Real time traffic density measurement using computer vision and dynamic traffic control
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In recent times, traffic jam has become a common problem in the major cities all over the world. Our capital city Dhaka is no exception. Numbers of people are being victim of traffic jam each day. The main causes of such situation are more cars on the street, poor traffic management and lack of proper infrastructure. In this paper, we propose a dynamic traffic control system by measuring the traffic density at the intersections by real time video feeds and image processing. We used MOG algorithm for background subtraction method and for foreground detection to keep the count of the cars in each lane. The traffic lights at the intersections will change dynamically according to the conditions of traffic that will be detected from the video feeds.
DescriptionThis thesis is submitted in partial fulfilment of the requirements for the degree of Bachelor of Science in Computer Science and Engineering, 2018.
DepartmentDepartment of Computer Science and Engineering, BRAC University
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