Predicting and Presenting the Model of Intra-Urban Accidents Victims

Today, traffic safety is one of the main priorities for governments. By this importance, the need to provide solutions and models by the relevant institutions is increased to reduce these problems. This study has tried, by considering those who are at risk of accidents in the city, to predict the occurrence of this condition and also to present a model by data mining algorithms. The results of the data analysis will help organizations such as intra-urban traffic control and traffic department make important decisions and promote public information media of general trainings by accidents’ data mining.