Combining weather condition data to predict traffic flow: a GRU-based deep learning approach
Deep learning methods in transportation domain: a review
Motion control of unmanned underwater vehicles via deep imitation reinforcement learning algorithm
Rainfall-integrated traffic speed prediction using deep learning method
Multi-task deep learning with optical flow features for self-driving cars
Short-term FFBS demand prediction with multi-source data in a hybrid deep learning framework
Research on deep learning method for rail surface defect detection
Predicting driver behaviour at intersections based on driver gaze and traffic light recognition
Value-based deep reinforcement learning for adaptive isolated intersection signal control
Short-term traffic flow prediction of road network based on deep learning
Deep reinforcement learning based conflict detection and resolution in air traffic control