Gap, techniques and evaluation: traffic flow prediction using machine learning and deep learning

Abstract The development of the Internet of Things (IoT) has produced new innovative solutions, such as smart cities, which enable humans to have a more efficient, convenient and smarter way of life. The Intelligent Transportation System (ITS) is part of several smart city applications where it enha...

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Auteurs principaux:	Noor Afiza Mat Razali, Nuraini Shamsaimon, Khairul Khalil Ishak, Suzaimah Ramli, Mohd Fahmi Mohamad Amran, Sazali Sukardi
Format:	article
Langue:	EN
Publié:	SpringerOpen 2021
Sujets:	Traffic flow Congestion prediction Machine learning Deep learning Connected vehicles Hybrid machine learning Computer engineering. Computer hardware TK7885-7895 Information technology T58.5-58.64 Electronic computers. Computer science QA75.5-76.95
Accès en ligne:	https://doaj.org/article/608a0252a4a74f7e86b80097f6036316
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Gap, techniques and evaluation: traffic flow prediction using machine learning and deep learning

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