A holistic framework for embedded safe and connected automation in vehicles

It is of utmost importance to design and develop Intelligent Transport Systems (ITS) that can be efficient, reliable and cost effective. A valid manner to realize this is to attribute vehicles with embedded intelligence functionalities, so as to provide novel traffic, safety and emergency management solutions. This paper presents such a framework, which operates on the basis of collecting information from various sources through vehicular sensor networks, intelligently processing it, integrating knowledge and experience coming from the past and, finally, issuing directives to the driver for globally protecting the vehicle and proactively alerting the driver for forthcoming emergencies. The overall approach is presented in detail, whereas a novel heuristic is proposed for the algorithmic process towards reaching decisions. Indicative simulation results showcase its efficiency.