We present the real-time 3D traffic simulator RASY (Real-time autonomous vehicle traffic simulator developed by Yonsei University), for the modeling and analysis of various congestion scenarios, including interactions among human-driven and autonomous vehicles. Vehicles with different control models can be generated to investigate the effects of vehicle models and traffic environment on the traffic flow during simulations of congestion. A data log of the simulation can be exported for post-processing analysis. Following an analysis of simulation data under congested conditions, we found that a faster reaction time of an individual vehicle can raise the overall flow rate of a road, raising the critical vehicle density for congestion.


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    Titel :

    A 3-dimensional real-time traffic simulator considering the interaction among autonomous and human-driven vehicles


    Beteiligte:
    Lee, Sangho (Autor:in) / Kim, Jaegwan (Autor:in) / Song, Hoondong (Autor:in) / Kim, Shiho (Autor:in)


    Erscheinungsdatum :

    01.10.2014


    Format / Umfang :

    869387 byte




    Medientyp :

    Aufsatz (Konferenz)


    Format :

    Elektronische Ressource


    Sprache :

    Englisch



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