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作者:

Zhao, Xiaohua (Zhao, Xiaohua.) | Ju, Yunjie (Ju, Yunjie.) | Li, Haijian (Li, Haijian.) | Zhang, Changfen (Zhang, Changfen.) | Ma, Jianming (Ma, Jianming.)

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SSCI EI PubMed

摘要:

Raised pavement markers (RPMs) are among the common safety features of roads, playing an important role in preventing and reducing traffic crashes. RPMs are regarded as an effective measure for reducing the high crash rate and mortality in freeway tunnels in China. In this study, a driving simulator experiment was conducted to investigate the safety of RPMs in a freeway tunnel. Two different RPM layouts were designed and compared to a control with no RPMs, and 32 drivers participated in the driving simulator experiments. The speed, relative speed difference, lateral position, accelerator power, acceleration, and pupil area were used as indicators of the response characteristics of drivers to RPMs, and the interaction of tunnel length, tunnel zone, and RPM alternatives was discussed. The results indicate that a significant interaction effect exists between tunnel length, tunnel zone, and RPM alternatives. RPMs could help reduce driver anxiety, boredom, and fatigue caused by the dark and monotonous tunnel driving environment, and improve driver alertness and consciousness of speed. Also, the driving risk increases with increasing tunnel length (1800 m to 3500 m).

关键词:

driving behavior raised pavement markers RPMs tunnel safety

作者机构:

  • [ 1 ] [Zhao, Xiaohua]Beijing Univ Technol, Beijing Key Lab Traff Engn, Coll Metropolitan Transportat, Beijing 100124, Peoples R China
  • [ 2 ] [Li, Haijian]Beijing Univ Technol, Beijing Key Lab Traff Engn, Coll Metropolitan Transportat, Beijing 100124, Peoples R China
  • [ 3 ] [Ju, Yunjie]Beijing Univ Technol, Coll Metropolitan Transportat, Beijing Engn Res Ctr Urban Transportat Operat Gua, Beijing 100124, Peoples R China
  • [ 4 ] [Zhang, Changfen]Beijing Univ Technol, Coll Metropolitan Transportat, Beijing Engn Res Ctr Urban Transportat Operat Gua, Beijing 100124, Peoples R China
  • [ 5 ] [Ma, Jianming]Texas Dept Transportat, Austin, TX 78701 USA

通讯作者信息:

  • [Li, Haijian]Beijing Univ Technol, Beijing Key Lab Traff Engn, Coll Metropolitan Transportat, Beijing 100124, Peoples R China

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来源 :

ACCIDENT ANALYSIS AND PREVENTION

ISSN: 0001-4575

年份: 2020

卷: 145

ESI学科: SOCIAL SCIENCES, GENERAL;

ESI高被引阀值:18

JCR分区:1

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

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中文被引频次:

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