Abstract
AbstractThe article takes Xiamafang Station as an example. First, AnyLogic simulation software is used to construct the passenger flow organization model of Xiamafang Station, and the congestion points in the scene of large passenger flow in the morning peak are extracted. Then, takes the average queue length and the density of passengers as evaluation indicators to propose optimization plans. Finally, the simulation results show that the optimized scheme shortens the average queue length of passengers in the station, reduces the density, and makes trip more convenient. It is hoped that the research in the article can provide reference for the optimization of passenger flow organization in subway stations, so that rail transit can provide better services for passengers.KeywordsAnyLogic simulationPassenger flow organization optimizationRail transit
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