Research On Intercity Railway Timetable Rescheduling Problem Towards Reducing Passengers Delay

With the development of urbanization,intercity railway will become an important transportation mode for regional travel.Since the intercity passenger flow shares the same characteristics with both trunk railway and urban rail transportation,both reserved seat and unreserved seat have advantages in intercity railway passenger flow organization.The use of different seat modes will have a different impact on timetable rescheduling and also a direct impact on passengers delay.It is of great theoretical and practical significance to study the timetable rescheduling theory and method which adapt to the characteristics of intercity railway and take the seat modes into account.Based on the existing research results,in this thesis we constructed the mixed integer programming model(MIP)and the simulation model for intercity railway timetable rescheduling and designed the corresponding algorithm according to different adjustment measures.Firstly,in order to determine the objectives,principles and measures of intercity railway timetable rescheduling,we analyzed the characteristics of intercity railway timetable rescheduling from the aspects of supply and demand characteristics and the seat mode.Then,the intercity railway timetable rescheduling model was constructed,which was composed of MIP model of timetable rescheduling and simulation model of passenger entraining.What's more,the MIP model included the M1 model which minimized the deviation from the planned timetable and the M2 model which minimized the total delay of passengers.The iterative solution process was adopted.The passenger flow distribution calculated by simulation model was taken as the input data of the timetable rescheduling model to obtain the iterative timetable rescheduling scheme.Finally,some tests based on Guangzhou-Zhuhai intercity railway were used to evaluate the model.The test results showed that the timetable rescheduling model and algorithm constructed in this thesis can be used under different case sizes,and the solving time and solution result were reasonable.