For transport authorities and road operators across the TEN-T network, infrastructure investment decisions increasingly rely on measurable outcomes, documented methodologies, and replicable results. MATIS is now in a position to meet that demand. With more than 80 projects already launched, the project has moved well beyond concept. Three flagship cases illustrate what that means on the ground.
Safer tunnels through AI-powered incident detection
Tunnels concentrate risk. Reduced sight distances, limited escape routes, and the confined spread of smoke or toxic gases make incident response time a critical variable. Italian MATIS’ partner, CDT, has deployed AI-based software that detects incidents automatically and in real time, directly inside tunnel environments. The system identifies abnormal situations (stopped vehicles, pedestrians, smoke) within seconds, triggering alerts before operators would otherwise be aware.
The gain is twofold. Response times for both operators and emergency services are reduced. At the same time, false alarm rates decrease. This combination of faster detection and greater precision directly improves safety outcomes while reducing operational noise. The solution is documented as a best practice, making it assessable and adaptable for other operators managing tunnel infrastructure across the network.
Smoother traffic through ramp metering
Urban ring roads are among the most congestion-prone sections of the TEN-T network. Access points are where flow breaks down, where small variations in entry volume cascade into significant delays further along the corridor. French MATIS’s partner DIRO (part of the French Ministry of Transports) ramp metering system on the Rennes ring road addresses this directly: using real-time traffic data, the system regulates motorway access to smooth the flow before congestion builds.
The objectives are specific and quantified. MATIS 1 targets a 3% reduction in lost hours at strategic bottlenecks and a 3% reduction in CO₂ emissions at major congestion points. The Rennes deployment is a direct contribution to both. It also demonstrates a broader principle: that demand management at the point of entry, informed by live data, is a more effective intervention than reactive traffic control after congestion has already formed.
Smart parking management on cross-border area
Infrastructure managers are increasingly confronted with disruption scenarios that fall outside normal operating parameters. These situations overwhelm the network faster than standard traffic management protocols are designed to handle.
MATIS’ partner ASFA – Atlandes has developed an intelligent parking solution specifically engineered to optimise the use of HGV parking spaces. By combining real-time occupancy data with dynamic signage and routing, the system redirects heavy goods vehicles toward available parking areas before gridlock sets in on the mainline. The approach shifts the intervention upstream: informing drivers before they reach saturation points rather than managing consequences after the fact. For operators responsible for network resilience, this represents a concrete answer to a challenge that is growing in frequency and severity.
Three projects. One transferable methodology.
These cases are not isolated experiments. They belong to a 16,000 km real-life laboratory where advanced ITS and C-ITS technologies are deployed, tested, and evaluated at operational scale. Best practices issued from MATIS flagship projects are structured to capitalise on accumulated field experience, share documented methods, and create a cross-mentoring dynamic between network partners.
