Embedded system and fuzzy logic control of traffic signaling at consecutive intersections

In this study, the control of traffic signaling with embedded system and fuzzy logic was performed. Red light durations are optimized by recording the data at the traffic intensive intersections as traffic density data according to the days of the week and hours of the day. For the hours when the intensities are variable, the number of vehicles and waiting times are recorded in all branches of the intersections. Inspired by these data, a model for the intersection was created in the computer environment by creating the approximate number of vehicles entries. The fuzzy model used in simulation is the Mamdani method. The method used in defuzzification is the centroid, that is, the center of gravity. Achieved results and tables are given. Intersections to be used within the scope of the thesis will be interchanges that will come one after another. As a result of the comparisons between the method used in this study and the other methods, it was concluded that the fuel saving are higher, the amount of CO₂ prevented from being released is higher and the traffic flow is faster. It has been shown that an average of 455 844.78 liters of fuel can be saved per year for two consecutively selected intersections in total, and 46 826 trees per year can be saved, together with the prevention of 1 030.2 tons of CO₂ emissions.