使用系统理论过程分析对自动化车道保持系统的危险分析
Mariat James Elizebeth1, Siddartha Khastgir1, Paul Jennings1
1WMG, University of Warwick, 6 Lord Bhattacharyya Way, Coventry, CV4 7AL, United Kingdom.
Accident; analysis and prevention
|August 14, 2025
概括
系统理论过程分析 (STPA) 有效地确定了自动化车道保持系统 (ALKS) 的风险. 向用户传达系统限制对于安全运行和政策制定至关重要.
科学领域:
- 汽车安全工程 汽车安全工程
- 系统安全分析 系统安全分析
- 人与机器的互动 人与机器的互动
背景情况:
- 像自动化车道保持系统 (ALKS) 这样的复杂系统带来了独特的安全挑战.
- 传统的安全分析方法可能无法完全捕捉先进的自动化系统中出现的风险.
研究的目的:
- 评估系统理论过程分析 (STPA) 的有效性,以确定ALKS中的风险.
- 探索潜在的安全改进,并告知ALKS的监管要求.
主要方法:
- 将STPA,一种自上而下的危险分析技术应用于ALKS.
- 确定了不安全的控制行动 (UCAs) 和它们的因果因素 (CFs).
主要成果:
- 在ALKS中,STPA确定了87个UCAs和537个CF.
- 原因因素包括软件故障,传感器限制,规范问题和人机交互错误.
- 提出了1074项要求,包括对ALKS能力和局限性的驾驶员教育.
结论:
- STPA是一种有价值的整体方法,用于分析像ALKS这样的复杂系统.
- 对用户明确的系统功能和限制的沟通对于安全至关重要.
- 该研究发现了当前ALKS监管要求中的差距,并提出了87条建议.
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