A Spatio-Temporal Online Robust Tensor Recovery Approach for Streaming Traffic Data Imputation

arXiv — cs.LG•Tuesday, November 4, 2025 at 5:00:00 AM

A Spatio-Temporal Online Robust Tensor Recovery Approach for Streaming Traffic Data Imputation

A recent study has introduced a novel approach to traffic data imputation, emphasizing the critical role of data quality in Intelligent Transportation Systems (F2). This method utilizes advanced low-rank tensor recovery algorithms to restore degraded traffic data effectively (F3). By applying this spatio-temporal online robust tensor recovery technique, the approach enhances the accuracy and reliability of streaming traffic data (F1). The improved data quality resulting from this method supports better decision-making processes in traffic management (F4). Consequently, the approach offers significant benefits by addressing data degradation issues commonly encountered in traffic monitoring systems (F5). This development represents a promising advancement in the field of traffic data analysis and management.

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