Intelligent V2I-Based Traffic Management System
Vehicles equipped with intelligent systems capable of preventing accidents as collision warning system (CWS) or lanekeeping assistance (LKA) are presently in the market. Next step in the reduction of road accidents is based on the coordination of these vehicles in advance for not only avoiding collisions but also improving the traffic flow. To this end, vehicle-to-infrastructure (V2I) communications are mandatory to manage properly traffic situations. This paper presents AUTOPIA approach toward an intelligent traffic management system based on V2I communications. A fuzzy-based control algorithm that take into account a safe and comfortable distance and speed adjustment of each vehicles in order to prevent collisions has been developed. A communication study based on IEEE 802.11p to validate the proposed solution is presented. The whole system has been tested in real scenarios both in simulation and with real vehicles with a good performance.