Research On Stop-Schedule Optimization Of High-Speed Train Based On Transferred Passenger Flow

As a high-speed rail network is building up gradually, the various characteristics of passenger flow determines the transferred travel of our country’s high-speed railway passenger will be more common. In order to meet the traveling demand for people whose quality of life and economic level are increasing gradually, it’s more important to prepare the higher standard stop-schedule which can provide a high quality, convenient, fast and comfortable mode of transportation for passengers.This thesis analysis the transferred characteristic of the high-speed railway passenger flow and optimizes stop-schedule on the base of the existing researches. Firstly, it analyzes the characteristics of high-speed railway passenger flow, and puts forward the necessity of transferred passenger flow, and points out that the differences of the stop-schedule between the existing railway lines and high-speed lines on the goal of service, number and proportion of train stops, and the stopping time. Secondly, it analyzes the transferred passengers’ behavior, and indicates the main factors influencing the satisfaction degree for transferred passenger flow are travel time, travel cost, the convenience of transferring, the number of the train that can provide travel, and so on. It also analyzes the transferred behavior of passenger flow based on different transferred time, and studies the technical conditions that the stations are required for transferred passengers. Then, it explores the stations’ distribution regularity in line, and obtains the critical distance of high-speed train when the passengers need to transfer by calculating the passenger’s generalized cost. It shows that:It’s better for the passengers with the higher time value to choose to transfer to high-speed train; The stop-schedule can attract passengers with different time value to transfer to high-speed train as long as the transferred time is short enough. The reachable of high-speed railway passenger flow and the degree of reachability are mentioned in this thesis, and the mathematical expressions are given. Meanwhile, the reachability of transferred passenger flow when traveling through the same railway or passing different lines are also described. The thesis explains the interaction mechanism from two aspects, and design principles of stop-schedule based on the transferred passenger flow are put forward. Finally, a multi-objective optimization model is established and a Genetic Annealing evolutionary algorithm is used. The goal of this model is to reduce the cost of train stop and maximize the convenience degree for passenger.