Technical objectives

1 Smart Maintenance

  • Review and benchmark of current CBM practices in other sectors, namely the aeronautical sector;
  • Development and integration of reliability ontology;
  • Development and integration of predictive tools for current and future condition of train passenger components;
  • Development of optimization tools to support decision making;  
  • Application of CBM model to two real-world case studies on train passenger components.

Human Factors
  • Review of demographical and societal factors affecting transport use, usability and attitudes towards transport.
  • Realize an Experience Map project, which considers passengers as individuals behaving in the real context while performing the activities to reach their prefixed objectives.
  • Identification of the physical and planning factors and their relative importance in the journey to identify the resistance at each step of the journey, broken down by demographic groups and mode/journey purpose.
  • Estimation of attrition factors for each activity in the journey, to quantify those potential customers lost at each step of the journey due to unfulfilled usability requirements.
  • Integrate the outcomes of the research into a vision and roadmap of measures to simplify the end-user experience of planning and undertaking a trip that includes a rail journey.


This project has received funding from the European Union’s Horizon 2020 research and innovation programme under grant agreement No: 777627

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