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A CPS-Enhanced Subway Operations Safety System Based on the Short-Term Prediction of the Passenger Flow

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Big Data Analytics for Cyber-Physical Systems

Abstract

The subway transport system is an effective means to mitigate the adverse effects of rapid urbanization and traffic congestion. The development of subway systems has created great challenges to subway operations safety management, including precaution and response efforts. Accurate predictions, timely control, and feedback-based continuous analysis and dispatch are critical to developing subway systems. We created a CPS-enhanced subway operations safety framework using the concept of CPS and short-term prediction techniques of subway passenger flow; our framework is characterized by a “flexible and controllable, real-time operation” composed of six components: system, adjust, facilities, early warning, time control, and yielding. In the framework, the forecasting methods of subway passenger flow are the core, and cyber-physical systems are used to couple other components into a safety management information platform in which the CPS is responsible for sensing, control, and feedback in the entire operating process. The entire operating process includes the input acquisition for the forecasting models, early warning publishing and emergency control, and feedback-based re-analysis and dispatch. The proposed framework can provide integrated services for disaster prevention and the control of subway operations.

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Acknowledgements

This paper was supported in part by the National Key R&D Program of China (No 2019YFF0301300) and the National Natural Science Foundation of China (Nos. 70901047 and 7177030217). We also appreciate support for this paper from the Beijing Key Laboratory of Operation Safety of Gas, Heating, and Underground Pipelines.

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Authors and Affiliations

  1. Beijing Research Center of Urban Systems Engineering, Beijing, P.R. China

    Shaobo Zhong & Wei Zhu

  2. Department of Engineering Physics, Tsinghua University, Beijing, P.R. China

    Zhi Xiong & Guannan Yao

Authors
  1. Shaobo Zhong
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  2. Zhi Xiong
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  3. Guannan Yao
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  4. Wei Zhu
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Editor information

Editors and Affiliations

  1. School of Electronics and Computer Science, University of Southampton, Southampton, UK

    Shiyan Hu

  2. Department of Computer Science and Engineering, The Chinese University of Hong Kong, Shatin, Hong Kong

    Bei Yu

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Zhong, S., Xiong, Z., Yao, G., Zhu, W. (2020). A CPS-Enhanced Subway Operations Safety System Based on the Short-Term Prediction of the Passenger Flow. In: Hu, S., Yu, B. (eds) Big Data Analytics for Cyber-Physical Systems. Springer, Cham. https://doi.org/10.1007/978-3-030-43494-6_6

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  • DOI: https://doi.org/10.1007/978-3-030-43494-6_6

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-030-43493-9

  • Online ISBN: 978-3-030-43494-6

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