Proposed a new problem solving architecture for knowledge-based integration of simulation and scheduling and describes two knowledge-based systems for railway scheduling using it: DIAPLAN and ESTRAC-III. For railway scheduling, the most important point in the problem solving processes of experts is that they integrate simulation with scheduling in an intelligent manner. To emulate these processes on a computer, the architecture consists of four major components-partial simulation, basic commands, tactical knowledge and strategic knowledge. The partial simulation and basic commands are used for simulation of train movements in a subsystem, and tactical knowledge is used for local scheduling. Strategic knowledge is used to emulate the reasoning processes by performing partial simulation and local scheduling repeatedly in a specific order. Since these components are defined independently and layered hierarchically in the architecture, one can develop a knowledge-based system in a step-by-step manner by defining the four components in the order given above.


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    Title :

    A knowledge-based approach for railway scheduling


    Additional title:

    Eine wissensbasierte Methode für das Eisenbahnscheduling


    Contributors:
    Komaya, K. (author) / Fukuda, T. (author)


    Publication date :

    1991


    Size :

    8 Seiten, 7 Quellen




    Type of media :

    Conference paper


    Type of material :

    Print


    Language :

    English




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