Short‐Term High-Speed Traffic Flow Prediction Based on ARIMA-GARCH-M Model

Author:

Lin Xianfu,Huang Yuzhang

Publisher

Springer Science and Business Media LLC

Subject

Electrical and Electronic Engineering,Computer Science Applications

Reference16 articles.

1. Kang, J., Duan, Z. T., & Tang, L. (2018). Online short-term traffic flow prediction method for LS-SVM. Application Research of Computers, 35(10), 91–94.

2. Zhao, S. X., & Cui, F. (2019). Application of an improved deep confidence network in traffic flow prediction. Application Research of Computers, 36(03), 139–142, 152.

3. Zhang, X. Y., Xu, T., & Zhang, Y. H. (2019). Hybrid traffic flow vehicle speed prediction model based on QPSO-RBF neural network. Highway, 64(01), 152–157.

4. Wang, X. F., & Ding, W. L. (2019). Short-term traffic forecasting method for highway big data. Application Research of Computers, 39(01), 93–98.

5. Wang, X. X., & Xu, L. H. (2018). Short-term traffic flow prediction based on deep learning. Transportation System Engineering and Information, 7(17), 175–177.

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