信息通信技术与政策2026，Vol.52Issue(4)：44-52,9.DOI:10.12267/j.issn.2096-5931.2026.04.006
基于时空约束的铁路物流园区低空物流协同调度优化策略研究
Research on optimization strategies for collaborative scheduling of low-altitude logistics in railway logistics parks based on spatiotemporal constraints
霍磊 1马慧佳 1席海洋1
作者信息
- 1. 航天时代低空科技有限公司,北京 100070
- 折叠
摘要
Abstract
The internal short-distance transportation in railway logistics parks faces efficiency bottlenecks,and drones offer a new solution to break this bottleneck.However,the introduction of drones creates complex air-ground collaborative scheduling challenges.Focusing on this issue,this paper investigates the collaborative scheduling optimization of drones under multiple spatiotemporal constraints.Firstly,this paper systematically analyzes core constraints including task assignment,drone load and endurance,node capacity,and airspace safety.Secondly,this paper establishes a mixed integer programming model aimed at minimizing the maximum completion time.Furthermore,this paper designs a two-stage heuristic algorithm integrating greedy initialization and improved genetic algorithm.Simulation results demonstrate that the proposed algorithm significantly reduces average task turnaround time and improves drone utilization rates,providing a quantitative decision-making basis for intelligent park scheduling.关键词
无人机/铁路物流园区/协同调度/时空约束/遗传算法/启发式算法Key words
unmanned aerial vehicle/railway logistics park/scheduling optimization/spatiotemporal constraints/genetic algorithm/simulation分类
交通工程引用本文复制引用
霍磊,马慧佳,席海洋..基于时空约束的铁路物流园区低空物流协同调度优化策略研究[J].信息通信技术与政策,2026,52(4):44-52,9.
