Urban intersections often suffer from high traffic congestion and emissions due to frequent braking and idling. This study proposes a Speed Control Guidance (SCG) system to optimize vehicle trajectories in mixed traffic, including both internal combustion engine vehicles (ICEVs) and battery electric vehicles (BEVs). A 3D driving simulator assesses driver responses to real-time SCG guidance at signalized intersections. Participants receive color-coded speed recommendations along their route in various scenarios, and their driving behavior is compared to scenarios without SCG. Sociodemographic factors like gender and age influence SCG effectiveness. Female drivers show lower compliance with speed guidance, and older drivers struggle to follow recommendations. To enhance SCG’s effectiveness, it is crucial for researchers and vehicle manufacturers to develop strategies that address the specific needs and preferences of diverse driver groups.


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    Titel :

    Optimizing Speed Control Guidance at Urban Signalized Intersections: A Driving Simulator Study on Driver Behavior and Sociodemographic Factors


    Beteiligte:

    Kongress:

    International Conference on Transportation and Development 2024 ; 2024 ; Atlanta, Georgia



    Erscheinungsdatum :

    13.06.2024




    Medientyp :

    Aufsatz (Konferenz)


    Format :

    Elektronische Ressource


    Sprache :

    Englisch




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