Practical example and current challenges
- In densely populated urban areas, automotive mobility is increasingly reaching its limits. Especially in large cities like Berlin, parking spaces are becoming scarcer, traffic jams and commuting times are becoming longer while air pollution and road accidents are on the rise.
- Intermodal mobility, the combination of alternative modes of transport, and vehicle pooling all offer potential solutions. However, they require the ability to access and share business and end customer data. Therefore, ensuring and safeguarding data sovereignty is a key requirement. Currently, concerns about the loss of personal data severely prevent or limit such intermodal mobility approaches.
- For intermodal mobility solutions to work, providers must exchange various data for different process steps both with each other and with customers. In particular, the cross-provider provision of (sensitive, as in part personal) mobility data must be guaranteed via a secure and trustworthy data exchange in which the use of data is controlled and regulated by the recipient.
- Furthermore, large data pools for AI applications need to be created, including horizontal data pools, vertical data pools, and data enhancement through data fusion.
- Within the framework of the ‘Mobility’ project, existing telecommunications and mobility data will be used to simulate and estimate travel times for a combination of modes of transport in Berlin. The project is set to be launched this year. In 2021, a ‘demonstrator’ will be introduced.
What added value does the "GAIA-X project" offer?
- In the mobility sector, GAIA-X can help to safeguard data sovereignty and create the necessary framework for the implementation of alternative mobility concepts (e.g. intermodal mobility that relies on the combination of different means and modes of transport). The framework includes safe data transfer and data sovereignty as the foundation for new business models.
- To ensure data exchange with controlled and regulated data use, GAIA-X can for example be used to complement existing architecture solutions of the International Data Space with components from selected Fraunhofer Institutes.
- The project facilitates the use of individual files for data-based calculations or estimates of travel times and combinations of means of transport. As the application evolves, further data sets will be integrated to achieve scaling.
Use Case Team
- Andreas Eisenreich – T-Systems