PAVE Europe is thrilled to be part of the AIGGREGATE project, funded by the European Union.
AIGGREGATE is tackling one of the biggest challenges in automated driving: how to help vehicles truly understand the world around them. While AI has come a long way, there’s exciting potential to make automated systems even more responsive and aware in dynamic, real-world traffic.
AIGGREGATE project is developing smarter systems that don’t just “see” the traffic environment, but actually interpret it—so they can anticipate what might happen next and react in safer, more human-like ways. By combining data from vehicles, infrastructure, and road users, AIGGREGATE aims to improve automated decision-making and boost public trust in these technologies.
The three-year project brings together a diverse consortium of 14 partners from across Europe, including leading universities, research institutes, industry players, and civil society organizations. Led by Eindhoven University of Technology (TUE), the consortium is combining cutting-edge research with real-world applications. From developing AI prediction models and vehicle decision-making frameworks to integrating data from road infrastructure and sensors, each partner contributes a piece of the puzzle needed to make CCAM systems more adaptive, transparent, and safe.
PAVE Europe’s role is to ensure that this next generation of mobility is not only smarter, but also inclusive, transparent, and grounded in public values. Through stakeholder engagement, public outreach, and clear communication, we’re helping build trust from the ground up.
With AIGGREGATE, we see an opportunity to rethink how automated mobility is designed—not just from a technical standpoint, but from a human one. We’re excited to support this important work and to share the project’s journey with you.
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Learn more about the project by following them on LinkedIn or checking their official Website.
The AIGGREGATE project has received funding from the European Union’s Horizon Europe research and innovation programme under Grant Agreement No. 101202457. Views and opinions expressed are however those of the author(s) only and do not necessarily reflect those of the European Union or the European Climate, Infrastructure and Environment Executive Agency (CINEA). Neither the European Union nor CINEA can be held responsible for them.
