Literature DB >> 24913493

The influence of clear zone size and roadside vegetation on driver behavior.

Cole D Fitzpatrick1, Curt P Harrington2, Michael A Knodler3, Matthew R E Romoser4.   

Abstract

INTRODUCTION: Roadside vegetation provides numerous environmental and psychological benefits to drivers. Previous studies have shown that natural landscapes can effectively lower crash rates and cause less frustration and stress to the driver. However, run-off-the-road crashes resulting in a collision with a tree are twice as likely to result in a fatality, reinforcing the need to examine the placement of vegetation within the clear zone.
METHOD: This study explores the relationship between the size of the clear zone and the presence of roadside vegetation on vehicle speed and lateral position. A static evaluation, distributed electronically to 100 licensed drivers, was utilized to gather speed selections for both real and virtual roads containing four combinations of clear zone sizes and roadside vegetation densities. A case study was included in the static evaluation to investigate the presence of utility poles near the edge of the road on speed selection. Validation of the static evaluation was performed by a field data collection on the same roadways shown to participants in the evaluation.
RESULTS: The speeds observed in the field for roadways with medium clear zone/dense vegetation or large clear zone/spare vegetation correlated with the speeds chosen by static evaluation participants. Further field data were obtained on vehicle speeds and lateral positions for additional roads demonstrating the same clear zone size/vegetation density combinations. PRACTICAL APPLICATION: This study successfully demonstrates the relationship between clear zone design and driver behavior, which could improve clear zone design practices and thus roadway safety.
Copyright © 2014 National Safety Council and Elsevier Ltd. All rights reserved.

Entities:  

Keywords:  Clear zone; Driving simulation; Roadside trees; Safety; Static evaluation

Mesh:

Year:  2014        PMID: 24913493     DOI: 10.1016/j.jsr.2014.03.006

Source DB:  PubMed          Journal:  J Safety Res        ISSN: 0022-4375


  5 in total

1.  Evaluating the Safety Risk of Rural Roadsides Using a Bayesian Network Method.

Authors:  Tianpei Tang; Senlai Zhu; Yuntao Guo; Xizhao Zhou; Yang Cao
Journal:  Int J Environ Res Public Health       Date:  2019-04-01       Impact factor: 3.390

2.  Severity assessment of accidents involving roadside trees based on occupant injury analysis.

Authors:  Guozhu Cheng; Rui Cheng; Yulong Pei; Liang Xu; Weiwei Qi
Journal:  PLoS One       Date:  2020-04-07       Impact factor: 3.240

3.  Improving the Pedestrian's Perceptions of Safety on Street Crossings. Psychological and Neurophysiological Effects of Traffic Lanes, Artificial Lighting, and Vegetation.

Authors:  Carmen Llinares; Juan Luis Higuera-Trujillo; Antoni Montañana; Nuria Castilla
Journal:  Int J Environ Res Public Health       Date:  2020-11-19       Impact factor: 3.390

4.  Assessing Roadside Hybrid Energy Absorbers Using the Example of SafeEnd.

Authors:  Marcin Budzynski; Kazimierz Jamroz; Lukasz Jelinski; Dawid Bruski; Lukasz Pachocki; Grzegorz Baginski
Journal:  Materials (Basel)       Date:  2022-02-24       Impact factor: 3.623

5.  Influence of a Lighting Column in the Working Width of a W-Beam Barrier on TB51 Crash Test.

Authors:  Radoslaw Wolny; Dawid Bruski; Marcin Budzyński; Lukasz Pachocki; Krzysztof Wilde
Journal:  Materials (Basel)       Date:  2022-07-15       Impact factor: 3.748

  5 in total

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