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Building a credible case for safety: Approach proposal for Automated Driving Systems.

Francesca Margherita Favarò1, Laura Fraade-Blanar1, Scott Schnelle1

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Summary
This summary is machine-generated.

This paper presents a systematic approach for creating safety cases for Automated Driving Systems (ADS) without drivers. It defines safety as the absence of unreasonable risk, offering adaptable methods for evaluating ADS readiness.

Keywords:
Absence of Unreasonable RiskArgumentationAutomated Driving SystemsRisk Assessment and ManagementSafety CaseSafety Determination

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Area of Science:

  • Automotive Engineering
  • Robotics
  • Systems Safety

Background:

  • Developing safety cases for driverless Automated Driving Systems (ADS) requires a clear understanding of credibility and evaluation criteria.
  • Current approaches necessitate a formal explanation of system safety, development methodologies, validation metrics, and test results.
  • The concept of safety is framed around the 'absence of unreasonable risk,' aligning with modern safety standards.

Purpose of the Study:

  • To outline a systematic methodology for constructing safety cases for driverless ADS.
  • To provide foundational insights into determining ADS deployment readiness and justifying the sufficiency and credibility of acceptance criteria.
  • To establish alignment on evaluation criteria for ADS safety cases.

Main Methods:

  • A structured approach is presented, focusing on principles and methodologies rather than proprietary results.
  • The framework is organized around three perspectives: layered, dynamic, and credible safety.
  • The approach is technology- and methodology-agnostic, applicable to SAE Level 4 ADS and beyond.

Main Results:

  • The paper proposes a foundational framework for evaluating ADS safety cases.
  • It emphasizes the importance of justifying the adequacy and credibility of safety acceptance criteria.
  • The methodology is designed to be adaptable for various entities in the autonomous driving field.

Conclusions:

  • A systematic and adaptable approach to ADS safety case development is crucial for public road deployment.
  • Defining safety as the absence of unreasonable risk provides a practical standard for driverless systems.
  • The proposed framework supports the creation of credible and well-justified safety cases for Automated Driving Systems.