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A cooperative evacuation strategy for mass passenger flow in urban rail transit transfer stations

Author

Listed:
  • Hong-Fei Jia

    (School of Transportation, Jilin University, Changchun 130022, P. R. China)

  • Heng Sang

    (#x2020;Shenzhen Urban Transport Planning Center, ShenZhen 518000, P. R. China)

  • Qing-Yu Luo

    (School of Transportation, Jilin University, Changchun 130022, P. R. China)

  • Jin-Ling Yang

    (School of Transportation, Jilin University, Changchun 130022, P. R. China)

  • Hong-Zhi Miao

    (School of Transportation, Jilin University, Changchun 130022, P. R. China)

Abstract

In reviewing the evacuation problem of mass passenger flow in urban rail transit transfer stations, the cooperative evacuation strategy considering urban rail transit and emergency bus simultaneously is found to be an efficient way. In this work, firstly, the dynamic characteristics of mass passenger flow are analyzed based on the abstraction and simplification of major entities of urban rail transit, including passengers, stations and trains. Then, the operations of the urban rail transit system are modeled, including the boarding, landing and transferring processes of the passengers and the status updating flows of the trains and stations. To realize the cooperative evacuation, a multi-objective optimization model considering the evacuation speed, the number of passengers transferred, and the amount of emergency buses is proposed. The NSGA-II algorithm is adopted to solve the proposed model, which can balance the theoretical validity and computational convenience. Last, the proposed strategy is applied in a real-life case based on the Shanghai Metro line, and the results verify its effectiveness and efficiency.

Suggested Citation

  • Hong-Fei Jia & Heng Sang & Qing-Yu Luo & Jin-Ling Yang & Hong-Zhi Miao, 2021. "A cooperative evacuation strategy for mass passenger flow in urban rail transit transfer stations," International Journal of Modern Physics C (IJMPC), World Scientific Publishing Co. Pte. Ltd., vol. 32(01), pages 1-23, January.
  • Handle: RePEc:wsi:ijmpcx:v:32:y:2021:i:01:n:s0129183121500078
    DOI: 10.1142/S0129183121500078
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    Cited by:

    1. Liang Zou & Suiying Hu & Lingxiang Zhu, 2023. "Based on AFC Data Calculation of Walking Time in Metro Stations Considering the Impact of Passenger Flows," Sustainability, MDPI, vol. 15(8), pages 1-14, April.

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