|Table of Contents|

[1] Chen Fei, Xu Shuang, Li Cunxiao, Zhu Wanxiao, et al. Comprehensive evaluation method for plateau driving fatigue based on psychophysiological indicators [J]. Journal of Southeast University (English Edition), 2024, 40 (4): 355-362. [doi:10.3969/j.issn.1003-7985.2024.04.004]
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Comprehensive evaluation method for plateau driving fatigue based on psychophysiological indicators()
基于心生理指标的高原驾驶疲劳综合评价方法
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Journal of Southeast University (English Edition)[ISSN:1003-7985/CN:32-1325/N]

Volumn:
40
Issue:
2024 4
Page:
355-362
Research Field:
Traffic and Transportation Engineering
Publishing date:
2024-12-03

Info

Title:
Comprehensive evaluation method for plateau driving fatigue based on psychophysiological indicators
基于心生理指标的高原驾驶疲劳综合评价方法
Author(s):
Chen Fei1, Xu Shuang1, Li Cunxiao1, Zhu Wanxiao1, Bo Wu2
1School of Transportation, Southeast University, Nanjing 211189, China
2School of Engineering, Tibet University, Lhasa 850000, China
陈飞1, 徐爽1, 李存孝1, 朱皖肖1, 薄雾2
1东南大学交通学院, 南京 211189; 2西藏大学工学院, 拉萨 850000
Keywords:
plateau area;  driving fatigue;  driving simulation;  psychophysiological indicators
高原地区;  驾驶疲劳;  驾驶模拟;  心生理指标
PACS:
U492.8
DOI:
10.3969/j.issn.1003-7985.2024.04.004
Abstract:
To investigate the effects of plateau environments on driving fatigue, heart rate and electroencephalogram(EEG)signals were chosen as indicators to characterize driving fatigue. The study analyzed the variation in these indicators as drivers transitioned into fatigued stages. By examining the sample entropy of EEG signals and the heart rate variation coefficient, a complex indicator of driving fatigue(CIDF)was established using principal component analysis to overcome the limitations of single-indicator methods. According to the CIDF values, the driving fatigue states in plateau areas were subdivided into three categories, including alertness, mild fatigue, and severe fatigue, by cluster analysis. Optimal binning determined thresholds for different driving fatigue states, which were validated through variance analysis. The results indicate that the CIDF values effectively distinguish the driving fatigue states of drivers in plateau areas. The CIDF thresholds for the alertness and the mild fatigue states are 0.34 and 0.50, respectively. A CIDF value greater than 0.50 indicates that the driver is in a severe fatigue state.
为研究高原环境对驾驶疲劳的影响, 选取脑电信号与心率作为驾驶疲劳表征指标, 分析驾驶员进入疲劳状态全过程的指标变化规律.基于脑电信号样本熵和心率变异系数, 利用主成分分析方法建立驾驶疲劳综合评价指标(CIDF), 以克服单一指标方法的局限性.根据CIDF值, 采用聚类分析方法, 将高原环境下驾驶疲劳状态细分为清醒、轻度疲劳和重度疲劳3种状态.使用最优分箱确定高原地区不同驾驶疲劳状态下的阈值, 并利用方差分析方法进行验证.结果表明, 根据CIDF值可对高原地区驾驶员疲劳状态进行有效划分.清醒和轻度疲劳状态下的CIDF阈值分别为0.34和0.50, CIDF值大于0.50则表示驾驶员处于重度疲劳状态.

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Memo

Memo:
Biography: Chen Fei(1967—), male, doctor, professor, cf@seu.edu.cn.
Foundation items: The National Natural Science Foundation of China(No. 51768063, 51868068).
Citation: Chen Fei, Xu Shuang, Li Cunxiao, et al. Comprehensive evaluation method for plateau driving fatigue based on psychophysiological indicators[J].Journal of Southeast University(English Edition), 2024, 40(4):355-362.DOI:10.3969/j.issn.1003-7985.2024.04.004.
Last Update: 2024-12-20