The cyclic air braking strategy on the long steep downward slopes is one of the main challenges to the heavy haul train control in China. To overcome this dilemma, this paper proposes an optimization method of cyclic air braking strategy based on the approximate dynamic programming (ADP) algorithm which can achieve low maintenance costs and high running efficiency on the premise of safe operation. The optimization problem is described considering the characteristics of the heavy haul railways in China. Then the cyclic air braking strategy on the long steep downward slopes is formalized as a Markov decision process (MDP) and the critical elements in the ADP methodology are introduced according to the constraints and optimization objectives. Further, the value-iteration based ADP approach is proposed to solve the optimization problem of cyclic air braking strategy. The simulation experiments are carried out with the real-world data of the Shuohuang Line to illustrate the effectiveness of the proposed approach.


    Access

    Check access

    Check availability in my library

    Order at Subito €


    Export, share and cite



    Title :

    Optimization of cyclic air braking strategy for heavy haul trains: an ADP approach


    Contributors:
    Su, S. (author) / Liu, W. (author) / Huang, Y. (author) / Tang, T. (author)


    Publication date :

    2021-09-19


    Size :

    406162 byte




    Type of media :

    Conference paper


    Type of material :

    Electronic Resource


    Language :

    English



    Braking-Penalized Receding Horizon Control of Heavy-Haul Trains

    Zhang, Lijun / Zhuan, Xiangtao | IEEE | 2013



    Research on Safety Braking Model of Heavy-Haul Trains Based on Virtual Coupling

    Liu, Zhen / Liu, Xiaojuan / Pang, Bo Yi | IEEE | 2023


    Fault-tolerant control of heavy-haul trains

    Zhuan, Xiangtao / Xia, Xiaohua | Taylor & Francis Verlag | 2010


    Fault-tolerant control of heavy haul trains

    Zhuan, X. | Tema Archive | 2009