航空学报 > 2017, Vol. 38 Issue (S1): 721473-721473   doi: 10.7527/S1000-6893.2017.721473

基于复杂网络的空中交通特征与延误传播分析

武喜萍1, 杨红雨1, 韩松臣2   

  1. 1. 四川大学 视觉合成图形图像技术国防重点学科实验室, 成都 610065;
    2. 四川大学 空天科学与工程学院, 成都 610065
  • 收稿日期:2017-05-25 修回日期:2017-06-26 出版日期:2017-11-30 发布日期:2017-06-26
  • 通讯作者: 韩松臣 E-mail:hansongchen@nuaa.edu.cn
  • 基金资助:

    国家自然科学基金(71573184)

Analysis of properties and delay propagation of air traffic based on complex network

WU Xiping1, YANG Hongyu1, HAN Songchen2   

  1. 1. National Key Laboratory of Fundamental Science on Synthetic Vision, Sichuan University, Chengdu 610065, China;
    2. School of Aeronautics & Astronautics, Sichuan University, Chengdu 610065, China
  • Received:2017-05-25 Revised:2017-06-26 Online:2017-11-30 Published:2017-06-26
  • Supported by:

    National Natural Science Foundation of China(71573184)

摘要:

空中交通流量管理主要集中在尾随间隔、空中等待等局部战术空中交通流量调配,对空中交通流量整体运行规律、延误传播和整体解决的研究较少。航空运输网络是一个复杂系统,从复杂网络理论角度对航空运输网络进行研究很有必要。首先,分析了空中交通流量网络的度、度分布、权值、权分布、流量、容量、延误等静态特征;然后,提出了空中交通流量网络整体效能评估方法,使用选择性攻击和随机攻击方法分析了空中交通流量网络的抗毁性,基于负荷容量级联失效模型和病毒传播模型与空中交通延误传播的相似性建立了空中交通延误传播模型,最后,使用实际运行数据验证了空中交通流量网络的特征与延误传播模型的有效性,该研究可以为大范围空中流量管理提供决策支持。

关键词: 空中交通管制, 空中交通流量管理, 延误传播, 复杂网络, 网络特性

Abstract:

Current air traffic flow management focuses mainly on making air traffic flow control measures, such as miles in trail, air holding, but lacks strategic consideration of the global operation law of the air traffic flow, air traffic flow delays formation and propagation, and holistic resolution programs. The air transportation network is a complicated network system, and it is necessary to study air traffic flow using complex network theories. The topological structure of the air traffic flow network is analyzed, such as degree, degree distribution, weight, weight distribution, flow, capacity and delay. The method for evaluating air traffic flow network efficiency is then proposed, and the invulnerability of the air traffic flow network is analyzed using selective attack and random attack. The model for air traffic delay propagation is established based on the similarity between the load capacity cascading failure model and the virus propagation model, and air traffic delay propagation. The research on the air traffic flow network structure and delay propagation are validated using a large number of actual data. The research can provide decision support for large scale air traffic flow management.

Key words: air traffic control, air traffic flow management, delay propagation, complex network, network property

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