Short-Term Traffic Flow Prediction via Improved Mode Decomposition and Self-Attention Mechanism Based Deep Learning Approach-Reference-Cited by-同舟云学术

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Short-Term Traffic Flow Prediction via Improved Mode Decomposition and Self-Attention Mechanism Based Deep Learning Approach

Published:2022-07-15 Issue:14 Volume:22 Page:14356-14365
ISSN:1530-437X
Container-title:IEEE Sensors Journal
language:
Short-container-title:IEEE Sensors J.

Author:

Li Jie¹^ORCID,Zhang Zichen¹,Meng Fanxi¹,Zhu Wei¹^ORCID

Affiliation:

1. School of Electronic and Control Engineering, Chang’an University, Xi’an, China

Funder

National Key Research and Development Program of China

Chinese Ministry of Education of Fundamental Research Funds for the Central Universities

Key Research and Development Program of Shaanxi Province

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Electrical and Electronic Engineering,Instrumentation

Link

http://xplorestaging.ieee.org/ielx7/7361/9829891/09796031.pdf?arnumber=9796031

Reference28 articles.

1. Dynamic graph convolutional network for long-term traffic flow prediction with reinforcement learning

2. Prediction model of lane occupancy rate based on multi-component fusion of hole mapconvolution;sun;Comput Eng,2021

3. A customized deep learning approach to integrate network-scale online traffic data imputation and prediction

4. Attention based multi-component spatiotemporal cross-domain neural network model for wireless cellular network traffic prediction

5. Wind speed interval prediction model based on variational mode decomposition and multi-objective optimization;wang;Appl Soft Comput,2018

Cited by 3 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. A Time Series Decomposition and Reinforcement Learning Ensemble Method for Short-Term Passenger Flow Prediction in Urban Rail Transit;Urban Rail Transit;2023-11-20

2. Adaptive hyperparameter optimization for short term traffic flow prediction with spatial temporal correlated raster data;Evolving Systems;2023-07-04

3. Short-Term Traffic Prediction Using Deep Learning Long Short-Term Memory: Taxonomy, Applications, Challenges, and Future Trends;IEEE Access;2023

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