Human dynamics based driver model for autonomous car
Hybrid strategy for traffic light detection by combining classical and self‐learning detectors
LightGBM‐based model for metro passenger volume forecasting
Multi‐graph convolutional network for short‐term passenger flow forecasting in urban rail transit
Multi‐receptive field graph convolutional neural networks for pedestrian detection
Multi‐task deep learning with optical flow features for self‐driving cars
Pedestrian motion recognition via Conv‐VLAD integrated spatial‐temporal‐relational network
Prediction of vehicle energy consumption on a planned route based on speed features forecasting
Short‐term traffic congestion prediction with Conv–BiLSTM considering spatio‐temporal features
Spatio‐temporal expand‐and‐squeeze networks for crowd flow prediction in metropolis
Speed pattern recognition technique for short‐term traffic forecasting based on traffic dynamics