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

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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Autores principales: Noor Afiza Mat Razali, Nuraini Shamsaimon, Khairul Khalil Ishak, Suzaimah Ramli, Mohd Fahmi Mohamad Amran, Sazali Sukardi
Formato: article
Lenguaje:EN
Publicado: SpringerOpen 2021
Materias:
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
Acceso en línea:https://doaj.org/article/608a0252a4a74f7e86b80097f6036316
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https://doaj.org/article/608a0252a4a74f7e86b80097f6036316

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