Last modified on April 15, 2025

Launch of the Integrated CCAM Technologies Cluster

Launch of the Integrated CCAM Technologies Cluster

15 April 2025

The rapidly evolving landscape of Connected, Cooperative, and Automated Mobility (CCAM) is driving the need for deeper collaboration among European projects working towards the future of safe, intelligent, and sustainable transport systems.

Six EU-funded projects1 dedicated to advancing CCAM technologies have formed together the “Integrated CCAM Technologies Cluster” to foster synergies, knowledge exchange, and cross-project collaboration. The Integrated CCAM Technologies Cluster (iCCAMTech Cluster) aims to accelerate innovation, enhance interoperability, and maximize the impact of research. By combining expertise across artificial intelligence, digital twins, advanced sensing, cybersecurity, and infrastructure-enabled automation, the Cluster will drive a harmonized and integrated approach to the development and deployment of CCAM solutions.

The iCCAMTech Cluster is committed to enhancing cooperation between research initiatives, policymakers, industry leaders, and other stakeholders. Through joint activities, shared expertise, and coordinated dissemination, the Cluster aims to:

  • Drive interoperability between different CCAM solutions, ensuring seamless integration into future mobility systems.
  • Strengthen CCAM safety and resilience, enabling autonomous vehicles to operate reliably in complex real-world conditions.
  • Accelerate technology adoption by bridging the gap between research, industry, and policy frameworks.
  • Create standardized methodologies for AI-based decision-making, infrastructure enhancements, and digital twin integration.

Source: The original article was published here.


  1. 1. AITHENA defines a harmonized methodology for AI-based CCAM solutions across perception, situational awareness, decision-making, and traffic management. By focusing on trustworthy AI pillars such as accuracy, explainability, accountability, privacy, and ethics, AITHENA ensures that AI-driven mobility solutions can be reliable and widely accepted by users, developers, and certification bodies.

    The CONDUCTOR project is revolutionizing traffic and fleet management to ensure seamless multimodal transport of passengers and goods. By integrating dynamic balancing and priority-based management for both automated and conventional vehicles, CONDUCTOR enhances transport efficiency and interoperability, empowering transport operators to become true “conductors” of future mobility networks.

    EVENTS is tackling the challenges of CAVs operating in dynamic environments by developing resilient perception and decision-making systems. These systems can handle unexpected “events” such as adverse weather, sensor failures, unstructured road conditions, and imperfect data, ensuring that CAVs can operate safely and efficiently under diverse real-world conditions.

    FRODDO is at the forefront of safe and adaptable CCAM solutions through AI, machine learning, digital twins, and advanced sensing. The project’s federated cyber-physical infrastructure enables robust Operational Design Domain (ODD) continuity, improving traffic management and integration with physical and digital road infrastructure.

    iEXODDUS is driving innovation in digital technologies and navigation services to enhance safety, security, and sustainability in automated transport. By assessing existing ODD limitations, the project will create a framework to evaluate and categorize ODDs across various driving scenarios, ensuring a systematic approach to safer automation.

    PoDIUM is driving the transition to safer, smarter, and more efficient mobility by advancing connected, cooperative, and automated transport. By bringing together physical and digital infrastructure, the project is enabling higher levels of automation and with a focus on multi-connectivity and intelligent data management, PoDIUM is shaping the future of seamless vehicle-infrastructure communication. ↩︎