驾驶员情绪-驾驶风险机理分析  

Analysis of the Influence Mechanism of Driver’s Emotion on Driving Risk

作　　者：李文博[1,2] 刘羽婧[1] 张峻铖 肖华飞 郭钢 曹东璞[2] LI Wenbo;LIU Yujing;ZHANG Juncheng;XIAO Huafei;GUO Gang;CAO Dongpu(College of Mechanical and Vehicle Engineering,Chongqing University,Chongqing 400044;School of Vehicle and Mobility,Tsinghua University,Beijing 100084)

机构地区：[1]重庆大学机械与运载工程学院,重庆400044 [2]清华大学车辆与运载学院,北京100084

出　　处：《机械工程学报》2022年第22期379-394,共16页Journal of Mechanical Engineering

基　　金：汽车主动安全测试技术重庆市工业和信息化重点实验室和招商局检测车辆技术研究院有限公司开放基金(22AKC06)资助项目。

摘　　要：通过研究驾驶员情绪来降低由情绪引发的事故风险一直是多学科研究的重要课题。针对驾驶员情绪、驾驶行为和驾驶风险之间的关系进行定性分析,阐述情绪对驾驶风险的影响过程机理,构建驾驶风险计算模型。为对驾驶员情绪-驾驶行为-驾驶风险之间的关系进行定量分析,采集驾驶员情绪诱导材料库,开展驾驶员多种情绪下的驾驶行为数据采集实验。通过对不同情绪下驾驶员情绪对驾驶行为影响的定量分析,建立驾驶行为与驾驶风险等级映射关系,阐明了驾驶员情绪对驾驶风险的影响机理。结果表明对于离散情绪,愤怒、恐惧、悲伤、惊讶与厌恶这几种情绪下的高风险比例较大;而中性与高兴情绪则表现出较低的高风险比例。对于维度情绪,在愉悦度、激活度和优势度三个维度上,低愉悦度和高愉悦度、低激活度和高激活度以及低优势度和高优势度下高风险比例较高。驾驶员情绪-驾驶风险机理分析结果将为设计驾驶员不同情绪的识别方案和调节策略提供重要依据,对智能网联汽车的决策规划等具有重要意义。Reducing the emotion-caused accidents risk by studying driver’s emotion has been an emergency topic in multidisciplinary research. By qualitatively analyzing the relationship between driver emotion, driving behavior and driving risk, the mechanism of how emotion affects driving risk is expounded, and the driving risk calculation model is built. To quantitatively analyze the relationship between driver emotion, driving behavior and driving risk, this study collects a library of driver emotion induction materials, and conducts driving data collection experiments under various driver’s emotions. Then, the impact of driver’s different emotions on driving behavior is analyzed. Finally, by mapping the relationship between driving behavior and driving risk, the influence mechanism of driver emotion on driving risk is analyzed. The results show that for discrete emotions, anger, fear, sadness, surprise,and disgust have a higher high-risk ratio;while neutral and happy have a lower high-risk ratio. For dimensional emotions, on the three dimensions of valence, arousal and dominance, low valence and high valence, low arousal and high arousal, low dominance and high dominance have a higher high-risk ratio. The results of the mechanism of driver’s emotion-driving risk will provide an important basis for designing recognition schemes and regulation strategies for different driver’s emotions, which is significant to decision-making and planning of intelligent connected vehicles.

关 键 词：驾驶员情绪 驾驶行为 驾驶风险 智能座舱 智能网联汽车 

分 类 号：B842[哲学宗教—基础心理学]