[HTML][HTML] Hierarchical dynamic modeling for highway network real-time risk forecasting with digitalized vehicle data
D Park, N Park, S Lee, J Park, D Kim - International Journal of …, 2024 - Elsevier
In traffic safety management, identifying high-risk areas prone to traffic crashes is crucial.
Road authorities focus on these high-risk segments to implement strategies that mitigate the …
Road authorities focus on these high-risk segments to implement strategies that mitigate the …
Assessment of crash prediction models for intersections with severity weight parameters using data science approaches
In this study, crash prediction models for urban intersections were developed using an index
as dependent variables reflecting the crash severity weight from data mining technique. In …
as dependent variables reflecting the crash severity weight from data mining technique. In …
[PDF][PDF] 데이터마이닝기반의사고심각도가중치적용예측변수를활용한교차로사고예측모형개발
손승오， 박준영 - Journal of Korean Society of Transportation, 2022 - static4.apub.kr
초록본 연구에서는 데이터마이닝 기법을 통해 도출한 사고심각도 가중치를 적용한 환산
사고건수를 종속변수로 하는 도심부 교차로 사고예측모형을 개발하였다. 일반적으로 …
사고건수를 종속변수로 하는 도심부 교차로 사고예측모형을 개발하였다. 일반적으로 …