电动汽车声音警示信号重要性的人因实验分析

Human Factors Analysis of the Importance of Audible Warning Sign for Electric Vehicles

低速行驶的电动汽车常常因为过于安静而不易被行人察觉,为使电动汽车被行人有效识别,借助于人因声音分析设备,模拟出11种信号刺激物和2种交通背景噪音,选取40名测试者参与实验,将他们置于消音室模拟出的实际十字路口场景中,让他们辨别驶近车辆的来车方向并记录反应数据,最后通过数据分析得出实验结论。

Slow-moving electric vehicles are often not easily perceived by pedestrians because they are too quiet. In order to effectively identify electric vehicles by pedestrians, 11 kinds of signal stimuli and two kinds of traffic background noise are simulated by using human voice analysis equipment. 40 testers took part in the experiment and placed them in the actual crossroads scene simulated in the anechoic chamber, so that they could identify the direction of the approaching vehicle and record the reaction data. Finally, the experimental conclusion was obtained through data analysis.