Driver crash risk factors and prevalence evaluation using naturalistic driving data.
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ABSTRACT:
SUBMITTER: Dingus TA
PROVIDER: S-EPMC4790996 | biostudies-literature | 2016 Mar
REPOSITORIES: biostudies-literature
Publications
Driver crash risk factors and prevalence evaluation using naturalistic driving data.
Dingus Thomas A TA Guo Feng F Lee Suzie S Antin Jonathan F JF Perez Miguel M Buchanan-King Mindy M Hankey Jonathan J
Proceedings of the National Academy of Sciences of the United States of America 20160222 10
The accurate evaluation of crash causal factors can provide fundamental information for effective transportation policy, vehicle design, and driver education. Naturalistic driving (ND) data collected with multiple onboard video cameras and sensors provide a unique opportunity to evaluate risk factors during the seconds leading up to a crash. This paper uses a National Academy of Sciences-sponsored ND dataset comprising 905 injurious and property damage crash events, the magnitude of which allows ...[more]
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