Abstract Autonomous vehicles will most likely participate in traffic in the near future. The advent of autonomous vehicles allows us to explore innovative ideas for traffic control such as norm-based traffic control. A norm is a violable rule that describes correct behavior. Norm-based traffic controllers monitor traffic and effectuate sanctions in case vehicles violate norms. In this paper, we present an extension of SUMO that enables the user to apply norm-based traffic controllers to traffic simulations. In our extension, named TrafficMAS, vehicles are capable of making an autonomous decision on whether to comply with norms. We provide a description of the extension, a summary on its implementation and demonstrative experiments.


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    Titel :

    A SUMO Extension for Norm-Based Traffic Control Systems


    Beteiligte:
    Baumfalk, Jetze (Autor:in) / Dastani, Mehdi (Autor:in) / Poot, Barend (Autor:in) / Testerink, Bas (Autor:in)


    Erscheinungsdatum :

    2018-07-14


    Format / Umfang :

    28 pages





    Medientyp :

    Aufsatz/Kapitel (Buch)


    Format :

    Elektronische Ressource


    Sprache :

    Englisch