航空学报 > 2018, Vol. 39 Issue (12): 322235-322235   doi: 10.7527/S1000-6893.2018.22235

空中交通相依网络的脆弱性研究

王兴隆1,2, 潘维煌1, 赵末3   

  1. 1. 中国民航大学 空中交通管理学院, 天津 300300;
    2. 空中交通管理系统与技术国家重点实验室, 南京 210014;
    3. 中国民航大学 民航空管研究院, 天津 300300
  • 收稿日期:2018-04-23 修回日期:2018-05-22 出版日期:2018-12-15 发布日期:2018-08-27
  • 通讯作者: 潘维煌 E-mail:panweihuang8@163.com
  • 基金资助:
    国家自然科学基金(61571441,U1533112);国家重点研发计划(2016YFB0502405);空中交通管理系统与技术国家重点实验室开放基金(SKLATM201705);中央高校基本科研业务经费专项资金(3122018D027,3122015C024,ZXH2012M002)。

Vulnerability of air traffic interdependent network

WANG Xinglong1,2, PAN Weihuang1, ZHAO Mo3   

  1. 1. College of Air Traffic Management, Civil Aviation University of China, Tianjin 300300, China;
    2. Corporation State Key Laboratory of Air Traffic Management System and Technology, Nanjing 210014, China;
    3. Civil Aviation ATM Research Institute, Civil Aviation University of China, Tianjin 300300, China
  • Received:2018-04-23 Revised:2018-05-22 Online:2018-12-15 Published:2018-08-27
  • Supported by:
    National Natural Science Foundation of China (61571441, U1533112); National Key R&D Program of China (2016YFB0502405); State Key Laboratory of Air Traffic Management System and Technology (SKLATM201705); the Fundamental Research Funds for the Central Universities (3122014D036, 3122015C024, ZXH2012M002)

摘要: 机场、航路和管制扇区构成空中交通相依网络,节点在受到扰动时,网络运输性能下降,引发网络脆弱性。提出一种空中交通相依网络脆弱性的度量方法,首先构建机场网络、航路网络和管制扇区网络3个层网络,基于空中交通管理规则与层网络间的逻辑连接关系,建立空中交通相依网络模型。在随机扰动和蓄意扰动节点两种不同失效模式下,采用最大连通度和结构熵两个指标,并给出了相应算法,分析相依网络的结构脆弱性;创建流量熵和交通流损失比指标,设计了相应算法,研究相依网络的功能脆弱性。研究结果表明,随机扰动对空中交通相依网络影响更大;网络的结构脆弱源与功能脆弱源是机场网络;网络的脆弱性与层网络间的连接方式和层网络的交通量不匹配有关。

关键词: 空中交通相依网络, 脆弱性, 熵, 最大连通度, 交通流损失比

Abstract: The airport, air route and air control sector constitute an air traffic interdependent network. When the node is disturbed, the network transportation performance is degraded, causing network vulnerability. This paper proposes a measure for the vulnerability of air traffic dependent networks. Three layer networks of the airport, air route, and air control sector have been established; an air traffic interdependent network model has been established based on the air traffic regulations and the logical connections among layer networks. In the two failure modes of stochastic disturbance and deliberate disturbance nodes, the paper comes up with the corresponding algorithm and analyzes the structural vulnerabilities of the interdependent networks by employing the maximum connectivity and the structural entropy. The traffic entropy and the loss ratio of traffic flow are used to study the functional vulnerability of the interdependent network with the corresponding algorithm. The research shows that the stochastic disturbance has a greater influence on the air traffic interdependent networks than the deliberate disturbance; the networks' source of structural vulnerability and functional vulnerability are the airport networks; and the vulnerability of the network is related to the connections of the layer networks and the mismatch of the air traffic volume.

Key words: air traffic interdependent network, vulnerability, entropy, the maximum connectivity, the loss ratio of traffic flow

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