Multi-level spatial-temporal fusion neural network for traffic flow prediction
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Publisher
Springer Science and Business Media LLC
Link
https://link.springer.com/content/pdf/10.1007/s10586-024-04296-8.pdf
Reference45 articles.
1. Guo, S., Lin, Y., Feng, N.E.: Attention based spatial-temporal graph convolutional networks for traffic flow forecasting. In: Proceedings of the AAAI Conference on Artificial Intelligence, vol. 33, pp. 922–929 (2019)
2. Chu, K.-F., Lam, A.Y.S., Li, V.: Deep multi-scale convolutional LSTM network for travel demand and origin-destination predictions. IEEE Trans. Intell. Transp. Syst. 21, 3219–3232 (2020)
3. Tian, C., Chan, W.K.: Spatial-temporal attention wavenet: a deep learning framework for traffic prediction considering spatial-temporal dependencies. IET Intell. Transp. Syst. 15, 549–561 (2021)
4. Xiaoming, S., Qi, H., Shen, Y., Wu, G., Yin, B.: A spatial-temporal attention approach for traffic prediction. IEEE Trans. Intell. Transp. Syst. (2020). https://doi.org/10.1109/TITS.2020.2983651
5. Zhang, J., Zheng, Y., Sun, J., Qi, D.: Flow prediction in spatio-temporal networks based on multitask deep learning. IEEE Trans. Knowl. Data Eng. 32, 468–478 (2020)
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1. Traffic flow prediction with multi-feature spatio-temporal coupling based on peak time embedding;The Journal of Supercomputing;2024-07-26
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