为什么预测感应在商业ACC系统中在切入场景下的问题:从随机安全分析的角度来看
Hao Zhang1, Sixu Li1, Zihao Li1
1Zachry Department of Civil & Environmental Engineering, Texas A&M University, College Station, TX 77843, United States.
Accident; analysis and prevention
|May 12, 2025
概括
适应式巡航控制 (ACC) 的安全受到切断场景中感知延迟的威胁. 然而,ACC预测显著降低了碰撞风险,即使在不利的条件下.
科学领域:
- 汽车工程 汽车工程
- 控制系统理论 控制系统理论
- 交通安全 交通安全
背景情况:
- 适应式巡航控制 (ACC) 系统对于汽车自动化至关重要.
- 切入场景给ACC系统带来了重大安全挑战.
- 感知延迟和系统预测是ACC性能的关键因素.
研究的目的:
- 在切入场景下,开发用于ACC中的车辆状态演变的分析解决方案.
- 调查传感延迟和预测对ACC安全的影响.
- 在现实的条件下执行ACC系统的随机安全分析.
主要方法:
- 使用兰伯特W函数用于车辆状态演变的分析解决方案.
- 用于随机安全分析的数值实验.
- 从现实数据实验性校准的控制参数.
主要成果:
- 感知延迟会对ACC稳定性产生负面影响,并增加碰撞风险,特别是在较慢的切入车辆或积极的机动时.
- 预期ACC显著降低了碰撞风险;0.6秒的预期在不利情景中降低了91%的风险.
- 感知延迟和预期效应都会随着时间的持续而加剧; 2s预期即使在延迟的情况下也确保了安全.
结论:
- 车辆状态,切入条件,感应延迟和ACC预测都会影响ACC安全.
- 预测是对切入场景中感知延迟所带来的风险的关键对策.
- 优化ACC预测能力对于确保复杂交通情况的安全至关重要.
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