Dynamic Spatial-Temporal Dual Graph Neural Networks for Urban Traffic Prediction

Author:

Wang Li,Ning Nianwen,Liu Yihan,Lv Yining,Tian Yongmeng,Zhang Yanyu,Zhou Yi

Publisher

Springer Nature Singapore

Reference23 articles.

1. Liu, J., Guan, W.: A summary of traffic flow forecasting methods. J. Highw. Transp. Res. Dev. 21(3), 82–85 (2004)

2. Han, L., Du, B., Sun, L., et al.: Dynamic and multi-faceted spatio-temporal deep learning for traffic speed forecasting. In: Proceedings of the 27th ACM SIGKDD Conference on Knowledge Discovery & Data Mining, pp. 547–555 (2021)

3. Ta, X., Liu, Z., Hu, X., et al.: Adaptive spatio-temporal graph neural network for traffic forecasting. Knowl. Based Syst. 242(22), 180–199 (2022)

4. Lan, S., Ma, Y., Huang, W., et al.: DSTAGNN: dynamic spatial-temporal aware graph neural network for traffic flow forecasting. In: International Conference on Machine Learning, pp. 11906–11917. PMLR (2022)

5. Zheng, Q.: Dynamic spatial-temporal adjacent graph convolutional network for traffic forecasting. IEEE Trans. Big Data 21(3), 82–85 (2022)

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