Adaptive Traffic Light Controller Simulation for Traffic Management

Traffic light regulation becomes important as the number of vehicles increases in densely populated areas. Adaptive traffic light allows traffic lights to adjust the flow of vehicles according to the density of the vehicle on each section. This paper proposed the use of agent-based modeling system to control traffic light and focus on modeling based on unity3D platform using fuzzy logic control. The test was carried out on three conditions, namely crowded, moderate, and smooth conditions. The system performance parameters are the average waiting time, the average of vehicles stopping, and the average speed of the vehicles. Simulation results show that adaptive traffic light can reduce waiting time, reduce the number of vehicles stopping at an intersection, and increase vehicles speed compared to fixed time traffic light.