Using Data Mining Technique to Predict Cause of Accident and Accident Prone Locations on Highways

Abstract

Road accident is a special case of trau ma that constitutes a major cause of d isability, untimely death and loss of loved ones as well as family b read winners. Therefore, pred icting the likelihood of road accident on high ways with par- ticular emphasis on Lagos - Ibadan express road, Nigeria in order to prevent accident is very important. Various attempts had been made to identify the cause(s) of accidents on highways using different techniques and system and to reduce acci- dent on the roads but the rate of accident keep on increasing. In this study, the various techniques used to analyse the causes of accidents along this route and the effects of accidents were examined. A technique of using data mining tool to predict the likely occurrence of accident on highways, the likely cause of the accident and accident prone locations was proposed using Lagos -Ibadan highway as a case study. WEKA software was used to analyse accident data gathered along this road. The results showed that causes of accidents, specific time/condition that could trigger accident and accident prone areas could be effectively identified.