中国安全科学学报 ›› 2018, Vol. 28 ›› Issue (3): 167-172.doi: 10.16265/j.cnki.issn1003-3033.2018.03.029

• 公共安全 • 上一篇    下一篇

鱼骨式航路网络建模及抗毁性分析

王兴隆1 副研究员, 王宽1, 赵末2 助理研究员   

  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:2017-12-09 修回日期:2018-02-03 出版日期:2018-03-28 发布日期:2020-11-09
  • 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、空域运行安全等研究。E-mail:xinglong1979@163.com。
  • 基金资助:
    国家自然科学基金资助(61571441,U1533112);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(ZXH2012M002,3122014D036,3122015C024)。

Fishbone air route network modeling and invulnerability analysis

WANG Xinglong1, WANG Kuan1, 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:2017-12-09 Revised:2018-02-03 Online:2018-03-28 Published:2020-11-09

摘要: 为保障航空器航路飞行安全,提高恶劣天气、军事活动等事件发生时航路运行效率,针对单条完整航路及进出此航路的航线段,基于复杂网络理论建立鱼骨式有向加权航路网络模型;建立度、加权度、介数等抗毁性攻击的去点指标,分析指标特性及在蓄意去点攻击和随机去点攻击条件下航路网络抗毁性;以中国A593航路为例,进行实例验证。结果表明:鱼骨式有向加权航路网络负向匹配;航路网络对基于度、加权度、介数等的蓄意去点攻击的抗毁性低于其对随机去点攻击的抗毁性。

关键词: 航路网络, 复杂网络理论, 抗毁性, 特性分析, 网络整体效能

Abstract: In order to maintain flight safety and improve the efficiency of air route operations in the event that severe weather, military activities or other factors may have a significant, negative effect on the safety or the efficiency, a fishbone directional weighted air route network model was built based on the complex network theory for a single complete route and its connections. Degree, weight, betweeness were identified as the indicators of network invulnerability. The characteristics of the indexes and the invulnerability of the network were analyzed for two kinds of attacks, a deliberate nodes deletion attack and a random nodes deletion attack. Then, the route A593 was selected as an example to verify the model. The results show that the directed weighted fishbone air route network has a negative matching feature with larger-degree nodes prefer to connect smaller-degree nodes, and that the invulnerability of an air route network to a deliberate nodes deletion attack according to the degree, weight and betweeness is lower than its invulnerability to a random nodes deletion attack.

Key words: air route network, complex network theory, invulnerability, feature analysis, overall network efficiency, nodes deletion attack

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