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SVRGSA: a hybrid learning based model for short-term traffic flow forecasting
Investigating long-term vehicle speed prediction based on BP-LSTM algorithms
Hybrid dual Kalman filtering model for short-term traffic flow forecasting
Dynamic near-term traffic flow prediction: system-oriented approach based on past experiences
Road traffic network state prediction based on a generative adversarial network
Trajectory prediction for intelligent vehicles using spatial-attention mechanism
Predicting vacant parking space availability: an SVR method with fruit fly optimisation
Prediction of energy consumption for new electric vehicle models by machine learning
Spatial econometrics models for congestion prediction with in-vehicle route guidance
Forecasting usage and bike distribution of dockless bike-sharing using journey data
Hybrid short-term prediction of traffic volume at ferry terminal based on data fusion
Short-term passenger flow forecast of urban rail transit based on GPR and KRR
Prediction of vehicle energy consumption on a planned route based on speed features forecasting
Improving short-term traffic forecasts: to combine models or not to combine?