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Title	Iot Based Smart Traffic Density Control Using Image Processing
ID_Doc	33721
Authors	Frank A.; Khamis Al Aamri Y.S.; Zayegh A.
Year	2019
Published	2019 4th MEC International Conference on Big Data and Smart City, ICBDSC 2019
DOI	http://dx.doi.org/10.1109/ICBDSC.2019.8645568
Abstract	With the rapid development of road infrastructure, the volume of vehicle on the road network increases which leads to traffic Congestion. The same scenario exists in the Sultanate of Oman. Traffic congestions are amongst the top list of the problems faced in Muscat and other cities in the Sultanate of Oman. This is mainly caused due to the rapid up rise in the number of vehicles in a short span of time. To overcome such impact of traffic congestions, it is required to develop an IoT Based traffic control system. The proposed system would be based on the measurement of the actual traffic density on the road. This would be achieved using a real time video and image processing techniques. Wherein the images captured and are stored in the server, which will be compared with the real time image captured via camera to identify the density. The theme is to control the traffic by determining the traffic density on each side of the road and enabling a controlling option of the traffic signal to the user through a software application. © 2019 IEEE.
Author Keywords	Image processing; Internet of Things; Smart traffic lights

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