2022•Sixth International Conference on Electromechanical Control Technology and Transportation (ICECTT 2021)Requires access

Application and comparison of STPA and functional safety analysis in ACC system

Xianzhao Xia, Wenxia Xi, Hongpeng Li, Yang Wang

Open publisher page 4 citations

Abstract

Autonomous vehicles are universally considered to be safety-critical systems, and failures in autonomous vehicles may have catastrophic consequences. Safety analysis and hazard identification of this system have become increasingly significant. However, difficulties are associated with analyzing appropriate safety requirements, including functional safety and the safety of the intended functionality (SOTIF). Functional safety analysis (HAZOP/HARA/FTA) and systems theoretic process analysis (STPA) is an efficient technique to identify potential failure hazards or safety requirements in autonomous driving system. In this paper, a technique integrating which STPA and functional safety analysis (HAZOP/HARA/FTA) is proposed to perform failure analysis and hazard identification in adaptive cruise control (ACC) system, which better identify potential failure and hazards, derive safety goals, ASIL level, safety constraints and safety requirements. Compared with functional safety analysis method, STPA can obtain the requirements of avoiding component failure, and it also focuses on component interactions and personnel decision error, which covers a wider range and provides more cognitive safety requirements for the design and analysis of intelligent driving system.

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What this paper is about

Autonomous vehicles are universally considered to be safety-critical systems, and failures in autonomous vehicles may have catastrophic consequences. Safety analysis and hazard identification of this system have become increasingly significant. However, difficulties are associated with analyzing appropriate safety requirements, including functional safety and the safety of the intended functionality (SOTIF). Functional safety analysis (HAZOP/HARA/FTA) and systems theoretic process analysis (STPA) is an efficient technique to identify potential failure hazards or safety requirements in autonomous driving system. In this paper, a technique integrating which STPA and functional safety analysis (HAZOP/HARA/FTA) is proposed to perform failure analysis and hazard identification in adaptive cruise control (ACC) system, which better identify potential failure and hazards, derive safety goals, ASIL level, safety constraints and safety requirements. Compared with functional safety analysis method, STPA can obtain the requirements of avoiding component failure, and it also focuses on component interactions and personnel decision error, which covers a wider range and provides more cognitive safety requirements for the design and analysis of intelligent driving system.

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Available abstract

Autonomous vehicles are universally considered to be safety-critical systems, and failures in autonomous vehicles may have catastrophic consequences. Safety analysis and hazard identification of this system have become increasingly significant. However, difficulties are associated with analyzing appropriate safety requirements, including functional safety and the safety of the intended functionality (SOTIF). Functional safety analysis (HAZOP/HARA/FTA) and systems theoretic process analysis (STPA) is an efficient technique to identify potential failure hazards or safety requirements in autonomous driving system. In this paper, a technique integrating which STPA and functional safety analysis (HAZOP/HARA/FTA) is proposed to perform failure analysis and hazard identification in adaptive cruise control (ACC) system, which better identify potential failure and hazards, derive safety goals, ASIL level, safety constraints and safety requirements. Compared with functional safety analysis method, STPA can obtain the requirements of avoiding component failure, and it also focuses on component interactions and personnel decision error, which covers a wider range and provides more cognitive safety requirements for the design and analysis of intelligent driving system.

Key concepts: Hazard and operability study, Hazard analysis, System safety, Functional safety, Reliability engineering, Risk analysis (engineering), Identification (biology), Engineering

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