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STHSGCN: Spatial-temporal heterogeneous and synchronous graph convolution network for traffic flow prediction
Nowadays, as a crucial component of intelligent transportation systems, traffic flow prediction has received extensive concern. However, most of the existing studies extracted spatial-temporal features with modules that do not differentiate with time and space, and failed to consider spatial-tempora...
| Autores principales: | , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
Elsevier
2023
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| Materias: | |
| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10559355/ https://www.ncbi.nlm.nih.gov/pubmed/37809690 http://dx.doi.org/10.1016/j.heliyon.2023.e19927 |