Machine Learning for Predictive Traffic Safety
Edge-based machine learning system using Digital Twin models to predict traffic trajectories and identify hazardous situations via SUMO-based simulation.
Edge-based machine learning system using Digital Twin models to predict traffic trajectories and identify hazardous situations via SUMO-based simulation.
Evaluation of Digital Twin integration in traffic systems, focusing on ADAS/Electronic Horizon use cases and robust multi-technology communication architectures.