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 in | PloS one Vol. 11; no. 9; p. e0162298 |
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Main Authors | , , , |
Format | Journal Article |
Language | English |
Published |
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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. |
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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 – name: 2 School of Automotive & Transportation, Tianjin University of Technology & Education, Tianjin, China |
Author_xml | – sequence: 1 givenname: Ying surname: Cheng fullname: Cheng, Ying – sequence: 2 givenname: Li surname: Gao fullname: Gao, Li – sequence: 3 givenname: Yanan surname: Zhao fullname: Zhao, Yanan – sequence: 4 givenname: Feng surname: Du fullname: Du, Feng |
BackLink | https://www.ncbi.nlm.nih.gov/pubmed/27657888$$D View this record in MEDLINE/PubMed |
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CitedBy_id | crossref_primary_10_1016_j_trf_2024_11_016 crossref_primary_10_1016_j_aap_2019_05_011 crossref_primary_10_3389_fpsyg_2021_596278 crossref_primary_10_21122_2227_1031_2019_18_6_525_531 crossref_primary_10_3390_s20195582 crossref_primary_10_1016_j_trpro_2020_08_096 crossref_primary_10_1080_15376494_2023_2264878 crossref_primary_10_3390_su151612146 |
Cites_doi | 10.1177/001872087201400404 10.1016/S0001-4575(98)00007-4 10.1371/journal.pone.0135505 10.1167/13.13.11 10.1068/p5343 10.1177/001872089103300509 10.1016/j.aap.2011.09.048 10.1007/s10111-013-0254-y 10.1016/j.trf.2015.10.015 10.1037/h0034747 10.16910/jemr.6.1.4 10.1109/TITS.2006.880638 10.16910/jemr.7.4.3 10.1371/journal.pone.0068326 10.1016/j.trc.2006.03.001 10.1016/j.trf.2011.04.008 10.1177/0018720809352654 10.1038/369742a0 10.1016/j.trf.2011.08.007 10.1016/j.aap.2008.10.007 10.1016/j.trf.2012.08.004 |
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Copyright | COPYRIGHT 2016 Public Library of Science 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 |
Copyright_xml | – notice: COPYRIGHT 2016 Public Library of Science – 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. – notice: 2016 Cheng et al 2016 Cheng et al |
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Notes | ObjectType-Article-1 SourceType-Scholarly Journals-1 ObjectType-Feature-2 content type line 14 content type line 23 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 |
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