Trajectory elements of train movement, such as departure and running times, are subject to random influences, which can lead to disruption of the arrivals. Analysis of the corresponding probability distributions and their changes, which arise depending on intermediate stations, makes it possible to identify the degree of influence of various factors on the movement process, as well as to assess the quality of train traffic control. This article provides an approach for calculating the distribution of the arrival time deviations and investigates the evolution of this distribution when trains travel on an extended section of a main railway line. Historical data on the scheduled freight train traffic at the Russian Railways are used to verify the proposed model.


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    Title :

    Evolution of Probabilistic Characteristics in the Train Traffic Process


    Additional title:

    Lect. Notes in Networks, Syst.



    Conference:

    Scientific And Technical Conference Transport Systems Theory And Practice ; 2021 ; Katowice, Poland September 21, 2021 - September 23, 2021



    Publication date :

    2021-11-03


    Size :

    9 pages





    Type of media :

    Article/Chapter (Book)


    Type of material :

    Electronic Resource


    Language :

    English




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