An approach based on association rules mining to improve road safety in Morocco

Abstract

Traffic accident has a great impact on the socio-economic development of a society. this work employed large scale data mining method especially association rules and multi criteria analysis approach to discover new knowledge from historical data about traffic accidents in one of morocco busiest roads in order to assist police decision makers in the formulation of new policies and traffic rules on our highways management. The study focused on resulting from an accident using real data obtained from the Ministry of Equipment and Transport of morocco, Empirical results show that the developed models could provide new informations that can assist the authority to improve road safety.