Smart Cooperative Control of an Intersection Group Based on Fuzzy Logic

The aim of this work is the proposal of new approaches based on fuzzy logic techniques to control traffic lights. For this purpose, the first step is the modeling which is performed using Matlab. Test results have validated the proposed architectures. Research was carried out on a network covering a group of intersections and a distributed algorithm was proposed, allowing cooperation and constant adaptation of the green time to traffic conditions using an intelligent technique based on fuzzy logic. Simulations show that the algorithm applied at several intersections considerably improves the average waiting time of vehicles by adapting better to traffic variations, compared to conventional methods and with other work.