European railways are characterized by a very finely woven net structure. The number of trains moving through the net is continuously increasing while on the other hand many railway tracks are being closed. This leads to an increase of the train density, which complicates the control of the traffic process. The traffic process can be considered as a part of a control loop The higher the train density the wider the local disturbances spread over the railway network and the longer lasting their influence on the other train operations. Nowadays the control of the rail traffic process, as a minimization of disturbances, is fulfilled by humans. In this paper the authors present an optimization method for automatic rescheduling of time tables. The method can be used for both dispatching and long term operation planning as these are two similar tasks from the optimization point of view. First we define the optimization task as minimization of the inconveniences for customers, such as train delays, changes of gate, etc. Based on a special coding of the time table we present an optimization method with several levels that help to reduce the calculation efforts. The method has been tested with real data provided by German Railways (Deutsche Bahn AG).


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    Titel :

    Automated dispatching of train operations using discrete optimisation method


    Weitere Titelangaben:

    Automatisierte Zugbetriebssteuerung mit Hilfe der diskreten Optimierung


    Beteiligte:


    Erscheinungsdatum :

    2006


    Format / Umfang :

    12 Seiten, 10 Bilder, 10 Quellen


    Medientyp :

    Aufsatz (Konferenz)


    Format :

    Print


    Sprache :

    Englisch




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