E.O Eze

This project examines road traffic accident problems in Benin City, Nigeria in an epidemiological approach. The project entails the source of data compiled in a questionnaire, hospital records, FRSC reports and press media data on accident reports. The identification of risk factors, data interpretation of accidents and their general preventive measures are discussed. Accident prediction models are used to predict future occurrences. The Haddon Matrix Analysis was used to model the Pre-crash, Crash and Post-crash phases of accidents. This is done to determine to what extent accident and casualty involvement are related, and so assist policy makers and relevant authorities to explore counter-measures in the allocation of scarce resources in reducing road traffic accidents. The generalized linear regression method (GzLM) was modelled using number of accident outcomes as the dependent variables while the time of the day (T), host (H) and speed (Sp) of the accidents were selected as the independent variables so as to obtain a model equation.