任务难度,风险感和安全边际在确定驾驶员行为时,以准备交通冲突
Fuma Kochi1, Yuichi Saito2, Nobuyuki Uchida3
1Degree Programs of Systems and Information Engineering, University of Tsukuba, Tsukuba, Ibaraki, 305-8573, Japan.
Accident; analysis and prevention
|September 14, 2023
概括
经验丰富的司机使用危险预测驾驶来管理不可预测的道路使用者的风险. 这项研究表明,经验丰富的驾驶员更好地衡量任务的难度,并调整安全边缘,与低估风险的无经验驾驶员不同.
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:
- 在盲点中不可预测的行人和骑自行车者的行为增加了交通事故的风险.
- 经验丰富的司机使用危险预测驾驶策略来减轻不确定性带来的风险.
- 了解驾驶员的感知和动机对于防止交通冲突至关重要.
研究的目的:
- 调查驾驶经验如何影响驾驶员在准备交通冲突时的感知和行为.
- 探索危险预测驾驶背后的动机决定因素和感知过程.
- 检查主观风险评估与客观安全边际之间的关系.
主要方法:
- 两项实验与8名经验丰富的驾驶员和13名缺乏经验的驾驶员进行.
- 实验1涉及使用道路场景动画对任务难度和风险感知进行主观评估.
- 实验2使用驾驶模拟器观察盲目交叉场景中的行为.
主要成果:
- 与经验丰富的司机相比,缺乏经验的司机低估了任务难度.
- 任务难度和感知风险在所有司机之间都有很强的相关性.
- 经验丰富的驾驶员的主观困难与客观的安全边缘相关,导致调整驾驶行为.
结论:
- 经验丰富的司机根据感知到的困难和风险承受能力主动调整速度和横向距离.
- 缺乏经验的司机低估了任务的难度是一个很大的风险.
- 驾驶辅助系统应该考虑到这些感知差异,以有效地指导缺乏经验的驾驶员.
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