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
康瑞 1牟睿聆 1李凌海 1周裕川1
作者信息
- 1. 中国民用航空飞行学院 空中交通管理学院,四川 广汉 618307
- 折叠
摘要
为准确辨识机场地面滑行系统重要路段,提升拥塞风险控制能力,通过构建机场活动区交通网络模型,从节点近邻、全局路径、特征向量和网络位置 4 个角度挖掘关键节点,提出改进介数中心性算法,得到节点重要度排序样例集.综合鲁棒性、性能下降速率以及单位时间性能损失等网络性能指标,通过抗毁性实验分析性能变化曲线,确定综合抗毁性衡量指标ki 测度下复杂网络节点重要度排序结果,实现关键路径识别.以华北某机场为例开展实证研究,结果表明:机场活动区交通网络具有较小的聚类系数,在随机攻击下抗毁性较强,基于度中心性的节点序列为所有样例中最满足实际运行中的关键路段,管制员可实施重点路段流量调配,抑制冲突.
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引用本文复制引用
基金项目
四川省科技计划项目(2022YFG0196)
中央高校基本科研业务费专项(ZHMH2022-002)
出版年
2024
国家科技期刊平台
NSTL
万方数据