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An Integrated Model of Train Re-Scheduling and Control for High-Speed Railway

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  • Xuelei Meng

    (School of Traffic and Transportation, Lanzhou Jiaotong University, Lanzhou 730070, China
    State Key Laboratory of Rail Traffic Control and Safety, Beijing Jiaotong University, Beijing 100044, China)

  • Yahui Wang

    (School of Foreign Languages, Lanzhou Jiaotong University, Lanzhou 730070, China)

  • Li Lin

    (School of Traffic and Transportation, Lanzhou Jiaotong University, Lanzhou 730070, China)

  • Lei Li

    (Key Laboratory of Urban Rail Transit Intelligent Operation and Maintenance Technology & Equipment of Zhejiang Province, Zhejiang Normal University, Jinhua 321004, China)

  • Limin Jia

    (State Key Laboratory of Rail Traffic Control and Safety, Beijing Jiaotong University, Beijing 100044, China)

Abstract

The goal of train re-scheduling is redesigning the time when trains arrive at and depart from stations of a railway section, and train control problem refers to determining the operating mode for a train in a railway section. It is quite necessary to study the two problems together, and they can be viewed as a theory base for self-driving study. We build a novel model to deal with train re-scheduling and train control problem synthetically. The approach is divided into two stages. The first stage is train re-scheduling, determining the arrival and departure time for trains. Depending on the arrival and departure time, the train running time can be calculated and it is set to be the constraint of the train control model. The destination of the second stage model is to save tracking energy in train operation process, determining the traction plan in each segment of a section between two stations. We also design a quantum-inspired particle swarm optimization algorithm to solve the integrated model. A computation case is presented to prove the availability of the approach. It can generate the re-scheduled timetable and train control plan synthetically with the approach presented in this paper. The main contribution of this paper is to propose a novel approach to solve train re-scheduling problem and train control problem synthetically. It can also provide supporting information for both the dispatchers and the train drivers to improve the on schedule rate and reduce the energy consumption. Furthermore, it may provide some valuable reference for the realization of automatic train driving.

Suggested Citation

  • Xuelei Meng & Yahui Wang & Li Lin & Lei Li & Limin Jia, 2021. "An Integrated Model of Train Re-Scheduling and Control for High-Speed Railway," Sustainability, MDPI, vol. 13(21), pages 1-20, October.
    • Handle: RePEc:gam:jsusta:v:13:y:2021:i:21:p:11933-:d:666998
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    References listed on IDEAS

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