A Framework for Dynamic Trustworthiness Assessment in Cooperative and Automated Vehicles

Connected and Automated Vehicles are expected to make critical decisions based on data from external sources, yet current approaches to security and safety do not address a fundamental question: How much can the content of this data be trusted?

This White Paper tackles this largely unsolved problem by introducing a dynamic trust assessment framework centred on Actual Trustworthiness Level and Required Trustworthiness Level – metrics that quantify the residual uncertainty about whether external data or system behavior can be trusted based on available evidence and how much trust is needed to meet the operational and safety requirements of the current context. This methodology is intentionally designed to be generic, allowing for different implementations that adapt to evolving operational and organizational contexts. A detailed Automated Emergency Braking use case illustrates how the methodology can be instantiated in a real-world scenario.

The Paper concludes by identifying open standardization gaps and proposing directions for future harmonization of trust assessment in cooperative and connected mobility ecosystems.

Read and download the full White Paper here.