铁道运输与经济2026，Vol.48Issue(5)：47-57,11.DOI:10.16668/j.cnki.issn.1003-1421.20250924001
基于时间窗的城市无人机群多航段协同配送
Multi-Leg Collaborative Delivery for Urban Drone Swarm Based on Time Window
摘要
Abstract
In view of the issues of high cost and low efficiency in urban low-altitude drone delivery,a time window-based multi-leg collaborative delivery model for drone swarm was established.The model effectively solved the difficulty of excessive cost in point-to-point delivery,significantly reduced the average cost and duration of urban drone logistics delivery,and met diverse customer order demands.By taking the minimization of average order delivery duration,number of drones used,and delay time cost as objectives and comprehensively considering constraints such as drone endurance,customer order timeliness,and payload capacity,a drone scheduling and route optimization model based on peak-hour time window was constructed.In view of the characteristics of the model,affinity propagation(AP)clustering was designed to conduct preliminary clustering of orders in different time periods,and then a whale optimization algorithm-variable neighborhood search(WOA-VNS)hybrid algorithm was designed for solution.Finally,by taking Longgang,Shenzhen as an example,large-and medium-sized datasets during the peak period of order demands were set to explore the effectiveness of the model and algorithm under different order demands and average transportation distances.Development strategies for low-altitude delivery enterprises in different market stages were derived,providing a scientific basis for decision-making in urban drone order delivery services.关键词
低空经济/时间窗/无人机群多航段协同/WOA-VNS/低空物流降本增效Key words
Low-Altitude Economy/Time Window/Multi-Leg Collaboration of Drone Swarm/WOA-VNS/Cost Reduction and Efficiency Improvement in Low-Altitude Logistics分类
交通工程引用本文复制引用
石学刚,李佳俊,邬林江,杨洋..基于时间窗的城市无人机群多航段协同配送[J].铁道运输与经济,2026,48(5):47-57,11.基金项目
天津市教委社会科学重大项目(2024JWZD41) （2024JWZD41）
河南省机场集团有限公司揭榜挂帅项目(2025榜002) （2025榜002）
