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作 者:何艳菁 He YanJing(Beijing University of Civil Engineering and Architecture,Beijing 102627,China)
机构地区:[1]北京建筑大学,北京102627
出 处:《汽车知识》2024年第5期227-229,共3页Auto Know
摘 要:基于自动驾驶背景研究人口学因素对驾驶风格的影响。在全国随机选取300名受试者完成多维度驾驶风格量表和人口学背景调查表。研究结果显示,男性驾驶员的分心和焦虑活动比女性少;驾龄6年以上的驾驶员感觉寻求维度活动较为丰富;驾龄1~6年的驾驶员在驾驶中的愤怒、分心、冒险活动较多;ADS使用频率越高,感觉寻求维度及冒险维度活动越多。基于分析和结论提出提高用户对自动驾驶系统信任度的建议。Research on the influence of demographic factors on driving style dimensions based on an automated driving context.Three hundred randomly selected drivers nationwide completed the Multidimensional Driving Style Scale and the Demographic Background Questionnaire.The results of the study showed that female drivers had more distraction and anxiety activities than males;drivers with 6+years of driving experience had more activities in the sensation-seeking dimension;drivers with 1-6 years of driving experience had more anger,distraction,and risk-taking activities;the higher the frequency of ADS use,the more activities in the sensation-seeking and risk-taking dimensions were found.Based on the conclusions of the analysis,recommendations are made that can improve user trust in autonomous driving systems.
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