• 综合
  • 标题
  • 关键词
  • 摘要
  • 学者
  • 期刊-刊名
  • 期刊-ISSN
  • 会议名称
搜索

作者:

Zhang, Xingjian (Zhang, Xingjian.) | Zhao, Xiaohua (Zhao, Xiaohua.) | Du, Hongji (Du, Hongji.) | Rong, Jian (Rong, Jian.) (学者:荣建)

收录:

SSCI Scopus SCIE

摘要:

Objective: The purpose of this study was to analyze the effects of fatigue driving and drunk driving on drivers' physical characteristics; to analyze the differences in drivers' physical characteristics affected by different kinds of fatigue; and to compare the differences in the effects of the 2 driving states, fatigue driving and drunk driving. Methods: Twenty-five participants' physical characteristics were collected under 5 controlled situations: normal, tired driving, drowsy driving, drowsiness + tired driving, and drunk driving. In this article, fatigue driving refers to tiredness and drowsiness and includes 3 situations: tired driving, drowsy driving, and drowsiness + tired driving. The drivers' physical characteristics were measured in terms of 9 parameters: systolic blood pressure (SBP), heart rate (HR), eyesight, dynamic visual acuity (DVA), time for dark adaption (TDA), reaction time to sound (RTS), reaction time to light (RTL), deviation of depth perception (DDP), and time deviation of speed anticipation (TDSA). They were analyzed using analysis of variance (ANOVA) with repeated measures. Binary logistical regression analysis was used to explain the relationship between drivers' physical characteristics and the two driving states. Results: Most of the drivers' physical characteristic parameters were found to be significantly different under the influence of different situations. Four indicators are significantly affected by fatigue driving during deep fatigue (in decreasing order of influence): HR, RTL, SBP and RTS. HR and RTL are significant in the logistical regression model of the drowsiness + tired driving situation and normal situations. Six indicators of the drivers' physical characteristics are significantly affected by drunk driving (in decreasing order of influence): SBP, RTL, DDP, eyesight, RTS, and TDSA. SBP and DDP have a significant effect in the logistical regression model of the drunk driving situation and the normal situation. Conclusions: Both fatigue driving and drunk driving are found to impair drivers' physical characteristics. However, their impacts on the parameters SBP, HR, eyesight, and TDSA are different. A driver's physical characteristics will be impaired more seriously when he continues driving while drowsy, compared to driving under normal situation. These findings contribute to the current research on identifying drivers' driving state and quantifying the effects of fatigue driving and drunk driving on driving ability and driving behavior.

关键词:

impairment drunk driving drivers' physical characteristics fatigue driving influence mechanism

作者机构:

  • [ 1 ] [Zhang, Xingjian]Beijing Univ Technol, Transportat Res Ctr, Beijing 100124, Peoples R China
  • [ 2 ] [Zhao, Xiaohua]Beijing Univ Technol, Transportat Res Ctr, Beijing 100124, Peoples R China
  • [ 3 ] [Du, Hongji]Beijing Univ Technol, Transportat Res Ctr, Beijing 100124, Peoples R China
  • [ 4 ] [Rong, Jian]Beijing Univ Technol, Transportat Res Ctr, Beijing 100124, Peoples R China

通讯作者信息:

  • [Zhao, Xiaohua]Beijing Univ Technol, Transportat Res Ctr, 100 Pingleyuan, Beijing 100124, Peoples R China

电子邮件地址:

查看成果更多字段

相关关键词:

相关文章:

来源 :

TRAFFIC INJURY PREVENTION

ISSN: 1538-9588

年份: 2014

期: 8

卷: 15

页码: 801-808

2 . 0 0 0

JCR@2022

ESI学科: SOCIAL SCIENCES, GENERAL;

ESI高被引阀值:153

JCR分区:2

中科院分区:4

被引次数:

WoS核心集被引频次: 21

SCOPUS被引频次: 22

ESI高被引论文在榜: 0 展开所有

万方被引频次:

中文被引频次:

近30日浏览量: 0

在线人数/总访问数:1928/4279030
地址:北京工业大学图书馆(北京市朝阳区平乐园100号 邮编:100124) 联系我们:010-67392185
版权所有:北京工业大学图书馆 站点建设与维护:北京爱琴海乐之技术有限公司