Bari, Mahabubul (PhD)Deme, Debela2018-07-192023-11-112018-07-192023-11-112016-10http://etd.aau.edu.et/handle/12345678/9385Road traffic accidents are one of the most common reasons of deaths and injuries in the world. Ethiopia is among the leading countries in road traffic accident in the world. Addis Ababa – Adama Expressway is one of the newly introduced modern toll routs with a traffic accident not studied before. Both qualitative and empirical research method is used to assess the traffic accident level of this road. Black spot analysis and model development are the two major techniques used to identify the cause of traffic accidents and identify the major determinants of accidents. The research used comprehensive data collected on the daily road traffic accidents of Addis Ababa – Adama Expressway, which is collected through the Ethiopian Toll Road Enterprise for the period of one and half years (2014/15 – 2016). The research asses and quantify traffic accident causes and propose counter measures on Addis Ababa-Adama Expressway. Black spot identification and traffic accident model development was the focus of this research. Black spot analysis was made using accident severity value. Multinomial probit regression model was used for assessing factors contributing for road accident. The findings of the study indicated that there are four black spot regions on the expressway. The study also identified that Day of the Week, Collision Types, Types of Vehicles and Plate Number Region are significant at p-value of 0.05. This shows that the stated factors have been contributing greatly for the occurrence of traffic accidents on the expressway. On the other hand, factors seem to have no significant effect on the determination of accident on the road. As a result, all roads users, policy makers and road traffic regulators are expected to consider those significant determinant factors so as to minimize the level of accident on expressway.enTransportation EngineeringThesis