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

作　　者：Hong Chen Mingwei Lin Jiaqi Liu Zeshui Xu 

机构地区：[1]School of Mathematics and Statistics,Fujian Normal University,Fuzhou 350117,China [2]College of Computer and Cyber Security,Fujian Normal University,Fuzhou 350117,China [3]Business School,Sichuan University,Chengdu 610064,China [4]IEEE

出　　处：《IEEE/CAA Journal of Automatica Sinica》2024年第10期2188-2190,共3页自动化学报（英文版）

基　　金：supported by the Young Top Talent of Young Eagle Program of Fujian Province,China(F21E 0011202B01).

摘　　要：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.

关 键 词：DIMENSION management traffic 

分 类 号：U491[交通运输工程—交通运输规划与管理]