Predicting driver behaviour at intersections based on driver gaze and traffic light recognition
Multi-task deep learning with optical flow features for self-driving cars
Multi-camera multiple vehicle tracking in urban intersections based on multilayer graphs
Projected state-wide traffic forecast parameters using artificial neural networks
Deep learning-based helmet wear analysis of a motorcycle rider for intelligent surveillance system
SAPSC: SignRecrypting authentication protocol using shareable clouds in VANET groups
Development of neuro-fuzzy-based multimodal mode choice model for commuter in Delhi
Integration of auto-steering with adaptive cruise control for improved cornering behaviour
Analysis of speed disturbances in empirical single vehicle probe data before traffic breakdown
Acoustic signal based detection and localisation of faults in motorcycles
Mutually coupled multiple inductive loop system suitable for heterogeneous traffic