Research On Passenger Traffic Warning Of The Comprehensive Passenger Transport Hub

With the rapid development of high-speed railway in our country,various forms of transportation are integrated by the comprehensive passenger transport terminal,serving as large transportation agent featuring cooperative operation of a variety of transportation modes,which has played a great role in urban rail transit network.Because complex types of passengers emerging at the comprehensive passenger transport terminal and discrepancy of transfer passengers on the different routes and passengers that enter and exit the station through the different gates,the passengers tend to move randomly with large intersection conflict and hidden nodes,which can incur the outburst mass passenger flow and accident thereby.Therefore,it is significant to carry out this study on passenger warning system of comprehensive passenger transport terminal.Based on this context,the following work is done in combination with domestic and foreign literature research and on-site investigation of the terminal station:(1)This thesis analyzes the evolution mechanism of outburst mass passenger flow on comprehensive passenger transport terminal,identifies the outburst mass passenger flow,describes the propagation and attenuation process of outburst mass passenger flow at the terminal station,and analyses the capability and service capacity of different transportation vehicles at the terminal station when mass passenger flow suddenly occurs..(2)A prediction mode is built based on the Kmeans-Grnn neural network which combines Kmeans clustering model and Grnn neural network.With the application of this model,the passenger flow is predicted and the clustering effect of kmeans is improved through BWP index,so the situation of passenger flow can be divided into 16 different types.The prediction can be done after the comparison of prediction data and passenger mode is finished so as to improve the accuracy of GRNN neural network prediction performance and obtain forecast passenger flow with high accuracy.(3)The thesis analyses the warning factors that determine traffic safety state,and considers the density value as the parameters of the warning hierarchies.With the study of the influence of density posed to passenger flow state at home and abroad as reference,the density threshold in different areas under 3-level warning system of red,orange and yellowis determined to divide the warning level.Meanwhile,the study will be carried out based on the service capacity of facility installed at the terminal station and the analysis about capacity of transfer facility installed at Chengdu East Railway Station will be done in a bid to determine regional warning level and put forward the corresponding measures.