Datacentric solutions for future mobility
GAIA-X 4 KIArtificial intelligence (AI – Künstliche Intelligenz; KI) is key to the development of complex technical systems. This applies to innovative mobility solutions. For AI to be applied successfully, appropriate data, services and IT resources need to be widely available. Combining AI and GAIA-X in one project enables insights into the applicability of GAIA-X, reveals technical requirements and thus aids further development. In terms of applications, it combines automated and networked driving with industrial manufacturing. Industrial application goals include the standardisation of production quality and the development of AI algorithms that are transferrable and can be improved on a continuous basis. Research into automated and networked driving also involves cloud-based monitoring of vehicle condition and safety, and the use of distributed systems to continuously update automated features during operation. By linking the fields of application, the project partners are developing building blocks for data circulation over the entire product lifecycle. GAIA-X 4 KI provides vital impetus for the automotive industry. Integrated databases, standardised interfaces and comprehensive services are all being created as part of the project. Active linking with other data spaces within the mobility domain allows the findings from the project to also be applied in other areas. GAIA-X 4 KI is led by the DLR Institute of Transportation Systems. |
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GAIA-X 4 AMS – Advanced Mobility ServicesNetworking of data services from different domains also offers great opportunities for future traffic applications with GAIA-X 4 AMS. Networking different participants in transport systems can contribute to an increase safety and comfort, while also reducing emissions. The goal of the GAIA-X 4 AMS project is to develop an open and transparent digital data ecosystem that makes both data and data services available in a GAIA-X Mobility Data Space for transport applications. The project is trialling this using two realistic scenarios. The first relates to a highly automated vehicle that is able to determine independently whether the current driving conditions are satisfactory for automated driving. To do this, the vehicle requires information about the current situation and its own condition to ensure safe operation. The second scenario addresses the creation of a prototypical networked and safe rescue lane. For this purpose, dynamic information from the traffic system, the planning of a rescue lane and the prioritisation of rescue vehicles at traffic lights are combined. The idea is that the automated vehicles coordinate the formation of an emergency lane. The project is also intended to show that vehicle technology applications can be pursued in GAIA-X under the existing legal framework. Researchers are also laying the groundwork for using GAIA-X in the automotive industry, thereby enabling the emergence of new business models. GAIA-X 4 AMS is led by T-Systems GmbH. |
GAIA-X 4 ROMS – support and remote operation of automated and networked mobility servicesNew mobility solutions should facilitate the transport of people and freight, while taking account of the need for climate protection. In addition to decarbonisation, such approaches include improving public transport and shared mobility services, so that total vehicle traffic is significantly reduced. According to the project partners, vehicle concepts for passenger and freight transport will mostly have electric powertrains and a high degree of automation. GAIA-X 4 ROMS is laying the foundations for the integration of innovative vehicles into the overall system. The project partners are now developing the first specific technology modules to implement vehicle-based mobility concepts for passengers and freight, and presenting them within the GAIA-X community. The results will enable both centralised and decentralised management of large fleets and their operations in cities and regions. Innovative distributed processes will take account of the requirements of travellers and commercial users, as well as ensuring that the vehicles can be operated economically. New concepts can be incorporated, such as an autonomously navigating parcel stations for accepting and delivering packages and needs-based local public transport options. Remote operation is available when automated vehicles reach their system limits. This distributed approach to the system architecture enables the necessary cooperation between different stakeholders. Overall, it allows the creation of a system that facilitates mobility, reacts flexibly to the specific needs of users and protects the climate at the same time. GAIA-X 4 ROMS is managed by Arvato Systems GmbH. |
GAIA-X 4 PLC-AAD – product lifecycle across automated drivingGAIA-X 4 PLC-AAD is dedicated to the development and construction of an Open Distributed Data Ecosystem (ODDE) in the automated driving environment. This ecosystem is important for product development, manufacturing and exchange of information about the system based on digital twins. GAIA-X 4 PLC-AAD also covers aspects of the development and operation of automated driving functions. Integrating digital twins into the GAIA-X ecosystem is an important part of this work. Suitable information models, data architectures and the associated processes and roles are currently being developed. Putting automated and networked driving into everyday use is a complex endeavour. It begins with development and goes all the way through to production, the product lifecycle, verification and maintenance. GAIA-X 4 PLC-AAD focuses on a specific section of this sequence to show that the entire chain can be represented. To do this, test fields, test environments and means for integrating the system into GAIA-X must be created for the entire lifecycle. These applications can also be used in other areas via interfaces. GAIA-X 4 PLC-AAD is managed by msg systems AG. |
GAIA-X 4 moveID (in preparation) – decentralised digital identity and data sharingPlatforms for the exchange of information between providers and customers are now available and are tailored to specific applications and groups. These platforms have proven successful at getting people engaged with the technologies. Decentralised solutions for new digital identity concepts can avoid 'lock-in' effects. With that in mind, the project partners are developing a whole-system, transparent architecture that takes data protection and security aspects into account. In addition to the technological implementation of decentralised, digital identities in road transport, the focus will also be on open access to digital services. The project partners are keen to ensure that "security and trustworthiness are maintained in a future Internet of Things (IoT)". This also has a bearing on data autonomy in a closely networked European infrastructure. Within GAIA-X, the IoT is based on decentralised, platform-independent technologies that support future mobility applications. Such technologies could counteract the currently prevailing business models of non-European providers. The use of decentralised technologies will support the GAIA-X framework in its tasks of decentralised data processing, data sovereignty and interoperability to achieve the European values of trust, privacy protection and regulatory compliance. GAIA-X 4 moveID is managed by Robert Bosch GmbH. |