• Login
    View Item 
    •   Mak UD Home
    • College of Engineering, Design, Art and Technology (CEDAT)
    • School of Engineering (SEng.)
    • School of Engineering (SEng.) Collections
    • View Item
    •   Mak UD Home
    • College of Engineering, Design, Art and Technology (CEDAT)
    • School of Engineering (SEng.)
    • School of Engineering (SEng.) Collections
    • View Item
    JavaScript is disabled for your browser. Some features of this site may not work without it.

    Design of a Machine Learning Based Traffic Control System

    Thumbnail
    View/Open
    Minimization of traffic at Wandegeya junction using machine learning dissertation. (2.631Mb)
    Date
    2021-03-15
    Author
    Murindanyi, Sudi
    Metadata
    Show full item record
    Abstract
    This report investigates the problem of traffic jam at one of the junctions in Kampala Uganda which is Wandegeya junction. At Wandegeya junction, existing traffic light control causes long delays, air pollution, energy waste, accidents, and many other problems. The government of Uganda through Kampala Capital City Authority (KCCA) has tried to solve this problem using different technologies like radar, but did not help much. The project studies the traffic signal's duration based on the data collected manually by counting cars and data from KCCA. The machine learning-based model was developed to control the traffic light(agent). Q-learning was used, it is a model-free reinforcement algorithm. Q-learning learned the actions of the agent and powers neural network to predict better actions to take. The model was evaluated via Simulation of Urban Mobility (SUMO) in a vehicular network, and the simulation results showed the efficiency of this model in controlling traffic lights.
    URI
    http://hdl.handle.net/20.500.12281/9586
    Collections
    • School of Engineering (SEng.) Collections

    DSpace 5.8 copyright © Makerere University 
    Contact Us | Send Feedback
    Theme by 
    Atmire NV
     

     

    Browse

    All of Mak UDCommunities & CollectionsTitlesAuthorsBy AdvisorBy Issue DateSubjectsBy TypeThis CollectionTitlesAuthorsBy AdvisorBy Issue DateSubjectsBy Type

    My Account

    LoginRegister

    Statistics

    Most Popular ItemsStatistics by CountryMost Popular Authors

    DSpace 5.8 copyright © Makerere University 
    Contact Us | Send Feedback
    Theme by 
    Atmire NV