SciTransfer
V4SAFETY · Project

Standardized Safety Testing System for Automated Vehicles and Pedestrian Protection

transportTestedTRL 5

Imagine trying to prove a new car safety feature works before it ever hits the road. Instead of crashing thousands of real cars, this project creates a digital 'rulebook' and simulation tool to predict if a technology actually saves lives. It helps designers see how different drivers and pedestrians will react in a virtual world to ensure everyone stays safe.

By the numbers
4,157,987
EU Contribution in EUR
18
Consortium Partners
8
Countries involved
The business problem

What needed solving

Automotive companies struggle to prove that new automated driving features are safe for all road users without expensive and slow physical testing. There is currently a lack of consistent, reliable methods to compare different safety measures across different EU regions.

The solution

What was built

A safety assessment process and a set of guidelines for selecting and connecting human, vehicle, and environment models in simulations.

Audience

Who needs this

Automotive OEMsADAS Tier 1 SuppliersRoad Safety AuthoritiesUrban Infrastructure PlannersVehicle Certification Bodies
Business applications

Who can put this to work

Automotive Manufacturing
enterprise
Target: Vehicle OEM

If you are a vehicle OEM dealing with the high cost of physical crash tests for automated driving — this project developed a prospective safety assessment tool that allows you to compare safety measures digitally. This reduces uncertainty in how new vehicle types interact with road users.

Urban Planning
any
Target: Municipal Infrastructure Authority

If you are a city authority dealing with pedestrian accidents in smart city zones — this project developed a method to project the results of infrastructure solutions across EU regions. This helps you choose the most effective safety measures for your specific local environment.

Automotive Tier 1 Supply
mid-size
Target: ADAS Component Supplier

If you are a supplier dealing with strict type approval requirements for new sensors — this project developed guidelines for connecting human and vehicle models. This ensures your technology meets the reliability standards required by policy makers.

Frequently asked

Quick answers

What is the cost or price to implement this method?

Based on available project data, no specific pricing or licensing costs are mentioned; the project was funded with a EUR 4,157,987 EU contribution.

Can this be scaled to an industrial level?

Yes, the project includes 7 industrial partners, including major brands like BMW, Toyota, and Volvo, indicating the method is designed for industrial application.

Who owns the IP or how is it licensed?

Based on available project data, specific IP and licensing terms are not disclosed, though it is intended for use by policy makers, authorities, and consumer organizations.

How does this affect vehicle type approval?

The project provides a reliable method for the evaluation and comparison of safety measures, which directly supports the type approval process for automated mobility.

What is the timeline for deployment?

The project runs from October 2022 to September 2025, with a draft of the safety assessment process already produced in October 2023.

Consortium

Who built it

The consortium is highly industry-weighted (39% industry ratio), featuring 7 commercial entities including global giants like BMW, Toyota, and Volvo. With 18 partners across 8 countries, the project balances academic research (4 universities, 5 research centers) with practical application, ensuring the resulting safety tools are compatible with real-world manufacturing and regulatory needs.

How to reach the team

Contact TNO (Netherlands) regarding the Safety Assessment Framework

Next steps

Talk to the team behind this work.

Request a deep dive into the V4SAFETY simulation guidelines for your ADAS roadmap.

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