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ST-AFN: a spatial-temporal attention based fusion network for lane-level traffic flow prediction
Traffic flow prediction is the foundation of many applications in smart cities, and the granular precision of traffic flow prediction has to be enhanced with refined applications. However, most of the existing researches cannot meet these requirements. In this paper, we propose a spatial-temporal at...
| Autores principales: | , , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
PeerJ Inc.
2021
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| Materias: | |
| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8080424/ https://www.ncbi.nlm.nih.gov/pubmed/33981838 http://dx.doi.org/10.7717/peerj-cs.470 |