Scalable Temporal Dimension Preserved Tensor Completion for Missing Traffic Data Imputation with Orthogonal Initialization

• Published in: IEEE/CAA journal of automatica sinica Vol. 11; no. 10; pp. 2188 - 2190
• Main Authors: Chen, Hong, Lin, Mingwei, Liu, Jiaqi, Xu, Zeshui
• Format: Journal Article
• Language: English
• Published: Piscataway Chinese Association of Automation (CAA) 01.10.2024; The Institute of Electrical and Electronics Engineers, Inc. (IEEE); School of Mathematics and Statistics,Fujian Normal University,Fuzhou 350117,China%College of Computer and Cyber Security,Fujian Normal University,Fuzhou 350117,China%Business School,Sichuan University,Chengdu 610064,China
• Subjects: Accuracy; Datasets; Finite differences; Operators (mathematics); Regularization; Tensors

Dear Editor, This letter puts forward a novel scalable temporal dimension preserved tensor completion model based on orthogonal initialization for missing traffic data (MTD) imputation. The MTD imputation acts directly on accessing the traffic state, and affects the traffic management. However, it s...