Approach for Short-Term Traffic Flow Prediction Based on Empirical Mode Decomposition and Combination Model Fusion-Reference-Cited by-同舟云学术

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Approach for Short-Term Traffic Flow Prediction Based on Empirical Mode Decomposition and Combination Model Fusion

Published:2021-09 Issue:9 Volume:22 Page:5566-5576
ISSN:1524-9050
Container-title:IEEE Transactions on Intelligent Transportation Systems
language:
Short-container-title:IEEE Trans. Intell. Transport. Syst.

Author:

Tian Zhongda^ORCID

Funder

Science Research Project of Liaoning Education Department

Natural Science Foundation of Liaoning Province

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Computer Science Applications,Mechanical Engineering,Automotive Engineering

Link

http://xplorestaging.ieee.org/ielx7/6979/9526217/09090368.pdf?arnumber=9090368

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3. Adaptive data processing framework for efficient short-term traffic flow prediction;Nonlinear Dynamics;2024-06-27

4. Predictive Model for Long-Term Lane Occupancy Rate Based on CT-Transformer and Variational Mode Decomposition;Applied Sciences;2024-06-20

5. Traffic flow prediction for highway vehicle detectors through decomposition and machine learning;Transportation Letters;2024-05-15

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