FDSA-STG: Fully Dynamic Self-Attention Spatio-Temporal Graph Networks for Intelligent Traffic Flow Prediction
Published 2022 View Full Article
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Title
FDSA-STG: Fully Dynamic Self-Attention Spatio-Temporal Graph Networks for Intelligent Traffic Flow Prediction
Authors
Keywords
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Journal
IEEE TRANSACTIONS ON VEHICULAR TECHNOLOGY
Volume 71, Issue 9, Pages 9250-9260
Publisher
Institute of Electrical and Electronics Engineers (IEEE)
Online
2022-05-27
DOI
10.1109/tvt.2022.3178094
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- (2018) Junbo Zhang et al. ARTIFICIAL INTELLIGENCE
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- (2018) Jianhua Liu et al. Future Generation Computer Systems-The International Journal of eScience
- A hybrid deep learning based traffic flow prediction method and its understanding
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- State-of-the-Art Deep Learning: Evolving Machine Intelligence Toward Tomorrow’s Intelligent Network Traffic Control Systems
- (2017) Zubair Md. Fadlullah et al. IEEE Communications Surveys and Tutorials
- LSTM network: a deep learning approach for short-term traffic forecast
- (2017) Zheng Zhao et al. IET Intelligent Transport Systems
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