具有现实动态行为的行人建模及其在自动驾驶汽车虚拟安全测试中的应用
Xin Gao1, Quan Li1, Siyuan Liu1
1School of Vehicle and Mobility, Tsinghua University, Beijing 100084, China.
Accident; analysis and prevention
|December 4, 2025
概括
这项研究模拟了行人避免碰撞的行为,以进行更安全的虚拟车辆测试. 整合动态行人动作显著减少模拟碰撞,提高自动驾驶汽车的安全性.
科学领域:
- 交通安全工程 交通安全工程
- 交通运输中的人类因素
- 计算行为建模计算行为建模
背景情况:
- 步行者是易受伤害的道路使用者,在交通中面临重大风险.
- 准确建模行人避免碰撞行为至关重要,但由于复杂性和不确定性而具有挑战性.
- 现有的虚拟测试往往缺乏高准确度的行人动态行为模拟.
研究的目的:
- 在危险的交通场景中开发行人动态行为的综合模型.
- 在虚拟车辆安全测试平台中实现该模型,以实现现实的交互.
- 将行人受伤风险纳入统一的安全评估框架.
主要方法:
- 系统建模行人风险感知,决策和动力反应.
- 从虚拟现实实验中利用真实行人数据进行行为忠实.
- 开发了一个虚拟测试平台,使用事故数据生成现实的事故前情景.
主要成果:
- 该模型和平台成功模拟了高保真度的行人与车辆的交互.
- 与没有避开的基线相比,行人积极避开的行为减少了27.77%的模拟碰撞.
- 统一的安全框架整合了主动和被动安全评估.
结论:
- 动态行为建模对于现实的虚拟车辆安全测试至关重要.
- 拟议的高保真行人模型和虚拟测试框架提高了自动驾驶汽车的安全性.
- 这种方法为改善自动驾驶系统的交互安全提供了一个实际的途径.
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