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Author:

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

Indexed by:

SSCI EI Scopus PubMed

Abstract:

Traffic safety devices are one of the most important tools used to improve safety in tunnels. The tunnel retroreflective 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.

Keyword:

Driving simulation Effectiveness Matter-element model Tunnel safety Tunnel retro-reflective arch

Author Community:

  • [ 1 ] [Zhao, Xiaohua]Beijing Univ Technol, Coll Metropolitan Transportat, Beijing Key Lab Traff Engn, Beijing 100124, Peoples R China
  • [ 2 ] [Bian, Yang]Beijing Univ Technol, Coll Metropolitan Transportat, Beijing Key Lab Traff Engn, Beijing 100124, Peoples R China
  • [ 3 ] [Zhang, Changfen]Beijing Univ Technol, Beijing Engn Res Ctr Urban Transportat Operat Gua, Coll Metropolitan Transportat, Beijing 100124, Peoples R China
  • [ 4 ] [Ju, Yunjie]Beijing Univ Technol, Beijing Engn Res Ctr Urban Transportat Operat Gua, Coll Metropolitan Transportat, Beijing 100124, Peoples R China
  • [ 5 ] [Li, Jia]Beijing Univ Technol, Beijing Engn Res Ctr Urban Transportat Operat Gua, Coll Metropolitan Transportat, Beijing 100124, Peoples R China
  • [ 6 ] [Ma, Jianming]Texas Dept Transportat, 9500 N Lake Creek Pkwy, Austin, TX 78717 USA

Reprint Author's Address:

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

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Source :

ACCIDENT ANALYSIS AND PREVENTION

ISSN: 0001-4575

Year: 2021

Volume: 150

ESI Discipline: SOCIAL SCIENCES, GENERAL;

ESI HC Threshold:53

JCR Journal Grade:1

Cited Count:

WoS CC Cited Count: 0

SCOPUS Cited Count: 48

ESI Highly Cited Papers on the List: 0 Unfold All

WanFang Cited Count:

Chinese Cited Count:

30 Days PV: 3

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