Study on Issues of Visual and Other Reproducibility in Virtual Traffic Experimental Environment under Normal and Abnormal Conditions

Abstract

A virtual environment for traffic experiments that reproduces various conditions on drivers, self/other vehicles, and infrastructures, is useful for evaluating technologies and measures. In this report, its techniques and quality of reproducing the real environment are summarized from diversified and systematic viewpoints, including vehicle dynamics, traffic engineering, and visual environment. Methods and technical issues in enhancing the reproducibility are also discussed, especially on visual environment under normal and abnormal conditions such as dark scene, bad weather, etc.