Alsina-Pagès Rosa Ma, Hernandez-Jayo Unai, Alías Francesc, Angulo Ignacio
GTM-Grup de recerca en Tecnologies Mèdia, Quatre Camins, 30, Barcelona 08022, Spain.
DeustoTech-Fundación Deusto, Avda. Universidades, 24, Bilbao 48007, Spain.
Sensors (Basel). 2016 Dec 29;17(1):57. doi: 10.3390/s17010057.
One of the main priorities of smart cities is improving the quality of life of their inhabitants. Traffic noise is one of the pollutant sources that causes a negative impact on the quality of life of citizens, which is gaining attention among authorities. The European Commission has promoted the Environmental Noise Directive 2002/49/EC (END) to inform citizens and to prevent the harmful effects of noise exposure. The measure of acoustic levels using noise maps is a strategic issue in the END action plan. Noise maps are typically calculated by computing the average noise during one year and updated every five years. Hence, the implementation of dynamic noise mapping systems could lead to short-term plan actions, besides helping to better understand the evolution of noise levels along time. Recently, some projects have started the monitoring of noise levels in urban areas by means of acoustic sensor networks settled in strategic locations across the city, while others have taken advantage of collaborative citizen sensing mobile applications. In this paper, we describe the design of an acoustic low-cost sensor network installed on public buses to measure the traffic noise in the city in real time. Moreover, the challenges that a ubiquitous bus acoustic measurement system entails are enumerated and discussed. Specifically, the analysis takes into account the feature extraction of the audio signal, the identification and separation of the road traffic noise from urban traffic noise, the hardware platform to measure and process the acoustic signal, the connectivity between the several nodes of the acoustic sensor network to store the data and, finally, the noise maps' generation process. The implementation and evaluation of the proposal in a real-life scenario is left for future work.
智慧城市的主要优先事项之一是提高其居民的生活质量。交通噪音是对市民生活质量产生负面影响的污染源之一,正日益受到当局的关注。欧盟委员会已推动实施《2002/49/EC环境噪音指令》(END),以告知市民并防止噪音暴露的有害影响。使用噪音地图来测量噪音水平是END行动计划中的一个战略问题。噪音地图通常是通过计算一年中的平均噪音来计算的,并且每五年更新一次。因此,动态噪音映射系统的实施除了有助于更好地了解噪音水平随时间的变化外,还可能导致短期的计划行动。最近,一些项目已经开始通过在城市中战略位置设置的声学传感器网络来监测城市地区的噪音水平,而其他项目则利用了公民协作传感移动应用程序。在本文中,我们描述了一种安装在公共汽车上的低成本声学传感器网络的设计,用于实时测量城市中的交通噪音。此外,还列举并讨论了无处不在的公共汽车声学测量系统所带来的挑战。具体而言,分析考虑了音频信号的特征提取、从城市交通噪音中识别和分离道路交通噪音、测量和处理声学信号的硬件平台、声学传感器网络的几个节点之间存储数据的连接性,以及最终噪音地图的生成过程。该提案在实际场景中的实施和评估留待未来工作。