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Global-Local Spatial-Temporal Residual Correlation Network for Urban Traffic Status Prediction

The recent proposed Spatial-Temporal Residual Network (ST-ResNet) model is an effective tool to extract both spatial and temporal characteristics and has been successfully applied to urban traffic status prediction. However, the ST-ResNet model only extracts the local spatial characteristics and ign...

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Detalles Bibliográficos
Autores principales:	Bao, Yin-Xin, Cao, Yang, Shen, Qin-Qin, Shi, Quan
Formato:	Online Artículo Texto
Lenguaje:	English
Publicado:	Hindawi 2022
Materias:	Research Article
Acceso en línea:	https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8828331/ https://www.ncbi.nlm.nih.gov/pubmed/35154304 http://dx.doi.org/10.1155/2022/7344522

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