Despite persistent efforts at the local, state, and federal levels, alcohol-impaired crashes still contribute to approximately 30% of all traffic fatalities. Although enforcement and educational approaches have helped to reduce alcohol-impaired fatalities, other approaches will be required to further reduce alcohol-related fatalities. This paper describes an approach that detects alcohol impairment in real time using vehicle-based sensors to detect alcohol-related changes in drivers behavior. Data were collected on the National Advanced Driving Simulator from 108 volunteer drivers. Three age groups (21-34, 38-51, and 55-68 years of age) drove through representative situations on three types of roadways (urban, freeway, and rural) at three levels of blood alcohol content (0.00%, 0.05%, and 0.10% BAC).


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    Title :

    Using Vehicle-based Sensors of Driver Behavior to Detect Alcohol Impairment


    Contributors:
    J. Lee (author) / T. Brown (author) / D. Fiorentino (author) / J. Fell (author) / E. Traube (author)

    Publication date :

    2011


    Size :

    11 pages


    Type of media :

    Report


    Type of material :

    No indication


    Language :

    English




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