Short-Term Traffic Data Forecasting: A Deep Learning Approach
Author:
Publisher
Allerton Press
Subject
Electrical and Electronic Engineering,General Computer Science,Electronic, Optical and Magnetic Materials
Link
https://link.springer.com/content/pdf/10.3103/S1060992X21010021.pdf
Reference30 articles.
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3. Agafonov, A.A. and Yumaganov, A.S., Bus arrival time prediction using recurrent Neural Network with LSTM architecture, Opt. Mem. Neural Networks, 2019, vol. 28, no. 3, pp. 222–230. https://doi.org/10.3103/S1060992X19030081
4. Agafonov, A. and Myasnikov, V., Stochastic on-time arrival problem with levy stable distributions, 2019, pp. 227–231. https://doi.org/10.1109/ICITE.2019.8880254
5. Vlahogianni, E.I., Karlaftis, M.G., and Golias, J.C., Short-term traffic forecasting: Where we are and where we’re going, Transp. Res., Part C: Emerging Technol., 2014, vol. 43, pp. 3–19. https://doi.org/10.1016/j.trc.2014.01.005
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