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Hourly forecasting of traffic flow rates using spatial temporal graph neural networks
Traffic congestion forms a large problem in many major metropolitan regions around the world, leading to delays and societal costs. As people resume travel upon relaxation of COVID-19 restrictions and personal mobility returns to levels prior to the pandemic, policy makers need tools to understand n...
| Autores principales: | , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
The Author(s). Published by Elsevier B.V.
2023
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| Materias: | |
| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10115147/ https://www.ncbi.nlm.nih.gov/pubmed/37095849 http://dx.doi.org/10.1016/j.procs.2023.03.016 |