A Generic and Real – Time Collision Warning and Avoidance Framework in a Ubiquitous Intersection Environment

The number of intersection accidents around the world has reached a plateau and has not decreased in spite of the innovation and improvement in road and vehicle safety technologies. Therefore, intersection collision warning and avoidance systems that are able to warn potential drivers of an impending collision are required. The existing systems have not utilized recent innovations in vehicular communication and sensor technology. Moreover, those systems are mainly configured only for certain intersection types. There is a need for an intersection collision warning and avoidance system that is able to predict and warn about collisions in real-time and adapt to different types of intersections. By utilizing the ubiquity of sensors and computing devices in road infrastructures and vehicles, learning from sensory data can be done and results of such learning can increase the awareness of road users of possible threats at the intersection. Therefore, the primary aim of this research is to propose a generic and real-time framework for collision warning and avoidance in intersections.