On the basis of clarifying the characteristics of the intercity train’s stop-plan and analyzing of China's typical intercity train stop-plan status quo, the thesis analyzes the factors that affect the passenger flow of intercity train according by the concept of passenger flow distribution and the generation mechanism of intercity traffic passenger flow. And then based on the index system of passenger node influencing factors, the rules of division of passenger node level of intercity railway are analyzed by gray relational method. Then, under the premise of these theoretical analysis, the thesis establishes an optimization model of intercity railway’s stop-plan based on passenger travel characteristics, and puts forward the algorithm: Firstly, based on the constraints of passenger node level, train capacity, train stop-plan and station service frequency, the thesis establishes an optimization model of intercity railway’s stop-plan, which objective function is the minimum loss of passenger travel time, and the most balanced distribution of rail line stop-plan. Later, an algorithm for solving the optimization model is proposed by using particle swarm optimization and genetic algorithm. Finally, the thesis makes an optimization study on the stop-plan of Shanghai - Nanjing intercity railway: Establishing an analytical index system for the stop-plan, identifying the parameters of the optimization model, getting the better stop-plan, and comparing with the existing plan of Shanghai - Nanjing intercity railway, and finally validates the validity of the optimization model established in the thesis. Key words: Intercity Train’s Stop-plan, Passenger Travel Characteristics, Shanghai-Nanjing Intercity High Speed Railway

CICTP