Study On Passenger Flow Assignment Method Based On Train Timetable

With the rapid development between urbanization process in China and the unbalanced regional economic development, resulting in large numbers of people in areas migration needs of transport development put forward higher requirements. With the rapid development of high-speed railway and the construction of high-speed rail network continuously, and the introduction of passenger dedicated line, making planning and the development of transportation products increasingly complex. Theoretical studies as the basis for allocation of passenger traffic product planning is important.This article based from home and abroad with the traffic flow theory, traffic on the Beijing-Shanghai high speed railway line has been analyzed, and research about Passenger Flow Distribution model under known OD demand and train operation diagram are explored. The main works are as follows:(1) States the background and significance of research. Reviewed the literature in the field of the domestic and international road traffic, public transport, urban rail transport and passenger rail transport, and illustrate the uniqueness of railway passenger flow distribution.(2) Stated the existing passenger flow prediction method, indicating the status of the application as well as limitations in predicting passenger flowon individual train, proposed demand for passenger assignment mode.(3) Based on part ofhistorical data on the Beijing-Shanghai high speed railway line and analysis part of the passenger flow characteristics respectively from travel time, travel length, frequency of train service three aspects of the distribution of passenger travel and explore its relevance, explores the different factors for railway passenger flow distribution Impact.(4) Cited what considered the passenger about travel choice, based on the analysis of passenger flow distribution constructed passenger generalized travel cost function, the cost function comprising: travel time cost, long-travel costs, congestion costs three factors. Users Equilibrium binding rule constructed SUE assignment model(Stochastic User Equilibrium). Using Frank-Wolfe algorithm to solve the model approach.(5) Using the model and algorithm for solving problem with ticket selling data as example, analyzed the reason for causing the error with current model, find the optimal configuration parameters within a limited range by enumerating, and explore the model parameters on the assignment results.