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Recent Advancements in Automated Vehicle Certification: How the Experience from the Nuclear Sector Contributed to Making Them a Reality

Author

Listed:
  • Riccardo Donà

    (Uni Systems Italy, Via Michelangelo Buonarroti 39, 20145 Milan, Italy)

  • Biagio Ciuffo

    (European Commission, Joint Research Centre (JRC), 21027 Ispra, Italy)

  • Anastasios Tsakalidis

    (European Commission, Joint Research Centre (JRC), 21027 Ispra, Italy)

  • Lorenzo Di Cesare

    (European Commission, Joint Research Centre (JRC), 21027 Ispra, Italy)

  • Calogero Sollima

    (European Commission, Joint Research Centre (JRC), 21027 Ispra, Italy)

  • Marco Sangiorgi

    (European Commission, Joint Research Centre (JRC), 21027 Ispra, Italy)

  • Maria Cristina Galassi

    (European Commission, Joint Research Centre (JRC), 21027 Ispra, Italy)

Abstract

The current paper discusses the most recent advancements in automated vehicle (AV) certification and how existing regulations/best practices from the nuclear field helped make AVs a reality. In particular, three main pillars differentiate the newly devised certification frameworks from previous automotive regulations: the introduction of a safety management system , the adoption of in-service monitoring and reporting data logging systems, and the use of virtual testing to demonstrate the safety of the AV; a set of pillars that are also found in the nuclear practice. The argumentation is informed by relevant literature and shared experiences from the nuclear power plant and transportation fields where there are established safety practices to manage safety-critical cyber-physical systems. Although the nuclear and transportation fields might seem unrelated, strong synergies were found, including risk management approaches and operational data collection procedures, which supported the timely drafting of the new regulation for AVs. Nonetheless, some open challenges remain due to peculiar aspects of AVs that will need to be addressed in the near future. Namely, practical methodologies for the residual-risk calculation for the various Operational Design Domains (ODDs), the design of scalable monitoring techniques, and the definition of detailed procedures for the virtual testing tool qualification.

Suggested Citation

  • Riccardo Donà & Biagio Ciuffo & Anastasios Tsakalidis & Lorenzo Di Cesare & Calogero Sollima & Marco Sangiorgi & Maria Cristina Galassi, 2022. "Recent Advancements in Automated Vehicle Certification: How the Experience from the Nuclear Sector Contributed to Making Them a Reality," Energies, MDPI, vol. 15(20), pages 1-17, October.
  • Handle: RePEc:gam:jeners:v:15:y:2022:i:20:p:7704-:d:946368
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    References listed on IDEAS

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    1. Agnieszka Bekisz & Magdalena Kowacka & Michał Kruszyński & Dominika Dudziak-Gajowiak & Grzegorz Debita, 2022. "Risk Management Using Network Thinking Methodology on the Example of Rail Transport," Energies, MDPI, vol. 15(14), pages 1-19, July.
    2. Kalra, Nidhi & Paddock, Susan M., 2016. "Driving to safety: How many miles of driving would it take to demonstrate autonomous vehicle reliability?," Transportation Research Part A: Policy and Practice, Elsevier, vol. 94(C), pages 182-193.
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