Aggressive driving became a public safety crisis in the USA. Aggressive drivers tailgate and weave among lanes, which may cause risky events ending up in collisions. Vehicles should be aware of such nearby aggressive driving and notify drivers to keep them away from aggressive ones. In this paper, we focus on that use case. The ego vehicle observes the movements of other nearby cars and detects aggressive driving. We tested the feasibility of the proposed approach through a simulation. Simulation results show that the ego vehicle could identify aggressive driving on other cars with about 94% accuracy.


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    Titel :

    Aggressive Driving Detection on Other Vehicles


    Beteiligte:
    Matsuda, Tomohiro (Autor:in) / Ucar, Seyhan (Autor:in) / Liu, Yongkang (Autor:in) / Sisbot, E. Akin (Autor:in) / Oguchi, Kentaro (Autor:in)


    Erscheinungsdatum :

    2022-09-01


    Format / Umfang :

    626608 byte





    Medientyp :

    Aufsatz (Konferenz)


    Format :

    Elektronische Ressource


    Sprache :

    Englisch



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