Fuzzy Urban Traffic Signal Control - an Overview

In the last years, there have been many attempts made to improve urban traffic signal control systems as this is one of the most cost-effective ways to improve the traffic flow through a network of intersections. Besides the traditional methods for traffic signal control that are usually based on a traffic flow model, the development of new systems started to consider the various emerging technologies including artificial intelligence. Application of metaheuristic methods has proven to be worth of being researched. One of them is particularly fuzzy logic when combined with methods for system optimization. It offers a greater degree of flexibility, adaptability and above all the possibility of handling uncertain information and dealing with conflicting situations. We made an overview of the research that has been done so far in this area.