| In recent years,the passenger traffic volume of urban rail transit has been increasing,the existing station can hardly meet the needs of passengers,particularly in the morning and evening peak period of the transfer station.Aiming at reducing the security risks caused by the excessive flow,the control measure for passenger flow is needed.Firstly,this article classifies the type of urban rail transfer station in China.We take transfer station that named combined transfer station as study of this article.This paper examines the membership of the spatial layout and passenger traffic characteristics,and points out transfer station is vulnerable to become congestion node,so it is necessary to focus on issues the transfer station faced.Secondly,the reason for passenger congestion in the transfer station is complex.Usually the facility capacity,layout of the station,the train operation plan,the full day driving plan,passenger flow organization and other elements altogether affect status of station.This thesis mainly analyzes capacity of station equipment and station passenger flow organization.To alleviate the congestion,passenger flow control measures should be considered.Passenger flow control indicators are advised when relevant measures are conducted.Thirdly,this paper establishes the simulation method of passenger flow control in transfer station.It uses Anylogic software to conduct an agent-based simulation model of three-line transfer station.New agents are built to modify multiple parameters of various passengers at the same time.The simulation model takes multi-factor into account and is fit for different control measures.Simulation model also gives method on how to carry out passenger control measure in the transfer station.Fourthly,the simulation model and method are verified by taking Xinnanmen station as an example.In the light of the forecast passenger flow and discrimination table of bottleneck type,the primary bottlenecks of the transfer station are obtained.Then,control measures are implemented to relieve bottlenecks by means of adjusting service time of gates,setting up the one-way passage of the stairs,and limiting batches of passenger passing through channels.The simulation results indicate the above measures are effective.Finally,a cloud model is constructed to evaluate the simulation optimization result of passenger flow control in transfer station.This model integrates multiple attributes based on quality of service manual and CRITIC method to analyze the passenger flow control results of the entire station,and obtains the overall service level of the station,which is helpful to enhance the cooperation between passengers and staffs. |