Fuzzy Logic-based Adaptive Traffic Light Control of an Intersection: A Case Study

Abstract

The increasing population in the world causes heavy traffic conditions, especially in metropolises. The traffic problem is the main challenge for the city. Considering the reasons for the traffic density in Turkey, the traffic lights schedule is shown in the first among when comparing with other parameters. Determining the green light durations according to the vehicle density will reduce the average waiting times of vehicles at intersections. This study performed different traffic scenarios based on VANET on SUMO for adaptive and non-adaptive intersections. The gathered traffic information data from vehicles are given to the developed fuzzy logic model to optimize green light durations. A Period of a scenario for analyzing took 10 minutes, and according to 10 minutes input, the fuzzy model optimizes the green light durations for the following period. Test results show that using a fuzzy model in traffic light optimization decreases the average waiting time of vehicles and average queue length.