Technical report: traffic light control using Fuzzy Logic / Nurbaity Abdul Rafar, Nur Syafiqah Edora Ariffin and Nur Syazzura Hanim Mohd Hanafi

The number of cars at traffic light keep increasing especially during peak hours. Peak hours usually happen when most of employee going and coming back from work. This can cause traffic congestion. Therefore, Fuzzy Logic Controller System is used in this study in order to reduce total waiting time of vehicles at the traffic light by extending the green light phase. When the green light phase become longer, many cars will be able to exit the traffic light successfully. As a result, traffic congestion can be reduced. In this project, we consider the quantity 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 show 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. In this project, three methods were chose to compare the extension time of green light phase at Jalan Kota Bharu-Kuala Krai. From the graph in MATLAB Toolbox, it shows that Centroid and Bisector method has a better performance compared to Smallest of Maximum (SOM) method. However, Centroid method were chose since it is the famous method and quite natural from the point of view of common sense.