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驾驶人的身心状态和接管行为关联规则挖掘

王高飞 陈浩林 马景峰 张玺 刘松

计算机与现代化Issue(8):35-43,9.
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计算机与现代化Issue(8):35-43,9.DOI:10.3969/j.issn.1006-2475.2026.08.005

驾驶人的身心状态和接管行为关联规则挖掘

The Mining of Association Rules Between Driver's Psycho-physiological State and Takeover Behavior

王高飞 1陈浩林 2马景峰 3张玺 4刘松4

作者信息

  • 1. 陕西铁路工程职业技术学院,陕西 渭南 714099
  • 2. 山东科技大学,山东 青岛 266590
  • 3. 昆明理工大学,云南 昆明 650500
  • 4. 重庆交通大学,重庆 400074
  • 折叠

摘要

Abstract

This study investigate the effects of mild sleep deprivation,driving environment,and time of day on driver takeover quality and psycho-physiological states,and further examine the associations between psycho-physiological states and takeover performance.A driving simulation experiment is conducted with 63 participants,during which physiological signals,including electrodermal activity,electrocardiogram,and respiration,as well as behavioral data,are collected.Two-way analysis of vari-ance and Pearson correlation analysis are used to examine the effects of these factors and the relationships between physiological responses and takeover behavior.In addition,the pathways influencing driver takeover performance are explored using the Apriori algorithm.The results show that mild sleep deprivation significantly increases instantaneous stress responses,shortened reaction time,and results in more aggressive steering maneuvers.Compared with rural scenarios,urban scenarios induce higher skin conductance responses and larger maximum steering wheel angles.A significant time-of-day effect is also observed,with higher electrodermal activity and respiratory rate in the afternoon than in the morning.Correlation analysis further reveal dynamic associations between physiological indicators and takeover behavior:skin conductance level is positively correlated with reaction time,heart rate is positively correlated with steering wheel angle,and respiration depth is negatively correlated with steering am-plitude.Moreover,the association rule analysis show that,in urban scenarios,sleep deprivation combining with elevated heart rate significantly improving reaction speed,suggesting that environmental stress may partially offset the negative effects of sleep deprivation.These findings provide important human factors evidence for optimizing human-machine coordination strategies in automated driving systems,particularly in time-specific physiological monitoring and the adaptive design of human-machine in-terfaces.

关键词

有条件自动驾驶/轻度睡眠剥夺/生心理状态/接管行为/Apriori算法/驾驶模拟器

Key words

automated driving/mild sleep deprivation/psycho-physiological state/takeover behavior/Apriori algorithm/driv-ing simulator

分类

信息技术与安全科学

引用本文复制引用

王高飞,陈浩林,马景峰,张玺,刘松..驾驶人的身心状态和接管行为关联规则挖掘[J].计算机与现代化,2026,(8):35-43,9.

基金项目

国家自然科学基金资助项目(52502401) (52502401)

重庆市教委科学技术研究计划项目(KJQN202400750) (KJQN202400750)

陕西铁路工程职业技术学院2023第二批校级科研计划项目(2023KYYB-15) (2023KYYB-15)

中国交通教育研究会2024-2026年度教育科学研究课题(JT2024YB422) (JT2024YB422)

计算机与现代化

1006-2475

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