CHORUS presented its progress at EEITE 2026

The Horizon Europe project CHORUS participated in the special session “AI-Driven Orchestration and Safety Engineering for Mixed-Traffic CCAM Systems” during the EEITE 2026 Conference, held in Chania, Crete, Greece.

Organised by ICCS and the I-SENSE Group, the session brought together three Horizon Europe Connected, Cooperative and Automated Mobility (CCAM) projects—CHORUS, CARMONY, and CERTAIN—to explore emerging challenges and innovations in the development of safe, intelligent, and sustainable mobility ecosystems.

The session was coordinated and moderated by Georgios Zacharopoulos (ICCS/I-SENSE Group) and focused on the role of artificial intelligence in traffic orchestration, autonomous vehicle safety validation, and predictive traffic analytics for mixed-traffic environments involving automated vehicles, conventional vehicles, and vulnerable road users.

Representing CHORUS, Christos Ballis (ICCS/I-SENSE Group) presented the paper “Orchestrating Heterogeneity: A Multi-Layer Architectural Framework for Mixed Traffic in the CHORUS CCAM Ecosystem.” The presentation introduced the project’s evolving system architecture and outlined how CHORUS is developing an integrated orchestration framework to enhance safety and operational efficiency across complex urban mobility environments.

The proposed CHORUS architecture is structured around three complementary levels:

• Traffic Management (Level 1): Strategic and tactical decision-making supported by AI-driven insights to optimise traffic performance.
• Multimodal Mobility Management (Level 2): Coordination of heterogeneous vehicle fleets, smart routing services, and on-demand mobility solutions for passengers and freight.
• Local Coordination & Management (Level 3): Real-time management of local interactions through federated clusters and V2X-enabled communication mechanisms.

As the project progresses, these components will support a range of mobility management services, including collaborative traffic management, fleet management, and user-centric mobility services.

Alongside CHORUS, the session featured presentations from the CERTAIN and CARMONY projects, covering run-time monitoring frameworks for autonomous vehicle validation and AI-based approaches for short-term traffic forecasting. The discussions highlighted the importance of integrated European research efforts in addressing the technical, regulatory, and societal dimensions of CCAM deployment.

The special session aligned closely with the broader objectives of EEITE 2026, which serves as an international platform for advancing research in artificial intelligence, intelligent transportation systems, digital infrastructure, and emerging communication technologies.

CHORUS is proud to contribute to these discussions and to support the development of scalable, safe, and trustworthy CCAM ecosystems across Europe.