Abstract
This paper presents a railway noise evaluation system using virtual reality technology. The computation of noise level is performed by the geometric acoustic theory. In order to realize the stereo sound field, we introduced the ambisonics based on thespherical surface function expansion to realize the stereoscopic sound field. In order to consider car composition, we implemented the sound source data which is classified into motor car and non-motor car. The computed results are compared with the measurement data in both real space and virtual reality space. The present system is shown to be a useful tool for planning and designing tool for railway environments.
