Academic Journal of Computing & Information Science, 2022, 5(13); doi: 10.25236/AJCIS.2022.051302.
Changkai Hu1, Haiqing Bai2
1College of Mathematics and Physics, Chengdu University of Technology, Chengdu, China
2School of Computer Science & Engineering Artificial Intelligence, Wuhan Institute of Technology, Wuhan, China
The study of robustness of the metro rail network in Chengdu, a central city in western China, contributes to the stability as well as safe operation of the metro network. Based on the complex network theory, the Space-L topological structure model of the complex network constituted by the first 9 metro lines in Chengdu is constructed, and its complex network characteristics are analyzed by topological properties such as degree and degree distribution, average path length, average clustering coefficient and scale-free degree. Through its topological properties, a robustness evaluation index system applicable to the Chengdu metro network is constructed, and simulations of deliberate attacks and random attacks are performed. The data of both simulations are counted and the trends and reasons of each data are analyzed and compared. Among the many stations, three stations, namely, Chengdu University of TCM & Sichuan Provincial People's Hospital Station, Science and Technology University Station and the Culture Palace Station, have higher vulnerability. When they are attacked, the subway network connectivity reliability decreases by 1/3, indicating the need to strengthen the security check of these three stations with higher degree values.
Chengdu metro network; topology; Simulation Attack; robustness
Changkai Hu, Haiqing Bai. Complexity Characteristics and Robustness Analysis of Chengdu Metro Network. Academic Journal of Computing & Information Science (2022), Vol. 5, Issue 13: 7-13. https://doi.org/10.25236/AJCIS.2022.051302.
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