A modified 3D algorithm for road traffic noise attenuation calculations in large urban areas

Area of Science:

• Acoustics
• Urban Planning
• Environmental Engineering

Background:

• Traditional noise models struggle with complex urban environments, particularly building occlusion and varying heights.
• Accurate noise prediction is crucial for urban planning and mitigating traffic noise pollution.

Purpose of the Study:

• To develop and apply a novel 3D road traffic noise attenuation calculation algorithm.
• To improve the accuracy and efficiency of noise prediction in complex urban settings.

Main Methods:

• The algorithm incorporates building volume and projection ratios, ground effects, and barrier insertion loss.
• It analyzes road segmentation impacts, recommending a 5° scanning angle for optimal balance between computation time and accuracy.
• Comparison with beam tracking method shows significant time savings (1/17th).

Main Results:

• The 3D algorithm effectively calculates noise attenuation in areas with high building density.
• A 5° scanning angle was identified as optimal, yielding an average error of approximately 3.1 dB.
• The developed algorithm demonstrates computational efficiency compared to existing methods.

Conclusions:

• The 3D road traffic noise attenuation algorithm is feasible for large-scale urban noise simulations.
• The algorithm provides a practical tool for urban planning and environmental noise management.
• Further application in projects requiring extensive area noise simulations is recommended.