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

Hong-Fei Jia (), Heng Sang (), Qing-Yu Luo (), Jin-Ling Yang and Hong-Zhi Miao ()
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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

International Journal of Modern Physics C (IJMPC), 2021, vol. 32, issue 01, 1-23

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.

Keywords: Rail transit; mass passenger flow; coordination evacuation; multi-objective optimization (search for similar items in EconPapers)
Date: 2021
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DOI: 10.1142/S0129183121500078

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