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RAILS SIGNED

Roadmaps for A.I. integration in the raiL Sector

Total Cost €

EC-Contrib. €

Partnership

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RAILS project word cloud

Explore the words cloud of the RAILS project. It provides you a very rough idea of what is the project "RAILS" about.

line automation directions artificial networks models pave physical self railway maintainability stimulate generation maintenance techniques intelligence ai rail bayesian efficiency roadmaps background computer definition sensors transportation technological innovation data adopting algorithms predictive reliability performance network rails internet threat sensor capacity autonomous safety certification cyber experimental ground ongoing service traffic resilience vision explainable continuity signalling driving big cooperative training countries combined defect combine paradigms planning phd security science genetic amount healing disruptions threats innovative proof respect trustworthy adoption railways optimization detection neural methodological failures breaking leverage things fusion students smart

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 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.	IT (ROMA)	coordinator	77˙500.00
2	UNIVERSITY OF LEEDS UNIVERSITY OF LEEDS Organization address address: WOODHOUSE LANE city: LEEDS postcode: LS2 9JT website: www.leeds.ac.uk contact info title: n.a. name: n.a. surname: n.a. function: n.a. email: n.a. telephone: n.a. fax: n.a.	UK (LEEDS)	participant	107˙818.00
3	TECHNISCHE UNIVERSITEIT DELFT TECHNISCHE UNIVERSITEIT DELFT Organization address address: STEVINWEG 1 city: DELFT postcode: 2628 CN website: www.tudelft.nl contact info title: n.a. name: n.a. surname: n.a. function: n.a. email: n.a. telephone: n.a. fax: n.a.	NL (DELFT)	participant	71˙510.00
4	LINNEUNIVERSITETET LINNEUNIVERSITETET Organization address address: LINNAEUS UNIVERSITY city: VAXJO postcode: 35195 website: www.lnu.se contact info title: n.a. name: n.a. surname: n.a. function: n.a. email: n.a. telephone: n.a. fax: n.a.	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.