Road Network Energy Optimization Using IoT and Deep Learning
Predicting network flows from speeds using open data and transfer learning
Smart IoT‐Enabled Traffic Sign Recognition With High Accuracy (TSR‐HA) Using Deep Learning
Combining weather condition data to predict traffic flow: a GRU‐based deep learning approach
Anomalous Activity Detection Using Deep Learning Techniques in Autonomous Vehicles
Deep learning methods in transportation domain: a review
Predicting driver behaviour at intersections based on driver gaze and traffic light recognition
Short‐term FFBS demand prediction with multi‐source data in a hybrid deep learning framework
Efficient deep learning based method for multi‐lane speed forecasting: a case study in Beijing
Innovative method for traffic data imputation based on convolutional neural network
Deep learning‐based vehicle detection with synthetic image data
LSTM network: a deep learning approach for short‐term traffic forecast
Spatio‐temporal expand‐and‐squeeze networks for crowd flow prediction in metropolis