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<p>Created page with &quot; == Abstract == The on-going H2020 project INFRALERT aims to increase rail and road infrastructure capacity in the current&lt;br&gt; framework of increased transportation demand by...&quot;</p> <p><b>New page</b></p><div><br /> == Abstract ==<br /> <br /> The on-going H2020 project INFRALERT aims to increase rail and road infrastructure capacity in the current&lt;br&gt; framework of increased transportation demand by developing and deploying solutions to optimise maintenance&lt;br&gt; interventions planning. INFRALERT develops an ICT platform - the expert-based Infrastructure Management&lt;br&gt; System eIMS - which follows a modular approach including several expert-based toolkits. This paper presents&lt;br&gt; the architecture of the eIMS as well as the functionalities, methodologies and exemplary results of the toolkits&lt;br&gt; for i) nowcasting and forecasting of asset condition, ii) alert generation, iii) RAMS &amp;amp; LCC analysis and iv)&lt;br&gt; decision support. The applicability and effectiveness of the eIMS and its toolkits will be demonstrated in two&lt;br&gt; real-world pilot scenarios, which are described in the paper: a meshed road network in Portugal under the&lt;br&gt; jurisdiction of Infraestruturas de Portugal (IP) and a freight railway line in Northern Europe managed by&lt;br&gt; Trafikverket.<br /> <br /> <br /> == Original document ==<br /> <br /> The different versions of the original document can be found in:<br /> <br /> * [http://publica.fraunhofer.de/documents/N-540704.html http://publica.fraunhofer.de/documents/N-540704.html]<br /> <br /> * [https://zenodo.org/record/1483102 https://zenodo.org/record/1483102] under the license http://creativecommons.org/licenses/by-nc-nd/4.0/legalcode<br /> <br /> * [http://dx.doi.org/10.5281/zenodo.1483101 http://dx.doi.org/10.5281/zenodo.1483101],<br /> : [https://zenodo.org/record/1483102 https://zenodo.org/record/1483102] under the license http://creativecommons.org/licenses/by-nc-nd/4.0/legalcode<br /> <br /> * [http://dx.doi.org/10.5281/zenodo.1483102 http://dx.doi.org/10.5281/zenodo.1483102],<br /> : [https://zenodo.org/record/1483102 https://zenodo.org/record/1483102] under the license http://creativecommons.org/licenses/by-nc-nd/4.0/legalcode<br /> <br /> <br /> <br /> DOIS: 10.5281/zenodo.1483102 10.5281/zenodo.1483101</div>

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