WG 5: Mobility and Intelligent Transport Systems
Transport modes on land, in water and in the air are reaching higher and higher degrees of automation. Vehicles, roadway and rail systems are well networked. When used intelligently, cars equipped with AI-based assistance systems can increase traffic safety, optimise traffic flows and reduce pollutant emissions. Automated trains can run on rail routes more efficiently. Self-learning systems make the entire mobility system more resilient. But new challenges have to be met in this new digital world, such as the configuration of a proper man-machine interface and the safety use of AI-applications.
Topics and organisation of the Working Group
The working group compiles design options for intelligent mobility systems. This includes technological solutions and infrastructures, security and safety-related questions, as well as legal requirements.
Members of the Working Group
- Prof. Dr.-Ing. Albert Albers
- Karlsruhe Institute of Technology (KIT) - IPEK
- Corina Apachiţe
- Continental Teves AG & Co. OHG
- Prof. Dr.-Ing. Fabian Behrendt
- Fraunhofer IFF, Magdeburg-Stendal University of Applied Sciences
- Paul Beyer
- FSD Fahrzeugsystemdaten GmbH
- Prof. Dr.-Ing. Stefanos Fasoulas
- University of Stuttgart
- Dr. Rudolf Felix
- PSI AG
- Prof. Dr.-Ing. Axel Hahn
- German Aerospace Center (DLR)
- Prof. Dr.-Ing. Silja Hoffmann
- Universität der Bundeswehr München
- Dr. -Ing. Sören Kerner
- Fraunhofer Institute for Material Flow and Logistics
- Dr. Remo Lachmann
- IAV GmbH
- Dr. Michael Pfeiffer
- Bosch Center for Artificial Intelligence
- Dr.-Ing. Ilja Radusch
- Fraunhofer FOKUS / Daimler Center for Automotive IT Innovations
- Dr. Peter Schlicht
- CARIAD SE
- Prof. Dr. Anita Schöbel
- Fraunhofer ITWM , TU Kaiserslautern
- Eva Schweitzer
- The Federal Office for Building and Regional Planning
- Dr. Anatoly Sherman
- SICK AG
- Prof. Dr.-Ing. Philipp Slusallek
- German Research Center for Artificial Intelligence (DFKI)
- Dr. Stefan Voget
- Continental AG
- Dr. Kerstin Wendt
- Synectic Systems GmbH
- Prof. Dr.-Ing. J. Marius Zöllner
- Karlsruhe Institute of Technology (KIT)
We have received written consent from the listed persons for the publication of their data in accordance with the DSGVO. This list of members is an excerpt and will be completed continuously.
Key Questions for the Working Group
- How does our mobility structure change when it comes to self-learning systems?
- Which characteristics are necessary to have the most beneficial usage for individual users and the society as a whole?
- How do infrastructure and systems structures within the mobility sector have to be further developed to adequately integrate self-learning systems?
- What is the most optimal relation between individual and local intelligence towards central control?
- How can self-learning systems be secured and tested in the mobility sector?
- Which knowledge representation is necessary (e.g. for knowledge exchange or control)?
Results and contributions of the Working Group
A comprehensive overview of all results and contributions of the working group available in German can be found here.
Publications
Scenarios
Expertise
Videos (German)
- AI versus Corona: How Artificial Intelligence makes logistics more resilient
3 Questions for Sören Kerner/June 2020
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Coordination of the Working Group at the Managing Office: Lennart Schultz