Login / Register Submit Your Article
cover
Scientific Innovation in Asia

Volume 3, 2025 - Issue 2

Submit Manuscript Journal Homepage
Latest Issue
Input keywords, title, abstract, author, affiliation etc..
Article Menu
Browse this journal
Vol. 3 (2025)
Vol. 2 (2024)
Vol. 1 (2023)
Journal Article An open access journal
Open Access Journal Article

Research on the Operational Resilience of AOV Networks in Flight Support and Control Strategies—— From the Perspective of Cascading FailuresPaper Title

by Yongxin Yao 1
1
College of Traffic and Transportation Engineering, Civil Aviation University of China, Tianjin, China, 300400
*
Author to whom correspondence should be addressed.
SIA  2025 3(2):49; https://doi.org/10.12410/sia0302007
Received: 1 June 2025 / Accepted: 3 June 2025 / Published Online: 10 June 2025
View Full-Text
Download PDF

Abstract

China's air transport volume has steadily ranked second globally and continues to grow rapidly. However, there is a significant gap in civil aviation infrastructure, and airports are reaching saturation. Developing strategies based on resilience theory has become an industry consensus. Aiming at the flight support operations in the airport movement area, we construct a complex network analysis model. In this model, we abstract nodes into an Activity On Vertex network (AOV net). We then employ the Technique for Order Preference by Similarity to an Ideal Solution (TOPSIS) model to identify key nodes, providing data support for the cascading failure model. Focusing on the stability and recovery mechanisms of the flight support system, we establish a resilience evaluation system that incorporates metrics such as network efficiency, the relative scale of the largest connected component, etc., and conduct an empirical application of complex network theory. The conclusions drawn from this study guide the formulation of control strategies.

Keywords: a-cdm; Complex networks; cascading failures; key nodes; control strategies.;
Copyright: © 2025 by Yao. This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY) (Creative Commons Attribution 4.0 International License). The use, distribution or reproduction in other forums is permitted, provided the original author(s) or licensor are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.

Share and Cite

ACS Style
Yao, Y. Research on the Operational Resilience of AOV Networks in Flight Support and Control Strategies—— From the Perspective of Cascading FailuresPaper Title. Scientific Innovation in Asia, 2025, 3, 49. doi:10.12410/sia0302007
AMA Style
Yao Y. Research on the Operational Resilience of AOV Networks in Flight Support and Control Strategies—— From the Perspective of Cascading FailuresPaper Title. Scientific Innovation in Asia; 2025, 3(2):49. doi:10.12410/sia0302007
Chicago/Turabian Style
Yao, Yongxin 2025. "Research on the Operational Resilience of AOV Networks in Flight Support and Control Strategies—— From the Perspective of Cascading FailuresPaper Title" Scientific Innovation in Asia 3, no.2:49. doi:10.12410/sia0302007

Article Metrics

Article Access Statistics

References

  1. Luya Han. Research on Flight Delay Early Warning under the Collaborative Decision-Making Mechanism [D]. Shanghai University of Engineering Science, 2020.
  2. Hui Zhu. Flight Departure Time Prediction for Airport Collaborative Decision Making [D]. Civil Aviation University of China, 2019.
  3. Yan Ren. Research on Collaborative Decision-Making Mechanism Based on Unified Objective Management [J]. Civil Aviation Management, 2020, (01): 48-50.
  4.  Bo Wang, Jianhui Wang, Xiaofei Peng, et al. A Scheduling Method for Apron Tractors Based on Airport Collaborative Decision-Making System [J]. Science Technology and Engineering, 2021, 21(04): 1667-1673.
  5. Minggong Wu, Zekun Wang, Xusheng Gan, et al. Identification of Critical Flight Conflict Points Based on Complex Network Theory [J]. Journal of Northwestern Polytechnical University, 2020, 38(02): 279-287.
  6. Jianli Ding, Jiansi Wang. An Evaluation Method for Air Route Importance Based on Edge Weight and Clustering Coefficient [J]. Computer Applications and Software, 2021, 38(09): 39-44.
  7. Qianjing You, Wei Zheng, Fangli Liu. Evaluation of Node Importance Based on Overlapping Box-Covering Algorithm [J]. Computer Applications and Research, 2021, 38(11): 3354-3358.
  8. Senbin Yu. Research on Identification Methods for Critical Nodes and Edges in Transportation Networks [D]. Beijing: Beijing Jiaotong University, 2021.
  9. Mengmeng Yin, Lei Wang, Changhua Yao, et al. Evaluation of Node Importance in Complex Networks Based on VIKOR Model [J]. Network and Information Security, 2022, 22(01): 87-94.
  10. Qiuhui Li, Hua Han, Yuanyuan Ma, et al. An Algorithm for Node Importance Evaluation Based on Gravity Model and Relative Path Number [J]. Computer Applications and Research, 2022, 39(03): 764-769.
  11. Xinglong Wang, Min He, Mingxue Liu. Cascading Failure and Mitigation Strategies in Air Traffic Cyber-Physical Systems (CPS) [J]. Journal of Beijing University of Aeronautics and Astronautics, 2021, 47(12): 2426-2433.
  12. Benkai Xie, Gongdi Huang, Qin Li, et al. Cascading Failure in Civil Aviation Networks of Central-South China Based on Node Status [J]. Science Technology and Engineering, 2021, 21(03): 1097-1102.
  13. Feizhou Huo, Yiyun Mei, Wei Lü, et al. A Cascading Failure Model for Complex Urban Agglomeration Traffic Networks Considering Congestion Index [J]. Journal of Highway and Transportation Research and Development, 2022, 39(10): 162-170, 190.
  14. Civil Aviation Administration of China. MHT6125-2022 Technical Specification for Airport Collaborative Decision Making (A-CDM) System [S]. Beijing: 2022.