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作者:

Zhao, Xiaohua (Zhao, Xiaohua.) | Zhang, Changfen (Zhang, Changfen.) | Ju, Yunjie (Ju, Yunjie.) | Li, Jia (Li, Jia.) | Bian, Yang (Bian, Yang.) | Ma, Jianming (Ma, Jianming.)

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SSCI EI PubMed

摘要:

Traffic safety devices are one of the most important tools used to improve safety in tunnels. The tunnel retro-reflective arch (TA) plays a crucial role in stimulating drivers, relieving visual stress, and improving safety. However, determining the TA spacing mostly relies on experience and relevant standards are lacking. The aim of this research was to evaluate the degree of influence of the TA on driver behavior, visual aspects, and psychology in different zones (overall tunnel, curved segment, and middle segment) of extra-long tunnels. To test the influence of TAs, four scenarios were constructed, including three alternatives with different TA spacings (200, 300, and 400 m), and one no-arch design as a control alternative. Based on a driving simulator, the evaluation indicators related to driving safety, smoothness, and handling stability were selected and analyzed. We acquired data every 50 m as an analytical unit. The results show that the TA significantly affects driver behavior, visual aspects, and psychology. According to the matter-element model result, setting the TA spacing to 300 m in curved segment and in the tunnel overall is the best option. In the middle segment, the setting spacing of 400 m is ideal. © 2020 Elsevier Ltd

关键词:

Arches Behavioral research

作者机构:

  • [ 1 ] [Zhao, Xiaohua]Beijing Key Laboratory of Traffic Engineering, College of Metropolitan Transportation, Beijing University of Technology, Beijing; 100124, China
  • [ 2 ] [Zhang, Changfen]The Beijing Engineering Research Center of Urban Transportation Operation Guarantee, The College of Metropolitan Transportation, Beijing University of Technology, Beijing; 100124, China
  • [ 3 ] [Ju, Yunjie]The Beijing Engineering Research Center of Urban Transportation Operation Guarantee, The College of Metropolitan Transportation, Beijing University of Technology, Beijing; 100124, China
  • [ 4 ] [Li, Jia]Beijing Engineering Research Center of Urban Transport Operation Guarantee, College of Metropolitan Transportation, Beijing University of Technology, Beijing; 100124, China
  • [ 5 ] [Bian, Yang]Beijing Key Laboratory of Traffic Engineering, The College of Metropolitan Transportation, Beijing University of Technology, Beijing; 100124, China
  • [ 6 ] [Ma, Jianming]The Texas Department of Transportation, 9500 N. Lake Creek Parkway Austin, TX; 78717, United States

通讯作者信息:

  • [zhao, xiaohua]beijing key laboratory of traffic engineering, college of metropolitan transportation, beijing university of technology, beijing; 100124, china

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来源 :

Accident Analysis and Prevention

ISSN: 0001-4575

年份: 2021

卷: 150

ESI学科: SOCIAL SCIENCES, GENERAL;

ESI高被引阀值:6

被引次数:

WoS核心集被引频次: 0

SCOPUS被引频次: 28

ESI高被引论文在榜: 0 展开所有

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