ITS (intelligent transport systems) is considered very important for solving present urban traffic problem such as traffic congestion, traffic environment, traffic accident, etc. Traffic information service also is an important part to ITS and traveller's route choice. The method which use state space model and AR (auto-regressive) model will be applied to forecast traffic flow and route travel time service at future time in this paper. Traffic flow and route travel time will be dynamically forecasted on real time by these models on the basis of observed traffic flow in time series. Firstly, state space model and AR model will be established with observed traffic flow on urban expressway network. Secondly, models will be also used to forecast traffic flow and route travel time on urban expressway network. Finally, forecast results will be given and analyzed in this paper.


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    Titel :

    An Approach to Dynamic Route Travel Time Forecast on Urban Expressway Network


    Beteiligte:
    Shao, Chunfu (Autor:in) / Asai, Kazuhiko (Autor:in) / Nakagawa, Shinji (Autor:in) / Zhu, Mingxuan (Autor:in)

    Kongress:

    Second International Conference on Transportation and Traffic Studies (ICTTS ) ; 2000 ; Beijing, China



    Erscheinungsdatum :

    2000-07-12




    Medientyp :

    Aufsatz (Konferenz)


    Format :

    Elektronische Ressource


    Sprache :

    Englisch




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