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International Journal of Information Technology & Computer Science ( IJITCS )

Abstract :

The increased traffic in cities has always posed a serious problem in many developing regions, resulting to the need of a smart system that could efficiently handle traffic congestion based on the density of traffic. One such attempt is explained in this paper which will provide a means of handling gridlocks. Samples are taken at regular intervals from a live video feed that are mounted on signal posts. The obtained samples are converted into gray scale and are edge detected using Canny Edge Detection which is then compared with a reference image. The reference image is primarily a sample of the empty road which is also edge detected using Canny Algorithm. Both these samples are deducted, the resulting output consists of pixels that will be proportional to the density of the traffic. The pixel count is passed to a fuzzy controller that will determine the time period to be allocated for the congested road. A round robin technique is used to ensure that all roads are serviced. By the use of this method, it thus becomes possible to cut down the traffic delays and fuel wastages. The method can be used to ease traffic in unplanned road networks, eventually resulting into several bottleneck roads .

Keywords :

: Fuzzy , Round robin ,Canny detection, Gridlock.

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