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Auralization is a promising approach for future application in urban planning including noise aspects. From a technical point of view, auralization of the urban environment is challenging due to the high number of sound sources, time-variant and inhomogeneous atmospheric conditions and the large scale of scenarios. This work presents the modeling and computationally efficient implementation of traffic sound sources and its integration to a complex urban scenario with real-time auralization. Furthermore, it presents results from a perceptual study whose immersion is enhanced by presenting a coupled visualization of the scene to the participants by using a head-mounted display. Whereas the experiment on the one hand comprises virtual reality-related aspects considering the assessment of immersion and plausibility of the scenario, on the other hand it covers the assessment of individual noise events in the urban soundscape. The experiment focuses on acoustically prominent noise events, such as particularly loud and harsh sources, or resulting from specific driving behavior. The results are discussed in the foreground for further improvements for audio-visual simulations of the urban environment.
Dreier et al. (Fri,) studied this question.