A Road Accident Prediction Model Using Data Mining Techniques

The dangers and risks of the unpleasant phenomenon of road accidents, has been a major worrying issue throughout the whole the world that needs to be resolved quickly. The issue of traffic accident faq ' s has been of much focus of the society, secondary and road operators and organizations are likely to have on both social and economic aspects of the disaster. The most recent figures of the general record affecting accidents in Saudi Arabia showed that, in 2017, there were more than 32, 000 deaths due to road accidents. This is despite the fact that traffic rules and fined are heavily regulated and at relatively high levels. Often the ability of traditional methods used to predict and prevent accidents is not sufficient. Many of these methods lack the accuracy needed to produce a reliable model. The purpose of this research project is to create an advanced road accident to increase safety and to decrease the death rate. For this purpose, various data mining techniques have been used to develop road accident models. This project will also use various data mining techniques such as Decision Trees, Neural Networks and Ensemble methods to find solutions for this issue. Data from different sources will be collected in order to create a dependable model.