Urbanization is imposing radical changes in the planning and management of cities compared to those in which we are used to living. The Smart City concept is based on the IoT and aims to resolve the critical issues of today's cities, identified by six macro areas. Among them, Smart Mobility promotes the connection between vehicles and road infrastructures and relies on cooperation by sharing relevant sensor information. However, a sensor-based approach could not be very robust, as the hardware could fail or the data analysis could provide incorrect information. This thesis deals with geographic data management (GIS) within Cooperative and Connected Automated Mobility (CCAM).