A Two Stage Fuzzy Logic Adaptive Traffic Signal Control for an Isolated Intersection Based on Real Data Using Sumo Simulator

Abstract

In this paper, a two-stage fuzzy logic system has been proposed to control an isolated intersection adaptively. The aim of this work is to minimize the average waiting time for a different traffic flow rates in real time means. In the first stage, the system consists of two modules named next phase selection module and the green phase extension module. In the second stage the system consists of the decision named module. The study was performed using SUMO traffic simulator. A comparison is made between a fuzzy logic controller and a conventional fixedtime controller. As a result, fuzzy logic controller has shown better performance.