Explore the words cloud of the INFRALERT project. It provides you a very rough idea of what is the project "INFRALERT" about.
The following table provides information about the project.
Coordinator |
FRAUNHOFER GESELLSCHAFT ZUR FOERDERUNG DER ANGEWANDTEN FORSCHUNG E.V.
Organization address contact info |
Coordinator Country | Germany [DE] |
Project website | http://www.infralert.eu |
Total cost | 3˙183˙243 € |
EC max contribution | 3˙183˙243 € (100%) |
Programme |
1. H2020-EU.3.4. (SOCIETAL CHALLENGES - Smart, Green And Integrated Transport) |
Code Call | H2020-MG-2014_TwoStages |
Funding Scheme | RIA |
Starting year | 2015 |
Duration (year-month-day) | from 2015-05-01 to 2018-04-30 |
Take a look of project's partnership.
# | ||||
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1 | FRAUNHOFER GESELLSCHAFT ZUR FOERDERUNG DER ANGEWANDTEN FORSCHUNG E.V. | DE (MUNCHEN) | coordinator | 661˙250.00 |
2 | CENTRO DE ESTUDIOS DE MATERIALES Y CONTROL DE OBRA SA | ES (MALAGA) | participant | 567˙000.00 |
3 | LULEA TEKNISKA UNIVERSITET | SE (LULEA) | participant | 502˙493.00 |
4 | UNIVERSIDAD DE SEVILLA | ES (SEVILLA) | participant | 413˙750.00 |
5 | REGENS INFORMATIKAI RESZVENYTARSASAG | HU (BUDAPEST) | participant | 380˙000.00 |
6 | DMA SRL | IT (TORINO) | participant | 377˙500.00 |
7 | INFRAESTRUTURAS DE PORTUGAL SA | PT (LISBOA) | participant | 281˙250.00 |
8 | EP ESTRADAS DE PORTUGAL SA | PT (ALMADA) | participant | 0.00 |
INFRALERT aims to develop an expert-based information system to support and automate linear asset infrastructure management from measurement to maintenance. This enfolds the collection, storage and analysis of inspection data, the deduction of interventions to keep the performance of the network in optimal condition, and the optimal planning of maintenance interventions. It will also assess new construction strategic decisions. The condition of the land transport infrastructure has a big societal and economic relevance, since constraints result in disruptions of service. The demand for surface transport will significantly increase in the next years. Given budget restrictions, a substantial enlargement of the road/rail network in the next decades is doubtful. Besides, the aging infrastructure will require more maintenance interventions which infer normal traffic operation. Therefore, the only way to increase infrastructure capacity for the increased transportation demand is to optimise the performance of the existing infrastructure. This issue is addressed by INFRALERT. INFRALERT will develop and deploy solutions that enhance the infrastructure performance and adapt its capacity to growing needs by: (i) ensuring the operability under traffic disruptions; (ii) keeping and increasing the availability by optimising operational maintenance interventions and assessing strategic long-term decisions on new construction; and (iii) ensuring service reliability and safety by minimising incidences and failures. INFRALERT will be directly applicable by Rail and Road Infrastructure Managers in the field of Intelligent Maintenance and long term strategic planning. Two real pilots (for roads and rail transport systems) will be used to validate and demonstrate the results of the research activities. In both cases, extensive data from auscultation campaigns are available since some years ago. The empirical development of the whole project will be based on these pilot cases.
Operation and integration guidelines for eIMS | Documents, reports | 2019-05-31 12:22:06 |
eIMS impact analysis for road and rail networks cases | Documents, reports | 2019-05-31 12:22:02 |
Methodologies and procedures for inferring three-dimensional alert-severity-intervention pattern space (cause-effect relationship’s knowledge). Supervised and unsupervised approaches. | Documents, reports | 2019-05-31 12:21:52 |
Dissemination & Communication Activities | Documents, reports | 2019-05-31 12:21:58 |
Application of physical, data-driven and symbolic models from component to system level | Documents, reports | 2019-05-31 12:21:52 |
Hybrid methodology in different asset levels: Contribution to more accurate asset forecasting and nowcasting | Documents, reports | 2019-05-31 12:22:02 |
Report on RAMS&LCC integrated models | Documents, reports | 2019-05-31 12:22:01 |
Report on models and algorithms for decision support | Documents, reports | 2019-05-31 12:21:57 |
Mid-term Dissemination & Communication Activities | Documents, reports | 2019-05-31 12:22:02 |
Report on a tool for strategic decision assessment | Documents, reports | 2019-05-31 12:22:00 |
Expert-based evolution of the data structure | Other | 2019-05-31 12:22:07 |
Smart decision support framework | Documents, reports | 2019-02-25 11:50:47 |
Website operative | Websites, patent fillings, videos etc. | 2019-05-31 12:17:28 |
Report on RAMS data collection and failure rate analysis at component level | Documents, reports | 2019-02-25 11:50:47 |
Take a look to the deliverables list in detail: detailed list of INFRALERT deliverables.
year | authors and title | journal | last update |
---|---|---|---|
2018 |
Antonio Reyes, Francisco J. Morales, Noelia Caceres, Luis M. Romero, Francisco G. Benitez, Joao Morgado, Emanuel Duarte, Teresa Martins AUTOMATIC PREDICTION OF MAINTENANCE INTERVENTION TYPES IN TRANSPORT LINEAR INFRASTRUCTURES USING MACHINE LEARNING published pages: , ISSN: , DOI: |
Proceedings of Transport Research Arena TRA, Vienna, Austria, 2018 | 2019-05-27 |
2018 |
Ãlvaro Calle-Cordón, Noemi Jiménez-Redondo, F.J. Morales-Gámiz, F.A. GarcÃa-Villena, Juan Jacobo Peralta, A.H.S Garmabaki, Stephen Famurewa, J. Odelius, Emanuel Duarte, João Morgado COMBINED RAMS AND LCC ANALYSIS IN RAILWAY AND ROAD TRANSPORT INFRASTRUCTURES published pages: , ISSN: , DOI: |
Proceedings of Transport Research Arena TRA, Vienna, Austria, 2018 | 2019-05-27 |
2017 |
Francisco J. Morales, Antonio Reyes, Noelia Cáceres, Luis M. Romero, Francisco G. Benitez, Joao Morgado, Emanuel Duarte, Teresa Martins Historical maintenance relevant information road-map for a self-learning maintenance prediction procedural approach published pages: 12107, ISSN: 1757-8981, DOI: 10.1088/1757-899x/236/1/012107 |
IOP Conference Series: Materials Science and Engineering 236 | 2019-05-27 |
2017 |
Ãlvaro Calle-Cordón, Noemi Jiménez-Redondo, F J Morales-Gámiz, F A GarcÃa-Villena, Amir H S Garmabaki, Johan Odelius Integration of RAMS in LCC analysis for linear transport infrastructures. A case study for railways. published pages: 12106, ISSN: 1757-8981, DOI: 10.1088/1757-899x/236/1/012106 |
IOP Conference Series: Materials Science and Engineering 236 | 2019-05-27 |
2017 |
Ute Kandler, Axel Simroth DECISION SUPPORT FOR TACTICAL PLANNING OF MAINTENANCE ACTIVITIES – A USE CASE FOR THE INFRALERT PROJECT published pages: , ISSN: 0721-5924, DOI: |
Proceedings of International Conference on Operations Research (OR2017) | 2019-05-27 |
2018 |
Ute Kandler, Axel Simroth, João Morgado, Emanuel Duarte DECISION SUPPORT FOR TACTICAL PLANNING – A USE CASE FOR THE INFRALERT PROJECT published pages: , ISSN: , DOI: |
Proceedings of Transport Research Arena TRA, Vienna, Austria, 2018 | 2019-05-27 |
2018 |
Jiménez-Redondo, Noemi; Calle Cordón, Ãlvaro; Kandler, Ute; Simroth, Axel; Reyes, Antonio; Morales, Francisco J.; Odelius, Johan; Famurewa, Stephen; Iorio, Daniele; Fruttero, Marco; Juszt, András; Hanák, Tamás; Morgado, João; Duarte, Emanuel INFRALERT: IMPROVING LINEAR TRANSPORT INFRASTRUCTURE EFFICIENCY BY AUTOMATED LEARNING AND OPTIMISED PREDICTIVE MAINTENANCE TECHNIQUES published pages: , ISSN: , DOI: |
Proceedings of Transport Research Arena TRA, Vienna, Austria, 2018 | 2019-05-27 |
2016 |
João Morgado;
Emanuel Duarte O PROJETO INFRALERT: APRESENTAÇÃO E PRIMEIROS DESENVOLVIMENTOS published pages: 1-9, ISSN: , DOI: |
Proc. of the 8º Congresso Rodoviário Português April 2016 | 2019-02-25 |
2017 |
Noemi Jiménez-Redondo, Alvaro Calle-Cordón, Ute Kandler, Axel Simroth, Francisco J Morales, Antonio Reyes, Johan Odelius, Aditya Thaduri, Joao Morgado, Emmanuele Duarte Improving linear transport infrastructure efficiency by automated learning and optimised predictive maintenance techniques (INFRALERT) published pages: 12105, ISSN: 1757-8981, DOI: 10.1088/1757-899x/236/1/012105 |
IOP Conference Series: Materials Science and Engineering 236 | 2019-05-27 |
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