北京航空航天大学学报 ›› 2021, Vol. 47 ›› Issue (5): 904-911.doi: 10.13700/j.bh.1001-5965.2020.0084

• 论文 • 上一篇    下一篇

空域扇区网络结构特性分析及韧性评估

王兴隆, 苗尚飞   

  1. 中国民航大学 空中交通管理学院, 天津 300300
  • 收稿日期:2020-03-05 发布日期:2021-05-28
  • 通讯作者: 王兴隆 E-mail:xinglong1979@163.com
  • 作者简介:王兴隆,男,硕士,副研究员。主要研究方向:空中交通流量管理、空域运行安全;苗尚飞,男,硕士研究生。主要研究方向:空中交通流量管理、空域运行安全。
  • 基金资助:
    中央高校基本科研业务费专项资金(3122019191)

Structural characteristics analysis and resilience assessment of airspace sector network

WANG Xinglong, MIAO Shangfei   

  1. College of Air Traffic Management, Civil Aviation University of China, Tianjin 300300, China
  • Received:2020-03-05 Published:2021-05-28

摘要: 为保障扇区内航空器运行安全,提高扇区网络在外界干扰下的韧性,从而有效减轻航班延误和空域拥堵。首先,依据中国空域扇区划分规则,运用复杂网络理论构建中国空域扇区网络模型;然后,定义网络基本特征参数,对中国空域扇区网络结构特性进行分析,提出扇区网络韧性的概念,并采用一种定量评估方法对其进行度量;最后,对比分析不同恢复策略下的韧性指标,以此制定空域扇区网络在外界干扰下的最佳恢复策略,提高网络韧性。结果表明:中国空域扇区网络具有较大的平均最短路径长度和较小的聚类系数,度分布服从双段幂律分布,介数和强度服从指数分布。介数是影响空域扇区网络韧性最大的指标,采用介数恢复策略可显著提高外界干扰下空域扇区网络的韧性。

关键词: 空域扇区, 复杂网络, 介数, 网络效率, 扇区网络韧性

Abstract: In order to ensure the safety of aircraft operations in the sector,improve the resilience of the sector network under external disturbance, and thereby effectively reduce flight delays and airspace congestion,by using complex network theory, an airspace sector network model of China is established based on airspace sector division rules. Then, the structural characteristics of airspace sector network are analyzed by defining basic network parameters. In addition, the concept of sector network resilience is defined and a quantitative evaluation method is used to measure it. Finally, resilience indicators under different recovery strategies are comparatively analyzed, so as to develop the optimal recovery strategy of the sector network under external disturbance and improve the network resilience. The results show that the airspace sector network of China has a lengthy average shortest path and a small clustering coefficient. The degree distribution follows a double power-law distribution and the cumulative distributions of betweenness follow an exponential distribution. Among them, betweenness has the greatest impact on the resilience of airspacesector network. Adopting the betweenness recovery strategy can significantly improve the airspacesector network resilience under external disturbance.

Key words: airspace sectors, complex network, betweenness, network efficiency, sector network resilience

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