… -M hybrid model is consistent with the measured data, and … ARIMA-GARCH-M hybrid model
constructed in this paper can predict short-term high-speed traffic flow with high prediction …

… The ARIMA-GARCH model is used to predict the similar and volatile parts, and the other …
WNN models are used to adjust the predictive percentage error of the ARIMA-GARCH model in …

… traffic flow using ARIMA-GARCH-M model by including a conditional variance term into the
mean equation of basic GARCH model… SVR and ARIMA-GARCH demonstrating performance …

… [35] presented a nonlinear hybrid method for traffic flow forecasting, which uses the
ARIMA-GARCH model to predict the similar and volatile parts, and applies the Markov model with …

… EVN traffic series and give reasonable forecasting … prediction, the multiplicative seasonal
ARIMA/GARCH model still acts well with the GARCH parameters adjusted to (0, 0) [12]. Using …

… ], where ARIMA/GARCH model was adapted for network traffic modeling. Based on these,
the orders are set to one here. Then, by (2), \(\{ \hat{\lambda }_{t} (n):n \ge 1\}\) are obtained as …

… models, such as GARCH (1,1) model in predicting the volatility of prices since the asymmetric
models … The study found the ARIMA model to be sufficient to forecast traffic flow. Bhardwaj …

… and forecasted the network traffic and extreme price … model residual and improves the
prediction accuracy. In addition, the ARIMA-GARCH model has solved the prediction modeling …

… of these models examined in two case studies with traffic … ARIMA-GARCH and copula
models developed in this study are introduced in Section 3. Section 4 tests the developed model …

… ARIMA-GARCH is a common hybrid model capable of … BRNN traffic prediction model to
improve traffic forecasts and to have a better effect in comparison to the LSTM and GRU models. …