STRMTG is involved in the PRISSMA project

Published on 06/07/2023 | Updated 25/08/2023

STRMTG is involved in all 8 Work Packages (see insert) of the Research and Investment Platform for the Safety and Security of Autonomous Mobility (PRISSMA) project.

logo PRISSMA

In addition to the use of “automated robots” (droids), this project focuses on the autonomous shuttle, which is of particular interest to the STRMTG. This falls within the scope of Automated Road Transport Systems (ARTS), where STRMTG is responsible for:

developing safety demonstration standards,
accrediting Approved Qualified Organisations (AQOs),
and organising follow-up to feedback/field experience.

PRISSMA aims to develop a prototype platform that will remove the technological barriers preventing the deployment of artificial intelligence (AI)-based systems with safety and security issues.

This platform will also allow the integration of all the information required to assess AI techniques as part of the certification of autonomous vehicles and approval in their environment for a given use.

The PRISSMA project is the response proposed by the autonomous mobility industry to Pillar 2 issued by the Grand Défi in partnership with the French Ministry of Ecological Transition, on the securing, reliability, and eventually the certification of AI-based systems.

It was launched in April 2021 for a projected duration of 3 years.

PRISSMA’s 8 Work Packages
WP1: Define the certification strategy for the use of AI for autonomous mobility, based on tests and audits that will be developed in Work Packages 2, 3, 4 and 6
WP2: Ensure the appropriate use of simulation and models to obtain acceptable evidence in a certification process for systems using AI
WP3: Define the qualification process to be implemented in a controlled environment, whether by means of “vehicle in the loop” type test benches or track testing
WP4: Propose test scenarios, methodologies and associated intervention procedures for real-life testing of autonomous mobility systems in addition to the previous tests
WP5: Address cybersecurity issues and requirements for AI-based systems in the context of autonomous public transportation vehicles
WP6: Compile the Certification Justification File (best practices and recommendations related to AI to be proven during development + different types of “proofs” for certification in addition to testing)
WP7: Take into account the specificities related to AI in the maintenance process by detecting performance developments compared to the requirements, identify situations that do not meet requirements and propose a feedback process for certification methodologies, tools and platforms
WP8: Manage the coordination of the project in its ecosystem by integrating the constraints relating to the efficiency of the process in the event of changes in functions and systems and by taking into account the overall scope of autonomous mobility