A Hybrid Framework Combining LSTM NN and BNN for Short-term Traffic Flow Prediction and Uncertainty Quantification

Author:

Wang YinpuORCID,Ke SipingORCID,An ChengchuanORCID,Lu ZhenboORCID,Xia JingxinORCID

Publisher

Springer Science and Business Media LLC

Subject

Civil and Structural Engineering

Reference41 articles.

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3. Blundell C, Cornebise J, Kavukcuoglu K, Wierstra D (2015) Weight uncertainty in neural networks. In International Conference on Machine Learning 1613–1622, DOI: https://doi.org/10.48550/arXiv.1505.05424

4. Chan A, Alaa A, Qian Z, Schaar MVD (2020) Unlabelled data improves Bayesian uncertainty calibration under covariate shift. Proceedings of the 37th International Conference on Machine Learning, PMLR, 1392–1402, DOI: https://doi.org/10.48550/arXiv.2006.14988

5. Clark SD, Dougherty MS, Kirby HR (1993) The use of neural networks and time series models for short term traffic forecasting: A comparative study. In Transportation Planning Methods. Proceedings of Seminar D Held at the Ptrc European Transport, Highways and Planning 21st Summer Annual Meeting, 363

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