cartif projects


Conservation of Infrastructures based on Computational Intelligence


The CIBIC project (“Conservation of infrastructures based on Computational Intelligence”) arises with the objective of improving the services provided by the companies of conservation of infrastructures, based on the application of new technologies to carry out the concept of intelligent systems that will help to improve the quality and the innovation of these services. This project was funded with FEDEER funds by MINECO.

Through the application of Computational Intelligence techniques, the aim is to put into value the information, knowledge and experience that companies in the sector have accumulated over time, and which is not systematically exploited for many reasons.


  • Apply technologies based on Computer Science and ICT to the domain of maintenance and conservation of transport infrastructure, in order to formalize the existing experience and knowledge as a result of the years of activity.
  • Reduce the costs of maintenance operations and increase the lifetime of the infrastructure
  • Generate a competitive advantage that allows to improve products and services through an improvement of their efficiency.


  • Collect and formalize existing knowledge, from different points of view, about the conservation of infrastructure (roads and railways).
  • Detection and classification of evolutionary and/or abrupt failures that affect the use of the infrastructure and/or its safety.
  • Decision Support System: preventive an reactive maintenance, depending on the estimated behavior and/or known status of the infrastructure.

Expected Results

  • Models of evolution and behavior of infrastructures and their elements on which to apply methods of data mining. Once infrastructure evolution is known, it is possible to foresee deteriorations or failures that may be generated, as well as the maintenance operations to be carried out.
  • Feasibility of applying Computational Intelligence techniques to the field of railway infrastructure maintenance, identifying some of the most appropriate techniques.


P.N. Investigación Aplicada Colaborativa 2009

Overall budget: 597.894,60 €
CARTIF Grant: 450.284,70 €
Duration: May 2009 – December 2010


Marta Galende

Industrial and Digital Systems Division


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