为了研究应激情况下驾驶人的心理特性，分析了不同应激场景下驾驶人的心电数据.采取Ergo LAB人机环境同步平台对驾驶人心率变异性(HRV)的时域和频域数据进行了提取，并选取了合适的心电特性指标作为分析指标.运用统计分析方法研究了被试驾驶人的心电数据，得到了应激场景下的驾驶人心理特性.试验结果表明：在心率增加率方面，不同的应激场景会对驾驶人的心率增长率有着显著的差异性影响；在HRV时域特性方面，驾驶人对行人、自行车这2种目标物紧张程度持续性较长，而对天气、机动车的紧张程度则是间断性的；在HRV频域特性方面，驾驶人对行人和自行车一类的非机动车时心理负荷增加，而对机动车和外在天气条件心理负荷有所降低.
In order to study the psychological characteristics of drivers under stress conditions, the electrocardiogram (ECG) data of drivers under different stress scenarios were analyzed. Using the Ergo LAB human environment synchronization platform, the driver’s heart rate variability (HRV) time domain data and frequency domain data were extracted, and the appropriate ECG characteristics were selected as indicators of analysis. By the statistical analysis method, the ECG data of the subjects were studied, and the psychological characteristics of the drivers under stress scenarios were obtained. It shows that in terms of the rate of increase in heart rate, different stress scenarios will have a significant impact on the driver’s heart rate growth. Drivers are sensitive to the target of pedestrians, bicycles, and less sensitive to other objects like the weather and motor vehicles. In terms of HRV time domain characteristics, the driver has a longer degree of tension about pedestrians and bicycles, and has intermittent tension about the weather or the vehicle. In terms of HRV frequency domain characteristics, the driver’s mental workload increases when he encounters pedestrians and bicycles, and reduces when he encounters motor vehicles and external weather conditions.
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