Driver crash risk factors and prevalence evaluation using naturalistic driving data

Proceedings of the National Academy of Sciences of the United States of America

Volumn 113, Issue 10, 2016, Pages 2636-2641

  Dingus, Thomas A ^a   Guo, Feng ^a,b   Lee, Suzie ^a   Antin, Jonathan F ^a   Perez, Miguel ^a   Buchanan King, Mindy ^a   Hankey, Jonathan ^a  

^a VIRGINIA TECH TRANSPORTATION INSTITUTE   (United States)

^b VIRGINIA POLYTECHNIC INSTITUTE AND STATE UNIVERSITY   (United States)

Author keywords

Crash risk; Driver distraction; Driver error; Driver impairment; Naturalistic driving

Indexed keywords

ADULT; AGITATION; ANGER; ARTICLE; CONTROLLED STUDY; CRYING; DROWSINESS; ERROR; FATIGUE; FEMALE; HUMAN; MALE; PREVALENCE; PRIORITY JOURNAL; RISK FACTOR; SADNESS; TRAFFIC ACCIDENT; ADOLESCENT; AGED; ALGORITHM; ATTENTION; CAR DRIVING; CITY; CLINICAL TRIAL; FACTUAL DATABASE; MENTAL STRESS; MIDDLE AGED; MULTICENTER STUDY; ODDS RATIO; PSYCHOLOGY; SLEEP STAGE; STATISTICS AND NUMERICAL DATA; THEORETICAL MODEL; UNITED STATES; VERY ELDERLY; YOUNG ADULT;

ACCIDENTS, TRAFFIC; ADOLESCENT; ADULT; AGED; AGED, 80 AND OVER; ALGORITHMS; ATTENTION; AUTOMOBILE DRIVING; CITIES; DATABASES, FACTUAL; FATIGUE; HUMANS; MIDDLE AGED; MODELS, THEORETICAL; ODDS RATIO; RISK FACTORS; SLEEP STAGES; STRESS, PSYCHOLOGICAL; UNITED STATES; YOUNG ADULT;

EID: 84960890211     PISSN: 00278424     EISSN: 10916490     Source Type: Journal    
DOI: 10.1073/pnas.1513271113     Document Type: Article

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