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Author:

Ju, Yunjie (Ju, Yunjie.) | Chen, Feng (Chen, Feng.) | Li, Jia (Li, Jia.) | Zhao, Xiaohua (Zhao, Xiaohua.) | Dong, Wenhui (Dong, Wenhui.)

Indexed by:

SSCI EI Scopus SCIE

Abstract:

ObjectivesWith the rapid development of expressways in the mountainous regions of southwestern China, closely spaced tunnel-interchange structures have inevitably emerged due to topographical constraints and environmental limitations. Given the unfavorable road geometry and rapid cross-section transitions, drivers face significant safety concerns. This study aims to investigate drivers' safety performance at closely spaced tunnel-interchange sections and determine how safety risks can be mitigated through improved traffic control devices design.MethodsThirty-nine participants conducted an experimental study in a fixed-base simulator. The test scenario was modeled on the Xingyan Freeway-S3801 and accurately reproduced in the simulator. For each safety performance metric, the driving simulator experiments yielded a dataset with 780 observations. To address the idiosyncratic variation due to individual driver differences, a series of linear mixed effects models (LMM) were developed to analyze drivers' behavior responses.ResultsIn closely spaced tunnel-interchange sections, a general impairment of both longitudinal and lateral performance was observed. This study identified potential critical impact variables in traffic control device systems. According to the LMM results: (a) Removing the 0.5 km interchange ramp exit advance guide sign located in the tunnel exit area reduces dangerous behavior in the corresponding impact area. (b) Replacing the 0.5 km interchange ramp exit advance guide sign with arrow pavement markers as an information source supports improved driver performance, promoting driver safety. (c) Adding tunnel exit distance signs within tunnels is recommended to enhance situation awareness for drivers.ConclusionsThis study addresses the scientific issues related to traffic control devices setup for closely spaced tunnel-interchange sections, focusing on identifying potential critical impact variables. The findings provide guidance on the design of traffic control devices for such sections and support revisions to national engineering standards.

Keyword:

driver behavior traffic control devices linear mixed effects models Tunnel-interchange section

Author Community:

  • [ 1 ] [Ju, Yunjie]Tongji Univ, Key Lab Rd & Traff Engn, Minist Educ, Shanghai, Peoples R China
  • [ 2 ] [Chen, Feng]Tongji Univ, Key Lab Rd & Traff Engn, Minist Educ, Shanghai, Peoples R China
  • [ 3 ] [Li, Jia]Beijing Univ Technol, Coll Metropolitan Transportat, Beijing Key Lab Traff Engn, Beijing, Peoples R China
  • [ 4 ] [Zhao, Xiaohua]Beijing Univ Technol, Coll Metropolitan Transportat, Beijing Key Lab Traff Engn, Beijing, Peoples R China
  • [ 5 ] [Dong, Wenhui]Beijing Univ Technol, Coll Metropolitan Transportat, Beijing Key Lab Traff Engn, Beijing, Peoples R China

Reprint Author's Address:

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

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Source :

TRAFFIC INJURY PREVENTION

ISSN: 1538-9588

Year: 2024

Issue: 2

Volume: 26

Page: 207-214

2 . 0 0 0

JCR@2022

Cited Count:

WoS CC Cited Count:

SCOPUS Cited Count:

ESI Highly Cited Papers on the List: 0 Unfold All

WanFang Cited Count:

Chinese Cited Count:

30 Days PV: 9

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