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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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    An intelligent road traffic management system

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    13101060 & 13101042_CSE.pdf (880.6Kb)
    Date
    2016
    Publisher
    BRAC University
    Author
    Alam, Tahmid Tanzi
    Chowdhury, Ahmad Naquib
    Metadata
    Show full item record
    URI
    http://hdl.handle.net/10361/6419
    Abstract
    Road traffic congestion remains a global phenomenon that causes great problems in the cities of the world; especially developing countries, resulting in massive delay, unpredicted travel times, increased fuel consumption, man-hour and monetary loss. The issue has arisen from poorly planned road network and traffic management, resulting in unbearable traffic jams. It is prevalent greatly during weekends, public holidays and periods of major activities. Major causes of the congestion include lane indiscipline, high traffic density, low road network carrying capacity, poor traffic management and support infrastructure such as lay-bye, and low response to removal of broken down and crashed vehicles. This paper gives an intelligent solution for tackling the issue of traffic congestion using parallel algorithm with real time data feeding by re-routing.
    Keywords
    Intelligent road traffic; Traffic management system; Real time scheduling; Google traffic; GPU architecture
     
    Description
    This thesis report is submitted in partial fulfillment of the requirements for the degree of Bachelor of Science in Computer Science and Engineering, 2016.
     
    Cataloged from PDF version of thesis report.
     
    Includes bibliographical references (page 51-54).
    Department
    Department of Computer Science and Engineering, BRAC University
    Type
    Thesis
    Collections
    • Thesis & Report, BSc (Computer Science and Engineering)

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