Study on Characteristics and Invulnerability of Airspace Sector Network Using Complex Network Theory

Author:

Liang Haijun1,Zhang Shiyu1,Kong Jianguo1

Affiliation:

1. College of Air Traffic Management, Civil Aviation Flight University of China, Guanghan 618307, China

Abstract

The air traffic control (ATC) network’s airspace sector is a crucial component of air traffic management. The increasing demand for air transportation services has made limited airspace a significant challenge to sustainable and efficient air transport operations. To address the issue of traffic congestion and flight delays, improving the operational efficiency of ATC has been identified as a key strategy. A clear understanding of the characteristics of airspace sectors, which are the building blocks of ATC, is essential for optimizing air traffic management. In this research, a novel approach using complex network theory was applied to examine the features and invulnerability of the airspace sector network. We developed a model of the airspace sector network by treating air traffic control sectors as network nodes and the flow of air traffic between these sectors as edges. Network characteristics were analyzed using several metrics including degree, intensity, average path length, betweenness centrality, and clustering coefficient. The static invulnerability of the airspace sector network was evaluated through simulation, and the network efficiency and the size of the connected component were used to assess its invulnerability. A study was conducted in North China based on the ATC sector network. The findings of the study revealed that the sector network did not exhibit the traits of a small-world network model, characterized by short average path lengths and high clustering coefficients. The evaluation of network invulnerability showed that the network’s invulnerability varied depending on the attack strategy used. It was discovered that attacking sectors with high betweenness resulted in the most significant harm to network invulnerability, and betweenness centrality was considered to be a useful indicator for identifying critical sectors that require optimization.

Funder

The Key Research and Development Plan of Sichuan Province in 2022

The Fundamental Research Funds for the Central Universities in 2022

Publisher

MDPI AG

Subject

Aerospace Engineering

Reference48 articles.

Cited by 3 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

1. Proposals for designing the airspace management of the ATM sectors of the Ho Chi Minh City Area Control Center to increase its capacity;Civil Aviation High Technologies;2024-07-06

2. Robustness Optimization of Air Transportation Network With Total Route Cost Constraint;IEEE Transactions on Automation Science and Engineering;2024

3. Invulnerability analysis of scale-free network and small-world network;Proceedings of the 2023 3rd International Conference on Artificial Intelligence, Automation and Algorithms;2023-07-21

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