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Smart city article details

Title	Retraction: Smart Traffic Control Scheduling In Smart City Signal Control
ID_Doc	46360
Authors	Kirubakaran S.; Santhosh S.; Tamilselvan S.; Varunika G.; Vishnu K.
Year	2021
Published	Journal of Physics: Conference Series, 1916, 1
DOI	http://dx.doi.org/10.1088/1742-6596/1916/1/012192
Abstract	The most critical concerns in urban life are increasing population growth and an increase in the count of vehicles on road, tends to traffic congestion. Traffic signal control devices are commonly used to track and monitor the vehicles. Traffic congestion leads to air and noise pollution and many health issues. Therefore, this project reduces time and fuel consumption. In this project, a video processing technique is used to present a new approach for controlling traffic light. The developed model evaluates the traffic light scheduling based on the count of vehicles. Raspberry pi is used to execute it. © Published under licence by IOP Publishing Ltd.
Author Keywords	Health issue; Raspberry Pi; Reduces time; Traffic light scheduling

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