PAVEment SCANning with EGNSS Technology for Accurate Assessment
Project Overview:
PAVE-SCAN is focused on creating advanced, market-ready (Technology Readiness Levels 8-9) sensor technologies that utilize European Global Navigation Satellite Systems (EGNSS). These sensors are designed to be affordable and integrated with a software solution that is based on open architecture. This software employs artificial intelligence, specifically machine learning (ML) and machine vision (MV), to identify, categorize, and geographically pinpoint anomalies on the surface of roadway pavements. The project will also develop a 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.
Partners Involved:
- UNIVERSITY OF CYPRUS (Coordinator) CY
- GEOIMAGING CY
- SIGNALGENERIX CY
- ELECTI CONSULTING CY
- NPT NICOSIA PUBLIC TRANSPORT SERVICES & OPERATIONS LTD CY
- LEFKOSIA MUNICIPALITY CY
- ARISTOTELIO PANEPISTIMIO THESSALONIKIS GR
- STAM SRL IT
- AZIENDA MOBILITA E TRANSPORTI S.P.A. IT
- MALTA PUBLIC TRANSPORT SERVICES (OPERATIONS) LTD MT
- ALSA GRUPO SLU ES
- TRANSPORT DEPARTMENT, CITY ADMIN. OF TALLINN EE
- BRIMATECH RESEARCH gGmbH AT
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