Imagine if self-driving cars needed a special kind of 'digital road' to stay safe, but every city built their roads differently. This work creates a shared rulebook and a set of digital tools so that cars and roads can talk to each other regardless of who built them. It's like creating a universal plug for the entire highway system to make autonomous driving reliable everywhere.
Road operators lack clear guidance on which expensive infrastructure upgrades are actually necessary for autonomous vehicles. This leads to wasteful spending or insufficient road readiness that blocks the deployment of self-driving fleets.
A PDI support classification schema and an open sharing service architecture. It includes 11 specific infrastructure support solutions validated in 7 test sites.
If you are a highway operator dealing with high costs of upgrading roads for autonomous cars — this project developed a classification schema and decision tools that identify which specific physical and digital upgrades are actually worth the investment. This prevents spending on redundant technology.
If you are an AV software developer dealing with limited driving zones due to poor road connectivity — this project developed 11 support solutions that expand the areas where autonomous vehicles can safely operate. This allows your product to work in more diverse environments.
If you are a smart city consultant dealing with fragmented data from different road sensors — this project developed an open sharing service architecture. This allows you to integrate various road users and AI techniques into one clear traffic management view.
Based on available project data, specific pricing is not provided, but the project notes that these interventions are often tremendously expensive to install and maintain.
The project aims to develop 11 support solutions reaching TRL 6-7, which are being validated across 7 test sites in 3 countries.
Based on available project data, the project uses an open sharing technology agnostic service operational architecture, but specific licensing terms are not listed.
The project provides risk-aversion decision making tools and methodologies to help policy makers make better infrastructure investment choices.
The project period runs from 2022-09-01 to 2026-04-30, suggesting the final validated solutions will be available by April 2026.
The consortium is heavily weighted toward industry, with 13 industrial partners (48% of the total 27 partners). Notably, 50% of these industrial partners are road operators, ensuring that the developed tools are grounded in actual operational needs rather than just academic theory. The presence of 5 SMEs suggests a focus on scalable, commercializable technology components.
Contact FEHRL (Forum des Laboratoires Nationaux Européens de Recherche Routière) in Belgium.
Contact SciTransfer to connect with the 13 industrial partners for early adoption of PDI schemas.
