle swarm optimization", "Shortest path problem", "Path (computing)", "Mathematical optimization", "Real-time computing", "Engineering", "Algorithm" ], "cited_by_openalex": 46, "cited_by_scopus": "69", "eid": "2-s2.0-85151654317", "pii": "S2213138823001959", "open_access_url": "https://doi.org/10.1016/j.seta.2023.103202", "sources": [ { "db": "openalex", "stream": "UAV", "query_id": "UAV-1" }, { "db": "scopus", "stream": "UAV", "query_id": "UAV-1" } ], "streams": [ "UAV" ], "relevance_signals": [ "UAV_NO_CTX" ], "auto_exclude_reason": "EC-4-topic", "screening_status": "auto_excluded", "screened_by": "auto-v1.0.0" }, { "id": "doi:10.1016/j.eswa.2023.121473", "doi": "10.1016/j.eswa.2023.121473", "title": "Computational approaches for solving two-echelon vehicle and UAV routing problems for post-disaster humanitarian operations", "year": 2023, "authors": [ "Tasnim Ibn Faiz", "Chrysafis Vogiatzis", "Md. Noor‐E‐Alam" ], "first_author": "Tasnim Ibn Faiz", "venue": "Expert Systems with Applications", "volume": "237", "pages": null, "type": "article", "language": "en", "abstract": null, "keywords": [ "Drone", "Vehicle routing problem", "Truck", "Computer science", "Operations research", "Humanitarian aid", "Population", "Routing (electronic design automation)", "Humanitarian Logistics", "Service (business)", "Computer security", "Business" ], "cited_by_openalex": 72, "cited_by_scopus": "68", "eid": "2-s2.0-85171424467", "pii": "S0957417423019759", "open_access_url": "https://doi.org/10.1016/j.eswa.2023.121473", "sources": [ { "db": "openalex", "stream": "TRUCK", "query_id": "TRUCK-3" }, { "db": "openalex", "stream": "UAV", "query_id": "UAV-2" }, { "db": "scopus", "stream": "TRUCK", "query_id": "TRUCK-3" }, { "db": "scopus", "stream": "UAV", "query_id": "UAV-2" } ], "streams": [ "TRUCK", "UAV" ], "relevance_signals": [ "UAV_NO_CTX", "TRUCK_NO_CTX" ], "auto_exclude_reason": "EC-4-topic", "screening_status": "auto_excluded", "screened_by": "auto-v1.0.0" }, { "id": "doi:10.1016/j.trb.2022.12.007", "doi": "10.1016/j.trb.2022.12.007", "title": "Exact solution approaches for the minimum total cost traveling salesman problem with multiple drones", "year": 2023, "authors": [ "Gizem Özbaygın Tiniç", "Oya Ekin Karaşan", "Bahar Y. Kara", "James F. Campbell", "Aysu Ozel" ], "first_author": "Gizem Özbaygın Tiniç", "venue": "Transportation Research Part B Methodological", "volume": "168", "pages": "81-123", "type": "article", "language": "en", "abstract": null, "keywords": [ "Travelling salesman problem", "Drone", "Mathematical optimization", "Traveling purchaser problem", "2-opt", "Mathematics", "Computer science", "Biology" ], "cited_by_openalex": 71, "cited_by_scopus": "67", "eid": "2-s2.0-85145772080", "pii": "S0191261522002090", "open_access_url": "https://doi.org/10.1016/j.trb.2022.12.007", "sources": [ { "db": "openalex", "stream": "TRUCK", "query_id": "TRUCK-1" }, { "db": "openalex", "stream": "UAV", "query_id": "UAV-1" }, { "db": "scopus", "stream": "TRUCK", "query_id": "TRUCK-1" }, { "db": "scopus", "stream": "UAV", "query_id": "UAV-1" } ], "streams": [ "TRUCK", "UAV" ], "relevance_signals": [ "UAV_NO_CTX" ], "auto_exclude_reason": "EC-4-topic", "screening_status": "auto_excluded", "screened_by": "auto-v1.0.0" }, { "id": "doi:10.1109/tits.2023.3271430", "doi": "10.1109/tits.2023.3271430", "title": "Logistics in the Sky: A Two-Phase Optimization Approach for the Drone Package Pickup and Delivery System", "year": 2023, "authors": [ "Fangyu Hong", "Guohua Wu", "Qizhang Luo", "Huan Liu", "Xiaoping Fang", "Witold Pedrycz" ], "first_author": "Fangyu Hong", "venue": "IEEE Transactions on Intelligent Transportation Systems", "volume": "24", "pages": "9175-9190", "type": "article", "language": "en", "abstract": "The application of drones in last-mile distribution has been a contentious research topic in recent years. Existing urban distribution modes mostly depend on trucks. This paper proposes a novel package pickup and delivery mode and system wherein multiple drones collaborate with automatic devices. The proposed mode uses free areas on top of residential buildings to set automatic devices as delivery and pickup points of packages, and employs drones to transport packages between buildings and depots. The integrated scheduling problem of package drop-pickup considering${m}$-drones,${m}$-depots, and${m}$-customers is crucial for the system. Therefore, we propose a simulated-annealing-based two-phase optimization (SATO) approach to solve this problem. In the first phase, tasks are allocated to depots for serving, such that the initial problem is decomposed into multiple single-depot scheduling problems with${m}$-drone. In the second phase, considering the drone capability and task demand constraints, we generated a route-planning scheme for drones in each depot. Concurrently, an improved variable neighborhood descent (IVND) algorithm was designed in the first phase to reallocate tasks, and a local search (LS) algorithm was proposed to search for high-quality solutions in the second phase. Finally, extensive experiments and comparative studies were conducted to verify the effectiveness of the proposed approach.", "keywords": [ "Drone", "Notation", "Pickup", "Simulated annealing", "Computer science", "Mathematics", "Algorithm", "Artificial intelligence", "Arithmetic" ], "cited_by_openalex": 64, "cited_by_scopus": "67", "eid": "2-s2.0-85159814628", "pii": null, "open_access_url": "https://doi.org/10.1109/tits.2023.3271430", "sources": [ { "db": "openalex", "stream": "TRUCK", "query_id": "TRUCK-2" }, { "db": "openalex", "stream": "TRUCK", "query_id": "TRUCK-3" }, { "db": "openalex", "stream": "UAV", "query_id": "UAV-1" }, { "db": "scopus", "stream": "TRUCK", "query_id": "TRUCK-3" }, { "db": "scopus", "stream": "UAV", "query_id": "UAV-1" } ], "streams": [ "TRUCK", "UAV" ], "relevance_signals": [ "UAV", "TRUCK" ], "auto_exclude_reason": null, "screening_status": "pending_human_screening", "screened_by": "auto-v1.0.0" }, { "id": "doi:10.1016/j.spc.2023.10.012", "doi": "10.1016/j.spc.2023.10.012", "title": "Strategy planning for sustainable biodiesel supply chain produced from waste animal fat", "year": 2023, "authors": [ "Shubham Kumar Singh", "Anand Chauhan", "Biswajit Sarkar" ], "first_author": "Shubham Kumar Singh", "venue": "Sustainable Production and Consumption", "volume": "44", "pages": "263-281", "type": "article", "language": "en", "abstract": null, "keywords": [ "Biodiesel", "Supply chain", "Business", "Waste management", "Animal waste", "Sustainability", "Environmental science", "Engineering", "Chemistry", "Biology", "Marketing", "Catalysis" ], "cited_by_openalex": 63, "cited_by_scopus": "67", "eid": "2-s2.0-85181086296", "pii": "S2352550923002427", "open_access_url": "https://doi.org/10.1016/j.spc.2023.10.012", "sources": [ { "db": "openalex", "stream": "TRUCK", "query_id": "TRUCK-3" }, { "db": "scopus", "stream": "TRUCK", "query_id": "TRUCK-3" } ], "streams": [ "TRUCK" ], "relevance_signals": [ "NO_TECHNOLOGY_MATCH" ], "auto_exclude_reason": "EC-4-topic", "screening_status": "auto_excluded", "screened_by": "auto-v1.0.0" }, { "id": "doi:10.1109/tem.2023.3299693", "doi": "10.1109/tem.2023.3299693", "title": "Dynamic Truck–UAV Collaboration and Integrated Route Planning for Resilient Urban Emergency Response", "year": 2023, "authors": [ "Yuying Long", "Gangyan Xu", "Jinqiu Zhao", "Binglei Xie", "Meng Fang" ], "first_author": "Yuying Long", "venue": "IEEE Transactions on Engineering Management", "volume": "71", "pages": "9826-9838", "type": "article", "language": "en", "abstract": "Efficient urban emergency response is vital for saving lives and property after disasters. However, urban emergency response is challenging because it involves many demands, with a very tight time for making decisions, and is frequently threatened by the disruption of road networks and infrastructures. Taking these challenges into consideration, this article proposes a dynamic truck-UAV (DTU) collaboration strategy to realize efficient and resilient urban emergency response. Specifically, a DTU collaboration strategy is first proposed based on the characteristics of urban emergency management. Then, an integrated truck-UAV collaborative scheduling model is developed and indicated to be an NP-hard problem. Then, a tabu search-based integrated (TSI) scheduling algorithm is developed, with several tailored local search operators and a recursion-based evaluation (RE) algorithm. Finally, comprehensive experiments are conducted to demonstrate the superiority of our proposed strategy over existing truck-UAV collaboration strategies and verify the performance of our proposed solution algorithm.Managerial Relevance Statement—This article proposes a dynamic truck-UAV (DTU) collaboration strategy and a corresponding route planning method for urban emergency response. The findings of this work demonstrate that emergency management agencies can utilize the DTU collaboration strategy for efficient emergency response in urban areas with high-density road networks. Meanwhile, the emergency response under this strategy is resilient to cope with different degrees of road network disruptions. In addition, the DTU collaboration strategy shows a distinct improvement over the parallel and truck-UAV flying sidekick strategies in large-scale emergency response scenarios, and it will perform better when demand density increases. Furthermore, the proposed integrated scheduling algorithm is demonstrated to be suitable and efficient for solving the routing problems associated with the DTU collaboration strategy.", "keywords": [ "Truck", "Computer science", "Emergency response", "Scheduling (production processes)", "Emergency management", "Operations research", "Recursion (computer science)", "Transport engineering", "Engineering", "Operations management", "Algorithm" ], "cited_by_openalex": 75, "cited_by_scopus": "67", "eid": "2-s2.0-85168666257", "pii": null, "open_access_url": "https://doi.org/10.1109/tem.2023.3299693", "sources": [ { "db": "openalex", "stream": "UAV", "query_id": "UAV-2" }, { "db": "scopus", "stream": "UAV", "query_id": "UAV-2" } ], "streams": [ "UAV" ], "relevance_signals": [ "UAV_NO_CTX", "TRUCK_NO_CTX" ], "auto_exclude_reason": "EC-4-topic", "screening_status": "auto_excluded", "screened_by": "auto-v1.0.0" }, { "id": "doi:10.1016/j.swevo.2023.101245", "doi": "10.1016/j.swevo.2023.101245", "title": "A robust algorithm based on Differential Evolution with local search for the Capacitated Vehicle Routing Problem", "year": 2023, "authors": [ "Souza I.P." ], "first_author": "Souza I.P.", "venue": "Swarm and Evolutionary Computation", "volume": "77", "pages": null, "type": "Article", "language": null, "abstract": null, "keywords": [], "cited_by_openalex": 0, "cited_by_scopus": "66", "eid": "2-s2.0-85146423156", "pii": "S2210650223000196", "open_access_url": null, "sources": [ { "db": "scopus", "stream": "TRUCK", "query_id": "TRUCK-2" } ], "streams": [ "TRUCK" ], "relevance_signals": [ "NO_TECHNOLOGY_MATCH" ], "auto_exclude_reason": "EC-4-topic", "screening_status": "auto_excluded", "screened_by": "auto-v1.0.0" }, { "id": "doi:10.3390/en16062617", "doi": "10.3390/en16062617", "title": "Sustainable Urban Freight for Energy-Efficient Smart Cities—Systematic Literature Review", "year": 2023, "authors": [ "Paulina Golińska-Dawson", "Kanchana Sethanan" ], "first_author": "Paulina Golińska-Dawson", "venue": "Energies", "volume": "16", "pages": null, "type": "review", "language": "en", "abstract": "Smart cities need energy-efficient and low-emission transportation for people and goods. Most studies focus on sustainable urban-transportation systems for passengers. Freight transportation in cities has increased significantly during the COVID-19 pandemic, leading to greenhouse gases emissions and negative externalities, such as traffic congestion. The purpose of this paper is to identify through a systematic literature review which innovations (hardware and software) applied by logistics service providers (LSPs) in sustainable urban freight (SUF) are suitable to support the transition to energy-efficient smart cities. We propose to classify the existing innovations in last-mile delivery for SUF into categories: (1) urban freight consolidation and/or trans-shipment; (2) the Consumer as a Service Provider (CaaSP); (3) choice of transportation modes. We introduce the concept of CaaSP as an innovative solution in last-mile delivery (LMD), where customers take over some transport operations with the use of smart technologies, and thus reduce the energy demand. We consider the modes of transportation, such as: drones, autonomous delivery robots, autonomous vehicles, cargo bikes (including e-cargo bikes, e-tricycles), electric vehicles (mainly vans), and combined passenger-and-cargo transportation rapid-transit systems. From the analyzed dataset, we find that energy-efficiency in smart cities can be improved by the consolidation of parcels in micro-depots, parcel lockers, and mobile depots. We analyze smart technologies (the Internet of things, big data, artificial intelligence, and digital twins), which enable energy efficiency by reducing the energy demand (fuel) of SUF, due to better operational planning and infrastructure sharing by logistics service providers. We propose a new IEE matrix as an actionable tool for the classification of innovations applied by LSPs in SUF, according to the level of their interconnectivity and energy efficiency. Additionally, this paper contributes to the theory by exploring possible future research directions for SUF in energy-efficient smart cities.", "keywords": [ "Sustainable transport", "Transport engineering", "Last mile (transportation)", "Efficient energy use", "Smart city", "City logistics", "Traffic congestion", "Service provider", "Service (business)", "Business", "Environmental economics", "Computer science" ], "cited_by_openalex": 65, "cited_by_scopus": "65", "eid": "2-s2.0-85151425235", "pii": null, "open_access_url": "https://www.mdpi.com/1996-1073/16/6/2617/pdf?version=1678442722", "sources": [ { "db": "openalex", "stream": "UAV", "query_id": "UAV-1" }, { "db": "scopus", "stream": "UAV", "query_id": "UAV-1" } ], "streams": [ "UAV" ], "relevance_signals": [ "UAV" ], "auto_exclude_reason": null, "screening_status": "pending_human_screening", "screened_by": "auto-v1.0.0" }, { "id": "doi:10.3390/drones7040263", "doi": "10.3390/drones7040263", "title": "Investigation of Autonomous Multi-UAV Systems for Target Detection in Distributed Environment: Current Developments and Open Challenges", "year": 2023, "authors": [ "Adoni W.Y.H." ], "first_author": "Adoni W.Y.H.", "venue": "Drones", "volume": "7", "pages": null, "type": "Review", "language": null, "abstract": null, "keywords": [], "cited_by_openalex": 0, "cited_by_scopus": "65", "eid": "2-s2.0-85154023783", "pii": null, "open_access_url": null, "sources": [ { "db": "scopus", "stream": "UAV", "query_id": "UAV-2" } ], "streams": [ "UAV" ], "relevance_signals": [ "UAV_NO_CTX" ], "auto_exclude_reason": "EC-4-topic", "screening_status": "auto_excluded", "screened_by": "auto-v1.0.0" }, { "id": "doi:10.1016/j.swevo.2023.101295", "doi": "10.1016/j.swevo.2023.101295", "title": "Solving electric vehicle–drone routing problem using memetic algorithm", "year": 2023, "authors": [ "Setyo Tri Windras Mara", "Ruhul Amin Sarker", "Daryl Essam", "Saber Mohammed Elsayed" ], "first_author": "Setyo Tri Windras Mara", "venue": "Swarm and Evolutionary Computation", "volume": "79", "pages": null, "type": "article", "language": "en", "abstract": null, "keywords": [ "Drone", "Memetic algorithm", "Computer science", "Routing (electronic design automation)", "Set (abstract data type)", "Electric vehicle", "Vehicle routing problem", "Integer programming", "Mathematical optimization", "Battery (electricity)", "Algorithm", "Local search (optimization)" ], "cited_by_openalex": 64, "cited_by_scopus": "63", "eid": "2-s2.0-85151639727", "pii": "S2210650223000688", "open_access_url": "https://doi.org/10.1016/j.swevo.2023.101295", "sources": [ { "db": "openalex", "stream": "UAV", "query_id": "UAV-1" }, { "db": "openalex", "stream": "UAV", "query_id": "UAV-2" }, { "db": "scopus", "stream": "UAV", "query_id": "UAV-1" }, { "db": "scopus", "stream": "UAV", "query_id": "UAV-2" } ], "streams": [ "UAV" ], "relevance_signals": [ "UAV_NO_CTX" ], "auto_exclude_reason": "EC-4-topic", "screening_status": "auto_excluded", "screened_by": "auto-v1.0.0" }, { "id": "doi:10.1016/j.eswa.2023.120979", "doi": "10.1016/j.eswa.2023.120979", "title": "Green vehicle routing using mixed fleets for cold chain distribution", "year": 2023, "authors": [ "Wanru Chen", "Dezhi Zhang", "Tom Van Woensel", "Guangming Xu", "Guo Jing" ], "first_author": "Wanru Chen", "venue": "Expert Systems with Applications", "volume": "233", "pages": null, "type": "article", "language": "en", "abstract": null, "keywords": [ "Vehicle routing problem", "Computer science", "Energy consumption", "Mathematical optimization", "Automotive engineering", "Green logistics", "Routing (electronic design automation)", "Environmental economics", "Mathematics", "Engineering", "Embedded system", "Economics" ], "cited_by_openalex": 59, "cited_by_scopus": "59", "eid": "2-s2.0-85165638686", "pii": "S0957417423014811", "open_access_url": "https://pure.tue.nl/ws/files/309283747/1-s2.0-S0957417423014811-main.pdf", "sources": [ { "db": "openalex", "stream": "TRUCK", "query_id": "TRUCK-2" }, { "db": "scopus", "stream": "TRUCK", "query_id": "TRUCK-2" } ], "streams": [ "TRUCK" ], "relevance_signals": [ "NO_TECHNOLOGY_MATCH" ], "auto_exclude_reason": "EC-4-topic", "screening_status": "auto_excluded", "screened_by": "auto-v1.0.0" }, { "id": "doi:10.1016/j.techsoc.2023.102203", "doi": "10.1016/j.techsoc.2023.102203", "title": "Urban drone adoption: Addressing technological, privacy and task–technology fit concerns", "year": 2023, "authors": [ "Le Yi Koh", "Jia Yi Lee", "Xueqin Wang", "Kum Fai Yuen" ], "first_author": "Le Yi Koh", "venue": "Technology in Society", "volume": "72", "pages": null, "type": "article", "language": "en", "abstract": null, "keywords": [ "Drone", "Structural equation modeling", "Task (project management)", "Technology acceptance model", "Last mile (transportation)", "Perception", "Pandemic", "Theory of planned behavior", "Business", "Perspective (graphical)", "Marketing", "Internet privacy" ], "cited_by_openalex": 65, "cited_by_scopus": "59", "eid": "2-s2.0-85147192547", "pii": "S0160791X23000088", "open_access_url": "https://doi.org/10.1016/j.techsoc.2023.102203", "sources": [ { "db": "openalex", "stream": "UAV", "query_id": "UAV-1" }, { "db": "scopus", "stream": "UAV", "query_id": "UAV-1" } ], "streams": [ "UAV" ], "relevance_signals": [ "UAV" ], "auto_exclude_reason": null, "screening_status": "pending_human_screening", "screened_by": "auto-v1.0.0" }, { "id": "doi:10.1016/j.cie.2023.109179", "doi": "10.1016/j.cie.2023.109179", "title": "Optimal delivery route planning for a fleet of heterogeneous drones: A rescheduling-based genetic algorithm approach", "year": 2023, "authors": [ "Xudong Wang", "Zeyu Liu", "Xueping Li" ], "first_author": "Xudong Wang", "venue": "Computers & Industrial Engineering", "volume": "179", "pages": null, "type": "article", "language": "en", "abstract": null, "keywords": [ "Drone", "Computer science", "Scheduling (production processes)", "Vehicle routing problem", "Genetic algorithm", "Knapsack problem", "Mathematical optimization", "Shortest path problem", "Job shop scheduling", "Integer programming", "Operations research", "Travelling salesman problem" ], "cited_by_openalex": 58, "cited_by_scopus": "59", "eid": "2-s2.0-85151023637", "pii": "S0360835223002036", "open_access_url": "https://doi.org/10.1016/j.cie.2023.109179", "sources": [ { "db": "openalex", "stream": "UAV", "query_id": "UAV-2" }, { "db": "scopus", "stream": "UAV", "query_id": "UAV-2" } ], "streams": [ "UAV" ], "relevance_signals": [ "UAV_NO_CTX" ], "auto_exclude_reason": "EC-4-topic", "screening_status": "auto_excluded", "screened_by": "auto-v1.0.0" }, { "id": "doi:10.1016/j.eswa.2023.122483", "doi": "10.1016/j.eswa.2023.122483", "title": "Multi-Depot Vehicle Routing Problem with Drones: Mathematical formulation, solution algorithm and experiments", "year": 2023, "authors": [ "Petr Stodola", "Libor Kutěj" ], "first_author": "Petr Stodola", "venue": "Expert Systems with Applications", "volume": "241", "pages": null, "type": "article", "language": "en", "abstract": "The use of Unmanned Aerial Vehicles (UAVs) is expected to grow rapidly in the coming years, driven by technological advancements, cost-effectiveness, and the increasing demand for faster and more efficient delivery solutions. This article deals with the mathematical formulation of the Multi-Depot Vehicle Routing Problem with Drones (MDVRP-D), whereby a set of heterogeneous trucks, each paired with a UAV, are located in different depots. Both types of vehicles deliver goods to customers; UAVs are dispatched from trucks while en route to make the last-mile delivery. A metaheuristic algorithm based on the Ant Colony Optimization (ACO) principle is proposed as the solution. This algorithm has been adapted for this newly proposed problem; the novel mechanics include the probabilistic decision to dispatch an UAV, the selection of a customer to be served, and local search optimization. Extensive computational experiments are performed to verify the proposed algorithm. First, its performance is compared with Adaptive Large Neighborhood Search (ALNS) metaheuristics on a set of Vehicle Routing Problem with Drones (VRP-D) benchmarks. A set of various benchmark instances are subsequently proposed for the newly formulated MDVRP-D (differing in complexity and graph topology). Finally, the behavior of the proposed algorithm is thoroughly analyzed, especially in respect of features connected with UAVs. The findings presented in this article provide valuable contributions to the NP-hard models related to the Travelling Salesman Problem (TSP) and to the very popular ACO-based algorithms.", "keywords": [ "Vehicle routing problem", "Computer science", "Travelling salesman problem", "Ant colony optimization algorithms", "Metaheuristic", "Mathematical optimization", "Drone", "Benchmark (surveying)", "Truck", "Set (abstract data type)", "Algorithm", "Probabilistic logic" ], "cited_by_openalex": 47, "cited_by_scopus": "58", "eid": "2-s2.0-85179010514", "pii": "S0957417423029858", "open_access_url": "https://doi.org/10.1016/j.eswa.2023.122483", "sources": [ { "db": "openalex", "stream": "TRUCK", "query_id": "TRUCK-1" }, { "db": "openalex", "stream": "TRUCK", "query_id": "TRUCK-3" }, { "db": "openalex", "stream": "UAV", "query_id": "UAV-1" }, { "db": "openalex", "stream": "UAV", "query_id": "UAV-2" }, { "db": "scopus", "stream": "TRUCK", "query_id": "TRUCK-1" }, { "db": "scopus", "stream": "TRUCK", "query_id": "TRUCK-3" }, { "db": "scopus", "stream": "UAV", "query_id": "UAV-1" }, { "db": "scopus", "stream": "UAV", "query_id": "UAV-2" } ], "streams": [ "TRUCK", "UAV" ], "relevance_signals": [ "UAV", "TRUCK" ], "auto_exclude_reason": null, "screening_status": "pending_human_screening", "screened_by": "auto-v1.0.0" }, { "id": "doi:10.1016/j.tra.2023.103688", "doi": "10.1016/j.tra.2023.103688", "title": "Modular vehicle routing for combined passenger and freight transport", "year": 2023, "authors": [ "Jonas Hatzenbühler", "Erik Jenelius", "Győző Gidófalvi", "Oded Cats" ], "first_author": "Jonas Hatzenbühler", "venue": "Transportation Research Part A Policy and Practice", "volume": "173", "pages": null, "type": "article", "language": "en", "abstract": "This study investigates the potential of modular vehicle concepts and consolidation to increase the efficiency of urban freight and passenger transport. Modularity is achieved by connecting multiple vehicles together to form a platoon. Consolidation is realized by integrating passenger and freight demand in the routing problem. Vehicles are specific for each demand type but can be connected freely, allowing the transport of multiple demand types in the same platoon. The routing problem formulation considers travel time costs, travel distance costs, fleet size costs, and unserved requests costs. The operations are modeled in a novel modular multi-purpose pickup and delivery problem (MMP-PDP) which is solved using CPLEX and Adaptive Large Neighborhood Search (ALNS). In an extensive scenario study, the potential of the modular vehicle type is explored for different spatial and temporal demand distributions. A parameter study on vehicle capacity, vehicle range and platoon cost saving is performed to assess their influence on efficiency. The experiments indicate a cost saving of 48% due to modularity and an additional 9% due to consolidation. The reduction mainly stems from reduced operating costs and reduced trip duration, while the same number of requests can be served in all cases. Empty vehicle kilometers are reduced by more than 60% by consolidation and modularity. A large-scale case study in Stockholm highlights the practical applicability of the modular transport system. The proposed model and optimization framework can be used by companies and policy makers to identify required fleet sizes, optimal vehicle routes and cost savings due to different types of operation and vehicle technology.", "keywords": [ "Modular design", "Vehicle routing problem", "Transport engineering", "Platoon", "Computer science", "Consolidation (business)", "Operations research", "Routing (electronic design automation)", "Engineering", "Business" ], "cited_by_openalex": 53, "cited_by_scopus": "58", "eid": "2-s2.0-85154022246", "pii": "S0965856423001088", "open_access_url": "https://doi.org/10.1016/j.tra.2023.103688", "sources": [ { "db": "openalex", "stream": "TRUCK", "query_id": "TRUCK-2" }, { "db": "scopus", "stream": "TRUCK", "query_id": "TRUCK-2" } ], "streams": [ "TRUCK" ], "relevance_signals": [ "NO_TECHNOLOGY_MATCH" ], "auto_exclude_reason": "EC-4-topic", "screening_status": "auto_excluded", "screened_by": "auto-v1.0.0" }, { "id": "doi:10.1016/j.trb.2023.03.007", "doi": "10.1016/j.trb.2023.03.007", "title": "Joint optimization of parcel allocation and crowd routing for crowdsourced last-mile delivery", "year": 2023, "authors": [ "Li Wang", "Min Xu", "Hu Qin" ], "first_author": "Li Wang", "venue": "Transportation Research Part B Methodological", "volume": "171", "pages": "111-135", "type": "article", "language": "en", "abstract": null, "keywords": [ "Last mile (transportation)", "Column generation", "Computer science", "Optimization problem", "Operations research", "Vehicle routing problem", "Routing (electronic design automation)", "Joint (building)", "Crowdsourcing", "Mile", "Scale (ratio)", "Time horizon" ], "cited_by_openalex": 57, "cited_by_scopus": "58", "eid": "2-s2.0-85151048408", "pii": "S0191261523000504", "open_access_url": "http://hdl.handle.net/10397/98183", "sources": [ { "db": "openalex", "stream": "TRUCK", "query_id": "TRUCK-2" }, { "db": "scopus", "stream": "TRUCK", "query_id": "TRUCK-2" } ], "streams": [ "TRUCK" ], "relevance_signals": [ "NO_TECHNOLOGY_MATCH" ], "auto_exclude_reason": "EC-4-topic", "screening_status": "auto_excluded", "screened_by": "auto-v1.0.0" }, { "id": "doi:10.1142/s2301385024300014", "doi": "10.1142/s2301385024300014", "title": "A Review on the Truck and Drone Cooperative Delivery Problem", "year": 2023, "authors": [ "Ruowei Zhang", "Lihua Dou", "Bin Xin", "Chen Chen", "Fang Yi Deng", "Jie Chen" ], "first_author": "Ruowei Zhang", "venue": "Unmanned Systems", "volume": "12", "pages": "823-847", "type": "article", "language": "en", "abstract": "As an emerging delivery style in logistics, the cooperation between trucks and drones can significantly improve the efficiency of parcel delivery, especially in some typical scenes, such as mountainous areas, high buildings, or post-disaster material delivery. In recent years, the truck and drone cooperative delivery problem (TDCDP) has attracted more and more attention from logistic research and commercial sectors. This paper proposes a taxonomy for TDCDP and systematically summarizes the related research. First, the impacts of changes in customers and environments on truck and drone delivery modes are analyzed in detail. Second, by using the proposed taxonomy, the delivery modes in TDCDP are classified into four types: parallel delivery, mixed delivery, drone delivery with truck-assisting, and truck delivery with drone-assisting. The roles of trucks and drones are analyzed in different scenes. Then, for different delivery modes, this paper summarizes the TDCDP models and analyzes the common assumptions, constraints, and objective functions. This paper also combs the exact algorithms, heuristic algorithms, and hybrid algorithms used to solve different kinds of TDCDP. Finally, the current research status and future research trends are discussed, and the challenges of TDCDP are highlighted.", "keywords": [ "Drone", "Truck", "Computer science", "Heuristic", "Operations research", "Engineering", "Artificial intelligence", "Aerospace engineering" ], "cited_by_openalex": 60, "cited_by_scopus": "57", "eid": "2-s2.0-85150819663", "pii": null, "open_access_url": "https://doi.org/10.1142/s2301385024300014", "sources": [ { "db": "openalex", "stream": "UAV", "query_id": "UAV-1" }, { "db": "scopus", "stream": "TRUCK", "query_id": "TRUCK-1" }, { "db": "scopus", "stream": "UAV", "query_id": "UAV-1" } ], "streams": [ "TRUCK", "UAV" ], "relevance_signals": [ "UAV", "TRUCK" ], "auto_exclude_reason": null, "screening_status": "pending_human_screening", "screened_by": "auto-v1.0.0" }, { "id": "doi:10.3390/drones7070448", "doi": "10.3390/drones7070448", "title": "UAV Ad Hoc Network Routing Algorithms in Space–Air–Ground Integrated Networks: Challenges and Directions", "year": 2023, "authors": [ "Lu Y." ], "first_author": "Lu Y.", "venue": "Drones", "volume": "7", "pages": null, "type": "Review", "language": null, "abstract": null, "keywords": [], "cited_by_openalex": 0, "cited_by_scopus": "56", "eid": "2-s2.0-85166341624", "pii": null, "open_access_url": null, "sources": [ { "db": "scopus", "stream": "UAV", "query_id": "UAV-2" } ], "streams": [ "UAV" ], "relevance_signals": [ "UAV_NO_CTX" ], "auto_exclude_reason": "EC-4-topic", "screening_status": "auto_excluded", "screened_by": "auto-v1.0.0" }, { "id": "doi:10.1016/j.cie.2023.109563", "doi": "10.1016/j.cie.2023.109563", "title": "A humanitarian vehicle routing problem synchronized with drones in time-varying weather conditions", "year": 2023, "authors": [ "Yichen Lu", "Jun Yang", "Chao Yang" ], "first_author": "Yichen Lu", "venue": "Computers & Industrial Engineering", "volume": "184", "pages": null, "type": "article", "language": "en", "abstract": null, "keywords": [ "Drone", "Computer science", "Duration (music)", "Routing (electronic design automation)", "Truck", "Operations research", "Genetic algorithm", "Resilience (materials science)", "Set (abstract data type)", "Extreme weather", "Mathematical optimization", "Engineering" ], "cited_by_openalex": 54, "cited_by_scopus": "55", "eid": "2-s2.0-85170409167", "pii": "S0360835223005879", "open_access_url": "https://doi.org/10.1016/j.cie.2023.109563", "sources": [ { "db": "openalex", "stream": "UAV", "query_id": "UAV-2" }, { "db": "scopus", "stream": "UAV", "query_id": "UAV-2" } ], "streams": [ "UAV" ], "relevance_signals": [ "UAV_NO_CTX", "TRUCK_NO_CTX" ], "auto_exclude_reason": "EC-4-topic", "screening_status": "auto_excluded", "screened_by": "auto-v1.0.0" }, { "id": "doi:10.1109/jiot.2023.3284056", "doi": "10.1109/jiot.2023.3284056", "title": "IoMT-Assisted Medical Vehicle Routing Based on UAV-Borne Human Crowd Sensing and Deep Learning in Smart Cities", "year": 2023, "authors": [ "Khosro Rezaee", "Mohammad R. Khosravi", "Hani H. Attar", "Varun G. Menon", "Mohammad Ayoub Khan", "Haitham Issa", "Lianyong Qi" ], "first_author": "Khosro Rezaee", "venue": "IEEE Internet of Things Journal", "volume": "10", "pages": "18529-18536", "type": "article", "language": "en", "abstract": "An emergency medical vehicle can save the patient’s life if it arrives at his location as quickly as possible. Unmanned aerial vehicles (UAVs) offer wide visibility and mobility, making them a viable choice for smart cities and intelligent transportation systems (ITSs) as edge devices for the Internet of Things (IoT). Based on population behavior and overcrowding, video surveillance through the Internet of multimedia things (IoMT) and public safety in smart cities can help determine the most efficient routes for emergency medical vehicles. This study investigates UAV overcrowding and abnormal population activity patterns, which affect the flow of emergency medical vehicles and traffic flow. Moreover, the purpose of this article is to analyze received video frames from UAVs in order to identify the most efficient route for emergency medical vehicles in smart cities to transfer patients in the event of abnormalities or overcrowding. In order to detect overcrowding on the streets, a hybrid Cascade-ResNet is utilized, which detects congestion based on many data points. Based on our proposed approach, we achieve a 2.5% improvement over similar methods because it is effective, flexible, and accurate. UAV video frames can be used to communicate with emergency response vehicles, to monitor traffic congestion, and to monitor other aspects of smart city life.", "keywords": [ "Computer science", "Routing (electronic design automation)", "Deep learning", "Computer network", "Artificial intelligence", "Real-time computing", "Human–computer interaction" ], "cited_by_openalex": 55, "cited_by_scopus": "55", "eid": "2-s2.0-85162649478", "pii": null, "open_access_url": "https://doi.org/10.1109/jiot.2023.3284056", "sources": [ { "db": "openalex", "stream": "UAV", "query_id": "UAV-2" }, { "db": "scopus", "stream": "UAV", "query_id": "UAV-2" } ], "streams": [ "UAV" ], "relevance_signals": [ "UAV_NO_CTX" ], "auto_exclude_reason": "EC-4-topic", "screening_status": "auto_excluded", "screened_by": "auto-v1.0.0" }, { "id": "doi:10.1016/j.aei.2023.102071", "doi": "10.1016/j.aei.2023.102071", "title": "The time-dependent electric vehicle routing problem with drone and synchronized mobile battery swapping", "year": 2023, "authors": [ "Xiaoxue Ren", "Houming Fan", "Houming Fan", "Ming-Xin Bao", "Hao Fan", "Hao Fan" ], "first_author": "Xiaoxue Ren", "venue": "Advanced Engineering Informatics", "volume": "57", "pages": null, "type": "article", "language": "en", "abstract": null, "keywords": [ "Battery (electricity)", "Lagrangian relaxation", "Computer science", "Charging station", "Electric vehicle", "Energy consumption", "Real-time computing", "Engineering", "Automotive engineering", "Mathematical optimization", "Electrical engineering" ], "cited_by_openalex": 51, "cited_by_scopus": "53", "eid": "2-s2.0-85163435648", "pii": "S1474034623001994", "open_access_url": "https://doi.org/10.1016/j.aei.2023.102071", "sources": [ { "db": "openalex", "stream": "UAV", "query_id": "UAV-1" }, { "db": "openalex", "stream": "UAV", "query_id": "UAV-2" }, { "db": "scopus", "stream": "UAV", "query_id": "UAV-1" }, { "db": "scopus", "stream": "UAV", "query_id": "UAV-2" } ], "streams": [ "UAV" ], "relevance_signals": [ "UAV_NO_CTX" ], "auto_exclude_reason": "EC-4-topic", "screening_status": "auto_excluded", "screened_by": "auto-v1.0.0" }, { "id": "doi:10.1016/j.trc.2023.104401", "doi": "10.1016/j.trc.2023.104401", "title": "Reinforcement learning for humanitarian relief distribution with trucks and UAVs under travel time uncertainty", "year": 2023, "authors": [ "Robert van Steenbergen", "Martijn Mes", "Wouter van Heeswijk" ], "first_author": "Robert van Steenbergen", "venue": "Transportation Research Part C Emerging Technologies", "volume": "157", "pages": null, "type": "article", "language": "en", "abstract": "Effective humanitarian relief operations are challenging in the aftermath of disasters, as trucks are often faced with considerable travel time uncertainties due to damaged transportation networks. Efficient deployment of Unmanned Aerial Vehicles (UAVs) potentially mitigates this problem, supplementing truck fleets in an impactful manner. To plan last-mile relief distribution in this setting, we introduce a multi-trip, split-delivery vehicle routing problem with trucks and UAVs, soft time windows, and stochastic travel times for last-mile relief distribution, formulated as a stochastic dynamic program. Within a finite time horizon, we aim to maximize a weighted objective function comprising the number of goods delivered, the number of different locations visited, and late arrival penalties. Our study offers insights into dealing with travel time uncertainty in humanitarian logistics by (i) deploying Unmanned Aerial Vehicles (UAVs) as partial substitutes for trucks, (ii) evaluating dynamic solutions generated by two deep reinforcement learning (RL) approaches – specifically value function approximation (VFA) and policy function approximation (PFA) – and (iii) comparing the RL solutions with solutions stemming from mathematical programming and dynamic heuristics. Experiments are performed on both Solomon-based instances and two real-world cases. The real-world cases – the 2015 Nepal earthquake and the 2018 Indonesia tsunami – are based on locally collected field data and real-world UAV specifications, and aim to provide practical insights. The experimental results show that dynamic decision-making improves both performance and robustness of humanitarian operations, achieving reductions in lateness penalties of around 85% compared to static solutions based on expected travel times. Furthermore, the results show that replacing half of the trucks with UAVs improves the weighted objective value by 11% to 56%, benefitting both reliability and location coverage. The results indicate that both the deployment of UAVs and the use of dynamic methods successfully mitigate travel time uncertainties in humanitarian operations.", "keywords": [ "Truck", "Heuristics", "Reinforcement learning", "Computer science", "Operations research", "Time horizon", "Dynamic programming", "Vehicle routing problem", "Robustness (evolution)", "Mathematical optimization", "Transport engineering", "Routing (electronic design automation)" ], "cited_by_openalex": 54, "cited_by_scopus": "53", "eid": "2-s2.0-85176133333", "pii": "S0968090X23003911", "open_access_url": "https://doi.org/10.1016/j.trc.2023.104401", "sources": [ { "db": "openalex", "stream": "UAV", "query_id": "UAV-1" }, { "db": "openalex", "stream": "UAV", "query_id": "UAV-2" }, { "db": "scopus", "stream": "UAV", "query_id": "UAV-1" }, { "db": "scopus", "stream": "UAV", "query_id": "UAV-2" } ], "streams": [ "UAV" ], "relevance_signals": [ "UAV", "TRUCK" ], "auto_exclude_reason": null, "screening_status": "pending_human_screening", "screened_by": "auto-v1.0.0" }, { "id": "doi:10.1016/j.engappai.2023.105876", "doi": "10.1016/j.engappai.2023.105876", "title": "A mixed closed-open multi-depot routing and scheduling problem for homemade meal delivery incorporating drone and crowd-sourced fleet: A self-adaptive hyper-heuristic approach", "year": 2023, "authors": [ "Mahdi Hamid", "Mohammad Mahdi Nasiri", "Masoud Rabbani" ], "first_author": "Mahdi Hamid", "venue": "Engineering Applications of Artificial Intelligence", "volume": "120", "pages": null, "type": "article", "language": "en", "abstract": null, "keywords": [ "Computer science", "Vehicle routing problem", "Heuristic", "Scheduling (production processes)", "Customer satisfaction", "Crowdsourcing", "Operations research", "Context (archaeology)", "Mathematical optimization", "Routing (electronic design automation)", "Computer network", "Artificial intelligence" ], "cited_by_openalex": 53, "cited_by_scopus": "53", "eid": "2-s2.0-85147255115", "pii": "S095219762300060X", "open_access_url": "https://doi.org/10.1016/j.engappai.2023.105876", "sources": [ { "db": "openalex", "stream": "UAV", "query_id": "UAV-2" }, { "db": "scopus", "stream": "UAV", "query_id": "UAV-2" } ], "streams": [ "UAV" ], "relevance_signals": [ "UAV_NO_CTX" ], "auto_exclude_reason": "EC-4-topic", "screening_status": "auto_excluded", "screened_by": "auto-v1.0.0" }, { "id": "doi:10.1016/j.tre.2023.103234", "doi": "10.1016/j.tre.2023.103234", "title": "Route planning for last-mile deliveries using mobile parcel lockers: A hybrid q-learning network approach", "year": 2023, "authors": [ "Yubin Liu", "Qiming Ye", "Jose Javier Escribano Macias", "Yuxiang Feng", "Eduardo Candela", "Panagiotis Angeloudis" ], "first_author": "Yubin Liu", "venue": "Transportation Research Part E Logistics and Transportation Review", "volume": "177", "pages": null, "type": "article", "language": "en", "abstract": "Mobile parcel lockers (MPLs) have been recently proposed by logistics operators as a technology that could help reduce traffic congestion and operational costs in urban freight distribution. Given their ability to relocate throughout their area of deployment, they hold the potential to improve customer accessibility and convenience. In this study, we formulate the Mobile Parcel Locker Problem (MPLP), a special case of the Location-Routing Problem (LRP) which determines the optimal stopover location for MPLs throughout the day and plans corresponding delivery routes. A Hybrid Q-Learning-Network-based Method (HQM) is developed to resolve the computational complexity of the resulting large problem instances while escaping local optima. In addition, the HQM is integrated with global and local search mechanisms to resolve the dilemma of exploration and exploitation faced by classic reinforcement learning (RL) methods. We examine the performance of HQM under different problem sizes (up to 200 nodes) and benchmarked it against the exact approach and Genetic Algorithm (GA). Our results indicate that HQM achieves better optimisation performance with shorter computation time than the exact approach solved by the Gurobi solver in large problem instances. Additionally, the average reward obtained by HQM is 1.96 times greater than GA’s, which demonstrates that HQM has a better optimisation ability. Further, we identify critical factors that contribute to fleet size requirements, travel distances, and service delays. Our findings outline that the efficiency of MPLs is mainly contingent on the length of time windows and the deployment of MPL stopovers. Finally, we highlight managerial implications based on parametric analysis to provide guidance for logistics operators in the context of efficient last-mile distribution operations.", "keywords": [ "Computer science", "Software deployment", "Reinforcement learning", "Solver", "Vehicle routing problem", "Mathematical optimization", "Service (business)", "Routing (electronic design automation)", "Multiprotocol Label Switching", "Last mile (transportation)", "Operations research", "Genetic algorithm" ], "cited_by_openalex": 54, "cited_by_scopus": "52", "eid": "2-s2.0-85166937647", "pii": "S1366554523002223", "open_access_url": "https://doi.org/10.1016/j.tre.2023.103234", "sources": [ { "db": "openalex", "stream": "TRUCK", "query_id": "TRUCK-2" }, { "db": "scopus", "stream": "TRUCK", "query_id": "TRUCK-2" } ], "streams": [ "TRUCK" ], "relevance_signals": [ "NO_TECHNOLOGY_MATCH" ], "auto_exclude_reason": "EC-4-topic", "screening_status": "auto_excluded", "screened_by": "auto-v1.0.0" }, { "id": "doi:10.1038/s41598-023-38922-z", "doi": "10.1038/s41598-023-38922-z", "title": "Critical assessment of emissions, costs, and time for last-mile goods delivery by drones versus trucks", "year": 2023, "authors": [ "Aishwarya Raghunatha", "Emma Lindkvist", "Patrik Thollander", "Erika Hansson", "Greta Jonsson" ], "first_author": "Aishwarya Raghunatha", "venue": "Scientific Reports", "volume": "13", "pages": null, "type": "article", "language": "en", "abstract": "Electric drones as an autonomous mode of transport are scaling up to transform last-mile goods delivery, raising an urgent need for assessing impacts of drone transport from a systems perspective. In this paper, we conduct systems analyses to assess the environmental, economic, and delivery time impact of large drones for delivery scenarios to pick-up centers between mid-size cities predominantly in rural areas, and deliveries within city limits compared with electric and diesel trucks. Results show that large drones have lower emissions than diesel trucks for deliveries in rural areas and that drones don't compete with electric trucks, mainly due to the high energy demand required for take-off and landing for each delivery. Furthermore, we show that electric drones are an economically more cost-effective option than road-bound transport modes such as diesel and electric trucks due to the high degree of automation, and also provide the fastest delivery times. Our analysis provides unique insights that drones can address rapid electrification and emergency applications due to low costs, high flexibility, and fast operations. However, for regulators and practitioners to realize it as an emission-friendly option it is necessary to determine the optimal size of drones, particularly for use cases in urban areas, avoid very low landings for deliveries, and have home deliveries instead of pick-up points.", "keywords": [ "Truck", "Mile", "Drone", "Transport engineering", "Computer science", "Aeronautics", "Business", "Environmental science", "Engineering", "Automotive engineering", "Geography", "Biology" ], "cited_by_openalex": 47, "cited_by_scopus": "52", "eid": "2-s2.0-85165347894", "pii": null, "open_access_url": "https://www.nature.com/articles/s41598-023-38922-z.pdf", "sources": [ { "db": "openalex", "stream": "UAV", "query_id": "UAV-1" }, { "db": "scopus", "stream": "UAV", "query_id": "UAV-1" } ], "streams": [ "UAV" ], "relevance_signals": [ "UAV", "TRUCK" ], "auto_exclude_reason": null, "screening_status": "pending_human_screening", "screened_by": "auto-v1.0.0" }, { "id": "doi:10.1016/j.trd.2023.103983", "doi": "10.1016/j.trd.2023.103983", "title": "Spatiotemporal characteristics and driving factors of CO2 emissions from road freight transportation", "year": 2023, "authors": [ "Pengjun Zhao", "Zhaoxiang Li", "Zuopeng Xiao", "Shixiong Jiang", "Zhangyuan He", "Mengzhu Zhang" ], "first_author": "Pengjun Zhao", "venue": "Transportation Research Part D Transport and Environment", "volume": "125", "pages": null, "type": "article", "language": "en", "abstract": null, "keywords": [ "Truck", "Transport engineering", "Sustainability", "Greenhouse gas", "Environmental science", "Business", "Environmental economics", "Engineering", "Economics", "Automotive engineering" ], "cited_by_openalex": 56, "cited_by_scopus": "51", "eid": "2-s2.0-85177791313", "pii": "S1361920923003802", "open_access_url": "https://doi.org/10.1016/j.trd.2023.103983", "sources": [ { "db": "openalex", "stream": "TRUCK", "query_id": "TRUCK-1" }, { "db": "scopus", "stream": "TRUCK", "query_id": "TRUCK-1" } ], "streams": [ "TRUCK" ], "relevance_signals": [ "TRUCK_NO_CTX" ], "auto_exclude_reason": "EC-4-topic", "screening_status": "auto_excluded", "screened_by": "auto-v1.0.0" }, { "id": "doi:10.1016/j.trb.2023.01.004", "doi": "10.1016/j.trb.2023.01.004", "title": "Freight-on-Transit for urban last-mile deliveries: A strategic planning approach", "year": 2023, "authors": [ "Diego Delle Donne", "Laurent Alfandari", "Claudia Archetti", "Ivana Ljubić" ], "first_author": "Diego Delle Donne", "venue": "Transportation Research Part B Methodological", "volume": "169", "pages": "53-81", "type": "article", "language": "en", "abstract": "We study a delivery strategy for last-mile deliveries in urban areas which combines freight transportation with mass mobility systems with the goal of creating synergies contrasting negative externalities caused by transportation. The idea is to use the residual capacity on public transport means for moving freight within the city. In particular, the system is such that parcels are first transported from origins (central distribution centers) to drop-in stations, which are stop locations on public vehicle itineraries. Then, they are transported on public vehicles to drop-out stations, from where they are delivered to destination by green vehicles (such as bikes, drones, porters, etc.). The system is known as Freight-On-Transit (FOT). In this paper, we focus on the strategic decisions related to defining the public transportation network that will take part in the delivery system, i.e., which public vehicle lines and stop locations will be included (and thus equipped for the service). We propose different formulations for the problem and effective heuristic solution approaches based on column generation. We perform exhaustive tests aimed at providing managerial insights on the performance and the efficiency of the system.", "keywords": [ "Mile", "Transit (satellite)", "Transport engineering", "Last mile (transportation)", "Business", "Strategic planning", "Urban transit", "Transit system", "Transportation planning", "Environmental planning", "Geography", "Public transport" ], "cited_by_openalex": 55, "cited_by_scopus": "51", "eid": "2-s2.0-85147602768", "pii": "S0191261523000103", "open_access_url": "https://doi.org/10.1016/j.trb.2023.01.004", "sources": [ { "db": "openalex", "stream": "UAV", "query_id": "UAV-1" }, { "db": "scopus", "stream": "UAV", "query_id": "UAV-1" } ], "streams": [ "UAV" ], "relevance_signals": [ "UAV" ], "auto_exclude_reason": null, "screening_status": "pending_human_screening", "screened_by": "auto-v1.0.0" }, { "id": "doi:10.1016/j.swevo.2023.101246", "doi": "10.1016/j.swevo.2023.101246", "title": "A GV-drone arc routing approach for urban traffic patrol by coordinating a ground vehicle and multiple drones", "year": 2023, "authors": [ "Binjie Xu", "Kexin Zhao", "Qizhang Luo", "Guohua Wu", "Witold Pedrycz" ], "first_author": "Binjie Xu", "venue": "Swarm and Evolutionary Computation", "volume": "77", "pages": null, "type": "article", "language": "en", "abstract": null, "keywords": [ "Drone", "Computer science", "Simulated annealing", "Patrolling", "Real-time computing", "Algorithm" ], "cited_by_openalex": 47, "cited_by_scopus": "51", "eid": "2-s2.0-85147195116", "pii": "S2210650223000202", "open_access_url": "https://doi.org/10.1016/j.swevo.2023.101246", "sources": [ { "db": "openalex", "stream": "UAV", "query_id": "UAV-1" }, { "db": "openalex", "stream": "UAV", "query_id": "UAV-2" }, { "db": "scopus", "stream": "UAV", "query_id": "UAV-1" }, { "db": "scopus", "stream": "UAV", "query_id": "UAV-2" } ], "streams": [ "UAV" ], "relevance_signals": [ "UAV_NO_CTX" ], "auto_exclude_reason": "EC-4-topic", "screening_status": "auto_excluded", "screened_by": "auto-v1.0.0" }, { "id": "doi:10.1016/j.cie.2023.109849", "doi": "10.1016/j.cie.2023.109849", "title": "Cooperative trucks and drones for rural last-mile delivery with steep roads", "year": 2023, "authors": [ "Jiuhong Xiao", "Ying Li", "Zhiguang Cao", "Jianhua Xiao" ], "first_author": "Jiuhong Xiao", "venue": "Computers & Industrial Engineering", "volume": "187", "pages": null, "type": "article", "language": "en", "abstract": null, "keywords": [ "Mile", "Truck", "Drone", "Last mile (transportation)", "Transport engineering", "Aeronautics", "Engineering", "Forensic engineering", "Business", "Geography", "Automotive engineering" ], "cited_by_openalex": 47, "cited_by_scopus": "50", "eid": "2-s2.0-85181006838", "pii": "S0360835223008732", "open_access_url": "https://doi.org/10.1016/j.cie.2023.109849", "sources": [ { "db": "openalex", "stream": "TRUCK", "query_id": "TRUCK-1" }, { "db": "openalex", "stream": "UAV", "query_id": "UAV-1" }, { "db": "openalex", "stream": "UAV", "query_id": "UAV-2" }, { "db": "scopus", "stream": "TRUCK", "query_id": "TRUCK-1" }, { "db": "scopus", "stream": "UAV", "query_id": "UAV-1" }, { "db": "scopus", "stream": "UAV", "query_id": "UAV-2" } ], "streams": [ "TRUCK", "UAV" ], "relevance_signals": [ "UAV", "TRUCK" ], "auto_exclude_reason": null, "screening_status": "pending_human_screening", "screened_by": "auto-v1.0.0" }, { "id": "doi:10.1016/j.cor.2023.106514", "doi": "10.1016/j.cor.2023.106514", "title": "Parallel drone scheduling vehicle routing problems with collective drones", "year": 2023, "authors": [ "Roberto Montemanni", "Mauro Dell’Amico", "Andrea Corsini" ], "first_author": "Roberto Montemanni", "venue": "Computers & Operations Research", "volume": "163", "pages": null, "type": "article", "language": "en", "abstract": "We study last-mile delivery problems where trucks and drones collaborate to deliver goods to final customers. In particular, we focus on problem settings where either a single truck or a fleet with several homogeneous trucks work in parallel to drones, and drones have the capability of collaborating for delivering missions. This cooperative behaviour of the drones, which are able to connect to each other and work together for some delivery tasks, enhance their potential, since connected drone has increased lifting capabilities and can fly at higher speed, overcoming the main limitations of the setting where the drones can only work independently. In this work, we contribute a Constraint Programming model and a valid inequality for the version of the problem with one truck, namely the Parallel Drone Scheduling Traveling Salesman Problem with Collective Drones and we introduce for the first time the variant with multiple trucks, called the Parallel Drone Scheduling Vehicle Routing Problem with Collective Drones. For the latter version of the problem, we propose two Constraint Programming models and a Mixed Integer Linear Programming model. An extensive experimental campaign leads to state-of-the-art results for the problem with one truck and some understanding of the presented models’ behaviour on the version with multiple trucks. Some insights about future research are finally discussed.", "keywords": [ "Drone", "Truck", "Travelling salesman problem", "Computer science", "Vehicle routing problem", "Scheduling (production processes)", "Integer programming", "Constraint programming", "Operations research", "Routing (electronic design automation)", "Mathematical optimization", "Computer network" ], "cited_by_openalex": 47, "cited_by_scopus": "49", "eid": "2-s2.0-85181083058", "pii": "S0305054823003787", "open_access_url": "https://doi.org/10.1016/j.cor.2023.106514", "sources": [ { "db": "openalex", "stream": "TRUCK", "query_id": "TRUCK-1" }, { "db": "openalex", "stream": "UAV", "query_id": "UAV-1" }, { "db": "openalex", "stream": "UAV", "query_id": "UAV-2" }, { "db": "scopus", "stream": "TRUCK", "query_id": "TRUCK-1" }, { "db": "scopus", "stream": "UAV", "query_id": "UAV-1" }, { "db": "scopus", "stream": "UAV", "query_id": "UAV-2" } ], "streams": [ "TRUCK", "UAV" ], "relevance_signals": [ "UAV", "TRUCK" ], "auto_exclude_reason": null, "screening_status": "pending_human_screening", "screened_by": "auto-v1.0.0" }, { "id": "doi:10.1016/j.engappai.2023.106631", "doi": "10.1016/j.engappai.2023.106631", "title": "Sustainable last mile parcel delivery and return service using drones", "year": 2023, "authors": [ "Nawin Yanpirat", "Daniel F. Silva", "Alice E. Smith" ], "first_author": "Nawin Yanpirat", "venue": "Engineering Applications of Artificial Intelligence", "volume": "124", "pages": null, "type": "article", "language": "en", "abstract": null, "keywords": [ "Drone", "Computer science", "Truck", "Last mile (transportation)", "Travelling salesman problem", "Operations research", "Service (business)", "Vehicle routing problem", "Python (programming language)", "Mile", "Routing (electronic design automation)", "Computer network" ], "cited_by_openalex": 51, "cited_by_scopus": "49", "eid": "2-s2.0-85164239972", "pii": "S0952197623008151", "open_access_url": "https://doi.org/10.1016/j.engappai.2023.106631", "sources": [ { "db": "openalex", "stream": "TRUCK", "query_id": "TRUCK-1" }, { "db": "openalex", "stream": "UAV", "query_id": "UAV-1" }, { "db": "scopus", "stream": "TRUCK", "query_id": "TRUCK-1" }, { "db": "scopus", "stream": "UAV", "query_id": "UAV-1" } ], "streams": [ "TRUCK", "UAV" ], "relevance_signals": [ "UAV", "TRUCK" ], "auto_exclude_reason": null, "screening_status": "pending_human_screening", "screened_by": "auto-v1.0.0" }, { "id": "doi:10.1016/j.ast.2023.108410", "doi": "10.1016/j.ast.2023.108410", "title": "Efficient prediction of urban air mobility noise in a vertiport environment", "year": 2023, "authors": [ "Furkat Yunus", "Damiano Casalino", "Francesco Avallone", "Daniele Ragni" ], "first_author": "Furkat Yunus", "venue": "Aerospace Science and Technology", "volume": "139", "pages": null, "type": "article", "language": "en", "abstract": "Efficient calculation of urban air mobility noise footprint in a vertiport environment, considering acoustic effects of various designs, operational conditions, and environmental factors, is essential to limit the noise impact on the community at an early stage. To this purpose, the computationally efficient low-fidelity approach presented by the authors in Fuerkaiti et al. (2022) [11] is extended to calculate the noise footprint of an aircraft in a generic 3D environment. The straight-ray propagator is replaced with a Gaussian beam tracer that accounts for complex source directivity, 3D varying terrain topology, and wind profiles. The reliability of the Gaussian beam tracer has been verified in previous studies by the authors. In this work, it is further extended to include complex source directivity in the presence of a moving medium. Noise sources, obtained using a low-fidelity toolchain, are stored on a sphere surrounding the aircraft and are propagated through an inhomogeneous anisotropic atmosphere. Noise footprints, predicted for different terrain topologies, source directivities, and wind flow conditions, are compared. It is shown that, compared to flat terrain, for the case under investigation, the building blocks increase on-ground noise levels by 5 dB in the illuminated zone due to multiple reflections; they also shield the incoming sound field by creating shadow zones behind the building. The shielding increases with increasing frequency in a quiescent atmosphere. The change between the source directivities, corresponding to the first and second harmonics of the blade passing frequency, results in a difference of up to 40 dB in the noise footprint. The presence of the wind flow can contribute a significant variation in the acoustic footprint by changing the lobes of the footprint pattern and intensifying the noise levels; the variation increases with increasing frequency. Compared to the straight-ray propagator, the present approach reduces the prediction error by 5 dB in the illuminated zones and 35 dB in the terrain shadow zones.", "keywords": [ "Directivity", "Noise (video)", "Footprint", "Ambient noise level", "Acoustics", "Terrain", "Line source", "Environmental science", "Computer science", "Physics", "Telecommunications", "Geology" ], "cited_by_openalex": 51, "cited_by_scopus": "49", "eid": "2-s2.0-85160857040", "pii": "S1270963823003073", "open_access_url": "https://doi.org/10.1016/j.ast.2023.108410", "sources": [ { "db": "openalex", "stream": "UAV", "query_id": "UAV-3" }, { "db": "scopus", "stream": "UAV", "query_id": "UAV-3" } ], "streams": [ "UAV" ], "relevance_signals": [ "UAV_NO_CTX" ], "auto_exclude_reason": "EC-4-topic", "screening_status": "auto_excluded", "screened_by": "auto-v1.0.0" }, { "id": "doi:10.1016/j.jclepro.2023.138959", "doi": "10.1016/j.jclepro.2023.138959", "title": "Electric mobility toward sustainable cities and road-freight logistics: A systematic review and future research directions", "year": 2023, "authors": [ "Frank Eduardo Alarcón Olalla", "Alejandro Mac Cawley", "Enzo E. Sauma" ], "first_author": "Frank Eduardo Alarcón Olalla", "venue": "Journal of Cleaner Production", "volume": "430", "pages": null, "type": "review", "language": "en", "abstract": null, "keywords": [ "Sustainability", "Sustainable transport", "Truck", "Traffic management", "Business", "Transport engineering", "Systematic review", "Scientific literature", "Work (physics)", "Environmental economics", "Engineering", "Economics" ], "cited_by_openalex": 48, "cited_by_scopus": "48", "eid": "2-s2.0-85177993200", "pii": "S0959652623031177", "open_access_url": "https://doi.org/10.1016/j.jclepro.2023.138959", "sources": [ { "db": "openalex", "stream": "TRUCK", "query_id": "TRUCK-1" }, { "db": "scopus", "stream": "TRUCK", "query_id": "TRUCK-1" } ], "streams": [ "TRUCK" ], "relevance_signals": [ "TRUCK_NO_CTX" ], "auto_exclude_reason": "EC-4-topic", "screening_status": "auto_excluded", "screened_by": "auto-v1.0.0" }, { "id": "doi:10.1109/access.2023.3247501", "doi": "10.1109/access.2023.3247501", "title": "Energy Efficient UAV-Based Last-Mile Delivery: A Tactical-Operational Model With Shared Depots and Non-Linear Energy Consumption", "year": 2023, "authors": [ "Maria Elena Bruni", "Sara Khodaparasti", "Guido Perboli" ], "first_author": "Maria Elena Bruni", "venue": "IEEE Access", "volume": "11", "pages": "18560-18570", "type": "article", "language": "en", "abstract": "This paper studies the drone-aided last-mile delivery problem with shared depot resources. Our research motivation comes from E-commerce logistics, where big companies such as Amazon, are already filing up patents for the development of drone-friendly fulfillment centers towers that could serve as both charging hubs and convenient pit stops for delivery drones to pick up and drop off packages efficiently. We mainly focus on the tactical decisions about the selection of shared fulfillment centers used as the drone launch and retrieve stations and the fleet size plans. The operational drone route decisions are also incorporated into a unified framework to account for the mutual impact between tactical and operational plans. Moreover, we consider explicitly the non-linear and load-dependent nature of the energy consumption function for drone batteries. The problem is formulated as a mixed integer program with linear constraints, developed in the realm of layered networks, where the non-linear nature of energy consumption and its load dependency are incorporated and efficiently handled without the need of approximating non-linear terms. The proposed model is tested on an extensive set of instances with up to 75 customers, showing its computational efficiency. Insights about the route costs and spatial configuration of depots are also discussed.", "keywords": [ "Drone", "Computer science", "Energy consumption", "Last mile (transportation)", "Linear programming", "Operations research", "Efficient energy use", "Mile", "Engineering" ], "cited_by_openalex": 45, "cited_by_scopus": "48", "eid": "2-s2.0-85149368677", "pii": null, "open_access_url": "https://ieeexplore.ieee.org/ielx7/6287639/10005208/10049551.pdf", "sources": [ { "db": "openalex", "stream": "UAV", "query_id": "UAV-1" }, { "db": "openalex", "stream": "UAV", "query_id": "UAV-2" }, { "db": "scopus", "stream": "UAV", "query_id": "UAV-1" }, { "db": "scopus", "stream": "UAV", "query_id": "UAV-2" } ], "streams": [ "UAV" ], "relevance_signals": [ "UAV" ], "auto_exclude_reason": null, "screening_status": "pending_human_screening", "screened_by": "auto-v1.0.0" }, { "id": "doi:10.3389/fpubh.2023.1128886", "doi": "10.3389/fpubh.2023.1128886", "title": "Implementation of drone based delivery of medical supplies in North-East India: experiences, challenges and adopted strategies", "year": 2023, "authors": [ "Sumit Suresh Aggarwal", "Prakamya Gupta", "Nupur Mahajan", "Sivaraman Balaji", "Khangembam Jitenkumar Singh", "Balram Bhargava", "Samiran Panda" ], "first_author": "Sumit Suresh Aggarwal", "venue": "Frontiers in Public Health", "volume": "11", "pages": null, "type": "article", "language": "en", "abstract": "Timely delivery of medical supplies is essential in the healthcare sector, which is hampered by factors such as poor transportation network, traffic and adverse environmental conditions. Alternatively, drone operations can leapfrog the last mile logistic solutions in hard-to-reach terrains. The present paper elucidates the implementation process of drone-based delivery of medical supplies, operational challenges and innovations adopted by scientists in Manipur and Nagaland. Three districts, Bishnupur, Imphal West and Churachandpur from Manipur and two districts, Mokokchung and Tuensang from Nagaland, were selected for the study. Regulatory and ethical approvals and coordination with state health and administrative authorities were accorded. Implementation and operational challenges faced by the research team were recorded elaborately in the field diaries and assessed qualitatively. The experiences encountered by the team for case-to-case based permission and coordination with the central and state aviation authorities, district administration and health authorities were observed. The drone-related technical and logistic challenges were identified as the deployment of suitable drones, payload capacity, time management for operations, and transportation of drones. The officials adopted mitigation strategies to overcome field-based challenges. Drone-based deliveries of medical supplies are proving to be time efficient, however, overcoming operational challenges could provide an effective long-term deployment strategy.", "keywords": [ "Drone", "Software deployment", "Business", "Payload (computing)", "Operations management", "Process management", "Computer science", "Computer security", "Engineering" ], "cited_by_openalex": 48, "cited_by_scopus": "47", "eid": "2-s2.0-85162167808", "pii": null, "open_access_url": "https://www.frontiersin.org/articles/10.3389/fpubh.2023.1128886/pdf", "sources": [ { "db": "openalex", "stream": "UAV", "query_id": "UAV-1" }, { "db": "openalex", "stream": "UAV", "query_id": "UAV-3" }, { "db": "scopus", "stream": "UAV", "query_id": "UAV-1" }, { "db": "scopus", "stream": "UAV", "query_id": "UAV-3" } ], "streams": [ "UAV" ], "relevance_signals": [ "UAV" ], "auto_exclude_reason": null, "screening_status": "pending_human_screening", "screened_by": "auto-v1.0.0" }, { "id": "doi:10.1016/j.trc.2023.104203", "doi": "10.1016/j.trc.2023.104203", "title": "An adaptive large neighborhood search metaheuristic for a passenger and parcel share-a-ride problem with drones", "year": 2023, "authors": [ "Rong Cheng", "Yu Jiang", "Otto Anker Nielsen", "David Pisinger" ], "first_author": "Rong Cheng", "venue": "Transportation Research Part C Emerging Technologies", "volume": "153", "pages": null, "type": "article", "language": "en", "abstract": "With the increasing concerns about traffic congestion and climate change, much effort has been made to enhance sustainable urban mobility for passengers and goods. One emerging promising strategy is to transport passengers and goods in an integrated manner, as it could reduce the number of vehicles on the road compared with the separate transportation of passengers and goods. This study proposes the simultaneous transportation of passengers and goods using demand-responsive buses and drones. Compared with the prevalent strategies that rely only on ground vehicles to integrate passenger and parcel transportation, we propose the joint usage of ground vehicles and drones to transport passengers and deliver parcels. The ground vehicles for passenger and parcel delivery are on-demand buses, which combine the advantages of the flexibility of taxis and the large capacity of public transport modes. The drones automatically take off from and land on the on-demand buses’ rooftops and are only for parcel delivery. A new optimization problem that designs the routes for both demand-responsive buses and drones is proposed and denoted as the passenger and parcel share-a-ride problem with drones (SARP-D). A mixed-integer nonlinear programming model is devised; the nonlinearity exists because drone launch/recovery can occur simultaneously with request servicing by a bus at the same node. To solve the model for large-scale instances, we develop an adaptive large neighborhood search metaheuristic. Numerical experiments are conducted to validate the correctness of the model and evaluate the efficiency of the metaheuristic. Moreover, sensitivity analyses are performed to explore the influences of the maximum number of intermediate stops during one passenger request service, the drone flight endurance, and the unit delay penalty on the total cost, which comprises the transportation and delay costs.", "keywords": [ "Drone", "Metaheuristic", "Transport engineering", "Computer science", "Engineering", "Operations research", "Aeronautics", "Artificial intelligence" ], "cited_by_openalex": 42, "cited_by_scopus": "46", "eid": "2-s2.0-85164245682", "pii": "S0968090X23001924", "open_access_url": "https://doi.org/10.1016/j.trc.2023.104203", "sources": [ { "db": "openalex", "stream": "UAV", "query_id": "UAV-1" }, { "db": "scopus", "stream": "UAV", "query_id": "UAV-1" }, { "db": "scopus", "stream": "UAV", "query_id": "UAV-2" } ], "streams": [ "UAV" ], "relevance_signals": [ "UAV" ], "auto_exclude_reason": null, "screening_status": "pending_human_screening", "screened_by": "auto-v1.0.0" }, { "id": "doi:10.1016/j.cie.2023.109851", "doi": "10.1016/j.cie.2023.109851", "title": "Learning for multiple purposes: A Q-learning enhanced hybrid metaheuristic for parallel drone scheduling traveling salesman problem", "year": 2023, "authors": [ "Ping Chen", "Qianlong Wang" ], "first_author": "Ping Chen", "venue": "Computers & Industrial Engineering", "volume": "187", "pages": null, "type": "article", "language": "en", "abstract": null, "keywords": [ "Drone", "Travelling salesman problem", "Metaheuristic", "Computer science", "Scheduling (production processes)", "Mathematical optimization", "Job shop scheduling", "Reinforcement learning", "Heuristic", "Artificial intelligence", "Operations research", "Engineering" ], "cited_by_openalex": 47, "cited_by_scopus": "45", "eid": "2-s2.0-85180534105", "pii": "S0360835223008756", "open_access_url": "https://doi.org/10.1016/j.cie.2023.109851", "sources": [ { "db": "openalex", "stream": "TRUCK", "query_id": "TRUCK-1" }, { "db": "openalex", "stream": "TRUCK", "query_id": "TRUCK-3" }, { "db": "openalex", "stream": "UAV", "query_id": "UAV-1" }, { "db": "scopus", "stream": "TRUCK", "query_id": "TRUCK-1" }, { "db": "scopus", "stream": "TRUCK", "query_id": "TRUCK-3" }, { "db": "scopus", "stream": "UAV", "query_id": "UAV-1" } ], "streams": [ "TRUCK", "UAV" ], "relevance_signals": [ "UAV_NO_CTX" ], "auto_exclude_reason": "EC-4-topic", "screening_status": "auto_excluded", "screened_by": "auto-v1.0.0" }, { "id": "doi:10.3390/logistics7020021", "doi": "10.3390/logistics7020021", "title": "A Comparative Review of Air Drones (UAVs) and Delivery Bots (SUGVs) for Automated Last Mile Home Delivery", "year": 2023, "authors": [ "Fang Li", "Oliver Kunze" ], "first_author": "Fang Li", "venue": "Logistics", "volume": "7", "pages": null, "type": "article", "language": "en", "abstract": "Background: UAVs (Unmanned Aerial Vehicles) and SUGVs (Sidewalk Unmanned Ground Vehicles) are two prominent options to revolutionize last mile home delivery. However, there is no literature yet addressing a comprehensive assessment of them. To bridge this research gap, this paper aimed to compare UAVs to SUGVs in the context of urban parcel delivery from a practical, conceptual, technological, commercial, and environmental perspective. Methodology: Based on structured literature and web research, this paper provided a comparative status quo review of these two delivery concepts. We introduced a parameter-based cost calculus model to estimate the costs per shipment for each technology. To detect the key cost drivers, we applied a one-way sensitivity analysis, as well as a “full factorial design of experiment” approach. Results: These key cost drivers for both operations are the “number of vehicles per operator” and the “average beeline service radius”. From today’s commercial point of view, our model indicated better profitability of SUGVs. However, technical and regulatory developments may render different results in the future. As SUGVs emit significantly less noise than UAVs, we assume that SUGVs have an additional advantage for usage in autonomous urban last mile delivery from a resident’s perspective. Conclusions: Both key cost drivers will significantly influence the commercial viability of unmanned home delivery services. Safety and security aspects will determine regulatory rules on “number of vehicles per operator”. To increase the “average beeline service radius”, UAVs could profit from mothership delivery concepts while SUGV delivery may co-use existing public transport infrastructure.", "keywords": [ "Drone", "Last mile (transportation)", "Computer science", "Context (archaeology)", "Flexibility (engineering)", "Transport engineering", "Computer security", "Operations research", "Engineering", "Mile" ], "cited_by_openalex": 41, "cited_by_scopus": "45", "eid": "2-s2.0-85163605653", "pii": null, "open_access_url": "https://www.mdpi.com/2305-6290/7/2/21/pdf?version=1680492468", "sources": [ { "db": "openalex", "stream": "UAV", "query_id": "UAV-1" }, { "db": "scopus", "stream": "UAV", "query_id": "UAV-1" } ], "streams": [ "UAV" ], "relevance_signals": [ "UAV" ], "auto_exclude_reason": null, "screening_status": "pending_human_screening", "screened_by": "auto-v1.0.0" }, { "id": "doi:10.1016/j.tre.2023.103314", "doi": "10.1016/j.tre.2023.103314", "title": "Towards sustainable UAV operations: Balancing economic optimization with environmental and social considerations in path planning", "year": 2023, "authors": [ "Zhangchen Hu", "Heng Chen", "Eric Lyons", "Senay Solak", "Michael Zink" ], "first_author": "Zhangchen Hu", "venue": "Transportation Research Part E Logistics and Transportation Review", "volume": "181", "pages": null, "type": "article", "language": "en", "abstract": null, "keywords": [ "Computer science", "Social cost", "Minification", "Stochastic optimization", "Mathematical optimization", "Stochastic programming", "Discretization", "Motion planning", "Economic cost", "Operations research", "Engineering", "Economics" ], "cited_by_openalex": 45, "cited_by_scopus": "45", "eid": "2-s2.0-85178666371", "pii": "S1366554523003022", "open_access_url": "https://doi.org/10.1016/j.tre.2023.103314", "sources": [ { "db": "openalex", "stream": "UAV", "query_id": "UAV-1" }, { "db": "scopus", "stream": "UAV", "query_id": "UAV-1" } ], "streams": [ "UAV" ], "relevance_signals": [ "UAV_NO_CTX" ], "auto_exclude_reason": "EC-4-topic", "screening_status": "auto_excluded", "screened_by": "auto-v1.0.0" }, { "id": "doi:10.1016/j.cor.2023.106435", "doi": "10.1016/j.cor.2023.106435", "title": "The drone-assisted pickup and delivery problem: An adaptive large neighborhood search metaheuristic", "year": 2023, "authors": [ "Timothy Mulumba", "Waleed Najy", "Ali H. Diabat" ], "first_author": "Timothy Mulumba", "venue": "Computers & Operations Research", "volume": "161", "pages": null, "type": "article", "language": "en", "abstract": null, "keywords": [ "Drone", "Truck", "Metaheuristic", "Computer science", "Pickup", "Benchmarking", "Operations research", "Integer programming", "Last mile (transportation)", "Vehicle routing problem", "Routing (electronic design automation)", "Artificial intelligence" ], "cited_by_openalex": 49, "cited_by_scopus": "44", "eid": "2-s2.0-85172463887", "pii": "S030505482300299X", "open_access_url": "https://doi.org/10.1016/j.cor.2023.106435", "sources": [ { "db": "openalex", "stream": "TRUCK", "query_id": "TRUCK-1" }, { "db": "openalex", "stream": "TRUCK", "query_id": "TRUCK-3" }, { "db": "openalex", "stream": "UAV", "query_id": "UAV-1" }, { "db": "scopus", "stream": "TRUCK", "query_id": "TRUCK-1" }, { "db": "scopus", "stream": "TRUCK", "query_id": "TRUCK-3" }, { "db": "scopus", "stream": "UAV", "query_id": "UAV-1" }, { "db": "scopus", "stream": "UAV", "query_id": "UAV-2" } ], "streams": [ "TRUCK", "UAV" ], "relevance_signals": [ "UAV", "TRUCK" ], "auto_exclude_reason": null, "screening_status": "pending_human_screening", "screened_by": "auto-v1.0.0" }, { "id": "doi:10.1080/00207543.2023.2254402", "doi": "10.1080/00207543.2023.2254402", "title": "Delivery network design of a locker-drone delivery system", "year": 2023, "authors": [ "Bipan Zou", "Siqing Wu", "Yeming Gong", "Zhe Yuan", "Yuqian Shi" ], "first_author": "Bipan Zou", "venue": "International Journal of Production Research", "volume": "62", "pages": "4097-4121", "type": "article", "language": "en", "abstract": "Drones are increasingly used for last-mile delivery due to their speed and cost-effectiveness. This study focuses on a novel locker-drone delivery system, where trucks transport parcels from the warehouse to lockers, and drones complete the final delivery. This system is ideal for community and intra-facility logistics. The research optimises the network design by determining the location of lockers, the number of drones at each locker, and the assignment of demands to lockers, minimising operating costs. Both single-parcel and multi-parcel capacity drones are examined. We build an optimisation model for each system, considering drone service capacity as a critical constraint. We design an algorithm combining average sample approximation and a genetic algorithm to address demand uncertainty. The algorithm's efficiency is validated through comparative analysis with Gurobi. Numerical experiments, using real and generated data, optimise the network design. Results show that the multi-capacity drone system requires fewer lockers and drones than the single-capacity system. Although the single-capacity system yields lower drone delivery costs, it incurs higher truck delivery costs. Additionally, a comprehensive cost analysis compares the cost-efficiency of the locker-drone system with a conventional drone delivery system, revealing the cost-saving advantage of the locker-drone system.", "keywords": [ "Drone", "Truck", "Last mile (transportation)", "Computer science", "Operations research", "Engineering", "Simulation", "Transport engineering", "Automotive engineering", "Mile", "Geography" ], "cited_by_openalex": 45, "cited_by_scopus": "44", "eid": "2-s2.0-85171176459", "pii": null, "open_access_url": "https://doi.org/10.1080/00207543.2023.2254402", "sources": [ { "db": "openalex", "stream": "TRUCK", "query_id": "TRUCK-1" }, { "db": "openalex", "stream": "UAV", "query_id": "UAV-1" }, { "db": "scopus", "stream": "TRUCK", "query_id": "TRUCK-1" }, { "db": "scopus", "stream": "UAV", "query_id": "UAV-1" } ], "streams": [ "TRUCK", "UAV" ], "relevance_signals": [ "UAV", "TRUCK" ], "auto_exclude_reason": null, "screening_status": "pending_human_screening", "screened_by": "auto-v1.0.0" }, { "id": "doi:10.1016/j.trc.2023.104322", "doi": "10.1016/j.trc.2023.104322", "title": "The drone latency location routing problem under uncertainty", "year": 2023, "authors": [ "Maria Elena Bruni", "Sara Khodaparasti", "Guido Perboli" ], "first_author": "Maria Elena Bruni", "venue": "Transportation Research Part C Emerging Technologies", "volume": "156", "pages": null, "type": "article", "language": "en", "abstract": "This paper addresses a location routing problem arising in the last-mile drone delivery context, where drones are used to deliver small packages to a set of customers. Each drone is launched from a fulfillment center to serve multiple customers on a single trip. The goal is to find the optimal subset of fulfillment centers to use as drone launching and landing platforms and the optimal drone routes with the aim of minimizing the sum of customers’ waiting times. We study the problem under two realistic assumptions. First, the drone energy consumption is a nonlinear function of the drone load that varies along the route, as parcels are delivered. Second, the drone flight time is not deterministically known. To hedge against drone flight time uncertainty, we adopt a robust optimization approach. Due to the complex nature of the problem, which turns out to be a nonlinear mixed-integer problem, we design an exact method based on a tailored efficient Branch & Check algorithm that uses customized no-good cuts. The computational experiments show the validity of the proposed model and the promising performance of the exact method. Moreover, we present a case study on last-mile parcel delivery in Turin, Italy, providing insights into the advantages of a drone-based delivery system.", "keywords": [ "Drone", "Computer science", "Context (archaeology)", "Mathematical optimization", "Routing (electronic design automation)", "Operations research", "Real-time computing", "Engineering", "Computer network", "Mathematics", "Geography" ], "cited_by_openalex": 48, "cited_by_scopus": "44", "eid": "2-s2.0-85171146244", "pii": "S0968090X2300311X", "open_access_url": "https://doi.org/10.1016/j.trc.2023.104322", "sources": [ { "db": "openalex", "stream": "UAV", "query_id": "UAV-1" }, { "db": "openalex", "stream": "UAV", "query_id": "UAV-2" }, { "db": "openalex", "stream": "UAV", "query_id": "UAV-3" }, { "db": "scopus", "stream": "UAV", "query_id": "UAV-1" }, { "db": "scopus", "stream": "UAV", "query_id": "UAV-2" }, { "db": "scopus", "stream": "UAV", "query_id": "UAV-3" } ], "streams": [ "UAV" ], "relevance_signals": [ "UAV" ], "auto_exclude_reason": null, "screening_status": "pending_human_screening", "screened_by": "auto-v1.0.0" }, { "id": "doi:10.1016/j.xinn.2023.100392", "doi": "10.1016/j.xinn.2023.100392", "title": "Urban aerial mobility: Reshaping the future of urban transportation", "year": 2023, "authors": [ "Kai Wang", "Xiaobo Qu" ], "first_author": "Kai Wang", "venue": "The Innovation", "volume": null, "pages": null, "type": "article", "language": "en", "abstract": "Urbanization causes concentrated economic and social activities in urban areas, leading to high living standards, e.g., better economy, food, education, housing, healthcare, and entertainment. However, such a concentration comes at some costs, e.g., traffic congestion, pollution, overcrowding, and fast spread of disease, and among these, traffic congestion is a growing problem that is neutralizing the efficiency of urbanization. Indeed, traffic congestion leads to tremendous costs for large cities. For instance, INRIX estimated that the annual economic losses from traffic congestion in New York City and Los Angeles were $11.0 billion and $8.2 billion in 2019, respectively, and on average for each traveler, the annual wasted hours are 140 and 103, respectively.1INRIX2019 global traffic scorecard.https://inrix.com/scorecard/Date: 2019Google Scholar Situations are much more serious for cities in China, e.g., Beijing and Shanghai.2Yang J. Purevjav A.O. Li S. The marginal cost of traffic congestion and road pricing: evidence from a natural experiment in Beijing.Am. Econ. J. Econ. Pol. 2020; 12: 418-453Crossref Scopus (19) Google Scholar Plenty of attempts have been made to alleviate traffic congestion, spanning congestion pricing, public transportation promotion, traffic signal control, high-occupancy driving lanes, road space rationing, recent vehicle-sharing and ride-sharing models, etc.3Santi P. Resta G. Szell M. Sobolevsky S. Strogatz S.H. Ratti C. Quantifying the benefits of vehicle pooling with shareability networks.Proc. Natl. Acad. Sci. USA. 2014; 111: 13290-13294Crossref PubMed Scopus (456) Google Scholar,4Hanna R. Kreindler G. Olken B.A. Citywide effects of high-occupancy vehicle restrictions: evidence from “three-in-one” in Jakarta.Science. 2017; 357: 89-93Crossref PubMed Scopus (32) Google Scholar,5Eliasson J. Efficient transport pricing–why, what, and when?.Commun. Trans. Res. 2021; 1: 100006Crossref Scopus (24) Google Scholar However, all these cannot essentially solve the problem because the root cause is the imbalance between ever-growing travel demand and fixed traffic capacity. Any strategic planning of the transport infrastructure cannot be based on the worst-case demand, and the traffic capacity of any road network is always capped by its bottlenecks, e.g., intersections of roads. Travel demand has increased steadily over the years because of urbanization, but large cities in the world have limited space to expand road capacity. Thus, traffic congestion cannot be solved on the ground, on the traditional two-dimensional surface. Since the road capacity on the ground cannot accommodate the travel demand, we turn to explore unused traffic capacity from the air, i.e., leveraging the three-dimensional cubic space. Such a solution has been recently revealed due to the rise of electric vertical-takeoff-and-landing (eVTOL) vehicles. Up to now, hundreds of eVTOL designs have been proposed. An eVTOL vehicle is an aircraft that uses electric power to hover, and it leverages designated helipads, called vertiports, to take off and land, exhibiting the following advantages compared with helicopters: less noise, a higher level of safety, more economical, and more environmentally friendly. These features suggest that eVTOLs shall become a key player in future urban mobility. EVTOLs drive the era of urban aerial mobility (UAM), a more convenient, efficient, and sustainable urban commuting option, moving future mobility off the road and into the air. Although there are some uncertainties, UAM is moving much faster than most imagine. The FAA has developed the UAM Concept of Operations version 1. NASA has proposed several initiatives to help emerging UAM players. European Union Aviation Safety Agency (EASA) is also working on several pilot projects to make UAM a reality in Europe within 3–5 years. Joby Aviation is expecting to launch its commercial aerial ride-sharing service in the United States by 2024. Japan’s government targeted 2023 as the starting date for commercial flying taxi services. EHang is close to eventual certification in China and will move to commercial operations in 2025. All these players endeavor to take the leading position in this emerging market. For UAM, vehicle technologies are close to being mature, and all the deployment plans expect it in 3–5 years. Morgan Stanley predicted that UAM will ultimately grow to a $9 trillion market globally. For such a giant market, and a close timeline for the deployment, we should be well prepared. Below, we highlight some urgently needed developments or challenges for the early stage of UAM and finally point out the roadmap to the future path of UAM. Although eVTOL vehicle technologies are ready for deployment, energy and power technologies are still the main bottlenecks that significantly affect the efficiency of UAM systems. Based on the current technologies, most energy will be consumed during the climbing and descending processes, so flying distances are relatively short, and batteries will need to be frequently recharged, so the utilization of eVTOL fleets are relatively low. Thus, for eVTOLs, high-energy-density batteries are always the direction, and keeping the batteries small and light is also critical for flying. Meanwhile, the design of the power systems should follow the principle of creating as little noise as possible, since flying aircraft will create noise pollution in urban environments. Future urban mobility systems rely heavily on advanced wireless communications to enable high data rates and low latency transmissions for being “smart.” For instance, the recent deployment of the fifth-generation (5G) mobile network led to a monumental application in connected and autonomous vehicles, so vehicles can efficiently communicate with control centers and nearby vehicles. Such a similar technology should also be in place for UAM. Traditional radar and radio communications, used for civil aviation, cannot be applied to low", "keywords": [ "Transport engineering", "Geography", "Urban planning", "Environmental planning", "Environmental science", "Civil engineering", "Engineering" ], "cited_by_openalex": 44, "cited_by_scopus": 0, "eid": null, "pii": null, "open_access_url": "https://doi.org/10.1016/j.xinn.2023.100392", "sources": [ { "db": "openalex", "stream": "UAV", "query_id": "UAV-1" }, { "db": "openalex", "stream": "UAV", "query_id": "UAV-3" } ], "streams": [ "UAV" ], "relevance_signals": [ "UAV" ], "auto_exclude_reason": null, "screening_status": "pending_human_screening", "screened_by": "auto-v1.0.0" }, { "id": "doi:10.1016/j.eswa.2023.121741", "doi": "10.1016/j.eswa.2023.121741", "title": "The drone-assisted vehicle routing problem with robot stations", "year": 2023, "authors": [ "André Morim", "Giovanni Campuzano", "Pedro Amorim", "Martijn Mes", "Eduardo Lalla‐Ruiz" ], "first_author": "André Morim", "venue": "Expert Systems with Applications", "volume": "238", "pages": null, "type": "article", "language": "en", "abstract": null, "keywords": [ "Solver", "Drone", "Computer science", "Job shop scheduling", "Metaheuristic", "Simulated annealing", "Truck", "Vehicle routing problem", "Mathematical optimization", "Robot", "Routing (electronic design automation)", "Integer programming" ], "cited_by_openalex": 41, "cited_by_scopus": "43", "eid": "2-s2.0-85173247425", "pii": "S0957417423022431", "open_access_url": "https://www.sciencedirect.com/science/article/pii/S0957417423022431", "sources": [ { "db": "openalex", "stream": "UAV", "query_id": "UAV-2" }, { "db": "scopus", "stream": "UAV", "query_id": "UAV-1" }, { "db": "scopus", "stream": "UAV", "query_id": "UAV-2" } ], "streams": [ "UAV" ], "relevance_signals": [ "UAV_NO_CTX", "TRUCK_NO_CTX" ], "auto_exclude_reason": "EC-4-topic", "screening_status": "auto_excluded", "screened_by": "auto-v1.0.0" }, { "id": "doi:10.1016/j.trip.2023.100795", "doi": "10.1016/j.trip.2023.100795", "title": "Addressing the emergence of drones – A policy development framework for regional drone transportation systems", "year": 2023, "authors": [ "Aishwarya Raghunatha", "Patrik Thollander", "Stephan Barthel" ], "first_author": "Aishwarya Raghunatha", "venue": "Transportation Research Interdisciplinary Perspectives", "volume": "18", "pages": null, "type": "article", "language": "en", "abstract": "The climate crisis demands an energy transition away from fossil fuels, and for the transport sector, this implies finding more electric or hydrogen-fuelled solutions. An emerging disruptive solution with high potential for improved sustainability is using drones as a mode of transport, i.e., Advanced Air Mobility for passenger and freight transport in urban and rural areas,fuelled by electricity or green hydrogen. As drones are being rapidly commercialized, there is a need for a policy framework for local and regional actors to address this in decision-making. This paper aims to develop a policy framework through a systematic literature review where findings have been validated by experts from industry and appropriate governance bodies. The results reveal three conceptual elements in the Advanced Air Mobility system where policy actions are needed: 1) primary technology, including vehicle-related aspects; 2) functionality, including infrastructure and operations; and 3) adoption, including the environment, market, and society. The overall lack of a multi-level governance model for Advanced Air Mobility and the scarcity of knowledge of the topic within vital fields such as energy systems and regional planning are also addressed. The findings are discussed in light of regulatory frameworks for drone transportation in Europe. The paper concludes with a policy development framework for regional Advanced Air Mobility deployment and provides policy implications.", "keywords": [ "Drone", "Software deployment", "Corporate governance", "Business", "Scarcity", "Sustainability", "Environmental economics", "Electricity", "Conceptual framework", "Environmental planning", "Industrial organization", "Economics" ], "cited_by_openalex": 37, "cited_by_scopus": "42", "eid": "2-s2.0-85149891933", "pii": "S2590198223000428", "open_access_url": "https://doi.org/10.1016/j.trip.2023.100795", "sources": [ { "db": "openalex", "stream": "UAV", "query_id": "UAV-3" }, { "db": "scopus", "stream": "UAV", "query_id": "UAV-3" } ], "streams": [ "UAV" ], "relevance_signals": [ "UAV_NO_CTX" ], "auto_exclude_reason": "EC-4-topic", "screening_status": "auto_excluded", "screened_by": "auto-v1.0.0" }, { "id": "doi:10.1109/access.2023.3329195", "doi": "10.1109/access.2023.3329195", "title": "Drone-Based Delivery Systems: A Survey on Route Planning", "year": 2023, "authors": [ "Giulio Attenni", "Viviana Arrigoni", "Novella Bartolini", "Gaia Maselli" ], "first_author": "Giulio Attenni", "venue": "IEEE Access", "volume": "11", "pages": "123476-123504", "type": "article", "language": "en", "abstract": "The ever-increasing demand for urban delivery services significantly exacerbates the traffic conditions on our already overly congested urban streets. The problem is even worsened by the dearth of appropriate parking facilities available for efficient offloading operations. As a result, there has been a surge of interest in exploring eco-friendly alternatives to traditional truck-based logistics. Drone technology has significant potential to enable widespread home delivery services and reduce the reliance on trucks within urban areas. Both the academy and the industry have shown interest in developing swiftly deployable and cost-effective delivery systems that rely on drones. This work provides a comprehensive review of the current state of Drone-based Delivery Systems. It explores the latest advancements, methodologies, and employed techniques with a specific emphasis on optimizing task scheduling and designing efficient routes for drone deliveries. It critically analyzes the advantages and drawbacks of existing solutions, contributing a thorough classification based on crucial system features, such as fleet composition, degree of device cooperation, and underlying infrastructure.", "keywords": [ "Drone", "Computer science", "Truck", "Scheduling (production processes)", "Transport engineering", "Work (physics)", "Risk analysis (engineering)", "Computer security", "Business", "Engineering", "Operations management" ], "cited_by_openalex": 40, "cited_by_scopus": "41", "eid": "2-s2.0-85177163820", "pii": null, "open_access_url": "https://ieeexplore.ieee.org/ielx7/6287639/6514899/10308587.pdf", "sources": [ { "db": "openalex", "stream": "TRUCK", "query_id": "TRUCK-2" }, { "db": "openalex", "stream": "TRUCK", "query_id": "TRUCK-3" }, { "db": "openalex", "stream": "UAV", "query_id": "UAV-3" }, { "db": "scopus", "stream": "TRUCK", "query_id": "TRUCK-3" }, { "db": "scopus", "stream": "UAV", "query_id": "UAV-3" } ], "streams": [ "TRUCK", "UAV" ], "relevance_signals": [ "UAV", "TRUCK" ], "auto_exclude_reason": null, "screening_status": "pending_human_screening", "screened_by": "auto-v1.0.0" }, { "id": "doi:10.1016/j.cie.2023.109003", "doi": "10.1016/j.cie.2023.109003", "title": "The drone-assisted variable speed asymmetric traveling salesman problem", "year": 2023, "authors": [ "Campuzano G." ], "first_author": "Campuzano G.", "venue": "Computers and Industrial Engineering", "volume": "176", "pages": null, "type": "Article", "language": null, "abstract": null, "keywords": [], "cited_by_openalex": 0, "cited_by_scopus": "41", "eid": "2-s2.0-85146425493", "pii": "S036083522300027X", "open_access_url": null, "sources": [ { "db": "scopus", "stream": "UAV", "query_id": "UAV-1" } ], "streams": [ "UAV" ], "relevance_signals": [ "UAV_NO_CTX" ], "auto_exclude_reason": "EC-4-topic", "screening_status": "auto_excluded", "screened_by": "auto-v1.0.0" }, { "id": "doi:10.1002/nav.22151", "doi": "10.1002/nav.22151", "title": "A branch‐and‐price‐and‐cut algorithm for the truck‐drone routing problem with simultaneously delivery and pickup", "year": 2023, "authors": [ "Dongwei Li", "Joshua Ignatius", "Dujuan Wang", "Yunqiang Yin", "T.C.E. Cheng" ], "first_author": "Dongwei Li", "venue": "Naval Research Logistics (NRL)", "volume": "71", "pages": "241-285", "type": "article", "language": "en", "abstract": "Abstract Increasing environmental concerns and e‐commerce has attracted a growing focus on reverse logistics that not only delivers some goods to customers but also picks up other goods from customers. To achieve cost‐efficient and fast deliveries, integrating drones into the delivery and pickup services provides a competitive advantage, which however increases the operational challenges. We consider a truck‐drone routing problem with simultaneous delivery and pickup, where each truck carries a set of heterogeneous drones. Each truck can simultaneously perform its own delivery and pickup, and serve as an intermediate movable depot from which multiple drones can be dispatched to serve customers when the truck arrives at a customer, and the truck must wait until all the drones return. The energy consumption of drones is considered during their flights. All the delivery services must be performed, whereas the pickup services are optional with certain rewards. The objective is to find the synthetic‐routes of the truck‐drone combinations so as to minimize the sum of the assignment cost and the transport cost of the trucks and drones minus the total pickup revenue. To solve the problem, we devise a tailored branch‐and‐price‐and‐cut algorithm incorporating a specialized two‐stage bidirectional labeling algorithm to solve the challenging pricing problem. To enhance the efficiency of the algorithm, we use the subset‐row inequalities to tighten the lower bound, and apply some heuristic pricing strategies to quickly solve the pricing problem. We perform extensive numerical studies to assess the performance of the developed algorithm, analyze the merit of the truck‐drone cooperative service mode over the truck‐only service mode and the superiority of the configuration with heterogeneous drones, and ascertain the impacts of the key model parameters to generate managerial insights. We also show how our model would perform should it be used for the medical supply delivery and pickup in Shenzhen, China.", "keywords": [ "Pickup", "Truck", "Drone", "Computer science", "Revenue", "Routing (electronic design automation)", "Heuristic", "Vehicle routing problem", "Operations research", "Mathematical optimization", "Business", "Engineering" ], "cited_by_openalex": 41, "cited_by_scopus": "40", "eid": "2-s2.0-85171420584", "pii": null, "open_access_url": "https://doi.org/10.1002/nav.22151", "sources": [ { "db": "openalex", "stream": "TRUCK", "query_id": "TRUCK-3" }, { "db": "openalex", "stream": "UAV", "query_id": "UAV-2" }, { "db": "scopus", "stream": "TRUCK", "query_id": "TRUCK-3" }, { "db": "scopus", "stream": "UAV", "query_id": "UAV-2" } ], "streams": [ "TRUCK", "UAV" ], "relevance_signals": [ "UAV_NO_CTX", "TRUCK_NO_CTX" ], "auto_exclude_reason": "EC-4-topic", "screening_status": "auto_excluded", "screened_by": "auto-v1.0.0" }, { "id": "doi:10.1016/j.xinn.2023.100393", "doi": "10.1016/j.xinn.2023.100393", "title": "Urban aerial mobility: Network structure, transportation benefits, and Sino-US comparison", "year": 2023, "authors": [ "Kai Wang", "Aoyong Li", "Xiaobo Qu" ], "first_author": "Kai Wang", "venue": "The Innovation", "volume": null, "pages": null, "type": "article", "language": "en", "abstract": "Large cities worldwide suffer from traffic congestion, leading to huge economic, social, and environmental costs.1Zhang L. Zeng G. Li D. et al.Scale-free resilience of real traffic jams.Proc. Natl. Acad. Sci. USA. 2019; 116: 8673-8678Crossref PubMed Scopus (84) Google Scholar Various measures have been taken, spanning congestion pricing, public transportation promotion, high-occupancy driving lanes, and road space rationing to recent on-demand ride-sharing models, etc.2Hanna R. Kreindler G. Olken B.A. Citywide effects of high-occupancy vehicle restrictions: evidence from “three-in-one” in Jakarta.Science. 2017; 357: 89-93Crossref PubMed Scopus (32) Google Scholar,3Vazifeh M.M. Santi P. Resta G. et al.Addressing the minimum fleet problem in on-demand urban mobility.Nature. 2018; 557: 534-538Crossref PubMed Scopus (211) Google Scholar,4Eliasson J. Efficient transport pricing–why, what, and when?.Commun. Trans. Res. 2021; 1: 100006Crossref Scopus (24) Google Scholar However, none of them can solve this inherent problem due to the asymmetry between transport infrastructure and dynamic travel demand. Opportunities to expand road capacity are rare, but an emerging on-demand transportation mode, urban aerial mobility (UAM), is unlocking tremendous traffic capacity in the urban low-altitude space, leading to a perfect solution to traffic congestion.5McKinsey & CompanyThe future of air mobility: electric aircraft and flying taxis.https://www.mckinsey.com/featured-insights/the-next-normal/air-taxisDate: 2022Google Scholar The rise of UAM is thanks to the recent developments of electric vertical-takeoff-and-landing (eVTOL) vehicles. These vehicles leverage the infrastructure of vertiports for takeoff and landing and are coupled with ground vehicles to provide commuting services, where ground vehicles offer first-mile and last-mile travels to and from vertiports, and eVTOLs are used to commute between vertiports.6Kai W. Jacquillat A. Vaze V. Vertiport planning for urban aerial mobility: an adaptive discretization approach.Manuf. Serv. Oper. Manag. 2022; 24: 3215-3235Crossref Scopus (1) Google Scholar The whole UAM industry is expecting a bright future, but there is a lack of systematic understanding of it. Specifically, what would be the network structure of UAM in cities? What are the transportation benefits of UAM? How does UAM affect traffic congestion? These questions will be fundamental for stakeholders to invest in UAM, for city authorities to promote UAM as a new commuting option, for regulation makers and UAM operators to plan for the deployment, etc. To fully understand UAM, the first step is to deploy the vertiport network since it constitutes the foundation of UAM, and the next is to investigate UAM operations and the potential demands for interpreting the transportation benefits of UAM. Specifically, inside a metropolitan area, how do we select the locations of vertiports to support UAM operations? Built upon a UAM network, what would be the interactions between the supply side of UAM operations and the demand side of passengers’ adoption? Once we have the UAM network and the interactions between supply and demand, we can proceed to interpret the UAM system. Here, we leverage the integrated UAM planning model proposed by Wang et al.6Kai W. Jacquillat A. Vaze V. Vertiport planning for urban aerial mobility: an adaptive discretization approach.Manuf. Serv. Oper. Manag. 2022; 24: 3215-3235Crossref Scopus (1) Google Scholar We investigate the UAM systems of major metropolitan areas or cities in the US and China to have a systematic understanding of UAM and to make comparisons. At a city or a metropolitan area level, the physical existence of a UAM system lies in the network of vertiports that constitutes the foundation of UAM operations. Figure 1A shows the networks of four representative metropolitan areas or cities in the US and China, respectively. In general, a UAM network is a hub-and-spoke network structure where flying by eVTOLs is for connections between hubs (i.e., vertiports) and ground transportation is for connections between spokes and hubs. However, compared with other traditional hub-and-spoke networks, e.g., airline networks, the main difference is that the hubs are not used to aggregate demand to operate large vehicles/aircraft to lower the cost per passenger, and they are used to enable more frequent flights between vertiports, and thus more frequent eVTOL movements, to improve the level of service reliability of UAM. This essentially attributes to the difference between the on-demand business model and the on-schedule business model, where the former emphasizes service reliability, and the latter emphasizes capacity utilization. A UAM system is centralized for a city or metropolitan area and covers urban areas instead of being widely spread over urban areas and rural areas. The reason is that a centralized system enables efficient operations that can, on the one hand, reduce operational costs and, on the other hand, improve the level of service to attract more customers. UAM provides a better option for medium-to long-distance commutes. This is due to the fact that for a UAM trip, there will be detours for the first-mile and last-mile transportation, by using the ground transportation. For short-distance commutes, the benefit of a short flight cannot compensate for the loss in the detours and thus does not lead to an acceptable travel time reduction of UAM compared with direct door-to-door ground transportation. This indicates that UAM will be more like a substitute for commuter rails (usually for medium-to long-distance commutes) as opposed to local bus systems (usually for short-distance commutes). UAM systems are varied across different cities. In the New York Bay Area, San Francisco Bay Area, and the Guangdong-Hong Kong-Macau Greater Bay Area, the UAM systems are constructed to bridge these bay or water areas for better connectivity. For cities with better road connect", "keywords": [ "Transport engineering", "Aerial imagery", "Business", "Geography", "Engineering", "Remote sensing" ], "cited_by_openalex": 40, "cited_by_scopus": 0, "eid": null, "pii": null, "open_access_url": "https://doi.org/10.1016/j.xinn.2023.100393", "sources": [ { "db": "openalex", "stream": "UAV", "query_id": "UAV-3" } ], "streams": [ "UAV" ], "relevance_signals": [ "UAV" ], "auto_exclude_reason": null, "screening_status": "pending_human_screening", "screened_by": "auto-v1.0.0" }, { "id": "doi:10.1109/tmc.2022.3157957", "doi": "10.1109/tmc.2022.3157957", "title": "KeepEdge: A Knowledge Distillation Empowered Edge Intelligence Framework for Visual Assisted Positioning in UAV Delivery", "year": 2023, "authors": [ "Luo H." ], "first_author": "Luo H.", "venue": "IEEE Transactions on Mobile Computing", "volume": "22", "pages": "4729-4741", "type": "Article", "language": null, "abstract": null, "keywords": [], "cited_by_openalex": 0, "cited_by_scopus": "40", "eid": "2-s2.0-85126273893", "pii": null, "open_access_url": null, "sources": [ { "db": "scopus", "stream": "UAV", "query_id": "UAV-1" } ], "streams": [ "UAV" ], "relevance_signals": [ "UAV_NO_CTX" ], "auto_exclude_reason": "EC-4-topic", "screening_status": "auto_excluded", "screened_by": "auto-v1.0.0" }, { "id": "doi:10.1016/j.scs.2023.104950", "doi": "10.1016/j.scs.2023.104950", "title": "Integrated Mobility Hub Location Selection for Sustainable Urban Mobility", "year": 2023, "authors": [ "Jaehyun Jason So", "Munhyun Chae", "Jiho Hong", "Juhyoun Youm", "Sang Hyun Kim", "Jinhee Kim" ], "first_author": "Jaehyun Jason So", "venue": "Sustainable Cities and Society", "volume": "99", "pages": null, "type": "article", "language": "en", "abstract": null, "keywords": [ "Mobility model", "Transport engineering", "Metropolitan area", "Selection (genetic algorithm)", "Computer science", "Obstacle", "Prioritization", "Engineering", "Telecommunications", "Geography" ], "cited_by_openalex": 40, "cited_by_scopus": "39", "eid": "2-s2.0-85172908853", "pii": "S2210670723005619", "open_access_url": "https://doi.org/10.1016/j.scs.2023.104950", "sources": [ { "db": "openalex", "stream": "UAV", "query_id": "UAV-3" }, { "db": "scopus", "stream": "UAV", "query_id": "UAV-3" } ], "streams": [ "UAV" ], "relevance_signals": [ "NO_TECHNOLOGY_MATCH" ], "auto_exclude_reason": "EC-4-topic", "screening_status": "auto_excluded", "screened_by": "auto-v1.0.0" }, { "id": "doi:10.3390/systems11100509", "doi": "10.3390/systems11100509", "title": "Evolution, Challenges, and Opportunities of Transportation Methods in the Last-Mile Delivery Process", "year": 2023, "authors": [ "Xiaonan Zhu", "Lanhui Cai", "Po‐Lin Lai", "Xueqin Wang", "Fei Ma" ], "first_author": "Xiaonan Zhu", "venue": "Systems", "volume": "11", "pages": null, "type": "article", "language": "en", "abstract": "The rapid development of modern logistics and e-commerce highlights the importance of exploring various modes of transportation in the last-mile delivery (LMD) process. However, no comprehensive studies exist in the literature exploring all modes of LMD transportation, the changes in these transportation modes, and the commonalities between them. In this study, we address this gap by conducting a systematic review of 150 academic journal articles utilizing a combination of the Preferred Reporting Items for Systematic Review and Meta-Analyses (PRISMA) content analysis and text mining analysis. Nine primary transportation methods (parcel lockers, autonomous drones, trucks, bicycles, crowd logistics, electric vehicles, tricycles, autonomous robots, and autonomous vehicles) are identified in this research. Additionally, we provide an analysis of the historical changes in these transportation modes in LMD. Using a bottom-up induction method, we identify the three major clusters of scholarly focus in the LMD literature: emphasis on value co-creation between consumers and logistics providers, practical delivery performance (path optimization or algorithms), and environmental friendliness. Further, we analyze the main themes under each cluster, leading to the identification of opportunities, challenges, and future research agendas. Our findings have implications for scholars, policymakers, and other stakeholders involved in LMD transportation modes.", "keywords": [ "Truck", "Last mile (transportation)", "Process (computing)", "Identification (biology)", "City logistics", "Drone", "Business", "Transport engineering", "Supply chain", "Computer science", "Mile", "Marketing" ], "cited_by_openalex": 41, "cited_by_scopus": "38", "eid": "2-s2.0-85175046099", "pii": null, "open_access_url": "https://www.mdpi.com/2079-8954/11/10/509/pdf?version=1696997115", "sources": [ { "db": "openalex", "stream": "TRUCK", "query_id": "TRUCK-1" }, { "db": "openalex", "stream": "UAV", "query_id": "UAV-1" }, { "db": "scopus", "stream": "TRUCK", "query_id": "TRUCK-1" }, { "db": "scopus", "stream": "UAV", "query_id": "UAV-1" } ], "streams": [ "TRUCK", "UAV" ], "relevance_signals": [ "UAV", "TRUCK" ], "auto_exclude_reason": null, "screening_status": "pending_human_screening", "screened_by": "auto-v1.0.0" }, { "id": "doi:10.1109/tits.2023.3234627", "doi": "10.1109/tits.2023.3234627", "title": "How the Wind Can Be Leveraged for Saving Energy in a Truck-Drone Delivery System", "year": 2023, "authors": [ "Francesco Betti Sorbelli", "Federico Corò", "Lorenzo Palazzetti", "Cristina Maria Pinotti", "Giulio Rigoni" ], "first_author": "Francesco Betti Sorbelli", "venue": "IEEE Transactions on Intelligent Transportation Systems", "volume": "24", "pages": "4038-4049", "type": "article", "language": "en", "abstract": "In this work, we investigate the impact of the wind in a drone-based delivery system. For the first time, to the best of our knowledge, we adapt the trajectory of the drone to the wind. We consider a truck-drone tandem delivery system. The drone actively reacts to the wind adopting the “most tailwind” trajectory available between the truck’s path and the delivery. The truck moves on a predefined route and carries the drone close to the delivery point. We propose the Minimum-energy Drone-trajectory Problem (MDP) which aims, when the wind affects the delivery area, at planning minimum-energy trajectories for the drone to serve the customers starting from and returning to the truck. We then propose two algorithms that optimally solve MDP under two different routes of the truck. We also analytically study the feasibility of sending drones with limited battery to deliver packages. Finally, we first numerically compare our algorithms on randomly generated synthetic and real data, and then we evaluate our model simulating the drone’s flight in the BlueSky simulator.", "keywords": [ "Drone", "Truck", "Wind power", "Automotive engineering", "Aeronautics", "Computer science", "Aerospace engineering", "Environmental science", "Engineering", "Electrical engineering" ], "cited_by_openalex": 34, "cited_by_scopus": "38", "eid": "2-s2.0-85147206129", "pii": null, "open_access_url": "https://ieeexplore.ieee.org/ielx7/6979/10086684/10014537.pdf", "sources": [ { "db": "openalex", "stream": "UAV", "query_id": "UAV-3" }, { "db": "scopus", "stream": "UAV", "query_id": "UAV-3" } ], "streams": [ "UAV" ], "relevance_signals": [ "UAV_NO_CTX", "TRUCK_NO_CTX" ], "auto_exclude_reason": "EC-4-topic", "screening_status": "auto_excluded", "screened_by": "auto-v1.0.0" }, { "id": "doi:10.1016/j.trc.2023.104448", "doi": "10.1016/j.trc.2023.104448", "title": "A cyber-physical social system for autonomous drone trajectory planning in last-mile superchilling delivery", "year": 2023, "authors": [ "Haishi Liu", "Yung Po Tsang", "C.K.M. Lee" ], "first_author": "Haishi Liu", "venue": "Transportation Research Part C Emerging Technologies", "volume": "158", "pages": null, "type": "article", "language": "en", "abstract": null, "keywords": [ "Drone", "Heuristic", "Computer science", "Last mile (transportation)", "Trajectory", "Operations research", "Mile", "Transport engineering", "Simulation", "Engineering", "Artificial intelligence" ], "cited_by_openalex": 36, "cited_by_scopus": "37", "eid": "2-s2.0-85179487660", "pii": "S0968090X23004382", "open_access_url": "https://doi.org/10.1016/j.trc.2023.104448", "sources": [ { "db": "openalex", "stream": "UAV", "query_id": "UAV-1" }, { "db": "scopus", "stream": "UAV", "query_id": "UAV-1" } ], "streams": [ "UAV" ], "relevance_signals": [ "UAV" ], "auto_exclude_reason": null, "screening_status": "pending_human_screening", "screened_by": "auto-v1.0.0" }, { "id": "doi:10.3390/s23177472", "doi": "10.3390/s23177472", "title": "A Real-Time Path Planning Method for Urban Low-Altitude Logistics UAVs", "year": 2023, "authors": [ "Minyi Deng", "Qingqing Yang", "Yi Peng" ], "first_author": "Minyi Deng", "venue": "Sensors", "volume": "23", "pages": null, "type": "article", "language": "en", "abstract": "To solve the problem of poor real-time performance in path planning algorithms for unmanned aerial vehicles (UAVs) in low-altitude urban logistics, a path planning method combining modified Beetle Antennae Search (BAS) with the Simulated Annealing (SA) algorithm is proposed. Firstly, based on the requirements of task execution and constraints of UAV flight, a fitness function for real-time search of waypoints is designed while ensuring the safety and obstacle avoidance of the UAV. Then, to improve the search accuracy and real-time performance, determining the initial search direction in the BAS algorithm is improved, while the search step size and antennae sensing length are updated in real-time according to the distance between the UAV and the obstacle. Finally, the SA algorithm is combined with the BAS algorithm to update the waypoints, expanding the search range of each waypoint, avoiding the process of updating the waypoints from becoming trapped in the local optimal waypoints. Meanwhile, the effectiveness of the next waypoint is evaluated based on the Metropolis criterion. This paper generates a virtual urban logistics distribution environment based on the density and distribution of urban buildings, and compares the performance of algorithms in obstacle-sparse, obstacle-moderate, and obstacle-dense environments. The simulation results demonstrate that the improved method in this paper has a more significant capacity for environmental adaptation. In terms of the path length, waypoints, safety obstacle avoidance, and smoothness, the planned path outperforms the original BAS method. It satisfies the needs of real-time path planning for UAVs involved in urban low-altitude logistics.", "keywords": [ "Waypoint", "Obstacle", "Motion planning", "Obstacle avoidance", "Computer science", "Real-time computing", "Simulated annealing", "Path (computing)", "Smoothness", "Mathematical optimization", "Simulation", "Algorithm" ], "cited_by_openalex": 40, "cited_by_scopus": "37", "eid": "2-s2.0-85170343916", "pii": null, "open_access_url": "https://www.mdpi.com/1424-8220/23/17/7472/pdf?version=1693216997", "sources": [ { "db": "openalex", "stream": "UAV", "query_id": "UAV-1" }, { "db": "scopus", "stream": "UAV", "query_id": "UAV-1" } ], "streams": [ "UAV" ], "relevance_signals": [ "UAV" ], "auto_exclude_reason": null, "screening_status": "pending_human_screening", "screened_by": "auto-v1.0.0" }, { "id": "doi:10.1016/j.eswa.2023.120260", "doi": "10.1016/j.eswa.2023.120260", "title": "Drone routing problem with truck: Optimization and quantitative analysis", "year": 2023, "authors": [ "Ho Young Jeong", "Seokcheon Lee" ], "first_author": "Ho Young Jeong", "venue": "Expert Systems with Applications", "volume": "227", "pages": null, "type": "article", "language": "en", "abstract": null, "keywords": [ "Drone", "Truck", "Computer science", "Heuristic", "Routing (electronic design automation)", "Vehicle routing problem", "Operations research", "Computer network", "Engineering", "Artificial intelligence", "Automotive engineering" ], "cited_by_openalex": 32, "cited_by_scopus": "37", "eid": "2-s2.0-85158842717", "pii": "S0957417423007625", "open_access_url": "https://doi.org/10.1016/j.eswa.2023.120260", "sources": [ { "db": "openalex", "stream": "UAV", "query_id": "UAV-2" }, { "db": "scopus", "stream": "UAV", "query_id": "UAV-2" } ], "streams": [ "UAV" ], "relevance_signals": [ "UAV_NO_CTX", "TRUCK_NO_CTX" ], "auto_exclude_reason": "EC-4-topic", "screening_status": "auto_excluded", "screened_by": "auto-v1.0.0" }, { "id": "doi:10.1155/2023/1183764", "doi": "10.1155/2023/1183764", "title": "Multivisit Drone-Vehicle Routing Problem with Simultaneous Pickup and Delivery considering No-Fly Zones", "year": 2023, "authors": [ "Yanqiu Liu", "Jing Han", "Ying Zhang", "Yan Li", "Tao Jiang" ], "first_author": "Yanqiu Liu", "venue": "Discrete Dynamics in Nature and Society", "volume": "2023", "pages": null, "type": "article", "language": "en", "abstract": "The employment of drones for the distribution of goods represents a significant avenue for addressing logistical challenges at the end of the supply chain. The truck-drone cooperative delivery model overcomes drone limitations such as limited capacity and endurance and has emerged as a crucial mode of drone participation in logistics delivery. This delivery model effectively reduces delivery costs and shortens delivery times. Herein, we examine a variant of the truck-drone routing problem, which encompasses the strategic deployment and routing of multiple fleets of trucks, each equipped with an auxiliary drone. The objective is to fulfill all the pickup and delivery demands of a designated customer base while minimizing the overall route cost. Within this problem domain, drones are authorized to serve multiple customers within their capacity and endurance limits, providing both pickup and delivery services during each trip. However, the utilization of drones for servicing all customers is impeded by the existence of no-fly zones that have been implemented in numerous cities worldwide. These prescribed no-fly zones cause significant challenges when attempting to optimize the routing of truck-drone operations. Thus, this study constructs a mixed integer linear programming (MILP) model for the path optimization problem of joint service of trucks and drones considering no-fly zones and simultaneous pickup and delivery. Given the intricacy of the MILP model, we propose a two-stage heuristic algorithm based on a simulated annealing approach, combined with strategies for rectifying infeasible solutions and expediting algorithmic processes. During the phase of computational experimentation, we explore the advantages derived from enabling drones to serve multiple customers and assess the effectiveness of the proposed model and two-stage heuristic algorithm. Finally, sensitivity analysis is conducted on two key parameters.", "keywords": [ "Drone", "Truck", "Computer science", "Pickup", "Routing (electronic design automation)", "Vehicle routing problem", "Heuristic", "Integer programming", "Supply chain", "Operations research", "Transport engineering", "Business" ], "cited_by_openalex": 21, "cited_by_scopus": "37", "eid": "2-s2.0-85171855912", "pii": null, "open_access_url": "https://downloads.hindawi.com/journals/ddns/2023/1183764.pdf", "sources": [ { "db": "openalex", "stream": "UAV", "query_id": "UAV-2" }, { "db": "scopus", "stream": "UAV", "query_id": "UAV-2" } ], "streams": [ "UAV" ], "relevance_signals": [ "UAV_NO_CTX", "TRUCK_NO_CTX" ], "auto_exclude_reason": "EC-4-topic", "screening_status": "auto_excluded", "screened_by": "auto-v1.0.0" }, { "id": "doi:10.1016/j.jairtraman.2023.102486", "doi": "10.1016/j.jairtraman.2023.102486", "title": "An integrated vertiport placement model considering vehicle sizing and queuing: A case study in London", "year": 2023, "authors": [ "Jose Javier Escribano Macias", "Carl Khalife", "Joseph Slim", "Panagiotis Angeloudis" ], "first_author": "Jose Javier Escribano Macias", "venue": "Journal of Air Transport Management", "volume": "113", "pages": null, "type": "article", "language": "en", "abstract": "The increasing level of congestion and infrastructure costs in cities have created a need for more intelligent and flexible transport systems. Urban Air Mobility (UAM) introduces the third dimension to intra-urban transport at a minimal infrastructure cost, bypassing congestion and providing reliable travel times to users through the provision of air passenger transportation. The performance of UAM systems is highly dependent on vertiport locations, vehicle sizing and infrastructure specifications, which themselves are intrinsically linked. This study takes a holistic approach to UAM network optimisation by considering the inter-relatedness of these decisions in a three-stage algorithm. In the first stage, a linear vertiport placement model with vehicle sizing constraints is developed to determine the optimal vertiport configuration while considering eVTOL performance. The vertiport configuration serves to determine the operational requirements of the aircraft and are incorporated in the vehicle sizing models. The resulting network configuration and vehicle sizing constraints are used as inputs in the infrastructure model, which utilises open network theory to determine the service rate requirements and the allowed loiter and waiting times based on the number of take-off, landing, and charging pads at each vertiport. These stages are executed sequentially through a feedback mechanism, which balances the infrastructure, operational costs as well as passenger waiting times. The algorithm optimises the profitability of the UAM network ensuring all operational constraints are satisfied. A case study based on the hypothetical implementation of UAM in the city of London is presented using Rolling Origin and Destination Survey data to estimate demand patterns. Our results suggest that ignoring vehicle sizing and infrastructure modelling in the network optimisation stage results in infeasible UAM networks. Furthermore, reducing waiting times and loiter times are critical to reduce operational costs of the UAM network, with all optimal configurations yielding waiting times below 5% of the total flight time. The proposed method can be used to plan future UAM developments whilst ensuring operational viability.", "keywords": [ "Sizing", "Queueing theory", "Profitability index", "Computer science", "Service (business)", "Operations research", "Transport engineering", "Simulation", "Engineering", "Computer network" ], "cited_by_openalex": 27, "cited_by_scopus": "37", "eid": "2-s2.0-85171671990", "pii": "S0969699723001291", "open_access_url": "https://doi.org/10.1016/j.jairtraman.2023.102486", "sources": [ { "db": "openalex", "stream": "UAV", "query_id": "UAV-3" }, { "db": "scopus", "stream": "UAV", "query_id": "UAV-3" } ], "streams": [ "UAV" ], "relevance_signals": [ "UAV" ], "auto_exclude_reason": null, "screening_status": "pending_human_screening", "screened_by": "auto-v1.0.0" }, { "id": "doi:10.3390/drones7070407", "doi": "10.3390/drones7070407", "title": "Development of Heuristic Approaches for Last-Mile Delivery TSP with a Truck and Multiple Drones", "year": 2023, "authors": [ "Marco Rinaldi", "Stefano Primatesta", "Martin Bugaj", "Ján Rostáš", "Giorgio Guglieri" ], "first_author": "Marco Rinaldi", "venue": "Drones", "volume": "7", "pages": null, "type": "article", "language": "en", "abstract": "Unmanned Aerial Vehicles (UAVs) are gaining momentum in many civil and military sectors. An example is represented by the logistics sector, where UAVs have been proven to be able to improve the efficiency of the process itself, as their cooperation with trucks can decrease the delivery time and reduce fuel consumption. In this paper, we first state a mathematical formulation of the Travelling Salesman Problem (TSP) applied to logistic routing, where a truck cooperates synchronously with multiple UAVs for parcel delivery. Then, we propose, implement, and compare different sub-optimal routing approaches to the formulated mFSTSP (multiple Flying Sidekick Travelling Salesman Problem) since the inherent combinatorial computational complexity of the problem makes it unattractable for commercial Mixed-Integer Linear Programming (MILP) solvers. A local search algorithm, two hybrid genetic algorithms that permutate feasible and infeasible solutions, and an alternative ad-hoc greedy method are evaluated in terms of the total delivery time of the output schedule. For the sake of the evaluation, the savings in terms of delivery time over the well-documented truck-only TSP solution are investigated for each proposed routing solution, and this is repeated for two different scenarios. Monte Carlo simulations corroborate the results.", "keywords": [ "Travelling salesman problem", "Vehicle routing problem", "Truck", "Mathematical optimization", "Computer science", "Traveling purchaser problem", "Routing (electronic design automation)", "Drone", "Schedule", "Heuristic", "Greedy algorithm", "Integer programming" ], "cited_by_openalex": 34, "cited_by_scopus": "36", "eid": "2-s2.0-85166320339", "pii": null, "open_access_url": "https://www.mdpi.com/2504-446X/7/7/407/pdf?version=1687857556", "sources": [ { "db": "openalex", "stream": "TRUCK", "query_id": "TRUCK-1" }, { "db": "openalex", "stream": "UAV", "query_id": "UAV-1" }, { "db": "scopus", "stream": "TRUCK", "query_id": "TRUCK-1" }, { "db": "scopus", "stream": "UAV", "query_id": "UAV-1" }, { "db": "scopus", "stream": "UAV", "query_id": "UAV-2" } ], "streams": [ "TRUCK", "UAV" ], "relevance_signals": [ "UAV", "TRUCK" ], "auto_exclude_reason": null, "screening_status": "pending_human_screening", "screened_by": "auto-v1.0.0" }, { "id": "doi:10.1016/j.trc.2023.104022", "doi": "10.1016/j.trc.2023.104022", "title": "Pickup and delivery with lockers", "year": 2023, "authors": [ "Mauro Dell’Amico", "Roberto Montemanni", "Stefano Novellani" ], "first_author": "Mauro Dell’Amico", "venue": "Transportation Research Part C Emerging Technologies", "volume": "148", "pages": null, "type": "article", "language": "en", "abstract": "We define a pickup and delivery routing problem with time windows that arises in last-mile delivery. A customer can be served either directly at home, by one of the available capacitated trucks, or via lockers, that allow a self-service option. On the same route, the couriers must deliver the parcels and collect the packages that the customers intend to return. The returned parcels can be picked up directly at the customers’ homes or at a locker. Customers can select home service, self-service at one of the nearby lockers with a discount, or let the logistics company decide. All services must be performed within a given time window. We propose three formulations, two branch-and-cut algorithms, and some valid inequalities. We also investigate the case with a single vehicle, with different types of time windows, including no time windows. Moreover, we show how to accommodate simultaneous pickup and delivery and multiple requests from a customer.", "keywords": [ "Pickup", "Computer science", "Last mile (transportation)", "Truck", "Service (business)", "Window (computing)", "Vehicle routing problem", "City logistics", "Routing (electronic design automation)", "Business", "Operating system", "Transport engineering" ], "cited_by_openalex": 35, "cited_by_scopus": "36", "eid": "2-s2.0-85147258471", "pii": "S0968090X23000116", "open_access_url": "https://www.sciencedirect.com/science/article/pii/S0968090X23000116", "sources": [ { "db": "openalex", "stream": "TRUCK", "query_id": "TRUCK-1" }, { "db": "scopus", "stream": "TRUCK", "query_id": "TRUCK-1" } ], "streams": [ "TRUCK" ], "relevance_signals": [ "TRUCK" ], "auto_exclude_reason": null, "screening_status": "pending_human_screening", "screened_by": "auto-v1.0.0" }, { "id": "doi:10.3390/drones7070464", "doi": "10.3390/drones7070464", "title": "Impact of Wind on eVTOL Operations and Implications for Vertiport Airside Traffic Flows: A Case Study of Hamburg and Munich", "year": 2023, "authors": [ "Karolin Schweiger", "Reinhard Schmitz", "Franz Knabe" ], "first_author": "Karolin Schweiger", "venue": "Drones", "volume": "7", "pages": null, "type": "article", "language": "en", "abstract": "This study examines the impact of wind/gust speed conditions on airside traffic flows at vertiports in the context of on-demand urban air mobility based on the Vertidrome Airside Level of Service Framework. A wind-dependent operational concept introducing four wind speed categories with corresponding wind-dependent separation values is developed and applied in simulation. A decade (2011–2020) of historical METAR wind/gust speed reports are analyzed for a potential vertiport location at Hamburg and Munich airport, and a representative year of wind speed data is selected for each location as simulation input. Both locations experience performance degradation during the first quarter of the simulated year, which contains over 50% of the annual flight cancellations, and exceed wind-operating conditions, especially during midday and early afternoon hours. This study discusses the importance of wind-dependent coordination of flight schedules and analyzes the challenge of determining appropriate wind speed category thresholds. Lower thresholds result in an increased frequency of operationally unfavorable wind/gust conditions. Additional sensitivity analyses are performed to study the effects of wind-dependent separation deltas and wind-(in)dependent scheduling approaches. In conclusion, the presented approach enables planners and operators to make informed decisions about vertiport traffic flow characteristics and performance, vertiport location, and business cases.", "keywords": [ "Wind speed", "Environmental science", "Meteorology", "Context (archaeology)", "Separation (statistics)", "Wind direction", "Transport engineering", "Computer science", "Engineering", "Geography" ], "cited_by_openalex": 37, "cited_by_scopus": "36", "eid": "2-s2.0-85166311948", "pii": null, "open_access_url": "https://www.mdpi.com/2504-446X/7/7/464/pdf?version=1689171456", "sources": [ { "db": "openalex", "stream": "UAV", "query_id": "UAV-3" }, { "db": "scopus", "stream": "UAV", "query_id": "UAV-3" } ], "streams": [ "UAV" ], "relevance_signals": [ "UAV_NO_CTX" ], "auto_exclude_reason": "EC-4-topic", "screening_status": "auto_excluded", "screened_by": "auto-v1.0.0" }, { "id": "doi:10.1016/j.scs.2023.104797", "doi": "10.1016/j.scs.2023.104797", "title": "Repurposing urban air mobility infrastructure for sustainable transportation in metropolitan cities: A case study of vertiports in São Paulo, Brazil", "year": 2023, "authors": [ "Jussan Knupp Ribeiro", "Giovanna Miceli Ronzani Borille", "Mauro Caetano", "Evandro José da Silva" ], "first_author": "Jussan Knupp Ribeiro", "venue": "Sustainable Cities and Society", "volume": null, "pages": null, "type": "article", "language": "en", "abstract": null, "keywords": [ "Metropolitan area", "Transport engineering", "Sustainable transport", "Transportation infrastructure", "Repurposing", "Environmental planning", "Environmental science", "Sustainability", "Geography", "Engineering" ], "cited_by_openalex": 36, "cited_by_scopus": 0, "eid": null, "pii": null, "open_access_url": "https://doi.org/10.1016/j.scs.2023.104797", "sources": [ { "db": "openalex", "stream": "UAV", "query_id": "UAV-3" } ], "streams": [ "UAV" ], "relevance_signals": [ "UAV_NO_CTX" ], "auto_exclude_reason": "EC-4-topic", "screening_status": "auto_excluded", "screened_by": "auto-v1.0.0" }, { "id": "doi:10.1016/j.engappai.2023.106085", "doi": "10.1016/j.engappai.2023.106085", "title": "Solving routing problems for multiple cooperative Unmanned Aerial Vehicles using Transformer networks", "year": 2023, "authors": [ "Fuertes D." ], "first_author": "Fuertes D.", "venue": "Engineering Applications of Artificial Intelligence", "volume": "122", "pages": null, "type": "Article", "language": null, "abstract": null, "keywords": [], "cited_by_openalex": 0, "cited_by_scopus": "36", "eid": "2-s2.0-85149801758", "pii": "S0952197623002695", "open_access_url": null, "sources": [ { "db": "scopus", "stream": "UAV", "query_id": "UAV-2" } ], "streams": [ "UAV" ], "relevance_signals": [ "UAV_NO_CTX" ], "auto_exclude_reason": "EC-4-topic", "screening_status": "auto_excluded", "screened_by": "auto-v1.0.0" }, { "id": "doi:10.1016/j.eswa.2023.120945", "doi": "10.1016/j.eswa.2023.120945", "title": "The two-echelon vehicle routing problem with time windows, intermediate facilities, and occasional drivers", "year": 2023, "authors": [ "Vincent F. Yu", "Panca Jodiawan", "Albert H. Schrotenboer", "Ming-Lu Hou" ], "first_author": "Vincent F. Yu", "venue": "Expert Systems with Applications", "volume": "234", "pages": null, "type": "article", "language": "en", "abstract": null, "keywords": [ "Vehicle routing problem", "Transshipment (information security)", "Computer science", "Routing (electronic design automation)", "Operations research", "Quality (philosophy)", "Set (abstract data type)", "Integer programming", "Linear programming", "Mathematical optimization", "Mathematics", "Algorithm" ], "cited_by_openalex": 31, "cited_by_scopus": "35", "eid": "2-s2.0-85166332381", "pii": "S0957417423014471", "open_access_url": "https://research.tue.nl/files/305963747/1-s2.0-S0957417423014471-main.pdf", "sources": [ { "db": "openalex", "stream": "TRUCK", "query_id": "TRUCK-2" }, { "db": "scopus", "stream": "TRUCK", "query_id": "TRUCK-2" } ], "streams": [ "TRUCK" ], "relevance_signals": [ "NO_TECHNOLOGY_MATCH" ], "auto_exclude_reason": "EC-4-topic", "screening_status": "auto_excluded", "screened_by": "auto-v1.0.0" }, { "id": "doi:10.1016/j.cie.2023.109604", "doi": "10.1016/j.cie.2023.109604", "title": "Reconfiguration of last-mile supply chain for parcel delivery using machine learning and routing optimization", "year": 2023, "authors": [ "Angie Ramírez-Villamil", "Jairo R. Montoya‐Torres", "Anicia Jaegler", "Juan M. Cuevas-Torres" ], "first_author": "Angie Ramírez-Villamil", "venue": "Computers & Industrial Engineering", "volume": "184", "pages": null, "type": "article", "language": "en", "abstract": null, "keywords": [ "Vehicle routing problem", "Control reconfiguration", "Computer science", "Routing (electronic design automation)", "Operations research", "Heuristic", "Workload", "Transport engineering", "Engineering", "Computer network", "Artificial intelligence" ], "cited_by_openalex": 34, "cited_by_scopus": "35", "eid": "2-s2.0-85170643551", "pii": "S0360835223006289", "open_access_url": "http://intellectum.unisabana.edu.co/bitstreams/1e68f5cf-fd1c-4597-a566-408b4f7ebaec/download", "sources": [ { "db": "openalex", "stream": "TRUCK", "query_id": "TRUCK-2" }, { "db": "scopus", "stream": "TRUCK", "query_id": "TRUCK-2" } ], "streams": [ "TRUCK" ], "relevance_signals": [ "NO_TECHNOLOGY_MATCH" ], "auto_exclude_reason": "EC-4-topic", "screening_status": "auto_excluded", "screened_by": "auto-v1.0.0" }, { "id": "doi:10.1016/j.asoc.2023.110831", "doi": "10.1016/j.asoc.2023.110831", "title": "Adaptive large neighborhood search algorithm for the Unmanned aerial vehicle routing problem with recharging", "year": 2023, "authors": [ "Jianmai Shi", "Huiting Mao", "Zhongbao Zhou", "Long Zheng" ], "first_author": "Jianmai Shi", "venue": "Applied Soft Computing", "volume": "147", "pages": null, "type": "article", "language": "en", "abstract": null, "keywords": [ "Computer science", "Benchmark (surveying)", "Simulated annealing", "Variable neighborhood search", "Vehicle routing problem", "Ant colony optimization algorithms", "Routing (electronic design automation)", "Mathematical optimization", "Algorithm", "Set (abstract data type)", "Heuristic", "Local search (optimization)" ], "cited_by_openalex": 30, "cited_by_scopus": "35", "eid": "2-s2.0-85171866466", "pii": "S1568494623008499", "open_access_url": "https://doi.org/10.1016/j.asoc.2023.110831", "sources": [ { "db": "openalex", "stream": "UAV", "query_id": "UAV-2" }, { "db": "scopus", "stream": "UAV", "query_id": "UAV-2" } ], "streams": [ "UAV" ], "relevance_signals": [ "UAV_NO_CTX" ], "auto_exclude_reason": "EC-4-topic", "screening_status": "auto_excluded", "screened_by": "auto-v1.0.0" }, { "id": "doi:10.1016/j.trc.2023.104406", "doi": "10.1016/j.trc.2023.104406", "title": "Unmanned aerial vehicle service network design for urban monitoring", "year": 2023, "authors": [ "Bolong Zhou", "Wei Liu", "Hai Long Yang" ], "first_author": "Bolong Zhou", "venue": "Transportation Research Part C Emerging Technologies", "volume": "157", "pages": null, "type": "article", "language": "en", "abstract": null, "keywords": [ "Computer science", "Heuristic", "Flow network", "Service (business)", "Routing (electronic design automation)", "Mathematical optimization", "Plan (archaeology)", "Network planning and design", "Real-time computing", "Operations research", "Engineering", "Computer network" ], "cited_by_openalex": 35, "cited_by_scopus": "35", "eid": "2-s2.0-85175795701", "pii": "S0968090X23003960", "open_access_url": "http://hdl.handle.net/10397/108914", "sources": [ { "db": "openalex", "stream": "UAV", "query_id": "UAV-2" }, { "db": "scopus", "stream": "UAV", "query_id": "UAV-2" } ], "streams": [ "UAV" ], "relevance_signals": [ "UAV_NO_CTX" ], "auto_exclude_reason": "EC-4-topic", "screening_status": "auto_excluded", "screened_by": "auto-v1.0.0" }, { "id": "doi:10.1016/j.jsv.2023.117751", "doi": "10.1016/j.jsv.2023.117751", "title": "Experimental investigation of propeller noise in ground effect", "year": 2023, "authors": [ "Liam P. Hanson", "Hasan Kamliya Jawahar", "SH. S. Vemuri", "Mahdi Azarpeyvand" ], "first_author": "Liam P. Hanson", "venue": "Journal of Sound and Vibration", "volume": "559", "pages": null, "type": "article", "language": "en", "abstract": "The aerodynamic propeller performance and aeroacoustic characteristics of a single two-bladed propeller subjected to Ground Effect are investigated using experiments in an anechoic chamber. A strong increase in thrust, torque and power coefficients when a propeller operates in Ground Effect is demonstrated, consistent with previous studies. A low-fidelity Blade Element Momentum Theory model adapted for Ground Effect is implemented to cross-validate the aerodynamic results. The near-field and far-field spectra and their coherence are studied for various propeller distances from the ground plane and compared with the isolated case. The far-field noise measurements indicate that additional tonal peaks appear with the introduction of the ground plane when compared to isolated configuration. While in-Ground Effect, additional high-frequency broadband humps are observed at some polar angles not seen in isolated configuration. Two discrete regions, a shielded and reflection zone, with respective reduction and enhancement of the Overall Sound Pressure levels are observed. The primary reason for noise increase within the reflection zone is a result of pure acoustic reflection from the ground surface. The near-field measurements from an array of embedded high-response microphones in the ground plane indicate that the main source of the propeller noise is in the tip region. Near-field measurements reconfirm flow results from literature with near-field and far-field acoustic results. The present study may find important practical applications within Urban Air Mobility (UAM), especially in the design of vertiport landing pads and propellers for effective noise mitigation, aerodynamic performance, and prediction during the vertical take-off and landing phases of flight.", "keywords": [ "Acoustics", "Anechoic chamber", "Propeller", "Ground plane", "Noise (video)", "Near and far field", "Aerodynamics", "Thrust", "Physics", "Engineering", "Optics", "Aerospace engineering" ], "cited_by_openalex": 37, "cited_by_scopus": "35", "eid": "2-s2.0-85159372374", "pii": "S0022460X23002006", "open_access_url": "https://doi.org/10.1016/j.jsv.2023.117751", "sources": [ { "db": "openalex", "stream": "UAV", "query_id": "UAV-3" }, { "db": "scopus", "stream": "UAV", "query_id": "UAV-3" } ], "streams": [ "UAV" ], "relevance_signals": [ "UAV_NO_CTX" ], "auto_exclude_reason": "EC-4-topic", "screening_status": "auto_excluded", "screened_by": "auto-v1.0.0" }, { "id": "doi:10.1016/j.eswa.2023.122485", "doi": "10.1016/j.eswa.2023.122485", "title": "Data-driven robust optimization for a multi-trip truck-drone routing problem", "year": 2023, "authors": [ "Mohsen Roytvand Ghiasvand", "Donya Rahmani", "Mohammad Moshref‐Javadi" ], "first_author": "Mohsen Roytvand Ghiasvand", "venue": "Expert Systems with Applications", "volume": "241", "pages": null, "type": "article", "language": "en", "abstract": null, "keywords": [ "Computer science", "Vehicle routing problem", "Cluster analysis", "Drone", "Truck", "Robust optimization", "Column generation", "Mathematical optimization", "Routing (electronic design automation)", "Newsvendor model", "Machine learning", "Supply chain" ], "cited_by_openalex": 30, "cited_by_scopus": "34", "eid": "2-s2.0-85178424018", "pii": "S0957417423029871", "open_access_url": "https://doi.org/10.1016/j.eswa.2023.122485", "sources": [ { "db": "openalex", "stream": "TRUCK", "query_id": "TRUCK-3" }, { "db": "openalex", "stream": "UAV", "query_id": "UAV-2" }, { "db": "scopus", "stream": "TRUCK", "query_id": "TRUCK-3" }, { "db": "scopus", "stream": "UAV", "query_id": "UAV-2" } ], "streams": [ "TRUCK", "UAV" ], "relevance_signals": [ "UAV_NO_CTX", "TRUCK_NO_CTX" ], "auto_exclude_reason": "EC-4-topic", "screening_status": "auto_excluded", "screened_by": "auto-v1.0.0" }, { "id": "doi:10.1109/jiot.2023.3323704", "doi": "10.1109/jiot.2023.3323704", "title": "Multidrone Parcel Delivery via Public Vehicles: A Joint Optimization Approach", "year": 2023, "authors": [ "Tianping Deng", "Xiaohui Xu", "Zhiqing Zou", "Wei Liu", "Desheng Wang", "Menglan Hu" ], "first_author": "Tianping Deng", "venue": "IEEE Internet of Things Journal", "volume": "11", "pages": "9312-9323", "type": "article", "language": "en", "abstract": "As one of the promising self-powered sensors on Internet of Things (IoT) platforms, unmanned aerial vehicles (UAVs) have attracted much attention for parcel delivery. Their high flexibility and low cost facilitate last-one-mile delivery. However, the limitations of battery capacity and payloads prevent drones from delivering independently over large scales. In this case, it is available to employ vehicles to assist the drones. The vehicles can be private-own trucks and vehicles in public transportation systems (PTSs). Compared to trucks, PTSs, such as buses and trains, do not require extra operating and fuel costs. Given these advantages, this article adopts PTSs to assist UAVs in parcel delivery. Nevertheless, the fixed routes and schedules of public vehicles pose new challenges to the routing and scheduling problem for PTS-assisted multidrone parcel delivery (RSPMD). To tackle the problem, we propose a novel routing and scheduling algorithm, referred to as the PTS-assisted multidrone parcel delivery (PDD) algorithm. Considering the schedules of the public vehicles, the algorithm jointly optimizes the distance and time cost of drones by iteratively combining parts of existing routes. To the best of our knowledge, we are the first to address RSPMD in which UAVs ride public vehicles to deliver parcels in a wide area. Simulation results are finally presented to demonstrate that PDD outperforms existing solutions in terms of effectiveness and efficiency.", "keywords": [ "Computer science", "Joint (building)", "Computer network", "Engineering" ], "cited_by_openalex": 36, "cited_by_scopus": "34", "eid": "2-s2.0-85174860153", "pii": null, "open_access_url": "https://doi.org/10.1109/jiot.2023.3323704", "sources": [ { "db": "openalex", "stream": "UAV", "query_id": "UAV-1" }, { "db": "scopus", "stream": "UAV", "query_id": "UAV-1" }, { "db": "scopus", "stream": "UAV", "query_id": "UAV-2" } ], "streams": [ "UAV" ], "relevance_signals": [ "UAV", "TRUCK" ], "auto_exclude_reason": null, "screening_status": "pending_human_screening", "screened_by": "auto-v1.0.0" }, { "id": "doi:10.3390/systems11050259", "doi": "10.3390/systems11050259", "title": "A Hybrid Metaheuristic Solution Method to Traveling Salesman Problem with Drone", "year": 2023, "authors": [ "Noyan Sebla Günay", "Emre Çakmak", "Serol Bulkan" ], "first_author": "Noyan Sebla Günay", "venue": "Systems", "volume": "11", "pages": null, "type": "article", "language": "en", "abstract": "The challenging idea of using drones in last-mile delivery systems of logistics addresses a new routing problem referred to as the traveling salesman problem with drone (TSP-D). TSP-D aims to construct a route to deliver parcels to a set of customers by either a truck or a drone, thereby minimizing operational costs. Since TSP-D is considered NP-hard, using metaheuristics is one of the most promising solutions. This paper presents a hybrid metaheuristic solution method of TSP-D based on two state-of-the-art algorithms: the genetic algorithm and ant colony optimization algorithm. Heuristics in TSP-D literature are based on two consequent decisions: truck routing and drone assignment. Unlike those in the existing literature, the proposed metaheuristic constructs both truck and drone routes simultaneously. Additionally, to the best of our knowledge, we introduce for the first time a solution method on the basis of an ant colony optimization approach to TSP-D. Additionally, we propose a binary pheromone framework for both drone and truck, diverging from the traditional pheromone structure. Computational experiments indicate that the proposed hybrid metaheuristic algorithm is able to generate optimal routes for provided instances of TSP-D benchmarking. In addition, the algorithm improves the best-known solutions of some instances found by rival heuristics.", "keywords": [ "Metaheuristic", "Drone", "Travelling salesman problem", "Ant colony optimization algorithms", "Computer science", "Heuristics", "Mathematical optimization", "Vehicle routing problem", "Genetic algorithm", "Routing (electronic design automation)", "Ant colony", "Parallel metaheuristic" ], "cited_by_openalex": 31, "cited_by_scopus": "33", "eid": "2-s2.0-85160064625", "pii": null, "open_access_url": "https://www.mdpi.com/2079-8954/11/5/259/pdf?version=1684492686", "sources": [ { "db": "openalex", "stream": "TRUCK", "query_id": "TRUCK-1" }, { "db": "openalex", "stream": "UAV", "query_id": "UAV-1" }, { "db": "openalex", "stream": "UAV", "query_id": "UAV-2" }, { "db": "scopus", "stream": "TRUCK", "query_id": "TRUCK-1" }, { "db": "scopus", "stream": "UAV", "query_id": "UAV-1" }, { "db": "scopus", "stream": "UAV", "query_id": "UAV-2" } ], "streams": [ "TRUCK", "UAV" ], "relevance_signals": [ "UAV", "TRUCK" ], "auto_exclude_reason": null, "screening_status": "pending_human_screening", "screened_by": "auto-v1.0.0" }, { "id": "doi:10.1016/j.rtbm.2023.101029", "doi": "10.1016/j.rtbm.2023.101029", "title": "Technical and legal critical success factors: Feasibility of drones & AGV in the last-mile-delivery", "year": 2023, "authors": [ "Christian Fehling", "Adriana Saraceni" ], "first_author": "Christian Fehling", "venue": "Research in Transportation Business & Management", "volume": "50", "pages": null, "type": "article", "language": "en", "abstract": "This paper aims to provide a current status of the legal situation necessary due to the regular changes of the law of the EU and Germany, by identify technical and legal critical success factors of the feasibility of drones and AGVs in last-mile-delivery. Furthermore, the paper provides importance rankings for legal and technical critical success factors from the point of view of logistics and supply chain experts. A conceptual model was developed capturing main legal and technical critical success factors from literature finding and then providing basis to a survey-based study that have been captured online. Results from the survey were evaluated and compared against each other using the Analytical Hierarchy Process. The results are based on business-to-business relationships between logistics service and mobility providers, as well as technical developers. The results of this research can help managers of large providers, transport companies in general and governments as well as political decision-makers in the innovation field to understand the legal situation of the EU and Germany as well as the technical problems that have to be overcome to profit from future technology in the last-mile-delivery.", "keywords": [ "Drone", "Critical success factor", "Business", "Last mile (transportation)", "Profit (economics)", "Service provider", "Mile", "Process management", "Marketing", "Service (business)" ], "cited_by_openalex": 20, "cited_by_scopus": "33", "eid": "2-s2.0-85167826137", "pii": "S2210539523000871", "open_access_url": "https://doi.org/10.1016/j.rtbm.2023.101029", "sources": [ { "db": "openalex", "stream": "UAV", "query_id": "UAV-1" }, { "db": "scopus", "stream": "UAV", "query_id": "UAV-1" } ], "streams": [ "UAV" ], "relevance_signals": [ "UAV" ], "auto_exclude_reason": null, "screening_status": "pending_human_screening", "screened_by": "auto-v1.0.0" }, { "id": "doi:10.1109/tits.2023.3266460", "doi": "10.1109/tits.2023.3266460", "title": "A-VRPD: Automating Drone-Based Last-Mile Delivery Using Self-Driving Cars", "year": 2023, "authors": [ "Navid Mohammad Imran", "Sabyasachee Mishra", "Myounggyu Won" ], "first_author": "Navid Mohammad Imran", "venue": "IEEE Transactions on Intelligent Transportation Systems", "volume": "24", "pages": "9599-9612", "type": "article", "language": "en", "abstract": "Drone-based last-mile delivery is an emerging technology that uses drones loaded onto a truck to deliver parcels to customers. In this paper, we introduce a fully automated system for drone-based last-mile delivery through incorporation of autonomous vehicles (AVs). A novel problem called the autonomous vehicle routing problem with drones (A-VRPD) is defined. A-VRPD is to select AVs from a pool of available AVs based on crowd sourcing, assign selected AVs to customer groups, and schedule routes for selected AVs to optimize the total operational cost. We formulate A-VRPD as a Mixed Integer Linear Program (MILP) and propose an optimization framework to solve the problem. A greedy algorithm is also developed to significantly improve the running time for large-scale delivery scenarios. Extensive simulations were conducted taking into account real-world operational costs for different types of AVs, traveled distances calculated considering the real-time traffic conditions using Google Map API, and varying load capacities of AVs. We evaluated the performance in comparison with two different state-of-the-art solutions: an algorithm designed to address the traditional vehicle routing problem with drones (VRP-D), which involves human-operated trucks working in tandem with drones to deliver parcels, and an algorithm for the two echelon vehicle routing problem (2E-VRP), wherein parcels are first transported to satellite locations and subsequently delivered from those satellites to the customers. The results indicate a substantial increase in profits for both the delivery company and vehicle owners compared with the state-of-the-art algorithms.", "keywords": [ "Drone", "Vehicle routing problem", "Truck", "Last mile (transportation)", "Computer science", "Schedule", "Real-time computing", "Routing (electronic design automation)", "Integer programming", "Linear programming", "Mile", "Transport engineering" ], "cited_by_openalex": 26, "cited_by_scopus": "32", "eid": "2-s2.0-85153480392", "pii": null, "open_access_url": "https://doi.org/10.1109/tits.2023.3266460", "sources": [ { "db": "openalex", "stream": "TRUCK", "query_id": "TRUCK-1" }, { "db": "openalex", "stream": "UAV", "query_id": "UAV-1" }, { "db": "openalex", "stream": "UAV", "query_id": "UAV-2" }, { "db": "scopus", "stream": "TRUCK", "query_id": "TRUCK-1" }, { "db": "scopus", "stream": "UAV", "query_id": "UAV-1" }, { "db": "scopus", "stream": "UAV", "query_id": "UAV-2" } ], "streams": [ "TRUCK", "UAV" ], "relevance_signals": [ "UAV", "TRUCK" ], "auto_exclude_reason": null, "screening_status": "pending_human_screening", "screened_by": "auto-v1.0.0" }, { "id": "doi:10.1016/j.scs.2023.104857", "doi": "10.1016/j.scs.2023.104857", "title": "A simultaneous facility location and vehicle routing problem with recyclable express packaging consideration for sustainable city logistics", "year": 2023, "authors": [ "Yuhe Shi", "Yun Jung Lin", "Songyi Wang", "Haolin Wen", "Ming Kim Lim", "Yan Li" ], "first_author": "Yuhe Shi", "venue": "Sustainable Cities and Society", "volume": "98", "pages": null, "type": "article", "language": "en", "abstract": null, "keywords": [ "Vehicle routing problem", "Supply chain", "Routing (electronic design automation)", "Exploit", "Integer programming", "Reverse logistics", "Transport engineering", "Sustainable development", "Linear programming", "Resource (disambiguation)", "Computer science", "Environmental economics" ], "cited_by_openalex": 28, "cited_by_scopus": "32", "eid": "2-s2.0-85167782420", "pii": "S2210670723004687", "open_access_url": "https://eprints.gla.ac.uk/304354/2/304354.pdf", "sources": [ { "db": "openalex", "stream": "TRUCK", "query_id": "TRUCK-2" }, { "db": "scopus", "stream": "TRUCK", "query_id": "TRUCK-2" } ], "streams": [ "TRUCK" ], "relevance_signals": [ "NO_TECHNOLOGY_MATCH" ], "auto_exclude_reason": "EC-4-topic", "screening_status": "auto_excluded", "screened_by": "auto-v1.0.0" }, { "id": "doi:10.1016/j.cie.2023.109622", "doi": "10.1016/j.cie.2023.109622", "title": "Research on the contribution of metro-based freight to reducing urban transportation exhaust emissions", "year": 2023, "authors": [ "Di Z." ], "first_author": "Di Z.", "venue": "Computers and Industrial Engineering", "volume": "185", "pages": null, "type": "Article", "language": null, "abstract": null, "keywords": [], "cited_by_openalex": 0, "cited_by_scopus": "32", "eid": "2-s2.0-85173050513", "pii": "S0360835223006460", "open_access_url": null, "sources": [ { "db": "scopus", "stream": "TRUCK", "query_id": "TRUCK-1" } ], "streams": [ "TRUCK" ], "relevance_signals": [ "NO_TECHNOLOGY_MATCH" ], "auto_exclude_reason": "EC-4-topic", "screening_status": "auto_excluded", "screened_by": "auto-v1.0.0" }, { "id": "doi:10.13195/j.kzyjc.2021.2268", "doi": "10.13195/j.kzyjc.2021.2268", "title": "The cooperative delivery of multiple vehicles and multiple drones based on adaptive large neighborhood search", "year": 2023, "authors": [ "Wu G.H." ], "first_author": "Wu G.H.", "venue": "Kongzhi Yu Juece Control and Decision", "volume": "38", "pages": "201-210", "type": "Article", "language": null, "abstract": null, "keywords": [], "cited_by_openalex": 0, "cited_by_scopus": "32", "eid": "2-s2.0-85146143728", "pii": null, "open_access_url": null, "sources": [ { "db": "scopus", "stream": "UAV", "query_id": "UAV-1" } ], "streams": [ "UAV" ], "relevance_signals": [ "UAV_NO_CTX" ], "auto_exclude_reason": "EC-4-topic", "screening_status": "auto_excluded", "screened_by": "auto-v1.0.0" }, { "id": "doi:10.1080/13675567.2022.2107189", "doi": "10.1080/13675567.2022.2107189", "title": "Drone delivery logistics model for on-demand hyperlocal market", "year": 2023, "authors": [ "Pachayappan M." ], "first_author": "Pachayappan M.", "venue": "International Journal of Logistics Research and Applications", "volume": "26", "pages": "1728-1760", "type": "Article", "language": null, "abstract": null, "keywords": [], "cited_by_openalex": 0, "cited_by_scopus": "32", "eid": "2-s2.0-85135488332", "pii": null, "open_access_url": null, "sources": [ { "db": "scopus", "stream": "UAV", "query_id": "UAV-2" } ], "streams": [ "UAV" ], "relevance_signals": [ "UAV_NO_CTX" ], "auto_exclude_reason": "EC-4-topic", "screening_status": "auto_excluded", "screened_by": "auto-v1.0.0" }, { "id": "doi:10.3390/vehicles5040097", "doi": "10.3390/vehicles5040097", "title": "Integrating Urban Air Mobility into a Public Transit System: A GIS-Based Approach to Identify Candidate Locations for Vertiports", "year": 2023, "authors": [ "Baishali Rahman", "Raj Bridgelall", "Muhammad Faisal Habib", "Diomo Motuba" ], "first_author": "Baishali Rahman", "venue": "Vehicles", "volume": "5", "pages": "1803-1817", "type": "article", "language": "en", "abstract": "Stakeholders expect emerging urban air mobility (UAM) services that use electric vertical takeoff and landing (eVTOL) aircraft to revolutionize transportation systems. However, to be effective, eVTOL facilities, known as vertiports, must seamlessly integrate with the existing multimodal transportation infrastructure. This research analyzes how to best integrate vertiports with the existing public transit network of a city, with San Francisco in the United States as a case study. This study developed a composite optimization model to identify the locations for an optimum number of vertiports within each of the eleven (11) supervisorial districts of San Francisco that would minimize the network distance to its bus stops. The results revealed that 38 locations for vertiports covered 3245 bus stops with an average walk time close to 10 min. Walking 10 min from each vertiport would cover 41.6% of the total road network length and 49.8% of all bus stop locations. Power-law regressions of the average distances as a function of the number of vertiports will help planners to make informed decisions about the optimal vertiport placements in each district by identifying diminishing returns in travel-time savings, and adjustments that consider income and population as additional demand factors.", "keywords": [ "Transport engineering", "Public transport", "Takeoff", "Transit (satellite)", "Population", "Cover (algebra)", "Computer science", "Geography", "Engineering" ], "cited_by_openalex": 27, "cited_by_scopus": "31", "eid": "2-s2.0-85180247741", "pii": null, "open_access_url": "https://www.mdpi.com/2624-8921/5/4/97/pdf?version=1702030042", "sources": [ { "db": "openalex", "stream": "UAV", "query_id": "UAV-3" }, { "db": "scopus", "stream": "UAV", "query_id": "UAV-3" } ], "streams": [ "UAV" ], "relevance_signals": [ "UAV_NO_CTX" ], "auto_exclude_reason": "EC-4-topic", "screening_status": "auto_excluded", "screened_by": "auto-v1.0.0" }, { "id": "doi:10.3934/jimo.2021179", "doi": "10.3934/jimo.2021179", "title": "MULTI-OBJECTIVE OPTIMIZATION MODEL FOR PLANNING METRO-BASED UNDERGROUND LOGISTICS SYSTEM NETWORK: NANJING CASE STUDY", "year": 2023, "authors": [ "Sun X." ], "first_author": "Sun X.", "venue": "Journal of Industrial and Management Optimization", "volume": "19", "pages": "170-196", "type": "Article", "language": null, "abstract": null, "keywords": [], "cited_by_openalex": 0, "cited_by_scopus": "31", "eid": "2-s2.0-85138146806", "pii": null, "open_access_url": null, "sources": [ { "db": "scopus", "stream": "TRUCK", "query_id": "TRUCK-2" } ], "streams": [ "TRUCK" ], "relevance_signals": [ "NO_TECHNOLOGY_MATCH" ], "auto_exclude_reason": "EC-4-topic", "screening_status": "auto_excluded", "screened_by": "auto-v1.0.0" }, { "id": "doi:10.1016/j.iot.2023.100692", "doi": "10.1016/j.iot.2023.100692", "title": "Crowdsourced last mile delivery: Collaborative workforce assignment", "year": 2023, "authors": [ "Nada Elsokkary", "Hadi Otrok", "Shakti Singh", "Rabeb Mizouni", "Hassan Barada", "Mohammed Omar" ], "first_author": "Nada Elsokkary", "venue": "Internet of Things", "volume": "22", "pages": null, "type": "article", "language": "en", "abstract": null, "keywords": [ "Computer science", "Task (project management)", "Last mile (transportation)", "Tabu search", "Handover", "Set (abstract data type)", "Operations research", "Quality (philosophy)", "Mile", "Computer network", "Engineering", "Artificial intelligence" ], "cited_by_openalex": 31, "cited_by_scopus": "30", "eid": "2-s2.0-85146611355", "pii": "S254266052300015X", "open_access_url": "https://doi.org/10.1016/j.iot.2023.100692", "sources": [ { "db": "openalex", "stream": "TRUCK", "query_id": "TRUCK-1" }, { "db": "scopus", "stream": "TRUCK", "query_id": "TRUCK-1" } ], "streams": [ "TRUCK" ], "relevance_signals": [ "NO_TECHNOLOGY_MATCH" ], "auto_exclude_reason": "EC-4-topic", "screening_status": "auto_excluded", "screened_by": "auto-v1.0.0" }, { "id": "doi:10.3390/su15032621", "doi": "10.3390/su15032621", "title": "Public Acceptance of the Use of Drones in City Logistics: A Citizen-Centric Perspective", "year": 2023, "authors": [ "Sandra Melo", "Flávia Silva", "Mohammad Abbasi", "Parisa Ahani", "Joaquim Macedo" ], "first_author": "Sandra Melo", "venue": "Sustainability", "volume": "15", "pages": null, "type": "article", "language": "en", "abstract": "The specific use of drones for city logistics has been increasingly studied and analysed by research and industry. An examination of the findings in the literature indicates that drones have proven to be a useful and added-value tool in the most diverse fields. However, the importance of the citizen’s perspective has still not been sufficiently incorporated into the deployment of urban air mobility systems. This paper seeks to contribute to a better understanding of the interaction between public knowledge and the awareness of, and engagement with, drones, alongside the concerns and support for their use in city logistics. A survey was carried out in Portugal of the citizens with a view to better understanding their attitude towards such a goal. The survey revealed a positive attitude towards the use of drones in city logistics and that socio-demographic characteristics, namely gender, education level, job occupation, age, and home location are not directly correlated with citizens’ attitudes. Moreover, citizens revealed that they favour a potential environmental benefit over a reduction in delivery time, which they would be willing to pay for. The policy implications derived can help develop the knowledge of public perception about drone usage for transport-related tasks.", "keywords": [ "Drone", "Perspective (graphical)", "Software deployment", "Business", "Marketing", "Value (mathematics)", "Perception", "Public relations", "Political science", "Psychology", "Engineering" ], "cited_by_openalex": 30, "cited_by_scopus": "30", "eid": "2-s2.0-85148011077", "pii": null, "open_access_url": "https://www.mdpi.com/2071-1050/15/3/2621/pdf?version=1675993094", "sources": [ { "db": "openalex", "stream": "UAV", "query_id": "UAV-1" }, { "db": "scopus", "stream": "UAV", "query_id": "UAV-1" } ], "streams": [ "UAV" ], "relevance_signals": [ "UAV" ], "auto_exclude_reason": null, "screening_status": "pending_human_screening", "screened_by": "auto-v1.0.0" }, { "id": "doi:10.1016/j.trc.2023.104147", "doi": "10.1016/j.trc.2023.104147", "title": "Routing battery-constrained delivery drones in a depot network: A business model and its optimization–simulation assessment", "year": 2023, "authors": [ "Yanchao Liu" ], "first_author": "Yanchao Liu", "venue": "Transportation Research Part C Emerging Technologies", "volume": "152", "pages": null, "type": "article", "language": "en", "abstract": null, "keywords": [ "Drone", "Computer science", "Scalability", "Mathematical optimization", "Vehicle routing problem", "Column generation", "Time horizon", "Payload (computing)", "Routing (electronic design automation)", "Operations research", "Engineering", "Computer network" ], "cited_by_openalex": 29, "cited_by_scopus": "30", "eid": "2-s2.0-85156223025", "pii": "S0968090X23001365", "open_access_url": "https://doi.org/10.1016/j.trc.2023.104147", "sources": [ { "db": "openalex", "stream": "UAV", "query_id": "UAV-2" }, { "db": "scopus", "stream": "UAV", "query_id": "UAV-2" } ], "streams": [ "UAV" ], "relevance_signals": [ "UAV_NO_CTX" ], "auto_exclude_reason": "EC-4-topic", "screening_status": "auto_excluded", "screened_by": "auto-v1.0.0" }, { "id": "doi:10.1016/j.eswa.2023.122809", "doi": "10.1016/j.eswa.2023.122809", "title": "A bi-criteria approach to the truck-multidrone routing problem", "year": 2023, "authors": [ "Pedro Luis González Rodríguez", "David Sánchez-Wells", "José Luis Andrade-Pineda" ], "first_author": "Pedro Luis González Rodríguez", "venue": "Expert Systems with Applications", "volume": "243", "pages": null, "type": "article", "language": "en", "abstract": "In the rapidly expanding field of e-commerce logistics, the optimisation of last-mile delivery solutions is paramount. This paper introduces a novel methodology that addresses this challenge by generating approximate Pareto fronts in a hybrid truck-drone delivery system. Specifically, we examine a generalized single truck multi-drone problem that allows multi-visit flight missions and rendezvous points distinct from launch locations. Our goal is providing decision-makers with a portfolio of optimal routing solutions that balance service time and environmental impact, criteria that are increasingly shaping decision-making in this domain. To achieve this, we introduce a bivector coding scheme inspired by flow-shop scheduling problems and implement a Simulated Annealing algorithm. This algorithm features an advanced stopping mechanism, negating the need for manual adjustments by utilizing a distinctive blend of a domination rate and a Kalman filter. Importantly, our framework employs an iterated greedy search algorithm to evolve from initial solutions towards identifying non-dominated solutions sets, which are then ranked using a hypervolume coefficient. To validate our methodology, we conduct a sensitivity analysis on two different size instances using a full factorial design of experiments. Our analysis reveals crucial insights into the impact of the number of drones, their autonomy, and their flight speed settings. From it, we conclude that it is a robust and adaptable framework for its practical application for obtaining Pareto fronts solutions among which picking the ultimate routing to be implemented.", "keywords": [ "Computer science", "Drone", "Mathematical optimization", "Pareto principle", "Iterated local search", "Truck", "Operations research", "Vehicle routing problem", "Routing (electronic design automation)", "Metaheuristic", "Algorithm", "Mathematics" ], "cited_by_openalex": 28, "cited_by_scopus": "29", "eid": "2-s2.0-85179848054", "pii": "S0957417423033110", "open_access_url": "https://doi.org/10.1016/j.eswa.2023.122809", "sources": [ { "db": "openalex", "stream": "TRUCK", "query_id": "TRUCK-1" }, { "db": "openalex", "stream": "UAV", "query_id": "UAV-1" }, { "db": "openalex", "stream": "UAV", "query_id": "UAV-2" }, { "db": "scopus", "stream": "TRUCK", "query_id": "TRUCK-1" }, { "db": "scopus", "stream": "UAV", "query_id": "UAV-1" }, { "db": "scopus", "stream": "UAV", "query_id": "UAV-2" } ], "streams": [ "TRUCK", "UAV" ], "relevance_signals": [ "UAV", "TRUCK" ], "auto_exclude_reason": null, "screening_status": "pending_human_screening", "screened_by": "auto-v1.0.0" }, { "id": "doi:10.1016/j.ejor.2023.02.041", "doi": "10.1016/j.ejor.2023.02.041", "title": "The multi-trip container drayage problem with synchronization for efficient empty containers re-usage", "year": 2023, "authors": [ "Stefano Fazi", "Sourabh Kumar Choudhary", "Jingxin Dong" ], "first_author": "Stefano Fazi", "venue": "European Journal of Operational Research", "volume": "310", "pages": "343-359", "type": "article", "language": "en", "abstract": "We study a typical daily drayage problem concerning the last-mile logistics at seaports for inland container supply chains. A set of trucks available at an inland container terminal must fulfil shippers’ requests of transporting containers within time windows and, to do so, can perform multiple daily trips. A request may entail picking up or delivering containers either at the shippers’ premises, the inland terminal or the seaport. Demand for empty containers can be satisfied by either using the available limited stock at the inland terminal, by street-turning or, ultimately, by retrieving them at a local depot for empties resulting in extra mileage. Hence, the minimization of routing costs also entails synchronizing trucks’ trips that retrieve and add empty containers to the inland terminal stock to avoid unnecessary visits to the empty depot. After modelling the problem mathematically, we develop an exact column-and-row generation approach embedded in a branch-and-price framework. To accelerate the solving process of the pricing problem, we propose effective strategies by combining a set of tailored pricing algorithms. These strategies perform well on a set of adapted Solomon’s instances up to 100 nodes and against a standard branch-and-cut solver. Finally, experiments on real-world instances, inspired by a case study of an inland terminal at the Port of Rotterdam region, provide insights into current planning practices.", "keywords": [ "Truck", "Computer science", "Operations research", "Container (type theory)", "TRIPS architecture", "Terminal (telecommunication)", "Purchasing", "Vehicle routing problem", "Transport engineering", "Solver", "Port (circuit theory)", "Supply chain" ], "cited_by_openalex": 27, "cited_by_scopus": "29", "eid": "2-s2.0-85150229570", "pii": "S0377221723001947", "open_access_url": "https://doi.org/10.1016/j.ejor.2023.02.041", "sources": [ { "db": "openalex", "stream": "TRUCK", "query_id": "TRUCK-3" }, { "db": "scopus", "stream": "TRUCK", "query_id": "TRUCK-3" } ], "streams": [ "TRUCK" ], "relevance_signals": [ "TRUCK" ], "auto_exclude_reason": null, "screening_status": "pending_human_screening", "screened_by": "auto-v1.0.0" }, { "id": "doi:10.1080/0960085x.2023.2214744", "doi": "10.1080/0960085x.2023.2214744", "title": "Security and privacy risks in drone-based last mile delivery", "year": 2023, "authors": [ "Yu-Ju Tu", "Selwyn Piramuthu" ], "first_author": "Yu-Ju Tu", "venue": "European Journal of Information Systems", "volume": "33", "pages": "617-630", "type": "article", "language": "en", "abstract": "The consideration of drones for last mile delivery brings with it several challenges that include both physical ones such as battery life, drone range, carrying capacity, and form factor of the drone as well as those related to security and privacy of the parties associated with any given packet as well as its content. Privacy and security aspects are significant since last mile delivery drones operate outside the warehouse and are not under complete control of the delivery service operator. This is especially salient with respect to communications between the drone and outside entities that are not necessarily authorised for such communication by the operator. Even if such outside entities are authorised to communicate with the drone, while it is in the open, there may be restrictions on the types of information it can reveal to any given external entity. In addition to an overview of the main security and privacy issues in drone-based last mile delivery, we discuss general security and privacy issues and how these translate to drone-based last mile delivery. We consider various facets of issues related to privacy and security of drone-based last mile delivery. Specifically, we study risks associated with privacy and security in this environment with specific emphasis on those related to codes, external entities, and communication signals. We then identify some of the gaps in associated extant academic literature that could potentially be addressed in future studies.", "keywords": [ "Drone", "Computer security", "Last mile (transportation)", "Computer science", "Internet privacy", "Mile", "Business", "Geography" ], "cited_by_openalex": 33, "cited_by_scopus": "29", "eid": "2-s2.0-85159626064", "pii": null, "open_access_url": "https://doi.org/10.1080/0960085x.2023.2214744", "sources": [ { "db": "openalex", "stream": "UAV", "query_id": "UAV-1" }, { "db": "scopus", "stream": "UAV", "query_id": "UAV-1" } ], "streams": [ "UAV" ], "relevance_signals": [ "UAV" ], "auto_exclude_reason": null, "screening_status": "pending_human_screening", "screened_by": "auto-v1.0.0" }, { "id": "doi:10.1016/j.eswa.2023.122149", "doi": "10.1016/j.eswa.2023.122149", "title": "Parcel consolidation approach and routing algorithm for last-mile delivery by unmanned aerial vehicles", "year": 2023, "authors": [ "Xiaohui Li", "Pengyu Yan", "Kaize Yu", "Peifan Li", "Yuchen Liu" ], "first_author": "Xiaohui Li", "venue": "Expert Systems with Applications", "volume": "238", "pages": null, "type": "article", "language": "en", "abstract": null, "keywords": [ "Computer science", "Last mile (transportation)", "Consolidation (business)", "Vehicle routing problem", "Real-time computing", "Operations research", "Mathematical optimization", "Routing (electronic design automation)", "Mile", "Computer network", "Engineering" ], "cited_by_openalex": 29, "cited_by_scopus": "29", "eid": "2-s2.0-85174952920", "pii": "S0957417423026519", "open_access_url": "https://doi.org/10.1016/j.eswa.2023.122149", "sources": [ { "db": "openalex", "stream": "UAV", "query_id": "UAV-1" }, { "db": "scopus", "stream": "UAV", "query_id": "UAV-1" } ], "streams": [ "UAV" ], "relevance_signals": [ "UAV" ], "auto_exclude_reason": null, "screening_status": "pending_human_screening", "screened_by": "auto-v1.0.0" }, { "id": "doi:10.1016/j.cie.2023.109340", "doi": "10.1016/j.cie.2023.109340", "title": "A GRASP/VND algorithm for the energy minimizing drone routing problem with pickups and deliveries", "year": 2023, "authors": [ "Nikolaos A. Kyriakakis", "Stylianos Aronis", "Magdalene Marinaki", "Yannis Marinakis" ], "first_author": "Nikolaos A. Kyriakakis", "venue": "Computers & Industrial Engineering", "volume": "182", "pages": null, "type": "article", "language": "en", "abstract": null, "keywords": [ "Drone", "Computer science", "Benchmark (surveying)", "Vehicle routing problem", "GRASP", "Energy consumption", "Supply chain", "Mathematical optimization", "Operations research", "Routing (electronic design automation)", "Business", "Engineering" ], "cited_by_openalex": 30, "cited_by_scopus": "29", "eid": "2-s2.0-85161630057", "pii": "S0360835223003649", "open_access_url": "https://doi.org/10.1016/j.cie.2023.109340", "sources": [ { "db": "openalex", "stream": "UAV", "query_id": "UAV-2" }, { "db": "scopus", "stream": "UAV", "query_id": "UAV-2" } ], "streams": [ "UAV" ], "relevance_signals": [ "UAV_NO_CTX" ], "auto_exclude_reason": "EC-4-topic", "screening_status": "auto_excluded", "screened_by": "auto-v1.0.0" }, { "id": "doi:10.1016/j.cor.2023.106322", "doi": "10.1016/j.cor.2023.106322", "title": "A multiple-drone arc routing and mothership coordination problem", "year": 2023, "authors": [ "Amorosi L." ], "first_author": "Amorosi L.", "venue": "Computers and Operations Research", "volume": "159", "pages": null, "type": "Article", "language": null, "abstract": null, "keywords": [], "cited_by_openalex": 0, "cited_by_scopus": "29", "eid": "2-s2.0-85165415009", "pii": "S0305054823001867", "open_access_url": null, "sources": [ { "db": "scopus", "stream": "UAV", "query_id": "UAV-2" } ], "streams": [ "UAV" ], "relevance_signals": [ "UAV_NO_CTX" ], "auto_exclude_reason": "EC-4-topic", "screening_status": "auto_excluded", "screened_by": "auto-v1.0.0" }, { "id": "doi:10.1007/s10479-022-04905-y", "doi": "10.1007/s10479-022-04905-y", "title": "Integrating bloodmobiles and drones in a post-disaster blood collection problem considering blood groups", "year": 2023, "authors": [ "Rezaei Kallaj M." ], "first_author": "Rezaei Kallaj M.", "venue": "Annals of Operations Research", "volume": "321", "pages": "783-811", "type": "Article", "language": null, "abstract": null, "keywords": [], "cited_by_openalex": 0, "cited_by_scopus": "29", "eid": "2-s2.0-85138000027", "pii": null, "open_access_url": null, "sources": [ { "db": "scopus", "stream": "UAV", "query_id": "UAV-2" } ], "streams": [ "UAV" ], "relevance_signals": [ "UAV_NO_CTX" ], "auto_exclude_reason": "EC-4-topic", "screening_status": "auto_excluded", "screened_by": "auto-v1.0.0" }, { "id": "doi:10.1016/j.trc.2023.104316", "doi": "10.1016/j.trc.2023.104316", "title": "Centralized supply chain network optimization with UAV-based last mile deliveries", "year": 2023, "authors": [ "Gabriella Colajanni", "Patrizia Daniele", "Anna Nagurney" ], "first_author": "Gabriella Colajanni", "venue": "Transportation Research Part C Emerging Technologies", "volume": "155", "pages": null, "type": "article", "language": "en", "abstract": "This paper proposes a centralized supply chain network optimization model that maximizes the total profit obtained by a company that produces and/or outsources production, stores, ships and sells products to customers using a fleet made up of trucks and, in the last mile, also of drones. The model includes realistic features of unmanned aerial vehicles (UAVs) in the form of drones with fundamental limitations such as low battery capacities and short delivery ranges. The constrained nonlinear optimization problem is formulated as a variational inequality. Existence and uniqueness results for the solution of the variational inequality are provided along with the results of detailed numerical simulations that emphasize the advantages of the use of a hybrid fleet from enhanced profits to reduction in air pollution. Our quantitative results reveal great promise and insights for the logistics industry in the use of emerging UAV technologies for last mile parcel deliveries as a practical solution within a holistic supply chain network context.", "keywords": [ "Last mile (transportation)", "Drone", "Truck", "Supply chain", "Profit (economics)", "Context (archaeology)", "Supply chain network", "Variational inequality", "Computer science", "Operations research", "Nonlinear programming", "Mile" ], "cited_by_openalex": 27, "cited_by_scopus": "28", "eid": "2-s2.0-85170272803", "pii": "S0968090X23003054", "open_access_url": "https://doi.org/10.1016/j.trc.2023.104316", "sources": [ { "db": "openalex", "stream": "TRUCK", "query_id": "TRUCK-1" }, { "db": "openalex", "stream": "UAV", "query_id": "UAV-1" }, { "db": "scopus", "stream": "TRUCK", "query_id": "TRUCK-1" }, { "db": "scopus", "stream": "UAV", "query_id": "UAV-1" } ], "streams": [ "TRUCK", "UAV" ], "relevance_signals": [ "UAV", "TRUCK" ], "auto_exclude_reason": null, "screening_status": "pending_human_screening", "screened_by": "auto-v1.0.0" }, { "id": "doi:10.1287/trsc.2022.0042", "doi": "10.1287/trsc.2022.0042", "title": "Dynamic Courier Capacity Acquisition in Rapid Delivery Systems: A Deep Q-Learning Approach", "year": 2023, "authors": [ "Ramón Auad", "Alan L. Erera", "Martin W. P. Savelsbergh" ], "first_author": "Ramón Auad", "venue": "Transportation Science", "volume": null, "pages": null, "type": "article", "language": "en", "abstract": "With the recent boom of the gig economy, urban delivery systems have experienced substantial demand growth. In such systems, orders are delivered to customers from local distribution points respecting a delivery time promise. An important example is a restaurant meal delivery system, where delivery times are expected to be minutes after an order is placed. The system serves orders by making use of couriers that continuously perform pickups and deliveries. Operating such a rapid delivery system is very challenging, primarily because of the high service expectations and the considerable uncertainty in both demand and delivery capacity. Delivery providers typically plan courier shifts for an operating period based on a demand forecast. However, because of the high demand volatility, it may at times during the operating period be necessary to adjust and dynamically add couriers. We study the problem of dynamically adding courier capacity in a rapid delivery system and propose a deep reinforcement-learning approach to obtain a policy that balances the cost of adding couriers and the cost-of-service quality degradation because of insufficient delivery capacity. Specifically, we seek to ensure that a high fraction of orders is delivered on time with a small number of courier hours. A computational study in the meal delivery space shows that a learned policy outperforms policies representing current practice and demonstrates the potential of deep learning for solving operational problems in highly stochastic logistic settings. History: This paper has been accepted for the Transportation Science Special Issue on Machine-Learning Methods and Applications in Large-Scale Route Planning Problems. Funding: This work was supported by Agencia Nacional de Investigación y Desarrollo [72180404]. Supplemental Material: The e-companion is available at https://doi.org/10.1287/trsc.2022.0042 .", "keywords": [ "Computer science", "Reinforcement learning", "Operations research", "Service delivery framework", "Economies of scale", "Service (business)", "Operations management", "Business", "Engineering", "Marketing", "Artificial intelligence" ], "cited_by_openalex": 28, "cited_by_scopus": 0, "eid": null, "pii": null, "open_access_url": "https://doi.org/10.1287/trsc.2022.0042", "sources": [ { "db": "openalex", "stream": "TRUCK", "query_id": "TRUCK-2" } ], "streams": [ "TRUCK" ], "relevance_signals": [ "NO_TECHNOLOGY_MATCH" ], "auto_exclude_reason": "EC-4-topic", "screening_status": "auto_excluded", "screened_by": "auto-v1.0.0" }, { "id": "doi:10.1016/j.engappai.2023.107113", "doi": "10.1016/j.engappai.2023.107113", "title": "A double-adaptive general variable neighborhood search for an unmanned electric vehicle routing and scheduling problem in green manufacturing systems", "year": 2023, "authors": [ "Wenheng Liu", "Mahjoub Dridi", "Jintong Ren", "Amir Hajjam El Hassani", "Shuying Li" ], "first_author": "Wenheng Liu", "venue": "Engineering Applications of Artificial Intelligence", "volume": "126", "pages": null, "type": "article", "language": "en", "abstract": null, "keywords": [ "Computer science", "Variable neighborhood search", "Vehicle routing problem", "Scheduling (production processes)", "Mathematical optimization", "Job shop scheduling", "Routing (electronic design automation)", "Operations research", "Metaheuristic", "Computer network", "Algorithm" ], "cited_by_openalex": 25, "cited_by_scopus": "28", "eid": "2-s2.0-85171382087", "pii": "S0952197623012976", "open_access_url": "https://doi.org/10.1016/j.engappai.2023.107113", "sources": [ { "db": "openalex", "stream": "UAV", "query_id": "UAV-2" }, { "db": "scopus", "stream": "UAV", "query_id": "UAV-2" } ], "streams": [ "UAV" ], "relevance_signals": [ "NO_TECHNOLOGY_MATCH" ], "auto_exclude_reason": "EC-4-topic", "screening_status": "auto_excluded", "screened_by": "auto-v1.0.0" }, { "id": "doi:10.1016/j.jclepro.2023.138764", "doi": "10.1016/j.jclepro.2023.138764", "title": "Drones in Venice: Exploring business model applications for disruptive mobility and stakeholders’ value proposition", "year": 2023, "authors": [ "Federico Lanzalonga", "Michele Oppioli", "Francesca Dal Mas", "Silvana Filomena Secinaro" ], "first_author": "Federico Lanzalonga", "venue": "Journal of Cleaner Production", "volume": "423", "pages": null, "type": "article", "language": "en", "abstract": "Drones can play a significant role in the paradigm shift desired by several international entities. Although many attempts to transport through the technology have encountered regulatory barriers, drones represent disruptive mobility that can foster social and environmental sustainability. For the successful implementation of this new mobility model, the support of several stakeholders is critical. In this regard, the paper applies the theoretical lens of stakeholder theory embedded within the business 4.0 model for the creation of value propositions. Through several semi-structured interviews, the research analyses findings related to a single case study concerning the unique location of Venice, Italy. The city emerges as having international interest because of its singular transportation system. Specifically, Flying Aid, a start-up venture of the Strategy Innovation ecosystem of the Ca’ Foscari University of Venice, uses drones to transport drugs to remote areas to promote therapeutic access for patients with chronic diseases and transportation difficulties. The paper contributes to understanding how a paradigm shift through drone transportation may improve patient engagement and overcome transportation barriers. It also expands stakeholder engagement by empowering healthcare providers and promoting knowledge translation and systems integration. Moreover, the research contributes to the investigation of environmental and social sustainability by advancing knowledge toward cleaner production and decarbonized mobility. Finally, the paper provides insights into the elements of the business model 4.0, facilitating value creation for stakeholders.", "keywords": [ "Value proposition", "Drone", "Stakeholder engagement", "Sustainability", "Business model", "Stakeholder", "Disruptive innovation", "Knowledge management", "Business", "Value (mathematics)", "Co-creation", "Business ecosystem" ], "cited_by_openalex": 24, "cited_by_scopus": "28", "eid": "2-s2.0-85171167290", "pii": "S0959652623029220", "open_access_url": "https://doi.org/10.1016/j.jclepro.2023.138764", "sources": [ { "db": "openalex", "stream": "UAV", "query_id": "UAV-3" }, { "db": "scopus", "stream": "UAV", "query_id": "UAV-3" } ], "streams": [ "UAV" ], "relevance_signals": [ "UAV_NO_CTX" ], "auto_exclude_reason": "EC-4-topic", "screening_status": "auto_excluded", "screened_by": "auto-v1.0.0" }, { "id": "doi:10.1016/j.techfore.2023.122835", "doi": "10.1016/j.techfore.2023.122835", "title": "Forecasting market opportunities for urban and regional air mobility", "year": 2023, "authors": [ "Raj Bridgelall" ], "first_author": "Raj Bridgelall", "venue": "Technological Forecasting and Social Change", "volume": null, "pages": null, "type": "article", "language": "en", "abstract": null, "keywords": [ "Air transport", "Economic geography", "Environmental science", "Business", "Regional science", "Geography", "Transport engineering", "Engineering" ], "cited_by_openalex": 28, "cited_by_scopus": 0, "eid": null, "pii": null, "open_access_url": "https://doi.org/10.1016/j.techfore.2023.122835", "sources": [ { "db": "openalex", "stream": "UAV", "query_id": "UAV-3" } ], "streams": [ "UAV" ], "relevance_signals": [ "NO_TECHNOLOGY_MATCH" ], "auto_exclude_reason": "EC-4-topic", "screening_status": "auto_excluded", "screened_by": "auto-v1.0.0" }, { "id": "doi:10.1016/j.ejor.2022.05.022", "doi": "10.1016/j.ejor.2022.05.022", "title": "A matheuristic for a 2-echelon vehicle routing problem with capacitated satellites and reverse flows", "year": 2023, "authors": [ "Dumez D." ], "first_author": "Dumez D.", "venue": "European Journal of Operational Research", "volume": "305", "pages": "64-84", "type": "Article", "language": null, "abstract": null, "keywords": [], "cited_by_openalex": 0, "cited_by_scopus": "28", "eid": "2-s2.0-85131516135", "pii": "S0377221722003964", "open_access_url": null, "sources": [ { "db": "scopus", "stream": "TRUCK", "query_id": "TRUCK-2" } ], "streams": [ "TRUCK" ], "relevance_signals": [ "NO_TECHNOLOGY_MATCH" ], "auto_exclude_reason": "EC-4-topic", "screening_status": "auto_excluded", "screened_by": "auto-v1.0.0" }, { "id": "doi:10.1007/s40747-023-01259-1", "doi": "10.1007/s40747-023-01259-1", "title": "A two-stage hybrid ant colony algorithm for multi-depot half-open time-dependent electric vehicle routing problem", "year": 2023, "authors": [ "Lijun Fan" ], "first_author": "Lijun Fan", "venue": "Complex & Intelligent Systems", "volume": "10", "pages": "2107-2128", "type": "article", "language": "en", "abstract": "Abstract This article presents a detailed investigation into the Multi-Depot Half-Open Time-Dependent Electric Vehicle Routing Problem (MDHOTDEVRP) within the domain of urban distribution, prompted by the growing urgency to mitigate the environmental repercussions of logistics transportation. The study first surmounts the uncertainty in Electric Vehicle (EV) range arising from the dynamic nature of urban traffic networks by establishing a flexible energy consumption estimation strategy. Subsequently, a Mixed-Integer Programming (MIP) model is formulated, aiming to minimize the total distribution costs associated with EV dispatch, vehicle travel, customer service, and charging operations. Given the unique attributes intrinsic to the model, a Two-Stage Hybrid Ant Colony Algorithm (TSHACA) is developed as an effective solution approach. The algorithm leverages enhanced K-means clustering to assign customers to EVs in the first stage and employs an Improved Ant Colony Algorithm (IACA) for optimizing the distribution within each cluster in the second stage. Extensive simulations conducted on various test scenarios corroborate the economic and environmental benefits derived from the MDHOTDEVRP solution and demonstrate the superior performance of the proposed algorithm. The outcomes highlight TSHACA’s capability to efficiently allocate EVs from different depots, optimize vehicle routes, reduce carbon emissions, and minimize urban logistic expenditures. Consequently, this study contributes significantly to the advancement of sustainable urban logistics transportation, offering valuable insights for practitioners and policy-makers.", "keywords": [ "Ant colony optimization algorithms", "Electric vehicle", "Vehicle routing problem", "Cluster analysis", "Computer science", "Operations research", "Mathematical optimization", "Service (business)", "Routing (electronic design automation)", "Engineering", "Algorithm", "Artificial intelligence" ], "cited_by_openalex": 29, "cited_by_scopus": "27", "eid": "2-s2.0-85174938639", "pii": null, "open_access_url": "https://link.springer.com/content/pdf/10.1007/s40747-023-01259-1.pdf", "sources": [ { "db": "openalex", "stream": "TRUCK", "query_id": "TRUCK-2" }, { "db": "scopus", "stream": "TRUCK", "query_id": "TRUCK-2" } ], "streams": [ "TRUCK" ], "relevance_signals": [ "NO_TECHNOLOGY_MATCH" ], "auto_exclude_reason": "EC-4-topic", "screening_status": "auto_excluded", "screened_by": "auto-v1.0.0" }, { "id": "doi:10.3390/futuretransp3020024", "doi": "10.3390/futuretransp3020024", "title": "Last-Mile Logistics Network Design under E-Cargo Bikes", "year": 2023, "authors": [ "Eleni Papaioannou", "Christina A. Iliopoulou", "Konstantinos L. Kepaptsoglou" ], "first_author": "Eleni Papaioannou", "venue": "Future Transportation", "volume": "3", "pages": "403-416", "type": "article", "language": "en", "abstract": "E-cargo bikes, i.e., electric bicycles equipped with baskets for transporting goods, are perceived as an advantageous solution for urban last-mile logistics. Particularly for short distances and low volumes of goods, the use of e-cargo bikes is ideal in urban areas where access of conventional cars may be prohibited. In this context, this study presents an e-cargo bike routing model for urban deliveries. The problem is formulated as a Capacitated Vehicle Routing Problem (CVRP), which takes several aspects into account, such as restrictions on bicycle capacity, road grade and workload balancing. A mathematical model is constructed to solve the problem, and a Genetic Algorithm (GA) is applied. Results on a case study in Athens, Greece are presented and analyzed, highlighting the applicability of the model in real-world operations, yielding reasonable results in short computational times.", "keywords": [ "Vehicle routing problem", "Last mile (transportation)", "City logistics", "Context (archaeology)", "Transport engineering", "Workload", "Routing (electronic design automation)", "Genetic algorithm", "Computer science", "Mile", "Operations research", "Engineering" ], "cited_by_openalex": 34, "cited_by_scopus": "27", "eid": "2-s2.0-85166311457", "pii": null, "open_access_url": "https://www.mdpi.com/2673-7590/3/2/24/pdf?version=1680256008", "sources": [ { "db": "openalex", "stream": "TRUCK", "query_id": "TRUCK-2" }, { "db": "scopus", "stream": "TRUCK", "query_id": "TRUCK-2" } ], "streams": [ "TRUCK" ], "relevance_signals": [ "NO_TECHNOLOGY_MATCH" ], "auto_exclude_reason": "EC-4-topic", "screening_status": "auto_excluded", "screened_by": "auto-v1.0.0" }, { "id": "doi:10.3390/vaccines11030605", "doi": "10.3390/vaccines11030605", "title": "The Use of Drones to Deliver Rift Valley Fever Vaccines in Rwanda: Perceptions and Recommendations", "year": 2023, "authors": [ "Evan F. Griffith", "Janna M. Schurer", "Billy Mawindo", "Rita Kwibuka", "Thierry Turibyarive", "Janetrix Hellen Amuguni" ], "first_author": "Evan F. Griffith", "venue": "Vaccines", "volume": "11", "pages": null, "type": "article", "language": "en", "abstract": "Given the recent emergence of Rift Valley Fever (RVF) in Rwanda and its profound impact on livelihoods and health, improving RVF prevention and control strategies is crucial. Vaccinating livestock is one of the most sustainable strategies to mitigate the impact of RVF on health and livelihoods. However, vaccine supply chain constraints severely limit the effectiveness of vaccination programs. In the human health sector, unmanned aerial vehicles, i.e., drones, are increasingly used to improve supply chains and last-mile vaccine delivery. We investigated perceptions of whether delivering RVF vaccines by drone in Rwanda might help to overcome logistical constraints in the vaccine supply chain. We conducted semi-structured interviews with stakeholders in the animal health sector and Zipline employees in Nyagatare District in the Eastern Province of Rwanda. We used content analysis to identify key themes. We found that stakeholders in the animal health sector and Zipline employees believe that drones could improve RVF vaccination in Nyagatare. The primary benefits study participants identified included decreased transportation time, improved cold chain maintenance, and cost savings.", "keywords": [ "Rift Valley fever", "Livelihood", "Business", "Drone", "Vaccination", "Supply chain", "Environmental health", "Geography", "Medicine", "Marketing", "Agriculture", "Virology" ], "cited_by_openalex": 29, "cited_by_scopus": "27", "eid": "2-s2.0-85151541685", "pii": null, "open_access_url": "https://www.mdpi.com/2076-393X/11/3/605/pdf?version=1678161395", "sources": [ { "db": "openalex", "stream": "UAV", "query_id": "UAV-1" }, { "db": "scopus", "stream": "UAV", "query_id": "UAV-1" } ], "streams": [ "UAV" ], "relevance_signals": [ "UAV" ], "auto_exclude_reason": null, "screening_status": "pending_human_screening", "screened_by": "auto-v1.0.0" }, { "id": "doi:10.1016/j.eswa.2023.120992", "doi": "10.1016/j.eswa.2023.120992", "title": "A new hybrid distribution paradigm: Integrating drones in medicines delivery", "year": 2023, "authors": [ "Tânia Rodrigues Pereira Ramos", "Daniele Vigo" ], "first_author": "Tânia Rodrigues Pereira Ramos", "venue": "Expert Systems with Applications", "volume": "234", "pages": null, "type": "article", "language": "en", "abstract": "This paper analyses a new hybrid paradigm resulting from the integration of unmanned aerial vehicles (UAV), commonly referred to as drones, in logistics and distribution processes. This work is motivated by a real application, where the company Connect Robotics, the first drone delivery provider in Portugal, made a partnership with a pharmacy located at a rural region to start implementing the delivery of medicines by drone. The pharmacy receives orders throughout the day and has to deliver in the same day with tight lead-times. The resulting problem is modelled as a Dynamic Parallel Drone Scheduling Vehicle Routing Problem with Lead-Time. A solution method is devised to solve it, thus helping the pharmacist to plan the car and drone delivery routes during the day. The results obtained on real instances revealed that the solution method is effective when compared to the optimal solutions of the static version of the problem, since the dynamic solution only differs, on average, about 7% from the static one. Moreover, some managerial insights about the impact of adding drones to the distribution operation are discussed, namely the economic and environmental impacts with cost savings up to 41% and reduction of monthly CO2 emissions of 310 kg, the use of spare batteries which increase the benefit from 16% to 41%, and same-day versus next-day delivery.", "keywords": [ "Drone", "Spare part", "Computer science", "Scheduling (production processes)", "Robotics", "General partnership", "Operations research", "Distribution (mathematics)", "Robot", "Artificial intelligence", "Operations management", "Business" ], "cited_by_openalex": 24, "cited_by_scopus": "27", "eid": "2-s2.0-85166980274", "pii": "S095741742301494X", "open_access_url": "https://doi.org/10.1016/j.eswa.2023.120992", "sources": [ { "db": "openalex", "stream": "UAV", "query_id": "UAV-2" }, { "db": "scopus", "stream": "UAV", "query_id": "UAV-1" }, { "db": "scopus", "stream": "UAV", "query_id": "UAV-2" } ], "streams": [ "UAV" ], "relevance_signals": [ "UAV_NO_CTX" ], "auto_exclude_reason": "EC-4-topic", "screening_status": "auto_excluded", "screened_by": "auto-v1.0.0" }, { "id": "doi:10.1007/s43069-023-00228-1", "doi": "10.1007/s43069-023-00228-1", "title": "Routing Problems with Electric and Autonomous Vehicles: Review and Potential for Future Research", "year": 2023, "authors": [ "Themistoklis Stamadianos", "Nikolaos A. Kyriakakis", "Magdalene Marinaki", "Yannis Marinakis" ], "first_author": "Themistoklis Stamadianos", "venue": "Operations Research Forum", "volume": "4", "pages": null, "type": "article", "language": "en", "abstract": "Abstract The transportation sector has undergone a major transformation in the past few years with the shift to electric mobility and the introduction of new, promising types of vehicles. Sustainability is the driving force of this revolution, but, these changes are expected to greatly impact the space of logistics operations. Electric vans have been in the market for a few years already, and they are comparable to gas-powered vehicles in certain applications; however, they are not the only ones with great potential. Drones and ground robots are two new types of vehicles, the characteristics of which offer remarkable opportunities in supply chains. Nonetheless, theoretical research on logistics operations with the abovementioned vehicles has been distant from reality. This research aims to help researchers explore the untapped potential of electric vehicles. To achieve this, a thorough look into their technical aspects is provided, to determine the key elements that distinguish them, make a comparison to the existing literature, and identify the research gap. Due to the increased complexity and the sensitivity of these vehicles to externalities and uncertainties in general, research should address and explore four major elements of these novel supply chains, energy consumption, new vehicle types, dynamic environment, and communication between vehicles.", "keywords": [ "Externality", "Sustainability", "Computer science", "Drone", "Key (lock)", "Supply chain", "Space (punctuation)", "Transport engineering", "Energy consumption", "Electric vehicle", "Risk analysis (engineering)", "Business" ], "cited_by_openalex": 22, "cited_by_scopus": "27", "eid": "2-s2.0-85160852775", "pii": null, "open_access_url": "https://link.springer.com/content/pdf/10.1007/s43069-023-00228-1.pdf", "sources": [ { "db": "openalex", "stream": "UAV", "query_id": "UAV-2" }, { "db": "scopus", "stream": "UAV", "query_id": "UAV-2" } ], "streams": [ "UAV" ], "relevance_signals": [ "UAV_NO_CTX" ], "auto_exclude_reason": "EC-4-topic", "screening_status": "auto_excluded", "screened_by": "auto-v1.0.0" }, { "id": "doi:10.1109/tcns.2023.3262192", "doi": "10.1109/tcns.2023.3262192", "title": "Vertiport Selection in Hybrid Air–Ground Transportation Networks via Mathematical Programs With Equilibrium Constraints", "year": 2023, "authors": [ "Yue Yu", "Mengyuan Wang", "Mehran Mesbahi", "Ufuk Topcu" ], "first_author": "Yue Yu", "venue": "IEEE Transactions on Control of Network Systems", "volume": "10", "pages": "2108-2119", "type": "article", "language": "en", "abstract": "Urban air mobility is a concept that promotes aerial modes of transport in urban areas. In these areas, the location and capacity of the vertiports—where the travelers embark and disembark the aircraft—not only affect flight delays, but can also aggravate the congestion of ground vehicles by creating extra ground travel demands. In this article, we introduce a mathematical model for selecting the location and capacity of the vertiports that minimizes traffic congestion in hybrid air–ground transportation networks. Our model is based on a mathematical program with bilinear equilibrium constraints. Furthermore, we show how to compute a global optimal solution to this mathematical program by solving a mixed-integer linear program. We demonstrate our results via the Anaheim transportation network model, which contains more than 400 nodes and 900 links.", "keywords": [ "Computer science", "Bilinear interpolation", "Selection (genetic algorithm)", "Mathematical optimization", "Ground transportation", "Mathematical model", "Integer (computer science)", "Traffic congestion", "Transport engineering", "Engineering", "Mathematics" ], "cited_by_openalex": 30, "cited_by_scopus": "27", "eid": "2-s2.0-85151538931", "pii": null, "open_access_url": "https://arxiv.org/pdf/2203.05702", "sources": [ { "db": "openalex", "stream": "UAV", "query_id": "UAV-3" }, { "db": "scopus", "stream": "UAV", "query_id": "UAV-3" } ], "streams": [ "UAV" ], "relevance_signals": [ "UAV_NO_CTX" ], "auto_exclude_reason": "EC-4-topic", "screening_status": "auto_excluded", "screened_by": "auto-v1.0.0" }, { "id": "doi:10.1016/j.trc.2023.104442", "doi": "10.1016/j.trc.2023.104442", "title": "Structure and dynamics of urban freight truck movements: A complex network theory perspective", "year": 2023, "authors": [ "Yitao Yang", "Bin Jia", "Xiao-Yong Yan", "Yan Chen", "Lóránt Antal Tavasszy", "Michiel de Bok", "Zhuotong Bai", "Erjian Liu", "Ziyou Gao" ], "first_author": "Yitao Yang", "venue": "Transportation Research Part C Emerging Technologies", "volume": "158", "pages": null, "type": "article", "language": "en", "abstract": null, "keywords": [ "Truck", "Transport engineering", "Sustainability", "Core (optical fiber)", "Traffic management", "System dynamics", "Perspective (graphical)", "Urban planning", "Field (mathematics)", "Economic geography", "Regional science", "Computer science" ], "cited_by_openalex": 30, "cited_by_scopus": "26", "eid": "2-s2.0-85178110121", "pii": "S0968090X23004321", "open_access_url": "https://doi.org/10.1016/j.trc.2023.104442", "sources": [ { "db": "openalex", "stream": "TRUCK", "query_id": "TRUCK-1" }, { "db": "scopus", "stream": "TRUCK", "query_id": "TRUCK-1" } ], "streams": [ "TRUCK" ], "relevance_signals": [ "TRUCK" ], "auto_exclude_reason": null, "screening_status": "pending_human_screening", "screened_by": "auto-v1.0.0" }, { "id": "doi:10.1186/s12544-023-00606-0", "doi": "10.1186/s12544-023-00606-0", "title": "Modelling public attitude towards drone delivery in Germany", "year": 2023, "authors": [ "Robin Kellermann", "Tobias Biehle", "Hamid Mostofi" ], "first_author": "Robin Kellermann", "venue": "European Transport Research Review", "volume": "15", "pages": null, "type": "article", "language": "en", "abstract": "Abstract Background Last-mile delivery by drone is expected to be a promising innovation for future urban logistics. However, in addition to adoption of services by customers, leveraging this delivery method will depend essentially on a positive public perception of such services in urban airspace. Objective This article provides novel and comprehensive insights into factors driving or impeding citizens' attitudes towards drone delivery. Methodology The article develops a structural equation model that derives from a sequential exploratory mixed methods design. In the first step, factors affecting attitudes towards drone delivery were identified within the scope of five focus groups and converted into the development of a questionnaire. In the second step, a German population-representative survey was conducted through telephone interviews, which provided reliable data to test the model (n = 819). Results Expected risks (particularly stress due to traffic in lower airspace, noise, and visual disturbances), as well as expected benefits (particularly fast and time-flexible delivery), significantly affect attitudes towards drone-based delivery, while the individual level of technological openness (technophilia) does not have a significant association. Moreover, the model reveals that the expected risks of drone deliveries are stronger associated with public attitude than with expected benefits. Conclusions The provided framework suggests fashioning policies and drone delivery applications that focus on mitigating social, spatial, and visual risks while achieving maximum utility for customers.", "keywords": [ "Drone", "Openness to experience", "Structural equation modeling", "Business", "Risk perception", "Scope (computer science)", "Population", "Focus group", "Perception", "Marketing", "Transport engineering", "Engineering" ], "cited_by_openalex": 27, "cited_by_scopus": "26", "eid": "2-s2.0-85174864223", "pii": null, "open_access_url": "https://etrr.springeropen.com/counter/pdf/10.1186/s12544-023-00606-0", "sources": [ { "db": "openalex", "stream": "UAV", "query_id": "UAV-1" }, { "db": "openalex", "stream": "UAV", "query_id": "UAV-3" }, { "db": "scopus", "stream": "UAV", "query_id": "UAV-1" }, { "db": "scopus", "stream": "UAV", "query_id": "UAV-3" } ], "streams": [ "UAV" ], "relevance_signals": [ "UAV" ], "auto_exclude_reason": null, "screening_status": "pending_human_screening", "screened_by": "auto-v1.0.0" }, { "id": "doi:10.1016/j.ast.2023.108572", "doi": "10.1016/j.ast.2023.108572", "title": "A bi-level planning approach of logistics unmanned aerial vehicle route network", "year": 2023, "authors": [ "Shan Li", "Honghai Zhang", "Yi Jia", "Hao Liu" ], "first_author": "Shan Li", "venue": "Aerospace Science and Technology", "volume": null, "pages": null, "type": "article", "language": "en", "abstract": null, "keywords": [ "Simulated annealing", "Computer science", "Transport engineering", "Network planning and design", "Flow network", "Simulation", "Real-time computing", "Operations research", "Computer network", "Engineering", "Mathematical optimization" ], "cited_by_openalex": 26, "cited_by_scopus": 0, "eid": null, "pii": null, "open_access_url": "https://doi.org/10.1016/j.ast.2023.108572", "sources": [ { "db": "openalex", "stream": "UAV", "query_id": "UAV-2" } ], "streams": [ "UAV" ], "relevance_signals": [ "UAV_NO_CTX" ], "auto_exclude_reason": "EC-4-topic", "screening_status": "auto_excluded", "screened_by": "auto-v1.0.0" }, { "id": "doi:10.3390/s23031233", "doi": "10.3390/s23031233", "title": "ALIEN: Assisted Learning Invasive Encroachment Neutralization for Secured Drone Transportation System", "year": 2023, "authors": [ "Simeon Okechukwu Ajakwe", "Vivian Ukamaka Ihekoronye", "Dong‐Seong Kim", "Jae‐Min Lee" ], "first_author": "Simeon Okechukwu Ajakwe", "venue": "Sensors", "volume": "23", "pages": null, "type": "article", "language": "en", "abstract": "Priority-based logistics and the polarization of drones in civil aviation will cause an extraordinary disturbance in the ecosystem of future airborne intelligent transportation networks. A dynamic invention needs dynamic sophistication for sustainability and security to prevent abusive use. Trustworthy and dependable designs can provide accurate risk assessment of autonomous aerial vehicles. Using deep neural networks and related technologies, this study proposes an artificial intelligence (AI) collaborative surveillance strategy for identifying, verifying, validating, and responding to malicious use of drones in a drone transportation network. The dataset for simulation consists of 3600 samples of 9 distinct conveyed objects and 7200 samples of the visioDECT dataset obtained from 6 different drone types flown under 3 different climatic circumstances (evening, cloudy, and sunny) at different locations, altitudes, and distance. The ALIEN model clearly demonstrates high rationality across all metrics, with an F1-score of 99.8%, efficiency with the lowest noise/error value of 0.037, throughput of 16.4 Gbps, latency of 0.021, and reliability of 99.9% better than other SOTA models, making it a suitable, proactive, and real-time avionic vehicular technology enabler for sustainable and secured DTS.", "keywords": [ "Drone", "Computer science", "Computer security", "Avionics", "Artificial intelligence", "Engineering" ], "cited_by_openalex": 26, "cited_by_scopus": "26", "eid": "2-s2.0-85147893915", "pii": null, "open_access_url": "https://www.mdpi.com/1424-8220/23/3/1233/pdf?version=1675323887", "sources": [ { "db": "openalex", "stream": "UAV", "query_id": "UAV-3" }, { "db": "scopus", "stream": "UAV", "query_id": "UAV-3" } ], "streams": [ "UAV" ], "relevance_signals": [ "UAV_NO_CTX" ], "auto_exclude_reason": "EC-4-topic", "screening_status": "auto_excluded", "screened_by": "auto-v1.0.0" }, { "id": "doi:10.1016/j.trip.2023.100761", "doi": "10.1016/j.trip.2023.100761", "title": "Study on facility location of air taxi skyports using a prescriptive analytics approach", "year": 2023, "authors": [ "Akhouri Amitanand Sinha", "Suchithra Rajendran" ], "first_author": "Akhouri Amitanand Sinha", "venue": "Transportation Research Interdisciplinary Perspectives", "volume": null, "pages": null, "type": "article", "language": "en", "abstract": "The current study identifies infrastructure locations for air taxi operations in New York City (NYC) using a prescriptive analytics approach. Based on the potential air taxi demand estimated by prior studies, 14 unique sites are identified by an unsupervised machine learning technique called clustering large applications (CLARA) in Step-1. However, developing all the suggested stations simultaneously might be challenging for any business, and therefore, an integer programming model is developed in Step-2 to propose opening these centers in multiple phases, considering parameters such as rental cost, daily number of trips, easy access to road facilities, and employee salary, while maximizing the demand satisfaction. Sensitivity analysis is then conducted to identify the impact of various market penetration strategies (such as aggressive, defensive and balanced), inflation in the rental cost and employee salary, and the emergence of latent demand on the phased opening of the facilities. The clustering algorithm results indicate seven air taxi facilities to be established in the Manhattan borough, four in Queens, two in Brooklyn, and one in New Jersey, spread across three phases. Larger vertiports are suggested for airports, such as John F Kennedy and LaGuardia international airports, since they serve approximately 55% of the overall demand. Results also showed that varying percentages of the budgeted rental cost and employee salary have minimal effect on the total number of stations.", "keywords": [ "Renting", "Salary", "Operations research", "Analytics", "Cluster analysis", "TRIPS architecture", "Transport engineering", "Computer science", "Operations management", "Business", "Marketing", "Engineering" ], "cited_by_openalex": 26, "cited_by_scopus": 0, "eid": null, "pii": null, "open_access_url": "https://doi.org/10.1016/j.trip.2023.100761", "sources": [ { "db": "openalex", "stream": "UAV", "query_id": "UAV-3" } ], "streams": [ "UAV" ], "relevance_signals": [ "UAV_NO_CTX" ], "auto_exclude_reason": "EC-4-topic", "screening_status": "auto_excluded", "screened_by": "auto-v1.0.0" }, { "id": "doi:10.1177/03611981221123246", "doi": "10.1177/03611981221123246", "title": "Exploring the Potential Impact of Crowdshipping Using Public Transport in Singapore", "year": 2023, "authors": [ "Zhang M." ], "first_author": "Zhang M.", "venue": "Transportation Research Record", "volume": "2677", "pages": "173-189", "type": "Article", "language": null, "abstract": null, "keywords": [], "cited_by_openalex": 0, "cited_by_scopus": "26", "eid": "2-s2.0-85139189870", "pii": null, "open_access_url": null, "sources": [ { "db": "scopus", "stream": "TRUCK", "query_id": "TRUCK-1" }, { "db": "scopus", "stream": "TRUCK", "query_id": "TRUCK-2" } ], "streams": [ "TRUCK" ], "relevance_signals": [ "NO_TECHNOLOGY_MATCH" ], "auto_exclude_reason": "EC-4-topic", "screening_status": "auto_excluded", "screened_by": "auto-v1.0.0" }, { "id": "doi:10.1016/j.tre.2023.103318", "doi": "10.1016/j.tre.2023.103318", "title": "Uncovering and modeling the hierarchical organization of urban heavy truck flows", "year": 2023, "authors": [ "Yitao Yang", "Bin Jia", "Xiao-Yong Yan", "Danyue Zhi", "Dongdong Song", "Yan Chen", "Michiel de Bok", "Lóránt Antal Tavasszy", "Ziyou Gao" ], "first_author": "Yitao Yang", "venue": "Transportation Research Part E Logistics and Transportation Review", "volume": "179", "pages": null, "type": "article", "language": "en", "abstract": null, "keywords": [ "Truck", "Transport engineering", "Urban agglomeration", "Construct (python library)", "Street network", "Computer science", "Process (computing)", "Economies of agglomeration", "Scale (ratio)", "Economic geography", "Geography", "Engineering" ], "cited_by_openalex": 25, "cited_by_scopus": "25", "eid": "2-s2.0-85173284446", "pii": "S136655452300306X", "open_access_url": "https://repository.tudelft.nl/file/File_00c35461-b2c9-4d18-888c-9661e9ecc948", "sources": [ { "db": "openalex", "stream": "TRUCK", "query_id": "TRUCK-1" }, { "db": "scopus", "stream": "TRUCK", "query_id": "TRUCK-1" } ], "streams": [ "TRUCK" ], "relevance_signals": [ "TRUCK_NO_CTX" ], "auto_exclude_reason": "EC-4-topic", "screening_status": "auto_excluded", "screened_by": "auto-v1.0.0" }, { "id": "doi:10.3390/su15043091", "doi": "10.3390/su15043091", "title": "Evaluating the Effects of Logistics Center Location: An Analytical Framework for Sustainable Urban Logistics", "year": 2023, "authors": [ "Yanxia Wang", "Yisong Li", "Changxiang Lu" ], "first_author": "Yanxia Wang", "venue": "Sustainability", "volume": "15", "pages": null, "type": "article", "language": "en", "abstract": "Sustainable urban logistics require support of sustainable logistics center location planning. Nevertheless, urban public authorities generally experience difficulties in choosing a successful planning scheme, due to the lack of a rigorous analytical tool designed to help understand how logistics center location affects sustainability throughout the supply chain. A poor location can keep a firm or a supply chain from reaching its economic, environmental, and social sustainability goals. A good location can help meet these goals. To address the pressing cause of policy failure, this paper developed an analytical framework by integrating the multi-criteria decision-making method and the shortest path model with multiple objectives. The developed framework can be used to evaluate the effects of logistics center location schemes on travel time, transport costs, carbon emission, and road traffic, and further explore the conflict level among them. It is applied to Beijing in this paper. The analysis results reveal that: (1) travel time, transport costs, and carbon emissions all vary along with the distance from logistics center location to the city center; (2) encouraging cargo companies to plan their truck paths with the navigation objective of minimizing travel time is an excellent way to achieve sustainable urban logistics, because in this scenario, freight transport is the quickest, and transport costs and carbon emissions are all more moderate. Additionally, this paper confirmed the conflict level among sustainability goals of urban logistics based on actual contextual data. The proposed framework is a helpful guide tool for urban planners to develop sustainable logistics land-use planning and responsive policy interventions.", "keywords": [ "Sustainability", "Beijing", "Business", "Supply chain", "Transport engineering", "Environmental economics", "Traffic management", "Sustainable development", "Sustainable transport", "Logistics center", "Marketing", "Engineering" ], "cited_by_openalex": 24, "cited_by_scopus": "25", "eid": "2-s2.0-85149219305", "pii": null, "open_access_url": "https://www.mdpi.com/2071-1050/15/4/3091/pdf?version=1675853654", "sources": [ { "db": "openalex", "stream": "TRUCK", "query_id": "TRUCK-1" }, { "db": "scopus", "stream": "TRUCK", "query_id": "TRUCK-1" } ], "streams": [ "TRUCK" ], "relevance_signals": [ "TRUCK" ], "auto_exclude_reason": null, "screening_status": "pending_human_screening", "screened_by": "auto-v1.0.0" }, { "id": "doi:10.1371/journal.pone.0291473", "doi": "10.1371/journal.pone.0291473", "title": "A hybrid adaptive large neighborhood search for time-dependent open electric vehicle routing problem with hybrid energy replenishment strategies", "year": 2023, "authors": [ "Lijun Fan" ], "first_author": "Lijun Fan", "venue": "PLoS ONE", "volume": "18", "pages": null, "type": "article", "language": "en", "abstract": "As competition intensifies, an increasing number of companies opt to outsource their package distribution operations to professional Third-Party Logistics (3PL) fleets. In response to the growing concern over urban pollution, 3PL fleets have begun to deploy Electric Vehicles (EVs) to perform transportation tasks. This paper aims to address the Time-Dependent Open Electric Vehicle Routing Problem with Hybrid Energy Replenishment Strategies (TDOEVRP-HERS) in the context of urban distribution. The study considers the effect of dynamic urban transport networks on EV energy drain and develops an approach for estimating energy consumption. Meanwhile, the research further empowers 3PL fleets to judiciously oscillate between an array of energy replenishment techniques, encompassing both charging and battery swapping. Based on these insights, a Mixed-Integer Programming (MIP) model with the objective of minimizing total distribution costs incurred by the 3PL fleet is formulated. Given the characteristics of the model, a Hybrid Adaptive Large Neighborhood Search (HALNS) is designed, synergistically integrating the explorative prowess of Ant Colony Optimization (ACO) with the localized search potency of Adaptive Large Neighborhood Search (ALNS). The strategic blend leverages the broad-based solution initiation of ACO as a foundational layer for ALNS's deeper, nuanced refinements. Numerical experiments on a spectrum of test sets corroborate the efficacy of the HALNS: it proficiently designs vehicular itineraries, trims down EV energy requisites, astutely chooses appropriate energy replenishment avenues, and slashes logistics-related outlays. Therefore, this work not only introduces a new hybrid heuristic technique within the EVRP field, providing high-quality solutions but also accentuates its pivotal role in fostering a sustainable trajectory for urban logistics transportation.", "keywords": [ "Context (archaeology)", "Computer science", "Vehicle routing problem", "Electric vehicle", "Operations research", "Mathematical optimization", "Heuristic", "Metaheuristic", "Routing (electronic design automation)", "Engineering", "Artificial intelligence", "Mathematics" ], "cited_by_openalex": 20, "cited_by_scopus": "25", "eid": "2-s2.0-85171347918", "pii": null, "open_access_url": "https://journals.plos.org/plosone/article/file?id=10.1371/journal.pone.0291473&type=printable", "sources": [ { "db": "openalex", "stream": "TRUCK", "query_id": "TRUCK-2" }, { "db": "scopus", "stream": "TRUCK", "query_id": "TRUCK-2" } ], "streams": [ "TRUCK" ], "relevance_signals": [ "NO_TECHNOLOGY_MATCH" ], "auto_exclude_reason": "EC-4-topic", "screening_status": "auto_excluded", "screened_by": "auto-v1.0.0" }, { "id": "doi:10.1016/j.trd.2023.103719", "doi": "10.1016/j.trd.2023.103719", "title": "Characterization of urban distribution networks with light electric freight vehicles", "year": 2023, "authors": [ "Jenny Díaz-Ramírez", "Sebastián Zazueta-Nassif", "Roberto Galarza-Tamez", "Daniel Prato-Sánchez", "Jose Ignacio Huertas" ], "first_author": "Jenny Díaz-Ramírez", "venue": "Transportation Research Part D Transport and Environment", "volume": "119", "pages": null, "type": "article", "language": "en", "abstract": null, "keywords": [ "Truck", "City logistics", "Electricity", "Transport engineering", "Gallon (US)", "Fuel efficiency", "Greenhouse gas", "Business", "Latin Americans", "Distribution (mathematics)", "Environmental economics", "Last mile (transportation)" ], "cited_by_openalex": 23, "cited_by_scopus": "25", "eid": "2-s2.0-85153494228", "pii": "S1361920923001165", "open_access_url": "https://doi.org/10.1016/j.trd.2023.103719", "sources": [ { "db": "openalex", "stream": "TRUCK", "query_id": "TRUCK-2" }, { "db": "scopus", "stream": "TRUCK", "query_id": "TRUCK-1" }, { "db": "scopus", "stream": "TRUCK", "query_id": "TRUCK-2" } ], "streams": [ "TRUCK" ], "relevance_signals": [ "TRUCK" ], "auto_exclude_reason": null, "screening_status": "pending_human_screening", "screened_by": "auto-v1.0.0" }, { "id": "doi:10.1016/j.cor.2023.106319", "doi": "10.1016/j.cor.2023.106319", "title": "A variable neighborhood search for parcel delivery by vehicle with drone cycles", "year": 2023, "authors": [ "Amro M. El-Adle", "Ahmed Eisa Ghoniem", "Mohamed Haouari" ], "first_author": "Amro M. El-Adle", "venue": "Computers & Operations Research", "volume": "159", "pages": null, "type": "article", "language": "en", "abstract": null, "keywords": [ "Drone", "Computer science", "Benchmark (surveying)", "Travelling salesman problem", "Heuristic", "Variable neighborhood search", "Operations research", "Rendezvous", "Variable (mathematics)", "Key (lock)", "Metaheuristic", "Artificial intelligence" ], "cited_by_openalex": 27, "cited_by_scopus": "25", "eid": "2-s2.0-85162806386", "pii": "S0305054823001831", "open_access_url": "https://www.sciencedirect.com/science/article/pii/S0305054823001831", "sources": [ { "db": "openalex", "stream": "UAV", "query_id": "UAV-1" }, { "db": "scopus", "stream": "UAV", "query_id": "UAV-1" } ], "streams": [ "UAV" ], "relevance_signals": [ "UAV" ], "auto_exclude_reason": null, "screening_status": "pending_human_screening", "screened_by": "auto-v1.0.0" }, { "id": "doi:10.1016/j.cie.2023.109542", "doi": "10.1016/j.cie.2023.109542", "title": "A logic-based Benders decomposition algorithm for a repair crew routing and drone scheduling problem after a natural disaster", "year": 2023, "authors": [ "Motahhareh Safdari Shadlou", "Mohammad Reza Ranjbar", "Majid Salari" ], "first_author": "Motahhareh Safdari Shadlou", "venue": "Computers & Industrial Engineering", "volume": "183", "pages": null, "type": "article", "language": "en", "abstract": null, "keywords": [ "Damages", "Crew", "Drone", "Computer science", "Natural disaster", "Scheduling (production processes)", "Integer programming", "Operations research", "Routing (electronic design automation)", "Mathematical optimization", "Engineering", "Computer network" ], "cited_by_openalex": 21, "cited_by_scopus": "25", "eid": "2-s2.0-85168763813", "pii": "S0360835223005661", "open_access_url": "https://doi.org/10.1016/j.cie.2023.109542", "sources": [ { "db": "openalex", "stream": "UAV", "query_id": "UAV-2" }, { "db": "scopus", "stream": "UAV", "query_id": "UAV-2" } ], "streams": [ "UAV" ], "relevance_signals": [ "UAV_NO_CTX" ], "auto_exclude_reason": "EC-4-topic", "screening_status": "auto_excluded", "screened_by": "auto-v1.0.0" }, { "id": "doi:10.1016/j.apm.2023.07.009", "doi": "10.1016/j.apm.2023.07.009", "title": "A heuristic approach for scheduling advanced air mobility aircraft at vertiports", "year": 2023, "authors": [ "Julián Alberto Espejo-Díaz", "Edgar H. Alfonso-Lizarazo", "Jairo R. Montoya‐Torres" ], "first_author": "Julián Alberto Espejo-Díaz", "venue": "Applied Mathematical Modelling", "volume": "123", "pages": "871-890", "type": "article", "language": "en", "abstract": null, "keywords": [ "Scheduling (production processes)", "Heuristic", "Computer science", "Mathematical optimization", "Aerospace engineering", "Operations research", "Engineering", "Mathematics", "Artificial intelligence" ], "cited_by_openalex": 22, "cited_by_scopus": "25", "eid": "2-s2.0-85168416342", "pii": "S0307904X23003062", "open_access_url": "https://doi.org/10.1016/j.apm.2023.07.009", "sources": [ { "db": "openalex", "stream": "UAV", "query_id": "UAV-3" }, { "db": "scopus", "stream": "UAV", "query_id": "UAV-3" } ], "streams": [ "UAV" ], "relevance_signals": [ "UAV_NO_CTX" ], "auto_exclude_reason": "EC-4-topic", "screening_status": "auto_excluded", "screened_by": "auto-v1.0.0" }, { "id": "doi:10.1016/j.rser.2023.113253", "doi": "10.1016/j.rser.2023.113253", "title": "Factors influencing e-cargo bike mode choice for small businesses", "year": 2023, "authors": [ "Malik F.A." ], "first_author": "Malik F.A.", "venue": "Renewable and Sustainable Energy Reviews", "volume": "178", "pages": null, "type": "Article", "language": null, "abstract": null, "keywords": [], "cited_by_openalex": 0, "cited_by_scopus": "25", "eid": "2-s2.0-85149816644", "pii": "S1364032123001090", "open_access_url": null, "sources": [ { "db": "scopus", "stream": "TRUCK", "query_id": "TRUCK-1" } ], "streams": [ "TRUCK" ], "relevance_signals": [ "NO_TECHNOLOGY_MATCH" ], "auto_exclude_reason": "EC-4-topic", "screening_status": "auto_excluded", "screened_by": "auto-v1.0.0" }, { "id": "doi:10.1177/03611981221124592", "doi": "10.1177/03611981221124592", "title": "Time-Constrained Capacitated Vehicle Routing Problem in Urban E-Commerce Delivery", "year": 2023, "authors": [ "Cokyasar T." ], "first_author": "Cokyasar T.", "venue": "Transportation Research Record", "volume": "2677", "pages": "190-203", "type": "Article", "language": null, "abstract": null, "keywords": [], "cited_by_openalex": 0, "cited_by_scopus": "25", "eid": "2-s2.0-85139523342", "pii": null, "open_access_url": null, "sources": [ { "db": "scopus", "stream": "TRUCK", "query_id": "TRUCK-1" }, { "db": "scopus", "stream": "TRUCK", "query_id": "TRUCK-2" } ], "streams": [ "TRUCK" ], "relevance_signals": [ "NO_TECHNOLOGY_MATCH" ], "auto_exclude_reason": "EC-4-topic", "screening_status": "auto_excluded", "screened_by": "auto-v1.0.0" }, { "id": "doi:10.1016/j.cie.2023.109404", "doi": "10.1016/j.cie.2023.109404", "title": "Fuzzy multi-objective truck scheduling in multi-modal rail–road Physical Internet hubs", "year": 2023, "authors": [ "Fatma Essghaier", "Tarik Chargui", "Tienté Hsu", "Abdelghani Bekrar", "Hamid Allaoui", "Damien Trentesaux", "Gilles Gonçalves" ], "first_author": "Fatma Essghaier", "venue": "Computers & Industrial Engineering", "volume": "182", "pages": null, "type": "article", "language": "en", "abstract": null, "keywords": [ "Truck", "Computer science", "Operations research", "Supply chain", "Modal", "Fuzzy logic", "The Internet", "Scheduling (production processes)", "Integer programming", "Mathematical optimization", "Engineering", "Business" ], "cited_by_openalex": 24, "cited_by_scopus": "24", "eid": "2-s2.0-85165179772", "pii": "S036083522300428X", "open_access_url": "https://doi.org/10.1016/j.cie.2023.109404", "sources": [ { "db": "openalex", "stream": "TRUCK", "query_id": "TRUCK-3" }, { "db": "scopus", "stream": "TRUCK", "query_id": "TRUCK-3" } ], "streams": [ "TRUCK" ], "relevance_signals": [ "TRUCK_NO_CTX" ], "auto_exclude_reason": "EC-4-topic", "screening_status": "auto_excluded", "screened_by": "auto-v1.0.0" }, { "id": "doi:10.1016/j.techsoc.2023.102250", "doi": "10.1016/j.techsoc.2023.102250", "title": "Upcoming drone delivery services: A perceptions-based clustering of citizens in Lisbon", "year": 2023, "authors": [ "Anastasia Bafouni - Kotta", "Jonathan Villanueva", "Sofia Kalakou", "José G. Dias" ], "first_author": "Anastasia Bafouni - Kotta", "venue": "Technology in Society", "volume": "73", "pages": null, "type": "article", "language": "en", "abstract": null, "keywords": [ "Drone", "Metropolitan area", "Business", "Service (business)", "Service provider", "Service delivery framework", "Cluster analysis", "Marketing", "Public relations", "Political science", "Computer science", "Geography" ], "cited_by_openalex": 23, "cited_by_scopus": "24", "eid": "2-s2.0-85152968684", "pii": "S0160791X23000556", "open_access_url": "http://hdl.handle.net/10071/28678", "sources": [ { "db": "openalex", "stream": "UAV", "query_id": "UAV-1" }, { "db": "scopus", "stream": "UAV", "query_id": "UAV-1" } ], "streams": [ "UAV" ], "relevance_signals": [ "UAV_NO_CTX" ], "auto_exclude_reason": "EC-4-topic", "screening_status": "auto_excluded", "screened_by": "auto-v1.0.0" }, { "id": "doi:10.3390/drones7110679", "doi": "10.3390/drones7110679", "title": "Multi-UAV Urban Logistics Task Allocation Method Based on MCTS", "year": 2023, "authors": [ "Zeyuan Ma", "Jing Chen" ], "first_author": "Zeyuan Ma", "venue": "Drones", "volume": "7", "pages": null, "type": "article", "language": "en", "abstract": "Unmanned aerial vehicles (UAVs) open new methods for efficient and rapid transportation in urban logistics distribution, where task allocation is a significant issue. In urban logistics systems, the energy status of UAVs is a critical factor in ensuring mission fulfillment. While extensive literature addresses the energy consumption of UAVs during tasks, the feasibility of energy replenishment must be addressed, which introduces additional uncertainty to the task allocation. This paper realizes multi-tasking, considering the energy consumption and replenishment of UAVs, to ensure that the tasks can be accomplished while reducing energy consumption. This paper proposes uniform distribution K-means to realize balanced multi-task grouping. Based on the Monte Carlo tree search (MCTS), a task-allocation-oriented MCTS method is proposed, including improving the selection and simulation process of MCTS. The aim was to collaborate with multiple trees for node selection and record historical simulation information to guide subsequent simulations for better results. Finally, the optimality of the proposed method was validated by comparing it with other relevant MCTS methods through several randomized experiments.", "keywords": [ "Computer science", "Task (project management)", "Energy consumption", "Process (computing)", "Node (physics)", "Monte Carlo tree search", "Selection (genetic algorithm)", "Energy (signal processing)", "Tree (set theory)", "Distributed computing", "Real-time computing", "Monte Carlo method" ], "cited_by_openalex": 22, "cited_by_scopus": "24", "eid": "2-s2.0-85178294341", "pii": null, "open_access_url": "https://www.mdpi.com/2504-446X/7/11/679/pdf?version=1700233064", "sources": [ { "db": "openalex", "stream": "UAV", "query_id": "UAV-1" }, { "db": "scopus", "stream": "UAV", "query_id": "UAV-1" } ], "streams": [ "UAV" ], "relevance_signals": [ "UAV" ], "auto_exclude_reason": null, "screening_status": "pending_human_screening", "screened_by": "auto-v1.0.0" }, { "id": "doi:10.1007/978-3-031-18716-2_1", "doi": "10.1007/978-3-031-18716-2_1", "title": "The Evolution of the Vehicle Routing Problem—A Survey of VRP Research and Practice from 2005 to 2022", "year": 2023, "authors": [ "Bruce Golden", "Xingyin Wang", "Edward Wasil" ], "first_author": "Bruce Golden", "venue": "Synthesis lectures on operations research and applications", "volume": null, "pages": null, "type": "book-chapter", "language": "en", "abstract": null, "keywords": [ "Vehicle routing problem", "Heuristic", "Routing (electronic design automation)", "Key (lock)", "Computer science", "Operations research", "Engineering", "Artificial intelligence", "Computer network" ], "cited_by_openalex": 24, "cited_by_scopus": 0, "eid": null, "pii": null, "open_access_url": "https://doi.org/10.1007/978-3-031-18716-2_1", "sources": [ { "db": "openalex", "stream": "UAV", "query_id": "UAV-2" } ], "streams": [ "UAV" ], "relevance_signals": [ "NO_TECHNOLOGY_MATCH" ], "auto_exclude_reason": "EC-4-topic", "screening_status": "auto_excluded", "screened_by": "auto-v1.0.0" }, { "id": "doi:10.1002/net.22172", "doi": "10.1002/net.22172", "title": "A new MILP formulation for the flying sidekick traveling salesman problem", "year": 2023, "authors": [ "Maurizio Boccia", "Andrea Mancuso", "Adriano Masone", "Claudio Sterle" ], "first_author": "Maurizio Boccia", "venue": "Networks", "volume": "82", "pages": "254-276", "type": "article", "language": "en", "abstract": "Abstract Nowadays, truck‐and‐drone problems represent one of the most studied classes of vehicle routing problems. The Flying Sidekick Traveling Salesman Problem ( FS‐TSP ) is the first optimization problem defined in this class. Since its definition, several variants have been proposed differing for the side constraints related to the operating conditions and for the structure of the hybrid truck‐and‐drone delivery system. However, regardless the specific problem under investigation, determining the optimal solution of most of these routing problems is a very challenging task, due to the vehicle synchronization issue. On this basis, this work provides a new arc‐based integer linear programming formulation for the FS‐TSP . The solution of such formulation required the development of a branch‐and‐cut solution approach based on new families of valid inequalities and variable fixing strategies. We tested the proposed approach on different sets of benchmark instances. The experimentation shows that the proposed method is competitive or outperforms the state‐of‐the‐art approaches, providing either the optimal solution or improved bounds for several instances unsolved before.", "keywords": [ "Travelling salesman problem", "Benchmark (surveying)", "Mathematical optimization", "Computer science", "Routing (electronic design automation)", "Vehicle routing problem", "Drone", "Integer programming", "Branch and cut", "Linear programming", "Class (philosophy)", "Mathematics" ], "cited_by_openalex": 25, "cited_by_scopus": "24", "eid": "2-s2.0-85164510400", "pii": null, "open_access_url": "https://onlinelibrary.wiley.com/doi/pdfdirect/10.1002/net.22172", "sources": [ { "db": "openalex", "stream": "UAV", "query_id": "UAV-2" }, { "db": "scopus", "stream": "UAV", "query_id": "UAV-2" } ], "streams": [ "UAV" ], "relevance_signals": [ "UAV_NO_CTX", "TRUCK_NO_CTX" ], "auto_exclude_reason": "EC-4-topic", "screening_status": "auto_excluded", "screened_by": "auto-v1.0.0" }, { "id": "doi:10.19595/j.cnki.1000-6753.tces.221353", "doi": "10.19595/j.cnki.1000-6753.tces.221353", "title": "Resilience Assessment and Enhancement Methods for Urban Energy System Considering Electricity-Gas-Heat-Transport Interdependency", "year": 2023, "authors": [ "Tao R." ], "first_author": "Tao R.", "venue": "Diangong Jishu Xuebao Transactions of China Electrotechnical Society", "volume": "38", "pages": "6133-6149", "type": "Article", "language": null, "abstract": null, "keywords": [], "cited_by_openalex": 0, "cited_by_scopus": "24", "eid": "2-s2.0-85183662777", "pii": null, "open_access_url": null, "sources": [ { "db": "scopus", "stream": "TRUCK", "query_id": "TRUCK-2" } ], "streams": [ "TRUCK" ], "relevance_signals": [ "NO_TECHNOLOGY_MATCH" ], "auto_exclude_reason": "EC-4-topic", "screening_status": "auto_excluded", "screened_by": "auto-v1.0.0" }, { "id": "doi:10.1109/tits.2023.3280995", "doi": "10.1109/tits.2023.3280995", "title": "A Connectivity Aware Path Planning for a Fleet of UAVs in an Urban Environment", "year": 2023, "authors": [ "Bashir N." ], "first_author": "Bashir N.", "venue": "IEEE Transactions on Intelligent Transportation Systems", "volume": "24", "pages": "10537-10552", "type": "Article", "language": null, "abstract": null, "keywords": [], "cited_by_openalex": 0, "cited_by_scopus": "24", "eid": "2-s2.0-85162663920", "pii": null, "open_access_url": null, "sources": [ { "db": "scopus", "stream": "UAV", "query_id": "UAV-2" } ], "streams": [ "UAV" ], "relevance_signals": [ "UAV_NO_CTX" ], "auto_exclude_reason": "EC-4-topic", "screening_status": "auto_excluded", "screened_by": "auto-v1.0.0" }, { "id": "doi:10.1287/trsc.2023.0003", "doi": "10.1287/trsc.2023.0003", "title": "The Orienteering Problem with Drones", "year": 2023, "authors": [ "Nicola Morandi", "Roel Leus", "Hande Yaman" ], "first_author": "Nicola Morandi", "venue": "Transportation Science", "volume": "58", "pages": "240-256", "type": "article", "language": "en", "abstract": "We extend the classical problem setting of the orienteering problem (OP) to incorporate multiple drones that cooperate with a truck to visit a subset of the input nodes. We call this problem the OP with multiple drones (OP-mD). Drones have a limited battery endurance, and thus, they can either move together with the truck at no energy cost for the battery or be launched by the truck onto short flights that must start and end at different customer locations. A drone serves exactly one customer per flight. Moreover, the truck and the drones must wait for each other at the landing locations. A customer prize can be collected at most once, either upon visiting it by the truck or upon serving it by a drone. Similarly to the OP, we maximize the total collected prize under the condition that the truck and the drones return to the depot within a given amount of time. We provide a mixed-integer linear programming formulation for the OP-mD and devise a tailored branch-and-cut algorithm based on a novel decomposition of the problem. We solve instances of the OP-mD with up to 50 nodes within one hour of CPU time with a standard computational setup. Finally, we adapt our framework to solve closely related problems in the literature and compare the resulting computational performance with that of previous studies.", "keywords": [ "Drone", "Truck", "Orienteering", "Computer science", "Operations research", "Mathematical optimization", "Engineering", "Mathematics", "Automotive engineering" ], "cited_by_openalex": 26, "cited_by_scopus": "23", "eid": "2-s2.0-85185008717", "pii": null, "open_access_url": "https://research.tilburguniversity.edu/en/publications/593f31f0-7b7b-4069-84ca-857f53b1b72c", "sources": [ { "db": "openalex", "stream": "TRUCK", "query_id": "TRUCK-3" }, { "db": "scopus", "stream": "TRUCK", "query_id": "TRUCK-3" } ], "streams": [ "TRUCK" ], "relevance_signals": [ "UAV_NO_CTX", "TRUCK_NO_CTX" ], "auto_exclude_reason": "EC-4-topic", "screening_status": "auto_excluded", "screened_by": "auto-v1.0.0" }, { "id": "doi:10.1109/tte.2023.3305022", "doi": "10.1109/tte.2023.3305022", "title": "Wireless Electrification System for Photovoltaic Powered Autonomous Drone Charging", "year": 2023, "authors": [ "Prithvi Krishna Chittoor", "Bharatiraja Chokkalingam" ], "first_author": "Prithvi Krishna Chittoor", "venue": "IEEE Transactions on Transportation Electrification", "volume": "10", "pages": "3002-3011", "type": "article", "language": "en", "abstract": "The future is moving toward fully autonomous drone transportation-delivery systems. However, handling the charging of a large number of drones is still a pivotal problem in the drone charging infrastructure. The wired charging or battery-swapping method requires a large number of people or machines moving around the pad, creating obstructions for drones during landing and takeoff. In this article, a novel Building Integrated Photovoltaic (BIPV) structure is developed. The proposed system concentrates on wirelessly charging drones on the rooftop of the building and utilizing the wall space for electrification. However, the BIPV panels are subjected to shading effects from upper panels, reduced solar irradiations due to panel inclination, and the effect of temperature from the wall surface reflected solar irradiations. In the proposed experiment, four BIPV panel placements are compared for generating maximum output for the charging station. The proposed system transferred 120 W wirelessly with 88.6% power transfer efficiency at 10 mm vertical displacement. The BIPV concept has the potential to create an autonomous wireless charging environment for multiple drones for high-rise buildings with limited roof area. Furthermore, the article presents an economic analysis for cost-saving and reducing CO2emissions.", "keywords": [ "Drone", "Building-integrated photovoltaics", "Photovoltaic system", "Electrification", "Roof", "Wireless", "Photovoltaics", "Electrical engineering", "Automotive engineering", "Computer science", "Engineering", "Telecommunications" ], "cited_by_openalex": 20, "cited_by_scopus": "23", "eid": "2-s2.0-85168281542", "pii": null, "open_access_url": "https://doi.org/10.1109/tte.2023.3305022", "sources": [ { "db": "openalex", "stream": "UAV", "query_id": "UAV-3" }, { "db": "scopus", "stream": "UAV", "query_id": "UAV-3" } ], "streams": [ "UAV" ], "relevance_signals": [ "UAV_NO_CTX" ], "auto_exclude_reason": "EC-4-topic", "screening_status": "auto_excluded", "screened_by": "auto-v1.0.0" }, { "id": "doi:10.1016/j.rtbm.2022.100943", "doi": "10.1016/j.rtbm.2022.100943", "title": "Optimizing the location selection of urban consolidation centers with sustainability considerations in the city of Bordeaux", "year": 2023, "authors": [ "Dupas R." ], "first_author": "Dupas R.", "venue": "Research in Transportation Business and Management", "volume": "47", "pages": null, "type": "Article", "language": null, "abstract": null, "keywords": [], "cited_by_openalex": 0, "cited_by_scopus": "23", "eid": "2-s2.0-85146448372", "pii": "S221053952200164X", "open_access_url": null, "sources": [ { "db": "scopus", "stream": "TRUCK", "query_id": "TRUCK-1" }, { "db": "scopus", "stream": "TRUCK", "query_id": "TRUCK-3" } ], "streams": [ "TRUCK" ], "relevance_signals": [ "NO_TECHNOLOGY_MATCH" ], "auto_exclude_reason": "EC-4-topic", "screening_status": "auto_excluded", "screened_by": "auto-v1.0.0" }, { "id": "doi:10.1016/j.solener.2023.01.056", "doi": "10.1016/j.solener.2023.01.056", "title": "Building integrated photovoltaic powered wireless drone charging system", "year": 2023, "authors": [ "Chittoor P.K." ], "first_author": "Chittoor P.K.", "venue": "Solar Energy", "volume": "252", "pages": "163-175", "type": "Article", "language": null, "abstract": null, "keywords": [], "cited_by_openalex": 0, "cited_by_scopus": "23", "eid": "2-s2.0-85147582042", "pii": "S0038092X23000646", "open_access_url": null, "sources": [ { "db": "scopus", "stream": "UAV", "query_id": "UAV-3" } ], "streams": [ "UAV" ], "relevance_signals": [ "UAV_NO_CTX" ], "auto_exclude_reason": "EC-4-topic", "screening_status": "auto_excluded", "screened_by": "auto-v1.0.0" }, { "id": "doi:10.1016/j.eswa.2023.121150", "doi": "10.1016/j.eswa.2023.121150", "title": "Two-echelon vehicle routing problem with direct deliveries and access time windows", "year": 2023, "authors": [ "Saiqi Zhou", "Dezhi Zhang", "Bin Ji", "Shuangyan Li" ], "first_author": "Saiqi Zhou", "venue": "Expert Systems with Applications", "volume": "244", "pages": null, "type": "article", "language": "en", "abstract": null, "keywords": [ "Truck", "Vehicle routing problem", "Computer science", "Routing (electronic design automation)", "Integer programming", "Linear programming", "Operations research", "Transport engineering", "Computer network", "Automotive engineering", "Engineering", "Algorithm" ], "cited_by_openalex": 22, "cited_by_scopus": "22", "eid": "2-s2.0-85180558467", "pii": "S0957417423016524", "open_access_url": "https://doi.org/10.1016/j.eswa.2023.121150", "sources": [ { "db": "openalex", "stream": "TRUCK", "query_id": "TRUCK-1" }, { "db": "openalex", "stream": "TRUCK", "query_id": "TRUCK-2" }, { "db": "scopus", "stream": "TRUCK", "query_id": "TRUCK-1" }, { "db": "scopus", "stream": "TRUCK", "query_id": "TRUCK-2" } ], "streams": [ "TRUCK" ], "relevance_signals": [ "TRUCK_NO_CTX" ], "auto_exclude_reason": "EC-4-topic", "screening_status": "auto_excluded", "screened_by": "auto-v1.0.0" }, { "id": "doi:10.1016/j.biombioe.2023.106884", "doi": "10.1016/j.biombioe.2023.106884", "title": "Enhancement of quality and quantity of woody biomass produced in forests using machine learning algorithms", "year": 2023, "authors": [ "Wei Peng", "Omid Karimi Sadaghiani" ], "first_author": "Wei Peng", "venue": "Biomass and Bioenergy", "volume": "175", "pages": null, "type": "article", "language": "en", "abstract": "Forest is considered a significant source of woody biomass production . Sustainable production of wood, lower emittance of CO2 from burning, and lower amount of sulfur and heavy metals are the advantages of wood rather than fossil fuels . The quality and quantity of woody biomass production are a function of some operations including genetic modifications, high-quality forestry , evaluation, monitoring, storage, and transportation. Due to surveying numerous related works, it was found that there is a considerable reviewing gap in analyzing and collecting the applications of Machine Learning in the quality and quantity of woody biomass. To fill this gap in the current work, the above-mentioned operations are explained followed by the applications of Machine Learning algorithms. Conclusively, Machine Learning and Deep Learning can be employed in estimating main effective factors on trees growth , classification of seeds, trees, and regions, as well as providing decision-making tools for farmers or governors, evaluation of biomass, understanding the relation between the woody bimass internal structure and bio-fuel production, the ultimate and proximate analyses, prediction of wood contents and dimensions, determination of the proportion of mixed woody materials, monitoring for early disease identification and classification, classifying trees diseases, estimating evapotranspiration , collecting information about forest regions and its quality, nitrogen concentration in trees, choosing viable storage sites for storage depots and improving the solution, classifying different filling levels in silage, estimating acetic acid synthesis and aerobic reactions in silage, determining crop quantity in silo, estimating the methane production, and monitoring and predicting water content, quality and quantity of stored biomass, forecasting the demand, path way and on-time performance predicting, truck traffic predicting, and behavioral analysis and facility planning.", "keywords": [ "Biomass (ecology)", "Environmental science", "Agricultural engineering", "Silage", "Bioenergy", "Production (economics)", "Quality (philosophy)", "Machine learning", "Computer science", "Agronomy", "Engineering", "Waste management" ], "cited_by_openalex": 19, "cited_by_scopus": "22", "eid": "2-s2.0-85163027100", "pii": "S0961953423001824", "open_access_url": "https://doi.org/10.1016/j.biombioe.2023.106884", "sources": [ { "db": "openalex", "stream": "TRUCK", "query_id": "TRUCK-3" }, { "db": "scopus", "stream": "TRUCK", "query_id": "TRUCK-3" } ], "streams": [ "TRUCK" ], "relevance_signals": [ "TRUCK_NO_CTX" ], "auto_exclude_reason": "EC-4-topic", "screening_status": "auto_excluded", "screened_by": "auto-v1.0.0" }, { "id": "doi:10.1038/s41598-023-45371-1", "doi": "10.1038/s41598-023-45371-1", "title": "Robots at your doorstep: acceptance of near-future technologies for automated parcel delivery", "year": 2023, "authors": [ "Maher Said", "Spencer Aeschliman", "Amanda Stathopoulos" ], "first_author": "Maher Said", "venue": "Scientific Reports", "volume": "13", "pages": null, "type": "article", "language": "en", "abstract": "The logistics and delivery industry is undergoing a technology-driven transformation, with robotics, drones, and autonomous vehicles expected to play a key role in meeting the growing challenges of last-mile delivery. To understand the public acceptability of automated parcel delivery options, this U.S. study explores customer preferences for four innovations: autonomous vehicles, aerial drones, sidewalk robots, and bipedal robots. We use an Integrated Nested Choice and Correlated Latent Variable (INCLV) model to reveal substitution effects among automated delivery modes in a sample of U.S. respondents. The study finds that acceptance of automated delivery modes is strongly tied to shipment price and time, underscoring the importance of careful planning and incentives to maximize the trialability of innovative logistics options. Older individuals and those with concerns about package handling exhibit a lower preference for automated modes, while individuals with higher education and technology affinity exhibit greater acceptance. These findings provide valuable insights for logistics companies and retailers looking to introduce automation technologies in their last-mile delivery operations, emphasizing the need to tailor marketing and communication strategies to meet customer preferences. Additionally, providing information about appropriate package handling by automated technologies may alleviate concerns and increase the acceptance of these modes among all customer groups.", "keywords": [ "Automation", "Drone", "Robot", "Computer science", "Robotics", "Delivery Performance", "Emerging technologies", "Business", "Preference", "Marketing", "Process management", "Engineering management" ], "cited_by_openalex": 23, "cited_by_scopus": "22", "eid": "2-s2.0-85175172957", "pii": null, "open_access_url": "https://www.nature.com/articles/s41598-023-45371-1.pdf", "sources": [ { "db": "openalex", "stream": "UAV", "query_id": "UAV-1" }, { "db": "scopus", "stream": "UAV", "query_id": "UAV-1" } ], "streams": [ "UAV" ], "relevance_signals": [ "UAV" ], "auto_exclude_reason": null, "screening_status": "pending_human_screening", "screened_by": "auto-v1.0.0" }, { "id": "doi:10.1007/s11067-023-09607-x", "doi": "10.1007/s11067-023-09607-x", "title": "Battery Electric Vehicle Traveling Salesman Problem with Drone", "year": 2023, "authors": [ "Tengkuo Zhu", "Stephen D. Boyles", "Avinash Unnikrishnan" ], "first_author": "Tengkuo Zhu", "venue": "Networks and Spatial Economics", "volume": "24", "pages": "49-97", "type": "article", "language": "en", "abstract": null, "keywords": [ "Drone", "Travelling salesman problem", "Battery (electricity)", "Electric vehicle", "Computer science", "Engineering", "Automotive engineering", "Aeronautics", "Aerospace engineering", "Mathematical optimization", "Mathematics", "Physics" ], "cited_by_openalex": 25, "cited_by_scopus": "22", "eid": "2-s2.0-85178891275", "pii": null, "open_access_url": "https://doi.org/10.1007/s11067-023-09607-x", "sources": [ { "db": "openalex", "stream": "UAV", "query_id": "UAV-3" }, { "db": "scopus", "stream": "UAV", "query_id": "UAV-3" } ], "streams": [ "UAV" ], "relevance_signals": [ "UAV_NO_CTX" ], "auto_exclude_reason": "EC-4-topic", "screening_status": "auto_excluded", "screened_by": "auto-v1.0.0" }, { "id": "doi:10.3390/app13052805", "doi": "10.3390/app13052805", "title": "Developing and Field Testing Path Planning for Robotic Aquaculture Water Quality Monitoring", "year": 2023, "authors": [ "Davis A." ], "first_author": "Davis A.", "venue": "Applied Sciences Switzerland", "volume": "13", "pages": null, "type": "Article", "language": null, "abstract": null, "keywords": [], "cited_by_openalex": 0, "cited_by_scopus": "22", "eid": "2-s2.0-85149996905", "pii": null, "open_access_url": null, "sources": [ { "db": "scopus", "stream": "UAV", "query_id": "UAV-2" } ], "streams": [ "UAV" ], "relevance_signals": [ "NO_TECHNOLOGY_MATCH" ], "auto_exclude_reason": "EC-4-topic", "screening_status": "auto_excluded", "screened_by": "auto-v1.0.0" }, { "id": "doi:10.1080/23302674.2023.2191804", "doi": "10.1080/23302674.2023.2191804", "title": "Routing a mixed fleet of conventional and electric vehicles for urban delivery problems: considering different charging technologies and battery swapping", "year": 2023, "authors": [ "Afsane Amiri", "Hossein Zolfagharinia", "Saman Hassanzadeh Amin" ], "first_author": "Afsane Amiri", "venue": "International Journal of Systems Science Operations & Logistics", "volume": "10", "pages": null, "type": "article", "language": "en", "abstract": "We present a vehicle routing problem with load capacity and time windows for a fleet of electric vehicles (EVs) and internal combustion vehicles (ICVs). Different charging technologies, including Level 1, 2, and 3 chargers and swapping batteries, are considered in this research. Given the location of the depot, the existing customers, and the set of charging stations, this problem aims to minimise the overall cost of constructing the routes over the vertices that need to be visited by either an ICV or EV. We develop a mixed-integer linear programming (MILP) model for this problem, and we solve small samples using a CPLEX solver. In addition, we develop two metaheuristic solution approaches by combining Adaptive Large Neighbourhood Search (ALNS) with Simulated Annealing (SA) and Tabu Search (TS). Using a set of locations from Scarborough, Ontario, Canada, we investigate the delivery routing problem with a fleet of ICVs and EVs. By solving the problem for different scenarios, we observed that EVs often require partial recharging and faster chargers (Level 3) when traveling in the city.", "keywords": [ "Simulated annealing", "Tabu search", "Vehicle routing problem", "Solver", "Computer science", "Metaheuristic", "Integer programming", "Suite", "Mathematical optimization", "Neighbourhood (mathematics)", "Routing (electronic design automation)", "Battery (electricity)" ], "cited_by_openalex": 15, "cited_by_scopus": "21", "eid": "2-s2.0-85152361609", "pii": null, "open_access_url": "https://doi.org/10.1080/23302674.2023.2191804", "sources": [ { "db": "openalex", "stream": "TRUCK", "query_id": "TRUCK-2" }, { "db": "scopus", "stream": "TRUCK", "query_id": "TRUCK-2" } ], "streams": [ "TRUCK" ], "relevance_signals": [ "NO_TECHNOLOGY_MATCH" ], "auto_exclude_reason": "EC-4-topic", "screening_status": "auto_excluded", "screened_by": "auto-v1.0.0" }, { "id": "doi:10.1016/j.tre.2023.103266", "doi": "10.1016/j.tre.2023.103266", "title": "Integrated ground vehicle and drone routing with simultaneous surveillance coverage for evading intentional disruption", "year": 2023, "authors": [ "Fatemeh Zandieh", "Seyed Farid Ghannadpour", "Mohammad Mahdavi Mazdeh" ], "first_author": "Fatemeh Zandieh", "venue": "Transportation Research Part E Logistics and Transportation Review", "volume": "178", "pages": null, "type": "article", "language": "en", "abstract": null, "keywords": [ "Drone", "Routing (electronic design automation)", "Simulated annealing", "Computer science", "Process (computing)", "Vehicle routing problem", "Computer security", "Operations research", "Transport engineering", "Engineering", "Computer network", "Machine learning" ], "cited_by_openalex": 19, "cited_by_scopus": "21", "eid": "2-s2.0-85169824254", "pii": "S1366554523002545", "open_access_url": "https://doi.org/10.1016/j.tre.2023.103266", "sources": [ { "db": "openalex", "stream": "UAV", "query_id": "UAV-2" }, { "db": "scopus", "stream": "UAV", "query_id": "UAV-2" } ], "streams": [ "UAV" ], "relevance_signals": [ "UAV_NO_CTX" ], "auto_exclude_reason": "EC-4-topic", "screening_status": "auto_excluded", "screened_by": "auto-v1.0.0" }, { "id": "doi:10.1007/s10696-023-09507-9", "doi": "10.1007/s10696-023-09507-9", "title": "Improving access to emergency medical services using advanced air mobility vehicles", "year": 2023, "authors": [ "Julián Alberto Espejo-Díaz", "Edgar H. Alfonso-Lizarazo", "Jairo R. Montoya‐Torres" ], "first_author": "Julián Alberto Espejo-Díaz", "venue": "Flexible Services and Manufacturing Journal", "volume": null, "pages": null, "type": "article", "language": "en", "abstract": "Abstract The latest advancements in electric vertical take-off and landing (eVTOL) vehicles indicate that soon this technology will be available in multiple fields. One potential application of this new technology is in emergency medical services. These vehicles will be able to reach emergency sites faster than ground ambulances at lower costs than traditional helicopters. So in the following years, eVTOL vehicles could be used for aeromedical transportation. One crucial decision in implementing such a technology in emergency medical services is the location of their take-off and landing areas (vertiports). In this work, we propose a methodology for locating the vertiports in a healthcare network to improve emergency medical services coverage in hard-to-reach zones. We studied the system performance locating the vertiports for emergency services in existing healthcare facilities or outside them as auxiliary bases. In addition, we evaluated the performance of different operational scenarios regarding the use of emergency eVTOL. To do so, we used data analytics techniques (i.e., clustering algorithms) in conjunction with facility location models. The approach is tested using data from the Auvergne-Rhône-Alpes region in France. Results showed that locating the vertiports in existing healthcare facilities is the best choice in terms of coverage of hard-to-reach zones. However, on average, the response times increased compared to locating the vertiports as auxiliary bases outside the healthcare facilities. Besides, the results indicated that implementing eVTOL vehicles for aeromedical transportation can provide better access to emergency medical services in hard-to-reach zones. Still, the autonomy of such vehicles plays an essential role in their applicability.", "keywords": [ "Emergency medical services", "Computer science", "Work (physics)", "Analytics", "Health care", "Transport engineering", "Cluster analysis", "Emergency vehicle", "Operations research", "Medical emergency", "Telecommunications", "Data science" ], "cited_by_openalex": 21, "cited_by_scopus": 0, "eid": null, "pii": null, "open_access_url": "https://link.springer.com/content/pdf/10.1007/s10696-023-09507-9.pdf", "sources": [ { "db": "openalex", "stream": "UAV", "query_id": "UAV-3" } ], "streams": [ "UAV" ], "relevance_signals": [ "UAV_NO_CTX" ], "auto_exclude_reason": "EC-4-topic", "screening_status": "auto_excluded", "screened_by": "auto-v1.0.0" }, { "id": "doi:10.1109/tvt.2022.3232799", "doi": "10.1109/tvt.2022.3232799", "title": "Multi-Criteria Coordinated Electric Vehicle-Drone Hybrid Delivery Service Planning", "year": 2023, "authors": [ "Cho Y.H." ], "first_author": "Cho Y.H.", "venue": "IEEE Transactions on Vehicular Technology", "volume": "72", "pages": "5892-5905", "type": "Article", "language": null, "abstract": null, "keywords": [], "cited_by_openalex": 0, "cited_by_scopus": "21", "eid": "2-s2.0-85146233843", "pii": null, "open_access_url": null, "sources": [ { "db": "scopus", "stream": "UAV", "query_id": "UAV-2" } ], "streams": [ "UAV" ], "relevance_signals": [ "UAV_NO_CTX" ], "auto_exclude_reason": "EC-4-topic", "screening_status": "auto_excluded", "screened_by": "auto-v1.0.0" }, { "id": "doi:10.1002/net.22190", "doi": "10.1002/net.22190", "title": "Last‐mile delivery with drone and lockers", "year": 2023, "authors": [ "Marco Antonio Boschetti", "Stefano Novellani" ], "first_author": "Marco Antonio Boschetti", "venue": "Networks", "volume": "83", "pages": "213-235", "type": "article", "language": "en", "abstract": "Abstract In this article, we define a new routing problem that arises in the last‐mile delivery of parcels, in which customers can be served either directly at home by a capacitated truck, or possibly with a drone carried on the truck, or in a self‐service mode using one of the available lockers. We investigate four different formulations, and for one of them, we propose a branch‐and‐cut approach. We also discuss some possible variants of the original problem. In the computational experiments, we analyze and compare the performance of the four formulations for the problem and its variants, and we provide some useful managerial insights.", "keywords": [ "Drone", "Truck", "Computer science", "Last mile (transportation)", "Vehicle routing problem", "Routing (electronic design automation)", "Service (business)", "Operations research", "Mile", "Computer network", "Mathematics", "Business" ], "cited_by_openalex": 21, "cited_by_scopus": "20", "eid": "2-s2.0-85173551719", "pii": null, "open_access_url": "https://cris.unibo.it/bitstream/11585/945394/4/TSP_with_Drone_and_Lockers_Final_nonetwroks.pdf", "sources": [ { "db": "openalex", "stream": "TRUCK", "query_id": "TRUCK-1" }, { "db": "openalex", "stream": "UAV", "query_id": "UAV-1" }, { "db": "openalex", "stream": "UAV", "query_id": "UAV-2" }, { "db": "scopus", "stream": "TRUCK", "query_id": "TRUCK-1" }, { "db": "scopus", "stream": "UAV", "query_id": "UAV-1" }, { "db": "scopus", "stream": "UAV", "query_id": "UAV-2" } ], "streams": [ "TRUCK", "UAV" ], "relevance_signals": [ "UAV", "TRUCK" ], "auto_exclude_reason": null, "screening_status": "pending_human_screening", "screened_by": "auto-v1.0.0" }, { "id": "doi:10.1016/j.trpro.2023.02.253", "doi": "10.1016/j.trpro.2023.02.253", "title": "Analysis of Service Efficiency of Parcel Locker in Last-mile Delivery: A Case Study in Norway", "year": 2023, "authors": [ "Bo Ya Dong", "Inger Beate Hovi", "Daniel Ruben Pinchasik" ], "first_author": "Bo Ya Dong", "venue": "Transportation research procedia", "volume": "69", "pages": "918-925", "type": "article", "language": "en", "abstract": "The rapid growth of e-commerce is challenging last-mile parcel delivery services. Traditionally, parcel delivery is done using vans which deliver individual parcels to customers’ home (“home deliveries”) or by trucks to collection points, often situated in grocery stores. An alternative last-mile delivery solution is to deliver parcels to lockers where customers can pick them up. “Home deliveries” are known to be an expensive part of the supply chain, and cost and service efficiency vary with (uncertainty about) customers being present at home. Stores have their opening times, while parcel lockers can provide 24/7 access and also have higher potential to achieve a more economic and environmental sustainable solution, compared to home deliveries. This paper evaluates the cost and emissions implications of alternative solutions for last-mile delivery. A case study proposes and analyzes alternative expansion plans for a parcel locker distribution network in Norway. Results indicate that using parcel lockers is beneficial and the usage of more parcel locker delivery can improve service efficiency in last-mile delivery as it creates both the economic and environmental savings compared to home deliveries. An extended parcel locker network seems to be able to provide the optimal future delivery model that can operate more cost-efficiently and more sustainably than the delivery model under the current situation.", "keywords": [ "Last mile (transportation)", "Truck", "Food delivery", "Service (business)", "Mile", "Sustainability", "Service delivery framework", "Transport engineering", "Business", "Operations management", "Engineering", "Marketing" ], "cited_by_openalex": 20, "cited_by_scopus": "20", "eid": "2-s2.0-85159129517", "pii": "S2352146523002661", "open_access_url": "https://doi.org/10.1016/j.trpro.2023.02.253", "sources": [ { "db": "openalex", "stream": "TRUCK", "query_id": "TRUCK-1" }, { "db": "scopus", "stream": "TRUCK", "query_id": "TRUCK-1" } ], "streams": [ "TRUCK" ], "relevance_signals": [ "TRUCK" ], "auto_exclude_reason": null, "screening_status": "pending_human_screening", "screened_by": "auto-v1.0.0" }, { "id": "doi:10.1111/jbl.12330", "doi": "10.1111/jbl.12330", "title": "A case and framework for expanding the use of model‐free evidence", "year": 2023, "authors": [ "Beth Davis‐Sramek", "Alex Scott", "Robert Glenn Richey Jr" ], "first_author": "Beth Davis‐Sramek", "venue": "Journal of Business Logistics", "volume": null, "pages": null, "type": "article", "language": "en", "abstract": "The business logistics and supply chain management (L&SCM) discipline has a history of doctoral education that emphasizes the use of empirical research to make contributions to theory and practice. This training is evident in manuscript submissions and published research. As such, the structure of a manuscript has \"generally expected\" components. Authors are expected to: (1) introduce a relevant research question that addresses a specific logistics or supply chain phenomenon; (2) theorize about relationships between constructs that are presented within a nomological network; (3) offer extensive information about how the constructs are operationalized at the empirical level (i.e. variables); and (4) detail the statistical model used to test the hypothesized relationships and evaluate whether these relationships are meaningful or not.1 The application of statistical modeling is a fundamental and necessary component of empirically focused manuscripts in demonstrating the rigor and credibility of the findings. However, we suggest that \"model-free evidence\"2 is underutilized in the discipline. We write this first editorial of 2023 to support, when appropriate, model-free evidence as an additional \"generally expected\" manuscript component. We have asked our colleague Alex Scott to join us as a coauthor because his publications serve as an exemplar in providing context and explanation for our call to incorporate this analysis into manuscripts. An overreliance on complex statistical models and output (i.e. model-based analysis) has potential pitfalls. For example, statistical models require assumptions to be valid, and these assumptions can range from the relatively simple (e.g. the constant variance assumption) to the very complicated (e.g. overidentification in the Arellano–Bond estimator) to the untestable (e.g. parallel trends in difference-in-differences after treatment3). When single-point estimates or regression coefficients from model output are reported in a manuscript, it can be difficult for editors, reviewers, and fellow colleagues to understand the nature of the relationship between variables beyond those estimates, which are conditional on the modeling assumptions. Furthermore, the inclusion of different control variables can flip the signs and change the interpretation of statistical results. While critical for addressing many research questions, output from a statistical model can (and should) always be questioned by the reader, and it often does not fully illustrate the relationship between variables. In the following pages, we offer our rationale for increasing the use of model-free evidence in conjunction with model-based analysis. We believe that adopting its use more fully can improve the credibility of our research with respect to our academic peers and external stakeholders, which is an important goal of the Journal of Business Logistics (JBL) (Richey & Davis-Sramek, 2022a). Although we do not intend for this to be a \"how-to\" guide, we define model-free evidence and explain our rationale for incorporating it into manuscripts. We give additional context by describing the process that we used in a recent manuscript that incorporated model-free evidence (Scott & Davis-Sramek, 2022). Furthermore, we provide a simple framework with an accompanying example to advance the basic principles for producing and communicating model-free evidence in a manuscript. We conclude by emphasizing how it can benefit researchers and more importantly, the consumers of our research. In the final section of the paper, we introduce the articles that make up the first issue of 2023. We define model-free evidence as an empirical analysis used to identify correlations between variables or patterns in the dataset, which allows for a descriptive representation of the data. This evidence is typically presented as either a visualization or a tabulation to illustrate relationships between variables across multiple dimensions. Unlike point estimates from a statistical model that often do not demonstrate the variation in a dataset very well, summary tables and visualizations can clearly and succinctly show the underlying variation, identify potential outliers, and differentiate observed or latent categories in the data. This empirical analysis has also been described as descriptive data, summary data, and data visualizations, although we would like to see the field adopt the term model-free evidence to avoid confusion. Regardless of the label, the use of model-free evidence has long been considered valuable for research (Chatfield, 1985; Tukey, 1977) and continues to be emphasized and utilized today (e.g. Acimovic et al., 2022; Alhauli et al., 2022; Mahoney, 2022; Scott & Nyaga, 2019). A classic example of the power of model-free evidence comes from the work of Florence Nightingale. During her work as a nurse during the Crimean War in the 1850s, Nightingale observed that the \"disgraceful state\" of the sanitary conditions in military hospitals caused thousands of unnecessary deaths of both soldiers and staff (Kopf, 1916). She advocated for the systematic collection of better data (admissions, deaths, and causes of death) and presented it in innovative and influential ways (Magnello, 2012). Her relatively simple representations saved countless lives because the disturbing patterns that emerged from the data were both clear and credible for those who had the authority to address the problems. Of course, L&SCM academic research calls for the combination of model-free evidence and rigorous statistical analysis. Once the former illustrates that interesting and potentially meaningful correlations between variables exist, the latter is needed to assess the significance and magnitude of the relationships. Statistical models are also necessary to rule out alternative explanations, control for potential confounding factors, and test for significance under certain conditions. The combination can be particularly persuasiv", "keywords": [ "Operationalization", "Credibility", "Context (archaeology)", "Computer science", "Supply chain", "Variance (accounting)", "Empirical research", "Supply chain management", "Empirical evidence", "Statistical hypothesis testing", "Data science", "Management science" ], "cited_by_openalex": 20, "cited_by_scopus": 0, "eid": null, "pii": null, "open_access_url": "https://onlinelibrary.wiley.com/doi/pdfdirect/10.1111/jbl.12330", "sources": [ { "db": "openalex", "stream": "TRUCK", "query_id": "TRUCK-1" } ], "streams": [ "TRUCK" ], "relevance_signals": [ "NO_TECHNOLOGY_MATCH" ], "auto_exclude_reason": "EC-4-topic", "screening_status": "auto_excluded", "screened_by": "auto-v1.0.0" }, { "id": "doi:10.1108/ijlm-11-2021-0515", "doi": "10.1108/ijlm-11-2021-0515", "title": "An optimization model for collaborative logistics among carriers in vehicle routing problems with cross-docking", "year": 2023, "authors": [ "Vahid Ghomi", "David Marius Gligor", "Sina Shokoohyar", "Reza Alikhani", "Farnaz Ghazi Nezami" ], "first_author": "Vahid Ghomi", "venue": "The International Journal of Logistics Management", "volume": "34", "pages": "1700-1735", "type": "article", "language": "en", "abstract": "Purpose Collaborative Logistics (CL) and merging operations are crucial strategies for reducing costs and improving service in transportation companies. This study proposes a model for optimizing efficiency in supply chain networks through inbound and outbound Collaborative Logistics implementation among the carriers in centralized, coordinated networks with cross-docking. Design/methodology/approach A mixed-integer non-linear programming model is developed to determine the optimal truck-goods assignment while gaining economies of scale through mixing multiple less-than-truckload (LTL) products with different weight-to-volume ratios. Unlike the previous studies that have considered Collaborative Logistics from the cost and profit-sharing perspective, the proposed model seeks to determine an appropriate form of Collaborative Logistics in the VRP. Findings This article shows that in a three-echelon supply chain consisting of a set of suppliers, a set of customers and a cross-docking terminal, partial collaboration among the inbound carriers and outbound carriers outperforms no/complete collaboration. This approach enhances the supply chain efficiency by minimizing the total transportation costs, the total transportation miles and the total number of trucks and maximizing fleet utilization. While addressing the four points, the role of collaborative logistics among the carriers was discussed. In a three-echelon SC consisting of a set of suppliers, a set of customers and a cross-docking terminal, partial collaboration among the inbound carriers and outbound carriers outperforms no/complete collaboration. Using a combination of experimental analysis and optimization process, it was recommended that managers be cautious that too much (full or complete) or no collaboration can result in SC performance deterioration. Originality/value The suggested approach enhances the supply chain efficiency by minimizing the total transportation costs, the total transportation miles and the total number of trucks and maximizing fleet utilization. While addressing the four points, the role of Collaborative Logistics among the carriers was discussed.", "keywords": [ "Truck", "Supply chain", "Vehicle routing problem", "Computer science", "Operations research", "Profit (economics)", "Integer programming", "Supply chain management", "Transport engineering", "Business", "Routing (electronic design automation)", "Computer network" ], "cited_by_openalex": 21, "cited_by_scopus": "20", "eid": "2-s2.0-85146389907", "pii": null, "open_access_url": "https://scholarsphere.psu.edu/resources/f0fea0b7-4d6e-478f-bb40-eb2e3d63cd21/downloads/34426", "sources": [ { "db": "openalex", "stream": "TRUCK", "query_id": "TRUCK-3" }, { "db": "scopus", "stream": "TRUCK", "query_id": "TRUCK-3" } ], "streams": [ "TRUCK" ], "relevance_signals": [ "TRUCK_NO_CTX" ], "auto_exclude_reason": "EC-4-topic", "screening_status": "auto_excluded", "screened_by": "auto-v1.0.0" }, { "id": "doi:10.1016/j.ijdrr.2023.104027", "doi": "10.1016/j.ijdrr.2023.104027", "title": "A multi-agency coordination resource allocation and routing decision-making problem: A coordinated truck-and-drone DSS for improved wildfire detection coverage", "year": 2023, "authors": [ "Maryam Momeni", "Hamed Soleimani", "Shahrooz Shahparvari", "Behrouz Afshar-Nadjafi" ], "first_author": "Maryam Momeni", "venue": "International Journal of Disaster Risk Reduction", "volume": "97", "pages": null, "type": "article", "language": "en", "abstract": null, "keywords": [ "Regret", "Drone", "Truck", "Column generation", "Operations research", "Computer science", "Decision support system", "Mathematical optimization", "Engineering", "Automotive engineering" ], "cited_by_openalex": 21, "cited_by_scopus": "20", "eid": "2-s2.0-85173221191", "pii": "S2212420923005071", "open_access_url": "https://figshare.com/articles/journal_contribution/A_multi-agency_coordination_resource_allocation_and_routing_decision-making_problem_A_coordinated_truck-and-drone_DSS_for_improved_wildfire_detection_coverage/27578328", "sources": [ { "db": "openalex", "stream": "TRUCK", "query_id": "TRUCK-3" }, { "db": "scopus", "stream": "TRUCK", "query_id": "TRUCK-3" }, { "db": "scopus", "stream": "UAV", "query_id": "UAV-2" } ], "streams": [ "TRUCK", "UAV" ], "relevance_signals": [ "UAV_NO_CTX", "TRUCK_NO_CTX" ], "auto_exclude_reason": "EC-4-topic", "screening_status": "auto_excluded", "screened_by": "auto-v1.0.0" }, { "id": "doi:10.1016/j.jnca.2023.103601", "doi": "10.1016/j.jnca.2023.103601", "title": "A matching game-based crowdsourcing framework for last-mile delivery: Ground-vehicles and Unmanned-Aerial Vehicles", "year": 2023, "authors": [ "Huda Abualola", "Rabeb Mizouni", "Hadi Otrok", "Shakti Singh", "Hassan Barada" ], "first_author": "Huda Abualola", "venue": "Journal of Network and Computer Applications", "volume": "213", "pages": null, "type": "article", "language": "en", "abstract": null, "keywords": [ "Crowdsourcing", "Computer science", "Task (project management)", "Last mile (transportation)", "Matching (statistics)", "Scheduling (production processes)", "Operations research", "Real-time computing", "Mile", "Operations management", "Engineering", "Systems engineering" ], "cited_by_openalex": 22, "cited_by_scopus": "20", "eid": "2-s2.0-85148324336", "pii": "S1084804523000206", "open_access_url": "https://doi.org/10.1016/j.jnca.2023.103601", "sources": [ { "db": "openalex", "stream": "UAV", "query_id": "UAV-1" }, { "db": "scopus", "stream": "UAV", "query_id": "UAV-1" } ], "streams": [ "UAV" ], "relevance_signals": [ "UAV" ], "auto_exclude_reason": null, "screening_status": "pending_human_screening", "screened_by": "auto-v1.0.0" }, { "id": "doi:10.3390/en16124656", "doi": "10.3390/en16124656", "title": "Sustainability Aspects of Drone-Assisted Last-Mile Delivery Systems—A Discrete Event Simulation Approach", "year": 2023, "authors": [ "Boglárka Eisinger Balassa", "Réka Koteczki", "Bence Lukács", "László Buics" ], "first_author": "Boglárka Eisinger Balassa", "venue": "Energies", "volume": "16", "pages": null, "type": "article", "language": "en", "abstract": "The goal of this article is to examine the advantages and disadvantages of the application of drones in last-mile delivery systems from a sustainability point of view regarding CO2 emissions and energy consumption. As commercial drones are developing rapidly, the application of such tools in the field of last-mile delivery and transportation can offer many opportunities to increase service flexibility, reduce delivery time and decrease CO2 emissions and energy consumption. In this article, a discrete event simulation is applied to examine how the assistance of drones in parcel delivery services can influence the sustainability aspects of such services regarding CO2 emissions and energy consumption in an urban environment. Based on factory parameters, a vehicle-based delivery scenario is compared to a drone-assisted scenario under ideal conditions. According to the results, within the simulation parameters with the assistance of drones, a decrease in CO2 emissions and energy consumption is possible in last-mile delivery services, but more environmental, technological and financial limitations should also be addressed and incorporated to determine whether such a development is worthwhile from a last-mile delivery company’s point of view.", "keywords": [ "Last mile (transportation)", "Drone", "Energy consumption", "Sustainability", "Mile", "Flexibility (engineering)", "Discrete event simulation", "Environmental economics", "Consumption (sociology)", "Transport engineering", "Computer science", "Engineering" ], "cited_by_openalex": 23, "cited_by_scopus": "20", "eid": "2-s2.0-85163885497", "pii": null, "open_access_url": "https://www.mdpi.com/1996-1073/16/12/4656/pdf?version=1686558953", "sources": [ { "db": "openalex", "stream": "UAV", "query_id": "UAV-1" }, { "db": "scopus", "stream": "UAV", "query_id": "UAV-1" } ], "streams": [ "UAV" ], "relevance_signals": [ "UAV" ], "auto_exclude_reason": null, "screening_status": "pending_human_screening", "screened_by": "auto-v1.0.0" }, { "id": "doi:10.1186/s42252-023-00040-4", "doi": "10.1186/s42252-023-00040-4", "title": "Evaluating the sustainability of lightweight drones for delivery: towards a suitable methodology for assessment", "year": 2023, "authors": [ "Sinéad Mitchell", "Juliana Steinbach", "Tomás Flanagan", "Pouyan Ghabezi", "Noel M. Harrison", "Simon O’Reilly", "Stephen Killian", "William G. Finnegan" ], "first_author": "Sinéad Mitchell", "venue": "Functional Composite Materials", "volume": null, "pages": null, "type": "article", "language": "en", "abstract": "Drone technology is widely available and is rapidly becoming a crucial instrument in the functions of businesses and government agencies worldwide. The demand for delivery services is accelerating particularly since the Covid-19 pandemic. Both companies and customers want these services to be efficient, timely, safe, and sustainable, but these are major challenges. Last-mile delivery by lightweight short-range drones has the potential to address these challenges. However, there is a lack of consistency and transparency in assessing and reporting the sustainability of last-mile delivery services and drones. This paper critically reviews published papers on Life Cycle Assessments of drones to date. The study reveals a lack of comprehensive studies, and a need to examine composite and battery manufacturing developments and provides key considerations for future study development.", "keywords": [ "Drone", "Sustainability", "Computer science", "Biology" ], "cited_by_openalex": 20, "cited_by_scopus": 0, "eid": null, "pii": null, "open_access_url": "https://functionalcompositematerials.springeropen.com/counter/pdf/10.1186/s42252-023-00040-4", "sources": [ { "db": "openalex", "stream": "UAV", "query_id": "UAV-1" } ], "streams": [ "UAV" ], "relevance_signals": [ "UAV" ], "auto_exclude_reason": null, "screening_status": "pending_human_screening", "screened_by": "auto-v1.0.0" }, { "id": "doi:10.1177/03611981231176812", "doi": "10.1177/03611981231176812", "title": "Adopting a Multi-Criteria Decision-Making Approach to Identify Barriers to Electrification of Urban Freight in India", "year": 2023, "authors": [ "Aditya Saxena", "Ankit Kumar Yadav" ], "first_author": "Aditya Saxena", "venue": "Transportation Research Record Journal of the Transportation Research Board", "volume": "2678", "pages": "816-827", "type": "article", "language": "en", "abstract": "The economics and social development of cities depend heavily on urban freight. But, despite its obvious benefits, freight transportation has substantial negative externalities. The electrification of urban freight could help mitigate these. However, there exists a paucity of literature on barriers to the adoption of electric freight in the context of developing countries such as India. The present study intends to bridge this gap. It aims to identify the barriers to the adoption of electric freight vehicles (light commercial vehicles) in urban areas by using a fuzzy analytical hierarchy process (FAHP), a multi-criteria decision-making (MCDM) technique. Based on the opinion of 32 experts, it was found that high capital costs, low driving range, and long charging times are the major obstacles to the adoption of electric freight vehicles in India. The results from the present study will assist government officials in identifying bottlenecks and prioritizing strategies for the promotion of electric freight vehicles in India.", "keywords": [ "Electrification", "Transport engineering", "Business", "Multiple-criteria decision analysis", "Context (archaeology)", "Promotion (chess)", "Externality", "Government (linguistics)", "Analytic hierarchy process", "Traffic management", "Environmental economics", "Electricity" ], "cited_by_openalex": 19, "cited_by_scopus": "19", "eid": "2-s2.0-85164208516", "pii": null, "open_access_url": "https://doi.org/10.1177/03611981231176812", "sources": [ { "db": "openalex", "stream": "TRUCK", "query_id": "TRUCK-1" }, { "db": "scopus", "stream": "TRUCK", "query_id": "TRUCK-1" } ], "streams": [ "TRUCK" ], "relevance_signals": [ "TRUCK" ], "auto_exclude_reason": null, "screening_status": "pending_human_screening", "screened_by": "auto-v1.0.0" }, { "id": "doi:10.1007/s10732-023-09520-z", "doi": "10.1007/s10732-023-09520-z", "title": "A hybrid variable neighborhood search heuristic for the sustainable time-dependent truck-drone routing problem with rendezvous locations", "year": 2023, "authors": [ "Ebrahim Teimoury", "Reza Rashid" ], "first_author": "Ebrahim Teimoury", "venue": "Journal of Heuristics", "volume": "30", "pages": "1-41", "type": "article", "language": "en", "abstract": null, "keywords": [ "Drone", "Truck", "Travelling salesman problem", "Rendezvous", "Computer science", "Routing (electronic design automation)", "Heuristic", "Vehicle routing problem", "Variable (mathematics)", "Variable neighborhood search", "Operations research", "Transport engineering" ], "cited_by_openalex": 18, "cited_by_scopus": "19", "eid": "2-s2.0-85176613357", "pii": null, "open_access_url": "https://doi.org/10.1007/s10732-023-09520-z", "sources": [ { "db": "openalex", "stream": "TRUCK", "query_id": "TRUCK-1" }, { "db": "openalex", "stream": "TRUCK", "query_id": "TRUCK-2" }, { "db": "openalex", "stream": "UAV", "query_id": "UAV-1" }, { "db": "openalex", "stream": "UAV", "query_id": "UAV-2" }, { "db": "scopus", "stream": "TRUCK", "query_id": "TRUCK-1" }, { "db": "scopus", "stream": "TRUCK", "query_id": "TRUCK-2" }, { "db": "scopus", "stream": "UAV", "query_id": "UAV-1" }, { "db": "scopus", "stream": "UAV", "query_id": "UAV-2" } ], "streams": [ "TRUCK", "UAV" ], "relevance_signals": [ "UAV_NO_CTX", "TRUCK_NO_CTX" ], "auto_exclude_reason": "EC-4-topic", "screening_status": "auto_excluded", "screened_by": "auto-v1.0.0" }, { "id": "doi:10.7717/peerj-cs.1347", "doi": "10.7717/peerj-cs.1347", "title": "Green city logistics path planning and design based on genetic algorithm", "year": 2023, "authors": [ "Limin Ran", "Shengnan Ran", "Chunmei Meng" ], "first_author": "Limin Ran", "venue": "PeerJ Computer Science", "volume": "9", "pages": null, "type": "article", "language": "en", "abstract": "Effective logistics distribution paths are crucial in enhancing the fundamental competitiveness of an enterprise. This research introduces the genetic algorithm for logistics routing to address pertinent research issues, such as suboptimal scheduling of time-sensitive orders and reverse distribution of goods. It proposes an enhanced scheme integrating the Metropolis criterion. To address the limited local search ability of the genetic algorithm, this study combines the simulated annealing algorithm's powerful local optimization capability with the genetic algorithm, thereby developing a genetic algorithm with the Metropolis criterion. The proposed method preserves the optimal chromosome in each generation population and accepts inferior chromosomes with a certain probability, thereby enhancing the likelihood of finding an optimal local solution and achieving global optimization. A comparative study is conducted with the Ant Colony Optimization, Artificial Bee Colony, and Particle Swarm Optimization algorithms, and empirical findings demonstrate that the proposed genetic algorithm effectively achieves excellent results over these algorithms.", "keywords": [ "Ant colony optimization algorithms", "Simulated annealing", "Computer science", "Mathematical optimization", "Genetic algorithm", "Meta-optimization", "Vehicle routing problem", "Particle swarm optimization", "Chromosome", "Metaheuristic", "Population", "Estimation of distribution algorithm" ], "cited_by_openalex": 15, "cited_by_scopus": "19", "eid": "2-s2.0-85159852454", "pii": null, "open_access_url": "https://doi.org/10.7717/peerj-cs.1347", "sources": [ { "db": "openalex", "stream": "TRUCK", "query_id": "TRUCK-2" }, { "db": "scopus", "stream": "TRUCK", "query_id": "TRUCK-2" } ], "streams": [ "TRUCK" ], "relevance_signals": [ "NO_TECHNOLOGY_MATCH" ], "auto_exclude_reason": "EC-4-topic", "screening_status": "auto_excluded", "screened_by": "auto-v1.0.0" }, { "id": "doi:10.1016/j.cie.2023.109593", "doi": "10.1016/j.cie.2023.109593", "title": "A branch-and-price method for a two-echelon location routing problem with recommended satellites", "year": 2023, "authors": [ "Xi-Dan Tian", "Zhi‐Hua Hu" ], "first_author": "Xi-Dan Tian", "venue": "Computers & Industrial Engineering", "volume": "184", "pages": null, "type": "article", "language": "en", "abstract": null, "keywords": [ "Mathematical optimization", "Column generation", "Solver", "Relay", "Routing (electronic design automation)", "Computer science", "Shortest path problem", "Integer programming", "Computer network", "Mathematics" ], "cited_by_openalex": 19, "cited_by_scopus": "19", "eid": "2-s2.0-85170649684", "pii": "S0360835223006174", "open_access_url": "https://doi.org/10.1016/j.cie.2023.109593", "sources": [ { "db": "openalex", "stream": "TRUCK", "query_id": "TRUCK-2" }, { "db": "scopus", "stream": "TRUCK", "query_id": "TRUCK-2" } ], "streams": [ "TRUCK" ], "relevance_signals": [ "NO_TECHNOLOGY_MATCH" ], "auto_exclude_reason": "EC-4-topic", "screening_status": "auto_excluded", "screened_by": "auto-v1.0.0" }, { "id": "doi:10.1016/j.tre.2023.103263", "doi": "10.1016/j.tre.2023.103263", "title": "A machine learning based branch-cut-and-Benders for dock assignment and truck scheduling problem in cross-docks", "year": 2023, "authors": [ "Rahimeh Neamatian Monemi", "Shahin Gelareh", "Nelson Maculan" ], "first_author": "Rahimeh Neamatian Monemi", "venue": "Transportation Research Part E Logistics and Transportation Review", "volume": "178", "pages": null, "type": "article", "language": "en", "abstract": null, "keywords": [ "Benders' decomposition", "Mathematical optimization", "Scheduling (production processes)", "Truck", "Computer science", "Time horizon", "Operations research", "Engineering", "Mathematics" ], "cited_by_openalex": 18, "cited_by_scopus": "19", "eid": "2-s2.0-85169618492", "pii": "S136655452300251X", "open_access_url": "https://doi.org/10.1016/j.tre.2023.103263", "sources": [ { "db": "openalex", "stream": "TRUCK", "query_id": "TRUCK-3" }, { "db": "scopus", "stream": "TRUCK", "query_id": "TRUCK-3" } ], "streams": [ "TRUCK" ], "relevance_signals": [ "TRUCK_NO_CTX" ], "auto_exclude_reason": "EC-4-topic", "screening_status": "auto_excluded", "screened_by": "auto-v1.0.0" }, { "id": "doi:10.1016/j.trc.2023.104333", "doi": "10.1016/j.trc.2023.104333", "title": "When drone delivery meets human courier: A co-sourcing perspective", "year": 2023, "authors": [ "Zhi Pei", "Yunduo Liu", "Xu Dai", "Yilun Yuan", "Changchun Liu" ], "first_author": "Zhi Pei", "venue": "Transportation Research Part C Emerging Technologies", "volume": "156", "pages": null, "type": "article", "language": "en", "abstract": null, "keywords": [ "Drone", "Computer science", "Profitability index", "Queue", "Operations research", "Profit (economics)", "Queueing theory", "Mathematical optimization", "Revenue", "Business", "Economics", "Microeconomics" ], "cited_by_openalex": 20, "cited_by_scopus": "19", "eid": "2-s2.0-85171380813", "pii": "S0968090X23003224", "open_access_url": "https://doi.org/10.1016/j.trc.2023.104333", "sources": [ { "db": "openalex", "stream": "UAV", "query_id": "UAV-1" }, { "db": "openalex", "stream": "UAV", "query_id": "UAV-2" }, { "db": "scopus", "stream": "UAV", "query_id": "UAV-1" }, { "db": "scopus", "stream": "UAV", "query_id": "UAV-2" } ], "streams": [ "UAV" ], "relevance_signals": [ "UAV" ], "auto_exclude_reason": null, "screening_status": "pending_human_screening", "screened_by": "auto-v1.0.0" }, { "id": "doi:10.1109/jiot.2023.3318524", "doi": "10.1109/jiot.2023.3318524", "title": "Collaborative Delivery Optimization With Multiple Drones via Constrained Hybrid Pointer Network", "year": 2023, "authors": [ "Fanhui Kong", "Bin Jiang", "Jian Wang", "Huihui Helen Wang", "Houbing Herbert Song" ], "first_author": "Fanhui Kong", "venue": "IEEE Internet of Things Journal", "volume": "11", "pages": "7739-7755", "type": "article", "language": "en", "abstract": "Drone participation in truck delivery is a potential booster for the last-mile logistics system, which has been an emerging hot research field. Among that, how to arrange a fleet of drones from the truck and optimize the vehicle routing problem with drones (VRPDs) is a key issue. However, most existing studies fail to derive the feasible solutions due to unordered customer distributions and multivariant drone feature constraints. In this article, we propose a novel self-driven reinforcement learning structure, named constraint-based hybrid pointer network (CH-Ptr-Net) model, which is a hybrid pointer network approach composed of graph neural network (GNN) embedding and attention decoder. We go into developing the simpler embedding version for multiple drones-assisted truck delivery. The CH-Ptr-Net model tends to generate a set of optimal delivery sequence, after constructing the mixed-integer linear program (MILP) formulation. Extensive numerical testing indicates that the proposed method performs better than recent exact and heuristic approaches for collaborative delivery routing optimization with the truck carrying multiple drones.", "keywords": [ "Drone", "Computer science", "Pointer (user interface)", "Vehicle routing problem", "Integer programming", "Truck", "Mathematical optimization", "Linear programming", "Network packet", "Distributed computing", "Routing (electronic design automation)", "Computer network" ], "cited_by_openalex": 19, "cited_by_scopus": "19", "eid": "2-s2.0-85173002054", "pii": null, "open_access_url": "https://mdsoar.org/bitstreams/79a8f351-50ac-4310-b648-6bce572fb5e2/download", "sources": [ { "db": "openalex", "stream": "UAV", "query_id": "UAV-1" }, { "db": "openalex", "stream": "UAV", "query_id": "UAV-2" }, { "db": "scopus", "stream": "UAV", "query_id": "UAV-1" }, { "db": "scopus", "stream": "UAV", "query_id": "UAV-2" } ], "streams": [ "UAV" ], "relevance_signals": [ "UAV", "TRUCK" ], "auto_exclude_reason": null, "screening_status": "pending_human_screening", "screened_by": "auto-v1.0.0" }, { "id": "doi:10.3390/app132413086", "doi": "10.3390/app132413086", "title": "Vehicle Routing Problem with Drones Considering Time Windows and Dynamic Demand", "year": 2023, "authors": [ "Jing Han", "Yanqiu Liu", "李岩 Li Yan" ], "first_author": "Jing Han", "venue": "Applied Sciences", "volume": "13", "pages": null, "type": "article", "language": "en", "abstract": "As a new delivery mode, the collaborative delivery of packages using trucks and drones has been proven to reduce delivery costs and delivery time. To cope with the huge cost challenges brought by strict time constraints and ever-changing customer orders in the actual delivery process, we established a two-stage optimization model based on different demand response strategies with the goal of minimizing delivery costs. To solve this problem, we designed a simulated annealing chimp optimization algorithm with a sine–cosine operator. The performance of this algorithm is improved by designing a variable-dimensional matrix encode to generate an initial solution, incorporating a sine–cosine operator and a simulated annealing mechanism to avoid falling into a local optimum. Numerical experiments verify the effectiveness of the proposed algorithm and strategy. Finally, we analyze the impact of dynamic degree on delivery cost. The proposed model and algorithm extend the theory of the vehicle routing problem with drones and also provide a feasible solution for route planning, taking into account dynamic demands and time windows.", "keywords": [ "Simulated annealing", "Mathematical optimization", "Computer science", "Vehicle routing problem", "Operator (biology)", "Routing (electronic design automation)", "Drone", "Dynamic programming", "Truck", "Algorithm", "Engineering", "Mathematics" ], "cited_by_openalex": 20, "cited_by_scopus": "19", "eid": "2-s2.0-85189008177", "pii": null, "open_access_url": "https://www.mdpi.com/2076-3417/13/24/13086/pdf?version=1701963451", "sources": [ { "db": "openalex", "stream": "UAV", "query_id": "UAV-2" }, { "db": "scopus", "stream": "UAV", "query_id": "UAV-2" } ], "streams": [ "UAV" ], "relevance_signals": [ "UAV_NO_CTX", "TRUCK_NO_CTX" ], "auto_exclude_reason": "EC-4-topic", "screening_status": "auto_excluded", "screened_by": "auto-v1.0.0" }, { "id": "doi:10.1016/j.buildenv.2023.110217", "doi": "10.1016/j.buildenv.2023.110217", "title": "Impact of heterogeneous building arrangement on local turbulence escalation", "year": 2023, "authors": [ "Hyunmin Yeo", "Sang Lee" ], "first_author": "Hyunmin Yeo", "venue": "Building and Environment", "volume": null, "pages": null, "type": "article", "language": "en", "abstract": null, "keywords": [ "Wake", "Freestream", "Turbulence", "Downwash", "Detached eddy simulation", "Vortex", "Vortex shedding", "Boundary layer", "Mechanics", "Meteorology", "Geology", "Flow (mathematics)" ], "cited_by_openalex": 19, "cited_by_scopus": 0, "eid": null, "pii": null, "open_access_url": "https://doi.org/10.1016/j.buildenv.2023.110217", "sources": [ { "db": "openalex", "stream": "UAV", "query_id": "UAV-3" } ], "streams": [ "UAV" ], "relevance_signals": [ "NO_TECHNOLOGY_MATCH" ], "auto_exclude_reason": "EC-4-topic", "screening_status": "auto_excluded", "screened_by": "auto-v1.0.0" }, { "id": "doi:10.65998/ijees.v1i3.47", "doi": "10.65998/ijees.v1i3.47", "title": "The Current Opportunities and Challenges in Drone Technology", "year": 2023, "authors": [ "Mohamed Emimi", "Mohamed Khaleel", "Abobakr Alkrash" ], "first_author": "Mohamed Emimi", "venue": "International Journal of Electrical Engineering and Sustainability", "volume": null, "pages": null, "type": "article", "language": null, "abstract": "The process of globalization is being significantly influenced by the integration of technology, and among the technological advancements, drone technology stands out as a prominent example. Drones have witnessed a remarkable increase in their usage across various disciplines, including agriculture, healthcare, and military domains. In agriculture, drones provide farmers with real-time data, empowering them to make well-informed decisions about the utilization of farm inputs. Additionally, drones serve a vital role in the healthcare sector by enabling the aerial delivery of essential medical supplies, such as blood, vaccines, drugs, and laboratory samples, to remote areas in developing nations during critical health emergencies. In the military realm, drones contribute to enhancing security and surveillance operations by monitoring enemy movements and facilitating targeted actions. However, it is crucial to acknowledge that despite their numerous benefits, drones can pose risks, such as potential injuries to individuals and damage to property, especially when operated by untrained personnel or in the event of component failures during flight. Moreover, extremist elements can be hijacking drones to further their agendas and redirect the payload accordingly. This paper aims to comprehensively analyze the current developments in agricultural, medical, and military drones through a rigorous examination of their strengths, weaknesses, and opportunities.", "keywords": [ "Drone", "Adversary", "Payload (computing)", "Process (computing)", "Event (particle physics)", "Globalization", "Health care" ], "cited_by_openalex": 19, "cited_by_scopus": 0, "eid": null, "pii": null, "open_access_url": "https://ijees.org/index.php/ijees/article/download/47/23", "sources": [ { "db": "openalex", "stream": "UAV", "query_id": "UAV-3" } ], "streams": [ "UAV" ], "relevance_signals": [ "UAV_NO_CTX" ], "auto_exclude_reason": "EC-4-topic", "screening_status": "auto_excluded", "screened_by": "auto-v1.0.0" }, { "id": "doi:10.3390/smartcities6050107", "doi": "10.3390/smartcities6050107", "title": "Optimising Urban Freight Logistics Using Discrete-Event Simulation and Cluster Analysis: A Stochastic Two-Tier Hub-and-Spoke Architecture Approach", "year": 2023, "authors": [ "Zichong Lyu", "Dirk John Pons", "Gilbert Palliparampil", "Yilei Zhang" ], "first_author": "Zichong Lyu", "venue": "Smart Cities", "volume": "6", "pages": "2347-2366", "type": "article", "language": "en", "abstract": "The transport of freight involves numerous intermediate steps, such as freight consolidation, truck allocation, and routing, all of which exhibit high day-to-day variability. On the delivery side, drivers usually cover specific geographic regions, also known as clusters, to optimise operational efficiency. A crucial aspect of this process is the effective allocation of resources to match business requirements. The discrete-event simulation (DES) technique excels in replicating intricate real-world operations and can integrate a multitude of stochastic variables, thereby enhancing its utility for decision making. The objective of this study is to formulate a routing architecture that integrates with a DES model to capture the variability in freight operations. This integration is intended to provide robust support for informed decision-making processes. A two-tier hub-and-spoke (H&S) architecture was proposed to simulate stochastic routing for the truck fleet, which provided insights into travel distance and time for cluster-based delivery. Real industry data were employed in geographic information systems (GISs) to apply the density-based spatial clustering of applications with noise (DBSCAN) clustering method to identify customer clusters and establish a truck plan based on freight demand and truck capacity. This clustering analysis and simulation approach can serve as a planning tool for freight logistics companies and distributors to optimise their resource utilisation and operational efficiency, and the findings may be applied to develop plans for new regions with customer locations and freight demands. The original contribution of this study is the integration of variable last-mile routing and an operations model for freight decision making.", "keywords": [ "Truck", "Cluster analysis", "Computer science", "Operations research", "Routing (electronic design automation)", "Vehicle routing problem", "Transport engineering", "Engineering", "Computer network" ], "cited_by_openalex": 18, "cited_by_scopus": "18", "eid": "2-s2.0-85175071143", "pii": null, "open_access_url": "https://www.mdpi.com/2624-6511/6/5/107/pdf?version=1693818935", "sources": [ { "db": "openalex", "stream": "TRUCK", "query_id": "TRUCK-1" }, { "db": "openalex", "stream": "TRUCK", "query_id": "TRUCK-2" }, { "db": "scopus", "stream": "TRUCK", "query_id": "TRUCK-1" }, { "db": "scopus", "stream": "TRUCK", "query_id": "TRUCK-2" } ], "streams": [ "TRUCK" ], "relevance_signals": [ "TRUCK" ], "auto_exclude_reason": null, "screening_status": "pending_human_screening", "screened_by": "auto-v1.0.0" }, { "id": "doi:10.1016/j.retrec.2023.101382", "doi": "10.1016/j.retrec.2023.101382", "title": "Ecommerce and environmental justice in metro Seattle", "year": 2023, "authors": [ "Travis Fried", "Rishi Verma", "Anne Goodchild" ], "first_author": "Travis Fried", "venue": "Research in Transportation Economics", "volume": "103", "pages": null, "type": "article", "language": "en", "abstract": "Urban distribution centers (UDCs) are opening at unprecedented rates to meet rising home delivery demand. The trend has raised concerns over the equity and environmental justice implications of ecommerce's negative externalities. However, little research exists connecting UDC location to the concentration of urban freight-derived air pollution among marginalized populations. Using spatial data of Amazon UDCs in metropolitan Seattle, this study quantifies the socio-spatial distribution of home delivery-related commercial vehicle kilometers traveled (VKT), corresponding air pollution, and explanatory factors. Results reveal that racial and income factors are relevant to criteria air pollutant exposure caused by home deliveries, due to tracts with majority people of color being closer in proximity to UDCs and highways. Tracts with majority people of color face the highest median concentration of delivery vehicle activity and emissions despite ordering less packages than white populations. While both cargo van and heavy-duty truck emissions disproportionately affect people of color, the socio-spatial distribution of truck emissions shows higher sensitivity to fluctuations in utilization. Prioritizing environmental mitigation of freight activity further up the urban distribution chain in proximity to UDCs, therefore, would have an outsized impact in minimizing disparities in ecommerce's negative externalities.", "keywords": [ "Environmental justice", "Metropolitan area", "Externality", "San Joaquin", "Vehicle miles of travel", "Distribution (mathematics)", "Truck", "Equity (law)", "Air pollution", "Business", "Geography", "Agricultural economics" ], "cited_by_openalex": 20, "cited_by_scopus": "18", "eid": "2-s2.0-85178122580", "pii": "S0739885923001221", "open_access_url": "https://doi.org/10.1016/j.retrec.2023.101382", "sources": [ { "db": "openalex", "stream": "TRUCK", "query_id": "TRUCK-1" }, { "db": "scopus", "stream": "TRUCK", "query_id": "TRUCK-1" } ], "streams": [ "TRUCK" ], "relevance_signals": [ "TRUCK" ], "auto_exclude_reason": null, "screening_status": "pending_human_screening", "screened_by": "auto-v1.0.0" }, { "id": "doi:10.1016/j.ejco.2023.100078", "doi": "10.1016/j.ejco.2023.100078", "title": "Constraint programming models for the parallel drone scheduling vehicle routing problem", "year": 2023, "authors": [ "Roberto Montemanni", "Mauro Dell’Amico" ], "first_author": "Roberto Montemanni", "venue": "EURO Journal on Computational Optimization", "volume": "11", "pages": null, "type": "article", "language": "en", "abstract": "Drones are currently seen as a viable way for improving the distribution of parcels in urban and rural environments, while working in coordination with traditional vehicles like trucks. In this paper we consider the parallel drone scheduling vehicle routing problem, where the service of a set of customers requiring a delivery is split between a fleet of trucks and a fleet of drones. We consider two variations of the problem. In the first one, the problem is more theoretical, and the target is the minimization of the time required to complete the service and have all the vehicles back to the depot. In the second variant, more realistic constraints involving operating costs, capacity limitation and workload balance, are considered, and the target is to minimize the total operational costs. We propose different constraint programming models to deal with the two problems. An experimental champaign on the instances previously adopted in the literature is presented to validate the new solving methods. The results show that, on top of being a viable way to solve problems to optimality, the models can also be used to derive effective heuristic solutions and high-quality lower bounds for the optimal cost, if the execution is interrupted before its natural end.", "keywords": [ "Computer science", "Vehicle routing problem", "Drone", "Truck", "Scheduling (production processes)", "Mathematical optimization", "Workload", "Constraint programming", "Job shop scheduling", "Operations research", "Routing (electronic design automation)", "Heuristic" ], "cited_by_openalex": 15, "cited_by_scopus": "18", "eid": "2-s2.0-85173580420", "pii": "S2192440623000229", "open_access_url": "https://doi.org/10.1016/j.ejco.2023.100078", "sources": [ { "db": "openalex", "stream": "TRUCK", "query_id": "TRUCK-3" }, { "db": "openalex", "stream": "UAV", "query_id": "UAV-2" }, { "db": "scopus", "stream": "TRUCK", "query_id": "TRUCK-3" }, { "db": "scopus", "stream": "UAV", "query_id": "UAV-2" } ], "streams": [ "TRUCK", "UAV" ], "relevance_signals": [ "UAV_NO_CTX", "TRUCK_NO_CTX" ], "auto_exclude_reason": "EC-4-topic", "screening_status": "auto_excluded", "screened_by": "auto-v1.0.0" }, { "id": "doi:10.1016/j.tranpol.2023.10.002", "doi": "10.1016/j.tranpol.2023.10.002", "title": "The impact of civil airspace policies on the viability of adopting autonomous unmanned aerial vehicles in last-mile applications", "year": 2023, "authors": [ "Mo ElSayed", "Ahmed Foda", "Moataz Mohamed" ], "first_author": "Mo ElSayed", "venue": "Transport Policy", "volume": "145", "pages": "37-54", "type": "article", "language": "en", "abstract": null, "keywords": [ "Mile", "Last mile (transportation)", "Range (aeronautics)", "Aeronautics", "Ranging", "Transport engineering", "Drone", "Computer science", "Operations research", "Engineering", "Aerospace engineering", "Telecommunications" ], "cited_by_openalex": 18, "cited_by_scopus": "18", "eid": "2-s2.0-85175010856", "pii": "S0967070X23002640", "open_access_url": "https://doi.org/10.1016/j.tranpol.2023.10.002", "sources": [ { "db": "openalex", "stream": "UAV", "query_id": "UAV-1" }, { "db": "scopus", "stream": "UAV", "query_id": "UAV-1" } ], "streams": [ "UAV" ], "relevance_signals": [ "UAV" ], "auto_exclude_reason": null, "screening_status": "pending_human_screening", "screened_by": "auto-v1.0.0" }, { "id": "doi:10.1016/j.retrec.2023.101325", "doi": "10.1016/j.retrec.2023.101325", "title": "The sustainable hybrid truck-drone delivery model with stochastic customer existence", "year": 2023, "authors": [ "Ebrahim Teimoury", "Reza Rashid" ], "first_author": "Ebrahim Teimoury", "venue": "Research in Transportation Economics", "volume": "100", "pages": null, "type": "article", "language": "en", "abstract": null, "keywords": [ "Drone", "Truck", "Payload (computing)", "Computer science", "Heuristic", "Operations research", "Markov chain", "Order (exchange)", "Operational efficiency", "Mathematical optimization", "Automotive engineering", "Engineering" ], "cited_by_openalex": 18, "cited_by_scopus": "18", "eid": "2-s2.0-85164393379", "pii": "S0739885923000653", "open_access_url": "https://doi.org/10.1016/j.retrec.2023.101325", "sources": [ { "db": "openalex", "stream": "UAV", "query_id": "UAV-1" }, { "db": "scopus", "stream": "TRUCK", "query_id": "TRUCK-1" }, { "db": "scopus", "stream": "UAV", "query_id": "UAV-1" } ], "streams": [ "TRUCK", "UAV" ], "relevance_signals": [ "UAV_NO_CTX", "TRUCK_NO_CTX" ], "auto_exclude_reason": "EC-4-topic", "screening_status": "auto_excluded", "screened_by": "auto-v1.0.0" }, { "id": "doi:10.1016/j.tranpol.2023.12.004", "doi": "10.1016/j.tranpol.2023.12.004", "title": "Examining urban delivery service user profiles and determinants of drone delivery adoption in Ghana considering usage before and after the COVID-19 pandemic", "year": 2023, "authors": [ "Reuben Tamakloe", "Kaihan Zhang", "Jonathan Atandzi", "Dongjoo Park" ], "first_author": "Reuben Tamakloe", "venue": "Transport Policy", "volume": "146", "pages": "279-294", "type": "article", "language": "en", "abstract": null, "keywords": [ "Pandemic", "Business", "Drone", "Service (business)", "Probit", "Service delivery framework", "Probit model", "Marketing", "Internet privacy", "Environmental health", "Coronavirus disease 2019 (COVID-19)", "Medicine" ], "cited_by_openalex": 19, "cited_by_scopus": "18", "eid": "2-s2.0-85180418486", "pii": "S0967070X23003323", "open_access_url": "https://doi.org/10.1016/j.tranpol.2023.12.004", "sources": [ { "db": "openalex", "stream": "UAV", "query_id": "UAV-1" }, { "db": "scopus", "stream": "UAV", "query_id": "UAV-1" } ], "streams": [ "UAV" ], "relevance_signals": [ "UAV" ], "auto_exclude_reason": null, "screening_status": "pending_human_screening", "screened_by": "auto-v1.0.0" }, { "id": "doi:10.3390/drones7090582", "doi": "10.3390/drones7090582", "title": "An Operational Capacity Assessment Method for an Urban Low-Altitude Unmanned Aerial Vehicle Logistics Route Network", "year": 2023, "authors": [ "Yi Jia", "Honghai Zhang", "Fei Wang", "Changyuan Ning", "Hao Liu", "Gang Zhong" ], "first_author": "Yi Jia", "venue": "Drones", "volume": "7", "pages": null, "type": "article", "language": "en", "abstract": "The Federal Aviation Administration introduced the concept of urban air mobility (UAM), a new three-dimensional transport system that operates with a fusion of manned/unmanned aerial vehicles on an urban or intercity scale. The rapid development of UAM has brought innovation and dynamism to many industries, especially in the field of logistics. Various types of unmanned aerial vehicles (UAVs) for use in transport logistics are being designed and produced. UAV logistics refers to the use of UAVs, usually carrying goods and parcels, to achieve route planning, identify risk perception, facilitate parcel delivery, and carry out other functions. This research provides a method for assessing the operational capacity of a UAV logistics route network. The concept of “logistics UAV route network operation capacity” is defined, and a bi-objective optimization model for assessing the route network’s operating capacity is developed. The first objective is to maximize the number of UAV logistics delivery plans that can be executed in a fixed operation time. The second objective is to minimize the total operational impedance value in a fixed operation time. To solve the bi-objective optimization model, the Non-dominated Sorting Genetic Algorithm-II (NSGA-II) is utilized. A UAV logistics route network with 62 nodes is developed to assess the rationale and validity of the proposed concept. The experiments show that with an increase in operation time, the route network’s optimal operational capacity gradually increases, the convergence speed of the algorithm slows down, and the optimization magnitude gradually reduces. Two key parameters—operational safety interval and flight speed—are further analyzed in the experiments. According to the experiments, as the safety interval increases, the route network’s average operational capacity steadily diminishes, as does its sensitivity to the safety interval. The average operational capacity steadily rose with the rise in flight speed, especially when the UAV logistics flight speed was between 10 m/s and 10.5 m/s. In that range, the operational capacity of the route network was substantially impacted by the flight speed.", "keywords": [ "Computer science", "Transport engineering", "Dynamism", "Key (lock)", "Sorting", "Operations research", "Engineering" ], "cited_by_openalex": 18, "cited_by_scopus": "18", "eid": "2-s2.0-85172248854", "pii": null, "open_access_url": "https://www.mdpi.com/2504-446X/7/9/582/pdf?version=1694776013", "sources": [ { "db": "openalex", "stream": "UAV", "query_id": "UAV-1" }, { "db": "scopus", "stream": "UAV", "query_id": "UAV-1" } ], "streams": [ "UAV" ], "relevance_signals": [ "UAV" ], "auto_exclude_reason": null, "screening_status": "pending_human_screening", "screened_by": "auto-v1.0.0" }, { "id": "doi:10.1109/tits.2023.3329029", "doi": "10.1109/tits.2023.3329029", "title": "Drones in the Big City: Autonomous Collision Avoidance for Aerial Delivery Services", "year": 2023, "authors": [ "Fabíola Martins Campos de Oliveira", "Luiz F. Bittencourt", "Reinaldo A. C. Bianchi", "Carlos Kamienski" ], "first_author": "Fabíola Martins Campos de Oliveira", "venue": "IEEE Transactions on Intelligent Transportation Systems", "volume": "25", "pages": "4657-4674", "type": "article", "language": "en", "abstract": "As delivery companies continue to explore the use of drones, the need for efficient and safe operation in urban environments becomes increasingly critical. Market-wide versions of drone delivery services will necessarily spread many drones, especially in big cities. In this scenario, avoiding collisions with other drones or typical obstacles in urban spaces is fundamental. This paper proposes and evaluates, via simulation and analytical modeling, an aerial delivery service scenario and three autonomous geometric approaches for collision avoidance. We compare our approaches with three simple methods – DoNothing (not detouring), Random, and aviation-like Rightward – and two state-of-the-art geometric approaches. Simulation experiments consider different fleet sizes with constant and Poisson drone arrival rates and drones randomly choosing one of different altitudes for the cruise flight. Contrary to our expectations, the Random and Rightward approaches increase the collisions compared with DoNothing, making the latter our baseline. Our approaches significantly reduce collisions in all experiments and deal with more drones within the detection radius, showing that collisions are more complex to avoid. Comparing the collision rate, successful trips, and the number of flying drones reveals that the efficiency in avoiding collisions reduces the number of successful trips by increasing the number of active drones. Regardless of the expected reduction in collisions, more altitudes do not eliminate them. These results indicate the need for more sophisticated approaches to reduce or eliminate collisions. The analytical modeling using Markov Chains corroborates the simulation results by shedding some light on and helping explain the simulation results.", "keywords": [ "Drone", "Computer science", "Collision avoidance", "Markov chain", "TRIPS architecture", "Trajectory", "Simulation", "Aeronautics", "Collision", "Aerospace engineering", "Computer security", "Engineering" ], "cited_by_openalex": 27, "cited_by_scopus": "18", "eid": "2-s2.0-85177093683", "pii": null, "open_access_url": "https://doi.org/10.1109/tits.2023.3329029", "sources": [ { "db": "openalex", "stream": "UAV", "query_id": "UAV-2" }, { "db": "openalex", "stream": "UAV", "query_id": "UAV-3" }, { "db": "scopus", "stream": "UAV", "query_id": "UAV-3" } ], "streams": [ "UAV" ], "relevance_signals": [ "UAV_NO_CTX" ], "auto_exclude_reason": "EC-4-topic", "screening_status": "auto_excluded", "screened_by": "auto-v1.0.0" }, { "id": "doi:10.3390/drones7010037", "doi": "10.3390/drones7010037", "title": "Repurposing Existing Infrastructure for Urban Air Mobility: A Scenario Analysis in Southern California", "year": 2023, "authors": [ "Xiangyu Li" ], "first_author": "Xiangyu Li", "venue": "Drones", "volume": "7", "pages": null, "type": "article", "language": "en", "abstract": "The deployment of urban air mobility in built-out metropolitan regions is constrained by infrastructure opportunities, land use, and airspace zoning designations. Meanwhile, the availability and spatial distribution of infrastructure opportunities influence the travel demand that can be potentially captured by UAM services. The purpose of this study is to provide an initial assessment of the infrastructure opportunities of UAM in southern California with different mixes of spatial constraints, such as noise levels, school buffer zones, and airspace zones. The corresponding travel demand that can be potentially captured under each scenario is estimated with a home–workplace trip table. The results of the analyses indicate that supply-side infrastructure opportunities, such as heliports and elevated parking structures, are widely available to accommodate the regional deployment of UAM services. However, current spatial constraints can significantly limit the scope of vertiport location choices. Furthermore, the low-income population, blue-collar workers, and young people live farther away from supply-side opportunities than the general population. Moreover, this study proposes a network of UAM based on the top home-based and workplace-based stations for long-distance trips.", "keywords": [ "Metropolitan area", "Zoning", "Software deployment", "TRIPS architecture", "Transport engineering", "Population", "Business", "Geography", "Computer science", "Engineering", "Civil engineering" ], "cited_by_openalex": 19, "cited_by_scopus": "18", "eid": "2-s2.0-85146804396", "pii": null, "open_access_url": "https://www.mdpi.com/2504-446X/7/1/37/pdf?version=1672911524", "sources": [ { "db": "openalex", "stream": "UAV", "query_id": "UAV-3" }, { "db": "scopus", "stream": "UAV", "query_id": "UAV-3" } ], "streams": [ "UAV" ], "relevance_signals": [ "UAV_NO_CTX" ], "auto_exclude_reason": "EC-4-topic", "screening_status": "auto_excluded", "screened_by": "auto-v1.0.0" }, { "id": "doi:10.1016/j.eiar.2022.106955", "doi": "10.1016/j.eiar.2022.106955", "title": "A GPS-based approach to measure the environmental impact of construction-related HGV traffic on city level", "year": 2023, "authors": [ "Brusselaers N." ], "first_author": "Brusselaers N.", "venue": "Environmental Impact Assessment Review", "volume": "98", "pages": null, "type": "Article", "language": null, "abstract": null, "keywords": [], "cited_by_openalex": 0, "cited_by_scopus": "18", "eid": "2-s2.0-85140394316", "pii": "S0195925522002219", "open_access_url": null, "sources": [ { "db": "scopus", "stream": "TRUCK", "query_id": "TRUCK-1" } ], "streams": [ "TRUCK" ], "relevance_signals": [ "NO_TECHNOLOGY_MATCH" ], "auto_exclude_reason": "EC-4-topic", "screening_status": "auto_excluded", "screened_by": "auto-v1.0.0" }, { "id": "doi:10.3390/su152316253", "doi": "10.3390/su152316253", "title": "Urban Courier Delivery in a Smart City: The User Learning Process of Travel Costs Enhanced by Emerging Technologies", "year": 2023, "authors": [ "Russo F." ], "first_author": "Russo F.", "venue": "Sustainability Switzerland", "volume": "15", "pages": null, "type": "Article", "language": null, "abstract": null, "keywords": [], "cited_by_openalex": 0, "cited_by_scopus": "18", "eid": "2-s2.0-85184719071", "pii": null, "open_access_url": null, "sources": [ { "db": "scopus", "stream": "TRUCK", "query_id": "TRUCK-2" } ], "streams": [ "TRUCK" ], "relevance_signals": [ "NO_TECHNOLOGY_MATCH" ], "auto_exclude_reason": "EC-4-topic", "screening_status": "auto_excluded", "screened_by": "auto-v1.0.0" }, { "id": "doi:10.1049/itr2.12437", "doi": "10.1049/itr2.12437", "title": "CO 2 emissions and delivery time of last‐mile drone delivery using trucks", "year": 2023, "authors": [ "Sung Ho Hur", "Minsu Won" ], "first_author": "Sung Ho Hur", "venue": "IET Intelligent Transport Systems", "volume": "18", "pages": "101-113", "type": "article", "language": "en", "abstract": "Abstract The shift in consumer behaviour from in‐person to online shopping has led to an increase in parcel delivery volume and its associated negative impacts, such as CO 2 emissions in cities. With the emergence of drone‐delivery technologies, the authors analyzed a joint delivery method using drones and trucks, which is an emerging alternative solution for last‐mile delivery in terms of CO 2 emissions and delivery time. The analysis verified the highest possible level of reduction in CO 2 emissions for the simultaneous and strategic operation of drones and trucks compared to diesel‐ or electric‐only truck operations. Moreover, this approach leads to reduced delivery times. A sensitivity analysis was performed to optimize the delivery‐drone flight performance in a drone‐and‐truck delivery strategy. It was found that a 1.5‐km drone flight performance was sufficient when considering the reasonable assumptions adopted in this study. Furthermore, based on the analysis results, drone‐and‐truck cooperative delivery strategies may not provide a significant advantage in terms of CO 2 emissions compared with alternative transportation modes, such as fuel‐cell trucks with sufficiently low emissions. It has been empirically verified that changes in CO 2 emissions are proportional to the number of clusters. However, there is a risk of local optima due to microscopic fluctuations among neighbouring cluster numbers, which occurs during the search for the optimal number of clusters.", "keywords": [ "Drone", "Truck", "Diesel fuel", "Food delivery", "Transport engineering", "Last mile (transportation)", "Cluster (spacecraft)", "Mile", "Automotive engineering", "Environmental science", "Computer science", "Engineering" ], "cited_by_openalex": 18, "cited_by_scopus": "17", "eid": "2-s2.0-85175533685", "pii": null, "open_access_url": "https://onlinelibrary.wiley.com/doi/pdfdirect/10.1049/itr2.12437", "sources": [ { "db": "openalex", "stream": "TRUCK", "query_id": "TRUCK-1" }, { "db": "openalex", "stream": "UAV", "query_id": "UAV-1" }, { "db": "scopus", "stream": "TRUCK", "query_id": "TRUCK-1" }, { "db": "scopus", "stream": "UAV", "query_id": "UAV-1" }, { "db": "scopus", "stream": "UAV", "query_id": "UAV-2" } ], "streams": [ "TRUCK", "UAV" ], "relevance_signals": [ "UAV", "TRUCK" ], "auto_exclude_reason": null, "screening_status": "pending_human_screening", "screened_by": "auto-v1.0.0" }, { "id": "doi:10.1007/s10287-023-00453-3", "doi": "10.1007/s10287-023-00453-3", "title": "Enabling same-day delivery using a drone resupply model with transshipment points", "year": 2023, "authors": [ "Mohammad Moshref‐Javadi", "Kristof P. Van Cauwenberghe", "Brent A. McCunney", "Ahmad Hemmati" ], "first_author": "Mohammad Moshref‐Javadi", "venue": "Computational Management Science", "volume": "20", "pages": null, "type": "article", "language": "en", "abstract": "Abstract We study a hybrid logistics delivery model which incorporates trucks and drones. In this model, named the Drone Resupply Model with Transshipment Points (DRMTP), drones are used to resupply transshipment points where trucks visit to pick up packages for delivery to customers. A simulation model is developed to simulate the delivery operations. The model is evaluated in two case studies in an urban area and a suburban area in Massachusetts, USA. Using this resupply model, the average delivery time is reduced compared to the conventional truck-only delivery model. The experimental results in the suburban region show that the DRMTP model with one transshipment point achieves 36% lower delivery time compared to the truck-only model. In the urban region, the model with four transshipment points obtains 66% delivery time reduction compared to the truck-only model. The results indicate that the proposed model can be used to enhance the efficiency of the last-mile delivery operations.", "keywords": [ "Transshipment (information security)", "Truck", "Drone", "Computer science", "Delivery Performance", "Operations research", "Point (geometry)", "Location model", "Transport engineering", "Simulation", "Engineering", "Automotive engineering" ], "cited_by_openalex": 16, "cited_by_scopus": "17", "eid": "2-s2.0-85158141615", "pii": null, "open_access_url": "https://link.springer.com/content/pdf/10.1007/s10287-023-00453-3.pdf", "sources": [ { "db": "openalex", "stream": "TRUCK", "query_id": "TRUCK-1" }, { "db": "openalex", "stream": "UAV", "query_id": "UAV-1" }, { "db": "scopus", "stream": "TRUCK", "query_id": "TRUCK-1" }, { "db": "scopus", "stream": "UAV", "query_id": "UAV-1" } ], "streams": [ "TRUCK", "UAV" ], "relevance_signals": [ "UAV", "TRUCK" ], "auto_exclude_reason": null, "screening_status": "pending_human_screening", "screened_by": "auto-v1.0.0" }, { "id": "doi:10.1007/s10732-023-09510-1", "doi": "10.1007/s10732-023-09510-1", "title": "A hybrid heuristic algorithm for urban distribution with simultaneous pickup-delivery and time window", "year": 2023, "authors": [ "Fagui Liu", "Lvshengbiao Wang", "Mengke Gui", "Yang Zhang", "Yulin Lan", "Chengqi Lai", "Boyuan Zhu" ], "first_author": "Fagui Liu", "venue": "Journal of Heuristics", "volume": "29", "pages": "269-311", "type": "article", "language": "en", "abstract": null, "keywords": [ "Computer science", "Pickup", "Algorithm", "Benchmark (surveying)", "Mathematical optimization", "Heuristic", "Vehicle routing problem", "Convergence (economics)", "Mathematics", "Routing (electronic design automation)", "Artificial intelligence" ], "cited_by_openalex": 13, "cited_by_scopus": "17", "eid": "2-s2.0-85158125354", "pii": null, "open_access_url": "https://doi.org/10.1007/s10732-023-09510-1", "sources": [ { "db": "openalex", "stream": "TRUCK", "query_id": "TRUCK-2" }, { "db": "scopus", "stream": "TRUCK", "query_id": "TRUCK-2" } ], "streams": [ "TRUCK" ], "relevance_signals": [ "NO_TECHNOLOGY_MATCH" ], "auto_exclude_reason": "EC-4-topic", "screening_status": "auto_excluded", "screened_by": "auto-v1.0.0" }, { "id": "doi:10.1016/j.jenvman.2022.117071", "doi": "10.1016/j.jenvman.2022.117071", "title": "Allocation of products to a heterogeneous fleet of trucks in a cross-docking center based on carbon emissions and costs in food and beverage industry: Novel uncertain solution approaches", "year": 2023, "authors": [ "Mohsen Rajabzadeh", "Seyed Meysam Mousavi" ], "first_author": "Mohsen Rajabzadeh", "venue": "Journal of Environmental Management", "volume": "332", "pages": null, "type": "article", "language": "en", "abstract": null, "keywords": [ "Truck", "Integer programming", "Operations research", "Scheduling (production processes)", "Computer science", "Weighting", "Schedule", "Linear programming", "Pareto principle", "Purchasing", "Mathematical optimization", "Operations management" ], "cited_by_openalex": 16, "cited_by_scopus": "17", "eid": "2-s2.0-85148042866", "pii": "S0301479722026445", "open_access_url": "https://doi.org/10.1016/j.jenvman.2022.117071", "sources": [ { "db": "openalex", "stream": "TRUCK", "query_id": "TRUCK-3" }, { "db": "scopus", "stream": "TRUCK", "query_id": "TRUCK-3" } ], "streams": [ "TRUCK" ], "relevance_signals": [ "TRUCK_NO_CTX" ], "auto_exclude_reason": "EC-4-topic", "screening_status": "auto_excluded", "screened_by": "auto-v1.0.0" }, { "id": "doi:10.3390/drones7050300", "doi": "10.3390/drones7050300", "title": "Drone High-Rise Aerial Delivery with Vertical Grid Screening", "year": 2023, "authors": [ "Avishkar Seth", "Alice James", "Endrowednes Kuantama", "Subhas Chandra Mukhopadhyay", "Richard Y. Han" ], "first_author": "Avishkar Seth", "venue": "Drones", "volume": "7", "pages": null, "type": "article", "language": "en", "abstract": "Delivery drones typically perform delivery by suspending the parcel vertically or landing the drone to drop off the package. However, because of the constrained landing area and the requirement for precise navigation, delivering items to customers who reside in multi-story apartment complexes poses a unique challenge. This research paper proposes a novel drone delivery system for multi-story apartment buildings with balconies that employ two methods for Vertical Grid Screening (VGS), i.e., Grid Screening (GS) and Square Screening (SS), to detect unique markers to identify the precise balcony that needs to receive the product. The developed drone has a frame size of 295 mm and is equipped with a stereo camera and a ranging sensor. The research paper also explores the scanning and trajectory methods required for autonomous flight to accurately approach the marker location. The proposed machine learning system is trained on a YOLOv5 model for image recognition of the marker, and four different models and batch sizes are compared. The 32-batch size with a 960 × 1280 resolution model provides an average of 0.97 confidence for an extended range. This system is tested outdoors and shows an accuracy of 95% for a planned trajectory with 398 ms detection time as a solution for last-mile delivery in urban areas.", "keywords": [ "Drone", "Grid", "Computer science", "Real-time computing", "Trajectory", "Frame (networking)", "Artificial intelligence", "Range (aeronautics)", "Simulation", "Computer vision", "Geography", "Engineering" ], "cited_by_openalex": 23, "cited_by_scopus": "17", "eid": "2-s2.0-85160269619", "pii": null, "open_access_url": "https://www.mdpi.com/2504-446X/7/5/300/pdf?version=1683283556", "sources": [ { "db": "openalex", "stream": "UAV", "query_id": "UAV-1" }, { "db": "openalex", "stream": "UAV", "query_id": "UAV-3" }, { "db": "scopus", "stream": "UAV", "query_id": "UAV-1" }, { "db": "scopus", "stream": "UAV", "query_id": "UAV-3" } ], "streams": [ "UAV" ], "relevance_signals": [ "UAV" ], "auto_exclude_reason": null, "screening_status": "pending_human_screening", "screened_by": "auto-v1.0.0" }, { "id": "doi:10.1109/dasc58513.2023.10311219", "doi": "10.1109/dasc58513.2023.10311219", "title": "A UAV Path Planning Method in Three-Dimensional Urban Airspace based on Safe Reinforcement Learning", "year": 2023, "authors": [ "Yan Li", "Xuejun Zhang", "Yuanjun Zhu", "Ziang Gao" ], "first_author": "Yan Li", "venue": "AIAA IEEE Digital Avionics Systems Conference Proceedings", "volume": null, "pages": null, "type": "conference-paper", "language": "en", "abstract": "Under the demand of urban terminal \"Last Mile Delivery\" scenario, finding a safe and efficient UAV path planning method is a crucial issue of current research. Nowadays, reinforcement learning is widely used in UAV path planning, but it is difficult to ensure the safety of the learning or execution phases due to the lack of hard constraints. Aiming at the constraints above, this paper studies how to combine safety properties with RL algorithm to find a safe path and proposes a safe reinforcement learning method called Shield-DDPG for UAV path planning. In the method, a protection mechanism Shield is mainly introduced to prevent the algorithm from outputting unsafe actions. Further, the state space, action space, and reward function are specifically improved for efficiency and safety. Then we compare the Shield-DDPG algorithm with the DDPG and RRT algorithm in some different scenarios, and the results show that the proposed algorithm has a better performance. With the proposed path planning method, UAV can learn well to efficiently and safely reach the destination via calling the trained policy. This research is of great importance to UAV operations and practical applications in complex urban airspace.", "keywords": [ "Reinforcement learning", "Computer science", "Motion planning", "Path (computing)", "Function (biology)", "Mathematical optimization", "Simulation", "Real-time computing", "Artificial intelligence", "Mathematics", "Computer network" ], "cited_by_openalex": 10, "cited_by_scopus": "17", "eid": "2-s2.0-85178654219", "pii": null, "open_access_url": "https://doi.org/10.1109/dasc58513.2023.10311219", "sources": [ { "db": "openalex", "stream": "UAV", "query_id": "UAV-1" }, { "db": "scopus", "stream": "UAV", "query_id": "UAV-1" } ], "streams": [ "UAV" ], "relevance_signals": [ "UAV" ], "auto_exclude_reason": null, "screening_status": "pending_human_screening", "screened_by": "auto-v1.0.0" }, { "id": "doi:10.1007/s40815-022-01435-4", "doi": "10.1007/s40815-022-01435-4", "title": "Vessel-UAV Collaborative Optimization for the Offshore Oil and Gas Pipelines Inspection", "year": 2023, "authors": [ "Guiqin Xue", "Yantong Li", "Zheng Wang" ], "first_author": "Guiqin Xue", "venue": "International Journal of Fuzzy Systems", "volume": "25", "pages": "382-394", "type": "article", "language": "en", "abstract": null, "keywords": [ "Computer science", "Mathematical optimization", "Pipeline transport", "Tabu search", "Heuristic", "Pipeline (software)", "Fuzzy logic", "Computational intelligence", "Integer programming", "Genetic algorithm", "Routing (electronic design automation)", "Operations research" ], "cited_by_openalex": 13, "cited_by_scopus": "17", "eid": "2-s2.0-85145554725", "pii": null, "open_access_url": "https://doi.org/10.1007/s40815-022-01435-4", "sources": [ { "db": "openalex", "stream": "UAV", "query_id": "UAV-2" }, { "db": "scopus", "stream": "UAV", "query_id": "UAV-2" } ], "streams": [ "UAV" ], "relevance_signals": [ "UAV_NO_CTX" ], "auto_exclude_reason": "EC-4-topic", "screening_status": "auto_excluded", "screened_by": "auto-v1.0.0" }, { "id": "doi:10.1007/s13272-023-00650-5", "doi": "10.1007/s13272-023-00650-5", "title": "Estimating vertiport passenger throughput capacity for prominent eVTOL designs", "year": 2023, "authors": [ "Lukas Preis" ], "first_author": "Lukas Preis", "venue": "CEAS Aeronautical Journal", "volume": "14", "pages": "353-368", "type": "article", "language": "en", "abstract": "Abstract Urban Air Mobility has the potential to substantially reduce travel times in some cases of urban-related transportation. Travel time savings strongly depend on fast processing at vertiports, which presents a key challenge considering demand levels’ vertiports would experience when becoming an established mode of transport. This article sheds light on the passenger throughput vertiport airfields can manage and how the operations are sensitive to changes. One main contribution of this article is the introduction of hourly passenger throughput per area as a performance indicator that allows to compare vertiports of different sizes. VoloCity is studied as a reference vehicle and the resulting space requirement of the carefully specified baseline scenario is 188 square-meters per passenger per hour. A total of 13 prominent eVTOL designs are included in the study from which the current design space between maximum vehicle dimension and number of seats is deducted. The study shows that vehicles with a small maximum dimension yield the highest passenger throughput capacity. CityAirbus performs best (46.3 m2/PAX/h) with a diameter of 7.92 m and Archer Maker performs worst (221 m2/PAX/h) with a diameter of 12.2 m. How the performance indicators can be used as rules-of-thumb in the first-order estimations of vertiport throughput capacity or space requirement is described by means of illustrative examples. The insights presented in this paper might be useful for researches, vehicle developers, and municipalities alike.", "keywords": [ "Throughput", "Rule of thumb", "Dimension (graph theory)", "Transport engineering", "Mode (computer interface)", "Computer science", "Space (punctuation)", "Baseline (sea)", "Key (lock)", "Operations research", "Automotive engineering", "Engineering" ], "cited_by_openalex": 18, "cited_by_scopus": "17", "eid": "2-s2.0-85158077512", "pii": null, "open_access_url": "https://link.springer.com/content/pdf/10.1007/s13272-023-00650-5.pdf", "sources": [ { "db": "openalex", "stream": "UAV", "query_id": "UAV-3" }, { "db": "scopus", "stream": "UAV", "query_id": "UAV-3" } ], "streams": [ "UAV" ], "relevance_signals": [ "UAV_NO_CTX" ], "auto_exclude_reason": "EC-4-topic", "screening_status": "auto_excluded", "screened_by": "auto-v1.0.0" }, { "id": "doi:10.1109/icufn57995.2023.10201012", "doi": "10.1109/icufn57995.2023.10201012", "title": "BANDA: A Novel Blockchain-Assisted Network for Drone Authentication", "year": 2023, "authors": [ "Simeon Okechukwu Ajakwe", "Igboanusi Ikechi Saviour", "Jung-Hyeon Kim", "Dong‐Seong Kim", "Jae Min Lee" ], "first_author": "Simeon Okechukwu Ajakwe", "venue": "International Conference on Ubiquitous and Future Networks Icufn", "volume": "2023-July", "pages": "120-125", "type": "conference-paper", "language": "en", "abstract": "The development of a comprehensive and decisive drone defense integrated control system (DDS) that can provide maximum security is crucial for smart aerial mobility to sustain the emerging drone transportation system (DTS) for priority-based logistics and mobile communication. This study developed a robust drone defense control system that uses blockchain technology to verify and authenticate the legitimacy of a drone operation and verify its package delivery to forestall possible disruption of aerial vehicular mobility, malicious attacks, and invasions. The system accepts inputs about the drone information and attached package in real-time over the cloud and verifies them using a proof of authority algorithm and smart contract and authenticates them using a decentralized application that is deployed on the drone, the ground control station, and the DDS before executing the appropriate neutralization response. To maintain a proper balance between scalable authentication, security, and speed of responsiveness in taking action, the legacy and the proposed blockchain-assisted approach run in parallel, and the disparity in the result is adjudged a perceived illegitimate aerial mobility intention in real-time. With the deployment of the BANDA on three (3) public networks, the Avalanche Fuji achieved a 97.7 ms authentication latency adjudging it an efficient and effective drone defense security approach for ensuring the sustainability of DTS as an autonomous vehicle for mobility.", "keywords": [ "Drone", "Computer science", "Computer security", "Scalability", "Authentication (law)", "Blockchain", "Software deployment", "Computer network", "Operating system" ], "cited_by_openalex": 13, "cited_by_scopus": "17", "eid": "2-s2.0-85169290013", "pii": null, "open_access_url": "https://doi.org/10.1109/icufn57995.2023.10201012", "sources": [ { "db": "openalex", "stream": "UAV", "query_id": "UAV-3" }, { "db": "scopus", "stream": "UAV", "query_id": "UAV-3" } ], "streams": [ "UAV" ], "relevance_signals": [ "UAV" ], "auto_exclude_reason": null, "screening_status": "pending_human_screening", "screened_by": "auto-v1.0.0" }, { "id": "doi:10.1109/tvt.2023.3323682", "doi": "10.1109/tvt.2023.3323682", "title": "Stochastic Geometry-Based Trajectory Design for Multi-Purpose UAVs: Package and Data Delivery", "year": 2023, "authors": [ "Yujie Qin", "Mustafa A. Kishk", "Mohamed‐Slim Alouini" ], "first_author": "Yujie Qin", "venue": "IEEE Transactions on Vehicular Technology", "volume": "73", "pages": "4136-4150", "type": "article", "language": "en", "abstract": "With the advancements achieved in drones' flexibility, low cost, and high efficiency, they obtain huge application opportunities in various industries, such as aerial delivery and future communication networks. However, the increasing transportation needs and expansion of network capacity demands for UAVs will cause aerial traffic conflicts in the future. To address this issue, in this article, we explore the idea of multi-purpose UAVs, which act as aerial wireless communication data relays and means of aerial transportation simultaneously to deliver data and packages at the same time. While UAVs deliver the packages from warehouses to residential areas, we design their trajectories which enable them to collect data from multiple Internet of Things (IoT) clusters and forward the collected data to terrestrial base stations (TBSs). To select the serving nearby IoT clusters, UAVs rank them based on their priorities and distances. From the perspectives of data and package delivery, respectively, we propose two algorithms that design the optimal UAVs trajectory to maximize the transmitted data or minimize the round trip time. Specifically, we use tools from stochastic geometry to model the locations of IoT clusters and TBSs. Given the nature of random locations, the proposed algorithm applies to general cases. Our numerical results show that multi-purpose UAVs are practical and have great potential to enhance the energy/time-efficiency of future networks.", "keywords": [ "Drone", "Trajectory", "Computer science", "Flexibility (engineering)", "Stochastic geometry", "Base station", "Distributed computing", "Real-time computing", "Computer network" ], "cited_by_openalex": 14, "cited_by_scopus": "17", "eid": "2-s2.0-85174837143", "pii": null, "open_access_url": "https://mural.maynoothuniversity.ie/id/eprint/18623/1/Stochastic_Geometry.pdf", "sources": [ { "db": "openalex", "stream": "UAV", "query_id": "UAV-3" }, { "db": "scopus", "stream": "UAV", "query_id": "UAV-3" } ], "streams": [ "UAV" ], "relevance_signals": [ "UAV" ], "auto_exclude_reason": null, "screening_status": "pending_human_screening", "screened_by": "auto-v1.0.0" }, { "id": "doi:10.1016/j.jclepro.2022.135677", "doi": "10.1016/j.jclepro.2022.135677", "title": "Economic optimization analysis of different electric powertrain technologies for vans applied to last mile delivery fleets", "year": 2023, "authors": [ "Castillo Campo O." ], "first_author": "Castillo Campo O.", "venue": "Journal of Cleaner Production", "volume": "385", "pages": null, "type": "Article", "language": null, "abstract": null, "keywords": [], "cited_by_openalex": 0, "cited_by_scopus": "17", "eid": "2-s2.0-85144818217", "pii": "S0959652622052519", "open_access_url": null, "sources": [ { "db": "scopus", "stream": "TRUCK", "query_id": "TRUCK-1" }, { "db": "scopus", "stream": "TRUCK", "query_id": "TRUCK-3" } ], "streams": [ "TRUCK" ], "relevance_signals": [ "NO_TECHNOLOGY_MATCH" ], "auto_exclude_reason": "EC-4-topic", "screening_status": "auto_excluded", "screened_by": "auto-v1.0.0" }, { "id": "doi:10.1177/03611981221145137", "doi": "10.1177/03611981221145137", "title": "Comparing Regional Energy Consumption for Direct Drone and Truck Deliveries", "year": 2023, "authors": [ "Cokyasar T." ], "first_author": "Cokyasar T.", "venue": "Transportation Research Record", "volume": "2677", "pages": "310-327", "type": "Article", "language": null, "abstract": null, "keywords": [], "cited_by_openalex": 0, "cited_by_scopus": "17", "eid": "2-s2.0-85150170263", "pii": null, "open_access_url": null, "sources": [ { "db": "scopus", "stream": "UAV", "query_id": "UAV-2" } ], "streams": [ "UAV" ], "relevance_signals": [ "UAV_NO_CTX", "TRUCK_NO_CTX" ], "auto_exclude_reason": "EC-4-topic", "screening_status": "auto_excluded", "screened_by": "auto-v1.0.0" }, { "id": "doi:10.1287/msom.2022.0211", "doi": "10.1287/msom.2022.0211", "title": "The Driver-Aide Problem: Coordinated Logistics for Last-Mile Delivery", "year": 2023, "authors": [ "Siranjeevi Srinivasa Raghavan", "Rui Zhang" ], "first_author": "Siranjeevi Srinivasa Raghavan", "venue": "Manufacturing & Service Operations Management", "volume": "26", "pages": "291-311", "type": "article", "language": "en", "abstract": "Problem definition: Last-mile delivery is a critical component of logistics networks, accounting for approximately 30%–35% of costs. As delivery volumes have increased, truck route times have become unsustainably long. To address this issue, many logistics companies, including FedEx and UPS, have resorted to using a “driver aide” to assist with deliveries. The aide can assist the driver in two ways. As a “jumper,” the aide works with the driver in preparing and delivering packages, thus reducing the service time at a given stop. As a “helper,” the aide can independently work at a location delivering packages, and the driver can leave to deliver packages at other locations and then return. Given a set of delivery locations, travel times, service times, jumper’s savings, and helper’s service times, the goal is to determine both the delivery route and the most effective way to use the aide (e.g., sometimes as a jumper and sometimes as a helper) to minimize the total routing time. Methodology/results: We model this problem as an integer program with an exponential number of variables and an exponential number of constraints and propose a branch-cut-and-price approach for solving it. Our computational experiments are based on simulated instances built on real-world data provided by an industrial partner and a data set released by Amazon. The instances based on the Amazon data set show that this novel operation can lead to, on average, a 35.8% reduction in routing time and 22.0% in cost savings. More importantly, our results characterize the conditions under which this novel operation mode can lead to significant savings in terms of both the routing time and cost. Managerial implications: Our computational results show that the driver aide with both jumper and helper modes is most effective when there are denser service regions and when the truck’s speed is higher (≥10 miles per hour). Coupled with an economic analysis, we come up with rules of thumb (that have close to 100% accuracy) to predict whether to use the aide and in which mode. Empirically, we find that the service delivery routes with greater than 50% of the time devoted to delivery (as opposed to driving) are the ones that provide the greatest benefit. These routes are characterized by a high density of delivery locations. Supplemental Material: The e-companion is available at https://doi.org/10.1287/msom.2022.0211 .", "keywords": [ "Last mile (transportation)", "Jumper", "Computer science", "Truck", "Routing (electronic design automation)", "Operations research", "Set (abstract data type)", "Service (business)", "Work (physics)", "Mile", "Operations management", "Transport engineering" ], "cited_by_openalex": 18, "cited_by_scopus": "16", "eid": "2-s2.0-85183331177", "pii": null, "open_access_url": "https://doi.org/10.1287/msom.2022.0211", "sources": [ { "db": "openalex", "stream": "TRUCK", "query_id": "TRUCK-1" }, { "db": "scopus", "stream": "TRUCK", "query_id": "TRUCK-1" } ], "streams": [ "TRUCK" ], "relevance_signals": [ "TRUCK" ], "auto_exclude_reason": null, "screening_status": "pending_human_screening", "screened_by": "auto-v1.0.0" }, { "id": "doi:10.1016/j.cstp.2023.101119", "doi": "10.1016/j.cstp.2023.101119", "title": "Seattle microhub delivery pilot: Evaluating emission impacts and stakeholder engagement", "year": 2023, "authors": [ "Şeyma Güneş", "Travis Fried", "Anne Goodchild" ], "first_author": "Şeyma Güneş", "venue": "Case Studies on Transport Policy", "volume": "15", "pages": null, "type": "article", "language": "en", "abstract": "Urban freight deliveries using microhubs and e-cargo cycles have been gaining attention in cities suffering from congestion and emissions. E-cargo cycle deliveries and microhubs used as transshipment points in urban cores can replace trucks to make cities more livable. This study describes and empirically evaluates an e-cargo tricycle pilot conducted with multi-sector stakeholders in Seattle to report the potential benefits and pitfalls of such practices. The pilot held stakeholder workshop sessions to collect inputs of interest and expectations from the project. Mobile devices used by drivers on e-cargo tricycle and cargo van routes collected delivery data to use for empirical assessment. Total vehicle miles traveled and tailpipe carbon emissions served as performance metrics when comparing e-cargo tricycle and cargo van deliveries. The results showed the net-benefit of the microhub and e-cargo tricycle routes depend on the upstream operations when replenishing packages. The participatory approach to pilot design also provided insights into the factors of a successful pilot, with implications for scaling future e-cargo cycle delivery systems in North American cities. Namely, microhubs’ ability to host alternative revenue sources and value-added services is a boon for long-term financial competitiveness. However, lack of digital/physical infrastructure and work training/regulations specific to e-cargo cycle delivery operations present a barrier.", "keywords": [ "Truck", "Transshipment (information security)", "Transport engineering", "Revenue", "Work (physics)", "Upstream (networking)", "Stakeholder engagement", "Stakeholder", "Business", "Air cargo", "Operations management", "Engineering" ], "cited_by_openalex": 15, "cited_by_scopus": "16", "eid": "2-s2.0-85178016483", "pii": "S2213624X23001736", "open_access_url": "https://doi.org/10.1016/j.cstp.2023.101119", "sources": [ { "db": "openalex", "stream": "TRUCK", "query_id": "TRUCK-1" }, { "db": "openalex", "stream": "TRUCK", "query_id": "TRUCK-2" }, { "db": "scopus", "stream": "TRUCK", "query_id": "TRUCK-1" } ], "streams": [ "TRUCK" ], "relevance_signals": [ "TRUCK" ], "auto_exclude_reason": null, "screening_status": "pending_human_screening", "screened_by": "auto-v1.0.0" }, { "id": "doi:10.1016/j.ejor.2023.04.016", "doi": "10.1016/j.ejor.2023.04.016", "title": "Solving a real-world multi-depot multi-period petrol replenishment problem with complex loading constraints", "year": 2023, "authors": [ "Abderrahman Bani", "Issmaïl El Hallaoui", "Ayoub Insa Corréa", "Adil Tahir" ], "first_author": "Abderrahman Bani", "venue": "European Journal of Operational Research", "volume": "311", "pages": "154-172", "type": "article", "language": "en", "abstract": null, "keywords": [ "Column generation", "Heuristics", "Bottleneck", "Computer science", "Mathematical optimization", "Truck", "Context (archaeology)", "Operations research", "Shortest path problem", "Simulated annealing", "Mathematics", "Theoretical computer science" ], "cited_by_openalex": 14, "cited_by_scopus": "16", "eid": "2-s2.0-85160040453", "pii": "S0377221723002989", "open_access_url": "https://doi.org/10.1016/j.ejor.2023.04.016", "sources": [ { "db": "openalex", "stream": "TRUCK", "query_id": "TRUCK-3" }, { "db": "scopus", "stream": "TRUCK", "query_id": "TRUCK-3" } ], "streams": [ "TRUCK" ], "relevance_signals": [ "TRUCK_NO_CTX" ], "auto_exclude_reason": "EC-4-topic", "screening_status": "auto_excluded", "screened_by": "auto-v1.0.0" }, { "id": "doi:10.1080/23302674.2023.2190474", "doi": "10.1080/23302674.2023.2190474", "title": "Solving a heterogeneous fleet multi-compartment vehicle routing problem:a case study", "year": 2023, "authors": [ "Simos Efthymiadis", "Nikolaos Liapis", "George Nenes" ], "first_author": "Simos Efthymiadis", "venue": "International Journal of Systems Science Operations & Logistics", "volume": "10", "pages": null, "type": "article", "language": "en", "abstract": "Vehicle Routing Problem (VRP) is a complex optimisation problem in the field of supply chain management, especially in the Oil & Gas sector. Due to the rising cost of fuel, effective planning of transportation routes has become a crucial success factor for distribution companies, increasing operational efficiency as well as the corresponding service level. In this paper, we present an optimisation model to solve a heterogeneous fleet multi-compartment vehicle routing problem (MCVRP), a variant of the conventional vehicle routing problem (VRP). Real data are obtained from a medium size oil distribution company, operating in Greece and incorporates 19 petrol stations served from a central oil depot using a fleet of various multi-compartment tanker trucks. The main objective of this research is to design an optimum set of routes minimising distance and truck operating costs. The MCVRP with a heterogeneous fleet of vehicles is modelled as a Mixed-Integer Linear Programming (MILP) problem and the proposed solution determines the number of assigned vehicles, the planning of daily routes and the allocation of different fuels to vehicles compartments, while satisfying customer demand following specific requirements, as detailed in the Carriage of Dangerous Goods (ADR) Regulations.", "keywords": [ "Vehicle routing problem", "Truck", "Fleet management", "Integer programming", "Transport engineering", "Operations research", "Routing (electronic design automation)", "Computer science", "Linear programming", "Fuel efficiency", "Engineering", "Automotive engineering" ], "cited_by_openalex": 13, "cited_by_scopus": "16", "eid": "2-s2.0-85152470080", "pii": null, "open_access_url": "https://doi.org/10.1080/23302674.2023.2190474", "sources": [ { "db": "openalex", "stream": "TRUCK", "query_id": "TRUCK-3" }, { "db": "scopus", "stream": "TRUCK", "query_id": "TRUCK-3" } ], "streams": [ "TRUCK" ], "relevance_signals": [ "TRUCK_NO_CTX" ], "auto_exclude_reason": "EC-4-topic", "screening_status": "auto_excluded", "screened_by": "auto-v1.0.0" }, { "id": "doi:10.3390/a17010004", "doi": "10.3390/a17010004", "title": "Comparing Direct Deliveries and Automated Parcel Locker Systems with Respect to Overall CO2 Emissions for the Last Mile", "year": 2023, "authors": [ "Kai Gutenschwager", "Markus Rabe", "Jorge Chicaiza-Vaca" ], "first_author": "Kai Gutenschwager", "venue": "Algorithms", "volume": "17", "pages": null, "type": "article", "language": "en", "abstract": "Fast growing e-commerce has a significant impact both on CEP providers and public entities. While service providers have the first priority on factors such as costs and reliable service, both are increasingly focused on environmental effects, in the interest of company image and the inhabitants’ health and comfort. Significant additional factors are traffic density, pollution, and noise. While in the past direct delivery with distribution trucks from regional depots to the customers might have been justified, this is no longer valid when taking the big and growing numbers into account. Several options are followed in the literature, especially variants that introduce an additional break in the distribution chain, like local mini-hubs, mobile distribution points, or Automated Parcel Lockers (APLs). The first two options imply a “very last mile” stage, e.g., by small electrical vehicles or cargo bikes, and APLs rely on the customers to operate the very last step. The usage of this schema will significantly depend on the density of the APLs and, thus, on the density of the population within quite small regions. The relationships between the different elements of these technologies and the potential customers are studied with respect to their impact on the above-mentioned factors. A variety of scenarios is investigated, covering different options for customer behaviors. As an additional important point, reported studies with APLs only consider the section up to the APLs and the implied CO2 emission. This, however, fully neglects the potentially very relevant pollution created by the customers when fetching their parcels from the APL. Therefore, in this paper this impact is systematically estimated via a simulation-based sensitivity analysis. It can be shown that taking this very last transport step into account in the calculation significantly changes the picture, especially within areas in outer city districts.", "keywords": [ "Last mile (transportation)", "Truck", "Service provider", "Computer science", "Business", "Population", "Transport engineering", "Service (business)", "Environmental economics", "Mile", "Marketing", "Geography" ], "cited_by_openalex": 17, "cited_by_scopus": "16", "eid": "2-s2.0-85183099729", "pii": null, "open_access_url": "https://www.mdpi.com/1999-4893/17/1/4/pdf?version=1703151759", "sources": [ { "db": "openalex", "stream": "TRUCK", "query_id": "TRUCK-3" }, { "db": "scopus", "stream": "TRUCK", "query_id": "TRUCK-1" }, { "db": "scopus", "stream": "TRUCK", "query_id": "TRUCK-3" } ], "streams": [ "TRUCK" ], "relevance_signals": [ "TRUCK" ], "auto_exclude_reason": null, "screening_status": "pending_human_screening", "screened_by": "auto-v1.0.0" }, { "id": "doi:10.1080/19427867.2023.2237736", "doi": "10.1080/19427867.2023.2237736", "title": "Optimal routing and scheduling of unmanned aerial vehicles for delivery services", "year": 2023, "authors": [ "Shangyao Yan", "Ching-Sheng Sun", "Yi-Hsuan Chen" ], "first_author": "Shangyao Yan", "venue": "Transportation Letters", "volume": "16", "pages": "764-775", "type": "article", "language": "en", "abstract": "In the logistics industry, unmanned aerial vehicles (UAVs) are mostly used for last-mile delivery, in combination with other types of vehicles. There is currently no operator in Taiwan that is completely reliant upon the usage of UAVs for cargo delivery services. Therefore, this study proposes a routing and scheduling model for UAVs by utilizing the network flow technique and mathematical programming methods. All advance requests must be satisfied, and the related operating constraints ensured in the model. The model aims to minimize the total operating cost. To effectively solve large problems that may occur in practice, this study develops a relax-and-fix heuristic. Numerical tests are conducted to preliminarily examine whether the model, coupled with the heuristic algorithm, could be applied in practice. The test results indicate that the proposed model and solution algorithm are effective and thus could be useful for UAV operators to perform delivery routing and scheduling.", "keywords": [ "Computer science", "Scheduling (production processes)", "Vehicle routing problem", "Heuristic", "Routing (electronic design automation)", "Flow network", "Operations research", "Mathematical optimization", "Distributed computing", "Computer network", "Engineering", "Operations management" ], "cited_by_openalex": 15, "cited_by_scopus": "16", "eid": "2-s2.0-85165503440", "pii": null, "open_access_url": "https://doi.org/10.1080/19427867.2023.2237736", "sources": [ { "db": "openalex", "stream": "UAV", "query_id": "UAV-1" }, { "db": "scopus", "stream": "UAV", "query_id": "UAV-1" } ], "streams": [ "UAV" ], "relevance_signals": [ "UAV" ], "auto_exclude_reason": null, "screening_status": "pending_human_screening", "screened_by": "auto-v1.0.0" }, { "id": "doi:10.1109/tvt.2023.3340177", "doi": "10.1109/tvt.2023.3340177", "title": "RL-Based Cargo-UAV Trajectory Planning and Cell Association for Minimum Handoffs, Disconnectivity, and Energy Consumption", "year": 2023, "authors": [ "Nesrine Cherif", "Wael Jaafar", "Halim Yanıkömeroğlu", "Abbas Yongaçoğlu" ], "first_author": "Nesrine Cherif", "venue": "IEEE Transactions on Vehicular Technology", "volume": "73", "pages": "7304-7309", "type": "article", "language": "en", "abstract": "Unmanned aerial vehicle (UAV) is a promising technology for last-mile cargo delivery. However, the limited on-board battery capacity, cellular unreliability, and frequent handoffs in the airspace are the main obstacles to unleash its full potential. Given that existing cellular networks were primarily designed to service ground users, re-utilizing the same architecture for highly mobile aerial users, e.g., cargo-UAVs, is deemed challenging. Indeed, to ensure a safe delivery using cargo-UAVs, it is crucial to utilize the available energy efficiently, while guaranteeing reliable connectivity for command-and-control and avoiding frequent handoff. To achieve this goal, we propose a novel approach for joint cargo-UAV trajectory planning and cell association. Specifically, we formulate the cargo-UAV mission as a multi-objective problem aiming to 1) minimize energy consumption, 2) reduce handoff events, and 3) guarantee cellular reliability along the trajectory. We leverage reinforcement learning (RL) to jointly optimize the cargo-UAV's trajectory and cell association. Simulation results demonstrate a performance improvement of our proposed method, in terms of handoffs, disconnectivity, and energy consumption, compared to benchmarks.", "keywords": [ "Handover", "Energy consumption", "Computer science", "Trajectory", "Base station", "Leverage (statistics)", "Cellular network", "Reliability (semiconductor)", "Computer network", "Real-time computing", "Engineering" ], "cited_by_openalex": 15, "cited_by_scopus": "16", "eid": "2-s2.0-85179802993", "pii": null, "open_access_url": "https://doi.org/10.1109/tvt.2023.3340177", "sources": [ { "db": "openalex", "stream": "UAV", "query_id": "UAV-1" }, { "db": "scopus", "stream": "UAV", "query_id": "UAV-1" } ], "streams": [ "UAV" ], "relevance_signals": [ "UAV" ], "auto_exclude_reason": null, "screening_status": "pending_human_screening", "screened_by": "auto-v1.0.0" }, { "id": "doi:10.1201/9781003261513", "doi": "10.1201/9781003261513", "title": "Urban Freight Analytics", "year": 2023, "authors": [ "Eiichi Taniguchi", "Russell George Thompson", "Ali Gul Qureshi" ], "first_author": "Eiichi Taniguchi", "venue": "Urban Freight Analytics Big Data Models and Artificial Intelligence", "volume": null, "pages": "1-170", "type": "book", "language": "en", "abstract": "Urban Freight Analytics examines the key concepts associated with the development and application of decision support tools for evaluating and implementing city logistics solutions. New analytical methods are required for effectively planning and operating emerging technologies including the Internet of Things (IoT), Information and Communication Technologies (ICT), and Intelligent Transport Systems (ITS). The book provides a comprehensive study of modelling and evaluation approaches to urban freight transport. It includes case studies from Japan, the US, Europe, and Australia that illustrate the experiences of cities that have already implemented city logistics, including analytical methods that address the complex issues associated with adopting advanced technologies such as autonomous vehicles and drones in urban freight transport. Also considered are future directions in urban freight analytics, including hyperconnected city logistics based on the Physical Internet (PI), digital twins, gamification, and emerging technologies such as connected and autonomous vehicles in urban areas. An integrated modelling platform is described that considers multiple stakeholders or agents, including emerging organisations such as PI companies and entities such as crowd-shippers as well as traditional stakeholders such as shippers, receivers, carriers, administrators, and residents. This book Presents procedures for evaluating city logistics technologies and policy measures Provides an overview of advanced modelling approaches, including agent-based model and machine learning Highlights the essential features of optimisation and simulation models applied to city logistics Discusses how models incorporating more uncertainty and dynamic data can be used to improve the sustainability and resilience of urban freight systems The book is ideal for graduate students in civil and environmental engineering and logistics management, urban planners, transport engineers, and logistics specialists.", "keywords": [ "Analytics", "Transport engineering", "Business", "Computer science", "Data science", "Engineering" ], "cited_by_openalex": 6, "cited_by_scopus": "16", "eid": "2-s2.0-85170166347", "pii": null, "open_access_url": "https://doi.org/10.1201/9781003261513", "sources": [ { "db": "openalex", "stream": "UAV", "query_id": "UAV-1" }, { "db": "scopus", "stream": "UAV", "query_id": "UAV-1" } ], "streams": [ "UAV" ], "relevance_signals": [ "UAV" ], "auto_exclude_reason": null, "screening_status": "pending_human_screening", "screened_by": "auto-v1.0.0" }, { "id": "doi:10.3390/rs15245758", "doi": "10.3390/rs15245758", "title": "A Simulation Framework of Unmanned Aerial Vehicles Route Planning Design and Validation for Landslide Monitoring", "year": 2023, "authors": [ "Dongmei Xie", "Ruifeng Hu", "Chisheng Wang", "Chuanhua Zhu", "Hui Xu", "Qipei Li" ], "first_author": "Dongmei Xie", "venue": "Remote Sensing", "volume": null, "pages": null, "type": "article", "language": "en", "abstract": "Unmanned aerial vehicles (UAVs) have emerged as a highly efficient means of monitoring landslide-prone regions, given the growing concern for urban safety and the increasing occurrence of landslides. Designing optimal UAV flight routes is crucial for effective landslide monitoring. However, in real-world scenarios, the testing and validating of flight path planning algorithms incur high cost and safety concerns, making overall flight operations challenging. Therefore, this paper proposes the use of the Unreal Engine simulation framework to design UAV flight path planning specifically for landslide monitoring. It aims to validate the authenticity of the simulated flight paths and the correctness of the algorithms. Under the proposed simulation framework, we then test a novel flight path planning algorithm. The simulation results demonstrate that the model reconstruction obtained using the novel flight path algorithm exhibits more detailed textures, with a 3D model simulation accuracy ranging from 10 to 14 cm. Among them, the RMSE value of the novel flight route algorithm falls within the range of 10 to 11 cm, exhibiting a 2 to 3 cm improvement in accuracy compared to the traditional flight path algorithm. Additionally, it effectively reduces the flight duration by 9.3% under the same flight path compared to conventional methods. The results confirm that the simulation framework developed in this paper meets the requirements for landslide damage monitoring and validates the feasibility and correctness of the UAV flight path planning algorithm.", "keywords": [ "Correctness", "Computer science", "Landslide", "Motion planning", "Path (computing)", "Range (aeronautics)", "Flight test", "Flight safety", "Real-time computing", "Simulation", "Flight planning", "Algorithm" ], "cited_by_openalex": 16, "cited_by_scopus": 0, "eid": null, "pii": null, "open_access_url": "https://doi.org/10.3390/rs15245758", "sources": [ { "db": "openalex", "stream": "UAV", "query_id": "UAV-2" } ], "streams": [ "UAV" ], "relevance_signals": [ "UAV_NO_CTX" ], "auto_exclude_reason": "EC-4-topic", "screening_status": "auto_excluded", "screened_by": "auto-v1.0.0" }, { "id": "doi:10.1080/24725579.2023.2268113", "doi": "10.1080/24725579.2023.2268113", "title": "Designing drone delivery networks for vaccine supply chain: a case study of Niger", "year": 2023, "authors": [ "Sandra D. Ekşioğlu", "Rubén A. Proaño", "Maximilian Kolter", "Sarah Nurre Pinkley" ], "first_author": "Sandra D. Ekşioğlu", "venue": "IISE Transactions on Healthcare Systems Engineering", "volume": "14", "pages": "193-213", "type": "article", "language": "en", "abstract": "This research aims to evaluate the use of drones to deliver pediatric vaccines in remote areas of low-income and low-middle-income countries. Delivering vaccines in these regions is challenging because of the inadequate road networks and long transportation distances that make it difficult to maintain the cold chain’s integrity during delivery. We propose a mixed-integer linear program to determine the location of drone hubs to facilitate vaccine delivery. The model considers the operational attributes of drones, vaccine wastage in the supply chain, cold storage, and transportation capacities. We develop a case study using data from Niger to determine the impact of drone deliveries in improving vaccine availability. Based on our numerical analysis, regional centers should be considered potential locations for drone hubs. We demonstrate that outreach sessions supported by drone deliveries of vaccines can improve vaccine availability. These improvements depend on the available budget to build drone hubs and purchase drones, available cold storage capacity, and the population density in the study region.", "keywords": [ "Drone", "Cold chain", "Outreach", "Supply chain", "Business", "Population", "Computer science", "Marketing", "Engineering", "Economics", "Environmental health", "Medicine" ], "cited_by_openalex": 17, "cited_by_scopus": "16", "eid": "2-s2.0-85175489410", "pii": null, "open_access_url": "https://doi.org/10.1080/24725579.2023.2268113", "sources": [ { "db": "openalex", "stream": "UAV", "query_id": "UAV-3" }, { "db": "scopus", "stream": "UAV", "query_id": "UAV-3" }, { "db": "scopus", "stream": "UAV", "query_id": "UAV-3" } ], "streams": [ "UAV" ], "relevance_signals": [ "UAV_NO_CTX" ], "auto_exclude_reason": "EC-4-topic", "screening_status": "auto_excluded", "screened_by": "auto-v1.0.0" }, { "id": "doi:10.1016/j.ejor.2023.09.031", "doi": "10.1016/j.ejor.2023.09.031", "title": "Multi-attribute two-echelon location routing: Formulation and dynamic discretization discovery approach", "year": 2023, "authors": [ "David Escobar-Vargas", "Teodor Gabriel Crainic" ], "first_author": "David Escobar-Vargas", "venue": "European Journal of Operational Research", "volume": "314", "pages": "66-78", "type": "article", "language": "en", "abstract": null, "keywords": [ "Computer science", "Scheduling (production processes)", "Vehicle routing problem", "Transshipment (information security)", "Routing (electronic design automation)", "Discretization", "Integer programming", "Operations research", "Synchronization (alternating current)", "Job shop scheduling", "Mathematical optimization", "Distributed computing" ], "cited_by_openalex": 17, "cited_by_scopus": "15", "eid": "2-s2.0-85174004989", "pii": "S0377221723007476", "open_access_url": "https://doi.org/10.1016/j.ejor.2023.09.031", "sources": [ { "db": "openalex", "stream": "TRUCK", "query_id": "TRUCK-2" }, { "db": "scopus", "stream": "TRUCK", "query_id": "TRUCK-2" } ], "streams": [ "TRUCK" ], "relevance_signals": [ "NO_TECHNOLOGY_MATCH" ], "auto_exclude_reason": "EC-4-topic", "screening_status": "auto_excluded", "screened_by": "auto-v1.0.0" }, { "id": "doi:10.1109/tevc.2023.3344350", "doi": "10.1109/tevc.2023.3344350", "title": "Locating Drone Stations for a Truck-Drone Delivery System in Continuous Space", "year": 2023, "authors": [ "Lingyun Zhou", "Daniel F. Silva", "Alice E. Smith" ], "first_author": "Lingyun Zhou", "venue": "IEEE Transactions on Evolutionary Computation", "volume": "29", "pages": "158-171", "type": "article", "language": "en", "abstract": "Truck-drone delivery systems have been proposed for sustainable and economical last-mile distribution, especially in urban environments. To widen the service range, some works have recommended adding facilities such as drone stations, considering the problem in discrete space by choosing from a pre-defined set. In this paper, an evolutionary optimization approach to the design decision of where to locate drone stations in the continuous plane is introduced, modeled, and solved. Drone stations serve as facilities for storage, charging, and launching. A truck (or other land transport means) transports parcels to the drone stations from a depot and the drones launch from the stations and deliver the parcels to each customer. The objective is to determine the positions of the drone stations in two-dimensional space and establish the shortest fixed truck route from the depot through all the stations and returning to the depot. The problem is constrained by the radius of service for each drone and all customers must be served, if possible. We formulate the problem as a constrained nonlinear optimization problem and present two versions of an algorithm using particle swarm optimization with a subordinate dynamic program. Computational results show that our approach achieves much better results than a standard commercial nonlinear solver in a similar amount of computational time for both maximizing coverage of customers and minimizing distance of the truck delivery route. A design case study concerning healthcare delivery throughout the Birmingham, Alabama (USA) metropolitan area is provided.", "keywords": [ "Drone", "Truck", "Computer science", "Particle swarm optimization", "Last mile (transportation)", "Solver", "Metropolitan area", "Travelling salesman problem", "Operations research", "Real-time computing", "Transport engineering", "Engineering" ], "cited_by_openalex": 18, "cited_by_scopus": "15", "eid": "2-s2.0-85181578884", "pii": null, "open_access_url": "https://doi.org/10.1109/tevc.2023.3344350", "sources": [ { "db": "openalex", "stream": "TRUCK", "query_id": "TRUCK-3" }, { "db": "openalex", "stream": "UAV", "query_id": "UAV-1" }, { "db": "scopus", "stream": "TRUCK", "query_id": "TRUCK-3" }, { "db": "scopus", "stream": "UAV", "query_id": "UAV-1" } ], "streams": [ "TRUCK", "UAV" ], "relevance_signals": [ "UAV", "TRUCK" ], "auto_exclude_reason": null, "screening_status": "pending_human_screening", "screened_by": "auto-v1.0.0" }, { "id": "doi:10.31181/dmame622023640", "doi": "10.31181/dmame622023640", "title": "Providing an integrated multi-depot vehicle routing problem model with simultaneous pickup and delivery and package layout under uncertainty with fuzzy-robust box optimization method", "year": 2023, "authors": [ "Mohammad Khodashenas", "Esmaeil Najafi", "Hamed Kazemipoor", "M. Sobhani" ], "first_author": "Mohammad Khodashenas", "venue": "Decision Making Applications in Management and Engineering", "volume": "6", "pages": "372-403", "type": "article", "language": "en", "abstract": "This paper modeled and solved an integrated multi-depot vehicle routing problem (MDVRP) with simultaneous pickup and delivery (SPD) with package layout under unpredictable pickup, delivery, and transfer costs. The model described in this paper is divided into two stages. In the first stage, the SCA algorithm is used to optimize the package dimensions (a collection of commodities consumers need). The NSGA II and MOALO algorithms are used in the second stage to optimize the three objective functions of 1 simultaneously) minimizing total costs, 2) minimizing co2 emissions, and 3) minimizing the maximum working hours of drivers based on the optimal dimensions (length, width, and height) obtained from solving the first stage model. Determining the quantity and ideal location of possible warehouses, the best route for trucks to take to deliver and collect customer items, and the distribution of customers to warehouses are the key goals of the second stage. Since the model is unclear, the problem's uncertainty parameters are controlled using a novel fuzzy-robust box optimization (FRBO) technique. This technique, which combines the advantages of fuzzy programming with robust box-based optimization, produces excellent results when used to optimize objective functions. The numerical calculations in the numerical example show that the total network costs and CO2 emissions increased in the second stage in the presented model with an increasing uncertainty rate. At the same time, the maximum working hours of drivers decreased due to the shortened communication route and the number of vehicles increasing. Finally, the MOALO algorithm was used to resolve a case study at Safir Broadcasting Company because of its excellent efficiency in resolving the created model, the findings of which revealed the presence of 13 potential effective solutions. The quantity of greenhouse gas emissions rose by 1.11%, the overall expenditures climbed by 1.72%, and the number of hours that drivers worked fell by 11.98% when the uncertainty rate was raised from 0.5 to 0.7, according to research on the FRBO.", "keywords": [ "Pickup", "Mathematical optimization", "Truck", "Fuzzy logic", "Vehicle routing problem", "Computer science", "Routing (electronic design automation)", "Key (lock)", "Robust optimization", "Operations research", "Engineering", "Automotive engineering" ], "cited_by_openalex": 9, "cited_by_scopus": "15", "eid": "2-s2.0-85167972944", "pii": null, "open_access_url": "http://www.dmame-journal.org/index.php/dmame/article/download/640/168", "sources": [ { "db": "openalex", "stream": "TRUCK", "query_id": "TRUCK-3" }, { "db": "scopus", "stream": "TRUCK", "query_id": "TRUCK-3" } ], "streams": [ "TRUCK" ], "relevance_signals": [ "TRUCK_NO_CTX" ], "auto_exclude_reason": "EC-4-topic", "screening_status": "auto_excluded", "screened_by": "auto-v1.0.0" }, { "id": "doi:10.1186/s41072-023-00146-9", "doi": "10.1186/s41072-023-00146-9", "title": "Automation in cargo loading/unloading processes: do unmanned loading technologies bring benefits when both purchase and operational cost are considered?", "year": 2023, "authors": [ "Valentin Carlan", "David Ceulemans", "Edwin van Hassel", "Stijn Derammelaere", "Thierry Vanelslander" ], "first_author": "Valentin Carlan", "venue": "Journal of Shipping and Trade", "volume": "8", "pages": null, "type": "article", "language": "en", "abstract": "Abstract The use of technologies that automate handling goods and loading units in warehouses and depots is not new. Yet, the purchase process of these technologies issues troubles and the estimation of the economic advantages brought by one or another technology to the entire chain of operations in logistics are not always known. Faults or not documented decisions put pressure on managers and prices for services. They can cause a drop in the competitiveness of warehouse operators, particularly in uncertain conditions. Academia documented the cost of warehouse storage well. Yet, little research has looked into the economic justification of implementing automatic systems for loading or unloading activities and the impact on complementary operations. For this reason, a model is needed to calculate the cost of operations when different technical equipment is used. This research further investigates the cost categories that must be considered when purchasing automated loading/unloading technologies. The model includes the purchase and operational loading costs that new technologies generate and the cost of adjacent operations to loading activity. The case study uses forklifts as the reference scenario and provides an overview of the return on investment and a break-even period when other technologies are in use. The calculation model shows that increasing cargo volume leads to a better RoI. The same observation is also made regarding the rise in labour costs. For the latter, using human operators to handle pallets on a one-by-one basis generates an exponential increase in operational cost due to delays and faults. On the other side, the cost of implementing automated loading/unloading technologies and the consideration of technology risk determine the low economic advantages. An in-depth cost and benefit analysis shows in which situation a technology generates greater benefits. Further results of this paper show that better use of trucks' loading capacity can positively impact the financial performance of automated loading technologies, as a higher volume of cargo is moved (at once) without human intervention.", "keywords": [ "Pallet", "Purchasing", "Automation", "Process (computing)", "Operational costs", "Operations research", "Computer science", "Finished good", "Investment (military)", "Emerging technologies", "Operations management", "Risk analysis (engineering)" ], "cited_by_openalex": 21, "cited_by_scopus": "15", "eid": "2-s2.0-85179314701", "pii": null, "open_access_url": "https://jshippingandtrade.springeropen.com/counter/pdf/10.1186/s41072-023-00146-9", "sources": [ { "db": "openalex", "stream": "TRUCK", "query_id": "TRUCK-3" }, { "db": "scopus", "stream": "TRUCK", "query_id": "TRUCK-3" } ], "streams": [ "TRUCK" ], "relevance_signals": [ "TRUCK_NO_CTX" ], "auto_exclude_reason": "EC-4-topic", "screening_status": "auto_excluded", "screened_by": "auto-v1.0.0" }, { "id": "doi:10.1016/j.scs.2023.104641", "doi": "10.1016/j.scs.2023.104641", "title": "E-trikes for urban delivery: An empirical mixed-fleet simulation approach to assess city logistics sustainability", "year": 2023, "authors": [ "Azad M." ], "first_author": "Azad M.", "venue": "Sustainable Cities and Society", "volume": "96", "pages": null, "type": "Article", "language": null, "abstract": null, "keywords": [], "cited_by_openalex": 0, "cited_by_scopus": "15", "eid": "2-s2.0-85159607463", "pii": "S2210670723002524", "open_access_url": null, "sources": [ { "db": "scopus", "stream": "TRUCK", "query_id": "TRUCK-1" }, { "db": "scopus", "stream": "TRUCK", "query_id": "TRUCK-3" } ], "streams": [ "TRUCK" ], "relevance_signals": [ "NO_TECHNOLOGY_MATCH" ], "auto_exclude_reason": "EC-4-topic", "screening_status": "auto_excluded", "screened_by": "auto-v1.0.0" }, { "id": "doi:10.3390/s23146432", "doi": "10.3390/s23146432", "title": "Heuristics and Learning Models for Dubins MinMax Traveling Salesman Problem", "year": 2023, "authors": [ "Nayak A." ], "first_author": "Nayak A.", "venue": "Sensors", "volume": "23", "pages": null, "type": "Article", "language": null, "abstract": null, "keywords": [], "cited_by_openalex": 0, "cited_by_scopus": "15", "eid": "2-s2.0-85165977793", "pii": null, "open_access_url": null, "sources": [ { "db": "scopus", "stream": "UAV", "query_id": "UAV-2" } ], "streams": [ "UAV" ], "relevance_signals": [ "NO_TECHNOLOGY_MATCH" ], "auto_exclude_reason": "EC-4-topic", "screening_status": "auto_excluded", "screened_by": "auto-v1.0.0" }, { "id": "doi:10.1016/j.ijtst.2023.08.005", "doi": "10.1016/j.ijtst.2023.08.005", "title": "Modeling freight truck-related traffic crash hazards with uncertainties: A framework of interpretable Bayesian neural network with stochastic variational inference", "year": 2023, "authors": [ "Quan Yuan", "Haocheng Lin", "Chengcheng Yu", "Chao Yang" ], "first_author": "Quan Yuan", "venue": "International Journal of Transportation Science and Technology", "volume": "15", "pages": "181-197", "type": "article", "language": "en", "abstract": "Due to the increasing demand for goods movement, externalities from freight mobility have attracted much concern among local citizens and policymakers. Freight truck-related crash is one of these externalities and impacts urban freight transportation most drastically. Previous studies have mainly focused on correlation analysis of influencing factors based on crash density/count data but have paid little attention to the inherent uncertainty of freight truck-related crashes from a spatial perspective. While establishing an interpretable analysis model for freight truck-related accidents that considers uncertainty is of great significance for promoting the robust development of urban freight transportation systems. Hence, this study proposes the concept of freight truck-related crash hazard (FTCH) and employs the Bayesian neural network model based on stochastic variational inference to model uncertainty. Considering the difficulty of interpreting deep learning-based models, this study introduces the LIME model into the analysis framework to explain the results of the neural network model. This study then verifies the feasibility of the proposed analysis framework using data from California from 2011 to 2020. Results show that FTCHs can be effectively modeled by predicting confidence intervals for effects of built environment factors, in particular demographics, land use, and road network structure. Results based on LIME values indicate the spatial heterogeneity in influence mechanisms on FTCHs between areas within the metropolitan regions and alongside the freeways. These findings may help transport planners and logistic managers develop more effective measures to avoid potential negative effects brought by freight truck-related crash hazards in local communities.", "keywords": [ "Truck", "Crash", "Transport engineering", "Bayesian inference", "Metropolitan area", "Externality", "Hazard", "Inference", "Computer science", "Bayesian probability", "Transshipment (information security)", "Econometrics" ], "cited_by_openalex": 18, "cited_by_scopus": "14", "eid": "2-s2.0-85171680021", "pii": "S2046043023000734", "open_access_url": "https://doi.org/10.1016/j.ijtst.2023.08.005", "sources": [ { "db": "openalex", "stream": "TRUCK", "query_id": "TRUCK-1" }, { "db": "scopus", "stream": "TRUCK", "query_id": "TRUCK-1" } ], "streams": [ "TRUCK" ], "relevance_signals": [ "TRUCK" ], "auto_exclude_reason": null, "screening_status": "pending_human_screening", "screened_by": "auto-v1.0.0" }, { "id": "doi:10.1016/j.ejor.2023.07.014", "doi": "10.1016/j.ejor.2023.07.014", "title": "A flow based formulation and a reinforcement learning based strategic oscillation for cross-dock door assignment", "year": 2023, "authors": [ "Mingjie Li", "Jin‐Kao Hao", "Qinghua Wu" ], "first_author": "Mingjie Li", "venue": "European Journal of Operational Research", "volume": "312", "pages": "473-492", "type": "article", "language": "en", "abstract": null, "keywords": [ "Computer science", "Mathematical optimization", "Heuristic", "Benchmark (surveying)", "Reinforcement learning", "Tabu search", "GRASP", "Integer programming", "Algorithm", "Mathematics", "Artificial intelligence" ], "cited_by_openalex": 18, "cited_by_scopus": "14", "eid": "2-s2.0-85166262968", "pii": "S0377221723005520", "open_access_url": "https://doi.org/10.1016/j.ejor.2023.07.014", "sources": [ { "db": "openalex", "stream": "TRUCK", "query_id": "TRUCK-3" }, { "db": "scopus", "stream": "TRUCK", "query_id": "TRUCK-3" } ], "streams": [ "TRUCK" ], "relevance_signals": [ "NO_TECHNOLOGY_MATCH" ], "auto_exclude_reason": "EC-4-topic", "screening_status": "auto_excluded", "screened_by": "auto-v1.0.0" }, { "id": "doi:10.3390/su151511588", "doi": "10.3390/su151511588", "title": "Leveraging Drone Technology for Last-Mile Deliveries in the e-Tailing Ecosystem", "year": 2023, "authors": [ "Hokey Min" ], "first_author": "Hokey Min", "venue": "Sustainability", "volume": "15", "pages": null, "type": "article", "language": "en", "abstract": "The extended lockdown and limited in-person interactions resulting from the COVID-19 pandemic have radically changed many consumers’ shopping behavior. These changes include a rapid rise in online shopping, leading to the fast growth of e-logistics. As the popularity of e-logistics has spread worldwide, many retailers’ success hinges on their ability to deliver products to their consumers’ doorsteps. This ability cannot be nurtured without handling last-mile delivery services in a cost-efficient and sustainable way. However, last-mile delivery services pose unique and complex challenges since they require individual, door-to-door services that limit the opportunity to consolidate small shipments into large ones and thus increase cost burdens for retailers selling products online. These challenges call for new, innovative ways of managing last-mile delivery services. Such practices include utilizing emerging drone technology that allows retailers to deliver products from point to point ubiquitously without a pilot, driver, or vehicle consuming too much fossil fuel. This paper is one of the first studies to develop viable strategic plans for commercializing drone technology in the e-tailing ecosystem using visual decision-aid tools and performance management systems.", "keywords": [ "Drone", "Last mile (transportation)", "Popularity", "Mile", "Business", "Best practice", "Marketing", "Geography" ], "cited_by_openalex": 16, "cited_by_scopus": "14", "eid": "2-s2.0-85167786136", "pii": null, "open_access_url": "https://www.mdpi.com/2071-1050/15/15/11588/pdf?version=1690438337", "sources": [ { "db": "openalex", "stream": "UAV", "query_id": "UAV-1" }, { "db": "scopus", "stream": "UAV", "query_id": "UAV-1" } ], "streams": [ "UAV" ], "relevance_signals": [ "UAV" ], "auto_exclude_reason": null, "screening_status": "pending_human_screening", "screened_by": "auto-v1.0.0" }, { "id": "doi:10.3390/app13031842", "doi": "10.3390/app13031842", "title": "A Logistics UAV Parcel-Receiving Station and Public Air-Route Planning Method Based on Bi-Layer Optimization", "year": 2023, "authors": [ "Honghai Zhang", "Fei Wang", "Dikun Feng", "Sen Du", "Gang Zhong", "Cheng Dan Deng", "Ji Zhou" ], "first_author": "Honghai Zhang", "venue": "Applied Sciences", "volume": "13", "pages": null, "type": "article", "language": "en", "abstract": "The popularity of unmanned aerial vehicle (UAV) technology has made UAV logistics transportation possible. However, based on the current development status of logistics UAVs, there are difficulties in using UAVs directly for door-to-door logistics transportation. Therefore, it is necessary to establish UAV parcel-receiving stations that can gather logistics needs in a small area. The construction of stations allows the UAVs to transport back and forth between the distribution warehouse and the established stations, enabling customers to send and receive packages at the more convenient stations. Based on the current situation, it is a more appropriate air–ground cooperative transport mode to solve the “last-mile” cargo transportation problem. In this paper, a bi-layer UAV parcel-receiving station and public air-route planning method is proposed to explore the interaction between station location and public route planning, and is solved with a genetic algorithm and max–min ant system (GA-MMAS). The model proposed in this paper can determine the location of the stations and plan the public air routes between the warehouse and stations simultaneously. Simulation results show that the planning results of the bi-layer optimization model proposed in this paper meet the requirements of station location and public air-route planning. Compared with the layered planning results, the cost of the upper-layer model is reduced by 5.12% on average, and the cost of the lower-layer model is reduced by 4.48%.", "keywords": [ "Transport engineering", "Public transport", "Plan (archaeology)", "Route planning", "Computer science", "Genetic algorithm", "Operations research", "Popularity", "Engineering", "Geography" ], "cited_by_openalex": 14, "cited_by_scopus": "14", "eid": "2-s2.0-85147869096", "pii": null, "open_access_url": "https://www.mdpi.com/2076-3417/13/3/1842/pdf?version=1675168261", "sources": [ { "db": "openalex", "stream": "UAV", "query_id": "UAV-1" }, { "db": "scopus", "stream": "UAV", "query_id": "UAV-1" } ], "streams": [ "UAV" ], "relevance_signals": [ "UAV" ], "auto_exclude_reason": null, "screening_status": "pending_human_screening", "screened_by": "auto-v1.0.0" }, { "id": "doi:10.1002/net.22176", "doi": "10.1002/net.22176", "title": "The multi‐purpose K‐drones general routing problem", "year": 2023, "authors": [ "James F. Campbell", "Ángel Corberán", "Isaac Plana", "José María Sanchis", "Paula Segura" ], "first_author": "James F. Campbell", "venue": "Networks", "volume": "82", "pages": "437-458", "type": "article", "language": "en", "abstract": "Abstract In this article, we present and solve the multi‐purpose ‐drones general routing problem (MP ‐DGRP). In this optimization problem, a fleet of multi‐purpose drones, aerial vehicles that can both make deliveries and conduct sensing activities (e.g., imaging), have to jointly visit a set of nodes to make deliveries and map one or more continuous areas. This problem is motivated by global healthcare applications that deploy multipurpose drones that combine delivery trips with collection of aerial imaging data for use in emergency preparedness and resilience planning. The continuous areas that have to be mapped may correspond to terrain surfaces (e.g., flooded areas or regions with a disease outbreak) or to infrastructure networks to be inspected. The continuous areas can be modeled as a set of lines so that each area is completely serviced if all the lines covering it are traversed. Thus, given a set of nodes and a set of lines, the problem is to design drone routes of shortest total duration traversing the lines and visiting the nodes, while not exceeding the range limit (flight time) and capacity (loading) of the drones. Unlike ground vehicles in classical routing problems, drones can enter a line through any of its points, service only a part of that line and then exit through another of its points. The possibility of flying directly between any two points of the network offered by drones can lead to reduced costs, but it increases the difficulty of the problem. To deal with this problem, the lines are discretized, allowing drones to enter and exit each line only at a finite set of points, thus obtaining an instance of the ‐vehicles general routing problem (‐GRP). We present in this article an integer programming formulation for the ‐GRP and propose a matheuristic algorithm and a branch‐and‐cut procedure for its solution. Results are provided for problems with up to 20 deliveries and up to 28 continuous areas.", "keywords": [ "Drone", "Routing (electronic design automation)", "Computer science", "Resilience (materials science)", "Terrain", "Operations research", "Set (abstract data type)", "Line (geometry)", "Real-time computing", "Computer network", "Geography", "Mathematics" ], "cited_by_openalex": 14, "cited_by_scopus": "14", "eid": "2-s2.0-85165451782", "pii": null, "open_access_url": "https://onlinelibrary.wiley.com/doi/pdfdirect/10.1002/net.22176", "sources": [ { "db": "openalex", "stream": "UAV", "query_id": "UAV-2" }, { "db": "scopus", "stream": "UAV", "query_id": "UAV-2" } ], "streams": [ "UAV" ], "relevance_signals": [ "UAV_NO_CTX" ], "auto_exclude_reason": "EC-4-topic", "screening_status": "auto_excluded", "screened_by": "auto-v1.0.0" }, { "id": "doi:10.3390/s23239540", "doi": "10.3390/s23239540", "title": "Intelligent Drone Swarms to Search for Victims in Post-Disaster Areas", "year": 2023, "authors": [ "Matheus Nohra Haddad", "Andréa Cynthia Santos", "Christophe Didier Duhamel", "Amadeu Almeida Coco" ], "first_author": "Matheus Nohra Haddad", "venue": "Sensors", "volume": "23", "pages": null, "type": "article", "language": "en", "abstract": "This study presents the Drone Swarms Routing Problem (DSRP), which consists of identifying the maximum number of victims in post-disaster areas. The post-disaster area is modeled in a complete graph, where each search location is represented by a vertex, and the edges are the shortest paths between destinations, with an associated weight, corresponding to the battery consumption to fly to a location. In addition, in the DSRP addressed here, a set of drones are deployed in a cooperative drone swarms approach to boost the search. In this context, a V-shaped formation is applied with leader replacements, which allows energy saving. We propose a computation model for the DSRP that considers each drone as an agent that selects the next search location to visit through a simple and efficient method, the Drone Swarm Heuristic. In order to evaluate the proposed model, scenarios based on the Beirut port explosion in 2020 are used. Numerical experiments are presented in the offline and online versions of the proposed method. The results from such scenarios showed the efficiency of the proposed approach, attesting not only the coverage capacity of the computational model but also the advantage of adopting the V-shaped formation flight with leader replacements.", "keywords": [ "Drone", "Computer science", "Search and rescue", "Swarm behaviour", "Context (archaeology)", "Heuristic", "Set (abstract data type)", "Computation", "Vertex (graph theory)", "Shortest path problem", "Mathematical optimization", "Operations research" ], "cited_by_openalex": 14, "cited_by_scopus": "14", "eid": "2-s2.0-85179177189", "pii": null, "open_access_url": "https://www.mdpi.com/1424-8220/23/23/9540/pdf?version=1701419693", "sources": [ { "db": "openalex", "stream": "UAV", "query_id": "UAV-2" }, { "db": "scopus", "stream": "UAV", "query_id": "UAV-2" } ], "streams": [ "UAV" ], "relevance_signals": [ "UAV_NO_CTX" ], "auto_exclude_reason": "EC-4-topic", "screening_status": "auto_excluded", "screened_by": "auto-v1.0.0" }, { "id": "doi:10.1109/mrs60187.2023.10416777", "doi": "10.1109/mrs60187.2023.10416777", "title": "Optimizing Fuel-Constrained UAV-UGV Routes for Large Scale Coverage: Bilevel Planning in Heterogeneous Multi-Agent Systems", "year": 2023, "authors": [ "Md Safwan Mondal", "Subramanian Ramasamy", "James D. Humann", "Jean-Paul Reddinger", "James M. Dotterweich", "Marshal Childers", "Pranav A. Bhounsule" ], "first_author": "Md Safwan Mondal", "venue": "2023 International Symposium on Multi Robot and Multi Agent Systems MRS 2023", "volume": null, "pages": "114-120", "type": "conference-paper", "language": "en", "abstract": "Fast moving unmanned aerial vehicles (UAVs) are well suited for aerial surveillance, but are limited by their battery capacity. To increase their endurance, UAVs can be refueled on slow moving unmanned ground vehicles (UGVs). This cooperative routing of UAV-UGV multi-agent system to survey vast regions within their speed and fuel constraints is a computationally challenging problem, but can be simplified with heuristics. In this study, we utilize heuristic approaches to obtain feasible and near-optimal solutions to the problem, leveraging the fuel limitations of the UAV with the minimum set cover algorithm to identify the UGV refueling points. These refueling stops enable the allocation of mission points to the UAV and UGV. A standard traveling salesman formulation and a vehicle routing formulation with time windows, dropped visits, and capacity constraints are used to solve for the UGV and UAV route, respectively. Experimental validation on a small-scale testbed (http://tiny.cc/vancvz) underscores the effectiveness of our multi-agent approach.", "keywords": [ "Testbed", "Computer science", "Heuristics", "Unmanned ground vehicle", "Travelling salesman problem", "Heuristic", "Routing (electronic design automation)", "Scale (ratio)", "Real-time computing", "Simulation", "Artificial intelligence", "Embedded system" ], "cited_by_openalex": 10, "cited_by_scopus": "14", "eid": "2-s2.0-85185881933", "pii": null, "open_access_url": "https://doi.org/10.1109/mrs60187.2023.10416777", "sources": [ { "db": "openalex", "stream": "UAV", "query_id": "UAV-2" }, { "db": "scopus", "stream": "UAV", "query_id": "UAV-2" } ], "streams": [ "UAV" ], "relevance_signals": [ "UAV_NO_CTX" ], "auto_exclude_reason": "EC-4-topic", "screening_status": "auto_excluded", "screened_by": "auto-v1.0.0" }, { "id": "doi:10.1117/12.2665844", "doi": "10.1117/12.2665844", "title": "Deep learning-based heterogeneous system for autonomous navigation", "year": 2023, "authors": [ "Timothy Sellers", "Tingjun Lei", "Daniel W. Carruth", "Chaomin Luo" ], "first_author": "Timothy Sellers", "venue": "Proceedings of SPIE the International Society for Optical Engineering", "volume": "12539", "pages": null, "type": "conference-abstract", "language": "en", "abstract": "In order to face the everyday growing population in today’s world, the deployment of autonomous vehicles is a promising direction for precision agriculture. Autonomous vehicles (AVs) have been developed and deployed for various agricultural needs such as field planting, harvesting, soil collection, and crop data collection. One method of achieving those task is complete coverage path planning (CCPP), which constructs a continuous path that covers a wide area of interest. However, in a large farm with multiple fields, those tasks have been extremely complicated and computationally expensive on a navigation system when utilizing a single AV. A heterogeneous system is proposed to sense the fields and solve the navigation and routing problem within multi-field path planning. We developed a deep learning-based routing scheme for Unmanned Aerial Vehicles (UAVs) to sense mature crops for harvest. The deep learning routing scheme utilizes a goal embedding feature and coordinate position feature to generate an optimal path for the Unmanned Aerial Vehicles, which allows them to find several candidate solutions. A deep learning-based complete coverage path planning (DL-CCPP) navigation scheme is also proposed for our Unmanned Ground Vehicle (UGVs) to navigate through the fields and collect the mature crops within them. The DL-CCPP uses UAV’s images in its deep learning network to construct the CCPP path from the AV coordinates.", "keywords": [ "Computer science", "Motion planning", "Real-time computing", "Artificial intelligence", "Routing (electronic design automation)", "Software deployment", "Population", "Deep learning", "Path (computing)", "Distributed computing", "Computer network", "Robot" ], "cited_by_openalex": 17, "cited_by_scopus": "14", "eid": "2-s2.0-85169506629", "pii": null, "open_access_url": "https://doi.org/10.1117/12.2665844", "sources": [ { "db": "openalex", "stream": "UAV", "query_id": "UAV-2" }, { "db": "scopus", "stream": "UAV", "query_id": "UAV-2" } ], "streams": [ "UAV" ], "relevance_signals": [ "UAV_NO_CTX" ], "auto_exclude_reason": "EC-4-topic", "screening_status": "auto_excluded", "screened_by": "auto-v1.0.0" }, { "id": "doi:10.3390/su16010044", "doi": "10.3390/su16010044", "title": "The Location Problem of Medical Drone Vertiports for Emergency Cardiac Arrest Needs", "year": 2023, "authors": [ "Xinhui Ren", "Ruibo Li" ], "first_author": "Xinhui Ren", "venue": "Sustainability", "volume": "16", "pages": null, "type": "article", "language": "en", "abstract": "The implementation of medical drones can quickly and efficiently expand the coverage range of an area, allowing for a faster response to incidences of out-of-hospital cardiac arrest and improving the subsequent survival rate of such incidences, while promoting sustainable health development goals under the configuration standards for automatic external defibrillators in China. In response to the problem of the selection of locations for medical drone vertiports (for take-off and landing) that are equipped with automatic external defibrillation facilities, a survival function was introduced to establish a model for site selection, with the primary optimization objective of maximizing the average survival rate of patients and taking the operating costs of a system into account. At the same time, considering the constraints of drone phase operation time, energy consumption, coverage range, etc., a medical drone vertiport site selection model was established for emergency cardiac arrest needs. An improved immune algorithm was applied to the model’s calculations and the analysis of the results, using the Jinnan District in Tianjin as an example. The results show that the proposed model and algorithm are feasible and applicable. The Jinnan District in the city of Tianjin requires a total of 24 medical drone vertiports in order to achieve full coverage of an area under the “golden 4-minute” rescue time. When the average survival rate of patients is 0.9, the operation results are deemed optimal, and the average survival rate of patients is 64.06%. Compared to ground ambulances currently used in hospitals, the implementation of medical drones could significantly shorten response time, improve the average survival rate of patients by 41.96%, and effectively improve the existing low survival rate and the accessibility of medical services. The results of this study can provide decision-making support for the planning of automatic external defibrillators in public places and the construction of sustainable and efficient emergency medical service systems.", "keywords": [ "Drone", "Selection (genetic algorithm)", "Defibrillation", "Computer science", "Range (aeronautics)", "Operations research", "Function (biology)", "Medical emergency", "Operations management", "Engineering", "Medicine", "Artificial intelligence" ], "cited_by_openalex": 14, "cited_by_scopus": "14", "eid": "2-s2.0-85181911901", "pii": null, "open_access_url": "https://doi.org/10.3390/su16010044", "sources": [ { "db": "openalex", "stream": "UAV", "query_id": "UAV-3" }, { "db": "scopus", "stream": "UAV", "query_id": "UAV-3" } ], "streams": [ "UAV" ], "relevance_signals": [ "UAV_NO_CTX" ], "auto_exclude_reason": "EC-4-topic", "screening_status": "auto_excluded", "screened_by": "auto-v1.0.0" }, { "id": "doi:10.3390/drones7110671", "doi": "10.3390/drones7110671", "title": "Vertidrome Airside Level of Service: Performance-Based Evaluation of Vertiport Airside Operations", "year": 2023, "authors": [ "Karolin Schweiger", "Franz Knabe" ], "first_author": "Karolin Schweiger", "venue": "Drones", "volume": "7", "pages": null, "type": "article", "language": "en", "abstract": "This paper presents the Vertidrome Airside Level of Service (VALoS) framework, a novel performance metric designed to evaluate airside traffic flow operations at vertidromes in the context of Urban Air Mobility (UAM). As the UAM industry rapidly evolves, the need for a comprehensive evaluation framework becomes increasingly important. The VALoS framework provides a performance-based approach to evaluating vertidrome traffic flow performance, considering metrics like average passenger delay, air taxi in-flight delay, and vertidrome punctuality. Unlike existing Level of Service approaches, the VALoS framework unifies the requirements of various stakeholders, the passenger, the air taxi operator, and the vertidrome operator each with their own performance metric and target. It provides a multi-faceted approach covering airside air and ground traffic flows, arrivals and departures, and performance changes during strategic planning and tactical execution phases. The VALoS is evaluated at 15-min intervals while considering changing stakeholder performance targets and operational uncertainties. For the reference use case, the study demonstrates the significant impact of short-term disruptions, while stochastic deviations can be neglected. Higher traffic volumes due to changing demand/capacity ratios result in higher VALoS variability. The VALoS framework, together with a fast-time simulation, provides a versatile method for exploring future vertidrome traffic flows and supporting strategic vertidrome airside planning and integration. This integrated approach is essential for the evolving UAM vertidrome industry; aligning the interests of different stakeholders and promoting sustainable and efficient vertidrome planning and operation.", "keywords": [ "Punctuality", "Level of service", "Metric (unit)", "Context (archaeology)", "Service (business)", "Transport engineering", "Computer science", "Stakeholder", "Air traffic control", "Performance measurement", "Operations research", "Traffic flow (computer networking)" ], "cited_by_openalex": 13, "cited_by_scopus": "14", "eid": "2-s2.0-85178290431", "pii": null, "open_access_url": "https://www.mdpi.com/2504-446X/7/11/671/pdf?version=1699631312", "sources": [ { "db": "openalex", "stream": "UAV", "query_id": "UAV-3" }, { "db": "scopus", "stream": "UAV", "query_id": "UAV-3" } ], "streams": [ "UAV" ], "relevance_signals": [ "UAV_NO_CTX" ], "auto_exclude_reason": "EC-4-topic", "screening_status": "auto_excluded", "screened_by": "auto-v1.0.0" }, { "id": "doi:10.1177/03611981221099277", "doi": "10.1177/03611981221099277", "title": "New Mobility-Assist E-Grocery Delivery Network: a Load-Dependent Two-Echelon Vehicle Routing Problem With Mixed Vehicles", "year": 2023, "authors": [ "Liu D." ], "first_author": "Liu D.", "venue": "Transportation Research Record", "volume": "2677", "pages": "294-310", "type": "Article", "language": null, "abstract": null, "keywords": [], "cited_by_openalex": 0, "cited_by_scopus": "14", "eid": "2-s2.0-85145351015", "pii": null, "open_access_url": null, "sources": [ { "db": "scopus", "stream": "TRUCK", "query_id": "TRUCK-1" }, { "db": "scopus", "stream": "TRUCK", "query_id": "TRUCK-2" } ], "streams": [ "TRUCK" ], "relevance_signals": [ "NO_TECHNOLOGY_MATCH" ], "auto_exclude_reason": "EC-4-topic", "screening_status": "auto_excluded", "screened_by": "auto-v1.0.0" }, { "id": "doi:10.1016/j.trb.2023.01.001", "doi": "10.1016/j.trb.2023.01.001", "title": "Biobjective route planning of an unmanned air vehicle in continuous space", "year": 2023, "authors": [ "Tezcaner Öztürk D." ], "first_author": "Tezcaner Öztürk D.", "venue": "Transportation Research Part B Methodological", "volume": "168", "pages": "151-169", "type": "Article", "language": null, "abstract": null, "keywords": [], "cited_by_openalex": 0, "cited_by_scopus": "14", "eid": "2-s2.0-85146050455", "pii": "S0191261523000012", "open_access_url": null, "sources": [ { "db": "scopus", "stream": "UAV", "query_id": "UAV-2" } ], "streams": [ "UAV" ], "relevance_signals": [ "NO_TECHNOLOGY_MATCH" ], "auto_exclude_reason": "EC-4-topic", "screening_status": "auto_excluded", "screened_by": "auto-v1.0.0" }, { "id": "doi:10.1016/j.cie.2023.109684", "doi": "10.1016/j.cie.2023.109684", "title": "A mathematical model and metaheuristic approach to solve the real-time feeder vehicle routing problem", "year": 2023, "authors": [ "M. Salehi Sarbijan", "Javad Behnamian" ], "first_author": "M. Salehi Sarbijan", "venue": "Computers & Industrial Engineering", "volume": "185", "pages": null, "type": "article", "language": "en", "abstract": null, "keywords": [ "Vehicle routing problem", "Truck", "Routing (electronic design automation)", "Computer science", "Particle swarm optimization", "Mathematical optimization", "Metaheuristic", "Time horizon", "Integer programming", "Process (computing)", "Real-time computing", "Engineering" ], "cited_by_openalex": 15, "cited_by_scopus": "13", "eid": "2-s2.0-85174729489", "pii": "S0360835223007088", "open_access_url": "https://doi.org/10.1016/j.cie.2023.109684", "sources": [ { "db": "openalex", "stream": "TRUCK", "query_id": "TRUCK-1" }, { "db": "openalex", "stream": "TRUCK", "query_id": "TRUCK-3" }, { "db": "scopus", "stream": "TRUCK", "query_id": "TRUCK-1" }, { "db": "scopus", "stream": "TRUCK", "query_id": "TRUCK-3" } ], "streams": [ "TRUCK" ], "relevance_signals": [ "TRUCK_NO_CTX" ], "auto_exclude_reason": "EC-4-topic", "screening_status": "auto_excluded", "screened_by": "auto-v1.0.0" }, { "id": "doi:10.1007/978-3-031-37111-0_24", "doi": "10.1007/978-3-031-37111-0_24", "title": "The Role of City Logistics in Pursuing the Goals of Agenda 2030", "year": 2023, "authors": [ "Francesco Russo", "Antonio Comi" ], "first_author": "Francesco Russo", "venue": "Lecture notes in computer science", "volume": null, "pages": null, "type": "conference-paper", "language": "en", "abstract": null, "keywords": [ "City logistics", "Identification (biology)", "Sustainable city", "Computer science", "Sustainability", "Work (physics)", "Sustainable development", "Set (abstract data type)", "Process management", "Operations research", "Business", "Transport engineering" ], "cited_by_openalex": 13, "cited_by_scopus": 0, "eid": null, "pii": null, "open_access_url": "https://doi.org/10.1007/978-3-031-37111-0_24", "sources": [ { "db": "openalex", "stream": "TRUCK", "query_id": "TRUCK-2" } ], "streams": [ "TRUCK" ], "relevance_signals": [ "NO_TECHNOLOGY_MATCH" ], "auto_exclude_reason": "EC-4-topic", "screening_status": "auto_excluded", "screened_by": "auto-v1.0.0" }, { "id": "doi:10.3390/app13074214", "doi": "10.3390/app13074214", "title": "Solutions to the Problem of Freight Transport Flows in Urban Logistics", "year": 2023, "authors": [ "Nijolė Batarlienė", "Darius Bazaras" ], "first_author": "Nijolė Batarlienė", "venue": "Applied Sciences", "volume": null, "pages": null, "type": "article", "language": "en", "abstract": "The operation of a city’s logistics system is associated with many problematic issues, for example, intense pollution and negative impacts on the environment, uneven intensity of traffic flows, and other problems. This article focuses on heavy transport because it causes disruptions in the supply system and affects timely customer service. Optimization processes are associated with route selection, deployment of logistics centers, and the need for cargo consolidation–de-consolidation, which leads to the possibility of using the PPP (public–private partnership) method in practice. A unique aspect of this research is related to the problems of the first and last mile and the use of elements of the “sharing economy”. Therefore, this article aims to analyze the problematic challenges of the first and last mile and the role and significance of heavy transport in urban logistics. For that purpose, in addition to an analysis of scientific sources, an expert survey was conducted and responses related to the questions on optimizing heavy traffic flows in city logistics were analyzed. The study data were processed using Kendall’s correlation coefficient, the concordance method, and the consistency coefficient. During analysis, using the average rank transformation to weights (ARTIW) method, the subjective normalized weights of the main factors that have the greatest influence on a city’s logistics system were determined. Groups of interested parties are also named separately, for whom the results of the study and the formulated decision may be relevant. Based on the results of the research, a recommendation was formulated for the development of small cargo collection and distribution services through self-service terminals located on the outskirts of cities. Proposals are presented to reorganize the system, provide details of new infrastructure elements and suburban terminals, and encourage for the use of environmentally friendly vehicles with a lower carrying capacity.", "keywords": [ "City logistics", "Consolidation (business)", "General partnership", "Business", "Transport engineering", "Operations research", "Computer science", "Environmental economics", "Economics", "Engineering" ], "cited_by_openalex": 13, "cited_by_scopus": 0, "eid": null, "pii": null, "open_access_url": "https://www.mdpi.com/2076-3417/13/7/4214/pdf?version=1679987719", "sources": [ { "db": "openalex", "stream": "TRUCK", "query_id": "TRUCK-2" } ], "streams": [ "TRUCK" ], "relevance_signals": [ "NO_TECHNOLOGY_MATCH" ], "auto_exclude_reason": "EC-4-topic", "screening_status": "auto_excluded", "screened_by": "auto-v1.0.0" }, { "id": "doi:10.34293/sijash.v11i2.6650", "doi": "10.34293/sijash.v11i2.6650", "title": "Ubiquitous Unmanned Aerial Vehicles (UAVs): A Comprehensive Review", "year": 2023, "authors": [ "Ahad Shabib Alotaibi", "Chris R. Chatwin", "Philip M. Birch" ], "first_author": "Ahad Shabib Alotaibi", "venue": "Shanlax International Journal of Arts Science and Humanities", "volume": null, "pages": null, "type": "article", "language": "en", "abstract": "Unmanned aerial vehicles (UAVs) or drones have found applications in various fields including military operations, construction, parcel delivery, mapping, medical, search and rescue missions, exploration of hidden areas, monitoring power lines and oil rigs, precision farming, aerial surveillance, and wireless communication. Due to their modular flexibility and programmability, drone technologies have become a strategic industrial/commercial sector that has gained significant attention as it redefines and combines different emerging domains, such as: service and delivery convergence, lean manufacturing, environmental monitoring and security. The use of swarms of interconnected UAV systems has gained popularity in providing innovative approaches to tasks requiring wide-area multiple collaborative sensors. However, despite advances in maneuverability, user interface, and cost-effectiveness, drones still face limitations in flight autonomy due to restricted flight time for continuous missions. Battery endurance, drone weight, and payload are critical development vectors. This review highlights the importance of drones, their future development priorities and functionality. Specifically, it focuses on UAV classification, swarms, and charging. Moreover, it explores UAV applications, challenges, and security issues based on recent research and development. Additionally, the study delves into anti-drone technology that can assist countries in controlling and ensuring the safe utilization of drones.", "keywords": [ "Drone", "Payload (computing)", "Flexibility (engineering)", "Modular design", "Computer science", "Systems engineering", "Engineering", "Computer security" ], "cited_by_openalex": 13, "cited_by_scopus": 0, "eid": null, "pii": null, "open_access_url": "https://shanlaxjournals.in/journals/index.php/sijash/article/download/6650/6271", "sources": [ { "db": "openalex", "stream": "UAV", "query_id": "UAV-1" } ], "streams": [ "UAV" ], "relevance_signals": [ "UAV" ], "auto_exclude_reason": null, "screening_status": "pending_human_screening", "screened_by": "auto-v1.0.0" }, { "id": "doi:10.1007/s10479-023-05381-8", "doi": "10.1007/s10479-023-05381-8", "title": "RETRACTED ARTICLE: A new truck-drone routing problem for parcel delivery by considering energy consumption and altitude", "year": 2023, "authors": [ "Maryam Momeni", "Seyed Mohammad Javad Mirzapour Al-e-Hashem", "Ali Akbar Heidari" ], "first_author": "Maryam Momeni", "venue": "Annals of Operations Research", "volume": "337", "pages": "25", "type": "article", "language": "en", "abstract": null, "keywords": [ "Drone", "Computer science", "Heuristic", "Routing (electronic design automation)", "Energy consumption", "Solver", "Operations research", "Truck", "Theory of computation", "Mathematical optimization", "Metropolitan area", "Simulation" ], "cited_by_openalex": 18, "cited_by_scopus": "13", "eid": "2-s2.0-85160025764", "pii": null, "open_access_url": "https://link.springer.com/content/pdf/10.1007/s10479-023-05381-8.pdf", "sources": [ { "db": "openalex", "stream": "UAV", "query_id": "UAV-1" }, { "db": "openalex", "stream": "UAV", "query_id": "UAV-2" }, { "db": "scopus", "stream": "UAV", "query_id": "UAV-1" }, { "db": "scopus", "stream": "UAV", "query_id": "UAV-2" } ], "streams": [ "UAV" ], "is_retracted": true, "relevance_signals": [ "UAV", "TRUCK" ], "auto_exclude_reason": "EC-2", "screening_status": "auto_excluded", "screened_by": "auto-v1.0.0" }, { "id": "doi:10.3390/en16186467", "doi": "10.3390/en16186467", "title": "Quantitative and Comparative Analysis of Energy Consumption in Urban Logistics Using Unmanned Aerial Vehicles and Selected Means of Transport", "year": 2023, "authors": [ "Anna Kwasiborska", "Anna Stelmach", "Izabela Jabłońska" ], "first_author": "Anna Kwasiborska", "venue": "Energies", "volume": "16", "pages": null, "type": "article", "language": "en", "abstract": "Cities are moving towards sustainable development, which consists of tasks and challenges to improve the quality of life, and minimize energy consumption. The concept of sustainable mobility includes the choice of means of transport other than the car for all journeys, especially short distances, and for the delivery of goods. Due to the growing populations of cities, lack of free space, and high costs of building infrastructure for traditional means of transport, cities are looking for modern solutions that allow for the cheap, fast, and green transportation of people and goods. Urban air mobility is the answer to these problems, and uses eVTOL (electric vertical take-off and landing) aircraft and unmanned aerial vehicle systems (UAVs). The article’s main purpose is to present an energy efficiency analysis using UAVs and electric scooters in the transport of takeaway food, which is a solution that fits into the zero-emission transport policy. The article presents the following research problem: which type of electric transport (scooters/UAVs) shows a lower demand for electric energy when delivering food from restaurants to individual customers? The analysis method was applied using the D’Andrea, Dorling, Figliozzi, Kirchstein, and Tseng energy models. The completed calculations were used to perform a comparative analysis of energy consumption for three adopted scenarios related to energy consumption by drones.", "keywords": [ "Energy consumption", "Drone", "Sustainable transport", "Transport engineering", "Consumption (sociology)", "Environmental economics", "City logistics", "Energy (signal processing)", "Sustainable development", "Electric vehicle", "Automotive engineering", "Computer science" ], "cited_by_openalex": 10, "cited_by_scopus": "13", "eid": "2-s2.0-85172733011", "pii": null, "open_access_url": "https://www.mdpi.com/1996-1073/16/18/6467/pdf?version=1694086997", "sources": [ { "db": "openalex", "stream": "UAV", "query_id": "UAV-1" }, { "db": "scopus", "stream": "UAV", "query_id": "UAV-1" } ], "streams": [ "UAV" ], "relevance_signals": [ "UAV" ], "auto_exclude_reason": null, "screening_status": "pending_human_screening", "screened_by": "auto-v1.0.0" }, { "id": "doi:10.1109/tits.2023.3281522", "doi": "10.1109/tits.2023.3281522", "title": "An Enhanced Backtracking Search Algorithm for the Flight Planning of a Multi-Drones-Assisted Commercial Parcel Delivery System", "year": 2023, "authors": [ "Yiying Zhang", "Guanzhong Zhou", "Peng Hang", "Chao Huang", "Hailong Huang" ], "first_author": "Yiying Zhang", "venue": "IEEE Transactions on Intelligent Transportation Systems", "volume": "24", "pages": "11396-11409", "type": "article", "language": "en", "abstract": "Using drones to carry out commercial parcel delivery can significantly promote the transformation and upgrading of the logistics industry thanks to the saving of human labor source, which is becoming a new component of intelligent transportation systems. However, the flight distance of drones is often constrained due to the limited battery capacity. To address this challenge, this paper designs a multi-drones-assisted commercial parcel delivery system, which supports long-distance delivery by a generalized service network (GSN). Each node of the GSN is equipped with charging piles to provide a charging service for drones. Given the limited number of charging piles at each node and the limited battery capacity of a drone, to ensure the efficient operation of the system, the flight planning problem of drones is converted into a large-scale optimization problem by a priority-based encoding mechanism. To solve this problem, an enhanced backtracking search algorithm (EBSA) is reported, which is inspired by the characteristics of the considered flight planning problem and the weak ability of the backtracking search algorithm to escape from a local optimum. The core components of EBSA are the designed comprehensive learning mechanism and local escape operator. Experimental results prove the validity of the improved strategies and the excellent performance of EBSA on the considered flight planning problem.", "keywords": [ "Backtracking", "Drone", "Node (physics)", "Computer science", "Service (business)", "Local search (optimization)", "Engineering", "Mathematical optimization", "Operations research", "Artificial intelligence", "Algorithm", "Mathematics" ], "cited_by_openalex": 12, "cited_by_scopus": "13", "eid": "2-s2.0-85162710599", "pii": null, "open_access_url": "http://ira.lib.polyu.edu.hk/bitstream/10397/99333/1/Zhang_Enhanced_Backtracking_Search.pdf", "sources": [ { "db": "openalex", "stream": "UAV", "query_id": "UAV-1" }, { "db": "scopus", "stream": "UAV", "query_id": "UAV-1" } ], "streams": [ "UAV" ], "relevance_signals": [ "UAV" ], "auto_exclude_reason": null, "screening_status": "pending_human_screening", "screened_by": "auto-v1.0.0" }, { "id": "doi:10.1007/s40305-023-00471-7", "doi": "10.1007/s40305-023-00471-7", "title": "The Multi-visits Drone-Vehicle Routing Problem with Simultaneous Pickup and Delivery Service", "year": 2023, "authors": [ "Si Zhang", "Lu Li" ], "first_author": "Si Zhang", "venue": "Journal of the Operations Research Society of China", "volume": "12", "pages": "965-995", "type": "book-chapter", "language": "en", "abstract": null, "keywords": [ "Drone", "Travelling salesman problem", "Vehicle routing problem", "Pickup", "Computer science", "Heuristics", "Schedule", "Service (business)", "Scalability", "Routing (electronic design automation)", "Mathematical optimization", "Operations research" ], "cited_by_openalex": 12, "cited_by_scopus": "13", "eid": "2-s2.0-85150743495", "pii": null, "open_access_url": "https://link.springer.com/content/pdf/10.1007/s40305-023-00471-7.pdf", "sources": [ { "db": "openalex", "stream": "UAV", "query_id": "UAV-2" }, { "db": "scopus", "stream": "UAV", "query_id": "UAV-2" } ], "streams": [ "UAV" ], "relevance_signals": [ "UAV_NO_CTX" ], "auto_exclude_reason": "EC-4-topic", "screening_status": "auto_excluded", "screened_by": "auto-v1.0.0" }, { "id": "doi:10.1007/978-3-031-36118-0_56", "doi": "10.1007/978-3-031-36118-0_56", "title": "Machine Learning for Unmanned Aerial Vehicle Routing on Rough Terrain", "year": 2023, "authors": [ "Ievgen V. Sidenko", "A. S. Trukhov", "Galyna Kondratenko", "Yuriy Zhukov", "Yuriy Panteliyovych Kondratenko" ], "first_author": "Ievgen V. Sidenko", "venue": "Lecture notes on data engineering and communications technologies", "volume": "181", "pages": "626-635", "type": "conference-paper", "language": "en", "abstract": null, "keywords": [ "Drone", "Terrain", "Routing (electronic design automation)", "Computer science", "Artificial neural network", "Artificial intelligence", "Real-time computing", "Task (project management)", "Engineering", "Simulation", "Embedded system", "Geography" ], "cited_by_openalex": 2, "cited_by_scopus": "13", "eid": "2-s2.0-85169058385", "pii": null, "open_access_url": "https://doi.org/10.1007/978-3-031-36118-0_56", "sources": [ { "db": "openalex", "stream": "UAV", "query_id": "UAV-2" }, { "db": "scopus", "stream": "UAV", "query_id": "UAV-2" } ], "streams": [ "UAV" ], "relevance_signals": [ "UAV_NO_CTX" ], "auto_exclude_reason": "EC-4-topic", "screening_status": "auto_excluded", "screened_by": "auto-v1.0.0" }, { "id": "doi:10.3390/su151813377", "doi": "10.3390/su151813377", "title": "Capacity Assessment and Analysis of Vertiports Based on Simulation", "year": 2023, "authors": [ "Honghai Zhang", "Jingyu Li", "Yuhan Fei", "Cheng Dan Deng", "Yi Jia" ], "first_author": "Honghai Zhang", "venue": "Sustainability", "volume": "15", "pages": null, "type": "article", "language": "en", "abstract": "City air traffic as a new transportation mode has gradually attracted attention in recent years which will bring endless vitality to future urban development. An objective and accurate assessment of the vertiport capacity for UAVs (Unmanned Aerial Vehicles) is the basis for implementing air traffic flow management for UAVs, which is also a prerequisite for improving the efficiency of urban airspace resources used. Firstly, new topology designs are proposed and named as connected and compact topology designs based on the existing central airport topology design. Subsequently, three modes of operation are summarized for vertiports with multiple TLOF pads: independent operation, dependent operation, and segregated operation. In the next place, the overall traffic flow of the vertiport model is established based on AnyLogic while analyzing the logic of UAV operation in three modes as mentioned above. Eventually, according to the simulation results, the vertiport operation capacity, the UAVs delay, and surface area utilization under different operation modes and topology designs are analyzed. The simulation result shows that the overall average delay time of UAVs for independent operation mode is about 100 s less than that of segregated operation and it also shows that the utilization rate of independent operation mode under central design is as high as 54.42% while the utilization rate of TLOF pads of other design is less than 50%, and its vertiport capacity is the largest, so the independent operational mode under central configuration is the optimal combination.", "keywords": [ "Mode (computer interface)", "Topology (electrical circuits)", "Computer science", "Network topology", "Traffic flow (computer networking)", "Simulation", "Transport engineering", "Engineering", "Computer network", "Electrical engineering" ], "cited_by_openalex": 8, "cited_by_scopus": "13", "eid": "2-s2.0-85172172674", "pii": null, "open_access_url": "https://www.mdpi.com/2071-1050/15/18/13377/pdf?version=1694067702", "sources": [ { "db": "openalex", "stream": "UAV", "query_id": "UAV-3" }, { "db": "scopus", "stream": "UAV", "query_id": "UAV-3" } ], "streams": [ "UAV" ], "relevance_signals": [ "UAV_NO_CTX" ], "auto_exclude_reason": "EC-4-topic", "screening_status": "auto_excluded", "screened_by": "auto-v1.0.0" }, { "id": "doi:10.1080/23302674.2023.2252737", "doi": "10.1080/23302674.2023.2252737", "title": "Capacitated vertiport and charging station location-allocation problem for air taxi operations with battery and fleet dispatching considerations: a case study of New York city", "year": 2023, "authors": [ "Suchithra Rajendran", "Akhouri Amitanand Sinha", "Sharan Srinivas" ], "first_author": "Suchithra Rajendran", "venue": "International Journal of Systems Science Operations & Logistics", "volume": "10", "pages": null, "type": "article", "language": "en", "abstract": "Set to begin operations in the coming years, air taxi is an emerging ride-sharing aviation service that plans to commute millions of customers in metropolitan cities every day. However, existing literature has not holistically investigated the impact of the various strategic, tactical, and operations decisions pertaining to air taxi services (ATS). This research adopts a simulation-based framework to address the capacitated infrastructure location and demand allocation problems associated with ATS. Specifically, we determine the following decisions: (i) location and size of operating facilities and charging stations (strategic), (ii) air taxi fleet required to serve the expected demand at a specified service level (strategic), (iii) threshold minimum charge required for efficient air taxi operations (tactical), and (iv) real-time allocation of customer demand (operational). The proposed approach identifies the infrastructure locations using a clustering algorithm, and subsequently addresses the capacitated location-allocation problem for ATS by employing a simulation-based model. To test the effectiveness of the proposed approach, we consider a case study of New York City. We leverage the estimated air taxi demand and evaluate the proposed model by considering the weighted sum of fleet utilization and customer waiting time.", "keywords": [ "Operations research", "Metropolitan area", "Service (business)", "Aviation", "Transport engineering", "Leverage (statistics)", "Computer science", "Location-allocation", "Demand forecasting", "Business", "Engineering", "Marketing" ], "cited_by_openalex": 6, "cited_by_scopus": "13", "eid": "2-s2.0-85173785686", "pii": null, "open_access_url": "https://doi.org/10.1080/23302674.2023.2252737", "sources": [ { "db": "openalex", "stream": "UAV", "query_id": "UAV-3" }, { "db": "scopus", "stream": "UAV", "query_id": "UAV-3" } ], "streams": [ "UAV" ], "relevance_signals": [ "UAV_NO_CTX" ], "auto_exclude_reason": "EC-4-topic", "screening_status": "auto_excluded", "screened_by": "auto-v1.0.0" }, { "id": "doi:10.1109/access.2023.3315694", "doi": "10.1109/access.2023.3315694", "title": "Intelligent Scheduling Algorithms for the Enhancement of Drone-Based Innovative Logistic Supply Chain Systems", "year": 2023, "authors": [ "Ameen Banjar", "Mahdi Jemmali", "Loai Kayed B. Melhim", "Wadii Boulila", "Talel Ladhari", "Akram Y. Sarhan" ], "first_author": "Ameen Banjar", "venue": "IEEE Access", "volume": "11", "pages": "102418-102429", "type": "article", "language": "en", "abstract": "The integration of advanced technologies such as artificial intelligence, the Internet of Things, and location-tracking technologies has revolutionized our daily lives by enhancing the functionality of logistical services. However, these advancements have also placed significant pressure on the current supply networks and have impeded further growth within the logistics industry. This article presents an inventive logistic supply chain solution utilizing drone-based delivery to tackle the logistic supply chain issues. The proposed solution goal is to minimize the maximum amount of time required to finish all assigned delivery tasks. The goal was met by developing a set of sophisticated algorithms based on the combination of dispatching rule, randomization, and iterative methods to optimize the performance of the supply chain processes and effectively accomplished the aim of time savings. The deployed system enables the management of a larger volume of shipments and increases the efficiency of logistic supply chain management. The experimental results demonstrated that the proposed algorithms have the potential to decrease the maximum duration required to complete the delivery operations assigned to the drones in 1520 cases. The algorithm that exhibited the highest level of performance was the MID algorithm, which attained a staggering percentage of 87.7%, an average deviation from the optimal solution of 0.001, and an execution time of 0.0215 s. Moreover, the MID algorithm was determined to outperform the top two algorithms in the literature after comparing their outputs.", "keywords": [ "Computer science", "Supply chain", "Drone", "Algorithm", "Supply chain management", "Scheduling (production processes)", "Duration (music)", "Real-time computing", "Mathematical optimization", "Mathematics" ], "cited_by_openalex": 11, "cited_by_scopus": "13", "eid": "2-s2.0-85171532100", "pii": null, "open_access_url": "https://doi.org/10.1109/access.2023.3315694", "sources": [ { "db": "openalex", "stream": "UAV", "query_id": "UAV-3" }, { "db": "scopus", "stream": "UAV", "query_id": "UAV-3" } ], "streams": [ "UAV" ], "relevance_signals": [ "UAV_NO_CTX" ], "auto_exclude_reason": "EC-4-topic", "screening_status": "auto_excluded", "screened_by": "auto-v1.0.0" }, { "id": "doi:10.2514/6.2023-0127", "doi": "10.2514/6.2023-0127", "title": "Landing Trajectory Prediction for UAS Based on Generative Adversarial Network", "year": 2023, "authors": [ "Jun Xiang", "Junfei Xie", "Jun Chen" ], "first_author": "Jun Xiang", "venue": "AIAA SCITECH 2023 Forum", "volume": null, "pages": null, "type": "conference-paper", "language": "en", "abstract": "View Video Presentation: https://doi.org/10.2514/6.2023-0127.vid Models for trajectory prediction are an essential component of many advanced air mobility studies. These models help aircraft detect conflict and plan avoidance maneuvers, which is especially important in Unmanned Aircraft systems (UAS) landing management due to the congested airspace near vertiports. In this paper, we propose a landing trajectory prediction model for UAS based on Generative Adversarial Network (GAN). The GAN is a prestigious neural network that has been developed for many years. In previous research, GAN has achieved many state-of-the-art results in many generation tasks. The GAN consists of one neural network generator and a neural network discriminator. Because of the learning capacity of the neural networks, the generator is capable to understand the features of the sample trajectory. The generator takes the previous trajectory as input and outputs some random status of a flight. According to the results of the experiences, the proposed model can output more accurate predictions than the baseline method(GMR) in various datasets. To evaluate the proposed model, we also create a real UAV landing dataset that includes more than 2600 trajectories of drone control manually by real pilots.", "keywords": [ "Trajectory", "Discriminator", "Computer science", "Drone", "Artificial neural network", "Generator (circuit theory)", "Artificial intelligence", "Generative adversarial network", "Real-time computing", "Deep learning", "Power (physics)", "Telecommunications" ], "cited_by_openalex": 13, "cited_by_scopus": 0, "eid": null, "pii": null, "open_access_url": "https://doi.org/10.2514/6.2023-0127", "sources": [ { "db": "openalex", "stream": "UAV", "query_id": "UAV-3" } ], "streams": [ "UAV" ], "relevance_signals": [ "UAV_NO_CTX" ], "auto_exclude_reason": "EC-4-topic", "screening_status": "auto_excluded", "screened_by": "auto-v1.0.0" }, { "id": "doi:10.3390/su15043285", "doi": "10.3390/su15043285", "title": "Analysis of the Potential Use of Unmanned Aerial Vehicles and Image Processing Methods to Support Road and Parking Space Management in Urban Transport", "year": 2023, "authors": [ "Kujawski A." ], "first_author": "Kujawski A.", "venue": "Sustainability Switzerland", "volume": "15", "pages": null, "type": "Article", "language": null, "abstract": null, "keywords": [], "cited_by_openalex": 0, "cited_by_scopus": "13", "eid": "2-s2.0-85149329842", "pii": null, "open_access_url": null, "sources": [ { "db": "scopus", "stream": "TRUCK", "query_id": "TRUCK-1" }, { "db": "scopus", "stream": "UAV", "query_id": "UAV-1" } ], "streams": [ "TRUCK", "UAV" ], "relevance_signals": [ "UAV" ], "auto_exclude_reason": null, "screening_status": "pending_human_screening", "screened_by": "auto-v1.0.0" }, { "id": "doi:10.1080/23311975.2023.2188987", "doi": "10.1080/23311975.2023.2188987", "title": "Increasing the intention of Gen Zers to adopt drone delivery services based on a three-step decision-making process", "year": 2023, "authors": [ "Chen C." ], "first_author": "Chen C.", "venue": "Cogent Business and Management", "volume": "10", "pages": null, "type": "Article", "language": null, "abstract": null, "keywords": [], "cited_by_openalex": 0, "cited_by_scopus": "13", "eid": "2-s2.0-85150394768", "pii": null, "open_access_url": null, "sources": [ { "db": "scopus", "stream": "UAV", "query_id": "UAV-1" } ], "streams": [ "UAV" ], "relevance_signals": [ "UAV_NO_CTX" ], "auto_exclude_reason": "EC-4-topic", "screening_status": "auto_excluded", "screened_by": "auto-v1.0.0" }, { "id": "doi:10.1016/j.jnca.2023.103632", "doi": "10.1016/j.jnca.2023.103632", "title": "EdgeDrones: Co-scheduling of drones for multi-location aerial computing missions", "year": 2023, "authors": [ "Awada U." ], "first_author": "Awada U.", "venue": "Journal of Network and Computer Applications", "volume": "215", "pages": null, "type": "Article", "language": null, "abstract": null, "keywords": [], "cited_by_openalex": 0, "cited_by_scopus": "13", "eid": "2-s2.0-85153174224", "pii": "S1084804523000516", "open_access_url": null, "sources": [ { "db": "scopus", "stream": "UAV", "query_id": "UAV-2" } ], "streams": [ "UAV" ], "relevance_signals": [ "UAV_NO_CTX" ], "auto_exclude_reason": "EC-4-topic", "screening_status": "auto_excluded", "screened_by": "auto-v1.0.0" }, { "id": "doi:10.4337/9781800370173.00036", "doi": "10.4337/9781800370173.00036", "title": "Environmentally sustainable city logistics: minimising urban freight emissions", "year": 2023, "authors": [ "Alan Campbell McKinnon" ], "first_author": "Alan Campbell McKinnon", "venue": "Edward Elgar Publishing eBooks", "volume": null, "pages": null, "type": "book-chapter", "language": "en", "abstract": "This chapter provides an overview of the environmental impact of logistical activity in urban areas, in particular the levels of pollutants and greenhouse gas emissions. The nature and scale of this impact varies with a city’s size, structure, age, planning policies and level of economic development, making generalisation difficult. Macro-level data from several sources is used to assess the environmental impact of urban freight transport and the extent of the emission-reduction challenge. Having defined the problem, the chapter then reviews efforts by public authorities and the private sector to cut these emissions. Most of these initiatives can simultaneously reduce air pollutants, predominantly nitrogen oxides and particulate matter, and greenhouse gases, though some are targeted towards particular externalities. The initiatives are discussed under five headings: switching freight vehicles to cleaner, lower-carbon energy, raising levels of energy efficiency, improving the utilisation of vehicle capacity, increasing the use of less-polluting modes and minimising the amount of urban freight movement. A concluding section reviews data limitations and explores opportunities for future research on this topic.", "keywords": [ "Greenhouse gas", "Externality", "Business", "Environmental economics", "Environmental planning", "Sustainable development", "Environmental impact assessment", "Transport engineering", "Natural resource economics", "Environmental science", "Engineering", "Economics" ], "cited_by_openalex": 12, "cited_by_scopus": 0, "eid": null, "pii": null, "open_access_url": "https://doi.org/10.4337/9781800370173.00036", "sources": [ { "db": "openalex", "stream": "TRUCK", "query_id": "TRUCK-1" } ], "streams": [ "TRUCK" ], "relevance_signals": [ "TRUCK" ], "auto_exclude_reason": null, "screening_status": "pending_human_screening", "screened_by": "auto-v1.0.0" }, { "id": "doi:10.3390/ijgi12030088", "doi": "10.3390/ijgi12030088", "title": "Using Large-Scale Truck Trajectory Data to Explore the Location of Sustainable Urban Logistics Centres—The Case of Wuhan", "year": 2023, "authors": [ "Hongzan Jiao", "Faxing Yang", "Shasha Xu", "Shibiao Huang" ], "first_author": "Hongzan Jiao", "venue": "ISPRS International Journal of Geo-Information", "volume": "12", "pages": null, "type": "article", "language": "en", "abstract": "Urban logistics is important to a city’s sustainable growth and development. With the increase in population and the economic growth in urban areas, the issue of congestion and the negative influence of transport of goods on people and the environment is one of the most important factors in the development of urban logistics. By determining the optimal location of urban logistics centres, total transport costs of logistics, the flow of goods in urban areas and the greenhouse gas emissions will be reduced. However, the traditional methods are easily influenced by the ambiguity of objective data, which makes it difficult to accurately describe the logistics demand in the urban area. To address this issue, the improved location–allocation model for urban logistics centres based on truck trajectory data is proposed. After extracting the origin–destination points, the logistics service demand can be estimated by the DBSCAN (density-based spatial clustering of applications with noise) clustering method. Then, the location–allocation of logistics centres is determined by an improved P-median method with the supply capacity limitation for simultaneous delivery of goods in the logistics centres. To validate the model, taking Wuhan, a central logistics city in China, as an example, the model can effectively ensure the equitable distribution of logistics facilities, minimize freight expenses, achieve more uniformity in logistics center services, and foster sustainable development of the city’s logistics sector.", "keywords": [ "Truck", "DBSCAN", "Business", "Transport engineering", "Logistics center", "City logistics", "Service (business)", "Population", "Traffic management", "Scale (ratio)", "Sustainable development", "Cluster analysis" ], "cited_by_openalex": 12, "cited_by_scopus": "12", "eid": "2-s2.0-85151498620", "pii": null, "open_access_url": "https://www.mdpi.com/2220-9964/12/3/88/pdf?version=1677475197", "sources": [ { "db": "openalex", "stream": "TRUCK", "query_id": "TRUCK-1" }, { "db": "scopus", "stream": "TRUCK", "query_id": "TRUCK-1" } ], "streams": [ "TRUCK" ], "relevance_signals": [ "TRUCK" ], "auto_exclude_reason": null, "screening_status": "pending_human_screening", "screened_by": "auto-v1.0.0" }, { "id": "doi:10.1007/s10472-023-09858-x", "doi": "10.1007/s10472-023-09858-x", "title": "A hybrid simulated annealing and variable neighborhood search algorithm for the close-open electric vehicle routing problem", "year": 2023, "authors": [ "Themistoklis Stamadianos", "Nikolaos A. Kyriakakis", "Magdalene Marinaki", "Yannis Marinakis" ], "first_author": "Themistoklis Stamadianos", "venue": "Annals of Mathematics and Artificial Intelligence", "volume": "93", "pages": "817-840", "type": "article", "language": "en", "abstract": "Abstract Electric Vehicles (EVs) are the future of transportation, but due to their battery and charging technology they cannot yet directly replace traditional vehicles. Nonetheless, EVs are a great option for city-logistics, due to the small distances and their zero local emissions. In this paper, a novel variant of the Electric Vehicle Routing Problem (EVRP), called Close-Open EVRP (COEVRP), is presented. It considers ending EV trips at Charging Stations, as opposed to other EVRP variants that only allow for en-route charging. This new variant follows a traditional routing scheme, allowing EVs to recharge only at the end of their route. The objective is to minimize energy consumption, as well as the number of vehicles. The energy consumption function takes into account the weight of the transported items. A mathematical formulation for the problem is presented and small instances were solved using a commercial solver. To solve larger instances, a hybrid metaheuristic combining Simulated Annealing and Variable Neighborhood Search algorithm was employed and thoroughly tested.", "keywords": [ "Simulated annealing", "Mathematical optimization", "Solver", "Electric vehicle", "Variable neighborhood search", "Computer science", "Metaheuristic", "Vehicle routing problem", "Energy consumption", "Variable (mathematics)", "Routing (electronic design automation)", "Battery electric vehicle" ], "cited_by_openalex": 14, "cited_by_scopus": "12", "eid": "2-s2.0-85162062950", "pii": null, "open_access_url": "https://link.springer.com/content/pdf/10.1007/s10472-023-09858-x.pdf", "sources": [ { "db": "openalex", "stream": "TRUCK", "query_id": "TRUCK-2" }, { "db": "scopus", "stream": "TRUCK", "query_id": "TRUCK-2" } ], "streams": [ "TRUCK" ], "relevance_signals": [ "NO_TECHNOLOGY_MATCH" ], "auto_exclude_reason": "EC-4-topic", "screening_status": "auto_excluded", "screened_by": "auto-v1.0.0" }, { "id": "doi:10.1016/j.cie.2023.109458", "doi": "10.1016/j.cie.2023.109458", "title": "Integrated strategic and tactical design of multi-echelon city distribution systems with vehicles synchronization: A case of the Greater Montréal area", "year": 2023, "authors": [ "Viviane Agnimo", "Mustapha Ouhimmou", "Marc Paquet", "Julio Montecinos" ], "first_author": "Viviane Agnimo", "venue": "Computers & Industrial Engineering", "volume": "183", "pages": null, "type": "article", "language": "en", "abstract": null, "keywords": [ "Synchronizing", "Metropolitan area", "Computer science", "Robustness (evolution)", "Synchronization (alternating current)", "Vehicle routing problem", "Operations research", "Routing (electronic design automation)", "Real-time computing", "Computer network", "Engineering", "Telecommunications" ], "cited_by_openalex": 9, "cited_by_scopus": "12", "eid": "2-s2.0-85166475969", "pii": "S0360835223004825", "open_access_url": "https://doi.org/10.1016/j.cie.2023.109458", "sources": [ { "db": "openalex", "stream": "TRUCK", "query_id": "TRUCK-2" }, { "db": "scopus", "stream": "TRUCK", "query_id": "TRUCK-2" } ], "streams": [ "TRUCK" ], "relevance_signals": [ "NO_TECHNOLOGY_MATCH" ], "auto_exclude_reason": "EC-4-topic", "screening_status": "auto_excluded", "screened_by": "auto-v1.0.0" }, { "id": "doi:10.1016/j.sca.2023.100028", "doi": "10.1016/j.sca.2023.100028", "title": "A multi-agent-based real-time truck scheduling model for cross-docking problems with single inbound and outbound doors", "year": 2023, "authors": [ "Bilge Torbali", "Gülgün Alpan" ], "first_author": "Bilge Torbali", "venue": "Supply Chain Analytics", "volume": "3", "pages": null, "type": "article", "language": "en", "abstract": "Cross-docking is a logistics methodology employed in warehouses to gain a competitive advantage by consolidating and transferring freights directly from an inbound supplier to an outbound client with no or restricted storage. Real-time data processing is required for fast synchronisation of inflows and outflows. This study develops a real-time multi-agent truck scheduling model for single inbound-single outbound cross-docking for fast synchronisation of inflows and outflows. The proposed model exploits the autonomous, reactive, and distributed responsibility characteristics of the multi-agent systems to realise shared computation and respond flexible responses to dynamic events. This type of model is novel in the cross-docking literature for scheduling of both inbound and outbound trucks. The responsiveness of the proposed model is evaluated by employing a combination of different traffic levels based on truck arrival times. Furthermore, various truck-to-door assignment strategies are implemented to achieve the best performance based on key performance indicators such as the average stock level, the number of late pallets, the pallet delay and the outbound truck fill rate. To validate the experimental results, ANOVA (analysis of variance) is performed. The analysis demonstrates that the stock policy (SP) outperforms all the others by sustaining low stock levels and high on-time deliveries and truck fill rates across all traffic levels, while the time-related strategies are adequate for cases where outbound traffic is more elevated than inbound traffic.", "keywords": [ "Truck", "Doors", "Computer science", "Scheduling (production processes)", "Pallet", "Stock (firearms)", "Real-time computing", "Operations research", "Automotive engineering", "Engineering", "Operating system", "Operations management" ], "cited_by_openalex": 11, "cited_by_scopus": "12", "eid": "2-s2.0-85170355325", "pii": "S2949863523000274", "open_access_url": "https://doi.org/10.1016/j.sca.2023.100028", "sources": [ { "db": "openalex", "stream": "TRUCK", "query_id": "TRUCK-3" }, { "db": "scopus", "stream": "TRUCK", "query_id": "TRUCK-3" } ], "streams": [ "TRUCK" ], "relevance_signals": [ "TRUCK_NO_CTX" ], "auto_exclude_reason": "EC-4-topic", "screening_status": "auto_excluded", "screened_by": "auto-v1.0.0" }, { "id": "doi:10.3390/math11040811", "doi": "10.3390/math11040811", "title": "Vehicle Routing Optimization with Cross-Docking Based on an Artificial Immune System in Logistics Management", "year": 2023, "authors": [ "Shih‐Che Lo", "Ying-Lin Chuang" ], "first_author": "Shih‐Che Lo", "venue": "Mathematics", "volume": "11", "pages": null, "type": "article", "language": "en", "abstract": "Background: Manufacturing companies optimize logistics network routing to reduce transportation costs and operational costs in order to make profits in an extremely competitive environment. Therefore, the efficiency of logistics management in the supply chain and the quick response to customers’ demands are treated as an additional source of profit. One of the warehouse operations for intelligent logistics network design, called cross-docking (CD) operations, is used to reduce inventory levels and improve responsiveness to meet customers’ requirements. Accordingly, the optimization of a vehicle dispatch schedule is imperative in order to produce a routing plan with the minimum transport cost while meeting demand allocation. Methods: This paper developed a two-phase algorithm, called sAIS, to solve the vehicle routing problem (VRP) with the CD facilities and systems in the logistics operations. The sAIS algorithm is based on a clustering-first and routing-later approach. The sweep method is used to cluster trucks as the initial solution for the second phase: optimizing routing by the Artificial Immune System. Results: In order to examine the performance of the proposed sAIS approach, we compared the proposed model with the Genetic Algorithm (GA) on the VRP with pickup and delivery benchmark problems, showing average improvements of 7.26%. Conclusions: In this study, we proposed a novel sAIS algorithm for solving VRP with CD problems by simulating human body immune reactions. The experimental results showed that the proposed sAIS algorithm is robustly competitive with the GA on the criterion of average solution quality as measured by the two-sample t-test.", "keywords": [ "Vehicle routing problem", "Computer science", "Cluster analysis", "Profit (economics)", "Genetic algorithm", "Schedule", "Routing (electronic design automation)", "Scheduling (production processes)", "Operations research", "Mathematical optimization", "Operations management", "Engineering" ], "cited_by_openalex": 13, "cited_by_scopus": "12", "eid": "2-s2.0-85149023743", "pii": null, "open_access_url": "https://www.mdpi.com/2227-7390/11/4/811/pdf?version=1676535587", "sources": [ { "db": "openalex", "stream": "TRUCK", "query_id": "TRUCK-3" }, { "db": "scopus", "stream": "TRUCK", "query_id": "TRUCK-3" } ], "streams": [ "TRUCK" ], "relevance_signals": [ "TRUCK_NO_CTX" ], "auto_exclude_reason": "EC-4-topic", "screening_status": "auto_excluded", "screened_by": "auto-v1.0.0" }, { "id": "doi:10.1155/2023/7399080", "doi": "10.1155/2023/7399080", "title": "Factors Influencing Technology Acceptance of Drones for Last-Mile Food Deliveries: An Adaptation of the UTAUT2 Model", "year": 2023, "authors": [ "Asish Oommen Mathew", "Srijit Chowdhury", "Sanjivani Devpura", "Anasuya Kulshekar Lingappa" ], "first_author": "Asish Oommen Mathew", "venue": "Human Behavior and Emerging Technologies", "volume": "2023", "pages": null, "type": "article", "language": "en", "abstract": "As the food delivery sector grows in importance, new delivery modes to address service issues, such as costs, swift delivery, and environmental concerns, are being researched. However, research on drone-based food delivery services is still lacking, especially in the Indian context, which the current study aims to address. The study furthered the UTAUT2 model with additional perceived risk and price sensitivity constructs. Quantitative, cross-sectional data was collected nationwide using convenience sampling through online survey questionnaires. The 323 responses were analyzed using the partial least square-structural equation modeling method. The results identified effort expectancy, social influence, and hedonic motivation as significant predictors of attitude and behavioral intention. In an emerging economy with a vast consumer base, this study may offer a preliminary standpoint for understanding the consumer perspective on drone food deliveries. The findings of this study might be necessary for businesses that deal with food delivery logistics as a point of view to formulate successful strategies.", "keywords": [ "Unified theory of acceptance and use of technology", "Expectancy theory", "Structural equation modeling", "Context (archaeology)", "Marketing", "Business", "Drone", "Psychology", "Computer science", "Geography", "Social psychology" ], "cited_by_openalex": 10, "cited_by_scopus": "12", "eid": "2-s2.0-85179652599", "pii": null, "open_access_url": "https://downloads.hindawi.com/journals/hbet/2023/7399080.pdf", "sources": [ { "db": "openalex", "stream": "UAV", "query_id": "UAV-1" }, { "db": "scopus", "stream": "UAV", "query_id": "UAV-1" } ], "streams": [ "UAV" ], "relevance_signals": [ "UAV" ], "auto_exclude_reason": null, "screening_status": "pending_human_screening", "screened_by": "auto-v1.0.0" }, { "id": "doi:10.1007/s13272-023-00693-8", "doi": "10.1007/s13272-023-00693-8", "title": "A mixed-method approach to investigate the public acceptance of drones", "year": 2023, "authors": [ "Maria Stolz", "Anne Papenfuß", "Georgia Cesar de Albuquerque Richers", "Anna Bahnmüller", "Azeem Muhammad Syed", "Andreas Gerndt", "Martin Fischer", "Jan Wegener", "Teemu Joonas Lieb", "Marcus Biella" ], "first_author": "Maria Stolz", "venue": "CEAS Aeronautical Journal", "volume": "14", "pages": "835-855", "type": "article", "language": "en", "abstract": "Abstract Drones may play an essential role in future traffic. As with every innovation, not only is the technical maturity decisive for its success, but also whether the general public will accept it. This paper uses a mixed-method approach combining quantitative and qualitative methods to investigate social acceptance concerning drones. The study included 20 participants and comprised a virtual simulation, a team task, and a group discussion. This way, different aspects of drone acceptance were investigated. On the one hand, a simulative approach was tested to explore the visual perception of drone flights in an urban setting. On the other hand, the acceptance of various drone applications such as civil protection, parcel delivery, and air taxis was studied. Furthermore, this research identified requirements for coordinating and managing future drone traffic. This paper combines two acceptance models from the literature as a theoretical framework: an adoption of Chamata’s and Winterton’s Technical Acceptance Model by Krempel and the Unacceptability–Acceptance Scale by Hofinger.", "keywords": [ "Drone", "Perception", "Scale (ratio)", "Computer science", "Management science", "Psychology", "Engineering", "Geography" ], "cited_by_openalex": 11, "cited_by_scopus": "12", "eid": "2-s2.0-85176723143", "pii": null, "open_access_url": "https://link.springer.com/content/pdf/10.1007/s13272-023-00693-8.pdf", "sources": [ { "db": "openalex", "stream": "UAV", "query_id": "UAV-1" }, { "db": "scopus", "stream": "UAV", "query_id": "UAV-1" } ], "streams": [ "UAV" ], "relevance_signals": [ "UAV" ], "auto_exclude_reason": null, "screening_status": "pending_human_screening", "screened_by": "auto-v1.0.0" }, { "id": "doi:10.1080/01605682.2023.2185548", "doi": "10.1080/01605682.2023.2185548", "title": "Truck and rotary-wing drone routing problem considering flight-level selection", "year": 2023, "authors": [ "Hongqi Li", "Feilong Wang", "Zhuopeng Zhan" ], "first_author": "Hongqi Li", "venue": "Journal of the Operational Research Society", "volume": "75", "pages": "205-223", "type": "article", "language": "en", "abstract": "Last-mile logistics is one of the most promising areas for rotary-wing drone (RWD) applications. In the literature, routing variants that use drones in collaboration with trucks assume that both drones and trucks move along arcs in two-dimensional networks. There is a need for methodological innovations to cater to more practical and general scenarios involving flight-level decisions of RWDs in the three-dimensional network. In this study, flight level is defined as the specified height at which an RWD is allowed to fly. We introduce the truck and RWD routing problem considering flight-level selection and time windows (TDRP-FT). The TDRP-FT is characterized by RWD flight-level selection, time windows, direct delivery, multiple trucks, and multiple RWDs carried by each truck. We develop a mixed-integer linear programming model and propose a hybrid algorithm based on a greedy randomized adaptive search procedure and an adaptive large neighborhood search. We experimentally evaluate the effectiveness of the TDRP-FT model and the applicability of the hybrid algorithm to small-, medium- and large-scale instances. The computational experiment results indicate that the TDRP-FT model can be used to determine how flight levels of RWDs should be selected.", "keywords": [ "Drone", "Truck", "Aeronautics", "Selection (genetic algorithm)", "Computer science", "Scheduling (production processes)", "Stall (fluid mechanics)", "Operations research", "Aerospace engineering", "Automotive engineering", "Engineering", "Operations management" ], "cited_by_openalex": 13, "cited_by_scopus": "12", "eid": "2-s2.0-85150364967", "pii": null, "open_access_url": "https://doi.org/10.1080/01605682.2023.2185548", "sources": [ { "db": "openalex", "stream": "UAV", "query_id": "UAV-1" }, { "db": "openalex", "stream": "UAV", "query_id": "UAV-2" }, { "db": "scopus", "stream": "UAV", "query_id": "UAV-1" }, { "db": "scopus", "stream": "UAV", "query_id": "UAV-2" } ], "streams": [ "UAV" ], "relevance_signals": [ "UAV", "TRUCK" ], "auto_exclude_reason": null, "screening_status": "pending_human_screening", "screened_by": "auto-v1.0.0" }, { "id": "doi:10.3390/rs15092227", "doi": "10.3390/rs15092227", "title": "UAV Network Path Planning and Optimization Using a Vehicle Routing Model", "year": 2023, "authors": [ "Xiaotong Chen", "Qin Li", "Ronghao Li", "Xiangyuan Cai", "Jiangnan Wei", "Hongying Zhao" ], "first_author": "Xiaotong Chen", "venue": "Remote Sensing", "volume": "15", "pages": null, "type": "article", "language": "en", "abstract": "Unmanned aerial vehicle (UAV) remote sensing has been applied in various fields due to its rapid implementation ability and high-resolution imagery. Single-UAV remote sensing has low efficiency and struggles to meet the growing demands of complex aerial remote sensing tasks, posing challenges for practical applications. Using multiple UAVs or a UAV network for remote sensing applications can overcome the difficulties and provide large-scale ultra-high-resolution data rapidly. UAV network path planning is required for these important applications. However, few studies have investigated UAV network path planning for remote sensing observations, and existing methods have various problems in practical applications. This paper proposes an optimization algorithm for UAV network path planning based on the vehicle routing problem (VRP). The algorithm transforms the task assignment problem of the UAV network into a VRP and optimizes the task assignment result by minimizing the observation time of the UAV network. The optimized path plan prevents route crossings effectively. The accuracy and validity of the proposed algorithms were verified by simulations. Moreover, comparative experiments with different task allocation objectives further validated the applicability of the proposed algorithm for various remote sensing applications", "keywords": [ "Computer science", "Real-time computing", "Task (project management)", "Path (computing)", "Motion planning", "Routing (electronic design automation)", "Remote sensing", "Artificial intelligence", "Computer network", "Robot", "Systems engineering", "Engineering" ], "cited_by_openalex": 18, "cited_by_scopus": "12", "eid": "2-s2.0-85159295504", "pii": null, "open_access_url": "https://www.mdpi.com/2072-4292/15/9/2227/pdf?version=1682268629", "sources": [ { "db": "openalex", "stream": "UAV", "query_id": "UAV-2" }, { "db": "scopus", "stream": "UAV", "query_id": "UAV-2" } ], "streams": [ "UAV" ], "relevance_signals": [ "UAV_NO_CTX" ], "auto_exclude_reason": "EC-4-topic", "screening_status": "auto_excluded", "screened_by": "auto-v1.0.0" }, { "id": "doi:10.1109/globecom54140.2023.10437287", "doi": "10.1109/globecom54140.2023.10437287", "title": "Routing Recovery for UAV Networks with Deliberate Attacks: A Reinforcement Learning based Approach", "year": 2023, "authors": [ "Sijie He", "Ziye Jia", "Chao Dong", "Wei Wang", "Yilu Cao", "Yang Yang", "Qihui Wu" ], "first_author": "Sijie He", "venue": "Proceedings IEEE Global Communications Conference Globecom", "volume": null, "pages": "952-957", "type": "conference-paper", "language": "en", "abstract": "The unmanned aerial vehicle (UAV) network is popular these years due to its various applications. In the UAV network, routing is significantly affected by the distributed network topology, leading to the issue that UAVs are vulnerable to deliberate damage. Hence, this paper focuses on the routing plan and recovery for UAV networks with attacks. In detail, a deliberate attack model based on the importance of nodes is designed to represent enemy attacks. Then, a node importance ranking mechanism is presented, considering the degree of nodes and link importance. However, it is intractable to handle the routing problem by traditional methods for UAV networks, since link connections change with the UAV availability. Hence, an intelligent algorithm based on reinforcement learning is proposed to recover the routing path when UAVs are attacked. Simulations are conducted and numerical results verify the proposed mechanism performs better than other referred methods.", "keywords": [ "Reinforcement learning", "Computer science", "Routing (electronic design automation)", "Computer network", "Computer security", "Artificial intelligence" ], "cited_by_openalex": 10, "cited_by_scopus": "12", "eid": "2-s2.0-85187407890", "pii": null, "open_access_url": "https://doi.org/10.1109/globecom54140.2023.10437287", "sources": [ { "db": "openalex", "stream": "UAV", "query_id": "UAV-2" }, { "db": "scopus", "stream": "UAV", "query_id": "UAV-2" } ], "streams": [ "UAV" ], "relevance_signals": [ "UAV_NO_CTX" ], "auto_exclude_reason": "EC-4-topic", "screening_status": "auto_excluded", "screened_by": "auto-v1.0.0" }, { "id": "doi:10.13196/j.cims.2023.07.025", "doi": "10.13196/j.cims.2023.07.025", "title": "Pickup and delivery problem with time windows in mode of \"truck +drone\"", "year": 2023, "authors": [ "Wu T." ], "first_author": "Wu T.", "venue": "Jisuanji Jicheng Zhizao Xitong Computer Integrated Manufacturing Systems CIMS", "volume": "29", "pages": "2440-2448", "type": "Article", "language": null, "abstract": null, "keywords": [], "cited_by_openalex": 0, "cited_by_scopus": "12", "eid": "2-s2.0-85173065236", "pii": null, "open_access_url": null, "sources": [ { "db": "scopus", "stream": "UAV", "query_id": "UAV-2" } ], "streams": [ "UAV" ], "relevance_signals": [ "UAV_NO_CTX", "TRUCK_NO_CTX" ], "auto_exclude_reason": "EC-4-topic", "screening_status": "auto_excluded", "screened_by": "auto-v1.0.0" }, { "id": "title:energy aware uav path planning with adaptive speed", "doi": null, "title": "Energy-aware UAV Path Planning with Adaptive Speed", "year": 2023, "authors": [ "Diller J." ], "first_author": "Diller J.", "venue": "Proceedings of the International Joint Conference on Autonomous Agents and Multiagent Systems Aamas", "volume": "2023-May", "pages": "923-931", "type": "Conference Paper", "language": null, "abstract": null, "keywords": [], "cited_by_openalex": 0, "cited_by_scopus": "12", "eid": "2-s2.0-85171295006", "pii": null, "open_access_url": null, "sources": [ { "db": "scopus", "stream": "UAV", "query_id": "UAV-2" } ], "streams": [ "UAV" ], "relevance_signals": [ "UAV_NO_CTX" ], "auto_exclude_reason": "EC-4-topic", "screening_status": "auto_excluded", "screened_by": "auto-v1.0.0" }, { "id": "doi:10.1080/23249935.2023.2282963", "doi": "10.1080/23249935.2023.2282963", "title": "Coordinated logistics with trucks and drones for premium delivery", "year": 2023, "authors": [ "Dongwook Kim", "Chang Seong Ko", "Ilkyeong Moon" ], "first_author": "Dongwook Kim", "venue": "Transportmetrica A Transport Science", "volume": "21", "pages": null, "type": "article", "language": "en", "abstract": "Last-mile delivery, the final stage of the delivery process before a package arrives at a customer's address, has emerged as an important business opportunity for inland transportation. As people's perception of last-mile delivery has changed, more customers are using premium delivery services to get the delivery at a specific time rather than just pursuing free shipping. In order to satisfy the new trend of logistics, we propose a delivery system in which several drones and trucks work together to provide service to customers within given time windows. In addition, pair constraints, which considered a truck and a drone as a pair, are relaxed to determine more flexible delivery plans. A three-stage savings-based heuristic procedure was also developed based on the concept of savings to determine the operations of trucks and drones in real-world settings. We found that the drone efficiently responds to urgent delivery requests from customers and that a delivery system that utilises both trucks and drones provides substantial benefits.", "keywords": [ "Drone", "Truck", "Last mile (transportation)", "Transport engineering", "Service (business)", "Order (exchange)", "Process (computing)", "Business", "Computer science", "Marketing", "Engineering", "Mile" ], "cited_by_openalex": 15, "cited_by_scopus": "11", "eid": "2-s2.0-85177057623", "pii": null, "open_access_url": "https://doi.org/10.1080/23249935.2023.2282963", "sources": [ { "db": "openalex", "stream": "TRUCK", "query_id": "TRUCK-1" }, { "db": "openalex", "stream": "UAV", "query_id": "UAV-1" }, { "db": "scopus", "stream": "TRUCK", "query_id": "TRUCK-1" }, { "db": "scopus", "stream": "UAV", "query_id": "UAV-1" }, { "db": "scopus", "stream": "UAV", "query_id": "UAV-2" } ], "streams": [ "TRUCK", "UAV" ], "relevance_signals": [ "UAV", "TRUCK" ], "auto_exclude_reason": null, "screening_status": "pending_human_screening", "screened_by": "auto-v1.0.0" }, { "id": "doi:10.3390/systems11080403", "doi": "10.3390/systems11080403", "title": "Modeling a Carbon-Efficient Road–Rail Intermodal Routing Problem with Soft Time Windows in a Time-Dependent and Fuzzy Environment by Chance-Constrained Programming", "year": 2023, "authors": [ "Yan Sun", "Guohua Sun", "Baoliang Huang", "Jie Ge" ], "first_author": "Yan Sun", "venue": "Systems", "volume": "11", "pages": null, "type": "article", "language": "en", "abstract": "This study explores a road–rail intermodal routing problem. To improve the carbon efficiency of transportation, reducing CO2 emissions is considered by the routing. Soft time windows are incorporated into the routing to optimize the timeliness of the first-mile pickup and last-mile delivery services in intermodal transportation. The routing is further modeled in a time-dependent and fuzzy environment where the average truck speeds of the road depend on the truck departure times and are simultaneously considered fuzzy along with rail capacities. The fuzzy truck speed leads to the fuzziness of three aspects, including speed-dependent CO2 emissions of the road, a timetable-constrained transfer process from road to rail, and delivery time window violation. This study formulates the routing problem under the above considerations and carbon tax regulation as a combination of transportation path planning problem and truck departure time and speed matching problem. A fuzzy nonlinear optimization model is then established for the proposed routing problem. Furthermore, chance-constrained programming with general fuzzy measure is used to conduct the defuzzification of the model to make the problem solvable, and linearization techniques are adopted to linearize the model to enhance the efficiency of problem-solving. Finally, this study presents an empirical case to demonstrate the effectiveness of the designed approach. This case study evaluates the performance of carbon tax regulation by comparing it with multi-objective optimization. It also focuses on sensitivity analysis to discuss the influence of the optimistic–pessimistic parameter and confidence level on the optimization results. Several managerial insights are revealed based on the case study.", "keywords": [ "Fuzzy logic", "Routing (electronic design automation)", "Mathematical optimization", "Truck", "Computer science", "Vehicle routing problem", "Operations research", "Path (computing)", "Transport engineering", "Engineering", "Automotive engineering", "Mathematics" ], "cited_by_openalex": 14, "cited_by_scopus": "11", "eid": "2-s2.0-85169122586", "pii": null, "open_access_url": "https://www.mdpi.com/2079-8954/11/8/403/pdf?version=1691313973", "sources": [ { "db": "openalex", "stream": "TRUCK", "query_id": "TRUCK-1" }, { "db": "scopus", "stream": "TRUCK", "query_id": "TRUCK-1" } ], "streams": [ "TRUCK" ], "relevance_signals": [ "TRUCK" ], "auto_exclude_reason": null, "screening_status": "pending_human_screening", "screened_by": "auto-v1.0.0" }, { "id": "doi:10.1016/j.jtrangeo.2023.103777", "doi": "10.1016/j.jtrangeo.2023.103777", "title": "Assessment of freight accessibility in New York City: A spatial-temporal approach", "year": 2023, "authors": [ "Carlos Rivera-González", "Julia Coutinho Amaral" ], "first_author": "Carlos Rivera-González", "venue": "Journal of Transport Geography", "volume": "114", "pages": null, "type": "article", "language": "en", "abstract": null, "keywords": [ "Metropolitan area", "Traffic management", "Context (archaeology)", "Transport engineering", "Externality", "Business", "Land use", "City logistics", "Vehicle miles of travel", "Greenhouse gas", "Truck", "Traffic congestion" ], "cited_by_openalex": 13, "cited_by_scopus": "11", "eid": "2-s2.0-85181117470", "pii": "S0966692323002491", "open_access_url": "https://doi.org/10.1016/j.jtrangeo.2023.103777", "sources": [ { "db": "openalex", "stream": "TRUCK", "query_id": "TRUCK-1" }, { "db": "scopus", "stream": "TRUCK", "query_id": "TRUCK-1" } ], "streams": [ "TRUCK" ], "relevance_signals": [ "TRUCK" ], "auto_exclude_reason": null, "screening_status": "pending_human_screening", "screened_by": "auto-v1.0.0" }, { "id": "doi:10.1016/j.jer.2023.100015", "doi": "10.1016/j.jer.2023.100015", "title": "Transportation cost reduction using cross-docks linking", "year": 2023, "authors": [ "Hasan Hosseini-Nasab", "Saeid Nasrollahi", "Mohammad Bagher Fakhrzad", "Mahboobeh Honarvar" ], "first_author": "Hasan Hosseini-Nasab", "venue": "Journal of Engineering Research", "volume": "11", "pages": null, "type": "article", "language": "en", "abstract": "Many kinds of research have been done to reduce shipping costs so far. Using different transportation systems such as direct shipping, product consolidation, indirect shipping via cross-docks, and using vehicles with different capacities are some methods that can reduce transportation costs. Cross-docking is a logistics procedure that decreases transportation costs typically. Establishing links between cross-docks and using heterogeneous trucks could decrease the total cost of a supply chain, which is investigated in this paper. The problem is mathematically formulated and various simulated problems with different parameters are investigated. Then a real-world case study of the Agri-product supply chain in Isfahan, Iran, is addressed. For the case study examined, the total transportation cost for the proposed method was reduced by 36% compared to the model without establishing links between cross-docks with the same parameters.", "keywords": [ "Truck", "Supply chain", "Consolidation (business)", "Total cost", "Cost reduction", "Operations research", "Computer science", "Transport engineering", "Product (mathematics)", "Business", "Engineering", "Automotive engineering" ], "cited_by_openalex": 11, "cited_by_scopus": "11", "eid": "2-s2.0-85149042713", "pii": "S2307187723000159", "open_access_url": "https://doi.org/10.1016/j.jer.2023.100015", "sources": [ { "db": "openalex", "stream": "TRUCK", "query_id": "TRUCK-3" }, { "db": "scopus", "stream": "TRUCK", "query_id": "TRUCK-3" } ], "streams": [ "TRUCK" ], "relevance_signals": [ "TRUCK_NO_CTX" ], "auto_exclude_reason": "EC-4-topic", "screening_status": "auto_excluded", "screened_by": "auto-v1.0.0" }, { "id": "doi:10.1016/j.tre.2023.103282", "doi": "10.1016/j.tre.2023.103282", "title": "Inter-terminal transportation for an offshore port integrating an inland container depot", "year": 2023, "authors": [ "Pengliang Cao", "Yujing Zheng", "Kum Fai Yuen", "Yuxiong Ji" ], "first_author": "Pengliang Cao", "venue": "Transportation Research Part E Logistics and Transportation Review", "volume": "178", "pages": null, "type": "article", "language": "en", "abstract": null, "keywords": [ "Truck", "Container (type theory)", "Port (circuit theory)", "Transport engineering", "Bottleneck", "Throughput", "Traffic congestion", "Computer science", "Marine engineering", "Operations research", "Engineering", "Operations management" ], "cited_by_openalex": 9, "cited_by_scopus": "11", "eid": "2-s2.0-85172015199", "pii": "S1366554523002703", "open_access_url": "https://doi.org/10.1016/j.tre.2023.103282", "sources": [ { "db": "openalex", "stream": "TRUCK", "query_id": "TRUCK-3" }, { "db": "scopus", "stream": "TRUCK", "query_id": "TRUCK-3" } ], "streams": [ "TRUCK" ], "relevance_signals": [ "TRUCK_NO_CTX" ], "auto_exclude_reason": "EC-4-topic", "screening_status": "auto_excluded", "screened_by": "auto-v1.0.0" }, { "id": "doi:10.1080/01605682.2023.2210604", "doi": "10.1080/01605682.2023.2210604", "title": "The cost of carrier consistency: Last-mile delivery by vehicle and drone for subscription-based orders", "year": 2023, "authors": [ "Amro M. El-Adle", "Ahmed Eisa Ghoniem", "Mohamed Haouari" ], "first_author": "Amro M. El-Adle", "venue": "Journal of the Operational Research Society", "volume": "75", "pages": "821-840", "type": "article", "language": "en", "abstract": "We investigate a deterministic last-mile delivery problem in which a firm delivering scheduled orders determines a subset of customers to be prioritized for drone delivery, relegating the rest to vehicle delivery. The vehicle and drone deliver in tandem over a planning horizon. The problem is amenable to a multi-day Traveling Salesman Problem with Drone, with consistency in the assignment of customers to each carrier across all days. We develop a mixed-integer program (MIP) that yields provably optimal solutions for instances having up to 40 customers over a 6-day horizon. We also devise a heuristic underpinned by the MIP to effectively and accurately prioritize customers for drone delivery. A computational study involving instances with up to 150 customers ordering over 6 days shows the matheuristic often matching the results of the proposed MIP, and also reveals a logistical burden of less than 0.5% on average over a solution lacking carrier consistency..", "keywords": [ "Drone", "Computer science", "Last mile (transportation)", "Heuristics", "Integer programming", "Travelling salesman problem", "Heuristic", "Operations research", "Time horizon", "Matching (statistics)", "Consistency (knowledge bases)", "Vehicle routing problem" ], "cited_by_openalex": 10, "cited_by_scopus": "11", "eid": "2-s2.0-85159358019", "pii": null, "open_access_url": "https://doi.org/10.1080/01605682.2023.2210604", "sources": [ { "db": "openalex", "stream": "UAV", "query_id": "UAV-1" }, { "db": "scopus", "stream": "UAV", "query_id": "UAV-1" } ], "streams": [ "UAV" ], "relevance_signals": [ "UAV" ], "auto_exclude_reason": null, "screening_status": "pending_human_screening", "screened_by": "auto-v1.0.0" }, { "id": "doi:10.1109/icst59744.2023.10460847", "doi": "10.1109/icst59744.2023.10460847", "title": "Aerodynamics and Sensing Analysis for Efficient Drone-Based Parcel Delivery", "year": 2023, "authors": [ "Avishkar Seth", "Alice James", "Endrowednes Kuantama", "Subhas Chandra Mukhopadhyay", "Richard Y. Han" ], "first_author": "Avishkar Seth", "venue": "Proceedings of the International Conference on Sensing Technology Icst", "volume": null, "pages": null, "type": "conference-paper", "language": "en", "abstract": "In an era of rapid urbanization and e-commerce growth, efficient parcel delivery methods are crucial. This paper presents a detailed study of the aerodynamics and sensing analysis of drones for parcel delivery. Utilizing Computational Fluid Dynamics (CFD), the study offers a comprehensive airflow analysis, revealing the aerodynamic forces affecting drone stability due to payload capacity. A multidisciplinary approach is employed, integrating mechanical design, control theory, and sensing systems to address the complex issue of parcel positioning. The experimental validation section rigorously tests different size payloads and their positions and impact on drones with maximum thrusts of 2000 gf. The findings prove the drone’s capacity to lift a large payload that covers up to 50 percent of the propeller, thereby contributing to optimizing drone designs and sustainable parcel delivery systems. It has been observed that the drone can lift a large payload smoothly when placed above the drone, with an error rate as low as 0.1 percent for roll, pitch, and yaw. This work paved the way for more versatile, real-world applications of drone technology, setting a new standard in the field.", "keywords": [ "Drone", "Payload (computing)", "Aerodynamics", "Computer science", "Aerospace engineering", "Lift (data mining)", "Computational fluid dynamics", "Simulation", "Marine engineering", "Engineering", "Computer security" ], "cited_by_openalex": 17, "cited_by_scopus": "11", "eid": "2-s2.0-85189333215", "pii": null, "open_access_url": "https://arxiv.org/pdf/2410.20584", "sources": [ { "db": "openalex", "stream": "UAV", "query_id": "UAV-1" }, { "db": "scopus", "stream": "UAV", "query_id": "UAV-1" } ], "streams": [ "UAV" ], "relevance_signals": [ "UAV" ], "auto_exclude_reason": null, "screening_status": "pending_human_screening", "screened_by": "auto-v1.0.0" }, { "id": "doi:10.1016/j.ejor.2023.10.015", "doi": "10.1016/j.ejor.2023.10.015", "title": "Drone routing problem with swarm synchronization", "year": 2023, "authors": [ "Hongqi Li", "Feilong Wang", "Zhuopeng Zhan" ], "first_author": "Hongqi Li", "venue": "European Journal of Operational Research", "volume": "314", "pages": "477-495", "type": "article", "language": "en", "abstract": "The advantages of rotary-wing drone (RWD) delivery modes have already been delineated. However, single-unit RWDs do not completely solve real problems in last-mile parcel deliveries because of limited payload capacity and flight endurance. Currently, drone swarm technology is being rapidly developed. An RWD swarm can deliver heavy or multiple packages to customers; therefore, the RWD swarm strategy can address the payload capacity limitation of RWDs. Herein, an RWD delivery mode that involves dynamic swarms of RWDs in addition to single-unit RWDs is explored. The “dynamic” characteristic permits the RWD members in swarms to vary by coupling/decoupling operations at nodes. From the routing plan perspective, using RWD swarms for last-mile parcel deliveries is challenging; accordingly, we introduce a swarm synchronization mode that involves interactions among RWD routes. We formally define the drone routing problem with swarm synchronization (DRP-SS) and develop a mixed-integer linear programming model, which considers the decision on RWD swarms and multi trips. An adaptive large neighborhood search heuristic with specific operators is proposed. In the computational experiments, both small- and large-scale instances are used to validate the effectiveness of the mathematical formulation and the heuristic. Several managerial insights are obtained regarding the influence of detours, the utilization of RWD swarms, and the benefits of multi trips. The DRP-SS model and solution method can be used to estimate the performance of the selection of RWD swarms in practical situations.", "keywords": [ "Swarm behaviour", "Computer science", "Payload (computing)", "Mathematical optimization", "Drone", "Heuristic", "Scheduling (production processes)", "Synchronization (alternating current)", "Reservation", "Distributed computing", "Artificial intelligence", "Mathematics" ], "cited_by_openalex": 14, "cited_by_scopus": "11", "eid": "2-s2.0-85174453164", "pii": "S0377221723007725", "open_access_url": "https://doi.org/10.1016/j.ejor.2023.10.015", "sources": [ { "db": "openalex", "stream": "UAV", "query_id": "UAV-1" }, { "db": "openalex", "stream": "UAV", "query_id": "UAV-2" }, { "db": "scopus", "stream": "UAV", "query_id": "UAV-1" }, { "db": "scopus", "stream": "UAV", "query_id": "UAV-2" } ], "streams": [ "UAV" ], "relevance_signals": [ "UAV" ], "auto_exclude_reason": null, "screening_status": "pending_human_screening", "screened_by": "auto-v1.0.0" }, { "id": "doi:10.1109/ase56229.2023.00020", "doi": "10.1109/ase56229.2023.00020", "title": "EXPRESS 2.0: An Intelligent Service Management Framework for AIoT Systems in the Edge", "year": 2023, "authors": [ "Xu Jia", "Xiao Liu", "Wuzhen Pan", "Xuejun Li", "Aiting Yao", "Yun Jin Yang" ], "first_author": "Xu Jia", "venue": "Proceedings 2023 38th IEEE ACM International Conference on Automated Software Engineering Ase 2023", "volume": null, "pages": "2022-2025", "type": "conference-paper", "language": "en", "abstract": "AIoT (Artificial Intelligence of Things) which integrates AI and IoT has received rapidly growing interest from the software engineering community in recent years. It is crucial to design scalable, efficient, and reliable software solutions for large-scale AIoT systems in edge computing environments. However, the lack of effective service management including the support for service collaboration, AI application, and data security in the edge, has seriously limited the development of AIoT systems. To seal this gap, we propose EXPRESS 2.0 which is an intelligent service management framework for AI oT in the edge. Specifically, on top of the existing EXPRESS platform, EXPRESS 2.0 includes the intelligent service collaboration management module, AI application management module, and data security management module. To demonstrate the effectiveness of the framework, we design and implement a last-mile delivery system using both UAVs (Unmanned Aerial Vehicles) and UGVs (Unmanned Ground Vehicles). The EXPRESS 2.0 is open-sourced at https://github.com/ISEC-AHU/EXPRESS2.0. A video demonstration of EXPRESS 2.0 is at https://youtu.be/GHKD_VvJD88.", "keywords": [ "Computer science", "Scalability", "Edge computing", "Service (business)", "Enhanced Data Rates for GSM Evolution", "Service management", "Management system", "Software engineering", "Software", "Computer security", "Database", "Operating system" ], "cited_by_openalex": 7, "cited_by_scopus": "11", "eid": "2-s2.0-85179003094", "pii": null, "open_access_url": "https://figshare.com/articles/conference_contribution/EXPRESS_2_0_An_Intelligent_Service_Management_Framework_for_AIoT_Systems_in_the_Edge/24814782", "sources": [ { "db": "openalex", "stream": "UAV", "query_id": "UAV-1" }, { "db": "scopus", "stream": "UAV", "query_id": "UAV-1" } ], "streams": [ "UAV" ], "relevance_signals": [ "UAV" ], "auto_exclude_reason": null, "screening_status": "pending_human_screening", "screened_by": "auto-v1.0.0" }, { "id": "doi:10.2514/1.d0320", "doi": "10.2514/1.d0320", "title": "Ground Crash Area Estimation of Quadrotor Aircraft Under Propulsion Failure", "year": 2023, "authors": [ "Mohd Hasrizam Che Man", "Anush Kumar Sivakumar", "Hu Haoliang", "Kin Huat Low" ], "first_author": "Mohd Hasrizam Che Man", "venue": "Journal of Air Transportation", "volume": "31", "pages": "98-112", "type": "article", "language": "en", "abstract": "Small unmanned aircraft systems or drones are expected to be used for different applications, such as parcel delivery, inspection, and aerial photography, in urban areas. However, drones usually use an electric system to power up the propulsion, communications, navigation, and flight control system, which means that it is not as reliable as the manned aircraft system and may result in failure during operation and then crash to the ground. At present, there is almost no extensive publication about the high-fidelity modeling used by drones to calculate the crash trajectory and point of crash. The experimental data for modeling and simulation verification of multirotor aircraft are limited. So far, crash trajectory prediction has been limited to point mass or ballistic methods, and these methods are usually only suitable for complete power failure and without any control system. This study intends to investigate the effects of different multirotor drones’ failure modes on its crash trajectory and crash area compared to the ballistic model by using ADAMS and MATLAB cosimulation methods. Conclusions from the study show the crash trajectory, flight distance, and impact speed of the drones under four failure modes, which are quite different from the ballistic trajectory. The findings can potentially contribute to better risk assessment of the multirotor drones for the urban environment operation.", "keywords": [ "Multirotor", "Crash", "Drone", "Trajectory", "Propulsion", "Aeronautics", "Computer science", "Engineering", "Aerospace engineering", "Simulation" ], "cited_by_openalex": 11, "cited_by_scopus": "11", "eid": "2-s2.0-85165652799", "pii": null, "open_access_url": "https://dr.ntu.edu.sg/bitstream/10356/167368/3/2022-04-D0320-Manuscript-Final.pdf", "sources": [ { "db": "openalex", "stream": "UAV", "query_id": "UAV-1" }, { "db": "scopus", "stream": "UAV", "query_id": "UAV-1" } ], "streams": [ "UAV" ], "relevance_signals": [ "UAV" ], "auto_exclude_reason": null, "screening_status": "pending_human_screening", "screened_by": "auto-v1.0.0" }, { "id": "doi:10.1109/mits.2023.3306969", "doi": "10.1109/mits.2023.3306969", "title": "Intelligent Distribution Transportation Route Planning Considering Traffic Congestion", "year": 2023, "authors": [ "Jiajing Gao", "Lu Zhen" ], "first_author": "Jiajing Gao", "venue": "IEEE Intelligent Transportation Systems Magazine", "volume": null, "pages": null, "type": "article", "language": "en", "abstract": "The vehicle routing problem is the main content of intelligent transportation and plays a very important role in the logistics industry. Trucks and unmanned aerial vehicles (UAVs) collaborative delivery is an emerging intelligent delivery mode that can deliver packages in a more timely and efficient manner than traditional delivery models. A multitrucks’-and-UAVs’ cooperative delivery problem considering congestion is studied, and a mathematical model is established, minimizing total costs. A heuristic algorithm for column generation is proposed. In addition, we design a dynamic programming algorithm that solves the pricing problem. Finally, numerical experiments are carried out, and a sensitivity analysis is also conducted to derive implications for management.", "keywords": [ "Truck", "Column generation", "Heuristic", "Routing (electronic design automation)", "Vehicle routing problem", "Computer science", "Intelligent transportation system", "Traffic congestion", "Operations research", "Transport engineering", "Engineering", "Computer network" ], "cited_by_openalex": 11, "cited_by_scopus": 0, "eid": null, "pii": null, "open_access_url": "https://doi.org/10.1109/mits.2023.3306969", "sources": [ { "db": "openalex", "stream": "UAV", "query_id": "UAV-2" } ], "streams": [ "UAV" ], "relevance_signals": [ "UAV_NO_CTX", "TRUCK_NO_CTX" ], "auto_exclude_reason": "EC-4-topic", "screening_status": "auto_excluded", "screened_by": "auto-v1.0.0" }, { "id": "doi:10.2514/6.2023-3965", "doi": "10.2514/6.2023-3965", "title": "An In-time Aviation Safety Management System (IASMS) Concept of Operations for Vertiport Design and Operations", "year": 2023, "authors": [ "Kyle Kent Edward Ellis", "Lawrence J. Prinzel", "Misty Davies", "Jeffrey R. Homola", "Louis J. Glaab", "Paul A. Krois", "Nikunj C. Oza", "Robert W. Mah", "Chad L. Stephens", "Michael J. Vincent", "James Ackerson", "Samantha Indre Infeld" ], "first_author": "Kyle Kent Edward Ellis", "venue": "AIAA Aviation and Aeronautics Forum and Exposition AIAA Aviation Forum 2023", "volume": null, "pages": null, "type": "conference-paper", "language": "en", "abstract": "View Video Presentation: https://doi.org/10.2514/6.2023-3965.vid The National Airspace System is foreseen to undergo revolutionary change with Urban Air Mobility (UAM) and its use of vertiports to transport passengers and cargo. To assure safety with UAM and more broadly with Advanced Air Mobility (AAM), the National Academies recommended an In-time Aviation Safety Management System (IASMS) that is extensible to the design and operation of vertiports. Vertiport designs will scale in several dimensions including physical size and infrastructure depending upon location and in the Services, Functions, and Capabilities required for assuring safety with increasingly complex vertiport designs and operations. These operations will be enabled by evolving technologies including electric vertical takeoff and landing (eVTOL) aircraft for passenger- and cargo-carrying commercial transportation. Within this construct, safety hazards and risk mitigations involving predictive data analytics and modeling will be used. Use cases and future challenges are examined to guide maturation of the IASMS ConOps for vertiports.", "keywords": [ "Aviation", "Takeoff", "National Airspace System", "Takeoff and landing", "Construct (python library)", "Systems engineering", "Analytics", "Transport engineering", "Aeronautics", "Aviation safety", "Air transport", "Computer science" ], "cited_by_openalex": 8, "cited_by_scopus": "11", "eid": "2-s2.0-85194169799", "pii": null, "open_access_url": "https://doi.org/10.2514/6.2023-3965", "sources": [ { "db": "openalex", "stream": "UAV", "query_id": "UAV-3" }, { "db": "scopus", "stream": "UAV", "query_id": "UAV-3" } ], "streams": [ "UAV" ], "relevance_signals": [ "UAV_NO_CTX" ], "auto_exclude_reason": "EC-4-topic", "screening_status": "auto_excluded", "screened_by": "auto-v1.0.0" }, { "id": "doi:10.1109/dasc58513.2023.10311144", "doi": "10.1109/dasc58513.2023.10311144", "title": "Sensitivity Analysis of Fleet Size for Urban Air Mobility", "year": 2023, "authors": [ "Jungu Kang", "Sang Hyun Kim" ], "first_author": "Jungu Kang", "venue": "AIAA IEEE Digital Avionics Systems Conference Proceedings", "volume": null, "pages": null, "type": "conference-paper", "language": "en", "abstract": "Fleet size plays a crucial role in determining Urban Air Mobility (UAM) operational performance, such as passenger waiting time, rejection rate, and vehicle utilization. Since the UAM operational performance affects UAM demand and indicates the efficiency of operation, the fleet size needs to be appropriately determined. This study aims to analyze the impact of fleet size on the UAM operational performance, and a discrete event simulation is built for the analysis. The result shows that passenger waiting time and rejection rate are highly dependent on fleet size, and vehicle utilization and load factor are marginally related to fleet size. The result also shows that passenger waiting time and vehicle utilization improve up to a certain fleet size, and vehicle utilization decreases beyond that fleet size. Thus, this study suggests a fleet size that is beneficial to both passengers and UAM operators. The UAM operational performance is also analyzed for each vertiport in the vertiport network and can be used to determine the maximum number of vehicles assigned to the vertiports. This study can help stakeholders make strategic and tactical decisions such as vertiport capacity determination and fleet management, respectively.", "keywords": [ "Fleet management", "Sensitivity (control systems)", "Load factor", "Discrete event simulation", "Computer science", "Transport engineering", "Automotive engineering", "Environmental science", "Operations research", "Simulation", "Engineering", "Aerospace engineering" ], "cited_by_openalex": 6, "cited_by_scopus": "11", "eid": "2-s2.0-85178658059", "pii": null, "open_access_url": "https://doi.org/10.1109/dasc58513.2023.10311144", "sources": [ { "db": "openalex", "stream": "UAV", "query_id": "UAV-3" }, { "db": "scopus", "stream": "UAV", "query_id": "UAV-3" } ], "streams": [ "UAV" ], "relevance_signals": [ "UAV_NO_CTX" ], "auto_exclude_reason": "EC-4-topic", "screening_status": "auto_excluded", "screened_by": "auto-v1.0.0" }, { "id": "doi:10.2514/6.2023-2680", "doi": "10.2514/6.2023-2680", "title": "A Structurally-Adaptive Framework for Distributed Airborne Sensing over Real-time Collaborative Information Sharing Networks", "year": 2023, "authors": [ "Corey A. Ippolito" ], "first_author": "Corey A. Ippolito", "venue": "AIAA SCITECH 2023 Forum", "volume": null, "pages": null, "type": "conference-paper", "language": "en", "abstract": "View Video Presentation: https://doi.org/10.2514/6.2023-2680.vid The emergence and maturation of wireless communication technologies continue to transform the aviation industry and are enabling new solutions to challenges faced by NASA’s Advanced Air Mobility (AAM) initiative. AAM is leading towards high-density autonomous aircraft operations in areas underserved by traditional aviation, such as over densely populated urban centers. In this paper, we build on concepts from distributed sensing and smart spaces - where sensing, processing, and communication are embedded in an environment, and agents are operating within the space can exploit these capabilities in real-time through collaborative information sharing networks. Building from these concepts, we propose a framework to enable a dynamic, topologically-adaptive, and distributed estimation system for man-rated aviation to address challenges faced by autonomous AAM operations. This paper presents the initial concept of operations and system design for this framework, presents a mathematical formulation for abstraction of the problem, identifies requirements and constraints for operation, and presents algorithmic constructs to demonstrate operation. The initial framework design will focus on supporting precision navigation and independent surveillance supporting conformance monitoring of aircraft in airspace corridors and vertiport airspaces. Preliminary results from this framework shows promise in addressing gaps in current technologies needed to enable future AAM concepts, while promising greater capabilities, performance, robustness, and safety over current aviation systems and operations.", "keywords": [ "Robustness (evolution)", "Computer science", "Abstraction", "Exploit", "Aviation", "Distributed computing", "Wireless", "Focus (optics)", "Systems engineering", "Computer security", "Engineering", "Telecommunications" ], "cited_by_openalex": 4, "cited_by_scopus": "11", "eid": "2-s2.0-85196828450", "pii": null, "open_access_url": "https://doi.org/10.2514/6.2023-2680", "sources": [ { "db": "openalex", "stream": "UAV", "query_id": "UAV-3" }, { "db": "scopus", "stream": "UAV", "query_id": "UAV-3" } ], "streams": [ "UAV" ], "relevance_signals": [ "UAV_NO_CTX" ], "auto_exclude_reason": "EC-4-topic", "screening_status": "auto_excluded", "screened_by": "auto-v1.0.0" }, { "id": "doi:10.1177/03611981221101893", "doi": "10.1177/03611981221101893", "title": "Using Machine Learning to Predict Freight Vehicles’ Demand for Loading Zones in Urban Environments", "year": 2023, "authors": [ "Ludowieg A.R." ], "first_author": "Ludowieg A.R.", "venue": "Transportation Research Record", "volume": "2677", "pages": "829-842", "type": "Article", "language": null, "abstract": null, "keywords": [], "cited_by_openalex": 0, "cited_by_scopus": "11", "eid": "2-s2.0-85139791467", "pii": null, "open_access_url": null, "sources": [ { "db": "scopus", "stream": "TRUCK", "query_id": "TRUCK-1" } ], "streams": [ "TRUCK" ], "relevance_signals": [ "TRUCK_NO_CTX" ], "auto_exclude_reason": "EC-4-topic", "screening_status": "auto_excluded", "screened_by": "auto-v1.0.0" }, { "id": "doi:10.3390/su152215718", "doi": "10.3390/su152215718", "title": "Understanding the Challenges Facing Decarbonization in the E-Commerce Logistics Sector in Latin America", "year": 2023, "authors": [ "Jurburg D." ], "first_author": "Jurburg D.", "venue": "Sustainability Switzerland", "volume": "15", "pages": null, "type": "Article", "language": null, "abstract": null, "keywords": [], "cited_by_openalex": 0, "cited_by_scopus": "11", "eid": "2-s2.0-85191961064", "pii": null, "open_access_url": null, "sources": [ { "db": "scopus", "stream": "TRUCK", "query_id": "TRUCK-2" } ], "streams": [ "TRUCK" ], "relevance_signals": [ "NO_TECHNOLOGY_MATCH" ], "auto_exclude_reason": "EC-4-topic", "screening_status": "auto_excluded", "screened_by": "auto-v1.0.0" }, { "id": "doi:10.13587/j.cnki.jieem.2023.02.013", "doi": "10.13587/j.cnki.jieem.2023.02.013", "title": "Multi-depot electric vehicle routing problem with drones under time-dependent networks", "year": 2023, "authors": [ "Houming F." ], "first_author": "Houming F.", "venue": "Journal of Industrial Engineering and Engineering Management", "volume": "37", "pages": "131-142", "type": "Article", "language": null, "abstract": null, "keywords": [], "cited_by_openalex": 0, "cited_by_scopus": "11", "eid": "2-s2.0-85150410341", "pii": null, "open_access_url": null, "sources": [ { "db": "scopus", "stream": "UAV", "query_id": "UAV-2" } ], "streams": [ "UAV" ], "relevance_signals": [ "UAV_NO_CTX" ], "auto_exclude_reason": "EC-4-topic", "screening_status": "auto_excluded", "screened_by": "auto-v1.0.0" }, { "id": "doi:10.3390/drones7010006", "doi": "10.3390/drones7010006", "title": "Optimizing the Hub-and-Spoke Network with Drone-Based Traveling Salesman Problem", "year": 2023, "authors": [ "Gao C.F." ], "first_author": "Gao C.F.", "venue": "Drones", "volume": "7", "pages": null, "type": "Article", "language": null, "abstract": null, "keywords": [], "cited_by_openalex": 0, "cited_by_scopus": "11", "eid": "2-s2.0-85146811514", "pii": null, "open_access_url": null, "sources": [ { "db": "scopus", "stream": "UAV", "query_id": "UAV-2" } ], "streams": [ "UAV" ], "relevance_signals": [ "UAV_NO_CTX" ], "auto_exclude_reason": "EC-4-topic", "screening_status": "auto_excluded", "screened_by": "auto-v1.0.0" }, { "id": "doi:10.3390/inventions8040080", "doi": "10.3390/inventions8040080", "title": "Practical Improvement Scenarios for an Innovative Waste-Collection Recycling Program Operating with Mobile Green Points (MGPs)", "year": 2023, "authors": [ "Konstantinos Tsimnadis", "Grigorios L. Kyriakopoulos", "Stefanos Leontopoulos" ], "first_author": "Konstantinos Tsimnadis", "venue": "Inventions", "volume": "8", "pages": null, "type": "article", "language": "en", "abstract": "Since 2021, the prefectural authorities of the Attica Region in Greece have been operating a rewarding recycling program for the collection of clean recyclable waste in collaboration with the “Specialist Integrated Association of the Prefecture of Attica” (EDSNA, in Greek) and private contractors, called “THE GREEN CITY”. This program mobilizes almost 30 mobile green points (MGPs) daily, which are self-propelled trucks that collect clean recyclable materials from citizens and businesses across the Attica Region. After one year of operation, this program has shown promising results, having more than 100,000 registered citizens and having already collected over 500 tons of clean recyclable municipal solid wastes in more than 60 municipalities of Attica. However, these promising results are accompanied by some significant financial and environmental costs. This study presents two different practical improvement scenarios for THE GREEN CITY recycling program’s current situation that ensure (a) the shortening of the annual kilometers and time on the remote routes of all programs, (b) the annual fuel-cost decrease for the MGPs and (c) the annual reduction of their CO2 emissions into the atmosphere. Afterwards, we compare these two scenarios and conclude that the “first improvement scenario with main depot decentralization” is more realistic, feasible and has a bigger total sum of positive impacts than the second one. Therefore, this study strongly suggests the implementation of the “first improvement scenario with main depot decentralization” and opens the road to future improvement scenarios for various waste-management systems or recycling programs.", "keywords": [ "Truck", "Decentralization", "Business", "Municipal solid waste", "Waste management", "Environmental planning", "Environmental economics", "Transport engineering", "Environmental science", "Engineering" ], "cited_by_openalex": 12, "cited_by_scopus": "10", "eid": "2-s2.0-85169127290", "pii": null, "open_access_url": "https://www.mdpi.com/2411-5134/8/4/80/pdf?version=1687686242", "sources": [ { "db": "openalex", "stream": "TRUCK", "query_id": "TRUCK-3" }, { "db": "scopus", "stream": "TRUCK", "query_id": "TRUCK-3" } ], "streams": [ "TRUCK" ], "relevance_signals": [ "TRUCK_NO_CTX" ], "auto_exclude_reason": "EC-4-topic", "screening_status": "auto_excluded", "screened_by": "auto-v1.0.0" }, { "id": "doi:10.1109/maes.2023.3240112", "doi": "10.1109/maes.2023.3240112", "title": "A Cyber-Physical System's Roadmap to Last-Mile Delivery Drones", "year": 2023, "authors": [ "Bruno S. Faiçal", "Cesar Augusto Cavalheiro Marcondes", "Denis Silva Loubach", "Elton Felipe Sbruzzi", "Filipe Alves Neto Verri", "Johnny Marques", "Lourenço Alves Pereira", "Marcos R. O. A. Máximo", "Vitor Curtis" ], "first_author": "Bruno S. Faiçal", "venue": "IEEE Aerospace and Electronic Systems Magazine", "volume": "38", "pages": "6-16", "type": "article", "language": "en", "abstract": "According to recent studies, unmanned aerial vehicles can play a game-changing part in cost reduction and speed increase to address the last-mile delivery problem and attend to emergencies. Last-mile delivery services are becoming more and more relevant, especially when in times when social distance is required. However, a systemic view of how to provide a feasible solution to enable this application as a vertical market in the urban context is still inexistent. Given this scenario, this article contributes by proposing a cyber-physical system roadmap applicable to last-mile delivery drones. The proposed cyber-physical system (CPS) guidelines are based on a system's ability to enhance an operation toward smart cities’ governance. This article also discusses topics from air–space control and reservation to communication infrastructure and decentralized control supported on a blockchain.", "keywords": [ "Drone", "Last mile (transportation)", "Mile", "Cyber-physical system", "Context (archaeology)", "Reservation", "Computer security", "Computer science", "Resilience (materials science)", "Telecommunications", "Engineering", "Computer network" ], "cited_by_openalex": 14, "cited_by_scopus": "10", "eid": "2-s2.0-85148417828", "pii": null, "open_access_url": "https://doi.org/10.1109/maes.2023.3240112", "sources": [ { "db": "openalex", "stream": "UAV", "query_id": "UAV-1" }, { "db": "scopus", "stream": "UAV", "query_id": "UAV-1" } ], "streams": [ "UAV" ], "relevance_signals": [ "UAV" ], "auto_exclude_reason": null, "screening_status": "pending_human_screening", "screened_by": "auto-v1.0.0" }, { "id": "doi:10.1016/j.engappai.2023.107363", "doi": "10.1016/j.engappai.2023.107363", "title": "A novel mathematical model and a hybrid grouping evolution strategy algorithm for an automated last mile delivery system considering wind effect", "year": 2023, "authors": [ "M.T. Ahmadi", "Seyed Hessameddin Zegordi" ], "first_author": "M.T. Ahmadi", "venue": "Engineering Applications of Artificial Intelligence", "volume": "127", "pages": null, "type": "article", "language": "en", "abstract": null, "keywords": [ "Drone", "Computer science", "Last mile (transportation)", "Heuristic", "Time horizon", "Operations research", "Mathematical optimization", "Routing (electronic design automation)", "Mile", "Artificial intelligence", "Computer network", "Mathematics" ], "cited_by_openalex": 11, "cited_by_scopus": "10", "eid": "2-s2.0-85176254582", "pii": "S0952197623015476", "open_access_url": "https://doi.org/10.1016/j.engappai.2023.107363", "sources": [ { "db": "openalex", "stream": "UAV", "query_id": "UAV-1" }, { "db": "openalex", "stream": "UAV", "query_id": "UAV-3" }, { "db": "scopus", "stream": "UAV", "query_id": "UAV-1" }, { "db": "scopus", "stream": "UAV", "query_id": "UAV-2" }, { "db": "scopus", "stream": "UAV", "query_id": "UAV-3" } ], "streams": [ "UAV" ], "relevance_signals": [ "UAV" ], "auto_exclude_reason": null, "screening_status": "pending_human_screening", "screened_by": "auto-v1.0.0" }, { "id": "doi:10.3390/su152316342", "doi": "10.3390/su152316342", "title": "Truck-Drone Pickup and Delivery Problem with Drone Weight-Related Cost", "year": 2023, "authors": [ "Yang Xia", "Tingying Wu", "Beixin Xia", "Junkang Zhang" ], "first_author": "Yang Xia", "venue": "Sustainability", "volume": "15", "pages": null, "type": "article", "language": "en", "abstract": "Truck-drone delivery is widely used in logistics distribution for achieving sustainable development, in which drone weight greatly affects transportation cost. Thus, we consider a new combined truck-drone pickup and delivery problem with drone weight-related cost in the context of last-mile logistics. A system of integer programming is formulated with the objective of minimizing the total cost of the drone weight-related cost, fixed vehicle cost and travel distance cost. An improved adaptive large neighborhood search algorithm (IALNS) is designed based on the characteristics of the problem, several effective destroy and repair operators are designed to explore the solution space, and a simulated annealing strategy is introduced to avoid falling into the local optimal solution. To evaluate the performance of the IALNS algorithm, 72 instances are randomly generated and tested. The computational results on small instances show that the proposed IALNS algorithm performs better than CPLEX both in efficiency and effectiveness. When comparing the truck-drone pickup and delivery problem with drone weight-related cost to the problem without drone weight-related cost, it is found that ignoring the drone weight constraints leads to an underestimate of the total travel cost by 12.61% based on the test of large instances.", "keywords": [ "Drone", "Truck", "Computer science", "Context (archaeology)", "Pickup", "Simulated annealing", "Mathematical optimization", "Operations research", "Simulation", "Engineering", "Automotive engineering", "Mathematics" ], "cited_by_openalex": 9, "cited_by_scopus": "10", "eid": "2-s2.0-85199231933", "pii": null, "open_access_url": "https://www.mdpi.com/2071-1050/15/23/16342/pdf?version=1701093881", "sources": [ { "db": "openalex", "stream": "UAV", "query_id": "UAV-1" }, { "db": "scopus", "stream": "UAV", "query_id": "UAV-1" } ], "streams": [ "UAV" ], "relevance_signals": [ "UAV", "TRUCK" ], "auto_exclude_reason": null, "screening_status": "pending_human_screening", "screened_by": "auto-v1.0.0" }, { "id": "doi:10.3390/drones7050320", "doi": "10.3390/drones7050320", "title": "An Integer Programming Based Approach to Delivery Drone Routing under Load-Dependent Flight Speed", "year": 2023, "authors": [ "Mao Nishira", "Satoshi Ito", "Hiroki Nishikawa", "Xiangbo Kong", "Hiroyuki Tomiyama" ], "first_author": "Mao Nishira", "venue": "Drones", "volume": "7", "pages": null, "type": "article", "language": "en", "abstract": "Delivery drones have been attracting attention as a means of solving recent logistics issues, and many companies are focusing on their practical applications. Many research studies on delivery drones have been active for several decades. Among them, extended routing problems for drones have been proposed based on the Traveling Salesman Problem (TSP), which is used, for example, in truck vehicle routing problems. In parcel delivery by drones, additional constraints such as battery capacity, payload, and weather conditions need to be considered. This study addresses the routing problem for delivery drones. Most existing studies assume that the drone’s flight speed is constant regardless of the load. On the other hand, some studies assume that the flight speed varies with the load. This routing problem is called the Flight Speed-Aware Traveling Salesman Problem (FSTSP). The complexity of the drone flight speed function in this problem makes it difficult to solve the routing problem using general-purpose mathematical optimization solvers. In this study, the routing problem is reduced to an integer programming problem by using linear and quadratic approximations of the flight speed function. This enables us to solve the problem using general-purpose mathematical optimization solvers. In experiments, we compared the existing and proposed methods in terms of solving time and total flight time. The experimental results show that the proposed method with multiple threads has a shorter solving time than the state-of-the-art method when the number of customers is 17 or more. In terms of total flight time, the proposed methods deteriorate by an average of 0.4% for integer quadratic programming and an average of 1.9% for integer cubic programming compared to state-of-the-art methods. These experimental results show that the quadratic and cubic approximations of the problem have almost no degradation of the solution.", "keywords": [ "Drone", "Travelling salesman problem", "Payload (computing)", "Routing (electronic design automation)", "Computer science", "Mathematical optimization", "Vehicle routing problem", "Integer programming", "Network packet", "Mathematics", "Computer network" ], "cited_by_openalex": 12, "cited_by_scopus": "10", "eid": "2-s2.0-85160298196", "pii": null, "open_access_url": "https://www.mdpi.com/2504-446X/7/5/320/pdf?version=1684238185", "sources": [ { "db": "openalex", "stream": "UAV", "query_id": "UAV-1" }, { "db": "openalex", "stream": "UAV", "query_id": "UAV-2" }, { "db": "scopus", "stream": "UAV", "query_id": "UAV-1" }, { "db": "scopus", "stream": "UAV", "query_id": "UAV-2" } ], "streams": [ "UAV" ], "relevance_signals": [ "UAV", "TRUCK" ], "auto_exclude_reason": null, "screening_status": "pending_human_screening", "screened_by": "auto-v1.0.0" }, { "id": "doi:10.1108/jhlscm-01-2023-0004", "doi": "10.1108/jhlscm-01-2023-0004", "title": "A multiobjective mathematical model for a humanitarian logistics multimodal transportation problem", "year": 2023, "authors": [ "Marisol S. Romero‐Mancilla", "Kenneth Edgar Hernandez-Ruiz", "Diana L. Huerta‐Muñoz" ], "first_author": "Marisol S. Romero‐Mancilla", "venue": "Journal of Humanitarian Logistics and Supply Chain Management", "volume": "14", "pages": "247-261", "type": "article", "language": "en", "abstract": "Purpose The purpose of this paper is to introduce a three-echelon multimodal transportation problem applied to a humanitarian logistic case study that occurred in Mexico. Design/methodology/approach This study develops a methodology combining a transshipment problem and an adaptation of the multidepot heterogeneous fleet vehicle routing problem to construct a mathematical model that incorporates the use of land-based vehicles and drones. The model was applied to the case study of the Earthquake on September 19, 2017, in Mexico, using the Gurobi optimization solver. Findings The results ratified the relevance of the study, showing an inverse relationship between transportation costs and delivery time; on the flip side, the model performed in a shorter CPU time with medium and small instances than with large instances. Research limitations/implications While the size of the instances limits the use of the model for big-scale problems, this approach manages to provide a good representation of a transportation network during a natural disaster using drones in the last-mile deliveries. Originality/value The present study contributes to a model that combines a vehicle routing problem with transshipment, multiple depots and a heterogeneous fleet including land-based vehicles and drones. There are multiple models present in the literature for these types of problems that incorporate the use of these transportation modes; however, to the best of the authors’ knowledge, there are still no proposals similar to this study.", "keywords": [ "Transshipment (information security)", "Computer science", "Solver", "Vehicle routing problem", "Operations research", "Drone", "Construct (python library)", "Routing (electronic design automation)", "Relevance (law)", "Paratransit", "Scale (ratio)", "Mathematical optimization" ], "cited_by_openalex": 11, "cited_by_scopus": "10", "eid": "2-s2.0-85174243067", "pii": null, "open_access_url": "https://www.emerald.com/insight/content/doi/10.1108/JHLSCM-01-2023-0004/full/pdf?title=a-multiobjective-mathematical-model-for-a-humanitarian-logistics-multimodal-transportation-problem", "sources": [ { "db": "openalex", "stream": "UAV", "query_id": "UAV-1" }, { "db": "openalex", "stream": "UAV", "query_id": "UAV-2" }, { "db": "scopus", "stream": "UAV", "query_id": "UAV-1" }, { "db": "scopus", "stream": "UAV", "query_id": "UAV-2" } ], "streams": [ "UAV" ], "relevance_signals": [ "UAV" ], "auto_exclude_reason": null, "screening_status": "pending_human_screening", "screened_by": "auto-v1.0.0" }, { "id": "doi:10.3390/drones7030203", "doi": "10.3390/drones7030203", "title": "Optimal UAV Hangar Locations for Emergency Services Considering Restricted Areas", "year": 2023, "authors": [ "Hannes Braßel", "Thomas Zeh", "Hartmut Fricke", "Anette Eltner" ], "first_author": "Hannes Braßel", "venue": "Drones", "volume": "7", "pages": null, "type": "article", "language": "en", "abstract": "With unmanned aerial vehicle(s) (UAV), swift responses to urgent needs (such as search and rescue missions or medical deliveries) can be realized. Simultaneously, legislators are establishing so-called geographical zones, which restrict UAV operations to mitigate air and ground risks to third parties. These geographical zones serve particular safety interests but they may also hinder the efficient usage of UAVs in time-critical missions with range-limiting battery capacities. In this study, we address a facility location problem for up to two UAV hangars and combine it with a routing problem of a standard UAV mission to consider geographical zones as restricted areas, battery constraints, and the impact of wind to increase the robustness of the solution. To this end, water rescue missions are used exemplary, for which positive and negative location factors for UAV hangars and areas of increased drowning risk as demand points are derived from open-source georeferenced data. Optimum UAV mission trajectories are computed with an A* algorithm, considering five different restriction scenarios. As this pathfinding is very time-consuming, binary occupancy grids and image-processing algorithms accelerate the computation by identifying either entirely inaccessible or restriction-free connections beforehand. For the optimum UAV hangar locations, we maximize accessibility while minimizing the service times to the hotspots, resulting in a decrease from the average service time of 570.4 s for all facility candidates to 351.1 s for one and 287.2 s for two optimum UAV hangar locations.", "keywords": [ "Computer science", "Drone", "Robustness (evolution)", "Limiting", "Occupancy", "Georeference", "Real-time computing", "Service (business)", "Operations research", "Simulation", "Engineering", "Geography" ], "cited_by_openalex": 5, "cited_by_scopus": "10", "eid": "2-s2.0-85152027050", "pii": null, "open_access_url": "https://www.mdpi.com/2504-446X/7/3/203/pdf?version=1678952805", "sources": [ { "db": "openalex", "stream": "UAV", "query_id": "UAV-2" }, { "db": "scopus", "stream": "UAV", "query_id": "UAV-2" } ], "streams": [ "UAV" ], "relevance_signals": [ "UAV_NO_CTX" ], "auto_exclude_reason": "EC-4-topic", "screening_status": "auto_excluded", "screened_by": "auto-v1.0.0" }, { "id": "doi:10.3389/fenrg.2022.1054859", "doi": "10.3389/fenrg.2022.1054859", "title": "Large-scale power inspection: A deep reinforcement learning approach", "year": 2023, "authors": [ "Qingshu Guan", "Xiangquan Zhang", "Minghui Xie", "Jianglong Nie", "Hui Cao", "Chen Yang Zhao", "Zhouqiang He" ], "first_author": "Qingshu Guan", "venue": "Frontiers in Energy Research", "volume": "10", "pages": null, "type": "article", "language": "en", "abstract": "Power inspection plays an important role in ensuring the normal operation of the power grid. However, inspection of transmission lines in an unoccupied area is time-consuming and labor-intensive. Recently, unmanned aerial vehicle (UAV) inspection has attracted remarkable attention in the space-ground collaborative smart grid, where UAVs are able to provide full converge of patrol points on transmission lines without the limitation of communication and manpower. Nevertheless, how to schedule UAVs to traverse numerous, dispersed target nodes in a vast area with the least cost (e.g., time consumption and total distance) has rarely been studied. In this paper, we focus on this challenging and practical issue which can be considered as a family of vehicle routing problems (VRPs) with regard to different constraints, and propose a Diverse Trajectory-driven Deep Reinforcement Learning (DT-DRL) approach with encoder-decoder scheme to tackle it. First, we bring in a threshold unit in our encoder for better state representation. Secondly, we realize that the already visited nodes have no impact on future decisions, and then devise a dynamic-aware context embedding which removes irrelevant nodes to trace the current graph. Finally, we introduce multiply decoders with identical structure but unshared parameters, and design a Kullback-Leibler divergence based regular term to enforce decoders to output diverse trajectories, which expands the search space and enhances the routing performance. Comprehensive experiments on five types of routing problems show that our approach consistently outperforms both DRL and heuristic methods by a clear margin.", "keywords": [ "Computer science", "Reinforcement learning", "Context (archaeology)", "Margin (machine learning)", "Schedule", "Grid", "Real-time computing", "Embedding", "Encoder", "Artificial intelligence", "Machine learning", "Mathematics" ], "cited_by_openalex": 11, "cited_by_scopus": "10", "eid": "2-s2.0-85147178807", "pii": null, "open_access_url": "https://doi.org/10.3389/fenrg.2022.1054859", "sources": [ { "db": "openalex", "stream": "UAV", "query_id": "UAV-2" }, { "db": "scopus", "stream": "UAV", "query_id": "UAV-2" } ], "streams": [ "UAV" ], "relevance_signals": [ "UAV_NO_CTX" ], "auto_exclude_reason": "EC-4-topic", "screening_status": "auto_excluded", "screened_by": "auto-v1.0.0" }, { "id": "doi:10.2514/6.2023-4499", "doi": "10.2514/6.2023-4499", "title": "Autonomous Landing of eVTOL Vehicles via Deep Q-Networks", "year": 2023, "authors": [ "Sabrullah Deniz", "Yufei Wu", "Yang Shi", "Zhenbo Wang" ], "first_author": "Sabrullah Deniz", "venue": "AIAA Aviation and Aeronautics Forum and Exposition AIAA Aviation Forum 2023", "volume": null, "pages": null, "type": "conference-paper", "language": "en", "abstract": "View Video Presentation: https://doi.org/10.2514/6.2023-4499.vid Urban Air Mobility (UAM) promises a new mode of transportation system providing disruptive innovative operation safely and efficiently in a highly constrained urban environment. The UAM is attracting interest from a wide range of stakeholders, institutions, and businesses due to the technological advances in electric and distributed propulsion, which makes it easier to construct unique aircraft types with the capability for electric Vertical Take-off and Landing (eVTOL). The autonomous landing of an eVTOL vehicle to a ground vertiport needs highly automated systems, while in a piloted helicopter the landing is directed by the Air Traffic Control unit and pilot. In this paper, we propose a deep reinforcement learning-based method to locate the landing marker and land the eVTOL vehicle on it using only low-resolution images captured by a camera pointed downward. The proposed approach is based on Deep Q-Networks (DQNs) using a high-level control policy to navigate the eVTOL vehicle toward the landing marker. We have implemented different approaches, including DQNs and double DQNs algorithms. We trained and tested the vehicle in the Robotic Operating System (ROS) Gazebo simulation environment within a small-scale environmental setting. The performance of our model has a promising result to land the vehicle autonomously by following the generated policy throughout the network. The precise and safe landing of eVTOL vehicles is one of the key steps towards addressing conflict and delays during peak hours at the vertiport for future UAM applications.", "keywords": [ "Computer science", "Reinforcement learning", "Key (lock)", "Propulsion", "Range (aeronautics)", "Construct (python library)", "Real-time computing", "Automotive engineering", "Simulation", "Artificial intelligence", "Aerospace engineering", "Engineering" ], "cited_by_openalex": 7, "cited_by_scopus": "10", "eid": "2-s2.0-85180806673", "pii": null, "open_access_url": "https://doi.org/10.2514/6.2023-4499", "sources": [ { "db": "openalex", "stream": "UAV", "query_id": "UAV-3" }, { "db": "scopus", "stream": "UAV", "query_id": "UAV-3" } ], "streams": [ "UAV" ], "relevance_signals": [ "UAV_NO_CTX" ], "auto_exclude_reason": "EC-4-topic", "screening_status": "auto_excluded", "screened_by": "auto-v1.0.0" }, { "id": "doi:10.2514/6.2023-2195", "doi": "10.2514/6.2023-2195", "title": "Simulated Vision-based Approach and Landing System for Advanced Air Mobility", "year": 2023, "authors": [ "Evan Kawamura", "Chester V. Dolph", "Keerthana Kannan", "Thomas Lombaerts", "Corey A. Ippolito" ], "first_author": "Evan Kawamura", "venue": "AIAA SCITECH 2023 Forum", "volume": null, "pages": null, "type": "conference-paper", "language": "en", "abstract": "View Video Presentation: https://doi.org/10.2514/6.2023-2195.vid Advanced Air Mobility (AAM) aircraft require precision approach and landing systems (PALS) in several environments, such as urban, suburban, and rural. It is challenging to implement current state-of-the-art methods approved for automated approach and landing for AAM operations with challenges such as GPS degradation in urban environments and visual navigation aids like the glideslope and localizer being narrow and not allowing alternative incoming landing angles at vertiports. However, existing technology and systems, i.e., the instrument landing system (ILS) with glideslope and localizer indicators that use vision, IR, radar, or GPS methods, provide baseline perception and sensing requirements for AAM aircraft approach and landing. This paper focuses on vision-based PAL and computer vision feature correspondence methods to demonstrate a baseline navigation system while adhering to the Federal Aviation Administration requirements and regulations about heliport design (FAA AC 150/5390-2C), which is one of the closest references for vertiport requirements and regulations. The coplanar pose from orthography and scaling with iterations (COPOSIT) algorithm determines pose estimation, which feeds into an Extended Kalman filter that combines IMU with vision to create a vision-based approach and landing (VAL) sensor fusion navigation solution for GPS-denied environments. The VAL navigation solution provides promising simulation results for AAM PALS with Hough circle detection and feature correspondence, which demonstrate robustness to false positives. This paper incorporates moderately high-fidelity simulations with computer graphics rendering to show a distributed sensor network to track an AAM aircraft during approach and landing to compare with the aircraft's onboard vision-based navigation solution.", "keywords": [ "Computer science", "Computer vision", "Global Positioning System", "Artificial intelligence", "Rendering (computer graphics)", "Robustness (evolution)" ], "cited_by_openalex": 8, "cited_by_scopus": "10", "eid": "2-s2.0-85200155541", "pii": null, "open_access_url": "https://doi.org/10.2514/6.2023-2195", "sources": [ { "db": "openalex", "stream": "UAV", "query_id": "UAV-3" }, { "db": "scopus", "stream": "UAV", "query_id": "UAV-3" } ], "streams": [ "UAV" ], "relevance_signals": [ "UAV_NO_CTX" ], "auto_exclude_reason": "EC-4-topic", "screening_status": "auto_excluded", "screened_by": "auto-v1.0.0" }, { "id": "doi:10.1016/j.matpr.2023.07.370", "doi": "10.1016/j.matpr.2023.07.370", "title": "Design optimization of drone BLDC motor for delivery service applications", "year": 2023, "authors": [ "Deepak BBVL", "Davinder Pal Singh", "Sampath Kumar Kuppa", "M Jayanthi Rao" ], "first_author": "Deepak BBVL", "venue": "Materials Today Proceedings", "volume": null, "pages": null, "type": "article", "language": "en", "abstract": null, "keywords": [ "Drone", "Computer science", "Automotive engineering", "Engineering" ], "cited_by_openalex": 10, "cited_by_scopus": 0, "eid": null, "pii": null, "open_access_url": "https://doi.org/10.1016/j.matpr.2023.07.370", "sources": [ { "db": "openalex", "stream": "UAV", "query_id": "UAV-3" } ], "streams": [ "UAV" ], "relevance_signals": [ "UAV_NO_CTX" ], "auto_exclude_reason": "EC-4-topic", "screening_status": "auto_excluded", "screened_by": "auto-v1.0.0" }, { "id": "doi:10.3390/futuretransp3030057", "doi": "10.3390/futuretransp3030057", "title": "Integrating Electric Vertical Takeoff and Landing Aircraft into Public Airspace: A Scenario Study", "year": 2023, "authors": [ "Raj Bridgelall", "Shawn White", "Denver Tolliver" ], "first_author": "Raj Bridgelall", "venue": "Future Transportation", "volume": "3", "pages": "1029-1045", "type": "article", "language": "en", "abstract": "The successful deployment of Advanced Air Mobility (AAM) requires the safe integration of electric vertical takeoff and landing (eVTOL) aircraft in non-segregated airspace. However, a lack of practical deployment demonstrations can slow the regulatory progress. This study presents a practical deployment framework for the integration of eVTOL aircraft into public airspace, in accordance with the Federal Aviation Administration (FAA) special airworthiness criteria. This study focused on a corporate use case to provide a comprehensive scenario for enhancing intra-company mobility. The scenario supports early implementation and demonstration goals by removing reliance on air traffic management systems or air traffic controller separation services. The practical deployment framework included facility selection, route planning, terrain mapping, collision avoidance, aircraft selection, infrastructure requirements, vertiport placement, electric chargers, ground handling, operational staff, and cost estimates. Planners can use the framework as a template to inform the implementation of real-world AAM services using eVTOL aircraft.", "keywords": [ "Software deployment", "Takeoff", "Air traffic control", "Takeoff and landing", "Aviation", "Aeronautics", "Transport engineering", "Separation (statistics)", "Runway", "Airworthiness", "Aviation safety", "Engineering" ], "cited_by_openalex": 8, "cited_by_scopus": "10", "eid": "2-s2.0-85176216635", "pii": null, "open_access_url": "https://www.mdpi.com/2673-7590/3/3/57/pdf?version=1692947659", "sources": [ { "db": "openalex", "stream": "UAV", "query_id": "UAV-3" }, { "db": "scopus", "stream": "UAV", "query_id": "UAV-3" } ], "streams": [ "UAV" ], "relevance_signals": [ "UAV_NO_CTX" ], "auto_exclude_reason": "EC-4-topic", "screening_status": "auto_excluded", "screened_by": "auto-v1.0.0" }, { "id": "doi:10.1007/s10668-023-04123-x", "doi": "10.1007/s10668-023-04123-x", "title": "Feeder vehicle routing problem in a collaborative environment using hybrid particle swarm optimization and adaptive learning strategy", "year": 2023, "authors": [ "M. Salehi Sarbijan", "Javad Behnamian" ], "first_author": "M. Salehi Sarbijan", "venue": "Environment Development and Sustainability", "volume": "27", "pages": "6165-6205", "type": "article", "language": "en", "abstract": null, "keywords": [ "Particle swarm optimization", "Vehicle routing problem", "Computer science", "Swarm behaviour", "Routing (electronic design automation)", "Multi-swarm optimization", "Mathematical optimization", "Artificial intelligence", "Computer network", "Machine learning", "Mathematics" ], "cited_by_openalex": 8, "cited_by_scopus": "9", "eid": "2-s2.0-86000431237", "pii": null, "open_access_url": "https://doi.org/10.1007/s10668-023-04123-x", "sources": [ { "db": "openalex", "stream": "TRUCK", "query_id": "TRUCK-1" }, { "db": "openalex", "stream": "TRUCK", "query_id": "TRUCK-2" }, { "db": "openalex", "stream": "TRUCK", "query_id": "TRUCK-3" }, { "db": "scopus", "stream": "TRUCK", "query_id": "TRUCK-1" }, { "db": "scopus", "stream": "TRUCK", "query_id": "TRUCK-2" }, { "db": "scopus", "stream": "TRUCK", "query_id": "TRUCK-3" } ], "streams": [ "TRUCK" ], "relevance_signals": [ "NO_TECHNOLOGY_MATCH" ], "auto_exclude_reason": "EC-4-topic", "screening_status": "auto_excluded", "screened_by": "auto-v1.0.0" }, { "id": "doi:10.1016/j.tre.2023.103219", "doi": "10.1016/j.tre.2023.103219", "title": "Note: Demonstrating analytics in a low-tech context–truck-routing for solid-waste collection in an Indian metropolis", "year": 2023, "authors": [ "Kaveri Kala", "ManMohan S. Sodhi" ], "first_author": "Kaveri Kala", "venue": "Transportation Research Part E Logistics and Transportation Review", "volume": "176", "pages": null, "type": "article", "language": "en", "abstract": null, "keywords": [ "Truck", "Context (archaeology)", "Vehicle routing problem", "Waste collection", "Computer science", "Cluster analysis", "Analytics", "Integer programming", "Routing (electronic design automation)", "Operations research", "Data mining", "Algorithm" ], "cited_by_openalex": 8, "cited_by_scopus": "9", "eid": "2-s2.0-85165021257", "pii": "S1366554523002077", "open_access_url": "https://openaccess.city.ac.uk/id/eprint/30965/1/Accepted%20Version%2010_July_2023_Accepted.pdf", "sources": [ { "db": "openalex", "stream": "TRUCK", "query_id": "TRUCK-3" }, { "db": "scopus", "stream": "TRUCK", "query_id": "TRUCK-3" } ], "streams": [ "TRUCK" ], "relevance_signals": [ "TRUCK_NO_CTX" ], "auto_exclude_reason": "EC-4-topic", "screening_status": "auto_excluded", "screened_by": "auto-v1.0.0" }, { "id": "doi:10.1016/j.seps.2023.101667", "doi": "10.1016/j.seps.2023.101667", "title": "A location-routing model for free-floating shared bike collection considering manual gathering and truck transportation", "year": 2023, "authors": [ "Xiaozhou He", "Qingyi Wang" ], "first_author": "Xiaozhou He", "venue": "Socio-Economic Planning Sciences", "volume": "88", "pages": null, "type": "article", "language": "en", "abstract": null, "keywords": [ "Truck", "Transport engineering", "Beijing", "Data collection", "Computer science", "Routing (electronic design automation)", "Heuristic", "Process (computing)", "Operations research", "Vehicle routing problem", "Simulation", "Engineering" ], "cited_by_openalex": 7, "cited_by_scopus": "9", "eid": "2-s2.0-85163860133", "pii": "S0038012123001799", "open_access_url": "https://doi.org/10.1016/j.seps.2023.101667", "sources": [ { "db": "openalex", "stream": "TRUCK", "query_id": "TRUCK-3" }, { "db": "scopus", "stream": "TRUCK", "query_id": "TRUCK-3" } ], "streams": [ "TRUCK" ], "relevance_signals": [ "TRUCK_NO_CTX" ], "auto_exclude_reason": "EC-4-topic", "screening_status": "auto_excluded", "screened_by": "auto-v1.0.0" }, { "id": "doi:10.3390/vehicles5030058", "doi": "10.3390/vehicles5030058", "title": "Planning Integrated Unmanned Aerial Vehicle and Conventional Vehicle Delivery Operations under Restricted Airspace: A Mixed Nested Genetic Algorithm and Geographic Information System-Assisted Optimization Approach", "year": 2023, "authors": [ "Κωνσταντίνος Κουρέτας", "Konstantinos L. Kepaptsoglou" ], "first_author": "Κωνσταντίνος Κουρέτας", "venue": "Vehicles", "volume": "5", "pages": "1060-1086", "type": "article", "language": "en", "abstract": "Using Unmanned Aerial Vehicles (UAVs), commonly referred to as “drones”, as a supplementary mode for last-mile deliveries has been a research focus for some years now. Motivation lies in the reduced dependency on Conventional Vehicles (CVs) and fossil fuels and in serving remote areas and underprivileged populations. We are building a flexible, modular framework for integrated CV-UAV parcel delivery operations planning that is responsive to infrastructure and demand and offers an open and practical tool for future adaptations. The entire model and solution methodology are practical tools for decision making and strategic planning, with novelties such as the variable Launch Site types for Launch and Recovery Operations (LAROs), the tailored Assignment and Routing Optimization nested GA, the consideration of airspace restrictions of any shape and size, the inclusion of GIS tools in the process, the modularity of the platform, and most importantly, the inclusion of all the above in a single, comprehensive, and holistic approach. Because of the need for safe UAV deployment sites and the high presence of restricted airspace zones in urban environments, the intended field of application is assumed to be the delivery of small packages in rural and under-connected areas, the execution of inter-city deliveries, and the expansion of a city’s original service range. A single CV is equipped onboard with UAVs, while special locations, such as Remote Depots (RDs) with UAVs and Virtual Hubs (VHs) for UAV deployment facilitation, are introduced. The framework considers the presence of Restricted Zones (RZs) for UAV flights. Part of the methodology is implemented in a GIS environment, taking advantage of modern tools for spatial analysis and optimal path planning. We have designed a tailored nested GA method for solving the occurring mode assignment and vehicle routing optimization problems and have implemented our workflow on a devised case study with benchmark characteristics. Our model responds well to unfavorable network types and demand locations, while the presence of RZs notably affects the expected solution and should be considered in the decision-making process.", "keywords": [ "Software deployment", "Computer science", "Modular design", "Process (computing)", "Vehicle routing problem", "Drone", "Systems engineering", "Operations research", "Engineering", "Routing (electronic design automation)", "Computer network", "Software engineering" ], "cited_by_openalex": 8, "cited_by_scopus": "9", "eid": "2-s2.0-85172117077", "pii": null, "open_access_url": "https://www.mdpi.com/2624-8921/5/3/58/pdf?version=1693880370", "sources": [ { "db": "openalex", "stream": "UAV", "query_id": "UAV-1" }, { "db": "openalex", "stream": "UAV", "query_id": "UAV-2" }, { "db": "scopus", "stream": "UAV", "query_id": "UAV-1" }, { "db": "scopus", "stream": "UAV", "query_id": "UAV-2" } ], "streams": [ "UAV" ], "relevance_signals": [ "UAV" ], "auto_exclude_reason": null, "screening_status": "pending_human_screening", "screened_by": "auto-v1.0.0" }, { "id": "doi:10.1145/3565287.3617633", "doi": "10.1145/3565287.3617633", "title": "No-Fly-Zone: Regulating Drone Fly-Overs Via Government and User-Controlled Authorization Zones", "year": 2023, "authors": [ "Abdullah Kamal", "Jeremy Vidaurri", "Carlos E. Rubio-Medrano" ], "first_author": "Abdullah Kamal", "venue": "Proceedings of the International Symposium on Mobile Ad Hoc Networking and Computing Mobihoc", "volume": null, "pages": "522-527", "type": "conference-paper", "language": "en", "abstract": "Unmanned Aerial Systems (UAVs), a.k.a., drones, are becoming increasingly popular, as several companies are incorporating them into highly-convenient, last-mile delivery systems. Given this market, concerns with non-consensual surveillance and destruction of drones and private property have been raised. To address these concerns, this paper presents No-Fly-Zone, a solution that proposes developing a series of physical spaces, a.k.a., zones, that utilize Attribute-Based Access Control (ABAC) to allow users, e.g., homeowners, to define flight authorization for drones. With zones that highlight no-fly air-spaces, companies will be able to launch their drones with a lowered chance of human interference or liability, allowing for property owners to determine which level of privacy they wish to enforce. Moreover, using a map that incorporates zoning preferences, a drone path planning algorithm can safely designate a path for any commercial drone flight. No-Fly-Zone also provides a a user-friendly application for collecting and deploying zoning data to pathing algorithms with limited setbacks, thus encouraging the future integration of No-Fly-Zone with existing and future drone flight management systems.", "keywords": [ "Drone", "Zoning", "Computer security", "Authorization", "Government (linguistics)", "Computer science", "SAFER", "Business", "Engineering", "Civil engineering" ], "cited_by_openalex": 5, "cited_by_scopus": "9", "eid": "2-s2.0-85176098913", "pii": null, "open_access_url": "https://dl.acm.org/doi/pdf/10.1145/3565287.3617633", "sources": [ { "db": "openalex", "stream": "UAV", "query_id": "UAV-1" }, { "db": "scopus", "stream": "UAV", "query_id": "UAV-1" } ], "streams": [ "UAV" ], "relevance_signals": [ "UAV" ], "auto_exclude_reason": null, "screening_status": "pending_human_screening", "screened_by": "auto-v1.0.0" }, { "id": "doi:10.2514/6.2023-3412", "doi": "10.2514/6.2023-3412", "title": "VAMOS! A Regional Modeling and Simulation System for Vertiport Location Assessment", "year": 2023, "authors": [ "Kapil S. Sheth" ], "first_author": "Kapil S. Sheth", "venue": "AIAA Aviation and Aeronautics Forum and Exposition AIAA Aviation Forum 2023", "volume": null, "pages": null, "type": "conference-paper", "language": "en", "abstract": "View Video Presentation: https://doi.org/10.2514/6.2023-3412.vid This paper presents an approach to assess the suitability of vertiport locations and evaluate the feasibility of flights between them for the Advanced Air Mobility (AAM) concept. The motivation for the work comes from the infrastructure challenges to implement the AAM concept. The question of where should the vertiports be placed led to the development of the technology described in this paper. A modeling tool gathers various attributes desired by the local community (city or county planning departments) and aggregates them to create suitable vertiport locations. Site suitability is modeled with a composite suitability metric that is a weighted function of several characteristics of a location, some favorable and some not, all of which are a function of desired proximity to the site being considered. Then, a simulation system conducts a fast-time simulation of origin-to-destination operations in the urban region. The flight of various vehicles, with winds and obstacles, is simulated between the selected vertiport locations to assess feasibility of flight. The noise footprints and the battery depletion are also computed. A prototype system encompassing both, the vertiport location suitability assessment tool and the flight feasibility simulation system, was developed and evaluated with subject-matter experts in regional planning from four metropolitan areas. The outcome of those evaluations suggests the use case is sound and the prototype brings needed consistency to the decision-making process.", "keywords": [ "Computer science", "Metropolitan area", "Consistency (knowledge bases)", "Metric (unit)", "Process (computing)", "Function (biology)", "Work (physics)", "Simulation", "Systems engineering", "Transport engineering", "Artificial intelligence", "Engineering" ], "cited_by_openalex": 6, "cited_by_scopus": "9", "eid": "2-s2.0-85199494980", "pii": null, "open_access_url": "https://doi.org/10.2514/6.2023-3412", "sources": [ { "db": "openalex", "stream": "UAV", "query_id": "UAV-3" }, { "db": "scopus", "stream": "UAV", "query_id": "UAV-3" } ], "streams": [ "UAV" ], "relevance_signals": [ "UAV_NO_CTX" ], "auto_exclude_reason": "EC-4-topic", "screening_status": "auto_excluded", "screened_by": "auto-v1.0.0" }, { "id": "doi:10.1109/dasc58513.2023.10311132", "doi": "10.1109/dasc58513.2023.10311132", "title": "Vertiport Locations Optimization in Discrete Search Space", "year": 2023, "authors": [ "Munhyun Chae", "Sang Hyun Kim", "Sangho Kim", "Migyoung Kim", "Heetae Park" ], "first_author": "Munhyun Chae", "venue": "AIAA IEEE Digital Avionics Systems Conference Proceedings", "volume": null, "pages": null, "type": "conference-paper", "language": "en", "abstract": "This paper aims to find optimal vertiport locations for an urban air mobility service in a metropolitan area. This location optimization problem has no specific candidates, so its search space is finely discretized. The optimal locations are defined as the set of locations that maximize the total revenue. To estimate the revenue, actual traffic data and a mode choice model are used to forecast the demand. Since the search space of the location optimization problem is huge, a local search-based algorithm is proposed to find a near-optimal solution in a short computation time. The proposed algorithm is applied to the Seoul metropolitan area, Republic of Korea, and the optimal vertiport network is found. This paper also analyzes the impact of operational parameters, such as the number, distance, and catchment area of vertiports and the fare and speed of aircraft, at the optimal locations. The results of this study can provide insights to stakeholders.", "keywords": [ "Metropolitan area", "Computer science", "Mathematical optimization", "Computation", "Revenue", "Set (abstract data type)", "Discretization", "Space (punctuation)", "Service (business)", "Mode (computer interface)", "Geography", "Algorithm" ], "cited_by_openalex": 5, "cited_by_scopus": "9", "eid": "2-s2.0-85178660637", "pii": null, "open_access_url": "https://doi.org/10.1109/dasc58513.2023.10311132", "sources": [ { "db": "openalex", "stream": "UAV", "query_id": "UAV-3" }, { "db": "scopus", "stream": "UAV", "query_id": "UAV-3" } ], "streams": [ "UAV" ], "relevance_signals": [ "UAV_NO_CTX" ], "auto_exclude_reason": "EC-4-topic", "screening_status": "auto_excluded", "screened_by": "auto-v1.0.0" }, { "id": "doi:10.1109/icuas57906.2023.10155914", "doi": "10.1109/icuas57906.2023.10155914", "title": "Vision-aided approach and landing through AI-based vertiport recognition *", "year": 2023, "authors": [ "Paolo Veneruso", "Enrico Miccio", "Roberto Opromolla", "Giancarmine Fasano", "Giacomo Gentile", "Carlo Tiana" ], "first_author": "Paolo Veneruso", "venue": "2023 International Conference on Unmanned Aircraft Systems Icuas 2023", "volume": null, "pages": "1270-1277", "type": "conference-paper", "language": "en", "abstract": "This paper presents a vision-aided navigation pipeline to support the approach and landing phase of autonomous Vertical Take-Off and Landing aircraft in Urban Air Mobility scenarios. The proposed filtering scheme is fed by measurements provided by an Inertial Measurement Unit and a GNSS receiver, as well as by pose estimates computed from images collected by onboard cameras. Specifically, the camera frames are processed by a Convolutional Neural Network (CNN) trained to detect the vertiport landing marking in urban scenarios. Subsequently, the relevant 2D features of the pattern inside the resulting bounding box are extracted, recognized and used to solve the Perspective-n-Point problem. The performance of the implemented navigation filter is first analyzed using synthetic data collected simulating realistic landing trajectories. Then, two different training strategies are compared to verify the contribution of real data to the detection performance and to check the capability of the CNN to correctly identify the pattern in the tested scenarios. In addition, the entire pipeline for landing pad detection and pose estimation is tested on real images under various pose, illumination and background conditions.", "keywords": [ "Artificial intelligence", "Computer vision", "Computer science", "Convolutional neural network", "Pipeline (software)", "Pose", "Inertial measurement unit", "Object detection", "GNSS applications", "Minimum bounding box", "Inertial navigation system", "Bounding overwatch" ], "cited_by_openalex": 7, "cited_by_scopus": "9", "eid": "2-s2.0-85165623704", "pii": null, "open_access_url": "https://doi.org/10.1109/icuas57906.2023.10155914", "sources": [ { "db": "openalex", "stream": "UAV", "query_id": "UAV-3" }, { "db": "scopus", "stream": "UAV", "query_id": "UAV-3" } ], "streams": [ "UAV" ], "relevance_signals": [ "UAV_NO_CTX" ], "auto_exclude_reason": "EC-4-topic", "screening_status": "auto_excluded", "screened_by": "auto-v1.0.0" }, { "id": "doi:10.2514/6.2023-1848", "doi": "10.2514/6.2023-1848", "title": "Graph Learning based Decision Support for Multi-Aircraft Take-Off and Landing at Urban Air Mobility Vertiports", "year": 2023, "authors": [ "Prajit K. Kumar", "Jhoel Witter", "Steve Paul", "Karthik Dantu", "Souma Chowdhury" ], "first_author": "Prajit K. Kumar", "venue": "AIAA SCITECH 2023 Forum", "volume": null, "pages": null, "type": "conference-paper", "language": "en", "abstract": "View Video Presentation: https://doi.org/10.2514/6.2023-1848.vid As city populations continue to rise, urban air mobility (UAM) seeks to provide much needed relief from traffic congestion. UAM is enforced by electrical vertical takeoff and landing (eVTOL) vehicles, which operate out of a vertiport, akin to the relationship between planes and airports. The vertiport has an air traffic controller (ATC) tasked with managing each eVTOL, ensuring they reach their destinations on time and safely. This task allocation problem can be difficult due to inadvertent issues such as mechanical failure, inclement weather, collisions, among other uncertainties that may arise. This paper provides a novel solution to this Urban Air Mobility - Vertiport Schedule Management (UAM-VSM) problem through the utilization of graph convolutional networks (GCNs). GCNs allow us to add abstractions of the vertiport space and eVTOL space as graphs, and aggregate information for a centralized ATC agent to help generalize the environment. We use Unreal Engine combined with Airsim for high fidelity simulation. The proposed GRL agent will be trained in an environment without extra uncertainties and then tested with and without those uncertainties. The performance will be examined side by side with a random and first come first serve (FCFS) baseline.", "keywords": [ "Takeoff", "Computer science", "Takeoff and landing", "Air traffic control", "Schedule", "Graph", "Baseline (sea)", "Task (project management)", "Simulation", "Real-time computing", "Engineering", "Aerospace engineering" ], "cited_by_openalex": 9, "cited_by_scopus": "9", "eid": "2-s2.0-85170212336", "pii": null, "open_access_url": "https://doi.org/10.2514/6.2023-1848", "sources": [ { "db": "openalex", "stream": "UAV", "query_id": "UAV-3" }, { "db": "scopus", "stream": "UAV", "query_id": "UAV-3" } ], "streams": [ "UAV" ], "relevance_signals": [ "UAV_NO_CTX" ], "auto_exclude_reason": "EC-4-topic", "screening_status": "auto_excluded", "screened_by": "auto-v1.0.0" }, { "id": "doi:10.1109/iros55552.2023.10341398", "doi": "10.1109/iros55552.2023.10341398", "title": "Fast Decision Support for Air Traffic Management at Urban Air Mobility Vertiports Using Graph Learning", "year": 2023, "authors": [ "Prajit KrisshnaKumar", "Jhoel Witter", "Steve M. Paul", "Hanvit Cho", "Karthik Dantu", "Souma Chowdhury" ], "first_author": "Prajit KrisshnaKumar", "venue": "IEEE International Conference on Intelligent Robots and Systems", "volume": null, "pages": "1580-1585", "type": "conference-paper", "language": "en", "abstract": "Urban Air Mobility (UAM) promises a new dimension to decongested, safe, and fast travel in urban and suburban hubs. These UAM aircraft are conceived to operate from small airports called vertiports each comprising multiple take-offllanding and battery-recharging spots. Since they might be situated in dense urban areas and need to handle many aircraft landings and take-offs each hour, managing this schedule in real-time becomes challenging for a traditional air-traffic controller but instead calls for an automated solution. This paper provides a novel approach to this problem of Urban Air Mobility - Vertiport Schedule Management (UAM-VSM), which leverages graph reinforcement learning to generate decision-support policies. Here the designated physical spots within the vertiport's airspace and the vehicles being managed are represented as two separate graphs, with feature extraction performed through a graph convolutional network (GCN). Extracted features are passed onto perceptron layers to decide actions such as continue to hover or cruise, continue idling or take-off, or land on an allocated vertiport spot. Performance is measured based on delays, safety (no. of collisions) and battery consumption. Through realistic simulations in AirSim applied to scaled down multi-rotor vehicles, our results demonstrate the suitability of using graph reinforcement learning to solve the UAM-VSM problem and its superiority to basic reinforcement learning (with graph embed dings) or random choice baselines.", "keywords": [ "Reinforcement learning", "Computer science", "Graph", "Schedule", "Artificial intelligence", "Real-time computing", "Theoretical computer science" ], "cited_by_openalex": 6, "cited_by_scopus": "9", "eid": "2-s2.0-85182522843", "pii": null, "open_access_url": "https://doi.org/10.1109/iros55552.2023.10341398", "sources": [ { "db": "openalex", "stream": "UAV", "query_id": "UAV-3" }, { "db": "scopus", "stream": "UAV", "query_id": "UAV-3" } ], "streams": [ "UAV" ], "relevance_signals": [ "UAV_NO_CTX" ], "auto_exclude_reason": "EC-4-topic", "screening_status": "auto_excluded", "screened_by": "auto-v1.0.0" }, { "id": "doi:10.1109/globecom54140.2023.10437867", "doi": "10.1109/globecom54140.2023.10437867", "title": "An IoT-Assisted Efficient Framework for Multi-Drone Conveyance System", "year": 2023, "authors": [ "Jagnyashini Debadarshini", "Sudipta Saha" ], "first_author": "Jagnyashini Debadarshini", "venue": "Proceedings IEEE Global Communications Conference Globecom", "volume": null, "pages": "6426-6431", "type": "conference-paper", "language": "en", "abstract": "In the near future, a multi-drone conveyance system will be an invaluable asset for meeting a variety of local and lightweight transportation needs. Recent research has focused extensively on the design and development of efficient multi-drone conveyance systems. However, the majority of these works rely on centralized cloud-based support, which is significantly susceptible to various single-point-of-failure-related issues. In this paper, a distributed IoT-assisted framework for multi-drone transportation is proposed. However, a successful distributed implementation of the system requires extensive coordination between its various components. Particularly, the drones need to tightly collaborate with the stations where they can temporarily halt for charging, referred to as Charging and Resting Stations (CRS). In this paper, we propose utilizing recent advancements in Synchronous-Transmission (ST)-based communication strategies to realize a fast and energy-efficient communication backbone for multi-drone transportation systems. Through the implementation of a simple dynamic path planning strategy, we demonstrate that the proposed framework outperforms the implementation of the multi-drone system using conventional communication strategies in terms of delivery time and reliability. In addition, we demonstrate that the strategy not only handles random conveyance assignments efficiently but also fairly distributes the load across the CRSs.", "keywords": [ "Drone", "Computer science", "Internet of Things", "Computer security" ], "cited_by_openalex": 9, "cited_by_scopus": "9", "eid": "2-s2.0-85186652543", "pii": null, "open_access_url": "https://doi.org/10.1109/globecom54140.2023.10437867", "sources": [ { "db": "openalex", "stream": "UAV", "query_id": "UAV-3" }, { "db": "scopus", "stream": "UAV", "query_id": "UAV-3" } ], "streams": [ "UAV" ], "relevance_signals": [ "UAV_NO_CTX" ], "auto_exclude_reason": "EC-4-topic", "screening_status": "auto_excluded", "screened_by": "auto-v1.0.0" }, { "id": "doi:10.1007/978-3-031-35678-0_20", "doi": "10.1007/978-3-031-35678-0_20", "title": "User Acceptance of Urban Air Mobility (UAM) for Passenger Transport: A Choice-Based Conjoint Study", "year": 2023, "authors": [ "Vivian Lotz", "Ansgar Kirste", "Chantal Lidynia", "Eike Stumpf", "Martina Ziefle" ], "first_author": "Vivian Lotz", "venue": "Lecture notes in computer science", "volume": "14048 LNCS", "pages": "296-315", "type": "conference-paper", "language": "en", "abstract": null, "keywords": [ "Conjoint analysis", "Computer science", "Automation", "Perception", "User group", "Traffic congestion", "Transport engineering", "World Wide Web", "Engineering", "Preference", "Psychology" ], "cited_by_openalex": 6, "cited_by_scopus": "9", "eid": "2-s2.0-85169057086", "pii": null, "open_access_url": "https://doi.org/10.1007/978-3-031-35678-0_20", "sources": [ { "db": "openalex", "stream": "UAV", "query_id": "UAV-3" }, { "db": "scopus", "stream": "UAV", "query_id": "UAV-3" } ], "streams": [ "UAV" ], "relevance_signals": [ "NO_TECHNOLOGY_MATCH" ], "auto_exclude_reason": "EC-4-topic", "screening_status": "auto_excluded", "screened_by": "auto-v1.0.0" }, { "id": "doi:10.21810/jicw.v6i1.5274", "doi": "10.21810/jicw.v6i1.5274", "title": "Radicalization of Airspace Security: Prospects and Botheration of Drone Defense System Technology", "year": 2023, "authors": [ "Simeon Okechukwu Ajakwe", "Dong Seong Kim", "Jae‐Min Lee" ], "first_author": "Simeon Okechukwu Ajakwe", "venue": "The Journal of Intelligence Conflict and Warfare", "volume": null, "pages": null, "type": "article", "language": "en", "abstract": "The development of a comprehensive and decisive drone defense integrated control system that can provide maximum security is crucial for maintaining territorial integrity and accelerating smart aerial mobility to sustain the emerging drone transportation system (DTS) for priority-based logistics and mobile communication. This study explores recent developments in the design of robust drone defense control systems that can observe and respond not only to drone attacks inside and outside a facility but also to equipment data such as CCTV security control on the ground and security sensors in the facility at a glance. Also, it considered DDS strategies, schema, and innovative security setups in different regions. Finally, open research issues in DDs designs are discussed, and useful recommendations are provided. Effective means for drone source authentication, delivery package verification, operator authorization, and dynamic scenario-specific engagement are solicited for comprehensive DDS design for maximum security Received: 2023-03-07 Revised: 2023-04-27", "keywords": [ "Drone", "Computer security", "Computer science", "Authorization" ], "cited_by_openalex": 9, "cited_by_scopus": 0, "eid": null, "pii": null, "open_access_url": "https://journals.lib.sfu.ca/index.php/jicw/article/download/5274/4492", "sources": [ { "db": "openalex", "stream": "UAV", "query_id": "UAV-3" } ], "streams": [ "UAV" ], "relevance_signals": [ "UAV_NO_CTX" ], "auto_exclude_reason": "EC-4-topic", "screening_status": "auto_excluded", "screened_by": "auto-v1.0.0" }, { "id": "doi:10.1109/icuas57906.2023.10156184", "doi": "10.1109/icuas57906.2023.10156184", "title": "Implementing Urban Air Mobility in a Multi-Level Regulatory Framework: Perspectives from the EU", "year": 2023, "authors": [ "Mario Barbano", "Valentina Costa" ], "first_author": "Mario Barbano", "venue": null, "volume": null, "pages": null, "type": "conference-paper", "language": "en", "abstract": "This paper discusses the challenges arising from the extended use of Unmanned Aircraft Systems (UAS) within urban contexts targeting people and freight mobility purposes. First of all, drivers and barriers are examined from the operational and planner’s perspective, considering Urban Air Mobility (UAM) as part of the future transportation ecosystem. After a brief overview of the relevant European Union (EU) regulatory framework, issues concerning access to ground infrastructure and U-space governance will be examined, with a focus on Article 18(f) Regulation (EU) 2021/664 and recent European Union Aviation Safety Agency (EASA) guidance on this provision (AMC-GM). A uniform EU regime on UAM, as part of a strategy encompassing Innovative Air Mobility (IAM) as a whole, should be implemented with a certain degree of flexibility in order to adapt it to the peculiarities of each area, especially as far as access to airspace and ground infrastructure (vertiports, etc.) is concerned. For this reason, the role of local authorities remains crucial.", "keywords": [ "European union", "Flexibility (engineering)", "Aviation", "Agency (philosophy)", "Planner", "Order (exchange)", "Corporate governance", "Transport engineering", "Business", "Environmental economics", "Computer science", "Engineering" ], "cited_by_openalex": 9, "cited_by_scopus": 0, "eid": null, "pii": null, "open_access_url": "https://doi.org/10.1109/icuas57906.2023.10156184", "sources": [ { "db": "openalex", "stream": "UAV", "query_id": "UAV-3" } ], "streams": [ "UAV" ], "relevance_signals": [ "UAV_NO_CTX" ], "auto_exclude_reason": "EC-4-topic", "screening_status": "auto_excluded", "screened_by": "auto-v1.0.0" }, { "id": "doi:10.2514/1.i011245", "doi": "10.2514/1.i011245", "title": "Data-Driven Approach Toward Airspace Design for Regional Air Mobility Operations in Korea", "year": 2023, "authors": [ "Junghyun Kim", "Seul-Ki Kim" ], "first_author": "Junghyun Kim", "venue": "Journal of Aerospace Information Systems", "volume": "20", "pages": "605-617", "type": "article", "language": "en", "abstract": "As the Korean government agencies have recently announced the first official road map for urban air mobility (UAM) with the aim of introducing a new aviation transportation system, many companies in South Korea have initiated projects to design airspace infrastructure for UAM operations at the early stage of development. Given that the agencies tentatively plan to expand UAM to regional air mobility (RAM) operations at the mature stage of development, this research specifically focuses on establishing airspace infrastructure for upcoming RAM operations in South Korea. The proposed methodology leverages three different algorithms: 1) a partitioning-based clustering algorithm for placing vertiport locations, 2) a density-based clustering algorithm for predicting areas of convective weather, and 3) the Latin hypercube sampling-based probabilistic road map (LHS-based PRM) algorithm for generating an adaptive airspace network. The resulting airspace, constructed by the proposed methodology, takes into account airspace restriction areas such as prohibited areas or military operation areas. The main contribution of this research is to employ a data-driven approach using machine learning and LHS-based PRM algorithms to dynamically establish airspace infrastructure to be potentially used for upcoming RAM operations in South Korea.", "keywords": [ "Cluster analysis", "Aviation", "National Airspace System", "Air traffic control", "Flight plan", "Computer science", "Latin hypercube sampling", "Operations research", "Transport engineering", "Real-time computing", "Engineering", "Artificial intelligence" ], "cited_by_openalex": 7, "cited_by_scopus": "9", "eid": "2-s2.0-105034746687", "pii": null, "open_access_url": "https://doi.org/10.2514/1.i011245", "sources": [ { "db": "openalex", "stream": "UAV", "query_id": "UAV-3" }, { "db": "scopus", "stream": "UAV", "query_id": "UAV-3" } ], "streams": [ "UAV" ], "relevance_signals": [ "UAV_NO_CTX" ], "auto_exclude_reason": "EC-4-topic", "screening_status": "auto_excluded", "screened_by": "auto-v1.0.0" }, { "id": "doi:10.1109/dasc58513.2023.10311113", "doi": "10.1109/dasc58513.2023.10311113", "title": "Building a Performance Comparison Framework for Urban Air Mobility Airspace Management Concepts", "year": 2023, "authors": [ "Rabeb Abdellaoui", "Fares Naser", "Izabela Stasicka", "Nabil Hagag", "Hanbong Lee", "Kushal A. Moolchandani" ], "first_author": "Rabeb Abdellaoui", "venue": "AIAA IEEE Digital Avionics Systems Conference Proceedings", "volume": null, "pages": null, "type": "conference-paper", "language": "en", "abstract": "The demand for air transportation service using Urban Air Mobility (UAM) is expected to increase in the future saving travel times in urban areas. An adequate set of services for airspace network management supporting their operations will be then needed. Despite the numerous emerging topics of UAM being widely researched, an analysis of this need is yet to be explored. A multitude of stakeholders involved in the novel UAM industry are studying different airspace management concepts. These concepts are designed with different perspective and background, and tailored to individual goals and needs with no universal way of comparing them. Thus, building a performance comparison framework based on common metrics becomes essential for evaluating such concepts on a quantitative and qualitative level, independently of the country or company of operation. This paper provides a unified method for comparing, evaluating, and assessing different network designs and management concepts for UAM operations based on UAM-tailored metrics. Inspiration for suitable metrics can be drawn from common transportation means that are constantly in use such as commercial air, road, and rail transportation. A subset of key performance indicators from those three domains are considered suitable for UAM, as this emerging means of transportation has some similarities to them. Within this paper, three newly developed airspace management concepts and their applications to two different urban areas are presented first. Then, considering the applicability of existing benchmarks from the three other industries to UAM, a non-exhaustive, yet detailed list of metrics is provided to cover network, vertiport, safety, and human-centered aspects. For the initial investigation, only network-specific metrics are further analyzed and elaborated in this paper.", "keywords": [ "Computer science", "Air traffic management", "Set (abstract data type)", "Key (lock)", "Air traffic control", "Service (business)", "Cover (algebra)", "Transport engineering", "Risk analysis (engineering)", "Engineering", "Computer security", "Business" ], "cited_by_openalex": 7, "cited_by_scopus": "9", "eid": "2-s2.0-85178659675", "pii": null, "open_access_url": "https://doi.org/10.1109/dasc58513.2023.10311113", "sources": [ { "db": "openalex", "stream": "UAV", "query_id": "UAV-3" }, { "db": "scopus", "stream": "UAV", "query_id": "UAV-3" } ], "streams": [ "UAV" ], "relevance_signals": [ "UAV_NO_CTX" ], "auto_exclude_reason": "EC-4-topic", "screening_status": "auto_excluded", "screened_by": "auto-v1.0.0" }, { "id": "doi:10.1109/icns58246.2023.10124254", "doi": "10.1109/icns58246.2023.10124254", "title": "Development and Evaluation of a U-space Route Structure for the City of Frankfurt Connecting Airport and Trade Fair Via Fast-Time Simulation", "year": 2023, "authors": [ "Christian Kallies", "Karolin Schweiger", "Rostislav Karásek", "Fabian Morscheck", "Douwe Lambers" ], "first_author": "Christian Kallies", "venue": null, "volume": null, "pages": null, "type": "conference-paper", "language": "en", "abstract": "In the course of the European project CORUS-XUAM, a very large-scale demonstration was conducted for the metropolitan area of Frankfurt, for which a newly developed U-space route structure was conceptually elaborated. The demonstration exercise focuses on the initial definition and a near-term implementation of urban U-space corridors inside controlled airspace (class D) connecting terminal 2 of the Frankfurt Airport and the Frankfurt Trade Fair via air taxi services operating as airport shuttles. With advancements in navigation performance, monitoring, surveillance, communication technology and increasing operating experience, U-space corridors can transition to free flight trajectories. Local constraints such as approaching fixed-wing traffic, flights operating under visual flight rules (VFR) including helicopter emergency medical services, heliport operations, and a VFR holding pattern were taken into account in order to elaborate the course of the U-space corridors. Of special interest is the harmonization of airspace users inside and outside of U-space while ensuring safe and efficient conflict detection and resolution. A set of fast-time simulations have been conducted to evaluate the developed U-space route structure and its operating concept based on historic air traffic data for the metropolitan area of Frankfurt. Following the hypotheses that every 120 seconds an air taxi departure can be performed without causing a negative impact on airport operations, we evaluate the metrics U-space corridor usage, occupancy, throughput, number of resolved conflicts and occurring/imposed delay. In addition, we elaborate where conflicts occur and whether another air taxi or the background traffic caused them. Furthermore, we show how they can be resolved, i.e., how often and to what extend delaying and/or re-routing is applied throughout different scenarios. Using the selected separation values, it is possible to have air taxis departing every 90 s at both vertiports. This certainly changes when different separation thresholds are used. Additionally, we showed that all conflicts can be solved by applying a small ground delay or by simply choosing a different U-space corridor.", "keywords": [ "Metropolitan area", "Transport engineering", "Separation (statistics)", "Air traffic control", "Space (punctuation)", "Computer science", "Occupancy", "Air space", "Aviation", "Operations research", "Aeronautics", "Engineering" ], "cited_by_openalex": 9, "cited_by_scopus": 0, "eid": null, "pii": null, "open_access_url": "https://doi.org/10.1109/icns58246.2023.10124254", "sources": [ { "db": "openalex", "stream": "UAV", "query_id": "UAV-3" } ], "streams": [ "UAV" ], "relevance_signals": [ "UAV_NO_CTX" ], "auto_exclude_reason": "EC-4-topic", "screening_status": "auto_excluded", "screened_by": "auto-v1.0.0" }, { "id": "doi:10.2514/6.2023-0126", "doi": "10.2514/6.2023-0126", "title": "Vision-based Perception with Safety Awareness for UAS Autonomous Landing", "year": 2023, "authors": [ "Zhao Z." ], "first_author": "Zhao Z.", "venue": "AIAA Scitech Forum and Exposition 2023", "volume": null, "pages": null, "type": "Conference Paper", "language": null, "abstract": null, "keywords": [], "cited_by_openalex": 0, "cited_by_scopus": "9", "eid": "2-s2.0-85185340490", "pii": null, "open_access_url": null, "sources": [ { "db": "scopus", "stream": "UAV", "query_id": "UAV-1" } ], "streams": [ "UAV" ], "relevance_signals": [ "NO_TECHNOLOGY_MATCH" ], "auto_exclude_reason": "EC-4-topic", "screening_status": "auto_excluded", "screened_by": "auto-v1.0.0" }, { "id": "doi:10.1016/j.cor.2023.106295", "doi": "10.1016/j.cor.2023.106295", "title": "Synchronized truck and drone routing under disastrous conditions (case study: Urban thoroughfares disinfection)", "year": 2023, "authors": [ "Manshadian H." ], "first_author": "Manshadian H.", "venue": "Computers and Operations Research", "volume": "159", "pages": null, "type": "Article", "language": null, "abstract": null, "keywords": [], "cited_by_openalex": 0, "cited_by_scopus": "9", "eid": "2-s2.0-85163555436", "pii": "S0305054823001594", "open_access_url": null, "sources": [ { "db": "scopus", "stream": "UAV", "query_id": "UAV-2" } ], "streams": [ "UAV" ], "relevance_signals": [ "UAV_NO_CTX", "TRUCK_NO_CTX" ], "auto_exclude_reason": "EC-4-topic", "screening_status": "auto_excluded", "screened_by": "auto-v1.0.0" }, { "id": "doi:10.1209/0295-5075/ace078", "doi": "10.1209/0295-5075/ace078", "title": "Empirical analysis and modeling of the allometric scaling of urban freight systems", "year": 2023, "authors": [ "Xu-Jie Lin", "Erjian Liu", "Yitao Yang", "Xiangyu Jia", "Xiao-Yong Yan" ], "first_author": "Xu-Jie Lin", "venue": "Europhysics Letters (EPL)", "volume": "143", "pages": null, "type": "article", "language": "en", "abstract": "Abstract Heavy trucks which undertake the majority of freight volume play an important role in urban freight systems. By analyzing heavy truck trip data, we find a superlinear scaling relationship for heavy truck trips and a sublinear scaling relationship for heavy truck numbers relative to urban population size. Although these allometric scaling relationships that widely appear in nature and social systems have been explained by many models, a simple model that can cover a wide range of scaling exponents in these systems is still lacking. Here, we develop a partially mixing city operation model by quantifying the mixability of the urban population to explain why the superlinear and sublinear scaling exponents are in the range of 1 and . This simple model not only helps us understand the mechanism of allometric scaling of urban freight systems, but also provides a new framework for other superlinear and sublinear scaling relationships in cities.", "keywords": [ "Scaling", "Sublinear function", "Allometry", "Truck", "Range (aeronautics)", "Population", "Mathematics", "Econometrics", "Geography", "Ecology", "Engineering", "Demography" ], "cited_by_openalex": 9, "cited_by_scopus": "8", "eid": "2-s2.0-85164383444", "pii": null, "open_access_url": "https://iopscience.iop.org/article/10.1209/0295-5075/ace078/pdf", "sources": [ { "db": "openalex", "stream": "TRUCK", "query_id": "TRUCK-1" }, { "db": "scopus", "stream": "TRUCK", "query_id": "TRUCK-1" } ], "streams": [ "TRUCK" ], "relevance_signals": [ "TRUCK" ], "auto_exclude_reason": null, "screening_status": "pending_human_screening", "screened_by": "auto-v1.0.0" }, { "id": "doi:10.18485/aeletters.2023.8.4.1", "doi": "10.18485/aeletters.2023.8.4.1", "title": "Energy-Efficiency and Sustainability in Cross-Docking Supply Using E-Vehicles", "year": 2023, "authors": [ "Ágota Bányai" ], "first_author": "Ágota Bányai", "venue": "Applied Engineering Letters Journal of Engineering and Applied Sciences", "volume": "8", "pages": "139-147", "type": "article", "language": "en", "abstract": "Manufacturing and service companies in different sectors are trying to green their supply chains in two ways: by optimizing processes and by using green technologies such as electric vehicles.Cross-docking offers a good solution for optimizing supply chain processes.The aim of this research is to investigate how cross-docking supply with electric vehicles can lead to energy efficient solutions and emission reduction.The scientific novelty of this research is the integration of a process improvement solution and the application of advanced technology through optimization.The presented functional model, mathematical model and its solution algorithm are suitable to demonstrate the economic feasibility of applying a crossdocking facility and solving the transportation tasks with e-trucks for a conventional supply chain.Based on the numerical studies presented, it can be concluded, that the proposed solution can significantly contribute to the optimization of local and global supply chains, reducing the ecological footprint of supply chains both locally and globally.As the analysis of case studies shows, it is possible to reach an energy efficiency improvement of about 40%, which can also lead to a significant GHG emission up to 30%.", "keywords": [ "Supply chain", "Truck", "Sustainability", "Efficient energy use", "Ecological footprint", "Computer science", "Energy supply", "Novelty", "Automotive engineering", "Greenhouse gas", "Environmental economics", "Business" ], "cited_by_openalex": 8, "cited_by_scopus": "8", "eid": "2-s2.0-85180817111", "pii": null, "open_access_url": "http://doi.fil.bg.ac.rs/pdf/journals/aeletters/2023-4/aeletters-2023-8-4-1.pdf", "sources": [ { "db": "openalex", "stream": "TRUCK", "query_id": "TRUCK-3" }, { "db": "scopus", "stream": "TRUCK", "query_id": "TRUCK-3" } ], "streams": [ "TRUCK" ], "relevance_signals": [ "TRUCK_NO_CTX" ], "auto_exclude_reason": "EC-4-topic", "screening_status": "auto_excluded", "screened_by": "auto-v1.0.0" }, { "id": "doi:10.1016/j.cie.2023.109238", "doi": "10.1016/j.cie.2023.109238", "title": "The Profitable Single Truck and Trailer Routing Problem with Time Windows: Formulation, valid inequalities and branch-and-cut algorithms", "year": 2023, "authors": [ "Henrique Favarini Alves da Cruz", "Alexandre Salles da Cunha" ], "first_author": "Henrique Favarini Alves da Cruz", "venue": "Computers & Industrial Engineering", "volume": "180", "pages": null, "type": "article", "language": "en", "abstract": "The Profitable Single Truck and Trailer Routing Problem with Time Windows (PSTTRPTW) is defined by a fleet of trucks and trailers and a set of customers that reward a profit if their supply is collected within a time window. Trailers can be attached to trucks in order to raise capacity, at the expense of increasing travel time and cost. Trailers can be decoupled from trucks at satellite depots, after which the truck performs subtours, visiting customers inaccessible by trailers. A route may include any number of subtours, as long as the vehicle’s capacity is respected. The goal is to find a route for a single choice of truck and trailer maximizing the difference between the collected profit and the route cost. We introduce an Integer Programming formulation, preprocessing tests, valid inequalities and investigate two PSTTRPTW Branch-and-cut (BC) algorithms, one of them based on the basic formulation and the other, on the strengthened model. Our numerical results show that these preprocessing tests reduced the number of variables by about 30%. In addition, the Linear Programming relaxations provided by the strongest model are, on average, 25% sharper than those given by the basic model. As a result, the reinforced BC algorithm has the edge: it is faster, solves all instances solved by its competitor and 13 additional ones, and provides optimality gaps 14% smaller when optimality is not certified. • We investigate a routing problem arising in the dairy industry. • Trailers can be detached from trucks to implement subtours and access some customers. • Routes implement as many subtours as needed provided truck’s capacities are enforced. • Integer programming formulation, preprocessing and valid inequalities are proposed. • A branch-and-cut algorithm based on the reinforced model outperforms the basic one.", "keywords": [ "Truck", "Trailer", "Preprocessor", "Integer programming", "Linear programming", "Profit (economics)", "Computer science", "Vehicle routing problem", "Routing (electronic design automation)", "Mathematical optimization", "Operations research", "Mathematics" ], "cited_by_openalex": 11, "cited_by_scopus": "8", "eid": "2-s2.0-85153276939", "pii": "S0360835223002620", "open_access_url": "https://doi.org/10.1016/j.cie.2023.109238", "sources": [ { "db": "openalex", "stream": "TRUCK", "query_id": "TRUCK-3" }, { "db": "scopus", "stream": "TRUCK", "query_id": "TRUCK-3" } ], "streams": [ "TRUCK" ], "relevance_signals": [ "TRUCK_NO_CTX" ], "auto_exclude_reason": "EC-4-topic", "screening_status": "auto_excluded", "screened_by": "auto-v1.0.0" }, { "id": "doi:10.3397/in_2022_0721", "doi": "10.3397/in_2022_0721", "title": "Drone noise in my backyard: the challenges for public acceptability", "year": 2023, "authors": [ "Roalt Aalmoes", "Marta Tojal Castro", "Naomi Sieben", "Rui Roosien" ], "first_author": "Roalt Aalmoes", "venue": "NOISE-CON proceedings", "volume": null, "pages": null, "type": "conference-paper", "language": "en", "abstract": "The introduction of drones in urban areas for surveillance, parcel delivery services, air taxis, or other services have raised the issue of public acceptability. How can this concept known as Urban Air Mobility (UAM) be successfully introduced in an area without upsetting communities? And how can not yet known benefits of these services be compared to feared drawbacks? Noise impact is already considered to be one of the main concerns for successful introduction of UAM, but focusing on noise levels exclusively may not be enough. Based on recent research on noise annoyance and how it affects individuals and communities, a holistic approach, including noise impact, as well as non-acoustical factors, is presented to address the annoyance towards these disruptive air vehicles. Subjective measures should be considered including demographic factors, as well as perceptional factors, such as the visual environment where these vehicles operate, and emotional factors such as attitude towards drones and air taxis. Using this approach, studies on noise impact of UAM will be able to evaluate the use cases in their intended setting and with the appropriate target communities to assess the true impact and define the real challenges to overcome for noise research in the coming decade.", "keywords": [ "Annoyance", "Taxis", "Drone", "Noise (video)", "Noise control", "Business", "Noise pollution", "Transport engineering", "Environmental planning", "Computer science", "Engineering", "Geography" ], "cited_by_openalex": 8, "cited_by_scopus": 0, "eid": null, "pii": null, "open_access_url": "https://doi.org/10.3397/in_2022_0721", "sources": [ { "db": "openalex", "stream": "UAV", "query_id": "UAV-1" } ], "streams": [ "UAV" ], "relevance_signals": [ "UAV" ], "auto_exclude_reason": null, "screening_status": "pending_human_screening", "screened_by": "auto-v1.0.0" }, { "id": "doi:10.30518/jav.1277694", "doi": "10.30518/jav.1277694", "title": "Drone Technology in Transportation Management: A Systematic Review and Framework for Future Research", "year": 2023, "authors": [ "Muhammed Turğut", "Bilal ŞEKER" ], "first_author": "Muhammed Turğut", "venue": "Journal of Aviation", "volume": null, "pages": null, "type": "review", "language": "en", "abstract": "This study examines the current state of the drone technology literature in detail, both academically and industrially. It describes the advantages and disadvantages of drones in the use of logistics activities, the methods used in the studies and the gaps in the literature. In addition, this study aims to reveal the academic efforts about drone-based transportation systems that will have a say in the future and which areas require effort in the future. In this article, a systematic literature review (SLR) about the use of drones in the transportation industry has been carried out. In total, 56 articles published in Elsevier's Scopus, Thomson Reuter's Web of Science, IEEE Xplore and ScienceDirect (Elsevier) databases were examined in detail. The findings show that the use of drones in transportation activities is an effective method. However, the fact that it is a technology that has just been integrated into business processes reveals that there are aspects that need to be developed. Especially in the last ten years, they found that businesses have benefited from drone technology in their transportation activities that increased their last mile delivery speed, efficiency, accessibility and customer satisfaction.", "keywords": [ "Drone", "Scopus", "Web of science", "Systematic review", "Engineering management", "Business", "Computer science", "Knowledge management", "Transport engineering", "Engineering", "Political science" ], "cited_by_openalex": 8, "cited_by_scopus": 0, "eid": null, "pii": null, "open_access_url": "https://doi.org/10.30518/jav.1277694", "sources": [ { "db": "openalex", "stream": "UAV", "query_id": "UAV-1" } ], "streams": [ "UAV" ], "relevance_signals": [ "UAV" ], "auto_exclude_reason": null, "screening_status": "pending_human_screening", "screened_by": "auto-v1.0.0" }, { "id": "doi:10.1007/978-3-031-25891-6_17", "doi": "10.1007/978-3-031-25891-6_17", "title": "A Bee Colony Optimization Approach for the Electric Vehicle Routing Problem with Drones", "year": 2023, "authors": [ "Nikolaos A. Kyriakakis", "Themistoklis Stamadianos", "Magdalene Marinaki", "Nikolaos F. Matsatsinis", "Yannis Marinakis" ], "first_author": "Nikolaos A. Kyriakakis", "venue": "Lecture notes in computer science", "volume": "13811 LNCS", "pages": "219-233", "type": "conference-paper", "language": "en", "abstract": null, "keywords": [ "Drone", "Computer science", "Swarm intelligence", "Artificial bee colony algorithm", "Metaheuristic", "Routing (electronic design automation)", "Variable neighborhood search", "Mathematical optimization", "Swarm behaviour", "Electric vehicle", "Vehicle routing problem", "Optimization problem" ], "cited_by_openalex": 6, "cited_by_scopus": "8", "eid": "2-s2.0-85151059484", "pii": null, "open_access_url": "https://doi.org/10.1007/978-3-031-25891-6_17", "sources": [ { "db": "openalex", "stream": "UAV", "query_id": "UAV-1" }, { "db": "openalex", "stream": "UAV", "query_id": "UAV-2" }, { "db": "scopus", "stream": "UAV", "query_id": "UAV-1" }, { "db": "scopus", "stream": "UAV", "query_id": "UAV-2" } ], "streams": [ "UAV" ], "relevance_signals": [ "UAV_NO_CTX" ], "auto_exclude_reason": "EC-4-topic", "screening_status": "auto_excluded", "screened_by": "auto-v1.0.0" }, { "id": "doi:10.1016/j.ifacol.2023.10.036", "doi": "10.1016/j.ifacol.2023.10.036", "title": "Accurate Wind Observation and Robust Control for Drones in the Field of Micro-meteorology⋆", "year": 2023, "authors": [ "Abner Asignacion", "Ryusuke Noda", "Toshiyuki Nakata", "Daisuke Tsubakino", "Hao Liu", "Satoshi Suzuki" ], "first_author": "Abner Asignacion", "venue": "IFAC-PapersOnLine", "volume": "56", "pages": "8616-8621", "type": "article", "language": "en", "abstract": "Urban logistics has been the primary target for recent drone applications. However, these drones face varying weather conditions in their flight horizon that can limit their performance. From another perspective, this flight horizon is the focus of micro-meteorology data gathering for a city-wide accurate weather prediction system. Hence, these drones can carry out logistics while gathering micro-meteorology data. This paper focuses on the latter and aims to realize the drone capabilities required for forecasting micro-meteorology, especially observing highly accurate wind data and robust control capability against strong wind disturbances. The generation of wind maps using a 2D wind sensor mounted on a drone and wind gust estimation using a nonlinear disturbance observer (NDOB) are proposed as the capability for accurate wind observation. Next, the position and velocity control of the drone using super twisting sliding mode control (STSMC) and NDOB are designed for robust control. Lastly, numerical simulation and real-world experiments verify the effectiveness of the whole system proposed in this paper.", "keywords": [ "Drone", "Computer science", "Wind speed", "Meteorology", "Geography" ], "cited_by_openalex": 9, "cited_by_scopus": "8", "eid": "2-s2.0-85184959962", "pii": "S2405896323003762", "open_access_url": "https://doi.org/10.1016/j.ifacol.2023.10.036", "sources": [ { "db": "openalex", "stream": "UAV", "query_id": "UAV-1" }, { "db": "scopus", "stream": "UAV", "query_id": "UAV-1" } ], "streams": [ "UAV" ], "relevance_signals": [ "UAV" ], "auto_exclude_reason": null, "screening_status": "pending_human_screening", "screened_by": "auto-v1.0.0" }, { "id": "doi:10.1080/25765299.2023.2275505", "doi": "10.1080/25765299.2023.2275505", "title": "Ant colony algorithm to solve a drone routing problem for hazardous waste collection", "year": 2023, "authors": [ "Khadija Abdulsattar", "Youssef Harrath", "Jihene Kaabi" ], "first_author": "Khadija Abdulsattar", "venue": "Arab Journal of Basic and Applied Sciences", "volume": "30", "pages": "636-649", "type": "article", "language": "en", "abstract": "Waste management issues are affecting the economic and environmental aspects of modern societies.Thus, growing the interest of academic and industrial research and development in optimizing the process of waste management.As these issues greatly impact human health and environmental aspects and impose a threat, hazardous waste management requires even much more attention.The problem studied in this research is a variant of the vehicle routing problem using an unmanned aerial vehicle (UAV).The focus of this research is on planning the routes for waste collection and disposal using a UAV.The aim is to collect all the waste as early as possible respecting two constraints; the maximum flying and load capacities of the UAV.A two-phase approach has been proposed to solve the investigated problem.This approach is a hybridization of a developed heuristic (IMWMTT) and an Ant Colony Optimization (ACO) algorithm.The experimental study showed that the hybrid approach outperforms a recently published heuristic MWMTT for all tested instances of various sizes.", "keywords": [ "Hazardous waste", "Ant colony optimization algorithms", "Heuristic", "Vehicle routing problem", "Computer science", "Process (computing)", "Waste collection", "Drone", "Routing (electronic design automation)", "Operations research", "Ant colony", "Engineering" ], "cited_by_openalex": 4, "cited_by_scopus": "8", "eid": "2-s2.0-85175727464", "pii": null, "open_access_url": "https://www.tandfonline.com/doi/pdf/10.1080/25765299.2023.2275505?needAccess=true", "sources": [ { "db": "openalex", "stream": "UAV", "query_id": "UAV-2" }, { "db": "scopus", "stream": "UAV", "query_id": "UAV-2" } ], "streams": [ "UAV" ], "relevance_signals": [ "UAV_NO_CTX" ], "auto_exclude_reason": "EC-4-topic", "screening_status": "auto_excluded", "screened_by": "auto-v1.0.0" }, { "id": "doi:10.1109/icuas57906.2023.10156585", "doi": "10.1109/icuas57906.2023.10156585", "title": "Solving Vehicle Routing Problem for Unmanned Heterogeneous Vehicle Systems using Asynchronous Multi-Agent Architecture (A-teams)", "year": 2023, "authors": [ "R. Subramanian", "Md Safwan Mondal", "Jean-Paul Reddinger", "James M. Dotterweich", "James D. Humann", "Marshal Childers", "Pranav A. Bhounsule" ], "first_author": "R. Subramanian", "venue": "2023 International Conference on Unmanned Aircraft Systems Icuas 2023", "volume": null, "pages": "95-102", "type": "conference-paper", "language": "en", "abstract": "Fast moving but power hungry unmanned aerial vehicles (UAVs) can recharge on slow-moving unmanned ground vehicles (UGVs) to cooperatively perform tasks over wide areas. Such a cooperation can be achieved efficiently by solving a path planning problem. On top of solving a path planning problem, the problem of routing an heterogeneous set of vehicles in an optimal fashion is quite challenging. In order to solve the computationally expensive path-planning problem in a reasonable time, we created a two-level optimization approach with heuristics. At the outer level, the UGV route is parameterized by considering which set of locations to visit in the scenario and the UGV wait times to recharge UAVs and at the inner level, the UAV route is solved by formulating and solving a vehicle routing problem with capacity constraints, time windows, and dropped visits. The UGV free parameters need to be optimized judiciously in order to create high quality solutions. We explore two methods for tuning the free UGV parameters: (1) a Genetic Algorithm (GA), and (2) Asynchronous Multi-agent architecture (A-teams). The A-teams uses multiple agents to create, improve, and destroy solutions. The parallel asynchronous architecture enables A-teams to quickly optimize the parameters. Our results on test cases show that the A-teams produces similar solutions as GA but is 2-3 times faster.", "keywords": [ "Computer science", "Asynchronous communication", "Heuristics", "Routing (electronic design automation)", "Unmanned ground vehicle", "Motion planning", "Set (abstract data type)", "Parameterized complexity", "Vehicle routing problem", "Path (computing)", "Distributed computing", "Architecture" ], "cited_by_openalex": 9, "cited_by_scopus": "8", "eid": "2-s2.0-85165716335", "pii": null, "open_access_url": "https://doi.org/10.1109/icuas57906.2023.10156585", "sources": [ { "db": "openalex", "stream": "UAV", "query_id": "UAV-2" }, { "db": "scopus", "stream": "UAV", "query_id": "UAV-2" } ], "streams": [ "UAV" ], "relevance_signals": [ "UAV_NO_CTX" ], "auto_exclude_reason": "EC-4-topic", "screening_status": "auto_excluded", "screened_by": "auto-v1.0.0" }, { "id": "doi:10.2514/6.2023-3577", "doi": "10.2514/6.2023-3577", "title": "Optimized capacity allocation in a UAM vertiport network utilizing efficient ride matching", "year": 2023, "authors": [ "Majed Swaid", "Jan Pertz", "Malte Niklaß", "Florian Linke" ], "first_author": "Majed Swaid", "venue": "AIAA Aviation and Aeronautics Forum and Exposition AIAA Aviation Forum 2023", "volume": null, "pages": null, "type": "conference-paper", "language": "en", "abstract": "View Video Presentation: https://doi.org/10.2514/6.2023-3577.vid In this study, we present an approach that allows to design efficient UAM fleets and corresponding vertiport networks for specific demand patterns. Therefore, we apply a trajectory-based simulation model that controls the circulation of vehicles in a UAM network. The model allocates vehicles from an unlimited fleet pool to the requested missions, such that the boundary conditions of the optimization are fulfilled. Applying a combination of graph-based optimization and solving integer linear programming problems, a ride matching algorithm is implemented that minimizes empty relocation flights in the network and reduces the fleet size. The results comprise the quantification of a fleet pool, defined by fleet size, fleet mix, and starting positions in the vertiport network. We analyze a set of 20 vertiports in the City of Hamburg, Germany, regarding the local peak loads of parking positions that are needed for battery charging and waiting periods of unoccupied vehicles. The results show that the reduction of battery charging time has a significant impact on fleet size, which affects the minimum ground infrastructure requirements as well. Finally, the fleet analysis shows that average load factors of 45% are feasible at fleet sizes with varying occupancy rates of up to 80%.", "keywords": [ "Computer science", "Linear programming", "Matching (statistics)", "Occupancy", "Integer programming", "Battery (electricity)", "Fleet management", "Battery capacity", "Mathematical optimization", "Operations research", "Engineering", "Mathematics" ], "cited_by_openalex": 7, "cited_by_scopus": "8", "eid": "2-s2.0-85174886210", "pii": null, "open_access_url": "https://doi.org/10.2514/6.2023-3577", "sources": [ { "db": "openalex", "stream": "UAV", "query_id": "UAV-3" }, { "db": "scopus", "stream": "UAV", "query_id": "UAV-3" } ], "streams": [ "UAV" ], "relevance_signals": [ "UAV_NO_CTX" ], "auto_exclude_reason": "EC-4-topic", "screening_status": "auto_excluded", "screened_by": "auto-v1.0.0" }, { "id": "doi:10.1109/dasc58513.2023.10311299", "doi": "10.1109/dasc58513.2023.10311299", "title": "Intelligent Vertiport Traffic Flow Management for Scalable Advanced Air Mobility Operations", "year": 2023, "authors": [ "Christopher Conrad", "Yan Xu", "Deepak Kumar Panda", "Antonios Tsourdos" ], "first_author": "Christopher Conrad", "venue": "AIAA IEEE Digital Avionics Systems Conference Proceedings", "volume": null, "pages": null, "type": "conference-paper", "language": "en", "abstract": "Advanced air mobility (AAM) operations will pose new challenges that require innovative air traffic management (ATM) and uncrewed aircraft system (UAS) traffic management (UTM) solutions. Notably, emerging vertiports must support vertical take-off and landing (VTOL) vehicles, on-demand AAM services, denser airspace volumes, and dynamic airspace structures. Additionally, traffic flow management systems must cater for stricter flight envelopes, micro-weather variations, small uncooperative aerial objects, limited vertiport occupancy, and battery restrictions of electric vehicles. This requires large volumes of unlabelled data that conventional algorithms cannot effectively process in a timely manner. This work thereby proposes a data model for vertiport traffic management, and investigates intelligent solutions to leverage this vast data infrastructure. It considers on-demand vertiport flight authorisation as a demonstrative use-case of emerging AAM requirements, and proposes a data model aligned with safety-layers and corridor-based airspace proposals in several global AAM concept of operations (ConOps). On-demand scheduling of electric VTOL (eVTOL) aircraft is first formulated as a constrained optimisation problem, and solved using mixed-integer linear programming techniques. The limitations of this approach are subsequently addressed through a deep reinforcement learning (DRL) solution that is quicker and more robust to system uncertainty. This investigation thereby proposes a pathway towards scalable, intelligent and multi-agent systems for AAM resource management and optimisation.", "keywords": [ "Scalability", "Computer science", "Air traffic management", "Leverage (statistics)", "Reinforcement learning", "Scheduling (production processes)", "Air traffic control", "Distributed computing", "Engineering", "Artificial intelligence", "Aerospace engineering" ], "cited_by_openalex": 5, "cited_by_scopus": "8", "eid": "2-s2.0-85178664028", "pii": null, "open_access_url": "https://dspace.lib.cranfield.ac.uk/bitstreams/a7b5398c-4cb9-41e3-9c4f-ca34388d0fd6/download", "sources": [ { "db": "openalex", "stream": "UAV", "query_id": "UAV-3" }, { "db": "scopus", "stream": "UAV", "query_id": "UAV-3" } ], "streams": [ "UAV" ], "relevance_signals": [ "UAV_NO_CTX" ], "auto_exclude_reason": "EC-4-topic", "screening_status": "auto_excluded", "screened_by": "auto-v1.0.0" }, { "id": "doi:10.2514/1.d0332", "doi": "10.2514/1.d0332", "title": "Predeparture Flight Planning to Minimize Operating Cost for Urban Air Mobility", "year": 2023, "authors": [ "Hualong Tang", "Yu Zhang", "Joseph A. Post" ], "first_author": "Hualong Tang", "venue": "Journal of Air Transportation", "volume": null, "pages": null, "type": "article", "language": "en", "abstract": "Urban air mobility (UAM) is envisioned to move to highly automated and high-density operations in low-altitude urban airspace in the future. Providers of services for UAM (PSU), rather than the legacy air traffic control, are anticipated to support operators with operational planning, aircraft deconfliction, conformance monitoring, and emergency information dissemination. Such services, for hundreds to thousands of simultaneous UAM operations in constrained airspace, can only be realized with automated systems. In this study, airspace and deconfliction models for generating predeparture conflict-free four-dimensional (4-D) flight trajectories are proposed, which can be further developed into an automated flight planning tool for PSU. A semistructured scalable airspace design for future UAM is proposed (i.e., a layered airspace topology with direct routes between vertiports, avoiding physical obstacles, such as buildings, obstructions, and restricted airspace) using the visibility graph method. Based on the proposed airspace design, deconfliction strategies (e.g., flight-level assignment and departure delay) are applied to obtain predeparture conflict-free 4-D trajectories of UAM operations by solving a mixed-integer programming problem, with the objective function to minimize the operating cost of UAM operations. Furthermore, sensitivity analysis is performed to investigate the impacts of three key cost parameters (electricity price, crew hourly rate, and maintenance hourly rate). The relationships of departure delay bound (maximum departure delay allowed) vs operating cost saving and departure delay bound vs delay cost to passengers are examined, as is the tradeoff between operating cost saving and passenger delay cost.", "keywords": [ "Free flight", "Air traffic control", "Crew", "Computer science", "Operating cost", "Visibility", "Separation (statistics)", "Key (lock)", "Operations research", "Flight planning", "Simulation", "Real-time computing" ], "cited_by_openalex": 8, "cited_by_scopus": 0, "eid": null, "pii": null, "open_access_url": "https://doi.org/10.2514/1.d0332", "sources": [ { "db": "openalex", "stream": "UAV", "query_id": "UAV-3" } ], "streams": [ "UAV" ], "relevance_signals": [ "UAV_NO_CTX" ], "auto_exclude_reason": "EC-4-topic", "screening_status": "auto_excluded", "screened_by": "auto-v1.0.0" }, { "id": "doi:10.2514/6.2023-1331", "doi": "10.2514/6.2023-1331", "title": "Landing Framework and Control for EVTOL Aircraft in Urban Environments", "year": 2023, "authors": [ "Taizo Meyer-Oehme", "Kilian Ginnell", "David E. Lampl", "Sophie Franziska Armanini" ], "first_author": "Taizo Meyer-Oehme", "venue": "AIAA SCITECH 2023 Forum", "volume": null, "pages": null, "type": "conference-paper", "language": "en", "abstract": "View Video Presentation: https://doi.org/10.2514/6.2023-1331.vid Electric Vertical Take-Off and Landing (eVTOL) vehicles may be the key to expanding transportation to the third dimension. However, the safe and efficient integration of eVTOL vehicles is a difficult task due to the challenging urban environment. Especially during landing of an Urban Air Mobility (UAM) eVTOL, critical infrastructure, confined spaces, and densely populated areas pose high safety risks, which are even amplified by adverse environmental conditions and urban wind phenomena due to building-wind interaction. This paper aims to provide two contributions. First, a landing framework is developed to gain a detailed understanding on safe landings in urban settings. Based on the Bowtie hazard assessment methodology challenges are analyzed, and safety-enhancing technologies and concepts for mitigation and control are discussed. The framework identifies a landing controller and landing automation module (LAM) as cornerstones. For demonstration of the approach, in this paper, we implement an incremental nonlinear dynamic inversion (INDI) controller for the landing task with a suitable flight dynamics model of a scaled-down lift-and-cruise prototype. Lastly, the controller is tested in a simulation environment, both in wind-free conditions, steady winds, gusts and in a realistic open-source urban wind field based on CFD simulations. The results from the landing simulations can aid the definition of eVTOL controller requirements as well as the definition of vertiport-specific landing paths.", "keywords": [ "Lift (data mining)", "Computer science", "Controller (irrigation)", "Cruise", "Vehicle dynamics", "Marine engineering", "Aerospace engineering", "Engineering" ], "cited_by_openalex": 5, "cited_by_scopus": "8", "eid": "2-s2.0-85196216632", "pii": null, "open_access_url": "http://dx.doi.org/10.2514/6.2023-1331", "sources": [ { "db": "openalex", "stream": "UAV", "query_id": "UAV-3" }, { "db": "scopus", "stream": "UAV", "query_id": "UAV-3" } ], "streams": [ "UAV" ], "relevance_signals": [ "UAV_NO_CTX" ], "auto_exclude_reason": "EC-4-topic", "screening_status": "auto_excluded", "screened_by": "auto-v1.0.0" }, { "id": "doi:10.1109/ipccc59175.2023.10253857", "doi": "10.1109/ipccc59175.2023.10253857", "title": "UAV-Assisted Computation Offloading in Vehicular Networks", "year": 2023, "authors": [ "Insaf Rzig", "Wael Jaafar", "Maha Jebalia", "Sami Tabbane" ], "first_author": "Insaf Rzig", "venue": "Conference Proceedings of the IEEE International Performance Computing and Communications Conference", "volume": null, "pages": "236-241", "type": "conference-paper", "language": "en", "abstract": "Unmanned aerial vehicle (UAV) technology has recently attracted interest due to its rapid and flexible deployment. It became a key component of several applications such as aerial delivery and precision agriculture. Moreover, with enhanced payloads, e.g., storage and computing, UAVs can support critical services including road traffic monitoring, accident prediction, and connected-automated vehicles (CAVs). Particularly, computing-enabled UAVs permit CAVs’ task offloading. However, efficient offloading that accounts for the UAVs’ inherent characteristics remains under-investigated. In this context, we propose to study a UAV-assisted vehicular network, where a UAV flies according to a pre-defined come-and-go trajectory and communicates with nearby CAVs to offload their tasks. We target maximizing the ratio of successfully offloaded tasks by jointly optimizing the initial UAV launching point and traveling direction and strategically associating CAVs to the UAV for successful task offloading. Due to the formulated problem’s complexity, we propose two approaches to solve it, namely genetic algorithm (GA) based solution and an iterative exhaustive-linear programming (IE-LP) based one. Through experiments, we demonstrate the proposed algorithms’ superior performance in terms of task offloading success ratio compared to benchmarks, and in different conditions. These results can serve as guidelines for the development of more sophisticated UAV-enabled task offloading approaches in next-generation wireless networks.", "keywords": [ "Computer science", "Software deployment", "Context (archaeology)", "Task (project management)", "Trajectory", "Key (lock)", "Wireless", "Real-time computing", "Linear programming", "Vehicular ad hoc network", "Wireless network", "Distributed computing" ], "cited_by_openalex": 6, "cited_by_scopus": "8", "eid": "2-s2.0-85182929346", "pii": null, "open_access_url": "https://doi.org/10.1109/ipccc59175.2023.10253857", "sources": [ { "db": "openalex", "stream": "UAV", "query_id": "UAV-3" }, { "db": "scopus", "stream": "UAV", "query_id": "UAV-3" } ], "streams": [ "UAV" ], "relevance_signals": [ "UAV_NO_CTX" ], "auto_exclude_reason": "EC-4-topic", "screening_status": "auto_excluded", "screened_by": "auto-v1.0.0" }, { "id": "doi:10.3390/en16134992", "doi": "10.3390/en16134992", "title": "Analysis of GHG Emission from Cargo Vehicles in Megacities: The Case of the Metropolitan Zone of the Valley of Mexico", "year": 2023, "authors": [ "Vallarta-Serrano S.I." ], "first_author": "Vallarta-Serrano S.I.", "venue": "Energies", "volume": "16", "pages": null, "type": "Article", "language": null, "abstract": null, "keywords": [], "cited_by_openalex": 0, "cited_by_scopus": "8", "eid": "2-s2.0-85164993882", "pii": null, "open_access_url": null, "sources": [ { "db": "scopus", "stream": "TRUCK", "query_id": "TRUCK-1" } ], "streams": [ "TRUCK" ], "relevance_signals": [ "NO_TECHNOLOGY_MATCH" ], "auto_exclude_reason": "EC-4-topic", "screening_status": "auto_excluded", "screened_by": "auto-v1.0.0" }, { "id": "doi:10.3390/su15020925", "doi": "10.3390/su15020925", "title": "Bi-Level Fleet Dispatching Strategy for Battery-Electric Trucks: A Real-World Case Study", "year": 2023, "authors": [ "Peng D." ], "first_author": "Peng D.", "venue": "Sustainability Switzerland", "volume": "15", "pages": null, "type": "Article", "language": null, "abstract": null, "keywords": [], "cited_by_openalex": 0, "cited_by_scopus": "8", "eid": "2-s2.0-85161565744", "pii": null, "open_access_url": null, "sources": [ { "db": "scopus", "stream": "TRUCK", "query_id": "TRUCK-1" }, { "db": "scopus", "stream": "TRUCK", "query_id": "TRUCK-2" } ], "streams": [ "TRUCK" ], "relevance_signals": [ "TRUCK_NO_CTX" ], "auto_exclude_reason": "EC-4-topic", "screening_status": "auto_excluded", "screened_by": "auto-v1.0.0" }, { "id": "doi:10.26552/com.c.2023.076", "doi": "10.26552/com.c.2023.076", "title": "SMART CITY AND URBAN LOGISTICS - RESEARCH TRENDS AND CHALLENGES: SYSTEMATIC LITERATURE REVIEW", "year": 2023, "authors": [ "Chocholáč J." ], "first_author": "Chocholáč J.", "venue": "Communications Scientific Letters of the University of Zilina", "volume": "25", "pages": "A175-A192", "type": "Review", "language": null, "abstract": null, "keywords": [], "cited_by_openalex": 0, "cited_by_scopus": "8", "eid": "2-s2.0-85176930495", "pii": null, "open_access_url": null, "sources": [ { "db": "scopus", "stream": "TRUCK", "query_id": "TRUCK-2" } ], "streams": [ "TRUCK" ], "relevance_signals": [ "NO_TECHNOLOGY_MATCH" ], "auto_exclude_reason": "EC-4-topic", "screening_status": "auto_excluded", "screened_by": "auto-v1.0.0" }, { "id": "doi:10.22111/ijfs.2023.41416.7203", "doi": "10.22111/ijfs.2023.41416.7203", "title": "A new interval-valued fuzzy optimization model for truck scheduling in a multi-door cross-docking system by considering transshipment and flexible dock doors extra cost", "year": 2023, "authors": [ "Rajabzadeh M." ], "first_author": "Rajabzadeh M.", "venue": "Iranian Journal of Fuzzy Systems", "volume": "20", "pages": "63-84", "type": "Article", "language": null, "abstract": null, "keywords": [], "cited_by_openalex": 0, "cited_by_scopus": "8", "eid": "2-s2.0-85178942854", "pii": null, "open_access_url": null, "sources": [ { "db": "scopus", "stream": "TRUCK", "query_id": "TRUCK-3" } ], "streams": [ "TRUCK" ], "relevance_signals": [ "TRUCK_NO_CTX" ], "auto_exclude_reason": "EC-4-topic", "screening_status": "auto_excluded", "screened_by": "auto-v1.0.0" }, { "id": "doi:10.1109/cdc49753.2023.10383203", "doi": "10.1109/cdc49753.2023.10383203", "title": "Adaptive Anti-swing Control for Clasping Operations in Quadrotors with Cable-suspended Payload", "year": 2023, "authors": [ "Dantu S." ], "first_author": "Dantu S.", "venue": "Proceedings of the IEEE Conference on Decision and Control", "volume": null, "pages": "503-508", "type": "Conference Paper", "language": null, "abstract": null, "keywords": [], "cited_by_openalex": 0, "cited_by_scopus": "8", "eid": "2-s2.0-85184821219", "pii": null, "open_access_url": null, "sources": [ { "db": "scopus", "stream": "UAV", "query_id": "UAV-3" } ], "streams": [ "UAV" ], "relevance_signals": [ "NO_TECHNOLOGY_MATCH" ], "auto_exclude_reason": "EC-4-topic", "screening_status": "auto_excluded", "screened_by": "auto-v1.0.0" }, { "id": "doi:10.2139/ssrn.4557554", "doi": "10.2139/ssrn.4557554", "title": "Last Mile Delivery with Drones and Sharing Economy", "year": 2023, "authors": [ "Mehdi Behroozi", "Dinghao Ma" ], "first_author": "Mehdi Behroozi", "venue": "SSRN Electronic Journal", "volume": null, "pages": null, "type": "preprint", "language": "en", "abstract": null, "keywords": [ "Drone", "Mile", "Last mile (transportation)", "Sharing economy", "Business", "Computer science", "Geography", "World Wide Web" ], "cited_by_openalex": 7, "cited_by_scopus": 0, "eid": null, "pii": null, "open_access_url": "https://doi.org/10.2139/ssrn.4557554", "sources": [ { "db": "openalex", "stream": "TRUCK", "query_id": "TRUCK-1" }, { "db": "openalex", "stream": "UAV", "query_id": "UAV-1" } ], "streams": [ "TRUCK", "UAV" ], "relevance_signals": [ "UAV" ], "auto_exclude_reason": null, "screening_status": "pending_human_screening", "screened_by": "auto-v1.0.0" }, { "id": "doi:10.1007/s11590-023-02056-y", "doi": "10.1007/s11590-023-02056-y", "title": "The truck–drone routing optimization problem: mathematical model and a VNS approach", "year": 2023, "authors": [ "Malick Ndiaye", "Ahmed H. Osman", "Saı̈d Salhi", "Batool Madani" ], "first_author": "Malick Ndiaye", "venue": "Optimization Letters", "volume": "18", "pages": "1023-1052", "type": "article", "language": "en", "abstract": null, "keywords": [ "Drone", "Truck", "Metaheuristic", "Computer science", "Variable neighborhood search", "Robustness (evolution)", "Vehicle routing problem", "Mathematical optimization", "Computational intelligence", "Linear programming", "Operations research", "Routing (electronic design automation)" ], "cited_by_openalex": 10, "cited_by_scopus": "7", "eid": "2-s2.0-85173680217", "pii": null, "open_access_url": "https://doi.org/10.1007/s11590-023-02056-y", "sources": [ { "db": "openalex", "stream": "TRUCK", "query_id": "TRUCK-1" }, { "db": "openalex", "stream": "UAV", "query_id": "UAV-1" }, { "db": "scopus", "stream": "TRUCK", "query_id": "TRUCK-1" }, { "db": "scopus", "stream": "TRUCK", "query_id": "TRUCK-3" }, { "db": "scopus", "stream": "UAV", "query_id": "UAV-1" } ], "streams": [ "TRUCK", "UAV" ], "relevance_signals": [ "UAV_NO_CTX", "TRUCK_NO_CTX" ], "auto_exclude_reason": "EC-4-topic", "screening_status": "auto_excluded", "screened_by": "auto-v1.0.0" }, { "id": "doi:10.3390/en16104076", "doi": "10.3390/en16104076", "title": "Simulation Model for Operational Planning of City Cargo Transportation by Trams in Conditions of Stochastic Demand", "year": 2023, "authors": [ "Agnieszka Merkisz-Guranowska", "Natalya Shramenko", "Marcin Kiciński", "Vladyslav Shramenko" ], "first_author": "Agnieszka Merkisz-Guranowska", "venue": "Energies", "volume": null, "pages": null, "type": "article", "language": "en", "abstract": "A city’s transport and distribution system requires the effective organization of urban freight deliveries that take into consideration the economic, ecological, and social impact. Implementation of the concept of green logistics necessitates the use of environmentally friendly and energy-efficient modes of transport, which consider the existing infrastructure and the possibility of its development. The aim of this work was to facilitate the transfer to rail transport, using the existing tramway infrastructure, those shipments which previously entered the city center by road. The paper proposes a simulation model for small consignments delivered by freight trams in the city of Poznań, Poland. Operational planning is carried out in conditions of uncertainty and risk. The uncertainty is due to the stochastic nature of the demand for products. The risk is characterized by the probability that, due to technological and technical limitations, a given customer will not be fully served from the distribution center. The authors provide a decision support tool for evaluating the possible locations of tram depots and for route planning. The assignment of the routes, with the criterion of minimizing the costs for the carrier, and with a limitation on tram operating time, is based on the use of genetic algorithms, which makes it possible to obtain a solution that is close to optimal, within a reasonable time period. As a result of a series of simulation experiments and statistical data processing, the distribution laws and expected average values of the technological parameters were determined for the functioning of the city transport and distribution system under conditions of uncertainty and risk.", "keywords": [ "Transport engineering", "Distribution (mathematics)", "Operations research", "Work (physics)", "Computer science", "Distribution center", "Probability distribution", "Business", "Engineering" ], "cited_by_openalex": 7, "cited_by_scopus": 0, "eid": null, "pii": null, "open_access_url": "https://www.mdpi.com/1996-1073/16/10/4076/pdf?version=1683969742", "sources": [ { "db": "openalex", "stream": "TRUCK", "query_id": "TRUCK-2" } ], "streams": [ "TRUCK" ], "relevance_signals": [ "NO_TECHNOLOGY_MATCH" ], "auto_exclude_reason": "EC-4-topic", "screening_status": "auto_excluded", "screened_by": "auto-v1.0.0" }, { "id": "doi:10.1109/itec55900.2023.10187064", "doi": "10.1109/itec55900.2023.10187064", "title": "Home-Base Charging Load Profiles of Battery Electric Trucks Considering Tour Completion and Time-of-Use Rates", "year": 2023, "authors": [ "Jacqueline Garrido", "Emmanuel Hidalgo", "Matthew Barth", "Kanok Boriboonsomsin" ], "first_author": "Jacqueline Garrido", "venue": "2023 IEEE Transportation Electrification Conference and Expo Itec 2023", "volume": null, "pages": null, "type": "conference-paper", "language": "en", "abstract": "With California targeting all drayage trucks operating in the state to be zero-emitting by 2035, it is critical to model the quantities, locations, and load curves of medium-duty (MD) and heavy-duty (HD) electric vehicle (EV) chargers. This paper generates home-base charging load profiles using real-world activity data for a drayage truck fleet operating in Southern California. As a likely scenario, trucks with a battery capacity of 565 kWh were modeled charging at their home-base (i.e., fleet depot) at two power levels. We then consider constraints of energy needed to complete the next subsequent tour and Time-of-Use (TOU) energy rates. An uncontrolled baseline charging scenario was also modeled for comparison. Results suggest that a decrease of about 21% in energy charging cost can be achieved when comparing the baseline vs. constrained scenarios using a 50 k W power level. A similar decrease in cost was found when modeling a power level of 150 k W. In addition, the percentage of tours completed increased approximately by 10-12%, just by adjusting the charging power level. Finally, the proposed constrained scenarios decreased the number of required chargers by 2–3 on average when compared to their baseline cases.", "keywords": [ "Truck", "Battery (electricity)", "Baseline (sea)", "Automotive engineering", "Power (physics)", "Environmental science", "State of charge", "Battery capacity", "Lead–acid battery", "Heavy duty", "Energy (signal processing)", "Simulation" ], "cited_by_openalex": 6, "cited_by_scopus": "7", "eid": "2-s2.0-85168249251", "pii": null, "open_access_url": "http://dx.doi.org/10.1109/itec55900.2023.10187064", "sources": [ { "db": "openalex", "stream": "TRUCK", "query_id": "TRUCK-3" }, { "db": "scopus", "stream": "TRUCK", "query_id": "TRUCK-3" } ], "streams": [ "TRUCK" ], "relevance_signals": [ "TRUCK_NO_CTX" ], "auto_exclude_reason": "EC-4-topic", "screening_status": "auto_excluded", "screened_by": "auto-v1.0.0" }, { "id": "doi:10.5267/j.msl.2023.6.004", "doi": "10.5267/j.msl.2023.6.004", "title": "K-means clustering for optimization of spare parts delivery", "year": 2023, "authors": [ "Kaushik D Ramgude", "Neela Rajhans" ], "first_author": "Kaushik D Ramgude", "venue": "Management Science Letters", "volume": null, "pages": null, "type": "article", "language": "en", "abstract": "Transhipment is an important logistics strategy that helps to improve supply chain efficiency and reduce transportation costs. It enables cargo to be transported to multiple destinations using different modes of transportation, such as ships, trains, trucks, and planes. This can help to reduce the overall transportation time and cost, as well as improve inventory management and distribution. In addition to its use in logistics and transportation, transhipment can also be used in other industries such as manufacturing, where it can be used to transfer raw materials or finished products between different facilities or production lines. This research paper examines the role of transhipment in improving the efficiency of spare part delivery systems to the PMPML depots from central workshop Swargate. PMPML has 12 depots in total (including central workshop). In many industries, the supply chain for spare parts is complex, with multiple suppliers, warehouses, and service centres involved. Transhipment, or the transfer of inventory between locations, can help to reduce lead times and improve inventory availability. In this paper, we analyze the impact of transhipment on key performance metrics such as order fulfilment, inventory turnover, and transportation costs. We also discuss the challenges associated with implementing transhipment in spare part delivery systems, including coordination between different parties, data sharing, and system integration.", "keywords": [ "Spare part", "Supply chain", "Truck", "Computer science", "Business", "Inventory theory", "Service (business)", "Order (exchange)", "Delivery Performance", "Transport engineering", "Operations research", "Operations management" ], "cited_by_openalex": 7, "cited_by_scopus": 0, "eid": null, "pii": null, "open_access_url": "https://doi.org/10.5267/j.msl.2023.6.004", "sources": [ { "db": "openalex", "stream": "TRUCK", "query_id": "TRUCK-3" } ], "streams": [ "TRUCK" ], "relevance_signals": [ "TRUCK_NO_CTX" ], "auto_exclude_reason": "EC-4-topic", "screening_status": "auto_excluded", "screened_by": "auto-v1.0.0" }, { "id": "doi:10.1109/ice/itmc58018.2023.10332420", "doi": "10.1109/ice/itmc58018.2023.10332420", "title": "Drone Delivery Systems for Logistics Operations: Identification of Regulatory Challenges", "year": 2023, "authors": [ "Batool Madani", "Malick Ndiaye" ], "first_author": "Batool Madani", "venue": "Proceedings of the 29th International Conference on Engineering Technology and Innovation Shaping the Future ICE 2023", "volume": null, "pages": null, "type": "conference-paper", "language": "en", "abstract": "With the continued expansion of e-commerce, the logistical obligation to address last-mile delivery challenges has grown substantially. Innovative solutions such as drones are being integrated into delivery networks to improve delivery operations. The deployment of drones has given new opportunities to design improved logistics systems in terms of low delivery cost and customer satisfaction. While logistics companies are primarily motivated to minimize last-mile costs, regulatory authorities should pursue efficient last-mile processes in order to accomplish broader goals and ensure sustainability. In other words, regulatory authorities must develop, implement, and enforce legislation for drone operations more promptly as drone technologies drive new business and service models. However, current regulatory frameworks do not yet consider the use of drones in delivery systems. Therefore, the purpose of this study is to identify the critical challenges of adopting drones in delivery operations, followed by proposing the main pillars of a drone regulatory framework. These pillars serve as the foundation for the establishment of comprehensive regulatory frameworks, which will be based on the integration of industry and regulatory authorities’ standpoints.", "keywords": [ "Drone", "Last mile (transportation)", "Business", "Software deployment", "Legislation", "Identification (biology)", "Risk analysis (engineering)", "Sustainability", "Process management", "Best practice", "Obligation", "Computer science" ], "cited_by_openalex": 6, "cited_by_scopus": "7", "eid": "2-s2.0-85181142208", "pii": null, "open_access_url": "https://doi.org/10.1109/ice/itmc58018.2023.10332420", "sources": [ { "db": "openalex", "stream": "UAV", "query_id": "UAV-1" }, { "db": "scopus", "stream": "UAV", "query_id": "UAV-1" } ], "streams": [ "UAV" ], "relevance_signals": [ "UAV" ], "auto_exclude_reason": null, "screening_status": "pending_human_screening", "screened_by": "auto-v1.0.0" }, { "id": "doi:10.20944/preprints202306.0982.v1", "doi": "10.20944/preprints202306.0982.v1", "title": "Exploring the Viability of Last-Mile Delivery Solutions for Sustainable Supply Chains", "year": 2023, "authors": [ "Paraschos Maniatis" ], "first_author": "Paraschos Maniatis", "venue": "Preprints.org", "volume": null, "pages": null, "type": "preprint", "language": "en", "abstract": "Sustainable supply chains have become increasingly crucial to address environmental and social challenges faced by societies worldwide. Last-mile delivery, which involves delivering products from a distribution center or warehouse to the final destination, typically a consumer's doorstep, is an essential component of the supply chain. However, it faces numerous challenges such as traffic congestion, air and noise pollution, and carbon emissions. This research paper explores the viability of last-mile delivery solutions for sustainable supply chains. The study reviews the literature on last-mile delivery challenges, sustainable last-mile delivery solutions, and case studies of sustainable last-mile delivery solutions. The results indicate that innovative last-mile delivery solutions, such as electric vehicles, cargo bikes, and drones, have the potential to reduce environmental impact and improve the efficiency of last-mile delivery while enhancing social equity. Additionally, partnerships between different stakeholders, including governments, logistics companies, and consumers, can contribute to the development of sustainable last-mile delivery solutions. The study concludes that sustainable last-mile delivery solutions are essential to achieving sustainable supply chains and recommends further research to explore the economic feasibility and scalability of these solutions.", "keywords": [ "Last mile (transportation)", "Business", "Mile", "Supply chain", "Environmental economics", "Sustainability", "Sustainable development", "Marketing", "Economics", "Geography" ], "cited_by_openalex": 7, "cited_by_scopus": 0, "eid": null, "pii": null, "open_access_url": "https://www.preprints.org/manuscript/202306.0982/v1/download", "sources": [ { "db": "openalex", "stream": "UAV", "query_id": "UAV-1" } ], "streams": [ "UAV" ], "relevance_signals": [ "UAV" ], "auto_exclude_reason": null, "screening_status": "pending_human_screening", "screened_by": "auto-v1.0.0" }, { "id": "doi:10.3390/app13095441", "doi": "10.3390/app13095441", "title": "Multi-Location Assortment Optimization with Drone and Human Courier Joint Delivery", "year": 2023, "authors": [ "Mengting Wu", "Zhi Pei" ], "first_author": "Mengting Wu", "venue": "Applied Sciences", "volume": "13", "pages": null, "type": "article", "language": "en", "abstract": "This paper studies the constrained multi-location assortment optimization problem under joint delivery by drone and human courier. To maximize the revenue of the retailer, product assortment and last-mile delivery methods are configured simultaneously. To handle the joint delivery problem with product assortment, a mixed multinomial logit model is established to depict the customer purchase behavior. We also take into account the load capacity of drones and the delivery distance limit of drones and human couriers. To the best of our knowledge, the present paper is the first to study the assortment optimization problem considering joint delivery by drone and human courier. The problem is first formulated as a mixed-integer linear programming (MILP) model, which is then transformed into a conic quadratic mixed-integer model with McCormick inequalities (Conic + MC). In the numerical study, it is demonstrated that Conic + MC outperforms MILP as Conic + MC finds the optimal solution within 300 s, while MILP needs more than 600 s. Furthermore, several management insights are revealed for retailers regarding assortment planning when facing different kinds of product revenue structures, and advice is provided for online ordering platforms in terms of setting delivery limits.", "keywords": [ "Mathematical optimization", "Computer science", "Drone", "Integer programming", "Operations research", "Product (mathematics)", "Mathematics" ], "cited_by_openalex": 5, "cited_by_scopus": "7", "eid": "2-s2.0-85159291157", "pii": null, "open_access_url": "https://www.mdpi.com/2076-3417/13/9/5441/pdf?version=1682586328", "sources": [ { "db": "openalex", "stream": "UAV", "query_id": "UAV-1" }, { "db": "scopus", "stream": "UAV", "query_id": "UAV-1" } ], "streams": [ "UAV" ], "relevance_signals": [ "UAV" ], "auto_exclude_reason": null, "screening_status": "pending_human_screening", "screened_by": "auto-v1.0.0" }, { "id": "doi:10.1007/978-3-031-30855-0_14", "doi": "10.1007/978-3-031-30855-0_14", "title": "Vehicle Routing Problem for an Integrated Electric Vehicles and Drones System", "year": 2023, "authors": [ "Setyo Tri Windras Mara", "Saber Mohammed Elsayed", "Daryl Essam", "Ruhul Amin Sarker" ], "first_author": "Setyo Tri Windras Mara", "venue": "Lecture notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering", "volume": "486 LNICST", "pages": "197-214", "type": "conference-paper", "language": "en", "abstract": null, "keywords": [ "Drone", "Vehicle routing problem", "Routing (electronic design automation)", "Set (abstract data type)", "Computer science", "Electric vehicle", "Operations research", "Mathematical optimization", "Engineering", "Computer network", "Mathematics" ], "cited_by_openalex": 4, "cited_by_scopus": "7", "eid": "2-s2.0-85161597585", "pii": null, "open_access_url": "https://doi.org/10.1007/978-3-031-30855-0_14", "sources": [ { "db": "openalex", "stream": "UAV", "query_id": "UAV-1" }, { "db": "openalex", "stream": "UAV", "query_id": "UAV-2" }, { "db": "scopus", "stream": "UAV", "query_id": "UAV-1" }, { "db": "scopus", "stream": "UAV", "query_id": "UAV-2" } ], "streams": [ "UAV" ], "relevance_signals": [ "UAV_NO_CTX" ], "auto_exclude_reason": "EC-4-topic", "screening_status": "auto_excluded", "screened_by": "auto-v1.0.0" }, { "id": "doi:10.1109/blackseacom58138.2023.10299738", "doi": "10.1109/blackseacom58138.2023.10299738", "title": "Low Complexity Online RL Enabled UAV Trajectory Planning Considering Connectivity and Obstacle Avoidance Constraints", "year": 2023, "authors": [ "Mohammed M. H. Qazzaz", "Syed A. Zaidi", "Des McLernon", "Abdelaziz Salama", "Aubida A. Al‐Hameed" ], "first_author": "Mohammed M. H. Qazzaz", "venue": "2023 IEEE International Black Sea Conference on Communications and Networking Blackseacom 2023", "volume": null, "pages": "82-89", "type": "conference-paper", "language": "en", "abstract": "In recent years, we have witnessed a significant proliferation of UAV s to service variety of verticals, including last-mile delivery, medical assistance, crop monitoring etc. The true utility of these UAV s lies in beyond-line-of-sight (BLoS) operations which require wide-area connectivity. The increased densification of the cellular networks under 5G networks is ideally suited for this purpose. However, traditional cellular networks are not optimised for servicing aerial clients. In this paper, we propose a novel approach to improve connectivity for delivery UAV s with the ground base stations using low complexity online reinforcement learning (RL) and multiple Q-learning algorithms. We demonstrate that by training multiple Q-learning models, we can accurately predict optimal trajectory for UAV s flight. The optimality is in the sense of its shortest flight path while ensuring continuity in connectivity with the ground base station. Our modeling explicitly incorporates dynamic changes in the environment which may not be observed during the previous missions by UAV. We implement our proposed methodology using OpenAI Gym and demonstrate that the proposed approach allows perpetual connectivity for UAV s while generating obstacle-free flight trajectories.", "keywords": [ "Computer science", "Obstacle avoidance", "Reinforcement learning", "Obstacle", "Trajectory", "Real-time computing", "Motion planning", "Base station", "Path (computing)", "Distributed computing", "Artificial intelligence", "Computer network" ], "cited_by_openalex": 5, "cited_by_scopus": "7", "eid": "2-s2.0-85178995961", "pii": null, "open_access_url": "http://dx.doi.org/10.1109/blackseacom58138.2023.10299738", "sources": [ { "db": "openalex", "stream": "UAV", "query_id": "UAV-1" }, { "db": "scopus", "stream": "UAV", "query_id": "UAV-1" } ], "streams": [ "UAV" ], "relevance_signals": [ "UAV" ], "auto_exclude_reason": null, "screening_status": "pending_human_screening", "screened_by": "auto-v1.0.0" }, { "id": "doi:10.1007/978-3-030-97940-9_126", "doi": "10.1007/978-3-030-97940-9_126", "title": "Energy-Smart Transportation Systems", "year": 2023, "authors": [ "Saba Sabet", "Bilal Farooq" ], "first_author": "Saba Sabet", "venue": "Handbook of Smart Energy Systems Volume 1 4", "volume": "1-4", "pages": "2003-2023", "type": "book-chapter", "language": "en", "abstract": null, "keywords": [ "Electrification", "Transport engineering", "Sustainable transport", "Greenhouse gas", "Environmental economics", "Engineering", "Business", "Sustainability", "Electricity", "Economics" ], "cited_by_openalex": 6, "cited_by_scopus": "7", "eid": "2-s2.0-85171246835", "pii": null, "open_access_url": "https://doi.org/10.1007/978-3-030-97940-9_126", "sources": [ { "db": "openalex", "stream": "UAV", "query_id": "UAV-1" }, { "db": "openalex", "stream": "UAV", "query_id": "UAV-2" }, { "db": "scopus", "stream": "UAV", "query_id": "UAV-1" }, { "db": "scopus", "stream": "UAV", "query_id": "UAV-2" } ], "streams": [ "UAV" ], "relevance_signals": [ "NO_TECHNOLOGY_MATCH" ], "auto_exclude_reason": "EC-4-topic", "screening_status": "auto_excluded", "screened_by": "auto-v1.0.0" }, { "id": "doi:10.1109/icnsc58704.2023.10319036", "doi": "10.1109/icnsc58704.2023.10319036", "title": "A new formulation for the multi-period vessel-drone routing problem", "year": 2023, "authors": [ "Lianhua Tang", "Yantong Li" ], "first_author": "Lianhua Tang", "venue": "Icnsc 2023 20th IEEE International Conference on Networking Sensing and Control", "volume": null, "pages": null, "type": "conference-paper", "language": "en", "abstract": "To address the limitations of conventional offshore oil-and-gas field inspections, such as high cost, low frequency, and high risk, a new method called vessel-drone collaborative inspection is proposed. This approach involves a drone-carrying vessel departing from the port and sailing to a designated distance from the oil-and-gas field. The drones are then released to conduct field inspections. Once the drones complete their tasks, the vessel retrieves them at a specific location. This paper focuses on addressing the multi-period \"vessel-drone\" collaborative inspection route planning problem. The objective is to minimize the fixed cost of the vessel over the planning horizon while considering the overall path cost of both the vessel and the drone. The planning model takes into account various factors, including the coordination of space and time between the vessel and drone, drone endurance limitations, and the inspection cycle limitations for each period. To solve the problem, a mixed-integer second-order cone optimization formulation is proposed, along with several valid inequalities. Through empirical research and sensitivity analyses, the effectiveness of the proposed method is demonstrated. It is shown that the method can provide a cost-effective plan for oilfield inspections, offering potential value in guiding offshore oil-and-gas field inspection operations.", "keywords": [ "Drone", "Time horizon", "Field (mathematics)", "Computer science", "Offshore oil and gas", "Routing (electronic design automation)", "Port (circuit theory)", "Operations research", "Motion planning", "Submarine pipeline", "Marine engineering", "Engineering" ], "cited_by_openalex": 1, "cited_by_scopus": "7", "eid": "2-s2.0-85179626879", "pii": null, "open_access_url": "https://doi.org/10.1109/icnsc58704.2023.10319036", "sources": [ { "db": "openalex", "stream": "UAV", "query_id": "UAV-2" }, { "db": "scopus", "stream": "UAV", "query_id": "UAV-2" } ], "streams": [ "UAV" ], "relevance_signals": [ "UAV_NO_CTX" ], "auto_exclude_reason": "EC-4-topic", "screening_status": "auto_excluded", "screened_by": "auto-v1.0.0" }, { "id": "doi:10.2514/1.i011171", "doi": "10.2514/1.i011171", "title": "Edge-Enhanced Attentions for Drone Delivery in Presence of Winds and Recharging Stations", "year": 2023, "authors": [ "Ruifan Liu", "Hyo‐Sang Shin", "Antonios Tsourdos" ], "first_author": "Ruifan Liu", "venue": "Journal of Aerospace Information Systems", "volume": "20", "pages": "216-228", "type": "article", "language": "en", "abstract": "Existing variants of vehicle routing problems have limited capabilities in describing real-world drone delivery scenarios in terms of drone physical restrictions, mission constraints, and stochastic operating environments. To that end, this paper proposes a specific drone delivery problem with recharging (DDP-R) characterized by directional edges and stochastic edge costs subject to wind conditions. To address it, the DDP-R is cast into a Markov decision process over a graph, with the next node chosen according to a stochastic policy based on the evolving observation. An edge-enhanced attention model (AM-E) is then suggested to map the optimal policy via the deep reinforcement learning (DRL) approach. The AM-E comprises a succession of edge-enhanced dot-product attention layers and is designed with the aim of capturing the heterogeneous node relationship for DDP-Rs by incorporating adjacent edge information. Simulations show that edge enhancement facilitates the training process, achieving superior performance with less trainable parameters and simpler architecture in comparison with other deep learning models. Furthermore, a stochastic drone energy cost model in consideration of winds is incorporated into validation simulations, which provides a practical insight into drone delivery problems. In terms of both nonwind and windy cases, extensive simulations demonstrate that the proposed DRL method outperforms state-of-the-art heuristics for solving DDP-Rs, especially at large sizes.", "keywords": [ "Drone", "Heuristics", "Markov decision process", "Computer science", "Reinforcement learning", "Enhanced Data Rates for GSM Evolution", "Markov process", "Edge computing", "Node (physics)", "Mathematical optimization", "Simulation", "Real-time computing" ], "cited_by_openalex": 4, "cited_by_scopus": "7", "eid": "2-s2.0-85154019764", "pii": null, "open_access_url": "https://arc.aiaa.org/doi/pdf/10.2514/1.I011171?download=true", "sources": [ { "db": "openalex", "stream": "UAV", "query_id": "UAV-2" }, { "db": "scopus", "stream": "UAV", "query_id": "UAV-2" } ], "streams": [ "UAV" ], "relevance_signals": [ "UAV_NO_CTX" ], "auto_exclude_reason": "EC-4-topic", "screening_status": "auto_excluded", "screened_by": "auto-v1.0.0" }, { "id": "doi:10.1109/icnsc58704.2023.10318991", "doi": "10.1109/icnsc58704.2023.10318991", "title": "Vessel-UAV Collaborative Routing Problem for Offshore Oil and Gas Fields Inspection", "year": 2023, "authors": [ "Yantong Li", "Xingqi Wang", "Shuai Zhang", "Shanshan Zhou" ], "first_author": "Yantong Li", "venue": "Icnsc 2023 20th IEEE International Conference on Networking Sensing and Control", "volume": null, "pages": null, "type": "conference-paper", "language": "en", "abstract": "This paper proposes a new mode of vessel-UAV collaborative inspection to address the challenges of high cost, low frequency, and high risk in the traditional offshore oilfield inspection. In the studied problem, a patrol vessel with a UAV departs from the port, sails to a specific location, releases the UAV for oilfield inspection, and retrieves the UAV at another location after the inspection. Considering the spatio-temporal cooperation between ships and UAVs and the variation of endurance capability of UAVs, the collaborative inspection routing problem of \"single vessel and UAV take off to visit multiple target points\" is studied, with a target of minimizing the total variable cost of the vessel and UAV and the sailing time of the vessel. A mixed integer second-order cone programming model based on the time period and the moment of time was established, respectively, to calculate the objective function value of the inspection routing cost. The commercial solver CPLEX is used to solve the proposed models. Numerical experiments based on actual and randomly generated cases are conducted to verify the efficiency of the model. In addition, sensitivity analysis is performed in our paper, including UAV endurance and speed, which can inspire managers for scheduling optimization in practice.", "keywords": [ "Offshore oil and gas", "Submarine pipeline", "Routing (electronic design automation)", "Marine engineering", "Petroleum engineering", "Fossil fuel", "Computer science", "Environmental science", "Geology", "Oceanography", "Engineering", "Computer network" ], "cited_by_openalex": 3, "cited_by_scopus": "7", "eid": "2-s2.0-85179619240", "pii": null, "open_access_url": "https://doi.org/10.1109/icnsc58704.2023.10318991", "sources": [ { "db": "openalex", "stream": "UAV", "query_id": "UAV-2" }, { "db": "scopus", "stream": "UAV", "query_id": "UAV-2" } ], "streams": [ "UAV" ], "relevance_signals": [ "UAV_NO_CTX" ], "auto_exclude_reason": "EC-4-topic", "screening_status": "auto_excluded", "screened_by": "auto-v1.0.0" }, { "id": "doi:10.5281/zenodo.7744436", "doi": "10.5281/zenodo.7744436", "title": "International Research in Engineering Sciences", "year": 2023, "authors": [ "Doç. Dr. Alper Bideci" ], "first_author": "Doç. Dr. Alper Bideci", "venue": "Zenodo (CERN European Organization for Nuclear Research)", "volume": null, "pages": null, "type": "book", "language": "en", "abstract": "CONTENTS CHAPTER 1 .................................................................................................................. 7 Equivalent Circuit Models of Battery Technologies as Electrochemical Energy Storage Methods: A Review Study on, Electrical Equivalent Circuit Models of Li-Ion Batteries Dr. Taner ÇARKIT CHAPTER 2 ............................................................................................................... 37 Heuristic Intelligence Approach to Routing Planning of Uavs Networks Asst. Prof. Dr. Sercan YALÇIN CHAPTER 3 ............................................................................................................... 51 Monitoring Water Surfaces By Remote Sensing: The Case of Manyas Kusgolu, Ulubat, And Iznik Lakes in Türkiye Dr. Osman Salih YILMAZ CHAPTER 4 ............................................................................................................... 67 Heterogeneous Fleet Vehicle Routing Problems and the Metaheuristic Approaches Asst. Prof. Melis ALPASLAN TAKAN CHAPTER 5 ............................................................................................................... 85 Approaches With Artificial Intelligence (Ai) Algorithms to Smart System Works Lecturer Ali ÇETİNKAYA CHAPTER 6 ............................................................................................................. 103 Recovery Applications of Waste Foundry Sand Asst. Prof. Merve SOGANCİOGLU KALEM CHAPTER 7 ............................................................................................................. 119 A Comprehensive Outlook On the Influences of Heat Treatment On the Mechanical, Friction, and Wear Properties of the Additively Manufactured Plastics Assist. Prof. Dr. ÇAĞIN BOLAT ISBN: 978-625-6971-50-9 4 CHAPTER 8 ............................................................................................................. 143 Experimental Study on Biocompatibility Properties of Photo-Resin 3d Printer Materials Dr. Bünyamin ÇİÇEK CHAPTER 9 ............................................................................................................. 155 The Spectrum Sensing Techniques and Methods Fikriye ATAMAN CHAPTER 10 .......................................................................................................... 195 Investigation of Physicochemical Parameters Affecting the Crosslinking of Epdm Rubber Chemist Şule ÇİÇEK Prof. Ali KARA, Ph.D CHAPTER 11 .......................................................................................................... 213 Investigation of Intumescent Flame Retardant Coatings On Structural Steels Dr. Zafer KAHRAMAN CHAPTER 12 .......................................................................................................... 231 Modelling and Analysis of Wall Brackets Part Obtained Via Material Extrusion Technique Research Assistant Faik YILAN Research Assistant İbrahim Baki ŞAHİN Assoc. Prof Levent URTEKİN CHAPTER 13 .......................................................................................................... 241 Treatment of Bio-Medical Waste Dr. Aysun ALTIKAT CHAPTER 14 .......................................................................................................... 259 Performance Improvement With Optimization of Machine Learning Methods For Sleep Stage Classification From Eeg Signals Dr. Erdem TUNCER Prof.Dr. Emine Doğru BOLAT International Research in Engineering Sciences 5 CHAPTER 15 .......................................................................................................... 289 Df Based Cooperative Uavs Communication With Co-Channel Interference Asst. Prof. Dr. Muhammet Ali KARABULUT Asst. Prof. Dr. A. F. M. Shahen SHAH CHAPTER 16 .......................................................................................................... 305 Detection and Identification of Microstructural Features in Microtomography Data of Single Foam Struts Using A Convolutional Neural Network Ali Can KAYA Elif SALİHOĞLU CHAPTER 17 .......................................................................................................... 329 Good Laboratory Practices: Differences According To New Version of Iso/Iec 17025, Applications and Regulations in Food Analysis Gülen YEŞİLÖREN AKAL CHAPTER 18 .......................................................................................................... 357 Anomaly Detection Using Labview-Based Machine Learning Algorithms Dr. Mahmut DİRİK CHAPTER 19 .......................................................................................................... 377 Eia Framework in Turkey and A Critical Review of Eia Decisions For the Construction Sector Prof. Güray SALIHOĞLU, Ph.D Mohamed Amin OUFQUIR CHAPTER 20 .......................................................................................................... 409 An Overview Of Pyruvate Biosensors Prof. Şeyda KORKUT URU Assoc. Prof. Dr. M. Samet KILIÇ İlayda DİKKULAK ISBN: 978-625-6971-50-9 6 CHAPTER 21 .......................................................................................................... 429 Modeling of Air Pollution Dr. Mine Tulin ZATEROGLU CHAPTER 22 .......................................................................................................... 441 Porous Geopolymer Adsorbents For Removal Of Heavy Metals and Dyes: A Recent Overview Asst. Prof. Dr. İlker ACAR CHAPTER 23 ..................................................... Hata! Yer işareti tanımlanmamış. Fire Performance Evaluation of A Residential Building: Structural Analaysis And Response Dr. Burak Kaan ÇIRPICI Mr. Abdulsamet AKTURK CHAPTER 24 ..................................................... Hata! Yer işareti tanımlanmamış. Boron Nitride Nanotubes, Their Synthesis Methods and Biological Applications İrem ULUIŞIK YILMAZ, PhD. Atike İNCE YARDIMCI, PhD. CHAPTER 25 .............................................................................................", "keywords": [ "Engineering ethics", "Engineering" ], "cited_by_openalex": 7, "cited_by_scopus": 0, "eid": null, "pii": null, "open_access_url": "https://zenodo.org/record/7744436", "sources": [ { "db": "openalex", "stream": "UAV", "query_id": "UAV-2" } ], "streams": [ "UAV" ], "relevance_signals": [ "UAV_NO_CTX" ], "auto_exclude_reason": "EC-4-topic", "screening_status": "auto_excluded", "screened_by": "auto-v1.0.0" }, { "id": "doi:10.1109/icite59717.2023.10733892", "doi": "10.1109/icite59717.2023.10733892", "title": "Vertiport Design of Urban Air Mobility for eVTOL Aircraft", "year": 2023, "authors": [ "Zhiguo Xiong", "Xiaobo Xiao", "Yilian Cao", "Quanshan Chen" ], "first_author": "Zhiguo Xiong", "venue": "2023 IEEE 8th International Conference on Intelligent Transportation Engineering Icite 2023", "volume": null, "pages": "303-308", "type": "conference-paper", "language": "en", "abstract": "The success of urban air mobility (UAM) heavily depends on the presence of vertiports, which are essential infrastructure. The design of vertiports undergoes a continuous optimization process based on the relevant design specifications of civil aviation authorities. This article proposes appropriate design suggestions for the vertiport design of electric vertical takeoff and landing (eVTOL) aircraft operating in UAM, whether manned or unmanned. The article summarizes the general process of vertiport design, analyzes factors influencing vertiport design, and proposes principles for vertiport design. It also analyzes vertiport facilities' design from four aspects: airside facilities, clearance zone, flight support facilities, and landside service facilities. The article aims to provide new concepts for designing UAM vertiports operating eVTOL aircraft in the future based on existing FAA and EASA specifications.", "keywords": [ "Computer science", "Aeronautics", "Aerospace engineering", "Environmental science", "Transport engineering", "Automotive engineering", "Engineering" ], "cited_by_openalex": 3, "cited_by_scopus": "7", "eid": "2-s2.0-85210563600", "pii": null, "open_access_url": "https://doi.org/10.1109/icite59717.2023.10733892", "sources": [ { "db": "openalex", "stream": "UAV", "query_id": "UAV-3" }, { "db": "scopus", "stream": "UAV", "query_id": "UAV-3" } ], "streams": [ "UAV" ], "relevance_signals": [ "UAV_NO_CTX" ], "auto_exclude_reason": "EC-4-topic", "screening_status": "auto_excluded", "screened_by": "auto-v1.0.0" }, { "id": "doi:10.1049/itr2.12395", "doi": "10.1049/itr2.12395", "title": "TLOF final approach methodology proposal utilizing dual landing pads", "year": 2023, "authors": [ "Lei Yu", "Rui Qin", "Quan Li", "Daliang Chen" ], "first_author": "Lei Yu", "venue": "IET Intelligent Transport Systems", "volume": "17", "pages": "2052-2062", "type": "article", "language": "en", "abstract": "Abstract Vertiports in economically developed areas present the operation mode of multiple Touchdown and Liftoff Area (TLOF) pads, and the intersection and overlap of the final approach airspace between two adjacent TOLF pads in the vertiports is the basic problem confronted by multiple TLOF pads. The objective of this study is to design the final approach airspace structure of dual landing pads, so as to provide reference for the future design of the airspace structure of multiple landing pads. In this paper, the design scheme of the final approach airspace of dual TLOF pads is proposed, and it includes three different kinds of airspace structure with different proximity of dual TLOF pads and the final approach path design for each kind based on the multi‐branch approach strategy. Considering the constraints of the multi‐branch approach strategy and safe operation, the airspace design model is constructed to minimize the airspace volume and to develop algorithms that can realize the airspace design with different capacities and different proximity of dual TLOF pads. The results reveal the changing trend of airspace volume under different design capacities and different proximity of dual TLOF pads. It provides reference for the site selection of vertiports with dual TLOF pads, and lays a foundation for the design of the final approach airspace for vertiport with multiple TLOF pads.", "keywords": [ "Touchdown", "Intersection (aeronautics)", "Dual (grammatical number)", "Volume (thermodynamics)", "Engineering", "Computer science", "Simulation", "Aerospace engineering" ], "cited_by_openalex": 6, "cited_by_scopus": "7", "eid": "2-s2.0-85170693961", "pii": null, "open_access_url": "https://doi.org/10.1049/itr2.12395", "sources": [ { "db": "openalex", "stream": "UAV", "query_id": "UAV-3" }, { "db": "scopus", "stream": "UAV", "query_id": "UAV-3" } ], "streams": [ "UAV" ], "relevance_signals": [ "UAV_NO_CTX" ], "auto_exclude_reason": "EC-4-topic", "screening_status": "auto_excluded", "screened_by": "auto-v1.0.0" }, { "id": "doi:10.1109/dasc58513.2023.10311204", "doi": "10.1109/dasc58513.2023.10311204", "title": "Airspace Performance Observations of Scalable Autonomous Operations in a High Density Vertiplex Simulation", "year": 2023, "authors": [ "Gita Hodell", "Madison T. Goodyear", "Faisal G. Omar", "Ashley N. Gomez", "Abhinay I. Tiwari", "Jeffrey R. Homola" ], "first_author": "Gita Hodell", "venue": "AIAA IEEE Digital Avionics Systems Conference Proceedings", "volume": null, "pages": null, "type": "conference-paper", "language": "en", "abstract": "The National Aeronautics and Space Administration’s (NASA’s) High Density Vertiplex (HDV) sub-project aims to develop and demonstrate progressive automation technologies that contribute to the Advanced Air Mobility (AAM) concept. Using Human-and-Hardware-In-The-Loop (HHITL) techniques, HDV demonstrates initial vertiport automation services at vertiports with increased air traffic volume in both simulated and live test environments. In 2023, the Scalable Autonomous Operations (SAO) simulation was conducted in which prototype vertiport, airspace, and ground control station technologies were assessed on technical performance. During the SAO simulation, an observational study captured an initial impression of the HDV airspace performance, potential disruptions to the airspace, and highlighted some capability and procedural gaps. Observations took place in two parts. In the first part, five scenario use cases (Nominal, Missed Approach, Speed Change, Divert, and Multi-Aircraft Divert) were conducted with three human operator roles (Vertiport Manager, Fleet Manager, and Ground Control Station Operator). Researchers collected metrics on throughput, closest point of approach, and airborne delay. In the second part of the study, the Missed Approach scenario was observed under three traffic density levels (20, 40, and 60 operations per hour) to challenge the automation to correctly identify slots in the vertiport arrival schedule. The results showed that the automation successfully found a slot for the Missed Approach vehicle in the 20 operations per hour condition, after some delay it found one in the 40 condition, and it did not find one in the 60 condition. The observations of technical and human performance throughout the five scenario use cases and the Missed Approach case study indicated that for HDV to increase traffic density and maintain or increase throughput, airspace monitoring services should be able to detect and resolve conflicts between aircraft. Furthermore, the roles and responsibilities of human operators need additional definition when it comes to responding to vehicle conflicts.", "keywords": [ "Automation", "Scalability", "Air traffic control", "Computer science", "Schedule", "Throughput", "Simulation", "National Airspace System", "Real-time computing", "Aeronautics", "Engineering", "Aerospace engineering" ], "cited_by_openalex": 3, "cited_by_scopus": "7", "eid": "2-s2.0-85178667155", "pii": null, "open_access_url": "https://doi.org/10.1109/dasc58513.2023.10311204", "sources": [ { "db": "openalex", "stream": "UAV", "query_id": "UAV-3" }, { "db": "scopus", "stream": "UAV", "query_id": "UAV-3" } ], "streams": [ "UAV" ], "relevance_signals": [ "UAV_NO_CTX" ], "auto_exclude_reason": "EC-4-topic", "screening_status": "auto_excluded", "screened_by": "auto-v1.0.0" }, { "id": "doi:10.1139/er-2022-0098", "doi": "10.1139/er-2022-0098", "title": "Forest harvesting impacts on small, temperate zone lakes: a review", "year": 2023, "authors": [ "Mariella H. J. Becu", "Tracy A. Michalski", "John Stuart Richardson" ], "first_author": "Mariella H. J. Becu", "venue": "Environmental Reviews", "volume": "31", "pages": "376-402", "type": "article", "language": "en", "abstract": "Small lakes (<1 km2) are physically, chemically, and biologically linked to their watersheds through hydrologic, terrestrial, and aerial delivery of materials. Inputs affecting lake function and structure, such as nutrient, energy, sediment, and large wood subsidies, arrive at the lake on three spatial scales, that is, the lake watershed, lake-inflow streams, and lake riparian areas. Lakes are sinks in the waterscape and integrate cumulative inputs from the landscape. Lakes can, therefore, react to landscape disturbances such as forest harvesting. Forest harvesting and associated activities can induce changes in watershed water yields, inputs of organic and inorganic materials to lakes, and in lake temperatures and wind. These changes result in stressors that can alter the lake’s physical habitat, water quality, and food webs. Here we review the reported impacts of forest harvesting on small, temperate zone lakes. The magnitude of the lake response to harvesting can depend on factors such as the proportion of the watershed harvested, the intensity of this harvesting, silvicultural practices and other activities, and road construction and density. Other additional factors include the proximity of the lake to harvesting and its impact on hydrological pathways connecting perturbed areas to stream and lake systems. The majority of surveyed studies reported short-term increases in nutrient and energy inputs, increased sedimentation due to harvesting, and increases in wind speeds, where about half reported increases in primary production or decreases in zooplankton biomass. Results on benthic macroinvertebrate, fish, and amphibians were less frequently reported and were geographically variable. Variation in the direction and magnitude of a lake’s food web response is likely due to studies of lakes with differences in watershed characteristics and forestry activities that can affect the magnitude of the lake response (i.e., proportion of watershed harvesting, forestry operations methods, hydrological connections to the lake, and site-specific attributes). We also discuss watershed forestry management and the implementation of lakeshore riparian buffers in the context of reducing forestry impacts on lakes. Most studies have been short-term, and the long-term, cumulative effects of forest harvesting on lake ecosystems remain unclear.", "keywords": [ "Environmental science", "Watershed", "Riparian zone", "Hydrology (agriculture)", "Benthic zone", "Biomass (ecology)", "Habitat", "Temperate climate", "Ecology", "STREAMS", "Geology" ], "cited_by_openalex": 7, "cited_by_scopus": "7", "eid": "2-s2.0-85173615268", "pii": null, "open_access_url": "https://cdnsciencepub.com/doi/pdf/10.1139/er-2022-0098", "sources": [ { "db": "openalex", "stream": "UAV", "query_id": "UAV-3" }, { "db": "scopus", "stream": "UAV", "query_id": "UAV-3" } ], "streams": [ "UAV" ], "relevance_signals": [ "UAV_NO_CTX" ], "auto_exclude_reason": "EC-4-topic", "screening_status": "auto_excluded", "screened_by": "auto-v1.0.0" }, { "id": "doi:10.12011/setp2022-1226", "doi": "10.12011/setp2022-1226", "title": "A multi-depot vehicle routing problem with multi-trip for gasoline stations with limited-capacity tanks", "year": 2023, "authors": [ "Liu Z." ], "first_author": "Liu Z.", "venue": "Xitong Gongcheng Lilun Yu Shijian System Engineering Theory and Practice", "volume": "43", "pages": "1232-1248", "type": "Article", "language": null, "abstract": null, "keywords": [], "cited_by_openalex": 0, "cited_by_scopus": "7", "eid": "2-s2.0-85162119166", "pii": null, "open_access_url": null, "sources": [ { "db": "scopus", "stream": "TRUCK", "query_id": "TRUCK-3" } ], "streams": [ "TRUCK" ], "relevance_signals": [ "NO_TECHNOLOGY_MATCH" ], "auto_exclude_reason": "EC-4-topic", "screening_status": "auto_excluded", "screened_by": "auto-v1.0.0" }, { "id": "doi:10.23773/2023_3", "doi": "10.23773/2023_3", "title": "Parcel delivery systems for city logistics: a cost-based comparison between different transportation technologies", "year": 2023, "authors": [ "Himstedt B." ], "first_author": "Himstedt B.", "venue": "Logistics Research", "volume": "16", "pages": null, "type": "Article", "language": null, "abstract": null, "keywords": [], "cited_by_openalex": 0, "cited_by_scopus": "7", "eid": "2-s2.0-85150960757", "pii": null, "open_access_url": null, "sources": [ { "db": "scopus", "stream": "UAV", "query_id": "UAV-1" } ], "streams": [ "UAV" ], "relevance_signals": [ "NO_TECHNOLOGY_MATCH" ], "auto_exclude_reason": "EC-4-topic", "screening_status": "auto_excluded", "screened_by": "auto-v1.0.0" }, { "id": "doi:10.59973/emjsr.11", "doi": "10.59973/emjsr.11", "title": "Last mile delivery Optimisation model for drone-enabled Vehicle Routing Problem", "year": 2023, "authors": [ "Ismail Tausif" ], "first_author": "Ismail Tausif", "venue": "Emerging Minds Journal for Student Research", "volume": null, "pages": null, "type": "article", "language": "en", "abstract": "In light of e-commerce's exponential growth trajectory over recent years, it has never been more critical to evaluate the last-mile delivery segment for its efficiency and cost-effectiveness. Autonomous vehicles (drones) offer considerable promise as potential solutions with ongoing investigations into emerging technologies in this context. To address problems related to last mile-delivery in logistics operations, the practicality of adopting a hybrid truck-drone delivery system is examined through this study. The researchers utilized Mixed-integer linear programming (MILP)and Gurobi optimization solvers both for optimizing performance as well as facilitating execution. While testing a drone dataset of a well-known logistics company as part of their research using an optimization model, the findings suggested that were remarkable competitive advantages including significant gains in reduction of timing. Nevertheless, there are several constraints like maintenance, recharging, difficult weather conditions & traffic congestion-necessitating focused innovative AI-based approaches. In spite of these impediments, a hybrid truck-drone’s potential applicability can remarkably boost the efficiency of last-mile delivery operations.", "keywords": [ "Drone", "Truck", "Last mile (transportation)", "Computer science", "Context (archaeology)", "Integer programming", "Mile", "Vehicle routing problem", "Operations research", "Transport engineering", "Routing (electronic design automation)", "Linear programming" ], "cited_by_openalex": 6, "cited_by_scopus": 0, "eid": null, "pii": null, "open_access_url": "https://ipipublishing.org/index.php/emjsr/article/download/11/14", "sources": [ { "db": "openalex", "stream": "TRUCK", "query_id": "TRUCK-1" }, { "db": "openalex", "stream": "UAV", "query_id": "UAV-1" }, { "db": "openalex", "stream": "UAV", "query_id": "UAV-2" } ], "streams": [ "TRUCK", "UAV" ], "relevance_signals": [ "UAV", "TRUCK" ], "auto_exclude_reason": null, "screening_status": "pending_human_screening", "screened_by": "auto-v1.0.0" }, { "id": "doi:10.1109/peeec60561.2023.00062", "doi": "10.1109/peeec60561.2023.00062", "title": "Multiple Optimization Methods of Automatic Application in Last-mile Delivery System", "year": 2023, "authors": [ "Ruili Yao" ], "first_author": "Ruili Yao", "venue": "Proceedings 2023 International Conference on Power Electrical Engineering Electronics and Control Peeec 2023", "volume": null, "pages": "291-294", "type": "conference-paper", "language": "en", "abstract": "The last mile delivery as the significant realized step of parcel reaching to the customer in the supply chain system. As the e-commerce and pandemic affections, the parcel volumes bring hard time for the current freight system. Thus, the alternative delivery methods combine with truck and robotics proposed a feasible solution for the transportation industry. This article is a literature review about the delivery robot’s applications operation methods. Firstly, the significance of robot in the last mile delivery is analyzed. Secondly, the basic operation and delivery methods of the robot are introduced from the ground layer and three-dimensional space respectively. Then the existing robot control application operation and network design models are analyzed. Finally, based on the operational methods and models, this paper analyzes and summarizes the limitations of the last kilometer delivery system, and its future development is prospected.", "keywords": [ "Mile", "Last mile (transportation)", "Computer science", "Delivery system", "System optimization", "Engineering", "Mathematical optimization", "Mathematics", "Geography", "Biomedical engineering" ], "cited_by_openalex": 5, "cited_by_scopus": "6", "eid": "2-s2.0-85186120269", "pii": null, "open_access_url": "https://doi.org/10.1109/peeec60561.2023.00062", "sources": [ { "db": "openalex", "stream": "TRUCK", "query_id": "TRUCK-1" }, { "db": "scopus", "stream": "TRUCK", "query_id": "TRUCK-1" } ], "streams": [ "TRUCK" ], "relevance_signals": [ "TRUCK" ], "auto_exclude_reason": null, "screening_status": "pending_human_screening", "screened_by": "auto-v1.0.0" }, { "id": "doi:10.1016/j.egyr.2023.03.018", "doi": "10.1016/j.egyr.2023.03.018", "title": "Assessing the decarbonization potential of China’s light-duty truck fleet by electrification", "year": 2023, "authors": [ "Jianxin Li", "Lei Wang", "Changxing Ji", "Huanran Liu", "Linfeng Lu", "Ting Zhang", "Mingnan Zhao", "Shujie Xu" ], "first_author": "Jianxin Li", "venue": "Energy Reports", "volume": "9", "pages": "212-225", "type": "article", "language": "en", "abstract": "Light-duty trucks (LDTs) play an important role in last-mile delivery. To assess the CO2 mitigation potential of the electrification pathway of the LDT fleet in China, a dynamic fleet-based life cycle assessment model is developed. Four scenarios with different electrification progress are designed to evaluate the LDT stock growth, energy demand and the life cycle CO2 emissions quantitatively. The results show that LDT stock will increase to about 38 million in 2050. Energy demand and life cycle CO2 emissions of the LDT fleet can be greatly reduced with the increase in the proportion of battery electric vehicles (BEVs) in the LDT stock. The electrification mitigation benefit obtained from the fuel cycle will eventually outweigh the additional CO2 emissions generated by the vehicle cycle, especially in the long term with a cleaner power grid and a higher proportion of BEV in the LDT stock.", "keywords": [ "Electrification", "Truck", "Environmental science", "Stock (firearms)", "Automotive engineering", "Heavy duty", "Engineering", "Electricity", "Electrical engineering" ], "cited_by_openalex": 6, "cited_by_scopus": "6", "eid": "2-s2.0-85149810566", "pii": "S235248472300255X", "open_access_url": "https://doi.org/10.1016/j.egyr.2023.03.018", "sources": [ { "db": "openalex", "stream": "TRUCK", "query_id": "TRUCK-1" }, { "db": "scopus", "stream": "TRUCK", "query_id": "TRUCK-1" } ], "streams": [ "TRUCK" ], "relevance_signals": [ "TRUCK" ], "auto_exclude_reason": null, "screening_status": "pending_human_screening", "screened_by": "auto-v1.0.0" }, { "id": "doi:10.1109/cscloud-edgecom58631.2023.00013", "doi": "10.1109/cscloud-edgecom58631.2023.00013", "title": "A Short Review of Truck and Drone Collaborative Delivery Problem", "year": 2023, "authors": [ "Yena Zhu", "Min Liu", "D. Jin" ], "first_author": "Yena Zhu", "venue": "Proceedings 2023 IEEE 10th International Conference on Cyber Security and Cloud Computing and 2023 IEEE 9th International Conference on Edge Computing and Scalable Cloud Cscloud Edgecom 2023", "volume": null, "pages": "18-23", "type": "conference-paper", "language": "en", "abstract": "With the emergence of efficient logistics models and the development of drone technology, the last-mile delivery problem has become a focus of attention for scholars in various fields. The advantages of drones, such as low cost, energy saving, and independence from road conditions, have made them increasingly popular in the delivery industry. However, drones have shortcomings such as short endurance, small payload capacity, and susceptibility to interference. Therefore, the cooperative delivery model of vehicles and drones has important theoretical research significance and practical application value. Existing literature reviews focus on static truck-drone delivery problems (TDDPs) and methods such as exact algorithms, heuristics, and metaheuristics. However, real-life truck-drone delivery problems are easily affected by dynamic environmental changes. Accordingly, this article introduces some new dynamic variants of TDDPs proposed in recent years, which consider variable drone flight endurance, urban crowded road conditions, stochastic customer demands, and the influence of weather changes. In recent years, some new methods for solving TDDPs have been introduced, such as the increasingly popular machine learning and reinforcement learning methods. Finally, the possible future research directions and development trends of TDDPs are presented.", "keywords": [ "Drone", "Truck", "Computer science", "Aeronautics", "Engineering", "Aerospace engineering" ], "cited_by_openalex": 5, "cited_by_scopus": "6", "eid": "2-s2.0-85168252745", "pii": null, "open_access_url": "http://dx.doi.org/10.1109/cscloud-edgecom58631.2023.00013", "sources": [ { "db": "openalex", "stream": "TRUCK", "query_id": "TRUCK-1" }, { "db": "openalex", "stream": "UAV", "query_id": "UAV-1" }, { "db": "scopus", "stream": "TRUCK", "query_id": "TRUCK-1" }, { "db": "scopus", "stream": "UAV", "query_id": "UAV-1" } ], "streams": [ "TRUCK", "UAV" ], "relevance_signals": [ "UAV", "TRUCK" ], "auto_exclude_reason": null, "screening_status": "pending_human_screening", "screened_by": "auto-v1.0.0" }, { "id": "doi:10.4324/9781003241478-23", "doi": "10.4324/9781003241478-23", "title": "Policy and Planning for Urban Logistics", "year": 2023, "authors": [ "Lætitia Dablanc" ], "first_author": "Lætitia Dablanc", "venue": null, "volume": null, "pages": null, "type": "book-chapter", "language": "en", "abstract": "This chapter presents nine “best practices” in urban logistics policies, each represented by a city. These initiatives were chosen because they have an interesting cost/benefit balance. They include freight consultation forums, low- and zero-emission zones, the promotion of clean delivery vehicles, road pricing, off-hour deliveries, curbside management, urban planning, support for innovative start-ups, and new methods for freight data collection. For each of the described initiatives, when possible, the specific case of urban logistics policies in cities of developing countries is presented, drawing from recent research results. Clean delivery vehicles are varied and include zero-emission trucks and vans, electric mopeds, cargo cycles, but also pedestrian deliveries, and delivery robots or robot-assisted deliveries. The concomitant development of large logistics facilities at the edge of metropolitan areas and urban warehouses within central areas require new types of land use planning and construction policies: regional spatial logistics planning on the one hand; and urban zoning promoting environment-friendly urban warehouses on the other hand.", "keywords": [ "Business", "Environmental planning", "Regional science", "Geography" ], "cited_by_openalex": 6, "cited_by_scopus": 0, "eid": null, "pii": null, "open_access_url": "https://doi.org/10.4324/9781003241478-23", "sources": [ { "db": "openalex", "stream": "TRUCK", "query_id": "TRUCK-1" } ], "streams": [ "TRUCK" ], "relevance_signals": [ "TRUCK" ], "auto_exclude_reason": null, "screening_status": "pending_human_screening", "screened_by": "auto-v1.0.0" }, { "id": "doi:10.1109/codit58514.2023.10284110", "doi": "10.1109/codit58514.2023.10284110", "title": "Automatic Control of Drones' Missions in a Hybrid Truck-Drone Delivery System", "year": 2023, "authors": [ "Silvia Proia", "Graziana Cavone", "Giulia Tresca", "Raffaele Carli", "Mariagrazia Dotoli" ], "first_author": "Silvia Proia", "venue": "9th 2023 International Conference on Control Decision and Information Technologies Codit 2023", "volume": null, "pages": "1477-1482", "type": "conference-paper", "language": "en", "abstract": "Last-mile delivery is one of the most discussed problems of the last decade due to the growing importance of e-commerce and the development of Industry 4.0. In particular, this problem regards the delivery of parcels from the warehouse to the final customers. In order to bring efficiency and innovation, in this paper a hybrid delivery architecture is considered, which takes advantage of the combined use of a drone and a truck to perform a sequence of pick-ups and deliveries, and the problem of optimal control of the drones' missions is addressed. The reference scenario is the smart city where the drone of the hybrid delivery architecture is in charge of three different pick-up and delivery missions: truck to point (i.e., pick-up from the truck and delivery to the customer), point to point (i.e., delivery to a customer and pick-up from the subsequent customer), and point to truck (i.e., reentry from a customer to the truck). From the control point of view, the drone is optimally guided in all the operating modes, i.e., ascent and descent from/to truck mode, free flight mode with/without payload, and descent for pick-up/delivery mode, by a receding horizon linear quadratic regulator (LQR), which is able to manage the drone in the dynamic landing on a movable vehicle and to allow the changing in real time of the landing point on the truck. Simulation results of the truck-drone delivery architecture are presented and discussed in detail, proving the effectiveness of the proposed method.", "keywords": [ "Drone", "Truck", "Payload (computing)", "Controller (irrigation)", "Computer science", "Engineering", "Point (geometry)", "Automotive engineering", "Computer security", "Network packet" ], "cited_by_openalex": 4, "cited_by_scopus": "6", "eid": "2-s2.0-85177429627", "pii": null, "open_access_url": "http://dx.doi.org/10.1109/codit58514.2023.10284110", "sources": [ { "db": "openalex", "stream": "TRUCK", "query_id": "TRUCK-1" }, { "db": "openalex", "stream": "UAV", "query_id": "UAV-1" }, { "db": "scopus", "stream": "TRUCK", "query_id": "TRUCK-1" }, { "db": "scopus", "stream": "UAV", "query_id": "UAV-1" } ], "streams": [ "TRUCK", "UAV" ], "relevance_signals": [ "UAV", "TRUCK" ], "auto_exclude_reason": null, "screening_status": "pending_human_screening", "screened_by": "auto-v1.0.0" }, { "id": "doi:10.1109/sm57895.2023.10112569", "doi": "10.1109/sm57895.2023.10112569", "title": "Optimal Placement of Drone Delivery Stations and Demand Allocation using Bio-inspired Algorithms", "year": 2023, "authors": [ "Feras Elsaid", "Enrique Torres Sanchez", "Yilun Li", "Alaa M. Khamis" ], "first_author": "Feras Elsaid", "venue": "2023 IEEE International Conference on Smart Mobility Sm 2023", "volume": null, "pages": "39-44", "type": "conference-paper", "language": "en", "abstract": "The last-mile delivery problem has recently received more attention due to dramatic increase in e-commerce and one-day delivery options. One delivery method has been in the forefront of last mile delivery research: drone delivery. Particularly, hybrid truck-drone delivery systems which attempt to overcome the limitations of only using drones. Researchers have attempted to improve drone routing and scheduling, but not many have studied the required infrastructure, including drone stations for recharging and pick-up of packages. This paper tackles the placement of drone delivery stations using bio-inspired optimization algorithms. The solution framework consists of two stages. The first stage tackles the location planning problem of stations, while the second stage deals with the allocation of delivery demand to located stations. The conventional k-means algorithm is used as a baseline for the location planning problem, while the greedy algorithm is used as a baseline for the demand allocation problem. The results shows that the simulated annealing algorithm achieves a 14% reduction in total cost and 6.2× run time improvement, whereas the genetic algorithm achieves a reduction of 10% in total cost and 1.8× run time improvement.", "keywords": [ "Drone", "Computer science", "Simulated annealing", "Last mile (transportation)", "Baseline (sea)", "Delivery Performance", "Real-time computing", "Scheduling (production processes)", "Vehicle routing problem", "Greedy algorithm", "Genetic algorithm", "Routing (electronic design automation)" ], "cited_by_openalex": 5, "cited_by_scopus": "6", "eid": "2-s2.0-85159858222", "pii": null, "open_access_url": "https://doi.org/10.1109/sm57895.2023.10112569", "sources": [ { "db": "openalex", "stream": "TRUCK", "query_id": "TRUCK-1" }, { "db": "openalex", "stream": "UAV", "query_id": "UAV-1" }, { "db": "scopus", "stream": "TRUCK", "query_id": "TRUCK-1" }, { "db": "scopus", "stream": "UAV", "query_id": "UAV-1" } ], "streams": [ "TRUCK", "UAV" ], "relevance_signals": [ "UAV", "TRUCK" ], "auto_exclude_reason": null, "screening_status": "pending_human_screening", "screened_by": "auto-v1.0.0" }, { "id": "doi:10.3390/math11081876", "doi": "10.3390/math11081876", "title": "An Exact Approach for Selecting Pickup-Delivery Stations in Urban Areas to Reduce Distribution Emission Costs", "year": 2023, "authors": [ "Anna Franca Sciomachen", "Maria Truvolo" ], "first_author": "Anna Franca Sciomachen", "venue": "Mathematics", "volume": "11", "pages": null, "type": "article", "language": "en", "abstract": "This paper deals with a variant of the multifacility location-routing problem in urban areas. The distribution network is modelled by an undirected graph, in which the nodes are split into a set of pickup-delivery stations, a depot, and a set of customers. The arcs represent the minimum-cost connections between nodes. A customer is assigned to a pickup-delivery station if he or she can reach it at the lowest sustainable cost, i.e., on foot or by bicycle, without exceeding a predefined maximum distance. The goal is to minimise the goods’ total delivery cost, including pollutant emissions. In this perspective, both travel distance and means of transport play a key role. We present an exact novel approach based on partitioning the research space of the solutions of a Mixed Integer Linear Programming model. In the model, Boolean decisional variables, representing the selection of the locations for the pickup-delivery stations, are fixed simultaneously with the solution of the classical Travelling Salesman Problem. A branching constraint allows us to determine the route that serves the selected pickup-delivery stations and the route, if any, that serves customers who do not go to any pickup-delivery station. We conduct extensive experimentation to test the proposed approach’s computational efficiency and analyse the optimal solution’s robustness with respect to the maximum distance of customers from the stations, their activation cost and the pollutant emissions. The effectiveness of the proposed approach in terms of solution quality and computation time is certified by a set of computational tests based on randomly generated instances with up to 150 customers and 30 pickup-delivery stations. The application of the proposed exact method to a case study related to a district of the city of Genoa (Italy) confirms its validity also for sustainably addressing real-size urban delivery problems. An evaluation of incentives for customers using pickup-delivery stations, possibly by implementing discount policies on orders, is also proposed.", "keywords": [ "Pickup", "Mathematical optimization", "Computer science", "Robustness (evolution)", "Travelling salesman problem", "Vehicle routing problem", "Integer programming", "Operations research", "Set (abstract data type)", "Routing (electronic design automation)", "Mathematics", "Computer network" ], "cited_by_openalex": 7, "cited_by_scopus": "6", "eid": "2-s2.0-85153721144", "pii": null, "open_access_url": "https://www.mdpi.com/2227-7390/11/8/1876/pdf?version=1681700396", "sources": [ { "db": "openalex", "stream": "TRUCK", "query_id": "TRUCK-2" }, { "db": "scopus", "stream": "TRUCK", "query_id": "TRUCK-2" } ], "streams": [ "TRUCK" ], "relevance_signals": [ "NO_TECHNOLOGY_MATCH" ], "auto_exclude_reason": "EC-4-topic", "screening_status": "auto_excluded", "screened_by": "auto-v1.0.0" }, { "id": "doi:10.1007/s12597-023-00694-5", "doi": "10.1007/s12597-023-00694-5", "title": "Presenting an optimization model for multi cross-docking rescheduling location problem with metaheuristic algorithms", "year": 2023, "authors": [ "Iman Ghasemian Sahebi", "Seyed Pendar Toufighi", "Mahdi Azzavi", "Faezeh Zare" ], "first_author": "Iman Ghasemian Sahebi", "venue": "OPSEARCH", "volume": "61", "pages": "137-162", "type": "article", "language": "en", "abstract": null, "keywords": [ "Particle swarm optimization", "Metaheuristic", "Computer science", "Mathematical optimization", "Algorithm", "Simulated annealing", "Genetic algorithm", "Meta heuristic", "Mathematics" ], "cited_by_openalex": 6, "cited_by_scopus": "6", "eid": "2-s2.0-85172923390", "pii": null, "open_access_url": "https://portal.findresearcher.sdu.dk/da/publications/ead5f55e-eb7d-4efe-9285-2dc7c5b41f4c", "sources": [ { "db": "openalex", "stream": "TRUCK", "query_id": "TRUCK-3" }, { "db": "scopus", "stream": "TRUCK", "query_id": "TRUCK-3" } ], "streams": [ "TRUCK" ], "relevance_signals": [ "NO_TECHNOLOGY_MATCH" ], "auto_exclude_reason": "EC-4-topic", "screening_status": "auto_excluded", "screened_by": "auto-v1.0.0" }, { "id": "doi:10.1007/s00500-023-09137-1", "doi": "10.1007/s00500-023-09137-1", "title": "A new hybrid genetic algorithm to optimize distribution and operational plans for cross-docking satellites", "year": 2023, "authors": [ "İlker Küçükoğlu", "Nursel Öztürk" ], "first_author": "İlker Küçükoğlu", "venue": "Soft Computing", "volume": "27", "pages": "18723-18738", "type": "article", "language": "en", "abstract": null, "keywords": [ "Simulated annealing", "Truck", "Genetic algorithm", "Computer science", "Algorithm", "Mathematical optimization", "Estimation of distribution algorithm", "Engineering", "Mathematics", "Automotive engineering", "Machine learning" ], "cited_by_openalex": 5, "cited_by_scopus": "6", "eid": "2-s2.0-85169885574", "pii": null, "open_access_url": "https://doi.org/10.1007/s00500-023-09137-1", "sources": [ { "db": "openalex", "stream": "TRUCK", "query_id": "TRUCK-3" }, { "db": "scopus", "stream": "TRUCK", "query_id": "TRUCK-3" } ], "streams": [ "TRUCK" ], "relevance_signals": [ "TRUCK_NO_CTX" ], "auto_exclude_reason": "EC-4-topic", "screening_status": "auto_excluded", "screened_by": "auto-v1.0.0" }, { "id": "doi:10.1016/j.procs.2023.12.118", "doi": "10.1016/j.procs.2023.12.118", "title": "Design and Optimization of an Eco-Efficient Vehicle Routing Model for Heterogeneous Fleets and Multi Depot Systems", "year": 2023, "authors": [ "Shreeyash Vyakarnam", "Gokulakrishnan Jayakumar", "Joseph Augustine Cherukara" ], "first_author": "Shreeyash Vyakarnam", "venue": "Procedia Computer Science", "volume": "230", "pages": "629-640", "type": "conference-paper", "language": "en", "abstract": "In the dynamic landscape of vehicle routing problems (VRP), the traditional focus on cost minimization has significantly evolved due to the pressing need to address environmental concerns. With the logistics industry experiencing exponential growth and increased vehicle utilization, sustainability has become a central consideration both globally and in strategic planning. The Vehicle Routing Problem (VRP) remains a key challenge in logistics and transportation management, aiming to optimize routes and vehicle allocation to minimize transportation costs. This study introduces an innovative VRP model that intricately balances economic efficiency with ecological responsibility, addressing the urgent call for sustainable solutions amidst the ongoing environmental crisis. The proposed model features a diverse fleet of trucks, each designated for specific product types, creating a heterogeneous fleet. Originating from multiple depots, these trucks ensure comprehensive geographic coverage and enhance logistical efficiency. The core objective of the model is twofold: minimizing the financial transportation costs associated with supplying multiple products from multiple depots to customers and significantly reducing the carbon footprint, thereby addressing environmental sustainability. Two distinct solutions are proposed: one based on mixed-integer linear programming (MILP) and the other utilizing a heuristic approach. The choice of mixed-integer linear programming instead of linear programming is due to the need to make binary route decisions. Results are compared, focusing on outcome variation and computation time. Additionally, the solution demonstrates upto 100% variation in results when comparing the heuristic model with the optimal values derived from mixed-integer linear programming, though it requires less computation time. This research underscores the importance of seamlessly integrating economic and environmental considerations in the logistics industry. The proposed model embodies this principle, representing a substantial step towards a more sustainable future. By aligning objectives with global sustainability goals set by the United Nations in 2015, this research contributes to the discourse on sustainable development. It lays the foundation for future innovations in vehicle routing and logistics.", "keywords": [ "Computer science", "Vehicle routing problem", "Truck", "Sustainability", "Integer programming", "Heuristic", "Operations research", "Linear programming", "Carbon footprint", "Routing (electronic design automation)", "Mathematical optimization", "Greenhouse gas" ], "cited_by_openalex": 8, "cited_by_scopus": "6", "eid": "2-s2.0-85184102618", "pii": "S1877050923021233", "open_access_url": "https://doi.org/10.1016/j.procs.2023.12.118", "sources": [ { "db": "openalex", "stream": "TRUCK", "query_id": "TRUCK-3" }, { "db": "scopus", "stream": "TRUCK", "query_id": "TRUCK-3" } ], "streams": [ "TRUCK" ], "relevance_signals": [ "TRUCK_NO_CTX" ], "auto_exclude_reason": "EC-4-topic", "screening_status": "auto_excluded", "screened_by": "auto-v1.0.0" }, { "id": "doi:10.1109/tmag.2023.3306809", "doi": "10.1109/tmag.2023.3306809", "title": "Magnetic Field Analysis of 50 kW Wireless Power Transfer System for Heavy Duty Vehicles", "year": 2023, "authors": [ "Amelie David", "Myrel Tiemann", "Markus Clemens", "Benedikt Schmuelling" ], "first_author": "Amelie David", "venue": "IEEE Transactions on Magnetics", "volume": "60", "pages": null, "type": "article", "language": "en", "abstract": "This scientific publication delves into the magnetic field characteristics of high-power wireless transfer systems in the context of two trucks parked side by side with potential misalignment. The study aims to reflect real-life scenarios encountered in parking lots or depots, where multiple trucks undergo simultaneous charging. For comprehensive investigations, we employ unipolar coil arrangements specifically designed for high-power transfer applications. Electromagnetic field (EMF) analyses are performed using finite-element analysis modeling. With an evaluation method developed based on standards, the results show that depending on the relative positioning of the considered trucks, measures to guarantee EMF safety-level compliance might become necessary.", "keywords": [ "Wireless power transfer", "Truck", "Context (archaeology)", "Electromagnetic coil", "Computer science", "Automotive engineering", "Wireless", "Electromagnetic field", "Power (physics)", "Electrical engineering", "Field (mathematics)", "Finite element method" ], "cited_by_openalex": 5, "cited_by_scopus": "6", "eid": "2-s2.0-85168739085", "pii": null, "open_access_url": "https://doi.org/10.1109/tmag.2023.3306809", "sources": [ { "db": "openalex", "stream": "TRUCK", "query_id": "TRUCK-3" }, { "db": "scopus", "stream": "TRUCK", "query_id": "TRUCK-3" } ], "streams": [ "TRUCK" ], "relevance_signals": [ "TRUCK_NO_CTX" ], "auto_exclude_reason": "EC-4-topic", "screening_status": "auto_excluded", "screened_by": "auto-v1.0.0" }, { "id": "doi:10.1007/s10479-023-05752-1", "doi": "10.1007/s10479-023-05752-1", "title": "Modeling and solving the fuel distribution problem with unloading precedence and loading sequence considerations", "year": 2023, "authors": [ "Konstantinos N. Androutsopoulos", "Konstantinos G. Zografos" ], "first_author": "Konstantinos N. Androutsopoulos", "venue": "Annals of Operations Research", "volume": "332", "pages": "909-947", "type": "article", "language": "en", "abstract": "Abstract This paper presents a real-world liquid fuel distribution problem involving a heterogeneous fleet of multi-compartment vehicles servicing a set of orders of different fuels. Two new features are introduced that affect significantly the performance of the fuel distribution process in terms of safety and efficiency: (i) loading trucks so that the payload remains balanced throughout each phase of a delivery route, and (ii) sequencing the requests for loading trucks at the depot loading facilities. A Mixed Integer Programming formulation is presented and an Adaptive Large Neighbourhood Search algorithm with various novel features is developed and benchmarked. A new loading model is formed and solved for allocating the ordered items (fuel) to vehicle compartments, as part of constructing/repairing delivery routes. The computational performance of the proposed solution approach has been tested on a series of benchmark problems. Moreover, a series of experiments were performed in order to assess the effect of the balanced loading constraints on the traveled distance. The results indicate that the effect of this type of constraint on the total traveled distance is kept at a reasonable level, reaching a maximum increase of 4.37%. The computational tools presented in this work may accommodate the dispatchers’ work in producing efficient and safe delivery routes while managing efficiently any potential bottleneck in the truck loading facilities.", "keywords": [ "Truck", "Bottleneck", "Computer science", "Theory of computation", "Benchmark (surveying)", "Integer programming", "Set (abstract data type)", "Payload (computing)", "Mathematical optimization", "Operations research", "Engineering", "Algorithm" ], "cited_by_openalex": 3, "cited_by_scopus": "6", "eid": "2-s2.0-85180453561", "pii": null, "open_access_url": "https://link.springer.com/content/pdf/10.1007/s10479-023-05752-1.pdf", "sources": [ { "db": "openalex", "stream": "TRUCK", "query_id": "TRUCK-3" }, { "db": "scopus", "stream": "TRUCK", "query_id": "TRUCK-3" } ], "streams": [ "TRUCK" ], "relevance_signals": [ "TRUCK_NO_CTX" ], "auto_exclude_reason": "EC-4-topic", "screening_status": "auto_excluded", "screened_by": "auto-v1.0.0" }, { "id": "doi:10.17233/sosyoekonomi.2023.04.05", "doi": "10.17233/sosyoekonomi.2023.04.05", "title": "The Use of New Technologies in Logistics: Drone (UAV) Use in Last Mile Delivery", "year": 2023, "authors": [ "Yavuz Toraman", "Tuncel Öz" ], "first_author": "Yavuz Toraman", "venue": "Sosyoekonomi", "volume": "31", "pages": "105-124", "type": "article", "language": "en", "abstract": "The increasing volume of e-commerce has complicated delivery operations, making it imperative to diversify the processes. Industry leaders have attempted to use drones, autonomous vehicles, electric vehicles, etc., in delivery processes. The research examined the adoption of consumer drone usage in delivery. The Technology Acceptance Model (TAM) was used in the study. In the analysis method, Partial Least Squares-Structural Equation Modelling (PLS-SEM), which is commonly used in the literature for multiple relationships due to the presence of multiple dependent and mediating variables, was used with the Smart PLS software package. Only the H5 hypothesis was rejected in the research, and the other hypotheses were accepted. When examining the hypothesis results, it was concluded that people are open to technological innovations and have a positive outlook on using drones in future product delivery processes.", "keywords": [ "Drone", "Structural equation modeling", "Partial least squares regression", "Last mile (transportation)", "Computer science", "Mile", "Business", "Marketing", "Machine learning", "Geography" ], "cited_by_openalex": 9, "cited_by_scopus": "6", "eid": "2-s2.0-85192134930", "pii": null, "open_access_url": "https://dergipark.org.tr/en/download/article-file/2862248", "sources": [ { "db": "openalex", "stream": "UAV", "query_id": "UAV-1" }, { "db": "scopus", "stream": "UAV", "query_id": "UAV-1" } ], "streams": [ "UAV" ], "relevance_signals": [ "UAV" ], "auto_exclude_reason": null, "screening_status": "pending_human_screening", "screened_by": "auto-v1.0.0" }, { "id": "doi:10.20944/preprints202302.0381.v1", "doi": "10.20944/preprints202302.0381.v1", "title": "The Use of Drones to Delivery Rift Valley Fever Vaccines in Rwanda: Perceptions and Recommendations", "year": 2023, "authors": [ "Evan F. Griffith", "Janna M. Schurer", "Billy Mawindo", "Rita Kwibuka", "Thierry Turibyarive", "Hellen J. Amuguni" ], "first_author": "Evan F. Griffith", "venue": "Preprints.org", "volume": null, "pages": null, "type": "preprint", "language": "en", "abstract": "Given the recent emergence of Rift Valley Fever (RVF) in Rwanda and its profound impact on livelihoods and health, improving RVF prevention and control strategies is crucial. Vaccinating livestock is one of the most sustainable strategies to mitigate the impact of RVF on health and livelihoods, yet vaccine supply chain constraints severely limit the effectiveness of vaccination programs. In the human health sector, unmanned aerial vehicles, i.e., drones, are increasingly being used to improve supply chains and last-mile vaccine delivery. We investigated perceptions on whether delivering RVF vaccines by drone in Rwanda might help to overcome logistical constraints in the vaccine supply chain. We conducted semi-structured interviews with stakeholders in the animal health sector and Zipline employees in Nyagatare District in the Eastern Province of Rwanda and used content analysis to identify key themes. We found that stakeholders in the animal health sector and Zipline employees believe that drones could improve RVF vaccination in Nyagatare. The main benefits study participants identified included decreased transportation time, improved cold chain maintenance, and cost savings.", "keywords": [ "Rift Valley fever", "Livelihood", "Business", "Drone", "Vaccination", "Supply chain", "Geography", "Medicine", "Marketing", "Agriculture", "Virology", "Outbreak" ], "cited_by_openalex": 6, "cited_by_scopus": 0, "eid": null, "pii": null, "open_access_url": "https://www.preprints.org/manuscript/202302.0381/v1/download", "sources": [ { "db": "openalex", "stream": "UAV", "query_id": "UAV-1" } ], "streams": [ "UAV" ], "relevance_signals": [ "UAV" ], "auto_exclude_reason": null, "screening_status": "pending_human_screening", "screened_by": "auto-v1.0.0" }, { "id": "doi:10.1109/itsc57777.2023.10422537", "doi": "10.1109/itsc57777.2023.10422537", "title": "Tightly Joining Positioning and Control for Trustworthy Unmanned Aerial Vehicles Based on Factor Graph Optimization in Urban Transportation", "year": 2023, "authors": [ "Peiwen Yang", "Weisong Wen" ], "first_author": "Peiwen Yang", "venue": "IEEE Conference on Intelligent Transportation Systems Proceedings ITSC", "volume": null, "pages": "3589-3596", "type": "conference-paper", "language": "en", "abstract": "Unmanned aerial vehicles (UAV) showed great potential in improving the efficiency of parcel delivery applications in the coming smart cities era. Unfortunately, the trustworthy positioning and control algorithms of the UAV are significantly challenged in complex urban areas. For example, the ubiquitous global navigation satellite system (GNSS) positioning can be degraded by the signal reflections from surrounding high-rising buildings, leading to significantly increased positioning uncertainty. An additional challenge is introduced to the control algorithm due to the complex wind disturbances in urban canyons. Given the fact that the system positioning and control are highly correlated with each other, for example, the system dynamics of the control can largely help with the positioning, this paper proposed a joint positioning and control method (JPCM) based on factor graph optimization (FGO), which combines sensors' measurements and control intention. In particular, the positioning measurements are formulated as the factors in the factor graph model, such as the positioning from the GNSS. The model predictive control (MPC) is also formulated as the additional factors in the factor graph model. By solving the factor graph contributed by both the positioning factor and the MPC-based factors, the complementariness of positioning and control can be fully explored. To guarantee reliable system dynamic parameters, we validate the effectiveness of the proposed method using a simulated quadrotor system which showed significantly improved trajectory following performance. To benefit the research community, we open-source our code and make it available at https://github.com/RoboticsPolyu/IPN_MPC.", "keywords": [ "Trustworthiness", "Computer science", "Computer security" ], "cited_by_openalex": 4, "cited_by_scopus": "6", "eid": "2-s2.0-85186527085", "pii": null, "open_access_url": "https://doi.org/10.1109/itsc57777.2023.10422537", "sources": [ { "db": "openalex", "stream": "UAV", "query_id": "UAV-1" }, { "db": "scopus", "stream": "UAV", "query_id": "UAV-1" } ], "streams": [ "UAV" ], "relevance_signals": [ "UAV" ], "auto_exclude_reason": null, "screening_status": "pending_human_screening", "screened_by": "auto-v1.0.0" }, { "id": "doi:10.3390/atmos14020373", "doi": "10.3390/atmos14020373", "title": "A Drone Routing Problem for Ship Emission Detection Considering Simultaneous Movements", "year": 2023, "authors": [ "Zhi‐Hua Hu", "Tian-Ci Liu", "Xi-Dan Tian" ], "first_author": "Zhi‐Hua Hu", "venue": "Atmosphere", "volume": "14", "pages": null, "type": "article", "language": "en", "abstract": "Offshore ships’ emission has a tremendous environmental and healthy impact on the port cities and citizens, even though the Emission Control Area (ECA) policy imposes legislative constraints on the ships. It is challenging to detect ships with illegal emissions using traditional administrative and enforcement methods. In addition to a system of ships’ emission detection, a drone-based detection system is investigated, and a drone routing problem is formulated considering the distinct feature: the drone flying while ships move simultaneously. A nonlinear program is devised, and heuristics algorithms are developed to solve the test instances. The numerical experiments demonstrate the feasibility and advantages of using drone routing solutions. The solution algorithm can solve large samples with 50 ships within 2 s, and the computing time is almost linear to the number of ships. The proposed model and algorithms should contribute to drone-based ship emission detection and a featured routing problem.", "keywords": [ "Drone", "Routing (electronic design automation)", "Heuristics", "Computer science", "Enforcement", "Port (circuit theory)", "Operations research", "Marine engineering", "Engineering", "Computer network" ], "cited_by_openalex": 5, "cited_by_scopus": "6", "eid": "2-s2.0-85149008982", "pii": null, "open_access_url": "https://www.mdpi.com/2073-4433/14/2/373/pdf?version=1676361692", "sources": [ { "db": "openalex", "stream": "UAV", "query_id": "UAV-2" }, { "db": "scopus", "stream": "UAV", "query_id": "UAV-2" } ], "streams": [ "UAV" ], "relevance_signals": [ "UAV_NO_CTX" ], "auto_exclude_reason": "EC-4-topic", "screening_status": "auto_excluded", "screened_by": "auto-v1.0.0" }, { "id": "doi:10.1109/dcoss-iot58021.2023.00046", "doi": "10.1109/dcoss-iot58021.2023.00046", "title": "Holistic Path Planning for Multi-Drone Data Collection", "year": 2023, "authors": [ "Jonathan Diller", "Peter M. Hall", "Qi Han" ], "first_author": "Jonathan Diller", "venue": "Proceedings 19th International Conference on Distributed Computing in Smart Systems and the Internet of Things Dcoss Iot 2023", "volume": null, "pages": "222-226", "type": "conference-paper", "language": "en", "abstract": "This paper presents how to plan for and deploy a team of Unmanned Aerial Vehicles (UAVs) to collect data from wireless sensors while minimizing collection latency. We propose a holistic solution for this problem where we first form an offline plan while considering communication and energy constraints then derive an online strategy for the UAVs to handle sensor failures and the stochastic nature of wireless communication. For offline planning, we propose a heuristic-based algorithm that turns the problem into a variation of the Vehicle Routing Problem. For our online strategy, we propose a coupled offline-online algorithm that adapts UAV behavior as needed. We evaluate our algorithms through extensive simulations as well as a proof-of-concept implementation on a physical UAV and wireless sensor testbed.", "keywords": [ "Computer science", "Drone", "Testbed", "Wireless sensor network", "Motion planning", "Wireless", "Heuristic", "Real-time computing", "Latency (audio)", "Data collection", "Proof of concept", "Distributed computing" ], "cited_by_openalex": 7, "cited_by_scopus": "6", "eid": "2-s2.0-85163854782", "pii": null, "open_access_url": "https://doi.org/10.1109/dcoss-iot58021.2023.00046", "sources": [ { "db": "openalex", "stream": "UAV", "query_id": "UAV-2" }, { "db": "scopus", "stream": "UAV", "query_id": "UAV-2" } ], "streams": [ "UAV" ], "relevance_signals": [ "UAV_NO_CTX" ], "auto_exclude_reason": "EC-4-topic", "screening_status": "auto_excluded", "screened_by": "auto-v1.0.0" }, { "id": "doi:10.1287/trsc.2021.0170", "doi": "10.1287/trsc.2021.0170", "title": "Dual Bounds from Decision Diagram-Based Route Relaxations: An Application to Truck-Drone Routing", "year": 2023, "authors": [ "Ziye Tang", "Willem‐Jan van Hoeve" ], "first_author": "Ziye Tang", "venue": "Transportation Science", "volume": "58", "pages": "257-278", "type": "article", "language": "en", "abstract": "For vehicle routing problems, strong dual bounds on the optimal value are needed to develop scalable exact algorithms as well as to evaluate the performance of heuristics. In this work, we propose an iterative algorithm to compute dual bounds motivated by connections between decision diagrams and dynamic programming models used for pricing in branch-and-cut-and-price algorithms. We apply techniques from the decision diagram literature to generate and strengthen novel route relaxations for obtaining dual bounds without using column generation. Our approach is generic and can be applied to various vehicle routing problems in which corresponding dynamic programming models are available. We apply our framework to the traveling salesman with drone problem and show that it produces dual bounds competitive to those from the state of the art. Applied to larger problem instances in which the state-of-the-art approach does not scale, our method outperforms other bounding techniques from the literature. Funding: This work was supported by the National Science Foundation [Grant 1918102] and the Office of Naval Research [Grants N00014-18-1-2129 and N00014-21-1-2240]. Supplemental Material: The online appendix is available at https://doi.org/10.1287/trsc.2021.0170 .", "keywords": [ "Column generation", "Heuristics", "Bounding overwatch", "Travelling salesman problem", "Arc routing", "Computer science", "Dual (grammatical number)", "Routing (electronic design automation)", "Drone", "Mathematical optimization", "Branch and price", "Scalability" ], "cited_by_openalex": 9, "cited_by_scopus": "6", "eid": "2-s2.0-85184997088", "pii": null, "open_access_url": "https://doi.org/10.1287/trsc.2021.0170", "sources": [ { "db": "openalex", "stream": "UAV", "query_id": "UAV-2" }, { "db": "scopus", "stream": "UAV", "query_id": "UAV-2" } ], "streams": [ "UAV" ], "relevance_signals": [ "UAV_NO_CTX", "TRUCK_NO_CTX" ], "auto_exclude_reason": "EC-4-topic", "screening_status": "auto_excluded", "screened_by": "auto-v1.0.0" }, { "id": "doi:10.1109/dasc58513.2023.10311314", "doi": "10.1109/dasc58513.2023.10311314", "title": "Aerial Vehicle Routing and Scheduling for UAS Traffic Management: A Hybrid Monte Carlo Tree Search Approach", "year": 2023, "authors": [ "Kenny Chour", "Priyank Pradeep", "Alexey A. Munishkin", "Krishna Kalyanam" ], "first_author": "Kenny Chour", "venue": "AIAA IEEE Digital Avionics Systems Conference Proceedings", "volume": null, "pages": null, "type": "conference-paper", "language": "en", "abstract": "We present the Multi-Route Weighted Package Delivery Problem (MRWPDP) and a scalable solution methodology as a major step towards enabling an airspace deconfliction service for drone delivery operations. The problem is motivated by Strategic deconfliction under the FAA’s \"Unmanned Aircraft Systems Traffic Management\" Concept of Operations. MRWPDP falls under a class of vehicle routing and scheduling problems, and as such is NP-Hard. In MRWPDP, a graph network is given which consists of depots, drop-off sites, and multiple routes connecting the two. In addition, routes are weighted by the associated ground risk and total travel distance for package delivery. The goal is to optimally schedule the departure time and assign routes to a known set of vehicles at the depot. We propose a heuristic solution to the problem by borrowing techniques from Mixed Integer Linear Programming (MILP), Constraint Programming, and Monte Carlo Tree Search (MCTS). The resulting hybrid framework is MCTS with Bound-and-Prune (BP) and rapid simulated updates (U), or MCTS-BP-U. This approach is able to quickly provide a feasible solution for MRWPDP, even for large problem instances up to 1000 vehicles. We provide a MILP formulation of MRWPDP and compare its performance against MCTS-BP-U in terms of solution quality. An agent-based model simulation is conducted as a final step to validate the efficacy of our approach.", "keywords": [ "Computer science", "Monte Carlo method", "Scheduling (production processes)", "Monte Carlo tree search", "Vehicle routing problem", "Routing (electronic design automation)", "Mathematical optimization", "Computer network", "Mathematics" ], "cited_by_openalex": 5, "cited_by_scopus": "6", "eid": "2-s2.0-85178665090", "pii": null, "open_access_url": "https://doi.org/10.1109/dasc58513.2023.10311314", "sources": [ { "db": "openalex", "stream": "UAV", "query_id": "UAV-2" }, { "db": "scopus", "stream": "UAV", "query_id": "UAV-2" } ], "streams": [ "UAV" ], "relevance_signals": [ "UAV" ], "auto_exclude_reason": null, "screening_status": "pending_human_screening", "screened_by": "auto-v1.0.0" }, { "id": "doi:10.1109/smc53992.2023.10394106", "doi": "10.1109/smc53992.2023.10394106", "title": "Joint UAV Trajectory Scheduling and Network Routing for FANETs: A Reinforcement Learning Approach", "year": 2023, "authors": [ "Junyi Gan", "Bing Li", "Shengjie Zhao" ], "first_author": "Junyi Gan", "venue": "Conference Proceedings IEEE International Conference on Systems Man and Cybernetics", "volume": null, "pages": "2519-2524", "type": "conference-paper", "language": "en", "abstract": "Flying Ad-hoc Networks (FANETs) consisting of multiple flexible unmanned aerial vehicles (UAVs) have gained ever-increasing attention due to their advantages in flexible deployment and enhanced data link connectivity. However, existing FANET schemes do not consider the mutual influence between data routing and UAV trajectory scheduling, resulting in limited network performance especially when the number of UAVs in FANET is large. This paper proposes a joint optimization framework for routing and UAV trajectory scheduling in FANET to enhance communication reliability and efficiency. Unlike previous studies that consider routing and trajectory scheduling separately, this framework formulates the routing problem as a Markov Decision Process (MDP) and employs trajectory schedule to guide the state transition probability, addressing the limitation of routing algorithms that passively perceive network topology. In addition, we exploit reinforcement learning to iteratively determine the optimal routing and trajectory scheduling strategy with the support of network topology prediction. Simulation results demonstrate that our proposed approach can significantly reduce latency, communication overhead, and packet loss in FANET.", "keywords": [ "Computer science", "Reinforcement learning", "Computer network", "Distributed computing", "Scheduling (production processes)", "Static routing", "Markov decision process", "Wireless ad hoc network", "Network topology", "Network packet", "Markov process", "Routing protocol" ], "cited_by_openalex": 3, "cited_by_scopus": "6", "eid": "2-s2.0-85187266559", "pii": null, "open_access_url": "https://doi.org/10.1109/smc53992.2023.10394106", "sources": [ { "db": "openalex", "stream": "UAV", "query_id": "UAV-2" }, { "db": "scopus", "stream": "UAV", "query_id": "UAV-2" } ], "streams": [ "UAV" ], "relevance_signals": [ "UAV_NO_CTX" ], "auto_exclude_reason": "EC-4-topic", "screening_status": "auto_excluded", "screened_by": "auto-v1.0.0" }, { "id": "doi:10.58940/2374-6793.1854", "doi": "10.58940/2374-6793.1854", "title": "Public Opinion Concerning the Siting of Vertiports", "year": 2023, "authors": [ "David Carl Ison" ], "first_author": "David Carl Ison", "venue": "International Journal of Aviation Aeronautics and Aerospace", "volume": null, "pages": null, "type": "article", "language": "en", "abstract": "This study sought a better understanding of public opinion about the siting of vertiports to support Advanced Air Mobility (AAM). An online survey was used to collect the necessary data. The survey was divided into seven sections: personal impacts, community impacts, acceptable proximity, benefits and concerns, flight operations, open-ended comments, and demographics. The findings for personal impacts suggested a slightly positive outlook. Community impacts were assessed, and data also indicated a marginally positive outlook. The survey revealed that a tolerable average distance between the home of the respondent and a vertiport was between one to two miles. Opinions about the benefits of a vertiport were found to include saving time, access to transit, reduced congestion, flexibility, and economic impact. Respondent concerns focused on safety, noise, air pollution, light pollution, and visual distractions/disturbances. The majority of respondents indicated that 35-40 daily flights would be acceptable. The survey also revealed that respondents were mostly comfortable with the proximity of eVTOLs to their homes but preferred that eVTOLs were flying at an altitude of 1,000 feet or higher. The demographics of respondents were also outlined. The results of this study provide planners and stakeholders with critical information necessary to consider public concerns and community impacts when selecting sites for vertiports.", "keywords": [ "Public opinion", "Political science", "Law", "Politics" ], "cited_by_openalex": 6, "cited_by_scopus": 0, "eid": null, "pii": null, "open_access_url": "https://commons.erau.edu/cgi/viewcontent.cgi?article=1854&context=ijaaa", "sources": [ { "db": "openalex", "stream": "UAV", "query_id": "UAV-3" } ], "streams": [ "UAV" ], "relevance_signals": [ "UAV_NO_CTX" ], "auto_exclude_reason": "EC-4-topic", "screening_status": "auto_excluded", "screened_by": "auto-v1.0.0" }, { "id": "doi:10.7470/jkst.2023.41.2.212", "doi": "10.7470/jkst.2023.41.2.212", "title": "A Study on the Criterions Affecting UAM Vertiport Location Based on User-Oriented Perspectives", "year": 2023, "authors": [ "Wonjin KIM", "Jae‐Hong Park", "Jeong Whon Yu", "Joonho Ko" ], "first_author": "Wonjin KIM", "venue": "대한교통학회지", "volume": "41", "pages": "212-225", "type": "article", "language": "en", "abstract": "대도시권의 지속적인 인구 과밀화 및 인프라의 집적으로 교통혼잡, 탄소 배출량 증가 등 다양한 사회적 문제가 발생하고 있으나 도로, 철도와 같은 기존 지상 교통인프라의 개선은 물리적으로 한계가 있을 것으로 예상되며 이러한 도시교통문제의 해결 차원에서 최근 입체적인 교통체계인 UAM 도입이 추진되고 있다. 특히, UAM 버티포트(vertiport)는 항공교통 개념이 결합된 교통망의 중요한 환승인프라이기 때문에 그 기능과 역할을 발휘하기 위해서는 기술공학적 측면은 물론 이용환경 측면에서 적정 입지를 선정하는 과정이 필수적으로 수반되어야 할 것이다. 본 연구는 UAM 개발의 초기 단계에서 대도시권 지역형 버티포트를 대상으로 이용자들이 생각하는 이용환경 측면의 핵심변수를 조사하여 요인분석 및 회귀분석의 다양한 분석체계를 기반으로 그 입지 요인의 중요도와 영향도를 선제적으로 제시하는데 목적이 있다. UAM 이용환경 측면에서 바라보는 핵심변수의 중요도를 분석하고, UAM 이용증대를 위한 입지 요인을 제시하였다. 연구 결과, 도심지역의 환승접근성이 좋은 입지를 선정하되 이착륙 안전이 가장 중요하다고 생각하였으며, 이용증대에 미치는 입지 요인은 접근성 요인이 가장 중요하다고 인식하고 있다. 본 연구는 UAM 상용화를 위해 연구개발 초기 단계에서 버티포트의 입지요인을 선제적으로 제시하는데 의의가 있으며, 이를 통해 향후 UAM 상용화 시 이용증대를 위한 버티포트 구축 방향 정립은 물론, UAM을 통한 국민들의 이동권 확대에 도움이 될 수 있기를 기대한다. 또한, 본 연구는 학술적인 논의가 거의 이루어지지 못한 UAM 버티포트 입지영향요인을 선정하여 중요도를 산정하였다는 점에서 의의가 있다. 현재 실증사례와 제도적인 기준 자체가 부재한 상황에서 미래에 대비한 UAM 버티포트 입지를 논의해 보는 것은 향후 도시계획 수립 방향에 시사하는 바가 클 것으로 기대된다.", "keywords": [ "Metropolitan area", "Transport engineering", "Key (lock)", "Order (exchange)", "Computer science", "Business", "Engineering", "Computer security", "Geography" ], "cited_by_openalex": 5, "cited_by_scopus": "6", "eid": "2-s2.0-105045539171", "pii": null, "open_access_url": "https://doi.org/10.7470/jkst.2023.41.2.212", "sources": [ { "db": "openalex", "stream": "UAV", "query_id": "UAV-3" }, { "db": "scopus", "stream": "UAV", "query_id": "UAV-3" } ], "streams": [ "UAV" ], "relevance_signals": [ "UAV_NO_CTX" ], "auto_exclude_reason": "EC-4-topic", "screening_status": "auto_excluded", "screened_by": "auto-v1.0.0" }, { "id": "doi:10.1386/ijfd_00049_1", "doi": "10.1386/ijfd_00049_1", "title": "Green food transformation systems: Role of young people in engagement and digital literacy", "year": 2023, "authors": [ "Bent Egberg Mikkelsen", "Mukti Ram Chapagain" ], "first_author": "Bent Egberg Mikkelsen", "venue": "International Journal of Food Design", "volume": "8", "pages": "13-34", "type": "article", "language": "en", "abstract": "Food and agriculture systems have been under pressure due to climate change. Food production and consumption are known to cause up to one-third of climate impact as they occupy a large part of land for animal feeding and a significant amount of food is wasted. To reduce climate impact, therefore, food systems need to incorporate constructive approaches. These include aspects of production, distribution, consumption and disposal. It requires new digital insight and capacity-building to interpret the changes. Schools can provide an excellent arena for these changes because of their infrastructure and wide reach in society. Against this backdrop, the Sense, Science and the Magic of Food (SESAM) programme set out to study whether learning about food systems transformation could be achieved by incorporating contemporary digital technologies. The SESAM programme took place in four elementary schools (teachers: n = 12, pupils: n = 300). We developed four learning stations with a food and cultivation theme, as well as digital themes such as a simple aquaponics plant with data collection sensors, a programmable robotized raised growing bed, an artificial light-driven vertical mini farm and an autonomous programmed drone-based delivery service. The report shows that the programme was able to create important learning around food systems transformation in a school setting and was perceived as a relevant route to Education for Sustainable Development Goals (ESDG). In particular, the strong focus on science, technology, engineering and mathematics learning principles, project-based learning and the digital element was rated high. On the negative side, we found that teachers’ competencies are a crucial element and that a programme of this kind is time-consuming and needs the right type of external assistance if it was to be scaled up.", "keywords": [ "Transformation (genetics)", "Digital transformation", "Literacy", "Sociology", "Psychology", "Computer science", "Pedagogy", "World Wide Web", "Chemistry" ], "cited_by_openalex": 9, "cited_by_scopus": "6", "eid": "2-s2.0-85158103652", "pii": null, "open_access_url": "https://doi.org/10.1386/ijfd_00049_1", "sources": [ { "db": "openalex", "stream": "UAV", "query_id": "UAV-3" }, { "db": "scopus", "stream": "UAV", "query_id": "UAV-3" } ], "streams": [ "UAV" ], "relevance_signals": [ "UAV_NO_CTX" ], "auto_exclude_reason": "EC-4-topic", "screening_status": "auto_excluded", "screened_by": "auto-v1.0.0" }, { "id": "doi:10.1002/9781119818366.ch6", "doi": "10.1002/9781119818366.ch6", "title": "Sparse Vector Coding for Ultra‐reliable and Low‐latency Communications", "year": 2023, "authors": [ "Byonghyo Shim" ], "first_author": "Byonghyo Shim", "venue": "Ultra Reliable and Low Latency Communications Urllc Theory and Practice Advances in 5g and Beyond", "volume": null, "pages": "169-213", "type": "other", "language": "en", "abstract": "Ultra reliable and low latency communication (URLLC) is a new service category in 5G to support latency-sensitive applications such as autonomous driving, smart factory, remote surgery, drone-based delivery, to name just a few. In order to support this new service category, the 3rd Generation Partnership Project (3GPP) sets a stringent requirement that a packet should be delivered with 10 −5 packet error rate within 1ms transmission period. Since a large part of the URLLC information can be classified as the control, command type information, or sensing information, the amount of information to be delivered in these cases is pretty small, meaning that the current wireless transmission mechanism designed to maximize the coding gain by transmitting the capacity-achieving long codeblock is not efficient. An aim of this book chapter is to propose a new approach to support the short packet transmission, referred to as sparse vector coding (SVC). The key idea behind the proposed SVC technique is to transmit the information after the sparse vector transformation. By mapping the information into the position of nonzero elements and then transmitting it after random spreading, we obtain an underdetermined sparse system for which the principle of compressed sensing can be applied. From the numerical evaluations and performance analysis, we demonstrate that the proposed SVC technique is very effective in URLLC transmission and outperforms the transmission schemes in the current cellular standard.", "keywords": [ "Computer science", "Network packet", "Computer network", "3rd Generation Partnership Project 2", "Transmission (telecommunications)", "Wireless broadband", "Coding (social sciences)", "Real-time computing", "Compressed sensing", "Wireless", "Algorithm", "Telecommunications" ], "cited_by_openalex": 4, "cited_by_scopus": "6", "eid": "2-s2.0-105000565586", "pii": null, "open_access_url": "https://onlinelibrary.wiley.com/doi/pdfdirect/10.1002/9781119818366.ch6", "sources": [ { "db": "openalex", "stream": "UAV", "query_id": "UAV-3" }, { "db": "scopus", "stream": "UAV", "query_id": "UAV-3" } ], "streams": [ "UAV" ], "relevance_signals": [ "UAV_NO_CTX" ], "auto_exclude_reason": "EC-4-topic", "screening_status": "auto_excluded", "screened_by": "auto-v1.0.0" }, { "id": "doi:10.1007/978-3-031-37111-0_23", "doi": "10.1007/978-3-031-37111-0_23", "title": "Freight Distribution in Urban Area: Estimating the Impact of Commercial Vehicles on Traffic Congestion", "year": 2023, "authors": [ "Musolino G." ], "first_author": "Musolino G.", "venue": "Lecture Notes in Computer Science Including Subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics", "volume": "14106 LNCS", "pages": "323-334", "type": "Conference Paper", "language": null, "abstract": null, "keywords": [], "cited_by_openalex": 0, "cited_by_scopus": "6", "eid": "2-s2.0-85164995244", "pii": null, "open_access_url": null, "sources": [ { "db": "scopus", "stream": "TRUCK", "query_id": "TRUCK-1" } ], "streams": [ "TRUCK" ], "relevance_signals": [ "NO_TECHNOLOGY_MATCH" ], "auto_exclude_reason": "EC-4-topic", "screening_status": "auto_excluded", "screened_by": "auto-v1.0.0" }, { "id": "doi:10.3969/j.issn.1002-0268.2023.07.030", "doi": "10.3969/j.issn.1002-0268.2023.07.030", "title": "Vehicle Routing Optimization under B2B Urban Distribution Mode Based on Improved Ant Colony Algorithm", "year": 2023, "authors": [ "Chen Z.X." ], "first_author": "Chen Z.X.", "venue": "Gonglu Jiaotong Keji Journal of Highway and Transportation Research and Development", "volume": "40", "pages": "231-238", "type": "Article", "language": null, "abstract": null, "keywords": [], "cited_by_openalex": 0, "cited_by_scopus": "6", "eid": "2-s2.0-85189373720", "pii": null, "open_access_url": null, "sources": [ { "db": "scopus", "stream": "TRUCK", "query_id": "TRUCK-2" } ], "streams": [ "TRUCK" ], "relevance_signals": [ "NO_TECHNOLOGY_MATCH" ], "auto_exclude_reason": "EC-4-topic", "screening_status": "auto_excluded", "screened_by": "auto-v1.0.0" }, { "id": "doi:10.6381/j.cnki.issn1003-207x.2022.0367", "doi": "10.6381/j.cnki.issn1003-207x.2022.0367", "title": "Research on Routing Problem for Joint Delivery System Based on Multiple Trucks and Robots", "year": 2023, "authors": [ "Gao J.J." ], "first_author": "Gao J.J.", "venue": "Chinese Journal of Management Science", "volume": "31", "pages": "48-57", "type": "Article", "language": null, "abstract": null, "keywords": [], "cited_by_openalex": 0, "cited_by_scopus": "6", "eid": "2-s2.0-105048721571", "pii": null, "open_access_url": null, "sources": [ { "db": "scopus", "stream": "TRUCK", "query_id": "TRUCK-3" } ], "streams": [ "TRUCK" ], "relevance_signals": [ "TRUCK_NO_CTX" ], "auto_exclude_reason": "EC-4-topic", "screening_status": "auto_excluded", "screened_by": "auto-v1.0.0" }, { "id": "doi:10.1016/j.procs.2023.03.092", "doi": "10.1016/j.procs.2023.03.092", "title": "A freight asset choice model for agent-based simulation models", "year": 2023, "authors": [ "Zuniga-Garcia N." ], "first_author": "Zuniga-Garcia N.", "venue": "Procedia Computer Science", "volume": "220", "pages": "704-709", "type": "Conference Paper", "language": null, "abstract": null, "keywords": [], "cited_by_openalex": 0, "cited_by_scopus": "6", "eid": "2-s2.0-85164483471", "pii": "S1877050923006270", "open_access_url": null, "sources": [ { "db": "scopus", "stream": "TRUCK", "query_id": "TRUCK-3" } ], "streams": [ "TRUCK" ], "relevance_signals": [ "NO_TECHNOLOGY_MATCH" ], "auto_exclude_reason": "EC-4-topic", "screening_status": "auto_excluded", "screened_by": "auto-v1.0.0" }, { "id": "doi:10.1016/j.jairtraman.2022.102326", "doi": "10.1016/j.jairtraman.2022.102326", "title": "Identifying requirements for airborne-supplied city hubs", "year": 2023, "authors": [ "Roesing J." ], "first_author": "Roesing J.", "venue": "Journal of Air Transport Management", "volume": "107", "pages": null, "type": "Article", "language": null, "abstract": null, "keywords": [], "cited_by_openalex": 0, "cited_by_scopus": "6", "eid": "2-s2.0-85142305866", "pii": "S0969699722001454", "open_access_url": null, "sources": [ { "db": "scopus", "stream": "UAV", "query_id": "UAV-1" } ], "streams": [ "UAV" ], "relevance_signals": [ "NO_TECHNOLOGY_MATCH" ], "auto_exclude_reason": "EC-4-topic", "screening_status": "auto_excluded", "screened_by": "auto-v1.0.0" }, { "id": "doi:10.1109/tits.2023.3279391", "doi": "10.1109/tits.2023.3279391", "title": "Vessel Monitoring in Emission Control Areas: A Preliminary Exploration of Rental-Based Operations", "year": 2023, "authors": [ "Zuo T.Y." ], "first_author": "Zuo T.Y.", "venue": "IEEE Transactions on Intelligent Transportation Systems", "volume": "24", "pages": "10327-10344", "type": "Article", "language": null, "abstract": null, "keywords": [], "cited_by_openalex": 0, "cited_by_scopus": "6", "eid": "2-s2.0-85162718688", "pii": null, "open_access_url": null, "sources": [ { "db": "scopus", "stream": "UAV", "query_id": "UAV-2" } ], "streams": [ "UAV" ], "relevance_signals": [ "NO_TECHNOLOGY_MATCH" ], "auto_exclude_reason": "EC-4-topic", "screening_status": "auto_excluded", "screened_by": "auto-v1.0.0" }, { "id": "doi:10.3390/en16104109", "doi": "10.3390/en16104109", "title": "Energy Efficiency of AGV-Drone Joint In-Plant Supply of Production Lines", "year": 2023, "authors": [ "Bányai T." ], "first_author": "Bányai T.", "venue": "Energies", "volume": "16", "pages": null, "type": "Article", "language": null, "abstract": null, "keywords": [], "cited_by_openalex": 0, "cited_by_scopus": "6", "eid": "2-s2.0-85160648494", "pii": null, "open_access_url": null, "sources": [ { "db": "scopus", "stream": "UAV", "query_id": "UAV-2" } ], "streams": [ "UAV" ], "relevance_signals": [ "UAV_NO_CTX" ], "auto_exclude_reason": "EC-4-topic", "screening_status": "auto_excluded", "screened_by": "auto-v1.0.0" }, { "id": "doi:10.3390/su15021584", "doi": "10.3390/su15021584", "title": "Online Delivery Problem for Hybrid Truck–Drone System with Independent and Truck-Carried Drones", "year": 2023, "authors": [ "Gou M." ], "first_author": "Gou M.", "venue": "Sustainability Switzerland", "volume": "15", "pages": null, "type": "Article", "language": null, "abstract": null, "keywords": [], "cited_by_openalex": 0, "cited_by_scopus": "6", "eid": "2-s2.0-85146679431", "pii": null, "open_access_url": null, "sources": [ { "db": "scopus", "stream": "UAV", "query_id": "UAV-2" } ], "streams": [ "UAV" ], "relevance_signals": [ "UAV_NO_CTX", "TRUCK_NO_CTX" ], "auto_exclude_reason": "EC-4-topic", "screening_status": "auto_excluded", "screened_by": "auto-v1.0.0" }, { "id": "doi:10.1155/2023/1578273", "doi": "10.1155/2023/1578273", "title": "A Method to Reduce Route Discovery Cost of UAV Ad Hoc Network", "year": 2023, "authors": [ "Waqas A." ], "first_author": "Waqas A.", "venue": "International Journal of Distributed Sensor Networks", "volume": "2023", "pages": null, "type": "Article", "language": null, "abstract": null, "keywords": [], "cited_by_openalex": 0, "cited_by_scopus": "6", "eid": "2-s2.0-85191547790", "pii": null, "open_access_url": null, "sources": [ { "db": "scopus", "stream": "UAV", "query_id": "UAV-2" } ], "streams": [ "UAV" ], "relevance_signals": [ "UAV_NO_CTX" ], "auto_exclude_reason": "EC-4-topic", "screening_status": "auto_excluded", "screened_by": "auto-v1.0.0" }, { "id": "doi:10.1109/icccn58024.2023.10230089", "doi": "10.1109/icccn58024.2023.10230089", "title": "Environmentally-Aware Robotic Vehicle Networks Routing Computation for Last-mile Deliveries", "year": 2023, "authors": [ "Chengyi Qu", "Rounak Singh", "Sharan Srinivas", "Prasad P. Calyam" ], "first_author": "Chengyi Qu", "venue": "Proceedings International Conference on Computer Communications and Networks ICCCN", "volume": "2023-July", "pages": null, "type": "conference-paper", "language": "en", "abstract": "For next-generation logistics management, robotic vehicles such as autonomous ground robots and aerial drones can alleviate the strain on last-mile distribution. They can help avoid on-road congestion, navigate hard-to-reach locations, and parallelize delivery operations. However, as the robotic vehicles move in a given delivery area, environmental barriers e.g., trees or buildings, affect air-to-air (A2A), air-to-ground (A2G), ground-to-ground (G2G) network communications on a hybrid truck-drone-robot system. In this paper, we present an environmentally-aware cooperative network routing computation scheme to avoid obstacle blockage in A2A/A2G/G2G network communications for addressing large-scale coordinated operations of the hybrid truck-drone-robot system. Specifically, we propose an offline policy-based routing algorithm and two online extensions (i.e., heuristics and learning-based) to solve the hybrid last-mile delivery vehicles communication problem in order to trade-off between end-to-end communication (i.e., increase network throughput) and delivery efficiencies (i.e., lower parcel delivery time consumption). We evaluate our scheme using state-of-the-art network routing algorithms in a trace-based simulator that integrates both the vehicles and networking sides. Performance evaluation results from our simulations show that: (i) our offline approach is Pareto-optimal among non-learning supported algorithms in a pre-delivery scenario, and (ii) our RL-based online algorithm achieves between 85–96 % of the Oracle strategy performance during delivery procedures.", "keywords": [ "Computer science", "Drone", "Heuristics", "Throughput", "Truck", "Routing (electronic design automation)", "Last mile (transportation)", "Robot", "Vehicle routing problem", "Computation offloading", "Real-time computing", "Distributed computing" ], "cited_by_openalex": 3, "cited_by_scopus": "5", "eid": "2-s2.0-85173588317", "pii": null, "open_access_url": "https://doi.org/10.1109/icccn58024.2023.10230089", "sources": [ { "db": "openalex", "stream": "TRUCK", "query_id": "TRUCK-1" }, { "db": "openalex", "stream": "UAV", "query_id": "UAV-1" }, { "db": "scopus", "stream": "TRUCK", "query_id": "TRUCK-1" }, { "db": "scopus", "stream": "UAV", "query_id": "UAV-1" } ], "streams": [ "TRUCK", "UAV" ], "relevance_signals": [ "UAV", "TRUCK" ], "auto_exclude_reason": null, "screening_status": "pending_human_screening", "screened_by": "auto-v1.0.0" }, { "id": "doi:10.1080/03081060.2023.2287138", "doi": "10.1080/03081060.2023.2287138", "title": "Estimating potential adoption rate of electric vehicles in urban logistics", "year": 2023, "authors": [ "Şükrü İmre", "Dilay Çelebi", "Umut Asan" ], "first_author": "Şükrü İmre", "venue": "Transportation Planning and Technology", "volume": "47", "pages": "370-399", "type": "article", "language": "en", "abstract": "This research presents an analytical analysis of the factors related to the preference for using electric vehicles, aimed at estimating their potential adoption in urban freight transport. We employed choice modeling to assess the trade-offs among various attributes associated with Electric Freight Vehicles (EFVs) and predicted the probabilities of EFV adoption within urban freight fleets. This estimation is based on an industry survey and real delivery data from a retail firm. Our findings indicate that electric vehicles could be utilized in approximately 32% of the deliveries for the case company. This, in turn, corresponds to a notable 26% reduction in CO2 emissions resulting from delivery operations. Furthermore, our model enabled us to expand the scope of our analysis to the city level, using Istanbul as a specific example. Our illustration demonstrates that, under the current circumstances, electric vehicles have the potential to account for roughly 25% of all deliveries in Istanbul.", "keywords": [ "City logistics", "Scope (computer science)", "Transport engineering", "Preference", "Survey data collection", "Business", "Survey methodology", "Engineering", "Computer science", "Economics" ], "cited_by_openalex": 7, "cited_by_scopus": "5", "eid": "2-s2.0-85178182481", "pii": null, "open_access_url": "https://doi.org/10.1080/03081060.2023.2287138", "sources": [ { "db": "openalex", "stream": "TRUCK", "query_id": "TRUCK-1" }, { "db": "scopus", "stream": "TRUCK", "query_id": "TRUCK-1" } ], "streams": [ "TRUCK" ], "relevance_signals": [ "TRUCK" ], "auto_exclude_reason": null, "screening_status": "pending_human_screening", "screened_by": "auto-v1.0.0" }, { "id": "doi:10.1016/j.trpro.2023.11.645", "doi": "10.1016/j.trpro.2023.11.645", "title": "Modelling shared logistics resources in loosely coupled software architectures", "year": 2023, "authors": [ "Florian Peters", "Sabine Limbourg" ], "first_author": "Florian Peters", "venue": "Transportation research procedia", "volume": "72", "pages": "1715-1722", "type": "article", "language": "en", "abstract": "This research is part of the City Line project, a collaborative initiative within Belgium aiming to promote collaboration between various logistics operators, from cargo bikes to trucks, while ensuring low emissions for last-mile deliveries in cities. The objective is to integrate all relevant information regarding shared assets into a digital collaborative logistics platform managed by a third-party logistics provider acting as a central decision-maker coordinating transportation activities. First, we describe how the digital platform receives the services offered by the logistics operators and the delivery requests. Then, we propose an incremental method to assign the transport demand to the best route according to environmental and economic factors.", "keywords": [ "Truck", "Transport engineering", "Last mile (transportation)", "City logistics", "Business", "Software", "Computer science", "Integrated logistics support", "Process management", "Mile", "Engineering" ], "cited_by_openalex": 5, "cited_by_scopus": "5", "eid": "2-s2.0-85182943153", "pii": "S2352146523009432", "open_access_url": "https://doi.org/10.1016/j.trpro.2023.11.645", "sources": [ { "db": "openalex", "stream": "TRUCK", "query_id": "TRUCK-1" }, { "db": "scopus", "stream": "TRUCK", "query_id": "TRUCK-1" } ], "streams": [ "TRUCK" ], "relevance_signals": [ "TRUCK" ], "auto_exclude_reason": null, "screening_status": "pending_human_screening", "screened_by": "auto-v1.0.0" }, { "id": "doi:10.1007/978-3-031-09753-9_23", "doi": "10.1007/978-3-031-09753-9_23", "title": "Effects of Variable UAV Speed on Optimization of Travelling Salesman Problem with Drone (TSP-D)", "year": 2023, "authors": [ "Enes Cengiz", "Cemal Yılmaz", "Hamdi Tolga Kahraman", "Çağri Suiçmez" ], "first_author": "Enes Cengiz", "venue": "Engineering cyber-physical systems and critical infrastructures", "volume": null, "pages": null, "type": "conference-paper", "language": "en", "abstract": null, "keywords": [ "Travelling salesman problem", "Drone", "Truck", "Computer science", "Real-time computing", "Routing (electronic design automation)", "Simulation", "Automotive engineering", "Engineering", "Computer network" ], "cited_by_openalex": 5, "cited_by_scopus": 0, "eid": null, "pii": null, "open_access_url": "https://doi.org/10.1007/978-3-031-09753-9_23", "sources": [ { "db": "openalex", "stream": "TRUCK", "query_id": "TRUCK-1" }, { "db": "openalex", "stream": "UAV", "query_id": "UAV-1" } ], "streams": [ "TRUCK", "UAV" ], "relevance_signals": [ "UAV_NO_CTX", "TRUCK_NO_CTX" ], "auto_exclude_reason": "EC-4-topic", "screening_status": "auto_excluded", "screened_by": "auto-v1.0.0" }, { "id": "doi:10.54941/ahfe1003607", "doi": "10.54941/ahfe1003607", "title": "Logistics future trends and their transformative impact", "year": 2023, "authors": [ "Armindo Frias", "Mário J. Simões-Marques", "Pedro B. Água", "Anacleto C. Correia" ], "first_author": "Armindo Frias", "venue": "AHFE international", "volume": null, "pages": null, "type": "conference-paper", "language": "en", "abstract": "Autonomous vehicles, Artificial Intelligence (AI), IoT, drones, 3D Printing, green fuels or sustainable practices are presented as the Holy Grail for the logistics of the future. But, what are the implications of their adoption in people’s lives and in the society?The dynamism of knowledge creation and the adoption of new methodologies and technologies are increasing. Contrary to what happened in the past, there are no longer periods of stability after the emergence of new technologies, preventing societies to smoothly adapt to the new reality. Periods of change and uncertainty usually end up affecting people’s living conditions - e.g. the early days of the industrial revolution. Thus, it will be relevant to identify the new trends in logistics and their impacts on people. Anticipating potential problems, allows for mitigating measures.More agile organizations represents a competitive advantage in responding to environments of uncertainty and greater customer customization requirement, but may imply less job stability, making people nomadic. The globalization of markets and the existence of even longer supply chains, dependent on effective and efficient transportation and communication technologies, increase the risk of supply disruption being exposed both to natural and anthropogenic causes (such as ideological, cultural or resource conflicts), with economic and social consequences. Recent examples are the COVID-19 Pandemics, the cyberattack to Maersk shipping company, the grounding of the Evergreen container, in the Suez Canal, in 2021, or the current war in Ukraine. On the other hand, technological evolution has increased the automation and autonomy of systems and boosted the reduction of human involvement. The development of AI and IoT allows, among other impacts, the use of drones to perform last mile deliveries or the existence of autonomous vehicles, being ships, planes or trucks, to carry out long-haul transport. Their adoption allows cost reduction, but also anticipates the reduction of jobs. It is recognized that new technologies themselves create new jobs; but the pertinent doubt is if they will compensate for the lost jobs? The existence of more sustainable activities (e.g., environmentally friendly), while respecting ethical and social principles, brings better living conditions for current and future generations. However, it can be conflicting with the existing long supply chains or imply lower process efficiency, leading to increased costs for customers.The aim of this work is to systematize the main future trends in logistics, assessing possible impacts that these trends can have on the daily life of individuals and society. To achieve this objective, a literature review will be carried out and the opinion of professionals will be surveyed. The expected contributions of this work are to systemize of the main logistics’ future trends and helping to anticipate the human factor consequences arising from its adoption. As a result of this work, subsequent mitigating measures to avoid negative impacts on people’s lives and society can be identify, leading to a smoother and more sustainable change process, in line with the principles of green and circular economy, and the targets of UN SDG.", "keywords": [ "Dynamism", "Business", "Agile software development", "Autonomy", "Emerging technologies", "Industrial organization", "Computer science", "Economics", "Political science", "Management" ], "cited_by_openalex": 5, "cited_by_scopus": 0, "eid": null, "pii": null, "open_access_url": "https://doi.org/10.54941/ahfe1003607", "sources": [ { "db": "openalex", "stream": "TRUCK", "query_id": "TRUCK-1" }, { "db": "openalex", "stream": "UAV", "query_id": "UAV-1" } ], "streams": [ "TRUCK", "UAV" ], "relevance_signals": [ "UAV", "TRUCK" ], "auto_exclude_reason": null, "screening_status": "pending_human_screening", "screened_by": "auto-v1.0.0" }, { "id": "doi:10.1002/joom.1233", "doi": "10.1002/joom.1233", "title": "Introduction to the special issue on mobility, climate change, and economic inequality", "year": 2023, "authors": [ "Merieke Stevens" ], "first_author": "Merieke Stevens", "venue": "Journal of Operations Management", "volume": null, "pages": null, "type": "editorial", "language": "en", "abstract": "Operations Management (OM) is at the heart of two global sustainability objectives in the 21st century: to reduce the negative impact of operations and supply chains on the climate, and to improve access to good jobs, in order to address growing income inequality. Nowhere is this more evident than in the mobility sector. Mobility and transportation systems are key producers of greenhouse gas emissions and pollution. They are also vital providers of employment and access to work and have been fundamental to global economic growth. Addressing climate change is one of the most urgent tasks facing society. Research by the World Economic Forum (WEF, 2019) identified extreme weather events and the failure of climate change mitigation and adaptation as potentially the two most severe impacts on the world. Failure to address climate change may result in insurmountable costs to our social and economic structures. Meanwhile, advances in technology, such as automation, have drastically increased efficiency while reducing the cost of transportation. As a result, motorized movement continues to increase globally (IEA, 2021). Transport accounts for 37% of carbon emissions from end-use sectors (IEA, 2021). And while lockdowns during the COVID-19 pandemic reduced the demand for transportation in 2020, by 2021 emissions were back on their pre-pandemic growth track. To reverse the alarming growth in carbon intensity of mobility systems, shifts in transportation modes as well as operational and technical energy efficiency improvements are required (IEA, 2021). Transportation and vehicle production systems are woven into the fabric of global and local economies, and in many places have been a significant source of middle-class jobs such as trucking, auto assembly, and bus driving. Moreover, the mobility provided by our transportation systems has an important effect on patterns of land use, resource consumption, and access to jobs. To ensure broad participation in achieving climate goals, good jobs must be retained, and the trend of widening income inequality reversed. Without concerted efforts of practitioners, policymakers, and researchers, it is unlikely that climate and social goals will be achieved. Mobility and transportation systems have long been a core setting of OM research. Most studies in this area have focused on traditional outcomes such as quality, cost, and delivery (QCD)—in line with the historical focus of most firms. Supply chain participants used their market power to extract concessions from other participants. Inevitably linked with intense competition are uncoordinated management, bottlenecks, and information deficits and asymmetries, all of which characterize global transportation systems. Added to this are a complex mix of public and private actors, diverse and variable customer needs, and overlapping and at times conflicting regulatory regimes. The result is a system that is vulnerable to disruptions and damaging to social and environmental structures. Whether Lean—based on the Toyota production system and just-in-time principles—and its many interpretations contributed to this state of mobility and vehicle production systems is discussed elsewhere (e.g., Browning & de Treville, 2021; de Treville & Antonakis, 2006; MacDuffie, 1995; Schonberger, 2007). Important here is that the precedence of short-term calculations over long-term thinking about climate and social externalities resulted in an unsustainable system. Addressing this is in line with the call to broaden the focus of OM research to include value for all stakeholders affected by operational processes (Browning & de Treville, 2021; Gray et al., 2020). OM scholars are well-positioned to support this move (Pagell & Shevchenko, 2014). One way is to reconsider the traditional idea that sustainability and sound business practices are separate phenomena that need to be balanced (e.g., Wu & Pagell, 2011). Current global challenges raise the question of whether business practices can ever be considered “sound” if their social and environmental impacts are negative. Mobility and transportation systems provide a useful setting to demonstrate the need for expanding the objectives, stakeholders, and research methodologies included in OM research. They are mature industries and among the first to be affected by four global phenomena that require a widening of scope: regulatory attention, supply chain globalization, disruptive technological innovation, and a shift from ownership to usership. Regulatory attention dates back to the beginning of the industry, which is unsurprising considering the impact of mobility and transportation systems on public space and economic life. Due to its negative environmental impact, it has also been a key subject of climate regulations since the 1970s. This long-term pattern of regulatory involvement has only been reinforced by recent trends. Increasing attention to climate change resulted in more stringent environmental regulations in most developed economies. Moreover, to address growing inequality, the European Commission in February 2022 set the first steps in addressing global working conditions by presenting a directive for “corporate sustainability due diligence” (EU, 2022). Its goal is to make all companies based or operating in the European Union, except SMEs, responsible for the “effective protection of human rights included in international conventions” of those who work in their global supply chains. Public policymakers still grapple to address some recent trends, such as autonomous driving and the prominent presence of shared mobility solutions in public space. OM scholars have been encouraged to actively contribute to public policy (Helper et al., 2021), and mobility and transportation systems are settings that would benefit from this attention. Supply chain globalization is another phenomenon that has historically been tied to mobility and transportation systems (Cohen & Mallik, 1997). Effici", "keywords": [ "Greenhouse gas", "Climate change", "Sustainability", "Business", "Natural resource economics", "Extreme weather", "Work (physics)", "Green growth", "Sustainable development", "Environmental economics", "Economics", "Engineering" ], "cited_by_openalex": 5, "cited_by_scopus": 0, "eid": null, "pii": null, "open_access_url": "https://onlinelibrary.wiley.com/doi/pdfdirect/10.1002/joom.1233", "sources": [ { "db": "openalex", "stream": "TRUCK", "query_id": "TRUCK-1" } ], "streams": [ "TRUCK" ], "relevance_signals": [ "NO_TECHNOLOGY_MATCH" ], "auto_exclude_reason": "EC-4-topic", "screening_status": "auto_excluded", "screened_by": "auto-v1.0.0" }, { "id": "doi:10.1049/rpg2.12845", "doi": "10.1049/rpg2.12845", "title": "A two‐stage scheduling model for urban distribution network resilience enhancement in ice storms", "year": 2023, "authors": [ "Yuheng Zhao", "Can Wan", "Chong Bo Wang", "Naiyu Wang", "Ruilong Deng", "Binbin Li" ], "first_author": "Yuheng Zhao", "venue": "IET Renewable Power Generation", "volume": "18", "pages": "1149-1163", "type": "article", "language": "en", "abstract": "Abstract This paper proposes a two‐stage stochastic scheduling model for urban distribution network resilience enhancement against ice storms, which coordinates mobile deicing equipment routing and distributed energy resources dispatching. An improved line ice thickness prediction model and a photovoltaic power generation prediction method in accordance with conditional generative adversarial networks are proposed to provide data boundaries for scheduling strategy. Facing the uncertainty of line failure, a two‐stage scenario‐based distribution network optimization model is established. At first stage, the mobile deicing equipment routing strategy is decided to mitigate the impact caused by ice storms. The Monte‐Carlo simulation method is introduced to describe the uncertainty of line failure due to ice acceleration. For the second stage, based on the results of photovoltaic forecasting and possible distribution line failure scenario generated by Monte‐Carlo simulation method, the optimal distributed energy resources dispatching strategy can be obtained through the mixed integer programming. The proposed model is simplified to a mixed integer linear programming model that can be solved by a commercial solver. The test results on the modified IEEE 33‐node system and modified 69‐node system demonstrate that the proposed method can effectively improve the resilience performance of urban distribution network under ice storms.", "keywords": [ "Computer science", "Scheduling (production processes)", "Integer programming", "Solver", "Monte Carlo method", "Mathematical optimization", "Distributed computing", "Algorithm", "Mathematics" ], "cited_by_openalex": 6, "cited_by_scopus": "5", "eid": "2-s2.0-85178422374", "pii": null, "open_access_url": "https://onlinelibrary.wiley.com/doi/pdfdirect/10.1049/rpg2.12845", "sources": [ { "db": "openalex", "stream": "TRUCK", "query_id": "TRUCK-2" }, { "db": "scopus", "stream": "TRUCK", "query_id": "TRUCK-2" } ], "streams": [ "TRUCK" ], "relevance_signals": [ "NO_TECHNOLOGY_MATCH" ], "auto_exclude_reason": "EC-4-topic", "screening_status": "auto_excluded", "screened_by": "auto-v1.0.0" }, { "id": "doi:10.1016/j.retrec.2023.101352", "doi": "10.1016/j.retrec.2023.101352", "title": "Carrier-provided freight data for improved sustainable urban mobility planning", "year": 2023, "authors": [ "Johanne Lægran", "Kelly Pitera", "Trude Tørset" ], "first_author": "Johanne Lægran", "venue": "Research in Transportation Economics", "volume": "102", "pages": null, "type": "article", "language": "en", "abstract": "Urban freight transport is expected to increase in volume and share of motorized traffic in cities. Simultaneously, stakeholders responsible for urban development lack access to detailed data on urban freight transport. Private freight actors, i.e., carriers, collect data as part of their operations, which could potentially meet the data needs within public planning. This paper explores the possibilities of exploiting such data for improved urban mobility planning through semi-structured interviews with carriers and planners. The results show that carriers are willing to share delivery data under certain conditions and even mention benefits for their own operations if such sharing leads to more informed freight planning. Furthermore, sample data provided by carriers was explored and largely proved to contain core information on carrier movements to meet the needs of the planners. However, data on vehicles and routing was lacking. As a next step, it is suggested that a public authority initiate the collection and use of carrier-provided data to maintain trust amongst stakeholders. Additionally, efficient ways of collecting and interpreting the data must be developed to obtain consistent, useable, high-quality data for sustainable urban mobility planning.", "keywords": [ "Transportation planning", "Business", "Transport engineering", "Data collection", "Quality (philosophy)", "Sustainable transport", "Sample (material)", "Urban planning", "Data quality", "Public transport", "Routing (electronic design automation)", "Computer science" ], "cited_by_openalex": 6, "cited_by_scopus": "5", "eid": "2-s2.0-85171522931", "pii": "S0739885923000926", "open_access_url": "https://doi.org/10.1016/j.retrec.2023.101352", "sources": [ { "db": "openalex", "stream": "TRUCK", "query_id": "TRUCK-2" }, { "db": "scopus", "stream": "TRUCK", "query_id": "TRUCK-2" } ], "streams": [ "TRUCK" ], "relevance_signals": [ "NO_TECHNOLOGY_MATCH" ], "auto_exclude_reason": "EC-4-topic", "screening_status": "auto_excluded", "screened_by": "auto-v1.0.0" }, { "id": "doi:10.1007/s12351-023-00762-0", "doi": "10.1007/s12351-023-00762-0", "title": "A multi-stage stochastic model for designing a linked cross-docking distribution network with heterogeneous trucks", "year": 2023, "authors": [ "Saeid Nasrollahi", "Hasan Hosseini-Nasab", "Mohammad Bagher Fakhrzad", "Mahboobeh Honarvar" ], "first_author": "Saeid Nasrollahi", "venue": "Operational Research", "volume": "23", "pages": null, "type": "article", "language": "en", "abstract": null, "keywords": [ "Truck", "Supply chain network", "Computer science", "Supply chain", "Economic shortage", "Network planning and design", "Computational intelligence", "Mathematical optimization", "Operations research", "Supply chain management", "Engineering", "Mathematics" ], "cited_by_openalex": 5, "cited_by_scopus": "5", "eid": "2-s2.0-85149014213", "pii": null, "open_access_url": "https://doi.org/10.1007/s12351-023-00762-0", "sources": [ { "db": "openalex", "stream": "TRUCK", "query_id": "TRUCK-3" }, { "db": "scopus", "stream": "TRUCK", "query_id": "TRUCK-3" } ], "streams": [ "TRUCK" ], "relevance_signals": [ "TRUCK_NO_CTX" ], "auto_exclude_reason": "EC-4-topic", "screening_status": "auto_excluded", "screened_by": "auto-v1.0.0" }, { "id": "doi:10.1109/itsc57777.2023.10422505", "doi": "10.1109/itsc57777.2023.10422505", "title": "Electric Vehicle-Drone Routing Problem with Optional Drone Availability", "year": 2023, "authors": [ "Setyo Tri Windras Mara", "Ruhul Amin Sarker", "Daryl Essam", "Saber Mohammed Elsayed" ], "first_author": "Setyo Tri Windras Mara", "venue": "IEEE Conference on Intelligent Transportation Systems Proceedings ITSC", "volume": null, "pages": "827-832", "type": "conference-paper", "language": "en", "abstract": "This paper considers a last-mile distribution system consisting of a fleet of electric vehicles, where each vehicle has the option to be equipped with a single drone. We formulate the system as a mixed-fleet electric vehicle-drone routing problem, with the objective of minimizing the total cost of the system. Subsequently, an adaptive memetic algorithm with a Q-learning-based operator selection mechanism is employed to solve the model. A set of extensive numerical experiments show that the proposed algorithm performs better than the state-of-the-art approaches. Further, we also demonstrate the importance of economies of scale in drone-aided routing problems.", "keywords": [ "Drone", "Computer science", "Routing (electronic design automation)", "Aeronautics", "Computer network", "Engineering" ], "cited_by_openalex": 3, "cited_by_scopus": "5", "eid": "2-s2.0-85186525200", "pii": null, "open_access_url": "https://doi.org/10.1109/itsc57777.2023.10422505", "sources": [ { "db": "openalex", "stream": "UAV", "query_id": "UAV-1" }, { "db": "openalex", "stream": "UAV", "query_id": "UAV-2" }, { "db": "scopus", "stream": "UAV", "query_id": "UAV-1" }, { "db": "scopus", "stream": "UAV", "query_id": "UAV-2" } ], "streams": [ "UAV" ], "relevance_signals": [ "UAV" ], "auto_exclude_reason": null, "screening_status": "pending_human_screening", "screened_by": "auto-v1.0.0" }, { "id": "doi:10.3390/wevj14120354", "doi": "10.3390/wevj14120354", "title": "A GRASP Approach for the Energy-Minimizing Electric Vehicle Routing Problem with Drones", "year": 2023, "authors": [ "Nikolaos A. Kyriakakis", "Themistoklis Stamadianos", "Magdalene Marinaki", "Yannis Marinakis" ], "first_author": "Nikolaos A. Kyriakakis", "venue": "World Electric Vehicle Journal", "volume": "14", "pages": null, "type": "article", "language": "en", "abstract": "This study addresses the Electric Vehicle Routing Problem with Drones (EVRPD) by implementing and comparing two variants of the Greedy Randomized Adaptive Search Procedure (GRASP). The primary objective of the EVRPD is to optimize the routing of a combined fleet of ground and aerial vehicles, with the aim of improving delivery efficiency and minimizing energy consumption, which is directly influenced by the weight of the packages. The study assumes a standardized packing system consisting of three weight classes, where deliveries are exclusively performed by drones, while ground vehicles function as mobile depots. The two employed GRASP variants vary in their methods of generating the Restricted Candidate List (RCL), with one utilizing a cardinality-based RCL and the other adopting a value-based RCL. To evaluate their performance, benchmark instances from the existing EVRPD literature are utilized, extensive computational experiments are conducted, and the obtained computational results are compared and discussed. The findings of the research highlight the considerable impact of RCL generation strategies on solution quality. Lastly, the study reports four new best-known values.", "keywords": [ "GRASP", "Benchmark (surveying)", "Vehicle routing problem", "Computer science", "Greedy randomized adaptive search procedure", "Drone", "Mathematical optimization", "Routing (electronic design automation)", "Cardinality (data modeling)", "Energy consumption", "Energy (signal processing)", "Operations research" ], "cited_by_openalex": 7, "cited_by_scopus": "5", "eid": "2-s2.0-85180673299", "pii": null, "open_access_url": "https://www.mdpi.com/2032-6653/14/12/354/pdf?version=1702893267", "sources": [ { "db": "openalex", "stream": "UAV", "query_id": "UAV-2" }, { "db": "scopus", "stream": "UAV", "query_id": "UAV-2" } ], "streams": [ "UAV" ], "relevance_signals": [ "UAV_NO_CTX" ], "auto_exclude_reason": "EC-4-topic", "screening_status": "auto_excluded", "screened_by": "auto-v1.0.0" }, { "id": "doi:10.5267/j.ijiec.2023.9.011", "doi": "10.5267/j.ijiec.2023.9.011", "title": "Heterogeneous multi-drone and helicopter routing problem for reconnaissance", "year": 2023, "authors": [ "Peixin Zhao", "Xiaoyue Zeng", "Chenchen Du" ], "first_author": "Peixin Zhao", "venue": "International Journal of Industrial Engineering Computations", "volume": "15", "pages": "255-276", "type": "article", "language": "en", "abstract": "Helicopters and drones are widely used in military and post-disaster reconnaissance. But less attention has been paid to collaborative reconnaissance between the two, especially when drones can be launched and retrieved multiple times. We propose a synchronous routing problem of helicopter and heterogeneous multi-drone for reconnaissance, which is a new variant of the orienteering problem (OP), where the drones can visit multiple mission nodes and can reconnoiter the retrieval nodes in a single trip, with the goal of maximizing the information collected. The problem is formulated as a mixed integer linear programming (MILP) model, and then an adaptive simulated annealing algorithm (A-SA) is designed to solve the problem. Specifically, a universal high-efficiency heuristics solution evaluation method based on segment sorting is proposed. The time complexity of this method is O(n). The numerical experiments illustrate the accuracy and efficiency of the algorithm. The results also show that allowing the drones to conduct reconnaissance on the retrieval nodes can positively impact the solution.", "keywords": [ "Drone", "Heuristics", "Computer science", "Orienteering", "Routing (electronic design automation)", "Simulated annealing", "Integer programming", "Linear programming", "Sorting", "Mathematical optimization", "Real-time computing", "Operations research" ], "cited_by_openalex": 4, "cited_by_scopus": "5", "eid": "2-s2.0-85180642957", "pii": null, "open_access_url": "https://doi.org/10.5267/j.ijiec.2023.9.011", "sources": [ { "db": "openalex", "stream": "UAV", "query_id": "UAV-2" }, { "db": "scopus", "stream": "UAV", "query_id": "UAV-2" } ], "streams": [ "UAV" ], "relevance_signals": [ "UAV_NO_CTX" ], "auto_exclude_reason": "EC-4-topic", "screening_status": "auto_excluded", "screened_by": "auto-v1.0.0" }, { "id": "doi:10.1007/s11590-023-02013-9", "doi": "10.1007/s11590-023-02013-9", "title": "A two-phase multi-objective metaheuristic for a green UAV grid routing problem", "year": 2023, "authors": [ "Elias L. Marques", "Vitor N. Coelho", "Igor Machado Coelho", "Luiz Satoru Ochi", "Nelson Maculan", "Nenad Mladenović", "Bruno N. Coelho" ], "first_author": "Elias L. Marques", "venue": "Optimization Letters", "volume": "17", "pages": "2233-2256", "type": "article", "language": "en", "abstract": null, "keywords": [ "Computer science", "Grid", "Grid reference", "Mathematical optimization", "Preprocessor", "Routing (electronic design automation)", "Metaheuristic", "Interface (matter)", "Point (geometry)", "Heuristic", "Algorithm", "Artificial intelligence" ], "cited_by_openalex": 7, "cited_by_scopus": "5", "eid": "2-s2.0-85159393321", "pii": null, "open_access_url": "https://doi.org/10.1007/s11590-023-02013-9", "sources": [ { "db": "openalex", "stream": "UAV", "query_id": "UAV-2" }, { "db": "scopus", "stream": "UAV", "query_id": "UAV-2" } ], "streams": [ "UAV" ], "relevance_signals": [ "UAV_NO_CTX" ], "auto_exclude_reason": "EC-4-topic", "screening_status": "auto_excluded", "screened_by": "auto-v1.0.0" }, { "id": "doi:10.1007/978-3-031-25844-2_5", "doi": "10.1007/978-3-031-25844-2_5", "title": "Proactive-Reactive Approach to Disruption-Driven UAV Routing Problem", "year": 2023, "authors": [ "Grzegorz Radzki", "Grzegorz Bocewicz", "Zbigniew Antoni Banaszak" ], "first_author": "Grzegorz Radzki", "venue": "Lecture notes in networks and systems", "volume": "630 LNNS", "pages": "51-61", "type": "conference-paper", "language": "en", "abstract": null, "keywords": [ "Computer science", "Work (physics)", "Route planning", "Order (exchange)", "Operations research", "Engineering", "Transport engineering", "Business" ], "cited_by_openalex": 5, "cited_by_scopus": "5", "eid": "2-s2.0-85148030946", "pii": null, "open_access_url": "https://doi.org/10.1007/978-3-031-25844-2_5", "sources": [ { "db": "openalex", "stream": "UAV", "query_id": "UAV-2" }, { "db": "scopus", "stream": "UAV", "query_id": "UAV-2" } ], "streams": [ "UAV" ], "relevance_signals": [ "UAV_NO_CTX" ], "auto_exclude_reason": "EC-4-topic", "screening_status": "auto_excluded", "screened_by": "auto-v1.0.0" }, { "id": "doi:10.1109/icra48891.2023.10160821", "doi": "10.1109/icra48891.2023.10160821", "title": "Noise and Environmental Justice in Drone Fleet Delivery Paths: A Simulation-Based Audit and Algorithm for Fairer Impact Distribution", "year": 2023, "authors": [ "Zewei Zhou", "Martim Brandão" ], "first_author": "Zewei Zhou", "venue": null, "volume": null, "pages": null, "type": "conference-paper", "language": "en", "abstract": "Despite the growing interest in the use of drone fleets for delivery of food and parcels, the negative impact of such technology is still poorly understood. In this paper we investigate the impact of such fleets in terms of noise pollution and environmental justice. We use simulation with real population data to analyze the spatial distribution of noise, and find that: 1) noise increases rapidly with fleet size; and 2) drone fleets can produce noise hotspots that extend far beyond warehouses or charging stations, at levels that lead to annoyance and interference of human activities. This, we will show, leads to concerns of fairness of noise distribution. We then propose an algorithm that successfully balances the spatial distribution of noise across the city, and discuss the limitations of such purely technical approaches. We complement the work with a discussion of environmental justice, showing how careless UAV fleet development and regulation can lead to reinforcing well-being deficiencies of poor and marginalized communities.", "keywords": [ "Drone", "Noise pollution", "Noise (video)", "Computer science", "Distribution (mathematics)", "Audit", "Complement (music)", "Algorithm", "Operations research", "Noise reduction", "Business", "Engineering" ], "cited_by_openalex": 5, "cited_by_scopus": 0, "eid": null, "pii": null, "open_access_url": "https://doi.org/10.1109/icra48891.2023.10160821", "sources": [ { "db": "openalex", "stream": "UAV", "query_id": "UAV-2" } ], "streams": [ "UAV" ], "relevance_signals": [ "UAV_NO_CTX" ], "auto_exclude_reason": "EC-4-topic", "screening_status": "auto_excluded", "screened_by": "auto-v1.0.0" }, { "id": "doi:10.1109/iccc57788.2023.10233540", "doi": "10.1109/iccc57788.2023.10233540", "title": "A Dynamic and Local Perspective: A Reliable Q-Routing Protocol based on Fuzzy Logic for FANETs", "year": 2023, "authors": [ "Penghui Hu", "Jianwen Wang", "Yirui Huang", "Yan Ma", "Cunzhuo Zhao", "Chaofan He" ], "first_author": "Penghui Hu", "venue": "2023 IEEE Cic International Conference on Communications in China Iccc 2023", "volume": null, "pages": null, "type": "conference-paper", "language": "en", "abstract": "Flying Ad-hoc Networks (FANETs) have found extensive applications in various fields, such as agriculture, security, rescue operations, and military or civilian operations. However, ensuring reliable routing and energy efficiency remains a critical challenge in FANETs due to the high mobility of drones and limited wireless resources. This paper investigates a general routing problem, specifically how battery-limited UAVs can route data reliably over multiple hops using only local information. We propose a multi-hop exploration model based on the local time-varying graph. We highlight the diminishing information freshness during hop-by-hop exploration, which limits the perceived validity of the network topology. This limitation often leads to unstable transmission when making routing decisions. To maximize routing reliability in long-term exploration, we formulate an appropriate optimization problem. Additionally, we introduce reinforcement learning and fuzzy logic into the routing protocol design, named FQR. To evaluate the quality of wireless links using a lightweight solution, we employ a fuzzy logic approach that considers multiple metrics, including relative mobility, resident energy, and link quality, as reliability features. We enhance the exploration process by incorporating information from two-hop neighbors in the reward definition. Furthermore, we design a variable discount factor to differentiate the validity of different local links. The proposed method is evaluated through simulations in NS3, utilizing an actual UAV trajectory model. The results demonstrate that our approach outperforms traditional strategies regarding packet delivery ratio, end-to-end delay, and network lifetime.", "keywords": [ "Computer science", "Routing protocol", "Computer network", "Network packet", "Reliability (semiconductor)", "Fuzzy logic", "Distributed computing", "Artificial intelligence" ], "cited_by_openalex": 3, "cited_by_scopus": "5", "eid": "2-s2.0-85173012525", "pii": null, "open_access_url": "https://doi.org/10.1109/iccc57788.2023.10233540", "sources": [ { "db": "openalex", "stream": "UAV", "query_id": "UAV-2" }, { "db": "scopus", "stream": "UAV", "query_id": "UAV-2" } ], "streams": [ "UAV" ], "relevance_signals": [ "UAV_NO_CTX" ], "auto_exclude_reason": "EC-4-topic", "screening_status": "auto_excluded", "screened_by": "auto-v1.0.0" }, { "id": "doi:10.2172/2203520", "doi": "10.2172/2203520", "title": "Federal Aviation Administration Vertiport Electrical Infrastructure Study", "year": 2023, "authors": [ "Bharatkumar V. Solanki", "US Federal Aviation Administration (FAA)", "USDOE Office of Energy Efficiency and Renewable Energy (EERE)", "Peyton Sanders", "Eric S. Miller", "Priti Paudyal", "Bhavesh A. Rathod", "Sherin Ann Abraham", "Michael Young", "André Fernandes Tomon Avelino", "Harsha Vardhana Padullaparti", "Scott Cary", "Chris Hallock", "Kristi Moriarty", "Grant Ellwood", "Jayaraj Rane", "Francisco Flores-Espino", "Jayaraj Rane", "T. Markel", "Anuj Sanghvi" ], "first_author": "Bharatkumar V. Solanki", "venue": null, "volume": null, "pages": null, "type": "report", "language": "en", "abstract": "In this detailed analysis, the authors assess the charging infrastructure needed for the deployment of advanced air mobility involving electrified vertical take-off and landing technologies. The report covers four research areas: (1) Identifying charging infrastructure requirements for existing facilities based on flight operational parameters, potential use cases, charging strategy, and other constraints. (2) Assessing sites on power availability to meet charging demand, the impact on grid infrastructure, potential hazards, and cybersecurity needs, and using technoeconomic analysis to identify opportunities for onsite distributed energy resources, primarily solar photovoltaics and battery energy storage systems. (3) Calculating greenhouse gas emission based on total energy consumption attributable to each site. (4) Analyzing the job and economic development impact for sites adopting new infrastructure.", "keywords": [ "Software deployment", "Aviation", "Photovoltaics", "Greenhouse gas", "Environmental economics", "Transport engineering", "Grid", "Photovoltaic system", "Business", "Computer science", "Engineering", "Electrical engineering" ], "cited_by_openalex": 5, "cited_by_scopus": 0, "eid": null, "pii": null, "open_access_url": "https://www.osti.gov/servlets/purl/2203520", "sources": [ { "db": "openalex", "stream": "UAV", "query_id": "UAV-3" } ], "streams": [ "UAV" ], "relevance_signals": [ "UAV_NO_CTX" ], "auto_exclude_reason": "EC-4-topic", "screening_status": "auto_excluded", "screened_by": "auto-v1.0.0" }, { "id": "doi:10.3926/jairm.403", "doi": "10.3926/jairm.403", "title": "Analysis of noise distributions at heliports and vertiports: A guide for site selection and land use planning", "year": 2023, "authors": [ "David Carl Ison" ], "first_author": "David Carl Ison", "venue": "Journal of Airline and Airport Management", "volume": null, "pages": null, "type": "article", "language": "en", "abstract": "Purpose: The purpose of this study was to examine the noise profiles of helicopters and eVTOLs at heliports and vertiports in order to support site planning and the development of local land-use compatibility guidelines. Design/methodology/approach: This study used existing helicopter and eVTOL sound profiles to develop noise distribution contours for heliports and vertiports. This study collected noise data from available studies on helicopters and eVTOLs. This data was then entered into dBmap noise mapping tool to develop noise maps for helicopters and eVTOLs. Three air transit facility configurations for each aircraft category were analyzed: open (unobstructed), urban, and rooftop. Two additional vertiport configurations were created by overlaying building and noise data with Google Earth imagery. Noise data was entered into dBmap for processing. Noise contours were mapped for three configurations for both aircraft categories.Findings: Key observations from the noise distribution analysis showed that open (unobstructed) facility configurations have even noise distributions for both eVTOLs and helicopters. Noise maps for urban locations showed areas of attenuation and asymmetrical patterns due to the interactions of sound waves with surrounding buildings. An analysis of a rooftop installation of a heliport or vertiport provided some noise mitigation advantages. Noise contour distributions closely matched those outlined in previous research; however, the sound intensities modeled in this study were lower than indicated in exigent research. Assessments were also conducted for real-world sites with potential future use as vertiports in Seattle, Washington, and Chicago, Illinois.Practical Implications: This study suggests that current land use compatibility guidance may be inadequate for rotorcraft and eVTOL operations. Findings suggest the development of symmetrical noise-impact zones centered around heliports and vertiports. Examples of these zones are outlined, and recommendations for future research are provided. Local planners can use the data from this study to make educated choices about the siting of heliports and vertiports. Additionally, the findings can assist planners in the development of zoning and land use compatibility standards.Social Implications: Land use compatibility standards for heliports and vertiports will help ensure a synergistic relationship between local communities and these air transit facilities. The data from this study can also help protect individuals from excessive noise and annoyance.Originality/value: This study is one of the few on this topic and the only known research on noise distributions of helicopters and eVTOLs with a particular focus on land use compatibility", "keywords": [ "Noise (video)", "Aircraft noise", "Noise control", "Computer science", "Environmental noise", "Site selection", "Remote sensing", "Acoustics", "Noise reduction", "Geography", "Sound (geography)", "Artificial intelligence" ], "cited_by_openalex": 5, "cited_by_scopus": 0, "eid": null, "pii": null, "open_access_url": "https://www.jairm.org/index.php/jairm/article/download/403/158", "sources": [ { "db": "openalex", "stream": "UAV", "query_id": "UAV-3" } ], "streams": [ "UAV" ], "relevance_signals": [ "UAV_NO_CTX" ], "auto_exclude_reason": "EC-4-topic", "screening_status": "auto_excluded", "screened_by": "auto-v1.0.0" }, { "id": "doi:10.2514/6.2023-2196", "doi": "10.2514/6.2023-2196", "title": "VSLAM and Vision-based Approach and Landing for Advanced Air Mobility", "year": 2023, "authors": [ "Evan Kawamura", "Chester V. Dolph", "Keerthana Kannan", "Nelson Brown", "Thomas Lombaerts", "Corey A. Ippolito" ], "first_author": "Evan Kawamura", "venue": "AIAA SCITECH 2023 Forum", "volume": null, "pages": null, "type": "conference-paper", "language": "en", "abstract": "View Video Presentation: https://doi.org/10.2514/6.2023-2196.vid Advanced Air Mobility (AAM) aircraft have many challenges in landing accurately and safely in urban, suburban, and rural environments. Localization in large and open rural environments could utilize GPS, but AAM aircraft in urban environments will encounter GPS degradation. Another challenge involves flight operation time, i.e., flying during the day or at night. There are different guidelines, landmarks, and landing light configurations at runways, heliports, and vertiports for daytime and nighttime applications. Tailoring feature detection methods for AAM approach and landing during the day and night pose different issues and challenges. It is easier to detect edges, lines, and other runway markers during the day than at night. Conversely, it is easier to see landing light configurations and patterns at nighttime than daytime. Consequently, utilizing the same feature detector for daytime and nighttime operations may not be feasible. This paper focuses on a vision-based precision approach and landing (PAL) by comparing ORB SLAM 2, a Vision Simultaneous Localization and Mapping (VSLAM) algorithm, and a novel EKF that combines onboard IMU measurements with coplanar pose from orthography and scaling with iterations (COPOSIT). Conducting unmanned aerial system (UAS) flight tests at NASA Armstrong Flight Research Center (AFRC) with landmarks and fiducials distributed around the landing zone provides a simulated AAM approach and landing data to test vision-based PAL methods to provide Alternative Position, Navigation, and Timing (APNT) solutions for AAM PAL applications. The novel vision-based PAL EKF with IMU and COPOSIT provides accurate state estimation when distributed landmarks and fiducials are in the field of view.", "keywords": [ "Computer science", "Inertial measurement unit", "Global Positioning System", "Artificial intelligence", "Computer vision", "Extended Kalman filter", "Runway", "Simultaneous localization and mapping", "Feature (linguistics)", "Pose", "Flight test", "Kalman filter" ], "cited_by_openalex": 5, "cited_by_scopus": 0, "eid": null, "pii": null, "open_access_url": "https://doi.org/10.2514/6.2023-2196", "sources": [ { "db": "openalex", "stream": "UAV", "query_id": "UAV-3" } ], "streams": [ "UAV" ], "relevance_signals": [ "UAV_NO_CTX" ], "auto_exclude_reason": "EC-4-topic", "screening_status": "auto_excluded", "screened_by": "auto-v1.0.0" }, { "id": "doi:10.16097/j.cnki.1009-6744.2023.02.010", "doi": "10.16097/j.cnki.1009-6744.2023.02.010", "title": "Truck Stop Purpose Identification Method Based on Trajectory Data", "year": 2023, "authors": [ "Yao Y.H." ], "first_author": "Yao Y.H.", "venue": "Jiaotong Yunshu Xitong Gongcheng Yu Xinxi Journal of Transportation Systems Engineering and Information Technology", "volume": "23", "pages": "92-99", "type": "Article", "language": null, "abstract": null, "keywords": [], "cited_by_openalex": 0, "cited_by_scopus": "5", "eid": "2-s2.0-85163043346", "pii": null, "open_access_url": null, "sources": [ { "db": "scopus", "stream": "TRUCK", "query_id": "TRUCK-1" } ], "streams": [ "TRUCK" ], "relevance_signals": [ "TRUCK_NO_CTX" ], "auto_exclude_reason": "EC-4-topic", "screening_status": "auto_excluded", "screened_by": "auto-v1.0.0" }, { "id": "doi:10.23773/2023_9", "doi": "10.23773/2023_9", "title": "Energy Consumption and Greenhouse Gas Emissions Arising from Logistical Activities within the Field of Road Transportation – a Review of Annual Balances and Mitigation Measures", "year": 2023, "authors": [ "Zschausch F." ], "first_author": "Zschausch F.", "venue": "Logistics Research", "volume": "16", "pages": null, "type": "Article", "language": null, "abstract": null, "keywords": [], "cited_by_openalex": 0, "cited_by_scopus": "5", "eid": "2-s2.0-85169121294", "pii": null, "open_access_url": null, "sources": [ { "db": "scopus", "stream": "TRUCK", "query_id": "TRUCK-2" }, { "db": "scopus", "stream": "TRUCK", "query_id": "TRUCK-3" } ], "streams": [ "TRUCK" ], "relevance_signals": [ "NO_TECHNOLOGY_MATCH" ], "auto_exclude_reason": "EC-4-topic", "screening_status": "auto_excluded", "screened_by": "auto-v1.0.0" }, { "id": "doi:10.1142/9781800613799_0010", "doi": "10.1142/9781800613799_0010", "title": "Densification Characteristics of Ammonia Fiber Explosion Pretreated Biomass and Applications", "year": 2023, "authors": [ "Balan V." ], "first_author": "Balan V.", "venue": "Densification Impact on Raw Chemically and Thermally Pretreated Biomass Physical Properties and Biofuels Production", "volume": null, "pages": "265-289", "type": "Book Chapter", "language": null, "abstract": null, "keywords": [], "cited_by_openalex": 0, "cited_by_scopus": "5", "eid": "2-s2.0-85166060731", "pii": null, "open_access_url": null, "sources": [ { "db": "scopus", "stream": "TRUCK", "query_id": "TRUCK-3" } ], "streams": [ "TRUCK" ], "relevance_signals": [ "NO_TECHNOLOGY_MATCH" ], "auto_exclude_reason": "EC-4-topic", "screening_status": "auto_excluded", "screened_by": "auto-v1.0.0" }, { "id": "doi:10.3778/j.issn.1002-8331.2204-0152", "doi": "10.3778/j.issn.1002-8331.2204-0152", "title": "Research on Distribution Path Problem of Truck Combined with UAV in Restricted Area", "year": 2023, "authors": [ "Yang L." ], "first_author": "Yang L.", "venue": "Computer Engineering and Applications", "volume": "59", "pages": "326-332", "type": "Article", "language": null, "abstract": null, "keywords": [], "cited_by_openalex": 0, "cited_by_scopus": "5", "eid": "2-s2.0-105007480075", "pii": null, "open_access_url": null, "sources": [ { "db": "scopus", "stream": "UAV", "query_id": "UAV-2" } ], "streams": [ "UAV" ], "relevance_signals": [ "UAV_NO_CTX", "TRUCK_NO_CTX" ], "auto_exclude_reason": "EC-4-topic", "screening_status": "auto_excluded", "screened_by": "auto-v1.0.0" }, { "id": "doi:10.1007/s10732-022-09507-2", "doi": "10.1007/s10732-022-09507-2", "title": "Self-adaptive heuristic algorithms for the dynamic and stochastic orienteering problem in autonomous transportation system", "year": 2023, "authors": [ "Wang B." ], "first_author": "Wang B.", "venue": "Journal of Heuristics", "volume": "29", "pages": "77-137", "type": "Article", "language": null, "abstract": null, "keywords": [], "cited_by_openalex": 0, "cited_by_scopus": "5", "eid": "2-s2.0-85147372892", "pii": null, "open_access_url": null, "sources": [ { "db": "scopus", "stream": "UAV", "query_id": "UAV-2" } ], "streams": [ "UAV" ], "relevance_signals": [ "NO_TECHNOLOGY_MATCH" ], "auto_exclude_reason": "EC-4-topic", "screening_status": "auto_excluded", "screened_by": "auto-v1.0.0" }, { "id": "doi:10.3778/j.issn.1002-8331.2203-0489", "doi": "10.3778/j.issn.1002-8331.2203-0489", "title": "Research on Drone Distribution Location-Path Planning Considering Dynamic Energy Consumption", "year": 2023, "authors": [ "Ren X." ], "first_author": "Ren X.", "venue": "Computer Engineering and Applications", "volume": "59", "pages": "273-280", "type": "Article", "language": null, "abstract": null, "keywords": [], "cited_by_openalex": 0, "cited_by_scopus": "5", "eid": "2-s2.0-105007311701", "pii": null, "open_access_url": null, "sources": [ { "db": "scopus", "stream": "UAV", "query_id": "UAV-3" } ], "streams": [ "UAV" ], "relevance_signals": [ "UAV_NO_CTX" ], "auto_exclude_reason": "EC-4-topic", "screening_status": "auto_excluded", "screened_by": "auto-v1.0.0" }, { "id": "doi:10.1109/iavvc57316.2023.10328131", "doi": "10.1109/iavvc57316.2023.10328131", "title": "Remaining Driving Range Estimation of Medium-Duty Electric Trucks During Delivery", "year": 2023, "authors": [ "Hyunjin Ahn", "Xingyu Zhou", "Heran Shen", "Yung-Chi Kung", "Junmin Wang" ], "first_author": "Hyunjin Ahn", "venue": "Iavvc 2023 IEEE International Automated Vehicle Validation Conference Proceedings", "volume": null, "pages": null, "type": "conference-paper", "language": "en", "abstract": "Fleet electrification has attracted substantial interest in the trucking industry, particularly in last-mile delivery fleets. However, the limited driving range of electric trucks (eTrucks) remains a significant challenge in this endeavor. Accurate estimation of the remaining driving range (RDR) during delivery can not only assist route planning but also help alleviate the range anxiety of drivers. This paper presents an RDR estimation algorithm that consists of offline historical data processing and online range estimation for medium-duty electric trucks in delivery scenarios. Leveraging real driving data, a traffic phase classification Markov chain and a driver behavior model are developed to forecast future driver maneuvers and vehicle velocities. The RDR is calculated by considering the energy consumption of upcoming road segments and the projected final state of charge (SOC). Extensive evaluations under various scenarios demonstrate the algorithm's effectiveness, with an estimation error of less than 4 km and a 52.1% reduction in error compared to the widely used SOC-based method. The results demonstrate the algorithm's potential to enhance RDR estimation in delivery operations, offering opportunities for improved efficiency and management of electric trucking fleets.", "keywords": [ "Truck", "Driving range", "Range (aeronautics)", "Electrification", "Computer science", "Automotive engineering", "Estimation", "Markov chain", "Transport engineering", "Electric vehicle", "Real-time computing", "Simulation" ], "cited_by_openalex": 4, "cited_by_scopus": "4", "eid": "2-s2.0-85180131919", "pii": null, "open_access_url": "https://doi.org/10.1109/iavvc57316.2023.10328131", "sources": [ { "db": "openalex", "stream": "TRUCK", "query_id": "TRUCK-1" }, { "db": "scopus", "stream": "TRUCK", "query_id": "TRUCK-1" } ], "streams": [ "TRUCK" ], "relevance_signals": [ "TRUCK" ], "auto_exclude_reason": null, "screening_status": "pending_human_screening", "screened_by": "auto-v1.0.0" }, { "id": "doi:10.1016/j.retrec.2023.101391", "doi": "10.1016/j.retrec.2023.101391", "title": "Transitioning e-commerce: Perceived pathways for the Norwegian urban freight sector", "year": 2023, "authors": [ "Kristin Ystmark Bjerkan", "Sahar Babri" ], "first_author": "Kristin Ystmark Bjerkan", "venue": "Research in Transportation Economics", "volume": "103", "pages": null, "type": "article", "language": "en", "abstract": "E-commerce is becoming an increasingly visible feature of modern society that places increasing strain on transport systems. Research has hitherto paid substantial attention to ways in which e-commerce might modify personal travel behaviour but has been less attentive to the ramifications of e-commerce for urban freight. Although contemporary conditions of urban freight are increasingly scrutinised by scholars in several disciplines, this study peeks into the future of urban freight from the scholarly perspective of sustainability transitions. Specifically, we investigate what expectations Norwegian freight providers hold for the transition pathways of their own sector. We find that the Norwegian urban freight sector expects technological shifts to be most prominent, pointing to the replacement of vans and lorries with low-emission models. Conversely, although deemed important enough, the urban freight sector orients less towards behavioural shifts that enhance efficiencies within and across freight providers. To ensure more transformative effects in the transition pathways of urban freight, we thus advise decision-makers in urban planning to establish inclusive approaches to policy making that enhance the legitimacy of technological and behavioural shifts in urban freight alike.", "keywords": [ "Norwegian", "Business", "Sustainability", "Transformative learning", "Sharing economy", "Legitimacy", "Marketing", "Political science", "Sociology" ], "cited_by_openalex": 4, "cited_by_scopus": "4", "eid": "2-s2.0-85180336556", "pii": "S0739885923001312", "open_access_url": "https://doi.org/10.1016/j.retrec.2023.101391", "sources": [ { "db": "openalex", "stream": "TRUCK", "query_id": "TRUCK-1" }, { "db": "scopus", "stream": "TRUCK", "query_id": "TRUCK-1" } ], "streams": [ "TRUCK" ], "relevance_signals": [ "TRUCK" ], "auto_exclude_reason": null, "screening_status": "pending_human_screening", "screened_by": "auto-v1.0.0" }, { "id": "doi:10.1016/j.aap.2023.107052", "doi": "10.1016/j.aap.2023.107052", "title": "Reexamination of the association between development patterns and truck crashes: A case study in Dallas-Fort Worth, TX", "year": 2023, "authors": [ "Sanggyun Kang" ], "first_author": "Sanggyun Kang", "venue": "Accident Analysis & Prevention", "volume": "186", "pages": null, "type": "article", "language": "en", "abstract": null, "keywords": [ "Truck", "Transport engineering", "Crash", "Distribution (mathematics)", "Intersection (aeronautics)", "Scale (ratio)", "Business", "Geography", "Engineering", "Computer science", "Cartography", "Mathematics" ], "cited_by_openalex": 3, "cited_by_scopus": "4", "eid": "2-s2.0-85152243757", "pii": "S0001457523000994", "open_access_url": "https://doi.org/10.1016/j.aap.2023.107052", "sources": [ { "db": "openalex", "stream": "TRUCK", "query_id": "TRUCK-1" }, { "db": "scopus", "stream": "TRUCK", "query_id": "TRUCK-1" } ], "streams": [ "TRUCK" ], "relevance_signals": [ "TRUCK_NO_CTX" ], "auto_exclude_reason": "EC-4-topic", "screening_status": "auto_excluded", "screened_by": "auto-v1.0.0" }, { "id": "doi:10.1145/3571306.3571411", "doi": "10.1145/3571306.3571411", "title": "Approximation Algorithms for Drone Delivery Packing Problem", "year": 2023, "authors": [ "Saswata Jana", "Partha Sarathi Mandal" ], "first_author": "Saswata Jana", "venue": "ACM International Conference Proceeding Series", "volume": null, "pages": "262-269", "type": "conference-paper", "language": "en", "abstract": "Recent advancements in unmanned aerial vehicles, also known as drones, have motivated logistics to use drones for multiple operations. Collaboration between drones and trucks in a last-mile delivery system has numerous benefits and reduces a number of challenges. In this paper, we introduce drone-delivery packing problem (DDP), where we have a set of deliveries and respective customers with their prescribed locations, delivery time intervals, associated cost for deliveries, and a set of drones with identical battery budgets. The objective of the DDP is to find an assignment for all deliveries to the drones by using the minimum number of drones subject to the battery budget and compatibility of the assignment of each drone. We prove that DDP is NP-Hard and formulate the integer linear programming (ILP) formulation for it. We proposed two greedy approximation algorithms for DDP. The first algorithm uses at most 2OPT + (Δ + 1) drones. The second algorithm uses at most 2OPT + ω drones, where OPT is the optimum solution for DDP, ω is the maximum clique size, and Δ is the maximum degree of the interval graph G constructed from the delivery time intervals.", "keywords": [ "Drone", "Computer science", "Approximation algorithm", "Integer programming", "Linear programming", "Mathematical optimization", "Set packing", "Set cover problem", "Set (abstract data type)", "Packing problems", "Algorithm", "Mathematics" ], "cited_by_openalex": 5, "cited_by_scopus": "4", "eid": "2-s2.0-85145877930", "pii": null, "open_access_url": "http://dx.doi.org/10.1145/3571306.3571411", "sources": [ { "db": "openalex", "stream": "TRUCK", "query_id": "TRUCK-1" }, { "db": "openalex", "stream": "UAV", "query_id": "UAV-1" }, { "db": "scopus", "stream": "TRUCK", "query_id": "TRUCK-1" }, { "db": "scopus", "stream": "UAV", "query_id": "UAV-1" } ], "streams": [ "TRUCK", "UAV" ], "relevance_signals": [ "UAV", "TRUCK" ], "auto_exclude_reason": null, "screening_status": "pending_human_screening", "screened_by": "auto-v1.0.0" }, { "id": "doi:10.1016/j.cie.2023.109026", "doi": "10.1016/j.cie.2023.109026", "title": "Mixed multi-echelon location routing problem with differentiated intermediate depots", "year": 2023, "authors": [ "Yunkai Chen", "Quanwu Zhao", "Wei Wang", "Shu Zhang" ], "first_author": "Yunkai Chen", "venue": "Computers & Industrial Engineering", "volume": "177", "pages": null, "type": "article", "language": "en", "abstract": null, "keywords": [ "Benchmark (surveying)", "Iterated local search", "Computer science", "Routing (electronic design automation)", "Heuristic", "Integer programming", "Mathematical optimization", "Vehicle routing problem", "Operations research", "Local search (optimization)", "Mathematics", "Geography" ], "cited_by_openalex": 2, "cited_by_scopus": "4", "eid": "2-s2.0-85147254047", "pii": "S0360835223000505", "open_access_url": "https://doi.org/10.1016/j.cie.2023.109026", "sources": [ { "db": "openalex", "stream": "TRUCK", "query_id": "TRUCK-2" }, { "db": "scopus", "stream": "TRUCK", "query_id": "TRUCK-2" } ], "streams": [ "TRUCK" ], "relevance_signals": [ "NO_TECHNOLOGY_MATCH" ], "auto_exclude_reason": "EC-4-topic", "screening_status": "auto_excluded", "screened_by": "auto-v1.0.0" }, { "id": "doi:10.1007/s10668-023-03054-x", "doi": "10.1007/s10668-023-03054-x", "title": "How to achieve sustainable distribution in the fast fashion industry? An electric vehicle solution under the “vehicle-battery separation” mode", "year": 2023, "authors": [ "He Huang", "Hongcheng Gan", "Shangqing Li", "Yanfeng Zhong" ], "first_author": "He Huang", "venue": "Environment Development and Sustainability", "volume": "26", "pages": "8443-8465", "type": "article", "language": "en", "abstract": null, "keywords": [ "Battery (electricity)", "Flexibility (engineering)", "Mode (computer interface)", "Ant colony optimization algorithms", "Greenhouse gas", "Electric vehicle", "Automotive engineering", "Computer science", "Distribution (mathematics)", "Mathematical optimization", "Algorithm", "Engineering" ], "cited_by_openalex": 2, "cited_by_scopus": "4", "eid": "2-s2.0-85149114339", "pii": null, "open_access_url": "https://link.springer.com/content/pdf/10.1007/s10668-023-03054-x.pdf", "sources": [ { "db": "openalex", "stream": "TRUCK", "query_id": "TRUCK-2" }, { "db": "scopus", "stream": "TRUCK", "query_id": "TRUCK-2" } ], "streams": [ "TRUCK" ], "relevance_signals": [ "NO_TECHNOLOGY_MATCH" ], "auto_exclude_reason": "EC-4-topic", "screening_status": "auto_excluded", "screened_by": "auto-v1.0.0" }, { "id": "doi:10.1007/978-3-031-24294-6_6", "doi": "10.1007/978-3-031-24294-6_6", "title": "Green Freight Distribution: A Case Study in Greece", "year": 2023, "authors": [ "Grigorios D. Konstantakopoulos", "Evripidis P. Kechagias", "Sotiris P. Gayialis", "Ilías P. Tatsiópoulos" ], "first_author": "Grigorios D. Konstantakopoulos", "venue": "Springer proceedings in business and economics", "volume": null, "pages": "49-64", "type": "conference-paper", "language": "en", "abstract": null, "keywords": [ "Greenhouse gas", "Vehicle routing problem", "Green logistics", "Minification", "City logistics", "Environmental economics", "Distribution (mathematics)", "Transport engineering", "Scheduling (production processes)", "Fuel efficiency", "Diesel fuel", "Engineering" ], "cited_by_openalex": 1, "cited_by_scopus": "4", "eid": "2-s2.0-85152571529", "pii": null, "open_access_url": "https://doi.org/10.1007/978-3-031-24294-6_6", "sources": [ { "db": "openalex", "stream": "TRUCK", "query_id": "TRUCK-2" }, { "db": "scopus", "stream": "TRUCK", "query_id": "TRUCK-2" } ], "streams": [ "TRUCK" ], "relevance_signals": [ "NO_TECHNOLOGY_MATCH" ], "auto_exclude_reason": "EC-4-topic", "screening_status": "auto_excluded", "screened_by": "auto-v1.0.0" }, { "id": "doi:10.1109/cist56084.2023.10409981", "doi": "10.1109/cist56084.2023.10409981", "title": "Freight on Public Transportation: Assessing the Role of Inter-modality", "year": 2023, "authors": [ "Mohamed Amine El Amrani", "Mouhsene Fri", "Othmane Benmoussa", "Naoufal Rouky" ], "first_author": "Mohamed Amine El Amrani", "venue": "Colloquium in Information Science and Technology Cist", "volume": null, "pages": "389-394", "type": "conference-paper", "language": "en", "abstract": "Freight on public transportation offers promising solutions for transporting goods in cities. It utilizes existing infrastructure such as stations and stops, light rails, metro, or other modes like Bus Rapid Transit (BRT). Another method is to utilize the space within vehicles, known as shared passenger and parcel solutions. A well organized and implemented shared passenger and parcel solution can lead to more efficient and environmentally friendly transportation of goods and parcels within cities. The objective of this paper is to attempt to gauge the potential of inter-modal containers in urban freight transportation, a literature review was chosen as the means to achieve the stated objective, and so three research questions were formulated and 24 papers on freight using public transportation published between 2013 and 2023, were chosen, the review process involved the creation of a classification table, enabling the systematic organization and analysis of the selected papers. Our findings reveal that freight on public transportation research is a rich and diverse research field, multiple problem classes are solved including vehicle routing, transshipment between transportation modes has been considered repeatedly and inter-modal container is recognized as main field for future research.", "keywords": [ "Modality (human–computer interaction)", "Computer science", "Public transport", "Transport engineering", "Business", "Engineering", "Artificial intelligence" ], "cited_by_openalex": 3, "cited_by_scopus": "4", "eid": "2-s2.0-85185392071", "pii": null, "open_access_url": "https://doi.org/10.1109/cist56084.2023.10409981", "sources": [ { "db": "openalex", "stream": "TRUCK", "query_id": "TRUCK-2" }, { "db": "scopus", "stream": "TRUCK", "query_id": "TRUCK-2" } ], "streams": [ "TRUCK" ], "relevance_signals": [ "NO_TECHNOLOGY_MATCH" ], "auto_exclude_reason": "EC-4-topic", "screening_status": "auto_excluded", "screened_by": "auto-v1.0.0" }, { "id": "doi:10.3390/su15075638", "doi": "10.3390/su15075638", "title": "A Branch and Price Algorithm for the Drop-and-Pickup Container Drayage Problem with Empty Container Constraints", "year": 2023, "authors": [ "Yujian Song", "Yuting Zhang", "Wanli Wang", "Ming Xue" ], "first_author": "Yujian Song", "venue": "Sustainability", "volume": "15", "pages": null, "type": "article", "language": "en", "abstract": "This paper addresses the drop-and-pickup container drayage problem with empty container constraints. In this problem, a truck is allowed to drop off the container at the customer and then leave. After the container has been packed/unpacked, the truck returns to pick it up. The problem is further complicated by the fact that empty containers at the depot are often limited in number. This container drayage problem is of great practical importance but seldom investigated. In this paper, we first formulate the problem as a directed graph and then mathematically model it as a mixed-integer linear program (MILP) with the objective of minimizing total travel costs. To solve the MILP effectively, we devise a branch and price algorithm that incorporates several performance enhancement strategies, including three versions of the bi-directional label setting algorithm, preprocessing of time windows and a heuristic for high-quality upper bounds. The experimental results indicate that (1) the proposed algorithm significantly outperforms CPLEX in terms of efficiency and effectiveness, (2) an average cost saving of 9.95∼12.25% can be achieved from the drop-and-pickup mode and (3) the benefit of drop-and-pickup mode increases when the customer density and the fixed cost increase.", "keywords": [ "Pickup", "Container (type theory)", "Truck", "Mathematical optimization", "Preprocessor", "Computer science", "Heuristic", "Algorithm", "Drop (telecommunication)", "Mathematics", "Engineering", "Automotive engineering" ], "cited_by_openalex": 4, "cited_by_scopus": "4", "eid": "2-s2.0-85152785098", "pii": null, "open_access_url": "https://www.mdpi.com/2071-1050/15/7/5638/pdf?version=1679567002", "sources": [ { "db": "openalex", "stream": "TRUCK", "query_id": "TRUCK-3" }, { "db": "scopus", "stream": "TRUCK", "query_id": "TRUCK-3" } ], "streams": [ "TRUCK" ], "relevance_signals": [ "TRUCK_NO_CTX" ], "auto_exclude_reason": "EC-4-topic", "screening_status": "auto_excluded", "screened_by": "auto-v1.0.0" }, { "id": "doi:10.3390/su152215992", "doi": "10.3390/su152215992", "title": "Integrated Location Selection and Scheduling Problems for Inland Container Transportation", "year": 2023, "authors": [ "Wenchao Wei", "Zining Dong", "Jinkui Fan" ], "first_author": "Wenchao Wei", "venue": "Sustainability", "volume": "15", "pages": null, "type": "article", "language": "en", "abstract": "Well-organized network configuration is the key to the success of inland container transportation systems. In this study, we firstly propose an integrated framework for the location selection of inland container depots (ICDs) and the scheduling of containers and trucks. The objective is to minimize the total cost of setting up the ICDs and transportation cost associated with trucks and containers. A mixed-integer linear programming (MILP) model is developed to solve the proposed problem. The computational studies show that the proposed decision approach is effective and can reduce the total operating costs of ICDs and transportation costs of containers. Sensitivity analysis on the impact of customer distributions and the number of ICDs on the total cost are conducted to reveal the characteristics of the problem. The utilization of ICDs can significantly improve the efficiency of the transportation network, i.e., the total cost is reduced by at least 27% for the proposed instances, and the transportation distance of empty containers is reduced by at least 4%. Finally, managerial insights and future research directions are provided.", "keywords": [ "Truck", "Container (type theory)", "Scheduling (production processes)", "Selection (genetic algorithm)", "Computer science", "Operations research", "Total cost", "Integer programming", "Transport engineering", "Flow network", "Key (lock)", "Mathematical optimization" ], "cited_by_openalex": 3, "cited_by_scopus": "4", "eid": "2-s2.0-85199233355", "pii": null, "open_access_url": "https://www.mdpi.com/2071-1050/15/22/15992/pdf?version=1700104497", "sources": [ { "db": "openalex", "stream": "TRUCK", "query_id": "TRUCK-3" }, { "db": "scopus", "stream": "TRUCK", "query_id": "TRUCK-3" } ], "streams": [ "TRUCK" ], "relevance_signals": [ "TRUCK_NO_CTX" ], "auto_exclude_reason": "EC-4-topic", "screening_status": "auto_excluded", "screened_by": "auto-v1.0.0" }, { "id": "doi:10.59478/atct.2023.8", "doi": "10.59478/atct.2023.8", "title": "Study of barriers for the use of drones in the last mile logistics", "year": 2023, "authors": [ "Snežana Radoman Tadić", "Ljubica Radovanović", "Mladen Dragan Krstić", "Miloš Veljović" ], "first_author": "Snežana Radoman Tadić", "venue": null, "volume": null, "pages": null, "type": "conference-paper", "language": "en", "abstract": "Effective last mile (LM) delivery is critical to efficient functioning of supply chains.In addition to speed and cost of delivery, environmental and social sustainability are increasingly important factors in last mile logistics (LML), especially in urban areas.Sustainable solutions involve application of various modern technologies.Autonomous vehicles and drones have attracted special attention of researchers in recent years, with their vast application potential.Despite potential benefits of deployment in LML, future of drone logistics is uncertain due to a number of barriers.Aim of this study is barriers analysis, evaluation and ranking, to identify those that prevent wider application of drones in LM to the greatest extent.For solving the defined problem this study used the fuzzy Delphi ANP (fuzzy DANP).Results indicate that the most critical barriers to implementation are lack of regulations, drone tracking, drone owners' liability and obstacle and collision avoidance.Higher perceived risk and short flight range are of lesser impact.The contribution of this study is in the fact that the analysis of barriers to the implementation of drones is assessed from different perspectives and interests of different stakeholders, which represents a new approach compared to previous research in this field.", "keywords": [ "Drone", "Mile", "Last mile (transportation)", "Business", "Computer science", "Aeronautics", "Engineering", "Geography" ], "cited_by_openalex": 4, "cited_by_scopus": 0, "eid": null, "pii": null, "open_access_url": "https://www.atct.ba/conference-proceedings/2023/8-study-of-barriers-for-the-use-of-drones-in-the-last-mile-logistics.pdf", "sources": [ { "db": "openalex", "stream": "UAV", "query_id": "UAV-1" } ], "streams": [ "UAV" ], "relevance_signals": [ "UAV" ], "auto_exclude_reason": null, "screening_status": "pending_human_screening", "screened_by": "auto-v1.0.0" }, { "id": "doi:10.31075/pis.69.04.05", "doi": "10.31075/pis.69.04.05", "title": "Last-mile delivery with electric vehicles, unmanned aerial vehicles, and e-scooters and e-bikes", "year": 2023, "authors": [ "Vladimir Ilin", "Marko Veličković", "Nemanja Garunović", "Dragan Simić" ], "first_author": "Vladimir Ilin", "venue": "Put i saobraćaj", "volume": null, "pages": null, "type": "article", "language": "en", "abstract": "Intense growth of e-commerce over the last years has been recognized to have a strong impact on logistics and transportation, and particularly on different modes of last-mile deliveries in urban areas. Simultaneously, many European regulations have imposed strict environmental limitations in terms of decreased air and noise pollution in urban areas. In such circumstances, logistics and transportation sector needs to offer more efficient and more environmental ways to deliver goods. In this paper, we consider electric vehicles (EV) and different concepts of EVs, like unmanned aerial vehicles, e-scooters, and e-bikes as appropriate solutions for last-mile deliveries from the environmental perspective and lifecycle costs.", "keywords": [ "Mile", "Last mile (transportation)", "Transport engineering", "Noise pollution", "Electric vehicle", "Business", "Aeronautics", "Engineering", "Computer science", "Geography" ], "cited_by_openalex": 4, "cited_by_scopus": 0, "eid": null, "pii": null, "open_access_url": "https://putisaobracaj.rs/index.php/PiS/article/download/314/228", "sources": [ { "db": "openalex", "stream": "UAV", "query_id": "UAV-1" } ], "streams": [ "UAV" ], "relevance_signals": [ "UAV" ], "auto_exclude_reason": null, "screening_status": "pending_human_screening", "screened_by": "auto-v1.0.0" }, { "id": "doi:10.11627/jksie.2023.46.2.160", "doi": "10.11627/jksie.2023.46.2.160", "title": "Research of the Delivery Autonomy and Vision-based Landing Algorithm for Last-Mile Service using a UAV", "year": 2023, "authors": [ "Hanseob Lee", "Hoon Jung" ], "first_author": "Hanseob Lee", "venue": "Journal of Society of Korea Industrial and Systems Engineering", "volume": null, "pages": null, "type": "article", "language": "en", "abstract": null, "keywords": [ "Mile", "Computer science", "Service (business)", "Last mile (transportation)", "Aeronautics", "Computer vision", "Algorithm", "Artificial intelligence", "Engineering", "Business", "Geography", "Geodesy" ], "cited_by_openalex": 4, "cited_by_scopus": 0, "eid": null, "pii": null, "open_access_url": "https://doi.org/10.11627/jksie.2023.46.2.160", "sources": [ { "db": "openalex", "stream": "UAV", "query_id": "UAV-1" } ], "streams": [ "UAV" ], "relevance_signals": [ "UAV" ], "auto_exclude_reason": null, "screening_status": "pending_human_screening", "screened_by": "auto-v1.0.0" }, { "id": "doi:10.1109/icc45041.2023.10279648", "doi": "10.1109/icc45041.2023.10279648", "title": "Q-Learning-Based Time-Adapted Early Arrival Path Algorithm for Drone Delivery Using Public Transport", "year": 2023, "authors": [ "Mohammed Rahmani", "Florian Delavernhe", "Sidi‐Mohammed Senouci", "Marion Berbineau" ], "first_author": "Mohammed Rahmani", "venue": "IEEE International Conference on Communications", "volume": "2023-May", "pages": "4719-4724", "type": "conference-paper", "language": "en", "abstract": "Drone-based delivery has gained popularity in recent years, and many different delivery systems and schemes have been proposed. One of the most promising scheme concepts is based on the collaboration between a drone and a public transportation network to expand the delivery range while conserving drone battery energy and reducing delivery costs. Path planning is the main problem with this design, as the public transportation network is stochastic and time-dependent. In this paper, an inspection time-adapted early arrival path problem is formulated, which seeks the path for a drone that ensures: (i) reaching the customer as soon as possible, (ii) adapting to random fluctuations in public transportation schedules, and (iii) taking into account the battery life of the drone. To achieve these requirements, a Q-learning-based planning method is proposed. The simulation results validate the effectiveness and feasibility of Q-learning on the planning path for parcel deliveries: at any departure instant, the arrival of the drones at the customer's location was guaranteed, i.e., the resulting path is 100% reliable. In addition, the convergence of the Q-Learning algorithm was reached after only 1000 learning epochs. Furthermore, the experimental results show that the Q-Learning solution can achieve a lower early arrival time and lower power consumption compared to a random algorithm.", "keywords": [ "Drone", "Computer science", "Path (computing)", "Motion planning", "Public transport", "Reinforcement learning", "Real-time computing", "Mathematical optimization", "Algorithm", "Operations research", "Artificial intelligence", "Computer network" ], "cited_by_openalex": 4, "cited_by_scopus": "4", "eid": "2-s2.0-85178311056", "pii": null, "open_access_url": "https://doi.org/10.1109/icc45041.2023.10279648", "sources": [ { "db": "openalex", "stream": "UAV", "query_id": "UAV-1" }, { "db": "openalex", "stream": "UAV", "query_id": "UAV-3" }, { "db": "scopus", "stream": "UAV", "query_id": "UAV-1" }, { "db": "scopus", "stream": "UAV", "query_id": "UAV-3" } ], "streams": [ "UAV" ], "relevance_signals": [ "UAV" ], "auto_exclude_reason": null, "screening_status": "pending_human_screening", "screened_by": "auto-v1.0.0" }, { "id": "doi:10.36676/irt.2023-v9i5-002", "doi": "10.36676/irt.2023-v9i5-002", "title": "Reinforcement Learning for Autonomous Drone Navigation", "year": 2023, "authors": [ "Myra Gupta" ], "first_author": "Myra Gupta", "venue": "Innovative Research Thoughts", "volume": null, "pages": null, "type": "article", "language": "en", "abstract": "Drone navigation involves the process of controlling the movement and flight path of unmanned aerial vehicles (UAVs). It encompasses both the hardware and software systems that enable drones to navigate and maneuver autonomously or under the guidance of a human operator. The utility of drone navigation is vast and varied, making it a critical component in numerous industries and applications. Firstly, drone navigation plays a crucial role in aerial surveillance and reconnaissance. Drones equipped with advanced navigation systems can efficiently patrol large areas, monitor activities, and gather real-time data from various perspectives. This capability is particularly valuable in security and law enforcement operations, disaster response, and environmental monitoring, where access and visibility might be limited.Drone navigation is critical in aerial mapping and surveying. Drones outfitted with GPS and other positioning technologies may record photographs and collect data with pinpoint accuracy, allowing for the creation of comprehensive 3D maps, topographic models, and land surveys. This allows for more precise, quicker, and cost-effective data collecting for urban planning, agricultural, infrastructure inspection, and building projects. Furthermore, drone navigation is critical in the transportation and logistics industries. Autonomous drones can fly predetermined paths to rapidly and effectively transfer commodities, medical supplies, and other payloads to distant or inaccessible regions. This technology has the potential to transform last-mile distribution, especially in rural areas or during emergencies when regular transportation routes may be hampered.", "keywords": [ "Drone", "Computer science", "Visibility", "Reinforcement learning", "Law enforcement", "Process (computing)", "Component (thermodynamics)", "Software", "Real-time computing", "Aeronautics", "Computer security", "Artificial intelligence" ], "cited_by_openalex": 4, "cited_by_scopus": 0, "eid": null, "pii": null, "open_access_url": "https://doi.org/10.36676/irt.2023-v9i5-002", "sources": [ { "db": "openalex", "stream": "UAV", "query_id": "UAV-1" } ], "streams": [ "UAV" ], "relevance_signals": [ "UAV" ], "auto_exclude_reason": null, "screening_status": "pending_human_screening", "screened_by": "auto-v1.0.0" }, { "id": "doi:10.1007/978-3-031-37111-0_21", "doi": "10.1007/978-3-031-37111-0_21", "title": "A Bi-objective Routing Problem with Trucks and Drones: Minimizing Mission Time and Energy Consumption", "year": 2023, "authors": [ "Mahdi Moeini", "Oliver Wendt", "Marius Schummer" ], "first_author": "Mahdi Moeini", "venue": "Lecture notes in computer science", "volume": "14106 LNCS", "pages": "291-308", "type": "conference-paper", "language": "en", "abstract": null, "keywords": [ "Drone", "Truck", "Computer science", "Energy consumption", "Job shop scheduling", "Integer programming", "Benchmark (surveying)", "Simulated annealing", "Vehicle routing problem", "Routing (electronic design automation)", "Mathematical optimization", "Minification" ], "cited_by_openalex": 5, "cited_by_scopus": "4", "eid": "2-s2.0-85164990395", "pii": null, "open_access_url": "https://doi.org/10.1007/978-3-031-37111-0_21", "sources": [ { "db": "openalex", "stream": "UAV", "query_id": "UAV-1" }, { "db": "openalex", "stream": "UAV", "query_id": "UAV-2" }, { "db": "scopus", "stream": "UAV", "query_id": "UAV-1" }, { "db": "scopus", "stream": "UAV", "query_id": "UAV-2" } ], "streams": [ "UAV" ], "relevance_signals": [ "UAV_NO_CTX", "TRUCK_NO_CTX" ], "auto_exclude_reason": "EC-4-topic", "screening_status": "auto_excluded", "screened_by": "auto-v1.0.0" }, { "id": "doi:10.3390/futuretransp3010020", "doi": "10.3390/futuretransp3010020", "title": "Congestion-Aware Bi-Modal Delivery Systems Utilizing Drones", "year": 2023, "authors": [ "Mark Beliaev", "Negar Mehr", "Ramtin Pedarsani" ], "first_author": "Mark Beliaev", "venue": "Future Transportation", "volume": "3", "pages": "329-348", "type": "article", "language": "en", "abstract": "With e-commerce demand rising, logistic operators are investing in alternative delivery methods such as drones. Because of their aerial reach, drones can provide much needed utility in the last mile by taking the load off of vehicles delivering parcels to customers on the road. Our goal is to assess the potential drones have in mitigating traffic congestion. To do so, we develop a mathematical model for a bi-modal delivery system composed of parcels carrying trucks and drones, combining it with an optimization problem that can be solved for the socially optimal routing and allocation policy efficiently. Within this formulation, we include multiple stakeholder perspectives by modeling the objective function in terms of both traffic congestion and parcel latency. This allows our model to quantify the impact of drones on reducing traffic congestion, and simultaneously finds the path routing that minimizes the given objective. To account for the effects of stopping trucks on road latency, we simulate roads shared between trucks and cars by utilizing SUMO. We then use quadratic optimization techniques to test our proposed framework on a variety of real-world transportation networks. Our findings highlight the trade-off between reducing traffic congestion and increasing parcel latency—while routing trucks along less time-efficient paths may alleviate traffic congestion, this disproportionately increases the parcel latency. This suggests the need for a balanced approach that considers both factors when solving for the routing policy.", "keywords": [ "Drone", "Traffic congestion", "Computer science", "Truck", "Routing (electronic design automation)", "Transport engineering", "Latency (audio)", "Computer network", "Operations research", "Engineering", "Telecommunications" ], "cited_by_openalex": 4, "cited_by_scopus": "4", "eid": "2-s2.0-85176581799", "pii": null, "open_access_url": "https://www.mdpi.com/2673-7590/3/1/20/pdf?version=1677836143", "sources": [ { "db": "openalex", "stream": "UAV", "query_id": "UAV-1" }, { "db": "scopus", "stream": "UAV", "query_id": "UAV-1" } ], "streams": [ "UAV" ], "relevance_signals": [ "UAV", "TRUCK" ], "auto_exclude_reason": null, "screening_status": "pending_human_screening", "screened_by": "auto-v1.0.0" }, { "id": "doi:10.1016/j.dib.2023.109192", "doi": "10.1016/j.dib.2023.109192", "title": "Dataset for the van-drone routing problem with multiple delivery drop points", "year": 2023, "authors": [ "Eleftherios Athanasiadis", "Vasilis P. Koutras", "Vasileios Zeimpekis" ], "first_author": "Eleftherios Athanasiadis", "venue": "Data in Brief", "volume": "48", "pages": null, "type": "data-paper", "language": "en", "abstract": "The distribution of parcels is one of the most complex and challenging processes in supply chain execution. Lately, the development of both electronic and quick commerce has driven carriers and courier operators to identify more effective methods for express parcel delivery. To this end, the development of efficient distribution networks that aim in increasing customer experience while maintaining low operating costs is significant importance both for researchers as well as for practitioners. This article presents a dataset for the Van Drone Routing Problem with Multiple Delivery Points and Cooperation (VDRPMDPC). The latter examines a van-drone team from an operational viewpoint, where a van moves along a road network while the drone egress and ingress from a van to a nearby delivery location and then travels back to the van. This problem has been created with the aim of assessing the design of more sustainable and cost-effective delivery routes in urban and semi urban environments via the use of Unmanned Aerial Vehicles (UAVs). For the development of this dataset real geographical positions have been used located at two different areas of Athens, Greece. The entire benchmark is composed of 14 instances comprised by 20, 40, 60 and 100 clients respectively. The dataset is publicly available for its use and modification.", "keywords": [ "Drone", "Computer science", "Benchmark (surveying)", "Routing (electronic design automation)", "Vehicle routing problem", "Delivery Performance", "Operations research", "Transport engineering", "Distribution (mathematics)", "Computer network", "Business", "Process management" ], "cited_by_openalex": 3, "cited_by_scopus": "4", "eid": "2-s2.0-85156141140", "pii": "S2352340923003116", "open_access_url": "https://doi.org/10.1016/j.dib.2023.109192", "sources": [ { "db": "openalex", "stream": "UAV", "query_id": "UAV-1" }, { "db": "openalex", "stream": "UAV", "query_id": "UAV-2" }, { "db": "scopus", "stream": "TRUCK", "query_id": "TRUCK-2" }, { "db": "scopus", "stream": "UAV", "query_id": "UAV-1" }, { "db": "scopus", "stream": "UAV", "query_id": "UAV-2" } ], "streams": [ "TRUCK", "UAV" ], "relevance_signals": [ "UAV" ], "auto_exclude_reason": null, "screening_status": "pending_human_screening", "screened_by": "auto-v1.0.0" }, { "id": "doi:10.1007/978-3-031-21101-0_8", "doi": "10.1007/978-3-031-21101-0_8", "title": "Intelligent Detection System for Spoofing and Jamming Attacks in UAVs", "year": 2023, "authors": [ "Khadeeja Sabah Jasim", "Khattab M. Ali Alheeti", "Abdul Kareem A. Najem Alaloosy" ], "first_author": "Khadeeja Sabah Jasim", "venue": "Engineering cyber-physical systems and critical infrastructures", "volume": "4", "pages": "97-110", "type": "conference-paper", "language": "en", "abstract": null, "keywords": [ "Spoofing attack", "Computer science", "Offensive", "Computer security", "Jamming", "Confusion matrix", "Artificial intelligence", "Machine learning", "Engineering", "Operations research" ], "cited_by_openalex": 7, "cited_by_scopus": "4", "eid": "2-s2.0-105045492155", "pii": null, "open_access_url": "https://doi.org/10.1007/978-3-031-21101-0_8", "sources": [ { "db": "openalex", "stream": "UAV", "query_id": "UAV-1" }, { "db": "scopus", "stream": "UAV", "query_id": "UAV-1" } ], "streams": [ "UAV" ], "relevance_signals": [ "UAV_NO_CTX" ], "auto_exclude_reason": "EC-4-topic", "screening_status": "auto_excluded", "screened_by": "auto-v1.0.0" }, { "id": "doi:10.1145/3579375.3579383", "doi": "10.1145/3579375.3579383", "title": "Multi-Featured Anomaly Detection for Mobile Edge Computing Based UAV Delivery Systems", "year": 2023, "authors": [ "Leilei Xu", "Xiao Liu", "Frank Jiang", "Yi Xu", "Aiting Yao", "Xu Jia", "Xuejun Li" ], "first_author": "Leilei Xu", "venue": "ACM International Conference Proceeding Series", "volume": null, "pages": "58-65", "type": "conference-paper", "language": "en", "abstract": "With the rapid development of communication infrastructure and the widespread of IoT computing facilities such as Mobile Edge Computing (MEC), the application of Unmanned Aerial Vehicles (UAVs) are increasingly growing especially in last-mile deliveries in smart logistics. However, the anomaly detection in the MEC environment is still one yet unresolved issue. In recent years, the methods of UAV anomaly detection mainly focus on detections of specific types of UAVs or a certain feature of UAVs, and it is not as certain to achieve efficient and reliable results, in other words, there is currently a lack of better ways to address security issues in UAV networks. In this paper, we propose a Multi-Featured Anomaly Detection (MFAD) method for MEC-based UAV delivery systems to detect malicious attacks in the network through the abnormal state of UAV. Firstly, we develop deep learning model to recognize the correct UAV behaviors using several common UAV data in normal states, including altitude and speed. Secondly, we apply attacks in the data to simulate anomalous UAV behaviors under cyberattacks. Thirdly, the abnormal data is merged into the selected normal behavior model to detect the Normalized Root Mean Square Error (NRMSE) between the input data and the data provided by the normal behavior model. Finally, experiments with UAV sensor data demonstrate that our method is effective in detecting anomalies, but also reduce the vital energy consumption in UAV delivery systems.", "keywords": [ "Computer science", "Anomaly detection", "Focus (optics)", "Real-time computing", "Enhanced Data Rates for GSM Evolution", "Anomaly (physics)", "Feature (linguistics)", "Deep learning", "Mobile edge computing", "Artificial intelligence" ], "cited_by_openalex": 4, "cited_by_scopus": "4", "eid": "2-s2.0-85150227282", "pii": null, "open_access_url": "https://figshare.com/articles/conference_contribution/Multi-Featured_Anomaly_Detection_for_Mobile_Edge_Computing_Based_UAV_Delivery_Systems/22647667", "sources": [ { "db": "openalex", "stream": "UAV", "query_id": "UAV-1" }, { "db": "scopus", "stream": "UAV", "query_id": "UAV-1" } ], "streams": [ "UAV" ], "relevance_signals": [ "UAV" ], "auto_exclude_reason": null, "screening_status": "pending_human_screening", "screened_by": "auto-v1.0.0" }, { "id": "doi:10.3390/drones7060362", "doi": "10.3390/drones7060362", "title": "Drones Routing with Stochastic Demand", "year": 2023, "authors": [ "Nan Hua Yu", "Bin Dong", "Yuben Qu", "Mingwei Zhang", "Yanyan Wang", "Haipeng Dai", "Changhua Yao" ], "first_author": "Nan Hua Yu", "venue": "Drones", "volume": "7", "pages": null, "type": "article", "language": "en", "abstract": "Motivated by the increasing number of drones used for package delivery, we first study the problem of Multiple drOne collaborative Routing dEsign (MORE) in this article. That is, given a fixed number of drones and customers, determining the delivery trip for drones under capacity constraint with stochastic demand for customers such that the overall expected traveling cost is minimized. To address the MORE problem, we first prove that MORE falls into the realm of the classical vehicle routing problem with stochastic demand and then propose an effective algorithm for MORE. Next, we have a scheme of resplitting customers into different individual delivery trips while the stochastic demands are determined. Moreover, we consider a variety of MORE, MORE-TW, and design an effective algorithm to address it. We conduct simulation experiments for MORE to verify our theoretical findings. The results show that our algorithm outperforms other comparison algorithms by at least 79.60%.", "keywords": [ "Drone", "TRIPS architecture", "Routing (electronic design automation)", "Vehicle routing problem", "Computer science", "Mathematical optimization", "Constraint (computer-aided design)", "Operations research", "Mathematics", "Computer network" ], "cited_by_openalex": 4, "cited_by_scopus": "4", "eid": "2-s2.0-85163844786", "pii": null, "open_access_url": "https://www.mdpi.com/2504-446X/7/6/362/pdf?version=1685699926", "sources": [ { "db": "openalex", "stream": "UAV", "query_id": "UAV-2" }, { "db": "scopus", "stream": "UAV", "query_id": "UAV-2" } ], "streams": [ "UAV" ], "relevance_signals": [ "UAV" ], "auto_exclude_reason": null, "screening_status": "pending_human_screening", "screened_by": "auto-v1.0.0" }, { "id": "doi:10.1007/978-981-99-7025-4_40", "doi": "10.1007/978-981-99-7025-4_40", "title": "MARL$$_{4}DRP$$: Benchmarking Cooperative Multi-agent Reinforcement Learning Algorithms for Drone Routing Problems", "year": 2023, "authors": [ "Shiyao Ding", "Hideki Aoyama", "Donghui Lin" ], "first_author": "Shiyao Ding", "venue": "Lecture notes in computer science", "volume": "14327 LNAI", "pages": "459-465", "type": "conference-paper", "language": "en", "abstract": null, "keywords": [ "Drone", "Reinforcement learning", "Computer science", "Benchmark (surveying)", "Benchmarking", "Routing (electronic design automation)", "Distributed computing", "Modular design", "Artificial intelligence", "Embedded system", "Programming language" ], "cited_by_openalex": 3, "cited_by_scopus": "4", "eid": "2-s2.0-85177467024", "pii": null, "open_access_url": "https://doi.org/10.1007/978-981-99-7025-4_40", "sources": [ { "db": "openalex", "stream": "UAV", "query_id": "UAV-2" }, { "db": "scopus", "stream": "UAV", "query_id": "UAV-2" } ], "streams": [ "UAV" ], "relevance_signals": [ "UAV_NO_CTX" ], "auto_exclude_reason": "EC-4-topic", "screening_status": "auto_excluded", "screened_by": "auto-v1.0.0" }, { "id": "doi:10.1007/s10479-023-05458-4", "doi": "10.1007/s10479-023-05458-4", "title": "Dispatching point selection for a drone-based delivery system operating in a mixed Euclidean–Manhattan grid", "year": 2023, "authors": [ "Francesco Betti Sorbelli", "Federico Corò", "Sajal Kumar Das", "Cristina Maria Pinotti", "Anil M. Shende" ], "first_author": "Francesco Betti Sorbelli", "venue": "Annals of Operations Research", "volume": "351", "pages": "203-222", "type": "article", "language": "en", "abstract": "Abstract In this paper, we present a drone-based delivery system that assumes to deal with a mixed-area, i.e., two areas, one rural and one urban, placed side-by-side. In the mixed-areas, called EM-grids, the distances are measured with two different metrics, and the shortest path between two destinations concatenates the Euclidean and Manhattan metrics. Due to payload constraints, the drone serves a single customer at a time returning back to the dispatching point (DP) after each delivery to load a new parcel for the next customer. In this paper, we present the $$1$$ 1 -Median Euclidean–Manhattan grid Problem (MEMP) for EM-grids, whose goal is to determine the drone’s DP position that minimizes the sum of the distances between all the locations to be served and the point itself. We study the MEMP on two different scenarios, i.e., one in which all the customers in the area need to be served (full-grid) and another one where only a subset of these must be served (partial-grid). For the full-grid scenario we devise optimal and approximation algorithms, while for the partial-grid scenario we devise an optimal algorithm.", "keywords": [ "Grid", "Computer science", "Drone", "Euclidean geometry", "Shortest path problem", "Euclidean distance", "Point (geometry)", "Mathematical optimization", "Path (computing)", "Algorithm", "Theory of computation", "Mathematics" ], "cited_by_openalex": 6, "cited_by_scopus": "4", "eid": "2-s2.0-85162197974", "pii": null, "open_access_url": "https://link.springer.com/content/pdf/10.1007/s10479-023-05458-4.pdf", "sources": [ { "db": "openalex", "stream": "UAV", "query_id": "UAV-3" }, { "db": "scopus", "stream": "UAV", "query_id": "UAV-3" } ], "streams": [ "UAV" ], "relevance_signals": [ "UAV_NO_CTX" ], "auto_exclude_reason": "EC-4-topic", "screening_status": "auto_excluded", "screened_by": "auto-v1.0.0" }, { "id": "doi:10.1109/dasc58513.2023.10311154", "doi": "10.1109/dasc58513.2023.10311154", "title": "Hierarchical Vertiport Network for an Urban Air Mobility System: Munich Metropolitan Area Case Study", "year": 2023, "authors": [ "Magdalena Peksa", "Florian Dandl", "Klaus Bogenberger" ], "first_author": "Magdalena Peksa", "venue": "AIAA IEEE Digital Avionics Systems Conference Proceedings", "volume": null, "pages": null, "type": "conference-paper", "language": "en", "abstract": "Urban Air Mobility (UAM) is considered a future alternative for not only inner-city but also regional travel. Because of the high cost of building the UAM infrastructure, UAM take-off and landing spots should be placed strategically, maximising benefits for both passengers and the operator. We referred to the hub location theory when developing possible UAM transportation networks and locating vertiports, considering a hierarchical hub network that distinguishes between two types of hubs (hubs and central hubs). We adjusted the hierarchical model with a single assignment, allowing direct travel between demand nodes assigned to the same hub. We applied the model to a Bavarian transportation network consisting of 5 central hubs (4 cities and Munich Airport) and investigated which way of incorporating the city of Munich into the network would produce the best results in terms of minimising the mean passenger travel time.", "keywords": [ "Metropolitan area", "Transport engineering", "Street network", "Computer science", "Travel time", "Air travel", "Operator (biology)", "Operations research", "Telecommunications", "Geography", "Aviation", "Engineering" ], "cited_by_openalex": 3, "cited_by_scopus": "4", "eid": "2-s2.0-85178662216", "pii": null, "open_access_url": "https://doi.org/10.1109/dasc58513.2023.10311154", "sources": [ { "db": "openalex", "stream": "UAV", "query_id": "UAV-3" }, { "db": "scopus", "stream": "UAV", "query_id": "UAV-3" } ], "streams": [ "UAV" ], "relevance_signals": [ "UAV_NO_CTX" ], "auto_exclude_reason": "EC-4-topic", "screening_status": "auto_excluded", "screened_by": "auto-v1.0.0" }, { "id": "doi:10.1109/dasc58513.2023.10311270", "doi": "10.1109/dasc58513.2023.10311270", "title": "Assessing Performance of Radar and Visual Sensing Techniques for Ground-To-Air Surveillance in Advanced Air Mobility", "year": 2023, "authors": [ "Federica Vitiello", "Flavia Causa", "Roberto Opromolla", "Giancarmine Fasano", "Chester V. Dolph", "Todd Ferrante", "Thomas Lombaerts", "Corey A. Ippolito" ], "first_author": "Federica Vitiello", "venue": null, "volume": null, "pages": null, "type": "conference-paper", "language": "en", "abstract": "The safe integration of Unmanned Aircraft Vehicles (UAV) within the civil airspace is of great interest to NASA’s Advanced Air Mobility project, which envisions high density of operations in and around urban areas that include both UAV and AAM aircraft. To enable safe autonomous operations of both platforms, reliable airspace surveillance strategies must be designed and experimentally validated in relevant scenarios, where multiple small UAV operate flying in low altitude conditions. An example of such a scenario is described in this paper which provides performance assessment of various sensing strategies experimentally tested during flight campaigns with four UAV completing simultaneous missions from vertiports. Such campaigns are performed by the High Density Vertiplex subproject which assesses a prototype of Urban Air Mobility ecosystem. For the purposes of this work, the flights are observed from multiple sensing nodes each with radar and camera sensors. The visual detection and tracking algorithms achieved 96.1% to 99.9% average tracking coverage of the UAV above the horizon, reaching detection ranges larger than 1 kilometer for octocopter. Radar-based tracking shows a lower coverage mainly due to ground clutter removal challenges but provides comparable detection ranges and meter-level range accuracy.", "keywords": [ "Secondary surveillance radar", "Radar", "Computer science", "Remote sensing", "Ground-penetrating radar", "Meteorology", "Telecommunications", "Geography" ], "cited_by_openalex": 4, "cited_by_scopus": 0, "eid": null, "pii": null, "open_access_url": "http://dx.doi.org/10.1109/dasc58513.2023.10311270", "sources": [ { "db": "openalex", "stream": "UAV", "query_id": "UAV-3" } ], "streams": [ "UAV" ], "relevance_signals": [ "UAV_NO_CTX" ], "auto_exclude_reason": "EC-4-topic", "screening_status": "auto_excluded", "screened_by": "auto-v1.0.0" }, { "id": "doi:10.1109/itsc57777.2023.10422483", "doi": "10.1109/itsc57777.2023.10422483", "title": "ORB Keypoint Based Flying Object Region Proposal for Safe & Reliable Urban Air Traffic Management *", "year": 2023, "authors": [ "Swarn Singh Rathour", "Takahiro Ito", "Kimiyoshi Machii", "Mikio BANDO", "Taku Shimizu" ], "first_author": "Swarn Singh Rathour", "venue": "IEEE Conference on Intelligent Transportation Systems Proceedings ITSC", "volume": null, "pages": "1263-1268", "type": "conference-paper", "language": "en", "abstract": "This paper describes the development of a ground-mounted sensing system designed for urban air mobility (UAM) operational aircraft's landing and takeoff within designated UAM Vertiport zones. One of the significant challenges associated with adopting visible feature-based methods for detecting UAM operational aircraft is their complex shapes and patterns, which can complicate the extraction of consistent and distinctive visible features for accurate detection. To address this challenge, we developed a system that focuses on extracting keypoint features from foreground images, forming a basis for reliable region proposals encompassing all types of flying objects. The resulting system was experimentally evaluated using drones of varying shapes and sizes, flying at distances ranging from 15 to 120 meters. The experiments demonstrated the system's capability to detect small drones, as small as 0.178x0.232x0.127 meters, flying at approximately 100 meters. Additionally, the system exhibited the ability to detect flying birds. The paper also demonstrates the use of the developed visible image-based flying object region proposal system to assess the retraining and finetuning needs of state-of-the-art deep learning-based object detection models.", "keywords": [ "Orb (optics)", "Computer science", "Object (grammar)", "Artificial intelligence", "Physics", "Image (mathematics)" ], "cited_by_openalex": 3, "cited_by_scopus": "4", "eid": "2-s2.0-85186529341", "pii": null, "open_access_url": "http://dx.doi.org/10.1109/itsc57777.2023.10422483", "sources": [ { "db": "openalex", "stream": "UAV", "query_id": "UAV-3" }, { "db": "scopus", "stream": "UAV", "query_id": "UAV-3" } ], "streams": [ "UAV" ], "relevance_signals": [ "UAV_NO_CTX" ], "auto_exclude_reason": "EC-4-topic", "screening_status": "auto_excluded", "screened_by": "auto-v1.0.0" }, { "id": "doi:10.1007/978-3-031-24767-5_37", "doi": "10.1007/978-3-031-24767-5_37", "title": "Streamlining Freight Transport Through Planning Interventions in Vijayawada City", "year": 2023, "authors": [ "Vullapu S.S." ], "first_author": "Vullapu S.S.", "venue": "Springer Geography", "volume": null, "pages": "847-885", "type": "Book Chapter", "language": null, "abstract": null, "keywords": [], "cited_by_openalex": 0, "cited_by_scopus": "4", "eid": "2-s2.0-85160307460", "pii": null, "open_access_url": null, "sources": [ { "db": "scopus", "stream": "TRUCK", "query_id": "TRUCK-1" } ], "streams": [ "TRUCK" ], "relevance_signals": [ "NO_TECHNOLOGY_MATCH" ], "auto_exclude_reason": "EC-4-topic", "screening_status": "auto_excluded", "screened_by": "auto-v1.0.0" }, { "id": "doi:10.13587/j.cnki.jieem.2023.03.017", "doi": "10.13587/j.cnki.jieem.2023.03.017", "title": "The design and optimization of two-echelon vehicle routing problem for multi-commodity multi-depot logistics network considering intra-city delivery service", "year": 2023, "authors": [ "Shixin X." ], "first_author": "Shixin X.", "venue": "Journal of Industrial Engineering and Engineering Management", "volume": "37", "pages": "178-190", "type": "Article", "language": null, "abstract": null, "keywords": [], "cited_by_openalex": 0, "cited_by_scopus": "4", "eid": "2-s2.0-85159889605", "pii": null, "open_access_url": null, "sources": [ { "db": "scopus", "stream": "TRUCK", "query_id": "TRUCK-2" } ], "streams": [ "TRUCK" ], "relevance_signals": [ "NO_TECHNOLOGY_MATCH" ], "auto_exclude_reason": "EC-4-topic", "screening_status": "auto_excluded", "screened_by": "auto-v1.0.0" }, { "id": "doi:10.3778/j.issn.1002-8331.2204-0226", "doi": "10.3778/j.issn.1002-8331.2204-0226", "title": "Optimization of Truck and Drone Collaborative Distribution Route in Rural Areas", "year": 2023, "authors": [ "Jiang L." ], "first_author": "Jiang L.", "venue": "Computer Engineering and Applications", "volume": "59", "pages": "306-314", "type": "Article", "language": null, "abstract": null, "keywords": [], "cited_by_openalex": 0, "cited_by_scopus": "4", "eid": "2-s2.0-105007355182", "pii": null, "open_access_url": null, "sources": [ { "db": "scopus", "stream": "UAV", "query_id": "UAV-2" } ], "streams": [ "UAV" ], "relevance_signals": [ "UAV_NO_CTX", "TRUCK_NO_CTX" ], "auto_exclude_reason": "EC-4-topic", "screening_status": "auto_excluded", "screened_by": "auto-v1.0.0" }, { "id": "doi:10.1109/globecom54140.2023.10437334", "doi": "10.1109/globecom54140.2023.10437334", "title": "Joint Deployment and Trajectory Planning of Multiple UAVs for Emergency Communications", "year": 2023, "authors": [ "Zhu Y." ], "first_author": "Zhu Y.", "venue": "Proceedings IEEE Global Communications Conference Globecom", "volume": null, "pages": "1854-1859", "type": "Conference Paper", "language": null, "abstract": null, "keywords": [], "cited_by_openalex": 0, "cited_by_scopus": "4", "eid": "2-s2.0-85187365732", "pii": null, "open_access_url": null, "sources": [ { "db": "scopus", "stream": "UAV", "query_id": "UAV-2" } ], "streams": [ "UAV" ], "relevance_signals": [ "UAV_NO_CTX" ], "auto_exclude_reason": "EC-4-topic", "screening_status": "auto_excluded", "screened_by": "auto-v1.0.0" }, { "id": "doi:10.1007/s13177-023-00350-8", "doi": "10.1007/s13177-023-00350-8", "title": "A Novel Framework for Solving the Optimal Path Problem in Collaborative Consignment Delivery Systems Using Drones", "year": 2023, "authors": [ "Shibu Kumar K.B." ], "first_author": "Shibu Kumar K.B.", "venue": "International Journal of Intelligent Transportation Systems Research", "volume": "21", "pages": "259-276", "type": "Article", "language": null, "abstract": null, "keywords": [], "cited_by_openalex": 0, "cited_by_scopus": "4", "eid": "2-s2.0-85164281681", "pii": null, "open_access_url": null, "sources": [ { "db": "scopus", "stream": "UAV", "query_id": "UAV-3" } ], "streams": [ "UAV" ], "relevance_signals": [ "UAV_NO_CTX" ], "auto_exclude_reason": "EC-4-topic", "screening_status": "auto_excluded", "screened_by": "auto-v1.0.0" }, { "id": "doi:10.3233/jifs-224307", "doi": "10.3233/jifs-224307", "title": "A hybrid large-neighborhood search for a truck and drone delivery system with stochastic customer existence and time windows", "year": 2023, "authors": [ "Ebrahim Teimoury", "Reza Rashid" ], "first_author": "Ebrahim Teimoury", "venue": "Journal of Intelligent & Fuzzy Systems", "volume": "44", "pages": "10197-10211", "type": "article", "language": "en", "abstract": "In recent years, e-commerce has become increasingly popular, and consumers expect quick and affordable delivery, placing additional pressure on city logistics activities. An innovative approach is proposed to coordinate ground vehicles and drones for delivery services, which has gained tremendous attention from academia and logistic service providers. This paper introduces a variant of this problem: the two-echelon truck and drone routing problem, characterized by stochastic demand existence and soft time windows. A Markov chain is used to model the problem, and a linear mathematical model is presented. This work employs a hybrid large-neighborhood search approach. Numerous computational experiments are conducted to evaluate the performance of the proposed solution method, and the results demonstrate its efficacy.", "keywords": [ "Drone", "Truck", "Computer science", "Markov chain", "Vehicle routing problem", "Service (business)", "Operations research", "Mathematical optimization", "Routing (electronic design automation)", "Engineering", "Mathematics", "Computer network" ], "cited_by_openalex": 2, "cited_by_scopus": "3", "eid": "2-s2.0-85166396573", "pii": null, "open_access_url": "https://doi.org/10.3233/jifs-224307", "sources": [ { "db": "openalex", "stream": "TRUCK", "query_id": "TRUCK-1" }, { "db": "openalex", "stream": "TRUCK", "query_id": "TRUCK-2" }, { "db": "openalex", "stream": "UAV", "query_id": "UAV-1" }, { "db": "openalex", "stream": "UAV", "query_id": "UAV-2" }, { "db": "scopus", "stream": "TRUCK", "query_id": "TRUCK-1" }, { "db": "scopus", "stream": "TRUCK", "query_id": "TRUCK-2" }, { "db": "scopus", "stream": "UAV", "query_id": "UAV-1" }, { "db": "scopus", "stream": "UAV", "query_id": "UAV-2" } ], "streams": [ "TRUCK", "UAV" ], "relevance_signals": [ "UAV", "TRUCK" ], "auto_exclude_reason": null, "screening_status": "pending_human_screening", "screened_by": "auto-v1.0.0" }, { "id": "doi:10.2139/ssrn.4516190", "doi": "10.2139/ssrn.4516190", "title": "The Parallel Drone Scheduling Vehicle Routing Problem with Collective Drones", "year": 2023, "authors": [ "Roberto Montemanni", "Mauro Dell'Amico", "Andrea Corsini" ], "first_author": "Roberto Montemanni", "venue": "SSRN Electronic Journal", "volume": null, "pages": null, "type": "preprint", "language": "en", "abstract": null, "keywords": [ "Drone", "Truck", "Travelling salesman problem", "Vehicle routing problem", "Computer science", "Scheduling (production processes)", "Integer programming", "Constraint programming", "Routing (electronic design automation)", "Operations research", "Mathematical optimization", "Engineering" ], "cited_by_openalex": 3, "cited_by_scopus": 0, "eid": null, "pii": null, "open_access_url": "https://doi.org/10.2139/ssrn.4516190", "sources": [ { "db": "openalex", "stream": "TRUCK", "query_id": "TRUCK-1" }, { "db": "openalex", "stream": "UAV", "query_id": "UAV-1" }, { "db": "openalex", "stream": "UAV", "query_id": "UAV-2" } ], "streams": [ "TRUCK", "UAV" ], "relevance_signals": [ "UAV_NO_CTX", "TRUCK_NO_CTX" ], "auto_exclude_reason": "EC-4-topic", "screening_status": "auto_excluded", "screened_by": "auto-v1.0.0" }, { "id": "doi:10.1016/j.trpro.2023.11.668", "doi": "10.1016/j.trpro.2023.11.668", "title": "Perspectives of using Electric- and Alternatively Fuelled Freight Transport Vehicles among Road Haulage Companies in Finland", "year": 2023, "authors": [ "Erika Kallionpää", "Sheba Nair", "Heikki Liimatainen" ], "first_author": "Erika Kallionpää", "venue": "Transportation research procedia", "volume": "72", "pages": "1894-1901", "type": "article", "language": "en", "abstract": "A rising interest in electric and other alternatively fuelled vehicles of the freight transport industry is due to the emission targets and technological advancements. The purpose of this study is to measure the perceptions and opinions of road haulage companies on the use of electric and alternatively fuelled vans and trucks, as a part of urban logistics operations and long-haul transport in Finland. The paper is based on a case study in the form of expert interviews and a survey among road haulage companies. The paper provides valuable, new information to the companies about investing in electric and alternatively fuelled freight vehicles, and to the local authorities in cities about developing urban environment and infrastructure. As a result, this paper introduces benefits, barriers, policy recommendations and factors affecting the competitiveness of these vehicles.", "keywords": [ "Haulage", "Truck", "Transport engineering", "City logistics", "Business", "Road transport", "Engineering", "Automotive engineering" ], "cited_by_openalex": 3, "cited_by_scopus": "3", "eid": "2-s2.0-85182930359", "pii": "S2352146523009663", "open_access_url": "https://doi.org/10.1016/j.trpro.2023.11.668", "sources": [ { "db": "openalex", "stream": "TRUCK", "query_id": "TRUCK-1" }, { "db": "scopus", "stream": "TRUCK", "query_id": "TRUCK-1" } ], "streams": [ "TRUCK" ], "relevance_signals": [ "TRUCK" ], "auto_exclude_reason": null, "screening_status": "pending_human_screening", "screened_by": "auto-v1.0.0" }, { "id": "doi:10.1109/itec-india59098.2023.10471444", "doi": "10.1109/itec-india59098.2023.10471444", "title": "Optimal Transition of Fleets to Electric Vehicle using Mathematical Optimization", "year": 2023, "authors": [ "Abhay Kumar", "Deepak Nagar", "Vinay Ramanath", "Smaran B.G Subbaiah" ], "first_author": "Abhay Kumar", "venue": "Itec India 2023 5th International Transportation Electrification Conference Eamrit Accelerating E Mobility Revolution for India S Transportation", "volume": null, "pages": null, "type": "conference-paper", "language": "en", "abstract": "Due to sustainability push around the world, lot of depot operators are transitioning their vehicle fleet to electric vehicles. A depot often comprises of hundreds of diesel-powered vehicles, such as buses, trucks, last-mile delivery vans, etc. Before depot owners begin the move to sustainable transportation, there are many questions that need to be addressed. What kind of vehicle and charging infrastructure are needed. How to reduce the capital investment and daily operational cost. This paper proposes a methodology for optimal transition of fleet to electric vehicles. Dispatching and charging are the two sub-problems that make up the main issue. The method of mixed integer linear programming has been used to create two distinct algorithms. In order to maximize the use of electric vehicles, dispatch optimizes the vehicle to route mapping, which also optimizes the vehicle infrastructure. Its charge schedules are developed based on the vehicle route mapping and provided as input to the charging algorithm. Where power requirement is optimized for minimum depot peak power and charging cost, thus minimizing the charging infrastructure and daily operational cost.", "keywords": [ "Transition (genetics)", "Computer science", "Electric vehicle", "Physics", "Chemistry", "Thermodynamics" ], "cited_by_openalex": 3, "cited_by_scopus": "3", "eid": "2-s2.0-85189936400", "pii": null, "open_access_url": "https://doi.org/10.1109/itec-india59098.2023.10471444", "sources": [ { "db": "openalex", "stream": "TRUCK", "query_id": "TRUCK-1" }, { "db": "openalex", "stream": "TRUCK", "query_id": "TRUCK-3" }, { "db": "scopus", "stream": "TRUCK", "query_id": "TRUCK-1" }, { "db": "scopus", "stream": "TRUCK", "query_id": "TRUCK-3" } ], "streams": [ "TRUCK" ], "relevance_signals": [ "TRUCK" ], "auto_exclude_reason": null, "screening_status": "pending_human_screening", "screened_by": "auto-v1.0.0" }, { "id": "doi:10.4324/9781003241478-8", "doi": "10.4324/9781003241478-8", "title": "Drones", "year": 2023, "authors": [ "Matt Grote", "Andy Oakey", "Aliaksei Pilko", "Angela Smith", "Tom Cherrett" ], "first_author": "Matt Grote", "venue": null, "volume": null, "pages": null, "type": "book-chapter", "language": "en", "abstract": "This chapter discusses the practical realities of integrating drones into existing urban logistics supply chain infrastructures, and focuses on medical use cases and using first-hand experience of operating Beyond-Visual-Line-of-Sight flights. The majority of logistics studies have reflected on drones being used for the carriage of consumer goods parcels, replacing or supporting traditional delivery vehicles (e.g., vans/trucks/cargo bikes) that will have payload capacities far in excess of those typical for drones. In developed nations, the reliability of traditional logistics services using vans/trucks is one of their key strengths. Cost estimates were based on a future scenario where drone operations are routinely automated, removing the need for safety pilots for take-off/landing and enabling mission commanders to manage multiple drones simultaneously. Ultimately, drones must be able to deliver an urban logistics service that is reliable and, maybe most importantly for commercial drone operators, cost-effective.", "keywords": [ "Drone", "Computer science", "Biology", "Botany" ], "cited_by_openalex": 3, "cited_by_scopus": 0, "eid": null, "pii": null, "open_access_url": "https://doi.org/10.4324/9781003241478-8", "sources": [ { "db": "openalex", "stream": "TRUCK", "query_id": "TRUCK-1" }, { "db": "openalex", "stream": "UAV", "query_id": "UAV-1" } ], "streams": [ "TRUCK", "UAV" ], "relevance_signals": [ "UAV", "TRUCK" ], "auto_exclude_reason": null, "screening_status": "pending_human_screening", "screened_by": "auto-v1.0.0" }, { "id": "doi:10.1201/9781003261513-4", "doi": "10.1201/9781003261513-4", "title": "Geographic information systems and spatial analysis", "year": 2023, "authors": [ "Eiichi Taniguchi", "Russell George Thompson", "Ali Gul Qureshi" ], "first_author": "Eiichi Taniguchi", "venue": null, "volume": null, "pages": null, "type": "book-chapter", "language": "en", "abstract": "Chapter 3 describes how spatial analysis tools can be employed to create information that can be used by decision makers to enhance the performance of urban freight systems. An overview of Global Position Systems (GPS) and Geographic Information Systems (GIS) are presented. GPS provides a cheap and automated means of logging the movement of freight vehicles allowing analysis of routes as well as their performance to be undertaken. GIS can be used to map a range of freight related data that can provide information that links various stakeholder interests. This chapter highlights how interactive spatial analysis can be undertaken for improving the range of information available for designing and managing urban freight systems.", "keywords": [ "Geography", "Geographic information system", "Cartography", "Computer science" ], "cited_by_openalex": 3, "cited_by_scopus": 0, "eid": null, "pii": null, "open_access_url": "http://dx.doi.org/10.1201/9781003261513-4", "sources": [ { "db": "openalex", "stream": "TRUCK", "query_id": "TRUCK-1" }, { "db": "openalex", "stream": "TRUCK", "query_id": "TRUCK-2" } ], "streams": [ "TRUCK" ], "relevance_signals": [ "TRUCK" ], "auto_exclude_reason": null, "screening_status": "pending_human_screening", "screened_by": "auto-v1.0.0" }, { "id": "doi:10.1016/j.ifacol.2023.10.1209", "doi": "10.1016/j.ifacol.2023.10.1209", "title": "The Impact of Last-Mile Logistics: a Case Study on the Optimisation of Commercial Fleets through the European Union", "year": 2023, "authors": [ "Alessandro Nava", "Luciano G. Greco" ], "first_author": "Alessandro Nava", "venue": "IFAC-PapersOnLine", "volume": "56", "pages": "2371-2376", "type": "article", "language": "en", "abstract": "Over the last decade, many cities in the world have been facing the impact of urban population growth and rapid e-commerce spread on freight volumes and consequently on the number of road freight vehicles. These dynamics have fostered the central role of last-mile logistics. The transport sector is responsible for around 25% of total GHG global emissions, 30% of which are related to freight road transport. Urban freight transportation has remarkable implications in terms of air pollution, noise, and road security. In this context, the electrification of urban fleets could represent a viable and efficient solution to mitigate the environmental footprint of last-mile logistics. Furthermore, last-mile logistics also involves high organization costs and time inefficiencies for transportation firms and customers. The technological development of routing processes through a new optimized IT system (e.g., by means of digital twins) may play a key role in “greening” the last-mile logistic sector. In this research, we consider a case study of investments in Electric Vehicles, aiming at assessing their environmental and monetary costs and benefits, and the scalability of such a policy.", "keywords": [ "Business", "Last mile (transportation)", "Context (archaeology)", "Electrification", "Mile", "Transport engineering", "Electricity", "Engineering", "Geography" ], "cited_by_openalex": 3, "cited_by_scopus": "3", "eid": "2-s2.0-85183628009", "pii": "S2405896323016130", "open_access_url": "https://doi.org/10.1016/j.ifacol.2023.10.1209", "sources": [ { "db": "openalex", "stream": "TRUCK", "query_id": "TRUCK-1" }, { "db": "openalex", "stream": "TRUCK", "query_id": "TRUCK-2" }, { "db": "scopus", "stream": "TRUCK", "query_id": "TRUCK-1" }, { "db": "scopus", "stream": "TRUCK", "query_id": "TRUCK-2" } ], "streams": [ "TRUCK" ], "relevance_signals": [ "TRUCK" ], "auto_exclude_reason": null, "screening_status": "pending_human_screening", "screened_by": "auto-v1.0.0" }, { "id": "doi:10.1016/j.procs.2023.03.124", "doi": "10.1016/j.procs.2023.03.124", "title": "How the Street Network Slope Influences Fuel Consumption in Urban Freight Routing", "year": 2023, "authors": [ "Javier Yesid Mahecha Nuñez", "Rafael Humberto Rojas Millán", "Juan José Cabello Eras", "Oscar Pinto Garralaga", "Gustavo Gatica" ], "first_author": "Javier Yesid Mahecha Nuñez", "venue": "Procedia Computer Science", "volume": "220", "pages": "909-915", "type": "conference-paper", "language": "en", "abstract": "Although there are many investigations on the problem of vehicle routing, few consider the real slope changes in the road networks of cities. The objective of this work is to calculate the effect that the slopes of a road network can have on fuel consumption, combining a metaheuristic solution algorithm, traffic characterization and an algorithm for the calculation of road slopes. The results of the model show that considering the slope in the urban merchandise distribution model can increase the estimates of fuel consumption by 28.67%.", "keywords": [ "Computer science", "Fuel efficiency", "Routing (electronic design automation)", "Traffic network", "Vehicle routing problem", "Routing algorithm", "Work (physics)", "Consumption (sociology)", "Transport engineering", "Automotive engineering", "Computer network", "Routing protocol" ], "cited_by_openalex": 2, "cited_by_scopus": "3", "eid": "2-s2.0-85164459783", "pii": "S1877050923006592", "open_access_url": "https://doi.org/10.1016/j.procs.2023.03.124", "sources": [ { "db": "openalex", "stream": "TRUCK", "query_id": "TRUCK-2" }, { "db": "scopus", "stream": "TRUCK", "query_id": "TRUCK-2" } ], "streams": [ "TRUCK" ], "relevance_signals": [ "NO_TECHNOLOGY_MATCH" ], "auto_exclude_reason": "EC-4-topic", "screening_status": "auto_excluded", "screened_by": "auto-v1.0.0" }, { "id": "doi:10.4324/9781003241478-19", "doi": "10.4324/9781003241478-19", "title": "Multi-echelon Urban Distribution Networks", "year": 2023, "authors": [ "Imen Ben Mohamed", "Olivier Labarthe", "Yann Bouchery", "Walid Klibi", "Gautier Stauffer" ], "first_author": "Imen Ben Mohamed", "venue": null, "volume": null, "pages": null, "type": "book-chapter", "language": "en", "abstract": "This chapter presents two-echelon location and routing models and discusses their characteristics and solvability. It describes new paradigms in urban logistics and their challenges related to governance, green logistics, smart cities, and hyperconnected logistics. Designing distribution networks has critical impacts for city logistics stakeholders on cost, revenue and service levels to the city citizens. Using mathematical models to design the optimal distribution network is particularly constrained by the characterization of the operating environment and multiple factors such as demand, product portfolio, inventory levels, response time and returnability. The chapter focuses on the routing approaches dedicated to cargo bikes as this one is among the fastest-growing delivery modes in urban areas. A special emerging problem that challenges urban distribution and fits into the two-echelon setting is omnichannel retailing. The major challenge for cities and operators lies in the positioning of the transshipment and the resulting logistics organization: upstream for their supply, and downstream for delivery to customers.", "keywords": [ "Distribution (mathematics)", "Computer science", "Geography", "Environmental science", "Mathematics" ], "cited_by_openalex": 3, "cited_by_scopus": 0, "eid": null, "pii": null, "open_access_url": "https://doi.org/10.4324/9781003241478-19", "sources": [ { "db": "openalex", "stream": "TRUCK", "query_id": "TRUCK-2" } ], "streams": [ "TRUCK" ], "relevance_signals": [ "NO_TECHNOLOGY_MATCH" ], "auto_exclude_reason": "EC-4-topic", "screening_status": "auto_excluded", "screened_by": "auto-v1.0.0" }, { "id": "doi:10.1016/j.trpro.2023.11.329", "doi": "10.1016/j.trpro.2023.11.329", "title": "Analysis of contemporary scientific achievements in the field of Urban Freight Transport in terms of the use of knowledge-based management", "year": 2023, "authors": [ "Stanisław Iwan", "Mariusz Jedliński", "Katarzyna Sosik", "Oleksandra Osypchuk", "Mariusz Nürnberg" ], "first_author": "Stanisław Iwan", "venue": "Transportation research procedia", "volume": "72", "pages": "4388-4395", "type": "article", "language": "en", "abstract": "One of the most important city logistics problem is the lack of knowledge resources related to the freight flows and routes at the city area. In recent years some works related to these issues have been realized. Nevertheless, it seems that problem is still not solved on the appropriate level. Due to that the assessment of the past and present city logistics projects and activities related to that is an important objective of research work. The paper is focused on the results of state-of-the-art analysis made as a first stage of project GRASS-NEXT, realized under Norwegian Financial Mechanism 2014-2019. The analysis was realized in the context of knowledge management specificity, with the special attention on data analysis, including data mining processes related to the freight traffic in the cities as well as the routing problems of city logistics fleets.", "keywords": [ "Traffic management", "City logistics", "Context (archaeology)", "Work (physics)", "Transport engineering", "Norwegian", "Business", "Engineering", "Geography" ], "cited_by_openalex": 2, "cited_by_scopus": "3", "eid": "2-s2.0-85182933251", "pii": "S2352146523006269", "open_access_url": "https://doi.org/10.1016/j.trpro.2023.11.329", "sources": [ { "db": "openalex", "stream": "TRUCK", "query_id": "TRUCK-2" }, { "db": "scopus", "stream": "TRUCK", "query_id": "TRUCK-2" } ], "streams": [ "TRUCK" ], "relevance_signals": [ "NO_TECHNOLOGY_MATCH" ], "auto_exclude_reason": "EC-4-topic", "screening_status": "auto_excluded", "screened_by": "auto-v1.0.0" }, { "id": "doi:10.1016/j.cie.2023.109629", "doi": "10.1016/j.cie.2023.109629", "title": "Analyzing the benefits of a city hub: An inventory and routing perspective", "year": 2023, "authors": [ "Titi Iswari", "An Caris", "Kris Braekers" ], "first_author": "Titi Iswari", "venue": "Computers & Industrial Engineering", "volume": "185", "pages": null, "type": "article", "language": "en", "abstract": null, "keywords": [ "TRIPS architecture", "City logistics", "Vehicle routing problem", "Context (archaeology)", "Operations research", "Consolidation (business)", "Transport engineering", "Metaheuristic", "Computer science", "Routing (electronic design automation)", "Baseline (sea)", "Business" ], "cited_by_openalex": 3, "cited_by_scopus": "3", "eid": "2-s2.0-85173163216", "pii": "S0360835223006538", "open_access_url": "https://doi.org/10.1016/j.cie.2023.109629", "sources": [ { "db": "openalex", "stream": "TRUCK", "query_id": "TRUCK-2" }, { "db": "scopus", "stream": "TRUCK", "query_id": "TRUCK-2" } ], "streams": [ "TRUCK" ], "relevance_signals": [ "NO_TECHNOLOGY_MATCH" ], "auto_exclude_reason": "EC-4-topic", "screening_status": "auto_excluded", "screened_by": "auto-v1.0.0" }, { "id": "doi:10.1002/bbb.2537", "doi": "10.1002/bbb.2537", "title": "Optimization of herbaceous feedstock delivery to a network of supply depots for a biorefinery in the Piedmont, USA", "year": 2023, "authors": [ "Jonathan P. Resop", "John S. Cundiff" ], "first_author": "Jonathan P. Resop", "venue": "Biofuels Bioproducts and Biorefining", "volume": "17", "pages": "1528-1540", "type": "article", "language": "en", "abstract": "Abstract The southeastern USA has the potential to be a significant producer of bio‐based products; however, research is still needed to demonstrate the most cost‐effective feedstock delivery system for this region. A logistic system that has shown promise is one utilizing a network of supply depots. This study calculated the cost to produce a stream of size‐reduced herbaceous biomass (i.e., switchgrass) for five theoretical depots in the Piedmont province. Three depots were located in south central Virginia and two in north central North Carolina. A logistics system with a 20‐bale handling unit was used for load‐out operations at 199 theoretical satellite storage locations (SSLs) within a 48 km radius of each depot location. The distribution of potential production fields and the transportation distance from SSLs to the depots were determined with spatial and network analyses. Based on an analysis of potential land cover available for feedstock production, the annual capacity per depot ranged from 80 839 to 170 830 Mg, resulting in a total annual capacity of 555 195 Mg for all five depots. Cost to deliver feedstock for 24/7 operation, 48 weeks per year ranged from 46.03 to 62.86 USD Mg−1 annual capacity. At the low end, these costs were: SSL operation (22%), truck (29%), receiving facility (26%), and debaling‐size‐reduction (23%). The principle economy‐of‐scale factors were the receiving facility and debaling‐size‐reduction costs. To minimize per‐Mg cost, depot capacity should be chosen such that equipment can be operated as close to 80% of design capacity as possible.", "keywords": [ "Raw material", "Environmental science", "Truck", "Total cost", "Biorefinery", "Biomass (ecology)", "Environmental engineering", "Engineering", "Business", "Ecology" ], "cited_by_openalex": 3, "cited_by_scopus": "3", "eid": "2-s2.0-85170690335", "pii": null, "open_access_url": "https://onlinelibrary.wiley.com/doi/pdfdirect/10.1002/bbb.2537", "sources": [ { "db": "openalex", "stream": "TRUCK", "query_id": "TRUCK-3" }, { "db": "scopus", "stream": "TRUCK", "query_id": "TRUCK-3" } ], "streams": [ "TRUCK" ], "relevance_signals": [ "TRUCK_NO_CTX" ], "auto_exclude_reason": "EC-4-topic", "screening_status": "auto_excluded", "screened_by": "auto-v1.0.0" }, { "id": "doi:10.1007/s11067-023-09611-1", "doi": "10.1007/s11067-023-09611-1", "title": "Selective Backhauls in Truck Transport with Risk Mitigation: Large Belgian Retailer Case Study", "year": 2023, "authors": [ "Kenneth Stoop", "Mario Pickavet", "Didier Colle", "Pieter Audenaert" ], "first_author": "Kenneth Stoop", "venue": "Networks and Spatial Economics", "volume": "24", "pages": "99-130", "type": "article", "language": "en", "abstract": null, "keywords": [ "Truck", "Profit (economics)", "Intuition", "Operations research", "Linear programming", "Vendor", "Computer science", "Business", "Mathematical optimization", "Transport engineering", "Microeconomics", "Economics" ], "cited_by_openalex": 3, "cited_by_scopus": "3", "eid": "2-s2.0-85178952873", "pii": null, "open_access_url": "https://doi.org/10.1007/s11067-023-09611-1", "sources": [ { "db": "openalex", "stream": "TRUCK", "query_id": "TRUCK-3" }, { "db": "scopus", "stream": "TRUCK", "query_id": "TRUCK-3" } ], "streams": [ "TRUCK" ], "relevance_signals": [ "TRUCK_NO_CTX" ], "auto_exclude_reason": "EC-4-topic", "screening_status": "auto_excluded", "screened_by": "auto-v1.0.0" }, { "id": "doi:10.1007/s00291-022-00702-y", "doi": "10.1007/s00291-022-00702-y", "title": "The parcel hub scheduling problem with limited conveyor capacity and controllable unloading speeds", "year": 2023, "authors": [ "Stefan Bugow", "Carolin Kellenbrink" ], "first_author": "Stefan Bugow", "venue": "OR Spectrum", "volume": null, "pages": null, "type": "article", "language": "en", "abstract": "Abstract We investigate a specific truck scheduling problem at cross-docks in the postal service industry on an operational level aiming to maximise the number of duly parcels assuming fixed departure times of the outbound trucks. The inbound gates and the conveyors as means of transportation inside the hub constitute the bottleneck resources. As a novel extension, we propose flexible unloading speeds to efficiently utilise the scarce resources. We formalise the problem with a mixed integer program and explicitly incorporate controllable unloading speeds of the inbound trucks. We determine the computational complexity and develop a genetic algorithm to efficiently solve the problem. Our investigation focuses on both the performance of the genetic algorithm and the applicability of the results in a real-world environment by implementing scheduling policies in a simulation model that considers individual parcel interactions. Based on our experimental results, we can state that especially in problem settings with scarce conveyor capacities, our approach to incorporate controllable unloading speeds has the potential of significantly increasing the number of duly parcels.", "keywords": [ "Bottleneck", "Truck", "Computer science", "Scheduling (production processes)", "Job shop scheduling", "Mathematical optimization", "Operations research", "Genetic algorithm", "Distributed computing", "Routing (electronic design automation)", "Computer network", "Engineering" ], "cited_by_openalex": 3, "cited_by_scopus": 0, "eid": null, "pii": null, "open_access_url": "https://link.springer.com/content/pdf/10.1007/s00291-022-00702-y.pdf", "sources": [ { "db": "openalex", "stream": "TRUCK", "query_id": "TRUCK-3" } ], "streams": [ "TRUCK" ], "relevance_signals": [ "TRUCK" ], "auto_exclude_reason": null, "screening_status": "pending_human_screening", "screened_by": "auto-v1.0.0" }, { "id": "doi:10.14569/ijacsa.2023.0140967", "doi": "10.14569/ijacsa.2023.0140967", "title": "An MILP-based Lexicographic Approach for Robust Selective Full Truckload Vehicle Routing Problem", "year": 2023, "authors": [ "Karim El Bouyahyiouy", "Anouar Annouch", "Adil Bellabdaoui" ], "first_author": "Karim El Bouyahyiouy", "venue": "International Journal of Advanced Computer Science and Applications", "volume": "14", "pages": "642-650", "type": "article", "language": "en", "abstract": "Full truckload (FTL) shipment is one of the largest trucking modes. It is an essential part of the transportation industry, where the carriers are required to move FTL transportation demands (orders) at a minimal cost between pairs of locations using a certain number of trucks available at the depots. The drivers who pick up and deliver these orders must return to their home depots within a given time. In practice, satisfying those orders within a given time frame (e.g., one day) could be impossible while adhering to all operational constraints. As a result, the investigated problem is distinguished by the selective aspect, in which only a subset of transportation demands is serviced. Furthermore, travel times between nodes can be uncertain and vary depending on various possible scenarios. The robustness subsequently consists of identifying a feasible solution in all scenarios. Therefore, this study introduces an MILP-based lexicographic approach to solve a robust selective full truckload vehicle routing problem (RSFTVRP). We demonstrated the proposed method’s efficiency through experimental results on newly generated instances for the considered problem.", "keywords": [ "Computer science", "Truck", "Lexicographical order", "Robustness (evolution)", "Vehicle routing problem", "Mathematical optimization", "Routing (electronic design automation)", "Frame (networking)", "Operations research", "Computer network", "Automotive engineering", "Mathematics" ], "cited_by_openalex": 2, "cited_by_scopus": "3", "eid": "2-s2.0-85173626459", "pii": null, "open_access_url": "https://thesai.org/Downloads/Volume14No9/Paper_67-An_MILP_based_Lexicographic_Approach.pdf", "sources": [ { "db": "openalex", "stream": "TRUCK", "query_id": "TRUCK-3" }, { "db": "scopus", "stream": "TRUCK", "query_id": "TRUCK-3" } ], "streams": [ "TRUCK" ], "relevance_signals": [ "TRUCK_NO_CTX" ], "auto_exclude_reason": "EC-4-topic", "screening_status": "auto_excluded", "screened_by": "auto-v1.0.0" }, { "id": "doi:10.3390/drones8010006", "doi": "10.3390/drones8010006", "title": "Paving the Way for Last-Mile Delivery in Greece: Data-Driven Performance Analysis with a Customized Quadrotor", "year": 2023, "authors": [ "Charalabos Ioannidis", "A.-M. Boutsi", "Georgios Tsingenopoulos", "Sofia Soile", "Regina Chliverou", "Chryssy Potsiou" ], "first_author": "Charalabos Ioannidis", "venue": "Drones", "volume": "8", "pages": null, "type": "article", "language": "en", "abstract": "Cargo drones are a cutting-edge solution that is becoming increasingly popular as flight times extend and regulatory frameworks evolve to accommodate new delivery methods. The aim of this paper was to comprehensively understand cargo drone dynamics and guide their effective deployment in Greece. A 5 kg payload quadrotor with versatile loading mechanisms, including a cable-suspended system and an ultra-light box, was manufactured and tested in five Greek cities. A comprehensive performance evaluation and analysis of flight range, energy consumption, altitude-related data accuracy, cost-effectiveness, and environmental were conducted. Based on hands-on experimentation and real-world data collection, the study proposes a novel data-driven methodology for strategically locating charging stations and addressing uncertainties like weather conditions and battery discharge during flights. Results indicate significant operational cost savings (89.44%) and a maximum emissions reduction (77.42%) compared to conventional transportation. The proposed strategic placement of charging stations led to substantial reductions in travel distance (41.03%) and energy consumption (56.73%) across five case studies in Greek cities.", "keywords": [ "Drone", "Payload (computing)", "Software deployment", "Last mile (transportation)", "Energy consumption", "Mile", "Computer science", "Data collection", "Range (aeronautics)", "Transport engineering", "Operations research", "Aeronautics" ], "cited_by_openalex": 5, "cited_by_scopus": "3", "eid": "2-s2.0-85183199327", "pii": null, "open_access_url": "https://www.mdpi.com/2504-446X/8/1/6/pdf?version=1703863758", "sources": [ { "db": "openalex", "stream": "UAV", "query_id": "UAV-1" }, { "db": "scopus", "stream": "UAV", "query_id": "UAV-1" } ], "streams": [ "UAV" ], "relevance_signals": [ "UAV" ], "auto_exclude_reason": null, "screening_status": "pending_human_screening", "screened_by": "auto-v1.0.0" }, { "id": "doi:10.1007/978-3-031-37765-5_10", "doi": "10.1007/978-3-031-37765-5_10", "title": "Approximation Algorithms for Drone Delivery Scheduling Problem", "year": 2023, "authors": [ "Saswata Jana", "Partha Sarathi Mandal" ], "first_author": "Saswata Jana", "venue": "Lecture notes in computer science", "volume": "14067 LNCS", "pages": "125-140", "type": "conference-paper", "language": "en", "abstract": null, "keywords": [ "Drone", "Computer science", "Rounding", "Mathematical optimization", "Approximation algorithm", "Scheduling (production processes)", "Integer programming", "Job shop scheduling", "Polynomial-time approximation scheme", "Algorithm", "Mathematics", "Computer network" ], "cited_by_openalex": 2, "cited_by_scopus": "3", "eid": "2-s2.0-85171180055", "pii": null, "open_access_url": "https://doi.org/10.1007/978-3-031-37765-5_10", "sources": [ { "db": "openalex", "stream": "UAV", "query_id": "UAV-1" }, { "db": "scopus", "stream": "TRUCK", "query_id": "TRUCK-1" }, { "db": "scopus", "stream": "UAV", "query_id": "UAV-1" } ], "streams": [ "TRUCK", "UAV" ], "relevance_signals": [ "UAV_NO_CTX" ], "auto_exclude_reason": "EC-4-topic", "screening_status": "auto_excluded", "screened_by": "auto-v1.0.0" }, { "id": "doi:10.1109/wsc60868.2023.10407713", "doi": "10.1109/wsc60868.2023.10407713", "title": "A Two-Stage Stochastic Model For Drone Delivery System With Uncertainty In Customer Demands", "year": 2023, "authors": [ "Xudong Wang", "Gerald Jones", "Xueping Li" ], "first_author": "Xudong Wang", "venue": "Proceedings Winter Simulation Conference", "volume": null, "pages": "1876-1887", "type": "conference-paper", "language": "en", "abstract": "Drone delivery is a popular logistics method for e-commerce businesses due to its efficiency and convenience, especially for last-mile delivery and emergency situations in areas with poor infrastructure. However, the uncertainty of customer demands can affect transportation costs in the long run, making it vital to design an effective delivery system. To tackle this issue, we propose a two-stage stochastic model that minimizes the sum of fixed and expected operating costs. The first stage minimizes the total cost of the delivery system, including the facilities fixed costs and expected operating costs, while the second stage arranges drones’ routes according to simulated demands to estimate the minimal expected transportation cost and penalty cost. Since this stochastic programming has infinite scenarios, we deploy a sample average approximation method to estimate its bounds. Additionally, we use a heuristic simulation framework to find a satisfactory solution in an acceptable time.", "keywords": [ "Drone", "Stage (stratigraphy)", "Computer science", "Geology" ], "cited_by_openalex": 1, "cited_by_scopus": "3", "eid": "2-s2.0-85185375059", "pii": null, "open_access_url": "http://dx.doi.org/10.1109/wsc60868.2023.10407713", "sources": [ { "db": "openalex", "stream": "UAV", "query_id": "UAV-1" }, { "db": "scopus", "stream": "UAV", "query_id": "UAV-1" } ], "streams": [ "UAV" ], "relevance_signals": [ "UAV" ], "auto_exclude_reason": null, "screening_status": "pending_human_screening", "screened_by": "auto-v1.0.0" }, { "id": "doi:10.48550/arxiv.2301.01755", "doi": "10.48550/arxiv.2301.01755", "title": "Autonomous Drone Racing: A Survey", "year": 2023, "authors": [ "Drew Hanover", "Antonio Loquercio", "Leonard Bauersfeld", "Ángel Romero", "Robert Pěnička", "Yunlong Song", "Giovanni Cioffi", "Elia Kaufmann", "Davide Scaramuzza" ], "first_author": "Drew Hanover", "venue": "arXiv (Cornell University)", "volume": null, "pages": null, "type": "preprint", "language": "en", "abstract": "Over the last decade, the use of autonomous drone systems for surveying, search and rescue, or last-mile delivery has increased exponentially. With the rise of these applications comes the need for highly robust, safety-critical algorithms which can operate drones in complex and uncertain environments. Additionally, flying fast enables drones to cover more ground which in turn increases productivity and further strengthens their use case. One proxy for developing algorithms used in high-speed navigation is the task of autonomous drone racing, where researchers program drones to fly through a sequence of gates and avoid obstacles as quickly as possible using onboard sensors and limited computational power. Speeds and accelerations exceed over 80 kph and 4 g respectively, raising significant challenges across perception, planning, control, and state estimation. To achieve maximum performance, systems require real-time algorithms that are robust to motion blur, high dynamic range, model uncertainties, aerodynamic disturbances, and often unpredictable opponents. This survey covers the progression of autonomous drone racing across model-based and learning-based approaches. We provide an overview of the field, its evolution over the years, and conclude with the biggest challenges and open questions to be faced in the future.", "keywords": [ "Drone", "Computer science", "Aeronautics", "Artificial intelligence", "Real-time computing", "Simulation", "Engineering" ], "cited_by_openalex": 3, "cited_by_scopus": 0, "eid": null, "pii": null, "open_access_url": "https://arxiv.org/pdf/2301.01755", "sources": [ { "db": "openalex", "stream": "UAV", "query_id": "UAV-1" } ], "streams": [ "UAV" ], "relevance_signals": [ "UAV" ], "auto_exclude_reason": null, "screening_status": "pending_human_screening", "screened_by": "auto-v1.0.0" }, { "id": "doi:10.1109/apeie59731.2023.10347781", "doi": "10.1109/apeie59731.2023.10347781", "title": "Application of a Genetic Algorithm in Planning the Optimal Route of Unmanned Aerial Vehicles Used for Large Area Monitoring", "year": 2023, "authors": [ "Aleksey S. Rodionov", "Tulkin Matkurbanov", "Madina R. Yagibayeva" ], "first_author": "Aleksey S. Rodionov", "venue": "Proceedings of the 2023 IEEE 16th International Scientific and Technical Conference Actual Problems of Electronic Instrument Engineering Apeie 2023", "volume": null, "pages": "1560-1564", "type": "conference-paper", "language": "en", "abstract": "Military, construction, picture and video mapping, medical, search and rescue, parcel delivery, covert area survey, oil rig and power line monitoring are just a few of the applications for unmanned aerial vehicles (UAVs). UAVs are gaining popularity as a model for agricultural, wireless communications and aerial surveillance, as well as service and delivery. Unmanned aerial vehicle (UAV) research has attracted a lot of interest in recent decades due to the rapid growth of computer technology, autonomous control technology, and communication technology. In various industries, including aviation, unmanned systems are replacing manned systems. Due to their high success rates in military and civilian missions, unmanned aerial vehicles (UAVs), one of the most popular and successful unmanned systems, are gradually becoming an important part of the industry. air. The biggest problem with drones is finding the best trajectory in difficult conditions. It seeks to tour all control locations as efficiently as possible in order to receive information from sensors set in wide areas. In this paper, we employed a Genetic Algorithm (GA) to discover the best flight path for unmanned aerial vehicles (UAVs) in a three-dimensional environment, i.e. space. One of the important elements in the suggested strategy is solving the travelling salesman problem (TSP) to find the optimal path. In the future, we can enhance the complexity of our problem through the addition of new constraints imposed by the dynamic environment in which we operate. The experimental results suggest that GA can be used to optimize UAV path planning.", "keywords": [ "Drone", "Motion planning", "Computer science", "Search and rescue", "Flight plan", "Genetic algorithm", "Travelling salesman problem", "Real-time computing", "Aeronautics", "Robot", "Engineering", "Artificial intelligence" ], "cited_by_openalex": 3, "cited_by_scopus": "3", "eid": "2-s2.0-85182264716", "pii": null, "open_access_url": "https://doi.org/10.1109/apeie59731.2023.10347781", "sources": [ { "db": "openalex", "stream": "UAV", "query_id": "UAV-1" }, { "db": "scopus", "stream": "UAV", "query_id": "UAV-1" }, { "db": "scopus", "stream": "UAV", "query_id": "UAV-2" } ], "streams": [ "UAV" ], "relevance_signals": [ "UAV" ], "auto_exclude_reason": null, "screening_status": "pending_human_screening", "screened_by": "auto-v1.0.0" }, { "id": "doi:10.1109/icecet58911.2023.10389555", "doi": "10.1109/icecet58911.2023.10389555", "title": "Image Registration for Virtual Drone Flight Simulation", "year": 2023, "authors": [ "Konrad Koniarski", "Andrzej Myśliński" ], "first_author": "Konrad Koniarski", "venue": "International Conference on Electrical Computer and Energy Technologies Icecet 2023", "volume": null, "pages": null, "type": "conference-paper", "language": "en", "abstract": "In the past decade, drones have expanded their applications, such as surveying, search and rescue, and last-mile delivery. Drone autonomy is a growing focus in these areas, requiring test environments for both drone operators and autonomous algorithms. This work addresses the creation of a realistic test environment for accurate position perception, motion planning, and drone control. Our approach uses RGB-D sensors and image registration techniques to construct a 3D map of the real environment, enabling drone navigation simulation. We adapt the Iterative Closest Point (ICP) algorithm, incorporating feature point filtering and local optical flow to expedite 3D point processing, particularly in static scenes. A challenge in the standard ICP algorithm is selecting suitable initial points for effective matching between consecutive point clouds. Our modified approach tackles this issue, optimizing the algorithm for 3D map construction. Since our application involves RGB-D image sequences with minimal variation between successive key frames, we use a scale-space pyramid and FAST techniques to select a limited number of key points, reducing the computational load. Moreover, by employing a local optical flow-based point-matching approach, we eliminate resource-intensive operations in each ICP optimization iteration. We demonstrate the practical utility of our method through a virtual 3D drone flight simulator.", "keywords": [ "Drone", "Computer science", "Iterative closest point", "Computer vision", "Point cloud", "Artificial intelligence", "Optical flow", "Real-time computing", "Image (mathematics)" ], "cited_by_openalex": 3, "cited_by_scopus": "3", "eid": "2-s2.0-85187247429", "pii": null, "open_access_url": "http://dx.doi.org/10.1109/icecet58911.2023.10389555", "sources": [ { "db": "openalex", "stream": "UAV", "query_id": "UAV-1" }, { "db": "scopus", "stream": "UAV", "query_id": "UAV-1" } ], "streams": [ "UAV" ], "relevance_signals": [ "UAV" ], "auto_exclude_reason": null, "screening_status": "pending_human_screening", "screened_by": "auto-v1.0.0" }, { "id": "doi:10.2139/ssrn.4463493", "doi": "10.2139/ssrn.4463493", "title": "Pseudo Node Insertion Method for Synchronization in Drone-Truck Combined Operations", "year": 2023, "authors": [ "Sung Hoon Chung", "Bhawesh Sah", "Jinkun Lee" ], "first_author": "Sung Hoon Chung", "venue": "SSRN Electronic Journal", "volume": null, "pages": null, "type": "preprint", "language": "en", "abstract": null, "keywords": [ "Drone", "Truck", "Node (physics)", "Synchronization (alternating current)", "Computer science", "Aeronautics", "Time synchronization", "Real-time computing", "Engineering", "Computer network", "Aerospace engineering", "Biology" ], "cited_by_openalex": 3, "cited_by_scopus": 0, "eid": null, "pii": null, "open_access_url": "https://doi.org/10.2139/ssrn.4463493", "sources": [ { "db": "openalex", "stream": "UAV", "query_id": "UAV-1" } ], "streams": [ "UAV" ], "relevance_signals": [ "UAV_NO_CTX", "TRUCK_NO_CTX" ], "auto_exclude_reason": "EC-4-topic", "screening_status": "auto_excluded", "screened_by": "auto-v1.0.0" }, { "id": "doi:10.3390/s23218757", "doi": "10.3390/s23218757", "title": "A Study on Generative Models for Visual Recognition of Unknown Scenes Using a Textual Description", "year": 2023, "authors": [ "José Martínez-Carranza", "Delia Irazú Hernández-Farías", "Victoria Eugenia Vazquez-Meza", "Leticia Oyuki Rojas-Perez", "Aldrich A. Cabrera-Ponce" ], "first_author": "José Martínez-Carranza", "venue": "Sensors", "volume": "23", "pages": null, "type": "article", "language": "en", "abstract": "In this study, we investigate the application of generative models to assist artificial agents, such as delivery drones or service robots, in visualising unfamiliar destinations solely based on textual descriptions. We explore the use of generative models, such as Stable Diffusion, and embedding representations, such as CLIP and VisualBERT, to compare generated images obtained from textual descriptions of target scenes with images of those scenes. Our research encompasses three key strategies: image generation, text generation, and text enhancement, the latter involving tools such as ChatGPT to create concise textual descriptions for evaluation. The findings of this study contribute to an understanding of the impact of combining generative tools with multi-modal embedding representations to enhance the artificial agent's ability to recognise unknown scenes. Consequently, we assert that this research holds broad applications, particularly in drone parcel delivery, where an aerial robot can employ text descriptions to identify a destination. Furthermore, this concept can also be applied to other service robots tasked with delivering to unfamiliar locations, relying exclusively on user-provided textual descriptions.", "keywords": [ "Generative grammar", "Artificial intelligence", "Generative model", "Computer science", "Natural language processing", "Pattern recognition (psychology)", "Computer vision" ], "cited_by_openalex": 3, "cited_by_scopus": "3", "eid": "2-s2.0-85176886139", "pii": null, "open_access_url": "https://www.mdpi.com/1424-8220/23/21/8757/pdf?version=1698389547", "sources": [ { "db": "openalex", "stream": "UAV", "query_id": "UAV-1" }, { "db": "scopus", "stream": "UAV", "query_id": "UAV-1" } ], "streams": [ "UAV" ], "relevance_signals": [ "UAV" ], "auto_exclude_reason": null, "screening_status": "pending_human_screening", "screened_by": "auto-v1.0.0" }, { "id": "doi:10.35266/1999-7604-2023-2-21-29", "doi": "10.35266/1999-7604-2023-2-21-29", "title": "A MODEL OF COOPERATED GROUP PURSUIT WITH DISTRIBUTION BY TARGETS", "year": 2023, "authors": [ "Alexander A. Dubanov" ], "first_author": "Alexander A. Dubanov", "venue": "Vestnik kibernetiki", "volume": null, "pages": null, "type": "article", "language": "en", "abstract": "The article considers the problems of modeling a table with a set of competing parties and a group pursuit of multiple targets. Each table cell represents a structural variable containing data about the predicted time required for an ith pursuer to reach a jth target. For each finite set of pursuer’s distribution by targets, the minimum time value of the pursuer’s reaching the target is selected out of all permissible max-imum ones. Upon analyzing the problems based on the models of real-world objects movements, the author suggests using them for simulation modeling, virtual modeling of game processes, and transport logistics, as well as for developing virtual reality models for parcel delivery performed by drones using a hub-network.", "keywords": [ "Pursuer", "Table (database)", "Computer science", "Set (abstract data type)", "Round table", "Group (periodic table)", "Drone", "Mathematical optimization", "Operations research", "Simulation", "Theoretical computer science", "Artificial intelligence" ], "cited_by_openalex": 3, "cited_by_scopus": 0, "eid": null, "pii": null, "open_access_url": "https://doi.org/10.35266/1999-7604-2023-2-21-29", "sources": [ { "db": "openalex", "stream": "UAV", "query_id": "UAV-1" } ], "streams": [ "UAV" ], "relevance_signals": [ "UAV" ], "auto_exclude_reason": null, "screening_status": "pending_human_screening", "screened_by": "auto-v1.0.0" }, { "id": "doi:10.1109/icnsc58704.2023.10319053", "doi": "10.1109/icnsc58704.2023.10319053", "title": "A hybrid algorithm for drone routing problem with time windows", "year": 2023, "authors": [ "Jiaxin Qu", "Jia Tao", "Dong Lei" ], "first_author": "Jiaxin Qu", "venue": "Icnsc 2023 20th IEEE International Conference on Networking Sensing and Control", "volume": null, "pages": null, "type": "conference-paper", "language": "en", "abstract": "Drone Routing Problem with Time Window (DRPTW) is an important extension of the logistics service routing optimization problem and has been proved to be an NP-hard problem. In this paper, DRPTW is formulated as a mixed integer nonlinear programming model considering nonlinear energy constraints. To solve this problem efficiently, we propose a hybrid metaheuristic algorithm combined with a genetic algorithm (GA) to generate a set of feasible routes. In addition, we incorporate a tabu search algorithm (TS) that uses a taboo table to store previously encountered solutions, ensuring that the best solution is not overlooked. To evaluate its performance, we test it with Solomon's VRPTW benchmark instances. The results show that a good solution can be obtained within an acceptable computation time. Furthermore, for the solution of the same delivery sequence route, we compared the impact on delivery completion with and without energy constraints, and found that the original delivery solution would be ineffective if the nonlinear energy constraints of the drone are not considered or approximated.", "keywords": [ "Mathematical optimization", "Computer science", "Benchmark (surveying)", "Metaheuristic", "Tabu search", "Vehicle routing problem", "Nonlinear programming", "Routing (electronic design automation)", "Integer programming", "Drone", "Genetic algorithm", "Algorithm" ], "cited_by_openalex": 3, "cited_by_scopus": "3", "eid": "2-s2.0-85179623551", "pii": null, "open_access_url": "https://doi.org/10.1109/icnsc58704.2023.10319053", "sources": [ { "db": "openalex", "stream": "UAV", "query_id": "UAV-2" }, { "db": "scopus", "stream": "UAV", "query_id": "UAV-1" }, { "db": "scopus", "stream": "UAV", "query_id": "UAV-2" } ], "streams": [ "UAV" ], "relevance_signals": [ "UAV_NO_CTX" ], "auto_exclude_reason": "EC-4-topic", "screening_status": "auto_excluded", "screened_by": "auto-v1.0.0" }, { "id": "doi:10.1109/itsc57777.2023.10422533", "doi": "10.1109/itsc57777.2023.10422533", "title": "Drone Delivery Routing with Stochastic Urban Wind", "year": 2023, "authors": [ "Minghao Chen", "Andrew W. Smyth", "Marco G. Giometto", "Max Z. Li" ], "first_author": "Minghao Chen", "venue": "IEEE Conference on Intelligent Transportation Systems Proceedings ITSC", "volume": null, "pages": "2260-2267", "type": "conference-paper", "language": "en", "abstract": "Urban areas present unique challenges for drone-based deliveries due to the spatially and temporally variable nature of the wind field at low altitudes. In this paper, we propose a novel approach to address these challenges and ensure safe and reliable drone delivery routings in windy urban environments. Our approach incorporates the stochastic and spatially heterogeneous urban wind field using scenario-based stochastic programming and probabilistic modeling techniques. We develop stochastic mixed integer linear programs (SMILPs) that integrate realistic wind scenarios generated via large-eddy simulations (LESs) with the stochastic drone routing problem (SDRP). We employ the simulated annealing (SA) algorithm, which effectively explores the solution space and handles hundreds of customers' requests in a short time. We compare the performance of SA implementation with SMILPs implementation on small cases and show its superiority in terms of solution quality. Through simulations and performance evaluations on large-scale instances, we demonstrate the effectiveness of our approach under different wind conditions and number of customers. We also conduct a sensitivity analysis to investigate the influence of operational altitude (i.e., the height of the wind field) on the performance of our method. Our results provide valuable insights for optimizing drone routing decisions in windy urban environments.", "keywords": [ "Drone", "Routing (electronic design automation)", "Computer science", "Computer network" ], "cited_by_openalex": 4, "cited_by_scopus": "3", "eid": "2-s2.0-85186515040", "pii": null, "open_access_url": "http://dx.doi.org/10.1109/itsc57777.2023.10422533", "sources": [ { "db": "openalex", "stream": "UAV", "query_id": "UAV-2" }, { "db": "openalex", "stream": "UAV", "query_id": "UAV-3" }, { "db": "scopus", "stream": "UAV", "query_id": "UAV-2" }, { "db": "scopus", "stream": "UAV", "query_id": "UAV-3" } ], "streams": [ "UAV" ], "relevance_signals": [ "UAV_NO_CTX" ], "auto_exclude_reason": "EC-4-topic", "screening_status": "auto_excluded", "screened_by": "auto-v1.0.0" }, { "id": "doi:10.1080/19427867.2023.2278855", "doi": "10.1080/19427867.2023.2278855", "title": "The paired pickup and delivery problem with profit in a two-echelon delivery system with multiple trucks and drones", "year": 2023, "authors": [ "Ebrahim Teimoury", "Reza Rashid" ], "first_author": "Ebrahim Teimoury", "venue": "Transportation Letters", "volume": "16", "pages": "1171-1187", "type": "article", "language": "en", "abstract": "Recently researchers proposed truck and drone coordination to increase delivery efficiency and suggested various truck-drone routing problems. In this paper, we also focused on truck and drone coordination and introduced the paired pickup and delivery problem with profit in a two-echelon delivery system. To solve the problem, we propose a hybrid variable neighborhood search algorithm. For this algorithm, we adapted existing neighborhood search operators from the literature and considering the structure of the proposed problem, developed new neighborhood search operators. Also, we have carried out numerous computational experiments to evaluate the proposed solution methods’ performance, where the results show the efficiency of the proposed algorithms. The results highlight that in the paired pickup and delivery problem, for small values of drone operational costs, employing the two-echelon truck and drone routing system increases the profit by up to 5.6 percent in comparison to the vehicle routing system with drones.", "keywords": [ "Drone", "Truck", "Pickup", "Vehicle routing problem", "Computer science", "Profit (economics)", "Routing (electronic design automation)", "Mathematical optimization", "Operations research", "Engineering", "Computer network", "Mathematics" ], "cited_by_openalex": 6, "cited_by_scopus": "3", "eid": "2-s2.0-85176210782", "pii": null, "open_access_url": "https://doi.org/10.1080/19427867.2023.2278855", "sources": [ { "db": "openalex", "stream": "UAV", "query_id": "UAV-2" }, { "db": "scopus", "stream": "UAV", "query_id": "UAV-2" } ], "streams": [ "UAV" ], "relevance_signals": [ "UAV_NO_CTX", "TRUCK_NO_CTX" ], "auto_exclude_reason": "EC-4-topic", "screening_status": "auto_excluded", "screened_by": "auto-v1.0.0" }, { "id": "doi:10.1109/wf-iot58464.2023.10539596", "doi": "10.1109/wf-iot58464.2023.10539596", "title": "3D Drone Path Planning Algorithms with Collision Avoidance: Collision Resolution vs. Prevention", "year": 2023, "authors": [ "Rutuja Shivgan", "Jorge H. Medina", "Ziqian Dong", "Roberto Rojas‐Cessa" ], "first_author": "Rutuja Shivgan", "venue": "2023 IEEE World Forum on Internet of Things the Blue Planet A Marriage of Sea and Space Wf Iot 2023", "volume": null, "pages": null, "type": "conference-paper", "language": "en", "abstract": "Because of their limited flight range, multiple drones are often deployed simultaneously to perform complex tasks. The flight path is planned for each drone to follow to complete the job before task execution. However, multi-drone path planning places drones at risk of in-flight collisions. To overcome this problem, we model the multi-drone path planning problem as a multi-vehicle routing problem that maximizes job coverage subject to collision-free paths. We propose three 3D collision-free path planning algorithms, namely, XTRACT, 3DETACH, and ASCEND. XTRACT and 3DETACH provide collision-free paths by setting partial paths at different altitudes while ASCEND prevents intersecting paths at the planning phase by selecting different altitudes. We limit the search processes to two altitudes to demonstrate sufficiency with the lowest height complexity. Through exhaustive evaluations, we compare the performance of the proposed schemes and show the trade-offs between resolving and preventing collisions from path planning. We identify the best-performing strategy by using a profit model to evaluate the plethora of applicable performance metrics.", "keywords": [ "Drone", "Motion planning", "Computer science", "Collision", "Collision avoidance", "Path (computing)", "Collision detection", "Any-angle path planning", "Real-time computing", "Algorithm", "Mathematical optimization", "Simulation" ], "cited_by_openalex": 3, "cited_by_scopus": "3", "eid": "2-s2.0-85195411102", "pii": null, "open_access_url": "https://doi.org/10.1109/wf-iot58464.2023.10539596", "sources": [ { "db": "openalex", "stream": "UAV", "query_id": "UAV-2" }, { "db": "scopus", "stream": "UAV", "query_id": "UAV-2" } ], "streams": [ "UAV" ], "relevance_signals": [ "UAV_NO_CTX" ], "auto_exclude_reason": "EC-4-topic", "screening_status": "auto_excluded", "screened_by": "auto-v1.0.0" }, { "id": "doi:10.1109/icccbda56900.2023.10154746", "doi": "10.1109/icccbda56900.2023.10154746", "title": "Swarm Intelligence Optimization of UAV Routing with Simultaneously Stochastic Pick-up and Delivery during COVID-19", "year": 2023, "authors": [ "Haoyan Yang", "Huihui Zhang", "Yuao Qin", "Tian Tang" ], "first_author": "Haoyan Yang", "venue": "2023 8th International Conference on Cloud Computing and Big Data Analytics Icccbda 2023", "volume": null, "pages": "579-587", "type": "conference-paper", "language": "en", "abstract": "During the COVID-19 pandemic, it is imperative to distribute daily supplies to residents in lockdown communities and collect their household garbage. Unmanned Aerial Vehicle (UAV) logistics offers a contactless solution, but the limitations of load and maintenance costs must be considered. Therefore, it is crucial to plan UAV transportation routes effectively to minimize overall transportation costs. Additionally, the stochasticity of household garbage quality further complicates UAV delivery. We address this issue by formulating the problem as vehicle routing problem with simultaneous stochastic pickups and deliveries (VRPSSPD) and develop a range of swarm intelligent optimization algorithms (SIOAs) to solve it. Our experiments demonstrate that the Artificial Bee Colony (ABC) algorithm and Shuffled Frog Leaping Algorithm (SFLA) are well-suited to this practical problem. Moreover, to address the long convergence time of SFLA, we propose the General Center SFLA based on Roulette Wheel Selection (RWS-GC-SFLA) to improve it. Our experimental results show that RWS-GC-SFLA can improve the convergence time while ensuring solution quality. Finally, we apply RWS-GCSFLA to a practical instance case of UAV logistics in Guangzhou communities and achieved satisfactory results.", "keywords": [ "Computer science", "Convergence (economics)", "Swarm behaviour", "Vehicle routing problem", "Heuristic", "Coronavirus disease 2019 (COVID-19)", "Fitness proportionate selection", "Range (aeronautics)", "Routing (electronic design automation)", "Mathematical optimization", "Genetic algorithm", "Operations research" ], "cited_by_openalex": 3, "cited_by_scopus": "3", "eid": "2-s2.0-85164682858", "pii": null, "open_access_url": "http://dx.doi.org/10.1109/icccbda56900.2023.10154746", "sources": [ { "db": "openalex", "stream": "UAV", "query_id": "UAV-2" }, { "db": "scopus", "stream": "UAV", "query_id": "UAV-2" } ], "streams": [ "UAV" ], "relevance_signals": [ "UAV_NO_CTX" ], "auto_exclude_reason": "EC-4-topic", "screening_status": "auto_excluded", "screened_by": "auto-v1.0.0" }, { "id": "doi:10.1016/j.ifacol.2023.10.212", "doi": "10.1016/j.ifacol.2023.10.212", "title": "Stability focused evaluation and tuning of special ground vehicle tracking algorithms", "year": 2023, "authors": [ "Peter H. Bauer", "Mihály Nagy", "Gergely István Kuna", "Ádám Kisari", "E. Simonyi", "Antal Hiba", "István Drotár" ], "first_author": "Peter H. Bauer", "venue": "IFAC-PapersOnLine", "volume": null, "pages": null, "type": "article", "language": "en", "abstract": "This paper deals with a special tracking problem when a ground vehicle should be tracked by a multicopter flying ahead of the vehicle. Pre-designed vehicle route is assumed and the UAV stops or slows down at every intersection to react to route changes. After introducing the problem, the methods applied in a real flight demonstration in the Smart City module of ZalaZONE proving ground are presented. Then new methods are introduced to possibly improve performance. The main focus of the article is the evaluation of the stability of the methods and the provision of tuning guidelines. All of the introduced methods is tuned based-on the guidelines considering real ground vehicle test data and the high fidelity simulation of the applied multicopter. The two best methods are compared in detail and guidelines of their applicability are provided.", "keywords": [ "Intersection (aeronautics)", "Stability (learning theory)", "Computer science", "Tracking (education)", "Fidelity", "Algorithm", "Simulation", "Aerospace engineering", "Engineering", "Machine learning" ], "cited_by_openalex": 3, "cited_by_scopus": 0, "eid": null, "pii": null, "open_access_url": "https://doi.org/10.1016/j.ifacol.2023.10.212", "sources": [ { "db": "openalex", "stream": "UAV", "query_id": "UAV-2" } ], "streams": [ "UAV" ], "relevance_signals": [ "UAV_NO_CTX" ], "auto_exclude_reason": "EC-4-topic", "screening_status": "auto_excluded", "screened_by": "auto-v1.0.0" }, { "id": "doi:10.1002/net.22171", "doi": "10.1002/net.22171", "title": "The single robot line coverage problem: Theory, algorithms, and experiments", "year": 2023, "authors": [ "Saurav Kumar Agarwal", "Srinivas Akella" ], "first_author": "Saurav Kumar Agarwal", "venue": "Networks", "volume": "82", "pages": "479-505", "type": "article", "language": "en", "abstract": "Abstract Line coverage is the task of servicing a given set of one‐dimensional features in an environment. It is important for the inspection of linear infrastructure such as road networks, power lines, and oil and gas pipelines. This paper addresses the single robot line coverage problem for aerial and ground robots by modeling it as an optimization problem on a graph. The problem belongs to the broad class of arc routing problems and is closely related to the rural postman problem (RPP) on asymmetric graphs. The paper presents an integer linear programming formulation with proofs of correctness. Using the minimum cost flow problem, we develop approximation algorithms with guarantees on the solution quality. These guarantees also improve the existing results for the asymmetric RPP. The main algorithm partitions the problem into three cases based on the structure of therequired graph, that is, the graph induced by the features that require servicing. We evaluate our algorithms on road networks from the 50 most populous cities in the world, consisting of up to 730 road segments. The algorithms, augmented with improvement heuristics, run within 3 s and generate solutions that are within 10% of the optimum. We experimentally demonstrate our algorithms with commercial UAVs on the UNC Charlotte campus road network.", "keywords": [ "Heuristics", "Correctness", "Computer science", "Algorithm", "Robot", "Linear programming", "Arc routing", "Integer programming", "Graph", "Mathematical optimization", "Routing (electronic design automation)", "Theoretical computer science" ], "cited_by_openalex": 4, "cited_by_scopus": "3", "eid": "2-s2.0-85165586671", "pii": null, "open_access_url": "https://onlinelibrary.wiley.com/doi/pdfdirect/10.1002/net.22171", "sources": [ { "db": "openalex", "stream": "UAV", "query_id": "UAV-2" }, { "db": "scopus", "stream": "UAV", "query_id": "UAV-2" } ], "streams": [ "UAV" ], "relevance_signals": [ "UAV_NO_CTX" ], "auto_exclude_reason": "EC-4-topic", "screening_status": "auto_excluded", "screened_by": "auto-v1.0.0" }, { "id": "doi:10.1016/j.trpro.2023.11.677", "doi": "10.1016/j.trpro.2023.11.677", "title": "Preliminary study of nation-wide urban air mobility demand and vertiport network study in Germany", "year": 2023, "authors": [ "Katrin Lippoldt", "Lukas Preis", "Klaus Bogenberger" ], "first_author": "Katrin Lippoldt", "venue": "Transportation research procedia", "volume": "72", "pages": "1966-1973", "type": "article", "language": "en", "abstract": "This study proposes a vertiport network for eVTOL in Germany. We use empirical travel survey data to estimate demand and calculate service \"supply\" based on the available space. Through a sensitivity study for different mode shares the resulting space requirements are determined. Both the potential travel demand and the potential supply of aircraft movements on the ground are not well known. Connections are evaluated regarding the possible travel time savings and the value of time of the travelers on the corresponding route. The empirical data used for this study was collected and is provided by the Federal Ministry of Transport and Digital Infrastructure Germany. The MiD study is conducted at regular intervals and provides “extensive key values for the year 2017 on day-to-day mobility among Germany's residential population and refers to all trips they made within Germany” (The Federal Ministry of Transport and Digital Infrastructure, 2017).", "keywords": [ "TRIPS architecture", "Christian ministry", "Ministry of Transport", "Transport engineering", "Service (business)", "Business", "Travel behavior", "Empirical research", "Mode (computer interface)", "Population", "Supply and demand", "Environmental economics" ], "cited_by_openalex": 4, "cited_by_scopus": "3", "eid": "2-s2.0-85182918141", "pii": "S2352146523009754", "open_access_url": "https://doi.org/10.1016/j.trpro.2023.11.677", "sources": [ { "db": "openalex", "stream": "UAV", "query_id": "UAV-3" }, { "db": "scopus", "stream": "UAV", "query_id": "UAV-3" } ], "streams": [ "UAV" ], "relevance_signals": [ "UAV_NO_CTX" ], "auto_exclude_reason": "EC-4-topic", "screening_status": "auto_excluded", "screened_by": "auto-v1.0.0" }, { "id": "doi:10.2514/6.2023-3402", "doi": "10.2514/6.2023-3402", "title": "Initial Development and Integration of a Vertiport Automation System for Advanced Air Mobility Operations", "year": 2023, "authors": [ "Jeffrey R. Homola", "Abhinay I. Tiwari" ], "first_author": "Jeffrey R. Homola", "venue": "AIAA Aviation and Aeronautics Forum and Exposition AIAA Aviation Forum 2023", "volume": null, "pages": null, "type": "conference-paper", "language": "en", "abstract": "View Video Presentation: https://doi.org/10.2514/6.2023-3402.vid The High Density Vertiplex Sub-Project, as part of NASA’s Advanced Air Mobility (AAM) Project, has been developing a reference Vertiport Automation System (VAS) to support the management of arrival and departure operations in the terminal area of a vertiport or network of inter-connected vertiports known as a vertiplex. The VAS is potentially a key element of an integrated AAM architecture that will enable greater levels of coordination and predictability for vertiport users through its integration and sharing of information, and greater control of vertiport resources for managing operators. This paper provides an overview of the VAS and a description of an initial implementation that has been integrated into a broader reference architecture as part of ongoing research. Examples from recent simulations are presented with an outline for next steps and considerations.", "keywords": [ "Automation", "Computer science", "Systems engineering", "Key (lock)", "Architecture", "System integration", "Predictability", "Systems architecture", "Software engineering", "Engineering", "Database", "Operating system" ], "cited_by_openalex": 2, "cited_by_scopus": "3", "eid": "2-s2.0-85192250993", "pii": null, "open_access_url": "https://doi.org/10.2514/6.2023-3402", "sources": [ { "db": "openalex", "stream": "UAV", "query_id": "UAV-3" }, { "db": "scopus", "stream": "UAV", "query_id": "UAV-3" } ], "streams": [ "UAV" ], "relevance_signals": [ "UAV_NO_CTX" ], "auto_exclude_reason": "EC-4-topic", "screening_status": "auto_excluded", "screened_by": "auto-v1.0.0" }, { "id": "doi:10.1007/978-3-031-35572-1_22", "doi": "10.1007/978-3-031-35572-1_22", "title": "Proposal of Seoul’s UAM Routes and Vertiports with Spatial Data Analysis", "year": 2023, "authors": [ "Juho Lee", "Donghyun Yoon", "Jinyong Lee", "Jahwan Koo" ], "first_author": "Juho Lee", "venue": "Lecture notes in computer science", "volume": "14014 LNCS", "pages": "325-340", "type": "conference-paper", "language": "en", "abstract": null, "keywords": [ "Computer science", "Grid", "Aviation", "Process (computing)", "Commercialization", "Key (lock)", "Operations research", "Transport engineering", "Data mining", "Computer security" ], "cited_by_openalex": 1, "cited_by_scopus": "3", "eid": "2-s2.0-85173055002", "pii": null, "open_access_url": "https://doi.org/10.1007/978-3-031-35572-1_22", "sources": [ { "db": "openalex", "stream": "UAV", "query_id": "UAV-3" }, { "db": "scopus", "stream": "UAV", "query_id": "UAV-3" } ], "streams": [ "UAV" ], "relevance_signals": [ "UAV_NO_CTX" ], "auto_exclude_reason": "EC-4-topic", "screening_status": "auto_excluded", "screened_by": "auto-v1.0.0" }, { "id": "doi:10.1109/dasc58513.2023.10311150", "doi": "10.1109/dasc58513.2023.10311150", "title": "Vertiports Task Areas and Functional Sequences for Basic Operations in Urban Space", "year": 2023, "authors": [ "Stephanos Papakonstantinou", "Daniel Schreiber", "Tom Kocks", "Uwe Wieczorek", "Volker Gollnick" ], "first_author": "Stephanos Papakonstantinou", "venue": "AIAA IEEE Digital Avionics Systems Conference Proceedings", "volume": null, "pages": null, "type": "conference-paper", "language": "en", "abstract": "Technological progress in Advanced Air Mobility (AAM) enables development of Urban Air Mobility (UAM) concepts and networks. These concepts rely on ground-based infrastructure that requires different vertiports with different characteristics depending on the location, tasks (from vertistops, traffic hubs to maintenance hubs) and their responsibilities. For the planning and design, task-related functional processes, their variants, the respective functions and their parameters are important key factors. The elaboration of processes and functional flows for the different task areas of vertiports has so far only been considered in a rudimentary way or at a very high level of abstraction and is not well documented in the scientific literature. This paper focuses on a solution space oriented view of functions and processes and their adaptation to individual requirements for single vertiport configurations and provides an approach to represent these functions as BPMN Swimmlane diagrams. In the scope of this paper the main contribution lies in the representation of the safety analysis and MRO (Maintenance, Repair and Overhaul) functions on vertiports.", "keywords": [ "Scope (computer science)", "Adaptation (eye)", "Computer science", "Task (project management)", "Abstraction", "Representation (politics)", "Function (biology)", "Key (lock)", "Space (punctuation)", "Dependency (UML)", "Functional requirement", "Systems engineering" ], "cited_by_openalex": 0, "cited_by_scopus": "3", "eid": "2-s2.0-85178666766", "pii": null, "open_access_url": "http://dx.doi.org/10.1109/dasc58513.2023.10311150", "sources": [ { "db": "openalex", "stream": "UAV", "query_id": "UAV-3" }, { "db": "scopus", "stream": "UAV", "query_id": "UAV-3" } ], "streams": [ "UAV" ], "relevance_signals": [ "UAV_NO_CTX" ], "auto_exclude_reason": "EC-4-topic", "screening_status": "auto_excluded", "screened_by": "auto-v1.0.0" }, { "id": "doi:10.1109/tcns.2023.3314570", "doi": "10.1109/tcns.2023.3314570", "title": "Safe Schedule Verification for Urban Air Mobility Networks With Node Closures", "year": 2023, "authors": [ "Qinshuang Wei", "Gustav Nilsson", "Samuel Coogan" ], "first_author": "Qinshuang Wei", "venue": "IEEE Transactions on Control of Network Systems", "volume": "11", "pages": "855-866", "type": "article", "language": "en", "abstract": "In Urban Air Mobility (UAM) networks, takeoff and landing sites, called vertiports, are likely to experience intermittent closures due to, e.g., adverse weather. To ensure safety, all in-flight Urban Air Vehicles (UAVs) in a UAM network must therefore have alternative landing sites with sufficient landing capacity in the event of a vertiport closure. In this paper, we study the problem of safety verification of UAM schedules in the face of vertiport closures. We first provide necessary and sufficient conditions for a given UAM schedule to be safe in the sense that, if a vertiport closure occurs, then all UAVs will be able to safely land at a backup landing site. We then extend these results to the scenario of multiple vertiport closures. Next, we convert these conditions to an efficient algorithm for verifying the safety of a UAM schedule via a linear program by using properties of totally unimodular matrices. Our algorithm allows for uncertain travel time between UAM vertiports and scales quadratically with the number of scheduled UAVs. We demonstrate our algorithm on a UAM network with up to 1,000 UAVs.", "keywords": [ "Schedule", "Backup", "Unimodular matrix", "Computer science", "Closure (psychology)", "Event (particle physics)", "Real-time computing", "Simulation", "Mathematics" ], "cited_by_openalex": 4, "cited_by_scopus": "3", "eid": "2-s2.0-85171528918", "pii": null, "open_access_url": "https://hal.science/hal-05312509/document", "sources": [ { "db": "openalex", "stream": "UAV", "query_id": "UAV-3" }, { "db": "scopus", "stream": "UAV", "query_id": "UAV-3" } ], "streams": [ "UAV" ], "relevance_signals": [ "UAV_NO_CTX" ], "auto_exclude_reason": "EC-4-topic", "screening_status": "auto_excluded", "screened_by": "auto-v1.0.0" }, { "id": "doi:10.33012/2023.18603", "doi": "10.33012/2023.18603", "title": "Network-Based Augmentation System (NBAS) Architectures Optimized to Support Urban Air Mobility (UAM)", "year": 2023, "authors": [ "Jiyun Lee", "Gihun Nam", "Dongchan Min", "Andrew K. Sun", "Sam Pullen" ], "first_author": "Jiyun Lee", "venue": "Proceedings of the Institute of Navigation ... International Technical Meeting/Proceedings of the ... International Technical Meeting of The Institute of Navigation", "volume": null, "pages": null, "type": "conference-paper", "language": "en", "abstract": "Integrity-assured navigation is essential to support highly automated operation of Urban Air Mobility (UAM) at lower altitudes in urban or suburban area. This paper develops a Network-based Augmentation System (NBAS) architecture which utilize GNSS pseudorange corrections and monitoring information of reference stations installed at multiple vertiports to improve navigation accuracy and integrity. A new monitoring concept of enhancing detection capability for spatially-decorrelated errors is proposed by combining information of vertiports located farther from users. Simulations are conducted to compare the performance of the NBAS system to that of the conventional Ground-based Augmentation Systems (GBAS) architecture (i.e., single reference station) assuming the use of a dual-frequency and dual-constellation (GPS and Galileo) GNSS and the dual-frequency divergence-free smoothing method. Simulation results show a significant reduction in both ionosphere-induced and ephemeris-failure threats by utilizing the multiple monitor capability of networked ground stations and UAM vehicles.", "keywords": [ "GNSS applications", "Computer science", "Global Positioning System", "Real-time computing", "Pseudorange", "GNSS augmentation", "Smoothing", "Remote sensing", "Telecommunications", "Geography" ], "cited_by_openalex": 3, "cited_by_scopus": 0, "eid": null, "pii": null, "open_access_url": "https://doi.org/10.33012/2023.18603", "sources": [ { "db": "openalex", "stream": "UAV", "query_id": "UAV-3" } ], "streams": [ "UAV" ], "relevance_signals": [ "UAV_NO_CTX" ], "auto_exclude_reason": "EC-4-topic", "screening_status": "auto_excluded", "screened_by": "auto-v1.0.0" }, { "id": "doi:10.2514/6.2023-4281", "doi": "10.2514/6.2023-4281", "title": "Simulation of a Quadrotor Urban Air Taxi Hovering Above a Rooftop Edge", "year": 2023, "authors": [ "Denis-Gabriel Caprace", "Patricia Ventura Diaz", "Steven Yoon" ], "first_author": "Denis-Gabriel Caprace", "venue": null, "volume": null, "pages": null, "type": "conference-paper", "language": "en", "abstract": "View Video Presentation: https://doi.org/10.2514/6.2023-4281.vid With the development of urban air mobility, the safety of multirotor vehicle operations in proximity to vertiports must be assessed. This paper examines high-fidelity blade-resolved OVERFLOW simulations and medium-fidelity vortex particle-mesh simulations that capture the aerodynamics of a rotorcraft in full and partial ground effect. Results obtained with each CFD method are compared to verify the consistency of the models introduced in the latter, which include an immersed lifting line for the blade aerodynamics and various boundary conditions to account for solid surfaces such as ground and walls. Satisfactory agreement is obtained for the blade loads and rotorwash velocity profiles in the case of a single rotor, except for small discrepancies at the blade tip. Finally, a quadrotor air taxi is simulated to quantify the load imbalance when the vehicle hovers above a rooftop edge. The combined use of high- and medium-fidelity methods is envisioned to accelerate the workflow when a large number of configurations need to be tested.", "keywords": [ "Enhanced Data Rates for GSM Evolution", "Computer science", "Aerospace engineering", "Environmental science", "Automotive engineering", "Engineering", "Telecommunications" ], "cited_by_openalex": 3, "cited_by_scopus": 0, "eid": null, "pii": null, "open_access_url": "https://doi.org/10.2514/6.2023-4281", "sources": [ { "db": "openalex", "stream": "UAV", "query_id": "UAV-3" } ], "streams": [ "UAV" ], "relevance_signals": [ "UAV_NO_CTX" ], "auto_exclude_reason": "EC-4-topic", "screening_status": "auto_excluded", "screened_by": "auto-v1.0.0" }, { "id": "doi:10.4050/f-0079-2023-18109", "doi": "10.4050/f-0079-2023-18109", "title": "Estimation of Probability of Exceeding SC-VTOL Performance Requirements During Automatic Landing Using Subset Simulation", "year": 2023, "authors": [ "Christoph Krammer", "Florian Holzapfel" ], "first_author": "Christoph Krammer", "venue": null, "volume": null, "pages": null, "type": "conference-paper", "language": "en", "abstract": "With the rising interest in urban air mobility, new regulations are released to enable the certification of electric Vertical Take-off and Landing (eVTOL) vehicles. These novel performance requirements pose both technical challenges and opportunities for new design approaches. In this paper, we apply a Markov chain Monte Carlo method called subset simulation to the flight dynamic model of a prototype eVTOL vehicle to estimate the probability of violating performance and operational criteria. These requirements are derived from the means of compliance for the EASA 'Special Condition for small-category VTOL aircraft'; and 'Prototype Technical Design Specifications for Vertiports,' with additional aspects from the EASA 'Certification Specifications for All Weather Operations' transferred to eVTOL aircraft. The simulations are conducted with a closed-loop experimental flight guidance and control system for automatic landing in combination with varying parameters in the environmental and aircraft models. The computation time to estimate the failure probabilities is reduced compared to pure Monte Carlo methods by utilizing a subset simulation framework. Initial results show the sensitivity of exceeding limit thresholds to the parameters varied in the flight dynamic model.", "keywords": [ "Monte Carlo method", "Airworthiness", "Certification", "Computer science", "Simulation", "Computation", "Aircraft flight mechanics", "Flight simulator", "Markov chain", "Markov process", "Sensitivity (control systems)", "Engineering" ], "cited_by_openalex": 3, "cited_by_scopus": 0, "eid": null, "pii": null, "open_access_url": "https://doi.org/10.4050/F-0079-2023-18109", "sources": [ { "db": "openalex", "stream": "UAV", "query_id": "UAV-3" } ], "streams": [ "UAV" ], "relevance_signals": [ "UAV_NO_CTX" ], "auto_exclude_reason": "EC-4-topic", "screening_status": "auto_excluded", "screened_by": "auto-v1.0.0" }, { "id": "doi:10.2514/6.2023-0258", "doi": "10.2514/6.2023-0258", "title": "A Feasibility Study for the Development of Air Mobility Operations within an Airport City (Aerotropolis)", "year": 2023, "authors": [ "Xi Wang", "Michael G. Balchanos", "Dimitri N. Mavris" ], "first_author": "Xi Wang", "venue": "AIAA SCITECH 2023 Forum", "volume": null, "pages": null, "type": "conference-paper", "language": "en", "abstract": "View Video Presentation: https://doi.org/10.2514/6.2023-0258.vid This study aims to create a simulation environment to study the feasibility of an Advanced Air Mobility (AAM) system in an airport-centric infrastructure or aerotropolis area. The environment and the study are to confirm the effectiveness of the AAM system in terms of reducing traffic congestion for road networks and the reduction in carbon emissions for transportation methods. The traffic simulation will run a baseline simulation with the currently available mobility methods and an alternative simulation with a proposed small network with close distance flights AAM system of 9 vertiports. The traffic modeling utilizes Agent-Based Modeling (ABM) to accurately models the two cases and compare trip times of the two cases. The emission modeling models the emission of carbon per mile of travel for different mobility methods and use the miles traveled from the traffic simulation to calculate the emission. The conclusion was drawn based on the two comparisons of the change in travel time and the change in emission. A small AAM system servicing a small area with short flight legs is found to be effective in both decreasing trip times and decreasing emissions and is significantly more effective when the ground mobility network is congested and not accessible.", "keywords": [ "Baseline (sea)", "Transport engineering", "Computer science", "Mile", "Simulation", "Travel time", "Environmental science", "Engineering" ], "cited_by_openalex": 3, "cited_by_scopus": 0, "eid": null, "pii": null, "open_access_url": "http://dx.doi.org/10.2514/6.2023-0258", "sources": [ { "db": "openalex", "stream": "UAV", "query_id": "UAV-3" } ], "streams": [ "UAV" ], "relevance_signals": [ "UAV_NO_CTX" ], "auto_exclude_reason": "EC-4-topic", "screening_status": "auto_excluded", "screened_by": "auto-v1.0.0" }, { "id": "doi:10.2514/1.i011278", "doi": "10.2514/1.i011278", "title": "Assessment of Approach and Departure Paths for Vertical Takeoff and Landing Aircraft", "year": 2023, "authors": [ "Suyoung Shin", "Keumjin Lee" ], "first_author": "Suyoung Shin", "venue": "Journal of Aerospace Information Systems", "volume": null, "pages": null, "type": "article", "language": "en", "abstract": "Open AccessTechnical NotesAssessment of Approach and Departure Paths for Vertical Takeoff and Landing AircraftSuyoung Shin and Keumjin LeeSuyoung ShinKorea Aerospace University, Goyang 412-791, Republic of Korea and Keumjin Lee https://orcid.org/0000-0002-3938-449XKorea Aerospace University, Goyang 412-791, Republic of KoreaPublished Online:8 Nov 2023https://doi.org/10.2514/1.I011278SectionsRead Now ToolsAdd to favoritesDownload citationTrack citations ShareShare onFacebookTwitterLinked InRedditEmail AboutNomenclatureAset of available approach and departure directionsFATObackback distance of obstacle-free volume on final approach and takeoff areaFATOfrontfront distance of obstacle-free volume on final approach and takeoff areaFATOwidthwidth of obstacle-free volume on final approach and takeoff areah1low hover height of obstacle-free volumeh2high hover height of obstacle-free volumeIobsset of indies of the voxels that Pobs occupiesIOFV(ψ)set of indies of the voxels that POFV(ψ) occupiesKnumber of buildingsLnumber of pointslix-axis index of the voxel where pi occupiesMnumber of IOFVmiy-axis index of the voxel where pi occupiesNnumber of IobsNxsize of voxelated space in x directionNysize of voxelated space in y directionNzsize of voxelated space in z directionniz-axis index of the voxel where pi occupiesPobsset of points that represent obstacle dataPOFV(ψ)set of points that represent obstacle-free volume in a specific orientation angle ψpiith point in Psxvoxel size in x directionsyvoxel size in y directionszvoxel size in z directionTObackback distance of obstacle-free volume at h2TOfrontfront distance obstacle-free volume at h2TOwidthwidth of obstacle-free volume at h2Vset of voxels for the region of interestvlmnvoxel located at l, m, and n in the x, y, and z directions, respectivelyxix-axis coordinate of pixox-axis coordinate of reference point of voxelated spaceyiy-axis coordinate of piyoy-axis coordinate of reference point of voxelated spaceziz-axis coordinate of pizoz-axis coordinate of reference point of voxelated spaceα(Θ)directional availability under Θδappdivergence of approach surfaceδdepdivergence of departure surfaceΘset of the specification parameters of obstacle-free volumeθappslope of approach surfaceθdepslope of departure surfaceΨset of orientation angles of obstacle-free volumeψorientation angle between the true north and the centerline of approach/departure surfaceI. IntroductionUrban air mobility (UAM) is a new form of transportation to take passengers and cargo over urban areas, in turn promoting reduced traffic congestion and CO2 emissions [1,2]. Yet, the safety of low-altitude flights in congested areas must be addressed before UAM is used commercially. Especially, identifying available approach and departure paths for UAM aircraft at vertiports in obstacle-rich environments is crucial for ensuring safety.The approach/departure path is defined as the flight track that the vertical takeoff and landing (VTOL) aircraft follow when landing at or taking off from a vertiport [3]. The approach/departure path should align with the predominant wind direction to minimize the aircraft's downwind and crosswind operations. However, the range of possible approach/departure directions is often constrained by tall buildings or natural features such as mountains. Therefore, identifying airspace obstructions and available approach/departure directions is a vital step when designing a vertiport. This process is usually done by using various geographic information system (GIS) tools but could be time-consuming and error-prone due to the inherent complexity of spatial analysis [4,5].There have been several research efforts to identify available airspace for uncrewed aircraft systems in urban areas. In one study, the concept of a containment boundary was proposed to assess the use of low-altitude airspace near airports and to evaluate the potential impact of UAM operations on conventional air traffic [6]. Another study proposed a topological analysis framework to identify usable airspace in urban areas that utilizes keep-out and keep-in geofences [7]. Still another research effort presented a data-driven approach to identify available airspace separated from conventional air traffic using historical aircraft track and meteorological data [8]. One study proposed a method of spatial modeling for airspace obstruction analysis using the octree technique, but its applicability is limited to assessing the restrictive height of an individual obstacle for a given location [9]. Despite those efforts, a practical method to analyze the range of possible directions for approach/departure paths using real obstacle data is still lacking.This paper introduces a novel framework to analyze available approach and departure directions for VTOL-capable UAM aircraft using the voxelization technique and obstacle-free volume (OFV). The main contributions of this research are twofold. First, in the proposed framework, obstacle, terrain, and OFV data are converted into voxels, making 3-D spatial analysis more efficient. The conventional approach for airspace obstruction analysis is based on modeling an individual obstacle as a spike and assessing whether it obstructs the obstacle limit surface (OLS) along a specified approach/departure path [4,10–12]. Since the modeling techniques differ for obstacles, terrain, and OLS, the conventional approach exhibits a limitation in efficiently searching for possible approach/departure directions in an environment with many obstacles. In contrast, the proposed method provides a means to uniformly model the entire obstacle and OLS environment in voxelated space, enabling the rapid exploration of possible approach and departure directions, as illustrated in Fig. 1. The second contribution of the research is to validate the effectiveness of OFV with real geographical data. The OFV is a newly emerging OLS concept aimed at promoting UAM operations in densely built-up areas. However, ", "keywords": [ "Takeoff", "Takeoff and landing", "Aeronautics", "Aerospace engineering", "Airplane", "Landing gear", "Computer science", "Engineering", "Environmental science" ], "cited_by_openalex": 3, "cited_by_scopus": 0, "eid": null, "pii": null, "open_access_url": "https://arc.aiaa.org/doi/pdf/10.2514/1.I011278?download=true", "sources": [ { "db": "openalex", "stream": "UAV", "query_id": "UAV-3" } ], "streams": [ "UAV" ], "relevance_signals": [ "UAV_NO_CTX" ], "auto_exclude_reason": "EC-4-topic", "screening_status": "auto_excluded", "screened_by": "auto-v1.0.0" }, { "id": "doi:10.2514/6.2023-3687", "doi": "10.2514/6.2023-3687", "title": "Comprehensive Risk Assessment and Utilization for Contingency Management of Future AAM System", "year": 2023, "authors": [ "Arinc Tutku Altun", "Yan Xu", "Gökhan İnalhan", "Michael W. Hardt" ], "first_author": "Arinc Tutku Altun", "venue": "AIAA Aviation and Aeronautics Forum and Exposition AIAA Aviation Forum 2023", "volume": null, "pages": null, "type": "conference-paper", "language": "en", "abstract": "View Video Presentation: https://doi.org/10.2514/6.2023-3687.vid This paper presents a risk assessment methodology to be used in the future Advanced Air Mobility (AAM) systems especially for supporting the planning phase and onboard contingency management solutions. Two types of dynamic risk maps are introduced as Contingency Risk Map that includes the probability of observing a contingency onboard and Risk Severity Map which covers various sources of data such as population density, a dense air traffic, obstacles, terrain, no-fly zones, and so forth. Contingency Risk Map is to quantify the probability of having a contingency and decide if the quantified probability is above the threshold. If the contingency risk probability is at unacceptable limit, Risk Severity Map assists to select a pre-defined secure emergency landing zone or non-secure emergency landing zone defined onboard. The developed risk assessment structure is tested through two different use cases. First one is about defining locations as vertiport alternatives based on the generated map, in case of a contingency ending up with an AAM vehicle to do emergency landing. Second case considers minimum risk onboard rerouting of an AAM vehicle to a secure/non-secure emergency landing zone under contingency management process. The main objective of this work is to build a system-wide contingency management concept for the AAM system by supporting with UTM services such as risk analysis assistance.", "keywords": [ "Contingency plan", "Contingency", "Computer science", "Risk management", "Risk analysis (engineering)", "Contingency management", "Operations research", "Computer security", "Engineering", "Business" ], "cited_by_openalex": 2, "cited_by_scopus": "3", "eid": "2-s2.0-85183373183", "pii": null, "open_access_url": "https://dspace.lib.cranfield.ac.uk/bitstreams/c4b71017-a54e-4fc8-8a9f-2c0a83e9e30b/download", "sources": [ { "db": "openalex", "stream": "UAV", "query_id": "UAV-3" }, { "db": "scopus", "stream": "UAV", "query_id": "UAV-3" } ], "streams": [ "UAV" ], "relevance_signals": [ "UAV_NO_CTX" ], "auto_exclude_reason": "EC-4-topic", "screening_status": "auto_excluded", "screened_by": "auto-v1.0.0" }, { "id": "doi:10.1016/j.ejor.2022.11.032", "doi": "10.1016/j.ejor.2022.11.032", "title": "The paired mail carrier problem", "year": 2023, "authors": [ "Luo Y." ], "first_author": "Luo Y.", "venue": "European Journal of Operational Research", "volume": "308", "pages": "801-817", "type": "Article", "language": null, "abstract": null, "keywords": [], "cited_by_openalex": 0, "cited_by_scopus": "3", "eid": "2-s2.0-85143878803", "pii": "S037722172200889X", "open_access_url": null, "sources": [ { "db": "scopus", "stream": "TRUCK", "query_id": "TRUCK-1" } ], "streams": [ "TRUCK" ], "relevance_signals": [ "NO_TECHNOLOGY_MATCH" ], "auto_exclude_reason": "EC-4-topic", "screening_status": "auto_excluded", "screened_by": "auto-v1.0.0" }, { "id": "doi:10.1007/978-3-031-20141-7_73", "doi": "10.1007/978-3-031-20141-7_73", "title": "Analysis of Urban Freight Distribution Management Methods on the Principles of “Green Logistics”", "year": 2023, "authors": [ "Hriekova O." ], "first_author": "Hriekova O.", "venue": "Lecture Notes in Networks and Systems", "volume": "536 LNNS", "pages": "820-830", "type": "Conference Paper", "language": null, "abstract": null, "keywords": [], "cited_by_openalex": 0, "cited_by_scopus": "3", "eid": "2-s2.0-85144181704", "pii": null, "open_access_url": null, "sources": [ { "db": "scopus", "stream": "TRUCK", "query_id": "TRUCK-2" } ], "streams": [ "TRUCK" ], "relevance_signals": [ "NO_TECHNOLOGY_MATCH" ], "auto_exclude_reason": "EC-4-topic", "screening_status": "auto_excluded", "screened_by": "auto-v1.0.0" }, { "id": "doi:10.46354/i3m.2023.mas.006", "doi": "10.46354/i3m.2023.mas.006", "title": "Simulation modelling for integrating economic and environmental performance assessment for autonomous delivery systems in last mile logistics.", "year": 2023, "authors": [ "Rubrichi L." ], "first_author": "Rubrichi L.", "venue": "Proceedings of the International Conference on Modeling and Applied Simulation Mas", "volume": "2023-September", "pages": null, "type": "Conference Paper", "language": null, "abstract": null, "keywords": [], "cited_by_openalex": 0, "cited_by_scopus": "3", "eid": "2-s2.0-85178659794", "pii": null, "open_access_url": null, "sources": [ { "db": "scopus", "stream": "UAV", "query_id": "UAV-1" } ], "streams": [ "UAV" ], "relevance_signals": [ "NO_TECHNOLOGY_MATCH" ], "auto_exclude_reason": "EC-4-topic", "screening_status": "auto_excluded", "screened_by": "auto-v1.0.0" }, { "id": "doi:10.1109/msnmc61017.2023.10329084", "doi": "10.1109/msnmc61017.2023.10329084", "title": "Drone-Assisted Path Planning Optimization for Mobile Robots in Dynamic Scenarios", "year": 2023, "authors": [ "Bakirci M." ], "first_author": "Bakirci M.", "venue": "2023 IEEE 7th International Conference on Methods and Systems of Navigation and Motion Control Msnmc 2023 Proceedings", "volume": null, "pages": "106-111", "type": "Conference Paper", "language": null, "abstract": null, "keywords": [], "cited_by_openalex": 0, "cited_by_scopus": "3", "eid": "2-s2.0-85180366554", "pii": null, "open_access_url": null, "sources": [ { "db": "scopus", "stream": "UAV", "query_id": "UAV-2" } ], "streams": [ "UAV" ], "relevance_signals": [ "UAV_NO_CTX" ], "auto_exclude_reason": "EC-4-topic", "screening_status": "auto_excluded", "screened_by": "auto-v1.0.0" }, { "id": "doi:10.1109/iccpct58313.2023.10245325", "doi": "10.1109/iccpct58313.2023.10245325", "title": "Design and Development of APM 2.8 Controller Based Drone System for Healthcare Application", "year": 2023, "authors": [ "Ganesan S." ], "first_author": "Ganesan S.", "venue": "Proceedings of the International Conference on Circuit Power and Computing Technologies Iccpct 2023", "volume": null, "pages": "1230-1234", "type": "Conference Paper", "language": null, "abstract": null, "keywords": [], "cited_by_openalex": 0, "cited_by_scopus": "3", "eid": "2-s2.0-85173831356", "pii": null, "open_access_url": null, "sources": [ { "db": "scopus", "stream": "UAV", "query_id": "UAV-2" } ], "streams": [ "UAV" ], "relevance_signals": [ "UAV_NO_CTX" ], "auto_exclude_reason": "EC-4-topic", "screening_status": "auto_excluded", "screened_by": "auto-v1.0.0" }, { "id": "doi:10.1109/ccta54093.2023.10253163", "doi": "10.1109/ccta54093.2023.10253163", "title": "Multi-Vehicle Charge Scheduling and Routing with a Mobile Charging Host", "year": 2023, "authors": [ "Goulet N." ], "first_author": "Goulet N.", "venue": "2023 IEEE Conference on Control Technology and Applications Ccta 2023", "volume": null, "pages": "103-109", "type": "Conference Paper", "language": null, "abstract": null, "keywords": [], "cited_by_openalex": 0, "cited_by_scopus": "3", "eid": "2-s2.0-85173874480", "pii": null, "open_access_url": null, "sources": [ { "db": "scopus", "stream": "UAV", "query_id": "UAV-2" } ], "streams": [ "UAV" ], "relevance_signals": [ "NO_TECHNOLOGY_MATCH" ], "auto_exclude_reason": "EC-4-topic", "screening_status": "auto_excluded", "screened_by": "auto-v1.0.0" }, { "id": "doi:10.12382/bgxb.2021.0450", "doi": "10.12382/bgxb.2021.0450", "title": "Parafoil-based UAV Recovery System Under Random Initial Conditions", "year": 2023, "authors": [ "Sun H." ], "first_author": "Sun H.", "venue": "Binggong Xuebao Acta Armamentarii", "volume": "44", "pages": "718-727", "type": "Article", "language": null, "abstract": null, "keywords": [], "cited_by_openalex": 0, "cited_by_scopus": "3", "eid": "2-s2.0-85159094914", "pii": null, "open_access_url": null, "sources": [ { "db": "scopus", "stream": "UAV", "query_id": "UAV-3" } ], "streams": [ "UAV" ], "relevance_signals": [ "UAV_NO_CTX" ], "auto_exclude_reason": "EC-4-topic", "screening_status": "auto_excluded", "screened_by": "auto-v1.0.0" }, { "id": "title:evtols and vertiports operations and infrastructure for a new and sustainable way to fly", "doi": null, "title": "eVTOLs and vertiports: Operations and infrastructure for a new and sustainable way to fly", "year": 2023, "authors": [ "Cox K.E." ], "first_author": "Cox K.E.", "venue": "Journal of Airport Management", "volume": "17", "pages": "6-16", "type": "Article", "language": null, "abstract": null, "keywords": [], "cited_by_openalex": 0, "cited_by_scopus": "3", "eid": "2-s2.0-85147307492", "pii": null, "open_access_url": null, "sources": [ { "db": "scopus", "stream": "UAV", "query_id": "UAV-3" } ], "streams": [ "UAV" ], "relevance_signals": [ "UAV_NO_CTX" ], "auto_exclude_reason": "EC-4-topic", "screening_status": "auto_excluded", "screened_by": "auto-v1.0.0" }, { "id": "doi:10.4324/9781003365877-5", "doi": "10.4324/9781003365877-5", "title": "Autonomous lorries, artificial intelligence and urban (freight) mobilities", "year": 2023, "authors": [ "Debbie Hopkins" ], "first_author": "Debbie Hopkins", "venue": "Artificial Intelligence and the City Urbanistic Perspectives on Ai", "volume": null, "pages": "53-68", "type": "book-chapter", "language": "en", "abstract": "Lorries do a variety of work in cities. They keep cities (economically and socially) moving, while also contributing to urban congestion and pollution, traffic injuries and fatalities. Their logistical mobilities are both relational and contingent. As a result, there is an uneasy relationship between lorries – and their (human) drivers – and cities. Artificial intelligence, by way of the automation of the transport system, is one proposed ‘solution’ to the ‘problem’ of freight haulage as currently imagined. This chapter considers the emergence of autonomous lorries as a process of making the ‘safe’ lorry by eliminating, or reducing the role of, the ‘unsafe’ driver.", "keywords": [ "Mobilities", "Truck", "Engineering", "Transport engineering", "Sociology", "Automotive engineering" ], "cited_by_openalex": 2, "cited_by_scopus": "2", "eid": "2-s2.0-85176366442", "pii": null, "open_access_url": "http://dx.doi.org/10.4324/9781003365877-5", "sources": [ { "db": "openalex", "stream": "TRUCK", "query_id": "TRUCK-1" }, { "db": "scopus", "stream": "TRUCK", "query_id": "TRUCK-1" } ], "streams": [ "TRUCK" ], "relevance_signals": [ "TRUCK_NO_CTX" ], "auto_exclude_reason": "EC-4-topic", "screening_status": "auto_excluded", "screened_by": "auto-v1.0.0" }, { "id": "doi:10.46354/i3m.2023.emss.025", "doi": "10.46354/i3m.2023.emss.025", "title": "Mixed trucks and robots delivery approach: a simulation study", "year": 2023, "authors": [ "Krendeleva A." ], "first_author": "Krendeleva A.", "venue": "European Modeling and Simulation Symposium Emss", "volume": "2023-September", "pages": null, "type": "conference-paper", "language": "en", "abstract": "Among the objects of scientific research in the field of logistics, one of the most important factors is the new technologies needed to simplify and speed up delivery systems compared to human labor. This paper proposes and test a last mile delivery strategy that combines trucks and robots. The city is divided in a set of zones and each zone is a hub where the trucks arrive to serve the final destinations belonging to the zone. Hence, the last mile delivery is performed in the narrow roads of the city by robots. The problem is formalized as an optimization problem that maximizes the number of deliveries per day. A case study implemented in the old town of Bari (Italy) is studied and the obtained solutions are analyzed considering different speeds of the robots and are simulated in PTV Vissim simulation software.", "keywords": [ "Truck", "Computer science", "Robot", "Human–computer interaction", "Simulation", "Engineering", "Artificial intelligence", "Automotive engineering" ], "cited_by_openalex": 2, "cited_by_scopus": "2", "eid": "2-s2.0-85178994531", "pii": null, "open_access_url": "https://doi.org/10.46354/i3m.2023.emss.025", "sources": [ { "db": "openalex", "stream": "TRUCK", "query_id": "TRUCK-1" }, { "db": "scopus", "stream": "TRUCK", "query_id": "TRUCK-1" } ], "streams": [ "TRUCK" ], "relevance_signals": [ "TRUCK" ], "auto_exclude_reason": null, "screening_status": "pending_human_screening", "screened_by": "auto-v1.0.0" }, { "id": "doi:10.14416/j.asep.2023.03.002", "doi": "10.14416/j.asep.2023.03.002", "title": "Integration of Three Vehicle Fleet Types for Delivering Relief Supplies During a Natural Disaster", "year": 2023, "authors": [ "Patchara Kitjacharoenchai", "Peerapol Sittivijan" ], "first_author": "Patchara Kitjacharoenchai", "venue": "Applied Science and Engineering Progress", "volume": "16", "pages": null, "type": "article", "language": "en", "abstract": "The combined use of trucks and drones in last-mile delivery offers a more efficient and faster way to make deliveries from an operational standpoint. In this paper, we propose a new routing model that combines different vehicle fleets, including hybrid trucks, traditional trucks, and large drones, to deliver packages from a depot to different destinations cooperatively. This research will give us a better understanding of this drone logistics application, particularly in routing optimization. It can be further implemented to mitigate the impacts of natural disasters, mainly earthquakes, flooding, and landslides. This research aims to study the possibility of using drones to deliver relief supplies such as food, water, and medicine for humanitarian purposes during natural disaster periods to find the best possible route to directly reach the destination and minimize the flying time in the air. We develop a Mixed Integer Programming (MIP) formulation to solve the I-VRPD optimally on a simulated small-scale problem and conduct a case study in one of the most affected regions by natural disasters. The numerical analysis demonstrates an improvement in the delivery time using three experiments that include testing the model on a set of benchmark problems and a case study based on the real scenario. The results show that the delivery time of the proposed model with the integration of three types of vehicle fleets can outperform the operation performed by a single-vehicle fleet by a significant percentage.", "keywords": [ "Truck", "Drone", "Vehicle routing problem", "Computer science", "Natural disaster", "Operations research", "Integer programming", "Benchmark (surveying)", "Transport engineering", "Flooding (psychology)", "Routing (electronic design automation)", "Humanitarian Logistics" ], "cited_by_openalex": 2, "cited_by_scopus": "2", "eid": "2-s2.0-85166962442", "pii": null, "open_access_url": "https://doi.org/10.14416/j.asep.2023.03.002", "sources": [ { "db": "openalex", "stream": "TRUCK", "query_id": "TRUCK-1" }, { "db": "openalex", "stream": "TRUCK", "query_id": "TRUCK-3" }, { "db": "openalex", "stream": "UAV", "query_id": "UAV-1" }, { "db": "scopus", "stream": "TRUCK", "query_id": "TRUCK-1" }, { "db": "scopus", "stream": "TRUCK", "query_id": "TRUCK-3" }, { "db": "scopus", "stream": "UAV", "query_id": "UAV-1" }, { "db": "scopus", "stream": "UAV", "query_id": "UAV-2" } ], "streams": [ "TRUCK", "UAV" ], "relevance_signals": [ "UAV", "TRUCK" ], "auto_exclude_reason": null, "screening_status": "pending_human_screening", "screened_by": "auto-v1.0.0" }, { "id": "doi:10.1007/s11590-023-02037-1", "doi": "10.1007/s11590-023-02037-1", "title": "The rendezvous vehicle routing problem", "year": 2023, "authors": [ "Bruce Golden", "Eric Oden", "Siranjeevi Srinivasa Raghavan" ], "first_author": "Bruce Golden", "venue": "Optimization Letters", "volume": "17", "pages": "1711-1738", "type": "article", "language": "en", "abstract": null, "keywords": [ "Truck", "Rendezvous", "Vehicle routing problem", "Computer science", "Column generation", "Leverage (statistics)", "Routing (electronic design automation)", "Heuristic", "Operations research", "Mathematical optimization", "Engineering", "Computer network" ], "cited_by_openalex": 1, "cited_by_scopus": "2", "eid": "2-s2.0-85164135113", "pii": null, "open_access_url": "https://doi.org/10.1007/s11590-023-02037-1", "sources": [ { "db": "openalex", "stream": "TRUCK", "query_id": "TRUCK-1" }, { "db": "scopus", "stream": "TRUCK", "query_id": "TRUCK-1" } ], "streams": [ "TRUCK" ], "relevance_signals": [ "TRUCK_NO_CTX" ], "auto_exclude_reason": "EC-4-topic", "screening_status": "auto_excluded", "screened_by": "auto-v1.0.0" }, { "id": "doi:10.1007/978-3-031-34020-8_26", "doi": "10.1007/978-3-031-34020-8_26", "title": "Robot-Assisted Delivery Problems and Their Exact Solutions", "year": 2023, "authors": [ "Abdullahi Mohammed Jingi", "Xinan Yang" ], "first_author": "Abdullahi Mohammed Jingi", "venue": "Communications in computer and information science", "volume": "1824 CCIS", "pages": "341-353", "type": "conference-paper", "language": "en", "abstract": null, "keywords": [ "Robot", "Computer science", "Service (business)", "Truck", "Mathematical optimization", "Artificial intelligence", "Mathematics", "Engineering", "Business", "Marketing", "Automotive engineering" ], "cited_by_openalex": 0, "cited_by_scopus": "2", "eid": "2-s2.0-85163298306", "pii": null, "open_access_url": "https://doi.org/10.1007/978-3-031-34020-8_26", "sources": [ { "db": "openalex", "stream": "TRUCK", "query_id": "TRUCK-1" }, { "db": "openalex", "stream": "TRUCK", "query_id": "TRUCK-3" }, { "db": "scopus", "stream": "TRUCK", "query_id": "TRUCK-1" }, { "db": "scopus", "stream": "TRUCK", "query_id": "TRUCK-3" } ], "streams": [ "TRUCK" ], "relevance_signals": [ "TRUCK_NO_CTX" ], "auto_exclude_reason": "EC-4-topic", "screening_status": "auto_excluded", "screened_by": "auto-v1.0.0" }, { "id": "doi:10.1109/ieem58616.2023.10406620", "doi": "10.1109/ieem58616.2023.10406620", "title": "Optimizing Sustainable City Logistics: A Time Window and CO2Emissions-Aware Vehicle Routing Approach", "year": 2023, "authors": [ "Fei-Pai Liu", "Jun-Der Leu", "André Krischke" ], "first_author": "Fei-Pai Liu", "venue": "2023 IEEE International Conference on Industrial Engineering and Engineering Management Ieem 2023", "volume": null, "pages": "450-454", "type": "conference-paper", "language": "en", "abstract": "Modern digital businesses rely on efficient city logistics to satisfy customers' demands for fast deliveries. However, urban traffic congestion causes delays and significant carbon emissions, contributing to global warming. It is worth noting that vehicle emissions arise not only during transportation (hot emissions) but also during unloading (idle emissions). This research proposes a vehicle routing model for city logistics, aiming to minimize both hot and idle emissions while ensuring timely deliveries and meeting customer demands. The model considers traffic variations, and a heuristic algorithm is introduced to solve benchmark problems with 100 nodes. The algorithm's effectiveness is evaluated, and its solutions are compared to those generated by a traditional VRP algorithm that minimizes total distance and travel time. The results show that the proposed algorithm outperforms the traditional approach in terms of environmental and economic considerations.", "keywords": [ "Vehicle routing problem", "Greenhouse gas", "Idle", "Computer science", "Benchmark (surveying)", "Traffic congestion", "Routing (electronic design automation)", "Heuristic", "Transport engineering", "City logistics", "Operations research", "Environmental economics" ], "cited_by_openalex": 0, "cited_by_scopus": "2", "eid": "2-s2.0-85186109907", "pii": null, "open_access_url": "http://dx.doi.org/10.1109/ieem58616.2023.10406620", "sources": [ { "db": "openalex", "stream": "TRUCK", "query_id": "TRUCK-2" }, { "db": "scopus", "stream": "TRUCK", "query_id": "TRUCK-2" } ], "streams": [ "TRUCK" ], "relevance_signals": [ "NO_TECHNOLOGY_MATCH" ], "auto_exclude_reason": "EC-4-topic", "screening_status": "auto_excluded", "screened_by": "auto-v1.0.0" }, { "id": "doi:10.1201/9781003261513-7", "doi": "10.1201/9781003261513-7", "title": "Reliability and resilience", "year": 2023, "authors": [ "Eiichi Taniguchi", "Russell George Thompson", "Ali Gul Qureshi" ], "first_author": "Eiichi Taniguchi", "venue": null, "volume": null, "pages": null, "type": "book-chapter", "language": "en", "abstract": "Chapter 6 presents reliability and resilience associated with urban freight transport. It highlights travel time reliability in the stochastic vehicle routing and scheduling with time windows model which is often used in describing urban delivery with uncertainty. Incorporating risks of hazardous materials transport in urban areas is addressed using the multi-objective optimisation models. The resilience in disasters is also described in the situation of the reduced capacity of road network and logistics facilities in disasters.", "keywords": [ "Resilience (materials science)", "Reliability engineering", "Reliability (semiconductor)", "Computer science", "Psychology", "Engineering", "Materials science", "Physics", "Composite material" ], "cited_by_openalex": 2, "cited_by_scopus": 0, "eid": null, "pii": null, "open_access_url": "http://dx.doi.org/10.1201/9781003261513-7", "sources": [ { "db": "openalex", "stream": "TRUCK", "query_id": "TRUCK-2" } ], "streams": [ "TRUCK" ], "relevance_signals": [ "NO_TECHNOLOGY_MATCH" ], "auto_exclude_reason": "EC-4-topic", "screening_status": "auto_excluded", "screened_by": "auto-v1.0.0" }, { "id": "doi:10.2139/ssrn.4669250", "doi": "10.2139/ssrn.4669250", "title": "An Integrated Optimization Approach for Crowdshipping Leveraging Smart Lockers as Decentralized Urban Transshipment Hubs", "year": 2023, "authors": [ "Xin-Yu Zhuang", "I-Lin Wang", "Chia‐Yen Lee" ], "first_author": "Xin-Yu Zhuang", "venue": "SSRN Electronic Journal", "volume": null, "pages": null, "type": "preprint", "language": "en", "abstract": null, "keywords": [ "Transshipment (information security)", "Computer science", "Operations research", "Business", "Distributed computing", "Computer security", "Engineering" ], "cited_by_openalex": 2, "cited_by_scopus": 0, "eid": null, "pii": null, "open_access_url": "https://doi.org/10.2139/ssrn.4669250", "sources": [ { "db": "openalex", "stream": "TRUCK", "query_id": "TRUCK-2" } ], "streams": [ "TRUCK" ], "relevance_signals": [ "NO_TECHNOLOGY_MATCH" ], "auto_exclude_reason": "EC-4-topic", "screening_status": "auto_excluded", "screened_by": "auto-v1.0.0" }, { "id": "doi:10.1109/icc45041.2023.10279139", "doi": "10.1109/icc45041.2023.10279139", "title": "An Efficient Scheduling Scheme for Unmanned Aerial Vehicle Instant Delivery", "year": 2023, "authors": [ "Zhuo Qi Chen", "Xinyu Li", "Ziyi Hu", "Yue Cao", "Yulin Hu", "Hassan Jalil Hadi" ], "first_author": "Zhuo Qi Chen", "venue": null, "volume": null, "pages": null, "type": "conference-paper", "language": "en", "abstract": "As a convenient means of transportation, unmanned aerial vehicles (UAVs) can provide consumers and merchants with safe, efficient, and contactless instant delivery services. However, online orders are often concurrent, dynamic, and with time constraints in an instant delivery system. Therefore, it's important to optimally schedule the delivery sequence upon the UAVsystem. In this paper, we design a real-time UAV delivery scheduling model considering dynamic online orders. Through our instant delivery management system, the urban delivery network can be updated in real time according to order information. Considering the practical situation, customers with spatial diversity may produce orders with common order requirements, so we consider the overlap of UAV routes in the scheduling process. An order merging algorithm (OMA) is then proposed to improve the delivery efficiency (the ratio of the number of completed orders to the times UAVs visit stores) of UAVs. With the help of proposed system-level decision-making method, our system can meet real-time concurrent order demands across urban delivery networks. To evaluate the performance of system, we further carry out simulation experiments to verify the effectiveness of our scheme. Results show that the proposed UAVscheduling scheme improves the efficiency of UAV instant delivery.", "keywords": [ "Instant", "Computer science", "Scheduling (production processes)", "Real-time computing", "Schedule", "Scheme (mathematics)", "Distributed computing", "Engineering" ], "cited_by_openalex": 2, "cited_by_scopus": 0, "eid": null, "pii": null, "open_access_url": "https://doi.org/10.1109/icc45041.2023.10279139", "sources": [ { "db": "openalex", "stream": "TRUCK", "query_id": "TRUCK-2" } ], "streams": [ "TRUCK" ], "relevance_signals": [ "UAV" ], "auto_exclude_reason": null, "screening_status": "pending_human_screening", "screened_by": "auto-v1.0.0" }, { "id": "doi:10.1117/12.2689528", "doi": "10.1117/12.2689528", "title": "Optimization of logistics terminal distribution under the background of intelligent logistics", "year": 2023, "authors": [ "Mingyue Gao", "Jinhua Chu", "Haotian Cui" ], "first_author": "Mingyue Gao", "venue": null, "volume": null, "pages": null, "type": "conference-paper", "language": "en", "abstract": "With the rapid development of Internet economy, e-commerce and other new commercial forms are gradually favored by people. The urban distribution market presents a strong demand, the logistics industry grows rapidly, and the bottleneck of the \"last kilometer\" of terminal logistics is more prominent. Low distribution efficiency at the end of logistics has become a difficult problem in the development process of logistics industry. How to realize the innovation of distribution theory under the background of intelligent logistics and form the efficiency of terminal distribution operation and decision is directly related to the improvement of the taste and operation performance of modern cities. In this paper, on the basis of fully studying the current situation of logistics problems and related distribution route algorithms, the clustering algorithm combined with ant colony optimization algorithm is proposed. The K-means algorithm is used for clustering analysis of distribution points to obtain local distribution centers and customer points within the distribution range, and then the ant colony algorithm is used to find the optimal distribution route. Finally, taking the Courier data of A city as an example, the effectiveness of this algorithm for terminal delivery is verified, and a new mode of urban smart delivery system is constructed. This paper optimizes the terminal distribution network system to improve the distribution efficiency by reducing the distribution and transportation distance， and greatly reduce the distribution cost, improve customer satisfaction, for the better development of logistics enterprises and solve the logistics terminal distribution problems is of great significance.", "keywords": [ "Terminal (telecommunication)", "Computer science", "Transport engineering", "Computer network", "Engineering" ], "cited_by_openalex": 2, "cited_by_scopus": 0, "eid": null, "pii": null, "open_access_url": "https://doi.org/10.1117/12.2689528", "sources": [ { "db": "openalex", "stream": "TRUCK", "query_id": "TRUCK-2" } ], "streams": [ "TRUCK" ], "relevance_signals": [ "NO_TECHNOLOGY_MATCH" ], "auto_exclude_reason": "EC-4-topic", "screening_status": "auto_excluded", "screened_by": "auto-v1.0.0" }, { "id": "doi:10.1016/j.trpro.2023.11.878", "doi": "10.1016/j.trpro.2023.11.878", "title": "Comparison of the social cost of cargo bikes, electric and thermal commercial trucks for urban deliveries", "year": 2023, "authors": [ "Antoine Robichet", "Patrick Niérat", "François Combes" ], "first_author": "Antoine Robichet", "venue": "Transportation research procedia", "volume": "72", "pages": "3174-3181", "type": "article", "language": "en", "abstract": "Road transport is a major contributor to greenhouse gas emissions on a global scale. In addition, in urban areas, other negative externalities must be considered, such as congestion, noise, etc. Freight transport is responsible for a significant part of these externalities which companies are not, today, financially charged. To address these issues, one solution is to operate the city in a more sustainable way. In this study, we compare the social cost (cost of ownership and environmental cost) of three technologies (Light Commercial Trucks – LCTs, electric LCTs and cargo bikes) in the case of Paris City. The main results indicate that it is worthwhile to use cargo bikes up to a certain point, the optimum being a mixed fleet. The originality of this study is that it is based on an operational database of one carrier's activities during two months in the Ile-de-France region.", "keywords": [ "Truck", "Externality", "Transport engineering", "Business", "Greenhouse gas", "Social cost", "Scale (ratio)", "Environmental economics", "Sustainable transport", "Point (geometry)", "Engineering", "Economics" ], "cited_by_openalex": 4, "cited_by_scopus": "2", "eid": "2-s2.0-85182948735", "pii": "S2352146523011766", "open_access_url": "https://doi.org/10.1016/j.trpro.2023.11.878", "sources": [ { "db": "openalex", "stream": "TRUCK", "query_id": "TRUCK-3" }, { "db": "scopus", "stream": "TRUCK", "query_id": "TRUCK-3" } ], "streams": [ "TRUCK" ], "relevance_signals": [ "TRUCK" ], "auto_exclude_reason": null, "screening_status": "pending_human_screening", "screened_by": "auto-v1.0.0" }, { "id": "doi:10.1002/net.22178", "doi": "10.1002/net.22178", "title": "A granular iterated local search for the asymmetric single truck and trailer routing problem with satellite depots at DHL Group", "year": 2023, "authors": [ "Rossana Cavagnini", "Michael Schneider", "Alina Theiß" ], "first_author": "Rossana Cavagnini", "venue": "Networks", "volume": "83", "pages": "3-29", "type": "article", "language": "en", "abstract": "Abstract To plan the postal deliveries of our industry partner DHL Group (DHL), the single truck and trailer routing problem with satellite depots (STTRPSD) is solved to optimize mail carriers routes. In this application context, instances feature a high number of customers and satellites, and they are based on real street networks. This motivates the study of the asymmetric STTRPSD (ASTTRPSD). The heuristic solution methods proposed in the literature for the STTRPSD can either solve only the symmetric problem variant, or it is unclear whether they can also be used to solve the ASTTRPSD. We introduce an iterated local search, called ILS‐ASTTRPSD, which generates different first‐level tours in the perturbation phase, and improves the second‐level tours in the local search phase. To speed up the search, granular neighborhoods are used. The computational results on instances from the literature prove the capability of ILS‐ASTTRPSD to return high‐quality solutions. On DHL instances, ILS‐ASTTRPSD significantly decreases total travel times of the mail carriers and returns solutions with a different structure compared to the ones provided by DHL. Based on these differences, we give recommendations on how DHL could design more efficient mail carrier practices. Dedicated computational experiments reveal that considering parking and loading times when solving the ASTTRPSD leads to lower travel times, and that ignoring parking times is more counterproductive than ignoring loading times. Moreover, we assess the robustness of our solutions under parking time fluctuations. Finally, we derive properties of instances for which optimal solutions contain multiple second‐level tours rooted at the same parking spot and for which the optimal solutions of the ASTTRPSD correspond to the ones of a pure traveling salesman problem.", "keywords": [ "Iterated local search", "Computer science", "Robustness (evolution)", "Iterated function", "Routing (electronic design automation)", "Truck", "Mathematical optimization", "Context (archaeology)", "Local search (optimization)", "Operations research", "Mathematics", "Computer network" ], "cited_by_openalex": 4, "cited_by_scopus": "2", "eid": "2-s2.0-85168285735", "pii": null, "open_access_url": "https://onlinelibrary.wiley.com/doi/pdfdirect/10.1002/net.22178", "sources": [ { "db": "openalex", "stream": "TRUCK", "query_id": "TRUCK-3" }, { "db": "scopus", "stream": "TRUCK", "query_id": "TRUCK-3" } ], "streams": [ "TRUCK" ], "relevance_signals": [ "TRUCK" ], "auto_exclude_reason": null, "screening_status": "pending_human_screening", "screened_by": "auto-v1.0.0" }, { "id": "doi:10.1097/jom.0000000000002914", "doi": "10.1097/jom.0000000000002914", "title": "The Efficacy and Feasibility of a High Intensity Interval Training Program to Improve Cardiorespiratory Fitness in Truck Drivers", "year": 2023, "authors": [ "Nicholas David Gilson", "Grégore Iven Mielke", "Jeff Scott Coombes", "Mitch J. Duncan", "Wendy J. Brown" ], "first_author": "Nicholas David Gilson", "venue": "Journal of Occupational and Environmental Medicine", "volume": "65", "pages": "836-840", "type": "article", "language": "en", "abstract": "OBJECTIVE: This cluster-controlled pilot study assessed the efficacy and feasibility of \"Fit 2 Drive,\" a depot-delivered, high-intensity interval training (HIIT) program to improve the cardiorespiratory fitness (CRF) of truck drivers. METHODS: Companies of local delivery drivers (44 men; mean [SD] age = 50.5 [9.8] years; Brisbane, Australia) were assigned to \"Fit 2 Drive\" (4 clusters; 27 drivers; 1 × 4 minutes supervised to self-managed HIIT, 3 times a week, 12 weeks) or a control (5 clusters; 17 drivers). Analyses assessed between group changes in CRF (VO 2peak ), HIIT session attendance, and delivery costs. RESULTS: Driver clusters allocated to \"Fit 2 Drive\" significantly improved CRF compared to a control (mean difference of 3.6 mL·kg -1 ·min -1 ; P < 0.019; 95% confidence interval = 0.7-6.5 mL·kg -1 ·min -1 ). Drivers who completed the program attended 70% of sessions (25/36) with delivery costs averaging $710 AUD per driver. CONCLUSIONS: The findings support the efficacy and feasibility of Fit 2 Drive but also highlight challenges for in-person delivery at scale.", "keywords": [ "Cardiorespiratory fitness", "Attendance", "Interval training", "High-intensity interval training", "Confidence interval", "Medicine", "Physical therapy", "Internal medicine" ], "cited_by_openalex": 15, "cited_by_scopus": "2", "eid": "2-s2.0-85174752427", "pii": null, "open_access_url": "https://doi.org/10.1097/jom.0000000000002914", "sources": [ { "db": "openalex", "stream": "TRUCK", "query_id": "TRUCK-3" }, { "db": "scopus", "stream": "TRUCK", "query_id": "TRUCK-3" } ], "streams": [ "TRUCK" ], "relevance_signals": [ "TRUCK_NO_CTX" ], "auto_exclude_reason": "EC-4-topic", "screening_status": "auto_excluded", "screened_by": "auto-v1.0.0" }, { "id": "title:multi depot vehicle routing problem with drone collaboration in humanitarian logistic", "doi": null, "title": "MULTI-DEPOT VEHICLE ROUTING PROBLEM WITH DRONE COLLABORATION IN HUMANITARIAN LOGISTIC", "year": 2023, "authors": [ "Zeynep Yüksel", "Dursun Emre Epcim", "Süleyman Mete" ], "first_author": "Zeynep Yüksel", "venue": "DergiPark (Istanbul University)", "volume": null, "pages": null, "type": "article", "language": "en", "abstract": "Routing problems are used in many areas to obtain the most appropriate results in terms of time and cost. An attempt is made to address the issue by formulating mathematical models that incorporate multiple variables such as capacity, time, cost, and demand, tailored to the specific area of application. Natural disasters are one of these applications. In natural disasters, especially time management is a critical issue. For this reason, routing models play a crucial role in delivering aid to disaster victims and transporting disaster victims to hospitals. In this study, a mathematical model is proposed to be applied in post-disaster humanitarian aid logistics. The model, which aims to minimize the total distribution time, also considers the distribution of perishable commodities. Drones are integrated into this operational framework to facilitate the dissemination of perishable commodities. Thus, a new mathematical model for the multi-depot vehicle routing problem, which includes both truck-drone collaboration and perishable commodities, has been introduced to the literature. The proposed model is solved with an illustrative example using GAMS/CPLEX software and the results are tested.", "keywords": [ "Drone", "Vehicle routing problem", "Depot", "Routing (electronic design automation)", "Operations research", "Computer science", "Aeronautics", "Engineering", "Computer network", "Political science", "Law" ], "cited_by_openalex": 2, "cited_by_scopus": 0, "eid": null, "pii": null, "open_access_url": "https://dergipark.org.tr/en/download/article-file/3616334", "sources": [ { "db": "openalex", "stream": "TRUCK", "query_id": "TRUCK-3" }, { "db": "openalex", "stream": "UAV", "query_id": "UAV-2" } ], "streams": [ "TRUCK", "UAV" ], "relevance_signals": [ "UAV_NO_CTX", "TRUCK_NO_CTX" ], "auto_exclude_reason": "EC-4-topic", "screening_status": "auto_excluded", "screened_by": "auto-v1.0.0" }, { "id": "doi:10.21512/comtech.v14i1.8397", "doi": "10.21512/comtech.v14i1.8397", "title": "A Robust Optimizing Reverse Logistics Model for Beef Products Using Multi Depot Vehicle Routing Problem", "year": 2023, "authors": [ "Paduloh Paduloh", "Taufik Djatna" ], "first_author": "Paduloh Paduloh", "venue": "ComTech Computer Mathematics and Engineering Applications", "volume": null, "pages": null, "type": "article", "language": "en", "abstract": "Beef is a perishable product and requires special handling. Demand for beef also fluctuates quite high and is heavily influenced by various religious events and traditions in Indonesia. Under these conditions, for various reasons, beef products are returned from customers to distributors. An increase in the number of products returned from customers leads to high costs and the risk of product damage. The research created an optimization model for product distribution and product recall from customers with minimal costs and risks. The research applied a clustering method using the Density-Based Spatial Clustering (DBSCAN) algorithm to determine the density of customers’ locations and the number of orders. Optimization of distance and distribution and withdrawal costs applied Multi Depot Vehicle Routing Problem (MDVRP) and Mixed Integer Linear Programming (MILP) mathematical modeling. The results indicate three customer clusters with one noise, with the most potential customers in cluster 1. From this condition, product delivery optimization is based on the distance and number of shipments from the two central warehouses. Optimization uses of MDVRP and MILP to model and make company-owned trucks more profitable at high rental truck replacement costs. The research produces a robust model for changes in the truck number and capacity based on sensitivity analysis.", "keywords": [ "Truck", "Vehicle routing problem", "Cluster analysis", "Computer science", "Product (mathematics)", "DBSCAN", "Reverse logistics", "Renting", "Routing (electronic design automation)", "Operations research", "Integer programming", "Business" ], "cited_by_openalex": 2, "cited_by_scopus": 0, "eid": null, "pii": null, "open_access_url": "https://journal.binus.ac.id/index.php/comtech/article/download/8397/4754", "sources": [ { "db": "openalex", "stream": "TRUCK", "query_id": "TRUCK-3" } ], "streams": [ "TRUCK" ], "relevance_signals": [ "TRUCK_NO_CTX" ], "auto_exclude_reason": "EC-4-topic", "screening_status": "auto_excluded", "screened_by": "auto-v1.0.0" }, { "id": "doi:10.1109/itnec56291.2023.10082608", "doi": "10.1109/itnec56291.2023.10082608", "title": "A Hybrid Variable Neighborhood Search Algorithm on Routing and Scheduling for Truck-Assisted Multi-Drone Parcel Delivery", "year": 2023, "authors": [ "Meng Cai", "Hongyan Qian" ], "first_author": "Meng Cai", "venue": "Itnec 2023 IEEE 6th Information Technology Networking Electronic and Automation Control Conference", "volume": null, "pages": "1725-1729", "type": "conference-paper", "language": "en", "abstract": "In this paper, we study the routing and scheduling for truck-assisted multi-drone parcel delivery. Considering the existing model TSP-mD, two different road networks are adopted, where truck and drones transport goods along Manhattan distance and Euclidean distance, respectively. At the same time allowing truck to launch multiple drones at the same location, the drones can fly out from the depot to serve customers before returning to the truck, or take off from the truck to serve customers eventually flying back to the depot. Based on the common TSP, an integer planning model of TSP-mD with the shortest completion time as the optimization objective is constructed, and a hybrid variable neighborhood search algorithm is designed. Finally, experimental data prove that both the proposed model and HVNS algorithm in this paper are effective.", "keywords": [ "Drone", "Truck", "Variable neighborhood search", "Scheduling (production processes)", "Vehicle routing problem", "Computer science", "Routing (electronic design automation)", "Route planning", "Job shop scheduling", "Travelling salesman problem", "Integer programming", "Variable (mathematics)" ], "cited_by_openalex": 1, "cited_by_scopus": "2", "eid": "2-s2.0-85152768441", "pii": null, "open_access_url": "http://dx.doi.org/10.1109/itnec56291.2023.10082608", "sources": [ { "db": "openalex", "stream": "TRUCK", "query_id": "TRUCK-3" }, { "db": "openalex", "stream": "UAV", "query_id": "UAV-1" }, { "db": "scopus", "stream": "TRUCK", "query_id": "TRUCK-3" }, { "db": "scopus", "stream": "UAV", "query_id": "UAV-1" } ], "streams": [ "TRUCK", "UAV" ], "relevance_signals": [ "UAV", "TRUCK" ], "auto_exclude_reason": null, "screening_status": "pending_human_screening", "screened_by": "auto-v1.0.0" }, { "id": "doi:10.2139/ssrn.4436902", "doi": "10.2139/ssrn.4436902", "title": "A New Perspective on Carrier Collaboration: Collaborative Vehicle Utilization", "year": 2023, "authors": [ "Sahand Asgharieh Ahari", "Ilke Bakir", "Kees Jan Roodbergen" ], "first_author": "Sahand Asgharieh Ahari", "venue": "SSRN Electronic Journal", "volume": null, "pages": null, "type": "preprint", "language": "en", "abstract": null, "keywords": [ "Perspective (graphical)", "Computer science", "Business", "Artificial intelligence" ], "cited_by_openalex": 2, "cited_by_scopus": 0, "eid": null, "pii": null, "open_access_url": "https://doi.org/10.2139/ssrn.4436902", "sources": [ { "db": "openalex", "stream": "TRUCK", "query_id": "TRUCK-3" } ], "streams": [ "TRUCK" ], "relevance_signals": [ "NO_TECHNOLOGY_MATCH" ], "auto_exclude_reason": "EC-4-topic", "screening_status": "auto_excluded", "screened_by": "auto-v1.0.0" }, { "id": "doi:10.1177/03611981231211893", "doi": "10.1177/03611981231211893", "title": "Estimation of the Effect of Self-Driving and En Route Preparation in Urban Parcel Delivery: The Case in Seoul", "year": 2023, "authors": [ "Keyju Lee", "Dongjin Jeong", "Junjae Chae" ], "first_author": "Keyju Lee", "venue": "Transportation Research Record Journal of the Transportation Research Board", "volume": "2678", "pages": "992-1010", "type": "article", "language": "en", "abstract": "Self-driving technology is on the verge of commercialization and is expected to be utilized in delivery services. At the same time, low efficiency and physical limitations of last mile robots (especially for non-standardized cargo, stairs, etc.) are being pointed out. In addition, as leading overseas companies design robots to complete delivery through interaction with the recipient, it may be difficult to implement the robots in delivery environments like South Korea, where most parcels are not delivered face-to-face. Therefore, this study considers a parcel delivery model in which a person, not a robot, is on-board an autonomous truck for door-to-door deliveries. This study takes three expected effects of a self-driving vehicle into consideration: (i) reduced travel time, owing to alleviation of traffic congestion; (ii) reduced service time, owing to relaxed parking restrictions; and (iii) benefits from en route preparation (planning and collecting in advance of arrival) that can be realized when a person is not required in the driver’s seat. The findings from a case study conducted in Seoul indicate that advanced self-driving capabilities and en route preparation can potentially lead to a doubling of the delivery capacity at a terminal, along with a reduction of over 40% in operating costs per box. As suggested in this study, the en route preparation activities are verified to bring benefits.", "keywords": [ "Transport engineering", "Truck", "Traffic congestion", "Stairs", "Robot", "Commercialization", "Service (business)", "Computer science", "Simulation", "Engineering", "Business", "Automotive engineering" ], "cited_by_openalex": 2, "cited_by_scopus": "2", "eid": "2-s2.0-85179334155", "pii": null, "open_access_url": "https://doi.org/10.1177/03611981231211893", "sources": [ { "db": "openalex", "stream": "TRUCK", "query_id": "TRUCK-3" }, { "db": "scopus", "stream": "TRUCK", "query_id": "TRUCK-1" }, { "db": "scopus", "stream": "TRUCK", "query_id": "TRUCK-3" } ], "streams": [ "TRUCK" ], "relevance_signals": [ "TRUCK" ], "auto_exclude_reason": null, "screening_status": "pending_human_screening", "screened_by": "auto-v1.0.0" }, { "id": "doi:10.33714/masteb.1224099", "doi": "10.33714/masteb.1224099", "title": "Optimization for Green Container Shipping: A Review and Future Research Directions", "year": 2023, "authors": [ "Ercan Kurtuluş" ], "first_author": "Ercan Kurtuluş", "venue": "Marine Science and Technology Bulletin", "volume": null, "pages": null, "type": "article", "language": "en", "abstract": "Maritime freight transportation is one of the least emissions-producing transportation alternatives in terms of transported tonnage per distance. However, it produces a high amount of emissions as around 80% of international freight transportation is conducted through seas and 20% of maritime transportation is conducted through container shipping. This makes it crucial to reduce emissions in container shipping. In this regard, this study reviewed previous studies on the environmental optimization of container shipping and identified various future research directions. The results showed that in the sea segment of environmental optimization of container shipping, decisions which require further attention include resource allocation, emission reduction technology choice, disruption recovery, freight rate optimization, and shipment scheduling. The decisions that require future research in the port segment are related to internal transportation and handing operations in container terminals (i.e., yard crane deployment, yard truck deployment, yard truck scheduling, yard container stack allocation, yard container retrieval), renewable energy source installation, and emission reduction technology choice. Vessel scheduling and speed optimization decisions are the most frequently studied decisions in the sea segment, but they are rarely considered for inland shipping of containers. In the sea-port combined segment of container shipping, future studies are required in quay crane scheduling, vessel scheduling, container route allocation, ship route allocation vessel deployment, and emission reduction technology choice. The least studied decision in the door-to-door segment of container shipping includes hub location-allocation, empty container relocation, ship route allocation, vessel deployment, environmental taxation and subsidy scheme, emissions reduction technology choice, and speed optimization. It was also demonstrated that modeling of future studies should more frequently consider uncertainties and social sustainability parameters.", "keywords": [ "Truck", "Container (type theory)", "Yard", "Software deployment", "Transport engineering", "Port (circuit theory)", "Shipyard", "Scheduling (production processes)", "Operations research", "Engineering", "Operations management", "Automotive engineering" ], "cited_by_openalex": 2, "cited_by_scopus": 0, "eid": null, "pii": null, "open_access_url": "https://dergipark.org.tr/en/download/article-file/2851827", "sources": [ { "db": "openalex", "stream": "TRUCK", "query_id": "TRUCK-3" } ], "streams": [ "TRUCK" ], "relevance_signals": [ "TRUCK_NO_CTX" ], "auto_exclude_reason": "EC-4-topic", "screening_status": "auto_excluded", "screened_by": "auto-v1.0.0" }, { "id": "doi:10.4102/jamba.v15i1.1444", "doi": "10.4102/jamba.v15i1.1444", "title": "Applying network flow optimisation techniques to minimise cost associated with flood disaster", "year": 2023, "authors": [ "Simon D. Okonta", "John Olutunji Olaomi" ], "first_author": "Simon D. Okonta", "venue": "Jàmbá Journal of Disaster Risk Studies", "volume": "15", "pages": null, "type": "article", "language": "en", "abstract": "Flooding disasters in most parts of the world has become worrisome to the government and to the humanitarian emergency organisations. In this article, the authors proffer a mathematical solution to minimise the cost of rescue operations, using stochastic programming of a multicommodity and multimodel network flow. In the formulation, the authors considered four supply depots: national centre depot (NCD), three local distribution centres (LDCs) and six points of distribution (PODs). Two vehicle types were helicopters by air and trucks by land. Three basic types of emergency relief materials include food, water and medical items. Three basic scenarios were mild, medium and severe situations with associated probabilities of 0.25, 0.5 and 0.25, respectively. The formulated model was solved using the LINGO software. The results show that the formulated model effectively reduced the cost of distribution during emergency rescue operation, as there was a thin line between demand and met demand. For the scope of this model, a minimised cost of about $1016673.37 is sufficient to carry out successful rescue operations. Contribution: The estimated amount of $1016673.37 becomes a benchmark for the government, research agencies and other developmental agencies for the purpose of planning. By using the air and road transport modes, and allowing direct and indirect transportation to the PODs, it saved time, resulting in many lives being saved.", "keywords": [ "Truck", "Scope (computer science)", "Operations research", "Flood myth", "Transport engineering", "Government (linguistics)", "Total cost", "Computer science", "Benchmark (surveying)", "Flooding (psychology)", "Emergency management", "Flow network" ], "cited_by_openalex": 2, "cited_by_scopus": "2", "eid": "2-s2.0-85174214563", "pii": null, "open_access_url": "https://jamba.org.za/index.php/jamba/article/download/1444/2667", "sources": [ { "db": "openalex", "stream": "TRUCK", "query_id": "TRUCK-3" }, { "db": "scopus", "stream": "TRUCK", "query_id": "TRUCK-3" } ], "streams": [ "TRUCK" ], "relevance_signals": [ "TRUCK_NO_CTX" ], "auto_exclude_reason": "EC-4-topic", "screening_status": "auto_excluded", "screened_by": "auto-v1.0.0" }, { "id": "doi:10.5281/zenodo.8428084", "doi": "10.5281/zenodo.8428084", "title": "Container Logistics Object-centric Event Log", "year": 2023, "authors": [ "Benedikt Knopp", "Nina Graves" ], "first_author": "Benedikt Knopp", "venue": "Zenodo (CERN European Organization for Nuclear Research)", "volume": null, "pages": null, "type": "dataset", "language": "en", "abstract": "General Description Our company sells goods overseas. After receiving an order, the shipment of goods is scheduled. According to this schedule, the goods are picked up from the local production site and brought to a terminal where a logistics service provider receives and ships them. This is an artificial event log according to the OCEL 2.0 Standard simulated using CPN-Tools. Both the CPN and the SQLite can be downloaded. Process Overview From a customer order perspective, the process begins when the order is registered at our company (register customer order). After registration, a transport document is created in which details of the further process are recorded (create transport document). Using this information, the logistics service provider is contacted to coordinate the transport of the ordered goods to the seaport. Twice a week, that provider sends a vehicle to a terminal, with a limited capacity for containers of ordered goods to be transported from the terminal to a seaport. For our company, available capacties vary from vehicle to vehicle, as we are not the only company booking spots. Once the logistics service provider receives our transport documents, they book capacities according to availability and container prioritizations in the upcoming weeks (book vehicles). Once the dates for transporting the goods to the terminal are set, our company contacts a container depot to reserve the required containers (order empty containers). When a container’s vehicle departure approaches, the goods are prepared, packed and shipped to the terminal. For this purpose, a truck is sent to the container depot (pick up empty container). Meanwhile, the ordered goods to be shipped are packed into handling units at the production site. After loading the handling units (load truck), the truck drives the full container to the terminal (drive to terminal). At the terminal, the container is picked up by a free forklift and weighed (weigh). Unless the vehicle departure is imminent, the container is placed in the storage location at the terminal (place in stock). Finally, it is moved to the vehicle (bring to loading bay, load to vehicle) which departs at a fixed time (depart). Despite careful planning, containers sometimes miss a vehicle’s departure. In this case, the container is rescheduled to the next possible vehicle (reschedule container) and kept near the loading ramp until then. Further information can be found at: https://www.ocel-standard.org/beta/event-logs/simulations/logistics/ General Properties An overview of log properties is given below. Property Value Event Types 14 Object Types 7 Events 35761 Objects 14013 Control-Flow Behavior The behavior of the log is described by a respective object-centric Petri net. Also, individual object types exhibit behavior that can be described by simpler Petri nets. See below. Container Transport Documents Customer Order Truck Forklift Vehicle Handling Unit Object Relationships During the process, object-to-object relations can emerge at activity occurrences as follows. Activity Source Object Type Target Object Type Qualifier Create Transport Document Customer Order Transport Document TD for CO Book Vehicle Transport Document Vehicle Regular VH for TD Book Vehicle Transport Document Vehicle High-Prio VH for TD Order Empty Containers Transport Document Container CR for TD Pick Empty Container Truck Container TR loads CR Load Truck Container Handling Unit CR contains HU Reschedule Container Transport Document Vehicle Substitute VH for TD Simulation Model The CPN used to create this event log can also be downloaded.To obtain simulated data, extract the linked ZIP file and play out the CPN therein, e.g., by using CPN Tools. The play-out produces CSV files according to the schema of OCEL2.0. This Python notebook can be used to convert these files to an SQLite dump. For a technical documentation of the simulation model, please open the attached CPN with CPN Tools and see the annotations therein. Acknowledgements Funded under the Excellence Strategy of the Federal Government and the Länder. Funded by the Deutsche Forschungsgemeinschaft (DFG, German Research Foundation) under Germany's Excellence Strategy - EXC-2023 Internet of Production - 390621612. We also thank the Alexander von Humboldt (AvH) Stiftung for supporting our research.", "keywords": [ "Container (type theory)", "Event (particle physics)", "Object (grammar)", "Computer science", "Database", "Artificial intelligence", "Engineering", "Physics" ], "cited_by_openalex": 2, "cited_by_scopus": 0, "eid": null, "pii": null, "open_access_url": "https://zenodo.org/record/8428084", "sources": [ { "db": "openalex", "stream": "TRUCK", "query_id": "TRUCK-3" } ], "streams": [ "TRUCK" ], "relevance_signals": [ "TRUCK_NO_CTX" ], "auto_exclude_reason": "EC-4-topic", "screening_status": "auto_excluded", "screened_by": "auto-v1.0.0" }, { "id": "doi:10.2478/amns.2023.1.00251", "doi": "10.2478/amns.2023.1.00251", "title": "Development and Application of Field Mixing Process and Intelligent Mixing Vehicle for Plateau Type Emulsified Explosives for Open Pit Mining", "year": 2023, "authors": [ "Xiuyong Tang", "Bin Chen", "Mingjie Li" ], "first_author": "Xiuyong Tang", "venue": "Applied Mathematics and Nonlinear Sciences", "volume": "9", "pages": null, "type": "article", "language": "en", "abstract": "Abstract To improve mine production efficiency, reduce blasting costs, and meet the needs of mine capacity expansion, the use of an on-site mixing emulsion explosives truck for open pit iron ore deep hole step blasting charging operation. This paper firstly briefly introduces the process flow of emulsion explosives production and makes a detailed introduction to the working principle and process control requirements of each section of emulsion explosives production. Based on the analysis of the basic principle of adaptive control, the adaptive PID controller is designed to control the discharge temperature and density of emulsion explosives production and to achieve self-tuning of parameters, which improves the control accuracy of production parameters and product quality. The research results show that the use of field mixing emulsion explosives, and blasting operations personnel was reduced by 40% to 50%, and the drilling workload was reduced by about 7%. The application of field mixing emulsion technology improves the blasting effect, increases shovel loading efficiency, reduces the labor intensity of workers, saves comprehensive mining costs, and reduces the cost of temporary explosives depot guarding and disposal of used packaging in mines.", "keywords": [ "Explosive material", "Mixing (physics)", "Emulsion", "Process engineering", "Controller (irrigation)", "Process (computing)", "Automotive engineering", "Environmental science", "Engineering", "Mechanical engineering", "Computer science" ], "cited_by_openalex": 1, "cited_by_scopus": "2", "eid": "2-s2.0-85167510066", "pii": null, "open_access_url": "https://sciendo.com/pdf/10.2478/amns.2023.1.00251", "sources": [ { "db": "openalex", "stream": "TRUCK", "query_id": "TRUCK-3" }, { "db": "scopus", "stream": "TRUCK", "query_id": "TRUCK-3" } ], "streams": [ "TRUCK" ], "relevance_signals": [ "TRUCK_NO_CTX" ], "auto_exclude_reason": "EC-4-topic", "screening_status": "auto_excluded", "screened_by": "auto-v1.0.0" }, { "id": "doi:10.1007/978-3-031-36698-7_21", "doi": "10.1007/978-3-031-36698-7_21", "title": "Machine Learning for Drone-Based Last Mile Delivery of Perishables", "year": 2023, "authors": [ "Selwyn Piramuthu" ], "first_author": "Selwyn Piramuthu", "venue": "Progress in IS", "volume": "Part F2548", "pages": "201-209", "type": "conference-paper", "language": "en", "abstract": null, "keywords": [ "Drone", "Mile", "Last mile (transportation)", "Computer science", "Engineering", "Geography" ], "cited_by_openalex": 2, "cited_by_scopus": "2", "eid": "2-s2.0-85191535632", "pii": null, "open_access_url": "https://doi.org/10.1007/978-3-031-36698-7_21", "sources": [ { "db": "openalex", "stream": "UAV", "query_id": "UAV-1" }, { "db": "scopus", "stream": "UAV", "query_id": "UAV-1" } ], "streams": [ "UAV" ], "relevance_signals": [ "UAV" ], "auto_exclude_reason": null, "screening_status": "pending_human_screening", "screened_by": "auto-v1.0.0" }, { "id": "doi:10.1007/978-3-031-23721-8_98", "doi": "10.1007/978-3-031-23721-8_98", "title": "The Use of Drones in City Logistics—A Case Study Application", "year": 2023, "authors": [ "Theonymphi Xydianou", "Eftihia Nathanail" ], "first_author": "Theonymphi Xydianou", "venue": "Lecture notes in intelligent transportation and infrastructure", "volume": "Part F1378", "pages": "1218-1232", "type": "conference-paper", "language": "en", "abstract": null, "keywords": [ "Drone", "Business", "Aeronautics", "Engineering", "Biology" ], "cited_by_openalex": 4, "cited_by_scopus": "2", "eid": "2-s2.0-85171332226", "pii": null, "open_access_url": "https://doi.org/10.1007/978-3-031-23721-8_98", "sources": [ { "db": "openalex", "stream": "UAV", "query_id": "UAV-1" }, { "db": "scopus", "stream": "UAV", "query_id": "UAV-1" } ], "streams": [ "UAV" ], "relevance_signals": [ "UAV" ], "auto_exclude_reason": null, "screening_status": "pending_human_screening", "screened_by": "auto-v1.0.0" }, { "id": "doi:10.2139/ssrn.4485428", "doi": "10.2139/ssrn.4485428", "title": "Crowdsourced Vehicles and Uavs for Last-Mile Delivery Application Using Blockchain-Hosted Matching Mechanism", "year": 2023, "authors": [ "Maha Kadadha", "Rabeb Mizouni", "Shakti Singh", "Hadi Otrok", "Azzam Mourad" ], "first_author": "Maha Kadadha", "venue": "SSRN Electronic Journal", "volume": null, "pages": null, "type": "preprint", "language": "en", "abstract": null, "keywords": [ "Blockchain", "Crowdsourcing", "Last mile (transportation)", "Mile", "Computer science", "Matching (statistics)", "Mechanism (biology)", "Computer security", "World Wide Web", "Geography", "Physics" ], "cited_by_openalex": 2, "cited_by_scopus": 0, "eid": null, "pii": null, "open_access_url": "https://doi.org/10.2139/ssrn.4485428", "sources": [ { "db": "openalex", "stream": "UAV", "query_id": "UAV-1" } ], "streams": [ "UAV" ], "relevance_signals": [ "UAV" ], "auto_exclude_reason": null, "screening_status": "pending_human_screening", "screened_by": "auto-v1.0.0" }, { "id": "doi:10.1109/icetci57876.2023.10176906", "doi": "10.1109/icetci57876.2023.10176906", "title": "Urban drone delivery path optimization in the context of green carbon reduction", "year": 2023, "authors": [ "Hanxi Li", "Yi Gang Sun", "Song Cai" ], "first_author": "Hanxi Li", "venue": "2023 IEEE 3rd International Conference on Electronic Technology Communication and Information Icetci 2023", "volume": null, "pages": "1521-1526", "type": "conference-paper", "language": "en", "abstract": "With the further development of economy and technology, the problem of the last kilometre in logistics distribution has become a key issue restricting the whole logistics distribution chain. With the characteristics of low cost, high speed and high accuracy, drone delivery has become a better choice to solve the last-mile problem. This paper establishes a VRP model for drone delivery, studies the optimal solution for drone delivery under the constraints, improves the ability to solve complex problems, and introduces arithmetic examples for verification analysis to enhance the persuasive power of the model.", "keywords": [ "Drone", "Context (archaeology)", "Computer science", "Path (computing)", "Key (lock)", "Reduction (mathematics)", "Last mile (transportation)", "Mathematical optimization", "Cost reduction", "Operations research", "Simulation", "Mile" ], "cited_by_openalex": 2, "cited_by_scopus": "2", "eid": "2-s2.0-85166474018", "pii": null, "open_access_url": "https://doi.org/10.1109/icetci57876.2023.10176906", "sources": [ { "db": "openalex", "stream": "UAV", "query_id": "UAV-1" }, { "db": "scopus", "stream": "UAV", "query_id": "UAV-1" } ], "streams": [ "UAV" ], "relevance_signals": [ "UAV" ], "auto_exclude_reason": null, "screening_status": "pending_human_screening", "screened_by": "auto-v1.0.0" }, { "id": "doi:10.54097/ijeh.v8i1.7255", "doi": "10.54097/ijeh.v8i1.7255", "title": "Urban Area End Logistics Drones Distribution Route Planning", "year": 2023, "authors": [ "Fang Tan" ], "first_author": "Fang Tan", "venue": "International Journal of Education and Humanities", "volume": null, "pages": null, "type": "article", "language": "en", "abstract": "With the development of logistics technology, the application of drones in the last mile of logistics distribution has also become a hot topic. Due to the complexity and particularity of the flight environment in urban areas, UAVs need to comprehensively consider safety performance and flight energy consumption when conducting terminal logistics distribution. Based on this, this paper constructs a mathematical model with the goal of shortening flight paths, reducing energy consumption, and improving flight safety, and completes environmental modeling using grid method and genetic algorithm to solve the model. At the same time, the battery energy consumption of the UAV is calculated using the energy consumption segmentation mode. The experimental results of a numerical example verify the effectiveness of the model and algorithm, and also prove that considering segmented energy consumption can more accurately calculate the battery energy consumption of unmanned aerial vehicles.", "keywords": [ "Drone", "Energy consumption", "Computer science", "Grid", "Fuel efficiency", "Battery (electricity)", "Automotive engineering", "Consumption (sociology)", "Genetic algorithm", "Energy (signal processing)", "Real-time computing", "Simulation" ], "cited_by_openalex": 2, "cited_by_scopus": 0, "eid": null, "pii": null, "open_access_url": "https://drpress.org/ojs/index.php/ijeh/article/download/7255/7055", "sources": [ { "db": "openalex", "stream": "UAV", "query_id": "UAV-1" } ], "streams": [ "UAV" ], "relevance_signals": [ "UAV" ], "auto_exclude_reason": null, "screening_status": "pending_human_screening", "screened_by": "auto-v1.0.0" }, { "id": "doi:10.1109/aece59614.2023.10428514", "doi": "10.1109/aece59614.2023.10428514", "title": "Design of AED Based Drone to Deliver the Medical Kit on an Emergency Basis", "year": 2023, "authors": [ "P. Nagarani", "Mohd Wazih Ahmad", "R. Shanmuka Shalini", "Pavitar Parkash Singh" ], "first_author": "P. Nagarani", "venue": "2023 3rd International Conference on Advancement in Electronics and Communication Engineering Aece 2023", "volume": null, "pages": "630-633", "type": "conference-paper", "language": "en", "abstract": "Access to reliable modes of transportation is essential. Postal delivery to multi-million-dollar freight transports, practically everything is linked to its connections. Wheeled motor vehicles and manned aeroplanes are now the only options for transporting medical supplies at times of urgent need, which may be expensive, time-consuming, and often impossible if the emergency site is far. Drones are a game-changer in the medical industry because they can transfer vital supplies like blood and medical equipment. Unfortunately, given the state of the art, the drone's battery life is a constraint that may slow down the delivery process. This article details the research into the mechanisms designed for drones to increase their battery life and efficiently deliver first aid supplies. The drone's system safely delivers and drops medical supplies, reducing the drone's takeoffs and landings. The primary goal of this research is to develop a device that can safely transport medical equipment to its destination and then carefully unload it there. Results showed the system could safely transport and deploy first aid supplies during flight and landing.", "keywords": [ "Drone", "Computer science", "Aeronautics", "Basis (linear algebra)", "Medical emergency", "Medicine", "Engineering" ], "cited_by_openalex": 4, "cited_by_scopus": "2", "eid": "2-s2.0-85186498362", "pii": null, "open_access_url": "https://doi.org/10.1109/aece59614.2023.10428514", "sources": [ { "db": "openalex", "stream": "UAV", "query_id": "UAV-1" }, { "db": "scopus", "stream": "UAV", "query_id": "UAV-1" } ], "streams": [ "UAV" ], "relevance_signals": [ "UAV" ], "auto_exclude_reason": null, "screening_status": "pending_human_screening", "screened_by": "auto-v1.0.0" }, { "id": "doi:10.1088/1742-6596/2523/1/012016", "doi": "10.1088/1742-6596/2523/1/012016", "title": "Automated Parcel Loading-Unloading Mechanism Design for Delivery UAV", "year": 2023, "authors": [ "Kwok Quan Eu", "Swee King Phang" ], "first_author": "Kwok Quan Eu", "venue": "Journal of Physics Conference Series", "volume": "2523", "pages": null, "type": "conference-paper", "language": "en", "abstract": "Abstract Unmanned Aerial Vehicle or UAV has evolved rapidly because of improved regulations and advancement in technology. During the COVID-19 pandemic, delivery UAVs were utilized more often than ever to deliver medical supplies, as well as parcels. Delivery UAVs work by collecting the goods and keeping it in a designated holder, which it then navigates through an area and dropping it off at the receiving point. The main factors that are considered for the design of a delivery UAV mechanism includes size and weight of parcels, security and the efficiency of loading and unloading parcels. The drop-box mechanism takes in the factors contributing to existing delivery UAV mechanisms and provides a solution that can overcome most of these concerns. The mechanism was designed through SOLIDWORKS software and 3D-printed. With the help of SOLIDWORKS, an analysis was performed, and it was concluded that the mechanism could handle a maximum of 2kg. Aside from that, the mechanism drops off parcels automatically and encourages contactless delivery.", "keywords": [ "Mechanism (biology)", "Drone", "Point (geometry)", "Software", "Computer science", "Delivery Performance", "Simulation", "Embedded system", "Engineering", "Operating system" ], "cited_by_openalex": 1, "cited_by_scopus": "2", "eid": "2-s2.0-85169583619", "pii": null, "open_access_url": "https://doi.org/10.1088/1742-6596/2523/1/012016", "sources": [ { "db": "openalex", "stream": "UAV", "query_id": "UAV-1" }, { "db": "scopus", "stream": "UAV", "query_id": "UAV-1" } ], "streams": [ "UAV" ], "relevance_signals": [ "UAV_NO_CTX" ], "auto_exclude_reason": "EC-4-topic", "screening_status": "auto_excluded", "screened_by": "auto-v1.0.0" }, { "id": "doi:10.1109/wf-iot58464.2023.10539595", "doi": "10.1109/wf-iot58464.2023.10539595", "title": "A Mobility-aware Flying Edge Computing Service Orchestration with Quality of Service Support", "year": 2023, "authors": [ "Hugo Santos", "Iago Medeiros", "Carlos Alberto Machado da Rocha", "Denis Lima do Rosário", "Eduardo Cerqueira", "Torsten Ingo Braun" ], "first_author": "Hugo Santos", "venue": "2023 IEEE World Forum on Internet of Things the Blue Planet A Marriage of Sea and Space Wf Iot 2023", "volume": null, "pages": null, "type": "conference-paper", "language": "en", "abstract": "Unmanned Aerial Vehicles (UAVs) will be part of last-mile 5G/6G networks and will support Internet of Things (IoT) and low latency services in Flying Edge Computing (FEC). UAVs will densely populate aerial space in smart cities, providing networking and computing to interactive and monitoring services to ground users. FEC is composed of one or a set of UAVs, can cover large areas, and assure the quick deployment of services in 5G/6G systems. FEC will cooperate or even replace edge computing services on the ground network in case of congestion/failure events. However, the efficient selection and orchestration of UAVs to provide Quality of Service (QoS) to mobile users on the ground space is still challenging. This paper proposes a mobility-aware FEC orchestration scheme, called FLYED. FLYED enables UAVs to provide FEC with mobility and QoS support on ground space. Simulation results show the impact and benefits of FLYED in providing QoS assurance compared to state-of-the-art algorithms.", "keywords": [ "Computer science", "Quality of service", "Edge computing", "Orchestration", "Computer network", "Software deployment", "Enhanced Data Rates for GSM Evolution", "Service (business)", "Distributed computing", "Telecommunications", "Operating system" ], "cited_by_openalex": 3, "cited_by_scopus": "2", "eid": "2-s2.0-85195411773", "pii": null, "open_access_url": "http://dx.doi.org/10.1109/wf-iot58464.2023.10539595", "sources": [ { "db": "openalex", "stream": "UAV", "query_id": "UAV-1" }, { "db": "scopus", "stream": "UAV", "query_id": "UAV-1" } ], "streams": [ "UAV" ], "relevance_signals": [ "UAV" ], "auto_exclude_reason": null, "screening_status": "pending_human_screening", "screened_by": "auto-v1.0.0" }, { "id": "doi:10.1109/ojcsys.2023.3340034", "doi": "10.1109/ojcsys.2023.3340034", "title": "A Computational Framework for Optimal Adaptive Function Allocation in a Human-Autonomy Teaming Scenario", "year": 2023, "authors": [ "Sooyung Byeon", "Joonwon Choi", "Inseok Hwang" ], "first_author": "Sooyung Byeon", "venue": "IEEE Open Journal of Control Systems", "volume": "3", "pages": "32-44", "type": "article", "language": "en", "abstract": "This paper proposes a quantitative framework for optimally allocating task functions in human-autonomy teaming (HAT). HAT involves cooperation between humans and autonomous agents to achieve common goals. As humans and autonomous agents possess different capabilities, function allocation plays a crucial role in ensuring effective HAT. However, designing the best adaptive function allocation remains a challenge, as existing methods often rely on qualitative rules and intensive human-subject studies. To address this limitation, we propose a computational function allocation approach that leverages cognitive engineering, computational work models, and optimization techniques. The proposed optimal adaptive function allocation method is composed of three main elements: 1) analyze the teamwork to identify a set of all possible function allocations within a team construction, 2) numerically simulate the teamwork in temporal semantics to explore the interaction of the team with complex environments using the identified function allocations in a trial-and-error manner, and 3) optimize the adaptive function allocation with respect to a given situation such as physical conditions, available information resources, and human mental workload. For the optimization, we utilize performance metrics such as task performance, human mental workload, and coherency in function allocations. To illustrate the effectiveness of the proposed framework, we present a simulated HAT scenario involving a human work model and drone fleet for last-mile delivery in disaster relief operations.", "keywords": [ "Computer science", "Workload", "Task (project management)", "Function (biology)", "Teamwork", "Set (abstract data type)", "Operations research", "Distributed computing", "Management science", "Systems engineering", "Engineering" ], "cited_by_openalex": 3, "cited_by_scopus": "2", "eid": "2-s2.0-85208514720", "pii": null, "open_access_url": "https://ieeexplore.ieee.org/ielx7/9552933/9712344/10345767.pdf", "sources": [ { "db": "openalex", "stream": "UAV", "query_id": "UAV-1" }, { "db": "scopus", "stream": "UAV", "query_id": "UAV-1" } ], "streams": [ "UAV" ], "relevance_signals": [ "UAV" ], "auto_exclude_reason": null, "screening_status": "pending_human_screening", "screened_by": "auto-v1.0.0" }, { "id": "doi:10.26650/jtl.2022.1226076", "doi": "10.26650/jtl.2022.1226076", "title": "Akıllı Şehir Lojistiği Kapsamında Akıllı Ulaşım Sistemleri (AUS) için Sistem Analizi", "year": 2023, "authors": [ "Aziz Cumhur KOCALAR" ], "first_author": "Aziz Cumhur KOCALAR", "venue": "Journal of Transportation and Logistics", "volume": null, "pages": null, "type": "article", "language": "tr", "abstract": "A complex problem in cities is traffic/road and cargo/vehicle density. Since trip computers provide very general information about the vehicle and the journey, it will be possible to make an instant travel flow plan and update the situation in an instant if this information can interact with the traffic/road, cargo/vehicle location data. However, the rate of interaction and depth of data between transportation systems is still unclear and consists of a limited one-way flow of information. This interaction ismore focused on obtaining information and (discontinuous) discrete time evaluating it with the human factor. But it is known that vehicles will start to be self-directed (autonomous) in the future, for example unmanned aerial vehicles (UAV). Through monitoring and planning, it is evident that these expectations will improve traffic/road, cargo/vehicle situation interaction, and management infrastructures more effectively. Within the context of smart city logistics, the technologies that prioritize situations of traffic/road, cargo/vehicle—or ITS interaction for short—are the subject of the study. From a relational and comprehensive perspective, it also assesses advancements in other smart solutions about traffic/road, cargo/vehicle, tracking, and/or planning. All these tracking and planning systems are supported by the ITS framework suggested in this study. The network latency issue will no longer exist because Industry 5.0 enables it to be disregarded.", "keywords": [ "Environmental science" ], "cited_by_openalex": 2, "cited_by_scopus": 0, "eid": null, "pii": null, "open_access_url": "https://doi.org/10.26650/jtl.2022.1226076", "sources": [ { "db": "openalex", "stream": "UAV", "query_id": "UAV-1" } ], "streams": [ "UAV" ], "relevance_signals": [ "UAV" ], "auto_exclude_reason": "EC-4", "screening_status": "auto_excluded", "screened_by": "auto-v1.0.0" }, { "id": "doi:10.48550/arxiv.2309.13417", "doi": "10.48550/arxiv.2309.13417", "title": "A Review on Practical Challenges of Aerial Quantum Communication", "year": 2023, "authors": [ "Dubey, Umang", "Prathamesh Bhole", "Dutta, Arindam", "Dibya Prakash Behera", "Vethonulu Losu", "Guru Satya Dattatreya Pandeeti", "Abhir Raj Metkar", "Anindita Banerjee", "Anirban Pathak" ], "first_author": "Dubey, Umang", "venue": "arXiv (Cornell University)", "volume": null, "pages": null, "type": "preprint", "language": "en", "abstract": "The increasing demand for the realization of global-scale quantum communication services necessitates critical investigation for a practical quantum secure communication network that relies on full-time all-location coverage. In this direction, the non-terrestrial quantum key distribution is expected to play an important role in providing agility, maneuverability, relay link, on-demand network, and last-mile coverage. In this work, we have summarized the research and development that has happened until now in the domain of quantum communication using non-terrestrial platforms with a specific focus on the associated challenges and the relevant models. Further, to extend the analysis beyond the existing know-how, a hybrid model involving the features of Vasylyev et al. model and Liorni et al. model is introduced here. The hybrid model entails us adapting a spherical beam to an elliptic beam approximation and effectively capturing the characteristics of transmittance in densely humid weather conditions and at low altitudes. Further, to understand the potential impact of the weather conditions of a region on atmospheric attenuation, as an example the average monthly visibility of Pune city was analyzed for the years 2021 and 2022. In addition, a simulation of a generic model is performed using a software-defined network paradigm where quantum teleportation is simulated between distant parties using a swarm of drones in NetSquid.", "keywords": [ "Computer science", "Quantum information science", "Quantum", "Provisioning", "Realization (probability)", "Focus (optics)", "Telecommunications", "Distributed computing", "Quantum entanglement", "Physics", "Mathematics" ], "cited_by_openalex": 2, "cited_by_scopus": 0, "eid": null, "pii": null, "open_access_url": "https://arxiv.org/pdf/2309.13417", "sources": [ { "db": "openalex", "stream": "UAV", "query_id": "UAV-1" } ], "streams": [ "UAV" ], "relevance_signals": [ "UAV" ], "auto_exclude_reason": null, "screening_status": "pending_human_screening", "screened_by": "auto-v1.0.0" }, { "id": "doi:10.1109/iccams60113.2023.10525815", "doi": "10.1109/iccams60113.2023.10525815", "title": "A Secure Trust Model for Hybrid FANET Including Flying and Stationary Nodes", "year": 2023, "authors": [ "Jerrin Joe Francis", "Murali Parmeswaran" ], "first_author": "Jerrin Joe Francis", "venue": "2023 International Conference on New Frontiers in Communication Automation Management and Security Iccams 2023", "volume": null, "pages": null, "type": "conference-paper", "language": "en", "abstract": "FANETs (Flying Ad-hoc networks) ARE a type of ad-hoc networks that involve drones communicating with each other and forming a network. Such a network has multiple applications like providing last mile connectivity when there are not enough nodes, where nodes are too far apart, or terrain causes signals to be obstructed. Also, they can be used in areas where a natural disaster has destroyed network infrastructure to provide connectivity. A major issue identified in such networks is related to the trust of the FANET nodes. As these networks are highly dynamic, the chances of malicious nodes entering the network are high. Due to hardware, quality of service and other limitations, trust models developed for traditional wired/wireless networks are found to be inappropriate. In this paper, we describe a trust model that meets the constraints of FANET. A blockchain ledger is proposed for trust propagation of existing nodes.", "keywords": [ "Computer science", "Computer network", "Wireless ad hoc network", "Wireless network", "Quality of service", "Drone", "Terrain", "Wireless", "Mobile ad hoc network", "Distributed computing", "Network packet", "Telecommunications" ], "cited_by_openalex": 1, "cited_by_scopus": "2", "eid": "2-s2.0-85194167049", "pii": null, "open_access_url": "http://dx.doi.org/10.1109/iccams60113.2023.10525815", "sources": [ { "db": "openalex", "stream": "UAV", "query_id": "UAV-1" }, { "db": "scopus", "stream": "UAV", "query_id": "UAV-1" } ], "streams": [ "UAV" ], "relevance_signals": [ "UAV" ], "auto_exclude_reason": null, "screening_status": "pending_human_screening", "screened_by": "auto-v1.0.0" }, { "id": "doi:10.1016/j.dib.2023.109296", "doi": "10.1016/j.dib.2023.109296", "title": "Dataset for the cumulative unmanned aerial vehicle routing problem", "year": 2023, "authors": [ "Nikolaos A. Kyriakakis", "Themistoklis Stamadianos", "Magdalene Marinaki", "Yannis Marinakis" ], "first_author": "Nikolaos A. Kyriakakis", "venue": "Data in Brief", "volume": "48", "pages": null, "type": "data-paper", "language": "en", "abstract": "The Cumulative Unmanned Aerial Vehicle Routing Problem applies to area covering operations using UAVs. It is defined on a graph, the nodes of which, ensure the complete coverage of the underlying area of interest. The data generation process takes into account the characteristics of such operations, in particular, the viewing window of the UAVs' sensor, their maximum range, the size of the UAV fleet and the unknown locations of the targets within the area of interest. Instances are created simulating different scenarios, using different values for those UAV characteristics, as well as the different locations where the search targets might be positioned in the area of interest.", "keywords": [ "Computer science", "Range (aeronautics)", "Routing (electronic design automation)", "Point of interest", "Graph", "Process (computing)", "Vehicle routing problem", "Window (computing)", "Real-time computing", "Artificial intelligence", "Computer network", "Engineering" ], "cited_by_openalex": 3, "cited_by_scopus": "2", "eid": "2-s2.0-85161283231", "pii": "S2352340923004158", "open_access_url": "https://doi.org/10.1016/j.dib.2023.109296", "sources": [ { "db": "openalex", "stream": "UAV", "query_id": "UAV-2" }, { "db": "scopus", "stream": "UAV", "query_id": "UAV-2" } ], "streams": [ "UAV" ], "relevance_signals": [ "UAV_NO_CTX" ], "auto_exclude_reason": "EC-4-topic", "screening_status": "auto_excluded", "screened_by": "auto-v1.0.0" }, { "id": "doi:10.1007/978-3-031-43612-3_17", "doi": "10.1007/978-3-031-43612-3_17", "title": "The Heterogeneous Fleet Risk-Constrained Vehicle Routing Problem in Humanitarian Logistics", "year": 2023, "authors": [ "Robert van Steenbergen", "Eduardo Lalla‐Ruiz", "Wouter van Heeswijk", "Martijn Mes" ], "first_author": "Robert van Steenbergen", "venue": "Lecture notes in computer science", "volume": null, "pages": null, "type": "conference-paper", "language": "en", "abstract": null, "keywords": [ "Truck", "Vehicle routing problem", "Computer science", "Heuristic", "Routing (electronic design automation)", "Operations research", "Transportation theory", "Transport engineering", "Risk analysis (engineering)", "Business", "Mathematical optimization", "Engineering" ], "cited_by_openalex": 2, "cited_by_scopus": 0, "eid": null, "pii": null, "open_access_url": "https://ris.utwente.nl/ws/files/320201482/978-3-031-43612-3_17.pdf", "sources": [ { "db": "openalex", "stream": "UAV", "query_id": "UAV-2" } ], "streams": [ "UAV" ], "relevance_signals": [ "TRUCK_NO_CTX" ], "auto_exclude_reason": "EC-4-topic", "screening_status": "auto_excluded", "screened_by": "auto-v1.0.0" }, { "id": "doi:10.46254/ap03.20220518", "doi": "10.46254/ap03.20220518", "title": "A Comparison of Ant Colony Optimization and Depth First Search for Solving Unmanned Aerial Vehicle – Ground Vehicle Routing Problem in Humanitarian Logistics", "year": 2023, "authors": [ "Alfredo Aryasena", "Bertha Maya Sopha" ], "first_author": "Alfredo Aryasena", "venue": null, "volume": null, "pages": null, "type": "conference-paper", "language": "en", "abstract": "Time is of the essence in disaster relief operation.The casualties might be huge if disaster relief operation can't be done quickly.The broken infrastructure and post-disaster environment make it difficult to search for survivors.To solve this, Unmanned Aerial Vehicle (UAV) is deployed since UAV can survey the location easily from the air.One downside of UAV is its limited energy capacity.UAV needs to be deployed with a Ground Vehicle (GV) who charges or swaps UAV battery during the operation.As such, the coordination between UAV and GV becomes an important part in the operation.This research focuses on constructing a route for the UAV -GV to find survivors using Ant Colony Optimization (ACO).The studied case is the 2010 Merapi eruption, which is one of the volcano eruptions in Indonesia.The result of this research will be compared with the result from previous research that used Depth-First Search (DFS).The route from ACO needs 90.48 minutes to complete whereas the route from previous research needs 95.48 minutes, implying that the route evaluated using ACO results in 5 minutes faster than that constructed using DFS.", "keywords": [ "Ant colony optimization algorithms", "Vehicle routing problem", "Routing (electronic design automation)", "Computer science", "Unmanned ground vehicle", "ANT", "Artificial intelligence", "Computer network" ], "cited_by_openalex": 2, "cited_by_scopus": 0, "eid": null, "pii": null, "open_access_url": "http://ieomsociety.org/proceedings/2022malaysia/518.pdf", "sources": [ { "db": "openalex", "stream": "UAV", "query_id": "UAV-2" } ], "streams": [ "UAV" ], "relevance_signals": [ "UAV_NO_CTX" ], "auto_exclude_reason": "EC-4-topic", "screening_status": "auto_excluded", "screened_by": "auto-v1.0.0" }, { "id": "doi:10.48550/arxiv.2309.03397", "doi": "10.48550/arxiv.2309.03397", "title": "Cooperative Multi-Agent Planning Framework for Fuel Constrained UAV-UGV Routing Problem", "year": 2023, "authors": [ "Md Safwan Mondal", "R. Subramanian", "James D. Humann", "Jean-Paul Reddinger", "James M. Dotterweich", "Marshal Childers", "Pranav A. Bhounsule" ], "first_author": "Md Safwan Mondal", "venue": "arXiv (Cornell University)", "volume": null, "pages": null, "type": "preprint", "language": "en", "abstract": "Unmanned Aerial Vehicles (UAVs), although adept at aerial surveillance, are often constrained by limited battery capacity. By refueling on slow-moving Unmanned Ground Vehicles (UGVs), their operational endurance can be significantly enhanced. This paper explores the computationally complex problem of cooperative UAV-UGV routing for vast area surveillance within the speed and fuel constraints, presenting a sequential multi-agent planning framework for achieving feasible and optimally satisfactory solutions. By considering the UAV fuel limits and utilizing a minimum set cover algorithm, we determine UGV refueling stops, which in turn facilitate UGV route planning at the first step and through a task allocation technique and energy constrained vehicle routing problem modeling with time windows (E-VRPTW) we achieve the UAV route at the second step of the framework. The effectiveness of our multi-agent strategy is demonstrated through the implementation on 30 different task scenarios across 3 different scales. This work offers significant insight into the collaborative advantages of UAV-UGV systems and introduces heuristic approaches to bypass computational challenges and swiftly reach high-quality solutions.", "keywords": [ "Task (project management)", "Computer science", "Unmanned ground vehicle", "Heuristic", "Routing (electronic design automation)", "Vehicle routing problem", "Set (abstract data type)", "Distributed computing", "Real-time computing", "Artificial intelligence", "Engineering", "Systems engineering" ], "cited_by_openalex": 2, "cited_by_scopus": 0, "eid": null, "pii": null, "open_access_url": "https://arxiv.org/pdf/2309.03397", "sources": [ { "db": "openalex", "stream": "UAV", "query_id": "UAV-2" } ], "streams": [ "UAV" ], "relevance_signals": [ "UAV_NO_CTX" ], "auto_exclude_reason": "EC-4-topic", "screening_status": "auto_excluded", "screened_by": "auto-v1.0.0" }, { "id": "doi:10.1109/access.2023.3335932", "doi": "10.1109/access.2023.3335932", "title": "Total Energy Cost Optimization for Data Collection With Boat-Assisted Drone: A Study on Large-Scale Marine Sensor", "year": 2023, "authors": [ "Xianfei Huang", "Gaocai Wang" ], "first_author": "Xianfei Huang", "venue": "IEEE Access", "volume": "11", "pages": "134473-134484", "type": "article", "language": "en", "abstract": "To handle ocean health problems associated with human activities (wind turbine deployment, nuclear wastewater discharge, etc.), collecting broad ocean region data to leverage large-scale sensors is a valid method. When using the novel collection scheme, reducing the total energy consumption (TEC) of boat-assisted drones to collect sensor data is challenging. The objective of this study was to minimize the TEC of boats and drones (owing to the limited battery capacity) during marine environment sensor data collection. To achieve this, new models for drone hovering in wind, data collection, and related wireless communication have been developed, and the TEC minimization problem has been formulated as a new specialized distance-constrained capacitated vehicle routing problem. The problem is divided into four sub-problems to reduce complexity. Based on these four subproblems, an improved heuristic algorithm is proposed. In the algorithm, the drone hovering position and boat waypoint are found using the K-means clustering algorithm and the smallest enclosing circle algorithm. Based on the position and waypoint, the routes of drones and boats are optimized using the Lin-Kernighan heuristic 3 algorithm, thus minimizing the TEC. The simulation results demonstrate that when the boat waypoint is 3 and the sensor number is 2000, owing to the strong local and global search ability, the TEC in the scheme is 0.03×108J less than that of the graph attention neural network method (GANN), while the scheme also provides time saving, scalability, and flexibility.", "keywords": [ "Waypoint", "Drone", "Computer science", "Real-time computing", "Wireless sensor network", "TEC", "Data collection", "Cluster analysis", "Algorithm", "Simulation", "Artificial intelligence", "Mathematics" ], "cited_by_openalex": 2, "cited_by_scopus": "2", "eid": "2-s2.0-85178001042", "pii": null, "open_access_url": "https://ieeexplore.ieee.org/ielx7/6287639/6514899/10327706.pdf", "sources": [ { "db": "openalex", "stream": "UAV", "query_id": "UAV-2" }, { "db": "scopus", "stream": "UAV", "query_id": "UAV-2" } ], "streams": [ "UAV" ], "relevance_signals": [ "UAV_NO_CTX" ], "auto_exclude_reason": "EC-4-topic", "screening_status": "auto_excluded", "screened_by": "auto-v1.0.0" }, { "id": "doi:10.35784/acs-2023-36", "doi": "10.35784/acs-2023-36", "title": "IDENTIFYING THE POTENTIAL OF UNMANNED AERIAL VEHICLE ROUTING FOR BLOOD DISTRIBUTION IN EMERGENCY REQUESTS", "year": 2023, "authors": [ "Janani DEWMINI", "W. Madushan Fernando", "Izabela Ewa Nielsen", "Grzegorz Bocewicz", "Amila Thibbotuwawa", "Zbigniew Antoni Banaszak" ], "first_author": "Janani DEWMINI", "venue": "Applied Computer Science", "volume": "19", "pages": "68-87", "type": "article", "language": "en", "abstract": "This study is focusing on identifying the potential of Unmanned Aerial Vehicle (UAV) routing for blood distribution in emergency requests in Sri Lanka compared to existing transportation modes. Capacitated Unmanned Aerial Vehicle Routing Problem was used as the methodology to find the optimal distribution plan between blood banks directing emergency requests. The developed UAV routing model was tested for different instances to compare the results. Finally, the proposed distribution process via UAVs was compared with the current distribution process for the objective function set up in the model and other Key Performance Indicators (KPIs) including energy consumption savings and operational cost savings. The average percentage of distribution time re-duction, energy consumption cost reduction, and operational cost per day reduction utilizing UAVs were determined to be 58.57%, 96.35%, and 61.20%, respectively, for the instances tested using the model highlighting the potential of UAVs. Therefore, the deficiencies in Sri Lanka's present blood delivery system can be addressed using UAVs' potential for time, cost, and energy savings. The ability to save time through the deployment of UAVs to the fleet during emergency situations plays a crucial role in preventing the loss of human lives.", "keywords": [ "Computer science", "Vehicle routing problem", "Routing (electronic design automation)", "Distribution (mathematics)", "Computer network", "Aeronautics", "Real-time computing", "Operations research" ], "cited_by_openalex": 2, "cited_by_scopus": "2", "eid": "2-s2.0-85185303249", "pii": null, "open_access_url": "https://ph.pollub.pl/index.php/acs/article/download/5475/4323", "sources": [ { "db": "openalex", "stream": "UAV", "query_id": "UAV-2" }, { "db": "scopus", "stream": "UAV", "query_id": "UAV-2" } ], "streams": [ "UAV" ], "relevance_signals": [ "UAV_NO_CTX" ], "auto_exclude_reason": "EC-4-topic", "screening_status": "auto_excluded", "screened_by": "auto-v1.0.0" }, { "id": "doi:10.1109/icoin56518.2023.10048936", "doi": "10.1109/icoin56518.2023.10048936", "title": "A Collaborative UAV Routing Algorithm for Time Sensitive Surveillance Tasks", "year": 2023, "authors": [ "Yang Yu", "Sanghwan Lee" ], "first_author": "Yang Yu", "venue": "International Conference on Information Networking", "volume": "2023-January", "pages": "457-460", "type": "conference-paper", "language": "en", "abstract": "Surveillance and monitoring of an area are fundamental to a variety of missions, especially in the military field, where quadrotor UAV swarms can be used for area reconnaissance to build awareness of the environment and targets of interest. Aiming at the problem of surveillance and monitoring of a given area, this paper proposes a distributed cooperative vehicle routing algorithm for multi-quadrotor UAV swarms called MUCS-BS. In order to reduce the complexity of the algorithm, we use sweep search to search the area with a \"square wave signal\" path. In this algorithm, each UAV covers a segment of the \"square wave signal\" path in such a way that the surveillance time can be minimized.", "keywords": [ "Computer science", "Routing (electronic design automation)", "Search and rescue", "Real-time computing", "Path (computing)", "Routing algorithm", "Field (mathematics)", "Variety (cybernetics)", "Square (algebra)", "SIGNAL (programming language)", "Algorithm", "Computer network" ], "cited_by_openalex": 2, "cited_by_scopus": "2", "eid": "2-s2.0-85149174690", "pii": null, "open_access_url": "http://dx.doi.org/10.1109/icoin56518.2023.10048936", "sources": [ { "db": "openalex", "stream": "UAV", "query_id": "UAV-2" }, { "db": "scopus", "stream": "UAV", "query_id": "UAV-2" } ], "streams": [ "UAV" ], "relevance_signals": [ "UAV_NO_CTX" ], "auto_exclude_reason": "EC-4-topic", "screening_status": "auto_excluded", "screened_by": "auto-v1.0.0" }, { "id": "doi:10.48550/arxiv.2302.13552", "doi": "10.48550/arxiv.2302.13552", "title": "Dispatching Point Selection for a Drone-Based Delivery System Operating in a Mixed Euclidean-Manhattan Grid", "year": 2023, "authors": [ "Francesco Betti Sorbelli", "Federico Corò", "Sajal Kumar Das", "Cristina Maria Pinotti", "Anil M. Shende" ], "first_author": "Francesco Betti Sorbelli", "venue": "arXiv (Cornell University)", "volume": null, "pages": null, "type": "preprint", "language": "en", "abstract": "In this paper, we present a drone-based delivery system that assumes to deal with two different mixed-areas, i.e., rural and urban. In these mixed-areas, called EM-grids, the distances are measured with two different metrics, and the shortest path between two destinations concatenates the Euclidean and Manhattan metrics. Due to payload constraints, the drone serves a single customer at a time returning back to the dispatching point (DP) after each delivery to load a new parcel for the next customer. In this paper, we present the 1-Median Euclidean-Manhattan grid Problem (MEMP) for EM-grids, whose goal is to determine the drone's DP position that minimizes the sum of the distances between all the locations to be served and the point itself. We study the MEMP on two different scenarios, i.e., one in which all the customers in the area need to be served (full-grid) and another one where only a subset of these must be served (partial-grid). For the full-grid scenario we devise optimal, approximation, and heuristic algorithms, while for the partial-grid scenario we devise optimal and heuristic algorithms. Eventually, we comprehensively evaluate our algorithms on generated synthetic and quasi-real data.", "keywords": [ "Drone", "Grid", "Computer science", "Heuristic", "Shortest path problem", "Euclidean geometry", "Mathematical optimization", "Point (geometry)", "Euclidean distance", "Payload (computing)", "Path (computing)", "Real-time computing" ], "cited_by_openalex": 2, "cited_by_scopus": 0, "eid": null, "pii": null, "open_access_url": "https://arxiv.org/pdf/2302.13552", "sources": [ { "db": "openalex", "stream": "UAV", "query_id": "UAV-3" } ], "streams": [ "UAV" ], "relevance_signals": [ "UAV_NO_CTX" ], "auto_exclude_reason": "EC-4-topic", "screening_status": "auto_excluded", "screened_by": "auto-v1.0.0" }, { "id": "doi:10.2139/ssrn.4385974", "doi": "10.2139/ssrn.4385974", "title": "A Hierarchical Optimization Method (Home) for Vertiport Siting", "year": 2023, "authors": [ "Mingyi He", "Bingrong Sun", "Zhaocai Liu", "Venu M. Garikapati", "Qichao Wang", "Yanbo Ge", "Joshua Hoshiko" ], "first_author": "Mingyi He", "venue": "SSRN Electronic Journal", "volume": null, "pages": null, "type": "preprint", "language": "en", "abstract": null, "keywords": [ "Heuristic", "Mathematical optimization", "Computer science", "Integer programming", "Workflow", "Genetic algorithm", "Set (abstract data type)", "Operations research", "Linear programming", "Integer (computer science)", "Engineering", "Mathematics" ], "cited_by_openalex": 2, "cited_by_scopus": 0, "eid": null, "pii": null, "open_access_url": "https://doi.org/10.2139/ssrn.4385974", "sources": [ { "db": "openalex", "stream": "UAV", "query_id": "UAV-3" } ], "streams": [ "UAV" ], "relevance_signals": [ "UAV_NO_CTX" ], "auto_exclude_reason": "EC-4-topic", "screening_status": "auto_excluded", "screened_by": "auto-v1.0.0" }, { "id": "doi:10.4108/eai.2-12-2022.2327966", "doi": "10.4108/eai.2-12-2022.2327966", "title": "Initial Research on The Vertiport for The Urban Air Mobility", "year": 2023, "authors": [ "Jinfeng Li", "Rui Yang", "Chenglong Li", "Yunfan Zhou", "Longyang Huang" ], "first_author": "Jinfeng Li", "venue": null, "volume": null, "pages": null, "type": "conference-paper", "language": "en", "abstract": "The eVTOL (electricic Vertical Take-off and Landing) aircraft provides an important guarantee for the realization of the UAM (Urban Air Mobility) system. The reasonable setting and construction of the eVTOL ground infrastructure usually play important roles to operate UAM system safely, efficiently", "keywords": [ "Realization (probability)", "Computer science", "Aerospace engineering", "Transport engineering", "Environmental science", "Meteorology", "Aeronautics", "Engineering", "Geography" ], "cited_by_openalex": 2, "cited_by_scopus": 0, "eid": null, "pii": null, "open_access_url": "http://eudl.eu/pdf/10.4108/eai.2-12-2022.2327966", "sources": [ { "db": "openalex", "stream": "UAV", "query_id": "UAV-3" } ], "streams": [ "UAV" ], "relevance_signals": [ "UAV_NO_CTX" ], "auto_exclude_reason": "EC-4-topic", "screening_status": "auto_excluded", "screened_by": "auto-v1.0.0" }, { "id": "doi:10.1109/dasc58513.2023.10311212", "doi": "10.1109/dasc58513.2023.10311212", "title": "Radar-visual navigation for all-weather approach and landing to vertiports", "year": 2023, "authors": [ "Paolo Veneruso", "Enrico Miccio", "Flavia Causa", "Roberto Opromolla", "Giancarmine Fasano", "Luca Manica", "Giacomo Gentile", "Carlo Tiana" ], "first_author": "Paolo Veneruso", "venue": null, "volume": null, "pages": null, "type": "conference-paper", "language": "en", "abstract": "This paper presents an onboard multi-sensor navigation architecture to support approach and landing of rotorcraft in Urban Air Mobility scenarios. The proposed solution integrates an inertial measurement unit, a GNSS receiver, two cameras and a radar within an Extended Kalman Filter-based fusion framework. The integration of radar within the onboard architecture allows the system to operate in challenging visibility/illumination conditions, while also providing redundancy, and thus enhanced integrity, when the cameras are operating in nominal mode. Minimum requirements of the radar system are defined based on the constraints on the approach trajectory and ground infrastructure recently defined by the regulations. Then, the navigation architecture is detailed and its performance is evaluated through different simulations varying factors such as the cameras operation range and the number of ground scatterers exploited by the radar.", "keywords": [ "Computer science", "Man-portable radar", "Radar engineering details", "Real-time computing", "Radar", "GNSS applications", "Inertial navigation system", "Radar lock-on", "Redundancy (engineering)", "3D radar", "GNSS augmentation", "Visibility" ], "cited_by_openalex": 2, "cited_by_scopus": 0, "eid": null, "pii": null, "open_access_url": "https://doi.org/10.1109/dasc58513.2023.10311212", "sources": [ { "db": "openalex", "stream": "UAV", "query_id": "UAV-3" } ], "streams": [ "UAV" ], "relevance_signals": [ "UAV_NO_CTX" ], "auto_exclude_reason": "EC-4-topic", "screening_status": "auto_excluded", "screened_by": "auto-v1.0.0" }, { "id": "doi:10.48550/arxiv.2307.03558", "doi": "10.48550/arxiv.2307.03558", "title": "We, Vertiport 6, are temporarily closed: Interactional Ontological Methods for Changing the Destination", "year": 2023, "authors": [ "Seungwan Woo", "Jeongseok Kim", "Kangjin Kim" ], "first_author": "Seungwan Woo", "venue": "arXiv (Cornell University)", "volume": null, "pages": null, "type": "preprint", "language": "en", "abstract": "This paper presents a continuation of the previous research on the interaction between a human traffic manager and the UATMS. In particular, we focus on the automation of the process of handling a vertiport outage, which was partially covered in the previous work. Once the manager reports that a vertiport is out of service, which means landings for all corresponding agents are prohibited, the air traffic system automates what it has to handle for this event. The entire process is simulated through knowledge representation and reasoning. Moreover, two distinct perspectives are respected for the human supervisor and the management system, and the related ontologies and rules address their interactions. We believe that applying non-monotonic reasoning can verify each step of the process and explain how the system works. After a short introduction with related works, this paper continues with problem formulation, primary solution, discussion, and conclusions.", "keywords": [ "Supervisor", "Focus (optics)", "Computer science", "Process (computing)", "Representation (politics)", "Automation", "Service (business)", "Continuation", "Event (particle physics)", "Air traffic control", "Knowledge management", "Knowledge representation and reasoning" ], "cited_by_openalex": 2, "cited_by_scopus": 0, "eid": null, "pii": null, "open_access_url": "https://arxiv.org/pdf/2307.03558", "sources": [ { "db": "openalex", "stream": "UAV", "query_id": "UAV-3" } ], "streams": [ "UAV" ], "relevance_signals": [ "UAV_NO_CTX" ], "auto_exclude_reason": "EC-4-topic", "screening_status": "auto_excluded", "screened_by": "auto-v1.0.0" }, { "id": "doi:10.31979/mti.2023.2122", "doi": "10.31979/mti.2023.2122", "title": "Land Use Analysis on Vertiports Based on a Case Study of the San Francisco Bay Area", "year": 2023, "authors": [ "Wenbin Wei", "Kerry Rohrmeier", "Tiffany Martinez", "Michael Winans", "Heungseok Park" ], "first_author": "Wenbin Wei", "venue": null, "volume": null, "pages": null, "type": "report", "language": "en", "abstract": "Vertiport research and development trails in the emerging commercial air taxi sector known as Advanced Air Mobility (AAM). Published scholarship remains limited as federal, state, and local governments have yet to create or implement policies for the rapidly progressing larger AAM ecosystem, which is designed around autonomous electric vehicle takeoff and landing aircraft. With the potential for frequent low altitude flights, long-range planning must demonstrate awareness, knowledge, and utilization of geographic information science to select safe and just vertiport locations. This study summarizes the AAM literature and offers planners a set of stakeholder-informed parameters to use in a no-cost preliminary GIS analysis when applied to urban, suburban, and exurban site suitability models. Parameters for this case study were identified under the considerations of safety, access, and equity for vertiport placement and given a high, medium, or low priority level to determine site suitability. The goals of this study are to establish a framework for the systematic approach to vertiport site selection and to provide recommendations for how a region might plan its AAM network, regulations, or best practices. The approach established by this framework would ensure general consistency in AAM land use planning for a region while remaining flexible enough to allow for other considerations that may differ between regions, such as local zoning or state regulations. The study also highlights the importance of integrating a focus on land use planning when implementing AAM, especially as it relates to a case study of the San Francisco Bay Area.", "keywords": [ "Zoning", "Stakeholder", "Land use", "Environmental planning", "Land-use planning", "Environmental resource management", "Plan (archaeology)", "Geography", "Transport engineering", "Computer science", "Environmental science", "Civil engineering" ], "cited_by_openalex": 2, "cited_by_scopus": 0, "eid": null, "pii": null, "open_access_url": "https://scholarworks.sjsu.edu/cgi/viewcontent.cgi?article=1448&context=mti_publications", "sources": [ { "db": "openalex", "stream": "UAV", "query_id": "UAV-3" } ], "streams": [ "UAV" ], "relevance_signals": [ "UAV_NO_CTX" ], "auto_exclude_reason": "EC-4-topic", "screening_status": "auto_excluded", "screened_by": "auto-v1.0.0" }, { "id": "doi:10.2514/6.2023-0297", "doi": "10.2514/6.2023-0297", "title": "VTOL Trajectory Coordination Around Vertiports with Collision Avoidance", "year": 2023, "authors": [ "Marc Welsch", "Walter Fichter" ], "first_author": "Marc Welsch", "venue": "AIAA SCITECH 2023 Forum", "volume": null, "pages": null, "type": "conference-paper", "language": "en", "abstract": "View Video Presentation: https://doi.org/10.2514/6.2023-0297.vid In the vicinity of vertiports a high volume of traffic can be expected from both cooperative vehicles that are approaching or departing but also from uncooperative intruders due to the vertiport’s location in the low-level airspace. Therefore, coordination of the trajectories of all relevant vehicles is of utmost importance in order to resolve conflicts and avoid collisions. This work presents an algorithm that builds upon pre-planned trajectories for each individual vehicle, identifies potential conflicts, and if required resolves the conflicts through modification of the trajectories while utilizing the degrees of freedom appropriate for the individual vehicles. It can be shown that the presented algorithm is able to reach a coordination of conflicting trajectories with sufficiently good performance.", "keywords": [ "Trajectory", "Collision avoidance", "Computer science", "Work (physics)", "Collision", "Traffic conflict", "Order (exchange)", "Volume (thermodynamics)", "Air traffic control", "Control theory (sociology)", "Control (management)", "Computer security" ], "cited_by_openalex": 1, "cited_by_scopus": "2", "eid": "2-s2.0-85200136876", "pii": null, "open_access_url": "http://dx.doi.org/10.2514/6.2023-0297", "sources": [ { "db": "openalex", "stream": "UAV", "query_id": "UAV-3" }, { "db": "scopus", "stream": "UAV", "query_id": "UAV-3" } ], "streams": [ "UAV" ], "relevance_signals": [ "UAV_NO_CTX" ], "auto_exclude_reason": "EC-4-topic", "screening_status": "auto_excluded", "screened_by": "auto-v1.0.0" }, { "id": "doi:10.48550/arxiv.2312.02505", "doi": "10.48550/arxiv.2312.02505", "title": "Evaluating eVTOL Network Performance and Fleet Dynamics through Simulation-Based Analysis", "year": 2023, "authors": [ "Emin Burak Onat", "Vishwanath Bulusu", "Anjan Chakrabarty", "Mark M. Hansen", "Raja Sengupta", "Banavar Sridar" ], "first_author": "Emin Burak Onat", "venue": "arXiv (Cornell University)", "volume": null, "pages": null, "type": "preprint", "language": "en", "abstract": "Urban Air Mobility (UAM) represents a promising solution for future transportation. In this study, we introduce VertiSim, an advanced event-driven simulator developed to evaluate e-VTOL transportation networks. Uniquely, VertiSim simultaneously models passenger, aircraft, and energy flows, reflecting the interrelated complexities of UAM systems. We utilized VertiSim to assess 19 operational scenarios serving a daily demand for 2,834 passengers with varying fleet sizes and vertiport distances. The study aims to support stakeholders in making informed decisions about fleet size, network design, and infrastructure development by understanding tradeoffs in passenger delay time, operational costs, and fleet utilization. Our simulations, guided by a heuristic dispatch and charge policy, indicate that fleet size significantly influences passenger delay and energy consumption within UAM networks. We find that increasing the fleet size can reduce average passenger delays, but this comes at the cost of higher operational expenses due to an increase in the number of repositioning flights. Additionally, our analysis highlights how vertiport distances impact fleet utilization: longer distances result in reduced total idle time and increased cruise and charge times, leading to more efficient fleet utilization but also longer passenger delays. These findings are important for UAM network planning, especially in balancing fleet size with vertiport capacity and operational costs. Simulator demo is available at: https://tinyurl.com/vertisim-vis", "keywords": [ "Cruise", "Transport engineering", "Energy consumption", "Idle", "Computer science", "Fleet management", "Operations research", "Heuristic", "Simulation", "Engineering" ], "cited_by_openalex": 2, "cited_by_scopus": 0, "eid": null, "pii": null, "open_access_url": "https://arxiv.org/pdf/2312.02505", "sources": [ { "db": "openalex", "stream": "UAV", "query_id": "UAV-3" } ], "streams": [ "UAV" ], "relevance_signals": [ "UAV_NO_CTX" ], "auto_exclude_reason": "EC-4-topic", "screening_status": "auto_excluded", "screened_by": "auto-v1.0.0" }, { "id": "doi:10.2514/6.2023-3408", "doi": "10.2514/6.2023-3408", "title": "Missed Approach Procedures in Advanced Air Mobility: Conceptual Exploration", "year": 2023, "authors": [ "Jeffrey R. Homola", "Aman Tripathi", "Jeremy Garber", "Lettitia Clark", "Torrie Meliska", "Louis J. Glaab" ], "first_author": "Jeffrey R. Homola", "venue": "AIAA Aviation and Aeronautics Forum and Exposition AIAA Aviation Forum 2023", "volume": null, "pages": null, "type": "conference-paper", "language": "en", "abstract": "View Video Presentation: https://doi.org/10.2514/6.2023-3408.vid The High Density Vertiplex Sub-Project, as part of NASA’s Advanced Air Mobility (AAM) Project, has been in collaboration with a team from Wisk Aero focusing on vertiport operations, procedures, and concept development. A particular area of focus has been on the development of missed approach scenarios and procedures that highlight the potential changes in the nearer- and further-term operational time frames. Such changes relate to topic areas such as airspace design, automation and autonomy, roles and responsibilities of actors and stakeholders, airspace management services and systems, as well as technologies specific to vertiport operations management. This paper presents the current state of joint concept development through the established collaboration and the application of elements in ongoing testing as part of NASA’s High Density Vertiplex Sub-Project’s research strategy.", "keywords": [ "Computer science", "Systems engineering", "Automation", "Project management", "Focus (optics)", "Process management", "Engineering management", "Engineering" ], "cited_by_openalex": 1, "cited_by_scopus": "2", "eid": "2-s2.0-85192165574", "pii": null, "open_access_url": "https://doi.org/10.2514/6.2023-3408", "sources": [ { "db": "openalex", "stream": "UAV", "query_id": "UAV-3" }, { "db": "scopus", "stream": "UAV", "query_id": "UAV-3" } ], "streams": [ "UAV" ], "relevance_signals": [ "UAV_NO_CTX" ], "auto_exclude_reason": "EC-4-topic", "screening_status": "auto_excluded", "screened_by": "auto-v1.0.0" }, { "id": "doi:10.2514/6.2023-3899", "doi": "10.2514/6.2023-3899", "title": "Modular Open Architecture UAS Test Platform System of Systems", "year": 2023, "authors": [ "Jason T. White" ], "first_author": "Jason T. White", "venue": null, "volume": null, "pages": null, "type": "conference-paper", "language": "en", "abstract": "View Video Presentation: https://doi.org/10.2514/6.2023-3899.vid Galaxy’s Constellation Concept Macro-/Micro- Swarming solution combines critical capabilities into an ad-hoc mesh network of unmanned systems working collaboratively and autonomously to self-identify/orient/navigate/execute tasking according to a cloud-based collecting of actionable objectives. The multi-tiered swarming capability uses airships as a network of “motherships” for deploying interchangeable group 1-2 drone swarms logically scaling into various types of large platforms deploying smaller platforms. Task coordination is reinforced with AI/ML processes. Over time, the system learns via backend ongoing trend analysis and aggregated user/command/op-briefing feedback and begins automating objectives/resourcing. This same process is employed for cargo/munitions delivery resource loading, wide-area distribution/staging optimization, and detection of people/equipment/vehicles/objects of interest. Acquired sensing data is arrayed atop 3D area maps (generated from sensors mixed with data repositories) for real-time terrain recognition and location triangulation to provide assured position, navigation, and timing of asset coordination. In the military, through persistent deployment and rotation of carrier airships and tactical drones, a dynamic mesh network is sustained as a C2 and C4ISR capability linking assets in non-contested air space to forward operating areas providing wide-area internet coverage, IT connectivity, and tactically adaptable infrastructure for the warfighter. For domestic use, in the air, the same deployment schema applies, except the system acts as a flying laboratory for airspace integration where the adaptable airborne infrastructure is used as a scalable test system for regulatory development. On the ground, vertiports are utilized in sustained operations with controlled “congested scenario” scaling to mixed “hub and spoke” deployments from air-to-air and air-to-ground “vertiports” for the development of Advanced Regional Mobility Corridors (ARMC).", "keywords": [ "Software deployment", "Computer science", "Drone", "Scalability", "Constellation", "Cloud computing", "Architecture", "Distributed computing", "Systems engineering", "Real-time computing", "Engineering", "Operating system" ], "cited_by_openalex": 2, "cited_by_scopus": 0, "eid": null, "pii": null, "open_access_url": "https://doi.org/10.2514/6.2023-3899", "sources": [ { "db": "openalex", "stream": "UAV", "query_id": "UAV-3" } ], "streams": [ "UAV" ], "relevance_signals": [ "UAV_NO_CTX" ], "auto_exclude_reason": "EC-4-topic", "screening_status": "auto_excluded", "screened_by": "auto-v1.0.0" }, { "id": "doi:10.2514/6.2023-3365", "doi": "10.2514/6.2023-3365", "title": "An Open-Source Framework For Modeling Aircraft Noise In Urban Environments", "year": 2023, "authors": [ "Matthew A. Clarke" ], "first_author": "Matthew A. Clarke", "venue": "AIAA Aviation and Aeronautics Forum and Exposition AIAA Aviation Forum 2023", "volume": null, "pages": null, "type": "conference-paper", "language": "en", "abstract": "View Video Presentation: https://doi.org/10.2514/6.2023-3365.vid Limited extensibility and difficulty accessing federally developed tools for estimating noise pollution from urban air mobility operations have resulted in isolated efforts toward understanding the implications of aerial intra-city commuting. This paper addresses these challenges by proposing an urban environment noise assessment framework. It takes the approach of directly computing the noise at spatiotemporal points throughout an aircraft's trajectory rather than using correlative models which are based on a finite set of flight conditions. This ultimately allows for more accurate predictions of aircraft noise emissions. Three case studies are carried out to demonstrate the framework's capabilities and its potential to be used for establishing compatibility metrics that will guide future expansions of novel mobility trends within the aviation sector. The first study examined fly-over noise, the second explored vertiport arrival and departure flight path angles, and the third examined noise emissions within the Los Angeles Metropolitan area. Results highlight that the acoustic footprint on communities below strongly depends on vehicle configuration and frequency of commuter service.", "keywords": [ "Computer science", "Noise (video)", "Open source", "Aircraft noise", "Noise reduction", "Computer vision", "Software", "Operating system" ], "cited_by_openalex": 2, "cited_by_scopus": "2", "eid": "2-s2.0-85197491084", "pii": null, "open_access_url": "https://doi.org/10.2514/6.2023-3365", "sources": [ { "db": "openalex", "stream": "UAV", "query_id": "UAV-3" }, { "db": "scopus", "stream": "UAV", "query_id": "UAV-3" } ], "streams": [ "UAV" ], "relevance_signals": [ "UAV_NO_CTX" ], "auto_exclude_reason": "EC-4-topic", "screening_status": "auto_excluded", "screened_by": "auto-v1.0.0" }, { "id": "doi:10.1016/bs.adcom.2023.07.005", "doi": "10.1016/bs.adcom.2023.07.005", "title": "An automatic path navigation for visually challenged people using deep Q learning", "year": 2023, "authors": [ "S. Muthurajkumar", "B. Rahul", "L.S. Sanjay Kumar", "E. Gokkul" ], "first_author": "S. Muthurajkumar", "venue": "Advances in computers", "volume": "132", "pages": "205-218", "type": "book-chapter", "language": "en", "abstract": null, "keywords": [ "Automation", "Computer science", "Path (computing)", "Obstacle", "Work (physics)", "Human–computer interaction", "Navigation system", "Artificial intelligence", "Deep learning", "Drone", "Firefighting", "Obstacle avoidance" ], "cited_by_openalex": 1, "cited_by_scopus": "2", "eid": "2-s2.0-85169800709", "pii": "S0065245823000529", "open_access_url": "https://doi.org/10.1016/bs.adcom.2023.07.005", "sources": [ { "db": "openalex", "stream": "UAV", "query_id": "UAV-3" }, { "db": "scopus", "stream": "UAV", "query_id": "UAV-3" } ], "streams": [ "UAV" ], "relevance_signals": [ "UAV_NO_CTX" ], "auto_exclude_reason": "EC-4-topic", "screening_status": "auto_excluded", "screened_by": "auto-v1.0.0" }, { "id": "doi:10.3390/enc2023-15442", "doi": "10.3390/enc2023-15442", "title": "Local Differential GNSS Augmentation for Integration into Urban Air Mobility", "year": 2023, "authors": [ "Daniel Gerbeth", "Maria Caamano", "Chen Zhu" ], "first_author": "Daniel Gerbeth", "venue": null, "volume": null, "pages": null, "type": "conference-paper", "language": "en", "abstract": "This paper describes a concept for local GNSS (Global Navigation Satellite System) augmentation derived from the established Ground Based Augmentation System (GBAS) in civil aviation. The aim of this concept is to provide reliable and accurate GNSS measurements for integration into a redundant, safe and reliable integrated navigation architecture tailored to serve Urban Air Mobility (UAM). The proposed concept for local GNSS augmentation addresses the specific challenges of UAM, in particular for take-off and landing operations, and ensures safe separation between UAM vehicles en route between vertiports. By using less expensive hardware compared to the traditional GBAS, the concept aims to make the integration into future urban airspace easier and more cost-effective, both in terms of ground infrastructure demands and on-board navigation hardware. In addition to the high-level system concept and considerations, we present an initial nominal performance assessment of local augmentation using lower-cost airborne and ground hardware. This assessment is based on actual UAV (Unmanned Aerial Vehicle) flight trials conducted in different urban scenarios, as well as long-term rooftop measurements.", "keywords": [ "GNSS applications", "GNSS augmentation", "Computer science", "Satellite system", "Air navigation", "Systems engineering", "Aviation", "Civil aviation", "Global Positioning System", "Real-time computing", "Engineering", "Aerospace engineering" ], "cited_by_openalex": 2, "cited_by_scopus": 0, "eid": null, "pii": null, "open_access_url": "https://www.mdpi.com/2673-4591/54/1/40/pdf?version=1704710358", "sources": [ { "db": "openalex", "stream": "UAV", "query_id": "UAV-3" } ], "streams": [ "UAV" ], "relevance_signals": [ "UAV_NO_CTX" ], "auto_exclude_reason": "EC-4-topic", "screening_status": "auto_excluded", "screened_by": "auto-v1.0.0" }, { "id": "doi:10.2514/6.2023-3263", "doi": "10.2514/6.2023-3263", "title": "Estimating Throughput for Urban Air Mobility Operations", "year": 2023, "authors": [ "Hanbong Lee", "Robert D. Windhorst", "Todd A. Lauderdale", "Andrew C. Cone", "Kushal A. Moolchandani" ], "first_author": "Hanbong Lee", "venue": null, "volume": null, "pages": null, "type": "conference-paper", "language": "en", "abstract": "View Video Presentation: https://doi.org/10.2514/6.2023-3263.vid Urban Air Mobility (UAM) is a new air transportation service concept to carry passengers or cargo in urban areas with advanced technologies. To evolve the UAM ecosystem towards the higher level of operational density and complexity, appropriate airspace construct design and airspace management services should be developed. For efficient air traffic management and strategic airspace resource planning for UAM operations, it is necessary to estimate the capacity of airspace resources and the maximum throughput that can be achieved by the given airspace construct design. This paper proposes a simple analytical method to estimate the maximum throughput for a given route structure by combining existing capacity estimation approaches for individual resources like vertiports and fleet availability and considering other factors that can affect the throughput. The proposed throughput estimation model is applied to a simple UAM route network in Dallas/Fort Worth metropolitan area and evaluated with a realistic traffic scenario. The evaluation results show that this throughput estimation model can identify the most significant factor affecting the capacity and predict how the throughput changes in dynamic operating environments.", "keywords": [ "Throughput", "Metropolitan area", "Computer science", "Air traffic control", "Construct (python library)", "Transport engineering", "Service (business)", "Computer network", "Engineering", "Telecommunications" ], "cited_by_openalex": 2, "cited_by_scopus": 0, "eid": null, "pii": null, "open_access_url": "https://doi.org/10.2514/6.2023-3263", "sources": [ { "db": "openalex", "stream": "UAV", "query_id": "UAV-3" } ], "streams": [ "UAV" ], "relevance_signals": [ "UAV_NO_CTX" ], "auto_exclude_reason": "EC-4-topic", "screening_status": "auto_excluded", "screened_by": "auto-v1.0.0" }, { "id": "doi:10.2139/ssrn.4402269", "doi": "10.2139/ssrn.4402269", "title": "Location Selection Problem of Integrated Mobility Hub for Sustainable Urban Mobility", "year": 2023, "authors": [ "Jaehyun Jason So", "Munhyun Chae", "Jiho Hong", "Juhyoun Youm", "Sang Hyun Kim", "Jinhee Kim" ], "first_author": "Jaehyun Jason So", "venue": "SSRN Electronic Journal", "volume": null, "pages": null, "type": "preprint", "language": "en", "abstract": null, "keywords": [ "Selection (genetic algorithm)", "Business", "Transport engineering", "Environmental planning", "Computer science", "Geography", "Engineering", "Artificial intelligence" ], "cited_by_openalex": 2, "cited_by_scopus": 0, "eid": null, "pii": null, "open_access_url": "https://doi.org/10.2139/ssrn.4402269", "sources": [ { "db": "openalex", "stream": "UAV", "query_id": "UAV-3" } ], "streams": [ "UAV" ], "relevance_signals": [ "NO_TECHNOLOGY_MATCH" ], "auto_exclude_reason": "EC-4-topic", "screening_status": "auto_excluded", "screened_by": "auto-v1.0.0" }, { "id": "doi:10.1109/icca59364.2023.10401727", "doi": "10.1109/icca59364.2023.10401727", "title": "Development of a Free Fall Drone for Firefighting Applications", "year": 2023, "authors": [ "Abdel-Razzak Merheb", "Yahya Bazzaz", "Ward Trad", "Ahmad Haddad" ], "first_author": "Abdel-Razzak Merheb", "venue": "Icca 2023 2023 5th International Conference on Computer and Applications Proceedings", "volume": null, "pages": null, "type": "conference-paper", "language": "en", "abstract": "Forest fires affect directly the ecological system and cause the destruction of thousands of hectares as well as the loss of houses, properties, and agricultural land. In this paper, the design and development of a free-fall precision aerial delivery system for firefighting applications is presented. The developed free fall drone can be thrown from aircrafts, blimps, or quadcopters and then directs itself autonomously to reach the desired goal. The drone is to be used in wildfire firefighting operations to deliver retardant mixtures, extinguisher solutions, or medical equipment. A special navigation algorithm based on image processing and relative positioning is used to correct the drone path, with control surfaces similar to aircraft canards used as the system actuators. A small parachute is applied to control the falling speed of the drone and ensure free fall condition. Simulation results in MATLAB/Simulink environment show acceptable performance of PID controllers used with the drone. Experimental tests show promising results for the use of the free fall drone in firefighting missions.", "keywords": [ "Drone", "Firefighting", "Aeronautics", "Quadcopter", "Computer science", "Simulation", "Engineering", "Aerospace engineering", "Geography" ], "cited_by_openalex": 1, "cited_by_scopus": "2", "eid": "2-s2.0-85185195094", "pii": null, "open_access_url": "https://doi.org/10.1109/icca59364.2023.10401727", "sources": [ { "db": "openalex", "stream": "UAV", "query_id": "UAV-3" }, { "db": "scopus", "stream": "UAV", "query_id": "UAV-3" } ], "streams": [ "UAV" ], "relevance_signals": [ "UAV_NO_CTX" ], "auto_exclude_reason": "EC-4-topic", "screening_status": "auto_excluded", "screened_by": "auto-v1.0.0" }, { "id": "doi:10.2514/6.2023-4105", "doi": "10.2514/6.2023-4105", "title": "Modelling Urban Air Mobility Demand: the Example of the Île-de-France Region", "year": 2023, "authors": [ "Marta Vale de Almeida Norte", "Matthew Fulton", "Alexis Harvey", "Christian Plevier", "Lennart Oosterholt", "Mencia Mendez Garcia", "Floris Wichers", "Len van Vliet", "Jelmer Ottens", "Sjoerd Bootsma", "Lishuai Li" ], "first_author": "Marta Vale de Almeida Norte", "venue": "AIAA Aviation and Aeronautics Forum and Exposition AIAA Aviation Forum 2023", "volume": null, "pages": null, "type": "conference-paper", "language": "en", "abstract": "View Video Presentation: https://doi.org/10.2514/6.2023-4105.vid Urban Air Mobility (UAM) is an emerging form of aerial transportation which plans to use electric Vertical Take-Off and Landing aircraft (eVTOLs) in urban areas. Realistic demand estimations are required to determine if demand would be sufficient to warrant implementation of UAM in urban areas. However, modelling UAM demand accurately is complex due to the infrastructure required for implementation and the lack of research available. Therefore new approaches are needed which begs the question \"How can UAM demand in urban areas be estimated?\". In this article, the Île-de-France region was used as an example and its demand for UAM was estimated. To perform this demand estimation, the four-step model was followed with activity-based and discrete choice models being used in trip generation and mode choice respectively. By doing this, the number of trips produced by and attracted to each zone was determined, as well as the mode of transportation individuals would utilize. Despite this model achieving a valid demand estimation, it is limited as many trips were neglected due to the use of an inter-zonal approach. It was found that the zone with the highest attraction per day is Paris, with 61.28 % of the total attraction, followed by Hauts-de-Seine (11.76 %). The key result of our model was that UAM had a mode share of 34.1% in our data set when competing with cars and public transport, hence UAM is viable in Île-de-France for inter-zonal trips. From this, a more general method that can be applied to other regions can be developed and used in the future. For future UAM demand estimation models, the main recommendation would be to use household-based approach instead of a zonal approach during trip generation, leading to the inclusion of more trips in the data set and the consideration of vertiport placement.", "keywords": [ "TRIPS architecture", "Estimation", "Mode (computer interface)", "Trip generation", "Public transport", "Warrant", "Demand forecasting", "On demand", "Transport engineering", "Computer science", "Environmental science", "Business" ], "cited_by_openalex": 1, "cited_by_scopus": "2", "eid": "2-s2.0-85180736876", "pii": null, "open_access_url": "https://doi.org/10.2514/6.2023-4105", "sources": [ { "db": "openalex", "stream": "UAV", "query_id": "UAV-3" }, { "db": "scopus", "stream": "UAV", "query_id": "UAV-3" } ], "streams": [ "UAV" ], "relevance_signals": [ "UAV_NO_CTX" ], "auto_exclude_reason": "EC-4-topic", "screening_status": "auto_excluded", "screened_by": "auto-v1.0.0" }, { "id": "doi:10.3390/en16247943", "doi": "10.3390/en16247943", "title": "A Study on the Effects of Applying Cargo Delivery Systems to Support Energy Transition in Agglomeration Areas—An Example of the Szczecin Agglomeration, Poland", "year": 2023, "authors": [ "Pietrzak K." ], "first_author": "Pietrzak K.", "venue": "Energies", "volume": "16", "pages": null, "type": "Article", "language": null, "abstract": null, "keywords": [], "cited_by_openalex": 0, "cited_by_scopus": "2", "eid": "2-s2.0-85180730206", "pii": null, "open_access_url": null, "sources": [ { "db": "scopus", "stream": "TRUCK", "query_id": "TRUCK-1" } ], "streams": [ "TRUCK" ], "relevance_signals": [ "NO_TECHNOLOGY_MATCH" ], "auto_exclude_reason": "EC-4-topic", "screening_status": "auto_excluded", "screened_by": "auto-v1.0.0" }, { "id": "doi:10.1007/978-3-031-20141-7_71", "doi": "10.1007/978-3-031-20141-7_71", "title": "Efficiency Assessments of the Parking and Time Restrictions Implementation in Kharkiv by Applying the Logistics Sustainability Index Methodology", "year": 2023, "authors": [ "Olkhova M." ], "first_author": "Olkhova M.", "venue": "Lecture Notes in Networks and Systems", "volume": "536 LNNS", "pages": "795-807", "type": "Conference Paper", "language": null, "abstract": null, "keywords": [], "cited_by_openalex": 0, "cited_by_scopus": "2", "eid": "2-s2.0-85144239175", "pii": null, "open_access_url": null, "sources": [ { "db": "scopus", "stream": "TRUCK", "query_id": "TRUCK-1" } ], "streams": [ "TRUCK" ], "relevance_signals": [ "NO_TECHNOLOGY_MATCH" ], "auto_exclude_reason": "EC-4-topic", "screening_status": "auto_excluded", "screened_by": "auto-v1.0.0" }, { "id": "doi:10.1080/23311916.2023.2231725", "doi": "10.1080/23311916.2023.2231725", "title": "Improving delivery planning via an optimization technique for a case study of a construction material store", "year": 2023, "authors": [ "Prachyathawornkul S." ], "first_author": "Prachyathawornkul S.", "venue": "Cogent Engineering", "volume": "10", "pages": null, "type": "Article", "language": null, "abstract": null, "keywords": [], "cited_by_openalex": 0, "cited_by_scopus": "2", "eid": "2-s2.0-85164325006", "pii": null, "open_access_url": null, "sources": [ { "db": "scopus", "stream": "TRUCK", "query_id": "TRUCK-3" } ], "streams": [ "TRUCK" ], "relevance_signals": [ "NO_TECHNOLOGY_MATCH" ], "auto_exclude_reason": "EC-4-topic", "screening_status": "auto_excluded", "screened_by": "auto-v1.0.0" }, { "id": "doi:10.3963/j.issn.2095-3844.2023.01.014", "doi": "10.3963/j.issn.2095-3844.2023.01.014", "title": "Urban Logistics UAV Transportation Path Planning", "year": 2023, "authors": [ "Fei Y." ], "first_author": "Fei Y.", "venue": "Wuhan Ligong Daxue Xuebao Jiaotong Kexue Yu Gongcheng Ban Journal of Wuhan University of Technology Transportation Science and Engineering", "volume": "47", "pages": "79-89", "type": "Article", "language": null, "abstract": null, "keywords": [], "cited_by_openalex": 0, "cited_by_scopus": "2", "eid": "2-s2.0-85153061463", "pii": null, "open_access_url": null, "sources": [ { "db": "scopus", "stream": "UAV", "query_id": "UAV-1" } ], "streams": [ "UAV" ], "relevance_signals": [ "UAV" ], "auto_exclude_reason": null, "screening_status": "pending_human_screening", "screened_by": "auto-v1.0.0" }, { "id": "title:uav scheduling strategies in multi modal last mile urban parcel delivery", "doi": null, "title": "UAV Scheduling Strategies in Multi-modal Last-Mile Urban Parcel Delivery", "year": 2023, "authors": [ "Li A." ], "first_author": "Li A.", "venue": "15th Usa Europe Seminar on Air Traffic Management Research and Development ATM 2023", "volume": null, "pages": null, "type": "Conference Paper", "language": null, "abstract": null, "keywords": [], "cited_by_openalex": 0, "cited_by_scopus": "2", "eid": "2-s2.0-105031591507", "pii": null, "open_access_url": null, "sources": [ { "db": "scopus", "stream": "UAV", "query_id": "UAV-1" } ], "streams": [ "UAV" ], "relevance_signals": [ "UAV" ], "auto_exclude_reason": null, "screening_status": "pending_human_screening", "screened_by": "auto-v1.0.0" }, { "id": "doi:10.1109/cset58993.2023.10346777", "doi": "10.1109/cset58993.2023.10346777", "title": "Current Problems and Proposed Solutions for the Electronic Commerce Sector", "year": 2023, "authors": [ "Wahshat H.A." ], "first_author": "Wahshat H.A.", "venue": "2023 International Conference on Computer Science and Emerging Technologies Cset 2023", "volume": null, "pages": null, "type": "Conference Paper", "language": null, "abstract": null, "keywords": [], "cited_by_openalex": 0, "cited_by_scopus": "2", "eid": "2-s2.0-85182031633", "pii": null, "open_access_url": null, "sources": [ { "db": "scopus", "stream": "UAV", "query_id": "UAV-1" } ], "streams": [ "UAV" ], "relevance_signals": [ "NO_TECHNOLOGY_MATCH" ], "auto_exclude_reason": "EC-4-topic", "screening_status": "auto_excluded", "screened_by": "auto-v1.0.0" }, { "id": "title:optimization of decisions when planning a uav group mission with alternative depots", "doi": null, "title": "Optimization of Decisions when Planning a UAV Group Mission with Alternative Depots", "year": 2023, "authors": [ "Hulianytskyi L." ], "first_author": "Hulianytskyi L.", "venue": "Ceur Workshop Proceedings", "volume": "3538", "pages": "245-256", "type": "Conference Paper", "language": null, "abstract": null, "keywords": [], "cited_by_openalex": 0, "cited_by_scopus": "2", "eid": "2-s2.0-85178291018", "pii": null, "open_access_url": null, "sources": [ { "db": "scopus", "stream": "UAV", "query_id": "UAV-2" } ], "streams": [ "UAV" ], "relevance_signals": [ "UAV_NO_CTX" ], "auto_exclude_reason": "EC-4-topic", "screening_status": "auto_excluded", "screened_by": "auto-v1.0.0" }, { "id": "doi:10.16511/j.cnki.qhdxxb.2022.26.046", "doi": "10.16511/j.cnki.qhdxxb.2022.26.046", "title": "Design and Testing of a Large Parafoil", "year": 2023, "authors": [ "Wu Z." ], "first_author": "Wu Z.", "venue": "Qinghua Daxue Xuebao Journal of Tsinghua University", "volume": "63", "pages": "348-355", "type": "Article", "language": null, "abstract": null, "keywords": [], "cited_by_openalex": 0, "cited_by_scopus": "2", "eid": "2-s2.0-85153965784", "pii": null, "open_access_url": null, "sources": [ { "db": "scopus", "stream": "UAV", "query_id": "UAV-3" } ], "streams": [ "UAV" ], "relevance_signals": [ "NO_TECHNOLOGY_MATCH" ], "auto_exclude_reason": "EC-4-topic", "screening_status": "auto_excluded", "screened_by": "auto-v1.0.0" }, { "id": "doi:10.1007/978-3-031-27915-7_36", "doi": "10.1007/978-3-031-27915-7_36", "title": "Multiple Trip Drones-Truck Combined Operations for Last-Mile Delivery Applications. A Literature Review", "year": 2023, "authors": [ "David Sánchez-Wells", "Pedro Luis González Rodríguez", "José Luis Andrade-Pineda" ], "first_author": "David Sánchez-Wells", "venue": "Lecture notes on data engineering and communications technologies", "volume": "160", "pages": "197-201", "type": "conference-paper", "language": "en", "abstract": null, "keywords": [ "Drone", "Truck", "Popularity", "Mile", "Last mile (transportation)", "Globe", "Transport engineering", "Engineering", "Aeronautics", "Computer science", "Operations research", "Operations management" ], "cited_by_openalex": 2, "cited_by_scopus": "1", "eid": "2-s2.0-85151493882", "pii": null, "open_access_url": "https://doi.org/10.1007/978-3-031-27915-7_36", "sources": [ { "db": "openalex", "stream": "TRUCK", "query_id": "TRUCK-1" }, { "db": "openalex", "stream": "UAV", "query_id": "UAV-1" }, { "db": "scopus", "stream": "TRUCK", "query_id": "TRUCK-1" }, { "db": "scopus", "stream": "UAV", "query_id": "UAV-1" } ], "streams": [ "TRUCK", "UAV" ], "relevance_signals": [ "UAV", "TRUCK" ], "auto_exclude_reason": null, "screening_status": "pending_human_screening", "screened_by": "auto-v1.0.0" }, { "id": "doi:10.2139/ssrn.4617827", "doi": "10.2139/ssrn.4617827", "title": "Recipient-Dependent Last-Mile Delivery Routing with Autonomous Vehicle Applications", "year": 2023, "authors": [ "Bahar D. Viniche", "Mehdi Nourinejad", "Opher Baron", "Oded Berman" ], "first_author": "Bahar D. Viniche", "venue": "SSRN Electronic Journal", "volume": null, "pages": null, "type": "preprint", "language": "en", "abstract": null, "keywords": [ "Last mile (transportation)", "Mile", "Vehicle routing problem", "Routing (electronic design automation)", "Computer science", "Transport engineering", "Engineering", "Business", "Computer network", "Geography" ], "cited_by_openalex": 1, "cited_by_scopus": 0, "eid": null, "pii": null, "open_access_url": "https://doi.org/10.2139/ssrn.4617827", "sources": [ { "db": "openalex", "stream": "TRUCK", "query_id": "TRUCK-1" }, { "db": "openalex", "stream": "TRUCK", "query_id": "TRUCK-3" } ], "streams": [ "TRUCK" ], "relevance_signals": [ "NO_TECHNOLOGY_MATCH" ], "auto_exclude_reason": "EC-4-topic", "screening_status": "auto_excluded", "screened_by": "auto-v1.0.0" }, { "id": "doi:10.2139/ssrn.4516185", "doi": "10.2139/ssrn.4516185", "title": "The Use of Electric Cargo Bike and Cycle for Sustainable Last Mile Delivery: Optimization and Evaluation", "year": 2023, "authors": [ "B Lee", "So Rim Han", "Byung Duk Song" ], "first_author": "B Lee", "venue": "SSRN Electronic Journal", "volume": null, "pages": null, "type": "preprint", "language": "en", "abstract": null, "keywords": [ "Mile", "Last mile (transportation)", "Transport engineering", "Business", "Engineering", "Geography" ], "cited_by_openalex": 1, "cited_by_scopus": 0, "eid": null, "pii": null, "open_access_url": "https://doi.org/10.2139/ssrn.4516185", "sources": [ { "db": "openalex", "stream": "TRUCK", "query_id": "TRUCK-1" }, { "db": "openalex", "stream": "TRUCK", "query_id": "TRUCK-3" } ], "streams": [ "TRUCK" ], "relevance_signals": [ "NO_TECHNOLOGY_MATCH" ], "auto_exclude_reason": "EC-4-topic", "screening_status": "auto_excluded", "screened_by": "auto-v1.0.0" }, { "id": "doi:10.36501/0197-9191/23-014", "doi": "10.36501/0197-9191/23-014", "title": "Analysis of Drone-based Last-mile Delivery Systems under Aerial Congestion: A Continuum Approximation Approach", "year": 2023, "authors": [ "Ruifeng She", "Yanfeng Ouyang" ], "first_author": "Ruifeng She", "venue": null, "volume": null, "pages": null, "type": "report", "language": "en", "abstract": "This paper presents a systematic analysis and design framework for a spectrum of last-mile delivery systems that leverage unmanned aerial vehicles (UAVs). Four distinct modes are considered: (1) direct drone deliveries from a fixed depot; (2) drone deliveries from parked trucks that carry bulk parcels to customer neighborhoods; (3) drone deliveries from nonstopping trucks that tour customer neighborhoods; and (4) as a benchmark, traditional truck-based home deliveries. We present a new continuum-approximation approach that is used for analysis of both truck routing and aerial-UAV traffic. We compared the operational cost and efficiency of different delivery schemes to reveal how a certain scheme is the most efficient under various scenarios. We demonstrate the applicability of our model on expansive real-world roadway networks and further conduct analysis on grid networks, yielding key analytical insights. The drone-based delivery is demonstrated to be superior to conventional truck-only delivery, suggesting a significant potential for socioeconomic benefit. It is observed that when servicing a relatively low demand over a small area, dispatching drones directly from the distribution facility is the most efficient method. As the demand grows or spans a wider area, collaborative strategies are preferred, as they better cope with certain aspects, such as the long line-haul cost or the ramping aerial congestion, by striking a balance between efficiency and flexibility.", "keywords": [ "Drone", "Truck", "Last mile (transportation)", "Computer science", "Transport engineering", "Grid", "Operations research", "Computer network", "Mile", "Engineering", "Geography", "Automotive engineering" ], "cited_by_openalex": 1, "cited_by_scopus": 0, "eid": null, "pii": null, "open_access_url": "https://doi.org/10.36501/0197-9191/23-014", "sources": [ { "db": "openalex", "stream": "TRUCK", "query_id": "TRUCK-1" }, { "db": "openalex", "stream": "TRUCK", "query_id": "TRUCK-3" }, { "db": "openalex", "stream": "UAV", "query_id": "UAV-1" }, { "db": "openalex", "stream": "UAV", "query_id": "UAV-3" } ], "streams": [ "TRUCK", "UAV" ], "relevance_signals": [ "UAV", "TRUCK" ], "auto_exclude_reason": null, "screening_status": "pending_human_screening", "screened_by": "auto-v1.0.0" }, { "id": "doi:10.4271/2023-01-0599", "doi": "10.4271/2023-01-0599", "title": "Analysis and Redesign of Connection Part in Cargo Truck Chassis for Fatigue Durability Performance", "year": 2023, "authors": [ "Furong Xie", "Yunkai Gao", "Yanan Xu", "De Gao", "Ting Pan" ], "first_author": "Furong Xie", "venue": "SAE technical papers on CD-ROM/SAE technical paper series", "volume": null, "pages": null, "type": "conference-paper", "language": "en", "abstract": "With the growing prosperity of the long-distance freight and urban logistics industry, the demand for cargo trucks is gradually increasing. The connecting bracket is the critical connecting part of the truck chassis, which bears the load transmitted by the road excitation and reduces the damage to the frame caused by the load. However, the occurrence of rough road conditions is inevitable in heavy-duty transportation. In this paper, road durability tests and fatigue life analysis are carried out on the original structure to ensure the safety of the vehicle. Based on the known boundary and load constraints, a lightweight and high-performance structure is obtained through size optimization, as the original structure cannot meet the performance requirements. Firstly, the road test was conducted on the truck where the original bracket structure is located. The stress response spectrums under fatigue simulation were obtained by combining the road test load spectrums at the excitation points. Moreover, according to the von Mises yield criterion or Tresca yield criterion, the stress-strain in the multiaxial state is equated to the stress-strain in the uniaxial state and made as the fatigue damage parameter. Then the cumulative damage value was carried out by adopting the fatigue damage accumulation theory based on Miner's rule. Secondly, a new connecting bracket layout is designed and optimized by size optimization with multiple performance constraints. Finally, fatigue life prediction and road durability tests were conducted based on the optimized design. The fatigue analysis and road durability test results show that the optimized bracket has better stiffness, strength, and fatigue performance than the original bracket.", "keywords": [ "Truck", "Chassis", "Durability", "Structural engineering", "Bracket", "Engineering", "von Mises yield criterion", "Stress (linguistics)", "Automotive engineering", "Computer science", "Finite element method" ], "cited_by_openalex": 2, "cited_by_scopus": "1", "eid": "2-s2.0-85160780528", "pii": null, "open_access_url": "https://doi.org/10.4271/2023-01-0599", "sources": [ { "db": "openalex", "stream": "TRUCK", "query_id": "TRUCK-1" }, { "db": "scopus", "stream": "TRUCK", "query_id": "TRUCK-1" } ], "streams": [ "TRUCK" ], "relevance_signals": [ "TRUCK" ], "auto_exclude_reason": null, "screening_status": "pending_human_screening", "screened_by": "auto-v1.0.0" }, { "id": "doi:10.4324/9781003241478-30", "doi": "10.4324/9781003241478-30", "title": "Decarbonizing Road Freight and Alternative Fuels for Urban Logistics", "year": 2023, "authors": [ "Geneviève Giuliano", "Sue Dexter" ], "first_author": "Geneviève Giuliano", "venue": null, "volume": null, "pages": null, "type": "book-chapter", "language": "en", "abstract": "Road freight is a significant and growing source of greenhouse gas (GHG) emissions worldwide. Globally the transport sector accounts for about 15% of all GHGs; the share is higher in high-income countries. This chapter examines the decarbonization of medium-duty (MD) and heavy-duty (HD) trucks. Trucks are the workhorse of surface goods movement; they transport two-thirds of all goods by weight in the United States and account for nearly all urban last-mile deliveries. The rise in direct consumer deliveries has changed the urban delivery landscape. Medium and heavy-duty trucks have different duty cycles depending on their use. HD trucks can carry liquid chemicals, shipping containers, or refrigerated groceries to a customer, while MD trucks may deliver packages or goods to numerous customers on a single tour. The chapter closes with a discussion of public policy and decarbonization of the vehicle fleet.", "keywords": [ "Business", "City logistics", "Transport engineering", "Engineering" ], "cited_by_openalex": 1, "cited_by_scopus": 0, "eid": null, "pii": null, "open_access_url": "https://doi.org/10.4324/9781003241478-30", "sources": [ { "db": "openalex", "stream": "TRUCK", "query_id": "TRUCK-1" }, { "db": "openalex", "stream": "TRUCK", "query_id": "TRUCK-3" } ], "streams": [ "TRUCK" ], "relevance_signals": [ "TRUCK" ], "auto_exclude_reason": null, "screening_status": "pending_human_screening", "screened_by": "auto-v1.0.0" }, { "id": "doi:10.1109/dsins60115.2023.10455630", "doi": "10.1109/dsins60115.2023.10455630", "title": "Research on Model-Based Cooperative Delivery Problem of Trucks and UAVs", "year": 2023, "authors": [ "Jinchen Zhao", "Jun Lei", "Mian Ye", "Weiran Zhang", "H. Yang" ], "first_author": "Jinchen Zhao", "venue": "2023 3rd International Conference on Digital Society and Intelligent Systems Dsins 2023", "volume": null, "pages": "280-284", "type": "conference-paper", "language": "en", "abstract": "In order to address the increasing complexity of the urban logistics and distribution environment, a novel cooperative delivery model of trucks and UAVs was proposed, aiming to improve the efficiency of logistics and distribution, reduce the economic loss caused by untimely delivery, and meanwhile solve the problems of short distribution distance and insufficient range capacity in the UAV logistics industry. K-means clustering algorithm was utilized to determine the truck distribution points, and genetic algorithm was applied to solve the problem of the shortest driving distance under the cooperative distribution model. Through numerical experiments, it was verified that the proposed method featured favorable distribution performance with faster delivery speed and less time consumption. The research provided future development of urban logistics and distribution with regard to novel ideas and methods.", "keywords": [ "Truck", "Computer science", "Transport engineering", "Engineering", "Aerospace engineering" ], "cited_by_openalex": 1, "cited_by_scopus": "1", "eid": "2-s2.0-85188025522", "pii": null, "open_access_url": "https://doi.org/10.1109/dsins60115.2023.10455630", "sources": [ { "db": "openalex", "stream": "TRUCK", "query_id": "TRUCK-1" }, { "db": "openalex", "stream": "UAV", "query_id": "UAV-1" }, { "db": "scopus", "stream": "TRUCK", "query_id": "TRUCK-1" }, { "db": "scopus", "stream": "UAV", "query_id": "UAV-1" } ], "streams": [ "TRUCK", "UAV" ], "relevance_signals": [ "UAV", "TRUCK" ], "auto_exclude_reason": null, "screening_status": "pending_human_screening", "screened_by": "auto-v1.0.0" }, { "id": "doi:10.54612/a.45um2oare0", "doi": "10.54612/a.45um2oare0", "title": "Characterising and Modelling Urban Freight in Developing Economies", "year": 2023, "authors": [ "Abel Kebede Reda" ], "first_author": "Abel Kebede Reda", "venue": "Acta universitatis agriculturae Sueciae", "volume": null, "pages": null, "type": "book", "language": "en", "abstract": "Urban freight systems in developing countries present significant challenges due to their complexity. Authorities often have inadequate institutional structures, making it difficult to identify and implement relevant initiatives. This thesis aims to characterise the systems in developing economies and model freight demand using innovative approaches by considering new attributes, dimensions and alternatives. As a first modelling step, freight (trip) generation was improved by considering spatial and locational determinants, as freight activities are strongly related to spatial and locational characteristics of establishments. Spatial models were developed using a combined spatial autoregressive model (SAR) and geographically weighted regression (GWR) or multiscale GWR (MGWR) (GWR/MGWR-SAR model). This model accounted for non-linearity, spatial heterogeneity and spatial dependency and demonstrated significant improvements (R2 0.29-0.71, RMSE reduced by 71% and AIC value by 56%). Shipment size decisions related to the choice of truck type were strongly timedependent, with commodity type, activities at the trip end, truck body type and industry sector affecting the preferences. Freight demand, including shipment size choices, was influenced by economic fluctuations, with shipment size declining after an economic slowdown. In freight demand modelling, it is imperative to consider economic conditions, especially those in developing countries, which are often susceptible to strong economic fluctuations. The models were applied in ex ante testing of a policy restricting large trucks from entering a city centre, as commonly considered in many developing countries. In tests, the truck restriction was accompanied by single-tier and two-tier distribution systems. The results showed that the two-tier system had a slight advantage over the single-tier system regarding operational expenditure and emission levels. Truck restriction was generally counterproductive, even when accompanied by distribution systems with greater speed and efficiency. We conclude that the models enhance the accurate prediction of freight demand patterns. The ex ante evaluation of policy alternatives supports the decision-making process for urban freight systems of large cities in developing economies. The models allow considering relevant practical, local contextual conditions.", "keywords": [ "Truck", "Commodity", "Developing country", "Transport engineering", "Business", "Economics", "Econometrics", "Engineering", "Economic growth" ], "cited_by_openalex": 1, "cited_by_scopus": 0, "eid": null, "pii": null, "open_access_url": "https://pub.epsilon.slu.se/id/document/20414238", "sources": [ { "db": "openalex", "stream": "TRUCK", "query_id": "TRUCK-1" } ], "streams": [ "TRUCK" ], "relevance_signals": [ "TRUCK" ], "auto_exclude_reason": null, "screening_status": "pending_human_screening", "screened_by": "auto-v1.0.0" }, { "id": "doi:10.48550/arxiv.2307.03523", "doi": "10.48550/arxiv.2307.03523", "title": "Parallel drone scheduling vehicle routing problems with collective drones", "year": 2023, "authors": [ "Roberto Montemanni", "Mauro Dell’Amico", "Corsini, Andrea" ], "first_author": "Roberto Montemanni", "venue": "arXiv (Cornell University)", "volume": null, "pages": null, "type": "preprint", "language": "en", "abstract": "We study last-mile delivery problems where trucks and drones collaborate to deliver goods to final customers. In particular, we focus on problem settings where either a single truck or a fleet with several homogeneous trucks work in parallel to drones, and drones have the capability of collaborating for delivering missions. This cooperative behaviour of the drones, which are able to connect to each other and work together for some delivery tasks, enhance their potential, since connected drone has increased lifting capabilities and can fly at higher speed, overcoming the main limitations of the setting where the drones can only work independently. In this work, we contribute a Constraint Programming model and a valid inequality for the version of the problem with one truck, namely the \\emph{Parallel Drone Scheduling Traveling Salesman Problem with Collective Drones} and we introduce for the first time the variant with multiple trucks, called the \\emph{Parallel Drone Scheduling Vehicle Routing Problem with Collective Drones}. For the latter variant, we propose two Constraint Programming models and a Mixed Integer Linear Programming model. An extensive experimental campaign leads to state-of-the-art results for the problem with one truck and some understanding of the presented models' behaviour on the version with multiple trucks. Some insights about future research are finally discussed.", "keywords": [ "Drone", "Truck", "Travelling salesman problem", "Vehicle routing problem", "Computer science", "Scheduling (production processes)", "Integer programming", "Routing (electronic design automation)", "Job shop scheduling", "Constraint programming", "Operations research", "Mathematical optimization" ], "cited_by_openalex": 1, "cited_by_scopus": 0, "eid": null, "pii": null, "open_access_url": "https://arxiv.org/pdf/2307.03523", "sources": [ { "db": "openalex", "stream": "TRUCK", "query_id": "TRUCK-1" }, { "db": "openalex", "stream": "UAV", "query_id": "UAV-1" }, { "db": "openalex", "stream": "UAV", "query_id": "UAV-2" } ], "streams": [ "TRUCK", "UAV" ], "relevance_signals": [ "UAV", "TRUCK" ], "auto_exclude_reason": null, "screening_status": "pending_human_screening", "screened_by": "auto-v1.0.0" }, { "id": "doi:10.1007/978-3-031-46874-2_30", "doi": "10.1007/978-3-031-46874-2_30", "title": "Assessment of Conventional Distribution Scenario and Urban Freight Horizontal Collaboration", "year": 2023, "authors": [ "Olesia Hriekova", "Andrii Galkin", "Yevhen Kush", "Teresa Gajewska", "Yevgeniy Vodovozov" ], "first_author": "Olesia Hriekova", "venue": "Lecture notes in networks and systems", "volume": "807 LNNS", "pages": "343-355", "type": "conference-paper", "language": "en", "abstract": null, "keywords": [ "Supply chain", "Business", "Work (physics)", "Service (business)", "Traffic management", "Transport engineering", "Redistribution (election)", "Cost reduction", "Horizontal and vertical", "Process (computing)", "Industrial organization", "Environmental economics" ], "cited_by_openalex": 0, "cited_by_scopus": "1", "eid": "2-s2.0-85180626883", "pii": null, "open_access_url": "https://doi.org/10.1007/978-3-031-46874-2_30", "sources": [ { "db": "openalex", "stream": "TRUCK", "query_id": "TRUCK-1" }, { "db": "scopus", "stream": "TRUCK", "query_id": "TRUCK-1" } ], "streams": [ "TRUCK" ], "relevance_signals": [ "NO_TECHNOLOGY_MATCH" ], "auto_exclude_reason": "EC-4-topic", "screening_status": "auto_excluded", "screened_by": "auto-v1.0.0" }, { "id": "doi:10.2139/ssrn.4429473", "doi": "10.2139/ssrn.4429473", "title": "Multi-Depot Vehicle Routing Problem with Drones: Mathematical Formulation, Solution Algorithm and Experiments", "year": 2023, "authors": [ "Petr Stodola", "Libor Kutěj" ], "first_author": "Petr Stodola", "venue": "SSRN Electronic Journal", "volume": null, "pages": null, "type": "preprint", "language": "en", "abstract": null, "keywords": [ "Vehicle routing problem", "Drone", "Mathematical optimization", "Computer science", "Routing (electronic design automation)", "Depot", "Algorithm", "Mathematics", "Computer network" ], "cited_by_openalex": 1, "cited_by_scopus": 0, "eid": null, "pii": null, "open_access_url": "https://doi.org/10.2139/ssrn.4429473", "sources": [ { "db": "openalex", "stream": "TRUCK", "query_id": "TRUCK-1" }, { "db": "openalex", "stream": "TRUCK", "query_id": "TRUCK-3" }, { "db": "openalex", "stream": "UAV", "query_id": "UAV-1" }, { "db": "openalex", "stream": "UAV", "query_id": "UAV-2" } ], "streams": [ "TRUCK", "UAV" ], "relevance_signals": [ "UAV_NO_CTX" ], "auto_exclude_reason": "EC-4-topic", "screening_status": "auto_excluded", "screened_by": "auto-v1.0.0" }, { "id": "doi:10.5281/zenodo.8009791", "doi": "10.5281/zenodo.8009791", "title": "Enhancing the competitiveness of inland waterway transport: A multi-methodological approach applied to port barge congestion and urban areas.", "year": 2023, "authors": [ "Peter Shobayo" ], "first_author": "Peter Shobayo", "venue": "Zenodo (CERN European Organization for Nuclear Research)", "volume": null, "pages": null, "type": "dissertation", "language": "en", "abstract": "Inland shipping could provide a competitive and more sustainable mode of transport in Europe, as it could take advantage of this region's large and dense inland waterway network. However, this is not the case due to the different challenges faced in the Inland Waterway Transport (IWT) sector. Furthermore, there have been growing concerns about the negative societal impact of road transport within dense cities and urban areas. This brings an opportunity for inland shipping to utilize the dense IWT networks that connect to the city centers to use last-mile transport to the urban areas. By doing this, inland shipping can offer a better alternative to road transport and take over some urban freight flows, enhancing its competitiveness and maximizing its underutilized capacities. The rationale of this thesis stems from the need to enhance and strengthen the competitiveness of IWT. IWT competitiveness in this research is a multifaceted concept involving a range of factors that affect the ability to transport cargo to shippers efficiently and effectively. This includes the ability of IWT to provide reliable, efficient, and cost-effective transportation services compared to other transport modes (mainly road transport). Thus, enhancing competitiveness is examined in two stages: the IWT port-hinterland container transport (specifically focusing on port barge operations) and the IWT urban freight transport. These two stages are examined due to the major issues they generate in the hinterland supply chain between the seaports and urban areas, such as barge congestion in seaport operations and the increasing negative externalities of urban freight delivery with trucks. Based on this, three main research questions were identified and addressed in the thesis. These are: 1. What are the main challenges of container barge operations in seaports in North-Western Europe? 2. How can these challenges be addressed? 3. Is it possible to deploy (small) inland vessels for urban freight use from a private and welfare viewpoint? These questions were answered through a multi-methodological approach. A quantitative survey was used to answer the first research question. In contrast, multiple quantitative techniques, such as the agent-based and economic assessment models, answered the second research question. Finally, a social cost-benefit (SCBA) model answered the third research question. The main answer to the first research question reveals that the challenges of container IWT are interrelated and can be categorized into three main themes: handling, coordination, and flexibility. These three themes can further be broken down into specific problems. These include the interference of deep-sea vessels, lack of dedicated barge spaces, small call sizes, poor planning, fixed slots, flexible schedules, and low service levels due to port congestion. The analysis further reveals that while some problems could be addressed by innovation within the container IWT sector, others can only be addressed through a change in mentality within the industry. Based on this finding, the thesis focuses only on problems that can be addressed via innovation within the sector, such as barge handling in sea terminals, small call sizes, dedicated barge space, planning, and barge slots/scheduling in sea terminals. xv The answer to the second research question suggests that dedicated barge space could solve container barge challenges in seaport operations. In this sense, if the terminals can create a dedicated handling space and invest in suitable infrastructures for the container barges, it could significantly reduce the waiting time of the barges and ensure that they do not spend an extended period at the terminals. With this, there could be a shorter lead time leading to more reliability and the enhancement of the logistical operations. Based on the above, a further analysis was conducted to examine the economic feasibility of a Modular Mobile Terminal (MMT) as a potential concept for the dedicated barge space solution for port-barge operation. This was analyzed for the Port of Antwerp-Bruges (PoAB) and the Port of Rotterdam (PoR). The overall conclusion of the analysis suggests that the MMTs are most suitable for regions and vessels with small cargo volumes and can deal with the effects of a high seasonality pattern (caused, for example, by a disruption). Regarding the specific ports, the study indicates that four MMTs would be optimal for PoR, while two MMTs would optimally be installed in PoAB. The main answers to the third research question reveal that the small vessel concept for urban freight delivery appears feasible for the vessel owner both from the private and the welfare point of view. A possible reason is a short distance from the pick-up to the drop-off point in the vessel trajectory. Regarding the Total Logistics Cost (TLC), the analysis reveals that the small vessel concept is the cheapest option for low-value goods from the private point of view, while trucks remain the cheapest option for high-value goods. However, when internalizing the external costs, the small vessel option offers the cheapest option for all categories of goods for the cargo owners from the welfare viewpoint.", "keywords": [ "BARGE", "Port (circuit theory)", "Transport engineering", "Traffic congestion", "Business", "Civil engineering", "Environmental planning", "Engineering", "Environmental science", "Marine engineering" ], "cited_by_openalex": 1, "cited_by_scopus": 0, "eid": null, "pii": null, "open_access_url": "https://zenodo.org/record/8009791", "sources": [ { "db": "openalex", "stream": "TRUCK", "query_id": "TRUCK-1" } ], "streams": [ "TRUCK" ], "relevance_signals": [ "TRUCK" ], "auto_exclude_reason": null, "screening_status": "pending_human_screening", "screened_by": "auto-v1.0.0" }, { "id": "doi:10.1117/12.2670305", "doi": "10.1117/12.2670305", "title": "Research on green vehicle routing problems with mixed fleet", "year": 2023, "authors": [ "Chang Liu", "Jianqin Zhou" ], "first_author": "Chang Liu", "venue": "Proceedings of SPIE the International Society for Optical Engineering", "volume": "12586", "pages": null, "type": "conference-paper", "language": "en", "abstract": "Currently, electric vehicles and fuel vehicles coexist in urban distribution. Given this, this paper focuses on the vehicle routing problem with the mixture of electric and fuel vehicles. Then, a green vehicle routing optimization model with a mixed fleet is proposed. The cost of carbon emissions from the fuel is considered in the model. Then, an improved genetic algorithm is designed to solve the problem. Finally, sensitivity analysis is carried out for key factors such as vehicle composition, battery capacity, and charging rate. Numerical experimental results show that the economic power of logistics enterprises to directly upgrade their fleets from all-fuel vehicles to all-electric vehicles is insufficient. The number of electric vehicles kept in the fleet should be determined according to the combination of vehicle cruising range and customer distribution. Logistics enterprises should comprehensively consider the battery capacity and charging rate to reduce the distribution cost of electric vehicles.", "keywords": [ "Vehicle routing problem", "Computer science", "Routing (electronic design automation)", "Computer network" ], "cited_by_openalex": 1, "cited_by_scopus": "1", "eid": "2-s2.0-85159691106", "pii": null, "open_access_url": "https://doi.org/10.1117/12.2670305", "sources": [ { "db": "openalex", "stream": "TRUCK", "query_id": "TRUCK-2" }, { "db": "scopus", "stream": "TRUCK", "query_id": "TRUCK-2" } ], "streams": [ "TRUCK" ], "relevance_signals": [ "NO_TECHNOLOGY_MATCH" ], "auto_exclude_reason": "EC-4-topic", "screening_status": "auto_excluded", "screened_by": "auto-v1.0.0" }, { "id": "doi:10.2139/ssrn.4459937", "doi": "10.2139/ssrn.4459937", "title": "Cmsa Algorithms for the Electric Vehicle Routing Problem with Simultaneous Pickup and Deliveries, Time Windows and Partial Battery Charging", "year": 2023, "authors": [ "Mehmet Anıl Akbay", "Christian Blum", "Can B. Kalaycı" ], "first_author": "Mehmet Anıl Akbay", "venue": "SSRN Electronic Journal", "volume": null, "pages": null, "type": "preprint", "language": "en", "abstract": null, "keywords": [ "Pickup", "Vehicle routing problem", "Battery (electricity)", "Computer science", "Algorithm", "Routing (electronic design automation)", "Electric vehicle", "Automotive engineering", "Electrical engineering", "Mathematical optimization", "Engineering", "Mathematics" ], "cited_by_openalex": 1, "cited_by_scopus": 0, "eid": null, "pii": null, "open_access_url": "https://doi.org/10.2139/ssrn.4459937", "sources": [ { "db": "openalex", "stream": "TRUCK", "query_id": "TRUCK-2" } ], "streams": [ "TRUCK" ], "relevance_signals": [ "NO_TECHNOLOGY_MATCH" ], "auto_exclude_reason": "EC-4-topic", "screening_status": "auto_excluded", "screened_by": "auto-v1.0.0" }, { "id": "doi:10.1007/978-3-031-23721-8_106", "doi": "10.1007/978-3-031-23721-8_106", "title": "Anticipation of New and Emerging Trends for Sustainable Last-Mile Urban Distribution", "year": 2023, "authors": [ "Vasco Silva", "António Amaral", "Tânia Fontes" ], "first_author": "Vasco Silva", "venue": "Lecture notes in intelligent transportation and infrastructure", "volume": "Part F1378", "pages": "1316-1329", "type": "conference-paper", "language": "en", "abstract": null, "keywords": [ "Last mile (transportation)", "Anticipation (artificial intelligence)", "Context (archaeology)", "Analytics", "Emerging technologies", "Supply chain", "Crowdsourcing", "Transport engineering", "Computer science", "Business", "Engineering", "Mile" ], "cited_by_openalex": 2, "cited_by_scopus": "1", "eid": "2-s2.0-85171388631", "pii": null, "open_access_url": "https://doi.org/10.1007/978-3-031-23721-8_106", "sources": [ { "db": "openalex", "stream": "TRUCK", "query_id": "TRUCK-2" }, { "db": "scopus", "stream": "TRUCK", "query_id": "TRUCK-2" } ], "streams": [ "TRUCK" ], "relevance_signals": [ "NO_TECHNOLOGY_MATCH" ], "auto_exclude_reason": "EC-4-topic", "screening_status": "auto_excluded", "screened_by": "auto-v1.0.0" }, { "id": "doi:10.61467/2007.1558.2023.v14i2.353", "doi": "10.61467/2007.1558.2023.v14i2.353", "title": "Optimization of terrestrial distribution routes for mass consumption products using genetic algorithm", "year": 2023, "authors": [ "Víctor Hugo Bustos-Rivera", "Myrna Hortencia Lezama León", "Héctor Armando Figueroa Urrea", "Eduardo Cruz Aldana" ], "first_author": "Víctor Hugo Bustos-Rivera", "venue": "International Journal of Combinatorial Optimization Problems and Informatics.", "volume": null, "pages": null, "type": "article", "language": "en", "abstract": "This research aims to show the results of applying optimization in the distribution network of high consumption products, using metaheuristics for the design of distribution routes, applying genetic algorithms, performing the simulation in the HeuristicLab software. Achieving the optimization of the distribution processes of high consumption products which has grown in recent years to the increase of the population and the increase of the vehicular congestion, in the big cities, hindering the achievement of common objectives between the different actors in Urban Distribution of Merchandise (DUM). The research was quantitative cross-sectional non-experimental, because the situations and subjects of study, could not be manipulated by the researcher, the information was provided by the company, which, for reasons of confidentiality, will not be named.", "keywords": [ "Consumption (sociology)", "Genetic algorithm", "Distribution (mathematics)", "Computer science", "Metaheuristic", "Software", "Confidentiality", "Population", "Operations research", "Mathematical optimization", "Algorithm", "Engineering" ], "cited_by_openalex": 1, "cited_by_scopus": 0, "eid": null, "pii": null, "open_access_url": "https://ijcopi.org/ojs/article/download/353/218", "sources": [ { "db": "openalex", "stream": "TRUCK", "query_id": "TRUCK-2" } ], "streams": [ "TRUCK" ], "relevance_signals": [ "NO_TECHNOLOGY_MATCH" ], "auto_exclude_reason": "EC-4-topic", "screening_status": "auto_excluded", "screened_by": "auto-v1.0.0" }, { "id": "doi:10.1353/sub.2023.a900523", "doi": "10.1353/sub.2023.a900523", "title": "Breathing Without a Head: Plant Respirations in John Gerrard's Smoke Trees", "year": 2023, "authors": [ "Orchid Tierney" ], "first_author": "Orchid Tierney", "venue": "SubStance", "volume": null, "pages": null, "type": "article", "language": "en", "abstract": "Breathing Without a Head:Plant Respirations in John Gerrard's Smoke Trees Orchid Tierney (bio) About two hours from where I grew up in Invercargill, Aotearoa New Zealand, is a large finger lake called Lake Wakatipu. The lake is nested in the Southern Alps of the South Island and, at the extremes, its body measures three miles wide and fifty-two miles long. The surrounding mountains are haunting in the evenings when the coniferous wildlife is silent, and for as long as I can remember, Wakatipu has been called the breathing lake. I must have read this moniker on a brochure or travel poster in a hotel or a restaurant—I used to visit the area around the lake regularly during the winter months as a child—but according to local legend, it is the beating heart of a taniwha—an ogre called Matau—that causes the lake's respirations. Matakauri, the hero of this particular myth, set alight the ogre whilst he slept in order to rescue his beloved Manata, the beautiful daughter of a local chief, whom the taniwha had kidnapped. As Matau burned, he left behind his heart, which continued to beat rhythmically in the years that followed Matakauri's daring rescue. The myth brilliantly invokes the scientific expertise of the local Indigenous people, for the lake really does rise and fall regularly throughout the day. Despite being landlocked, Wakatipu has an observable seiche, or standing wave, that occurs every 26.7 minutes and results in a tide that rises and falls almost eight inches. Of course, the seiche is the Western scientific explanation for the lake's regular aquatic behavior. The lake breathes because Matau's heart is still beating. Wakatipu's origin myth proposes a respiration that is both wonderfully metaphorical and scientific, but it also raises questions about the embodiments of breath itself. Namely, I'm curious here as to who is an agent of breath? Who and what breathes? Who can breathe easily in the Anthropocene? Who can breathe easily at all? And yet: what an unnecessarily [End Page 14] cruel question this is when so many people nowadays cannot breathe fluently or joyfully in a global pandemic. Over the course of the past two years, the ventilator has become a vexed symbol of the persistence of life, of political incompetence. Of medicalized racial injustice. The lungs that strain against the COVID-19 virus are sometimes the same lungs that have historically struggled against anthropogenic non-viral forms of air pollution. Industrial air pollutants are indicators of systemic racism, imperialism, colonialism, and the uneven urban distributions of risk. Indeed, in December 2020, a British coroner ruled, for the first time in legal history of the United Kingdom, that emissions of nitrogen dioxide and particulate matter on the South Circular Road of London were the cause of nine-year-old Ella Kissi-Debrah's acute respiratory failure in February 2013 (Laville). Toxic airborne pollution is vile matter that forcibly connects gentle lungs with racialized environments. As Timothy Choy notes, \"Air muddies the distinction between subjects and environments, and between subjects. This thickness and porosity rendered by air is part of what makes the air and the airborne such deeply felt elements\" (157). We, human animals, are too porous for the heavy industry and traffic routes that fill the air and the softness of our lungs. And so: we know the matter of the air by the smoothness of respiration; we feel the keen politics of the air when breathing is labored. I can point to numerous examples where respiration in the context of human life is fraught. Indeed, the act of breathing foregrounds the buoyancy of humanity and the formations of life. I want to acknowledge and hold those complexities because breathing in relation to human life, especially for populations of color, disabled people, and transgender communities, is not yet guaranteed. And I want to consider additionally, who and what has been excluded from the formulations of breathing more generally, and how breathing itself has been anthropomorphized at the expense of other forms of more-than-human life. As Jane Bennett suggests, \"humans are always in composition with nonhumanity, never outside of a sticky...", "keywords": [ "Legend", "Mythology", "History", "HERO", "Archaeology", "Geography", "Art", "Literature" ], "cited_by_openalex": 1, "cited_by_scopus": 0, "eid": null, "pii": null, "open_access_url": "https://doi.org/10.1353/sub.2023.a900523", "sources": [ { "db": "openalex", "stream": "TRUCK", "query_id": "TRUCK-2" } ], "streams": [ "TRUCK" ], "relevance_signals": [ "NO_TECHNOLOGY_MATCH" ], "auto_exclude_reason": "EC-4-topic", "screening_status": "auto_excluded", "screened_by": "auto-v1.0.0" }, { "id": "doi:10.2139/ssrn.4530365", "doi": "10.2139/ssrn.4530365", "title": "Solution Algorithms for Dock Scheduling and Truck Sequencing in Cross-Docks: A Neural Branch-and-Price and a Metaheuristic", "year": 2023, "authors": [ "Rahimeh Neamatian Monemi", "Shahin Gelareh", "Nelson Maculan" ], "first_author": "Rahimeh Neamatian Monemi", "venue": "SSRN Electronic Journal", "volume": null, "pages": null, "type": "preprint", "language": "en", "abstract": null, "keywords": [ "Metaheuristic", "Truck", "DOCK", "Computer science", "Vehicle routing problem", "Scheduling (production processes)", "Operations research", "Mathematical optimization", "Algorithm", "Engineering", "Mathematics", "Automotive engineering" ], "cited_by_openalex": 1, "cited_by_scopus": 0, "eid": null, "pii": null, "open_access_url": "https://doi.org/10.2139/ssrn.4530365", "sources": [ { "db": "openalex", "stream": "TRUCK", "query_id": "TRUCK-3" } ], "streams": [ "TRUCK" ], "relevance_signals": [ "TRUCK_NO_CTX" ], "auto_exclude_reason": "EC-4-topic", "screening_status": "auto_excluded", "screened_by": "auto-v1.0.0" }, { "id": "doi:10.1504/ijvcm.2023.135621", "doi": "10.1504/ijvcm.2023.135621", "title": "Improving cross-docking systems by load integration: meta-heuristics approach", "year": 2023, "authors": [ "Zohreh Khalilpourshiraz", "Mahdi Yousefi Nejad Attari", "Sajjad Gozalzadeh" ], "first_author": "Zohreh Khalilpourshiraz", "venue": "International Journal of Value Chain Management", "volume": "14", "pages": "377-397", "type": "article", "language": "en", "abstract": "In order to reduce costs and increase the efficiency of the supply chain system, cross-docking is one of the essential warehousing management strategies to combine products from different suppliers to different customers. In this study, a particular state of cross-docking is considered in which inbound trucks can also be used as outbound trucks while it brings benefits such as reduced unloading, loading, and truck rental costs. In this state of the problem, a mathematical model has been developed to obtain the appropriate answer. Also, we solve the model and determine the accuracy of modelling from optimisation software such as GAMS and MATLAB. Also, we consider meta-heuristic algorithms, and the experimental results demonstrate the ability to compete with the proposed different meta-heuristic algorithms. They can improve the best-known solutions for occurrences inbound and obtain better outcomes for the ant lion optimiser than two other algorithms, with an average improvement of 53.6%. The proposed meta-heuristic outperforms a standard ant lion optimiser algorithm on more significant capacity instances, maintaining solution quality within reasonable CPU times.", "keywords": [ "Heuristics", "Computer science", "Truck", "Renting", "MATLAB", "Meta heuristic", "Software", "Metamodeling", "Ant colony optimization algorithms", "Mathematical optimization", "Operations research", "Algorithm" ], "cited_by_openalex": 1, "cited_by_scopus": "1", "eid": "2-s2.0-85180295472", "pii": null, "open_access_url": "https://doi.org/10.1504/ijvcm.2023.135621", "sources": [ { "db": "openalex", "stream": "TRUCK", "query_id": "TRUCK-3" }, { "db": "scopus", "stream": "TRUCK", "query_id": "TRUCK-3" } ], "streams": [ "TRUCK" ], "relevance_signals": [ "TRUCK_NO_CTX" ], "auto_exclude_reason": "EC-4-topic", "screening_status": "auto_excluded", "screened_by": "auto-v1.0.0" }, { "id": "doi:10.2139/ssrn.4587355", "doi": "10.2139/ssrn.4587355", "title": "A Novel Solid Waste Instance Creation for an Optimized Capacitated Vehicle Routing Model Using Discrete Smell Agent Optimization Algorithm", "year": 2023, "authors": [ "Ahmed salawuddeen", "Olusesi Ayobami Meadows", "Muhammed Bashir Mu’azu", "Basira Yahaya" ], "first_author": "Ahmed salawuddeen", "venue": "SSRN Electronic Journal", "volume": null, "pages": null, "type": "preprint", "language": "en", "abstract": null, "keywords": [ "Vehicle routing problem", "Computer science", "Mathematical optimization", "Routing (electronic design automation)", "Routing algorithm", "Optimization algorithm", "Algorithm", "Mathematics", "Embedded system" ], "cited_by_openalex": 1, "cited_by_scopus": 0, "eid": null, "pii": null, "open_access_url": "https://doi.org/10.2139/ssrn.4587355", "sources": [ { "db": "openalex", "stream": "TRUCK", "query_id": "TRUCK-3" } ], "streams": [ "TRUCK" ], "relevance_signals": [ "NO_TECHNOLOGY_MATCH" ], "auto_exclude_reason": "EC-4-topic", "screening_status": "auto_excluded", "screened_by": "auto-v1.0.0" }, { "id": "doi:10.48550/arxiv.2307.02980", "doi": "10.48550/arxiv.2307.02980", "title": "Constraint Programming models for the parallel drone scheduling vehicle routing problem", "year": 2023, "authors": [ "Roberto Montemanni", "Mauro Dell’Amico" ], "first_author": "Roberto Montemanni", "venue": "arXiv (Cornell University)", "volume": null, "pages": null, "type": "preprint", "language": "en", "abstract": "Drones are currently seen as a viable way for improving the distribution of parcels in urban and rural environments, while working in coordination with traditional vehicles like trucks. In this paper we consider the parallel drone scheduling vehicle routing problem, where the service of a set of customers requiring a delivery is split between a fleet of trucks and a fleet of drones. We consider two variations of the problem. In the first one the problem is more theoretical, and the target is the minimization of the time required to complete the service and have all the vehicles back to the depot. In the second variant more realistic constraints involving operating costs, capacity limitation and workload balance, are considered, and the target is to minimize the total operational costs. We propose several constraint programming models to deal with the two problems. An experimental champaign on the instances previously adopted in the literature is presented to validate the new solving methods. The results show that on top of being a viable way to solve problems to optimality, the models can also be used to derive effective heuristic solutions and high-quality lower bounds for the optimal cost, if the execution is interrupted after its natural end.", "keywords": [ "Computer science", "Vehicle routing problem", "Truck", "Scheduling (production processes)", "Mathematical optimization", "Drone", "Workload", "Constraint programming", "Job shop scheduling", "Operations research", "Heuristic", "Routing (electronic design automation)" ], "cited_by_openalex": 1, "cited_by_scopus": 0, "eid": null, "pii": null, "open_access_url": "https://arxiv.org/pdf/2307.02980", "sources": [ { "db": "openalex", "stream": "TRUCK", "query_id": "TRUCK-3" }, { "db": "openalex", "stream": "UAV", "query_id": "UAV-2" } ], "streams": [ "TRUCK", "UAV" ], "relevance_signals": [ "UAV_NO_CTX", "TRUCK_NO_CTX" ], "auto_exclude_reason": "EC-4-topic", "screening_status": "auto_excluded", "screened_by": "auto-v1.0.0" }, { "id": "doi:10.4236/ojss.2023.1310018", "doi": "10.4236/ojss.2023.1310018", "title": "Review and Analysis: Fate of Arsenic Applied to Canal Shipping Lane Vegetation and United States Military Base Grounds in the Panama Canal Zone", "year": 2023, "authors": [ "Kenneth Ray Olson" ], "first_author": "Kenneth Ray Olson", "venue": "Open Journal of Soil Science", "volume": null, "pages": null, "type": "article", "language": "en", "abstract": "The opening of the Panama Canal in 1913 increased the availability of internationally traded goods and transformed ocean-shipping by shortening travel time between the Atlantic Ocean and Pacific Ocean. The canal sparked the growth of port authorities and increased ship tonnage on both coasts of Panama. Since the construction of the Panama Canal, in the 1910s, pesticides, herbicides and chemicals, including arsenic, have been essential for controlling wetland vegetation, including hyacinth, which blocked rivers, lakes, and the canal as well as managing mosquitoes. Pesticides and chemicals flowed into Lake Gatun (reservoir) either attached to sediment or in solution during the monsoon season. Lake Gatun was the drinking water source for most of the people living in the Panama Canal Zone. The United States military base commanders had the ability to order and use cacodylic acid (arsenic based) from the Naval Depot Supply Federal and Stock Catalog and the later Federal Supply Catalog on the military base grounds in the Panama Canal Zone. Cacodylic acid was shipped to Panama Canal Zone ports, including Balboa and Cristobal, and distributed to the military bases by rail or truck. The objective of this study is to determine the fate of arsenic: 1) applied between 1914 and 1935 to Panama Canal shipping lane hyacinth and other wetland vegetation and 2) cacodylic acid (arsenic) sprayed from 1948 to 1999 on the US military base grounds in the Panama Canal Zone.", "keywords": [ "Panama", "Panama canal", "Vegetation (pathology)", "Environmental science", "Wetland", "Ditch", "Hydrology (agriculture)", "Environmental protection", "Water resource management", "Geology", "Ecology" ], "cited_by_openalex": 1, "cited_by_scopus": 0, "eid": null, "pii": null, "open_access_url": "http://www.scirp.org/journal/PaperDownload.aspx?paperID=128297", "sources": [ { "db": "openalex", "stream": "TRUCK", "query_id": "TRUCK-3" } ], "streams": [ "TRUCK" ], "relevance_signals": [ "TRUCK_NO_CTX" ], "auto_exclude_reason": "EC-4-topic", "screening_status": "auto_excluded", "screened_by": "auto-v1.0.0" }, { "id": "doi:10.33373/sigmateknika.v6i1.5146", "doi": "10.33373/sigmateknika.v6i1.5146", "title": "ISSUES RELATING TO WASTE TRANSPORT SYSTEM IN SEKUPANG BATAM CITY", "year": 2023, "authors": [ "Zures Gustiabani", "Yasyir Syah Lingga" ], "first_author": "Zures Gustiabani", "venue": "SIGMA TEKNIKA", "volume": null, "pages": null, "type": "article", "language": "id", "abstract": "Untuk mencegah agar tempat sampah atau wadah sampah tidak meluap dan sampah terpantau tidak berserakan dijalan, maka diperlukan pengangkutan sampah yang disimpan di depot penampungan sampah secara berkala. Untuk menjaga kondisi higienis di kota, pembuangan sampah di tempah penyimpanan sementara (TPS) harus disediakan. Melihat latar belakang tersbut, maka penelitian dilakukan untuk mengevaluasi system pengangkutan sampah di Kecamatan Sekupang tahun 2022. Pada tahun 2022, Kecamatan Sekupang memiliki luas wilayah 68,30 km2 dengan jumlah penduduk 156.283 jiwa. Peneliatian ini bertujuan untuk menganalisis metode transportasi pengangkutan sampah, pengelolaan transportasi pengangkutan sampah, dan permasalahan terkait dengan transportasi sampah di Kecamatan Sekupang. Metode yang digunakan untuk mengevaluasi permasalahan pengangkutan sampah adalah metode Hauled Container System (HCS), Stationary Container System (SCS), pengumpulan data dengan observasi lapangan, studi literatur, dan studi dokumentasi. Pengamatan dilakukan di 4 lokasi TPS di Kecamatan Sekupang yang akan dibawa ke TPA Punggur. Hasil kajian menunjukkan bahwa proses pengangkutan sampah di Kecamatan Sekupang cocok menggunakan HCS dan SCS. Sedangkan permasalahan yang terjadi adalah kurangnya armada kendaraan pengangkut sampah untuk mengangkut 110 ton per hari. Selain itu, akses jalan kendaraan pengangkut sampah ke TPS atau sumber dari rumah ke rumah tidak memadai sehingga membutuhkan lebih banyak pekerja untuk mengumpulkannya langsung sebelum dimasukkan ke dalam truk. Sehingga dengan penambahan satu unit dump truck berkapasitas 2,5-ton dan satu unit arm roll truck berkapasistas 2-ton untuk 4-unit bak penampung di setiap TPS akan dapat memenuhi kebutuhan pengangkutan sampah yang dihasilkan. Selain itu, dengan akses jalan yang lebih baik dan penambahan kendaraan pengangkut sampah lainnya akan memudahkan proses pengangkutan sampah di Kota Batam.", "keywords": [ "Physics", "Forestry", "Geography" ], "cited_by_openalex": 1, "cited_by_scopus": 0, "eid": null, "pii": null, "open_access_url": "https://www.journal.unrika.ac.id/index.php/sigmateknika/article/download/5146/3538", "sources": [ { "db": "openalex", "stream": "TRUCK", "query_id": "TRUCK-3" } ], "streams": [ "TRUCK" ], "relevance_signals": [ "TRUCK_NO_CTX" ], "auto_exclude_reason": "EC-4", "screening_status": "auto_excluded", "screened_by": "auto-v1.0.0" }, { "id": "doi:10.1162/afar_a_00691", "doi": "10.1162/afar_a_00691", "title": "We Made It in Venice! But Then …? Reversing Notions of Center and Periphery", "year": 2023, "authors": [ "Stephan Köhler" ], "first_author": "Stephan Köhler", "venue": "African Arts", "volume": null, "pages": null, "type": "article", "language": "en", "abstract": "At each Venice Biennale, the visitors get to experience the encounter of independently curated national pavilions and the artistic director's thematic exhibition. The latter is always presented in the same two venues: the Arsenale, a tunnel-like space where in old times ropes for the marine were twisted, and in the central pavilion of the so-called Giardini. This park hosts the national pavilions of the European nations, who are part of the inaugural core group of 1895, whereas the other countries rent sections of the Arsenale and other venues in the city, palazzos or transformed factories for example (see Köhler 2020: 84 for the history of the biennale and distribution of pavilions).Cecilia Alemani was chosen artistic director of this 59th Biennale, which was scheduled to take place in 2021. However, due to the pandemic, the Biennale opened one year later, in 2022. According to Roberto Cicutto, the president of the Venice Biennale, Alemani's choice to focus on the relationship of human bodies to their environment, their fragility, could have to do with this biennial being entirely planned from video conferences and no physical studio visits (Margutti et al. 2022: 39). Alemani wanted to give space to processes of transformation, dissolve rigid distinctions of gender, and break up categories confining notions of human-animal-machine, as she wrote in the introduction of the catalogue (Margutti et al. 2022: 44–45). Of the more than 200 artists she invited, 180 “have never had their work in the International Art Exhibition until now”(Margutti et al. 2022: 44–45) and 80% were women. As a matter of fact, many artworks alluded to human anatomies, be it replicas, or imagined organs, some in action, palpitating with liquids moving around, others in between actions, as the video of a woman cleaning the organs of a rubber sex puppet between clients’ visits demonstrated.1 Five “historical capsules” interspersed in both venues, showed pioneer work of artists2 exploring different forms of “trans” and “post” that, according to Alemani, offered a “web of references” (Margutti et al. 2022: 46) that encouraged the present generation to continue exploring new territories and cross borders.3 The title Milk of Dreams was borrowed from a book by the surrealist artist-writer Leonora Carrington, who stood up for a world of magic and transformation and was sanctioned and marginalized (Margutti et al. 2022: 43).Paintings by Kudzanai-Violet Hwami (Biennale College Scholarship recipient) installed on black and white floor-to-ceiling wallpaper prints welcomed visitors in the first side room of the Giardini venue (Fig. 1). They are based, according to the Short Guide (Mugatti at al. 2022), on photos and sound recordings of funerals and weddings she took on a recent trip to Zimbabwe but also on images taken from the internet.4At the very far end of the Arsenale tunnels, Sandra Mujinga had suspended fragments of coarsely woven costumes at different heights with thin wires, a quartet of sculptures called Mókó, Libwé, Zómi, and Nkáma (Fig. 2). They seemed to dissolve, ripple apart, as loose ends indicated. The even, low-level, green light enhanced the sensation of “things falling apart” (to evoke Achebe 1958). Mujinga's sculptures reminded me of Egungun costumes, which I have seen in Benin during consultation rituals.Even further down, almost at the rear exit of the extended Arsenale grounds, the U.S.born artist and transgender activist Tourmaline showed a multiple-screen video installation called Mary of Ill Fame (2020–2021) a portrait of a Black woman in Seneca Village (now Central Park in New York City) around 1830, who was forced to be a sex worker, accused to have stolen a White man's wallet, unjustly incarcerated, yet succeeded in freeing herself and her companions by reconnecting to her African ancestors’ magical powers (Fig. 3). The continuity of prejudice and racial and (trans)gender discrimination over centuries came across through the intense contrasts of images and soundscapes Tourmaline had created between the ruling bourgeois lifestyle of the masters and the misery of the Black enslaved population.I had chance to participate in the opening ceremony of the Kenya Pavilion in a modified factory (Fig. 4). Speeches by Dr. Amina Mohamed, the minister of culture, the commissioner, were questioned in a spontaneous intervention by Simon Njami, who insisted that political support for art must be unconditional and full hearted. Almost forgotten, curator Jimmy Ogonga and the artists represented in the Pavilion were given space to speak at the end of the session. The very diverse paintings and sculptures by Dickens Otieno, Syowia Kyambi, Kaloki Nyamai, and Wanja Kimani harmonized and showed that they practiced the stipulation of their exhibition's title, Exercises in Conversation.South Africa and Ghana rented (as at the 2019 edition) sections of the Arsenale as the location for their national pavilions. Several countries signed twenty-year contracts with the Biennale for space in this former rope factory and marine depot, which cost, according to unofficial information from the team of the South African Pavilion, around €20 million for ten editions. While the South Africa exhibition was on the second floor of the renovated Sale d'Armi building that hosts about a dozen national presentations, Ghana's was situated on the ground floor at the far end of the rope-making halls (Fig. 5). Black Star—The Museum as Freedom was the title of Ghana's show, curated again by Nana Oforiatta Ayim, who invited three artists to explore processes of decolonization and pan-Africanism. Na Chainka Reindorf presented paintings of Black figures in abstract spaces framed by textile patterns, Afroscope an installation of 1,024 doodles of faces on 8 cm × 8 cm papers and NFTs,5 and Diego Arauja a sound installation. Instead of using elaborate architecture like David Adjaye did in 2019 with his mudwalls, Oseo Asare used the unlit space of the indust", "keywords": [ "Reversing", "Center (category theory)", "Art", "Engineering", "Mechanical engineering", "Chemistry" ], "cited_by_openalex": 1, "cited_by_scopus": 0, "eid": null, "pii": null, "open_access_url": "https://doi.org/10.1162/afar_a_00691", "sources": [ { "db": "openalex", "stream": "TRUCK", "query_id": "TRUCK-3" } ], "streams": [ "TRUCK" ], "relevance_signals": [ "NO_TECHNOLOGY_MATCH" ], "auto_exclude_reason": "EC-4-topic", "screening_status": "auto_excluded", "screened_by": "auto-v1.0.0" }, { "id": "doi:10.1007/978-3-031-29871-4_48", "doi": "10.1007/978-3-031-29871-4_48", "title": "Vertical Trajectory Analysis Using QR Code Detection for Drone Delivery Application", "year": 2023, "authors": [ "Avishkar Seth", "Alice James", "Endrowednes Kuantama", "Subhas Chandra Mukhopadhyay", "Richard Y. Han" ], "first_author": "Avishkar Seth", "venue": "Lecture notes in electrical engineering", "volume": "1035 LNEE", "pages": "476-483", "type": "conference-paper", "language": "en", "abstract": null, "keywords": [ "Drone", "Trajectory", "Computer science", "Real-time computing", "Code (set theory)", "Tracking (education)", "Computer vision", "Artificial intelligence", "Simulation" ], "cited_by_openalex": 5, "cited_by_scopus": "1", "eid": "2-s2.0-85159384619", "pii": null, "open_access_url": "https://doi.org/10.1007/978-3-031-29871-4_48", "sources": [ { "db": "openalex", "stream": "UAV", "query_id": "UAV-1" }, { "db": "scopus", "stream": "UAV", "query_id": "UAV-1" } ], "streams": [ "UAV" ], "relevance_signals": [ "UAV_NO_CTX" ], "auto_exclude_reason": "EC-4-topic", "screening_status": "auto_excluded", "screened_by": "auto-v1.0.0" }, { "id": "doi:10.2139/ssrn.4571161", "doi": "10.2139/ssrn.4571161", "title": "Approximation Algorithms for Drone Delivery Scheduling With a Fixed Number of Drones", "year": 2023, "authors": [ "Saswata Jana", "Partha Sarathi Mandal" ], "first_author": "Saswata Jana", "venue": "SSRN Electronic Journal", "volume": null, "pages": null, "type": "preprint", "language": "en", "abstract": null, "keywords": [ "Drone", "Scheduling (production processes)", "Computer science", "Mathematical optimization", "Algorithm", "Distributed computing", "Mathematics" ], "cited_by_openalex": 1, "cited_by_scopus": 0, "eid": null, "pii": null, "open_access_url": "https://doi.org/10.2139/ssrn.4571161", "sources": [ { "db": "openalex", "stream": "UAV", "query_id": "UAV-1" } ], "streams": [ "UAV" ], "relevance_signals": [ "UAV_NO_CTX" ], "auto_exclude_reason": "EC-4-topic", "screening_status": "auto_excluded", "screened_by": "auto-v1.0.0" }, { "id": "doi:10.1504/ijmor.2023.130109", "doi": "10.1504/ijmor.2023.130109", "title": "Determining the optimal parcel delivery method using one drone and one truck", "year": 2023, "authors": [ "Kazuki Satoh", "Hiroshi Morita" ], "first_author": "Kazuki Satoh", "venue": "International Journal of Mathematics in Operational Research", "volume": "24", "pages": "451-474", "type": "article", "language": "en", "abstract": "Delivering parcels using a combination of drones and trucks represents a promising new package delivery method. In previous studies, several truck/drone delivery planning problems and their solutions have been proposed. However, little research has been done to determine which delivery method is most appropriate. The reason for this is that it is difficult to obtain an exact solution for such problems, and thus the accuracy of the solutions is an issue. In this study, we propose an accurate solution procedure for the flying sidekick travelling salesman problem (FSTSP) and the parallel drone scheduling travelling salesman problem (PDSTSP), and establish which delivery method is most suitable based on the solutions obtained.", "keywords": [ "Drone", "Travelling salesman problem", "Truck", "Computer science", "Scheduling (production processes)", "Mathematical optimization", "Operations research", "Mathematics", "Algorithm", "Aerospace engineering", "Engineering" ], "cited_by_openalex": 1, "cited_by_scopus": "1", "eid": "2-s2.0-85153717801", "pii": null, "open_access_url": "https://doi.org/10.1504/ijmor.2023.130109", "sources": [ { "db": "openalex", "stream": "UAV", "query_id": "UAV-1" }, { "db": "scopus", "stream": "UAV", "query_id": "UAV-1" }, { "db": "scopus", "stream": "UAV", "query_id": "UAV-2" } ], "streams": [ "UAV" ], "relevance_signals": [ "UAV", "TRUCK" ], "auto_exclude_reason": null, "screening_status": "pending_human_screening", "screened_by": "auto-v1.0.0" }, { "id": "doi:10.48550/arxiv.2312.13551", "doi": "10.48550/arxiv.2312.13551", "title": "Elevating Industries with Unmanned Aerial Vehicles: Integrating Sustainability and Operational Innovation", "year": 2023, "authors": [ "Ali Kaan Kurbanzade", "Ansaar M. Baig", "Sanjay Mehrotra" ], "first_author": "Ali Kaan Kurbanzade", "venue": "arXiv (Cornell University)", "volume": null, "pages": null, "type": "preprint", "language": "en", "abstract": "Unmanned aerial vehicles, commonly known as drones, have emerged as a disruptive technology with the potential to revolutionize operations across various industries. Drones are the fast-growing internet-of-things technology and are estimated to have a $100 billion market value in the next decade. Exploring drone operations through research has the potential to yield innovative academic insights and create significant practical effects in diverse industries, offering a competitive edge. Drawing insights from both academic and industry literature, this article describes how technological advancements in UAVs may disrupt traditional operational practices in different industries (e.g., commercial last-mile delivery, commercial pickup and delivery, telecommunication, insurance, healthcare, humanitarian, environmental, urban planning, homeland security), identifies the value of this evolving disruptive technology from sustainability and operational innovation perspectives, argues the significance of this area for operations management by conceptualizing a research agenda. The current state of the art focuses on the computing aspect of analytical models to tackle a variety of synthetic drone-related problems, with mixed integer optimization being the primary tool. There is a very significant research gap that should focus on drone operations management with industry know-how by partnering with actual stakeholders and using a variety of tools (i.e., econometrics, field experiments, game theory, optimal control, utility functions). This article aims to promote research on UAVs from operations management and industry-specific point of view.", "keywords": [ "Drone", "Variety (cybernetics)", "Value proposition", "Homeland security", "Sustainability", "Business", "Competitive advantage", "Disruptive innovation", "Marketing", "Computer science", "Political science" ], "cited_by_openalex": 1, "cited_by_scopus": 0, "eid": null, "pii": null, "open_access_url": "https://arxiv.org/pdf/2312.13551", "sources": [ { "db": "openalex", "stream": "UAV", "query_id": "UAV-1" } ], "streams": [ "UAV" ], "relevance_signals": [ "UAV" ], "auto_exclude_reason": null, "screening_status": "pending_human_screening", "screened_by": "auto-v1.0.0" }, { "id": "doi:10.2139/ssrn.4598462", "doi": "10.2139/ssrn.4598462", "title": "Improved Utaut2 Model for Uav Urban Logistics Delivery Acceptance", "year": 2023, "authors": [ "Xinhui Ren", "Fang Yu", "Hong Jiang" ], "first_author": "Xinhui Ren", "venue": "SSRN Electronic Journal", "volume": null, "pages": null, "type": "preprint", "language": "en", "abstract": null, "keywords": [ "Business", "Process management", "Computer science" ], "cited_by_openalex": 1, "cited_by_scopus": 0, "eid": null, "pii": null, "open_access_url": "https://doi.org/10.2139/ssrn.4598462", "sources": [ { "db": "openalex", "stream": "UAV", "query_id": "UAV-1" } ], "streams": [ "UAV" ], "relevance_signals": [ "UAV" ], "auto_exclude_reason": null, "screening_status": "pending_human_screening", "screened_by": "auto-v1.0.0" }, { "id": "doi:10.1109/ictc58733.2023.10392747", "doi": "10.1109/ictc58733.2023.10392747", "title": "Multi-UAV Employed Secure Parcel Delivery System using Blockchain", "year": 2023, "authors": [ "Ramdhan Nugraha", "Md Masuduzzaman", "Munkyu Choi", "Soo Young Shin" ], "first_author": "Ramdhan Nugraha", "venue": "International Conference on ICT Convergence", "volume": null, "pages": "695-700", "type": "conference-paper", "language": "en", "abstract": "The optimization of parcel delivery services to consumers has become a priority due to the rapid development of the logistics industry, particularly in relation to the primary application of Industry 4.0. It is difficult to maintain trust between a travel company and its consumers. Although many of the current solutions identified in the research address trust issues, most of them are based on centralized architectures, such as cloud computing, where data is vulnerable to a variety of security threats. In this article, a multi-UAV-based secure parcel delivery system using blockchain has been proposed to increase trust among entities. Moreover, genetic algorithms (GA) are exploited to generate routing paths for multiple heterogeneous UAVs. Initially, optimizing fitness function, selection, crossover, and mutation operators are generated by utilizing the GA. The novelty of this research is to propose a secure delivery system using GA for heterogeneous multiple UAVs. Finally, the GA method is constructed to optimize the time constraint issue, and different consensus mechanisms are scrutinized to verify the performance (e.g., latency and average transaction) while storing the parcel delivery information in the blockchain network.", "keywords": [ "Computer science", "Crossover", "Blockchain", "Distributed computing", "Cloud computing", "Database transaction", "Routing (electronic design automation)", "Computer security", "Relation (database)", "Computer network", "Data mining", "Database" ], "cited_by_openalex": 1, "cited_by_scopus": "1", "eid": "2-s2.0-85184620059", "pii": null, "open_access_url": "https://doi.org/10.1109/ictc58733.2023.10392747", "sources": [ { "db": "openalex", "stream": "UAV", "query_id": "UAV-1" }, { "db": "scopus", "stream": "UAV", "query_id": "UAV-1" }, { "db": "scopus", "stream": "UAV", "query_id": "UAV-2" } ], "streams": [ "UAV" ], "relevance_signals": [ "UAV" ], "auto_exclude_reason": null, "screening_status": "pending_human_screening", "screened_by": "auto-v1.0.0" }, { "id": "doi:10.18048/2023.63.02", "doi": "10.18048/2023.63.02", "title": "Utilization of Aerial Drone Technology in Logistics", "year": 2023, "authors": [ "Saša Aksentijević", "Karlo Martišković", "Edvard Tijan", "Marija Jović" ], "first_author": "Saša Aksentijević", "venue": "Journal of Maritime & Transportation Science", "volume": null, "pages": null, "type": "article", "language": "en", "abstract": "In order to create a supply chain that is both economically and ecologically sustainable and complies with contemporary standards, the logistics chain must be modernized and should rely on new technology. In this article, the authors will attempt to elaborate the development direction of delivery systems through examples of technology-oriented companies such as Amazon, focusing on the use of unmanned aerial vehicles (drones) for delivering smaller packages within urban and suburban environments. The main goal of using drones in urban logistics is to reduce the burden on city roads and the use of road vehicles that generate the highest gaseous emissions footprint. The use of drones has proven to be extremely flexible and useful in port logistics as well, eliminating the need to send supply vessels into rough seas or putting people in danger during exhaust emission control. However, drones are a relatively new technology, and they have their own limitations, which are still being discovered. The main constraints of the devices themselves are power sources and the power of the aircraft, which currently and likely in the future won’t be able to transport heavier commercial loads. Increased use leads to congestion in airspace, posing risks to other modes of transportation such as road or air. Research shows that the current use of drones mainly revolves around test flights or limited applications within a regulated environment.", "keywords": [ "Drone", "Aeronautics", "Computer science", "Engineering" ], "cited_by_openalex": 1, "cited_by_scopus": 0, "eid": null, "pii": null, "open_access_url": "https://hrcak.srce.hr/file/442050", "sources": [ { "db": "openalex", "stream": "UAV", "query_id": "UAV-1" } ], "streams": [ "UAV" ], "relevance_signals": [ "UAV" ], "auto_exclude_reason": null, "screening_status": "pending_human_screening", "screened_by": "auto-v1.0.0" }, { "id": "doi:10.54254/2755-2721/9/20230068", "doi": "10.54254/2755-2721/9/20230068", "title": "Analysis of UAV path planning effectiveness and evaluation index scores combined with urban logistics scenarios", "year": 2023, "authors": [ "Jiawei Zhang" ], "first_author": "Jiawei Zhang", "venue": "Applied and Computational Engineering", "volume": null, "pages": null, "type": "article", "language": "en", "abstract": "Using logistics drones for distribution is an optional solution to the problems of saturated logistics industry, insufficient transportation capacity, and high work pressure on employees in real cities. In a realistic urban environment, it is of practical significance to establish a logistics drone path planning model to improve the efficiency of logistics drones by fully considering the multiple requirements of both logistics service parties, such as time and location, and aiming at minimizing transportation costs. Aiming at this problem, this paper analyzes and studies the path planning problem of unmanned aerial vehicles based on the factors that need to be considered in actual life logistics distribution. Firstly, the actual scenario requirements of logistics UAV applications are analyzed and a path planning algorithm for this scenario is enumerated. Subsequently, mathematical models are established from both path planning and customer satisfaction to assess the performance of logistics drones. Then, a comparative analysis of four existing classical path planning algorithms is conducted, and simulated annealing algorithm is used to optimize logistics delivery scenarios for path planning. Finally, combining the mathematical model and simulated annealing algorithm constructed in the previous article, logistics UAV simulation experiments are conducted in urban distribution scenarios and an ideal path planning model is obtained. The work of this article provides a certain reference basis for logistics companies in the application of logistics UAVs and the selection of path planning methods.", "keywords": [ "Simulated annealing", "Motion planning", "Computer science", "Drone", "Operations research", "Path (computing)", "Gray (unit)", "Transport engineering", "Engineering", "Artificial intelligence", "Algorithm" ], "cited_by_openalex": 1, "cited_by_scopus": 0, "eid": null, "pii": null, "open_access_url": "https://www.ewadirect.com/proceedings/ace/article/view/4207/pdf", "sources": [ { "db": "openalex", "stream": "UAV", "query_id": "UAV-1" } ], "streams": [ "UAV" ], "relevance_signals": [ "UAV" ], "auto_exclude_reason": null, "screening_status": "pending_human_screening", "screened_by": "auto-v1.0.0" }, { "id": "doi:10.1007/978-3-031-31066-9_78", "doi": "10.1007/978-3-031-31066-9_78", "title": "The Possibility of Using Drones in the Process of Delivery in the Area of the City of Sarajevo", "year": 2023, "authors": [ "Amel Kosovac", "Adisa Medić", "Muharem Šulić", "Haris Mehičić" ], "first_author": "Amel Kosovac", "venue": "Lecture notes in networks and systems", "volume": "687 LNNS", "pages": "675-682", "type": "conference-paper", "language": "en", "abstract": null, "keywords": [ "Drone", "Last mile (transportation)", "Process (computing)", "Function (biology)", "Supply chain", "Work (physics)", "Business", "Engineering", "Transport engineering", "Architectural engineering", "Computer science", "Geography" ], "cited_by_openalex": 1, "cited_by_scopus": "1", "eid": "2-s2.0-85161201124", "pii": null, "open_access_url": "https://doi.org/10.1007/978-3-031-31066-9_78", "sources": [ { "db": "openalex", "stream": "UAV", "query_id": "UAV-1" }, { "db": "scopus", "stream": "UAV", "query_id": "UAV-1" } ], "streams": [ "UAV" ], "relevance_signals": [ "UAV" ], "auto_exclude_reason": null, "screening_status": "pending_human_screening", "screened_by": "auto-v1.0.0" }, { "id": "doi:10.1007/978-981-99-5056-0_3", "doi": "10.1007/978-981-99-5056-0_3", "title": "Analysis of Geospatial Data Collected by Drones as Part of Aerial Computing", "year": 2023, "authors": [ "Galiveeti Poornima", "Deepak S. Sakkari", "T N Manjunath", "M. A. Sukruth Gowda", "R. Pallavi" ], "first_author": "Galiveeti Poornima", "venue": "Transactions on computer systems and networks", "volume": null, "pages": null, "type": "book-chapter", "language": "en", "abstract": null, "keywords": [ "Drone", "Photogrammetry", "Geospatial analysis", "Plan (archaeology)", "Identification (biology)", "Global Positioning System", "Remote sensing", "Geomatics", "Geography", "Aerial photos", "Aerial photography", "Aerial survey" ], "cited_by_openalex": 1, "cited_by_scopus": 0, "eid": null, "pii": null, "open_access_url": "https://doi.org/10.1007/978-981-99-5056-0_3", "sources": [ { "db": "openalex", "stream": "UAV", "query_id": "UAV-1" } ], "streams": [ "UAV" ], "relevance_signals": [ "UAV_NO_CTX" ], "auto_exclude_reason": "EC-4-topic", "screening_status": "auto_excluded", "screened_by": "auto-v1.0.0" }, { "id": "doi:10.3997/2214-4609.2023510032", "doi": "10.3997/2214-4609.2023510032", "title": "Prototype of Eco-Sustainable Cargo Drone: National and International Regulations and Cost-Benefit Evaluation for Potential Operational Startups", "year": 2023, "authors": [ "E. Genovese", "G. Barrile", "Sonia Calluso" ], "first_author": "E. Genovese", "venue": "International Conference of Young Professionals Geoterrace 2023", "volume": null, "pages": null, "type": "conference-paper", "language": "en", "abstract": "Summary Cargo drone technology has disrupted traditional logistics, eliminating human-operated vehicles. Advancements in unmanned aerial systems have led to sophisticated drones equipped with advanced sensors, navigation capabilities, and obstacle avoidance mechanisms. These drones are employed in different sectors, from last-mile deliveries to critical medical supply transportation, showcasing their versatility and potential impact. However, regulatory frameworks pose challenges, particularly in urban environments. Complexities such as battery endurance and adverse weather performance remain significant hurdles. Despite these obstacles, substantial investments are being directed toward the research and development of cargo drone solutions. This study centres on an experimental eco-sustainable cargo drone prototype, highlighting its technical attributes. The investigation extends to dissecting regulatory intricacies, both domestically and internationally. Furthermore, the feasibility of establishing a startup based on this technology is evaluated. This research encapsulates the converging domains of drone technology, regulatory dynamics, and entrepreneurial opportunities.", "keywords": [ "Drone", "Obstacle", "Business", "Risk analysis (engineering)", "Transport engineering", "Aeronautics", "Engineering" ], "cited_by_openalex": 1, "cited_by_scopus": "1", "eid": "2-s2.0-85193231526", "pii": null, "open_access_url": "http://dx.doi.org/10.3997/2214-4609.2023510032", "sources": [ { "db": "openalex", "stream": "UAV", "query_id": "UAV-1" }, { "db": "scopus", "stream": "UAV", "query_id": "UAV-1" } ], "streams": [ "UAV" ], "relevance_signals": [ "UAV" ], "auto_exclude_reason": null, "screening_status": "pending_human_screening", "screened_by": "auto-v1.0.0" }, { "id": "doi:10.1007/978-981-99-6874-9_13", "doi": "10.1007/978-981-99-6874-9_13", "title": "Assessing Drone-Based Last-Mile Logistics—A Hybrid Solution", "year": 2023, "authors": [ "Bruno Lamiscarre", "Innocent E. A. Davidson", "Georges Mykoniatis", "Luis Gustavo Zelaya Cruz", "Félix Mora‐Camino" ], "first_author": "Bruno Lamiscarre", "venue": "Lecture notes in mechanical engineering", "volume": null, "pages": "161-171", "type": "conference-paper", "language": "en", "abstract": null, "keywords": [ "Last mile (transportation)", "Transport engineering", "Metropolitan area", "City logistics", "Drone", "Operations research", "Computer science", "Service level", "Business", "Mile", "Engineering", "Geography" ], "cited_by_openalex": 0, "cited_by_scopus": "1", "eid": "2-s2.0-85177817731", "pii": null, "open_access_url": "https://doi.org/10.1007/978-981-99-6874-9_13", "sources": [ { "db": "openalex", "stream": "UAV", "query_id": "UAV-1" }, { "db": "scopus", "stream": "UAV", "query_id": "UAV-1" }, { "db": "scopus", "stream": "UAV", "query_id": "UAV-2" } ], "streams": [ "UAV" ], "relevance_signals": [ "UAV" ], "auto_exclude_reason": null, "screening_status": "pending_human_screening", "screened_by": "auto-v1.0.0" }, { "id": "doi:10.1109/hpcc-dss-smartcity-dependsys60770.2023.00086", "doi": "10.1109/hpcc-dss-smartcity-dependsys60770.2023.00086", "title": "Personalized Federated Learning Framework for Person Re-identification in MEC-enabled UAV Delivery Services", "year": 2023, "authors": [ "Yi Xu", "Zhipeng Wang", "Jonathan Kua", "Haoyu Luo", "Ruyi Guo", "Xiao Liu" ], "first_author": "Yi Xu", "venue": "Proceedings 2023 IEEE International Conference on High Performance Computing and Communications Data Science and Systems Smart City and Dependability in Sensor Cloud and Big Data Systems and Application Hpcc Dss Smartcity Dependsys 2023", "volume": null, "pages": "1020-1027", "type": "conference-paper", "language": "en", "abstract": "Unmanned Aerial Vehicle (UA V) based last-mile delivery is considered as a highly promising solution in smart logistics. To provide effective delivery service, it is crucial to ensure accurate positioning and identification of the UA V goods receiver in a timely fashion. However, insufficient data captured by onboard UAV cameras makes it challenging to guarantee the performance of those recognition models. Moreover, using data collected from public cameras and other devices for model training may lead to privacy concerns. To address these issues, this paper proposes a personalized federated learning framework named LP-Fed (Location-Aware Pixel Personalized Federated Learning) under the edge computing architecture. Building upon this framework, a person re-identification solution tailored to edge computing environment is implemented. This solution aims to enhance the precision of UAV-based goods receiver positioning and identification by leveraging multiple data sources while protecting data privacy. Specifically, LP-Fed employs a position-pixel attention module to adaptively aggregate the global models and local models, addressing feature disparities from various data sources at the edge. In addition, the introduction of model relevance indicators can dynamically adjust the aggregation weights of model parameters. Experimental results demonstrate that LP-Fed can significantly improve the model accuracy across eight representative person re-identification datasets while ensuring data privacy.", "keywords": [ "Computer science", "Identification (biology)", "Human–computer interaction", "World Wide Web" ], "cited_by_openalex": 2, "cited_by_scopus": "1", "eid": "2-s2.0-85189861951", "pii": null, "open_access_url": "https://figshare.com/articles/conference_contribution/Personalized_Federated_Learning_Framework_for_Person_Re-identification_in_MEC-enabled_UAV_Delivery_Services/25697994", "sources": [ { "db": "openalex", "stream": "UAV", "query_id": "UAV-1" }, { "db": "scopus", "stream": "UAV", "query_id": "UAV-1" } ], "streams": [ "UAV" ], "relevance_signals": [ "UAV" ], "auto_exclude_reason": null, "screening_status": "pending_human_screening", "screened_by": "auto-v1.0.0" }, { "id": "doi:10.1038/s41598-023-41725-x", "doi": "10.1038/s41598-023-41725-x", "title": "Author Correction: Critical assessment of emissions, costs, and time for last-mile goods delivery by drones versus truck", "year": 2023, "authors": [ "Aishwarya Raghunatha", "Emma Lindkvist", "Patrik Thollander", "Erika Hansson", "Greta Jonsson" ], "first_author": "Aishwarya Raghunatha", "venue": "Scientific Reports", "volume": "13", "pages": null, "type": "erratum", "language": "en", "abstract": "The original version of this Article contained an error in Figure 15, where the values for vertical and horizontal speed in the cruise phase and the vertical speed in the hover phase for landing were incorrect.", "keywords": [ "Truck", "Mile", "Drone", "Last mile (transportation)", "Aeronautics", "Computer science", "Transport engineering", "Environmental science", "Business", "Engineering", "Automotive engineering", "Geography" ], "cited_by_openalex": 0, "cited_by_scopus": "1", "eid": "2-s2.0-85169697546", "pii": null, "open_access_url": "https://www.nature.com/articles/s41598-023-41725-x.pdf", "sources": [ { "db": "openalex", "stream": "UAV", "query_id": "UAV-1" }, { "db": "scopus", "stream": "UAV", "query_id": "UAV-1" } ], "streams": [ "UAV" ], "relevance_signals": [ "UAV", "TRUCK" ], "auto_exclude_reason": null, "screening_status": "pending_human_screening", "screened_by": "auto-v1.0.0" }, { "id": "doi:10.3920/978-90-8686-943-5_10", "doi": "10.3920/978-90-8686-943-5_10", "title": "Responsible civilian drones", "year": 2023, "authors": [ "Bart F.W. Wernaart", "Roberta Vaznyte", "Melchior B.C.J. van Velzen", "Isa L.G. Dantuma" ], "first_author": "Bart F.W. Wernaart", "venue": "Applied Human Rights", "volume": null, "pages": "151-164", "type": "book-chapter", "language": "en", "abstract": "Drones, or unmanned aerial systems, are increasingly used in public spaces, in particular in the context of so-called ‘smart cities’. Drone technology is rapidly innovating, and its hypothetical use in the near future is promising. Drones can be exploited for public and business purposes, e.g. for emergency medication delivery, general last mile delivery, building inspections, the cleaning of solar panels, agricultural applications, surveillance and so on. However, there are some challenges and concerns that relate to fundamental human rights. First, there is the risk of dual use: drones have a military origin, and this technology is now being further used and developed in a civilian setting. The values embodied in these technologies do not automatically reflect societal needs. Furthermore, there are technological challenges that need to be overcome in order to successfully exploit commercial drone services. These challenges make the near-future use of drones an uncertain phenomenon for the average citizen. Third, there is the perception of citizens: while there is some technological optimism, there are grave concerns about privacy and safety, and a call for clear regulation of drone flights. However, it seems that regulators are struggling to keep pace with the innovation. Recent EU initiatives to regulate the so-called U-space give us a glimpse of what the legal concepts will look like in the near future. To conclude, we strongly emphasise the importance of the citizen’s voice in the design process of new drone technologies and services. We offer some Eindhoven-based (the Netherlands) examples of joint research initiatives into which we integrate the values of citizens in drone development.", "keywords": [ "Drone", "Context (archaeology)", "Pace", "Exploit", "Business", "Engineering", "Computer security", "Political science", "Internet privacy", "Computer science", "Geography" ], "cited_by_openalex": 0, "cited_by_scopus": "1", "eid": "2-s2.0-85199666377", "pii": null, "open_access_url": "https://brill.com/downloadpdf/book/9789086869435/BP000011.pdf", "sources": [ { "db": "openalex", "stream": "UAV", "query_id": "UAV-1" }, { "db": "scopus", "stream": "UAV", "query_id": "UAV-1" } ], "streams": [ "UAV" ], "relevance_signals": [ "UAV" ], "auto_exclude_reason": null, "screening_status": "pending_human_screening", "screened_by": "auto-v1.0.0" }, { "id": "doi:10.1109/icaiccit60255.2023.10465955", "doi": "10.1109/icaiccit60255.2023.10465955", "title": "Advanced Aerial Network Nodes for Next-Generation Wireless Infrastructure", "year": 2023, "authors": [ "Abhirup Bhawal", "M K Ranganathaswamy", "Trapty Agrawal" ], "first_author": "Abhirup Bhawal", "venue": "2023 International Conference on Advances in Computation Communication and Information Technology Icaiccit 2023", "volume": null, "pages": "797-801", "type": "conference-paper", "language": "en", "abstract": "This study explores the use of drones with mobile capacity as airborne hubs for connection to the last mile, highlighting the requirement of high-fidelity, low-latency communications. The main goal is to improve on-demand connection to the internet by using Future Aerial Networks (FANETs), which group drone as handheld intermediaries. The research thoroughly examines important factors such energy availability, flexibility, communication effectiveness while ideal node placement, and adaptable optimizations. This study work’s basic core is deeply shaped by these components. The study also improves the fundamental ideas of mobile network architecture to accommodate novel app possibilities and reduce operating expenses associated with various ad hoc installs. The thoroughness of this research opens the door for new transmission concepts by illuminating the advantages and difficulties of using drone-based overhead intermediaries.", "keywords": [ "Computer network", "Computer science", "Wireless network", "Wireless", "Telecommunications" ], "cited_by_openalex": 1, "cited_by_scopus": "1", "eid": "2-s2.0-85189880213", "pii": null, "open_access_url": "https://doi.org/10.1109/icaiccit60255.2023.10465955", "sources": [ { "db": "openalex", "stream": "UAV", "query_id": "UAV-1" }, { "db": "scopus", "stream": "UAV", "query_id": "UAV-1" } ], "streams": [ "UAV" ], "relevance_signals": [ "UAV" ], "auto_exclude_reason": null, "screening_status": "pending_human_screening", "screened_by": "auto-v1.0.0" }, { "id": "doi:10.1109/cama57522.2023.10352898", "doi": "10.1109/cama57522.2023.10352898", "title": "Characterization of the propagation channel for urban UAV applications", "year": 2023, "authors": [ "Marwan El Hajj", "Gheorghe Zaharia", "Ghaïs El Zein", "Nathalie Banoun" ], "first_author": "Marwan El Hajj", "venue": "IEEE Conference on Antenna Measurements and Applications Cama", "volume": null, "pages": "681-686", "type": "conference-paper", "language": "en", "abstract": "To meet the large demand for online orders in the last years, especially after the COVID-pandemic, a new paradigm of parcel delivery is in progress deployment. It’s the drones-delivery. In this work, we provide a statistical propagation model for the Air-to-Ground (A2G) path loss between an Unmanned Aerial Vehicle (UAV) and a ground terminal. The model is based on urban microcell characteristics. The simulations were carried out using the NYUSIM simulator at two frequency bands: 2.4 GHz and 5.8 GHz. Moreover, two scenarios were considered for simulations: the line of sight (LOS) and the non-line of sight (NLOS). The path loss function of distance, the excessive path loss, the RMS delay spread, and coherence bandwidth were studied in this paper.", "keywords": [ "Computer science", "Channel (broadcasting)", "Characterization (materials science)", "Electronic engineering", "Computer network", "Engineering", "Physics", "Optics" ], "cited_by_openalex": 0, "cited_by_scopus": "1", "eid": "2-s2.0-85182277372", "pii": null, "open_access_url": "https://hal.science/hal-04384952/document", "sources": [ { "db": "openalex", "stream": "UAV", "query_id": "UAV-1" }, { "db": "scopus", "stream": "UAV", "query_id": "UAV-1" } ], "streams": [ "UAV" ], "relevance_signals": [ "UAV" ], "auto_exclude_reason": null, "screening_status": "pending_human_screening", "screened_by": "auto-v1.0.0" }, { "id": "doi:10.1007/978-981-99-4444-6_22", "doi": "10.1007/978-981-99-4444-6_22", "title": "Design and Development of Autonomous VTOL for Medicine Deliveries in Hilly Areas", "year": 2023, "authors": [ "K. Jeevan", "V. Mukesh Kumar", "S. Pranav", "E S Manish", "Chandra Singh" ], "first_author": "K. Jeevan", "venue": "Lecture notes in electrical engineering", "volume": "1062 LNEE", "pages": "297-307", "type": "conference-paper", "language": "en", "abstract": null, "keywords": [ "Payload (computing)", "Aeronautics", "Fixed wing", "Aerospace engineering", "Folding (DSP implementation)", "Engineering", "Computer science", "Wing", "Simulation", "Marine engineering", "Mechanical engineering", "Computer network" ], "cited_by_openalex": 1, "cited_by_scopus": "1", "eid": "2-s2.0-85171552876", "pii": null, "open_access_url": "https://doi.org/10.1007/978-981-99-4444-6_22", "sources": [ { "db": "openalex", "stream": "UAV", "query_id": "UAV-1" }, { "db": "scopus", "stream": "UAV", "query_id": "UAV-1" } ], "streams": [ "UAV" ], "relevance_signals": [ "NO_TECHNOLOGY_MATCH" ], "auto_exclude_reason": "EC-4-topic", "screening_status": "auto_excluded", "screened_by": "auto-v1.0.0" }, { "id": "doi:10.2322/tastj.21.a9", "doi": "10.2322/tastj.21.a9", "title": "The Overview for Development of Korea Electric Unmanned Helicopter (K-EUH) with MTOW 125 kg", "year": 2023, "authors": [ "D.H. Kim", "Sanghyun Chae" ], "first_author": "D.H. Kim", "venue": "TRANSACTIONS OF THE JAPAN SOCIETY FOR AERONAUTICAL AND SPACE SCIENCES AEROSPACE TECHNOLOGY JAPAN", "volume": null, "pages": null, "type": "article", "language": "en", "abstract": "The development program of the first Korea Electric Unmanned Helicopter (K-EUH) with maximum take-off weight (MTOW) 125 kg, payload 20 kg, flight distance 60 km and flight time 30 min was initiated in 2019 to prepare future eco-environmental VTOL vehicle for urban parcel delivery service and urban air mobility service as a part of national UAM and drone service market promotion in Korea. For this K-EUH program, KARI selected the baseline of unmanned helicopter named as SD-110 helicopter with MTOW 110 kg and gasoline engine. KARI had studied the existing electric helicopter development examples, electric motor for drone and battery system for electric vehicle. In this paper, the general overview for development of Korea electric unmanned helicopter with MTOW 125 kg was described. The main development activities such as design, analysis, fabrication and test were explained in detail. Finally, the flight demonstration was introduced. In this project, KARI have developed key technologies of electric unmanned helicopter such as battery management system, power management system and electric unmanned helicopter vehicle.", "keywords": [ "Payload (computing)", "Battery electric vehicle", "Service (business)", "Automotive engineering", "Drone", "Aeronautics", "Battery (electricity)", "Electric vehicle", "Engineering", "Environmental science", "Transport engineering", "Computer science" ], "cited_by_openalex": 1, "cited_by_scopus": 0, "eid": null, "pii": null, "open_access_url": "https://www.jstage.jst.go.jp/article/tastj/21/APISAT-2022/21_21.a9/_pdf", "sources": [ { "db": "openalex", "stream": "UAV", "query_id": "UAV-1" } ], "streams": [ "UAV" ], "relevance_signals": [ "UAV" ], "auto_exclude_reason": null, "screening_status": "pending_human_screening", "screened_by": "auto-v1.0.0" }, { "id": "doi:10.1109/icetci57876.2023.10176922", "doi": "10.1109/icetci57876.2023.10176922", "title": "Dynamic Resource Allocation Algorithm for UAV Emergency Communication Network Based on Energy Balance", "year": 2023, "authors": [ "Jinyu Wang" ], "first_author": "Jinyu Wang", "venue": "2023 IEEE 3rd International Conference on Electronic Technology Communication and Information Icetci 2023", "volume": null, "pages": "620-626", "type": "conference-paper", "language": "en", "abstract": "With the development of network communication, wireless networks are increasingly demanding architectures that support high throughput, super reliability, low energy consumption, and diverse applications. Due to the progress of UAV technology and the reduction of cost, the global market of UAV has developed rapidly in the past decade, and its market space and application potential are huge. Unmanned aerial vehicle (UAV) has high flexibility and rapid deployment ability, and can provide flexible and efficient services for emergency communication and post-disaster rescue. Unmanned aerial vehicle (UAV)-assisted wireless network can greatly improve the system performance by dynamically adjusting its position, thus overcoming the related defects caused by the fixed traditional wireless communication architecture. Unmanned aerial vehicle (UAV) has unique flexibility, maneuverability and can work normally in complex environmental conditions, etc. At present, many human applications that cannot be directly realized in dangerous areas rely on UAV, which has attracted more and more attention. UAV has developed many applications in fields such as aerial surveillance, aerial photography, precision agriculture, traffic control, search and rescue, parcel delivery, telecommunications and so on. Network management is to cope with the increasing complexity of the network, liberate manpower from tedious machine management, and save manpower cost. At present, the information about network management in emergency communication system is limited. As an important part of the emergency communication system, the network management system has great practical significance for improving the information level, reducing the losses in the affected areas and saving the lives of the affected people.", "keywords": [ "Flexibility (engineering)", "Computer science", "Software deployment", "Wireless network", "Emergency management", "Wireless", "Telecommunications network", "Energy consumption", "Situation awareness", "Computer network", "Telecommunications", "Engineering" ], "cited_by_openalex": 0, "cited_by_scopus": "1", "eid": "2-s2.0-85166468739", "pii": null, "open_access_url": "http://dx.doi.org/10.1109/icetci57876.2023.10176922", "sources": [ { "db": "openalex", "stream": "UAV", "query_id": "UAV-1" }, { "db": "scopus", "stream": "UAV", "query_id": "UAV-1" } ], "streams": [ "UAV" ], "relevance_signals": [ "UAV" ], "auto_exclude_reason": null, "screening_status": "pending_human_screening", "screened_by": "auto-v1.0.0" }, { "id": "doi:10.3390/drones7070435", "doi": "10.3390/drones7070435", "title": "Drone Optimization in Factory: Exploring the Minimal Level Vehicle Routing Problem for Efficient Material Distribution", "year": 2023, "authors": [ "Iván Dérpich", "Carlos Rey" ], "first_author": "Iván Dérpich", "venue": "Drones", "volume": "7", "pages": null, "type": "article", "language": "en", "abstract": "The efficient movement of raw materials within organizations is fundamental to maintaining the seamless progression of production processes. However, these logistical operations can inadvertently compromise overall company efficiency, primarily due to the substantial time invested in transporting materials. This paper introduces an innovative mathematical model specifically designed to optimize the transport of raw materials via drones across multiple workstations. This model employs a novel modification of the traditional multi-level Vehicle Routing Problem by incorporating an additional index and accounting for the drone’s energy consumption. We employ a widely-recognized solver for practical resolution and compare it with a heuristic algorithm. The resultant strategies offer promising prospects for the organization studied, introducing robust solutions for elevating the efficiency of raw material transportation.", "keywords": [ "Drone", "Solver", "Computer science", "Factory (object-oriented programming)", "Workstation", "Heuristic", "Routing (electronic design automation)", "Vehicle routing problem", "Raw material", "Production (economics)", "Industrial engineering", "Mathematical optimization" ], "cited_by_openalex": 2, "cited_by_scopus": "1", "eid": "2-s2.0-85166301633", "pii": null, "open_access_url": "https://www.mdpi.com/2504-446X/7/7/435/pdf?version=1688371755", "sources": [ { "db": "openalex", "stream": "UAV", "query_id": "UAV-2" }, { "db": "scopus", "stream": "UAV", "query_id": "UAV-2" } ], "streams": [ "UAV" ], "relevance_signals": [ "UAV_NO_CTX" ], "auto_exclude_reason": "EC-4-topic", "screening_status": "auto_excluded", "screened_by": "auto-v1.0.0" }, { "id": "doi:10.1007/978-3-031-15412-6_11", "doi": "10.1007/978-3-031-15412-6_11", "title": "Two-Echelon Vehicle Routing Problem for Agricultural Area Mapping Operation with Drone", "year": 2023, "authors": [ "A. A. N. Pewira Redi", "Muhammad Reza Chandra Kusuma", "Bertha Maya Sopha", "Anna Maria Sri Asih", "Rahmad Inca Liperda" ], "first_author": "A. A. N. Pewira Redi", "venue": "Ecoproduction", "volume": null, "pages": null, "type": "book-chapter", "language": "en", "abstract": null, "keywords": [ "Drone", "Routing (electronic design automation)", "Vehicle routing problem", "Agriculture", "Computer science", "Operations research", "Aeronautics", "Engineering", "Transport engineering", "Geography", "Computer network", "Archaeology" ], "cited_by_openalex": 1, "cited_by_scopus": 0, "eid": null, "pii": null, "open_access_url": "https://doi.org/10.1007/978-3-031-15412-6_11", "sources": [ { "db": "openalex", "stream": "UAV", "query_id": "UAV-2" } ], "streams": [ "UAV" ], "relevance_signals": [ "UAV_NO_CTX" ], "auto_exclude_reason": "EC-4-topic", "screening_status": "auto_excluded", "screened_by": "auto-v1.0.0" }, { "id": "doi:10.1109/iros55552.2023.10342311", "doi": "10.1109/iros55552.2023.10342311", "title": "Decision-Oriented Learning with Differentiable Submodular Maximization for Vehicle Routing Problem", "year": 2023, "authors": [ "Guangyao Shi", "Pratap Tokekar" ], "first_author": "Guangyao Shi", "venue": "IEEE International Conference on Intelligent Robots and Systems", "volume": null, "pages": "11135-11140", "type": "conference-paper", "language": "en", "abstract": "We study the problem of learning a function that maps context observations (input) to parameters of a submodular function (output). Our motivating case study is a specific type of vehicle routing problem, in which a team of Unmanned Ground Vehicles (UGVs) can serve as mobile charging stations to recharge a team of Unmanned Ground Vehicles (UAVs) that execute persistent monitoring tasks. We want to learn the mapping from observations of UAV task routes and wind field to the parameters of a submodular objective function, which describes the distribution of landing positions of the UAVs. Traditionally, such a learning problem is solved independently as a prediction phase without considering the downstream task optimization phase. However, the loss function used in prediction may be misaligned with our final goal, i.e., a good routing decision. Good performance in the isolated prediction phase does not necessarily lead to good decisions in the downstream routing task. In this paper, we propose a framework that incorporates task optimization as a differentiable layer in the prediction phase. Our framework allows end-to-end training of the prediction model without using engineered intermediate loss that is targeted only at the prediction performance. In the proposed framework, task optimization (submodular maximization) is made differentiable by introducing stochastic perturbations into deterministic algorithms (i.e., stochastic smoothing). We demonstrate the efficacy of the proposed framework using synthetic data. Experimental results of the mobile charging station routing problem show that the proposed framework can result in better routing decisions, e.g. the average number of UAVs recharged increases, compared to the prediction-optimization separate approach.", "keywords": [ "Submodular set function", "Computer science", "Routing (electronic design automation)", "Smoothing", "Mathematical optimization", "Vehicle routing problem", "Task (project management)", "Maximization", "Context (archaeology)", "Optimization problem", "Function (biology)", "Artificial intelligence" ], "cited_by_openalex": 2, "cited_by_scopus": "1", "eid": "2-s2.0-85174877730", "pii": null, "open_access_url": "http://dx.doi.org/10.1109/iros55552.2023.10342311", "sources": [ { "db": "openalex", "stream": "UAV", "query_id": "UAV-2" }, { "db": "scopus", "stream": "UAV", "query_id": "UAV-2" } ], "streams": [ "UAV" ], "relevance_signals": [ "UAV_NO_CTX" ], "auto_exclude_reason": "EC-4-topic", "screening_status": "auto_excluded", "screened_by": "auto-v1.0.0" }, { "id": "doi:10.2139/ssrn.4619458", "doi": "10.2139/ssrn.4619458", "title": "A Modelling and Solution Approach for Wind-Affected Drone-Truck Routing Problem Under Uncertainty", "year": 2023, "authors": [ "Mersedeh Dodge", "S.A. MirHassani", "Farnaz Hooshmand" ], "first_author": "Mersedeh Dodge", "venue": "SSRN Electronic Journal", "volume": null, "pages": null, "type": "preprint", "language": "en", "abstract": null, "keywords": [ "Drone", "Truck", "Routing (electronic design automation)", "Computer science", "Marine engineering", "Aeronautics", "Mathematical optimization", "Aerospace engineering", "Engineering", "Mathematics", "Computer network" ], "cited_by_openalex": 1, "cited_by_scopus": 0, "eid": null, "pii": null, "open_access_url": "https://doi.org/10.2139/ssrn.4619458", "sources": [ { "db": "openalex", "stream": "UAV", "query_id": "UAV-2" } ], "streams": [ "UAV" ], "relevance_signals": [ "UAV_NO_CTX", "TRUCK_NO_CTX" ], "auto_exclude_reason": "EC-4-topic", "screening_status": "auto_excluded", "screened_by": "auto-v1.0.0" }, { "id": "doi:10.1007/978-3-031-48751-4_17", "doi": "10.1007/978-3-031-48751-4_17", "title": "Optimal Route for Drone for Monitoring of Crop Yields", "year": 2023, "authors": [ "Tatiana Makarovskikh", "Anatoly V. Panyukov", "Mostafa Salaheldin Abdelsalam Abotaleb", "В Ф Максимова", "Olga Dernova", "Eugeny Raschupkin" ], "first_author": "Tatiana Makarovskikh", "venue": "Communications in computer and information science", "volume": "1913 CCIS", "pages": "228-240", "type": "conference-paper", "language": "en", "abstract": null, "keywords": [ "Drone", "Travelling salesman problem", "Operator (biology)", "Computer science", "Trajectory", "Task (project management)", "Routing (electronic design automation)", "Operations research", "Real-time computing", "Mathematical optimization", "Mathematics", "Algorithm" ], "cited_by_openalex": 2, "cited_by_scopus": "1", "eid": "2-s2.0-85180632857", "pii": null, "open_access_url": "https://doi.org/10.1007/978-3-031-48751-4_17", "sources": [ { "db": "openalex", "stream": "UAV", "query_id": "UAV-2" }, { "db": "scopus", "stream": "UAV", "query_id": "UAV-2" } ], "streams": [ "UAV" ], "relevance_signals": [ "UAV_NO_CTX" ], "auto_exclude_reason": "EC-4-topic", "screening_status": "auto_excluded", "screened_by": "auto-v1.0.0" }, { "id": "doi:10.1007/978-3-031-36808-0_10", "doi": "10.1007/978-3-031-36808-0_10", "title": "Investigating Alternative Clustering Algorithms for a Cluster-First, Route-Second Truck and Drone Scheduling Algorithm", "year": 2023, "authors": [ "Sarah Dillon", "Rudolf Ernst", "Jacomine Grobler" ], "first_author": "Sarah Dillon", "venue": "Lecture notes in computer science", "volume": "13957 LNCS", "pages": "147-162", "type": "conference-paper", "language": "en", "abstract": null, "keywords": [ "Cluster analysis", "Computer science", "Drone", "Vehicle routing problem", "Travelling salesman problem", "Algorithm", "Truck", "Data mining", "Mathematical optimization", "Routing (electronic design automation)", "Artificial intelligence", "Mathematics" ], "cited_by_openalex": 2, "cited_by_scopus": "1", "eid": "2-s2.0-85165054739", "pii": null, "open_access_url": "https://doi.org/10.1007/978-3-031-36808-0_10", "sources": [ { "db": "openalex", "stream": "UAV", "query_id": "UAV-2" }, { "db": "scopus", "stream": "UAV", "query_id": "UAV-2" } ], "streams": [ "UAV" ], "relevance_signals": [ "UAV_NO_CTX", "TRUCK_NO_CTX" ], "auto_exclude_reason": "EC-4-topic", "screening_status": "auto_excluded", "screened_by": "auto-v1.0.0" }, { "id": "doi:10.1007/s10601-023-09355-2", "doi": "10.1007/s10601-023-09355-2", "title": "Constraint programming approaches to electric vehicle and robot routing problems", "year": 2023, "authors": [ "Kyle E. C. Booth" ], "first_author": "Kyle E. C. Booth", "venue": "Constraints", "volume": null, "pages": null, "type": "article", "language": "en", "abstract": null, "keywords": [ "Electric vehicle", "Greenhouse gas", "Robot", "Mobile robot", "Computer science", "Battery (electricity)", "Variety (cybernetics)", "Investment (military)", "Electric motor", "Vehicle routing problem", "Automotive engineering", "Routing (electronic design automation)" ], "cited_by_openalex": 1, "cited_by_scopus": 0, "eid": null, "pii": null, "open_access_url": "https://utoronto.scholaris.ca/bitstreams/3265fa87-3652-4c14-917a-8c6e4adfa2c6/download", "sources": [ { "db": "openalex", "stream": "UAV", "query_id": "UAV-2" } ], "streams": [ "UAV" ], "relevance_signals": [ "NO_TECHNOLOGY_MATCH" ], "auto_exclude_reason": "EC-4-topic", "screening_status": "auto_excluded", "screened_by": "auto-v1.0.0" }, { "id": "doi:10.17798/bitlisfen.1323976", "doi": "10.17798/bitlisfen.1323976", "title": "A constructive heuristic for the heterogeneous drone delivery problem that considers packages' setups and battery capacity with the aim of minimizing weighted total waiting times of customers", "year": 2023, "authors": [ "Murat Şahin" ], "first_author": "Murat Şahin", "venue": "Bitlis Eren Üniversitesi Fen Bilimleri Dergisi", "volume": null, "pages": null, "type": "article", "language": "en", "abstract": "This article considers the heterogeneous drone routing problem, which takes into account the setup times of customers’ packages and aims to minimize the weighted total waiting times of customers. Cases where drones differ from each other in terms of battery capacity, carrying capacity, speed and load capacity have been handled. The battery capacity has been associated with the payload carried by the drone as long as it stays in the air. A constructive heuristic has been suggested and many test instances have been used to show how the efficiency of the algorithm changes when different priority values are used. As a result, it has been seen that good solutions can be obtained by assigning the light customer packages to the fast drones for the given test instances by using the suggested constructive heuristic.", "keywords": [ "Drone", "Constructive", "Heuristic", "Payload (computing)", "Computer science", "Battery (electricity)", "Mathematical optimization", "Battery capacity", "Routing (electronic design automation)", "Operations research", "Process (computing)", "Mathematics" ], "cited_by_openalex": 1, "cited_by_scopus": 0, "eid": null, "pii": null, "open_access_url": "https://doi.org/10.17798/bitlisfen.1323976", "sources": [ { "db": "openalex", "stream": "UAV", "query_id": "UAV-2" } ], "streams": [ "UAV" ], "relevance_signals": [ "UAV_NO_CTX" ], "auto_exclude_reason": "EC-4-topic", "screening_status": "auto_excluded", "screened_by": "auto-v1.0.0" }, { "id": "doi:10.1007/978-3-031-49529-8_22", "doi": "10.1007/978-3-031-49529-8_22", "title": "The Vehicle Routing Problem with Drones for Fresh Agricultural Products", "year": 2023, "authors": [ "Quang Huy Vuong", "Trung-Nghia Phung", "Minh-Trien Pham" ], "first_author": "Quang Huy Vuong", "venue": "Lecture notes in networks and systems", "volume": "847 LNNS", "pages": "206-214", "type": "conference-paper", "language": "en", "abstract": null, "keywords": [ "Perishability", "Drone", "Vehicle routing problem", "Integer programming", "Routing (electronic design automation)", "Agriculture", "Computer science", "Heuristic", "Mathematical optimization", "Linear programming", "Operations research", "Quality (philosophy)" ], "cited_by_openalex": 0, "cited_by_scopus": "1", "eid": "2-s2.0-85180159032", "pii": null, "open_access_url": "https://doi.org/10.1007/978-3-031-49529-8_22", "sources": [ { "db": "openalex", "stream": "UAV", "query_id": "UAV-2" }, { "db": "scopus", "stream": "UAV", "query_id": "UAV-2" } ], "streams": [ "UAV" ], "relevance_signals": [ "UAV_NO_CTX" ], "auto_exclude_reason": "EC-4-topic", "screening_status": "auto_excluded", "screened_by": "auto-v1.0.0" }, { "id": "doi:10.1109/ccdc58219.2023.10327279", "doi": "10.1109/ccdc58219.2023.10327279", "title": "Research of Drone-Truck Collaborative Delivery Path Optimization Based on Two-stage Heuristic Algorithm", "year": 2023, "authors": [ "Yan Li", "Lin Pan" ], "first_author": "Yan Li", "venue": "Proceedings of the 35th Chinese Control and Decision Conference Ccdc 2023", "volume": null, "pages": "3826-3831", "type": "conference-paper", "language": "en", "abstract": "With the rapid development of e-commerce, the logistics industry is confronting the important challenge of catering for the rapidly growing customer demand. As an emerging vehicle, delivery using truck and drones have played an increasing role in satisfying customers demand for fast, flexible and reliable delivery services. Drones and trucks work together to deliver packages cooperatively, a new delivery model that has been proven to reduce overall costs, CO2emissions and delivery times. This paper studies the problem of drone-truck cooperative distribution route optimization, establishes a mixed integer programming model, and proposes a two-stage heuristic algorithm including the nearest neighbor algorithm and K-means clustering, as well as the hybridization of variable neighborhood simulated annealing algorithm to solve the drone-vehicle routing problem (Vehicle Routing Problem with Drones, VRP-D). Through the analysis and discussion of the experimental results, the effectiveness of the proposed algorithm is verified.", "keywords": [ "Drone", "Vehicle routing problem", "Truck", "Computer science", "Simulated annealing", "Variable neighborhood search", "Cluster analysis", "Heuristic", "Routing (electronic design automation)", "Integer programming", "Algorithm", "Operations research" ], "cited_by_openalex": 0, "cited_by_scopus": "1", "eid": "2-s2.0-85181799742", "pii": null, "open_access_url": "http://dx.doi.org/10.1109/ccdc58219.2023.10327279", "sources": [ { "db": "openalex", "stream": "UAV", "query_id": "UAV-2" }, { "db": "scopus", "stream": "UAV", "query_id": "UAV-2" } ], "streams": [ "UAV" ], "relevance_signals": [ "UAV_NO_CTX", "TRUCK_NO_CTX" ], "auto_exclude_reason": "EC-4-topic", "screening_status": "auto_excluded", "screened_by": "auto-v1.0.0" }, { "id": "doi:10.2514/6.2023-2658", "doi": "10.2514/6.2023-2658", "title": "Sequential Cooperative Reinforcement Learning of Mothership Routing Problem", "year": 2023, "authors": [ "Jae‐Ho Lee", "Junwoo Park", "Dongwoo Lee", "Hyochoong Bang" ], "first_author": "Jae‐Ho Lee", "venue": "AIAA SCITECH 2023 Forum", "volume": null, "pages": null, "type": "conference-paper", "language": "en", "abstract": "View Video Presentation: https://doi.org/10.2514/6.2023-2658.vid This paper proposes a sequential cooperative reinforcement learning for the vehicle routing problem which possess a moving depot (mothership) where the depot is bound for a designated destination. Drones which are considered as delivery vehicles and deployed from the moving depot should convey packages to the known customer within operation time of the mothership. Challenges here are to assign which drones to which customer at what point in the path of the mothership, as well as to determine the best route of the mothership and those of the drones that minimizes cumulative distance. Our solution approach is to separate constitutive rolls into respective agents instead of controlling everything in a centralized fashion using single policy network. Then the key contribution of this work is to train the collection of policies in a sequential cooperative fashion using alternated interaction among them. The suggested algorithm represents each policy well trained with increasing reward as iteration continues, moreover more stable than simultaneous reinforcement learning for each agent. The proposed design prevents affecting training of other agent. Also, algorithm makes proper gradient backpropagation of reward possible. On the vehicle routing problem with mothership, our approach outperforms a solution with simultaneous learning of two policy agent in solution quality and training time with computational cost.", "keywords": [ "Reinforcement learning", "Computer science", "Drone", "Routing (electronic design automation)", "Vehicle routing problem", "Path (computing)", "Operations research", "Real-time computing", "Mathematical optimization", "Artificial intelligence", "Computer network", "Engineering" ], "cited_by_openalex": 0, "cited_by_scopus": "1", "eid": "2-s2.0-85200410401", "pii": null, "open_access_url": "http://dx.doi.org/10.2514/6.2023-2658", "sources": [ { "db": "openalex", "stream": "UAV", "query_id": "UAV-2" }, { "db": "scopus", "stream": "UAV", "query_id": "UAV-2" } ], "streams": [ "UAV" ], "relevance_signals": [ "UAV_NO_CTX" ], "auto_exclude_reason": "EC-4-topic", "screening_status": "auto_excluded", "screened_by": "auto-v1.0.0" }, { "id": "doi:10.2139/ssrn.4421477", "doi": "10.2139/ssrn.4421477", "title": "Cyclic Stochastic Inventory Routing Planning with Reorder Points and Recourse Decision for an Application in Medical Supply", "year": 2023, "authors": [ "Alexander Rave", "Pirmin Fontaine", "Heinrich C. Kuhn" ], "first_author": "Alexander Rave", "venue": "SSRN Electronic Journal", "volume": null, "pages": null, "type": "preprint", "language": "en", "abstract": null, "keywords": [ "Operations research", "Procurement", "Computer science", "Reorder point", "Stockout", "Business", "Operations management", "Supply chain", "Lead time", "Inventory control", "Inventory theory", "Variety (cybernetics)" ], "cited_by_openalex": 1, "cited_by_scopus": 0, "eid": null, "pii": null, "open_access_url": "https://doi.org/10.2139/ssrn.4421477", "sources": [ { "db": "openalex", "stream": "UAV", "query_id": "UAV-2" } ], "streams": [ "UAV" ], "relevance_signals": [ "NO_TECHNOLOGY_MATCH" ], "auto_exclude_reason": "EC-4-topic", "screening_status": "auto_excluded", "screened_by": "auto-v1.0.0" }, { "id": "doi:10.21203/rs.3.rs-2470489/v1", "doi": "10.21203/rs.3.rs-2470489/v1", "title": "An Novel Method for Solving Touring-polygons Problem with Obstacles", "year": 2023, "authors": [ "Wei Ma", "Xiaojing Liu", "Xiaohu Luo" ], "first_author": "Wei Ma", "venue": "Research Square", "volume": null, "pages": null, "type": "preprint", "language": "en", "abstract": null, "keywords": [ "Computer science" ], "cited_by_openalex": 1, "cited_by_scopus": 0, "eid": null, "pii": null, "open_access_url": "https://www.researchsquare.com/article/rs-2470489/latest.pdf", "sources": [ { "db": "openalex", "stream": "UAV", "query_id": "UAV-2" } ], "streams": [ "UAV" ], "relevance_signals": [ "NO_TECHNOLOGY_MATCH" ], "auto_exclude_reason": "EC-4-topic", "screening_status": "auto_excluded", "screened_by": "auto-v1.0.0" }, { "id": "doi:10.1201/9781003316671-5", "doi": "10.1201/9781003316671-5", "title": "Application of Data Science in Transportation Systems", "year": 2023, "authors": [ "Rakesh K. Jain", "Ashish R. Joshi", "Bharati H. Gavhane" ], "first_author": "Rakesh K. Jain", "venue": null, "volume": null, "pages": null, "type": "book-chapter", "language": "en", "abstract": "This chapter discusses the different modes and aspects of transportation development. Also, this chapter includes the transportation data analytics, modern data collection techniques, and multimodal transportation system to improve the transportation networks. Before starting any project, the available data required to be analyzed, validated, and applied to the data for designing, modeling, and implementation. The data collection, storage, data security, and quality of data are the main aspects in transportation systems. For analyzing data, the directional traffic volume, pedestrian volume, different classes of vehicles, and pavement distress need to be considered for the prediction of pavement health. For increasing traffic congestion, the modern data collection techniques used, such as ICT tools, include computers, IoT, and electronic data processing (EDP) tools. Also monitoring, image processing, remote-sensing technologies, ATC, and drones are used for data collection. This chapter also discusses the advantages of prognostic analytics for public transportation planning and multimodal transportation. For implementation of MTS advanced technological tools such as cameras, GPS, and geo-locations are used. The data science is applicable in prediction of traffic congestion using neural network, fuzzy systems, vehicle route planning, and also TDM. The study of advancements of new technology, such as self-driving cars and smart parking systems are also explained in this chapter. This chapter discusses in detail a sample case study on bicycle demand. The case study illustrates the use of Python programming language to analyze data and understand the factors affecting demand for a bike sharing business.", "keywords": [ "Computer science", "Data science" ], "cited_by_openalex": 1, "cited_by_scopus": 0, "eid": null, "pii": null, "open_access_url": "https://doi.org/10.1201/9781003316671-5", "sources": [ { "db": "openalex", "stream": "UAV", "query_id": "UAV-2" } ], "streams": [ "UAV" ], "relevance_signals": [ "UAV_NO_CTX" ], "auto_exclude_reason": "EC-4-topic", "screening_status": "auto_excluded", "screened_by": "auto-v1.0.0" }, { "id": "doi:10.21203/rs.3.rs-3650701/v1", "doi": "10.21203/rs.3.rs-3650701/v1", "title": "Trajectory Optimization of Unmanned Aerial Vehicles in theElectromagnetic Environment", "year": 2023, "authors": [ "Anvarbek Atayev", "Jörg Fliege", "Alain B. Zemkoho" ], "first_author": "Anvarbek Atayev", "venue": "Research Square", "volume": null, "pages": null, "type": "preprint", "language": "en", "abstract": "Abstract We consider a type of routing problems common in defence and security, in which we control a fleetof unmanned aerial vehicles (UAVs) that have to reach one or more target locations without beingdetected by an adversary. Detection can be carried out by a variety of sensors (radio receivers, cameras,personnel, etc) placed by the adversary around the target sites. We model the act of detecting a UAVfrom first principles by noting that sensors work by monitoring frequencies in the electromagneticspectrum for signals or noise emitted. By this, we are able to provide a flexible and versatile nonlinearoptimisation framework in which the problem is modeled as a novel trajectory optimisation problemwith paths of the UAVs as continuous arcs in an Euclidean space. The flexibility of our approach isexhibited by the fact that we can easily consider various relevant objectives, among them minimisingthe overall probability of detection and maximising the location error that the adversary experienceswhen trying to locate our UAVs. Our model is also versatile enough to consider the act of jamming, inwhich one or more of our UAVs intentionally send out signals to interfere with the operations of theadversary’s sensors. Numerical results show the flexibility of our framework, and that we can solverealistic instances of this problem type.", "keywords": [ "Flexibility (engineering)", "Adversary", "Computer science", "Trajectory", "Jamming", "Noise (video)", "Trajectory optimization", "Variety (cybernetics)", "Real-time computing", "Artificial intelligence", "Computer security", "Image (mathematics)" ], "cited_by_openalex": 1, "cited_by_scopus": 0, "eid": null, "pii": null, "open_access_url": "https://www.researchsquare.com/article/rs-3650701/latest.pdf", "sources": [ { "db": "openalex", "stream": "UAV", "query_id": "UAV-2" } ], "streams": [ "UAV" ], "relevance_signals": [ "UAV_NO_CTX" ], "auto_exclude_reason": "EC-4-topic", "screening_status": "auto_excluded", "screened_by": "auto-v1.0.0" }, { "id": "doi:10.31223/x5q95x", "doi": "10.31223/x5q95x", "title": "Marine Cloud Brightening: an airborne concept", "year": 2023, "authors": [ "Christian G. Claudel", "Andrew John Lockley", "Fabian Hoffmann", "Younan Xia" ], "first_author": "Christian G. Claudel", "venue": null, "volume": null, "pages": null, "type": "preprint", "language": "en", "abstract": "Marine cloud brightening (MCB) is a proposed solar radiation modification (SRM) geoengineering technique to enhance marine boundary layer (MBL) cloud albedo. Extant proposals consider 10,000-100,000 autonomous ships spraying seawater, generating and dispersing sea salt nanoparticles. Alternatively, this paper proposes industrially manufacturing NaCl nanoparticles using ethanol anti-solvent brine precipitation. With desiccation, size optimization and narrowed size distribution, aerosol mass flux reduces by 500x (17x for the dry mass flux). This facilitates Unmanned Aerial Vehicle delivery (e.g. MQ-9 Reaper UAV). Increased speed, altitude and wake turbulence improves areal coverage per vehicle vs. ships - reducing fleet size. Utilizing extant airframe designs improves vehicle technology readiness level (TRL) - potentially improving system operational cost (est. $40B/year) and lead time. This approach further reduces energy requirements (5x less), technical risk and system complexity. Increased readiness amplifies proliferation risk - particularly for inexpensive regional heatwave and hurricane suppression - making governance more urgent.", "keywords": [ "Environmental science", "Extant taxon", "Meteorology", "Aerosol", "Atmospheric sciences", "Geology", "Geography" ], "cited_by_openalex": 1, "cited_by_scopus": 0, "eid": null, "pii": null, "open_access_url": "https://eartharxiv.org/repository/object/5789/download/11306/", "sources": [ { "db": "openalex", "stream": "UAV", "query_id": "UAV-2" } ], "streams": [ "UAV" ], "relevance_signals": [ "UAV_NO_CTX" ], "auto_exclude_reason": "EC-4-topic", "screening_status": "auto_excluded", "screened_by": "auto-v1.0.0" }, { "id": "doi:10.2514/6.2023-76534", "doi": "10.2514/6.2023-76534", "title": "Aerodynamic Investigation of Vertiport Design for Air Taxis", "year": 2023, "authors": [ "Alexandra Bernyk", "Vedant Mantri", "Finn Sutherland" ], "first_author": "Alexandra Bernyk", "venue": null, "volume": null, "pages": null, "type": "conference-paper", "language": "en", "abstract": "Advanced Air Mobility (AAM) is at the forefront of a new era of transportation, with vertiports emerging as integral components in AAM operations. Managing the wind conditions around vertiports is integral to the safety and efficiency of AAM operations at vertiports, as vertiport structures will generate challenging flight conditions for AAM vehicles to navigate. The design of vertiport structures will influence the surrounding flow field, so vertiport design can be used to reduce unfavourable conditions for AAM vehicles. This study looks at how effectively aspects of building design mitigate unfavourable wind conditions for a roof-mounted vertipad, namely modifications to roof edge geometry and vertipad design. Scaled models of a cuboid structure with a roof-top vertipad were tested in a wind tunnel, using Particle Tracking Velocimetry (PTV) to study the surrounding flow field. Results showed that radiused roof edges and the inclusion of slats effectively reduced the size and intensity of the overspeed regions and regions of sheared flow. Vertipad height influenced the wind conditions above the vertipad, with lower vertipads (0.03 of the building height above the roof) having better conditions than high (0.10 of the building’s height above the roof) vertipads. Square vs round vertipads were tested but shape did not substantially affect the measured flow field.", "keywords": [ "Aerodynamics", "Taxis", "Aerospace engineering", "Computer science", "Automotive engineering", "Environmental science", "Engineering", "Transport engineering" ], "cited_by_openalex": 1, "cited_by_scopus": 0, "eid": null, "pii": null, "open_access_url": "https://arc.aiaa.org/doi/pdf/10.2514/6.2023-76534", "sources": [ { "db": "openalex", "stream": "UAV", "query_id": "UAV-3" } ], "streams": [ "UAV" ], "relevance_signals": [ "UAV_NO_CTX" ], "auto_exclude_reason": "EC-4-topic", "screening_status": "auto_excluded", "screened_by": "auto-v1.0.0" }, { "id": "doi:10.4271/2023-01-1103", "doi": "10.4271/2023-01-1103", "title": "Noise Footprint Assessment at a Vertiport for Different Approach and Departure Procedures of a Tilt-Wing Air-Taxi", "year": 2023, "authors": [ "Michael Bauer" ], "first_author": "Michael Bauer", "venue": "SAE technical papers on CD-ROM/SAE technical paper series", "volume": null, "pages": null, "type": "conference-paper", "language": "en", "abstract": "Community noise at vertiports is one of the most important questions related to upcoming urban air mobility (UAM) operations. While fixed-wing and/or fixed-rotor aircraft can mainly be treated by their changing operational parameters, such as rotor or propeller rpm, tilt-wing or tilt-engine configurations are more difficult to simulate because of their constantly changing noise emission and spatial radiation characteristics. The work presented in this paper is providing an overview of the noise situation at a virtual vertiport which is being approached and departed by a tilt-wing air-taxi in different ways. Several different departure procedures are simulated with the same generic air-taxi. For the noise emission semi-empiric methods were used. During the air-taxi’s descent and climb, different tilt configurations are included, mainly defined by the time dependent engine’s tilt-angle, but also related to different approach paths. Each approach or departure procedure is generating individually time dependent changing noise emission characteristics which are used for noise footprint mapping around the touch-down or lift-off point. Different noise metrics are computed, including some which are representative to indicate noise annoyance among the vertiport’s neighborhood. It is expected that each procedure will generate its own specific community noise situation in the vicinity of the vertiport, and thus may provide an early recommenddation for later operations. The results are compared towards each other. Additionally, a simulated certification flyover according to ICAO Chapter 13 - which is about the noise certification of tilt-rotor aircraft - is set into relation to the vertiport’s community noise.", "keywords": [ "Noise (video)", "Tilt (camera)", "Computer science", "Climb", "Simulation", "Marine engineering", "Engineering", "Aerospace engineering", "Artificial intelligence", "Mechanical engineering" ], "cited_by_openalex": 2, "cited_by_scopus": "1", "eid": "2-s2.0-85160719904", "pii": null, "open_access_url": "https://doi.org/10.4271/2023-01-1103", "sources": [ { "db": "openalex", "stream": "UAV", "query_id": "UAV-3" }, { "db": "scopus", "stream": "UAV", "query_id": "UAV-3" } ], "streams": [ "UAV" ], "relevance_signals": [ "UAV_NO_CTX" ], "auto_exclude_reason": "EC-4-topic", "screening_status": "auto_excluded", "screened_by": "auto-v1.0.0" }, { "id": "doi:10.12985/ksaa.2023.31.2.055", "doi": "10.12985/ksaa.2023.31.2.055", "title": "A Study on the UAM Vertiport Capacity Calculation Method Using Optimization Technique", "year": 2023, "authors": [ "Seung-Jun Lee", "Hojong Baik", "Janghoon Park" ], "first_author": "Seung-Jun Lee", "venue": "Journal of the Korean Society for Aviation and Aeronautics", "volume": null, "pages": null, "type": "article", "language": "en", "abstract": "Due to extreme urbanization, ground transportation in the city center is saturated, and problems such as the lack of expansion infrastructure and traffic congestion increase social costs. To solve this problem, a 3D mobility platform, Urban Air Mobility (UAM), has emerged as a new alternative. A vertiport is a physical space that conducts a similar role to an airport terminal. Vertiport consists of take-off and landing facilities (TLOF, Touchdown and Lift-Off area), space for boarding and disembarking from UAM aircraft (gates), taxiways, and passenger terminals. The type of vertiport (structure, number of facilities) and concept of operations are key variables that determine the number of UAM aircraft that can be accommodated per hour. In this study, a capacity calculation method was presented using an optimization technique (Deterministic Integer Linear Programming). The absolute capacity of the vertiport was calculated using an optimization technique, and a sensitivity analysis was also performed.", "keywords": [ "Sensitivity (control systems)", "Linear programming", "Integer programming", "Lift (data mining)", "Computer science", "Touchdown", "Mathematical optimization", "Transport engineering", "Engineering", "Mathematics", "Algorithm", "Geography" ], "cited_by_openalex": 1, "cited_by_scopus": 0, "eid": null, "pii": null, "open_access_url": "https://www.jksaa.org/download/download_pdf?pid=jksaa-31-2-55", "sources": [ { "db": "openalex", "stream": "UAV", "query_id": "UAV-3" } ], "streams": [ "UAV" ], "relevance_signals": [ "UAV_NO_CTX" ], "auto_exclude_reason": "EC-4-topic", "screening_status": "auto_excluded", "screened_by": "auto-v1.0.0" }, { "id": "doi:10.4050/f-0079-2023-18060", "doi": "10.4050/f-0079-2023-18060", "title": "An Airport & Vertiport/Aircraft Compatibility Approach of Electric Vertical Takeoff & Landing Aircraft Design", "year": 2023, "authors": [ "Gaël Bris", "Loup-Giang Nguyen" ], "first_author": "Gaël Bris", "venue": null, "volume": null, "pages": null, "type": "conference-paper", "language": "en", "abstract": "Most ongoing electric vertical takeoff and landing (eVTOL) aircraft projects focus on the development of products that meet the needs of urban air mobility (UAM). The use cases that eVTOL aircraft could fulfill include intra-urban passenger mobility, cargo delivery, and emergency medical services (EMS). As UAM intends to provide point-to-point mobility service, it will need to leverage heliport facilities and create new vertiports on existing city real estate (e.g., high-rise building and parking garage rooftops). In order to achieve this, eVTOL aircraft design shall be, as far as practicable, compatible with the infrastructure available. The various aspects of eVTOL/vertiport and airport compatibility were investigated, and a list of criteria was established. The paper describes how key eVTOL design features interact with aviation facilities, and how and why careful aircraft design taking the ground infrastructure into consideration is important to maximize compatibility and facilitate UAM implementation by minimizing the need for costly and impactful capital investments. Considerations should be given to several features, including but not limited to the general aircraft configuration, passenger accessibility, electric and hybrid propulsion systems, and the charging and refueling systems. The review of existing heliport/vertiport facilities representing the diversity of the ground infrastructure in selected large metropolitan areas against over 100 eVTOL concepts and original designs provide an insight of the challenges ahead. The assessment of aviation risks expands the aircraft/airport compatibility conversation to fostering operational safety and efficiency 'by design'. Finally, the role of standardization in further reducing compatibility issues through industry standards and best practices in aircraft design, airport/vertiport design, and aircraft/airport operations is also discussed.", "keywords": [ "Transport engineering", "Takeoff and landing", "Compatibility (geochemistry)", "Aviation", "Takeoff", "Runway", "Engineering", "Systems engineering", "Computer science", "Automotive engineering", "Aerospace engineering" ], "cited_by_openalex": 1, "cited_by_scopus": 0, "eid": null, "pii": null, "open_access_url": "https://doi.org/10.4050/F-0079-2023-18060", "sources": [ { "db": "openalex", "stream": "UAV", "query_id": "UAV-3" } ], "streams": [ "UAV" ], "relevance_signals": [ "UAV_NO_CTX" ], "auto_exclude_reason": "EC-4-topic", "screening_status": "auto_excluded", "screened_by": "auto-v1.0.0" }, { "id": "doi:10.48550/arxiv.2307.14731", "doi": "10.48550/arxiv.2307.14731", "title": "Bi-level Network Design for UAM Vertiport Allocation Using Activity-Based Transport Simulations", "year": 2023, "authors": [ "Sebastian Brulin", "Markus Olhofer" ], "first_author": "Sebastian Brulin", "venue": "arXiv (Cornell University)", "volume": null, "pages": null, "type": "preprint", "language": "en", "abstract": "The design or the optimization of transport systems is a difficult task. This is especially true in the case of the introduction of new transport modes in an existing system. The main reason is, that even small additions and changes result in the emergence of new travel patterns, likely resulting in an adaptation of the travel behavior of multiple other agents in the system. Here we consider the optimization of future Urban Air Mobility services under consideration of effects induced by the new mode to an existing system. We tackle this problem through a bi-level network design approach, in which the discrete decisions of the network design planner are optimized based on the evaluated dynamic demand of the user's mode choices. We solve the activity-based network design problem (AB-NDP) using a Genetic Algorithm on a multi-objective optimization problem while evaluating the dynamic demand with the large-scale Multi-Agent Transport Simulation (MATSim) framework. The proposed bi-level approach is compared against the results of a coverage approach using a static demand method. The bi-level study shows better results for expected UAM demand and total travel time savings across the transportation system. Due to its generic character, the demonstrated utilization of a bi-level method is applicable to other mobility service design questions and to other regions.", "keywords": [ "Computer science", "Genetic algorithm", "Mathematical optimization", "Mode (computer interface)", "Planner", "Task (project management)", "Network planning and design", "Service (business)", "Service level", "Adaptation (eye)", "Transport network", "Distributed computing" ], "cited_by_openalex": 1, "cited_by_scopus": 0, "eid": null, "pii": null, "open_access_url": "https://arxiv.org/pdf/2307.14731", "sources": [ { "db": "openalex", "stream": "UAV", "query_id": "UAV-3" } ], "streams": [ "UAV" ], "relevance_signals": [ "UAV_NO_CTX" ], "auto_exclude_reason": "EC-4-topic", "screening_status": "auto_excluded", "screened_by": "auto-v1.0.0" }, { "id": "doi:10.2514/6.2023-3262", "doi": "10.2514/6.2023-3262", "title": "Urban Air Mobility Network Distribution in Chicago Metropolitan Area", "year": 2023, "authors": [ "Qilei Zhang", "John H. Mott" ], "first_author": "Qilei Zhang", "venue": null, "volume": null, "pages": null, "type": "conference-paper", "language": "en", "abstract": "View Video Presentation: https://doi.org/10.2514/6.2023-3262.vid Urban Air Mobility (UAM) concepts have received significant attention in recent years. The new technology accompanying this concept aims to provide another possibility of daily transport and reduce the pressure of traffic congestion and environmental pollution. The potential demand within a specific range needs to be analyzed to probe the placement and desired number of vertiports, thereby maximizing the benefits UAM operations bring. This paper investigates the feasible distribution of vertiports for UAM operations by considering the commuting demand in the Chicago metropolitan area for this new air transportation service. The problem of the optimal number of vertiports is explored, and the results demonstrate how competitive the UAM network is in time savings compared to commuting by driving. The applied techniques quantify the benefit brought by UAM and assist in providing a solid forecast for UAM stakeholders in understanding the prospective market for this new air transportation.", "keywords": [ "Metropolitan area", "Distribution (mathematics)", "Computer science", "Telecommunications", "Environmental science", "Transport engineering", "Geography", "Engineering", "Mathematics", "Archaeology" ], "cited_by_openalex": 1, "cited_by_scopus": 0, "eid": null, "pii": null, "open_access_url": "https://doi.org/10.2514/6.2023-3262", "sources": [ { "db": "openalex", "stream": "UAV", "query_id": "UAV-3" } ], "streams": [ "UAV" ], "relevance_signals": [ "UAV_NO_CTX" ], "auto_exclude_reason": "EC-4-topic", "screening_status": "auto_excluded", "screened_by": "auto-v1.0.0" }, { "id": "doi:10.2514/6.2023-3401", "doi": "10.2514/6.2023-3401", "title": "A Blockchain Case Study for Urban Air Mobility Operational Intent", "year": 2023, "authors": [ "Kenneth Freeman", "Norbert Gillem", "Aidan Jones", "Nishant Sharma" ], "first_author": "Kenneth Freeman", "venue": "AIAA Aviation and Aeronautics Forum and Exposition AIAA Aviation Forum 2023", "volume": null, "pages": null, "type": "conference-paper", "language": "en", "abstract": "View Video Presentation: https://doi.org/10.2514/6.2023-3401.vid To realize the potential of Urban Air Mobility (UAM), an assurance of cybersecurity is critical for public acceptance. UAM is a concept that proposes to develop short-range, pointto- point transportation systems in metropolitan areas using vertical takeoff and landing (VTOL) aircraft to overcome increasing surface congestion. The growth in the development of UAM systems, and the associated data exchange and service interactions will be at risk due to numerous types of cybersecurity attacks. The intent of this work is to leverage a permissioned blockchain to simulate secure data exchange and storage for the UAM operational intent use case. In this case study, two vehicle operators are operating in the same airspace. Their intent is to fly vehicles that land at a shared vertiport, securely.", "keywords": [ "Leverage (statistics)", "Computer security", "Blockchain", "Metropolitan area", "Computer science", "Work (physics)", "Transport engineering", "Engineering" ], "cited_by_openalex": 3, "cited_by_scopus": "1", "eid": "2-s2.0-85199874804", "pii": null, "open_access_url": "https://doi.org/10.2514/6.2023-3401", "sources": [ { "db": "openalex", "stream": "UAV", "query_id": "UAV-3" }, { "db": "scopus", "stream": "UAV", "query_id": "UAV-3" } ], "streams": [ "UAV" ], "relevance_signals": [ "UAV_NO_CTX" ], "auto_exclude_reason": "EC-4-topic", "screening_status": "auto_excluded", "screened_by": "auto-v1.0.0" }, { "id": "doi:10.31223/x5wm12", "doi": "10.31223/x5wm12", "title": "A cost model for ocean iron fertilization as a means of carbon dioxide removal that compares ship- and aerial-based delivery, and estimates verification costs.", "year": 2023, "authors": [ "David Emerson", "Alexander B. Michaud", "Stephen Archer", "Laura E. Sofen", "Benjamin S. Twining" ], "first_author": "David Emerson", "venue": null, "volume": null, "pages": null, "type": "preprint", "language": "en", "abstract": "This paper presents a cost model for implementing a deployment scale effort for conducting ocean iron fertilization (OIF) for marine-based carbon dioxide removal (CDR). The model incorporates basic oceanographic parameters critical for estimating the effective export of newly fixed CO2 into biomass that is stimulated by Fe addition to an Fe-limited region of the Southern Ocean. Estimated costs can vary by nearly a 100-fold between best-case and worst-case scenarios with best-case values of $7/net ton C captured versus worst-case $1500/net ton C captured, without accounting for verification costs. Primary oceanographic factors that influence cost are the net primary productivity increases achieved via OIF, the amount of carbon exported into the deep ocean, and the amount of CO2 ventilated back to the atmosphere. The model compares ship-based versus aerial delivery of iron to the ocean, and estimates aerial delivery can be 30 – 40% more cost effective; however, the specific requirements for aerial delivery require additional research and development. The model also estimates costs associated with verification and environmental monitoring of OIF. These costs increase $/net ton C captured by 3 – 4-fold. Best, intermediate, and worst cases for aerial delivery and ship delivery are $23, $83, $1,735, and $25, $94, $4481, respectively, inclusive of verification costs. The primary goal of this model is to demonstrate the variability in cost of OIF as a CDR method, to better understand where additional research is needed to determine the major factors that may make OIF a tractable, nature-based CDR method.", "keywords": [ "Software deployment", "Environmental science", "Carbon dioxide", "Primary production", "Total cost", "Cost estimate", "Computer science", "Meteorology", "Marine engineering", "Engineering", "Business", "Ecosystem" ], "cited_by_openalex": 1, "cited_by_scopus": 0, "eid": null, "pii": null, "open_access_url": "https://eartharxiv.org/repository/object/5272/download/10382/", "sources": [ { "db": "openalex", "stream": "UAV", "query_id": "UAV-3" } ], "streams": [ "UAV" ], "relevance_signals": [ "UAV_NO_CTX" ], "auto_exclude_reason": "EC-4-topic", "screening_status": "auto_excluded", "screened_by": "auto-v1.0.0" }, { "id": "doi:10.46246/kjasem.230018", "doi": "10.46246/kjasem.230018", "title": "A Research on Local Community’s Acceptance and Human Factors Using Analytic Hierarchy Process", "year": 2023, "authors": [ "Sung Sik Park", "H.-S. Kim" ], "first_author": "Sung Sik Park", "venue": "The Korean Journal of Aerospace and Environmental Medicine", "volume": null, "pages": null, "type": "article", "language": "en", "abstract": "Based on thorough empirical research using the Analytic Hierarchy Process (AHP) and literature revie, the study examined the attitudes, expectations and concerns of local citizens with respect to urban air mobility (UAM) and revealed interesting insights as a new air mobility.The AHP survey results were very insightful among all those experts surveyed.Experts initially and spontaneously express a positive attitude toward and interest in UAM.It is seen as a new and attractive means of mobility and a majority is ready to try it out.The notion of public interest is a determining factor for acceptance: use cases for the benefit of the community, such as medical or emergency transport or those connecting remote areas, are better supported than use cases satisfying individual/private needs.However, experts expressed an opinion that local citizens want to limit their own exposure to human factor related risks, in particular when related to UAM's flight safety.Regarding the considerations of vertiport, the study also shows that citizens seem to concern about infrastructures around vertiport to improve UAM usefulness and use-convenience.", "keywords": [ "Analytic hierarchy process", "Process (computing)", "Hierarchy", "Sociology", "Psychology", "Mathematics", "Computer science", "Political science", "Operations research", "Law" ], "cited_by_openalex": 1, "cited_by_scopus": 0, "eid": null, "pii": null, "open_access_url": "https://www.kjasem.org/journal/download_pdf.php?doi=10.46246/KJAsEM.230018", "sources": [ { "db": "openalex", "stream": "UAV", "query_id": "UAV-3" } ], "streams": [ "UAV" ], "relevance_signals": [ "UAV_NO_CTX" ], "auto_exclude_reason": "EC-4-topic", "screening_status": "auto_excluded", "screened_by": "auto-v1.0.0" }, { "id": "doi:10.7840/kics.2023.48.8.984", "doi": "10.7840/kics.2023.48.8.984", "title": "Consideration of Cybersecurity threat for Urban Air Mobility (UAM) Operations", "year": 2023, "authors": [ "Sanghoon Jeon" ], "first_author": "Sanghoon Jeon", "venue": "한국통신학회논문지", "volume": null, "pages": null, "type": "article", "language": "en", "abstract": "Urban air mobility (UAM) is rapidly becoming an alternative to traditional ground transportation, owing to the development of hyper-connected communication technology. However, safely transitioning from ground transportation to an air transportation system requires research in various fields. To ensure safe and efficient urban flight management, the operation of air and passenger transportation services requires the integration of various technologies and regulations across multiple fields. This includes safe operations for aircraft, vertiports and air control centers in the physical domain, and information security technology operations for cybersecurity in the cyber domain. As UAM systems become increasingly reliant on connected technologies and data, effective countermeasures against cybersecurity threats are essential for ensuring their safe and secure operation. This could involve implementing robust cybersecurity protocols and leveraging advanced anti-threat technologies to identify and respond to potential threats. However, urban aviation operations face unique potential threats that are not typically encountered by general aircraft services. These include interference from ground operations, sabotage, exposure of aviation information, interception, tampering, theft, and fraudulent use. Moreover, vulnerabilities in the operation and management of manned and unmanned aircraft, pilots, remote pilots, vertiports, and air traffic control centers can be exposed and exploited. Therefore, this study aims to identify potential threats and vulnerabilities associated with UAM operations, and propose security requirements and reliable countermeasures to ensure their safe and secure operation against cyber threats.", "keywords": [ "Computer security", "Aviation", "Air traffic control", "Domain (mathematical analysis)", "Air traffic management", "Control (management)", "Risk analysis (engineering)", "Engineering", "Transport engineering", "Computer science", "Business" ], "cited_by_openalex": 1, "cited_by_scopus": 0, "eid": null, "pii": null, "open_access_url": "https://doi.org/10.7840/kics.2023.48.8.984", "sources": [ { "db": "openalex", "stream": "UAV", "query_id": "UAV-3" } ], "streams": [ "UAV" ], "relevance_signals": [ "UAV_NO_CTX" ], "auto_exclude_reason": "EC-4-topic", "screening_status": "auto_excluded", "screened_by": "auto-v1.0.0" }, { "id": "doi:10.48550/arxiv.2309.15621", "doi": "10.48550/arxiv.2309.15621", "title": "A City-centric Approach to Estimate and Evaluate Global Urban Air Mobility Demand", "year": 2023, "authors": [ "Lukas Asmer", "Roman Jaksche", "Henry Pak", "Petra Kokus" ], "first_author": "Lukas Asmer", "venue": "arXiv (Cornell University)", "volume": null, "pages": null, "type": "preprint", "language": "en", "abstract": "Urban Air Mobility (UAM) is expected to effectively complement the existing transportation system by providing fast and safe travel options, contributing to decarbonization, and providing benefits to citizens and communities. A preliminary estimate of the potential global demand for UAM, the associated aircraft movements, and the required vehicles is essential for the UAM industry for their long-term planning, but also of interest to other stakeholders such as governments and transportation planners to develop appropriate strategies and actions to implement UAM. This paper proposes a city-centric forecasting methodology that provides preliminary estimates of the potential global UAM demand for intra-city air taxi services for 990 cities worldwide. By summing all city-specific results, an estimate of the global UAM demand is obtained. By varying the parameters of the UAM system, sensitivity studies and different market scenarios are developed and analyzed. Sensitivity analyses show how strongly demand decreases when air taxi ticket prices increase. Considering low ticket prices and high vertiport densities, possible market development scenarios show that there is a market potential for UAM in over 200 cities worldwide by 2050. The study highlights the significant impact of low ticket prices and the need for high vertiport densities to drive UAM demand. This highlights the need for careful optimization of system components to minimize costs and increase the quality of UAM services.", "keywords": [ "Ticket", "Business", "Air quality index", "Sensitivity (control systems)", "Air travel", "Environmental economics", "Transport engineering", "Computer science", "Economics", "Aviation", "Meteorology", "Engineering" ], "cited_by_openalex": 1, "cited_by_scopus": 0, "eid": null, "pii": null, "open_access_url": "https://arxiv.org/pdf/2309.15621", "sources": [ { "db": "openalex", "stream": "UAV", "query_id": "UAV-3" } ], "streams": [ "UAV" ], "relevance_signals": [ "UAV_NO_CTX" ], "auto_exclude_reason": "EC-4-topic", "screening_status": "auto_excluded", "screened_by": "auto-v1.0.0" }, { "id": "doi:10.1109/icuas57906.2023.10156156", "doi": "10.1109/icuas57906.2023.10156156", "title": "Technological Certainties and Regulatory Doubts: An Overlook at Unmanned Aviation and Urban Air Mobility in Europe", "year": 2023, "authors": [ "Andrea Trimarchi" ], "first_author": "Andrea Trimarchi", "venue": null, "volume": null, "pages": null, "type": "conference-paper", "language": "en", "abstract": "This paper explores the current status of regulation concerning unmanned aviation in Europe. In particular, the paper takes into consideration the technological and regulatory advancement pertaining to Urban Air Mobility (UAM), which is believed to revolutionise traditional air transport, as we currently know it. As the paper discusses, UAM does not only raise issues of a technical nature, but also, and more importantly, from a legal, sociological and economic perspective. In this context, for example, the use of drones in urban environments does lay emphasis on a necessary coordination between air traffic management (ATM) and unmanned traffic management (UTM), as well as on the need to regulate entirely new categories of aerospace infrastructures, such as vertiports or U-space.", "keywords": [ "Aviation", "Context (archaeology)", "Aerospace", "Drone", "Perspective (graphical)", "Air traffic control", "Air traffic management", "Aeronautics", "Air transport", "Engineering", "Transport engineering", "Political science" ], "cited_by_openalex": 1, "cited_by_scopus": 0, "eid": null, "pii": null, "open_access_url": "http://dx.doi.org/10.1109/icuas57906.2023.10156156", "sources": [ { "db": "openalex", "stream": "UAV", "query_id": "UAV-3" } ], "streams": [ "UAV" ], "relevance_signals": [ "UAV_NO_CTX" ], "auto_exclude_reason": "EC-4-topic", "screening_status": "auto_excluded", "screened_by": "auto-v1.0.0" }, { "id": "doi:10.1109/cai54212.2023.00045", "doi": "10.1109/cai54212.2023.00045", "title": "RL-based Scheduling of an AAM Traffic Network", "year": 2023, "authors": [ "Arinc Tutku Altun", "Yan Xu", "Gökhan İnalhan", "Michael W. Hardt" ], "first_author": "Arinc Tutku Altun", "venue": null, "volume": null, "pages": null, "type": "conference-paper", "language": "en", "abstract": "This study presents an approach for pre-flight planning process to be used in the future Advanced Air Mobility (AAM) system especially after contingency situations and relevant activities take place. The methodology for scheduling is modeled as a reinforcement learning (RL) agent that resolves potential conflicts for the traffic and balances the demand and capacity at vertiports. The reason behind to use RL is that specific problem requires a very quick response since it also deals with resolving conflicts that are observed between the flights that are about to take-off and the contingent flights that diverted for an emergency landing. The main objective of this work is to develop a pre-flight planning service to work compatible with contingency management activities for enhancing the contingency management process for the AAM system.", "keywords": [ "Contingency", "Reinforcement learning", "Computer science", "Contingency plan", "Scheduling (production processes)", "Operations research", "Process (computing)", "Transport engineering", "Computer security", "Artificial intelligence", "Operations management", "Engineering" ], "cited_by_openalex": 1, "cited_by_scopus": 0, "eid": null, "pii": null, "open_access_url": "https://dspace.lib.cranfield.ac.uk/bitstreams/f266e4df-2dbe-4540-a286-11c3f732df1b/download", "sources": [ { "db": "openalex", "stream": "UAV", "query_id": "UAV-3" } ], "streams": [ "UAV" ], "relevance_signals": [ "UAV_NO_CTX" ], "auto_exclude_reason": "EC-4-topic", "screening_status": "auto_excluded", "screened_by": "auto-v1.0.0" }, { "id": "doi:10.1201/9781003252085-5", "doi": "10.1201/9781003252085-5", "title": "CoVacciDrone: An Algorithmic-Drone-Based COVID-19 Vaccine Distribution Strategy", "year": 2023, "authors": [ "Akash Ilangovan", "Sakthi Jaya Sundar Rajasekar", "Varalakshmi Perumal" ], "first_author": "Akash Ilangovan", "venue": "Internet of Drones Applications Opportunities and Challenges", "volume": null, "pages": "75-86", "type": "book-chapter", "language": "en", "abstract": "The COVID-19 pandemic has turned out to be one of the worst disasters that mankind has ever faced. This pandemic has disturbed the homeostasis of the entire globe. Various degrees of lockdowns are being implemented worldwide to prepare the healthcare infrastructure of the country as well as to sensitize people. The new mutations in the genome of the virus are possessing a greater threat in triggering the future waves of the pandemic. Adhering to strict usage of masks, highest standards of hand hygiene, practicing social distancing and vaccination are the only weapons to battle the pandemic. Governments are rolling the vaccination plans worldwide. There are various strategies to improve the vaccination status of a country. There is a dire need for a robust, efficient delivery system for the effective transportation of the COVID-19 vaccines. This chapter proposes distribution methods for CoVacciDrone, a smart-drone-based delivery system of COVID-19 vaccines. This would enable transport of the COVID-19 vaccine to even the remotest locations of the country. Deployment of such smart systems would improve the vaccination status of the nation. This would propel the vaccination drive, which would be imperative in avoiding future waves of the COVID-19 pandemic.", "keywords": [ "Drone", "Coronavirus disease 2019 (COVID-19)", "Computer science", "2019-20 coronavirus outbreak", "Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2)", "Virology", "Aeronautics", "Medicine", "Engineering", "Biology", "Infectious disease (medical specialty)", "Internal medicine" ], "cited_by_openalex": 1, "cited_by_scopus": "1", "eid": "2-s2.0-85159411907", "pii": null, "open_access_url": "https://doi.org/10.1201/9781003252085-5", "sources": [ { "db": "openalex", "stream": "UAV", "query_id": "UAV-3" }, { "db": "scopus", "stream": "UAV", "query_id": "UAV-3" } ], "streams": [ "UAV" ], "relevance_signals": [ "UAV_NO_CTX" ], "auto_exclude_reason": "EC-4-topic", "screening_status": "auto_excluded", "screened_by": "auto-v1.0.0" }, { "id": "doi:10.48550/arxiv.2310.00135", "doi": "10.48550/arxiv.2310.00135", "title": "Alpha-Fair Routing in Urban Air Mobility with Risk-Aware Constraints", "year": 2023, "authors": [ "Yue Yu", "Zhenyu Gao", "Sarah H. Q. Li", "Qinshuang Wei", "John-Paul Clarke", "Ufuk Topcu" ], "first_author": "Yue Yu", "venue": "arXiv (Cornell University)", "volume": null, "pages": null, "type": "preprint", "language": "en", "abstract": "In the vision of urban air mobility, air transport systems serve the demands of urban communities by routing flight traffic in networks formed by vertiports and flight corridors. We develop a routing algorithm to ensure that the air traffic flow fairly serves the demand of multiple communities subject to stochastic network capacity constraints. This algorithm guarantees that the flight traffic volume allocated to different communities satisfies the \\emph{alpha-fairness conditions}, a commonly used family of fairness conditions in resource allocation. It further ensures robust satisfaction of stochastic network capacity constraints by bounding the coherent risk measures of capacity violation. We prove that implementing the proposed algorithm is equivalent to solving a convex optimization problem. We demonstrate the proposed algorithm using a case study based on the city of Austin. Compared with one that maximizes the total served demands, the proposed algorithm promotes even distributions of served demands for different communities.", "keywords": [ "Bounding overwatch", "Routing (electronic design automation)", "Computer science", "Mathematical optimization", "Resource (disambiguation)", "Computer network", "Mathematics", "Artificial intelligence" ], "cited_by_openalex": 1, "cited_by_scopus": 0, "eid": null, "pii": null, "open_access_url": "https://arxiv.org/pdf/2310.00135", "sources": [ { "db": "openalex", "stream": "UAV", "query_id": "UAV-3" } ], "streams": [ "UAV" ], "relevance_signals": [ "UAV_NO_CTX" ], "auto_exclude_reason": "EC-4-topic", "screening_status": "auto_excluded", "screened_by": "auto-v1.0.0" }, { "id": "doi:10.1109/ocit59427.2023.10431349", "doi": "10.1109/ocit59427.2023.10431349", "title": "ANN Equalizer for Ultra-high Capacity Multiplexed IsOWC system", "year": 2023, "authors": [ "Utpal Das", "Bijayananda Patnaik", "Bibhudendra Acharya" ], "first_author": "Utpal Das", "venue": "Ocit 2023 21st International Conference on Information Technology Proceedings", "volume": null, "pages": "387-392", "type": "conference-paper", "language": "en", "abstract": "In the present scenario, ultra-high bit rate communication systems are highly indispensable for 5G and 6G wireless communication applications such as: live video streaming, autonomous driving, online gaming, drone-based delivery etc. For smooth operations, spectrally efficient and low bit error communication system are highly essential. But the conventional RF based systems cannot support this demand. So, to meet these ever-growing requirements, optical systems are the viable option. It enables ultra-high data rate (~ 40Gbps), ultra-low latency (<1ms), ultra reliable, wide range of coverage, integrating with air/space and under water networks. The optical wireless communication (OWC) system and inter-satellite optical wireless communication (IsOWC) technology look promising for meeting all these high demand applications. IsOWC system is a type of OWC setup that ensures faster data transfer between satellites in space. The key drawbacks of IsOWC system includes attenuation, pointing error, channel impairments, background noise etc. In this work, an IsOWC system is proposed with Dual Polarization Quadrature Phase Shift Keying (DP-QPSK) modulation and artificial neural network (ANN) based equalizer, which overcomes these challenges. Performance parameters like bit error rate (BER), time domain visualizers, link distance, OSNR are used here. The proposed model will be highly useful for upcoming ultra-high speed communication applications.", "keywords": [ "Equalizer", "Multiplexing", "Computer science", "Electronic engineering", "Telecommunications", "Engineering" ], "cited_by_openalex": 1, "cited_by_scopus": "1", "eid": "2-s2.0-85186643036", "pii": null, "open_access_url": "http://dx.doi.org/10.1109/ocit59427.2023.10431349", "sources": [ { "db": "openalex", "stream": "UAV", "query_id": "UAV-3" }, { "db": "scopus", "stream": "UAV", "query_id": "UAV-3" } ], "streams": [ "UAV" ], "relevance_signals": [ "UAV_NO_CTX" ], "auto_exclude_reason": "EC-4-topic", "screening_status": "auto_excluded", "screened_by": "auto-v1.0.0" }, { "id": "doi:10.2514/6.2023-1076", "doi": "10.2514/6.2023-1076", "title": "Object Detection for Ground-based Non-cooperative Surveillance in Urban Air Mobility Utilizing Lidar-Camera Fusion", "year": 2023, "authors": [ "Cheng Zhi Huang", "Ivan V. Petrunin", "Antonios Tsourdos" ], "first_author": "Cheng Zhi Huang", "venue": "AIAA SCITECH 2023 Forum", "volume": null, "pages": null, "type": "conference-paper", "language": "en", "abstract": "View Video Presentation: https://doi.org/10.2514/6.2023-1076.vid Public safety and security are critical components in the Concept of Operations (ConOps) for Urban Air Mobility (UAM). The potential flight conflicts posed to air and ground objects need to be assessed, especially near critical regions and infrastructures, e.g. vertiports. In this sense, all targets, whether cooperative or non-cooperative air and ground targets, should be detected and tracked for conflict and risk assessment. To achieve this goal, ground-based non-cooperative sensors like cameras and lidar are utilized for situational awareness in this paper. In addition, a multi-modal dataset that contains both air and ground objects is constructed in different illumination and foggy weather scenarios. Finally, a lidar-camera fusion framework with multi-resolution voxelization and depth map learning is proposed for data-driven object detection. Experiments on the constructed dataset show the failure of existing lidar-based backbones in learning extremely sparse points, as a comparison, the fusion framework is outstanding in distinguishing air and ground objects, meanwhile, enabling resilient detection in various lighting and clearance conditions.", "keywords": [ "Lidar", "Computer science", "Object detection", "Situation awareness", "Sensor fusion", "Artificial intelligence", "Computer vision", "Visibility", "Remote sensing", "Geography", "Meteorology", "Pattern recognition (psychology)" ], "cited_by_openalex": 1, "cited_by_scopus": 0, "eid": null, "pii": null, "open_access_url": "https://dspace.lib.cranfield.ac.uk/handle/1826/19175", "sources": [ { "db": "openalex", "stream": "UAV", "query_id": "UAV-3" } ], "streams": [ "UAV" ], "relevance_signals": [ "UAV_NO_CTX" ], "auto_exclude_reason": "EC-4-topic", "screening_status": "auto_excluded", "screened_by": "auto-v1.0.0" }, { "id": "doi:10.48550/arxiv.2306.05581", "doi": "10.48550/arxiv.2306.05581", "title": "Risk-aware Urban Air Mobility Network Design with Overflow Redundancy", "year": 2023, "authors": [ "Qinshuang Wei", "Zhenyu Gao", "John-Paul Clarke", "Ufuk Topcu" ], "first_author": "Qinshuang Wei", "venue": "arXiv (Cornell University)", "volume": null, "pages": null, "type": "preprint", "language": "en", "abstract": "Urban air mobility (UAM), as envisioned by aviation professionals, will transport passengers and cargo at low altitudes within urban and suburban areas. To operate in urban environments, precise air traffic management, in particular the management of traffic overflows due to physical and operational disruptions will be critical to ensuring system safety and efficiency. To this end, we propose UAM network design with reserve capacity, i.e., a design where alternative landing options and flight corridors are explicitly considered as a means of improving contingency management. Similar redundancy considerations are incorporated in the design of many critical infrastructures, yet remain unexploited in the air transportation literature. In our methodology, we first model how disruptions to a given UAM network might impact on the nominal traffic flow and how this flow might be re-accommodated on an extended network with reserve capacity. Then, through an optimization problem, we select the locations and capacities for the backup vertiports with the maximal expected throughput of the extended network over all possible disruption scenarios, while the throughput is the maximal amount of flights that the network can accommodate per unit of time. We show that we can obtain the solution for the corresponding bi-level and bi-linear optimization problem by solving a mixed-integer linear program. We demonstrate our methodology in the case study using networks from Milwaukee, Atlanta, and Dallas--Fort Worth metropolitan areas and show how the throughput and flexibility of the UAM networks with reserve capacity can outcompete those without.", "keywords": [ "Metropolitan area", "Backup", "Redundancy (engineering)", "Network planning and design", "Computer science", "Flow network", "Aviation", "Flexibility (engineering)", "Throughput", "Air traffic management", "Air traffic control", "Transport engineering" ], "cited_by_openalex": 1, "cited_by_scopus": 0, "eid": null, "pii": null, "open_access_url": "https://arxiv.org/pdf/2306.05581", "sources": [ { "db": "openalex", "stream": "UAV", "query_id": "UAV-3" } ], "streams": [ "UAV" ], "relevance_signals": [ "UAV_NO_CTX" ], "auto_exclude_reason": "EC-4-topic", "screening_status": "auto_excluded", "screened_by": "auto-v1.0.0" }, { "id": "doi:10.1109/icns58246.2023.10124251", "doi": "10.1109/icns58246.2023.10124251", "title": "Resolution of Potential Conflicts caused by Contingency Events in an AAM Traffic Network", "year": 2023, "authors": [ "Arinc Tutku Altun", "Barış Başpınar", "Yan Xu", "Gökhan İnalhan", "Michael W. Hardt" ], "first_author": "Arinc Tutku Altun", "venue": null, "volume": null, "pages": null, "type": "conference-paper", "language": "en", "abstract": "This study presents an approach for pre-flight replanning process to be used in the future Advanced Air Mobility (AAM) system especially after contingency situations and relevant activities take place. The methodology for pre-flight replanning phase is analyzed and modeled in two steps as optimization based potential conflict resolution and demand capacity balancing, which respectively provides safety for the surrounding traffic and efficiency for the traffic network in case of a contingency. These two models can work iteratively to achieve pre-flight replanning for the Unmanned Aircraft System Traffic Management (UTM). The developed pre-flight replanning model can also be used at strategic planning phase. For the use cases, a very large UTM traffic network is considered to have a highly dense traffic environment since the expected complexity is high with the AAM system and to show the efficiency and scalability of the models. Two use cases are examined. First one is about initial flight planning where the conflicted flight plans are safely separated and balance in demand and capacity at vertiports is provided. Second scenario is related to potential conflict resolution for the flights at pre-tactical phase after contingency events observed within the network and demand-capacity balancing after safety related events are resolved. The main objective of this work is to develop a pre-flight replanning service to work compatible with contingency management activities to build the introduced system-wide contingency management concept for the AAM system.", "keywords": [ "Contingency", "Contingency plan", "Computer science", "Scalability", "Air traffic control", "Work (physics)", "Process (computing)", "Transport engineering", "Operations research", "Simulation", "Engineering", "Computer security" ], "cited_by_openalex": 1, "cited_by_scopus": 0, "eid": null, "pii": null, "open_access_url": "https://dspace.lib.cranfield.ac.uk/bitstreams/6f46424b-ea10-463d-836c-3708d90ce9ff/download", "sources": [ { "db": "openalex", "stream": "UAV", "query_id": "UAV-3" } ], "streams": [ "UAV" ], "relevance_signals": [ "UAV_NO_CTX" ], "auto_exclude_reason": "EC-4-topic", "screening_status": "auto_excluded", "screened_by": "auto-v1.0.0" }, { "id": "doi:10.1109/itsc57777.2023.10422484", "doi": "10.1109/itsc57777.2023.10422484", "title": "Integrated Taxiing and TLOF pad Scheduling Using Different Surface Directions with Fairness Analysis", "year": 2023, "authors": [ "Ravi Raj Saxena", "Tejas D Joshi", "Yashashav DK", "T. V. Prabhakar", "Joy Kuri" ], "first_author": "Ravi Raj Saxena", "venue": "IEEE Conference on Intelligent Transportation Systems Proceedings ITSC", "volume": null, "pages": "1747-1752", "type": "conference-paper", "language": "en", "abstract": "Vertical Take-Off and Landing (VTOL) vehicles have gained immense popularity in the delivery drone market and are now being developed for passenger transportation in urban areas to efficiently enable Urban Air Mobility (UAM). UAM aims to utilize the urban airspace to address the problem of heavy road congestion in dense urban cities. VTOL vehicles require vertiport terminals for landing, take-off, refuelling (or charging), and maintenance. An efficient scheduling algorithm is essential to maximize the throughput of the vertiport terminal while maintaining safety protocols to handle the UAM traffic. While traditional departure and taxiing operations can be applied in the context of vertiport terminals, specific algorithms are required for take-off and landing schedules. Unlike fixed-wing aircraft that require a runway to take-off and climb in a single direction, VTOL vehicles can approach and climb in several directions. We propose a Mixed Integer Linear Program (MILP) formulation to schedule flights for taxiing and climbing in multiple directions after take-off. Our results show that increasing the number of climbing directions can reduce delays by over 50%. We also introduce a fairness metric to ensure a uniform delay distribution.", "keywords": [ "Computer science", "Scheduling (production processes)", "Processor scheduling", "Mathematical optimization", "Mathematics", "Computer network" ], "cited_by_openalex": 0, "cited_by_scopus": "1", "eid": "2-s2.0-85186519519", "pii": null, "open_access_url": "http://dx.doi.org/10.1109/itsc57777.2023.10422484", "sources": [ { "db": "openalex", "stream": "UAV", "query_id": "UAV-3" }, { "db": "scopus", "stream": "UAV", "query_id": "UAV-3" } ], "streams": [ "UAV" ], "relevance_signals": [ "UAV_NO_CTX" ], "auto_exclude_reason": "EC-4-topic", "screening_status": "auto_excluded", "screened_by": "auto-v1.0.0" }, { "id": "doi:10.1109/dasc58513.2023.10311230", "doi": "10.1109/dasc58513.2023.10311230", "title": "Safety and Capacity Analysis Framework for Integrated UAM Operation in Airports", "year": 2023, "authors": [ "Naomi Hani Gray", "Suyoung Shin", "Seokbin Yoon", "Yulim Park", "Hongah Chai", "Keumjin Lee", "H S Kim", "Se-Yeon Jung" ], "first_author": "Naomi Hani Gray", "venue": "AIAA IEEE Digital Avionics Systems Conference Proceedings", "volume": null, "pages": null, "type": "conference-paper", "language": "en", "abstract": "This paper investigates a method for the safe integration of urban air mobility (UAM) into controlled airspace while also analyzing its impact on the capacity of conventional aircraft runways. The proposed method consists of two main steps: route design and runway capacity assessment. In the first step, the UAM route is designed to maintain safe distances from obstacles and conventional traffic around the airport. In the second step, the impact of the route designed in the first step on runway capacity is assessed. The proposed method was applied to a potential vertiport location at Incheon International Airport using real traffic and obstacle data. The results demonstrated that the proposed method could assist decision-makers in comprehending various safety factors that influence the feasibility of UAM operations.", "keywords": [ "Runway", "Obstacle", "ASDE-X", "Air traffic control", "Transport engineering", "Computer science", "Separation (statistics)", "International airport", "Engineering", "Aerospace engineering" ], "cited_by_openalex": 0, "cited_by_scopus": "1", "eid": "2-s2.0-85178656771", "pii": null, "open_access_url": "https://doi.org/10.1109/dasc58513.2023.10311230", "sources": [ { "db": "openalex", "stream": "UAV", "query_id": "UAV-3" }, { "db": "scopus", "stream": "UAV", "query_id": "UAV-3" } ], "streams": [ "UAV" ], "relevance_signals": [ "UAV_NO_CTX" ], "auto_exclude_reason": "EC-4-topic", "screening_status": "auto_excluded", "screened_by": "auto-v1.0.0" }, { "id": "doi:10.2514/6.2023-3265", "doi": "10.2514/6.2023-3265", "title": "Effects of Communication Modality on Pilot-Controller Coordination during a Simulated m:N Operation", "year": 2023, "authors": [ "Garrett G. Sadler", "Meghan Chandarana", "Jillian N. Keeler" ], "first_author": "Garrett G. Sadler", "venue": "AIAA Aviation and Aeronautics Forum and Exposition AIAA Aviation Forum 2023", "volume": null, "pages": null, "type": "conference-paper", "language": "en", "abstract": "View Video Presentation: https://doi.org/10.2514/6.2023-3265.vid The last decade or so has seen growing interest in new control paradigms and concepts of operation for uncrewed aircraft systems (UAS) in which multiple aircraft are piloted remotely by a single or relatively small number of people. Referred to as “one-to-many” and “many-to-many” (alternatively, “multi-operator, multi-vehicle”)—and frequently expressed as the corresponding ratios, 1:N and m:N—such novel configurations of aircraft and the people who manage them are seen as critical to the path to future operations involving UAS. Examples of industry domains interested in these control paradigms are small package delivery services utilizing small UAS and passenger-carrying, short-range “Urban Air Mobility” (UAM) operations. Stakeholders in such operations have identified communication and coordination of flight activity with air traffic controllers (ATC) as a barrier to operations. In contrast to present-day flight operations, in which a pilot communicates with one ATC on one radio frequency for one aircraft, multi-vehicle operations potentially entail a significant increase in pilot task load for management of comms. New concepts, such as UAS Service Suppliers (USSs) and Providers of Services to UAM (PSUs), have been proposed to address the known bottleneck for Air Traffic Management (ATM) presented by multi-vehicle operations. Although progress has been steadily made over years developing USSs and PSUs, it is generally expected that initial UAM operations will rely on traditional voice-over-radio communication with ATC for purposes of ATM. The current study was a human-in-the-loop simulation that had participants, each possessing a Private Pilot License, act as the ground-based pilot-in-command for multiple vehicles in a hypothetical UAM service in the San Francisco Bay Area. The experiment utilized a 2-by-3, within-subjects design in which the pilot’s Vehicle Load (4 vs. 12) and Comm System (Voice, Datalink, and a Hybrid) were manipulated. The task given to pilots was to use the Comm System to coordinate flight activity for all aircraft with appropriate controllers, having to obtain departure and arrival clearances at “vertiport” facilities and transition clearances for any intermediate airspaces along the route. Pilots were additionally responsible for compliance with vectoring instructions issued by ATC. Subjective workload questionnaires (NASA-TLX) were administered following each experimental trial. Screen recordings of the pilot’s Ground Control Station (GCS) and audio recordings of trials were subsequently coded to obtain performance metrics: response times and error rates. Presented in this paper are results related to pilot responses to vectoring instructions issued by ATC. Workload was found to be significantly higher in the 12-Vehicle condition compared to the 4-Vehicle condition, nearly maxing out the NASA-TLX overall workload scale. There was no significant difference made by the Comm System on workload ratings. Pilots’ response times to communications were fastest in the Voice condition, although overall “service time” for compliance was shorter in Datalink and Hybrid conditions in most cases. Errors by pilots were frequent in both Vehicle Load conditions, most perniciously when using the Voice system. The results of this study suggest tradeoffs in advantages and disadvantages of the three comm systems. Recommendations for communication system design are provided taking the tradeoffs into account.", "keywords": [ "Air traffic control", "Bottleneck", "Air traffic management", "Controller (irrigation)", "Computer science", "Service (business)", "Control (management)", "Task (project management)", "Communications system", "Engineering", "Telecommunications", "Systems engineering" ], "cited_by_openalex": 0, "cited_by_scopus": "1", "eid": "2-s2.0-85199929874", "pii": null, "open_access_url": "https://doi.org/10.2514/6.2023-3265", "sources": [ { "db": "openalex", "stream": "UAV", "query_id": "UAV-3" }, { "db": "scopus", "stream": "UAV", "query_id": "UAV-3" } ], "streams": [ "UAV" ], "relevance_signals": [ "UAV" ], "auto_exclude_reason": null, "screening_status": "pending_human_screening", "screened_by": "auto-v1.0.0" }, { "id": "title:the parking imperative a safe and healthy supply chain rests with truck parking", "doi": null, "title": "THE PARKING IMPERATIVE: A Safe and Healthy Supply Chain Rests with Truck Parking", "year": 2023, "authors": [ "Hughes C." ], "first_author": "Hughes C.", "venue": "Public Roads", "volume": "86", "pages": "32-41", "type": "Article", "language": null, "abstract": null, "keywords": [], "cited_by_openalex": 0, "cited_by_scopus": "1", "eid": "2-s2.0-85160601022", "pii": null, "open_access_url": null, "sources": [ { "db": "scopus", "stream": "TRUCK", "query_id": "TRUCK-1" } ], "streams": [ "TRUCK" ], "relevance_signals": [ "TRUCK_NO_CTX" ], "auto_exclude_reason": "EC-4-topic", "screening_status": "auto_excluded", "screened_by": "auto-v1.0.0" }, { "id": "doi:10.13284/j.cnki.rddl.003745", "doi": "10.13284/j.cnki.rddl.003745", "title": "Intra-City Logistics Connection and Network Structure from the Perspective of Flow Space: A Case Study of Shenzhen City", "year": 2023, "authors": [ "Zhou H." ], "first_author": "Zhou H.", "venue": "Tropical Geography", "volume": "43", "pages": "1917-1928", "type": "Article", "language": null, "abstract": null, 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"2-s2.0-85185533396", "pii": null, "open_access_url": null, "sources": [ { "db": "scopus", "stream": "UAV", "query_id": "UAV-3" } ], "streams": [ "UAV" ], "relevance_signals": [ "UAV_NO_CTX" ], "auto_exclude_reason": "EC-4-topic", "screening_status": "auto_excluded", "screened_by": "auto-v1.0.0" }, { "id": "doi:10.1007/978-3-031-42536-3_30", "doi": "10.1007/978-3-031-42536-3_30", "title": "An Approach of Optimisation in Last Mile Delivery", "year": 2023, "authors": [ "Dragan Simić", "JOSE LUIS CALVO ROLLE", "Jose Ramon Villar", "Vladimir Ilin", "Svetislav D. Simić", "Svetlana Simić" ], "first_author": "Dragan Simić", "venue": "Lecture notes in networks and systems", "volume": "750 LNNS", "pages": "311-320", "type": "conference-paper", "language": "en", "abstract": null, "keywords": [ "Truck", "Mile", "Last mile (transportation)", "Drone", "Vehicle routing problem", "Transport engineering", "Routing (electronic design automation)", "Computer science", "Product (mathematics)", "Environmental economics", "Business", "Operations research" ], "cited_by_openalex": 1, "cited_by_scopus": "0", "eid": "2-s2.0-85172720020", "pii": null, "open_access_url": "https://doi.org/10.1007/978-3-031-42536-3_30", "sources": [ { "db": "openalex", "stream": "TRUCK", "query_id": "TRUCK-1" }, { "db": "openalex", "stream": "UAV", "query_id": "UAV-1" }, { "db": "scopus", "stream": "TRUCK", "query_id": "TRUCK-1" }, { "db": "scopus", "stream": "UAV", "query_id": "UAV-1" } ], "streams": [ "TRUCK", "UAV" ], "relevance_signals": [ "UAV", "TRUCK" ], "auto_exclude_reason": null, "screening_status": "pending_human_screening", "screened_by": "auto-v1.0.0" }, { "id": "doi:10.48550/arxiv.2306.04219", "doi": "10.48550/arxiv.2306.04219", "title": "A Decomposition Approach to Last Mile Delivery Using Public Transportation Systems", "year": 2023, "authors": [ "Minakshi Punam Mandal", "Claudia Archetti" ], "first_author": "Minakshi Punam Mandal", "venue": "arXiv (Cornell University)", "volume": null, "pages": null, "type": "preprint", "language": "en", "abstract": "This study explores the potential of using public transportation systems for freight delivery, where we intend to utilize the spare capacities of public vehicles like buses, trams, metros, and trains, particularly during off-peak hours, to transport packages within the city instead of using dedicated delivery vehicles. The study contributes {to the growing} literature on innovative strategies for performing sustainable last mile deliveries. We study an operational level problem called the Three-Tier Delivery Problem on Public Transportation, where packages are first transported from the Consolidation and Distribution Center (CDC) to nearby public vehicle stations by delivery trucks. From there, public vehicles transport them into the city area. The last leg of the delivery is performed to deliver the packages to their respective customers using green vehicles or eco-friendly systems. We propose mixed-integer linear programming formulations to study the transport of packages from the CDC to the customers, use decomposition approaches to solve them, and provide numerical experiments to demonstrate the efficiency and effectiveness of the system. Our results show that this system has the potential to drastically reduce the length of trips performed by dedicated delivery vehicles, thereby reducing the negative social and environmental impacts of existing last mile delivery systems.", "keywords": [ "Mile", "Decomposition", "Last mile (transportation)", "Public transport", "Computer science", "Transport engineering", "Engineering", "Geography", "Geodesy", "Chemistry" ], "cited_by_openalex": 0, "cited_by_scopus": 0, "eid": null, "pii": null, "open_access_url": "https://arxiv.org/pdf/2306.04219", "sources": [ { "db": "openalex", "stream": "TRUCK", "query_id": "TRUCK-1" }, { "db": "openalex", "stream": "TRUCK", "query_id": "TRUCK-1" } ], "streams": [ "TRUCK" ], "relevance_signals": [ "TRUCK" ], "auto_exclude_reason": null, "screening_status": "pending_human_screening", "screened_by": "auto-v1.0.0" }, { "id": "doi:10.6084/m9.figshare.22548349.v4", "doi": "10.6084/m9.figshare.22548349.v4", "title": "Cooperative trucks and drones for rural last-mile delivery with steep roads", "year": 2023, "authors": [ "Anonymous author" ], "first_author": "Anonymous author", "venue": "Figshare", "volume": null, "pages": null, "type": "dataset", "language": "en", "abstract": "The following instances are originally presented in the paper Cooperative trucks and drones for rural last-mile delivery with steep roads. The data includes 96 instances corresponding to different scales and scenarios. Each instance is named \"n. d. m. h\", where n is the number of customers, d represents the dimension of the grid, m is the generic name of the scenarios with different coordinates and demands, and h refers to the generic name of the altitude scenarios. The first column of each instance file indicates Coordinate X of each customer. The second and third columns are Coordinate Y and Demand, respectively. The last column is Altitude. Finally, there is an extra file, named Supplemental online material, which provides the following appendices： Appendix A: Provides calculations about the main parameters of drone energy consumption. Appendix B: Discusses the differences between the proposed problem with GVRPD and GVRP-SR. Appendix C: Provides the detailed principles for generating benchmark instances. Appendix D: Provides information about the value of the parameters in the main configuration of the problem.", "keywords": [ "Mile", "Truck", "Drone", "Last mile (transportation)", "Aeronautics", "Geography", "Transport engineering", "Engineering", "Automotive engineering", "Biology", "Geodesy" ], "cited_by_openalex": 0, "cited_by_scopus": 0, "eid": null, "pii": null, "open_access_url": "https://doi.org/10.6084/m9.figshare.22548349.v4", "sources": [ { "db": "openalex", "stream": "TRUCK", "query_id": "TRUCK-1" }, { "db": "openalex", "stream": "UAV", "query_id": "UAV-1" } ], "streams": [ "TRUCK", "UAV" ], "relevance_signals": [ "UAV", "TRUCK" ], "auto_exclude_reason": null, "screening_status": "pending_human_screening", "screened_by": "auto-v1.0.0" }, { "id": "doi:10.6084/m9.figshare.22548349.v1", "doi": "10.6084/m9.figshare.22548349.v1", "title": "Cooperative trucks and drones for rural last-mile delivery with steep roads", "year": 2023, "authors": [ "Jiuhong Xiao" ], "first_author": "Jiuhong Xiao", "venue": "Figshare", "volume": null, "pages": null, "type": "dataset", "language": "en", "abstract": "The following instances are originally presented in the paper Cooperative trucks and drones for rural last-mile delivery with steep roads. The data includes 96 instances corresponding to different scales and scenarios. Each instance is named \"n. d. m. h\", where n is the number of customers, d represents the dimension of the grid, m is the generic name of the scenarios with different coordinates and demands, and h refers to the generic name of the altitude scenarios. The first column of each instance file indicates Coordinate X of each customer. The second and third columns are Coordinate Y and Demand, respectively. The last column is Altitude. Finally, there is an extra file, named Supplemental online material, which provides the following appendices： Appendix A: Provides calculations about the main parameters of drone energy consumption. Appendix B: Discusses the differences between the proposed problem with GVRPD and GVRP-SR. Appendix C: Provides the detailed principles for generating benchmark instances. Appendix D: Provides information about the value of the parameters in the main configuration of the problem.", "keywords": [ "Mile", "Truck", "Drone", "Last mile (transportation)", "Transport engineering", "Aeronautics", "Engineering", "Geography", "Automotive engineering" ], "cited_by_openalex": 0, "cited_by_scopus": 0, "eid": null, "pii": null, "open_access_url": "https://doi.org/10.6084/m9.figshare.22548349.v1", "sources": [ { "db": "openalex", "stream": "TRUCK", "query_id": "TRUCK-1" }, { "db": "openalex", "stream": "UAV", "query_id": "UAV-1" } ], "streams": [ "TRUCK", "UAV" ], "relevance_signals": [ "UAV", "TRUCK" ], "auto_exclude_reason": null, "screening_status": "pending_human_screening", "screened_by": "auto-v1.0.0" }, { "id": "doi:10.6084/m9.figshare.22548349.v3", "doi": "10.6084/m9.figshare.22548349.v3", "title": "Cooperative trucks and drones for rural last-mile delivery with steep roads", "year": 2023, "authors": [ "Anonymous author" ], "first_author": "Anonymous author", "venue": "Figshare", "volume": null, "pages": null, "type": "dataset", "language": "en", "abstract": "The following instances are originally presented in the paper Cooperative trucks and drones for rural last-mile delivery with steep roads. The data includes 96 instances corresponding to different scales and scenarios. Each instance is named \"n. d. m. h\", where n is the number of customers, d represents the dimension of the grid, m is the generic name of the scenarios with different coordinates and demands, and h refers to the generic name of the altitude scenarios. The first column of each instance file indicates Coordinate X of each customer. The second and third columns are Coordinate Y and Demand, respectively. The last column is Altitude. Finally, there is an extra file, named Supplemental online material, which provides the following appendices： Appendix A: Provides calculations about the main parameters of drone energy consumption. Appendix B: Discusses the differences between the proposed problem with GVRPD and GVRP-SR. Appendix C: Provides the detailed principles for generating benchmark instances. Appendix D: Provides information about the value of the parameters in the main configuration of the problem.", "keywords": [ "Mile", "Truck", "Drone", "Last mile (transportation)", "Transport engineering", "Aeronautics", "Geography", "Engineering", "Biology", "Automotive engineering" ], "cited_by_openalex": 0, "cited_by_scopus": 0, "eid": null, "pii": null, "open_access_url": "https://doi.org/10.6084/m9.figshare.22548349.v3", "sources": [ { "db": "openalex", "stream": "TRUCK", "query_id": "TRUCK-1" }, { "db": "openalex", "stream": "UAV", "query_id": "UAV-1" } ], "streams": [ "TRUCK", "UAV" ], "relevance_signals": [ "UAV", "TRUCK" ], "auto_exclude_reason": null, "screening_status": "pending_human_screening", "screened_by": "auto-v1.0.0" }, { "id": "doi:10.6084/m9.figshare.22548349.v2", "doi": "10.6084/m9.figshare.22548349.v2", "title": "Cooperative trucks and drones for rural last-mile delivery with steep roads", "year": 2023, "authors": [ "Jiuhong Xiao" ], "first_author": "Jiuhong Xiao", "venue": "Figshare", "volume": null, "pages": null, "type": "dataset", "language": "en", "abstract": "The following instances are originally presented in the paper Cooperative trucks and drones for rural last-mile delivery with steep roads. The data includes 96 instances corresponding to different scales and scenarios. Each instance is named \"n. d. m. h\", where n is the number of customers, d represents the dimension of the grid, m is the generic name of the scenarios with different coordinates and demands, and h refers to the generic name of the altitude scenarios. The first column of each instance file indicates Coordinate X of each customer. The second and third columns are Coordinate Y and Demand, respectively. The last column is Altitude. Finally, there is an extra file, named Supplemental online material, which provides the following appendices： Appendix A: Provides calculations about the main parameters of drone energy consumption. Appendix B: Discusses the differences between the proposed problem with GVRPD and GVRP-SR. Appendix C: Provides the detailed principles for generating benchmark instances. Appendix D: Provides information about the value of the parameters in the main configuration of the problem.", "keywords": [ "Mile", "Truck", "Drone", "Last mile (transportation)", "Geography", "Transport engineering", "Aeronautics", "Engineering", "Biology", "Automotive engineering" ], "cited_by_openalex": 0, "cited_by_scopus": 0, "eid": null, "pii": null, "open_access_url": "https://doi.org/10.6084/m9.figshare.22548349.v2", "sources": [ { "db": "openalex", "stream": "TRUCK", "query_id": "TRUCK-1" }, { "db": "openalex", "stream": "UAV", "query_id": "UAV-1" } ], "streams": [ "TRUCK", "UAV" ], "relevance_signals": [ "UAV", "TRUCK" ], "auto_exclude_reason": null, "screening_status": "pending_human_screening", "screened_by": "auto-v1.0.0" }, { "id": "doi:10.6084/m9.figshare.22548349", "doi": "10.6084/m9.figshare.22548349", "title": "Cooperative trucks and drones for rural last-mile delivery with steep roads", "year": 2023, "authors": [ "Anonymous author" ], "first_author": "Anonymous author", "venue": "Figshare", "volume": null, "pages": null, "type": "dataset", "language": "en", "abstract": "The following instances are originally presented in the paper Cooperative trucks and drones for rural last-mile delivery with steep roads. The data includes 96 instances corresponding to different scales and scenarios. Each instance is named \"n. d. m. h\", where n is the number of customers, d represents the dimension of the grid, m is the generic name of the scenarios with different coordinates and demands, and h refers to the generic name of the altitude scenarios. The first column of each instance file indicates Coordinate X of each customer. The second and third columns are Coordinate Y and Demand, respectively. The last column is Altitude. Finally, there is an extra file, named Supplemental online material, which provides the following appendices： Appendix A: Provides calculations about the main parameters of drone energy consumption. Appendix B: Discusses the differences between the proposed problem with GVRPD and GVRP-SR. Appendix C: Provides the detailed principles for generating benchmark instances. Appendix D: Provides information about the value of the parameters in the main configuration of the problem.", "keywords": [ "Mile", "Truck", "Drone", "Last mile (transportation)", "Transport engineering", "Aeronautics", "Engineering", "Geography", "Automotive engineering" ], "cited_by_openalex": 0, "cited_by_scopus": 0, "eid": null, "pii": null, "open_access_url": "https://doi.org/10.6084/m9.figshare.22548349", "sources": [ { "db": "openalex", "stream": "TRUCK", "query_id": "TRUCK-1" }, { "db": "openalex", "stream": "UAV", "query_id": "UAV-1" } ], "streams": [ "TRUCK", "UAV" ], "relevance_signals": [ "UAV", "TRUCK" ], "auto_exclude_reason": null, "screening_status": "pending_human_screening", "screened_by": "auto-v1.0.0" }, { "id": "doi:10.46254/ap04.20230137", "doi": "10.46254/ap04.20230137", "title": "A MILP Model for Single Depot, Single Truck and Multiple Drones for Last-Mile Delivery Problem", "year": 2023, "authors": [ "Saloni Jangid", "Rupkatha Ghosh", "Muthu Mathirajan" ], "first_author": "Saloni Jangid", "venue": null, "volume": null, "pages": null, "type": "conference-paper", "language": "en", "abstract": "The high volume of daily e-commerce shipments in major urban areas require today's technology of drones for lastmile delivery (LMD) of parcels.The traditional method of delivering parcels using trucks is time-consuming due to traffic congestion, impeding their timely delivery.On the other hand, drones can avoid traffic congestion by flying over road networks.However, drones have a limited flight endurance due to their battery capacity constraints.At the same time, trucks possess long-haul capabilities.Hence, for achieving an efficient LMD, both trucks and drones should be integrated to offset each other's disadvantages.This paper addresses one such truck-drone based last-mile delivery (TD-LMD) problem.There are plenty of studies which have investigated TD-LMD problem with different configurations.For our study, we examine the TD-LMD problems involving single depot, single truck and multiple drones (SD-ST-MD) configuration.In the literature, various researchers have used mathematical models and heuristics to address this problem.In our study, we consider one Mixed-Integer Linear Programming (MILP) model given in the existing literature for the TD-LMD problem with SD-ST-MD configuration and relax one of their assumptions to give it a new dimension.In the process of extending the MILP model, we also introduce the CO2 emission cost along with the economic cost for optimizing the TD-LMD problem.Accordingly, the workability of the MILP model is tested using a tiny numerical example and solved through developing a code in the Python-MILP solver module.Further, the computational complexity is analyzed by increasing the number of nodes in the SD-ST-MD based TD-LMD problem.", "keywords": [ "Last mile (transportation)", "Mile", "Truck", "Drone", "Computer science", "Depot", "Transport engineering", "Engineering", "Automotive engineering", "Geography" ], "cited_by_openalex": 0, "cited_by_scopus": 0, "eid": null, "pii": null, "open_access_url": "https://ieomsociety.org/proceedings/2023vietnam/137.pdf", "sources": [ { "db": "openalex", "stream": "TRUCK", "query_id": "TRUCK-1" }, { "db": "openalex", "stream": "TRUCK", "query_id": "TRUCK-3" }, { "db": "openalex", "stream": "UAV", "query_id": "UAV-1" } ], "streams": [ "TRUCK", "UAV" ], "relevance_signals": [ "UAV", "TRUCK" ], "auto_exclude_reason": null, "screening_status": "pending_human_screening", "screened_by": "auto-v1.0.0" }, { "id": "doi:10.48550/arxiv.2308.16408", "doi": "10.48550/arxiv.2308.16408", "title": "Last Mile Delivery with Drones and Sharing Economy", "year": 2023, "authors": [ "Mehdi Behroozi", "Dinghao Ma" ], "first_author": "Mehdi Behroozi", "venue": "arXiv (Cornell University)", "volume": null, "pages": null, "type": "preprint", "language": "en", "abstract": "We consider a combined system of regular delivery trucks and crowdsourced drones, available via a sharing economy platform, to provide a technology-assisted crowd-based last-mile delivery experience. We develop analytical models and methods for a system in which package delivery is performed by a big truck carrying many packages to a neighborhood or a town in a metropolitan area and then the packages are assigned to crowdsourced drone operators to deliver them to their final destinations. We develop several optimization models for various cases of the problem and use a combination of heuristic algorithms to solve this NP-hard problem. Finally, we present computational results for the models and algorithms, and conduct an exhaustive sensitivity analysis to check the influence of different parameters and assumptions on the final results. We also provide extensive managerial insights on the benefits of our proposed model if implemented in practice.", "keywords": [ "Drone", "Computer science", "Truck", "Heuristic", "Last mile (transportation)", "Metropolitan area", "Crowdsourcing", "Sharing economy", "Operations research", "Mile", "Engineering", "Artificial intelligence" ], "cited_by_openalex": 0, "cited_by_scopus": 0, "eid": null, "pii": null, "open_access_url": "https://arxiv.org/pdf/2308.16408", "sources": [ { "db": "openalex", "stream": "TRUCK", "query_id": "TRUCK-1" }, { "db": "openalex", "stream": "UAV", "query_id": "UAV-1" } ], "streams": [ "TRUCK", "UAV" ], "relevance_signals": [ "UAV", "TRUCK" ], "auto_exclude_reason": null, "screening_status": "pending_human_screening", "screened_by": "auto-v1.0.0" }, { "id": "doi:10.29121/ijetmr.v10.i12.2023.1642", "doi": "10.29121/ijetmr.v10.i12.2023.1642", "title": "E-COMMERCE AND THE EVOLUTION OF LAST-MILE DELIVERY: MEETING CUSTOMER EXPECTATIONS", "year": 2023, "authors": [ "Prakash Divakaran", "Vandana Mishra Chaturvedi" ], "first_author": "Prakash Divakaran", "venue": "International Journal of Engineering Technologies and Management Research", "volume": null, "pages": null, "type": "article", "language": "en", "abstract": "E-commerce has transformed retail, offering customers ease and accessibility like never before. However, the last-mile delivery, the product's last leg from the distribution center to the customer's doorstep, has become a major hurdle for e-commerce enterprises. This abstract examines how e-commerce businesses are adapting to shifting consumer expectations in last-mile delivery. The abstract opens with e-commerce's fast expansion and influence on conventional retail methods. It underlines the trend toward online buying, which increases demand for efficient and rapid delivery services. The abstract then discusses last-mile delivery and consumer satisfaction. Delivery speed, adaptability, openness, and sustainability affect client expectations. The abstract also discusses last-mile delivery improvements. Drones, autonomous trucks, and smart lockers improve delivery efficiency and convenience. Crowd shipping, which uses local resources to improve last-mile operations, is also examined. The abstract highlights e-commerce enterprises' last-mile delivery issues. It covers urban congestion, unsuccessful deliveries, refunds, and transportation environmental effect. To satisfy client expectations, sustainable and eco-friendly delivery options are needed. Finally, the abstract emphasizes customer-centric last-mile delivery. Real-time monitoring, proactive communication, and customizable delivery choices improve customer experience. To maximize last-mile operations, e-commerce enterprises, logistics providers, and local stakeholders should collaborate. This abstract illuminates e-commerce last-mile delivery. It emphasizes the necessity of satisfying consumer expectations in this key phase of the delivery process and gives insights into the methods and technologies used by e-commerce enterprises to improve last-mile delivery and customer happiness.", "keywords": [ "Mile", "Last mile (transportation)", "Business", "Mobile commerce", "Marketing", "Geography" ], "cited_by_openalex": 0, "cited_by_scopus": 0, "eid": null, "pii": null, "open_access_url": "https://www.granthaalayahpublication.org/ijetmr-ojms/ijetmr/article/download/1642/1361", "sources": [ { "db": "openalex", "stream": "TRUCK", "query_id": "TRUCK-1" }, { "db": "openalex", "stream": "UAV", "query_id": "UAV-1" } ], "streams": [ "TRUCK", "UAV" ], "relevance_signals": [ "UAV", "TRUCK" ], "auto_exclude_reason": null, "screening_status": "pending_human_screening", "screened_by": "auto-v1.0.0" }, { "id": "doi:10.2139/ssrn.4484149", "doi": "10.2139/ssrn.4484149", "title": "Approximation Algorithms to Find Minimum Number of Drones for Last-Mile Delivery", "year": 2023, "authors": [ "Partha Sarathi Mandal", "Saswata Jana", "Partha Sarathi Mandal" ], "first_author": "Partha Sarathi Mandal", "venue": "SSRN Electronic Journal", "volume": null, "pages": null, "type": "preprint", "language": "en", "abstract": null, "keywords": [ "Drone", "Mile", "Last mile (transportation)", "Computer science", "Algorithm", "Mathematics", "Geography", "Geodesy" ], "cited_by_openalex": 0, "cited_by_scopus": 0, "eid": null, "pii": null, "open_access_url": "https://doi.org/10.2139/ssrn.4484149", "sources": [ { "db": "openalex", "stream": "TRUCK", "query_id": "TRUCK-1" }, { "db": "openalex", "stream": "UAV", "query_id": "UAV-1" } ], "streams": [ "TRUCK", "UAV" ], "relevance_signals": [ "UAV" ], "auto_exclude_reason": null, "screening_status": "pending_human_screening", "screened_by": "auto-v1.0.0" }, { "id": "doi:10.5281/zenodo.18417916", "doi": "10.5281/zenodo.18417916", "title": "A Novel Framework for Optimizing the Routes of Drones During the Last Mile Delivery Process", "year": 2023, "authors": [ "Archit Agarwal", "Ayush Goyal", "Dinesh Kumar Vishwakarma" ], "first_author": "Archit Agarwal", "venue": "Zenodo (CERN European Organization for Nuclear Research)", "volume": null, "pages": null, "type": "article", "language": null, "abstract": "The growing e-commerce industry and demand for fast deliveries have led to the exploration of alternative lastmile delivery methods, including drone delivery systems. Optimising the routes for drone delivery presents a formidable challenge due to the intricate nature of the problem. This research paper introduces a novel solution that combines the Vehicle Routing Problem (VRP) and the Travelling Salesman Problem (TSP) to tackle the last-mile drone delivery issue. A mathematical model and a heuristic algorithm are devised, incorporating clustering of delivery locations, TSP routing for the truck, and VRP routing for the drones. Two approaches are employed to determine the most efficient truck-drone route. The first approach is the flying sidekick Travelling Salesman Problem (FSTSP), which employs a single drone alongside the truck. The second approach is the parallel drone scheduling Travelling Salesman Problem (PDSTSP), which involves two or more drones. Each drone can fly between its designated delivery location and the depot. In both variations, the objective is to deliver packages from a warehouse to a group of customer locations using a truck and a cluster of drones. To enhance the PDSTSP, we propose a modified approach where the truck serves as a dynamic drone depot, releasing drones at each cluster of delivery locations. The proposed solution is evaluated using real-world data, and the results demonstrate a significant optimization in terms of distance travelled and delivery time compared to traditional delivery methods.", "keywords": [ "Drone", "Travelling salesman problem", "Vehicle routing problem", "Cluster analysis", "Routing (electronic design automation)", "Scheduling (production processes)", "Truck", "Heuristic" ], "cited_by_openalex": 0, "cited_by_scopus": 0, "eid": null, "pii": null, "open_access_url": "https://doi.org/10.5281/zenodo.18417916", "sources": [ { "db": "openalex", "stream": "TRUCK", "query_id": "TRUCK-1" }, { "db": "openalex", "stream": "TRUCK", "query_id": "TRUCK-3" }, { "db": "openalex", "stream": "UAV", "query_id": "UAV-1" }, { "db": "openalex", "stream": "UAV", "query_id": "UAV-2" } ], "streams": [ "TRUCK", "UAV" ], "relevance_signals": [ "UAV", "TRUCK" ], "auto_exclude_reason": null, "screening_status": "pending_human_screening", "screened_by": "auto-v1.0.0" }, { "id": "doi:10.5281/zenodo.18417915", "doi": "10.5281/zenodo.18417915", "title": "A Novel Framework for Optimizing the Routes of Drones During the Last Mile Delivery Process", "year": 2023, "authors": [ "Archit Agarwal", "Ayush Goyal", "Dinesh Kumar Vishwakarma" ], "first_author": "Archit Agarwal", "venue": "Zenodo (CERN European Organization for Nuclear Research)", "volume": null, "pages": null, "type": "article", "language": null, "abstract": "The growing e-commerce industry and demand for fast deliveries have led to the exploration of alternative lastmile delivery methods, including drone delivery systems. Optimising the routes for drone delivery presents a formidable challenge due to the intricate nature of the problem. This research paper introduces a novel solution that combines the Vehicle Routing Problem (VRP) and the Travelling Salesman Problem (TSP) to tackle the last-mile drone delivery issue. A mathematical model and a heuristic algorithm are devised, incorporating clustering of delivery locations, TSP routing for the truck, and VRP routing for the drones. Two approaches are employed to determine the most efficient truck-drone route. The first approach is the flying sidekick Travelling Salesman Problem (FSTSP), which employs a single drone alongside the truck. The second approach is the parallel drone scheduling Travelling Salesman Problem (PDSTSP), which involves two or more drones. Each drone can fly between its designated delivery location and the depot. In both variations, the objective is to deliver packages from a warehouse to a group of customer locations using a truck and a cluster of drones. To enhance the PDSTSP, we propose a modified approach where the truck serves as a dynamic drone depot, releasing drones at each cluster of delivery locations. The proposed solution is evaluated using real-world data, and the results demonstrate a significant optimization in terms of distance travelled and delivery time compared to traditional delivery methods.", "keywords": [ "Drone", "Travelling salesman problem", "Vehicle routing problem", "Cluster analysis", "Routing (electronic design automation)", "Scheduling (production processes)", "Truck", "Heuristic" ], "cited_by_openalex": 0, "cited_by_scopus": 0, "eid": null, "pii": null, "open_access_url": "https://doi.org/10.5281/zenodo.18417915", "sources": [ { "db": "openalex", "stream": "TRUCK", "query_id": "TRUCK-1" }, { "db": "openalex", "stream": "TRUCK", "query_id": "TRUCK-3" }, { "db": "openalex", "stream": "UAV", "query_id": "UAV-1" }, { "db": "openalex", "stream": "UAV", "query_id": "UAV-2" } ], "streams": [ "TRUCK", "UAV" ], "relevance_signals": [ "UAV", "TRUCK" ], "auto_exclude_reason": null, "screening_status": "pending_human_screening", "screened_by": "auto-v1.0.0" }, { "id": "doi:10.31660/2782-232x-2023-4-80-89", "doi": "10.31660/2782-232x-2023-4-80-89", "title": "DISTRIBUTION OF WEEKLY WORKING HOURS OF TRUCK DRIVERS IN URBAN LOGISTICS", "year": 2023, "authors": [ "\"", "Аsen Аsenov", "Angel Kanchev\"", "Velizara Pencheva", "Ivan Radoslavov Georgiev" ], "first_author": "\"", "venue": "Architecture Construction Transport", "volume": null, "pages": null, "type": "article", "language": "en", "abstract": "The work deals with the transportation of cargo in small batches in an urban environment. It was found that the weekly workload of truck drivers is not always evenly distributed. This is a prerequisite for dissatisfaction among them, as well as a reason for making mistakes or the occurrence of health problems. A partial integer nonlinear mathematical model is proposed to solve the problem. The solution of the task allows the difference between the driver who has worked the longest and the one who has worked the least to be minimal and the workload of the drivers even.We offer two possible solutions of this task (the example is based on a real situation from practice). In the first case it is the rotation principle, when three interchangeable workers working three days on three different activities. In the second case, seven workers performing six activities in one week, it is precisely determined which worker must perform activities. As a result of the calculations, the option, where the difference between the minimum and maximum time is 1.7 hours for the five working days, because it varies from 33.7 hours to 35.4 hours. In this variant, the rotation principle can also be applied in order for workers to be loaded equally. These options do not exclude the search for other solutions satisfying the problem.", "keywords": [ "Workload", "Truck", "Task (project management)", "Working hours", "Order (exchange)", "Operations research", "Rotation (mathematics)", "Computer science", "Work (physics)", "Distribution (mathematics)", "Operations management", "Working time" ], "cited_by_openalex": 0, "cited_by_scopus": 0, "eid": null, "pii": null, "open_access_url": "http://dx.doi.org/10.31660/2782-232x-2023-4-80-89", "sources": [ { "db": "openalex", "stream": "TRUCK", "query_id": "TRUCK-1" } ], "streams": [ "TRUCK" ], "relevance_signals": [ "TRUCK" ], "auto_exclude_reason": null, "screening_status": "pending_human_screening", "screened_by": "auto-v1.0.0" }, { "id": "doi:10.4324/9781003241478-5", "doi": "10.4324/9781003241478-5", "title": "Road Transport and Urban Logistics", "year": 2023, "authors": [ "Maja Izabela Piecyk", "Julian Allen" ], "first_author": "Maja Izabela Piecyk", "venue": null, "volume": null, "pages": null, "type": "book-chapter", "language": "en", "abstract": "This chapter provides an overview of road freight activities in urban areas. Urban road freight transport is essential to the economic prosperity and liveability of towns and cities. The most common forms of urban road freight transport in terms of the quantity of goods and services provided are conducted by motorised commercial goods vehicles (i.e. rigid and articulated heavy goods vehicles and light goods vehicles). For urban freight operations in which providing a servicing activity is the main purpose, the time spent by the person providing the service at the location at which it is provided is often substantially greater than for delivery/collection work, varying according to the type of service. Forecasts foresee the demand for urban freight transport services growing over the coming years as a result of increasing urbanisation and population growth unless freight initiatives are implemented to counteract this. Data and information have a key role to play in improving the efficiency of urban freight transport operations.", "keywords": [ "Business", "Transport engineering", "City logistics", "Road transport", "Engineering" ], "cited_by_openalex": 0, "cited_by_scopus": 0, "eid": null, "pii": null, "open_access_url": "http://dx.doi.org/10.4324/9781003241478-5", "sources": [ { "db": "openalex", "stream": "TRUCK", "query_id": "TRUCK-1" } ], "streams": [ "TRUCK" ], "relevance_signals": [ "TRUCK" ], "auto_exclude_reason": null, "screening_status": "pending_human_screening", "screened_by": "auto-v1.0.0" }, { "id": "doi:10.1016/b978-0-443-15274-0.50451-0", "doi": "10.1016/b978-0-443-15274-0.50451-0", "title": "Modeling Commercial Fleet Charging and Regulation Strategies via Data-driven Optimization", "year": 2023, "authors": [ "James Owens", "Emre Gençer" ], "first_author": "James Owens", "venue": "Computer-aided chemical engineering/Computer aided chemical engineering", "volume": "52", "pages": "2833-2838", "type": "book-chapter", "language": "en", "abstract": null, "keywords": [ "Electrification", "Truck", "Schedule", "Flexibility (engineering)", "Fleet management", "Revenue", "Operations research", "Computer science", "Transport engineering", "Business", "Engineering", "Economics" ], "cited_by_openalex": 2, "cited_by_scopus": "0", "eid": "2-s2.0-85166936371", "pii": "B9780443152740504510", "open_access_url": "https://doi.org/10.1016/b978-0-443-15274-0.50451-0", "sources": [ { "db": "openalex", "stream": "TRUCK", "query_id": "TRUCK-1" }, { "db": "scopus", "stream": "TRUCK", "query_id": "TRUCK-1" } ], "streams": [ "TRUCK" ], "relevance_signals": [ "TRUCK_NO_CTX" ], "auto_exclude_reason": "EC-4-topic", "screening_status": "auto_excluded", "screened_by": "auto-v1.0.0" }, { "id": "doi:10.1007/978-3-031-43612-3_20", "doi": "10.1007/978-3-031-43612-3_20", "title": "A Variable Neighborhood Search Algorithm for the Truck-Drone Routing Problem", "year": 2023, "authors": [ "Batool Madani", "Malick Ndiaye" ], "first_author": "Batool Madani", "venue": "Lecture notes in computer science", "volume": "14239 LNCS", "pages": "322-334", "type": "conference-paper", "language": "en", "abstract": null, "keywords": [ "Drone", "Truck", "Computer science", "Routing (electronic design automation)", "Vehicle routing problem", "Variable (mathematics)", "Last mile (transportation)", "Operations research", "Computer network", "Mile", "Engineering", "Automotive engineering" ], "cited_by_openalex": 0, "cited_by_scopus": "0", "eid": "2-s2.0-85172350856", "pii": null, "open_access_url": "https://doi.org/10.1007/978-3-031-43612-3_20", "sources": [ { "db": "openalex", "stream": "TRUCK", "query_id": "TRUCK-1" }, { "db": "openalex", "stream": "UAV", "query_id": "UAV-1" }, { "db": "openalex", "stream": "UAV", "query_id": "UAV-2" }, { "db": "scopus", "stream": "TRUCK", "query_id": "TRUCK-1" }, { "db": "scopus", "stream": "UAV", "query_id": "UAV-1" }, { "db": "scopus", "stream": "UAV", "query_id": "UAV-2" } ], "streams": [ "TRUCK", "UAV" ], "relevance_signals": [ "UAV", "TRUCK" ], "auto_exclude_reason": null, "screening_status": "pending_human_screening", "screened_by": "auto-v1.0.0" }, { "id": "doi:10.1007/978-3-031-36121-0_28", "doi": "10.1007/978-3-031-36121-0_28", "title": "Metaheuristic Approach for the Location and Routing Problem with Truck and Drones: A Sustainable Perspective", "year": 2023, "authors": [ "Carlos S. Rodríguez-Salcedo", "María F. Giraldo-Quintero", "Laura S. Ortega-García", "María Alejandra Albarracin-Vanegas", "Carlos Alberto Vega-Mejía", "Elyn Lizeth Solano Charris", "Carlos L. Quintero-Araújo" ], "first_author": "Carlos S. Rodríguez-Salcedo", "venue": "Proceedings of the 11th International Conference on Production Research Americas Icpr Americas 2022", "volume": null, "pages": "230-236", "type": "conference-paper", "language": "en", "abstract": null, "keywords": [ "Metaheuristic", "Drone", "Vehicle routing problem", "Cluster analysis", "Truck", "Computer science", "Routing (electronic design automation)", "Heuristic", "Mathematical optimization", "Last mile (transportation)", "Facility location problem", "Operations research" ], "cited_by_openalex": 0, "cited_by_scopus": "0", "eid": "2-s2.0-85194016975", "pii": null, "open_access_url": "https://doi.org/10.1007/978-3-031-36121-0_28", "sources": [ { "db": "openalex", "stream": "TRUCK", "query_id": "TRUCK-1" }, { "db": "openalex", "stream": "UAV", "query_id": "UAV-1" }, { "db": "openalex", "stream": "UAV", "query_id": "UAV-2" }, { "db": "scopus", "stream": "TRUCK", "query_id": "TRUCK-1" }, { "db": "scopus", "stream": "UAV", "query_id": "UAV-1" }, { "db": "scopus", "stream": "UAV", "query_id": "UAV-2" } ], "streams": [ "TRUCK", "UAV" ], "relevance_signals": [ "UAV", "TRUCK" ], "auto_exclude_reason": null, "screening_status": "pending_human_screening", "screened_by": "auto-v1.0.0" }, { "id": "doi:10.1111/deci.12607", "doi": "10.1111/deci.12607", "title": "Network design with consideration of hours‐of‐service regulation and drop‐and‐swap trailer operations", "year": 2023, "authors": [ "E. Powell Robinson", "Funda Sahin", "Li‐Lian Gao" ], "first_author": "E. Powell Robinson", "venue": "Decision Sciences", "volume": "56", "pages": "7-24", "type": "article", "language": "en", "abstract": "Abstract This research, motivated by collaboration with a leading manufacturer and distributor of building products, introduces two distribution network design models considering federally mandated hours of service restrictions on truck drivers and drop‐and‐swap trailer operations. A key feature of the drop‐and‐swap transport mode is the decoupling of linehaul and last‐mile delivery operations, which enables geographic extension of last‐mile delivery routes while complying with hours of service driver regulations and providing next‐day delivery service. The models simultaneously determine the profit‐maximizing size, number, and location of order fulfillment facilities and satellite drop‐and‐swap terminals, and systemwide transportation flows. A case study of the firm's distribution network reveals that the new location models improve profitability by approximately 5% when compared with traditional network design approaches. An experimental study of five marketing and operational characteristics shows when the models are most advantageously applied. Overall, profit improvements range from 2.32% to 10.97% on a set of 288 test problems. The research provides new insights for integrated facility location and transportation strategic design. The potential application of the models in a variety of e‐commerce scenarios is promising.", "keywords": [ "Profitability index", "Computer science", "Trailer", "Transport engineering", "Swap (finance)", "Network planning and design", "Last mile (transportation)", "Operations research", "Profit (economics)", "Business", "Mile", "Engineering" ], "cited_by_openalex": 1, "cited_by_scopus": "0", "eid": "2-s2.0-85165297248", "pii": null, "open_access_url": "https://doi.org/10.1111/deci.12607", "sources": [ { "db": "openalex", "stream": "TRUCK", "query_id": "TRUCK-1" }, { "db": "scopus", "stream": "TRUCK", "query_id": "TRUCK-1" } ], "streams": [ "TRUCK" ], "relevance_signals": [ "TRUCK" ], "auto_exclude_reason": null, "screening_status": "pending_human_screening", "screened_by": "auto-v1.0.0" }, { "id": "doi:10.1201/9781003415466-12", "doi": "10.1201/9781003415466-12", "title": "Novel scheduling heuristics for a truck-and-drone parcel delivery problem", "year": 2023, "authors": [ "Amrata Gill", "Prem Prakash Vuppuluri" ], "first_author": "Amrata Gill", "venue": "Applied Intelligence in Human Computer Interaction", "volume": null, "pages": "203-220", "type": "book-chapter", "language": "en", "abstract": "The combined use of trucks and drones for efficient package delivery has grown rapidly in recent years and finds applications in domains as varied as electronic commerce, providing timely humanitarian aid in calamity-impacted zones, and remote drug delivery. In such scenarios, a drone is frequently mounted on a delivery truck and used for delivering packages to a subset of the service points, typically those that are difficult to access by road but relatively close enough for the drone to quickly deliver and return to the truck. The drone plays a vital role in reducing delivery time along congested routes, ensuring timely supply of medication in hilly and rural areas and last-mile deliveries of critical resources in remote, poorly connected regions. A planning problem that arises in this context is that of finding a delivery route that minimizes some parameter, such as the total distance traveled by the truck and drone, while ensuring that all the packages are delivered, some by the drone and the others by truck. Several versions of this problem have been modeled as graph problems and extensively studied. This chapter presents a variant of the problem that considers delivery points that tend to form small, geographically close clusters. While a small number of delivery points in each cluster could be served by the truck, the remainder are better served by the drone. Formally, given a source warehouse and a set of destination sites, the objective is to construct a tour that enables the delivery truck to start from and return to the source warehouse, while traversing a subset of the delivery points earmarked for delivery by truck. Delivery points covered by the drone would be covered as and when the truck stops to make a delivery at a destination on its tour. The goal is to minimize the total distance required for the tour. Three constructive TSP heuristics are adapted for the truck-and-drone parcel delivery problem and their performance is studied on several test instances developed specifically for the problem.", "keywords": [ "Heuristics", "Truck", "Drone", "Scheduling (production processes)", "Computer science", "Operations research", "Operations management", "Engineering", "Operating system", "Aerospace engineering", "Biology" ], "cited_by_openalex": 0, "cited_by_scopus": "0", "eid": "2-s2.0-85169407392", "pii": null, "open_access_url": "https://doi.org/10.1201/9781003415466-12", "sources": [ { "db": "openalex", "stream": "TRUCK", "query_id": "TRUCK-1" }, { "db": "openalex", "stream": "UAV", "query_id": "UAV-1" }, { "db": "scopus", "stream": "TRUCK", "query_id": "TRUCK-1" }, { "db": "scopus", "stream": "UAV", "query_id": "UAV-1" } ], "streams": [ "TRUCK", "UAV" ], "relevance_signals": [ "UAV", "TRUCK" ], "auto_exclude_reason": null, "screening_status": "pending_human_screening", "screened_by": "auto-v1.0.0" }, { "id": "doi:10.82366/16", "doi": "10.82366/16", "title": "Routing of Hybrid Truck-Drone Delivery Systems: Mathematical Models and Solution Approaches", "year": 2023, "authors": [ "Batool Madani" ], "first_author": "Batool Madani", "venue": "DSpace at AUS (American University of Sharjah)", "volume": null, "pages": null, "type": "dissertation", "language": "en", "abstract": "With the continuous growth of e-commerce, the responsibility of logistics providers for solving last mile delivery challenges is surging. The last mile delivery is the most polluting, most expensive, and least efficient part of the e-commerce supply chain. Therefore, logistics providers seek new solutions to improve delivery operations continuously. Drone advancements have paved the way for several applications in the field of logistics. However, restrictions such as battery and payload capacity have restricted the effective operational use of drones in many practical applications. To assist toward alleviating these operational limitations, several hybrid delivery models incorporating one or more drones launched from a larger vehicle have emerged. A recent research avenue is to integrate drones with traditional delivery methods such as trucks to form a hybrid truck-drone delivery system. The hybrid truck-drone delivery system (HTDDS) has received significant attention in the literature, due to its new operational challenges and the interdependency between the vehicles and their roles. Most of the literature considers a single customer visit per drone dispatch while launching and collecting the drone from customer nodes visited by the truck. In this research, three HTDDS models with drone multi-visits are introduced where the first model investigates the routing considerations of a truck acting as a moving depot for launching and collecting a drone at non-customer nodes. The second model permits flexibility in the drone’s launching and collecting operations by utilizing customer and non-customer nodes. The final model studies the extended version of the second model by employing several trucks in the delivery system as well as considering time-related constraints. For handling large instances of the proposed models, efficient solution approaches with novel strategies are introduced. In specific, a modified saving algorithm with neighborhood reduction schemes and variable neighborhood search frameworks with different neighborhood selection strategies are developed. In addition, a generalized nomenclature for defining the neighborhood structures is established, which can be applied to a variety of routing problems. Extensive computational analysis is performed to validate and test the performance of the proposed solution methods. Numerical findings indicate that the proposed solution methods outperform the basic approaches.", "keywords": [ "Mathematical model", "Routing (electronic design automation)", "Work (physics)", "Automation" ], "cited_by_openalex": 0, "cited_by_scopus": 0, "eid": null, "pii": null, "open_access_url": "https://doi.org/10.82366/16", "sources": [ { "db": "openalex", "stream": "TRUCK", "query_id": "TRUCK-1" }, { "db": "openalex", "stream": "TRUCK", "query_id": "TRUCK-3" }, { "db": "openalex", "stream": "UAV", "query_id": "UAV-1" }, { "db": "openalex", "stream": "UAV", "query_id": "UAV-2" } ], "streams": [ "TRUCK", "UAV" ], "relevance_signals": [ "UAV", "TRUCK" ], "auto_exclude_reason": null, "screening_status": "pending_human_screening", "screened_by": "auto-v1.0.0" }, { "id": "doi:10.33042/2522-1809-2023-4-178-299-303", "doi": "10.33042/2522-1809-2023-4-178-299-303", "title": "THE ADVANCED METHOD OF SYSTEMATIC BIBLIOMETRIC REVIEW OF THE DIGITALIZATION OF URBAN TRUCK TRANSPORTATION FOR THE SUSTAINABLE DEVELOPMENT OF TRANSPORT", "year": 2023, "authors": [ "Andrii Galkin" ], "first_author": "Andrii Galkin", "venue": "Municipal economy of cities", "volume": null, "pages": null, "type": "article", "language": "en", "abstract": "Digitization of urban freight transport is becoming increasingly important with the development of information technology and the gig economy. This paper conducts a bibliometric analysis to explore research hotspots and future trends in the digital transformation of urban freight transportation. Using Scopus and the Web of Science (WoS) Core Collection as data sources, the analysis highlights the countries with the most published articles and identifies important knowledge bases for digital transformation, such as «digital twin», «physical Internet», «hyperconnected», «logistics», «ALICE» and «Zero Emissions Initiatives». The analysis included examining the number of published articles by year and the distribution of these articles by country. A comparative analysis of keywords used in different studies was also conducted. As a result of the keyword analysis, the main areas of research in the field of digital transformation of urban freight transportation were identified, such as digital double freight transportation, physical Internet, ALICE, Zero-emission and research on the goals of urban logistics. A comparative analysis of the links between the literature showed an increase in the ranking of studies on the impact of digital transformation on freight transport in an urban environment using a connected approach. This approach is relevant in the context of digitalization of urban freight transportation and deserves further scientific attention. In addition, they will provide directions for further research and development of digital solutions in urban logistics systems, which will contribute to increasing the efficiency and sustainability of freight transportation in urban areas. The obtained results of the study can be useful for scientists, industrial partners and government bodies, as they will contribute to the understanding of the current state of digital transformation in urban freight transport. In addition, they will provide directions for further research and development of digital solutions in urban logistics systems, which will contribute to increasing the efficiency and sustainability of freight transportation in urban areas. Keywords: digital twin, hyperconnected logistics, physical internet, ALICE, Zero Emission initiatives.", "keywords": [ "Digitization", "Transport engineering", "Context (archaeology)", "Sustainability", "The Internet", "Truck", "Traffic management", "Digital transformation", "Ranking (information retrieval)", "Business", "Computer science", "Engineering" ], "cited_by_openalex": 0, "cited_by_scopus": 0, "eid": null, "pii": null, "open_access_url": "https://khg.kname.edu.ua/index.php/khg/article/download/6146/6105", "sources": [ { "db": "openalex", "stream": "TRUCK", "query_id": "TRUCK-1" } ], "streams": [ "TRUCK" ], "relevance_signals": [ "TRUCK" ], "auto_exclude_reason": null, "screening_status": "pending_human_screening", "screened_by": "auto-v1.0.0" }, { "id": "doi:10.1109/isas60782.2023.10391678", "doi": "10.1109/isas60782.2023.10391678", "title": "Improving the Route Planning of Battery Electric Freight Vehicles through Speed Optimization", "year": 2023, "authors": [ "Bülent Çatay", "Reza Eshtehadi" ], "first_author": "Bülent Çatay", "venue": "Isas 2023 7th International Symposium on Innovative Approaches in Smart Technologies Proceedings", "volume": null, "pages": null, "type": "conference-paper", "language": "en", "abstract": "The electrification of logistics vehicles has been hindered by range anxiety, even though battery technology has advanced significantly in recent years. This is especially true for battery electric freight vehicles, which may need to recharge at stations en route due to their limited driving range. To address this issue, we revisit the Electric Vehicle Routing Problem with Time Windows (EVRPTW), which aim to optimize route plans and charge schedules of electric vehicles used for last-mile deliveries. We extend this problem to the EVRPTW and Speed Optimization and present its 0-1 mixed-integer linear programming formulation. We then conduct computational tests using an off-the-shelf solver to investigate the impact of speed and cargo load on the route plans. Our findings show that optimizing the speed of the fleet can result in substantial savings.", "keywords": [ "Electrification", "Driving range", "Battery (electricity)", "Range (aeronautics)", "Battery electric vehicle", "Solver", "Automotive engineering", "Computer science", "Integer programming", "Vehicle routing problem", "Routing (electronic design automation)", "Benchmark (surveying)" ], "cited_by_openalex": 0, "cited_by_scopus": "0", "eid": "2-s2.0-85184813067", "pii": null, "open_access_url": "http://dx.doi.org/10.1109/isas60782.2023.10391678", "sources": [ { "db": "openalex", "stream": "TRUCK", "query_id": "TRUCK-1" }, { "db": "scopus", "stream": "TRUCK", "query_id": "TRUCK-1" } ], "streams": [ "TRUCK" ], "relevance_signals": [ "TRUCK" ], "auto_exclude_reason": null, "screening_status": "pending_human_screening", "screened_by": "auto-v1.0.0" }, { "id": "doi:10.48550/arxiv.2304.13987", "doi": "10.48550/arxiv.2304.13987", "title": "Modeling the Complexity of City Logistics Systems for Sustainability", "year": 2023, "authors": [ "Taiwo Olubunmi Adetiloye", "Anjali Awasthi" ], "first_author": "Taiwo Olubunmi Adetiloye", "venue": "RePEc: Research Papers in Economics", "volume": null, "pages": null, "type": "preprint", "language": "en", "abstract": "The logistics of urban areas are becoming more sophisticated due to the fast city population growth. The stakeholders are faced with the challenges of the dynamic complexity of city logistics(CL) systems characterized by the uncertainty effect together with the freight vehicle emissions causing pollution. In this conceptual paper, we present a research methodology for the environmental sustainability of CL systems that can be attained by effective stakeholders' collaboration under non-chaotic situations and the presumption of the human levity tendency. We propose the mathematical axioms of the uncertainty effect while putting forward the notion of condition effectors, and how to assign hypothetical values to them. Finally, we employ a spider network and causal loop diagram to investigate the system's elements and their behavior over time.", "keywords": [ "Presumption", "Sustainability", "Computer science", "Population", "Causal loop diagram", "Conceptual framework", "Business", "Environmental economics", "Risk analysis (engineering)", "System dynamics", "Economics", "Artificial intelligence" ], "cited_by_openalex": 0, "cited_by_scopus": 0, "eid": null, "pii": null, "open_access_url": "https://arxiv.org/pdf/2304.13987", "sources": [ { "db": "openalex", "stream": "TRUCK", "query_id": "TRUCK-1" } ], "streams": [ "TRUCK" ], "relevance_signals": [ "TRUCK" ], "auto_exclude_reason": null, "screening_status": "pending_human_screening", "screened_by": "auto-v1.0.0" }, { "id": "doi:10.1596/1813-9450-10485", "doi": "10.1596/1813-9450-10485", "title": "A Net Cure or Curse?: Tracking the Impact of E-Commerce on Urban Freight Transport Intensity in Bogotá and Buenos Aires", "year": 2023, "authors": [ "Ellin Ivarsson", "Aiga Stokenberga", "Juan Ignacio Fulponi" ], "first_author": "Ellin Ivarsson", "venue": "World Bank, Washington, DC eBooks", "volume": null, "pages": null, "type": "report", "language": "en", "abstract": "The growth of e-commerce has the potential to reduce shopping-related travel but brings with it additional freight vehicle trips for the delivery of online orders to consumers. Understanding the overall net effect of e-commerce on urban trip intensity is essential for planning transport infrastructure and services. The paper analyzes how the growth of e-commerce is impacting mobility in Bogotá and Buenos Aires. The demand for e-commerce grew in both cities during the COVID-19 pandemic (2019–21), mostly among higher income groups. Despite the significant potential for replacing private vehicle trips, the analysis finds little evidence that the growth of e-commerce is having a significant substitution effect on shopping trips. Overall, e-commerce currently generates more traffic than it avoids in both Bogotá and Buenos Aires, and, thus, is very likely to continue to add to the road traffic in the two metropolitan areas in the near future.", "keywords": [ "TRIPS architecture", "Metropolitan area", "Business", "E-commerce", "City logistics", "Transport engineering", "Geography", "Engineering", "Political science" ], "cited_by_openalex": 0, "cited_by_scopus": 0, "eid": null, "pii": null, "open_access_url": "https://doi.org/10.1596/1813-9450-10485", "sources": [ { "db": "openalex", "stream": "TRUCK", "query_id": "TRUCK-1" } ], "streams": [ "TRUCK" ], "relevance_signals": [ "TRUCK" ], "auto_exclude_reason": null, "screening_status": "pending_human_screening", "screened_by": "auto-v1.0.0" }, { "id": "doi:10.46254/na07.20220329", "doi": "10.46254/na07.20220329", "title": "Learning Models for Delivery Location Clustering and Drone-Based Routing Decisions in Last-Mile Distribution", "year": 2023, "authors": [ "Ali Arishi", "Krishna Krishnan" ], "first_author": "Ali Arishi", "venue": null, "volume": null, "pages": null, "type": "conference-abstract", "language": "en", "abstract": "With the rise in e-commerce and growing consumer demand, supply chains are striving to achieve cost-efficient delivery operations. One of the most challenging distribution problems is the last-mile delivery which generally refers to the very last leg of the delivery operation when a parcel is moved from a depot to the end customer. Despite the significant increase in the number of products ordered online and delivered directly to customers, the reliance on truckbased delivery has remained unchanged for decades. The integration of drones in the last-mile delivery can overcome many operational challenges and provide competitive advantages. Traditional optimization algorithms for truck-drone suffer from high computational time and can solve only small-sized problems. This study focuses on finding an effective approach for solving the last-mile delivery problem. We propose a hybrid machine learning model to tackle the problem of delivering products to a set of delivery locations using a modern truck equipped with multiple drones. A constrained clustering algorithm is proposed to cluster delivery locations based on user-specified constraints in the first stage. The center of each constrained cluster serves as a launching site where the truck can park, and drones can be dispatched to make all final deliveries. A deep reinforcement learning model is proposed in the second stage to find an optimal route among all clusters. Extensive experiments are conducted to evaluate the proposed approach. Solutions obtained are compared with other traditional algorithms. Results show that our approach can produce quality solutions in real-time.", "keywords": [ "Drone", "Last mile (transportation)", "Cluster analysis", "Mile", "Computer science", "Routing (electronic design automation)", "Distribution (mathematics)", "Computer network", "Artificial intelligence", "Geography", "Mathematics" ], "cited_by_openalex": 0, "cited_by_scopus": 0, "eid": null, "pii": null, "open_access_url": "https://ieomsociety.org/proceedings/2022orlando/329.pdf", "sources": [ { "db": "openalex", "stream": "TRUCK", "query_id": "TRUCK-1" }, { "db": "openalex", "stream": "TRUCK", "query_id": "TRUCK-3" }, { "db": "openalex", "stream": "UAV", "query_id": "UAV-1" } ], "streams": [ "TRUCK", "UAV" ], "relevance_signals": [ "UAV", "TRUCK" ], "auto_exclude_reason": null, "screening_status": "pending_human_screening", "screened_by": "auto-v1.0.0" }, { "id": "doi:10.4337/9781800889866.00047", "doi": "10.4337/9781800889866.00047", "title": "Combined carriage", "year": 2023, "authors": [ "Julia Hörnig" ], "first_author": "Julia Hörnig", "venue": "Edward Elgar Publishing eBooks", "volume": null, "pages": null, "type": "book-chapter", "language": "en", "abstract": "According to Article 38, the Montreal Convention 1999 is only applicable to the aerial segment as per Article 1. Article 38 also clarifies the scope of application of the Convention in a multimodal transport context. Given the complex operations of airports, ‘last mile’ delivery services are often performed by lorries and they are not covered by the Convention as ‘last mile’ services often go beyond the scenario envisaged in Article 18 (4) of the Montreal Convention 1999. Article 38 is a unique provision in the context of unimodal transport Conventions. Other unimodal Conventions only provide rules for the so-called ‘unimodal-plus’ regime, i.e., where the transport means in question is combined with another means of transport under prescribed situations, such as roll-on/roll-off carriage, which takes place where the lorry containing the cargo is carried over part of the journey by an aircraft or a vessel.", "keywords": [ "Convention", "Multimodal transport", "Context (archaeology)", "Carriage", "Scope (computer science)", "Truck", "Transport engineering", "Last mile (transportation)", "Mile", "Engineering", "Operations research", "Business" ], "cited_by_openalex": 0, "cited_by_scopus": 0, "eid": null, "pii": null, "open_access_url": "https://doi.org/10.4337/9781800889866.00047", "sources": [ { "db": "openalex", "stream": "TRUCK", "query_id": "TRUCK-1" } ], "streams": [ "TRUCK" ], "relevance_signals": [ "TRUCK" ], "auto_exclude_reason": null, "screening_status": "pending_human_screening", "screened_by": "auto-v1.0.0" }, { "id": "doi:10.1201/9781003261513-11", "doi": "10.1201/9781003261513-11", "title": "Access management and pricing", "year": 2023, "authors": [ "Eiichi Taniguchi", "Russell George Thompson", "Ali Gul Qureshi" ], "first_author": "Eiichi Taniguchi", "venue": null, "volume": null, "pages": null, "type": "book-chapter", "language": "en", "abstract": "Chapter 9 describes how big data, analysis tools and models can improve pricing and access management schemes for freight vehicles in urban areas. Descriptive analytics procedures presented include monitoring the usage of loading bays and loading docks. Prescriptive analytics methods including models developed for optimising the number of bays in loading docks and on-street as well as toll levels for trucks are described. This chapter highlights how analytical procedures can determine the best toll levels for urban freight vehicles as well as identify optimal road pricing schemes.", "keywords": [ "Business" ], "cited_by_openalex": 0, "cited_by_scopus": 0, "eid": null, "pii": null, "open_access_url": "http://dx.doi.org/10.1201/9781003261513-11", "sources": [ { "db": "openalex", "stream": "TRUCK", "query_id": "TRUCK-1" } ], "streams": [ "TRUCK" ], "relevance_signals": [ "TRUCK" ], "auto_exclude_reason": null, "screening_status": "pending_human_screening", "screened_by": "auto-v1.0.0" }, { "id": "doi:10.1201/9781003261513-8", "doi": "10.1201/9781003261513-8", "title": "Evaluation", "year": 2023, "authors": [ "Eiichi Taniguchi", "Russell George Thompson", "Ali Gul Qureshi" ], "first_author": "Eiichi Taniguchi", "venue": null, "volume": null, "pages": null, "type": "book-chapter", "language": "en", "abstract": "Chapter 7 presents a range of analytics methods that can be used for evaluating options to improve the sustainability of urban freight systems. Financial analysis, multi-criteria assessment, and multi-objective optimisation problems are covered. Applications are described for a range of City Logistics initiatives, including collaborative freight networks, electric freight vehicles, urban consolidation centres, and road tolls. This chapter describes techniques that can be used to highlight the trade-offs in the predicted performance of urban freight options and illustrate how sensitive these are to key assumptions within models. Procedures for illustrating the effects of options for multiple stakeholders with different objectives are presented.", "keywords": [ "Computer science" ], "cited_by_openalex": 0, "cited_by_scopus": 0, "eid": null, "pii": null, "open_access_url": "http://dx.doi.org/10.1201/9781003261513-8", "sources": [ { "db": "openalex", "stream": "TRUCK", "query_id": "TRUCK-1" } ], "streams": [ "TRUCK" ], "relevance_signals": [ "TRUCK" ], "auto_exclude_reason": null, "screening_status": "pending_human_screening", "screened_by": "auto-v1.0.0" }, { "id": "doi:10.37904/clc.2023.4849", "doi": "10.37904/clc.2023.4849", "title": "THE IMPORTANCE OF ELECTROMOBILITY IN THE LOGISTICS INDUSTRY", "year": 2023, "authors": [ "Gabriel Koman", "Silvia Krúpová" ], "first_author": "Gabriel Koman", "venue": "CLC ...", "volume": null, "pages": null, "type": "conference-paper", "language": "en", "abstract": "The logistics industry is experiencing digitalization and faces growing customer demands, fierce competition, and internationally connected markets.At the same time, the logistics industry is under pressure through political environmental decisions.It is estimated that there are 278 million commercial vehicles in the world, most of which are trucks used to transport goods.In addition, there are millions of privately owned trucks that contribute to even more trucks in the world.The logistics and transport sector contributes a third of global CO2 emissions, making it the most emitting sector in many countries.This proportion is still growing.Therefore, emphasis must be placed on the use of green fuels in the logistics industry.Electric trucks are an innovative technology that could increase the efficiency of freight transport and contribute to a more sustainable logistics future.Electric trucks are one of the most important advances in urban logistics in parallel with the Smart City concepts.Electric trucks are equipped with one or more electric motors to drive.This system reduces the CO2 footprint because no greenhouse gases are emitted.In 2023, many companies are looking to reduce the environmental impact of their operations, and electric trucks could contribute to a more sustainable supply chain.This article discusses the importance of electromobility in logistics and the importance of including electric trucks in the logistics industry's fleets.The methodological part of the article consists of an analysis of secondary sources from which the connections between logistics and e-mobility were derived.In the discussion and conclusion of the article, possible recommendations are presented through which it is possible to understand the importance of implementing electric trucks in the fleet of the logistics industry.", "keywords": [ "Business", "Industrial organization", "Computer science" ], "cited_by_openalex": 0, "cited_by_scopus": 0, "eid": null, "pii": null, "open_access_url": "https://www.confer.cz/clc/2023/download/4849-the-importance-of-electromobility-in-the-logistics-industry.pdf", "sources": [ { "db": "openalex", "stream": "TRUCK", "query_id": "TRUCK-1" } ], "streams": [ "TRUCK" ], "relevance_signals": [ "TRUCK" ], "auto_exclude_reason": null, "screening_status": "pending_human_screening", "screened_by": "auto-v1.0.0" }, { "id": "doi:10.1201/9781003261513-12", "doi": "10.1201/9781003261513-12", "title": "Environmental sustainability", "year": 2023, "authors": [ "Eiichi Taniguchi", "Russell George Thompson", "Ali Gul Qureshi" ], "first_author": "Eiichi Taniguchi", "venue": null, "volume": null, "pages": null, "type": "book-chapter", "language": "en", "abstract": "Chapter 10 presents environmental sustainability in city logistics. It describes case studies on the joint delivery systems using urban consolidation centres (UCC) in Tokyo, Japan. It focuses on the effectiveness of the pooling of goods and the integration of UCC in the joint delivery systems to reduce the distance travelled by trucks as well as the environmental impacts. It addresses cargo bikes or electric assisted cargo bikes, which can reduce GHG (Green House Gas) and local emissions, but they need micro depots or satellite facilities to transship goods from delivery trucks or vans to cargo bikes.", "keywords": [ "Sustainability", "Environmental science", "Ecology", "Biology" ], "cited_by_openalex": 0, "cited_by_scopus": 0, "eid": null, "pii": null, "open_access_url": "http://dx.doi.org/10.1201/9781003261513-12", "sources": [ { "db": "openalex", "stream": "TRUCK", "query_id": "TRUCK-1" }, { "db": "openalex", "stream": "TRUCK", "query_id": "TRUCK-3" } ], "streams": [ "TRUCK" ], "relevance_signals": [ "TRUCK" ], "auto_exclude_reason": null, "screening_status": "pending_human_screening", "screened_by": "auto-v1.0.0" }, { "id": "doi:10.14711/thesis-991013222953403412", "doi": "10.14711/thesis-991013222953403412", "title": "On-Time Delivery by Drone Resupply", "year": 2023, "authors": [ "Wenqian Liu" ], "first_author": "Wenqian Liu", "venue": null, "volume": null, "pages": null, "type": "dissertation", "language": "en", "abstract": "Along with the maturity of technologies, such as the Internet of Things and artificial intelligence, the rapid development of online e-commerce has raised the need for what is known as “smart logistics”. With fewer geographical restrictions, higher delivery efficiency, and greater delivery flexibility, drones are a promising option for achieving fast delivery in last-mile urban logistics. Many leading logistics companies, such as Amazon and FedEx, have carried out experimental projects on drone delivery systems. In academia, various operational models for using drones for delivery have been proposed, including drone-only, truck and drone coordinated systems, and drone resupply. The novelty of drone resupply is that drones transport packages from a depot to trucks en route, and then trucks hand over these packages to customers face by face. Despite its potential benefits, existing studies have been focused on designing solution approaches for the drone resupply problem with a single truck and a single drone. As such, there is a need for further research to explore the potential of drone resupply in real-world applications. In this thesis, we investigate more general drone resupply models for on-time delivery, where a fleet of drones is employed to assist a group of trucks in fulfilling delivery requests within specific delivery deadlines. Considering several practical restrictions in urban areas, we first focus on a situation where each delivery truck follows a predetermined route to deliver packages. To ensure the on-time delivery of packages, trucks are dispatched from the depot at certain cutoff times, even if some packages are not yet available for delivery. Drones are then used to resupply these late available packages to specific trucks en route so as to assure on-time delivery. This raises the problem of drone resupply scheduling, which aims to maximize the total value of the late available packages that can be delivered on time. We formally define the problem and analyze its optimality properties. We develop an exact solution approach based on the time-expanded network flow model and design a greedy heuristic algorithm to solve this problem. A series of computational studies are conducted to validate the efficiency and effectiveness of the proposed solutions. Managerial insights and guidance derived from these studies can help logistics companies to make informed decisions both at strategic and operational levels. The drone resupply model can also be applied to on-time meal delivery. To cope with the delayed deliveries of online meals, we can dispatch drones from restaurants to transport meals to riders en route, and then the riders hand over these meals to customers. Such a problem leads to a drone resupply model with multiple trucks, multiple drones, and multiple depots, with rider routing and drone scheduling optimized jointly. We design a two-phase algorithm to solve the problem efficiently. In the first phase, we identify all possible rider routes, along with the corresponding drone scheduling, for serving order bundles. In the second phase, we use a set covering model to select the best rider routes so that all meals are fulfilled with a minimal delay cost. For the problem with a relatively long service period, we propose a rolling horizon strategy to solve it in a dynamic environment. We conduct computational studies to evaluate the efficiency of the solution method and the effectiveness of the proposed drone-assisted delivery model. The computational results demonstrate that adopting drone resupply in on-time meal delivery could lead to a win-win-win situation, where the delay cost and the traveling distance of riders can be reduced significantly, by as much as 54% and 10%, respectively.", "keywords": [ "Drone", "Aeronautics", "Engineering", "Biology" ], "cited_by_openalex": 0, "cited_by_scopus": 0, "eid": null, "pii": null, "open_access_url": "https://doi.org/10.14711/thesis-991013222953403412", "sources": [ { "db": "openalex", "stream": "TRUCK", "query_id": "TRUCK-1" }, { "db": "openalex", "stream": "TRUCK", "query_id": "TRUCK-3" }, { "db": "openalex", "stream": "UAV", "query_id": "UAV-1" } ], "streams": [ "TRUCK", "UAV" ], "relevance_signals": [ "UAV", "TRUCK" ], "auto_exclude_reason": null, "screening_status": "pending_human_screening", "screened_by": "auto-v1.0.0" }, { "id": "doi:10.1007/978-3-031-24907-5_54", "doi": "10.1007/978-3-031-24907-5_54", "title": "The Grey Zone Two-Echelon Vehicle Routing Problem with Customer-to-Parcel Locations and Low-Pollution Vehicles for Inner-City Logistics", "year": 2023, "authors": [ "Edgar Ricardo Silva Russi", "Nacima Labadie", "Caroline Prodhon" ], "first_author": "Edgar Ricardo Silva Russi", "venue": "Lecture notes in operations research", "volume": "Part F3789", "pages": "451-459", "type": "conference-paper", "language": "en", "abstract": null, "keywords": [ "Vehicle routing problem", "Integer programming", "City logistics", "Routing (electronic design automation)", "Last mile (transportation)", "Operations research", "Linear programming", "Computer science", "Transport engineering", "Business", "Mathematical optimization", "Engineering" ], "cited_by_openalex": 0, "cited_by_scopus": "0", "eid": "2-s2.0-85212467764", "pii": null, "open_access_url": "https://doi.org/10.1007/978-3-031-24907-5_54", "sources": [ { "db": "openalex", "stream": "TRUCK", "query_id": "TRUCK-2" }, { "db": "scopus", "stream": "TRUCK", "query_id": "TRUCK-2" } ], "streams": [ "TRUCK" ], "relevance_signals": [ "NO_TECHNOLOGY_MATCH" ], "auto_exclude_reason": "EC-4-topic", "screening_status": "auto_excluded", "screened_by": "auto-v1.0.0" }, { "id": "doi:10.1007/978-3-031-20102-8_28", "doi": "10.1007/978-3-031-20102-8_28", "title": "Brainstorming-Based Large Scale Neighborhood Search for Vehicle Routing with Real Travel Time", "year": 2023, "authors": [ "Jia Liu", "Nanqing Guo", "Bowen Xue" ], "first_author": "Jia Liu", "venue": "Lecture notes in computer science", "volume": "13657 LNCS", "pages": "358-370", "type": "conference-paper", "language": "en", "abstract": null, "keywords": [ "Computer science", "Brainstorming", "Vehicle routing problem", "Traffic congestion", "Competitor analysis", "Routing (electronic design automation)", "Scale (ratio)", "Mathematical optimization", "Distribution (mathematics)", "Simulation", "Transport engineering", "Artificial intelligence" ], "cited_by_openalex": 0, "cited_by_scopus": "0", "eid": "2-s2.0-85148690522", "pii": null, "open_access_url": "https://doi.org/10.1007/978-3-031-20102-8_28", "sources": [ { "db": "openalex", "stream": "TRUCK", "query_id": "TRUCK-2" }, { "db": "scopus", "stream": "TRUCK", "query_id": "TRUCK-2" } ], "streams": [ "TRUCK" ], "relevance_signals": [ "NO_TECHNOLOGY_MATCH" ], "auto_exclude_reason": "EC-4-topic", "screening_status": "auto_excluded", "screened_by": "auto-v1.0.0" }, { "id": "doi:10.4337/9781800370258.00030", "doi": "10.4337/9781800370258.00030", "title": "New urban freight developments and land use", "year": 2023, "authors": [ "André Romano Alho", "Takanori Sakai", "Giacomo Dalla Chiara" ], "first_author": "André Romano Alho", "venue": "Edward Elgar Publishing eBooks", "volume": null, "pages": null, "type": "book-chapter", "language": "en", "abstract": "Urban freight denotes vehicle and commodity flows in an urban environment. These flows depend on a complex set of relationships among various stakeholders. In the last decades, urban freight has experienced an incredible pace of evolution, which has occurred due to various technological factors. One example is the ubiquity of internet access and the advance in information technology, leading to e-commerce adoption. Another is the development of algorithms to forecast demand, design and maintain supply chains and plan vehicle routes. In this chapter, we summarize critical changes in urban freight developments and land use. We highlight the interactions between passenger and freight travel, the recent shifts in freight flows and associated planning needs.", "keywords": [ "Pace", "Commodity", "Plan (archaeology)", "Traffic management", "Transport engineering", "The Internet", "Business", "Supply chain", "Land use", "Urban planning", "Environmental planning", "Geography" ], "cited_by_openalex": 0, "cited_by_scopus": 0, "eid": null, "pii": null, "open_access_url": "https://doi.org/10.4337/9781800370258.00030", "sources": [ { "db": "openalex", "stream": "TRUCK", "query_id": "TRUCK-2" } ], "streams": [ "TRUCK" ], "relevance_signals": [ "NO_TECHNOLOGY_MATCH" ], "auto_exclude_reason": "EC-4-topic", "screening_status": "auto_excluded", "screened_by": "auto-v1.0.0" }, { "id": "doi:10.1109/mt-its56129.2023.10241531", "doi": "10.1109/mt-its56129.2023.10241531", "title": "Investigation of Accessibility Formulations for Urban Freight Distribution using E-VRP", "year": 2023, "authors": [ "Filippo Carrese", "Chiara Colombaroni", "Gaetano Fusco" ], "first_author": "Filippo Carrese", "venue": "2023 8th International Conference on Models and Technologies for Intelligent Transportation Systems Mt ITS 2023", "volume": null, "pages": null, "type": "conference-paper", "language": "en", "abstract": "The objective of the paper is to gain insight onto which territorial characteristics of an urban area contribute in the determination of accessibility for freight distribution. This issue becomes relevant today because of the increasing use of electric vehicles with a limited driving range, the wide diffusion of realtime freight distribution in urban areas, which requires ITS applications to city logistics. Specifically, an Electric Vehicle Routing Problem (E-VRP) solving procedure is used to extend the traditional accessibility modelling to include the trip-chaining effects of distribution tours in the accessibility formulation. This work generalizes the impedance function based on direct trips, as it is typical in passenger mobility or long-haul freight distribution, to derive an impedance function that considers the complexity of the interactions between the transportation network and the activity system. To this goal, this paper introduces a new formulation of the incremental cost for legs of distribution tours, that better defines the impedance or cost of travel. A case study is presented and different formulations are proposed and applied, while the costs computed with the E-VRP algorithm are used to validate accessibility results.", "keywords": [ "Vehicle routing problem", "Chaining", "Range (aeronautics)", "Computer science", "Transport engineering", "TRIPS architecture", "City logistics", "Function (biology)", "Distribution (mathematics)", "Routing (electronic design automation)", "Operations research", "Engineering" ], "cited_by_openalex": 0, "cited_by_scopus": "0", "eid": "2-s2.0-85175403320", "pii": null, "open_access_url": "http://dx.doi.org/10.1109/mt-its56129.2023.10241531", "sources": [ { "db": "openalex", "stream": "TRUCK", "query_id": "TRUCK-2" }, { "db": "scopus", "stream": "TRUCK", "query_id": "TRUCK-2" } ], "streams": [ "TRUCK" ], "relevance_signals": [ "NO_TECHNOLOGY_MATCH" ], "auto_exclude_reason": "EC-4-topic", "screening_status": "auto_excluded", "screened_by": "auto-v1.0.0" }, { "id": "doi:10.61978/novatio.v1i1.840", "doi": "10.61978/novatio.v1i1.840", "title": "Parity Frontiers in Urban Delivery: A Route Level Cost to Serve Framework with Evidence from Europe and Southeast Asia", "year": 2023, "authors": [ "Purwo Agus Sucipto" ], "first_author": "Purwo Agus Sucipto", "venue": "Novatio Journal of Management Technology and Innovation", "volume": null, "pages": null, "type": "article", "language": "en", "abstract": "Last mile delivery represents a significant share of logistics spending, yet investment decisions often rely on fleet-average costs. This study examines the conditions under which battery electric light commercial vans (BEVs) achieve lower cost-to-serve (CTS) per stop than internal combustion engine (ICE) vans, focusing on the role of charging strategies and urban operating environments. An activity-based framework is applied to decompose CTS into energy, maintenance, and labor, calibrated using urban, mixed, and suburban route archetypes under 2023 price conditions. Three charging strategies overnight depot alternating current, mixed alternating and direct current fast charging, and full reliance on public fast charging are evaluated through sensitivity analysis and Monte Carlo simulations, with external validation in Indonesia and Southeast Asia. Findings show that BEVs consistently deliver lower CTS than ICE vans across scenarios. Savings are modest in dense cores dependent on public fast charging but substantial on suburban routes with reliable overnight depot charging. While labor dominates total CTS, energy and maintenance determine the direction of parity, and off-peak tariffs significantly expand BEV advantages. In Southeast Asia, BEVs remain favorable when operators access predictable off-peak supply and manage curb access, though diesel subsidies and grid constraints influence margins. The study concludes that electrification yields the greatest benefits when route design and charging strategies are aligned, and recommends integrating per-stop analysis with total cost of ownership to guide fleet investment and infrastructure planning.", "keywords": [ "Electrification", "Subsidy", "Tariff", "Public transport", "Investment (military)", "Southeast asia", "Total cost of ownership", "Grid" ], "cited_by_openalex": 0, "cited_by_scopus": 0, "eid": null, "pii": null, "open_access_url": "https://journal.idscipub.com/novatio/article/download/840/711", "sources": [ { "db": "openalex", "stream": "TRUCK", "query_id": "TRUCK-2" } ], "streams": [ "TRUCK" ], "relevance_signals": [ "NO_TECHNOLOGY_MATCH" ], "auto_exclude_reason": "EC-4-topic", "screening_status": "auto_excluded", "screened_by": "auto-v1.0.0" }, { "id": "doi:10.5281/zenodo.8383273", "doi": "10.5281/zenodo.8383273", "title": "Optimizing Multi Modal Transportation Networks for Sustainable Urban Freight Delivery, Case Study Southwest Nigeria", "year": 2023, "authors": [ "Oduyemi Fiyinfoluwa" ], "first_author": "Oduyemi Fiyinfoluwa", "venue": "Zenodo (CERN European Organization for Nuclear Research)", "volume": null, "pages": null, "type": "article", "language": "en", "abstract": "Urban freight transportation enables economic productivity but contributes to congestion, emissions, and safety issues degrading livability. This paper investigates optimizing urban freight in Lagos, Nigeria using a multivariate regression model analyzing survey data on delivery costs across varying vehicles, routes, distances and frequencies. The model had low explanatory power, indicating complex contextual interactions impact costs. Spatial network analysis and logistics simulation are proposed to further evaluate infrastructure, vehicle technology, routing, coordination and policies holistically. Transitioning to electric vehicles, leveraging real-time traffic data, freight consolidation and policy incentives can balance efficiency, sustainability and equity in urban freight systems.", "keywords": [ "Modal", "Transport engineering", "Modal shift", "City logistics", "Sustainable transport", "Business", "Environmental planning", "Civil engineering", "Geography", "Engineering", "Sustainability", "Public transport" ], "cited_by_openalex": 0, "cited_by_scopus": 0, "eid": null, "pii": null, "open_access_url": "https://zenodo.org/record/8383273", "sources": [ { "db": "openalex", "stream": "TRUCK", "query_id": "TRUCK-2" } ], "streams": [ "TRUCK" ], "relevance_signals": [ "NO_TECHNOLOGY_MATCH" ], "auto_exclude_reason": "EC-4-topic", "screening_status": "auto_excluded", "screened_by": "auto-v1.0.0" }, { "id": "doi:10.70675/90254c62zc6fcz4125z95eez42b17c63b45f", "doi": "10.70675/90254c62zc6fcz4125z95eez42b17c63b45f", "title": "Assessing the potential of the physical Internet for city logistics activities in developing countries", "year": 2023, "authors": [ "Sam Ban" ], "first_author": "Sam Ban", "venue": null, "volume": null, "pages": null, "type": "dissertation", "language": null, "abstract": "Evaluation du potentiel de l'Internet physique pour les activités de logistique urbaine dans les pays en développement Le travail de recherche vise à relever les défis de la logistique urbaine auxquels sont confrontés les pays en développement, notamment en Asie du Sud-Est. Le chapitre 1 propose une étude des caractéristiques essentielles de ces pays, telles que les défis en matière de revenus, de société et de développement du territoire, et de la manière dont ces défis conduisent aux problèmes de logistique urbaine, notamment via les embouteillages, les routes non sécurisées, les infrastructures de mauvaise qualité, les véhicules chers et peu fiables, le taux de croissance démographique élevé et l'urbanisation. Les difficultés à gérer durablement leurs activités de logistique urbaine et à soutenir leur économie sont ainsi soulignées. Le chapitre 2 donne un aperçu des travaux de recherche sur l'Internet physique (IP) et de la manière dont ils peuvent être envisagés dans le contexte des pays en développement. Les questions de recherche sont formulées sur la base de cette connaissance, à savoir comment les principes de l'IP peuvent être mis en œuvre dans le contexte de la logistique urbaine dans les pays en développement, comment l'application des concepts de l'IP peut être évaluée en termes d'impact sur les performances, et quels sont les avantages que l'on peut attendre de la mise en œuvre de l'IP dans le cas de la logistique urbaine dans les pays en développement. Pour résoudre ces questions, la thèse propose une méthodologie de recherche comprenant quatre phases principales et neuf étapes. Le chapitre 3 élabore une contribution conceptuelle en évaluant l'accessibilité et les niveaux d'intérêt de chaque concept d'IP et conclut que les concepts prioritaires pour résoudre l'énoncé du problème devraient être le partage d'informations et les systèmes normalisés, les activités collaboratives et les interconnexions entre les parties prenantes. Sur cette base, un ensemble de scénarios a été conçu pour mettre en pratique l'IP afin de mieux livrer les marchandises dans le contexte de la logistique urbaine des pays en développement. Ces scénarios ont été organisés notamment à travers la mise en œuvre de PI-hubs, de systèmes de transport à la demande, et du partage des actifs. Le chapitre 4 développe les contributions techniques et expérimentales du travail de recherche en établissant un modèle de simulation hybride dédié basé sur la modélisation à base d'agents et la simulation à événements discrets. Il comprend la définition d'indicateurs de performance spécifiques capables de mesurer les impacts potentiels des scénarios conçus au chapitre 3 par rapport au scénario de base. La contribution expérimentale est développée sur la base d'un cas industriel réel lié aux activités logistiques du commerce électronique dans la ville de Phnom Penh (Cambodge). Les résultats numériques montrent les avantages évidents de l'utilisation des PI-hubs et des systèmes de transport à la demande, qui permettent des économies très substantielles allant jusqu'à 55% pour la qualité de service, 61% pour les empreintes carbone et 75% pour les coûts logistiques. Cependant, l'étude présente certaines limites, qui sont également discutées. Globalement, le travail de recherche conclut que l'utilisation de certains concepts d'IP pourrait améliorer considérablement les performances des activités de logistique urbaine dans les pays en développement, sans investissement particulièrement important. L'étude propose plusieurs perspectives de recherche futures, notamment l'utilisation de l'IP dans différents contextes et le développement d'outils d'aide à la décision opérationnels pour la mise en œuvre de l'IP dans la logistique urbaine de ces pays.", "keywords": [ "Context (archaeology)", "Economic shortage", "Public policy" ], "cited_by_openalex": 0, "cited_by_scopus": 0, "eid": null, "pii": null, "open_access_url": "https://doi.org/10.70675/90254c62zc6fcz4125z95eez42b17c63b45f", "sources": [ { "db": "openalex", "stream": "TRUCK", "query_id": "TRUCK-2" } ], "streams": [ "TRUCK" ], "relevance_signals": [ "NO_TECHNOLOGY_MATCH" ], "auto_exclude_reason": "EC-4-topic", "screening_status": "auto_excluded", "screened_by": "auto-v1.0.0" }, { "id": "doi:10.2139/ssrn.4569874", "doi": "10.2139/ssrn.4569874", "title": "Electric Vehicles in Urban Delivery Fleets: How Far Can They Go?", "year": 2023, "authors": [ "Dingtong Yang", "Michael F. Hyland" ], "first_author": "Dingtong Yang", "venue": "SSRN Electronic Journal", "volume": null, "pages": null, "type": "preprint", "language": "en", "abstract": null, "keywords": [ "Business" ], "cited_by_openalex": 0, "cited_by_scopus": 0, "eid": null, "pii": null, "open_access_url": "https://doi.org/10.2139/ssrn.4569874", "sources": [ { "db": "openalex", "stream": "TRUCK", "query_id": "TRUCK-2" } ], "streams": [ "TRUCK" ], "relevance_signals": [ "NO_TECHNOLOGY_MATCH" ], "auto_exclude_reason": "EC-4-topic", "screening_status": "auto_excluded", "screened_by": "auto-v1.0.0" }, { "id": "doi:10.7287/peerj-cs.1347v0.2/reviews/2", "doi": "10.7287/peerj-cs.1347v0.2/reviews/2", "title": "Peer Review #2 of \"Green city logistics path planning and design based on genetic algorithm (v0.2)\"", "year": 2023, "authors": [], "first_author": null, "venue": null, "volume": null, "pages": null, "type": "peer-review", "language": "en", "abstract": "Effective logistics distribution paths are crucial in enhancing the fundamental competitiveness of an enterprise.Addressing the pertinent research issues such as suboptimal scheduling of time-sensitive orders and reverse distribution of returned goods, this research introduces the genetic algorithm for logistics routing and proposes an enhanced scheme integrating the Metropolis criterion.To address the limited local search ability of the genetic algorithm, this study combines the simulated annealing algorithm's potent local optimization capability with the genetic algorithm, thereby developing a genetic algorithm with Metropolis criterion.The proposed method preserves the optimal chromosome in each generation population and accepts inferior chromosomes with a certain probability, thereby enhancing the likelihood of finding a local optimal solution and achieving global optimization.Empirical findings demonstrate that the proposed genetic algorithm is effective in achieving excellent results for different customer sizes.", "keywords": [ "Genetic algorithm", "Path (computing)", "Computer science", "Operations research", "Algorithm", "Industrial engineering", "Mathematical optimization", "Engineering", "Mathematics", "Machine learning", "Computer network" ], "cited_by_openalex": 0, "cited_by_scopus": 0, "eid": null, "pii": null, "open_access_url": "https://peerj.com/articles/cs-1347v0.4/submission", "sources": [ { "db": "openalex", "stream": "TRUCK", "query_id": "TRUCK-2" } ], "streams": [ "TRUCK" ], "relevance_signals": [ "NO_TECHNOLOGY_MATCH" ], "auto_exclude_reason": "EC-4-topic", "screening_status": "auto_excluded", "screened_by": "auto-v1.0.0" }, { "id": "doi:10.7287/peerj-cs.1347v0.1/reviews/3", "doi": "10.7287/peerj-cs.1347v0.1/reviews/3", "title": "Peer Review #3 of \"Green city logistics path planning and design based on genetic algorithm (v0.1)\"", "year": 2023, "authors": [], "first_author": null, "venue": null, "volume": null, "pages": null, "type": "peer-review", "language": "en", "abstract": "Effective logistics distribution paths are crucial in enhancing the fundamental competitiveness of an enterprise.This research introduces the genetic algorithm for logistics routing to address pertinent research issues, such as suboptimal scheduling of time-sensitive orders and reverse distribution of goods.It proposes an enhanced scheme integrating the Metropolis criterion.To address the limited local search ability of the genetic algorithm, this study combines the simulated annealing algorithm's powerful local optimization capability with the genetic algorithm, thereby developing a genetic algorithm with the Metropolis criterion.The proposed method preserves the optimal chromosome in each generation population and accepts inferior chromosomes with a certain probability, thereby enhancing the likelihood of finding an optimal local solution and achieving global optimization.A comparative study is conducted with the Ant Colony Optimization, Artificial Bee Colony, and Particle Swarm Optimization algorithms, and empirical findings demonstrate that the proposed genetic algorithm effectively achieves excellent results over these algorithms", "keywords": [ "Genetic algorithm", "Path (computing)", "Computer science", "Operations research", "Algorithm", "Industrial engineering", "Engineering", "Machine learning", "Computer network" ], "cited_by_openalex": 0, "cited_by_scopus": 0, "eid": null, "pii": null, "open_access_url": "http://dx.doi.org/10.7287/peerj-cs.1347v0.1/reviews/3", "sources": [ { "db": "openalex", "stream": "TRUCK", "query_id": "TRUCK-2" } ], "streams": [ "TRUCK" ], "relevance_signals": [ "NO_TECHNOLOGY_MATCH" ], "auto_exclude_reason": "EC-4-topic", "screening_status": "auto_excluded", "screened_by": "auto-v1.0.0" }, { "id": "doi:10.7287/peerj-cs.1347v0.1/reviews/2", "doi": "10.7287/peerj-cs.1347v0.1/reviews/2", "title": "Peer Review #2 of \"Green city logistics path planning and design based on genetic algorithm (v0.1)\"", "year": 2023, "authors": [], "first_author": null, "venue": null, "volume": null, "pages": null, "type": "peer-review", "language": "en", "abstract": "Effective logistics distribution paths are crucial in enhancing the fundamental competitiveness of an enterprise.This research introduces the genetic algorithm for logistics routing to address pertinent research issues, such as suboptimal scheduling of time-sensitive orders and reverse distribution of goods.It proposes an enhanced scheme integrating the Metropolis criterion.To address the limited local search ability of the genetic algorithm, this study combines the simulated annealing algorithm's powerful local optimization capability with the genetic algorithm, thereby developing a genetic algorithm with the Metropolis criterion.The proposed method preserves the optimal chromosome in each generation population and accepts inferior chromosomes with a certain probability, thereby enhancing the likelihood of finding an optimal local solution and achieving global optimization.A comparative study is conducted with the Ant Colony Optimization, Artificial Bee Colony, and Particle Swarm Optimization algorithms, and empirical findings demonstrate that the proposed genetic algorithm effectively achieves excellent results over these algorithms", "keywords": [ "Genetic algorithm", "Path (computing)", "Computer science", "Motion planning", "Operations research", "Algorithm", "Engineering", "Artificial intelligence", "Machine learning", "Computer network" ], "cited_by_openalex": 0, "cited_by_scopus": 0, "eid": null, "pii": null, "open_access_url": "http://dx.doi.org/10.7287/peerj-cs.1347v0.1/reviews/2", "sources": [ { "db": "openalex", "stream": "TRUCK", "query_id": "TRUCK-2" } ], "streams": [ "TRUCK" ], "relevance_signals": [ "NO_TECHNOLOGY_MATCH" ], "auto_exclude_reason": "EC-4-topic", "screening_status": "auto_excluded", "screened_by": "auto-v1.0.0" }, { "id": "doi:10.7287/peerj-cs.1347v0.2/reviews/3", "doi": "10.7287/peerj-cs.1347v0.2/reviews/3", "title": "Peer Review #3 of \"Green city logistics path planning and design based on genetic algorithm (v0.2)\"", "year": 2023, "authors": [], "first_author": null, "venue": null, "volume": null, "pages": null, "type": "peer-review", "language": "en", "abstract": "Effective logistics distribution paths are crucial in enhancing the fundamental competitiveness of an enterprise.This research introduces the genetic algorithm for logistics routing to address pertinent research issues, such as suboptimal scheduling of time-sensitive orders and reverse distribution of goods.It proposes an enhanced scheme integrating the Metropolis criterion.To address the limited local search ability of the genetic algorithm, this study combines the simulated annealing algorithm's powerful local optimization capability with the genetic algorithm, thereby developing a genetic algorithm with the Metropolis criterion.The proposed method preserves the optimal chromosome in each generation population and accepts inferior chromosomes with a certain probability, thereby enhancing the likelihood of finding an optimal local solution and achieving global optimization.A comparative study is conducted with the Ant Colony Optimization, Artificial Bee Colony, and Particle Swarm Optimization algorithms, and empirical findings demonstrate that the proposed genetic algorithm effectively achieves excellent results over these algorithms", "keywords": [ "Genetic algorithm", "Path (computing)", "Computer science", "Operations research", "Algorithm", "Mathematical optimization", "Engineering", "Mathematics", "Machine learning", "Computer network" ], "cited_by_openalex": 0, "cited_by_scopus": 0, "eid": null, "pii": null, "open_access_url": "http://dx.doi.org/10.7287/peerj-cs.1347v0.2/reviews/3", "sources": [ { "db": "openalex", "stream": "TRUCK", "query_id": "TRUCK-2" } ], "streams": [ "TRUCK" ], "relevance_signals": [ "NO_TECHNOLOGY_MATCH" ], "auto_exclude_reason": "EC-4-topic", "screening_status": "auto_excluded", "screened_by": "auto-v1.0.0" }, { "id": "doi:10.7287/peerj-cs.1347v0.1/reviews/1", "doi": "10.7287/peerj-cs.1347v0.1/reviews/1", "title": "Peer Review #1 of \"Green city logistics path planning and design based on genetic algorithm (v0.1)\"", "year": 2023, "authors": [], "first_author": null, "venue": null, "volume": null, "pages": null, "type": "peer-review", "language": "en", "abstract": "Effective logistics distribution paths are crucial in enhancing the fundamental competitiveness of an enterprise.This research introduces the genetic algorithm for logistics routing to address pertinent research issues, such as suboptimal scheduling of time-sensitive orders and reverse distribution of goods.It proposes an enhanced scheme integrating the Metropolis criterion.To address the limited local search ability of the genetic algorithm, this study combines the simulated annealing algorithm's powerful local optimization capability with the genetic algorithm, thereby developing a genetic algorithm with the Metropolis criterion.The proposed method preserves the optimal chromosome in each generation population and accepts inferior chromosomes with a certain probability, thereby enhancing the likelihood of finding an optimal local solution and achieving global optimization.A comparative study is conducted with the Ant Colony Optimization, Artificial Bee Colony, and Particle Swarm Optimization algorithms, and empirical findings demonstrate that the proposed genetic algorithm effectively achieves excellent results over these algorithms", "keywords": [ "Path (computing)", "Genetic algorithm", "Computer science", "Operations research", "Algorithm", "Engineering", "Machine learning", "Computer network" ], "cited_by_openalex": 0, "cited_by_scopus": 0, "eid": null, "pii": null, "open_access_url": "http://dx.doi.org/10.7287/peerj-cs.1347v0.1/reviews/1", "sources": [ { "db": "openalex", "stream": "TRUCK", "query_id": "TRUCK-2" } ], "streams": [ "TRUCK" ], "relevance_signals": [ "NO_TECHNOLOGY_MATCH" ], "auto_exclude_reason": "EC-4-topic", "screening_status": "auto_excluded", "screened_by": "auto-v1.0.0" }, { "id": "doi:10.7287/peerj-cs.1347v0.2/reviews/1", "doi": "10.7287/peerj-cs.1347v0.2/reviews/1", "title": "Peer Review #1 of \"Green city logistics path planning and design based on genetic algorithm (v0.2)\"", "year": 2023, "authors": [], "first_author": null, "venue": null, "volume": null, "pages": null, "type": "peer-review", "language": "en", "abstract": "Effective logistics distribution paths are crucial in enhancing the fundamental competitiveness of an enterprise.This research introduces the genetic algorithm for logistics routing to address pertinent research issues, such as suboptimal scheduling of time-sensitive orders and reverse distribution of goods.It proposes an enhanced scheme integrating the Metropolis criterion.To address the limited local search ability of the genetic algorithm, this study combines the simulated annealing algorithm's powerful local optimization capability with the genetic algorithm, thereby developing a genetic algorithm with the Metropolis criterion.The proposed method preserves the optimal chromosome in each generation population and accepts inferior chromosomes with a certain probability, thereby enhancing the likelihood of finding an optimal local solution and achieving global optimization.A comparative study is conducted with the Ant Colony Optimization, Artificial Bee Colony, and Particle Swarm Optimization algorithms, and empirical findings demonstrate that the proposed genetic algorithm effectively achieves excellent results over these algorithms", "keywords": [ "Path (computing)", "Genetic algorithm", "Computer science", "Operations research", "Algorithm", "Engineering", "Machine learning", "Computer network" ], "cited_by_openalex": 0, "cited_by_scopus": 0, "eid": null, "pii": null, "open_access_url": "http://dx.doi.org/10.7287/peerj-cs.1347v0.2/reviews/1", "sources": [ { "db": "openalex", "stream": "TRUCK", "query_id": "TRUCK-2" } ], "streams": [ "TRUCK" ], "relevance_signals": [ "NO_TECHNOLOGY_MATCH" ], "auto_exclude_reason": "EC-4-topic", "screening_status": "auto_excluded", "screened_by": "auto-v1.0.0" }, { "id": "doi:10.2991/978-94-6463-102-9_30", "doi": "10.2991/978-94-6463-102-9_30", "title": "Research on sustainable urban distribution path optimization based on the nearest neighbor algorithm", "year": 2023, "authors": [ "Haoran Ma", "Ruoyu Hao" ], "first_author": "Haoran Ma", "venue": "Atlantis Highlights in Computer Sciences/Atlantis highlights in computer sciences", "volume": null, "pages": null, "type": "book-chapter", "language": "en", "abstract": "Shortest distribution route, plays a crucial role in energy consumption reduction and carbon emission control for reducing carbon emission, is seen effective in aiding to achieve sustainable development in the urban environment.This paper proposes an optimization algorithm with correlation coefficients based on the nearest neighbor algorithm for planning single-vehicle distribution routes in cities.The experimental results demonstrates the algorithm's effectiveness in shortening distribution path distances and reducing carbon emission from vehicles, which then also reveals its practical significance for the realization of green logistics.", "keywords": [ "k-nearest neighbors algorithm", "Path (computing)", "Computer science", "Algorithm", "Artificial intelligence", "Computer network" ], "cited_by_openalex": 0, "cited_by_scopus": 0, "eid": null, "pii": null, "open_access_url": "https://www.atlantis-press.com/article/125981729.pdf", "sources": [ { "db": "openalex", "stream": "TRUCK", "query_id": "TRUCK-2" } ], "streams": [ "TRUCK" ], "relevance_signals": [ "NO_TECHNOLOGY_MATCH" ], "auto_exclude_reason": "EC-4-topic", "screening_status": "auto_excluded", "screened_by": "auto-v1.0.0" }, { "id": "doi:10.1109/icamechs59878.2023.10272834", "doi": "10.1109/icamechs59878.2023.10272834", "title": "Research on the optimization of urban distribution path based on shared pre-positioned warehouse mode", "year": 2023, "authors": [ "Xueping Liu", "Yanfeng Wu", "Kai Tian" ], "first_author": "Xueping Liu", "venue": "International Conference on Advanced Mechatronic Systems Icamechs", "volume": "2023-September", "pages": "139-142", "type": "conference-paper", "language": "en", "abstract": "To reduce the cost and improve the efficiency of urban terminal distribution, this paper proposes an optimization method for urban distribution routing under the shared pre-positioned warehouse distribution mode. Firstly, the problem of the distribution system is described for the shared pre-positioned warehouse mode. Second, the objective function of minimizing the total distribution cost is constructed, including fixed cost, driving cost, and time penalty cost. Then, the genetic algorithm is designed to solve the optimal distribution path problem. Finally, one illustrative example is presented to validate the efficacy of the proposed method and the theoretical results. The results show that the shared pre-positioned warehouse mode can reduce the distribution cost by 13.62%, increase the vehicle load rate by 124.09%, and reduce the driving mileage by 66.15% than the traditional distribution.", "keywords": [ "Mode (computer interface)", "Path (computing)", "Computer science", "Distribution (mathematics)", "Warehouse", "Genetic algorithm", "Mathematical optimization", "Vehicle routing problem", "Routing (electronic design automation)", "Function (biology)", "Mathematics", "Computer network" ], "cited_by_openalex": 0, "cited_by_scopus": "0", "eid": "2-s2.0-85175234357", "pii": null, "open_access_url": "http://dx.doi.org/10.1109/icamechs59878.2023.10272834", "sources": [ { "db": "openalex", "stream": "TRUCK", "query_id": "TRUCK-2" }, { "db": "scopus", "stream": "TRUCK", "query_id": "TRUCK-2" } ], "streams": [ "TRUCK" ], "relevance_signals": [ "NO_TECHNOLOGY_MATCH" ], "auto_exclude_reason": "EC-4-topic", "screening_status": "auto_excluded", "screened_by": "auto-v1.0.0" }, { "id": "doi:10.1007/978-3-031-18641-7_56", "doi": "10.1007/978-3-031-18641-7_56", "title": "Intra-Route Location Routing for the Pickup and Delivery Problem with Transfers", "year": 2023, "authors": [ "Cansu Agrali", "Mario Ventresca", "Seokcheon Lee" ], "first_author": "Cansu Agrali", "venue": "Lecture notes in production engineering", "volume": "Part F1164", "pages": "609-617", "type": "book-chapter", "language": "en", "abstract": null, "keywords": [ "Pickup", "Transfer (computing)", "Context (archaeology)", "Node (physics)", "Vehicle routing problem", "Computer science", "Solver", "Service (business)", "Routing (electronic design automation)", "Operations research", "Range (aeronautics)", "Computer network" ], "cited_by_openalex": 0, "cited_by_scopus": "0", "eid": "2-s2.0-85166147184", "pii": null, "open_access_url": "https://doi.org/10.1007/978-3-031-18641-7_56", "sources": [ { "db": "openalex", "stream": "TRUCK", "query_id": "TRUCK-2" }, { "db": "scopus", "stream": "TRUCK", "query_id": "TRUCK-2" } ], "streams": [ "TRUCK" ], "relevance_signals": [ "NO_TECHNOLOGY_MATCH" ], "auto_exclude_reason": "EC-4-topic", "screening_status": "auto_excluded", "screened_by": "auto-v1.0.0" }, { "id": "doi:10.3233/faia230181", "doi": "10.3233/faia230181", "title": "Research on Location-Route Problem of New Energy Logistics Vehicle Distribution System", "year": 2023, "authors": [ "Hao Chen", "Xuerui Qin" ], "first_author": "Hao Chen", "venue": "Frontiers in artificial intelligence and applications", "volume": "370", "pages": "164-172", "type": "book-chapter", "language": "en", "abstract": "This paper takes the comprehensive system problem of charging station location and shortest path optimization faced by new energy vehicles in the distribution process as the research object. We hope to obtain a combination optimization method that can further support China’s use of new energy vehicles to complete urban distribution problems. This paper addresses the existing comprehensive challenges related to route selection and site allocation. It takes into account the short transportation mileage and low load capacity of new energy vehicles caused by charging constraints. At the same time, considering the timeliness of modern urban distribution, time window constraints and logic constraints are added. Taking the minimum number of charging stations and the minimum transportation cost as the multi-objective problem of combinatorial optimization, the mathematical model is finally established. After transforming the multi-objective problem into a single-objective problem, the genetic algorithm the genetic algorithm is used to solve the system problem comprehensively. Finally, an example is used to verify the feasibility and effectiveness of genetic algorithm in solving the new energy vehicle distribution – location path combination optimization problem. It provides theoretical support and development prospects for further promoting urban distribution of new energy vehicles in the future.", "keywords": [ "Genetic algorithm", "Mathematical optimization", "Computer science", "Path (computing)", "Process (computing)", "Shortest path problem", "Energy (signal processing)", "Optimization problem", "Distribution (mathematics)", "Selection (genetic algorithm)", "Operations research", "Engineering" ], "cited_by_openalex": 0, "cited_by_scopus": "0", "eid": "2-s2.0-85171464028", "pii": null, "open_access_url": "https://ebooks.iospress.nl/pdf/doi/10.3233/FAIA230181", "sources": [ { "db": "openalex", "stream": "TRUCK", "query_id": "TRUCK-2" }, { "db": "scopus", "stream": "TRUCK", "query_id": "TRUCK-2" } ], "streams": [ "TRUCK" ], "relevance_signals": [ "NO_TECHNOLOGY_MATCH" ], "auto_exclude_reason": "EC-4-topic", "screening_status": "auto_excluded", "screened_by": "auto-v1.0.0" }, { "id": "doi:10.1007/978-3-031-36115-9_63", "doi": "10.1007/978-3-031-36115-9_63", "title": "Optimization of Logistics Distribution Route Based on Ant Colony Algorithm – Taking Nantian Logistics as an Example", "year": 2023, "authors": [ "Zhong Zheng", "Shan Liu", "Xiaoying Zhou" ], "first_author": "Zhong Zheng", "venue": "Lecture notes on data engineering and communications technologies", "volume": null, "pages": null, "type": "conference-paper", "language": "en", "abstract": null, "keywords": [ "Ant colony optimization algorithms", "Computer science", "Path (computing)", "Distribution (mathematics)", "Key (lock)", "Task (project management)", "MATLAB", "Mathematical optimization", "Operations research", "Estimation of distribution algorithm", "Scheme (mathematics)", "Transport engineering" ], "cited_by_openalex": 0, "cited_by_scopus": 0, "eid": null, "pii": null, "open_access_url": "https://doi.org/10.1007/978-3-031-36115-9_63", "sources": [ { "db": "openalex", "stream": "TRUCK", "query_id": "TRUCK-2" } ], "streams": [ "TRUCK" ], "relevance_signals": [ "NO_TECHNOLOGY_MATCH" ], "auto_exclude_reason": "EC-4-topic", "screening_status": "auto_excluded", "screened_by": "auto-v1.0.0" }, { "id": "doi:10.48550/arxiv.2308.12828", "doi": "10.48550/arxiv.2308.12828", "title": "Short Run Transit Route Planning Decision Support System Using a Deep Learning-Based Weighted Graph", "year": 2023, "authors": [ "Shalit, Nadav", "Michael Fire", "Dima Kagan", "Eran Ben-Elia" ], "first_author": "Shalit, Nadav", "venue": "arXiv (Cornell University)", "volume": null, "pages": null, "type": "preprint", "language": "en", "abstract": "Public transport routing plays a crucial role in transit network design, ensuring a satisfactory level of service for passengers. However, current routing solutions rely on traditional operational research heuristics, which can be time-consuming to implement and lack the ability to provide quick solutions. Here, we propose a novel deep learning-based methodology for a decision support system that enables public transport (PT) planners to identify short-term route improvements rapidly. By seamlessly adjusting specific sections of routes between two stops during specific times of the day, our method effectively reduces times and enhances PT services. Leveraging diverse data sources such as GTFS and smart card data, we extract features and model the transportation network as a directed graph. Using self-supervision, we train a deep learning model for predicting lateness values for road segments. These lateness values are then utilized as edge weights in the transportation graph, enabling efficient path searching. Through evaluating the method on Tel Aviv, we are able to reduce times on more than 9\\% of the routes. The improved routes included both intraurban and suburban routes showcasing a fact highlighting the model's versatility. The findings emphasize the potential of our data-driven decision support system to enhance public transport and city logistics, promoting greater efficiency and reliability in PT services.", "keywords": [ "Heuristics", "Public transport", "Computer science", "Graph", "Routing (electronic design automation)", "Decision support system", "Reliability (semiconductor)", "Transport engineering", "Operations research", "Artificial intelligence", "Computer network", "Engineering" ], "cited_by_openalex": 0, "cited_by_scopus": 0, "eid": null, "pii": null, "open_access_url": "https://arxiv.org/pdf/2308.12828", "sources": [ { "db": "openalex", "stream": "TRUCK", "query_id": "TRUCK-2" } ], "streams": [ "TRUCK" ], "relevance_signals": [ "NO_TECHNOLOGY_MATCH" ], "auto_exclude_reason": "EC-4-topic", "screening_status": "auto_excluded", "screened_by": "auto-v1.0.0" }, { "id": "doi:10.1201/9781003261513-5", "doi": "10.1201/9781003261513-5", "title": "Optimisation", "year": 2023, "authors": [ "Eiichi Taniguchi", "Russell George Thompson", "Ali Gul Qureshi" ], "first_author": "Eiichi Taniguchi", "venue": null, "volume": null, "pages": null, "type": "book-chapter", "language": "en", "abstract": "A vast variety of vehicle routing problems are available in the city logistics-related literature. Chapter 4 introduces a set of vehicle routing models with the focus on the type of their data input such as deterministic vs dynamic or stochastic, types of objective functions such as economic or environmental cost minimisation, and integration of facility location component, etc . These models are not only important from the optimisation point of view but they also form the basis of evaluations of various city logistics schemes.", "keywords": [ "Computer science" ], "cited_by_openalex": 0, "cited_by_scopus": 0, "eid": null, "pii": null, "open_access_url": "http://dx.doi.org/10.1201/9781003261513-5", "sources": [ { "db": "openalex", "stream": "TRUCK", "query_id": "TRUCK-2" } ], "streams": [ "TRUCK" ], "relevance_signals": [ "NO_TECHNOLOGY_MATCH" ], "auto_exclude_reason": "EC-4-topic", "screening_status": "auto_excluded", "screened_by": "auto-v1.0.0" }, { "id": "doi:10.2139/ssrn.4319324", "doi": "10.2139/ssrn.4319324", "title": "Integrated Strategic and Tactical Design of Multi-Echelon City Distribution Systems with Vehicles Synchronization: Case of the Greater Montréal Area", "year": 2023, "authors": [ "Viviane Agnimo", "Mustapha Ouhimmou", "Marc Paquet", "Julio Montecinos" ], "first_author": "Viviane Agnimo", "venue": "SSRN Electronic Journal", "volume": null, "pages": null, "type": "preprint", "language": "en", "abstract": null, "keywords": [ "Synchronization (alternating current)", "Distribution (mathematics)", "Operations management", "Computer science", "Operations research", "Engineering", "Business", "Telecommunications", "Mathematics" ], "cited_by_openalex": 0, "cited_by_scopus": 0, "eid": null, "pii": null, "open_access_url": "https://doi.org/10.2139/ssrn.4319324", "sources": [ { "db": "openalex", "stream": "TRUCK", "query_id": "TRUCK-2" } ], "streams": [ "TRUCK" ], "relevance_signals": [ "NO_TECHNOLOGY_MATCH" ], "auto_exclude_reason": "EC-4-topic", "screening_status": "auto_excluded", "screened_by": "auto-v1.0.0" }, { "id": "doi:10.2139/ssrn.4516191", "doi": "10.2139/ssrn.4516191", "title": "Synchronizing Parcel Delivery to Public Transport Networks in Urban Co-Modality Transportation", "year": 2023, "authors": [ "Xuan Yang", "Hao Luo", "George Q. Huang" ], "first_author": "Xuan Yang", "venue": "SSRN Electronic Journal", "volume": null, "pages": null, "type": "preprint", "language": "en", "abstract": null, "keywords": [ "Synchronizing", "Modality (human–computer interaction)", "Public transport", "Business", "Environmental planning", "Transport engineering", "Computer science", "Environmental economics", "Environmental science", "Telecommunications", "Engineering", "Economics" ], "cited_by_openalex": 0, "cited_by_scopus": 0, "eid": null, "pii": null, "open_access_url": "https://doi.org/10.2139/ssrn.4516191", "sources": [ { "db": "openalex", "stream": "TRUCK", "query_id": "TRUCK-2" } ], "streams": [ "TRUCK" ], "relevance_signals": [ "NO_TECHNOLOGY_MATCH" ], "auto_exclude_reason": "EC-4-topic", "screening_status": "auto_excluded", "screened_by": "auto-v1.0.0" }, { "id": "doi:10.31649/2413-4503-2022-16-2-81-87", "doi": "10.31649/2413-4503-2022-16-2-81-87", "title": "Improving the methodology of operational planning of urban cargo transportation", "year": 2023, "authors": [ "Vitalii Ohnevyi", "Yevhenii Smyrnov", "Д. В. Борисюк" ], "first_author": "Vitalii Ohnevyi", "venue": "Journal of Mechanical Engineering and Transport", "volume": null, "pages": null, "type": "article", "language": "en", "abstract": "In the theory and practice of road haulage there are many different types of transport systems, which differ significantly from each other. Urban freight transport is usually performed by one or more vehicles on pendulum or ring routes, i.e., are a small transport system. In such transport systems there is an uneven operation of vehicles, which is the value of the deviation of production in tons and tonne-kilometers, which occurs daily depending on the influence of many factors. The most significant factors that cause uneven operation of vehicles are the inconsistency of the average technical speed of cars and their downtime under load-unloading.Uneven operation of cars significantly affects their implementation of the transportation plan, and thus leads to a decrease in productivity and profits of the trucking company. At the same time, a review of previously performed scientific papers showed that the issues of taking into account the unevenness of cars in operational planning were not given enough attention.The article proposes to consider the average technical speed and downtime under load-unloading not as determined, but as random variables, the distribution of which is consistent with the normal law. Accordingly, a mathematical apparatus is proposed, which allows to model the operation of a small transport system taking into account the uneven operation of vehicles. Taking into account the probabilistic nature of these values allows to increase the accuracy of modeling the operation of a small transport system and the possible occurrence of queues for loading or unloading in cargo terminals. Based on the use of this mathematical model, the paper improves the methodology of operational planning of urban freight. The use of the proposed technique will reduce downtime of cars and increase the efficiency of the transport company.", "keywords": [ "Haulage", "Downtime", "Transport engineering", "Truck", "Productivity", "Probabilistic logic", "Transport system", "Operations research", "Computer science", "Automotive engineering", "Engineering", "Reliability engineering" ], "cited_by_openalex": 0, "cited_by_scopus": 0, "eid": null, "pii": null, "open_access_url": "https://vmt.vntu.edu.ua/index.php/vmt/article/download/305/271", "sources": [ { "db": "openalex", "stream": "TRUCK", "query_id": "TRUCK-2" } ], "streams": [ "TRUCK" ], "relevance_signals": [ "TRUCK" ], "auto_exclude_reason": null, "screening_status": "pending_human_screening", "screened_by": "auto-v1.0.0" }, { "id": "doi:10.65109/zfom8946", "doi": "10.65109/zfom8946", "title": "Last-mile Collaboration: A Decentralized Mechanism with Performance Guarantees and its Implementation", "year": 2023, "authors": [ "Keyang Zhang", "Jose Javier Escribano Macias", "Dario Paccagnan", "Panagiotis Angeloudis" ], "first_author": "Keyang Zhang", "venue": null, "volume": null, "pages": null, "type": "conference-paper", "language": null, "abstract": "The last-mile urban freight market is characterised by soaring fragmentation, fierce competition and low profit margin. Horizontal collaboration could enable operators to exchange customers and coordinate routes, resulting in reduced costs and higher level of service. Previous research has focused on combinatorial auctions and scalable mechanisms are still limited. In this work, we propose an Iterative, Decentralized, and Auction-based Mechanism (IDAM) which is individually rational and budget balanced. It parallelizes several independent local auctions but still guarantees a bounded performance. When considering its best-case performance, IDAM could be as efficient as the centralized optimization while the worst-case performance depends on the fleet capacity and spatial distribution of customers. A case study of the Inner London Area, involving 50 companies and 1000 customers, showed that our approach achieves up to 76% cost savings.", "keywords": [ "Common value auction", "Scalability", "Profit (economics)", "Bounded function", "Competition (biology)", "Budget constraint", "Scheduling (production processes)", "Combinatorial auction" ], "cited_by_openalex": 0, "cited_by_scopus": 0, "eid": null, "pii": null, "open_access_url": "https://doi.org/10.65109/zfom8946", "sources": [ { "db": "openalex", "stream": "TRUCK", "query_id": "TRUCK-2" } ], "streams": [ "TRUCK" ], "relevance_signals": [ "NO_TECHNOLOGY_MATCH" ], "auto_exclude_reason": "EC-4-topic", "screening_status": "auto_excluded", "screened_by": "auto-v1.0.0" }, { "id": "doi:10.2139/ssrn.4549592", "doi": "10.2139/ssrn.4549592", "title": "Generating Online Freight Delivery Demand During Covid-19 Using Limited Data", "year": 2023, "authors": [ "Majid Mirzanezhad", "Richard Twumasi-Boakye", "Andrea Broaddus", "Tayo Fabusuyi" ], "first_author": "Majid Mirzanezhad", "venue": "SSRN Electronic Journal", "volume": null, "pages": null, "type": "preprint", "language": "en", "abstract": null, "keywords": [ "Coronavirus disease 2019 (COVID-19)", "2019-20 coronavirus outbreak", "Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2)", "Computer science", "Business", "Virology", "Medicine" ], "cited_by_openalex": 0, "cited_by_scopus": 0, "eid": null, "pii": null, "open_access_url": "https://doi.org/10.2139/ssrn.4549592", "sources": [ { "db": "openalex", "stream": "TRUCK", "query_id": "TRUCK-2" } ], "streams": [ "TRUCK" ], "relevance_signals": [ "NO_TECHNOLOGY_MATCH" ], "auto_exclude_reason": "EC-4-topic", "screening_status": "auto_excluded", "screened_by": "auto-v1.0.0" }, { "id": "doi:10.33042/2522-1809-2023-4-178-304-312", "doi": "10.33042/2522-1809-2023-4-178-304-312", "title": "DETERMINATION OF LOGISTICS PARAMETERS OF E-CARGO BIKES FOR SUSTAINABLE DELIVERY OF POSTAL CARGO IN CITIES", "year": 2023, "authors": [ "Yurii Davidich", "Andrii Galkin", "Denys Ponkratov", "Yevhen Kush", "Ganna Samchuk" ], "first_author": "Yurii Davidich", "venue": "Municipal economy of cities", "volume": null, "pages": null, "type": "article", "language": "en", "abstract": "The article is devoted to formation of parameters of logistics system of cargo transportation using «green technologies». The feasibility of using a distribution center with certain parameters of the supply chain is assessed. The solution of the problem of choosing the location of the logistics center was solved simultaneously with solving the problem of routing and choosing the carrying capacity of the vehicle. The number and configuration of transportation routes depends on the volume of cargo delivery, the location of the consignor and consignees, as well as on the carrying capacity of vehicles. Each location of the distribution center determines the number of routes, the distance of transportation, the volume of traffic on each section of the routes. As a result, it was proposed to use the value of the transport work of rolling stock as an indicator that takes into account these components. The initial data for determining the effective location of the distribution center is the volume of traffic for each sender and the location of consumers. In connection with the current trends in the development of \"green technologies\" in urban logistics, the question of the feasibility of using freight electric bicycles at the proposed location of the city logistics center was considered. When using green technology, electric cargo bicycles were considered as vehicles. The solution to the problem of determining the most efficient distribution center was carried out taking into account the possible carrying capacity of electric bicycles. A number of bicycles with different carrying capacities that can be used to transport mail cargo were selected. It was revealed that the rational location of the distribution center ensures minimal transport work during the transportation of goods to any carrying capacity of the bicycle. To assess the effectiveness of an electric cargo bike, the amount of transport work performed using a battery capacity unit was used as a criterion. The value of this criterion is determined by the technical characteristics of the bike, namely carrying capacity, mileage on a single battery charge and battery capacity. The value of the efficiency criterion determined the ranks of bicycles taking into account technological parameters. Keywords: logistics center, electric bike, distribution center, efficiency, supply, green technology.", "keywords": [ "Transport engineering", "Distribution center", "Carrying capacity", "Logistics center", "Volume (thermodynamics)", "Distribution (mathematics)", "Supply chain", "Computer science", "Operations research", "Business", "Engineering", "Mathematics" ], "cited_by_openalex": 0, "cited_by_scopus": 0, "eid": null, "pii": null, "open_access_url": "https://khg.kname.edu.ua/index.php/khg/article/download/6186/6106", "sources": [ { "db": "openalex", "stream": "TRUCK", "query_id": "TRUCK-2" } ], "streams": [ "TRUCK" ], "relevance_signals": [ "NO_TECHNOLOGY_MATCH" ], "auto_exclude_reason": "EC-4-topic", "screening_status": "auto_excluded", "screened_by": "auto-v1.0.0" }, { "id": "doi:10.48550/arxiv.2301.12887", "doi": "10.48550/arxiv.2301.12887", "title": "Modelling the performance of delivery vehicles across urban micro-regions to accelerate the transition to cargo-bike logistics", "year": 2023, "authors": [ "Max Schrader", "Navish Kumar", "Nicolas Collignon", "Esben Sørig", "Soonmyeong Yoon", "Akash Kumar Srivastava", "Kai Xu", "Maria Astefanoaei" ], "first_author": "Max Schrader", "venue": "arXiv (Cornell University)", "volume": null, "pages": null, "type": "preprint", "language": "en", "abstract": "Light goods vehicles (LGV) used extensively in the last mile of delivery are one of the leading polluters in cities. Cargo-bike logistics has been put forward as a high impact candidate for replacing LGVs, with experts estimating over half of urban van deliveries being replaceable by cargo bikes, due to their faster speeds, shorter parking times and more efficient routes across cities. By modelling the relative delivery performance of different vehicle types across urban micro-regions, machine learning can help operators evaluate the business and environmental impact of adding cargo-bikes to their fleets. In this paper, we introduce two datasets, and present initial progress in modelling urban delivery service time (e.g. cruising for parking, unloading, walking). Using Uber's H3 index to divide the cities into hexagonal cells, and aggregating OpenStreetMap tags for each cell, we show that urban context is a critical predictor of delivery performance.", "keywords": [ "City logistics", "Transport engineering", "Context (archaeology)", "Computer science", "Service (business)", "Traffic management", "Business model", "Business", "Operations research", "Engineering", "Geography", "Marketing" ], "cited_by_openalex": 0, "cited_by_scopus": 0, "eid": null, "pii": null, "open_access_url": "https://arxiv.org/pdf/2301.12887", "sources": [ { "db": "openalex", "stream": "TRUCK", "query_id": "TRUCK-2" } ], "streams": [ "TRUCK" ], "relevance_signals": [ "NO_TECHNOLOGY_MATCH" ], "auto_exclude_reason": "EC-4-topic", "screening_status": "auto_excluded", "screened_by": "auto-v1.0.0" }, { "id": "doi:10.54660/ijaiet.2023.4.1.59-71", "doi": "10.54660/ijaiet.2023.4.1.59-71", "title": "Optimization of Last-Mile Logistics Operations in Saudi Megacities Using Data-Driven Decision Models", "year": 2023, "authors": [ "Samir Ali Syed" ], "first_author": "Samir Ali Syed", "venue": "International Journal of Artificial Intelligence Engineering and Transformation", "volume": null, "pages": null, "type": "article", "language": null, "abstract": "Last-mile logistics in Saudi megacities such as Riyadh, Jeddah, and Dammam face unprecedented challenges driven by rapid urbanization, escalating e-commerce demand, extreme climatic conditions, and complex traffic dynamics. Traditional delivery systems struggle with inefficient routing, unpredictable demand fluctuations, inadequate capacity planning, and suboptimal service levels, resulting in elevated operational costs, delayed deliveries, and environmental concerns. This article examines the application of data-driven decision models to optimize last-mile logistics operations in Saudi urban contexts. Leveraging advanced routing algorithms, machine learning-based demand forecasting, dynamic capacity planning frameworks, and service-level optimization techniques, these models enable logistics providers to achieve significant improvements in cost efficiency, delivery time reliability, and customer satisfaction while reducing carbon emissions and traffic congestion. The integration of real-time traffic data, historical delivery patterns, customer preference profiles, and geospatial information facilitates adaptive decision-making that responds to urban mobility constraints and seasonal demand variations. Implementation considerations specific to Saudi megacities include infrastructure readiness, data quality assurance, regulatory compliance, and workforce capability development. Future directions emphasize integration with emerging smart city platforms, autonomous delivery technologies, and real-time adaptive logistics systems that leverage Internet of Things sensors, connected vehicle networks, and artificial intelligence-driven coordination mechanisms to create resilient and sustainable urban delivery ecosystems.", "keywords": [ "Megacity", "Leverage (statistics)", "Decision support system", "Service provider", "Geospatial analysis", "Smart city", "Traffic congestion", "Sustainability", "Resilience (materials science)" ], "cited_by_openalex": 0, "cited_by_scopus": 0, "eid": null, "pii": null, "open_access_url": "https://www.artificialinteljournal.com/uploads/archives/20260211111258_AIE-2023-1-001.1.pdf", "sources": [ { "db": "openalex", "stream": "TRUCK", "query_id": "TRUCK-2" } ], "streams": [ "TRUCK" ], "relevance_signals": [ "NO_TECHNOLOGY_MATCH" ], "auto_exclude_reason": "EC-4-topic", "screening_status": "auto_excluded", "screened_by": "auto-v1.0.0" }, { "id": "doi:10.2139/ssrn.4663371", "doi": "10.2139/ssrn.4663371", "title": "Crowdshipping Problem with Dynamic Compensations and Transshipments", "year": 2023, "authors": [ "Ali anon", "Kerim U. Kızıl", "Barış Yıldız" ], "first_author": "Ali anon", "venue": "SSRN Electronic Journal", "volume": null, "pages": null, "type": "preprint", "language": "en", "abstract": null, "keywords": [ "Mathematical optimization", "Computer science", "Mathematics" ], "cited_by_openalex": 0, "cited_by_scopus": 0, "eid": null, "pii": null, "open_access_url": "https://doi.org/10.2139/ssrn.4663371", "sources": [ { "db": "openalex", "stream": "TRUCK", "query_id": "TRUCK-2" } ], "streams": [ "TRUCK" ], "relevance_signals": [ "NO_TECHNOLOGY_MATCH" ], "auto_exclude_reason": "EC-4-topic", "screening_status": "auto_excluded", "screened_by": "auto-v1.0.0" }, { "id": "doi:10.1109/icpeca56706.2023.10076134", "doi": "10.1109/icpeca56706.2023.10076134", "title": "Research and Development of Grid Infrastructure Intelligent Monitoring Platform Based on Distributed Real-time Sensor Network", "year": 2023, "authors": [ "Yan Yan", "Chunli Wang", "Na Zhang", "Bingqian Chen", "Xilong Chen", "Xiaomin Chen" ], "first_author": "Yan Yan", "venue": "2023 IEEE 3rd International Conference on Power Electronics and Computer Applications Icpeca 2023", "volume": null, "pages": "1024-1028", "type": "conference-paper", "language": "en", "abstract": "The construction of the power grid is a huge project involving various aspects such as electricity, communication and transportation. Distributed systems have the characteristics of convenient and flexible nonlinear data collection, so higher requirements are put forward for distributed equipment monitoring. At present, domestic research on intelligent network technology is still in its infancy. However, with the rapid development of social and economic levels, more and more demands for power supply security and reliability have also increased. At the same time, the traditional power grid has serious network failure problems in the construction process, it cannot adapt to the modern communication system of modern cities, which has caused a huge impact on the power grid construction. The distributed real-time monitoring platform can timely detect the problems in the urban power system for the power supply department, and provide reliable, accurate, stable and safe services. This paper first analyzes the distributed optical fiber sensing technology, which uses the unique characteristics of optical fibers to connect the distributed optical fiber sensor array to the power grid monitoring network, and then uses the traditional power transmission method to monitor the urban distribution network in real time, determines grid operating status through data analysis and simulation measurements. Secondly, this paper analyzes the software scheme and implementation of remote real-time monitoring system, which provides technical support for the construction of distributed real-time monitoring system. Finally, this paper proposes the data transmission based on distributed gateway and monitoring network communication, and uses network routing protocol to monitor and protect parameters such as grid voltage, current and signal in real time, so as to realize the real-time monitoring of grid voltage.", "keywords": [ "Computer science", "Smart grid", "Default gateway", "Grid", "Reliability (semiconductor)", "Distributed power", "Wireless sensor network", "Distributed computing", "Real-time computing", "Computer network", "Power (physics)", "Engineering" ], "cited_by_openalex": 0, "cited_by_scopus": "0", "eid": "2-s2.0-85152239683", "pii": null, "open_access_url": "http://dx.doi.org/10.1109/icpeca56706.2023.10076134", "sources": [ { "db": "openalex", "stream": "TRUCK", "query_id": "TRUCK-2" }, { "db": "scopus", "stream": "TRUCK", "query_id": "TRUCK-2" } ], "streams": [ "TRUCK" ], "relevance_signals": [ "NO_TECHNOLOGY_MATCH" ], "auto_exclude_reason": "EC-4-topic", "screening_status": "auto_excluded", "screened_by": "auto-v1.0.0" }, { "id": "doi:10.1007/978-3-031-36115-9_58", "doi": "10.1007/978-3-031-36115-9_58", "title": "Multi-depot Open Electric Truck Routing Problem with Dynamic Discharging", "year": 2023, "authors": [ "Xue Yang", "Ning Chen" ], "first_author": "Xue Yang", "venue": "Lecture notes on data engineering and communications technologies", "volume": "180", "pages": "640-650", "type": "conference-paper", "language": "en", "abstract": null, "keywords": [ "Truck", "Vehicle routing problem", "Economic shortage", "Genetic algorithm", "Mathematical optimization", "Range (aeronautics)", "Computer science", "Routing (electronic design automation)", "Electric vehicle", "Encoding (memory)", "Dynamic programming", "Distribution (mathematics)" ], "cited_by_openalex": 0, "cited_by_scopus": "0", "eid": "2-s2.0-85188253524", "pii": null, "open_access_url": "https://doi.org/10.1007/978-3-031-36115-9_58", "sources": [ { "db": "openalex", "stream": "TRUCK", "query_id": "TRUCK-3" }, { "db": "scopus", "stream": "TRUCK", "query_id": "TRUCK-3" } ], "streams": [ "TRUCK" ], "relevance_signals": [ "TRUCK_NO_CTX" ], "auto_exclude_reason": "EC-4-topic", "screening_status": "auto_excluded", "screened_by": "auto-v1.0.0" }, { "id": "doi:10.2139/ssrn.4618076", "doi": "10.2139/ssrn.4618076", "title": "Depot Charging Schedule Optimization for Medium- and Heavy-Duty Battery-Electric Trucks", "year": 2023, "authors": [ "Shuhan Song", "Yin Qiu", "Robyn Leigh Coates", "Cristina Dobbelaere", "Paige Seles" ], "first_author": "Shuhan Song", "venue": "SSRN Electronic Journal", "volume": null, "pages": null, "type": "preprint", "language": "en", "abstract": null, "keywords": [ "Truck", "Schedule", "Automotive engineering", "Heavy duty", "Battery (electricity)", "Duty", "Business", "Computer science", "Engineering", "Physics", "Power (physics)", "Political science" ], "cited_by_openalex": 0, "cited_by_scopus": 0, "eid": null, "pii": null, "open_access_url": "https://doi.org/10.2139/ssrn.4618076", "sources": [ { "db": "openalex", "stream": "TRUCK", "query_id": "TRUCK-3" } ], "streams": [ "TRUCK" ], "relevance_signals": [ "TRUCK_NO_CTX" ], "auto_exclude_reason": "EC-4-topic", "screening_status": "auto_excluded", "screened_by": "auto-v1.0.0" }, { "id": "doi:10.70675/a52adc1fzadbfz4486zb574zffffd9d4b420", "doi": "10.70675/a52adc1fzadbfz4486zb574zffffd9d4b420", "title": "Real-time Truck Scheduling in Cross-Docking : A Hybrid Multi-Agent Simulation Framework", "year": 2023, "authors": [ "Ayse Bilge Torbali" ], "first_author": "Ayse Bilge Torbali", "venue": null, "volume": null, "pages": null, "type": "dissertation", "language": "fr", "abstract": "Planification temps réel de camions en cross-docking : un cadre de simulation hybride multi-agents Dans cette thèse nous proposons une nouvelle approche de planification en temps réel en entrepôts cross-dock. Le cross-docking est une technique de logistique permettant l'accélération du flux de marchandises dans un entrepôt avec zéro ou minimum stockage (moins de 24 heures), en orchestrant efficacement les activités entrantes et sortantes ainsi que les opérations internes de l'entrepôt. À travers une revue littéraire complète, nous soulignons d'abord le besoin d'explorer les approches temps réel pour le cross-docking.Le cadre de planification de camions en temps réel proposé est basé sur un modèle hybride combinant simulation multi-agent (SMA) et simulation à événements discrets (SED). Nous proposons d'utiliser la SMA pour les décisions de planification de camions et la SED pour l'exécution des opérations internes au cross-dock afin de bénéficier des forces des deux techniques : l'approche multi-agent a les propriétés d'autonomie, de réactivité et un caractère distribué, lui permettant de répondre de manière flexible aux événements dynamiques tels que l'arrivée de camions. La SED, orientée sur les procédés, permet le contrôle centralisé des opérations internes. Le cadre proposé est implémenté en trois configurations différentes.Nous nous intéressons tout d'abord à la configuration de cross-dock avec une seule entrée et une seule sortie afin de bien comprendre les dynamiques complexes du système et les mécanismes à l'œuvre dans la planification multi-agent de camions en temps réel. Ce modèle initial est ensuite porté à l'échelle dans une configuration de cross-dock avec multiples quais d'entrée et multiples quais de sortie en augmentant graduellement le nombre de quais. Les mécanismes de décision de sélection de camion sont alors portés à l'échelle et de nouveaux mécanismes de décision (ex. sélection de quai) sont ajoutés au modèle. De manière similaire, le fonctionnement interne de l'entrepôt est adapté aux besoins de la configuration multi-quai (ex. espace de stockage temporaire distribué). Pour chacune de ces configurations, la performance du modèle est évaluée pour une combinaison de différents niveaux de trafic et des stratégies variées de sélection de camion-à-quai. L'impact des résultats est attesté par des tests d'analyse de variance (ANOVA). De plus, des analyses de comportement et de temps de calcul du modèle multi-quais sont effectuées. Enfin, un troisième modèle est développé dans le but d'illustrer le fait que l'approche proposée peut être appliquée avec succès à d'autres configurations de problèmes de planification de camion. Ainsi, un problème de planification de camion existant dans la littérature, qui fait appel à une optimisation mathématique, est sélectionné. Les instances du problème de l'étude choisie sont exploités dans le but d'effectuer un comparatif. L'analyse des résultats des métriques de performances est présentée d'un point de vue comparatif.L'approche hybride multi-agent proposée révèle son efficacité en permettant une rapide synchronisation des cross-docks face à l'incertitude. Elle ouvre la voie à de futures applications temps réel dans le domaine.", "keywords": [ "Scheduling (production processes)", "Processor scheduling", "Rail transportation" ], "cited_by_openalex": 0, "cited_by_scopus": 0, "eid": null, "pii": null, "open_access_url": "http://www.theses.fr/2023GRALI093/document", "sources": [ { "db": "openalex", "stream": "TRUCK", "query_id": "TRUCK-3" } ], "streams": [ "TRUCK" ], "relevance_signals": [ "TRUCK_NO_CTX" ], "auto_exclude_reason": "EC-4", "screening_status": "auto_excluded", "screened_by": "auto-v1.0.0" }, { "id": "doi:10.2139/ssrn.4622799", "doi": "10.2139/ssrn.4622799", "title": "Cross-Dock Scheduling by Considering Unloading Preemption and Fixed Departure Time for Outbound Trucks", "year": 2023, "authors": [ "Hamidreza Abedsoltan", "Shayan Mozaffari Doust", "Mohammad Mahdi Nasiri" ], "first_author": "Hamidreza Abedsoltan", "venue": "SSRN Electronic Journal", "volume": null, "pages": null, "type": "preprint", "language": "en", "abstract": null, "keywords": [ "Preemption", "DOCK", "Truck", "Scheduling (production processes)", "Computer science", "Business", "Operations management", "Economics", "Engineering", "Operating system", "Marine engineering" ], "cited_by_openalex": 0, "cited_by_scopus": 0, "eid": null, "pii": null, "open_access_url": "https://doi.org/10.2139/ssrn.4622799", "sources": [ { "db": "openalex", "stream": "TRUCK", "query_id": "TRUCK-3" } ], "streams": [ "TRUCK" ], "relevance_signals": [ "TRUCK_NO_CTX" ], "auto_exclude_reason": "EC-4-topic", "screening_status": "auto_excluded", "screened_by": "auto-v1.0.0" }, { "id": "doi:10.46254/au01.20220450", "doi": "10.46254/au01.20220450", "title": "Cross Docking Distribution System Design", "year": 2023, "authors": [ "Albertus Laurensius Setyabudhi", "Humala Lodewijk Napitupulu", "Rosnani Ginting", "Meilita Tryana Sembiring" ], "first_author": "Albertus Laurensius Setyabudhi", "venue": null, "volume": null, "pages": null, "type": "conference-paper", "language": "en", "abstract": "PT. XYZ is a logistics service company located in Batam.The problems that occur at this time are the problem of overcrowding in the warehouse and wrong sorting.This study aims to identify how the proposed efficiency improvement in the distribution system of goods using the cross docking method.The method that will be used in this research is the cross docking method.Cross docking is eliminating the storage process in the warehouse, so it can save time and money.The cross docking distribution system does not have continuous storage of goods, because its function is only a transit point for a shipment of goods.Goods are not stored for a long time, so the flow of goods is received until they are sent back, which is about 2-3 hours, or a maximum of 12 hours, in the warehouse, there are no available shelves or zero inventory.Based on the research, the data processing and discussion results are very profitable, namely efficiency for zero inventory.Shows that if the company adds 1 sorting table to 6 sorting tables with a result of 90,000kg, once loading and unloading aircraft is ±77,000kg, this can be shown to be 90,000kg>77,000kg efficiency is generated because the output of the sorting table is greater than the incoming input so that there are no goods stored in the warehouse and increase the number of trucks by 10 units, then the delivery of goods can be done one way and no goods are stored in the warehouse.The results of the analysis can be said that the application of cross docking in the company gains efficiency in the distribution of goods to expedition partners.", "keywords": [ "Computer science" ], "cited_by_openalex": 0, "cited_by_scopus": 0, "eid": null, "pii": null, "open_access_url": "https://ieomsociety.org/proceedings/2022australia/450.pdf", "sources": [ { "db": "openalex", "stream": "TRUCK", "query_id": "TRUCK-3" } ], "streams": [ "TRUCK" ], "relevance_signals": [ "TRUCK_NO_CTX" ], "auto_exclude_reason": "EC-4-topic", "screening_status": "auto_excluded", "screened_by": "auto-v1.0.0" }, { "id": "doi:10.21203/rs.3.rs-3155023/v1", "doi": "10.21203/rs.3.rs-3155023/v1", "title": "Multi-objective Optimization Model of Truck Scheduling Problem using Cross-Dock in Supply Chain Management: NSGA-II & NRGA", "year": 2023, "authors": [ "Ahsan Haqhgoie", "Alireza Irajpour", "Nasser Hamidi" ], "first_author": "Ahsan Haqhgoie", "venue": "Research Square", "volume": null, "pages": null, "type": "preprint", "language": "en", "abstract": "Abstract A large percentage of the cost of most products is related to shipping and distribution costs. By the proper design of the product distribution network, as an important part of the supply chain, these costs can be reduced in the logistic activities. The use of cross-docks between suppliers and customers is a solution utilized in supply chain management to reduce costs. Cross-docks are one of the most important options for reducing time in the supply chain. Accordingly, this paper develops a multi-objective problem of scheduling the operations of trucks entering and exiting cross-docks by considering that the number of products that are unloaded or loaded by trucks is fuzzy logistic. The first objective function minimizes the maximum time to receive the products. The second objective function minimizes the emission cost of trucks. Finally, the third objective function minimizes the number of trucks assigned to the entrance and exit doors. Then, two steps are implemented to validate and modify the proposed model. In the first step, two random numerical examples in small dimensions were solved by GAMS software with min-max objective function as well as Genetic Algorithms (GA) and Particle Swarm Optimization (PSO). In the second step, due to the increasing dimensions of the problem and computational complexity, the problem in question is part of the NP-Hard problem and therefore multi-objective meta-heuristic algorithms are utilized along with validation and parameter adjustment. Therefore, non-dominated sorting genetic algorithm (NSGA-II) and non-dominated ranking genetic algorithm (NSGA) are employed to solve 30 random problems in high dimensions. Then, the algorithms were ranked using the TOPSIS method for each problem according to the results obtained from the evaluation criteria. The analysis of the results confirms the applicability of the proposed model and solution methods.", "keywords": [ "Truck", "Mathematical optimization", "Genetic algorithm", "Supply chain", "Sorting", "Computer science", "Particle swarm optimization", "Scheduling (production processes)", "Supply chain management", "Multi-objective optimization", "Operations research", "Engineering" ], "cited_by_openalex": 0, "cited_by_scopus": 0, "eid": null, "pii": null, "open_access_url": "https://www.researchsquare.com/article/rs-3155023/latest.pdf", "sources": [ { "db": "openalex", "stream": "TRUCK", "query_id": "TRUCK-3" } ], "streams": [ "TRUCK" ], "relevance_signals": [ "TRUCK_NO_CTX" ], "auto_exclude_reason": "EC-4-topic", "screening_status": "auto_excluded", "screened_by": "auto-v1.0.0" }, { "id": "doi:10.1109/iiai-aai59060.2023.00122", "doi": "10.1109/iiai-aai59060.2023.00122", "title": "An Efficient Pallet Layout Planning of Conveyor-Like AGV System in the Omni-Channel Cross-Docking Operation", "year": 2023, "authors": [ "Teng-Sheng Su", "Shi-Pei Lin", "Shan-Ru Hu", "Hui-ting Liang" ], "first_author": "Teng-Sheng Su", "venue": "Proceedings 2023 14th Iiai International Congress on Advanced Applied Informatics Iiai Aai 2023", "volume": null, "pages": "616-620", "type": "conference-paper", "language": "en", "abstract": "In a cross-docking of the omni-channel retailing distribution center, how to de-sign an intelligent goods staging and pallets layout strategy with multi-time window to make loaded trucks on-time delivery has become a mainstream in the omni-channel logistics system. In this study, a fuzzy-set-based method adopted to solve movable pallets layout problem in an onmi-channel cross-docking with conveyor-like AGV systems is developed. Three tasks of the layout design are presented. Firstly, the movable pallets zone formation in a cross-dock warehouse is generated based on the workload balance of inbound and outbound docks and the material flow configuration. Secondly, the flow ranking of movable pallets in zones is calculated to generate conveyor-AGV cross-dock transporting blocks. Thirdly, each of movable pallets within zones is ordered to explore the exact initial layout. An experimental example is to demonstrate and validate the proposed layout methods in improving the material flow and increasing cross-dock operations efficiency of an omni-channel distribution center with conveyor-like AGV systems.", "keywords": [ "Pallet", "Truck", "Computer science", "Page layout", "Channel (broadcasting)", "DOCK", "Conveyor system", "Material flow", "Automated guided vehicle", "Simulation", "Engineering", "Automotive engineering" ], "cited_by_openalex": 0, "cited_by_scopus": "0", "eid": "2-s2.0-85183464317", "pii": null, "open_access_url": "http://dx.doi.org/10.1109/iiai-aai59060.2023.00122", "sources": [ { "db": "openalex", "stream": "TRUCK", "query_id": "TRUCK-3" }, { "db": "scopus", "stream": "TRUCK", "query_id": "TRUCK-3" } ], "streams": [ "TRUCK" ], "relevance_signals": [ "TRUCK_NO_CTX" ], "auto_exclude_reason": "EC-4-topic", "screening_status": "auto_excluded", "screened_by": "auto-v1.0.0" }, { "id": "title:planification temps reel de camions en cross docking un cadre de simulation hybride multi agents", "doi": null, "title": "Planification temps réel de camions en cross-docking : un cadre de simulation hybride multi-agents", "year": 2023, "authors": [ "Ayse Bilge Torbali" ], "first_author": "Ayse Bilge Torbali", "venue": "HAL (Le Centre pour la Communication Scientifique Directe)", "volume": null, "pages": null, "type": "dissertation", "language": "en", "abstract": "In this thesis we propose a novel framework for real-time truck scheduling in cross-dock warehouses. Cross-docking is a logistics technique that enables fast material flows with minimal (less than 24 hours) or no intermediate storage by efficiently orchestrating the inbound and outbound activities together with the internal operations. Through a comprehensive literature review, we first highlight the need to explore real-time approaches for cross-docking.The proposed framework for real-time truck scheduling problem is based on a hybrid model combining multi-agent-based simulation (MAS) and discrete-event simulation (DES). We propose to use the MAS for truck scheduling decisions and DES for the execution of internal operations inside the cross-dock to benefit from the strengths of both techniques: The multi-agent approach practices the autonomous, reactive and thus distributed responsibility characteristics of the agents to realise shared computation and respond flexibly to dynamic events such as truck arrivals. The process-oriented DES enables central control of internal operations. The framework is implemented on three different settings.We first focus on the single inbound and outbound cross-dock setting, for a better understanding of the complex dynamics of the system and the mechanisms involved in multi-agent-based real-time truck scheduling. This initial model is then scaled up to multiple inbound and outbound door cross-dock settings by gradually increasing the number of doors. To this end, the decision mechanisms on truck selection are scaled up, and new decision mechanisms (i.e. door selection) are added to the model. Similarly, the internal configuration of the platform is adapted towards the requirements of the multiple-door settings (e.g. distributed temporary storage). For both model settings, the performance of the proposed models is evaluated by employing a combination of different traffic levels and various truck-to-door assignment strategies. The significance of the results is attested using ANOVA (analysis of variance) tests. In addition, model behaviour and computational complexity analyses are performed as the model scales up. Finally, a third model is developed to illustrate that the proposed approach can successfully apply to other truck scheduling problem configurations. To this end, an existing truck scheduling problem in the cross-docking literature, which employs a mathematical optimisation, is selected. The problem instances of the chosen study are used for comparison purposes. The analysis of the results on the performance metrics is presented from a comparative point of view.The proposed multi-agent-based hybrid approach reveals its efficacy in enabling fast synchronisation of cross-docks against uncertainty. It paves the way for future real-time applications in this field.", "keywords": [ "Truck", "Scheduling (production processes)", "Computation", "Focus (optics)", "Decision support system", "Selection (genetic algorithm)" ], "cited_by_openalex": 0, "cited_by_scopus": 0, "eid": null, "pii": null, "open_access_url": "https://theses.hal.science/tel-04812226v1/document", "sources": [ { "db": "openalex", "stream": "TRUCK", "query_id": "TRUCK-3" } ], "streams": [ "TRUCK" ], "relevance_signals": [ "TRUCK_NO_CTX" ], "auto_exclude_reason": "EC-4-topic", "screening_status": "auto_excluded", "screened_by": "auto-v1.0.0" }, { "id": "doi:10.7737/jkorms.2023.48.4.023", "doi": "10.7737/jkorms.2023.48.4.023", "title": "Delivery Position Clustering & RGSO Parallel Truck-Drone Scheduling", "year": 2023, "authors": [ "Sung-Soo Kim", "Min-Seop Shin" ], "first_author": "Sung-Soo Kim", "venue": "한국경영과학회지", "volume": null, "pages": null, "type": "article", "language": "en", "abstract": "The objective of this paper is to propose two steps truck and drone delivery model based on Parallel Drone Scheduling TSP (PDSTSP) to minimize the completion time that is the time at which the truck and drones return to the depot. In step 1, all delivery positions are clustered based on the relative distance rate of each delivery position and distance between central position data of each cluster. The average of all delivery positions of clusters can be the centroid for tentative drone station to overcome the flight range limitation of drone. The truck and drone station depart from depot to the centroid of each cluster. The truck and drone station are separated each other and the drone station is established in the centroid of each cluster. In step 2, Routing Group Search Optimization (RGSO) is used to find the best schedule and routing of the truck and drone from each centroid to better balance vehicle and drone delivery which can complement drone and truck delivery services. After finishing the deliveries, the truck and drone station are combined and return to depot. Our simulation results show that our methodology is very effective based on the several experiments and analysis.", "keywords": [ "Drone", "Truck", "Scheduling (production processes)", "Computer science", "Cluster analysis", "Centroid", "Schedule", "Cluster (spacecraft)", "Real-time computing", "Engineering", "Operations management", "Computer network" ], "cited_by_openalex": 0, "cited_by_scopus": 0, "eid": null, "pii": null, "open_access_url": "http://dx.doi.org/10.7737/jkorms.2023.48.4.023", "sources": [ { "db": "openalex", "stream": "TRUCK", "query_id": "TRUCK-3" } ], "streams": [ "TRUCK" ], "relevance_signals": [ "UAV_NO_CTX", "TRUCK_NO_CTX" ], "auto_exclude_reason": "EC-4-topic", "screening_status": "auto_excluded", "screened_by": "auto-v1.0.0" }, { "id": "doi:10.2139/ssrn.4326523", "doi": "10.2139/ssrn.4326523", "title": "A Coordinated Truck-and-Drone Dss for Improving Wildfire Detection Coverage", "year": 2023, "authors": [ "Maryam Momeni", "Hamed Soleimani", "Shahrooz Shahparvari", "Behrouz Afshar-Nadjafi" ], "first_author": "Maryam Momeni", "venue": "SSRN Electronic Journal", "volume": null, "pages": null, "type": "preprint", "language": "en", "abstract": null, "keywords": [ "Drone", "Truck", "Business", "Computer science", "Aeronautics", "Transport engineering", "Engineering", "Automotive engineering" ], "cited_by_openalex": 0, "cited_by_scopus": 0, "eid": null, "pii": null, "open_access_url": "https://doi.org/10.2139/ssrn.4326523", "sources": [ { "db": "openalex", "stream": "TRUCK", "query_id": "TRUCK-3" } ], "streams": [ "TRUCK" ], "relevance_signals": [ "UAV_NO_CTX", "TRUCK_NO_CTX" ], "auto_exclude_reason": "EC-4-topic", "screening_status": "auto_excluded", "screened_by": "auto-v1.0.0" }, { "id": "doi:10.67656/njmse.2023.qyw8n8m6", "doi": "10.67656/njmse.2023.qyw8n8m6", "title": "Cost-Benefit and Safety Comparison of Road and Pipeline Transport for Petroleum Products in Kano Depot, Nigeria", "year": 2023, "authors": [ "Muhammad Auwal Sani", "A. A. Alabi" ], "first_author": "Muhammad Auwal Sani", "venue": "Nigerian Journal of Materials Science and Engineering", "volume": null, "pages": null, "type": "article", "language": "en", "abstract": "The Nigerian downstream petroleum sector faces numerous challenges, including underutilised refineries, poorly maintained pipelines and storage facilities, vandalism, and inadequate transportation infrastructure, all of which hinder the efficient supply and distribution of refined petroleum products nationwide. Originally intended as a supplementary method, road transportation has largely replaced pipeline transport for petroleum product delivery. This descriptive study examines the supply sources, safety implications, costs, and socioeconomic impacts of shifting from pipeline to road truck transportation at the Kano Depot. Data were collected from primary sources through a questionnaire-based survey of 81 randomly selected participants from ten oil transport companies and secondary sources, including interviews, journals, articles, online resources, reports, and templates from relevant petroleum sector agencies. Data analysis was conducted using descriptive and inferential statistics via the Statistical Package for Social Sciences (SPSS). The results identify key supply sources and highlight safety challenges such as poor road conditions, accidents, mechanical failures, and human factors, with correlations indicating interrelationships among these constraints. Cost related issues, including delivery shortages and transportation expenses, were also quantified. The study further evaluates the positive and negative socioeconomic impacts of this transportation shift, with significant p-values derived from various analytical methods.", "keywords": [ "Truck", "Pipeline transport", "Petroleum", "Descriptive statistics", "Product (mathematics)", "Pipeline (software)", "Petroleum product", "Economic shortage", "Supply chain" ], "cited_by_openalex": 0, "cited_by_scopus": 0, "eid": null, "pii": null, "open_access_url": "https://njmse.msn.ng/article/cost-benefit-and-safety-comparison-of-road-and-pipeline-transport-for-petroleum-products-in-kano-depot-nigeria.pdf", "sources": [ { "db": "openalex", "stream": "TRUCK", "query_id": "TRUCK-3" } ], "streams": [ "TRUCK" ], "relevance_signals": [ "TRUCK_NO_CTX" ], "auto_exclude_reason": "EC-4-topic", "screening_status": "auto_excluded", "screened_by": "auto-v1.0.0" }, { "id": "doi:10.46254/na07.20220312", "doi": "10.46254/na07.20220312", "title": "Optimization of Lubricant Distribution with Alternative Coordinates and Number of Warehouses Considering Truck Capacity and Time Windows", "year": 2023, "authors": [ "Taufik Rizkiandi", "Teuku Yuri M. Zagloel", "Andri D. Setiawan" ], "first_author": "Taufik Rizkiandi", "venue": null, "volume": null, "pages": null, "type": "conference-abstract", "language": "en", "abstract": "The contribution of the transportation and warehousing sector in Indonesia in 2020 decreased to rank eight at 3.81% compared to 2019 data at rank seven at 4.41%, according to data from the Central Bureau of Statistics Indonesia (BPS). The decline in the transportation and warehousing business sector to the GDP contribution has resulted in oil and gas companies implementing a strategic advantage with cost leadership to achieve a strategic fit for efficient supply chain lubricants. The existence of service time limits in the warehouse for shipping and receiving lubricant products is essential in determining an efficient route. The addition of depot points as a solution to meet the demand for lubricants to the service level. The proposed depot point is obtained through K-Means Clustering and optimal route with limited truck capacity and service time in the warehouse using the CVRPTW (Capacitated Vehicle Routing Problem with Time Windows) method. The data is used to realize shipments of lubricant products in 2019-2021 in state-owned oil and gas companies in Indonesia. The realization data for 2019 describes the demand for pre-covid 19 lubricants. The realization data for 2020 is the demand for lubricants during covid 19, and the realization data for 2021 describes the demand for lubricants post-covid-19. The results obtained two proposed hub points at coordinates -6. 59395726,107.47077792 and -7.388939,111.76971405. Furthermore, the increase in truck utility is 72%, and the total cost after adding a depot is 10% lower than the existing condition.", "keywords": [ "Truck", "Computer science", "Lubricant", "Warehouse", "Distribution (mathematics)", "Automotive engineering", "Mathematics", "Engineering", "Mechanical engineering", "Business" ], "cited_by_openalex": 0, "cited_by_scopus": 0, "eid": null, "pii": null, "open_access_url": "https://ieomsociety.org/proceedings/2022orlando/312.pdf", "sources": [ { "db": "openalex", "stream": "TRUCK", "query_id": "TRUCK-3" } ], "streams": [ "TRUCK" ], "relevance_signals": [ "TRUCK_NO_CTX" ], "auto_exclude_reason": "EC-4-topic", "screening_status": "auto_excluded", "screened_by": "auto-v1.0.0" }, { "id": "doi:10.1049/icp.2023.1654", "doi": "10.1049/icp.2023.1654", "title": "Emergency material supply in disaster relief operations based on truck-UAV collaborative distribution", "year": 2023, "authors": [ "Cheng Zhang", "Ye Li", "Jiansong Zhang", "C. Wei", "Jicai Liang" ], "first_author": "Cheng Zhang", "venue": "IET conference proceedings.", "volume": "2023", "pages": "282-288", "type": "conference-paper", "language": "en", "abstract": "Given the urgency inherent in disaster relief operations, a supply mode for the distribution of emergency materials, utilizing collaboration between truck and drone transportation, is proposed. In this model, decisions concerning the supply method for each depot with specific material demands, the sequential ordering of unmanned aerial vehicles (UAVs), and the route planning for the trucks are integrated into a singular combinatorial optimization problem. A mixed-integer linear programming (MILP) model is formulated to minimize the overall delivery completion time. Two distinct algorithms are devised to solve this problem efficiently: a logic-based Benders decomposition algorithm and a hybrid genetic algorithm. Numerical experiments conducted on 40 instances demonstrate that the proposed model and algorithms robustly support the novel supply mode grounded in truck- UAV collaborative distribution. The results provide valuable insights for decision-makers seeking to develop efficient, accurate, and globally optimal supply solutions and carry significant theoretical and practical implications.", "keywords": [ "Truck", "Computer science", "Integer programming", "Mode (computer interface)", "Decomposition", "Linear programming", "Operations research", "Genetic algorithm", "Emergency management", "Integer (computer science)", "Mathematical optimization", "Engineering" ], "cited_by_openalex": 0, "cited_by_scopus": "0", "eid": "2-s2.0-85188316120", "pii": null, "open_access_url": "http://dx.doi.org/10.1049/icp.2023.1654", "sources": [ { "db": "openalex", "stream": "TRUCK", "query_id": "TRUCK-3" }, { "db": "openalex", "stream": "UAV", "query_id": "UAV-3" }, { "db": "scopus", "stream": "TRUCK", "query_id": "TRUCK-3" }, { "db": "scopus", "stream": "UAV", "query_id": "UAV-3" } ], "streams": [ "TRUCK", "UAV" ], "relevance_signals": [ "UAV_NO_CTX", "TRUCK_NO_CTX" ], "auto_exclude_reason": "EC-4-topic", "screening_status": "auto_excluded", "screened_by": "auto-v1.0.0" }, { "id": "doi:10.1016/j.trpro.2023.11.472", "doi": "10.1016/j.trpro.2023.11.472", "title": "Challenges of adopting the principles of circular economy in sparsely populated areas: Finnish case study on organizing straw supply for cellulose production", "year": 2023, "authors": [ "Ville Hinkka", "Rosa Palmgren" ], "first_author": "Ville Hinkka", "venue": "Transportation research procedia", "volume": "72", "pages": "814-820", "type": "article", "language": "en", "abstract": "This paper examines the possibilities to recycle residue material from farm production. The review is based on a case study on using straw as a raw material for cellulose. The focus is on organizing the logistics related to collecting straw from fields and transporting it to a cellulose processing plant in Finland. When developing the logistics system, the aim is to use existing machinery and infrastructure as much as possible. Farmers oversee the logistics from farm to local depot themselves with the aid of baling service providers. Two options are provided: 1) transport of bales to the cellulose production plant on HCT trucks or 2) pretreatment during which the material is extracted, cutting the transport need between the local depot and the cellulose factory by 70%. The most reasonable option depends on the pretreatment technology used and the distance between local depot and plant.", "keywords": [ "Cellulose", "Straw", "Supply chain", "Production (economics)", "Raw material", "Business", "Truck", "Waste management", "Operations management", "Engineering", "Economics", "Chemistry" ], "cited_by_openalex": 1, "cited_by_scopus": "0", "eid": "2-s2.0-85182951474", "pii": "S2352146523007706", "open_access_url": "https://doi.org/10.1016/j.trpro.2023.11.472", "sources": [ { "db": "openalex", "stream": "TRUCK", "query_id": "TRUCK-3" }, { "db": "scopus", "stream": "TRUCK", "query_id": "TRUCK-3" } ], "streams": [ "TRUCK" ], "relevance_signals": [ "TRUCK_NO_CTX" ], "auto_exclude_reason": "EC-4-topic", "screening_status": "auto_excluded", "screened_by": "auto-v1.0.0" }, { "id": "doi:10.2139/ssrn.4645274", "doi": "10.2139/ssrn.4645274", "title": "Nth-Plant Scenario for Blended Pellets of Miscanthus, Switchgrass, and Corn Stover Using Multi-Modal Transportation: Biorefineries and Depots in the Contiguous U.S", "year": 2023, "authors": [ "Tasmin Hossain", "Daniela Jones", "Edward Godfrey", "Daniel E. Saloni", "Mahmoud A. Sharara", "Damon S. Hartley" ], "first_author": "Tasmin Hossain", "venue": "SSRN Electronic Journal", "volume": null, "pages": null, "type": "preprint", "language": "en", "abstract": null, "keywords": [ "Miscanthus", "Corn stover", "Stover", "Bioenergy", "Pellets", "Environmental science", "Agronomy", "Modal", "Pulp and paper industry", "Biofuel", "Waste management", "Chemistry" ], "cited_by_openalex": 0, "cited_by_scopus": 0, "eid": null, "pii": null, "open_access_url": "https://doi.org/10.2139/ssrn.4645274", "sources": [ { "db": "openalex", "stream": "TRUCK", "query_id": "TRUCK-3" } ], "streams": [ "TRUCK" ], "relevance_signals": [ "NO_TECHNOLOGY_MATCH" ], "auto_exclude_reason": "EC-4-topic", "screening_status": "auto_excluded", "screened_by": "auto-v1.0.0" }, { "id": "doi:10.1007/978-3-031-38145-4_9", "doi": "10.1007/978-3-031-38145-4_9", "title": "Collaboration Benefits in Port Hinterland Transportation", "year": 2023, "authors": [ "Nicolas Rückert", "Kathrin Fischer", "Pauline Charlotte Reinecke", "Thomas Wrona" ], "first_author": "Nicolas Rückert", "venue": "Lecture notes in logistics", "volume": "Part F1179", "pages": "146-161", "type": "conference-paper", "language": "en", "abstract": null, "keywords": [ "Container (type theory)", "Port (circuit theory)", "Supply chain", "Truck", "Transport engineering", "Work (physics)", "Business", "Set (abstract data type)", "Cost reduction", "Computer science", "Operations research", "Engineering" ], "cited_by_openalex": 1, "cited_by_scopus": "0", "eid": "2-s2.0-85165980759", "pii": null, "open_access_url": "https://doi.org/10.1007/978-3-031-38145-4_9", "sources": [ { "db": "openalex", "stream": "TRUCK", "query_id": "TRUCK-3" }, { "db": "scopus", "stream": "TRUCK", "query_id": "TRUCK-3" } ], "streams": [ "TRUCK" ], "relevance_signals": [ "TRUCK_NO_CTX" ], "auto_exclude_reason": "EC-4-topic", "screening_status": "auto_excluded", "screened_by": "auto-v1.0.0" }, { "id": "doi:10.32628/ijsrset23103221", "doi": "10.32628/ijsrset23103221", "title": "E-CARGO BICYCLE", "year": 2023, "authors": [ "Mr. J. Gnanaraj", "M Narasimman", "R Praveen", "Samuel Edison A" ], "first_author": "Mr. J. Gnanaraj", "venue": "International Journal of Scientific Research in Science Engineering and Technology", "volume": null, "pages": null, "type": "article", "language": "en", "abstract": "The previous year's research offered a model for forecasting parcel demand and simulating parcel delivery tours utilizing cargo bicycles. This year, the concept has been upgraded to include new components that improve the efficiency and sustainability of the cargo bicycle system.One of the newly additional components is the battery, which powers the cargo bicycle's engine. This allows the cyclist to go longer distances and carry larger weights while exerting less physical effort. The motor is controlled by a throttle, which allows the rider to modify the pace of the cargo bicycle as needed.Another new addition is the solar power tracker, which uses the power of the sun to replenish the battery when the cargo bicycle is parked or in use. This eliminates the need for external charging sources while also promoting sustainability through the use of renewable energy sources.The revised research highlights the benefits of employing cargo bicycles in urban delivery systems by modeling alternative shares of cargo bicycles and motorized vans, as well as changing micro depot densities and parcel demand intensities. According to the study, the newly added components improve the cargo bicycle system's efficiency and sustainability, making it a viable alternative to motorized delivery trucks in metropolitan settings.Overall, the new project is useful for urban planners and politicians interested in supporting sustainable mobility options. It demonstrates the use of cargo bicycles, particularly when integrated with cutting- edge technologies such as batteries, motors, throttles, and solar power trackers.", "keywords": [ "Transport engineering", "Truck", "Sustainability", "Air cargo", "Metropolitan area", "Sustainable transport", "Renewable energy", "Battery (electricity)", "Automotive engineering", "Engineering", "Power (physics)" ], "cited_by_openalex": 0, "cited_by_scopus": 0, "eid": null, "pii": null, "open_access_url": "https://ijsrset.com/paper/9380.pdf", "sources": [ { "db": "openalex", "stream": "TRUCK", "query_id": "TRUCK-3" } ], "streams": [ "TRUCK" ], "relevance_signals": [ "TRUCK" ], "auto_exclude_reason": null, "screening_status": "pending_human_screening", "screened_by": "auto-v1.0.0" }, { "id": "doi:10.31284/j.iptek.2023.v27i1.2344", "doi": "10.31284/j.iptek.2023.v27i1.2344", "title": "ANALYSIS OF LOCATION AND DECISION-MAKING OF FLEET VEHICLE TYPE WITH CVRP MULTI TRIP AND GRAVITY LOCATION MODEL FOR OPERATIONAL COST EFFICIENCY (Case Study CV. XYZ, Wonoayu-Sidoarjo)", "year": 2023, "authors": [ "Nofan Hadi Ahmad", "Tri Novita Sari", "Ari Pranata Primisa Purba" ], "first_author": "Nofan Hadi Ahmad", "venue": "Jurnal IPTEK", "volume": null, "pages": null, "type": "article", "language": "en", "abstract": "Transportation has an important role in the logistics of a company, both in services and products. Increased orders in 2020 for wooden speaker products at CV. XYZ (Wonoayu-Sidoarjo) makes this company try to minimize transportation costs at their operational level. This study focuses on determining the relationship between changes in the type of fleet vehicle and the depot location on the operational costs of product delivery and the time to return to the depot in terms of adding trips. The methodology used in this study is the CVRP Multi Trip with Heterogeneous fleet vehicle and the Gravity Location Model based on the heuristic method. Saving heuristic method and nearest neighbor are heuristic methods used in computational studies to determine the order of visits to the formed sub-routes. There are 4 scenarios that are modeled to further analyze the results of these computations, namely: (1) CVRP multi-trip of old location with wings box truck, (2) CVRP multi-trip of old location with Fuso truck, (3) CVRP multi-trip of the new location with wings box truck, and (4) CVRP multi-trip of the new location with fuso truck. The results of the study concluded that there is a relationship between: (1) changes in fleet vehicle type with total traveling distance, (2) changes in depot location with total traveling distance, (3) fuel consumption rate on vehicle operating costs, (4) average vehicle speed on the time back to the depot. Scenario 4 is the best scenario in terms of traveling distance, fuel costs and delivery time. However, moving the depot center is not easy, so the scenario 2 is the most applicable condition considering that the fuso truck is available and has a higher utility than the wings box truck", "keywords": [ "Truck", "Heuristic", "Fuel efficiency", "Vehicle routing problem", "Computer science", "Automotive engineering", "Transport engineering", "Fleet management", "Simulation", "Operations research", "Engineering", "Artificial intelligence" ], "cited_by_openalex": 0, "cited_by_scopus": 0, "eid": null, "pii": null, "open_access_url": "http://ejurnal.itats.ac.id/iptek/article/download/2344/3181", "sources": [ { "db": "openalex", "stream": "TRUCK", "query_id": "TRUCK-3" } ], "streams": [ "TRUCK" ], "relevance_signals": [ "TRUCK_NO_CTX" ], "auto_exclude_reason": "EC-4-topic", "screening_status": "auto_excluded", "screened_by": "auto-v1.0.0" }, { "id": "doi:10.36805/teknikindustri.v8i2.5644", "doi": "10.36805/teknikindustri.v8i2.5644", "title": "PENENTUAN RUTE TERBAIK PENDISTRIBUSIAN DENGAN METODE ANT COLONY OPTIMIZATION (STUDI KASUS PERUSAHAAN JASA PERGUDANGAN SPAREPART JAWA BARAT)", "year": 2023, "authors": [ "Annisa Indah Pratiwi", "Sri Sustariyah", "Akda Zahrotul Wathoni", "Sobar Pazri", "Dimas Cheli Ahsanunadia" ], "first_author": "Annisa Indah Pratiwi", "venue": "Industry Xplore", "volume": null, "pages": null, "type": "article", "language": "en", "abstract": "This study aims to determine the best route for spare part product distribution. This research was conducted in one of the companies engaged in the production of spare parts, where in the company there is a Logistics department that functions to handle the product distribution process. In the process of distributing goods, costs are required. In addition, the trucks used in the process of distributing goods to each distributor go through different routes, so this research also aims to determine the best route based on the distance between locations. In order to obtain the best route, this research offers a solution using the Ant Colony Optimization (ACO) method by determining the route to be taken by the truck. The best route selection using the ACO algorithm uses the Traveling Salesman Problem (TSP) where one location point can only be made one visit. the best route results while the first cycle results are depots located in the area in the area of the best route V0-V4-V6-V2-V5-V7-V1-V8-V3-V0. That is the depot located in the Karawang area (V0) to MPP (V4), then to DAS (V6), then to KKI (V2), then to TBB (V5), then to MTN (V7), then to DYH (V1), then to MMH (V8), then to MSS (V3), and back to the depot (V0). The route covers a distance of 83 km. The route covers a distance of 255.5 km.Keywords: Ant Colony Optimization (ACO); Goods Distribution; Best Route", "keywords": [ "Ant colony optimization algorithms", "Spare part", "Truck", "Product (mathematics)", "Travelling salesman problem", "Computer science", "Operations research", "Vehicle routing problem", "Engineering", "Operations management", "Mathematics", "Routing (electronic design automation)" ], "cited_by_openalex": 0, "cited_by_scopus": 0, "eid": null, "pii": null, "open_access_url": "https://journal.ubpkarawang.ac.id/index.php/teknikindustri/article/download/5644/3930", "sources": [ { "db": "openalex", "stream": "TRUCK", "query_id": "TRUCK-3" } ], "streams": [ "TRUCK" ], "relevance_signals": [ "TRUCK_NO_CTX" ], "auto_exclude_reason": "EC-4-topic", "screening_status": "auto_excluded", "screened_by": "auto-v1.0.0" }, { "id": "doi:10.4324/9781003393290-12", "doi": "10.4324/9781003393290-12", "title": "Logistics and fulfilment strategies", "year": 2023, "authors": [ "Tony Hines" ], "first_author": "Tony Hines", "venue": null, "volume": null, "pages": null, "type": "book-chapter", "language": "en", "abstract": "This chapter examines logistics and fulfilment strategies. This involves choice of modes of transport, for example, trucks, trains, ships and planes; warehousing and storage facilities employed and locations of facilities. The first step recognizes the importance of logistics and fulfilment and the supply chain strategies necessary to satisfy customer demand. The second step evaluates the appropriateness of outsourcing in a given context, for example, use of “third party logistics” (3PL or 4PL). The third step is to achieve competitive advantage adopting digital solutions and computerized systems to gain visibility. The fourth step is to keep up to date adopting practices that can improve performance such as backhauling, cross-docking and innovations. Finally, recognize the strategic importance of storage and distribution in fulfilling the marketing promise to the customer.", "keywords": [ "Business" ], "cited_by_openalex": 0, "cited_by_scopus": 0, "eid": null, "pii": null, "open_access_url": "http://dx.doi.org/10.4324/9781003393290-12", "sources": [ { "db": "openalex", "stream": "TRUCK", "query_id": "TRUCK-3" } ], "streams": [ "TRUCK" ], "relevance_signals": [ "TRUCK_NO_CTX" ], "auto_exclude_reason": "EC-4-topic", "screening_status": "auto_excluded", "screened_by": "auto-v1.0.0" }, { "id": "doi:10.1007/978-981-99-1019-9_6", "doi": "10.1007/978-981-99-1019-9_6", "title": "Redesigning of Procurement Distribution System Network: An Application of Clustering Algorithms", "year": 2023, "authors": [ "M. R. Ganesh", "T. Radharamanan" ], "first_author": "M. R. Ganesh", "venue": "Asset analytics", "volume": null, "pages": null, "type": "conference-paper", "language": "en", "abstract": null, "keywords": [ "Procurement", "Cluster analysis", "Truck", "Centroid", "Computer science", "Distribution (mathematics)", "Process (computing)", "Work (physics)", "Supply chain", "Facility location problem", "Operations research", "Location-allocation" ], "cited_by_openalex": 0, "cited_by_scopus": 0, "eid": null, "pii": null, "open_access_url": "https://doi.org/10.1007/978-981-99-1019-9_6", "sources": [ { "db": "openalex", "stream": "TRUCK", "query_id": "TRUCK-3" } ], "streams": [ "TRUCK" ], "relevance_signals": [ "TRUCK_NO_CTX" ], "auto_exclude_reason": "EC-4-topic", "screening_status": "auto_excluded", "screened_by": "auto-v1.0.0" }, { "id": "doi:10.60644/7214", "doi": "10.60644/7214", "title": "Project Baltic Xpress", "year": 2023, "authors": [ "Davis Jekabs Macs" ], "first_author": "Davis Jekabs Macs", "venue": "Open Research (Auckland University of Technology)", "volume": null, "pages": null, "type": "dissertation", "language": "en", "abstract": "Hussar & Co. Inc. is a US-based corporation that specializes in providing niche solutions to the energy and infrastructure markets in Central Europe. Currently, the company is engaged in developing renewable energy infrastructure and providing alternative fuel supply and distribution to Central Europe. H&Co. is dedicated to supporting Europe's energy independence through niche scalable investment strategies and local partnerships. The company actively set a path to develop photovoltaic assets in Central Europe before Russian-Ukrainian war interrupted this strategy. H&Co. recognized the immediate need for stable energy supply in Ukraine and commenced efforts to supply conventional energy to markets in crisis. As a consultant, I’m involved in H&Co.’s strategy to create a tailor-made intermodal delivery solution for customers seeking fuel supply with an intermodal as its backbone for door-to-door delivery. This approach allows H&Co. to serve the Ukrainian market with volume, lower cost, and consistency. With regards to the Capstone assignment, the company outlined a plan for me to conduct a Railway versus Trucks versus Intermodal analysis for Project Baltic XPress. The goal of this assignment is to develop a viable transportation strategy that can be presented to co-investors for funding a more comprehensive transportation strategy. The ultimate goal is to increase shipments from 1,000 metric tons per month to 5,000 metric tons per month within a 12-month period and to determine how to finance this volume ramp-up. The Capstone Project involves an in-depth analysis of these steps and factors to determine the overall complexity and cost of the intermodal fuel delivery process. The findings are presented in a comprehensive report and in a pricing model, which will provide insights into both rail and truck transportation solutions.", "keywords": [ "Energy supply", "Renewable energy", "Investment (military)", "Truck", "Corporation", "Energy independence", "Maturity (psychological)", "Supply and demand", "Project management" ], "cited_by_openalex": 0, "cited_by_scopus": 0, "eid": null, "pii": null, "open_access_url": "https://doi.org/10.60644/7214", "sources": [ { "db": "openalex", "stream": "TRUCK", "query_id": "TRUCK-3" } ], "streams": [ "TRUCK" ], "relevance_signals": [ "TRUCK_NO_CTX" ], "auto_exclude_reason": "EC-4-topic", "screening_status": "auto_excluded", "screened_by": "auto-v1.0.0" }, { "id": "doi:10.1007/978-3-031-26090-2_9", "doi": "10.1007/978-3-031-26090-2_9", "title": "Container Transport Chain", "year": 2023, "authors": [ "Y. H. Venus Lun", "Kee‐hung Lai", "T.C.E. Cheng", "Dong Yang" ], "first_author": "Y. H. Venus Lun", "venue": null, "volume": null, "pages": null, "type": "book-chapter", "language": "en", "abstract": null, "keywords": [ "Container (type theory)", "Multimodal transport", "Truck", "Business", "Transport engineering", "Train", "Intermediary", "Supply chain", "Water transport", "Mode of transport", "Computer science", "Engineering" ], "cited_by_openalex": 0, "cited_by_scopus": 0, "eid": null, "pii": null, "open_access_url": "https://doi.org/10.1007/978-3-031-26090-2_9", "sources": [ { "db": "openalex", "stream": "TRUCK", "query_id": "TRUCK-3" } ], "streams": [ "TRUCK" ], "relevance_signals": [ "TRUCK_NO_CTX" ], "auto_exclude_reason": "EC-4-topic", "screening_status": "auto_excluded", "screened_by": "auto-v1.0.0" }, { "id": "doi:10.5281/zenodo.8177236", "doi": "10.5281/zenodo.8177236", "title": "Continent-scale inventory routing instances", "year": 2023, "authors": [ "Louis Bouvier", "Guillaume Dalle", "Axel Parmentier", "Thibaut Vidal" ], "first_author": "Louis Bouvier", "venue": "PolyPublie (École Polytechnique de Montréal)", "volume": null, "pages": null, "type": "other", "language": "en", "abstract": "This dataset of inventory routing instances is a fruit of our partnership between Renault Group and the CERMICS laboratory at Ecole des Ponts. Those instances are continent-scale with hundreds of customers, 21 days horizon, and 15 depots on average. Routes can last several days (continuous-time), and 30 types of commodities are involved, leading to bin packing problems when filling trucks. In our paper \"Solving a Continent-Scale Inventory Routing Problem at Renault\" we introduce a new large neighborhood search to solve those instances. We hope that sharing them publicly will motivate research on real-world and large-scale inventory routing. Environmental and economical impacts at stake are substantial.", "keywords": [ "Scale (ratio)", "Computer science", "Routing (electronic design automation)", "Geography", "Cartography", "Computer network" ], "cited_by_openalex": 0, "cited_by_scopus": 0, "eid": null, "pii": null, "open_access_url": "https://doi.org/10.5281/zenodo.8177236", "sources": [ { "db": "openalex", "stream": "TRUCK", "query_id": "TRUCK-3" } ], "streams": [ "TRUCK" ], "relevance_signals": [ "TRUCK_NO_CTX" ], "auto_exclude_reason": "EC-4-topic", "screening_status": "auto_excluded", "screened_by": "auto-v1.0.0" }, { "id": "doi:10.5281/zenodo.8177237", "doi": "10.5281/zenodo.8177237", "title": "Continent-scale inventory routing instances", "year": 2023, "authors": [ "Louis Bouvier", "Guillaume Dalle", "Axel Parmentier", "Thibaut Vidal" ], "first_author": "Louis Bouvier", "venue": "Zenodo (CERN European Organization for Nuclear Research)", "volume": null, "pages": null, "type": "dataset", "language": "en", "abstract": "This dataset of inventory routing instances is a fruit of our partnership between Renault Group and the CERMICS laboratory at Ecole des Ponts. Those instances are continent-scale with hundreds of customers, 21 days horizon, and 15 depots on average. Routes can last several days (continuous-time), and 30 types of commodities are involved, leading to bin packing problems when filling trucks. In our paper \"Solving a Continent-Scale Inventory Routing Problem at Renault\" we introduce a new large neighborhood search to solve those instances. We hope that sharing them publicly will motivate research on real-world and large-scale inventory routing. Environmental and economical impacts at stake are substantial.", "keywords": [ "Scale (ratio)", "Computer science", "Routing (electronic design automation)", "Geography", "Cartography", "Computer network" ], "cited_by_openalex": 0, "cited_by_scopus": 0, "eid": null, "pii": null, "open_access_url": "https://zenodo.org/record/8177237", "sources": [ { "db": "openalex", "stream": "TRUCK", "query_id": "TRUCK-3" } ], "streams": [ "TRUCK" ], "relevance_signals": [ "TRUCK_NO_CTX" ], "auto_exclude_reason": "EC-4-topic", "screening_status": "auto_excluded", "screened_by": "auto-v1.0.0" }, { "id": "doi:10.5281/zenodo.8015931", "doi": "10.5281/zenodo.8015931", "title": "Analisis Hambatan Proses Lift Off Kontainer dari Kapal ke Truk Trailer Pada PT Samudera Sriwijaya Logistik di Palembang", "year": 2023, "authors": [ "Rizka Fadhilla" ], "first_author": "Rizka Fadhilla", "venue": "Zenodo (CERN European Organization for Nuclear Research)", "volume": null, "pages": null, "type": "article", "language": "en", "abstract": "PT Samudera Sriwijaya Logistik is a subsidiary of PT Samudera Indonesia Tbk which is engaged in container loading and unloading services. Lift On or Lift Off is carried out at the container depot and at the shipyard or port. Lift On is a ship loading activity that raises containers from trailer trucks to ships and Lift Off is a ship unloading activity that lowers containers from ships to trailer trucks. trailers. Therefore the authors conducted interviews with operational parties to find out what obstacles occurred during the lift off process. Based on the results of the author's observations, the obstacles that occur when the lift off container process is caused by a lack of maintenance on the wirerope. This wirerope is a steel rope that is inside the wiredrum forming a circle and can make it easier for the wirerope to go in and out with the wirerope being neatly rolled up. There are problems related to this wirerope because there are wirerope that is broken, rusty, wirerope is not maintained, SOP is not working properly, officers forget to check wirerope, loading and unloading equipment data documents have errors and there is a load that exceeds capacity. These problems will be analyzed using fishbone diagrams or cause effect diagrams.", "keywords": [ "Trailer", "Engineering", "Automotive engineering" ], "cited_by_openalex": 0, "cited_by_scopus": 0, "eid": null, "pii": null, "open_access_url": "https://zenodo.org/record/8015931", "sources": [ { "db": "openalex", "stream": "TRUCK", "query_id": "TRUCK-3" } ], "streams": [ "TRUCK" ], "relevance_signals": [ "TRUCK_NO_CTX" ], "auto_exclude_reason": "EC-4-topic", "screening_status": "auto_excluded", "screened_by": "auto-v1.0.0" }, { "id": "doi:10.1353/ndq.2023.a915802", "doi": "10.1353/ndq.2023.a915802", "title": "Paula Drive Notebook", "year": 2023, "authors": [ "Scott Mcdaniel" ], "first_author": "Scott Mcdaniel", "venue": "The North Dakota quarterly", "volume": null, "pages": null, "type": "article", "language": "en", "abstract": "Paula Drive Notebook Scott Mcdaniel (bio) Before Robin Nix stole our woodsand dozed them into a self-namedneighborhood of new houses, home was my white spitz, Poppy, bringingbox turtles from the creek. Basketball games and basketball games, all daybasketball games. Summers of one-on-oneand three-on-three, horse and around the world.Sometimes the snow cone truck would stopand give freebees for sinking a hard shot. Door-to-door box turtle sales. Keith's older sister walking past her windowin a white bra. A glimpse never seen again. My first ass-kicking, when I told Blaketo stop kicking the neighbor's dog. Brandon's house, hidden in the treesacross the street. Dimly lit. Animals,exotic, dead, and without bodies,lined the wood-paneled walls.Rumor was Brandon's dad paid to shoot themat a ranch in Texas. While they weretied to trees. Dad made me pass my pacifierinto Nix's utility trench. It wastime to grow up, he said. I still chew on things. [End Page 146] Scott Mcdaniel scott mcdaniel is a poet living in and writing about the modern American South. He has been nominated for both a Pushcart and Best of the Net award and has been published in numerous journals. Scott is finishing his first collection of poetry. Copyright © 2023 University of North Dakota", "keywords": [ "White (mutation)", "Art history", "Yard", "Art", "Basketball", "Shot (pellet)", "Sister", "Visual arts", "Archaeology", "History", "Law" ], "cited_by_openalex": 0, "cited_by_scopus": 0, "eid": null, "pii": null, "open_access_url": "http://dx.doi.org/10.1353/ndq.2023.a915802", "sources": [ { "db": "openalex", "stream": "TRUCK", "query_id": "TRUCK-3" } ], "streams": [ "TRUCK" ], "relevance_signals": [ "TRUCK_NO_CTX" ], "auto_exclude_reason": "EC-4-topic", "screening_status": "auto_excluded", "screened_by": "auto-v1.0.0" }, { "id": "doi:10.2139/ssrn.4312992", "doi": "10.2139/ssrn.4312992", "title": "Split Delivery Application in Vehicle Routing Problem with Drones", "year": 2023, "authors": [ "Yiliang Yuan" ], "first_author": "Yiliang Yuan", "venue": "SSRN Electronic Journal", "volume": null, "pages": null, "type": "preprint", "language": "en", "abstract": null, "keywords": [ "Drone", "Vehicle routing problem", "Computer science", "Routing (electronic design automation)", "Computer network", "Biology" ], "cited_by_openalex": 0, "cited_by_scopus": 0, "eid": null, "pii": null, "open_access_url": "https://doi.org/10.2139/ssrn.4312992", "sources": [ { "db": "openalex", "stream": "TRUCK", "query_id": "TRUCK-3" }, { "db": "openalex", "stream": "UAV", "query_id": "UAV-1" }, { "db": "openalex", "stream": "UAV", "query_id": "UAV-2" } ], "streams": [ "TRUCK", "UAV" ], "relevance_signals": [ "UAV_NO_CTX" ], "auto_exclude_reason": "EC-4-topic", "screening_status": "auto_excluded", "screened_by": "auto-v1.0.0" }, { "id": "doi:10.5281/zenodo.8177270", "doi": "10.5281/zenodo.8177270", "title": "Continent-scale inventory routing solutions", "year": 2023, "authors": [ "Louis Bouvier", "Guillaume Dalle", "Axel Parmentier", "Thibaut Vidal" ], "first_author": "Louis Bouvier", "venue": "PolyPublie (École Polytechnique de Montréal)", "volume": null, "pages": null, "type": "other", "language": "en", "abstract": "This dataset of inventory routing solutions is a fruit of our partnership between Renault Group and the CERMICS laboratory at Ecole des Ponts. The related instances (also publicly available) are continent-scale with hundreds of customers, 21 days horizon, and 15 depots on average. Routes can last several days (continuous-time), and 30 types of commodities are involved, leading to bin packing problems when filling trucks. In our paper \"Solving a Continent-Scale Inventory Routing Problem at Renault\" we introduce a new large neighborhood search to solve those instances. This dataset contains the solutions provided both by our algorithm and by a benchmark we implement, as shown in the computational experiments section of our paper. We hope that sharing them publicly will motivate research on real-world and large-scale inventory routing. Environmental and economical impacts at stake are substantial.", "keywords": [ "Scale (ratio)", "Routing (electronic design automation)", "Environmental science", "Geology", "Computer science", "Geography", "Cartography", "Computer network" ], "cited_by_openalex": 0, "cited_by_scopus": 0, "eid": null, "pii": null, "open_access_url": "https://doi.org/10.5281/zenodo.8177270", "sources": [ { "db": "openalex", "stream": "TRUCK", "query_id": "TRUCK-3" } ], "streams": [ "TRUCK" ], "relevance_signals": [ "TRUCK_NO_CTX" ], "auto_exclude_reason": "EC-4-topic", "screening_status": "auto_excluded", "screened_by": "auto-v1.0.0" }, { "id": "doi:10.5281/zenodo.8177271", "doi": "10.5281/zenodo.8177271", "title": "Continent-scale inventory routing solutions", "year": 2023, "authors": [ "Louis Bouvier", "Guillaume Dalle", "Axel Parmentier", "Thibaut Vidal" ], "first_author": "Louis Bouvier", "venue": "Zenodo (CERN European Organization for Nuclear Research)", "volume": null, "pages": null, "type": "dataset", "language": "en", "abstract": "This dataset of inventory routing solutions is a fruit of our partnership between Renault Group and the CERMICS laboratory at Ecole des Ponts. The related instances (also publicly available) are continent-scale with hundreds of customers, 21 days horizon, and 15 depots on average. Routes can last several days (continuous-time), and 30 types of commodities are involved, leading to bin packing problems when filling trucks. In our paper \"Solving a Continent-Scale Inventory Routing Problem at Renault\" we introduce a new large neighborhood search to solve those instances. This dataset contains the solutions provided both by our algorithm and by a benchmark we implement, as shown in the computational experiments section of our paper. We hope that sharing them publicly will motivate research on real-world and large-scale inventory routing. Environmental and economical impacts at stake are substantial.", "keywords": [ "Scale (ratio)", "Routing (electronic design automation)", "Computer science", "Environmental science", "Geography", "Cartography", "Computer network" ], "cited_by_openalex": 0, "cited_by_scopus": 0, "eid": null, "pii": null, "open_access_url": "https://zenodo.org/record/8177271", "sources": [ { "db": "openalex", "stream": "TRUCK", "query_id": "TRUCK-3" } ], "streams": [ "TRUCK" ], "relevance_signals": [ "TRUCK_NO_CTX" ], "auto_exclude_reason": "EC-4-topic", "screening_status": "auto_excluded", "screened_by": "auto-v1.0.0" }, { "id": "doi:10.1007/978-3-319-65596-3_21", "doi": "10.1007/978-3-319-65596-3_21", "title": "Logistics", "year": 2023, "authors": [ "Stefan Edelkamp" ], "first_author": "Stefan Edelkamp", "venue": null, "volume": null, "pages": null, "type": "book-chapter", "language": "en", "abstract": null, "keywords": [ "Computer science", "Reachability", "Travelling salesman problem", "Scheduling (production processes)", "Solver", "Truck", "Operations research", "Job shop scheduling", "Multi-agent system", "Process (computing)", "Service (business)", "Quality of service" ], "cited_by_openalex": 0, "cited_by_scopus": 0, "eid": null, "pii": null, "open_access_url": "https://doi.org/10.1007/978-3-319-65596-3_21", "sources": [ { "db": "openalex", "stream": "TRUCK", "query_id": "TRUCK-3" } ], "streams": [ "TRUCK" ], "relevance_signals": [ "TRUCK_NO_CTX" ], "auto_exclude_reason": "EC-4-topic", "screening_status": "auto_excluded", "screened_by": "auto-v1.0.0" }, { "id": "doi:10.5281/zenodo.8289900", "doi": "10.5281/zenodo.8289900", "title": "Container Logistics Object-centric Event Log", "year": 2023, "authors": [ "Benedikt Knopp", "Nina Graves" ], "first_author": "Benedikt Knopp", "venue": "Zenodo (CERN European Organization for Nuclear Research)", "volume": null, "pages": null, "type": "dataset", "language": "en", "abstract": "General Description Our company sells goods overseas. After receiving an order, the shipment of goods is scheduled. According to this schedule, the goods are picked up from the local production site and brought to a terminal where a logistics service provider receives and ships them. This is an artificial event log according to the OCEL 2.0 Standard simulated using CPN-Tools. Both the CPN and the SQLite can be downloaded. Process Overview From a customer order perspective, the process begins when the order is registered at our company (register customer order). After registration, a transport document is created in which details of the further process are recorded (create transport document). Using this information, the logistics service provider is contacted to coordinate the transport of the ordered goods to the seaport. Twice a week, that provider sends a vehicle to a terminal, with a limited capacity for containers of ordered goods to be transported from the terminal to a seaport. For our company, available capacties vary from vehicle to vehicle, as we are not the only company booking spots. Once the logistics service provider receives our transport documents, they book capacities according to availability and container prioritizations in the upcoming weeks (book vehicles). Once the dates for transporting the goods to the terminal are set, our company contacts a container depot to reserve the required containers (order empty containers). When a container’s vehicle departure approaches, the goods are prepared, packed and shipped to the terminal. For this purpose, a truck is sent to the container depot (pick up empty container). Meanwhile, the ordered goods to be shipped are packed into handling units at the production site. After loading the handling units (load truck), the truck drives the full container to the terminal (drive to terminal). At the terminal, the container is picked up by a free forklift and weighed (weigh). Unless the vehicle departure is imminent, the container is placed in the storage location at the terminal (place in stock). Finally, it is moved to the vehicle (bring to loading bay, load to vehicle) which departs at a fixed time (depart). Despite careful planning, containers sometimes miss a vehicle’s departure. In this case, the container is rescheduled to the next possible vehicle (reschedule container) and kept near the loading ramp until then. Further information can be found at: https://www.ocel-standard.org/beta/event-logs/simulations/logistics/ General Properties An overview of log properties is given below. Property Value Event Types 14 Object Types 7 Events 35761 Objects 14013 Control-Flow Behavior The behavior of the log is described by a respective object-centric Petri net. Also, individual object types exhibit behavior that can be described by simpler Petri nets. See below. Container Transport Documents Customer Order Truck Forklift Vehicle Handling Unit Object Relationships During the process, object-to-object relations can emerge at activity occurrences as follows. Activity Source Object Type Target Object Type Qualifier Create Transport Document Customer Order Transport Document TD for CO Book Vehicle Transport Document Vehicle Regular VH for TD Book Vehicle Transport Document Vehicle High-Prio VH for TD Order Empty Containers Transport Document Container CR for TD Pick Empty Container Truck Container TR loads CR Load Truck Container Handling Unit CR contains HU Reschedule Container Transport Document Vehicle Substitute VH for TD Simulation Model The CPN used to create this event log can also be downloaded.To obtain simulated data, extract the linked ZIP file and play out the CPN therein, e.g., by using CPN Tools. The play-out produces CSV files according to the schema of OCEL2.0. This Python notebook can be used to convert these files to an SQLite dump. For a technical documentation of the simulation model, please open the attached CPN with CPN Tools and see the annotations therein. Acknowledgements Funded under the Excellence Strategy of the Federal Government and the Länder. Funded by the Deutsche Forschungsgemeinschaft (DFG, German Research Foundation) under Germany's Excellence Strategy - EXC-2023 Internet of Production - 390621612. We also thank the Alexander von Humboldt (AvH) Stiftung for supporting our research.", "keywords": [ "Container (type theory)", "Event (particle physics)", "Object (grammar)", "Computer science", "Database", "Engineering", "Artificial intelligence" ], "cited_by_openalex": 0, "cited_by_scopus": 0, "eid": null, "pii": null, "open_access_url": "https://zenodo.org/record/8289900", "sources": [ { "db": "openalex", "stream": "TRUCK", "query_id": "TRUCK-3" } ], "streams": [ "TRUCK" ], "relevance_signals": [ "TRUCK_NO_CTX" ], "auto_exclude_reason": "EC-4-topic", "screening_status": "auto_excluded", "screened_by": "auto-v1.0.0" }, { "id": "doi:10.5281/zenodo.7549449", "doi": "10.5281/zenodo.7549449", "title": "Proposed Improvement of Pertalite Fuel Outbound Logistics Performance to Achieve Pertamina Patra Niaga MS2 Compliance (A Case Study of Bandung City)", "year": 2023, "authors": [ "Nastiti Liring Bestari", "Gatot Yudoko" ], "first_author": "Nastiti Liring Bestari", "venue": "Zenodo (CERN European Organization for Nuclear Research)", "volume": null, "pages": null, "type": "article", "language": "en", "abstract": "ABSTRACT: PT. Pertamina Patra Niaga was founded in 2004, is a sub-holding of PT. Pertamina which handles Pertamina's downstream oil and gas processes, especially fuel trading and handling, as well as fleet and depot management. This study took Fuel Terminal Bandung Group - Ujung Berung as a research location which encounter issue related to the not achieved of the MS2 Compliance target in delivery time delay related to the external logistics performance. This research focuses on the delivery of Pertalite fuel in the city of Bandung in the third quarter of 2022. This study aims to identify the factor that affect the value of MS2 Compliance in Fuel Terminal Bandung Group-Ujung Berung and initiate the improvement initiatives to improve outbound logistic performance for Fuel Terminal Bandung Group - Ujung Berung. The conceptual framework used in this research describes the supply chain design and focuses on outbound logistics in terms of moving the final product to the retailers to achieve responsive supply chain strategy is improving the outbound logistic performance. The equipment that used to carry the delivery are tank trucks. The method used in this study uses a quantitative approach with heuristic methods using a sweep algorithm. Quantitative data were obtained from company data, observations at the company and interviews with departments that related to the company's logistics. Secondary data analysis using literature and company data. The analysis was carried out by finding the root of the problem with a fishbone diagram and analysing quantitative data with a sweep algorithm. The analysis is carried out by taking days that have low MS2 Compliance in Quarter III 2022 in one week, where one day has three delivery batch. From the results of the analysis, it was found that there were four main causes, namely method, environment, human, and equipment factors. Then examine by the sweep algorithm analysis which results in more effective route selection and maximizing the use of tank trucks by calculating the travel time for each shipment by considering the allowance time for each shipment.", "keywords": [ "Compliance (psychology)", "Business", "Operations management", "Computer science", "Engineering", "Psychology" ], "cited_by_openalex": 0, "cited_by_scopus": 0, "eid": null, "pii": null, "open_access_url": "https://zenodo.org/record/7549449", "sources": [ { "db": "openalex", "stream": "TRUCK", "query_id": "TRUCK-3" } ], "streams": [ "TRUCK" ], "relevance_signals": [ "TRUCK_NO_CTX" ], "auto_exclude_reason": "EC-4-topic", "screening_status": "auto_excluded", "screened_by": "auto-v1.0.0" }, { "id": "doi:10.47191/ijcsrr/v6-i1-43", "doi": "10.47191/ijcsrr/v6-i1-43", "title": "Proposed Improvement of Pertalite Fuel Outbound Logistics Performance to Achieve Pertamina Patra Niaga MS2 Compliance (A Case Study of Bandung City)", "year": 2023, "authors": [ "Nastiti Liring Bestari", "Gatot Yudoko" ], "first_author": "Nastiti Liring Bestari", "venue": "International Journal of Current Science Research and Review", "volume": null, "pages": null, "type": "article", "language": "en", "abstract": "PT. Pertamina Patra Niaga was founded in 2004, is a sub-holding of PT. Pertamina which handles Pertamina’s downstream oil and gas processes, especially fuel trading and handling, as well as fleet and depot management. This study took Fuel Terminal Bandung Group – Ujung Berung as a research location which encounter issue related to the not achieved of the MS2 Compliance target in delivery time delay related to the external logistics performance. This research focuses on the delivery of Pertalite fuel in the city of Bandung in the third quarter of 2022. This study aims to identify the factor that affect the value of MS2 Compliance in Fuel Terminal Bandung Group-Ujung Berung and initiate the improvement initiatives to improve outbound logistic performance for Fuel Terminal Bandung Group – Ujung Berung. The conceptual framework used in this research describes the supply chain design and focuses on outbound logistics in terms of moving the final product to the retailers to achieve responsive supply chain strategy is improving the outbound logistic performance. The equipment that used to carry the delivery are tank trucks. The method used in this study uses a quantitative approach with heuristic methods using a sweep algorithm. Quantitative data were obtained from company data, observations at the company and interviews with departments that related to the company’s logistics. Secondary data analysis using literature and company data. The analysis was carried out by finding the root of the problem with a fishbone diagram and analysing quantitative data with a sweep algorithm. The analysis is carried out by taking days that have low MS2 Compliance in Quarter III 2022 in one week, where one day has three delivery batch. From the results of the analysis, it was found that there were four main causes, namely method, environment, human, and equipment factors. Then examine by the sweep algorithm analysis which results in more effective route selection and maximizing the use of tank trucks by calculating the travel time for each shipment by considering the allowance time for each shipment.", "keywords": [ "Supply chain", "Business", "Supply chain management", "Operations management", "Operations research", "Marketing", "Engineering" ], "cited_by_openalex": 0, "cited_by_scopus": 0, "eid": null, "pii": null, "open_access_url": "https://ijcsrr.org/wp-content/uploads/2023/01/43-19-2023.pdf", "sources": [ { "db": "openalex", "stream": "TRUCK", "query_id": "TRUCK-3" } ], "streams": [ "TRUCK" ], "relevance_signals": [ "TRUCK_NO_CTX" ], "auto_exclude_reason": "EC-4-topic", "screening_status": "auto_excluded", "screened_by": "auto-v1.0.0" }, { "id": "doi:10.24252/kah.v11i2a4", "doi": "10.24252/kah.v11i2a4", "title": "The Literacy Development: Unveiling the Role of Balai Poestaka: A Historical Study", "year": 2023, "authors": [ "Nurmalina", "Romli SA", "Endang Rochmiatun" ], "first_author": "Nurmalina", "venue": "Khizanah al-Hikmah Jurnal Ilmu Perpustakaan Informasi dan Kearsipan", "volume": null, "pages": null, "type": "article", "language": "en", "abstract": "The existence of Balai Poestaka was aimed to facilitate the Dutch East Indies Government in monitoring the circulation of \"appropriate reading materials for the people.\" Therefore, on September 14, 1908, the Commissie voor de Inlandsche School en Volkslectuur (Commission for Native Schools and Public Reading), which eventually changed its name to Balai Poestaka was formed. However, the efforts made by Balai Poestaka had at least some impact on the development of literacy in various communities, including the Palembang Residency. This research aims to understand the initiatives undertaken by Balai Poestaka in advancing literacy in the Palembang Residency community. The study employs historical research methods, including heuristics, verification, interpretation, and historiography. The study reveals that at least three efforts were made by Balai Poestaka to enhance community literacy. First, the establishment of Taman Poestaka, a library dedicated to the natives, opened in native schools under the supervision of teachers. Second, the initiation of Depot van Leermiddelen and small trucks serving as mobile bookstores reached villages in Java, Sumatra, Sulawesi, and Kalimantan. Third, at least three times a year, Balai Poestaka distributed 100,000 catalogs, each consisting of 32 pages, to promote its published books. Additionally, Balai Poestaka sold its books at affordable prices to make them accessible to the purchasing power of the community.", "keywords": [ "Literacy", "Geography", "Sociology", "Pedagogy" ], "cited_by_openalex": 0, "cited_by_scopus": 0, "eid": null, "pii": null, "open_access_url": "https://journal.uin-alauddin.ac.id/index.php/khizanah-al-hikmah/article/download/40786/18497", "sources": [ { "db": "openalex", "stream": "TRUCK", "query_id": "TRUCK-3" } ], "streams": [ "TRUCK" ], "relevance_signals": [ "TRUCK_NO_CTX" ], "auto_exclude_reason": "EC-4-topic", "screening_status": "auto_excluded", "screened_by": "auto-v1.0.0" }, { "id": "doi:10.1149/ma2023-02271424mtgabs", "doi": "10.1149/ma2023-02271424mtgabs", "title": "Towards Electrobiofuels: Economics and Environmental Impacts", "year": 2023, "authors": [ "Christopher M. Saffron" ], "first_author": "Christopher M. Saffron", "venue": "ECS Meeting Abstracts", "volume": null, "pages": null, "type": "conference-abstract", "language": "en", "abstract": "Our changing climate necessitates a transition to biomass-based hydrocarbon fuels to power aviation, shipping, and long-haul trucks that service essential supply chains to deliver food, textiles, and other consumer goods including electronic devices. To accomplish this transition, renewable energy systems are needed that efficiently deconstruct biomass and superimpose non-carbon emitting electrical energy with bioenergy to increase output energy in liquid fuels. Fast pyrolysis and electrocatalytic hydrogenation (py-ECH) is a technology sequence that first converts biomass into a liquid, known as bio-oil, which is then electrocatalytically hydrogenated to stabilize its properties. Products formed after py-ECH include linear and branched polyols, tetrahydrofurans, and alkyl cyclohexanols. Evidence of lignin oligomer cleavage has also been observed, as has the subsequent appearance of monomeric cyclohexanols. Building on these encouraging results, the commercialization potential of py-ECH was determined by economic analysis and life cycle assessment. These analyses co-locate ECH after pyrolysis at decentralized biomass upgrading depots, with the aim of stabilizing pyrolysis bio-oil for subsequent transport to centralized hydroprocessing refineries. The results of these analyses suggest that electrocatalytic hydrogenation is the keystone technology for coupling non-carbon emitting electrical energy with biomass carbon to generate a greater amount of liquid fuel than otherwise possible. A pathway to liquid fuel less than $3 per gallon of hydrocarbon equivalent fuel can be established, especially if renewable electricity is provided at low cost. Finally, “electrobiofuels” can be made with negative net carbon emissions with well-managed agriculture, biochar soil amendment, and when renewable electricity powers ECH.", "keywords": [ "Economics", "Environmental science", "Natural resource economics" ], "cited_by_openalex": 0, "cited_by_scopus": 0, "eid": null, "pii": null, "open_access_url": "https://doi.org/10.1149/ma2023-02271424mtgabs", "sources": [ { "db": "openalex", "stream": "TRUCK", "query_id": "TRUCK-3" } ], "streams": [ "TRUCK" ], "relevance_signals": [ "TRUCK_NO_CTX" ], "auto_exclude_reason": "EC-4-topic", "screening_status": "auto_excluded", "screened_by": "auto-v1.0.0" }, { "id": "doi:10.5149/northcarolina/9781469671239.003.0029", "doi": "10.5149/northcarolina/9781469671239.003.0029", "title": "Chris and Molly", "year": 2023, "authors": [ "Michelle Fishburne" ], "first_author": "Michelle Fishburne", "venue": null, "volume": null, "pages": null, "type": "book-chapter", "language": "en", "abstract": "If we chose RV living, we would lose less money than if I got a temporary job somewhere and stayed in the big house. In April, airline passenger loads dropped to 5 percent of what they were the year prior. You can’t run any business that way, so the airlines started canceling flights and parking planes. I am on the junior side of the seniority list, so my wife and I knew we had to set ourselves up financially to ride out what was looking to be a long furlough. We had a big house in Texas, 3,900 square feet with a pool in the backyard and a huge three-car garage. That garage could fit everything, even the jet ski we won on Let’s Make a Deal, but that’s another story. We prepared for the worst and started kicking around some ideas. One option was to stay in the house we were in while I got a temporary job somewhere, like Lowe’s or Home Depot. Pilots don’t have appreciable skills that can easily translate into another field, so an entry-level job was most likely. Another option was that we could sell the house and buy a smaller house to reduce the mortgage payment a bit. The third option was to downsize even further, into an RV. And I’m like, all right, well, we’re going to lose a lot of cash one way or another. In late April and early May, we were running the numbers, and it was clear that if we chose RV living, we would lose less money than if I got a temporary job somewhere and stayed in the big house. And that was RV living with no job, like no income at all. I was thinking, I will have no other time in my life where I will be home with my kids for more than a week or two at a time. With the airline, I’m usually gone half the month. And looking at the ages of our kids—three, five, and seven—that was really important to me. We were a little familiar with living in an RV because we’d rented an RV in February and had absolutely loved it. We spent ten days visiting national and state parks in Nevada, Utah, and Arizona. It was a lot of fun. We’d actually spent a few years thinking and dreaming about that trip before we did it. We had done our research and felt that RVing could be something we’d really enjoy. We take a lot of trips as an airline family and have a great time trying out new adventures, so the RV life seemed like a good fit. And that trip was just so much fun that it put something in our minds and our hearts like, We could live in an RV. When May rolled around, we hadn’t made a decision yet, but we knew we were tired of being cooped up in our house. We had to leave. So we went to visit some of our friends in Florida. When we mentioned the whole RV thing, they were like, “Y’all are crazy. That sounds fun for a hot sec, but you’re not going to like it long-term. You’re going to get sick of being in such a small place with your kids and all that.” And we’re like, “No, no, no.” Near the end of May, we went to visit some friends of ours from Instagram. We hadn’t met them in person yet, but they RV full-time and we just wanted to go and ask them questions, hang out, see their RV. We asked them a bajillion questions about RV life, and they gave us a lot of good advice. The best advice they gave us was just do it, just to go for it. And, you know, the worst thing that can happen is that it doesn’t work out and you just go back to your old life. A week later, on June 1, we bought a forty-three-foot fifth-wheel toy hauler. On June 3, we listed our house. Actually, the house sold the day before it was technically listed, for asking price, even though it was at the high end of what all the realtors were saying. Now I wish I had gone higher, of course, but it’s also nice to have gotten rid of it and be done with it. It’s now May 2021 and we’ve traveled about 10,000 miles all over the United States. I’m present here with my family, taking adventures. We don’t regret selling the house and moving into a fifth wheel. You know, traveling around and doing what we’re doing, we don’t regret it at all, and we have no future date set for when we’re going to stop or go part-time with it or anything like that. We’re about to enter into a different season, with going back to work. In March, they announced they were bringing back all the pilots as soon as October. In June, I will be going back to training. We’ll be traveling in our RV, staying at campgrounds. When Chris has a flight, I’ll drop him off in our truck, he’ll go and do his trip, and then I’ll go pick him back up. When his trip is done, we can go explore. Living in the RV has created this life of adventure, and we love it. It’s like the thing where life gives you lemons. We got lemons and then we turned them into something cool and crazy and awesome.", "keywords": [ "Art" ], "cited_by_openalex": 0, "cited_by_scopus": 0, "eid": null, "pii": null, "open_access_url": "http://dx.doi.org/10.5149/northcarolina/9781469671239.003.0029", "sources": [ { "db": "openalex", "stream": "TRUCK", "query_id": "TRUCK-3" } ], "streams": [ "TRUCK" ], "relevance_signals": [ "TRUCK_NO_CTX" ], "auto_exclude_reason": "EC-4-topic", "screening_status": "auto_excluded", "screened_by": "auto-v1.0.0" }, { "id": "doi:10.14321/jstudradi.17.2.0051", "doi": "10.14321/jstudradi.17.2.0051", "title": "Karen Coulter and the Religious Roots of Radicalism in North America", "year": 2023, "authors": [ "Amanda M. Nichols" ], "first_author": "Amanda M. Nichols", "venue": "Journal for the Study of Radicalism", "volume": null, "pages": null, "type": "article", "language": "en", "abstract": "Born in 1958, Karen Coulter grew up during a period of marked social change in the United States. The Civil Rights Movement, which was already in full swing, and the second-wave feminist movement, which began in the early 1960s, influenced the social milieu of her childhood and shaped her perceptions about social justice. The publication of Rachel Carson's Silent Spring (1962) and Paul Ehrlich's The Population Bomb (1968) also inspired an increased awareness of environmental issues among the general public during the 1960s.2 Coulter's mother first introduced her to the idea that humans alter their environments, and the concomitant call to limit the human penchant for dramatic alteration of the natural world colored Coulter's childhood and early adolescence.Coulter's lifelong commitment to activism began at age 11, when she testified as part of Wild Horse Annie's children's campaign in front of the Nevada State Legislature on behalf of the Wild Free Roaming Horses and Burros Protection Act.3 It was not until several years later, however, that Coulter became deeply engaged in environmental activism. In early 1980, while she was enrolled at Reed College in Portland, Oregon, Coulter learned about a plan for the inception of the MX Missile in Nevada and Utah.4 Development of the infrastructure necessary for the missile's mobility was a central concern for anti-nuclear activists focused on the MX project. Apprehension primarily revolved around the widespread destruction of Western landscapes that was projected and would likely transpire during the construction of the rail system necessary for the missile's transportation. When she learned that this proposed project would directly impact the hills outside of Reno, Nevada, which she called home, Coulter became involved in anti-nuclear protests, participating in direct action and nonviolent civil disobedience against the MX project.Her “not in my backyard” (NIMBY)-inspired anti-nuclear activism continued into the mid 1980s, when the anti-nuclear movement began to dissipate in the United States due to the ebbing of the Cold War. Exhilarated by early successes during the MX project, which included President Ronald Reagan's abandonment of the infrastructure necessary for the mobile missile system in 1982,5 Coulter became committed to environmental protection through activism and civil disobedience, and readily turned her focus to other environmental justice concerns.After the MX project, Coulter became a campaigner for the well-known environmental organization Greenpeace and later joined the radical environmental movement Earth First! (EF!), a movement she was still active in as of 2023. In 1991, she co-founded Blue Mountains Biodiversity Project, a nonprofit environmental organization fighting to protect old-growth forests and to prevent logging in roadless areas in Oregon. Throughout her activist career, Coulter has worked to foster diversity, fighting to make movements more inclusive (especially in terms of gender and ethnicity) and to bring awareness to various forms of social and environmental injustice. More than anything else, Coulter emphasized, it is her spiritual connection to nature that has kept her engaged in activism and fighting for the protection and preservation of Earth's biodiversity and ecosystem viability.A closer examination of Coulter's life and work, I argue, illuminates two important points about the cultural milieu of her time, including and especially about the trajectory of radicalism in North America. First, Coulter's activism, much of which falls under the definition of “radical” activism, reflects changing sociopolitical trends in the United States, and provides a unique lens for viewing radicalism during this particular historical moment. Radical activism—activism that incorporates civil disobedience, sabotage, and, in some rare cases, violent tactics—has been used by numerous individuals and groups in the United States and beyond to influence social and political change. As Bron Taylor has shown, radical activism includes a “bricolage of diverse religious, political, and scientific beliefs” and may be understood as a form of dark green religion—a belief system that “considers nature to be sacred, imbued with intrinsic value, and worthy of reverent care.”6 Coulter's transition from anti-nuclear activism in the mid to late 1980s into more disparate forms of radical activism aggregated under the broad label of “the environmental movement” is representative of a widespread—and often overlooked—shift that occurred in environmental movements, and especially their most radical forms, during that time.Second, Coulter's work elucidates the complex and often overlooked connections between religion and radicalism that have shaped the contemporary North American environmental movement. By providing a detailed account of her activist engagements, I show how religious beliefs and practices informed, and in many ways helped to set the tone for, common forms of social and political activism during the Peace Movement and beyond. Moreover, Coulter's life story shows how, for her and for many other environmental activists, religious or spiritual beliefs grounded in a deep understanding of biological interdependence and affective connections to the earth influence pro-environmental attitudes and behaviors, and sometimes lead to radical forms of activism focused on protecting and preserving the health and stability of the biotic community.7Karen Coulter was born in Portland, Oregon, on 22 April 1958 to Walter and Carolyn Coulter. When she was five years old, her parents divorced and her mother, who won custody, moved them back to where her family was from, in New York. When Coulter was eight, her mother remarried and the family, which then also included four older to a on the of Reno, up in the Nevada hills was an early Coulter the social and not to her family or their up with the her with and as a who was in Coulter to detailed the vari", "keywords": [ "Political radicalism", "History", "Religious studies", "Philosophy", "Political science", "Law", "Politics" ], "cited_by_openalex": 0, "cited_by_scopus": 0, "eid": null, "pii": null, "open_access_url": "https://doi.org/10.14321/jstudradi.17.2.0051", "sources": [ { "db": "openalex", "stream": "TRUCK", "query_id": "TRUCK-3" } ], "streams": [ "TRUCK" ], "relevance_signals": [ "NO_TECHNOLOGY_MATCH" ], "auto_exclude_reason": "EC-4-topic", "screening_status": "auto_excluded", "screened_by": "auto-v1.0.0" }, { "id": "doi:10.2172/1975829", "doi": "10.2172/1975829", "title": "Drones, Delivery Robots, Driverless Cars, and Intelligent Curbs for Increasing Energy Productivity of First/Last Mile Goods Movement", "year": 2023, "authors": [ "USDOE Office of Environmental Management (EM)", "Sebastian Scherer", "USDOE Office of Energy Efficiency and Renewable Energy (EERE)", "Constantine Samaras" ], "first_author": "USDOE Office of Environmental Management (EM)", "venue": null, "volume": null, "pages": null, "type": "report", "language": "en", "abstract": "The objective of the project is to use empirical testing, life cycle assessment, and systems analysis to research and demonstrate energy improvement when using goods delivery drones, eVTOL, ground delivery robots and automated vehicles compared to a baseline network. The research will also develop proof-of-concept testing, a model, and simulation for a smart curb space as an intelligently-managed urban delivery zone demonstrating additional improvement in energy productivity.", "keywords": [ "Mile", "Drone", "Productivity", "Movement (music)", "Automotive engineering", "Robot", "Aeronautics", "Last mile (transportation)", "Engineering", "Transport engineering", "Business", "Computer science" ], "cited_by_openalex": 0, "cited_by_scopus": 0, "eid": null, "pii": null, "open_access_url": "https://www.osti.gov/servlets/purl/1975829", "sources": [ { "db": "openalex", "stream": "UAV", "query_id": "UAV-1" } ], "streams": [ "UAV" ], "relevance_signals": [ "UAV" ], "auto_exclude_reason": null, "screening_status": "pending_human_screening", "screened_by": "auto-v1.0.0" }, { "id": "doi:10.1109/mass58611.2023.00089", "doi": "10.1109/mass58611.2023.00089", "title": "Exploring Mixed-Grid Environments for Drone-Based Last-Mile Logistics Optimization", "year": 2023, "authors": [ "Francesco Betti Sorbelli", "Federico Corò", "Cristina Maria Pinotti", "Anil M. Shende" ], "first_author": "Francesco Betti Sorbelli", "venue": "Proceedings 2023 IEEE 20th International Conference on Mobile Ad Hoc and Smart Systems Mass 2023", "volume": null, "pages": "634-639", "type": "conference-paper", "language": "en", "abstract": "In recent years, drone-based delivery systems have gained significant attention for last-mile logistics in various domains. This study focuses on optimizing drone deliveries in mixed-grid environments, which combine urban and rural areas. The objective is to minimize the sum of distances between the delivery locations and the drone’s depot. By selecting the optimal depot placement, we aim to improve factors such as expected delivery time, energy consumption, and environmental impacts. To address this optimization problem, we conducted a comprehensive comparison of several state-of-the-art algorithms specifically designed for computing the drone placement in mixed-grid environments. Our evaluation utilized synthetic and quasi-real data and two distinct scenarios were considered: the full-grid scenario, and the partial-grid scenario. Through empirical analyses, we demonstrate the effectiveness of the proposed algorithms and provide valuable insights into their trade-offs in terms of performance and time complexity.", "keywords": [ "Drone", "Mile", "Last mile (transportation)", "Grid", "Computer science", "Geography" ], "cited_by_openalex": 0, "cited_by_scopus": "0", "eid": "2-s2.0-85178522498", "pii": null, "open_access_url": "http://dx.doi.org/10.1109/mass58611.2023.00089", "sources": [ { "db": "openalex", "stream": "UAV", "query_id": "UAV-1" }, { "db": "openalex", "stream": "UAV", "query_id": "UAV-3" }, { "db": "scopus", "stream": "UAV", "query_id": "UAV-1" }, { "db": "scopus", "stream": "UAV", "query_id": "UAV-3" } ], "streams": [ "UAV" ], "relevance_signals": [ "UAV" ], "auto_exclude_reason": null, "screening_status": "pending_human_screening", "screened_by": "auto-v1.0.0" }, { "id": "doi:10.26258/heal.hua.6822", "doi": "10.26258/heal.hua.6822", "title": "Τεχνοοικονομική ανάλυση της χρήσης των drones ως εργαλείο στο last-mile delivery", "year": 2023, "authors": [ "Ελευθερία Σπαή", "Eleftheria Spai" ], "first_author": "Ελευθερία Σπαή", "venue": "Harokopio University", "volume": null, "pages": null, "type": "other", "language": "el", "abstract": "Μια από τις επιπτώσεις της πανδημίας COVID-19 ήταν ότι οι εξ αποστάσεως μεταφορές βίωσαν μια πρωτόγνωρη άνθιση και ζήτηση. Βέβαια αυτό είχε ως αποτέλεσμα οι εταιρίες μεταφορών να μη μπορούν να αντεπεξέλθουν στις ανάγκες των πελατών, με κύριο πρόβλημα την έλλειψη στόλου οχημάτων. Ο χρόνος είναι ένας σημαντικός παράγοντας που μπορεί να χρησιμοποιηθεί για την επίτευξη ανταγωνιστικού πλεονεκτήματος, ειδικά όσον αφορά το last-mile delivery. Με την τεχνολογία να βηματίζει σε γοργούς ρυθμούς, όλο και περισσότερα άτομα εξερευνούν τις δυνατότητες των drones. Ήδη η χρήση τους από τη γεωργία μέχρι και την επαγγελματική φωτογράφηση, δείχνει την απήχηση και την ευκολία που προσφέρουν στον κόσμο. Εκτός αυτού, στο εξωτερικό έχει ξεκινήσει η μεταφορά δεμάτων με drones σε μικρή κλίμακα, ενώ και στην Ελλάδα γίνονται δοκιμές σε πειραματικό στάδιο. Επομένως, οι επιχειρήσεις αναζητούν τρόπους με τους οποίους μπορούν να μειώσουν το κόστος κατά την παράδοση αγαθών και επίσης να διασφαλίσουν την ικανοποίηση των πελατών τους. Με βάση αυτό μπορεί να δοθεί μια νέα λύση στο πρόβλημα του last-mile delivery, μέσω της χρήσης drones για δέματα μικρού μεγέθους ως τρόπος αποσυμφόρησης ενός κομματιού του φόρτου εργασιών των ταχυμεταφορέων και επίσπευσης της διαδικασίας αποστολής δεμάτων σε πελάτες που μένουν κοντά σε κέντρα αποστολών. Σε αυτό το πλαίσιο, με βάση την πρόβλεψη ζήτησης για το πόσες εταιρίες θα μπουν στη διαδικασία να εντάξουν αυτή τη νέα υπηρεσία, θα γίνει μια τεχνοοικονομική ανάλυση, με υπόβαθρο μια ήδη υπάρχουσα ελληνική επιχείρηση ώστε να δούμε αν θα είναι συμφέρουσα μια τέτοια επένδυση. Αρχικά θα περιγραφούν οι όροι drones και last-mile delivery. Στη συνέχεια θα γίνει μια σύντομη αναφορά στην ιστορική εξέλιξη της χρήσης των drones και στις δυνατότητες που μπορούν να παρέχουν ως εργαλείο στο last-mile delivery. Έπειτα θα ακολουθήσει η τεχνοοικονομική ανάλυση για την εταιρεία ΕΛΤΑ Courier, ώστε να καταλήξουμε στα συμπεράσματα της εργασίας.", "keywords": [ "Drone", "Agency (philosophy)", "Key (lock)", "Face (sociological concept)" ], "cited_by_openalex": 0, "cited_by_scopus": 0, "eid": null, "pii": null, "open_access_url": "https://doi.org/10.26258/heal.hua.6822", "sources": [ { "db": "openalex", "stream": "UAV", "query_id": "UAV-1" } ], "streams": [ "UAV" ], "relevance_signals": [ "UAV" ], "auto_exclude_reason": "EC-4", "screening_status": "auto_excluded", "screened_by": "auto-v1.0.0" }, { "id": "doi:10.31375/978-966-7716-94-3-17-19", "doi": "10.31375/978-966-7716-94-3-17-19", "title": "THE FUTURE OF LAST MILE LOGISTICS", "year": 2023, "authors": [ "A. Zhuchenko", "Ye. Yatsina", "I. Moskvichenko" ], "first_author": "A. Zhuchenko", "venue": null, "volume": null, "pages": null, "type": "conference-abstract", "language": "en", "abstract": "Last mile logistics refers to the operational capabilities available to companies. The challenges facing last mile logistics are: above all, with a quick response to consumer expectations. This is why flexibility seems so important, both in terms of delivery efficiency and speed of adaptation to new conditions. They determine the choice of supplier. We must not forget that the customer also expects low delivery costs. The future of last mile delivery will be built on key technologies such as: - autonomous delivery systems using a combination of self-driving cars, sidewalk robots and drones to minimize last-mile inefficiencies; - serial production, bringing execution closer to the end customer, ensuring faster delivery at a lower price; - robotic stores on wheels that transport goods directly to the consumer's doorstep, increasing delivery volume with added convenience; - “cabinets” for delivery and storage systems that increase the efficiency of last-mile logistics and facilitate reverse logistics; - digital twins to optimize the flow of resources throughout the supply chain, resulting in efficient delivery.", "keywords": [ "Last mile (transportation)", "Flexibility (engineering)", "Delivery Performance", "Mile", "Computer science", "Drone", "Supply chain", "Business", "Key (lock)", "Operations management", "Transport engineering", "Computer security" ], "cited_by_openalex": 0, "cited_by_scopus": 0, "eid": null, "pii": null, "open_access_url": "http://dx.doi.org/10.31375/978-966-7716-94-3-17-19", "sources": [ { "db": "openalex", "stream": "UAV", "query_id": "UAV-1" } ], "streams": [ "UAV" ], "relevance_signals": [ "UAV" ], "auto_exclude_reason": null, "screening_status": "pending_human_screening", "screened_by": "auto-v1.0.0" }, { "id": "doi:10.22214/ijraset.2023.56559", "doi": "10.22214/ijraset.2023.56559", "title": "Automated Drone Delivery System", "year": 2023, "authors": [ "Prof. U. M. Bansode", "Prasanna Kulkarni", "Yogesh Kedar", "Onkar Saravde", "Kaushal Nikam" ], "first_author": "Prof. U. M. Bansode", "venue": "International Journal for Research in Applied Science and Engineering Technology", "volume": null, "pages": null, "type": "article", "language": "en", "abstract": "Abstract: In the realm of urban logistics, the deployment of automated drone delivery systems has emerged as a transformative solution for urgent package deliveries. This research endeavors to design and construct a fully autonomous drone tailored for rapid and precise deliveries from scratch. Leveraging innovative technologies, including Arduino Uno as the central processing unit, along with GPS modules, NRF24LO1, Ultrasonic sensors, and advanced artificial intelligence algorithms, we create a sophisticated delivery system. Central to our approach is the strategic placement of multiple delivery stations across the city. Each drone is dedicated to a specific route between two delivery stations. When a delivery order is placed, the drone's software autonomously calculates the optimal distance to the nearest delivery station, ensuring swift and energy-efficient deliveries. Crucially, our system operates without human intervention, relying solely on advanced artificial intelligence algorithms to navigate the urban landscape effectively. This paper elucidates the technical intricacies of our drone's design, detailing the integration of sensors, software algorithms, and communication modules. Through rigorous experimentation and analysis, we validate the efficacy of our automated drone delivery system. Our findings not only showcase the practicality of autonomous drone technology in urban logistics but also underscore the potential for its widespread implementation in real-world scenarios, revolutionizing the future of package deliveries.", "keywords": [ "Drone", "Computer science", "Software deployment", "Software", "Systems engineering", "Arduino", "Construct (python library)", "Software engineering", "Embedded system", "Engineering", "Operating system" ], "cited_by_openalex": 0, "cited_by_scopus": 0, "eid": null, "pii": null, "open_access_url": "http://dx.doi.org/10.22214/ijraset.2023.56559", "sources": [ { "db": "openalex", "stream": "UAV", "query_id": "UAV-1" } ], "streams": [ "UAV" ], "relevance_signals": [ "UAV" ], "auto_exclude_reason": null, "screening_status": "pending_human_screening", "screened_by": "auto-v1.0.0" }, { "id": "doi:10.1109/sii55687.2023.10039137", "doi": "10.1109/sii55687.2023.10039137", "title": "Drone airfield location determination method for parcel delivery by vehicle and drone", "year": 2023, "authors": [ "Satoru Hori", "Norihisa Komoda", "Takenao Ohkawa" ], "first_author": "Satoru Hori", "venue": "2023 IEEE/SICE International Symposium on System Integration (SII)", "volume": null, "pages": null, "type": "conference-paper", "language": "en", "abstract": "While the e-commerce market has been expanding in recent years, some regions are facing a shortage of delivery drivers due to the declining birthrate and aging population, and so securing a delivery network is beginning to become a societal issue. For this reason, there are growing expectations for the use of drones to improve the efficiency of delivery. In this study, a method for determining drone airfields to realize efficient delivery through the coordination of a vehicle and a drone is proposed. In this method, road locations close to the average of the locations of residences belonging to each cluster calculated using the K-means method is selected as candidate locations for a drone airfield. Among the candidates, the location that minimizes the sum of travel time to the residences belonging to the cluster is selected as the location of the drone airfields. Through simulation evaluation, it was confirmed that the number of packages that can be delivered within the specified time slot increases, and the time required for delivery is reduced compared to the case where the location on the road closest to the average of the locations of residences belonging to each cluster calculated using the K-means method is used as the location of the drone airfields.", "keywords": [ "Drone", "Cluster (spacecraft)", "Economic shortage", "Computer science", "Travel time", "Population", "Transport engineering", "Operations research", "Engineering", "Computer network", "Demography" ], "cited_by_openalex": 0, "cited_by_scopus": "0", "eid": "2-s2.0-85149138092", "pii": null, "open_access_url": "https://da.lib.kobe-u.ac.jp/da/kernel/0100485253/0100485253.pdf", "sources": [ { "db": "openalex", "stream": "UAV", "query_id": "UAV-1" }, { "db": "scopus", "stream": "UAV", "query_id": "UAV-1" } ], "streams": [ "UAV" ], "relevance_signals": [ "UAV" ], "auto_exclude_reason": null, "screening_status": "pending_human_screening", "screened_by": "auto-v1.0.0" }, { "id": "title:economics of transport and logistics last mile logistics", "doi": null, "title": "Economics of transport and logistics. Last mile logistics", "year": 2023, "authors": [ "Adrián Pisano García" ], "first_author": "Adrián Pisano García", "venue": "UCrea (University of Cantabria)", "volume": null, "pages": null, "type": "dissertation", "language": "es", "abstract": "La evolución de la sociedad, la densidad de la población y los avances tecnológicos han conseguido que en los últimos años el comercio online se haya convertido en la mayor forma de compra de la gran mayoría de la población. Esto hizo variar los hábitos de consumo de familias pasando de acudir frecuentemente a tiendas físicas a fomentar la tienda online, las entregas a domicilio o puntos de entrega de paquetes. Como consecuencia de esta nueva forma de consumir hizo que las entregas a domicilio se dispararan exponencialmente. La logística ha marcado un antes y un después en el mundo empresarial. A través del paso del tiempo y sobre todo posteriormente a la época COVID-19 las empresas comenzaron a recibir diversas peticiones a la hora de entregar los paquetes. Todo este proceso tuvo sus ventajas y desventajas, siendo la distribución de la última milla la mayor preocupación para las empresas. Surgieron numerosos problemas, para los cuales ya se había encontrado una solución. Con este trabajo de fin de grado busco analizar las soluciones ya halladas e investigar sobre los nuevos TICS asociados a la última milla. Se realizará un análisis del proceso reparto de paquetería con drones, donde se expondrá una encuesta a diferentes públicos, con la cual se buscará extraer un análisis de datos con la finalidad de obtener la información suficiente sobre ello para realizar una implantación de ello en una ciudad como Santander.", "keywords": [ "Economic shortage", "Revenue" ], "cited_by_openalex": 0, "cited_by_scopus": 0, "eid": null, "pii": null, "open_access_url": "https://hdl.handle.net/10902/32403", "sources": [ { "db": "openalex", "stream": "UAV", "query_id": "UAV-1" } ], "streams": [ "UAV" ], "relevance_signals": [ "UAV" ], "auto_exclude_reason": null, "screening_status": "pending_human_screening", "screened_by": "auto-v1.0.0" }, { "id": "doi:10.20429/amtp.2023.08", "doi": "10.20429/amtp.2023.08", "title": "A Guide to Controlling Supply Chain Last Mile and Reverse Last-Mile Logistics: A Study of U.S. And China Small Business Enterprises", "year": 2023, "authors": [ "Emmanuel Finnih" ], "first_author": "Emmanuel Finnih", "venue": null, "volume": null, "pages": null, "type": "conference-paper", "language": "en", "abstract": "In the United States, the last-mile logistics infrastructure is less developed, with fewer delivery services and less efficient delivery methods. China has adopted more advanced technologies such as drones and robots for last-mile delivery, while the United States has lagged behind in this area (Zhang and Zhang, 2020). Finally, in terms of delivery methods, China has adopted more efficient methods such as same-day delivery and express delivery, while the United States has been relatively slow to adopt these methods, with many retailers still relying on traditional delivery methods like ground shipping. However, the COVID-19 pandemic has accelerated the adoption of e-commerce and delivery services in the United States, and there has been a recent surge in demand for same-day and express delivery options to meet the changing needs of consumers. (Zhang and Zhang, 2020). This research will use the grounded theory approach to analyze the last-mile logistics in China and the United States, drawing on the expertise of the supply chain industry. This study will also identify patterns and potential areas of growth in both China and the United States.", "keywords": [ "China", "Supply chain", "Last mile (transportation)", "Supply chain management", "Delivery system", "Small business", "Drone", "Humanitarian Logistics" ], "cited_by_openalex": 0, "cited_by_scopus": 0, "eid": null, "pii": null, "open_access_url": "https://digitalcommons.georgiasouthern.edu/cgi/viewcontent.cgi?article=1038&context=amtp-proceedings_2023", "sources": [ { "db": "openalex", "stream": "UAV", "query_id": "UAV-1" } ], "streams": [ "UAV" ], "relevance_signals": [ "UAV" ], "auto_exclude_reason": null, "screening_status": "pending_human_screening", "screened_by": "auto-v1.0.0" }, { "id": "title:solution to the multi echelon vehicle routing problem considering time windows and drones in the las", "doi": null, "title": "Solution to the multi-echelon vehicle routing problem considering time windows and drones in the last mile delivery for the management of humanitarian operations", "year": 2023, "authors": [ "Jennifer María Cataño Albarracín" ], "first_author": "Jennifer María Cataño Albarracín", "venue": "Universidad Industrial de Santander", "volume": null, "pages": null, "type": "dissertation", "language": "es", "abstract": "Este documento presenta un modelo matemático basado en el problema de ruteo de vehículos con drones, considerando el estudio de dos escalones y ventanas de tiempo, conocido en la literatura como el 2E-VRPD+TW (Two Echelon Vehicle Routing Problem with Drones + Time Windows), como herramienta para facilitar la toma de decisiones durante las etapas de preparación y respuesta en la gestión de desastres, específicamente en operaciones de entrega de suministros en áreas afectadas por desastres naturales; teniendo como objetivo la minimización del costo total de operación. Para representar el problema abordado, se hace uso de la programación lineal, utilizando como técnica de solución al algoritmo genético (Genetic Algorithm, GA) en su versión general y paralela. El algoritmo genético implementa la heurística del vecino más cercano en el ruteo de los drones y un método aleatorio en el de los vehículos, al ser validado demuestra adaptarse bien al problema, ofreciendo resultados lógicos y coherentes. El análisis estadístico de los resultados obtenidos muestra que el factor con mayor influencia sobre el costo total y el tiempo computacional es el número de generaciones y que la implementación del paralelismo mejora los resultados obtenidos. Finalmente se hacen recomendaciones para futuras investigaciones.", "keywords": [ "Drone", "Routing (electronic design automation)", "Internet of Things", "Work (physics)", "Vehicle routing problem" ], "cited_by_openalex": 0, "cited_by_scopus": 0, "eid": null, "pii": null, "open_access_url": "https://noesis.uis.edu.co/bitstreams/a26635f5-743d-4e78-b311-329496f9854a/download", "sources": [ { "db": "openalex", "stream": "UAV", "query_id": "UAV-1" }, { "db": "openalex", "stream": "UAV", "query_id": "UAV-2" } ], "streams": [ "UAV" ], "relevance_signals": [ "UAV" ], "auto_exclude_reason": null, "screening_status": "pending_human_screening", "screened_by": "auto-v1.0.0" }, { "id": "doi:10.4324/9781003415725-53", "doi": "10.4324/9781003415725-53", "title": "Identification and Extraction of Retailer's Expectations in the Last-Mile Delivery", "year": 2023, "authors": [ "Krishna Veer Tiwari", "Leela Rani V", "Satyendra Kumar Sharma" ], "first_author": "Krishna Veer Tiwari", "venue": null, "volume": null, "pages": null, "type": "book-chapter", "language": "en", "abstract": "In today’s competitive environment, as customers generate a high demand for products, retailers/manufacturers face additional pressure to meet the dynamic nature of customer demand in a sustainable manner. Last-mile delivery (LMD) is the last leg of the process and is an essential part of the delivery process. Various techniques in the past decade have come up with innovative solutions to optimize the LMD, like the Internet of Things (IoT), Machine learning (ML), autonomous vehicles, parcel lockers, and drone-based delivery, some of which are currently being implemented in industries to improve existing practices. The study involves an extensive review of literature to identify the evolution of retailer’s expectations, including the role of sustainability aspect to meet the Sustainable Development Goals (SDGs) in future delivery models. The literature is synthesized based on the methods adopted, definitions given over the years, and foundational or innovative solutions used. Using keyword cluster analysis and the software VOSviewer, the study highlighted the main enablers of evolving trends in LMD from the standpoint of different stakeholders, such as retailers, and their respective expectations. We compare the results to the present SDGs and group the findings into technology, infrastructure, and society as the three most important drivers. By identifying the research gaps, we propose the future implications for LMD that the focus should be on a specific location-based optimization technique. The value addition of the study is in the form of a comprehensive summary of three decades of literature in LMD from the perspective of the retailer and the investigation of the evolutionary trends.", "keywords": [ "Mile", "Last mile (transportation)", "Identification (biology)", "Extraction (chemistry)", "Business", "Geography", "Chromatography", "Chemistry", "Geodesy" ], "cited_by_openalex": 0, "cited_by_scopus": 0, "eid": null, "pii": null, "open_access_url": "https://doi.org/10.4324/9781003415725-53", "sources": [ { "db": "openalex", "stream": "UAV", "query_id": "UAV-1" }, { "db": "openalex", "stream": "UAV", "query_id": "UAV-3" } ], "streams": [ "UAV" ], "relevance_signals": [ "UAV" ], "auto_exclude_reason": null, "screening_status": "pending_human_screening", "screened_by": "auto-v1.0.0" }, { "id": "title:development of an integrated navigation system for urban drone delivery", "doi": null, "title": "Development Of An Integrated Navigation System For Urban Drone Delivery", "year": 2023, "authors": [ "Mohamed Alaaeldin Hassan Ahmed Aly" ], "first_author": "Mohamed Alaaeldin Hassan Ahmed Aly", "venue": "University of Debrecen Electronic Archive (University of Debrecen)", "volume": null, "pages": null, "type": "article", "language": "en", "abstract": "The thesis, titled \"Development of an Integrated Navigation System for Urban Drone Delivery,\" explores the creation of an autonomous drone delivery system tailored for urban settings. It addresses the shortcomings of traditional delivery methods and advocates for the use of drones in urban delivery. The proposed solution centers around an integrated navigation system in the Simulation In The Loop employing technologies such as the drone autopilot, simulation software, ground control station (GCS), and the robot operating system (ROS) framework. The experimental setup encompasses various components, including Ubuntu installation, catkin workspace, python virtual environment, PX4 firmware configuration, Gazebo simulation, QGroundControl setup, and ROS integration. The experimental results highlight the system's efficacy in areas like connection and communication status, manual control, autonomous takeoff and landing missions, path planning, and autonomous mission following. Then, the thesis concludes by discussing these findings and speculating on the potential impact of the autonomous drone delivery system on urban logistics.", "keywords": [ "Drone", "Firmware", "Python (programming language)", "Navigation system", "Robot", "Control system", "Motion planning", "Urban environment" ], "cited_by_openalex": 0, "cited_by_scopus": 0, "eid": null, "pii": null, "open_access_url": "https://hdl.handle.net/2437/365900", "sources": [ { "db": "openalex", "stream": "UAV", "query_id": "UAV-1" } ], "streams": [ "UAV" ], "relevance_signals": [ "UAV" ], "auto_exclude_reason": null, "screening_status": "pending_human_screening", "screened_by": "auto-v1.0.0" }, { "id": "doi:10.1541/ieejeiss.143.332", "doi": "10.1541/ieejeiss.143.332", "title": "A Look-ahead Search Method for Parcel Delivery Planning in Collaboration with Vehicle and Drone", "year": 2023, "authors": [ "Satoru Hori", "Norihisa Komoda", "Takenao Ohkawa" ], "first_author": "Satoru Hori", "venue": "IEEJ Transactions on Electronics Information and Systems", "volume": "143", "pages": "332-344", "type": "article", "language": "en", "abstract": "A parcel delivery method combining a vehicle and a drone is proposed. In a parcel delivery business where delivery time windows exist, the delivery order is determined by considering both keeping the delivery time windows restriction and shorting the total delivery time. To solve this problem, firstly, an initial solution is obtained by looking ahead multiple route candidates and selecting the point that leads to the route with the largest number of packages that can be delivered during the specified time windows as the next destination. Then, the initial plan is successively improved. Through simulation evaluation, it is confirmed that the proposed method can increase the number of packages that can be delivered during the specified time windows and reduce delivery time compared to a method where an initial solution is greedily searched by using only next destinations' information.", "keywords": [ "Drone", "Computer science", "Plan (archaeology)", "Point (geometry)", "Delivery system", "Simulation", "Real-time computing", "Operations research", "Engineering", "Mathematics" ], "cited_by_openalex": 0, "cited_by_scopus": "0", "eid": "2-s2.0-85149281599", "pii": null, "open_access_url": "https://doi.org/10.1541/ieejeiss.143.332", "sources": [ { "db": "openalex", "stream": "UAV", "query_id": "UAV-1" }, { "db": "scopus", "stream": "UAV", "query_id": "UAV-1" } ], "streams": [ "UAV" ], "relevance_signals": [ "UAV" ], "auto_exclude_reason": null, "screening_status": "pending_human_screening", "screened_by": "auto-v1.0.0" }, { "id": "doi:10.1109/sest57387.2023.10257390", "doi": "10.1109/sest57387.2023.10257390", "title": "Lifespan-Prolonging Dual Battery System Online Operation Scheduling for In-City Drone Delivery", "year": 2023, "authors": [ "Yiliang Yuan", "Jiahang Xie" ], "first_author": "Yiliang Yuan", "venue": "2023 International Conference on Smart Energy Systems and Technologies Sest 2023", "volume": null, "pages": null, "type": "conference-paper", "language": "en", "abstract": "Delivery conducted by drones plays a significant role in in-city delivery and last-mile delivery, owing to their fast speed and economy. However, since drones are powered by batteries, battery lifetime and the associated replacement cost are one of the main hindrances to more cost-efficient drone applications in delivery. In this work, the lifetime-prolonging dual battery online scheduling problem for drone operation is introduced. The dual battery consists of a new battery bank and a second-life battery bank, in which the scheduling can regulate the output of the new battery pack and thus extend its lifespan and meanwhile make full use of the abundant second-life battery resources. This scheduling problem can be solved optimally offline using a dynamic programming algorithm. However, online decisions in this dual battery system need to be made without future information. Thus the battery degradation cost is amortized into the operational cost per time interval, and an online algorithm is proposed. The proof of the competitive ratio of the online algorithm compared to the offline optimal is provided.", "keywords": [ "Drone", "Battery (electricity)", "Computer science", "Scheduling (production processes)", "Dual (grammatical number)", "Real-time computing", "Job shop scheduling", "Online algorithm", "Reliability engineering", "Embedded system", "Engineering", "Operations management" ], "cited_by_openalex": 0, "cited_by_scopus": "0", "eid": "2-s2.0-85174294877", "pii": null, "open_access_url": "http://dx.doi.org/10.1109/sest57387.2023.10257390", "sources": [ { "db": "openalex", "stream": "UAV", "query_id": "UAV-1" }, { "db": "scopus", "stream": "UAV", "query_id": "UAV-1" } ], "streams": [ "UAV" ], "relevance_signals": [ "UAV" ], "auto_exclude_reason": null, "screening_status": "pending_human_screening", "screened_by": "auto-v1.0.0" }, { "id": "doi:10.17825/klr.2023.33.3.30", "doi": "10.17825/klr.2023.33.3.30", "title": "Analysis and Forecast of Patent Trends in Unmanned Delivery Robot Technology: Focusing on Last-Mile Delivery Technology", "year": 2023, "authors": [ "Tae-Men Kim", "Bo-Na Choi", "Chan-Jeong Park" ], "first_author": "Tae-Men Kim", "venue": "한국물류학회지", "volume": null, "pages": null, "type": "article", "language": "en", "abstract": "With the advent of the untact era due to COVID-19, demand in the existing online market and the courier and logistics industry is accelerating. At the same time, the problem of decreasing available labor force due to decreasing population growth rate and aging is growing, causing difficulties due to labor shortage. In this paper, we examine the patent application trends of unmanned delivery systems by country, technology, and major applicants, and identify the degree of patent activity of major companies through index analysis. To this end, we analyzed domestic and foreign patents on unmanned delivery robot technology filed up to July 2021, and classified them according to the technology classification system to present the outlook of unmanned delivery technology. The analysis showed that robots, drones, and unmanned delivery boxes, which combine IoT technologies of the Fourth Industrial Revolution based on last-mile delivery technology, are expanding their scope of use. In addition, the development of cooperative delivery services combining robots and drones is expected, and the differentiation of delivery costs between rapid delivery by drones and regular delivery by robots is expected. This paper is expected to raise awareness of unmanned delivery technology among related companies and researchers, and to serve as a reference for future research and development for efficient last-mile delivery", "keywords": [ "Drone", "Last mile (transportation)", "Economic shortage", "Delivery system", "Technology development", "Population", "Scope (computer science)", "Business", "Operations management", "Engineering", "Computer science", "Mile" ], "cited_by_openalex": 0, "cited_by_scopus": 0, "eid": null, "pii": null, "open_access_url": "http://dx.doi.org/10.17825/klr.2023.33.3.30", "sources": [ { "db": "openalex", "stream": "UAV", "query_id": "UAV-1" } ], "streams": [ "UAV" ], "relevance_signals": [ "UAV" ], "auto_exclude_reason": null, "screening_status": "pending_human_screening", "screened_by": "auto-v1.0.0" }, { "id": "title:time adapted early arrival path for drone parcel delivery through public transportation vehicles usi", "doi": null, "title": "Time-adapted Early Arrival Path for Drone Parcel Delivery through Public Transportation Vehicles: Using Q-learning", "year": 2023, "authors": [ "Mohammed Rahmani", "Florian Delavernhe", "Sidi‐Mohammed Senouci", "Marion Berbineau" ], "first_author": "Mohammed Rahmani", "venue": "HAL (Le Centre pour la Communication Scientifique Directe)", "volume": null, "pages": null, "type": "conference-paper", "language": "en", "abstract": "International audience", "keywords": [ "Drone", "Path (computing)", "Public transport", "Computer science", "Transport engineering", "Aeronautics", "Real-time computing", "Simulation", "Artificial intelligence", "Engineering", "Computer network" ], "cited_by_openalex": 0, "cited_by_scopus": 0, "eid": null, "pii": null, "open_access_url": "https://ube.hal.science/hal-04357344", "sources": [ { "db": "openalex", "stream": "UAV", "query_id": "UAV-1" } ], "streams": [ "UAV" ], "relevance_signals": [ "UAV" ], "auto_exclude_reason": null, "screening_status": "pending_human_screening", "screened_by": "auto-v1.0.0" }, { "id": "doi:10.2139/ssrn.4589264", "doi": "10.2139/ssrn.4589264", "title": "Air Corridor Planning for Urban Drone Delivery: Complexity Analysis and Comparison via Multi-Commodity Network Flow and Graph Search", "year": 2023, "authors": [ "Lishuai Li", "Xinyu He", "Yanfang Mo", "Zhankun Sun", "S. Joe Qin" ], "first_author": "Lishuai Li", "venue": "SSRN Electronic Journal", "volume": null, "pages": null, "type": "preprint", "language": "en", "abstract": null, "keywords": [ "Computer science", "Drone", "Flow network", "Graph theory", "Algorithm", "Graph", "Theoretical computer science", "Mathematics", "Mathematical optimization", "Combinatorics" ], "cited_by_openalex": 0, "cited_by_scopus": 0, "eid": null, "pii": null, "open_access_url": "https://doi.org/10.2139/ssrn.4589264", "sources": [ { "db": "openalex", "stream": "UAV", "query_id": "UAV-1" }, { "db": "openalex", "stream": "UAV", "query_id": "UAV-2" } ], "streams": [ "UAV" ], "relevance_signals": [ "UAV_NO_CTX" ], "auto_exclude_reason": "EC-4-topic", "screening_status": "auto_excluded", "screened_by": "auto-v1.0.0" }, { "id": "title:drones", "doi": null, "title": "Το πρόβλημα του πλανόδιου πωλητή με drones", "year": 2023, "authors": [ "Αναστασία Μπαφούνη-Κοττά" ], "first_author": "Αναστασία Μπαφούνη-Κοττά", "venue": "Νημερτής", "volume": null, "pages": null, "type": "article", "language": "en", "abstract": "Drones are a developing technology promising multiple benefits for delivery services. Especially for the last mile delivery problem in logistics, where the rapid growth of e-commerce and parcel delivery have made the last leg of the deliveries network less efficient over the years, unmanned aerial vehicles (UAVs) can become the necessary strategic solution. Drones not only can fly over ground obstacles and avoid traffic, but they are also fast and precise. In contrast with regular means of transporting goods, UAVs are not restricted by infrastructure and can be an eco-friendly solution to small package deliveries. The present work focuses on the Travelling Salesman Problem (TSP) with Drones, which aims to solve the last mile delivery problem in logistics by combining traditional TSP with drone technology. The thesis examines the feasibility and effectiveness of using drones for small package deliveries by optimizing the route of 3 drones and one vehicle to deliver products to 10 customers using AIMMS software. The results of the study are expected to provide valuable insights into the benefits and limitations of using drones in last-mile delivery and offer recommendations for future implementations. A sensitivity analysis will also be conducted to assess the robustness and reliability of the proposed solution.", "keywords": [ "Drone", "Last mile (transportation)", "Robustness (evolution)", "Reliability (semiconductor)", "Work (physics)" ], "cited_by_openalex": 0, "cited_by_scopus": 0, "eid": null, "pii": null, "open_access_url": "https://hdl.handle.net/10889/24931", "sources": [ { "db": "openalex", "stream": "UAV", "query_id": "UAV-1" } ], "streams": [ "UAV" ], "relevance_signals": [ "UAV" ], "auto_exclude_reason": null, "screening_status": "pending_human_screening", "screened_by": "auto-v1.0.0" }, { "id": "title:secure communication scheme for internet of drones", "doi": null, "title": "Secure communication scheme for Internet of Drones", "year": 2023, "authors": [ "B. Molnár" ], "first_author": "B. Molnár", "venue": "University of Debrecen Electronic Archive (University of Debrecen)", "volume": null, "pages": null, "type": "article", "language": "en", "abstract": "The use of unmanned aerial vehicles (UAVs) has increased dramatically in recent years, and their applications have expanded from military service to commercial, scientific, and humanitarian operations. (e.g., Amazon's parcel delivery drones, drones rescue operations in Turkey earthquake) The growth in the number of devices makes it increasingly necessary to protect data and platforms in our daily lives. The current security state shows that the infrastructure is immature, which can lead to severe attacks (SkyJack, GPS attacks against the US drone, hardcoded AES keys with CBC mode in the DJI drones). This research proposes a secure, lightweight, scalable scheme for UAV communication using LoRa technology. The proposed scheme is comprised of two phases. The first phase is device registration, a scalable and robust protocol for drones based on secure Physical Unclonable Function (PUF) and blockchain- based registration. The role of the PUF is to provide the device with the appropriate secret and random values during drone registration. It is a device-specific fingerprint that is stored on a private blockchain. Blockchain technology is used to secure storage and potentially share drones' unique PUF values. The registration results in an ARP table which contains the exchanged symmetric keys. After the registration, the second phase is drone communication, where the drone messages transmitted within the network are encrypted by AES-GCM (Advanced Encryption Standard - Galois/Counter Mode), ensuring that all messages are authenticated and encrypted. We implemented a prototype which used LoRa technology. The prototype includes an ESP-WROOM- 32 development module with Espressif ESP32 dual-core processor, MG90S servo motors, an 8x6 propeller, 1200kv brushless DC motor, 3000 mAh LiPO battery and LoRa RA-02 module. We executed the communication analysis, which shows that our new scheme achieves an efficient result.", "keywords": [ "Drone", "Encryption", "Scalability", "Scheme (mathematics)", "The Internet", "Protocol (science)", "Server" ], "cited_by_openalex": 0, "cited_by_scopus": 0, "eid": null, "pii": null, "open_access_url": "https://hdl.handle.net/2437/351316", "sources": [ { "db": "openalex", "stream": "UAV", "query_id": "UAV-1" } ], "streams": [ "UAV" ], "relevance_signals": [ "UAV" ], "auto_exclude_reason": null, "screening_status": "pending_human_screening", "screened_by": "auto-v1.0.0" }, { "id": "doi:10.2514/6.2023-4408", "doi": "10.2514/6.2023-4408", "title": "Unmanned Aerial Vehicle Routing Problem for Integrated Manned and Unmanned Aircraft Operations", "year": 2023, "authors": [ "Yoshinori Matsuno", "Adriana Andreeva-Mori" ], "first_author": "Yoshinori Matsuno", "venue": "AIAA Aviation and Aeronautics Forum and Exposition AIAA Aviation Forum 2023", "volume": null, "pages": null, "type": "conference-paper", "language": "en", "abstract": "View Video Presentation: https://doi.org/10.2514/6.2023-4408.vid Small unmanned aerial vehicles (sUAVs) can potentially be used in a wide range of industrial applications, with a main one being last-mile package delivery systems. This study considers the sUAV-based package delivery systems under integrated operations of manned and unmanned aircraft. A multi-trip time-dependent vehicle routing problem is proposed to address the problem of generating optimal routes for sUAV in the integrated operation. Through numerical simulations of the integrated operation in which helicopter and sUAV missions are performed simultaneously in the same airspace, the optimal routes of sUAV are effectively generated without affecting the helicopter mission.", "keywords": [ "Aeronautics", "Range (aeronautics)", "Systems engineering", "Computer science", "Remotely operated underwater vehicle", "Routing (electronic design automation)", "Aerospace engineering", "Vehicle routing problem", "Engineering", "Mobile robot", "Embedded system", "Artificial intelligence" ], "cited_by_openalex": 0, "cited_by_scopus": "0", "eid": "2-s2.0-85200243880", "pii": null, "open_access_url": "https://doi.org/10.2514/6.2023-4408", "sources": [ { "db": "openalex", "stream": "UAV", "query_id": "UAV-1" }, { "db": "scopus", "stream": "UAV", "query_id": "UAV-1" }, { "db": "scopus", "stream": "UAV", "query_id": "UAV-2" } ], "streams": [ "UAV" ], "relevance_signals": [ "UAV" ], "auto_exclude_reason": null, "screening_status": "pending_human_screening", "screened_by": "auto-v1.0.0" }, { "id": "doi:10.48175/ijarsct-8689", "doi": "10.48175/ijarsct-8689", "title": "A Survey of Drones Using IOT Technology", "year": 2023, "authors": [ "Deepak Sonker", "Vishal Khatri", "Vishal Khatri" ], "first_author": "Deepak Sonker", "venue": "International Journal of Advanced Research in Science Communication and Technology", "volume": null, "pages": null, "type": "article", "language": "en", "abstract": "A Drone is a new invention or era in last recent years which is very effective; Drones are commonly known as Unmanned Aircraft System (UAV) or Flying Robots. Previously Unmanned Aircraft System (UAV) was used by militaries all around the world for different kind of technologies like Intelligence, Surveillance and Reconnaissance Operations. The use of Drones has been using continuously in different and wide areas, like Cargo, Parcel Delivery, Internet provision in remote areas, Emergency Aid, Industrial Asset monitoring pipelines, surveillance in crowded areas, providing food in flooded area and many more. Drones are a microcosm of the Internet of Things(IOT), also it has been realized that Drones have potential to increase the business by using the Technology for their Organizations.", "keywords": [ "Drone", "Internet of Things", "Computer security", "The Internet", "Asset (computer security)", "Computer science", "Aeronautics", "Business", "Engineering", "World Wide Web" ], "cited_by_openalex": 0, "cited_by_scopus": 0, "eid": null, "pii": null, "open_access_url": "https://doi.org/10.48175/ijarsct-8689", "sources": [ { "db": "openalex", "stream": "UAV", "query_id": "UAV-1" } ], "streams": [ "UAV" ], "relevance_signals": [ "UAV" ], "auto_exclude_reason": null, "screening_status": "pending_human_screening", "screened_by": "auto-v1.0.0" }, { "id": "doi:10.15803/ijnc.13.2_216", "doi": "10.15803/ijnc.13.2_216", "title": "Delivery Routing to Reduce Calculation Load of Drones on Divided Logistics Areas for Drone Logistics Networks", "year": 2023, "authors": [ "Kazuya Matsutani", "Shigetomo Kimura" ], "first_author": "Kazuya Matsutani", "venue": "International Journal of Networking and Computing", "volume": null, "pages": null, "type": "article", "language": "en", "abstract": "In a drone logistics system, a message delivery system in which the drone delivers messages for other users on the way to a parcel delivery destination has been proposed. To reduce the complexity of message delivery routes, this paper proposes a message delivery method that divides logistics areas and determines the message delivery routes in each area. The method also makes it possible for a later departure drone and an early departure drone to exchange information to add, cancel, and/or exchange their messages and delivery points. The simulation experiments show that compared with the previous method, the proposed method has lower computational complexity and in contrast, the average travel distance increases by a maximum of 53.6% to 77.9% and so forth.", "keywords": [ "Drone", "Computer science", "Routing (electronic design automation)", "Information exchange", "Operations research", "Computer network", "Telecommunications" ], "cited_by_openalex": 0, "cited_by_scopus": 0, "eid": null, "pii": null, "open_access_url": "https://www.jstage.jst.go.jp/article/ijnc/13/2/13_216/_pdf", "sources": [ { "db": "openalex", "stream": "UAV", "query_id": "UAV-1" } ], "streams": [ "UAV" ], "relevance_signals": [ "UAV" ], "auto_exclude_reason": null, "screening_status": "pending_human_screening", "screened_by": "auto-v1.0.0" }, { "id": "doi:10.1117/12.2683964", "doi": "10.1117/12.2683964", "title": "Evaluating the importance of nodes in the urban logistics UAV distribution network based on complex network theory", "year": 2023, "authors": [ "Longyang Huang", "Siyi Li", "Xiang Zou", "Bozhi Zhao", "Chenglong Li" ], "first_author": "Longyang Huang", "venue": "Proceedings of SPIE the International Society for Optical Engineering", "volume": "12708", "pages": null, "type": "conference-abstract", "language": "en", "abstract": "With the rapid development of unmanned aerial vehicles (UAVs) in urban logistics distribution in recent years, it demonstrates that the use of UAVs in this field will realize network operation in the future. However, identifying sites with high importance in the urban logistics UAV distribution networks is a crucial problem in developing this field. To address this, we construct a directional weighted network model of urban logistics drone distribution using basic knowledge of complex networks, with cargo flow between sites as the side weights. Classical statistical characteristic quantities of urban logistics UAV distribution networks are extracted as the evaluation indexes for key node identification in the network. The TOPSIS comprehensive evaluation method is applied to construct the evaluation system of network node importance. Using Chengdu Gaoxin South District as an example, the importance ranking of sites in this zone's urban logistics UAV distribution network is obtained, and suggestions are given on the order of site opening. The identification of key areas is of great reference value for the future development of urban logistics UAV distribution networks.", "keywords": [ "Ranking (information retrieval)", "Complex network", "Node (physics)", "Construct (python library)", "Computer science", "Field (mathematics)", "TOPSIS", "Identification (biology)", "Key (lock)", "Distribution (mathematics)", "Drone", "Transport engineering" ], "cited_by_openalex": 0, "cited_by_scopus": "0", "eid": "2-s2.0-85166482805", "pii": null, "open_access_url": "http://dx.doi.org/10.1117/12.2683964", "sources": [ { "db": "openalex", "stream": "UAV", "query_id": "UAV-1" }, { "db": "scopus", "stream": "UAV", "query_id": "UAV-1" } ], "streams": [ "UAV" ], "relevance_signals": [ "UAV" ], "auto_exclude_reason": null, "screening_status": "pending_human_screening", "screened_by": "auto-v1.0.0" }, { "id": "doi:10.22214/ijraset.2023.51040", "doi": "10.22214/ijraset.2023.51040", "title": "Computer Vision for Increased Efficiency of Delivery Drones Using NVIDIA Jetson Toolkit", "year": 2023, "authors": [ "Ameya Shukla", "Akul Athreye" ], "first_author": "Ameya Shukla", "venue": "International Journal for Research in Applied Science and Engineering Technology", "volume": null, "pages": null, "type": "article", "language": "en", "abstract": "Abstract: While drone delivery seemed ludicrous a few years ago, it is now a reality in many parts of the United States and throughout the world. Favourable development conditions, because of the FAA's more relaxed and transparent standards, as well as a rise in demand for autonomous last-mile delivery, are propelling drone delivery technology ahead. Consumers who have had the opportunity to experience drone delivery say they prefer the comfort, speed, and positive environmental effect of drone deliveries. Thus, it is very crucial to implement computer vision to increase the efficiency and safety of these delivery drones – and we believe that Jetson toolkit is a fantastic employable solution. Drones now have the processing power for improved object detection and tracking thanks to advances in computer vision and remote sensing. As a result, structured datasets can be used to teach deep learning-based unmanned aerial vehicles to detect objects while in surveillance mode. DNN-based drones have an important function: 3D object detection. After acquiring relevant data into the app, the camera with a trained computer vision model may scan an object utilising 3D object detection. This enables businesses to detect possible risks or things of concern in real time", "keywords": [ "Drone", "Computer science", "Object detection", "Object (grammar)", "Artificial intelligence", "Computer vision", "Real-time computing", "Human–computer interaction", "Pattern recognition (psychology)" ], "cited_by_openalex": 0, "cited_by_scopus": 0, "eid": null, "pii": null, "open_access_url": "https://doi.org/10.22214/ijraset.2023.51040", "sources": [ { "db": "openalex", "stream": "UAV", "query_id": "UAV-1" } ], "streams": [ "UAV" ], "relevance_signals": [ "UAV" ], "auto_exclude_reason": null, "screening_status": "pending_human_screening", "screened_by": "auto-v1.0.0" }, { "id": "doi:10.35511/978-963-334-450-7_s6_nyikos_ionescu", "doi": "10.35511/978-963-334-450-7_s6_nyikos_ionescu", "title": "Application Areas of Drones: Exploratory Research from Residential and Corporate Perspectives", "year": 2023, "authors": [ "Bendegúz Richárd Nyikos", "Astrid Ionescu" ], "first_author": "Bendegúz Richárd Nyikos", "venue": "Soproni Egyetem Kiadó eBooks", "volume": null, "pages": null, "type": "book-chapter", "language": "en", "abstract": "UAVs (Unmanned Aerial Vehicles), aerial robots, drones - whatever you call them, there is no doubt that their popularity has grown at an astonishing rate in recent years. Although for a very long time they were only seen at military bases and in movies, drones have now conquered the consumer market and revolutionised many industrial sectors. Today, drones are frequently used not only for military missions but also for simple everyday tasks. Whether it's for rapid parcel delivery, aerial damage assessment or even scientific projects, these remote-controlled flying devices offer a whole new range of possibilities for both everyday users and specialists. The paper is based on the review of the relevant literature and aims to explain the fields of application regarding the various flying devices.", "keywords": [ "Drone", "Popularity", "Engineering", "Aeronautics", "Political science", "Law" ], "cited_by_openalex": 0, "cited_by_scopus": 0, "eid": null, "pii": null, "open_access_url": "http://publicatio.uni-sopron.hu/2630/1/MTU_2022_Conf_Proceedings_SOE_LKK_s6_Nyikos_Ionescu.pdf", "sources": [ { "db": "openalex", "stream": "UAV", "query_id": "UAV-1" } ], "streams": [ "UAV" ], "relevance_signals": [ "UAV" ], "auto_exclude_reason": null, "screening_status": "pending_human_screening", "screened_by": "auto-v1.0.0" }, { "id": "title:planification strategique de trafics drones aeriens", "doi": null, "title": "Planification stratégique de trafics drones aériens", "year": 2023, "authors": [ "Zhengyi Wang" ], "first_author": "Zhengyi Wang", "venue": "HAL (Le Centre pour la Communication Scientifique Directe)", "volume": null, "pages": null, "type": "dissertation", "language": "en", "abstract": "Large numbers of Urban Air Mobility (UAM) vehicles are expected to operate in urban airspace in the near future. However, this growth will soon exceed the capacities of current airspace and air traffic management systems and put strains on transportation infrastructure, resulting in undesirable outcomes such as traffic congestion, complex traffic situations, delays, etc. As a result, innovative UAM solutions are required to ensure safe and efficient urban transportation. In this thesis, we focus on strategic planning in unmanned aircraft system traffic management, including airspace organization and management and traffic flow management. Specifically, we develop approaches for UAM route network design and air traffic assignment. The structure of the UAM route network strongly impacts many aspects of the operating traffic flow. The UAM route network is expected to be well-designed for the desired network operations, especially with dense traffic demands. In order to minimize the impact on existing air traffic management systems, this thesis proposes a comprehensive framework to design a UAM route network in low-altitude urban airspace in the presence of obstacles and hazardous airspace. Using a variety of open-source data, this approach is applied as a case study for parcel delivery services using UAVs as UAM vehicles in Singapore's urban airspace. Firstly, The UAM route network is designed as a grid-based network that avoids obstacles and airspace within which the aircraft is prohibited. Then, the link cost is defined in terms of noise impact on populations, airspace safety, and flight efficiency. Unlike most research that only calculates the shortest path, we formulate a k-shortest path problem with diversity to select feasible routes between origin-destination pairs that minimize the route cost. The feasibility of this approach is demonstrated in the experiment, which can also be easily transferred to other scenarios. The impact of different parameter settings for link costs on UAM services is also explored. The feasible routes with low similarity provide more travel options, which can be used as pre-computed routes for air traffic assignment models. To adapt the increasing demand to the current airspace capacity, we proposed several air traffic assignment models, including two static air traffic assignment models for single-layer and multi-layer two-way UAM route networks and a dynamic air traffic assignment model for multi-layer two-way UAM route networks in order to mitigate the congestion and complexity and organize the structure of air traffic flow. Firstly, at the macroscopic level, UAM operations are modeled as flows by aggregating the individual vehicle dynamics to describe the overall flow features with respect to the dense traffic volume. The flows are structured into UAM route networks, in which the air routes are modeled as corridors or volume segments. Then, the air traffic assignment model is formulated as an optimization problem. The objective functions are modeled to describe the air traffic complexity based on the linear dynamical system and the congestion based on energy consumption and traffic density. The simulation-based framework including different optimization approaches is proposed to efficiently solve these problems. Computational experiments are performed on case studies of UAM route networks at various scales. The comparisons with regard to conventional traffic assignment algorithms are presented. The results show that the proposed approach is capable of assigning flows in an efficient and effective manner, significantly reducing the complexity and congestion of the UAM operations. The proposed model can be used to assist regulators and air navigation service providers for air traffic assignments in the strategic planning of UAM operations.", "keywords": [ "Strategic planning", "Business", "Transport engineering", "Engineering", "Marketing" ], "cited_by_openalex": 0, "cited_by_scopus": 0, "eid": null, "pii": null, "open_access_url": "https://theses.hal.science/tel-04260145v1/document", "sources": [ { "db": "openalex", "stream": "UAV", "query_id": "UAV-1" } ], "streams": [ "UAV" ], "relevance_signals": [ "UAV" ], "auto_exclude_reason": null, "screening_status": "pending_human_screening", "screened_by": "auto-v1.0.0" }, { "id": "doi:10.1109/csnt57126.2023.10134749", "doi": "10.1109/csnt57126.2023.10134749", "title": "DPC: An amalgamated approach for drone package classification system", "year": 2023, "authors": [ "Niharika Niharika", "Raghav Jain", "Pulkit Singla", "Rishabh Sharma", "Vinay Kukreja", "Ramanjeet Singh" ], "first_author": "Niharika Niharika", "venue": "Proceedings 2023 12th IEEE International Conference on Communication Systems and Network Technologies Csnt 2023", "volume": null, "pages": "791-796", "type": "conference-paper", "language": "en", "abstract": "The logistics and e-commerce sectors have always incorporated parcel delivery and packing as their integral part. With the high amount of demand and supply in the domain of e-commerce, there is a high demand for drone-based delivery systems through which a certain amount of parcel packages can be delivered using drones. To assist the aforementioned domain, the proposed work aims to develop a drone package classification (DPC) system for the classification of packages according to their weight and the type of drone that can be employed to deliver the particular class of packages. The complete experiment has been executed using DL based hybrid approach consisting of convolutional neural network (CNN) and long short-term memory (LSTM) technique on a self-developed package5k dataset resulting in an overall accuracy of 93.82%. The entire investigation and suggested DL-based hybrid strategy have shown to be a successful, efficient, and sustainable method for the identification and classification of drone packages to create a successful and sustainable DPC system.", "keywords": [ "Drone", "Computer science", "Domain (mathematical analysis)", "Convolutional neural network", "Identification (biology)", "Class (philosophy)", "Artificial intelligence", "Embedded system" ], "cited_by_openalex": 0, "cited_by_scopus": "0", "eid": "2-s2.0-85162012420", "pii": null, "open_access_url": "https://doi.org/10.1109/csnt57126.2023.10134749", "sources": [ { "db": "openalex", "stream": "UAV", "query_id": "UAV-1" }, { "db": "openalex", "stream": "UAV", "query_id": "UAV-3" }, { "db": "scopus", "stream": "UAV", "query_id": "UAV-1" }, { "db": "scopus", "stream": "UAV", "query_id": "UAV-3" } ], "streams": [ "UAV" ], "relevance_signals": [ "UAV" ], "auto_exclude_reason": null, "screening_status": "pending_human_screening", "screened_by": "auto-v1.0.0" }, { "id": "doi:10.48550/arxiv.2310.02542", "doi": "10.48550/arxiv.2310.02542", "title": "Tightly Joining Positioning and Control for Trustworthy Unmanned Aerial Vehicles Based on Factor Graph Optimization in Urban Transportation", "year": 2023, "authors": [ "Peiwen Yang", "Weisong Wen" ], "first_author": "Peiwen Yang", "venue": "arXiv (Cornell University)", "volume": null, "pages": null, "type": "preprint", "language": "en", "abstract": "Unmanned aerial vehicles (UAV) showed great potential in improving the efficiency of parcel delivery applications in the coming smart cities era. Unfortunately, the trustworthy positioning and control algorithms of the UAV are significantly challenged in complex urban areas. For example, the ubiquitous global navigation satellite system (GNSS) positioning can be degraded by the signal reflections from surrounding high-rising buildings, leading to significantly increased positioning uncertainty. An additional challenge is introduced to the control algorithm due to the complex wind disturbances in urban canyons. Given the fact that the system positioning and control are highly correlated with each other, for example, the system dynamics of the control can largely help with the positioning, this paper proposed a joint positioning and control method (JPCM) based on factor graph optimization (FGO), which combines sensors' measurements and control intention. In particular, the positioning measurements are formulated as the factors in the factor graph model, such as the positioning from the GNSS. The model predictive control (MPC) is also formulated as the additional factors in the factor graph model. By solving the factor graph contributed by both the positioning factor and the MPC-based factors, the complementariness of positioning and control can be fully explored. To guarantee reliable system dynamic parameters, we validate the effectiveness of the proposed method using a simulated quadrotor system which showed significantly improved trajectory following performance. To benefit the research community, we open-source our code and make it available at https://github.com/RoboticsPolyu/IPN_MPC.", "keywords": [ "GNSS applications", "Computer science", "Factor graph", "Positioning system", "Trajectory", "Graph", "Model predictive control", "Satellite system", "Real-time computing", "Global Positioning System", "Control (management)", "Simulation" ], "cited_by_openalex": 0, "cited_by_scopus": 0, "eid": null, "pii": null, "open_access_url": "https://arxiv.org/pdf/2310.02542", "sources": [ { "db": "openalex", "stream": "UAV", "query_id": "UAV-1" } ], "streams": [ "UAV" ], "relevance_signals": [ "UAV" ], "auto_exclude_reason": null, "screening_status": "pending_human_screening", "screened_by": "auto-v1.0.0" }, { "id": "doi:10.59287/idtscm.67", "doi": "10.59287/idtscm.67", "title": "Sustainable Agricultural Supply Chains: The Role of Drones in Improving Efficiency and Reducing Environmental Impact", "year": 2023, "authors": [ "Naz TÜRKSOY" ], "first_author": "Naz TÜRKSOY", "venue": null, "volume": null, "pages": null, "type": "book-chapter", "language": "en", "abstract": "The logistics and supply chain management industry faces increasing complexity in managing various components and stakeholders. Unmanned aerial vehicles (UAVs), commonly known as drones, have gained popularity in logistics and supply chain management due to their ability to deliver goods, collect data, and perform various tasks. This research examines the potential of drones in enhancing the sustainability of agricultural supply chains and aims to explore how drones can improve efficiency and reduce the environmental impact of supply chain operations in agriculture. It focuses on analyzing the benefits and challenges associated with using drones in agricultural logistics, inventory management, last-mile delivery, monitoring, and inspection. The study highlights the significant contributions of the Lean approach in utilizing drones for supply chain management in agriculture. The findings indicate that drones optimize lastmile delivery, providing timely and efficient transportation while reducing costs and overcoming challenges faced by traditional vehicles. They also enhance inventory management by providing real-time information, leading to cost reduction and improved supply chain operations. Furthermore, drones play a crucial role in crop monitoring, facility inspections, and precision agriculture, improving overall productivity, reducing environmental impact, and promoting sustainability in the agricultural sector. This research provides valuable insights into the potential applications of drones in agricultural supply chains. By understanding the benefits and challenges associated with their use, stakeholders in the logistics and supply chain management industry can make informed decisions and develop strategies to incorporate drones into their operations. Ultimately, the integration of drones in agricultural supply chains can contribute to a more sustainable and efficient industry.", "keywords": [ "Drone", "Supply chain", "Business", "Sustainability", "Agriculture", "Supply chain management", "Environmental economics", "Popularity", "Marketing", "Economics" ], "cited_by_openalex": 0, "cited_by_scopus": 0, "eid": null, "pii": null, "open_access_url": "https://as-books.com/index.php/idtscm/article/download/67/61", "sources": [ { "db": "openalex", "stream": "UAV", "query_id": "UAV-1" } ], "streams": [ "UAV" ], "relevance_signals": [ "UAV" ], "auto_exclude_reason": null, "screening_status": "pending_human_screening", "screened_by": "auto-v1.0.0" }, { "id": "doi:10.48550/arxiv.2310.02726", "doi": "10.48550/arxiv.2310.02726", "title": "Optimal Collaborative Transportation for Under-Capacitated Vehicle Routing Problems using Aerial Drone Swarms", "year": 2023, "authors": [ "Akash Kopparam Sreedhara", "Deepesh Padala", "Shashank Mahesh", "Kai Cui", "Mengguang Li", "Heinz Koeppl" ], "first_author": "Akash Kopparam Sreedhara", "venue": "arXiv (Cornell University)", "volume": null, "pages": null, "type": "preprint", "language": "en", "abstract": "Swarms of aerial drones have recently been considered for last-mile deliveries in urban logistics or automated construction. At the same time, collaborative transportation of payloads by multiple drones is another important area of recent research. However, efficient coordination algorithms for collaborative transportation of many payloads by many drones remain to be considered. In this work, we formulate the collaborative transportation of payloads by a swarm of drones as a novel, under-capacitated generalization of vehicle routing problems (VRP), which may also be of separate interest. In contrast to standard VRP and capacitated VRP, we must additionally consider waiting times for payloads lifted cooperatively by multiple drones, and the corresponding coordination. Algorithmically, we provide a solution encoding that avoids deadlocks and formulate an appropriate alternating minimization scheme to solve the problem. On the hardware side, we integrate our algorithms with collision avoidance and drone controllers. The approach and the impact of the system integration are successfully verified empirically, both on a swarm of real nano-quadcopters and for large swarms in simulation. Overall, we provide a framework for collaborative transportation with aerial drone swarms, that uses only as many drones as necessary for the transportation of any single payload.", "keywords": [ "Drone", "Swarm behaviour", "Computer science", "Vehicle routing problem", "Payload (computing)", "Generalization", "Routing (electronic design automation)", "Distributed computing", "Computer network", "Artificial intelligence", "Mathematics" ], "cited_by_openalex": 0, "cited_by_scopus": 0, "eid": null, "pii": null, "open_access_url": "https://arxiv.org/pdf/2310.02726", "sources": [ { "db": "openalex", "stream": "UAV", "query_id": "UAV-1" }, { "db": "openalex", "stream": "UAV", "query_id": "UAV-2" } ], "streams": [ "UAV" ], "relevance_signals": [ "UAV" ], "auto_exclude_reason": null, "screening_status": "pending_human_screening", "screened_by": "auto-v1.0.0" }, { "id": "doi:10.1201/9781003353034-13", "doi": "10.1201/9781003353034-13", "title": "Moving Toward Autonomous Vehicles (Drones and Robots) for Efficient and Smart Delivery of Services Using Hybrid Ontological-Based Approach", "year": 2023, "authors": [ "Nidhi Nidhi", "Jitender Kumar", "Sofia Sandhu" ], "first_author": "Nidhi Nidhi", "venue": "Convergence of Iot Blockchain and Computational Intelligence in Smart Cities", "volume": null, "pages": "239-250", "type": "book-chapter", "language": "en", "abstract": "Everything is getting smarter nowadays, from mobiles to lifestyle, then why cannot be smart delivery services? Increased travel demand in urban areas is one of the salient factors of congestion on the existing network. With this tremendous rate of increase, existing infrastructure is not competent to meet the rising demand, nor is it sustainable point to build multiple roads at every place and ongoing routes. It is not feasible every time to increase resources which in turn will lead to more delays and congestion. So, there is an utmost need to explore the emerging autonomous technologies that can minimize the process of human-to-human interaction and ensure reliable, fastest, and efficient delivery of transport packages, food items, or other postal delivery services. It&s;s time to integrate small unmanned aerial vehicles (UAVs) into intelligent transportation systems that will empower efficient and smart delivery of services. Consider a case of food delivery process which is being transformed digitally by the use of smartphones and tracking apps. Nevertheless, the digital ordering of food via apps has made the process easier and relaxing but it has failed to mitigate congestion problem in urban cities. Now, there is a need to move one more step higher by making transportation services smart, reliable, and congestion free. The solution to this smart transportation services lies in the employment of Autonomous Ground Vehicles (AGVs) and Autonomous Aerial Vehicles (AAVs) . The former vehicle system (i.e. AGV) applies to generic term that signifies autonomous cars or autonomous robots with varying sizes and weights traveling specific distances that the parcel needs to be delivered to, whereas the latter vehicle system (i.e. AAV) represents drones or unmanned vehicles that are being utilized to transport packages, providing healthcare services, postal and food delivery services, as well as other utility services in the case of emergency situations. Drones and robots are the futuristic and emerging technologies that are defying the need of orthodox delivery systems. These automated vehicles enhance capacity of traditional fleets and are equipped with sensors and simulators that perform specific tasks in an efficient manner. Nowadays, they are in high demand by corporates, food business partners, and various organizations. Usage of drones and robots also proved efficient during COVID-19 pandemic in many ways, such that it minimized human-to-human interactions and eventually mitigated the risk of infections; it also increased capacity enhancement of delivery services when everything was out of order during pandemic. In addition to this, these automated vehicles delivered medical supply and goods even in highly congested areas. The development of this study is the outcome of serious need for service innovation. As explained here, each autonomous technology has been applied in various services ranging from food delivery to medical goods. The main idea is that these autonomous technologies have the potential to minimize congestion and traffic by efficiently and reliably utilizing delivery journeys off the road network. That&s;s why robotics and automation have become a vast research area in the era of technology. In this chapter, three types of delivery systems are discussed and analyzed using the robot and drone technologies. The system includes AGV systems, AAV systems, and hybrid system that utilizes both robots and drones. AGV includes usage of a fleet of robots that run on pedestrians and sideways without interfering with ongoing road traffic network. AAV consists of fleet of drones operating and delivering food parcels at higher speeds. The third system is the hybrid system which is an amalgamation of ground vehicle system and aerial vehicle systems. In this system, robots are utilized for pick-up services in highly congested areas where drone landing is not feasible, and then package is placed in the drone, which is ready to be delivered from pick-up location to destination. A deep analysis of integration of autonomous and emerging technologies in the context of delivery systems is conducted by taking a place named Connaught Place (CP) into consideration. As it is a highly congested place, it will produce good simulation results when parameters and coordinates are taken during peak hours. The aim of this study is multifold: (a) research into robots and drone delivery systems. It includes scheduling algorithms to calculate average waiting time during short intervals of time. To maintain uniformity, suppose it is calculated at an interval of 10 seconds and average turnaround response time is estimated for drones, robots, and hybrid systems; (b) proposed models of three delivery systems with regard to live coordinates recorded during peak hours at CP in Delhi; (c) analyzing the performance of three systems in context of scheduling, time intervals, and waiting times by using appropriate scheduling strategies; and (d) the chapter ends with conclusion and future scope followed by references. In this chapter, it is discussed that all three proposed systems carry single parcel or order at a time but as a future scope, it can be stated that drones carry multiple parcels at a time to minimize customer waiting time and increases optimization. It would also require safety analysis for such situations.", "keywords": [ "Drone", "Robot", "Computer science", "Human–computer interaction", "Artificial intelligence" ], "cited_by_openalex": 0, "cited_by_scopus": "0", "eid": "2-s2.0-85179201008", "pii": null, "open_access_url": "https://doi.org/10.1201/9781003353034-13", "sources": [ { "db": "openalex", "stream": "UAV", "query_id": "UAV-1" }, { "db": "scopus", "stream": "UAV", "query_id": "UAV-1" } ], "streams": [ "UAV" ], "relevance_signals": [ "UAV" ], "auto_exclude_reason": null, "screening_status": "pending_human_screening", "screened_by": "auto-v1.0.0" }, { "id": "doi:10.18372/2310-5461.59.17954", "doi": "10.18372/2310-5461.59.17954", "title": "RESEARCH ON UAV IN LOGISTICS DISTRIBUTION", "year": 2023, "authors": [ "Haoyang Li" ], "first_author": "Haoyang Li", "venue": "Science-based technologies", "volume": null, "pages": null, "type": "article", "language": "en", "abstract": "This article takes the COVID-19 epidemic as the starting point, and analyzes the difficulty of delivering drones in the \"last mile\" in the context of a severely aging population. The last mile delivery means that after customers shop through e-commerce, the purchased items are delivered to the distribution point, and then the goods are delivered to the customer from a sorting center through a certain means of transportation to achieve door-to-door service. The \"last mile\" of distribution is not a real mile, but refers to the distance from the logistics sorting center to the customer, and the process of delivering the goods to the customer through the means of transportation. Because it is a short distance, it is called one-kilometer delivery as the saying goes. This short-distance distribution is the last link of the entire logistics link and the only link that directly contacts customers face-to-face, which is of great significance. With the maturity of artificial intelligence technology, UAV distribution has emerged. This paper expounds the distribution scope, distribution process and technical equipment of the current development of UAV distribution, analyzes the problems of UAV endurance, airspace restrictions, and distribution safety, and puts forward corresponding countermeasures. Intelligent computing can reconstruct the logistics operation process. With the development of artificial intelligence, the logistics process may be decomposed into several parallel processes. Within the scope of the logistics system, using artificial intelligence technology, many activities such as automatic decision-making, automatic detection, and automatic repair can be automatically sorted according to the process. These activities can also not enter the cloud computing center platform, greatly improving the system computing efficiency and responsiveness. Because of its light weight and fast speed, UAVs can avoid urban traffic congestion and can cross special terrains such as mountains and lakes. The use of UAVs can shorten logistics delivery time and reduce logistics costs, so that its application scope of logistics distribution is getting wider and wider. In recent years, due to the strong contagiousness of the new crown epidemic, contactless distribution has attracted widespread attention, which has promoted the promotion and application of cutting-edge logistics distribution tools such as drones, drone vehicles and delivery robots.", "keywords": [ "Last mile (transportation)", "Distribution center", "Process (computing)", "Scope (computer science)", "Service (business)", "Computer science", "Context (archaeology)", "Distribution (mathematics)", "Transport engineering", "Operations research", "Sorting", "Engineering" ], "cited_by_openalex": 0, "cited_by_scopus": 0, "eid": null, "pii": null, "open_access_url": "https://jrnl.nau.edu.ua/index.php/SBT/article/download/17954/25258", "sources": [ { "db": "openalex", "stream": "UAV", "query_id": "UAV-1" } ], "streams": [ "UAV" ], "relevance_signals": [ "UAV" ], "auto_exclude_reason": null, "screening_status": "pending_human_screening", "screened_by": "auto-v1.0.0" }, { "id": "doi:10.18372/1990-5548.78.18280", "doi": "10.18372/1990-5548.78.18280", "title": "Air Traffic Control and Flight Planning for Cargo UAVS in a Single Airspace", "year": 2023, "authors": [ "Haoyang Li", "Volodymyr P. Kharchenko" ], "first_author": "Haoyang Li", "venue": "Electronics and Control Systems", "volume": null, "pages": null, "type": "article", "language": "en", "abstract": "This article piece analyzes in detail the challenges and approaches to incorporating large cargo Unmanned Aerial Vehicles into existing airspace, focusing on air traffic management and flight operations planning. Modifications to air traffic control models required as a result of the inclusion of Unmanned Aerial Vehicles are discussed, with a focus on managing the various stochastic parameters that affect flight quality. The importance of maintaining safe takeoff and landing intervals is also emphasized. In addition, the article delves into the application of machine learning techniques in air traffic flow management, exploring the complexities of planning scheduled and special flights under conditions of incomplete information and stochastic uncertainty. The article highlights the importance of optimizing the payload-to-range ratio of Unmanned Aerial Vehicles, taking into account factors such as wind conditions and battery efficiency to improve cargo transport efficiency. In addition, the article presents a two-stage stochastic programming model for flight planning aimed at minimizing costs and efficiently allocating flights and resources. The impact of drones on \"last mile\" delivery logistics is also discussed, emphasizing the potential benefits of drones in terms of increased speed, cost reduction, and access to remote areas.", "keywords": [ "Aeronautics", "Air traffic control", "Free flight", "Control (management)", "Engineering", "Computer science", "Aerospace engineering", "Transport engineering", "Artificial intelligence" ], "cited_by_openalex": 0, "cited_by_scopus": 0, "eid": null, "pii": null, "open_access_url": "https://jrnl.nau.edu.ua/index.php/ESU/article/download/18280/25530", "sources": [ { "db": "openalex", "stream": "UAV", "query_id": "UAV-1" } ], "streams": [ "UAV" ], "relevance_signals": [ "UAV" ], "auto_exclude_reason": null, "screening_status": "pending_human_screening", "screened_by": "auto-v1.0.0" }, { "id": "doi:10.46254/au02.20230220", "doi": "10.46254/au02.20230220", "title": "Driving Forces Shaping the Future of Urban Logistics: Insights from a Foresight Exercise in Singapore", "year": 2023, "authors": [ "Ei Myat Kay Khine", "Seyed Mehdi Zahraei", "Sougotam Ghosh" ], "first_author": "Ei Myat Kay Khine", "venue": null, "volume": null, "pages": null, "type": "conference-paper", "language": "en", "abstract": "Urban logistics is an extremely important and yet disturbing activity for cities. On the one hand, it plays a key role in the development of cities by distributing goods to retail, commercial establishments, and homes. On the other hand, its operations negatively impact the environment, economy, and society in general. In addition, urban logistics is a complex and evolving system shaped by various uncertainties and driving forces. Its development cannot be projected by simply extrapolating past and current trends. Foresight exercises help planners and stakeholders identify key drivers of change, including trends, challenges, and technologies, that might effectively shape the future. This paper presents insights from an ongoing foresight study on the future of urban logistics in Singapore. Preliminary findings in our environmental scanning indicate that e-commerce, decarbonisation, regulatory measures, parcel lockers, and cycle logistics are the dominant future drivers of change in the urban logistics landscape in Singapore. Regarding technology, autonomous vehicles, delivery robots, green vehicles, drones, and tracking technology are seen as potential game-changers for Singapore's future urban logistics.", "keywords": [ "Futures studies", "Computer science", "Business", "Artificial intelligence" ], "cited_by_openalex": 0, "cited_by_scopus": 0, "eid": null, "pii": null, "open_access_url": "https://ieomsociety.org/proceedings/2023australia/220.pdf", "sources": [ { "db": "openalex", "stream": "UAV", "query_id": "UAV-1" } ], "streams": [ "UAV" ], "relevance_signals": [ "UAV" ], "auto_exclude_reason": null, "screening_status": "pending_human_screening", "screened_by": "auto-v1.0.0" }, { "id": "doi:10.48550/arxiv.2312.02478", "doi": "10.48550/arxiv.2312.02478", "title": "RL-Based Cargo-UAV Trajectory Planning and Cell Association for Minimum Handoffs, Disconnectivity, and Energy Consumption", "year": 2023, "authors": [ "Nesrine Cherif", "Wael Jaafar", "Halim Yanıkömeroğlu", "Abbas Yongaçoğlu" ], "first_author": "Nesrine Cherif", "venue": "arXiv (Cornell University)", "volume": null, "pages": null, "type": "preprint", "language": "en", "abstract": "Unmanned aerial vehicle (UAV) is a promising technology for last-mile cargo delivery. However, the limited on-board battery capacity, cellular unreliability, and frequent handoffs in the airspace are the main obstacles to unleash its full potential. Given that existing cellular networks were primarily designed to service ground users, re-utilizing the same architecture for highly mobile aerial users, e.g., cargo-UAVs, is deemed challenging. Indeed, to ensure a safe delivery using cargo-UAVs, it is crucial to utilize the available energy efficiently, while guaranteeing reliable connectivity for command-and-control and avoiding frequent handoff. To achieve this goal, we propose a novel approach for joint cargo-UAV trajectory planning and cell association. Specifically, we formulate the cargo-UAV mission as a multi-objective problem aiming to 1) minimize energy consumption, 2) reduce handoff events, and 3) guarantee cellular reliability along the trajectory. We leverage reinforcement learning (RL) to jointly optimize the cargo-UAV's trajectory and cell association. Simulation results demonstrate a performance improvement of our proposed method, in terms of handoffs, disconnectivity, and energy consumption, compared to benchmarks.", "keywords": [ "Handover", "Computer science", "Energy consumption", "Leverage (statistics)", "Trajectory", "Base station", "Cellular network", "Reliability (semiconductor)", "Computer network", "Real-time computing", "Engineering", "Artificial intelligence" ], "cited_by_openalex": 0, "cited_by_scopus": 0, "eid": null, "pii": null, "open_access_url": "https://arxiv.org/pdf/2312.02478", "sources": [ { "db": "openalex", "stream": "UAV", "query_id": "UAV-1" } ], "streams": [ "UAV" ], "relevance_signals": [ "UAV" ], "auto_exclude_reason": null, "screening_status": "pending_human_screening", "screened_by": "auto-v1.0.0" }, { "id": "doi:10.1007/978-981-99-2092-1_17", "doi": "10.1007/978-981-99-2092-1_17", "title": "Method of Improving Logistics Distribution Efficiency by Combining Small Multi-rotor UAV with the Visual Recognition System", "year": 2023, "authors": [ "Shuai Sun", "Weilun Xia", "Qiankun Zhu", "Zeping Han" ], "first_author": "Shuai Sun", "venue": "Lecture notes in electrical engineering", "volume": "1044 LNEE", "pages": "138-144", "type": "conference-paper", "language": "en", "abstract": null, "keywords": [ "Rotor (electric)", "Computer science", "Artificial intelligence", "Computer vision", "Engineering", "Mechanical engineering" ], "cited_by_openalex": 0, "cited_by_scopus": "0", "eid": "2-s2.0-85161551286", "pii": null, "open_access_url": "https://doi.org/10.1007/978-981-99-2092-1_17", "sources": [ { "db": "openalex", "stream": "UAV", "query_id": "UAV-1" }, { "db": "scopus", "stream": "UAV", "query_id": "UAV-1" } ], "streams": [ "UAV" ], "relevance_signals": [ "UAV_NO_CTX" ], "auto_exclude_reason": "EC-4-topic", "screening_status": "auto_excluded", "screened_by": "auto-v1.0.0" }, { "id": "doi:10.1109/maes.2023.3267282", "doi": "10.1109/maes.2023.3267282", "title": "In This Issue –Technically", "year": 2023, "authors": [], "first_author": null, "venue": "IEEE Aerospace and Electronic Systems Magazine", "volume": null, "pages": null, "type": "article", "language": "en", "abstract": "According to recent studies, unmanned aerial vehicles can play a game-changing part in cost reduction and speed increase to address the last-mile delivery problem and attend to emergencies.Last-mile delivery services are becoming more and more relevant, especially when in times when social distance is required.However, a systemic view of how to provide a feasible solution to enable this application as a vertical market in the urban context is still inexistent.Given this scenario, this article contributes by proposing a cyber-physical system roadmap applicable to last-mile delivery drones.The proposed cyber-physical system (CPS) guidelines are based on a system's ability to enhance an operation toward smart cities' governance.This article also discusses topics from air-space control and reservation to communication infrastructure and decentralized control supported on a blockchain.", "keywords": [ "Computer science", "Engineering" ], "cited_by_openalex": 0, "cited_by_scopus": 0, "eid": null, "pii": null, "open_access_url": "https://ieeexplore.ieee.org/ielx7/62/10122748/10122757.pdf", "sources": [ { "db": "openalex", "stream": "UAV", "query_id": "UAV-1" } ], "streams": [ "UAV" ], "relevance_signals": [ "UAV" ], "auto_exclude_reason": null, "screening_status": "pending_human_screening", "screened_by": "auto-v1.0.0" }, { "id": "doi:10.46254/sa04.20230036", "doi": "10.46254/sa04.20230036", "title": "The Airborne Fulfillment Center: Understanding the Feasibility and Limitations of the Flying Vessel", "year": 2023, "authors": [ "Evan Engler", "Eric Cheon", "Gabriella Fajardo Gomez", "Lance Wharton", "Jakob Teksler", "Mohamed Awwad" ], "first_author": "Evan Engler", "venue": null, "volume": null, "pages": null, "type": "conference-paper", "language": "en", "abstract": "The purpose of this paper is to explore the potential application of Airborne Fulfillment Centers (AFC) supporting last-mile delivery.An AFC is an airship that flies over high-density areas and uses unmanned drones to complete lastmile delivery.Our research will focus on the viability of AFCs in high-density areas for last-mile delivery.Specifically analyzing the possible efficiencies and deficiencies of the model on supply chain logistics.Additionally, we will analyze the environmental and regulatory aspects of AFC implementation.Amazon and Walmart have patents for possible AFC designs, which will be evaluated.The goal of this paper will be to provide recommendations on possible AFC applications and overall viability in the near future.", "keywords": [ "Center (category theory)", "Aeronautics", "Environmental science", "Computer science", "Remote sensing", "Engineering", "Geology" ], "cited_by_openalex": 0, "cited_by_scopus": 0, "eid": null, "pii": null, "open_access_url": "https://ieomsociety.org/proceedings/2023peru/36.pdf", "sources": [ { "db": "openalex", "stream": "UAV", "query_id": "UAV-1" } ], "streams": [ "UAV" ], "relevance_signals": [ "UAV" ], "auto_exclude_reason": null, "screening_status": "pending_human_screening", "screened_by": "auto-v1.0.0" }, { "id": "title:a simulated annealing algorithm for the vehicle routing problem with drones", "doi": null, "title": "A Simulated annealing algorithm for the vehicle routing problem with drones", "year": 2023, "authors": [ "Mahdi Moeini", "Oliver Wendt", "Marius Schummer" ], "first_author": "Mahdi Moeini", "venue": "HAL (Le Centre pour la Communication Scientifique Directe)", "volume": null, "pages": null, "type": "conference-paper", "language": "fr", "abstract": "International audience", "keywords": [ "Simulated annealing", "Vehicle routing problem", "Drone", "Computer science", "Routing (electronic design automation)", "Algorithm", "Mathematical optimization", "Computer network", "Mathematics" ], "cited_by_openalex": 0, "cited_by_scopus": 0, "eid": null, "pii": null, "open_access_url": "https://hal.science/hal-04297708", "sources": [ { "db": "openalex", "stream": "UAV", "query_id": "UAV-2" } ], "streams": [ "UAV" ], "relevance_signals": [ "UAV_NO_CTX" ], "auto_exclude_reason": "EC-4", "screening_status": "auto_excluded", "screened_by": "auto-v1.0.0" }, { "id": "doi:10.54097/jid.v2i1.5420", "doi": "10.54097/jid.v2i1.5420", "title": "Review on Combined Vehicle Routing Problem of Drones and Vehicles", "year": 2023, "authors": [ "Chaowen Zheng" ], "first_author": "Chaowen Zheng", "venue": "Journal of innovation and development", "volume": null, "pages": null, "type": "article", "language": "en", "abstract": "On the one hand, the rapid development of e-commerce has put forward higher requirements and standards for the logistics industry, which has forced the transformation of the terminal logistics delivery model; on the other hand, drones have developed fast in the field of logistics terminal delivery due to their high flexibility and high efficiency. This paper summarizes the domestic and foreign research status of vehicle route problem of four combined distribution modes, and points out the future research direction.", "keywords": [ "Drone", "Flexibility (engineering)", "Vehicle routing problem", "Terminal (telecommunication)", "Transport engineering", "Routing (electronic design automation)", "Transformation (genetics)", "Field (mathematics)", "Computer science", "Humanitarian Logistics", "Business", "Operations research" ], "cited_by_openalex": 0, "cited_by_scopus": 0, "eid": null, "pii": null, "open_access_url": "https://drpress.org/ojs/index.php/jid/article/download/5420/5243", "sources": [ { "db": "openalex", "stream": "UAV", "query_id": "UAV-2" } ], "streams": [ "UAV" ], "relevance_signals": [ "UAV_NO_CTX" ], "auto_exclude_reason": "EC-4-topic", "screening_status": "auto_excluded", "screened_by": "auto-v1.0.0" }, { "id": "title:vns algorithm for the solution of a mothership system in a drone vehicle routing problem in package ", "doi": null, "title": "VNS algorithm for the solution of a mothership system in a drone vehicle routing problem in package delivery and pickup", "year": 2023, "authors": [ "Lina Maria Higuera Ayala", "Luisa Fernanda Peña Jara" ], "first_author": "Lina Maria Higuera Ayala", "venue": "Universidad Industrial de Santander", "volume": null, "pages": null, "type": "dissertation", "language": "es", "abstract": "Este documento presenta un modelo matemático y una metodología de solución eficiente para el problema de ruteo de vehículos con drones (VDRP) en el cual el objetivo es cumplir la demanda de servicios de recogidas y entregas en una red minimizando el costo total de la operación. para esto el problema es formulado como programa lineal de enteros mixtos (MILP). El modelo formulado contempla la mayoría de las condiciones e interacciones del sistema de nave nodriza (vehículo-dron) como las restricciones que se generan por la forma de operación de cada uno de ellos, a saberse restricciones de capacidad de carga y rango de vuelo. Así mismo, se tienen en cuenta algunas suposiciones con el fin de simplificar un poco el problema. La metodología de solución se basa en la utilización de una extensión del clásico algoritmo de Clarke and Wright para resolver el VDRP con la cual se genera una solución inicial que sea buena y se busca su optimización mediante un algoritmo de búsqueda de vecindario variable (VNS). Se llevan a cabo algunos experimentos numéricos con el fin de medir el rendimiento de las heurísticas y dar respuesta al problema planteado considerando diferentes instancias. Al ser un tema poco explorado por la literatura se considera que este documento amplía tanto preguntas como respuestas en este sistema de nave nodriza que se considera aun innovador en la planificación de las tareas de entrega y recogida de paquetes.", "keywords": [ "Variable (mathematics)", "Artificiality" ], "cited_by_openalex": 0, "cited_by_scopus": 0, "eid": null, "pii": null, "open_access_url": "https://noesis.uis.edu.co/bitstreams/351a374c-87d7-4117-954d-8964230c06a6/download", "sources": [ { "db": "openalex", "stream": "UAV", "query_id": "UAV-2" } ], "streams": [ "UAV" ], "relevance_signals": [ "UAV" ], "auto_exclude_reason": null, "screening_status": "pending_human_screening", "screened_by": "auto-v1.0.0" }, { "id": "doi:10.48550/arxiv.2303.01543", "doi": "10.48550/arxiv.2303.01543", "title": "Decision-Oriented Learning with Differentiable Submodular Maximization for Vehicle Routing Problem", "year": 2023, "authors": [ "Guangyao Shi", "Pratap Tokekar" ], "first_author": "Guangyao Shi", "venue": "arXiv (Cornell University)", "volume": null, "pages": null, "type": "preprint", "language": "en", "abstract": "We study the problem of learning a function that maps context observations (input) to parameters of a submodular function (output). Our motivating case study is a specific type of vehicle routing problem, in which a team of Unmanned Ground Vehicles (UGVs) can serve as mobile charging stations to recharge a team of Unmanned Ground Vehicles (UAVs) that execute persistent monitoring tasks. {We want to learn the mapping from observations of UAV task routes and wind field to the parameters of a submodular objective function, which describes the distribution of landing positions of the UAVs .} Traditionally, such a learning problem is solved independently as a prediction phase without considering the downstream task optimization phase. However, the loss function used in prediction may be misaligned with our final goal, i.e., a good routing decision. Good performance in the isolated prediction phase does not necessarily lead to good decisions in the downstream routing task. In this paper, we propose a framework that incorporates task optimization as a differentiable layer in the prediction phase. Our framework allows end-to-end training of the prediction model without using engineered intermediate loss that is targeted only at the prediction performance. In the proposed framework, task optimization (submodular maximization) is made differentiable by introducing stochastic perturbations into deterministic algorithms (i.e., stochastic smoothing). We demonstrate the efficacy of the proposed framework using synthetic data. Experimental results of the mobile charging station routing problem show that the proposed framework can result in better routing decisions, e.g. the average number of UAVs recharged increases, compared to the prediction-optimization separate approach.", "keywords": [ "Submodular set function", "Computer science", "Routing (electronic design automation)", "Smoothing", "Mathematical optimization", "Task (project management)", "Maximization", "Vehicle routing problem", "Function (biology)", "Context (archaeology)", "Optimization problem", "Differentiable function" ], "cited_by_openalex": 0, "cited_by_scopus": 0, "eid": null, "pii": null, "open_access_url": "https://arxiv.org/pdf/2303.01543", "sources": [ { "db": "openalex", "stream": "UAV", "query_id": "UAV-2" } ], "streams": [ "UAV" ], "relevance_signals": [ "UAV_NO_CTX" ], "auto_exclude_reason": "EC-4-topic", "screening_status": "auto_excluded", "screened_by": "auto-v1.0.0" }, { "id": "title:iterative local methods based on second order cone programming for ship routing problem with two dro", "doi": null, "title": "Iterative Local Methods Based on Second-Order Cone Programming for Ship Routing Problem with Two Drones", "year": 2023, "authors": [ "Ning-Wen Yang", "Ning-Wen Yang", "真 山下", "Makoto Yamashita" ], "first_author": "Ning-Wen Yang", "venue": "Institutional Repositories DataBase (IRDB)", "volume": null, "pages": null, "type": "conference-paper", "language": "en", "abstract": null, "keywords": [ "Drone", "Routing (electronic design automation)", "Iterative method", "Cone (formal languages)", "Stability (learning theory)", "Control theory (sociology)" ], "cited_by_openalex": 0, "cited_by_scopus": 0, "eid": null, "pii": null, "open_access_url": "http://t2r2.star.titech.ac.jp/cgi-bin/publicationinfo.cgi?q_publication_content_number=CTT100891945", "sources": [ { "db": "openalex", "stream": "UAV", "query_id": "UAV-2" } ], "streams": [ "UAV" ], "relevance_signals": [ "UAV_NO_CTX" ], "auto_exclude_reason": "EC-4-topic", "screening_status": "auto_excluded", "screened_by": "auto-v1.0.0" }, { "id": "doi:10.1007/978-3-031-15412-6_15", "doi": "10.1007/978-3-031-15412-6_15", "title": "Two Echelon Vehicle Routing Problem for Disaster Mapping Process Using Cooperated Vehicles Assignment", "year": 2023, "authors": [ "Anak Agung Ngurah Perwira Redi", "Nandini N. Sekaringtyas", "Handina B. Astiana", "Rahmad Inca Liperda", "Anna Maria Sri Asih", "Bertha Maya Sopha" ], "first_author": "Anak Agung Ngurah Perwira Redi", "venue": "Ecoproduction", "volume": null, "pages": null, "type": "book-chapter", "language": "en", "abstract": null, "keywords": [ "Drone", "Solver", "Routing (electronic design automation)", "Schedule", "Computer science", "Vehicle routing problem", "Process (computing)", "Operations research", "Mathematical optimization", "Engineering", "Computer network", "Mathematics" ], "cited_by_openalex": 0, "cited_by_scopus": 0, "eid": null, "pii": null, "open_access_url": "https://doi.org/10.1007/978-3-031-15412-6_15", "sources": [ { "db": "openalex", "stream": "UAV", "query_id": "UAV-2" } ], "streams": [ "UAV" ], "relevance_signals": [ "UAV_NO_CTX" ], "auto_exclude_reason": "EC-4-topic", "screening_status": "auto_excluded", "screened_by": "auto-v1.0.0" }, { "id": "doi:10.1109/ieeeconf58110.2023.10520580", "doi": "10.1109/ieeeconf58110.2023.10520580", "title": "UAV Fleet Size Optimization in Disaster Management: A Comparative Analysis using HFFPSO", "year": 2023, "authors": [ "Indu Chandran", "Kizheppatt Vipin" ], "first_author": "Indu Chandran", "venue": null, "volume": null, "pages": null, "type": "conference-paper", "language": "en", "abstract": "Disasters, whether they are of natural origin or caused by human activities, can have devastating consequences on both human lives and infrastructure. In many cases, these disasters can render certain areas inaccessible to first responders due to safety concerns or challenging terrain. To address this challenge, researchers are exploring the potential of unmanned aerial vehicles, commonly known as drones, as a promising solution for disaster monitoring, assessment, and recovery efforts. Current relief operations depend on intelligent robotic agents to evaluate the damage, expedite timely rescues, and generate maps to assist the affected individuals. To effectively carry out these time-sensitive missions, it is crucial to deploy an appropriate number of reliable UAVs in the affected area. Furthermore, the adoption of efficient path planning techniques is essential to ensure swift coverage of the area. The goal of this research is to establish a well-balanced method for calculating the ideal quantity of unmanned aerial vehicles (UAVs) necessary to effectively survey a specific area while maximizing coverage within a predefined time frame. This involves developing a coverage trajectory through the processes of area decomposition and task assignment, utilizing a Hybrid Firefly-Particle Swarm Optimization (HFFPSO) approach. The study considers two distinct architectures with a homogeneous set of UAVs, and their performance is evaluated and compared in terms of mission latency. The study makes use of PX4-SITL flight stack in ROS framework, and the vehicle dynamics are visualized in the Gazebo physical environment. The research compares the effectiveness of the proposed approach to benchmark optimization strategies using comprehensive theoretical analysis and experimental evaluations.", "keywords": [ "Computer science", "Drone", "Search and rescue", "Benchmark (surveying)", "Terrain", "Task (project management)", "Trajectory", "Resilience (materials science)", "Particle swarm optimization", "Real-time computing", "Operations research", "Systems engineering" ], "cited_by_openalex": 0, "cited_by_scopus": 0, "eid": null, "pii": null, "open_access_url": "http://dx.doi.org/10.1109/ieeeconf58110.2023.10520580", "sources": [ { "db": "openalex", "stream": "UAV", "query_id": "UAV-2" } ], "streams": [ "UAV" ], "relevance_signals": [ "UAV_NO_CTX" ], "auto_exclude_reason": "EC-4-topic", "screening_status": "auto_excluded", "screened_by": "auto-v1.0.0" }, { "id": "doi:10.48550/arxiv.2303.04280", "doi": "10.48550/arxiv.2303.04280", "title": "Solving Vehicle Routing Problem for unmanned heterogeneous vehicle systems using Asynchronous Multi-Agent Architecture (A-teams)", "year": 2023, "authors": [ "Ramasamy, Subramanian", "Md Safwan Mondal", "Pranav A. Bhounsule" ], "first_author": "Ramasamy, Subramanian", "venue": "arXiv (Cornell University)", "volume": null, "pages": null, "type": "preprint", "language": "en", "abstract": "Fast moving but power hungry unmanned aerial vehicles (UAVs) can recharge on slow-moving unmanned ground vehicles (UGVs) to survey large areas in an effective and efficient manner. In order to solve this computationally challenging problem in a reasonable time, we created a two-level optimization heuristics. At the outer level, the UGV route is parameterized by few free parameters and at the inner level, the UAV route is solved by formulating and solving a vehicle routing problem with capacity constraints, time windows, and dropped visits. The UGV free parameters need to be optimized judiciously in order to create high quality solutions. We explore two methods for tuning the free UGV parameters: (1) a genetic algorithm, and (2) Asynchronous Multi-agent architecture (Ateams). The A-teams uses multiple agents to create, improve, and destroy solutions. The parallel asynchronous architecture enables A-teams to quickly optimize the parameters. Our results on test cases show that the A-teams produces similar solutions as genetic algorithm but with a speed up of 2-3 times.", "keywords": [ "Asynchronous communication", "Computer science", "Heuristics", "Routing (electronic design automation)", "Parameterized complexity", "Genetic algorithm", "Unmanned ground vehicle", "Vehicle routing problem", "Architecture", "Distributed computing", "Real-time computing", "Simulation" ], "cited_by_openalex": 0, "cited_by_scopus": 0, "eid": null, "pii": null, "open_access_url": "https://arxiv.org/pdf/2303.04280", "sources": [ { "db": "openalex", "stream": "UAV", "query_id": "UAV-2" } ], "streams": [ "UAV" ], "relevance_signals": [ "UAV_NO_CTX" ], "auto_exclude_reason": "EC-4-topic", "screening_status": "auto_excluded", "screened_by": "auto-v1.0.0" }, { "id": "doi:10.7232/jkiie.2023.49.1.063", "doi": "10.7232/jkiie.2023.49.1.063", "title": "Route Optimization in Nested Three Transportation Modes with Drones", "year": 2023, "authors": [ "Donghyun Kim", "Jihye Jung", "Inchan Choi" ], "first_author": "Donghyun Kim", "venue": "Journal of Korean Institute of Industrial Engineers", "volume": null, "pages": null, "type": "article", "language": "en", "abstract": "This study addresses the vehicle routing optimization problem with three nested transportation modes, consisting of ships, trucks, and drones. A typical nested-three-mode vehicle routing problem appears in delivery systems that include areas of sparsely scattered, varying-size islands. In the problem, drones play an important role in achieving high efficiency in the entire delivery system, of their high-speed accessibility. In this paper, we present a mathematical model for the problem and explore its potential usability as a heuristic. For the usability check-up, a geographic data set from the island area of Tongyeong in Korea is used in an illustrative scenario for disaster relief goods distribution. Our limited computational experiment shows promise in the proposed optimization model as a heuristic with a preset computation time limit when compared with greedy heuristics.", "keywords": [ "Heuristics", "Usability", "Computer science", "Routing (electronic design automation)", "Vehicle routing problem", "Heuristic", "Greedy algorithm", "Drone", "Truck", "Set (abstract data type)", "Mode (computer interface)", "Mathematical optimization" ], "cited_by_openalex": 0, "cited_by_scopus": 0, "eid": null, "pii": null, "open_access_url": "http://dx.doi.org/10.7232/jkiie.2023.49.1.063", "sources": [ { "db": "openalex", "stream": "UAV", "query_id": "UAV-2" } ], "streams": [ "UAV" ], "relevance_signals": [ "UAV_NO_CTX", "TRUCK_NO_CTX" ], "auto_exclude_reason": "EC-4-topic", "screening_status": "auto_excluded", "screened_by": "auto-v1.0.0" }, { "id": "title:real time solutions of robust energy aware unmanned aerial vehicle routing", "doi": null, "title": "REAL-TIME SOLUTIONS OF ROBUST ENERGY-AWARE UNMANNED AERIAL VEHICLE ROUTING", "year": 2023, "authors": [ "Cotney, Tyler W." ], "first_author": "Cotney, Tyler W.", "venue": "Calhoun: The Naval Postgraduate School Institutional Archive (Naval Postgraduate School)", "volume": null, "pages": null, "type": "dissertation", "language": null, "abstract": "The Marine Corps’ force design priorities call for a small mobile force capable of conducting expeditionary advanced basing operations (EABO). Unmanned aerial vehicles (UAV) are the perfect platform to support this mission, but the Marine Corps will need an energy-aware routing system capable of solving a system of multiple depots and UAVs while considering weather forecasts. Due to limited internal energy available on UAVs, units must carefully consider energy consumption rates when routing assets. Weather variance can significantly impact energy requirements and must be accounted for to produce a robust energy-feasible solution. Works by Jatho, Haller, and Won, in 2020, 2021, and 2022, respectively, laid the groundwork for this thesis model by creating a final multiple depot vehicle routing problem (MDVRP) that accounts for an ensemble weather forecast. Large instances of the model can take days to solve and cannot support real-time operations. This thesis reduces the computation time of the final model by several orders of magnitude to support real-time use at a practical scale. We achieve this by implementing several warm start techniques to improve overall solve time. We also created additional data and an automated scenario builder to quickly compare complex sustainment networks and emerging UAV technologies.", "keywords": [ "Routing (electronic design automation)", "Energy consumption", "Energy (signal processing)", "Computation", "Variance (accounting)", "Vehicle routing problem" ], "cited_by_openalex": 0, "cited_by_scopus": 0, "eid": null, "pii": null, "open_access_url": "https://hdl.handle.net/10945/72145", "sources": [ { "db": "openalex", "stream": "UAV", "query_id": "UAV-2" } ], "streams": [ "UAV" ], "relevance_signals": [ "UAV_NO_CTX" ], "auto_exclude_reason": "EC-4-topic", "screening_status": "auto_excluded", "screened_by": "auto-v1.0.0" }, { "id": "doi:10.1109/codit58514.2023.10284483", "doi": "10.1109/codit58514.2023.10284483", "title": "Van and Unmanned-Aerial-Vehicle Cooperative Routing Problem with Time Windows", "year": 2023, "authors": [ "Hongqi Li", "Zhuopeng Zhan", "Zhiqi Wang" ], "first_author": "Hongqi Li", "venue": "9th 2023 International Conference on Control Decision and Information Technologies Codit 2023", "volume": null, "pages": "269-274", "type": "conference-paper", "language": "en", "abstract": "Because of the significant real-world benefits of using cargo vans with unmanned aerial vehicles (UAVs) for deliveries, we define the van and unmanned-aerial-vehicle cooperative routing problem with time windows (VURP-TW). The VURP-TW is characterized by synchronization in route, classified customers, direct delivery, time windows, multiple vans, and multiple UAVs carried by each van. Customers along van routes, which are named satellites in this paper, are selected for vans dispatching or retrieving the carried UAVs. A satellite means a UAV launch/retrieval location. The synchronization in route enables UAVs launching from vans to return to paired vans at satellites instead of the depot. We develop mixed integer linear programming formulations to obtain optimal solutions for small- and medium-scale instances. We propose an adaptive large neighborhood search (ALNS) heuristic. The results of the computational experiments prove the effectiveness of the model and the heuristic.", "keywords": [ "Computer science", "Heuristic", "Synchronization (alternating current)", "Vehicle routing problem", "Drone", "Routing (electronic design automation)", "Integer programming", "Scale (ratio)", "Satellite", "Real-time computing", "Linear programming", "Computer network" ], "cited_by_openalex": 0, "cited_by_scopus": "0", "eid": "2-s2.0-85177452278", "pii": null, "open_access_url": "http://dx.doi.org/10.1109/codit58514.2023.10284483", "sources": [ { "db": "openalex", "stream": "UAV", "query_id": "UAV-2" }, { "db": "scopus", "stream": "UAV", "query_id": "UAV-2" } ], "streams": [ "UAV" ], "relevance_signals": [ "UAV_NO_CTX" ], "auto_exclude_reason": "EC-4-topic", "screening_status": "auto_excluded", "screened_by": "auto-v1.0.0" }, { "id": "doi:10.1109/icuas57906.2023.10156192", "doi": "10.1109/icuas57906.2023.10156192", "title": "Spatiotemporal VRP for Collision-free Multi-UAV Inspection Planning", "year": 2023, "authors": [ "Jaehan Im", "Youngjoo Kim" ], "first_author": "Jaehan Im", "venue": "2023 International Conference on Unmanned Aircraft Systems Icuas 2023", "volume": null, "pages": "529-536", "type": "conference-paper", "language": "en", "abstract": "The study proposes a method for planning optimal, collision-free routes for multiple UAVs for infrastructure inspections. The conventional approach of using the Vehicle Routing Problem (VRP) has proven to be inadequate due to the complexity of the routing problem and the difficulty in considering inter-vehicle conflict situations. To address these challenges, the Spatiotemporal VRP algorithm is introduced, which considers temporal occupation information over sparse inspection graphs. The proposed algorithm is capable of handling large-sized graphs with several hundreds of nodes and has been shown to be effective in finding feasible solutions without any failure through a series of Monte-Carlo experiments and a case study. The results of the case study demonstrate the potential of the proposed algorithm to be adapted to real-world scenarios and provide a promising solution for optimizing UAV inspection routes.", "keywords": [ "Vehicle routing problem", "Computer science", "Routing (electronic design automation)", "Collision", "Route planning", "Monte Carlo method", "Mathematical optimization", "Mathematics", "Computer network", "Computer security" ], "cited_by_openalex": 0, "cited_by_scopus": "0", "eid": "2-s2.0-85165642764", "pii": null, "open_access_url": "http://dx.doi.org/10.1109/icuas57906.2023.10156192", "sources": [ { "db": "openalex", "stream": "UAV", "query_id": "UAV-2" }, { "db": "scopus", "stream": "UAV", "query_id": "UAV-2" } ], "streams": [ "UAV" ], "relevance_signals": [ "UAV_NO_CTX" ], "auto_exclude_reason": "EC-4-topic", "screening_status": "auto_excluded", "screened_by": "auto-v1.0.0" }, { "id": "doi:10.1007/978-3-031-29129-6_21", "doi": "10.1007/978-3-031-29129-6_21", "title": "Fast Hierarchical Bi-criteria Multivehicle Flight Planner for UAV Surveillance Missions", "year": 2023, "authors": [ "José Reginaldo H. Carvalho", "Willians Cassiano de F. Abreu", "Anderson Gadelha Fontoura", "Antonio S. Rodrigues", "Carlos Edison Lopes", "Micila S. M. Pereira" ], "first_author": "José Reginaldo H. Carvalho", "venue": "Design science and innovation", "volume": null, "pages": null, "type": "conference-paper", "language": "en", "abstract": null, "keywords": [ "Disjoint sets", "Computer science", "Real-time computing", "Set (abstract data type)", "Collision avoidance", "Convex hull", "Routing (electronic design automation)", "Planner", "Regular polygon", "Collision", "Mathematics", "Computer network" ], "cited_by_openalex": 0, "cited_by_scopus": 0, "eid": null, "pii": null, "open_access_url": "https://doi.org/10.1007/978-3-031-29129-6_21", "sources": [ { "db": "openalex", "stream": "UAV", "query_id": "UAV-2" } ], "streams": [ "UAV" ], "relevance_signals": [ "UAV_NO_CTX" ], "auto_exclude_reason": "EC-4-topic", "screening_status": "auto_excluded", "screened_by": "auto-v1.0.0" }, { "id": "doi:10.2139/ssrn.4502412", "doi": "10.2139/ssrn.4502412", "title": "Optimal Routing and Aborting Planning of Uav-Truck with Multi-Source Random Shocks", "year": 2023, "authors": [ "Rui Qi Yan", "Qixin Zhang", "Xiaohui He", "Fanping Wei", "Yang Li" ], "first_author": "Rui Qi Yan", "venue": "SSRN Electronic Journal", "volume": null, "pages": null, "type": "preprint", "language": "en", "abstract": null, "keywords": [ "Truck", "Computer science", "Routing (electronic design automation)", "Computer network", "Engineering", "Automotive engineering" ], "cited_by_openalex": 0, "cited_by_scopus": 0, "eid": null, "pii": null, "open_access_url": "https://doi.org/10.2139/ssrn.4502412", "sources": [ { "db": "openalex", "stream": "UAV", "query_id": "UAV-2" } ], "streams": [ "UAV" ], "relevance_signals": [ "UAV_NO_CTX", "TRUCK_NO_CTX" ], "auto_exclude_reason": "EC-4-topic", "screening_status": "auto_excluded", "screened_by": "auto-v1.0.0" }, { "id": "doi:10.48550/arxiv.2308.06973", "doi": "10.48550/arxiv.2308.06973", "title": "Routing Recovery for UAV Networks with Deliberate Attacks: A Reinforcement Learning based Approach", "year": 2023, "authors": [ "Sijie He", "Ziye Jia", "Chao Dong", "Wang, Wei", "Yilu Cao", "Yang Yang", "Qihui Wu" ], "first_author": "Sijie He", "venue": "arXiv (Cornell University)", "volume": null, "pages": null, "type": "preprint", "language": "en", "abstract": "The unmanned aerial vehicle (UAV) network is popular these years due to its various applications. In the UAV network, routing is significantly affected by the distributed network topology, leading to the issue that UAVs are vulnerable to deliberate damage. Hence, this paper focuses on the routing plan and recovery for UAV networks with attacks. In detail, a deliberate attack model based on the importance of nodes is designed to represent enemy attacks. Then, a node importance ranking mechanism is presented, considering the degree of nodes and link importance. However, it is intractable to handle the routing problem by traditional methods for UAV networks, since link connections change with the UAV availability. Hence, an intelligent algorithm based on reinforcement learning is proposed to recover the routing path when UAVs are attacked. Simulations are conducted and numerical results verify the proposed mechanism performs better than other referred methods.", "keywords": [ "Reinforcement learning", "Computer science", "Routing (electronic design automation)", "Node (physics)", "Computer network", "Adversary", "Routing domain", "Policy-based routing", "Distributed computing", "Path (computing)", "Static routing", "Routing protocol" ], "cited_by_openalex": 0, "cited_by_scopus": 0, "eid": null, "pii": null, "open_access_url": "https://arxiv.org/pdf/2308.06973", "sources": [ { "db": "openalex", "stream": "UAV", "query_id": "UAV-2" } ], "streams": [ "UAV" ], "relevance_signals": [ "UAV_NO_CTX" ], "auto_exclude_reason": "EC-4-topic", "screening_status": "auto_excluded", "screened_by": "auto-v1.0.0" }, { "id": "doi:10.1109/cdics61497.2023.00013", "doi": "10.1109/cdics61497.2023.00013", "title": "Power-Aware Path Planning for Vehicle-Assisted Heterogeneous UAVs in Mobile Crowd Sensing", "year": 2023, "authors": [ "Zixiao Zhou", "Liang Liu", "Wenbin Zhai", "Jiancheng Song", "Yulei Liu" ], "first_author": "Zixiao Zhou", "venue": null, "volume": null, "pages": null, "type": "conference-paper", "language": "en", "abstract": "With the development of microelectronics in recent years, the performance of unmanned aerial vehicles (UAVs) has been improving continuously. Modern rotary-wing UAVs possess high maneuverability and agility, making them widely applied in mobile crowd sensing (MCS). In order to solve the shortcoming of limited battery capacity and expand the mission area of UAVs, the ground vehicle is introduced as a platform for transportation, launch, recycle, and recharging UAVs. However, existing studies only consider the case of vehicle-assisted homogeneous UAVs. In reality, due to different sensing requirements and UAV hardware, vehicles may need to assist heterogeneous UAVs with different sensors, flight speeds, and battery capacities. In this paper, we formalize and study the vehicle-assisted heterogeneous UAVs path planning problem, and decompose it into three sub-problems, namely detection point allocation, UAV path planning, and vehicle route planning. In order to solve the above problems, we proposes an efficient power-aware path planning algorithm for vehicle-assisted multi-heterogeneous-UAV (VHUPA). In VHUPA, we first design the genetic algorithm to find the allocation scheme of the detection points, then plan flight paths of UAVs at each parking spot according to the allocation scheme, and finally optimize the route of the ground vehicle according to the power consumption of UAVs to minimize the waiting time for charging. Performance evaluation demonstrates that time cost of the VHUPA solution is reduced by more than 21% compared with the existing algorithm.", "keywords": [ "Computer science", "Motion planning", "Path (computing)", "Power (physics)", "Mobile robot", "Real-time computing", "Computer network", "Artificial intelligence", "Robot" ], "cited_by_openalex": 0, "cited_by_scopus": 0, "eid": null, "pii": null, "open_access_url": "https://doi.org/10.1109/cdics61497.2023.00013", "sources": [ { "db": "openalex", "stream": "UAV", "query_id": "UAV-2" } ], "streams": [ "UAV" ], "relevance_signals": [ "UAV_NO_CTX" ], "auto_exclude_reason": "EC-4-topic", "screening_status": "auto_excluded", "screened_by": "auto-v1.0.0" }, { "id": "doi:10.48550/arxiv.2309.09942", "doi": "10.48550/arxiv.2309.09942", "title": "OptiRoute: A Heuristic-assisted Deep Reinforcement Learning Framework for UAV-UGV Collaborative Route Planning", "year": 2023, "authors": [ "Md Safwan Mondal", "Ramasamy, Subramanian", "Pranav A. Bhounsule" ], "first_author": "Md Safwan Mondal", "venue": "arXiv (Cornell University)", "volume": null, "pages": null, "type": "preprint", "language": "en", "abstract": "Unmanned aerial vehicles (UAVs) are capable of surveying expansive areas, but their operational range is constrained by limited battery capacity. The deployment of mobile recharging stations using unmanned ground vehicles (UGVs) significantly extends the endurance and effectiveness of UAVs. However, optimizing the routes of both UAVs and UGVs, known as the UAV-UGV cooperative routing problem, poses substantial challenges, particularly with respect to the selection of recharging locations. Here in this paper, we leverage reinforcement learning (RL) for the purpose of identifying optimal recharging locations while employing constraint programming to determine cooperative routes for the UAV and UGV. Our proposed framework is then benchmarked against a baseline solution that employs Genetic Algorithms (GA) to select rendezvous points. Our findings reveal that RL surpasses GA in terms of reducing overall mission time, minimizing UAV-UGV idle time, and mitigating energy consumption for both the UAV and UGV. These results underscore the efficacy of incorporating heuristics to assist RL, a method we refer to as heuristics-assisted RL, in generating high-quality solutions for intricate routing problems.", "keywords": [ "Reinforcement learning", "Computer science", "Unmanned ground vehicle", "Software deployment", "Heuristics", "Leverage (statistics)", "Real-time computing", "Artificial intelligence" ], "cited_by_openalex": 0, "cited_by_scopus": 0, "eid": null, "pii": null, "open_access_url": "https://arxiv.org/pdf/2309.09942", "sources": [ { "db": "openalex", "stream": "UAV", "query_id": "UAV-2" } ], "streams": [ "UAV" ], "relevance_signals": [ "UAV_NO_CTX" ], "auto_exclude_reason": "EC-4-topic", "screening_status": "auto_excluded", "screened_by": "auto-v1.0.0" }, { "id": "doi:10.48550/arxiv.2303.02315", "doi": "10.48550/arxiv.2303.02315", "title": "Optimizing Fuel-Constrained UAV-UGV Routes for Large Scale Coverage: Bilevel Planning in Heterogeneous Multi-Agent Systems", "year": 2023, "authors": [ "Md Safwan Mondal", "Ramasamy, Subramanian", "Pranav A. Bhounsule" ], "first_author": "Md Safwan Mondal", "venue": "arXiv (Cornell University)", "volume": null, "pages": null, "type": "preprint", "language": "en", "abstract": "Fast moving unmanned aerial vehicles (UAVs) are well suited for aerial surveillance, but are limited by their battery capacity. To increase their endurance UAVs can be refueled on slow moving unmanned ground vehicles (UGVs). The cooperative routing of UAV-UGV multi-agent system to survey vast regions within their speed and fuel constraints is a computationally challenging problem, but can be simplified with heuristics. Here we present multiple heuristics to enable feasible and sufficiently optimal solutions to the problem. Using the UAV fuel limits and the minimum set cover algorithm, the UGV refueling stops are determined. These refueling stops enable the allocation of mission points to the UAV and UGV. A standard traveling salesman formulation and a vehicle routing formulation with time windows, dropped visits, and capacity constraints is used to solve for the UGV and UAV route, respectively. Experimental validation on a small-scale testbed (http://tiny.cc/8or8vz) underscores the effectiveness of our multi-agent approach.", "keywords": [ "Testbed", "Heuristics", "Computer science", "Unmanned ground vehicle", "Travelling salesman problem", "Routing (electronic design automation)", "Real-time computing", "Scale (ratio)", "Vehicle routing problem", "Simulation", "Artificial intelligence", "Embedded system" ], "cited_by_openalex": 0, "cited_by_scopus": 0, "eid": null, "pii": null, "open_access_url": "https://arxiv.org/pdf/2303.02315", "sources": [ { "db": "openalex", "stream": "UAV", "query_id": "UAV-2" } ], "streams": [ "UAV" ], "relevance_signals": [ "UAV_NO_CTX" ], "auto_exclude_reason": "EC-4-topic", "screening_status": "auto_excluded", "screened_by": "auto-v1.0.0" }, { "id": "doi:10.4271/13-04-02-0014", "doi": "10.4271/13-04-02-0014", "title": "Optimization of Takeaway Delivery Based on Large Neighborhood Search Algorithm", "year": 2023, "authors": [ "Qianqian Shao", "Aodi Wu", "Haobo (Rex) Sun", "Zhi Chen", "Weiqi Gou", "Yuyan He" ], "first_author": "Qianqian Shao", "venue": "SAE International journal of sustainable transportation, energy, environment & policy", "volume": null, "pages": null, "type": "article", "language": "en", "abstract": "The drone logistics distribution method, with its small size, quick delivery, and zero-touch, has progressively entered the mainstream of development due to the global epidemic and the rapidly developing global emerging logistics business. In our investigation, a drone and a delivery man worked together to complete the delivery order to a customer’s home as quickly as possible. We realize the combined delivery network between drones and delivery men and focus on the connection and scheduling between drones and delivery men using existing facilities such as ground airports, unmanned stations, delivery men, and drones. Based on the dynamic-vehicle routing problem model, the establishment of a delivery man and drone with a hybrid model, in order to solve the tarmac unmanned aerial vehicle for take-out delivery scheduling difficulties, linking to the delivery man and an adaptive large neighborhood search algorithm solves the model. The objective function is to reduce customer waiting time. The average delivery time for orders was subsequently shortened thanks to the optimization of the cooperative delivery solution for drones and delivery personnel.", "keywords": [ "Drone", "Computer science", "Scheduling (production processes)", "Vehicle routing problem", "Delivery Performance", "Operations research", "Routing (electronic design automation)", "Engineering", "Computer network", "Operations management", "Industrial engineering" ], "cited_by_openalex": 0, "cited_by_scopus": 0, "eid": null, "pii": null, "open_access_url": "https://doi.org/10.4271/13-04-02-0014", "sources": [ { "db": "openalex", "stream": "UAV", "query_id": "UAV-2" } ], "streams": [ "UAV" ], "relevance_signals": [ "UAV_NO_CTX" ], "auto_exclude_reason": "EC-4-topic", "screening_status": "auto_excluded", "screened_by": "auto-v1.0.0" }, { "id": "doi:10.1109/eebda56825.2023.10090846", "doi": "10.1109/eebda56825.2023.10090846", "title": "Research on emergency supplies distribution in 5G network environment based on K-class mean value algorithm", "year": 2023, "authors": [ "Ziyu Sun", "Zihao Jia", "Weihang Han" ], "first_author": "Ziyu Sun", "venue": null, "volume": null, "pages": null, "type": "conference-paper", "language": "en", "abstract": "In order to reduce the impact of emergencies on people's production and life, it is an important issue to study the distribution routes of emergency supplies to quickly improve the efficiency of emergency supplies distribution. At present, with the continuous development of 5G network environment, \"vehicle-drone\" joint delivery will continue to replace the vehicle delivery mode. In this paper By building mathematical model, using k-mean clustering algorithm This paper investigates the route problem of tandem \"vehicle-drone\" distribution, which improves the efficiency of emergency material distribution and effectively solves the problem of adverse effects of complex road conditions on material distribution.", "keywords": [ "Cluster analysis", "Computer science", "Drone", "Mode (computer interface)", "Class (philosophy)", "Distribution (mathematics)", "Transport engineering", "Operations research", "Engineering", "Artificial intelligence", "Mathematics" ], "cited_by_openalex": 0, "cited_by_scopus": 0, "eid": null, "pii": null, "open_access_url": "http://dx.doi.org/10.1109/eebda56825.2023.10090846", "sources": [ { "db": "openalex", "stream": "UAV", "query_id": "UAV-2" } ], "streams": [ "UAV" ], "relevance_signals": [ "UAV_NO_CTX" ], "auto_exclude_reason": "EC-4-topic", "screening_status": "auto_excluded", "screened_by": "auto-v1.0.0" }, { "id": "doi:10.24415/9789400604537-012", "doi": "10.24415/9789400604537-012", "title": "CHAPTER 8 Applying GTSP-algorithms in maritime patrolling missions that require mutual support", "year": 2023, "authors": [ "Martijn van Ee", "Geraldo Mulato de Lima Filho", "Herman Monsuur" ], "first_author": "Martijn van Ee", "venue": "Leiden University Press eBooks", "volume": null, "pages": null, "type": "book-chapter", "language": "en", "abstract": "The goal of a maritime patrol is to detect, locate and identify (opposing) vessels.In some of these missions, the patrol aircraft may need the support of another aircraft to counter a possible threat.This support may consist of using capabilities of the other aircraft, such as its sensors, communications or its weapons.Our work aims to optimise maritime patrol routes for two or more drones, while providing the possibility of mutual support.We show that this routing problem including mutual support can be modelled as a generalised travelling salesman problem (GTSP).We investigate the costs of requiring mutual support and compare it to the costs of using separate drones that detect and identify vessels in the area of operations.", "keywords": [ "Patrolling", "Computer science", "Algorithm", "Geography" ], "cited_by_openalex": 0, "cited_by_scopus": 0, "eid": null, "pii": null, "open_access_url": "https://www.degruyterbrill.com/document/doi/10.24415/9789400604537-012/pdf", "sources": [ { "db": "openalex", "stream": "UAV", "query_id": "UAV-2" } ], "streams": [ "UAV" ], "relevance_signals": [ "UAV_NO_CTX" ], "auto_exclude_reason": "EC-4-topic", "screening_status": "auto_excluded", "screened_by": "auto-v1.0.0" }, { "id": "doi:10.48550/arxiv.2311.13489", "doi": "10.48550/arxiv.2311.13489", "title": "Large-scale Package Deliveries with Unmanned Aerial Vehicles using Collective Learning", "year": 2023, "authors": [ "Arun Narayanan", "Evangelos Pournaras", "Pedro H. J. Nardelli" ], "first_author": "Arun Narayanan", "venue": "arXiv (Cornell University)", "volume": null, "pages": null, "type": "preprint", "language": "en", "abstract": "Unmanned aerial vehicles (UAVs) have significant practical advantages for delivering packages, and many logistics companies have begun deploying UAVs for commercial package deliveries. To deliver packages quickly and cost-effectively, the routes taken by UAVs from depots to customers must be optimized. This route optimization problem, a type of capacitated vehicle routing problem, has recently attracted considerable research interest. However, few papers have dealt with large-scale deliveries, where the number of customers exceed 1000. We present an innovative, practical package delivery model wherein multiple UAVs deliver multiple packages to customers who are compensated for late deliveries. Further, we propose an innovative methodology that combines a new plan-generation algorithm with a collective-learning heuristic to quickly determine cost-effective paths of UAVs even for large-scale deliveries up to 10000 customers. Specialized settings are applied to a collective-learning heuristic, the Iterative Economic Planning and Optimized Selections (I-EPOS) in order to coordinate collective actions of the UAVs. To demonstrate our methodology, we applied our highly flexible approach to a depot in Heathrow Airport, London. We show that a coordinated approach, in which the UAVs collectively determine their flight paths, leads to lower operational costs than an uncoordinated approach. Further, the coordinated approach enables large-scale package deliveries.", "keywords": [ "Computer science", "Heuristic", "Drone", "Scale (ratio)", "Plan (archaeology)", "Vehicle routing problem", "Routing (electronic design automation)", "Operations research", "Artificial intelligence", "Engineering", "Computer network" ], "cited_by_openalex": 0, "cited_by_scopus": 0, "eid": null, "pii": null, "open_access_url": "https://arxiv.org/pdf/2311.13489", "sources": [ { "db": "openalex", "stream": "UAV", "query_id": "UAV-2" } ], "streams": [ "UAV" ], "relevance_signals": [ "UAV" ], "auto_exclude_reason": null, "screening_status": "pending_human_screening", "screened_by": "auto-v1.0.0" }, { "id": "doi:10.48550/arxiv.2310.13324", "doi": "10.48550/arxiv.2310.13324", "title": "ColAG: A Collaborative Air-Ground Framework for Perception-Limited UGVs' Navigation", "year": 2023, "authors": [ "Zhehan Li", "Mao, Rui", "Nanhe Chen", "Chao Xu", "Gao, Fei", "Yanjun Cao" ], "first_author": "Zhehan Li", "venue": "arXiv (Cornell University)", "volume": null, "pages": null, "type": "preprint", "language": "en", "abstract": "Perception is necessary for autonomous navigation in an unknown area crowded with obstacles. It's challenging for a robot to navigate safely without any sensors that can sense the environment, resulting in a $\\textit{blind}$ robot, and becomes more difficult when comes to a group of robots. However, it could be costly to equip all robots with expensive perception or SLAM systems. In this paper, we propose a novel system named $\\textbf{ColAG}$, to solve the problem of autonomous navigation for a group of $\\textit{blind}$ UGVs by introducing cooperation with one UAV, which is the only robot that has full perception capabilities in the group. The UAV uses SLAM for its odometry and mapping while sharing this information with UGVs via limited relative pose estimation. The UGVs plan their trajectories in the received map and predict possible failures caused by the uncertainty of its wheel odometry and unknown risky areas. The UAV dynamically schedules waypoints to prevent UGVs from collisions, formulated as a Vehicle Routing Problem with Time Windows to optimize the UAV's trajectories and minimize time when UGVs have to wait to guarantee safety. We validate our system through extensive simulation with up to 7 UGVs and real-world experiments with 3 UGVs.", "keywords": [ "Odometry", "Robot", "Computer science", "Perception", "Artificial intelligence", "Routing (electronic design automation)", "Real-time computing", "Plan (archaeology)", "Visual odometry", "Computer vision", "Simulation", "Mobile robot" ], "cited_by_openalex": 0, "cited_by_scopus": 0, "eid": null, "pii": null, "open_access_url": "https://arxiv.org/pdf/2310.13324", "sources": [ { "db": "openalex", "stream": "UAV", "query_id": "UAV-2" } ], "streams": [ "UAV" ], "relevance_signals": [ "UAV_NO_CTX" ], "auto_exclude_reason": "EC-4-topic", "screening_status": "auto_excluded", "screened_by": "auto-v1.0.0" }, { "id": "doi:10.53866/jimi.v3i3.249", "doi": "10.53866/jimi.v3i3.249", "title": "ANALISIS DAN SIMULASI KECEPATAN LALU-LINTAS PADA SIMPANG JALAN MENGGUNAKAN PERANGKAT LUNAK PTV VISSIM STUDENT VERSION (STUDI KASUS: SIMPANG BERGOTA, KOTA SEMARANG)", "year": 2023, "authors": [ "Ryan Hasnan Harahap", "Bambang Haryadi" ], "first_author": "Ryan Hasnan Harahap", "venue": "Citizen Jurnal Ilmiah Multidisiplin Indonesia", "volume": null, "pages": null, "type": "article", "language": "en", "abstract": "One of the intersections that has a significant role in the city of Semarang is the Bergota Intersection. The level of traffic density and crowds at this point of the road is quite significant because it is a route from Jalan Pandanaran and towards the Central Java Regional Police, which passes Jalan Kyai Saleh—a transportation movement system of various types and characteristics of the traffic that occurs. The method used in this study is observation by collecting data as input at PTV Vissim, such as geometric data at intersections, vehicle routes, composition, vehicle volume, vehicle speed, and traffic time cycle using the Traffic Counting method at Bergota Intersections based on analysis of recorded results. The drone video then enumerates the traffic flow by counting the vehicles passing through the survey point. Modeling and simulation results using PTV Vissim in the existing conditions at 11:10-11:20 at the Bergota Intersection using vehicle volume data taken from the field show that the highest speed is 20.27 Km/hour on Jalan Minister Supeno. The lowest speed is 14.59 km/hour on Jalan Kyai Saleh Bergota. Modeling and simulation results using PTV Vissim in the existing conditions at 11.10-11.20 Simpang Bergota using vehicle volume data taken from the field show that the highest delay is 41.19 seconds on Jalan Kyai Saleh Bergota - Jalan Kyai Saleh Veteran. At the same time, the lowest delay is 5.59 seconds on Jalan Dr. Kariadi – Jalan Kyai Saleh Bergota.", "keywords": [ "VisSim", "Traffic volume", "Intersection (aeronautics)", "Transport engineering", "Traffic flow (computer networking)", "Travel time", "Computer science", "Geography", "Mathematics", "Engineering", "Computer security" ], "cited_by_openalex": 0, "cited_by_scopus": 0, "eid": null, "pii": null, "open_access_url": "https://journal.das-institute.com/index.php/citizen-journal/article/download/249/229", "sources": [ { "db": "openalex", "stream": "UAV", "query_id": "UAV-2" } ], "streams": [ "UAV" ], "relevance_signals": [ "UAV_NO_CTX" ], "auto_exclude_reason": "EC-4-topic", "screening_status": "auto_excluded", "screened_by": "auto-v1.0.0" }, { "id": "doi:10.48550/arxiv.2310.07729", "doi": "10.48550/arxiv.2310.07729", "title": "Energy-Aware Routing Algorithm for Mobile Ground-to-Air Charging", "year": 2023, "authors": [ "Bill Cai", "Lu, Fei", "Lifeng Zhou" ], "first_author": "Bill Cai", "venue": "arXiv (Cornell University)", "volume": null, "pages": null, "type": "preprint", "language": "en", "abstract": "We investigate the problem of energy-constrained planning for a cooperative system of an Unmanned Ground Vehicles (UGV) and an Unmanned Aerial Vehicle (UAV). In scenarios where the UGV serves as a mobile base to ferry the UAV and as a charging station to recharge the UAV, we formulate a novel energy-constrained routing problem. To tackle this problem, we design an energy-aware routing algorithm, aiming to minimize the overall mission duration under the energy limitations of both vehicles. The algorithm first solves a Traveling Salesman Problem (TSP) to generate a guided tour. Then, it employs the Monte-Carlo Tree Search (MCTS) algorithm to refine the tour and generate paths for the two vehicles. We evaluate the performance of our algorithm through extensive simulations and a proof-of-concept experiment. The results show that our algorithm consistently achieves near-optimal mission time and maintains fast running time across a wide range of problem instances.", "keywords": [ "Computer science", "Travelling salesman problem", "Routing (electronic design automation)", "Unmanned ground vehicle", "Range (aeronautics)", "Energy (signal processing)", "Real-time computing", "Monte Carlo tree search", "Algorithm", "Mobile robot", "Monte Carlo method", "Mathematical optimization" ], "cited_by_openalex": 0, "cited_by_scopus": 0, "eid": null, "pii": null, "open_access_url": "https://arxiv.org/pdf/2310.07729", "sources": [ { "db": "openalex", "stream": "UAV", "query_id": "UAV-2" } ], "streams": [ "UAV" ], "relevance_signals": [ "UAV_NO_CTX" ], "auto_exclude_reason": "EC-4-topic", "screening_status": "auto_excluded", "screened_by": "auto-v1.0.0" }, { "id": "doi:10.48550/arxiv.2307.04328", "doi": "10.48550/arxiv.2307.04328", "title": "Where to Drop Sensors from Aerial Robots to Monitor a Surface-Level Phenomenon?", "year": 2023, "authors": [ "Chak Lam Shek", "Guangyao Shi", "Asghar, Ahmad Bilal", "Pratap Tokekar" ], "first_author": "Chak Lam Shek", "venue": "arXiv (Cornell University)", "volume": null, "pages": null, "type": "preprint", "language": "en", "abstract": "We consider the problem of routing a team of energy-constrained Unmanned Aerial Vehicles (UAVs) to drop unmovable sensors for monitoring a task area in the presence of stochastic wind disturbances. In prior work on mobile sensor routing problems, sensors and their carrier are one integrated platform, and sensors are assumed to be able to take measurements at exactly desired locations. By contrast, airdropping the sensors onto the ground can introduce stochasticity in the landing locations of the sensors. We focus on addressing this stochasticity in sensor locations from the path-planning perspective. Specifically, we formulate the problem (Multi-UAV Sensor Drop) as a variant of the Submodular Team Orienteering Problem with one additional constraint on the number of sensors on each UAV. The objective is to maximize the Mutual Information between the phenomenon at Points of Interest (PoIs) and the measurements that sensors will take at stochastic locations. We show that such an objective is computationally expensive to evaluate. To tackle this challenge, we propose a surrogate objective with a closed-form expression based on the expected mean and expected covariance of the Gaussian Process. We propose a heuristic algorithm to solve the optimization problem with the surrogate objective. The formulation and the algorithms are validated through extensive simulations.", "keywords": [ "Computer science", "Heuristic", "Submodular set function", "Mathematical optimization", "Gaussian process", "Real-time computing", "Focus (optics)", "Gaussian", "Artificial intelligence", "Mathematics" ], "cited_by_openalex": 0, "cited_by_scopus": 0, "eid": null, "pii": null, "open_access_url": "https://arxiv.org/pdf/2307.04328", "sources": [ { "db": "openalex", "stream": "UAV", "query_id": "UAV-2" } ], "streams": [ "UAV" ], "relevance_signals": [ "UAV_NO_CTX" ], "auto_exclude_reason": "EC-4-topic", "screening_status": "auto_excluded", "screened_by": "auto-v1.0.0" }, { "id": "doi:10.1109/icacite57410.2023.10182733", "doi": "10.1109/icacite57410.2023.10182733", "title": "Potential of Vehicular Ad-Hoc Network for use in Developing a Drone-Based Delivery System", "year": 2023, "authors": [ "Ramakrishnan Raman", "Zatin Gupta", "Rajesh Singh", "Unnati A. Joshi", "Sanjay C. P", "Maddikera Kalyan Chakravarthi" ], "first_author": "Ramakrishnan Raman", "venue": "2023 3rd International Conference on Advance Computing and Innovative Technologies in Engineering Icacite 2023", "volume": null, "pages": "897-902", "type": "conference-paper", "language": "en", "abstract": "Connectivity between on-the-ground infrastructure and in-flight drones is made possible by ad hoc networks that fly between them. Using aerial items like unmanned aerial vehicles and drones, researchers in this field are looking at how they may best integrate their services and advantages into data-centric Internet of Things applications. It is one of the most prominent areas of study in aerial ad hoc networks due to the increasing commercial relevance of drone-centric flying networks. Communication between mobile devices and a central base station is heavily relied upon in the relevant literature. As such, this study presents a distributed routing paradigm for the Internet of Things that prioritizes service quality and relies on drone assistance (D-IoT). Probabilistic models of mobility and parameters for aerial drones are developed with a particular emphasis on incredibly dynamic flying ad hoc networks. It’s a whole proactive routing system has been built on these drone-centric models. As a result, a brain interfering system has been used to help people make reliable and fruitful travel plans. The advantages of the proposed unmanned aerial vehicles (UAVs routing approach are confirmed by a thorough measuring performance. Several system evaluation criteria for mobile advertising networks show that D-IoT is superior to region-based approaches.", "keywords": [ "Drone", "Wireless ad hoc network", "Vehicular ad hoc network", "Computer science", "Mobile ad hoc network", "Computer network", "Telecommunications", "Wireless", "Network packet" ], "cited_by_openalex": 1, "cited_by_scopus": "0", "eid": "2-s2.0-85178256749", "pii": null, "open_access_url": "http://dx.doi.org/10.1109/icacite57410.2023.10182733", "sources": [ { "db": "openalex", "stream": "UAV", "query_id": "UAV-3" }, { "db": "scopus", "stream": "UAV", "query_id": "UAV-3" } ], "streams": [ "UAV" ], "relevance_signals": [ "UAV_NO_CTX" ], "auto_exclude_reason": "EC-4-topic", "screening_status": "auto_excluded", "screened_by": "auto-v1.0.0" }, { "id": "doi:10.1007/978-3-031-28870-8_8", "doi": "10.1007/978-3-031-28870-8_8", "title": "Mathematical Models for Scheduling Electric Vertical Take-Off and Landing (eVTOL) Vehicles at Urban Air Mobility Vertiports", "year": 2023, "authors": [ "Julián Alberto Espejo-Díaz", "Edgar H. Alfonso-Lizarazo", "Jairo R. Montoya‐Torres" ], "first_author": "Julián Alberto Espejo-Díaz", "venue": "Lecture notes in operations research", "volume": "Part F3791", "pages": "101-111", "type": "book-chapter", "language": "en", "abstract": null, "keywords": [ "Bottleneck", "Aviation", "Taxis", "Touchdown", "Air traffic control", "Scheduling (production processes)", "Separation (statistics)", "Transport engineering", "Engineering", "Computer science", "Aerospace engineering", "Geography" ], "cited_by_openalex": 1, "cited_by_scopus": "0", "eid": "2-s2.0-85212506483", "pii": null, "open_access_url": "https://doi.org/10.1007/978-3-031-28870-8_8", "sources": [ { "db": "openalex", "stream": "UAV", "query_id": "UAV-3" }, { "db": "scopus", "stream": "UAV", "query_id": "UAV-3" } ], "streams": [ "UAV" ], "relevance_signals": [ "UAV_NO_CTX" ], "auto_exclude_reason": "EC-4-topic", "screening_status": "auto_excluded", "screened_by": "auto-v1.0.0" }, { "id": "doi:10.5281/zenodo.8068122", "doi": "10.5281/zenodo.8068122", "title": "DRONEX: A Secure Drone-Based Delivery System", "year": 2023, "authors": [ "D Jyothi", "J Sheik Mohamed", "M Kalpana Devi" ], "first_author": "D Jyothi", "venue": "Zenodo (CERN European Organization for Nuclear Research)", "volume": null, "pages": null, "type": "article", "language": "en", "abstract": "In the present scenario, the government and business services are adapted in a fast manner. In this concern, the various mechanisms are incorporated with different technologies in order to bring fastness in executing the services. Though many technologies are present in the current trend, still few flaws have occurred with every technology. Even then, drones are used in many applications such as monitoring natural disasters monitoring and the entertainment industry. In the same way, it is proposed the framework for delivering the product or Intellectual property based on the request made by the customer or user in a secure manner.", "keywords": [ "Drone", "Computer security", "Computer science", "Biology" ], "cited_by_openalex": 0, "cited_by_scopus": 0, "eid": null, "pii": null, "open_access_url": "https://doi.org/10.5281/zenodo.8068122", "sources": [ { "db": "openalex", "stream": "UAV", "query_id": "UAV-3" } ], "streams": [ "UAV" ], "relevance_signals": [ "UAV_NO_CTX" ], "auto_exclude_reason": "EC-4-topic", "screening_status": "auto_excluded", "screened_by": "auto-v1.0.0" }, { "id": "doi:10.4050/f-0079-2023-0124", "doi": "10.4050/f-0079-2023-0124", "title": "Vertiport Passenger Security Standard (VPSS)", "year": 2023, "authors": [ "Grant Young", "Isam Saleh" ], "first_author": "Grant Young", "venue": null, "volume": null, "pages": null, "type": "conference-paper", "language": null, "abstract": "This technical paper will propose solutions for developing and implementing biometric driven screening processes for both passengers and employees utilizing or working in Vertiport secured areas. We will explore how biometric-based Vertiport Passenger Security can overcome the limitations of existing airport screening processes by improving accuracy, reducing wait times, and enhancing the overall passenger experience. No definitive policies or procedures have been developed to date by regulators.", "keywords": [ "Airport security", "Biometrics", "Work (physics)", "Passenger transport", "Identification (biology)" ], "cited_by_openalex": 0, "cited_by_scopus": 0, "eid": null, "pii": null, "open_access_url": "https://doi.org/10.4050/f-0079-2023-0124", "sources": [ { "db": "openalex", "stream": "UAV", "query_id": "UAV-3" } ], "streams": [ "UAV" ], "relevance_signals": [ "UAV_NO_CTX" ], "auto_exclude_reason": "EC-4-topic", "screening_status": "auto_excluded", "screened_by": "auto-v1.0.0" }, { "id": "doi:10.4050/f-0079-2023-18130", "doi": "10.4050/f-0079-2023-18130", "title": "Vertiport Passenger Security Standard (VPSS)", "year": 2023, "authors": [ "Isam Saleh", "Grant Young" ], "first_author": "Isam Saleh", "venue": null, "volume": null, "pages": null, "type": "conference-paper", "language": "en", "abstract": "This technical paper will propose solutions for developing and implementing biometric driven screening processes for both passengers and employees utilizing or working in Vertiport secured areas. We will explore how biometric-based Vertiport Passenger Security can overcome the limitations of existing airport screening processes by improving accuracy, reducing wait times, and enhancing the overall passenger experience. No definitive policies or procedures have been developed to date by regulators.", "keywords": [ "Biometrics", "Computer science", "Computer security" ], "cited_by_openalex": 0, "cited_by_scopus": 0, "eid": null, "pii": null, "open_access_url": "https://doi.org/10.4050/F-0079-2023-18130", "sources": [ { "db": "openalex", "stream": "UAV", "query_id": "UAV-3" } ], "streams": [ "UAV" ], "relevance_signals": [ "UAV_NO_CTX" ], "auto_exclude_reason": "EC-4-topic", "screening_status": "auto_excluded", "screened_by": "auto-v1.0.0" }, { "id": "doi:10.18154/rwth-2026-02627", "doi": "10.18154/rwth-2026-02627", "title": "Data-Driven Demand Analysis of Vertiport Infrastructure for Passenger Transportation", "year": 2023, "authors": [ "J. Rösing", "Eva Christine Wille", "Idoaldo José de Lima" ], "first_author": "J. Rösing", "venue": "RWTH Publications (RWTH Aachen)", "volume": null, "pages": null, "type": "article", "language": "en", "abstract": null, "keywords": [ "Public transport", "Demand forecasting", "Production (economics)", "Supply and demand", "Key (lock)" ], "cited_by_openalex": 0, "cited_by_scopus": 0, "eid": null, "pii": null, "open_access_url": "https://doi.org/10.18154/rwth-2026-02627", "sources": [ { "db": "openalex", "stream": "UAV", "query_id": "UAV-3" } ], "streams": [ "UAV" ], "relevance_signals": [ "UAV_NO_CTX" ], "auto_exclude_reason": "EC-4-topic", "screening_status": "auto_excluded", "screened_by": "auto-v1.0.0" }, { "id": "doi:10.4287/jsprs.62.274", "doi": "10.4287/jsprs.62.274", "title": "USE CASE OF 3D CITY MODEL IN THE VERTIPORT SELECTION FOR eVTOL", "year": 2023, "authors": [ "Yoji TAKAHASHI" ], "first_author": "Yoji TAKAHASHI", "venue": "Journal of the Japan society of photogrammetry and remote sensing", "volume": null, "pages": null, "type": "article", "language": "en", "abstract": "The eVTOL has been developed around the world as a next generation air mobility. Ministry of Economy, Trade and Industry (METI) and Ministry of Land, Infrastructure, Transport and Tourism (MLIT) created the public-private conference for the future air mobility revolution on flying vehicles in 2018 to discuss for realization of eVTOL operations in Japan. This article describes the visualization of collision with the obstacle limitation surfaces and 3D city models using 3D computer graphics software.", "keywords": [ "Selection (genetic algorithm)", "Computer science", "Artificial intelligence" ], "cited_by_openalex": 0, "cited_by_scopus": 0, "eid": null, "pii": null, "open_access_url": "https://www.jstage.jst.go.jp/article/jsprs/62/6/62_274/_pdf", "sources": [ { "db": "openalex", "stream": "UAV", "query_id": "UAV-3" } ], "streams": [ "UAV" ], "relevance_signals": [ "UAV_NO_CTX" ], "auto_exclude_reason": "EC-4-topic", "screening_status": "auto_excluded", "screened_by": "auto-v1.0.0" }, { "id": "title:comparing the performance of different vertiport topologies using discrete event simulation", "doi": null, "title": "Comparing the performance of different vertiport topologies using discrete event simulation", "year": 2023, "authors": [ "Eva Feldhoff", "Giovanna Miceli Ronzani Borille", "Johannes Reichmuth" ], "first_author": "Eva Feldhoff", "venue": "RWTH Publications (RWTH Aachen)", "volume": null, "pages": null, "type": "conference-paper", "language": "en", "abstract": null, "keywords": [ "Network topology", "Event (particle physics)", "Noise (video)", "Topology (electrical circuits)", "Discrete event simulation" ], "cited_by_openalex": 0, "cited_by_scopus": 0, "eid": null, "pii": null, "open_access_url": "https://publications.rwth-aachen.de/record/981250", "sources": [ { "db": "openalex", "stream": "UAV", "query_id": "UAV-3" } ], "streams": [ "UAV" ], "relevance_signals": [ "UAV_NO_CTX" ], "auto_exclude_reason": "EC-4-topic", "screening_status": "auto_excluded", "screened_by": "auto-v1.0.0" }, { "id": "title:data driven demand analysis of vertiport infrastructure for passenger transportation", "doi": null, "title": "Data-Driven Demand Analysis of Vertiport Infrastructure for Passenger Transportation", "year": 2023, "authors": [ "J. Rösing", "Eva Christine Wille", "Idoaldo José de Lima" ], "first_author": "J. Rösing", "venue": "RWTH Publications (RWTH Aachen)", "volume": null, "pages": null, "type": "conference-paper", "language": "en", "abstract": null, "keywords": [ "Public transport", "Demand forecasting", "Production (economics)", "Supply and demand", "Key (lock)" ], "cited_by_openalex": 0, "cited_by_scopus": 0, "eid": null, "pii": null, "open_access_url": "https://publications.rwth-aachen.de/record/1029916", "sources": [ { "db": "openalex", "stream": "UAV", "query_id": "UAV-3" } ], "streams": [ "UAV" ], "relevance_signals": [ "UAV_NO_CTX" ], "auto_exclude_reason": "EC-4-topic", "screening_status": "auto_excluded", "screened_by": "auto-v1.0.0" }, { "id": "doi:10.1007/978-3-031-32639-4_10", "doi": "10.1007/978-3-031-32639-4_10", "title": "Acoustic Operational Monitoring of Unmanned Aerial Vehicles Near Vertiports", "year": 2023, "authors": [ "Vitalii Makarenko", "Vadim I. Tokarev" ], "first_author": "Vitalii Makarenko", "venue": "Sustainable aviation", "volume": null, "pages": null, "type": "conference-paper", "language": "en", "abstract": null, "keywords": [ "Collision", "Resampling", "Computer science", "Compensation (psychology)", "Signature (topology)", "SIGNAL (programming language)", "Real-time computing", "Artificial intelligence", "Computer security", "Mathematics" ], "cited_by_openalex": 0, "cited_by_scopus": 0, "eid": null, "pii": null, "open_access_url": "https://doi.org/10.1007/978-3-031-32639-4_10", "sources": [ { "db": "openalex", "stream": "UAV", "query_id": "UAV-3" } ], "streams": [ "UAV" ], "relevance_signals": [ "UAV_NO_CTX" ], "auto_exclude_reason": "EC-4-topic", "screening_status": "auto_excluded", "screened_by": "auto-v1.0.0" }, { "id": "doi:10.3397/in_2023_0866", "doi": "10.3397/in_2023_0866", "title": "Change in community annoyance at a vertiport by applying different approach/departure paths", "year": 2023, "authors": [ "Michael Bauer" ], "first_author": "Michael Bauer", "venue": "NOISE-CON proceedings", "volume": null, "pages": null, "type": "conference-paper", "language": "en", "abstract": "The resent research on urban air mobility and its related air traffic noise is still focused on the understanding of air taxis' noise sources but already includes studies about potential future noise situations in the vicinity of vertiports. While the assessment of noise levels on the ground is still connected to unknowns by the lack of reliable noise source data and missing numbers of real air traffic movements, questions about the potential noise impact due to these novel air transport systems are already being asked, also under the aspect of a public acceptance. This study was performed to provide first answers. A realistic UAM use-case was investigated by noise simulations for a German community, delivering an insight how the annoyance in the small-town changes when applying different paths to connect the vertiport with its neighbor communities. The grade of annoyance and the way it can be influenced through flight path optimization is also compared to the change of the population's ratio, exposed to certain noise levels on the ground.", "keywords": [ "Annoyance", "Noise (video)", "Environmental science", "Transport engineering", "Traffic noise", "Meteorology", "Computer science", "Taxis", "Noise control", "Telecommunications", "Geography", "Engineering" ], "cited_by_openalex": 0, "cited_by_scopus": 0, "eid": null, "pii": null, "open_access_url": "https://doi.org/10.3397/in_2023_0866", "sources": [ { "db": "openalex", "stream": "UAV", "query_id": "UAV-3" } ], "streams": [ "UAV" ], "relevance_signals": [ "UAV_NO_CTX" ], "auto_exclude_reason": "EC-4-topic", "screening_status": "auto_excluded", "screened_by": "auto-v1.0.0" }, { "id": "doi:10.23919/aces57841.2023.10114746", "doi": "10.23919/aces57841.2023.10114746", "title": "Design of Chiral 4-Tiered Wireless Power Transfer (WPT) Systems for Vertiports", "year": 2023, "authors": [ "Saeed M. Khan", "Chad Bailey" ], "first_author": "Saeed M. Khan", "venue": "2023 International Applied Computational Electromagnetics Society Symposium Aces Monterey 2023", "volume": null, "pages": null, "type": "conference-paper", "language": "en", "abstract": "Advanced Air Mobility (AAM) operating in an urban area using electric vertical take-off and landing (eVTOL) vehicles will benefit from a safe WPT rapid charging system that can be accomplished without human intervention. This paper expands upon a 4-Tier chiral WPT system that can operate at high efficiencies and limit unprotected lateral emissions while maintaining human safety standards.", "keywords": [ "Wireless power transfer", "Wireless", "Limit (mathematics)", "Computer science", "Power (physics)", "Electrical engineering", "Automotive engineering", "Engineering", "Telecommunications", "Physics" ], "cited_by_openalex": 0, "cited_by_scopus": "0", "eid": "2-s2.0-85160007454", "pii": null, "open_access_url": "http://dx.doi.org/10.23919/aces57841.2023.10114746", "sources": [ { "db": "openalex", "stream": "UAV", "query_id": "UAV-3" }, { "db": "scopus", "stream": "UAV", "query_id": "UAV-3" } ], "streams": [ "UAV" ], "relevance_signals": [ "UAV_NO_CTX" ], "auto_exclude_reason": "EC-4-topic", "screening_status": "auto_excluded", "screened_by": "auto-v1.0.0" }, { "id": "doi:10.12985/ksaa.2023.31.1.018", "doi": "10.12985/ksaa.2023.31.1.018", "title": "A Study on the Criteria for Applying the Obstacle Limitation Surface of the UAM Vertiport", "year": 2023, "authors": [ "TaeJung Yu" ], "first_author": "TaeJung Yu", "venue": "Journal of the Korean Society for Aviation and Aeronautics", "volume": null, "pages": null, "type": "article", "language": "en", "abstract": "In recent years, UAM (Urban Air Mobility) has emerged as a solution to these urbanization problems, and many related reports and diverse prospects have been reported. UAM flights are planned to take off and land at a Vertiport located in the city center and fly along a pre-established corridor. In order for UAM to operate safely in the city center, it must ensure a safe flight path that avoids the buildings in the city center and many surrounding obstacles. Therefore, in this study, we compared and examined the installation standards of the obstacle limitation surface necessary for UAM to take off and land safely at the Vertiport. First, we analyzed the helicopter obstacle limitation surfaces in Japan and overseas, and the UAM Vertiport installation standards and obstacle limitation surface application standards recently announced at the FAA and EASA. It identified differences and similarities between heliport and Vertiport, and considered improvements to domestic helicopter obstacle limitation surfaces and criteria that could meet FAA and EASA standards.", "keywords": [ "Obstacle", "Center (category theory)", "Urbanization", "Path (computing)", "Aeronautics", "Transport engineering", "Environmental science", "Computer science", "Engineering", "Geography" ], "cited_by_openalex": 0, "cited_by_scopus": 0, "eid": null, "pii": null, "open_access_url": "https://www.jksaa.org/download/download_pdf?pid=jksaa-31-1-18", "sources": [ { "db": "openalex", "stream": "UAV", "query_id": "UAV-3" } ], "streams": [ "UAV" ], "relevance_signals": [ "UAV_NO_CTX" ], "auto_exclude_reason": "EC-4-topic", "screening_status": "auto_excluded", "screened_by": "auto-v1.0.0" }, { "id": "doi:10.48550/arxiv.2311.07487", "doi": "10.48550/arxiv.2311.07487", "title": "Vertiport Navigation Requirements and Multisensor Architecture Considerations for Urban Air Mobility", "year": 2023, "authors": [ "Omar García Crespillo", "Chen Zhu", "Maximilian Simonetti", "Daniel Gerbeth", "Lee, Young-Hee", "Wenhan Hao" ], "first_author": "Omar García Crespillo", "venue": "arXiv (Cornell University)", "volume": null, "pages": null, "type": "preprint", "language": "en", "abstract": "Communication, Navigation and Surveillance (CNS) technologies are key enablers for future safe operation of drones in urban environments. However, the design of navigation technologies for these new applications is more challenging compared to e.g., civil aviation. On the one hand, the use cases and operations in urban environments are expected to have stringent requirements in terms of accuracy, integrity, continuity and availability. On the other hand, airborne sensors may not be based on high-quality equipment as in civil aviation and solutions need to rely on tighter multisensor solutions, whose safety is difficult to assess. In this work, we first provide some initial navigation requirements related to precision approach operations based on recently proposed vertiport designs. Then, we provide an overview of a possible multisensor navigation architecture solution able to support these types of operations and we comment on the challenges of each of the subsystems. Finally, initial proof of concept for some navigation sensor subsystems is presented based on flight trials performed during the German Aerospace Center (DLR) project HorizonUAM.", "keywords": [ "Drone", "Systems engineering", "Architecture", "Aerospace", "Computer science", "Key (lock)", "Aviation", "Civil aviation", "Avionics", "Aeronautics", "Transport engineering", "Engineering" ], "cited_by_openalex": 0, "cited_by_scopus": 0, "eid": null, "pii": null, "open_access_url": "https://arxiv.org/pdf/2311.07487", "sources": [ { "db": "openalex", "stream": "UAV", "query_id": "UAV-3" } ], "streams": [ "UAV" ], "relevance_signals": [ "UAV_NO_CTX" ], "auto_exclude_reason": "EC-4-topic", "screening_status": "auto_excluded", "screened_by": "auto-v1.0.0" }, { "id": "title:proposal for a concept of operation conops for the use of vertiports for unmanned aircraft with vert", "doi": null, "title": "Proposal for a concept of operation (ConOps) for the use of vertiports for unmanned aircraft with vertical landing and takeoff in Colombia", "year": 2023, "authors": [ "Daniel Fernando Cantor Salamanca" ], "first_author": "Daniel Fernando Cantor Salamanca", "venue": "Repositorio Institucional FULL", "volume": null, "pages": null, "type": "article", "language": null, "abstract": "Esta investigación, tiene como objetivo proponer el Concepto de Operación (ConOps) del sistema de vertipuertos en Colombia, para sistemas de aeronaves no tripuladas (UAS) de aterrizaje y despegue en vertical (VTOL). Teniendo en cuenta que la operación de aeronaves no tripulada es un concepto de ¨aviación del futuro¨ denominado Movilidad Aérea Avanzada (AAM), uno de los desafíos de la industria, es que este tipo de aeronaves catalogadas como taxi aéreo en su mayoría con línea de vuelo fuera del campo visual del piloto (BVLOS), requieren de una operación segura integrada con la gestión del tráfico aéreo (ATM). De esta forma, Colombia tiene la necesidad de crear y regular, la infraestructura ideal para que los (UAS) despeguen y aterricen de en zonas seguras, teniendo en cuenta la operación de aeronaves tripuladas, personas y los objetos que se encuentren alrededor y la movilidad aérea urbana. Por medio de la disciplina de diseño de sistemas complejos “ingeniería de sistemas (SE)” para el desarrollo de la fase de diseño conceptual del sistema propuesto, delimitando el uso de vertipuertos para aeronaves tipo VTOL con BVLOS, tomando como referencia las propuestas de autoridades como la FAA de Estados Unidos, EASA de la Unión Europea, CASA de Australia y CAA del Reino Unido. El abordaje de este proceso plantea los requisitos funcionales, conocer los interesados y dar un lineamiento al uso de esta infraestructura del sistema por medio de la propuesta del ConOps del sistema de vertipuertos en Colombia.", "keywords": [ "Context (archaeology)", "Work (physics)", "Takeoff", "Field (mathematics)" ], "cited_by_openalex": 0, "cited_by_scopus": 0, "eid": null, "pii": null, "open_access_url": "https://repository.libertadores.edu.co/bitstreams/1660f104-77ce-4e90-a541-a5590ecb91b7/download", "sources": [ { "db": "openalex", "stream": "UAV", "query_id": "UAV-3" } ], "streams": [ "UAV" ], "relevance_signals": [ "UAV_NO_CTX" ], "auto_exclude_reason": "EC-4-topic", "screening_status": "auto_excluded", "screened_by": "auto-v1.0.0" }, { "id": "doi:10.3397/nc_2023_01_1103", "doi": "10.3397/nc_2023_01_1103", "title": "Noise footprint assessment at a vertiport for different approach and departure procedures of a tilt-wing air-taxi", "year": 2023, "authors": [ "Michael Bauer" ], "first_author": "Michael Bauer", "venue": "NOISE-CON proceedings", "volume": null, "pages": null, "type": "conference-paper", "language": "en", "abstract": "Community noise at vertiports is one of the most important questions related to upcoming urban air mobility (UAM) operations. While fixed-wing and/or fixed-rotor aircraft can mainly be treated by their changing operational parameters, such as rotor or propeller rpm, tilt-wing or tilt-engine configurations are more difficult to simulate because of their constantly changing noise emission and spatial radiation characteristics. The work presented in this paper is providing an overview of the noise situation at a virtual vertiport which is being approached and departed by a tilt-wing air-taxi in different ways. Several different departure procedures are simulated with the same generic air-taxi. For the noise emission semi-empiric methods were used. During the air-taxi's descent and climb, different tilt configurations are included, mainly defined by the time dependent engine's tilt-angle, but also related to different approach paths. Each approach or departure procedure is generating individually time dependent changing noise emission characteristics which are used for noise footprint mapping around the touch-down or lift-off point. Different noise metrics are computed, including some which are representative to indicate noise annoyance among the vertiport's neighborhood. It is expected that each procedure will generate its own specific community noise situation in the vicinity of the vertiport, and thus may provide an early recommenddation for later operations. The results are compared towards each other. Additionally, a simulated certification flyover according to ICAO Chapter 13 - which is about the noise certification of tilt-rotor aircraft - is set into relation to the vertiport's community noise.", "keywords": [ "Noise (video)", "Tilt (camera)", "Climb", "Cruise", "Rotor (electric)", "Aircraft noise", "Computer science", "Simulation", "Marine engineering", "Engineering", "Automotive engineering", "Aerospace engineering" ], "cited_by_openalex": 0, "cited_by_scopus": 0, "eid": null, "pii": null, "open_access_url": "http://dx.doi.org/10.3397/nc_2023_01_1103", "sources": [ { "db": "openalex", "stream": "UAV", "query_id": "UAV-3" } ], "streams": [ "UAV" ], "relevance_signals": [ "UAV_NO_CTX" ], "auto_exclude_reason": "EC-4-topic", "screening_status": "auto_excluded", "screened_by": "auto-v1.0.0" }, { "id": "doi:10.17208/jkpa.2023.08.58.4.73", "doi": "10.17208/jkpa.2023.08.58.4.73", "title": "Establishment of UAM (Urban Air Mobility) Network and Estimation of Vertiport Size in Seoul Metropolitan Area", "year": 2023, "authors": [ "Gayoung Son", "Kyu Hyuk Kim", "Tai Jin Song", "Sungjo Hong" ], "first_author": "Gayoung Son", "venue": "국토계획", "volume": null, "pages": null, "type": "article", "language": "en", "abstract": null, "keywords": [ "Metropolitan area", "Estimation", "Environmental science", "Geography", "Small area estimation", "Economics" ], "cited_by_openalex": 0, "cited_by_scopus": 0, "eid": null, "pii": null, "open_access_url": "https://doi.org/10.17208/jkpa.2023.08.58.4.73", "sources": [ { "db": "openalex", "stream": "UAV", "query_id": "UAV-3" } ], "streams": [ "UAV" ], "relevance_signals": [ "UAV_NO_CTX" ], "auto_exclude_reason": "EC-4-topic", "screening_status": "auto_excluded", "screened_by": "auto-v1.0.0" }, { "id": "doi:10.4050/f-0079-2023-1258", "doi": "10.4050/f-0079-2023-1258", "title": "An Airport and Vertiport/Aircraft Compatibility Approach of Electric Vertical Takeoff & Landing Aircraft Design", "year": 2023, "authors": [ "Gaël Le Bris", "Loup-Giang Nguyen" ], "first_author": "Gaël Le Bris", "venue": null, "volume": null, "pages": null, "type": "conference-paper", "language": null, "abstract": "Most ongoing electric vertical takeoff and landing (eVTOL) aircraft projects focus on the development of products that meet the needs of urban air mobility (UAM). The use cases that eVTOL aircraft could fulfill include intra-urban passenger mobility, cargo delivery, and emergency medical services (EMS). As UAM intends to provide point-to-point mobility service, it will need to leverage heliport facilities and create new vertiports on existing city real estate (e.g., high-rise building and parking garage rooftops). In order to achieve this, eVTOL aircraft design shall be, as far as practicable, compatible with the infrastructure available. The various aspects of eVTOL/vertiport and airport compatibility were investigated, and a list of criteria was established. The paper describes how key eVTOL design features interact with aviation facilities, and how and why careful aircraft design taking the ground infrastructure into consideration is important to maximize compatibility and facilitate UAM implementation by minimizing the need for costly and impactful capital investments. Considerations should be given to several features, including but not limited to the general aircraft configuration, passenger accessibility, electric and hybrid propulsion systems, and the charging and refueling systems. The review of existing heliport/vertiport facilities representing the diversity of the ground infrastructure in selected large metropolitan areas against over 100 eVTOL concepts and original designs provide an insight of the challenges ahead. The assessment of aviation risks expands the aircraft/airport compatibility conversation to fostering operational safety and efficiency 'by design'. Finally, the role of standardization in further reducing compatibility issues through industry standards and best practices in aircraft design, airport/vertiport design, and aircraft/airport operations is also discussed.", "keywords": [ "Compatibility (geochemistry)", "Standardization", "Aviation", "Runway", "Takeoff and landing", "Takeoff", "Aviation engineering", "Airplane" ], "cited_by_openalex": 0, "cited_by_scopus": 0, "eid": null, "pii": null, "open_access_url": "https://doi.org/10.4050/f-0079-2023-1258", "sources": [ { "db": "openalex", "stream": "UAV", "query_id": "UAV-3" } ], "streams": [ "UAV" ], "relevance_signals": [ "UAV_NO_CTX" ], "auto_exclude_reason": "EC-4-topic", "screening_status": "auto_excluded", "screened_by": "auto-v1.0.0" }, { "id": "doi:10.31462/icearc.2023.tra299", "doi": "10.31462/icearc.2023.tra299", "title": "Determination of vertiport locations using k-means algorithm for urban air mobility (UAM) in İzmir province", "year": 2023, "authors": [ "Oğuz Köse", "Mustafa Özuysal" ], "first_author": "Oğuz Köse", "venue": null, "volume": null, "pages": null, "type": "conference-paper", "language": "en", "abstract": null, "keywords": [ "Environmental science", "Computer science", "Remote sensing", "Meteorology", "Geography" ], "cited_by_openalex": 0, "cited_by_scopus": 0, "eid": null, "pii": null, "open_access_url": "https://doi.org/10.31462/icearc.2023.tra299", "sources": [ { "db": "openalex", "stream": "UAV", "query_id": "UAV-3" } ], "streams": [ "UAV" ], "relevance_signals": [ "UAV_NO_CTX" ], "auto_exclude_reason": "EC-4-topic", "screening_status": "auto_excluded", "screened_by": "auto-v1.0.0" }, { "id": "doi:10.48550/arxiv.2308.09075", "doi": "10.48550/arxiv.2308.09075", "title": "Fast Decision Support for Air Traffic Management at Urban Air Mobility Vertiports using Graph Learning", "year": 2023, "authors": [ "Prajit KrisshnaKumar", "Jhoel Witter", "Steve Paul", "Hanvit Cho", "Karthik Dantu", "Souma Chowdhury" ], "first_author": "Prajit KrisshnaKumar", "venue": "arXiv (Cornell University)", "volume": null, "pages": null, "type": "preprint", "language": "en", "abstract": "Urban Air Mobility (UAM) promises a new dimension to decongested, safe, and fast travel in urban and suburban hubs. These UAM aircraft are conceived to operate from small airports called vertiports each comprising multiple take-off/landing and battery-recharging spots. Since they might be situated in dense urban areas and need to handle many aircraft landings and take-offs each hour, managing this schedule in real-time becomes challenging for a traditional air-traffic controller but instead calls for an automated solution. This paper provides a novel approach to this problem of Urban Air Mobility - Vertiport Schedule Management (UAM-VSM), which leverages graph reinforcement learning to generate decision-support policies. Here the designated physical spots within the vertiport's airspace and the vehicles being managed are represented as two separate graphs, with feature extraction performed through a graph convolutional network (GCN). Extracted features are passed onto perceptron layers to decide actions such as continue to hover or cruise, continue idling or take-off, or land on an allocated vertiport spot. Performance is measured based on delays, safety (no. of collisions) and battery consumption. Through realistic simulations in AirSim applied to scaled down multi-rotor vehicles, our results demonstrate the suitability of using graph reinforcement learning to solve the UAM-VSM problem and its superiority to basic reinforcement learning (with graph embeddings) or random choice baselines.", "keywords": [ "Reinforcement learning", "Computer science", "Schedule", "Graph", "Real-time computing", "Transport engineering", "Artificial intelligence", "Engineering" ], "cited_by_openalex": 0, "cited_by_scopus": 0, "eid": null, "pii": null, "open_access_url": "https://arxiv.org/pdf/2308.09075", "sources": [ { "db": "openalex", "stream": "UAV", "query_id": "UAV-3" } ], "streams": [ "UAV" ], "relevance_signals": [ "UAV_NO_CTX" ], "auto_exclude_reason": "EC-4-topic", "screening_status": "auto_excluded", "screened_by": "auto-v1.0.0" }, { "id": "doi:10.3403/30426830u", "doi": "10.3403/30426830u", "title": "Vertiports - Infrastructure and equipment for vertical take-off and landing (VTOL) of electrically powered cargo unmanned aircraft systems (UAS)", "year": 2023, "authors": [], "first_author": null, "venue": null, "volume": null, "pages": null, "type": "standard", "language": "en", "abstract": null, "keywords": [ "Aerospace engineering", "Aeronautics", "Marine engineering", "Engineering" ], "cited_by_openalex": 0, "cited_by_scopus": 0, "eid": null, "pii": null, "open_access_url": "http://dx.doi.org/10.3403/30426830u", "sources": [ { "db": "openalex", "stream": "UAV", "query_id": "UAV-3" } ], "streams": [ "UAV" ], "relevance_signals": [ "UAV_NO_CTX" ], "auto_exclude_reason": "EC-4-topic", "screening_status": "auto_excluded", "screened_by": "auto-v1.0.0" }, { "id": "doi:10.48550/arxiv.2302.05849", "doi": "10.48550/arxiv.2302.05849", "title": "Graph Learning Based Decision Support for Multi-Aircraft Take-Off and Landing at Urban Air Mobility Vertiports", "year": 2023, "authors": [ "Prajit KrisshnaKumar", "Jhoel Witter", "Steve Paul", "Karthik Dantu", "Souma Chowdhury" ], "first_author": "Prajit KrisshnaKumar", "venue": "arXiv (Cornell University)", "volume": null, "pages": null, "type": "preprint", "language": "en", "abstract": "Majority of aircraft under the Urban Air Mobility (UAM) concept are expected to be of the electric vertical takeoff and landing (eVTOL) vehicle type, which will operate out of vertiports. While this is akin to the relationship between general aviation aircraft and airports, the conceived location of vertiports within dense urban environments presents unique challenges in managing the air traffic served by a vertiport. This challenge becomes pronounced within increasing frequency of scheduled landings and take-offs. This paper assumes a centralized air traffic controller (ATC) to explore the performance of a new AI driven ATC approach to manage the eVTOLs served by the vertiport. Minimum separation-driven safety and delays are the two important considerations in this case. The ATC problem is modeled as a task allocation problem, and uncertainties due to communication disruptions (e.g., poor link quality) and inclement weather (e.g., high gust effects) are added as a small probability of action failures. To learn the vertiport ATC policy, a novel graph-based reinforcement learning (RL) solution called \"Urban Air Mobility- Vertiport Schedule Management (UAM-VSM)\" is developed. This approach uses graph convolutional networks (GCNs) to abstract the vertiport space and eVTOL space as graphs, and aggregate information for a centralized ATC agent to help generalize the environment. Unreal Engine combined with Airsim is used as the simulation environment over which training and testing occurs. Uncertainties are considered only during testing, due to the high cost of Mc sampling over such realistic simulations. The proposed graph RL method demonstrates significantly better performance on the test scenarios when compared against a feasible random decision-making baseline and a first come first serve (FCFS) baseline, including the ability to generalize to unseen scenarios and with uncertainties.", "keywords": [ "Takeoff", "Reinforcement learning", "Computer science", "Takeoff and landing", "Air traffic control", "Aviation", "Graph", "Schedule", "Scheduling (production processes)", "Air traffic management", "Operations research", "Artificial intelligence" ], "cited_by_openalex": 0, "cited_by_scopus": 0, "eid": null, "pii": null, "open_access_url": "https://arxiv.org/pdf/2302.05849", "sources": [ { "db": "openalex", "stream": "UAV", "query_id": "UAV-3" } ], "streams": [ "UAV" ], "relevance_signals": [ "UAV_NO_CTX" ], "auto_exclude_reason": "EC-4-topic", "screening_status": "auto_excluded", "screened_by": "auto-v1.0.0" }, { "id": "doi:10.2514/6.2023-1848.c1", "doi": "10.2514/6.2023-1848.c1", "title": "Correction: Graph Learning based Decision Support for Multi-Aircraft Take-Off and Landing at Urban Air Mobility Vertiports", "year": 2023, "authors": [ "Prajit K. Kumar", "Jhoel Witter", "Steve M. Paul", "Karthik Dantu", "Souma Chowdhury" ], "first_author": "Prajit K. Kumar", "venue": "AIAA SCITECH 2023 Forum", "volume": null, "pages": null, "type": "erratum", "language": "en", "abstract": null, "keywords": [ "Computer science", "Graph", "Aeronautics", "Engineering", "Theoretical computer science" ], "cited_by_openalex": 0, "cited_by_scopus": 0, "eid": null, "pii": null, "open_access_url": "https://arc.aiaa.org/doi/pdf/10.2514/6.2023-1848.c1", "sources": [ { "db": "openalex", "stream": "UAV", "query_id": "UAV-3" } ], "streams": [ "UAV" ], "relevance_signals": [ "UAV_NO_CTX" ], "auto_exclude_reason": "EC-4-topic", "screening_status": "auto_excluded", "screened_by": "auto-v1.0.0" }, { "id": "doi:10.3403/30426830", "doi": "10.3403/30426830", "title": "Vertiports - Infrastructure and equipment for vertical take-off and landing (VTOL) of electrically powered cargo unmanned aircraft systems (UAS)", "year": 2023, "authors": [], "first_author": null, "venue": null, "volume": null, "pages": null, "type": "standard", "language": "en", "abstract": "49.020", "keywords": [ "Aeronautics", "Aerospace engineering", "Marine engineering", "Engineering", "Automotive engineering" ], "cited_by_openalex": 0, "cited_by_scopus": 0, "eid": null, "pii": null, "open_access_url": "https://hdl.handle.net/20.500.12259/309939", "sources": [ { "db": "openalex", "stream": "UAV", "query_id": "UAV-3" } ], "streams": [ "UAV" ], "relevance_signals": [ "UAV_NO_CTX" ], "auto_exclude_reason": "EC-4-topic", "screening_status": "auto_excluded", "screened_by": "auto-v1.0.0" }, { "id": "doi:10.1109/dasc58513.2023.10311258", "doi": "10.1109/dasc58513.2023.10311258", "title": "Analyzing Fragility of the Advanced Air Mobility System and Exploring Antifragile Networks", "year": 2023, "authors": [ "Arinc Tutku Altun", "Yan Xu", "Gökhan İnalhan", "Michael W. Hardt" ], "first_author": "Arinc Tutku Altun", "venue": "AIAA IEEE Digital Avionics Systems Conference Proceedings", "volume": null, "pages": null, "type": "conference-paper", "language": "en", "abstract": "Future Advanced Air Mobility (AAM) is a concept that envisions to transform the current air transportation system into a more agile, flexible, and accessible system. Yet, the considered transformation and integrated system is not easy to achieve since it involves providing a high level of safety as well as efficiency. For that purpose, in this paper, we explored the fragility and antifragility concepts to analyze the AAM traffic network and provide an understanding of a system where it can benefit even under adverse conditions such as contingency events. For the analysis, first, a complex AAM traffic network is built via various AAM vehicles and possible vertiport locations that are analyzed for the Northern California area. After that, the AAM network is modeled via queue theory to simulate the considered flight plans, obtain the actual departure and arrival times under different conditions, and observe the delay propagation. Then, metrics from network theory based on targeted node and edge removals are studied to analyze the fragility of the AAM network and used for antifragility analysis. The methodology is used to analyze different disruptive cases over an AAM network such that disruptions at vertiports and over origin-destination pairs. Finally, an analysis of making the considered traffic antifragile through flight cancellations and its trade-off based on flight cancellation costs is provided.", "keywords": [ "Computer science", "Fragility", "Enhanced Data Rates for GSM Evolution", "Agile software development", "Node (physics)", "Air traffic control", "Real-time computing", "Distributed computing", "Simulation", "Artificial intelligence", "Engineering" ], "cited_by_openalex": 1, "cited_by_scopus": "0", "eid": "2-s2.0-85178666494", "pii": null, "open_access_url": "https://dspace.lib.cranfield.ac.uk/bitstreams/b181a58c-e579-4940-b5de-ff67d73551f1/download", "sources": [ { "db": "openalex", "stream": "UAV", "query_id": "UAV-3" }, { "db": "scopus", "stream": "UAV", "query_id": "UAV-3" } ], "streams": [ "UAV" ], "relevance_signals": [ "UAV_NO_CTX" ], "auto_exclude_reason": "EC-4-topic", "screening_status": "auto_excluded", "screened_by": "auto-v1.0.0" }, { "id": "doi:10.2139/ssrn.4484698", "doi": "10.2139/ssrn.4484698", "title": "Impact of UAM Sitting on Travel Time Savings and Accessibility Improvements: A Case Study of Munich Metropolitan Area", "year": 2023, "authors": [ "Tao Guo", "Hao Wu", "Constantinos Antoniou" ], "first_author": "Tao Guo", "venue": "SSRN Electronic Journal", "volume": null, "pages": null, "type": "preprint", "language": "en", "abstract": null, "keywords": [ "Metropolitan area", "Sitting", "Travel time", "Transport engineering", "Business", "Regional science", "Geography", "Engineering", "Medicine", "Archaeology" ], "cited_by_openalex": 0, "cited_by_scopus": 0, "eid": null, "pii": null, "open_access_url": "https://doi.org/10.2139/ssrn.4484698", "sources": [ { "db": "openalex", "stream": "UAV", "query_id": "UAV-3" } ], "streams": [ "UAV" ], "relevance_signals": [ "NO_TECHNOLOGY_MATCH" ], "auto_exclude_reason": "EC-4-topic", "screening_status": "auto_excluded", "screened_by": "auto-v1.0.0" }, { "id": "doi:10.1109/iscsic60498.2023.00012", "doi": "10.1109/iscsic60498.2023.00012", "title": "Research on Visual-Inertial Odometry Methods for Aerial Payload Delivery Scenarios", "year": 2023, "authors": [ "Yihan Liu", "Zhi Xiong", "Jingqi Wang", "Yao Zhao", "Guanhong Gao", "Zheng Peng", "Yuzhe Liu", "Ling Zhang" ], "first_author": "Yihan Liu", "venue": "Proceedings 2023 7th International Symposium on Computer Science and Intelligent Control Iscsic 2023", "volume": null, "pages": "7-11", "type": "conference-paper", "language": "en", "abstract": "The localization performance of aerial delivery system is crucial in specific payload delivery scenarios. Currently, the navigation system heavily relies on satellite navigation, but interference can compromise reliability. To solve this problem, a visual/inertial odometer method based on MSCKF algorithm is proposed for aerial delivery scenarios. The proposed method addresses the problem of long distance between ground feature points and uncertainty in depth estimation faced by aerial delivery missions, by designing a long-range monocular triangulation method based on a sliding window in the front-end of the visual/inertial system, which improves the efficiency of the algorithm while ensuring the accuracy of depth estimation in distant and large-scale scenarios. Furthermore, the unstable motion states of aerial delivery systems will result in rapid deterioration of visual/inertial odometry accuracy or even failure of the whole system. To solve the problem above, a covariance constraint method and an improved visual-inertial odometry based on the multiple state constraint Kalman filter are proposed, which is suitable for aerial delivery scenarios. The feasibility and accuracy of the proposed method are verified through comparative simulation experiments in simulated aerial delivery scenarios. The experimental results indicate that, compared with the classical S-MSCKF and VINS-Fusion algorithm, the proposed algorithm can work properly. In addition, when compared with the pure IMU dead reckoning method, the localization accuracy of the proposed method is improved by about 40%.", "keywords": [ "Computer science", "Odometry", "Computer vision", "Artificial intelligence", "Inertial measurement unit", "Payload (computing)", "Kalman filter", "Inertial navigation system", "Inertial frame of reference", "Robot", "Mobile robot" ], "cited_by_openalex": 0, "cited_by_scopus": "0", "eid": "2-s2.0-85184994448", "pii": null, "open_access_url": "http://dx.doi.org/10.1109/iscsic60498.2023.00012", "sources": [ { "db": "openalex", "stream": "UAV", "query_id": "UAV-3" }, { "db": "scopus", "stream": "UAV", "query_id": "UAV-3" } ], "streams": [ "UAV" ], "relevance_signals": [ "UAV_NO_CTX" ], "auto_exclude_reason": "EC-4-topic", "screening_status": "auto_excluded", "screened_by": "auto-v1.0.0" }, { "id": "doi:10.70675/a0c0d7e5z13caz4e38z9d66zd2f8620e054f", "doi": "10.70675/a0c0d7e5z13caz4e38z9d66zd2f8620e054f", "title": "Operations Research Methodologies in Advanced Air Mobility and their potential applications in Emergency Medical Services", "year": 2023, "authors": [ "Julián Alberto Espejo-Díaz" ], "first_author": "Julián Alberto Espejo-Díaz", "venue": null, "volume": null, "pages": null, "type": "dissertation", "language": null, "abstract": "Méthodologies de Recherche Opérationnelle dans la Mobilité Aérienne Avancée et leurs Applications Potentielles dans les Services d'aide Médicale Urgente Des progrès récents et importants dans les véhicules à décollage et atterrissage verticaux électriques (eVTOL pour leur abréviation en anglais) indiquent que bientôt, ces véhicules pourraient transporter des personnes et des marchandises dans les zones urbaines et rurales. Les véhicules de mobilité aérienne avancée (MAA) tels que les aéronefs eVTOL ont le potentiel de servir de solution alternative aux modes de transport traditionnels. De plus, les aéronefs AAM peuvent également être utilisés pour soutenir les services de santé. Par exemple, ils peuvent être utilisés pour fournir des services d'aide médicale urgente (SAMU) dans des zones ayant un accès limité aux transports terrestres.Cette thèse explore l'utilisation des techniques de recherche opérationnelle pour résoudre des problèmes de planification importants dans les opérations de MAA, en tenant compte des caractéristiques uniques de cette nouvelle technologie. Ce travail aborde le problème d'ordonnancement des aéronefs aux vertiports, le problème de sélection des vertiports pour les SAMU, et le problème simultané de sélection des vertiports et de distribution des véhicules eVTOL pour les SAMU. Pour aborder ces problèmes, diverses techniques de recherche opérationnelle sont employées, notamment l'optimisation, les heuristiques et les modèles de simulation. Des techniques d'analyse de données, telles que des algorithmes de regroupement (clustering), sont également intégrées.", "keywords": [ "Emergency medical services", "Health services", "Emergency procedure", "Air transport" ], "cited_by_openalex": 0, "cited_by_scopus": 0, "eid": null, "pii": null, "open_access_url": "https://doi.org/10.70675/a0c0d7e5z13caz4e38z9d66zd2f8620e054f", "sources": [ { "db": "openalex", "stream": "UAV", "query_id": "UAV-3" } ], "streams": [ "UAV" ], "relevance_signals": [ "UAV_NO_CTX" ], "auto_exclude_reason": "EC-4-topic", "screening_status": "auto_excluded", "screened_by": "auto-v1.0.0" }, { "id": "doi:10.24053/iv-2023-0002", "doi": "10.24053/iv-2023-0002", "title": "Im Fokus", "year": 2023, "authors": [ "Alexander Eisenkopf" ], "first_author": "Alexander Eisenkopf", "venue": "Internationales Verkehrswesen", "volume": null, "pages": null, "type": "article", "language": "de", "abstract": "Seilbahn oder Mini-Shuttle? | AI-Matters – EU-Netzwerk für Künstliche Intelligenz | ELCH – der lokal emissionsfreie Reisebus | Induktives Laden während der Fahrt | Tabellen und Dashboards wider das Baustellenchaos | Digitalisierung und Elektromobilität als Jobkiller? | Sichere Drohnenflüge über deutschen Metropolen | Infrastruktur für Vertiports – Siemens und Skyway kooperieren", "keywords": [ "Computer science" ], "cited_by_openalex": 0, "cited_by_scopus": 0, "eid": null, "pii": null, "open_access_url": "https://doi.org/10.24053/iv-2023-0002", "sources": [ { "db": "openalex", "stream": "UAV", "query_id": "UAV-3" } ], "streams": [ "UAV" ], "relevance_signals": [ "UAV_NO_CTX" ], "auto_exclude_reason": "EC-4", "screening_status": "auto_excluded", "screened_by": "auto-v1.0.0" }, { "id": "doi:10.48550/arxiv.2312.10809", "doi": "10.48550/arxiv.2312.10809", "title": "Deep-Dispatch: A Deep Reinforcement Learning-Based Vehicle Dispatch Algorithm for Advanced Air Mobility", "year": 2023, "authors": [ "Elaheh Sabziyan Varnousfaderani", "Syed Arbab Mohd Shihab", "Esrat F. Dulia" ], "first_author": "Elaheh Sabziyan Varnousfaderani", "venue": "arXiv (Cornell University)", "volume": null, "pages": null, "type": "preprint", "language": "en", "abstract": "Near future air taxi operations with electric vertical take-off and landing (eVTOL) aircraft will be constrained by the need for frequent recharging of eVTOLs, limited takeoff and landing pads in vertiports, and subject to time-varying demand and electricity prices, making the eVTOL dispatch problem unique and particularly challenging to solve. Previously, we have developed optimization models to address this problem. Such optimization models however suffer from prohibitively high computational run times when the scale of the problem increases, making them less practical for real world implementation. To overcome this issue, we have developed two deep reinforcement learning-based eVTOL dispatch algorithms, namely single-agent and multi-agent deep Q-learning eVTOL dispatch algorithms, where the objective is to maximize operating profit. An eVTOL-based passenger transportation simulation environment was built to assess the performance of our algorithms across $36$ numerical cases with varying number of eVTOLs, vertiports, and demand. The results indicate that the multi-agent eVTOL dispatch algorithm can closely approximate the optimal dispatch policy with significantly less computational expenses compared to the benchmark optimization model. The multi-agent algorithm was found to outperform the single-agent counterpart with respect to both profits generated and training time.", "keywords": [ "Reinforcement learning", "Economic dispatch", "Computer science", "Takeoff", "Benchmark (surveying)", "Profit (economics)", "Mathematical optimization", "Operations research", "Artificial intelligence", "Electric power system", "Engineering", "Power (physics)" ], "cited_by_openalex": 0, "cited_by_scopus": 0, "eid": null, "pii": null, "open_access_url": "https://arxiv.org/pdf/2312.10809", "sources": [ { "db": "openalex", "stream": "UAV", "query_id": "UAV-3" } ], "streams": [ "UAV" ], "relevance_signals": [ "UAV_NO_CTX" ], "auto_exclude_reason": "EC-4-topic", "screening_status": "auto_excluded", "screened_by": "auto-v1.0.0" }, { "id": "doi:10.1145/3638209.3638217", "doi": "10.1145/3638209.3638217", "title": "Metaheuristic Approach for Solving the Traveling Salesman Problem with Drone", "year": 2023, "authors": [ "Mohamed Wed Eladham", "Ali Bou Nassif" ], "first_author": "Mohamed Wed Eladham", "venue": "ACM International Conference Proceeding Series", "volume": null, "pages": "46-51", "type": "conference-paper", "language": "en", "abstract": "A well-known combinatorial optimization issue called The Traveling Salesman issue (TSP) has applications in many fields, including drone-based delivery and monitoring systems. In this study, we examine the effectiveness of three distinct implementations of the Simulated Annealing (SA), Sparrow Search Algorithm (SSA), and Tabu Search (TS) metaheuristic algorithms to solve the TSP for drone applications. The goal is to evaluate each algorithm's performance and assess whether it is appropriate for use in practical drone deployment scenarios while considering limitations like the maximum drone distance and the number of trips. Our approach focuses on how SA, SSA, and TS are implemented individually and outlines the experimental setup used to compare performance. To guarantee a neutral comparison, the study is carried out in simulation using Python in the same environment for all of the methods. The goal is to reduce the vehicle and drone's combined total distance travelled.", "keywords": [ "Drone", "Travelling salesman problem", "Metaheuristic", "Tabu search", "Computer science", "Simulated annealing", "Python (programming language)", "Gadget", "Mathematical optimization", "Implementation", "Software deployment", "Algorithm" ], "cited_by_openalex": 0, "cited_by_scopus": "0", "eid": "2-s2.0-85187556327", "pii": null, "open_access_url": "https://dl.acm.org/doi/pdf/10.1145/3638209.3638217", "sources": [ { "db": "openalex", "stream": "UAV", "query_id": "UAV-3" }, { "db": "scopus", "stream": "UAV", "query_id": "UAV-3" } ], "streams": [ "UAV" ], "relevance_signals": [ "UAV_NO_CTX" ], "auto_exclude_reason": "EC-4-topic", "screening_status": "auto_excluded", "screened_by": "auto-v1.0.0" }, { "id": "title:smart met flight safety of small aircraft under adverse meteorological conditions", "doi": null, "title": "SMART-MET - Flight Safety of Small Aircraft under Adverse Meteorological Conditions", "year": 2023, "authors": [ "Konrath, Robert", "Hon, Jason", "Holzäpfel, Frank", "Kalow, Steffen", "Bartels, Rainer", "Lau, Alexander" ], "first_author": "Konrath, Robert", "venue": "elib (German Aerospace Center)", "volume": null, "pages": null, "type": "conference-paper", "language": null, "abstract": "Three main topics are dealt within the project SMART-MET (Flight Safety of Small Aircraft under Adverse Meteorological Conditions): An attractive use case for small aircraft are airport shuttles between urban or suburban areas. However, the required vertiports for eVTOL can frequently only be installed near conventional runways such that they can’t be operated independently from wake vortices of other aircraft. In SMART-MET criteria for acceptable wake vortex encounters shall be developed for various small aircraft. A wake vortex warning system for vertiports WSWS-V at large airports shall be developed and demonstrated consisting of the elements wind and wake vortex prediction (machine learning) as well as the developed encounter criteria. The risk of fatal flight accidents in consequence of ice accretions is particularly relevant to small aircraft. Flight safety can be significantly enhanced by monitoring the atmospheric conditions und ice accretions utilizing advanced sensors to warn the pilot at an early stage or to automatically activate de-/anti-icing systems. However, conventional icing protection systems are challenging for small aircraft because of their high energy consumption. Therefore, developments of innovative approaches for energy-efficient icing sensors and de-/anti-icing systems are required to ensure safe and economic operation of small aircraft. Meteorological effects have a significant impact on the operational efficiency and safety of small aircraft. Weather influences impacting safe operations are identified and the limiting values are determined, whereby the quantification of the time share of operability on different flight routes is relevant. It is examined how meteorological influences affect the availability of small aircraft. In addition, the necessary adaptation measures to maintain flight safety in a changing climate that has a negative impact on safe operations are determined.", "keywords": [ "Operability", "Runway", "Icing", "Wake turbulence", "Wake", "Limiting", "Aviation safety" ], "cited_by_openalex": 0, "cited_by_scopus": 0, "eid": null, "pii": null, "open_access_url": "https://elib.dlr.de/200212/", "sources": [ { "db": "openalex", "stream": "UAV", "query_id": "UAV-3" } ], "streams": [ "UAV" ], "relevance_signals": [ "UAV_NO_CTX" ], "auto_exclude_reason": "EC-4-topic", "screening_status": "auto_excluded", "screened_by": "auto-v1.0.0" }, { "id": "doi:10.1109/icuas57906.2023.10156046", "doi": "10.1109/icuas57906.2023.10156046", "title": "Assessment of LiDAR detection capabilities for Urban Air Mobility applications", "year": 2023, "authors": [ "Enrique Aldao", "Gabriel Fontenla-Carrera", "Luis Miguel González-deSantos", "H. González-Jorge" ], "first_author": "Enrique Aldao", "venue": null, "volume": null, "pages": null, "type": "conference-paper", "language": "en", "abstract": "This paper presents a quantitative analysis of the detection capabilities for U-Space applications using a solid-state LiDAR, specifically the Livox Avia. The focus of this study is the use of this technology as a ground surveillance system, with a particular emphasis on its potential installation in ground infrastructures such as a vertiports. A point cloud simulator was used to replicate the behavior of this device and the acquisition of moving obstacle point clouds was simulated. This information was processed to estimate the position, speed and size of different intruders. Multiple study cases were generated to evaluate the sensor performance under different operating conditions. Finally, a statistical analysis of the results was carried out to evaluate the influence of the distance, speed and size of the intruders on the results.", "keywords": [ "Lidar", "Computer science", "Obstacle", "Focus (optics)", "Point cloud", "Real-time computing", "Replicate", "Emphasis (telecommunications)", "Remote sensing", "Cloud computing", "Simulation", "Artificial intelligence" ], "cited_by_openalex": 0, "cited_by_scopus": 0, "eid": null, "pii": null, "open_access_url": "http://dx.doi.org/10.1109/icuas57906.2023.10156046", "sources": [ { "db": "openalex", "stream": "UAV", "query_id": "UAV-3" } ], "streams": [ "UAV" ], "relevance_signals": [ "UAV_NO_CTX" ], "auto_exclude_reason": "EC-4-topic", "screening_status": "auto_excluded", "screened_by": "auto-v1.0.0" }, { "id": "doi:10.58445/rars.660", "doi": "10.58445/rars.660", "title": "eVTOL and Flying Car Technology Simplified with a Tire-Propeller Hybrid", "year": 2023, "authors": [ "Justin F. Doan" ], "first_author": "Justin F. Doan", "venue": null, "volume": null, "pages": null, "type": "preprint", "language": "en", "abstract": "New forms of air transportation are being explored as congestion on today's roads steadily increases.Of the new forms of air transportation being explored, electric vertical takeoff and landing (eVTOL) aircraft could be the future of sustainable transportation to reduce greenhouse gas emissions.Even though they are promising, many existing eVTOL architectures will likely struggle to be widely adopted due to the need for appropriate vertiports.This paper discusses flying cars and Flying Car Transportation Systems (FCTS), vehicles with driving and flying capability, as a subset of eVTOLs to let one efficiently travel from home, vertiport, and destination and vice versa without interruption.In particular, the novelty of a tire-propeller hybrid (TPH) is considered as a simplified propulsion system for both driving and flying that enables the widespread adoption of eVTOLs.A concept for one is proposed, and a simple feasibility analysis based on momentum theory is conducted.", "keywords": [ "Propeller", "Automotive engineering", "Marine engineering", "Engineering", "Aeronautics", "Aerospace engineering" ], "cited_by_openalex": 0, "cited_by_scopus": 0, "eid": null, "pii": null, "open_access_url": "https://research-archive.org/index.php/rars/preprint/download/660/1177/954", "sources": [ { "db": "openalex", "stream": "UAV", "query_id": "UAV-3" } ], "streams": [ "UAV" ], "relevance_signals": [ "UAV_NO_CTX" ], "auto_exclude_reason": "EC-4-topic", "screening_status": "auto_excluded", "screened_by": "auto-v1.0.0" }, { "id": "doi:10.48550/arxiv.2306.04137", "doi": "10.48550/arxiv.2306.04137", "title": "Multi-Agent Reinforcement Learning for Cooperative Air Transportation Services in City-Wide Autonomous Urban Air Mobility", "year": 2023, "authors": [ "Chanyoung Park", "Gyu Seon Kim", "Soohyun Park", "Soyi Jung", "Joongheon Kim" ], "first_author": "Chanyoung Park", "venue": "arXiv (Cornell University)", "volume": null, "pages": null, "type": "preprint", "language": "en", "abstract": "The development of urban-air-mobility (UAM) is rapidly progressing with spurs, and the demand for efficient transportation management systems is a rising need due to the multifaceted environmental uncertainties. Thus, this paper proposes a novel air transportation service management algorithm based on multi-agent deep reinforcement learning (MADRL) to address the challenges of multi-UAM cooperation. Specifically, the proposed algorithm in this paper is based on communication network (CommNet) method utilizing centralized training and distributed execution (CTDE) in multiple UAMs for providing efficient air transportation services to passengers collaboratively. Furthermore, this paper adopts actual vertiport maps and UAM specifications for constructing realistic air transportation networks. By evaluating the performance of the proposed algorithm in data-intensive simulations, the results show that the proposed algorithm outperforms existing approaches in terms of air transportation service quality. Furthermore, there are no inferior UAMs by utilizing parameter sharing in CommNet and a centralized critic network in CTDE. Therefore, it can be confirmed that the research results in this paper can provide a promising solution for autonomous air transportation management systems in city-wide urban areas.", "keywords": [ "Reinforcement learning", "Computer science", "Service (business)", "Distributed computing", "Transport engineering", "Intelligent transportation system", "Air quality index", "Artificial intelligence", "Engineering", "Business" ], "cited_by_openalex": 0, "cited_by_scopus": 0, "eid": null, "pii": null, "open_access_url": "https://arxiv.org/pdf/2306.04137", "sources": [ { "db": "openalex", "stream": "UAV", "query_id": "UAV-3" } ], "streams": [ "UAV" ], "relevance_signals": [ "UAV_NO_CTX" ], "auto_exclude_reason": "EC-4-topic", "screening_status": "auto_excluded", "screened_by": "auto-v1.0.0" }, { "id": "doi:10.4050/f-0079-2023-18138", "doi": "10.4050/f-0079-2023-18138", "title": "SmartHangars and SAE International Aircraft Charging Standards", "year": 2023, "authors": [ "Joshua Portlock", "Richard A. R. Watson" ], "first_author": "Joshua Portlock", "venue": null, "volume": null, "pages": null, "type": "conference-paper", "language": "en", "abstract": "Electro.Aero has been supporting the emerging electric aviation industry for nearly a decade, including the development of chargers, electrical management systems, battery management systems and electric propulsion systems to numerous electric aircraft development projects. During that time, it was identified that the industry needed standardization, especially regarding the charging coupler, so the SAE AE-7D committee was founded by Joshua Portlock in 2018 to help standardize electric aircraft charging and energy management. While the charging coupler standard was proving to be of high priority to the industry, there has also been a noticeable trend that typical airport hangars do not have sufficient electrical power to charge the growing power demands of future electric vertical take-off and landing (eVTOL) aircraft. Therefore, SmartHangar technology was developed, whereby the limited grid connectivity is supplemented by solar and stationary battery energy storage systems to help deliver the peak power demands of electric aviation charging, whilst also helping airports and vertiports transition to more self-sufficient sustainable energy.", "keywords": [ "Aviation", "Standardization", "Battery (electricity)", "Automotive engineering", "Electric power system", "Electrically powered spacecraft propulsion", "Propulsion", "Energy storage", "Electric power", "Electrical engineering", "Electric vehicle", "Electric power industry" ], "cited_by_openalex": 0, "cited_by_scopus": 0, "eid": null, "pii": null, "open_access_url": "https://doi.org/10.4050/F-0079-2023-18138", "sources": [ { "db": "openalex", "stream": "UAV", "query_id": "UAV-3" } ], "streams": [ "UAV" ], "relevance_signals": [ "UAV_NO_CTX" ], "auto_exclude_reason": "EC-4-topic", "screening_status": "auto_excluded", "screened_by": "auto-v1.0.0" }, { "id": "doi:10.4050/f-0079-2023-18131", "doi": "10.4050/f-0079-2023-18131", "title": "Simulation-Assisted, Weather-Aware Urban Air Mobility System Planning", "year": 2023, "authors": [ "Michael E. Yablonski", "Alexander Klein" ], "first_author": "Michael E. Yablonski", "venue": null, "volume": null, "pages": null, "type": "conference-paper", "language": "en", "abstract": "The emergence of Urban Air Mobility (UAM) as a novel mode of transportation presents new challenges to government and commercial stakeholders: new vehicle types are being introduced for which supporting infrastructure, such as new routes and vertiports, needs to be designed and put in place, often in the vicinity of airports; community concerns need to be addressed; and inclement weather is a potential disruptive factor. In this new UAM paradigm, simulation modeling is an indispensable tool for aviation planners in identifying optimal solutions to these challenges. AvMet and Kimley-Horn have developed an efficient process for UAM simulation study planning and execution, facilitating rapid turnaround through collaborative model development. This streamlined process, from UAM airspace design and flight schedule development to fast-time simulation modeling, to advanced 3D visualization, can greatly reduce the study completion time and allow for a variety of UAM scenario alternatives to be explored, evaluated from a cost-benefit perspective, and presented to stakeholders. A key component of this process is AvMet's state-of-the-art UAM Simulation Model (USM). In this paper, we provide UAM scenario setup examples and simulation results utilizing the USM, as well as describing the study planning and modeling process.", "keywords": [ "Process (computing)", "Computer science", "Visualization", "Aviation", "Schedule", "Systems engineering", "Component (thermodynamics)", "Variety (cybernetics)", "Key (lock)", "Simulation", "Engineering", "Aerospace engineering" ], "cited_by_openalex": 0, "cited_by_scopus": 0, "eid": null, "pii": null, "open_access_url": "https://doi.org/10.4050/F-0079-2023-18131", "sources": [ { "db": "openalex", "stream": "UAV", "query_id": "UAV-3" } ], "streams": [ "UAV" ], "relevance_signals": [ "UAV_NO_CTX" ], "auto_exclude_reason": "EC-4-topic", "screening_status": "auto_excluded", "screened_by": "auto-v1.0.0" }, { "id": "doi:10.61653/joast.v63i2.2011.534", "doi": "10.61653/joast.v63i2.2011.534", "title": "Estimation of Load on Control Lines of Ram Air Parachute Designed for Precise Delivery Using 9-Dof Model", "year": 2023, "authors": [ "Balraj Gupta", "Vipin Kumar", "Ravi Krishna", "S. C. Upadhyaya", "A.K. Ghosh" ], "first_author": "Balraj Gupta", "venue": "Journal of Aerospace Sciences and Technologies", "volume": null, "pages": null, "type": "article", "language": "en", "abstract": "Controlled Aerial Delivery System (CADS) consists of Ram Air Parachute (RAP) Airborne Guidance Unit (AGU) and useful payload. AGU pulls the control lines attached to the control surfaces of RAP and provides required maneuverability to the system. Estimation of load on control lines is essential for design and development of Airborne Guidance Unit (AGU). This paper presents the mathematical methods of the estimation of load on control lines the results of which are validated by experiments. The mathematical estimate of the load on control lines was carried out by developing a model similar to the aircraft control surface hinge moment estimation. The mathematical model was incorporated in 9DOF model to arrive at real time load estimation on control lines during inflation and subsequent steady flight condition. Experimental results are obtained during flight trials by using load cells on control lines and current sensor on power line of actuators. The mathematical results are in good agreement with the experimental results. The load on control lines are within 6 to 8% of the suspended load.", "keywords": [ "Payload (computing)", "Line (geometry)", "Actuator", "Control system", "Moment (physics)", "Power (physics)", "Control theory (sociology)", "Simulation", "Computer science", "Engineering", "Control (management)", "Automotive engineering" ], "cited_by_openalex": 0, "cited_by_scopus": 0, "eid": null, "pii": null, "open_access_url": "https://www.joast.org/index.php/joast/article/download/534/523", "sources": [ { "db": "openalex", "stream": "UAV", "query_id": "UAV-3" } ], "streams": [ "UAV" ], "relevance_signals": [ "UAV_NO_CTX" ], "auto_exclude_reason": "EC-4-topic", "screening_status": "auto_excluded", "screened_by": "auto-v1.0.0" }, { "id": "doi:10.2514/6.2023-4050", "doi": "10.2514/6.2023-4050", "title": "Feasibility Analysis of a Flying Car with In-Wheel Electric Ducted Fans", "year": 2023, "authors": [ "Markus M. Sailer", "David E. Lampl", "Sophie Franziska Armanini" ], "first_author": "Markus M. Sailer", "venue": "AIAA Aviation and Aeronautics Forum and Exposition AIAA Aviation Forum 2023", "volume": null, "pages": null, "type": "conference-paper", "language": "en", "abstract": "View Video Presentation: https://doi.org/10.2514/6.2023-4050.vid A majority of known vehicle concepts with driving and flying capabilities are a compromise solution, resulting in drawbacks in both operating modes. An approach based on implementing ducted fans concentrically inside the wheels promises synergies thanks to high functional integration. This article presents and discusses conceptual solutions, design considerations and challenges. Electric propulsion in combination with thorough transmission design allows for high-performance lateral and longitudinal driving dynamics. The same motors can be used for flight. The rims have a double function as duct for the integrated fan, which allows for higher lift generation with a smaller fan diameter. The in-wheel electric ducted fan unit is tilted for flight mode. This enables Vertical Take-Off and Landing (VTOL), allows for vertiport usage, and offers time-saving potential in case of traffic congestion. The presented mission reflects this use case. The feasibility of two different electric designs is assessed with a design approach involving Monte Carlo Simulations. A feasibility assessment framework based on momentum theory shows that even best-case setups imply infeasible requirements for battery technology. Thus, a turbo-electric approach is sized with an empty weight model respecting car properties and performance characteristics of modern helicopter engines. The obtained design is further analyzed with regard to noise emissions and time savings potential. A parameter study adds confidence in the feasibility statement.", "keywords": [ "Automotive engineering", "Aeronautics", "Aerospace engineering", "Computer science", "Engineering" ], "cited_by_openalex": 0, "cited_by_scopus": "0", "eid": "2-s2.0-85200215452", "pii": null, "open_access_url": "https://doi.org/10.2514/6.2023-4050", "sources": [ { "db": "openalex", "stream": "UAV", "query_id": "UAV-3" }, { "db": "scopus", "stream": "UAV", "query_id": "UAV-3" } ], "streams": [ "UAV" ], "relevance_signals": [ "UAV_NO_CTX" ], "auto_exclude_reason": "EC-4-topic", "screening_status": "auto_excluded", "screened_by": "auto-v1.0.0" }, { "id": "doi:10.5281/zenodo.18531672", "doi": "10.5281/zenodo.18531672", "title": "Cost-effectiveness of Drone versus Road Transport for Blood Delivery in Rural Rwandan Obstetric Emergencies: A Short Report", "year": 2023, "authors": [ "Alice Mukamana", "Jean de Dieu Uwimana", "Jean-Paul Niyonzima" ], "first_author": "Alice Mukamana", "venue": "Zenodo (CERN European Organization for Nuclear Research)", "volume": null, "pages": null, "type": "article", "language": "en", "abstract": "Postpartum haemorrhage is a leading cause of maternal mortality in rural Rwanda. Timely access to blood products is frequently delayed by difficult terrain and inadequate road infrastructure, contributing to preventable deaths. This short report conducted a comparative cost-effectiveness analysis of unmanned aerial vehicles (drones) versus conventional road transport for emergency blood delivery to rural health centres in Rwanda's Eastern Region. A decision-analytic model was developed using operational data from a drone delivery service and comparator road transport data. The analysis incorporated direct costs of transport, storage, and personnel, alongside health outcome data related to blood delivery times for obstetric haemorrhage. The primary outcome was the incremental cost-effectiveness ratio (ICER) per life-year saved. Drone delivery was more cost-effective than road transport for distances over 25 kilometres. The model estimated that drone delivery reduced the mean time to blood receipt by 58%. The ICER for drone delivery fell below a commonly referenced cost-effectiveness threshold for Rwanda. Drone-based delivery of blood products for obstetric emergencies in rural Rwanda is a cost-effective strategy compared to road transport, particularly for longer distances. It can reduce transport-related delays in emergency care. Policy makers should consider integrating drone delivery networks into national blood supply chains for remote areas. Further operational research is needed to optimise integration with existing emergency response systems and assess scalability. drones, unmanned aerial vehicles, cost-effectiveness, maternal health, postpartum haemorrhage, blood delivery, Rwanda, emergency obstetric care This analysis provides evidence for health policy and planning, demonstrating the economic and operational viability of drone technology in strengthening emergency blood supply systems.", "keywords": [ "Drone", "Receipt", "Rural area", "Telemedicine", "Health care", "Pregnancy", "Service delivery framework" ], "cited_by_openalex": 0, "cited_by_scopus": 0, "eid": null, "pii": null, "open_access_url": "https://doi.org/10.5281/zenodo.18531672", "sources": [ { "db": "openalex", "stream": "UAV", "query_id": "UAV-3" } ], "streams": [ "UAV" ], "relevance_signals": [ "UAV_NO_CTX" ], "auto_exclude_reason": "EC-4-topic", "screening_status": "auto_excluded", "screened_by": "auto-v1.0.0" }, { "id": "doi:10.2514/6.2023-4500", "doi": "10.2514/6.2023-4500", "title": "UAM Demand Capacity Modeling through Ensemble Learning", "year": 2023, "authors": [ "Sricharan K. Ayyalasomayajula", "Steven Lavenstein", "Kleoniki Vlachou", "David Miller", "Stephen Kozak" ], "first_author": "Sricharan K. Ayyalasomayajula", "venue": null, "volume": null, "pages": null, "type": "conference-paper", "language": "en", "abstract": "View Video Presentation: https://doi.org/10.2514/6.2023-4500.vid This paper presents “UAM Demand Capacity Modeling through Ensemble Learning” (UDC-ModEL) as a decision-support tool to address the constraints and requirements of both Urban Air Mobility (UAM) operators and Providers of Services for UAM (PSUs). The motivation for UDC-ModEL arose from the fact that the expected electric vertical takeoff/landing aircraft (eVTOL) to enable UAM, while offering many advantages over conventional gasoline fueled aircraft, suffer from critical limitations: long charging times, small battery reserves to implement hold patterns and other congestion mitigation procedures, and so on. Consequently, UAM operators require accurate understanding of available airspace capacity to schedule their operations and manage their fleet’s energy resources. That is, there is a need for accurate estimation of available capacity and how the prevalent demand can be balanced, known as demand capacity balancing (DCB). UDC-ModEL was developed to accurately and rapidly model DCB at UAM vertiports by leveraging the latest advances in machine learning and artificial intelligence and is agnostic to the UAM market’s location or the eVTOL fleet mix used by a UAM operator. We applied UDC-ModEL to New York City (NYC) as a test case, whose results will also be described in this paper.", "keywords": [ "Computer science", "Battery capacity", "Takeoff", "Schedule", "Capacity planning", "Battery (electricity)", "Operations research", "Simulation", "Automotive engineering", "Engineering" ], "cited_by_openalex": 0, "cited_by_scopus": 0, "eid": null, "pii": null, "open_access_url": "https://doi.org/10.2514/6.2023-4500", "sources": [ { "db": "openalex", "stream": "UAV", "query_id": "UAV-3" } ], "streams": [ "UAV" ], "relevance_signals": [ "UAV_NO_CTX" ], "auto_exclude_reason": "EC-4-topic", "screening_status": "auto_excluded", "screened_by": "auto-v1.0.0" }, { "id": "doi:10.5281/zenodo.18531670", "doi": "10.5281/zenodo.18531670", "title": "Cost-effectiveness of Drone versus Road Transport for Blood Delivery in Rural Rwandan Obstetric Emergencies: A Short Report", "year": 2023, "authors": [ "Alice Mukamana", "Jean de Dieu Uwimana", "Jean-Paul Niyonzima" ], "first_author": "Alice Mukamana", "venue": "Zenodo (CERN European Organization for Nuclear Research)", "volume": null, "pages": null, "type": "article", "language": "en", "abstract": "Postpartum haemorrhage is a leading cause of maternal mortality in rural Rwanda. Timely access to blood products is frequently delayed by difficult terrain and inadequate road infrastructure, contributing to preventable deaths. This short report conducted a comparative cost-effectiveness analysis of unmanned aerial vehicles (drones) versus conventional road transport for emergency blood delivery to rural health centres in Rwanda's Eastern Region. A decision-analytic model was developed using operational data from a drone delivery service and comparator road transport data. The analysis incorporated direct costs of transport, storage, and personnel, alongside health outcome data related to blood delivery times for obstetric haemorrhage. The primary outcome was the incremental cost-effectiveness ratio (ICER) per life-year saved. Drone delivery was more cost-effective than road transport for distances over 25 kilometres. The model estimated that drone delivery reduced the mean time to blood receipt by 58%. The ICER for drone delivery fell below a commonly referenced cost-effectiveness threshold for Rwanda. Drone-based delivery of blood products for obstetric emergencies in rural Rwanda is a cost-effective strategy compared to road transport, particularly for longer distances. It can reduce transport-related delays in emergency care. Policy makers should consider integrating drone delivery networks into national blood supply chains for remote areas. Further operational research is needed to optimise integration with existing emergency response systems and assess scalability. drones, unmanned aerial vehicles, cost-effectiveness, maternal health, postpartum haemorrhage, blood delivery, Rwanda, emergency obstetric care This analysis provides evidence for health policy and planning, demonstrating the economic and operational viability of drone technology in strengthening emergency blood supply systems.", "keywords": [ "Drone", "Receipt", "Rural area", "Telemedicine", "Health care", "Pregnancy", "Service delivery framework" ], "cited_by_openalex": 0, "cited_by_scopus": 0, "eid": null, "pii": null, "open_access_url": "https://doi.org/10.5281/zenodo.18531670", "sources": [ { "db": "openalex", "stream": "UAV", "query_id": "UAV-3" } ], "streams": [ "UAV" ], "relevance_signals": [ "UAV_NO_CTX" ], "auto_exclude_reason": "EC-4-topic", "screening_status": "auto_excluded", "screened_by": "auto-v1.0.0" }, { "id": "doi:10.1111/trf.381_17554", "doi": "10.1111/trf.381_17554", "title": "P‐TS‐44 | Improving Blood Availability in Low‐ and Middle‐Income Countries through Drone‐Based Blood Delivery: Conclusions from an International Working Group.", "year": 2023, "authors": [ "Sahil Virk", "H. Arora", "Lucy Asamoah‐Akuoko", "Meghan Delaney", "Marie Paul Nisingizwe", "Nobhojit Roy", "Y. Abdella", "G. Swaibu", "Vishaka Raguveer", "N. Raykar" ], "first_author": "Sahil Virk", "venue": "Transfusion", "volume": null, "pages": null, "type": "article", "language": "en", "abstract": "Millions live without access to sufficient blood transfusion services in remote regions of low-and-middle-income countries (LMICs), effectively creating “blood deserts.” The traditional blood banking system is logistically complex and expensive to implement in rural settings, requiring considerable transfusion-specific infrastructure and workforce, and reliant on road travel. Where innovative, multidisciplinary approaches are needed in blood deserts, drone-based blood delivery can aid in streamlining the infrastructure needs and reduce transport time. To explore the potential of drone-based blood delivery for blood transfusions in LMIC blood deserts, a white paper was developed focusing on the current applications of this technology, identifying knowledge gaps, and implementation considerations including future arenas for research and policy. Six international experts (“delegates”) in surgery, transfusion medicine, and public policy were convened as a part of the Innovative Blood Transfusion Strategies for Blood Deserts in Low- and Middle-Income Countries Radcliffe Seminar. The exploratory process included guided reviews of peer-reviewed and gray literature, three group discussions with delegates, seven individual interviews with delegates and additional experts, and a large group discussion with the remaining sixteen delegates during the Seminar. We summarized the current state of the field and existing technologies after extensive research and recognized that while there are smaller companies entering this space, Zipline is the most widely recognized currently. Several factors including geographical and regulatory guidelines, public-private partnerships, and infrastructure would require consideration for successful implementation. Knowledge gaps and barriers namely blood availability, community engagement, and capital investment were identified and to overcome these challenges an implementation plan was laid prioritizing important areas for future study, advocacy, and legislation. Innovative strategies are urgently needed to address the lack of blood transfusion services in LMIC blood deserts. The white paper provides an outline for addressing the challenges associated and leveraging the potential benefits of drone-based delivery to improve blood delivery.", "keywords": [ "Medicine", "Blood transfusion", "Low and middle income countries", "Family medicine", "Developing country", "Library science", "Surgery", "Economic growth" ], "cited_by_openalex": 0, "cited_by_scopus": 0, "eid": null, "pii": null, "open_access_url": "https://doi.org/10.1111/trf.381_17554", "sources": [ { "db": "openalex", "stream": "UAV", "query_id": "UAV-3" } ], "streams": [ "UAV" ], "relevance_signals": [ "UAV_NO_CTX" ], "auto_exclude_reason": "EC-4-topic", "screening_status": "auto_excluded", "screened_by": "auto-v1.0.0" }, { "id": "doi:10.7315/cde.2023.273", "doi": "10.7315/cde.2023.273", "title": "Analysis of Real-Time Simulation Model for Determining the Drop Point from Unmanned Aerial Vehicles", "year": 2023, "authors": [ "Ho-Jin Hwang" ], "first_author": "Ho-Jin Hwang", "venue": "Korean Journal of Computational Design and Engineering", "volume": null, "pages": null, "type": "article", "language": "en", "abstract": "With the increasing importance of initial response in emergency maritime rescue systems, there has been a rise in applications involving aerial delivery or dropping of objects from unmanned vehicles. Training plays a vital role in supporting mission execution in military and emergency situations. However, real-world training encounters limitations in terms of cost and safety, making virtual training a viable alternative. This paper analyzes and proposes approaches for realtime simulation of dropping object from unmanned vehicles for educational training purposes. The educational training simulation models can be classified into three categories: physics-based simulation mathematical models, data-driven search models, and probability-based simulation estimation models. Physics-based models ensure accuracy, but real-time processing is challenging. Data-driven models, on the other hand, cannot adapt to new input conditions. Therefore, a probability-based simulation estimation model, considering uncertainties, is deemed suitable for educational training simulations. The probability-based model provides estimation outputs based on probability distributions, accommodating diverse variables. To implement a specific probability-based estimation model, diverse environmental input conditions should be utilized, and simulation results must be compared and validated against mathematical models. The model", "keywords": [ "Point (geometry)", "Simulation modeling", "Computer science", "Simulation", "Training (meteorology)", "Estimation", "Engineering", "Systems engineering" ], "cited_by_openalex": 0, "cited_by_scopus": 0, "eid": null, "pii": null, "open_access_url": "https://doi.org/10.7315/cde.2023.273", "sources": [ { "db": "openalex", "stream": "UAV", "query_id": "UAV-3" } ], "streams": [ "UAV" ], "relevance_signals": [ "UAV_NO_CTX" ], "auto_exclude_reason": "EC-4-topic", "screening_status": "auto_excluded", "screened_by": "auto-v1.0.0" }, { "id": "doi:10.31031/acam.2023.07.000678", "doi": "10.31031/acam.2023.07.000678", "title": "Contaminated Waters and Depleted Soils: Impact in Nutrition", "year": 2023, "authors": [ "Ana Lúcia Ramalho Mercê" ], "first_author": "Ana Lúcia Ramalho Mercê", "venue": "Advances in Complementary & Alternative Medicine", "volume": null, "pages": null, "type": "article", "language": "en", "abstract": "Toxic elements can contaminate edible crops either from water (rainfall, wastewater…), air (atmospheric dust, aerial delivery of pesticides, industrial and mine activities, heavy traTic ways, chemtrails…), and soil (contaminated site, industrial and mine activities…).Many transition metals are essential to many enzymatic and proteomic biochemistry, these metal ions being susceptible of being replaced by the toxic ones that bear similar chemical properties.They all end up in human bodies with various nefarious consequences.Metal uptake by roots of the edible crops is dependent on the metal chemistry and its speciation according to redox and pH conditions of the soil, the plants in question and the soil geology.Some chemistry theory concerning acids and bases, very easy to grasp, are presented in order to understand how some metal ions and metalloids can be more tenacious to be detoxified in our body than others, that are excreted easier.These considerations are stated in the Pearson's Hard and Soft Acids and Bases Theory (HSAB), where soft Lewis acids and bases are relatively large, polarizable atoms, ions, and molecules and hard Lewis acids and bases are relatively small and less polarizable, explaining the synthetic and natural molecules structure acting as antidotes for intoxication chelation treatment and prevention.Some chemical antidotes for heavy metal intoxication are discussed, synthetic and natural ones, the latest present in medicinal herbs and other edible plants.", "keywords": [ "Soil water", "Environmental science", "Environmental chemistry", "Chemistry", "Soil science" ], "cited_by_openalex": 0, "cited_by_scopus": 0, "eid": null, "pii": null, "open_access_url": "http://crimsonpublishers.com/acam/pdf/ACAM.000678.pdf", "sources": [ { "db": "openalex", "stream": "UAV", "query_id": "UAV-3" } ], "streams": [ "UAV" ], "relevance_signals": [ "UAV_NO_CTX" ], "auto_exclude_reason": "EC-4-topic", "screening_status": "auto_excluded", "screened_by": "auto-v1.0.0" }, { "id": "doi:10.1101/2023.06.16.23291517", "doi": "10.1101/2023.06.16.23291517", "title": "Improving early infant diagnosis for HIV-exposed infants using unmanned aerial vehicles versus motorcycles for blood sample in Conakry, Guinea: a comparative cost-effectiveness analysis", "year": 2023, "authors": [ "Maxime Inghels", "Paul Mee", "Oumou Hawa Diallo", "Mohamed Elmouloud Cissé", "David O. Nelson", "Frank C Tanser", "Zahid B Asghar", "Youssouf Koita", "Gabrièle Laborde-Balen", "Guillaume Breton" ], "first_author": "Maxime Inghels", "venue": "medRxiv", "volume": null, "pages": null, "type": "preprint", "language": "en", "abstract": "Background Early infant diagnosis (EID) for HIV-exposed infants is essential due to high mortality during the first months of their lives. In Conakry (Guinea) timely EID is difficult as traffic congestion prevents the rapid transport of blood samples to the central laboratory. We investigated the cost-effectiveness of transporting EID blood samples by unmanned aerial vehicles (UAV), also known as drones. Methods and Findings We conducted a cost-effectiveness comparative analysis between EID blood samples transportation by UAV compared to motorcycle using Monte Carlo simulations. Incremental cost-effectiveness ratio (ICER) per life-year gained was computed with local annual GDP per capita (US$1,194) set as the threshold. Simulation models included parameters such as consultation timing (e.g. time of arrival), motorcycle and UAV characteristics, weather and traffic conditions. Sensitivity analyses were conducted. Over a 5-year program and 778 HIV-exposed infants seen in consultation on average every year, the UAV transport strategy was able to save 49.6 life-years [90% PI: -1.3 –100.5]. The UAV strategy costs an additional of $12.4 [10.2 –14.6] per infant tested compared to the motorcycle one. With an ICER of $979 per life-year gained, the UAV transportation strategy was below the cost-effectiveness threshold. The ICER is primarily sensitive to weather-related downtime, UAV loss risk, number of HIV-infected infants and travel time saved by UAV. Conclusion The transportation of EID blood samples by UAVs in Conakry was found to be cost effective in that context. EID blood samples transportation by UAV could be a cost-effective strategy in other countries with traffic congestion and low rate of EID. What is already known on this topic The cost-effectiveness of Unmanned aerial vehicles—UAV (drones) transportation for blood products remains limited in the Global South. We aimed to investigate the cost-effectiveness of urgent blood sample transportation for early HIV infant diagnosis (EID) by UAV compared to motorcycle in the region of Conakry, Guinea. What this study adds We found that UAV transportation for EID was faster, saved more lives than motorcycles and was cost-effective (Incremental cost-effectiveness ratio: US$979 per life-year gained) The effectiveness of the drone strategy was primarily sensitive to weather-related downtime, UAV loss risk, number of HIV-infected infants and travel time saved by UAV. How this study might affect research, practice or policy Our study suggests that the transportation of EID blood could be cost-effective in the Conakry region. Other low-or middle-income cities experiencing important traffic congestion with low EID could benefit from this strategy.", "keywords": [ "Medicine", "Context (archaeology)", "Human immunodeficiency virus (HIV)", "Geography", "Immunology" ], "cited_by_openalex": 0, "cited_by_scopus": 0, "eid": null, "pii": null, "open_access_url": "https://www.medrxiv.org/content/medrxiv/early/2023/06/19/2023.06.16.23291517.full.pdf", "sources": [ { "db": "openalex", "stream": "UAV", "query_id": "UAV-3" } ], "streams": [ "UAV" ], "relevance_signals": [ "UAV_NO_CTX" ], "auto_exclude_reason": "EC-4-topic", "screening_status": "auto_excluded", "screened_by": "auto-v1.0.0" }, { "id": "doi:10.15488/15283", "doi": "10.15488/15283", "title": "Sustainable Urban Logistics Model Applied to Food Trucks. Case Study and Descriptive Analysis", "year": 2023, "authors": [ "Madrid A.F.P." ], "first_author": "Madrid A.F.P.", "venue": "Proceedings of the Conference on Production Systems and Logistics", "volume": null, "pages": "935-946", "type": "Conference Paper", "language": null, "abstract": null, "keywords": [], "cited_by_openalex": 0, "cited_by_scopus": "0", "eid": "2-s2.0-85187990395", "pii": null, "open_access_url": null, "sources": [ { "db": "scopus", "stream": "TRUCK", "query_id": "TRUCK-1" } ], "streams": [ "TRUCK" ], "relevance_signals": [ "TRUCK" ], "auto_exclude_reason": null, "screening_status": "pending_human_screening", "screened_by": "auto-v1.0.0" }, { "id": "doi:10.51202/9783181024218-93", "doi": "10.51202/9783181024218-93", "title": "Valeo hybrid solutions for Commercial Vehicle: 48V and HV hybrid solution", "year": 2023, "authors": [ "Vassieux L." ], "first_author": "Vassieux L.", "venue": "VDI Berichte", "volume": "2023", "pages": "93-108", "type": "Article", "language": null, "abstract": null, "keywords": [], "cited_by_openalex": 0, "cited_by_scopus": "0", "eid": "2-s2.0-85174681647", "pii": null, "open_access_url": null, "sources": [ { "db": "scopus", "stream": "TRUCK", "query_id": "TRUCK-1" } ], "streams": [ "TRUCK" ], "relevance_signals": [ "NO_TECHNOLOGY_MATCH" ], "auto_exclude_reason": "EC-4-topic", "screening_status": "auto_excluded", "screened_by": "auto-v1.0.0" }, { "id": "title:building a simulation based distribution system with electric freight vehicles", "doi": null, "title": "BUILDING A SIMULATION-BASED DISTRIBUTION SYSTEM WITH ELECTRIC FREIGHT VEHICLES", "year": 2023, "authors": [ "Brlek P." ], "first_author": "Brlek P.", "venue": "Icil 2023 International Conference on Industrial Logistics Conference Proceedings", "volume": null, "pages": "16-23", "type": "Conference Paper", "language": null, "abstract": null, "keywords": [], "cited_by_openalex": 0, "cited_by_scopus": "0", "eid": "2-s2.0-85168759903", "pii": null, "open_access_url": null, "sources": [ { "db": "scopus", "stream": "TRUCK", "query_id": "TRUCK-1" } ], "streams": [ "TRUCK" ], "relevance_signals": [ "TRUCK_NO_CTX" ], "auto_exclude_reason": "EC-4-topic", "screening_status": "auto_excluded", "screened_by": "auto-v1.0.0" }, { "id": "doi:10.21872/2023iise_3687", "doi": "10.21872/2023iise_3687", "title": "A Column Generation-Based Heuristic Algorithm for Solving a Cooperative Two-Echelon Truck and Drone Routing Problem in Humanitarian Relief Operations", "year": 2023, "authors": [ "Rahman M.M." ], "first_author": "Rahman M.M.", "venue": "Iise Annual Conference and Expo 2023", "volume": null, "pages": "163-168", "type": "Conference Paper", "language": null, "abstract": null, "keywords": [], "cited_by_openalex": 0, "cited_by_scopus": "0", "eid": "2-s2.0-85189616207", "pii": null, "open_access_url": null, "sources": [ { "db": "scopus", "stream": "TRUCK", "query_id": "TRUCK-1" }, { "db": "scopus", "stream": "UAV", "query_id": "UAV-1" }, { "db": "scopus", "stream": "UAV", "query_id": "UAV-2" } ], "streams": [ "TRUCK", "UAV" ], "relevance_signals": [ "UAV_NO_CTX", "TRUCK_NO_CTX" ], "auto_exclude_reason": "EC-4-topic", "screening_status": "auto_excluded", "screened_by": "auto-v1.0.0" }, { "id": "title:optimization of parallel drone scheduling distribution route considering impact of epidemic", "doi": null, "title": "Optimization of Parallel Drone Scheduling Distribution Route Considering Impact of Epidemic", "year": 2023, "authors": [ "Tong Z." ], "first_author": "Tong Z.", "venue": "Proceedings of the 12th International Conference on Logistics and Systems Engineering", "volume": null, "pages": "394-406", "type": "Conference Paper", "language": null, "abstract": null, "keywords": [], "cited_by_openalex": 0, "cited_by_scopus": "0", "eid": "2-s2.0-85168774975", "pii": null, "open_access_url": null, "sources": [ { "db": "scopus", "stream": "TRUCK", "query_id": "TRUCK-1" }, { "db": "scopus", "stream": "UAV", "query_id": "UAV-1" } ], "streams": [ "TRUCK", "UAV" ], "relevance_signals": [ "UAV_NO_CTX" ], "auto_exclude_reason": "EC-4-topic", "screening_status": "auto_excluded", "screened_by": "auto-v1.0.0" }, { "id": "title:proceedings from 13th research symposium of 15th urban mobility india conference and expo 2022", "doi": null, "title": "Proceedings from 13th Research Symposium of 15th Urban Mobility India Conference and Expo 2022", "year": 2023, "authors": [], "first_author": null, "venue": "Lecture Notes in Civil Engineering", "volume": "361 LNCE", "pages": null, "type": "Conference Review", "language": null, "abstract": null, "keywords": [], "cited_by_openalex": 0, "cited_by_scopus": "0", "eid": "2-s2.0-85172699866", "pii": null, "open_access_url": null, "sources": [ { "db": "scopus", "stream": "TRUCK", "query_id": "TRUCK-1" } ], "streams": [ "TRUCK" ], "relevance_signals": [ "NO_TECHNOLOGY_MATCH" ], "auto_exclude_reason": "EC-4-topic", "screening_status": "auto_excluded", "screened_by": "auto-v1.0.0" }, { 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International Conference on Automation, AUTOMATION 2023", "year": 2023, "authors": [], "first_author": null, "venue": "Lecture Notes in Networks and Systems", "volume": "630 LNNS", "pages": null, "type": "Conference Review", "language": null, "abstract": null, "keywords": [], "cited_by_openalex": 0, "cited_by_scopus": "0", "eid": "2-s2.0-85148027787", "pii": null, "open_access_url": null, "sources": [ { "db": "scopus", "stream": "UAV", "query_id": "UAV-2" } ], "streams": [ "UAV" ], "relevance_signals": [ "NO_TECHNOLOGY_MATCH" ], "auto_exclude_reason": "EC-4-topic", "screening_status": "auto_excluded", "screened_by": "auto-v1.0.0" }, { "id": "doi:10.1007/978-3-031-47262-6_21", "doi": "10.1007/978-3-031-47262-6_21", "title": "A Conceptual Modeling Approach for Risk Assessment and Mitigation in Collision-Free UAV Routing Planning for Beyond-the-Visual-Line-of-Sight Flights", "year": 2023, "authors": [ "Burmester G." ], "first_author": "Burmester G.", "venue": "Lecture Notes in Computer Science", "volume": "14320 LNCS", "pages": "394-411", "type": "Conference Paper", "language": null, "abstract": null, "keywords": [], "cited_by_openalex": 0, "cited_by_scopus": "0", "eid": "2-s2.0-85177433307", "pii": null, "open_access_url": null, "sources": [ { "db": "scopus", "stream": "UAV", "query_id": "UAV-2" } ], "streams": [ "UAV" ], "relevance_signals": [ "UAV_NO_CTX" ], "auto_exclude_reason": "EC-4-topic", "screening_status": "auto_excluded", "screened_by": "auto-v1.0.0" }, { "id": "title:vertiport passenger security standard vpss", "doi": null, "title": "Vertiport Passenger Security Standard (VPSS)", "year": 2023, "authors": [ "Saleh I." ], "first_author": "Saleh I.", "venue": "Forum 2023 Vertical Flight Society 79th Annual Forum and Technology Display", "volume": null, "pages": null, "type": "Conference Paper", "language": null, "abstract": null, "keywords": [], "cited_by_openalex": 0, "cited_by_scopus": "0", "eid": "2-s2.0-85167707286", "pii": null, "open_access_url": null, "sources": [ { "db": "scopus", "stream": "UAV", "query_id": "UAV-3" } ], "streams": [ "UAV" ], "relevance_signals": [ "UAV_NO_CTX" ], "auto_exclude_reason": "EC-4-topic", "screening_status": "auto_excluded", "screened_by": "auto-v1.0.0" }, { "id": "title:we vertiport 6 are temporarily closed interactional ontological methods for changing the destination", "doi": null, "title": "We, Vertiport 6, Are Temporarily Closed: Interactional Ontological Methods for Changing the Destination", "year": 2023, "authors": [ "Woo S." ], "first_author": "Woo S.", "venue": "Ceur Workshop Proceedings", "volume": "3595", "pages": null, "type": "Conference Paper", "language": null, "abstract": null, "keywords": [], "cited_by_openalex": 0, "cited_by_scopus": "0", "eid": "2-s2.0-85182277074", "pii": null, "open_access_url": null, "sources": [ { "db": "scopus", "stream": "UAV", "query_id": "UAV-3" } ], "streams": [ "UAV" ], "relevance_signals": [ "UAV_NO_CTX" ], "auto_exclude_reason": "EC-4-topic", "screening_status": "auto_excluded", "screened_by": "auto-v1.0.0" }, { "id": "title:robontics 2023 proceedings of the workshop on ontologies for autonomous robotics co located with the", "doi": null, "title": "RobOntics 2023 - Proceedings of the Workshop on Ontologies for Autonomous Robotics, co-located with the 32nd IEEE International Conference on Robot and Human Interactive Communication, RO-MAN 2023", "year": 2023, "authors": [], "first_author": null, "venue": "Ceur Workshop Proceedings", "volume": "3595", "pages": null, "type": "Conference Review", "language": null, "abstract": null, "keywords": [], "cited_by_openalex": 0, "cited_by_scopus": "0", "eid": "2-s2.0-85182371862", "pii": null, "open_access_url": null, "sources": [ { "db": "scopus", "stream": "UAV", "query_id": "UAV-3" } ], "streams": [ "UAV" ], "relevance_signals": [ "NO_TECHNOLOGY_MATCH" ], "auto_exclude_reason": "EC-4-topic", "screening_status": "auto_excluded", "screened_by": "auto-v1.0.0" }, { "id": "doi:10.1007/978-3-031-29933-9_31", "doi": "10.1007/978-3-031-29933-9_31", "title": "Applications of Drones in the Field of Health and Future Perspectives", "year": 2023, "authors": [ "Yigit K.A." ], "first_author": "Yigit K.A.", "venue": "Sustainable Aviation", "volume": "Part F4673", "pages": "279-285", "type": "Book Chapter", "language": null, "abstract": null, "keywords": [], "cited_by_openalex": 0, "cited_by_scopus": "0", "eid": "2-s2.0-105006816279", "pii": null, "open_access_url": null, "sources": [ { "db": "scopus", "stream": "UAV", "query_id": "UAV-3" } ], "streams": [ "UAV" ], "relevance_signals": [ "UAV_NO_CTX" ], "auto_exclude_reason": "EC-4-topic", "screening_status": "auto_excluded", "screened_by": "auto-v1.0.0" }, { "id": "doi:10.3390/drones6060147", "doi": "10.3390/drones6060147", "title": "Towards the Unmanned Aerial Vehicles (UAVs): A Comprehensive Review", "year": 2022, "authors": [ "Syed Agha Hassnain Mohsan", "Muhammad Asghar Khan", "Fazal Noor", "Insaf Ullah", "Mohammed H. Alsharif" ], "first_author": "Syed Agha Hassnain Mohsan", "venue": "Drones", "volume": "6", "pages": null, "type": "article", "language": "en", "abstract": "Recently, unmanned aerial vehicles (UAVs), also known as drones, have come in a great diversity of several applications such as military, construction, image and video mapping, medical, search and rescue, parcel delivery, hidden area exploration, oil rigs and power line monitoring, precision farming, wireless communication and aerial surveillance. The drone industry has been getting significant attention as a model of manufacturing, service and delivery convergence, introducing synergy with the coexistence of different emerging domains. UAVs offer implicit peculiarities such as increased airborne time and payload capabilities, swift mobility, and access to remote and disaster areas. Despite these potential features, including extensive variety of usage, high maneuverability, and cost-efficiency, drones are still limited in terms of battery endurance, flight autonomy and constrained flight time to perform persistent missions. Other critical concerns are battery endurance and the weight of drones, which must be kept low. Intuitively it is not suggested to load them with heavy batteries. This study highlights the importance of drones, goals and functionality problems. In this review, a comprehensive study on UAVs, swarms, types, classification, charging, and standardization is presented. In particular, UAV applications, challenges, and security issues are explored in the light of recent research studies and development. Finally, this review identifies the research gap and presents future research directions regarding UAVs.", "keywords": [ "Drone", "Payload (computing)", "Computer science", "Standardization", "Variety (cybernetics)", "Systems engineering", "Aeronautics", "Computer security", "Engineering", "Artificial intelligence" ], "cited_by_openalex": 917, "cited_by_scopus": "945", "eid": "2-s2.0-85132702743", "pii": null, "open_access_url": "https://www.mdpi.com/2504-446X/6/6/147/pdf?version=1655300789", "sources": [ { "db": "openalex", "stream": "UAV", "query_id": "UAV-1" }, { "db": "scopus", "stream": "UAV", "query_id": "UAV-1" } ], "streams": [ "UAV" ], "relevance_signals": [ "UAV" ], "auto_exclude_reason": null, "screening_status": "pending_human_screening", "screened_by": "auto-v1.0.0" }, { "id": "doi:10.1016/j.trc.2022.103901", "doi": "10.1016/j.trc.2022.103901", "title": "Truck–drone hybrid routing problem with time-dependent road travel time", "year": 2022, "authors": [ "Yong Wang", "Zheng Wang", "Xiangpei Hu", "Guiqin Xue", "Xiangyang Guan" ], "first_author": "Yong Wang", "venue": "Transportation Research Part C Emerging Technologies", "volume": "144", "pages": null, "type": "article", "language": "en", "abstract": null, "keywords": [ "Drone", "Truck", "Vehicle routing problem", "Routing (electronic design automation)", "Time travel", "Computer science", "Travel time", "Transport engineering", "Automotive engineering", "Engineering", "Computer network", "Artificial intelligence" ], "cited_by_openalex": 207, "cited_by_scopus": "208", "eid": "2-s2.0-85138475763", "pii": "S0968090X2200314X", "open_access_url": "https://doi.org/10.1016/j.trc.2022.103901", "sources": [ { "db": "openalex", "stream": "TRUCK", "query_id": "TRUCK-1" }, { "db": "openalex", "stream": "UAV", "query_id": "UAV-1" }, { "db": "openalex", "stream": "UAV", "query_id": "UAV-2" }, { "db": "scopus", "stream": "TRUCK", "query_id": "TRUCK-1" }, { "db": "scopus", "stream": "UAV", "query_id": "UAV-1" }, { "db": "scopus", "stream": "UAV", "query_id": "UAV-2" } ], "streams": [ "TRUCK", "UAV" ], "relevance_signals": [ "UAV_NO_CTX", "TRUCK_NO_CTX" ], "auto_exclude_reason": "EC-4-topic", "screening_status": "auto_excluded", "screened_by": "auto-v1.0.0" }, { "id": "doi:10.1016/j.ejor.2022.02.022", "doi": "10.1016/j.ejor.2022.02.022", "title": "Two-echelon vehicle routing problems: A literature review", "year": 2022, "authors": [ "Natasja Sluijk", "Alexandre M. Florio", "Joris Kinable", "Nico Dellaert", "Tom Van Woensel" ], "first_author": "Natasja Sluijk", "venue": "European Journal of Operational Research", "volume": "304", "pages": "865-886", "type": "article", "language": "en", "abstract": "In the two-echelon vehicle routing problem (2E-VRP), the distribution network is split into two echelons. Different vehicles are operated on the first and second echelon to maintain economies of scale and adhere to any vehicle restrictions that may be present in either echelon. Intermediate facilities are located at the borders of the echelons to facilitate the consolidation and transshipment of goods between echelons. Examples of two-echelon distribution systems include express delivery, grocery and hypermarket products distribution, multi-modal freight transportation, city logistics, and e-commerce and home delivery services. In recent years, the body of literature on the 2E-VRP has expanded significantly. Over 60 research papers have appeared in the scientific literature so far, which underlines both the academic and practical relevance of 2E-VRPs. In this review, we structure and revise all literature on the 2E-VRP. Mathematical formulations, exact and heuristic solution methods, and benchmark datasets used to test and evaluate new algorithms are reviewed and discussed. This survey concludes with a selected list of open research areas on 2E-VRPs.", "keywords": [ "Vehicle routing problem", "Transshipment (information security)", "Computer science", "Consolidation (business)", "Benchmark (surveying)", "Operations research", "Heuristic", "Green logistics", "Routing (electronic design automation)", "Business", "Mathematics", "Economics" ], "cited_by_openalex": 236, "cited_by_scopus": "198", "eid": "2-s2.0-85126375111", "pii": "S0377221722001278", "open_access_url": "https://doi.org/10.1016/j.ejor.2022.02.022", "sources": [ { "db": "openalex", "stream": "TRUCK", "query_id": "TRUCK-2" }, { "db": "scopus", "stream": "TRUCK", "query_id": "TRUCK-2" } ], "streams": [ "TRUCK" ], "relevance_signals": [ "NO_TECHNOLOGY_MATCH" ], "auto_exclude_reason": "EC-4-topic", "screening_status": "auto_excluded", "screened_by": "auto-v1.0.0" }, { "id": "doi:10.1016/j.tre.2022.102788", "doi": "10.1016/j.tre.2022.102788", "title": "Collaborative truck multi-drone routing and scheduling problem: Package delivery with flexible launch and recovery sites", "year": 2022, "authors": [ "Mohamed Salama", "Sharan Srinivas" ], "first_author": "Mohamed Salama", "venue": "Transportation Research Part E Logistics and Transportation Review", "volume": "164", "pages": null, "type": "article", "language": "en", "abstract": null, "keywords": [ "Drone", "Truck", "Scheduling (production processes)", "Computer science", "Vehicle routing problem", "Job shop scheduling", "Simulated annealing", "Exploit", "Integer programming", "Routing (electronic design automation)", "Operations research", "Real-time computing" ], "cited_by_openalex": 195, "cited_by_scopus": "197", "eid": "2-s2.0-85133272995", "pii": "S1366554522001776", "open_access_url": "https://doi.org/10.1016/j.tre.2022.102788", "sources": [ { "db": "openalex", "stream": "UAV", "query_id": "UAV-1" }, { "db": "scopus", "stream": "UAV", "query_id": "UAV-1" } ], "streams": [ "UAV" ], "relevance_signals": [ "UAV", "TRUCK" ], "auto_exclude_reason": null, "screening_status": "pending_human_screening", "screened_by": "auto-v1.0.0" }, { "id": "doi:10.3390/drones6070179", "doi": "10.3390/drones6070179", "title": "Urban Air Mobility: Systematic Review of Scientific Publications and Regulations for Vertiport Design and Operations", "year": 2022, "authors": [ "Karolin Schweiger", "Lukas Preis" ], "first_author": "Karolin Schweiger", "venue": "Drones", "volume": "6", "pages": null, "type": "review", "language": "en", "abstract": "Novel electric aircraft designs coupled with intense efforts from academia, government and industry led to a paradigm shift in urban transportation by introducing UAM. While UAM promises to introduce a new mode of transport, it depends on ground infrastructure to operate safely and efficiently in a highly constrained urban environment. Due to its novelty, the research of UAM ground infrastructure is widely scattered. Therefore, this paper selects, categorizes and summarizes existing literature in a systematic fashion and strives to support the harmonization process of contributions made by industry, research and regulatory authorities. Through a document term matrix approach, we identified 49 Scopus-listed scientific publications (2016–2021) addressing the topic of UAM ground infrastructure with respect to airspace operation followed by design, location and network, throughput and capacity, ground operations, cost, safety, regulation, weather and lastly noise and security. Last listed topics from cost onwards appear to be substantially under-represented, but will be influencing current developments and challenges. This manuscript further presents regulatory considerations (Europe, U.S., international) and introduces additional noteworthy scientific publications and industry contributions. Initial uncertainties in naming UAM ground infrastructure seem to be overcome; vertiport is now being predominantly used when speaking about vertical take-off and landing UAM operations.", "keywords": [ "Harmonization", "Government (linguistics)", "Process (computing)", "Novelty", "Scopus", "Computer science", "Transport engineering", "Ground transportation", "Common ground", "Risk analysis (engineering)", "Business", "Engineering" ], "cited_by_openalex": 159, "cited_by_scopus": "181", "eid": "2-s2.0-85136562042", "pii": null, "open_access_url": "https://www.mdpi.com/2504-446X/6/7/179/pdf?version=1658392569", "sources": [ { "db": "openalex", "stream": "UAV", "query_id": "UAV-3" }, { "db": "scopus", "stream": "UAV", "query_id": "UAV-3" } ], "streams": [ "UAV" ], "relevance_signals": [ "UAV" ], "auto_exclude_reason": null, "screening_status": "pending_human_screening", "screened_by": "auto-v1.0.0" }, { "id": "doi:10.1016/j.aei.2022.101536", "doi": "10.1016/j.aei.2022.101536", "title": "Solving the vehicle routing problem with drone for delivery services using an ant colony optimization algorithm", "year": 2022, "authors": [ "Shan-Huen Huang", "Ying‐Hua Huang", "Carola Alejandra Blazquez", "Chia-Yi Chen" ], "first_author": "Shan-Huen Huang", "venue": "Advanced Engineering Informatics", "volume": "51", "pages": null, "type": "article", "language": "en", "abstract": null, "keywords": [ "Drone", "Truck", "Ant colony optimization algorithms", "Vehicle routing problem", "Computer science", "Routing (electronic design automation)", "Service (business)", "Integer programming", "Ant colony", "Operations research", "Engineering", "Mathematical optimization" ], "cited_by_openalex": 175, "cited_by_scopus": "172", "eid": "2-s2.0-85123587242", "pii": "S147403462200012X", "open_access_url": "https://doi.org/10.1016/j.aei.2022.101536", "sources": [ { "db": "openalex", "stream": "UAV", "query_id": "UAV-1" }, { "db": "openalex", "stream": "UAV", "query_id": "UAV-2" }, { "db": "scopus", "stream": "TRUCK", "query_id": "TRUCK-2" }, { "db": "scopus", "stream": "TRUCK", "query_id": "TRUCK-3" }, { "db": "scopus", "stream": "UAV", "query_id": "UAV-1" }, { "db": "scopus", "stream": "UAV", "query_id": "UAV-2" } ], "streams": [ "TRUCK", "UAV" ], "relevance_signals": [ "UAV_NO_CTX", "TRUCK_NO_CTX" ], "auto_exclude_reason": "EC-4-topic", "screening_status": "auto_excluded", "screened_by": "auto-v1.0.0" }, { "id": "doi:10.1016/j.tre.2022.102757", "doi": "10.1016/j.tre.2022.102757", "title": "Vehicle routing problems with drones equipped with multi-package payload compartments", "year": 2022, "authors": [ "Mohamed Amine Masmoudi", "Simona Mancini", "Roberto Baldacci", "Yong‐Hong Kuo" ], "first_author": "Mohamed Amine Masmoudi", "venue": "Transportation Research Part E Logistics and Transportation Review", "volume": "164", "pages": null, "type": "article", "language": "en", "abstract": null, "keywords": [ "Drone", "Truck", "Vehicle routing problem", "Computer science", "Payload (computing)", "Fuel efficiency", "Automotive engineering", "Routing (electronic design automation)", "Engineering", "Computer network", "Network packet" ], "cited_by_openalex": 127, "cited_by_scopus": "151", "eid": "2-s2.0-85133288709", "pii": "S136655452200148X", "open_access_url": "https://www.sciencedirect.com/science/article/abs/pii/S136655452200148X", "sources": [ { "db": "openalex", "stream": "UAV", "query_id": "UAV-2" }, { "db": "scopus", "stream": "UAV", "query_id": "UAV-2" } ], "streams": [ "UAV" ], "relevance_signals": [ "UAV_NO_CTX", "TRUCK_NO_CTX" ], "auto_exclude_reason": "EC-4-topic", "screening_status": "auto_excluded", "screened_by": "auto-v1.0.0" }, { "id": "doi:10.1109/tase.2022.3175565", "doi": "10.1109/tase.2022.3175565", "title": "Autonomous Recharging and Flight Mission Planning for Battery-Operated Autonomous Drones", "year": 2022, "authors": [ "Rashid Alyassi", "Majid Khonji", "Areg Karapetyan", "Chi-Kin Chau", "Khaled Elbassioni", "Chien-Ming Tseng" ], "first_author": "Rashid Alyassi", "venue": "IEEE Transactions on Automation Science and Engineering", "volume": "20", "pages": "1034-1046", "type": "article", "language": "en", "abstract": "Unmanned aerial vehicles (UAVs), commonly known as drones, are being increasingly deployed throughout the globe as a means to streamline monitoring, inspection, mapping, and logistic routines. When dispatched on autonomous missions, drones require an intelligent decision-making system for trajectory planning and tour optimization. Given the limited capacity of their onboard batteries, a key design challenge is to ensure the underlying algorithms can efficiently optimize the mission objectives along with recharging operations during long-haul flights. With this in view, the present work undertakes a comprehensive study on automated tour management systems for an energy-constrained drone: (1) We construct a machine learning model that estimates the energy expenditure of typical multi-rotor drones while accounting for real-world aspects and extrinsic meteorological factors. (2) Leveraging this model, the joint program of flight mission planning and recharging optimization is formulated as a multi-criteria Asymmetric Traveling Salesman Problem (ATSP), wherein a drone seeks for the time-optimal energy-feasible tour that visits all the target sites and refuels whenever necessary. (3) We devise an efficient approximation algorithm with provable worst-case performance guarantees and implement it in a drone management system, which supports real-time flight path tracking and re- computation in dynamic environments. (4) The effectiveness and practicality of the proposed approach are validated through extensive numerical simulations as well as real-world experiments. Note to Practitioners—This study is stimulated by the need for developing pragmatic and provably efficient automated tour management systems for UAVs deployed on energy-constrained, long-distance flight missions. As such, UAVs provide a nifty platform for facilitating environmental monitoring, disaster management, transport of medical supplies, as well as expediting last-mile deliveries. However, existing path planners generally fall short of capturing several crucial aspects, such as detailed power consumption model (e.g., factoring in payload, wind speed and direction) or performance guarantees, potentially leading to underutilized or infeasible routing decisions. To address these issues, the present work proposes a theoretically-backed routing approach with a certifiable degree of optimality and develops an effective, practical power consumption evaluation model for multi-rotor UAVs, verified on multiple drone models.", "keywords": [ "Drone", "Aeronautics", "Motion planning", "Battery (electricity)", "Engineering", "Computer science", "Robot", "Systems engineering", "Aerospace engineering", "Control engineering", "Automotive engineering", "Artificial intelligence" ], "cited_by_openalex": 211, "cited_by_scopus": "149", "eid": "2-s2.0-85130426582", "pii": null, "open_access_url": "https://ieeexplore.ieee.org/ielx7/8856/10094220/09779119.pdf", "sources": [ { "db": "openalex", "stream": "UAV", "query_id": "UAV-1" }, { "db": "scopus", "stream": "UAV", "query_id": "UAV-1" } ], "streams": [ "UAV" ], "relevance_signals": [ "UAV" ], "auto_exclude_reason": null, "screening_status": "pending_human_screening", "screened_by": "auto-v1.0.0" }, { "id": "doi:10.1016/j.tre.2022.102990", "doi": "10.1016/j.tre.2022.102990", "title": "The multi-visit drone routing problem for pickup and delivery services", "year": 2022, "authors": [ "Shanshan Meng", "Xiuping Guo", "Dong Li", "Guoquan Liu" ], "first_author": "Shanshan Meng", "venue": "Transportation Research Part E Logistics and Transportation Review", "volume": "169", "pages": null, "type": "article", "language": "en", "abstract": null, "keywords": [ "Drone", "Heuristics", "Computer science", "Pickup", "Truck", "Payload (computing)", "Routing (electronic design automation)", "Vehicle routing problem", "Benchmark (surveying)", "Mathematical optimization", "Integer programming", "Simulated annealing" ], "cited_by_openalex": 131, "cited_by_scopus": "140", "eid": "2-s2.0-85145558684", "pii": "S1366554522003672", "open_access_url": "https://figshare.com/articles/journal_contribution/The_multi-visit_drone_routing_problem_for_pickup_and_delivery_services/21740627", "sources": [ { "db": "openalex", "stream": "UAV", "query_id": "UAV-2" }, { "db": "scopus", "stream": "UAV", "query_id": "UAV-2" } ], "streams": [ "UAV" ], "relevance_signals": [ "UAV_NO_CTX", "TRUCK_NO_CTX" ], "auto_exclude_reason": "EC-4-topic", "screening_status": "auto_excluded", "screened_by": "auto-v1.0.0" }, { "id": "doi:10.3390/su14031766", "doi": "10.3390/su14031766", "title": "The Use of Drones for Last-Mile Delivery: A Numerical Case Study in Milan, Italy", "year": 2022, "authors": [ "Fabio Borghetti", "Claudia Caballini", "Angela Carboni", "Gaia Grossato", "Roberto Maja", "Benedetto Barabino" ], "first_author": "Fabio Borghetti", "venue": "Sustainability", "volume": "14", "pages": null, "type": "article", "language": "en", "abstract": "The increasing use of e-commerce introduces major challenges for last-mile delivery, which is critical to ensure smooth functioning of supply chains. Besides the speed and cost of delivery, which are the most important factors for last-mile logistics, environmental and social sustainability factors are taking on an increasingly important role, especially in urban areas. In this perspective, last-mile delivery by drones could be a good choice both in terms of transport speed and sustainability. Being electrically powered, drones can reduce environmental impact; moreover, they enable the reduction of road congestion since they do not interfere with land infrastructures. The goal of this study is to analyse the viability of drones for last-mile delivery in the Italian city of Milan. A stated preference survey was carried out to assess end-user propensity towards drones. Using these results, a goods delivery service by drones was designed. Furthermore, a preliminary financial analysis was performed to evaluate the benefits for a company that would provide such a transport service. Findings show that last-mile delivery by drones can be successfully used to deliver small and light packages, reducing environmental and social impacts, and ensuring profits for the transport provider.", "keywords": [ "Last mile (transportation)", "Drone", "Mile", "Sustainability", "Business", "Service (business)", "Service provider", "Transport engineering", "Environmental economics", "Marketing", "Engineering", "Geography" ], "cited_by_openalex": 124, "cited_by_scopus": "137", "eid": "2-s2.0-85124939213", "pii": null, "open_access_url": "https://www.mdpi.com/2071-1050/14/3/1766/pdf?version=1644316436", "sources": [ { "db": "openalex", "stream": "UAV", "query_id": "UAV-1" }, { "db": "scopus", "stream": "UAV", "query_id": "UAV-1" } ], "streams": [ "UAV" ], "relevance_signals": [ "UAV" ], "auto_exclude_reason": null, "screening_status": "pending_human_screening", "screened_by": "auto-v1.0.0" }, { "id": "doi:10.1016/j.asoc.2022.109225", "doi": "10.1016/j.asoc.2022.109225", "title": "Routing and scheduling optimization for UAV assisted delivery system: A hybrid approach", "year": 2022, "authors": [ "Mohammad Sajid", "Himanshu Mittal", "Shreya Pare", "Mukesh Prasad" ], "first_author": "Mohammad Sajid", "venue": "Applied Soft Computing", "volume": "126", "pages": null, "type": "article", "language": "en", "abstract": null, "keywords": [ "Computer science", "Mathematical optimization", "Simulated annealing", "Job shop scheduling", "Particle swarm optimization", "Scheduling (production processes)", "Crossover", "Differential evolution", "Algorithm", "Routing (electronic design automation)", "Mathematics", "Artificial intelligence" ], "cited_by_openalex": 130, "cited_by_scopus": "137", "eid": "2-s2.0-85133946928", "pii": "S1568494622004501", "open_access_url": "https://doi.org/10.1016/j.asoc.2022.109225", "sources": [ { "db": "openalex", "stream": "UAV", "query_id": "UAV-2" }, { "db": "scopus", "stream": "UAV", "query_id": "UAV-2" } ], "streams": [ "UAV" ], "relevance_signals": [ "UAV_NO_CTX" ], "auto_exclude_reason": "EC-4-topic", "screening_status": "auto_excluded", "screened_by": "auto-v1.0.0" }, { "id": "doi:10.3390/su142114473", "doi": "10.3390/su142114473", "title": "Application of Unmanned Aerial Vehicles in Logistics: A Literature Review", "year": 2022, "authors": [ "Yi Li", "Min Liu", "Dandan Jiang" ], "first_author": "Yi Li", "venue": "Sustainability", "volume": "14", "pages": null, "type": "article", "language": "en", "abstract": "The booming development of e-commerce has brought many challenges to the logistics industry. To ensure the sustainability of the logistics industry, the impact of environmental and social sustainability factors on logistics development needs to be considered. Unmanned Aerial Vehicles (UAVs)/drones are used in the logistics field because of their flexibility, low cost, environmental protection and energy-saving advantages, which can achieve both economic benefits and social benefits. This paper reviews 36 studies on UAVs applications in logistics from the Web of Science database from the past two years (2021–2022). The selected literature is classified into theoretical models (the traveling salesman problem and other path planning problems), application scenarios (medical safety applications and last-mile delivery problems) and other problems (UAV implementation obstacles, costs, pricing, etc.). Finally, future directions of UAVs are proposed, such as different application scenarios that can be considered and different algorithms that can be combined to optimize paths for UAVs to specific flight environments.", "keywords": [ "Flexibility (engineering)", "Drone", "Sustainability", "Travelling salesman problem", "Computer science", "Field (mathematics)", "Transport engineering", "Humanitarian Logistics", "Risk analysis (engineering)", "Operations research", "Business", "Engineering" ], "cited_by_openalex": 138, "cited_by_scopus": "135", "eid": "2-s2.0-85145896385", "pii": null, "open_access_url": "https://www.mdpi.com/2071-1050/14/21/14473/pdf?version=1667547080", "sources": [ { "db": "openalex", "stream": "UAV", "query_id": "UAV-1" }, { "db": "scopus", "stream": "UAV", "query_id": "UAV-1" } ], "streams": [ "UAV" ], "relevance_signals": [ "UAV" ], "auto_exclude_reason": null, "screening_status": "pending_human_screening", "screened_by": "auto-v1.0.0" }, { "id": "doi:10.1109/tits.2022.3181282", "doi": "10.1109/tits.2022.3181282", "title": "Collaborative Truck-Drone Routing for Contactless Parcel Delivery During the Epidemic", "year": 2022, "authors": [ "Guohua Wu", "Ni Mao", "Qizhang Luo", "Binjie Xu", "Jianmai Shi", "Ponnuthurai Nagaratnam Suganthan" ], "first_author": "Guohua Wu", "venue": "IEEE Transactions on Intelligent Transportation Systems", "volume": "23", "pages": "25077-25091", "type": "article", "language": "en", "abstract": "The COVID-19 pandemic calls for contactless deliveries. To prevent the further spread of the disease and ensure the timely delivery of supplies, this paper investigates a collaborative truck-drone routing problem for contactless parcel delivery (CRP-T&D), which allows multiple trucks and multiple drones to deliver parcels cooperatively in epidemic areas. We formulate a mixed-integer programming model that minimizes the delivery time, with the consideration of the energy consumption model of drones. To solve CRP-T&D, we develop an improved variable neighborhood descent (IVND) that combines the Metropolis acceptance criterion of Simulated Annealing (SA) and the tabu list of Tabu Search (TS). Meanwhile, the integration of K-means clustering and Nearest neighbor strategy is applied to generate the initial solution. To evaluate the performance of IVND, experiments are conducted by comparing IVND with VND, SA, TS, variants of VND, and large neighborhood search (LNS) on instances with different scales. Several critical factors are tested to verify the robustness of IVND. Moreover, the experimental results on a practical instance further demonstrate the superior performance of IVND.", "keywords": [ "Drone", "Tabu search", "Robustness (evolution)", "Computer science", "Simulated annealing", "Truck", "Vehicle routing problem", "Routing (electronic design automation)", "Cluster analysis", "Integer programming", "Computer network", "Engineering" ], "cited_by_openalex": 122, "cited_by_scopus": "128", "eid": "2-s2.0-85133753135", "pii": null, "open_access_url": "https://doi.org/10.1109/tits.2022.3181282", "sources": [ { "db": "openalex", "stream": "UAV", "query_id": "UAV-1" }, { "db": "openalex", "stream": "UAV", "query_id": "UAV-2" }, { "db": "scopus", "stream": "UAV", "query_id": "UAV-1" }, { "db": "scopus", "stream": "UAV", "query_id": "UAV-2" } ], "streams": [ "UAV" ], "relevance_signals": [ "UAV", "TRUCK" ], "auto_exclude_reason": null, "screening_status": "pending_human_screening", "screened_by": "auto-v1.0.0" }, { "id": "doi:10.1108/ijpdlm-01-2021-0013", "doi": "10.1108/ijpdlm-01-2021-0013", "title": "Consumer preferences for innovative and traditional last-mile parcel delivery", "year": 2022, "authors": [ "Rico Merkert", "Michiel C.J. Bliemer", "Muhammad Fayyaz" ], "first_author": "Rico Merkert", "venue": "International Journal of Physical Distribution & Logistics Management", "volume": "52", "pages": "261-284", "type": "article", "language": "en", "abstract": "Purpose The purpose of this research is to reveal consumer preferences towards innovative last-mile parcel delivery and more specifically unmanned aerial delivery drones, in comparison to traditional postal delivery (postie) and the recent rise of parcel lockers in Australia. The authors investigate competitive priorities and willingness to pay for key attributes of parcel delivery (mode, speed, method and time window), the role of contextual moderators such as parcel value and security and opportunities for logistics service providers in the growing e-commerce market. Design/methodology/approach A survey involving stated choice experiments has been conducted among 709 respondents in urban Australia. The authors estimated panel error component logit models, derived consumer priorities and deployed 576 Monte Carlo simulations to forecast potential delivery mode market shares. Findings The study results suggest that people prefer postie over drone delivery, all else equal, but that drone deliveries become competitive with large market shares if they live up to the premise that they can deliver faster and cheaper. Both drone and postie become less attractive relative to parcel lockers when there is no safe place to leave a parcel at a residence, highlighting the importance of situational context and infrastructure at the receiving end of last-mile delivery. The authors identified opportunities for chargeable add-on services, such as signature for postie and 2-h parcel deliveries for drones. Originality/value The authors offer timely and novel insights into consumers preferences towards aerial drone parcel deliveries compared to postie and lockers. Going beyond the extant engineering/operations research literature, the authors provide a starting point and add new dimensions/moderators for last-mile parcel delivery choice analysis and empirical evidence of market potential and competitive attributes of innovative versus traditional parcel delivery alternatives.", "keywords": [ "Last mile (transportation)", "Drone", "Context (archaeology)", "Marketing", "Business", "Value proposition", "Mile", "Geography" ], "cited_by_openalex": 131, "cited_by_scopus": "119", "eid": "2-s2.0-85125107562", "pii": null, "open_access_url": "https://hdl.handle.net/2123/28556", "sources": [ { "db": "openalex", "stream": "UAV", "query_id": "UAV-1" }, { "db": "openalex", "stream": "UAV", "query_id": "UAV-3" }, { "db": "scopus", "stream": "UAV", "query_id": "UAV-1" }, { "db": "scopus", "stream": "UAV", "query_id": "UAV-3" } ], "streams": [ "UAV" ], "relevance_signals": [ "UAV" ], "auto_exclude_reason": null, "screening_status": "pending_human_screening", "screened_by": "auto-v1.0.0" }, { "id": "doi:10.1016/j.cie.2022.108389", "doi": "10.1016/j.cie.2022.108389", "title": "A bi-objective optimization model for the medical supplies' simultaneous pickup and delivery with drones", "year": 2022, "authors": [ "Yuhe Shi", "Yun Jung Lin", "Bo Li", "Rita Yi Man Li" ], "first_author": "Yuhe Shi", "venue": "Computers & Industrial Engineering", "volume": "171", "pages": null, "type": "article", "language": "en", "abstract": null, "keywords": [ "Drone", "SAFER", "Pickup", "Sorting", "Computer science", "Genetic algorithm", "Integer programming", "Routing (electronic design automation)", "Operations research", "Engineering", "Simulation", "Computer network" ], "cited_by_openalex": 122, "cited_by_scopus": "119", "eid": "2-s2.0-85133219117", "pii": "S0360835222004338", "open_access_url": "https://www.ncbi.nlm.nih.gov/pmc/articles/9245375", "sources": [ { "db": "openalex", "stream": "UAV", "query_id": "UAV-2" }, { "db": "scopus", "stream": "UAV", "query_id": "UAV-2" } ], "streams": [ "UAV" ], "relevance_signals": [ "UAV_NO_CTX" ], "auto_exclude_reason": "EC-4-topic", "screening_status": "auto_excluded", "screened_by": "auto-v1.0.0" }, { "id": "doi:10.3390/su14095329", "doi": "10.3390/su14095329", "title": "Optimization and Machine Learning Applied to Last-Mile Logistics: A Review", "year": 2022, "authors": [ "Giuffrida N." ], "first_author": "Giuffrida N.", "venue": "Sustainability Switzerland", "volume": "14", "pages": null, "type": "Article", "language": null, "abstract": null, "keywords": [], "cited_by_openalex": 0, "cited_by_scopus": "119", "eid": "2-s2.0-85129868425", "pii": null, "open_access_url": null, "sources": [ { "db": "scopus", "stream": "TRUCK", "query_id": "TRUCK-2" } ], "streams": [ "TRUCK" ], "relevance_signals": [ "NO_TECHNOLOGY_MATCH" ], "auto_exclude_reason": "EC-4-topic", "screening_status": "auto_excluded", "screened_by": "auto-v1.0.0" }, { "id": "doi:10.1080/01441647.2022.2119297", "doi": "10.1080/01441647.2022.2119297", "title": "A review on the factors influencing the adoption of new mobility technologies and services: autonomous vehicle, drone, micromobility and mobility as a service", "year": 2022, "authors": [ "Yuerong Zhang", "Maria Kamargianni" ], "first_author": "Yuerong Zhang", "venue": "Transport Reviews", "volume": "43", "pages": "407-429", "type": "article", "language": "en", "abstract": "New mobility technologies and services could address a series of transport-related problems such as pollution, congestion, unpleasant travel experiences, as well as first- and last-mile in-connectivity. Understanding the key factors influencing adoption and enablers is critical to the rollout of the new mobility technologies and services. The objective of this paper is to conduct a systematic review of the new mobility technologies and services, especially on autonomous vehicles, drones, micromobility and Mobility as a Service (MaaS). The ultimate goal is to gain a deeper insight into the factors that affect the adoption or preferences of these technologies and services and thus provide policy implications at the strategic level. The results of the review identified several (1) shared, (2) exclusive, (3) opposing and (4) mixed impacts factors that strongly influence the uptake of new mobilities. The synthesised finding will contribute to policy decisions, particularly regarding the sequencing of the launch and development priorities of new mobility technologies and services. To encourage the uptake of new mobility technologies and services, further promotion would benefit from (1) embedding a spatio-temporal perspective, (2) undertaking a careful market segmentation and (3) a careful segmentation of technology and services based on features, application contexts and purposes.", "keywords": [ "Drone", "Business", "Service (business)", "Emerging technologies", "Marketing", "Promotion (chess)", "Market segmentation", "Telecommunications", "Computer science" ], "cited_by_openalex": 135, "cited_by_scopus": "118", "eid": "2-s2.0-85138236556", "pii": null, "open_access_url": "https://doi.org/10.1080/01441647.2022.2119297", "sources": [ { "db": "openalex", "stream": "UAV", "query_id": "UAV-1" }, { "db": "scopus", "stream": "UAV", "query_id": "UAV-1" } ], "streams": [ "UAV" ], "relevance_signals": [ "UAV" ], "auto_exclude_reason": null, "screening_status": "pending_human_screening", "screened_by": "auto-v1.0.0" }, { "id": "doi:10.1016/j.trd.2022.103296", "doi": "10.1016/j.trd.2022.103296", "title": "Truck-based drone delivery system: An economic and environmental assessment", "year": 2022, "authors": [ "Andrea Baldisseri", "Chiara Siragusa", "Arianna Seghezzi", "Riccardo Mangiaracina", "Angela Tumino" ], "first_author": "Andrea Baldisseri", "venue": "Transportation Research Part D Transport and Environment", "volume": "107", "pages": null, "type": "article", "language": "en", "abstract": null, "keywords": [ "Drone", "Truck", "Last mile (transportation)", "Mile", "Sustainability", "Greenhouse gas", "Automation", "Environmental economics", "Transport engineering", "Business", "Computer science", "Engineering" ], "cited_by_openalex": 115, "cited_by_scopus": "116", "eid": "2-s2.0-85134006660", "pii": "S1361920922001249", "open_access_url": "https://hdl.handle.net/11311/1228778", "sources": [ { "db": "openalex", "stream": "TRUCK", "query_id": "TRUCK-1" }, { "db": "openalex", "stream": "UAV", "query_id": "UAV-1" }, { "db": "scopus", "stream": "TRUCK", "query_id": "TRUCK-1" }, { "db": "scopus", "stream": "UAV", "query_id": "UAV-1" } ], "streams": [ "TRUCK", "UAV" ], "relevance_signals": [ "UAV", "TRUCK" ], "auto_exclude_reason": null, "screening_status": "pending_human_screening", "screened_by": "auto-v1.0.0" }, { "id": "doi:10.1080/15568318.2020.1847367", "doi": "10.1080/15568318.2020.1847367", "title": "Electric vehicles performing last-mile delivery in B2C e-commerce: An economic and environmental assessment", "year": 2022, "authors": [ "Siragusa C." ], "first_author": "Siragusa C.", "venue": "International Journal of Sustainable Transportation", "volume": "16", "pages": "22-33", "type": "Article", "language": null, "abstract": null, "keywords": [], "cited_by_openalex": 0, "cited_by_scopus": "111", "eid": "2-s2.0-85096319408", "pii": null, "open_access_url": null, "sources": [ { "db": "scopus", "stream": "TRUCK", "query_id": "TRUCK-1" } ], "streams": [ "TRUCK" ], "relevance_signals": [ "NO_TECHNOLOGY_MATCH" ], "auto_exclude_reason": "EC-4-topic", "screening_status": "auto_excluded", "screened_by": "auto-v1.0.0" }, { "id": "doi:10.1016/j.ejor.2022.10.015", "doi": "10.1016/j.ejor.2022.10.015", "title": "Drone location and vehicle fleet planning with trucks and aerial drones", "year": 2022, "authors": [ "Alexander Rave", "Pirmin Fontaine", "Heinrich C. Kuhn" ], "first_author": "Alexander Rave", "venue": "European Journal of Operational Research", "volume": "308", "pages": "113-130", "type": "article", "language": "en", "abstract": null, "keywords": [ "Drone", "Truck", "Payload (computing)", "Context (archaeology)", "Transport engineering", "Computer science", "Operations research", "Engineering", "Computer security", "Geography", "Network packet", "Automotive engineering" ], "cited_by_openalex": 112, "cited_by_scopus": "106", "eid": "2-s2.0-85141954616", "pii": "S0377221722008001", "open_access_url": "https://doi.org/10.1016/j.ejor.2022.10.015", "sources": [ { "db": "openalex", "stream": "TRUCK", "query_id": "TRUCK-1" }, { "db": "openalex", "stream": "UAV", "query_id": "UAV-1" }, { "db": "scopus", "stream": "TRUCK", "query_id": "TRUCK-1" }, { "db": "scopus", "stream": "UAV", "query_id": "UAV-1" }, { "db": "scopus", "stream": "UAV", "query_id": "UAV-2" } ], "streams": [ "TRUCK", "UAV" ], "relevance_signals": [ "UAV_NO_CTX", "TRUCK_NO_CTX" ], "auto_exclude_reason": "EC-4-topic", "screening_status": "auto_excluded", "screened_by": "auto-v1.0.0" }, { "id": "doi:10.1016/j.trc.2022.103808", "doi": "10.1016/j.trc.2022.103808", "title": "Traffic management and resource allocation for UAV-based parcel delivery in low-altitude urban space", "year": 2022, "authors": [ "Ang Li", "Mark M. Hansen", "Bo Zou" ], "first_author": "Ang Li", "venue": "Transportation Research Part C Emerging Technologies", "volume": "143", "pages": null, "type": "article", "language": "en", "abstract": "This research proposes a framework of Unmanned Aircraft Vehicles (UAV) system traffic management in the context of parcel delivery in low-altitude urban airspace, including clustering-based UAV path planning, Unmanned Aircraft System Traffic Management (UTM) with conflict detection and resolution (CD&R), and mechanism design for airspace resource allocation. For UAV path planning, we develop a procedure by first clustering a large variety of obstacles that arise from building heights and terrain topology and can impede UAV flying. Based on the clustered obstacles, Saturated Fast-Marching Square (Saturated FM2) algorithm is then employed to generate optimal and alternative paths for each UAV mission. While identifying the optimal and alternative paths does not consider UAV traffic interactions, several traffic management models are proposed to efficiently allocate spatial and temporal airspace resources to UAV missions. The UTM models determine the departure time and the path to take for each UAV flight while resolving path conflicts from different perspectives. Specifically, four UTM models are proposed: Sequential Delay (SD) Model, Sequential Delay/Reroute (SDR) Model, Full Optimization (FO) Model, and Batch Optimization (BO) Model. Among the four models, the BO model is of particular interest as it strikes a balance between seeking a system optimum solution and maintaining computational tractability. Given that traffic management requires private information from UAV operators, the Vickrey-Clarke-Groves (VCG) mechanism is further adapted to the UTM context, in which airspace resource allocation is performed in conjunction with a payment scheme to incentivize truthful private information reporting by UAV operators. Extensive numerical analysis is conducted with San Francisco as the case study area. The results show the effectiveness of the proposed framework, particularly the scalability of the BO model. We also find that payment by a UAV flight under the adapted VCG mechanism depends critically on traffic density and the extent of interaction the UAV flight has with other flights.", "keywords": [ "Context (archaeology)", "Computer science", "Resource allocation", "Terrain", "Cluster analysis", "Resource management (computing)", "Path (computing)", "Motion planning", "Real-time computing", "Operations research", "Distributed computing", "Engineering" ], "cited_by_openalex": 96, "cited_by_scopus": "105", "eid": "2-s2.0-85135839035", "pii": "S0968090X22002339", "open_access_url": "https://www.sciencedirect.com/science/article/pii/S0968090X22002339/pdf", "sources": [ { "db": "openalex", "stream": "UAV", "query_id": "UAV-1" }, { "db": "scopus", "stream": "UAV", "query_id": "UAV-1" } ], "streams": [ "UAV" ], "relevance_signals": [ "UAV" ], "auto_exclude_reason": null, "screening_status": "pending_human_screening", "screened_by": "auto-v1.0.0" }, { "id": "doi:10.1016/j.trc.2022.103733", "doi": "10.1016/j.trc.2022.103733", "title": "A hierarchical solution evaluation method and a hybrid algorithm for the vehicle routing problem with drones and multiple visits", "year": 2022, "authors": [ "Ruixue Gu", "Mark Poon", "Zhihao Luo", "Yang Liu", "Zhong Liu" ], "first_author": "Ruixue Gu", "venue": "Transportation Research Part C Emerging Technologies", "volume": "141", "pages": null, "type": "article", "language": "en", "abstract": null, "keywords": [ "Drone", "Travelling salesman problem", "Computer science", "Payload (computing)", "Truck", "Vehicle routing problem", "Heuristic", "Mathematical optimization", "Algorithm", "Routing (electronic design automation)", "Network packet", "Engineering" ], "cited_by_openalex": 99, "cited_by_scopus": "102", "eid": "2-s2.0-85131459997", "pii": "S0968090X22001681", "open_access_url": "https://doi.org/10.1016/j.trc.2022.103733", "sources": [ { "db": "openalex", "stream": "UAV", "query_id": "UAV-2" }, { "db": "scopus", "stream": "TRUCK", "query_id": "TRUCK-1" }, { "db": "scopus", "stream": "UAV", "query_id": "UAV-1" }, { "db": "scopus", "stream": "UAV", "query_id": "UAV-2" } ], "streams": [ "TRUCK", "UAV" ], "relevance_signals": [ "UAV_NO_CTX", "TRUCK_NO_CTX" ], "auto_exclude_reason": "EC-4-topic", "screening_status": "auto_excluded", "screened_by": "auto-v1.0.0" }, { "id": "doi:10.1016/j.clscn.2022.100041", "doi": "10.1016/j.clscn.2022.100041", "title": "The electric vehicle routing problem with drones: An energy minimization approach for aerial deliveries", "year": 2022, "authors": [ "Nikolaos A. Kyriakakis", "Themistoklis Stamadianos", "Magdalene Marinaki", "Yannis Marinakis" ], "first_author": "Nikolaos A. Kyriakakis", "venue": "Cleaner Logistics and Supply Chain", "volume": "4", "pages": null, "type": "article", "language": "en", "abstract": "This paper introduces the Electric Vehicle Routing Problem with Drones (EVRPD), the first VRP combining electric ground vehicles (EVs) with unmanned aerial vehicles (UAVs), also known as drones, in order to deliver packages to customers. The problem’s objective is to minimize the total energy consumption, focusing on the main non-constant and controllable factor of energy consumption on a delivery vehicle, the payload weight. The problem considers same-sized packages, belonging to different weight classes. EVs serve as motherships, from which drones are deployed to deliver the packages. Drones can carry multiple packages, up to a certain weight limit and their range is depended on their payload weight. For solving the EVRPD, four algorithms of the Ant Colony Optimization framework are implemented, two versions of the Ant Colony System and the Min–Max Ant System. A Variable Neighborhood Descent algorithm is utilized in all variants as a local search procedure. Instances for the EVRPD are created based on the two-echelon VRP literature and are used to test the proposed algorithms. Their computational results are compared and discussed. Practical, real-life scenarios of the EVRPD application are also presented and solved.", "keywords": [ "Drone", "Payload (computing)", "Ant colony optimization algorithms", "Minification", "Vehicle routing problem", "Computer science", "Energy consumption", "Routing (electronic design automation)", "Electric vehicle", "Mathematical optimization", "Range (aeronautics)", "Ant colony" ], "cited_by_openalex": 100, "cited_by_scopus": "100", "eid": "2-s2.0-85134743552", "pii": "S2772390922000142", "open_access_url": "https://www.sciencedirect.com/science/article/pii/S2772390922000142/pdf", "sources": [ { "db": "openalex", "stream": "UAV", "query_id": "UAV-2" }, { "db": "openalex", "stream": "UAV", "query_id": "UAV-3" }, { "db": "scopus", "stream": "UAV", "query_id": "UAV-2" }, { "db": "scopus", "stream": "UAV", "query_id": "UAV-3" } ], "streams": [ "UAV" ], "relevance_signals": [ "UAV_NO_CTX" ], "auto_exclude_reason": "EC-4-topic", "screening_status": "auto_excluded", "screened_by": "auto-v1.0.0" }, { "id": "doi:10.1016/j.ejor.2022.06.004", "doi": "10.1016/j.ejor.2022.06.004", "title": "The multiple traveling salesman problem in presence of drone- and robot-supported packet stations", "year": 2022, "authors": [ "Konstantin Kloster", "Mahdi Moeini", "Daniele Vigo", "Oliver Wendt" ], "first_author": "Konstantin Kloster", "venue": "European Journal of Operational Research", "volume": "305", "pages": "630-643", "type": "article", "language": "en", "abstract": null, "keywords": [ "Travelling salesman problem", "Drone", "Computer science", "Network packet", "Truck", "Robot", "Energy consumption", "Mathematical optimization", "Set (abstract data type)", "Algorithm", "Mathematics", "Artificial intelligence" ], "cited_by_openalex": 101, "cited_by_scopus": "99", "eid": "2-s2.0-85133170829", "pii": "S0377221722004593", "open_access_url": "https://www.sciencedirect.com/science/article/pii/S0377221722004593", "sources": [ { "db": "openalex", "stream": "TRUCK", "query_id": "TRUCK-3" }, { "db": "scopus", "stream": "TRUCK", "query_id": "TRUCK-3" }, { "db": "scopus", "stream": "UAV", "query_id": "UAV-2" } ], "streams": [ "TRUCK", "UAV" ], "relevance_signals": [ "UAV_NO_CTX", "TRUCK_NO_CTX" ], "auto_exclude_reason": "EC-4-topic", "screening_status": "auto_excluded", "screened_by": "auto-v1.0.0" }, { "id": "doi:10.1016/j.trc.2022.103763", "doi": "10.1016/j.trc.2022.103763", "title": "Heterogeneous multi-drone routing problem for parcel delivery", "year": 2022, "authors": [ "Xupeng Wen", "Guohua Wu" ], "first_author": "Xupeng Wen", "venue": "Transportation Research Part C Emerging Technologies", "volume": "141", "pages": null, "type": "article", "language": "en", "abstract": null, "keywords": [ "Drone", "Payload (computing)", "Computer science", "Real-time computing", "Computer network" ], "cited_by_openalex": 88, "cited_by_scopus": "98", "eid": "2-s2.0-85133763794", "pii": "S0968090X22001966", "open_access_url": "https://doi.org/10.1016/j.trc.2022.103763", "sources": [ { "db": "openalex", "stream": "UAV", "query_id": "UAV-1" }, { "db": "openalex", "stream": "UAV", "query_id": "UAV-2" }, { "db": "scopus", "stream": "UAV", "query_id": "UAV-1" }, { "db": "scopus", "stream": "UAV", "query_id": "UAV-2" } ], "streams": [ "UAV" ], "relevance_signals": [ "UAV" ], "auto_exclude_reason": null, "screening_status": "pending_human_screening", "screened_by": "auto-v1.0.0" }, { "id": "doi:10.1016/j.tre.2022.102816", "doi": "10.1016/j.tre.2022.102816", "title": "The flying sidekick traveling salesman problem with stochastic travel time: A reinforcement learning approach", "year": 2022, "authors": [ "Zeyu Liu", "Xueping Li", "Anahita Khojandi" ], "first_author": "Zeyu Liu", "venue": "Transportation Research Part E Logistics and Transportation Review", "volume": "164", "pages": null, "type": "article", "language": "en", "abstract": null, "keywords": [ "Travelling salesman problem", "Reinforcement learning", "Time travel", "Computer science", "Operations research", "Engineering", "Mathematical optimization", "Artificial intelligence", "Mathematics" ], "cited_by_openalex": 85, "cited_by_scopus": "95", "eid": "2-s2.0-85133648251", "pii": "S1366554522002034", "open_access_url": "https://doi.org/10.1016/j.tre.2022.102816", "sources": [ { "db": "openalex", "stream": "TRUCK", "query_id": "TRUCK-2" }, { "db": "openalex", "stream": "TRUCK", "query_id": "TRUCK-3" }, { "db": "scopus", "stream": "TRUCK", "query_id": "TRUCK-2" }, { "db": "scopus", "stream": "TRUCK", "query_id": "TRUCK-3" }, { "db": "scopus", "stream": "UAV", "query_id": "UAV-2" } ], "streams": [ "TRUCK", "UAV" ], "relevance_signals": [ "NO_TECHNOLOGY_MATCH" ], "auto_exclude_reason": "EC-4-topic", "screening_status": "auto_excluded", "screened_by": "auto-v1.0.0" }, { "id": "doi:10.1016/j.cor.2022.106015", "doi": "10.1016/j.cor.2022.106015", "title": "A last-mile drone-assisted one-to-one pickup and delivery problem with multi-visit drone trips", "year": 2022, "authors": [ "Zhihao Luo", "Ruixue Gu", "Mark Poon", "Zhong Liu", "Andrew E. B. Lim" ], "first_author": "Zhihao Luo", "venue": "Computers & Operations Research", "volume": "148", "pages": null, "type": "article", "language": "en", "abstract": null, "keywords": [ "Drone", "Computer science", "Pickup", "Payload (computing)", "Truck", "Last mile (transportation)", "TRIPS architecture", "Mile", "Operations research", "Real-time computing", "Engineering", "Artificial intelligence" ], "cited_by_openalex": 97, "cited_by_scopus": "95", "eid": "2-s2.0-85138047052", "pii": "S0305054822002453", "open_access_url": "https://doi.org/10.1016/j.cor.2022.106015", "sources": [ { "db": "openalex", "stream": "UAV", "query_id": "UAV-1" }, { "db": "scopus", "stream": "TRUCK", "query_id": "TRUCK-1" }, { "db": "scopus", "stream": "UAV", "query_id": "UAV-1" } ], "streams": [ "TRUCK", "UAV" ], "relevance_signals": [ "UAV", "TRUCK" ], "auto_exclude_reason": null, "screening_status": "pending_human_screening", "screened_by": "auto-v1.0.0" }, { "id": "doi:10.3390/drones6020039", "doi": "10.3390/drones6020039", "title": "Drones in B5G/6G Networks as Flying Base Stations", "year": 2022, "authors": [ "George Amponis", "Θωμάς Λάγκας", "Maria Zevgara", "Georgios P. Katsikas", "Thanos Xirofotos", "Ioannis D. Moscholios", "Panagiotis G. Sarigiannidis" ], "first_author": "George Amponis", "venue": "Drones", "volume": "6", "pages": null, "type": "article", "language": "en", "abstract": "Advances in the fields of networking, broadband communications and demand for high-fidelity low-latency last-mile communications have rendered as-efficient-as-possible relaying methods more necessary than ever. This paper investigates the possibility of the utilization of cellular-enabled drones as aerial base stations in next-generation cellular networks. Flying ad hoc networks (FANETs) acting as clusters of deployable relays for the on-demand extension of broadband connectivity constitute a promising scenario in the domain of next-generation high-availability communications. Matters of mobility, handover efficiency, energy availability, optimal positioning and node localization as well as respective multi-objective optimizations are discussed in detail, with their core ideas defining the structure of the work at hand. This paper examines improvements to the existing cellular network core to support novel use-cases and lower the operation costs of diverse ad hoc deployments.", "keywords": [ "Drone", "Computer network", "Base station", "Computer science", "Wireless ad hoc network", "Cellular network", "Handover", "Broadband", "Relay", "Fidelity", "Core network", "Telecommunications" ], "cited_by_openalex": 94, "cited_by_scopus": "93", "eid": "2-s2.0-85124223368", "pii": null, "open_access_url": "https://www.mdpi.com/2504-446X/6/2/39/pdf?version=1644401245", "sources": [ { "db": "openalex", "stream": "UAV", "query_id": "UAV-1" }, { "db": "scopus", "stream": "UAV", "query_id": "UAV-1" } ], "streams": [ "UAV" ], "relevance_signals": [ "UAV" ], "auto_exclude_reason": null, "screening_status": "pending_human_screening", "screened_by": "auto-v1.0.0" }, { "id": "doi:10.1016/j.patter.2022.100569", "doi": "10.1016/j.patter.2022.100569", "title": "Drone flight data reveal energy and greenhouse gas emissions savings for very small package delivery", "year": 2022, "authors": [ "Thiago A. Rodrigues", "Jay Patrikar", "Natalia Lombardi Oliveira", "H. Scott Matthews", "Sebastian Scherer", "Constantine Samaras" ], "first_author": "Thiago A. Rodrigues", "venue": "Patterns", "volume": "3", "pages": null, "type": "article", "language": "en", "abstract": "Uncrewed aerial vehicles (UAVs) for last-mile deliveries will affect the energy productivity of delivery and require new methods to understand energy consumption and greenhouse gas (GHG) emissions. We combine empirical testing of 188 quadcopter flights across a range of speeds with a first-principles analysis to develop a usable energy model and a machine-learning algorithm to assess energy across takeoff, cruise, and landing. Our model shows that an electric quadcopter drone with a very small package (0.5 kg) would consume approximately 0.08 MJ/km and result in 70 g of CO 2 e per package in the United States. We compare drone delivery with other vehicles and show that energy per package delivered by drones (0.33 MJ/package) can be up to 94% lower than conventional transportation modes, with only electric cargo bicycles providing lower GHGs/package. Our open model and coefficients can assist stakeholders in understanding and improving the sustainability of small package delivery.", "keywords": [ "Quadcopter", "Drone", "Greenhouse gas", "Takeoff", "Energy consumption", "Automotive engineering", "Environmental science", "Engineering", "Aerospace engineering", "Electrical engineering" ], "cited_by_openalex": 102, "cited_by_scopus": "93", "eid": "2-s2.0-85135876739", "pii": "S2666389922001805", "open_access_url": "http://www.cell.com/article/S2666389922001805/pdf", "sources": [ { "db": "openalex", "stream": "UAV", "query_id": "UAV-1" }, { "db": "scopus", "stream": "UAV", "query_id": "UAV-1" } ], "streams": [ "UAV" ], "relevance_signals": [ "UAV" ], "auto_exclude_reason": null, "screening_status": "pending_human_screening", "screened_by": "auto-v1.0.0" }, { "id": "doi:10.1109/tvt.2022.3182335", "doi": "10.1109/tvt.2022.3182335", "title": "Packet Routing in Dynamic Multi-Hop UAV Relay Network: A Multi-Agent Learning Approach", "year": 2022, "authors": [ "Ruijin Ding", "Jiawei Chen", "Wen Rong Wu", "Jun Liu", "Feifei Gao", "Xuemin Shen" ], "first_author": "Ruijin Ding", "venue": "IEEE Transactions on Vehicular Technology", "volume": "71", "pages": "10059-10072", "type": "article", "language": "en", "abstract": "The multi-hop unmanned aerial vehicle (UAV) network can serve as data relays where ground users (GUs) do not have reliable direct connections to the base station (BS). Existing works mainly focus on simple dual-hop system. In this paper, we investigate the packet routing problem in a multi-hop UAV relay network to minimize the data transmission time and enhance the network throughput. However, the dynamic network topology due to UAV mobility makes the packet routing challenging since the limited communication range of each UAV leads to volatile wireless connection. Moreover, the line-of-sight communication links may cause strong interference among UAVs. Towards this end, we propose a novel multi-agent deep reinforcement learning based algorithm, named as multi-agent QMIX (MAQMIX) to: 1) design proper UAVs’ trajectories to serve the moving GUs while maintaining the network connection; 2) allocate frequency resource properly among UAVs to alleviate the impact of interference; and 3) choose a proper next hop UAV for each data packet to reduce the transmission time and probability of network congestion. The proposed MAQMIX has two novel training mechanisms, i.e., intra-UAV and inter-UAV training mechanisms, which can tackle the large action space issue and coordinate the training among UAVs in the multi-hop UAV relay network. Simulation results demonstrate that the MAQMIX outperforms baseline schemes in terms of the network congestion avoidance, throughput, and transmission time.", "keywords": [ "Computer network", "Computer science", "Relay", "Hop (telecommunications)", "Network packet", "Adaptive routing", "Routing (electronic design automation)", "Packet switching", "Dynamic Source Routing", "Routing protocol", "Distributed computing" ], "cited_by_openalex": 84, "cited_by_scopus": "93", "eid": "2-s2.0-85139231090", "pii": null, "open_access_url": "https://doi.org/10.1109/tvt.2022.3182335", "sources": [ { "db": "openalex", "stream": "UAV", "query_id": "UAV-2" }, { "db": "scopus", "stream": "UAV", "query_id": "UAV-2" } ], "streams": [ "UAV" ], "relevance_signals": [ "UAV_NO_CTX" ], "auto_exclude_reason": "EC-4-topic", "screening_status": "auto_excluded", "screened_by": "auto-v1.0.0" }, { "id": "doi:10.1287/msom.2022.1148", "doi": "10.1287/msom.2022.1148", "title": "Vertiport Planning for Urban Aerial Mobility: An Adaptive Discretization Approach", "year": 2022, "authors": [ "Kai Wang", "Alexandre Jacquillat", "Vikrant Vaze" ], "first_author": "Kai Wang", "venue": "Manufacturing & Service Operations Management", "volume": "24", "pages": "3215-3235", "type": "article", "language": "en", "abstract": "Problem definition: Electric vertical-takeoff-and-landing (eVTOL) vehicles enable urban aerial mobility (UAM). This paper optimizes the number, locations, and capacities of vertiports in UAM systems while capturing interdependencies between strategic vertiport deployment, tactical operations, and passenger demand. Academic/practical relevance: The model includes a “tractable part” (based on mixed-integer second-order conic optimization) and also a nonconvex demand function. Methodology: We develop an exact algorithm that approximates nonconvex functions with piecewise constant segments, iterating between a conservative model (which yields a feasible solution) and a relaxed model (which yields a solution guarantee). We propose an adaptive discretization scheme that converges to a global optimum—because of the relaxed model. Results: Our algorithm converges to a 1% optimality gap, dominating static discretization benchmarks in terms of solution quality, runtimes, and solution guarantee. Managerial implications: We find that the most attractive structure for UAM is one that uses a few high-capacity vertiports, consolidating operations primarily to serve long-distance trips. Moreover, UAM profitability is highly sensitive to network planning optimization and to customer expectations, perhaps even more so than to vehicle specifications. Therefore, the success of UAM operations requires not only mature eVTOL technologies but also tailored analytics-based capabilities to optimize strategic planning and market-based efforts to drive customer demand. Supplemental Material: The online appendix is available at https://doi.org/10.1287/msom.2022.1148 .", "keywords": [ "Computer science", "Discretization", "Mathematical optimization", "Profitability index", "Operations research", "Mathematics" ], "cited_by_openalex": 90, "cited_by_scopus": "93", "eid": "2-s2.0-85143715774", "pii": null, "open_access_url": "https://doi.org/10.1287/msom.2022.1148", "sources": [ { "db": "openalex", "stream": "UAV", "query_id": "UAV-3" }, { "db": "scopus", "stream": "UAV", "query_id": "UAV-3" } ], "streams": [ "UAV" ], "relevance_signals": [ "UAV_NO_CTX" ], "auto_exclude_reason": "EC-4-topic", "screening_status": "auto_excluded", "screened_by": "auto-v1.0.0" }, { "id": "doi:10.1109/access.2022.3202895", "doi": "10.1109/access.2022.3202895", "title": "Hybrid Truck-Drone Delivery Systems: A Systematic Literature Review", "year": 2022, "authors": [ "Batool Madani", "Malick Ndiaye" ], "first_author": "Batool Madani", "venue": "IEEE Access", "volume": "10", "pages": "92854-92878", "type": "review", "language": "en", "abstract": "Owing to the continued development of e-commerce, logisticians now have an outstanding obligation to tackle last-mile delivery challenges. A number of logistics providers have suggested the incorporation of drones with trucks to provide a more flexible delivery system. This paper analyzes the content of 95 publications related to hybrid truck-drone delivery systems (HTDDS) in the context of last-mile delivery. First, a brief overview of the potential implementation of drone delivery systems is presented, including their integration with other vehicles. The overview aims to demonstrate the operational characteristics of such systems and their implications. Then, the surveyed literature is classified based on vehicles roles, system configuration, problem formulation, and solution methods. In relation to this research, several key findings and potential research directions are discussed. Despite the high level of interest in HTDDS research, it is still in its early phases and requires improvements in various areas. The payload capacity, speed, range, and energy consumption are all factors that must be considered in the modeling of drone characteristics. Almost all studies identify customer requests before the delivery operation begins. However, customer demands for immediate delivery present an opportunity for real-time optimization to provide solutions for e-commerce activities. Environmental issues are developing, as the last-mile delivery problem is regarded as the most polluting portion of the supply chain. Thus, more consideration should be given to the environmental impact of HTDDS. Finally, research on drone routing related to air traffic management has received relatively little attention.", "keywords": [ "Drone", "Computer science", "Truck", "Engineering", "Aerospace engineering" ], "cited_by_openalex": 89, "cited_by_scopus": "91", "eid": "2-s2.0-85137612619", "pii": null, "open_access_url": "https://ieeexplore.ieee.org/ielx7/6287639/6514899/09869811.pdf", "sources": [ { "db": "openalex", "stream": "TRUCK", "query_id": "TRUCK-1" }, { "db": "openalex", "stream": "UAV", "query_id": "UAV-1" }, { "db": "scopus", "stream": "TRUCK", "query_id": "TRUCK-1" }, { "db": "scopus", "stream": "UAV", "query_id": "UAV-1" } ], "streams": [ "TRUCK", "UAV" ], "relevance_signals": [ "UAV", "TRUCK" ], "auto_exclude_reason": null, "screening_status": "pending_human_screening", "screened_by": "auto-v1.0.0" }, { "id": "doi:10.1093/imaman/dpac006", "doi": "10.1093/imaman/dpac006", "title": "Last mile logistics: Research trends and needs", "year": 2022, "authors": [ "Emrah Demir", "Aris A Syntetos", "Tom Van Woensel" ], "first_author": "Emrah Demir", "venue": "IMA Journal of Management Mathematics", "volume": "33", "pages": "549-561", "type": "article", "language": "en", "abstract": "Abstract Aspiring green agendas in conjunction with tremendous economic pressures are resulting in an increased attention to the environment and technological innovations for improving existing logistics systems. Last mile logistics, in particular, are becoming much more than a consumer convenience necessity and a transportation optimization exercise. Rather, this area presents a true opportunity to foster both financial and environmental sustainability. This paper investigates recent technological advancements and pending needs related to business and social innovations, emphasizing green logistics and city logistics concepts. We discuss various pertinent aspects, including drones, delivery robots, truck platooning, collection and pickup points, collaborative logistics, integrated transportation, decarbonization and advanced transport analytics. From a mathematical perspective, we focus on the basic features of the vehicle routing problem and some of its variants. We provide recommendations around strategies that may facilitate the adoption of new effective technologies and innovations.", "keywords": [ "Last mile (transportation)", "Drone", "Humanitarian Logistics", "Truck", "Sustainability", "Business", "Analytics", "Supply chain", "City logistics", "Mile", "Computer science", "Transport engineering" ], "cited_by_openalex": 78, "cited_by_scopus": "91", "eid": "2-s2.0-85135380877", "pii": null, "open_access_url": "https://academic.oup.com/imaman/article-pdf/33/4/549/45047530/dpac006.pdf", "sources": [ { "db": "openalex", "stream": "TRUCK", "query_id": "TRUCK-1" }, { "db": "openalex", "stream": "TRUCK", "query_id": "TRUCK-2" }, { "db": "openalex", "stream": "UAV", "query_id": "UAV-1" }, { "db": "openalex", "stream": "UAV", "query_id": "UAV-2" }, { "db": "scopus", "stream": "TRUCK", "query_id": "TRUCK-1" }, { "db": "scopus", "stream": "TRUCK", "query_id": "TRUCK-2" }, { "db": "scopus", "stream": "UAV", "query_id": "UAV-1" }, { "db": "scopus", "stream": "UAV", "query_id": "UAV-2" } ], "streams": [ "TRUCK", "UAV" ], "relevance_signals": [ "UAV", "TRUCK" ], "auto_exclude_reason": null, "screening_status": "pending_human_screening", "screened_by": "auto-v1.0.0" }, { "id": "doi:10.1038/s41598-022-10408-4", "doi": "10.1038/s41598-022-10408-4", "title": "Drone routing problem model for last-mile delivery using the public transportation capacity as moving charging stations", "year": 2022, "authors": [ "Amirhossein Moadab", "Fatemeh Farajzadeh", "Omid Fatahi Valilai" ], "first_author": "Amirhossein Moadab", "venue": "Scientific Reports", "volume": "12", "pages": null, "type": "article", "language": "en", "abstract": "The fast and cost-efficient delivery of goods ordered online is logistically a challenging problem. Many firms are looking for ways to cut delivery times and costs by exploring opportunities to take advantage of drone technology. Deploying drones as a promising technology is more efficient from both environmental and economic perspectives in last-mile delivery. This paper considers a last-mile delivery system in which a set of drones are operated in coordination with public transportation system to deliver a set of orders to customer locations. A mathematical model based on Vehicle routing Problem (VRP) is extended to solve this problem. A real-world case inspired by Bremen 2025 transportation paradigm is also developed to validate the developed mathematical formulation. Results show that the sequence of visiting customers and public transport stations highly impacts the remaining charge and efficiency of drone tour planning. Also, using public transport vehicles, which enables drones to charge their battery or to approach customers, can reduce the number of drones required for satisfying the demands in a service area. The results show that there are high potentials to save energy for drone-enabled last-mile delivery by using the public transportation network.", "keywords": [ "Drone", "Last mile (transportation)", "Mile", "Computer science", "Routing (electronic design automation)", "Transport engineering", "Public transport", "Set (abstract data type)", "Operations research", "Computer network", "Engineering" ], "cited_by_openalex": 89, "cited_by_scopus": "89", "eid": "2-s2.0-85128346152", "pii": null, "open_access_url": "https://www.nature.com/articles/s41598-022-10408-4.pdf", "sources": [ { "db": "openalex", "stream": "UAV", "query_id": "UAV-1" }, { "db": "openalex", "stream": "UAV", "query_id": "UAV-2" }, { "db": "scopus", "stream": "UAV", "query_id": "UAV-1" }, { "db": "scopus", "stream": "UAV", "query_id": "UAV-2" } ], "streams": [ "UAV" ], "relevance_signals": [ "UAV" ], "auto_exclude_reason": null, "screening_status": "pending_human_screening", "screened_by": "auto-v1.0.0" }, { "id": "doi:10.1109/tits.2021.3138432", "doi": "10.1109/tits.2021.3138432", "title": "DroneTalk: An Internet-of-Things-Based Drone System for Last-Mile Drone Delivery", "year": 2022, "authors": [ "Kuan‐Wen Chen", "Ming-Ru Xie", "Yumin Chen", "Ting-Tsan Chu", "Yi‐Bing Lin" ], "first_author": "Kuan‐Wen Chen", "venue": "IEEE Transactions on Intelligent Transportation Systems", "volume": "23", "pages": "15204-15217", "type": "article", "language": "en", "abstract": "At present, drone delivery systems usually function only in global positioning system (GPS)-friendly environments and thus cannot deliver goods into customers’ houses, which is an element of urban last-mile delivery. In this study, we investigated solutions for enabling drones to fly autonomously in mixed indoor–outdoor environments. We propose a novel Internet of Things (IoT)-based drone delivery system, namely DroneTalk, for mail delivery. DroneTalk combines a GPS, an inertial measurement unit, and visual information to achieve mixed indoor–outdoor autopilot operation. Furthermore, DroneTalk integrates an autonomous drone control system with an IoT device management platform to enable a drone to achieve automatic online weather awareness. Most importantly, DroneTalk is a novel work considering communication, processing, and control latencies simultaneously during autopilot operation to avoid problems related to drone collisions. These problems have always existed but become more serious when drones are flying close to buildings. Simulation results indicate that the proposed system can attain a high user-defined flight success rate (i.e., 99% in our simulations) without any collisions; thus, the proposed system can be feasibly used in real-world environments.", "keywords": [ "Drone", "Mile", "Last mile (transportation)", "The Internet", "Aeronautics", "Computer science", "Computer security", "Engineering", "World Wide Web", "Geography" ], "cited_by_openalex": 86, "cited_by_scopus": "88", "eid": "2-s2.0-85124244447", "pii": null, "open_access_url": "https://doi.org/10.1109/tits.2021.3138432", "sources": [ { "db": "openalex", "stream": "UAV", "query_id": "UAV-1" }, { "db": "scopus", "stream": "UAV", "query_id": "UAV-1" } ], "streams": [ "UAV" ], "relevance_signals": [ "UAV" ], "auto_exclude_reason": null, "screening_status": "pending_human_screening", "screened_by": "auto-v1.0.0" }, { "id": "doi:10.1016/j.cor.2022.106112", "doi": "10.1016/j.cor.2022.106112", "title": "The vehicle routing problem with drones and drone speed selection", "year": 2022, "authors": [ "Felix Tamke", "Udo Buscher" ], "first_author": "Felix Tamke", "venue": "Computers & Operations Research", "volume": "152", "pages": null, "type": "article", "language": "en", "abstract": null, "keywords": [ "Drone", "Truck", "Computer science", "Energy consumption", "Fuel efficiency", "Routing (electronic design automation)", "Operations research", "Automotive engineering", "Engineering" ], "cited_by_openalex": 94, "cited_by_scopus": "88", "eid": "2-s2.0-85145649375", "pii": "S0305054822003422", "open_access_url": "https://doi.org/10.1016/j.cor.2022.106112", "sources": [ { "db": "openalex", "stream": "UAV", "query_id": "UAV-1" }, { "db": "openalex", "stream": "UAV", "query_id": "UAV-2" }, { "db": "scopus", "stream": "UAV", "query_id": "UAV-1" }, { "db": "scopus", "stream": "UAV", "query_id": "UAV-2" } ], "streams": [ "UAV" ], "relevance_signals": [ "UAV_NO_CTX", "TRUCK_NO_CTX" ], "auto_exclude_reason": "EC-4-topic", "screening_status": "auto_excluded", "screened_by": "auto-v1.0.0" }, { "id": "doi:10.1016/j.eswa.2022.119228", "doi": "10.1016/j.eswa.2022.119228", "title": "A bi-objective green vehicle routing problem with a mixed fleet of conventional and electric trucks: Considering charging power and density of stations", "year": 2022, "authors": [ "Afsane Amiri", "Saman Hassanzadeh Amin", "Hossein Zolfagharinia" ], "first_author": "Afsane Amiri", "venue": "Expert Systems with Applications", "volume": "213", "pages": null, "type": "article", "language": "en", "abstract": null, "keywords": [ "Truck", "Greenhouse gas", "Computer science", "Vehicle routing problem", "Minification", "Constraint (computer-aided design)", "Routing (electronic design automation)", "Mathematical optimization", "Total cost", "Automotive engineering", "Function (biology)", "Operations research" ], "cited_by_openalex": 80, "cited_by_scopus": "86", "eid": "2-s2.0-85142329614", "pii": "S0957417422022461", "open_access_url": "https://doi.org/10.1016/j.eswa.2022.119228", "sources": [ { "db": "openalex", "stream": "TRUCK", "query_id": "TRUCK-3" }, { "db": "scopus", "stream": "TRUCK", "query_id": "TRUCK-3" } ], "streams": [ "TRUCK" ], "relevance_signals": [ "TRUCK_NO_CTX" ], "auto_exclude_reason": "EC-4-topic", "screening_status": "auto_excluded", "screened_by": "auto-v1.0.0" }, { "id": "doi:10.1109/access.2022.3152062", "doi": "10.1109/access.2022.3152062", "title": "A Simulated Annealing Algorithm for the Vehicle Routing Problem With Parcel Lockers", "year": 2022, "authors": [ "Vincent F. Yu", "Hadi Susanto", "Panca Jodiawan", "Tsai-Wei Ho", "Shih-Wei Lin", "Yu-Tsung Huang" ], "first_author": "Vincent F. Yu", "venue": "IEEE Access", "volume": "10", "pages": "20764-20782", "type": "article", "language": "en", "abstract": "Due to the growth in e-commerce, city logistics needs to cope with the rise of customers’ demand. Consequently, it adds to the complexity of the last-mile delivery process. Moreover, this process often contributes significantly to the distribution cost of companies. An alternative to alleviate the problem is the utilization of parcel lockers. It allows the delivery to be extended not only for home delivery but also for locker delivery, which brings several advantages in terms of cost-saving. However, considering multiple delivery options means adding new complexity to the delivery system. In the previous works, vehicle routing problem with time windows (VRPTW) has been widely dealt by only considering home delivery. This research proposes a new VRPTW variant by adding locker delivery as one of the delivery options. The developed problem is called the vehicle routing problem with parcel lockers (VRPPL). The goal of VRPPL is to minimize the total traveling cost. In this research, we formulate a new mathematical programming model and develop a simulated annealing (SA) algorithm to deal with VRPPL. A newly generated set of instances was developed from the well-known Solomon’s VRPTW instances. The performance of the proposed algorithm is also presented.", "keywords": [ "Simulated annealing", "Computer science", "Vehicle routing problem", "Routing (electronic design automation)", "Algorithm", "Computer network" ], "cited_by_openalex": 86, "cited_by_scopus": "84", "eid": "2-s2.0-85124813706", "pii": null, "open_access_url": "https://ieeexplore.ieee.org/ielx7/6287639/9668973/09714328.pdf", "sources": [ { "db": "openalex", "stream": "TRUCK", "query_id": "TRUCK-2" }, { "db": "scopus", "stream": "TRUCK", "query_id": "TRUCK-2" } ], "streams": [ "TRUCK" ], "relevance_signals": [ "NO_TECHNOLOGY_MATCH" ], "auto_exclude_reason": "EC-4-topic", "screening_status": "auto_excluded", "screened_by": "auto-v1.0.0" }, { "id": "doi:10.1007/s10479-022-04816-y", "doi": "10.1007/s10479-022-04816-y", "title": "A multi-objective humanitarian pickup and delivery vehicle routing problem with drones", "year": 2022, "authors": [ "Yichen Lu", "Chao Yang", "Jun Yang" ], "first_author": "Yichen Lu", "venue": "Annals of Operations Research", "volume": "319", "pages": "291-353", "type": "article", "language": "en", "abstract": null, "keywords": [ "Drone", "Vehicle routing problem", "Routing (electronic design automation)", "Pickup", "Computer science", "Ant colony optimization algorithms", "Mathematical optimization", "Truck", "Integer programming", "Theory of computation", "Operations research", "Engineering" ], "cited_by_openalex": 77, "cited_by_scopus": "84", "eid": "2-s2.0-85134336042", "pii": null, "open_access_url": "https://doi.org/10.1007/s10479-022-04816-y", "sources": [ { "db": "openalex", "stream": "UAV", "query_id": "UAV-2" }, { "db": "scopus", "stream": "UAV", "query_id": "UAV-2" } ], "streams": [ "UAV" ], "relevance_signals": [ "UAV_NO_CTX", "TRUCK_NO_CTX" ], "auto_exclude_reason": "EC-4-topic", "screening_status": "auto_excluded", "screened_by": "auto-v1.0.0" }, { "id": "doi:10.1016/j.ejor.2022.02.028", "doi": "10.1016/j.ejor.2022.02.028", "title": "A mixed truck and robot delivery approach for the daily supply of customers", "year": 2022, "authors": [ "Andreas Heimfarth", "Manuel Ostermeier", "Alexander Hübner" ], "first_author": "Andreas Heimfarth", "venue": "European Journal of Operational Research", "volume": "303", "pages": "401-421", "type": "article", "language": "en", "abstract": null, "keywords": [ "Truck", "Robot", "Computer science", "Business", "Operations research", "Automotive engineering", "Engineering", "Artificial intelligence" ], "cited_by_openalex": 84, "cited_by_scopus": "83", "eid": "2-s2.0-85126900830", "pii": "S0377221722001333", "open_access_url": "https://opus.bibliothek.uni-augsburg.de/opus4/files/97519/97519.pdf", "sources": [ { "db": "openalex", "stream": "TRUCK", "query_id": "TRUCK-3" }, { "db": "scopus", "stream": "TRUCK", "query_id": "TRUCK-3" } ], "streams": [ "TRUCK" ], "relevance_signals": [ "TRUCK_NO_CTX" ], "auto_exclude_reason": "EC-4-topic", "screening_status": "auto_excluded", "screened_by": "auto-v1.0.0" }, { "id": "doi:10.1016/j.cie.2022.108057", "doi": "10.1016/j.cie.2022.108057", "title": "Locating platforms and scheduling a fleet of drones for emergency delivery of perishable items", "year": 2022, "authors": [ "Monica Gentili", "Pitu B. Mirchandani", "Alessandro Agnetis", "Zabih Ghelichi" ], "first_author": "Monica Gentili", "venue": "Computers & Industrial Engineering", "volume": null, "pages": null, "type": "article", "language": "en", "abstract": null, "keywords": [ "Drone", "Operations research", "Computer science", "Scheduling (production processes)", "Perishability", "Function (biology)", "Real-time computing", "Engineering", "Operations management", "Business" ], "cited_by_openalex": 83, "cited_by_scopus": 0, "eid": null, "pii": null, "open_access_url": "https://doi.org/10.1016/j.cie.2022.108057", "sources": [ { "db": "openalex", "stream": "UAV", "query_id": "UAV-2" } ], "streams": [ "UAV" ], "relevance_signals": [ "UAV_NO_CTX" ], "auto_exclude_reason": "EC-4-topic", "screening_status": "auto_excluded", "screened_by": "auto-v1.0.0" }, { "id": "doi:10.1016/j.tre.2022.102783", "doi": "10.1016/j.tre.2022.102783", "title": "A cost-based comparative analysis of different last-mile strategies for e-commerce delivery", "year": 2022, "authors": [ "Anmol Pahwa", "Miguel Jaller" ], "first_author": "Anmol Pahwa", "venue": "Transportation Research Part E Logistics and Transportation Review", "volume": "164", "pages": null, "type": "article", "language": "en", "abstract": null, "keywords": [ "Truck", "Last mile (transportation)", "Work (physics)", "Business", "Consolidation (business)", "Market share", "Distribution (mathematics)", "Demand patterns", "Fleet management", "Transport engineering", "Environmental economics", "Mile" ], "cited_by_openalex": 92, "cited_by_scopus": "81", "eid": "2-s2.0-85132699427", "pii": "S1366554522001739", "open_access_url": "https://doi.org/10.1016/j.tre.2022.102783", "sources": [ { "db": "openalex", "stream": "TRUCK", "query_id": "TRUCK-1" }, { "db": "scopus", "stream": "TRUCK", "query_id": "TRUCK-1" } ], "streams": [ "TRUCK" ], "relevance_signals": [ "TRUCK" ], "auto_exclude_reason": null, "screening_status": "pending_human_screening", "screened_by": "auto-v1.0.0" }, { "id": "doi:10.1109/jiot.2022.3182750", "doi": "10.1109/jiot.2022.3182750", "title": "JRCS: Joint Routing and Charging Strategy for Logistics Drones", "year": 2022, "authors": [ "Muhammad Yeasir Arafat", "Sangman Moh" ], "first_author": "Muhammad Yeasir Arafat", "venue": "IEEE Internet of Things Journal", "volume": "9", "pages": "21751-21764", "type": "article", "language": "en", "abstract": "Unmanned aerial vehicles (UAVs), commonly known as drones, are currently being used to combat the COVID-19 pandemic through applications, including the delivery of medical supplies, aerial spraying, and public space monitoring. In a pandemic, drone-based delivery is a promising and highly efficient method to reduce transportation time, cost, and exposure to infection. However, owing to both the limited battery lifetime and the limited functions of UAV in-flight missions, it is difficult to implement multiple deliveries over long distances in a single transportation mission. In this article, we study how to extend the drone flight time with charging stations and ensure multiple deliveries in a single mission. For multiple long-distance deliveries, optimization methods are required to design the delivery area networks of customers, charging stations, and delivery routes. We propose a joint routing and charging strategy (JRCS) comprising three phases to perform multiple deliveries in a single mission. We first split the customers of a delivery area using a clustering algorithm according to their distance from the nearest charging station and the maximum flight range. The second phase provides flight segmentation and intersegment routes between the depot, customer locations, and charging stations based on the maximum flight range and safe flight distance. The joint consideration of drone routes with charging stations minimizes the number of charging stations and ensures safe delivery. Finally, we formulate mixed-integer linear programming to solve the drone delivery route problem. According to simulation results, the proposed JRCS outperforms existing delivery approaches in terms of various performance metrics.", "keywords": [ "Drone", "Computer science", "Cluster analysis", "Routing (electronic design automation)", "Real-time computing", "Range (aeronautics)", "Computer network", "Engineering", "Aerospace engineering", "Artificial intelligence" ], "cited_by_openalex": 80, "cited_by_scopus": "81", "eid": "2-s2.0-85132736204", "pii": null, "open_access_url": "https://ieeexplore.ieee.org/ielx7/6488907/9926222/09795673.pdf", "sources": [ { "db": "openalex", "stream": "UAV", "query_id": "UAV-2" }, { "db": "openalex", "stream": "UAV", "query_id": "UAV-3" }, { "db": "scopus", "stream": "UAV", "query_id": "UAV-3" } ], "streams": [ "UAV" ], "relevance_signals": [ "UAV_NO_CTX" ], "auto_exclude_reason": "EC-4-topic", "screening_status": "auto_excluded", "screened_by": "auto-v1.0.0" }, { "id": "doi:10.1007/s40305-021-00383-4", "doi": "10.1007/s40305-021-00383-4", "title": "A Survey of Truck–Drone Routing Problem: Literature Review and Research Prospects", "year": 2022, "authors": [ "Yijing Liang", "Zhixing Luo" ], "first_author": "Yijing Liang", "venue": "Journal of the Operations Research Society of China", "volume": "10", "pages": "343-377", "type": "article", "language": "en", "abstract": null, "keywords": [ "Drone", "Truck", "Vehicle routing problem", "Travelling salesman problem", "Routing (electronic design automation)", "Computer science", "Operations research", "Transport engineering", "Engineering", "Computer network" ], "cited_by_openalex": 90, "cited_by_scopus": "80", "eid": "2-s2.0-85127681096", "pii": null, "open_access_url": "https://doi.org/10.1007/s40305-021-00383-4", "sources": [ { "db": "openalex", "stream": "TRUCK", "query_id": "TRUCK-1" }, { "db": "openalex", "stream": "UAV", "query_id": "UAV-1" }, { "db": "openalex", "stream": "UAV", "query_id": "UAV-2" }, { "db": "scopus", "stream": "TRUCK", "query_id": "TRUCK-1" }, { "db": "scopus", "stream": "UAV", "query_id": "UAV-1" }, { "db": "scopus", "stream": "UAV", "query_id": "UAV-2" } ], "streams": [ "TRUCK", "UAV" ], "relevance_signals": [ "UAV_NO_CTX", "TRUCK_NO_CTX" ], "auto_exclude_reason": "EC-4-topic", "screening_status": "auto_excluded", "screened_by": "auto-v1.0.0" }, { "id": "doi:10.1016/j.eswa.2022.117647", "doi": "10.1016/j.eswa.2022.117647", "title": "An adaptive large neighborhood search heuristic for the flying sidekick traveling salesman problem with multiple drops", "year": 2022, "authors": [ "Setyo Tri Windras Mara", "Achmad Pratama Rifai", "Bertha Maya Sopha" ], "first_author": "Setyo Tri Windras Mara", "venue": "Expert Systems with Applications", "volume": "205", "pages": null, "type": "article", "language": "en", "abstract": null, "keywords": [ "Travelling salesman problem", "Computer science", "Drone", "Vehicle routing problem", "Heuristic", "Context (archaeology)", "Mathematical optimization", "Local search (optimization)", "Operations research", "Truck", "Routing (electronic design automation)", "Artificial intelligence" ], "cited_by_openalex": 75, "cited_by_scopus": "79", "eid": "2-s2.0-85131462473", "pii": "S0957417422009514", "open_access_url": "https://doi.org/10.1016/j.eswa.2022.117647", "sources": [ { "db": "openalex", "stream": "TRUCK", "query_id": "TRUCK-1" }, { "db": "openalex", "stream": "UAV", "query_id": "UAV-1" }, { "db": "scopus", "stream": "TRUCK", "query_id": "TRUCK-1" }, { "db": "scopus", "stream": "UAV", "query_id": "UAV-1" } ], "streams": [ "TRUCK", "UAV" ], "relevance_signals": [ "UAV_NO_CTX", "TRUCK_NO_CTX" ], "auto_exclude_reason": "EC-4-topic", "screening_status": "auto_excluded", "screened_by": "auto-v1.0.0" }, { "id": "doi:10.1109/jiot.2022.3142095", "doi": "10.1109/jiot.2022.3142095", "title": "Edge-Cloud Blockchain and IoE-Enabled Quality Management Platform for Perishable Supply Chain Logistics", "year": 2022, "authors": [ "Chen Yang", "Shulin Lan", "Zhiheng Zhao", "Mengdi Zhang", "Wei Ying Wu", "George Q. Huang" ], "first_author": "Chen Yang", "venue": "IEEE Internet of Things Journal", "volume": "10", "pages": "3264-3275", "type": "article", "language": "en", "abstract": "In perishable supply chain logistics, even a small departure from the required storage conditions at any distribution link can compromise the quality of transported products, such as food, pharmaceuticals, and other bioproducts, resulting in big losses for the businesses involved or even threats to public health. To enhance quality management (QM) and consumer confidence, an edge-cloud blockchain and Internet of Everything (IoE)-enabled QM platform is proposed to achieve low delay and rapid response for sensor data acquisition, authentication, consistency, and transparency in cold supply chain logistics. Then, we design an adaptive data smoothing and compression (ADSC) mechanism to reduce IoE data size, and analyze and store those data in the edge gateways with limited computation and storage capacity for correctly characterizing logistics operations and transactions. Moreover, to ensure the data integrity during last-mile delivery, the mobile edge gateway is adopted when the goods are temporarily off the communication range of the fixed edge gateway in the truck. Then, we propose a synchronization engine with a formal workflow applied at mobile and fixed edge gateways where data blocks are generated, validated, and synchronized with the cloud. Finally, a real-life case study on vaccine logistics is introduced to verify our proposed approach with results presented.", "keywords": [ "Computer science", "Cloud computing", "Edge computing", "Supply chain", "Enhanced Data Rates for GSM Evolution", "Data integrity", "Cloud storage", "Computer network", "Computer security", "Telecommunications", "Operating system", "Business" ], "cited_by_openalex": 79, "cited_by_scopus": "79", "eid": "2-s2.0-85123285175", "pii": null, "open_access_url": "https://doi.org/10.1109/jiot.2022.3142095", "sources": [ { "db": "openalex", "stream": "TRUCK", "query_id": "TRUCK-1" }, { "db": "scopus", "stream": "TRUCK", "query_id": "TRUCK-1" } ], "streams": [ "TRUCK" ], "relevance_signals": [ "TRUCK" ], "auto_exclude_reason": null, "screening_status": "pending_human_screening", "screened_by": "auto-v1.0.0" }, { "id": "doi:10.1016/j.tre.2022.102872", "doi": "10.1016/j.tre.2022.102872", "title": "A route network planning method for urban air delivery", "year": 2022, "authors": [ "Xinyu He", "Fang He", "Lishuai Li", "Lei Zhang", "Gang Xiao" ], "first_author": "Xinyu He", "venue": "Transportation Research Part E Logistics and Transportation Review", "volume": "166", "pages": null, "type": "article", "language": "en", "abstract": "High-tech giants and start-ups are investing in drone technologies to provide urban air delivery service, which is expected to solve the last-mile problem and mitigate road traffic congestion. However, air delivery service will not scale up without proper traffic management for drones in dense urban environment. Currently, a range of Concepts of Operations (ConOps) for unmanned aircraft system traffic management (UTM) are being proposed and evaluated by researchers, operators, and regulators. Among these, the tube-based (or corridor-based) ConOps has emerged in operations in some regions of the world for drone deliveries and is expected to continue serving certain scenarios that with dense and complex airspace and requires centralized control in the future. Towards the tube-based ConOps, we develop a route network planning method to design routes (tubes) in a complex urban environment in this paper. In this method, we propose a priority structure to decouple the network planning problem, which is NP-hard, into single-path planning problems. We also introduce a novel space cost function to enable the design of dense and aligned routes in a network. The proposed method is tested on various scenarios and compared with other state-of-the-art methods. Results show that our method can generate near-optimal route networks with significant computational time-savings.", "keywords": [ "Drone", "Service (business)", "Computer science", "Network planning and design", "Air traffic management", "Traffic congestion", "Transport engineering", "Function (biology)", "Air traffic control", "Operations research", "Computer network", "Engineering" ], "cited_by_openalex": 71, "cited_by_scopus": "79", "eid": "2-s2.0-85137604280", "pii": "S1366554522002526", "open_access_url": "https://www.sciencedirect.com/science/article/pii/S1366554522002526/pdf", "sources": [ { "db": "openalex", "stream": "UAV", "query_id": "UAV-1" }, { "db": "scopus", "stream": "UAV", "query_id": "UAV-1" } ], "streams": [ "UAV" ], "relevance_signals": [ "UAV" ], "auto_exclude_reason": null, "screening_status": "pending_human_screening", "screened_by": "auto-v1.0.0" }, { "id": "doi:10.1016/j.cie.2022.108679", "doi": "10.1016/j.cie.2022.108679", "title": "A novel multi-objective optimization model for the vehicle routing problem with drone delivery and dynamic flight endurance", "year": 2022, "authors": [ "Shuai Zhang", "Siliang Liu", "Weibo Xu", "Wanru Wang" ], "first_author": "Shuai Zhang", "venue": "Computers & Industrial Engineering", "volume": "173", "pages": null, "type": "article", "language": "en", "abstract": null, "keywords": [ "Drone", "Vehicle routing problem", "Engineering", "Computer science", "Routing (electronic design automation)", "Aeronautics", "Simulation", "Operations research", "Automotive engineering", "Embedded system" ], "cited_by_openalex": 77, "cited_by_scopus": "78", "eid": "2-s2.0-85138473854", "pii": "S0360835222006672", "open_access_url": "https://doi.org/10.1016/j.cie.2022.108679", "sources": [ { "db": "openalex", "stream": "UAV", "query_id": "UAV-2" }, { "db": "scopus", "stream": "UAV", "query_id": "UAV-2" } ], "streams": [ "UAV" ], "relevance_signals": [ "UAV_NO_CTX" ], "auto_exclude_reason": "EC-4-topic", "screening_status": "auto_excluded", "screened_by": "auto-v1.0.0" }, { "id": "doi:10.3390/drones7010022", "doi": "10.3390/drones7010022", "title": "Gusts Encountered by Flying Vehicles in Proximity to Buildings", "year": 2022, "authors": [ "Abdulghani Mohamed", "Matthew Marino", "Simon Watkins", "Justin Jaworski", "Anya R. Jones" ], "first_author": "Abdulghani Mohamed", "venue": "Drones", "volume": "7", "pages": null, "type": "article", "language": "en", "abstract": "There is a growing desire to operate Uncrewed Air Vehicles (UAVs) in urban environments for parcel delivery, and passenger-carrying air taxis for Advanced Air Mobility (AAM). The turbulent flows and gusts around buildings and other urban infrastructure can affect the steadiness and stability of such air vehicles by generating a highly transient relative flow field. Our aim is to review existing gust models, then consider gust encounters in the vicinity of buildings as experienced by flight trajectories over the roof of a nominally cuboid building in a suburban atmospheric boundary layer. Simplified models of fixed- and rotary-wing aircraft are used to illustrate the changes in lift and thrust experienced by flight around the building. The analysis showed that fixed-wing aircraft experienced a substantial increase in angle of attack over a relatively short period of time (<1 s) as they fly through the shear layer at a representative forward velocity, which can be well above typical stall angles. Due to the slow flight speeds required for landing and take-off, significant control authority of rotor systems is required to ensure safe operation due to the high disturbance effects caused by localized gusts from buildings and protruding structures. Currently there appears to be negligible certification or regulation for AAM systems to ensure safe operations when traversing building flow fields under windy conditions and it is hoped that the insights provided in this paper will assist with future certification and regulation.", "keywords": [ "Stall (fluid mechanics)", "Thrust vectoring", "Aircraft flight mechanics", "Traverse", "Lift (data mining)", "Aeronautics", "Aerospace engineering", "Downwash", "Marine engineering", "Wing", "Aviation", "Engineering" ], "cited_by_openalex": 70, "cited_by_scopus": "77", "eid": "2-s2.0-85146783337", "pii": null, "open_access_url": "https://www.mdpi.com/2504-446X/7/1/22/pdf?version=1672217218", "sources": [ { "db": "openalex", "stream": "UAV", "query_id": "UAV-1" }, { "db": "scopus", "stream": "UAV", "query_id": "UAV-1" }, { "db": "scopus", "stream": "UAV", "query_id": "UAV-3" } ], "streams": [ "UAV" ], "relevance_signals": [ "UAV" ], "auto_exclude_reason": null, "screening_status": "pending_human_screening", "screened_by": "auto-v1.0.0" }, { "id": "doi:10.3390/su141912247", "doi": "10.3390/su141912247", "title": "Sustainable Logistics for E-Commerce: A Literature Review and Bibliometric Analysis", "year": 2022, "authors": [ "José Alejandro Cano", "Abraham Allec Londoño Pineda", "Carolina Rodas" ], "first_author": "José Alejandro Cano", "venue": "Sustainability", "volume": "14", "pages": null, "type": "article", "language": "en", "abstract": "This study aims to present a bibliometric analysis and literature review and to identify publications, main topics, and trends in recent years about the sustainability of logistics operations in e-commerce environments. For this, we considered 99 documents from Scopus published in 2021 and 2022 that address logistics, e-commerce, and sustainability. The bibliometric analysis shows that authors from Italy and India stand out for generating the largest number of publications, and correspondingly, institutional affiliations from these countries present the largest scientific production. It is established that journals such as Sustainability, International Journal of Logistics Research and Applications, and Sustainable Cities and Society lead both in the number of published articles and the number of articles with the highest citations. Within the main topics are the sustainability of e-commerce logistics, last-mile logistics and delivery logistics, urban and city logistics, environmental impact, urban transport, packing and packaging, traffic and congestion, supply chains, the effects of the COVID-19 pandemic, China and cross-border e-commerce, vehicle routing, optimization methods, and decision-making techniques in operations for cost and energy efficiency. Similarly, this study identifies the main research trends related to multiple dimensions of sustainability; technological developments including electric vehicles and specialized software; crowdshipping; operation modes such as collection and delivery points, parcel lockers, and micro-depots; and policymaking.", "keywords": [ "Sustainability", "City logistics", "Scopus", "Business", "Supply chain", "China", "Humanitarian Logistics", "Reverse logistics", "Environmental economics", "Transport engineering", "Marketing", "Industrial organization" ], "cited_by_openalex": 90, "cited_by_scopus": "76", "eid": "2-s2.0-85139803009", "pii": null, "open_access_url": "https://www.mdpi.com/2071-1050/14/19/12247/pdf?version=1664275433", "sources": [ { "db": "openalex", "stream": "TRUCK", "query_id": "TRUCK-2" }, { "db": "scopus", "stream": "TRUCK", "query_id": "TRUCK-2" } ], "streams": [ "TRUCK" ], "relevance_signals": [ "NO_TECHNOLOGY_MATCH" ], "auto_exclude_reason": "EC-4-topic", "screening_status": "auto_excluded", "screened_by": "auto-v1.0.0" }, { "id": "doi:10.3390/asi5040082", "doi": "10.3390/asi5040082", "title": "Toward a Modern Last-Mile Delivery: Consequences and Obstacles of Intelligent Technology", "year": 2022, "authors": [ "Shahryar Sorooshian", "Shila Khademi Sharifabad", "Mehrdad Parsaee", "Ali Reza Afshari" ], "first_author": "Shahryar Sorooshian", "venue": "Applied System Innovation", "volume": "5", "pages": null, "type": "article", "language": "en", "abstract": "Last-mile delivery (LMD) is essential in supply chains, and providers of logistics services are aware that they must adapt to changing customer and society expectations, competition challenges, and modern technologies. In light of the importance of artificial intelligence (AI) in modern technologies, this article employed a narrative literature review to recognize impacts of AI-powered technologies that aid in optimizing the LMD component. For this study, two possible classes of technologies were considered: tangible technologies, such as robots, drones, and autonomous vehicles, and intangible technologies, such as decision support tools and operating systems. Thus, this article frames potential developments in modern LMD, taking into account the fact that technological advancement brings both opportunities and challenges. According to this literature review, the modern version of LMD is capable of providing services that are both more productive and more sustainable, thus satisfying demands for better services. Last but not least, another goal of this article was to look into the challenges that limit the benefits of modern LMDs. Finally, suggestions are provided as a resource for practitioners and policymakers working in the supply chain to improve performance.", "keywords": [ "Emerging technologies", "Supply chain", "Drone", "Computer science", "Last mile (transportation)", "Business", "Engineering management", "Risk analysis (engineering)", "Knowledge management", "Marketing", "Mile", "Engineering" ], "cited_by_openalex": 76, "cited_by_scopus": "76", "eid": "2-s2.0-85137186878", "pii": null, "open_access_url": "https://www.mdpi.com/2571-5577/5/4/82/pdf?version=1660719192", "sources": [ { "db": "openalex", "stream": "UAV", "query_id": "UAV-1" }, { "db": "scopus", "stream": "UAV", "query_id": "UAV-1" } ], "streams": [ "UAV" ], "relevance_signals": [ "UAV" ], "auto_exclude_reason": null, "screening_status": "pending_human_screening", "screened_by": "auto-v1.0.0" }, { "id": "doi:10.1080/24725854.2022.2060535", "doi": "10.1080/24725854.2022.2060535", "title": "Branch-price-and-cut for trucks and drones cooperative delivery", "year": 2022, "authors": [ "Lu Zhen", "Jiajing Gao", "Zheyi Tan", "Shuaian Wang", "Roberto Baldacci" ], "first_author": "Lu Zhen", "venue": "IISE Transactions", "volume": "55", "pages": "271-287", "type": "article", "language": "en", "abstract": "The truck and drone-based cooperative model of delivery can improve the efficiency of last mile delivery, and has thus increasingly attracted attention in academia and from practitioners. In this study, we examine a vehicle routing problem and apply a cooperative form of delivery involving trucks and drones. We propose a mixed-integer programming model and a branch-price-and-cut-based exact algorithm to address this problem. To reduce the computation time, we design several acceleration strategies, including a combination of dynamic programming and calculus-based approximation for the pricing problem, and various effective inequalities for the restricted master problem. Numerical experiments are conducted to validate the effectiveness and efficiency of the proposed solution.", "keywords": [ "Truck", "Drone", "Computer science", "Aeronautics", "Business", "Automotive engineering", "Engineering", "Biology" ], "cited_by_openalex": 78, "cited_by_scopus": "75", "eid": "2-s2.0-85132627353", "pii": null, "open_access_url": "http://ira.lib.polyu.edu.hk/bitstream/10397/99079/1/trucks%20and%20drones.pdf", "sources": [ { "db": "openalex", "stream": "TRUCK", "query_id": "TRUCK-1" }, { "db": "openalex", "stream": "UAV", "query_id": "UAV-1" }, { "db": "openalex", "stream": "UAV", "query_id": "UAV-2" }, { "db": "scopus", "stream": "TRUCK", "query_id": "TRUCK-1" }, { "db": "scopus", "stream": "UAV", "query_id": "UAV-1" }, { "db": "scopus", "stream": "UAV", "query_id": "UAV-2" } ], "streams": [ "TRUCK", "UAV" ], "relevance_signals": [ "UAV", "TRUCK" ], "auto_exclude_reason": null, "screening_status": "pending_human_screening", "screened_by": "auto-v1.0.0" }, { "id": "doi:10.1109/tie.2022.3163526", "doi": "10.1109/tie.2022.3163526", "title": "Unmanned Aerial Transportation System With Flexible Connection Between the Quadrotor and the Payload: Modeling, Controller Design, and Experimental Validation", "year": 2022, "authors": [ "Xiao Liang", "Hai Ying Yu", "Zhuang Zhang", "Huawang Liu", "Yongchun Fang", "Jianda Han" ], "first_author": "Xiao Liang", "venue": "IEEE Transactions on Industrial Electronics", "volume": "70", "pages": "1870-1882", "type": "article", "language": "en", "abstract": "Aerial delivery is becoming a reality due to the development of microelectronics and communication technology. Most existing methods for cable-suspended transportation systems utilize fixed-length cable to connect the unmanned aerial vehicle quadrotor and the payload. Such aerial transportation systems present underactuated property, which is caused by the indirectly controllable payload motion and the underactuation of the quadrotor itself. In practical applications, payload hoisting and lowering motion independent of the quadrotor altitude will further expand the application scope in such areas as limited space crossing and offshore sample collection. To realize the aforementioned objectives, a flexible connection between the quadrotor and the payload is realized by mounting an actuator beneath the fuselage. Suffering from strong nonlinearity and complex dynamic coupling, the control problem becomes extremely challenging and more cumbersome, as the system’s degree of freedom (DOF) increases. To deal with these problems, in this article, a nonlinear control approach is presented by energy-based analysis, which achieves simultaneous quadrotor positioning, payload swing elimination and hoisting/lowering. Lyapunov techniques and LaSalle’s Invariance theorem are utilized to prove the asymptotic convergence of the equilibrium point. Finally, a series of hardware experiments are conducted on a self-built aerial transportation platform. As far as we know, this article provides the first mechanism and control solution for payload hoisting/lowering independent of the quadrotor altitude.", "keywords": [ "Payload (computing)", "Underactuation", "Controller (irrigation)", "Lyapunov function", "Control theory (sociology)", "Fuselage", "Engineering", "Computer science", "Control engineering", "Nonlinear system", "Aerospace engineering", "Control (management)" ], "cited_by_openalex": 74, "cited_by_scopus": "75", "eid": "2-s2.0-85127795100", "pii": null, "open_access_url": "https://doi.org/10.1109/tie.2022.3163526", "sources": [ { "db": "openalex", "stream": "UAV", "query_id": "UAV-3" }, { "db": "scopus", "stream": "UAV", "query_id": "UAV-3" } ], "streams": [ "UAV" ], "relevance_signals": [ "UAV_NO_CTX" ], "auto_exclude_reason": "EC-4-topic", "screening_status": "auto_excluded", "screened_by": "auto-v1.0.0" }, { "id": "doi:10.1016/j.eswa.2022.116604", "doi": "10.1016/j.eswa.2022.116604", "title": "A multi-agent approach to the truck multi-drone routing problem", "year": 2022, "authors": [ "Jose Miguel Leon-Blanco", "P.L. Gonzalez-R", "José Luis Andrade-Pineda", "David Canca", "M. Calle" ], "first_author": "Jose Miguel Leon-Blanco", "venue": "Expert Systems with Applications", "volume": "195", "pages": null, "type": "article", "language": "en", "abstract": "In this work, we address the Truck-multi-Drone Team Logistics Problem (TmDTL), devoted to visit a set of points with a truck helped by a team of unmanned aerial vehicles (UAVs) or drones in the minimum time, starting at a certain location and ending at a different one. It is an enhanced version of the multiple Flying Sidekicks Traveling Salesman Problem (mFSTSP) presented in Murray and Raj (2020) wherein drones are allowed to visit several customers per trip. In order to cope with large instances of the complex TmDTL, we have developed a novel agent-based method where agents represent the points that are going to be visited by vehicles. Agents evolve by means of movement inside a grid (locations vs. vehicles) according to a set of rules in the seek of better objective function values. Each agent needs to explore only a fraction of the complete problem, sharing its progress with the rest of the agents which are coordinated by one central agent which helps to maintain an asynchronous memory of solutions – e.g. on the control of the mechanism to escape from local minima. Our agent-based approach is firstly tested using the largest instances of the single TDTL problem reported in the literature, which additionally serves as upper bounds to the TmDTL problem. Secondly, we have solved instances up to 500 locations with up to 6 drones in the fleet. Thirdly, we have tested the behavior of our approach in 500 locations problems with up to 8 drones in order to test the fleet size sensitivity. Our experiments demonstrate the ability of the proposed agent-based system to obtain good quality solutions for complex optimization problems that arise. Further, the abstraction in solutions coding applied makes the agent-based approach scalable and flexible enough to be applied to a wide range of other optimization problems.", "keywords": [ "Drone", "Travelling salesman problem", "Computer science", "Truck", "Set (abstract data type)", "Maxima and minima", "Grid", "Order (exchange)", "Asynchronous communication", "Operations research", "Function (biology)", "Computer network" ], "cited_by_openalex": 77, "cited_by_scopus": "73", "eid": "2-s2.0-85123929579", "pii": "S0957417422000975", "open_access_url": "https://www.sciencedirect.com/science/article/pii/S0957417422000975/pdf", "sources": [ { "db": "openalex", "stream": "UAV", "query_id": "UAV-2" }, { "db": "scopus", "stream": "UAV", "query_id": "UAV-2" } ], "streams": [ "UAV" ], "relevance_signals": [ "UAV_NO_CTX", "TRUCK_NO_CTX" ], "auto_exclude_reason": "EC-4-topic", "screening_status": "auto_excluded", "screened_by": "auto-v1.0.0" }, { "id": "doi:10.1016/j.tre.2022.102633", "doi": "10.1016/j.tre.2022.102633", "title": "Container port drayage operations and management: Past and future", "year": 2022, "authors": [ "Rui Chen", "Qiang Meng", "Peng Jia" ], "first_author": "Rui Chen", "venue": "Transportation Research Part E Logistics and Transportation Review", "volume": "159", "pages": null, "type": "article", "language": "en", "abstract": null, "keywords": [ "Container (type theory)", "Port (circuit theory)", "Truck", "Containerization", "Transport engineering", "Service (business)", "Business", "Computer science", "Operations research", "Engineering", "Marketing", "Automotive engineering" ], "cited_by_openalex": 72, "cited_by_scopus": "71", "eid": "2-s2.0-85125232401", "pii": "S136655452200031X", "open_access_url": "https://doi.org/10.1016/j.tre.2022.102633", "sources": [ { "db": "openalex", "stream": "TRUCK", "query_id": "TRUCK-3" }, { "db": "scopus", "stream": "TRUCK", "query_id": "TRUCK-3" } ], "streams": [ "TRUCK" ], "relevance_signals": [ "TRUCK_NO_CTX" ], "auto_exclude_reason": "EC-4-topic", "screening_status": "auto_excluded", "screened_by": "auto-v1.0.0" }, { "id": "doi:10.1109/tii.2021.3098506", "doi": "10.1109/tii.2021.3098506", "title": "Real-Time UAV Routing Strategy for Monitoring and Inspection for Postdisaster Restoration of Distribution Networks", "year": 2022, "authors": [ "Fu J." ], "first_author": "Fu J.", "venue": "IEEE Transactions on Industrial Informatics", "volume": "18", "pages": "2582-2592", "type": "Article", "language": null, "abstract": null, "keywords": [], "cited_by_openalex": 0, "cited_by_scopus": "71", "eid": "2-s2.0-85112612163", "pii": null, "open_access_url": null, "sources": [ { "db": "scopus", "stream": "UAV", "query_id": "UAV-2" } ], "streams": [ "UAV" ], "relevance_signals": [ "UAV_NO_CTX" ], "auto_exclude_reason": "EC-4-topic", "screening_status": "auto_excluded", "screened_by": "auto-v1.0.0" }, { "id": "doi:10.1111/itor.13030", "doi": "10.1111/itor.13030", "title": "Exact models for the flying sidekick traveling salesman problem", "year": 2022, "authors": [ "Dell'Amico M." ], "first_author": "Dell'Amico M.", "venue": "International Transactions in Operational Research", "volume": "29", "pages": "1360-1393", "type": "Article", "language": null, "abstract": null, "keywords": [], "cited_by_openalex": 0, "cited_by_scopus": "67", "eid": "2-s2.0-85109154949", "pii": null, "open_access_url": null, "sources": [ { "db": "scopus", "stream": "UAV", "query_id": "UAV-1" } ], "streams": [ "UAV" ], "relevance_signals": [ "NO_TECHNOLOGY_MATCH" ], "auto_exclude_reason": "EC-4-topic", "screening_status": "auto_excluded", "screened_by": "auto-v1.0.0" }, { "id": "doi:10.1016/j.engappai.2022.105439", "doi": "10.1016/j.engappai.2022.105439", "title": "Machine learning approach for truck-drones based last-mile delivery in the era of industry 4.0", "year": 2022, "authors": [ "Ali Arishi", "Krishna Krishnan", "Majed Arishi" ], "first_author": "Ali Arishi", "venue": "Engineering Applications of Artificial Intelligence", "volume": "116", "pages": null, "type": "article", "language": "en", "abstract": null, "keywords": [ "Drone", "Truck", "Computer science", "Travelling salesman problem", "Cluster analysis", "Last mile (transportation)", "Vehicle routing problem", "Routing (electronic design automation)", "Mile", "Operations research", "Artificial intelligence", "Computer network" ], "cited_by_openalex": 66, "cited_by_scopus": "65", "eid": "2-s2.0-85138204582", "pii": "S0952197622004298", "open_access_url": "https://doi.org/10.1016/j.engappai.2022.105439", "sources": [ { "db": "openalex", "stream": "TRUCK", "query_id": "TRUCK-1" }, { "db": "openalex", "stream": "TRUCK", "query_id": "TRUCK-3" }, { "db": "openalex", "stream": "UAV", "query_id": "UAV-1" }, { "db": "openalex", "stream": "UAV", "query_id": "UAV-2" }, { "db": "scopus", "stream": "TRUCK", "query_id": "TRUCK-1" }, { "db": "scopus", "stream": "TRUCK", "query_id": "TRUCK-3" }, { "db": "scopus", "stream": "UAV", "query_id": "UAV-1" }, { "db": "scopus", "stream": "UAV", "query_id": "UAV-2" } ], "streams": [ "TRUCK", "UAV" ], "relevance_signals": [ "UAV", "TRUCK" ], "auto_exclude_reason": null, "screening_status": "pending_human_screening", "screened_by": "auto-v1.0.0" }, { "id": "doi:10.1016/j.tre.2021.102545", "doi": "10.1016/j.tre.2021.102545", "title": "Crowd-shipping problem with time windows, transshipment nodes, and delivery options", "year": 2022, "authors": [ "Yu V.F." ], "first_author": "Yu V.F.", "venue": "Transportation Research Part E Logistics and Transportation Review", "volume": "157", "pages": null, "type": "Article", "language": null, "abstract": null, "keywords": [], "cited_by_openalex": 0, "cited_by_scopus": "65", "eid": "2-s2.0-85121592442", "pii": "S1366554521003033", "open_access_url": null, "sources": [ { "db": "scopus", "stream": "TRUCK", "query_id": "TRUCK-2" } ], "streams": [ "TRUCK" ], "relevance_signals": [ "NO_TECHNOLOGY_MATCH" ], "auto_exclude_reason": "EC-4-topic", "screening_status": "auto_excluded", "screened_by": "auto-v1.0.0" }, { "id": "doi:10.1016/j.ejor.2022.03.058", "doi": "10.1016/j.ejor.2022.03.058", "title": "A branch-and-price algorithm for location-routing problems with pick-up stations in the last-mile distribution system", "year": 2022, "authors": [ "Mengtong Wang", "Canrong Zhang", "Michael G.H. Bell", "Lixin Miao" ], "first_author": "Mengtong Wang", "venue": "European Journal of Operational Research", "volume": "303", "pages": "1258-1276", "type": "article", "language": "en", "abstract": null, "keywords": [ "Last mile (transportation)", "Computer science", "Routing (electronic design automation)", "Integer programming", "Operations research", "Key (lock)", "Facility location problem", "Vehicle routing problem", "Plan (archaeology)", "Mile", "Mathematical optimization", "Algorithm" ], "cited_by_openalex": 63, "cited_by_scopus": "61", "eid": "2-s2.0-85132671292", "pii": "S0377221722003022", "open_access_url": "https://doi.org/10.1016/j.ejor.2022.03.058", "sources": [ { "db": "openalex", "stream": "TRUCK", "query_id": "TRUCK-2" }, { "db": "scopus", "stream": "TRUCK", "query_id": "TRUCK-2" } ], "streams": [ "TRUCK" ], "relevance_signals": [ "NO_TECHNOLOGY_MATCH" ], "auto_exclude_reason": "EC-4-topic", "screening_status": "auto_excluded", "screened_by": "auto-v1.0.0" }, { "id": "doi:10.23919/jcc.2022.01.014", "doi": "10.23919/jcc.2022.01.014", "title": "Routing protocol for heterogeneous FANETs with mobility prediction", "year": 2022, "authors": [ "Qihui Wu", "Min Zhang", "Chao Dong", "Yong Feng", "Yanli Yuan", "Simeng Feng", "Tony Q. S. Quek" ], "first_author": "Qihui Wu", "venue": "China Communications", "volume": "19", "pages": "186-201", "type": "article", "language": "en", "abstract": "In recent years, with the growth in Unmanned Aerial Vehicles (UAVs), UAV-based systems have become popular in both military and civil applications. In these scenarios, the lack of reliable communication infrastructure has motivated UAVs to establish a network as flying nodes, also known as Flying Ad Hoc Networks (FANETs). However, in FANETs, the high mobility degree of flying and terrestrial users may be responsible for constant changes in the network topology, making end-to-end connections in FANETs challenging. Mobility estimation and prediction of UAVs can address the challenge mentioned above since it can provide better routing planning and improve overall FANET performance in terms of continuous service availability. We thus develop a Software Defined Network (SDN)-based heterogeneous architecture for reliable communication in FANETs. In this architecture, we apply an Extended Kalman Filter (EKF) for accurate mobility estimation and prediction of UAVs. In particular, we formulate the routing problem in SDN-based Heterogeneous FANETs as a graph decision problem. As the problem is NP-hard, we further propose a Directional Particle Swarming Optimization (DPSO) approach to solve it. The extensive simulation results demonstrate that the proposed DPSO routing can exhibit superior performance in improving the goodput, packet delivery ratio, and delay.", "keywords": [ "Computer science", "Computer network", "Mobility model", "Goodput", "Routing protocol", "Network packet", "Wireless ad hoc network", "Distributed computing", "Wireless", "Throughput", "Telecommunications" ], "cited_by_openalex": 50, "cited_by_scopus": "61", "eid": "2-s2.0-85124119529", "pii": null, "open_access_url": "https://doi.org/10.23919/jcc.2022.01.014", "sources": [ { "db": "openalex", "stream": "UAV", "query_id": "UAV-2" }, { "db": "scopus", "stream": "UAV", "query_id": "UAV-2" } ], "streams": [ "UAV" ], "relevance_signals": [ "UAV_NO_CTX" ], "auto_exclude_reason": "EC-4-topic", "screening_status": "auto_excluded", "screened_by": "auto-v1.0.0" }, { "id": "doi:10.1109/tvt.2022.3232607", "doi": "10.1109/tvt.2022.3232607", "title": "Deep Reinforcement Learning for UAV Routing in the Presence of Multiple Charging Stations", "year": 2022, "authors": [ "Mingfeng Fan", "Yaoxin Wu", "Tianjun Liao", "Zhiguang Cao", "Hongliang Guo", "Guillaume Sartoretti", "Guohua Wu" ], "first_author": "Mingfeng Fan", "venue": "IEEE Transactions on Vehicular Technology", "volume": "72", "pages": "5732-5746", "type": "article", "language": "en", "abstract": "Deploying Unmanned Aerial Vehicles (UAVs) for traffic monitoring has been a hotspot given their flexibility and broader view. However, a UAV is usually constrained by battery capacity due to limited payload. On the other hand, the development of wireless charging technology has allowed UAVs to replenish energy from charging stations.In this paper, we study a UAV routing problem in the presence of multiple charging stations (URPMCS) with the objective of minimizing the total distance traveled by the UAV during traffic monitoring. We present a deep reinforcement learning based method, where a multi-head heterogeneous attention mechanism is designed to facilitate learning a policy that automatically and sequentially constructs the route, while taking the energy consumption into account. In our method, two types of attentions are leveraged to learn the relations between monitoring targets and charging station nodes, adopting an encoder-decoder-like policy network. Moreover, we also employ a curriculum learning strategy to enhance generalization to different numbers of charging stations. Computational results show that our method outperforms conventional algorithms with higher solution quality (except for exact methods such as Gurobi) and shorter runtime in general, and also exhibits strong generalized performance on problem instances with different distributions and sizes.", "keywords": [ "Reinforcement learning", "Computer science", "Energy consumption", "Payload (computing)", "Battery capacity", "Flexibility (engineering)", "Wireless", "Drone", "Real-time computing", "Base station", "Routing (electronic design automation)", "Airfield traffic pattern" ], "cited_by_openalex": 64, "cited_by_scopus": "60", "eid": "2-s2.0-85146225594", "pii": null, "open_access_url": "https://ink.library.smu.edu.sg/sis_research/8205", "sources": [ { "db": "openalex", "stream": "UAV", "query_id": "UAV-2" }, { "db": "scopus", "stream": "UAV", "query_id": "UAV-2" } ], "streams": [ "UAV" ], "relevance_signals": [ "UAV_NO_CTX" ], "auto_exclude_reason": "EC-4-topic", "screening_status": "auto_excluded", "screened_by": "auto-v1.0.0" }, { "id": "doi:10.1016/j.tra.2022.06.004", "doi": "10.1016/j.tra.2022.06.004", "title": "Exploring economic feasibility for airport shuttle service of urban air mobility (UAM)", "year": 2022, "authors": [ "Jong Hae Choi", "Yong‐Hwa Park" ], "first_author": "Jong Hae Choi", "venue": "Transportation Research Part A Policy and Practice", "volume": "162", "pages": "267-281", "type": "article", "language": "en", "abstract": null, "keywords": [ "Service (business)", "Cash flow", "Level of service", "Transport engineering", "Pricing strategies", "Business", "Environmental economics", "Computer science", "Finance", "Marketing", "Economics", "Engineering" ], "cited_by_openalex": 42, "cited_by_scopus": "60", "eid": "2-s2.0-85132851162", "pii": "S0965856422001574", "open_access_url": "https://doi.org/10.1016/j.tra.2022.06.004", "sources": [ { "db": "openalex", "stream": "UAV", "query_id": "UAV-3" }, { "db": "scopus", "stream": "UAV", "query_id": "UAV-3" } ], "streams": [ "UAV" ], "relevance_signals": [ "NO_TECHNOLOGY_MATCH" ], "auto_exclude_reason": "EC-4-topic", "screening_status": "auto_excluded", "screened_by": "auto-v1.0.0" }, { "id": "doi:10.1016/j.ress.2022.108457", "doi": "10.1016/j.ress.2022.108457", "title": "Optimal routes and aborting strategies of trucks and drones under random attacks", "year": 2022, "authors": [ "Rui Qi Yan", "Xiaoping Zhu", "Xiaoning Zhu", "Rui Peng" ], "first_author": "Rui Qi Yan", "venue": "Reliability Engineering & System Safety", "volume": "222", "pages": null, "type": "article", "language": "en", "abstract": null, "keywords": [ "Truck", "Drone", "Computer science", "Computer security", "Aeronautics", "Engineering", "Operations research", "Aerospace engineering" ], "cited_by_openalex": 62, "cited_by_scopus": "59", "eid": "2-s2.0-85126615679", "pii": "S0951832022001223", "open_access_url": "https://doi.org/10.1016/j.ress.2022.108457", "sources": [ { "db": "openalex", "stream": "UAV", "query_id": "UAV-2" }, { "db": "scopus", "stream": "UAV", "query_id": "UAV-2" } ], "streams": [ "UAV" ], "relevance_signals": [ "UAV_NO_CTX", "TRUCK_NO_CTX" ], "auto_exclude_reason": "EC-4-topic", "screening_status": "auto_excluded", "screened_by": "auto-v1.0.0" }, { "id": "doi:10.1016/j.cor.2022.106039", "doi": "10.1016/j.cor.2022.106039", "title": "Collaborative vehicle-drone distribution network optimization for perishable products in the epidemic situation", "year": 2022, "authors": [ "Jie Zhang", "Yanfeng Li" ], "first_author": "Jie Zhang", "venue": "Computers & Operations Research", "volume": "149", "pages": null, "type": "article", "language": "en", "abstract": null, "keywords": [ "Drone", "Computer science", "Vehicle routing problem", "Cluster analysis", "Mathematical optimization", "Genetic algorithm", "Sorting", "Tabu search", "Optimization problem", "Metaheuristic", "Perishability", "Local search (optimization)" ], "cited_by_openalex": 51, "cited_by_scopus": "59", "eid": "2-s2.0-85140390396", "pii": "S0305054822002696", "open_access_url": "https://doi.org/10.1016/j.cor.2022.106039", "sources": [ { "db": "openalex", "stream": "UAV", "query_id": "UAV-2" }, { "db": "scopus", "stream": "UAV", "query_id": "UAV-2" } ], "streams": [ "UAV" ], "relevance_signals": [ "UAV_NO_CTX" ], "auto_exclude_reason": "EC-4-topic", "screening_status": "auto_excluded", "screened_by": "auto-v1.0.0" }, { "id": "doi:10.1016/j.trc.2022.103791", "doi": "10.1016/j.trc.2022.103791", "title": "Collaborative truck-and-drone delivery for inventory-routing problems", "year": 2022, "authors": [ "Waleed Najy", "Claudia Archetti", "Ali H. Diabat" ], "first_author": "Waleed Najy", "venue": "Transportation Research Part C Emerging Technologies", "volume": "146", "pages": null, "type": "article", "language": "en", "abstract": null, "keywords": [ "Drone", "Truck", "Travelling salesman problem", "Vehicle routing problem", "Computer science", "Supply chain", "Operations research", "Toll", "Routing (electronic design automation)", "Profit (economics)", "Last mile (transportation)", "Heuristic" ], "cited_by_openalex": 50, "cited_by_scopus": "58", "eid": "2-s2.0-85137098032", "pii": "S0968090X22002182", "open_access_url": "https://doi.org/10.1016/j.trc.2022.103791", "sources": [ { "db": "openalex", "stream": "UAV", "query_id": "UAV-2" }, { "db": "scopus", "stream": "UAV", "query_id": "UAV-2" } ], "streams": [ "UAV" ], "relevance_signals": [ "UAV", "TRUCK" ], "auto_exclude_reason": null, "screening_status": "pending_human_screening", "screened_by": "auto-v1.0.0" }, { "id": "doi:10.1080/23311975.2022.2074340", "doi": "10.1080/23311975.2022.2074340", "title": "Will customers adopt last-mile drone delivery services? An analysis of drone delivery in the emerging market economy", "year": 2022, "authors": [ "Charlie Chen", "Steve M. Leon", "Peter Ractham" ], "first_author": "Charlie Chen", "venue": "Cogent Business & Management", "volume": "9", "pages": null, "type": "article", "language": "en", "abstract": "Drone delivery services are novelty concepts to most people in emerging market economies. To gain competitive advantages, retailers in emerging market need to be proactive in understanding the key factors contributing to the acceptance of last-mile drone delivery services by general users. This study offers personal and social perspectives of the adoption of drone delivery services by Thai users. A total of 391 respondents participated in an online survey. The PLS-SEM method was used to perform the data analysis. The analysis results show that personal innovativeness and opinion passions are antecedents for Thai users’ perceived ease of use. However, these two antecedents do not affect Thai users’ perceived usefulness for drone delivery services. In addition, perceived privacy risk has a negative moderating effect on the relationship between PEOU and the adoption of drone delivery services. In contrast, Thai users’ perceived privacy risk has no significant moderating effect on the relationship between PU and the intention to adopt drone delivery services. Lastly, PEOU has a significant positive effect on the intention of users to adopt drone delivery services, whereas PU does not have any significant effect. These findings provide theoretical and practical implications on the moderating effect of perceived privacy risks on the relationships between perceptions and the intention to adopt the last-mile drone delivery service.", "keywords": [ "Drone", "Business", "Marketing", "Risk perception", "Last mile (transportation)", "Service (business)", "Emerging markets", "Advertising", "Internet privacy", "Perception", "Psychology", "Mile" ], "cited_by_openalex": 67, "cited_by_scopus": "57", "eid": "2-s2.0-85130579659", "pii": null, "open_access_url": "https://www.tandfonline.com/doi/pdf/10.1080/23311975.2022.2074340?needAccess=true", "sources": [ { "db": "openalex", "stream": "UAV", "query_id": "UAV-1" }, { "db": "scopus", "stream": "UAV", "query_id": "UAV-1" } ], "streams": [ "UAV" ], "relevance_signals": [ "UAV" ], "auto_exclude_reason": null, "screening_status": "pending_human_screening", "screened_by": "auto-v1.0.0" }, { "id": "doi:10.1016/j.ejor.2022.05.046", "doi": "10.1016/j.ejor.2022.05.046", "title": "Robust drone selective routing in humanitarian transportation network assessment", "year": 2022, "authors": [ "Guowei Zhang", "Ning Jia", "Ning Yan Zhu", "Yossiri Adulyasak", "Shoufeng Ma" ], "first_author": "Guowei Zhang", "venue": "European Journal of Operational Research", "volume": "305", "pages": "400-428", "type": "article", "language": "en", "abstract": null, "keywords": [ "Drone", "Vehicle routing problem", "Computer science", "Routing (electronic design automation)", "Operations research", "Business", "Computer network", "Computer security", "Aeronautics", "Engineering" ], "cited_by_openalex": 65, "cited_by_scopus": "57", "eid": "2-s2.0-85131823921", "pii": "S0377221722004489", "open_access_url": "https://doi.org/10.1016/j.ejor.2022.05.046", "sources": [ { "db": "openalex", "stream": "UAV", "query_id": "UAV-2" }, { "db": "scopus", "stream": "UAV", "query_id": "UAV-2" } ], "streams": [ "UAV" ], "relevance_signals": [ "UAV_NO_CTX" ], "auto_exclude_reason": "EC-4-topic", "screening_status": "auto_excluded", "screened_by": "auto-v1.0.0" }, { "id": "doi:10.1016/j.ijdrr.2022.102859", "doi": "10.1016/j.ijdrr.2022.102859", "title": "Coordinated routing system for fire detection by patrolling trucks with drones", "year": 2022, "authors": [ "Maryam Momeni", "Hamed Soleimani", "Shahrooz Shahparvari", "Behrouz Afshar-Nadjafi" ], "first_author": "Maryam Momeni", "venue": "International Journal of Disaster Risk Reduction", "volume": "73", "pages": null, "type": "article", "language": "en", "abstract": null, "keywords": [ "Drone", "Patrolling", "Truck", "Routing (electronic design automation)", "Vehicle routing problem", "Computer science", "Integer programming", "Transport engineering", "Operations research", "Constraint (computer-aided design)", "Process (computing)", "Engineering" ], "cited_by_openalex": 53, "cited_by_scopus": "56", "eid": "2-s2.0-85126614843", "pii": "S2212420922000784", "open_access_url": "https://doi.org/10.1016/j.ijdrr.2022.102859", "sources": [ { "db": "openalex", "stream": "UAV", "query_id": "UAV-2" }, { "db": "scopus", "stream": "UAV", "query_id": "UAV-2" } ], "streams": [ "UAV" ], "relevance_signals": [ "UAV_NO_CTX", "TRUCK_NO_CTX" ], "auto_exclude_reason": "EC-4-topic", "screening_status": "auto_excluded", "screened_by": "auto-v1.0.0" }, { "id": "doi:10.1177/03611981221103596", "doi": "10.1177/03611981221103596", "title": "Last-Mile Strategies for Urban Freight Delivery: A Systematic Review", "year": 2022, "authors": [ "Torrey Lyons", "Noreen McDonald" ], "first_author": "Torrey Lyons", "venue": "Transportation Research Record Journal of the Transportation Research Board", "volume": "2677", "pages": "1141-1156", "type": "review", "language": "en", "abstract": "Trends in retail and e-commerce have led to greater demand for urban freight and last-mile deliveries. This is a concern for urban planners, parcel carriers, and citizens as they struggle to cope with the demands that increased freight flows create in an urban context. This topic has also seen a corresponding expansion in the academic literature as researchers propose solutions to the problem of last-mile delivery. We conduct a systematic review of the literature to identify innovative last-mile delivery strategies as well as ways that those strategies are evaluated by researchers. This study will help academics as they consider directing future research as well as practitioners as they assess how delivery patterns may shift. We identify 22 last-mile delivery strategies and group them into four categories: innovative vehicles, urban goods consolidation, technological and routing advances in city logistics, and emerging planning tools and policies. We find that urban consolidation centers, freight bicycles, and collaborative logistics are the strategies that have received the most attention to date. Analyses of these options has focused on operational, environmental, social, and economic impacts with operational efficiency, emissions, and congestion being the three evaluation criteria discussed most in the literature. We propose that safety has not been adequately considered as a means for evaluating last-mile delivery strategies and should be a higher-priority focus for urban freight research going forward.", "keywords": [ "Last mile (transportation)", "City logistics", "Transport engineering", "Context (archaeology)", "Traffic congestion", "Business", "Consolidation (business)", "Mile", "Paratransit", "Traffic management", "Urban planning", "Environmental planning" ], "cited_by_openalex": 56, "cited_by_scopus": "53", "eid": "2-s2.0-85140821517", "pii": null, "open_access_url": "https://doi.org/10.1177/03611981221103596", "sources": [ { "db": "openalex", "stream": "TRUCK", "query_id": "TRUCK-2" }, { "db": "scopus", "stream": "TRUCK", "query_id": "TRUCK-2" } ], "streams": [ "TRUCK" ], "relevance_signals": [ "NO_TECHNOLOGY_MATCH" ], "auto_exclude_reason": "EC-4-topic", "screening_status": "auto_excluded", "screened_by": "auto-v1.0.0" }, { "id": "doi:10.1016/j.tre.2022.102967", "doi": "10.1016/j.tre.2022.102967", "title": "Robust traveling salesman problem with multiple drones: Parcel delivery under uncertain navigation environments", "year": 2022, "authors": [ "Lei Zhao", "Xinhua Bi", "Gendao Li", "Zhaohui Dong", "Ni Xiao", "Anni Zhao" ], "first_author": "Lei Zhao", "venue": "Transportation Research Part E Logistics and Transportation Review", "volume": "168", "pages": null, "type": "article", "language": "en", "abstract": null, "keywords": [ "Travelling salesman problem", "Drone", "Computer science", "Traveling purchaser problem", "2-opt", "Operations research", "Simulation", "Engineering", "Biology" ], "cited_by_openalex": 54, "cited_by_scopus": "53", "eid": "2-s2.0-85142487650", "pii": "S1366554522003441", "open_access_url": "https://doi.org/10.1016/j.tre.2022.102967", "sources": [ { "db": "openalex", "stream": "UAV", "query_id": "UAV-1" }, { "db": "scopus", "stream": "UAV", "query_id": "UAV-1" } ], "streams": [ "UAV" ], "relevance_signals": [ "UAV" ], "auto_exclude_reason": null, "screening_status": "pending_human_screening", "screened_by": "auto-v1.0.0" }, { "id": "doi:10.1109/jiot.2022.3151791", "doi": "10.1109/jiot.2022.3151791", "title": "Multidepot Drone Path Planning With Collision Avoidance", "year": 2022, "authors": [ "Shen K." ], "first_author": "Shen K.", "venue": "IEEE Internet of Things Journal", "volume": "9", "pages": "16297-16307", "type": "Article", "language": null, "abstract": null, "keywords": [], "cited_by_openalex": 0, "cited_by_scopus": "53", "eid": "2-s2.0-85124831442", "pii": null, "open_access_url": null, "sources": [ { "db": "scopus", "stream": "UAV", "query_id": "UAV-2" } ], "streams": [ "UAV" ], "relevance_signals": [ "UAV_NO_CTX" ], "auto_exclude_reason": "EC-4-topic", "screening_status": "auto_excluded", "screened_by": "auto-v1.0.0" }, { "id": "doi:10.1109/access.2022.3141216", "doi": "10.1109/access.2022.3141216", "title": "A Realistic Model to Support Rescue Operations after an Earthquake via UAVs", "year": 2022, "authors": [ "Calamoneri T." ], "first_author": "Calamoneri T.", "venue": "IEEE Access", "volume": "10", "pages": "6109-6125", "type": "Article", "language": null, "abstract": null, "keywords": [], "cited_by_openalex": 0, "cited_by_scopus": "53", "eid": "2-s2.0-85122878916", "pii": null, "open_access_url": null, "sources": [ { "db": "scopus", "stream": "UAV", "query_id": "UAV-2" } ], "streams": [ "UAV" ], "relevance_signals": [ "UAV_NO_CTX" ], "auto_exclude_reason": "EC-4-topic", "screening_status": "auto_excluded", "screened_by": "auto-v1.0.0" }, { "id": "doi:10.1016/j.trc.2022.103915", "doi": "10.1016/j.trc.2022.103915", "title": "Assessing the impacts of last mile delivery strategies on delivery vehicles and traffic network performance", "year": 2022, "authors": [ "Juan E. Muriel", "Lele Zhang", "Jan C. Fransoo", "Roberto Pérez-Franco" ], "first_author": "Juan E. Muriel", "venue": "Transportation Research Part C Emerging Technologies", "volume": "144", "pages": null, "type": "article", "language": "en", "abstract": null, "keywords": [ "Mile", "Last mile (transportation)", "Transport engineering", "Food delivery", "Delivery system", "Computer science", "Engineering", "Business", "Geography" ], "cited_by_openalex": 55, "cited_by_scopus": "52", "eid": "2-s2.0-85140136086", "pii": "S0968090X2200328X", "open_access_url": "https://research.tilburguniversity.edu/en/publications/2285ee7b-0482-4f8e-849b-1c32a0c472d4", "sources": [ { "db": "openalex", "stream": "TRUCK", "query_id": "TRUCK-2" }, { "db": "scopus", "stream": "TRUCK", "query_id": "TRUCK-1" }, { "db": "scopus", "stream": "TRUCK", "query_id": "TRUCK-3" } ], "streams": [ "TRUCK" ], "relevance_signals": [ "NO_TECHNOLOGY_MATCH" ], "auto_exclude_reason": "EC-4-topic", "screening_status": "auto_excluded", "screened_by": "auto-v1.0.0" }, { "id": "doi:10.1109/tvt.2022.3221538", "doi": "10.1109/tvt.2022.3221538", "title": "$Q$-Learning Aided Intelligent Routing With Maximum Utility in Cognitive UAV Swarm for Emergency Communications", "year": 2022, "authors": [ "Long Zhang", "Xiaozheng Ma", "Zirui Zhuang", "Haitao Xu", "Vishal Sharma", "Zhu Han" ], "first_author": "Long Zhang", "venue": "IEEE Transactions on Vehicular Technology", "volume": "72", "pages": "3707-3723", "type": "article", "language": "en", "abstract": "This article studies the routing problem in a cognitive unmanned aerial vehicle (UAV) swarm (CU-SWARM), which employs the cognitive radio into a swarm of UAVs within a three-layer hierarchical aerial-ground integrated network architecture for emergency communications. In particular, the flexibly converged architecture utilizes a UAV swarm and a high-altitude platform to support aerial sensing and access, respectively, over the disaster-affected areas. We develop a$Q$-learning framework to achieve the intelligent routing to maximize the utility for CU-SWARM. To characterize the reward function, we take into account both the routing metric design and the candidate UAV selection optimization. The routing metric jointly captures the achievable rate and the residual energy of UAV. Besides, under the location, arc, and direction constraints, the circular sector is modeled by properly choosing the central angle and the acceptable signal-to-noise ratio for UAV to optimize the candidate UAV selection. With this setup, we further propose a low-complexity iterative algorithm using the dynamic learning rate to update$Q$-values during the training process for achieving a fast convergence speed. Simulation results are provided to assess the potential of the$Q$-learning framework of intelligent routing as well as to verify our overall iterative algorithm via the dynamic learning rate for training procedure. Our findings reveal that the proposed algorithm converges in a few number of iterations. Furthermore, the proposed algorithm can increase the accumulated rewards, and achieve significant performance gains, as compared to the benchmark schemes.", "keywords": [ "Swarm behaviour", "Routing (electronic design automation)", "Metric (unit)", "Computer science", "Swarm intelligence", "Algorithm", "Artificial intelligence", "Engineering", "Particle swarm optimization", "Embedded system" ], "cited_by_openalex": 50, "cited_by_scopus": "52", "eid": "2-s2.0-85141605123", "pii": null, "open_access_url": "https://pureadmin.qub.ac.uk/ws/files/385368968/q_2.pdf", "sources": [ { "db": "openalex", "stream": "UAV", "query_id": "UAV-2" }, { "db": "scopus", "stream": "UAV", "query_id": "UAV-2" } ], "streams": [ "UAV" ], "relevance_signals": [ "UAV_NO_CTX" ], "auto_exclude_reason": "EC-4-topic", "screening_status": "auto_excluded", "screened_by": "auto-v1.0.0" }, { "id": "doi:10.1109/tits.2021.3136218", "doi": "10.1109/tits.2021.3136218", "title": "Deployment of Charging Stations for Drone Delivery Assisted by Public Transportation Vehicles", "year": 2022, "authors": [ "Huang H." ], "first_author": "Huang H.", "venue": "IEEE Transactions on Intelligent Transportation Systems", "volume": "23", "pages": "15043-15054", "type": "Article", "language": null, "abstract": null, "keywords": [], "cited_by_openalex": 0, "cited_by_scopus": "52", "eid": "2-s2.0-85122059833", "pii": null, "open_access_url": null, "sources": [ { "db": "scopus", "stream": "UAV", "query_id": "UAV-1" } ], "streams": [ "UAV" ], "relevance_signals": [ "UAV_NO_CTX" ], "auto_exclude_reason": "EC-4-topic", "screening_status": "auto_excluded", "screened_by": "auto-v1.0.0" }, { "id": "doi:10.3389/ffutr.2022.887307", "doi": "10.3389/ffutr.2022.887307", "title": "Emerging Information and Communication Technologies: the Challenges for the Dynamic Freight Management in City Logistics", "year": 2022, "authors": [ "Antonio Comi", "Francesco Russo" ], "first_author": "Antonio Comi", "venue": "Frontiers in Future Transportation", "volume": "3", "pages": null, "type": "article", "language": "en", "abstract": "Recently, the evolution of emerging information and communication technologies (e-ICTs) has opened the road for developing and implementing new integrated and dynamic city logistics solutions and subsequently for identifying new frontiers of intelligent transport systems (ITSs). The study evolves pointing out the different city logistics groups of actors and their reciprocal interactions in relation to the considered new technologies (i.e., internet of things, block chain, big data, and artificial intelligence), which allow actors to increase their utility exploiting the advancement of current intelligent transport systems. The changes in the generalized path costs supported by each stakeholder are explored, and the modifications guided by e-ICTs are analyzed. The learning process due to the update for within-day and day-to-day dynamics is detailed and formalized. In this way, the current formulation of the classical transport problem (vehicle routing and scheduling) and the new one (pushed from the growth of ecommerce, i.e., courier routing) are explored under the light of the new knowledge derived from the use of e-ICTs. Novelty of the study mainly comprises the analysis of each emerging ICT group and of the formalization, in the classical transport system models (TSM), of the new knowledge for each actor group.", "keywords": [ "Information and Communications Technology", "Computer science", "Novelty", "Knowledge management", "Big data", "Supply chain", "Supply chain management", "Smart city", "The Internet", "Relation (database)", "Process management", "Business" ], "cited_by_openalex": 48, "cited_by_scopus": "51", "eid": "2-s2.0-85136833331", "pii": null, "open_access_url": "https://www.frontiersin.org/articles/10.3389/ffutr.2022.887307/pdf", "sources": [ { "db": "openalex", "stream": "TRUCK", "query_id": "TRUCK-2" }, { "db": "scopus", "stream": "TRUCK", "query_id": "TRUCK-2" } ], "streams": [ "TRUCK" ], "relevance_signals": [ "NO_TECHNOLOGY_MATCH" ], "auto_exclude_reason": "EC-4-topic", "screening_status": "auto_excluded", "screened_by": "auto-v1.0.0" }, { "id": "doi:10.2514/6.2022-4073", "doi": "10.2514/6.2022-4073", "title": "Advanced Air Mobility Vertiport Considerations: A List and Overview", "year": 2022, "authors": [ "Nancy Mendonca", "James R. Murphy", "Michael D. Patterson", "Rex Alexander", "Gabriela Juarex", "Clint Harper" ], "first_author": "Nancy Mendonca", "venue": "AIAA AVIATION 2022 Forum", "volume": null, "pages": null, "type": "conference-paper", "language": "en", "abstract": "View Video Presentation: https://doi.org/10.2514/6.2022-4073.vid Advanced air mobility (AAM) is an emerging field in aeronautics that involves utilizing small aircraft for everyday transportation and other services, and many AAM aircraft are envisioned to take off and land at new infrastructure termed vertiports. This paper describes a variety of considerations related to AAM vertiports that need to be considered in the planning for and deployment of vertiports in practice. The factors include siting, design, regulations, safety, environmental impact, social acceptance, equity, and operational integration factors. Over 450 considerations were compiled from Subject Matter Experts (SMEs) participating in NASA’s AAM Ecosystem Working Groups (AEWGs) in October 2021. This paper consolidates these considerations and broadly disseminates the valuable knowledge of these SMEs. These considerations can be used by researchers to conduct demand and network analysis, local transportation planners to develop AAM networks for their community, and the AAM ecosystem members to identify policy, standards, and research gaps.", "keywords": [ "Software deployment", "Variety (cybernetics)", "Subject matter", "Computer science", "Subject-matter expert", "Transport engineering", "Business", "Engineering", "Political science" ], "cited_by_openalex": 33, "cited_by_scopus": "51", "eid": "2-s2.0-85135209571", "pii": null, "open_access_url": "https://doi.org/10.2514/6.2022-4073", "sources": [ { "db": "openalex", "stream": "UAV", "query_id": "UAV-3" }, { "db": "scopus", "stream": "UAV", "query_id": "UAV-3" } ], "streams": [ "UAV" ], "relevance_signals": [ "UAV_NO_CTX" ], "auto_exclude_reason": "EC-4-topic", "screening_status": "auto_excluded", "screened_by": "auto-v1.0.0" }, { "id": "doi:10.1016/j.trc.2022.103645", "doi": "10.1016/j.trc.2022.103645", "title": "Nested vehicle routing problem: Optimizing drone-truck surveillance operations", "year": 2022, "authors": [ "Fanruiqi Zeng", "Zaiwei Chen", "John-Paul Clarke", "David M. Goldsman" ], "first_author": "Fanruiqi Zeng", "venue": "Transportation Research Part C Emerging Technologies", "volume": "139", "pages": null, "type": "article", "language": "en", "abstract": null, "keywords": [ "Drone", "Computer science", "Heuristic", "Rendezvous", "Routing (electronic design automation)", "Vehicle routing problem", "Integer programming", "Mathematical optimization", "Truck", "Linear programming", "Linearization", "Mathematics" ], "cited_by_openalex": 52, "cited_by_scopus": "50", "eid": "2-s2.0-85127892380", "pii": "S0968090X22000882", "open_access_url": "https://doi.org/10.1016/j.trc.2022.103645", "sources": [ { "db": "openalex", "stream": "UAV", "query_id": "UAV-2" }, { "db": "scopus", "stream": "UAV", "query_id": "UAV-2" } ], "streams": [ "UAV" ], "relevance_signals": [ "UAV_NO_CTX", "TRUCK_NO_CTX" ], "auto_exclude_reason": "EC-4-topic", "screening_status": "auto_excluded", "screened_by": "auto-v1.0.0" }, { "id": "doi:10.1016/j.cor.2022.106119", "doi": "10.1016/j.cor.2022.106119", "title": "Robust optimization for the electric vehicle pickup and delivery problem with time windows and uncertain demands", "year": 2022, "authors": [ "Xiaochang Liu", "Dujuan Wang", "Yunqiang Yin", "T.C.E. Cheng" ], "first_author": "Xiaochang Liu", "venue": "Computers & Operations Research", "volume": "151", "pages": null, "type": "article", "language": "en", "abstract": null, "keywords": [ "Computer science", "Column generation", "Mathematical optimization", "Vehicle routing problem", "Solver", "Robust optimization", "Stochastic programming", "Operations research", "Routing (electronic design automation)", "Engineering", "Mathematics" ], "cited_by_openalex": 48, "cited_by_scopus": "49", "eid": "2-s2.0-85143878197", "pii": "S0305054822003495", "open_access_url": "https://doi.org/10.1016/j.cor.2022.106119", "sources": [ { "db": "openalex", "stream": "TRUCK", "query_id": "TRUCK-2" }, { "db": "scopus", "stream": "TRUCK", "query_id": "TRUCK-2" } ], "streams": [ "TRUCK" ], "relevance_signals": [ "NO_TECHNOLOGY_MATCH" ], "auto_exclude_reason": "EC-4-topic", "screening_status": "auto_excluded", "screened_by": "auto-v1.0.0" }, { "id": "doi:10.1016/j.apm.2022.02.024", "doi": "10.1016/j.apm.2022.02.024", "title": "Simultaneous cooperation of Refrigerated Ground Vehicle (RGV) and Unmanned Aerial Vehicle (UAV) for rapid delivery with perishable food", "year": 2022, "authors": [ "Seung Yeob Lee", "So Rim Han", "Byung Duk Song" ], "first_author": "Seung Yeob Lee", "venue": "Applied Mathematical Modelling", "volume": "106", "pages": "844-866", "type": "article", "language": "en", "abstract": null, "keywords": [ "Integer programming", "Food delivery", "Computer science", "Linear programming", "Transport engineering", "Operations research", "Engineering", "Algorithm", "Business" ], "cited_by_openalex": 36, "cited_by_scopus": "49", "eid": "2-s2.0-85126083111", "pii": "S0307904X22000774", "open_access_url": "https://doi.org/10.1016/j.apm.2022.02.024", "sources": [ { "db": "openalex", "stream": "UAV", "query_id": "UAV-1" }, { "db": "scopus", "stream": "UAV", "query_id": "UAV-1" } ], "streams": [ "UAV" ], "relevance_signals": [ "UAV_NO_CTX" ], "auto_exclude_reason": "EC-4-topic", "screening_status": "auto_excluded", "screened_by": "auto-v1.0.0" }, { "id": "doi:10.1016/j.commtr.2022.100080", "doi": "10.1016/j.commtr.2022.100080", "title": "Replacing urban trucks via ground–air cooperation", "year": 2022, "authors": [ "Xiaobo Qu", "Ziling Zeng", "Kai Wang", "Shuaian Wang" ], "first_author": "Xiaobo Qu", "venue": "Communications in Transportation Research", "volume": "2", "pages": null, "type": "article", "language": "en", "abstract": "The advent of drones is leading to a paradigm shift in courier services, while their large-scale deployment is confined by a limited range. Here, we design a low-cost product that allows drones to drop parcels onto and pick them up from the roofs of moving passenger vehicles. With this, we propose a ground-air cooperation (GAC) based business model for parcel delivery in an urban environment. As per our case study using real-world data in Beijing, the new business model will not only shorten the parcel delivery time by 86.5% with a comparable cost, but also reduce road traffic by 8.6%, leading to an annual social benefit of 6.67 billion USD for Beijing. The proposed model utilizes the currently “wasted or unused” rooftops of passenger vehicles and has the potential to replace most parcel trucks and trailers, thus fundamentally addressing the congestion, noise, pollution, and road wear and tear problems caused by trucks, and bringing in immense social benefit.", "keywords": [ "Truck", "Beijing", "Software deployment", "Transport engineering", "Drone", "Business model", "Traffic congestion", "Computer science", "Environmental science", "Business", "Engineering", "Automotive engineering" ], "cited_by_openalex": 45, "cited_by_scopus": "49", "eid": "2-s2.0-85137618856", "pii": "S2772424722000300", "open_access_url": "https://www.sciencedirect.com/science/article/pii/S2772424722000300/pdf", "sources": [ { "db": "openalex", "stream": "UAV", "query_id": "UAV-1" }, { "db": "scopus", "stream": "UAV", "query_id": "UAV-1" } ], "streams": [ "UAV" ], "relevance_signals": [ "UAV", "TRUCK" ], "auto_exclude_reason": null, "screening_status": "pending_human_screening", "screened_by": "auto-v1.0.0" }, { "id": "doi:10.1016/j.cor.2022.105845", "doi": "10.1016/j.cor.2022.105845", "title": "A logic-based Benders decomposition method for the multi-trip traveling repairman problem with drones", "year": 2022, "authors": [ "Bruni M.E." ], "first_author": "Bruni M.E.", "venue": "Computers and Operations Research", "volume": "145", "pages": null, "type": "Article", "language": null, "abstract": null, "keywords": [], "cited_by_openalex": 0, "cited_by_scopus": "49", "eid": "2-s2.0-85129741162", "pii": "S0305054822001228", "open_access_url": null, "sources": [ { "db": "scopus", "stream": "UAV", "query_id": "UAV-2" } ], "streams": [ "UAV" ], "relevance_signals": [ "UAV_NO_CTX" ], "auto_exclude_reason": "EC-4-topic", "screening_status": "auto_excluded", "screened_by": "auto-v1.0.0" }, { "id": "doi:10.1016/j.ejtl.2022.100094", "doi": "10.1016/j.ejtl.2022.100094", "title": "Exact and heuristic approaches to Truck–Drone Delivery Problems", "year": 2022, "authors": [ "Júlia Cária de Freitas", "Puca Huachi Vaz Penna", "Túlio A. M. Toffolo" ], "first_author": "Júlia Cária de Freitas", "venue": "EURO Journal on Transportation and Logistics", "volume": "12", "pages": null, "type": "article", "language": "en", "abstract": "Collaborative delivery employing drones in last-mile delivery has been an extensively studied topic in recent years. In this paper, it is studied Truck–Drone Delivery Problems (TDDPs) in which a traditional delivery truck is gathered with a drone to cut delivery times and costs. The vehicles work together in a hybrid operation involving one drone launching from a larger vehicle that operates as a mobile depot and a recharging platform. The drone launches from the truck with a single package to deliver to a customer. Each drone must return to the truck to recharge batteries, pick up another package, and launch again to a new customer location. This work proposes a novel Mixed Integer Programming (MIP) formulation and a heuristic approach to address the problem. The proposed MIP formulation yields better linear relaxation bounds than previously proposed formulations for all instances, and was capable of optimally solving several unsolved instances from the literature. A hybrid heuristic based on the General Variable Neighborhood Search metaheuristic combining Tabu Search concepts is employed to obtain high-quality solutions for large-size instances. The efficiency of the algorithm was evaluated on 1415 benchmark instances from the literature, and over 80% of the best known solutions were improved.", "keywords": [ "Drone", "Truck", "Tabu search", "Benchmark (surveying)", "Computer science", "Metaheuristic", "Heuristic", "Mathematical optimization", "Integer programming", "Variable neighborhood search", "Engineering", "Operations research" ], "cited_by_openalex": 49, "cited_by_scopus": "48", "eid": "2-s2.0-85143989808", "pii": "S219243762200019X", "open_access_url": "https://www.sciencedirect.com/science/article/pii/S219243762200019X/pdf", "sources": [ { "db": "openalex", "stream": "TRUCK", "query_id": "TRUCK-1" }, { "db": "openalex", "stream": "TRUCK", "query_id": "TRUCK-3" }, { "db": "openalex", "stream": "UAV", "query_id": "UAV-1" }, { "db": "scopus", "stream": "TRUCK", "query_id": "TRUCK-1" }, { "db": "scopus", "stream": "TRUCK", "query_id": "TRUCK-3" }, { "db": "scopus", "stream": "UAV", "query_id": "UAV-1" } ], "streams": [ "TRUCK", "UAV" ], "relevance_signals": [ "UAV", "TRUCK" ], "auto_exclude_reason": null, "screening_status": "pending_human_screening", "screened_by": "auto-v1.0.0" }, { "id": "doi:10.1007/s12351-022-00695-0", "doi": "10.1007/s12351-022-00695-0", "title": "A city logistics system for freight transportation: integrating information technology and operational research", "year": 2022, "authors": [ "Sotiris P. Gayialis", "Evripidis P. Kechagias", "Grigorios D. Konstantakopoulos" ], "first_author": "Sotiris P. Gayialis", "venue": "Operational Research", "volume": "22", "pages": "5953-5982", "type": "article", "language": "en", "abstract": null, "keywords": [ "City logistics", "Traffic management", "Traffic congestion", "Computer science", "Vehicle routing problem", "Routing (electronic design automation)", "Transport engineering", "Information system", "Quality (philosophy)", "Architecture", "Information technology", "Business" ], "cited_by_openalex": 51, "cited_by_scopus": "48", "eid": "2-s2.0-85125484897", "pii": null, "open_access_url": "https://doi.org/10.1007/s12351-022-00695-0", "sources": [ { "db": "openalex", "stream": "TRUCK", "query_id": "TRUCK-2" }, { "db": "scopus", "stream": "TRUCK", "query_id": "TRUCK-2" } ], "streams": [ "TRUCK" ], "relevance_signals": [ "NO_TECHNOLOGY_MATCH" ], "auto_exclude_reason": "EC-4-topic", "screening_status": "auto_excluded", "screened_by": "auto-v1.0.0" }, { "id": "doi:10.1109/tvt.2022.3154146", "doi": "10.1109/tvt.2022.3154146", "title": "Joint Component Sizing and Energy Management for Fuel Cell Hybrid Electric Trucks", "year": 2022, "authors": [ "Qian Xun", "Nikolce Murgovski", "Yujing Liu" ], "first_author": "Qian Xun", "venue": "IEEE Transactions on Vehicular Technology", "volume": "71", "pages": "4863-4878", "type": "article", "language": "en", "abstract": "This paper proposes a cost-effective way to design and operate fuel cell hybrid electric trucks (FCHETs) where a chance-constrained optimization is formulated. The aim of the introduced problem is to minimize a summation of component cost and operational cost with consideration of fuel cell (FC) degradation and cycle life of energy buffer. We propose to decompose the problem into two sub-problems that are solved by sequential convex programming. The delivered power satisfies a cumulative distribution function of the wheel power demand, while the truck can still traverse driving cycles with a similar speed and travel time without delivering unnecessarily high power. This allows to downsize powertrain components, including electric machine, FC and energy buffer. A case study considering different energy buffer technologies, including supercapacitor (SC), lithium-ion battery (LiB), and lithium-ion capacitor (LiC) is investigated in a set of trucking applications, i.e. urban delivery, regional delivery, construction, and long-haul. Results show that the power rating of the electric machine is drastically reduced when the delivered power is satisfied in a probabilistic sense. Moreover, the configuration with LiB as the energy buffer has the lowest expense but the truck with LiC can carry more payload.", "keywords": [ "Powertrain", "Automotive engineering", "Truck", "Energy management", "Engineering", "Sizing", "Driving cycle", "Battery (electricity)", "Supercapacitor", "Battery pack", "Electric vehicle", "Power (physics)" ], "cited_by_openalex": 45, "cited_by_scopus": "47", "eid": "2-s2.0-85125340284", "pii": null, "open_access_url": "https://ieeexplore.ieee.org/ielx7/25/9779385/09721083.pdf", "sources": [ { "db": "openalex", "stream": "TRUCK", "query_id": "TRUCK-3" }, { "db": "scopus", "stream": "TRUCK", "query_id": "TRUCK-3" } ], "streams": [ "TRUCK" ], "relevance_signals": [ "TRUCK" ], "auto_exclude_reason": null, "screening_status": "pending_human_screening", "screened_by": "auto-v1.0.0" }, { "id": "doi:10.1287/trsc.2022.1146", "doi": "10.1287/trsc.2022.1146", "title": "A Branch and Price Algorithm for the Heterogeneous Fleet Multi-Depot Multi-Trip Vehicle Routing Problem with Time Windows", "year": 2022, "authors": [ "Munise Kübra Şahin", "Hande Yaman" ], "first_author": "Munise Kübra Şahin", "venue": "Transportation Science", "volume": "56", "pages": "1636-1657", "type": "article", "language": "en", "abstract": "The multi-trip vehicle routing problem (MTVRP) extends the well-known VRP by allowing vehicles to perform several trips in a workday. The motivation arises from the new challenges in city logistics that push companies to use smaller and cleaner vehicles such as cargo bikes. With the integration of small vehicles into the fleet, many companies start to operate with a heterogeneous fleet and use multiple depots located in the city centers to reload the small vehicles. Inspired by these new challenges the companies face, we study the heterogeneous fleet multi-depot MTVRP with time windows under shared depot resources where small and large vehicles have different travel times in certain areas. We formulate this problem using workday variables and propose a branch and price algorithm that exhibits an enhanced performance by a new heuristic algorithm based on the reduction in the graph size. The proposed algorithm introduces a new way to compute the completion bounds using the iterative structure of the state-space augmenting algorithm and eliminates the need for solving a separate relaxation. We conduct experiments on modified small- and medium-size instances from Solomon’s benchmark set. The results of our computational experiments show that the proposed algorithm is very effective and can solve instances with up to 40 customers, three depots, and two types of vehicles.", "keywords": [ "Vehicle routing problem", "Computer science", "Benchmark (surveying)", "Heuristic", "Mathematical optimization", "TRIPS architecture", "Fleet management", "Set (abstract data type)", "Routing (electronic design automation)", "Operations research", "Algorithm", "Engineering" ], "cited_by_openalex": 41, "cited_by_scopus": "46", "eid": "2-s2.0-85134712183", "pii": null, "open_access_url": "https://lirias.kuleuven.be/retrieve/3b319603-efc7-44cf-b363-876b901cdef6", "sources": [ { "db": "openalex", "stream": "TRUCK", "query_id": "TRUCK-2" }, { "db": "scopus", "stream": "TRUCK", "query_id": "TRUCK-2" } ], "streams": [ "TRUCK" ], "relevance_signals": [ "NO_TECHNOLOGY_MATCH" ], "auto_exclude_reason": "EC-4-topic", "screening_status": "auto_excluded", "screened_by": "auto-v1.0.0" }, { "id": "doi:10.1016/j.rtbm.2021.100774", "doi": "10.1016/j.rtbm.2021.100774", "title": "Autonomous e-commerce delivery in ordinary and exceptional circumstances. The French case", "year": 2022, "authors": [ "Buldeo Rai H." ], "first_author": "Buldeo Rai H.", "venue": "Research in Transportation Business and Management", "volume": "45", "pages": null, "type": "Article", "language": null, "abstract": null, "keywords": [], "cited_by_openalex": 0, "cited_by_scopus": "46", "eid": "2-s2.0-85122269013", "pii": "S2210539521001577", "open_access_url": null, "sources": [ { "db": "scopus", "stream": "UAV", "query_id": "UAV-1" } ], "streams": [ "UAV" ], "relevance_signals": [ "NO_TECHNOLOGY_MATCH" ], "auto_exclude_reason": "EC-4-topic", "screening_status": "auto_excluded", "screened_by": "auto-v1.0.0" }, { "id": "doi:10.3390/s22052045", "doi": "10.3390/s22052045", "title": "Vehicle-Assisted UAV Delivery Scheme Considering Energy Consumption for Instant Delivery", "year": 2022, "authors": [ "Deng X." ], "first_author": "Deng X.", "venue": "Sensors", "volume": "22", "pages": null, "type": "Article", "language": null, "abstract": null, "keywords": [], "cited_by_openalex": 0, "cited_by_scopus": "46", "eid": "2-s2.0-85125910817", "pii": null, "open_access_url": null, "sources": [ { "db": "scopus", "stream": "UAV", "query_id": "UAV-2" } ], "streams": [ "UAV" ], "relevance_signals": [ "UAV_NO_CTX" ], "auto_exclude_reason": "EC-4-topic", "screening_status": "auto_excluded", "screened_by": "auto-v1.0.0" }, { "id": "doi:10.1109/tase.2022.3213254", "doi": "10.1109/tase.2022.3213254", "title": "Drone Stations-Aided Beyond-Battery-Lifetime Flight Planning for Parcel Delivery", "year": 2022, "authors": [ "Chao Huang", "Zhenxing Ming", "Hailong Huang" ], "first_author": "Chao Huang", "venue": "IEEE Transactions on Automation Science and Engineering", "volume": "20", "pages": "2294-2304", "type": "article", "language": "en", "abstract": "This paper considers using drones to conduct the last-mile parcel delivery. To enable the beyond-battery-lifetime flight, drone stations are considered to replace or recharge the battery for drones. We focus on the flight planning problem with the goal of minimizing the total travel time from the depot to a customer, a key indicator of the quality of service. We investigate four typical ways for the drone to get extra energy at drone stations: 1) replacing the battery with a fresh one, 2) recharging the battery to the full capacity, 3) recharging the battery to the optimal level, and 4) recharging the battery to the optimal level accounting for the availability of drone stations (i.e., whether a drone station is occupied by other drones). While the first two scenarios can be formulated following the framework of integer linear programming, the last two scenarios turn into mixed-integer nonlinear programming problems. To address the later problems, we present a framework in which discretized state graphs are constructed first and then the optimal paths are found by graph searching algorithms. We propose a dynamic version of Dijkstra’s algorithm to deal with the unavailability issue of drone stations. The algorithm can quickly find the optimal flight path for a drone, and extensive computer-based experimental results have been presented to demonstrate the effectiveness of the proposed method. Note to Practitioners—Multi-rotary unmanned aerial vehicles (UAVs), also known as drones, have been regarded as a promising means to reshape future logistics. To save human labour and reduce cost, many giant logistics companies have been dedicated to developing various drones to deliver light and small parcels during the past decade. However, due to the limitation of payload, the battery capacity is constrained, which prevents drones from long-distance flights. Practitioners have tried the drone-vehicle collaboration method, but this still requires human labour to participate. In this paper, we present a framework where drones autonomously conduct long-distance delivery with the assistance of drone stations. It is worth pointing out that such a framework is not to replace the ground delivery method but to serve as an alternative to the ground counterpart for small and light parcels. A particular focus is on the flight planning from the depot to a destination, which includes not only a sequence of drone stations to stop at but also the corresponding rest time to recharge the battery. Several typical scenarios about battery recharging are discussed, and a dynamic version of Dijkstra’s algorithm is presented to deal with the challenging case where drone station resources are limited. The presented approach is able to find out the optimal flight plan quickly.", "keywords": [ "Drone", "Unavailability", "Computer science", "Battery (electricity)", "Real-time computing", "Integer programming", "Operations research", "Engineering", "Reliability engineering", "Algorithm" ], "cited_by_openalex": 48, "cited_by_scopus": "45", "eid": "2-s2.0-85140797415", "pii": null, "open_access_url": "http://ira.lib.polyu.edu.hk/bitstream/10397/98854/1/Huang_Drone_Flight_Planning.pdf", "sources": [ { "db": "openalex", "stream": "UAV", "query_id": "UAV-1" }, { "db": "scopus", "stream": "UAV", "query_id": "UAV-1" } ], "streams": [ "UAV" ], "relevance_signals": [ "UAV" ], "auto_exclude_reason": null, "screening_status": "pending_human_screening", "screened_by": "auto-v1.0.0" }, { "id": "doi:10.1002/nav.22053", "doi": "10.1002/nav.22053", "title": "Truck and drone routing problem with synchronization on arcs", "year": 2022, "authors": [ "Hongqi Li", "Jun Chen", "Feilong Wang", "Yibin Zhao" ], "first_author": "Hongqi Li", "venue": "Naval Research Logistics (NRL)", "volume": "69", "pages": "884-901", "type": "article", "language": "en", "abstract": "Abstract Truck–drone technology that enables drones to launch from or land on a moving truck without the need for the truck to stop is the focus of this study. We define the truck and drone routing problem with synchronization on arcs (TDRP‐SA). The TDRP‐SA is characterized by synchronization on arcs, time windows, classified customers, direct delivery, multiple trucks, and multiple drones carried by each truck. The TDRP‐SA involves synchronization on arcs to permit trucks to dispatch and retrieve drones at suitable moving‐LRLs (drone launch/retrieval locations) on arcs of truck routes. A moving‐LRL is essentially a drone launch/retrieval location with a moving truck, and the drone launch/retrieval operations do not need special parking for the trucks. We develop a mixed integer nonlinear programming model to address the TDRP‐SA. We propose a mathematical analysis method to locate moving‐LRLs and to estimate the drone's arrival time at the customers. We develop boundary models through introducing linear piecewise functions to locate moving‐LRLs. We provide an adaptive large neighborhood search (ALNS) heuristic. Through computational experiments, the effectiveness of the boundary models, the TDRP‐SA model and ALNS‐based heuristic are evaluated.", "keywords": [ "Drone", "Truck", "Computer science", "Heuristic", "Routing (electronic design automation)", "Synchronization (alternating current)", "Real-time computing", "Operations research", "Artificial intelligence", "Engineering", "Computer network", "Automotive engineering" ], "cited_by_openalex": 43, "cited_by_scopus": "45", "eid": "2-s2.0-85125244130", "pii": null, "open_access_url": "https://doi.org/10.1002/nav.22053", "sources": [ { "db": "openalex", "stream": "UAV", "query_id": "UAV-2" }, { "db": "scopus", "stream": "UAV", "query_id": "UAV-2" } ], "streams": [ "UAV" ], "relevance_signals": [ "UAV_NO_CTX", "TRUCK_NO_CTX" ], "auto_exclude_reason": "EC-4-topic", "screening_status": "auto_excluded", "screened_by": "auto-v1.0.0" }, { "id": "doi:10.1109/tem.2022.3202485", "doi": "10.1109/tem.2022.3202485", "title": "Why Do People Resist Drone Food Delivery Services? An Innovation Resistance Theory Perspective", "year": 2022, "authors": [ "Ashraf A. Khalil", "Amit Shankar", "Rahul Bodhi", "Abhishek Behl", "Alberto Ferraris" ], "first_author": "Ashraf A. Khalil", "venue": "IEEE Transactions on Engineering Management", "volume": "71", "pages": "13038-13048", "type": "article", "language": "en", "abstract": "Recently, the food service delivery industry started using drones for delivering food. The drone food delivery services are not only beneficial for marketers but also provide several benefits to the consumers. Despite several advantages for different stakeholders, the adoption of drone-based delivery is not encouraging. Thus, it is crucial to know why consumers show resistance behavior toward drone-based food delivery services. Toward that end, this study examines the effects of different functional and psychological barriers on consumers’ resistance to drone-based food delivery services through the lens of innovation resistance theory. A moderated-mediation framework has been proposed using anticipated negative emotions as a mediator and consumers’ innovativeness as a moderator. The hypotheses are examined by analyzing the 355 samples collected from online food delivery service users. The results suggest that usage, risk, image, and experience barriers are significantly associated with resistance. The study's findings enrich emerging drone-based delivery services and online food delivery literature. The study's findings furthermore offer practical knowledge to help online food delivery service providers implement strategies to reduce consumers' resistance to the drone food delivery system.", "keywords": [ "Resist", "Drone", "Perspective (graphical)", "Resistance (ecology)", "Business", "Marketing", "Engineering", "Nanotechnology", "Computer science", "Materials science" ], "cited_by_openalex": 63, "cited_by_scopus": "44", "eid": "2-s2.0-85139442062", "pii": null, "open_access_url": "https://doi.org/10.1109/tem.2022.3202485", "sources": [ { "db": "openalex", "stream": "UAV", "query_id": "UAV-3" }, { "db": "scopus", "stream": "UAV", "query_id": "UAV-3" } ], "streams": [ "UAV" ], "relevance_signals": [ "UAV_NO_CTX" ], "auto_exclude_reason": "EC-4-topic", "screening_status": "auto_excluded", "screened_by": "auto-v1.0.0" }, { "id": "doi:10.1016/j.ast.2021.107144", "doi": "10.1016/j.ast.2021.107144", "title": "An exemplary definition of a vertidrome's airside concept of operations", "year": 2022, "authors": [ "Schweiger K." ], "first_author": "Schweiger K.", "venue": "Aerospace Science and Technology", "volume": "125", "pages": null, "type": "Article", "language": null, "abstract": null, "keywords": [], "cited_by_openalex": 0, "cited_by_scopus": "44", "eid": "2-s2.0-85116921830", "pii": "S1270963821006544", "open_access_url": null, "sources": [ { "db": "scopus", "stream": "UAV", "query_id": "UAV-3" } ], "streams": [ "UAV" ], "relevance_signals": [ "NO_TECHNOLOGY_MATCH" ], "auto_exclude_reason": "EC-4-topic", "screening_status": "auto_excluded", "screened_by": "auto-v1.0.0" }, { "id": "doi:10.3390/electronics11071071", "doi": "10.3390/electronics11071071", "title": "Vertiport Operations Modeling, Agent-Based Simulation and Parameter Value Specification", "year": 2022, "authors": [ "Lukas Preis", "Mirko Hornung" ], "first_author": "Lukas Preis", "venue": "Electronics", "volume": "11", "pages": null, "type": "article", "language": "en", "abstract": "Urban air mobility (UAM) is the idea of creating a future mobility market through the introduction of a new mode of aerial transport with substantial travel time advantages. A key factor diminishing travel time savings is vertiport processes. So far, vertiport throughput capacity has only been studied in a static manner using analytical methods, which has been found to be insufficient. This paper wants to increase the level of understanding of operational dynamics on vertiport airfields by being the first to apply agent-based simulation. For this purpose, an existing vertiport model consisting of pads, gates and stands was refined through two means. First, a sensitivity study with over 100 simulations was executed shedding light on the driving processes on a vertiport airfield. Second, an expert interview series with 17 participants was conducted, letting the experts evaluate the model and specify relevant parameter values. Three main results should find mention here: (1) Pad operations were identified to be most impactful on passenger delays. (2) Pad and gate processes have a threshold capacity beyond which delays increase exponentially. (3) A refined vertiport model is presented, including the 27 most relevant parameters and their value specification. In conclusion, this paper finds that optimized vertiport airfield design is crucial to UAM operations, and dynamic passenger and vehicle interactions cannot be neglected.", "keywords": [ "Key (lock)", "Computer science", "Sensitivity (control systems)", "Mode (computer interface)", "Simulation", "Value (mathematics)", "Throughput", "Operations research", "Industrial engineering", "Engineering", "Computer security", "Telecommunications" ], "cited_by_openalex": 38, "cited_by_scopus": "43", "eid": "2-s2.0-85130063882", "pii": null, "open_access_url": "https://www.mdpi.com/2079-9292/11/7/1071/pdf?version=1648603970", "sources": [ { "db": "openalex", "stream": "UAV", "query_id": "UAV-3" }, { "db": "scopus", "stream": "UAV", "query_id": "UAV-3" } ], "streams": [ "UAV" ], "relevance_signals": [ "UAV_NO_CTX" ], "auto_exclude_reason": "EC-4-topic", "screening_status": "auto_excluded", "screened_by": "auto-v1.0.0" }, { "id": "doi:10.16381/j.cnki.issn1003-207x.2020.0755", "doi": "10.16381/j.cnki.issn1003-207x.2020.0755", "title": "Research on Vehicle Routing Problem with Truck and Drone Considering Regional Restriction", "year": 2022, "authors": [ "Yan R." ], "first_author": "Yan R.", "venue": "Chinese Journal of Management Science", "volume": "30", "pages": "144-155", "type": "Article", "language": null, "abstract": null, "keywords": [], "cited_by_openalex": 0, "cited_by_scopus": "43", "eid": "2-s2.0-105048772345", "pii": null, "open_access_url": null, "sources": [ { "db": "scopus", "stream": "UAV", "query_id": "UAV-2" } ], "streams": [ "UAV" ], "relevance_signals": [ "UAV_NO_CTX", "TRUCK_NO_CTX" ], "auto_exclude_reason": "EC-4-topic", "screening_status": "auto_excluded", "screened_by": "auto-v1.0.0" }, { "id": "doi:10.1016/j.cie.2022.108645", "doi": "10.1016/j.cie.2022.108645", "title": "An effective and robust genetic algorithm for urban freight transport scheduling using passenger rail network", "year": 2022, "authors": [ "Abderrahim Sahli", "Walid Behiri", "Sana Belmokhtar-Berraf", "Chengbin Chu" ], "first_author": "Abderrahim Sahli", "venue": "Computers & Industrial Engineering", "volume": "173", "pages": null, "type": "article", "language": "en", "abstract": null, "keywords": [ "Digraph", "Mathematical optimization", "Genetic algorithm", "Robustness (evolution)", "Scheduling (production processes)", "Computer science", "Truck", "Operations research", "Engineering", "Mathematics" ], "cited_by_openalex": 41, "cited_by_scopus": "41", "eid": "2-s2.0-85138362862", "pii": "S0360835222006337", "open_access_url": "https://doi.org/10.1016/j.cie.2022.108645", "sources": [ { "db": "openalex", "stream": "TRUCK", "query_id": "TRUCK-1" }, { "db": "scopus", "stream": "TRUCK", "query_id": "TRUCK-1" } ], "streams": [ "TRUCK" ], "relevance_signals": [ "TRUCK" ], "auto_exclude_reason": null, "screening_status": "pending_human_screening", "screened_by": "auto-v1.0.0" }, { "id": "doi:10.3390/app12010529", "doi": "10.3390/app12010529", "title": "Optimal Route Planning for Truck–Drone Delivery Using Variable Neighborhood Tabu Search Algorithm", "year": 2022, "authors": [ "Bao Tong", "Jianwei Wang", "Xue Wang", "Feihao Zhou", "Xinhua Mao", "Wenlong Zheng" ], "first_author": "Bao Tong", "venue": "Applied Sciences", "volume": null, "pages": null, "type": "article", "language": "en", "abstract": "The optimal delivery route problem for truck–drone delivery is defined as a traveling salesman problem with drone (TSP-D), which has been studied in a wide range of previous literature. However, most of the existing studies ignore truck waiting time at rendezvous points. To fill this gap, this paper builds a mixed integer nonlinear programming model subject to time constraints and route constraints, aiming to minimize the total delivery time. Since the TSP-D is non-deterministic polynomial-time hard (NP-hard), the proposed model is solved by the variable neighborhood tabu search algorithm, where the neighborhood structure is changed by point exchange and link exchange to expand the tabu search range. A delivery network with 1 warehouse and 23 customer points are employed as a case study to verify the effectiveness of the model and algorithm. The 23 customer points are visited by three truck–drones. The results indicate that truck–drone delivery can effectively reduce the total delivery time by 20.1% compared with traditional pure-truck delivery. Sensitivity analysis of different parameters shows that increasing the number of truck–drones can effectively save the total delivery time, but gradually reduce the marginal benefits. Only increasing either the truck speed or drone speed can reduce the total delivery time, but not to the greatest extent. Bilateral increase of truck speed and drone speed can minimize the delivery time. It can clearly be seen that the proposed method can effectively optimize the truck–drone delivery route and improve the delivery efficiency.", "keywords": [ "Drone", "Truck", "Travelling salesman problem", "Tabu search", "Computer science", "Mathematical optimization", "Engineering", "Algorithm", "Mathematics", "Automotive engineering" ], "cited_by_openalex": 41, "cited_by_scopus": 0, "eid": null, "pii": null, "open_access_url": "https://www.mdpi.com/2076-3417/12/1/529/pdf?version=1641392384", "sources": [ { "db": "openalex", "stream": "UAV", "query_id": "UAV-2" } ], "streams": [ "UAV" ], "relevance_signals": [ "UAV_NO_CTX", "TRUCK_NO_CTX" ], "auto_exclude_reason": "EC-4-topic", "screening_status": "auto_excluded", "screened_by": "auto-v1.0.0" }, { "id": "doi:10.1287/trsc.2021.1101", "doi": "10.1287/trsc.2021.1101", "title": "Vehicle Routing with Stochastic Supply of Crowd Vehicles and Time Windows", "year": 2022, "authors": [ "Torres F." ], "first_author": "Torres F.", "venue": "Transportation Science", "volume": "56", "pages": "631-653", "type": "Article", "language": null, "abstract": null, "keywords": [], "cited_by_openalex": 0, "cited_by_scopus": "41", "eid": "2-s2.0-85133457196", "pii": null, "open_access_url": null, "sources": [ { "db": "scopus", "stream": "TRUCK", "query_id": "TRUCK-2" } ], "streams": [ "TRUCK" ], "relevance_signals": [ "NO_TECHNOLOGY_MATCH" ], "auto_exclude_reason": "EC-4-topic", "screening_status": "auto_excluded", "screened_by": "auto-v1.0.0" }, { "id": "doi:10.1016/j.dajour.2022.100113", "doi": "10.1016/j.dajour.2022.100113", "title": "The applications of multiple route optimization heuristics and meta-heuristic algorithms to solid waste transportation: A case study in Turkey", "year": 2022, "authors": [ "Ufuk Dereci", "Muhammed Erkan Karabekmez" ], "first_author": "Ufuk Dereci", "venue": "Decision Analytics Journal", "volume": "4", "pages": null, "type": "article", "language": "en", "abstract": "The dense population and high solid waste production make it challenging to determine the optimal routes for garbage collection trucks in metropolitan cities. Moreover, incorrectly planned routes cause waste of fuel, time, and other resources in the municipal garbage collection process. Vehicle Routing Problem (VRP) is a combinatorial optimization problem that aims to find optimal routes for a certain number of vehicles that start from a depot, visit all customers, and return to the depot. This study aims to find the optimal routes that satisfy all the needs by considering the waste collection process of the Istanbul Umraniye district. Data on the currently used routes, daily tonnages, number of truck trips, and the number and locations of containers in the Umraniye district were obtained from the Umraniye municipality. We solve the route optimization problem of the Umraniye municipality with multiple heuristics and meta-heuristic algorithms like the nearest neighbor, savings, Christofides, simulated annealing, greedy descent, guided local search, and Tabu Search algorithms. We show the examined heuristics and meta-heuristics can produce fast and feasible solutions to large-size real-life problems.", "keywords": [ "Vehicle routing problem", "Heuristics", "Tabu search", "Computer science", "Truck", "Simulated annealing", "Local search (optimization)", "Metaheuristic", "Garbage collection", "Population", "Mathematical optimization", "Garbage" ], "cited_by_openalex": 44, "cited_by_scopus": "40", "eid": "2-s2.0-85137298173", "pii": "S2772662222000480", "open_access_url": "https://www.sciencedirect.com/science/article/pii/S2772662222000480/pdf", "sources": [ { "db": "openalex", "stream": "TRUCK", "query_id": "TRUCK-3" }, { "db": "scopus", "stream": "TRUCK", "query_id": "TRUCK-3" } ], "streams": [ "TRUCK" ], "relevance_signals": [ "TRUCK_NO_CTX" ], "auto_exclude_reason": "EC-4-topic", "screening_status": "auto_excluded", "screened_by": "auto-v1.0.0" }, { "id": "doi:10.3390/drones6110321", "doi": "10.3390/drones6110321", "title": "Unmanned Aerial Vehicle Adaptation to Facilitate Healthcare Supply Chains in Low-Income Countries", "year": 2022, "authors": [ "Kalani Gunaratne", "Amila Thibbotuwawa", "Alex Elkjær Vasegaard", "Peter Nielsen", "H. Niles Perera" ], "first_author": "Kalani Gunaratne", "venue": "Drones", "volume": "6", "pages": null, "type": "article", "language": "en", "abstract": "Low-income countries are persistently suffering from last-mile logistics issues in healthcare supply chains. Therefore, it is high time to explore technological applications to overcome such inadequacies. The faster speed, low maintenance cost, and absence of road dependency in unmanned aerial vehicles (UAV) have popularized them as an alternative to road delivery. Hence, it is suggested as a solution to overcome the persisting distribution inefficiencies in healthcare logistics of low-income countries. According to the case study analysis conducted on the Sri Lankan vaccine cold chain, incorporating UAVs increases truck-space utilization and reduces the time consumed, cost incurred, and carbon dioxide emission in a delivery round. Moreover, the most suitable way to cover the initial setup cost of an unmanned aerial system (UAS) is by receiving aid from international donors. The capital cost also can be covered by government investments or via service outsourcing only if the number of flights per year is increased. Moreover, a homogenous (i.e., only UAV) solution was revealed to be more beneficial than a heterogeneous (i.e., truck and UAV) solution. However, due to the lack of technology literacy and willingness to change in low-income countries, it is recommended to initially execute a heterogeneous solution and expand to a homogeneous plan in the future years. However, it was evident that for a mixed-fleet solution to be advantageous, drone characteristics play a vital role. Hence, a UAV with specifications ideal for the use case must be utilized to garner the maximum benefits. Nevertheless, it was apparent that with the right implementation plan, UAVs possess the potential to overcome the shortcomings in the healthcare logistics of low-income countries.", "keywords": [ "Business", "Truck", "Supply chain", "Drone", "Environmental economics", "Operations management", "Economics", "Engineering", "Marketing" ], "cited_by_openalex": 39, "cited_by_scopus": "40", "eid": "2-s2.0-85141726050", "pii": null, "open_access_url": "https://www.mdpi.com/2504-446X/6/11/321/pdf?version=1667817450", "sources": [ { "db": "openalex", "stream": "UAV", "query_id": "UAV-1" }, { "db": "scopus", "stream": "UAV", "query_id": "UAV-1" }, { "db": "scopus", "stream": "UAV", "query_id": "UAV-2" } ], "streams": [ "UAV" ], "relevance_signals": [ "UAV", "TRUCK" ], "auto_exclude_reason": null, "screening_status": "pending_human_screening", "screened_by": "auto-v1.0.0" }, { "id": "doi:10.3390/app12126077", "doi": "10.3390/app12126077", "title": "Design Criteria and Accommodating Capacity Analysis of Vertiports for Urban Air Mobility and Its Application at Gimpo Airport in Korea", "year": 2022, "authors": [ "Byeongseon Ahn", "Ho-Yon Hwang" ], "first_author": "Byeongseon Ahn", "venue": "Applied Sciences", "volume": "12", "pages": null, "type": "article", "language": "en", "abstract": "This study establishes design criteria for touchdown and liftoff (TLOF) pads, final approach and takeoff (FATO), safety areas, gates, and taxiways, which are components necessary for the operation of vertiports for urban air mobility (UAM), and analyzed vertiport capacity compliant with the arrangement of the components in a limited space. We used new vertiport design regulations from the Federal Aviation Administration (FAA) and European Union Aviation Safety Agency (EASA) for the vertiport design criteria. Vertiport components were sized based on Hyundai Motor’s S-A1 aircraft, and the layouts were classified as linear, satellite, and pier according to the arrangement of the TLOF pad and gate. The characteristics of each layout were analyzed for the same area. Based on these layouts, the parking space of Gimpo Airport that will be used for operating airport shuttles in the Seoul metropolitan area was measured and each layout was arranged to validate the characteristics of the layouts. Using the MATLAB program, we selected the most efficient layout among linear, satellite, and pier layouts, and estimated the TLOF pad and gate utilization rate. In addition, we evaluated the capacity of the two-story vertiport proposed by the Korea Airports Corporation for efficient use of space.", "keywords": [ "Aviation", "Metropolitan area", "Takeoff", "Transport engineering", "Runway", "Engineering", "Computer science", "Automotive engineering", "Aerospace engineering", "Geography" ], "cited_by_openalex": 35, "cited_by_scopus": "40", "eid": "2-s2.0-85132771784", "pii": null, "open_access_url": "https://www.mdpi.com/2076-3417/12/12/6077/pdf?version=1655344787", "sources": [ { "db": "openalex", "stream": "UAV", "query_id": "UAV-3" }, { "db": "scopus", "stream": "UAV", "query_id": "UAV-3" } ], "streams": [ "UAV" ], "relevance_signals": [ "UAV_NO_CTX" ], "auto_exclude_reason": "EC-4-topic", "screening_status": "auto_excluded", "screened_by": "auto-v1.0.0" }, { "id": "doi:10.1016/j.trd.2022.103258", "doi": "10.1016/j.trd.2022.103258", "title": "Life cycle greenhouse gas emissions of alternative fuels and powertrains for medium-duty trucks: A Singapore case study", "year": 2022, "authors": [ "Lih Wei Yeow", "Yuting Yan", "Lynette W. Cheah" ], "first_author": "Lih Wei Yeow", "venue": "Transportation Research Part D Transport and Environment", "volume": "105", "pages": null, "type": "article", "language": "en", "abstract": "Alternatives to conventional diesel engines in medium/heavy-duty commercial trucks offer promising solutions to decarbonize road freight. We compare the life cycle greenhouse gas (GHG) emissions from diesel, battery electric (BEV) and hydrogen fuel cell (FCV) medium-duty urban delivery trucks (gross vehicle weight 3.5 – 7 metric tonnes) in Singapore, including the vehicle and fuel production, use phase and end-of-life stages. Use phase energy demand was estimated by simulating energy consumption on local real-world driving cycles. BEVs powered by the 2019 electricity mix had up to 11% lower GHG emissions than conventional diesel, but doubling battery capacity to meet travel range requirements resulted in up to 12% higher emissions. FCVs using gaseous hydrogen via steam methane reforming achieved 23 – 30% GHG reductions while satisfying range requirements. Efforts in obtaining updated and reliable data on vehicle production remain critical for assessments of emerging technologies and enacting evidence-based policies to decarbonize road freight.", "keywords": [ "Truck", "Diesel fuel", "Powertrain", "Greenhouse gas", "Environmental science", "Life-cycle assessment", "Waste management", "Automotive engineering", "Engineering", "Production (economics)" ], "cited_by_openalex": 37, "cited_by_scopus": "39", "eid": "2-s2.0-85126845183", "pii": "S1361920922000888", "open_access_url": "https://www.sciencedirect.com/science/article/pii/S1361920922000888/pdf", "sources": [ { "db": "openalex", "stream": "TRUCK", "query_id": "TRUCK-3" }, { "db": "scopus", "stream": "TRUCK", "query_id": "TRUCK-3" } ], "streams": [ "TRUCK" ], "relevance_signals": [ "TRUCK" ], "auto_exclude_reason": null, "screening_status": "pending_human_screening", "screened_by": "auto-v1.0.0" }, { "id": "doi:10.1007/s00291-022-00680-1", "doi": "10.1007/s00291-022-00680-1", "title": "The traveling salesman problem with drone resupply", "year": 2022, "authors": [ "Michael Dienstknecht", "Nils Boysen", "Dirk Briskorn" ], "first_author": "Michael Dienstknecht", "venue": "OR Spectrum", "volume": "44", "pages": "1045-1086", "type": "article", "language": "en", "abstract": null, "keywords": [ "Travelling salesman problem", "Drone", "Truck", "Context (archaeology)", "Computer science", "Operations research", "Schedule", "Traveling purchaser problem", "Aeronautics", "2-opt", "Engineering", "Automotive engineering" ], "cited_by_openalex": 42, "cited_by_scopus": "39", "eid": "2-s2.0-85129793503", "pii": null, "open_access_url": "https://doi.org/10.1007/s00291-022-00680-1", "sources": [ { "db": "openalex", "stream": "TRUCK", "query_id": "TRUCK-3" }, { "db": "openalex", "stream": "UAV", "query_id": "UAV-1" }, { "db": "scopus", "stream": "TRUCK", "query_id": "TRUCK-3" }, { "db": "scopus", "stream": "UAV", "query_id": "UAV-1" } ], "streams": [ "TRUCK", "UAV" ], "relevance_signals": [ "UAV_NO_CTX", "TRUCK_NO_CTX" ], "auto_exclude_reason": "EC-4-topic", "screening_status": "auto_excluded", "screened_by": "auto-v1.0.0" }, { "id": "doi:10.3934/jimo.2021225", "doi": "10.3934/jimo.2021225", "title": "An adaptive large neighborhood search heuristic for multi-commodity two-echelon vehicle routing problem with satellite synchronization", "year": 2022, "authors": [ "Shengyang Jia", "Lei Deng", "Quanwu Zhao", "Yunkai Chen" ], "first_author": "Shengyang Jia", "venue": "Journal of Industrial and Management Optimization", "volume": "19", "pages": "1187-1210", "type": "article", "language": "en", "abstract": "In considering route optimization from multiple distribution centers called depots via some intermediate facilities called satellites to final customers with multiple commodities request, we introduce the Multi-Commodity Two-Echelon Vehicle Routing Problem with Satellite Synchronization (MC-2E-VRPSS). The MC-2E-VRPSS involves the transportation from multiple depots to satellites on the first echelon and the deliveries from satellites to final customers on the second echelon. The MC-2E-VRPSS integrates satellite synchronization constraints and time window constraints for satellites on the two-echelon network and aims to determine cost-minimizing routes for the two echelons. The satellite synchronization constraints which trucks from the multiple depots to some satellites need to be coordinated guarantee the efficiency of the second echelon network. In this study, we develop a mixed-integer programming model for the MC-2E-VRPSS. For validating the model formulation, we conduct the computational experiments on a set of small-scale instances using GUROBI and an adaptive large neighborhood search (ALNS) heuristic which we develop for the problem. Furthermore, the computation experiments for evaluating the applicability of the ALNS heuristic compared with large neighborhood search (LNS) on a set of large-scale instances are also conducted, which proved the effectiveness of the ALNS. Addendum: The Acknowledgement “This study was supported by the Humanities and Social Sciences Foundation Program of the Ministry of Education (Project No.19YJA630122), and the \"National Key R&D Program of China\"(Grant No.2020YFB1712900)” is added. We apologize for any inconvenience this may cause.", "keywords": [ "Computer science", "Heuristic", "Synchronization (alternating current)", "Routing (electronic design automation)", "Set (abstract data type)", "Scale (ratio)", "Vehicle routing problem", "Operations research", "Mathematical optimization", "Computer network", "Mathematics", "Artificial intelligence" ], "cited_by_openalex": 36, "cited_by_scopus": "38", "eid": "2-s2.0-85126376092", "pii": null, "open_access_url": "https://doi.org/10.3934/jimo.2021225", "sources": [ { "db": "openalex", "stream": "TRUCK", "query_id": "TRUCK-3" }, { "db": "scopus", "stream": "TRUCK", "query_id": "TRUCK-3" } ], "streams": [ "TRUCK" ], "relevance_signals": [ "TRUCK_NO_CTX" ], "auto_exclude_reason": "EC-4-topic", "screening_status": "auto_excluded", "screened_by": "auto-v1.0.0" }, { "id": "doi:10.1016/j.ijpe.2022.108632", "doi": "10.1016/j.ijpe.2022.108632", "title": "Physical Internet-enabled E-grocery delivery Network:A load-dependent two-echelon vehicle routing problem with mixed vehicles", "year": 2022, "authors": [ "Liu D." ], "first_author": "Liu D.", "venue": "International Journal of Production Economics", "volume": "254", "pages": null, "type": "Article", "language": null, "abstract": null, "keywords": [], "cited_by_openalex": 0, "cited_by_scopus": "38", "eid": "2-s2.0-85139211666", "pii": "S0925527322002146", "open_access_url": null, "sources": [ { "db": "scopus", "stream": "TRUCK", "query_id": "TRUCK-1" }, { "db": "scopus", "stream": "TRUCK", "query_id": "TRUCK-3" } ], "streams": [ "TRUCK" ], "relevance_signals": [ "NO_TECHNOLOGY_MATCH" ], "auto_exclude_reason": "EC-4-topic", "screening_status": "auto_excluded", "screened_by": "auto-v1.0.0" }, { "id": "doi:10.1016/j.tra.2022.11.003", "doi": "10.1016/j.tra.2022.11.003", "title": "Joint modeling of arrivals and parking durations for freight loading zones: Potential applications to improving urban logistics", "year": 2022, "authors": [ "Lokesh Kumar Kalahasthi", "Iván Sánchez-Díaz", "Juan Pablo Castrellon", "Jorge Gil", "Michael J. Browne", "Simon Hayes", "Carles Sentís Ros" ], "first_author": "Lokesh Kumar Kalahasthi", "venue": "Transportation Research Part A Policy and Practice", "volume": "166", "pages": "307-329", "type": "article", "language": "en", "abstract": "This paper analyzes truck parking patterns in urban freight loading zones by jointly modeling the vehicle arrival rates and the parking durations. Three models were explored: 1) Count data (Negative Binomial) for vehicle arrivals, 2) Survival (Weibull) model for parking duration and 3) A joint model for arrivals and duration. The count data model estimates the parking demand i.e., the rate of truck arrival, while the survival model estimates the probability that a truck is parked for one more minute. The joint model is compared with separate models for predictability and performance. The dataset used in this research is obtained using a mobile phone parking application, at eight loading zones in the city Vic, Spain over an 18-month period from July 2018 to December 2019, comprised of vehicle parking durations, date, time of arrival and departure, professional activity, and vehicle type (weight). The parking activity data are complemented with built in environment variables of the loading zones, such as the number of establishments in a certain radius, the average walking distance to establishments, the presence of pedestrian pavement, the number of traffic lanes, among others. The joint model outperforms the models estimating the arrival rates and durations separately in goodness of fit and predictability. The model results showed that truck arrival rates vary significantly across days of the week, months, and arrival times. The parking durations are highly dependent on professional activity, vehicle type, and size. Tuesdays and Wednesdays have higher arrival rates compared to other days of a week (except Sundays). Among activities, the transport and parcels require longer parking durations. Among the vehicle types, trucks with gross weight larger than 3.5 tons park longer. This paper concludes by explaining the potential of these modeling approaches in improving urban freight operations, evaluation of various policy implications, limitations, and future research.", "keywords": [ "Truck", "Weibull distribution", "Goodness of fit", "Negative binomial distribution", "Duration (music)", "Transport engineering", "Predictability", "Joint (building)", "Computer science", "Statistics", "Poisson distribution", "Engineering" ], "cited_by_openalex": 28, "cited_by_scopus": "37", "eid": "2-s2.0-85141751787", "pii": "S0965856422002865", "open_access_url": "https://www.sciencedirect.com/science/article/pii/S0965856422002865/pdf", "sources": [ { "db": "openalex", "stream": "TRUCK", "query_id": "TRUCK-1" }, { "db": "scopus", "stream": "TRUCK", "query_id": "TRUCK-1" } ], "streams": [ "TRUCK" ], "relevance_signals": [ "TRUCK" ], "auto_exclude_reason": null, "screening_status": "pending_human_screening", "screened_by": "auto-v1.0.0" }, { "id": "doi:10.1016/j.swevo.2022.101201", "doi": "10.1016/j.swevo.2022.101201", "title": "Real-time collaborative feeder vehicle routing problem with flexible time windows", "year": 2022, "authors": [ "M. Salehi Sarbijan", "Javad Behnamian" ], "first_author": "M. Salehi Sarbijan", "venue": "Swarm and Evolutionary Computation", "volume": "75", "pages": null, "type": "article", "language": "en", "abstract": null, "keywords": [ "Computer science", "Vehicle routing problem", "Real-time computing", "Routing (electronic design automation)", "Embedded system" ], "cited_by_openalex": 28, "cited_by_scopus": "37", "eid": "2-s2.0-85140795888", "pii": "S2210650222001675", "open_access_url": "https://doi.org/10.1016/j.swevo.2022.101201", "sources": [ { "db": "openalex", "stream": "TRUCK", "query_id": "TRUCK-1" }, { "db": "openalex", "stream": "TRUCK", "query_id": "TRUCK-3" }, { "db": "scopus", "stream": "TRUCK", "query_id": "TRUCK-1" }, { "db": "scopus", "stream": "TRUCK", "query_id": "TRUCK-3" } ], "streams": [ "TRUCK" ], "relevance_signals": [ "NO_TECHNOLOGY_MATCH" ], "auto_exclude_reason": "EC-4-topic", "screening_status": "auto_excluded", "screened_by": "auto-v1.0.0" }, { "id": "doi:10.1109/tits.2022.3197424", "doi": "10.1109/tits.2022.3197424", "title": "Heterogeneous Fleets for Green Vehicle Routing Problem With Traffic Restrictions", "year": 2022, "authors": [ "Heng Wang", "Menghan Li", "Zhenyu Wang", "Wei Li", "Tianjiao Hou", "Xianyi Yang", "Zhenzhen Zhao", "Zhenfeng Wang", "Tong He Sun" ], "first_author": "Heng Wang", "venue": "IEEE Transactions on Intelligent Transportation Systems", "volume": "24", "pages": "8667-8676", "type": "article", "language": "en", "abstract": "Suffering from environmental distress like carbon emissions, traffic restrictions have been enforced extensively in distribution logistics. Reasonable arrangement of urban freight transportation can effectively improve distribution efficiency, reduce distribution costs, and alleviate the impact of traffic restrictions in distribution logistics. In response to increasingly stringent traffic restrictions, we establish a multi-objective optimization model, including the minimum distributions and the minimum carbon emissions. Given that the limits of battery capacity and cargo capacity, we build a green vehicle routing problem with soft time windows (GVRPTW) model with heterogenous fleets. In this study, three different factors, that is restricted area, travel time of vehicles, and carbon tax prices, are discussed in details. In order to solve the NP-hard model, we propose an improved ant colony optimization algorithm (IACO) by optimizing the state transition probability, and verifies the worth of the algorithm. The experimental results can explore the impacts of traffic restriction policies on the formulation of distribution scheme and offer reference opinions for the government to formulate reasonable restriction policies and better guide logistics enterprises to reduce carbon emissions.", "keywords": [ "Vehicle routing problem", "Carbon tax", "Order (exchange)", "Computer science", "Distribution (mathematics)", "Traffic management", "Transport engineering", "Routing (electronic design automation)", "Ant colony optimization algorithms", "Operations research", "Greenhouse gas", "Environmental economics" ], "cited_by_openalex": 36, "cited_by_scopus": "37", "eid": "2-s2.0-85136885452", "pii": null, "open_access_url": "https://doi.org/10.1109/tits.2022.3197424", "sources": [ { "db": "openalex", "stream": "TRUCK", "query_id": "TRUCK-2" }, { "db": "scopus", "stream": "TRUCK", "query_id": "TRUCK-2" } ], "streams": [ "TRUCK" ], "relevance_signals": [ "NO_TECHNOLOGY_MATCH" ], "auto_exclude_reason": "EC-4-topic", "screening_status": "auto_excluded", "screened_by": "auto-v1.0.0" }, { "id": "doi:10.1109/tem.2022.3210121", "doi": "10.1109/tem.2022.3210121", "title": "Evaluating Barriers to the Adoption of Delivery Drones in Rural Healthcare Supply Chains: Preparing the Healthcare System for the Future", "year": 2022, "authors": [ "Nitin Koshta", "Yashoda Devi", "Chetna Chauhan" ], "first_author": "Nitin Koshta", "venue": "IEEE Transactions on Engineering Management", "volume": "71", "pages": "13096-13108", "type": "article", "language": "en", "abstract": "Emerging technologies, such as delivery drones have enormous potential to revolutionize the rural healthcare supply chain (RHSC) and assist the countries in achieving sustainable development goal 3: good health and well-being. The advantages of delivery drones include faster delivery, high responsiveness, and a lack of dependence on road infrastructure. Given these advantages, prior literature on drone delivery has extensively explored their applicability in last-mile delivery from the e-commerce or retailer's perspective. However, their applicability in RHSC from an academic as well as practical perspective is still at a nascent stage. The present study fills this gap by examining the barriers inhibiting the adoption of delivery drones in RHSC using the Grey Decision-Making Trial and Evaluation Laboratory technique. The results suggest that “lack of government regulations” is the most critical barrier. The study findings indicate that seven barriers are causal, and six are the effect barriers. “Limited load carrying capacity,” “low flight range,” and “difficulty in flying in adverse weather conditions” are the most prominent cause barriers. Moreover, “lack of skilled manpower,” “limited accuracy of navigation system,” and “lack of leadership commitment” are the most prominent effect barriers. We also perform sensitivity analysis to prove the robustness of the study output. The study results provide an in-depth understanding to the decision-makers and policymakers to help pave the way for the successful adoption of delivery drones in RHSC.", "keywords": [ "Health care", "Business", "Supply chain", "Public healthcare", "Healthcare delivery", "Drone", "Healthcare system", "Knowledge management", "Industrial organization", "Marketing", "Computer science", "Economic growth" ], "cited_by_openalex": 50, "cited_by_scopus": "37", "eid": "2-s2.0-85139871549", "pii": null, "open_access_url": "https://doi.org/10.1109/tem.2022.3210121", "sources": [ { "db": "openalex", "stream": "UAV", "query_id": "UAV-1" }, { "db": "scopus", "stream": "UAV", "query_id": "UAV-1" } ], "streams": [ "UAV" ], "relevance_signals": [ "UAV" ], "auto_exclude_reason": null, "screening_status": "pending_human_screening", "screened_by": "auto-v1.0.0" }, { "id": "doi:10.1109/tits.2021.3128877", "doi": "10.1109/tits.2021.3128877", "title": "PassGoodPool: Joint Passengers and Goods Fleet Management with Reinforcement Learning Aided Pricing, Matching, and Route Planning", "year": 2022, "authors": [ "Manchella K." ], "first_author": "Manchella K.", "venue": "IEEE Transactions on Intelligent Transportation Systems", "volume": "23", "pages": "3866-3877", "type": "Article", "language": null, "abstract": null, "keywords": [], "cited_by_openalex": 0, "cited_by_scopus": "36", "eid": "2-s2.0-85121767169", "pii": null, "open_access_url": null, "sources": [ { "db": "scopus", "stream": "TRUCK", "query_id": "TRUCK-2" } ], "streams": [ "TRUCK" ], "relevance_signals": [ "NO_TECHNOLOGY_MATCH" ], "auto_exclude_reason": "EC-4-topic", "screening_status": "auto_excluded", "screened_by": "auto-v1.0.0" }, { "id": "doi:10.3934/mbe.2022639", "doi": "10.3934/mbe.2022639", "title": "Mathematical estimation for maximum flow of goods within a cross-dock to reduce inventory", "year": 2022, "authors": [ "Taniya Mukherjee", "Isha Sangal", "Biswajit Sarkar", "Tamer M. Alkadash" ], "first_author": "Taniya Mukherjee", "venue": "Mathematical Biosciences & Engineering", "volume": "19", "pages": "13710-13731", "type": "article", "language": "en", "abstract": "Supply chain management has recently renovated its strategy by implementing a cross-docking scheme. Cross-docking is a calculated logistics strategy where freight emptied from inbound vehicles is handled straightforwardly onto outbound vehicles, eliminating the intermediate storage process. The cross-docking approach thrives on the minimum storage time of goods in the inventory. Most of the cross-docks avail temporary storage docks where items can be stored for up to 24 hours before being packed up for transportation. The storage capacity of the cross-dock varies depending on the nature of ownership. In the rented cross-docks center, the temporary storage docks are considered of infinite capacity. This study believes that the temporary storage facilities owned by the cross-dock center are of finite capacity, which subsequently affects the waiting time of the goods. The flow rate of goods within the cross-docks is expected to be maximum to avoid long waiting for goods in the queue. This paper uses a series of max-flow algorithms, namely Ford Fulkerson, Edmond Karp, and Dinic's, to optimize the flow of goods between the inbound port and the outbound dock and present a logical explanation to reduce the waiting time of the trucks. A numerical example is analyzed to prove the efficacity of the algorithm in finding maximum flow. The result demonstrates that Dinic's algorithm performs better than the Ford Fulkerson and Edmond Karp algorithm at addressing the problem of maximum flow at the cross-dock. The algorithm effectively provided the best result regarding iteration and time complexity. In addition, it also suggested the bottleneck paths of the network in determining the maximum flow.", "keywords": [ "DOCK", "Queue", "Truck", "Computer science", "Operations research", "Maximum flow problem", "Queueing theory", "Mathematical optimization", "Mathematics", "Engineering", "Computer network", "Marine engineering" ], "cited_by_openalex": 36, "cited_by_scopus": "35", "eid": "2-s2.0-85139085137", "pii": null, "open_access_url": "http://www.aimspress.com/aimspress-data/mbe/2022/12/PDF/mbe-19-12-639.pdf", "sources": [ { "db": "openalex", "stream": "TRUCK", "query_id": "TRUCK-3" }, { "db": "scopus", "stream": "TRUCK", "query_id": "TRUCK-3" } ], "streams": [ "TRUCK" ], "relevance_signals": [ "TRUCK_NO_CTX" ], "auto_exclude_reason": "EC-4-topic", "screening_status": "auto_excluded", "screened_by": "auto-v1.0.0" }, { "id": "doi:10.1109/tits.2022.3215084", "doi": "10.1109/tits.2022.3215084", "title": "Tabu-Based Adaptive Large Neighborhood Search for Multi-Depot Petrol Station Replenishment With Open Inter-Depot Routes", "year": 2022, "authors": [ "Ada Che", "Wenjia Wang", "Xiaohu Mu", "Yipei Zhang", "Jianguang Feng" ], "first_author": "Ada Che", "venue": "IEEE Transactions on Intelligent Transportation Systems", "volume": "24", "pages": "316-330", "type": "article", "language": "en", "abstract": "The petrol station replenishment problem (PSRP) refers to the process of transporting petroleum products from oil depots to petrol stations via tank trucks. It mainly consists of two parts: allocating petroleum products to tank trucks and planning the travel route of each truck. In this study, we examine a new variant of PSRP by considering a multi-depot vehicle routing problem with open inter-depot routes (MDVRPOI). Each depot can act as an intermediate replenishment facility, and each truck can be reloaded at any depot any number of times within the working period. Moreover, trucks can end their routes at any depot instead of making a long empty drive to the start depot. The trucks are heterogeneous with multiple load-specific compartments. We formulate the problem as a mixed-integer linear programming (MILP) model. Given the problem’s complexity, a tabu-based adaptive large neighborhood search (T-ALNS) algorithm is proposed, which integrates the tabu search approach into ALNS to solve the problem effectively. The T-ALNS executes multiple problem-tailored destroy/repair operators on the station, trip, and route levels. A local search procedure with problem-specific operators and an adaptive strategy is further embedded into T-ALNS. We use the real data of an oil company in China to evaluate our algorithm. Computational results show that our T-ALNS significantly outperforms the CPLEX solver and other algorithms in terms of solution quality and computation time. Further, it realizes an average reduction in transportation cost of about 45% compared to the company’s actual strategy.", "keywords": [ "Depot", "Tabu search", "Computer science", "Transport engineering", "Engineering", "Mathematical optimization", "Geography", "Artificial intelligence", "Mathematics" ], "cited_by_openalex": 33, "cited_by_scopus": "35", "eid": "2-s2.0-85141509306", "pii": null, "open_access_url": "https://doi.org/10.1109/tits.2022.3215084", "sources": [ { "db": "openalex", "stream": "TRUCK", "query_id": "TRUCK-3" }, { "db": "scopus", "stream": "TRUCK", "query_id": "TRUCK-3" } ], "streams": [ "TRUCK" ], "relevance_signals": [ "TRUCK_NO_CTX" ], "auto_exclude_reason": "EC-4-topic", "screening_status": "auto_excluded", "screened_by": "auto-v1.0.0" }, { "id": "doi:10.3390/app122010427", "doi": "10.3390/app122010427", "title": "A Reinforcement Learning Model of Multiple UAVs for Transporting Emergency Relief Supplies", "year": 2022, "authors": [ "Daiki Hachiya", "Erick Mas", "Shunichi Koshimura" ], "first_author": "Daiki Hachiya", "venue": "Applied Sciences", "volume": "12", "pages": null, "type": "article", "language": "en", "abstract": "In large-scale disasters, such as earthquakes and tsunamis, quick and sufficient transportation of emergency relief supplies is required. Logistics activities conducted to quickly provide appropriate aid supplies (relief goods) to people affected by disasters are known as humanitarian logistics (HL), and play an important role in terms of saving the lives of those affected. In the previous last-mile distribution of HL, supplies are transported by trucks and helicopters, but these transport methods are sometimes not feasible. Therefore, the use of unmanned aerial vehicles (UAVs) to transport supplies is attracting attention due to their convenience regardless of the disaster conditions. However, existing transportation planning that utilizes UAVs may not meet some of the requirements for post-disaster transport of supplies. Equitable distribution of supplies among affected shelters is particularly important in a crisis situation, but it has not been a major consideration in the logistics of UAVs in the existing study. Therefore, this study proposes transportation planning by introducing three crucial performance metrics: (1) the rapidity of supplies, (2) the urgency of supplies, and (3) the equity of supply amounts. We formulated the routing problem of UAVs as the multi-objective, multi-trip, multi-item, and multi-UAV problem, and optimize the problem with Q-learning (QL), one of the reinforcement learning methods. We performed reinforcement learning for multiple cases with different rewards and quantitatively evaluated the transportation of each countermeasure by comparing them. The results suggest that the model improved the stability of the supply of emergency relief supplies to all evacuation centers when compared to other models.", "keywords": [ "Truck", "Transport engineering", "Countermeasure", "Reinforcement learning", "Emergency management", "Computer science", "Business", "Operations research", "Engineering" ], "cited_by_openalex": 29, "cited_by_scopus": "35", "eid": "2-s2.0-85140451506", "pii": null, "open_access_url": "https://www.mdpi.com/2076-3417/12/20/10427/pdf?version=1666353228", "sources": [ { "db": "openalex", "stream": "UAV", "query_id": "UAV-1" }, { "db": "openalex", "stream": "UAV", "query_id": "UAV-2" }, { "db": "scopus", "stream": "UAV", "query_id": "UAV-1" }, { "db": "scopus", "stream": "UAV", "query_id": "UAV-2" } ], "streams": [ "UAV" ], "relevance_signals": [ "UAV", "TRUCK" ], "auto_exclude_reason": null, "screening_status": "pending_human_screening", "screened_by": "auto-v1.0.0" }, { "id": "doi:10.1016/j.eswa.2022.117490", "doi": "10.1016/j.eswa.2022.117490", "title": "A Markov decision process approach for managing medical drone deliveries", "year": 2022, "authors": [ "Amin Asadi", "Sarah Nurre Pinkley", "Martijn Mes" ], "first_author": "Amin Asadi", "venue": "Expert Systems with Applications", "volume": "204", "pages": null, "type": "article", "language": "en", "abstract": "Drone delivery is a fast and innovative method for delivering parcels, food, and medical supplies. Furthermore, this low-contact delivery mode contributes to reducing the spread of pandemic and vaccine-preventable diseases. Focusing on the delivery of medical supplies, this paper studies optimizing the distribution operations at a drone hub that dispatches drones to hospitals located at different geographic locations. Each hospital generates stochastic demands for medical supplies to be covered. This paper classifies stochastic demands based on the distance between hospitals and the drone hub. Satisfying the demands requires flying over different ranges, which is directly related to the amount of charge of the drone batteries. We develop a stochastic scheduling and allocation problem with multiple classes of demand and model the problem using a finite Markov decision process approach. We provide exact solutions for the modest sizes instances using backward induction and discuss that the problem suffers from the curses of dimensionality. Hence, we provide a reinforcement learning method capable of giving near-optimal solutions. We perform a set of computational tests using realistic data representing a prominent drone delivery company. Finally, we analyze the results to provide insights for managing drone hub operations and show that the reinforcement learning method has high performance compared with the exact and heuristic solution methods.", "keywords": [ "Drone", "Markov decision process", "Computer science", "Reinforcement learning", "Scheduling (production processes)", "Heuristic", "Operations research", "Markov process", "Partially observable Markov decision process", "Process (computing)", "Curse of dimensionality", "Mathematical optimization" ], "cited_by_openalex": 42, "cited_by_scopus": "35", "eid": "2-s2.0-85133941030", "pii": "S0957417422008193", "open_access_url": "https://www.sciencedirect.com/science/article/pii/S0957417422008193/pdf", "sources": [ { "db": "openalex", "stream": "UAV", "query_id": "UAV-3" }, { "db": "scopus", "stream": "UAV", "query_id": "UAV-3" } ], "streams": [ "UAV" ], "relevance_signals": [ "UAV_NO_CTX" ], "auto_exclude_reason": "EC-4-topic", "screening_status": "auto_excluded", "screened_by": "auto-v1.0.0" }, { "id": "doi:10.1109/tase.2022.3184324", "doi": "10.1109/tase.2022.3184324", "title": "Urban On-Demand Delivery via Autonomous Aerial Mobility: Formulation and Exact Algorithm", "year": 2022, "authors": [ "Zhi Pei", "Tao Fang", "Kebiao Weng", "Wenchao Yi" ], "first_author": "Zhi Pei", "venue": "IEEE Transactions on Automation Science and Engineering", "volume": "20", "pages": "1675-1689", "type": "article", "language": "en", "abstract": "The implementation of the autonomous unmanned aerial mobility is a game changer for the on-demand delivery service in the crowded urban setting. In this study, the first of its kind commercial unmanned aerial vehicle (UAV) urban delivery program in China is targeted. Different from the traditional ground pickup and delivery services, the aerial mode considers not only the time window constraints, but also the spatial conflicts incurred during the take-off and landing operations of UAVs. To obtain the optimal flying routes of the focused problem, a mixed integer programming model is formulated. Due to its inherent complexity, the optimal schedule cannot be attained within acceptable time via the off-the-shelf solvers. To help speed up the solving process, a branch-and-cut based exact algorithm is proposed, together with a series of customized valid inequalities. To further accelerate, a greedy insertion heuristic is designed to secure high-quality initial solutions. In the numerical section, it is observed that the algorithm proposed in this paper can help solve the real-life on-demand UAV delivery problem to near optimum (within 5% optimality gap) within reasonable computation time (in 5 minutes).Note to Practitioners—With the increase of labor cost, the distribution cost increases very rapidly. In the meantime, the employment of automated vehicles for logistics reshapes the landscape of the urban last-mile delivery. As an efficient courier carrier, the unmanned aerial vehicle (UAV) is trending the autonomous delivery endeavour. When integrating UAVs into the urban delivery program, practitioners need to pay special attention to the scheduling of UAVs at the operational level in addition to the hardware of the UAVs. To help solve the UAV dispatch problem, we propose an online scheduling scheme, considering the spatial conflict constraints in the actual UAV operations. And an exact algorithm is designed to accelerate the solving process. Numerical experiments demonstrate that the proposed algorithm can achieve near optimal dispatch plan with 5% optimality gap in 5 minutes. Furthermore, it is discovered that the demand pooling is an essential decision to make for UAV-based delivery. Longer pooling time can increase the UAV efficiency with more realized demand information, but too much pooling could lead to prolonged customer waiting and a low service level.", "keywords": [ "Computer science", "Schedule", "Drone", "Heuristic", "Integer programming", "Mathematical optimization", "Greedy algorithm", "Real-time computing", "Algorithm", "Operations research", "Simulation", "Engineering" ], "cited_by_openalex": 40, "cited_by_scopus": "34", "eid": "2-s2.0-85133770539", "pii": null, "open_access_url": "https://doi.org/10.1109/tase.2022.3184324", "sources": [ { "db": "openalex", "stream": "TRUCK", "query_id": "TRUCK-2" }, { "db": "openalex", "stream": "UAV", "query_id": "UAV-1" }, { "db": "scopus", "stream": "TRUCK", "query_id": "TRUCK-2" }, { "db": "scopus", "stream": "UAV", "query_id": "UAV-1" }, { "db": "scopus", "stream": "UAV", "query_id": "UAV-3" } ], "streams": [ "TRUCK", "UAV" ], "relevance_signals": [ "UAV" ], "auto_exclude_reason": null, "screening_status": "pending_human_screening", "screened_by": "auto-v1.0.0" }, { "id": "doi:10.1016/j.cie.2022.108632", "doi": "10.1016/j.cie.2022.108632", "title": "On a Pickup to Delivery Drone Routing Problem: Models and algorithms", "year": 2022, "authors": [ "Javier E. Gómez-Lagos", "Benjamín Rojas-Espinoza", "Alfredo Candia-Véjar" ], "first_author": "Javier E. Gómez-Lagos", "venue": "Computers & Industrial Engineering", "volume": "172", "pages": null, "type": "article", "language": "en", "abstract": null, "keywords": [ "Drone", "Pickup", "Routing (electronic design automation)", "Vehicle routing problem", "Computer science", "Algorithm", "Mathematical optimization", "Engineering", "Distributed computing", "Mathematics", "Computer network", "Artificial intelligence" ], "cited_by_openalex": 32, "cited_by_scopus": "34", "eid": "2-s2.0-85138054158", "pii": "S0360835222006209", "open_access_url": "https://doi.org/10.1016/j.cie.2022.108632", "sources": [ { "db": "openalex", "stream": "TRUCK", "query_id": "TRUCK-3" }, { "db": "openalex", "stream": "UAV", "query_id": "UAV-2" }, { "db": "scopus", "stream": "TRUCK", "query_id": "TRUCK-3" }, { "db": "scopus", "stream": "UAV", "query_id": "UAV-2" } ], "streams": [ "TRUCK", "UAV" ], "relevance_signals": [ "UAV_NO_CTX" ], "auto_exclude_reason": "EC-4-topic", "screening_status": "auto_excluded", "screened_by": "auto-v1.0.0" }, { "id": "doi:10.1002/net.22087", "doi": "10.1002/net.22087", "title": "The multivisit drone routing problem with edge launches: An iterative approach with discrete and continuous improvements", "year": 2022, "authors": [ "Adriano Masone", "Stefan Poikonen", "Bruce Golden" ], "first_author": "Adriano Masone", "venue": "Networks", "volume": "80", "pages": "193-215", "type": "article", "language": "en", "abstract": "Abstract In recent years, the usage of drones in last‐mile logistics has stirred great interest in the operations research community. Many papers have considered schemes of hybrid truck‐and‐drone delivery. In this paper, we focus on the Multivisit Drone Routing Problem with Edge Launches (MVDRP‐EL) which assumes: a heterogenous set of packages, a drone capable of carrying multiple packages at a time and that can be launched and retrieved along an edge, a flexible launch/retrieval site set, and a user‐defined energy depletion function. We believe this paper is the first to exploit edge launch ability through a global continuous approach. In this context, we propose an original formulation based on the Covering Salesman Problem to compute a valid lower bound for the problem and an iterative solution method to determine a MVDRP‐EL solution with quality launch/retrieval sites along the road network edges. Each iteration of the solution method consists of two phases. In the first phase, the road network edges are discretized to obtain launch/retrieval sites, and a first solution is determined. In the second phase, the truck route is set and we reduce the completion time by carefully synchronizing truck and drone routes by solving an original Mixed Integer Second Order Cone Program. The lower bound formulation and the proposed method have been tested on several instances and results indicate the effectiveness of the proposed method and the potential value of launching along an edge, respectively.", "keywords": [ "Drone", "Synchronizing", "Computer science", "Context (archaeology)", "Truck", "Enhanced Data Rates for GSM Evolution", "Set (abstract data type)", "Routing (electronic design automation)", "Mathematical optimization", "Mathematics", "Computer network", "Engineering" ], "cited_by_openalex": 35, "cited_by_scopus": "34", "eid": "2-s2.0-85122185158", "pii": null, "open_access_url": "https://doi.org/10.1002/net.22087", "sources": [ { "db": "openalex", "stream": "UAV", "query_id": "UAV-1" }, { "db": "openalex", "stream": "UAV", "query_id": "UAV-2" }, { "db": "scopus", "stream": "UAV", "query_id": "UAV-1" }, { "db": "scopus", "stream": "UAV", "query_id": "UAV-2" } ], "streams": [ "UAV" ], "relevance_signals": [ "UAV_NO_CTX", "TRUCK_NO_CTX" ], "auto_exclude_reason": "EC-4-topic", "screening_status": "auto_excluded", "screened_by": "auto-v1.0.0" }, { "id": "doi:10.1016/j.eswa.2022.118479", "doi": "10.1016/j.eswa.2022.118479", "title": "Energy-constrained multi-visit TSP with multiple drones considering non-customer rendezvous locations", "year": 2022, "authors": [ "Mahmoudi B." ], "first_author": "Mahmoudi B.", "venue": "Expert Systems with Applications", "volume": "210", "pages": null, "type": "Article", "language": null, "abstract": null, "keywords": [], "cited_by_openalex": 0, "cited_by_scopus": "34", "eid": "2-s2.0-85135987811", "pii": "S0957417422015676", "open_access_url": null, "sources": [ { "db": "scopus", "stream": "UAV", "query_id": "UAV-1" } ], "streams": [ "UAV" ], "relevance_signals": [ "UAV_NO_CTX" ], "auto_exclude_reason": "EC-4-topic", "screening_status": "auto_excluded", "screened_by": "auto-v1.0.0" }, { "id": "doi:10.1016/j.cor.2022.105882", "doi": "10.1016/j.cor.2022.105882", "title": "UAV routing for reconnaissance mission: A multi-objective orienteering problem with time-dependent prizes and multiple connections", "year": 2022, "authors": [ "Dasdemir E." ], "first_author": "Dasdemir E.", "venue": "Computers and Operations Research", "volume": "145", "pages": null, "type": "Article", "language": null, "abstract": null, "keywords": [], "cited_by_openalex": 0, "cited_by_scopus": "34", "eid": "2-s2.0-85130872453", "pii": "S0305054822001526", "open_access_url": null, "sources": [ { "db": "scopus", "stream": "UAV", "query_id": "UAV-2" } ], "streams": [ "UAV" ], "relevance_signals": [ "UAV_NO_CTX" ], "auto_exclude_reason": "EC-4-topic", "screening_status": "auto_excluded", "screened_by": "auto-v1.0.0" }, { "id": "doi:10.1016/j.cstp.2022.01.012", "doi": "10.1016/j.cstp.2022.01.012", "title": "How Urban Consolidation Centres affect distribution networks: An empirical investigation from the perspective of suppliers", "year": 2022, "authors": [ "Anna J. Dreischerf", "Paul Buijs" ], "first_author": "Anna J. Dreischerf", "venue": "Case Studies on Transport Policy", "volume": "10", "pages": "518-528", "type": "article", "language": "en", "abstract": "An Urban Consolidation Centre (UCC) can decrease the number of freight vehicles and their mileage in urban areas. In practice, however, UCCs often rely on subsidies and seldom make it past their starting period. Understanding about how UCCs affect urban freight transport is mostly based on mathematical models and on the opinions of stakeholders who do not actually use a UCC. The purpose of this paper is to study empirically how the introduction of a UCC influences the logistics processes, costs, and service levels of suppliers. In a multiple case study, we collect data about the distribution networks of nine suppliers (including their receivers, carriers, and the UCC). Analyses of these data show that introducing a UCC affects the logistics processes of many actors in a distribution network, and these effects differ strongly depending on how the distribution network was structured initially. Generally, a UCC does not result in lower logistics costs for suppliers, at least not in the short-term, and often requires new service level agreements with receivers. We hope our study provides stakeholders with a balanced view on the role UCCs can play in making urban freight transport more sustainable.", "keywords": [ "City logistics", "Consolidation (business)", "Subsidy", "Business", "Transport engineering", "Distribution (mathematics)", "Traffic management", "Postal service", "Service (business)", "Marketing", "Economics", "Engineering" ], "cited_by_openalex": 31, "cited_by_scopus": "33", "eid": "2-s2.0-85123980830", "pii": "S2213624X22000128", "open_access_url": "https://www.sciencedirect.com/science/article/pii/S2213624X22000128/pdf", "sources": [ { "db": "openalex", "stream": "TRUCK", "query_id": "TRUCK-1" }, { "db": "scopus", "stream": "TRUCK", "query_id": "TRUCK-1" } ], "streams": [ "TRUCK" ], "relevance_signals": [ "TRUCK" ], "auto_exclude_reason": null, "screening_status": "pending_human_screening", "screened_by": "auto-v1.0.0" }, { "id": "doi:10.3390/drones6020050", "doi": "10.3390/drones6020050", "title": "Load and Wind Aware Routing of Delivery Drones", "year": 2022, "authors": [ "Satoshi Ito", "Keishi Akaiwa", "Yusuke Funabashi", "Hiroki Nishikawa", "Xiangbo Kong", "Ittetsu Taniguchi", "Hiroyuki Tomiyama" ], "first_author": "Satoshi Ito", "venue": "Drones", "volume": "6", "pages": null, "type": "article", "language": "en", "abstract": "Delivery drones have been attracting attention as one of the promising technologies to deliver packages. Several research studies on routing problems specifically for drone delivery scenarios have extended Vehicle Routing Problems (VRPs). Most existing VRPs are based on Traveling Salesman Problems (TSPs) for minimizing the overall distance. On the other hand, VRPs for drone delivery have been aware of energy consumption due to the consideration of battery capacity. Despite hovering motions with loading packages accounting for a large portion of energy consumption since delivery drones need to hover with several packages, little research has been conducted on drone routing problems that aim at the minimization of overall flight times. In addition, flight time is strongly influenced by windy conditions such as headwinds and tailwinds. In this paper, we propose a VRP for drone delivery in which flight time is dependent on the weight of packages in a windy environment, called Flight Speed-aware Vehicle Routing Problem with Load and Wind (FSVRPLW). In this paper, flight speed changes depending on the load and wind. Specifically, a heavier package slows down flight speeds and a lighter package speeds up flight speeds. In addition, a headwind slows down flight speeds and a tailwind speed up flight speeds. We mathematically derived the problem and developed a dynamic programming algorithm to solve the problem. In the experiments, we investigate how much impact both the weight of packages and the wind have on the flight time. The experimental results indicate that taking loads and wind into account is very effective in reducing flight times. Moreover, the results of comparing the effects of load and wind indicate that flight time largely depends on the weight of packages.", "keywords": [ "Drone", "Wind speed", "Routing (electronic design automation)", "Computer science", "Vehicle routing problem", "Travelling salesman problem", "Energy consumption", "Simulation", "Real-time computing", "Engineering", "Meteorology", "Embedded system" ], "cited_by_openalex": 31, "cited_by_scopus": "33", "eid": "2-s2.0-85125137764", "pii": null, "open_access_url": "https://www.mdpi.com/2504-446X/6/2/50/pdf?version=1646644665", "sources": [ { "db": "openalex", "stream": "UAV", "query_id": "UAV-2" }, { "db": "scopus", "stream": "UAV", "query_id": "UAV-2" } ], "streams": [ "UAV" ], "relevance_signals": [ "UAV_NO_CTX" ], "auto_exclude_reason": "EC-4-topic", "screening_status": "auto_excluded", "screened_by": "auto-v1.0.0" }, { "id": "doi:10.3390/en15103730", "doi": "10.3390/en15103730", "title": "Energy Efficient UAV Flight Control Method in an Environment with Obstacles and Gusts of Wind", "year": 2022, "authors": [ "Marcin Chodnicki", "B. Siemiątkowska", "Wojciech Stecz", "Slawomir Jan Stepien" ], "first_author": "Marcin Chodnicki", "venue": "Energies", "volume": null, "pages": null, "type": "article", "language": "en", "abstract": "This article presents an energy-efficient method of controlling unmanned aircraft (fixed-wing UAVs), which consists of three groups of algorithms: aerial vehicle route planning, in-flight control, and algorithms to correct the preplanned flight trajectory. All algorithms shall take into account the existence of obstacles that the UAV must avoid and wind gusts in the UAV’s area of operation. Tests were carried out on the basis of the UAV mathematical model, stabilization and navigation algorithms, and Dryden turbulence model, considering the parameters of the UAV’s propulsion system. The work includes a detailed description of constructing a network of connection that is used to plan a UAV mission. It presents the algorithm for determining the actual distances between the different points in the field of action, which takes into account the existence of obstacles. The algorithm shall be based on methods for determining the flight trajectory on a hexagonal grid. It presents the developed proprietary UAV path planning algorithm based on a model from a group of algorithms of mixed integer linear problem (MILP) optimization. It presents the manner in which the pre-prepared flight path was used by UAV controllers that supervised the flight along the preset path. It details the architecture of contemporary unmanned aerial vehicles, which have embedded capability to realize autonomous missions, which require the integration of UAV systems into the route planning algorithms set out in the article. Particular attention has been paid to the planning and implementation methods of UAV missions under conditions where wind gusts are present, which support the determination of UAV flight routes to minimize the vehicle’s energy consumption. The models developed were tested within a computer architecture based on ARM processors using the hardware-in-the-loop (HIL) technique, which is commonly used to control unmanned vehicles. The presented solution makes use of two computers: FCC (flight control computer) based on a real-time operating system (RTOS) and MC (mission computer) based on Linux and integrated with the Robot Operating System (ROS). A new contribution of this work is the integration of planning and monitoring methods for the implementation of missions aimed at minimizing energy consumption of the vehicle, taking into account wind conditions.", "keywords": [ "Trajectory", "Motion planning", "Flight planning", "Computer science", "Path (computing)", "Field (mathematics)", "Flight plan", "Grid", "Real-time computing", "Control engineering", "Engineering", "Aerospace engineering" ], "cited_by_openalex": 33, "cited_by_scopus": 0, "eid": null, "pii": null, "open_access_url": "https://www.mdpi.com/1996-1073/15/10/3730/pdf?version=1653020570", "sources": [ { "db": "openalex", "stream": "UAV", "query_id": "UAV-2" } ], "streams": [ "UAV" ], "relevance_signals": [ "UAV_NO_CTX" ], "auto_exclude_reason": "EC-4-topic", "screening_status": "auto_excluded", "screened_by": "auto-v1.0.0" }, { "id": "doi:10.1016/j.cstp.2022.01.010", "doi": "10.1016/j.cstp.2022.01.010", "title": "Vertiport and air taxi features valued by consumers in the United States and India", "year": 2022, "authors": [ "Stephen C. Rice", "Scott R. Winter", "Sean R. Crouse", "Keith Jonathan Ruskin" ], "first_author": "Stephen C. Rice", "venue": "Case Studies on Transport Policy", "volume": "10", "pages": "500-506", "type": "article", "language": "en", "abstract": null, "keywords": [ "Business", "Transport engineering", "Agricultural economics", "Geography", "Advertising", "Engineering", "Economics" ], "cited_by_openalex": 37, "cited_by_scopus": "33", "eid": "2-s2.0-85123844205", "pii": "S2213624X22000104", "open_access_url": "https://doi.org/10.1016/j.cstp.2022.01.010", "sources": [ { "db": "openalex", "stream": "UAV", "query_id": "UAV-3" }, { "db": "scopus", "stream": "UAV", "query_id": "UAV-3" } ], "streams": [ "UAV" ], "relevance_signals": [ "UAV_NO_CTX" ], "auto_exclude_reason": "EC-4-topic", "screening_status": "auto_excluded", "screened_by": "auto-v1.0.0" }, { "id": "doi:10.1016/j.trd.2022.103438", "doi": "10.1016/j.trd.2022.103438", "title": "Environmental impact analysis of on-demand urban air mobility: A case study of the Tampa Bay Area", "year": 2022, "authors": [ "Pengli Zhao", "Joseph A. Post", "Zhiqiang Wu", "Wenbo Du", "Yu Zhang" ], "first_author": "Pengli Zhao", "venue": "Transportation Research Part D Transport and Environment", "volume": "110", "pages": null, "type": "article", "language": "en", "abstract": null, "keywords": [ "Greenhouse gas", "Environmental science", "Pollutant", "Bay", "NOx", "Air pollution", "Air pollutants", "Environmental engineering", "Transport engineering", "Meteorology", "Engineering", "Civil engineering" ], "cited_by_openalex": 32, "cited_by_scopus": "33", "eid": "2-s2.0-85136584054", "pii": "S1361920922002644", "open_access_url": "https://doi.org/10.1016/j.trd.2022.103438", "sources": [ { "db": "openalex", "stream": "UAV", "query_id": "UAV-3" }, { "db": "scopus", "stream": "UAV", "query_id": "UAV-3" } ], "streams": [ "UAV" ], "relevance_signals": [ "NO_TECHNOLOGY_MATCH" ], "auto_exclude_reason": "EC-4-topic", "screening_status": "auto_excluded", "screened_by": "auto-v1.0.0" }, { "id": "doi:10.3390/su14053128", "doi": "10.3390/su14053128", "title": "A New Mobility Era: Stakeholders’ Insights regarding Urban Air Mobility", "year": 2022, "authors": [ "Annitsa Koumoutsidi", "Ioanna Pagoni", "Amalia Polydoropoulou" ], "first_author": "Annitsa Koumoutsidi", "venue": "Sustainability", "volume": null, "pages": null, "type": "article", "language": "en", "abstract": "Urban Air Mobility (UAM) constitutes a future aerial mobility alternative, which concerns the use of electric and autonomous aerial vehicles for transporting people throughout a planned network of vertiports. To materialize UAM, several actors of the air and urban transport ecosystem play a vital role. This paper describes the insights gathered from 32 key stakeholders around the world to present and frame the key aspects for the future implementation of UAM. The participants include representatives from the UAM industry such as airports, airlines, aviation consulting companies, academia, and authorities. The data collection encompasses various key research areas, covering topics such as UAM strengths, weaknesses, opportunities and risks, requirements for implementation, concept integration in the existing transport system, specific use cases, business models, and end-user segments. The research aims at setting up the stakeholder scene and expanding the current literature for UAM by engaging key decision makers and experts towards shaping the new mobility era. The results demonstrate that ensuring certification standards for UAM fleets and updating the current legal and regulatory framework are the main prerequisites for UAM’s realization. In addition, the usage of UAM for transporting cargo or for air ambulance services are the most mature business models for the coming decade.", "keywords": [ "Aviation", "Key (lock)", "Stakeholder engagement", "Stakeholder", "Certification", "Strengths and weaknesses", "Business", "Business model", "Air transport", "Transport engineering", "Computer science", "Marketing" ], "cited_by_openalex": 33, "cited_by_scopus": 0, "eid": null, "pii": null, "open_access_url": "https://www.mdpi.com/2071-1050/14/5/3128/pdf?version=1646818116", "sources": [ { "db": "openalex", "stream": "UAV", "query_id": "UAV-3" } ], "streams": [ "UAV" ], "relevance_signals": [ "UAV" ], "auto_exclude_reason": null, "screening_status": "pending_human_screening", "screened_by": "auto-v1.0.0" }, { "id": "doi:10.1109/access.2022.3162702", "doi": "10.1109/access.2022.3162702", "title": "Deep Reinforcement Learning for Autonomous Map-Less Navigation of a Flying Robot", "year": 2022, "authors": [ "Oualid Doukhi", "Deok Jin Lee" ], "first_author": "Oualid Doukhi", "venue": "IEEE Access", "volume": "10", "pages": "82964-82976", "type": "article", "language": "en", "abstract": "Flying robots are expected to be used in many tasks, such as aerial delivery, inspection inside dangerous areas, and rescue. However, their deployment in unstructured and highly dynamic environments has been limited. This paper proposes a novel approach for enabling a micro-aerial vehicle (MAV) system equipped with a laser rangefinder and depth sensor to autonomously navigate and explore an unknown indoor or outdoor environment. We built a modular deep-Q-network architecture to fuse information from multiple sensors mounted onboard a vehicle. The developed algorithm can perform collision-free flights in the real world, while being trained entirely on a 3D simulator. The proposed method does not require prior expert demonstrations, 3D mapping, or path planning. It transforms fused sensory data into a velocity control input for a robot through an end-to-end convolutional neural network (CNN). The obtained policy was compared to a simulation using the conventional potential-field method. Our approach achieves zero- shot transfer from simulation to real-world environments that were never experienced during training by simulating realistic sensor data. Several intensive experiments were conducted to demonstrate the effectiveness of our system for safely flying in dynamic outdoor and indoor environments. The supplementary videos for the actual flight tests can be accessed athttps://bit.ly/2SEw8dQ.", "keywords": [ "Computer science", "Robot", "Artificial intelligence", "Real-time computing", "Modular design", "Reinforcement learning", "Search and rescue", "Computer vision", "Motion planning", "Sensor fusion", "Software deployment", "Simulation" ], "cited_by_openalex": 30, "cited_by_scopus": "33", "eid": "2-s2.0-85127470109", "pii": null, "open_access_url": "https://ieeexplore.ieee.org/ielx7/6287639/9668973/09743451.pdf", "sources": [ { "db": "openalex", "stream": "UAV", "query_id": "UAV-3" }, { "db": "scopus", "stream": "UAV", "query_id": "UAV-3" } ], "streams": [ "UAV" ], "relevance_signals": [ "UAV_NO_CTX" ], "auto_exclude_reason": "EC-4-topic", "screening_status": "auto_excluded", "screened_by": "auto-v1.0.0" }, { "id": "doi:10.1177/03611981221076839", "doi": "10.1177/03611981221076839", "title": "Planning Land Use Constrained Networks of Urban Air Mobility Infrastructure in the San Francisco Bay Area", "year": 2022, "authors": [ "Pavan S. Yedavalli", "Adam P. Cohen" ], "first_author": "Pavan S. Yedavalli", "venue": "Transportation Research Record Journal of the Transportation Research Board", "volume": "2676", "pages": "106-116", "type": "article", "language": "en", "abstract": "Urban air mobility (UAM) is a concept envisioning safe, sustainable, affordable, and accessible air transportation for passenger mobility, cargo delivery, and emergency management within or traversing a metropolitan area. While the deployment of UAM will require a network of infrastructure (i.e., vertiports), this emerging concept could face a variety of barriers, such as local opposition, infrastructure costs, and multimodal integration. This paper presents a novel simulation methodology using k -medians clustering and sensitivity analysis to model potential vertiport locations in the San Francisco Bay Area. When controlling for land use characteristics (i.e., parcel size and zoning), the simulation and sensitivity analysis finds that as the number of vertiports increases, the average travel times of trips taken by UAM decrease. The analysis also identifies an inflection point of the number of vertiports at which UAM becomes competitive with driving. The analysis concludes that with respect to size, parcels of 2 acres or smaller are the only locations that allow UAM travel times to be competitive with driving. The paper concludes that neither quantitative nor qualitative factors alone will be sufficient to determine the feasibility of vertiports and overcome community concerns associated with vertiport siting. Metropolitan planning organizations, local governments, and other public agencies will likely need to augment technical analysis with robust stakeholder and community engagement throughout the planning process.", "keywords": [ "Metropolitan area", "Transport engineering", "Transportation planning", "Zoning", "Land use", "Public transport", "Regional planning", "Software deployment", "Port (circuit theory)", "Urban planning", "Environmental planning", "Business" ], "cited_by_openalex": 32, "cited_by_scopus": "32", "eid": "2-s2.0-85135582399", "pii": null, "open_access_url": "https://doi.org/10.1177/03611981221076839", "sources": [ { "db": "openalex", "stream": "UAV", "query_id": "UAV-3" }, { "db": "scopus", "stream": "UAV", "query_id": "UAV-3" } ], "streams": [ "UAV" ], "relevance_signals": [ "UAV_NO_CTX" ], "auto_exclude_reason": "EC-4-topic", "screening_status": "auto_excluded", "screened_by": "auto-v1.0.0" }, { "id": "doi:10.1016/j.ejor.2021.06.040", "doi": "10.1016/j.ejor.2021.06.040", "title": "A two-stage hybrid heuristic solution for the container drayage problem with trailer reposition", "year": 2022, "authors": [ "Cui H." ], "first_author": "Cui H.", "venue": "European Journal of Operational Research", "volume": "299", "pages": "468-482", "type": "Article", "language": null, "abstract": null, "keywords": [], "cited_by_openalex": 0, "cited_by_scopus": "32", "eid": "2-s2.0-85110540711", "pii": "S0377221721005567", "open_access_url": null, "sources": [ { "db": "scopus", "stream": "TRUCK", "query_id": "TRUCK-3" } ], "streams": [ "TRUCK" ], "relevance_signals": [ "TRUCK_NO_CTX" ], "auto_exclude_reason": "EC-4-topic", "screening_status": "auto_excluded", "screened_by": "auto-v1.0.0" }, { "id": "doi:10.1155/2022/1811288", "doi": "10.1155/2022/1811288", "title": "Discrete Optimization on Truck‐Drone Collaborative Transportation System for Delivering Medical Resources", "year": 2022, "authors": [ "Min Lin", "Yuming Chen", "Rui Han", "Yao Chen" ], "first_author": "Min Lin", "venue": "Discrete Dynamics in Nature and Society", "volume": "2022", "pages": null, "type": "article", "language": "en", "abstract": "Under the epidemic, closed management has turned a large number of communities into lonely islands, and the contactless delivery method of UAV has become the rigid demand in this special period. This paper studies a collaborative system of multi‐UAV multitruck transportation, which can deliver emergency materials such as medicine to remote areas or closed communities. In this system, delivery tasks are assigned to multiple trucks and multiple drones on each truck can perform delivery tasks in parallel, thereby improving delivery efficiency. We study the routing problem of this system specifically for medical supplying road network and establish mixed‐integer model and hybrid algorithm. We show by experiments that the number of trucks has more significant impact on the optimal solution than the number of drones and the performance of hybrid particle swarm optimization is better than the performance of the other algorithms.", "keywords": [ "Truck", "Drone", "Computer science", "Routing (electronic design automation)", "Vehicle routing problem", "Particle swarm optimization", "Swarm behaviour", "Integer (computer science)", "Transport engineering", "Operations research", "Computer network", "Artificial intelligence" ], "cited_by_openalex": 27, "cited_by_scopus": "31", "eid": "2-s2.0-85125060426", "pii": null, "open_access_url": "https://downloads.hindawi.com/journals/ddns/2022/1811288.pdf", "sources": [ { "db": "openalex", "stream": "UAV", "query_id": "UAV-2" }, { "db": "scopus", "stream": "UAV", "query_id": "UAV-2" } ], "streams": [ "UAV" ], "relevance_signals": [ "UAV_NO_CTX", "TRUCK_NO_CTX" ], "auto_exclude_reason": "EC-4-topic", "screening_status": "auto_excluded", "screened_by": "auto-v1.0.0" }, { "id": "doi:10.1016/j.adhoc.2022.102878", "doi": "10.1016/j.adhoc.2022.102878", "title": "LB-OPAR: Load balanced optimized predictive and adaptive routing for cooperative UAV networks", "year": 2022, "authors": [ "M. Gharib", "Fatemeh Afghah", "Elizabeth Serena Bentley" ], "first_author": "M. Gharib", "venue": "Ad Hoc Networks", "volume": "132", "pages": null, "type": "article", "language": "en", "abstract": null, "keywords": [ "Computer science", "Benchmark (surveying)", "Routing (electronic design automation)", "Distributed computing", "Throughput", "Flow routing", "Destination-Sequenced Distance Vector routing", "Network performance", "Adaptive routing", "Static routing", "Computer network", "Link-state routing protocol" ], "cited_by_openalex": 28, "cited_by_scopus": "31", "eid": "2-s2.0-85129713425", "pii": "S1570870522000701", "open_access_url": "https://doi.org/10.1016/j.adhoc.2022.102878", "sources": [ { "db": "openalex", "stream": "UAV", "query_id": "UAV-2" }, { "db": "scopus", "stream": "UAV", "query_id": "UAV-2" } ], "streams": [ "UAV" ], "relevance_signals": [ "UAV_NO_CTX" ], "auto_exclude_reason": "EC-4-topic", "screening_status": "auto_excluded", "screened_by": "auto-v1.0.0" }, { "id": "doi:10.1016/j.comcom.2022.04.008", "doi": "10.1016/j.comcom.2022.04.008", "title": "A closed-loop control architecture of UAV and WSN for traffic surveillance on highways", "year": 2022, "authors": [ "Bashir N." ], "first_author": "Bashir N.", "venue": "Computer Communications", "volume": "190", "pages": "78-86", "type": "Article", "language": null, "abstract": null, "keywords": [], "cited_by_openalex": 0, "cited_by_scopus": "31", "eid": "2-s2.0-85129244721", "pii": "S0140366422001128", "open_access_url": null, "sources": [ { "db": "scopus", "stream": "UAV", "query_id": "UAV-2" } ], "streams": [ "UAV" ], "relevance_signals": [ "UAV_NO_CTX" ], "auto_exclude_reason": "EC-4-topic", "screening_status": "auto_excluded", "screened_by": "auto-v1.0.0" }, { "id": "doi:10.1177/03611981221086632", "doi": "10.1177/03611981221086632", "title": "First and Last Miles by Cargo Bikes: Ecological Commitment or Economically Feasible? The Case of a Parcel Service Company in Paris", "year": 2022, "authors": [ "Antoine Robichet", "Patrick Niérat", "François Combes" ], "first_author": "Antoine Robichet", "venue": "Transportation Research Record Journal of the Transportation Research Board", "volume": "2676", "pages": "269-278", "type": "article", "language": "en", "abstract": "Urban logistics is a key step in distribution chains. It implies the use of trucks in congested areas, and generates numerous externalities (congestion, noise, pollution, etc.). Supply chain configurations and consumer behaviors are undergoing deep changes, with a significant increase in the intensity of urban logistics and a diversification of delivery channels within cities. This is an important challenge for city sustainability, as urban logistics is an essential economic activity, and yet the source of intense negative externalities. Numerous directions are currently being explored to rethink urban logistics, such as drones, cargo bikes, crowd logistics, and so forth. However, the economic and environmental relevance of these technologies is not yet perfectly clear. This paper focuses on the conditions for the financial sustainability of cargo bikes compared with electric light commercial vehicles (LCVs). The analysis is based on real data, provided by the parcel service company DB Schenker. The dataset consists of 600,000 operations made in Paris over two months. Operations with electric LCV are assumed to be identical to conventional LCV; the cost comparison is based on a total cost of ownership approach. Operations with cargo bikes assumes that eligible shipments are first brought to micro hubs within the city by electric LCV, then delivered by cargo bike. The numbers and locations of micro hubs are optimized. Results show that a cargo bike solution can be more cost-efficient than electric LCV with a few micro hubs located where the demand is densest, but they can only be relevant financially in those conditions.", "keywords": [ "Truck", "Service (business)", "Business", "Externality", "Sustainability", "Supply chain", "Transport engineering", "Diversification (marketing strategy)", "Industrial organization", "Environmental economics", "Marketing", "Economics" ], "cited_by_openalex": 32, "cited_by_scopus": "30", "eid": "2-s2.0-85138282482", "pii": null, "open_access_url": "https://doi.org/10.1177/03611981221086632", "sources": [ { "db": "openalex", "stream": "TRUCK", "query_id": "TRUCK-1" }, { "db": "openalex", "stream": "UAV", "query_id": "UAV-1" }, { "db": "scopus", "stream": "TRUCK", "query_id": "TRUCK-1" }, { "db": "scopus", "stream": "UAV", "query_id": "UAV-1" } ], "streams": [ "TRUCK", "UAV" ], "relevance_signals": [ "UAV", "TRUCK" ], "auto_exclude_reason": null, "screening_status": "pending_human_screening", "screened_by": "auto-v1.0.0" }, { "id": "doi:10.1287/trsc.2022.1162", "doi": "10.1287/trsc.2022.1162", "title": "A Chance-Constrained Two-Echelon Vehicle Routing Problem with Stochastic Demands", "year": 2022, "authors": [ "Natasja Sluijk", "Alexandre M. Florio", "Joris Kinable", "Nico Dellaert", "Tom Van Woensel" ], "first_author": "Natasja Sluijk", "venue": "Transportation Science", "volume": "57", "pages": "252-272", "type": "article", "language": "en", "abstract": "Two-echelon distribution systems are often considered in city logistics to maintain economies of scale and satisfy the emission zone requirements in the cities. In this work, we formulate the two-echelon vehicle routing problem with stochastic demands as a chance-constrained stochastic optimization problem, where the total demand of the customers in each second-echelon route should fit within the second-echelon vehicle capacity with a high probability. We propose two efficient solution procedures based on column generation. Key to the efficiency of these procedures is the underlying labeling algorithm to generate new columns. We propose a novel labeling algorithm based on simultaneous construction of second-echelon routes and a labeling algorithm that builds second-echelon routes sequentially. To further enhance the performance of the solution procedure, we use statistical inference tests to ensure that the chance constraints are met. We reduce the number of customer combinations for which the chance constraint needs to be verified by imposing feasibility bounds on the stochastic customer demands. With these bounds, the runtimes of the labeling algorithms are reduced significantly. The novel labeling algorithm, statistical inference, and feasibility bounds can also be applied to dependent, correlated, and data-driven (scenario-based) demand distributions. Finally, we show the value of the stochastic formulation in terms of improved solution cost and guaranteed feasibility of second-echelon routes. Funding: This work was funded by the Dutch Research Council (NWO) DAREFUL project [Grant 629.002.211] and was carried out on the Dutch national e-infrastructure with the support of SURF Cooperative. Supplemental Material: The online appendices are available at https://doi.org/10.1287/trsc.2022.1162 .", "keywords": [ "Vehicle routing problem", "Column generation", "Computer science", "Mathematical optimization", "Inference", "Constraint (computer-aided design)", "Routing (electronic design automation)", "Stochastic optimization", "Key (lock)", "Statistical inference", "Operations research", "Mathematics" ], "cited_by_openalex": 34, "cited_by_scopus": "30", "eid": "2-s2.0-85142361257", "pii": null, "open_access_url": "https://research.tue.nl/en/publications/260c23a9-f384-45fd-898a-25a4be5f4e34", "sources": [ { "db": "openalex", "stream": "TRUCK", "query_id": "TRUCK-2" }, { "db": "scopus", "stream": "TRUCK", "query_id": "TRUCK-2" } ], "streams": [ "TRUCK" ], "relevance_signals": [ "NO_TECHNOLOGY_MATCH" ], "auto_exclude_reason": "EC-4-topic", "screening_status": "auto_excluded", "screened_by": "auto-v1.0.0" }, { "id": "doi:10.1109/tits.2022.3225269", "doi": "10.1109/tits.2022.3225269", "title": "Optimal Routing of Unmanned Aerial Vehicle for Joint Goods Delivery and in-Situ Sensing", "year": 2022, "authors": [ "Bin Liu", "Wei Ni", "Ren Ping Liu", "Y. Jay Guo", "Hongbo Zhu" ], "first_author": "Bin Liu", "venue": "IEEE Transactions on Intelligent Transportation Systems", "volume": "24", "pages": "3594-3599", "type": "article", "language": "en", "abstract": "This paper puts forth a new application of an unmanned aerial vehicle (UAV) to joint goods delivery and in-situ sensing, and proposes a new algorithm that jointly optimizes the route and sensing task selection to minimize the UAV’s energy consumption, maximize its sensing reward, and ensure timely goods delivery. This problem is new and non-trivial due to its nature of mixed integer programming. The key idea behind the new algorithm is that we interpret the possible waypoints of the UAV as location-dependent tasks to incorporate routing and sensing in one task selection process. Another critical aspect is that we construct a new task-time graph to describe the process, where each vertex corresponds to a task associated with its location, time and reward, and each edge indicates the propulsion energy required for the UAV to travel between two tasks. By redistributing the weight of a vertex to its incoming edges, the new UAV routing and sensing task selection problem can be converted to a weighted routing problem in the new task-time graph and solved optimally using the Bellman-Ford algorithm. Validated by a real-world case study, our approach can outperform its alternatives by over 18% in task reward.", "keywords": [ "Computer science", "Task (project management)", "Routing (electronic design automation)", "Energy consumption", "Key (lock)", "Integer programming", "Graph", "Vehicle routing problem", "Real-time computing", "Distributed computing", "Process (computing)", "Engineering" ], "cited_by_openalex": 28, "cited_by_scopus": "30", "eid": "2-s2.0-85144788396", "pii": null, "open_access_url": "https://doi.org/10.1109/tits.2022.3225269", "sources": [ { "db": "openalex", "stream": "UAV", "query_id": "UAV-2" }, { "db": "scopus", "stream": "UAV", "query_id": "UAV-2" } ], "streams": [ "UAV" ], "relevance_signals": [ "UAV_NO_CTX" ], "auto_exclude_reason": "EC-4-topic", "screening_status": "auto_excluded", "screened_by": "auto-v1.0.0" }, { "id": "doi:10.1109/dasc55683.2022.9925820", "doi": "10.1109/dasc55683.2022.9925820", "title": "Design and Analysis of Corridors for UAM Operations", "year": 2022, "authors": [ "Savvy Verma", "Victoria Dulchinos", "Robert Dan Wood", "Amir H. Farrahi", "Richard H. Mogford", "Megan C. Shyr", "Rania W. Ghatas" ], "first_author": "Savvy Verma", "venue": "2022 IEEE/AIAA 41st Digital Avionics Systems Conference (DASC)", "volume": null, "pages": null, "type": "conference-paper", "language": "en", "abstract": "Urban Air Mobility (UAM) is predicted to provide alternate modes of transportation for cargo and passengers in the urban areas. Integration of UAM operations into the National Airspace System is a challenge especially around large airport. The Federal Aviation Administration’s (FAA) UAM Concept of Operations (ConOps) suggests new airspace structures for UAM operations such as corridors where FAA air traffic control (ATC) will not be expected to provide services. This paper presents a design for corridors in the Dallas Fort Worth (DFW) area that attempts to minimize air traffic controller interactions with UAM pilots and operators. The corridor and vertiports are then analyzed with respect to Class B separation criteria and wake advisory criteria. The results show that for the corridors designed for the DFW area and presented in this research, in some cases Class B separation criteria are not available between UAM corridors and legacy traffic due to the geometry of the airport. It shows that wake advisory criteria were not met for some segments in North Flow traffic but were generally met in South Flow. This means that some corridor segments at DFW airport will not be available for a given airport flow and may need new placements, which need further investigation.", "keywords": [ "Separation (statistics)", "Transport engineering", "Air traffic control", "Wake", "National Airspace System", "Aviation", "Aeronautics", "Traffic flow (computer networking)", "Computer science", "Engineering", "Aerospace engineering", "Computer security" ], "cited_by_openalex": 30, "cited_by_scopus": 0, "eid": null, "pii": null, "open_access_url": "https://doi.org/10.1109/dasc55683.2022.9925820", "sources": [ { "db": "openalex", "stream": "UAV", "query_id": "UAV-3" } ], "streams": [ "UAV" ], "relevance_signals": [ "UAV_NO_CTX" ], "auto_exclude_reason": "EC-4-topic", "screening_status": "auto_excluded", "screened_by": "auto-v1.0.0" }, { "id": "doi:10.1016/j.trd.2022.103371", "doi": "10.1016/j.trd.2022.103371", "title": "Optimising vehicle and on-foot porter routing in urban logistics", "year": 2022, "authors": [ "Wehbi L." ], "first_author": "Wehbi L.", "venue": "Transportation Research Part D Transport and Environment", "volume": "109", "pages": null, "type": "Article", "language": null, "abstract": null, "keywords": [], "cited_by_openalex": 0, "cited_by_scopus": "30", "eid": "2-s2.0-85132934087", "pii": "S1361920922001997", "open_access_url": null, "sources": [ { "db": "scopus", "stream": "TRUCK", "query_id": "TRUCK-1" } ], "streams": [ "TRUCK" ], "relevance_signals": [ "NO_TECHNOLOGY_MATCH" ], "auto_exclude_reason": "EC-4-topic", "screening_status": "auto_excluded", "screened_by": "auto-v1.0.0" }, { "id": "doi:10.1016/j.eswa.2022.118351", "doi": "10.1016/j.eswa.2022.118351", "title": "Improving the efficiency of last-mile delivery with the flexible drones traveling salesman problem", "year": 2022, "authors": [ "Shih‐Hao Lu", "R.J. Kuo", "Yi-Ting Ho", "Anh-Tu Nguyen" ], "first_author": "Shih‐Hao Lu", "venue": "Expert Systems with Applications", "volume": "209", "pages": null, "type": "article", "language": "en", "abstract": null, "keywords": [ "Drone", "Travelling salesman problem", "Computer science", "Truck", "Last mile (transportation)", "Heuristic", "Real-time computing", "Operations research", "Mile", "Engineering", "Artificial intelligence", "Automotive engineering" ], "cited_by_openalex": 33, "cited_by_scopus": "29", "eid": "2-s2.0-85135690888", "pii": "S0957417422014701", "open_access_url": "https://doi.org/10.1016/j.eswa.2022.118351", "sources": [ { "db": "openalex", "stream": "TRUCK", "query_id": "TRUCK-1" }, { "db": "openalex", "stream": "UAV", "query_id": "UAV-1" }, { "db": "scopus", "stream": "TRUCK", "query_id": "TRUCK-1" }, { "db": "scopus", "stream": "UAV", "query_id": "UAV-1" } ], "streams": [ "TRUCK", "UAV" ], "relevance_signals": [ "UAV", "TRUCK" ], "auto_exclude_reason": null, "screening_status": "pending_human_screening", "screened_by": "auto-v1.0.0" }, { "id": "doi:10.3390/su14105753", "doi": "10.3390/su14105753", "title": "A Fuzzy Analytic Hierarchy Process Model to Evaluate Logistics Service Expectations and Delivery Methods in Last-Mile Delivery in Brazil", "year": 2022, "authors": [ "Fernanda Alves de Araújo", "João Gilberto Mendes dos Reis", "Márcia Terra da Silva", "Emel Aktaş" ], "first_author": "Fernanda Alves de Araújo", "venue": "Sustainability", "volume": "14", "pages": null, "type": "article", "language": "en", "abstract": "Nowadays, postal services and third-party logistics services (3PL) have been pressured by the increasing demand for delivery services. Therefore, they need to improve their last-mile delivery strategies to meet customers’ expectations. This paper aims to investigate how logistics service expectations affect the delivery process in urban areas using a multiple-criteria decision support system based on the Fuzzy Analytic Hierarchy Process (FAHP). We developed a decision-making model employing six criteria and five delivery methods indicated in the literature and collected information from 27 experts working in academia and local and multinational third-party logistics providers in Brazil to validate this model. The results indicate that cost (21.4%) and tracking and tracing (19.3%) are the most important two criteria in the decision model, and the best delivery methods are smart lockers (21.8%) followed by small trucks (21.3%). Our results suggest that service expectations regarding last-mile delivery are aligned with extensive use of road transport and the increase in e-commerce sales can raise greenhouse gas emissions and compromise the environment in urban areas.", "keywords": [ "Last mile (transportation)", "Analytic hierarchy process", "Service delivery framework", "Business", "Purchasing", "Service (business)", "Delivery Performance", "Service provider", "Computer science", "Process (computing)", "Operations research", "Environmental economics" ], "cited_by_openalex": 30, "cited_by_scopus": "29", "eid": "2-s2.0-85130414633", "pii": null, "open_access_url": "https://www.mdpi.com/2071-1050/14/10/5753/pdf?version=1652173935", "sources": [ { "db": "openalex", "stream": "TRUCK", "query_id": "TRUCK-1" }, { "db": "scopus", "stream": "TRUCK", "query_id": "TRUCK-1" } ], "streams": [ "TRUCK" ], "relevance_signals": [ "TRUCK" ], "auto_exclude_reason": null, "screening_status": "pending_human_screening", "screened_by": "auto-v1.0.0" }, { "id": "doi:10.1186/s12544-022-00525-6", "doi": "10.1186/s12544-022-00525-6", "title": "Fuel cell drive for urban freight transport in comparison to diesel and battery electric drives: a case study of the food retailing industry in Berlin", "year": 2022, "authors": [ "John Kenneth Winkler", "Alexander Grahle", "Anne Magdalene Syré", "Kai Martins-Turner", "Dietmar Göhlich" ], "first_author": "John Kenneth Winkler", "venue": "European Transport Research Review", "volume": "14", "pages": null, "type": "article", "language": "en", "abstract": "Abstract The option of decarbonizing urban freight transport using battery electric vehicle (BEV) seems promising. However, there is currently a strong debate whether fuel cell electric vehicle (FCEV) might be the better solution. The question arises as to how a fleet of FCEV influences the operating cost, the greenhouse gas (GHG) emissions and primary energy demand in comparison to BEVs and to Internal Combustion Engine Vehicle (ICEV). To investigate this, we simulate the urban food retailing as a representative share of urban freight transport using a multi-agent transport simulation software. Synthetic routes as well as fleet size and composition are determined by solving a vehicle routing problem. We compute the operating costs using a total cost of ownership analysis and the use phase emissions as well as primary energy demand using the well to wheel approach. While a change to BEV results in 17–23% higher costs compared to ICEV, using FCEVs leads to 22–57% higher costs. Assuming today’s electricity mix, we show a GHG emission reduction of 25% compared to the ICEV base case when using BEV. Current hydrogen production leads to a GHG reduction of 33% when using FCEV which however cannot be scaled to larger fleets. Using current electricity in electrolysis will increase GHG emission by 60% compared to the base case. Assuming 100% renewable electricity for charging and hydrogen production, the reduction from FCEVs rises to 73% and from BEV to 92%. The primary energy requirement for BEV is in all cases lower and for higher compared to the base case. We conclude that while FCEV have a slightly higher GHG savings potential with current hydrogen, BEV are the favored technology for urban freight transport from an economic and ecological point of view, considering the increasing shares of renewable energies in the grid mix.", "keywords": [ "Greenhouse gas", "Automotive engineering", "Battery (electricity)", "Electricity", "Electric vehicle", "Battery electric vehicle", "Renewable energy", "Hydrogen vehicle", "Diesel fuel", "Green vehicle", "Sustainable transport", "Internal combustion engine" ], "cited_by_openalex": 32, "cited_by_scopus": "29", "eid": "2-s2.0-85124411446", "pii": null, "open_access_url": "https://etrr.springeropen.com/counter/pdf/10.1186/s12544-022-00525-6", "sources": [ { "db": "openalex", "stream": "TRUCK", "query_id": "TRUCK-2" }, { "db": "scopus", "stream": "TRUCK", "query_id": "TRUCK-2" } ], "streams": [ "TRUCK" ], "relevance_signals": [ "NO_TECHNOLOGY_MATCH" ], "auto_exclude_reason": "EC-4-topic", "screening_status": "auto_excluded", "screened_by": "auto-v1.0.0" }, { "id": "doi:10.3390/app12147059", "doi": "10.3390/app12147059", "title": "A Small UAV Optimized for Efficient Long-Range and VTOL Missions: An Experimental Tandem-Wing Quadplane Drone", "year": 2022, "authors": [ "Michał Okulski", "Maciej Ławryńczuk" ], "first_author": "Michał Okulski", "venue": "Applied Sciences", "volume": "12", "pages": null, "type": "article", "language": "en", "abstract": "Most types of Unmanned Aerial Vehicle (UAV, drone) missions requiring Vertical-Take-Off-and-Landing (VTOL) capability could benefit if a drone’s effective range could be extended. Example missions include Search-And-Rescue (SAR) operations, a remote inspection of distant objects, or parcel delivery. There are numerous research works on multi-rotor drones (e.g., quadcopters), fixed-wing drones, VTOL quadplanes, or tilt-motor/tilt-wing VTOLs. We propose a unique compact VTOL UAV optimized for long hover and long-range missions with great lifting capacity and manoeuvrability: a tandem-wing quadplane with fixed motors only. To the best of our knowledge, such a drone has not yet been researched. The drone was designed, built, and tested in flight. Construction details, its advantages, and issues are discussed in this research.", "keywords": [ "Drone", "Fixed wing", "Aeronautics", "Aerospace engineering", "Wing", "Computer science", "Range (aeronautics)", "Simulation", "Engineering" ], "cited_by_openalex": 26, "cited_by_scopus": "29", "eid": "2-s2.0-85137321077", "pii": null, "open_access_url": "https://www.mdpi.com/2076-3417/12/14/7059/pdf?version=1657704624", "sources": [ { "db": "openalex", "stream": "UAV", "query_id": "UAV-1" }, { "db": "scopus", "stream": "UAV", "query_id": "UAV-1" } ], "streams": [ "UAV" ], "relevance_signals": [ "UAV" ], "auto_exclude_reason": null, "screening_status": "pending_human_screening", "screened_by": "auto-v1.0.0" }, { "id": "doi:10.1080/19427867.2022.2035130", "doi": "10.1080/19427867.2022.2035130", "title": "Applying the integrated model to understanding online buyers’ intention to adopt delivery drones in Iran", "year": 2022, "authors": [ "Houmaan Ganjipour", "Ali Edrisi" ], "first_author": "Houmaan Ganjipour", "venue": "Transportation Letters", "volume": "15", "pages": "98-110", "type": "article", "language": "en", "abstract": "This study is aimed at determining the factors influential in the acceptance of delivery drones as a new way for last-mile delivery in the future. In this regard, the study model was proposed using the UTAUT2 as the base model and adding the factors of psychological characteristics, perceived risk, and need for human interaction to it. The information about 357 Iranian buyers was collected for the PLS-SEM by designing an online questionnaire. The results indicated that all variables of UTAUT2, except for performance expectancy, had a positive and significant effect on the intention of buyers to use delivery drones. Moreover, the personal norm positively affected the users’ intention, while the need for human interaction and perceived risk had adverse effects on it. The research findings indicated that innovativeness had a significant positive effect on effort expectancy and compatibility while having an insignificant effect on performance expectancy.", "keywords": [ "Expectancy theory", "Unified theory of acceptance and use of technology", "Psychology", "Social influence", "Social psychology", "Structural equation modeling", "Risk perception", "Business", "Applied psychology", "Marketing", "Computer science" ], "cited_by_openalex": 38, "cited_by_scopus": "29", "eid": "2-s2.0-85125151891", "pii": null, "open_access_url": "https://doi.org/10.1080/19427867.2022.2035130", "sources": [ { "db": "openalex", "stream": "UAV", "query_id": "UAV-1" }, { "db": "scopus", "stream": "UAV", "query_id": "UAV-1" } ], "streams": [ "UAV" ], "relevance_signals": [ "UAV" ], "auto_exclude_reason": null, "screening_status": "pending_human_screening", "screened_by": "auto-v1.0.0" }, { "id": "doi:10.1007/s10489-022-03535-y", "doi": "10.1007/s10489-022-03535-y", "title": "Intelligent fleet management of autonomous vehicles for city logistics", "year": 2022, "authors": [ "Elias K. Xidias", "Paraskevi Th. Zacharia", "Andreas C. Nearchou" ], "first_author": "Elias K. Xidias", "venue": "Applied Intelligence", "volume": "52", "pages": "18030-18048", "type": "article", "language": "en", "abstract": null, "keywords": [ "Computer science", "Context (archaeology)", "Routing (electronic design automation)", "Fuzzy logic", "Vehicle routing problem", "Genetic algorithm", "Motion planning", "Operations research", "Work (physics)", "Motion (physics)", "Real-time computing", "Artificial intelligence" ], "cited_by_openalex": 29, "cited_by_scopus": "28", "eid": "2-s2.0-85127689235", "pii": null, "open_access_url": "https://doi.org/10.1007/s10489-022-03535-y", "sources": [ { "db": "openalex", "stream": "TRUCK", "query_id": "TRUCK-2" }, { "db": "scopus", "stream": "TRUCK", "query_id": "TRUCK-2" } ], "streams": [ "TRUCK" ], "relevance_signals": [ "NO_TECHNOLOGY_MATCH" ], "auto_exclude_reason": "EC-4-topic", "screening_status": "auto_excluded", "screened_by": "auto-v1.0.0" }, { "id": "doi:10.1016/j.swevo.2022.101147", "doi": "10.1016/j.swevo.2022.101147", "title": "Optimization approaches for the urban delivery problem with trucks and drones", "year": 2022, "authors": [ "Xiaoning Zang", "Li Jiang", "Changyong Liang", "Junfeng Dong", "Wenxing Lu", "Nenad Mladenović" ], "first_author": "Xiaoning Zang", "venue": "Swarm and Evolutionary Computation", "volume": "75", "pages": null, "type": "article", "language": "en", "abstract": null, "keywords": [ "Heuristics", "Truck", "Drone", "Computer science", "Routing (electronic design automation)", "Vehicle routing problem", "Mathematical optimization", "Integer programming", "Construct (python library)", "Operations research", "Computer network", "Mathematics" ], "cited_by_openalex": 28, "cited_by_scopus": "28", "eid": "2-s2.0-85135953547", "pii": "S221065022200116X", "open_access_url": "https://doi.org/10.1016/j.swevo.2022.101147", "sources": [ { "db": "openalex", "stream": "TRUCK", "query_id": "TRUCK-2" }, { "db": "openalex", "stream": "TRUCK", "query_id": "TRUCK-3" }, { "db": "scopus", "stream": "TRUCK", "query_id": "TRUCK-2" }, { "db": "scopus", "stream": "TRUCK", "query_id": "TRUCK-3" } ], "streams": [ "TRUCK" ], "relevance_signals": [ "UAV", "TRUCK" ], "auto_exclude_reason": null, "screening_status": "pending_human_screening", "screened_by": "auto-v1.0.0" }, { "id": "doi:10.1109/tvt.2022.3179732", "doi": "10.1109/tvt.2022.3179732", "title": "Congestion-Aware Multi-Drone Delivery Routing Framework", "year": 2022, "authors": [ "Seonhoon Lee", "Dooyoung Hong", "Jaemin Kim", "Donkyu Baek", "Naehyuck Chang" ], "first_author": "Seonhoon Lee", "venue": "IEEE Transactions on Vehicular Technology", "volume": "71", "pages": "9384-9396", "type": "article", "language": "en", "abstract": "Drones have been attracting the attention of diverse industries thanks to their superior maneuverability. Logistics companies especially keep trying to utilize drones for fast delivery following the growing market size of e-commerce. Accordingly, methods for safely operating multi-drone have been researched, and many researchers have proposed various optimal or near-optimal routing methods. However, such methods have some problems that cause routing failures or huge routing computation time in a drone-dense space due to many collisions. In this paper, we propose a centralized framework that deals with enormous collisions and obtains collision-free paths rapidly. We first build a drone energy consumption model with a data-driven method using flight experiment data of a commercial drone to estimate the drone battery state-of-charge (SoC). Then, we develop a novel routing method that generates collision-free paths by considering both the congestion of the space and the SoC of each drone. The proposed method is inspired by the VLSI circuit routing method that connects all signal nets among thousands of logic components. Through numerous delivery routing simulations, we confirm that the proposed method achieves a maximum of 6 times higher routing success rate with a 10x faster runtime compared with the state-of-the-art optimal method. In addition, we validate that the proposed method is applicable to delivery routing problems with various drone battery capacities.", "keywords": [ "Drone", "Routing (electronic design automation)", "Computer science", "Static routing", "Routing table", "Multipath routing", "Computer network", "Routing protocol" ], "cited_by_openalex": 28, "cited_by_scopus": "28", "eid": "2-s2.0-85131764580", "pii": null, "open_access_url": "https://doi.org/10.1109/tvt.2022.3179732", "sources": [ { "db": "openalex", "stream": "UAV", "query_id": "UAV-2" }, { "db": "scopus", "stream": "UAV", "query_id": "UAV-2" } ], "streams": [ "UAV" ], "relevance_signals": [ "UAV_NO_CTX" ], "auto_exclude_reason": "EC-4-topic", "screening_status": "auto_excluded", "screened_by": "auto-v1.0.0" }, { "id": "doi:10.3390/su15010437", "doi": "10.3390/su15010437", "title": "Optimal Vertiport Airspace and Approach Control Strategy for Urban Air Mobility (UAM)", "year": 2022, "authors": [ "Kyowon Song" ], "first_author": "Kyowon Song", "venue": "Sustainability", "volume": "15", "pages": null, "type": "article", "language": "en", "abstract": "Recently, urban air mobility (UAM), a new transportation system that can expand urban mobility from 2D to 3D, has been in the spotlight all over the world. For successful implementation of UAM, not only eVTOL aircraft development but also various systems such as UAM traffic management are required; however, research on these areas is still insufficient. Based on the BQA model, in this study, we introduce the balanced branch queuing approach (BBQA) model as a new approach control model that can improve operational efficiency by enabling the landing order to be changed more easily. Through simulation, its effectiveness was verified. The proposed BBQA achieved the identical airspace safety as the BQA model, in addition to showing a superior result to the SBA model in on-time performance (OTP). The vertiport airspace blueprint concept and approach control model proposed in this study are expected to play an important role in future studies in the area of air traffic management in UAM.", "keywords": [ "Air traffic control", "Queueing theory", "Blueprint", "Control (management)", "Computer science", "Transport engineering", "Air traffic management", "Operations research", "Engineering", "Aerospace engineering", "Computer network" ], "cited_by_openalex": 25, "cited_by_scopus": "28", "eid": "2-s2.0-85145890688", "pii": null, "open_access_url": "https://www.mdpi.com/2071-1050/15/1/437/pdf?version=1672137872", "sources": [ { "db": "openalex", "stream": "UAV", "query_id": "UAV-3" }, { "db": "scopus", "stream": "UAV", "query_id": "UAV-3" } ], "streams": [ "UAV" ], "relevance_signals": [ "UAV_NO_CTX" ], "auto_exclude_reason": "EC-4-topic", "screening_status": "auto_excluded", "screened_by": "auto-v1.0.0" }, { "id": "doi:10.1016/j.ejor.2021.09.009", "doi": "10.1016/j.ejor.2021.09.009", "title": "The vehicle routing problem with load-dependent travel times for cargo bicycles", "year": 2022, "authors": [ "Fontaine P." ], "first_author": "Fontaine P.", "venue": "European Journal of Operational Research", "volume": "300", "pages": "1005-1016", "type": "Article", "language": null, "abstract": null, "keywords": [], "cited_by_openalex": 0, "cited_by_scopus": "28", "eid": "2-s2.0-85116200872", "pii": "S0377221721007682", "open_access_url": null, "sources": [ { "db": "scopus", "stream": "TRUCK", "query_id": "TRUCK-2" } ], "streams": [ "TRUCK" ], "relevance_signals": [ "NO_TECHNOLOGY_MATCH" ], "auto_exclude_reason": "EC-4-topic", "screening_status": "auto_excluded", "screened_by": "auto-v1.0.0" }, { "id": "doi:10.1080/00207543.2021.1893852", "doi": "10.1080/00207543.2021.1893852", "title": "The impact of shipment consolidation strategies for green home delivery: a case study in a Mexican retail company", "year": 2022, "authors": [ "Muñoz-Villamizar A." ], "first_author": "Muñoz-Villamizar A.", "venue": "International Journal of Production Research", "volume": "60", "pages": "2443-2460", "type": "Article", "language": null, "abstract": null, "keywords": [], "cited_by_openalex": 0, "cited_by_scopus": "28", "eid": "2-s2.0-85102574658", "pii": null, "open_access_url": null, "sources": [ { "db": "scopus", "stream": "TRUCK", "query_id": "TRUCK-2" } ], "streams": [ "TRUCK" ], "relevance_signals": [ "NO_TECHNOLOGY_MATCH" ], "auto_exclude_reason": "EC-4-topic", "screening_status": "auto_excluded", "screened_by": "auto-v1.0.0" }, { "id": "doi:10.3390/s22249858", "doi": "10.3390/s22249858", "title": "Analysis of Modern vs. Conventional Development Technologies in Transportation—The Case Study of a Last-Mile Delivery Process", "year": 2022, "authors": [ "Mariusz Kostrzewski", "Yahya Abdelatty", "Ahmed Eliwa", "M. Nader" ], "first_author": "Mariusz Kostrzewski", "venue": "Sensors", "volume": "22", "pages": null, "type": "article", "language": "en", "abstract": "Transportation plays a significant role in the global economy and society and takes part in a lot of different processes such as mass transportation and the supply chain. Therefore, it is crucial to introduce modern technologies in this area of the economy in the context of Industry 4.0. The main scope of this study is to develop a model that supports analyzing last-mile logistics modern solutions using the latest technologies such as road autonomous delivery robots (RADRs), civil drones, or smart bikes, and compare them to conventional solutions (delivery vehicles). Multi-criteria decision analysis (MCDA) was applied to build a formal comparison model that scores the solutions and weights different criteria according to decision-makers and placeholders, to rank the solutions from the most crucial option to the weakest in a predetermined scenario with set parameters and conditions (three varied scenarios were included in the present investigation). The results of the model were in favor of using civil drones or smart bicycles to perform light deliveries in small urban areas (these key findings support the assumptions that are often manifested in speech in the context of the use of new technologies). The modern solutions scored almost 40-80% higher in total in the conglomeration of assessment criteria (such as safety, economy, laws and regulations, operation time for the delivery, environment, and payload) than the conventional solution, which indicates the importance of studying the implementation of such technologies. An interesting result of the study is the operational cost reduction by ca. 60-74% in favor of autonomous delivery robots, 89-93% in favor of civil delivery drones, and 87-90% in favor of smart bikes vs. conventional delivery trucks/vans. Yet, it should be underlined that the results may vary with different assumptions within the MCDA method.", "keywords": [ "Context (archaeology)", "Scope (computer science)", "Multiple-criteria decision analysis", "Payload (computing)", "Process (computing)", "Drone", "Computer science", "Last mile (transportation)", "Supply chain", "Emerging technologies", "Risk analysis (engineering)", "Transport engineering" ], "cited_by_openalex": 33, "cited_by_scopus": "27", "eid": "2-s2.0-85144521043", "pii": null, "open_access_url": "https://www.mdpi.com/1424-8220/22/24/9858/pdf?version=1671087119", "sources": [ { "db": "openalex", "stream": "TRUCK", "query_id": "TRUCK-1" }, { "db": "openalex", "stream": "UAV", "query_id": "UAV-1" }, { "db": "scopus", "stream": "TRUCK", "query_id": "TRUCK-1" }, { "db": "scopus", "stream": "UAV", "query_id": "UAV-1" } ], "streams": [ "TRUCK", "UAV" ], "relevance_signals": [ "UAV", "TRUCK" ], "auto_exclude_reason": null, "screening_status": "pending_human_screening", "screened_by": "auto-v1.0.0" }, { "id": "doi:10.3390/designs6020039", "doi": "10.3390/designs6020039", "title": "Design of Cyber-Physical Waste Management Systems Focusing on Energy Efficiency and Sustainability", "year": 2022, "authors": [ "Mohammad Zaher Akkad", "Sameh Haidar", "Tamás Bányai" ], "first_author": "Mohammad Zaher Akkad", "venue": "Designs", "volume": null, "pages": null, "type": "article", "language": "en", "abstract": "Industry 4.0 tools, such as the Internet of Things, artificial intelligence, digital twinning, and cloud computing, create a technological revolution that accelerates efforts to optimize the efficiency of cyber-physical operations and services. The waste management system requires a critical share of city logistics optimization, especially when using cyber-physical systems. Modern tools reduce the required municipal waste handling, such as loading and unloading, transportation, and warehousing, which leads to an increase in efficiency and flexibility, saving energy and time, and protecting the environment. In this paper, we present a cyber-physical waste management system solution by providing a cyber-physical model design and description, mathematical modeling, and two cases to investigate the impact on energy consumption and emissions. After an introduction and literature review, we describe the design of the cyber-physical model and tackle the first echelon. The designed system incorporates the IoT, smart bins with multi-percentage sensors, data and information analysis, vehicles’ actual routes, energy and emissions optimization, multi-echelon systems, time windows, and flexibility. Mathematical modeling equations for the optimized total energy consumption are presented. Thirty and twenty smart bins located in VIII District in Budapest are detailed as two case studies, where solutions for the optimized real routes and energy consumption are found using three metaheuristic algorithms: genetic, particle swarm, and simulated annealing optimization algorithms. The accrued emissions of CO, NMHC, CH4, NOx, and PM for the optimized solutions are calculated. Finally, the results are compared with a random traditional solution to measure the effectiveness.", "keywords": [ "Cyber-physical system", "Energy consumption", "Flexibility (engineering)", "Computer science", "Simulated annealing", "Efficient energy use", "Particle swarm optimization", "Metaheuristic", "Operations research", "Engineering", "Artificial intelligence" ], "cited_by_openalex": 27, "cited_by_scopus": 0, "eid": null, "pii": null, "open_access_url": "https://www.mdpi.com/2411-9660/6/2/39/pdf?version=1650352397", "sources": [ { "db": "openalex", "stream": "TRUCK", "query_id": "TRUCK-2" } ], "streams": [ "TRUCK" ], "relevance_signals": [ "NO_TECHNOLOGY_MATCH" ], "auto_exclude_reason": "EC-4-topic", "screening_status": "auto_excluded", "screened_by": "auto-v1.0.0" }, { "id": "doi:10.1016/j.asoc.2022.109448", "doi": "10.1016/j.asoc.2022.109448", "title": "Solving the number of cross-dock open doors optimization problem by combination of NSGA-II and multi-objective simulated annealing", "year": 2022, "authors": [ "Arash Motaghedi-Larijani" ], "first_author": "Arash Motaghedi-Larijani", "venue": "Applied Soft Computing", "volume": null, "pages": null, "type": "article", "language": "en", "abstract": null, "keywords": [ "DOCK", "Doors", "Vehicle routing problem", "Computer science", "Truck", "Metaheuristic", "Simulated annealing", "Mathematical optimization", "Scheduling (production processes)", "Sorting", "Genetic algorithm", "Routing (electronic design automation)" ], "cited_by_openalex": 27, "cited_by_scopus": 0, "eid": null, "pii": null, "open_access_url": "https://doi.org/10.1016/j.asoc.2022.109448", "sources": [ { "db": "openalex", "stream": "TRUCK", "query_id": "TRUCK-3" } ], "streams": [ "TRUCK" ], "relevance_signals": [ "TRUCK_NO_CTX" ], "auto_exclude_reason": "EC-4-topic", "screening_status": "auto_excluded", "screened_by": "auto-v1.0.0" }, { "id": "doi:10.1016/j.cor.2022.105696", "doi": "10.1016/j.cor.2022.105696", "title": "Multi-fleet feeder vehicle routing problem using hybrid metaheuristic", "year": 2022, "authors": [ "M. Salehi Sarbijan", "Javad Behnamian" ], "first_author": "M. Salehi Sarbijan", "venue": "Computers & Operations Research", "volume": "141", "pages": null, "type": "article", "language": "en", "abstract": null, "keywords": [ "Particle swarm optimization", "Simulated annealing", "Vehicle routing problem", "Computer science", "Variable neighborhood search", "Metaheuristic", "Ant colony optimization algorithms", "Algorithm", "Mathematical optimization", "Truck", "Taguchi methods", "Hybrid algorithm (constraint satisfaction)" ], "cited_by_openalex": 28, "cited_by_scopus": "27", "eid": "2-s2.0-85122612468", "pii": "S0305054822000028", "open_access_url": "https://doi.org/10.1016/j.cor.2022.105696", "sources": [ { "db": "openalex", "stream": "TRUCK", "query_id": "TRUCK-3" }, { "db": "scopus", "stream": "TRUCK", "query_id": "TRUCK-3" } ], "streams": [ "TRUCK" ], "relevance_signals": [ "TRUCK_NO_CTX" ], "auto_exclude_reason": "EC-4-topic", "screening_status": "auto_excluded", "screened_by": "auto-v1.0.0" }, { "id": "doi:10.3390/su14084651", "doi": "10.3390/su14084651", "title": "Optimal Model and Algorithm of Medical Materials Delivery Drone Routing Problem under Major Public Health Emergencies", "year": 2022, "authors": [ "Lijing Du", "Xiaohuan Li", "Yuan Gan", "Kaijun Leng" ], "first_author": "Lijing Du", "venue": "Sustainability", "volume": "14", "pages": null, "type": "article", "language": "en", "abstract": "To reduce distribution risk and improve the efficiency of medical materials delivery under major public health emergencies, this paper introduces a drone routing problem with time windows. A mixed-integer programming model is formulated considering contactless delivery, total travel time, and customer service time windows. Utilizing Dantzig–Wolfe decomposition, the proposed optimization model is converted into a path-based master problem and a pricing subproblem based on an elementary shortest path problem with resource constraints. We embed the pulse algorithm into a column generation framework to solve the proposed model. The effectiveness of the model and algorithm is verified by addressing different scales of Solomon datasets. A case study on COVID-19 illustrates the application of the proposed model and algorithm in practice. We also perform a sensitivity analysis on the drone capacity that may affect the total distribution time. The experimental results enrich the research related to vehicle routing problem models and algorithms under major public health emergencies and provide optimized relief distribution solutions for decision-makers of emergency logistics.", "keywords": [ "Vehicle routing problem", "Column generation", "Computer science", "Drone", "Path (computing)", "Shortest path problem", "Routing (electronic design automation)", "Integer programming", "Sensitivity (control systems)", "Resource (disambiguation)", "Operations research", "Mathematical optimization" ], "cited_by_openalex": 35, "cited_by_scopus": "27", "eid": "2-s2.0-85129411135", "pii": null, "open_access_url": "https://www.mdpi.com/2071-1050/14/8/4651/pdf?version=1649848456", "sources": [ { "db": "openalex", "stream": "UAV", "query_id": "UAV-2" }, { "db": "scopus", "stream": "UAV", "query_id": "UAV-2" } ], "streams": [ "UAV" ], "relevance_signals": [ "UAV_NO_CTX" ], "auto_exclude_reason": "EC-4-topic", "screening_status": "auto_excluded", "screened_by": "auto-v1.0.0" }, { "id": "doi:10.3390/drones6120387", "doi": "10.3390/drones6120387", "title": "A Framework to Develop Urban Aerial Networks by Using a Digital Twin Approach", "year": 2022, "authors": [ "Matteo Brunelli", "Chiara Caterina Ditta", "Maria Nadia Postorino" ], "first_author": "Matteo Brunelli", "venue": "Drones", "volume": "6", "pages": null, "type": "article", "language": "en", "abstract": "The new concept of Urban Air Mobility (UAM) and the emergent unmanned aerial vehicles are receiving more and more attention by several stakeholders for implementing new transport solutions. However, there are several issues to solve in order to implement successful UAM systems. Particularly, setting a suitable framework is central for including this new transportation system into the existing ones—both ground and aerial systems. Regulation and definition of aerial networks, but also the characterization of ground facilities (vertiports) to allow passengers and freight to access the services are among the most relevant issues to be discussed. To identify UAM transportation networks, suitably connected with ground transportation services, digital twin models could be adopted to support the modelling and simulation of existing—and expected—scenarios with constantly updated data for identifying solutions addressing the design and management of transport systems. In this perspective, a digital twin model applied to an existing urban context—the city of Bologna, in northern Italy—is presented in combination with a novel air transport network that includes the third dimension. The 3D Urban Air Network tries to satisfy the principle of linking origin/destination points by ensuring safe aerial paths and suitable aerial vehicle separations. It involves innovative dynamic links powered by a heuristic cost function. This work provides the initial framework to explore the integration of UAM services into realistic contexts, by avoiding the costs associated with flight simulations in reality. Moreover, it can be used for holistic analyses of UAM systems.", "keywords": [ "Context (archaeology)", "Computer science", "Heuristic", "Transport engineering", "Function (biology)", "Street network", "Dimension (graph theory)", "Drone", "Systems engineering", "Engineering", "Geography" ], "cited_by_openalex": 29, "cited_by_scopus": "27", "eid": "2-s2.0-85144668563", "pii": null, "open_access_url": "https://www.mdpi.com/2504-446X/6/12/387/pdf?version=1669720890", "sources": [ { "db": "openalex", "stream": "UAV", "query_id": "UAV-3" }, { "db": "scopus", "stream": "UAV", "query_id": "UAV-3" } ], "streams": [ "UAV" ], "relevance_signals": [ "UAV_NO_CTX" ], "auto_exclude_reason": "EC-4-topic", "screening_status": "auto_excluded", "screened_by": "auto-v1.0.0" }, { "id": "doi:10.5267/j.ijiec.2022.9.002", "doi": "10.5267/j.ijiec.2022.9.002", "title": "Half-open time-dependent multi-depot electric vehicle routing problem considering battery recharging and swapping", "year": 2022, "authors": [ "Lijun Fan", "Liu Changshi", "Wu Zhang" ], "first_author": "Lijun Fan", "venue": "International Journal of Industrial Engineering Computations", "volume": "14", "pages": "129-146", "type": "article", "language": "en", "abstract": "In order to promote green and sustainable development of the transportation industry, an increasing number of logistics companies have begun to deploy electric vehicles (EVs) to provide urban distribution services. This paper studies a Half-Open Time-Dependent Multi-Depot Electric Vehicle Routing Problem Considering Battery Recharging and Swapping (HOTDMDEVRPBRS) in last-mile delivery. Based on the calculation functions of EV energy consumption, travel time, and carbon emissions under the time-dependent road network, a mixed integer programming model is formulated. The goal of the model is to minimize the economic cost and environmental cost of logistics companies. Given the complexity of the problem, this paper designs a multi-objective simulated annealing algorithm (SAA). Finally, this paper carries out comprehensive computational experiments to verify and evaluate the performance of the proposed model and method and examines the economic and environmental benefits brought by the Half-Open Joint Distribution Mode (HOJDM). According to the results, SAA shows good performance and provides a high-quality solution. Meanwhile, the HOJDM significantly reduces the total cost and carbon emissions of logistics enterprises and provides valuable suggestions for enterprise managers and government decision-makers.", "keywords": [ "Simulated annealing", "Electric vehicle", "Vehicle routing problem", "Battery (electricity)", "Transport engineering", "Environmental economics", "Integer programming", "Green logistics", "Total cost", "Operations research", "Sustainable development", "Computer science" ], "cited_by_openalex": 17, "cited_by_scopus": "26", "eid": "2-s2.0-85142448280", "pii": null, "open_access_url": "https://doi.org/10.5267/j.ijiec.2022.9.002", "sources": [ { "db": "openalex", "stream": "TRUCK", "query_id": "TRUCK-2" }, { "db": "scopus", "stream": "TRUCK", "query_id": "TRUCK-2" } ], "streams": [ "TRUCK" ], "relevance_signals": [ "NO_TECHNOLOGY_MATCH" ], "auto_exclude_reason": "EC-4-topic", "screening_status": "auto_excluded", "screened_by": "auto-v1.0.0" }, { "id": "doi:10.1287/trsc.2022.1183", "doi": "10.1287/trsc.2022.1183", "title": "Machine Learning–Based Feasibility Checks for Dynamic Time Slot Management", "year": 2022, "authors": [ "Liana van der Hagen", "Niels A.H. Agatz", "Remy Spliet", "Thomas R. Visser", "Leendert Kok" ], "first_author": "Liana van der Hagen", "venue": "Transportation Science", "volume": null, "pages": null, "type": "article", "language": "en", "abstract": "Online grocers typically let customers choose a delivery time slot to receive their goods. To ensure reliable service, the retailer may want to close time slots as capacity fills up. The number of customers that can be served per slot largely depends on the specific order sizes and delivery locations. Conceptually, checking whether it is possible to serve a certain customer in a certain time slot given a set of already accepted customer orders involves solving a vehicle routing problem with time windows. This is challenging in practice as there is little time available and not all relevant information is known in advance. We explore the use of machine learning to support time slot decisions in this context. Our results on realistic instances using a commercial route solver suggest that machine learning can be a promising way to assess the feasibility of customer insertions. On large-scale routing problems it performs better than insertion heuristics. History: This paper has been accepted for the Transportation Science Special Issue on Machine Learning Methods and Applications in Large-Scale Route Planning Problems. Funding: This research was funded by the Netherlands Organization for Scientific Research under the City Logistics Living Laboratory project [Grant 439.18.424].", "keywords": [ "Heuristics", "Computer science", "Routing (electronic design automation)", "Solver", "Set (abstract data type)", "Vehicle routing problem", "Context (archaeology)", "Service (business)", "Operations research", "Scale (ratio)", "Computer network", "Engineering" ], "cited_by_openalex": 26, "cited_by_scopus": 0, "eid": null, "pii": null, "open_access_url": "https://pure.eur.nl/en/publications/9a90a1a2-fbbe-471c-a876-94931329e952", "sources": [ { "db": "openalex", "stream": "TRUCK", "query_id": "TRUCK-2" } ], "streams": [ "TRUCK" ], "relevance_signals": [ "NO_TECHNOLOGY_MATCH" ], "auto_exclude_reason": "EC-4-topic", "screening_status": "auto_excluded", "screened_by": "auto-v1.0.0" }, { "id": "doi:10.1016/j.trpro.2022.02.012", "doi": "10.1016/j.trpro.2022.02.012", "title": "Comparing home and parcel lockers’ delivery systems: a math-heuristic approach", "year": 2022, "authors": [ "Pasquale Carotenuto", "Riccardo Ceccato", "Massimiliano Gastaldi", "Stefano Giordani", "Riccardo Rossi", "Alessio Salvatore" ], "first_author": "Pasquale Carotenuto", "venue": "Transportation research procedia", "volume": "62", "pages": "91-98", "type": "article", "language": "en", "abstract": "E-commerce is a continuously growing sector worldwide, with important repercussions on the delivery system in urban areas and especially in the Business to Consumer (B2C) sector. The delivery of a package to a consumer’s address involves not only high costs for couriers (greater number of kilometres travelled), but also increased congestion and greater environmental pollution (greater volume of pollutants released into the air). To rationalize deliveries in urban areas the use of collection points, equipped with lockers, to store the goods that users have ordered has been considered in literature. This work compares two alternative delivery options: deliveries to the consumer’s home versus to Lockers. To make this comparison we used a cluster first route second math-heuristic approach. In the clustering phase, we experimented a new clustering function, while the routing phase consists in solving an instance of the Traveling Salesman Problem for each generated cluster. Finally, we applied the math-heuristic to a real case (the Italian municipality of Dolo near Venice) and compared the two delivery alternatives. We evaluate the performance considering two different fleets of vehicles, with small and medium capacity. In addition, since additional trips might be performed by consumers to pick up parcels at Lockers, a sensitivity analysis was carried out to analyse the sustainability of the proposed city logistics scheme.", "keywords": [ "Cluster analysis", "Heuristic", "Vehicle routing problem", "Computer science", "Sustainability", "City logistics", "Subsidy", "Cluster (spacecraft)", "Transport engineering", "Travelling salesman problem", "Operations research", "Business" ], "cited_by_openalex": 24, "cited_by_scopus": "26", "eid": "2-s2.0-85127465377", "pii": "S2352146522001399", "open_access_url": "https://www.sciencedirect.com/science/article/pii/S2352146522001399/pdf", "sources": [ { "db": "openalex", "stream": "TRUCK", "query_id": "TRUCK-2" }, { "db": "scopus", "stream": "TRUCK", "query_id": "TRUCK-2" } ], "streams": [ "TRUCK" ], "relevance_signals": [ "NO_TECHNOLOGY_MATCH" ], "auto_exclude_reason": "EC-4-topic", "screening_status": "auto_excluded", "screened_by": "auto-v1.0.0" }, { "id": "doi:10.1016/j.asoc.2022.109657", "doi": "10.1016/j.asoc.2022.109657", "title": "Adaptive mutant particle swarm optimization based precise cargo airdrop of unmanned aerial vehicles", "year": 2022, "authors": [ "An Zhang", "Han Xu", "Wenhao Bi", "Shuangfei Xu" ], "first_author": "An Zhang", "venue": "Applied Soft Computing", "volume": "130", "pages": null, "type": "article", "language": "en", "abstract": null, "keywords": [ "Particle swarm optimization", "Computer science", "Differential evolution", "Position (finance)", "Premature convergence", "Flexibility (engineering)", "Convergence (economics)", "Process (computing)", "Control theory (sociology)", "Algorithm", "Mathematics", "Artificial intelligence" ], "cited_by_openalex": 25, "cited_by_scopus": "26", "eid": "2-s2.0-85139438398", "pii": "S1568494622007062", "open_access_url": "https://doi.org/10.1016/j.asoc.2022.109657", "sources": [ { "db": "openalex", "stream": "UAV", "query_id": "UAV-1" }, { "db": "scopus", "stream": "UAV", "query_id": "UAV-1" } ], "streams": [ "UAV" ], "relevance_signals": [ "UAV_NO_CTX" ], "auto_exclude_reason": "EC-4-topic", "screening_status": "auto_excluded", "screened_by": "auto-v1.0.0" }, { "id": "doi:10.1109/cdc51059.2022.9993358", "doi": "10.1109/cdc51059.2022.9993358", "title": "Risk-aware UAV-UGV Rendezvous with Chance-Constrained Markov Decision Process", "year": 2022, "authors": [ "Guangyao Shi", "Nare Karapetyan", "Ahmad Bilal Asghar", "Jean-Paul Reddinger", "James M. Dotterweich", "James D. Humann", "Pratap Tokekar" ], "first_author": "Guangyao Shi", "venue": "2022 IEEE 61st Conference on Decision and Control (CDC)", "volume": "2022-December", "pages": "180-187", "type": "conference-paper", "language": "en", "abstract": "We study a chance-constrained variant of the cooperative aerial-ground vehicle routing problem, in which an Unmanned Aerial Vehicle (UAV) with limited battery capacity and an Unmanned Ground Vehicle (UGV) that can also act as a mobile recharging station need to jointly accomplish a mission such as monitoring a set of points. Due to the limited battery capacity of the UAV, two vehicles sometimes have to deviate from their task to rendezvous and recharge the UAV. Unlike prior work that has focused on the deterministic case, we address the challenge of stochastic energy consumption of the UAV. We are interested in finding the optimal policy that decides when and where to rendezvous such that the expected travel time of the UAV is minimized and the probability of running out of charge is less than a user-defined tolerance. We formulate this problem as a Chance Constrained Markov Decision Process (CCMDP), which can be equivalently transformed into a Constrained Markov Decision Process (CMDP). To the best knowledge of the authors, this is the first CMDP-based formulation for the UAVUGV routing problems under power consumption uncertainty. We adopt a Linear Programming (LP) based approach to solve the problem optimally. We demonstrate the effectiveness of our formulation in the context of an Intelligence Surveillance and Reconnaissance (ISR) mission.", "keywords": [ "Markov decision process", "Rendezvous", "Computer science", "Partially observable Markov decision process", "Markov process", "Routing (electronic design automation)", "Context (archaeology)", "Vehicle dynamics", "Reinforcement learning", "Mathematical optimization", "Process (computing)", "Task (project management)" ], "cited_by_openalex": 26, "cited_by_scopus": "26", "eid": "2-s2.0-85140977586", "pii": null, "open_access_url": "https://doi.org/10.1109/cdc51059.2022.9993358", "sources": [ { "db": "openalex", "stream": "UAV", "query_id": "UAV-2" }, { "db": "scopus", "stream": "UAV", "query_id": "UAV-2" } ], "streams": [ "UAV" ], "relevance_signals": [ "UAV_NO_CTX" ], "auto_exclude_reason": "EC-4-topic", "screening_status": "auto_excluded", "screened_by": "auto-v1.0.0" }, { "id": "doi:10.1016/j.trd.2022.103398", "doi": "10.1016/j.trd.2022.103398", "title": "Complete LCA of battery electric and conventional fuel vehicles for freight trips", "year": 2022, "authors": [ "Middela M.S." ], "first_author": "Middela M.S.", "venue": "Transportation Research Part D Transport and Environment", "volume": "110", "pages": null, "type": "Article", "language": null, "abstract": null, "keywords": [], "cited_by_openalex": 0, "cited_by_scopus": "26", "eid": "2-s2.0-85135714013", "pii": "S1361920922002255", "open_access_url": null, "sources": [ { "db": "scopus", "stream": "TRUCK", "query_id": "TRUCK-1" } ], "streams": [ "TRUCK" ], "relevance_signals": [ "NO_TECHNOLOGY_MATCH" ], "auto_exclude_reason": "EC-4-topic", "screening_status": "auto_excluded", "screened_by": "auto-v1.0.0" }, { "id": "doi:10.1287/trsc.2022.1142", "doi": "10.1287/trsc.2022.1142", "title": "Impact of Autonomous Vehicle Assisted Last-Mile Delivery in Urban to Rural Settings", "year": 2022, "authors": [ "Reed S." ], "first_author": "Reed S.", "venue": "Transportation Science", "volume": "56", "pages": "1530-1548", "type": "Article", "language": null, "abstract": null, "keywords": [], "cited_by_openalex": 0, "cited_by_scopus": "26", "eid": "2-s2.0-85143877894", "pii": null, "open_access_url": null, "sources": [ { "db": "scopus", "stream": "TRUCK", "query_id": "TRUCK-2" } ], "streams": [ "TRUCK" ], "relevance_signals": [ "NO_TECHNOLOGY_MATCH" ], "auto_exclude_reason": "EC-4-topic", "screening_status": "auto_excluded", "screened_by": "auto-v1.0.0" }, { "id": "doi:10.1016/j.tre.2021.102554", "doi": "10.1016/j.tre.2021.102554", "title": "Stochastic fleet mix optimization: Evaluating electromobility in urban logistics", "year": 2022, "authors": [ "Malladi S.S." ], "first_author": "Malladi S.S.", "venue": "Transportation Research Part E Logistics and Transportation Review", "volume": "158", "pages": null, "type": "Article", "language": null, "abstract": null, "keywords": [], "cited_by_openalex": 0, "cited_by_scopus": "26", "eid": "2-s2.0-85123258130", "pii": "S1366554521003124", "open_access_url": null, "sources": [ { "db": "scopus", "stream": "TRUCK", "query_id": "TRUCK-2" } ], "streams": [ "TRUCK" ], "relevance_signals": [ "NO_TECHNOLOGY_MATCH" ], "auto_exclude_reason": "EC-4-topic", "screening_status": "auto_excluded", "screened_by": "auto-v1.0.0" }, { "id": "doi:10.1016/j.trb.2022.10.011", "doi": "10.1016/j.trb.2022.10.011", "title": "Rich arc routing problem in city logistics: Models and solution algorithms using a fluid queue-based time-dependent travel time representation", "year": 2022, "authors": [ "Jiawei Lu", "Qinghui Nie", "Monirehalsadat Mahmoudi", "Jishun Ou", "Chongnan Li", "Xuesong Simon Zhou" ], "first_author": "Jiawei Lu", "venue": "Transportation Research Part B Methodological", "volume": "166", "pages": "143-182", "type": "article", "language": "en", "abstract": null, "keywords": [ "Queue", "Arc routing", "Representation (politics)", "Arc (geometry)", "Computer science", "Algorithm", "Routing (electronic design automation)", "Mathematics", "Computer network", "Geometry" ], "cited_by_openalex": 25, "cited_by_scopus": "25", "eid": "2-s2.0-85141325970", "pii": "S0191261522001709", "open_access_url": "https://doi.org/10.1016/j.trb.2022.10.011", "sources": [ { "db": "openalex", "stream": "TRUCK", "query_id": "TRUCK-1" }, { "db": "openalex", "stream": "TRUCK", "query_id": "TRUCK-2" }, { "db": "scopus", "stream": "TRUCK", "query_id": "TRUCK-1" }, { "db": "scopus", "stream": "TRUCK", "query_id": "TRUCK-2" } ], "streams": [ "TRUCK" ], "relevance_signals": [ "NO_TECHNOLOGY_MATCH" ], "auto_exclude_reason": "EC-4-topic", "screening_status": "auto_excluded", "screened_by": "auto-v1.0.0" }, { "id": "doi:10.1126/scirobotics.adf5798", "doi": "10.1126/scirobotics.adf5798", "title": "Testing the delivery of human organ transportation with drones in the real world", "year": 2022, "authors": [ "Andrew T. Sage", "Marcelo Cypel", "Mikaël Cardinal", "Jimmy Qiu", "Atul Humar", "Shaf H Keshavjee" ], "first_author": "Andrew T. Sage", "venue": "Science Robotics", "volume": "7", "pages": null, "type": "article", "language": "en", "abstract": "Last-mile transportation of human donor lungs in a densely populated urban environment has been made possible with drones.", "keywords": [ "Drone", "Aeronautics", "Computer science", "Engineering", "Biology" ], "cited_by_openalex": 24, "cited_by_scopus": "25", "eid": "2-s2.0-85144592604", "pii": null, "open_access_url": "https://doi.org/10.1126/scirobotics.adf5798", "sources": [ { "db": "openalex", "stream": "UAV", "query_id": "UAV-1" }, { "db": "scopus", "stream": "UAV", "query_id": "UAV-1" } ], "streams": [ "UAV" ], "relevance_signals": [ "UAV" ], "auto_exclude_reason": null, "screening_status": "pending_human_screening", "screened_by": "auto-v1.0.0" }, { "id": "doi:10.1109/dasc55683.2022.9925753", "doi": "10.1109/dasc55683.2022.9925753", "title": "Demand Capacity Balancing at Vertiports for Initial Strategic Conflict Management of Urban Air Mobility Operations", "year": 2022, "authors": [ "Hanbong Lee", "Kushal A. Moolchandani", "Heather M. Arneson" ], "first_author": "Hanbong Lee", "venue": "2022 IEEE/AIAA 41st Digital Avionics Systems Conference (DASC)", "volume": "2022-September", "pages": null, "type": "conference-paper", "language": "en", "abstract": "Demand Capacity Balancing (DCB) can be applied in strategic conflict management for safe Urban Air Mobility (UAM) operations. Even when the operational tempo is low, traffic demand can locally exceed the capacity at airspace resources like vertiports. This paper proposes a DCB algorithm to manage the UAM traffic demand strategically, given the capacity at vertiports. The DCB algorithm is evaluated with traffic scenarios at Dallas/Fort Worth urban area in terms of various metrics such as demand distribution changes, pre- departure delay, and the number of simultaneous operations in the air. With the same experiment setup, more extended studies are also conducted to investigate how the UAM flight scheduling based on the DCB algorithm is affected by various conditions that can occur in a practical UAM environment, including vertiport capacity changes, a slot size parameter in capacity constraint, differences in operational policy between operators like lead time for flight plan submission and cruise flight speed, and uncertainties in actual departure and arrival times.", "keywords": [ "Capacity management", "Cruise", "Scheduling (production processes)", "Air traffic control", "Computer science", "Constraint (computer-aided design)", "Operations research", "Plan (archaeology)", "Transport engineering", "Operations management", "Engineering", "Aerospace engineering" ], "cited_by_openalex": 13, "cited_by_scopus": "25", "eid": "2-s2.0-85141937189", "pii": null, "open_access_url": "https://doi.org/10.1109/dasc55683.2022.9925753", "sources": [ { "db": "openalex", "stream": "UAV", "query_id": "UAV-3" }, { "db": "scopus", "stream": "UAV", "query_id": "UAV-3" } ], "streams": [ "UAV" ], "relevance_signals": [ "UAV_NO_CTX" ], "auto_exclude_reason": "EC-4-topic", "screening_status": "auto_excluded", "screened_by": "auto-v1.0.0" }, { "id": "doi:10.1177/03611981211044462", "doi": "10.1177/03611981211044462", "title": "Modeling Freight Vehicle Type Choice using Machine Learning and Discrete Choice Methods", "year": 2022, "authors": [ "Ahmed U." ], "first_author": "Ahmed U.", "venue": "Transportation Research Record", "volume": "2676", "pages": "541-552", "type": "Article", "language": null, "abstract": null, "keywords": [], "cited_by_openalex": 0, "cited_by_scopus": "25", "eid": "2-s2.0-85125555434", "pii": null, "open_access_url": null, "sources": [ { "db": "scopus", "stream": "TRUCK", "query_id": "TRUCK-1" } ], "streams": [ "TRUCK" ], "relevance_signals": [ "TRUCK_NO_CTX" ], "auto_exclude_reason": "EC-4-topic", "screening_status": "auto_excluded", "screened_by": "auto-v1.0.0" }, { "id": "doi:10.1016/j.apenergy.2021.118388", "doi": "10.1016/j.apenergy.2021.118388", "title": "Optimization and evaluation for autonomous taxi ride-sharing schedule and depot location from the perspective of energy consumption", "year": 2022, "authors": [ "Dai R." ], "first_author": "Dai R.", "venue": "Applied Energy", "volume": "308", "pages": null, "type": "Article", "language": null, "abstract": null, "keywords": [], "cited_by_openalex": 0, "cited_by_scopus": "25", "eid": "2-s2.0-85121816994", "pii": "S0306261921016263", "open_access_url": null, "sources": [ { "db": "scopus", "stream": "UAV", "query_id": "UAV-2" } ], "streams": [ "UAV" ], "relevance_signals": [ "NO_TECHNOLOGY_MATCH" ], "auto_exclude_reason": "EC-4-topic", "screening_status": "auto_excluded", "screened_by": "auto-v1.0.0" }, { "id": "doi:10.1016/j.procs.2022.01.339", "doi": "10.1016/j.procs.2022.01.339", "title": "A novel mathematical approach for the Truck-and-Drone Location-Routing Problem", "year": 2022, "authors": [ "Laura Castro Montaña", "Laura Malagón-Alvarado", "Paola Andrea Miranda", "Mateo Montealegre Arboleda", "Elyn Lizeth Solano Charris", "Carlos Alberto Vega-Mejía" ], "first_author": "Laura Castro Montaña", "venue": "Procedia Computer Science", "volume": "200", "pages": "1378-1391", "type": "conference-paper", "language": "en", "abstract": "During the last decade, e-commerce has increased last-mile deliveries, impacting the (CO2) emissions footprint. Considering this environmental impact, sustainable technologies have emerged for transport operations, e.g., drones and electric vehicles. This paper deals with the Location-Routing Problem for delivering orders to a set of customers. The problem aims to minimize the total CO2 emissions due to freight transportation in last-mile deliveries with Trucks-and-Drones. A mathematical model is proposed for solving the problem. We test the model in different scenarios varying the number of clients (between 10 and 25), the number of trucks and drones (between 4 and 12 and between 5 and 13, respectively), and the available depots (i.e., between 5 and 15 parking lots). Our results provide insights on how shifting to cleaner transportation technologies can aid in the reduction of the carbon footprint of distribution activities and present a preamble of the significant impact that UAVs have in parcel delivery routing problems.", "keywords": [ "Drone", "Truck", "Computer science", "Carbon footprint", "Routing (electronic design automation)", "Vehicle routing problem", "Last mile (transportation)", "Operations research", "Transport engineering", "Footprint", "Mile", "Greenhouse gas" ], "cited_by_openalex": 23, "cited_by_scopus": "24", "eid": "2-s2.0-85127753782", "pii": "S1877050922003489", "open_access_url": "https://www.sciencedirect.com/science/article/pii/S1877050922003489/pdf", "sources": [ { "db": "openalex", "stream": "TRUCK", "query_id": "TRUCK-1" }, { "db": "openalex", "stream": "TRUCK", "query_id": "TRUCK-3" }, { "db": "openalex", "stream": "UAV", "query_id": "UAV-1" }, { "db": "openalex", "stream": "UAV", "query_id": "UAV-2" }, { "db": "scopus", "stream": "TRUCK", "query_id": "TRUCK-1" }, { "db": "scopus", "stream": "TRUCK", "query_id": "TRUCK-3" }, { "db": "scopus", "stream": "UAV", "query_id": "UAV-1" }, { "db": "scopus", "stream": "UAV", "query_id": "UAV-2" } ], "streams": [ "TRUCK", "UAV" ], "relevance_signals": [ "UAV", "TRUCK" ], "auto_exclude_reason": null, "screening_status": "pending_human_screening", "screened_by": "auto-v1.0.0" }, { "id": "doi:10.1016/j.segan.2022.100836", "doi": "10.1016/j.segan.2022.100836", "title": "Utilization of dynamic wireless power transfer technology in multi-depot, multi-product delivery supply chain", "year": 2022, "authors": [ "Arman Fathollahi", "Sayed Yaser Derakhshandeh", "Ali Ghiasian", "Mohammad Hassan Khooban" ], "first_author": "Arman Fathollahi", "venue": "Sustainable Energy Grids and Networks", "volume": "32", "pages": null, "type": "article", "language": "en", "abstract": null, "keywords": [ "Depot", "Wireless power transfer", "Supply chain", "Wireless", "Product (mathematics)", "Chain (unit)", "Power (physics)", "Engineering", "Telecommunications", "Business", "Physics", "Marketing" ], "cited_by_openalex": 24, "cited_by_scopus": "24", "eid": "2-s2.0-85135406433", "pii": "S2352467722001217", "open_access_url": "https://doi.org/10.1016/j.segan.2022.100836", "sources": [ { "db": "openalex", "stream": "TRUCK", "query_id": "TRUCK-3" }, { "db": "scopus", "stream": "TRUCK", "query_id": "TRUCK-3" } ], "streams": [ "TRUCK" ], "relevance_signals": [ "NO_TECHNOLOGY_MATCH" ], "auto_exclude_reason": "EC-4-topic", "screening_status": "auto_excluded", "screened_by": "auto-v1.0.0" }, { "id": "doi:10.3390/su14158976", "doi": "10.3390/su14158976", "title": "Mode Choice Modeling for Sustainable Last-Mile Delivery: The Greek Perspective", "year": 2022, "authors": [ "Amalia Polydoropoulou", "Athena Tsirimpa", "Ioannis D. Karakikes", "Ioannis Tsouros", "Ioanna Pagoni" ], "first_author": "Amalia Polydoropoulou", "venue": "Sustainability", "volume": "14", "pages": null, "type": "article", "language": "en", "abstract": "As the private sector is under heavy pressure to serve the ever-growing e-commerce market, the potential of implementing new disruptive mobility/logistics services for increasing the level of the current last-mile delivery (LMD) services, is emerging. Vehicle automation technology, characterized by high-capacity utilization and asset intensity, appears to be a prominent response to easing this pressure, while contributing to mitigation of the adverse effects associated with the deployment of LMD activities. This research studied the perceptions of Greek end-users/consumers, regarding the introduction of autonomous/automated/driverless vehicles (AVs) in innovative delivery services. To achieve this, a mixed logit model was developed, based on a Stated Preferences (SP) experiment, designed to capture the demand of alternative last-mile delivery modes/services, such as drones, pods, and autonomous vans, compared to traditional delivery services. The results show that the traditional delivery, i.e., having a dedicated delivery person who picks up the parcels at a consolidation point and delivers them directly to the recipients while driving a non-autonomous vehicle—conventional van, bike, e-bike, e-scooter—remains the most acceptable delivery method. Moreover, the analysis indicated that there is no interest yet in deploying home deliveries with drones or AVs, and that participants are unwilling to pay extra charges for having access to more advanced last-mile delivery modes/services. Thus, it is important to promote the benefits of innovative modes and services for LMD, in order to increase public awareness and receptivity in Greece.", "keywords": [ "Last mile (transportation)", "Business", "Service delivery framework", "Mile", "Software deployment", "Mixed logit", "Transport engineering", "Service (business)", "Environmental economics", "Marketing", "Engineering", "Computer science" ], "cited_by_openalex": 26, "cited_by_scopus": "24", "eid": "2-s2.0-85137251585", "pii": null, "open_access_url": "https://www.mdpi.com/2071-1050/14/15/8976/pdf?version=1658475846", "sources": [ { "db": "openalex", "stream": "UAV", "query_id": "UAV-1" }, { "db": "scopus", "stream": "UAV", "query_id": "UAV-1" } ], "streams": [ "UAV" ], "relevance_signals": [ "UAV" ], "auto_exclude_reason": null, "screening_status": "pending_human_screening", "screened_by": "auto-v1.0.0" }, { "id": "doi:10.1109/icuas54217.2022.9836044", "doi": "10.1109/icuas54217.2022.9836044", "title": "Heterogenous vehicle routing: comparing parameter tuning using genetic algorithm and bayesian optimization", "year": 2022, "authors": [ "Subramanian Ramasamy", "Md Safwan Mondal", "Jean-Paul Reddinger", "James M. Dotterweich", "James D. Humann", "Marshal Childers", "Pranav A. Bhounsule" ], "first_author": "Subramanian Ramasamy", "venue": "2022 International Conference on Unmanned Aircraft Systems (ICUAS)", "volume": null, "pages": "104-113", "type": "conference-paper", "language": "en", "abstract": "Heterogeneous vehicles (e.g., unmanned ground vehicle (UGV) and unmanned aerial vehicle (UAV)) are best suited for surveillance application over large areas. UAVs are fast, but fuel limited, while, UGVs have a larger fuel capacity, but are relatively slow. When UAVs are combined with UGVs they can provide larger coverage at a relatively fast speed. The UAV may also be recharged on the UGV as needed. The resulting route optimization problem is computationally complex, but may be solved relatively fast using heuristics. In this paper, we solve for a mission route using a two-level optimization; (1) the UGV route is assigned using heuristics with free parameters, (2) the UAV route is solved using a vehicle routing problem formulation with capacity constraints, time windows, and dropped visits. However, this open-loop two-level optimization may yield non-optimal solutions or fail completely because of poor choice of UGV parameters. Our primary objective is to explore closed loop optimization where the free parameters of the UGV routes are optimized using Bayesian optimization and Genetic algorithms. Our results show that both methods produce good quality solutions, but bayesian optimization is computationally more efficient than genetic algorithm.", "keywords": [ "Bayesian optimization", "Unmanned ground vehicle", "Heuristics", "Computer science", "Genetic algorithm", "Vehicle routing problem", "Mathematical optimization", "Routing (electronic design automation)", "Optimization problem", "Algorithm", "Real-time computing", "Artificial intelligence" ], "cited_by_openalex": 18, "cited_by_scopus": "24", "eid": "2-s2.0-85136090286", "pii": null, "open_access_url": "https://doi.org/10.1109/icuas54217.2022.9836044", "sources": [ { "db": "openalex", "stream": "UAV", "query_id": "UAV-2" }, { "db": "scopus", "stream": "UAV", "query_id": "UAV-2" } ], "streams": [ "UAV" ], "relevance_signals": [ "UAV_NO_CTX" ], "auto_exclude_reason": "EC-4-topic", "screening_status": "auto_excluded", "screened_by": "auto-v1.0.0" }, { "id": "doi:10.1016/j.cor.2022.106123", "doi": "10.1016/j.cor.2022.106123", "title": "Optimization of two-echelon last-mile delivery via cargo tunnel and a delivery person", "year": 2022, "authors": [ "Nils Boysen", "Dirk Briskorn", "Johannes Rupp" ], "first_author": "Nils Boysen", "venue": "Computers & Operations Research", "volume": "151", "pages": null, "type": "article", "language": "en", "abstract": "More and more people live in urban areas in general and in “megacities”, with 10 million inhabitants and more, in particular. One innovative instrument to reduce surface traffic and its negative impact on health, congestion, environment, and safety when supplying these urban inhabitants with goods is a cargo tunnel. Within the cargo tunnel concept, autonomous rail-bound, maglev, or automated guided vehicles deliver goods underground toward small inner-city hubs, from where the final leg toward customer homes can be executed with environmentally-friendly vehicles such as cargo bikes or electric vans. In addition to the huge investment costs for tunnel boring, this last-mile delivery option faces a challenging operational problem, which is the synchronization of goods arrivals at a capacity-restricted inner-city hub with the delivery tours. We formulate a basic two-echelon optimization problem that captures all main operational challenges of this synchronization task, derive suitable optimization procedures, and apply them in a computational study. The latter explores the interdependence between tunnel throughput, storage capacity at the hub, and vehicle capacity of the delivery person and their impact on delivery performance. An additional benchmark test with conventional truck-based deliveries shows that the reductions of carbon dioxide emissions promised by a cargo tunnel come for the price of excessive cargo bike traffic, especially if large urban regions are to be serviced from a micro hub.", "keywords": [ "Last mile (transportation)", "Truck", "Transport engineering", "Computer science", "Benchmark (surveying)", "Traffic congestion", "Mile", "Business", "Operations research", "Engineering", "Automotive engineering" ], "cited_by_openalex": 25, "cited_by_scopus": "23", "eid": "2-s2.0-85145577698", "pii": "S0305054822003537", "open_access_url": "https://doi.org/10.1016/j.cor.2022.106123", "sources": [ { "db": "openalex", "stream": "TRUCK", "query_id": "TRUCK-1" }, { "db": "scopus", "stream": "TRUCK", "query_id": "TRUCK-1" } ], "streams": [ "TRUCK" ], "relevance_signals": [ "TRUCK" ], "auto_exclude_reason": null, "screening_status": "pending_human_screening", "screened_by": "auto-v1.0.0" }, { "id": "doi:10.3390/wevj13010020", "doi": "10.3390/wevj13010020", "title": "Optimization and Analysis of Electric Vehicle Operation with Fast-Charging Technologies", "year": 2022, "authors": [ "Mohammed Al-Saadi", "Manuel Mathes", "Johannes Käsgen", "Koffrie Robert", "Matthias Mayrock", "Joeri Van Mierlo", "Maitane Berecibar" ], "first_author": "Mohammed Al-Saadi", "venue": "World Electric Vehicle Journal", "volume": "13", "pages": null, "type": "article", "language": "en", "abstract": "This work presents three demos, which include Electric Buses (EBs) from four various brands with lengths of 12 m and 18 m and an Electric Truck (E-truck) for refuse collection. The technical operation of these EVs were analyzed to implement further operational cost optimization on the demo vehicles. The Electric Vehicles (EVs) were tested against superfast-charging solutions based on Pantograph (Type A & Type B) on the route lines (and depots) and based on Combined Charging System Type 2 (CCS2, Combo2) from various brands to validate the interoperability among several vendors and support further EV integration with more affordable solutions. The optimization includes the calculation of the EBs’ consumption at various seasons and under various operating conditions in order to use optimum battery system design, heating system, optimum EB fleet operation and size and to find the charging solutions properly. The results showed that the EB consumption increases in some cases by 64.5% in wintertime due to heating systems, and the consumption in urban areas is more than that on the route lines outside cities. In the E-truck demo, where the electric heater was replaced with a heat-pump to optimize the energy consumption, it was found that the consumption of the heat-pump is about half of the electric heater under certain operating conditions. Under strict EB schedule, Pantograph charging solutions with power ratings of 300–600 kW have been adopted to charge the batteries of the EBs within 4–10 min. In order to minimize the cumulative costs of energy, (pantograph) charging infrastructure depreciation and battery degradation, as well as depot charging (at the bus operator’s depot), was adopted with a power level of 50–350 kW based on CCS2 and pantograph.", "keywords": [ "Automotive engineering", "Truck", "Schedule", "Energy consumption", "Electric energy consumption", "Battery (electricity)", "Computer science", "Pantograph", "Environmental science", "Engineering", "Electrical engineering", "Power (physics)" ], "cited_by_openalex": 22, "cited_by_scopus": "23", "eid": "2-s2.0-85123529879", "pii": null, "open_access_url": "https://www.mdpi.com/2032-6653/13/1/20/pdf?version=1642510650", "sources": [ { "db": "openalex", "stream": "TRUCK", "query_id": "TRUCK-3" }, { "db": "scopus", "stream": "TRUCK", "query_id": "TRUCK-3" } ], "streams": [ "TRUCK" ], "relevance_signals": [ "TRUCK_NO_CTX" ], "auto_exclude_reason": "EC-4-topic", "screening_status": "auto_excluded", "screened_by": "auto-v1.0.0" }, { "id": "doi:10.1109/dasc55683.2022.9925834", "doi": "10.1109/dasc55683.2022.9925834", "title": "The High Density Vertiplex Advanced Onboard Automation Overview", "year": 2022, "authors": [ "Louis J. Glaab", "Marcus A. Johnson", "Robert G. McSwain", "Steven C. Geuther", "Quang V. Dao", "Jeffrey R. Homola" ], "first_author": "Louis J. Glaab", "venue": "2022 IEEE/AIAA 41st Digital Avionics Systems Conference (DASC)", "volume": "2022-September", "pages": null, "type": "conference-paper", "language": "en", "abstract": "While many studies have been performed examining Urban Air Mobility (UAM) operations from UAM Maturity Level (UML) UML-1 to UML-4, [1], [2] some uncertainty exists regarding the integration and role of onboard autonomous systems, airspace management systems, ground control and fleet management systems, and how they integrate with vertiport automation systems to ensure safe high-density future operations. One thrust of the Advanced Air Mobility (AAM) High Density Vertiplex (HDV) sub-project is to perform rapid prototyping and assessment of an Urban Air Mobility (UAM) Ecosystem within the terminal operational area to help inform future research investments and technology development. Another thrust within HDV is to perform integration, testing, and safety risk assessments required to acquire operational credit for several NASA small Unmanned Aerial Systems (sUAS) beyond visual line of sight (BVLOS) enabling technologies to expand test capabilities and to expedite technology transfer and ultimate effective usage. Both thrusts leverage sUAS to serve as surrogates for the highly-technologically-similar envisioned UAM aircraft as well as to provide significant contributions to sUAS Part-135 operators. This report provides an overview of the activities accomplished within the Advanced Onboard Automation (AOA) schedule work package of HDV.", "keywords": [ "Automation", "Systems engineering", "Unified Modeling Language", "Computer science", "Schedule", "Leverage (statistics)", "Engineering", "Software", "Operating system" ], "cited_by_openalex": 22, "cited_by_scopus": "23", "eid": "2-s2.0-85141938510", "pii": null, "open_access_url": "https://doi.org/10.1109/dasc55683.2022.9925834", "sources": [ { "db": "openalex", "stream": "UAV", "query_id": "UAV-3" }, { "db": "scopus", "stream": "UAV", "query_id": "UAV-3" } ], "streams": [ "UAV" ], "relevance_signals": [ "UAV_NO_CTX" ], "auto_exclude_reason": "EC-4-topic", "screening_status": "auto_excluded", "screened_by": "auto-v1.0.0" }, { "id": "doi:10.24200/sci.2021.58309.5664", "doi": "10.24200/sci.2021.58309.5664", "title": "Ground Vehicle and UAV Collaborative Routing and Scheduling for Humanitarian logistics using Random Walk Based Ant Colony Optimization", "year": 2022, "authors": [ "Bansal S." ], "first_author": "Bansal S.", "venue": "Scientia Iranica", "volume": "29", "pages": "632-644", "type": "Article", "language": null, "abstract": null, "keywords": [], "cited_by_openalex": 0, "cited_by_scopus": "23", "eid": "2-s2.0-85129319761", "pii": null, "open_access_url": null, "sources": [ { "db": "scopus", "stream": "TRUCK", "query_id": "TRUCK-1" }, { "db": "scopus", "stream": "UAV", "query_id": "UAV-1" } ], "streams": [ "TRUCK", "UAV" ], "relevance_signals": [ "UAV_NO_CTX" ], "auto_exclude_reason": "EC-4-topic", "screening_status": "auto_excluded", "screened_by": "auto-v1.0.0" }, { "id": "doi:10.1016/j.pmcj.2022.101700", "doi": "10.1016/j.pmcj.2022.101700", "title": "On the Scheduling of Conflictual Deliveries in a last-mile delivery scenario with truck-carried drones", "year": 2022, "authors": [ "Francesco Betti Sorbelli", "Federico Corò", "Sajal Kumar Das", "Lorenzo Palazzetti", "Cristina Maria Pinotti" ], "first_author": "Francesco Betti Sorbelli", "venue": "Pervasive and Mobile Computing", "volume": "87", "pages": null, "type": "article", "language": "en", "abstract": null, "keywords": [ "Computer science", "Drone", "Mile", "Truck", "Last mile (transportation)", "Scheduling (production processes)", "Operations management", "Automotive engineering" ], "cited_by_openalex": 27, "cited_by_scopus": "22", "eid": "2-s2.0-85140086107", "pii": "S1574119222001134", "open_access_url": "https://doi.org/10.1016/j.pmcj.2022.101700", "sources": [ { "db": "openalex", "stream": "TRUCK", "query_id": "TRUCK-1" }, { "db": "openalex", "stream": "TRUCK", "query_id": "TRUCK-3" }, { "db": "openalex", "stream": "UAV", "query_id": "UAV-1" }, { "db": "scopus", "stream": "TRUCK", "query_id": "TRUCK-1" }, { "db": "scopus", "stream": "TRUCK", "query_id": "TRUCK-3" }, { "db": "scopus", "stream": "UAV", "query_id": "UAV-1" } ], "streams": [ "TRUCK", "UAV" ], "relevance_signals": [ "UAV", "TRUCK" ], "auto_exclude_reason": null, "screening_status": "pending_human_screening", "screened_by": "auto-v1.0.0" }, { "id": "doi:10.1016/j.trip.2022.100539", "doi": "10.1016/j.trip.2022.100539", "title": "Introducing CRISTAL: A model of collaborative, informed, strategic trade agents with logistics", "year": 2022, "authors": [ "Monique A. Stinson", "Abolfazl Mohammadian" ], "first_author": "Monique A. Stinson", "venue": "Transportation Research Interdisciplinary Perspectives", "volume": "13", "pages": null, "type": "article", "language": "en", "abstract": "Freight transportation has major economic, energy, and sustainability impacts. As a result, forecasting tools for analyzing policy scenarios are critical. However, existing freight transportation modeling tools have major gaps, especially in agent representation, prediction of fleet and distribution center control, and strategic alignment of agent decisions. We address these gaps by developing a new architecture for freight transportation modeling called CRISTAL: Collaborative, Informed, Strategic Trade Agents with Logistics. CRISTAL is an agent-based model that includes both firms and establishments (establishments are members of firms). Agents collaborate to form supply chain partnerships in trade and logistics. An Effect of Information captures information sharing in the supply chain, providing a mechanism to operationalize the push–pull boundary, which occurs at the customer-order decoupling point. Agents form strategies then align subsequent decisions with these strategies. Our CRISTAL implementation is multi-resolution, with urban freight linked to national and global supply chains. It is integrated with passenger activity, including household e-commerce use and passenger traffic. The framework has been applied to study e-commerce and truck traffic. This paper summarizes the conceptual model, its initial implementation, and applications to date.", "keywords": [ "Supply chain", "Operationalization", "Traffic management", "Business", "Truck", "Industrial organization", "Order (exchange)", "Computer science", "Transport engineering", "Marketing", "Engineering", "Finance" ], "cited_by_openalex": 23, "cited_by_scopus": "22", "eid": "2-s2.0-85123202638", "pii": "S2590198222000033", "open_access_url": "https://www.sciencedirect.com/science/article/pii/S2590198222000033/pdf", "sources": [ { "db": "openalex", "stream": "TRUCK", "query_id": "TRUCK-1" }, { "db": "scopus", "stream": "TRUCK", "query_id": "TRUCK-1" } ], "streams": [ "TRUCK" ], "relevance_signals": [ "TRUCK" ], "auto_exclude_reason": null, "screening_status": "pending_human_screening", "screened_by": "auto-v1.0.0" }, { "id": "doi:10.1145/3491003.3491028", "doi": "10.1145/3491003.3491028", "title": "Greedy Algorithms for Scheduling Package Delivery with Multiple Drones", "year": 2022, "authors": [ "Francesco Betti Sorbelli", "Federico Corò", "Sajal Kumar Das", "Lorenzo Palazzetti", "Cristina Maria Pinotti" ], "first_author": "Francesco Betti Sorbelli", "venue": "ACM International Conference Proceeding Series", "volume": null, "pages": "31-39", "type": "conference-paper", "language": "en", "abstract": "Unmanned Aerial Vehicles (or drones) can be used for a myriad of civil applications, such as search and rescue, precision agriculture, or last-mile package delivery. Interestingly, the cooperation between drones and ground vehicles (trucks) can even enhance the quality of service. In this paper, we investigate the symbiosis among a truck and multiple drones in a last-mile package delivery scenario, introducing the Multiple Drone-Delivery Scheduling Problem (MDSP). From the main depot, a truck takes care of transporting a team of drones that will be used to deliver packages to customers. Each delivery is associated with a drone’s energy cost, a reward that characterizes the priority of the delivery, and a time interval representing the launch and rendezvous times from and to the truck. The objective of MDSP is to find an optimal scheduling for the drones that maximizes the overall reward subject to the drone’s battery capacity while ensuring that the same drone performs deliveries whose time intervals do not intersect. After showing that MDSP is an NP-hard problem, we devise an optimal Integer Linear Programming (ILP) formulation for it. Consequently, we design a heuristic algorithm for the single drone case and two more heuristic algorithms for the multiple drone case. Finally, we thoroughly compare the performance of our presented algorithms on different synthetic datasets.", "keywords": [ "Drone", "Computer science", "Scheduling (production processes)", "Integer programming", "Real-time computing", "Mathematical optimization", "Algorithm", "Mathematics" ], "cited_by_openalex": 21, "cited_by_scopus": "22", "eid": "2-s2.0-85124030195", "pii": null, "open_access_url": "https://doi.org/10.1145/3491003.3491028", "sources": [ { "db": "openalex", "stream": "TRUCK", "query_id": "TRUCK-3" }, { "db": "openalex", "stream": "UAV", "query_id": "UAV-1" }, { "db": "scopus", "stream": "TRUCK", "query_id": "TRUCK-1" }, { "db": "scopus", "stream": "TRUCK", "query_id": "TRUCK-3" }, { "db": "scopus", "stream": "UAV", "query_id": "UAV-1" } ], "streams": [ "TRUCK", "UAV" ], "relevance_signals": [ "UAV", "TRUCK" ], "auto_exclude_reason": null, "screening_status": "pending_human_screening", "screened_by": "auto-v1.0.0" }, { "id": "doi:10.3390/su14169978", "doi": "10.3390/su14169978", "title": "A Variable Neighborhood Descent Matheuristic for the Drone Routing Problem with Beehives Sharing", "year": 2022, "authors": [ "Maria Elena Bruni", "Sara Khodaparasti" ], "first_author": "Maria Elena Bruni", "venue": "Sustainability", "volume": "14", "pages": null, "type": "article", "language": "en", "abstract": "In contemporary urban logistics, drones will become a preferred transportation mode for last-mile deliveries, as they have shown commercial potential and triple-bottom-line performance. Drones, in fact, address many challenges related to congestion and emissions and can streamline the last leg of the supply chain, while maintaining economic performance. Despite the common conviction that drones will reshape the future of deliveries, numerous hurdles prevent practical implementation of this futuristic vision. The sharing economy, referred to as a collaborative business model that foster sharing, exchanging and renting resources, could lead to operational improvements and enhance the cost control ability and the flexibility of companies using drones. For instance, the Amazon patent for drone beehives, which are fulfilment centers where drones can be restocked before flying out again for another delivery, could be established as a shared delivery systems where different freight carriers jointly deliver goods to customers. Only a few studies have addressed the problem of operating such facilities providing services to retail companies. In this paper, we formulate the problem as a deterministic location-routing model and derive its robust counterpart under the travel time uncertainty. To tackle the computational complexity of the model caused by the non-linear energy consumption rates in drone battery, we propose a tailored matheuristic combining variable neighborhood descent with a cut generation approach. The computational experiments show the efficiency of the solution approach especially compared to the Gurobi solver.", "keywords": [ "Drone", "Computer science", "Variable (mathematics)", "Operations research", "Flexibility (engineering)", "Sharing economy", "Economics", "Engineering" ], "cited_by_openalex": 21, "cited_by_scopus": "22", "eid": "2-s2.0-85137727022", "pii": null, "open_access_url": "https://www.mdpi.com/2071-1050/14/16/9978/pdf?version=1669295644", "sources": [ { "db": "openalex", "stream": "UAV", "query_id": "UAV-1" }, { "db": "openalex", "stream": "UAV", "query_id": "UAV-2" }, { "db": "scopus", "stream": "UAV", "query_id": "UAV-1" }, { "db": "scopus", "stream": "UAV", "query_id": "UAV-2" } ], "streams": [ "UAV" ], "relevance_signals": [ "UAV" ], "auto_exclude_reason": null, "screening_status": "pending_human_screening", "screened_by": "auto-v1.0.0" }, { "id": "doi:10.2478/tar-2022-0019", "doi": "10.2478/tar-2022-0019", "title": "A Systematic Review of Ground-Based Infrastructure for the Innovative Urban Air Mobility", "year": 2022, "authors": [ "Gazmend Mavraj", "Jil Eltgen", "Tim Fraske", "Majed Swaid", "Jan Berling", "Ole Röntgen", "Yuzhuo Fu", "Detlef Schulz" ], "first_author": "Gazmend Mavraj", "venue": "Transactions of the Institute of Aviation", "volume": "2022", "pages": "1-17", "type": "review", "language": "en", "abstract": "Abstract The increasing level of urbanisation and traffic congestion promotes the concept of urban air mobility (UAM), which has become a thriving topic in engineering and neighbouring disciplines. the development of a suitable ground-based infrastructure is necessary to supply these innovative vehicles, which mainly includes networks of take-off and landing sites, facilities for maintenance, energy supply, and navigation and communication capabilities. Further requirements comprise robust business and operating models for emerging service providers and regulatory frameworks, particularly regarding safety, liability and noise emissions. the objective of this study is to provide an overview of the current results and developments in the field of UAM ground-based infrastructure by conducting a systematic literature review (SLr) and to identify the most relevant research gaps in the field. For the systematic literature analysis, our search string contains vertiports and the equivalents, UAM and equivalents, and search phrases for the individual domains. In the final analysis 64 articles were included, finding a strong focus on simulations and vertiport networks, while specific case studies and related aspects like automated MrO and urban planning appear less frequently. therefore, this article provides insights for a more holistic perspective on challenges and necessities of future UAM.", "keywords": [ "Thriving", "Urbanization", "Transport engineering", "Systematic review", "Computer science", "Liability", "Common ground", "Field (mathematics)", "Traffic congestion", "Risk analysis (engineering)", "Service provider", "Critical infrastructure" ], "cited_by_openalex": 21, "cited_by_scopus": "22", "eid": "2-s2.0-105027919411", "pii": null, "open_access_url": "https://sciendo.com/pdf/10.2478/tar-2022-0019", "sources": [ { "db": "openalex", "stream": "UAV", "query_id": "UAV-3" }, { "db": "scopus", "stream": "UAV", "query_id": "UAV-3" } ], "streams": [ "UAV" ], "relevance_signals": [ "UAV_NO_CTX" ], "auto_exclude_reason": "EC-4-topic", "screening_status": "auto_excluded", "screened_by": "auto-v1.0.0" }, { "id": "doi:10.1016/j.apergo.2022.103843", "doi": "10.1016/j.apergo.2022.103843", "title": "Urban air mobility infrastructure design: Using virtual reality to capture user experience within the world's first urban airport", "year": 2022, "authors": [ "Stewart A. Birrell", "William Payre", "Katie Zdanowicz", "Paul Herriotts" ], "first_author": "Stewart A. Birrell", "venue": "Applied Ergonomics", "volume": null, "pages": null, "type": "article", "language": "en", "abstract": "Human factors research can play an important role in the successful design of infrastructure to support future mobility. Through engaging users and stakeholders early in the design process we can gain insights before the physical environments are built. This paper presents data from a truly novel application of Virtual Reality (VR), where user experience and wayfinding were evaluated within an emerging future transport infrastructure to support urban air mobility (UAM) - the urban airport (aka vertiports). Urban airports are located in city centres where drones or 'flying cars' would land and take off from. Previous quantitative studies have investigated passenger experience in traditional airports using field observation and surveys, but this paper is the first to present qualitative research on user experience in this emerging mobility infrastructure using an immersive VR environment. Twenty participants completed a series of six scenarios aimed at understanding customer 'exciters' and 'pain points' within an urban airport. Results and recommendations from this empirical research will help inform the design of all future mobility infrastructure solutions, through improving user experience before the infrastructure is physically deployed. Finally, this paper highlights the benefits of engaging users at an early stage of the design process to ensure that future transport infrastructure will be accessible, easy to navigate and a pleasure to use.", "keywords": [ "Urban design", "Process (computing)", "User experience design", "Computer science", "Smart city", "Transport engineering", "Urban planning", "Human–computer interaction", "Engineering", "Computer security", "Civil engineering", "Internet of Things" ], "cited_by_openalex": 22, "cited_by_scopus": 0, "eid": null, "pii": null, "open_access_url": "https://www.sciencedirect.com/science/article/pii/S0003687022001661/pdf", "sources": [ { "db": "openalex", "stream": "UAV", "query_id": "UAV-3" } ], "streams": [ "UAV" ], "relevance_signals": [ "UAV_NO_CTX" ], "auto_exclude_reason": "EC-4-topic", "screening_status": "auto_excluded", "screened_by": "auto-v1.0.0" }, { "id": "doi:10.3390/logistics6030062", "doi": "10.3390/logistics6030062", "title": "A Particle Swarm Optimization Approach to Solve the Vehicle Routing Problem with Cross-Docking and Carbon Emissions Reduction in Logistics Management", "year": 2022, "authors": [ "Shih‐Che Lo" ], "first_author": "Shih‐Che Lo", "venue": "Logistics", "volume": "6", "pages": null, "type": "article", "language": "en", "abstract": "Background: The logistics network design with cross-docking operations enables shipping service providers to integrate the physical flow of products between vendors and dealers in logistics management. The collective goal is to synchronize the goods in both pickup and delivery operations concurrently to reduce the handling cost, inventory cost, and operation cost generated. Therefore, the optimal vehicle routing plan is crucial to generate a truck routing schedule with minimal total cost, fulfilling the purchasing requirements and the distribution demand. Global warming and climate change are important topics due to increasing greenhouse gas emissions. Sustainable logistics management with optimized routes for trucks can assist in reducing greenhouse gas emissions and easing the effects of temperature increases on our living environment. Methods: A heuristic approach based on Particle Swarm Optimization, called ePSO, was proposed and implemented in this paper to solve the vehicle routing problems with cross-docking and carbon emissions reduction at the same time. Results: Performance comparisons were made with the Genetic Algorithm (GA) through the experiments of several vehicle routing problems with pickup and delivery benchmark problems to validate the performance of the ePSO procedure. Conclusions: Experimental results showed that the proposed ePSO approach was better than the GA for most cases by statistical hypothesis testing.", "keywords": [ "Vehicle routing problem", "Greenhouse gas", "Truck", "Particle swarm optimization", "Purchasing", "Computer science", "Operations research", "Routing (electronic design automation)", "Engineering", "Operations management", "Automotive engineering", "Computer network" ], "cited_by_openalex": 26, "cited_by_scopus": "21", "eid": "2-s2.0-85144293059", "pii": null, "open_access_url": "https://www.mdpi.com/2305-6290/6/3/62/pdf?version=1662103125", "sources": [ { "db": "openalex", "stream": "TRUCK", "query_id": "TRUCK-3" }, { "db": "scopus", "stream": "TRUCK", "query_id": "TRUCK-3" } ], "streams": [ "TRUCK" ], "relevance_signals": [ "TRUCK_NO_CTX" ], "auto_exclude_reason": "EC-4-topic", "screening_status": "auto_excluded", "screened_by": "auto-v1.0.0" }, { "id": "doi:10.1109/tmc.2022.3172444", "doi": "10.1109/tmc.2022.3172444", "title": "CEDAN: Cost-Effective Data Aggregation for UAV-Enabled IoT Networks", "year": 2022, "authors": [ "Abhishek Bera", "Sudip Misra", "Chandranath Chatterjee", "Shiwen Mao" ], "first_author": "Abhishek Bera", "venue": "IEEE Transactions on Mobile Computing", "volume": "22", "pages": "5053-5063", "type": "article", "language": "en", "abstract": "One of the crucial challenges in networked Unmanned Aerial Vehicles (UAVs) is to configure them to serve as aerial base stations (BSs) for collecting data from distributed Internet of Things (IoT) devices in a region devoid of backbone connectivity. To address this challenge, it is required to compute optimized trajectories of UAVs to collect data while considering the different activation patterns of IoT devices. We propose a scheme to optimize the trade-off between the number of covered IoT devices and travel time of UAVs. The formulated cost minimization problem is known as the capacitated single depot vehicle routing problem (CSDVRP), which is NP-hard. We propose a solution scheme, named Cost-Effective Data Aggregation for UAV-Enabled IoT Networks (CEDAN), which operates in four steps. First, it determines the optimized hovering locations (HLs) for UAVs. Subsequently, CEDAN determines the optimized route adopting the Christofides's approximation algorithm for Travelling Salesman Problem (TSP). Further, a split function produces the optimized trajectories for all UAVs. Finally, a route adjustment algorithm applies the cost function and rearranges the order of visiting each HL. Extensive simulation results depict that the CEDAN outperforms than Clarke-Wright (CW) savings heuristics, CEDAN without route adjustment (CWRA), and Zhan et al., respectively.", "keywords": [ "Computer science", "Heuristics", "Travelling salesman problem", "Internet of Things", "Routing (electronic design automation)", "Base station", "Minification", "Scheme (mathematics)", "Function (biology)", "Distributed computing", "Computer network", "Real-time computing" ], "cited_by_openalex": 22, "cited_by_scopus": "21", "eid": "2-s2.0-85132532170", "pii": null, "open_access_url": "https://doi.org/10.1109/tmc.2022.3172444", "sources": [ { "db": "openalex", "stream": "UAV", "query_id": "UAV-2" }, { "db": "scopus", "stream": "UAV", "query_id": "UAV-2" } ], "streams": [ "UAV" ], "relevance_signals": [ "UAV_NO_CTX" ], "auto_exclude_reason": "EC-4-topic", "screening_status": "auto_excluded", "screened_by": "auto-v1.0.0" }, { "id": "doi:10.3390/app12147260", "doi": "10.3390/app12147260", "title": "A Vertiport Design Heuristic to Ensure Efficient Ground Operations for Urban Air Mobility", "year": 2022, "authors": [ "Lukas Preis", "Mirko Hornung" ], "first_author": "Lukas Preis", "venue": "Applied Sciences", "volume": "12", "pages": null, "type": "article", "language": "en", "abstract": "Urban Air Mobility is a novel concept of transportation with unknown market potential. Even in conservative estimates, thousands of operations could be expected on a single vertiport. This exceeds known heliport operations, which is the most comparable existing mode of transport—by far. Vertiport operations, in particular the dynamics on the airfield, are not well understood; in the following article, we want to address this research gap. By using means of agent-based simulation, the following design drivers were identified: peaks in demand, imbalance between arrivals and departures, pad operations and gate operations. We calculate a practical hourly capacity of 264 movements for our baseline scenario consisting of 4 pads, 12 gates and 20 stand. We are further able to shown that avoiding this peak and staying below a maximum imbalance between arrivals and departures of less than 33 ensures an average passenger delay of less than 3 min. Lastly, we present a parameter study varying the number of pads and gates, the length of approach/departure and boarding/de-boarding and the level of demand. The results of this study are aggregated into a graphical design heuristic displaying the interchangeability of the mentioned aspects.", "keywords": [ "Interchangeability", "Computer science", "Heuristic", "Baseline (sea)", "Operations research", "Mode (computer interface)", "Mathematical optimization", "Simulation", "Transport engineering", "Engineering", "Mathematics" ], "cited_by_openalex": 20, "cited_by_scopus": "21", "eid": "2-s2.0-85137323572", "pii": null, "open_access_url": "https://www.mdpi.com/2076-3417/12/14/7260/pdf?version=1658370473", "sources": [ { "db": "openalex", "stream": "UAV", "query_id": "UAV-3" }, { "db": "scopus", "stream": "UAV", "query_id": "UAV-3" } ], "streams": [ "UAV" ], "relevance_signals": [ "UAV_NO_CTX" ], "auto_exclude_reason": "EC-4-topic", "screening_status": "auto_excluded", "screened_by": "auto-v1.0.0" }, { "id": "doi:10.3390/su15010709", "doi": "10.3390/su15010709", "title": "Method of Vertiport Capacity Assessment Based on Queuing Theory of Unmanned Aerial Vehicles", "year": 2022, "authors": [ "Honghai Zhang", "Yuhan Fei", "Jingyu Li", "Bowen Li", "Hao Liu" ], "first_author": "Honghai Zhang", "venue": "Sustainability", "volume": "15", "pages": null, "type": "article", "language": "en", "abstract": "Urban air traffic has gradually attracted attention in recent years, which will bring endless vitality to future urban development. An objective and accurate method of assessing vertiport capacity is the basis for the air traffic flow management of UAVs, which plays an important role in improving the efficiency of urban airspace resources. First of all, this paper establishes a theoretical capacity calculation model for ground facilities such as takeoff and landing platforms, taxiways and aprons, respectively. Next, this paper analyzes the service characteristics of each ground facility and establishes different types of UAV queuing systems to obtain UAV delay curves based on a UAV Poisson flow arrival model. Subsequently, a suitable acceptable delay level is selected to obtain the corresponding UAV flow, which means the actual capacity of UAV operations. Eventually, the validity of the model is verified through actual drone data arithmetic examples. The calculation results show that the combination of “1 landing + 2 takeoffs” can achieve better capacity results and that the landing platform is more prone to congestion than the takeoff platform. Change in average service time has the greatest impact on the apron capacity, and the takeoff platform is the most sensitive to changes in the acceptable delay level.", "keywords": [ "Takeoff", "Takeoff and landing", "Queueing theory", "Computer science", "Service level", "Level of service", "Simulation", "Transport engineering", "Automotive engineering", "Engineering", "Computer network", "Aerospace engineering" ], "cited_by_openalex": 13, "cited_by_scopus": "21", "eid": "2-s2.0-85145572492", "pii": null, "open_access_url": "https://www.mdpi.com/2071-1050/15/1/709/pdf?version=1672906464", "sources": [ { "db": "openalex", "stream": "UAV", "query_id": "UAV-3" }, { "db": "scopus", "stream": "UAV", "query_id": "UAV-3" } ], "streams": [ "UAV" ], "relevance_signals": [ "UAV_NO_CTX" ], "auto_exclude_reason": "EC-4-topic", "screening_status": "auto_excluded", "screened_by": "auto-v1.0.0" }, { "id": "doi:10.1016/j.ejor.2021.06.061", "doi": "10.1016/j.ejor.2021.06.061", "title": "Routing for unmanned aerial vehicles: Touring dimensional sets", "year": 2022, "authors": [ "Puerto J." ], "first_author": "Puerto J.", "venue": "European Journal of Operational Research", "volume": "298", "pages": "118-136", "type": "Article", "language": null, "abstract": null, "keywords": [], "cited_by_openalex": 0, "cited_by_scopus": "21", "eid": "2-s2.0-85111490272", "pii": "S0377221721005920", "open_access_url": null, "sources": [ { "db": "scopus", "stream": "UAV", "query_id": "UAV-2" } ], "streams": [ "UAV" ], "relevance_signals": [ "UAV_NO_CTX" ], "auto_exclude_reason": "EC-4-topic", "screening_status": "auto_excluded", "screened_by": "auto-v1.0.0" }, { "id": "doi:10.1016/j.rtbm.2022.100804", "doi": "10.1016/j.rtbm.2022.100804", "title": "An agent-based simulation assessment of freight parking demand management strategies for large urban freight generators", "year": 2022, "authors": [ "André Romano Alho", "Simon Oh", "Ravi Seshadri", "Giacomo Dalla Chiara", "Wen Han Chong", "Takanori Sakai", "Lynette W. Cheah", "Moshe E Ben-Akiva" ], "first_author": "André Romano Alho", "venue": "Research in Transportation Business & Management", "volume": "43", "pages": null, "type": "article", "language": "en", "abstract": null, "keywords": [ "Traffic management", "Transport engineering", "Externality", "Traffic congestion", "Queueing theory", "Demand management", "Business", "City logistics", "Parking guidance and information", "Computer science", "Engineering", "Economics" ], "cited_by_openalex": 15, "cited_by_scopus": "20", "eid": "2-s2.0-85126366984", "pii": "S2210539522000256", "open_access_url": "https://dspace.mit.edu/bitstream/1721.1/148396/2/An-Agent-Based-Simulation-Lg-Freight.pdf", "sources": [ { "db": "openalex", "stream": "TRUCK", "query_id": "TRUCK-1" }, { "db": "scopus", "stream": "TRUCK", "query_id": "TRUCK-1" } ], "streams": [ "TRUCK" ], "relevance_signals": [ "NO_TECHNOLOGY_MATCH" ], "auto_exclude_reason": "EC-4-topic", "screening_status": "auto_excluded", "screened_by": "auto-v1.0.0" }, { "id": "doi:10.3390/en15041530", "doi": "10.3390/en15041530", "title": "Optimizing Multi Cross-Docking Systems with a Multi-Objective Green Location Routing Problem Considering Carbon Emission and Energy Consumption", "year": 2022, "authors": [ "Ieva Meidutė‐Kavaliauskienė", "Nihal Sütütemiz", "Figen Yıldırım", "Shahryar Ghorbani", "Renata Činčikaitė" ], "first_author": "Ieva Meidutė‐Kavaliauskienė", "venue": "Energies", "volume": "15", "pages": null, "type": "article", "language": "en", "abstract": "Cross-docking is an excellent way to reduce the space required to store goods, inventory management costs, and customer order delivery time. This paper focuses on cost optimization, scheduling incoming and outgoing trucks, and green supply chains with multiple cross-docking. The three objectives are minimizing total operating costs, truck transportation sequences, and carbon emissions within the supply chain. Since the linear programming model is an integer of zero and one and belongs to NP-hard problems, its solution time increases sharply with increasing dimensions. Therefore, the non-dominated sorting genetic algorithm-II (NSGA-II) and the multi-objective particle swarm optimization (MOPSO) were used to find near-optimal solutions to the problem. Then, these algorithms were compared with criteria such as execution time and distance from the ideal point, and the superior algorithm in each criterion was identified.", "keywords": [ "Mathematical optimization", "Particle swarm optimization", "Computer science", "Integer programming", "Sorting", "Scheduling (production processes)", "Truck", "Vehicle routing problem", "Genetic algorithm", "Energy consumption", "Supply chain", "Routing (electronic design automation)" ], "cited_by_openalex": 20, "cited_by_scopus": "20", "eid": "2-s2.0-85125051538", "pii": null, "open_access_url": "https://www.mdpi.com/1996-1073/15/4/1530/pdf?version=1645614726", "sources": [ { "db": "openalex", "stream": "TRUCK", "query_id": "TRUCK-3" }, { "db": "scopus", "stream": "TRUCK", "query_id": "TRUCK-3" } ], "streams": [ "TRUCK" ], "relevance_signals": [ "TRUCK_NO_CTX" ], "auto_exclude_reason": "EC-4-topic", "screening_status": "auto_excluded", "screened_by": "auto-v1.0.0" }, { "id": "doi:10.1016/j.trip.2022.100708", "doi": "10.1016/j.trip.2022.100708", "title": "A drone hop from the local shop? Where could drone delivery as a service happen in Europe and the USA, and how many people could benefit from it?", "year": 2022, "authors": [ "Jean-Philippe Aurambout", "Konstantinos Gkoumas", "Biagio Ciuffo" ], "first_author": "Jean-Philippe Aurambout", "venue": "Transportation Research Interdisciplinary Perspectives", "volume": "16", "pages": null, "type": "article", "language": "en", "abstract": "The rapid technological and regulatory evolution in the field of autonomous unmanned aerial vehicles (UAV or drones) may soon open the way for their deployment in the last mile delivery of products. This has the potential to decrease delivery costs, reduce transport externalities caused by road traffic and reduce missed-deliveries. It could thus become a disruptor to the parcel delivery industry and for this reason several transport and delivery companies are piloting experiments involving drones. Yet a detailed analysis of the market potential of this system is still only partly available in the literature. To bridge this gap, this paper tries to quantify the proportion of the population, both in Europe and the USA that could benefit from drone-delivery services. Results indicate that under the conditions considered drone delivery services could be financially viable in the Europe and in the USA, where they could serve between 16 and 43% and between 32 and 60% of the population respectively. These results indicate the viability of this industry in the near future, highlighting that the existing geographical distribution of populations has a significant influence and will likely drive the choice of the first deployments.", "keywords": [ "Drone", "Software deployment", "Population", "Business", "Last mile (transportation)", "Transport engineering", "Engineering", "Mile", "Geography" ], "cited_by_openalex": 17, "cited_by_scopus": "20", "eid": "2-s2.0-85143501412", "pii": "S2590198222001683", "open_access_url": "https://www.sciencedirect.com/science/article/pii/S2590198222001683/pdf", "sources": [ { "db": "openalex", "stream": "UAV", "query_id": "UAV-1" }, { "db": "scopus", "stream": "UAV", "query_id": "UAV-1" } ], "streams": [ "UAV" ], "relevance_signals": [ "UAV" ], "auto_exclude_reason": null, "screening_status": "pending_human_screening", "screened_by": "auto-v1.0.0" }, { "id": "doi:10.1002/nav.22087", "doi": "10.1002/nav.22087", "title": "Branch‐price‐and‐cut for the truck–drone routing problem with time windows", "year": 2022, "authors": [ "Hongqi Li", "Feilong Wang" ], "first_author": "Hongqi Li", "venue": "Naval Research Logistics (NRL)", "volume": "70", "pages": "184-204", "type": "article", "language": "en", "abstract": "Abstract Considering the important realistic benefits of drones combined with trucks for last‐mile parcel deliveries, we define the truck–drone routing problem with time windows (TDRP‐TW). The TDRP‐TW has the characteristics of time windows, synchronization en route, direct delivery, multiple trucks, and multiple drones carried by each truck. Customers covered by truck routes can be used as drone launch/retrieval locations, which are called satellites in this study. The synchronization en route enables drones to launch from trucks to return to paired trucks at nodes other than departure sites if necessary. We present an effective branch‐price‐and‐cut algorithm, in which a concept named candidate forward‐satellite (CFS) is introduced to manage the labeling challenge caused by the synchronization en route. In addition, the branch‐price‐and‐cut algorithm is combined with an adaptive large neighborhood search to obtain approximation solutions for large‐scale instances. In the computational experiments, instances with up to 50 customers are solved to optimality, and approximation solutions of large‐scale instances with 100 customers are presented.", "keywords": [ "Truck", "Drone", "Computer science", "Routing (electronic design automation)", "Synchronization (alternating current)", "Vehicle routing problem", "Scale (ratio)", "Real-time computing", "Operations research", "Computer network", "Engineering", "Automotive engineering" ], "cited_by_openalex": 21, "cited_by_scopus": "20", "eid": "2-s2.0-85143912935", "pii": null, "open_access_url": "https://doi.org/10.1002/nav.22087", "sources": [ { "db": "openalex", "stream": "UAV", "query_id": "UAV-1" }, { "db": "openalex", "stream": "UAV", "query_id": "UAV-2" }, { "db": "scopus", "stream": "UAV", "query_id": "UAV-1" }, { "db": "scopus", "stream": "UAV", "query_id": "UAV-2" } ], "streams": [ "UAV" ], "relevance_signals": [ "UAV", "TRUCK" ], "auto_exclude_reason": null, "screening_status": "pending_human_screening", "screened_by": "auto-v1.0.0" }, { "id": "doi:10.1109/edge55608.2022.00027", "doi": "10.1109/edge55608.2022.00027", "title": "Continuous Authentication for UAV Delivery Systems Under Zero-Trust Security Framework", "year": 2022, "authors": [ "Chengzu Dong", "Frank Jiang", "Shiping Chen", "Xiao Liu" ], "first_author": "Chengzu Dong", "venue": "Proceedings IEEE International Conference on Edge Computing", "volume": "2022-July", "pages": "123-132", "type": "conference-paper", "language": "en", "abstract": "In recent years, Unmanned Aerial Vehicles (UAVs) have been widely used in smart logistics to address the last-mile delivery challenge. To complete the delivery tasks, UAVs usually need to store or have access to some sensitive data such as the private information about the parcel and its receiver during their flight, and only the authenticated people or devices are authorised to access the UAV's data. However, there are many potential risks such as injection attacks and spoofing attacks that can cause data leakage. Therefore, how to preserve users' sensitive data and authenticate the identities of people and devices in the UAV delivery system has become an essential requirement under the emerging zero-trust security framework. In this paper, to address such an issue, we propose a continuous authentication scheme for UAV delivery systems that is featured with continuous authentication, multi-factor authentication (MFA), and digital authentication using the blockchain-based Self-Sovereign Identity (SSI) technique. Specifically, continuous authentication is applied to both users and UAVs in the system. The evaluation results demonstrate that our proposed continuous authentication scheme can effectively prevent various attacks and provide security analysis for UAV delivery systems.", "keywords": [ "Spoofing attack", "Computer science", "Computer security", "Authentication (law)", "Scheme (mathematics)", "Authentication protocol", "Computer network" ], "cited_by_openalex": 20, "cited_by_scopus": "20", "eid": "2-s2.0-85146200770", "pii": null, "open_access_url": "https://figshare.com/articles/conference_contribution/Continuous_Authentication_for_UAV_Delivery_Systems_Under_Zero-Trust_Security_Framework/21132268", "sources": [ { "db": "openalex", "stream": "UAV", "query_id": "UAV-1" }, { "db": "scopus", "stream": "UAV", "query_id": "UAV-1" } ], "streams": [ "UAV" ], "relevance_signals": [ "UAV" ], "auto_exclude_reason": null, "screening_status": "pending_human_screening", "screened_by": "auto-v1.0.0" }, { "id": "doi:10.3390/drones6080195", "doi": "10.3390/drones6080195", "title": "Preliminary Clinical Validation of a Drone-Based Delivery System in Urban Scenarios Using a Smart Capsule for Blood", "year": 2022, "authors": [ "Fabrizio Niglio", "Paola Comite", "Andrea Cannas", "Angela Pirri", "Giuseppe Tortora" ], "first_author": "Fabrizio Niglio", "venue": "Drones", "volume": "6", "pages": null, "type": "article", "language": "en", "abstract": "In this paper, we report on the validation of an autonomous drone-based delivery system equipped with a smart capsule for the transportation of blood products in urban areas. The influence of some thermo-mechanical parameters, such as altitude, acceleration/deceleration, external temperature and humidity, on the specimens’ integrity were analyzed. The comparison of the results carried out by hemolytic tests, performed systematically on samples before and after each drone flight, clearly demonstrated that the integrity of blood is preserved and no adverse effects took place during the transport; these results can be addressed to the smart-capsule properties, which allows integrating real-time quality monitoring and control of the temperature experienced by blood products and mechanical vibrations. In addition, we demonstrated this transport system reduces the delivery time considerably. A risk analysis (i.e., HFMEA) was applied to all delivery processes to assess possible criticalities. To the best of our knowledge, this is the first time a drone-based delivery system of blood products in an urban area has been validated to be employed in a future clinical scenario.", "keywords": [ "Drone", "Computer science", "Environmental science", "Automotive engineering", "Simulation", "Engineering", "Biology" ], "cited_by_openalex": 19, "cited_by_scopus": "20", "eid": "2-s2.0-85137357694", "pii": null, "open_access_url": "https://www.mdpi.com/2504-446X/6/8/195/pdf?version=1659954870", "sources": [ { "db": "openalex", "stream": "UAV", "query_id": "UAV-3" }, { "db": "scopus", "stream": "UAV", "query_id": "UAV-3" } ], "streams": [ "UAV" ], "relevance_signals": [ "UAV_NO_CTX" ], "auto_exclude_reason": "EC-4-topic", "screening_status": "auto_excluded", "screened_by": "auto-v1.0.0" }, { "id": "doi:10.3390/drones6110327", "doi": "10.3390/drones6110327", "title": "Position-Monitoring-Based Hybrid Routing Protocol for 3D UAV-Based Networks", "year": 2022, "authors": [ "Ullah S." ], "first_author": "Ullah S.", "venue": "Drones", "volume": "6", "pages": null, "type": "Article", "language": null, "abstract": null, "keywords": [], "cited_by_openalex": 0, "cited_by_scopus": "20", "eid": "2-s2.0-85141715594", "pii": null, "open_access_url": null, "sources": [ { "db": "scopus", "stream": "UAV", "query_id": "UAV-2" } ], "streams": [ "UAV" ], "relevance_signals": [ "UAV_NO_CTX" ], "auto_exclude_reason": "EC-4-topic", "screening_status": "auto_excluded", "screened_by": "auto-v1.0.0" }, { "id": "doi:10.1016/j.trip.2022.100650", "doi": "10.1016/j.trip.2022.100650", "title": "Vulnerable road user safety and freight vehicles: A case study in North Carolina and Tennessee", "year": 2022, "authors": [ "Jueyu Wang", "Saurav Parajuli", "Christopher Cherry", "Noreen McDonald", "Torrey Lyons" ], "first_author": "Jueyu Wang", "venue": "Transportation Research Interdisciplinary Perspectives", "volume": "15", "pages": null, "type": "article", "language": "en", "abstract": "Increasing freight traffic has posed greater road safety threats to Vulnerable Road Users (VRUs), including pedestrians and bicyclists, in urban communities. Although there are some disaggregated studies on truck-related crashes, the literature offers limited knowledge of how crash-level factors influence crashes related to urban freight. Our study uses crash data from North Carolina (2007–2019) and Tennessee (2009–2019) to explore the relationship between the crash-level factors and the occurrence and injury severity of crashes involving freight vehicles and VRUs. Crash-level factors include socio-demographics of VRUs and freight vehicle drivers, driving behaviors, temporal and weather effects, and environmental factors. The results indicate that freight-related VRU crashes, compared to nonfreight-related VRU crashes, are more likely to occur at private properties and parking areas and have a higher probability of causing severe injuries or deaths. The results also show that the involvement of larger vehicles and the occurrence at midblock segments are positively associated with more severe injury outcomes. The research results could help community and transport designers to increase attention to the safety impacts of growing freight traffic in urban communities.", "keywords": [ "Crash", "Transport engineering", "Demographics", "Truck", "Poison control", "Occupational safety and health", "Injury prevention", "Human factors and ergonomics", "Geography", "Business", "Environmental health", "Engineering" ], "cited_by_openalex": 15, "cited_by_scopus": "19", "eid": "2-s2.0-85133930905", "pii": "S2590198222001117", "open_access_url": "https://www.sciencedirect.com/science/article/pii/S2590198222001117/pdf", "sources": [ { "db": "openalex", "stream": "TRUCK", "query_id": "TRUCK-1" }, { "db": "scopus", "stream": "TRUCK", "query_id": "TRUCK-1" } ], "streams": [ "TRUCK" ], "relevance_signals": [ "TRUCK" ], "auto_exclude_reason": null, "screening_status": "pending_human_screening", "screened_by": "auto-v1.0.0" }, { "id": "doi:10.1016/j.tre.2022.102842", "doi": "10.1016/j.tre.2022.102842", "title": "Community logistics for dynamic vehicle dispatching: The effects of community departure “time” and “space”", "year": 2022, "authors": [ "Zhiyuan Ouyang", "Eric Ka Ho Leung", "George Q. Huang" ], "first_author": "Zhiyuan Ouyang", "venue": "Transportation Research Part E Logistics and Transportation Review", "volume": "165", "pages": null, "type": "article", "language": "en", "abstract": null, "keywords": [ "Space (punctuation)", "Computer science", "Business", "Operations research", "Engineering" ], "cited_by_openalex": 23, "cited_by_scopus": "19", "eid": "2-s2.0-85135721977", "pii": "S1366554522002253", "open_access_url": "https://doi.org/10.1016/j.tre.2022.102842", "sources": [ { "db": "openalex", "stream": "TRUCK", "query_id": "TRUCK-2" }, { "db": "scopus", "stream": "TRUCK", "query_id": "TRUCK-2" } ], "streams": [ "TRUCK" ], "relevance_signals": [ "NO_TECHNOLOGY_MATCH" ], "auto_exclude_reason": "EC-4-topic", "screening_status": "auto_excluded", "screened_by": "auto-v1.0.0" }, { "id": "doi:10.3846/transport.2022.16850", "doi": "10.3846/transport.2022.16850", "title": "CLUSTERING ALGORITHM FOR A VEHICLE ROUTING PROBLEM WITH TIME WINDOWS", "year": 2022, "authors": [ "Thi Diem Chau Le", "Duc Duy Nguyen", "Judit Oláh", "Miklós Pakurár" ], "first_author": "Thi Diem Chau Le", "venue": "Transport", "volume": "37", "pages": "17-27", "type": "article", "language": "en", "abstract": "The demand for daily food purchases has increased dramatically, especially during the Covid-19 pandemic. This requires suppliers to face a huge and complex problem of delivering products that meet the needs of their customers on a daily basis. It also puts great pressure on managers on how to make day-to-day decisions quickly and efficiently to both satisfy customer requirements and satisfy capacity constraints. This study proposes a combination of the cluster-first –route-second method and k-means clustering algorithm to deal with a large Vehicle Routing Problem with Time Windows (VRPTW) in the logistics and transportation field. The purpose of this research is to assist decision-makers to make quick and efficient decisions, based on optimal costs, the number of vehicles, delivery time, and truck capacity efficiency. A distribution system of perishable goods in Vietnam is used as a case study to illustrate the effectiveness of our mathematical model. In particular, perishable goods include fresh products of fish, chicken, beef, and pork. These products are packed in different sizes and transferred by vehicles with 1000 kg capacity. Besides, they are delivered from a depot to the main 39 customers of the company with arrival times following customers’ time window. All of the data are collected from a logistics company in Ho Chi Minh city (Vietnam). The result shows that the application of the clustering algorithm reduces the time for finding the optimal solutions. Especially, it only takes an average of 0.36 s to provide an optimal solution to a large Vehicle Routing Problem (VRP) with 39 nodes. In addition, the number of trucks, their operating costs, and their utilization are also shown fully. The logistics company needs 11 trucks to deliver their products to 39 customers. The utilization of each truck is more than 70%. This operation takes the total costs of 6586215.32 VND (Vietnamese Dong), of which, the transportation cost is 1086215.32 VND. This research mainly contributes an effective method for enterprises to quickly find the optimal solution to the problem of product supply.", "keywords": [ "Vehicle routing problem", "Cluster analysis", "Truck", "Computer science", "Routing (electronic design automation)", "Operations research", "Transport engineering", "Engineering", "Automotive engineering", "Computer network" ], "cited_by_openalex": 23, "cited_by_scopus": "19", "eid": "2-s2.0-85130388120", "pii": null, "open_access_url": "https://journals.vilniustech.lt/index.php/Transport/article/download/16850/11147", "sources": [ { "db": "openalex", "stream": "TRUCK", "query_id": "TRUCK-3" }, { "db": "scopus", "stream": "TRUCK", "query_id": "TRUCK-3" } ], "streams": [ "TRUCK" ], "relevance_signals": [ "TRUCK_NO_CTX" ], "auto_exclude_reason": "EC-4-topic", "screening_status": "auto_excluded", "screened_by": "auto-v1.0.0" }, { "id": "doi:10.1007/s10846-022-01632-1", "doi": "10.1007/s10846-022-01632-1", "title": "Scheduling Diagnostic Testing Kit Deliveries with the Mothership and Drone Routing Problem", "year": 2022, "authors": [ "Hyung Jin Park", "Reza Mirjalili", "Murray J. Côté", "Gino J. Lim" ], "first_author": "Hyung Jin Park", "venue": "Journal of Intelligent & Robotic Systems", "volume": "105", "pages": null, "type": "article", "language": "en", "abstract": null, "keywords": [ "Drone", "Scheduling (production processes)", "Computer science", "Schedule", "Job shop scheduling", "Pandemic", "Column generation", "Real-time computing", "Coronavirus disease 2019 (COVID-19)", "Simulation", "Engineering", "Medicine" ], "cited_by_openalex": 23, "cited_by_scopus": "19", "eid": "2-s2.0-85131255050", "pii": null, "open_access_url": "https://link.springer.com/content/pdf/10.1007/s10846-022-01632-1.pdf", "sources": [ { "db": "openalex", "stream": "UAV", "query_id": "UAV-2" }, { "db": "scopus", "stream": "UAV", "query_id": "UAV-2" } ], "streams": [ "UAV" ], "relevance_signals": [ "UAV_NO_CTX" ], "auto_exclude_reason": "EC-4-topic", "screening_status": "auto_excluded", "screened_by": "auto-v1.0.0" }, { "id": "doi:10.1109/tits.2022.3190698", "doi": "10.1109/tits.2022.3190698", "title": "Heuristics Based Optimization for Multidepot Drone Location and Routing Problem to Detect Post-Earthquake Damages", "year": 2022, "authors": [ "Nezir Aydın", "Oktay Yilmaz", "Muhammet Deveci", "Zhihan Lv" ], "first_author": "Nezir Aydın", "venue": "IEEE Transactions on Intelligent Transportation Systems", "volume": "25", "pages": "850-858", "type": "article", "language": "en", "abstract": "The aim of this research is to detect the post-disaster damage by drones as soon as possible so that decision makers can assign search and rescue teams effectively and efficiently. The main differences of this research from the others, which use drones in literature, are as: First, the regions are divided into grids and different importance values are assigned according to the number of buildings that are likely to be damaged and are vital for the response stage, such as hospitals, schools, and fire stations. Second, these importance levels are updated based on the day and time, which helps ordering the grids in a more realistic manner. Third, the depots are selected among the pre-determined candidate locations in accordance with the purpose of objective function. Fourth, detection times at grids are considered as uncertain. Fifth, two versions of Ant Colony Optimization (ACO) are developed as alternatives to exact solution tools. Last, sensitivity analyzes are performed by reducing the number of sorties, reducing the number of drones, and comparing day and night importance values for each instance. According to the results, only for very small-scale instances, exact solution tool was able to reach the optimal while both versions of ACO reached to similar results within a very less CPU times. Additionally, these ACO algorithms also found good results for the larger scaled problems. Then the performance of these ACO algorithms and the exact solution method are compared based on the CPU time and solution quality.", "keywords": [ "Drone", "Heuristics", "Ant colony optimization algorithms", "Computer science", "Mathematical optimization", "Sensitivity (control systems)", "Routing (electronic design automation)", "Damages", "Benchmark (surveying)", "Operations research", "Engineering", "Algorithm" ], "cited_by_openalex": 17, "cited_by_scopus": "19", "eid": "2-s2.0-85135222351", "pii": null, "open_access_url": "https://doi.org/10.1109/tits.2022.3190698", "sources": [ { "db": "openalex", "stream": "UAV", "query_id": "UAV-2" }, { "db": "scopus", "stream": "UAV", "query_id": "UAV-2" } ], "streams": [ "UAV" ], "relevance_signals": [ "UAV_NO_CTX" ], "auto_exclude_reason": "EC-4-topic", "screening_status": "auto_excluded", "screened_by": "auto-v1.0.0" }, { "id": "doi:10.1080/13658816.2022.2045605", "doi": "10.1080/13658816.2022.2045605", "title": "Optimizing UAV traffic monitoring routes during rush hours considering spatiotemporal variation of monitoring demand", "year": 2022, "authors": [ "Ke Wang", "Qianqian Wu", "Xiangting He", "Chuli Hu", "Nengcheng Chen" ], "first_author": "Ke Wang", "venue": "International Journal of Geographical Information Systems", "volume": "36", "pages": "2086-2111", "type": "article", "language": "en", "abstract": "Dynamic changes in traffic conditions cause spatiotemporal variation in traffic monitoring demand. It is, therefore, necessary to conduct efficient road monitoring to identify dynamic abnormal situations, especially in peak traffic periods. Recently, unmanned aerial vehicles (UAVs) have become an attractive solution to this problem. However, UAV monitoring routes suffer from time limitations during peak traffic hours. To optimize UAV monitoring routes during rush hours, we develop a route planning method incorporating spatiotemporal variations in monitoring demand, in which we introduce a team orienteering arc routing problem with time-varying profits (TOARP-TP) and construct a corresponding mathematical model. The TOARP-TP is an extension of an already existing routing problem, team orienteering arc routing problem (TOARP). An iterated local search (ILS)-based algorithm is designed to solve the large instances of this problem. To verify the proposed method, we conduct sets of numerical experiments with the Sioux Falls road network in South Dakota, US, and a case study is applied using Wuhan, Hubei, PRC. The results demonstrate the efficiency and practicality of our method in optimizing UAV traffic monitoring routes during rush hours. Furthermore, we discuss a strategy for scenario determination and method selection in UAV route planning.", "keywords": [ "Computer science", "Routing (electronic design automation)", "Orienteering", "Arc routing", "Real-time computing", "Route planning", "Operations research", "Transport engineering", "Geography", "Engineering", "Computer network" ], "cited_by_openalex": 18, "cited_by_scopus": "19", "eid": "2-s2.0-85126237539", "pii": null, "open_access_url": "https://doi.org/10.1080/13658816.2022.2045605", "sources": [ { "db": "openalex", "stream": "UAV", "query_id": "UAV-2" }, { "db": "scopus", "stream": "UAV", "query_id": "UAV-2" } ], "streams": [ "UAV" ], "relevance_signals": [ "UAV_NO_CTX" ], "auto_exclude_reason": "EC-4-topic", "screening_status": "auto_excluded", "screened_by": "auto-v1.0.0" }, { "id": "doi:10.1109/tits.2022.3189948", "doi": "10.1109/tits.2022.3189948", "title": "On the Evaluation of a Drone-Based Delivery System on a Mixed Euclidean-Manhattan Grid", "year": 2022, "authors": [ "Francesco Betti Sorbelli", "Cristina Maria Pinotti", "Giulio Rigoni" ], "first_author": "Francesco Betti Sorbelli", "venue": "IEEE Transactions on Intelligent Transportation Systems", "volume": "24", "pages": "1276-1287", "type": "article", "language": "en", "abstract": "In this work, we investigate the use of drones in a delivery scenario formed by two contiguous areas. In one area the drones can freely fly on straight lines between any two locations (Euclidean metric), while in the other one the drones must follow the open space above the roads (Manhattan metric). We model this delivery scenario as a Euclidean-Manhattan-Grid (EM-grid). Given a set of customers to be served in an EM-grid, the objective is to find the distribution point (DP) for the drone that minimizes the overall traveled distance, considering that the drone has to do multiple round trips to/from the DP. In our view, the DP is optimized with respect to the set of customers and its computation must be light because it needs to be recomputed every time the set of customers varies. Accordingly, we define the Single Distribution Point Problem (SDPP) and devise sub-optimal time-efficient algorithms for solving it. We numerically compare the cost of our sub-optimal solutions with that of an optimal solution computed with a brute-force approach. Finally, using the BlueSky open air simulator, we compare the cost of our best solution with the cost of a solution that serves the costumers from a fixed DP, like the location of a delivery company’s depot. The fixed DP can perform very poorly for some customer instances, while our solution is highly adaptive and reduces the time and the distance covered by the drone.", "keywords": [ "Drone", "Grid", "Computer science", "Euclidean geometry", "Grid system", "Delivery system", "Engineering", "Mathematics", "Geometry" ], "cited_by_openalex": 20, "cited_by_scopus": "19", "eid": "2-s2.0-85135205795", "pii": null, "open_access_url": "https://ieeexplore.ieee.org/ielx7/6979/10026638/09832016.pdf", "sources": [ { "db": "openalex", "stream": "UAV", "query_id": "UAV-3" }, { "db": "scopus", "stream": "UAV", "query_id": "UAV-3" } ], "streams": [ "UAV" ], "relevance_signals": [ "UAV_NO_CTX" ], "auto_exclude_reason": "EC-4-topic", "screening_status": "auto_excluded", "screened_by": "auto-v1.0.0" }, { "id": "doi:10.1007/s42405-022-00505-z", "doi": "10.1007/s42405-022-00505-z", "title": "Vertiport Performance Analysis for On-Demand Urban Air Mobility Operation in Seoul Metropolitan Area", "year": 2022, "authors": [ "Byeong Tak Park", "Hyeonmi Kim", "Sang Hyun Kim" ], "first_author": "Byeong Tak Park", "venue": "International Journal of Aeronautical and Space Sciences", "volume": "23", "pages": "1065-1078", "type": "article", "language": "en", "abstract": null, "keywords": [ "Metropolitan area", "Queue", "Sensitivity (control systems)", "Queueing theory", "Volume (thermodynamics)", "Transport engineering", "Travel time", "Level of service", "Computer science", "Simulation", "Environmental science", "Engineering" ], "cited_by_openalex": 19, "cited_by_scopus": "19", "eid": "2-s2.0-85136819922", "pii": null, "open_access_url": "https://doi.org/10.1007/s42405-022-00505-z", "sources": [ { "db": "openalex", "stream": "UAV", "query_id": "UAV-3" }, { "db": "scopus", "stream": "UAV", "query_id": "UAV-3" } ], "streams": [ "UAV" ], "relevance_signals": [ "UAV_NO_CTX" ], "auto_exclude_reason": "EC-4-topic", "screening_status": "auto_excluded", "screened_by": "auto-v1.0.0" }, { "id": "doi:10.1109/dasc55683.2022.9925782", "doi": "10.1109/dasc55683.2022.9925782", "title": "Hierarchical Vertiport Network Design for On-Demand Multi-modal Urban Air Mobility", "year": 2022, "authors": [ "Xin Peng", "Vishwanath Bulusu", "Raja Sengupta" ], "first_author": "Xin Peng", "venue": "2022 IEEE/AIAA 41st Digital Avionics Systems Conference (DASC)", "volume": "2022-September", "pages": null, "type": "conference-paper", "language": "en", "abstract": "The vertiports that connect ground and air transportation modes play a critical role in enabling Urban Air Mobility (UAM). Parameters like aircraft occupancy and vertiport operational capacity, along with the ground traffic congestion near vertiports have dominant impacts on the vertiport network design and consequently on the total addressable market and value proposition of UAM. We propose a hierarchical method to design a vertiport network for multi-modal UAM with multiple-seat aircraft based on the passenger demand. Our objective is to determine vertiport locations and assign passengers to maximize their travel time benefit from using multi-modal UAM. The proposed hierarchical vertiport network design method consists of two steps: (1) The origins and the destinations of the UAM passengers are clustered by the k-median algorithm, which divides the whole metro region into fully-connected main sectors; (2) The passengers in the main sectors are subdivided into groups whose centers serve as the vertiports. The passenger consolidation time and vertiport operational capacity are constrained in these two steps. We implement the proposed method in the San Francisco Bay Area. There are approximately 2.8 million trips between 5 a.m. and 12 p.m. 163,098 trips are chosen as potential UAM trips and simulated with the rest of the driving trips. The results show that 78% of 163,098 trips saved time through multi-modal UAM with an average saving of 27 minutes compared with driving.", "keywords": [ "TRIPS architecture", "Modal", "Transport engineering", "Computer science", "Aviation", "Value of time", "Occupancy", "Traffic congestion", "Travel time", "Engineering", "Civil engineering" ], "cited_by_openalex": 13, "cited_by_scopus": "19", "eid": "2-s2.0-85141934590", "pii": null, "open_access_url": "https://doi.org/10.1109/dasc55683.2022.9925782", "sources": [ { "db": "openalex", "stream": "UAV", "query_id": "UAV-3" }, { "db": "scopus", "stream": "UAV", "query_id": "UAV-3" } ], "streams": [ "UAV" ], "relevance_signals": [ "UAV_NO_CTX" ], "auto_exclude_reason": "EC-4-topic", "screening_status": "auto_excluded", "screened_by": "auto-v1.0.0" }, { "id": "doi:10.1177/03611981221094575", "doi": "10.1177/03611981221094575", "title": "Impact of Airspace Restrictions on Urban Air Mobility Airport Shuttle Service Route Feasibility", "year": 2022, "authors": [ "Mark T. Kotwicz Herniczek", "Brian German" ], "first_author": "Mark T. Kotwicz Herniczek", "venue": "Transportation Research Record Journal of the Transportation Research Board", "volume": null, "pages": null, "type": "article", "language": "en", "abstract": "Initial urban air mobility (UAM) operations are anticipated to include airport shuttle services between airport terminals and city centers. UAM airport shuttle operations have the potential to improve the customer experience and provide airports with new revenue streams but risk interfering with current airport operations. In this paper, we develop a discrete, heuristics-based optimization framework to explore the impact of airspace constraints and the placement of vertiports in the airport terminal area on the feasibility of UAM shuttle operations. The framework is applied to the terminal areas of Hartsfield-Jackson Atlanta International Airport (ATL), Dallas Fort Worth International Airport (DFW), and Los Angeles International Airport (LAX). Small-scale UAM operations are found to be feasible at all three airports with current terminal-area procedures, particularly if UAM aircraft are classified as helicopters. Scaled-up operations are found to be most feasible at ATL because of the possibility of segregating UAM aircraft from commercial traffic, whereas scaled-up operations at LAX and DFW are expected to require the adoption of new technologies, procedures, and regulations.", "keywords": [ "International airport", "Transport engineering", "Revenue", "Service (business)", "Air traffic control", "Air cargo", "Heuristics", "Aeronautics", "Operations research", "Engineering", "Computer science", "Business" ], "cited_by_openalex": 19, "cited_by_scopus": 0, "eid": null, "pii": null, "open_access_url": "https://doi.org/10.1177/03611981221094575", "sources": [ { "db": "openalex", "stream": "UAV", "query_id": "UAV-3" } ], "streams": [ "UAV" ], "relevance_signals": [ "UAV_NO_CTX" ], "auto_exclude_reason": "EC-4-topic", "screening_status": "auto_excluded", "screened_by": "auto-v1.0.0" }, { "id": "doi:10.1016/j.tra.2022.05.025", "doi": "10.1016/j.tra.2022.05.025", "title": "An investigation of contributing factors for warehouse location and the relationship between local attributes and explanatory variables of Warehouse Freight Trip Generation Model", "year": 2022, "authors": [ "Oliveira L.K.d." ], "first_author": "Oliveira L.K.d.", "venue": "Transportation Research Part A Policy and Practice", "volume": "162", "pages": "206-219", "type": "Article", "language": null, "abstract": null, "keywords": [], "cited_by_openalex": 0, "cited_by_scopus": "19", "eid": "2-s2.0-85131683200", "pii": "S096585642200146X", "open_access_url": null, "sources": [ { "db": "scopus", "stream": "TRUCK", "query_id": "TRUCK-1" } ], "streams": [ "TRUCK" ], "relevance_signals": [ "NO_TECHNOLOGY_MATCH" ], "auto_exclude_reason": "EC-4-topic", "screening_status": "auto_excluded", "screened_by": "auto-v1.0.0" }, { "id": "doi:10.1016/j.compag.2022.106829", "doi": "10.1016/j.compag.2022.106829", "title": "Environment scenario identification based on GNSS recordings for agricultural tractors", "year": 2022, "authors": [ "Liang Y." ], "first_author": "Liang Y.", "venue": "Computers and Electronics in Agriculture", "volume": "195", "pages": null, "type": "Article", "language": null, "abstract": null, "keywords": [], "cited_by_openalex": 0, "cited_by_scopus": "19", "eid": "2-s2.0-85125756140", "pii": "S0168169922001466", "open_access_url": null, "sources": [ { "db": "scopus", "stream": "TRUCK", "query_id": "TRUCK-3" } ], "streams": [ "TRUCK" ], "relevance_signals": [ "NO_TECHNOLOGY_MATCH" ], "auto_exclude_reason": "EC-4-topic", "screening_status": "auto_excluded", "screened_by": "auto-v1.0.0" }, { "id": "doi:10.1016/j.ejtl.2021.100070", "doi": "10.1016/j.ejtl.2021.100070", "title": "A branch-and-price algorithm for a team orienteering problem with fixed-wing drones", "year": 2022, "authors": [ "Kaarthik Sundar", "Sujeevraja Sanjeevi", "Christopher Montez" ], "first_author": "Kaarthik Sundar", "venue": "EURO Journal on Transportation and Logistics", "volume": "11", "pages": null, "type": "article", "language": "en", "abstract": "This paper formulates a team orienteering problem with multiple fixed-wing drones and develops a branch-and-price algorithm to solve the problem to optimality. Fixed-wing drones, unlike rotary drones, have kinematic constraints associated with them, thereby preventing them to make on-the-spot turns and restricting them to a minimum turn radius. This paper presents the implications of these constraints on the drone routing problem formulation and proposes a systematic technique to address them in the context of the team orienteering problem. Furthermore, a novel branch-and-price algorithm with branching techniques specific to the constraints imposed due to fixed-wing drones are proposed. Extensive computational experiments on benchmark instances corroborating the effectiveness of the algorithms are also presented.", "keywords": [ "Orienteering", "Drone", "Context (archaeology)", "Mathematical optimization", "Turning radius", "Computer science", "Kinematics", "Benchmark (surveying)", "Mathematics", "Engineering", "Aerospace engineering", "Geography" ], "cited_by_openalex": 18, "cited_by_scopus": "18", "eid": "2-s2.0-85123704429", "pii": "S2192437621000352", "open_access_url": "https://www.sciencedirect.com/science/article/pii/S2192437621000352/pdf", "sources": [ { "db": "openalex", "stream": "UAV", "query_id": "UAV-2" }, { "db": "scopus", "stream": "UAV", "query_id": "UAV-2" } ], "streams": [ "UAV" ], "relevance_signals": [ "UAV_NO_CTX" ], "auto_exclude_reason": "EC-4-topic", "screening_status": "auto_excluded", "screened_by": "auto-v1.0.0" }, { "id": "doi:10.1016/j.cor.2022.105702", "doi": "10.1016/j.cor.2022.105702", "title": "Routing Problem for Unmanned Aerial Vehicle Patrolling Missions - A Progressive Hedging Algorithm", "year": 2022, "authors": [ "Sudarshan Rajan", "Kaarthik Sundar", "Natarajan Gautam" ], "first_author": "Sudarshan Rajan", "venue": "Computers & Operations Research", "volume": "142", "pages": null, "type": "article", "language": "en", "abstract": null, "keywords": [ "Patrolling", "Context (archaeology)", "Set (abstract data type)", "Computer science", "Fidelity", "Routing (electronic design automation)", "Sequence (biology)", "Real-time computing", "Algorithm", "Operations research", "Engineering", "Computer network" ], "cited_by_openalex": 21, "cited_by_scopus": "18", "eid": "2-s2.0-85124488513", "pii": "S0305054822000077", "open_access_url": "https://doi.org/10.1016/j.cor.2022.105702", "sources": [ { "db": "openalex", "stream": "UAV", "query_id": "UAV-2" }, { "db": "scopus", "stream": "UAV", "query_id": "UAV-2" } ], "streams": [ "UAV" ], "relevance_signals": [ "UAV_NO_CTX" ], "auto_exclude_reason": "EC-4-topic", "screening_status": "auto_excluded", "screened_by": "auto-v1.0.0" }, { "id": "doi:10.3390/app12020848", "doi": "10.3390/app12020848", "title": "Design and Simulation of a Digital Twin Mobility Concept: An Electric Aviation System Dynamics Case Study with Capacity Constraints", "year": 2022, "authors": [ "Philipp Winkler", "Sergio Gallego-García", "Marcel Groten" ], "first_author": "Philipp Winkler", "venue": "Applied Sciences", "volume": null, "pages": null, "type": "article", "language": "en", "abstract": "Vertical mobility, as a commercial service, has been considered for scheduled volume and long-distance mobility services. To overcome its limits and increase its potential coverage, flexibility, and adaptability, centralized mobility hubs, similar to airports, will need to be constructed. Within this context, a customized and on-demand air mobility concept providing high flexibility in location combinations and time schedules could provide a solution for regional mobility needs. The aim of this research was to provide a generic framework for various mobility schemes as well as to design a holistic air mobility management concept for electric vertical mobility. A system dynamics simulation case study applied the conceptual model for an on-demand air mobility network of electric aircraft in a regional area with capacity constraints including vertiports, aircraft, charging, and parking stations. Therefore, bottlenecks and delays were quantified using a digital twin tool for customized scenarios. Simulation results showed that optimized maintenance management and the redistribution of aircraft units improved service indicators such as the number of customers served, and customer wait times as well as a reduction in the amount of time an aircraft spent on the ground. As a result, a digital twin air mobility network model with simulation capabilities may be a key factor for future implementation.", "keywords": [ "Mobility model", "Flexibility (engineering)", "Aviation", "Computer science", "Adaptability", "Transport engineering", "Context (archaeology)", "Engineering", "Computer network" ], "cited_by_openalex": 18, "cited_by_scopus": 0, "eid": null, "pii": null, "open_access_url": "https://www.mdpi.com/2076-3417/12/2/848/pdf?version=1642679227", "sources": [ { "db": "openalex", "stream": "UAV", "query_id": "UAV-3" } ], "streams": [ "UAV" ], "relevance_signals": [ "UAV_NO_CTX" ], "auto_exclude_reason": "EC-4-topic", "screening_status": "auto_excluded", "screened_by": "auto-v1.0.0" }, { "id": "doi:10.3390/su14052645", "doi": "10.3390/su14052645", "title": "Estimation of the Origin-Destination Matrix for Trucks That Use Highways: A Case Study in Chile", "year": 2022, "authors": [ "Franco Basso", "Raúl Pezoa", "Nicolás F. Tapia", "Mauricio Varas" ], "first_author": "Franco Basso", "venue": "Sustainability", "volume": "14", "pages": null, "type": "article", "language": "en", "abstract": "Nowadays, freight transport is crucial in the functioning of cities worldwide. To dig further into the understanding of urban freight transport movements, in this research, we conducted a case study in which we estimated an origin-destination matrix for the trucks traveling on Autopista Central, one of Santiago de Chile’s most important urban highways. To do so, we used full real-world vehicle-by-vehicle information of freight vehicles’ movements along the highway. This data was collected from several toll collection gates equipped with free-flow and automatic vehicle identification technology. However, this data did not include any vehicle information before or after using the highway. To estimate the origins and destinations of these trips, we proposed a multisource methodology that used GPS information provided by SimpliRoute, a Chilean routing company. Nevertheless, this GPS data involved only a small subset of trucks that used the highway. In order to reduce the bias, we built a decision tree model for estimating the trips’ origin, whose input data was complemented by other public databases. Furthermore, we computed trip destinations using proportionality factors obtained from SimpliRoute data. Our results showed that most of the estimated origins belonged to outskirt municipalities, while the estimated destinations were mainly located in the downtown area. Our findings might help improve freight transport comprehension in the city, enabling the implementation of focused transport policies and investments to help mitigate negative externalities, such as congestion and pollution.", "keywords": [ "Destinations", "TRIPS architecture", "Truck", "Transport engineering", "Global Positioning System", "Geographic information system", "Computer science", "Identification (biology)", "Flow network", "Business", "Geography", "Tourism" ], "cited_by_openalex": 18, "cited_by_scopus": "17", "eid": "2-s2.0-85125801812", "pii": null, "open_access_url": "https://www.mdpi.com/2071-1050/14/5/2645/pdf?version=1645710769", "sources": [ { "db": "openalex", "stream": "TRUCK", "query_id": "TRUCK-1" }, { "db": "openalex", "stream": "TRUCK", "query_id": "TRUCK-2" }, { "db": "scopus", "stream": "TRUCK", "query_id": "TRUCK-1" }, { "db": "scopus", "stream": "TRUCK", "query_id": "TRUCK-2" } ], "streams": [ "TRUCK" ], "relevance_signals": [ "TRUCK" ], "auto_exclude_reason": null, "screening_status": "pending_human_screening", "screened_by": "auto-v1.0.0" }, { "id": "doi:10.3390/drones6090249", "doi": "10.3390/drones6090249", "title": "Impact of the Integration of First-Mile and Last-Mile Drone-Based Operations from Trucks on Energy Efficiency and the Environment", "year": 2022, "authors": [ "Tamás Bányai" ], "first_author": "Tamás Bányai", "venue": "Drones", "volume": "6", "pages": null, "type": "article", "language": "en", "abstract": "Supply chain solutions are based on first-mile and last-mile deliveries; their efficiency significantly influences the total cost of operation. Drone technologies make it possible to improve first-mile and last-mile operations, but the design and optimization of these solutions offers new challenges. Within the frame of this article, the author focuses on the impact of integrated first-mile/last-mile drone-based delivery services from trucks, analyzing the impact of solutions on energy efficiency, the environmental impact and sustainability. The author describes a novel model of drone-based integrated first-mile/last-mile services which makes it possible to analyze the impact of different typical solutions on sustainability. As the numerical examples and computational results show, the integrated first-mile-last-mile drone-based service from trucks could lead to a significant reduction in energy consumption and a reduction in virtual greenhouse gas (GHG) emissions, which would lead to a more sustainable logistics system. The numerical analysis of the scenarios shows that the increased application of drones and the integration of first-mile and last-mile delivery operations could decrease energy consumption by about 87%. This reduction in energy consumption, depending on the generation source of electricity, significantly increases the reduction in greenhouse gas emission.", "keywords": [ "Mile", "Last mile (transportation)", "Truck", "Drone", "Energy consumption", "Greenhouse gas", "Engineering", "Environmental science", "Transport engineering", "Computer science", "Automotive engineering", "Geography" ], "cited_by_openalex": 19, "cited_by_scopus": "17", "eid": "2-s2.0-85138644368", "pii": null, "open_access_url": "https://www.mdpi.com/2504-446X/6/9/249/pdf?version=1663315895", "sources": [ { "db": "openalex", "stream": "TRUCK", "query_id": "TRUCK-1" }, { "db": "openalex", "stream": "UAV", "query_id": "UAV-1" }, { "db": "openalex", "stream": "UAV", "query_id": "UAV-3" }, { "db": "scopus", "stream": "TRUCK", "query_id": "TRUCK-1" }, { "db": "scopus", "stream": "UAV", "query_id": "UAV-1" }, { "db": "scopus", "stream": "UAV", "query_id": "UAV-3" } ], "streams": [ "TRUCK", "UAV" ], "relevance_signals": [ "UAV", "TRUCK" ], "auto_exclude_reason": null, "screening_status": "pending_human_screening", "screened_by": "auto-v1.0.0" }, { "id": "doi:10.1016/j.tre.2022.102782", "doi": "10.1016/j.tre.2022.102782", "title": "Urban consolidation centers and city toll schemes–Investigating the impact of city tolls on transshipment decisions", "year": 2022, "authors": [ "Christian Friedrich", "Ralf M. Elbert" ], "first_author": "Christian Friedrich", "venue": "Transportation Research Part E Logistics and Transportation Review", "volume": "164", "pages": null, "type": "article", "language": "en", "abstract": null, "keywords": [ "Toll", "City logistics", "Transport engineering", "Transshipment (information security)", "Business", "Computer science", "Operations research", "Consolidation (business)", "Context (archaeology)", "Integer programming", "Vehicle routing problem", "Service provider" ], "cited_by_openalex": 13, "cited_by_scopus": "17", "eid": "2-s2.0-85132352372", "pii": "S1366554522001703", "open_access_url": "https://doi.org/10.1016/j.tre.2022.102782", "sources": [ { "db": "openalex", "stream": "TRUCK", "query_id": "TRUCK-1" }, { "db": "openalex", "stream": "TRUCK", "query_id": "TRUCK-2" }, { "db": "scopus", "stream": "TRUCK", "query_id": "TRUCK-1" }, { "db": "scopus", "stream": "TRUCK", "query_id": "TRUCK-2" } ], "streams": [ "TRUCK" ], "relevance_signals": [ "NO_TECHNOLOGY_MATCH" ], "auto_exclude_reason": "EC-4-topic", "screening_status": "auto_excluded", "screened_by": "auto-v1.0.0" }, { "id": "doi:10.1016/j.cor.2022.106074", "doi": "10.1016/j.cor.2022.106074", "title": "Dock assignment and truck scheduling problem; consideration of multiple scenarios with resource allocation constraints", "year": 2022, "authors": [ "Rahimeh Neamatian Monemi", "Shahin Gelareh" ], "first_author": "Rahimeh Neamatian Monemi", "venue": "Computers & Operations Research", "volume": "151", "pages": null, "type": "article", "language": "en", "abstract": null, "keywords": [ "Truck", "Computer science", "Integer programming", "Scheduling (production processes)", "Mathematical optimization", "Column generation", "Integer (computer science)", "Software deployment", "Operations research", "Algorithm", "Engineering", "Mathematics" ], "cited_by_openalex": 19, "cited_by_scopus": "17", "eid": "2-s2.0-85142903803", "pii": "S0305054822003045", "open_access_url": "https://doi.org/10.1016/j.cor.2022.106074", "sources": [ { "db": "openalex", "stream": "TRUCK", "query_id": "TRUCK-3" }, { "db": "scopus", "stream": "TRUCK", "query_id": "TRUCK-3" } ], "streams": [ "TRUCK" ], "relevance_signals": [ "TRUCK_NO_CTX" ], "auto_exclude_reason": "EC-4-topic", "screening_status": "auto_excluded", "screened_by": "auto-v1.0.0" }, { "id": "doi:10.3390/su142316085", "doi": "10.3390/su142316085", "title": "Measuring CO2 Emissions in E-Commerce Deliveries: From Empirical Studies to a New Calculation Approach", "year": 2022, "authors": [ "Damian Dubisz", "Paulina Golińska-Dawson", "Przemysław Zawodny" ], "first_author": "Damian Dubisz", "venue": "Sustainability", "volume": "14", "pages": null, "type": "article", "language": "en", "abstract": "The rapid development of e-commerce during the COVID-19 pandemic has caused an increase in the demand for urban deliveries. In this study, we conduct an exploratory analysis to identify factors that influence the fuel consumption and related greenhouse gas emissions (GHG) of vans and trucks used for e-commerce delivery. The novelty of this research results from the proposal of a new actionable approach to calculate CO2 emissions from heterogeneous fleets in e-commerce deliveries. Through a literature review, a survey of transport managers, and a case study on e-commerce deliveries, we have found that the heterogeneous fleet structure impacts direct emissions from urban deliveries. We have taken into account the parameters of a heterogeneous fleet structure, such as gross weight, mass, fuel type, engine size, fuel consumption (liters/100 km), and the age of a vehicle. Through numerical experiments, we have identified that the age of a vehicle results in increased fuel consumption of 1.31% year-to-year for vans and 1.01% year-to-year for 18-t trucks. For that reason, we proposed a novel formula to calculate the direct CO2 emissions from heterogeneous fleets in e-commerce deliveries, which takes into consideration the age-related fuel consumption factor and the structure of a fleet.", "keywords": [ "Truck", "Fuel efficiency", "Greenhouse gas", "Consumption (sociology)", "Environmental science", "Environmental economics", "Transport engineering", "Business", "Engineering", "Automotive engineering", "Economics" ], "cited_by_openalex": 17, "cited_by_scopus": "17", "eid": "2-s2.0-85143772973", "pii": null, "open_access_url": "https://www.mdpi.com/2071-1050/14/23/16085/pdf?version=1669897076", "sources": [ { "db": "openalex", "stream": "TRUCK", "query_id": "TRUCK-3" }, { "db": "scopus", "stream": "TRUCK", "query_id": "TRUCK-3" } ], "streams": [ "TRUCK" ], "relevance_signals": [ "TRUCK" ], "auto_exclude_reason": null, "screening_status": "pending_human_screening", "screened_by": "auto-v1.0.0" }, { "id": "doi:10.3390/s22103702", "doi": "10.3390/s22103702", "title": "A Coordinated Vehicle–Drone Arc Routing Approach Based on Improved Adaptive Large Neighborhood Search", "year": 2022, "authors": [ "Guohua Wu", "Kexin Zhao", "Jiaqi Cheng", "Manhao Ma" ], "first_author": "Guohua Wu", "venue": "Sensors", "volume": "22", "pages": null, "type": "article", "language": "en", "abstract": "Through urban traffic patrols, problems such as traffic congestion and accidents can be found and dealt with in time to maintain the stability of the urban traffic system. The most common way to patrol is using ground vehicles, which may be inflexible and inefficient. The vehicle-drone coordination maximizes utilizing the flexibility of drones and addresses their limited battery capacity issue. This paper studied a vehicle-drone arc routing problem (VD-ARP), consisting of one vehicle and multiple drones. Considering the coordination mode and constraints of the vehicle-drone system, a mathematical model of VD-ARP that minimized the total patrol time was constructed. To solve this problem, an improved, adaptive, large neighborhood search algorithm (IALNS) was proposed. First, the initial route planning scheme was generated by the heuristic rule of \"Drone-First, Vehicle-Then\". Then, several problem-based neighborhood search strategies were embedded into the improved, adaptive, large neighborhood search framework to improve the quality of the solution. The superiority of IALNS is verified by numerical experiments on instances with different scales. Several critical factors were tested to determine the effects of coordinated traffic patrol; an example based on a real road network verifies the feasibility and applicability of the algorithm.", "keywords": [ "Drone", "Vehicle routing problem", "Arc routing", "Arc (geometry)", "Computer science", "Routing (electronic design automation)", "Engineering", "Computer network", "Biology" ], "cited_by_openalex": 21, "cited_by_scopus": "17", "eid": "2-s2.0-85129836874", "pii": null, "open_access_url": "https://www.mdpi.com/1424-8220/22/10/3702/pdf?version=1652691273", "sources": [ { "db": "openalex", "stream": "UAV", "query_id": "UAV-2" }, { "db": "scopus", "stream": "UAV", "query_id": "UAV-2" } ], "streams": [ "UAV" ], "relevance_signals": [ "UAV_NO_CTX" ], "auto_exclude_reason": "EC-4-topic", "screening_status": "auto_excluded", "screened_by": "auto-v1.0.0" }, { "id": "doi:10.1109/tase.2022.3181512", "doi": "10.1109/tase.2022.3181512", "title": "A Lagrangian Algorithm for Multiple Depot Traveling Salesman Problem With Revisit Period Constraints", "year": 2022, "authors": [ "Drew D. Scott", "Satyanarayana G. Manyam", "David W. Casbeer", "Manish Kumar" ], "first_author": "Drew D. Scott", "venue": "IEEE Transactions on Automation Science and Engineering", "volume": "20", "pages": "690-702", "type": "article", "language": "en", "abstract": "This work presents a Multiple Depot Traveling Salesman Problem with revisit period constraints. The revisit period constraints are relevant to persistent routing applications, where these constraints represent maximum time between successive visits to a target. This problem is first posed as a Mixed Integer Linear Program. The coupling constraints in the primal problem are then relaxed via Lagrangian relaxation. Minimizing the resulting Lagrangian over the primal variables can be separated into an individual subproblem for each salesman. An algorithm to solve the subproblems to near-optimality that scales well for larger instances is presented. The dual function is then maximized, where three different dual update methods are studied: the subgradient method, the ellipsoid algorithm, and a bundle algorithm. Further, a primal reconstruction algorithm is presented to reconstruct feasible solutions from the solution of the dual algorithm. The quality of these solutions are compared to the optimal solutions obtained from the CPLEX MILP optimizer. The results of extensive numerical testing show that the dual algorithm presented was computationally efficient, capable of finding high quality solutions, and scale well compared to CPLEX. Further, it was seen that the bundle method used showed better convergence than the other update methods within the dual algorithm. Note to Practitioners— This work was motivated by the problem of routing UAVs in the presence of timing constraints, specifically motivated by military applications. This problem has constraints on the frequency at which targets are visited, such that high priority targets must be visited more frequently. Similar prior work exists in the literature for a variety of routing problems for different timing or resource constraints. Techniques which are successful on one set of constraints may be less useful when applied to different constraints. We present a Lagrangian based approach to the multiple depot traveling salesman variant. The results show the utility of a Lagrangian based technique to this problem, as both the solution quality and computation time scale well with problem size. The Lagrangian based technique presented here is seen to provide, on average, high quality solutions with improved computational time over a branch-and-bound algorithm, which solves the problem exactly. While the solutions returned from the algorithm are on average of good quality, they do exhibit some variance. Alternative algorithms may give more consistent results. The technique presented in this paper is general and may be applied to other routing problems where the revisit period constraints are applied. Future research includes application of this method to dynamic environments, where the targets’ states are unknown to the UAVs except when being monitored. Further, alternative techniques can be developed for this problem and compared to both the branch-and-bound and the Lagrange algorithm presented here.", "keywords": [ "Travelling salesman problem", "Lagrangian", "Traveling purchaser problem", "Bottleneck traveling salesman problem", "Mathematical optimization", "2-opt", "Period (music)", "Depot", "Algorithm", "Lagrangian relaxation", "Computer science", "Mathematics" ], "cited_by_openalex": 15, "cited_by_scopus": "17", "eid": "2-s2.0-85132702787", "pii": null, "open_access_url": "https://doi.org/10.1109/tase.2022.3181512", "sources": [ { "db": "openalex", "stream": "UAV", "query_id": "UAV-2" }, { "db": "scopus", "stream": "UAV", "query_id": "UAV-2" } ], "streams": [ "UAV" ], "relevance_signals": [ "UAV_NO_CTX" ], "auto_exclude_reason": "EC-4-topic", "screening_status": "auto_excluded", "screened_by": "auto-v1.0.0" }, { "id": "doi:10.3390/math10173099", "doi": "10.3390/math10173099", "title": "Electric-Vehicle Routing Planning Based on the Law of Electric Energy Consumption", "year": 2022, "authors": [ "Ding N." ], "first_author": "Ding N.", "venue": "Mathematics", "volume": "10", "pages": null, "type": "Article", "language": null, "abstract": null, "keywords": [], "cited_by_openalex": 0, "cited_by_scopus": "17", "eid": "2-s2.0-85137797704", "pii": null, "open_access_url": null, "sources": [ { "db": "scopus", "stream": "TRUCK", "query_id": "TRUCK-2" } ], "streams": [ "TRUCK" ], "relevance_signals": [ "NO_TECHNOLOGY_MATCH" ], "auto_exclude_reason": "EC-4-topic", "screening_status": "auto_excluded", "screened_by": "auto-v1.0.0" }, { "id": "doi:10.1007/s40747-022-00661-5", "doi": "10.1007/s40747-022-00661-5", "title": "Memory-based variable neighborhood search for green vehicle routing problem with passing-by drivers: a comprehensive perspective", "year": 2022, "authors": [ "Cao L." ], "first_author": "Cao L.", "venue": "Complex and Intelligent Systems", "volume": "8", "pages": "2507-2525", "type": "Article", "language": null, "abstract": null, "keywords": [], "cited_by_openalex": 0, "cited_by_scopus": "17", "eid": "2-s2.0-85134065591", "pii": null, "open_access_url": null, "sources": [ { "db": "scopus", "stream": "TRUCK", "query_id": "TRUCK-2" } ], "streams": [ "TRUCK" ], "relevance_signals": [ "NO_TECHNOLOGY_MATCH" ], "auto_exclude_reason": "EC-4-topic", "screening_status": "auto_excluded", "screened_by": "auto-v1.0.0" }, { "id": "doi:10.22034/ijsom.2022.109076.2168", "doi": "10.22034/ijsom.2022.109076.2168", "title": "The Selective Full Truckload Multi-depot Vehicle Routing Problem with Time Windows: Formulation and a Genetic Algorithm", "year": 2022, "authors": [ "El Bouyahyiouy K." ], "first_author": "El Bouyahyiouy K.", "venue": "International Journal of Supply and Operations Management", "volume": "9", "pages": "299-320", "type": "Article", "language": null, "abstract": null, "keywords": [], "cited_by_openalex": 0, "cited_by_scopus": "17", "eid": "2-s2.0-85146387251", "pii": null, "open_access_url": null, "sources": [ { "db": "scopus", "stream": "TRUCK", "query_id": "TRUCK-3" } ], "streams": [ "TRUCK" ], "relevance_signals": [ "NO_TECHNOLOGY_MATCH" ], "auto_exclude_reason": "EC-4-topic", "screening_status": "auto_excluded", "screened_by": "auto-v1.0.0" }, { "id": "doi:10.16097/j.cnki.1009-6744.2022.03.023", "doi": "10.16097/j.cnki.1009-6744.2022.03.023", "title": "Urban Logistics Unmanned Aerial Vehicle Vertiports Layout Planning", "year": 2022, "authors": [ "Zhang H.H." ], "first_author": "Zhang H.H.", "venue": "Jiaotong Yunshu Xitong Gongcheng Yu Xinxi Journal of Transportation Systems Engineering and Information Technology", "volume": "22", "pages": "207-214", "type": "Article", "language": null, "abstract": null, "keywords": [], "cited_by_openalex": 0, "cited_by_scopus": "17", "eid": "2-s2.0-85133014081", "pii": null, "open_access_url": null, "sources": [ { "db": "scopus", "stream": "UAV", "query_id": "UAV-1" }, { "db": "scopus", "stream": "UAV", "query_id": "UAV-3" } ], "streams": [ "UAV" ], "relevance_signals": [ "UAV" ], "auto_exclude_reason": null, "screening_status": "pending_human_screening", "screened_by": "auto-v1.0.0" }, { "id": "doi:10.1109/dasc55683.2022.9925872", "doi": "10.1109/dasc55683.2022.9925872", "title": "Eye Glance Behaviors of Ground Control Station Operators in a Simulated Urban Air Mobility Environment", "year": 2022, "authors": [ "Unverricht J.R." ], "first_author": "Unverricht J.R.", "venue": "AIAA IEEE Digital Avionics Systems Conference Proceedings", "volume": "2022-September", "pages": null, "type": "Conference Paper", "language": null, "abstract": null, "keywords": [], "cited_by_openalex": 0, "cited_by_scopus": "17", "eid": "2-s2.0-85141934375", "pii": null, "open_access_url": null, "sources": [ { "db": "scopus", "stream": "UAV", "query_id": "UAV-3" } ], "streams": [ "UAV" ], "relevance_signals": [ "NO_TECHNOLOGY_MATCH" ], "auto_exclude_reason": "EC-4-topic", "screening_status": "auto_excluded", "screened_by": "auto-v1.0.0" }, { "id": "doi:10.1016/j.ejtl.2022.100079", "doi": "10.1016/j.ejtl.2022.100079", "title": "Design of a two-echelon last-mile delivery model", "year": 2022, "authors": [ "Juan C. Pina-Pardo", "Matheo Moreno", "Miguel Barros", "Alexandre Magno de Melo Faria", "Matthias Winkenbach", "Milena Janjevic" ], "first_author": "Juan C. Pina-Pardo", "venue": "EURO Journal on Transportation and Logistics", "volume": "11", "pages": null, "type": "article", "language": "en", "abstract": "Due to high congestion in cities and growing demand for last-mile delivery services, several companies have been implementing two-echelon distribution strategies over the past few years. Notably, the installation of urban transshipment points has gained increasing attention, used by logistics operators to transfer goods from large freight trucks to smaller and more agile vehicles for last-mile delivery. Nevertheless, the main challenge is how to decide the number and location of these facilities under the presence of demand uncertainty. In this paper, we develop a two-stage stochastic program to design two-echelon last-mile delivery networks under demand uncertainty. This approach decomposes the problem into strategic decisions (facility location) and operational decisions (daily distribution of goods). To address large-scale instances, we solve the model through the sample average approximation (SAA) technique and estimate the optimal routing costs (of the SAA counterpart) using a continuous approximation method. Using a real-world case study with more than 1300 customers from New York City, our results provide several managerial insights regarding the mix of transportation modes, facility location, and the impact of allowing the outsourcing of customer demand. We provide extensive validation of the two-stage stochastic program results through a simulation-based approach and the calculation of the value of the stochastic solutions.", "keywords": [ "Truck", "Facility location problem", "Last mile (transportation)", "Transshipment (information security)", "Operations research", "Agile software development", "Outsourcing", "Computer science", "Automotive industry", "Sample (material)", "Mile", "Transport engineering" ], "cited_by_openalex": 19, "cited_by_scopus": "16", "eid": "2-s2.0-85129851765", "pii": "S2192437622000073", "open_access_url": "https://www.sciencedirect.com/science/article/pii/S2192437622000073/pdf", "sources": [ { "db": "openalex", "stream": "TRUCK", "query_id": "TRUCK-1" }, { "db": "scopus", "stream": "TRUCK", "query_id": "TRUCK-1" } ], "streams": [ "TRUCK" ], "relevance_signals": [ "TRUCK" ], "auto_exclude_reason": null, "screening_status": "pending_human_screening", "screened_by": "auto-v1.0.0" }, { "id": "doi:10.1016/j.scitotenv.2022.155633", "doi": "10.1016/j.scitotenv.2022.155633", "title": "Implications of wheat straw logistic systems for bioenergy sustainable development in China: Costs, energy consumption, and GHG emissions", "year": 2022, "authors": [ "Yan Ru Fang", "Wenjun Shi", "Huimin Xie" ], "first_author": "Yan Ru Fang", "venue": "The Science of The Total Environment", "volume": "837", "pages": null, "type": "article", "language": "en", "abstract": null, "keywords": [ "Greenhouse gas", "Bioenergy", "Environmental science", "Straw", "Energy consumption", "Truck", "Agriculture", "Agricultural economics", "Environmental engineering", "Agricultural engineering", "Waste management", "Biofuel" ], "cited_by_openalex": 19, "cited_by_scopus": "16", "eid": "2-s2.0-85129954020", "pii": "S0048969722027292", "open_access_url": "https://doi.org/10.1016/j.scitotenv.2022.155633", "sources": [ { "db": "openalex", "stream": "TRUCK", "query_id": "TRUCK-3" }, { "db": "scopus", "stream": "TRUCK", "query_id": "TRUCK-3" } ], "streams": [ "TRUCK" ], "relevance_signals": [ "TRUCK_NO_CTX" ], "auto_exclude_reason": "EC-4-topic", "screening_status": "auto_excluded", "screened_by": "auto-v1.0.0" }, { "id": "doi:10.1371/journal.pone.0278649", "doi": "10.1371/journal.pone.0278649", "title": "Evaluating the long-term operational performance of a large-scale inland terminal: A discrete event simulation-based modeling approach", "year": 2022, "authors": [ "Punyaanek Srisurin", "Phipat Pimpanit", "Pisit Jarumaneeroj" ], "first_author": "Punyaanek Srisurin", "venue": "PLoS ONE", "volume": "17", "pages": null, "type": "article", "language": "en", "abstract": "Inland terminals, or dry ports, have played an important role in multimodal transportation networks as transportation hubs that provide connections between seaports and hinterland economies. While important, evaluating the operational performance of a dry port is especially challenging since it depends not only on internal factors, such as the variety and number of container handling equipment (CHE) deployed, but also on other external factors, including changes in transportation policies and container demands experienced by a dry port. To properly evaluate the holistic performance of a dry port while considering all the aforementioned factors, a discrete event simulation (DES) framework is herein developed and applied to the Ladkrabang Inland Container Depot (LICD)-one of the largest dry ports in Southeast Asia-under various operational settings. Despite complicated internal operations, the devised DES framework has shown itself useful in the analyses of LICD, due largely to its flexibility that allows users to include sophisticated operational rules into models. According to our computational results, the current LICD operation is markedly ineffective as the usage rates of all CHE types are relatively low and varied across gate operators-especially the yard truck whose values range between 2.46% and 11.15% on yearly average. We also find that, by redesigning the LICD and its internal operations, the LICD's performance could be substantially enhanced-even with fewer numbers of CHE. Regarding the four CHE types, the reach stacker seems to limit LICD's capability, as its utilization tends to first reach the maximum allowable rate of 75%, while the rubber tyred gantry crane could help boost the usage rate of yard trucks, which, in turn, results in reduced container dwelling times. Nonetheless, the modified LICD could accommodate up to 140% of the current container demand before it experiences operational difficulties induced by the saturation of container flow from rail transportation.", "keywords": [ "Term (time)", "Computer science", "Discrete event simulation", "Scale (ratio)", "Event (particle physics)", "Terminal (telecommunication)", "Statistics", "Simulation", "Mathematics", "Geography", "Computer network", "Physics" ], "cited_by_openalex": 17, "cited_by_scopus": "16", "eid": "2-s2.0-85143552308", "pii": null, "open_access_url": "https://journals.plos.org/plosone/article/file?id=10.1371/journal.pone.0278649&type=printable", "sources": [ { "db": "openalex", "stream": "TRUCK", "query_id": "TRUCK-3" }, { "db": "scopus", "stream": "TRUCK", "query_id": "TRUCK-3" } ], "streams": [ "TRUCK" ], "relevance_signals": [ "TRUCK_NO_CTX" ], "auto_exclude_reason": "EC-4-topic", "screening_status": "auto_excluded", "screened_by": "auto-v1.0.0" }, { "id": "doi:10.3390/drones6120418", "doi": "10.3390/drones6120418", "title": "Study of Urban Logistics Drone Path Planning Model Incorporating Service Benefit and Risk Cost", "year": 2022, "authors": [ "Quan Shao", "Jiaming Li", "Ruoheng Li", "Jiangao Zhang", "Xiaobo Gao" ], "first_author": "Quan Shao", "venue": "Drones", "volume": "6", "pages": null, "type": "article", "language": "en", "abstract": "The application of drones provides a powerful solution for “the last-mile” logistics services, while the large-scale implementation of logistics drone services will threaten the safety of buildings, pedestrians, vehicles, and other elements in the urban environment. The balance of risk cost and service benefit is accordingly crucial to managing logistics drones. In this study, we proposed a cost-benefit assessment model for quantifying risk cost and service benefit in the urban environment. In addition, a global heuristic path search rule was developed to solve the path planning problem based on risk mitigation and customer service. The cost-benefit assessment model quantifies the risk cost from three environmental elements (buildings, pedestrians, and vehicles) threatened by drone operations based on the collision probability, and the service benefit based on the characteristics of logistics service customers. To explore the effectiveness of the model in this paper, we simulate and analyse the effects of different risk combinations, unknown risk zones, and risk-benefit preferences on the path planning results. The results show that compared with the traditional shortest-distance method, the drone path planning method proposed in this paper can accurately capture the distribution of risks and customers in the urban environment. It is highly reusable in ensuring service benefits while reducing risk costs and generating a cost-effective path for logistics drones. We also compare the algorithm in this paper with the A* algorithm and verify that our algorithm improves the solution quality in complex environments.", "keywords": [ "Drone", "Service (business)", "Computer science", "Heuristic", "Path (computing)", "Motion planning", "Risk analysis (engineering)", "Operations research", "Transport engineering", "Business", "Engineering", "Marketing" ], "cited_by_openalex": 15, "cited_by_scopus": "16", "eid": "2-s2.0-85144872522", "pii": null, "open_access_url": "https://www.mdpi.com/2504-446X/6/12/418/pdf?version=1671605429", "sources": [ { "db": "openalex", "stream": "UAV", "query_id": "UAV-1" }, { "db": "scopus", "stream": "UAV", "query_id": "UAV-1" } ], "streams": [ "UAV" ], "relevance_signals": [ "UAV" ], "auto_exclude_reason": null, "screening_status": "pending_human_screening", "screened_by": "auto-v1.0.0" }, { "id": "doi:10.3390/app12126140", "doi": "10.3390/app12126140", "title": "A Decision System for Routing Problems and Rescheduling Issues Using Unmanned Aerial Vehicles", "year": 2022, "authors": [ "I-Ching Lin", "Tsan-Hwan Lin", "Sheng-Hung Chang" ], "first_author": "I-Ching Lin", "venue": "Applied Sciences", "volume": "12", "pages": null, "type": "article", "language": "en", "abstract": "In recent years, consumers have come to expect faster and better delivery services. Logistics companies, therefore, must implement innovative technologies or services in their logistics processes. It is critical to adopt unmanned aerial vehicles (UAV) in last mile delivery and urban logistics. The service provider applies the characteristics of UAVs to complete more requests, benefiting more revenue. However, it may not be a satisfactory solution, because the customers will be dissatisfied if the actual delivery time does not align with their expectations. This study constructs a revenue maximization model subject to time windows and customer satisfaction. Instead of addressing the traveling salesmen problem, this model takes new customer requests during the delivery process into account. We solved the problem using a genetic algorithm. The results show: (1) the model found an approximate and effective solution in the real-time delivery environment; (2) customer satisfaction is inversely proportional to the total delivery distance; (3) regarding the result of the sensitivity analysis of this study, investment in UAV has no influence on total profit and customer satisfaction. Moreover, the customer is a key factor in the logistics decision-making platform, not the provider’s investment in UAVs.", "keywords": [ "Customer satisfaction", "Revenue", "Maximization", "Profit (economics)", "Vehicle routing problem", "Business", "Operations research", "Computer science", "Process management", "Marketing", "Routing (electronic design automation)", "Engineering" ], "cited_by_openalex": 14, "cited_by_scopus": "16", "eid": "2-s2.0-85132581812", "pii": null, "open_access_url": "https://www.mdpi.com/2076-3417/12/12/6140/pdf?version=1655433261", "sources": [ { "db": "openalex", "stream": "UAV", "query_id": "UAV-1" }, { "db": "openalex", "stream": "UAV", "query_id": "UAV-2" }, { "db": "scopus", "stream": "UAV", "query_id": "UAV-1" }, { "db": "scopus", "stream": "UAV", "query_id": "UAV-2" } ], "streams": [ "UAV" ], "relevance_signals": [ "UAV" ], "auto_exclude_reason": null, "screening_status": "pending_human_screening", "screened_by": "auto-v1.0.0" }, { "id": "doi:10.1016/j.rtbm.2022.100908", "doi": "10.1016/j.rtbm.2022.100908", "title": "GPS data as a basis for mapping freight vehicle activities in urban areas – A case study for seven Norwegian cities", "year": 2022, "authors": [ "Mjøsund C.S." ], "first_author": "Mjøsund C.S.", "venue": "Research in Transportation Business and Management", "volume": "45", "pages": null, "type": "Article", "language": null, "abstract": null, "keywords": [], "cited_by_openalex": 0, "cited_by_scopus": "16", "eid": "2-s2.0-85141244680", "pii": "S2210539522001298", "open_access_url": null, "sources": [ { "db": "scopus", "stream": "TRUCK", "query_id": "TRUCK-1" } ], "streams": [ "TRUCK" ], "relevance_signals": [ "TRUCK_NO_CTX" ], "auto_exclude_reason": "EC-4-topic", "screening_status": "auto_excluded", "screened_by": "auto-v1.0.0" }, { "id": "doi:10.1177/03611981211057528", "doi": "10.1177/03611981211057528", "title": "Developing Guidelines for Implementing Transit Signal Priority and Freight Signal Priority Using Simulation Modeling and a Decision Tree Algorithm", "year": 2022, "authors": [ "Iqbal S." ], "first_author": "Iqbal S.", "venue": "Transportation Research Record", "volume": "2676", "pages": "133-144", "type": "Article", "language": null, "abstract": null, "keywords": [], "cited_by_openalex": 0, "cited_by_scopus": "16", "eid": "2-s2.0-85126520649", "pii": null, "open_access_url": null, "sources": [ { "db": "scopus", "stream": "TRUCK", "query_id": "TRUCK-1" } ], "streams": [ "TRUCK" ], "relevance_signals": [ "NO_TECHNOLOGY_MATCH" ], "auto_exclude_reason": "EC-4-topic", "screening_status": "auto_excluded", "screened_by": "auto-v1.0.0" }, { "id": "doi:10.1109/logistiqua55056.2022.9938103", "doi": "10.1109/logistiqua55056.2022.9938103", "title": "Logistics4.0 for urban logistics: A literature review and research framework", "year": 2022, "authors": [ "El Yadari M." ], "first_author": "El Yadari M.", "venue": "2022 IEEE 14th International Conference of Logistics and Supply Chain Management Logistiqua 2022", "volume": null, "pages": null, "type": "Conference Paper", "language": null, "abstract": null, "keywords": [], "cited_by_openalex": 0, "cited_by_scopus": "16", "eid": "2-s2.0-85143049268", "pii": null, "open_access_url": null, "sources": [ { "db": "scopus", "stream": "TRUCK", "query_id": "TRUCK-2" } ], "streams": [ "TRUCK" ], "relevance_signals": [ "NO_TECHNOLOGY_MATCH" ], "auto_exclude_reason": "EC-4-topic", "screening_status": "auto_excluded", "screened_by": "auto-v1.0.0" }, { "id": "doi:10.3390/su14148650", "doi": "10.3390/su14148650", "title": "The Effects of Barriers and Freight Vehicle Restrictions on Logistics Costs: A Comparison before and during the COVID-19 Pandemic in Brazil", "year": 2022, "authors": [ "Marcelo Werneck Barbosa", "Paulo Renato de Sousa", "Leise Kelli de Oliveira" ], "first_author": "Marcelo Werneck Barbosa", "venue": "Sustainability", "volume": "14", "pages": null, "type": "article", "language": "en", "abstract": "The COVID-19 pandemic exposed the fragility of the supply chains, in which the production, distribution, and transportation systems were disrupted, permanently or temporarily. Despite the enormous influences the pandemic had on transportation systems, no study has yet assessed the extent to which the freight restrictions and barriers influenced logistics costs after the start of the COVID-19 outbreak. However, understanding them is necessary to guide and stimulate public policies that intend to optimize the effects of freight restrictions on logistics costs. Thus, this paper assesses and compares the effects that such barriers in urban freight transport, and the restrictions imposed on freight vehicles, had on logistics costs before and during the pandemic. We surveyed more than 120 logistics professionals in Brazil in both 2018 and 2020/2021, making comparisons using models that were assessed using partial least squares structural equation modelling. The findings suggest that barriers and freight restrictions influenced the logistics costs positively, but such influences reduced during the pandemic. Being aware of the barriers and restrictions that influence logistics costs and of how the pandemic increased the effects of some restrictions is essential for managers to be able make timely and appropriate decisions and to plan and implement initiatives to prevent or reduce costs.", "keywords": [ "Pandemic", "Business", "Coronavirus disease 2019 (COVID-19)", "Supply chain", "Distribution (mathematics)", "Traffic management", "Transport engineering", "Industrial organization", "Marketing", "Engineering" ], "cited_by_openalex": 19, "cited_by_scopus": "15", "eid": "2-s2.0-85137181385", "pii": null, "open_access_url": "https://www.mdpi.com/2071-1050/14/14/8650/pdf?version=1658191696", "sources": [ { "db": "openalex", "stream": "TRUCK", "query_id": "TRUCK-1" }, { "db": "scopus", "stream": "TRUCK", "query_id": "TRUCK-1" } ], "streams": [ "TRUCK" ], "relevance_signals": [ "TRUCK" ], "auto_exclude_reason": null, "screening_status": "pending_human_screening", "screened_by": "auto-v1.0.0" }, { "id": "doi:10.3390/su14073812", "doi": "10.3390/su14073812", "title": "Methodology for Prioritizing Best Practices Applied to the Sustainable Last Mile—The Case of a Brazilian Parcel Delivery Service Company", "year": 2022, "authors": [ "Tássia Faria de Assis", "Victor Hugo Souza de Abreu", "Mariane Gonzalez da Costa", "Márcio de Almeida D’Agosto" ], "first_author": "Tássia Faria de Assis", "venue": "Sustainability", "volume": null, "pages": null, "type": "article", "language": "en", "abstract": "The ever-increasing impacts of the last mile delivery sector on the environment and the quality of life of the urban population, such as increased congestion, demand best practices to be incorporated by companies to reduce impacts such as emission of air pollutants and Greenhouse Gases (GHG) and depletion of natural resources, among others. However, a myriad of strategies has been developed for this purpose but there is a lack of methodologies that allow the choice of the best ones for a specific case. Therefore, this study looks for those best practices to be employed through an innovative methodology that consists of SWOT analysis (Strengths, Weaknesses, Opportunities, and Threats), a map of strategies of the delivery service, and using the Sustainability Balanced Scorecard (SBSC) and the Analytic Hierarchy Process (AHP), with the differential of considering the peculiarities of each company. The results applied in a Brazilian last mile delivery service company show that best practices such as route optimization, implementation of new infrastructure and business models for urban deliveries, and use of information systems for fleet tracking and monitoring contribute significantly to improving performance indicators and achieving the sector’s goal to become more sustainable, and especially meeting the Sustainable Development Goals (SDGs) 8, 9, 11, and 17.", "keywords": [ "Best practice", "SWOT analysis", "Balanced scorecard", "Last mile (transportation)", "Sustainability", "Analytic hierarchy process", "Business", "Population", "Service (business)", "Environmental economics", "Service delivery framework", "Environmental resource management" ], "cited_by_openalex": 15, "cited_by_scopus": 0, "eid": null, "pii": null, "open_access_url": "https://www.mdpi.com/2071-1050/14/7/3812/pdf?version=1648190183", "sources": [ { "db": "openalex", "stream": "TRUCK", "query_id": "TRUCK-2" } ], "streams": [ "TRUCK" ], "relevance_signals": [ "NO_TECHNOLOGY_MATCH" ], "auto_exclude_reason": "EC-4-topic", "screening_status": "auto_excluded", "screened_by": "auto-v1.0.0" }, { "id": "doi:10.1007/s10479-022-04747-8", "doi": "10.1007/s10479-022-04747-8", "title": "Hybrid partheno-genetic algorithm for multi-depot perishable food delivery problem with mixed time windows", "year": 2022, "authors": [ "Na Li", "Guo Li" ], "first_author": "Na Li", "venue": "Annals of Operations Research", "volume": "354", "pages": "757-788", "type": "article", "language": "en", "abstract": null, "keywords": [ "Computer science", "Vehicle routing problem", "Genetic algorithm", "Sorting", "Mathematical optimization", "Crossover", "Initialization", "Customer satisfaction", "Population", "Hybrid algorithm (constraint satisfaction)", "Operations research", "Cluster analysis" ], "cited_by_openalex": 22, "cited_by_scopus": "15", "eid": "2-s2.0-85131103584", "pii": null, "open_access_url": "https://doi.org/10.1007/s10479-022-04747-8", "sources": [ { "db": "openalex", "stream": "TRUCK", "query_id": "TRUCK-3" }, { "db": "scopus", "stream": "TRUCK", "query_id": "TRUCK-3" } ], "streams": [ "TRUCK" ], "relevance_signals": [ "NO_TECHNOLOGY_MATCH" ], "auto_exclude_reason": "EC-4-topic", "screening_status": "auto_excluded", "screened_by": "auto-v1.0.0" }, { "id": "doi:10.1016/j.rtbm.2022.100865", "doi": "10.1016/j.rtbm.2022.100865", "title": "Experts' opinions about lasting innovative technologies in City Logistics", "year": 2022, "authors": [ "Giovanni Zenezini", "Giulio Mangano", "Alberto De Marco" ], "first_author": "Giovanni Zenezini", "venue": "Research in Transportation Business & Management", "volume": "45", "pages": null, "type": "article", "language": "en", "abstract": null, "keywords": [ "City logistics", "Maturity (psychological)", "Delphi method", "Relevance (law)", "Drone", "Process (computing)", "Business", "Emerging technologies", "Field (mathematics)", "Coronavirus disease 2019 (COVID-19)", "Set (abstract data type)", "Value (mathematics)" ], "cited_by_openalex": 13, "cited_by_scopus": "15", "eid": "2-s2.0-85135187475", "pii": "S2210539522000864", "open_access_url": "https://www.ncbi.nlm.nih.gov/pmc/articles/9743804", "sources": [ { "db": "openalex", "stream": "UAV", "query_id": "UAV-1" }, { "db": "scopus", "stream": "UAV", "query_id": "UAV-1" } ], "streams": [ "UAV" ], "relevance_signals": [ "UAV" ], "auto_exclude_reason": null, "screening_status": "pending_human_screening", "screened_by": "auto-v1.0.0" }, { "id": "doi:10.1016/j.trpro.2022.11.008", "doi": "10.1016/j.trpro.2022.11.008", "title": "Auction-based Task Allocation for Safe and Energy Efficient UAS Parcel Transportation", "year": 2022, "authors": [ "Marco Rinaldi", "Stefano Primatesta", "Giorgio Guglieri", "Alessandro Rizzo" ], "first_author": "Marco Rinaldi", "venue": "Transportation research procedia", "volume": "65", "pages": "60-69", "type": "article", "language": "en", "abstract": "In this paper, two greedy auction-based algorithms are proposed for the allocation of heterogeneous tasks to a heterogeneous fleet of UAVs. The tasks set is composed of parcel delivery tasks and charge tasks, the latter to guarantee service persistency. An optimization problem is solved by each agent to determine its bid for each task. When considering delivery tasks, the bidder aims at minimizing the energy consumption, while the minimization of the flight time is adopted for charge tasks bids. The algorithms include a path planner that computes the minimum risk path for each task-UAV bid exploiting a 2D risk map of the operational area, defined in an urban environment. Each solution approach is implemented by means of two auction strategies: single-item and multiple-item. Considerations about complexity and efficiency of the algorithms are drawn from Monte Carlo simulations.", "keywords": [ "Computer science", "Task (project management)", "Mathematical optimization", "Planner", "Set (abstract data type)", "Auction algorithm", "Path (computing)", "Greedy algorithm", "Energy consumption", "Monte Carlo method", "Operations research", "Common value auction" ], "cited_by_openalex": 12, "cited_by_scopus": "15", "eid": "2-s2.0-85144949425", "pii": "S2352146522006755", "open_access_url": "https://www.sciencedirect.com/science/article/pii/S2352146522006755/pdf", "sources": [ { "db": "openalex", "stream": "UAV", "query_id": "UAV-1" }, { "db": "scopus", "stream": "UAV", "query_id": "UAV-1" } ], "streams": [ "UAV" ], "relevance_signals": [ "UAV" ], "auto_exclude_reason": null, "screening_status": "pending_human_screening", "screened_by": "auto-v1.0.0" }, { "id": "doi:10.1007/s11276-022-03031-8", "doi": "10.1007/s11276-022-03031-8", "title": "COCOMA: a resource-optimized cooperative UAVs communication protocol for surveillance and monitoring applications", "year": 2022, "authors": [ "Youssra Cheriguene", "Fatima Zohra Bousbaa", "Chaker Abdelaziz Kerrache", "Soumia Djellikh", "Nasreddine Lagraa", "Mohamed Lahby", "Abderrahmane Lakas" ], "first_author": "Youssra Cheriguene", "venue": "Wireless Networks", "volume": "30", "pages": "4429-4445", "type": "article", "language": "en", "abstract": null, "keywords": [ "Computer science", "Multicast", "Swarm behaviour", "Distributed computing", "Computer network", "Routing protocol", "Routing (electronic design automation)", "Quality of service", "Transmission (telecommunications)", "Software deployment", "Telecommunications", "Artificial intelligence" ], "cited_by_openalex": 17, "cited_by_scopus": "15", "eid": "2-s2.0-85133245052", "pii": null, "open_access_url": "https://doi.org/10.1007/s11276-022-03031-8", "sources": [ { "db": "openalex", "stream": "UAV", "query_id": "UAV-2" }, { "db": "scopus", "stream": "UAV", "query_id": "UAV-2" } ], "streams": [ "UAV" ], "relevance_signals": [ "UAV_NO_CTX" ], "auto_exclude_reason": "EC-4-topic", "screening_status": "auto_excluded", "screened_by": "auto-v1.0.0" }, { "id": "doi:10.2514/6.2022-3458", "doi": "10.2514/6.2022-3458", "title": "Flight Testing In-Time Safety Assurance Technologies for UAS Operations", "year": 2022, "authors": [ "Steven D. Young", "Ersin Ancel", "Evan T. Dill", "Andrew Moore", "Cuong Chi Quach", "Kyle M. Smalling", "Kyle Kent Edward Ellis" ], "first_author": "Steven D. Young", "venue": "AIAA AVIATION 2022 Forum", "volume": null, "pages": null, "type": "conference-paper", "language": "en", "abstract": "View Video Presentation: https://doi.org/10.2514/6.2022-3458.vid Ongoing research at NASA is driven by a strategic plan defined by the Aeronautics Research Mission Directorate and a vision for future In-Time Aviation Safety Management Systems (IASMS) as described by the National Academies. In both visions, system safety awareness and provision are expanded through increased access to relevant data; integrated analysis and predictive capabilities; improved real-time detection and alerting of domain-specific hazards; decision support, and in some cases, automated risk mitigation strategies. One primary research focus is to develop means by which more timely (i.e., “in-time”) actions may be taken to mitigate precursors, anomalies, or trends that are observed during operations. In this paper, we describe such means as a collection of Services, Functions, and Capabilities (SFCs) that are supported by an underlying information system. For example, an integrated risk assessment capability is envisioned that continuously monitors safety-related metrics and margins and recommends timely operational changes. Assessment functions and/or services can be based on data analytics and predictive models derived from heterogeneous data sets that span relevant indicator metrics and their time histories. Likewise, on-board functions can identify and reduce susceptibility to precursor conditions that have led (and can lead) to aircraft loss-of-control or out-of-control accidents. This paper summarizes development and testing of such an information system tailored to hazards anticipated for future highly autonomous flight missions near and over densely populated areas. Testing is accomplished via simulation and by using small, unmanned aircraft operating over a test range at NASA’s Langley Research Center. Flight plans and test scenarios are defined to emulate several use-cases, including package delivery; reconnaissance; fire management; and urban air taxi vertiport operations. Two test phases are summarized with Phase 1 occurring in (2019-2020) and Phase 2 ongoing (2021-present). Results focus on SFC performance, technology readiness level assessment, and requirements discovery/validation. Companion papers are cited throughout for additional details on the recent testing.", "keywords": [ "National Airspace System", "Safety assurance", "Computer science", "Systems engineering", "Aviation", "Risk analysis (engineering)", "Aeronautics", "Engineering", "Reliability engineering" ], "cited_by_openalex": 13, "cited_by_scopus": "15", "eid": "2-s2.0-85135372532", "pii": null, "open_access_url": "https://doi.org/10.2514/6.2022-3458", "sources": [ { "db": "openalex", "stream": "UAV", "query_id": "UAV-3" }, { "db": "scopus", "stream": "UAV", "query_id": "UAV-3" } ], "streams": [ "UAV" ], "relevance_signals": [ "UAV" ], "auto_exclude_reason": null, "screening_status": "pending_human_screening", "screened_by": "auto-v1.0.0" }, { "id": "doi:10.1109/dasc55683.2022.9925806", "doi": "10.1109/dasc55683.2022.9925806", "title": "Usability Evaluation of Fleet Management Interface for High Density Vertiplex Environments", "year": 2022, "authors": [ "Gita Hodell", "Quang V. Dao", "Jeffrey R. Homola", "Madison T. Goodyear", "Scott Kalush", "Shraddha Swaroop", "Yoona Jun" ], "first_author": "Gita Hodell", "venue": "2022 IEEE/AIAA 41st Digital Avionics Systems Conference (DASC)", "volume": "2022-September", "pages": null, "type": "conference-paper", "language": "en", "abstract": "To meet the rising demand for an Advanced Air Mobility (AAM) (i.e. urban and rural unmanned aircraft systems) ecosystem, the NASA Aeronautics Research Mission Directorate (ARMD) is hosting a series of simulations and flight tests under the High Density Vertiplex sub-project (HDV) to prototype and study the effectiveness AAM capabilities under various operational contexts. HDV aims to develop an integrated automation architecture to support terminal area flight operations. The HDV simulations and flight tests address safety, integration, and operational challenges, while integrated systems and software demonstrate design readiness, robustness, and interoperability. During the initial HDV simulation in 2021, a prototype traffic management tool developed by NASA called the Fleet Management Interface (FMI) was tested. FMI was designed to introduce an advanced level of human-automation interaction to aid both Ground control systems operators (GCSOs) and fleet managers (FMs) in remotely managing flights under their ownership. In a human-in-the-loop simulation, a usability study was conducted with the FMI to identify optimal approaches for displaying information to human operators using subjective measures of usability, workload, situation awareness, risk, and user experience, along with qualitative feedback. This study consisted of task analysis in which GCSO and FM subjects used an Urban Air Mobility (UAM) environment to develop and execute a plan for two different traffic scenarios of remotely controlled vehicles. In each scenario, a remotely controlled vehicle completed a takeoff, active flight, and landing sequence while simulated traffic flew in the background at a rate of 20 operations per hour. In the first scenario, the controlled vehicle flew a nominal route with takeoff and landing at the same vertiport. In the second scenario, the controlled vehicle started on the nominal route, then diverted to an unplanned location mid-flight. Results showed that self-reported performance, usability, and situation awareness ratings of FMI were moderately high and perceived risk was low. Furthermore, participants described improvements that could be made to create a better user experience. For example, users suggested having the ability to review routes before assigning them, and adding more detail to operation state messages. The results from this study will inform future development of the FMI with the end goal of creating a reference automation tool for airspace management procedures in AAM. The FMI could serve to reduce dependency on traditional air navigation services through increased automation in high density vertiplex environments.", "keywords": [ "Usability", "Situation awareness", "Interoperability", "Air traffic control", "Workload", "Automation", "Computer science", "Systems engineering", "Simulation", "Engineering", "Aeronautics", "Human–computer interaction" ], "cited_by_openalex": 17, "cited_by_scopus": "15", "eid": "2-s2.0-85141934591", "pii": null, "open_access_url": "https://doi.org/10.1109/dasc55683.2022.9925806", "sources": [ { "db": "openalex", "stream": "UAV", "query_id": "UAV-3" }, { "db": "scopus", "stream": "UAV", "query_id": "UAV-3" } ], "streams": [ "UAV" ], "relevance_signals": [ "UAV_NO_CTX" ], "auto_exclude_reason": "EC-4-topic", "screening_status": "auto_excluded", "screened_by": "auto-v1.0.0" }, { "id": "doi:10.1016/j.geits.2022.100024", "doi": "10.1016/j.geits.2022.100024", "title": "A methodology for assessing the urban supply of on-street delivery bays", "year": 2022, "authors": [ "Comi A." ], "first_author": "Comi A.", "venue": "Green Energy and Intelligent Transportation", "volume": "1", "pages": null, "type": "Article", "language": null, "abstract": null, "keywords": [], "cited_by_openalex": 0, "cited_by_scopus": "15", "eid": "2-s2.0-85163126916", "pii": "S277315372200024X", "open_access_url": null, "sources": [ { "db": "scopus", "stream": "TRUCK", "query_id": "TRUCK-1" } ], "streams": [ "TRUCK" ], "relevance_signals": [ "NO_TECHNOLOGY_MATCH" ], "auto_exclude_reason": "EC-4-topic", "screening_status": "auto_excluded", "screened_by": "auto-v1.0.0" }, { "id": "doi:10.1007/s00291-022-00666-z", "doi": "10.1007/s00291-022-00666-z", "title": "Dynamic service area sizing in urban delivery", "year": 2022, "authors": [ "Ulmer M.W." ], "first_author": "Ulmer M.W.", "venue": "Or Spectrum", "volume": "44", "pages": "763-793", "type": "Article", "language": null, "abstract": null, "keywords": [], "cited_by_openalex": 0, "cited_by_scopus": "15", "eid": "2-s2.0-85125102581", "pii": null, "open_access_url": null, "sources": [ { "db": "scopus", "stream": "TRUCK", "query_id": "TRUCK-2" } ], "streams": [ "TRUCK" ], "relevance_signals": [ "NO_TECHNOLOGY_MATCH" ], "auto_exclude_reason": "EC-4-topic", "screening_status": "auto_excluded", "screened_by": "auto-v1.0.0" }, { "id": "doi:10.1016/j.rtbm.2022.100799", "doi": "10.1016/j.rtbm.2022.100799", "title": "Barriers to business model innovation in the Swedish urban freight transport sector", "year": 2022, "authors": [ "Jon Williamsson", "Olof Moen" ], "first_author": "Jon Williamsson", "venue": "Research in Transportation Business & Management", "volume": "45", "pages": null, "type": "article", "language": "en", "abstract": null, "keywords": [ "Business", "Business model", "Economic geography", "Industrial organization", "Marketing", "Economics" ], "cited_by_openalex": 11, "cited_by_scopus": "14", "eid": "2-s2.0-85125742614", "pii": "S2210539522000207", "open_access_url": "https://doi.org/10.1016/j.rtbm.2022.100799", "sources": [ { "db": "openalex", "stream": "TRUCK", "query_id": "TRUCK-1" }, { "db": "scopus", "stream": "TRUCK", "query_id": "TRUCK-1" } ], "streams": [ "TRUCK" ], "relevance_signals": [ "NO_TECHNOLOGY_MATCH" ], "auto_exclude_reason": "EC-4-topic", "screening_status": "auto_excluded", "screened_by": "auto-v1.0.0" }, { "id": "doi:10.48550/arxiv.2209.01461", "doi": "10.48550/arxiv.2209.01461", "title": "Modular Vehicle Routing for Combined Passenger and Freight Transport", "year": 2022, "authors": [ "Jonas Hatzenbühler", "Erik Jenelius", "Győző Gidófalvi", "Oded Cats" ], "first_author": "Jonas Hatzenbühler", "venue": "arXiv (Cornell University)", "volume": null, "pages": null, "type": "preprint", "language": "en", "abstract": "The continuous increase in urban deliveries and the ongoing urbanization of large cities require the development of efficient and sustainable transportation solutions. This study investigates the impact of modular vehicle concepts and the consolidation of different demand types in the route planning on the efficiency of the urban freight and passenger transportation system. Modularity is achieved by connecting multiple vehicles together to form a platoon. The consolidation of different demand types is realized by simultaneously consider passenger and freight demand in the optimization algorithm. The considered vehicles are specific for each demand type by can be connected freely, hence it is possible to transport different demand types in the same platoon. The cost terms in the problem formulation are comprised of travel time costs, travel distance costs, fleet size costs, and cost considering unserved requests. The modular vehicle operations are modeled in a novel pickup and delivery problem which is solved using CPLEX and Adaptive Large Neighborhood Search. In an extensive scenario study and case study in Stockholm, the potentials of the new modular vehicle type are explored for different spatial and temporal demand distributions. A parameter study on vehicle capacity, vehicle range and cost saving assumptions is performed to study their influence on the efficiency. The experiments carried out indicate a general cost savings of 48% due to modularity and an additional 9% due to consolidation. The reduction mainly stems from reduced operating costs and reduced trip duration, while the same number of requests can be served in all cases. Empty vehicle kilometers are reduced by more than 60% by consolidation and modularity. The proposed model and optimization framework can be used by companies and policy makers to identify required fleet sizes, optimal vehicle routes and cost savings.", "keywords": [ "Modular design", "Vehicle routing problem", "Platoon", "Transport engineering", "Computer science", "Consolidation (business)", "Pickup", "Operations research", "Routing (electronic design automation)", "Engineering", "Business" ], "cited_by_openalex": 14, "cited_by_scopus": 0, "eid": null, "pii": null, "open_access_url": "https://arxiv.org/pdf/2209.01461", "sources": [ { "db": "openalex", "stream": "TRUCK", "query_id": "TRUCK-2" } ], "streams": [ "TRUCK" ], "relevance_signals": [ "NO_TECHNOLOGY_MATCH" ], "auto_exclude_reason": "EC-4-topic", "screening_status": "auto_excluded", "screened_by": "auto-v1.0.0" }, { "id": "doi:10.1007/s00500-022-07094-9", "doi": "10.1007/s00500-022-07094-9", "title": "Last-mile drone delivery combinatorial double auction model using multi-objective evolutionary algorithms", "year": 2022, "authors": [ "Chen-Wei Lee", "Wai-Peng Wong" ], "first_author": "Chen-Wei Lee", "venue": "Soft Computing", "volume": "26", "pages": "12355-12384", "type": "article", "language": "en", "abstract": "Abstract This study proposes a combinatorial double auction bi-objective winner determination problem for last-mile delivery using drone. Prior studies are limited on solving mixed integer model, which are not efficient for large-scale scenario. However, this is not practical in real cases as the computation time to obtain the solution is longer due to number of combinations of packages and participants anticipated in the last-mile delivery platform. Four multi-objective evolutionary algorithms (MOEAs) with the decomposed winner determination problem model are experimented. This study is able to yield Pareto optimal solutions from multiple runs of mixed linear integer programming (MILP) using different objectives weights in the model. Unmanned aerial vehicle, or drone, has potential to reduce cost and save time for last-mile logistic operations. The result positively shows MOEAs are more efficient than MILP in yielding a set of feasible solutions for undertaking complex winner determination problem models. The percentage of improvement in terms of time spent identifying the best option is almost 100%. This is likely an unprecedented research in drone where combinatorial double auction is applied to complex drone delivery services and MOEAs are used to solve the associated winner determination problem model.", "keywords": [ "Drone", "Computer science", "Mathematical optimization", "Integer programming", "Last mile (transportation)", "Combinatorial auction", "Integer (computer science)", "Pareto principle", "Set (abstract data type)", "Linear programming", "Evolutionary algorithm", "Multi-objective optimization" ], "cited_by_openalex": 13, "cited_by_scopus": "14", "eid": "2-s2.0-85128048316", "pii": null, "open_access_url": "https://link.springer.com/content/pdf/10.1007/s00500-022-07094-9.pdf", "sources": [ { "db": "openalex", "stream": "UAV", "query_id": "UAV-1" }, { "db": "scopus", "stream": "UAV", "query_id": "UAV-1" } ], "streams": [ "UAV" ], "relevance_signals": [ "UAV" ], "auto_exclude_reason": null, "screening_status": "pending_human_screening", "screened_by": "auto-v1.0.0" }, { "id": "doi:10.1080/19427867.2022.2082006", "doi": "10.1080/19427867.2022.2082006", "title": "Collaborative traveling salesman problem with ground vehicle as a charger for unmanned aerial vehicle", "year": 2022, "authors": [ "Hyungjoo Cha", "DongKyun Kim", "Joonyup Eun", "Taesu Cheong" ], "first_author": "Hyungjoo Cha", "venue": "Transportation Letters", "volume": "15", "pages": "707-721", "type": "article", "language": "en", "abstract": "Innovation in logistics industry is now implicit, and the use of unmanned aerial vehicles is at the center of logistics innovation. To effectively utilize unmanned aerial vehicles for last-mile delivery, collaborative delivery using ground vehicles and unmanned aerial vehicles has recently been investigated. However, previous studies neglected proper management of batteries, assuming their constant replacement whenever unmanned aerial vehicles land, and hence numerous batteries are required for unmanned aerial vehicles. Given this research gap, we present a new routing model for collaborative delivery wherein an unmanned aerial vehicle uses a ground vehicle as a power source. A mathematical formulation is presented, and noticing the complexity, a heuristic algorithm is developed. We present a case study to verify the operational efficiency of the model. We test the performance of the heuristic and draw insights based on geographical locations of customers via computational experiments.", "keywords": [ "Heuristic", "Travelling salesman problem", "Drone", "Computer science", "Vehicle routing problem", "Routing (electronic design automation)", "Simulation", "Artificial intelligence", "Embedded system" ], "cited_by_openalex": 14, "cited_by_scopus": "14", "eid": "2-s2.0-85133016728", "pii": null, "open_access_url": "https://doi.org/10.1080/19427867.2022.2082006", "sources": [ { "db": "openalex", "stream": "UAV", "query_id": "UAV-1" }, { "db": "scopus", "stream": "UAV", "query_id": "UAV-1" } ], "streams": [ "UAV" ], "relevance_signals": [ "UAV" ], "auto_exclude_reason": null, "screening_status": "pending_human_screening", "screened_by": "auto-v1.0.0" }, { "id": "doi:10.3390/app12168255", "doi": "10.3390/app12168255", "title": "A Proactive Approach to Extended Vehicle Routing Problem with Drones (EVRPD)", "year": 2022, "authors": [ "Paweł Sitek", "Jarosław Wikarek", "Mieczysław Jagodziński" ], "first_author": "Paweł Sitek", "venue": "Applied Sciences", "volume": "12", "pages": null, "type": "article", "language": "en", "abstract": "Unmanned aerial vehicles (UAVs), also known as drones, are increasingly common and popular due to their relatively low prices and high mobility. The number of areas for their practical applications is rapidly growing. The most promising are: last-mile delivery, emergency response, the inspection of technical devices and installations, etc. In these applications, it is often necessary to solve vehicle routing problems, formulated as a variant of the vehicle routing problems with drones (VRPD). This study presents a proactive approach to a modified and extended VRPD, including: the dynamic selection of drone take-off points, bidirectional delivery (delivery and pick up), various types of shipments, allocation of shipments to drones and drones to vehicles, the selection of the optimal number of drones, etc. Moreover, a formal model of constraints and questions for the extended vehicle routing problem with drones (EVRPD) and exact and approximate methods for solving it have been proposed. The proposed model can be the basis for supporting proactive and reactive decisions regarding last-mile delivery, particularly the selection of the necessary fleet, starting points, the identification of specific shipments that prevent delivery with available resources, etc. The study also includes the results of numerous computational experiments verifying the effectiveness of the implementation methods. The time to obtain a solution is at least 20 times shorter for the proposed DGA (dedicated genetic algorithm) than for the mathematical programming solvers such as Gurobi or LINGO. Moreover, for larger-sized data instances, these solvers do not allow obtaining any solution in an acceptable time, or they obtain worse solutions.", "keywords": [ "Drone", "Computer science", "Vehicle routing problem", "Routing (electronic design automation)", "Selection (genetic algorithm)", "Operations research", "Identification (biology)", "Last mile (transportation)", "Mathematical optimization", "Mile", "Computer network", "Engineering" ], "cited_by_openalex": 14, "cited_by_scopus": "14", "eid": "2-s2.0-85137346711", "pii": null, "open_access_url": "https://www.mdpi.com/2076-3417/12/16/8255/pdf?version=1660824443", "sources": [ { "db": "openalex", "stream": "UAV", "query_id": "UAV-1" }, { "db": "openalex", "stream": "UAV", "query_id": "UAV-2" }, { "db": "scopus", "stream": "UAV", "query_id": "UAV-1" }, { "db": "scopus", "stream": "UAV", "query_id": "UAV-2" } ], "streams": [ "UAV" ], "relevance_signals": [ "UAV" ], "auto_exclude_reason": null, "screening_status": "pending_human_screening", "screened_by": "auto-v1.0.0" }, { "id": "doi:10.1016/j.adhoc.2022.103078", "doi": "10.1016/j.adhoc.2022.103078", "title": "FFP: A Force Field Protocol for the tactical management of UAV conflicts", "year": 2022, "authors": [ "Jamie Wubben", "Carlos T. Calafate", "Juan‐Carlos Cano", "Pietro Manzoni" ], "first_author": "Jamie Wubben", "venue": "Ad Hoc Networks", "volume": "140", "pages": null, "type": "article", "language": "en", "abstract": "In recent years, we have seen a tremendous growth in the adoption of Unmanned Aerial Vehicles (UAVs). Nowadays, UAVs are used in many different industries such as agriculture, inspection (bridges, pipelines, etc.), parcel delivery, etc. In the near future, this will lead to a substantial increase of aircraft in our airspace, especially in urban areas. Many existing collision avoidance approaches rely on heavy and/or expensive sensors, which limits its use for real UAVs due to increased costs, weight and complexity. Hence, to address this problem, in this paper we present a solution for the tactical management (i.e. in-flight) of UAV conflicts outdoors that introduces minimal requirements: a wireless interface and a GPS module. Specifically, we provide a collision avoidance algorithm based on artificial potential fields to provide flight safety. Our solution, called Force Field Protocol (FFP), allows the UAVs to autonomously detect each other using wireless communications, and to maintain a safe distance between them without the intervention of any central service. Experiments performed in our multi-UAV simulator ArduSim show that, with our approach, collisions between two UAVs are completely avoided in a wide set of scenarios, while introducing low disturbances to the original flight plans. Specifically, in the scenarios that we tested, the additional flight time introduced will be only 7 s longer in the worst case; in addition, it is able to improve upon previous approaches by reducing flight time by up to 54 s. We have shown experimentally that our approach can be scaled easily up to 100 UAVs, and that the probability of a collision is very low (< 0.06) despite flying in a small area (2.5 km × 2.5 km).", "keywords": [ "Collision avoidance", "Global Positioning System", "Protocol (science)", "Computer science", "Wireless", "Field (mathematics)", "Software deployment", "Collision", "Real-time computing", "Simulation", "Engineering", "Aeronautics" ], "cited_by_openalex": 15, "cited_by_scopus": "14", "eid": "2-s2.0-85145252147", "pii": "S1570870522002505", "open_access_url": "https://doi.org/10.1016/j.adhoc.2022.103078", "sources": [ { "db": "openalex", "stream": "UAV", "query_id": "UAV-1" }, { "db": "scopus", "stream": "UAV", "query_id": "UAV-1" } ], "streams": [ "UAV" ], "relevance_signals": [ "UAV" ], "auto_exclude_reason": null, "screening_status": "pending_human_screening", "screened_by": "auto-v1.0.0" }, { "id": "doi:10.1109/icus55513.2022.9987158", "doi": "10.1109/icus55513.2022.9987158", "title": "Cooperative Route Planning for Fuel-constrained UGV-UAV Exploration", "year": 2022, "authors": [ "Mingjia Zhang", "Huawei Liang", "Pengfei Zhou" ], "first_author": "Mingjia Zhang", "venue": "2022 IEEE International Conference on Unmanned Systems (ICUS)", "volume": null, "pages": "1047-1052", "type": "conference-paper", "language": "en", "abstract": "Heterogeneous UGV-UAV system can efficiently complete large-scale tasks such as exploration and rescue by collaborative operation. This paper proposes a route planner based on a dynamic aggregation strategy to select the time-optimal routes for function-constrained UGV and fuel-constrained UAV to reach all the mission points. To reduce the time consumption of waiting at the take-off point, UGV and UAV are inclined to rendezvous at the next meeting point by no-wait operations. We present a two-step routing strategy to address this cooperative problem. First, the Voronoi diagram and greedy set cover method are used to determine meeting points and task areas. Then, solving a traveling salesman problem to find a UGV path by A-star and Lin-Kernighan heuristic. After that, an adaptive large neighborhood search heuristic is proposed to address vehicle routing problem with recharge for UAV among multiple task areas. The simulation and real experiment results demonstrate that our approach can effectively generate a time-optimal path for UGV-UAV Cooperative exploration.", "keywords": [ "Computer science", "Rendezvous", "Motion planning", "Heuristic", "Travelling salesman problem", "Search and rescue", "Task (project management)", "Routing (electronic design automation)", "Trajectory", "Robot", "Artificial intelligence", "Engineering" ], "cited_by_openalex": 10, "cited_by_scopus": "14", "eid": "2-s2.0-85146495813", "pii": null, "open_access_url": "https://doi.org/10.1109/icus55513.2022.9987158", "sources": [ { "db": "openalex", "stream": "UAV", "query_id": "UAV-2" }, { "db": "scopus", "stream": "UAV", "query_id": "UAV-2" } ], "streams": [ "UAV" ], "relevance_signals": [ "UAV_NO_CTX" ], "auto_exclude_reason": "EC-4-topic", "screening_status": "auto_excluded", "screened_by": "auto-v1.0.0" }, { "id": "doi:10.23919/acc53348.2022.9867385", "doi": "10.23919/acc53348.2022.9867385", "title": "Power Management for Noise Aware Path Planning of Hybrid UAVs", "year": 2022, "authors": [ "Drew D. Scott", "Satyanarayana G. Manyam", "David W. Casbeer", "Manish Kumar", "Michael J. Rothenberger", "Isaac E. Weintraub" ], "first_author": "Drew D. Scott", "venue": "2022 American Control Conference (ACC)", "volume": "2022-June", "pages": "4280-4285", "type": "conference-paper", "language": "en", "abstract": "Here we consider the problem of path planning for a hybrid fuel Unmanned Aerial Vehicle (UAV), equipped with both a battery and gasoline generator as two sources of energy. Routing the vehicle while considering this setup adds fuel constraints in addition to requiring the power source state to be specified along each edge along the path. We further add noise restrictions to the problem where certain edges (corresponding to certain portions of the path) have the restriction that the gasoline generator cannot be run. A solution to this path planning problem entails both a sequence of nodes, being the plain path the vehicle travels, and a sequence of values specifying the power source along each edge in the path. There is no work in the current literature regarding such a problem, with little at all concerning general planning or routing for hybrid fuel UAVs. Here, hybrid fuel UAV routing problem with noise restrictions is presented. The problem is first formulated as an Mixed Integer Linear Program. Then a dynamic programming algorithm is presented to solve the problem exactly. This algorithm is then compared to a branch-and-cut based method in terms of computational times for a variety of problem sizes. A case study is presented, using a graph which location data from an area surrounding an airport to produce goal nodes and noise restrictions to display the problem itself as well as the performance of the dynamic programming algorithm in a realistic scenario for this problem.", "keywords": [ "Computer science", "Mathematical optimization", "Motion planning", "Routing (electronic design automation)", "Path (computing)", "Generator (circuit theory)", "Integer programming", "Noise (video)", "Any-angle path planning", "Enhanced Data Rates for GSM Evolution", "Power (physics)", "Algorithm" ], "cited_by_openalex": 10, "cited_by_scopus": "14", "eid": "2-s2.0-85138495128", "pii": null, "open_access_url": "https://doi.org/10.23919/acc53348.2022.9867385", "sources": [ { "db": "openalex", "stream": "UAV", "query_id": "UAV-2" }, { "db": "scopus", "stream": "UAV", "query_id": "UAV-2" } ], "streams": [ "UAV" ], "relevance_signals": [ "UAV_NO_CTX" ], "auto_exclude_reason": "EC-4-topic", "screening_status": "auto_excluded", "screened_by": "auto-v1.0.0" }, { "id": "doi:10.1109/robio55434.2022.10011837", "doi": "10.1109/robio55434.2022.10011837", "title": "A Multi-stage Precision Landing Method for Autonomous eVTOL Based on Multi-marker Joint Localization", "year": 2022, "authors": [ "Senwei Xiang", "Minxiang Ye", "Shiqiang Zhu", "Jason J. Gu", "Anhuan Xie", "Zehua Men" ], "first_author": "Senwei Xiang", "venue": "2022 IEEE International Conference on Robotics and Biomimetics (ROBIO)", "volume": null, "pages": "2015-2020", "type": "conference-paper", "language": "en", "abstract": "Electric vertical takeoff and landing aircraft (eVTOL) has drawn more and more attention from home and abroad in recent years. It is believed autonomous eVTOL will create a new era of Urban Air Mobility (UAM) and Advanced Air Mobility (AAM). To autonomous eVTOL, precision landing is an extremely critical operation for it directly affects flight safety. In this paper, we analyze the special issues an eVTOL will encounter when it lands in the UAM applications. A multi-stage precision landing method based on multi-marker joint localization is proposed accordingly. Our method contains three key elements: a compatible vertiport with multiple visual markers; an accurate, fast detection and localization algorithm for the vertiport and a multi-stage landing strategy. We implement our method on an eVTOL prototype named ZJ-Copter developed by Zhejiang Lab. A series of real-world experiments have been conducted to validate the effectiveness and accuracy of the proposed method. Experiment results show that our method works well in real-world scenarios for autonomous eVTOL without GPS signal during landing process. The positioning accuracy is less than 0.1m (altitude$< \\mathbf{10}\\mathbf{m}$), while the landing accuracy is less than 0.5m.", "keywords": [ "Global Positioning System", "Computer science", "Takeoff", "Process (computing)", "Stage (stratigraphy)", "Real-time computing", "Key (lock)", "Artificial intelligence", "Simulation", "Computer vision", "Aerospace engineering", "Engineering" ], "cited_by_openalex": 9, "cited_by_scopus": "14", "eid": "2-s2.0-85147323701", "pii": null, "open_access_url": "https://doi.org/10.1109/robio55434.2022.10011837", "sources": [ { "db": "openalex", "stream": "UAV", "query_id": "UAV-3" }, { "db": "scopus", "stream": "UAV", "query_id": "UAV-3" } ], "streams": [ "UAV" ], "relevance_signals": [ "UAV_NO_CTX" ], "auto_exclude_reason": "EC-4-topic", "screening_status": "auto_excluded", "screened_by": "auto-v1.0.0" }, { "id": "doi:10.2514/6.2022-3911", "doi": "10.2514/6.2022-3911", "title": "A Graph-based Reinforcement Learning Framework for Urban Air Mobility Fleet Scheduling", "year": 2022, "authors": [ "Steve M. Paul", "Souma Chowdhury" ], "first_author": "Steve M. Paul", "venue": "AIAA AVIATION 2022 Forum", "volume": null, "pages": null, "type": "conference-paper", "language": "en", "abstract": "View Video Presentation: https://doi.org/10.2514/6.2022-3911.vid Optimal scheduling of the fleet of aircraft comprising an urban air mobility (UAM) network is key to economically viable and sustainable integration of UAM networks within our existing urban and suburban transportation ecosystems. To this end, this paper firstly formulates the UAM fleet scheduling problem as a Markov Decision Process (MDP) over a graph space, with the graph representing the network of vertiports (and their dynamic properties, e.g., demand) being served by these aircraft. A simulation environment that incorporates real-world constraints associated with aircraft characteristics (e.g., max speed and battery capacity), passenger transport demand and electricity pricing is developed and used to evaluate schedules modeled by this MDP. The event-triggered action of each aircraft is determined in a decentralized manner using a novel policy model embodied by a neural network comprising a Graph Neural Network (GNN) based encoder and a Multi-head attention (MHA) based decoder. A policy gradient based reinforcement learning (RL) method is used to train this model. Motivated by the emerging work in learning to solve combinatorial optimization problems, this GNN-based policy model is expected to capture the local and global structural information of the UAM network, allowing the trained policies to generalize across demand and aircraft initialization scenarios. Compared to a simple feasible randomized baseline and a typical multi-layer neural network based policy, our method demonstrates a remarkable 25% better performance in terms of the estimated average daily profit.", "keywords": [ "Reinforcement learning", "Computer science", "Markov decision process", "Scheduling (production processes)", "Artificial neural network", "Operations research", "Mathematical optimization", "Distributed computing", "Markov process", "Artificial intelligence", "Engineering" ], "cited_by_openalex": 14, "cited_by_scopus": 0, "eid": null, "pii": null, "open_access_url": "https://doi.org/10.2514/6.2022-3911", "sources": [ { "db": "openalex", "stream": "UAV", "query_id": "UAV-3" } ], "streams": [ "UAV" ], "relevance_signals": [ "UAV_NO_CTX" ], "auto_exclude_reason": "EC-4-topic", "screening_status": "auto_excluded", "screened_by": "auto-v1.0.0" }, { "id": "doi:10.2514/6.2022-2159", "doi": "10.2514/6.2022-2159", "title": "A Convex Approach to Multi-phase Trajectory Optimization of eVTOL Vehicles for Urban Air Mobility", "year": 2022, "authors": [ "Yufei Wu", "Zhenbo Wang", "Boris Benedikter", "Alessandro Zavoli" ], "first_author": "Yufei Wu", "venue": "AIAA SCITECH 2022 Forum", "volume": null, "pages": null, "type": "conference-paper", "language": "en", "abstract": "View Video Presentation: https://doi.org/10.2514/6.2022-2159.vid Ground transportation in urban areas faces increasingly severe congestion; however, roads cannot be expanded unlimitedly. Under the urban air mobility (UAM) concept, electric vertical takeoff and landing (eVTOL) aircraft can use the third dimension of the urban space for various transportation needs. However, the energy required to complete an UAM mission by an eVTOL vehicle must be less than the available energy stored in the battery pack. Furthermore, eVTOL vehicles must fly along the feasible paths, such as avoiding collisions with any obstacles to arrive at the destination vertiport safely. The objective of this paper is to develop a convex optimization approach for the trajectory optimization of a multi-phase eVTOL mission, including cruise, descent, and landing under various operational constraints in real time. Simulation results are provided to compare the convex optimization approach with a pseudospectral optimal control method.", "keywords": [ "Descent (aeronautics)", "Cruise", "Computer science", "Takeoff", "Trajectory", "Convex optimization", "Mathematical optimization", "Automotive engineering", "Simulation", "Regular polygon", "Aerospace engineering", "Engineering" ], "cited_by_openalex": 8, "cited_by_scopus": "14", "eid": "2-s2.0-85123888269", "pii": null, "open_access_url": "https://doi.org/10.2514/6.2022-2159", "sources": [ { "db": "openalex", "stream": "UAV", "query_id": "UAV-3" }, { "db": "scopus", "stream": "UAV", "query_id": "UAV-3" } ], "streams": [ "UAV" ], "relevance_signals": [ "UAV_NO_CTX" ], "auto_exclude_reason": "EC-4-topic", "screening_status": "auto_excluded", "screened_by": "auto-v1.0.0" }, { "id": "doi:10.1061/jtepbs.0000669", "doi": "10.1061/jtepbs.0000669", "title": "Sustainable Transportation Networks Incorporating Green Modes for Urban Freight Delivery", "year": 2022, "authors": [ "MohammadHossein Shojaei", "Fatemeh Fakhrmoosavi", "Ali Zockaie", "Mehrnaz Ghamami", "Archak Mittal", "James Fishelson" ], "first_author": "MohammadHossein Shojaei", "venue": "Journal of Transportation Engineering Part A Systems", "volume": "148", "pages": null, "type": "article", "language": "en", "abstract": "The sustainability of transportation networks is threatened by growing amounts of emissions generated by vehicles. Urban freight delivery is one of the major sources of these emissions. Cargo cycles are attracting increasing attention for urban delivery owing to their numerous benefits, such as being less pollutant, requiring less space on roads, and high maneuverability. Electric vans have also been proposed as another green mode of freight delivery with a larger delivery capacity and range relative to cargo cycles. In this study, urban freight delivery is targeted through a heterogeneous fleet vehicle routing problem. The proposed framework is used to capture the optimal configuration of a mixed freight delivery fleet offering cargo cycles (i.e., pedal-assisted bikes and trikes as well as electric bikes and trikes) alongside the often-used diesel or gasoline vans or small trucks and electric vans. The formulated problem aims to minimize the delivery costs for companies, including maintenance, purchase, fuel, and labor costs and noise and emission taxes. The methodological contribution of this study is to develop a new metaheuristic algorithm, based on variable neighborhood search and simulated annealing, that finds a better solution with up to 7% lower objective function value and 50% to 80% lower solution times relative to the existing approaches in the literature. This study also demonstrates that bikes and trikes are selected at short delivery distances in the Chicago downtown network. Electric vans are more suitable for large distances, while cargo vans are selected for medium distances. Imposing an emission tax would change the model from cargo vans to electric vans. The results also show that increasing tax levels does not necessarily reduce societal costs because the delivery company tends to maintain its profit margin by increasing delivery costs for customers.", "keywords": [ "Truck", "Transport engineering", "City logistics", "Sustainable transport", "Sustainability", "Simulated annealing", "Vehicle routing problem", "Traffic management", "Environmental economics", "Routing (electronic design automation)", "Computer science", "Engineering" ], "cited_by_openalex": 13, "cited_by_scopus": "13", "eid": "2-s2.0-85127860204", "pii": null, "open_access_url": "https://doi.org/10.1061/jtepbs.0000669", "sources": [ { "db": "openalex", "stream": "TRUCK", "query_id": "TRUCK-1" }, { "db": "openalex", "stream": "TRUCK", "query_id": "TRUCK-2" }, { "db": "openalex", "stream": "TRUCK", "query_id": "TRUCK-3" }, { "db": "scopus", "stream": "TRUCK", "query_id": "TRUCK-1" }, { "db": "scopus", "stream": "TRUCK", "query_id": "TRUCK-2" }, { "db": "scopus", "stream": "TRUCK", "query_id": "TRUCK-3" } ], "streams": [ "TRUCK" ], "relevance_signals": [ "TRUCK" ], "auto_exclude_reason": null, "screening_status": "pending_human_screening", "screened_by": "auto-v1.0.0" }, { "id": "doi:10.3390/en15072307", "doi": "10.3390/en15072307", "title": "Analysis of Fault Characteristics of Distribution Network with PST Loop Closing Device under Small Current Grounding System", "year": 2022, "authors": [ "Zhi Xu", "Jianxiong Tang", "Yupeng Jiang", "Risheng Qin", "Hongsheng Ma", "Yongchun Yang", "Chengyong Zhao" ], "first_author": "Zhi Xu", "venue": "Energies", "volume": "15", "pages": null, "type": "article", "language": "en", "abstract": "With the rapid development of cities and the increasing complexity of distribution network systems, the cableization of transmission lines and the diversification of power users have brought new challenges to the supply reliability of distribution networks. Short-time outages caused by power outages and maintenance are one of the factors that affect the reliability of the power supply in the distribution network. The non-stop load transfer through a phase-shifting transformer (PST) operation can effectively improve the reliability of power supply to complex distribution systems. Considering the operation mode and structure form and fault type of the urban distribution network in China, comparing and analyzing the applicable scenarios of different neutral grounding methods, and based on the structure and zero sequence path characteristics of PST, an improved PST-based phase shifting and grounding transformer loop closing device with low power consumption is proposed. The fault characteristics of the PST-based loop closing device under the small current grounding system are also analyzed by the sequence component method, and, finally, the effectiveness of the phase-shifting and grounding transformer device is verified by simulation under PSCAD/EMTDC for fault routing and protection configuration of the urban distribution network in China.", "keywords": [ "Ground", "Engineering", "Transformer", "Reliability engineering", "Earthing system", "Electric power system", "Electrical engineering", "Electronic engineering", "Power (physics)", "Voltage" ], "cited_by_openalex": 10, "cited_by_scopus": "13", "eid": "2-s2.0-85127419243", "pii": null, "open_access_url": "https://www.mdpi.com/1996-1073/15/7/2307/pdf?version=1647947790", "sources": [ { "db": "openalex", "stream": "TRUCK", "query_id": "TRUCK-2" }, { "db": "scopus", "stream": "TRUCK", "query_id": "TRUCK-2" } ], "streams": [ "TRUCK" ], "relevance_signals": [ "NO_TECHNOLOGY_MATCH" ], "auto_exclude_reason": "EC-4-topic", "screening_status": "auto_excluded", "screened_by": "auto-v1.0.0" }, { "id": "doi:10.1007/s12205-022-1948-6", "doi": "10.1007/s12205-022-1948-6", "title": "The Two Echelon Open Vehicle Routing Problem: Optimization of Crowdshipping Based Parcel Delivery", "year": 2022, "authors": [ "Xue Wu", "Dawei Hu", "Bingshan Ma", "Ruisen Jiang" ], "first_author": "Xue Wu", "venue": "KSCE Journal of Civil Engineering", "volume": "26", "pages": "4073-4085", "type": "article", "language": "en", "abstract": "Crowdshipping is a revolutionary concept of the sharing economy. In this study, two carriers are used to perform the following expedition: the truck starts from the depot to complete part of the deliveries, shares part of the load with the crowdshipper at the relay point, and the private driver selected as the crowdshipper continues from that point onward. This study proposes the two-echelon open vehicle routing problem with crowdshipping (2EOVRP-CS) and formulates a mathematical model to determine the crowdshipper, parcel relay location, truck route, and crowdsource route. A tangible nested genetic algorithm (NGA) is proposed, and its efficiency is demonstrated by comparison with CPLEX and genetic algorithm (GA). A real case study is investigated in Xi’an city to test the applicability of the proposed model. The results show that using crowdshipping instead of truck delivery alone can save approximately 14% of the total cost and 26% of truck vehicle miles traveled (VMT). Moreover, several sensitivity analyses are performed. The results show that crowdshipping is sensitive to the detour limit and the time value of carriers. For the detour limit, after the acceptable detour distance increases by 8%, the total cost can be reduced by up to 5.94%.", "keywords": [ "Truck", "Genetic algorithm", "Relay", "Vehicle routing problem", "Routing (electronic design automation)", "Point (geometry)", "Computer science", "Limit (mathematics)", "Total cost", "Mathematical optimization", "Transport engineering", "Simulation" ], "cited_by_openalex": 13, "cited_by_scopus": "13", "eid": "2-s2.0-85135255788", "pii": null, "open_access_url": "https://doi.org/10.1007/s12205-022-1948-6", "sources": [ { "db": "openalex", "stream": "TRUCK", "query_id": "TRUCK-3" }, { "db": "scopus", "stream": "TRUCK", "query_id": "TRUCK-3" } ], "streams": [ "TRUCK" ], "relevance_signals": [ "TRUCK" ], "auto_exclude_reason": null, "screening_status": "pending_human_screening", "screened_by": "auto-v1.0.0" }, { "id": "doi:10.1007/978-3-030-98872-2_12", "doi": "10.1007/978-3-030-98872-2_12", "title": "An Application of Interval Valued Pythagorean Fuzzy WASPAS Method for Drone Selection to Last Mile Delivery Operations", "year": 2022, "authors": [ "Ahmet Aktaş", "Mehmet Kabak" ], "first_author": "Ahmet Aktaş", "venue": "Multiple criteria decision making", "volume": null, "pages": "179-191", "type": "book-chapter", "language": "en", "abstract": null, "keywords": [ "Drone", "Mile", "Last mile (transportation)", "Pythagorean theorem", "Selection (genetic algorithm)", "Interval (graph theory)", "Fuzzy logic", "Operations research", "Computer science", "Engineering", "Mathematics", "Artificial intelligence" ], "cited_by_openalex": 13, "cited_by_scopus": "13", "eid": "2-s2.0-85139070992", "pii": null, "open_access_url": "https://doi.org/10.1007/978-3-030-98872-2_12", "sources": [ { "db": "openalex", "stream": "UAV", "query_id": "UAV-1" }, { "db": "scopus", "stream": "UAV", "query_id": "UAV-1" } ], "streams": [ "UAV" ], "relevance_signals": [ "UAV" ], "auto_exclude_reason": null, "screening_status": "pending_human_screening", "screened_by": "auto-v1.0.0" }, { "id": "doi:10.2514/6.2022-1506", "doi": "10.2514/6.2022-1506", "title": "Crash Area Estimation for Ground Risk of Small Unmanned Aerial Vehicles Due to Propulsion System Failures.", "year": 2022, "authors": [ "Mohd Hasrizam Che Man", "Hu Haoliang", "Kin Huat Low" ], "first_author": "Mohd Hasrizam Che Man", "venue": "AIAA SCITECH 2022 Forum", "volume": null, "pages": null, "type": "conference-paper", "language": "en", "abstract": "View Video Presentation: https://doi.org/10.2514/6.2022-1506.vid Drones or Unmanned Aerial Vehicles (UAVs) are expected to be used for different applications like parcel delivery, inspection, and aerial photography in the urban area. However, UAVs usually uses an electric system to power up the propulsion, communications, navigation, and flight control system, which means it is not as reliable as the manned aircraft system and may result in failure during operation and then crash to the ground. At present, there is almost no publication about the high-fidelity modeling used by UAVs to calculate the crash trajectory and point of crash. The experimental data for modeling and simulation verification of multi-rotor aircraft is limited. So far, crash trajectory prediction has been limited to point mass or ballistic methods, and these methods are usually only suitable for complete power failure and without any control system. This study intends to investigate the effects of different UAV failure modes on its crash trajectory and crash area compared to the ballistic model by using ADAMS and MATLAB co-simulation methods. Conclusions from the study show the crash trajectory, flight distance and impact speed of the UAV under four failure modes, which are quite different from the ballistic trajectory. The findings can potentially contribute to better risk assessment of the multi-rotor sUAV in the urban environment operation.", "keywords": [ "Crash", "Trajectory", "Propulsion", "Computer science", "Rotor (electric)", "Aerospace engineering", "Simulation", "Engineering", "Aeronautics" ], "cited_by_openalex": 14, "cited_by_scopus": "13", "eid": "2-s2.0-85123570072", "pii": null, "open_access_url": "https://dr.ntu.edu.sg/bitstream/10356/155948/3/Ground%20Risk%20Estimation%20AIAA%20Scitech%202022.pdf", "sources": [ { "db": "openalex", "stream": "UAV", "query_id": "UAV-1" }, { "db": "scopus", "stream": "UAV", "query_id": "UAV-1" } ], "streams": [ "UAV" ], "relevance_signals": [ "UAV" ], "auto_exclude_reason": null, "screening_status": "pending_human_screening", "screened_by": "auto-v1.0.0" }, { "id": "doi:10.1109/ickecs56523.2022.10060807", "doi": "10.1109/ickecs56523.2022.10060807", "title": "Solving Vehicle Routing Problem for Intelligent Systems using Delaunay Triangulation", "year": 2022, "authors": [ "M. Sakthivel", "Shashi Kant Gupta", "D.A. Karras", "Alex Khang", "Chandra Kumar Dixit", "Bhadrappa Haralayya" ], "first_author": "M. Sakthivel", "venue": "IEEE International Conference on Knowledge Engineering and Communication Systems Ickes 2022", "volume": null, "pages": null, "type": "conference-paper", "language": "en", "abstract": "Intelligent Systems are of many types. This work focuses mainly about the autonomous drones and UAVs. Only for military objectives were Unmanned Aerial Vehicles (UAV) invented and developed. They have lately increased in use, nevertheless, in the civil applications this study shall examine. This technology has a wide range of applications, including in agriculture, environmental protection, public safety, and traffic flow management. The use of unmanned aerial vehicles (UAVs) in smart cities is another promising new use for this technology. By 2050, the world's population is expected to have doubled. As a result, towns and communities face new difficulties and possibilities as a result of these expectations. For any smart city design, efficiency and cost-effectiveness are the primary objectives. After the global economic downturn, people's curiosity for smart cities has grown exponentially. Unmanned aerial vehicles' (UAVs') to discover the optimal route between a source and a destination, vehicle routing is a crucial field for study. There are a number of crucial considerations to be made in order to address these challenges in vehicle routing for UAVs. UAVs must be able to see where they are in relation to the map or graph in order to make these judgments. Planned routes for unmanned aerial vehicles are not only designed to minimize the risk of collisions, but they are also designed to be as efficient as possible. To get at the end destination in the least amount of time feasible, solution for vehicle routing problems is essential. In this work, we provide a solution to the vehicle routing issue in the form of an algorithm. The use of Delaunay triangulation is done to achieve the shortest path for the intelligent systems from source to destination. The experimental findings demonstrate that the Lin-Kernighan technique performs better than alternative algorithms for addressing the vehicle routing issue.", "keywords": [ "Drone", "Computer science", "Vehicle routing problem", "Routing (electronic design automation)", "Resilience (materials science)", "Population", "Transport engineering", "Operations research", "Engineering", "Computer network" ], "cited_by_openalex": 13, "cited_by_scopus": "13", "eid": "2-s2.0-85150683611", "pii": null, "open_access_url": "https://doi.org/10.1109/ickecs56523.2022.10060807", "sources": [ { "db": "openalex", "stream": "UAV", "query_id": "UAV-2" }, { "db": "scopus", "stream": "UAV", "query_id": "UAV-2" } ], "streams": [ "UAV" ], "relevance_signals": [ "UAV_NO_CTX" ], "auto_exclude_reason": "EC-4-topic", "screening_status": "auto_excluded", "screened_by": "auto-v1.0.0" }, { "id": "doi:10.3390/app122311995", "doi": "10.3390/app122311995", "title": "UGAVs-MDVR: A Cluster-Based Multicast Routing Protocol for Unmanned Ground and Aerial Vehicles Communication in VANET", "year": 2022, "authors": [ "Waqar Farooq", "Saif ul Islam", "Muazzam Ali Khan", "Saad Ur Rehman", "Usman Ali Gulzari", "Jalil Boudjadar" ], "first_author": "Waqar Farooq", "venue": "Applied Sciences", "volume": null, "pages": null, "type": "article", "language": "en", "abstract": "Unmanned ground vehicles (UGVs) are becoming the foremost part of rescue teams for protecting human lives from severe disasters and reducing human casualties by informing them about the risks ahead, such as mine detection and clearance. In mine detection, a centralized system is required so that the UGVs can communicate with each other efficiently to disseminate the mine detection messages (MDMs) to incoming vehicles of military and civilians. Therefore, in this piece of research, a novel unmanned ground and aerial vehicle (UGAV)-based mine-detection-vehicle routing (MDVR) protocol has been proposed, mainly for the mine detection and clearance teams using a vehicular ad hoc network (VANET). The protocol disseminates the MDMs using UGVs and unmanned aerial vehicles (UAVs) in combination to overcome the limitations of only inter-UGV communication. The proposed protocol performs cluster-based multicast communication in real time using UAVs so that the dynamic mobility of UGVs cannot affect the performance of MDM dissemination. Hence, the proposed scheme is adaptable because any failure in message delivery can cause a high level of destruction. The proposed cluster-based scheme can adapt to any real-time scenario by introducing the level-based cluster-head election scheme (LBCHE), which works concerning its assigned priority for reducing the delay incurred in MDMs dissemination. The simulation of the proposed protocol in the network simulator (NS) shows that the overhead and delay are reduced in MDMs dissemination. At the same time, the throughput, packet delivery ratio, and stability increased compared to the other competing protocols.", "keywords": [ "Multicast", "Computer network", "Computer science", "Vehicular ad hoc network", "Network packet", "Dissemination", "Routing protocol", "Protocol (science)", "Overhead (engineering)", "Throughput", "Wireless ad hoc network", "Scheme (mathematics)" ], "cited_by_openalex": 13, "cited_by_scopus": 0, "eid": null, "pii": null, "open_access_url": "https://www.mdpi.com/2076-3417/12/23/11995/pdf?version=1669346004", "sources": [ { "db": "openalex", "stream": "UAV", "query_id": "UAV-2" } ], "streams": [ "UAV" ], "relevance_signals": [ "UAV_NO_CTX" ], "auto_exclude_reason": "EC-4-topic", "screening_status": "auto_excluded", "screened_by": "auto-v1.0.0" }, { "id": "doi:10.4337/9781800373372", "doi": "10.4337/9781800373372", "title": "Innovations in Transport", "year": 2022, "authors": [ "van Duin, Ron", "W. Ploos van Amstel", "Quak, Hans", "van Wee, Bert", "Annema, Jan", "Köhler, Jonathan" ], "first_author": "van Duin, Ron", "venue": "Edward Elgar Publishing eBooks", "volume": null, "pages": null, "type": "book-chapter", "language": "en", "abstract": "Research finds that the global market value of cargo bikes will hit 2.4 billion euros by 2031. Analysts with Future Market Insights assessing the growth of cargo bikes have placed the parcel courier industry as a key buyer of electric cargo bikes, forecasting that 43 per cent of sales could go to this industry. This growth is driven by city logistics trends, particularly as studies emerge showing the high efficiency and cost saving of the cargo bike versus the delivery van. It will not solely be direct incentives that drive uptake, however. The policy that restricts motoring and emissions is expected to be a key driver for businesses that seek profitability, with three-wheeled electric cargo bikes making up nearly half the market. The advance of e-bike technology has seen a strong rise in market share for assisted cargo bikes, now accounting for a 73 per cent market share. Potentially limiting the growth is the legislation governing the output and range of electric cargo bikes (FMI, 2021). To deal with the issues of faster delivery, clean delivery (low/zero emission) and less space in dense cities, the light electric freight vehicle (LEFV) can be–and is used more and more as–an innovative solution. The way logistics in urban areas is organized is being challenged, as the global growth of cities leads to more jobs, more businesses and more residents. As a result, companies, workers, residents and visitors demand more goods and produce more waste. More space for logistics activities in and around cities is at odds with the growing need for accommodation for people living and working in cities. Book: Innovations in Transport: Success, Failure and Societal Impacts", "keywords": [ "Computer science", "Business" ], "cited_by_openalex": 12, "cited_by_scopus": 0, "eid": null, "pii": null, "open_access_url": "https://www.elgaronline.com/downloadpdf/book/9781800373372/9781800373372.pdf", "sources": [ { "db": "openalex", "stream": "TRUCK", "query_id": "TRUCK-1" } ], "streams": [ "TRUCK" ], "relevance_signals": [ "TRUCK" ], "auto_exclude_reason": null, "screening_status": "pending_human_screening", "screened_by": "auto-v1.0.0" }, { "id": "doi:10.7307/ptt.v34i5.4103", "doi": "10.7307/ptt.v34i5.4103", "title": "Modelling Distribution Routes in City Logistics by Applying Operations Research Methods", "year": 2022, "authors": [ "Ondřej Stopka" ], "first_author": "Ondřej Stopka", "venue": "PROMET - Traffic&Transportation", "volume": "34", "pages": "739-754", "type": "article", "language": "en", "abstract": "The article focuses on the up-to-date subject from the practical as well as scientific point of view. It specifically discusses a proposal of an approach concerning transport or distribution problems in the range of city logistics and investigates possibilities to use opted operations research methods in this particular area. Specific suggestions lie first and foremost in using selected tools of operations research (i.e. a set of methods concerning vehicle routing problem) to model multiple variants of distribution paths from a determined hub to multiple spokes in order to minimise the overall travelled distance in an urban area. As far as the very research goes, to define distribution paths to supply multiple logistics objects in the range of city logistics, ensuing methods are step by step used: Clarke-Wright algorithm, Mayer algorithm and the nearest neighbour algorithm. The article consists of a conceptual section, describing the relevant theory as well as data and methods used, the practical part and the section encompassing an assessment of the key findings, along with the discussion. A suitable combination of adequate operations research methods and their application to city logistics issues is where an innovative solution of this research lies.", "keywords": [ "Computer science", "Operations research", "City logistics", "Vehicle routing problem", "Range (aeronautics)", "Point (geometry)", "Section (typography)", "Wright", "Key (lock)", "Distribution (mathematics)", "Set (abstract data type)", "Management science" ], "cited_by_openalex": 9, "cited_by_scopus": "12", "eid": "2-s2.0-85141419616", "pii": null, "open_access_url": "https://traffic2.fpz.hr/index.php/PROMTT/article/download/88/20", "sources": [ { "db": "openalex", "stream": "TRUCK", "query_id": "TRUCK-2" }, { "db": "scopus", "stream": "TRUCK", "query_id": "TRUCK-2" } ], "streams": [ "TRUCK" ], "relevance_signals": [ "NO_TECHNOLOGY_MATCH" ], "auto_exclude_reason": "EC-4-topic", "screening_status": "auto_excluded", "screened_by": "auto-v1.0.0" }, { "id": "doi:10.3390/su142315827", "doi": "10.3390/su142315827", "title": "Research on Urban Distribution Routes Considering the Impact of Vehicle Speed on Carbon Emissions", "year": 2022, "authors": [ "Zhiying Yao", "Haiqing Cao", "Zhenliang Cui", "Yuru Wang", "Ning Huang" ], "first_author": "Zhiying Yao", "venue": "Sustainability", "volume": "14", "pages": null, "type": "article", "language": "en", "abstract": "To solve the low-carbon vehicle routing problem (VRP) with sustainable development background, the VRP considering the impact of vehicle speed on carbon emissions is studied. A vehicle routing optimization model aims to minimize the total cost of distribution, penalty cost and carbon emission cost. In the model, the driving time and carbon emissions are calculated on the basis of the varying vehicle speed matching the real road network. Moreover, the improved genetic algorithm is applied to optimize vehicle routing in this paper. Using the Solomon standard datasets, the experimental results validate the carbon emission cost and the total cost from the dynamic road network are lower than those from the static network; furthermore, the carbon emission cost and the total cost from the improved GE algorithm are much lower than those from the general GE algorithm in the dynamic road network. Obviously, the built model and the improved algorithm are more feasible and effective.", "keywords": [ "Vehicle routing problem", "Genetic algorithm", "Greenhouse gas", "Matching (statistics)", "Total cost", "Computer science", "Routing (electronic design automation)", "Carbon fibers", "Automotive engineering", "Mathematical optimization", "Environmental science", "Engineering" ], "cited_by_openalex": 10, "cited_by_scopus": "12", "eid": "2-s2.0-85143815356", "pii": null, "open_access_url": "https://www.mdpi.com/2071-1050/14/23/15827/pdf?version=1669636797", "sources": [ { "db": "openalex", "stream": "TRUCK", "query_id": "TRUCK-2" }, { "db": "scopus", "stream": "TRUCK", "query_id": "TRUCK-2" } ], "streams": [ "TRUCK" ], "relevance_signals": [ "NO_TECHNOLOGY_MATCH" ], "auto_exclude_reason": "EC-4-topic", "screening_status": "auto_excluded", "screened_by": "auto-v1.0.0" }, { "id": "doi:10.1007/978-3-031-16579-5_19", "doi": "10.1007/978-3-031-16579-5_19", "title": "Integrating Clustering Methodologies and Routing Optimization Algorithms for Last-Mile Parcel Delivery", "year": 2022, "authors": [ "Angie Ramírez-Villamil", "Jairo R. Montoya‐Torres", "Anicia Jaegler", "Juan M. Cuevas-Torres", "David L. Cortés-Murcia", "William J. Guerrero" ], "first_author": "Angie Ramírez-Villamil", "venue": "Lecture notes in computer science", "volume": "13557 LNCS", "pages": "275-287", "type": "conference-paper", "language": "en", "abstract": null, "keywords": [ "Computer science", "Vehicle routing problem", "Cluster analysis", "Heuristic", "Routing (electronic design automation)", "Context (archaeology)", "Reduction (mathematics)", "Operations research", "Mathematical optimization", "Artificial intelligence", "Computer network", "Engineering" ], "cited_by_openalex": 11, "cited_by_scopus": "12", "eid": "2-s2.0-85138767454", "pii": null, "open_access_url": "https://doi.org/10.1007/978-3-031-16579-5_19", "sources": [ { "db": "openalex", "stream": "TRUCK", "query_id": "TRUCK-2" }, { "db": "scopus", "stream": "TRUCK", "query_id": "TRUCK-2" } ], "streams": [ "TRUCK" ], "relevance_signals": [ "NO_TECHNOLOGY_MATCH" ], "auto_exclude_reason": "EC-4-topic", "screening_status": "auto_excluded", "screened_by": "auto-v1.0.0" }, { "id": "doi:10.1080/19427867.2022.2044581", "doi": "10.1080/19427867.2022.2044581", "title": "Optimisation of the electric truck route for milk collection problem: a real case study", "year": 2022, "authors": [ "Mehmet Erdem" ], "first_author": "Mehmet Erdem", "venue": "Transportation Letters", "volume": "15", "pages": "193-210", "type": "article", "language": "en", "abstract": "This study dwells upon the electric milk collection problem. The problem extends electric vehicle routing problem with time windows, considering multi-depot, multi-product, split deliveries, multi-compartment, fast chargers and fleet composition. The problem aims to create an effective routing decision-making system for electric trucks in transporting milk of different quality from producers (or milk collection points) in different locations to the factories. The objective of the electric milk collection problem is to minimize the sum of the total energy costs of electric trucks. We develop an adaptive general variable neighborhood search algorithm that involves several procedures having been tailored to handle specific features of the problem. We perform extensive computational experiments on real-life data to investigate the performance of the heuristics and offer particular insight. The results indicate that our algorithm successfully solves small- and large-scale instances in terms of solution quality and computational time. Our results also quantify the benefits of using fast charger types and fleet composition on the total energy costs.", "keywords": [ "Truck", "Heuristics", "Vehicle routing problem", "Computer science", "Quality (philosophy)", "Routing (electronic design automation)", "Mathematical optimization", "Operations research", "Automotive engineering", "Engineering", "Mathematics", "Embedded system" ], "cited_by_openalex": 16, "cited_by_scopus": "12", "eid": "2-s2.0-85125903140", "pii": null, "open_access_url": "https://doi.org/10.1080/19427867.2022.2044581", "sources": [ { "db": "openalex", "stream": "TRUCK", "query_id": "TRUCK-3" }, { "db": "scopus", "stream": "TRUCK", "query_id": "TRUCK-3" } ], "streams": [ "TRUCK" ], "relevance_signals": [ "TRUCK_NO_CTX" ], "auto_exclude_reason": "EC-4-topic", "screening_status": "auto_excluded", "screened_by": "auto-v1.0.0" }, { "id": "doi:10.3390/a15080265", "doi": "10.3390/a15080265", "title": "Modelling Cross-Docking in a Three-Level Supply Chain with Stochastic Service and Queuing System: MOWFA Algorithm", "year": 2022, "authors": [ "Parinaz Rostami", "Soroush Avakh Darestani", "Mitra Movassaghi" ], "first_author": "Parinaz Rostami", "venue": "Algorithms", "volume": "15", "pages": null, "type": "article", "language": "en", "abstract": "In today’s competitive world, it is essential to provide a new method through which maximum efficiency can be created in the production and supply cycle. In many production environments, sending goods directly from the producer to the consumer brings many problems. Therefore, an efficient transport system should be established between producers and consumers. Such a system is designed in the field of supply chain management knowledge. Supply chain management is the evolutionary result of warehousing management and is one of the important infrastructural foundations of business implementation, in many of which the main effort is to shorten the time between the customer’s order and the actual delivery of the goods. In this research, the supply chain consists of three levels. Suppliers are placed on the first level, cross-docks on the second level, and factories on the third level. In this system, a number of suppliers send different raw materials to several different cross-docks. Each channel is assigned to a cross-dock for a specific product. The main goal of this article is to focus on optimizing the planning of incoming and outgoing trucks with the aim of minimizing the total operation time within the supply chain. The arrival rate of goods from suppliers to the cross-dock is stochastic with a general probability distribution. On the other hand, the time required to prepare and send the goods is random with a general probability distribution. The service time in each cross-dock depends on the number of its doors. Therefore, each cross-dock can be modeled as a G/G/m queueing system where m represents the number of doors. The mathematical model of the research has been developed based on these assumptions. Since the problem is NP-hard, the time to solve it increases drastically with the increase in the dimensions of the problem. Therefore, three metaheuristics, including multi-objective water flow, non-dominated sorting genetic, and a multi-objective simulated annealing algorithm have been used to find near-optimal solutions to the problem. After adjusting the parameters of the algorithms using the Taguchi method, the results obtained from the algorithms were analyzed with a statistical test and the performance of the algorithms was evaluated. The results vividly demonstrate that non-dominated sorting genetics is the best of all.", "keywords": [ "Supply chain", "Computer science", "Supply chain management", "Truck", "Operations research", "Service (business)", "Service level", "Production (economics)", "Product (mathematics)", "Order fulfillment", "Service management", "Fast fashion" ], "cited_by_openalex": 9, "cited_by_scopus": "12", "eid": "2-s2.0-85137260486", "pii": null, "open_access_url": "https://www.mdpi.com/1999-4893/15/8/265/pdf?version=1660117476", "sources": [ { "db": "openalex", "stream": "TRUCK", "query_id": "TRUCK-3" }, { "db": "scopus", "stream": "TRUCK", "query_id": "TRUCK-3" } ], "streams": [ "TRUCK" ], "relevance_signals": [ "TRUCK_NO_CTX" ], "auto_exclude_reason": "EC-4-topic", "screening_status": "auto_excluded", "screened_by": "auto-v1.0.0" }, { "id": "doi:10.1177/03611981221108378", "doi": "10.1177/03611981221108378", "title": "Multiple-Drones-Multiple-Trucks Routing Problem for Disruption Assessment", "year": 2022, "authors": [ "Alireza Ermagun", "Nazanin Tajik" ], "first_author": "Alireza Ermagun", "venue": "Transportation Research Record Journal of the Transportation Research Board", "volume": "2677", "pages": "725-740", "type": "article", "language": "en", "abstract": "This study proposes a multiple-drones-multiple-trucks (MDMT) routing problem to assess infrastructure in the areas of disruption epicenters using multiple drones that operate in synchronicity with multiple trucks. Incorporating the trucks as moving depots enables drones to move across disrupted areas further from their flight range. The MDMT routing problem is formulated as mixed integer linear programming (MILP). This is an NP-Hard (Non-deterministic Polynomial-time Hardness) problem, which is solved by introducing a greedy heuristic algorithm to cluster the disrupted locations and plan each drone’s schedule within each disrupted cluster and between clusters. Both MILP and the greedy heuristic algorithm are tested for small to large test problems extracted from the Minneapolis–St. Paul freeway system with a grid-like network topology. Results show that disrupted locations’ spatial distribution affects the efficient number of active drones and trucks in the system. When direct travel between two nodes takes longer than other alternative paths, increasing the number of trucks accelerates the assessment procedure. Findings also indicate that the spatial distribution of disruptions clustered by the greedy heuristic algorithm is correlated with the routing time and affects drone scheduling. If clusters are scattered, each drone is typically assigned to one cluster for damage assessments. With a dense pocket of clusters in the network, however, a drone moves back and forth between multiple clusters. The proposed framework for disruption assessment provides insights on the optimal deployment of resources to collect information following a network disruption. Practitioners will also benefit from the findings to augment resource management.", "keywords": [ "Drone", "Truck", "Greedy algorithm", "Computer science", "Routing (electronic design automation)", "Integer programming", "Scheduling (production processes)", "Heuristic", "Cluster analysis", "Schedule", "Linear programming", "Mathematical optimization" ], "cited_by_openalex": 13, "cited_by_scopus": "12", "eid": "2-s2.0-85142469845", "pii": null, "open_access_url": "https://doi.org/10.1177/03611981221108378", "sources": [ { "db": "openalex", "stream": "TRUCK", "query_id": "TRUCK-3" }, { "db": "openalex", "stream": "UAV", "query_id": "UAV-2" }, { "db": "scopus", "stream": "TRUCK", "query_id": "TRUCK-3" }, { "db": "scopus", "stream": "UAV", "query_id": "UAV-2" } ], "streams": [ "TRUCK", "UAV" ], "relevance_signals": [ "UAV_NO_CTX", "TRUCK_NO_CTX" ], "auto_exclude_reason": "EC-4-topic", "screening_status": "auto_excluded", "screened_by": "auto-v1.0.0" }, { "id": "doi:10.1155/2022/6599089", "doi": "10.1155/2022/6599089", "title": "Truck and Unmanned Vehicle Routing Problem with Time Windows: A Satellite Synchronization Perspective", "year": 2022, "authors": [ "Hongqi Li", "Jiamin Zhao", "Zhuopeng Zhan" ], "first_author": "Hongqi Li", "venue": "Journal of Advanced Transportation", "volume": "2022", "pages": null, "type": "article", "language": "en", "abstract": "We consider an important feature of satellite synchronization in the practical scenario of using unmanned vehicles (UVs) carried by trucks for “last-meter” delivery and introduce the truck and UV routing problem with time windows (TUVRP-TW) for optimizing the routes of a homogeneous fleet of truck-UV combinations. A UV that has been dispatched from its truck must be picked up by the same truck or must return by itself to the depot. Customers with time windows are classified into two types: truck-UV customers (TUCs) and UV customers (UCs). The TUCs where trucks dispatch or pick up the carried UVs are regarded as satellites. Fleet coordination and satellite synchronization are essential for modelling the TUVRP-TW. We classify satellite synchronization into inner-satellite synchronization and intersatellite synchronization. The inner-satellite synchronization generally considered in the literature focuses on synchronization operations at the same satellite. Intersatellite synchronization, which focuses on synchronization operations at various satellites, allows UVs to not return to the dispatched locations, if necessary. In the mixed-integer linear programming model of the TUVRP-TW, both binary variables for identifying the appointed satellites and continuous variables for time continuity constraints are introduced to ensure the interaction between truck routes and UV routes. A hybrid algorithm based on a greedy randomized adaptive search procedure (GRASP) and a variable neighborhood search (VNS) is provided. Based on generated instances and benchmark instances, computational experiments are conducted to evaluate the performance of the intersatellite synchronization, the performance of the developed formulation, and the applicability of the hybrid algorithm.", "keywords": [ "Truck", "Synchronization (alternating current)", "Real-time computing", "Computer science", "Satellite", "Benchmark (surveying)", "Simulation", "Engineering", "Computer network", "Automotive engineering", "Aerospace engineering" ], "cited_by_openalex": 9, "cited_by_scopus": "12", "eid": "2-s2.0-85130690813", "pii": null, "open_access_url": "https://downloads.hindawi.com/journals/jat/2022/6599089.pdf", "sources": [ { "db": "openalex", "stream": "TRUCK", "query_id": "TRUCK-3" }, { "db": "scopus", "stream": "TRUCK", "query_id": "TRUCK-3" } ], "streams": [ "TRUCK" ], "relevance_signals": [ "TRUCK_NO_CTX" ], "auto_exclude_reason": "EC-4-topic", "screening_status": "auto_excluded", "screened_by": "auto-v1.0.0" }, { "id": "doi:10.1109/smap56125.2022.9942122", "doi": "10.1109/smap56125.2022.9942122", "title": "Last-Mile Delivery Options: Exploring Customer Preferences and Challenges", "year": 2022, "authors": [ "Evangelia Filiopoulou", "Cleopatra Bardaki", "Dimitrios Boukouvalas", "Μάρα Νικολαϊδου", "Panos E. Kourouthanassis" ], "first_author": "Evangelia Filiopoulou", "venue": "2022 17th International Workshop on Semantic and Social Media Adaptation and Personalization Smap 2022", "volume": null, "pages": null, "type": "conference-paper", "language": "en", "abstract": "As consumers turn more and more to on-line shopping, requirements such as on time delivery and delivery cost saving are of major importance. Retail and logistics companies struggle to find strategies that offer a successful and fast last-mile delivery service that satisfies consumers’ preferences and expectations. Last-mile delivery is an opportunity, as well as a challenge for e-commerce retailers and logistics companies because it needs to satisfy customers’ preferences, offering the best customer experience. This paper explores Greek consumers’ preferences of last-mile delivery alternatives. We investigate the potential of using drone delivery and the challenges the consumers face during tracking their order delivery. We conducted a survey with 174 participants exploring their online shopping behavior, which delivery options they prefer, what delivery challenges they face (e.g. home delivery without prior notice) and which factors influence their delivery decisions (e.g. delivery time-flexibility and time saving). Keywords: Last-mile delivery, Drones, pick-up point", "keywords": [ "Last mile (transportation)", "Notice", "Business", "Mile", "Drone", "Flexibility (engineering)", "Service delivery framework", "Delivery Performance", "Marketing", "Order (exchange)", "Point (geometry)", "Service (business)" ], "cited_by_openalex": 9, "cited_by_scopus": "12", "eid": "2-s2.0-85143079333", "pii": null, "open_access_url": "https://doi.org/10.1109/smap56125.2022.9942122", "sources": [ { "db": "openalex", "stream": "UAV", "query_id": "UAV-1" }, { "db": "scopus", "stream": "UAV", "query_id": "UAV-1" } ], "streams": [ "UAV" ], "relevance_signals": [ "UAV" ], "auto_exclude_reason": null, "screening_status": "pending_human_screening", "screened_by": "auto-v1.0.0" }, { "id": "doi:10.1016/j.cja.2022.08.016", "doi": "10.1016/j.cja.2022.08.016", "title": "Adaptive vector field based accurate homing control of aerial delivery systems", "year": 2022, "authors": [ "Yiming Guo", "Jianguo Yan", "Cihang Wu", "Xiwei Wu", "Bing Xiao" ], "first_author": "Yiming Guo", "venue": "Chinese Journal of Aeronautics", "volume": "36", "pages": "256-269", "type": "article", "language": "en", "abstract": "This paper investigates the homing control problem of a flexible aerial delivery system with external wind, at-mospheric turbulence, and aerodynamic uncertainties. An accurate homing control strategy is presented, consisting of a trajectory generation algorithm and a lateral tracking controller. A high-altitude trajectory generation is de-veloped with system characteristics explicitly considered to generate the desired trajectory for the aerial delivery control system design. It significantly compensates for the altitude deviation of the existing multiphase theory based trajectory generation methodologies. A novel adaptive vector field control law is then designed to accom-plish the lateral tracking maneuvers. The key feature of the proposed method is that the complete lateral closed-loop control, including position and heading angle loops, is achieved in the presence of disturbances and dynamic uncertainties. The homing control with high landing accuracy is therefore achieved. Simulation and hardware-in-loop testing results are finally presented to validate the proposed method’s effectiveness compared to a conventional homing control scheme.", "keywords": [ "Control theory (sociology)", "Trajectory", "Control system", "Homing (biology)", "Engineering", "Control engineering", "Controller (irrigation)", "Computer science", "Control (management)", "Artificial intelligence", "Physics" ], "cited_by_openalex": 11, "cited_by_scopus": "12", "eid": "2-s2.0-85143855641", "pii": "S1000936122001868", "open_access_url": "https://www.sciencedirect.com/science/article/pii/S1000936122001868/pdf", "sources": [ { "db": "openalex", "stream": "UAV", "query_id": "UAV-3" }, { "db": "scopus", "stream": "UAV", "query_id": "UAV-3" } ], "streams": [ "UAV" ], "relevance_signals": [ "UAV_NO_CTX" ], "auto_exclude_reason": "EC-4-topic", "screening_status": "auto_excluded", "screened_by": "auto-v1.0.0" }, { "id": "doi:10.2514/6.2022-2167", "doi": "10.2514/6.2022-2167", "title": "Second Generation UAM Community Noise Assessment Using the FAA Aviation Environmental Design Tool", "year": 2022, "authors": [ "Stephen A. Rizzi", "Menachem Rafaelof" ], "first_author": "Stephen A. Rizzi", "venue": "AIAA SCITECH 2022 Forum", "volume": null, "pages": null, "type": "conference-paper", "language": "en", "abstract": "View Video Presentation: https://doi.org/10.2514/6.2022-2167.vid Vehicles serving the urban air mobility (UAM) market are anticipated to operate in communities close to the public at large. The approved model for assessing environmental impact of air traffic actions in the United States, the Federal Aviation Administration’s Aviation Environmental Design Tool (AEDT), does not support analysis of such operations due to a combined lack of a UAM aircraft performance model and aircraft noise data. This paper discusses second-generation developments to assess the acoustic impact of UAM fleet operations on the community using AEDT and demonstrates its use for representative UAM operations. In particular, methods were developed to add broadband self noise into computed noise-power-distance data, and vertiport-centric operations were evaluated for two concept vehicles.", "keywords": [ "Aviation", "Noise (video)", "Broadband", "Environmental impact assessment", "Aircraft noise", "Aeronautics", "Transport engineering", "Computer science", "Engineering", "Environmental science", "Telecommunications", "Aerospace engineering" ], "cited_by_openalex": 11, "cited_by_scopus": "12", "eid": "2-s2.0-85123883608", "pii": null, "open_access_url": "https://doi.org/10.2514/6.2022-2167", "sources": [ { "db": "openalex", "stream": "UAV", "query_id": "UAV-3" }, { "db": "scopus", "stream": "UAV", "query_id": "UAV-3" } ], "streams": [ "UAV" ], "relevance_signals": [ "UAV_NO_CTX" ], "auto_exclude_reason": "EC-4-topic", "screening_status": "auto_excluded", "screened_by": "auto-v1.0.0" }, { "id": "doi:10.1109/dasc55683.2022.9925865", "doi": "10.1109/dasc55683.2022.9925865", "title": "Urban Air Mobility (UAM) and Total Mobility Innovation Framework and Analysis Case Study: Boston Area Digital Twin and Economic Analysis", "year": 2022, "authors": [ "Tuchen S." ], "first_author": "Tuchen S.", "venue": "AIAA IEEE Digital Avionics Systems Conference Proceedings", "volume": "2022-September", "pages": null, "type": "Conference Paper", "language": null, "abstract": null, "keywords": [], "cited_by_openalex": 0, "cited_by_scopus": "12", "eid": "2-s2.0-85141937783", "pii": null, "open_access_url": null, "sources": [ { "db": "scopus", "stream": "UAV", "query_id": "UAV-3" } ], "streams": [ "UAV" ], "relevance_signals": [ "NO_TECHNOLOGY_MATCH" ], "auto_exclude_reason": "EC-4-topic", "screening_status": "auto_excluded", "screened_by": "auto-v1.0.0" }, { "id": "doi:10.3390/en15114058", "doi": "10.3390/en15114058", "title": "Urban Freight Transport Electrification in Westbank, Palestine: Environmental and Economic Benefits", "year": 2022, "authors": [ "Fady M. A. Hassouna" ], "first_author": "Fady M. A. Hassouna", "venue": "Energies", "volume": "15", "pages": null, "type": "article", "language": "en", "abstract": "Recently, due to the industrial and e-commerce revolution, the freight transport sector has grown rapidly and has become one of the key factors for economic development. Coupled with the growth of this sector, significant energy and environmental problems have arisen. Therefore, a huge effort has been made around the world in order to develop some solutions that could mitigate these problems. One of these promising solutions is electrifying the urban freight transport sector including the trucks and freight commercial vehicles fleets. In Palestine, as in other developing countries, the implications of this solution are still unquantified and the efficiency of the application is unpredicted. Therefore, this has necessitated a comprehensive study that considers all the relevant factors, such as the source of the electricity (renewable energy, oils, natural gas, etc.), fuel rates, and electricity rates. In this study, a prediction model has been developed using the historical data for the number of trucks and freight commercial vehicles over the period 2006–2020. Next, the total travelled kilometers, the total fuel consumption, and the total electricity consumption by the urban freight transport sector have been determined based on two scenarios (5% and 20% penetration of electric freight transport modes) during the next 10 years. Finally, the amounts of reduction in GHG emissions and the energy cost have been determined. The results have shown a significant reduction in the amount of GHG emission during the next 10 years by electrifying 20% of the freight transport sector in Westbank, Palestine. Moreover, an annual reduction of 66 million U.S $ could be achieved in total energy costs in this region.", "keywords": [ "Electrification", "Truck", "Greenhouse gas", "Electricity", "Renewable energy", "Fuel efficiency", "Energy consumption", "Traffic management", "Natural resource economics", "Market penetration", "Transport engineering", "Business" ], "cited_by_openalex": 10, "cited_by_scopus": "11", "eid": "2-s2.0-85132289159", "pii": null, "open_access_url": "https://www.mdpi.com/1996-1073/15/11/4058/pdf?version=1654053507", "sources": [ { "db": "openalex", "stream": "TRUCK", "query_id": "TRUCK-1" }, { "db": "scopus", "stream": "TRUCK", "query_id": "TRUCK-1" } ], "streams": [ "TRUCK" ], "relevance_signals": [ "TRUCK" ], "auto_exclude_reason": null, "screening_status": "pending_human_screening", "screened_by": "auto-v1.0.0" }, { "id": "doi:10.53555/kuey.v28i4.8258", "doi": "10.53555/kuey.v28i4.8258", "title": "Machine Learning Applications in Fleet Electrification: Optimizing Vehicle Maintenance and Energy Consumption", "year": 2022, "authors": [ "Rama Chandra Rao Nampalli" ], "first_author": "Rama Chandra Rao Nampalli", "venue": null, "volume": null, "pages": null, "type": "article", "language": "en", "abstract": "The electric vehicle (EV) market has been growing not only for passenger vehicles, where we witness high adoption of these cleaner cars, divided into Hybrid Electric Vehicles (HEVs), Plug-In Electric Vehicles (PHEVs), and Battery Electric Vehicles (BEVs), but also in buses, trucks, and vans, with an increasing conversion pressure due to regulations. In last-mile delivery, powerful optimization tools combining machine learning with operations research have become the subject of several studies, aiming to achieve efficient energy consumption in EVs by predicting drivers’ behaviors or track charts. Moreover, new strategies have been developed for something known as fleet electrification, i.e., when a carrier company aiming mainly to decrease its environmental footprint combines the operation of conventional fuel-powered vehicles with electric ones; this is not a complete switchover, but an intermediate stage. Since computational methods converged, fleet electrification attracted researchers’ interest as a techno-economical optimization question related to three main research lines with a strong potential impact on environmental electricity: energy mix-related carbon emissions. The first category of services that impacted fleet electrification before the advent of machine learning was related to condition-based maintenance. As commercial gas, electricity, heating oil, and water consumption can be budgeted across a year’s worth of monthly payments, fixing a price through the year could help these fleets include commercial formulations that account for released corporate emissions through approved carbon offsetting. In concrete numbers, our technical paper has two key goals: firstly, we investigate whether and to what extent the Vehicle Misuse Factor, as defined, and the initial state of relevant vehicle parts (tires, gearbox, motor, etc.) affect the electric energy consumption of EVs; secondly, we propose and solve the cost minimization model arising from this energy consumption prediction.", "keywords": [ "Electrification", "Energy consumption", "Automotive engineering", "Consumption (sociology)", "Computer science", "Transport engineering", "Engineering", "Aeronautics", "Electricity", "Electrical engineering" ], "cited_by_openalex": 11, "cited_by_scopus": 0, "eid": null, "pii": null, "open_access_url": "https://doi.org/10.53555/kuey.v28i4.8258", "sources": [ { "db": "openalex", "stream": "TRUCK", "query_id": "TRUCK-1" } ], "streams": [ "TRUCK" ], "relevance_signals": [ "TRUCK" ], "auto_exclude_reason": null, "screening_status": "pending_human_screening", "screened_by": "auto-v1.0.0" }, { "id": "doi:10.3390/math10020191", "doi": "10.3390/math10020191", "title": "A Rich Vehicle Routing Problem for a City Logistics Problem", "year": 2022, "authors": [ "Daniela Ambrosino", "Carmine Cerrone" ], "first_author": "Daniela Ambrosino", "venue": "Mathematics", "volume": "10", "pages": null, "type": "article", "language": "en", "abstract": "In this work, a Rich Vehicle Routing Problem (RVRP) is faced for solving city logistic problems. In particular, we deal with the problem of a logistic company that has to define the best distribution strategy for obtaining an efficient usage of vehicles and for reducing transportation costs while serving customers with different priority demands during a given planning horizon. Thus, we deal with a multi-period vehicle routing problem with a heterogeneous fleet of vehicles, with customers’ requirements and company restrictions to satisfy, in which the fleet composition has to be daily defined. In fact, the company has a fleet of owned vehicles and the possibility to select, day by day, a certain number of vehicles from the fleet of a third-party company. Routing costs must be minimized together with the number of vehicles used. A mixed integer programming model is proposed, and an experimental campaign is presented for validating it. Tests have been used for evaluating the quality of the solutions in terms of both model behavior and service level to grant to the customers. Moreover, the benefits that can be obtained by postponing deliveries are evaluated. Results are discussed, and some conclusions are highlighted, including the possibility of formulating this problem in such a way as to use the general solver proposed in the recent literature. This seems to be the most interesting challenge to permit companies to improve the distribution activities.", "keywords": [ "Vehicle routing problem", "Solver", "Time horizon", "Operations research", "Computer science", "Routing (electronic design automation)", "Work (physics)", "Service (business)", "Fleet management", "Integer programming", "Distribution (mathematics)", "City logistics" ], "cited_by_openalex": 8, "cited_by_scopus": "11", "eid": "2-s2.0-85122658542", "pii": null, "open_access_url": "https://www.mdpi.com/2227-7390/10/2/191/pdf?version=1641642567", "sources": [ { "db": "openalex", "stream": "TRUCK", "query_id": "TRUCK-2" }, { "db": "scopus", "stream": "TRUCK", "query_id": "TRUCK-2" } ], "streams": [ "TRUCK" ], "relevance_signals": [ "NO_TECHNOLOGY_MATCH" ], "auto_exclude_reason": "EC-4-topic", "screening_status": "auto_excluded", "screened_by": "auto-v1.0.0" }, { "id": "doi:10.1080/21693277.2022.2083714", "doi": "10.1080/21693277.2022.2083714", "title": "Design and analysis of AGV-based cross-docking operations using analytical models", "year": 2022, "authors": [ "Xiao He", "Vittaldas V. Prabhu" ], "first_author": "Xiao He", "venue": "Production & Manufacturing Research", "volume": "10", "pages": "428-449", "type": "article", "language": "en", "abstract": "Cross-docking is important for logistics because it reduces inventory, lead-times, and shipments. However, dynamic imbalances between supply and demand usually results in some inventory being warehoused in cross-docks. Therefore, flexible automation using robots, such as automated guided vehicles (AGV), can be used to improve performance of cross-docking, a trend in industry. This paper focuses on mathematical modeling of cross-docking operations when packages are moved in AGVs. A model based on Mean Value Analysis (MVA) is developed for determining the number of AGVs and estimating the service rate. This service rate is used as a parameter in a fork/join queuing model to characterize the performance of cross-docks in which outbound trucks get their packages directly from in-bound trucks as well as warehouses by estimating the queue lengths and mean sojourn times. The efficacy of the combined MVA and fork/join analytical models is verified using a discrete-event simulation as a case study, which shows that the models are largely in agreement in a test range with difference of 28% at the lowest throughput tested. Future study could use advances in sensors and Industry 4.0 for estimating parameters in the proposed models and improve performance and sustainability.", "keywords": [ "Queue", "Truck", "Queueing theory", "Automation", "Computer science", "Cross-validation", "Discrete event simulation", "Simulation", "Automated guided vehicle", "Fork (system call)", "Operations research", "Engineering" ], "cited_by_openalex": 11, "cited_by_scopus": "11", "eid": "2-s2.0-85133089285", "pii": null, "open_access_url": "https://doi.org/10.1080/21693277.2022.2083714", "sources": [ { "db": "openalex", "stream": "TRUCK", "query_id": "TRUCK-3" }, { "db": "scopus", "stream": "TRUCK", "query_id": "TRUCK-3" } ], "streams": [ "TRUCK" ], "relevance_signals": [ "TRUCK_NO_CTX" ], "auto_exclude_reason": "EC-4-topic", "screening_status": "auto_excluded", "screened_by": "auto-v1.0.0" }, { "id": "doi:10.1016/j.ejtl.2022.100095", "doi": "10.1016/j.ejtl.2022.100095", "title": "Scheduling cross-docking operations under uncertainty: A stochastic genetic algorithm based on scenarios tree", "year": 2022, "authors": [ "Andrea Gallo", "Riccardo Accorsi", "Renzo Akkerman", "Riccardo Manzini" ], "first_author": "Andrea Gallo", "venue": "EURO Journal on Transportation and Logistics", "volume": "11", "pages": null, "type": "article", "language": "en", "abstract": "A cross-docking terminal enables consolidating and sorting fast-moving products along supply chain networks and reduces warehousing costs and transportation efforts. The target efficiency of such logistic systems results from synchronizing the physical and information flows while scheduling receiving, shipping and handling operations. Within the tight time-windows imposed by fast-moving products (e.g., perishables), a deterministic schedule hardly adheres to real-world environments because of the uncertainty in trucks arrivals. In this paper, a stochastic MILP model formulates the minimization of penalty costs from exceeding the time-windows under uncertain truck arrivals. Penalty costs are affected by products' perishability or the expected customer’ service level. A validating numerical example shows how to solve (1) dock-assignment, (2) while prioritizing the unloading tasks, and (3) loaded trucks departures with a small instance. A tailored stochastic genetic algorithm able to explore the uncertain scenarios tree and optimize cross-docking operations is then introduced to solve scaled up instances. The proposed genetic algorithm is tested on a real-world problem provided by a national delivery service network managing the truck-to-door assignment, the loading, unloading, and door-to-door handling operations of a fleet of 271 trucks within two working shifts. The obtained solution improves the deterministic schedule reducing the penalty costs of 60%. Such results underline the impact of unpredicted trucks’ delay and enable assessing the savings from increasing the number of doors at the cross-dock.", "keywords": [ "Truck", "Computer science", "Genetic algorithm", "Schedule", "Scheduling (production processes)", "Operations research", "Mathematical optimization", "DOCK", "Stochastic programming", "Job shop scheduling", "Engineering", "Mathematics" ], "cited_by_openalex": 10, "cited_by_scopus": "11", "eid": "2-s2.0-85141787173", "pii": "S2192437622000206", "open_access_url": "https://www.sciencedirect.com/science/article/pii/S2192437622000206/pdf", "sources": [ { "db": "openalex", "stream": "TRUCK", "query_id": "TRUCK-3" }, { "db": "scopus", "stream": "TRUCK", "query_id": "TRUCK-3" } ], "streams": [ "TRUCK" ], "relevance_signals": [ "TRUCK_NO_CTX" ], "auto_exclude_reason": "EC-4-topic", "screening_status": "auto_excluded", "screened_by": "auto-v1.0.0" }, { "id": "doi:10.1016/j.compchemeng.2022.107897", "doi": "10.1016/j.compchemeng.2022.107897", "title": "Optimisation frameworks for integrated planning with allocation of transportation resources for industrial gas supply chains", "year": 2022, "authors": [ "Yena L. Lee", "José Mauricio Pinto", "Lazaros G. Papageorgiou" ], "first_author": "Yena L. Lee", "venue": "Computers & Chemical Engineering", "volume": "164", "pages": null, "type": "article", "language": "en", "abstract": null, "keywords": [ "Truck", "Purchasing", "Production (economics)", "Supply chain", "Integer programming", "Plan (archaeology)", "Constraint (computer-aided design)", "Linear programming", "Operations research", "Production planning", "Automotive industry", "Column generation" ], "cited_by_openalex": 9, "cited_by_scopus": "11", "eid": "2-s2.0-85133861971", "pii": "S0098135422002356", "open_access_url": "https://discovery.ucl.ac.uk/10159933/1/CACE-CO2sc.pdf", "sources": [ { "db": "openalex", "stream": "TRUCK", "query_id": "TRUCK-3" }, { "db": "scopus", "stream": "TRUCK", "query_id": "TRUCK-3" } ], "streams": [ "TRUCK" ], "relevance_signals": [ "TRUCK_NO_CTX" ], "auto_exclude_reason": "EC-4-topic", "screening_status": "auto_excluded", "screened_by": "auto-v1.0.0" }, { "id": "doi:10.1155/2022/4100049", "doi": "10.1155/2022/4100049", "title": "Concrete Vehicle Scheduling Based on Immune Genetic Algorithm", "year": 2022, "authors": [ "Jie Yang", "Bin Yue", "Feifei Feng", "Jinfa Shi", "Haoyang Zong", "Junxu Ma", "Linjian Shangguan", "Shuai Li" ], "first_author": "Jie Yang", "venue": "Mathematical Problems in Engineering", "volume": "2022", "pages": null, "type": "article", "language": "en", "abstract": "At present, the demand for ready-mixed concrete (RMC) in construction industry is increasing day by day, and the supply mode of multiple delivery depots corresponding to multiple construction sites has been widely used. In order to further improve the joint distribution efficiency between various delivery depots, this research establishes a multiobjective optimal distribution model with time window constraints and demand postponement attributes for the problem that the subbatching plants need to work together. The model divides the reasons for demand postponement into two types: the constraint for timely unloading of trucks cannot be met on time and the constraint for timely pouring at the construction site cannot be met on time. This work improved the coding method of genetic algorithm based on the characteristics of the distribution model. Using hierarchical real-coding form, the coding operator of each layer can be evolved separately, which ensures the globality of the search, and, at the same time, an improved immune operator is added to ensure the local search performance. By comparison, the results obtained by improved GA are 7.05% higher than those of the standard GA, and the early convergence speed of improved GA is obviously better than that of the standard GA. The simulation experiments show that the total trucks’ waiting time during the process of providing delivery services from 5 concrete plants to 8 construction sites is 769 minutes, and the total waiting time of 8 construction sites is 507 minutes. Through practical case analysis, this work can enable RMC production enterprises and construction sites to effectively reduce the waiting time of corresponding operations, and the obtained results are close to the simulation results. The proposed method indeed improves the efficiency of RMC distribution.", "keywords": [ "Postponement", "Coding (social sciences)", "Truck", "Computer science", "Scheduling (production processes)", "Tardiness", "Genetic algorithm", "Mathematical optimization", "Operations research", "Job shop scheduling", "Engineering", "Operations management" ], "cited_by_openalex": 7, "cited_by_scopus": "11", "eid": "2-s2.0-85132035494", "pii": null, "open_access_url": "https://downloads.hindawi.com/journals/mpe/2022/4100049.pdf", "sources": [ { "db": "openalex", "stream": "TRUCK", "query_id": "TRUCK-3" }, { "db": "scopus", "stream": "TRUCK", "query_id": "TRUCK-3" } ], "streams": [ "TRUCK" ], "relevance_signals": [ "TRUCK_NO_CTX" ], "auto_exclude_reason": "EC-4-topic", "screening_status": "auto_excluded", "screened_by": "auto-v1.0.0" }, { "id": "doi:10.1016/j.scitotenv.2022.161024", "doi": "10.1016/j.scitotenv.2022.161024", "title": "An assessment of higher-value recyclable wastes in Mexico City households using a novel waste collector citizen science approach", "year": 2022, "authors": [ "V.C. Shruti", "Gurusamy Kutralam-Muniasamy", "Fermín Pérez‐Guevara", "Priyadarsi Debajyoti Roy" ], "first_author": "V.C. Shruti", "venue": "The Science of The Total Environment", "volume": "863", "pages": null, "type": "article", "language": "en", "abstract": null, "keywords": [ "Truck", "cardboard", "Municipal solid waste", "Household waste", "Waste collection", "Waste management", "Business", "Distribution (mathematics)", "Environmental science", "Engineering" ], "cited_by_openalex": 11, "cited_by_scopus": "11", "eid": "2-s2.0-85144338394", "pii": "S004896972208127X", "open_access_url": "https://doi.org/10.1016/j.scitotenv.2022.161024", "sources": [ { "db": "openalex", "stream": "TRUCK", "query_id": "TRUCK-3" }, { "db": "scopus", "stream": "TRUCK", "query_id": "TRUCK-3" } ], "streams": [ "TRUCK" ], "relevance_signals": [ "TRUCK_NO_CTX" ], "auto_exclude_reason": "EC-4-topic", "screening_status": "auto_excluded", "screened_by": "auto-v1.0.0" }, { "id": "doi:10.2139/ssrn.4214918", "doi": "10.2139/ssrn.4214918", "title": "Last-mile Delivery in Health Care: Drone Delivery for Blood Products in Rwanda", "year": 2022, "authors": [ "H. Harriet Jeon", "Claudio Lucarelli", "Jean Baptiste Mazarati", "Donatien Ngabo", "Hummy Song" ], "first_author": "H. Harriet Jeon", "venue": "SSRN Electronic Journal", "volume": null, "pages": null, "type": "preprint", "language": "en", "abstract": null, "keywords": [ "Leapfrogging", "Mile", "Last mile (transportation)", "Business", "Health care delivery", "Health care", "Medical emergency", "Medicine", "Geography", "Economics", "Economic growth" ], "cited_by_openalex": 11, "cited_by_scopus": 0, "eid": null, "pii": null, "open_access_url": "https://doi.org/10.2139/ssrn.4214918", "sources": [ { "db": "openalex", "stream": "UAV", "query_id": "UAV-1" } ], "streams": [ "UAV" ], "relevance_signals": [ "UAV" ], "auto_exclude_reason": null, "screening_status": "pending_human_screening", "screened_by": "auto-v1.0.0" }, { "id": "doi:10.1109/ccnc49033.2022.9700528", "doi": "10.1109/ccnc49033.2022.9700528", "title": "4G/5G performance of a multi-RAT UAV for medical parcel delivery", "year": 2022, "authors": [ "Henrique Carvalho de Resende", "Joao Francisco Nunes Pinheiro", "Philippe Reiter", "Cristiano Bonato Both", "Johann M. Márquez-Barja" ], "first_author": "Henrique Carvalho de Resende", "venue": "Proceedings IEEE Consumer Communications and Networking Conference Ccnc", "volume": null, "pages": "268-271", "type": "conference-paper", "language": "en", "abstract": "Unmanned Aerial Vehicles (UAVs) are being developed and researched to be used in different areas and diverse use cases. The delivery of medical parcels is an emergency service that avails from the air traffic for the fast delivery of critical health content. Besides 5G networks being the target communication technology for the UAV parcel transport, the infrastructure is still not optimized for ground-level User Equipments (UEs). Using multiple Radio Access Technology (RAT) by UAVs is an alternative solution for scenarios where the 5G network is unstable or not yet fully deployed. In this paper, we present bench-marking of 5G and 4G networks on unideal radio scenarios to understand the real latency and throughput delivered by these technologies in worst-case scenarios. The results show that the 5G network can provide the necessary Quality of Service (QoS) for UAV operations even with Reference Signal Received Power (RSRP) in the order of -90. In comparison, the preliminary data for the 4G network validates that the 4G network could not provide the required latency.", "keywords": [ "Computer science", "Latency (audio)", "Quality of service", "Computer network", "Throughput", "Cellular network", "Real-time computing", "Telecommunications", "Wireless" ], "cited_by_openalex": 12, "cited_by_scopus": "11", "eid": "2-s2.0-85135734094", "pii": null, "open_access_url": "https://doi.org/10.1109/ccnc49033.2022.9700528", "sources": [ { "db": "openalex", "stream": "UAV", "query_id": "UAV-1" }, { "db": "scopus", "stream": "UAV", "query_id": "UAV-1" } ], "streams": [ "UAV" ], "relevance_signals": [ "UAV" ], "auto_exclude_reason": null, "screening_status": "pending_human_screening", "screened_by": "auto-v1.0.0" }, { "id": "doi:10.3390/math10193527", "doi": "10.3390/math10193527", "title": "Multi-Trip Time-Dependent Vehicle Routing Problem with Split Delivery", "year": 2022, "authors": [ "Jie Zhang", "Yifan Zhu", "Xiaobo Li", "Mengjun Ming", "Weiping Wang", "Tao Wang" ], "first_author": "Jie Zhang", "venue": "Mathematics", "volume": "10", "pages": null, "type": "article", "language": "en", "abstract": "Motivated by some practical applications of post-disaster supply delivery, we study a multi-trip time-dependent vehicle routing problem with split delivery (MTTDVRP-SD) with an unmanned aerial vehicle (UAV). This is a variant of the VRP that allows the UAV to travel multiple times; the task nodes’ demands are splittable, and the information is time-dependent. We propose a mathematical formulation of the MTTDVRP-SD and analyze the pattern of the solution, including the delivery routing and delivery quantity. We developed an algorithm based on the simulation anneal (SA) framework. First, the initial solution is generated by an improved intelligent auction algorithm; then, the stochastic neighborhood of the delivery route is generated based on the SA algorithm. Based on this, the model is simplified to a mixed-integer linear programming model (MILP), and the CPLEX optimizer is used to solve for the delivery quantity. The proposed algorithm is compared with random–simulation anneal–CPLEX (R-SA-CPLEX), auction–genetic algorithm–CPLEX (A-GA-CPLEX), and auction–simulation anneal–CPLEX (A-SA) on 30 instances at three scales, and its effectiveness and efficiency are statistically verified. The proposed algorithm significantly differs from R-SA-CPLEX at a 99% confidence level and outperforms R-SA-CPLEX by about 30%. In the large-scale case, the computation time of the proposed algorithm is about 30 min shorter than that of A-SA. Compared to the A-GA-CPLEX algorithm, the performance and efficiency of the proposed algorithm are improved. Furthermore, compared to a model that does not allow split delivery, the objective function values of the solution of the MTTDVRP-SD model are reduced by 52.67%, 48.22%, and 34.11% for the three scaled instances, respectively.", "keywords": [ "Vehicle routing problem", "Computer science", "Mathematical optimization", "Genetic algorithm", "Simulated annealing", "Routing (electronic design automation)", "Algorithm", "Computation", "Integer programming", "Mathematics" ], "cited_by_openalex": 10, "cited_by_scopus": "11", "eid": "2-s2.0-85139780731", "pii": null, "open_access_url": "https://www.mdpi.com/2227-7390/10/19/3527/pdf?version=1665484281", "sources": [ { "db": "openalex", "stream": "UAV", "query_id": "UAV-2" }, { "db": "scopus", "stream": "UAV", "query_id": "UAV-2" } ], "streams": [ "UAV" ], "relevance_signals": [ "UAV_NO_CTX" ], "auto_exclude_reason": "EC-4-topic", "screening_status": "auto_excluded", "screened_by": "auto-v1.0.0" }, { "id": "doi:10.1287/ijoc.2022.1159", "doi": "10.1287/ijoc.2022.1159", "title": "VeRoViz: A Vehicle Routing Visualization Toolkit", "year": 2022, "authors": [ "Lan Peng", "Chase C. Murray" ], "first_author": "Lan Peng", "venue": "INFORMS journal on computing", "volume": null, "pages": null, "type": "article", "language": "en", "abstract": "VeRoViz is an open-source vehicle routing visualization package consisting of both Python and web-based components. It was developed to streamline the workflow for vehicle routing researchers by simplifying and automating many of the tedious tasks associated with generating realistic test problems. VeRoViz also provides new functionality to produce customizable visualizations of complex vehicle routing problems. These visualization tools—including Gantt charts, static maps, and dynamic 3-D videos—assist researchers in validating models and communicating results. Additionally, a comprehensive collection of utility functions within VeRoViz provides researchers with useful tools to assess features of their problems. This paper provides an overview of VeRoViz and highlights the flexibility and ease-of-use of the toolkit. Summary of Contribution: This paper describes an open-source software package designed to assist vehicle routing researchers. The software package, named VeRoViz (vehicle routing visualization), streamlines the process of collecting and visualizing data relevant to vehicle routing research. This includes capturing road network travel times (and distances) between locations, displaying turn-by-turn vehicle routes, generating Gantt charts of vehicle assignments, and producing 3-D “movies” of vehicle routing solutions. The VeRoViz suite consists of three components. First, a web-based interface allows researchers (and instructors) to quickly “sketch” elements of a vehicle routing problem, providing visual representations of nodes and arcs on a map. Second, the VeRoViz Python package provides an extensive collection of functions that assist operations researchers in collecting data and displaying solutions. Finally, an HTML/JavaScript plugin is available for displaying time-dynamic 3-D visualization of vehicle routes. VeRoViz is not a vehicle routing solver; it is a software suite that complements and supports researchers who are developing solution approaches to increasingly realistic vehicle routing problems (e.g., problems related to drone delivery, electric vehicles, or dynamic delivery requests).", "keywords": [ "Computer science", "Gantt chart", "Visualization", "Plug-in", "Python (programming language)", "Software", "Suite", "Data visualization", "Vehicle routing problem", "Workflow", "JavaScript", "Routing (electronic design automation)" ], "cited_by_openalex": 11, "cited_by_scopus": 0, "eid": null, "pii": null, "open_access_url": "https://doi.org/10.1287/ijoc.2022.1159", "sources": [ { "db": "openalex", "stream": "UAV", "query_id": "UAV-2" } ], "streams": [ "UAV" ], "relevance_signals": [ "UAV_NO_CTX" ], "auto_exclude_reason": "EC-4-topic", "screening_status": "auto_excluded", "screened_by": "auto-v1.0.0" }, { "id": "doi:10.3390/su14095663", "doi": "10.3390/su14095663", "title": "Nuclear Accident Emergency Response System: Radiation Field Estimation and Evacuation", "year": 2022, "authors": [ "Bo Chen", "Zhicheng Li", "Zaiyue Yang" ], "first_author": "Bo Chen", "venue": "Sustainability", "volume": "14", "pages": null, "type": "article", "language": "en", "abstract": "In this paper, a nuclear accident emergency response system based on unmanned aerial vehicles (UAVs) and bus collaboration is designed for radiation field estimation and evacuation. When a nuclear accident occurs, the radiation field is estimated firstly using the measurements acquired by UAVs. Based on the Cramer–Rao Lower Bound (CRLB), the coordinate optimization combined with UAV routing is formulated as a nonconvex mixed integer nonlinear programming (MINLP) problem to maximize the estimation accuracy. Further, a two-stage solution procedure based on genetic algorithm (GA) is proposed to solve the above problem. Then, taking the predicted radiation field as input, personnel in the emergency planning zone (EPZ) are evacuated to shelters by buses. The evacuation routing problem for minimizing both the total radiation exposure and evacuation time is formulated as a mixed integer linear programming (MILP) problem, which is solvable with efficient commercial solvers, such as Gurobi and CPLEX. The simulation results indicate that the system can provide effective help for emergency management under the nuclear accident scenarios.", "keywords": [ "Integer programming", "Computer science", "Routing (electronic design automation)", "Mathematical optimization", "Genetic algorithm", "Emergency management", "Emergency response", "Integer (computer science)", "Linear programming", "Field (mathematics)", "Operations research", "Engineering" ], "cited_by_openalex": 11, "cited_by_scopus": "11", "eid": "2-s2.0-85130191214", "pii": null, "open_access_url": "https://www.mdpi.com/2071-1050/14/9/5663/pdf?version=1652086908", "sources": [ { "db": "openalex", "stream": "UAV", "query_id": "UAV-2" }, { "db": "scopus", "stream": "UAV", "query_id": "UAV-2" } ], "streams": [ "UAV" ], "relevance_signals": [ "UAV_NO_CTX" ], "auto_exclude_reason": "EC-4-topic", "screening_status": "auto_excluded", "screened_by": "auto-v1.0.0" }, { "id": "doi:10.1108/s2044-994120220000016006", "doi": "10.1108/s2044-994120220000016006", "title": "MotherTruckers? The Gendered Work of Freight and Logistics", "year": 2022, "authors": [ "Debbie Hopkins", "Nihan Akyelken" ], "first_author": "Debbie Hopkins", "venue": "Transport and sustainability", "volume": null, "pages": null, "type": "book-chapter", "language": "en", "abstract": "Freight and logistics are central to everyday life. These sectors depend on a variety of workers, and the types of work have changed rapidly with shifts towards e-commerce and changes to urban logistics. Yet a particular form of masculinity dominates imaginaries of the sector, especially freight transport. Such imaginaries rest on ideas of freight drivers requiring (physical) strength, toughness, flexibility, mobility and driving competencies, as well as being unencumbered by caring responsibilities. In the UK, and elsewhere, the freight sector, and particularly driving-related freight jobs, are heavily reliant on male workers. The freight driver shortage crisis in the UK has been referred to as a ‘ticking timebomb’, emerging from a reliance on white male workers, the majority of whom are over the age of 50. A ‘diversifying’ agenda has been the primary response to this crisis, which has largely focussed on increasing the number of female drivers. At the same time, however, little has been done to address issues associated with pay and conditions for freight workers. In this chapter, the authors examine gendered freight work across three themes: changing mobilities of work, ‘flexibilisation’ of freight working practice and automation of freight vehicles.", "keywords": [ "Flexibility (engineering)", "Economic shortage", "Work (physics)", "Traffic management", "Business", "Outsourcing", "Masculinity", "Variety (cybernetics)", "Labour economics", "Engineering", "Transport engineering", "Marketing" ], "cited_by_openalex": 10, "cited_by_scopus": 0, "eid": null, "pii": null, "open_access_url": "https://doi.org/10.1108/s2044-994120220000016006", "sources": [ { "db": "openalex", "stream": "TRUCK", "query_id": "TRUCK-1" } ], "streams": [ "TRUCK" ], "relevance_signals": [ "TRUCK" ], "auto_exclude_reason": null, "screening_status": "pending_human_screening", "screened_by": "auto-v1.0.0" }, { "id": "doi:10.1016/j.multra.2022.100032", "doi": "10.1016/j.multra.2022.100032", "title": "Optimal consolidation center to improve urban freight transport: a case of student accommodation in a higher education institution", "year": 2022, "authors": [ "Oyegoke Teslim Bukoye", "Sathvik Gadiraju" ], "first_author": "Oyegoke Teslim Bukoye", "venue": "Multimodal Transportation", "volume": "1", "pages": null, "type": "article", "language": "en", "abstract": "Cities across the world are expanding as a result of urbanization, resulting in growing demand for goods and services, mainly through online sales. This has resulted in the need for an urban consolidation center (UCC) to minimize travel and optimize deliveries, particularly in student accommodation settings. In this paper, we examine how an optimal consolidation center can improve urban freight transport. We conducted a multi-method and in-depth case study of student halls of residence within a UK higher education institution. In addition, we analyzed a rich secondary dataset including location, parcel, and vehicle data. We developed and tested three scenarios to present an optimal urban consolidation scenarios model using a Vehicle Routing Problem (VRP) solver; indicating the transportation costs, distance travelled, and CO2 emitted. The operationalization of the optimal UCC as well as the limitations on direct and indirect cost, accessibility, and collaboration are discussed. Our findings show the impact of having an ideal pickup point that would give students the ability to collect their parcels effortlessly and make the return of goods easier for students. As such, we extend extant studies on the implications for urban consolidation center theory and practice.", "keywords": [ "Consolidation (business)", "Transport engineering", "Operationalization", "Business", "Residence", "Computer science", "Economics", "Engineering", "Finance" ], "cited_by_openalex": 10, "cited_by_scopus": "10", "eid": "2-s2.0-85164515300", "pii": "S2772586322000326", "open_access_url": "https://www.sciencedirect.com/science/article/pii/S2772586322000326/pdf", "sources": [ { "db": "openalex", "stream": "TRUCK", "query_id": "TRUCK-2" }, { "db": "scopus", "stream": "TRUCK", "query_id": "TRUCK-2" } ], "streams": [ "TRUCK" ], "relevance_signals": [ "NO_TECHNOLOGY_MATCH" ], "auto_exclude_reason": "EC-4-topic", "screening_status": "auto_excluded", "screened_by": "auto-v1.0.0" }, { "id": "doi:10.2478/logi-2022-0022", "doi": "10.2478/logi-2022-0022", "title": "The Economic and Environmental Benefits of Collaborative Pick-Up in Urban Delivery Systems", "year": 2022, "authors": [ "Sally Justiani", "Budhi Sholeh Wibowo" ], "first_author": "Sally Justiani", "venue": "Logi", "volume": "13", "pages": "245-256", "type": "article", "language": "en", "abstract": "Abstract The fierce competition between carriers in urban delivery systems has led to several negative consequences, such as inefficiency, road congestion, and harmful pollution. One way to address these issues is by encouraging horizontal collaboration, since many vehicles at this stage are less than full. This study aims to evaluate the benefits of collaborative pick-up in urban delivery systems. The problems are modeled based on the multi-depot vehicle routing problem. A case study with two carriers in Pekanbaru city, Indonesia, is presented as an illustration. The numerical results suggest that the economic benefits from the collaboration are significant when the spare capacity in the system is plenty. In contrast, the environmental benefits are typically linear with the reduction of vehicle miles traveled. The study findings provide practical insights for urban planners and logistics service providers to foster sustainable development in the city.", "keywords": [ "Inefficiency", "Spare part", "Business", "Traffic congestion", "City logistics", "Environmental economics", "Vehicle routing problem", "Competition (biology)", "Service (business)", "Transport engineering", "Environmental planning", "Computer science" ], "cited_by_openalex": 7, "cited_by_scopus": "10", "eid": "2-s2.0-85145556342", "pii": null, "open_access_url": "https://reference-global.com/2/v2/download/article/10.2478/logi-2022-0022.pdf", "sources": [ { "db": "openalex", "stream": "TRUCK", "query_id": "TRUCK-2" }, { "db": "scopus", "stream": "TRUCK", "query_id": "TRUCK-2" } ], "streams": [ "TRUCK" ], "relevance_signals": [ "NO_TECHNOLOGY_MATCH" ], "auto_exclude_reason": "EC-4-topic", "screening_status": "auto_excluded", "screened_by": "auto-v1.0.0" }, { "id": "doi:10.1016/j.tre.2022.102806", "doi": "10.1016/j.tre.2022.102806", "title": "Selection of vehicle size and extent of multi-drop deliveries for autonomous goods vehicles: An assessment of potential for change", "year": 2022, "authors": [ "Garrett Bray", "David Cebon" ], "first_author": "Garrett Bray", "venue": "Transportation Research Part E Logistics and Transportation Review", "volume": "164", "pages": null, "type": "article", "language": "en", "abstract": "This paper examines how vehicle size and multi-drop deliveries may change as a result of the removal of the driver cost for autonomous goods vehicles. Analysis is conducted by combining parameters derived from transport economics and vehicle engineering for a series of increasingly complex applications, ultimately incorporating a unique vehicle routing problem formulation for two multi-destination applications. It is concluded that while the removal of the driver cost produced the greatest savings, the use of smaller vehicles and fewer deliveries per journey could produce incremental savings, dependent on the application. The incremental savings and potential change in vehicle sizes and number of deliveries was greatest for applications: 1) where the human driver would otherwise constitute a greater proportion of overall cost (such as urban deliveries), 2) where there is greater dispersion of delivery locations relative to the origin depot, 3) where the value of the cargo time is higher. For a UK customer deliveries case study currently using 3.5 t vans, a shift to smaller 2.1 t vans performing 40–60% fewer stops per route could lead to an additional 7–16% of cost savings, or up to 75% savings when combined with the direct driver cost savings. By contrast, for a UK supermarket distribution case study using 44 t articulated trucks, the introduction of some 26 t rigids serving fewer stops per route indicated effectively negligible potential savings compared to the 22–32% of savings due to the removal of the driver. Conclusions are conditional on treating a number of aspects of the logistics system as fixed in order to isolate factors of interest. Realistically, such aspects may be subject to change in future scenarios under the combined impact of autonomous freight vehicles and other trends.", "keywords": [ "Truck", "Vehicle routing problem", "Transport engineering", "Value of time", "Total cost", "Computer science", "Travel time", "Operations management", "Routing (electronic design automation)", "Operations research", "Automotive engineering", "Economics" ], "cited_by_openalex": 8, "cited_by_scopus": "10", "eid": "2-s2.0-85132905104", "pii": "S1366554522001958", "open_access_url": "https://www.sciencedirect.com/science/article/pii/S1366554522001958/pdf", "sources": [ { "db": "openalex", "stream": "TRUCK", "query_id": "TRUCK-2" }, { "db": "openalex", "stream": "TRUCK", "query_id": "TRUCK-3" }, { "db": "scopus", "stream": "TRUCK", "query_id": "TRUCK-2" }, { "db": "scopus", "stream": "TRUCK", "query_id": "TRUCK-3" } ], "streams": [ "TRUCK" ], "relevance_signals": [ "TRUCK" ], "auto_exclude_reason": null, "screening_status": "pending_human_screening", "screened_by": "auto-v1.0.0" }, { "id": "doi:10.1080/23302674.2022.2074566", "doi": "10.1080/23302674.2022.2074566", "title": "Modelling and solving the split-delivery vehicle routing problem, considering loading constraints and spoilage of commodities", "year": 2022, "authors": [ "Sherif A. Fahmy", "Mohamed L. Gaafar" ], "first_author": "Sherif A. Fahmy", "venue": "International Journal of Systems Science Operations & Logistics", "volume": "10", "pages": null, "type": "article", "language": "en", "abstract": "In a typical supply chain, an aggregation hub is a strategically located facility that collects, processes and distributes commodities. This requires determining the collection/distribution fleet size, and the shortest routes to/from the served locations. Perishable commodities further require considering the order of collection/delivery and the loading positions inside the trucks. In this paper, the split-delivery vehicle routing problem (SDVRP) is modelled and solved, considering multiple perishable commodities, loading constraints, cross-docking and a heterogeneous fleet of trucks. The objective is to manage a fleet of trucks operating from an aggregation hub in order to minimise the total transportation and products spoilage costs. The problem is first formulated using as a novel mixed integer linear programming (MILP) model. Due to the complexity of the problem, a hybrid ant colony optimisation (ACO) algorithm is proposed to solve the problem. The ACO is embedded with local search (LS) techniques to improve its exploitation capabilities and convergence speed. Experiments are conducted to assess the performance of the ACO/LS algorithm in solving a number of benchmarked SDVRP instances. Results show that the proposed algorithm has an acceptable performance regarding the SDVRP, and can further handle all the aspects considered in the current problem efficiently.", "keywords": [ "Vehicle routing problem", "Food spoilage", "Routing (electronic design automation)", "Computer science", "Mathematical optimization", "Operations research", "Business", "Mathematics", "Computer network", "Biology" ], "cited_by_openalex": 12, "cited_by_scopus": "10", "eid": "2-s2.0-85130606485", "pii": null, "open_access_url": "https://doi.org/10.1080/23302674.2022.2074566", "sources": [ { "db": "openalex", "stream": "TRUCK", "query_id": "TRUCK-3" }, { "db": "scopus", "stream": "TRUCK", "query_id": "TRUCK-3" } ], "streams": [ "TRUCK" ], "relevance_signals": [ "TRUCK_NO_CTX" ], "auto_exclude_reason": "EC-4-topic", "screening_status": "auto_excluded", "screened_by": "auto-v1.0.0" }, { "id": "doi:10.1038/s41370-022-00454-5", "doi": "10.1038/s41370-022-00454-5", "title": "Clean fleets, different streets: evaluating the effect of New York City’s clean bus program on changes to estimated ambient air pollution", "year": 2022, "authors": [ "Gina S. Lovasi", "Christian A. Treat", "Dustin Fry", "Isha Shah", "Jane Ellen Clougherty", "Alique G. Berberian", "Frederica P. Perera", "Marianthi‐Anna Kioumourtzoglou" ], "first_author": "Gina S. Lovasi", "venue": "Journal of Exposure Science & Environmental Epidemiology", "volume": "33", "pages": "332-338", "type": "article", "language": "en", "abstract": "Abstract Background Motor vehicles, including public transit buses, are a major source of air pollution in New York City (NYC) and worldwide. To address this problem, governments and transit agencies have implemented policies to introduce cleaner vehicles into transit fleets. Beginning in 2000, the Metropolitan Transit Agency began deploying compressed natural gas, hybrid electric, and low-sulfur diesel buses to reduce urban air pollution. Objective We hypothesized that bus fleet changes incorporating cleaner vehicles would have detectable effects on air pollution concentrations between 2009 and 2014, as measured by the New York City Community Air Survey (NYCCAS). Methods Depot- and route-specific information allowed identification of areas with larger or smaller changes in the proportion of distance traveled by clean buses. Data were assembled for 9670 300 m × 300 m grid cell areas with annual concentration estimates for nitrogen oxide (NO), nitrogen dioxide (NO2), and black carbon (BC) from NYCCAS. Spatial error models adjusted for truck route presence and total traffic volume. Results While concentrations of all three pollutants declined between 2009 and 2014 even in the 39.7% of cells without bus service, the decline in concentrations of NO and NO2 was greater in areas with more bus service and with higher proportional shifts toward clean buses. Conversely, the decline in BC concentration was slower in areas with more bus service and higher proportional clean bus shifts. Significance These results provide evidence that the NYC clean bus program impacted concentrations of air pollution, particularly in reductions of NO2. Further work can investigate the potential impact of these changes on health outcomes in NYC residents. Impact Statement Urban air pollution from diesel-burning buses is an important health exposure. The New York Metropolitan Transit Agency has worked to deploy cleaner buses into their fleet, but the impact of this policy has not been evaluated. Successful reductions in air pollution are critical for public health.", "keywords": [ "Air pollution", "Environmental science", "Public transport", "Truck", "Clean Air Act", "Metropolitan area", "Compressed natural gas", "Ultra-low-sulfur diesel", "Pollution", "Environmental engineering", "Transport engineering", "Criteria air contaminants" ], "cited_by_openalex": 15, "cited_by_scopus": "10", "eid": "2-s2.0-85160735720", "pii": null, "open_access_url": "https://www.nature.com/articles/s41370-022-00454-5.pdf", "sources": [ { "db": "openalex", "stream": "TRUCK", "query_id": "TRUCK-3" }, { "db": "scopus", "stream": "TRUCK", "query_id": "TRUCK-3" } ], "streams": [ "TRUCK" ], "relevance_signals": [ "TRUCK_NO_CTX" ], "auto_exclude_reason": "EC-4-topic", "screening_status": "auto_excluded", "screened_by": "auto-v1.0.0" }, { "id": "doi:10.1016/j.trb.2022.09.005", "doi": "10.1016/j.trb.2022.09.005", "title": "Planning reliable service facility location against disruption risks and last-mile congestion in a continuous space", "year": 2022, "authors": [ "Zhaodong Wang", "Siyang Xie", "Yanfeng Ouyang" ], "first_author": "Zhaodong Wang", "venue": "Transportation Research Part B Methodological", "volume": "165", "pages": "123-140", "type": "article", "language": "en", "abstract": null, "keywords": [ "Mile", "Last mile (transportation)", "Service (business)", "Space (punctuation)", "Computer science", "Transport engineering", "Operations management", "Business", "Engineering", "Geography", "Operating system", "Marketing" ], "cited_by_openalex": 12, "cited_by_scopus": "10", "eid": "2-s2.0-85140142680", "pii": "S0191261522001497", "open_access_url": "https://doi.org/10.1016/j.trb.2022.09.005", "sources": [ { "db": "openalex", "stream": "UAV", "query_id": "UAV-1" }, { "db": "scopus", "stream": "UAV", "query_id": "UAV-1" } ], "streams": [ "UAV" ], "relevance_signals": [ "NO_TECHNOLOGY_MATCH" ], "auto_exclude_reason": "EC-4-topic", "screening_status": "auto_excluded", "screened_by": "auto-v1.0.0" }, { "id": "doi:10.1088/1742-6596/2245/1/012013", "doi": "10.1088/1742-6596/2245/1/012013", "title": "An Improved Particle Swarm Optimization Algorithm for Unmanned Aerial Vehicle Route Planning", "year": 2022, "authors": [ "Xiaolu Wang", "Chen Yuan Huang", "Fuhao Chen" ], "first_author": "Xiaolu Wang", "venue": "Journal of Physics Conference Series", "volume": null, "pages": null, "type": "conference-paper", "language": "en", "abstract": "Abstract A global path planning method based on improved particle swarm optimization (PSO) algorithm was proposed to find a high quality flight trajectory in three-dimensional complex environment under multiple threats for UAV. The improved path planning algorithm combines the standard PSO with A* method to compensate for the slow convergence rate of PSO. The objective function with multiple constraints of A* method is used to evaluate the quality of the waypoint, and the objective function of PSO algorithm is designed to evaluate the quality of the candidate path. To verify the effectiveness of the improved algorithm, the improved PSO algorithm is used to compare with basic PSO algorithms. The experiment in complex environment shows it has stronger search ability, convergence ability due to the improvement of population diversity and convergence speed.", "keywords": [ "Particle swarm optimization", "Waypoint", "Convergence (economics)", "Mathematical optimization", "Computer science", "Algorithm", "Path (computing)", "Motion planning", "Swarm behaviour", "Population", "Mathematics", "Real-time computing" ], "cited_by_openalex": 10, "cited_by_scopus": 0, "eid": null, "pii": null, "open_access_url": "https://iopscience.iop.org/article/10.1088/1742-6596/2245/1/012013/pdf", "sources": [ { "db": "openalex", "stream": "UAV", "query_id": "UAV-2" } ], "streams": [ "UAV" ], "relevance_signals": [ "UAV_NO_CTX" ], "auto_exclude_reason": "EC-4-topic", "screening_status": "auto_excluded", "screened_by": "auto-v1.0.0" }, { "id": "doi:10.1109/apcc55198.2022.9943785", "doi": "10.1109/apcc55198.2022.9943785", "title": "SimNet: UAV-Integrated Sensor Nodes Localization for Communication Intelligence in 6G Networks", "year": 2022, "authors": [ "Simeon Okechukwu Ajakwe", "Vivian Ukamaka Ihekoronye", "Dong‐Seong Kim", "Jae‐Min Lee" ], "first_author": "Simeon Okechukwu Ajakwe", "venue": "2022 27th Asia Pacific Conference on Communications (APCC)", "volume": null, "pages": "344-347", "type": "conference-paper", "language": "en", "abstract": "Achieving communication intelligence with a low computational cost is necessary for wireless sensor networks for the drone transportation system. This work proposed a novel localization system with low computational and time efficiency that uses an unmanned aerial vehicle (UAV) as anchor node and lightweight neural networks to evaluate the UAV position information. The scheme takes advantage of the capabilities of artificial intelligence models. Simulation results indicate that the proposed scheme displayed a good performance with the least localization error of 1.75, least training time of 0.0032s, and testing time of 0.00039s without requiring GPS when compared to other algorithms and previous schemes.", "keywords": [ "Computer science", "Global Positioning System", "Drone", "Wireless sensor network", "Scheme (mathematics)", "Node (physics)", "Real-time computing", "Computational intelligence", "Artificial neural network", "Position (finance)", "Wireless", "Artificial intelligence" ], "cited_by_openalex": 9, "cited_by_scopus": "10", "eid": "2-s2.0-85143069868", "pii": null, "open_access_url": "https://doi.org/10.1109/apcc55198.2022.9943785", "sources": [ { "db": "openalex", "stream": "UAV", "query_id": "UAV-3" }, { "db": "scopus", "stream": "UAV", "query_id": "UAV-3" } ], "streams": [ "UAV" ], "relevance_signals": [ "UAV_NO_CTX" ], "auto_exclude_reason": "EC-4-topic", "screening_status": "auto_excluded", "screened_by": "auto-v1.0.0" }, { "id": "doi:10.1177/03611981221093324", "doi": "10.1177/03611981221093324", "title": "Decentralised Multi-Agent Reinforcement Learning Approach for the Same-Day Delivery Problem", "year": 2022, "authors": [ "Ngu E." ], "first_author": "Ngu E.", "venue": "Transportation Research Record", "volume": "2676", "pages": "385-395", "type": "Article", "language": null, "abstract": null, "keywords": [], "cited_by_openalex": 0, "cited_by_scopus": "10", "eid": "2-s2.0-85141805425", "pii": null, "open_access_url": null, "sources": [ { "db": "scopus", "stream": "TRUCK", "query_id": "TRUCK-2" } ], "streams": [ "TRUCK" ], "relevance_signals": [ "NO_TECHNOLOGY_MATCH" ], "auto_exclude_reason": "EC-4-topic", "screening_status": "auto_excluded", "screened_by": "auto-v1.0.0" }, { "id": "doi:10.16381/j.cnki.issn1003-207x.2019.1917", "doi": "10.16381/j.cnki.issn1003-207x.2019.1917", "title": "Two-echelon Dynamic Vehicle Routing Problem with Request Forecasting", "year": 2022, "authors": [ "Ge X.L." ], "first_author": "Ge X.L.", "venue": "Chinese Journal of Management Science", "volume": "30", "pages": "210-220", "type": "Article", "language": null, "abstract": null, "keywords": [], "cited_by_openalex": 0, "cited_by_scopus": "10", "eid": "2-s2.0-105048693454", "pii": null, "open_access_url": null, "sources": [ { "db": "scopus", "stream": "TRUCK", "query_id": "TRUCK-2" } ], "streams": [ "TRUCK" ], "relevance_signals": [ "NO_TECHNOLOGY_MATCH" ], "auto_exclude_reason": "EC-4-topic", "screening_status": "auto_excluded", "screened_by": "auto-v1.0.0" }, { "id": "doi:10.22105/jarie.2021.309116.1390", "doi": "10.22105/jarie.2021.309116.1390", "title": "Seizing the Potential of Transport Pooling in Urban Logistics-The Case of Thriasio Logistics Centre in Greece", "year": 2022, "authors": [ "Apostolopoulos V." ], "first_author": "Apostolopoulos V.", "venue": "Journal of Applied Research on Industrial Engineering", "volume": "9", "pages": "230-248", "type": "Article", "language": null, "abstract": null, "keywords": [], "cited_by_openalex": 0, "cited_by_scopus": "10", "eid": "2-s2.0-85173499672", "pii": null, "open_access_url": null, "sources": [ { "db": "scopus", "stream": "TRUCK", "query_id": "TRUCK-2" } ], "streams": [ "TRUCK" ], "relevance_signals": [ "NO_TECHNOLOGY_MATCH" ], "auto_exclude_reason": "EC-4-topic", "screening_status": "auto_excluded", "screened_by": "auto-v1.0.0" }, { "id": "doi:10.3390/su142315505", "doi": "10.3390/su142315505", "title": "Conceptual Framework for Evaluating E-Commerce Deliveries Using Agent-Based Modelling and Sensitivity Analysis", "year": 2022, "authors": [ "Roberta Alves", "Renato da Silva Lima", "Leise Kelli de Oliveira", "Alexandre Ferreira de Pinho" ], "first_author": "Roberta Alves", "venue": "Sustainability", "volume": "14", "pages": null, "type": "article", "language": "en", "abstract": "To model the urban logistic environment, many variables need to be taken into account as this system is composed of different stakeholders with conflicting objectives and actions that influence the actions of others. Agent-based modeling (ABM) and simulations are useful tools for studying this environment with so many variables and uncertainties. Typically, urban logistic stakeholders are represented by agents who interact with each other and obey different rules. This study presents a conceptual framework for evaluating e-commerce urban freight using ABM and Design of Experiments (DoE). The simulations performed were designed to highlight the most important parameters that affect the response variable and should be taken into account in the experimentation process. The scenarios were studied to evaluate the use of Delivery Lockers (DLs) and failures in delivery attempts. The results of the DoE analysis allowed us to verify that the DL utilization rate, first attempt delivery failure rate, and truck stoppage time most impact costs and profits in the modeled system. The framework presented showed that the use of DoE in the simulation study reduced the number of simulated scenarios, which is a significant gain given the complexity of the model and the relatively large computational time required to execute a new scenario. Consequently, different studies may use the findings presented here to plan scenarios in their simulation projects.", "keywords": [ "Process (computing)", "Computer science", "Variable (mathematics)", "Truck", "Risk analysis (engineering)", "Operations research", "Duration (music)", "Plan (archaeology)", "Sensitivity (control systems)", "System dynamics", "Conceptual framework", "Industrial engineering" ], "cited_by_openalex": 11, "cited_by_scopus": "9", "eid": "2-s2.0-85143827417", "pii": null, "open_access_url": "https://www.mdpi.com/2071-1050/14/23/15505/pdf?version=1669114804", "sources": [ { "db": "openalex", "stream": "TRUCK", "query_id": "TRUCK-1" }, { "db": "scopus", "stream": "TRUCK", "query_id": "TRUCK-1" } ], "streams": [ "TRUCK" ], "relevance_signals": [ "TRUCK" ], "auto_exclude_reason": null, "screening_status": "pending_human_screening", "screened_by": "auto-v1.0.0" }, { "id": "doi:10.1007/s00500-022-07325-z", "doi": "10.1007/s00500-022-07325-z", "title": "VRP in urban areas to optimize costs while mitigating environmental impact", "year": 2022, "authors": [ "Carmine Cerrone", "Anna Franca Sciomachen" ], "first_author": "Carmine Cerrone", "venue": "Soft Computing", "volume": "26", "pages": "10223-10237", "type": "article", "language": "en", "abstract": "Nowadays, the need to think about sustainable mobility, both goods and people, is widely recognized. For this reason, many recent papers have moved in this direction. In this context, particular attention is now devoted to urban mobility, mainly from a smart city perspective. The present work focuses on sustainable urban freight distribution and proposes a variant of the VRP, which presents some innovative aspects. The goal is to minimize the routes' cost components, including traveling and external costs due to environmental issues, depending on the chosen vehicles and the different urban streets to cross. In addition, restrictions on the maximum duration of each route to ensure frequent sanitation of vehicles used for deliveries, as required from the beginning of the COVID-19 pandemic, are imposed. The distribution network is modeled by a weighted digraph for which some properties are proved. To face the problem, we present a mixed-integer linear programming model, a math-heuristic associated with it, and a memetic algorithm approach. The results of the reported computational experimentation with random instances specifically tailored for the problem show the efficiency of the proposed methods. Further, test cases based on data of the distribution network of two B2C companies operating in the city of Genoa, Italy, proved the effective application of the proposed methods in the direction of sustainable urban distribution plans.", "keywords": [ "Environmental impact assessment", "Computer science", "Environmental science", "Environmental planning", "Ecology", "Biology" ], "cited_by_openalex": 11, "cited_by_scopus": "9", "eid": "2-s2.0-85134648054", "pii": null, "open_access_url": "https://link.springer.com/content/pdf/10.1007/s00500-022-07325-z.pdf", "sources": [ { "db": "openalex", "stream": "TRUCK", "query_id": "TRUCK-2" }, { "db": "scopus", "stream": "TRUCK", "query_id": "TRUCK-2" } ], "streams": [ "TRUCK" ], "relevance_signals": [ "NO_TECHNOLOGY_MATCH" ], "auto_exclude_reason": "EC-4-topic", "screening_status": "auto_excluded", "screened_by": "auto-v1.0.0" }, { "id": "doi:10.3934/mbe.2023146", "doi": "10.3934/mbe.2023146", "title": "Logistic models to minimize the material handling cost within a cross-dock", "year": 2022, "authors": [ "Taniya Mukherjee", "Isha Sangal", "Biswajit Sarkar", "Qais Almaamari" ], "first_author": "Taniya Mukherjee", "venue": "Mathematical Biosciences & Engineering", "volume": "20", "pages": "3099-3119", "type": "article", "language": "en", "abstract": "Retail supply chains are intended to empower effectiveness, speed, and cost-savings, guaranteeing that items get to the end client brilliantly, giving rise to the new logistic strategy of cross-docking. Cross-docking popularity depends heavily on properly executing operational-level policies like assigning doors to trucks or handling resources to doors. This paper proposes a linear programming model based on door-to-storage assignment. The model aims to optimize the material handling cost within a cross-dock when goods are unloaded and transferred from the dock area to the storage area. A fraction of the products unloaded at the incoming gates is assigned to different storage zones depending on their demand frequency and the loading sequence. Numerical example considering a varying number of inbound cars, doors, products, and storage areas is analyzed, and the result proves that the cost can be minimized or savings can be intensified based on the feasibility of the research problem. The result explains that a variation in the number of inbound trucks, product quantity, and per-pallet handling prices influences the net material handling cost. However, it remains unaffected by the alteration in the number of material handling resources. The result also verifies that applying direct transfer of product through cross-docking is economical as fewer products in storage reduce the handling cost.", "keywords": [ "Doors", "Truck", "Pallet", "DOCK", "Computer science", "Supply chain", "Operations research", "Total cost", "Engineering", "Automotive engineering", "Business" ], "cited_by_openalex": 10, "cited_by_scopus": "9", "eid": "2-s2.0-85144401122", "pii": null, "open_access_url": "https://doi.org/10.3934/mbe.2023146", "sources": [ { "db": "openalex", "stream": "TRUCK", "query_id": "TRUCK-3" }, { "db": "scopus", "stream": "TRUCK", "query_id": "TRUCK-3" } ], "streams": [ "TRUCK" ], "relevance_signals": [ "TRUCK_NO_CTX" ], "auto_exclude_reason": "EC-4-topic", "screening_status": "auto_excluded", "screened_by": "auto-v1.0.0" }, { "id": "doi:10.2139/ssrn.4080821", "doi": "10.2139/ssrn.4080821", "title": "Collaborative Truck Multi-Drone Delivery System Considering Drone Scheduling and En-Route Operations", "year": 2022, "authors": [ "Teena Thomas", "Sharan Srinivas", "Chandrasekharan Rajendran" ], "first_author": "Teena Thomas", "venue": "SSRN Electronic Journal", "volume": null, "pages": null, "type": "preprint", "language": "en", "abstract": null, "keywords": [ "Drone", "Truck", "Scheduling (production processes)", "Aeronautics", "Computer science", "Engineering", "Transport engineering", "Operations management", "Aerospace engineering" ], "cited_by_openalex": 9, "cited_by_scopus": 0, "eid": null, "pii": null, "open_access_url": "https://doi.org/10.2139/ssrn.4080821", "sources": [ { "db": "openalex", "stream": "UAV", "query_id": "UAV-1" } ], "streams": [ "UAV" ], "relevance_signals": [ "UAV_NO_CTX", "TRUCK_NO_CTX" ], "auto_exclude_reason": "EC-4-topic", "screening_status": "auto_excluded", "screened_by": "auto-v1.0.0" }, { "id": "doi:10.3390/s22093321", "doi": "10.3390/s22093321", "title": "Research Trends in Collaborative Drones", "year": 2022, "authors": [ "Michel Barbeau", "Joaquín García-Alfaro", "Evangelos Kranakis" ], "first_author": "Michel Barbeau", "venue": "Sensors", "volume": "22", "pages": null, "type": "article", "language": "en", "abstract": "The last decade has seen an explosion of interest in drones-introducing new networking technologies, such as 5G wireless connectivity and cloud computing. The resulting advancements in communication capabilities are already expanding the ubiquitous role of drones as primary solution enablers, from search and rescue missions to information gathering and parcel delivery. Their numerous applications encompass all aspects of everyday life. Our focus is on networked and collaborative drones. The available research literature on this topic is vast. No single survey article could do justice to all critical issues. Our goal in this article is not to cover everything and include everybody but rather to offer a personal perspective on a few selected research topics that might lead to fruitful future investigations that could play an essential role in developing drone technologies. The topics we address include distributed computing with drones for the management of anonymity, countering threats posed by drones, target recognition, navigation under uncertainty, risk avoidance, and cellular technologies. Our approach is selective. Every topic includes an explanation of the problem, a discussion of a potential research methodology, and ideas for future research.", "keywords": [ "Drone", "Open research", "Computer science", "Anonymity", "Cloud computing", "Data science", "Perspective (graphical)", "Computer security", "World Wide Web", "Artificial intelligence" ], "cited_by_openalex": 9, "cited_by_scopus": "9", "eid": "2-s2.0-85128779226", "pii": null, "open_access_url": "https://www.mdpi.com/1424-8220/22/9/3321/pdf?version=1651148913", "sources": [ { "db": "openalex", "stream": "UAV", "query_id": "UAV-1" }, { "db": "scopus", "stream": "UAV", "query_id": "UAV-1" } ], "streams": [ "UAV" ], "relevance_signals": [ "UAV" ], "auto_exclude_reason": null, "screening_status": "pending_human_screening", "screened_by": "auto-v1.0.0" }, { "id": "doi:10.3390/app12136781", "doi": "10.3390/app12136781", "title": "Multirotor Unmanned Aerial Vehicle Configuration Optimization Approach for Development of Actuator Fault-Tolerant Structure", "year": 2022, "authors": [ "Yisak Debele", "Ha-Young Shi", "Assefinew Wondosen", "Jin-Hee Kim", "Beom-Soo Kang" ], "first_author": "Yisak Debele", "venue": "Applied Sciences", "volume": "12", "pages": null, "type": "article", "language": "en", "abstract": "Presently, multirotor unmanned aerial vehicles (UAV) are utilized in numerous applications. Their design governs the system’s controllability and operation performance by influencing the achievable forces and moments produced. However, unexpected causalities, such as actuator failure, adversely affect their controllability, which raises safety concerns about their service. On the other hand, their design flexibility allows further design optimization for various performance requirements, including actuator failure tolerance. Thus, this study proposed an optimization framework that can be employed to design a novel actuator fault-tolerant multirotor UAV configuration. The approach used an attainable moment set (AMS) to evaluate the achievable moment from a multirotor configuration; similarly, standard deviation geometries (SDG) were employed to define performance requirements. Therefore, given a UAV configuration, actuator fault situation, and SDG derived from the designed mission requirement, the suggested optimization framework maximizes the scaling factor of SDG and fits it into the AMS by adjusting the design parameters up to a sufficient margin. The framework is implemented to optimize selected parameters of the Hexacopter-type of parcel delivery multirotor UAV developed by the PNU drone, and a simulation was conducted. The result showed that the optimized configuration of the UAV achieved actuator fault tolerance and operation-performing capability in the presence of a failed actuator.", "keywords": [ "Multirotor", "Actuator", "Controllability", "Fault tolerance", "Control theory (sociology)", "Control engineering", "Flexibility (engineering)", "Moment (physics)", "Computer science", "Engineering", "Aerospace engineering", "Reliability engineering" ], "cited_by_openalex": 8, "cited_by_scopus": "9", "eid": "2-s2.0-85133713547", "pii": null, "open_access_url": "https://www.mdpi.com/2076-3417/12/13/6781/pdf?version=1657016785", "sources": [ { "db": "openalex", "stream": "UAV", "query_id": "UAV-1" }, { "db": "scopus", "stream": "UAV", "query_id": "UAV-1" } ], "streams": [ "UAV" ], "relevance_signals": [ "UAV" ], "auto_exclude_reason": null, "screening_status": "pending_human_screening", "screened_by": "auto-v1.0.0" }, { "id": "doi:10.1109/iecon49645.2022.9968605", "doi": "10.1109/iecon49645.2022.9968605", "title": "Enhanced V-SLAM combining SVO and ORB-SLAM2, with reduced computational complexity, to improve autonomous indoor mini-drone navigation under varying conditions", "year": 2022, "authors": [ "Amin Basiri", "Valerio Mariani", "Luigi Glielmo" ], "first_author": "Amin Basiri", "venue": "IECON 2022 – 48th Annual Conference of the IEEE Industrial Electronics Society", "volume": "2022-October", "pages": null, "type": "conference-paper", "language": "en", "abstract": "Mini-drones have a wide range of applications, including weather monitoring, parcel delivery, search and rescue, and entertainment. As their functionality, safety, and performance heavily relies on ubiquitously reliable positioning and navigation, their applications are relatively limited to outdoor environments where Global Positioning System (GPS) and/or similar are available. Indoor localization is improving, e.g, using Visual Simultaneous Localization and Mapping (V-SLAM). However, for the applications of mini-drone navigation with a higher safety requirements, further improvements are still needed. This paper proposes a novel approach to improve the localization performance for mini-drone indoor navigation. The proposed approach enhances V-SLAM techniques by combining Oriented Rotated Brief SLAM (ORB-SLAM2) and Semi-direct monocular Visual Odometry (SVO) algorithms along with an Adaptive Complementary Filter (ACF). The results show that the proposed approach improvement in position estimation in the different conditions (low light, low texture and dynamic environments) in comparison with other commonly used indoor positioning approaches.", "keywords": [ "Drone", "Computer science", "Simultaneous localization and mapping", "Orb (optics)", "Computer vision", "Artificial intelligence", "Visual odometry", "Global Positioning System", "Search and rescue", "Odometry", "Real-time computing", "Mobile robot" ], "cited_by_openalex": 9, "cited_by_scopus": "9", "eid": "2-s2.0-85143884499", "pii": null, "open_access_url": "https://doi.org/10.1109/iecon49645.2022.9968605", "sources": [ { "db": "openalex", "stream": "UAV", "query_id": "UAV-1" }, { "db": "scopus", "stream": "UAV", "query_id": "UAV-1" } ], "streams": [ "UAV" ], "relevance_signals": [ "UAV" ], "auto_exclude_reason": null, "screening_status": "pending_human_screening", "screened_by": "auto-v1.0.0" }, { "id": "doi:10.3390/ijgi11080419", "doi": "10.3390/ijgi11080419", "title": "Exploring the Spatial Heterogeneity and Driving Factors of UAV Logistics Network: Case Study of Hangzhou, China", "year": 2022, "authors": [ "Hongbo He", "Huping Ye", "Chenchen Xu", "Xiaohan Liao" ], "first_author": "Hongbo He", "venue": "ISPRS International Journal of Geo-Information", "volume": "11", "pages": null, "type": "article", "language": "en", "abstract": "Urban logistics is an important research topic in human and economic geography; unmanned aerial vehicles (UAVs) are an emerging technology that has huge potential in the field of logistics with the release of control restrictions on low-altitude airspace. The scientific identification of the spatial pattern and impact factors of UAV logistics networks is greatly significant in regards to UAV logistics planning and scheduling. This study considered the urban logistics network of Hangzhou in 2020 as the research topic and used kernel density estimation, a geodetector, and geographic information system (GIS) spatial analysis technology to systematically analyze the spatial patterns and influencing factors at the city and district scales. The study found that a significant spatial pattern was revealed in the UAV logistics network in Hangzhou, and the logistics nodes showed an obvious “core-edge” structure. The urban population, market scale and logistics infrastructure jointly shaped the structure and function of the UAV logistics network, and logistics nodes had a strong coupling relationship with the urban spatial structure. Through interaction detectors, the technical route of urban UAV logistics network construction was analyzed and summarized, and results can provide a scientific basis and case reference for other cities to build and plan UAV logistics networks.", "keywords": [ "Transport engineering", "Computer science", "Engineering" ], "cited_by_openalex": 6, "cited_by_scopus": "9", "eid": "2-s2.0-85137339804", "pii": null, "open_access_url": "https://www.mdpi.com/2220-9964/11/8/419/pdf?version=1659677213", "sources": [ { "db": "openalex", "stream": "UAV", "query_id": "UAV-1" }, { "db": "scopus", "stream": "UAV", "query_id": "UAV-1" } ], "streams": [ "UAV" ], "relevance_signals": [ "UAV" ], "auto_exclude_reason": null, "screening_status": "pending_human_screening", "screened_by": "auto-v1.0.0" }, { "id": "doi:10.1121/10.0011546", "doi": "10.1121/10.0011546", "title": "Auditory detection probability of propeller noise in hover flight in presence of ambient soundscape", "year": 2022, "authors": [ "Oksana Stalnov", "Michael Faran", "Yonatan Koral", "Miriam Furst" ], "first_author": "Oksana Stalnov", "venue": "The Journal of the Acoustical Society of America", "volume": "151", "pages": "3719-3728", "type": "article", "language": "en", "abstract": "Unmanned aerial vehicles are rapidly advancing and becoming ubiquitous in an unlimited number of applications, from parcel delivery to people transportation. As unmanned aerial vehicle (UAV) markets expand, the increased acoustic nuisance on population becomes a more acute problem. Previous aircraft noise assessments have highlighted the necessity of a psychoacoustic metric for quantification of human audio perception. This study presents a framework for estimating propeller-based UAV auditory detection probability on the ground for a listener in a real-life scenario. The detection probability is derived by using its free-field measured acoustic background and estimating the UAV threshold according to a physiological model of the auditory pathway. The method is presented via results of an exemplar measurement in an anechoic environment with a single two- and five-bladed propeller. It was found that the auditory detection probability is primarily affected by the background noise level, whereas the number of blades is a less significant parameter. The significance of the proposed method lies in providing a quantitative evaluation of auditory detection probability of the UAV on the ground in the presence of a given soundscape. The results of this work are of practical significance since the method can aid anyone who plans a hovering flight mode.", "keywords": [ "Acoustics", "Computer science", "Noise (video)", "Soundscape", "Anechoic chamber", "Propeller", "Psychoacoustics", "Ambient noise level", "Metric (unit)", "Population", "Background noise", "Perception" ], "cited_by_openalex": 10, "cited_by_scopus": "9", "eid": "2-s2.0-85131732576", "pii": null, "open_access_url": "https://doi.org/10.1121/10.0011546", "sources": [ { "db": "openalex", "stream": "UAV", "query_id": "UAV-1" }, { "db": "scopus", "stream": "UAV", "query_id": "UAV-1" } ], "streams": [ "UAV" ], "relevance_signals": [ "UAV" ], "auto_exclude_reason": null, "screening_status": "pending_human_screening", "screened_by": "auto-v1.0.0" }, { "id": "doi:10.1016/j.jss.2022.111456", "doi": "10.1016/j.jss.2022.111456", "title": "EdgeWorkflow: One click to test and deploy your workflow applications to the edge", "year": 2022, "authors": [ "Xu Jia", "Ran Ding", "Xiao Liu", "Xuejun Li", "John Grundy", "Yun Jin Yang" ], "first_author": "Xu Jia", "venue": "Journal of Systems and Software", "volume": "193", "pages": null, "type": "article", "language": "en", "abstract": "In recent years, edge computing has become the ideal computing paradigm for various smart systems, such as smart logistics, smart health and smart transportation. This is due to its advantages including fast response times, energy efficiency and cost effectiveness over conventional cloud computing platforms. However, running complex computational scientific workflow tasks is still a very challenging issue at the edge, due to its typical three-layered computing environment consisting of an end device layer, an edge server layer, and a cloud server layer. A large number of recent studies have proposed different solutions for optimizing such computing resource management problems in an edge computing environment. However, since evaluation of most such studies is conducted through simulation, the effectiveness cannot be guaranteed in a real world environment. Therefore, to advance research on efficient execution and deployment problems for real world workflow applications using edge computing, an open-source edge workflow management system with comprehensive empirical evaluation capabilities is urgently required. This paper presents the first edge workflow system (named EdgeWorkflow) that is able to deploy user-created workflow applications to a real-world edge computing environment with “one-click” after optimizing the configuration with the simulation tool. With the aid of EdgeWorkflow, the user can automate the generation of specific edge computing environments, easily model and generate executable workflow applications with a visual modelling tool, effectively select various resource management methods included in the systems or apply their own resource management and task scheduling algorithms, efficiently monitor the statuses of computational tasks and obtain comprehensive reports on the execution results (such as those regarding time, cost and energy). We use an edge computing-based unmanned aerial vehicle (UAV) last-mile delivery system as a real-world case study, and a number of representative scientific workflows are employed for our experiments. Our experimental results show that EdgeWorkflow can effectively evaluate the performance of different resource management and workflow task scheduling algorithms and efficiently deploy and execute user-defined scientific workflow applications to user-specified edge computing environments.", "keywords": [ "Workflow", "Edge computing", "Computer science", "Cloud computing", "Executable", "Distributed computing", "Workflow management system", "Workflow engine", "Scheduling (production processes)", "Enhanced Data Rates for GSM Evolution", "Workflow technology", "Database" ], "cited_by_openalex": 10, "cited_by_scopus": "9", "eid": "2-s2.0-85135591312", "pii": "S0164121222001479", "open_access_url": "https://www.sciencedirect.com/science/article/pii/S0164121222001479/pdf", "sources": [ { "db": "openalex", "stream": "UAV", "query_id": "UAV-1" }, { "db": "scopus", "stream": "UAV", "query_id": "UAV-1" } ], "streams": [ "UAV" ], "relevance_signals": [ "UAV" ], "auto_exclude_reason": null, "screening_status": "pending_human_screening", "screened_by": "auto-v1.0.0" }, { "id": "doi:10.1109/tgcn.2022.3172900", "doi": "10.1109/tgcn.2022.3172900", "title": "Edge-Assisted Intelligent Video Compression for Live Aerial Streaming", "year": 2022, "authors": [ "Zhibin Liu", "Mingkai Wang", "Fei Chen", "Qian Lu" ], "first_author": "Zhibin Liu", "venue": "IEEE Transactions on Green Communications and Networking", "volume": "6", "pages": "1613-1623", "type": "article", "language": "en", "abstract": "The ultra-low latency transmission, high speed broadband and ubiquitous access points in modern cities have greatly alleviated the last mile problem of live streaming services. Yet, the sophisticated video compression of high definition videos is still inevitable before transmission, which leads to overwhelming workloads in the light-weighted video collectors. In this paper, we are motivated to explore the computation offloading of live streaming video compression for UAVs, which are featured by limited capacity and fixed trajectory. In particular, the global motion model is utilized for inter frame residual coding instead of motion vector estimation, which usually takes more than 50% computation complexity in traditional H.264/265. We propose an edge-based Joint Video Coding (eJVC) scheme, which can save up to 84.04% encoding complexity of UAV video collector. Specifically, the attention network is used to distinguish foreground blocks and background blocks in the frame. LSTM neural network is used on the edge server to predict the auxiliary data needed by UAV video collector for video coding. In addition, our proposed solution can also accommodate the movement direction change when the control signal is notified in advance. Finally, the prototype system is implemented with the real world data set, and the experiment results show that our proposed solution can significantly save the computation time with little bitrate distortion performance loss.", "keywords": [ "Computer science", "Video compression picture types", "Data compression", "Inter frame", "Real-time computing", "Multiview Video Coding", "Coding (social sciences)", "Video tracking", "Motion compensation", "Video processing", "Computation", "Edge computing" ], "cited_by_openalex": 9, "cited_by_scopus": "9", "eid": "2-s2.0-85132525892", "pii": null, "open_access_url": "https://doi.org/10.1109/tgcn.2022.3172900", "sources": [ { "db": "openalex", "stream": "UAV", "query_id": "UAV-1" }, { "db": "scopus", "stream": "UAV", "query_id": "UAV-1" } ], "streams": [ "UAV" ], "relevance_signals": [ "UAV" ], "auto_exclude_reason": null, "screening_status": "pending_human_screening", "screened_by": "auto-v1.0.0" }, { "id": "doi:10.1016/j.procs.2021.12.140", "doi": "10.1016/j.procs.2021.12.140", "title": "Multi-UAV routing for maximum surveillance data collection with idleness and latency constraints", "year": 2022, "authors": [ "Baiq Zuyyina Hilyatur Rozaliya", "I-Lin Wang", "Ahmad Muklason" ], "first_author": "Baiq Zuyyina Hilyatur Rozaliya", "venue": "Procedia Computer Science", "volume": "197", "pages": "264-272", "type": "conference-paper", "language": "en", "abstract": "This study discusses a multi-UAV surveillance routing problem that routes a UAV fleet from a base station to periodically capture data from sensing locations in a store-and-forward fashion during the planning horizon. Cooperated UAVs can wirelessly transfer data within communication range to gain the maximum collected data received at the base station while satisfying the idleness and latency constraints. An integer programming (IP) model is proposed on a time-space network to track the data movement and compared to an uncooperative data transport model. The results indicate that the proposed model transfers more data with less latency and idleness.", "keywords": [ "Computer science", "Latency (audio)", "Base station", "Real-time computing", "Integer programming", "Routing (electronic design automation)", "Time horizon", "Computer network", "Range (aeronautics)", "Telecommunications", "Mathematical optimization", "Algorithm" ], "cited_by_openalex": 9, "cited_by_scopus": "9", "eid": "2-s2.0-85123799317", "pii": "S1877050921023644", "open_access_url": "https://www.sciencedirect.com/science/article/pii/S1877050921023644/pdf", "sources": [ { "db": "openalex", "stream": "UAV", "query_id": "UAV-2" }, { "db": "scopus", "stream": "UAV", "query_id": "UAV-2" } ], "streams": [ "UAV" ], "relevance_signals": [ "UAV_NO_CTX" ], "auto_exclude_reason": "EC-4-topic", "screening_status": "auto_excluded", "screened_by": "auto-v1.0.0" }, { "id": "doi:10.1109/dasc55683.2022.9925809", "doi": "10.1109/dasc55683.2022.9925809", "title": "Vertiport Design Optimization using Integer Programming", "year": 2022, "authors": [ "Byeong Tak Park", "Sang Hyun Kim" ], "first_author": "Byeong Tak Park", "venue": "2022 IEEE/AIAA 41st Digital Avionics Systems Conference (DASC)", "volume": "2022-September", "pages": null, "type": "conference-paper", "language": "en", "abstract": "This study aims to find the optimal vertiport design based on the geometry of the candidate site in terms of maximizing the capacity and net profit of the vertiport operator. This study presents a vertiport design problem (VDP) of a novel mathematical formulation of integer programming. It involves the positioning of vertiport facilities including the final approach and takeoff areas, gates, taxiways, and passenger terminals within a candidate site while ensuring safety requirements for urban air mobility operations. Results of the proposed vertiport design problem can support the decision-making of vertiport operators by providing an optimal design and layout of vertiport facilities. A numerical experiment for the Samseong vertiport in Seoul, Korea is presented, and the impacts of two objective functions on the vertiport design are analyzed.", "keywords": [ "Integer programming", "Computer science", "Mathematical optimization", "Operator (biology)", "Integer (computer science)", "Page layout", "Profit (economics)", "Linear programming", "Optimal design", "Takeoff", "Operations research", "Engineering" ], "cited_by_openalex": 5, "cited_by_scopus": "9", "eid": "2-s2.0-85141936828", "pii": null, "open_access_url": "https://doi.org/10.1109/dasc55683.2022.9925809", "sources": [ { "db": "openalex", "stream": "UAV", "query_id": "UAV-3" }, { "db": "scopus", "stream": "UAV", "query_id": "UAV-3" } ], "streams": [ "UAV" ], "relevance_signals": [ "UAV_NO_CTX" ], "auto_exclude_reason": "EC-4-topic", "screening_status": "auto_excluded", "screened_by": "auto-v1.0.0" }, { "id": "doi:10.2514/6.2022-4074", "doi": "10.2514/6.2022-4074", "title": "Simulation of Individual Aircraft and Passenger Behaviour and Study of Impact on Vertiport Operations", "year": 2022, "authors": [ "Lukas Preis", "Susan C. Cheng" ], "first_author": "Lukas Preis", "venue": "AIAA AVIATION 2022 Forum", "volume": null, "pages": null, "type": "conference-paper", "language": "en", "abstract": "View Video Presentation: https://doi.org/10.2514/6.2022-4074.vid Vertiport operations will be a key factor in creating an efficient system for Advanced Air Mobility. Yet, the operational dynamics on vertiport airfields are not well understood. This paper uses a high-fidelity agent-based modeling framework to shed light on vertiport airfield operations. Passenger and vehicle characteristics are modeled individually by means of random sampling from skew normal distributions. The parameter values defining the stochastic distributions were specified through an expert interview series encompassing 17 experts. Through a sensitivity study the effects on overall vertiport operations of both individual passenger/vehicle behavior and local time-variations in the demand profile were studied. The main insight from this paper is that individual modeling of passengers and vehicles has no significant impact on operations and is therefore an unnecessary level of detail. In contrast, local time-variations in the demand profile have substantial impact and cannot be neglected.", "keywords": [ "Aeronautics", "Computer science", "Aerospace engineering", "Automotive engineering", "Transport engineering", "Engineering" ], "cited_by_openalex": 4, "cited_by_scopus": "9", "eid": "2-s2.0-85122746579", "pii": null, "open_access_url": "https://doi.org/10.2514/6.2022-4074", "sources": [ { "db": "openalex", "stream": "UAV", "query_id": "UAV-3" }, { "db": "scopus", "stream": "UAV", "query_id": "UAV-3" } ], "streams": [ "UAV" ], "relevance_signals": [ "UAV_NO_CTX" ], "auto_exclude_reason": "EC-4-topic", "screening_status": "auto_excluded", "screened_by": "auto-v1.0.0" }, { "id": "doi:10.2514/1.g006667", "doi": "10.2514/1.g006667", "title": "Dynamic Programming and Model Predictive Control Approach for Autonomous Landings", "year": 2022, "authors": [ "Giacomo Bonaccorsi", "Marco B. Quadrelli", "Francesco Braghin" ], "first_author": "Giacomo Bonaccorsi", "venue": "Journal of Guidance Control and Dynamics", "volume": null, "pages": null, "type": "article", "language": "en", "abstract": "BEING lightweight and inherently easy to deploy, precision aerial delivery systems (PADSs) have the potential to lead to both drastic cost reductions and improved landing precision in the field of space exploration.With this work, we propose a technique that allows generating a PADS guidance law by using a combination of dynamic programming and model predictive control (MPC). The technique presented is based on a parallel successive-refinement dynamic programming used for the optimal trajectories generation, which is then combined with an MPC logic for optimal tracking. Although the method is more generally applicable to most celestial bodies characterized by a relatively dense atmosphere, we focus on a descent on Titan as an example to illustrate its effectiveness. Saturn moons, in fact, have been part of several research efforts due to their possible habitability conditions [1–3]. Among them, Titan has been given a lot of attention thanks to its peculiar geophysical characteristics. While it is possible to find many recent literature contributions focusing on novel guidance and control approaches for spacecraft landing on celestial bodies (e.g., [4–8]), the authors are not aware of any work that focuses specifically on parafoil landings in such environments. The different atmospheric conditions and largely unknown environment are, however, only some of the challenges that would be encountered during a similar mission. Unlike conventional powered vehicles, most parafoils do not have the ability to ascend or slow down considerably. Furthermore, given the slow entry, descent, and landing (EDL) phase due to Titan’s high atmospheric density, there is enough time for wind profiles to change considerably. Another constraint is that the final touchdown should also occur upwind to reduce the payload speed and limit the risk of a roll-over.", "keywords": [ "Model predictive control", "Computer science", "Control (management)", "Dynamic programming", "Control theory (sociology)", "Control engineering", "Engineering", "Artificial intelligence", "Algorithm" ], "cited_by_openalex": 9, "cited_by_scopus": 0, "eid": null, "pii": null, "open_access_url": "https://doi.org/10.2514/1.g006667", "sources": [ { "db": "openalex", "stream": "UAV", "query_id": "UAV-3" } ], "streams": [ "UAV" ], "relevance_signals": [ "UAV_NO_CTX" ], "auto_exclude_reason": "EC-4-topic", "screening_status": "auto_excluded", "screened_by": "auto-v1.0.0" }, { "id": "doi:10.5267/j.ijiec.2022.5.001", "doi": "10.5267/j.ijiec.2022.5.001", "title": "A new metaheuristic approach for the meat routing problem by considering heterogeneous fleet with time windows", "year": 2022, "authors": [ "Riaño H.B." ], "first_author": "Riaño H.B.", "venue": "International Journal of Industrial Engineering Computations", "volume": "13", "pages": "661-676", "type": "Article", "language": null, "abstract": null, "keywords": [], "cited_by_openalex": 0, "cited_by_scopus": "9", "eid": "2-s2.0-85136245845", "pii": null, "open_access_url": null, "sources": [ { "db": "scopus", "stream": "TRUCK", "query_id": "TRUCK-2" } ], "streams": [ "TRUCK" ], "relevance_signals": [ "NO_TECHNOLOGY_MATCH" ], "auto_exclude_reason": "EC-4-topic", "screening_status": "auto_excluded", "screened_by": "auto-v1.0.0" }, { "id": "doi:10.16097/j.cnki.1009-6744.2022.04.028", "doi": "10.16097/j.cnki.1009-6744.2022.04.028", "title": "A Risk Assessment Method of Logistics Drones on Ground", "year": 2022, "authors": [ "Zhong G." ], "first_author": "Zhong G.", "venue": "Jiaotong Yunshu Xitong Gongcheng Yu Xinxi Journal of Transportation Systems Engineering and Information Technology", "volume": "22", "pages": "246-254", "type": "Article", "language": null, "abstract": null, "keywords": [], "cited_by_openalex": 0, "cited_by_scopus": "9", "eid": "2-s2.0-85138004454", "pii": null, "open_access_url": null, "sources": [ { "db": "scopus", "stream": "UAV", "query_id": "UAV-1" } ], "streams": [ "UAV" ], "relevance_signals": [ "UAV_NO_CTX" ], "auto_exclude_reason": "EC-4-topic", "screening_status": "auto_excluded", "screened_by": "auto-v1.0.0" }, { "id": "doi:10.3390/su15010376", "doi": "10.3390/su15010376", "title": "Pricing of the Bus-Truck Co-Delivery Mode of Last Mile Delivery Considering Social Welfare Maximization", "year": 2022, "authors": [ "Yunzhu He" ], "first_author": "Yunzhu He", "venue": "Sustainability", "volume": "15", "pages": null, "type": "article", "language": "en", "abstract": "In order to solve the problems of low delivery efficiency and high cost at the end of express delivery, and the impact of express trucks on urban road traffic, the co-delivery mode of trucks and buses is proposed. In this mode, without affecting the normal operation of the bus, it uses the idle resources of the bus to cooperate with the trucks to complete the delivery. The express company pays the bus delivery service fee to the bus operator, so as to improve the revenue of the bus operator. At the same time, the delivery efficiency can be improved, the express delivery cost can be reduced, and the impact of express trucks on urban traffic can be lower. A two-layer optimization model is constructed to solve the bus delivery service pricing and express space-time path selection scheme under the co-delivery mode. An example analysis is carried out through the actual bus routes and express delivery demand in Dalian. The results show that the co-delivery mode can provide consumers with more efficient services, reduce costs for express companies, provide additional revenue for bus operators, and improve social welfare. Unless the timeliness of delivery is extremely considered, the measure of using the co-delivery mode is better than the measure of relaxing restrictions on express delivery vehicles.", "keywords": [ "Truck", "Transport engineering", "Revenue", "Last mile (transportation)", "Mode (computer interface)", "Computer science", "Business", "Engineering", "Automotive engineering", "Mile", "Finance" ], "cited_by_openalex": 5, "cited_by_scopus": "8", "eid": "2-s2.0-85145995938", "pii": null, "open_access_url": "https://www.mdpi.com/2071-1050/15/1/376/pdf?version=1672053042", "sources": [ { "db": "openalex", "stream": "TRUCK", "query_id": "TRUCK-1" }, { "db": "scopus", "stream": "TRUCK", "query_id": "TRUCK-1" } ], "streams": [ "TRUCK" ], "relevance_signals": [ "TRUCK" ], "auto_exclude_reason": null, "screening_status": "pending_human_screening", "screened_by": "auto-v1.0.0" }, { "id": "doi:10.2139/ssrn.4189367", "doi": "10.2139/ssrn.4189367", "title": "Hybrid Truck-Drone Delivery Under Aerial Traffic Congestion", "year": 2022, "authors": [ "Ruifeng She", "Yanfeng Ouyang" ], "first_author": "Ruifeng She", "venue": "SSRN Electronic Journal", "volume": null, "pages": null, "type": "preprint", "language": "en", "abstract": null, "keywords": [ "Drone", "Truck", "Traffic congestion", "Transport engineering", "Computer science", "Aeronautics", "Automotive engineering", "Engineering", "Biology" ], "cited_by_openalex": 8, "cited_by_scopus": 0, "eid": null, "pii": null, "open_access_url": "https://doi.org/10.2139/ssrn.4189367", "sources": [ { "db": "openalex", "stream": "TRUCK", "query_id": "TRUCK-1" }, { "db": "openalex", "stream": "UAV", "query_id": "UAV-1" } ], "streams": [ "TRUCK", "UAV" ], "relevance_signals": [ "UAV_NO_CTX", "TRUCK_NO_CTX" ], "auto_exclude_reason": "EC-4-topic", "screening_status": "auto_excluded", "screened_by": "auto-v1.0.0" }, { "id": "doi:10.1016/j.cja.2022.09.009", "doi": "10.1016/j.cja.2022.09.009", "title": "Aerial-ground collaborative routing with time constraints", "year": 2022, "authors": [ "Jiahao Xing", "Lichen Su", "Wenjing HONG", "Lu Carol Tong", "Renli LYU", "Wenbo Du" ], "first_author": "Jiahao Xing", "venue": "Chinese Journal of Aeronautics", "volume": "36", "pages": "270-283", "type": "article", "language": "en", "abstract": "The advancement of autonomous technology makes electric-powered drones an excellent choice for flexible logistics services at the last mile delivery stage. To reach a balance between green transportation and competitive edge, the collaborative routing of drones in the air and trucks on the ground is increasingly invested in the next generation of delivery, where it is particularly reasonable to consider customer time windows and time-dependent travel times as two typical time-related factors in daily services. In this paper, we propose the Vehicle Routing Problem with Drones under Time constraints (VRPD-T) and focus on the time constraints involved in realistic scenarios during the delivery. A mixed-integer linear programming model has been developed to minimize the total delivery completion time. Furthermore, to overcome the limitations of standard solvers in handling large-scale complex issues, a space-time hybrid heuristic-based algorithm has been developed to effectively identify a high-quality solution. The numerical results produced from randomly generated instances demonstrate the effectiveness of the proposed algorithm.", "keywords": [ "Drone", "Routing (electronic design automation)", "Vehicle routing problem", "Integer programming", "Computer science", "Truck", "Heuristic", "Operations research", "Linear programming", "Enhanced Data Rates for GSM Evolution", "Last mile (transportation)", "Mathematical optimization" ], "cited_by_openalex": 6, "cited_by_scopus": "8", "eid": "2-s2.0-85143886790", "pii": "S1000936122002175", "open_access_url": "https://www.sciencedirect.com/science/article/pii/S1000936122002175/pdf", "sources": [ { "db": "openalex", "stream": "TRUCK", "query_id": "TRUCK-1" }, { "db": "openalex", "stream": "UAV", "query_id": "UAV-1" }, { "db": "openalex", "stream": "UAV", "query_id": "UAV-2" }, { "db": "scopus", "stream": "TRUCK", "query_id": "TRUCK-1" }, { "db": "scopus", "stream": "UAV", "query_id": "UAV-1" }, { "db": "scopus", "stream": "UAV", "query_id": "UAV-2" } ], "streams": [ "TRUCK", "UAV" ], "relevance_signals": [ "UAV", "TRUCK" ], "auto_exclude_reason": null, "screening_status": "pending_human_screening", "screened_by": "auto-v1.0.0" }, { "id": "doi:10.1007/s12652-022-03696-1", "doi": "10.1007/s12652-022-03696-1", "title": "Solving a 3-dimensional vehicle routing problem with delivery options in city logistics using fast-neighborhood based crowding differential evolution algorithm", "year": 2022, "authors": [ "Mu‐Chen Chen", "Sinjana Yerasani", "Manoj Kumar Tiwari" ], "first_author": "Mu‐Chen Chen", "venue": "Journal of Ambient Intelligence and Humanized Computing", "volume": "14", "pages": "10389-10402", "type": "article", "language": "en", "abstract": null, "keywords": [ "Computer science", "Vehicle routing problem", "Computational intelligence", "Last mile (transportation)", "Convergence (economics)", "Routing (electronic design automation)", "Crowding", "Differential evolution", "Service (business)", "Operations research", "Mathematical optimization", "Algorithm" ], "cited_by_openalex": 8, "cited_by_scopus": "8", "eid": "2-s2.0-85123484553", "pii": null, "open_access_url": "https://doi.org/10.1007/s12652-022-03696-1", "sources": [ { "db": "openalex", "stream": "TRUCK", "query_id": "TRUCK-2" }, { "db": "scopus", "stream": "TRUCK", "query_id": "TRUCK-2" } ], "streams": [ "TRUCK" ], "relevance_signals": [ "NO_TECHNOLOGY_MATCH" ], "auto_exclude_reason": "EC-4-topic", "screening_status": "auto_excluded", "screened_by": "auto-v1.0.0" }, { "id": "doi:10.1007/s10479-022-04939-2", "doi": "10.1007/s10479-022-04939-2", "title": "Cross-dock facility for disaster relief operations", "year": 2022, "authors": [ "Fatemeh Faghih-Mohammadi", "Mohammad Mahdi Nasiri", "Dinçer Konur" ], "first_author": "Fatemeh Faghih-Mohammadi", "venue": "Annals of Operations Research", "volume": "322", "pages": "497-538", "type": "article", "language": "en", "abstract": null, "keywords": [ "DOCK", "Truck", "Computer science", "Operations research", "Solver", "Emergency management", "Transport engineering", "Engineering" ], "cited_by_openalex": 9, "cited_by_scopus": "8", "eid": "2-s2.0-85138697638", "pii": null, "open_access_url": "https://doi.org/10.1007/s10479-022-04939-2", "sources": [ { "db": "openalex", "stream": "TRUCK", "query_id": "TRUCK-3" }, { "db": "scopus", "stream": "TRUCK", "query_id": "TRUCK-3" } ], "streams": [ "TRUCK" ], "relevance_signals": [ "TRUCK_NO_CTX" ], "auto_exclude_reason": "EC-4-topic", "screening_status": "auto_excluded", "screened_by": "auto-v1.0.0" }, { "id": "title:perspectives on charging medium and heavy duty electric vehicles", "doi": null, "title": "Perspectives on Charging Medium- and Heavy-Duty Electric Vehicles", "year": 2022, "authors": [ "Matteo Muratori" ], "first_author": "Matteo Muratori", "venue": "OSTI OAI (U.S. Department of Energy Office of Scientific and Technical Information)", "volume": null, "pages": null, "type": "article", "language": "en", "abstract": "Electric vehicles (EVs) adoption is gaining momentum globally thanks to major technological advancements as well as policy actions and support from multiple stakeholders. EVs are well positioned to replace internal combustion engine vehicles for passenger cars, SUVs, vans, trucks, and buses, but a plethora of solutions is needed to provide effective, convenient, and affordable charging to different vehicles and for various applications. This talk focuses on charging of medium and heavy-duty vehicles, the second largest source of US transportation GHG emissions, providing an overview of charging needs for different applications. Moreover, we offer a deep dive on depot charging solutions for short-haul heavy-duty trucks based on a recent Nature Energy paper.", "keywords": [ "Heavy duty", "Automotive engineering", "Electrical engineering", "Computer science", "Environmental science", "Engineering" ], "cited_by_openalex": 8, "cited_by_scopus": 0, "eid": null, "pii": null, "open_access_url": "https://www.osti.gov/biblio/1840708", "sources": [ { "db": "openalex", "stream": "TRUCK", "query_id": "TRUCK-3" } ], "streams": [ "TRUCK" ], "relevance_signals": [ "TRUCK_NO_CTX" ], "auto_exclude_reason": "EC-4-topic", "screening_status": "auto_excluded", "screened_by": "auto-v1.0.0" }, { "id": "doi:10.3390/en15145074", "doi": "10.3390/en15145074", "title": "The Impact of Airspace Discretization on the Energy Consumption of Autonomous Unmanned Aerial Vehicles (Drones)", "year": 2022, "authors": [ "Mo ElSayed", "Moataz Mohamed" ], "first_author": "Mo ElSayed", "venue": "Energies", "volume": "15", "pages": null, "type": "article", "language": "en", "abstract": "Promising massive emissions reduction and energy savings, the utilization of autonomous unmanned aerial vehicles (UAVs) in last-mile parcel delivery is continuously expanding. However, the limited UAV range deters their widescale adoption to replace ground modes of transportation. Moreover, real-world data on the impact of different parameters on the operation, emissions, and energy consumption is scarce. This study aims to assess the impact of airspace planning and discretization on the energy consumption of autonomous UAVs. We utilize a novel open-source comprehensive UAV autonomous programming framework and a digital-twin model to simulate real-world three-dimensional operation. The framework integrates airspace policies, UAV kinematics, and autonomy to accurately estimate the operational energy consumption via an experimentally verified energy model. In the simulated case study, airspace is discretized by both a traditional Cartesian method and a novel dynamic 4D discretization (Skyroutes) method. This allows for the comparison of different routing and trajectory planning algorithms for ten missions. The results show a variation in the energy consumption by up to 50%, which demonstrates the criticality of airspace discretization and planning on UAV charging infrastructure design, greenhouse gas emissions reduction, and airspace management.", "keywords": [ "Energy consumption", "Discretization", "Drone", "Computer science", "Automotive engineering", "Engineering" ], "cited_by_openalex": 10, "cited_by_scopus": "8", "eid": "2-s2.0-85136052036", "pii": null, "open_access_url": "https://www.mdpi.com/1996-1073/15/14/5074/pdf?version=1657616573", "sources": [ { "db": "openalex", "stream": "UAV", "query_id": "UAV-1" }, { "db": "scopus", "stream": "UAV", "query_id": "UAV-1" } ], "streams": [ "UAV" ], "relevance_signals": [ "UAV" ], "auto_exclude_reason": null, "screening_status": "pending_human_screening", "screened_by": "auto-v1.0.0" }, { "id": "doi:10.3390/electronics11203399", "doi": "10.3390/electronics11203399", "title": "A Greedy Heuristic Based on Optimizing Battery Consumption and Routing Distance for Transporting Blood Using Unmanned Aerial Vehicles", "year": 2022, "authors": [ "Sumayah Al-Rabiaah", "Manar Hosny", "Sarab AlMuhaideb" ], "first_author": "Sumayah Al-Rabiaah", "venue": "Electronics", "volume": "11", "pages": null, "type": "article", "language": "en", "abstract": "Unmanned Aerial Vehicles (UAVs) play crucial roles in numerous applications, such as healthcare services. For example, UAVs can help in disaster relief and rescue missions, such as by delivering blood samples and medical supplies. In this work, we studied a problem related to the routing of UAVs in a healthcare approach known as the UAV-based Capacitated Vehicle Routing Problem (UCVRP). This is classified as an NP-hard problem. The problem deals with utilizing UAVs to deliver blood to patients in emergency situations while minimizing the number of UAVs and the total routing distance. The UCVRP is a variant of the well-known capacitated vehicle routing problem, with additional constraints that fit the shipment type and the characteristics of the UAV. To solve this problem, we developed a heuristic known as the Greedy Battery—Distance Optimizing Heuristic (GBDOH). The idea was to assign patients to a UAV in such a way as to minimize the battery consumption and the number of UAVs. Then, we rearranged the patients of each UAV in order to minimize the total routing distance. We performed extensive experiments on the proposed GBDOH using instances tested by other methods in the literature. The results reveal that GBDOH demonstrates a more efficient performance with lower computational complexity and provides a better objective value by approximately 27% compared to the best methods used in the literature.", "keywords": [ "Routing (electronic design automation)", "Greedy algorithm", "Heuristic", "Computer science", "Vehicle routing problem", "Mathematical optimization", "Battery (electricity)", "Real-time computing", "Distributed computing", "Computer network", "Artificial intelligence", "Algorithm" ], "cited_by_openalex": 7, "cited_by_scopus": "8", "eid": "2-s2.0-85140911456", "pii": null, "open_access_url": "https://www.mdpi.com/2079-9292/11/20/3399/pdf?version=1666670885", "sources": [ { "db": "openalex", "stream": "UAV", "query_id": "UAV-2" }, { "db": "scopus", "stream": "UAV", "query_id": "UAV-2" } ], "streams": [ "UAV" ], "relevance_signals": [ "UAV_NO_CTX" ], "auto_exclude_reason": "EC-4-topic", "screening_status": "auto_excluded", "screened_by": "auto-v1.0.0" }, { "id": "doi:10.1109/indicon56171.2022.10039853", "doi": "10.1109/indicon56171.2022.10039853", "title": "Multi-Agent Coverage Path Planning using a Swarm of Unmanned Aerial Vehicles", "year": 2022, "authors": [ "Ragala Chethan", "Indrani Kar" ], "first_author": "Ragala Chethan", "venue": "2022 IEEE 19th India Council International Conference (INDICON)", "volume": null, "pages": null, "type": "conference-paper", "language": "en", "abstract": "In recent years, rapid technological advancements in unmanned aerial vehicles (UAVs) have propelled their applications to a wide range of areas such as agriculture, mapping & surveying, surveillance, and many more. A swarm of UAVs can efficiently accomplish the goals rather than a single UAV due to its ability to cover a larger area. Multi-agent coverage path planning (CPP) is the process of determining efficient coverage paths for the swarm of UAVs to completely cover an area of interest. A cellular grid is formed using hexagonal decomposition to ensure complete coverage, with the centroid of each cell acting as a waypoint. The k-means clustering algorithm is implemented to divide the set of waypoints such that the workload is uniformly distributed among the UAVs. Multi-agent CPP is transformed into multiple single-agent CPP, thereby alleviating the exploratory complexity of multi-agent CPP. A mixed-integer linear programming based vehicle routing problem is formed to optimize the path of each UAV considering various constraints.", "keywords": [ "Computer science", "Swarm behaviour", "Motion planning", "Set cover problem", "Waypoint", "Distributed computing", "Cluster analysis", "Real-time computing", "Path (computing)", "Cover (algebra)", "Integer programming", "Decomposition" ], "cited_by_openalex": 8, "cited_by_scopus": "8", "eid": "2-s2.0-85149240535", "pii": null, "open_access_url": "http://dx.doi.org/10.1109/indicon56171.2022.10039853", "sources": [ { "db": "openalex", "stream": "UAV", "query_id": "UAV-2" }, { "db": "scopus", "stream": "UAV", "query_id": "UAV-2" } ], "streams": [ "UAV" ], "relevance_signals": [ "UAV_NO_CTX" ], "auto_exclude_reason": "EC-4-topic", "screening_status": "auto_excluded", "screened_by": "auto-v1.0.0" }, { "id": "doi:10.3390/aerospace9080443", "doi": "10.3390/aerospace9080443", "title": "System Identification of an Aerial Delivery System with a Ram-Air Parachute Using a NARX Network", "year": 2022, "authors": [ "Kemal Güven", "Andaç Töre Şamiloğlu" ], "first_author": "Kemal Güven", "venue": "Aerospace", "volume": "9", "pages": null, "type": "article", "language": "en", "abstract": "Neural networks are one of the methods used in system identification problems. In this study, a NARX network with a serial-parallel structure was used to identify an unknown aerial delivery system with a ram-air parachute. The dataset was created using the software-in-the-loop method (Software in the loop). Gazebo was used as the simulator and PX4 was used as the autopilot software. The performance of the NARX network differed according to parameters used, such as the selected training algorithm, input and output delays, the hidden layer, and the number of neurons. Within the scope of this study, each parameter was examined independently. Models were trained using MATLAB 2020a. The results demonstrated that the model with one hidden layer and five neurons, which was trained using the Bayesian regularization algorithm, was sufficient for this problem.", "keywords": [ "Nonlinear autoregressive exogenous model", "Computer science", "Artificial neural network", "MATLAB", "Software", "Identification (biology)", "Autopilot", "System identification", "Simulation", "Artificial intelligence", "Real-time computing", "Control engineering" ], "cited_by_openalex": 4, "cited_by_scopus": "8", "eid": "2-s2.0-85137193327", "pii": null, "open_access_url": "https://www.mdpi.com/2226-4310/9/8/443/pdf?version=1660808996", "sources": [ { "db": "openalex", "stream": "UAV", "query_id": "UAV-3" }, { "db": "scopus", "stream": "UAV", "query_id": "UAV-3" } ], "streams": [ "UAV" ], "relevance_signals": [ "UAV_NO_CTX" ], "auto_exclude_reason": "EC-4-topic", "screening_status": "auto_excluded", "screened_by": "auto-v1.0.0" }, { "id": "doi:10.1097/jom.0000000000002484", "doi": "10.1097/jom.0000000000002484", "title": "Physical Activity, Sedentary Time, and Cardiometabolic Health in Heavy Goods Vehicle Drivers", "year": 2022, "authors": [ "Ruettger K." ], "first_author": "Ruettger K.", "venue": "Journal of Occupational and Environmental Medicine", "volume": "64", "pages": "E217-E223", "type": "Article", "language": null, "abstract": null, "keywords": [], "cited_by_openalex": 0, "cited_by_scopus": "8", "eid": "2-s2.0-85129239618", "pii": null, "open_access_url": null, "sources": [ { "db": "scopus", "stream": "TRUCK", "query_id": "TRUCK-3" } ], "streams": [ "TRUCK" ], "relevance_signals": [ "TRUCK_NO_CTX" ], "auto_exclude_reason": "EC-4-topic", "screening_status": "auto_excluded", "screened_by": "auto-v1.0.0" }, { "id": "title:fast algorithms for the capacitated vehicle routing problem using machine learning selection of algo", "doi": null, "title": "Fast Algorithms for the Capacitated Vehicle Routing Problem using Machine Learning Selection of Algorithm’s Parameters", "year": 2022, "authors": [ "Asín-Achá R." ], "first_author": "Asín-Achá R.", "venue": "International Joint Conference on Knowledge Discovery Knowledge Engineering and Knowledge Management Ic3k Proceedings", "volume": "1", "pages": "29-39", "type": "Conference Paper", "language": null, "abstract": null, "keywords": [], "cited_by_openalex": 0, "cited_by_scopus": "8", "eid": "2-s2.0-85146200203", "pii": null, "open_access_url": null, "sources": [ { "db": "scopus", "stream": "TRUCK", "query_id": "TRUCK-3" } ], "streams": [ "TRUCK" ], "relevance_signals": [ "NO_TECHNOLOGY_MATCH" ], "auto_exclude_reason": "EC-4-topic", "screening_status": "auto_excluded", "screened_by": "auto-v1.0.0" }, { "id": "doi:10.19961/j.cnki.1672-4747.2022.01.019", "doi": "10.19961/j.cnki.1672-4747.2022.01.019", "title": "Model and algorithm for a vehicle routing problem using multiple drones", "year": 2022, "authors": [ "Liu Y.Q." ], "first_author": "Liu Y.Q.", "venue": "Journal of Transportation Engineering and Information", "volume": "20", "pages": "102-113", "type": "Article", "language": null, "abstract": null, "keywords": [], "cited_by_openalex": 0, "cited_by_scopus": "8", "eid": "2-s2.0-85188902416", "pii": null, "open_access_url": null, "sources": [ { "db": "scopus", "stream": "UAV", "query_id": "UAV-2" } ], "streams": [ "UAV" ], "relevance_signals": [ "UAV_NO_CTX" ], "auto_exclude_reason": "EC-4-topic", "screening_status": "auto_excluded", "screened_by": "auto-v1.0.0" }, { "id": "doi:10.1145/3524053.3542743", "doi": "10.1145/3524053.3542743", "title": "Drone-Truck Cooperated Delivery Under Time Varying Dynamics", "year": 2022, "authors": [ "Arindam Khanda", "Federico Corò", "Sajal Kumar Das" ], "first_author": "Arindam Khanda", "venue": "Applied 2022 Proceedings of the 2022 Workshop on Advanced Tools Programming Languages and Platforms for Implementing and Evaluating Algorithms for Distributed Systems", "volume": null, "pages": "24-29", "type": "conference-paper", "language": "en", "abstract": "Rapid technological developments in autonomous unmanned aerial vehicles (or drones) could soon lead to their large-scale implementation in the last-mile delivery of products. However, drones have a number of problems such as limited energy budget, limited carrying capacity, etc. On the other hand, trucks have a larger carrying capacity, but they cannot reach all the places easily. Intriguingly, last-mile delivery cooperation between drones and trucks can synergistically improve delivery efficiency.", "keywords": [ "Drone", "Truck", "Mile", "Last mile (transportation)", "Computer science", "Scale (ratio)", "Aeronautics", "Transport engineering", "Engineering", "Automotive engineering", "Geography" ], "cited_by_openalex": 7, "cited_by_scopus": "7", "eid": "2-s2.0-85136206952", "pii": null, "open_access_url": "https://doi.org/10.1145/3524053.3542743", "sources": [ { "db": "openalex", "stream": "TRUCK", "query_id": "TRUCK-1" }, { "db": "openalex", "stream": "UAV", "query_id": "UAV-1" }, { "db": "scopus", "stream": "TRUCK", "query_id": "TRUCK-1" }, { "db": "scopus", "stream": "UAV", "query_id": "UAV-1" } ], "streams": [ "TRUCK", "UAV" ], "relevance_signals": [ "UAV", "TRUCK" ], "auto_exclude_reason": null, "screening_status": "pending_human_screening", "screened_by": "auto-v1.0.0" }, { "id": "doi:10.1038/d41586-022-02101-3", "doi": "10.1038/d41586-022-02101-3", "title": "Drones bearing parcels deliver big carbon savings", "year": 2022, "authors": [ "Freda Kreier" ], "first_author": "Freda Kreier", "venue": "Nature", "volume": null, "pages": null, "type": "other", "language": "en", "abstract": null, "keywords": [ "Drone", "Truck", "Mile", "Diesel fuel", "Last mile (transportation)", "Food delivery", "Environmental science", "Aeronautics", "Business", "Engineering", "Automotive engineering", "Geography" ], "cited_by_openalex": 7, "cited_by_scopus": 0, "eid": null, "pii": null, "open_access_url": "https://doi.org/10.1038/d41586-022-02101-3", "sources": [ { "db": "openalex", "stream": "TRUCK", "query_id": "TRUCK-1" }, { "db": "openalex", "stream": "UAV", "query_id": "UAV-1" } ], "streams": [ "TRUCK", "UAV" ], "relevance_signals": [ "UAV", "TRUCK" ], "auto_exclude_reason": null, "screening_status": "pending_human_screening", "screened_by": "auto-v1.0.0" }, { "id": "doi:10.1080/23302674.2022.2142463", "doi": "10.1080/23302674.2022.2142463", "title": "An optimization model for forklift utilisation and congestion control in cross-docking terminals", "year": 2022, "authors": [ "Vahid Ghomi", "Farnaz Ghazi Nezami", "Sina Shokoohyar", "Mina Ghofrani Esfahani" ], "first_author": "Vahid Ghomi", "venue": "International Journal of Systems Science Operations & Logistics", "volume": "10", "pages": null, "type": "article", "language": "en", "abstract": "This study aims to optimize cross-docking (CD) performance and efficiency in CD assignment problems by maximising forklift utilisation inside the terminal. ‘We present a new Mixed-Integer Nonlinear programming (MINLP)’ model that considers truck-door assignment and forklift utilisation inside the airport. One objective is to enhance the quality of truck-door by minimising the total transshipment costs, including the penalty cost associated with forklift underutilisation, the total forklift travel distance cost, and the total weighted loading unloading and operator cost. Another objective is to control the forklift congestion by minimising the total number of forklifts needed to transfer products between multiple doors inside the terminal. Two algorithms, including the tabu-search and the best-local-point-finder, are proposed to accomplish these objectives. Our computational results show the advantage of the proposed algorithms over the CPLEX commercial solver.", "keywords": [ "Transshipment (information security)", "Tabu search", "Solver", "Doors", "Computer science", "Truck", "Mathematical optimization", "Total cost", "Integer programming", "Operations research", "Engineering", "Automotive engineering" ], "cited_by_openalex": 8, "cited_by_scopus": "7", "eid": "2-s2.0-85143408345", "pii": null, "open_access_url": "https://scholarsphere.psu.edu/resources/18080308-198d-4f09-afa2-34bb2a25058c", "sources": [ { "db": "openalex", "stream": "TRUCK", "query_id": "TRUCK-3" }, { "db": "scopus", "stream": "TRUCK", "query_id": "TRUCK-3" } ], "streams": [ "TRUCK" ], "relevance_signals": [ "TRUCK_NO_CTX" ], "auto_exclude_reason": "EC-4-topic", "screening_status": "auto_excluded", "screened_by": "auto-v1.0.0" }, { "id": "doi:10.1177/03611981221077264", "doi": "10.1177/03611981221077264", "title": "Optimization Models for Snowplow Routes and Depot Locations: A Real-World Implementation", "year": 2022, "authors": [ "Shuoyan Xu", "Mingjian Wu", "Tae Jung Kwon", "Max S Perchanok" ], "first_author": "Shuoyan Xu", "venue": "Transportation Research Record Journal of the Transportation Research Board", "volume": "2676", "pages": "199-211", "type": "article", "language": "en", "abstract": "This study developed a series of strategies to reassess the service level of winter road maintenance (WRM) operations on the road network in Perth County, Ontario, Canada. These strategies include rearranging plow routes by sharing the material storage yards and optimizing their numbers and locations while considering operational and legislative constraints such as total circuit time, operating speeds, and the number of available trucks. A methodological framework was then formulated and solved by tackling four practical, yet challenging, tasks in a sequential manner. The first task was to identify existing plow routes and construct a detailed GIS database that was later used for benchmarking the current WRM operations. The second task involved the optimization of existing plow routes, while the third task focused on the optimization of plow routes and depot locations by amalgamating WRM operations of different municipalities within Perth County. The final task was to conduct a clean slate optimization to see the benefits of combining depots and route sharing. The optimization models developed were implemented to transform the existing maintenance operations networks to an optimized, integrated, and unified network of routes, with improved land use utilization for road maintenance yards. The framework then captured the impact of the service order of maintenance routes and arranged routing priority efficiently using the tabu search algorithm. The findings also revealed that, by sharing depots, the county could retire three depots and eight trucks while still meeting legislative requirements, thereby suggesting the potential for substantial monetary savings.", "keywords": [ "Truck", "Transport engineering", "Task (project management)", "Computer science", "Operations research", "Service (business)", "Benchmarking", "Routing (electronic design automation)", "Yard", "Vehicle routing problem", "Engineering", "Business" ], "cited_by_openalex": 9, "cited_by_scopus": "7", "eid": "2-s2.0-85135578575", "pii": null, "open_access_url": "https://doi.org/10.1177/03611981221077264", "sources": [ { "db": "openalex", "stream": "TRUCK", "query_id": "TRUCK-3" }, { "db": "scopus", "stream": "TRUCK", "query_id": "TRUCK-3" } ], "streams": [ "TRUCK" ], "relevance_signals": [ "TRUCK_NO_CTX" ], "auto_exclude_reason": "EC-4-topic", "screening_status": "auto_excluded", "screened_by": "auto-v1.0.0" }, { "id": "doi:10.1007/s10479-022-04891-1", "doi": "10.1007/s10479-022-04891-1", "title": "Point-to-point and milk run delivery scheduling: models, complexity results, and algorithms based on Benders decomposition", "year": 2022, "authors": [ "Simon Emde", "Shohre Zehtabian", "Yann Disser" ], "first_author": "Simon Emde", "venue": "Annals of Operations Research", "volume": "322", "pages": "467-496", "type": "article", "language": "en", "abstract": "We consider the problem of scheduling a set of direct deliveries between a depot and multiple customers using a given heterogeneous truck fleet. The trips have time windows and weights, and they should be completed as soon after release as possible (minimization of maximum weighted flow time). Moreover, some trips can optionally be combined in predefined milk runs (i.e., round trip tours), which need not be linear combinations of the constituent direct trips, accounting, e.g., for consolidation effects because the loading dock needs to be approached only once. This problem has applications, e.g., in just-in-time, humanitarian, and military logistics. We adapt a mixed-integer programming model from the literature to this problem and show that deciding feasibility is NP-complete in the strong sense on three levels: assigning trips to trucks, selecting milk runs, and scheduling trips on each individual truck. We also show that, despite this complexity, a state-of-the-art constraint programming solver and a problem-specific approach based on logic-based Benders decomposition can solve even large instances with up to 175 trips in many cases, while the mixed-integer programming model is essentially unsolvable using commercial optimization software. We also investigate the robustness of the maximum flow time objective in the face of unforeseen delays as well as the influence of milk runs.", "keywords": [ "TRIPS architecture", "Computer science", "Theory of computation", "Integer programming", "Solver", "Mathematical optimization", "Scheduling (production processes)", "Benders' decomposition", "Linear programming", "Constraint programming", "Operations research", "Algorithm" ], "cited_by_openalex": 7, "cited_by_scopus": "7", "eid": "2-s2.0-85135758218", "pii": null, "open_access_url": "https://pure.au.dk/portal/files/422117171/Emde_et_al._2022_-_Point-to-point_and_milk_run_delivery_scheduling_models_complexity_results_and_algorithms_based_on_Benders_decomposition-combined.pdf", "sources": [ { "db": "openalex", "stream": "TRUCK", "query_id": "TRUCK-3" }, { "db": "scopus", "stream": "TRUCK", "query_id": "TRUCK-3" } ], "streams": [ "TRUCK" ], "relevance_signals": [ "TRUCK_NO_CTX" ], "auto_exclude_reason": "EC-4-topic", "screening_status": "auto_excluded", "screened_by": "auto-v1.0.0" }, { "id": "doi:10.2514/6.2022-3766", "doi": "10.2514/6.2022-3766", "title": "Spatiotemporal Population Movement for Ground Risk of Unmanned Aerial Vehicles (UAVs) in Urbanized Environments using Public Transportation Data", "year": 2022, "authors": [ "Anush Kumar Sivakumar", "Mohd Hasrizam Che Man", "Kin Huat Low" ], "first_author": "Anush Kumar Sivakumar", "venue": "AIAA AVIATION 2022 Forum", "volume": null, "pages": null, "type": "conference-paper", "language": "en", "abstract": "View Video Presentation: https://doi.org/10.2514/6.2022-3766.vid Unmanned aerial vehicles (UAV) or ’drones’ are expected to increase in the future and be employed for a multitude of applications like parcel delivery, industrial inspection, aerial photography, and safety surveillance. Consequently, increase in UAV traffic may lead to higher likelihood of UAV failure and crash to occur. For urbanized environments, operation of UAV poses high risk to the population on ground due to increased population movement and expectation of people to be outdoors. Diffusive model simulation using random walk was employed to estimate population movement outside buildings at different times especially near Mass Rapid Transit (MRT) train stations. In our preliminary study, the influence of different times to the population movement was highlighted. It was observed that the population was more concentrated around MRT stations at morning and afternoon during weekdays, while more constant throughout the day during weekends or holidays. Ground risk mapping due to UAV operation could also be studied and performed in future study to have better understanding on this risk. Study of population movement in urbanized environments for the ground risk assessment of UAV operations will provide better insights on the limitation of current risk assessment. At the same time, this could help provide information for national aviation authorities to formulate risk assessment and approve UAV operation in urban environments.", "keywords": [ "Population", "Drone", "Computer science", "Transport engineering", "Risk assessment", "Environmental science", "Aeronautics", "Geography", "Engineering", "Computer security" ], "cited_by_openalex": 6, "cited_by_scopus": "7", "eid": "2-s2.0-85135209656", "pii": null, "open_access_url": "https://doi.org/10.2514/6.2022-3766", "sources": [ { "db": "openalex", "stream": "UAV", "query_id": "UAV-1" }, { "db": "scopus", "stream": "UAV", "query_id": "UAV-1" } ], "streams": [ "UAV" ], "relevance_signals": [ "UAV" ], "auto_exclude_reason": null, "screening_status": "pending_human_screening", "screened_by": "auto-v1.0.0" }, { "id": "doi:10.1007/978-981-19-1292-4_5", "doi": "10.1007/978-981-19-1292-4_5", "title": "Location Prediction and Trajectory Optimization in Multi-UAV Application Missions", "year": 2022, "authors": [ "Rounak Singh", "Chengyi Qu", "Alicia Esquivel Morel", "Prasad P. Calyam" ], "first_author": "Rounak Singh", "venue": "Unmanned system technologies", "volume": null, "pages": "105-131", "type": "book-chapter", "language": "en", "abstract": null, "keywords": [ "Drone", "Reinforcement learning", "Trajectory", "Computer science", "Trajectory optimization", "Kalman filter", "Real-time computing", "Network packet", "Artificial intelligence", "Computer security" ], "cited_by_openalex": 6, "cited_by_scopus": "7", "eid": "2-s2.0-85135587493", "pii": null, "open_access_url": "https://doi.org/10.1007/978-981-19-1292-4_5", "sources": [ { "db": "openalex", "stream": "UAV", "query_id": "UAV-1" }, { "db": "scopus", "stream": "UAV", "query_id": "UAV-1" } ], "streams": [ "UAV" ], "relevance_signals": [ "UAV_NO_CTX" ], "auto_exclude_reason": "EC-4-topic", "screening_status": "auto_excluded", "screened_by": "auto-v1.0.0" }, { "id": "doi:10.1109/icicict54557.2022.9917874", "doi": "10.1109/icicict54557.2022.9917874", "title": "A Comparative Study of Ant Colony Optimization and Genetic Algorithm for Path Planning of Aerial Food Delivery System", "year": 2022, "authors": [ "A Anjali", "S Amritha" ], "first_author": "A Anjali", "venue": "2022 Third International Conference on Intelligent Computing Instrumentation and Control Technologies (ICICICT)", "volume": null, "pages": "580-585", "type": "conference-paper", "language": "en", "abstract": "As technology rules the world, drones are used for creative and valuable applications. Apart from the military applications, the usage of drones in civil domains has gained immense popularity in recent days. Emerging and re-emerging viral pathogens continue to pose a major threat to global public health. As one of the prevention method is to maintain a safe distance from others, contact less delivery using drones becomes more relevant. This paper concentrates on the parcel delivery system using drones. Unmanned Aerial Vehicles can replace the conventional manual food delivery system effectively while consuming less time. The main challenge for parcel delivery drones is to plan the optimal path meeting several constraints. In the current work, the path planning of delivery drones is formulated as a travelling sales man problem and solved with two different algorithms-Ant Colony Optimization and Genetic Algorithm. Comparison is done for analyzing the efficiency and performances of both algorithms in the case of aerial food delivery system.", "keywords": [ "Drone", "Ant colony optimization algorithms", "Computer science", "Path (computing)", "Motion planning", "Food delivery", "Genetic algorithm", "Popularity", "Plan (archaeology)", "Operations research", "Artificial intelligence", "Engineering" ], "cited_by_openalex": 8, "cited_by_scopus": "7", "eid": "2-s2.0-85141360834", "pii": null, "open_access_url": "https://doi.org/10.1109/icicict54557.2022.9917874", "sources": [ { "db": "openalex", "stream": "UAV", "query_id": "UAV-1" }, { "db": "scopus", "stream": "UAV", "query_id": "UAV-1" } ], "streams": [ "UAV" ], "relevance_signals": [ "UAV" ], "auto_exclude_reason": null, "screening_status": "pending_human_screening", "screened_by": "auto-v1.0.0" }, { "id": "doi:10.3390/drones6020051", "doi": "10.3390/drones6020051", "title": "Homogeneous Agent Behaviours for the Multi-Agent Simultaneous Searching and Routing Problem", "year": 2022, "authors": [ "Thomas Kent", "Arthur Richards", "Angus Johnson" ], "first_author": "Thomas Kent", "venue": "Drones", "volume": "6", "pages": null, "type": "article", "language": "en", "abstract": "Through the use of autonomy Unmanned Aerial Vehicles (UAVs) can be used to solve a range of of multi-agent problems that exist in the real world, for example search and rescue or surveillance. Within these scenarios the global objective might often be better achieved if aspects of the problem can be optimally shared amongst its agents. However, in uncertain, dynamic and often partially observable environments centralised global-optimisation techniques are not achievable. Instead, agents may have to act on their own belief of the world, making the best decisions independently and potentially myopically. With multiple agents acting in a decentralised manner how can we discourage competitive behaviour and instead facilitate cooperation. This paper focuses on the specific problem of multiple UAVs simultaneously searching for tasks in an environment whilst efficiently routing between them and ultimately visiting them. This paper is motivated by this idea that collaboration can be simple and achieved without the need for a dialogue but instead through the design of the individual agent’s behaviour. By focusing on what is communicated we expand the use of a single agent behaviour. Which through minor modifications can produce distinct agents demonstrating independent, collaborative and competitive behaviour. In particular by investigating the role of sensor and communication ranges this paper will show that increased sensor ranges can be detrimental to system performance, and instead the simple modelling of nearby agents’ intent is a far better approach.", "keywords": [ "Computer science", "Autonomous agent", "Simple (philosophy)", "Multi-agent system", "Variety (cybernetics)", "Homogeneous", "Routing (electronic design automation)", "Distributed computing", "Autonomy", "Range (aeronautics)", "Artificial intelligence", "Engineering" ], "cited_by_openalex": 6, "cited_by_scopus": "7", "eid": "2-s2.0-85125141088", "pii": null, "open_access_url": "https://www.mdpi.com/2504-446X/6/2/51/pdf?version=1645282074", "sources": [ { "db": "openalex", "stream": "UAV", "query_id": "UAV-2" }, { "db": "scopus", "stream": "UAV", "query_id": "UAV-2" } ], "streams": [ "UAV" ], "relevance_signals": [ "UAV_NO_CTX" ], "auto_exclude_reason": "EC-4-topic", "screening_status": "auto_excluded", "screened_by": "auto-v1.0.0" }, { "id": "doi:10.7717/peerj-cs.1119", "doi": "10.7717/peerj-cs.1119", "title": "Heterogeneous mission planning for a single unmanned aerial vehicle (UAV) with attention-based deep reinforcement learning", "year": 2022, "authors": [ "Minjae Jung", "Hyondong Oh" ], "first_author": "Minjae Jung", "venue": "PeerJ Computer Science", "volume": "8", "pages": null, "type": "article", "language": "en", "abstract": "Large-scale and complex mission environments require unmanned aerial vehicles (UAVs) to deal with various types of missions while considering their operational and dynamic constraints. This article proposes a deep learning-based heterogeneous mission planning algorithm for a single UAV. We first formulate a heterogeneous mission planning problem as a vehicle routing problem (VRP). Then, we solve this by using an attention-based deep reinforcement learning approach. Attention-based neural networks are utilized as they have powerful computational efficiency in processing the sequence data for the VRP. For the input to the attention-based neural networks, the unified feature representation on heterogeneous missions is introduced, which encodes different types of missions into the same-sized vectors. In addition, a masking strategy is introduced to be able to consider the resource constraint ( e.g ., flight time) of the UAV. Simulation results show that the proposed approach has significantly faster computation time than that of other baseline algorithms while maintaining a relatively good performance.", "keywords": [ "Reinforcement learning", "Computer science", "Artificial intelligence", "Computation", "Masking (illustration)", "Feature (linguistics)", "Artificial neural network", "Constraint (computer-aided design)", "Resource (disambiguation)", "Route planning", "Representation (politics)", "Real-time computing" ], "cited_by_openalex": 8, "cited_by_scopus": "7", "eid": "2-s2.0-85141746225", "pii": null, "open_access_url": "https://doi.org/10.7717/peerj-cs.1119", "sources": [ { "db": "openalex", "stream": "UAV", "query_id": "UAV-2" }, { "db": "scopus", "stream": "UAV", "query_id": "UAV-2" } ], "streams": [ "UAV" ], "relevance_signals": [ "UAV_NO_CTX" ], "auto_exclude_reason": "EC-4-topic", "screening_status": "auto_excluded", "screened_by": "auto-v1.0.0" }, { "id": "doi:10.1109/icc45855.2022.9882288", "doi": "10.1109/icc45855.2022.9882288", "title": "Multi-Agent Learning Based Packet Routing in Multi-Hop UAV Relay Network", "year": 2022, "authors": [ "Jiawei Chen", "Ruijin Ding", "Wen Rong Wu", "Jun Liu", "Feifei Gao", "Xuemin Shen" ], "first_author": "Jiawei Chen", "venue": "IEEE International Conference on Communications", "volume": "2022-May", "pages": null, "type": "conference-paper", "language": "en", "abstract": "In this paper, we investigate the packet routing problem in a multi-hop unmanned aerial vehicles (UAV) relay network, where multiple UAVs serve as relays between a base station (BS) and remote ground users (GUs) for enhancing network throughput. The challenges are that the dynamic network topology due to UAV mobility leads to volatile wireless connection. Moreover, there exists strong interference among UAVs due to line-of-sight communication links. Towards this end, we propose a novel multi-agent deep reinforcement learning based algorithm, named as MAQMIX for: 1) designing proper UAVs’ trajectories to provide reliable network connection between the BS and remote GUs; 2) properly allocating frequency resource among UAVs to alleviate interference; 3) choosing a proper next-hop UAV for each data packet. Specifically, two training mechanisms are incorporated in the MAQMIX, i.e., intra UAV and inter UAV training mechanisms, which can tackle large action space issue and coordinate the training among UAVs, respectively. Simulation results show that the MAQMIX can significantly outperform baseline schemes in terms of transmission time and network throughput.", "keywords": [ "Computer science", "Computer network", "Relay", "Network packet", "Reinforcement learning", "Base station", "Hop (telecommunications)", "Routing table", "Throughput", "Network topology", "Packet forwarding", "Real-time computing" ], "cited_by_openalex": 6, "cited_by_scopus": "7", "eid": "2-s2.0-85139165813", "pii": null, "open_access_url": "https://doi.org/10.1109/icc45855.2022.9882288", "sources": [ { "db": "openalex", "stream": "UAV", "query_id": "UAV-2" }, { "db": "scopus", "stream": "UAV", "query_id": "UAV-2" } ], "streams": [ "UAV" ], "relevance_signals": [ "UAV_NO_CTX" ], "auto_exclude_reason": "EC-4-topic", "screening_status": "auto_excluded", "screened_by": "auto-v1.0.0" }, { "id": "doi:10.1007/s10288-022-00526-0", "doi": "10.1007/s10288-022-00526-0", "title": "A 2-phase approach for planning of hazardous waste collection using an unmanned aerial vehicle", "year": 2022, "authors": [ "Jihene Kaabi", "Youssef Harrath", "Amine Mahjoub", "Nabil M. Hewahi", "Khadija Abdulsattar" ], "first_author": "Jihene Kaabi", "venue": "4OR", "volume": "21", "pages": "585-608", "type": "article", "language": "en", "abstract": null, "keywords": [ "Hazardous waste", "Scale (ratio)", "Phase (matter)", "Computer science", "Set (abstract data type)", "Process (computing)", "Routing (electronic design automation)", "TRIPS architecture", "Linear programming", "Transfer (computing)", "Mathematical optimization", "Mathematics" ], "cited_by_openalex": 8, "cited_by_scopus": "7", "eid": "2-s2.0-85141377622", "pii": null, "open_access_url": "https://doi.org/10.1007/s10288-022-00526-0", "sources": [ { "db": "openalex", "stream": "UAV", "query_id": "UAV-2" }, { "db": "scopus", "stream": "UAV", "query_id": "UAV-2" } ], "streams": [ "UAV" ], "relevance_signals": [ "UAV_NO_CTX" ], "auto_exclude_reason": "EC-4-topic", "screening_status": "auto_excluded", "screened_by": "auto-v1.0.0" }, { "id": "doi:10.3390/math10132184", "doi": "10.3390/math10132184", "title": "An Improved Intelligent Auction Mechanism for Emergency Material Delivery", "year": 2022, "authors": [ "Jie Zhang", "Yifan Zhu", "Tao Wang", "Weiping Wang", "Rui Wang", "Xiaobo Li" ], "first_author": "Jie Zhang", "venue": "Mathematics", "volume": "10", "pages": null, "type": "article", "language": "en", "abstract": "Emergency material delivery is vital to disaster emergency rescue. Herein, the framework of the emergency material delivery system (EMDS) with the unmanned aerial vehicle (UAV) as the vehicle is proposed, and the problem is modeled into a multi-trip time-dependent dynamic vehicle routing problem with split-delivery (MTTDDVRP-SD) in combination with the rescue reality, which provides decision support for planning disaster relief material. Due to the universality of dynamic interference in the process of material delivery, an optimization algorithm based on the traditional intelligent auction mechanism is proposed to avoid system performance degradation or even collapse. The algorithm adds pre-authorization and sequential auction mechanisms to the traditional auction mechanism, where the pre-authorization mechanism improves the capability performance of the system when there is no interference during the rescue process and the sequential auction mechanism improves the resilience performance of the system when it faces interferences. Finally, considering three types of interference comprehensively, which includes new task generations, task unexpected changes and UAV’s number decreases, the proposed algorithm is compared with DTAP (DTA based on sequential single item auctions) and CBBA-PR (consensus-based bundle algorithms-partial replanning) algorithms under different dynamic interference intensity scenarios for simulation experimental from two perspectives of the capability performance and resilience performance. The results of Friedman’s test with 99% confidence interval indicate that the proposed algorithm can effectively improve the capability performance and resilience performance of EMDS.", "keywords": [ "Computer science", "Resilience (materials science)", "Emergency rescue", "Task (project management)", "Real-time computing", "Process (computing)", "Distributed computing", "Operations research", "Simulation", "Engineering", "Systems engineering" ], "cited_by_openalex": 8, "cited_by_scopus": "7", "eid": "2-s2.0-85133028962", "pii": null, "open_access_url": "https://www.mdpi.com/2227-7390/10/13/2184/pdf?version=1655973905", "sources": [ { "db": "openalex", "stream": "UAV", "query_id": "UAV-2" }, { "db": "scopus", "stream": "UAV", "query_id": "UAV-2" } ], "streams": [ "UAV" ], "relevance_signals": [ "UAV_NO_CTX" ], "auto_exclude_reason": "EC-4-topic", "screening_status": "auto_excluded", "screened_by": "auto-v1.0.0" }, { "id": "doi:10.25172/jalc.87.3.6", "doi": "10.25172/jalc.87.3.6", "title": "Vertiports: Ready for Take-off … And Landing", "year": 2022, "authors": [ "Benjamyn I. Scott" ], "first_author": "Benjamyn I. Scott", "venue": "Journal of Air Law and Commerce", "volume": null, "pages": null, "type": "article", "language": "en", "abstract": "While aviation has been used in transportation for decades, the use of vertical takeoff and landing (VTOL) aircraft for large-scale, low-cost, green, sustainable, and integrated mobility in populated areas is a new phenomenon. Despite the importance of ground infrastructure for embarkation and disembarkation of passengers, cargo, and mail, questions remain on how these “vertiports” are or should be regulated and how they will relate to existing regulated ground infrastructure such as aerodromes, airports, and heliports. Therefore, several questions arise: what is a vertiport; how do vertiports relate to other aviation infrastructure; what are the legal implications of having different terms; what laws apply to vertiports? This Article seeks to address these questions from a European Union (EU) perspective by looking at the rise of civil VTOL aircraft and the need for vertiports. Following this, the Article analyzes the current and pro-posed legal landscapes in the EU. This analysis shows how vertiports are currently regulated and highlights the steps that still need to be taken. An examination of the different terms that exist and their definitions is also undertaken. This highlights the similarities and differences that exist between the different terms, thus allowing the relevant laws to be appropriately identified and their scope understood. Finally, the Article looks at some of the legal consequences of introducing the term “vertiport” by focusing on specific EU aviation-based regulations. Thus, this shows the real-life implications of the questions posed.", "keywords": [ "Scope (computer science)", "Aviation", "Aviation law", "European union", "Civil aviation", "Takeoff", "Business", "Political science", "Law and economics", "Engineering", "Aeronautics", "International trade" ], "cited_by_openalex": 7, "cited_by_scopus": 0, "eid": null, "pii": null, "open_access_url": "http://hdl.handle.net/1887/3514131", "sources": [ { "db": "openalex", "stream": "UAV", "query_id": "UAV-3" } ], "streams": [ "UAV" ], "relevance_signals": [ "UAV_NO_CTX" ], "auto_exclude_reason": "EC-4-topic", "screening_status": "auto_excluded", "screened_by": "auto-v1.0.0" }, { "id": "doi:10.2514/6.2022-0215", "doi": "10.2514/6.2022-0215", "title": "Identification of Driving Processes for Vertiport Operations Using Agent-Based Simulation", "year": 2022, "authors": [ "Lukas Preis", "Mirko Hornung" ], "first_author": "Lukas Preis", "venue": "AIAA SCITECH 2022 Forum", "volume": null, "pages": null, "type": "conference-paper", "language": "en", "abstract": "View Video Presentation: https://doi.org/10.2514/6.2022-0215.vid Urban Air Mobility (UAM) is an emerging transportation concept promising to introduce a fast and flexible mode of transport, which may become affordable for the larger public. The anticipated demand coupled with the highly constrained urban environment creates a complex problem for infrastructure. Vertiports, as an interface between air-side and ground-side operations, have garnered some attention, yet the operational dynamics are barely understood today. This paper seeks to shed light on vertiport airfield operations to inform future fields of research and early projects of designing vertiports. Through a customized Agent-Based Modeling and Simulation (ABMS) framework, an entire day of vertiport operations can be simulated. To gain an understanding of the operational dynamics of vertiports this paper will present a sensitivity study looking at variations of (1) demand magnitudes and profiles, (2) pad operations including approach and departure and (3) vehicle turnaround including passenger boarding and de-boarding at gates. One finding is that operations are driven by peaks and asymmetries in demand, which emphasizes the need for high-fidelity analysis of vertiport airfield operations. Another finding is that the threshold between stable and instable operations is narrow and passenger delay increases exponentially beyond this threshold.", "keywords": [ "Computer science", "Fidelity", "Aviation", "Identification (biology)", "Mode (computer interface)", "Operations research", "Simulation", "Transport engineering", "Engineering", "Aerospace engineering", "Telecommunications" ], "cited_by_openalex": 6, "cited_by_scopus": "7", "eid": "2-s2.0-85122721790", "pii": null, "open_access_url": "https://doi.org/10.2514/6.2022-0215", "sources": [ { "db": "openalex", "stream": "UAV", "query_id": "UAV-3" }, { "db": "scopus", "stream": "UAV", "query_id": "UAV-3" } ], "streams": [ "UAV" ], "relevance_signals": [ "UAV_NO_CTX" ], "auto_exclude_reason": "EC-4-topic", "screening_status": "auto_excluded", "screened_by": "auto-v1.0.0" }, { "id": "doi:10.1016/b978-0-323-99770-6.00002-8", "doi": "10.1016/b978-0-323-99770-6.00002-8", "title": "Urban logistics and COVID-19", "year": 2022, "authors": [ "Dablanc L." ], "first_author": "Dablanc L.", "venue": "Transportation Amid Pandemics Lessons Learned from Covid 19", "volume": null, "pages": "131-141", "type": "Book Chapter", "language": null, "abstract": null, "keywords": [], "cited_by_openalex": 0, "cited_by_scopus": "7", "eid": "2-s2.0-85143347332", "pii": null, "open_access_url": null, "sources": [ { "db": "scopus", "stream": "TRUCK", "query_id": "TRUCK-1" } ], "streams": [ "TRUCK" ], "relevance_signals": [ "NO_TECHNOLOGY_MATCH" ], "auto_exclude_reason": "EC-4-topic", "screening_status": "auto_excluded", "screened_by": "auto-v1.0.0" }, { "id": "doi:10.1002/9781119870869", "doi": "10.1002/9781119870869", "title": "Autonomous navigation and deployment of UAVs for communication, surveillance and delivery", "year": 2022, "authors": [ "Huang H." ], "first_author": "Huang H.", "venue": "Autonomous Navigation and Deployment of Uavs for Communication Surveillance and Delivery", "volume": null, "pages": "1-260", "type": "Book", "language": null, "abstract": null, "keywords": [], "cited_by_openalex": 0, "cited_by_scopus": "7", "eid": "2-s2.0-85147602317", "pii": null, "open_access_url": null, "sources": [ { "db": "scopus", "stream": "UAV", "query_id": "UAV-1" } ], "streams": [ "UAV" ], "relevance_signals": [ "UAV_NO_CTX" ], "auto_exclude_reason": "EC-4-topic", "screening_status": "auto_excluded", "screened_by": "auto-v1.0.0" }, { "id": "title:the safety of advanced air mobility and the effects of wind in the urban canyon", "doi": null, "title": "The Safety of Advanced Air Mobility and The Effects of Wind in the Urban Canyon", "year": 2022, "authors": [ "Schajnoha S." ], "first_author": "Schajnoha S.", "venue": "78th Vertical Flight Society Annual Forum and Technology Display Forum 2022", "volume": null, "pages": null, "type": "Conference Paper", "language": null, "abstract": null, "keywords": [], "cited_by_openalex": 0, "cited_by_scopus": "7", "eid": "2-s2.0-85135025388", "pii": null, "open_access_url": null, "sources": [ { "db": "scopus", "stream": "UAV", "query_id": "UAV-3" } ], "streams": [ "UAV" ], "relevance_signals": [ "NO_TECHNOLOGY_MATCH" ], "auto_exclude_reason": "EC-4-topic", "screening_status": "auto_excluded", "screened_by": "auto-v1.0.0" }, { "id": "doi:10.1016/j.ifacol.2022.10.212", "doi": "10.1016/j.ifacol.2022.10.212", "title": "Optimal models for autonomous trucks and drones resupply for last-mile delivery in urban areas", "year": 2022, "authors": [ "Zhe Yuan", "Simon HERVE" ], "first_author": "Zhe Yuan", "venue": "IFAC-PapersOnLine", "volume": "55", "pages": "3142-3147", "type": "article", "language": "en", "abstract": "The last-mile delivery in urban areas is the biggest challenge for carriers. In recent years, e-commerce has experienced strong growth, which has caused an explosion in the number of packages to be delivered. Businesses no longer hesitate to invest in new technologies such as artificial intelligence and drones. In this paper, we present a model of autonomous truck delivery resupply by drones, introducing the concept of transshipment point. Through comparisons with other delivery models, we show that our solution can be economically viable and improve the lives of inhabitants and customers.", "keywords": [ "Drone", "Last mile (transportation)", "Truck", "Transshipment (information security)", "Mile", "Transport engineering", "Computer science", "Point (geometry)", "Business", "Engineering", "Computer security", "Geography" ], "cited_by_openalex": 3, "cited_by_scopus": "6", "eid": "2-s2.0-85144539251", "pii": "S2405896322022261", "open_access_url": "https://doi.org/10.1016/j.ifacol.2022.10.212", "sources": [ { "db": "openalex", "stream": "TRUCK", "query_id": "TRUCK-1" }, { "db": "openalex", "stream": "UAV", "query_id": "UAV-1" }, { "db": "scopus", "stream": "TRUCK", "query_id": "TRUCK-1" }, { "db": "scopus", "stream": "UAV", "query_id": "UAV-1" } ], "streams": [ "TRUCK", "UAV" ], "relevance_signals": [ "UAV", "TRUCK" ], "auto_exclude_reason": null, "screening_status": "pending_human_screening", "screened_by": "auto-v1.0.0" }, { "id": "doi:10.3390/systems10060214", "doi": "10.3390/systems10060214", "title": "Developing a Stochastic Two-Tier Architecture for Modelling Last-Mile Delivery and Implementing in Discrete-Event Simulation", "year": 2022, "authors": [ "Zichong Lyu", "Dirk John Pons", "Jiasen Chen", "Yilei Zhang" ], "first_author": "Zichong Lyu", "venue": "Systems", "volume": "10", "pages": null, "type": "article", "language": "en", "abstract": "Modelling freight logistics is challenging due to the variable consignments and diverse customers. Discrete-event Simulation (DES) is an approach that can model freight logistics and incorporate stochastic events. However, the flexible delivery routes of Pickup and Delivery (PUD) are still problematic to simulate. This research aims to develop last-mile delivery architecture in DES and evaluate the credibility of the model. A two-tier architecture was proposed and integrated with a DES model to simulate freight operations. The geographic foundation of the model was determined using Geographic Information Systems (GIS), including identifying customer locations, finding cluster centres, and implementing Travelling Salesman Problem (TSP) simulation. This complex model was simplified to the two-tier architecture with stochastic distances, which is more amenable to DES models. The model was validated with truck GPS data. The originality of the work is the development of a novel and simple methodology for developing a logistics model for highly variable last-mile delivery.", "keywords": [ "Computer science", "Architecture", "Truck", "Event (particle physics)", "Mile", "Discrete event simulation", "Operations research", "Travelling salesman problem", "Last mile (transportation)", "Simulation", "Engineering", "Geography" ], "cited_by_openalex": 7, "cited_by_scopus": "6", "eid": "2-s2.0-85144655455", "pii": null, "open_access_url": "https://www.mdpi.com/2079-8954/10/6/214/pdf?version=1668071274", "sources": [ { "db": "openalex", "stream": "TRUCK", "query_id": "TRUCK-1" }, { "db": "scopus", "stream": "TRUCK", "query_id": "TRUCK-1" } ], "streams": [ "TRUCK" ], "relevance_signals": [ "TRUCK" ], "auto_exclude_reason": null, "screening_status": "pending_human_screening", "screened_by": "auto-v1.0.0" }, { "id": "doi:10.1016/j.trpro.2021.12.016", "doi": "10.1016/j.trpro.2021.12.016", "title": "Liveability and freight transport in urban areas: the example of the Calabria Region for City Logistics", "year": 2022, "authors": [ "Maria Rosaria Trecozzi", "Giuseppe Iiritano", "Giovanna Petrungaro" ], "first_author": "Maria Rosaria Trecozzi", "venue": "Transportation research procedia", "volume": "60", "pages": "116-123", "type": "article", "language": "en", "abstract": "The freight transport in urban areas is a central theme in the studies of the last 20 years due to the increase of expenditure that influences the freight demand and the number of vehicles for their distribution. Notwithstanding its negative impact on city sustainability and liveability is usually overlooked by policy-makers. The Calabria Region has created a virtuous way for the freight distribution in urban areas, as part of the Regional Transportation Plan (RTP) by means of the dedicated measure 2.5 City Logistics. This measure indicates how to make freight distribution more efficient by specific interventions. The aim is to increase liveability and to obtain convergence of different interests of the actors involved, as citizens, public sector, retailers, and couriers, oriented to UN and EU targets and according to the RTP. This paper presents the experience of the Calabria Region related to City Logistics, as a prototypal process from planning, to programming and executing. This process includes a technical-administrative path developed with specific training activities involving all stakeholders realizing an integrated approach between different administrations with different roles in urban logistics projects. The process aims to create special urban areas where freight vehicles traffic is controlled through regulatory, management and infrastructural interventions, as time windows, upgrading fleets with environmentally vehicles, ICT/ITS, Urban Distribution Centers, Nearby Delivery Areas. The traffic control and management support the measures for COVID 19 emergency to ensure social distancing.", "keywords": [ "Business", "Distribution (mathematics)", "Transport engineering", "Traffic management", "Sustainability", "Process (computing)", "Plan (archaeology)", "Environmental planning", "Geography", "Engineering", "Computer science" ], "cited_by_openalex": 10, "cited_by_scopus": "6", "eid": "2-s2.0-85123631895", "pii": "S2352146521009169", "open_access_url": "https://www.sciencedirect.com/science/article/pii/S2352146521009169/pdf", "sources": [ { "db": "openalex", "stream": "TRUCK", "query_id": "TRUCK-1" }, { "db": "scopus", "stream": "TRUCK", "query_id": "TRUCK-1" } ], "streams": [ "TRUCK" ], "relevance_signals": [ "TRUCK" ], "auto_exclude_reason": null, "screening_status": "pending_human_screening", "screened_by": "auto-v1.0.0" }, { "id": "doi:10.1002/net.22128", "doi": "10.1002/net.22128", "title": "An exact algorithm for the service network design problem with hub capacity constraints", "year": 2022, "authors": [ "Edward He", "Natashia Boland", "George L. Nemhauser", "Martin W. P. Savelsbergh" ], "first_author": "Edward He", "venue": "Networks", "volume": null, "pages": null, "type": "article", "language": "en", "abstract": "Abstract The service network design problem is commonly used to represent the tactical decisions encountered by a consolidation carrier operating a hub‐and‐spoke network: what transportation services to operate between hubs and how to route commodities from their origin to their destination through the network. In most settings, the capacity at hubs is not a limiting factor and can safely be ignored. However, in the context of city logistics networks, where space is limited and expensive, hub capacities typically have to be taken into account. The presence of hub capacity (and time) constraints implies that, contrary to traditional service network design problems, the existence of a feasible solution is no longer guaranteed. We present an exact dynamic discretization discovery algorithm for a variant of the service network design problem in which the number of vehicles that can be loaded and unloaded simultaneously at a hub is restricted. Novel techniques are introduced in the algorithm to handle the hub capacity constraints. A computational study using instances derived from real‐world data shows the potential of dynamic discretization discovery for this class of problems: integer program sizes are reduced by a factor of up to one thousand and small to mid size instances can be (optimally) solved in an acceptable amount of time.", "keywords": [ "Computer science", "Discretization", "Mathematical optimization", "Network planning and design", "Service (business)", "Integer programming", "Context (archaeology)", "Limiting", "Consolidation (business)", "Flow network", "Operations research", "Distributed computing" ], "cited_by_openalex": 6, "cited_by_scopus": 0, "eid": null, "pii": null, "open_access_url": "https://doi.org/10.1002/net.22128", "sources": [ { "db": "openalex", "stream": "TRUCK", "query_id": "TRUCK-2" } ], "streams": [ "TRUCK" ], "relevance_signals": [ "NO_TECHNOLOGY_MATCH" ], "auto_exclude_reason": "EC-4-topic", "screening_status": "auto_excluded", "screened_by": "auto-v1.0.0" }, { "id": "doi:10.3390/app122110931", "doi": "10.3390/app122110931", "title": "Hybrid Algorithms for Inbound and Outbound Truck Scheduling in Cross-Docking Systems", "year": 2022, "authors": [ "Gen-Han Wu", "Yi-Ting Chen", "Ke-Hsuan Chen" ], "first_author": "Gen-Han Wu", "venue": "Applied Sciences", "volume": "12", "pages": null, "type": "article", "language": "en", "abstract": "A cross-docking system is a kind of facility design for the purpose of enhancing the time efficiency of a distribution center. In this study, we attempt to consider a cross-docking system without temporary storage and obtain great system performance by addressing the scheduling problem of inbound and outbound trucks, in which the total operation time of trucks is minimized. In order to reduce computational efforts, three hybrid metaheuristic approaches based on particle swarm optimization, simulated annealing, and a variable neighborhood search are proposed. By the computational experiments, the three optimized approaches are analyzed and compared with each other. The experimental results show that all of these three approaches can obtain pretty good solutions, even in the large-scale examples. Moreover, one of these approaches—a hybrid metaheuristic with particle swarm optimization and a variable neighborhood search—can usually obtain the best solutions.", "keywords": [ "Metaheuristic", "Particle swarm optimization", "Simulated annealing", "Computer science", "Truck", "Mathematical optimization", "Variable neighborhood search", "Scheduling (production processes)", "Algorithm", "Engineering", "Mathematics", "Automotive engineering" ], "cited_by_openalex": 8, "cited_by_scopus": "6", "eid": "2-s2.0-85141675232", "pii": null, "open_access_url": "https://www.mdpi.com/2076-3417/12/21/10931/pdf?version=1666949260", "sources": [ { "db": "openalex", "stream": "TRUCK", "query_id": "TRUCK-3" }, { "db": "scopus", "stream": "TRUCK", "query_id": "TRUCK-3" } ], "streams": [ "TRUCK" ], "relevance_signals": [ "TRUCK_NO_CTX" ], "auto_exclude_reason": "EC-4-topic", "screening_status": "auto_excluded", "screened_by": "auto-v1.0.0" }, { "id": "doi:10.1007/s00500-022-06999-9", "doi": "10.1007/s00500-022-06999-9", "title": "A multiplier adjustment algorithm for a truck scheduling and transshipment problem at a cross-docking terminal", "year": 2022, "authors": [ "Maria Flavia Monaco", "Marcello Sammarra" ], "first_author": "Maria Flavia Monaco", "venue": "Soft Computing", "volume": "27", "pages": "4169-4193", "type": "article", "language": "en", "abstract": null, "keywords": [ "Lagrangian relaxation", "Transshipment (information security)", "Truck", "Heuristics", "Mathematical optimization", "Job shop scheduling", "Computer science", "Scheduling (production processes)", "Lagrange multiplier", "Algorithm", "Mathematics", "Engineering" ], "cited_by_openalex": 9, "cited_by_scopus": "6", "eid": "2-s2.0-85127822937", "pii": null, "open_access_url": "https://doi.org/10.1007/s00500-022-06999-9", "sources": [ { "db": "openalex", "stream": "TRUCK", "query_id": "TRUCK-3" }, { "db": "scopus", "stream": "TRUCK", "query_id": "TRUCK-3" } ], "streams": [ "TRUCK" ], "relevance_signals": [ "TRUCK_NO_CTX" ], "auto_exclude_reason": "EC-4-topic", "screening_status": "auto_excluded", "screened_by": "auto-v1.0.0" }, { "id": "doi:10.1155/2022/2171305", "doi": "10.1155/2022/2171305", "title": "A Multiobjective Mathematical Model for Truck Scheduling Problem in Multidoor Cross‐Docking System", "year": 2022, "authors": [ "Mahziar Taghizadeh", "Amir Abbas Shojaie", "Amir Homayoun Sarfaraz", "Sadigh Raissi" ], "first_author": "Mahziar Taghizadeh", "venue": "Discrete Dynamics in Nature and Society", "volume": "2022", "pages": null, "type": "article", "language": "en", "abstract": "Cross‐docking is the main operation of unloading products from incoming trucks, regrouping products in relation to their destination, and loading directly onto shipping trucks, reducing warehousing, picking, transportation costs, and delivery times. This is the intended logistics technology. In this paper, we present a new bi‐objective mixed‐integer mathematical model for truck scheduling problems in cross‐docking systems. The goal of the proposed mixed‐integer mathematical model is to minimize the total operation time (makespan) and cost of moving cargo within the terminal. The performance of the proposed model is compared with that of the available model to solve small instances. The results showed that in solving small size of problem, the proposed model in this study is more efficient and we found better solutions. An evolutionary algorithm called the nondominated sorting genetic algorithm (NSGA‐II) has been proposed to solve larger instances due to computational complexity. To evaluate the proposed algorithm, a comparative analysis of benchmark instances was performed and the efficiency of the above algorithm was compared to the nondominated ranked algorithm (NRGA) based on the index designed in the literature. The statistical hypothesis testing ( t ‐test) is used for determining the best algorithm based on the average runtime and average number of Pareto solutions. Using the Taguchi method, the proposed algorithms are tuned. Considering a temporary storage space and the multiple receiving and shipping docks is the main contribution of the paper. Finally, for evaluating algorithms, multicriteria decision‐making (MCDM) technique and statistical method are used. The results show the suitable performance of presented model.", "keywords": [ "Truck", "Computer science", "Mathematical optimization", "Sorting", "Job shop scheduling", "Scheduling (production processes)", "Genetic algorithm", "Integer programming", "Multi-objective optimization", "Taguchi methods", "Algorithm", "Schedule" ], "cited_by_openalex": 6, "cited_by_scopus": "6", "eid": "2-s2.0-85135684486", "pii": null, "open_access_url": "https://downloads.hindawi.com/journals/ddns/2022/2171305.pdf", "sources": [ { "db": "openalex", "stream": "TRUCK", "query_id": "TRUCK-3" }, { "db": "scopus", "stream": "TRUCK", "query_id": "TRUCK-3" } ], "streams": [ "TRUCK" ], "relevance_signals": [ "TRUCK_NO_CTX" ], "auto_exclude_reason": "EC-4-topic", "screening_status": "auto_excluded", "screened_by": "auto-v1.0.0" }, { "id": "doi:10.3390/agriengineering4020037", "doi": "10.3390/agriengineering4020037", "title": "Central Control for Optimized Herbaceous Feedstock Delivery to a Biorefinery from Satellite Storage Locations", "year": 2022, "authors": [ "Jonathan P. Resop", "John S. Cundiff", "Robert D. Grisso" ], "first_author": "Jonathan P. Resop", "venue": "AgriEngineering", "volume": "4", "pages": "544-565", "type": "article", "language": "en", "abstract": "The delivery of herbaceous feedstock from satellite storage locations (SSLs) to a biorefinery or preprocessing depot is a logistics problem that must be optimized before a new bioenergy industry can be realized. Both load-out productivity, defined as the loading of 5 × 4 round bales into a 20-bale rack at the SSL, and truck productivity, defined as the hauling of bales from the SSLs to the biorefinery, must be maximized. Productivity (Mg/d) is maximized and cost (USD/Mg) is minimized when approximately the same number the loads is received each day. To achieve this, a central control model is proposed, where a feedstock manager at the biorefinery can dispatch a truck to any SSL where a load will be available when the truck arrives. Simulations of this central control model for different numbers of simultaneous load-out operations were performed using a database of potential production fields within a 50 km radius of a theoretical biorefinery in Gretna, VA. The minimum delivered cost (i.e., load-out plus truck) was achieved with nine load-outs and a fleet of eight trucks. The estimated cost was 11.24 and 11.62 USD/Mg of annual biorefinery capacity (assuming 24/7 operation over 48 wk/y for a total of approximately 150,000 Mg/y) for the load-out and truck, respectively. The two costs were approximately equal, reinforcing the desirability of a central control to maximize the productivity of these two key operations simultaneously.", "keywords": [ "Truck", "Biorefinery", "Raw material", "Environmental science", "Productivity", "Haulage", "Engineering", "Automotive engineering", "Waste management", "Biofuel", "Mechanical engineering" ], "cited_by_openalex": 6, "cited_by_scopus": "6", "eid": "2-s2.0-85132149883", "pii": null, "open_access_url": "https://www.mdpi.com/2624-7402/4/2/37/pdf?version=1655807875", "sources": [ { "db": "openalex", "stream": "TRUCK", "query_id": "TRUCK-3" }, { "db": "scopus", "stream": "TRUCK", "query_id": "TRUCK-3" } ], "streams": [ "TRUCK" ], "relevance_signals": [ "TRUCK_NO_CTX" ], "auto_exclude_reason": "EC-4-topic", "screening_status": "auto_excluded", "screened_by": "auto-v1.0.0" }, { "id": "doi:10.1109/ispa-bdcloud-socialcom-sustaincom57177.2022.00092", "doi": "10.1109/ispa-bdcloud-socialcom-sustaincom57177.2022.00092", "title": "Efficient Face Recognition via Multi-UAV-Edge Collaboration in UAV Delivery Service", "year": 2022, "authors": [ "Yi Xu", "Ruyi Guo", "Xiao Liu", "Haoyu Luo", "Chengzu Dong", "Aiting Yao", "Xuejun Li" ], "first_author": "Yi Xu", "venue": "Proceedings 20th IEEE International Symposium on Parallel and Distributed Processing with Applications 12th IEEE International Conference on Big Data and Cloud Computing 12th IEEE International Conference on Sustainable Computing and Communications and 15th IEEE International Conference on Social Computing and Networking Ispa Bdcloud Socialcom Sustaincom 2022", "volume": null, "pages": "676-683", "type": "conference-paper", "language": "en", "abstract": "In recent years, smart unmanned aerial vehicle (UAV) delivery has become a promising solution to solve the last-mile delivery problem in smart logistics. In a smart UAV delivery system, the accurate identification of the target consignee is a critical task. Face recognition as an important AI application for user authentication, existing cloud computing based face recognition methods often face several critical issues such as massive data transmission to the cloud, slow response time, and the concern over user data privacy. To address these issues, in this paper, we propose a multi-UAV-edge collaborative framework for accurate, efficient and secure face recognition in the edge computing environment. Specifically, the feature values are extracted from the target consignee's face images and then stored on the permissioned blockchain node. Second, a parallel task processing framework for face recognition on edge servers is proposed. Finally, the results of face recognition are broadcasted to all UAVs so that they are working collaboratively to identify their target consignee. Simulation experiments based on a real-world smart UAV delivery system demonstrate the effectiveness of the proposed multi-UAV-edge collaborative framework.", "keywords": [ "Computer science", "Facial recognition system", "Cloud computing", "Edge computing", "Enhanced Data Rates for GSM Evolution", "Server", "Task (project management)", "Authentication (law)", "Feature extraction", "Embedded system", "Computer security", "Artificial intelligence" ], "cited_by_openalex": 5, "cited_by_scopus": "6", "eid": "2-s2.0-85151981926", "pii": null, "open_access_url": "https://figshare.com/articles/conference_contribution/Efficient_Face_Recognition_via_Multi-UAV-Edge_Collaboration_in_UAV_Delivery_Service/22680766", "sources": [ { "db": "openalex", "stream": "UAV", "query_id": "UAV-1" }, { "db": "scopus", "stream": "UAV", "query_id": "UAV-1" } ], "streams": [ "UAV" ], "relevance_signals": [ "UAV" ], "auto_exclude_reason": null, "screening_status": "pending_human_screening", "screened_by": "auto-v1.0.0" }, { "id": "doi:10.1109/smc53654.2022.9945266", "doi": "10.1109/smc53654.2022.9945266", "title": "Solving Vehicle Routing Problem with Drones Based on a Bi-level Heuristic Approach", "year": 2022, "authors": [ "Jian Yang", "Haobin Yang", "Zonghan He", "Qi Gang Zhao", "Yuhui Shi" ], "first_author": "Jian Yang", "venue": "2022 IEEE International Conference on Systems, Man, and Cybernetics (SMC)", "volume": "2022-October", "pages": "2906-2911", "type": "conference-paper", "language": "en", "abstract": "Unmanned Aerial Vehicles (UAVs), or drones, have the potential to be applied to delivery services, which are expected to bring economic benefits. One of the key issues is planning routes for vehicles and drones with specific constraints and objectives, known as Vehicle Routing Problem with Drones (VRPD). This paper considers a scenario involving multiple trucks, multiple UAV stations, and UAVs within each station to serve the customers. A bi-level approach that combines the Brain Storm optimization algorithm and Adaptive Large Neighborhood Search is proposed by designing the solution representation, new solution generation mechanism, and other operations. The experimental results show that the proposed method has the ability to solve the problem and deserves further development.", "keywords": [ "Drone", "Computer science", "Routing (electronic design automation)", "Vehicle routing problem", "Heuristic", "Key (lock)", "Truck", "Representation (politics)", "Operations research", "Mathematical optimization", "Distributed computing", "Computer network" ], "cited_by_openalex": 6, "cited_by_scopus": "6", "eid": "2-s2.0-85142669709", "pii": null, "open_access_url": "https://doi.org/10.1109/smc53654.2022.9945266", "sources": [ { "db": "openalex", "stream": "UAV", "query_id": "UAV-2" }, { "db": "scopus", "stream": "UAV", "query_id": "UAV-2" } ], "streams": [ "UAV" ], "relevance_signals": [ "UAV_NO_CTX", "TRUCK_NO_CTX" ], "auto_exclude_reason": "EC-4-topic", "screening_status": "auto_excluded", "screened_by": "auto-v1.0.0" }, { "id": "doi:10.1109/iceic54506.2022.9748803", "doi": "10.1109/iceic54506.2022.9748803", "title": "An ILP-based Approach to Delivery Drone Routing under Load-dependent Flight Speed", "year": 2022, "authors": [ "Mao Nishira", "Satoshi Ito", "Hiroki Nishikawa", "Xiangbo Kong", "Hiroyuki Tomiyama" ], "first_author": "Mao Nishira", "venue": "2022 International Conference on Electronics Information and Communication Iceic 2022", "volume": null, "pages": null, "type": "conference-paper", "language": "en", "abstract": "This paper proposes an Integer Linear Programming (ILP) -based approach to delivery drone routing under load-dependent flight speed. Drone routing problems are attracting attention due to the increasing importance of drone delivery as a courier service. In general, delivery time is one of the most crucial concerns for both customers and couriers. Experiments demonstrate that the ILP-based approach can efficiently find a flight route in such a way that the overall delivery time is minimized, compared to the state-of-the-art methods.", "keywords": [ "Drone", "Integer programming", "Routing (electronic design automation)", "Computer science", "Linear programming", "Distributed computing", "Computer network", "Algorithm" ], "cited_by_openalex": 7, "cited_by_scopus": "6", "eid": "2-s2.0-85128872280", "pii": null, "open_access_url": "https://doi.org/10.1109/iceic54506.2022.9748803", "sources": [ { "db": "openalex", "stream": "UAV", "query_id": "UAV-2" }, { "db": "scopus", "stream": "UAV", "query_id": "UAV-2" } ], "streams": [ "UAV" ], "relevance_signals": [ "UAV" ], "auto_exclude_reason": null, "screening_status": "pending_human_screening", "screened_by": "auto-v1.0.0" }, { "id": "doi:10.1007/s10589-022-00383-x", "doi": "10.1007/s10589-022-00383-x", "title": "Polyhedral analysis and a new algorithm for the length constrained K–drones rural postman problem", "year": 2022, "authors": [ "James F. Campbell", "Ángel Corberán", "Isaac Plana", "José María Sanchis", "Paula Segura" ], "first_author": "James F. Campbell", "venue": "Computational Optimization and Applications", "volume": "83", "pages": "67-109", "type": "article", "language": "en", "abstract": null, "keywords": [ "Mathematics", "Drone", "Algorithm", "Mathematical optimization", "Combinatorics" ], "cited_by_openalex": 5, "cited_by_scopus": "6", "eid": "2-s2.0-85132326115", "pii": null, "open_access_url": "http://hdl.handle.net/10251/200285", "sources": [ { "db": "openalex", "stream": "UAV", "query_id": "UAV-2" }, { "db": "scopus", "stream": "UAV", "query_id": "UAV-2" } ], "streams": [ "UAV" ], "relevance_signals": [ "UAV_NO_CTX" ], "auto_exclude_reason": "EC-4-topic", "screening_status": "auto_excluded", "screened_by": "auto-v1.0.0" }, { "id": "doi:10.1007/s11036-022-02045-y", "doi": "10.1007/s11036-022-02045-y", "title": "Multirole UAVs Supported Parking Surveillance System", "year": 2022, "authors": [ "Goran Jauševac", "Dalibor Dobrilović", "Vladimir Brtka", "Gordana Jotanović", "Dragan Peraković", "Željko Stojanov" ], "first_author": "Goran Jauševac", "venue": "Mobile Networks and Applications", "volume": "28", "pages": "1246-1254", "type": "article", "language": "en", "abstract": null, "keywords": [ "Drone", "Computer science", "Set (abstract data type)", "Convolutional neural network", "Routing (electronic design automation)", "Process (computing)", "Real-time computing", "Artificial intelligence", "Travelling salesman problem", "Test set", "Embedded system", "Algorithm" ], "cited_by_openalex": 7, "cited_by_scopus": "6", "eid": "2-s2.0-85141212891", "pii": null, "open_access_url": "https://doi.org/10.1007/s11036-022-02045-y", "sources": [ { "db": "openalex", "stream": "UAV", "query_id": "UAV-2" }, { "db": "scopus", "stream": "UAV", "query_id": "UAV-2" } ], "streams": [ "UAV" ], "relevance_signals": [ "UAV_NO_CTX" ], "auto_exclude_reason": "EC-4-topic", "screening_status": "auto_excluded", "screened_by": "auto-v1.0.0" }, { "id": "doi:10.11591/ijeecs.v28.i2.pp946-953", "doi": "10.11591/ijeecs.v28.i2.pp946-953", "title": "Routing flying Ad Hoc network using salp swarm algorithm", "year": 2022, "authors": [ "Alaa Ibrahim Mahmood", "Omar Ibrahim Alsaif", "Ibrahim Ahmed Saleh" ], "first_author": "Alaa Ibrahim Mahmood", "venue": "Indonesian Journal of Electrical Engineering and Computer Science", "volume": "28", "pages": "946-953", "type": "article", "language": "en", "abstract": "An Ad-hoc network is collection of mobile nodes without the necessity of existing any centralized access points. In this paper introduce novel protocol that used to improveAdHoc protocol with salp swarm algorithm to routed flying Ad Hoc Network (FANET) by method of simulation. FANET predicated unmanned aerial vehicles (UAV), it designed wireless network has nodes withwith high mobility, actively changing topology and movement in 3D space. The main problem for FANET manner of routing packets among managed nodes. The new protocol based on salp swarm algorithm called “SalpAdHoc” protocol to solve routing problem and less the conjunction, thesimulation results of an experimental study confirming the feasibility of using salp swarm algorithms for routing in FANET are presented.", "keywords": [ "Computer network", "Computer science", "Wireless Routing Protocol", "Wireless ad hoc network", "Optimized Link State Routing Protocol", "Routing protocol", "Mobile ad hoc network", "Distributed computing", "Ad hoc wireless distribution service", "Swarm behaviour", "Destination-Sequenced Distance Vector routing", "Dynamic Source Routing" ], "cited_by_openalex": 4, "cited_by_scopus": "6", "eid": "2-s2.0-85139373386", "pii": null, "open_access_url": "https://ijeecs.iaescore.com/index.php/IJEECS/article/download/27303/16803", "sources": [ { "db": "openalex", "stream": "UAV", "query_id": "UAV-2" }, { "db": "scopus", "stream": "UAV", "query_id": "UAV-2" } ], "streams": [ "UAV" ], "relevance_signals": [ "UAV_NO_CTX" ], "auto_exclude_reason": "EC-4-topic", "screening_status": "auto_excluded", "screened_by": "auto-v1.0.0" }, { "id": "doi:10.3926/jairm.207", "doi": "10.3926/jairm.207", "title": "Management of urban air mobility for sustainable and smart cities: Vertiport networks using a user-centred design", "year": 2022, "authors": [ "Marta Gouveia", "Veruska Mazza Rodrigues Dias", "Jorge Miguel Reis Silva" ], "first_author": "Marta Gouveia", "venue": "Journal of Airline and Airport Management", "volume": null, "pages": null, "type": "article", "language": "en", "abstract": "Purpose: Urban mobility is all about people as well as the climate change issue is a human issue. Thus, this research envisions to provide conditions and practical tools through the innovation in urban mobility by bringing urban air mobility (UAM) to cities worldwide, contributing to change lives for the better and reversing the global issue of climate change.Design/methodology/approach: This study goes through two phases: social feasibility and technical feasibility. Moreover, it incorporates a user-centred design based on the systematic engagement of people in the decision-making process alongside a parallel interaction with several stakeholders. An innovative roadmap based on real data and feedback is obtained to implement a vertiport network in Lisbon, Portugal.Findings: By tackling people and stakeholders’ concerns related to vertiport networks implementation (e.g., safety, security, environmental, travel costs, and noise pollution concerns), the people’s needs (e.g., time savings, contribution to less air pollution, enjoyment, and sending and purchasing merchandise) and stakeholders' needs (e.g., adaptation related to airspace and ground integration and capacity, enabling technology, and real-time update and share of data) might be addressed, as by-products. Plus, we could minimize concerns by maximizing opportunities, like optimizing the airspace architecture and enhancing current airspace operations, a chance for businesses to develop on-demand, innovative, and green technologies, and higher employment opportunities. Finally, we have discovered that driving positive global change requires inspiring others by addressing people’s needs and concerns and, by then, calling them to action.Originality/value: UAM’s market reveals a gap in engaging this technology with the people, which is the key enabler to success in the long run. Empathic communication is, therefore, an integral tool to bring urban air mobility to our lives and our world. So, this investigation thrives on humanizing technology to narrow the gap between the science community, public authorities, the industry, and consumers.", "keywords": [ "Originality", "Purchasing", "Business", "Environmental economics", "Computer science", "Marketing", "Economics" ], "cited_by_openalex": 6, "cited_by_scopus": 0, "eid": null, "pii": null, "open_access_url": "http://www.jairm.org/index.php/jairm/article/download/207/150", "sources": [ { "db": "openalex", "stream": "UAV", "query_id": "UAV-3" } ], "streams": [ "UAV" ], "relevance_signals": [ "UAV_NO_CTX" ], "auto_exclude_reason": "EC-4-topic", "screening_status": "auto_excluded", "screened_by": "auto-v1.0.0" }, { "id": "doi:10.1109/dasc55683.2022.9925838", "doi": "10.1109/dasc55683.2022.9925838", "title": "A Flight Replanning Tool for Terminal Area Urban Air Mobility Operations", "year": 2022, "authors": [ "Anne S. Suzuki", "Quang V. Dao" ], "first_author": "Anne S. Suzuki", "venue": "2022 IEEE/AIAA 41st Digital Avionics Systems Conference (DASC)", "volume": null, "pages": null, "type": "conference-paper", "language": "en", "abstract": "In this paper we describe and evaluate a flight replanning tool, called the trial planner, for terminal area air transport applications. The trial planner employs predefined airspace structures to generate rerouting options between vertiports. In a simplified definition, vertiports are facilities that provide services for managing the take-off and landing of autonomous or manned electric vertical take-off or landing (eVTOL) aircraft. The airspace structures involved in our test cases are arrival routes that consisting of predefined entry points to which a transitional path is computed dynamically from the current position of the aircraft. Rerouting options include both the transitional path and approach segment along the arrival route. These rerouting options are not vetted for potential conflicts with other operations until a human operator commits to a choice and forwards the flight plan modification for approval from an automated airspace management service. A selected rerouting option is executed by loading a flight plan file to the aircraft ground control station. We conducted a qualitative evaluation of the trial planner using ratings provided by flight crews and air transportation human factors experts with relevant experience from air traffic control. The trial-planner was evaluated against operator rated trust in the route recommendations and rated adequacy of the explanations for the route options. In this paper, we detail the logic and implementation of the trial planner, as well as report the results of the evaluation of the implementation herein.", "keywords": [ "Planner", "Flight plan", "Terminal (telecommunication)", "Air traffic control", "Path (computing)", "Operator (biology)", "Plan (archaeology)", "Service (business)", "Computer science", "Control (management)", "Air traffic management", "Position (finance)" ], "cited_by_openalex": 6, "cited_by_scopus": 0, "eid": null, "pii": null, "open_access_url": "https://doi.org/10.1109/dasc55683.2022.9925838", "sources": [ { "db": "openalex", "stream": "UAV", "query_id": "UAV-3" } ], "streams": [ "UAV" ], "relevance_signals": [ "UAV_NO_CTX" ], "auto_exclude_reason": "EC-4-topic", "screening_status": "auto_excluded", "screened_by": "auto-v1.0.0" }, { "id": "doi:10.1007/978-981-19-1742-4_27", "doi": "10.1007/978-981-19-1742-4_27", "title": "Future Mobility with eVTOL Personal Air Vehicle (PAV): Urban Air Mobility (UAM) Concept", "year": 2022, "authors": [ "M. Naga Praveen Babu", "Sidvik Basa", "Prasanth Kumar Duba", "P. Rajalakshmi" ], "first_author": "M. Naga Praveen Babu", "venue": "Lecture notes in electrical engineering", "volume": "893 LNEE", "pages": "323-337", "type": "conference-paper", "language": "en", "abstract": null, "keywords": [ "Cruise", "Transport engineering", "Aviation", "Automotive engineering", "Personal mobility", "Mode (computer interface)", "Marine engineering", "Engineering", "Aerospace engineering", "Computer science", "Telecommunications" ], "cited_by_openalex": 4, "cited_by_scopus": "6", "eid": "2-s2.0-85129849702", "pii": null, "open_access_url": "https://doi.org/10.1007/978-981-19-1742-4_27", "sources": [ { "db": "openalex", "stream": "UAV", "query_id": "UAV-3" }, { "db": "scopus", "stream": "UAV", "query_id": "UAV-3" } ], "streams": [ "UAV" ], "relevance_signals": [ "NO_TECHNOLOGY_MATCH" ], "auto_exclude_reason": "EC-4-topic", "screening_status": "auto_excluded", "screened_by": "auto-v1.0.0" }, { "id": "doi:10.1504/ejie.2022.121904", "doi": "10.1504/ejie.2022.121904", "title": "Heuristic procedure for bi-capacitated multiple-trip vehicle routing problem", "year": 2022, "authors": [ "Rattanamanee T." ], "first_author": "Rattanamanee T.", "venue": "European Journal of Industrial Engineering", "volume": "16", "pages": "294-316", "type": "Article", "language": null, "abstract": null, "keywords": [], "cited_by_openalex": 0, "cited_by_scopus": "6", "eid": "2-s2.0-85128705565", "pii": null, "open_access_url": null, "sources": [ { "db": "scopus", "stream": "TRUCK", "query_id": "TRUCK-1" }, { "db": "scopus", "stream": "TRUCK", "query_id": "TRUCK-2" } ], "streams": [ "TRUCK" ], "relevance_signals": [ "NO_TECHNOLOGY_MATCH" ], "auto_exclude_reason": "EC-4-topic", "screening_status": "auto_excluded", "screened_by": "auto-v1.0.0" }, { "id": "doi:10.1016/j.tre.2021.102518", "doi": "10.1016/j.tre.2021.102518", "title": "Rest break policy comparison for heavy vehicle drivers in Australia", "year": 2022, "authors": [ "Eskandarzadeh S." ], "first_author": "Eskandarzadeh S.", "venue": "Transportation Research Part E Logistics and Transportation Review", "volume": "159", "pages": null, "type": "Article", "language": null, "abstract": null, "keywords": [], "cited_by_openalex": 0, "cited_by_scopus": "6", "eid": "2-s2.0-85124129249", "pii": "S1366554521002799", "open_access_url": null, "sources": [ { "db": "scopus", "stream": "TRUCK", "query_id": "TRUCK-3" } ], "streams": [ "TRUCK" ], "relevance_signals": [ "NO_TECHNOLOGY_MATCH" ], "auto_exclude_reason": "EC-4-topic", "screening_status": "auto_excluded", "screened_by": "auto-v1.0.0" }, { "id": "doi:10.1109/vtc2022-spring54318.2022.9860823", "doi": "10.1109/vtc2022-spring54318.2022.9860823", "title": "Autonomous Tethered Drone Cell for IoT Connectivity in 6G Communications", "year": 2022, "authors": [ "Kondo S." ], "first_author": "Kondo S.", "venue": "IEEE Vehicular Technology Conference", "volume": "2022-June", "pages": null, "type": "Conference Paper", "language": null, "abstract": null, "keywords": [], "cited_by_openalex": 0, "cited_by_scopus": "6", "eid": "2-s2.0-85137811073", "pii": null, "open_access_url": null, "sources": [ { "db": "scopus", "stream": "UAV", "query_id": "UAV-2" } ], "streams": [ "UAV" ], "relevance_signals": [ "UAV_NO_CTX" ], "auto_exclude_reason": "EC-4-topic", "screening_status": "auto_excluded", "screened_by": "auto-v1.0.0" }, { "id": "doi:10.1177/03611981221093620", "doi": "10.1177/03611981221093620", "title": "Using Large-Scale Drone Data to Monitor and Assess the Behavior of Freight Vehicles on Urban Level", "year": 2022, "authors": [ "Allister Loder", "Thomas G. Otte", "Klaus Bogenberger" ], "first_author": "Allister Loder", "venue": "Transportation Research Record Journal of the Transportation Research Board", "volume": "2676", "pages": "496-507", "type": "article", "language": "en", "abstract": "Compared with public transport operations, urban freight traffic and its associated delivery operations seem to be frequently overlooked in urban traffic management and traffic flow theory. One explanation for this is certainly the lack of available data, as the competitive freight transport market is fragmented and several actors are unwilling to collect or share tactical and operational data. In this study, we use the unique pNEUMA drone data set from Athens, Greece, to shed light on urban freight operations. We discuss macroscopic traffic indicators in a multimodal context. As the vehicle stopping behavior can adversely influence traffic flow, we reveal the stopping behavior of the different modes represented in the data set using clustering techniques. We find that urban freight vehicles’ stopping frequency lies between the stopping frequencies of cars and buses. We reveal the distribution of stopping times for loading and unloading stops in Athens to have a mean of around 380 seconds. Clustering all loading and unloading stops further reveals three groups of loading and unloading stops that could be labeled by incorporating knowledge and expertise about local particularities. The limited flight time of drones, owing to their battery capacities, did not allow reconstruction of longer vehicle routes, such as an entire vehicle tour within the network. However, this could be addressed in future research by realizing continuous large-scale monitoring routines. The revealed vehicle behavior parameters can be used in traffic models to generate further insights into the impacts of urban freight transport to inform public sector decision makers.", "keywords": [ "Drone", "Context (archaeology)", "Transport engineering", "Cluster analysis", "Traffic flow (computer networking)", "Scale (ratio)", "Public transport", "Set (abstract data type)", "Computer science", "Traffic management", "Flow network", "Operations research" ], "cited_by_openalex": 5, "cited_by_scopus": "5", "eid": "2-s2.0-85141796065", "pii": null, "open_access_url": "https://doi.org/10.1177/03611981221093620", "sources": [ { "db": "openalex", "stream": "TRUCK", "query_id": "TRUCK-1" }, { "db": "openalex", "stream": "TRUCK", "query_id": "TRUCK-2" }, { "db": "openalex", "stream": "UAV", "query_id": "UAV-2" }, { "db": "scopus", "stream": "TRUCK", "query_id": "TRUCK-1" } ], "streams": [ "TRUCK", "UAV" ], "relevance_signals": [ "UAV", "TRUCK" ], "auto_exclude_reason": null, "screening_status": "pending_human_screening", "screened_by": "auto-v1.0.0" }, { "id": "doi:10.7307/ptt.v34i5.4143", "doi": "10.7307/ptt.v34i5.4143", "title": "How the Volume of Traffic Affected Air Quality During the Extreme Event of COVID-19 Lockdown in a Small City", "year": 2022, "authors": [ "Branka Trček", "Rok Kamnik" ], "first_author": "Branka Trček", "venue": "PROMET - Traffic&Transportation", "volume": "34", "pages": "789-800", "type": "article", "language": "en", "abstract": "The extreme traffic measures during the COVID-19 lockdown provided a unique opportunity to gain better insight into the relationship between traffic characteristics and NO2 concentrations in Maribor, a small Slovenian city. NO2, traffic and meteorological data were statistically processed in detail for March and April 2018, 2019 and 2020 to get a historical insight and to exclude the specifics of the lockdown period. The extreme event resulted in an average reduction of road traffic of 42%. The decrease in the number of passenger cars ranged from 33.9 to 60.3% per day with the largest decrease on the motorway. Daily averages of heavy goods traffic declined on the motorway and the expressway by 24.6% and 7%, respectively. Traffic characteristics were reflected in a 24–27% decrease in NO2 concentrations at the urban station. The change is smaller than the change in traffic volume, which could be explained by the change in the composition of the vehicle fleet due to the increase in NO2-dominant traffic sources, e.g. diesel heavy goods vehicles. The presented results are relevant for improving air quality and sustainable mobility management in small cities. They highlight the important role of reorganisation of heavy goods traffic in urban logistics.", "keywords": [ "Traffic volume", "Coronavirus disease 2019 (COVID-19)", "Transport engineering", "Heavy traffic", "Volume (thermodynamics)", "Air quality index", "Environmental science", "Quality (philosophy)", "Business", "Geography", "Meteorology", "Engineering" ], "cited_by_openalex": 4, "cited_by_scopus": "5", "eid": "2-s2.0-85141182602", "pii": null, "open_access_url": "https://traffic2.fpz.hr/index.php/PROMTT/article/download/93/24", "sources": [ { "db": "openalex", "stream": "TRUCK", "query_id": "TRUCK-1" }, { "db": "scopus", "stream": "TRUCK", "query_id": "TRUCK-1" } ], "streams": [ "TRUCK" ], "relevance_signals": [ "TRUCK" ], "auto_exclude_reason": null, "screening_status": "pending_human_screening", "screened_by": "auto-v1.0.0" }, { "id": "doi:10.31387/oscm0490342", "doi": "10.31387/oscm0490342", "title": "Location-inventory-routing Problem in a Context of City Logistics: A Case Study of Jakarta", "year": 2022, "authors": [ "Nova Indah Saragih", "Senator Nur Bahagia", "Suprayogi Suprayogi", "Ibnu Syabri" ], "first_author": "Nova Indah Saragih", "venue": "Operations and Supply Chain Management An International Journal", "volume": "15", "pages": "218-227", "type": "article", "language": "en", "abstract": "City logistics idea is to develop an effective, efficient, and environmentally friendly logistics system.The development of city logistics is related to energy consumption, traffic congestion, economic and environmental problems.As one of the megacities in the world, Jakarta faces an inventory problem which is low availability of only 76%.Jakarta also faces the problem of transportation that is traffic congestion.The problems show that it is needed to develop city logistics in Jakarta.City logistics developed in this paper is related to decisions of location, inventory, and routing problems or LIRP (location-inventory-routing problem) in short.The LIRP takes into account multi-products, multi suppliers, and traffic congestion as an external parameters.This paper aims to develop a heuristic method to solve the LIRP.The heuristic method is based on simulated annealing (SA) algorithm.Existing literature shows that this paper's heuristic method to solve the LIRP has never been developed before.From applying the heuristic method in Jakarta, the coordination concept of city logistics reduces the vehicle number by 73%, and the consolidation concept of city logistics increases the availability from 76% to 95%.", "keywords": [ "Context (archaeology)", "Vehicle routing problem", "Routing (electronic design automation)", "Operations research", "City logistics", "Computer science", "Business", "Transport engineering", "Operations management", "Geography", "Engineering", "Computer network" ], "cited_by_openalex": 4, "cited_by_scopus": "5", "eid": "2-s2.0-85129474117", "pii": null, "open_access_url": "https://journal.oscm-forum.org/journal/journal/download/20220520071350_Published_Paper_5_Vol._15_._No_._2,_2022_.pdf", "sources": [ { "db": "openalex", "stream": "TRUCK", "query_id": "TRUCK-2" }, { "db": "scopus", "stream": "TRUCK", "query_id": "TRUCK-2" } ], "streams": [ "TRUCK" ], "relevance_signals": [ "NO_TECHNOLOGY_MATCH" ], "auto_exclude_reason": "EC-4-topic", "screening_status": "auto_excluded", "screened_by": "auto-v1.0.0" }, { "id": "doi:10.1016/j.trpro.2022.02.066", "doi": "10.1016/j.trpro.2022.02.066", "title": "A heuristic for two-echelon urban distribution systems", "year": 2022, "authors": [ "Bruno Oliveira", "Antonio Galrao Ramos", "Jorge Pinho de Sousa" ], "first_author": "Bruno Oliveira", "venue": "Transportation research procedia", "volume": "62", "pages": "533-540", "type": "article", "language": "en", "abstract": "The negative impacts of urban freight transport have fostered the design of new distribution systems for inner city deliveries. One of the proposed city logistics solutions is the establishment of two-echelon distribution systems, where freight originating from the periphery of the city is transferred at intermediate locations (satellites) from larger vehicles (urban freighters) to smaller more environmentally friendly vehicles (city freighters), deemed more suited to operate in the city centre. In this paper, we address a variant of the two-echelon (capacitated) vehicle routing problem (2E-CVRP) arising in the context of city logistics encompassing characteristics such as a heterogeneous fleet of city freighters, time windows, vehicles synchronisation at satellites, direct deliveries, the possibility of freight transfers at customers, and multiple trips by city freighters. We propose a heuristic solution method for this problem based on a Variable Neighbourhood Search (VNS) heuristic, as well as a set of auxiliary evaluation metrics designed to support the decision making process. Preliminary results show the flexibility of the proposed heuristic to account for different problem characteristics, as well as the impacts of considering different best insertion criteria for the initial solution construction. Additionally, the proposed evaluation metrics have allowed for an improved assessment of the trade-offs between different city logistic solutions, and may be considered when developing decision support systems.", "keywords": [ "City logistics", "Vehicle routing problem", "Flexibility (engineering)", "Heuristic", "Context (archaeology)", "TRIPS architecture", "Computer science", "Transport engineering", "Variable (mathematics)", "Process (computing)", "Routing (electronic design automation)", "Operations research" ], "cited_by_openalex": 5, "cited_by_scopus": "5", "eid": "2-s2.0-85127466867", "pii": "S2352146522001934", "open_access_url": "https://www.sciencedirect.com/science/article/pii/S2352146522001934/pdf", "sources": [ { "db": "openalex", "stream": "TRUCK", "query_id": "TRUCK-2" }, { "db": "scopus", "stream": "TRUCK", "query_id": "TRUCK-2" } ], "streams": [ "TRUCK" ], "relevance_signals": [ "NO_TECHNOLOGY_MATCH" ], "auto_exclude_reason": "EC-4-topic", "screening_status": "auto_excluded", "screened_by": "auto-v1.0.0" }, { "id": "doi:10.1177/03611981221130332", "doi": "10.1177/03611981221130332", "title": "Truck and Cross-Docking Scheduling in the Flower Export Sector in Colombia", "year": 2022, "authors": [ "Gonzalo Mejía", "Alfonso Tullio Sarmiento", "William J. Guerrero" ], "first_author": "Gonzalo Mejía", "venue": "Transportation Research Record Journal of the Transportation Research Board", "volume": "2677", "pages": "352-366", "type": "article", "language": "en", "abstract": "The Colombian flower sector accounts for approximately 4% of the country’s total exports. The logistics of flower exports involve urban or peri-urban internal transport to international airports. Trucks with flowers face major problems related to heavy traffic and long queues at the airport parking areas and unloading docks creating congestion and emissions. We study both a queue management system and a scheduling system for trucks, similar to those used in container terminals, with provisions for road traffic for realistic-sized problems. We used real data from our previous studies and from external sources to test our model. The results are discussed and analyzed, taking into consideration the constraints of the actual airport operations and the flower business. The results show that the current operation of the airport cargo terminal can be significantly improved with both queue management and scheduling systems. We finally discuss the implementation of these two systems.", "keywords": [ "Truck", "Queue", "Transport engineering", "Scheduling (production processes)", "International airport", "Traffic congestion", "Business", "Container (type theory)", "Operations research", "Computer science", "Operations management", "Engineering" ], "cited_by_openalex": 7, "cited_by_scopus": "5", "eid": "2-s2.0-85163122148", "pii": null, "open_access_url": "https://hdl.handle.net/10818/58694", "sources": [ { "db": "openalex", "stream": "TRUCK", "query_id": "TRUCK-3" }, { "db": "scopus", "stream": "TRUCK", "query_id": "TRUCK-3" } ], "streams": [ "TRUCK" ], "relevance_signals": [ "TRUCK_NO_CTX" ], "auto_exclude_reason": "EC-4-topic", "screening_status": "auto_excluded", "screened_by": "auto-v1.0.0" }, { "id": "doi:10.4135/9781529780451", "doi": "10.4135/9781529780451", "title": "Last-Mile Drone Delivery: Is Wing's Business Model Sustainable?", "year": 2022, "authors": [ "Jashim Uddin Ahmed", "Quazi Tafsirul Islam", "Samsul Islam", "Asma Ahmed", "Kazi Pushpita Mim" ], "first_author": "Jashim Uddin Ahmed", "venue": null, "volume": null, "pages": null, "type": "reference-entry", "language": "en", "abstract": null, "keywords": [ "Drone", "Mile", "Last mile (transportation)", "Business", "Aeronautics", "Wing", "Computer science", "Engineering", "Geography", "Aerospace engineering", "Biology" ], "cited_by_openalex": 5, "cited_by_scopus": 0, "eid": null, "pii": null, "open_access_url": "https://doi.org/10.4135/9781529780451", "sources": [ { "db": "openalex", "stream": "UAV", "query_id": "UAV-1" } ], "streams": [ "UAV" ], "relevance_signals": [ "UAV" ], "auto_exclude_reason": null, "screening_status": "pending_human_screening", "screened_by": "auto-v1.0.0" }, { "id": "doi:10.1109/icuas54217.2022.9836198", "doi": "10.1109/icuas54217.2022.9836198", "title": "Building Trust with a Mobile Application for Last-Mile Commercial Drone Delivery", "year": 2022, "authors": [ "Jurgen Famula", "Daniel E. Pittman", "Kerstin S. Haring" ], "first_author": "Jurgen Famula", "venue": "2022 International Conference on Unmanned Aircraft Systems (ICUAS)", "volume": null, "pages": "462-467", "type": "conference-paper", "language": "en", "abstract": "A common set of problems faced by commercial delivery companies are to find ways to increase the efficiency and reliability of the \"last mile\" of a package’s journey, all while reducing operating costs. This has driven many companies to start exploring using Unmanned Aerial Vehicles (UAVs), or drones, as a means to get packages to their final destination. While UAVs have a great potential to help increase efficiency in commercial package delivery, this comes at a potential cost of the privacy of people intersecting the flight paths of these unmanned vehicles. This paper explores public user perception of the expected privacy that a mobile phone application for commercial delivery drones could offer, in order to determine what privacy measures should be implemented to engender trust in unmanned delivery platforms. We found that for a commercial drone delivery system to be adopted by the general public, safety and privacy risks remain one of the biggest hurdles for trust and acceptance, and we found evidence that a user-centered mobile application could increase trust in commercial drone flights.", "keywords": [ "Drone", "Mobile phone", "Mile", "Phone", "Reliability (semiconductor)", "Last mile (transportation)", "Computer science", "Delivery Performance", "Computer security", "Order (exchange)", "Internet privacy", "Business" ], "cited_by_openalex": 3, "cited_by_scopus": "5", "eid": "2-s2.0-85136098192", "pii": null, "open_access_url": "https://doi.org/10.1109/icuas54217.2022.9836198", "sources": [ { "db": "openalex", "stream": "UAV", "query_id": "UAV-1" }, { "db": "scopus", "stream": "UAV", "query_id": "UAV-1" } ], "streams": [ "UAV" ], "relevance_signals": [ "UAV" ], "auto_exclude_reason": null, "screening_status": "pending_human_screening", "screened_by": "auto-v1.0.0" }, { "id": "doi:10.2139/ssrn.4211353", "doi": "10.2139/ssrn.4211353", "title": "Parcel Consolidation Approach and Routing Algorithm for Last-Mile Delivery by Unmanned Aerial Vehicles", "year": 2022, "authors": [ "Xiaohui Li", "Pengyu Yan", "Kaize Yu", "Peifan Li" ], "first_author": "Xiaohui Li", "venue": "SSRN Electronic Journal", "volume": null, "pages": null, "type": "preprint", "language": "en", "abstract": null, "keywords": [ "Mile", "Consolidation (business)", "Last mile (transportation)", "Computer science", "Routing algorithm", "Vehicle routing problem", "Aeronautics", "Real-time computing", "Routing (electronic design automation)", "Engineering", "Transport engineering", "Computer network" ], "cited_by_openalex": 5, "cited_by_scopus": 0, "eid": null, "pii": null, "open_access_url": "https://doi.org/10.2139/ssrn.4211353", "sources": [ { "db": "openalex", "stream": "UAV", "query_id": "UAV-1" } ], "streams": [ "UAV" ], "relevance_signals": [ "UAV" ], "auto_exclude_reason": null, "screening_status": "pending_human_screening", "screened_by": "auto-v1.0.0" }, { "id": "doi:10.1109/itsc55140.2022.9922133", "doi": "10.1109/itsc55140.2022.9922133", "title": "Dynamic Resource Management for Providing QoS in Drone Delivery Systems", "year": 2022, "authors": [ "Behzad Khamidehi", "Majid Raeis", "Elvino Silveira Sousa" ], "first_author": "Behzad Khamidehi", "venue": "2022 IEEE 25th International Conference on Intelligent Transportation Systems (ITSC)", "volume": "2022-October", "pages": "3529-3536", "type": "conference-paper", "language": "en", "abstract": "Drones have been considered as an alternative means of package delivery to reduce the delivery cost and time. Due to the battery limitations, the drones are best suited for last-mile delivery, i.e., the delivery from the package distribution centers (PDCs) to the customers. Since a typical delivery system consists of multiple PDCs, each having random and time-varying demands, the dynamic drone-to-PDC allocation would be of great importance in meeting the demand in an efficient manner. In this paper, we study the dynamic drone assignment problem for a drone delivery system with the goal of providing measurable Quality of Service (QoS) guarantees. We adopt a queueing theoretic approach to model the customer-service nature of the problem. Furthermore, we take a deep reinforcement learning approach to obtain a dynamic policy for the re-allocation of the drones. This policy guarantees a probabilistic upper-bound on the queue length of the packages waiting in each PDC, which is beneficial from both the service provider's and the customers' viewpoints. We evaluate the performance of our proposed algorithm by considering three broad arrival classes, including Bernoulli, Time-Varying Bernoulli, and Markov-Modulated Bernoulli arrivals. Our results show that the proposed method outperforms the baselines, particularly in scenarios with Time-Varying and Markov-Modulated Bernoulli arrivals, which are more representative of real-world demand patterns. Moreover, our algorithm satisfies the QoS constraints in all the studied scenarios while minimizing the average number of drones in use.", "keywords": [ "Drone", "Computer science", "Quality of service", "Bernoulli's principle", "Markov decision process", "Queueing theory", "Markov process", "Dynamic Bayesian network", "Resource allocation", "Mathematical optimization", "Distributed computing", "Queue" ], "cited_by_openalex": 8, "cited_by_scopus": "5", "eid": "2-s2.0-85141844660", "pii": null, "open_access_url": "https://doi.org/10.1109/itsc55140.2022.9922133", "sources": [ { "db": "openalex", "stream": "UAV", "query_id": "UAV-1" }, { "db": "scopus", "stream": "UAV", "query_id": "UAV-1" } ], "streams": [ "UAV" ], "relevance_signals": [ "UAV" ], "auto_exclude_reason": null, "screening_status": "pending_human_screening", "screened_by": "auto-v1.0.0" }, { "id": "doi:10.1541/ieejeiss.142.499", "doi": "10.1541/ieejeiss.142.499", "title": "Drone Delivery Scheduling by a Genetic Algorithm: Simultaneous Optimization for Multiple Different Numbers of Drones", "year": 2022, "authors": [ "Yohei Hazama", "Hitoshi Iima", "Yoshiyuki Karuno" ], "first_author": "Yohei Hazama", "venue": "IEEJ Transactions on Electronics Information and Systems", "volume": "142", "pages": "499-505", "type": "article", "language": "en", "abstract": "Drones, or unmanned aerial vehicles (UAVs), have the potential to considerably reduce the cost and time required to deliver parcels. This paper addresses a parcel delivery scheduling problem, which is to find the optimal assignment of customers to the drones and their takeoff points. In this problem, depending on the number of the drones, the optimal solution changes. We propose a genetic algorithm to find near-optimal solutions simultaneously for multiple different numbers of the drones. The performance of the proposed method is evaluated through conducting experiments.", "keywords": [ "Drone", "Takeoff", "Scheduling (production processes)", "Computer science", "Genetic algorithm", "Mathematical optimization", "Job shop scheduling", "Real-time computing", "Engineering", "Mathematics", "Aerospace engineering", "Computer network" ], "cited_by_openalex": 3, "cited_by_scopus": "5", "eid": "2-s2.0-85136888411", "pii": null, "open_access_url": "https://doi.org/10.1541/ieejeiss.142.499", "sources": [ { "db": "openalex", "stream": "UAV", "query_id": "UAV-1" }, { "db": "scopus", "stream": "UAV", "query_id": "UAV-1" } ], "streams": [ "UAV" ], "relevance_signals": [ "UAV" ], "auto_exclude_reason": null, "screening_status": "pending_human_screening", "screened_by": "auto-v1.0.0" }, { "id": "doi:10.1007/978-3-030-96935-6_27", "doi": "10.1007/978-3-030-96935-6_27", "title": "Drones and Delivery Robots: Models and Applications to Last Mile Delivery", "year": 2022, "authors": [ "Cheng Chen", "Emrah Demir" ], "first_author": "Cheng Chen", "venue": "Palgrave Handbook of Operations Research", "volume": null, "pages": "859-882", "type": "book-chapter", "language": "en", "abstract": null, "keywords": [ "Last mile (transportation)", "Drone", "Vehicle routing problem", "Robot", "Mile", "Routing (electronic design automation)", "Transport engineering", "Value proposition", "Engineering", "Computer science", "Business", "Marketing" ], "cited_by_openalex": 1, "cited_by_scopus": "5", "eid": "2-s2.0-85159087831", "pii": null, "open_access_url": "https://doi.org/10.1007/978-3-030-96935-6_27", "sources": [ { "db": "openalex", "stream": "UAV", "query_id": "UAV-1" }, { "db": "openalex", "stream": "UAV", "query_id": "UAV-2" }, { "db": "scopus", "stream": "UAV", "query_id": "UAV-1" }, { "db": "scopus", "stream": "UAV", "query_id": "UAV-2" } ], "streams": [ "UAV" ], "relevance_signals": [ "UAV" ], "auto_exclude_reason": null, "screening_status": "pending_human_screening", "screened_by": "auto-v1.0.0" }, { "id": "doi:10.26552/tac.c.2022.2.3", "doi": "10.26552/tac.c.2022.2.3", "title": "Last Mile and its Latest Changes in Express, Courier and Postal Services Bound to E-commerce", "year": 2022, "authors": [ "Dominika Koncová", "Iveta Kremeňová", "Juraj Fabuš" ], "first_author": "Dominika Koncová", "venue": "Transport and Communications", "volume": null, "pages": null, "type": "article", "language": "en", "abstract": "Last mile delivery is influenced by both technology as well as customer requirements and their preferences. Recently, technologies such as drones, automated guided vehicles (AGVs) or robots have come to the fore to deliver parcels to their addressees or authorised recipients, instead of delivering them solely by couriers or into letters or parcel lockers. It cannot be argued that delivery by courier or to letter or parcel lockers is unattractive, but, in terms of innovation, it is already possible to regard these forms of delivery as a standard that has been in practice for some time. It is therefore necessary to discuss technologies that have both automated elements and sensors or a certain degree of implemented intelligence. Drones and AGVs are just such devices. Thus, this paper is devoted to comparing the advantages and disadvantages of using drones and AGVs.", "keywords": [ "Drone", "Last mile (transportation)", "Mile", "Computer science", "Robot", "Artificial intelligence", "Geography" ], "cited_by_openalex": 5, "cited_by_scopus": 0, "eid": null, "pii": null, "open_access_url": "http://tac.uniza.sk/doi/10.26552/tac.C.2022.2.3.pdf", "sources": [ { "db": "openalex", "stream": "UAV", "query_id": "UAV-1" } ], "streams": [ "UAV" ], "relevance_signals": [ "UAV" ], "auto_exclude_reason": null, "screening_status": "pending_human_screening", "screened_by": "auto-v1.0.0" }, { "id": "doi:10.1108/aeat-07-2020-0138", "doi": "10.1108/aeat-07-2020-0138", "title": "Drone-based delivery: a concurrent heuristic approach using a genetic algorithm", "year": 2022, "authors": [ "Khin Thida San", "Yoon‐Seok Chang" ], "first_author": "Khin Thida San", "venue": "Aircraft Engineering and Aerospace Technology", "volume": "94", "pages": "1312-1326", "type": "article", "language": "en", "abstract": "Purpose The purpose of this study is to solve NP-Hard drone routing problem for the last-mile distribution. This is suitable for the multi-drones parcel delivery for the various items from a warehouse to many locations. Design/methodology/approach This study conducts as a mission assignment of the single location per flight with the constraint satisfactions such as various payloads in weight, drone speeds, flight times and coverage distances. A genetic algorithm is modified as the concurrent heuristics approach (GCH), which has the knapsack problem dealing initialization, gene elitism (crossover) and gene replacement (mutation). Those proposed operators can reduce the execution time consuming and enhance the routing assignment of multiple drones. The evaluation value of the routing assignment can be calculated from the chromosome/individual representation by applying the proposed concurrent fitness. Findings This study optimizes the total traveling time to accomplish the distribution. GCH is flexible and can provide a result according to the first-come-first-served, demanded weight or distance priority. Originality/value GCH is an alternative option, which differs from conventional vehicle routing researches. Such researches (traveling time optimization) attempt to minimize the total traveling time, distance or the number of vehicles by assuming all vehicles have the same traveling speed; therefore, a specific vehicle assignment to a location is neglected. Moreover, the main drawback is those concepts can lead the repeated selection of best quality vehicles concerning the speed without considering the vehicle fleet size and coverage distance while this study defines the various speeds for the vehicles. Unlike those, the concurrent concept ensures a faster delivery accomplishment by sharing the work load with all participant vehicles concerning to their different capabilities. If the concurrent assignment is applied to the drone delivery effectively, the entire delivery can be accomplished relatively faster than the traveling time optimization.", "keywords": [ "Knapsack problem", "Vehicle routing problem", "Drone", "Heuristic", "Computer science", "Mathematical optimization", "Genetic algorithm", "Routing (electronic design automation)", "Crossover", "Heuristics", "Initialization", "Algorithm" ], "cited_by_openalex": 6, "cited_by_scopus": "5", "eid": "2-s2.0-85127412208", "pii": null, "open_access_url": "https://doi.org/10.1108/aeat-07-2020-0138", "sources": [ { "db": "openalex", "stream": "UAV", "query_id": "UAV-1" }, { "db": "openalex", "stream": "UAV", "query_id": "UAV-2" }, { "db": "openalex", "stream": "UAV", "query_id": "UAV-3" }, { "db": "scopus", "stream": "UAV", "query_id": "UAV-1" }, { "db": "scopus", "stream": "UAV", "query_id": "UAV-2" }, { "db": "scopus", "stream": "UAV", "query_id": "UAV-3" } ], "streams": [ "UAV" ], "relevance_signals": [ "UAV" ], "auto_exclude_reason": null, "screening_status": "pending_human_screening", "screened_by": "auto-v1.0.0" }, { "id": "doi:10.1109/icns54818.2022.9771497", "doi": "10.1109/icns54818.2022.9771497", "title": "Initial Reliability Assessment of a Commercial-Off-The-Shelf GPS Sensor for Generic UAVs", "year": 2022, "authors": [ "T. Thanaraj", "Kailun Tan", "Chung Hung J. Wang", "Ee Meng Ng", "Kin Huat Low" ], "first_author": "T. Thanaraj", "venue": "Integrated Communications Navigation and Surveillance Conference Icns", "volume": "2022-April", "pages": null, "type": "conference-paper", "language": "en", "abstract": "Unmanned aerial vehicles (UAVs) have gathered much attention commercially in recent times owing to the advancement in technology, such as the introduction of brushless-DC motors and micro-electromechanical systems (MEMS). As a result, these UAVs can undertake complex missions and pose potential benefits to a multitude of use cases, for instance, last-mile cargo delivery, infrastructure inspection, and even search-and-rescue missions. With the increase in the adoption of UAVs and the abundance of commercial-off-the-shelf (COTS) components, the airworthiness of the UAVs grows to be of concern as the assessment criteria for them are not as stringent as that of manned aircraft, largely due to the absence of an onboard pilot or passengers. In addition, UAVs with COTS components lack data to provide assurance of their reliability and determine if the UAVs are fit to fly. On-board navigational sensors are one of the critical subsystems in a UAV and any deterioration in the performance of these sensors can precipitate into a UAV system failure during flight missions, potentially leading to a crash. As such, the reliability of these sensors has to be ascertained before any flight mission to ensure their airworthiness. In this paper, we will assess a COTS GPS sensor that has been commonly used in self-assembled UAVs and predict its reliability based on the characteristics of the Surface Mounted Devices (SMD) and Integrated Circuits (IC) using MIL-HDBK-217F. Results from this assessment will provide a preliminary representation of the reliability of a typical COTS GPS sensor for the determination of its suitability for its intended operation.", "keywords": [ "Airworthiness", "Global Positioning System", "Reliability (semiconductor)", "Computer science", "Reliability engineering", "Crash", "Commercial off-the-shelf", "Systems engineering", "Aeronautics", "Engineering", "Embedded system", "Real-time computing" ], "cited_by_openalex": 4, "cited_by_scopus": "5", "eid": "2-s2.0-85130715216", "pii": null, "open_access_url": "https://dr.ntu.edu.sg/bitstream/10356/160572/2/ICNS%202022_ThanarajT_KLTan_CHJWang_EMNg_KHLow_v2.pdf", "sources": [ { "db": "openalex", "stream": "UAV", "query_id": "UAV-1" }, { "db": "scopus", "stream": "UAV", "query_id": "UAV-1" } ], "streams": [ "UAV" ], "relevance_signals": [ "UAV" ], "auto_exclude_reason": null, "screening_status": "pending_human_screening", "screened_by": "auto-v1.0.0" }, { "id": "doi:10.1109/ccis57298.2022.10016378", "doi": "10.1109/ccis57298.2022.10016378", "title": "Edge4FR: A Novel Device-Edge Collaborative Framework for Facial Recognition in Smart UAV Delivery Systems", "year": 2022, "authors": [ "Yi Xu", "Fengguang Luan", "Xiao Liu", "Xuejun Li" ], "first_author": "Yi Xu", "venue": "2022 IEEE 8th International Conference on Cloud Computing and Intelligent Systems (CCIS)", "volume": null, "pages": "95-101", "type": "conference-paper", "language": "en", "abstract": "In recent years, smart UAV (unmanned aerial vehicle) delivery has become a promising solution to solve the last-mile delivery problem in smart logistics. In a smart UAV delivery system, the accurate identification of the goods receiver is a critical task. At present, using smart lockers with quick response (QR) codes is one of the most widely used solutions. However, this solution is very expensive and limited by the space available to deploy smart lockers. In contrast, using facial recognition technology for identification is a promising solution which does not need any extra equipment besides the UAV itself. However, due to the instability and the unusual shooting angle of the UAV from the air, existing facial recognition technologies often suffer the issue of low accuracy in practice. Therefore, to improve the accuracy of UAV based facial recognition, we propose Edge4FR, a Device-Edge Collaborative Framework based on face frontalization and facial recognition. Specifically, first, the facial detection algorithm based on deep learning deployed in the UAV can detect facial images frame by frame, and extract detected faces and transmit them to the nearby edge server. Afterwards, the face frontalization model trained by the generative adversarial network (GAN) deployed in the edge server can frontalize facial images. Finally, the facial recognition algorithm based on deep learning deployed in the edge server can confirm the identity by checking if the frontal facial image matches the goods receiver’s facial image registered in the delivery system. Experimental results in a real-world smart UAV delivery system demonstrate the effectiveness of the proposed framework.", "keywords": [ "Computer science", "Facial recognition system", "Artificial intelligence", "Computer vision", "Enhanced Data Rates for GSM Evolution", "Frame (networking)", "Identification (biology)", "Feature extraction", "Telecommunications" ], "cited_by_openalex": 5, "cited_by_scopus": "5", "eid": "2-s2.0-85147668173", "pii": null, "open_access_url": "https://figshare.com/articles/conference_contribution/Edge4FR_A_Novel_Device-Edge_Collaborative_Framework_for_Facial_Recognition_in_Smart_UAV_Delivery_Systems/22197559", "sources": [ { "db": "openalex", "stream": "UAV", "query_id": "UAV-1" }, { "db": "scopus", "stream": "UAV", "query_id": "UAV-1" } ], "streams": [ "UAV" ], "relevance_signals": [ "UAV" ], "auto_exclude_reason": null, "screening_status": "pending_human_screening", "screened_by": "auto-v1.0.0" }, { "id": "doi:10.1109/iwcmc55113.2022.9824768", "doi": "10.1109/iwcmc55113.2022.9824768", "title": "WPT-enabled UAV Trajectory Design for Healthcare Delivery Using Reinforcement Learning", "year": 2022, "authors": [ "Adel Merabet", "Abderrahmane Lakas", "Abdelkader Nasreddine Belkacem" ], "first_author": "Adel Merabet", "venue": "2022 International Wireless Communications and Mobile Computing (IWCMC)", "volume": null, "pages": "271-277", "type": "conference-paper", "language": "en", "abstract": "Over the last few years, the use of unmanned aerial vehicles (UAVs) has grown, with the goal of being widely deployed in sectors such as deliveries, rescue operations, mining fields, patrolling, and monitoring. However, the limitations of the onboard battery capacity and the flying range pose a problem to most applications while performing daily tasks such as parcel delivery or aerial communications in large areas. This paper proposes a reinforcement learning method to compute optimal trajectories for a UAV, considering both visiting delivery locations and recharging stations. The use of wireless power transfer (WPT) technology allows UAV s to wirelessly recharge their batteries on the fly and therefore to extend their flying range further. In this scenario, we consider several WPT-enabled charging stations placed around the serviced area. The proposed approach leverages a reinforcement learning strategy, and the performance results obtained show its effectiveness in finding an optimal trajectory by minimizing the UAV's travel and service time.", "keywords": [ "Reinforcement learning", "Patrolling", "Trajectory", "Computer science", "Wireless", "Range (aeronautics)", "Real-time computing", "Wireless power transfer", "Simulation", "Artificial intelligence", "Engineering", "Telecommunications" ], "cited_by_openalex": 4, "cited_by_scopus": "5", "eid": "2-s2.0-85135292797", "pii": null, "open_access_url": "https://doi.org/10.1109/iwcmc55113.2022.9824768", "sources": [ { "db": "openalex", "stream": "UAV", "query_id": "UAV-1" }, { "db": "scopus", "stream": "UAV", "query_id": "UAV-1" } ], "streams": [ "UAV" ], "relevance_signals": [ "UAV" ], "auto_exclude_reason": null, "screening_status": "pending_human_screening", "screened_by": "auto-v1.0.0" }, { "id": "doi:10.1109/ccnc49033.2022.9700681", "doi": "10.1109/ccnc49033.2022.9700681", "title": "Multi-Operator Intelligent UAV Delivery Networks in Beyond Visual Line of Sight Operations", "year": 2022, "authors": [ "Anindo Mahmood", "Kevin Ramirez Reynoso", "Mostafizur Rahman", "Sheikh Ariful Islam" ], "first_author": "Anindo Mahmood", "venue": "Proceedings IEEE Consumer Communications and Networking Conference Ccnc", "volume": null, "pages": "965-966", "type": "conference-paper", "language": "en", "abstract": "Unmanned Aerial Vehicle (UAV) based delivery networks have emerged as a promising mode of parcel delivery owing to their efficient and cost-effective operations. In this paper, we propose a novel techno-economic framework to facilitate multi-operator UAV delivery networks in Beyond Visual Line of Sight (BVLoS) communications. The proposed model aims at partitioning a large delivery zone into several small cells, each receiving separate licensing to carry out UAV operations. A controlling entity called UAV Traffic Controller (UTC) governs each cell and manages all UAV movements within the cell while adhering to the Federal Aviation Authority’s regulations. A UTC also authenticates all UAVs running within its airspace and secures delivery service providers’ and customers’ privacy.", "keywords": [ "Computer science", "Aviation", "Sight", "Operator (biology)", "Air traffic control", "Controller (irrigation)", "Drone", "Service (business)", "Computer security", "Computer network", "Engineering", "Aerospace engineering" ], "cited_by_openalex": 4, "cited_by_scopus": "5", "eid": "2-s2.0-85135732629", "pii": null, "open_access_url": "https://doi.org/10.1109/ccnc49033.2022.9700681", "sources": [ { "db": "openalex", "stream": "UAV", "query_id": "UAV-1" }, { "db": "scopus", "stream": "UAV", "query_id": "UAV-1" } ], "streams": [ "UAV" ], "relevance_signals": [ "UAV" ], "auto_exclude_reason": null, "screening_status": "pending_human_screening", "screened_by": "auto-v1.0.0" }, { "id": "doi:10.2514/6.2022-2741", "doi": "10.2514/6.2022-2741", "title": "EGRES: An Emergency Guided Recovery System for Unmanned Aerial Systems", "year": 2022, "authors": [ "Jacob Wachlin", "Michael Ward", "Benjamin L. Leon", "Mark Costello", "Andrew Leonard", "Jonathan Rogers" ], "first_author": "Jacob Wachlin", "venue": "26th AIAA Aerodynamic Decelerator Systems Technology Conference and Seminar Adstcs 2022", "volume": null, "pages": null, "type": "conference-paper", "language": "en", "abstract": "The private eVTOL/UAM market is rapidly expanding, with many companies and investors betting on the possibility of low-cost-to-operate and zero emissions air taxis and last-mile-delivery sUAS dominating the skies of cities in the near future. While fixed wing and rotary wing aircraft regularly operate over populated areas, the envisioned orders-of-magnitude increase in air traffic increases the risk to those on the ground and in the air. The risk calculus is also altered by the novel designs of some eVTOL aircraft. Many designs have neither significant autorotation nor low-speed-gliding capability to land safely in the event of catastrophic power failure. Ballistic parachute systems (ballistic recovery systems), such as those found in increasing use on general aviation aircraft and small UAS (drones) provide some risk mitigation, but provide no control over the landing location; the aircraft will land wherever the wind blows it. Aviation safety experts have noted that while ballistic recovery systems improve safety and should be included on all UAM aircraft, there are still hazards from a vehicle descending uncontrolled under a parachute. This paper covers the analysis and design of a guided emergency recovery system, which uses bleed-air control and a gliding steerable parachute. The analysis shows that due to the use of a parachute which provides lift, rather than a pure drag device, and the use of lightweight bleed-air control, the overall weight of a guided recovery system can be lower than an equivalent ballistic recovery system. A key feature for an effective guided recovery system is selection of its landing point. The development of a massively parallel probabilistic evaluation method for selecting landing points which provide the best likelihood of avoiding hazards is shown with examples. Simulations of EGRES in New York City Urban Air Mobility, UAS interstate highway inspection, and UAS nuclear power plant inspection scenarios showed that EGRES increased the likelihood of landing in an acceptable area by 2.3, 1.8, and 2.9 times respectively, compared with a ballistic parachute recovery system. Finally, a preliminary design for a Group 2 UAS is presented, along with size and weight estimates.", "keywords": [ "Aeronautics", "Fail-safe", "Aviation", "Separation (statistics)", "Aerospace engineering", "Situation awareness", "Drone", "Automotive engineering", "Air traffic control", "Elevator", "Engineering", "Computer science" ], "cited_by_openalex": 2, "cited_by_scopus": "5", "eid": "2-s2.0-85132557005", "pii": null, "open_access_url": "https://doi.org/10.2514/6.2022-2741", "sources": [ { "db": "openalex", "stream": "UAV", "query_id": "UAV-1" }, { "db": "scopus", "stream": "UAV", "query_id": "UAV-1" } ], "streams": [ "UAV" ], "relevance_signals": [ "UAV" ], "auto_exclude_reason": null, "screening_status": "pending_human_screening", "screened_by": "auto-v1.0.0" }, { "id": "doi:10.3390/s22166077", "doi": "10.3390/s22166077", "title": "Asymmetric Arc Routing by Coordinating a Truck and Multiple Drones", "year": 2022, "authors": [ "Shuangxi Tian", "Honghui Chen", "Guohua Wu", "Jiaqi Cheng" ], "first_author": "Shuangxi Tian", "venue": "Sensors", "volume": "22", "pages": null, "type": "article", "language": "en", "abstract": "Unmanned Aerial Vehicles, commonly known as drones, have been widely used in transmission line inspection and traffic patrolling due to their flexibility and environmental adaptability. To take advantage of drones and overcome their limited endurance, the patrolling tasks are parallelized by concurrently dispatching the drones from a truck which travels on the road network to the nearby task arc. The road network considered in previous research is undirected; however, in reality, the road network usually contains unidirectional arcs, i.e., the road network is asymmetric. Hence, we propose an asymmetric coordinated vehicle-drones arc routing mode for traffic patrolling. In this mode, a truck travelling on an asymmetric road network with multiple drones needs to patrol multiple task arcs, and the drones can be launched and recovered at certain nodes on the truck route, making it possible for drones and the truck to patrol the task in parallel. The total patrol time is the objective function that needs to be minimized given the time limit constraints of drones. The whole problem can be considered as an asymmetric arc routing problem of coordinating a truck and multiple drones. To solve this problem, a large-scale neighborhood search with simulated annealing algorithm (LNS-SA) is proposed. Finally, extensive computation experiments and a real case are carried out. The experimental results show the efficiency of the proposed algorithm. Moreover, a detailed sensitivity analysis is performed on several drone-parameters of interest.", "keywords": [ "Drone", "Patrolling", "Computer science", "Truck", "Routing (electronic design automation)", "Task (project management)", "Flexibility (engineering)", "Real-time computing", "Computer network", "Engineering", "Aerospace engineering", "Geography" ], "cited_by_openalex": 6, "cited_by_scopus": "5", "eid": "2-s2.0-85136720037", "pii": null, "open_access_url": "https://www.mdpi.com/1424-8220/22/16/6077/pdf?version=1660478365", "sources": [ { "db": "openalex", "stream": "UAV", "query_id": "UAV-2" }, { "db": "scopus", "stream": "UAV", "query_id": "UAV-2" } ], "streams": [ "UAV" ], "relevance_signals": [ "UAV_NO_CTX", "TRUCK_NO_CTX" ], "auto_exclude_reason": "EC-4-topic", "screening_status": "auto_excluded", "screened_by": "auto-v1.0.0" }, { "id": "doi:10.3390/su142013459", "doi": "10.3390/su142013459", "title": "Design and Assessment of an Urban Circular Combined Truck–Drone Delivery System Using Continuum Approximation Models and Integer Programming", "year": 2022, "authors": [ "David Canca", "Belén Navarro-Carmona", "José Luis Andrade-Pineda" ], "first_author": "David Canca", "venue": "Sustainability", "volume": "14", "pages": null, "type": "article", "language": "en", "abstract": "The analysis of tandem truck–drone delivery systems has recently attracted the attention of the research community, mainly focused on extending classical operational research problems such as the multiple traveling salesperson or the vehicle-routing problem. In this paper, we explore the design of an urban massive combined delivery system using a continuum approximation (CA) method for a circular city characterized by a certain density of customers. Starting from a set of parameters defining the main characteristics of trucks and drones, a sectorization of the delivery area is first determined. Then, for a given truck capacity, the optimal number of trucks is obtained considering different scenarios using three integer programming models. We propose several performance indicators to compare the tandem approach with the alternative solely truck delivery system.", "keywords": [ "Truck", "Drone", "Integer programming", "Routing (electronic design automation)", "Computer science", "Mathematical optimization", "Vehicle routing problem", "Integer (computer science)", "Set (abstract data type)", "Delivery system", "Simulation", "Transport engineering" ], "cited_by_openalex": 5, "cited_by_scopus": "5", "eid": "2-s2.0-85140833130", "pii": null, "open_access_url": "https://www.mdpi.com/2071-1050/14/20/13459/pdf?version=1666606217", "sources": [ { "db": "openalex", "stream": "UAV", "query_id": "UAV-2" }, { "db": "scopus", "stream": "TRUCK", "query_id": "TRUCK-1" }, { "db": "scopus", "stream": "UAV", "query_id": "UAV-1" }, { "db": "scopus", "stream": "UAV", "query_id": "UAV-2" } ], "streams": [ "TRUCK", "UAV" ], "relevance_signals": [ "UAV_NO_CTX", "TRUCK_NO_CTX" ], "auto_exclude_reason": "EC-4-topic", "screening_status": "auto_excluded", "screened_by": "auto-v1.0.0" }, { "id": "doi:10.21447/jusre.2022.13.2.119", "doi": "10.21447/jusre.2022.13.2.119", "title": "A Study on the Factors affecting UAM Vertiport Location Selection", "year": 2022, "authors": [ "Wonjin Kim", "Jae-Hong Park" ], "first_author": "Wonjin Kim", "venue": "The Korean Association of Urban Policies", "volume": null, "pages": null, "type": "article", "language": "en", "abstract": "UAM vertiport may have a problem constructing on an unnecessary area if the location selection criteria are not prepared at an early stage. Therefore, it is necessary to conduct a basic study on the factors affecting the proper location selection of vertiport in preparation for the commercialization of urban air traffic system. This study derived the main variables affecting UAM demand. This study presents the evaluation index when constructing the UAM transfer system in the future, and it is important to quantitatively calculate the weights of each influential factor. The first variable was summarized by examining previous studies related to the location and transfer of UAM vertiport. FGI was conducted for experts in each related field, and the final factors were selected and stratified. To calculate the importance of the factors, a survey was conducted for 15 experts and weights were calculated by AHP. As a result of the analysis, it is necessary to first review the installation of UAM vertiport in urban infrastructure for better railway route linkage. Also, areas that can activate urban space should be considered in priority for the installation of vertiports rather than traffic congestion areas. In terms of social acceptability, it is necessary to review the areas where noise and user safety can be considered at the same time.", "keywords": [ "Selection (genetic algorithm)", "Computer science", "Analytic hierarchy process", "Transport engineering", "Variable (mathematics)", "Linkage (software)", "Operations research", "Traffic congestion", "Site selection", "Field (mathematics)", "Engineering", "Mathematics" ], "cited_by_openalex": 5, "cited_by_scopus": 0, "eid": null, "pii": null, "open_access_url": "https://doi.org/10.21447/jusre.2022.13.2.119", "sources": [ { "db": "openalex", "stream": "UAV", "query_id": "UAV-3" } ], "streams": [ "UAV" ], "relevance_signals": [ "UAV_NO_CTX" ], "auto_exclude_reason": "EC-4-topic", "screening_status": "auto_excluded", "screened_by": "auto-v1.0.0" }, { "id": "doi:10.1016/j.ifacol.2022.07.277", "doi": "10.1016/j.ifacol.2022.07.277", "title": "Safety Verification for Urban Air Mobility Scheduling", "year": 2022, "authors": [ "Qinshuang Wei", "Gustav Nilsson", "Samuel Coogan" ], "first_author": "Qinshuang Wei", "venue": "IFAC-PapersOnLine", "volume": "55", "pages": "306-311", "type": "article", "language": "en", "abstract": "In Urban Air Mobility (UAM) networks, takeoff and landing sites, called vertiports, are likely to experience intermittent closures due to, e.g., adverse weather. For safety, it will be required that all in-transit Urban Air Vehicles (UAVs) in a UAM network have alternative landing sites in the event of a vertiport closure. In this paper, we propose analytical conditions for developing an efficient algorithm that, given a proposed UAM schedule, verifies whether all UAVs are able to safely reach a back-up landing site in the event of a vertiport closure without violating the limited landing capacity of each vertiport in the network. If safety verification is not possible, the algorithm returns a counterexample demonstrating the violation. Our solution allows for uncertain travel time between UAM vertiports and scales quadratically with the number of scheduled UAVs. We demonstrate our algorithm on a UAM network with up to 1,000 UAVs.", "keywords": [ "Takeoff", "Counterexample", "Computer science", "Takeoff and landing", "Event (particle physics)", "Schedule", "Scheduling (production processes)", "Real-time computing", "Closure (psychology)", "Mathematical optimization", "Engineering", "Mathematics" ], "cited_by_openalex": 5, "cited_by_scopus": "5", "eid": "2-s2.0-85137165055", "pii": "S2405896322006681", "open_access_url": "https://doi.org/10.1016/j.ifacol.2022.07.277", "sources": [ { "db": "openalex", "stream": "UAV", "query_id": "UAV-3" }, { "db": "scopus", "stream": "UAV", "query_id": "UAV-3" } ], "streams": [ "UAV" ], "relevance_signals": [ "UAV_NO_CTX" ], "auto_exclude_reason": "EC-4-topic", "screening_status": "auto_excluded", "screened_by": "auto-v1.0.0" }, { "id": "doi:10.1109/dessert58054.2022.10018697", "doi": "10.1109/dessert58054.2022.10018697", "title": "Organization of a safe and efficient system of air transportation in and around an urban area using Unmanned Arial Vehicles", "year": 2022, "authors": [ "Тетяна Федорівна Шмельова", "Yury N. Kovalyov", "Dmytro Kucherov", "Victor D. Stovba" ], "first_author": "Тетяна Федорівна Шмельова", "venue": "Proceedings of the 2022 IEEE 12th International Conference on Dependable Systems Services and Technologies Dessert 2022", "volume": null, "pages": null, "type": "conference-paper", "language": "en", "abstract": "The paper focuses on performing safe, coordinated, and effectively integrated flights in and around an urban area using Unmanned Arial Vehicles (UAV). The tasks are considered: the choice of territory for UAV flights; analysis, evaluation of terrain, and obstructions, drawing up a map indicating the risks of passing obstructions; GRID analysis of the selected fragment of territory; risk assessment according to the type of zone from “Restricted area” to “Dangerous area” obtained;finding the routes of the minimum risk and maximum safety using the method of dynamic programming. The algorithms by the UAV operators in an emergency and selecting optimal landing aerodrome/place/vertiport using decision-making methods in uncertainty are presented. Examples of finding safe routes for UAV flights are presented: monitoring and overflight of power lines, delivery of medical supplies, and decision-making models in emergencies: flights in bad weather conditions and loss of communication with UAV.", "keywords": [ "Terrain", "Computer science", "Grid", "Route planning", "Real-time computing", "Transport engineering", "Environmental science", "Operations research", "Geography", "Engineering", "Cartography" ], "cited_by_openalex": 4, "cited_by_scopus": "5", "eid": "2-s2.0-85147843663", "pii": null, "open_access_url": "https://doi.org/10.1109/dessert58054.2022.10018697", "sources": [ { "db": "openalex", "stream": "UAV", "query_id": "UAV-3" }, { "db": "scopus", "stream": "UAV", "query_id": "UAV-3" } ], "streams": [ "UAV" ], "relevance_signals": [ "UAV_NO_CTX" ], "auto_exclude_reason": "EC-4-topic", "screening_status": "auto_excluded", "screened_by": "auto-v1.0.0" }, { "id": "doi:10.20858/tp.2022.17.2.15", "doi": "10.20858/tp.2022.17.2.15", "title": "DEVELOPMENT OF AN ELECTRIC TRICYCLE FOR SERVICE COMPANIES AND LAST-MILE PARCEL DELIVERY", "year": 2022, "authors": [ "D’Hondt J." ], "first_author": "D’Hondt J.", "venue": "Transport Problems", "volume": "17", "pages": "175-187", "type": "Article", "language": null, "abstract": null, "keywords": [], "cited_by_openalex": 0, "cited_by_scopus": "5", "eid": "2-s2.0-85135734829", "pii": null, "open_access_url": null, "sources": [ { "db": "scopus", "stream": "TRUCK", "query_id": "TRUCK-1" } ], "streams": [ "TRUCK" ], "relevance_signals": [ "NO_TECHNOLOGY_MATCH" ], "auto_exclude_reason": "EC-4-topic", "screening_status": "auto_excluded", "screened_by": "auto-v1.0.0" }, { "id": "title:the competition and inefficiency in urban road last mile delivery", "doi": null, "title": "The Competition and Inefficiency in Urban Road Last-Mile Delivery", "year": 2022, "authors": [ "Zhang K." ], "first_author": "Zhang K.", "venue": "Proceedings of the International Joint Conference on Autonomous Agents and Multiagent Systems Aamas", "volume": "3", "pages": "1473-1481", "type": "Conference Paper", "language": null, "abstract": null, "keywords": [], "cited_by_openalex": 0, "cited_by_scopus": "5", "eid": "2-s2.0-85134319814", "pii": null, "open_access_url": null, "sources": [ { "db": "scopus", "stream": "TRUCK", "query_id": "TRUCK-2" } ], "streams": [ "TRUCK" ], "relevance_signals": [ "NO_TECHNOLOGY_MATCH" ], "auto_exclude_reason": "EC-4-topic", "screening_status": "auto_excluded", "screened_by": "auto-v1.0.0" }, { "id": "doi:10.1051/ro/2022036", "doi": "10.1051/ro/2022036", "title": "UAVs routes optimization on smart cities and regions", "year": 2022, "authors": [ "Marques E.L." ], "first_author": "Marques E.L.", "venue": "RAIRO Operations Research", "volume": "56", "pages": "853-869", "type": "Article", "language": null, "abstract": null, "keywords": [], "cited_by_openalex": 0, "cited_by_scopus": "5", "eid": "2-s2.0-85128874083", "pii": null, "open_access_url": null, "sources": [ { "db": "scopus", "stream": "UAV", "query_id": "UAV-2" } ], "streams": [ "UAV" ], "relevance_signals": [ "UAV_NO_CTX" ], "auto_exclude_reason": "EC-4-topic", "screening_status": "auto_excluded", "screened_by": "auto-v1.0.0" }, { "id": "doi:10.19678/j.issn.1000-3428.0062260", "doi": "10.19678/j.issn.1000-3428.0062260", "title": "Research on Vehicle Routing Problem with Drones Considering Multi-Delivery", "year": 2022, "authors": [ "Ma H." ], "first_author": "Ma H.", "venue": "Jisuanji Gongcheng Computer Engineering", "volume": "48", "pages": "299-305", "type": "Article", "language": null, "abstract": null, "keywords": [], "cited_by_openalex": 0, "cited_by_scopus": "5", "eid": "2-s2.0-85142478260", "pii": null, "open_access_url": null, "sources": [ { "db": "scopus", "stream": "UAV", "query_id": "UAV-2" } ], "streams": [ "UAV" ], "relevance_signals": [ "UAV_NO_CTX" ], "auto_exclude_reason": "EC-4-topic", "screening_status": "auto_excluded", "screened_by": "auto-v1.0.0" }, { "id": "doi:10.1109/cec55065.2022.9870306", "doi": "10.1109/cec55065.2022.9870306", "title": "Generative Optimisation of Resilient Drone Logistic Networks", "year": 2022, "authors": [ "Filippi G." ], "first_author": "Filippi G.", "venue": "2022 IEEE Congress on Evolutionary Computation CEC 2022 Conference Proceedings", "volume": null, "pages": null, "type": "Conference Paper", "language": null, "abstract": null, "keywords": [], "cited_by_openalex": 0, "cited_by_scopus": "5", "eid": "2-s2.0-85138687824", "pii": null, "open_access_url": null, "sources": [ { "db": "scopus", "stream": "UAV", "query_id": "UAV-2" } ], "streams": [ "UAV" ], "relevance_signals": [ "UAV_NO_CTX" ], "auto_exclude_reason": "EC-4-topic", "screening_status": "auto_excluded", "screened_by": "auto-v1.0.0" }, { "id": "doi:10.1016/j.ast.2022.107723", "doi": "10.1016/j.ast.2022.107723", "title": "Computational study of single and clustered parachutes in the wake of an aircraft", "year": 2022, "authors": [ "Bergeron K." ], "first_author": "Bergeron K.", "venue": "Aerospace Science and Technology", "volume": "127", "pages": null, "type": "Article", "language": null, "abstract": null, "keywords": [], "cited_by_openalex": 0, "cited_by_scopus": "5", "eid": "2-s2.0-85134165001", "pii": "S1270963822003972", "open_access_url": null, "sources": [ { "db": "scopus", "stream": "UAV", "query_id": "UAV-3" } ], "streams": [ "UAV" ], "relevance_signals": [ "NO_TECHNOLOGY_MATCH" ], "auto_exclude_reason": "EC-4-topic", "screening_status": "auto_excluded", "screened_by": "auto-v1.0.0" }, { "id": "doi:10.1109/ictmod55867.2022.10041873", "doi": "10.1109/ictmod55867.2022.10041873", "title": "Optimization of Hybrid Truck-Drone Delivery Systems: A bibliometric analysis", "year": 2022, "authors": [ "Batool Madani", "Malick Ndiaye" ], "first_author": "Batool Madani", "venue": "2022 IEEE International Conference on Technology Management Operations and Decisions Ictmod 2022", "volume": null, "pages": null, "type": "conference-paper", "language": "en", "abstract": "With the continued rise of e-commerce, logistics providers' responsibility for tackling the last-mile delivery (LMD) challenge grows. The LMD is the most polluting, costly, and inefficient component of the e-commerce supply chain. As a result, logistics firms are looking for innovative ways to improve delivery operations. To help reduce LMD challenges, a hybrid truck-drone delivery system (HTDDS) has emerged, combining drones with conventional delivery trucks. This approach has gotten a lot of attention in the literature because of its ability to reduce costs, minimize the environmental impact, and boost customer satisfaction. As a result, the purpose of this research is to conduct a rigorous bibliometric and network analysis of the HTDDS modeling and optimization problems. The research identifies emerging styles in article and journal performance, collaboration patterns, and main research areas.", "keywords": [ "Drone", "Truck", "Last mile (transportation)", "Supply chain", "Delivery Performance", "Computer science", "Component (thermodynamics)", "Business", "Operations research", "Process management", "Marketing", "Engineering" ], "cited_by_openalex": 5, "cited_by_scopus": "4", "eid": "2-s2.0-85149565147", "pii": null, "open_access_url": "https://doi.org/10.1109/ictmod55867.2022.10041873", "sources": [ { "db": "openalex", "stream": "TRUCK", "query_id": "TRUCK-1" }, { "db": "openalex", "stream": "UAV", "query_id": "UAV-1" }, { "db": "scopus", "stream": "TRUCK", "query_id": "TRUCK-1" }, { "db": "scopus", "stream": "UAV", "query_id": "UAV-1" } ], "streams": [ "TRUCK", "UAV" ], "relevance_signals": [ "UAV", "TRUCK" ], "auto_exclude_reason": null, "screening_status": "pending_human_screening", "screened_by": "auto-v1.0.0" }, { "id": "doi:10.1109/itsc55140.2022.9922062", "doi": "10.1109/itsc55140.2022.9922062", "title": "Routing of Heterogeneous Fleets for Flash Deliveries via Vehicle Group Assignment", "year": 2022, "authors": [ "Maximilian Kronmueller", "Andrés Fielbaum", "Javier Alonso–Mora" ], "first_author": "Maximilian Kronmueller", "venue": "2022 IEEE 25th International Conference on Intelligent Transportation Systems (ITSC)", "volume": "2022-October", "pages": "2286-2291", "type": "conference-paper", "language": "en", "abstract": "This paper presents a novel approach to route heterogeneous fleets for flash delivery operations. Flash deliveries offer to serve customers' wishes in minutes. We investigate a scenario that allows to pick up orders at multiple depots with a heterogeneous vehicle fleet leveraging different modes of transportation. We propose the Heterogeneous Vehicle Group Assignment (HVGA) method, which, given a problem state, identifies potential pick-up locations, calculates potential trips for all modes of transportation and last chooses from the set of potential trips. Experiments to analyze the proposed method are executed using a fleet featuring two modes of transportation, trucks and drones. We compare to a state-of-the-art method. Results show that HVGA is able to serve more orders while requiring less total traveled distance. Further, the effects of the fleet size and fleet composition between drones and trucks are examined by simulating three hours of a flash delivery operation in the city center of Amsterdam.", "keywords": [ "Truck", "Computer science", "TRIPS architecture", "Flash (photography)", "Routing (electronic design automation)", "Fleet management", "Transport engineering", "Vehicle routing problem", "State (computer science)", "Drone", "Duration (music)", "Operations research" ], "cited_by_openalex": 4, "cited_by_scopus": "4", "eid": "2-s2.0-85141859826", "pii": null, "open_access_url": "http://resolver.tudelft.nl/uuid:add17ec7-acf4-40c7-8823-765dc279d92b", "sources": [ { "db": "openalex", "stream": "TRUCK", "query_id": "TRUCK-3" }, { "db": "openalex", "stream": "UAV", "query_id": "UAV-2" }, { "db": "scopus", "stream": "TRUCK", "query_id": "TRUCK-3" } ], "streams": [ "TRUCK", "UAV" ], "relevance_signals": [ "UAV_NO_CTX", "TRUCK_NO_CTX" ], "auto_exclude_reason": "EC-4-topic", "screening_status": "auto_excluded", "screened_by": "auto-v1.0.0" }, { "id": "doi:10.24200/sci.2022.57891.5460", "doi": "10.24200/sci.2022.57891.5460", "title": "A stochastic-fuzzy multi-objective model for the last-mile delivery problem using drones and ground vehicles, a case study", "year": 2022, "authors": [ "Kimiya Rahmani Mokarrari", "Shadi Shirazian", "Amir Aghsami", "Fariborz Jolai" ], "first_author": "Kimiya Rahmani Mokarrari", "venue": "Scientia Iranica", "volume": "31", "pages": "847-865", "type": "article", "language": "en", "abstract": "Drone delivery as a novel approach for parcel delivery has been under the focus of many scholars and practitioners. In this regard, this paper introduces a stochastic-fuzzy multi-objective optimization model for designing a last-mile delivery system with drones and ground vehicles. The first two objective functions aim to minimize the detrimental effects of the delivery system on the environment and the total costs. The last objective function maximized the system's reliability by considering the breakdown probability of both drones and ground vehicles. Then, AUGMECON2 is utilized as an exact method to solve the proposed model. besides determining the number of required drones and ground vehicles, the model indicates locations and capacities of facilities where vehicles start their one-to-one trips to meet the customer demands. The proposed model is then validated by applying it to a real case study of an e-commerce company in Karaj, Iran. The findings suggest that the system's total cost rises when the reliability increases and the environmental impacts decrease. Furthermore, when both drones and ground vehicles are considered for meeting the customer demands, the delivery system functions better in terms of costs, environmental impacts, and reliability than when only one mode of delivery is considered.", "keywords": [ "Drone", "Reliability (semiconductor)", "Fuzzy logic", "Computer science", "Mile", "Last mile (transportation)", "TRIPS architecture", "Operations research", "Transport engineering", "Reliability engineering", "Engineering", "Geography" ], "cited_by_openalex": 3, "cited_by_scopus": "4", "eid": "2-s2.0-85201406209", "pii": null, "open_access_url": "http://scientiairanica.sharif.edu/article_22767_c25ba252bee5d69f1bfd61f75db7c3ec.pdf", "sources": [ { "db": "openalex", "stream": "UAV", "query_id": "UAV-1" }, { "db": "scopus", "stream": "UAV", "query_id": "UAV-1" } ], "streams": [ "UAV" ], "relevance_signals": [ "UAV" ], "auto_exclude_reason": null, "screening_status": "pending_human_screening", "screened_by": "auto-v1.0.0" }, { "id": "doi:10.46354/i3m.2022.hms.007", "doi": "10.46354/i3m.2022.hms.007", "title": "The use of autonomous coupling capable trailer to reduce the cost per delivery and increase profit for logistic companies: a simulative analysis", "year": 2022, "authors": [ "Elvezia Maria Cepolina", "Venkata Akhil Babu Malisetty", "Matteo Zoppi" ], "first_author": "Elvezia Maria Cepolina", "venue": "The ... international conference on Harbor, maritime & multimodal logistics modelling and simulation", "volume": null, "pages": "1-8", "type": "conference-paper", "language": "en", "abstract": "Last-mile distribution causes more obstacles in urban areas all over the world. Increased volumes of packages to be delivered for customer homes is directly increasing the number of delivery vans movement inside the urban areas and thus add to congestion and negative health impact. Therefore, it is anything but surprising that in recent years many traditional delivery concepts on the last mile have been innovated. Among the most prominent are unmanned aerial vehicles (drones) and autonomous delivery robots taking over parcel delivery. In this paper we introduce the autonomous latching and unlatching concept for urban vehicle with trailer. Considering the fact that latching and unlatching operations generally happen in unstructured environments where obstacles are left lying around, the whole latching and unlatching process is divided into two phases, namely the trailer repositioning phase and the autonomous latching and unlatching phase. The benefits in last-mile logistics of using this autonomous trailer for unattended deliveries are evaluated in simulation with Anylogic software. Four different scenarios are simulated and compared: traditional vans without trailers; traditional vans to which trailers can be added manually; traditional vans with autonomous coupling capable trailers; autonomous vans with autonomous coupling capable trailers.", "keywords": [ "Trailer", "Last mile (transportation)", "Drone", "Computer science", "Mile", "Profit (economics)", "Transport engineering", "Engineering", "Computer network" ], "cited_by_openalex": 2, "cited_by_scopus": "4", "eid": "2-s2.0-85139033698", "pii": null, "open_access_url": "https://doi.org/10.46354/i3m.2022.hms.007", "sources": [ { "db": "openalex", "stream": "UAV", "query_id": "UAV-1" }, { "db": "scopus", "stream": "UAV", "query_id": "UAV-1" } ], "streams": [ "UAV" ], "relevance_signals": [ "UAV" ], "auto_exclude_reason": null, "screening_status": "pending_human_screening", "screened_by": "auto-v1.0.0" }, { "id": "doi:10.1007/978-3-030-98574-5_9", "doi": "10.1007/978-3-030-98574-5_9", "title": "Strategic Deployment of Drone Centers and Fleet Size Planning for Drone Delivery", "year": 2022, "authors": [ "David Sacharny", "Thomas C. Henderson" ], "first_author": "David Sacharny", "venue": "Unmanned system technologies", "volume": null, "pages": null, "type": "book-chapter", "language": "en", "abstract": null, "keywords": [ "Drone", "Software deployment", "Schedule", "Transport engineering", "Truck", "Aeronautics", "Engineering", "Population", "Operations research", "Computer science", "Aerospace engineering" ], "cited_by_openalex": 4, "cited_by_scopus": 0, "eid": null, "pii": null, "open_access_url": "https://doi.org/10.1007/978-3-030-98574-5_9", "sources": [ { "db": "openalex", "stream": "UAV", "query_id": "UAV-2" }, { "db": "openalex", "stream": "UAV", "query_id": "UAV-3" } ], "streams": [ "UAV" ], "relevance_signals": [ "UAV_NO_CTX", "TRUCK_NO_CTX" ], "auto_exclude_reason": "EC-4-topic", "screening_status": "auto_excluded", "screened_by": "auto-v1.0.0" }, { "id": "doi:10.1177/03611981221103872", "doi": "10.1177/03611981221103872", "title": "Multiple Drone Routing Problem for On-Demand Hyperlocal Market", "year": 2022, "authors": [ "Murugaiyan Pachayappan" ], "first_author": "Murugaiyan Pachayappan", "venue": "Transportation Research Record Journal of the Transportation Research Board", "volume": "2677", "pages": "1243-1258", "type": "article", "language": "en", "abstract": "Deploying drones for rapid pickup and delivery for on-demand customers in the hyperlocal market is unexplored in literature and demands attention. Maximizing customer pickup and deliveries with a limited drone flight endurance is essential but is hard to achieve in practice because of many service requests by on-demand customers. It mandates that drones cover extra mileage to visit docking stations in between services for recharge. Optimally allocating the services on available flight endurance and minimizing the docking station visits to complete all scheduled services is a predominant requirement for effective drone operations in a hyperlocal market. This problem is formulated as a mixed-integer linear programming model, and a heuristic algorithm is proposed to attempt various practical size problems, with near-optimal solutions reported. The paper offers valuable insights for practitioners and future researchers wishing to analyze the performance of drone operations and determine the appropriate number of drones required for the hyperlocal market based on service demand.", "keywords": [ "Drone", "Operations research", "Computer science", "Integer programming", "Pickup", "Service (business)", "Business", "Marketing", "Engineering", "Artificial intelligence" ], "cited_by_openalex": 4, "cited_by_scopus": "4", "eid": "2-s2.0-85145350594", "pii": null, "open_access_url": "https://doi.org/10.1177/03611981221103872", "sources": [ { "db": "openalex", "stream": "UAV", "query_id": "UAV-2" }, { "db": "scopus", "stream": "UAV", "query_id": "UAV-2" } ], "streams": [ "UAV" ], "relevance_signals": [ "UAV_NO_CTX" ], "auto_exclude_reason": "EC-4-topic", "screening_status": "auto_excluded", "screened_by": "auto-v1.0.0" }, { "id": "doi:10.21638/11701/spbu10.2022.111", "doi": "10.21638/11701/spbu10.2022.111", "title": "Applied routing problem for a fleet of delivery drones using a modified parallel genetic algorithm", "year": 2022, "authors": [ "Anastasia Y. Markelova", "Alexander Allahverdyan", "Alexey Martemyanov", "Inga S. Sokolova", "Ovanes Petrosian", "Михаил Владимирович Свиркин" ], "first_author": "Anastasia Y. Markelova", "venue": "Vestnik of Saint Petersburg University Applied Mathematics Computer Science Control Processes", "volume": "18", "pages": "135-148", "type": "article", "language": "en", "abstract": "More and more experts agree that in the near future, most freight traffic will be carried out using automated systems, and of them drone delivery is considered to be the most promising. Drone delivery would benefit by independence from the limitations of transport infrastructure and road conditions and would ensure cargo delivery with rapid turnaround times, as well as a significant reduction of environmental impact. The technical capabilities of unmanned aerial vehicles improve year by year, so the task of coordinating drones and effectively planning routes is relevant and in great demand. The development of such technologies will help reduce transportation costs and improve customer service through faster delivery. This article discusses the applied routing problem for a fleet of drones with limited load capacity for the delivery of heterogeneous goods with the possibility of loading in multiple warehouses from an international optimization competition. The solution includes new approach based on a mixed dimensional parallel genetic algorithm (MDPGA) for finding rational routes for delivering goods to various customers and an assignment problem to reduce the dimension depending on the number of warehouses.", "keywords": [ "Drone", "Vehicle routing problem", "Computer science", "Routing (electronic design automation)", "Genetic algorithm", "Operations research", "Service (business)", "Truck", "Dimension (graph theory)", "Transport engineering", "Business", "Engineering" ], "cited_by_openalex": 6, "cited_by_scopus": "4", "eid": "2-s2.0-85134187202", "pii": null, "open_access_url": "https://dspace.spbu.ru/bitstream/11701/36938/1/135-148.pdf", "sources": [ { "db": "openalex", "stream": "UAV", "query_id": "UAV-2" }, { "db": "scopus", "stream": "UAV", "query_id": "UAV-2" } ], "streams": [ "UAV" ], "relevance_signals": [ "UAV_NO_CTX", "TRUCK_NO_CTX" ], "auto_exclude_reason": "EC-4-topic", "screening_status": "auto_excluded", "screened_by": "auto-v1.0.0" }, { "id": "doi:10.2478/logi-2022-0019", "doi": "10.2478/logi-2022-0019", "title": "VRP of Drones Considering Power Consumption Rate and Wind Effects", "year": 2022, "authors": [ "Seongheon Kim", "Seongheon Kim", "Suhwan Kim", "Suhwan Kim" ], "first_author": "Seongheon Kim", "venue": "Logi", "volume": "13", "pages": "210-221", "type": "article", "language": "en", "abstract": "Abstract The drone industry is one of the most important areas of the Fourth Industrial Revolution. In the drone industry, delivery systems using drones are now facing commercialization as they have undergone many experiments and discussions. The purpose of this study is to find the best route in a delivery system using a drone. In this study, we have developed the existing Vehicle Routing Problem (VRP) into a more realistic mathematical model considering the two differences between drones and vehicles; one is that power consumption varies with the weight of the loaded cargo and the other is that velocity is influenced by wind. This study also presents an Ant Colony System (ACS) algorithm to effectively solve VRP, a well-known NP-hard problem. The methodology of this study is quite successful and is expected to enable more realistic and effective routing decisions.", "keywords": [ "Drone", "Commercialization", "Vehicle routing problem", "Routing (electronic design automation)", "Power consumption", "Computer science", "Operations research", "Mathematical optimization", "Power (physics)", "Engineering", "Business", "Mathematics" ], "cited_by_openalex": 3, "cited_by_scopus": "4", "eid": "2-s2.0-85144750760", "pii": null, "open_access_url": "https://sciendo.com/pdf/10.2478/logi-2022-0019", "sources": [ { "db": "openalex", "stream": "UAV", "query_id": "UAV-2" }, { "db": "scopus", "stream": "UAV", "query_id": "UAV-2" } ], "streams": [ "UAV" ], "relevance_signals": [ "UAV_NO_CTX" ], "auto_exclude_reason": "EC-4-topic", "screening_status": "auto_excluded", "screened_by": "auto-v1.0.0" }, { "id": "doi:10.1109/dsaa54385.2022.10032441", "doi": "10.1109/dsaa54385.2022.10032441", "title": "The min-timespan parallel technician-and-drone scheduling in door-to-door sampling service system", "year": 2022, "authors": [ "Pham Phu Manh", "Tran Thi Hue", "Huỳnh Thị Thanh Bình", "Nguyen Khanh Phuong" ], "first_author": "Pham Phu Manh", "venue": "2022 IEEE 9th International Conference on Data Science and Advanced Analytics (DSAA)", "volume": null, "pages": null, "type": "conference-paper", "language": "en", "abstract": "This paper considers a variant of the Vehicle Routing Problem with Drones applied in the door-to-door sampling service system. Given a set of technicians and a fleet of drones departing from a medical center and working independently, the objective consists in designing feasible trips for technicians and drones such that the time from collection to arrival at the medical center of each customer’s test kits is not exceeded a limited duration and minimal makespan is achieved. A mixed-integer linear program (MILP) model is presented and solved to optimality with small instances due to the computational complexity of this problem. Thus, a tabu search approach is proposed. Experiments are then carried out to demonstrate the performance of the proposed algorithm and the advantage of integrating drones into the sampling service system.", "keywords": [ "Drone", "Computer science", "Job shop scheduling", "Scheduling (production processes)", "Integer programming", "Tabu search", "Sampling (signal processing)", "Service (business)", "Linear programming", "Technician", "Mathematical optimization", "Real-time computing" ], "cited_by_openalex": 2, "cited_by_scopus": "4", "eid": "2-s2.0-85148545865", "pii": null, "open_access_url": "http://dx.doi.org/10.1109/dsaa54385.2022.10032441", "sources": [ { "db": "openalex", "stream": "UAV", "query_id": "UAV-2" }, { "db": "scopus", "stream": "UAV", "query_id": "UAV-2" } ], "streams": [ "UAV" ], "relevance_signals": [ "UAV_NO_CTX" ], "auto_exclude_reason": "EC-4-topic", "screening_status": "auto_excluded", "screened_by": "auto-v1.0.0" }, { "id": "doi:10.1109/globecom48099.2022.10001484", "doi": "10.1109/globecom48099.2022.10001484", "title": "Learning-Based Cooperative Aerial and Ground Vehicle Routing for Emergency Communications", "year": 2022, "authors": [ "Yuchao Zhu", "Shaowei Wang" ], "first_author": "Yuchao Zhu", "venue": "GLOBECOM 2022 - 2022 IEEE Global Communications Conference", "volume": null, "pages": "4953-4958", "type": "conference-paper", "language": "en", "abstract": "Unmanned aerial vehicle (UAV)-assisted communications has emerged as a promising technology in many domains, such as disaster relief and emergency scenarios. However, the limited battery capacity restricts UAVs from performing such persistent missions. In this paper, we consider a general hybrid trajectory planning problem to efficiently provide emergency communications in time-constrained disaster-affected regions, where a ground vehicle carrying backup batteries moves along with the UAV as a “mobile charging platform” to handle the energy issue of the UAV. Our optimization task is to minimize the total cost of the mission. We show that the optimization task is an extension of the traveling salesman problem with soft time window constraints. Due to the NP-hardness of the task, we propose a novel deep reinforcement learning with a sequential model strategy to learn the policy for the UAV's visiting order, based on which the collaborative routes of the UAV and ground vehicle are designed. Numerical results show that our proposed learning-based route planning scheme is effective and efficient.", "keywords": [ "Routing (electronic design automation)", "Computer science", "Telecommunications", "Transport engineering", "Computer network", "Engineering" ], "cited_by_openalex": 3, "cited_by_scopus": "4", "eid": "2-s2.0-85146928854", "pii": null, "open_access_url": "https://doi.org/10.1109/globecom48099.2022.10001484", "sources": [ { "db": "openalex", "stream": "UAV", "query_id": "UAV-2" }, { "db": "scopus", "stream": "UAV", "query_id": "UAV-2" } ], "streams": [ "UAV" ], "relevance_signals": [ "UAV_NO_CTX" ], "auto_exclude_reason": "EC-4-topic", "screening_status": "auto_excluded", "screened_by": "auto-v1.0.0" }, { "id": "doi:10.48550/arxiv.2203.04595", "doi": "10.48550/arxiv.2203.04595", "title": "Practical Mission Planning for Optimized UAV-Sensor Wireless Recharging", "year": 2022, "authors": [ "Qiuchen Qian", "O'Keeffe, James", "Yanran Wang", "Boyle, David" ], "first_author": "Qiuchen Qian", "venue": "arXiv (Cornell University)", "volume": null, "pages": null, "type": "preprint", "language": "en", "abstract": "Optimal maintenance of sensor nodes in a Wireless Rechargeable Sensor Network (WRSN) requires effective scheduling of power delivery vehicles by solving the Charging Scheduling Problem (CSP). Deploying Unmanned Aerial Vehicles (UAVs) as mobile chargers has emerged as a promising solution due to their mobility and flexibility. The CSP can be formulated as a Mixed-Integer Non-Linear Programming problem whose optimization objective is maximizing the recharged energy of sensor nodes within the UAV battery constraint. While many studies have demonstrated satisfactory performance of heuristic algorithms in addressing specific routing problems, few studies explore online updating (i.e., mission re-planning `on the fly') in the CSP context. Here we present a new offline and online mission planner leveraging a first-principles power consumption model that uses real-time state information and environmental information. The planner, namely Rapid Online Metaheuristic-based Planner (ROMP), supplements solutions from a Guided Local Search (GLS) with our Context-aware Black Hole Algorithm. Our results demonstrate that ROMP outperforms GLS in most cases tested. We developed and proposed FastROMP to speed up the online mission (re-)planning algorithm by introducing a new online adjustment operator that uses the latest state information as input, eliminating the need for re-initialization. FastROMP not only provides a better quality route, but it also significantly reduces computational time. The reduction ranges from 39.57% in sparse deployment to 93.3% in denser deployments.", "keywords": [ "Computer science", "Wireless sensor network", "Real-time computing", "Scheduling (production processes)", "Context (archaeology)", "Energy consumption", "Software deployment", "Job shop scheduling", "Mathematical optimization", "Distributed computing", "Routing (electronic design automation)", "Computer network" ], "cited_by_openalex": 4, "cited_by_scopus": 0, "eid": null, "pii": null, "open_access_url": "https://arxiv.org/pdf/2203.04595", "sources": [ { "db": "openalex", "stream": "UAV", "query_id": "UAV-2" } ], "streams": [ "UAV" ], "relevance_signals": [ "UAV_NO_CTX" ], "auto_exclude_reason": "EC-4-topic", "screening_status": "auto_excluded", "screened_by": "auto-v1.0.0" }, { "id": "doi:10.48550/arxiv.2209.06308", "doi": "10.48550/arxiv.2209.06308", "title": "Risk-aware Resource Allocation for Multiple UAVs-UGVs Recharging Rendezvous", "year": 2022, "authors": [ "Asghar, Ahmad Bilal", "Shi, Guangyao", "Nare Karapetyan", "James D. Humann", "Jean-Paul Reddinger", "James M. Dotterweich", "Pratap Tokekar" ], "first_author": "Asghar, Ahmad Bilal", "venue": "arXiv (Cornell University)", "volume": null, "pages": null, "type": "preprint", "language": "en", "abstract": "We study a resource allocation problem for the cooperative aerial-ground vehicle routing application, in which multiple Unmanned Aerial Vehicles (UAVs) with limited battery capacity and multiple Unmanned Ground Vehicles (UGVs) that can also act as a mobile recharging stations need to jointly accomplish a mission such as persistently monitoring a set of points. Due to the limited battery capacity of the UAVs, they sometimes have to deviate from their task to rendezvous with the UGVs and get recharged. Each UGV can serve a limited number of UAVs at a time. In contrast to prior work on deterministic multi-robot scheduling, we consider the challenge imposed by the stochasticity of the energy consumption of the UAV. We are interested in finding the optimal recharging schedule of the UAVs such that the travel cost is minimized and the probability that no UAV runs out of charge within the planning horizon is greater than a user-defined tolerance. We formulate this problem ({Risk-aware Recharging Rendezvous Problem (RRRP))} as an Integer Linear Program (ILP), in which the matching constraint captures the resource availability constraints and the knapsack constraint captures the success probability constraints. We propose a bicriteria approximation algorithm to solve RRRP. We demonstrate the effectiveness of our formulation and algorithm in the context of one persistent monitoring mission.", "keywords": [ "Rendezvous", "Computer science", "Knapsack problem", "Time horizon", "Schedule", "Scheduling (production processes)", "Mathematical optimization", "Real-time computing", "Resource allocation", "Integer programming", "Computer network", "Engineering" ], "cited_by_openalex": 4, "cited_by_scopus": 0, "eid": null, "pii": null, "open_access_url": "https://arxiv.org/pdf/2209.06308", "sources": [ { "db": "openalex", "stream": "UAV", "query_id": "UAV-2" } ], "streams": [ "UAV" ], "relevance_signals": [ "UAV_NO_CTX" ], "auto_exclude_reason": "EC-4-topic", "screening_status": "auto_excluded", "screened_by": "auto-v1.0.0" }, { "id": "doi:10.1109/ieem55944.2022.9989729", "doi": "10.1109/ieem55944.2022.9989729", "title": "Multi-UAV Route Planning for Data Collection from Heterogeneous IoT Devices", "year": 2022, "authors": [ "Shukang Wang", "Yuying Long", "Yaoming Zhou", "Gangyan Xu" ], "first_author": "Shukang Wang", "venue": "2022 IEEE International Conference on Industrial Engineering and Engineering Management (IEEM)", "volume": "2022-December", "pages": "1556-1560", "type": "conference-paper", "language": "en", "abstract": "IoT devices are widely adopted in various scenarios to realize real-time data collection. However, it is challenging to efficiently collect the sensing data when IoT devices are physically distributed in remote areas. This paper proposes to use Unmanned Aerial Vehicles (UAVs) to realize efficient data collection from these IoT devices. Specifically, the heterogeneity of IoT devices in terms of data generation rates is considered, which is modelled as different time windows and service time requirements into the UAV routing problem. Besides, a multi-UAV multi-trip route planning model is proposed and a Tabu-Search based solution algorithm is developed. Finally, an experimental case study is conducted that verifies the effectiveness and performance of the proposed method.", "keywords": [ "Computer science", "Data collection", "Route planning", "Tabu search", "Internet of Things", "Real-time computing", "Routing (electronic design automation)", "Distributed computing", "Service (business)", "Computer network", "Embedded system", "Artificial intelligence" ], "cited_by_openalex": 3, "cited_by_scopus": "4", "eid": "2-s2.0-85146329769", "pii": null, "open_access_url": "https://doi.org/10.1109/ieem55944.2022.9989729", "sources": [ { "db": "openalex", "stream": "UAV", "query_id": "UAV-2" }, { "db": "scopus", "stream": "UAV", "query_id": "UAV-2" } ], "streams": [ "UAV" ], "relevance_signals": [ "UAV_NO_CTX" ], "auto_exclude_reason": "EC-4-topic", "screening_status": "auto_excluded", "screened_by": "auto-v1.0.0" }, { "id": "doi:10.1109/case49997.2022.9926704", "doi": "10.1109/case49997.2022.9926704", "title": "A Reactive Energy-Aware Rendezvous Planning Approach for Multi-Vehicle Teams", "year": 2022, "authors": [ "Kenny Chour", "Jean-Paul Reddinger", "James M. Dotterweich", "Marshal Childers", "James D. Humann", "Sivakumar Rathinam", "Swaroop Darbha" ], "first_author": "Kenny Chour", "venue": "2022 IEEE 18th International Conference on Automation Science and Engineering (CASE)", "volume": null, "pages": null, "type": "conference-paper", "language": "en", "abstract": "This paper addresses a type of rendezvous recharging problem involving a team of unmanned aerial and ground vehicles (UAVs, UGVs). UAVs are tasked with long-term surveillance and reactivity to events over a wide area, but are subject to energy constraints limiting their operation. UGVs can support UAVs by replenishing their battery via docking. The presented problem is a generalization of well-known NP-Hard problems in vehicle routing. We present a multi-level framework that decouples the challenging problem into smaller sub-problems for solving. The resulting framework is one that interleaves planning and execution for a team of vehicles, allowing for long-term operation and reactivity. We also present simulation results to validate our proposed approach.", "keywords": [ "Rendezvous", "Computer science", "Limiting", "Generalization", "Routing (electronic design automation)", "Distributed computing", "Motion planning", "Vehicle dynamics", "Real-time computing", "Computer network", "Robot", "Artificial intelligence" ], "cited_by_openalex": 4, "cited_by_scopus": 0, "eid": null, "pii": null, "open_access_url": "https://doi.org/10.1109/case49997.2022.9926704", "sources": [ { "db": "openalex", "stream": "UAV", "query_id": "UAV-2" } ], "streams": [ "UAV" ], "relevance_signals": [ "UAV_NO_CTX" ], "auto_exclude_reason": "EC-4-topic", "screening_status": "auto_excluded", "screened_by": "auto-v1.0.0" }, { "id": "doi:10.21203/rs.3.rs-1458039/v1", "doi": "10.21203/rs.3.rs-1458039/v1", "title": "Direction Stabilization and Simulation of an Aerial Delivery System with Ram-Air Parachute", "year": 2022, "authors": [ "Kemal Güven", "Andaç Töre Şamiloğlu" ], "first_author": "Kemal Güven", "venue": "Research Square", "volume": null, "pages": null, "type": "preprint", "language": "en", "abstract": "Abstract In this study, a controller system to stabilize the direction of an aerial delivery system with Ram-Air Parachute is developed. First, a simulation platform is prepared in Matlab, Simulink. Simulink 6DOF vehicle model is used for simulations. The aerodynamic forces and moments on the vehicle are mathematically modelled and implemented. Control algorithms for regulation of yaw, yaw rate and descent rate are developed and tested. The roll rate and pitch rate are observed parameters to examine the flight stability.", "keywords": [ "Aerospace engineering", "Computer science", "Environmental science", "Simulation", "Aeronautics", "Marine engineering", "Engineering" ], "cited_by_openalex": 4, "cited_by_scopus": 0, "eid": null, "pii": null, "open_access_url": "https://www.researchsquare.com/article/rs-1458039/latest.pdf", "sources": [ { "db": "openalex", "stream": "UAV", "query_id": "UAV-3" } ], "streams": [ "UAV" ], "relevance_signals": [ "UAV_NO_CTX" ], "auto_exclude_reason": "EC-4-topic", "screening_status": "auto_excluded", "screened_by": "auto-v1.0.0" }, { "id": "doi:10.1007/978-3-031-21333-5_52", "doi": "10.1007/978-3-031-21333-5_52", "title": "Open-Source, Decentralized Autonomous Drone-Based Delivery System", "year": 2022, "authors": [ "Priyanshu Sachdeva", "Jasveer Kaur", "Alexander Huhn", "Thomas Schwotzer" ], "first_author": "Priyanshu Sachdeva", "venue": "Lecture notes in networks and systems", "volume": "594 LNNS", "pages": "523-528", "type": "conference-paper", "language": "en", "abstract": null, "keywords": [ "Drone", "Quadcopter", "Computer security", "Work (physics)", "Population", "Computer science", "Trustworthiness", "Authentication (law)", "Commodity", "Business", "Engineering" ], "cited_by_openalex": 1, "cited_by_scopus": "4", "eid": "2-s2.0-85145043946", "pii": null, "open_access_url": "https://doi.org/10.1007/978-3-031-21333-5_52", "sources": [ { "db": "openalex", "stream": "UAV", "query_id": "UAV-3" }, { "db": "scopus", "stream": "UAV", "query_id": "UAV-3" } ], "streams": [ "UAV" ], "relevance_signals": [ "UAV_NO_CTX" ], "auto_exclude_reason": "EC-4-topic", "screening_status": "auto_excluded", "screened_by": "auto-v1.0.0" }, { "id": "doi:10.2514/6.2022-2717", "doi": "10.2514/6.2022-2717", "title": "Experimental Flight Tests of an In-Canopy System for Autonomous Aerial Delivery", "year": 2022, "authors": [ "Benjamin L. Leon", "Jacob Wachlin", "Michael Ward", "Mark Costello" ], "first_author": "Benjamin L. Leon", "venue": "26th AIAA Aerodynamic Decelerator Systems Technology Conference and Seminar Adstcs 2022", "volume": null, "pages": null, "type": "conference-paper", "language": "en", "abstract": "Guided airdrop systems offer the ability to deliver payloads with accuracy and with a high payload to air vehicle weight fraction. Traditionally, these systems use airborne guidance units with trailing edge control to steer ram-air parafoils in the same manner as a human pilot. Trailing edge control only provides lateral (turn rate) and limited airspeed control. Earthly Dynamics, LLC developed an in-canopy precision guided aerial delivery system that offers both lateral steering and longitudinal glide slope control of a ram-air parafoil. This paper will present the feasible mission CONOPS for this technology as a cargo delivery, spacecraft recovery, or personnel autopilot system. This work then details the flight-proven hardware and software architecture implemented in a 116 ft$^2$ ram-air parachute. Scalability of the design up to 2400 lb payloads is presented. Data and configuration for multiple flight test demonstrations as a cargo airdrop system and a spacecraft recovery system are provided. Finally, this paper concludes with future applications and development plans for this technology.", "keywords": [ "Payload (computing)", "Autopilot", "Flight test", "Scalability", "Airspeed", "Cockpit", "Aerospace engineering", "Spacecraft", "Computer science", "Enhanced Data Rates for GSM Evolution", "Control system", "Simulation" ], "cited_by_openalex": 2, "cited_by_scopus": "4", "eid": "2-s2.0-85132548400", "pii": null, "open_access_url": "https://doi.org/10.2514/6.2022-2717", "sources": [ { "db": "openalex", "stream": "UAV", "query_id": "UAV-3" }, { "db": "scopus", "stream": "UAV", "query_id": "UAV-3" } ], "streams": [ "UAV" ], "relevance_signals": [ "UAV_NO_CTX" ], "auto_exclude_reason": "EC-4-topic", "screening_status": "auto_excluded", "screened_by": "auto-v1.0.0" }, { "id": "doi:10.17208/jkpa.2022.08.57.4.25", "doi": "10.17208/jkpa.2022.08.57.4.25", "title": "Factors Influencing the Intention to Use UAM (Urban Air Mobility) and Acceptance of Ground Infrastructure (Vertiport)", "year": 2022, "authors": [ "Jong-Wook Lee", "Hyunjung Choi", "Sungjo Hong" ], "first_author": "Jong-Wook Lee", "venue": "국토계획", "volume": null, "pages": null, "type": "article", "language": "en", "abstract": null, "keywords": [ "Business", "Environmental planning", "Transport engineering", "Geography", "Engineering" ], "cited_by_openalex": 4, "cited_by_scopus": 0, "eid": null, "pii": null, "open_access_url": "https://doi.org/10.17208/jkpa.2022.08.57.4.25", "sources": [ { "db": "openalex", "stream": "UAV", "query_id": "UAV-3" } ], "streams": [ "UAV" ], "relevance_signals": [ "UAV_NO_CTX" ], "auto_exclude_reason": "EC-4-topic", "screening_status": "auto_excluded", "screened_by": "auto-v1.0.0" }, { "id": "doi:10.3390/app122211858", "doi": "10.3390/app122211858", "title": "Multivehicle Point-to-Point Network Problem Formulation for UAM Operation Management Used with Dynamic Scheduling", "year": 2022, "authors": [ "Zin Win Thu", "Dasom Kim", "Junseok Lee", "Woon-Jae Won", "Hyunjun Lee", "Nan Lao Ywet", "Aye Aye Maw", "Jae-Woo Lee" ], "first_author": "Zin Win Thu", "venue": "Applied Sciences", "volume": "12", "pages": null, "type": "article", "language": "en", "abstract": "In this paper, we introduce a new formulation of the multivehicle point-to-point network problem to be utilised in urban air mobility (UAM) vertiport-to-vertiport network operations. Vehicle routing problems (VRPs) and their variants have previously been studied and applied in real-world situations, but these problems require additional depot locations, and not all the vehicles can travel to all the locations. In UAM operations, additional depot locations may not be required, and all vehicles can travel to all locations, meaning that existing routing problems are not suitable for application to the management of UAMs. Therefore, we propose a new formulation for UAM vertiport-to-vertiport operation by introducing new constraints. In addition, we integrate dynamic scheduling with the flight mission by controlling cruise speed and waiting in each UAM at each vertiport location to generate an arrival and departure schedule for different vertiports that can avoid collisions and increase the number of vehicles. A computational experiment is conducted using an MILP model, and the results show that although our formulation satisfies the problem definition, the computation time increases exponentially with an increase in the problem size. A case study is conducted in the Seoul area involving five vertiports, with 10- and 15-vehicle scenarios studied. This case study shows that the cruise speed variable is active only for the lower and upper bounds under dynamic scheduling, whereas the waiting time variable can be controlled between user-defined limits that can be applied to the management of vertiport-to-vertiport UAM operations.", "keywords": [ "Scheduling (production processes)", "Vehicle routing problem", "Mathematical optimization", "Cruise", "Computer science", "Schedule", "Variable (mathematics)", "Routing (electronic design automation)", "Job shop scheduling", "Flow network", "Time point", "Dynamic programming" ], "cited_by_openalex": 4, "cited_by_scopus": "4", "eid": "2-s2.0-85142485587", "pii": null, "open_access_url": "https://www.mdpi.com/2076-3417/12/22/11858/pdf?version=1669178952", "sources": [ { "db": "openalex", "stream": "UAV", "query_id": "UAV-3" }, { "db": "scopus", "stream": "UAV", "query_id": "UAV-3" } ], "streams": [ "UAV" ], "relevance_signals": [ "UAV_NO_CTX" ], "auto_exclude_reason": "EC-4-topic", "screening_status": "auto_excluded", "screened_by": "auto-v1.0.0" }, { "id": "doi:10.23919/at-ap-rasc54737.2022.9814169", "doi": "10.23919/at-ap-rasc54737.2022.9814169", "title": "Concept for a Short-Range Fallback Communication System for Drones in Medical Applications", "year": 2022, "authors": [ "Rainer Poeschl", "Stefan Kunze" ], "first_author": "Rainer Poeschl", "venue": "2022 3rd URSI Atlantic and Asia Pacific Radio Science Meeting (AT-AP-RASC)", "volume": null, "pages": null, "type": "conference-paper", "language": "en", "abstract": "Goal of the research project KIMoNo is the implementation of a drone based delivery system for medical products and samples. To ensure the communication between drone and a ground team even in remote areas, a fallback communication system is required. In this paper a brief overview of communication systems for drones is presented and a concept for the fallback communication system is proposed.", "keywords": [ "Drone", "Communications system", "Computer science", "Range (aeronautics)", "Telecommunications", "Engineering", "Aerospace engineering" ], "cited_by_openalex": 4, "cited_by_scopus": "4", "eid": "2-s2.0-85134882758", "pii": null, "open_access_url": "https://doi.org/10.23919/at-ap-rasc54737.2022.9814169", "sources": [ { "db": "openalex", "stream": "UAV", "query_id": "UAV-3" }, { "db": "scopus", "stream": "UAV", "query_id": "UAV-3" } ], "streams": [ "UAV" ], "relevance_signals": [ "UAV_NO_CTX" ], "auto_exclude_reason": "EC-4-topic", "screening_status": "auto_excluded", "screened_by": "auto-v1.0.0" }, { "id": "doi:10.1109/icns54818.2022.9771523", "doi": "10.1109/icns54818.2022.9771523", "title": "Impact of Airspace Restrictions on Urban Air Mobility Commuter Demand Potential", "year": 2022, "authors": [ "Mihir Rimjha", "Susan L. Hotle", "Antonio A. Trani", "Nicholas Hinze" ], "first_author": "Mihir Rimjha", "venue": null, "volume": null, "pages": null, "type": "conference-paper", "language": "en", "abstract": "This study aims to understand the impact of airspace restrictions on Urban Air Mobility (UAM) commuter demand potential in the New York City region. The potential for UAM is higher in congested cities with substantial commuter populations, but often these cities are served by one or more airports with congested airspaces encompassing over a large part of the urban area. The integration between commercial airspaces and future UAM airspace is among the major challenges to overcome. This study analyzes UAM demand potential with three scenarios of airspace restrictions- No Restrictions, Class-B restrictions only, Class-B/D restrictions. Close to 10 million commuters reside in the New York City area. The city is served by three major commercial airports (JFK, EWR, LGA), making it ideal for this study. A UAM demand estimation framework is built to estimate UAM demand potential for different scenarios. The airspace restrictions significantly affect the UAM demand potential by resulting in less optimal placement of vertiports and increased travel distances. Based on the UAM fares used in the simulation, the airspace restrictions decrease UAM demand by 40% - 57%, compared to the unrestricted scenarios.", "keywords": [ "Transport engineering", "Computer science", "Engineering" ], "cited_by_openalex": 4, "cited_by_scopus": 0, "eid": null, "pii": null, "open_access_url": "https://doi.org/10.1109/icns54818.2022.9771523", "sources": [ { "db": "openalex", "stream": "UAV", "query_id": "UAV-3" } ], "streams": [ "UAV" ], "relevance_signals": [ "UAV_NO_CTX" ], "auto_exclude_reason": "EC-4-topic", "screening_status": "auto_excluded", "screened_by": "auto-v1.0.0" }, { "id": "doi:10.2514/6.2022-1475", "doi": "10.2514/6.2022-1475", "title": "Semantic Segmentation-based Vision-enabled Safe Landing Position Estimation Framework", "year": 2022, "authors": [ "Sungwook Cho", "Yeondeuk Jung" ], "first_author": "Sungwook Cho", "venue": "AIAA SCITECH 2022 Forum", "volume": null, "pages": null, "type": "conference-paper", "language": "en", "abstract": "View Video Presentation: https://doi.org/10.2514/6.2022-1475.vid Nowadays, the urban air mobility (UAM) industry has been in the limelight. To guarantee the high reliability of industrial-level autonomous flying in urban regions, flight safety and survivability should be a high priority concern. To satisfy these industrial needs, this paper proposes a semantic segmentation-based vision-enabled safe landing position estimation framework. This framework is a core component of the contingency plan that should be employed in the case of an emergency during flight for UAM and drone transportation. More precisely, our proposed framework can identify the coarse candidate region for the safe landing using deep neural network (DNN)-based semantic segmentation and then determine the refined safety landing zone and estimated position utilizing contour detection, surface flatness and inclination filtering. To verify the performance of the proposed contribution, the simulation was conducted and analyzed, and its result has proven to be valid with respect to both quantitative and qualitative terms. As a result, our proposed framework is capable of not only overcoming the inherent difficulty of image processing in the real world but also significantly improving flight emergency relief performance.", "keywords": [ "Computer science", "Segmentation", "Artificial intelligence", "Survivability", "Computer vision", "Reliability (semiconductor)", "Position (finance)", "Drone", "Component (thermodynamics)", "Real-time computing" ], "cited_by_openalex": 2, "cited_by_scopus": "4", "eid": "2-s2.0-85123619137", "pii": null, "open_access_url": "https://doi.org/10.2514/6.2022-1475", "sources": [ { "db": "openalex", "stream": "UAV", "query_id": "UAV-3" }, { "db": "scopus", "stream": "UAV", "query_id": "UAV-3" } ], "streams": [ "UAV" ], "relevance_signals": [ "UAV_NO_CTX" ], "auto_exclude_reason": "EC-4-topic", "screening_status": "auto_excluded", "screened_by": "auto-v1.0.0" }, { "id": "doi:10.2514/6.2022-3837", "doi": "10.2514/6.2022-3837", "title": "SimUAM: A Toolchain to Integrate Ground and Air to Evaluate Urban Air Mobility's Impact on Travel Behavior", "year": 2022, "authors": [ "Pavan S. Yedavalli", "Emin Burak Onat", "Xin Peng", "Raja Sengupta", "Paul A. Waddell", "Vishwanath Bulusu", "Min Xue" ], "first_author": "Pavan S. Yedavalli", "venue": "AIAA AVIATION 2022 Forum", "volume": null, "pages": null, "type": "conference-paper", "language": "en", "abstract": "View Video Presentation: https://doi.org/10.2514/6.2022-3837.vid Over the past several years, Urban Air Mobility (UAM) has galvanized enthusiasm from investors and researchers, marrying expertise in aircraft design, transportation, logistics, artificial intelligence, battery chemistry, and broader policymaking. However, two significant questions remain unexplored: (1) What is the value of UAM in a region’s transportation network? and (2) How can UAM be effectively deployed to realize and maximize this value to all stakeholders, including riders and local economies? To adequately understand the value proposition of UAM for metropolitan areas, the authors develop a holistic multi-modal toolchain, SimUAM, to model and simulate UAM and its impacts on travel behavior. This toolchain has several components: (1) Microsimulation Analysis for Network Traffic Assignment (MANTA): A fast, high-fidelity regional-scale traffic microsimulator, (2) VertiSim: A granular, discrete-event vertiport and pedestrian simulator, (3) Flexible Engine for Fast-time Evaluation of Flight Environments (Fe$^3$): A high-fidelity, trajectory-based aerial microsimulation. SimUAM, rooted in granular, GPU-based microsimulation, models millions of trips and their movements in the street network and in the air, producing interpretable and actionable performance metrics for UAM designs and deployments. Once the ground-air interface is modeled, the authors find that the market for UAM decreases across all network designs relative to models with static assumptions about transfer times. However, significant improvements can be made to balance the demand and optimize the networks for transfer time, likely increasing the number of benefited trips. The modularity, extensibility, and speed of the platform will allow for rapid scenario planning and sensitivity analysis, effectively acting as a detailed performance assessment tool.", "keywords": [ "Toolchain", "Microsimulation", "Computer science", "Metropolitan area", "Discrete event simulation", "Transport engineering", "Simulation", "Operations research", "Engineering", "Software" ], "cited_by_openalex": 3, "cited_by_scopus": "4", "eid": "2-s2.0-85135216650", "pii": null, "open_access_url": "https://doi.org/10.2514/6.2022-3837", "sources": [ { "db": "openalex", "stream": "UAV", "query_id": "UAV-3" }, { "db": "scopus", "stream": "UAV", "query_id": "UAV-3" } ], "streams": [ "UAV" ], "relevance_signals": [ "UAV_NO_CTX" ], "auto_exclude_reason": "EC-4-topic", "screening_status": "auto_excluded", "screened_by": "auto-v1.0.0" }, { "id": "doi:10.13587/j.cnki.jieem.2022.02.020", "doi": "10.13587/j.cnki.jieem.2022.02.020", "title": "Multi-commodity location-routing problem arising in city logistics", "year": 2022, "authors": [ "Quanwu Z." ], "first_author": "Quanwu Z.", "venue": "Journal of Industrial Engineering and Engineering Management", "volume": "36", "pages": "225-237", "type": "Article", "language": null, "abstract": null, "keywords": [], "cited_by_openalex": 0, "cited_by_scopus": "4", "eid": "2-s2.0-85126956498", "pii": null, "open_access_url": null, "sources": [ { "db": "scopus", "stream": "TRUCK", "query_id": "TRUCK-2" } ], "streams": [ "TRUCK" ], "relevance_signals": [ "NO_TECHNOLOGY_MATCH" ], "auto_exclude_reason": "EC-4-topic", "screening_status": "auto_excluded", "screened_by": "auto-v1.0.0" }, { "id": "title:traveling salesman problem with prioritization for perishable products in yogyakarta indonesia", "doi": null, "title": "TRAVELING SALESMAN PROBLEM WITH PRIORITIZATION FOR PERISHABLE PRODUCTS IN YOGYAKARTA, INDONESIA", "year": 2022, "authors": [ "Asih H.M." ], "first_author": "Asih H.M.", "venue": "Journal of Advanced Manufacturing Technology", "volume": "16", "pages": "15-27", "type": "Article", "language": null, "abstract": null, "keywords": [], "cited_by_openalex": 0, "cited_by_scopus": "4", "eid": "2-s2.0-85150430898", "pii": null, "open_access_url": null, "sources": [ { "db": "scopus", "stream": "TRUCK", "query_id": "TRUCK-3" } ], "streams": [ "TRUCK" ], "relevance_signals": [ "NO_TECHNOLOGY_MATCH" ], "auto_exclude_reason": "EC-4-topic", "screening_status": "auto_excluded", "screened_by": "auto-v1.0.0" }, { "id": "doi:10.1080/10106049.2022.2068676", "doi": "10.1080/10106049.2022.2068676", "title": "Extending INSPIRE to accommodate urban drone logistics", "year": 2022, "authors": [ "Bilgin G." ], "first_author": "Bilgin G.", "venue": "Geocarto International", "volume": "37", "pages": "12536-12560", "type": "Article", "language": null, "abstract": null, "keywords": [], "cited_by_openalex": 0, "cited_by_scopus": "4", "eid": "2-s2.0-85129572796", "pii": null, "open_access_url": null, "sources": [ { "db": "scopus", "stream": "UAV", "query_id": "UAV-1" } ], "streams": [ "UAV" ], "relevance_signals": [ "UAV_NO_CTX" ], "auto_exclude_reason": "EC-4-topic", "screening_status": "auto_excluded", "screened_by": "auto-v1.0.0" }, { "id": "doi:10.1007/978-3-030-92096-8_8", "doi": "10.1007/978-3-030-92096-8_8", "title": "Promoting Zero-Emission Urban Logistics: Efficient Use of Electric Trucks Through Intelligent Range Estimation", "year": 2022, "authors": [ "Sebastian Stütz", "Andreas Gade", "Daniela Kirsch" ], "first_author": "Sebastian Stütz", "venue": "Icity Transformative Research for the Livable Intelligent and Sustainable City Research Findings of University of Applied Sciences Stuttgart", "volume": null, "pages": "91-102", "type": "book-chapter", "language": "en", "abstract": "Abstract Critical success factors for the efficient use of electric trucks are the operational range and the total costs of ownership. For both range and efficient use, power consumption is the key factor. Increasing precision in forecasting power consumption and, hence, maximum range will pave the way for efficient vehicle deployment. However, not only electric trucks are scarce, but also is knowledge with respect to what these vehicles are actually technically capable of. Therefore, this article focuses on power consumption and range of electric vehicles. Following a discussion on how current research handles the mileage of electric vehicles, the article illustrates how to find simple yet robust and precise models to predict power consumption and range by using basic parameters from transport planning only. In the paper, we argue that the precision of range and consumption estimates can be substantially improved compared to common approaches which usually posit a proportional relationship between energy consumption and travel distance and require substantial safety buffers.", "keywords": [ "Truck", "Range (aeronautics)", "Software deployment", "Driving range", "Consumption (sociology)", "Automotive engineering", "Power consumption", "Electric vehicle", "Fuel efficiency", "Zero emission", "Power (physics)", "Electric power" ], "cited_by_openalex": 3, "cited_by_scopus": "3", "eid": "2-s2.0-85165042578", "pii": null, "open_access_url": "https://link.springer.com/content/pdf/10.1007/978-3-030-92096-8_8.pdf", "sources": [ { "db": "openalex", "stream": "TRUCK", "query_id": "TRUCK-1" }, { "db": "scopus", "stream": "TRUCK", "query_id": "TRUCK-1" } ], "streams": [ "TRUCK" ], "relevance_signals": [ "TRUCK" ], "auto_exclude_reason": null, "screening_status": "pending_human_screening", "screened_by": "auto-v1.0.0" }, { "id": "doi:10.1016/j.tranpol.2022.10.016", "doi": "10.1016/j.tranpol.2022.10.016", "title": "Capacity reduction on urban main roads: How truck drivers adapted, and what effects and consequences they experienced", "year": 2022, "authors": [ "Elise Caspersen", "Tale Ørving", "Aud Tennøy" ], "first_author": "Elise Caspersen", "venue": "Transport Policy", "volume": "130", "pages": "68-83", "type": "article", "language": "en", "abstract": "Urban freight transport is an important issue in sustainable mobility discussions. It constitutes a significant proportion of urban traffic, and expected negative impacts for urban freight transport can be arguments against implementing restrictive measures targeting passenger traffic. The scarcity of empirical studies might lead to over- or underestimation of consequences for urban freight transport. This might slow shifts towards more sustainable mobility or cause unintended negative consequences. A long-planned 14-month capacity reduction in a main road tunnel in Oslo, Norway, causing significantly increased congestion, offered an excellent opportunity to study urban freight transport adaptations, effects and consequences. With truck drivers and logistics professionals as key informants, the study amplifies voices not often heard in research. Truck drivers adapted by avoiding the tunnel during rush hours only to a limited degree, and less than general traffic did. They reported limited flexibility, as routes and trip timing are strongly defined by customer contracts. The wider consequences for drivers were more stress and less predictable workdays. The findings might improve understandings of how truck drivers can and do adapt, and what consequences they experience. This will help authorities and freight companies plan for changes in urban transport systems aimed at sustainable mobility.", "keywords": [ "Truck", "Transport engineering", "Unintended consequences", "Business", "Scarcity", "Traffic congestion", "Flexibility (engineering)", "Sustainable transport", "Vehicle miles of travel", "Sustainability", "Engineering", "Economics" ], "cited_by_openalex": 5, "cited_by_scopus": "3", "eid": "2-s2.0-85141797889", "pii": "S0967070X22003018", "open_access_url": "https://www.sciencedirect.com/science/article/pii/S0967070X22003018/pdf", "sources": [ { "db": "openalex", "stream": "TRUCK", "query_id": "TRUCK-1" }, { "db": "openalex", "stream": "TRUCK", "query_id": "TRUCK-2" }, { "db": "scopus", "stream": "TRUCK", "query_id": "TRUCK-1" } ], "streams": [ "TRUCK" ], "relevance_signals": [ "TRUCK" ], "auto_exclude_reason": null, "screening_status": "pending_human_screening", "screened_by": "auto-v1.0.0" }, { "id": "doi:10.4337/9781800373372.00016", "doi": "10.4337/9781800373372.00016", "title": "Explaining the growth in light electric vehicles in city logistics", "year": 2022, "authors": [ "Ron van Duin", "W. Ploos van Amstel", "Hans J. Quak" ], "first_author": "Ron van Duin", "venue": "Edward Elgar Publishing eBooks", "volume": null, "pages": null, "type": "book-chapter", "language": "en", "abstract": "The global growth of cities leads to more residents, more businesses and more jobs. As a result, companies, workers, residents and visitors demand more goods and produce more waste. More space for logistics activities in and around cities is at odds to the growing need for accommodation for people living and working in cities. The Light Electric Freight Vehicle (LEFV) can be an innovative solution to deal with these challenges. LEFVs take up less road space, are zero-emission, and are less intrusive than vans in city logistics. This chapter deals with the success and failure factors of the introduction of LEFVs in city logistics and the related future perspectives on LEFVs in city logistics explained by the application of the TIS framework (Technological Innovation System). The chapter ends with a future perspective on LEFVs based on a SWOT-analysis in which the TIS -factors are positioned.", "keywords": [ "SWOT analysis", "City logistics", "Accommodation", "Business", "Space (punctuation)", "Odds", "Transport engineering", "Marketing", "Engineering", "Computer science" ], "cited_by_openalex": 3, "cited_by_scopus": 0, "eid": null, "pii": null, "open_access_url": "https://www.elgaronline.com/downloadpdf/book/9781800373372/book-part-9781800373372-16.pdf", "sources": [ { "db": "openalex", "stream": "TRUCK", "query_id": "TRUCK-1" } ], "streams": [ "TRUCK" ], "relevance_signals": [ "TRUCK" ], "auto_exclude_reason": null, "screening_status": "pending_human_screening", "screened_by": "auto-v1.0.0" }, { "id": "doi:10.2139/ssrn.4065318", "doi": "10.2139/ssrn.4065318", "title": "Pickup and Delivery with Lockers", "year": 2022, "authors": [ "Mauro Dell'Amico", "Roberto Montemanni", "Stefano Novellani" ], "first_author": "Mauro Dell'Amico", "venue": "SSRN Electronic Journal", "volume": null, "pages": null, "type": "preprint", "language": "en", "abstract": null, "keywords": [ "Pickup", "Advertising", "Computer science", "Business", "Artificial intelligence" ], "cited_by_openalex": 3, "cited_by_scopus": 0, "eid": null, "pii": null, "open_access_url": "https://doi.org/10.2139/ssrn.4065318", "sources": [ { "db": "openalex", "stream": "TRUCK", "query_id": "TRUCK-1" } ], "streams": [ "TRUCK" ], "relevance_signals": [ "NO_TECHNOLOGY_MATCH" ], "auto_exclude_reason": "EC-4-topic", "screening_status": "auto_excluded", "screened_by": "auto-v1.0.0" }, { "id": "doi:10.2139/ssrn.4124233", "doi": "10.2139/ssrn.4124233", "title": "Joint Optimization of Parcel Allocation and Crowd Routing for Crowdsourced Last-Mile Delivery", "year": 2022, "authors": [ "Li Wang", "Min Xu", "Hu Qin" ], "first_author": "Li Wang", "venue": "SSRN Electronic Journal", "volume": null, "pages": null, "type": "preprint", "language": "en", "abstract": null, "keywords": [ "Last mile (transportation)", "Mile", "Joint (building)", "Computer science", "Crowdsourcing", "Routing (electronic design automation)", "Geography", "Operations research", "Transport engineering", "Computer network", "Engineering", "World Wide Web" ], "cited_by_openalex": 3, "cited_by_scopus": 0, "eid": null, "pii": null, "open_access_url": "https://doi.org/10.2139/ssrn.4124233", "sources": [ { "db": "openalex", "stream": "TRUCK", "query_id": "TRUCK-2" } ], "streams": [ "TRUCK" ], "relevance_signals": [ "NO_TECHNOLOGY_MATCH" ], "auto_exclude_reason": "EC-4-topic", "screening_status": "auto_excluded", "screened_by": "auto-v1.0.0" }, { "id": "doi:10.65109/mtzi4161", "doi": "10.65109/mtzi4161", "title": "The Competition and Inefficiency in Urban Road Last-Mile Delivery", "year": 2022, "authors": [ "Keyang Zhang", "Jose Javier Escribano Macias", "Dario Paccagnan", "Panagiotis Angeloudis" ], "first_author": "Keyang Zhang", "venue": null, "volume": null, "pages": null, "type": "conference-paper", "language": null, "abstract": "The last-mile delivery market is highly competitive and is saturated with numerous small operators. In this context, the fierce competition between operators, joint with the rapid increase in the demand for home-delivery, resulted in a significant increase in urban freight traffic further worsening congestion and pollution. To tackle these issues, previous research has studied the implementation of collaborative last-mile operations, with organisations sharing resources in the form of inventory space or transportation capacity. However, a common limitation of the proposed models is ignoring time windows and the effects of externalities such as network congestion. In this work, we propose a framework to quantify the efficiency loss in urban last-mile delivery system by comparing the solutions of a fully-decentralised and fully-centralised last-mile delivery problem. In doing so, we develop a Multi-depot Vehicle Routing Problem with Time Windows and Congestible Network that is solved using a bespoke Parallel Hybrid Genetic Algorithm that accounts for the non-linearities arising from modelling endogenous network congestion. The model is evaluated on a case study based on central London to assess the efficiency gaps of realistic last-mile delivery operations. When time window constraints are not included, our results show that the efficiency loss fluctuates the most with a small number of customers, while it stabilises to less than 15% for instances with over 100 customers. However, time windows could significantly exacerbate this issue, resulting in an additional 25% of efficiency loss.", "keywords": [ "Inefficiency", "Competition (biology)", "Bespoke", "Network effect", "Traffic congestion", "Routing (electronic design automation)", "Externality", "Multihoming", "Competitive equilibrium", "Economic efficiency" ], "cited_by_openalex": 3, "cited_by_scopus": 0, "eid": null, "pii": null, "open_access_url": "https://doi.org/10.65109/mtzi4161", "sources": [ { "db": "openalex", "stream": "TRUCK", "query_id": "TRUCK-2" } ], "streams": [ "TRUCK" ], "relevance_signals": [ "NO_TECHNOLOGY_MATCH" ], "auto_exclude_reason": "EC-4-topic", "screening_status": "auto_excluded", "screened_by": "auto-v1.0.0" }, { "id": "doi:10.48550/arxiv.2204.01335", "doi": "10.48550/arxiv.2204.01335", "title": "Logistics in the Sky: A Two-phase Optimization Approach for the Drone Package Pickup and Delivery System", "year": 2022, "authors": [ "Fangyu Hong", "Guohua Wu", "Qizhang Luo", "Huan Liu", "Fang, Xiaoping", "Witold Pedrycz" ], "first_author": "Fangyu Hong", "venue": "arXiv (Cornell University)", "volume": null, "pages": null, "type": "preprint", "language": "en", "abstract": "The application of drones in the last-mile distribution is a research hotspot in recent years. Different from the previous urban distribution mode that depends on trucks, this paper proposes a novel package pick-up and delivery mode and system in which multiple drones collaborate with automatic devices. The proposed mode uses free areas on the top of residential buildings to set automatic devices as delivery and pick-up points of packages, and employs drones to transport packages between buildings and depots. Integrated scheduling problem of package drop-pickup considering m-drone, m-depot, m-customer is crucial for the system. We propose a simulated-annealing-based two-phase optimization approach (SATO) to solve this problem. In the first phase, tasks are allocated to depots for serving, such that the initial problem is decomposed into multiple single depot scheduling problems with m-drone. In the second phase, considering the drone capability constraints and task demand constraints, we generate the route planning scheme for drones in each depot. Concurrently, an improved variable neighborhood descent algorithm (IVND) is designed in the first phase to reallocate tasks, and a local search algorithm (LS) are proposed to search the high-quality solution in the second phase. Finally, extensive experiments and comparative studies are conducted to test the effectiveness of the proposed approach. Experiments indicate that the proposed SATO-IVND can reduce the cost by more than 14% in a reasonable time compared with several other peer algorithms.", "keywords": [ "Drone", "Computer science", "Scheduling (production processes)", "Pickup", "Simulated annealing", "Last mile (transportation)", "Real-time computing", "Mathematical optimization", "Simulation", "Algorithm", "Artificial intelligence" ], "cited_by_openalex": 3, "cited_by_scopus": 0, "eid": null, "pii": null, "open_access_url": "https://arxiv.org/pdf/2204.01335", "sources": [ { "db": "openalex", "stream": "TRUCK", "query_id": "TRUCK-2" }, { "db": "openalex", "stream": "TRUCK", "query_id": "TRUCK-3" }, { "db": "openalex", "stream": "UAV", "query_id": "UAV-1" } ], "streams": [ "TRUCK", "UAV" ], "relevance_signals": [ "UAV", "TRUCK" ], "auto_exclude_reason": null, "screening_status": "pending_human_screening", "screened_by": "auto-v1.0.0" }, { "id": "doi:10.1590/0103-6513.20210091", "doi": "10.1590/0103-6513.20210091", "title": "Scheduling of the inbound and outbound trucks at a Cross-Docking platform considering mutualization of docks", "year": 2022, "authors": [ "Natalia Cordoba", "Alejandro Montoya" ], "first_author": "Natalia Cordoba", "venue": "Production", "volume": "32", "pages": null, "type": "article", "language": "en", "abstract": "Paper aims This paper studies a new Cross-Docking (CD) scheduling problem inspired by the trend of resource mutualization at CD operations where a company owning a CD platform can lease its docks to other companies. Originality This work pioneers the studies of the resource mutualization at CD operations solving at scheduling problem, where there is a set of requirements for leasing the loading and unloading docks for a period, and the company owning the docks can accept or decline each requirement. Considering that the availability of the docks is linked to scheduling the trucks at the company’s loading and unloading docks, the decision to accept the requirements must be made along with the decisions for scheduling the trucks. Research method To solve this problem, this work proposes a Mixed-Integer Linear Programming (MILP) formulation. Main findings Using a commercial solver, the MILP formulation can optimally solve 65/128 instances based on a real operation. For the remaining instances, the MILP formulation obtains an average optimized gap of 8.95%. Implications for theory and practice The MILP formulation obtains acceptable results. Moreover, we found that all the instances accepted the requirements showing that it is economically interesting to lease docks.", "keywords": [ "Lease", "Truck", "Scheduling (production processes)", "Operations research", "Solver", "Integer programming", "Job shop scheduling", "Computer science", "Mathematical optimization", "Engineering", "Operations management", "Business" ], "cited_by_openalex": 3, "cited_by_scopus": "3", "eid": "2-s2.0-85124370311", "pii": null, "open_access_url": "https://www.scielo.br/j/prod/a/jLBbNjWQrX5jYmV3dgcZFSQ/?lang=en&format=pdf", "sources": [ { "db": "openalex", "stream": "TRUCK", "query_id": "TRUCK-3" }, { "db": "scopus", "stream": "TRUCK", "query_id": "TRUCK-3" } ], "streams": [ "TRUCK" ], "relevance_signals": [ "TRUCK_NO_CTX" ], "auto_exclude_reason": "EC-4-topic", "screening_status": "auto_excluded", "screened_by": "auto-v1.0.0" }, { "id": "doi:10.1016/j.trpro.2022.12.048", "doi": "10.1016/j.trpro.2022.12.048", "title": "Location-allocation problem in a multi-terminal cross-dock distribution network for palletized perishables delivery", "year": 2022, "authors": [ "Ilaria Battarra", "Riccardo Accorsi", "Giacomo Lupi", "Riccardo Manzini", "Gabriele Sirri" ], "first_author": "Ilaria Battarra", "venue": "Transportation research procedia", "volume": "67", "pages": "172-181", "type": "article", "language": "en", "abstract": "A multi-terminal cross-dock distribution network deals with widespread suppliers through intermediate logistic actors that collect products from supplier facilities and use cross-docking hubs for consolidation and distribution. In these hubs, incoming products are unloaded, sorted, and consolidated with others into new shipments heading towards retailers and final customers. This type of network is suitable for the express delivery of fast-moving products, such as perishables, guaranteeing shipment within a short time window (e.g., one day). The strategic design of a multi-terminal cross-dock network deals with solving the location-allocation problem (LAP) because hub location and flow allocation play a pivotal role in reducing transportation time and cost. This paper proposes a mixed-integer linear programming (MILP) model that solves the strategic problem of a multi-terminal cross-dock network design for perishables in an augmented LAP formulation. The aim is to exploit the potential hub location and handling capacity (i.e., location problem ), as well as the optimal destination hub for unloading/loading operations (i.e., allocation problem ) per truck, while minimizing the total logistics costs and increasing truck utilization. The proposed model is applied to a cross-dock multi-terminal network owned by an Italian company specializing in the fast delivery of palletized perishable products. A comparative what-if multi-scenario analysis illustrates the change in the traveling cost and truck utilization according to several factors, such as the opportunity to open (close) new (existing) hubs in Italy.", "keywords": [ "Truck", "DOCK", "Exploit", "Terminal (telecommunication)", "Integer programming", "Network planning and design", "Flow network", "Computer science", "Operations research", "Transport engineering", "Computer network", "Engineering" ], "cited_by_openalex": 5, "cited_by_scopus": "3", "eid": "2-s2.0-85159123666", "pii": "S235214652200775X", "open_access_url": "https://doi.org/10.1016/j.trpro.2022.12.048", "sources": [ { "db": "openalex", "stream": "TRUCK", "query_id": "TRUCK-3" }, { "db": "scopus", "stream": "TRUCK", "query_id": "TRUCK-3" } ], "streams": [ "TRUCK" ], "relevance_signals": [ "TRUCK_NO_CTX" ], "auto_exclude_reason": "EC-4-topic", "screening_status": "auto_excluded", "screened_by": "auto-v1.0.0" }, { "id": "doi:10.23939/tt2022.01.038", "doi": "10.23939/tt2022.01.038", "title": "Cross-docking cargo delivery routing for guaranteed minimum period", "year": 2022, "authors": [ "Myroslav Oliskevych", "Viktor Danchuk", "Oleksandr Mastykash" ], "first_author": "Myroslav Oliskevych", "venue": "Transport technologies", "volume": null, "pages": null, "type": "article", "language": "en", "abstract": "The article is devoted to the problem of effective use of cross-docking as a technology of cargo delivery with increased time requirements, which allows to resolve the contradictions of guaranteed delivery time ensuring and the efficiency of the existing fleet of trucks. The process of delivery organization is considered as the ordering on the transport network of many discrete freight flows in the form of their phases. If qualitative and / or quantitative changes do not occur from phase to phase with the flow, then the tact of such flow is constant. However, cross-docking flows change the size of the band of moving goods. Cargo can be moved as intended by any group size, which, however, is limited by the maximum and minimum values. A two-stage algorithm for solving the problem has been developed. The transport network is represented as a graph. The content of the route search problem is optimization, as it consists of multiple selections from the initial graph of arcs in the presence of restrictions on input and output flows. One needs to replace every each edge of the graph with an arc of the forward or reverse direction, or remove this edge. The criterion for the optimal solution of the problem, which is applied, is the minimum guaranteed duration of delivery of goods throughout the set of specified freight flows. At the first stage of the algorithm, the search for the shortest paths in the graph is performed, along which every given cargo flow can pass. The first stage of optimization is a linear problem of integer programming, the dimension of which is not too large. The initial data of the second stage is freight flows matrix, which is obtained as a result of optimization in the first stage. The content of the second stage of the algorithm is the solution of the equation of the balance of discrete goods flows. The balance equation means that all flows entering each peak including the sources of cargo flows of this peak have an average intensity equal to the intensity of the outgoing cargo flows from each source peak, including runoff. Due to the studied dependencies between the individual phases of the delivery process on the example of a cargo carrier on the transport network of Ukraine, the formulated restrictions and boundary conditions, the possibility of guaranteed accurate solution of a complex problem is obtained. At the same time, the shortest routes were found, reloading points were identified as well as time parameters of operation and the degree of loading of cars. According to the results of the research, a threefold increase in the productivity of the fleet of road trains with a reduction in the guaranteed delivery time by 30%.", "keywords": [ "Mathematical optimization", "Computer science", "Truck", "Flow network", "Graph", "Maximum flow problem", "Operations research", "Mathematics", "Engineering", "Theoretical computer science" ], "cited_by_openalex": 3, "cited_by_scopus": 0, "eid": null, "pii": null, "open_access_url": "https://science.lpnu.ua/sites/default/files/journal-paper/2022/may/27922/5myroslavoliskevychviktordanchukoleksandrmastykash.pdf", "sources": [ { "db": "openalex", "stream": "TRUCK", "query_id": "TRUCK-3" } ], "streams": [ "TRUCK" ], "relevance_signals": [ "TRUCK_NO_CTX" ], "auto_exclude_reason": "EC-4-topic", "screening_status": "auto_excluded", "screened_by": "auto-v1.0.0" }, { "id": "doi:10.5604/01.3001.0015.9177", "doi": "10.5604/01.3001.0015.9177", "title": "Determination of Truck Maintenance Allocation Scheme Based on SA-GA", "year": 2022, "authors": [ "Jiandong Qiu", "Wei Ren", "Minan Tang", "Panpan Ma", "Yang Zhang" ], "first_author": "Jiandong Qiu", "venue": "Archives of Transport", "volume": "63", "pages": "59-71", "type": "article", "language": "en", "abstract": "As an important department of railway transportation and production, large freight train depot is responsible for the regular overhaul and maintenance of railway trucks. The shunting operation of freight train depot covers the whole process of railway trucks entering, storing, overhauling and leaving the depot. It is an important step in the implemen-tation of the maintenance operation. Usually, shunting personnel in the depot transport the trucks to be overhauled to the maintenance line by relying on the shunting operation plan, which is the key to determine the shunting operation plan according to the distribution relationship between vehicles and maintenance. Firstly, this paper analyzes the process of centralized shunting operation in the freight train depot and the factors affecting the time-consuming based on the research idea of flexible workshop scheduling problem. Then, on the premise that the proportion of the weight coefficient will have an impact on the time-consuming of truck busy and shunting in the shunting process, and with the goal of minimizing the time-consuming of truck maintenance busy and shunting, the allocation model between trucks and maintenance lines is established; In addition, an improved genetic algorithm is proposed to solve the established model; Finally, combined with the maintenance of railway trucks in a large freight train depot, an example analysis is carried out on this basis. The results demonstrate that using simulated annealing genetic algorithm to solve the model can obtain the allocation scheme between railway trucks and maintenance operation line. Under the influence of three different coefficients, compared with genetic algorithm, simulated annealing genetic algorithm can reduce the deten-tion time of railway trucks in depot by 0.21%, 0.09% and 0.12% respectively, which is beneficial to reducing the deten-tion time of maintenance vehicles in depot, It plays a positive role in improving the maintenance efficiency of trucks in the depot, and also provides new ideas for the research of railway truck shunting operation.", "keywords": [ "Truck", "Shunting", "Scheduling (production processes)", "Transport engineering", "Genetic algorithm", "Engineering", "Operations research", "Process (computing)", "Computer science", "Automotive engineering", "Reliability engineering", "Operations management" ], "cited_by_openalex": 2, "cited_by_scopus": "3", "eid": "2-s2.0-85148470543", "pii": null, "open_access_url": "https://doi.org/10.5604/01.3001.0015.9177", "sources": [ { "db": "openalex", "stream": "TRUCK", "query_id": "TRUCK-3" }, { "db": "scopus", "stream": "TRUCK", "query_id": "TRUCK-3" } ], "streams": [ "TRUCK" ], "relevance_signals": [ "TRUCK_NO_CTX" ], "auto_exclude_reason": "EC-4-topic", "screening_status": "auto_excluded", "screened_by": "auto-v1.0.0" }, { "id": "doi:10.32604/cmc.2022.027967", "doi": "10.32604/cmc.2022.027967", "title": "A Truck Scheduling Problem for Multi-Crossdocking System with Metaheuristics", "year": 2022, "authors": [ "Phan Nguyen Ky Phuc", "Nguyễn Văn Thành", "Duong Bao Tram" ], "first_author": "Phan Nguyen Ky Phuc", "venue": "Computers, materials & continua/Computers, materials & continua (Print)", "volume": "72", "pages": "5165-5178", "type": "article", "language": "en", "abstract": "The cross-docking is a very important subject in logistics and supply chain managements. According to the definition, cross-docking is a process dealing with transhipping inventory, in which goods and products are unloaded from an inbound truck and process through a flow-center to be directly loaded onto an outbound truck. Cross-docking is favored due to its advantages in reducing the material handing cost, the needs to store the product in warehouse, as well decreasing the labor cost by eliminating packaging, storing, pick-location and order picking. In cross-docking, products can be consolidated and transported as a full load, reducing overall distribution costs. In this paper, we focus on a truck scheduling at the multi-door, multi-crossdocking network with inventory constraints and process capability constraints. In this model, a truck can visit severals docks for loading or unloading many types products. This situation is very common in reality. This study also developed an exact mathematical model using mixed-integer linear programming (MILP) with the objective of minimizing the makespan to obtaint the benchmark in small scale problems. Large scale problems are solved through Simulated Annealing (SA) algorithm and Tabu Search (TS) algorithm. Performance of these algorithms will be compared to benchmarks obtained from solver as well as to each other.", "keywords": [ "Truck", "Tabu search", "Computer science", "Job shop scheduling", "Metaheuristic", "Simulated annealing", "Solver", "Scheduling (production processes)", "Integer programming", "Supply chain", "Mathematical optimization", "Engineering" ], "cited_by_openalex": 0, "cited_by_scopus": "3", "eid": "2-s2.0-85128698714", "pii": null, "open_access_url": "https://file.techscience.com/ueditor/files/cmc/TSP_CMC-72-3/TSP_CMC_27967/TSP_CMC_27967.pdf", "sources": [ { "db": "openalex", "stream": "TRUCK", "query_id": "TRUCK-3" }, { "db": "scopus", "stream": "TRUCK", "query_id": "TRUCK-3" } ], "streams": [ "TRUCK" ], "relevance_signals": [ "TRUCK_NO_CTX" ], "auto_exclude_reason": "EC-4-topic", "screening_status": "auto_excluded", "screened_by": "auto-v1.0.0" }, { "id": "doi:10.1007/978-3-031-16579-5_18", "doi": "10.1007/978-3-031-16579-5_18", "title": "The Dynamic Drone Scheduling Delivery Problem", "year": 2022, "authors": [ "Giovanni Campuzano", "Eduardo Lalla‐Ruiz", "Martijn Mes" ], "first_author": "Giovanni Campuzano", "venue": "Lecture notes in computer science", "volume": "13557 LNCS", "pages": "260-274", "type": "conference-paper", "language": "en", "abstract": null, "keywords": [ "Drone", "Markov decision process", "Reinforcement learning", "Computer science", "Operations research", "Scheduling (production processes)", "Dynamic programming", "Dynamic priority scheduling", "Heuristic", "Mathematical optimization", "Markov process", "Operations management" ], "cited_by_openalex": 4, "cited_by_scopus": "3", "eid": "2-s2.0-85138802985", "pii": null, "open_access_url": "https://ris.utwente.nl/ws/files/286497207/978_3_031_16579_5_18.pdf", "sources": [ { "db": "openalex", "stream": "UAV", "query_id": "UAV-1" }, { "db": "scopus", "stream": "UAV", "query_id": "UAV-1" } ], "streams": [ "UAV" ], "relevance_signals": [ "UAV_NO_CTX" ], "auto_exclude_reason": "EC-4-topic", "screening_status": "auto_excluded", "screened_by": "auto-v1.0.0" }, { "id": "doi:10.1149/10701.0341ecst", "doi": "10.1149/10701.0341ecst", "title": "A Comprehensive Review on Involvement of Drones in Covid-19 Pandemics", "year": 2022, "authors": [ "Ruby Mishra" ], "first_author": "Ruby Mishra", "venue": "ECS Transactions", "volume": "107", "pages": "341-351", "type": "conference-paper", "language": "en", "abstract": "The core idea of the paper is to create a multi-purpose drone/unmanned aerial vehicle which are used to counter challenges faced by COVID-19. Our work is structured to give insights into our theory method with a constructive form of qualitative research. This work's main contribution lies in the comparative study of many research articles based on the use of drone in different fields specially in sanitization of a large area in a stipulated period, thermal screening of people and storing their temperature recorded data in cloud, AI implementation in order to detect abnormal pattern of coughing, heart rate, etc., and delivery of medicines and necessary essential to quarantined people and migrants this will cause a large-scale implementation of drone delivery may drastically change the business, substituting hundreds of workers, fossil-fuel-powered delivery vehicles, traffic congestion, and centralized distribution centers of drone, which performs point A to point B parcel delivery. The challenges faced by drone and its operators during active mission are studied. This study will help others who are new to drones in the COVID and medical field.", "keywords": [ "Drone", "Coronavirus disease 2019 (COVID-19)", "Constructive", "Pandemic", "Work (physics)", "Computer science", "Computer security", "Field (mathematics)", "2019-20 coronavirus outbreak", "Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2)", "Operations research", "Aeronautics" ], "cited_by_openalex": 4, "cited_by_scopus": "3", "eid": "2-s2.0-85130530339", "pii": null, "open_access_url": "https://doi.org/10.1149/10701.0341ecst", "sources": [ { "db": "openalex", "stream": "UAV", "query_id": "UAV-1" }, { "db": "scopus", "stream": "UAV", "query_id": "UAV-1" } ], "streams": [ "UAV" ], "relevance_signals": [ "UAV" ], "auto_exclude_reason": null, "screening_status": "pending_human_screening", "screened_by": "auto-v1.0.0" }, { "id": "doi:10.21203/rs.3.rs-2365573/v1", "doi": "10.21203/rs.3.rs-2365573/v1", "title": "Evaluating the sustainability of lightweight drones for delivery: towards a suitable methodology for assessment", "year": 2022, "authors": [ "Sinéad Mitchell", "Juliana Steinbach", "Tomás Flanagan", "Pouyan Ghabezi", "Noel M. Harrison", "Simon O’Reilly", "Stephen Killian", "William G. Finnegan" ], "first_author": "Sinéad Mitchell", "venue": "Research Square", "volume": null, "pages": null, "type": "preprint", "language": "en", "abstract": "Abstract Drone technology is widely available and is rapidly becoming a crucial instrument in the functions of businesses and government agencies worldwide. The demand for delivery services is accelerating particularly since the Covid-19 pandemic. Both companies and customers want these services to be efficient, timely, safe, and sustainable, but these are major challenges. Last-mile delivery by lightweight short-range drones has the potential to address these challenges. However, there is a lack of consistency and transparency in assessing and reporting the sustainability of last-mile delivery services and drones. This paper critically reviews published assessments (specifically lifecycle assessment and circularity). The study reveals a lack of comprehensive studies, and a need to examine composite and battery manufacturing developments and provides key considerations for future study development.", "keywords": [ "Drone", "Sustainability", "Transparency (behavior)", "Business", "Government (linguistics)", "Consistency (knowledge bases)", "Last mile (transportation)", "Pandemic", "Risk analysis (engineering)", "Coronavirus disease 2019 (COVID-19)", "Process management", "Mile" ], "cited_by_openalex": 3, "cited_by_scopus": 0, "eid": null, "pii": null, "open_access_url": "https://www.researchsquare.com/article/rs-2365573/latest.pdf", "sources": [ { "db": "openalex", "stream": "UAV", "query_id": "UAV-1" } ], "streams": [ "UAV" ], "relevance_signals": [ "UAV" ], "auto_exclude_reason": null, "screening_status": "pending_human_screening", "screened_by": "auto-v1.0.0" }, { "id": "doi:10.1109/wf-iot54382.2022.10152064", "doi": "10.1109/wf-iot54382.2022.10152064", "title": "Enhancing UAV Flight Safety through Sensor-based Runtime Risk Assessment", "year": 2022, "authors": [ "Yong Zhi Lim", "Xin Xin", "Teck Ping Khoo" ], "first_author": "Yong Zhi Lim", "venue": "2022 IEEE 8th World Forum on Internet of Things Wf Iot 2022", "volume": null, "pages": null, "type": "conference-paper", "language": "en", "abstract": "Unmanned Aerial Vehicles (UAVs, commonly re-ferred to as drones) are increasingly used in applications such as facade inspection, aerial photography, last mile delivery, and public safety. Such applications demand that the drone operates in close proximity to buildings and people, therefore posing a safety hazard. Drone flight safety currently rests on a static, one-off risk assessment prior to the flight, and safe flight execution with strict compliance to prevailing drone regulations. The static risk assessment can effectively identify risks and mitigating control measures prior to the flight, but needs to be performed regularly to ensure safety. Safe flight execution involves ensuring airspace clearance, correct drone safety settings, piloting the drone with high situational awareness, and frequently, concurrently controlling the drone payload (such as a camera) effectively. Performing the safety risk assessment is a one-off process and does not scale well, while it can be challenging to ensure all aspects of safe drone operation are covered during flight. In order to address these two pain points, we propose sensor-based runtime risk assessment. All relevant raw drone sensor readings, such as inertial measurement unit (IMU) and microelectromechanical (MEMS), are streamed into a rules engine during runtime. These readings are then used to calculate the drone's state over a historical sliding window, which is then used to compute a risk level that is comparable with prevailing drone standards. Our proposal digitises and automates risk assessment during runtime, can be customised to the risk assessment policy in different jurisdictions, has the potential to be inter-operable with different drone models, and is highly scalable. Most importantly, drone flight safety is significantly enhanced as the drone pilot will have the runtime risk level of the drone flight as a reference during flight We illustrate our proposal using actual data obtained from a DJI Matrice 300 RTK drone.", "keywords": [ "Drone", "Situation awareness", "Computer science", "Inertial measurement unit", "Aeronautics", "Risk assessment", "Computer security", "Engineering", "Artificial intelligence", "Aerospace engineering" ], "cited_by_openalex": 5, "cited_by_scopus": "3", "eid": "2-s2.0-85164155109", "pii": null, "open_access_url": "https://doi.org/10.1109/wf-iot54382.2022.10152064", "sources": [ { "db": "openalex", "stream": "UAV", "query_id": "UAV-1" }, { "db": "scopus", "stream": "UAV", "query_id": "UAV-1" } ], "streams": [ "UAV" ], "relevance_signals": [ "UAV" ], "auto_exclude_reason": null, "screening_status": "pending_human_screening", "screened_by": "auto-v1.0.0" }, { "id": "doi:10.54097/fbem.v4i1.410", "doi": "10.54097/fbem.v4i1.410", "title": "Cold Chain Logistics UAV Path Optimization Enlightenment", "year": 2022, "authors": [ "Hongxia Miao" ], "first_author": "Hongxia Miao", "venue": "Frontiers in Business Economics and Management", "volume": null, "pages": null, "type": "article", "language": "en", "abstract": "As the market size of cold chain logistics in China grows year by year, consumers have significantly improved their requirements for the quality of cold chain items. Meanwhile, national laws and policies supporting the development of cold chain logistics have been introduced successively, which makes the field related to cold chain logistics develop rapidly. However, there are some problems in the development of the cold chains, such as waste of logistics data supervision and high cost of logistics distribution. Especially in the critical situation of the epidemic, the \"last mile\" delivery without contact is advocated, and the transportation time of cold-chain vehicles is long and the cost is high, which causes great resistance to solving the \"last mile\". This paper puts forward the corresponding enlightenment according to the relevant literature.", "keywords": [ "Cold chain", "Enlightenment", "Business", "Mile", "Chain (unit)", "Path (computing)", "China", "Supply chain", "Quality (philosophy)", "Operations management", "Transport engineering", "Computer science" ], "cited_by_openalex": 3, "cited_by_scopus": 0, "eid": null, "pii": null, "open_access_url": "https://drpress.org/ojs/index.php/fbem/article/download/410/352", "sources": [ { "db": "openalex", "stream": "UAV", "query_id": "UAV-1" } ], "streams": [ "UAV" ], "relevance_signals": [ "UAV" ], "auto_exclude_reason": null, "screening_status": "pending_human_screening", "screened_by": "auto-v1.0.0" }, { "id": "doi:10.1109/icns54818.2022.9771495", "doi": "10.1109/icns54818.2022.9771495", "title": "Preliminary Environmental Risk Consideration for Small UAV Ground Risk Mapping", "year": 2022, "authors": [ "Chung Han Jie", "Mohd Hasrizam Che Man", "Anush Kumar Sivakumar", "Kin Huat Low" ], "first_author": "Chung Han Jie", "venue": "Integrated Communications Navigation and Surveillance Conference Icns", "volume": "2022-April", "pages": null, "type": "conference-paper", "language": "en", "abstract": "Small unmanned aerial vehicles (sUAV) or 'drones' are projected to rapidly develop in the future and be employed for a multitude of applications such as parcel delivery, search and rescue, surveillance monitoring, and farming. Consequently, an increase in sUAV traffic may lead to a higher likelihood of failure, and crash occur primarily due to environmental factors. Hence, the objective of this study was to investigate the influence of environmental factors on sUAV operations.The study identifies three environmental risk categories relevant to Singapore’s context, namely weather, obstacle, and signal. Subsequently, Python code was developed to perform data analysis on environmental risk data gathered from open source, relevant agencies, and literature surveys. Three environmental risk factors were considered for proof of concept, namely rainfall, windspeed, bird population, and cell tower signal strength.From the data analysis, the average daily rainfall across weather stations in Singapore was observed to be 8.58 mm. In August, weather stations in West of Singapore, such as Choa Chu Kang and Tengah, reported the highest rainfall, approximately 22.65 mm. In contrast, weather stations in the East such as Changi and Pasir Ris reported the lowest rainfall near 0.036 mm in February. Data of the three most invasive bird species in Singapore was examined. The site of Chinese Garden in West Singapore reported the highest bird population of 432 birds per site. The study of bird population data potentially provides an insight into the possibility of sUAV bird strike events. Similarly, signal strength data from cell towers in Singapore was studied.Overall environmental risk-tiering can be visualized using all the analyzed environmental factors data on a risk map. The regions with high rainfall, increased bird population per site and strong signal interference can be extracted.These high-risk locations can be expected to be more hazardous for sUAVs to fly in. Findings for environmental risk-tiering and risk-mapping are preliminary and based on the available environmental data as identified in this study. Further research will be done to include other environmental risk factors and to generate better accuracy of the environmental risk-tier map. Insights from this study will facilitate the demarcation of low, medium, and high-risk areas for risk assessment of sUAVs operation in Singapore.", "keywords": [ "Population", "Geography", "Context (archaeology)", "Python (programming language)", "Environmental science", "Environmental data", "Extreme weather", "Climate change", "Ecology", "Computer science" ], "cited_by_openalex": 3, "cited_by_scopus": "3", "eid": "2-s2.0-85130748181", "pii": null, "open_access_url": "https://dr.ntu.edu.sg/bitstream/10356/160547/2/ICNS_Submission_Mar7.pdf", "sources": [ { "db": "openalex", "stream": "UAV", "query_id": "UAV-1" }, { "db": "scopus", "stream": "UAV", "query_id": "UAV-1" } ], "streams": [ "UAV" ], "relevance_signals": [ "UAV" ], "auto_exclude_reason": null, "screening_status": "pending_human_screening", "screened_by": "auto-v1.0.0" }, { "id": "doi:10.1109/ispa-bdcloud-socialcom-sustaincom57177.2022.00055", "doi": "10.1109/ispa-bdcloud-socialcom-sustaincom57177.2022.00055", "title": "A Novel Adaptive Computation Offloading Strategy for Collaborative DNN Inference over Edge Devices", "year": 2022, "authors": [ "Yansong Zhang", "Xiao Liu", "Xu Jia", "Dong Yuan", "Xuejun Li" ], "first_author": "Yansong Zhang", "venue": "Proceedings 20th IEEE International Symposium on Parallel and Distributed Processing with Applications 12th IEEE International Conference on Big Data and Cloud Computing 12th IEEE International Conference on Sustainable Computing and Communications and 15th IEEE International Conference on Social Computing and Networking Ispa Bdcloud Socialcom Sustaincom 2022", "volume": null, "pages": "378-385", "type": "conference-paper", "language": "en", "abstract": "With the breakthrough of deep learning technology and the rapid growth of Internet of Things (IoT'), a fast-increasing number of artificial intelligence (AI) applications are being widely used in many smart IoT systems. Taking the UAV last mile delivery system as an example, UAVs require the assistance of various AI applications such as object detection and route planning during the delivery process. However, provisioning AI services over the cloud computing environment are facing many challenges such as network congestion and high latency. To tackle these challenges, edge computing has emerged as a new computing paradigm where computing resources are provisioned closer to the end devices from the network edge. In this paper, combined with the edge computing-based UAV last mile delivery scenario, we focus on the computation offloading problem for deep learning-based applications at the inference stage. A novel computation offloading strategy for multi-device collaborative pipelining processing of deep neural networks (DNNs) tasks called CoDNN is proposed. First, when the DNN inference task is generated, CoDNN will predict the execution time for each layer of the DNN and model the process of DNN inference. Second, CoDNN will use the offloading partitioning algorithm based on Particle Swarm Optimization (PSO) to determine the target computing resources and assign them to appropriate workloads. Specifically, we explore the impact of different computing environments on the performance of CoDNN and show its advantages over other representative computation offloading strategies.", "keywords": [ "Computer science", "Computation offloading", "Edge computing", "Edge device", "Cloud computing", "Distributed computing", "Provisioning", "Inference", "Deep learning", "Artificial intelligence", "Enhanced Data Rates for GSM Evolution", "Artificial neural network" ], "cited_by_openalex": 3, "cited_by_scopus": "3", "eid": "2-s2.0-85151952432", "pii": null, "open_access_url": "https://doi.org/10.26187/deakin.32739231", "sources": [ { "db": "openalex", "stream": "UAV", "query_id": "UAV-1" }, { "db": "scopus", "stream": "UAV", "query_id": "UAV-1" } ], "streams": [ "UAV" ], "relevance_signals": [ "UAV" ], "auto_exclude_reason": null, "screening_status": "pending_human_screening", "screened_by": "auto-v1.0.0" }, { "id": "doi:10.1117/12.2638778", "doi": "10.1117/12.2638778", "title": "Three-dimensional Euler solutions for drone delivery trajectory prediction under extreme environments", "year": 2022, "authors": [ "Shiven Hu", "Greg Mayer" ], "first_author": "Shiven Hu", "venue": "2nd International Conference on Applied Mathematics, Modelling, and Intelligent Computing (CAMMIC 2022)", "volume": "12259", "pages": null, "type": "conference-paper", "language": "en", "abstract": "Unmanned aerial vehicles, or drones, offer the advantages to reduce the cost and time of delivering. However, efficient routing, especially in extreme conditions, is a prominent issue for unmanned delivery with drones and little work has been done to solve the routing problems. In this paper, we are going to consider the problem of the trajectory of drones under extreme weather because drone delivery typically faces with unexpected events such as wind from different directions which can affect the trajectory of the drone. The Euler method is used to do the numerical analysis to predict the trajectory. Numerical results show that the difference between the accurate solution and the numerical values is acceptable.", "keywords": [ "Drone", "Trajectory", "Computer science", "Routing (electronic design automation)", "Euler's formula", "Euler equations", "Aerospace engineering", "Mathematics", "Engineering", "Physics", "Computer network" ], "cited_by_openalex": 4, "cited_by_scopus": "3", "eid": "2-s2.0-85132744135", "pii": null, "open_access_url": "https://doi.org/10.1117/12.2638778", "sources": [ { "db": "openalex", "stream": "UAV", "query_id": "UAV-2" }, { "db": "scopus", "stream": "UAV", "query_id": "UAV-2" } ], "streams": [ "UAV" ], "relevance_signals": [ "UAV_NO_CTX" ], "auto_exclude_reason": "EC-4-topic", "screening_status": "auto_excluded", "screened_by": "auto-v1.0.0" }, { "id": "doi:10.2139/ssrn.4271364", "doi": "10.2139/ssrn.4271364", "title": "Drone Fleet Deployment Optimization for Direct Delivery with Time Windows and Battery Replacements", "year": 2022, "authors": [ "Tanveer Hossain Bhuiyan", "Mohammad Roni", "Victor Walker" ], "first_author": "Tanveer Hossain Bhuiyan", "venue": "SSRN Electronic Journal", "volume": null, "pages": null, "type": "preprint", "language": "en", "abstract": null, "keywords": [ "Software deployment", "Battery (electricity)", "Drone", "Computer science", "Automotive engineering", "Engineering", "Aeronautics", "Operating system", "Physics", "Biology" ], "cited_by_openalex": 3, "cited_by_scopus": 0, "eid": null, "pii": null, "open_access_url": "https://doi.org/10.2139/ssrn.4271364", "sources": [ { "db": "openalex", "stream": "UAV", "query_id": "UAV-2" }, { "db": "openalex", "stream": "UAV", "query_id": "UAV-3" } ], "streams": [ "UAV" ], "relevance_signals": [ "UAV_NO_CTX" ], "auto_exclude_reason": "EC-4-topic", "screening_status": "auto_excluded", "screened_by": "auto-v1.0.0" }, { "id": "doi:10.1109/ccdc55256.2022.10034189", "doi": "10.1109/ccdc55256.2022.10034189", "title": "Multi-objective traveling salesman problem with drone: imperialist competitive algorithm", "year": 2022, "authors": [ "Huan Xiong", "Deming Lei", "Ming Li" ], "first_author": "Huan Xiong", "venue": "2022 34th Chinese Control and Decision Conference (CCDC)", "volume": null, "pages": "3635-3640", "type": "conference-paper", "language": "en", "abstract": "Truck-drone delivery is a hybrid one combining the advantages of truck including large capacity and long travel distance and those of drone like high speed together and attracting much attention in the past several years. The usage of this delivery leads to some generalized routing problems such as traveling salesman problem with drone (TSP-D). TSP-D has been considered fully since the pioneering work of Murray and Chu (2015); however, multi-objective TSP-D is seldom investigated and the applications of meta-heuristics are limited. In this paper, multi-objective TSP-D is addressed and an imperialist competitive algorithm with empire cooperation (ECICA) is developed to minimize operational cost and completion time. In ECICA, a coding method with a truck’s path and a set of drone nodes and an effective decoding are presented, and an adaptive empire cooperation between the strongest empire and the weakest one is implemented by exchanging computing resources and search ability. Historical evolution data are used and a new imperialist competition is adopted. Numerical experiments are conducted on various instances. ECICA is compared with comparative algorithms from the literature. The computational results reveal that ECICA has promising advantages on solving multi-objective TSP-D.", "keywords": [ "Travelling salesman problem", "Drone", "Heuristics", "Computer science", "Truck", "2-opt", "Mathematical optimization", "Algorithm", "Mathematics", "Engineering" ], "cited_by_openalex": 2, "cited_by_scopus": "3", "eid": "2-s2.0-85149511630", "pii": null, "open_access_url": "https://doi.org/10.1109/ccdc55256.2022.10034189", "sources": [ { "db": "openalex", "stream": "UAV", "query_id": "UAV-2" }, { "db": "scopus", "stream": "UAV", "query_id": "UAV-2" } ], "streams": [ "UAV" ], "relevance_signals": [ "UAV_NO_CTX", "TRUCK_NO_CTX" ], "auto_exclude_reason": "EC-4-topic", "screening_status": "auto_excluded", "screened_by": "auto-v1.0.0" }, { "id": "doi:10.1177/1748006x221105395", "doi": "10.1177/1748006x221105395", "title": "A two-stage UAV routing problem with time window considering rescheduling with random delivery reliability", "year": 2022, "authors": [ "Rui Qi Yan", "Haotong Tian", "Kaiye Gao", "Rui Peng", "Bin Liu" ], "first_author": "Rui Qi Yan", "venue": "Proceedings of the Institution of Mechanical Engineers Part O Journal of Risk and Reliability", "volume": "237", "pages": "781-797", "type": "article", "language": "en", "abstract": "Reliability is an important metric for unmanned aerial vehicles (UAVs) to perform important, complex, and dangerous tasks. In addition, reliability influences the operational cost in UAVs routing. In order to reduce the operational cost of UAVs tasks, a method of routing strategy optimization is proposed from a view of mission reliability in this paper to address the limitations in routing scheduling. Different from previous studies on the UAVs routing optimization problem, this paper proposes a method that can reduce the operational costs of UAVs tasks based on the mission reliability. This method includes two stages: the pre-optimization stage and the rescheduling stage. In the pre-optimization stage, an optimal UAVs route solution is obtained for all the targets, while in the rescheduling stage, new UAVs are dispatched to the unvisited targets in the pre-optimization stage based on the new optimal UAVs route.", "keywords": [ "Reliability (semiconductor)", "Computer science", "Routing (electronic design automation)", "Scheduling (production processes)", "Metric (unit)", "Reliability engineering", "Real-time computing", "Engineering", "Computer network", "Operations management" ], "cited_by_openalex": 2, "cited_by_scopus": "3", "eid": "2-s2.0-85132023880", "pii": null, "open_access_url": "https://doi.org/10.1177/1748006x221105395", "sources": [ { "db": "openalex", "stream": "UAV", "query_id": "UAV-2" }, { "db": "scopus", "stream": "UAV", "query_id": "UAV-2" } ], "streams": [ "UAV" ], "relevance_signals": [ "UAV_NO_CTX" ], "auto_exclude_reason": "EC-4-topic", "screening_status": "auto_excluded", "screened_by": "auto-v1.0.0" }, { "id": "doi:10.1109/wsc57314.2022.10015320", "doi": "10.1109/wsc57314.2022.10015320", "title": "An Adaptive Large Neighborhood Search Algorithm for Wind Farm Inspection Using a Truck with a Drone", "year": 2022, "authors": [ "Wenyu Tao", "Xinjia Jiang", "Dongqiang Zhao" ], "first_author": "Wenyu Tao", "venue": "Proceedings Winter Simulation Conference", "volume": "2022-December", "pages": "1473-1484", "type": "conference-paper", "language": "en", "abstract": "With the increasing demand for energy, wind power as a new energy source has been widely used and developed on a large scale. To extend the life of wind turbines, it is necessary but difficult to carry out regular inspections in wind farms located in remote areas. This paper studied the clustering and routing problem of truck-drone joint inspection of wind farms. An Adaptive Large Neighborhood Search (ALNS) algorithm is designed based on the characteristics of this problem. In addition, wind farm instances with different sizes and distributions are generated in this paper to simulate realistic scenes and evaluate ALNS. Finally, real wind farm instances are tested to demonstrate the inspection time in detail. Computational experiments show ALNS can improve significantly inspection time compared with another method.", "keywords": [ "Drone", "Wind power", "Truck", "Cluster analysis", "Computer science", "Scale (ratio)", "Wind speed", "Routing (electronic design automation)", "Real-time computing", "Algorithm", "Simulation", "Automotive engineering" ], "cited_by_openalex": 1, "cited_by_scopus": "3", "eid": "2-s2.0-85147431180", "pii": null, "open_access_url": "http://dx.doi.org/10.1109/wsc57314.2022.10015320", "sources": [ { "db": "openalex", "stream": "UAV", "query_id": "UAV-2" }, { "db": "scopus", "stream": "UAV", "query_id": "UAV-2" } ], "streams": [ "UAV" ], "relevance_signals": [ "UAV_NO_CTX", "TRUCK_NO_CTX" ], "auto_exclude_reason": "EC-4-topic", "screening_status": "auto_excluded", "screened_by": "auto-v1.0.0" }, { "id": "doi:10.48550/arxiv.2209.08533", "doi": "10.48550/arxiv.2209.08533", "title": "RACER: Rapid Collaborative Exploration with a Decentralized Multi-UAV System", "year": 2022, "authors": [ "Boyu Zhou", "Hao Xu", "Shaojie Shen" ], "first_author": "Boyu Zhou", "venue": "arXiv (Cornell University)", "volume": null, "pages": null, "type": "preprint", "language": "en", "abstract": "Although the use of multiple Unmanned Aerial Vehicles (UAVs) has great potential for fast autonomous exploration, it has received far too little attention. In this paper, we present RACER, a RApid Collaborative ExploRation approach using a fleet of decentralized UAVs. To effectively dispatch the UAVs, a pairwise interaction based on an online hgrid space decomposition is used. It ensures that all UAVs simultaneously explore distinct regions, using only asynchronous and limited communication. Further, we optimize the coverage paths of unknown space and balance the workloads partitioned to each UAV with a Capacitated Vehicle Routing Problem(CVRP) formulation. Given the task allocation, each UAV constantly updates the coverage path and incrementally extracts crucial information to support the exploration planning. A hierarchical planner finds exploration paths, refines local viewpoints and generates minimum-time trajectories in sequence to explore the unknown space agilely and safely. The proposed approach is evaluated extensively, showing high exploration efficiency, scalability and robustness to limited communication. Furthermore, for the first time, we achieve fully decentralized collaborative exploration with multiple UAVs in real world. We will release our implementation as an open-source package.", "keywords": [ "Scalability", "Computer science", "Robustness (evolution)", "Asynchronous communication", "Distributed computing", "Planner", "Viewpoints", "Pairwise comparison", "Real-time computing", "Artificial intelligence", "Computer network", "Database" ], "cited_by_openalex": 3, "cited_by_scopus": 0, "eid": null, "pii": null, "open_access_url": "https://arxiv.org/pdf/2209.08533", "sources": [ { "db": "openalex", "stream": "UAV", "query_id": "UAV-2" } ], "streams": [ "UAV" ], "relevance_signals": [ "UAV_NO_CTX" ], "auto_exclude_reason": "EC-4-topic", "screening_status": "auto_excluded", "screened_by": "auto-v1.0.0" }, { "id": "doi:10.1080/19475705.2022.2115407", "doi": "10.1080/19475705.2022.2115407", "title": "Location of disaster assessment UAVs using historical tornado data", "year": 2022, "authors": [ "Sean Grogan", "Nathalie Perrier", "Michel Gamache", "Robert Pellerin" ], "first_author": "Sean Grogan", "venue": "Geomatics Natural Hazards and Risk", "volume": "13", "pages": "2385-2404", "type": "article", "language": "en", "abstract": "Preparing and responding to disasters is a complicated task. One must balance coverage of SAR resources versus preparation cost. This article presents a method and solution to prepositioning UAV damage assessment and search teams in Oklahoma using historical tornado data. The approach is based on set covering and multi-station vehicle routing models. It also presents a method to robustify the solution in the event a UAV team cannot be activated to respond to the disaster. This can simulate a team unable to respond. Results show 70% more stations and teams being required when chance of a depot failure goes from 0 to 5% and 90% more stations required when 0–10%. We find that when trying to use a solution that does not account for depot failure, the system of UAVs cannot meet search completion targets in 3–4% of cases. These results demonstrate accounting for the chance of teams not being able to respond to domestic disasters is important and failing to do so means an increased chance of not being able to respond adequately to disasters and incorporating the chance of station failure has a profound impact on the number of stations needed.", "keywords": [ "Tornado", "Event (particle physics)", "Computer science", "Operations research", "Set (abstract data type)", "Task (project management)", "Engineering", "Geography", "Meteorology" ], "cited_by_openalex": 3, "cited_by_scopus": "3", "eid": "2-s2.0-85138173690", "pii": null, "open_access_url": "https://doi.org/10.1080/19475705.2022.2115407", "sources": [ { "db": "openalex", "stream": "UAV", "query_id": "UAV-2" }, { "db": "scopus", "stream": "UAV", "query_id": "UAV-2" } ], "streams": [ "UAV" ], "relevance_signals": [ "UAV_NO_CTX" ], "auto_exclude_reason": "EC-4-topic", "screening_status": "auto_excluded", "screened_by": "auto-v1.0.0" }, { "id": "doi:10.1109/icus55513.2022.9986599", "doi": "10.1109/icus55513.2022.9986599", "title": "Multi-Area Complete Coverage with Fixed-Wing UAV Swarms Based on Modified Ant Colony Algorithm", "year": 2022, "authors": [ "Yueqian Liang", "Yi Yang", "Yanjie Zhao" ], "first_author": "Yueqian Liang", "venue": "2022 IEEE International Conference on Unmanned Systems (ICUS)", "volume": null, "pages": "732-737", "type": "conference-paper", "language": "en", "abstract": "As a typical application, multiple unmanned aerial vehicles (UAVs) are usually sent to search for possible targets in chosen areas. In this paper, the multi-area complete coverage problem using fixed-wing UAV swarms is investigated, where the areas can be of arbitrary shape and size. For each area, its longitude direction, corresponding to the optimal sweep direction, is firstly found by the diameter function method, and is then used to compute the sweep waypoints. Observing that coverage gap and redundancy exist, we propose a waypoint adjustment procedure to achieve gap filling and redundancy eliminating. The problem can then be formulated as a multi-vehicle routing problem, and a modified ant colony algorithm is presented to address it. Finally a simulation example shows that 10 UAVs can cover 5 areas in 682.8 seconds.", "keywords": [ "Redundancy (engineering)", "Waypoint", "Computer science", "Ant colony optimization algorithms", "Algorithm", "Fixed wing", "Mathematical optimization", "Wing", "Real-time computing", "Mathematics", "Engineering", "Aerospace engineering" ], "cited_by_openalex": 3, "cited_by_scopus": "3", "eid": "2-s2.0-85146487373", "pii": null, "open_access_url": "https://doi.org/10.1109/icus55513.2022.9986599", "sources": [ { "db": "openalex", "stream": "UAV", "query_id": "UAV-2" }, { "db": "scopus", "stream": "UAV", "query_id": "UAV-2" } ], "streams": [ "UAV" ], "relevance_signals": [ "UAV_NO_CTX" ], "auto_exclude_reason": "EC-4-topic", "screening_status": "auto_excluded", "screened_by": "auto-v1.0.0" }, { "id": "doi:10.48550/arxiv.2204.11477", "doi": "10.48550/arxiv.2204.11477", "title": "Deep Reinforcement Learning for Online Routing of Unmanned Aerial Vehicles with Wireless Power Transfer", "year": 2022, "authors": [ "Kaiwen Li", "Tao Zhang", "Rui Wang", "Ling Wang" ], "first_author": "Kaiwen Li", "venue": "arXiv (Cornell University)", "volume": null, "pages": null, "type": "preprint", "language": "en", "abstract": "The unmanned aerial vehicle (UAV) plays an vital role in various applications such as delivery, military mission, disaster rescue, communication, etc., due to its flexibility and versatility. This paper proposes a deep reinforcement learning method to solve the UAV online routing problem with wireless power transfer, which can charge the UAV remotely without wires, thus extending the capability of the battery-limited UAV. Our study considers the power consumption of the UAV and the wireless charging process. Unlike the previous works, we solve the problem by a designed deep neural network. The model is trained using a deep reinforcement learning method offline, and is used to optimize the UAV routing problem online. On small and large scale instances, the proposed model runs from four times to 500 times faster than Google OR-tools, the state-of-the-art combinatorial optimization solver, with identical solution quality. It also outperforms different types of heuristic and local search methods in terms of both run-time and optimality. In addition, once the model is trained, it can scale to new generated problem instances with arbitrary topology that are not seen during training. The proposed method is practically applicable when the problem scale is large and the response time is crucial.", "keywords": [ "Reinforcement learning", "Computer science", "Flexibility (engineering)", "Solver", "Heuristic", "Wireless", "Routing (electronic design automation)", "Wireless power transfer", "Scale (ratio)", "Artificial intelligence", "Distributed computing", "Real-time computing" ], "cited_by_openalex": 3, "cited_by_scopus": 0, "eid": null, "pii": null, "open_access_url": "https://arxiv.org/pdf/2204.11477", "sources": [ { "db": "openalex", "stream": "UAV", "query_id": "UAV-2" } ], "streams": [ "UAV" ], "relevance_signals": [ "UAV_NO_CTX" ], "auto_exclude_reason": "EC-4-topic", "screening_status": "auto_excluded", "screened_by": "auto-v1.0.0" }, { "id": "doi:10.69554/tcgo6126", "doi": "10.69554/tcgo6126", "title": "eVTOLs and vertiports: Operations and infrastructure for a new and sustainable way to fly", "year": 2022, "authors": [ "Kevin R. Cox" ], "first_author": "Kevin R. Cox", "venue": "Journal of Airport Management", "volume": null, "pages": null, "type": "article", "language": "en", "abstract": "The world is on the cusp of a zero-carbon revolution in urban mobility. Within a few years, electric vertical take-off and landing aircraft (eVTOLs) and vertiports will be operational across the globe. This is new, uncharted territory which needs some guidelines to help airport operators understand the commercial impetus behind vertiport development, and what eVTOL operators believe this new market needs. In particular, airports will want to know how they can connect to, and benefit from, urban air mobility. This paper describes the three main business models that eVTOL operators are working towards. It explains why vertiport designers must accommodate all those approaches and more. It then goes into some detail describing the factors that influence the selection and development of a vertiport location, together with the operational and regulatory requirements. This paper emphasises the importance of working with local communities because a vertiport network can only be effective if it is embedded in the community. Throughout the paper, there is a particular emphasis on the role that airport operators can play in helping to build this new industry. It shows how they can tap into this market to improve their own connectivity, ease local congestion and potentially open up routes to new groups of passengers.", "keywords": [ "Business", "On the fly", "Computer science", "Operating system" ], "cited_by_openalex": 3, "cited_by_scopus": 0, "eid": null, "pii": null, "open_access_url": "https://doi.org/10.69554/tcgo6126", "sources": [ { "db": "openalex", "stream": "UAV", "query_id": "UAV-3" } ], "streams": [ "UAV" ], "relevance_signals": [ "UAV_NO_CTX" ], "auto_exclude_reason": "EC-4-topic", "screening_status": "auto_excluded", "screened_by": "auto-v1.0.0" }, { "id": "doi:10.4050/f-0078-2022-1152", "doi": "10.4050/f-0078-2022-1152", "title": "The Safety of Advanced Air Mobility and The Effects of Wind in the Urban Canyon", "year": 2022, "authors": [ "Sharon Schajnoha", "Dr Guy Larose", "Alanna S. Wall", "Hali Barber", "Maryam Al Labbad" ], "first_author": "Sharon Schajnoha", "venue": null, "volume": null, "pages": null, "type": "conference-paper", "language": "en", "abstract": "The safe integration of vertical takeoff and landing aircraft (VTOLs) into an urban setting requires careful consideration of the effects of the wind flows through the urban canyon, which are complex and cannot be predicted with the reliability level necessary to enable safe operations. The assessment of wind in the urban canyon is critical to the siting and design of vertiports and safe operations of VTOLs. Vertiport design guidance related to the effects of wind flows in the urban canyon is limited and draws from helipad design guidance. The guidance recommends that wind conditions be assessed across a vertiport, but the guidance does not suggest how the study should be conducted nor does it provide design thresholds for wind. RWDI, the National Research Council Canada and Transport Canada have joined forces to identify and study the wind characteristics that would be important for the aerodynamic performance of VTOL and how these characteristics would be influenced by buildings and structures in the urban environment. In the framework of this research effort, an experimental approach was developed, centered on several sites in Canadian cities, representing a range of urban densities and surrounding topographies, as wind conditions are highly dependent on the built environment, including building footprint, building features, combinations of buildings and the local climatology. The work involved a quantitative approach in which physical models of several urban sites were built, instrumented and tested in boundary layer wind tunnels. In the wind tunnel experiments, \"red flag\" wind conditions were identified and measured. Detailed data capturing these flow features were collected around roof tops of lower and taller buildings, representing prospective vertiport locations and along prospective flight paths. This paper provides the details of the wind tunnel testing conducted for one of the urban sites; a site with an existing helipad at a hospital and a low-rise parking garage. The wind tunnel measurements were compared to published helipad design thresholds and combined with long term meteorological conditions representative of the site to determine how often vertiport operations will be limited by unfavourable urban wind conditions on an annual basis and by season. The wind tunnel study provides a case study and demonstrates how to evaluate the safety of a vertiport now, based on limited availability of VTOL aerodynamic performance capabilities and into the future as more information becomes available on VTOL performance in turbulent winds.", "keywords": [ "Wind tunnel", "Aerodynamics", "Environmental science", "Canyon", "Meteorology", "Marine engineering", "Wind speed", "Footprint", "Wind direction", "Wind engineering", "Civil engineering", "Engineering" ], "cited_by_openalex": 3, "cited_by_scopus": 0, "eid": null, "pii": null, "open_access_url": "https://doi.org/10.4050/f-0078-2022-1152", "sources": [ { "db": "openalex", "stream": "UAV", "query_id": "UAV-3" } ], "streams": [ "UAV" ], "relevance_signals": [ "UAV_NO_CTX" ], "auto_exclude_reason": "EC-4-topic", "screening_status": "auto_excluded", "screened_by": "auto-v1.0.0" }, { "id": "doi:10.33012/2022.18322", "doi": "10.33012/2022.18322", "title": "Optimization of UWB Network Placement Using Genetic Algorithm Supporting Drone Taxi Landing in Ertiport", "year": 2022, "authors": [ "Doyeon Jung", "Euiho Kim" ], "first_author": "Doyeon Jung", "venue": "Proceedings of the Satellite Division's International Technical Meeting (Online)/Proceedings of the Satellite Division's International Technical Meeting (CD-ROM)", "volume": null, "pages": null, "type": "conference-paper", "language": "en", "abstract": "Accurate positioning of a drone taxi during takeoff and landing is a very important aspect regarding flight safety. However, in an urban environment where the demand of passenger is concentrated, it is difficult to obtain a reliable global navigation satellite system (GNSS) signal. Thus, the positioning result is unreliable. Therefore, we propose an ultra wideband (UWB) network on the vertiport to replace GNSS to obtain accurate positioning. Since the positioning performance of the UWB networks depends on the placement of UWB anchors, it is necessary to optimize the layout of UWB. The optimization process takes into account airborne UWB ranging error characteristics and Fresnel hole effects that depend on the received signal strength (RSS) such that the actual positioning accuracy of a drone taxi can be well predicted. In this paper, the landing path of a drone taxi set as the tag, and the UWB anchors installed in the vertiport were set as the anchor, and we optimized the UWB anchors layout about landing path of the drone taxi. As an optimization algorithm, we propose a binary genetic algorithm using a multi-objective fitness function consisting the number and positioning error of UWB. Then, we conducted hardware-in-the-loop simulation (HILS) to confirm that flight controller that is deployed position estimation algorithm of optimized UWB positioning network complete the flight following the mission path. As a result, positioning error has similar pattern to positioning accuracy of simulation result based on genetic algorithm and flight controller completed the flight along the mission path.", "keywords": [ "Drone", "Genetic algorithm", "Computer science", "GNSS applications", "Real-time computing", "Global Positioning System", "Ultra-wideband", "Ranging", "Simulation", "Telecommunications" ], "cited_by_openalex": 3, "cited_by_scopus": 0, "eid": null, "pii": null, "open_access_url": "https://doi.org/10.33012/2022.18322", "sources": [ { "db": "openalex", "stream": "UAV", "query_id": "UAV-3" } ], "streams": [ "UAV" ], "relevance_signals": [ "UAV_NO_CTX" ], "auto_exclude_reason": "EC-4-topic", "screening_status": "auto_excluded", "screened_by": "auto-v1.0.0" }, { "id": "doi:10.1016/j.ifacol.2022.10.245", "doi": "10.1016/j.ifacol.2022.10.245", "title": "Passenger Experience of Simulated Urban Air Mobility Ride Quality: Responses to Large-Scale Motion", "year": 2022, "authors": [ "Bernard D. Adelstein", "William B. Toscano", "Fernando A. Espinosa", "Patricia S. Cowings" ], "first_author": "Bernard D. Adelstein", "venue": "IFAC-PapersOnLine", "volume": "55", "pages": "138-143", "type": "article", "language": "en", "abstract": "Twenty-three participants took 10-min solo Urban Air Mobility quadrotor flights as passengers on two separate days in a six-dof large-motion simulator. One flight was in a rotor speed (i.e., RPM) controlled model; the other was under rotor blade pitch (i.e., collective) control. Both were flown in the same modeled turbulence. When ranked across test conditions, the severity of participants' self-reported simulator sickness symptoms paralleled acceleration-derived predictions of motion sickness likelihood in the following worst-to-best order: 1) RPM control; 2) collective control; and 3) preflight while still on the vertiport pad. Various objective measures revealed potential impacts of flight roughness on the learning of a visuo-manual reaction-time task and on heart and breathing rate indicators of preflight/inflight passenger stress.", "keywords": [ "Motion sickness", "Simulation", "Motion (physics)", "Aeronautics", "Rotor (electric)", "Acceleration", "Computer science", "Task (project management)", "Environmental science", "Engineering", "Psychology", "Artificial intelligence" ], "cited_by_openalex": 4, "cited_by_scopus": "3", "eid": "2-s2.0-85144278839", "pii": "S2405896322022728", "open_access_url": "https://doi.org/10.1016/j.ifacol.2022.10.245", "sources": [ { "db": "openalex", "stream": "UAV", "query_id": "UAV-3" }, { "db": "scopus", "stream": "UAV", "query_id": "UAV-3" } ], "streams": [ "UAV" ], "relevance_signals": [ "UAV_NO_CTX" ], "auto_exclude_reason": "EC-4-topic", "screening_status": "auto_excluded", "screened_by": "auto-v1.0.0" }, { "id": "doi:10.32936/pssj.v6i2.335", "doi": "10.32936/pssj.v6i2.335", "title": "FUTURE AIR TRANSPORTATION RAMIFICATION: URBAN AIR MOBILITY (UAM) CONCEPT: URBAN AIR MOBILITY", "year": 2022, "authors": [ "Mehmet Necati CİZRELİOĞULLARI", "Pınar BARUT", "Tapdig Imanov" ], "first_author": "Mehmet Necati CİZRELİOĞULLARI", "venue": "Prizren Social Science Journal", "volume": null, "pages": null, "type": "article", "language": "en", "abstract": "Urban Air Mobility (UAM) is a new concept offered for solving urban transportation system problems, contributing to reducing traffic congestion, atmospheric pollution and mobility around metropolitan areas which is progressively an evolved aviation market. Facing the evolved dynamics in the airspace and on the ground, developed new technologies are able to withstand against destroy transportation infrastructures of the big cities, making it necessary to develop UAM services in the megapolises and regional transportation sector. Based on new technologies and modern business approaches, applying the next generation aviation infrastructure makes it capable of setting up a novel air traffic within the urban environment. This case study aims to explore the urban air transport advantages, particularly adoption of UAM, which might be an alternative next generation air transportation system. Referring to the collected operational data and design performances of the UAM, in this paper, we will try to describe a multi approach studying differences between traditional aviation transportation and UAM operation. The first step of the study consists of defining an airspace classification for UAM mission and use of applicable requirements for air navigation service providers and second part of the study describes performing UAM infrastructure and design of vertiports necessary for vertical take-off and landing (VTOL) vehicles. Detailed design specification is not included in this study but limited characteristics are indicated according to the VTOL manufacturer that are obtained from the test results. As far as VTOL vehicles have not started their mission yet, the UAM operators are at the stage of development to set up their future operation. The expected trend provides justifiable assumptions of the necessity of establishing the new transportation ramification within the aviation industry, upon transforming existing business activities and regulations.", "keywords": [ "Aviation", "Transport engineering", "Metropolitan area", "Air pollution", "Service (business)", "Air traffic control", "Traffic congestion", "Air transport", "Computer science", "Business", "Engineering", "Aerospace engineering" ], "cited_by_openalex": 3, "cited_by_scopus": 0, "eid": null, "pii": null, "open_access_url": "https://prizrenjournal.com/index.php/PSSJ/article/download/335/172", "sources": [ { "db": "openalex", "stream": "UAV", "query_id": "UAV-3" } ], "streams": [ "UAV" ], "relevance_signals": [ "UAV" ], "auto_exclude_reason": null, "screening_status": "pending_human_screening", "screened_by": "auto-v1.0.0" }, { "id": "doi:10.2514/6.2022-2733", "doi": "10.2514/6.2022-2733", "title": "Airdrop Technology Multi-Operational Simulation (ATMOS): 2nd Edition.", "year": 2022, "authors": [ "Usbaldo Fraire", "Nabeel J Tokatli" ], "first_author": "Usbaldo Fraire", "venue": "26th AIAA Aerodynamic Decelerator Systems Technology Conference and Seminar Adstcs 2022", "volume": null, "pages": null, "type": "conference-paper", "language": "en", "abstract": "The Airdrop Technology Multi-Operational Simulation (ATMOS) is an Army driven capability that is contributing to modernization objectives and enabling Modeling and Simulation (M&S) breakthroughs that contribute to Science and Technology (S&T) efforts. The first generation of ATMOS targeted establishing the simulation framework, developing fundamental models, identifying modeling limitations and simulating the extraction phase of flight. The second generation of ATMOS developments have accelerated to meet project demands to produce flight predictions using a new 7.5” circumference double-braided Nylon extraction rope for emergency parachute jettison studies and planned demonstrations of a 50,000-lbm Heavy Equipment Large Low Velocity Airdrop System (HELLVADS). The double-braided Nylon is being used and simulated as a 140-ft extraction rope that connects to a single or cluster of 28-ft ring slot parachutes using a modified 4-point link. It is also used as suspension lines that connect to the platform with a modified bracket. Due to its extensive use in the HELLVADS configuration, ground testing was performed using static and dynamic loading techniques to characterize its material performance. The data collected anchored the extraction rope model to test data and was integrated into ATMOS for flight prediction efforts. ATMOS produces multibody dynamics solutions using primarily rigid bodies and is now being built to hand-over initial conditions to the Airdrop Impact Mitigation Simulation (AIMS) to complete the end-to-end trajectory analysis which uses a finite element analysis (FEA) approach to predict impact loads. The focus of this paper is on how ATMOS is satisfying Aerial Delivery Division (ADD) M&S objectives and how this capability is being applied to other airdrop applications to provide performance studies.", "keywords": [ "Rope", "Trajectory", "Computer science", "Finite element method", "Mechanical engineering", "Extraction (chemistry)", "Simulation", "Aerospace engineering", "Engineering", "Structural engineering", "Physics" ], "cited_by_openalex": 2, "cited_by_scopus": "3", "eid": "2-s2.0-85132584434", "pii": null, "open_access_url": "https://doi.org/10.2514/6.2022-2733", "sources": [ { "db": "openalex", "stream": "UAV", "query_id": "UAV-3" }, { "db": "scopus", "stream": "UAV", "query_id": "UAV-3" } ], "streams": [ "UAV" ], "relevance_signals": [ "UAV_NO_CTX" ], "auto_exclude_reason": "EC-4-topic", "screening_status": "auto_excluded", "screened_by": "auto-v1.0.0" }, { "id": "doi:10.2514/6.2022-2732", "doi": "10.2514/6.2022-2732", "title": "Airdrop Impact Mitigation Simulation (AIMS)", "year": 2022, "authors": [ "Usbaldo Fraire" ], "first_author": "Usbaldo Fraire", "venue": "26th AIAA Aerodynamic Decelerator Systems Technology Conference and Seminar Adstcs 2022", "volume": null, "pages": null, "type": "conference-paper", "language": "en", "abstract": "The Airdrop Impact Mitigation Simulation (AIMS) capability is being developed to provide airbag performance insights for the Rapid Rigging and Derigging Airdrop System (RRDAS) project. The target area of the airdrop sequence that the simulation is being developed for is the final seconds of flight prior to ground impact. The final descent of the airdrop sequence is crucial to determining if a payload survives the experienced dynamic loads and meets the aerial delivery objective or crashes and breaks critical components that make the delivered payload unusable for the Soldier. The primary concern is the flip-over or roll-over scenario of a payload once it reaches the ground. Quantifying risk and understanding what conditions drive this unfavorable roll-over condition at impact is the primary objective for the development on AIMS. Initial conditions such as the descent rate, cross winds and updrafts will be considered and used to run trade studies. Other factors that require consideration are uneven terrain, parachute force and center of gravity of the payload. The key test scenario the project needs simulated is a high center of gravity payload with high cross-winds to decide whether additional mitigation options need to be included in the RRDAS design, such as outriggers to increase stability and reliability. Ground testing is underway to test the RRDAS airbag system and ensure that the path forward will reduce the risk of a roll-over scenario. Acceleration and high speed video are a few data sources that will be evaluated to anchor AIMS predictions to test data. The focus of this paper is on evaluating airbag performance and a detailed review of the transient event sequence prior to ground impact. The airbag design phase is in progress, evolving and Modeling & Simulation (M&S) capabilities are being utilized to support milestone design decisions. The payload and airbag features discussed here are intended to communicate how new design ideas will be analyzed to determine if they reduce roll-over risk and benefit the overall system performance. RRDAS is enabling the development of AIMS and modeling elements learned here will be applicable to other project efforts such as the Joint Light Tactical Vehicle (JLTV) Gravity Airdrop System (GADS).", "keywords": [ "Payload (computing)", "Descent (aeronautics)", "Computer science", "Aerospace engineering", "Aeronautics", "Simulation", "Engineering", "Automotive engineering", "Marine engineering", "Computer security" ], "cited_by_openalex": 1, "cited_by_scopus": "3", "eid": "2-s2.0-85132580098", "pii": null, "open_access_url": "https://doi.org/10.2514/6.2022-2732", "sources": [ { "db": "openalex", "stream": "UAV", "query_id": "UAV-3" }, { "db": "scopus", "stream": "UAV", "query_id": "UAV-3" } ], "streams": [ "UAV" ], "relevance_signals": [ "UAV_NO_CTX" ], "auto_exclude_reason": "EC-4-topic", "screening_status": "auto_excluded", "screened_by": "auto-v1.0.0" }, { "id": "doi:10.1177/03611981211060035", "doi": "10.1177/03611981211060035", "title": "Spatial Seemingly Unrelated Regression Models for Freight Trip Generation by Vehicle Type: Application to the Chennai Metropolitan Area in India", "year": 2022, "authors": [ "Middela M.S." ], "first_author": "Middela M.S.", "venue": "Transportation Research Record", "volume": "2676", "pages": "380-392", "type": "Article", "language": null, "abstract": null, "keywords": [], "cited_by_openalex": 0, "cited_by_scopus": "3", "eid": "2-s2.0-85128759812", "pii": null, "open_access_url": null, "sources": [ { "db": "scopus", "stream": "TRUCK", "query_id": "TRUCK-1" } ], "streams": [ "TRUCK" ], "relevance_signals": [ "NO_TECHNOLOGY_MATCH" ], "auto_exclude_reason": "EC-4-topic", "screening_status": "auto_excluded", "screened_by": "auto-v1.0.0" }, { "id": "title:drone based delivery system restrictions and limitations", "doi": null, "title": "Drone based Delivery System: Restrictions and Limitations", "year": 2022, "authors": [ "Seidakhmetov A." ], "first_author": "Seidakhmetov A.", "venue": "Proceedings of the Hamburg International Conference of Logistics", "volume": "33", "pages": "351-373", "type": "Conference Paper", "language": null, "abstract": null, "keywords": [], "cited_by_openalex": 0, "cited_by_scopus": "3", "eid": "2-s2.0-85176126968", "pii": null, "open_access_url": null, "sources": [ { "db": "scopus", "stream": "UAV", "query_id": "UAV-1" }, { "db": "scopus", "stream": "UAV", "query_id": "UAV-3" } ], "streams": [ "UAV" ], "relevance_signals": [ "UAV_NO_CTX" ], "auto_exclude_reason": "EC-4-topic", "screening_status": "auto_excluded", "screened_by": "auto-v1.0.0" }, { "id": "doi:10.11999/jeit220649", "doi": "10.11999/jeit220649", "title": "Trusted Geographic Routing Protocol Based on Deep Reinforcement Learning for Unmanned Aerial Vehicle Network", "year": 2022, "authors": [ "Zhang Y." ], "first_author": "Zhang Y.", "venue": "Dianzi Yu Xinxi Xuebao Journal of Electronics and Information Technology", "volume": "44", "pages": "4211-4217", "type": "Article", "language": null, "abstract": null, "keywords": [], "cited_by_openalex": 0, "cited_by_scopus": "3", "eid": "2-s2.0-85149555196", "pii": null, "open_access_url": null, "sources": [ { "db": "scopus", "stream": "UAV", "query_id": "UAV-2" } ], "streams": [ "UAV" ], "relevance_signals": [ "UAV_NO_CTX" ], "auto_exclude_reason": "EC-4-topic", "screening_status": "auto_excluded", "screened_by": "auto-v1.0.0" }, { "id": "doi:10.19678/j.issn.1000-3428.0062147", "doi": "10.19678/j.issn.1000-3428.0062147", "title": "Trusted Routing Algorithm Based on Heuristic Q-Learning for FANET", "year": 2022, "authors": [ "Zhao B." ], "first_author": "Zhao B.", "venue": "Jisuanji Gongcheng Computer Engineering", "volume": "48", "pages": "162-169", "type": "Article", "language": null, "abstract": null, "keywords": [], "cited_by_openalex": 0, "cited_by_scopus": "3", "eid": "2-s2.0-85146884194", "pii": null, "open_access_url": null, "sources": [ { "db": "scopus", "stream": "UAV", "query_id": "UAV-2" } ], "streams": [ "UAV" ], "relevance_signals": [ "NO_TECHNOLOGY_MATCH" ], "auto_exclude_reason": "EC-4-topic", "screening_status": "auto_excluded", "screened_by": "auto-v1.0.0" }, { "id": "title:optimization of uwb network placement using genetic algorithm supporting drone taxi landing in ertip", "doi": null, "title": "Optimization of UWB network placement using genetic algorithm supporting drone taxi landing in ertiport", "year": 2022, "authors": [ "Jung D." ], "first_author": "Jung D.", "venue": "35th International Technical Meeting of the Satellite Division of the Institute of Navigation Ion Gnss 2022", "volume": "2", "pages": "1360-1369", "type": "Conference Paper", "language": null, "abstract": null, "keywords": [], "cited_by_openalex": 0, "cited_by_scopus": "3", "eid": "2-s2.0-85167869602", "pii": null, "open_access_url": null, "sources": [ { "db": "scopus", "stream": "UAV", "query_id": "UAV-3" } ], "streams": [ "UAV" ], "relevance_signals": [ "UAV_NO_CTX" ], "auto_exclude_reason": "EC-4-topic", "screening_status": "auto_excluded", "screened_by": "auto-v1.0.0" }, { "id": "doi:10.4038/jsalt.v2i1.41", "doi": "10.4038/jsalt.v2i1.41", "title": "Factors Influencing Electrification of Urban Freight Vehicles: A Case Study of Three Indian Cities - Ahmedabad, Delhi, and Surat", "year": 2022, "authors": [ "H. M. Shivanand Swamy", "S. Sinha", "Keval Modi", "Dominic Bryan S. San Jose Ed.D.", "D. Sanghvi", "N. Chippa", "Y. Khurana" ], "first_author": "H. M. Shivanand Swamy", "venue": "Journal of South Asian Logistics and Transport", "volume": null, "pages": null, "type": "article", "language": "en", "abstract": "India’s high levels of transport-related air pollution endanger public health. The transition to electric mobility will address this challenge while also reducing the country’s dependence on oil imports. The Government of India has offered incentives to electric vehicle manufacturers and purchasers that promote faster adoption of electric vehicles. The states have framed electric vehicle policies offering additional fiscal and non-fiscal incentives supporting this objective, but the adoption rate of electric vehicles in India is far below expectations. This paper aims to understand the factors that influence the electrification of urban freight vehicles. It does so with reference to urban freight movements linked to textile markets in Ahmedabad and Surat, and the fruit and vegetable market in Delhi. By studying these, it attempts to assess the impact of key policy and market conditions on the adoption of electric vehicles. Based on stakeholder perceptions, it further tries to identify the enablers and barriers to the electrification of urban freight vehicles.", "keywords": [ "Electrification", "Incentive", "Business", "Government (linguistics)", "Electric vehicle", "Transport engineering", "Economic growth", "Electricity", "Engineering", "Economics", "Market economy" ], "cited_by_openalex": 2, "cited_by_scopus": 0, "eid": null, "pii": null, "open_access_url": "https://doi.org/10.4038/jsalt.v2i1.41", "sources": [ { "db": "openalex", "stream": "TRUCK", "query_id": "TRUCK-1" } ], "streams": [ "TRUCK" ], "relevance_signals": [ "TRUCK" ], "auto_exclude_reason": null, "screening_status": "pending_human_screening", "screened_by": "auto-v1.0.0" }, { "id": "doi:10.4102/jtscm.v16i0.629", "doi": "10.4102/jtscm.v16i0.629", "title": "Urban freight characteristics and externalities – A comparative study of Gothenburg (Sweden) and Delhi (India)", "year": 2022, "authors": [ "Saubhagya Dixit", "K. Ramachandra Rao", "Geetam Tiwari", "Sönke von Wieding" ], "first_author": "Saubhagya Dixit", "venue": "Journal of Transport and Supply Chain Management", "volume": "16", "pages": null, "type": "article", "language": "en", "abstract": "Background: The urban freight transportation (UFT) system is an essential facilitator for the smooth functioning of city logistics. It also contributes significantly to transportation-related issues, such as vehicular congestion, pollution, accidents, infrastructure damage and other related problems.Objectives: This study aimed to understand and compare the urban freight traffic characteristics and their impact in two cities: Gothenburg, Sweden and Delhi, India, having high socio-economic differences. The findings of this study will be helpful for practitioners and policymakers in the development and successful implementation of UFT management policies.Method: Using the cordon count (traffic data), retailers’ interviews (receivers’ data) and freight vehicle drivers’ interviews, UFT characteristics such as sector-specific contribution, trip characteristics, vehicular characteristics and negative impacts in terms of external cost to society are evaluated. This study also discusses the prediction of attracted trips in the study zone using freight trip attraction (models.Results: About 75% of the trips in Gothenburg and 92% of the trips in Delhi are made by light commercial and other small-sized vehicles. Gothenburg has formally organised sectors involved in freight vehicle movement; however, Delhi has informally organised sectors.Conclusion: The results revealed substantial differences in characteristics of freight trip operations in both the cities, compared with few similarities. Measures taken considering the specific local attributes of freight traffic and stakeholders’ requirement may lead to a sustainable transportation system in cities.", "keywords": [ "TRIPS architecture", "Business", "Transport engineering", "Externality", "Traffic congestion", "Facilitator", "Economic growth", "Engineering", "Economics", "Political science" ], "cited_by_openalex": 5, "cited_by_scopus": "2", "eid": "2-s2.0-85125578726", "pii": null, "open_access_url": "https://jtscm.co.za/index.php/jtscm/article/download/629/1188", "sources": [ { "db": "openalex", "stream": "TRUCK", "query_id": "TRUCK-1" }, { "db": "scopus", "stream": "TRUCK", "query_id": "TRUCK-1" } ], "streams": [ "TRUCK" ], "relevance_signals": [ "TRUCK" ], "auto_exclude_reason": null, "screening_status": "pending_human_screening", "screened_by": "auto-v1.0.0" }, { "id": "doi:10.1109/scisisis55246.2022.10002027", "doi": "10.1109/scisisis55246.2022.10002027", "title": "Drone Scheduling for Parcel Delivery with a Given Truck Route and Setup Times", "year": 2022, "authors": [ "Riki Kataoka", "Yoshiyuki Karuno", "Hitoshi Iima" ], "first_author": "Riki Kataoka", "venue": "2022 Joint 12th International Conference on Soft Computing and Intelligent Systems and 23rd International Symposium on Advanced Intelligent Systems (SCIS&ISIS)", "volume": null, "pages": null, "type": "conference-paper", "language": "en", "abstract": "We consider a parcel delivery scheduling problem for a truck-drone distribution system. The single carrier truck plays the role of a mobile depot, and traverses in one direction a given route with some points to stop for launching/retrieving drones. The multiple identical drones are dispatched for the last-mile delivery of a parcel from the carrier truck to each of customers. In this paper, we introduce two kinds of setup times at truck stops on given routes to the underlying model, and propose a genetic search based heuristic algorithm with a modified version of a well-known list scheduling procedure, called LPT (Longest Processing Time first) rule. We also conduct numerical experiments to demonstrate the performance of the proposed heuristic, and report the results.", "keywords": [ "Drone", "Truck", "Computer science", "Scheduling (production processes)", "Heuristic", "Job shop scheduling", "Real-time computing", "Simulation", "Computer network", "Mathematical optimization", "Engineering", "Automotive engineering" ], "cited_by_openalex": 2, "cited_by_scopus": "2", "eid": "2-s2.0-85146690029", "pii": null, "open_access_url": "http://dx.doi.org/10.1109/scisisis55246.2022.10002027", "sources": [ { "db": "openalex", "stream": "TRUCK", "query_id": "TRUCK-1" }, { "db": "openalex", "stream": "TRUCK", "query_id": "TRUCK-3" }, { "db": "openalex", "stream": "UAV", "query_id": "UAV-1" }, { "db": "scopus", "stream": "TRUCK", "query_id": "TRUCK-1" }, { "db": "scopus", "stream": "TRUCK", "query_id": "TRUCK-3" }, { "db": "scopus", "stream": "UAV", "query_id": "UAV-1" } ], "streams": [ "TRUCK", "UAV" ], "relevance_signals": [ "UAV", "TRUCK" ], "auto_exclude_reason": null, "screening_status": "pending_human_screening", "screened_by": "auto-v1.0.0" }, { "id": "doi:10.2139/ssrn.4310727", "doi": "10.2139/ssrn.4310727", "title": "Structure and Evolution of Urban Heavy Truck Mobility Networks", "year": 2022, "authors": [ "Yitao Yang", "Bin Jia", "Erjian Liu", "Xiao-Yong Yan", "Michiel de Bok", "Lóránt Antal Tavasszy", "Ziyou Gao" ], "first_author": "Yitao Yang", "venue": "SSRN Electronic Journal", "volume": null, "pages": null, "type": "preprint", "language": "en", "abstract": null, "keywords": [ "Truck", "Transport engineering", "Business", "Economic geography", "Geography", "Engineering", "Automotive engineering" ], "cited_by_openalex": 2, "cited_by_scopus": 0, "eid": null, "pii": null, "open_access_url": "https://doi.org/10.2139/ssrn.4310727", "sources": [ { "db": "openalex", "stream": "TRUCK", "query_id": "TRUCK-1" } ], "streams": [ "TRUCK" ], "relevance_signals": [ "TRUCK_NO_CTX" ], "auto_exclude_reason": "EC-4-topic", "screening_status": "auto_excluded", "screened_by": "auto-v1.0.0" }, { "id": "doi:10.1061/9780784484265.125", "doi": "10.1061/9780784484265.125", "title": "Prediction of Green Development of Urban Freight Transportation Based on “Carbon Peak” and “Carbon Neutral” Goals", "year": 2022, "authors": [ "Ran An", "Shuzhen Feng" ], "first_author": "Ran An", "venue": "CICTP 2022", "volume": null, "pages": "1327-1334", "type": "conference-paper", "language": "en", "abstract": "Around the target of “peak carbon dioxide emissions” “carbon neutrality” for urban transportation and the target of deep emission reduction path, various cities have introduced corresponding policies to promote the low-carbon and green development of urban freight transportation. Based on the statistical data of transportation industry, this paper deeply analyzes the status quo of types, quantity, energy consumption and carbon emission of urban freight vehicles. Consider combining industry development and achieve carbon up to the peak, in the framework of scenario analysis method, based on the regression analysis method, fitting the data and predicting the future energy consumption and carbon emission reduction targets of urban freight in 2035, under the natural situation, the general policy, the strong policy such three situations. And put forward work priorities and policy recommendations for different scenarios. Promote the development of green freight transport in cities, accelerate the green and low-carbon transformation of the urban transport industry, and promote the sustainable and high-quality development of the industry.", "keywords": [ "Carbon fibers", "Transport engineering", "Environmental science", "Computer science", "Engineering", "Algorithm" ], "cited_by_openalex": 1, "cited_by_scopus": "2", "eid": "2-s2.0-85138992083", "pii": null, "open_access_url": "https://doi.org/10.1061/9780784484265.125", "sources": [ { "db": "openalex", "stream": "TRUCK", "query_id": "TRUCK-1" }, { "db": "scopus", "stream": "TRUCK", "query_id": "TRUCK-1" } ], "streams": [ "TRUCK" ], "relevance_signals": [ "TRUCK" ], "auto_exclude_reason": null, "screening_status": "pending_human_screening", "screened_by": "auto-v1.0.0" }, { "id": "doi:10.2139/ssrn.4060911", "doi": "10.2139/ssrn.4060911", "title": "Rich Arc Routing Problem in City Logistics: Models and Solution Algorithms Using a Fluid Queue-Based Time-Dependent Travel Time Representation", "year": 2022, "authors": [ "Jiawei Lu", "Qinghui Nie", "Monirehalsadat Mahmoudi", "Jishun Ou", "Chongnan Li", "Xuesong Zhou" ], "first_author": "Jiawei Lu", "venue": "SSRN Electronic Journal", "volume": null, "pages": null, "type": "preprint", "language": "en", "abstract": null, "keywords": [ "Arc routing", "Queue", "Arc (geometry)", "Representation (politics)", "Computer science", "Routing (electronic design automation)", "Algorithm", "Mathematical optimization", "Mathematics", "Computer network", "Geometry" ], "cited_by_openalex": 2, "cited_by_scopus": 0, "eid": null, "pii": null, "open_access_url": "https://doi.org/10.2139/ssrn.4060911", "sources": [ { "db": "openalex", "stream": "TRUCK", "query_id": "TRUCK-1" }, { "db": "openalex", "stream": "TRUCK", "query_id": "TRUCK-2" } ], "streams": [ "TRUCK" ], "relevance_signals": [ "NO_TECHNOLOGY_MATCH" ], "auto_exclude_reason": "EC-4-topic", "screening_status": "auto_excluded", "screened_by": "auto-v1.0.0" }, { "id": "doi:10.1177/03611981221127282", "doi": "10.1177/03611981221127282", "title": "Impact of Goods Distribution in the Last Mile: An Investigation in the City of São Paulo", "year": 2022, "authors": [ "Luigi Guarino Neto", "Filipe Costa Barros", "José Geraldo Vidal Vieira" ], "first_author": "Luigi Guarino Neto", "venue": "Transportation Research Record Journal of the Transportation Research Board", "volume": "2677", "pages": "33-49", "type": "article", "language": "en", "abstract": "The number of goods deliveries made in the city of São Paulo has been rising every year. This growth is caused by new consumption habits, as people increasingly opt for online shopping, having goods delivered to their homes or neighborhood markets. However, these deliveries have become increasingly complex because of several issues found in the last-mile distribution of goods. This research sheds light on the interactions among issues related to truck circulation restrictions, receiver characteristics, accessibility and delivery planning, urban road infrastructure, driver behavior, and safety and risk problems that hamper last-mile delivery distribution. Data were collected (via a questionnaire) from drivers who work in the urban distribution of non-durable consumer goods in the city of São Paulo. From the data, structural equation modeling is proposed to evaluate these interactions. Empirical results demonstrate that “lack of accessibility and delivery planning” and “poor urban road infrastructure” are the elements that have the most impact on the “safety and risk problems in urban freight distribution” from the driver’s point of view. These results also contribute to mapping the main problems encountered in the last-mile delivery distribution in the city of São Paulo.", "keywords": [ "Last mile (transportation)", "Mile", "Distribution (mathematics)", "Transport engineering", "Truck", "Business", "Work (physics)", "Urban planning", "City logistics", "Consumption (sociology)", "Geography", "Engineering" ], "cited_by_openalex": 3, "cited_by_scopus": "2", "eid": "2-s2.0-85150162358", "pii": null, "open_access_url": "https://doi.org/10.1177/03611981221127282", "sources": [ { "db": "openalex", "stream": "TRUCK", "query_id": "TRUCK-1" }, { "db": "scopus", "stream": "TRUCK", "query_id": "TRUCK-1" } ], "streams": [ "TRUCK" ], "relevance_signals": [ "TRUCK" ], "auto_exclude_reason": null, "screening_status": "pending_human_screening", "screened_by": "auto-v1.0.0" }, { "id": "doi:10.2139/ssrn.3775721", "doi": "10.2139/ssrn.3775721", "title": "Recipient-Dependent Deliveries in Last-Mile Logistics", "year": 2022, "authors": [ "Mehdi Nourinejad", "Opher Baron", "Oded Berman" ], "first_author": "Mehdi Nourinejad", "venue": "SSRN Electronic Journal", "volume": null, "pages": null, "type": "preprint", "language": "en", "abstract": null, "keywords": [ "Stylized fact", "Status quo", "Dominance (genetics)", "Truck", "Business", "Parking space", "Operations management", "Industrial organization", "Economics", "Transport engineering", "Engineering" ], "cited_by_openalex": 2, "cited_by_scopus": 0, "eid": null, "pii": null, "open_access_url": "https://doi.org/10.2139/ssrn.3775721", "sources": [ { "db": "openalex", "stream": "TRUCK", "query_id": "TRUCK-1" }, { "db": "openalex", "stream": "TRUCK", "query_id": "TRUCK-3" } ], "streams": [ "TRUCK" ], "relevance_signals": [ "TRUCK" ], "auto_exclude_reason": null, "screening_status": "pending_human_screening", "screened_by": "auto-v1.0.0" }, { "id": "doi:10.48550/arxiv.2208.14304", "doi": "10.48550/arxiv.2208.14304", "title": "Approximation Algorithms for Drone Delivery Packing Problem", "year": 2022, "authors": [ "Saswata Jana", "Partha Sarathi Mandal" ], "first_author": "Saswata Jana", "venue": "arXiv (Cornell University)", "volume": null, "pages": null, "type": "preprint", "language": "en", "abstract": "Recent advancements in unmanned aerial vehicles, also known as drones, have motivated logistics to use drones for multiple operations. Collaboration between drones and trucks in a last-mile delivery system has numerous benefits and reduces a number of challenges. In this paper, we introduce \\textit{drone-delivery packing problem} (DDP), where we have a set of deliveries and respective customers with their prescribed locations, delivery time intervals, associated cost for deliveries, and a set of drones with identical battery budgets. The objective of the DDP is to find an assignment for all deliveries to the drones by using the minimum number of drones subject to the battery budget and compatibility of the assignment of each drone. We prove that DDP is NP-Hard and formulate the integer linear programming (ILP) formulation for it. We proposed two greedy approximation algorithms for DDP. The first algorithm uses at most $2OPT + (Δ+ 1)$ drones. The second algorithm uses at most $2OPT + ω$ drones, where OPT is the optimum solution for DDP, $ω$ is the maximum clique size, and $Δ$ is the maximum degree of the interval graph $G$ constructed from the delivery time intervals.", "keywords": [ "Drone", "Computer science", "Integer programming", "Linear programming", "Mathematical optimization", "Approximation algorithm", "Set (abstract data type)", "Set packing", "Algorithm", "Mathematics" ], "cited_by_openalex": 2, "cited_by_scopus": 0, "eid": null, "pii": null, "open_access_url": "https://arxiv.org/pdf/2208.14304", "sources": [ { "db": "openalex", "stream": "TRUCK", "query_id": "TRUCK-1" }, { "db": "openalex", "stream": "UAV", "query_id": "UAV-1" } ], "streams": [ "TRUCK", "UAV" ], "relevance_signals": [ "UAV", "TRUCK" ], "auto_exclude_reason": null, "screening_status": "pending_human_screening", "screened_by": "auto-v1.0.0" }, { "id": "doi:10.1007/978-981-16-9636-7_15", "doi": "10.1007/978-981-16-9636-7_15", "title": "Sustainable Freight Transportation Planning and Policies for a Logistics-Driven India: Current State and Future Ahead", "year": 2022, "authors": [ "Agnivesh Pani", "Prasanta K. Sahu", "Bandhan Bandhu Majumdar" ], "first_author": "Agnivesh Pani", "venue": "Springer transactions in civil and environmental engineering", "volume": null, "pages": null, "type": "book-chapter", "language": "en", "abstract": null, "keywords": [ "Traffic management", "Business", "Externality", "Supply chain", "Context (archaeology)", "Sustainability", "Transaction cost", "Sustainable transport", "Greenhouse gas", "Metropolitan area", "Industrial organization", "Transport engineering" ], "cited_by_openalex": 2, "cited_by_scopus": 0, "eid": null, "pii": null, "open_access_url": "https://doi.org/10.1007/978-981-16-9636-7_15", "sources": [ { "db": "openalex", "stream": "TRUCK", "query_id": "TRUCK-1" } ], "streams": [ "TRUCK" ], "relevance_signals": [ "NO_TECHNOLOGY_MATCH" ], "auto_exclude_reason": "EC-4-topic", "screening_status": "auto_excluded", "screened_by": "auto-v1.0.0" }, { "id": "doi:10.1007/978-3-031-10385-8_25", "doi": "10.1007/978-3-031-10385-8_25", "title": "Urban Logistics Vehicle Routing Problem Under the Carbon Trading Market", "year": 2022, "authors": [ "Keru Fan", "Yalou Tian", "Liqing Yao", "Rui Qiu" ], "first_author": "Keru Fan", "venue": "Lecture notes on data engineering and communications technologies", "volume": "145", "pages": "340-352", "type": "conference-paper", "language": "en", "abstract": null, "keywords": [ "Vehicle routing problem", "Business", "Routing (electronic design automation)", "Industrial organization", "Computer science", "Computer network" ], "cited_by_openalex": 2, "cited_by_scopus": "2", "eid": "2-s2.0-85134758529", "pii": null, "open_access_url": "https://doi.org/10.1007/978-3-031-10385-8_25", "sources": [ { "db": "openalex", "stream": "TRUCK", "query_id": "TRUCK-2" }, { "db": "scopus", "stream": "TRUCK", "query_id": "TRUCK-2" } ], "streams": [ "TRUCK" ], "relevance_signals": [ "NO_TECHNOLOGY_MATCH" ], "auto_exclude_reason": "EC-4-topic", "screening_status": "auto_excluded", "screened_by": "auto-v1.0.0" }, { "id": "doi:10.1109/reepe53907.2022.9731380", "doi": "10.1109/reepe53907.2022.9731380", "title": "Application of the genetic algorithm in urban distribution networks tracking", "year": 2022, "authors": [ "В. А. Агеев", "Konstantin A. Dushutin", "Dmitriy S. Repyev", "Tatiana Yu. Brostilova" ], "first_author": "В. А. Агеев", "venue": "2022 4th International Youth Conference on Radio Electronics, Electrical and Power Engineering (REEPE)", "volume": null, "pages": null, "type": "conference-paper", "language": "en", "abstract": "An approach to the automated determination of the location of the routes of power transmission lines of urban distribution networks is proposed. The possibility of using the genetic algorithm for solving the problem location adjusting, taking into account bypassing natural and artificial obstacles, is shown. The algorithm is implemented in a software package developed by the authors. On the example of a real city block, the calculation and subsequent adjustment of routes' location of 10 kV power transmission lines were made. It is concluded that the proposed approach can be applied in the design of new and reconstruction of existing urban distribution networks.", "keywords": [ "Genetic algorithm", "Electric power transmission", "Computer science", "Block (permutation group theory)", "Transmission (telecommunications)", "Software", "Tracking (education)", "Power (physics)", "Algorithm", "Distribution (mathematics)", "Transmission network", "Real-time computing" ], "cited_by_openalex": 2, "cited_by_scopus": 0, "eid": null, "pii": null, "open_access_url": "https://doi.org/10.1109/reepe53907.2022.9731380", "sources": [ { "db": "openalex", "stream": "TRUCK", "query_id": "TRUCK-2" } ], "streams": [ "TRUCK" ], "relevance_signals": [ "NO_TECHNOLOGY_MATCH" ], "auto_exclude_reason": "EC-4-topic", "screening_status": "auto_excluded", "screened_by": "auto-v1.0.0" }, { "id": "doi:10.1007/978-3-030-75166-1_14", "doi": "10.1007/978-3-030-75166-1_14", "title": "Green Location-Routing Problem with Delivery Options", "year": 2022, "authors": [ "Mengtong Wang", "Lixin Miao", "Canrong Zhang" ], "first_author": "Mengtong Wang", "venue": "Springer proceedings in business and economics", "volume": null, "pages": "215-228", "type": "conference-paper", "language": "en", "abstract": null, "keywords": [ "Routing (electronic design automation)", "Computer science", "Business", "Computer network" ], "cited_by_openalex": 1, "cited_by_scopus": "2", "eid": "2-s2.0-85126254313", "pii": null, "open_access_url": "https://doi.org/10.1007/978-3-030-75166-1_14", "sources": [ { "db": "openalex", "stream": "TRUCK", "query_id": "TRUCK-2" }, { "db": "scopus", "stream": "TRUCK", "query_id": "TRUCK-2" } ], "streams": [ "TRUCK" ], "relevance_signals": [ "NO_TECHNOLOGY_MATCH" ], "auto_exclude_reason": "EC-4-topic", "screening_status": "auto_excluded", "screened_by": "auto-v1.0.0" }, { "id": "doi:10.1504/ijstl.2022.125832", "doi": "10.1504/ijstl.2022.125832", "title": "Multi-product distribution in multi-supplier combined and capacitated transport networks", "year": 2022, "authors": [ "Mojahid F. Saeed Osman" ], "first_author": "Mojahid F. Saeed Osman", "venue": "International Journal of Shipping and Transport Logistics", "volume": "15", "pages": "33-52", "type": "article", "language": "en", "abstract": "The paper tackles the problem of capacitated transport vehicle routing for the combined distribution of multiple products for multiple suppliers. This real-life urban distribution-planning problem requires a solution that identifies a set of routes for carrying out the combined distribution in extensive multi-supplier distribution networks. The paper describes the development of a novel 0-1 model for modelling the routing problem to aid in the optimum routes for the combined distribution with the objective of minimising the total distance travelled that significantly affects the transportation cost while satisfying demand and capacity constraints. For conducting a comparative analysis, the paper deploys a solution procedure that quickly leads to a good routing solution. The paper introduces a case study as an application scenario with three case problems for illustrating the suitability and applicability of the proposed approach. The results are not surprising; the novel 0-1 model provides optimal solutions and outperforms the solution procedure.", "keywords": [ "Computer science", "Routing (electronic design automation)", "Vehicle routing problem", "Mathematical optimization", "Distribution (mathematics)", "Set (abstract data type)", "Product (mathematics)", "Operations research", "Mathematics" ], "cited_by_openalex": 2, "cited_by_scopus": "2", "eid": "2-s2.0-85140854690", "pii": null, "open_access_url": "https://doi.org/10.1504/ijstl.2022.125832", "sources": [ { "db": "openalex", "stream": "TRUCK", "query_id": "TRUCK-2" }, { "db": "scopus", "stream": "TRUCK", "query_id": "TRUCK-2" } ], "streams": [ "TRUCK" ], "relevance_signals": [ "NO_TECHNOLOGY_MATCH" ], "auto_exclude_reason": "EC-4-topic", "screening_status": "auto_excluded", "screened_by": "auto-v1.0.0" }, { "id": "doi:10.3390/en15249573", "doi": "10.3390/en15249573", "title": "Application of the Experimental Method in the Assessment of the Electromobility Paradigm for Courier Shipments in an Urban Agglomeration", "year": 2022, "authors": [ "Mariusz Jedliński", "Mariusz Nürnberg" ], "first_author": "Mariusz Jedliński", "venue": "Energies", "volume": "15", "pages": null, "type": "article", "language": "en", "abstract": "The main idea of this article is to identify the benefits of the full vehicle substitution process for a fully sustainable Urban Freight Transport (UFT) in economic, social, and environmental terms, based on the application of the experimental method. The scientific assumption was made that Electric Delivery Vehicles (EFV) can be complementary in the first stage, and only in the next stage, substitutable to the traditional diesel-powered fleet servicing transport (courier) tasks within the delivery limits in the Szczecin Agglomeration. To assess the level of substitutability, observational instruments were used, while ensuring an active modification of the studied phenomenon (introduction to the operation of selected routes of electric vehicles). The focus was on three key elements, the environment, rules, and regularities. The article presents the architecture of such experiments regarding 22 selected routes, which allowed for the calculation of selected performance indicators for ex-ante evaluation in planning delivery scenarios. The results were verified using a simulation-based approach in the Szczecin Metropolitan Area. As a result, it made it possible to find answers to the research questions posed, in particular: is it possible to fully replace combustion-engine vans with electric ones, and what integrated benefits can be identified, and their systematics has been illustrated in the proposed proprietary model “Electromobility Octagon Profit”. Future research could extend the theoretical knowledge by further exploring the development processes for the use of electric vehicles in the urban freight transport system and by adding insights from other contexts, stakeholders, and theoretical areas.", "keywords": [ "Metropolitan area", "Sustainable transport", "Economies of agglomeration", "Profit (economics)", "City logistics", "Process (computing)", "Transport engineering", "Alternative fuel vehicle", "Computer science", "Sustainability", "Environmental economics", "Operations research" ], "cited_by_openalex": 3, "cited_by_scopus": "2", "eid": "2-s2.0-85144613504", "pii": null, "open_access_url": "https://www.mdpi.com/1996-1073/15/24/9573/pdf?version=1671594951", "sources": [ { "db": "openalex", "stream": "TRUCK", "query_id": "TRUCK-2" }, { "db": "scopus", "stream": "TRUCK", "query_id": "TRUCK-1" } ], "streams": [ "TRUCK" ], "relevance_signals": [ "NO_TECHNOLOGY_MATCH" ], "auto_exclude_reason": "EC-4-topic", "screening_status": "auto_excluded", "screened_by": "auto-v1.0.0" }, { "id": "doi:10.1109/access.2022.3211945", "doi": "10.1109/access.2022.3211945", "title": "A Recycling Routing Problem of Broken Bikes With Incentives in Bike Sharing Systems", "year": 2022, "authors": [ "Guoxun Xu", "An Zou" ], "first_author": "Guoxun Xu", "venue": "IEEE Access", "volume": "10", "pages": "106191-106201", "type": "article", "language": "en", "abstract": "In recent years, the truck-based broken bike recycling mode (i.e., dedicated trucks deal with all transportation activities of broken bikes) in bike sharing systems (BSSs) has led to some problems in China, such as BSS operators have no willingness to collect broken bikes from a bike station in time. As a result, many BSSs are in bad condition due to an increase in the number of broken bikes. To solve this problem, many cities in China have started to introduce a new broken bike recycling mode, where some citizens (i.e., sanitation workers, freelancers, volunteers, etc.) are incentivized to participate in recycling activities. To deal with this new recycling mode, a recycling routing problem of broken bikes with incentives in BSSs is proposed, where the recycling operation is performed by citizen participants and a fleet of homogeneous trucks. Participants are incentivized to relocate broken bikes scattered in a BSS to transshipment stations in exchange for monetary rewards, and then these broken bikes are transported from transshipment stations to the depot by trucks. The problem is formulated as a mixed-integer linear programming model to minimize the total operation cost, and an efficient modified tabu search is developed to solve the proposed problem. Experimental results reveal the proposed broken bike recycling mode is beneficial for BSS operators to reduce the operation cost. Experimental results also show the proposed modified tabu search can generate high-quality solutions in short computing times.", "keywords": [ "Truck", "Transshipment (information security)", "Computer science", "Incentive", "Vehicle routing problem", "Transport engineering", "Routing (electronic design automation)", "Bike sharing", "Integer programming", "Tabu search", "Mode (computer interface)", "Linear programming" ], "cited_by_openalex": 2, "cited_by_scopus": "2", "eid": "2-s2.0-85139858836", "pii": null, "open_access_url": "https://doi.org/10.1109/access.2022.3211945", "sources": [ { "db": "openalex", "stream": "TRUCK", "query_id": "TRUCK-3" }, { "db": "scopus", "stream": "TRUCK", "query_id": "TRUCK-3" } ], "streams": [ "TRUCK" ], "relevance_signals": [ "TRUCK_NO_CTX" ], "auto_exclude_reason": "EC-4-topic", "screening_status": "auto_excluded", "screened_by": "auto-v1.0.0" }, { "id": "doi:10.1016/j.ifacol.2022.09.516", "doi": "10.1016/j.ifacol.2022.09.516", "title": "Sustainable container distribution by alternatively fueled vehicles under customer and technical constraints", "year": 2022, "authors": [ "Sezgi Tekil-Ergün", "Erwin Pesch", "Katarzyna Anna Kuźmicz" ], "first_author": "Sezgi Tekil-Ergün", "venue": "IFAC-PapersOnLine", "volume": "55", "pages": "836-841", "type": "article", "language": "en", "abstract": "The scale of freight forwarding to the hinterland becomes an issue from the perspective of both – transport policy and cost efficiency of service providers. This problem is sharply visible in areas where ports, depots, inland intermodal terminals, exporters and importers are located, and full and empty containers satisfying demand and supply are frequently distributed creating a lot of traffic. Therefore solutions meeting the challenges of sustainable transport, responding to climate change and regulation of CO2 emissions are in need. In this paper, a variant of a Mixed Fleet Heterogeneous Dial-a-Ride Problem is proposed for optimal routing of trucks carrying full and empty 20-foot and 40-foot containers, with multiple pick-ups and deliveries. Transportation is performed by alternatively fueled vehicles (AFVs) for environmental reasons which causes a constraint of a limited driving range and a need of refueling. The main objective is minimising the total distance subject to matching the empty container demand and supply, necessary refueling of the trucks, and service time windows.", "keywords": [ "Truck", "Container (type theory)", "Transport engineering", "Vehicle routing problem", "Constraint (computer-aided design)", "Service (business)", "Business", "Matching (statistics)", "Traffic management", "Supply chain", "Routing (electronic design automation)", "Computer science" ], "cited_by_openalex": 2, "cited_by_scopus": "2", "eid": "2-s2.0-85144504160", "pii": "S240589632201816X", "open_access_url": "https://doi.org/10.1016/j.ifacol.2022.09.516", "sources": [ { "db": "openalex", "stream": "TRUCK", "query_id": "TRUCK-3" }, { "db": "scopus", "stream": "TRUCK", "query_id": "TRUCK-3" } ], "streams": [ "TRUCK" ], "relevance_signals": [ "TRUCK_NO_CTX" ], "auto_exclude_reason": "EC-4-topic", "screening_status": "auto_excluded", "screened_by": "auto-v1.0.0" }, { "id": "doi:10.2139/ssrn.4096498", "doi": "10.2139/ssrn.4096498", "title": "On a Pickup to Delivery Drone Routing Problem: Models and Algorithms", "year": 2022, "authors": [ "Alfredo Candia-Véjar", "Javier E. Gómez-Lagos", "Benjamín Rojas-Espinoza" ], "first_author": "Alfredo Candia-Véjar", "venue": "SSRN Electronic Journal", "volume": null, "pages": null, "type": "preprint", "language": "en", "abstract": null, "keywords": [ "Drone", "Travelling salesman problem", "Computer science", "Pickup", "Vehicle routing problem", "Mathematical optimization", "Job shop scheduling", "Scheduling (production processes)", "Solver", "GRASP", "Routing (electronic design automation)", "Distributed computing" ], "cited_by_openalex": 2, "cited_by_scopus": 0, "eid": null, "pii": null, "open_access_url": "https://doi.org/10.2139/ssrn.4096498", "sources": [ { "db": "openalex", "stream": "TRUCK", "query_id": "TRUCK-3" }, { "db": "openalex", "stream": "UAV", "query_id": "UAV-2" } ], "streams": [ "TRUCK", "UAV" ], "relevance_signals": [ "UAV_NO_CTX" ], "auto_exclude_reason": "EC-4-topic", "screening_status": "auto_excluded", "screened_by": "auto-v1.0.0" }, { "id": "doi:10.3310/pnoy9785", "doi": "10.3310/pnoy9785", "title": "A multicomponent structured health behaviour intervention to improve physical activity in long-distance HGV drivers: the SHIFT cluster RCT", "year": 2022, "authors": [ "Stacy A. Clemes", "Verónica Varela-Mato", "Danielle H. Bodicoat", "Cassandra L. Brookes", "Yuling Chen", "Edward Cox", "Charlotte L. Edwardson", "Laura J. Gray", "Amber J. Guest", "Vicki Johnson", "Fehmidah Munir", "Nicola J. Paine", "Gerry A. Richardson", "Katharina B. Ruettger", "Mohsen Sayyah", "Aron Peter Sherry", "Ana Suazo Di Paola", "Jacqui Troughton", "Simon Walker", "Thomas E. Yates", "James A. King" ], "first_author": "Stacy A. Clemes", "venue": "Public Health Research", "volume": null, "pages": null, "type": "article", "language": "en", "abstract": "Background Long-distance heavy goods vehicle drivers are exposed to a multitude of risk factors associated with their occupation. The working environment of heavy goods vehicle drivers provides limited opportunities for a healthy lifestyle, and, consequently, heavy goods vehicle drivers exhibit higher than nationally representative rates of obesity and obesity-related comorbidities, and are underserved in terms of health promotion initiatives. Objective The aim of this trial was to test the effectiveness and cost-effectiveness of the multicomponent Structured Health Intervention For Truckers (SHIFT) programme, compared with usual care, at both 6 months and 16–18 months. Design A two-arm cluster randomised controlled trial, including a cost-effectiveness analysis and process evaluation. Setting Transport depots throughout the Midlands region of the UK. Participants Heavy goods vehicle drivers. Intervention The 6-month SHIFT programme included a group-based interactive 6-hour education session, health coach support and equipment provision [including a Fitbit®(Fitbit Inc., San Francisco, CA, US) and resistance bands/balls to facilitate a ‘cab workout’]. Clusters were randomised following baseline measurements to either the SHIFT arm or the control arm. Main outcome measures Outcome measures were assessed at baseline, with follow-up assessments occurring at both 6 months and 16–18 months. The primary outcome was device-measured physical activity, expressed as mean steps per day, at 6-month follow-up. Secondary outcomes included device-measured sitting, standing, stepping, physical activity and sleep time (on any day, workdays and non-workdays), along with adiposity, biochemical measures, diet, blood pressure, psychophysiological reactivity, cognitive function, functional fitness, mental well-being, musculoskeletal symptoms and work-related psychosocial variables. Cost-effectiveness and process evaluation data were collected. Results A total of 382 participants (mean ± standard deviation age: 48.4 ± 9.4 years; mean ± standard deviation body mass index: 30.4 kg/m2 ± 5.1 kg/m2; 99% male) were recruited across 25 clusters. Participants were randomised (at the cluster level) to either the SHIFT arm (12 clusters,n = 183) or the control arm (13 clusters,n = 199). At 6 months, 209 (54.7%) participants provided primary outcome data. Significant differences in mean daily steps were found between arms, with participants in the SHIFT arm accumulating 1008 more steps per day than participants in the control arm (95% confidence interval 145 to 1871 steps;p = 0.022), which was largely driven by the maintenance of physical activity levels in the SHIFT arm and a decline in physical activity levels in the control arm. Favourable differences at 6 months were also seen in the SHIFT arm, relative to the control arm, in time spent sitting, standing and stepping, and time in moderate or vigorous activity. No differences between arms were observed at 16–18 months’ follow-up. No differences were observed between arms in the other secondary outcomes at either follow-up (i.e. 6 months and 16–18 months). The process evaluation demonstrated that the intervention was well received by participants and that the intervention reportedly had a positive impact on their health behaviours. The average total cost of delivering the SHIFT programme was £369.57 per driver, and resulting quality-adjusted life-years were similar across trial arms (SHIFT arm: 1.22, 95% confidence interval 1.19 to 1.25; control arm: 1.25, 95% confidence interval 1.22 to 1.27). Limitations A higher (31.4%) than anticipated loss to follow-up was experienced at 6 months, with fewer (54.7%) participants providing valid primary outcome data at 6 months. The COVID-19 pandemic presents a major confounding factor, which limits our ability to draw firm conclusions regarding the sustainability of the SHIFT programme. Conclusion The SHIFT programme had a degree of success in positively impacting physical activity levels and reducing sitting time in heavy goods vehicle drivers at 6-months; however, these differences were not maintained at 16–18 months. Future work Further work involving stakeholder engagement is needed to refine the content of the programme, based on current findings, followed by the translation of the SHIFT programme into a scalable driver training resource. Trial registration This trial is registered as ISRCTN10483894. Funding This project was funded by the National Institute for Health and Care Research (NIHR) Public Health Research programme and will be published in full inPublic Health Research; Vol. 10, No. 12. See the NIHR Journals Library website for further project information.", "keywords": [ "Randomized controlled trial", "Physical therapy", "Medicine", "Cluster randomised controlled trial", "Intervention (counseling)", "Obesity", "Health promotion", "Cluster (spacecraft)", "Gerontology", "Public health", "Nursing", "Surgery" ], "cited_by_openalex": 2, "cited_by_scopus": 0, "eid": null, "pii": null, "open_access_url": "https://njl-admin.nihr.ac.uk/document/download/2041656", "sources": [ { "db": "openalex", "stream": "TRUCK", "query_id": "TRUCK-3" } ], "streams": [ "TRUCK" ], "relevance_signals": [ "TRUCK_NO_CTX" ], "auto_exclude_reason": "EC-4-topic", "screening_status": "auto_excluded", "screened_by": "auto-v1.0.0" }, { "id": "doi:10.51680/ev.35.2.8", "doi": "10.51680/ev.35.2.8", "title": "Drone last mile delivery: An assessment of the viable market and security potential of drone delivery", "year": 2022, "authors": [ "Igor Grofelnik", "Uroš Godnov", "Marjan Sternad" ], "first_author": "Igor Grofelnik", "venue": "Ekonomski vjesnik", "volume": null, "pages": null, "type": "article", "language": "en", "abstract": "Purpose: the paper includes a review of the literature in the field of drones, drone technology, possible implementation in the field of the last mile concept, legislation, suitability of technology in the field of security, weather conditions, social acceptance and later focuses on checking the possible implementation of drones according to the set parameters. Methodology: for the purposes of research and obtaining answers to the posed research question and hypotheses, we used the method of literature review in the selected field, panel data analysis, conducted interviews with experts in the field of delivery drones in the Republic of Slovenia, and conducted secondary research. Results: the results show an assessment of the possible implementation of drones based on the analysis of the obtained data and interviews. We determined a realistic assessment of the potential of delivery drones, in which we included several vital aspects necessary for implementation. Conclusion: it was found that the current technology is not yet fully adequate, and significant technological improvements are also needed. It is also necessary to plan integrated urban spatial solutions that will enable safe and efficient delivery in the supply chain. Namely, delivery with drones is currently ineffective due to flight safety, harmful sound emissions and the inability to fly in bad weather conditions. Based on a literature review and a survey among large logistics companies, it was found that there are still many barriers to implementation due to legal norms and regulations, which are currently very constructive. It is unlikely, however, that parcel delivery will take off in an urban environment soon, as there are still many unknowns. With proper planning and use of suburban consolidation centres, e-vans, e-cars and bicycles are currently economically viable for last mile delivery.", "keywords": [ "Drone", "Field (mathematics)", "Legislation", "Delivery Performance", "Business", "Plan (archaeology)", "Risk analysis (engineering)", "Computer science", "Computer security", "Process management", "Political science", "Geography" ], "cited_by_openalex": 2, "cited_by_scopus": 0, "eid": null, "pii": null, "open_access_url": "https://hrcak.srce.hr/ojs/index.php/ekonomski-vjesnik/article/download/24683/13067", "sources": [ { "db": "openalex", "stream": "UAV", "query_id": "UAV-1" } ], "streams": [ "UAV" ], "relevance_signals": [ "UAV" ], "auto_exclude_reason": null, "screening_status": "pending_human_screening", "screened_by": "auto-v1.0.0" }, { "id": "doi:10.2139/ssrn.4065011", "doi": "10.2139/ssrn.4065011", "title": "Feasibility of Drones & Agvs in the Last Mile Delivery: Lessons from Germany", "year": 2022, "authors": [ "Christian Fehling", "Adriana Saraceni" ], "first_author": "Christian Fehling", "venue": "SSRN Electronic Journal", "volume": null, "pages": null, "type": "preprint", "language": "en", "abstract": null, "keywords": [ "Mile", "Last mile (transportation)", "Drone", "Business", "Process (computing)", "Service delivery framework", "Analytic hierarchy process", "Service (business)", "Process management", "Transport engineering", "Operations management", "Engineering" ], "cited_by_openalex": 2, "cited_by_scopus": 0, "eid": null, "pii": null, "open_access_url": "https://doi.org/10.2139/ssrn.4065011", "sources": [ { "db": "openalex", "stream": "UAV", "query_id": "UAV-1" } ], "streams": [ "UAV" ], "relevance_signals": [ "UAV" ], "auto_exclude_reason": null, "screening_status": "pending_human_screening", "screened_by": "auto-v1.0.0" }, { "id": "doi:10.5220/0010983100003117", "doi": "10.5220/0010983100003117", "title": "Addressing the Challenges of Last-mile: The Drone Routing Problem with Shared Fulfillment Centers", "year": 2022, "authors": [ "Maria Elena Bruni", "Sara Khodaparasti" ], "first_author": "Maria Elena Bruni", "venue": "International Conference on Operations Research and Enterprise Systems", "volume": null, "pages": "362-367", "type": "conference-paper", "language": "en", "abstract": null, "keywords": [ "Drone", "Mile", "Routing (electronic design automation)", "Last mile (transportation)", "Computer science", "Computer network", "Geography" ], "cited_by_openalex": 2, "cited_by_scopus": "2", "eid": "2-s2.0-85137717935", "pii": null, "open_access_url": "https://doi.org/10.5220/0010983100003117", "sources": [ { "db": "openalex", "stream": "UAV", "query_id": "UAV-1" }, { "db": "openalex", "stream": "UAV", "query_id": "UAV-2" }, { "db": "scopus", "stream": "UAV", "query_id": "UAV-1" }, { "db": "scopus", "stream": "UAV", "query_id": "UAV-2" } ], "streams": [ "UAV" ], "relevance_signals": [ "UAV" ], "auto_exclude_reason": null, "screening_status": "pending_human_screening", "screened_by": "auto-v1.0.0" }, { "id": "doi:10.1007/978-3-031-16579-5_14", "doi": "10.1007/978-3-031-16579-5_14", "title": "Integrated Path Planning and Task Assignment Model for On-Demand Last-Mile UAV-Based Delivery", "year": 2022, "authors": [ "Jose Javier Escribano Macias", "Huan Chang", "Panagiotis Angeloudis" ], "first_author": "Jose Javier Escribano Macias", "venue": "Lecture notes in computer science", "volume": "13557 LNCS", "pages": "198-213", "type": "conference-paper", "language": "en", "abstract": null, "keywords": [ "Computer science", "Task (project management)", "Integer programming", "Heuristic", "Operations research", "Path (computing)", "Dynamic programming", "Assignment problem", "Reinforcement learning", "Stochastic programming", "Mathematical optimization", "Baseline (sea)" ], "cited_by_openalex": 2, "cited_by_scopus": "2", "eid": "2-s2.0-85138815529", "pii": null, "open_access_url": "https://doi.org/10.1007/978-3-031-16579-5_14", "sources": [ { "db": "openalex", "stream": "UAV", "query_id": "UAV-1" }, { "db": "openalex", "stream": "UAV", "query_id": "UAV-2" }, { "db": "scopus", "stream": "UAV", "query_id": "UAV-1" } ], "streams": [ "UAV" ], "relevance_signals": [ "UAV" ], "auto_exclude_reason": null, "screening_status": "pending_human_screening", "screened_by": "auto-v1.0.0" }, { "id": "doi:10.54660/.ijmrge.2022.3.1.887-892", "doi": "10.54660/.ijmrge.2022.3.1.887-892", "title": "Innovating Last-Mile Delivery Post-Pandemic: A Dual-Continent Framework for Leveraging Robotics and AI", "year": 2022, "authors": [ "Ogechi Thelma Uzozie", "Osazee Onaghinor", "Oluwafunmilayo Janet Esan" ], "first_author": "Ogechi Thelma Uzozie", "venue": "International Journal of Multidisciplinary Research and Growth Evaluation", "volume": null, "pages": null, "type": "article", "language": "en", "abstract": "The COVID-19 pandemic significantly disrupted traditional logistics and delivery models, prompting a shift toward more innovative and efficient solutions in the last-mile delivery sector. This paper examines the role of robotics and artificial intelligence (AI) in transforming last-mile delivery systems, focusing on a dual-continent framework that explores their adoption in both developed and emerging economies. The literature review synthesizes key findings regarding the impact of the pandemic on delivery systems, highlighting how robotics, such as drones and autonomous vehicles, alongside AI technologies like route optimization and demand forecasting, have been leveraged to enhance delivery efficiency. The review also delves into regional differences in technology adoption, analyzing challenges and opportunities specific to advanced and developing markets. The paper concludes by discussing the implications for business practices and policymaking, emphasizing the need for clear regulatory frameworks and infrastructure development. It identifies gaps in the current research, particularly concerning the long-term sustainability, employment impact, and potential for further technological innovation in last-mile delivery. This paper contributes valuable insights into the future trajectory of last-mile delivery systems and provides directions for further research to address existing gaps.", "keywords": [ "Mile", "Dual (grammatical number)", "Pandemic", "Robotics", "Coronavirus disease 2019 (COVID-19)", "Artificial intelligence", "2019-20 coronavirus outbreak", "Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2)", "Drone", "Last mile (transportation)", "Computer science", "Aeronautics" ], "cited_by_openalex": 2, "cited_by_scopus": 0, "eid": null, "pii": null, "open_access_url": "https://www.allmultidisciplinaryjournal.com/uploads/archives/20250412183515_MGE-2025-2-260.1.pdf", "sources": [ { "db": "openalex", "stream": "UAV", "query_id": "UAV-1" } ], "streams": [ "UAV" ], "relevance_signals": [ "UAV" ], "auto_exclude_reason": null, "screening_status": "pending_human_screening", "screened_by": "auto-v1.0.0" }, { "id": "doi:10.30880/paat.2022.02.01.006", "doi": "10.30880/paat.2022.02.01.006", "title": "The Structural Design and Aerodynamics Analysis for a Hybrid VTOL Fixed-Wing Drone for Parcel Delivery Applications", "year": 2022, "authors": [ "Universiti Tun Hussein Onn Malaysia (UTHM)", "Seyhrvin Kumar Chakraverty", "Mohd Fadhli Zulkafli", "Universiti Tun Hussein Onn Malaysia (UTHM)", "Mohammad Fahmi Pairan", "Universiti Tun Hussein Onn Malaysia (UTHM)", "Mohamad Nadjmi Mohd Shakir See", "Universiti Tun Hussein Onn Malaysia (UTHM)", "Izzat Khair Mahmud", "Universiti Tun Hussein Onn Malaysia (UTHM)" ], "first_author": "Universiti Tun Hussein Onn Malaysia (UTHM)", "venue": "Progress in Aerospace and Aviation Technology", "volume": null, "pages": null, "type": "article", "language": "en", "abstract": "A number of companies are experimenting with multicopter drones to deliver items to clients. Because electric planes have a restricted range, their flight range is usually limited. However, if propelled by gasoline, electric multicopter drones can only travel a short distance because of high power consumption and noise difficulties. Despite their lower aerodynamic efficiency than fixed-wing aircraft, multicopters' ability to perform vertical take-off and landing (VTOL) makes them an ideal delivery vehicles. A hybrid fixed-wing VTOL system with a tilting system that alters the flight mode could be an upgradeto the current design of hybrid fixed wing VTOL. The goal is to effectively manufacture a fixed-wing drone with an appropriate structural design and a functional tilting mechanism that can take off vertically. SolidWorks and SIMNET aero were the two approaches used throughout the design software. The drone's aerodynamic qualities were investigated in order to better understand its behaviour, such as range of flight at a given altitude, stall speed, and maximum lift created, in order to determine the maximum parcel weight the drone can carry. The drone was built using SolidWorks 3D-Solid modelling and SIMNET aero design software. The tilting mechanism is 3D printed with Polylactic Acid (PLA) material since it is both light and strong. The structural strength can also be altered by changing the in-fill. After the drone was manufactured,numerous test flights were made to examine the drone's actual behaviour and enhance its functionality. The drone's theoretical stall speed was determined to be 12.74 m/s with a maximum payload of 500g and 11.43 m/s at no load. The maximum glide distance was estimated to be 1.2 kilometres. The drone yaws to the left during test flights at a rate of 63.43 degrees per second and 4.879 degrees per second at 50% throttle. It slanted to the front, nose down, with a weight of 516 g while support was given at the tip of the left wing. The pitch rate was 2.5 degrees per second without a payload and 3.12 degrees per second with the 516g payload. With further design and calibration advancements, experimental findings that are comparable to theoretical outcomes might be possible.", "keywords": [ "Drone", "Stall (fluid mechanics)", "Aerodynamics", "Aerospace engineering", "Wing", "Wing loading", "Airplane", "Computer science", "Engineering", "Automotive engineering", "Simulation", "Angle of attack" ], "cited_by_openalex": 2, "cited_by_scopus": 0, "eid": null, "pii": null, "open_access_url": "https://publisher.uthm.edu.my/ojs/index.php/paat/article/download/10983/5177/52977", "sources": [ { "db": "openalex", "stream": "UAV", "query_id": "UAV-1" } ], "streams": [ "UAV" ], "relevance_signals": [ "UAV" ], "auto_exclude_reason": null, "screening_status": "pending_human_screening", "screened_by": "auto-v1.0.0" }, { "id": "doi:10.1109/candarw57323.2022.00068", "doi": "10.1109/candarw57323.2022.00068", "title": "Delivery Routing to Reduce Calculation Load of Drones on Divided Logistics Areas for Drone Logistics Networks", "year": 2022, "authors": [ "Kazuya Matsutani", "Shigetomo Kimura" ], "first_author": "Kazuya Matsutani", "venue": "Proceedings 2022 10th International Symposium on Computing and Networking Workshops Candarw 2022", "volume": null, "pages": "44-47", "type": "conference-paper", "language": "en", "abstract": "In a drone logistics system, a message delivery system in which the drone delivers messages for other users on the way to a parcel delivery destination has been proposed. To reduce the complexity of message delivery routes, this paper proposes a message delivery method that divides logistics areas and determines the message delivery routes in each area. The method also makes it possible for a later departure drone and an early departure drone to exchange information to add, cancel, and/or exchange their messages and delivery points. The simulation experiments show that compared with the previous method, the proposed method has lower computational complexity and can be assumed to cover almost the same the average delivery distance. It is also shown that when an early departure drone and a later departure drone exchange many message delivery points, the average delivery distance is reduced.", "keywords": [ "Drone", "Computer science", "Routing (electronic design automation)", "Cover (algebra)", "Information exchange", "Computer network", "Operations research", "Engineering", "Telecommunications" ], "cited_by_openalex": 2, "cited_by_scopus": "2", "eid": "2-s2.0-85158951950", "pii": null, "open_access_url": "http://dx.doi.org/10.1109/candarw57323.2022.00068", "sources": [ { "db": "openalex", "stream": "UAV", "query_id": "UAV-1" }, { "db": "scopus", "stream": "UAV", "query_id": "UAV-1" } ], "streams": [ "UAV" ], "relevance_signals": [ "UAV" ], "auto_exclude_reason": null, "screening_status": "pending_human_screening", "screened_by": "auto-v1.0.0" }, { "id": "doi:10.48550/arxiv.2201.07992", "doi": "10.48550/arxiv.2201.07992", "title": "Electric Vehicle Traveling Salesman Problem with Drone with Fixed-time-full-charge Policy", "year": 2022, "authors": [ "Tengkuo Zhu", "Stephen D. Boyles", "Avinash Unnikrishnan" ], "first_author": "Tengkuo Zhu", "venue": "arXiv (Cornell University)", "volume": null, "pages": null, "type": "preprint", "language": "en", "abstract": "The idea of deploying electric vehicles and unmanned aerial vehicles (UAVs), also known as drones, to perform \"last-mile\" delivery in logistics operations has attracted increasing attention in the past few years. In this paper, we propose the electric vehicle traveling salesman problem with drone (EVTSPD), in which the electric vehicle (EV) and the drone perform delivery tasks coordinately while the electric vehicle may need to visit charging stations occasionally to recharge. We further assume that the EV can refresh its energy to full battery capacity with fixed time at charging stations. Thus, the proposed problem is termed EVTSPD-FF. In this paper, an arc-based mixed-integer programming model defined in a multigraph is presented for EVTSPD-FF. An exact branch-and-price (BP) algorithm and a variable neighborhood search heuristic are developed to solve instances with up to 25 customers in one minute. Numerical experiments show that the heuristic is much more efficient than solving the arc-based model using the ILOG CPLEX solver and BP algorithm. A real-world case study on the Austin network and the sensitivity analysis of different parameters are also conducted and presented. The results indicate that drone speed has a more significant effect on delivery time than the EV's driving range.", "keywords": [ "Drone", "Travelling salesman problem", "Solver", "2-opt", "Computer science", "Electric vehicle", "Heuristic", "Mathematical optimization", "Bottleneck traveling salesman problem", "Traveling purchaser problem", "Battery (electricity)", "Driving range" ], "cited_by_openalex": 2, "cited_by_scopus": 0, "eid": null, "pii": null, "open_access_url": "https://arxiv.org/pdf/2201.07992", "sources": [ { "db": "openalex", "stream": "UAV", "query_id": "UAV-1" } ], "streams": [ "UAV" ], "relevance_signals": [ "UAV" ], "auto_exclude_reason": null, "screening_status": "pending_human_screening", "screened_by": "auto-v1.0.0" }, { "id": "doi:10.1007/978-981-16-9492-9_149", "doi": "10.1007/978-981-16-9492-9_149", "title": "Hybridization of Variable Neighborhood Search and Simulated Annealing for the Collaborative Truck-Drone Routing Problem", "year": 2022, "authors": [ "Qizhang Luo", "Guohua Wu", "Ni Mao", "Jianmai Shi" ], "first_author": "Qizhang Luo", "venue": "Lecture notes in electrical engineering", "volume": "861 LNEE", "pages": "1505-1515", "type": "conference-paper", "language": "en", "abstract": null, "keywords": [ "Simulated annealing", "Drone", "Metaheuristic", "Vehicle routing problem", "Variable neighborhood search", "Computer science", "Benchmark (surveying)", "Truck", "Variable (mathematics)", "Mathematical optimization", "Routing (electronic design automation)", "Engineering" ], "cited_by_openalex": 2, "cited_by_scopus": "2", "eid": "2-s2.0-85130893943", "pii": null, "open_access_url": "https://doi.org/10.1007/978-981-16-9492-9_149", "sources": [ { "db": "openalex", "stream": "UAV", "query_id": "UAV-1" }, { "db": "openalex", "stream": "UAV", "query_id": "UAV-2" }, { "db": "scopus", "stream": "TRUCK", "query_id": "TRUCK-1" }, { "db": "scopus", "stream": "UAV", "query_id": "UAV-1" }, { "db": "scopus", "stream": "UAV", "query_id": "UAV-2" } ], "streams": [ "TRUCK", "UAV" ], "relevance_signals": [ "UAV_NO_CTX", "TRUCK_NO_CTX" ], "auto_exclude_reason": "EC-4-topic", "screening_status": "auto_excluded", "screened_by": "auto-v1.0.0" }, { "id": "doi:10.1109/icuas54217.2022.9836157", "doi": "10.1109/icuas54217.2022.9836157", "title": "Preliminary Ground Risk Tiering for Small Unmanned Aerial Vehicles (sUAV) in Metropolitan Environments", "year": 2022, "authors": [ "Anush Kumar Sivakumar", "Mohd Hasrizam Che Man", "Kin Huat Low" ], "first_author": "Anush Kumar Sivakumar", "venue": "2022 International Conference on Unmanned Aircraft Systems (ICUAS)", "volume": null, "pages": "1083-1090", "type": "conference-paper", "language": "en", "abstract": "Unmanned aircraft systems (UAS) are anticipated to increase in the future and be employed for a variety of applications such as parcel delivery, structural inspections, aerial photography, and surveillance. However, the growth of the UAS industry is impeded by delayed operational approvals and risk assessments. This is likely due to the limited knowledge on the third-party risk (TPR) of UAS operation in the environment. For metropolitan environments like Singapore, the operation of UAS pose high risk to the population on ground due to high population density. Hence, it is of vital importance to assess the ground risk of UAS operations and to subsequently demarcate low, medium, and high areas within the city. In our preliminary study, a ground risk framework, adapted from Joint Authorities for Rulemaking of Unmanned Systems (JARUS) Specific Operations Risk Assessment (SORA), and a semi-quantitative ground risk matrix was established to quantitatively generate UAS failure rate thresholds as well as perform ground risk-tiering of neighborhoods. Ground risk mapping was illustrated for UAS of four different maximum take-off weight (MTOW). It was observed that larger UAS had increased ground risk especially in areas with highly dense population. Study of ground risk in urbanized environments will provide insights on the level of safety required for UAS operations. This could aid aviation authorities in formulating comprehensive risk assessments and reduce the time required to approve UAS operations in metropolitan environments. However, it is noteworthy that further studies are required to validate the results of the risk matrix.", "keywords": [ "Metropolitan area", "Population", "Risk assessment", "Risk analysis (engineering)", "Work (physics)", "Transport engineering", "Computer science", "Engineering", "Geography", "Business", "Computer security", "Environmental health" ], "cited_by_openalex": 1, "cited_by_scopus": "2", "eid": "2-s2.0-85136100692", "pii": null, "open_access_url": "https://dr.ntu.edu.sg/bitstream/10356/160615/2/220_ICUAS22_FinalSubmission.pdf", "sources": [ { "db": "openalex", "stream": "UAV", "query_id": "UAV-1" }, { "db": "scopus", "stream": "UAV", "query_id": "UAV-1" } ], "streams": [ "UAV" ], "relevance_signals": [ "UAV" ], "auto_exclude_reason": null, "screening_status": "pending_human_screening", "screened_by": "auto-v1.0.0" }, { "id": "doi:10.1109/mspec.2022.9676362", "doi": "10.1109/mspec.2022.9676362", "title": "Flying Pallets Without Pilots: A drone startup will test a radical new vision of long-range cargo transport in Europe", "year": 2022, "authors": [ "Philip E. Ross" ], "first_author": "Philip E. Ross", "venue": "IEEE Spectrum", "volume": "59", "pages": "30-31", "type": "article", "language": "en", "abstract": "Delivering things by drone began as a stunt in 2012, when a model airplane dropped a burrito by parachute to a hungry customer waiting below. The concept then graduated, first to a proof-of-principle venture in Iceland using multicopters, then to a well-funded Amazon project in the United Kingdom. But these and similar attempts to solve the last-mile problem―the mile leading to the customer―have largely been disappointing. Amazon recently scaled back its drone-based delivery project in the U.K.", "keywords": [ "Drone", "Aeronautics", "Mile", "Engineering", "Airplane", "Pallet", "Last mile (transportation)", "Launched", "Test (biology)", "Range (aeronautics)", "Transport engineering", "Operations research" ], "cited_by_openalex": 2, "cited_by_scopus": "2", "eid": "2-s2.0-85123611990", "pii": null, "open_access_url": "https://doi.org/10.1109/mspec.2022.9676362", "sources": [ { "db": "openalex", "stream": "UAV", "query_id": "UAV-1" }, { "db": "openalex", "stream": "UAV", "query_id": "UAV-3" }, { "db": "scopus", "stream": "UAV", "query_id": "UAV-1" }, { "db": "scopus", "stream": "UAV", "query_id": "UAV-3" } ], "streams": [ "UAV" ], "relevance_signals": [ "UAV" ], "auto_exclude_reason": null, "screening_status": "pending_human_screening", "screened_by": "auto-v1.0.0" }, { "id": "doi:10.23919/acc53348.2022.9867361", "doi": "10.23919/acc53348.2022.9867361", "title": "Extension of Traveling Salesperson Problem with Drone for Manufacturing Digital Twin Data Collection", "year": 2022, "authors": [ "Sarah G. Garrow", "Shankar Narayan Mohan" ], "first_author": "Sarah G. Garrow", "venue": "2022 American Control Conference (ACC)", "volume": "2022-June", "pages": "4056-4061", "type": "conference-paper", "language": "en", "abstract": "This work investigates dual-agent path planning for marsupial robots with different energy time scales. We extend upon the studied Traveling Salesman Problem with Drone (TSP-D) originally formulated for last-mile package delivery. We contribute a drone energy model and constraints to allow for drone dock charging in a variation we refer to as the TSP-D with Energy Management. A moving-horizon heuristic method is also proposed to reduce the computational load and allow for on-line system feedback. We demonstrate that this heuristic method is computationally more efficient and provides significant path time savings as compared to a single agent solution. Furthermore, it enables the desired system feedback.", "keywords": [ "Drone", "Travelling salesman problem", "Computer science", "Heuristic", "2-opt", "Motion planning", "Mathematical optimization", "Extension (predicate logic)", "Robot", "Path (computing)", "Real-time computing", "Distributed computing" ], "cited_by_openalex": 1, "cited_by_scopus": "2", "eid": "2-s2.0-85138490887", "pii": null, "open_access_url": "https://doi.org/10.23919/acc53348.2022.9867361", "sources": [ { "db": "openalex", "stream": "UAV", "query_id": "UAV-1" }, { "db": "scopus", "stream": "UAV", "query_id": "UAV-1" } ], "streams": [ "UAV" ], "relevance_signals": [ "UAV" ], "auto_exclude_reason": null, "screening_status": "pending_human_screening", "screened_by": "auto-v1.0.0" }, { "id": "doi:10.1007/978-981-19-2635-8_71", "doi": "10.1007/978-981-19-2635-8_71", "title": "Multi-agent Reinforcement Learning-Based UAS Control for Logistics Environments", "year": 2022, "authors": [ "Hyungeun Jo", "Hoeun Lee", "Sangwoo Jeon", "Vishnu Kumar Kaliappan", "Tuấn Anh Nguyễn", "Dugki Min", "Jae Wook Lee" ], "first_author": "Hyungeun Jo", "venue": "Lecture notes in electrical engineering", "volume": "913", "pages": "963-972", "type": "conference-paper", "language": "en", "abstract": null, "keywords": [ "Reinforcement learning", "Drone", "Computer science", "Landmark", "Multi-agent system", "Control (management)", "Artificial intelligence", "Human–computer interaction" ], "cited_by_openalex": 6, "cited_by_scopus": "2", "eid": "2-s2.0-85140454754", "pii": null, "open_access_url": "https://doi.org/10.1007/978-981-19-2635-8_71", "sources": [ { "db": "openalex", "stream": "UAV", "query_id": "UAV-1" }, { "db": "scopus", "stream": "UAV", "query_id": "UAV-1" } ], "streams": [ "UAV" ], "relevance_signals": [ "UAV_NO_CTX" ], "auto_exclude_reason": "EC-4-topic", "screening_status": "auto_excluded", "screened_by": "auto-v1.0.0" }, { "id": "doi:10.2139/ssrn.4066378", "doi": "10.2139/ssrn.4066378", "title": "Multi-Depot Electric Vehicle and Drones Synchronized Delivery Routing Problem Under Time-Dependent Networks", "year": 2022, "authors": [ "Hao Fan", "Yueguang Zhang", "Houming Fan" ], "first_author": "Hao Fan", "venue": "SSRN Electronic Journal", "volume": null, "pages": null, "type": "preprint", "language": "en", "abstract": null, "keywords": [ "Drone", "Depot", "Vehicle routing problem", "Routing (electronic design automation)", "Electric vehicle", "Computer science", "Engineering", "Computer network", "Biology", "Physics", "Geography", "Power (physics)" ], "cited_by_openalex": 2, "cited_by_scopus": 0, "eid": null, "pii": null, "open_access_url": "https://doi.org/10.2139/ssrn.4066378", "sources": [ { "db": "openalex", "stream": "UAV", "query_id": "UAV-2" } ], "streams": [ "UAV" ], "relevance_signals": [ "UAV_NO_CTX" ], "auto_exclude_reason": "EC-4-topic", "screening_status": "auto_excluded", "screened_by": "auto-v1.0.0" }, { "id": "doi:10.1109/compauto55930.2022.00008", "doi": "10.1109/compauto55930.2022.00008", "title": "Drones-aided Asset Maintenance in Hospitals", "year": 2022, "authors": [ "Muhammad Asif Khan", "Hamid Menouar", "Ridha Hamila" ], "first_author": "Muhammad Asif Khan", "venue": "Proceedings 2022 2nd International Conference on Computers and Automation Compauto 2022", "volume": null, "pages": "1-5", "type": "conference-paper", "language": "en", "abstract": "The rapid outbreak of COVID-19 pandemic invoked scientists and researchers to prepare the world for future disasters. During the pandemic, global authorities on healthcare urged the importance of disinfection of objects and surfaces. To implement efficient and safe disinfection services during the pandemic, robots have been utilized for indoor assets. In this paper, we envision the use of drones for disinfection of outdoor assets in hospitals and other facilities. Such heterogeneous assets may have different service demands (e.g., service time, quantity of the disinfectant material etc.), whereas drones have typically limited capacity (i.e., travel time, disinfectant carrying capacity). To serve all the facility assets in an efficient manner, the drone to assets allocation and drone travel routes must be optimized. In this paper, we formulate the capacitated vehicle routing problem (CVRP) to find optimal route for each drone such that the total service time is minimized, while simultaneously the drones meet the demands of each asset allocated to it. The problem is solved using mixed integer programming (MIP). As CVRP is an NP-hard problem, we propose a lightweight heuristic to achieve sub-optimal performance while reducing the time complexity in solving the problem involving a large number of assets.", "keywords": [ "Drone", "Service (business)", "Asset (computer security)", "Heuristic", "Computer science", "Pandemic", "Vehicle routing problem", "Routing (electronic design automation)", "Operations research", "Coronavirus disease 2019 (COVID-19)", "Business", "Computer security" ], "cited_by_openalex": 2, "cited_by_scopus": "2", "eid": "2-s2.0-85148485628", "pii": null, "open_access_url": "https://doi.org/10.1109/compauto55930.2022.00008", "sources": [ { "db": "openalex", "stream": "UAV", "query_id": "UAV-2" }, { "db": "scopus", "stream": "UAV", "query_id": "UAV-2" } ], "streams": [ "UAV" ], "relevance_signals": [ "UAV_NO_CTX" ], "auto_exclude_reason": "EC-4-topic", "screening_status": "auto_excluded", "screened_by": "auto-v1.0.0" }, { "id": "doi:10.48550/arxiv.2209.04057", "doi": "10.48550/arxiv.2209.04057", "title": "Drone Deployment Optimization for Direct Delivery with Time Windows and Battery Replacements", "year": 2022, "authors": [ "Tanveer Hossain Bhuiyan", "Mohammad Roni", "Victor Walker" ], "first_author": "Tanveer Hossain Bhuiyan", "venue": "arXiv (Cornell University)", "volume": null, "pages": null, "type": "preprint", "language": "en", "abstract": "Aerial drones offer a distinct potential to reduce the delivery time and energy consumption for the delivery of time-sensitive and small products. However, there is still a need in the relevant industry to understand the performance of drone-based delivery under different business needs and drone operating conditions. We studied a drone deployment optimization problem for direct delivery of goods to customers maintaining a specified time window. This paper presents a new mathematical optimization-based decision-making methodology to help business owners optimally route their drone fleet minimizing the total energy consumption, required fleet size, and the required number of additional batteries. A realistic feature of the optimization method is that instead of replacing the drone battery after each return to the depot, it keeps track of the remaining energy in the drone battery and decides on battery replacements accounting for the drone routing and the user-specified minimum required battery energy. Numerical results based on real drone flight tests and delivery data provide insights into the effect of different drone operating parameters on the energy consumption, required fleet size, and the required number of battery replacements. Results from a case study show that the total energy consumption, required fleet size, and the required number of battery replacements increase by 72.22%, 22.2%, and 200%, respectively, as the drones fly over the road networks compared to flying in a straight path. Additionally, results show that using a mixed fleet of hexacopter and quadcopter drones reduces the total energy consumption by 48.52% compared to using a homogeneous fleet of only hexacopters.", "keywords": [ "Drone", "Quadcopter", "Battery (electricity)", "Software deployment", "Energy consumption", "Computer science", "Automotive engineering", "Simulation", "Real-time computing", "Engineering", "Electrical engineering", "Aerospace engineering" ], "cited_by_openalex": 2, "cited_by_scopus": 0, "eid": null, "pii": null, "open_access_url": "https://arxiv.org/pdf/2209.04057", "sources": [ { "db": "openalex", "stream": "UAV", "query_id": "UAV-2" }, { "db": "openalex", "stream": "UAV", "query_id": "UAV-3" } ], "streams": [ "UAV" ], "relevance_signals": [ "UAV_NO_CTX" ], "auto_exclude_reason": "EC-4-topic", "screening_status": "auto_excluded", "screened_by": "auto-v1.0.0" }, { "id": "doi:10.1080/10556788.2022.2053972", "doi": "10.1080/10556788.2022.2053972", "title": "Length-constrained cycle partition with an application to UAV routing*", "year": 2022, "authors": [ "Kai Hoppmann‐Baum", "Oleg P. Burdakov", "Gioni Mexi", "Carl Johan Casselgren", "Thorsten Koch" ], "first_author": "Kai Hoppmann‐Baum", "venue": "Optimization methods & software", "volume": "37", "pages": "2080-2116", "type": "article", "language": "en", "abstract": "This article discusses the Length-Constrained Cycle Partition Problem (LCCP), which constitutes a new generalization of the Travelling Salesperson Problem (TSP). Apart from nonnegative edge weights, the undirected graph in LCCP features a nonnegative critical length parameter for each vertex. A cycle partition, i.e. a vertex-disjoint cycle cover, is a feasible solution for LCCP if the length of each cycle is not greater than the critical length of each vertex contained in it. The goal is to find a feasible partition having a minimum number of cycles. Besides analyzing theoretical properties and developing preprocessing techniques, we propose an elaborate heuristic algorithm that produces solutions of good quality even for large-size instances. Moreover, we present two exact mixed-integer programming formulations (MIPs) for LCCP, which are inspired by well-known modeling approaches for TSP. Further, we introduce the concept of conflict hypergraphs, whose cliques yield valid constraints for the MIP models. We conclude with a discussion on computational experiments that we conducted using (A)TSPLIB-based problem instances. As a motivating example application, we describe a routing problem where a fleet of uncrewed aerial vehicles (UAVs) must patrol a given set of areas.", "keywords": [ "Partition (number theory)", "Computer science", "Mathematics", "Combinatorics" ], "cited_by_openalex": 4, "cited_by_scopus": "2", "eid": "2-s2.0-85130342138", "pii": null, "open_access_url": "https://doi.org/10.1080/10556788.2022.2053972", "sources": [ { "db": "openalex", "stream": "UAV", "query_id": "UAV-2" }, { "db": "scopus", "stream": "UAV", "query_id": "UAV-2" } ], "streams": [ "UAV" ], "relevance_signals": [ "UAV_NO_CTX" ], "auto_exclude_reason": "EC-4-topic", "screening_status": "auto_excluded", "screened_by": "auto-v1.0.0" }, { "id": "doi:10.1109/icaiss55157.2022.10010870", "doi": "10.1109/icaiss55157.2022.10010870", "title": "A Critical Simulated Analysis of 5G based Aerial Vehicle Routings using NS3", "year": 2022, "authors": [ "Hemant Kumar Saini", "Gurleen Kaur", "Kusum Lata Jain" ], "first_author": "Hemant Kumar Saini", "venue": "2022 International Conference on Augmented Intelligence and Sustainable Systems (ICAISS)", "volume": null, "pages": "1031-1035", "type": "conference-paper", "language": "en", "abstract": "In this paper a quick survey and similar investigation of the adhoc steering conventions utilized in aerial network will be introduced. The exploration documented in airborne adhoc network (AANET) is growing exceptionally quick. A broad assortment of usages has been served under different circumstances (Roadway, metropolitan, and Urban communities). Numerous conventions have been taken on to serve different geography and situations, these conventions confronted different difficulties. AANETs give correspondence between vehicles continuing on the air. The steering conventions in AANET are impacted by the vehicle fast which prompts oftentimes connect breaks between the conveyed vehicles, so the adhoc directing conventions are adjusted with the AANET attributes to convey the information between vehicles in brief time frame. The fundamental objective of AANET is to collect an information framework among vehicles that are continuing broadcasting in real time, which empowers the vehicles to speak with one another for the security habits. In this paper, an undertaking has been made to think about the aerial vehicles in both 3D and 2D situations which without a doubt comprehended conventions AODV, DSR, OLSR, DSDV utilized in AANET according to the viewpoint of PDR, end to end delay, throughput, signifies the suitability of uavs in 3D and also proven the best routing for flight performance is by AODV. This effects a great deal in helping the 5G correspondence at high elevations with same environmental factors of UAVs to keep up with the organization.", "keywords": [ "Computer science", "Metropolitan area", "Wireless ad hoc network", "Identifier", "Vehicular ad hoc network", "Frame (networking)", "Transport engineering", "Throughput", "Mobile ad hoc network", "Broadcasting (networking)", "Operations research", "Computer security" ], "cited_by_openalex": 1, "cited_by_scopus": "2", "eid": "2-s2.0-85147548410", "pii": null, "open_access_url": "http://dx.doi.org/10.1109/icaiss55157.2022.10010870", "sources": [ { "db": "openalex", "stream": "UAV", "query_id": "UAV-2" }, { "db": "scopus", "stream": "UAV", "query_id": "UAV-2" } ], "streams": [ "UAV" ], "relevance_signals": [ "UAV_NO_CTX" ], "auto_exclude_reason": "EC-4-topic", "screening_status": "auto_excluded", "screened_by": "auto-v1.0.0" }, { "id": "doi:10.23919/ccc55666.2022.9902609", "doi": "10.23919/ccc55666.2022.9902609", "title": "Route Planning Based on Deep Reinforcement Learning to Minimize Energy Consumption in UAV Photogrammetry", "year": 2022, "authors": [ "Hongjie Wang", "Shengxuan Xu", "Linlin Qin", "Gang Wu" ], "first_author": "Hongjie Wang", "venue": "2022 41st Chinese Control Conference (CCC)", "volume": "2022-July", "pages": "1757-1762", "type": "conference-paper", "language": "en", "abstract": "In photogrammetry, limited battery energy and storage capacity require unmanned aerial vehicles (UAVs) to travel frequently to and from depots. Therefore, route planning is necessary to ensure safety and efficiency. In this paper, the traditional iterative search algorithm is improved through neural network-assisted deep reinforcement learning with an attention layer and the strategy of separating improvement and reconstruction operators, and applied to the vehicle route problem with energy and capacity constraints. Simulation and practice show that energy consumption of the route generated by the improved algorithm is reduced by 10.63%, and the calculation time is only 8.92% that of the optimal traditional algorithm. Therefore, deep reinforcement learning can be applied in the simulation and practice of UAV photogrammetry, and it has been verified to be reliable and efficient, which lays the foundation for minimizing the energy consumption of photogrammetry with multi-aircraft cooperation.", "keywords": [ "Reinforcement learning", "Energy consumption", "Photogrammetry", "Computer science", "Deep learning", "Artificial intelligence", "Simulation", "Engineering" ], "cited_by_openalex": 1, "cited_by_scopus": "2", "eid": "2-s2.0-85140471581", "pii": null, "open_access_url": "https://doi.org/10.23919/ccc55666.2022.9902609", "sources": [ { "db": "openalex", "stream": "UAV", "query_id": "UAV-2" }, { "db": "scopus", "stream": "UAV", "query_id": "UAV-2" } ], "streams": [ "UAV" ], "relevance_signals": [ "UAV_NO_CTX" ], "auto_exclude_reason": "EC-4-topic", "screening_status": "auto_excluded", "screened_by": "auto-v1.0.0" }, { "id": "doi:10.36227/techrxiv.19365389", "doi": "10.36227/techrxiv.19365389", "title": "Q-Learning Aided Intelligent Routing with Maximum Utility in Cognitive UAV Swarm for Emergency Communications", "year": 2022, "authors": [ "Long Zhang", "Xiaozheng Ma", "Zirui Zhuang", "Haitao Xu", "Vishal Sharma", "Zhu Han" ], "first_author": "Long Zhang", "venue": null, "volume": null, "pages": null, "type": "preprint", "language": "en", "abstract": "In this paper, we attempt to deal with the routing problem in a cognitive unmanned aerial vehicle (UAV) swarm (CU-SWARM), which applies the cognitive radio into a swarm of UAVs within a three-hierarchical aerial-ground integrated network architecture for emergency communications. In particular, the flexibly converged architecture utilizes a UAV swarm and a high-altitude platform to support aerial sensing and access, respectively, over the disaster-affected areas. We develop a Q-learning framework to achieve the intelligent routing with maximum utility for CU-SWARM. To characterize the reward function, we take into account both the routing metric design and the candidate UAV selection optimization. The routing metric is determined by maximizing the utility, which jointly captures the achievable rate of UAV pair and the residual energy of UAV. Besides, under the location, arc, and direction constraints, the circular sector is modeled by properly choosing the central angle and the acceptable signal-to-noise ratio for the UAV. With this setup, we further propose a low-complexity iterative algorithm using the dynamic learning rate to update Q-values during the training process for achieving a fast convergence speed. Extensive simulation results are provided to assess the potential of the Q-learning framework of intelligent routing as well as to verify our overall iterative algorithm via the dynamic learning rate for training procedure. Our findings reveal that the proposed algorithm can significantly increase the accumulated rewards significantly with practical complexity compared to other benchmark schemes with fixed and decaying learning rates.", "keywords": [ "Swarm behaviour", "Computer science", "Benchmark (surveying)", "Routing (electronic design automation)", "Swarm intelligence", "Metric (unit)", "Real-time computing", "Artificial intelligence", "Algorithm", "Particle swarm optimization", "Computer network", "Engineering" ], "cited_by_openalex": 2, "cited_by_scopus": 0, "eid": null, "pii": null, "open_access_url": "https://www.techrxiv.org/articles/preprint/Q-Learning_Aided_Intelligent_Routing_with_Maximum_Utility_in_Cognitive_UAV_Swarm_for_Emergency_Communications/19365389/3/files/37504264.pdf", "sources": [ { "db": "openalex", "stream": "UAV", "query_id": "UAV-2" } ], "streams": [ "UAV" ], "relevance_signals": [ "UAV_NO_CTX" ], "auto_exclude_reason": "EC-4-topic", "screening_status": "auto_excluded", "screened_by": "auto-v1.0.0" }, { "id": "doi:10.21541/apjess.1113053", "doi": "10.21541/apjess.1113053", "title": "Calculation Of The Optimum Number Of Unmanned Air Vehicles Required For Surveillance Missions", "year": 2022, "authors": [ "İkbal Özdemir", "Serkan Çaşka" ], "first_author": "İkbal Özdemir", "venue": "Academic Platform Journal of Engineering and Smart Systems", "volume": null, "pages": null, "type": "article", "language": "en", "abstract": "The aim of this study is to determine minimum quantity of unmanned aerial vehicles (UAVs) that should be used in an area where an aerial reconnaissance/observation activity will be carried out. In order to make this kind of calculation, firstly, the energy consumption of a UAV while flying with a constant speed was examined and then % energy level consumed by the UAV while passing each meter was obtained approximately. In this study, by considering the length of the trajectory which a UAV will navigate, required % energy level of a UAV to complete a single tour is calculated. If it is determined that one UAV can not complete its assigned trajectory, the number of UAVs are increased until each UAV complete its trajectory. In this study, the vehicle routing problem approach was used to calculate the UAV trajectories. Genetic algorithm method that is one of the metaheuristic optimization methods, was used obtain the solution of the vehicle routing problem (VRP). The developed algorithm has been run in Matlab environment. By changing the parameters of crossing rate and the population number in the genetic algorithm (GA) method, the lowest number of UAVs that is enough to carry out aerial observation over a target area and the shortest UAV trajectories were obtained. Results were presented in table form.", "keywords": [ "Genetic algorithm", "Trajectory", "Computer science", "Population", "Energy consumption", "MATLAB", "Energy (signal processing)", "Routing (electronic design automation)", "Table (database)", "Real-time computing", "Simulation", "Mathematics" ], "cited_by_openalex": 2, "cited_by_scopus": 0, "eid": null, "pii": null, "open_access_url": "https://dergipark.org.tr/en/download/article-file/2413115", "sources": [ { "db": "openalex", "stream": "UAV", "query_id": "UAV-2" } ], "streams": [ "UAV" ], "relevance_signals": [ "UAV_NO_CTX" ], "auto_exclude_reason": "EC-4-topic", "screening_status": "auto_excluded", "screened_by": "auto-v1.0.0" }, { "id": "doi:10.1117/12.2618783", "doi": "10.1117/12.2618783", "title": "Path planning algorithms for robotic aquaculture monitoring", "year": 2022, "authors": [ "Anthony Davis", "Srijita Mukherjee", "Paul S. Wills", "Bing Ouyang" ], "first_author": "Anthony Davis", "venue": "Proceedings of SPIE the International Society for Optical Engineering", "volume": "12097", "pages": null, "type": "conference-paper", "language": "en", "abstract": "Aerial drones have great potential to monitor large areas quickly and efficiently. Aquaculture is an industry that requires continuous water quality data to successfully grow and harvest fish. The Hybrid Aerial Underwater Robotic System (HAUCS) is designed to collect water quality data of aquaculture ponds to reduce labor costs for farmers. The routing of drones to cover each fish pond on an aquaculture farm can be reduced to the Vehicle Routing Problem. A dataset is created to simulate the distribution of ponds on a farm and is used to assess the HAUCS Path Planning Algorithm (HPP). Its performance is compared with the Google Linear Optimization Package (GLOP) and a Graph Attention Model (GAM) for routing problems. GLOP is the most efficient solver for 50 to 200 ponds at the expense of long run times, while HPP outperforms the other methods in solution quality and run time for instances larger than 200 ponds.", "keywords": [ "Aquaculture", "Drone", "Motion planning", "Solver", "Routing (electronic design automation)", "Underwater", "Computer science", "Environmental science", "Real-time computing", "Fishery", "Fish