Air traffic CPS cascading failure and mitigation strategy

被引：0
|
作者：
Wang X. [1 ]
He M. [1 ]
Liu M. [2 ]
机构：
[1] Air Traffic Control College, Civil Aviation University of China, Tianjin
[2] Tianjin Municipal Transportation Commission, Tianjin
来源：
Beijing Hangkong Hangtian Daxue Xuebao/Journal of Beijing University of Aeronautics and Astronautics | 2021年 / 47卷 / 12期
关键词：
Air traffic; Air traffic cascading failure; Cascading failure mitigation strategy; Cyber Physical System (CPS); Load-capacity model;
D O I：
10.13700/j.bh.1001-5965.2020.0466
中图分类号：
学科分类号：
摘要：
To effectively alleviate the cascading failure of air traffic, the traditional load-capacity model is improved, and the critical value of capacity adjusting parameter is discovered. An air traffic Cyber Physical System (CPS) model is built, and its nodes are defined to be in three states: normal, congested, and failed. Different flow allocation strategies, including degree allocation, betweenness centrality allocation, and remaining capacity allocation, are adopted to alleviate the cascading failure of air route network and air traffic control network, and the mitigation result is assessed by network normal rate. Taking air traffic CPS in East China as an analysis example, the results show that the network recovers first under betweenness centrality allocation, which suggests that it has good strength against cascading failure. Nodes' ability to receive additional flow is made full use of under remaining capacity allocation, and the network returns to normal state first, which indicates that the mitigation strategy is reliable. © 2021, Editorial Board of JBUAA. All right reserved.
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页码：2426 / 2433
页数：7
相关论文
共 17 条
  • [1] TANG Y, WANG Q, NI M, Et al., Analysis of cyber attacks in cyber physical power system, Automation of Electric Power Systems, 40, 6, pp. 148-151, (2016)
  • [2] FANG Y H, XU Z W, PENG C., Study on the planning of rail transit safety signal control in CPS, Urban Mass Transit, 21, 4, pp. 25-30, (2018)
  • [3] TAN P., Research on vehicle-vehicle cooperative model and its stability on a spiral road based on T-CPS, (2019)
  • [4] LEVSHUN D, KOTENKO I, CHECHULIN A., The application of the methodology for secure cyber-physical systems design to improve the semi-natural model of the railway infrastructure[J], Microprocessors and Microsystems, 87, (2021)
  • [5] SAMPIGETHAYA K, POOVENDRAN R., Aviation cyber-physical systems:Foundations for future aircraft and air transport[J], Proceedings of the IEEE, 101, 8, pp. 1834-1855, (2013)
  • [6] REN L, LIAO H, CASTILLO-EFFEN M, Et al., Transformation of mission-critical applications in aviation to cyber-physical systems, Cyber-physical systems:Foundations, principles and applications, pp. 339-362, (2017)
  • [7] WANG X L, MIAO S F, HE M, Et al., Node ranking of air traffic information physical system based on improved K-shell algorithm, China Sciencepaper, 15, 10, pp. 1144-1149, (2020)
  • [8] ZHONG P Y., Topology properties, mechanism of cascading failure and invulnerability for hazardous materials transportation network based on complex network, (2015)
  • [9] CUI M D., Research on a mitigation strategy for scale-free network against cascading failures, pp. 19-37, (2018)
  • [10] QI Y N, GAO J D., Cascading failure invulnerability and optimization strategy of airspace sector network, Acta Aeronautica et Astronautica Sinica, 39, 12, (2018)
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