Developing a Traffic Noise Prediction Model For Jordanian Conditions

نویسنده

  • Khair S. Jadaan
چکیده

The growth in magnitude and various impacts of traffic noise has created an increasing attention on the prediction and control of noise levels. This study aims at developing a noise level prediction model under the local conditions of Amman, the capital of Jordan. Thirty four sites, representing different characteristics, were selected for use in model development. The resulting prediction model incorporated variables describing traffic and site conditions including traffic volume, composition and speed, gradient, and distance from the source as affecting factors, the trial model expresses noise level by the index L10 (1hr). The developed model was validated by comparing its predicted noise levels with those measured. Further evaluation of the model was carried out by comparing its predictions with those obtained using the British Calculation of Road Traffic Noise (CRTN) model. The developed model was found to produce more accurate results, under Jordanian traffic conditions, than the CRTN model with an average error of only 3.2%.

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تاریخ انتشار 2016