进化机制和逐步重塑驾驶行为模型,当人类接管智能汽车时
Ziyu Zhang1, Chunyan Wang1, Zhongkai Luan1
1College of Energy and Power Engineering, Nanjing University of Aeronautics and Astronautics, Nanjing, China.
Communications engineering
|November 1, 2025
概括
在自动驾驶汽车接管过程中,驾驶员的行为是动态的. 这项研究揭示了进化机制,并提出了一种渐进的重塑模型,准确度为88.57%,用于更安全的自动驾驶.
科学领域:
- 人与计算机的互动.
- 自动驾驶系统 自动驾驶系统
- 认知心理学 认知心理学
背景情况:
- 自动驾驶系统需要人类驾驶员在系统限制或故障时接管.
- 当前的人类驾驶行为模型对于驾驶员接管场景的动态性和时间变化的性质是不够的.
- 在接管过程中司机行为的不清楚演变机制有助于自动驾驶汽车事故.
研究的目的:
- 为了调查自主驾驶接管期间的认知,决策和控制行为变化.
- 阐明在接管过程中驾驶员行为的演变机制.
- 开发一种新的模型,用于人类在紧急情况下的驾驶行为.
主要方法:
- 研究了驾驶员在接管事件期间的认知,决策和控制行为.
- 开发了一种渐进的重塑模型来描述驾驶员行为的演变.
- 根据实际的驾驶员控制数据验证了模型.
主要成果:
- 这项研究揭示了在接管期间驾驶员行为的动态和时间变化的特征.
- 构建了一个逐步重塑人类驾驶行为的模型.
- 与真实驾驶员控制数据相比,拟议的模型的准确性达到了88.57%.
结论:
- 开发的模型为了解紧急自动驾驶汽车接管期间的驾驶员行为提供了新的视角.
- 这项研究为安全开发自动驾驶技术提供了宝贵的见解.
- 了解和建模动态驾驶员行为对于减轻自动驾驶汽车事故至关重要.
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