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.
Highlights
The traffic scene based on virtual reality can imitate the real scene realistically, and the parameters in the scene can be modified repeatedly, which greatly saves the project cost, and is helpful to the study of driver dynamic vision [1], as well as modify the parameters of the scene repeatedly
The research on visual recognition is mainly focused on the following aspects: visual search, cognitive load, visual perception behavior and so on
In the research of visual recognition, it is rarely involved in the analysis and weight determination of the various factors in the entire virtual scene, and there are few comprehensive evaluation models used to judge the visual recognition of virtual traffic
Summary
The traffic scene based on virtual reality can imitate the real scene realistically, and the parameters in the scene can be modified repeatedly, which greatly saves the project cost, and is helpful to the study of driver dynamic vision [1], as well as modify the parameters of the scene repeatedly. Through the pilot visual search behavior model of experimental research, Ma Yong studied the font and speed of the driver's visual characteristics and other factors [2]. Many studies on visual recognition are only focused on a single factor such as road markings. They tend to focus on the driver's visual search, cognitive load, visual perception behavior and other aspects. The research on visual recognition is mainly focused on the following aspects: visual search, cognitive load, visual perception behavior and so on. In the research of visual recognition, it is rarely involved in the analysis and weight determination of the various factors in the entire virtual scene, and there are few comprehensive evaluation models used to judge the visual recognition of virtual traffic. Through the experiment, the author obtain the optimal scene and establish a comprehensive traffic visual perception evaluation model to verify the accuracy of the test
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