中国安全科学学报 ›› 2018, Vol. 28 ›› Issue (2): 110-115.doi: 10.16265/j.cnki.issn1003-3033.2018.02.019

• 安全工程技术科学 • 上一篇    下一篇

航空相依网络的鲁棒性与拥堵性分析

王兴隆1 副研究员, 潘维煌1, 赵末2   

  1. 1 中国民航大学 空中交通管理学院,天津 300300;
    2 中国民航大学 民航空管研究院,天津 300300
  • 收稿日期:2017-11-21 修回日期:2018-01-12 出版日期:2018-02-28 发布日期:2020-11-17
  • 作者简介:王兴隆 (1979—),男,黑龙江北安人,硕士,副研究员,主要从事空中交通流量管理、空域运行安全等方面的研究。E-mail:xinglong1979@163.com。
  • 基金资助:
    国家自然科学基金资助(61571441);国家重点研发计划项目(2016YFB0502405);空中交通管理系统与技术国家重点实验室开放基金资助(SKLATM201705);中央高校基本科研业务经费专项资金资助(3122014D036,3122015C024,ZXH2012M002)。

Analysis of both robustness and congestion of aeronautical interdependent network

WANG Xinglong1, PAN Weihuang1, ZHAO Mo2   

  1. 1 College of Air Traffic Management, Civil Aviation University of China, Tianjin 300300, China;
    2 Civil Aviation ATM Research Institute, Civil Aviation University of China, Tianjin 300300, China
  • Received:2017-11-21 Revised:2018-01-12 Online:2018-02-28 Published:2020-11-17

摘要: 为保障航空网络在恶劣天气、军事活动或空管设备失效等影响下的安全性和有效性,以华北地区为例,建立由机场网络、航路网络、管制网络互相连接而形成的航空相依网络,并基于空中交通管理运行下的失效与拥堵规则,计算失效与拥堵模式下航空相依网络的鲁棒性与拥堵的测度,分析其鲁棒性与拥堵性。结果表明:航空相依网络的静态鲁棒性比动态的好;管制网络对航空相依网络的鲁棒性影响最大;边对航空相依网络的鲁棒性影响比节点的大;航路网络对航空相依网络的拥堵性影响最大。

关键词: 相依网络, 鲁棒性, 拥堵性, 失效规则, 最大连通子图

Abstract: In order to ensure the safety and effectiveness of the aeronautical network under the influence of bad weather, military activities or the failure of the air traffic control equipment, an aeronautical interdependent network was built for North China taken as an example. The network was formed by interconnecting an airport network, an air route network and an air control network. Based on the failure and congestion rules under the operation of air traffic management, the robustness measure and congestion measure were calculated, and the robustness and congestion of the network in different failure and congestion modes were analyzed. The results show that the robustness of the static aeronautical network is better than that of the dynamic, that the control network has the greatest influence on the robustness of the network, that the edge has a great influence on the robustness of the network, and that the route network has the greatest impact on the network congestion.

Key words: interdependent network, robustness, congestion, failure rule, largest connected subgraph

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