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    •   BracU IR
    • School of Data and Sciences (SDS)
    • Department of Computer Science and Engineering (CSE)
    • Thesis & Report, BSc (Computer Science and Engineering)
    • View Item
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    Real time traffic density measurement using computer vision and dynamic traffic control

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    14101221,14101182_CSE.pdf (1.530Mb)
    Date
    2018-04
    Publisher
    BRAC University
    Author
    Chowdhury, Md. Fahim
    Biplob, Md Ryad Ahmed
    Metadata
    Show full item record
    URI
    http://hdl.handle.net/10361/10164
    Abstract
    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.
    Keywords
    Traffic density; Traffic control; Computer; Real time traffic
     
    Description
    This thesis is submitted in partial fulfilment of the requirements for the degree of Bachelor of Science in Computer Science and Engineering, 2018.
     
    Cataloged from PDF version of thesis.
     
    Includes bibliographical references (pages 17-18).
    Department
    Department of Computer Science and Engineering, BRAC University
    Collections
    • Thesis & Report, BSc (Computer Science and Engineering)

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