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考虑多约束因素的物流无人机网络高精度风险分析模型

闫永刚 李新飞 沈志远 魏文斌

南京航空航天大学学报(英文版)2024,Vol.41Issue(2):218-232,15.
南京航空航天大学学报(英文版)2024,Vol.41Issue(2):218-232,15.DOI:10.16356/j.1005⁃1120.2024.02.007

考虑多约束因素的物流无人机网络高精度风险分析模型

A High-Precision Risk Analysis Model of Logistics UAV Network with Multiple Constraining Factors

闫永刚 1李新飞 2沈志远 3魏文斌4

作者信息

  • 1. 南京航空航天大学民航学院,南京 211106,中国||中国民用航空局空中交通管理局,北京 100022,中国
  • 2. 中国南方航空有限公司北京分公司,北京 102602,中国
  • 3. 南京航空航天大学民航学院,南京 211106,中国
  • 4. 圣何塞州立大学工程学院,圣何塞95192-0061,美国
  • 折叠

摘要

Abstract

Logistics unmanned aerial vehicles(UAVs)have brought new opportunities for the expansion of the global express logistics industry,especially to effectively overcome the shortcomings of ground transportation.However,since logistics UAVs are still in their infancy,it is necessary to analyze the collision risk during their operation.Using the theory of collision modeling in conflict zones,this study examines the potential safety hazards of logistics UAVs flying in specific airspace according to their characteristics and limitations.First,to measure the impact of various factors such as reliability and failure rates on the safe operation of logistics UAVs in certain airspace,a collision risk analysis model between logistics UAVs and other drones in a specific airspace is established.Second,by analyzing the factors that affect the safe operation of logistics UAVs,including airspace conditions,human-machine systems,environmental conditions,and management conditions,a collision risk analysis model between logistics UAVs and civil aircraft operating in particular airspace is established.To verify the accuracy of the proposed models,the models in both cases are solved and compared with the safety target criteria established by the International Civil Aviation Organization(ICAO).

关键词

物流无人机/冲突模型/冲突风险/低空经济/安全运行

Key words

logistics unmanned aerial vehicle(UAV)/collision model/collision risk/low-altitude economy/safe operation

分类

交通工程

引用本文复制引用

闫永刚,李新飞,沈志远,魏文斌..考虑多约束因素的物流无人机网络高精度风险分析模型[J].南京航空航天大学学报(英文版),2024,41(2):218-232,15.

基金项目

This work was supported by the Na-tional Natural Science Foundation of China(No.U2233208). (No.U2233208)

南京航空航天大学学报(英文版)

OACSTPCD

1005-1120

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