계층적 군집분석 기반의 Continuous Risk Profile을 이용한
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서지정보
ㆍ발행기관 : 대한교통학회
ㆍ수록지정보 : 대한교통학회지 / 31권 / 4호
ㆍ저자명 : 이서영, 김철순, 김동규, 이청원
ㆍ저자명 : 이서영, 김철순, 김동규, 이청원
목차
Ⅰ. 서론Ⅱ. 사고취약구간 선정 방법론 및 기존문헌 고찰
Ⅲ. Continuous Risk Profile 구축
Ⅳ. 결과 분석
Ⅴ. 결론 및 향후 연구과제
한국어 초록
The Continuous Risk Profile (CRP) has been well known to be the most accurate and efficient among existingnetwork screening methods. However, the classical CRP uses safety performance functions (SPFs) which require a
huge investment to construct a database system. This study aims to suggest a new CRP method using average
crash frequencies of homogeneous groups, instead of SPFs, as rescaling factors. Hierarchical clustering analysis is
performed to classify freeway segments into homogeneous groups based on the data of AADT and number of
lanes. Using the data from I-880 in California, the proposed method is compared to other several network
screening methods. The results show that the proposed method decrease false positive rates while it does not
produce any false negatives. The method developed in this study can be easily applied to screen freeway networks
without any additional complex database systems, and contribute to the improvement of freeway safety
management systems.