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A Simulated Environment Experiment on Annoyance Due to Combined Road Traffic and Industrial Noises

机译:道路交通和工业噪声共同引起的烦人的模拟环境实验

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Total annoyance due to combined noises is still difficult to predict adequately. This scientific gap is an obstacle for noise action planning, especially in urban areas where inhabitants are usually exposed to high noise levels from multiple sources. In this context, this work aims to highlight potential to enhance the prediction of total annoyance. The work is based on a simulated environment experiment where participants performed activities in a living room while exposed to combined road traffic and industrial noises. The first objective of the experiment presented in this paper was to gain further understanding of the effects on annoyance of some acoustical factors, non-acoustical factors and potential interactions between the combined noise sources. The second one was to assess total annoyance models constructed from the data collected during the experiment and tested using data gathered in situ. The results obtained in this work highlighted the superiority of perceptual models. In particular, perceptual models with an interaction term seemed to be the best predictors for the two combined noise sources under study, even with high differences in sound pressure level. Thus, these results reinforced the need to focus on perceptual models and to improve the prediction of partial annoyances.
机译:由于合并的噪声导致的总烦恼仍然很难充分预测。这种科学上的差距是制定噪音行动计划的障碍,尤其是在居民通常受到多种来源的高噪音影响的城市地区。在这种情况下,这项工作旨在突出潜力,以增强对总烦恼的预测。这项工作基于一个模拟环境实验,参与者在客厅里进行活动,同时受到道路交通和工业噪音的共同作用。本文提出的实验的第一个目的是进一步了解某些声学因素,非声学因素以及组合噪声源之间的潜在相互作用对烦恼的影响。第二个是评估由实验期间收集的数据构建的总烦恼模型,并使用就地收集的数据进行测试。在这项工作中获得的结果突出了感知模型的优越性。特别是,即使存在声压级的巨大差异,带有相互作用项的感知模型似乎也是研究的两种组合噪声源的最佳预测指标。因此,这些结果加强了对关注感知模型和改善局部烦恼预测的需求。

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