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AI4CCAM at TRA2026!
— 24 March 2026


The Transport Research Arena (TRA) is Europe’s flagship transport research and innovation conference, initiated by the European Commission and key stakeholders. It is the largest European conference of its kind, covering all transport modes and mobility aspects. As a premier forum for European transport innovation, TRA 2026 gathers academia, industry, policymakers, and civil society to shape the future of transport research. The 2026 edition, hosted in Budapest 18-21 May, will showcase European and global know‑how and put the spotlight on young researchers and next‑generation solutions.

The theme of the 2026 edition, Re-Generation in Transport, reflects a collective call for renewal in response to social, environmental, and technological challenges. It focuses on engaging the next generation of thinkers, innovators, and leaders to drive transformation toward cleaner, more efficient, and forward-looking transport systems.

On 20 May, Arnaud Gotlieb, Simula Research Lab, and project coordinator, will be presenting AI4CCAM in the special session “Responsible Artificial Intelligence in Transportation Research and Education”: the TRA2026 is committed to shaping a “Re-Generation in Transport” that’s both innovative and inherently responsible. A cornerstone of this vision is ensuring Artificial Intelligence drives positive change without unintended harm. This session explores the critical ethical, legislative and societal implications of Artificial Intelligence in transportation. It will address how researchers can ensure AI development is fair, transparent, and safe, mitigating biases and promoting human oversight. The session will also cover integrating Responsible AI principles into transportation education, equipping future professionals to navigate complex AI challenges and leverage its potential for a more sustainable and equitable future of mobility. Discussions will highlight best practices, emerging standards, and collaborative approaches for fostering trust and accountability in AI-driven transport systems.

Learn more about the event


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