在自然主义的交通冲突中建模道路用户响应时间:一个基于惊喜的框架
Johan Engström1, Shu-Yuan Liu1, Azadeh Dinparastdjadid1
1Waymo LLC, 1600 Amphitheatre Parkway, Mountain View, 94043, CA, USA.
Accident; analysis and prevention
|January 31, 2024
概括
一个新的框架模拟了交通中的人类反应时间,考虑了情况和惊喜. 这种方法可以更好地理解驾驶员在现实世界碰撞和近乎碰撞中的反应,从而提高道路安全.
科学领域:
- 人与计算机的交互
- 交通安全工程 交通安全工程
- 认知心理学 认知心理学
背景情况:
- 传统的感知反应时间模型对于自然主义的交通冲突是不够的.
- 现有的方法无法解释现实世界驾驶中的情况依赖性和刺激定义.
研究的目的:
- 提出一种用于测量和建模自然主义交通冲突中人类反应时间的新框架.
- 在动态驾驶场景中解决传统响应时间模型的局限性.
主要方法:
- 模拟响应时间作为一个由惊人的刺激驱动的信念更新过程.
- 开发了一个适合自然主义人类反应数据的启发式模型,来自SHRP2数据集.
- 建议使用证据积累和机器学习进行计算实现.
主要成果:
- 该框架成功地模拟了情况依赖的响应时间.
- 它解决了在交通冲突中明确定义刺激的挑战.
- 对真实世界机和近乎机数据的应用性已被证明.
结论:
- 新的框架为分析自然驾驶中人类反应时间提供了一个强大的方法.
- 这种方法适用于自动驾驶系统和交通安全领域.
- 信念更新和惊喜驱动模型提供了更准确的代表人类反应.
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