Spatio‐temporal expand‐and‐squeeze networks for crowd flow prediction in metropolis
Multi‐graph convolutional network for short‐term passenger flow forecasting in urban rail transit
Speed pattern recognition technique for short‐term traffic forecasting based on traffic dynamics
Multi‐receptive field graph convolutional neural networks for pedestrian detection
Multi‐task deep learning with optical flow features for self‐driving cars
Automated class identification of modes of travel in shared spaces: a case study from India
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
Hybrid strategy for traffic light detection by combining classical and self‐learning detectors
LightGBM‐based model for metro passenger volume forecasting