受到威胁的自适应巡航控制:在混合交通中检测攻击的随机主动安全分析
Zihao Li1, Yang Zhou1, Jiwan Jiang2
1Zachry Department of Civil & Environmental Engineering, Texas A&M University, 3136 TAMU, College Station, TX, USA.
Accident; analysis and prevention
|October 18, 2024
概括
对自适应巡航控制 (ACC) 系统的传感攻击对混合交通安全构成重大风险. 这项研究揭示了漏洞,并为开发关键的检测系统提供了信息,以提高道路安全.
科学领域:
- 交通安全和网络安全.
- 智能运输系统 智能运输系统
- 自动驾驶汽车技术自动驾驶汽车技术
背景情况:
- 混合交通环境与人驾驶车辆 (HDV) 和自适应式巡航控制 (ACC) 是常见的.
- 像干扰和伪造这样的传感攻击对ACC系统构成了未被充分探索的威胁.
研究的目的:
- 分析混合交通中检测到对ACC系统的攻击的交通安全风险.
- 评估网络攻击检测和人类干预机制的有效性.
- 为开发针对传感攻击的强有力的对策提供见解.
主要方法:
- 使用现场数据开发随机校准的ACC和HV汽车跟踪模型.
- 为混合交通环境构建一个高保真度模拟框架.
- 在各种攻击场景下使用替代安全措施分析交通安全风险.
主要成果:
- 由于传感攻击,发现了严重的交通安全漏洞.
- 诸如驾驶行为随机性,ACC透率和攻击效率等因素显著影响风险.
- 随机模拟以现实的方式强调潜在的风险,并有助于检测系统设计.
结论:
- ACC系统在混合流量中对检测攻击具有重大漏洞.
- 这项研究支持检测系统和对策的开发,以提高交通安全.
- 这些发现对于评估ACC系统对网络威胁的稳定性非常有价值.
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