This paper takes passenger flow in Wuhan subway stations as research objects, investigating three passenger flow conditions: inbound, outbound and transfer in stations. Firstly, the main bottleneck and existing problems of each condition have been analyzed. Then, the simulation models of major bottlenecks have been simulated by AnyLogic software and their simulation accuracy have been verified. Finally, passenger flow guidance of each condition has been conducted in the simulation models. The results show that, the passing capacity of the bottleneck can be improved by more than 23.6% in inbound condition, 10% in outbound condition and 30.7% in transfer condition after passenger flow guidance.


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    Title :

    Optimization of Passenger Flow Guidance in Rail Transit Station Based on AnyLogic


    Additional title:

    Lect. Notes Electrical Eng.


    Contributors:
    Zhang, Zhenyuan (editor) / Xiong, Jie (author) / Li, YaZhuo (author) / Liu, Xia (author)

    Conference:

    International Conference on Intelligent Transportation Engineering ; 2021 ; Beijing, China October 29, 2021 - October 31, 2021



    Publication date :

    2022-06-01


    Size :

    10 pages





    Type of media :

    Article/Chapter (Book)


    Type of material :

    Electronic Resource


    Language :

    English




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