| Rail transport as a major part of urban transportation,bear an important responsibility passenger transport.Especially when the planned special events,due to space limitations and crowded,people choose to take the urban rail transportation to and from events.This will inevitably cause large-scale passenger flow to gather and dissipate.Therefore,this article is aimed at the non-long-term service of planned special events.Based on the correlation of the service status of each station’s facilities,a prediction model for the distribution of station passenger flow is constructed.And on this basis,the passenger flow control model is formulated,combined with the heuristic algorithm to solve passenger flow control strategy and facility optimization plan of the planned special event.Provide a reference for making emergency plans for the planned special events.In this paper work as follows:(1)By comparing the characteristics of the planned special event passenger flow and normal flow,analyze and summarize the space-time characteristics of the planned special event passenger flow.By comparing and analyzing the characteristics of inbound passenger flow distribution,passenger flow dissipation time,and time imbalance,it can be concluded that the passenger flow during the planned special event is obviously concentrated,with a duration of 1-2 hours,and the larger the scale of activity,the greater the peak value of passenger flow,the longer the passenger flow dissipates.According to the analysis of indicators such as cross-section passenger flow,cross-section disequilibrium coefficient,and average full-load rate of trains,it is found that the cross-section passenger flow of stations of the planned special event increases sharply during the intermission period,and the average full-load rate of trains between station of the planned special event and adjacent stations is higher,and other sections low.(2)Considering the variability of the service status of station facilities,a prediction model of station passenger flow distribution based on state correlation is constructed.The influence of upstream facility input passenger flow and downstream facility detention passenger flow on the status of passing facility service system is studied.The influence of passenger flow interweaving,passenger flow density and passenger flow ratio on distributed facility service system state is to optimize the facility service system to make it more real.Connect the service system of each facility and combine it with the inbound passenger flow prediction model to build a station passenger flow distribution prediction model based on state correlation,which can predict the excessive facility passenger flow,facility load and passenger delay time in the station in real time.(3)Considering the characteristics of the planned special event’s passenger flow and the purpose of grooming,a planned special event flow control model for stations based on passenger flow bottleneck facilities is proposed.Compared with the existing research,this model focuses on local problems from the perspective of the station as a whole,considering the constraints of the service capabilities of the station’s overall facilities.The passenger flow of the planned special events control model of bottleneck facilities,and use particle swarm optimization algorithm to find the optimal solution model,and the best ideal service rate of the passenger flow bottleneck facilities is obtained.To reduce the bottleneck of passenger flow and achieve the purpose of quickly dissipating to other sites.(4)Analyze the Olympic Park Station.Analyze the passenger flow line,station structure and facility layout of the station;predict the passenger flow at the station;use the station facility service system to predict the passenger flow distribution within the station,and estimate the excess passenger flow,facility load and passenger delay time at each facility;The passenger flow control model is used to solve the optimal service rate and passenger flow control strategy for bottleneck facilities.Comparing before and after control,it is verified that the passenger flow control model can effectively increase the number of passengers and speed up the dissipation of large passenger flows.The facility configuration scheme is put forward to provide reference for the formulation of emergency plan.Taking the relative delay time factor of the facility as less than 0.05 as the constraint condition,the station facility configuration plan provides the reference for formulating the emergency plan when the facility consumption cost is estimated to be the least. |
