The development of the railway infrastructure, as well as the intensification of exploitation of railways, made it necessary to schedule the motion of trains to prevent their collision and blocking. Railway transport logistic problems aimed at providing the organization of work of rolling stock in the framework of a railway infrastructure are considered. Planning and organization of railway traffic is a key factor to providing safe and effective functioning of the entire railway transportation system. The currently used approach, based on target plans, is not always successful in practice, especially in emergencies resulting from the fluctuation of traffic capacities of a railway infrastructure. A mathematical model of rolling stock logistics is constructed, accounting for all the key specific features of the railway infrastructure. In the framework of the constructed mathematical model, optimization problems for scheduling the traffic of locomotives and trains for an assigned planning interval are formulated. Solution algorithms, assessing time complexity, are presented for all the formulated problems.


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    Titel :

    Planning Algorithms in the Decision-Making Support System for Logistic Problems


    Weitere Titelangaben:

    Lect. Notes Electrical Eng.


    Beteiligte:
    Radionov, Andrey A. (Herausgeber:in) / Gasiyarov, Vadim R. (Herausgeber:in) / Vlasov, S. E. (Autor:in) / Starostin, N. V. (Autor:in) / Timofeev, A. E. (Autor:in)

    Kongress:

    International Russian Automation Conference ; 2020 ; Sochi, Russia September 06, 2020 - September 12, 2020



    Erscheinungsdatum :

    2021-03-19


    Format / Umfang :

    12 pages





    Medientyp :

    Aufsatz/Kapitel (Buch)


    Format :

    Elektronische Ressource


    Sprache :

    Englisch