FIWARE Global Summit 2026: From Transport Networks to Data-Driven Transport Ecosystems
11 September 2026 – Dr. Eusebiu Catana, SCUDO project coordinator from ERTICO – ITS Europe, was a keynote speaker at the FIWARE Global Summit 2026, that took place in Menton, France, between 09-10 September 2026.
FIWARE Global Summit 2026
The FIWARE Global Summit 2026 provided a platform to explore how open standards, interoperable data infrastructures and Data Spaces can transform the transport and logistics sector. This summit addresses the challenges and opportunities of cross-border data exchange, where mobility, logistics, infrastructure and public authorities increasingly need to operate across national and organisational boundaries.
Dr. Eusebiu Catana co-presented the session “Digital Product Passports (DPP) Across Cross-sector Traceability With FIWARE”, together with Dr. Suna Akbayir, CEO of Artech International BV & Beyond Barcode. The session focused on the role of FIWARE’s open-source technologies and Smart Data Models in providing a practical foundation for DPP-ready data flows connecting manufacturers, logistics operators, transport stakeholders and city ecosystems. It highlighted how standardised and interoperable context data can enable end-to-end traceability, support compliance with emerging EU regulation, and unlock new value across data spaces, while demonstrating the natural convergence between Smart Mobility, Smart Transport and Digital Product Passports.
In this context, the SCUDO project was presented by Dr. Catana as a practical example of these principles in action, supporting the transition from traditional transport networks towards data-driven, interconnected transport ecosystems and the future mobility data space. By enabling trusted data sharing across organizational and national boundaries, SCUDO illustrates how data spaces can help connect traditionally fragmented transport actors and create the digital foundations for more coordinated and resilient mobility and logistics.
From Transport Networks to Data-Driven Transport Ecosystems
Autonomous and connected vehicles, artificial intelligence, real-time data, robotics and increasingly automated logistics are challenging established models of how people and goods move. Vehicles are becoming data-generating and decision-making platforms; logistics is becoming increasingly automated and predictive; infrastructure is becoming intelligent; and transport operators, manufacturers, technology companies and public authorities are becoming increasingly interconnected through data.
These developments create an opportunity for a fundamentally different transport model – one in which trusted data flows across organisational, sectoral and national boundaries, enable new forms of coordination, automation and real-time decision-making.
This transformation is particularly relevant in the context of disruptions affecting European transport networks. Extreme weather events, infrastructure failures, congestion, border restrictions, labour disruptions, geopolitical developments or unexpected changes in freight demand can rapidly propagate across interconnected European transport corridors. Traditional transport systems often respond to such disruptions through fragmented information and sequential decision-making, limiting the ability of different actors to coordinate an effective response.
A data-driven transport ecosystem offers a different approach.
Data Spaces and interoperable data infrastructures, such as the SCUDO pan-European platform, can provide the digital foundation for coordinated disruption management, allowing relevant stakeholders to securely exchange trusted, real-time information while maintaining control over their data. Transport operators could share information on capacity and delays; logistics providers could communicate changes in routes and delivery requirements; infrastructure managers could provide information on network availability; and public authorities could make relevant traffic, regulatory or emergency information available to the ecosystem.
The result is not simply greater visibility of disruption, but the possibility of dynamic, cross-border coordination and re-routing. When a disruption occurs on one transport corridor, interoperable data could enable alternative routes, modes and logistics resources to be identified and coordinated across the wider network. AI and predictive analytics could further support the anticipation of bottlenecks and the optimisation of responses before disruptions propagate.
In this way, data spaces can contribute to a more resilient European transport system, where disruption is detected earlier, information is shared more efficiently, and transport flows can adapt dynamically across organisational and national boundaries.
The same foundations can support the next generation of mobility and logistics. Autonomous vehicles could operate more effectively across borders; logistics networks could become more dynamic and predictive; and transport infrastructure could respond in real time to changing conditions and demand. Digital Product Passports can further enrich these ecosystems by connecting products and their associated data to logistics and transport processes, enabling greater traceability and transparency throughout their lifecycle.
Ultimately, the convergence of interoperable data spaces, AI, connected and autonomous vehicles, intelligent infrastructure, Smart Data Models and Digital Product Passports points towards a new generation of European transport – one that is more connected, adaptive, resilient and sustainable, and better equipped to respond to the disruptions and complexity of tomorrow’s mobility and logistics landscape.
