Amongst train operation factors that affect railway capacity, train speed is crucial. It fluctuates due to train operation equipment or facility impairments under adverse operation conditions. Firstly, the train operation models are transformed into Markov chain models (MCM). By solving the ergodic MCM, the actual speed of train can be estimated. Thus, the transfer probability matrix of train speed could be derived. According to the matrices, the transfer probability with fuzzy states using the conditional probability of the fuzzy event, the railway capacity can be estimated.


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    Title :

    Estimate of Railway Line Capacity Under Adverse Operation Condition


    Additional title:

    Lect. Notes Electrical Eng.


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

    Conference:

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



    Publication date :

    2020-04-04


    Size :

    14 pages





    Type of media :

    Article/Chapter (Book)


    Type of material :

    Electronic Resource


    Language :

    English




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