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author:

Yang, Yanqun (Yang, Yanqun.) [1] | Chen, Yue (Chen, Yue.) [2] | Easa, Said M. (Easa, Said M..) [3] | Chen, Ming (Chen, Ming.) [4] | Zheng, Xinyi (Zheng, Xinyi.) [5]

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EI

Abstract:

The driving environment in the freeway exit areas is complex, and the installation of relevant signs can enhance the creation of a safe and smooth exit area environment. This study investigated the situation awareness (SA) scores of two types of drivers using different signs in the freeway exit areas and the correlation between drivers’ eye movement, driving behavior, and SA scores. The driving tasks were divided into two situations: continuing on the mainline and entering the exit ramp. The independent variables included scene type (static speed limit signs, static speed limit signs plus variable message signs, variable speed limit signs, variable speed limit signs plus variable message signs), and participant type (experienced and inexperienced participants). The dependent variables were SA, eye movement, and driving behavior. Each participant completed a driving simulation experiment with the two driving tasks, totaling eight scenes. The SA scores were measured using the Situation Awareness Global Assessment Technique (SAGAT). The driving behavior and eye movement were collected during the experimental data analysis segment, and the sensitivity indicators for evaluating drivers’ SA were determined by calculating the correlation with the SAGAT scores. This paper focuses on applying variable message signs (VMS) to speed limits in freeway exit areas from the driver's perspective to enhance driving safety. The findings showed that drivers have better SA in scenes with VMS, and experienced drivers have better SA than inexperienced drivers in the same scene. The VMS affects speed control, and eye movement is a sensitive SA indicator. © 2024

Keyword:

Advanced traveler information systems Automobile drivers Behavioral research Eye movements Variable message signs

Community:

  • [ 1 ] [Yang, Yanqun]College of Civil Engineering, Fuzhou University, Fujian; 350116, China
  • [ 2 ] [Yang, Yanqun]Joint International Research Laboratory on Traffic Psychology & Behaviors, Fuzhou University, Fujian; 350116, China
  • [ 3 ] [Chen, Yue]College of Civil Engineering, Fuzhou University, Fujian; 350116, China
  • [ 4 ] [Chen, Yue]Joint International Research Laboratory on Traffic Psychology & Behaviors, Fuzhou University, Fujian; 350116, China
  • [ 5 ] [Easa, Said M.]Joint International Research Laboratory on Traffic Psychology & Behaviors, Fuzhou University, Fujian; 350116, China
  • [ 6 ] [Easa, Said M.]Department of Civil Engineering, Toronto Metropolitan University, Toronto; M5B 2K3, Canada
  • [ 7 ] [Chen, Ming]College of Civil Engineering, Fuzhou University, Fujian; 350116, China
  • [ 8 ] [Chen, Ming]Joint International Research Laboratory on Traffic Psychology & Behaviors, Fuzhou University, Fujian; 350116, China
  • [ 9 ] [Zheng, Xinyi]Joint International Research Laboratory on Traffic Psychology & Behaviors, Fuzhou University, Fujian; 350116, China
  • [ 10 ] [Zheng, Xinyi]School of Humanities and Social Sciences, Fuzhou University, Fujian; 350116, China

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Source :

Transportation Research Part F: Traffic Psychology and Behaviour

ISSN: 1369-8478

Year: 2024

Volume: 105

Page: 395-416

3 . 5 0 0

JCR@2023

Cited Count:

WoS CC Cited Count:

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ESI Highly Cited Papers on the List: 0 Unfold All

WanFang Cited Count:

Chinese Cited Count:

30 Days PV: 1

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