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IoT based intelligent traffic management system

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dc.contributor.author UWIMANA, Josephine
dc.date.accessioned 2022-06-02T12:40:19Z
dc.date.available 2022-06-02T12:40:19Z
dc.date.issued 2022-01-07
dc.identifier.uri http://hdl.handle.net/123456789/1590
dc.description Master's Dissertation en_US
dc.description.abstract Nowadays, there has been a large growth in population, which causes the number of private and public cars also to increase. As a result, traffic congestion, road accidents, increased pollution levels and traffic violations are some of the prevalent characteristics seen in modern cities. This trend is likely to continue in the future. To better estimate the extent of the problem now and in the near future, a projection model was developed to predict the number of vehicles in the next ten years based on data from the last 20 years. The projected number of 576793 vehicles in 2030 suggests that more traffic congestion is to be expected if no appropriate measures are taken. It is in that respect that the present project is developed. This project proposes an IoT based intelligent traffic management solution for decreasing the effects of traffic congestion. The system to be designed would control traffic signals based on the density of traffic on each side of the intersection, and also it is a road traffic jam control system to examine road priorities of three directions using the latest technology of sensors and microcontrollers. en_US
dc.language.iso en en_US
dc.publisher College of science and technology en_US
dc.subject Traffic management system,Traffic density ultrasonic sensors, Traffic Jam in Kigali City en_US
dc.title IoT based intelligent traffic management system en_US
dc.type Dissertation en_US


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