系统地建模接管性能:考虑到由驾驶员注意力介导的气象可见性的间接影响
Qingkun Li1, Zhenyuan Wang2, Wenjun Wang2
1Institute of Software Chinese Academy of Sciences, Beijing 100190, China.
Accident; analysis and prevention
|July 29, 2025
概括
司机 司机 司机 司机
科学领域:
- 人与计算机的互动.
- 汽车工程 汽车工程
- 认知心理学 认知心理学
背景情况:
- 条件自动驾驶系统需要驾驶员接管控制.
- 司机接管性能受到许多复杂因素的影响.
- 现有的模型缺乏对不同可见度和时间限制进行全面分析.
研究的目的:
- 系统地调查接管时间预算 (TB),气象能见度,驾驶员注意力和接管性能之间的因果关系.
- 开发一个模型来分析不同条件下的驾驶员接管性能.
- 为改善自动化车辆安全和用户体验提供理论基础.
主要方法:
- 结构方程建模 (SEM) 分析复杂的因果关系.
- 驾驶模拟实验以收集数据.
- 确认因素分析 (CFA) 用于开发注意力和绩效的测量模型.
- 路径分析以揭示因果关系.
主要成果:
- 气象可见性显著影响反应时间和安全边际,由驾驶员的注意力介导.
- 司机的注意力和接管时间预算 (TB) 对接管性能有实质性的直接影响.
- 气象可见性对接管性能的控制不稳定性方面的影响最小.
结论:
- 驾驶员的注意力是环境条件和接管性能之间的关键调解器.
- 了解这些复杂的相互作用对于设计更安全的自动驾驶系统至关重要.
- 这些发现提供了一个理论框架,用于提高驾驶员在自动驾驶汽车中的情境意识和反应.
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