作为车辆系统监控控制器的驾驶员模型:人因集成控制

K. Togai, H. Tamaki, Takuya Matsumoto
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引用次数: 0

摘要

在驾驶辅助系统设计和基于模型的车辆开发中,对驾驶员模型需要什么样的概念和属性进行了研究。驾驶员模型需要驾驶技能水平参数,因为人类驾驶员有不同的技能水平。技能水平可以随着熟练程度的提高而提高,有时也会随着环境的变化而变化。提出了一个模型框架和表示技能水平的概念。介绍了一种确保系统学习的机制,并用驱动代理模型说明了学习过程。最后,引入了一个扩展的人体概念来解释无意识操作作为技能的获得。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
A driver model as the supervisory controller in a vehicle system: Human factors integration to control
For driver assistance system design and model based vehicle development, what kind of concept and property are required for a driver model have been studied from published literatures. A driver model requires driving skill level parameters because human drivers have various skill levels. The skill level can be raised with proficiency and sometimes changes with environment change. A model framework and a concept to represent skill level are proposed. A mechanism that ensures systematic learning is introduced and learning process is illustrated with a driving agent model. Finally, an extended human body concept is introduced to explain unconscious operation as skill being acquired.
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