Legibility Study Based on Virtual Traffic Scene

Zhang Junyou; Li Sixian; Chen Na

doi:doi:10.11648/j.ijse.20180201.12

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Legibility Study Based on Virtual Traffic Scene

Zhang Junyou, Li Sixian, Chen Na

Published in International Journal of Systems Engineering (Volume 2, Issue 1)

Received: 27 June 2018 Accepted: 9 July 2018 Published: 30 July 2018

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Abstract

The virtual reality is applied to the study of drivers' visibility in traffic scene, which helps to study design specifications effected by the virtual visual, and to provide basis for decision making to improve the fidelity of virtual scene. Various objective and subjective factors are analyzed which affect driver's visibility during their driving, the visibility evaluation system is built which impacts the virtual traffic legibility, and a virtual traffic scene is built with the use of software 3ds Max. The drivers are invited to do some driving simulation experiments, fill out questionnaires, and then with the help of spss16.0 software for the experimental data analysis, and do some visual changes based on the results of the questionnaire related. The experiment is repeated twice to get the best visual scene; and finally an legibility evaluation model is established based on the improved integrated transport scene. Some comprehensive evaluations are made about three sets of virtual traffic visibility scene which provides a reference basis for the future establishment of a virtual traffic scene. According to the validation on the experimental data of questionnaire and model, the analysis on influencing factors about the virtual traffic scene legibility is resulted: roads and marking, signage, landscaping, pedestrian and bicycle, maps and textures, scale, age, etc., all of which set a greater impact on legibility. The modified experiences on perspective, textures, lighting and shading effects, as well as related models' color, the legibility is improved significantly, but the effect of the interaction between the various factors cannot be ignored. Compared to the original value, the secondary questionnaire is more satisfied. Establishment and optimization of the virtual scene have a very important reference to the visual design of virtual traffic and road transport facilities.

Published in	International Journal of Systems Engineering (Volume 2, Issue 1)
DOI	10.11648/j.ijse.20180201.12
Page(s)	9-14
Creative Commons	This is an Open Access article, distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution and reproduction in any medium or format, provided the original work is properly cited.
Copyright	Copyright © The Author(s), 2018. Published by Science Publishing Group

Keywords

Virtual Reality, Traffic Scene, Legibility, Simulation Driving Experiment, Legibility Model

References

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[3]	PAN XD, LIN Y, GUO X B. Research on Traffic Sign Discernible Visual Range under Backlighting Condition [J]. Journal of Highway and Transportation Research and Development, 2006, 23 (5):118-120.
[4]	Masha Maltz, David Shinar. Eye movements of younger and older drivers [J]. Human Factors, 1993, 41 (1):15-25.
[5]	Trent W. Victor, oanne L. Harbluk, Johan A. Engstr m. Sensitivity of eye-movement measures to in-vehicle task difficulty [J]. Transportation Research Part F, 2005, 8 (2):167-190.
[6]	Juyoung Kim, Kyungwoo Kang etc. EvaIuation of Drivers' PsychophysioIogicaI Load at Freeway Merging Area [J]. Traffic safety, 2001, 25 (1):18~21.
[7]	Yang Jianguo, Xiao Yongjian, Wang Zhaoan. Driver's Visual perception Model in microscopic Traffic Simulation [J], Journal of system Simulation, 200517 (10): 2437-2441.
[8]	JING L B. The Environmental Evaluation Index System of Road [D]. Beijing Forestry University. 2008.
[9]	ZHAO Q L. Highway Transportation Performance Evaluation In Dex System And Empirical Researeh [J]. Jilin University, 2011 (6):48-56.
[10]	Zhang Dianye. Driver dynamic Vision and driving Safety Reliability [J]. Journal of Southwest Jiaotong University 200035 (3): 319-322.
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[15]	Xu Hong, Liao Huaigao. Psychology of Traffic Safety [M], Southwest Jiaotong University Press, 2010: 35-39.

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APA Style

Zhang Junyou, Li Sixian, Chen Na. (2018). Legibility Study Based on Virtual Traffic Scene. International Journal of Systems Engineering, 2(1), 9-14. https://doi.org/10.11648/j.ijse.20180201.12

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ACS Style

Zhang Junyou; Li Sixian; Chen Na. Legibility Study Based on Virtual Traffic Scene. Int. J. Syst. Eng. 2018, 2(1), 9-14. doi: 10.11648/j.ijse.20180201.12

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AMA Style

Zhang Junyou, Li Sixian, Chen Na. Legibility Study Based on Virtual Traffic Scene. Int J Syst Eng. 2018;2(1):9-14. doi: 10.11648/j.ijse.20180201.12

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@article{10.11648/j.ijse.20180201.12,
  author = {Zhang Junyou and Li Sixian and Chen Na},
  title = {Legibility Study Based on Virtual Traffic Scene},
  journal = {International Journal of Systems Engineering},
  volume = {2},
  number = {1},
  pages = {9-14},
  doi = {10.11648/j.ijse.20180201.12},
  url = {https://doi.org/10.11648/j.ijse.20180201.12},
  eprint = {https://article.sciencepublishinggroup.com/pdf/10.11648.j.ijse.20180201.12},
  abstract = {The virtual reality is applied to the study of drivers' visibility in traffic scene, which helps to study design specifications effected by the virtual visual, and to provide basis for decision making to improve the fidelity of virtual scene. Various objective and subjective factors are analyzed which affect driver's visibility during their driving, the visibility evaluation system is built which impacts the virtual traffic legibility, and a virtual traffic scene is built with the use of software 3ds Max. The drivers are invited to do some driving simulation experiments, fill out questionnaires, and then with the help of spss16.0 software for the experimental data analysis, and do some visual changes based on the results of the questionnaire related. The experiment is repeated twice to get the best visual scene; and finally an legibility evaluation model is established based on the improved integrated transport scene. Some comprehensive evaluations are made about three sets of virtual traffic visibility scene which provides a reference basis for the future establishment of a virtual traffic scene. According to the validation on the experimental data of questionnaire and model, the analysis on influencing factors about the virtual traffic scene legibility is resulted: roads and marking, signage, landscaping, pedestrian and bicycle, maps and textures, scale, age, etc., all of which set a greater impact on legibility. The modified experiences on perspective, textures, lighting and shading effects, as well as related models' color, the legibility is improved significantly, but the effect of the interaction between the various factors cannot be ignored. Compared to the original value, the secondary questionnaire is more satisfied. Establishment and optimization of the virtual scene have a very important reference to the visual design of virtual traffic and road transport facilities.},
 year = {2018}
}

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TY  - JOUR
T1  - Legibility Study Based on Virtual Traffic Scene
AU  - Zhang Junyou
AU  - Li Sixian
AU  - Chen Na
Y1  - 2018/07/30
PY  - 2018
N1  - https://doi.org/10.11648/j.ijse.20180201.12
DO  - 10.11648/j.ijse.20180201.12
T2  - International Journal of Systems Engineering
JF  - International Journal of Systems Engineering
JO  - International Journal of Systems Engineering
SP  - 9
EP  - 14
PB  - Science Publishing Group
SN  - 2640-4230
UR  - https://doi.org/10.11648/j.ijse.20180201.12
AB  - The virtual reality is applied to the study of drivers' visibility in traffic scene, which helps to study design specifications effected by the virtual visual, and to provide basis for decision making to improve the fidelity of virtual scene. Various objective and subjective factors are analyzed which affect driver's visibility during their driving, the visibility evaluation system is built which impacts the virtual traffic legibility, and a virtual traffic scene is built with the use of software 3ds Max. The drivers are invited to do some driving simulation experiments, fill out questionnaires, and then with the help of spss16.0 software for the experimental data analysis, and do some visual changes based on the results of the questionnaire related. The experiment is repeated twice to get the best visual scene; and finally an legibility evaluation model is established based on the improved integrated transport scene. Some comprehensive evaluations are made about three sets of virtual traffic visibility scene which provides a reference basis for the future establishment of a virtual traffic scene. According to the validation on the experimental data of questionnaire and model, the analysis on influencing factors about the virtual traffic scene legibility is resulted: roads and marking, signage, landscaping, pedestrian and bicycle, maps and textures, scale, age, etc., all of which set a greater impact on legibility. The modified experiences on perspective, textures, lighting and shading effects, as well as related models' color, the legibility is improved significantly, but the effect of the interaction between the various factors cannot be ignored. Compared to the original value, the secondary questionnaire is more satisfied. Establishment and optimization of the virtual scene have a very important reference to the visual design of virtual traffic and road transport facilities.
VL  - 2
IS  - 1
ER  -

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Author Information

Zhang Junyou

College of Transportation, Shandong University of Science and Technology, Qingdao, China
Li Sixian

College of Transportation, Shandong University of Science and Technology, Qingdao, China
Chen Na

College of Transportation, Shandong University of Science and Technology, Qingdao, China

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Plain Text BibTeX RIS

APA Style

Zhang Junyou, Li Sixian, Chen Na. (2018). Legibility Study Based on Virtual Traffic Scene. International Journal of Systems Engineering, 2(1), 9-14. https://doi.org/10.11648/j.ijse.20180201.12

Copy | Download

ACS Style

Zhang Junyou; Li Sixian; Chen Na. Legibility Study Based on Virtual Traffic Scene. Int. J. Syst. Eng. 2018, 2(1), 9-14. doi: 10.11648/j.ijse.20180201.12

Copy | Download

AMA Style

Zhang Junyou, Li Sixian, Chen Na. Legibility Study Based on Virtual Traffic Scene. Int J Syst Eng. 2018;2(1):9-14. doi: 10.11648/j.ijse.20180201.12

Copy | Download

@article{10.11648/j.ijse.20180201.12,
  author = {Zhang Junyou and Li Sixian and Chen Na},
  title = {Legibility Study Based on Virtual Traffic Scene},
  journal = {International Journal of Systems Engineering},
  volume = {2},
  number = {1},
  pages = {9-14},
  doi = {10.11648/j.ijse.20180201.12},
  url = {https://doi.org/10.11648/j.ijse.20180201.12},
  eprint = {https://article.sciencepublishinggroup.com/pdf/10.11648.j.ijse.20180201.12},
  abstract = {The virtual reality is applied to the study of drivers' visibility in traffic scene, which helps to study design specifications effected by the virtual visual, and to provide basis for decision making to improve the fidelity of virtual scene. Various objective and subjective factors are analyzed which affect driver's visibility during their driving, the visibility evaluation system is built which impacts the virtual traffic legibility, and a virtual traffic scene is built with the use of software 3ds Max. The drivers are invited to do some driving simulation experiments, fill out questionnaires, and then with the help of spss16.0 software for the experimental data analysis, and do some visual changes based on the results of the questionnaire related. The experiment is repeated twice to get the best visual scene; and finally an legibility evaluation model is established based on the improved integrated transport scene. Some comprehensive evaluations are made about three sets of virtual traffic visibility scene which provides a reference basis for the future establishment of a virtual traffic scene. According to the validation on the experimental data of questionnaire and model, the analysis on influencing factors about the virtual traffic scene legibility is resulted: roads and marking, signage, landscaping, pedestrian and bicycle, maps and textures, scale, age, etc., all of which set a greater impact on legibility. The modified experiences on perspective, textures, lighting and shading effects, as well as related models' color, the legibility is improved significantly, but the effect of the interaction between the various factors cannot be ignored. Compared to the original value, the secondary questionnaire is more satisfied. Establishment and optimization of the virtual scene have a very important reference to the visual design of virtual traffic and road transport facilities.},
 year = {2018}
}

Copy | Download

TY  - JOUR
T1  - Legibility Study Based on Virtual Traffic Scene
AU  - Zhang Junyou
AU  - Li Sixian
AU  - Chen Na
Y1  - 2018/07/30
PY  - 2018
N1  - https://doi.org/10.11648/j.ijse.20180201.12
DO  - 10.11648/j.ijse.20180201.12
T2  - International Journal of Systems Engineering
JF  - International Journal of Systems Engineering
JO  - International Journal of Systems Engineering
SP  - 9
EP  - 14
PB  - Science Publishing Group
SN  - 2640-4230
UR  - https://doi.org/10.11648/j.ijse.20180201.12
AB  - The virtual reality is applied to the study of drivers' visibility in traffic scene, which helps to study design specifications effected by the virtual visual, and to provide basis for decision making to improve the fidelity of virtual scene. Various objective and subjective factors are analyzed which affect driver's visibility during their driving, the visibility evaluation system is built which impacts the virtual traffic legibility, and a virtual traffic scene is built with the use of software 3ds Max. The drivers are invited to do some driving simulation experiments, fill out questionnaires, and then with the help of spss16.0 software for the experimental data analysis, and do some visual changes based on the results of the questionnaire related. The experiment is repeated twice to get the best visual scene; and finally an legibility evaluation model is established based on the improved integrated transport scene. Some comprehensive evaluations are made about three sets of virtual traffic visibility scene which provides a reference basis for the future establishment of a virtual traffic scene. According to the validation on the experimental data of questionnaire and model, the analysis on influencing factors about the virtual traffic scene legibility is resulted: roads and marking, signage, landscaping, pedestrian and bicycle, maps and textures, scale, age, etc., all of which set a greater impact on legibility. The modified experiences on perspective, textures, lighting and shading effects, as well as related models' color, the legibility is improved significantly, but the effect of the interaction between the various factors cannot be ignored. Compared to the original value, the secondary questionnaire is more satisfied. Establishment and optimization of the virtual scene have a very important reference to the visual design of virtual traffic and road transport facilities.
VL  - 2
IS  - 1
ER  -

Copy | Download