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Spatio-temporal causal graph attention network for traffic flow prediction in intelligent transportation systems
Accurately predicting traffic flow on roads is crucial to address urban traffic congestion and save on travel time. However, this is a challenging task due to the strong spatial and temporal correlations of traffic data. Existing traffic flow prediction methods based on graph neural networks and rec...
| Autores principales: | , , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
PeerJ Inc.
2023
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| Materias: | |
| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10403226/ https://www.ncbi.nlm.nih.gov/pubmed/37547406 http://dx.doi.org/10.7717/peerj-cs.1484 |