Integrating Spatio-Temporal Graph Convolutional Networks with Convolutional Neural Networks for Predicting Short-Term Traffic Speed in Urban Road Networks

The rapid expansion of large urban areas underscores the critical importance of road infrastructure. An accurate understanding of traffic flow on road networks is essential for enhancing civil services and reducing fuel consumption. However, traffic flow is influenced by a complex array of factors a...

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Autores principales:	Seung Bae Jeon, Myeong-Hun Jeong
Formato:	Artigo
Lenguaje:	Inglês
Publicado:	MDPI AG 2024-07-01
Colección:	Applied Sciences
Materias:	traffic speed prediction spatio-temporal graph convolutional networks road network analysis hybrid model
Acceso en línea:	https://www.mdpi.com/2076-3417/14/14/6102
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