Abstract

The purpose of this paper is to use data mining techniques to search for additional factors have an impact in reducing traffic accidents, despite the regulation and control of highways and Cars safety standards and previous studies in this area, but did not drop of traffic accidents, where the present study addressed the group by using data mining to help reduce traffic accidents and research objectives that prospecting database leads to grab and extract useful data patterns, and modern technology has become Task under rapid development and widespread use of databases, prospecting techniques to many questions, and in record time particularly complex questions difficult to answer them using classical statistical techniques that take a long time and many actions. The study used to build future predictions and explore the behavior and trends through data mining, which allow estimating the right decisions and taking timely and scientific solutions through a form to reduce traffic accidents increased community awareness of the factors that lead to traffic accidents. The importance of the study is to address modern technologies address multiple aspects not mentioned in previous studies relying on data traffic and define the community strategies for prevention of traffic accidents and the limitation of Al ghat province has been selected for hazardous geography in which the vital road link between Riyadh, central area, and Medina Manawra and the important roles the Department of traffic and General Hospital and civil defense in province. The study pointed out that there is no coordination between the concerned authorities to register traffic accident, also reported that the collision between two cars and a collision fixed object crashes accounted for the highest percentage of the quality of the accident (73.4%), most of the accidents were on the highway was (64.1%), the behavior of users the road is the most causes of accidents. The researchers have made some proposals to reduce from traffic accidents.