Study On Passenger Safety Risk Of Shanghai Metro

City track traffic safety problems frequently over the years,both at home and abroad from time to time will be reported metro safety accident news,and city rail transit as a public transport,carrying the city passenger travel about half the amount,so the security risk prediction is particularly important.First use the rail transit passenger flow growth law "and" Rail Transit District and inter station OD conversion "and" rail passenger assignment "and other key technology to establish a short-term passenger flow forecast model and using historical data to verify the prediction for the Shanghai subway network overall situation of passenger flow,the opening of the new passenger lines and key station flow.On the basis of this data,the passenger flow in a large passenger flow safety accident is controlled.It also determines that the Shendu highway station,the Century Avenue station and the Hongqiao railway station need the focus of attention.According to the law of "urban rail transit passenger flow growth" and the law of daily variation in middle age,the figure equation method is used to calculate the law equation,which is more accurate.In the OD conversion of OD and inter station,the method of searching the optimal path by ant colony emission is proposed.An effective security plan is the precondition of analyzing the safety of passenger flow,and the vehicle operation and scheduling and the analysis of the plan provide the purpose of security.The prediction of passenger flow density data,aiming at large passenger station,caused by the combined Peak Station of large passenger flow,safety control with the PID control algorithm of large passenger rail transportation in Shanghai peak,detailed description of the construction of the neural network PID control system of Shanghai rail transit station of passenger flow and process control.This paper takes the security of large passenger flow as the main line,and puts forward control and rectification measures for the security problems of station level,line level and network level.In terms of passenger flow prediction model,this paper breaks through the traditional framework,and quantifies the influencing factors and makes in-depth research.A short-term passenger flow prediction model is developed,which has higher accuracy and stability.Before this article,PID control and neural network intelligent algorithm have never been applied to the passenger flow control of urban rail transit.This is a great innovation of this paper.