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Using Tensor Completion Method to Achieving Better Coverage of Traffic State Estimation from Sparse Floating Car Data
Traffic state estimation from the floating car system is a challenging problem. The low penetration rate and random distribution make available floating car samples usually cover part space and time points of the road networks. To obtain a wide range of traffic state from the floating car system, ma...
| Autores principales: | , , , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
Public Library of Science
2016
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| Materias: | |
| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4957830/ https://www.ncbi.nlm.nih.gov/pubmed/27448326 http://dx.doi.org/10.1371/journal.pone.0157420 |