How Unsafe was the Scenario? A Criticality Measure for Scenario-Based Testing of Automated Vehicles

Scenario-Based Testing (SBT) is the most widely used method for safety assurance of Automated Driving System equipped Vehicles (ADS-Vs). To comply with ISO 21448, a key standard for ADS-V safety assurance, SBT can be formulated as an optimization problem to identify unknown hazardous scenarios within the ADS-V's Operational Design Domain. To identify hazardous scenarios through optimization, an appropriate cost function for scenario hazardous-ness is needed that satisfies specific requirements. Existing criticality measures in the literature do not satisfy these requirements. We interpret scenario hazardous-ness as the proximity to a collision for the ADS-V. We propose a Criticality Measure (CM) using the set of alternative futures of a Reference Vehicle (RV) following the trajectory of the ADS-V. The CM indicates the proximity to a collision, both in time and space. The proposed CM provides a posteriori knowledge about the criticality of a scenario already generated by the optimization where the future evolution of every scene is available. To showcase the developed CM, multiple scenarios in two road networks, an intersection, and a highway segment are evaluated for criticality. We briefly discuss how to incorporate the severity of collisions/potential future collisions in the CM. The possible extensions and limitations of the proposed CM are discussed.

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Published
2025-06-22
DOI
https://doi.org/10.1109/iv64158.2025.11097344
Primary Topic
Safety Systems Engineering in Autonomy
Type
article
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article

How Unsafe was the Scenario? A Criticality Measure for Scenario-Based Testing of Automated Vehicles

Nathan van de Wouw, Jeroen Ploeg, Erjen Lefeber, Mohsen Alirezaei et al.
Safety Systems Engineering in Autonomy
article

How Unsafe was the Scenario? A Criticality Measure for Scenario-Based Testing of Automated Vehicles

Nathan van de Wouw, Jeroen Ploeg, Erjen Lefeber, Mohsen Alirezaei, Igo Besselink, Kevin Tom Kurian, Nishant Rajesh
article en

Abstract

Scenario-Based Testing (SBT) is the most widely used method for safety assurance of Automated Driving System equipped Vehicles (ADS-Vs). To comply with ISO 21448, a key standard for ADS-V safety assurance, SBT can be formulated as an optimization problem to identify unknown hazardous scenarios within the ADS-V's Operational Design Domain. To identify hazardous scenarios through optimization, an appropriate cost function for scenario hazardous-ness is needed that satisfies specific requirements. Existing criticality measures in the literature do not satisfy these requirements. We interpret scenario hazardous-ness as the proximity to a collision for the ADS-V. We propose a Criticality Measure (CM) using the set of alternative futures of a Reference Vehicle (RV) following the trajectory of the ADS-V. The CM indicates the proximity to a collision, both in time and space. The proposed CM provides a posteriori knowledge about the criticality of a scenario already generated by the optimization where the future evolution of every scene is available. To showcase the developed CM, multiple scenarios in two road networks, an intersection, and a highway segment are evaluated for criticality. We briefly discuss how to incorporate the severity of collisions/potential future collisions in the CM. The possible extensions and limitations of the proposed CM are discussed.

Siemens (Netherlands) (NL), Eindhoven University of Technology (NL)
Openalex Percentile: Top 76%
Safety Systems Engineering in Autonomy
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How Unsafe was the Scenario? A Criticality Measure for Scenario-Based Testing of Automated Vehicles — Nathan van de Wouw, Jeroen Ploeg, et al. · (2025) | TGRS Research Map | TGRS