GOOD PRACTICE #1 | BERTHA joins forces with sister projects to advance human‑centric CCAM

On 21 October 2025, the BERTHA consortium took part in a joint workshop hosted by the HIDDEN project alongside i4Driving, AIthena and AI4CCAM. The session focused on human‑centric approaches to Connected, Cooperative and Automated Mobility (CCAM), with particular emphasis on behavioural modelling and trajectory prediction for vehicles and vulnerable road users (VRUs), simulation environments for safety assessment and validation, and trustworthy/explainable AI including ethical and legal frameworks (e.g., alignment with the EU AI Act and type‑approval processes). By openly sharing methods, tools and lessons learned, the projects strengthened cross‑project alignment and accelerated progress towards safer, more predictable and widely accepted automated driving.

What we did

  • Co‑created a practical agenda covering: driver/VRU behavioural models, scenario generation, and CARLA‑based validation pathways, ensuring a direct link between research methods and validation needs
  • Compared methodologies and datasets to pinpoint common indicators (e.g., behaviour/attention cues, scenario descriptors) and gaps that hinder comparability across projects
  • Outlined next steps for resource exchange (e.g., scenario templates, terminology/glossary alignment, links to open repositories) and continued concertation through the CCAM community, building on workshop outcomes.

Why this is a good practice

  • Delivers on communication and collaboration beyond the project’s own community by engaging with sister projects and openly reporting outcomes for stakeholders and the public.
  • Maximises impact and efficiency: re‑use of assets (scenarios, metrics, integration guides) reduces duplication and speeds up validation cycles within CCAM.
  • Builds trust and accountability by documenting human‑centred design choices, including how behavioural models support safety, predictability and acceptance in mixed traffic.

Results at a glance

  • A plan for reciprocal links and resource pointers (e.g., to open‑source tools and simulation assets) so that researchers and industry can easily find and re‑use materials.
  • Follow‑up touchpoints scheduled to track progress and prepare joint visibility at upcoming CCAM events.

Transferability
Any R&I consortium can replicate this practice by:

  1. Identifying sister projects tackling adjacent topics;
  2. Co‑organising a focused technical workshop with a published recap;
  3. Agreeing light‑weight artefacts to share (e.g., templates, checklists, mappings);
  4. Cross‑linking resources on project websites for discoverability; and
  5. Measuring outcomes (downloads, re‑use, invitations, referrals).

Next steps for BERTHA

  • Report progress at relevant CCAM cluster meetings and community channels.
  • Track engagement via website analytics and stakeholder feedback to inform subsequent iterations.

© Images from HIDDEN project website.

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