系统工程与电子技术 ›› 2023, Vol. 45 ›› Issue (9): 2802-2811.doi: 10.12305/j.issn.1001-506X.2023.09.19

• 系统工程 • 上一篇    下一篇

城市低空物流无人机飞行计划预先调配

张洪海, 任真苹, 冯讴歌, 王非, 刘皞   

  1. 南京航空航天大学民航学院, 江苏 南京 211106
  • 收稿日期:2022-04-20 出版日期:2023-08-30 发布日期:2023-09-05
  • 通讯作者: 张洪海
  • 作者简介:张洪海(1979—), 男, 教授, 博士研究生导师, 博士, 主要研究方向为通航运行与无人机管控、城市空中交通
    任真苹(1998—), 女, 硕士研究生, 主要研究方向为通航运行与无人机管控
    冯讴歌(1995—), 男, 博士研究生, 主要研究方向为城市空中交通流量管理
    王非(2000—), 男, 博士研究生, 主要研究方向为空中交通管制与签派
    刘皞(1979—), 男, 副教授, 硕士研究生导师, 博士, 主要研究方向为数学计算
  • 基金资助:
    国家自然科学基金(71971114)

Logistics unmanned aerial vehicle flight plan pre-allocation in urban low-altitude airspace

Honghai ZHANG, Zhenping REN, Ouge FENG, Fei WANG, Hao LIU   

  1. College of Civil Aviation, Nanjing University of Aeronautics and Astronautics, Nanjing 211106, China
  • Received:2022-04-20 Online:2023-08-30 Published:2023-09-05
  • Contact: Honghai ZHANG

摘要:

针对城市环境下物流无人机(unmanned aerial vehicle, UAV)飞行计划调配问题, 以UAV运输成本和延误成本最小为目标, 建立多约束物流UAV飞行计划预先调配模型。考虑货物类型优先级、物流公司优先级和配送时间优先级提出综合优先级, 设计了基于综合优先级的飞行计划预先调配算法求解。以校园配送为仿真环境进行验证, 模型和算法能够生成无冲突的飞行时刻表, 实现飞行计划预先差异化调配。实验结果表明, 综合优先级调配与传统任务优先调配、先到先服务调配相比, 每条飞行计划的成本分别降低了21.69%和26.58%;当综合优先级权重组合为0.2、0.4和0.4时, 每条飞行计划的成本最低为5.42元, 调配结果最佳。

关键词: 航空运输, 飞行计划调配, 综合优先级, 物流无人机

Abstract:

In view of the problem of logistics unmanned aerial vehicle (UAV) flight plan allocation in urban environment, with the goal of minimizing UAV transportation cost and delay cost, a multi-constraint logistics UAV flight plan pre-allocation model is established. Considering the priority of cargo type, the priority of logistics company and the priority of delivery time, a comprehensive priority is proposed. A flight plan pre-allocation algorithm based on the comprehensive priority is designed. Using campus distribution as a simulation environment for verification, the model and algorithm can generate conflict-free flight schedules and realize pre-differentiated flight plan allocation. The experimental results show that the cost of each flight plan is reduced by 21.69% and 26.58% respectively compared with the task priority allocation and the first come first service allocation. When the comprehensive priority weight combination is 0.2, 0.4, and 0.4, the lowest cost of each flight plan is 5.42 yuan, and the allocation result is the best.

Key words: air transportation, flight plan allocation, comprehensive priority, logistics unmanned aerial vehicle (UAV)

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