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Adaptive Traffic Light Using Image Processing and Fuzzy Logic

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Document pages: 6 pages

Abstract: As we know the problem of the traffic congestion has increased in many cities round the world, and thus became an urgent need for the introduction of advanced technology and equipment to improve traffic. Where the traffic is growing at the present time because of the increasing number of vehicles and the limited resources provided by the existing infrastructure. The simplest way to control the traffic light is fixed time or timer for each phase. Another way is adaptive traffic control is using electronic sensors to detect vehicles and send it to microcontroller to produce cycle. The recent way is using digital camera to detect vehicles by implementing image processing. In this study, we propose a system to control the traffic light by merging image processing technique and fuzzy logic. By utilizing the benefits of region of interest segmentation technique to determine reliable traffic load situation and send it to the microcontroller to produce cycle.

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