Journal Papers

  • Pappaterra, M.J.; Flammini, F.; Vittorini, V.; Besinovic, N.; A Systematic Review of Artificial Intelligence Public Datasets for Railway Applications. Infrastructures 2021, 6, 136.
  • Nijat Rajabli, Francesco Flammini, Roberto Nardone, Valeria Vittorini: Software Verification and Validation of Safe Autonomous Cars: A Systematic Literature Review. IEEE Access 9: 4797-4819 (2021).
  • N. Bešinović et al., “Artificial Intelligence in Railway Transport: Taxonomy, Regulations, and Applications,” in IEEE Transactions on Intelligent Transportation Systems, vol. 23, no. 9, pp. 14011-14024, Sept. 2022,
  • Ruifan Tang, Lorenzo De Donato, Nikola Bes̆inović, Francesco Flammini, Rob M.P. Goverde, Zhiyuan Lin, Ronghui Liu, Tianli Tang, Valeria Vittorini, Ziyulong Wang, A literature review of Artificial Intelligence applications in railway systems,
    Transportation Research Part C: Emerging Technologies, Volume 140, 2022, 103679, ISSN 0968-090X,
  • L. D. Donato et al., “A Survey on Audio-Video Based Defect Detection Through Deep Learning in Railway Maintenance,” in IEEE Access, vol. 10, pp. 65376-65400, 2022,
  • Basile, G., Napoletano, E., Petrillo, A. et al. Roadmap and challenges for reinforcement learning control in railway virtual coupling. Discov Artif Intell 2, 27 (2022).
  • Lorenzo De Donato, Stefano Marrone, Francesco Flammini, Carlo Sansone, Valeria Vittorini, Roberto Nardone, Claudio Mazzariello, and Frédéric Bernaudin, Intelligent Detection of Warning Bells at Level Crossings through Deep Transfer Learning for Smarter Railway Maintenance, Engineering Application of Artificial Intelligence, 2023.
  • Lorenzo De Donato, Ruth Dirnfeld, Alessandra Somma, Alessandra De Benedictis, Francesco Flammini, Stefano Marrone, Mehdi Saman Azari, and Valeria Vittorini, Towards AI-Assisted Digital Twins for Smart Railways: Preliminary Guideline and Reference Architecture, Journal of Reliable Intelligent Environments, (Accepted)  2023.

Book Chapters

  •  Lorenzo De Donato, Ruifan Tang, Nikola Bes̆inović, Francesco Flammini, Rob M.P. Goverde, Zhiyuan Lin, Ronghui Liu, Stefano Marrone, Elena Napoletano, Roberto Nardone, Stefania Santini, Valeria Vittorini, Artificial Intelligence in Railways: Current Applications, Challenges, and Ongoing Research”, Handbook on Artificial Intelligence and Transport, (Accepted) 2023.

Conference Papers

  • Ruth Dirnfeld, Francesco Flammini, Stefano Marrone, Roberto Nardone, Valeria Vittorini, Low-Power Wide-Area Networks in Intelligent Transportation: Review and Opportunities for Smart-Railways. ITSC 2020: 1-7
  • Flammini, F., De Donato, L., Fantechi, A., Vittorini, V. (2022). A Vision of Intelligent Train Control. In: Collart-Dutilleul, S., Haxthausen, A.E., Lecomte, T. (eds) Reliability, Safety, and Security of Railway Systems. Modelling, Analysis, Verification, and Certification. RSSRail 2022. Lecture Notes in Computer Science, vol 13294. Springer, Cham.
  • Dirnfeld, R., De Donato, L., Flammini, F., Azari, M.S., Vittorini, V. (2022). Railway Digital Twins and Artificial Intelligence: Challenges and Design Guidelines. In: , et al. Dependable Computing – EDCC 2022 Workshops. EDCC 2022. Communications in Computer and Information Science, vol 1656. Springer, Cham.
  • De Donato, Lorenzo & Flammini, Francesco & Marrone, Stefano & Nardone, Roberto & Vittorini, Valeria. (2022). Trustworthy AI for safe autonomy of smart railways: directions and lessons learnt from other sectors. World Congress on Railway Research 2022.



  • Master dissertation:  Lorenzo De Donato, Deep Learning for Audio Detection and Video Analysis in Railway Applications, Department of Electrical Engineering and Information Technologies of the University of Naples Federico II – Download here:  MSc Thesis – Lorenzo De Donato