Today, modern vehicles can detect other nearby distracted drivers. The next step could be the management of distracted driving, in which a system guides innocent drivers around distracted drivers. The ego vehicle can share detected nearby distracted drivers with the remote server. The remote server tracks them and generates control suggestions (i.e., speed and lane change advisories) to keep innocent drivers away from distracted drivers. In this paper, we focus on that use case. We propose to generate control suggestions (e.g., speed and lane change advisories) for connected vehicles around inattentive drivers. Extensive simulations show that distracted driving management could decrease the collision risk by 78%.


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    Title :

    Poster: Distracted Driving Management


    Contributors:
    Ucar, Seyhan (author) / Yang, Hao (author) / Oguchi, Kentaro (author)


    Publication date :

    2022-12-01


    Size :

    423340 byte




    Type of media :

    Conference paper


    Type of material :

    Electronic Resource


    Language :

    English



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