Parametrics Methods (6 papers)
ARIMA
B. Williams, L. Hoel,"Modeling and Forecasting Vehicular Traffic Flow as a Seasonal ARIMA Process: Theoretical Basis and Empirical Results", Journal of Transportation Engineering, Volume 129, No. 6, pages 664-672, 2003.
ARIMA-BP
H. Yang and X. Li and W. Qiang and Y. Zhao and W. Zhang and C. Tang, "A Network Traffic Forecasting Method based on SA Optimized ARIMA–BP Neural Network", Computer Network Computer Networks, 2021.
ESARIMA
Y. Miao, X. Bai, Y. Cao, "A novel short-term traffic predictionmodel based on svd and arima with blockchain in industrial internet of things", IEEE Internet Things Journal, 2023.
SARIMA-GCN-LSTM
H. Yang and X. Li and W. Qiang and Y. Zhao and W. Zhang and C. Tang, "A Study on Highway Traffic Volume Forecasting based on The SARIMA-GCN-LSTM Model, IEEE Electronics and Computer Engineering, ICSECE 2024, 2024.
History Average Model
B. Smith and M. Demetsky, "Traffic Flow Forecasting: Comparison of Modeling Approaches", Journal of Transportation Engineering, Volume 123, pages 261-266, 1997.
Holt-Winters Models
I. Kochetkova, A. Kushchazli, S. Burtseva, A. Gorshenin, "Short-Term Mobile Network Traffic Forecasting using Seasonal ARIMA and Holt-Winters Models", Future Internet, Volume 15, No. 9, 2023.
No-Parametrics Methods (4 papers)
KNN
S. Clark, "Traffic prediction using multivariate nonparametric regression", Journal of Transportation Engineering, Volume 129, pages 161-168, 2003.
Enhanced KNN
F. Habtemichael, M. Cetin, “Short-Term Traffic Flow Rate Forecasting Based On Identifying Similar Traffic Patterns”, Transportation Research Part C: Emerging Technologies, Volume 66, pages 61-78, 2016.
ST-KNN
S. Cheng, F. Lu, P. Peng, S. Wu, "Short-Term Traffic Forecasting: An Adaptive ST-KNN Model that Considers Spatial Heterogeneity", Computers, Environment and Urban Systems, Volume 71, 2018.
DP-KNN
B. Sun, W. Cheng, P. Goswami, G. Bai “Short-Term Traffic Forecasting using Self-Adjusting K-Nearest Neighbours”, IET Intelligent Transport Systems, 2018.