中文核心期刊
CSCD来源期刊
中国科技核心期刊
RCCSE中国核心学术期刊

重庆交通大学学报(自然科学版) ›› 2022, Vol. 41 ›› Issue (08): 37-42.DOI: 10.3969/j.issn.1674-0696.2022.08.06

• 交通+大数据人工智能 • 上一篇    下一篇

环境温度与车速对驾驶员认知的影响机理研究

金涛,吴正新,何家敏,王文睿,顾浩然   

  1. (中国石油大学(华东) 机电工程学院,山东 青岛 266580)
  • 收稿日期:2020-03-02 修回日期:2020-08-19 发布日期:2022-08-19
  • 作者简介:金涛(1980—),男,山东青岛人,副教授,博士,主要从事人机交互研究方面的研究。E-mail:shiyanshi1980@163.com 通信作者:吴正新(1997—),男,江苏盐城人,硕士,主要从事人机交互研究方面的研究。E-mail:782683028@qq.com
  • 基金资助:
    国家自然科学基金项目(52075547)

Influence Mechanism of Ambient Temperature and Vehicle Speed on Drivers Cognition

JIN Tao, WU Zhengxin, HE Jiamin, WANG Wenrui, GU Haoran   

  1. (School of Mechanical and Electrical Engineering, China University of Petroleum(East China), Qingdao 266580, Shandong, China)
  • Received:2020-03-02 Revised:2020-08-19 Published:2022-08-19

摘要: 组合效应实验采用了知觉感知范式,分析了环境温度与车速对驾驶员认知的影响,基于不同环境温度下的最优车速,进一步揭示了低温-低速、中温-高速和高温-低速的组合效应的认知机理。脑电实验采用了与驾驶任务无关的听觉刺激范式诱发ERP,其结果表明:3种组合效应中参与者额叶区域的N100波形及P200波形的平均振幅两两间均存在显著差异,从脑认知神经机制角度解释了3种组合效应的认知机理。研究结果表明:环境温度和车速的组合效应对认知绩效产生了显著影响,通过脑电生理技术监测了驾驶员的脑区活动差异,为车内环境温度的智能调控提供指南。

关键词: 交通工程;认知绩效;环境温度;车速;交通安全;事件相关电位

Abstract: The combined effect experiment adopts the perceptual perception paradigm method to analyze the impact of ambient temperature and vehicle speed on the drivers cognition. Based on the optimal vehicle speed under different ambient temperatures, the cognitive mechanism of the combined effects of low temperature-low speed, medium temperature-high speed and high temperature-low speed was further revealed. The EEG experiment used an auditory stimulation paradigm unrelated to driving tasks to trigger ERP. The results show that there are significant differences in the average amplitudes of the N100 waveform and P200 waveform in the frontal lobe region of the subjects in the three combined effects. From the perspective of brain cognitive neural mechanism, the cognitive mechanism of the three combined effects was explained. The research results show that the combined effect of ambient temperature and vehicle speed has a significant impact on cognitive performance. The differences in the activity of the drivers brain regions are monitored by brain electrophysiological technology to provide guidance for intelligent regulation of the ambient temperature in the vehicle.

Key words: traffic engineering; cognitive performance; ambient temperature; speed; traffic safety; ERP

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