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Maximum pass-by noise levels from vehicles in real road traffic streams: comparison to modeled levels and measurement protocol issues

机译:实际道路交通流中车辆的最大通过噪声水平:与建模水平和测量协议问题的比较

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The noise signal from an individual vehicle or succession/platoon of vehicles within a road traffic stream is highly variable and in reality identifying a representative sample of the population of the noise level maxima of vehicle pass-by for the range of real road traffic noise conditions (combinations of vehicle speed, vehicle type, road surfaces, propagation path) is an expensive and time-consuming measurement task. This paper reports on a secondary analysis of a large sample of maximum pass-by noise data that was collected in Brisbane, Australia. The data set provides the noise level maxima (L_(Afmax)) of the pass-by of some 85,000 vehicles in service on urban arterials and motorways. Concurrent attended monitoring of vehicle type has allowed an analysis of the distribution of the noise level maxima according to some road characteristics and for the range of the different types of vehicle. There have often been suggestions that road traffic noise criteria should include, in addition to integrated energy measures such as L_(eq), L_(den) or similar, some metric of the individual noise events (L_(Afmax), SEL) or number of noise events, generated by individual noisier vehicles within the traffic stream. Apart from selecting such a metric in terms of its relationship to health impacts, such as sleep disturbance, that metric needs to be able to be measured reliably, and preferably able to be predicted. The aforementioned monitoring program identified that, whereas field measurement of descriptors such as Leq have a well-established protocol, there is no similar protocol for the in-situ measurement of noise events. This paper enumerates the issues relevant to the measurement of noise events in road traffic streams.
机译:来自道路交通流中的单个车辆或车辆连续/排的噪声信号是高度可变的,并且实际上在实际道路交通噪声条件范围内,确定了车辆通过路噪声最大值的总体的代表性样本(车辆速度,车辆类型,路面,传播路径的组合)是一项昂贵且耗时的测量任务。本文报告了对在澳大利亚布里斯班收集的最大最大通过噪声数据样本的二次分析。该数据集提供了在城市干线和高速公路上行驶的约85,000辆车辆通过时的通过噪声最大值(L_(Afmax))。车辆类型的并发有人值班监视已允许根据某些道路特征和不同类型车辆的范围来分析最大噪声水平的分布。经常有人建议,道路交通噪声标准除了包括诸如L_(eq),L_(den)或类似能量之类的综合能源措施外,还应包括一些个别噪声事件的度量(L_(Afmax),SEL)或数量。交通流中各个嘈杂车辆产生的噪声事件的数量。除了根据其与诸如睡眠干扰之类的健康影响的关系来选择这种度量之外,该度量还需要能够被可靠地测量,并且优选地能够被预测。前述监视程序确定,尽管描述符(例如Leq)的现场测量具有完善的协议,但是对于噪声事件的原位测量没有类似的协议。本文列举了与测量道路交通流中的噪声事件有关的问题。

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