The deployEMDS project continues to demonstrate its impact across Europe, with the Flanders use case in Belgium providing a particularly clear example of its progress. The region’s implementation site has not only advanced the way mobility data is shared and used but also enabled commercial innovation that is being publicly recognised. 

Gader, developed independently by the private company Movias, is an AI assistant that makes traffic measurement data accessible through a natural-language chat interface. It is built on the Flanders Traffic Measurements Data Space created under the deployEMDS use case. Gader stands as a full commercial product, capable of bringing together traffic measurements from all over Flanders and making them queryable through a Large Language Model. It serves as an excellent example of how data spaces can enable new types of value creation. 

This innovation has been recognised twice in Belgium. Gader recently won the Smart Mobility Award, and shortly thereafter, the Geospatial Award 2025 in the “Best Project” category. As Movias highlighted when announcing the win, this achievement was possible thanks to the solid data infrastructure and collaboration established through deployEMDS, Digitaal Vlaanderen, data partners, and clients across the region. 

The Flanders implementation site has also been active in sharing these achievements and insights with the broader mobility and data ecosystem. deployEMDS was represented at the first Belgian NAP User Day in Brussels, providing a platform to discuss the future of transport data access. Recently, the project was also featured at the ITS.be Congress 2025, where data and AI were at the center of discussions. Steven Logghe, representing the deployEMDS Flanders use case, moderated a session on the future of connected mobility, highlighting how data spaces and AI can contribute to safer and smarter transport systems. 

Beyond the Gader chat interface, as part of the deployEMDS use case, Flanders partners imec and Digitaal Vlaanderen are also exploring the potential of transfer learning with an AI model trained on data in the Flanders traffic measurement data space. In the future, the model could be transferred to another region, supporting analysis and prediction even where local data is limited. Using Model Context Protocol, external sources, such as weather data and holiday calendars could also be connected to the regional traffic measurement data space, further enriching the model’s insights. These efforts not only demonstrate what deployEMDS enables today but also suggest new cross-border use cases that could be explored. 

Looking ahead, work continues on refining these tools and strengthening technical foundations. What is already clear is that deployEMDS is enabling more than data exchange; it is opening the door to innovative services, better decision-making, and new value chains for mobility. The progress in Flanders shows how far this approach can go: from early experiments to award-winning products now shaping the future of transport intelligence. 

On November 28, 2025, deployEMDS hosted a workshop on two of the project’s transversal use cases following the POLIS Conference 2025 in Utrecht, the Netherlands. The session gathered city representatives, mobility authorities, data experts, and private operators—especially members of deployEMDS’ Network of Follower Cities and Regions and Innovation and Scaling Group. Workshop attendees discussed how a data space can support better mobility planning and more effective sharing of urban mobility data.     

The deployEMDS transversal use cases   

In addition to the project’s 16 use cases across nine implementation sites, deployEMDS is developing transversal use cases. These aim to address common mobility challenges through data-driven scenarios that are replicable across diverse geographic contexts and involve a range of stakeholders, such as public authorities, private-sector organisations, technology providers, and end-users. ​ 

Three such use cases are currently exploring how a data space can tackle key mobility challenges:  

• Processing Urban Mobility Indicators (UMIs)  

• Addressing fragmentation in electric vehicle (EV) charging data  

• Enabling integrated ticketing  

The workshop focused on the UMIs and EV charging use cases.  

UMI transversal use case  

The UMIs are a set of metrics established by the European Commission to support urban nodes in monitoring the implementation of Sustainable Urban Mobility Plans (SUMPs) and tracking progress toward the priorities outlined in the Trans-European Transport Network Regulation (further details available here). These indicators are designed to evaluate the sustainability, safety, and accessibility of transport systems within urban nodes.  

During the discussion, participants were invited to assess their current capacity to process UMIs and explore how a data space could facilitate the collection and analysis of the required data. The conversation yielded valuable insights into data collection and aggregation, highlighting the distinctions between city-level and national-level approaches.  

Overall, participants agreed that a data space approach could enhance the processing of these indicators. For instance, a detailed data catalogue could clarify data availability and granularity, while comprehensive metadata could help establish common definitions for the data required to calculate the indicators.  

EV charging transversal use case   

The EV ecosystem often faces the challenge of fragmented and siloed data across its diverse, often private sector stakeholders, such as EV charging operators, mobility service providers, energy grid managers, and local authorities. 

A dedicated segment of the workshop focused on deployEMDS’ EV charging transversal use case. The discussion examined the added value of mobility data spaces and the potential of European-wide mobility data exchange, which could complement traditional National Access Points (NAPs).  

Insights from Île-de-France on EV charging data 

Contributors to the deployEMDS Île-de-France use case observe growing interest from public transport authorities in accessing EV charging data. While charger locations are widely available, some data (such as real-time availability) remains limited. The vision is to integrate EV charging with public transport to support regional mobility goals, such as placing chargers at train stations to reduce car traffic. This is especially relevant in car-dependent regions like Paris, where companies also want to support employees and fleet electrification. Data related to EV charging, such as real-time availability information, is mainly held by private actors and costly to maintain. This creates a strong case for mobility data spaces, which can combine open and private data. 

EU-wide sharing of EV charging data 

In Utrecht, participants explored how EU-wide sharing of EV charging data could create value and what conditions would be required. For private actors, benefits could include better customer acquisition through increased visibility and service integration, and improved forecasting for future charging infrastructure. At EU level, a common European mobility data space could enable seamless cross-border access to EV charging information, strengthen the European EV ecosystem, boost competitiveness through cooperation between Member States, as well as increase user confidence and EV uptake. 

Participants brainstormed that key conditions for EU-wide data exchange would need to include, among other elements, agreed standards for sharing core data types—such as near-real-time availability—and trusted mechanisms that enable the secure exchange of sensitive data. 

What’s next

The workshop demonstrated strong interest from stakeholders in shaping both the UMI and EV charging transversal use cases. The feedback collected in Utrecht will guide deployEMDS in refining the scope of the use cases and practical steps to advance the next phase of development.