Abstract The objective of this research was to use the SHRP 2 NDS data to predict whether drivers were engaged in any of three specific groups of distracting tasks or no secondary task at all. The tasks that were examined included: talking or listening on a hand-held phone, texting or dialing on a hand-held phone, and driver interaction with an adjacent passenger. Multiple logistic regression was used to determine the odds of driver engagement in one of the secondary tasks given corresponding driving performance data. The results indicated there were differences in the driving performance measures when the drivers were engaged in a secondary task. However, the results of the MLR tests indicated the subset of this data could not be used to develop prediction models with statistically significant predictive power.


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    Titel :

    Exploration of the SHRP 2 NDS: Development of a Distracted Driving Prediction Model


    Beteiligte:
    Jenkins, Syndney (Autor:in) / Codjoe, Julius (Autor:in) / Alecsandru, Ciprian (Autor:in) / Ishak, Sherif (Autor:in)


    Erscheinungsdatum :

    2016-07-07


    Format / Umfang :

    12 pages





    Medientyp :

    Aufsatz/Kapitel (Buch)


    Format :

    Elektronische Ressource


    Sprache :

    Englisch




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