Road geometry (curve radius and curve direction) must be optimized and perfected based on scientific design and accident analysis in order to ensure traffic safety. This study simulated vehicle maneuvering and operational behavior of drivers using simulated driving experiments. The experimental procedure was divided into two scenes, and there were five types of curves with radiuses of 500 m, 1,000 m, 1,500 m, 2,000 m, and 2,500 m. Each curve radius was divided into two cases: the left curve and the right curve. Twenty-eight participants took part in the experiment, each with different personal characteristics. During the experiment, driver visual information and electroencephalogram (EEG) information were recorded through Face-LAB and an EEG recorder. EEG information was processed according to frequency, and divided into different bands: workload, relaxation, comfort, nervousness, attention, thinking, consciousness, and fatigue. According to the averages and standard deviations of the different EEG curves, the principle of Kansei engineering can be used to determine the level of a driver’s subjective Kansei factors. As a result, it was found that the emotional information of the driver gradually became stable with increased curve radius, and the degree of subjective emotional change decreased.

为了确保交通安全，必须基于科学的设计和事故分析来优化和完善道路的几何形状（曲线半径和弯道方向）。本研究使用模拟驾驶实验来模拟驾驶员的车辆操纵和操作行为。实验过程分为两个场景，半径为500 m，1,000 m，1,500 m，2,000 m和2,500 m的曲线共有五种。每个曲线半径分为两种情况：左曲线和右曲线。28名参与者参加了该实验，每个参与者都有不同的个人特征。在实验过程中，通过Face-LAB和EEG记录器记录了驾驶员的视觉信息和脑电图（EEG）信息。脑电信息根据频率进行处理，分为不同的频段：工作量，放松，舒适，紧张，注意力，思维，意识和疲劳。根据不同EEG曲线的平均值和标准偏差，可以使用Kansei工程原理来确定驾驶员的主观Kansei因素水平。结果，发现驾驶员的情绪信息随着弯道半径的增加而逐渐稳定，并且主观情绪变化的程度降低。