Digital Mobility Systems

The potential of this topic arises from the combination of various R&D technologies of the Fraunhofer ICT Group and application expertise in all fields of mobility. However, it is necessary to focus on these technologies, as there has not yet been any sustained penetration of the market (e.g. in the case of autonomous driving).

Market potential

• Average annual growth rate 2023-2030 for autonomous driving and assistance systems:
  • Level 2+: 43 percent
  • Level 3: 88 percent
  • Level 4: 41 percent
• Shared Mobility Europe
  • Gross volume of goods: 123 billion US dollars by 2030
• Software-defined vehicles
  • 20 billion US dollars by 2025
• Forecast number of connected 5G vehicles
  • by 2025: 8.4 million
  • by 2023: 41.7 million

Priorities

• Connect mobility players
• Sovereign mobility data spaces
• Reliable and flexible software systems, especially reliable AI for autonomous driving, flying and rail maintenance
• Traffic optimization based on quantum computing
• “Safety and security" reliability and robustness of autonomous systems

Prof. Sanaz Mostaghim

Fraunhofer Institute for Transportation and Infrastructure Systems IVI

Prof. Mario Trapp

Fraunhofer Institute for Cognitive Systems IKS

Fraunhofer ICT Group

• Fraunhofer Institutes FKIE, FOKUS, IAIS, IAO, IDMT, IESE, IIS, IKS,  IOSB, IVI, ITWM

Other Fraunhofer contributors

• Fraunhofer Transport Alliance
• Fraunhofer Institutes IML, HHI

• Connect mobility players
  • Teleoperated driving
  • Digital urban platforms
  • “First mile” test field
  • Digitalization, quality assurance and certification within the railroad system
• Sovereign mobility data spaces
  • MYDATA Control Technologies software product
  • Catena-X compatible location data warehouse
  • Notification system for batch and real-time operation
  • Reference model for data governance
• Reliable, flexible software systems
  • AI protection
  • Uncertainty wrapper framework
  • Resilient architectures, e.g. for dynamic risk management, real-time reconfiguration
  • Overall system simulation and computing clusters
• Quantum computing-supported traffic optimization
  • Access to quantum computers in the “Quantum & AI Experience Center”
  • Training and further education formats