Imagine if roads could tell us exactly where they are wearing out before a pothole even forms. This system uses smart sensors and digital maps to spot danger zones for drivers, cyclists, and pedestrians in real-time. It's like giving the highway a nervous system that alerts authorities to risks before accidents happen.
Current road safety monitoring is reactive and fails to account for complex user behaviors or the specific needs of autonomous vehicles. This leads to inefficient maintenance and preventable accidents.
A predictive maintenance tool for road diagnosis, a digital twin for infrastructure monitoring, and low-cost smart signs to influence driver behavior.
If you are a road maintenance contractor dealing with unpredictable pavement failure — this project developed a diagnosis and prognosis tool that enables predictive maintenance to fix roads before they break.
If you are an autonomous vehicle developer dealing with uncertain road signage and connectivity — this project developed a connectivity assessment tool that ensures infrastructure readiness for CCAM operations.
If you are a smart city operator dealing with high accident rates for pedestrians and scooters — this project developed low-cost smart signs and a nudging engine to guide users toward safer behaviors.
Based on available project data, specific pricing or cost structures for the tools are not provided.
The project tests solutions at 7 locations across 4 countries (Spain, Italy, Latvia, and Romania), suggesting a design intended for multi-regional scaling.
Based on available project data, the IP and licensing terms are not specified in the project description.
It uses on-the-edge sensory and communication technologies to digitalize existing infrastructure assets into a cyber-physical ecosystem.
The project runs from 2024-05-01 to 2027-04-30, with deliverables released during this period.
The consortium is heavily weighted toward practical application, featuring 20 partners from 11 countries. With a 25% industry ratio (5 industrial partners, including 5 SMEs), the project balances academic research (2 universities, 7 research centers) with commercial viability and real-world testing.
Contact the European Road Transport Telematics Implementation Coordination Organisation (ERTICO)
Contact us to connect with the EvoRoads consortium for early access to predictive maintenance tools.
