At the RTR 2025 Conference, the BERTHA project contributed to the dialogue on human-centric connected, cooperative and automated mobility (CCAM) and driver safety during Parallel Session 13.

Presented by José Solaz, BERTHA showcased its work on a probabilistic behavioural model designed to replicate human driving behaviour. Unlike broader frameworks, BERTHA focuses on a single, adaptable model that can be applied across five defined use cases. The model is being developed using insights from a survey of 4,700 drivers, leading to the identification of eight distinct driving behaviour archetypes.

Key contributions presented by BERTHA included:

• A pilot release of the behavioural model for early testing and validation.
• Integration of personal and situational influencing factors into the model.
• Plans to deploy the model on an open simulation platform for industry-wide use.

José Solaz also stressed the importance of engaging standardisation bodies and Euro NCAP early in the process to ensure that BERTHA’s outcomes can inform future virtual testing protocols for automated vehicles in mixed traffic environments.

By focusing on realistic human behaviour modelling, BERTHA supports the development of safer, more predictable automated driving systems. The project is funded under the Horizon Europe programme and contributes to the goals of the CCAM Partnership.

The full RTR 2025 Summary Report is available here.