Research On Data Analysis And Optimization Of Coordinated Scheduling Problem For Integrated Passenger Transport Hub

Comprehensive passenger terminal is a complex system integrating railway passenger transport,highway passenger transport,conventional traffic,rail transit and community of vehicles.The coordinated dispatch of various traffic modes in the hub directly affects the traffic function of the whole hub.In order to better link the different transport modes of the integrated passenger transport hub,Considering the influence of passenger transfer path selection,the proportion of transport capacity distribution in auxiliary traffic mode,the effective connection between the dominant traffic mode and the auxiliary traffic mode three aspects of the impact.The main contents of the work are as follows.1.Researched the influence of passengers’ own attributes on passenger transfer in comprehensive passenger terminal.First,researched the basic characteristics of passenger transfer.Then analyzed the factors related to the passenger transfer path selection.Carried out a questionnaire survey at the Shanghai Railway Station.Carried out the correlation analysis of passenger’s personal property and passenger transfer selection.Obtained the influence factors of the passenger transfer path selection.2.Researched the coordinate scheduling of bus lines,rail traffic and taxis three different traffic modes.First,using wavelet neural network predicted the traffic flow.Predicted the passenger flow of Shanghai Railway Station.Then investigated the bus and taxi passenger flow data near Shanghai Railway Station.Minimized passenger spending time and hub operating expenses as goals.Constrainted on the degree of matching of transport capabilities.Established a multi-objective optimization model.Using linear weighting method,α-method,two multi-objective optimization methods to solve the model.Obtained the optimal proportion of transport capacity for different modes of transportation.At last had a sensitive analysis on the average travel time.3.Researched the more efficient link coordination of traffic mode and auxiliary traffic mode.First of all,checked the passenger transfer situation of the Shanghai Railway Station to the No.1 subway line.Researched 200 randomly selected travel time samples.The results show that Weibull function can better describe the passenger travel time distribution.Applied the running time sample data by nonlinear regression fitting.Got the time distribution of the transfer between Shanghai Railway Station and Metro Line 1.Minimized the total passenger transfer time as goals and Constrainted on the number of peak train departures.Established the passenger transfer time link model.Using MATLAB caculate this model.Obtained a connection plan for the departure time of the peak line of Subway Line 1.