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http://dx.doi.org/10.7470/jkst.2017.35.5.423

The Statistical Correlation Between Continuous Driving Time and Drowsy Accidents  

KIM, Ducknyung (Korea Expressway Corporation Research Institute)
KIM, Sujin (Department of Transportation Engineering, Myungji University)
CHOI, Jaeheon (Department of Transportation Engineering, Myungji University)
CHO, Jongseok (Korea Expressway Corporation Research Institute)
Publication Information
Journal of Korean Society of Transportation / v.35, no.5, 2017 , pp. 423-433 More about this Journal
Abstract
During recent 5 years, it was recorded that 20% of total accident frequency and 30% of total number of death have been occurred due to drowsy driving. Drowsy driving accident is result from the loss of driving ability due to driver's accumulated fatigue. Continuous driving time can be measured as a surrogate variable to quantify the level of fatigue. The main purpose of this research is to investigate statistical correlation between the proportion of continuous driving vehicle (more than 2 hours) and the number of drowsy accidents. To carry this out, continuous driving time was measured using GPS route-guidance trajectory data. Also, accident frequency, traffic volume and segment length were collected to estimate safety performance function (SPF) for Jungbunearuk expressway in Korea. Through various types of estimated SPFs, statistical correlation was analyzed based on estimated statistical indices. This research can provide theoretical background for enforcement to regulate commercial vehicle driver's continuous driving time. In addition, throughout the trajectory data expansion, it is expected that strategy for anti-drowsy driving facilities installation can be established based on the suggested methodology.
Keywords
continuous driving time; drowsy accident; GPS driving trajectory; over-dispersion; safety performance function;
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Times Cited By KSCI : 4  (Citation Analysis)
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