Deep spatial-temporal bi-directional residual optimisation based on tensor decomposition for traffic data imputation on urban road network
Author:
Funder
National Natural Science Foundation of China
Publisher
Springer Science and Business Media LLC
Subject
Artificial Intelligence
Link
https://link.springer.com/content/pdf/10.1007/s10489-021-03060-4.pdf
Reference40 articles.
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3. Bae B, Kim H, Lim H, Liu Y, Han LD, Freeze PB (2018) Missing data imputation for traffic flow speed using spatio-temporal cokriging. Transp Res Part C Emerg Technol 88:124–139
4. Chen X, He Z, Sun L (2019) A Bayesian tensor decomposition approach for spatiotemporal traffic data imputation. Transp Res Part C: Emerg Technol 98:73–84
5. Li H, Li M, Lin X, He F, Wang Y (2020) A spatiotemporal approach for traffic data imputation with complicated missing patterns. Transp Res Part C: Emerg Technol 119:102730
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