使用真实车辆实验数据和数学模型,驾驶员对道路的熟悉性和目光行为之间的相关性
Jing Huang1, Yezi Hu1, Lin Hu2,3
1College of Mechanical and Vehicle Engineering, Hunan University, Changsha, China.
Traffic injury prevention
|May 6, 2024
概括
驾驶员对道路的熟悉性显著影响了眼神行为. 这项研究开发了一个83%准确的模型,使用眼睛跟踪数据评估驾驶员的熟悉程度,提高驾驶安全.
科学领域:
- 人与计算机的交互
- 交通心理学 交通心理学
- 认知科学 认知科学
背景情况:
- 熟悉道路对于驾驶员的视觉行为和驾驶安全至关重要.
- 有限的研究量化了复杂环境中道路熟悉度和视觉特征之间的关系.
- 由于复杂的视觉信息,城市交叉路口对驾驶员来说存在独特的挑战.
研究的目的:
- 探索驾驶员的目光行为与城市十字路口的道路熟悉度之间的相关性.
- 开发一个定量评估模型,以驾驶员的道路熟悉性,基于眼神行为.
- 通过更好地了解驾驶员熟悉度来提高驾驶安全.
主要方法:
- 在24名不同道路熟悉度的司机身上进行了真实车辆实验.
- 记录眼动数据并将视野划分为10个感兴趣区域 (AOI).
- 提取的测量:平均眼光持续时间,眼光数量和固定过渡概率;用于模型构建的因素分析.
主要成果:
- 在熟悉和不熟悉的驾驶员之间观察到目光持续时间和固定过渡的显著差异.
- 特定的AOI (前方,左窗,左后视镜,左向前) 和转换显示了显著的差异.
- 开发的驾驶员道路熟悉度评估模型的准确率达到83%.
结论:
- 驾驶员的道路熟悉度和眼神行为之间存在着很强的相关性.
- 熟悉道路情况可以整合到驾驶员工作状态评估中,以提高安全.
- 研究结果为设计先进的驾驶辅助系统和减少驾驶员工作量提供了宝贵的见解.
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