Proposed Urban Air Mobility (UAM) operations offer an alternative to road and rail traffic for local and regional movement of people and goods. To allow for large-scale adoption of UAM vertical takeoff and landing (VTOL) aircraft, it is critical to predict human annoyance response to the acoustic noise generated by these vehicles. We propose a model that predicts an individual’s perceived level of annoyance when presented with UAM VTOL aircraft noise in the context of a representative masking noise. The annoyance model is based on the psychoacoustic annoyance model of Fastl and Zwicker (Zwicker and Fastl, 1999), with an additional tonality term based on subjective testing of UAM sound quality (Boucher, et al., 2023). The model also predicts changes in annoyance when UAM noise is masked by a background sound, based on subjective evaluation of detection, noticeability, and annoyance of noise in the presence of a masker.


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    Titel :

    Annoyance Model for Urban Air Mobility Vehicle Noise in the Presence of a Masker


    Beteiligte:
    T. Tracy (Autor:in) / M. Boucher (Autor:in) / A. Christian (Autor:in) / S. Krishnamurthy (Autor:in) / S. Rizzi (Autor:in) / D. Begault (Autor:in) / K. Shepherd (Autor:in)

    Erscheinungsdatum :

    2024


    Format / Umfang :

    14 pages


    Medientyp :

    Report


    Format :

    Keine Angabe


    Sprache :

    Englisch




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