Digital twin traffic & environment

• Creation of a digital twin for traffic and environment to provide consistent data from both domains for AI/ML
• Application of AI-based, self-learning forecast models for traffic and environment (air quality and energy consumption)
• Conception of an air quality and traffic situation picture including map-based representation of the current air quality and traffic situation as well as the results of AI-supported forecasts regarding expected air quality and traffic situation