This paper presents a framework for on-line simulations and predictions of traffic states in large-scale networks, which is based on the combination of real-world traffic data with an agent-based traffic flow model. The system is applied to the urban road network of Duisburg and the freeway network of North Rhine-Westphalia. On the basis of historical traffic demand data heuristics are derived, which are combined with the current data to provide a short-term traffic forecast. Additionally, the demand for an anticipatory traffic forecast, which includes decision-making and route choice behaviour of the road users, is discussed.


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    Titel :

    Towards a multi-agent system for on-line simulations based on real-world traffic data


    Beteiligte:
    Schreckenberg, M. (Autor:in) / Wahle, J. (Autor:in)

    Erschienen in:

    Automatisierungstechnik - at ; 49 , 11 ; 485-492


    Erscheinungsdatum :

    2001


    Format / Umfang :

    8 Seiten, 7 Bilder, 35 Quellen




    Medientyp :

    Aufsatz (Zeitschrift)


    Format :

    Print


    Sprache :

    Englisch




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