自动驾驶中的战略性午睡 - - 睡眠架构可以比午睡时间更好地预测睡眠惯性
Markus Tomzig1, Johanna Wörle2, Sebastian Gary3
1Wuerzburg Institute for Traffic Sciences, WIVW GmbH, Robert-Bosch-Straße 4, 97209 Veitshöchheim, Germany; Ulm University, Albert-Einstein-Allee 41, 89081 Ulm, Germany.
Accident; analysis and prevention
|October 20, 2024
概括
睡眠架构,而不是小睡的持续时间,在自动驾驶中显著影响睡眠惯性. 未来的系统应该监测睡眠阶段,以防止驾驶员在午睡后受到损害.
科学领域:
- 人与计算机的交互
- 睡眠科学 睡眠科学
- 汽车工程 汽车工程
背景情况:
- 较高的自动化水平允许驾驶员休息,因此需要制定睡眠后警觉的策略.
- 美国宇航局的午睡模式 (40分钟限制) 旨在减轻航空中的睡眠惯性,但其适用于驾驶是不确定的.
- 缺乏用于管理自动驾驶的睡眠惯性既定的策略,会给安全带来风险.
研究的目的:
- 为了比较午睡时间与睡眠架构对自动驾驶接管期间睡眠惯性的影响.
- 评估NASA午睡模式对自动驾驶场景的适用性.
主要方法:
- 一个驾驶模拟器研究,有24名参与者睡了20分钟,40分钟或60分钟.
- 评估自我报告的睡眠,接管时间和醒后的驾驶错误.
- 分析睡眠结构 (轻度,稳定,深度睡眠) 和其与睡眠惯性测量相关性.
主要成果:
- 午睡的持续时间影响了接管时间,而不是嗜睡或驾驶错误.
- 睡眠架构显著影响了所有指标:在轻度/稳定睡眠后,嗜睡增加,在轻度/稳定睡眠后,接管时间增加,在稳定/深度睡眠后,驾驶错误增加.
- 深度睡眠的比例与增加的驾驶错误有很强的相关性.
结论:
- 睡眠架构,而不是小睡的持续时间,是预测自动驾驶中睡眠惰性的关键因素.
- 由于睡眠要求不同,NASA的午睡模式并不直接适用于自动驾驶.
- 未来的驾驶员监控系统应纳入睡眠架构评估,以预测和减轻睡眠惯性,以提高安全性.
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