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).
Using Vehicle-based Sensors of Driver Behavior to Detect Alcohol Impairment
2011
11 pages
Report
No indication
English
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