Publications

Below are some of my most recent and significant publications. For a complete list, please refer to my Google Scholar page .

Journal Papers

  1. Aoun J., Goverde, R. M. P., Nardone, R., Quaglietta, E., Vittorini, V.; Analysis of safe and effective next-generation rail signalling systems. Transportation Research Part C: Emerging Technologies 162, (2024). [Link]
  2. Pappaterra, M. J.; Flammini, F.; Vittorini, V.; Besinovic, N.; A Systematic Review of Artificial Intelligence Public Datasets for Railway Applications. Infrastructures 2021, 6, 136. [Link]
  3. Rajabli, N.; Flammini, F.; Nardone, R.; Vittorini, V.; Software Verification and Validation of Safe Autonomous Cars: A Systematic Literature Review. IEEE Access 9: 4797-4819 (2021). [Link]
  4. Bešinović, N. et al. Artificial Intelligence in Railway Transport: Taxonomy, Regulations, and Applications, IEEE Transactions on Intelligent Transportation Systems, vol. 23, no. 9, pp. 14011-14024, Sept. 2022. [Link]
  5. Tang, R., De Donato, L., Bešinović, N., Flammini, F., Goverde, R. M. P., Lin, Z., Liu, R., Tang, T., Vittorini, V., Wang, Z., A literature review of Artificial Intelligence applications in railway systems. Transportation Research Part C: Emerging Technologies, Volume 140, 2022, 103679. [Link]
  6. De Donato, L. D. et al., A Survey on Audio-Video Based Defect Detection Through Deep Learning in Railway Maintenance. IEEE Access, vol. 10, pp. 65376-65400, 2022. [Link]
  7. 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). [Link]
  8. De Donato, L., Marrone, S., Flammini, F., Sansone, C., Vittorini, V., Nardone, R., Mazzariello, C., Bernaudin, F., Intelligent Detection of Warning Bells at Level Crossings through Deep Transfer Learning for Smarter Railway Maintenance, Engineering Application of Artificial Intelligence, 2023. [Link]
  9. De Donato, L., Dirnfeld, R., Somma, A., De Benedictis, A., Flammini, F., Marrone, S., Mehdi Saman Azari, M. S., Vittorini, V., Towards AI-Assisted Digital Twins for Smart Railways: Preliminary Guideline and Reference Architecture, Journal of Reliable Intelligent Environments, 2023. [Link]

Conference Papers

  1. Flammini, F., Marrone, S., Nardone, R., Sanwal, U., Seceleanu, C., Verde, L., Vittorini, V.; Railway switch control modeling in European train control system level 3. International Symposium on Leveraging Applications of Formal Methods, pp. 174-189, 2024. [Link]
  2. 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. [Link]
  3. Dirnfeld, R., De Donato, L., Flammini, F., Azari, M. S., Vittorini, V. (2022). Railway Digital Twins and Artificial Intelligence: Challenges and Design Guidelines. In: Dependable Computing – EDCC 2022 Workshops. EDCC 2022. Communications in Computer and Information Science, vol 1656. Springer, Cham. [Link]
  4. Dirnfeld, R., Flammini, F., Marrone, S., Nardone, R., Vittorini, V., Low-Power Wide-Area Networks in Intelligent Transportation: Review and Opportunities for Smart-Railways. ITSC 2020: 1-7. [Link]

Last Update: March 2025