在禁飞区限制下,研究优化无人机运载车辆的配送路线
1School of management, Harbin University of Commerce, Harbin, China.
PloS one
|October 29, 2025
概括
本研究介绍了一种车辆辅助的无人机 (UAV) 交付模型,以克服城市禁飞区,优化降低成本,减少排放和提高客户满意度的路径. 协作方法提高了复杂物流环境中的交付效率和服务质量.
科学领域:
- 运营研究 运营研究
- 物流和供应链管理的物流和供应链管理.
- 机器人和自动化 机器人和自动化
背景情况:
- 电子商务的增长需要提高物流效率和成本控制.
- 无人驾驶飞行器 (UAV) 交付为"最后一英里"交付问题提供了灵活,高效和低碳的解决方案.
- 城市禁飞区对无人机应用范围和路径规划复杂性构成重大挑战.
研究的目的:
- 为了优化车辆辅助无人机交付路径,考虑到禁飞区的限制.
- 开发一个多目标优化模型,平衡交付成本,碳排放和客户满意度.
- 设计一个高效的启发式算法,用于物流中的实际决策支持.
主要方法:
- 系统审查禁飞区和车辆-无人机协作交付原则.
- 制定一个混合整数编程模型,尽量减少成本和排放,同时最大限度地提高客户满意度.
- 开发一个四阶段启发式算法,利用改进的K-means集群和多目标遗传算法.
主要成果:
- 车辆-无人机协作模式在总成本,碳排放和客户满意度方面明显优于传统的仅车辆或仅无人机模型.
- 该模型在各种禁飞区配置中展示了强度和稳定性.
- 灵敏度分析提供了对UAV和车辆负载能力等关键参数对交付性能影响的见解.
结论:
- 车载辅助无人机交付是克服城市禁飞区限制的可行和优越策略.
- 拟议的多目标优化模型和启发式算法为物流企业提供了有效的决策支持.
- 优化协作交付策略对于提高现代电子商务物流中的效率,可持续性和客户满意度至关重要.
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