A Hybrid Short-Term Traffic Flow Multistep Prediction Method Based on Variational Mode Decomposition and Long Short-Term Memory Model
Timely and accurate traffic prediction information is essential for advanced traffic management system (ATMS) and advanced traveler information system (ATIS). Because of the characteristics of nonlinearity, nonstationarity, and randomness, short-term traffic flow prediction could be still a challeng...
Saved in:
Main Authors: | Qichun Bing, Fuxin Shen, Xiufeng Chen, Weijian Zhang, Yanran Hu, Dayi Qu |
---|---|
Format: | Article |
Language: | English |
Published: |
Wiley
2021-01-01
|
Series: | Discrete Dynamics in Nature and Society |
Online Access: | http://dx.doi.org/10.1155/2021/4097149 |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
-
A Hybrid Model for Short-Term Traffic Flow Prediction Based on Variational Mode Decomposition, Wavelet Threshold Denoising, and Long Short-Term Memory Neural Network
by: Yang Yu, et al.
Published: (2021-01-01) -
Hybrid GNSS time-series prediction method based on ensemble empirical mode decomposition with long short-term memory
by: Yu Zhou, et al.
Published: (2025-01-01) -
Correction: Hybrid GNSS time-series prediction method based on ensemble empirical mode decomposition with long short-term memory
by: Yu Zhou, et al.
Published: (2025-01-01) -
Short-term power prediction of photovoltaic power station based on long short-term memory-back-propagation
by: Chi Hua, et al.
Published: (2019-10-01) -
A Novel Long Short-Term Memory Predicted Algorithm for BDS Short-Term Satellite Clock Offsets
by: Tailai Wen, et al.
Published: (2021-01-01)