Analysis of road accident factors using Decision Tree Algorithm: a case of study Algeria

Abstract

Road accidents become a worldwide health issue. With the enormous number of death and injuries, this problem pushes governments to create solutions to reduce those statistics. One of the solving ways is using machine learning algorithms, and with the data collected from road accidents, we can increase traffic safety. In this research, we use a decision tree model to analyze road accidents that happened in Algeria. Then, we do a comparison with some similar works using accuracy as a performance evaluation metric. This work can help government and traffic safety entities to improve road safety and minimize the number of accidents, also, it can help other researchers to develop other models in the analysis of traffic accidents in Algeria and other countries.