Volume 43 Issue 5
Oct.  2025
Turn off MathJax
Article Contents
CHEN Yongtong, YANG Zimiao, WANG Tao, ZHU Xinglin, XU Jin. Gender Differences in Drivers' Eye Movement Characteristics at High-Density Interchanges[J]. Journal of Transport Information and Safety, 2025, 43(5): 115-127. doi: 10.3963/j.jssn.1674-4861.2025.05.011
Citation: CHEN Yongtong, YANG Zimiao, WANG Tao, ZHU Xinglin, XU Jin. Gender Differences in Drivers' Eye Movement Characteristics at High-Density Interchanges[J]. Journal of Transport Information and Safety, 2025, 43(5): 115-127. doi: 10.3963/j.jssn.1674-4861.2025.05.011

Gender Differences in Drivers' Eye Movement Characteristics at High-Density Interchanges

doi: 10.3963/j.jssn.1674-4861.2025.05.011
  • Received Date: 2024-11-08
    Available Online: 2026-03-05
  • In order to analyze the differences in eye movement characteristics of drivers of different genders in a high-density interchange environment, a real vehicle driving test is conducted on the Donghuan-Zhangjialiang high-density interchange section in Chongqing, involving 38 subjects with one invalid data. Eye movement indicators such as fixation point position, duration, frequency, saccade amplitude, speed, and frequency are collected. Based on the trajectory characteristics of interchange driving, the driving process is divided into four conditions, including entering the main line, exiting the main line, main line driving, and auxiliary road driving. The visual drivers area of interest on the high-density interchange of expressway are divided into seven regions using the k-medoids dynamic clustering method, and a fixation transition model is constructed via the Markov chain to comparatively analyze the eye movement characteristics and fixation transition rules of drivers of different genders. The results indicate that the average value of the driver's fixation time is mainly distributed in 100~200 ms, of which the maximum value of fixation time is 299.1 ms and the minimum value is 68.0 ms. There are differences between male and female drivers in terms of fixation frequency, single fixation time, saccade amplitude and saccade frequency, the maximum fixation frequency for males is higher than that for females, reaching 2.6 n/s, while the minimum for females is lower than that for males, being 0.15 n/s. The maximum saccade frequency for females is higher than that for males, reaching 7.9 n/s, while the minimum for males is lower than that for females, being 0.8 n/s. Male drivers exhibit a lower frequency of fixation, longer duration of single fixation, and higher amplitude and speed of saccade, while the situation is converse for female drivers. Gender differences are also manifested in the behavior of fixation shift: in regular clearance interchanges, male drivers tend to focus more on the distant area of the current lane and the right rearview mirror, whereas female drivers pay greater attention to the nearby area of the current lane and the left rearview mirror. In small clearance interchanges, male drivers show higher concern for the distant area of the current lane and the left rearview mirror, while female drivers focus more on the front of the current lane and the front of the left and right lanes. In simple driving scenarios such as mainline/auxiliary roads, female drivers conduct more meticulous observations of the road environment, while male drivers are more preoccupied with information related to vehicle speed control and route planning.

     

  • loading
  • [1]
    李作敏. 交通工程学[M]. 北京: 人民交通出版社, 2000.

    LI Z M. Traffic engineering[M]. Beijing: China Communications Press, 2000. (in Chinese)
    [2]
    NAMGUNG M, SUNG S L. Analysis on characteristics of driver's visual change on the roundabout[J]. Journal of the Korea Entertainment Industry Association, 2016, 10: 293.
    [3]
    LEHTONENL E, LAPPI O, SUMMALA H. Anticipatory eye movements when approaching a curve on a rural road depend on working memory load[J]. Transportation Research Part F: Psychology and Behavior, 2012, 15(3): 369-377.
    [4]
    VANSTON J E, STROTHER L. Sex differences in the human visual system[J]. Journal of Neuroscience Research, 2017, 95 (1-2): 617-625.
    [5]
    BILLINO J, BREMMER F, GEGENFURTNER K R. Differential aging of motion processing mechanisms: evidence against general perceptual decline[J]. Vision Research, 2008, 48(10): 1254-1261.
    [6]
    MURRAY S O, SCHALLMO M P, KOLODNY T, et al. Sex differences in visual motion processing[J]. Current Biology, 2018, 28(17): 2794-2799.
    [7]
    SARGEZEH B A, TAVAKOLI N, DALIRI M R. Gender-based eye movement differences in passive indoor picture viewing: an eye-tracking study[J]. Physiology & Behavior, 2019, 206: 43-50.
    [8]
    JIANG G, CAO S, CHEN S, et al. Gender differences in visual perception of park landscapes based on eye-tracking technology: a case study of Beihai Park in Beijing[J]. Buildings, 2025, 15(16): 2858.
    [9]
    TEY L S, FERREIRA L, WALLACE A. Measuring driver responses at railway level crossings[J]. Accident Analysis & Prevention, 2011, 43(6): 2134-2141.
    [10]
    徐进, 杨雪敏, 张雪榆, 等. 基于自然驾驶数据的高密度立交出入口车辆轨迹特征研究[J]. 交通信息与安全, 2023, 41 (6): 20-31, 81. doi: 10.3963/j.jssn.1674-4861.2023.06.003

    XU J, YANG X M, ZHANG X Y, et al. Vehicle trajectory characteristics at the entrances and exits of high-density interchanges: a naturalistic driving data study[J]. Journal of Transport Information and Safety, 2023, 41(6): 20-31, 81. (in Chinese) doi: 10.3963/j.jssn.1674-4861.2023.06.003
    [11]
    郑东鹏, 蒋祖华, 章倩. 驾驶员风险驾驶行为及影响因素分析[J]. 人类工效学, 2014, 20(1): 20-25.

    ZHENG D P, JIANG Z H, ZHANG Q. Analysis of drivers' risky driving behavior and influencing factors[J]. Chinese Journal of Ergonomics, 2014, 20(1): 20-25. (in Chinese)
    [12]
    YAN X, RADWAN E, GUO D. Effects of major road vehicle speed and driver age and gender on left-turn gap acceptance[J]. Accident Analysis & Prevention, 2007, 39(4): 843-852.
    [13]
    MERGIA W Y, EUSTACE D, CHIMBA D, et al. Exploring factors contributing to injury severity at freeway merging and diverging locations in Ohio[J]. Accident Analysis & Prevention, 2013, 55(3): 202-210.
    [14]
    HANG J, YAN X, MA L, et al. Exploring the effects of the location of the lane-end sign and traffic volume on multistage lane-changing behaviors in work zone areas: a driving simulator-based study[J]. Transportation Research Part F: Traffic Psychology and Behavior, 2018, 58: 980-993.
    [15]
    杨静思, 闫学东, 段克. 基于驾驶模拟器的性别对信控铁路道口抵近行为的影响研究[J]. 中国公路学报, 2020, 33(6): 54-64.

    YANG J S, YAN X D, DUAN K. Research on the influence of gender based on driving simulator on approaching behavior of signal-controlled railway crossing[J]. China Journal of Highway and Transport, 2020, 33(6): 54-64. (in Chinese)
    [16]
    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[J]. 吉林大学学报(工学版), 2024, 54 (10): 2807-2818.

    XU J, CHEN Z H, LIAO Q S, et al. Research on driving load of highway high-density interchange based on ECG data[J]. Journal of Jilin University(Engineering and Technology Edition), 2024, 54(10): 2807-2818. (in Chinese)
    [17]
    赵荣达, 夏玉兰, 杨榆璋, 等. 考虑驾驶人性别差异的绿灯倒计时时长推测[J]. 广西大学学报(自然科学版), 2023, 48 (1): 90-102.

    ZHAO R D, XIA Y L, YANG Y Z, et al. Speculation on the countdown duration of green light considering the gender difference of drivers[J]. Journal of Guangxi University(Natural Science Edition), 2023, 48(1): 90-102. (in Chinese)
    [18]
    房日荣. 不同类别驾驶员的驾驶行为特性差异实验研究[J]. 安全与环境工程, 2020, 27(5): 204-208.

    FANG R R. Experimental study on the difference of driving behavior characteristics of different types of drivers[J]. Safety and Environmental Engineering, 2020, 27(5): 204-208. (in Chinese)
    [19]
    BEND J, GÖDKER M, FRANKE T. AI and mobile technologies for driver fatigue detection: sex differences revealed by eye-tracking metrics[J]. International Journal of Interactive Mobile Technologies, 2025, 19(11): 143-158.
    [20]
    WANG Q, ZHOU T, WU B, et al. The influence of driver experience and gender on visual behavior during reverse parking[J/OL]. (2025-07-15)[2025-10-30]. http://dx.doi.org/10.2139/ssrn.5352247.
    [21]
    YANG Y, WONG A, MCDONALD M. Does gender make a difference to performing in-vehicle tasks?[J]. IEEE Transactions on Intelligent Transportation Systems, 2015, 9: 359-365.
    [22]
    王琳虹, 李洪涛, 李若楠. 考虑驾驶人视觉搜索能力的雨天公路限速设计[J]. 华南理工大学学报(自然科学版), 2023, 51(6): 20-29.

    WANG L H, LI H T, LI R N. Design of speed limit on rainy highway considering driver's visual search ability[J]. Journal of South China University of Technology(Natural Science Edition), 2023, 51(6): 20-29. (in Chinese)
    [23]
    LE A S, INAGAMI M, HAMADA H, et al. Towards online detection of driver distraction: eye-movement simulation based on a combination of vestibulo-ocular reflex and optokinetic reflex models[J]. Transportation Research Part F: Traffic Psychology and Behavior, 2019, 65: 716-729.
  • 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(17)  / Tables(2)

    Article Metrics

    Article views (11) PDF downloads(0) Cited by()
    Proportional views
    Related

    /

    DownLoad:  Full-Size Img  PowerPoint
    Return
    Return