Population from developing country are exposed to high risk of injuries and death from road crashes owing to heterogeneous traffic conditions. The aim of this research includes identifying the factors responsible for the accidents. Data includes six years road accident data, highway geometric characteristics and traffic information like classified traffic volume and speed from a two lane undivided road of India in Maharashtra State near Nagpur City. Stochastic modelling techniques were used so that discrete events that are sporadic in nature can be captured. Some of the variables including lateral sway of vehicles have been identified as important factors contributing to road accident data. Knowing that the lateral sway are very common in everyday traffic, the findings from this study may help prioritize the countermeasures.
