An ordered-logit model is developed to study the effects of Automated Vehicles (AVs) in the traffic mix on the average stress level of a pedestrian when crossing an urban street at mid-block. Information collected from a galvanic skin resistance sensor and virtual reality experiments are transformed into a dataset with interpretable average stress levels (low, medium, and high) and geometric, traffic, and environmental conditions. Modelling results indicate a decrease in average stress level with the increase in the percentage of AVs in the traffic mix.

翻译：开发了有条不紊的入场模式,以研究自动车辆(AVs)在中区穿越城市街道时对行人平均压力水平的影响,从电动皮肤抗药传感器和虚拟现实实验收集的信息转化为数据集,具有可解释的平均压力水平(低、中、高)和几何、交通和环境条件,模型结果显示平均压力水平随着AVs在交通混合中的百分比增加而下降。