Investigating Traffic Noise Levels Using FWHA Traffic Prediction Model In the Streets of Quezon

Cherry Amor Ailes del Barrio, Florencio Romario Ty Sebastian III, Mark Abraham Sangueza Goduco, Luis Maria Tiansay Bo-ot


The potential of the Traffic Noise Model version 2.5 (TFNv2.5) in simulating and predicting traffic noise pollution levels on major streets of Quezon City is explored. The TFNv2.5, supported by a scientifically founded and experimentally calibrated acoustic computation methodology, was applied to three (3) sites within Quezon City, chosen due to their key locations and different urban environments, namely: educational, hospital and residential. To identify the traffic noise impact, traffic volume count at these selected sites of the city were obtained from pertinent government data and the results are compared against World Health Organization standards. The study further explores mitigation of unacceptable noise level results through the incorporation of reasonable and feasible measures available in the same software, such as attenuation over/through rows of buildings or dense vegetation, or noise barrier design vis-à-vis realistic possibilities in each case study’s unique context.

Keywords: Traffic, Noise, Prediction, Software, FHWA, Quezon City

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