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An improved network model for railway traffic

Author

Listed:
  • Keping Li

    (State Key Laboratory of Rail Traffic Control and Safety, Beijing Jiaotong University, Beijing 100044, P. R. China)

  • Xin Ma

    (State Key Laboratory of Rail Traffic Control and Safety, Beijing Jiaotong University, Beijing 100044, P. R. China)

  • Fubo Shao

    (State Key Laboratory of Rail Traffic Control and Safety, Beijing Jiaotong University, Beijing 100044, P. R. China)

Abstract

In railway traffic, safety analysis is a key issue for controlling train operation. Here, the identification and order of key factors are very important. In this paper, a new network model is constructed for analyzing the railway safety, in which nodes are regarded as causation factors and links represent possible relationships among those factors. Our aim is to give all these nodes an importance order, and to find the in-depth relationship among these nodes including how failures spread among them. Based on the constructed network model, we propose a control method to ensure the safe state by setting each node a threshold. As the results, by protecting the Hub node of the constructed network, the spreading of railway accident can be controlled well. The efficiency of such a method is further tested with the help of numerical example.

Suggested Citation

  • Keping Li & Xin Ma & Fubo Shao, 2017. "An improved network model for railway traffic," International Journal of Modern Physics C (IJMPC), World Scientific Publishing Co. Pte. Ltd., vol. 28(03), pages 1-22, March.
    • Handle: RePEc:wsi:ijmpcx:v:28:y:2017:i:03:n:s0129183117500371
    DOI: 10.1142/S0129183117500371
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    Citations

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    Cited by:

    1. Jintao Liu & Keping Li & Wei Zheng & Jiebei Zhu, 2019. "An importance order analysis method for causes of railway signaling system hazards based on complex networks," Journal of Risk and Reliability, , vol. 233(4), pages 567-579, August.
    2. Bryan, Mark & Bryce, Andrew & Rice, Nigel & Roberts, Jennifer & Sechel, Cristina, 2022. "Exploring mental health disability gaps in the labour market: the UK experience during COVID-19," Labour Economics, Elsevier, vol. 78(C).
    3. Zhang, Hengqi & Geng, Hua, 2023. "A methodology to identify and assess high-risk causes for electrical personal accidents based on directed weighted CN," Reliability Engineering and System Safety, Elsevier, vol. 231(C).
    4. Mercia Andrews, 2021. "The Farmer-Input Subsidy Program (FISP) Does not Service the Poor," Development, Palgrave Macmillan;Society for International Deveopment, vol. 64(3), pages 288-291, December.
    5. Ceglarz, Andrzej & Beneking, Andreas & Ellenbeck, Saskia & Battaglini, Antonella, 2017. "Understanding the role of trust in power line development projects: Evidence from two case studies in Norway," Energy Policy, Elsevier, vol. 110(C), pages 570-580.

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