Literature DB >> 27161563

Modeling the influence of Chevron alignment sign on young male driver performance: A driving simulator study.

Yiping Wu1, Xiaohua Zhao2, Chen Chen1, Jiayuan He3, Jian Rong1, Jianming Ma4.   

Abstract

In China, the Chevron alignment sign on highways is a vertical rectangle with a white arrow and border on a blue background, which differs from its counterpart in other countries. Moreover, little research has been devoted to the effectiveness of China's Chevron signs; there is still no practical method to quantitatively describe the impact of Chevron signs on driver performance in roadway curves. In this paper, a driving simulator experiment collected data on the driving performance of 30 young male drivers as they navigated on 29 different horizontal curves under different conditions (presence of Chevron signs, curve radius and curve direction). To address the heterogeneity issue in the data, three models were estimated and tested: a pooled data linear regression model, a fixed effects model, and a random effects model. According to the Hausman Test and Akaike Information Criterion (AIC), the random effects model offers the best fit. The current study explores the relationship between driver performance (i.e., vehicle speed and lane position) and horizontal curves with respect to the horizontal curvature, presence of Chevron signs, and curve direction. This study lays a foundation for developing procedures and guidelines that would allow more uniform and efficient deployment of Chevron signs on China's highways.
Copyright © 2016 Elsevier Ltd. All rights reserved.

Keywords:  Chevron alignment sign; Driver performance; Driving simulator; Random effects model

Mesh:

Year:  2016        PMID: 27161563     DOI: 10.1016/j.aap.2016.04.024

Source DB:  PubMed          Journal:  Accid Anal Prev        ISSN: 0001-4575


  1 in total

1.  Research on the effectiveness of a intersection risk warning system based on driving simulation experiment.

Authors:  Yiwen Zhou; Fengxiang Guo; Wenchen Yang; Huasen Wan
Journal:  Sci Rep       Date:  2022-07-18       Impact factor: 4.996

  1 in total

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