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Published April 16, 2018 | Version v1
Conference paper Open

INFRALERT: improving linear transport infrastructure efficiency by automated learning and optimised predictive maintenance techniques

Description

The on-going H2020 project INFRALERT aims to increase rail and road infrastructure capacity in the current
framework of increased transportation demand by developing and deploying solutions to optimise maintenance
interventions planning. INFRALERT develops an ICT platform - the expert-based Infrastructure Management
System eIMS - which follows a modular approach including several expert-based toolkits. This paper presents
the architecture of the eIMS as well as the functionalities, methodologies and exemplary results of the toolkits
for i) nowcasting and forecasting of asset condition, ii) alert generation, iii) RAMS & LCC analysis and iv)
decision support. The applicability and effectiveness of the eIMS and its toolkits will be demonstrated in two
real-world pilot scenarios, which are described in the paper: a meshed road network in Portugal under the
jurisdiction of Infraestruturas de Portugal (IP) and a freight railway line in Northern Europe managed by
Trafikverket.

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