A Development of Models for Analyzing Traffic Accident Injury Severity for Signalized Intersections

신호교차로 안전성 향상을 위한 사고심각도 모형개발

  • Ha, Oh-Keun (Department of SOC & Transportation Graduate School of Urban Studies, Hanyang University) ;
  • Hu, Ec (Citizens' Coalition for Safety, Hanyang University) ;
  • Won, Jai-Mu (Citizens' Coalition for Safety, Hanyang University)
  • 하오근 (한양대학교 도시대학원) ;
  • 허억 (안전생활실천연합) ;
  • 원제무 (안전생활실천연합)
  • Published : 2008.04.30


As the interest in traffic safety has been increasing recently, social movement is being made to reduce the number of traffic accidents and the view on improving the mobility of the existing roads is being converted into on establishing traffic safety as a priority. The increase of traffic accidents related to an intersection in a state that traffic accidents are decreasing overall may suggests the necessity to investigate the specific causes. In addition, we have to consider them when establishing the measures against traffic accidents in a intersection by investigating and analyzing the influences and factors that may affect traffic accidents. To induce the accident severity model, we collected the factors that affect accidents and then applied the Poisson Regression Model among nonlinear regression analysis by verifying the distribution of variables. As a result of the analysis, it turned out that the volume of traffic on main roads, the right turn ratio on sub-roads, the number of ways out on sub-roads, the number of exclusive roads for a left turn, the signals for a right turn on main roads, and an intersect angle were the factors that affect the accident severity.


accident distribution test;poisson regression models;accident injury severity


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