Smart city: A system for measuring noise pollution

This paper deals with the development of Smart city services, with the focus on IoT services for measuring the noise pollution. Decreasing noise in the human environment can contribute to increasing the satisfaction of life in the big cities and urban areas where traffic jams are almost inevitable....

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Main Authors: Ivan JEZDOVIĆ, Nevena NEDELJKOVIĆ, Lazar ŽIVOJINOVIĆ, Božidar RADENKOVIĆ, Aleksandra LABUS
Format: Article
Language:English
Published: Pro Universitaria 2018-03-01
Series:Smart Cities and Regional Development Journal
Subjects:
Online Access:https://scrd.eu/index.php/scrd/article/view/30
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author Ivan JEZDOVIĆ
Nevena NEDELJKOVIĆ
Lazar ŽIVOJINOVIĆ
Božidar RADENKOVIĆ
Aleksandra LABUS
author_facet Ivan JEZDOVIĆ
Nevena NEDELJKOVIĆ
Lazar ŽIVOJINOVIĆ
Božidar RADENKOVIĆ
Aleksandra LABUS
author_sort Ivan JEZDOVIĆ
collection DOAJ
description This paper deals with the development of Smart city services, with the focus on IoT services for measuring the noise pollution. Decreasing noise in the human environment can contribute to increasing the satisfaction of life in the big cities and urban areas where traffic jams are almost inevitable. The aim of this paper is to increase traffic noise awareness and to influence noise reduction through collecting and analyzing the environment data. We have designed, implemented and tested a system for measuring noise pollution, based on Internet of things, web and big data technologies. The system measures and analyses noise level and sends data to the server, where they are further stored, merged and prepared for visualization. As a support to the system, a web and mobile application have been developed. Mobile application enables us to collect large amounts of data from different parts of the city in a quick and efficient. Collection of data can be done by any citizen who has an Android device with installed application. The collected data are stored in the MongoDB. After analyzing data from different parts of the city, we have the ability to create noise maps that indicate the magnitude of the noise pollution for those city blocks. The analyzed data are compared with the legally defined norms and if the norms are not met, the competent authorities are alerted to solve the noise pollution problem.
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issn 2537-3803
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publishDate 2018-03-01
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series Smart Cities and Regional Development Journal
spelling doaj-art-f1ae5cdf9eb54c7e96862eae19b1acdf2025-08-20T03:20:46ZengPro UniversitariaSmart Cities and Regional Development Journal2537-38032018-03-012110.25019/scrd.v2i1.30Smart city: A system for measuring noise pollutionIvan JEZDOVIĆ0Nevena NEDELJKOVIĆ1Lazar ŽIVOJINOVIĆ2Božidar RADENKOVIĆ3Aleksandra LABUS4Faculty of Organizational Sciences, University of Belgrade, Belgrade, SerbiaFaculty of Organizational Sciences, University of Belgrade, Belgrade, SerbiaFaculty of Organizational Sciences, University of Belgrade, Belgrade, SerbiaFaculty of Organizational Sciences, University of Belgrade, Belgrade, SerbiaFaculty of Organizational Sciences, University of Belgrade, Belgrade, Serbia This paper deals with the development of Smart city services, with the focus on IoT services for measuring the noise pollution. Decreasing noise in the human environment can contribute to increasing the satisfaction of life in the big cities and urban areas where traffic jams are almost inevitable. The aim of this paper is to increase traffic noise awareness and to influence noise reduction through collecting and analyzing the environment data. We have designed, implemented and tested a system for measuring noise pollution, based on Internet of things, web and big data technologies. The system measures and analyses noise level and sends data to the server, where they are further stored, merged and prepared for visualization. As a support to the system, a web and mobile application have been developed. Mobile application enables us to collect large amounts of data from different parts of the city in a quick and efficient. Collection of data can be done by any citizen who has an Android device with installed application. The collected data are stored in the MongoDB. After analyzing data from different parts of the city, we have the ability to create noise maps that indicate the magnitude of the noise pollution for those city blocks. The analyzed data are compared with the legally defined norms and if the norms are not met, the competent authorities are alerted to solve the noise pollution problem. https://scrd.eu/index.php/scrd/article/view/30Smart citiesInternet of Thingsnoise pollutionBig data
spellingShingle Ivan JEZDOVIĆ
Nevena NEDELJKOVIĆ
Lazar ŽIVOJINOVIĆ
Božidar RADENKOVIĆ
Aleksandra LABUS
Smart city: A system for measuring noise pollution
Smart Cities and Regional Development Journal
Smart cities
Internet of Things
noise pollution
Big data
title Smart city: A system for measuring noise pollution
title_full Smart city: A system for measuring noise pollution
title_fullStr Smart city: A system for measuring noise pollution
title_full_unstemmed Smart city: A system for measuring noise pollution
title_short Smart city: A system for measuring noise pollution
title_sort smart city a system for measuring noise pollution
topic Smart cities
Internet of Things
noise pollution
Big data
url https://scrd.eu/index.php/scrd/article/view/30
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AT lazara1⁄2ivojinovia smartcityasystemformeasuringnoisepollution
AT boa3⁄4idarradenkovia smartcityasystemformeasuringnoisepollution
AT aleksandralabus smartcityasystemformeasuringnoisepollution