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CORDIS - Risultati della ricerca dell’UE
CORDIS

Building a community of railway scientific researchers and academia for ERJU and enabling a network of PhDs (academia teaming with industry)

CORDIS fornisce collegamenti ai risultati finali pubblici e alle pubblicazioni dei progetti ORIZZONTE.

I link ai risultati e alle pubblicazioni dei progetti del 7° PQ, così come i link ad alcuni tipi di risultati specifici come dataset e software, sono recuperati dinamicamente da .OpenAIRE .

Risultati finali

D9.1 AI-based Driving Assistance (si apre in una nuova finestra)

Report on defining a new way to design and validate AI-based driving assistance by respecting constraints like energy consumption, fatigue or driver attention

D2.1 Architecture and working plan of the continuous ERJU scientific observatory (si apre in una nuova finestra)

Scientific observatory of ERJU actions

D6.1 Additive Manufacturing (AM) to reprofiling railway wheels worn by use (si apre in una nuova finestra)

Report of the study of metallic additive manufacturing technology as an alternative to be used in the reprofiling of railway wheels. Analysis of mechanical and economic feasibility..

D10.1 Dissemination, Communication and Exploitation Plan (si apre in una nuova finestra)

This deliverable will consist in a Plan containing the developed objectives and actions stated in task 10.1 to ensure an effective communication and dissemination of the project and its results as well as the use of the former for the benefit of society, science, academia, industry and/or policy. It will be revised and actualized throughout the project. This deliverable will consist as well in a Document, electronic document repository and mailing list. It refers to task 10.2 and will include templates for all classes of project documents, including: editable deliverables, newsletters, electronic material for social media communications, and banners for events. A final report on dissemination will be issued in M42.

D10.2 Quality Assurance and Risk Management Plan (si apre in una nuova finestra)

This deliverable refers to task 10.4 and will consist in a Document containing the rules and procedures with regard to content and format to ensure that all PhD programmes meet the required standard and the same structure. This deliverable refers as well to task 10.4 and will consist in a report containing the nature and degree of potential risks the project may face during its development and implementation phases including suggested measures for risk mitigation

D4.1 Scientific study of the aerodynamics of high-speed freight trains (si apre in una nuova finestra)

Analysis of aerodynamic effects on freight trains and recommendations for standards

D2.2 Position paper on detected research gaps and proposals to cover them (si apre in una nuova finestra)

List of research gaps and measures to cover them

D7.1 Digital communications for virtual coupling (si apre in una nuova finestra)

Dependability analysis of the wireless communication system for Virtual coupling of automatic trains – The case of platooning.

Pubblicazioni

A review of freight train aerodynamics (si apre in una nuova finestra)

Autori: Luca Corniani, Paolo Schito, James Bell, Stefano Bruni
Pubblicato in: Proceedings of the Institution of Mechanical Engineers, Part F: Journal of Rail and Rapid Transit, Numero 240, 2026, ISSN 0954-4097
Editore: SAGE Publications
DOI: 10.1177/09544097251382265

Towards artificial intelligence based rail driving assistance tool (si apre in una nuova finestra)

Autori: Jean-Valentin Merlevede, Simon Enjalbert, Frédéric Vanderhaegen, Francesco Flammini
Pubblicato in: ITM Web of Conferences, Numero 69, 2024, ISSN 2271-2097
Editore: EDP Sciences
DOI: 10.1051/ITMCONF/20246903005

Grades of operational and tactical automation in rail domain for an artificial intelligence driving assistance system (si apre in una nuova finestra)

Autori: Jean-Valentin Merlevede, Simon Enjalbert, Frédéric Vanderhaegen
Pubblicato in: Cognition, Technology & Work, 2025, ISSN 1435-5558
Editore: Springer Science and Business Media LLC
DOI: 10.1007/S10111-025-00847-0

Undulatory wear on tram rails: Triggers and prediction towards wear management (si apre in una nuova finestra)

Autori: Rakel Robles , Nekane Correa , Ernesto G. Vadillo , Javier Santamaria
Pubblicato in: Wear, 2025, ISSN 0043-1648
Editore: Elsevier
DOI: 10.1016/j.wear.2025.204047

From Written to Digital Commands in German Railway Operations – Challenges and Opportunities (si apre in una nuova finestra)

Autori: Bekir ARSLAN, Birgit MILIUS
Pubblicato in: Promet - Traffic&Transportation, Numero 38, 2026, ISSN 1848-4069
Editore: Faculty of Transport and Traffic Sciences
DOI: 10.7307/PTT.V38I1.1096

Future Generation Computer Systems (si apre in una nuova finestra)

Autori: Simone Guarino; Luca Faramondi; Gabriele Oliva; Ernesto Del Prete; Francesco Flammini; Roberto Setola
Pubblicato in: Future Generation Computer Systems, 2026, ISSN 0167-739X
Editore: Elsevier B.V.
DOI: 10.1016/J.FUTURE.2025.108306

Assessing the Effects of Implementing Railway Technological Innovations on the Competencies of Logistics Specialists (si apre in una nuova finestra)

Autori: Gintautas BUREIKA, Kristina VAIČIŪTĖ, Valerii SAMSONKIN
Pubblicato in: Promet - Traffic&Transportation, Numero 38, 2026, ISSN 1848-4069
Editore: Faculty of Transport and Traffic Sciences
DOI: 10.7307/PTT.V38I1.1159

Performance evaluation of railway wheels repaired through laser directed energy deposition (DED-LB) (si apre in una nuova finestra)

Autori: Aizpea Urresti, Jon Iñaki Arrizubieta, Jon Hernandez, Amaia Alberdi, Mikel Ortiz, Aitzol Lamikiz, Javier Santamaría
Pubblicato in: The International Journal of Advanced Manufacturing Technology, 2025, ISSN 0268-3768
Editore: Springer Science and Business Media LLC
DOI: 10.1007/S00170-025-16894-W

Designing an Artificial Intelligence Driving Assistance System (AIDAS) for train drivers (si apre in una nuova finestra)

Autori: Merlevede, Jean-Valentin; Enjalbert, Simon; Vanderhaegen, Frédéric; Flammini, Francesco
Pubblicato in: IFAC-PapersOnLine, 2025, ISSN 2405-8963
Editore: Elsevier B.V.
DOI: 10.1016/J.IFACOL.2025.12.545

Women in the Railway Sector – A Bibliometric Analysis of the Last Ten Years’ Scientific Production (si apre in una nuova finestra)

Autori: María José BERMEJO-BARRERO, Isabel RUIZ-MORA, Sergio POSTIGO-POZO, Juan Jesús CASTILLO-AGUILAR
Pubblicato in: Promet - Traffic&Transportation, Numero 38, 2026, ISSN 1848-4069
Editore: Faculty of Transport and Traffic Sciences
DOI: 10.7307/PTT.V38I1.3094

Experimental evaluation of novel alloy powders for extending service life of railway wheels worn by use (si apre in una nuova finestra)

Autori: Jon Hernandez-Martinez , Javier Santamaria , Jon Iñaki Arrizubieta , Nekane Correa
Pubblicato in: Wear, 2025, ISSN 0043-1648
Editore: Elsevier
DOI: 10.1016/J.WEAR.2025.204214

Aerodynamics of Freight Trains – Addressing the Complexity of Train Geometry through an Open Database (si apre in una nuova finestra)

Autori: Luca CORNIANI, Paolo SCHITO, James BELL, Joao POMBO, Stefano BRUNI
Pubblicato in: Promet - Traffic&Transportation, Numero 38, 2026, ISSN 1848-4069
Editore: Faculty of Transport and Traffic Sciences
DOI: 10.7307/PTT.V38I1.3096

Opportunities and Risks of Generative AI in Model-Based Engineering of Railway Systems (si apre in una nuova finestra)

Autori: Francesco Flammini, Arianna Nocente, Cinzia Bernardeschi, Valeria Vittorini
Pubblicato in: Lecture Notes in Computer Science, Journeys Between Formal Methods and the Railway Industry, 2026
Editore: Springer Nature Switzerland
DOI: 10.1007/978-3-032-12484-5_6

CPN-Based Modelling to Assess Dependability of Train-to-Train Wireless Communication for Virtual Coupling (si apre in una nuova finestra)

Autori: Getachew Hagos Geleta, Marion Berbineau, Simon Collart-Dutilleul, Francesco Flammini
Pubblicato in: Lecture Notes in Computer Science, Reliability, Safety, and Security of Railway Systems. Modelling, Analysis, Verification, and Certification, 2025
Editore: Springer Nature Switzerland
DOI: 10.1007/978-3-032-10762-6_13

Run-Time Monitoring of ERTMS/ETCS Control Flow by Process Mining (si apre in una nuova finestra)

Autori: Francesco Vitale, Tommaso Zoppi, Francesco Flammini, Nicola Mazzocca
Pubblicato in: Lecture Notes in Computer Science, Reliability, Safety, and Security of Railway Systems. Modelling, Analysis, Verification, and Certification, 2025
Editore: Springer Nature Switzerland
DOI: 10.1007/978-3-032-10762-6_15

A4R-Freight-Train-Model-Geometries

Autori: Luca Corniani (Politecnico Milano)
Pubblicato in: GitHub, 2024
Editore: GitHub

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