We address the question of whether opinion dynamics models can be exploited in novel scenarios, such as traffic flow on highway lanes. In this paper, we design a Markovian model and compare its predictions with those obtained from the widely recognized Cell Transmission Model (CTM) for the same traffic scenario. We identify potential challenges that may arise and propose strategies to address them. Furthermore, we present a concise demonstration showcasing the predictive capabilities of our proposed model through a small-scale example.


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    Titel :

    Modelling Traffic Scenarios via Markovian Opinion Dynamics


    Beteiligte:
    Gaetan, Elisa (Autor:in) / Giarre, Laura (Autor:in) / Sacone, Simona (Autor:in) / Falcone, Paolo (Autor:in) / Heiker, Carl-Johan (Autor:in)


    Erscheinungsdatum :

    24.09.2023


    Format / Umfang :

    476273 byte





    Medientyp :

    Aufsatz (Konferenz)


    Format :

    Elektronische Ressource


    Sprache :

    Englisch




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