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Scalable low-rank tensor learning for spatiotemporal traffic data imputation

  • Published:2021-08 Issue: Volume:129 Page:103226
  • ISSN:0968-090X
  • Container-title:Transportation Research Part C: Emerging Technologies
  • language:en
  • Short-container-title:Transportation Research Part C: Emerging Technologies

Author:

Chen Xinyu,Chen Yixian,Saunier Nicolas,Sun Lijun

Funder

Institut de Valorisation des Données

Natural Sciences and Engineering Research Council of Canada

Canada Foundation for Innovation

Fonds de recherche du Québec – Nature et technologies

Publisher

Elsevier BV

Subject

Computer Science Applications,Transportation,Automotive Engineering,Civil and Structural Engineering

Reference25 articles.

1. Matrix and tensor based methods for missing data estimation in large traffic networks;Asif;IEEE Trans. Intell. Transp. Syst.,2016

2. Low-dimensional models for missing data imputation in road networks;Asif,2013

3. Handling missing data in multivariate time series using a vector autoregressive model-imputation (var-im) algorithm;Bashir;Neurocomput.,2018

4. Recurrent neural networks for multivariate time series with missing values;Che;Scientific Reports,2018

5. Nearest neighbor imputation for survey data;Chen;J. Off. Stat.,2000

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