Optimization of passenger flow organization analysis for high-speed railway passenger stations using the computer simulation software Anylogic (an example of a Xipu high-speed railway station)

The significance of passenger flow organization of high-speed railway passenger stations for railroad transportation is self-evident, and achieving passenger flow organization sustainability can greatly improve transportation efficiency. In this paper, the passenger flow organization evaluation index criteria are constructed from three aspects: timeliness, smoothness, and comfort, and four indicators are used to analyze and evaluate the level of passenger flow organization, namely average queuing time for pedestrians, average transfer time, average queuing length, and pedestrian density. The Anylogic computer simulation software, which is based on the social force model algorithm, is used to simulate passenger flow in the station hall and platform during peak hours. The simulation results show that the main problems of passenger flow organization at the Xipu high-speed railway station's entrance security checkpoint and interchange subway platform are identified, analyzed, and optimized to make reference suggestions for the actual operation plan.