CoSMoS 2022 - 3 questions for Birgit Heinke, acatech
With our small series "Three questions to ..." we interview selected personalities on various topics. The questions pick up, among other things, topics that are discussed by the interviewees in the form of keynote speeches or other activities in the context of events of Bayern Innovativ . Today we direct our short interview to Ms. Birgit Heinke, Scientific Officer Data Space Mobility, acatech - German Academy of Science and Engineering, who is featured on our Conference on Smart Mobility Services (CoSMoS) on March 10, 2022 in Ingolstadt on "Mobility Dataspace - the platform for datasharing for the implementation of smart mobility services."
The new decentralized way of sovereign data exchange is a basis for efficient, ecologically sustainable and safe mobility solutions.
Birgit Heinke Scientific Advisor Mobility Dataspace, acatech – National Academy of Science and Engineering
Smart data and artificial intelligence
Dear Ms. Heinke, smart data and artificial intelligence offer enormous potential for future mobility applications - In which areas do you see particularly many advantages ?
Birgit Heinke: Yes, that is correct. The Mobility Data Space (MDS) or in German "Datenraum für Mobilitätsdaten" is the marketplace that makes the existing data visible and enables mobility service providers to network and trade data. It is only by using a larger amount of data, for example by combining data sets from sensors of vehicles from different manufacturers, that AI applications like Deep Learning can be applied at all.
I think that especially intermodal mobility , i.e. the combination of multiple modes of transport, offers enormous potential. It would be great if I could find and book the fastest or cheapest option for a trip using multiple modes of transportation without using countless apps! And this could be done beyond the boundaries of a transport association, state or Germany - ideally taking into account real-time data, such as demonstrations or sporting events. In this way, one could generate a journey time information that takes into account public transport information including parking availability and park & ride.
Data spaces and the implementation of mobility services
You deal with data spaces and the implementation of mobility services. Can you briefly describe why data platforms can contribute to more efficient, safer and sustainable mobility? Birgit Heinke: The Mobility Data Space (MDS) makes data offerings visible and offers all participants in the community the opportunity to make them available to other participants on their own terms. It is up to the participants to whom they pass on their data. This new decentralized way of sovereign data sharing is a basis for efficient, ecologically sustainable and secure solutions. I will explain some of these in more detail at CoSMoS .
National Mobility Data Platform
Why is it important to create a national mobility data platform in general? And what does it look like in terms of data protection - keyword DSGVO? Birgit Heinke: The Mobility Data Space is intended to network private and public providers and demanders of a wide variety of data - from weather data to geodata to sensor data from vehicles. This is in addition to the mobility data marketplace, where a rich database is already available today. Through the decentralized approach of the Mobility Data Space, where the data resides with the participants and is not stored centrally at any time, we meet the requirements of the GDPR.
Thank you, Ms. Heinke and see you soon in Ingolstadt!
Event note: CoSMoS 2022 I March 10, 2022 I Ingolstadt
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Intelligent data and, above all, AI-based solutions have the potential to make mobility more efficient, more sustainable and, above all, safer. From multimodal traffic control and intelligent mobility platforms to traffic optimization of highly complex traffic flows, there is a wide range of application areas. Users, companies and municipalities alike benefit from smart, networked transport services. This also includes a further increase in the intermodality of individual routes. A balanced modal split between motorized individual transport, public transport and smart solutions as well as micromobility offers combined with digital, AI-based platforms contribute to a resilient and convenient overall system.