Smart traffic controller using fuzzy inference system(STCFIS)

The heavy traffic congestion problem in major cities and towns is mainly attributed to the time spend across crowded traffic junctions especially during peak hours. The traffic across junctions is controlled by signaling patterns, where the signal duration is invariably static in nature. The traffic density across either sides of the road does not affect the duration of signal. For reducing the time taken in waiting across traffic junction, the proposed work aims at simulating a dynamic traffic signal using fuzzy logic which would change the timing of the green signal with respect to the intensity of traffic and feed this to an arduino microcontroller based fuzzy inference system which decides the duration of the green signal. The intensity of traffic is computed using two methods, feature detection and image subtraction methods. The feature detection method takes lot of processing time and image subtraction method along with fuzzy logic was found more suitable in dynamically controlling the duration of traffic signals.