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What is TLC

Applications of Big Data in Large- and Small-Scale Systems
Traffic Light Controllers are used to monitor and control the vehicles on the road.
Published in Chapter:
A Study on Self-Regulating Traffic Light Control Using RFID and Machine Learning Algorithm
Dhivya P. (Bannari Amman Institute of Technology, India)
Copyright: © 2021 |Pages: 7
DOI: 10.4018/978-1-7998-6673-2.ch013
Abstract
Traffic control light frameworks are generally used to control and screen the stream of cars through the intersection of numerous streets. As the quantity of street clients always increments and assets gave are constrained, savvy activity flag controller is an exceptionally real prerequisite. One disadvantage of customary methodologies for movement administration is that they don't consider the distinctive valuations of holding up time lessening of the drivers. This chapter proposed another component for versatile activity control utilizing machine learning. In the proposed framework, the authors are utilizing picture sensor in the LED publication which catches the pictures of streets in every one of the bearings and returns the number of head checks of the vehicles to a machine learning calculation. The machine learning calculation is intended to take in the rush hour gridlock thickness without anyone else with first caught picture and consider reference. In this manner, the proposed activity control framework will be an exceptional technique for self-learning and security improving.
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