Expert Systems with Applications, Journal Year: 2023, Volume and Issue: 233, P. 120988 - 120988
Published: July 18, 2023
Language: Английский
Expert Systems with Applications, Journal Year: 2023, Volume and Issue: 233, P. 120988 - 120988
Published: July 18, 2023
Language: Английский
Expert Systems with Applications, Journal Year: 2023, Volume and Issue: 219, P. 119654 - 119654
Published: Feb. 4, 2023
Language: Английский
Citations
45Engineering Applications of Artificial Intelligence, Journal Year: 2024, Volume and Issue: 131, P. 107838 - 107838
Published: Jan. 6, 2024
Language: Английский
Citations
21Transportation Research Part E Logistics and Transportation Review, Journal Year: 2025, Volume and Issue: 194, P. 103954 - 103954
Published: Jan. 8, 2025
Language: Английский
Citations
3Drones, Journal Year: 2025, Volume and Issue: 9(1), P. 54 - 54
Published: Jan. 14, 2025
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, collaborative delivery model involving drones trucks addresses last-mile challenges by leveraging complementary strengths of both modes transport. However, evaluating environmental economic impacts this transportation mode requires systematic framework to capture unique characteristics minimize costs. This paper investigates Parallel Drone Scheduling Traveling Salesman Problem (PDSTSP) evaluate sustainability drone-truck system. Specifically, mathematical system is developed optimize joint operations. Environmental are assessed using comprehensive Life Cycle Assessment (LCA), including emissions operational noise, while Cost Analysis (LCCA) quantifies performance across five cost dimensions. Sensitivity analysis explores factors such density, traffic congestion, wind conditions. Results show that, compared electric fleet, proposed achieves an approximate 20% reduction carbon emissions, delivering 20–30% relative fuel truck fleet. Drones’ short-distance deliveries alleviates trucks’ load, cutting study offers practical insights recommendations implementing parallel systems, particularly high-demand density areas.
Language: Английский
Citations
3Applied Sciences, Journal Year: 2025, Volume and Issue: 15(4), P. 2207 - 2207
Published: Feb. 19, 2025
This paper addresses the time-dependent vehicle routing problem with drones in vehicle-restricted zones and no-fly (TDVRPD-VRZ-NFZ). The optimization model considers impacts of zones, road networks on delivery paths. objective is to minimize total cost, including dispatch costs, energy consumption costs for vehicles drones, time-window penalty costs. verified correctness using Gurobi. In response problem’s characteristics, a hybrid genetic algorithm variable neighborhood search learning mechanism (HGAVNS-LM) proposed solve problem. starts by generating initial population combination logistic mapping reverse learning. It then improves operators optimize population. To improve algorithm’s performance, an individual elite archive used knowledge learning, self-learning established dynamically adjust key parameters. solution obtained HGAVNS-LM shows deviation −0.2% −0.3% compared Gurobi, but it saves 99.68% solving time. Compared algorithm, improvement rates are 5.1% 13.0%, respectively. Through analysis multiple sets test cases, concluded that time-varying networks, different detour rules all affect plans. research results provide more scientific theoretical basis logistics companies customize solutions.
Language: Английский
Citations
3Transportation Research Part E Logistics and Transportation Review, Journal Year: 2025, Volume and Issue: 195, P. 103949 - 103949
Published: Jan. 20, 2025
Citations
2Computers & Industrial Engineering, Journal Year: 2023, Volume and Issue: 182, P. 109385 - 109385
Published: June 15, 2023
Language: Английский
Citations
24Transportation Research Part E Logistics and Transportation Review, Journal Year: 2024, Volume and Issue: 192, P. 103798 - 103798
Published: Sept. 30, 2024
Language: Английский
Citations
13Transportation Research Part A Policy and Practice, Journal Year: 2024, Volume and Issue: 180, P. 103949 - 103949
Published: Jan. 6, 2024
Language: Английский
Citations
9Environmental Science and Pollution Research, Journal Year: 2024, Volume and Issue: 31(29), P. 41600 - 41620
Published: Feb. 7, 2024
Language: Английский
Citations
9