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 1...

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Published inPloS one Vol. 11; no. 9; p. e0162298
Main Authors Cheng, Ying, Gao, Li, Zhao, Yanan, Du, Feng
Format Journal Article
LanguageEnglish
Published United States Public Library of Science 22.09.2016
Public Library of Science (PLoS)
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Abstract 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.
AbstractList 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.
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.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.
Audience Academic
Author Cheng, Ying
Zhao, Yanan
Gao, Li
Du, Feng
AuthorAffiliation 1 School of Mechanical Engineering, Beijing Institute of Technology, Beijing, China
2 School of Automotive & Transportation, Tianjin University of Technology & Education, Tianjin, China
University of Muenster, GERMANY
AuthorAffiliation_xml – name: 1 School of Mechanical Engineering, Beijing Institute of Technology, Beijing, China
– name: University of Muenster, GERMANY
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BackLink https://www.ncbi.nlm.nih.gov/pubmed/27657888$$D View this record in MEDLINE/PubMed
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2016 Cheng et al. This is an open access article distributed under the terms of the Creative Commons Attribution License: http://creativecommons.org/licenses/by/4.0/ (the “License”), which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited. Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License.
2016 Cheng et al 2016 Cheng et al
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– notice: 2016 Cheng et al. This is an open access article distributed under the terms of the Creative Commons Attribution License: http://creativecommons.org/licenses/by/4.0/ (the “License”), which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited. Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License.
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Conceptualization: YC LG YNZ.Data curation: YC LG FD.Formal analysis: YC YNZ FD.Funding acquisition: YC FD.Investigation: YC LG YNZ.Methodology: YC FD.Project administration: YC LG YNZ.Resources: YC LG YNZ.Software: YC LG.Supervision: YC LG YNZ.Validation: YC LG YNZ.Visualization: YC LG YNZ.Writing – original draft: YC LG YNZ.Writing – review & editing: YC YNZ.
Competing Interests: The authors have declared that no competing interests exist.
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Snippet 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 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....
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StartPage e0162298
SubjectTerms Automobile driving
Behavior
Biology and Life Sciences
Calibration
Consent
Deceleration
Ecology and Environmental Sciences
Engineering and Technology
Experiments
Eye
Eye movements
Females
Human error
Males
Mechanical engineering
Medicine and Health Sciences
Physical Sciences
Roads & highways
Social Sciences
Studies
Tracking systems
Traffic
Traffic volume
Transportation planning
Visual perception
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Title Drivers’ Visual Characteristics when Merging onto or Exiting an Urban Expressway
URI https://www.ncbi.nlm.nih.gov/pubmed/27657888
https://www.proquest.com/docview/1822391454
https://www.proquest.com/docview/1827917700
https://www.proquest.com/docview/1835434293
https://pubmed.ncbi.nlm.nih.gov/PMC5033524
https://doaj.org/article/1a9edbf61b1e478b9ae6c33569a336cb
http://dx.doi.org/10.1371/journal.pone.0162298
Volume 11
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