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Graph Convolutional Network: Traffic Speed Prediction Fused with Traffic Flow Data
Traffic speed prediction plays an important role in intelligent transportation systems, and many approaches have been proposed over recent decades. In recent years, methods using graph convolutional networks (GCNs) have been more promising, which can extract the spatiality of traffic networks and ac...
Autores principales: | , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2021
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8512614/ https://www.ncbi.nlm.nih.gov/pubmed/34640721 http://dx.doi.org/10.3390/s21196402 |