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Research on High-Speed Railway Safety Management Based on Global Data Management

In: Ieis 2023

Author

Listed:
  • Chang Liu

    (Beijing Jiaotong University)

  • Dan Chang

    (Beijing Jiaotong University)

  • Daqing Gong

    (Beijing Jiaotong University)

Abstract

High-speed railway data assets provide basic support for analyzing railway safety management and discovering accident rules. Based on the analysis of the current data management situation in China’s railway industry, combined with the characteristics of a complex network and large linkage of railway global data, this paper studies the integration theoretical model of railway global risk prevention and control. It analyzes the big data requirements of railway global data management from three aspects of the “human-machine-environment” and finally realizes the real-time accuracy of railway global risk prevention and control. To minimize the overall operation risk, improve the intelligent level of railway safety prevention and control.

Suggested Citation

  • Chang Liu & Dan Chang & Daqing Gong, 2024. "Research on High-Speed Railway Safety Management Based on Global Data Management," Lecture Notes in Operations Research, in: Menggang Li & Hua Guowei & Anqiang Huang & Xiaowen Fu & Dan Chang (ed.), Ieis 2023, pages 156-166, Springer.
    • Handle: RePEc:spr:lnopch:978-981-97-4137-3_13
    DOI: 10.1007/978-981-97-4137-3_13
    as

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