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TRIMIS

Smart Maintenance and the Rail Traveller Experience

PROJECTS
Funding
European
European Union
Duration
-
Status
Complete
Geo-spatial type
Other
Total project cost
€769 959
EU Contribution
€769 959
Project website
Project Acronym
SMaRTE
STRIA Roadmaps
Transport mode
Rail icon
Transport policies
Societal/Economic issues,
Safety/Security
Transport sectors
Passenger transport

Overview

Link to CORDIS
Background & Policy context

SMaRTE Smart Maintenance and the Rail Traveller Experience is a European research project within the Horizon 2020 programme of the European Commission. SMaRTE brings together two related but distinct areas of research. Smart maintenance and human factors are concerned with digitisation and the use of information to enhance decision making, either by industry players in respect of maintenance decisions, or by users of the system in employing smart applications to navigate the rail system and its interaction with other modes.

The challenge of the smart maintenance stream of this work (henceforth referred to as smart maintenance) is to improve current railway train maintenance systems, through the integration of predictive data analysis algorithms and online optimization tools within an improved Condition Based Maintenance strategy.

Objectives

SMaRTE Smart Maintenance and the Rail Traveller Experience brings together two related but distinct areas of research. Smart maintenance and human factors are concerned with digitisation and the use of information to enhance decision making, either by industry players in respect of maintenance decisions, or by users of the system in employing smart applications to navigate the rail system and its interaction with other modes.



Smart Maintenance

The Smart maintenance aspect of the project is concerned with the use of information and modelled relationships to better target maintenance where it is needed, based on condition to reduce life cycle costs and generate other benefits including improved vehicle availability and performance or reliability. Objectives include:

  • 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.
Methodology

Human Factors

The human factors research is concerned with understanding the behaviour of users and in particular the factors that deter users from accessing rail, viewing the passenger experience as an end-to-end journey where rail will be only be one part. The aim is then to make recommendations on how to decrease the cognitive effort for individuals using rail services, through planning, booking tickets, integrating it with access to the station and onward mobility at the destination in different journey contexts. Objectives include:

  • 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.



CCA integration

  • The human factors work links to Work area 6 of the CCA-Cross Cutting Activities in the S2R MAAP, Human Capital, which aims to bridge the gap between changes in the railway and other sectors imposed by rapid technological advances and substantial demographic change. Specifically within this work programme this call links to customer oriented design of mobility.
  • The smart maintenance work links to work area 3 of the CCA-Cross Cutting Activities, specifically sub work area 3.3, Smart Maintenance.

Funding

Parent Programmes
Institution Type
Public institution
Institution Name
European Commission
Type of funding
Public (EU)
Type of funding
Public (EU)

Partners

Lead Organisation
EU Contribution
€182 923
Partner Organisations
Organisation
The University Of Huddersfield
Address
Queensgate, Huddersfield, HD13DH, United Kingdom
EU Contribution
€119 925
EU Contribution
€709 378
EU Contribution
€83 354
Organisation
Fertagus Travessia Do Tejo Transportes Sa
Address
ESTACAO DO PRAGAL PORTA 23, ALMADA, Portugal
EU Contribution
€27 813
Organisation
Union Des Industries Ferroviaires Europeennes - Unife
Address
AVENUE LOUISE 221, 1050 BRUXELLES, Belgium
Organisation website
EU Contribution
€55 281
EU Contribution
€118 250
Organisation
Ergoproject Srl
Address
Via Antonio Pacinotti 73/b, 146 Roma, Italy
EU Contribution
€36 001
EU Contribution
€39 219
EU Contribution
€16 331
Organisation
Luleå Hamn AB
Address
Stromorvagen 9, 974 37 Lulea, Sweden
EU Contribution
€19 925

Technologies

Technology Theme
Artificial Intelligence, Big Data management and decision support frameworks
Technology
Digital transformation of rail operations

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