An Intelligent V2I-Based Traffic Management System

Vicente Milanés (1) , Jorge Villagra (1) , Jorge Godoy (1) , Javier Simó (2) , Joshué Pérez Rastelli (1, 3) , Enrique Onieva (1)

1 CAR - Centre for Automation and Robotics
2 Department of Signal Theory and Communications
3 IMARA - Informatique, Mathématiques et Automatique pour la Route Automatisée

Vehicles equipped with intelligent systems designed to prevent accidents, such as collision warning systems (CWSs) or lane-keeping assistance (LKA), are now on the market. The next step in reducing road accidents is to coordinate such vehicles in advance not only to avoid collisions but to improve traffic flow as well. To this end, vehicle-to-infrastructure (V2I) communications are essential to properly manage traffic situations. This paper describes the AUTOPIA approach toward an intelligent traffic management system based on V2I communications. A fuzzy-based control algorithm that takes into account each vehicle's safe and comfortable distance and speed adjustment for collision avoidance and better traffic flow has been developed. The proposed solution was validated by an IEEE-802.11p-based communications study. The entire system showed good performance in testing in real- world scenarios, first by computer simulation and then with real vehicles.

Domaines: Intelligence artificielle [cs.AI]

Vicente Milanés, Jorge Villagra, Jorge Godoy, Javier Simó, Joshué Pérez Rastelli, et al.. An Intelligent V2I-Based Traffic Management System. IEEE Transactions on Intelligent Transportation Systems, 2012, 13 (1), pp.49-58. ⟨hal-00732884⟩