Railway network operations are vulnerable to unplanned events such as failures of network components and natural disasters. These events normally cause timetable disruption, which might lead to serious impacts on both passengers and freights in the network. This paper presents a railway disruption management model that can be applied to assess and compare the efficiency of short-turning strategies implemented to solve an unplanned-track blockage situation. The model is constructed based on a stochastic-discrete event simulation concept. The application of the proposed model is demonstrated using the urban railway network in the UK. The results of the computational experiments illustrate that the proposed model is a useful tool to support a decision-making process to solve a track blockage situation in the real world.


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    Titel :

    Short-Turning Management During Railway Network Disruptions


    Weitere Titelangaben:

    Lect.Notes Mobility


    Beteiligte:
    Weerawat, Waressara (Herausgeber:in) / Kirawanich, Phumin (Herausgeber:in) / Fraszczyk, Anna (Herausgeber:in) / Marinov, Marin (Herausgeber:in) / Meesit, Ratthaphong (Autor:in) / Andrews, John (Autor:in)

    Erschienen in:

    Urban Rail Transit ; Kapitel : 13 ; 233-243


    Erscheinungsdatum :

    29.09.2020


    Format / Umfang :

    11 pages





    Medientyp :

    Aufsatz/Kapitel (Buch)


    Format :

    Elektronische Ressource


    Sprache :

    Englisch




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