Tensor Extended Kalman Filter and its Application to Traffic Prediction-Reference-Cited by-同舟云学术

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Tensor Extended Kalman Filter and its Application to Traffic Prediction

Published:2023-12 Issue:12 Volume:24 Page:13813-13829
ISSN:1524-9050
Container-title:IEEE Transactions on Intelligent Transportation Systems
language:
Short-container-title:IEEE Trans. Intell. Transport. Syst.

Author:

Chang Shih Yu¹^ORCID,Wu Hsiao-Chun²^ORCID,Kao Yi-Chih³^ORCID

Affiliation:

1. Department of Applied Data Science, San Jose State University, San Jose, CA, USA

2. School of Electrical Engineering and Computer Science, Louisiana State University, Baton Rouge, LA, USA

3. Information Technology Service Center, National Yang Ming Chiao Tung University, Hsinchu, Taiwan

Funder

Louisiana Board of Regents Research Competitiveness Subprogram

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Computer Science Applications,Mechanical Engineering,Automotive Engineering

Link

http://xplorestaging.ieee.org/ielx7/6979/10339106/10208113.pdf?arnumber=10208113

Reference54 articles.

1. Efficient missing data imputing for traffic flow by considering temporal and spatial dependence

2. Low Multilinear Rank Approximation of Tensors and Application in Missing Traffic Data

3. Robust Missing Traffic Flow Imputation Considering Nonnegativity and Road Capacity

4. Missing traffic data: comparison of imputation methods

Cited by 4 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Spatial-Temporal Large Language Model for Traffic Prediction;2024 25th IEEE International Conference on Mobile Data Management (MDM);2024-06-24

2. Traffic flow prediction: A 3D adaptive multi‐module joint modeling approach integrating spatial‐temporal patterns to capture global features;Journal of Forecasting;2024-05-18

3. Multimedia Classification via Tensor Linear Discriminant Analysis;IEEE Transactions on Broadcasting;2024

4. Tensor MIMO Perfect-Equalizer Design Using New Projection-Based Method and Approximation-Error Analysis;IEEE Systems Journal;2023

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