Description du projet
Sur la voie de la modernisation des trains européens
La revitalisation des chemins de fer constitue un objectif clé de la politique commune des transports. Il est nécessaire de moderniser le secteur – notamment en introduisant de nouvelles technologies – pour que le rail puisse rivaliser avec les autres modes de transport. Le projet RAILS, financé par l’UE, étudiera le potentiel des approches basées sur l’IA dans le secteur ferroviaire. Il établira des feuilles de route pour les futures recherches portant sur la prochaine génération de systèmes de signalisation, l’intelligence opérationnelle et la gestion des réseaux. Rassemblant des institutions de recherche provenant de quatre pays européens, le projet fera appel à des doctorants pour soutenir la recherche concernant l’emploi de l’IA dans le secteur ferroviaire. Ouvrant la voie au développement du nouveau chemin de fer 4.0 («Railway 4.0», en anglais), le projet se penchera sur les menaces émergentes et les problématiques de certification devant être abordées.
Objectif
"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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Champ scientifique
- 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
Mots‑clés
Programme(s)
Régime de financement
RIA - Research and Innovation actionCoordinateur
00185 Roma
Italie