交通运输系统工程与信息

交通运输系统工程与信息 ›› 2026, Vol. 26 ›› Issue (4): 368-379.DOI: 10.16097/j.cnki.1009-6744.2026.04.032

• 智慧机场运营管理 • 上一篇    下一篇

不同空间频率对比敏感度与飞行疲劳的关系模型研究

张荣*1，张茜1，史文萱2   

  1. 1. 中国民航大学，安全科学与工程学院，天津 300300；2. 海口经济学院，时代旅航管理学院，海口 571127
  • 收稿日期:2026-01-14 修回日期:2026-02-15 接受日期:2026-03-02 出版日期:2026-08-25 发布日期:2026-08-21
  • 作者简介:张荣（1988— ），男，河北张家口人，副教授，博士
  • 基金资助:
    天津市自然科学基金 (23JCQNJC00030)；中央高校基本科业务费自然科学重点项目 (3122025102)

Relational Model Between Contrast Sensitivity at Different Spatial Frequencies and Flight Fatigue

ZHANG Rong*1, ZHANG Xi1, SHI Wenxuan2   

  1. 1. College of Safety Science and Engineering, Civil Aviation University of China, Tianjin 300300, China; 2. New Epoch School of Tourism and Civil Aviation Management, Haikou University of Economics, Haikou 571127, China
  • Received:2026-01-14 Revised:2026-02-15 Accepted:2026-03-02 Online:2026-08-25 Published:2026-08-21
  • Supported by:
    Natural Science Foundation of Tianjin, China (23JCQNJC00030); Key Program of the National Natural Science for the Central Universities of Ministry of Education of China (3122025102)

PDF

摘要： 为探究不同空间频率对比敏感度(CS)与飞行疲劳的关系，本文选取20名被试开展不同光环境的模拟飞行实验，对4种空间频率的CS和11种飞行疲劳指标进行采集分析。首先，根据重复测量方差分析结果，获取受光环境变化显著影响的飞行疲劳指标；然后，基于线性混合效应模型方法，构建4种空间频率CS与飞行疲劳的关系模型，并进行拟合优度检验；进一步，绘制边际效应图，分析关系模型中固定效应的可靠性与影响趋势；最后，使用随机截距分布和单因素方差分析方法对关系模型中的随机效应进行显著性检验。结果表明，在 0.1 的显著性水平下，4 种关系模型拟合效果良好，赤池信息量（AIC）和贝叶斯信息量（BIC）均处于较低水平且条件 R2 介于0.332~0.483之间；中低频空间频率（1.5, 3.0, 6.0 cpd）的CS与闪光融合临界频率(CFF)呈显著正相关，且1.5 cpd的CS与CFF的关联表现最优；高频空间频率(13.0 cpd)的CS与瞳孔直径呈显著负相关；随机截距分布和单因素方差分析结果表明，个体差异对应的随机效应均显著( p ＜0.01)。本文揭示不同空间频率CS与飞行疲劳的特异性关联指标，研究成果能够为基于CS的飞行疲劳监 测提供基础理论支撑。

关键词: 航空运输, 对比敏感度, 线性混合效应模型, 飞行疲劳, 空间频率

Abstract: To investigate the relationship between Contrast Sensitivity (CS) at different spatial frequencies and flight fatigue, 20 participants were recruited to conduct a simulated flight experiment under different light environments, in which CS at four spatial frequencies and flight fatigue indicators were collected. First, based on the results of repeated-measures analysis of variance, the flight fatigue indicators which are significantly affected by light environment changes were identified. Subsequently, the relational models between CS at the four spatial frequencies and flight fatigue were constructed by using the linear mixed-effects model, followed by the goodness-of-fit tests for these models. Furthermore, marginal effect plots were generated to analyze the reliability and influence trends of the fixed-effect variables in the constructed relational models. Finally, the significance tests were conducted on the random effects in the relational models using the methods of random intercept distribution and one-way variance analysis. The results showed that at the 0.1 significance level, all four relational models achieved good fitting performance, with relatively low AIC and BIC values and conditional R2 ranging from 0.332 to 0.483. The CS at low-to-moderate spatial frequencies (1.5, 3.0, 6.0 cpd) was significantly positively correlated with the Critical Flicker Frequency (CFF), among which the correlation between CS at 1.5 cpd and CFF exhibited the optimal performance. In contrast, the CS at the high spatial frequency (13.0 cpd) was significantly negatively correlated with Pupil Diameter (PD). The results of random intercept distribution and one-way ANOVA demonstrated that the random effects corresponding to the individual differences were all statistically significant (p＜0.01). This research focused on revealing the specific correlation indicators between CS at different spatial frequencies and flight fatigue, and the findings can provide the basic theoretical support for monitoring flight fatigue based on CS.

Key words: air transportation, contrast sensitivity, linear mixed-effects model, flight fatigue, spatial frequency

中图分类号: