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A Study on the Application of Accident Severity Prediction Model  

Won, Min-Su (한양대학교 교통시스템공학과)
Lee, Gyeo-Ra (한양대학교 교통시스템공학과)
O, Cheol (한양대학교 교통시스템공학과)
Gang, Gyeong-U (한양대학교 교통시스템공학과)
Publication Information
Journal of Korean Society of Transportation / v.27, no.4, 2009 , pp. 167-173 More about this Journal
Abstract
It is important to study on the traffic accident severity reduction because traffic accident is an issue that is directly related to human life. Therefore, this research developed countermeasure to reduce traffic accident severity considering various factors that affect the accident severity. This research developed the Accident Severity Prediction Model using the collected accident data from Seohaean Expressway in 2004~2006. Through this model, we can find the influence factors and methodology to reduce accident severity. The results show that speed limit violation, vehicle defects, vehicle to vehicle accident, vehicle to person accident, traffic volume, curve radius CV(Coefficient of variation) and vertical slope CV were selected to compose the accident severity model. These are certain causes of the severe accident. The accidents by these certain causes present specific sections of Seohaean Expressway. The results indicate that we can prevent severe accidents by providing selected traffic information and facilities to drivers at specific sections of the Expressway.
Keywords
Accident Severity; Accident Severity Prediction Model; Ordered Probit Model; Countermeasure; Selected Traffic Information;
Citations & Related Records
Times Cited By KSCI : 3  (Citation Analysis)
연도 인용수 순위
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