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Title	A Smart Algorithm For Traffic Lights Intersections Control In Developing Countries
ID_Doc	4667
Authors	Olaya-Quiñones J.D.; Perafan-Villota J.C.
Year	2021
Published	2021 IEEE Colombian Conference on Applications of Computational Intelligence, ColCACI 2021 - Proceedings
DOI	http://dx.doi.org/10.1109/ColCACI52978.2021.9469581
Abstract	Traffic jam is a problem that directly affects the quality of life of the population in large cities. This problem exacerbates at road intersections, where obsolete traffic control systems based on a static set of rules remain in use. We propose an algorithm that improves vehicular flow control at traffic-light intersections by optimizing a dynamic allocation of times. We train our own YOLO detector using a set of images captured from traffic cameras installed at a cross-road. Based on the number of vehicles detected in each intersection road, one set of rules was created and used by a fuzzy control. Since, at the local level, there are few traffic cameras installed on intersections. We build a simulated environment both to train our detector system and verify the efficiency of our algorithm. © 2021 IEEE.
Author Keywords	Deep learning; Fuzzy Logic; Smart city; Traffic jam; Unit3D; YOLO

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