The SIMON project aims to address both car drivers and vulnerable road users such as pedestrians and cyclists. Manufacturers of automated vehicles can also benefit from the knowledge gained on expectation-compliant behavior. The project includes the development of a dynamic traffic context data model (digital twin) to support various use cases. The aim is to inform road users, especially car drivers and cyclists, about potential hazards and to display intuitive instructions for action in the HMI (Trafficpilot). The information can also be transferred to other navigation systems. This enables safe and ecological navigation in traffic. The information about potential risks can also be displayed in maps and navigation systems such as OpenStreetMap to help local authorities improve traffic management. In addition, automated vehicles will be able to access data on infrastructure and other road users to build a comprehensive understanding of the traffic context and drive safely and sustainably. The project aims to increase acceptance and confidence in mobility in mixed and increasingly automated traffic. User groups such as cyclists and pedestrians, who have previously been given less consideration, are also included. The project partners have already established contacts with manufacturers, cities and municipalities.