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RAILS SIGNED

Roadmaps for A.I. integration in the raiL Sector

Total Cost €

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EC-Contrib. €

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Partnership

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Project "RAILS" data sheet

The following table provides information about the project.

Coordinator
CONSORZIO INTERUNIVERSITARIO NAZIONALE PER L'INFORMATICA 

Organization address
address: VIA ARIOSTO 25
city: ROMA
postcode: 185
website: www.consorzio-cini.it

contact info
title: n.a.
name: n.a.
surname: n.a.
function: n.a.
email: n.a.
telephone: n.a.
fax: n.a.

 Coordinator Country Italy [IT]
 Total cost 299˙953 €
 EC max contribution 299˙953 € (100%)
 Programme 1. H2020-EU.3.4.8. (Shift2Rail JU)
 Code Call H2020-S2RJU-OC-2019
 Funding Scheme Shift2Rail-RIA
 Starting year 2019
 Duration (year-month-day) from 2019-12-01   to  2022-11-30

 Partnership

Take a look of project's partnership.

# participants  country  role  EC contrib. [€] 
1    CONSORZIO INTERUNIVERSITARIO NAZIONALE PER L'INFORMATICA IT (ROMA) coordinator 77˙500.00
2    UNIVERSITY OF LEEDS UK (LEEDS) participant 107˙818.00
3    TECHNISCHE UNIVERSITEIT DELFT NL (DELFT) participant 71˙510.00
4    LINNEUNIVERSITETET SE (VAXJO) participant 43˙125.00

Map

 Project objective

'The overall objective of the RAILS research project is to investigate the potential of Artificial Intelligence (A.I.) approaches in the rail sector and contribute to the definition of roadmaps for future research in next generation signalling systems, operational intelligence, and network management. RAILS will address the training of PhD students to support the research capacity in A.I. within the rail sector across Europe by involving research institutions in four different countries with a combined background in both computer science and transportation systems. RAILS will produce knowledge, ground breaking research and experimental proof-of-concepts for the adoption of A.I. in rail automation, predictive maintenance and defect detection, traffic planning and capacity optimization. To that aim, RAILS will combine A.I. paradigms with the Internet of Things, in order to leverage on the big amount of data generated by smart sensors and applications. The research activities will be conducted in continuity with ongoing research in railways, but the methodological and technological concepts developed in RAILS are expected to stimulate further innovation providing new research directions to improve reliability, maintainability, safety, security, and performance. With respect to safety, emerging threats and certification issues will be addressed when adopting A.I. in autonomous and cooperative driving, based on the concepts of 'explainable A.I.' and 'Trustworthy AI'. With respect to cyber-physical threat detection, innovative approaches will be developed based on A.I. models like Artificial Neural Networks and Bayesian Networks together with multi-sensor data fusion and artificial vision. Resilience and optimization techniques based on genetic algorithms and self-healing will be addressed to face failures and service disruptions as well as to increase efficiency and line capacity. All those techniques will pave the way to the development of the new 'Railway 4.0'.

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The information about "RAILS" are provided by the European Opendata Portal: CORDIS opendata.

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