The CERTAIN project develops a comprehensive safety assurance framework (SAF) for cooperative, connected and automated mobility (CCAM) systems, emphasizing resilience, human-centric design and continuous assessment. The methodology combines real-world with virtual validations, incorporating stakeholder needs, AI trustworthiness, human-machine interactions and V2X connectivity. The framework ensures ongoing safety through in-service monitoring and reporting, including handling over-the-air updates. Multiple use cases across different vehicle types, from passenger cars to trucks, and automation levels (L2-L4), validate the approach, focusing on safety, trust, user acceptance and comfort. This holistic approach aims to facilitate safe, reliable deployment of CCAM systems with industrial and regulatory consensus.

• General overview of the project and its objectives, covering the four pillars of CCAM functions: HMI, AI, V2X and in-service monitoring and reporting
• Short description of the use cases for validation of the methodologies
• Description of a safety assurance framework concept
• HMI assessment methods description ensuring driver and vulnerable road user safety through human-centric design