Simulation of automated traffic light system for cross junctions of six-lane roads using Fuzzy logic

Abstract

The number of vehicles today has increased dramatically, which causes traffic jams, accidents and other important problems such as increased fuel consumption, vehicle emissions and noises. The proposed system monitors the factors of traffic in a particular junction and makes decisions according to the current situation using Fuzzy logic. Here, priority values are calculated using a Mamdani type fuzzy module using linguistic variables such as zero, small, Medium, large and very large. The Next State Module (NSM), Extending Current State Module (ECSM) and the Decision-Making Module (DMM) are proposed in this design of the fuzzy traffic lights controller. NSM reads the input queue, output queue, and waiting time in order to provide the most suitable values for the next state of traffic lights configuration and the priority level to DMM. The ECSM reads input and output queues and provides the value of priority level for the extension of the current state to the next time lap to DMM. Finally, the DMM decides the most priority from the outputs of NSM and ECSM. This simulation of automated traffic light system was designed by MATLAB fuzzy toolbox for six-lanes roads in a cross junction. Here six different states are considered to enable green lights for straight through and right turn lanes while keeping all left turn lanes in green signal. This model chooses the best time lap to open the lanes which is effective than other methods.