Abstract
The complex network theory can be used to find the characteristics of rail transit network. Indicators like node degree of complex network and average path length etcetera are chosen to analyze rail transit network, and to calculate complex network topology attributes, such as clustering coefficients, etcetera. As for the research of network reliability, to evaluate the network reliability under selective attack modes and random attack modes by improving and proposing new evaluation index of reliability, and finding out key sites and important lines of Chengdu rail transit network to provide better reference for the actual construction, operation and maintenance.
This research was supported by the National Key R&D Program of China (2017YFB1200702).
This is a preview of subscription content, log in via an institution to check access.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
Similar content being viewed by others
References
Liu, Z., Song, R.: Research on reliability of Guangzhou rail transit network based on complex network theory. Traffic Syst. Eng. Inf. 10(05), 194–200 (2010)
Qin, X.: Reliability study of urban rail transit network. Urban Mass Transit. 18(12), 90–93+98 (2015)
Guo, L.: Investigating reliability of urban rail transit networks by means of complex network theory, pp. 30–32. Dalian University of Technology, Dalian, China (2013)
Ding, X.: Complex network theory and application in reliability of Shanghai urban rail transit network. Urban Mass Transit. 15(11), 50–53 (2012)
National Bureau of standards: GB3187 – 82 reliability basic terms and definitions. Beijing, China, Standard Press (1987)
Latora, V., Marchiori, M.: Efficient behavior of small-world networks. Phys. Rev. Lett. 87(19), 1–4 (2001)
Wang, L.: Study on the reliability of urban road network based on complex network theory, pp. 25–27. Lanzhou Jiaotong University, Lanzhou, China (2014)
Author information
Authors and Affiliations
Corresponding author
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2019 Springer Nature Switzerland AG
About this paper
Cite this paper
Chen, W., Li, Z., Ai, Y., Ju, Y. (2019). Research on Reliability of Chengdu Rail Transit Network Based on Complex Network Theory. In: Ni, S., Wu, TY., Chang, TH., Pan, JS., Jain, L. (eds) Advances in Smart Vehicular Technology, Transportation, Communication and Applications. VTCA 2018. Smart Innovation, Systems and Technologies, vol 129. Springer, Cham. https://doi.org/10.1007/978-3-030-04582-1_24
Download citation
DOI: https://doi.org/10.1007/978-3-030-04582-1_24
Published:
Publisher Name: Springer, Cham
Print ISBN: 978-3-030-04581-4
Online ISBN: 978-3-030-04582-1
eBook Packages: Intelligent Technologies and RoboticsIntelligent Technologies and Robotics (R0)