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@PHDTHESIS{Dreier:1016056,
      author       = {Dreier, Christian Georg},
      othercontributors = {Vorländer, Michael and Urban, Peter},
      title        = {{V}irtual acoustics: synthesis of traffic sound sources},
      school       = {Rheinisch-Westfälische Technische Hochschule Aachen},
      type         = {Dissertation},
      address      = {Aachen},
      publisher    = {RWTH Aachen University},
      reportid     = {RWTH-2025-06710},
      pages        = {1 Online-Ressource : Illustrationen},
      year         = {2025},
      note         = {Veröffentlicht auf dem Publikationsserver der RWTH Aachen
                      University; Dissertation, Rheinisch-Westfälische Technische
                      Hochschule Aachen, 2025},
      abstract     = {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.},
      cin          = {613510},
      ddc          = {621.3},
      cid          = {$I:(DE-82)613510_20140620$},
      typ          = {PUB:(DE-HGF)11},
      doi          = {10.18154/RWTH-2025-06710},
      url          = {https://publications.rwth-aachen.de/record/1016056},
}