Stacking Ensemble Learning Process to Predict Rural Road Traffic Flow
By predicting and informing the future of traffic through intelligent transportation systems, there is more readiness to avoid traffic congestion.In this study, an ensemble learning process is proposed to predict the hourly traffic flow.First, three base models, including K-nearest neighbors, random forest, and recurrent neural network, are trained