FeSTGCN: A frequency-enhanced spatio-temporal graph convolutional network for traffic flow prediction under adaptive signal timing
Author:
Funder
National Natural Science Foundation of China
Publisher
Springer Science and Business Media LLC
Link
https://link.springer.com/content/pdf/10.1007/s10489-024-05401-5.pdf
Reference40 articles.
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4. Huang X, Jiang Y, Tang J (2023) MAPredRNN: multi-attention predictive RNN for traffic flow prediction by dynamic spatio-temporal data fusion. Appl Intell 53:19372–19383. https://doi.org/10.1007/s10489-023-04494-8
5. Zheng H, Lin F, Feng X, Chen Y (2021) A hybrid deep learning model with attention-based Conv-LSTM networks for short-term traffic flow prediction. IEEE Trans Intell Transp Syst 22:6910–6920. https://doi.org/10.1109/TITS.2020.2997352
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