The objectives of the study are to develop a mathematical model and understand the impact of selected crash parameters on crash frequency in high and low traffic volume in both straight sections and junctions. Comparing the effect of straight sections and junctions with selected crash parameters on crash frequency is also addressed. The method used in this research is loglinear analysis using SPSS software. Seven days’ traffic data was collected from major junctions and straight sections in Bahirdar. The result depicted that in high traffic volume straight sections, Monday has the highest number of crash compared to the base case, Sunday. In low traffic volume junctions, Wednesday has the highest number of crash compared to Saturday. In high-traffic-volume straight sections, the 18-29-year-old age group has a 3.5 times higher number of crash compared to the base case (45 years). 30-44-year-old drivers also have a 2.1 times higher number of crash compared to 45-year-old drivers. In low-traffic-volume straight sections, both 18-29- and 30-44-year-old drivers have increased the number of crash. In low traffic volume junctions, both 18-29- and 30-44-year-old drivers have increased highly, with 47.9 and 38.1 times the base case (45 years). In low-traffic-volume straight sections, a high number of crash is observed in 5 years of driving experience compared to the base case (15 years). In low traffic volume junctions, 5 years of driving experience also has a high number of crash compared to the base case.
Gashaw et al. (Thu,) studied this question.