In recent years, the rapid development of high-speed rail in China has led to an increase in rail mileage and passenger turnover. As critical nodes in the high-speed rail network, high-speed rail stations bear significant pressure from passenger flow distribution and transfer, often leading to congestion and increasing the risk of stampedes, which hinders the efficient and safe movement of passengers. This study focuses on Xi'an North Railway Station, using field investigations to gather data on the station's facilities, passenger flow characteristics, and various related metrics. A simulation model was established using Anylogic to analyze the passenger flow within the station, identifying potential traffic bottlenecks and conflict points during peak times. Based on the simulation results, optimization strategies were proposed, including flow line improvements and passenger diversion methods to reduce conflicts and enhance circulation efficiency. The improved simulation model was re-evaluated using indicators such as pedestrian density and average walking time, demonstrating the effectiveness of the optimization measures. This study aims to improve the passenger flow organization at Xi'an North Railway Station, promoting higher efficiency, convenience, and safety in passenger management.


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    Title :

    Optimization of passenger flow at Xi'an North Railway Station: simulation and strategy implementation


    Contributors:

    Conference:

    International Conference on Smart Transportation and City Engineering (STCE 2024) ; 2024 ; Chongqing, China


    Published in:

    Proc. SPIE ; 13575


    Publication date :

    2025-04-28





    Type of media :

    Conference paper


    Type of material :

    Electronic Resource


    Language :

    English