Functional and Traffic Safety for Automated and Networked Mobility - Benefits for Society and Ecological Impact

Problem statement

The SAVeNoW project explores the development and commissioning of a digital twin using the example of Ingolstadt and its surroundings. The virtual model includes static elements (buildings, road space, traffic infrastructure and rules), dynamic elements (vehicles, VRUs) and environmental conditions (weather). On the basis of the developed digital twin, interdisciplinary questions can be investigated, focusing on the domain of functional and traffic safety for automated and connected driving.


Project objective

The goal of SAVeNoW is to research, develop and test the digital twin through two interlocking control loops (see figure). The digital test field represents the real city, which is transferred into a virtual image by means of surveys, fleet data and IoT sensor technology. This virtual test field can be used for analyses and simulation applications that support the derivation of measures for reality. The Chair of Geoinformatics is particularly involved in building the cloud architecture, implementing "what-if" scenarios by cloning the digital twin, building a catalog service, and data model extension for simulating sensor data streams. In addition, a spatial discussion platform for citizen participation is being investigated for societal dialogue.



SAVeNoW is structured into the following five work packages:

  • GBTF: Social participation and accompanying questions
  • VTF: Virtual TestField
  • DTF: Digital TestField
  • MSA: Model Structuring and Architecture
  • SWM: Simulation and impact analysis of measures

Tasks 3D Mapping Solutions

  • High-precision traffic area detection with adapted measurement technology from Ingolstadt.
  • Creation of HD maps based on OpenDRIVE.

Project duration
2021 – 2023

Project website