Author:
Tang Junjie,Zhang Junhao,Jin Juncheng,Qu Zehui
Publisher
Springer Nature Switzerland
Reference27 articles.
1. Abda, Zaki, Chettih, Mohamed, Zerouali, Bilel: Assessment of neuro-fuzzy approach based different wavelet families for daily flow rates forecasting. Model. Earth Syst. Environ. 7(3), 1523–1538 (2020). https://doi.org/10.1007/s40808-020-00855-1
2. Chen, J., Liu, L., Wu, H., Zhen, J., Lin, L.: Physical-virtual collaboration modeling for intra- and inter-station metro ridership prediction. Trans. Intell. Transp. Sys. 23(4), 3377–3391 (2022)
3. Chen, P., Fu, X., Wang, X.: A graph convolutional stacked bidirectional unidirectional-lstm neural network for metro ridership prediction. IEEE Trans. Intell. Transp. Syst. 99, 1–13 (2021)
4. Chen, Q., Song, Y., Zhao, J.: Short-term traffic flow prediction based on improved wavelet neural network. Neural Comput. Appl. 33, 8181–8190 (2021)
5. Cui, Z., Ke, R., Pu, Z., Ma, X., Wang, Y.: Learning traffic as a graph: a gated graph wavelet recurrent neural network for network-scale traffic prediction. Transp. Res. Part C: Emerg. Technol. 115, 102620 (2020)