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Legibility Study Based on Virtual Traffic Scene

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
[1] ZHONG X, GAO Y. Key Techniques of Virtual System Based on VR [J]. Computer Simulation, 2008, 25: 111-115.
[2] MA Y. Study on Drivers’ Visual Search Pattern Based on Analysis of Eye Movements. Chang an University. 2006.
[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.
[11] ZHENG J. Visual Simulation in Virtual Reality System [J]. Microcomputer Development, 2003, 13 (9):19-20.
[12] YUAN ZF, YUN HY. Experimental design and analysis. China Agricultural Press [M]. 2007.
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Cite This Article
  • 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
  • College of Transportation, Shandong University of Science and Technology, Qingdao, China

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

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

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