Sustainable and intelligent mobility systems

Sustainable and intelligent mobility systems and the intelligent infrastructure they contain play a central role both in meeting climate targets and in automated driving. An important component of the AI mobility node is therefore research into sustainable and intelligent mobility systems and intelligent infrastructure. The aim of this topic area is to use data analysis and AI methods for the design and control of mobility systems. Research topics include:

•     Analysis of mobility behavior and traffic and evidence-based urban development, infrastructure planning and traffic control
•     Development of AI algorithms for intelligent traffic control, e.g. at traffic lights
•     Integration and orchestration of different forms of mobility
  • Orchestration of automated and non-automated traffic
  • Integration of sustainable forms of mobility such as VRUs and public transport
•     Development of concepts for integrated and sustainable mobility ecosystems
  • Synchronization of physical mobility and digital mobility platforms
  • Analysis of requirements and development of sustainable mobility hubs
•     Role of infrastructure, in particular infrastructure sensors and communication, for the development and testing of automated mobility and traffic control

The research is carried out in close cooperation with the other subject areas of the AI Mobility Node as well as with the THI Institute Carissma, the Fraunhofer Application Center "Networked Mobility and Infrastructure" in Ingolstadt, the IFG and the city of Ingolstadt as well as various scientific partners and industrial partners.