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Dynamic estimation of urban traffic noise: Influence of traffic and noise source representations

机译：城市交通噪声的动态估计：交通和噪声源表示的影响

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摘要

The need for traffic noise prediction models that take traffic dynamics into account has been recently shown for urban areas. Such models couple a dynamic representation of traffic with noise emission laws. The contribution of the paper is to test different traffic and noise source representations for L_(Aeq) and statistical levels estimation. Tests on four scenarios that reflect urban traffic conditions are carried on. They show that an individualized representation of vehicles with a macroscopic behavior rule is sufficient for noise descriptors estimation. Noise sources have to be aggregated on cells to reduce the calculation time of noise emission propagation. To this end a grid of line source representation appears to be more relevant than a grid of point source representation. Furthermore, large cells do not affect substantially the noise descriptors estimation.
机译：最近已经显示出城市地区需要考虑交通动态的交通噪声预测模型。这样的模型将交通的动态表示与噪声排放定律相结合。本文的贡献在于测试L_（Aeq）和统计级别估计的不同流量和噪声源表示。对反映城市交通状况的四种情景进行了测试。他们表明，具有宏观行为规则的车辆的个性化表示足以估计噪声描述符。噪声源必须聚集在单元上，以减少噪声发射传播的计算时间。为此，线源表示的网格似乎比点源表示的网格更相关。此外，大小区基本上不影响噪声描述符估计。

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