一个游戏理论的驾驶员方向盘模型与个体风险感知领域生成.
Wenfeng Guo1, Jun Li1, Xiaolin Song2
1School of Vehicle and Mobility, Tsinghua University, Beijing 10084, China.
Accident; analysis and prevention
|December 4, 2024
概括
本研究介绍了驾驶员自动化共享方向盘控制 (SSC) 的游戏理论模型,结合了个人的风险感知. 该模型准确地预测了驾驶员的方向盘行为和风险感知中的个人差异.
科学领域:
- 汽车工程 汽车工程
- 人与计算机的交互
- 控制理论 控制理论
背景情况:
- 司机自动化共享方向盘控制 (SSC) 对车辆安全至关重要.
- 在人机交互期间了解驾驶员的方向盘行为对于无协作至关重要.
研究的目的:
- 开发一个基于游戏理论的驾驶员方向盘模型,该模型包含了个人的风险感知.
- 用一种新的潜在伤害风险 (PIR) 概念量化估计驾驶员感知到的驾驶风险.
- 使用非合作纳什游戏框架模拟驾驶员和自动化之间的方向盘交互.
主要方法:
- 基于潜在伤害风险 (PIR) 的驾驶员风险感知领域的开发.
- 将风险感知场集成到非合作的纳什游戏中,以建模方向盘交互.
- 纳什平衡的分析表达式的导数.
- 在模拟器实验中使用30名受试者的驾驶方向盘行为数据进行参数识别.
主要成果:
- 综合驾驶员模型有效地捕捉了驾驶员在控制和规划层面的适应.
- 与现有模型相比,该模型展示了最低的预测错误.
- 该模型成功地捕捉了风险感知和方向盘行为中的个体差异.
结论:
- 建议的游戏理论驾驶员转向模型与个体风险感知领域生成是有效和优越的.
- 该模型增强了在共享方向盘控制场景中对驾驶员方向盘行为的理解.
- 这些发现有助于开发更安全,更协作自主驾驶系统.
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