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Noise Fundamental Diagram deduced by Traffic Dynamics

机译:交通动态推断的噪声基础图

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摘要

Road traffic noise is a relevant issue in environmental impact studies. Many models have been developed to predict vehicles behaviour on one side, and noise produced by traffic on the other side. In this paper the authors propose the integration between statistical Traffic Noise predictive Models (TNMs) and traffic flow dynamics models. In particular, the starting point is a parametric formula that relates the hourly equivalent level to vehicle flow and speed. Thus, the speed-flow-density relationship is obtained with a "car-following" model approach and integrated in the noise prediction formula. The final result of this procedure is the dependence of the equivalent level from vehicle density and speed, in three different dynamics postulates assumed in the "car-following" model theory. This is the first step to the postulation of the Traffic Noise Fundamental Diagram, in analogy to the Fundamental Diagram, i.e. the set of graphs that exploits the speed-flow-density relationship.
机译:道路交通噪声是环境影响研究中的相关问题。已经开发了许多模型来预测一侧的车辆行为,以及另一侧交通产生的噪音。本文提出了统计业务噪声预测模型(TNMS)和交通流量动力学模型之间的集成。特别地,起始点是参数公式,其将每小时等效水平与车辆流量和速度相关。因此,通过“汽车之后”模型方法获得速度流密关系,并集成在噪声预测公式中。该程序的最终结果是在“汽车跟随”模型理论中假设的三种不同动态假设的三种不同动力学中的等效水平的依赖性。这是攻击交通噪声基础图的第一步,类似于基本图,即利用速度流密关系的图表集。

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