基于主观评价的反馈车辆控制

H. Takahashi
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引用次数: 0

摘要

本文研究了一种具有驾驶员主观评价模型的智能汽车。受试者的驾驶任务是跟随他前面的车(第一辆车),并保持两辆车之间的车头距一致。利用ARMA模型和模糊知识,建立了能够预测驾驶员在执行该驾驶任务时主观评价的主观评价模型。他意识到主观评价反馈控制系统对未来的车辆非常有用。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Subjective evaluation-based feedback vehicle control
This paper presents a study on an intelligent vehicle that has the driver's subjective evaluation model. The subject's driving task is to follow the car in front of him (the first car) and to keep the headway distance between the two cars consistent. Using the ARMA model and fuzzy knowledge, the author created the subjective evaluation model that can predict the driver's subjective evaluation when performing this driving task. He realized that the subjective evaluation feedback control system is very useful for future vehicles.
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