Legibility Study Based on Virtual Traffic Scene

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.