Traffic control framework: Figure 1

Traffic control framework: Figure 1 shows schematic diagram of proposed scheme in which error detector gives the counts of average pixel to pixel matching of reference mosaicked image and current mosaicked image. Here,multiple vision sensors have been used instead of conventional sensors like IR, ultraviolet sensor, inductive loop sensors that were used in conventional controllers.In addition, fuzzy controller have been used for better decision making to vaiy the timings of green/red lights as per density measured on road on the basis of layer structure of extension learning system manipulated by output of error detector. In feedback loop, vision sensors has been used for capture the images of traffic. The use of multiple vision sensors are only so that,辻 can measure the exact gap between vehicles to accurate measurement of traffic density. After capturing the images, the image passes though number of steps like saves tlie images,grey conversion, transformation, wrapping, compositing and finally, mosaicked image formed.