Project aiming at the acceleration of deployment of Smart Advanced ITS solutions for more Sustainable, Safer, and Resilient Road transportation networks and services crossing a wide European region from the Mediterranean Sea to the Atlantic Ocean.

Implementation of 89 individual projects, carried out by 39 partners (public authorities, public and private road operators), covering 3 TEN-T corridors (Mediterranean, Atlantic, North-Sea Mediterranean) in 4 countries: France, Italy, Spain, and Portugal, along a network covering approximately 8,000 km of the TEN-T core network and 10,000 km of the comprehensive network, crossing 4 border locations.

By digitalizing data collection, data exchange, data processing, and using artificial intelligence solutions, the project deploys a wide range of advanced and interoperable ITS solutions such as equipment, software, and applications for traffic management, traffic information, communication to users, and operations efficiency.

The project will contribute to the objectives of the Green Deal and of the Sustainable and Smart Mobility Strategy and addresses priority areas of the ITS Directive and of the TEN-T Regulation. MATIS tackles road congestion and enhances road safety and multimodality, thus contributing to the environmental and transportation policies’ objectives through the wider deployment of ITS and C-ITS in the frame of the CEF program.

The following projects to be implemented by Ascendi contribute significantly to the mentioned objectives to be achieved:

• Automatic animal detection and implementation of roadside virtual barriers.
• Automatic detection, identification, and geolocation of animal roadkills carrions using computer vision and AI deep learning.
• Automatic detection of truck escape ramps occupation and wrong-way vehicle detection systems.
• Characterization of speeds and expansion of speed measurement equipment.
• Telematics.
• Traffic and telematics system upgrade.
• ITS equipment renewal.
• Improvement of connector infrastructure cybersecurity.
• Enhancement of video surveillance.
• Automatic incident detection applied to existing cameras.