Low-Rank Autoregressive Tensor Completion for Spatiotemporal Traffic Data Imputation
Low-Rank Autoregressive Tensor Completion for Spatiotemporal Traffic Data Imputation
Spatiotemporal traffic time series (e.g., traffic volume/speed) collected from sensing systems are often incomplete with considerable corruption and large amounts of missing values, preventing users from harnessing the full power of the data. Missing data imputation has been a long-standing research topic and critical application for real-world intelligent transportation systems. …