The authors propose an algorithm and a framework for effective automatic train rescheduling. Intended for restoration from heavy train traffic disruption, their approach has inherent abilities to make effective train rescheduling plans. While the previous algorithm tries to make a train rescheduling plan in small steps, the proposed one surveys the train time table at first and applies 'train rescheduling patterns' to prepare rescheduling plans. Applying actual train schedule data, they believe that their algorithm and framework presented in this paper can provide an effective rescheduling plan. Especially for a severe train traffic disruption caused by an accident requiring more than about an hour suspending train operations, their algorithm and framework are helpful for preparing adequate rescheduling plans for practical use.


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    Title :

    Train rescheduling algorithm using pattern description language and integrated algorithm framework


    Additional title:

    Algorithmus für Zugfahrpläne unter Verwendung einer Musterbeschreibungssprache und eines integrierten Algorithmensystems


    Contributors:


    Publication date :

    2007


    Size :

    6 Seiten, 8 Bilder, 3 Tabellen, 13 Quellen



    Type of media :

    Conference paper


    Type of material :

    Print


    Language :

    English




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