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%0 Thesis %A Dreier, Christian Georg %T Virtual acoustics: synthesis of traffic sound sources %I Rheinisch-Westfälische Technische Hochschule Aachen %V Dissertation %C Aachen %M RWTH-2025-06710 %P 1 Online-Ressource : Illustrationen %D 2025 %Z Veröffentlicht auf dem Publikationsserver der RWTH Aachen University %Z Dissertation, Rheinisch-Westfälische Technische Hochschule Aachen, 2025 %X Living quality perception in urban environments is closely linked to acoustical factors. With traffic being the most dominating source of environmental noise, current research associates exposure to traffic noise with a variety of negative effects on human health and well-being. However, the description of noise by means of equivalent noise levels, as used in noise mapping, is often not sufficient to completely characterize the human response to noise, since population-reported annoyance ratings are more complex and depend, among other factors, on their psychoacoustical perception too. Beyond the scope of noise mapping, auralization is a suitable technique to assess environmental noise in virtual reality by producing audible sound from numerical or analytical data. The auralization chain consists of physics-based models for sound sources, sound wave propagation and the receiver. The objective of this thesis is to characterize, model and implement road-traffic and air-traffic sound sources, striving to achieve a holistic auditory fit of urban auralizations with the real-world experience. The characterization of moving sound sources is technically challenging, since in addition to the scope of sound source models for noise mapping by means of adequate spectral representation and directivity patterns, sound sources for use in virtual acoustics must also take into account their temporal properties and represent the operating state of a sound source.This dissertation advances measurement, modeling and synthesis techniques of traffic sound sources. It systematically obtains their spatial and spectro-temporal characteristics, introduces methods for signal extraction, and provides algorithmic details for sound synthesis implementation. Additionally, it discusses the calibrated integration and evaluation of these techniques within a real-time auralization framework. %F PUB:(DE-HGF)11 %9 Dissertation / PhD Thesis %R 10.18154/RWTH-2025-06710 %U https://publications.rwth-aachen.de/record/1016056