RoadSafe: A Machine Learning Based-Road Accident Prevention System

Smart transportation is one of the main research areas making use of artificial intelligence in order to build more convenient and smart modern cities. Current direction and navigation applications have shown the successful utility of using machine learning for traffic forecasting and direction computing. More safety-related applications are also in research, such as accident detection and road anomaly detection. In this paper, accident detection and provision in smart transportation based on machine learning is presented. Five machine learning algorithms are trained and evaluated for predicting accident severity. An accident risk detection navigation application is embedded with a machine learning algorithm for providing better user navigation.