Descripción del proyecto
Camino de modernizar los trenes europeos
El objetivo fundamental de la política de transporte de la Unión Europea (UE) es la revitalización del ferrocarril. Si se quiere que este compita satisfactoriamente con otros modos de transporte, se tiene que modernizar el sector (especialmente a través de la introducción de nuevas tecnologías). El proyecto financiado con fondos europeos CIPHER RAILS investigará el potencial de los enfoques de la inteligencia artificial (IA) en el sector ferroviario. Elaborará hojas de ruta para futuras investigaciones en materia de sistemas de señalización de próxima generación, inteligencia operativa y gestión de redes. Al reunir a instituciones de investigación de cuatro países europeos, el proyecto fomentará la participación de doctorandos en la investigación de IA para el sector del ferrocarril. Con el fin de preparar el terreno para el desarrollo del nuevo Ferrocarril 4.0 el proyecto investigará amenazas de nueva aparición y problemas relativos a la certificación que deben resolverse.
Objetivo
"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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Ámbito científico
- 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
Palabras clave
Programa(s)
Convocatoria de propuestas
Consulte otros proyectos de esta convocatoriaConvocatoria de subcontratación
H2020-S2RJU-OC-2019
Régimen de financiación
RIA - Research and Innovation actionCoordinador
00185 Roma
Italia