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Utilization of Drivers’ Dynamic Visual Characteristics to Find the Appropriate Information Quantity of Traffic Engineering Facilities on Straight Roads of Grassland Highways

To find the appropriate range of information quantity, we studied how the information quantity of traffic engineering facilities (TEFs) on straight roads of grassland highways affects a driver’s eye movements. We used a combination of survey, statistics, analysis of variance, and the establishment o...

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Autores principales: Li, Hangtian, Xie, Songfang, Yang, Feng, Lu, Yang, Zhu, Shoulin
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9210929/
https://www.ncbi.nlm.nih.gov/pubmed/35747211
http://dx.doi.org/10.3389/fnins.2022.872863
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author Li, Hangtian
Xie, Songfang
Yang, Feng
Lu, Yang
Zhu, Shoulin
author_facet Li, Hangtian
Xie, Songfang
Yang, Feng
Lu, Yang
Zhu, Shoulin
author_sort Li, Hangtian
collection PubMed
description To find the appropriate range of information quantity, we studied how the information quantity of traffic engineering facilities (TEFs) on straight roads of grassland highways affects a driver’s eye movements. We used a combination of survey, statistics, analysis of variance, and the establishment of virtual scene to do this research, and carried out simulated driving tests at six levels (Z0, Z1, Z2, Z3, Z4, and Z5) of TEF information quantity. The driver’s fixation duration, visual search breadth, and glance speed were evaluated in a quantitative way. Results showed that the information quantity had a significant impact on eye movements. It is concluded that the information quantity from 0 to 10 bits/km may cause problems to drivers, whereas the information quantity of 40 bits/km serves as the limit. The information quantity from 30 to 40 bits/km is the appropriate one for TEF on grassland highways.
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spelling pubmed-92109292022-06-22 Utilization of Drivers’ Dynamic Visual Characteristics to Find the Appropriate Information Quantity of Traffic Engineering Facilities on Straight Roads of Grassland Highways Li, Hangtian Xie, Songfang Yang, Feng Lu, Yang Zhu, Shoulin Front Neurosci Neuroscience To find the appropriate range of information quantity, we studied how the information quantity of traffic engineering facilities (TEFs) on straight roads of grassland highways affects a driver’s eye movements. We used a combination of survey, statistics, analysis of variance, and the establishment of virtual scene to do this research, and carried out simulated driving tests at six levels (Z0, Z1, Z2, Z3, Z4, and Z5) of TEF information quantity. The driver’s fixation duration, visual search breadth, and glance speed were evaluated in a quantitative way. Results showed that the information quantity had a significant impact on eye movements. It is concluded that the information quantity from 0 to 10 bits/km may cause problems to drivers, whereas the information quantity of 40 bits/km serves as the limit. The information quantity from 30 to 40 bits/km is the appropriate one for TEF on grassland highways. Frontiers Media S.A. 2022-06-07 /pmc/articles/PMC9210929/ /pubmed/35747211 http://dx.doi.org/10.3389/fnins.2022.872863 Text en Copyright © 2022 Li, Xie, Yang, Lu and Zhu. https://creativecommons.org/licenses/by/4.0/This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.
spellingShingle Neuroscience
Li, Hangtian
Xie, Songfang
Yang, Feng
Lu, Yang
Zhu, Shoulin
Utilization of Drivers’ Dynamic Visual Characteristics to Find the Appropriate Information Quantity of Traffic Engineering Facilities on Straight Roads of Grassland Highways
title Utilization of Drivers’ Dynamic Visual Characteristics to Find the Appropriate Information Quantity of Traffic Engineering Facilities on Straight Roads of Grassland Highways
title_full Utilization of Drivers’ Dynamic Visual Characteristics to Find the Appropriate Information Quantity of Traffic Engineering Facilities on Straight Roads of Grassland Highways
title_fullStr Utilization of Drivers’ Dynamic Visual Characteristics to Find the Appropriate Information Quantity of Traffic Engineering Facilities on Straight Roads of Grassland Highways
title_full_unstemmed Utilization of Drivers’ Dynamic Visual Characteristics to Find the Appropriate Information Quantity of Traffic Engineering Facilities on Straight Roads of Grassland Highways
title_short Utilization of Drivers’ Dynamic Visual Characteristics to Find the Appropriate Information Quantity of Traffic Engineering Facilities on Straight Roads of Grassland Highways
title_sort utilization of drivers’ dynamic visual characteristics to find the appropriate information quantity of traffic engineering facilities on straight roads of grassland highways
topic Neuroscience
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9210929/
https://www.ncbi.nlm.nih.gov/pubmed/35747211
http://dx.doi.org/10.3389/fnins.2022.872863
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