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A mathematical model for traffic noise prediction in an urban area

机译：市区交通噪声预测的数学模型

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The increasing sensitivity to environmental issues leads researchers to study and formulate appropriate models to analyze the correlations between environment-infrastructure-man. In this area of research attention has been paid to issues related to noise pollution, how is attested to by the vast amount of literature on the subject. In particular, the traffic noise of motor vehicles, as main source in urban areas, makes up part of general environment problem which inflicts serious damage to the health of human beings and lowers their labor productivity. Due the increasing number of vehicles circulating in the big cities, the noise pollution becomes a problem because of the constant traffic on the roads makes some places reach the highest level of noise. Therefore, the control of traffic noise has become a matter of major concern for communities trying to maintain a satisfactory environment in which to live and work. To ensure a high quality environment, methods for prediction the urban traffic noise are necessary tools. In order to modeling traffic noise and selecting corresponding noise control measures it is necessary to know functional relationships between noise emission and certain numbers of traffic parameters. The purpose of this article is to study the situation in Cosenza (Italy) and develop a model to predict the noise based on the data collected. The result of this research will contribute to the analyze the traffic noise in urban center as well to develop a tool to help on treatments of this urban issue, allowing future decisions to reduce the noise pollution.
机译：对环境问题日益敏感的研究人员促使研究人员研究并制定适当的模型来分析环境基础设施人与人之间的关系。在这一研究领域中，注意力已经集中在与噪声污染有关的问题上，有关该问题的大量文献证明了这一点。特别地，作为城市地区主要来源的机动车的交通噪声构成了一般环境问题的一部分，该问题严重损害了人类的健康并降低了他们的劳动生产率。由于在大城市中行驶的车辆数量越来越多，因此噪声污染成为一个问题，因为道路上不断的交通使一些地方达到最高的噪声水平。因此，对于试图维持令人满意的生活和工作环境的社区来说，交通噪声的控制已成为主要关注的问题。为了确保高质量的环境，预测城市交通噪声的方法是必要的工具。为了对交通噪声建模并选择相应的噪声控制措施，有必要了解噪声排放与一定数量的交通参数之间的功能关系。本文的目的是研究科森扎（意大利）的局势，并开发一种基于收集到的数据预测噪声的模型。这项研究的结果将有助于分析城市中心的交通噪声，并开发出一种工具来帮助处理该城市问题，从而使未来的决策减少噪声污染。

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