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TRIMIS

Roadmaps for A.I. integration in the raiL Sector

RAILS

Roadmaps for A.I. integration in the raiL Sector

Call for proposal: 
H2020-S2RJU-OC-2019
Link to CORDIS:
Objectives: 

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"".

Institution Type:
Institution Name: 
European Commission
Type of funding:
Lead Organisation: 

Consorzio Interuniversitario Nazionale Per L'informatica

Address: 
VIA ARIOSTO 25
00185 ROMA
Italy
EU Contribution: 
€77,500
Partner Organisations: 

Linneuniversitetet

Address: 
LINNAEUS UNIVERSITY
35195 VAXJO
Sweden
EU Contribution: 
€43,125

University Of Leeds

Address: 
Institute For Transport Studies, University Of Leeds, 41 University Road
Leeds
LS2 9JT
United Kingdom
EU Contribution: 
€107,819

Technische Universiteit Delft

Address: 
STEVINWEG 1
2628 CN DELFT
Netherlands
EU Contribution: 
€71,510
Technologies: 
Development phase: