Traffic noise is the world's most prevalent forms of environmental noise that negatively affects human health. Such noise depends on many factors, such as traffic volume and classification, type of pavement surface, tire types, and metrological conditions. These factors vary from one location to another; thus, there is a need to develop or at least verify a traffic noise model to better suit local conditions. This paper presents initial results for developing two traffic noise models for Sharjah City, United Arab Emirates. To develop and test these models, a total of 81 hourly measurements were collected for the following parameters: sound pressure level, traffic volume, and average speed. The initial results are statistically very promising; nevertheless, more data need to be collected from the field to enhance the applicability of these locally-calibrated traffic noise models. To the best of our knowledge, the presented work is the first of its kind in UAE.
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