Academic Editor: Youssef EL FOUTAYENI
Received |
Accepted |
Published |
29 January 2020 |
13 February 2020 |
10 March 2020 |
Abstract: The main purpose of intelligent transport systems is to ensure efficiency and fluidity in roads, in particular at junctions and intersections, where traffic jams occur very often. This paper presents a brief state of the art concerning the intelligent methods used to manage traffic lights in isolated intersections. A comparative study has been developed to see the effectiveness of the methods used to reduce the waiting time of drivers. In addition, a new architecture based on fuzzy logic has been proposed to improve the performances treated in[1][2][3][4] . One direction for future research on the multi-controller system here addressed is to augment the approach proposed in this work with a neural network or genetic algorithm that will be able to predict the traffic conditions at any moment of the day. This combination would allow the fuzzy controller to make its decision taking into account not only the current traffic situation as detected by previous works, but also the probable short-term evolution of the traffic conditions.
