자동차안전학회지 (Journal of Auto-vehicle Safety Association)

한국자동차안전학회 (Korean Auto-vehicle Safety Association)
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K-평균 군집모형 및 순서형 로짓모형을 이용한 버스 사고 심각도 유형 분석 측면부 사고를 중심으로

Analysis of Bus Accident Severity Using K-Means Clustering Model and Ordered Logit Model

  • 이인식 (아주대학교 교통시스템공학과) ;
  • 이현미 (아주대학교 교통시스템공학과) ;
  • 장정아 (아주대학교 TOD 기반 지속가능 도시교통, 연구센터) ;
  • 이용주 (아주대학교 TOD 기반 지속가능 도시교통, 연구센터)
  • 투고 : 2021.07.23
  • 심사 : 2021.09.13
  • 발행 : 2021.09.30
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초록

Although accident data from the National Police Agency and insurance companies do not know the vehicle safety, the damage level information can be obtained from the data managed by the bus credit association or the bus company itself. So the accident severity was analyzed based on the side impact accidents using accident repair cost. K-means clustering analysis separated the cost of accident repair into 'minor', 'moderate', 'severe', and 'very severe'. In addition, the side impact accident severity was analyzed by using an ordered logit model. As a result, it is appeared that the longer the repair period, the greater the impact on the severity of the side impact accident. Also, it is appeared that the higher the number of collision points, the greater the impact on the severity of the side impact accident. In addition, oblique collisions of the angle of impact were derived to affect the severity of the accident less than right angle collisions. Finally, the absence of opponent vehicle and large commercial vehicles involved accidents were shown to have less impact on the side impact accident severity than passenger cars.

키워드

과제정보

본 연구는 국토교통부 수소버스 안전성 평가기술 및 장비개발 사업의 연구비 지원(과제번호 21HBST-B158067-02)에 의해 수행되었습니다.

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