(Created page with " == Abstract == The on-going H2020 project INFRALERT aims to increase rail and road infrastructure capacity in the current<br> framework of increased transportation demand by...") |
m (Scipediacontent moved page Draft Content 631277976 to Jimenez-Redondo et al 2018a) |
(No difference)
|
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.
The different versions of the original document can be found in:
DOIS: 10.5281/zenodo.1483102 10.5281/zenodo.1483101
Published on 01/01/2018
Volume 2018, 2018
DOI: 10.5281/zenodo.1483102
Licence: Other
Are you one of the authors of this document?