Traffic simulation is utilized to solve traffic-related problems. Microscopic simulations can describe individual vehicles and thus reproduce detailed vehicle behavior. To use a simulator, traffic demand should be estimated in the form of an origin-destination (OD) matrix. The simulator and OD estimation models must be consistent. In addition, microscopic models are sensitive to congestion, and can thus easily produce unexpected congestion. Here, we propose a simulator-embedded OD estimation method that uses congestion sensing. We minimize the residual between the observed and simulated link traffic volumes with some constraints regarding congestion. If a link is judged to be congested, we use resistance in a constraint in the optimization problem, which is determined by the number of the stuck vehicles at each link. Use of the resistance prevents excessively large traffic demand for that link. This congestion sensing mitigates unrealistic congestion in the estimated traffic demand.


    Zugriff

    Zugriff prüfen

    Verfügbarkeit in meiner Bibliothek prüfen

    Bestellung bei Subito €


    Exportieren, teilen und zitieren



    Titel :

    Estimation of Traffic Demand Corresponding to Observed Link Traffic Volume in Microscopic Simulation


    Beteiligte:
    Abe, Kazuki (Autor:in) / Fujii, Hideki (Autor:in) / Yoshimura, Shinobu (Autor:in)


    Erscheinungsdatum :

    2019-10-01


    Format / Umfang :

    2407665 byte




    Medientyp :

    Aufsatz (Konferenz)


    Format :

    Elektronische Ressource


    Sprache :

    Englisch



    Rapid traffic demand estimation method for urban traffic simulation

    ZHANG WEI / FENG TIAN / ZHANG JILING et al. | Europäisches Patentamt | 2023

    Freier Zugriff


    Dynamic demand estimation and microscopic traffic simulation of a university campus transportation network

    Huang, Shan / Guo, Liya / Yang, Yan et al. | Taylor & Francis Verlag | 2012


    Evaluation of travel demand strategies: a microscopic traffic simulation approach

    Zhao, Y. / Triantis, K. / Edara, P. | Online Contents | 2010


    Evaluation of travel demand strategies: a microscopic traffic simulation approach

    Zhao, Y. / Triantis, K. / Edara, P. | Online Contents | 2010