PAVEment SCANning with
EGNSS technology
for accurate assessment

PAVE-SCAN

  • aims the development of an EGNSS-based hardware/software solution for the low-cost automated assessment of roadway transport networks using low-cost sensors (vibration, gyroscope, OBD, lidar), participatory sensing, machine vision, and machine learning;

  • is in alignment to the ‘European Transport R&I Policy’ and to most EU-member national ‘Smart Specialization Strategy’ objectives;

  • is in response to, and in alignment with, the Horizon Europe Call for the development and implementation of ‘EGNSS-based technologies in long lead time market segments such as road transportation… in response to the increasing mobility demands and emerging transport solutions’, and with proposed activities expected to achieve TRL  7-9 by the end of the project;

  • is based on past scientific and applied knowledge of the consortium’s core technical partners, that has, to date, yielded a field-tested prototype of the proposed solution (TRL 6-7).  

The project aims for the development to market (TRL8-9) of EGNSS-based integrated low-cost sensor technologies and artificial-intelligence-driven open-architecture software solution (machine learning (ML) and machine vision (MV)), for the detection, classification, and georeferencing of roadway pavement surface anomalies and for the low-cost assessment of roadway pavements using participatory sensing. The proposed system is of practical importance since it provides continuous information about roadway pavement surface anomalies which are valuable for efficiently monitoring the transport infrastructure and for public safety. 

The vision for roadway condition assessment by utilization of smartphone-like technology is set in parallel with the hypothesis that such technology can be used for crowd-sourced data collection and analysis in GIS-based pavement management systems (PMS), and that the developed technology and related transport informatics are disruptive technologies that have the potential to reshape the transport and infrastructure O&M industries through the project objectives discussed in the proposal.

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Acting on (1) EU’s transport and roadway pavement priorities, objectives and directives; (2) national goals related to transport infrastructure, traffic safety, and digital transformation; and …

EUSPA’s vested interest in the advancement and commercialization of Galileo, EGNOS, and Copernicus data and services, and in fostering innovation in the space sector …

PAVE-SCAN aims to capitalize on a strong network of collaborators and stakeholders from the public and private sectors, from academia, the hardware, software and transport industry, and citizens …

to bring to market locally-developed and internationally-recognised research on the condition assessment of roadway pavements, the creation of innovation, and the facilitation of entrepreneurship …

via the development and implementation of ‘EGNSS-based technologies in long lead time market segments such as road transportation… in response to the increasing mobility demands and emerging transport solutions’, and with proposed activities expected to achieve TRL 7-9 by the end of the project.

Euro
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The project’s budget, of which €2,418,300 is funded by EUSPA.

months
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The project duration (Jan.2024-Dec.2026)

km
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The length of the roadway networks serving as the project’s ‘living labs’. The urban networks are in Cyprus, Malta, Spain, Italy, and Estonia, and have a total population of about 4.5 million residents.

News & Trainings & Events

News
First project deliverables are ready for release

The first batch pf project deliverables are ready for release.

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Uncategorized
Project technical and site meetings held in Cyprus

Back-to-back technical meetings were held in Cyprus (23.02.2024 and 26.02.2024) to discuss the PAVE-SCAN ...

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News
Project logo is issued

Our PAVE-SCAN project has just got its own logo. The logo was selected among ...

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euspa-logo
Group 195

This project has received funding from the European GNSS Agency under the European Union’s Horizon Europe research and innovation programme under grant agreement no. 101131910.