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Annoyance

About: Annoyance is a research topic. Over the lifetime, 2015 publications have been published within this topic receiving 38300 citations. The topic is also known as: annoy.


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01 Jan 2011
TL;DR: In this article, an interactive Sound Synthesis Machine (SSM) was developed to improve the sound quality of a single aircraft fly-over, where subjects will be able to create their own preferred sounds for different aircraft using this tool.
Abstract: COSMA will help to improve the understanding of the effects of aircraft noise near airports, to develop engineering guidelines, methods implementing suitable design, operating practices aimed to minimise the noise annoyance, supported by a set of validated tools. An extensive literature study about annoyance around airports since 1980 was performed. A list of moderator variables that are affecting the annoyance around airports was established on the basis of this study. The power plant and aircraft definition was given, which is important for the further work in the technical work packages. Telephone and field studies are preparing part for the central annoyance studies in the project. More than 1.200 telephone interviews were performed to map the status quo of the current aircraft noise annoyance situation around 3 European airports. The field study will provide more detailed information about the current noise annoyance. An interactive Sound Synthesis Machine (SSM) was developed to improve the sound quality of a single aircraft fly-over. Subjects will be able to create their own preferred sounds for different aircraft using this tool. It consists of an on-line Sound Machine (SM) for interactive sound quality analysis and the Airport Noise Climate Synthesizer (ANCS), producing event sequences in real airport scenarios. Significant work was also carried out to improve source component and noise propagation models that are implemented in the ANCS tool. Further work was performed for developing an intelligent Data Reduction and Transformation (iDRT) module. Based on this reduced data a so-called “virtual listener” regression model was developed, predicting the annoyance. For long-term descriptors, a preliminary version of a neural network was developed. Finally, five different airport scenarios for investigation were defined, also the criteria for their optimisation. An interactive tool, to generate a sequence easily and of arbitrary length from the available data base, was written and is already available.

7 citations

Proceedings ArticleDOI
08 Jan 2018
TL;DR: The main goal of the research is optimizing the noise annoyance of (novel) aircraft along tailored flight paths with respect to their evoked aircraft noise annoyance.
Abstract: Noise from civil air traffic affects millions of people worldwide. Aircraft noise management should be addressed by different principal elements, such as noise reduction at the source and noise abatement operational procedures. To date, usually conventional noise metrics are applied towards the acoustical optimization while noise effects are usually only indirectly accounted for. The objective of this contribution is the optimization of conventional and novel aircraft concepts with respect to their evoked aircraft noise annoyance. The optimization will be based on the perceived sound and the associated annoyance. To do so, virtual aircraft flyovers are auralized based on noise level predictions, i.e. they are artificially made audible. The auralization is accomplished by parametric sound synthe- sis and a 3D spatial audio technique. Short-term noise annoyance is measured through controlled listening experiments in which participants rate the level of annoyance for each auralized flyover. The aircraft design and the flight path are evaluated according to the associated annoyance. The subsequent ranking can be compared to a conventional ranking based on standard noise metrics. The results of such a study will help to identify parameters describing aircraft and flight path parameters that have an impact on noise annoyance. Consequently, these parameters can then be selected for further optimization to reach even lower levels of noise annoyance and not simply reduce standard noise metrics. Ultimately, the main goal of the research is optimizing the noise annoyance of (novel) aircraft along tailored flight paths. This contribution documents the status quo of the joint DLR and Empa activities, i.e., the structure of a pilot study. First results that were obtained while developing the methodology and the test cases within the pilot study are presented.

7 citations

01 Mar 1992
TL;DR: In this paper, a laboratory experiment was conducted to quantify the annoyance response of people on the ground to en route noise generated by aircraft at cruise conditions, where the en route noises were ground-level recordings of eight advanced turboprop aircraft flyovers and six conventional turbofan flyovers.
Abstract: A laboratory experiment was conducted to quantify the annoyance response of people on the ground to en route noise generated by aircraft at cruise conditions. The en route noises were ground-level recordings of eight advanced turboprop aircraft flyovers and six conventional turbofan flyovers. The eight advanced turboprop en route noises represented the NASA Propfan Test Assessment aircraft operating at different combinations of altitude, aircraft Mach number, and propeller tip speed. The conventional turbofan en route noises represented six different commercial airliners. The overall durations of the en route noises varied from approximatelybreak 40 to 160 sec. In the experiment, 32 subjects judged the annoyance of the en route noises as well as recordings of both the takeoff and landing noises of each of 5 conventional turboprop and 5 conventional turbofan aircraft. Each of the noises was presented at three sound pressure levels to the subjects in an anechoic listening room. Analyses of the judgments found small differences in annoyance between three combinations of aircraft type and operation. Current tone and duration corrections did not significantly improve en route noise annoyance prediction. The optimum duration-correction magnitude for en route noise was approximately 1 dB per doubling of effective duration.

7 citations

Journal ArticleDOI
TL;DR: There is a significant relationship between annoyance and cortisol secretion level after noise exposure, and salivary cortisol levels were not significantly related to the annoyance level at the beginning of the shift, but to the level of noise annoyance at the end of the work shift.

7 citations


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Performance
Metrics
No. of papers in the topic in previous years
YearPapers
2023187
2022275
202166
202055
201968
201890