Optimization Study Of Passenger Flow Organization In Passenger Stations Under Epidemic Conditions

The emergence of the epidemic has put railway passenger stations under pressure,such as increased costs and congested passenger flows.In the context of the normalization of the epidemic,it is urgent to efficiently utilize the facilities and equipment within the passenger stations,avoid excessive gathering of passengers,and reduce passenger queueing time.This article is based on the principles of systems engineering and pedestrian movement theory,and it analyzes the passenger flow under the normalization of the epidemic,which is of great significance in improving the utilization of passenger station facilities and ensuring smooth passenger flow.First,this article introduces the classification of passenger stations,functional zoning,and infrastructure,and analyzes the flow paths of passengers entering,exiting,and transferring during the epidemic.It lists the measures adopted by passenger stations during the epidemic and the issues with additional flow paths.Evaluation indicators for passenger flow organization are selected.By comparing the advantages and disadvantages of queuing models and simulation methods and studying passenger flow simulation models and evaluation methods,the Any Logic simulation software based on the social force model is selected for subsequent analysis and evaluation.Next,spatial layout information and passenger flow data of Tianjin West Station are collected.The Any Logic simulation software is used to build a three-dimensional model of Tianjin West Station.A seasonal model is used to predict the passenger flow under the normalization of the epidemic,and the predicted results are used as the basic data for the simulation software.Based on the characteristics of peak passenger flow during holidays and working days,the simulation focuses on peak hours of passenger flow.A one-meter distance between passengers and the location of nucleic acid testing points within the passenger station are set.The simulation simulates the processes of passengers entering and exiting the station,waiting,and transferring.By analyzing the simulation density map,congested locations of passenger flow paths are identified.Finally,optimization solutions are proposed for the bottleneck points of the flow paths obtained from the simulation.Optimization is carried out in areas such as passenger queuing methods,the location of transfer points for social vehicles and taxis on transfer levels,the positioning and quantity of nucleic acid testing points.The optimized model is run,and simulation data is obtained.Relevant data,such as equipment utilization,queueing time,passenger transfer distance,and passenger flow density,are compared before and after the optimization to verify the feasibility of the optimization solutions.