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Title	Smart City Intelligent Traffic Control For Connected Road Junction Congestion Awareness With Deep Extreme Learning Machine
ID_Doc	50318
Authors	Hassan M.; Kanwal A.; Jarrah M.; Pradhan M.; Hussain A.; Mago B.
Year	2022
Published	2022 International Conference on Business Analytics for Technology and Security, ICBATS 2022
DOI	http://dx.doi.org/10.1109/ICBATS54253.2022.9759073
Abstract	Congestion-free traffic management has been a top priority for Machine Learning (ML) in the smart city sector for the past decade. Machine learning Algorithms are superfluous although working with the increased amount of data but these improve the capability and intelligence at a level cost. In this research, we propose a model based on a deep learning framework with a multi-layer Extreme Learning Machine (ELM) is proposed considering congestion information at all possible connection points to smooth a signal working over that recorded information. A more desirable outcome will be achieved by the proposed method, and traffic flow and congestion will improve. © 2022 IEEE.
Author Keywords	extreme learning machine; machine learning algorithms; smart city

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