Poisson Regression Model of Frequency and Severity of Road Accidents in Rural Roads

One of the important ways of identifying road accident potentialities is road safety audits. After identifying these points, appropriate strategies to reduce the number and severity of accidents can be considered for them. In this study, using road safety audits, access, pavements, signs, roadside, and geometric problems and accidents leading to the deaths of outlying urban road sections were identified and using these data, the model of crashes in them Was presented. In this paper, the Hamadan-Kermanshah axis was chosen as a case study. In this axis, Poisson's regression model was more reliable and the problems of drainage ditches and vertical alignment were the most important reasons for the accident and resulted in death.