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一个融合安全和安全分析框架,用于智能和互联汽车

Bin Sun¹, Shichun Yang^1,2, Yu Wang¹

¹School of Transportation Science and Engineering, Beihang University, Beijing, China.

|September 22, 2025

概括

本研究引入了一种新的融合安全分析方法,以集体评估智能和互联汽车 (ICV) 的功能安全,预期功能安全 (SOTIF) 和网络安全. 该方法增强了为更安全的自动驾驶而进行的综合安全风险评估.

科学领域:

汽车工程汽车工程
智能化和互联汽车 (ICVs) 是指智能化和互联汽车.
系统安全工程系统安全工程

背景情况:

汽车行业正在迅速向智能和互联汽车 (ICV) 迈进,其特点是复杂的电子系统和广泛的数据交换.
传统的安全措施不足,需要考虑功能安全,预期功能安全 (SOTIF) 和网络安全.
现有的安全分析方法往往孤立地处理这些关键领域,导致潜在的差距和不完整的风险评估.

研究的目的:

引入一种新的核聚变安全分析方法,用于集体评估ICV中的功能安全,SOTIF和网络安全.
通过提供综合安全评估框架来解决当前孤立方法的局限性.
通过全面的安全分析,提高智能和互联汽车的整体安全性和可靠性.

主要方法:

开发一种融合安全分析方法,整合功能安全,SOTIF和网络安全评估.
在三个领域中确定与ICV相关的关键安全属性.
将不安全行为映射到特定的危险场景中,用于定量风险评估.

主要成果:

拟议的核聚变安全分析方法有效评估跨多个领域的综合安全风险.
一个关于自适应巡航控制 (ACC) 的案例研究表明了该方法的实际应用性和有效性.
通过将安全属性与危险场景联系起来,实现了综合安全风险的定量评估.

结论:

共同解决功能安全,SOTIF和网络安全问题对于确保ICV安全至关重要.
聚变安全分析方法提供了一种全面的方法来识别和减轻多维安全风险.
实施综合安全评估对于推进智能和互联汽车技术的安全至关重要.

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