To estimate the line capacity of a railway, the influencing factors on railway line capacity are investigated. First, various states of the China Train Control System (CTCS) under severe ice and snow conditions are discussed. Second, descriptive and analysis models of train operation under adverse situations are given based on a stochastic Petri network. Since the SPN and Markov chain model (MCM) are isomorphic, the transition probability of train operation conditions is analyzed in depth by MCM. Then dynamic line capacity transition probability and fuzzy comprehensive evaluation matrixes are constructed for analyzing the capacity variation of a railway line.


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    Title :

    Estimation of Line Capacity for Railway


    Additional title:

    Lect. Notes Electrical Eng.


    Contributors:
    Liu, Baoming (editor) / Jia, Limin (editor) / Qin, Yong (editor) / Liu, Zhigang (editor) / Diao, Lijun (editor) / An, Min (editor) / Wei, Xu (author) / Xu, Jie (author)

    Conference:

    International Conference on Electrical and Information Technologies for Rail Transportation ; 2019 ; Qingdao, China October 25, 2019 - October 27, 2019



    Publication date :

    2020-04-02


    Size :

    12 pages





    Type of media :

    Article/Chapter (Book)


    Type of material :

    Electronic Resource


    Language :

    English




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