Physically-Based Auralization of Railway Rolling Noise
* Presenting author
Railway noise contribute significantly to noise pollution both outside and within cities. In recent years, prediction models have been developed to study exposure levels and evaluate abatement solutions. Going one step further, auralization may provide an effective mean for evaluating perceptually the influence of railway noise to the soundscape near existing or future infrastructures. This paper extends railway noise emission models to propose an auralization approach based on physical parameters. As a first step, the approach focuses on rolling noise radiated by the track and wheels, which represents the dominant noise source over a wide range of speed. The excitation of the wheel/rail system by surface roughness is modeled in the time domain. The rail contribution is synthesized using a set of discrete coherent monopoles, preserving the characteristics of the emitted sound field. The contribution of the wheel uses resonant filters based on its structural response. Finally, the contribution of track sleepers is included following the standard TWINS model. Preliminary validations of the approach compare sound levels with existing models as well as measured data. Results from listening tests evaluating the realism of auralized pass-by noise samples are also presented.