Abstract
In China, although road traffic safety has improved in recent years, the number of deaths caused by traffic accidents is still at a high level every year. Accidents due to drivers’ dangerous driving behavior account for a large proportion. This study designed and implemented a highway naturalistic driving experiment. The driving performance data and the observer record data obtained in the experiment were used to extract four dangerous driving behaviors: rapid acceleration, rapid deceleration, sudden steering and drowsy driving. The correlation between the three kinds of urgent behaviors and driving fatigue was analyzed qualitatively and quantitatively. Finally, the correlation model between the frequency of urgent behaviors and drowsy driving was built using Naive Bayes. The feasibility of using this method to identify drowsy driving behavior was discussed.
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