… [28] proposed a hybrid dual Kalman filter to predict shortterm traffic flow. To sum up,
linear model is simple in structure, weak in … of wavelet neural network based on mind evo- …

… Recent literature on short-term traffic flow forecasting has undergone a significant … short-term
traffic flow (5 min in future) conditions using a genetically optimized ANN and LWR models…

… [7] developed a hybrid model that combines Double Exponential Smoothing (… traffic flow
prediction [30]. Therefore, we propose a hybrid LSTM neural network based on the LSTM model …

… is also commonly known as traffic flow prediction. When the … as their prediction models, or
as a part of their hybrid models, … using exponential smoothing technique and the model was …

… Neural-network-based models for short-term traffic flow forecasing using a hybrid exponential
smoothing and Levenberg-Marquardt … Use of sequential learning for short-term traffic flow …

… In [38], they suggest a recurrent neural network based on Attention-based long-term …
time intervals using a SARIMASDGM hybrid prediction model,’’ PLoS ONE, vol. 14, no. 6, Jun. …

… them in the forecasting of road speed in short-term traffic flow. It … , “Multivariate short-term
traffic flow forecasting using time-… Borat, “A neural network based traffic-flow prediction model,” …

… In this study, we used the double exponential smoothing method and set the parameter …
Chang, ‘‘Neural-network-based models for short-term traffic flow forecasting using a hybrid …

… A wavelet neural network based on genetic algorithm optimization is proposed for urban …
—to obtain the optimal configuration of exponential smoothing and extreme learning machine …

… effective hybrid, which applies a data-driven fashion to determining a suitable traffic flow
forecasting model, … To mirror the flatness of the trend change, we employ the double exponential …