Journal of South China University of Technology(Natural Science) >
Comprehensive Optimization of Track Scale Configuration of Intermediate Station and Train Timetable of High-Speed Railway
Received date: 2022-05-31
Online published: 2022-11-16
Supported by
the National Natural Science Foundation of China(61603140)
The track scale of high-speed railway intermediate station is an important factor affecting the line carrying capacity and transportation efficiency. In the planning stage of the high-speed railway line, it is difficult to predict the long-term passenger flow. Therefore, after a period of operation, it is often necessary to update the track scale of intermediate stations along the line by building side tracks or platforms. For high-speed railways, the trains running on their lines are all electric multiple unit trains, with short track intervals, high departure densities and no long dwell time at intermediate stations. Therefore, high-speed railways generally operate in fast-in and fast-out operation mode. At the same time, the construction and operation of high-speed railways have a high cost attribute. The article constructed a comprehensive optimization model with the renovation construction cost and total travel time as the evaluation objectives and the coupling relationship between the train timetable and the number of intermediate station tracks as constraints. On the basis of linearizing the constraints, the model was solved with the help of commercial optimization software GAMS with CPLEX solver. The results of the calculation example show that the comprehensive optimization of the track configuration of the intermediate stations and train timetable can not only determine the stations for train overtaking and turning back in the timetable but also meet the future passenger demand to the greatest extent at the lowest construction cost.
ZHENG Yajing, MA Zihan, CHANG Xiaoting, et al . Comprehensive Optimization of Track Scale Configuration of Intermediate Station and Train Timetable of High-Speed Railway[J]. Journal of South China University of Technology(Natural Science), 2023 , 51(4) : 115 -123 . DOI: 10.12141/j.issn.1000-565X.220329
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