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...

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Detalles Bibliográficos
Autores principales: Ran, Bin, Song, Li, Zhang, Jian, Cheng, Yang, Tan, Huachun
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Public Library of Science 2016
Materias:
Research Article
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

Internet

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

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