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Accuracy of the Dynamic Acoustic Map in a Large City Generated by Fixed Monitoring Units

机译:固定监视单元生成的大城市中动态声学地图的准确性

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摘要

DYNAMAP, a European Life project, aims at giving a real image of the noise generated by vehicular traffic in urban areas developing a dynamic acoustic map based on a limited number of low-cost permanent noise monitoring stations. The system has been implemented in two pilot areas located in the agglomeration of Milan (Italy) and along the Motorway A90 (Rome-Italy). The paper reports the final assessment of the system installed in the pilot area of Milan. Traffic noise data collected by the monitoring stations, each one representative of a number of roads (groups) sharing similar characteristics (e.g., daily traffic flow), are used to build-up a “real-time” noise map. In particular, we focused on the results of the testing campaign (21 sites distributed over the pilot area and 24 h duration of each recording). It allowed evaluating the accuracy and reliability of the system by comparing the predicted noise level of DYNAMAP with field measurements in randomly selected sites. To this end, a statistical analysis has been implemented to determine the error associated with such prediction, and to optimize the system by developing a correction procedure aimed at keeping the error below some acceptable threshold. The steps and the results of this procedure are given in detail. It is shown that it is possible to describe a complex road network on the basis of a statistical approach, complemented by empirical data, within a threshold of 3 dB provided that the traffic flow model achieves a comparable accuracy within each single groups of roads in the network.
机译:DYNAMAP(欧洲生活项目)旨在提供真实的城市车辆交通产生的噪声图像,并基于有限数量的低成本永久噪声监测站开发动态声图。该系统已在位于米兰(意大利)和A90高速公路(意大利)之间的两个试点地区实施。该文件报告了在米兰试验区安装的系统的最终评估。由监测站收集的交通噪声数据用于建立“实时”噪声图,该监测数据代表具有相似特征(例如,日常交通流量)的许多道路(组)。特别是,我们专注于测试活动的结果(在试验区域分布了21个站点,每次记录持续24小时)。通过将DYNAMAP的预测噪声水平与随机选择站点的现场测量值进行比较,可以评估系统的准确性和可靠性。为此,已经进行了统计分析以确定与这种预测相关的误差,并通过开发旨在将误差保持在某个可接受的阈值以下的校正程序来优化系统。详细介绍了此过程的步骤和结果。结果表明,有可能在统计方法的基础上,以经验数据为补充,在3 dB的阈值内描述一个复杂的道路网络,前提是交通流模型在道路上的每条道路组内都具有可比的精度。网络。

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