Short-term traffic flow prediction model based on a shared weight gate recurrent unit neural network

Author:

Sun Xiaoyong,Chen Fenghao,Wang Yuchen,Lin XuefenORCID,Ma Weifeng

Publisher

Elsevier BV

Subject

Statistical and Nonlinear Physics,Statistics and Probability

Reference41 articles.

1. Short-term traffic flow rate forecasting based on identifying similar traffic patterns;Habtemichael;Transp. Res. C,2016

2. Using lstm and gru neural network methods for traffic flow prediction;Fu,2016

3. Long-term traffic prediction based on lstm encoder–decoder architecture;Wang;IEEE Trans. Intell. Transp. Syst.,2020

4. Y. Li, R. Yu, C. Shahabi, Y. Liu, Diffusion convolutional recurrent neural network: Data-driven traffic forecasting, arXiv preprint arXiv:1707.01926.

5. Deeptrend 2.0: A light-weighted multi-scale traffic prediction model using detrending;Dai;Transp. Res. C,2019

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