Imagine trying to prove a car is safe by driving it every possible mile—it would take forever. Instead, this project creates a giant digital library of tricky driving situations to test cars in a simulator. It's like a flight simulator for self-driving cars that tells regulators exactly why a vehicle is safe to hit the road.
Proving that self-driving cars are safe using only real-world driving is physically and financially impossible. Companies lack a standardized way to certify these vehicles for mass market release.
A three-part system consisting of a safety method, a software toolchain, and a federated European database of driving scenarios.
If you are an Autonomous Vehicle Developer dealing with the impossible task of real-world mileage for safety proof — this project developed a toolchain and data system that allows for virtual validation of high-level automation. This reduces the need for infeasible amounts of physical test-driving.
If you are an ADAS Software Provider dealing with inconsistent safety standards across different countries — this project developed a harmonized method for safety argumentation. This helps you align your software with European certification needs.
If you are a Smart City Operator dealing with the risks of deploying connected shuttle fleets — this project developed a federated database of test cases. This ensures the vehicles interacting with your city infrastructure meet a verified safety bar.
Based on available project data, no specific commercial pricing or licensing costs are mentioned, as the project was funded by a EUR 13,087,426 EU contribution.
Yes, the project specifically focused on creating a scalable data system and a federated European database to handle a multitude of relevant test cases for massive deployment.
Based on available project data, the project produced a collection of open access test cases, but specific IP licensing terms for the toolchain are not detailed.
It aligns with the multi-pillar approach of NATM (ECE/TRANS/WP.29/2021/61) to help vehicles pass certification and enable deployment.
The project ran from September 2022 to August 2025, with the final results presented in June 2025.
The project is heavily industry-driven, with 14 industrial partners making up 48% of the 29-member consortium. This strong commercial presence, combined with 10 research centers and 4 universities across 14 countries, suggests the results are designed for practical application rather than pure theory.
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