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Tensor Decomposition for Spatial—Temporal Traffic Flow Prediction with Sparse Data
Urban transport traffic surveillance is of great importance for public traffic control and personal travel path planning. Effective and efficient traffic flow prediction is helpful to optimize these real applications. The main challenge of traffic flow prediction is the data sparsity problem, meanin...
| Autores principales: | , , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
MDPI
2020
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| Materias: | |
| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7660680/ https://www.ncbi.nlm.nih.gov/pubmed/33114275 http://dx.doi.org/10.3390/s20216046 |