NeMo.bil: Mobility from the first to the last mile
The BMWK-funded project NeMo.bil is developing a system of cooperating vehicles for sustainable, individualised public transport under the consortium leadership of INYO Mobility. The project aims to improve mobility in rural areas. For this purpose, a swarm-based transport solution is being developed, which enables demand-oriented passenger and goods transport. In particular, the first and last mile will be covered. Citizens can submit their mobility wishes via app, which are collected and coordinated via an IT platform.
NeMo.bil had its official kick-off on 17.08.2023. Marcus Zwick (INYO) and Ernst Stöckl-Pukall (BMWK) welcomed more than 60 project staff and guests in Paderborn. In a keynote speech, Prof. Frank Köster, sponsor of the mobility domain in the Gaia-X Hub Germany, and Prof. Achim Rettberg from Hamm-Lippstadt University of Applied Sciences emphasised the particular relevance of the Gaia-X digital ecosystem, the principles of which are also taken into account at various points in NeMo-bil: Additional data can flow in via Gaia-X-compliant interfaces, which contribute to optimising the deployment control and provision of the vehicles. This can be, for example, road condition information in addition to traffic, weather or event information. In concrete terms, this means that if a major event such as a football match is taking place, vehicles could already be ready near the stadium at the scheduled end of the match. These vehicles already know the best routes for their passengers and bring them comfortably and efficiently to their respective destinations.
The project parts of the DLR Institute for AI Security are led by Johannes Unruh. Among other things, the DLR Institute for AI Security collects data to specify the technical requirements for the platform system and contributes its experience from the Catena-X and Gaia-X 4 Future Mobility funding projects to NeMo.bil. This includes, for example, the development of trustworthy data spaces and their networking. This should make it possible to embed the results of the project in broader data and service ecosystems based on GAIA-X. It is also an important key to the scalability of the solution modules and solution presented in the project.
More information on the project: