Volume 42 Issue 1
Feb.  2024
Turn off MathJax
Article Contents
MU Junlong, YANG Di, JIAO Chengwu, KONG Fanxing, CHEN Zhenghuan, XU Jin. Drivers' Mental Load Characteristics at the Entrance and Exit of High-density Interchanges Based on Heart Rate Variability[J]. Journal of Transport Information and Safety, 2024, 42(1): 28-40. doi: 10.3963/j.jssn.1674-4861.2024.01.004
Citation: MU Junlong, YANG Di, JIAO Chengwu, KONG Fanxing, CHEN Zhenghuan, XU Jin. Drivers' Mental Load Characteristics at the Entrance and Exit of High-density Interchanges Based on Heart Rate Variability[J]. Journal of Transport Information and Safety, 2024, 42(1): 28-40. doi: 10.3963/j.jssn.1674-4861.2024.01.004

Drivers' Mental Load Characteristics at the Entrance and Exit of High-density Interchanges Based on Heart Rate Variability

doi: 10.3963/j.jssn.1674-4861.2024.01.004
  • Received Date: 2023-07-25
    Available Online: 2024-05-31
  • Interchange bridges serve as important nodes in road traffic networks, facilitating the redirection of traffic flows in different directions. Currently, high-density interchanges are increasingly common in urban road networks. With closer spacing of high-density interchanges compared to regular ones, denser vehicle weaving occurs and drivers are required to perform merging and diverging maneuvers in a shorter time. To investigate the impact of interchange spacing on drivers' mental load and the corresponding statistical characteristics in the entrances and exits of high-density interchanges, a segment of the Inner Ring Expressway in Chongqing with four consecutive interchanges, three of which are high-density interchanges, was selected as the research site. Electrocardiogram data from 47 drivers during on-road experiments were collected using in-vehicle instruments. Differential analysis was conducted on the temporal and spectral indices of driver heart rate variability between the entrances and exits of high-density and regular-spacing interchanges, revealing the distributions of drivers' mental load in these sections. The results indicate that: There is no significant difference in the temporal index of heart rate variability between drivers passing through the entrances and exits of regular-spacing and high-density interchanges. However, there is a significant difference in the spectral index, i.e., the ratio of low-frequency to high-frequency power of heart rate variability (LF/HF), which is believed can serve as the main indicator for evaluating drivers' mental load in interchange entrances and exits. When passing through the entrances of high-density interchanges, the LF/HF significantly increased compared to the one when passing through the entrances of regular-spacing interchanges, indicating that insufficient interchange spacing would increase mental load in the entrances of interchanges. Conversely, the LF/HF is significantly higher when passing through the exits of regular-spacing interchanges than the one when passing through the exits of high-density interchanges, indicating greater mental load when passing through exits of regular-spacing interchanges. For high-density interchanges, drivers' mental load in entrances are slightly higher than that in exits.

     

  • loading
  • [1]
    黄治炉. 互通式立交设置及出入口研究[D]. 西安: 长安大学, 2016.

    HUANG Z L. Research on establishment and exit and entrance of interchange bridge[D]. Xi'an: Chang'an University, 2016. (in Chinese)
    [2]
    胡静. 基于自然驾驶的山地城市立交心理负荷研究[D]. 重庆: 重庆交通大学, 2019.

    HU J. Research on the psychological load of mountain city interchange based on natural driving. [D]. Chongqing: Chongqing Jiaotong University, 2019. (in Chinese)
    [3]
    张雪榆, 潘存书, 林伟, 等. 山地城市多车道交织区驾驶人心理负荷研究[J]. 中国安全科学学报, 2022, 32(3): 25-32. https://www.cnki.com.cn/Article/CJFDTOTAL-ZAQK202203004.htm

    ZHANG X Y, PAN C S, LIN W, et al. Psychological load of drivers in multi-lane interweaving areas of urban roads[J]. China Safety Science Journal, 2022, 32(3): 25-32. (in Chinese) https://www.cnki.com.cn/Article/CJFDTOTAL-ZAQK202203004.htm
    [4]
    吕贞, 戚春华, 朱守林. 草原公路超车工况下驾驶人动态视觉特性及负荷[J]. 中国安全科学学报, 2022, 32(4): 15-22. https://www.cnki.com.cn/Article/CJFDTOTAL-ZAQK202204003.htm

    LYU Z, QI C H, ZHU S L. Dynamic visual characteristics and load of drivers during overtaking maneuvers on prairie highways[J]. China Safety Science Journal, 2022, 32(4): 15-22. (in Chinese) https://www.cnki.com.cn/Article/CJFDTOTAL-ZAQK202204003.htm
    [5]
    李小菊, 高明星, 方淑艳. 草原公路路域景观对驾驶人心率变异影响研究[J]. 公路, 2022, 67(7): 335-339. https://www.cnki.com.cn/Article/CJFDTOTAL-GLGL202207056.htm

    LI X J, GAO M X, FANG S Y. Study on the effect of grassland highway landscape on driver's heart rate variability[J]. Highway, 2022, 67(7): 335-339. (in Chinese) https://www.cnki.com.cn/Article/CJFDTOTAL-GLGL202207056.htm
    [6]
    刘敏. 雨雾低能见度环境下基于驾驶人精神负荷的驾驶稳定性状态识别研究[D]. 广州: 华南理工大学, 2017.

    LIU M. Research on the driving stability state distinguish based on the drivers' mental workload under rain-fog low visibility environment[D]. Guangzhou: South China University of Technology, 2017. (in Chinese)
    [7]
    KIM M H, SON J. On-road assessment of in-vehicle driving workload for older drivers: design guidelines for intelligent vehicles[J]. International Journal of Automotive Technology, 2011, 12(2): 265-272. doi: 10.1007/s12239-011-0031-y
    [8]
    CARRY, L, BALDWIN, et al. Dual task assessment of age differences in mental workload with implications for driving[J]. Proceedings of the Human Factors & Ergonomics Society Annual Meeting, 2016, 39(2): 161-171.
    [9]
    WANG B, ZHANG D, JIN J, et al. Research on the influence of information intensity on driver's mental workload in ITS[C]. The 2002 International Symposium on Safety Science and Technology, Taian, China: COSHA, 2002.
    [10]
    YANG Y Q, CHEN Y B, WU C X, et al. Effect of highway directional signs on driver mental workload and behavior using eye movement and brain wave[J]. Accident Analysis & Prevention, 2020, 146: 105705-105716.
    [11]
    徐进, 陈正欢, 廖祺硕, 等. 基于心电数据的高速公路高密度互通立交驾驶负荷研究[J/OL]. (2023-06-09)[2023-7-25]. https://doi.org/10.13229/j.cnki.jdxbgxb.20221522.

    XU J, CHEN Z H, LIAO Q S, et al. Mental workload of drivers at high-density interchanges of freeways based on ECG data[J/OL]. (2023-06-09)[2023-7-25]. https://doi.org/10.13229/j.cnki.jdxbgxb.20221522.
    [12]
    刘建蓓, 马小龙, 张志伟, 等. 基于心电分析的青藏高原驾驶人疲劳特性[J]. 交通运输工程学报, 2016, 16(4): 151-158. doi: 10.3969/j.issn.1671-1637.2016.04.016

    LIU J B, MA X L, ZHANG Z W, et al. Fatigue characteristics of drivers in Qinghai-Tibet plateau based on ECG analysis[J]. Journal of Transportation Engineering, 2016, 16(4): 151-158. (in Chinese) doi: 10.3969/j.issn.1671-1637.2016.04.016
    [13]
    林声, 刘建蓓, 阎莹, 等. 基于驾驶负荷的山区高速公路长大下坡路段安全性评价模型[J]. 交通运输工程学报, 2013, 13(6): 99-106. doi: 10.3969/j.issn.1671-1637.2013.06.014

    LIN S, LIU J B, YAN Y, et al. Safety evaluation model for long and long downhill sections of mountain expressway based on driving load[J]. Journal of Transportation Engineering, 2013, 13(6): 99-106. (in Chinese) doi: 10.3969/j.issn.1671-1637.2013.06.014
    [14]
    翟俊达, 鲁光泉, 陈发城, 等. 城市交叉口车路网联信息对青年驾驶人驾驶行为的影响分析[J]. 交通信息与安全, 2022, 40(1): 126-134. doi: 10.3963/j.jssn.1674-4861.2022.01.015

    ZHAI J D, LU G Q, CHEN F C, et al. Effects of information from connected vehicles and infrastructure on driving behavior of young drivers at urban intersections[J]. Journal of Transport Information and Safety, 2022, 40(1): 126-134. (in Chinese) doi: 10.3963/j.jssn.1674-4861.2022.01.015
    [15]
    TOZMAN T, MAGDAS E S, MACDOUGALL H G, et al. Understanding the psychophysiology of flow: a driving simulator experiment to investigate the relationship between flow and heart rate variability[J]. Computers in Human Behavior, 2015, 52: 408-418. doi: 10.1016/j.chb.2015.06.023
    [16]
    李天彪, 艾力·斯木吐拉. 高原公路驾驶员心率变异性试验分析[J]. 科学技术与工程, 2015, 15(19): 211-216. doi: 10.3969/j.issn.1671-1815.2015.19.043

    LI T B, AILI S. Analysis of heart rate variability test for highway drivers at high altitude[J]. Science and Technology and Engineering, 2015, 15(19): 211-216. (in Chinese) doi: 10.3969/j.issn.1671-1815.2015.19.043
    [17]
    祝荣欣, 王金武. 基于心肌电的联合收获机驾驶人疲劳检测研究[J]. 农机化研究, 2020, 42(2): 8-14, 43. https://www.cnki.com.cn/Article/CJFDTOTAL-NJYJ202002003.htm

    ZHU R X, WANG J W. Research on fatigue detection of combine harvester driver based on myocardial electricity[J]. Agricultural Mechanization Research, 2020, 42(2): 8-14, 43. (in Chinese) https://www.cnki.com.cn/Article/CJFDTOTAL-NJYJ202002003.htm
    [18]
    赵晓华, 房瑞雪, 荣建, 等. 基于生理信号的驾驶疲劳综合评价方法试验研究[J]. 北京工业大学学报, 2011, 37(10): 1511-1516, 1523. doi: 10.11936/bjutxb2011101511

    ZHAO X H, FANG R X, RONG J, et al. Experimental study of a comprehensive evaluation method of driving fatigue based on physiological signals[J]. Journal of Beijing University of Technology, 2011, 37(10): 1511-1516, 1523. (in Chinese) doi: 10.11936/bjutxb2011101511
    [19]
    於鹏, 严良文, 陈佳乐, 等. 基于心率变异性的人体疲劳度评估模型[J]. 北京生物医学工程, 2021, 40(1): 46-54.

    YU P, YAN L W, CHEN J L, et al. Assessment model based on heart rate variability for human fatigue[J]. Journal of Beijing University of Technology, 2021, 40(1): 46-54. (in Chinese)
    [20]
    倪定安, 郭凤香, 周燕宁. 无信号控制交叉口老年驾驶人转向行为图谱研究[J]. 交通信息与安全, 2022, 40(3): 108-117. doi: 10.3963/j.jssn.1674-4861.2022.03.011

    NI D A, GUO F X, ZHOU Y N. A graph study on turning behaviors of older drivers at unsignalized intersections[J]. Journal of Transport Information and Safety, 2022, 40(3): 108-117. (in Chinese) doi: 10.3963/j.jssn.1674-4861.2022.03.011
    [21]
    袁伟, 郭应时, 付锐, 等. 城市道路类型对驾驶人工作负荷的影响[J]. 长安大学学报(自然科学版), 2014, 34(5): 95-100. https://www.cnki.com.cn/Article/CJFDTOTAL-XAGL201405016.htm

    YUAN W, GUO Y S, FU R, et al. The impact of urban road types on driver workload[J]. Journal of Chang'an University (Natural Science Edition), 2014, 34(5): 95-100. (in Chinese) https://www.cnki.com.cn/Article/CJFDTOTAL-XAGL201405016.htm
  • 加载中

Catalog

    通讯作者: 陈斌, bchen63@163.com
    • 1. 

      沈阳化工大学材料科学与工程学院 沈阳 110142

    1. 本站搜索
    2. 百度学术搜索
    3. 万方数据库搜索
    4. CNKI搜索

    Figures(12)  / Tables(5)

    Article Metrics

    Article views (302) PDF downloads(98) Cited by()
    Proportional views
    Related

    /

    DownLoad:  Full-Size Img  PowerPoint
    Return
    Return