中文核心期刊
CSCD来源期刊
中国科技核心期刊
RCCSE中国核心学术期刊

重庆交通大学学报(自然科学版) ›› 2014, Vol. 33 ›› Issue (6): 142-145.DOI: 10.3969/j.issn.1674-0696.2014.06.30

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草原公路驾驶员时域分析指标与驾驶疲劳灰关联分析

秦伟1,朱守林2 ,裴志永2,秦艳3   

  1. 1.内蒙古建筑职业技术学院 市政与路桥工程学院,内蒙古 呼和浩特 010070;2.内蒙古农业大学 能源与交通工程学院,内蒙古 呼和浩特010018;3.中国农业科学院 草原研究所,内蒙古 呼和浩特 010010
  • 收稿日期:2013-01-10 修回日期:2013-12-29 出版日期:2014-12-15 发布日期:2015-03-10
  • 作者简介:秦伟(1983—),男,江苏沛县人,讲师,工学硕士,主要从事道路桥梁方面的研究。E-mail:nmgqinwei@163.com。
  • 基金资助:
    中央公益性科研院所基本科研业务费专项资金项目(中国农业科学院草原研究所)(1610332012009)

Gray Relation Analysis of Time Domain Index and Driving Fatigue of Prairie Highway Drivers

Qin Wei1,Zhu Shoulin2,Pei Zhiyong2,Qin Yan3   

  1. 1. Municipal & Road & Bridge Engineering College, Inner Mongolia Technical College of Construction, Hohhot 010070, Inner Mongolia, China; 2. College of Energy & Transport Engineering, Inner Mongolia Agricultural University, Hohhot 010018, Inner Mongolia, China; 3. Institute of Grassland Research, Chinese Academy of Agricultural Sciences, Hohhot 010010, Inner Mongolia, China
  • Received:2013-01-10 Revised:2013-12-29 Online:2014-12-15 Published:2015-03-10

摘要: 草原公路具有直线长、纵坡小、景观单一的特点,驾驶员在行车过程中极易产生驾驶疲劳。通过采集、分析驾驶员以自由速度实驾试验的心率变异生理指标,通过定量分析得出驾驶员 在连续驾驶120 min左右出现驾驶疲劳现象。运用灰度分析理论,分析驾驶员心率变异指标中时域分析指标与驾驶疲劳的关联性,得出各时域分析指标与驾驶疲劳的关联程度。

关键词: 交通工程, 草原公路, 疲劳, 指标选取, 关联分析

Abstract: The characteristics of grassland highway are long straight line, slight grade, and monotonous landscape. Drivers are liable to become tired when they travel on this kind of road. Drivers’ heart rate variability(HRV) data were collected when they travelled along grassland highway at free speed in the field. And after quantificationally analyzing these data, it is concluded that drivers always begin to become tired after they continuously drive 120 minutes. Using gray scale analysis theory, the relationship between time domain indicators of drivers and driving fatigue were studied, and the degree of correlation of them was found.

Key words: traffic engineering, prairie highway, fatigue, selection of indicator, relation analysis

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