期刊文献+

Risk Assessment of Unmanned Aerial Vehicle Flight Based on Kmeans Clustering Algorithm 被引量:4

基于K?means聚类的无人机飞行风险评估
下载PDF
导出
摘要 To quantify unmanned aerial vehicle(UAV)flight risks in low-altitude airspace,we analyze the factors of UAV flight risks from three aspects:flight conflict,flight environment,and traffic characteristics.The aerial risk index and ground risk index of the UAV are constructed,the index screening model and the UAV flight risk assessment model are established,and a UAV flight risk assessment model based on K-means clustering has been proposed.Meanwhile,numerical simulations show the proposed method can not only evaluate the UAV flight risks effectively,but also provide technical support for UAV risk management and control. 为量化评估低空空域无人机飞行风险,从飞行冲突、飞行环境和交通特性3个方面分析了无人机飞行风险影响因素,分别构建了无人机空中风险指标和地面风险指标,建立指标筛选模型和无人机飞行风险评估模型,提出了基于K means聚类的无人机飞行风险评估方法。数值仿真表明本文提出的方法既能有效地评估无人机飞行风险,又能为无人机风险管控提供技术支撑。
作者 BU Jian ZHANG Honghai HU Minghua LIU Hao 卜建;张洪海;胡明华;刘皞(南京航空航天大学民航学院,南京211106)
出处 《Transactions of Nanjing University of Aeronautics and Astronautics》 EI CSCD 2020年第2期263-273,共11页 南京航空航天大学学报(英文版)
基金 supported in part by the National Natural Science Foundation of China (Nos. 71971114,61573181) Open Grant of State Key Laboratory of Air Traffic Management System and Technique(No. SKLATM201801).
关键词 unmanned aerial vehicle(UAV) risk factor risk index assessment model K-means clustering 无人机 风险因素 风险指标 评估模型 K means聚类
  • 相关文献

参考文献1

二级参考文献2

  • 1胡志 周达生.软科学直观预测技术德尔菲方法[J].医学与哲学,1989,10:26-28.
  • 2[3]OHABAL,DE SOUZA LH,IDEL.A delphi study of self-cure in a community population of peoplee with multiple-sclerosis[J].Clinleal Rehabilitatbn,2000,14(1):62-71.

共引文献16

同被引文献33

引证文献4

二级引证文献8

相关作者

内容加载中请稍等...

相关机构

内容加载中请稍等...

相关主题

内容加载中请稍等...

浏览历史

内容加载中请稍等...
;
使用帮助 返回顶部