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.
On 10 March, the AI4CCAM team had the pleasure of engaging in an exchange with the Mobility Innovation Alliance Japan and Intelligent Transport Systems (ITS) Japan, bringing together experts from Europe and Japan to discuss current research and future collaboration opportunities in AI-powered mobility systems.
The discussion was led by Karla Quintero (IRTSX), who presented the project’s vision and key activities, and led a fruitful discussion on trustworthy AI, research collaboration, and future synergies between the European and Japanese mobility innovation ecosystems. She was joined by Bastien Brugger (Akkodis), who shared insights into AI models and the Digital Twin developed within the project, alongside other representatives of the AI4CCAM consortium.
We would like to extend our sincere thanks to Takahiko Uchimura for facilitating this exchange and for bringing together members of the Japanese mobility innovation community and look forward to continuing this dialogue and exploring future opportunities for collaboration between our communities.
On 26 February, Arnaud Gotlieb, Simula Research Lab and project coordinator, will present AI4CCAM and its results to the SAC Expert Group of the CLEPA.
CLEPA (the European Association of Automotive Suppliers) represents over 3,000 companies in the automotive supply industry, advocating for sustainable, innovative, and competitive mobility solutions.
The EU Road Safety Cluster, also involving AI4CCAM among other EU projects, launched its new joint paper on road safety data: Advancing Road Safety Through Data: Challenges, Solutions, and Policy Insights from EU Road Safety Projects.
Bringing together challenges, solutions and policy insights from eleven EU-funded projects, this collaborative effort was initiated by the Phoebe Project.
The paper brings together lessons from eleven EU-funded projects and addresses a shared challenge: how to turn diverse and fragmented road safety data into integrated, predictive and policy-ready insights.
On behalf of AI4CCAM, the paper was co-authored by Karla Quintero, IRT-SystemX, on simulation and VR experiments to model (among others) pedestrian behaviour; and the training data that strongly affects the reliability of the AI models.
Download and read the full paper!
CCAMbassador (Connected, Cooperative and Automated MoBility Assessment & Stakeholder Dedicated and Operational awareness Raising) project is the new EC-funded Support and Coordination Action of the CCAM Partnership in accelerating the deployment of Connected, Cooperative and Automated Mobility (CCAM) across Europe.
The CCAMbassador consortium invited (ongoing and completed) CCAM project representatives attending the RTR 2026 Conference to a half-day workshop on 9 February before the conference starts.
Karla Quintero, IRT SystemX, represented AI4CCAM bringing the trustworthiness angle around artificial intelligence used in CCAM systems and shared experience around the methodology for trustworthy AI engineering, as well as results from the implemented use cases, VR experimentations, and neuroscience-based models, among other findings.
The purpose of the workshop was to exchange knowledge and insights with a focus on practical approaches, tools, and solutions implemented within CCAM projects to raise awareness, build capacity, and support readiness for CCAM piloting and future deployment. Participants shared insights, learnings, best practices, challenges from their project activities and experience, to inform the development of CCAMbassador’s common framework for CCAM awareness and capacity assessment.
Going on its 9th edition 10-12 February, in Brussels, the RTR Conference is a unique entry point into the achievements of EU-funded projects in road transport, and AI4CCAM will be there!
Once again this year, participants will learn about EU-funded and Horizon Europe projects’ results and expected impacts, and what the next research steps are in essential areas for road transport: Green Vehicles, Urban Mobility, Logistics, Intelligent Transport Systems, Safety, Automated Road Transport, Batteries.
The conference will deliver a holistic view of how the European research scene is moving forward in these fields, bringing benefits to the environment, economy, and European society overall.
On 12 February, Arnaud Gotlieb, AI4CCAM project coordinator, will be presenting the main project results during the session focused on Trustworthy CCAM, including AI.
Learn more on the event and join!
The AI4CCAM Participatory Space continues its work on the creation of a glossary of capital and common terms used in the project.
This participatory process is aimed to create a glossary of terms with the involvement of different CCAM stakeholders. The process consists of proposals of terms to be included along their definitions. Later on, discussions about the correctness of these definitions take place and a final survey to decide the best option is performed. Results are monitored and agreed definitions are incorporated to a document that represents the glossary.
This is the second release of terms and definitions related to Security and Robustness. Participants will be asked to share feedback on the correctness and understandability of the proposed definitions.
Let’s focus on:
- AI accuracy
- Scalability
- Technical interoperability
The AI4CCAM consortium continues to work closely towards delivering innovative AI solutions in CCAM. During AKKODIS’ internal workshop, partners exchanged insights on GSGFormer and Pollux, two of the key technological developments driving the project results forward.
“Pauses Techniques” are weekly webinars internal to Akkodis, where projects are presented from the Akkodis Research department to the rest of the company.
Pavan Vasishta and Bastien Brugger presented focusing on some key questions:
- What is AI4CCAM and its objective?
- What is “trustworthy AI” and why is it crucial?
- What are the roles of GSGFormer and Pollux?
GSGFormer is an AI developed by Akkodis to predict pedestrian trajectories in dense urban areas via an aerial view. While Pollux is a digital twin capable of building a virtual replica of any city and integrating trajectories captured in virtual reality.
Stay tuned for more achievements from the AI4CCAM !
AI4CCAM was selected as a project in the spotlight on the CCAM Association website!
In the evolving landscape of connected and automated mobility, artificial intelligence (AI) plays a decisive role in shaping the future of transportation. Yet, as vehicles become smarter, questions of trust, transparency, and ethics come to the forefront.
The CCAM Association article explains how AI4CCAM addresses these challenges head-on, developing trustworthy and explainable AI models designed to make roads safer for everyone, especially Vulnerable Road Users (VRUs) such as pedestrians and cyclists.
The article focuses on:
- the challenge of Trustworthy AI
- the project Dual Approach to Trustworthiness
- the Participatory Space
- breakthrough Results such as a suite of innovative AI models addressing critical CCAM needs.
