Contribution
Efficient modeling of urban traffic scenarios for Virtual Reality
* Presenting author
Abstract:
Built environments that are subject to road traffic noise are acoustically highly complex and dynamic. The characteristics of sound sources, i.e. the vehicles, vary and the propagation of sound, such as from moving vehicles to a listener, is influenced by its surroundings. In order to study human responses to traffic noise and the influence of urban design, it has been proposed to build digital representations of urban environments in Virtual Reality. In this talk, we present a workflow to efficiently incorporate plausible traffic flow into the auralization of urban environments. This comprises high-resolution vehicle trajectory data at the basis of area maps and information about the vehicle type which is used to synthesize complex traffic scenarios.