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Systems Approach to Creating Test Scenarios for Automated Driving Systems

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  • Khastgir, Siddartha
  • Brewerton, Simon
  • Thomas, John
  • Jennings, Paul

Abstract

Increased safety has been advocated as one of the major benefits of the introduction of Automated Driving Systems (ADSs). Incorporation of ADSs in vehicles means that associated software has safety critical application, thus requiring exhaustive testing. To prove ADSs are safer than human drivers, some work has suggested that they will need to be driven for over 11 billion miles. The number of test miles driven is not, by itself, a meaningful metric for judging the safety of ADSs. Rather, the types of scenarios encountered by the ADSs during testing are critically important.

Suggested Citation

  • Khastgir, Siddartha & Brewerton, Simon & Thomas, John & Jennings, Paul, 2021. "Systems Approach to Creating Test Scenarios for Automated Driving Systems," Reliability Engineering and System Safety, Elsevier, vol. 215(C).
  • Handle: RePEc:eee:reensy:v:215:y:2021:i:c:s0951832021001551
    DOI: 10.1016/j.ress.2021.107610
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    References listed on IDEAS

    as
    1. Dodd, Ian & Habli, Ibrahim, 2012. "Safety certification of airborne software: An empirical study," Reliability Engineering and System Safety, Elsevier, vol. 98(1), pages 7-23.
    2. Bolbot, Victor & Theotokatos, Gerasimos & Bujorianu, Luminita Manuela & Boulougouris, Evangelos & Vassalos, Dracos, 2019. "Vulnerabilities and safety assurance methods in Cyber-Physical Systems: A comprehensive review," Reliability Engineering and System Safety, Elsevier, vol. 182(C), pages 179-193.
    3. Mahajan, Haneet Singh & Bradley, Thomas & Pasricha, Sudeep, 2017. "Application of systems theoretic process analysis to a lane keeping assist system," Reliability Engineering and System Safety, Elsevier, vol. 167(C), pages 177-183.
    4. Vanslette, Kevin & Tohme, Tony & Youcef-Toumi, Kamal, 2020. "A general model validation and testing tool," Reliability Engineering and System Safety, Elsevier, vol. 195(C).
    5. Denney, Ewen & Pai, Ganesh & Whiteside, Iain, 2019. "The role of safety architectures in aviation safety cases," Reliability Engineering and System Safety, Elsevier, vol. 191(C).
    6. Read, G.J.M. & Naweed, A. & Salmon, P.M., 2019. "Complexity on the rails: A systems-based approach to understanding safety management in rail transport," Reliability Engineering and System Safety, Elsevier, vol. 188(C), pages 352-365.
    7. Wróbel, Krzysztof & Montewka, Jakub & Kujala, Pentti, 2018. "Towards the development of a system-theoretic model for safety assessment of autonomous merchant vessels," Reliability Engineering and System Safety, Elsevier, vol. 178(C), pages 209-224.
    8. Jensen, Anders & Aven, Terje, 2018. "A new definition of complexity in a risk analysis setting," Reliability Engineering and System Safety, Elsevier, vol. 171(C), pages 169-173.
    9. Leveson, Nancy, 2015. "A systems approach to risk management through leading safety indicators," Reliability Engineering and System Safety, Elsevier, vol. 136(C), pages 17-34.
    10. Levitin, Gregory & Xing, Liudong & Xiang, Yanping, 2020. "Cost minimization of real-time mission for software systems with rejuvenation," Reliability Engineering and System Safety, Elsevier, vol. 193(C).
    11. Stewart, Mark G. & Netherton, Michael D., 2019. "A probabilistic risk-acceptance model for assessing blast and fragmentation safety hazards," Reliability Engineering and System Safety, Elsevier, vol. 191(C).
    12. Bjerga, Torbjørn & Aven, Terje & Zio, Enrico, 2016. "Uncertainty treatment in risk analysis of complex systems: The cases of STAMP and FRAM," Reliability Engineering and System Safety, Elsevier, vol. 156(C), pages 203-209.
    13. Levitin, Gregory & Finkelstein, Maxim & Dai, Yuanshun, 2020. "Mission abort policy optimization for series systems with overlapping primary and rescue subsystems operating in a random environment," Reliability Engineering and System Safety, Elsevier, vol. 193(C).
    14. Zio, E., 2018. "The future of risk assessment," Reliability Engineering and System Safety, Elsevier, vol. 177(C), pages 176-190.
    15. Chen, Chao & Reniers, Genserik & Khakzad, Nima, 2019. "Integrating safety and security resources to protect chemical industrial parks from man-made domino effects: A dynamic graph approach," Reliability Engineering and System Safety, Elsevier, vol. 191(C).
    16. Rokseth, Børge & Utne, Ingrid Bouwer & Vinnem, Jan Erik, 2018. "Deriving verification objectives and scenarios for maritime systems using the systems-theoretic process analysis," Reliability Engineering and System Safety, Elsevier, vol. 169(C), pages 18-31.
    17. Cuer, Romain & Piétrac, Laurent & Niel, Eric & Diallo, Saidou & Minoiu-Enache, Nicoleta & Dang-Van-Nhan, Christophe, 2018. "A formal framework for the safe design of the Autonomous Driving supervision," Reliability Engineering and System Safety, Elsevier, vol. 174(C), pages 29-40.
    18. 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.
    19. Levitin, Gregory & Xing, Liudong & Luo, Liang, 2019. "Influence of failure propagation on mission abort policy in heterogeneous warm standby systems," Reliability Engineering and System Safety, Elsevier, vol. 183(C), pages 29-38.
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    Cited by:

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    2. Antonello, Federico & Buongiorno, Jacopo & Zio, Enrico, 2022. "A methodology to perform dynamic risk assessment using system theory and modeling and simulation: Application to nuclear batteries," Reliability Engineering and System Safety, Elsevier, vol. 228(C).
    3. Chelouati, Mohammed & Boussif, Abderraouf & Beugin, Julie & El Koursi, El-Miloudi, 2023. "Graphical safety assurance case using Goal Structuring Notation (GSN) — challenges, opportunities and a framework for autonomous trains," Reliability Engineering and System Safety, Elsevier, vol. 230(C).
    4. Bensaci, Chaima & Zennir, Youcef & Pomorski, Denis & Innal, Fares & Lundteigen, Mary Ann, 2023. "Collision hazard modeling and analysis in a multi-mobile robots system transportation task with STPA and SPN," Reliability Engineering and System Safety, Elsevier, vol. 234(C).
    5. Tengilimoglu, Oguz & Carsten, Oliver & Wadud, Zia, 2023. "Implications of automated vehicles for physical road environment: A comprehensive review," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 169(C).

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