重庆理工大学学报2024，Vol.38Issue(3)：181-188,8.DOI:10.3969/j.issn.1674-8425(z).2024.02.020
航空器场面滑行关键路径识别与抗毁性研究
Critical path identification and destructive resistance study of aircraft field taxiing
摘要
Abstract
To accurately identify critical sections of the airport ground taxiing system and improve the congestion risk control capability,a traffic network model in the active area of the airport is built in this paper to mine critical nodes from four perspectives:node proximity,global path,feature vector and network location.Thus,an improved betweenness centrality algorithm is proposed to obtain a sample set of node importance ranking.The network performance indexes such as robustness,performance degradation rate and performance loss per unit time are integrated,and the performance change curve is analyzed by destructive experiments to determine the node importance ranking results of the complex network under the comprehensive destructive index CDI measure and achieve critical path identification.Finally,an airport in North China is taken as an example to conduct an empirical study.Our results show the traffic network in the active area of the airport has a small clustering coefficient and is more resistant to destruction under random attacks,and the node sequence based on degree centrality is the most satisfying critical path in actual operation among all samples,providing references for controllers to implement traffic deployment on key sections and suppress conflicts.关键词
机场活动区/复杂网络/节点重要度/抗毁性Key words
airport activity area/complex network/node importance/invulnerability分类
航空航天引用本文复制引用
康瑞,牟睿聆,李凌海,周裕川..航空器场面滑行关键路径识别与抗毁性研究[J].重庆理工大学学报,2024,38(3):181-188,8.基金项目
四川省科技计划项目(2022YFG0196) （2022YFG0196）
中央高校基本科研业务费专项资金(ZHMH2022-002) （ZHMH2022-002）
