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TRIMIS

Development of prescriptive AnalYtics baseD on aRtificial intElligence for iAMS

DAYDREAMS

Development of prescriptive AnalYtics baseD on aRtificial intElligence for iAMS

Call for proposal: 
H2020-S2RJU-OC-2020
Link to CORDIS:
Objectives: 

The overall DAYDREAMS objective is to move forward the integration and use of data and artificial/human trustworthy intelligence together with context-driven HMI for prescriptive Intelligent Asset Management Systems (IAMS) in railway by:

  1. advancing in maintenance approach towards prescriptive asset management;
  2. improving the decision-making process by developing multi-objective decision optimisation approaches taking into account all implications of IAMS decisions in the railway environment; and
  3. reinforcing the role of the person-in-the-loop by designing and developing advanced context-driven HMIs to allow context- and risk-aware multiple-options decision-making processes.

The HMI will allow the person-in-the-loop to:

  1. properly access and visualise predictions/metrics and models;
  2. assess why and how the model predicts something;
  3. Steer models by setting parameters; and
  4. evaluate alternatives using parameter steering and extending this process through speculative execution.

The DAYDREAMS objective will be assessed by validating the proposed solution using the following two-step approach:

  1. A first validation at TRL 4 of the approaches (developed prescriptive asset management) using several internal scenarios and one scenario provided by the CFM IN2SMART2 project;
  2. A further validation of the DAYDREAMS methodologies integrated in a TRL 5 prototype using at least two scenarios: at least one internal scenario and the IN2SMART2 scenario. The validation will cover both the performances of the prototypes and its trust for future adoption in multi-actors environments.

The validation will be carried out by defining evaluation and validation metrics and KPIs:

  1. linked to asset management problems to be solved by the involved Infrastructure Managers (IMs) and related baselines;
  2. quantified and measurable;
  3. referred to high-level KPIs defined in the S2R IMPACT2 CFM project; and
  4. useful to address multi-objective optimisation.
Institution Type:
Institution Name: 
European Commission
Type of funding:
Programme Other: 
S2R-OC-IP3-02-2020 Technology Development for Railway Systems Asset Management (TD3.6)
Lead Organisation: 

Union Des Industries Ferroviaires Europeennes - Unife

Address: 
AVENUE LOUISE 221
1050 BRUXELLES
Belgium
EU Contribution: 
€146,875
Partner Organisations: 

Rete Ferroviaria Italiana

Address: 
Piazza Della Croce Rossa
161 Roma
Italy
EU Contribution: 
€179,813

Institute Of Accelerating Systems And Applications

Address: 
PANEPISTIMIOU 30
10024 ATHINA
Greece
EU Contribution: 
€91,000

Cefriel Societa Consortile A Responsabilita Limitata

Address: 
VIALE SARCA 226
20126 MILANO
Italy
EU Contribution: 
€192,500

Stimio Sas

Address: 
52 RUE DU NIL
44470 CARQUEFOU
France
EU Contribution: 
€90,500

Rina Consulting Spa

Address: 
VIA SAN NAZARO 19
16145 GENOVA
Italy
EU Contribution: 
€88,750

Trainose Metafores-Metaforikes Ypiresies Epivaton Kai Fortiou Ae

Address: 
Karolou Str 1
10437 Athina
Greece
EU Contribution: 
€98,000

University Of Bristol

Address: 
BEACON HOUSE QUEENS ROAD
BRISTOL
BS8 1QU
United Kingdom
EU Contribution: 
€77,688

Universitat Konstanz

Address: 
UNIVERSITATSSTRASSE 10
78464 KONSTANZ
Germany
EU Contribution: 
€264,375

Università Degli Studi Di Genova

Address: 
N/a
16126 Genova
Italy
EU Contribution: 
€273,875

Zenabyte Srl

Address: 
VIA CESAREA 2
16121 GENOVA
Italy
EU Contribution: 
€206,500
Technologies: 
Development phase:
Development phase: