驾驶员情绪-驾驶风险机理分析

doi:10.3901/JME.2022.22.379

机械工程学报 ›› 2022, Vol. 58 ›› Issue (22): 379-394.doi: 10.3901/JME.2022.22.379

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驾驶员情绪-驾驶风险机理分析

李文博^1,2, 刘羽婧¹, 张峻铖¹, 肖华飞¹, 郭钢¹, 曹东璞²

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

收稿日期:2022-01-20 修回日期:2022-08-03 出版日期:2022-11-20 发布日期:2023-02-07
通讯作者: 郭钢(通信作者),男,1960年出生,博士,教授,博士研究生导师。主要研究方向为智能网联汽车人机混合智能、汽车智能座舱人机交互。E-mail:guogang@cqu.edu.cn
作者简介:李文博,男,1991年出生,博士,博士后。主要研究方向为情绪认知自动驾驶、汽车智能座舱人机交互。E-mail:liwenbocqu@foxmail.com;刘羽婧,女,1998年出生,博士研究生。主要研究方向为车辆人机交互策略与驾驶员情绪调节。E-mail:liuyujing@cqu.edu.cn;张峻铖,男,1999年出生,硕士研究生。主要研究方向为智能汽车人机交互与驾驶员情绪。E-mail:zhangjuncheng@cqu.edu.cn;肖华飞,男,1997年出生,硕士研究生。主要研究方向为车辆人机系统与驾驶员情绪识别。E-mail:xiaohuafei@cqu.edu.cn;曹东璞,男,1978年出生,博士,教授,博士研究生导师。主要研究方向为驾驶员认知、自动驾驶和认知自动驾驶。E-mail:dongpu.ca@gmail.com
基金资助:
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

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

LI Wen-bo^1,2, LIU Yu-jing¹, ZHANG Jun-cheng¹, XIAO Hua-fei¹, GUO Gang¹, CAO Dong-pu²

1. College of Mechanical and Vehicle Engineering, Chongqing University, Chongqing 400044;
2. School of Vehicle and Mobility, Tsinghua University, Beijing 100084

Received:2022-01-20 Revised:2022-08-03 Online:2022-11-20 Published:2023-02-07

摘要/Abstract

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。

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

Abstract: 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.

Key words: driver emotion, driving behavior, driving risk, intelligent cockpit, intelligent connected vehicles

中图分类号:

B842

李文博, 刘羽婧, 张峻铖, 肖华飞, 郭钢, 曹东璞. 驾驶员情绪-驾驶风险机理分析[J]. 机械工程学报, 2022, 58(22): 379-394.

LI Wen-bo, LIU Yu-jing, ZHANG Jun-cheng, XIAO Hua-fei, GUO Gang, CAO Dong-pu. Analysis of the Influence Mechanism of Driver’s Emotion on Driving Risk[J]. Journal of Mechanical Engineering, 2022, 58(22): 379-394.

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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

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