The goal of this study is to investigate traffic accidents causes and to develop statistical predictive
models for traffic accidents on the agriculture highways in Egypt; Kafr-el-sheikh Governorate as a
case study. Accidents models help decision makers to develop the road network to be safer and
minimize the accidents rate. Models were calibrated using accidents records data collected from 5
agriculture highways. These highways were divided in two different types of roads sections,
namely; agriculture roads with undivided section and agriculture roads with divided section.
Simple and multiple regression analysis have been used to find the effect of each parameter on the
accidents rate. The results indicated that both the pavement width for one direction and the running
speed have highest effects on traffic accidents rate