Grey prediction model based on Euler equations and its application in highway short-term traffic flow
Author:
Funder
National Natural Science Foundation of China
Publisher
Springer Science and Business Media LLC
Link
https://link.springer.com/content/pdf/10.1007/s11071-024-09611-x.pdf
Reference43 articles.
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3. Xu, X., Zhang, L.L., Kong, Q., et al.: Enhanced-historical average for long-term prediction. 2022 2nd International Conference on Computer, Control and Robotics, Shanghai, China. (2022). https://doi.org/10.1109/ICCCR54399.2022.9790148
4. Lippi, M., Bertini, M., Frasconi, P.: Short-term traffic flow forecasting: an experimental comparison of time-series analysis and supervised learning. IEEE T. Intell. Transp. 14(2), 871–882 (2013). https://doi.org/10.1109/TITS.2013.2247040
5. Guo, J.H., Huang, W., Williams, B.M.: Adaptive Kalman filter approach for stochastic short-term traffic flow rate prediction and uncertainty quantification. Transport. Res. C-Emer. 43, 50–64 (2014). https://doi.org/10.1016/j.trc.2014.02.006
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