An Experimental-base Traffic Noise Evaluation System Using Visualization and Auralization Technology

Abstract

This paper presents an experimental-base traffic noise evaluation system using virtual reality technology. The system exposes to the users the computed noise level with both the auditory information using sound source signal and the visual information using CG image. The computation of noise level is performed by the geometric acoustic theory based on ASJ-RTN Model 2013. In order to realize the stereo sound field, we introduced the ambisonics based on the spherical surface function expansion to realize the stereoscopic sound field. The present system is shown to be a useful tool for planning and designing tool for various constructions works in an urban area, and also for consensus building for designers and the local residents.