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面向无人机支线物流的起降场容量模型与协同调度

江波 李蝶 郑远 李诚龙 张照轩

北京航空航天大学学报2026,Vol.52Issue(9):3011-3022,12.
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北京航空航天大学学报2026,Vol.52Issue(9):3011-3022,12.DOI:10.13700/j.bh.1001-5965.2025.0422

面向无人机支线物流的起降场容量模型与协同调度

Capacity model and collaborative scheduling of droneports for drone regional logistics

江波 1李蝶 2郑远 3李诚龙 4张照轩2

作者信息

  • 1. 中国民用航空飞行学院 飞行技术学院,广汉 618307||中国民用航空飞行学院 国产民机飞行与运行支持四川省工程研究中心,广汉 618307
  • 2. 中国民用航空飞行学院 空中交通管理学院,广汉 618307
  • 3. 中国民用航空飞行学院 计算机与人工智能学院,广汉 618307
  • 4. 中国民用航空飞行学院 飞行技术学院,广汉 618307
  • 折叠

摘要

Abstract

Droneport terminal airspace faces the critical issues of scarce airspace resources and insufficient operational efficiency.A series-coupled queuing model and a static-dynamic collaborative scheduling strategy are established to achieve accurate capacity assessment and effective regional collaborative scheduling,taking into account the lack of collaborative scheduling mechanisms for multiple droneports and the need for load balancing in regional logistics areas.First,a differentiated queuing model is constructed to characterize blockage effects in each operational link,breaking through the limitations of traditional independent analysis.Second,a non-preemptive priority strategy is introduced into the landing system to safeguard high-priority tasks.Finally,a"static flow pre-allocation+dynamic capacity-flow regulation"mechanism is designed to achieve multi-droneport collaboration through dual-path decision-making based on queuing theory.The static results show that the overall capacity assessment deviation of the proposed series-coupled queuing model is controlled within 6%,which is significantly superior to the traditional independent analysis model.Moreover,in the capacity assessment of the waiting layer airspace,it also significantly outperforms the conflict threshold-based model.Under the non-preemptive priority strategy,the average delay time of high-priority tasks consistently stays below 30 seconds.However,with the increase in their proportion of total tasks,the system's average delay rises significantly.Under surge traffic conditions,the cooperative scheduling approach lowers overall drone delay by 39.49%on average and increases regional load balance to 95.9%.The research results can provide theoretical support for low-altitude logistics network planning and real-time dispatch.

关键词

无人机/支线物流/垂直起降场/排队论/容量评估/协同调度

Key words

drone/regional logistics/droneport/queueing theory/capacity evaluation/collaborative scheduling

分类

航空航天

引用本文复制引用

江波,李蝶,郑远,李诚龙,张照轩..面向无人机支线物流的起降场容量模型与协同调度[J].北京航空航天大学学报,2026,52(9):3011-3022,12.

基金项目

国家自然科学基金青年基金项目(52502410) (52502410)

中国民用航空飞行学院本科生科研创新基金项目(X202510624277) Youth Fund Project of National Natural Science Foundation of China(52502410) (X202510624277)

Training Program of Innovation for Undergraduates of Civil Aviation Flight University of China(X202510624277) (X202510624277)

北京航空航天大学学报

1001-5965

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