• 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:

Wei, Zhonghua (Wei, Zhonghua.) | Liu, Sheng (Liu, Sheng.) | Qiu, Shi (Qiu, Shi.) | Zhang, Tongyang (Zhang, Tongyang.) | Wang, Shaofan (Wang, Shaofan.)

收录:

SSCI EI Scopus SCIE

摘要:

Freeway landscape design is closely related to driver performance. How to stimulate drivers' positive physiological condition and improve overall driving performance by adopting ideal landscape design has become a research interest in recent years. This study explores the impact of changing the landscape pattern at appropriate intervals on driver fatigue and negative mental workload. Drivers' mental performance was evaluated under three types of spatial patterns: open, semi-open, and vertical. Thirty drivers, 15 Type A Behavior Pattern (TABP) and 15 Type B Behavior Pattern (TBBP) drivers, respectively, were recruited to conduct the driving simulator experiment. Data on drivers' physiological variation trends show that the mental workload of TABP and TBBP drivers varied under different spatial patterns. The principal factor high frequency (HF) was used to investigate the distance threshold for different freeway landscape patterns based on the analysis of physiological data collected by electrocardiogram (ECG). This study reveals that changing landscape pattern at a certain interval can benefit drivers' physical and mental status. It is suggested that, when the design speed is 100 km/h, changing landscape pattern every 11 km can reduce fatigue and improve driving performance in both TABP and TBBP drivers. The conclusions of this study provide a rationale and guidance for agencies to adopt different spatial patterns in future freeway landscape design.

关键词:

作者机构:

  • [ 1 ] [Wei, Zhonghua]Beijing Univ Technol, Beijing Key Lab Traff Engn, Beijing, Peoples R China
  • [ 2 ] [Liu, Sheng]Beijing Univ Technol, Beijing Key Lab Traff Engn, Beijing, Peoples R China
  • [ 3 ] [Qiu, Shi]Beijing Univ Technol, Beijing Key Lab Traff Engn, Beijing, Peoples R China
  • [ 4 ] [Zhang, Tongyang]China Highway Engn Consulting Corp, Beijing, Peoples R China
  • [ 5 ] [Wang, Shaofan]Beijing Univ Technol, Fac Informat Technol, Beijing Key Lab Multimedia & Intelligent Software, Beijing, Peoples R China

通讯作者信息:

  • [Wang, Shaofan]Beijing Univ Technol, Fac Informat Technol, Beijing Key Lab Multimedia & Intelligent Software, Beijing, 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 :

TRANSPORTATION RESEARCH RECORD

ISSN: 0361-1981

年份: 2018

期: 39

卷: 2672

页码: 52-60

1 . 7 0 0

JCR@2022

ESI学科: ENGINEERING;

ESI高被引阀值:76

JCR分区:4

被引次数:

WoS核心集被引频次: 1

SCOPUS被引频次: 2

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: 3

在线人数/总访问数:1303/2945389
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