목 차
Ⅰ. 연구의 개요 ·················································································································· 1
제1절 연구의 배경 및 목적 ······························································································· 1
제2절 주요 연구내용 ······································································································· 2
Ⅱ. 국내외 사고취약구간 선정 방법론 검토 ············································································· 3
제1절 국내 사고 많은 곳 선정 기준 ··················································································· 3
제2절 Safety Performance Function ··············································································· 5
제3절 Empirical Bayes 법 ······························································································· 9
제4절 Continuous Risk Profile 법 ·················································································· 14
제5절 Geographically Weighted Regression 법 ····························································· 18
제6절 Kernel Density Estimation 법 ·············································································· 22
Ⅲ. 고속도로 사고취약구간 선정 방법론 적용 사례 ································································· 31
제1절 사례 연구 개요 ····································································································· 31
제2절 대상 구간 데이터 구축 ·························································································· 31
제3절 GWR 법과 KDE 법을 이용한 사고 취약구간 선정 ··················································· 34
1. GWR 법의 적용 ··································································································· 34
2. KDE 법의 적용 ···································································································· 36
3. GWR과 KDE의 비교 ···························································································· 38
Ⅳ. 결론 ··························································································································· 41
참고문헌 ·························································································································· 43
