Proceedings of the 2022 International Conference on Computer Science, Information Engineering and Digital Economy (CSIEDE 2022)

On ISO 26262 Compliance and Safety Assurance for Autonomous Vehicles using STPA

ISO 26262 Compliance and Safety Assurance using STPA

Authors
Changsheng Gao1, Xuezhu Yang1, Chengrui Sun1, *
1Intelligent Connected Vehicle Development Institute, Changchun, FAW, China
*Corresponding author. Email: sunchengrui@faw.com.cn
Corresponding Author
Chengrui Sun
Available Online 30 December 2022.
DOI
10.2991/978-94-6463-108-1_17How to use a DOI?
Keywords
STPA; STAMP; ISO 26262; Autonomous Vehicle; Safety; Safety Analysis; Hazard identification
Abstract

Recently, the use of electrical and electronic control systems has been increasing in various industries. In particular, in the automobile industry, unlike mechanical vehicles in the past, today’s vehicles have a significant increase in complexity as the system of the electronic control device increases, and accordingly, the overall system malfunction increases. Although IEC 61505, a functional safety specification for electrical / electronic / programmable electronic safety management systems across industries, does not reflect the specificity of the automotive field. Therefore, ISO 26262, an international standard for automotive functional safety, was established and distributed based on IEC 61508. ISO 26262 presents safety analysis method throughout the life cycle from concept stage to operation and disposal. Typical safety analysis methods include PHA (Preliminary Hazard Analysis), HAZOP (Hazard and Operability), FMEA (Failure Mode and Effect Analysis), and FTA (Fault Tree Analysis). However, this analysis method has limitations in analyzing the interactions between modern complex systems. To overcome this, a STPA (System Theoretic Process Analysis) technique based on MIT’s STAMP (System Theoretic Accidents Model) model has been proposed. In this paper, as a safety analysis method using STPA, a usecase that defines the system operation process and a risk identification method using STPA are presented. Applying this method to the system development process can contribute to deriving potential risks, causes of risks, and safety requirements, and is expected to improve the quality of the system and reduce costs. For the verification of this study, the ACC (Adaptive Cruise Control) case among the ADAS (Advanced Driver Assistance System) functions of the vehicle is applied and presented.

Copyright
© 2022 The Author(s)
Open Access
Open Access This chapter is licensed under the terms of the Creative Commons Attribution-NonCommercial 4.0 International License (http://creativecommons.org/licenses/by-nc/4.0/), which permits any noncommercial use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license and indicate if changes were made.

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Volume Title
Proceedings of the 2022 International Conference on Computer Science, Information Engineering and Digital Economy (CSIEDE 2022)
Series
Advances in Computer Science Research
Publication Date
30 December 2022
ISBN
978-94-6463-108-1
ISSN
2352-538X
DOI
10.2991/978-94-6463-108-1_17How to use a DOI?
Copyright
© 2022 The Author(s)
Open Access
Open Access This chapter is licensed under the terms of the Creative Commons Attribution-NonCommercial 4.0 International License (http://creativecommons.org/licenses/by-nc/4.0/), which permits any noncommercial use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license and indicate if changes were made.

Cite this article

TY  - CONF
AU  - Changsheng Gao
AU  - Xuezhu Yang
AU  - Chengrui Sun
PY  - 2022
DA  - 2022/12/30
TI  - On ISO 26262 Compliance and Safety Assurance for Autonomous Vehicles using STPA
BT  - Proceedings of the 2022 International Conference on Computer Science, Information Engineering and Digital Economy (CSIEDE 2022)
PB  - Atlantis Press
SP  - 144
EP  - 153
SN  - 2352-538X
UR  - https://doi.org/10.2991/978-94-6463-108-1_17
DO  - 10.2991/978-94-6463-108-1_17
ID  - Gao2022
ER  -