连接的AR-HUD预警系统如何影响高速公路遗弃物体事件期间的车道更改策略:生存分析方法
Yu Zhang1, Xiaohua Zhao1, Yang Bian1
1Beijing Key Laboratory of Traffic Engineering, Beijing University of Technology, Beijing P.R. 100124, China.
Accident; analysis and prevention
|March 1, 2026
概括
增强现实头向显示器 (AR-HUD) 在意外高速公路事件中显著改善驾驶员改变车道的策略,与标准头向显示器 (HUD) 不同. AR-HUD增强了对象检测,促进了更顺的机动,并增加了安全边缘.
科学领域:
- 人与计算机的交互
- 汽车安全 汽车安全
- 认知心理学 认知心理学
背景情况:
- 头顶显示器 (HUD) 和增强现实头顶显示器 (AR-HUD) 旨在通过在视线内显示信息来提高驾驶员的性能.
- 高速公路废弃物事件由于其突然性和不可预测性而带来了挑战,这引发了有关当前显示技术在协助驾驶员改变车道策略方面的有效性的问题.
研究的目的:
- 调查HUD和AR-HUD在高速公路遗弃物体事件期间对驾驶员改变车道的策略的影响.
- 确定影响这些预警系统有效性的关键因素.
主要方法:
- 使用驾驶模拟平台创建了一个连接的高速公路废弃物体场景.
- 测试了三个预警系统:基线,HUD和AR-HUD.
- 收集了35名受试者的驾驶行为数据,重点关注危险感知时间 (HPT),车道改变机动时间 (LMT) 和碰撞时间 (TTC).
- 使用生存分析 (Kaplan-Meier和加速失效时间) 来分析差异,并探索初始速度和驾驶员属性的影响.
主要成果:
- 与基线和HUD相比,AR-HUD显著改善了车道更换策略,导致更快的物体识别,更流,更低速度的机动,以及更好的最终TTC.
- HUD在基线上没有显著的优势,并且表现不稳定的性能取决于驱动器属性.
- 在不同驾驶群体中,AR-HUD表现出一致而强大的效果,减少了与初始速度和年龄相关的性能差异.
结论:
- 与HUD不同的是,AR-HUD在高速公路突然发生事件时有效地帮助驾驶员制定最佳的车道更改策略,与HUD不同.
- 该AR-HUD系统增强了驾驶员的感知,机动执行和避免碰撞.
- 这些发现支持AR-HUD的更广泛应用,以及在智能互联汽车中优化人机交互系统.
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