AnyLogic-based Optimization Scheme for Predictable Large Passenger Flow Organization in Subway Station
As a key part of urban public transportation,the subway often faces much greater passenger flow pressure than usual due to large-scale events,which poses a severe challenge to the operational efficiency and passenger safety of the subway.A passenger flow simulation model was constructed using simulation software to address the challenge of high passenger flow predictability in subway sta-tions.Through data collection,environmental modeling,behavior process modeling,and simulation operation,the station operation situa-tion was successfully simulated.Based on the characteristics of passenger demand,solutions have been proposed to optimize the in-bound flow line and adjust the layout of turnstiles,aiming to reduce congestion and improve operational efficiency.Through simulation experiments,compare and analyze the effects of different schemes,and determine the optimal scheme.Research has shown that the opti-mal solution can significantly reduce passenger waiting time,improve station congestion,and enhance evacuation efficiency.
subway stationslarge passenger flow organizationsimulation run
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