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Drivers’ Visual Characteristics when Merging onto or Exiting an Urban Expressway
The aim of this study is to examine drivers’ visual and driving behavior while merging onto or exiting an urban expressway with low and high traffic densities. The analysis was conducted according to three periods (approaching, merging or exiting, and accelerating or decelerating). A total of 10 sub...
Autores principales: | , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Public Library of Science
2016
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5033524/ https://www.ncbi.nlm.nih.gov/pubmed/27657888 http://dx.doi.org/10.1371/journal.pone.0162298 |
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author | Cheng, Ying Gao, Li Zhao, Yanan Du, Feng |
author_facet | Cheng, Ying Gao, Li Zhao, Yanan Du, Feng |
author_sort | Cheng, Ying |
collection | PubMed |
description | The aim of this study is to examine drivers’ visual and driving behavior while merging onto or exiting an urban expressway with low and high traffic densities. The analysis was conducted according to three periods (approaching, merging or exiting, and accelerating or decelerating). A total of 10 subjects (8 males and 2 females) with ages ranging from 25 to 52 years old (M = 30.0 years old) participated in the study. The research was conducted in a natural driving situation, and the drivers’ eye movements were monitored and recorded using an eye tracking system. The results show that the influence of traffic density on the glance duration and scan duration is more significant when merging than when exiting. The results also demonstrate that the number of glances and the mean glance duration are mainly related to the driving task (e.g., the merging period). Therefore, drivers’ visual search strategies mainly depend on the current driving task. With regard to driving behavior, the variation tendencies of the duration and the velocity of each period are similar. These results support building an automated driving assistant system that can automatically identify gaps and accelerate or decelerate the car accordingly or provide suggestions to the driver to do so. |
format | Online Article Text |
id | pubmed-5033524 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2016 |
publisher | Public Library of Science |
record_format | MEDLINE/PubMed |
spelling | pubmed-50335242016-10-10 Drivers’ Visual Characteristics when Merging onto or Exiting an Urban Expressway Cheng, Ying Gao, Li Zhao, Yanan Du, Feng PLoS One Research Article The aim of this study is to examine drivers’ visual and driving behavior while merging onto or exiting an urban expressway with low and high traffic densities. The analysis was conducted according to three periods (approaching, merging or exiting, and accelerating or decelerating). A total of 10 subjects (8 males and 2 females) with ages ranging from 25 to 52 years old (M = 30.0 years old) participated in the study. The research was conducted in a natural driving situation, and the drivers’ eye movements were monitored and recorded using an eye tracking system. The results show that the influence of traffic density on the glance duration and scan duration is more significant when merging than when exiting. The results also demonstrate that the number of glances and the mean glance duration are mainly related to the driving task (e.g., the merging period). Therefore, drivers’ visual search strategies mainly depend on the current driving task. With regard to driving behavior, the variation tendencies of the duration and the velocity of each period are similar. These results support building an automated driving assistant system that can automatically identify gaps and accelerate or decelerate the car accordingly or provide suggestions to the driver to do so. Public Library of Science 2016-09-22 /pmc/articles/PMC5033524/ /pubmed/27657888 http://dx.doi.org/10.1371/journal.pone.0162298 Text en © 2016 Cheng et al http://creativecommons.org/licenses/by/4.0/ This is an open access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0/) , which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited. |
spellingShingle | Research Article Cheng, Ying Gao, Li Zhao, Yanan Du, Feng Drivers’ Visual Characteristics when Merging onto or Exiting an Urban Expressway |
title | Drivers’ Visual Characteristics when Merging onto or Exiting an Urban Expressway |
title_full | Drivers’ Visual Characteristics when Merging onto or Exiting an Urban Expressway |
title_fullStr | Drivers’ Visual Characteristics when Merging onto or Exiting an Urban Expressway |
title_full_unstemmed | Drivers’ Visual Characteristics when Merging onto or Exiting an Urban Expressway |
title_short | Drivers’ Visual Characteristics when Merging onto or Exiting an Urban Expressway |
title_sort | drivers’ visual characteristics when merging onto or exiting an urban expressway |
topic | Research Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5033524/ https://www.ncbi.nlm.nih.gov/pubmed/27657888 http://dx.doi.org/10.1371/journal.pone.0162298 |
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