Innovative Approaches for Noise Management in Smart Cities: a Review

Asdrubali, Francesco; D’Alessandro, Francesco

doi:10.1007/s40726-018-0090-z

Cited by 39 publications

(15 citation statements)

References 50 publications

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“…Last but not least, although the scope of this paper was laid out, there is an increasing trend to enroll citizens in the noise monitoring field. e reader is referred to [26] for a complete review of smartphone applications for crowd-sourced noise measurements.…”

Section: Discussionmentioning

confidence: 99%

“…Nevertheless, recent technological advances, mainly thanks to the development of the Internet of ings (IoT) framework, have allowed these drawbacks to be addressed through the deployment of wireless acoustic sensor networks (WASNs) [24,25]. is development has been made possible by the availability of cheaper and smaller IoT hardware and innovations in communication networks [22,26] and in acoustic signal processing [25,27], mainly used to identify the noise source. For instance, WASNs can enable the automatic generation of dynamic noise maps in urban areas pervasively based on controlled measurements, while also lowering the cost of noise mapping by 50% in comparison to the corresponding expert-based update of static noise maps every five years [28].…”

Section: Introductionmentioning

confidence: 99%

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Review of Wireless Acoustic Sensor Networks for Environmental Noise Monitoring in Smart Cities

Álías

Alsina-Pagès

2019

Journal of Sensors

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Nowadays, more than half of the world’s population lives in urban areas. Since this proportion is expected to keep rising, the sustainable development of cities is of paramount importance to guarantee the quality of life of their inhabitants. Environmental noise is one of the main concerns that has to be addressed, due to its negative impact on the health of people. Different national and international noise directives and legislations have been defined during the past decades, which local authorities must comply with involving noise mapping, action plans, policing, and public awareness, among others. To this aim, a recent change in the paradigm for environmental noise monitoring has been driven by the rise of Internet of Things technology within smart cities through the design and development of wireless acoustic sensor networks (WASNs). This work reviews the most relevant WASN-based approaches developed to date focused on environmental noise monitoring. The proposals have moved from networks composed of high-accuracy commercial devices to the those integrated by ad hoc low-cost acoustic sensors, sometimes designed as hybrid networks with low and high computational capacity nodes. After describing the main characteristics of recent WASN-based projects, the paper also discusses several open challenges, such as the development of acoustic signal processing techniques to identify noise events, to allow the reliable and pervasive deployment of WASNs in urban areas together with some potential future applications.

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Section: Discussionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Review of Wireless Acoustic Sensor Networks for Environmental Noise Monitoring in Smart Cities

Álías

Alsina-Pagès

2019

Journal of Sensors

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“…The growth of smartphone applications for sound measurement and their improvements is so rapid that it is impossible, and useless, to list all those available on the web. An updated review and a comparison of a selection of them is reported in [39][40][41]. Moreover, an extensive survey [42] shows evidence that there is still much heterogeneity in terms of technologies applied and deployment approaches, although modular designs at both client and server elements seem to be dominant.…”

Section: Smartphone-based Sound Measurementmentioning

confidence: 99%

“…Such devices can be spatially distributed and connected in a network to allow the realization of dynamic noise mapping, which is an automatic, frequent update of large-scale noise maps [59]. An extensive review of this approach based on wireless acoustic sensor networks is described in [39,60]. However, these maps, even if useful to inform citizens on a noise pollution situation, do not provide any information on the relevant harmful health effects, such as annoyance or sleep interference [61,62], which in actual urban areas have reached large impacts, as also shown by the noise levels reduction observed during the recent lockdown restrictions due to the COVID-19 outbreak [63].…”

Section: Smartphone-based Noise Mappingmentioning

confidence: 99%

Smartphone-Based Participatory Soundscape Mapping for a More Sustainable Acoustic Environment

Brambilla

Pedrielli

2020

Sustainability

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The urban environmental planning, a fundamental dynamic process for cities’ sustainability, could benefit from the soundscape approach, dealing with the perception of the acoustic environment in which sound is considered as a resource rather than a waste (noise). Noise and soundscape maps are useful tools for planning mitigation actions and for communication with citizens. Both mappings can benefit from crowdsourcing and participatory sound monitoring that has been made possible due to the large use of internet connections and mobile devices with dedicated apps. This paper is a “scoping review” to provide an overview of the potential, benefits, and drawbacks of participatory noise monitoring in noise and soundscape mapping applications, while also referring to metrological aspects. Gathering perceptual data on soundscapes by using digital questionnaires will likely be more commonly used than printed questionnaires; thus, the main differences between the experimental protocols concern the measurement of acoustic data. The authors propose to classify experimental protocols for in-field soundscape surveys into three types (GUIDE, MONITOR, and SMART) to be selected according to the survey’s objectives and the territorial extension. The main future developments are expected to be related to progress in smartphone hardware and software, to the growth of social networks data analysis, as well as to the implementation of machine learning techniques.

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“…show the extent of the noise problem in cities (Licitra et al, 2017;Engel et al, 2018;Asdrubali & D'Alessandro, 2018;Morillas et al, 2018).…”

Section: Introductionmentioning

confidence: 99%

Evaluation of Noise in the Vicinity of a Hospital and a Gated Community

Zannin¹,

Milanês²,

Filho³

2019

CUS

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An evaluation was made of the acoustic environment of the Green Line North (GLN) by noise mapping calculations. In addition, the equivalent sound pressure levels, L eq , that reach the facades of a residential building and a hospital located along the GLN, were simulated to determine the noise levels to which they are subjected. The simulated noise levels were compared with the maximum allowable noise levels established by Curitiba Municipal Law and by the Brazilian standard on Noise Assessment in Populated Areas. It was concluded unequivocally that, in the current situation, noise pollution affects the hospital and the gated community. A simulation of heavy vehicle traffic reduction was performed, aiming at evaluating the impact of this mitigation measure. Even the reduction of number of heavy vehicle to 10% of the original number proved to be insufficient to attend values established by the municipal law and the Brazilian standard.

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Innovative Approaches for Noise Management in Smart Cities: a Review

Cited by 39 publications

References 50 publications

Review of Wireless Acoustic Sensor Networks for Environmental Noise Monitoring in Smart Cities

Review of Wireless Acoustic Sensor Networks for Environmental Noise Monitoring in Smart Cities

Smartphone-Based Participatory Soundscape Mapping for a More Sustainable Acoustic Environment

Evaluation of Noise in the Vicinity of a Hospital and a Gated Community

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