Descrizione del progetto
Verso la modernizzazione dei treni europei
Rivitalizzare le ferrovie è un obiettivo fondamentale della politica dei trasporti dell’UE. La modernizzazione del settore, in particolare mediante l’introduzione di nuove tecnologie, è necessaria per consentire al settore ferroviario di competere con successo con altri modi di trasporto. Il progetto RAILS, finanziato dall’UE, esaminerà il potenziale degli approcci basati sull’IA nel settore ferroviario. Elaborerà tabelle di marcia per le ricerche future sui sistemi di segnalamento di prossima generazione, sull’intelligence operativa e sulla gestione della rete. Riunendo istituti di ricerca di quattro paesi europei, il progetto coinvolgerà i dottorandi per sostenere la ricerca sull’intelligenza artificiale nel settore ferroviario. Spianando la strada allo sviluppo della nuova Ferrovia 4.0 il progetto ricercherà le minacce emergenti e le problematiche di certificazione da affrontare.
Obiettivo
"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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Campo scientifico
- natural sciencescomputer and information sciencesinternet
- social sciencessociologyindustrial relationsautomation
- engineering and technologyelectrical engineering, electronic engineering, information engineeringelectronic engineeringsensorssmart sensors
- natural sciencescomputer and information sciencesartificial intelligencecomputational intelligence
Parole chiave
Programma(i)
Invito a presentare proposte
Vedi altri progetti per questo bandoBando secondario
H2020-S2RJU-OC-2019
Meccanismo di finanziamento
RIA - Research and Innovation actionCoordinatore
00185 Roma
Italia