Mobilitätsplattform – Reallabor Hamburg

Data Interaction
and Sovereignty

Key Question

How to enable the seamless integration of all mobility options in one application to create new and better travel options for citizens?

Objective

A planning app for door-to-door travel between Hamburg and Berlin will be realized as a demonstrator using the IDS / GAIA-X data sovereignty standard. This IDS based data space creates advantages for all stakeholders. Citizens benefit from improved travel options, mobility providers from new business opportunities.

Starting Point

For intermodal travel to be successful, a seamless integration of all mobility options in one user application is crucial. This requires data interoperability and data sharing between multiple platforms and mobility providers, who have been so far reluctant to share their data, sometimes for fear of competitive disadvantages.

Approach

The creation of a Mobility Data Space (MDS) enables the exchange of data between different actors while ensuring data sovereignty, the right to have control over one’s data. The International Data Spaces (IDS) standard, DIN SPEC 27070, is used for this purpose. As a result, similar to the telephone network, a network for secure n:n data exchange is created among authorised participants who commit to a certain membership conduct. It will include the following components:

  1. A demonstrator with user interface for an intermodal travel planning application or widget as a plug-and-play module for existing provider apps (B2B).
  2. An IDS-based data link layer as a prototypical mobility data space.
  3. New value-added data services to link the app with the data space.

Process

Business Model Variants
Business model variants will be developed and compared in order to be able to develop the demonstrator envisaged in the project into a marketable product in a timely manner after the end of the project. The development is carried out in 2 iterations.
Milestone 2: Design of Application (App) with Connection Layer
Via the connection layer, existing mobility services are interconnected to allow for the orchestration of better offerings. The design will be compliant with GAIA-X and IDSA principles in order to develop a mobility solution that can scale nationwide or even pan-European.
Milestone 3: Extension of the Connectivity Layer for Mobility
Adapt and complement the IDS approach to take into account the specific requirements of the mobility sector, including local public transport, micro-mobility services such as e-scooters as well as on-demand / autonomous shuttles.
Milestone 4: Advanced Smart Mobility Demonstrator
The results are realized as a demonstrator for proof of concept. It will feature a graphical user interface for consumers to allow for limited intermodal trip planning interaction in order to make the benefits of IDS technology more accessible.
April 2021 (1st iteration), October 2021 (2nd iteration)
May 2021
September 2021
October 2021

Results

“Intermodal Travel” planning demonstrator as a Mobility Data Space application.

A seamless integration of all mobility options in one user application supports the modal shift away from MIT towards the creation of environmentally friendly modes of transportation. This helps to significantly reduce CO2 emissions in addition to improving individual mobility. Users benefit from a central app as an easy-to-use access point to all mobility options. This enables a convenient linking of different means of transportation. The end result is flexible and personalized mobility with the greatest possible variety of offers. Mobility providers tap into new customer groups and new business because of new offers and an expansion of service features, such as comfort options. The resulting differentiation of offers can create opportunities for higher margins and stronger customer loyalty. Providers can share their data securely and integrate it cost-effectively because of the open European standard.

Prototyp
Prototype and Demonstrator (B2C Surface)
Prototyp – Reallabor Hamburg
Demonstrator (B2B Surface)

The Team

Prof. Dr. Chris Schlueter Langdon

Deutsche Telekom IoT

Dr. Gadi Lenz

Urban Software Institute GmbH, Chief Scientist

Stephan Borgert

Urban Software Institute GmbH, Research Coordinator

Project Partner