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    •   BracU IR
    • School of Engineering and Computer Science (SECS)
    • Department of Electrical and Electronic Engineering (EEE)
    • Thesis & Report, BSc (Electrical and Electronic Engineering)
    • View Item
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    Traffic condition awareness using kalman filter technique with the aid of arduino and matlab embedded system author

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    14321046,14221009,14221008,18321059_EEE.pdf (787.7Kb)
    Date
    2018-08
    Publisher
    BRAC University
    Author
    Azad, Dr. A.K.M Abdul Malek
    Department of Electrical and Electronic Engineering, BRAC University
    Metadata
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    URI
    http://hdl.handle.net/10361/11059
    Abstract
    Traffic congestion in the city of Dhaka is reaching a new pinnacle every day. Owing to numerous private cars and local buses, the gridlocks in Dhaka city can be termed as one of the worst in the world. In a recent study done by Bangladesh University of Engineering and Technology(BUET) and Accident Research Institute (ARI), it was stated that around 5 million working hours are being lost every year in Dhaka city due to traffic gridlocks. This results in a loss of worth Tk.37,000 crore. In order to resolve this issue and help manage the gargantuan problem, we decided to tackle this by the implementation of Kalman Filter in order to predict the level of congestion at a particular road according to time variance of the day. The reason for using Kalman Filter is because its accuracy. Other reasons being that it can be simulated using Matlab and can be constantly updated using the latest data.
    Keywords
    Traffic jam; Awareness; Kalman filter
     
    Description
    This thesis is submitted in partial fulfilment of the requirements for the degree of Bachelor of Science in Electrical and Electronic Engineering, 2018.
     
    Catalogued from PDF version of thesis.
     
    Includes bibliographical references( page 54-55).
    Department
    Department of Electrical and Electronic Engineering, BRAC University
    Collections
    • Thesis & Report, BSc (Electrical and Electronic Engineering)

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