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    •   BracU IR
    • School of Engineering and Computer Science (SECS)
    • Department of Computer Science and Engineering (CSE)
    • Thesis & Report, BSc (Computer Science and Engineering)
    • View Item
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    An optimal route selection with reinforcement learning for the waste management in Dhaka city

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    17141040_CSE.pdf (561.5Kb)
    Date
    2017-08
    Publisher
    BRAC Univeristy
    Author
    Rahman, Musfiqur
    Metadata
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    URI
    http://hdl.handle.net/10361/9073
    Abstract
    In the capital city of Dhaka, currently, one of the biggest problems is its waste management. Because of over-population, the amount of waste produced every day is so high that it can not be handled properly with the infrastructural aid available now. Transporting the wastes faces a lot of obstacles because of the road and the traffic conditions. As a result, the whole operation is delayed. Furthermore, maintaining a hygienic situation becomes an impossible task. In this work, a modified system will be proposed for dumping wastes in different parts of the city. By using two reinforcement learning techniques (Q-learning, SARSA) imposed in this model, the system will be allowed to find the optimal route for the waste-carrying vehicle so that a faster transportation is ensured so that a suitable state of the environment can be sustained.
    Keywords
    Waste management; Dhaka North City Corporation; Dhaka South City Corporation; Water supply
     
    Description
    This thesis report is submitted in partial fulfilment of the requirements for the degree of Bachelor of Science in Computer Science and Engineering, 2017.
     
    Cataloged from PDF version of thesis report.
     
    Includes bibliographical references (pages 35-36).
    Department
    Department of Computer Science and Engineering, BRAC University
    Collections
    • Thesis & Report, BSc (Computer Science and Engineering)

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