In 2010, 32,855 fatalities and over 2.2 million injuries occurred in automobile crashes, not to mention the immense economic impact on our society. Two of the four most frequent types of crashes are rear-end and lane departure crashes. In 2011, rear-end crashes accounted for approximately 28% of all crashes while lane departure crashes accounted for approximately 9%. This paper documents a study on the NADS-1 driving simulator to support the development of driver behavior modeling. Good models of driver behavior will support the development of algorithms that can detect normal and abnormal behavior, as well as warning systems that can issue useful alerts to the driver. Several scenario events were designed to fill gaps in previous crash research. For example, previous studies at NADS focused on crash events in which the driver was severely distracted immediately before the event. The events in this study included a sample of undistracted drivers. Additionally, this study included data collection on an unforced lane departure event, in addition to the forward collision scenarios. This paper summarizes the experimental design and results, including comparisons between these data and legacy data involving distracted forward collision events. This is the second study in a series of three funded by the Toyota Collaborative Safety Research Center.


    Zugriff

    Zugriff prüfen

    Verfügbarkeit in meiner Bibliothek prüfen

    Bestellung bei Subito €


    Exportieren, teilen und zitieren



    Titel :

    Driver Behavior in Forward Collision and Lane Departure Scenarios


    Weitere Titelangaben:

    Sae Technical Papers


    Beteiligte:
    Schwarz, Chris (Autor:in) / Gaspar, John (Autor:in) / Gunaratne, Pujitha (Autor:in) / Chrysler, Susan (Autor:in) / Brown, Timothy (Autor:in)

    Kongress:

    SAE 2016 World Congress and Exhibition ; 2016



    Erscheinungsdatum :

    05.04.2016




    Medientyp :

    Aufsatz (Konferenz)


    Format :

    Print


    Sprache :

    Englisch