The Gaia-X 4 Advanced Mobility Services (Gaia-X 4 AMS) project shows how Gaia-X can be used to implement the mobility services required for autonomous driving and which components need to be realised in Gaia-X for this purpose.
Automated driving will become more important in Europe in the future, but according to the current state of technology, it is only possible within certain application limits, compliance with which must be continuously monitored and ensured. In order to enable widespread use in the future, a wide range of data on the current road and traffic situation is required, as well as solutions for special situations, e.g. deployment of emergency services. A key prerequisite for this is that the data used is transmitted securely, robustly and reliably and comes from trustworthy sources. Gaia-X offers an ideal starting point for this, as it enables trustworthy, decentralised data ecosystems.
As part of the Gaia-X 4 AMS project, a Gaia-X-compliant mobility service is being developed that provides an ODD-compatible route for the journey depending on the vehicle's own automation limits and current conditions in the real world (e.g. road conditions and traffic situation). Information from the automated vehicle, intelligent infrastructure and mobile camera sensors, among other things, is used for routing. The aim here is to adapt the suggested route if necessary – even during the journey – so that the journey can be automated by the vehicle over as much of the route as possible and with the greatest possible probability. This service plays a particularly important role in higher levels of automation, where drivers do not have to constantly monitor the system and can therefore pursue other activities. The mobility service is being developed and prototypically demonstrated in the project.
Creation of ODD-compliant routes using Gaia-X-compliant mobility services.
On the other hand, Gaia-X 4 AMS focusses on special situations that occur during firefighting operations. The project is developing a networked rescue corridor. This increases safety when driving to the scene of an emergency by automatically forming rescue lanes, sending warning messages to road users and prioritising the emergency services at signalised junctions. In addition, the emergency services are supported by live images from a drone during the initial investigation of the scene. The project integrates existing individual solutions and develops and demonstrates prototypes of the required services using the Gaia-X ecosystem.
Automated formation of a rescue lane supports the emergency services when travelling to the scene.
The Gaia-X 4 AMS project is gathering practical experience in the utilisation of Gaia-X for mobility applications. The project results primarily support automated driving by integrating numerous external data sources in order to make it more robust and to be able to react appropriately in special situations. In addition, the project generally networks various stakeholders such as emergency services, mobility service providers and public institutions in a shared prototype data space. Gaia-X 4 AMS thus lays the foundation for the data originally provided in the data room for other purposes, e.g. from drone cameras, infrastructure and vehicle sensors, to be used for the development of further services in the future. For example, environmental authorities could use measurement data for environmental monitoring and land registry offices could utilise aerial images or improve traffic management by providing information on fire brigade operations. The provision and networking of diverse data sets is the basis for further technological and economic innovations in the field of mobility.
The Gaia-X 4 AMS project – Gaia-X for safe autonomous driving and improved rescue mobility
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The Gaia-X 4 AMS project – Gaia-X for safe autonomous driving and improved rescue mobility
