Show simple item record

dc.contributor.authorNamulyowa, Berna
dc.date.accessioned2021-04-28T14:18:41Z
dc.date.available2021-04-28T14:18:41Z
dc.date.issued2020-12-10
dc.identifier.citationNamulyowa, B. (2020). Design of a machine learning based traffic control system. (Unpublished undergraduate dissertation). Makerere University, Kampala, Uganda.en_US
dc.identifier.urihttp://hdl.handle.net/20.500.12281/10445
dc.descriptionA research report submitted in partial fulfillment of the requirements for the award of the degree of Bachelor of Science in Computer Engineeringen_US
dc.description.abstractThis report investigates the problem of traffic jam at one of the junctions in Kampala Uganda which is Wandegeya junction. At Wandegeya junction, the existing traffic light control causes long delay, air pollution, energy waste, accident and many more complications. The Government of Uganda through Kampala Capital City Authority (KCCA) has tried to solve this problem using different technologies like radar but all those solutions did not help. In this project, we studied the traffic signal’s duration based on the data we collected manually by counting cars and data we got from KCCA. We developed a machine learning-based model to control the traffic light(agent). In the model, Q-learning algorithm was used which is a free reinforcement algorithm to learn the actions of the agent and powers neural network to predict better actions to take. The model was evaluated via a simulator that is Simulation of Urban Mobility (SUMO) in a vehicular network, and the simulation results show the efficiency of our model in controlling traffic lights.en_US
dc.language.isoenen_US
dc.subjectArtificial Intelligenceen_US
dc.subjectDeep Learningen_US
dc.subjectNeutral networksen_US
dc.subjectMachine learning-baseden_US
dc.subjectTraffic control systemen_US
dc.titleDesign of a Machine Learning Based Traffic Control Systemen_US
dc.typeThesisen_US


Files in this item

Thumbnail

This item appears in the following Collection(s)

Show simple item record