Traffic light control using fuzzy logic / Firdawati Mohamed … [et al.]

The number of cars at a traffic light keep increasing especially during peak hours and this situation can cause traffic congestion. In order to overcome this problem, Fuzzy Logic Controller System is used in this study to reduce total waiting time of vehicles at the traffic light by extending the green light phase. By this, traffic congestion can be reduced. In the study, we consider the number of cars at queue side and arrival side as our input and the extension time of green light as output. The extension time of green light is obtained by using MATLAB (Fuzzy Logic Mamdani Toolbox). Simulation results shown the time (in seconds) of green light that should be extend from the original time, vary according to the number of cars available at the traffic light. Methods of Centroid, Bisection and Smallest of Maximum discussed to compare the extension time of green light phase. The graphs in MATLAB Toolbox, shown that the extension times using Centroid and Bisector method has a better performance compared to Smallest of Maximum (SOM) method. However, Centroid method was chosen since it is the famous method and quite natural from the point of view of common sense.