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Invulnerability Analysis and Optimization Strategy of Sector Network Using Cascading Failure Model

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  • Haijun Liang
  • Jingyu Lu
  • Nan Chen

Abstract

Resolving the challenge of flight delays caused by air traffic congestion renders it necessary to explore the mode of congestion propagation. By applying complex network theory, this article establishes a complex network structure where airspace sectors act as nodes, and the edges represent traffic flow relationships between sectors. In addition, a cascading failure model is proposed to analyze the airspace sector network’s invulnerability. The critical threshold and the sector abnormality rate are determined according to the cascading failure measurement indexes. Based on the remaining capacity of sector nodes, two optimization strategies are proposed: adjacent load redistribution strategy and local load redistribution strategy. The simulation results demonstrate that the local load redistribution strategy greatly improves the airspace sector network’s invulnerability to cascading failure.

Suggested Citation

  • Haijun Liang & Jingyu Lu & Nan Chen, 2022. "Invulnerability Analysis and Optimization Strategy of Sector Network Using Cascading Failure Model," Complexity, John Wiley & Sons, vol. 2022(1).
    • Handle: RePEc:wly:complx:v:2022:y:2022:i:1:n:5388630
    DOI: 10.1155/2022/5388630
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    References listed on IDEAS

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    1. Cumelles, Joel & Lordan, Oriol & Sallan, Jose M., 2021. "Cascading failures in airport networks," Journal of Air Transport Management, Elsevier, vol. 92(C).
    2. Réka Albert & Hawoong Jeong & Albert-László Barabási, 2000. "Error and attack tolerance of complex networks," Nature, Nature, vol. 406(6794), pages 378-382, July.
    3. Tao Wang & Xiaoguang Wei & Tao Huang & Jun Wang & Luis Valencia-Cabrera & Zhennan Fan & Mario J. Pérez-Jiménez, 2019. "Cascading Failures Analysis Considering Extreme Virus Propagation of Cyber-Physical Systems in Smart Grids," Complexity, Hindawi, vol. 2019, pages 1-15, March.
    4. Quang Nguyen & Ngoc-Kim-Khanh Nguyen & Davide Cassi & Michele Bellingeri & Giacomo Fiumara, 2021. "New Betweenness Centrality Node Attack Strategies for Real-World Complex Weighted Networks," Complexity, Hindawi, vol. 2021, pages 1-17, October.
    5. Benjamin Schäfer & Dirk Witthaut & Marc Timme & Vito Latora, 2018. "Dynamically induced cascading failures in power grids," Nature Communications, Nature, vol. 9(1), pages 1-13, December.
    6. Benjamin Schäfer & Dirk Witthaut & Marc Timme & Vito Latora, 2018. "Author Correction: Dynamically induced cascading failures in power grids," Nature Communications, Nature, vol. 9(1), pages 1-1, December.
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