EU HORIZON EUROPE / PAVE-SCAN

PAVE-SCAN

PAVEment SCANning with EGNSS Technology for Accurate Assessment

Budget: €2,971,875
Funding: €2,418,300
Duration: 36 months Jan 2024 – Dec 2026
Call: Horizon Europe Digital, Industry and Space 101131910

Overview

PAVE-SCAN is a Horizon Europe project that aims to revolutionise pavement condition assessment through the use of advanced sensors, cameras, artificial intelligence, and EGNSS technologies. The project develops a cost-effective and automated solution for detecting, classifying, and georeferencing pavement anomalies, enabling real-time monitoring of road infrastructure conditions. By improving the accuracy and efficiency of pavement inspections, PAVE-SCAN supports more informed maintenance decisions, enhances road safety, and contributes to the digital transformation of transport infrastructure management.

PAVE-SCAN roadway monitoring concept image.

Objectives

01-04 / 10

01

Real-Time Roadway Analysis

Enable near-real-time detection, analysis, and classification of roadway surface anomalies using advanced sensing and AI technologies.

02

Infrastructure Mapping

Create accurate geospatial maps of transport infrastructure, roadway defects, and pavement-condition heatmaps to support informed decision-making.

03

Condition Assessment Intelligence

Provide dynamic visualisation and assessment of roadway conditions through data-driven geospatial analytics and monitoring tools.

04

Smarter Road Asset Management

Improve roadway management practices by supporting maintenance prioritisation, optimising public works planning, and reducing operational costs.

05

Sustainable Transport Infrastructure

Reduce the environmental footprint of transport systems through more efficient operation and maintenance of road infrastructure and public transport networks.

06

Cost-Effective Pavement Monitoring

Lower roadway assessment costs by transforming buses and fleet vehicles into participatory sensors for continuous infrastructure monitoring.

07

Digital Transport Integration

Integrate pavement-condition data with national transport initiatives and Digital Twin platforms to enhance transport safety and support dynamic roadway-condition models.

08

Open Data and Interoperability

Provide open-access datasets and APIs to facilitate data sharing, interoperability, and further innovation by stakeholders.

09

Market Uptake and Commercialisation

Bring the PAVE-SCAN solution to market through a scalable Product-as-a-Service (PaaS) business model.

10

Knowledge Sharing and Impact

Disseminate project results and promote stakeholder engagement to maximise the project's scientific, societal, and commercial impact.

What We Do

NPT, member of CPT Group, leads the pilot implementation and validation of the PAVE-SCAN technologies across the project's Living Labs in Cyprus, Malta, Spain, Italy, and Estonia. We coordinate pilot activities, data collection, system validation, and knowledge transfer among consortium partners and road network managers.

Through the Nicosia pilot, we demonstrate an innovative road assessment solution that combines sensors, cameras, artificial intelligence, and EGNSS technologies to automate the monitoring of road infrastructure conditions. By validating the technology in a real operational environment, we help advance safer, more efficient, and data-driven infrastructure management practices.

News

News, events and press releases

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Events

NPT Hosts PAVE-SCAN Training

Through training sessions and live demonstrations at NPT, project partners strengthened their readiness for upcoming deployments in multiple European pilot sites.