Accident Prediction Model-Case Study Region of Tangier

Road accidents in Morocco cause more than 4,000 deaths each year and about 140 Million Dirhams (equivalent to about $14 million) of property damage. Many researchers have developed models to predict accidents and their causes, but it has not yet been possible to control this phenomenon, where the human factor plays a very important role. The dramatic increase of vehicle travel calls for an effective modeling of accidents prediction and their fatalities. In this paper, we propose an accident prediction model that relates accident frequency to various contributory factors, and is developed using linear regression techniques. In addition, this study investigates road traffic accident using descriptive statistics to compare the different modes of travel and other parameters. We will study particularly the region of Tangier who has known a great economic development in the last decade originating much traffic and displacements. 