Traffic noise mapping of Indian roads through smartphone user community participation

Road traffic noise pollution is a global hazard, and rapid urbanization has aggravated the problem. This paper explores a novel approach which involves a smartphone user community to monitor the prevalent noise. The system involves a client application on smartphones that records noise, processes th...

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Main Authors: Kumar, R., Mukherjee, Abhijit, Singh, V.
Format: Journal Article
Published: Springer Netherlands 2017
Online Access:http://hdl.handle.net/20.500.11937/48943
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author Kumar, R.
Mukherjee, Abhijit
Singh, V.
author_facet Kumar, R.
Mukherjee, Abhijit
Singh, V.
author_sort Kumar, R.
building Curtin Institutional Repository
collection Online Access
description Road traffic noise pollution is a global hazard, and rapid urbanization has aggravated the problem. This paper explores a novel approach which involves a smartphone user community to monitor the prevalent noise. The system involves a client application on smartphones that records noise, processes the information and communicates to a server and shares the information as visual noise levels on Google® Maps. A fuzzy logic-based classification of noise is proposed. Results from residential, commercial, and industrial areas of the northern region of India are demonstrated. The noise levels are generally found to be higher than the prescribed standards. The experiment demonstrates the huge potential of user community participation in monitoring noise pollution.
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format Journal Article
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institution Curtin University Malaysia
institution_category Local University
last_indexed 2025-11-14T09:39:04Z
publishDate 2017
publisher Springer Netherlands
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spelling curtin-20.500.11937-489432017-10-02T02:28:15Z Traffic noise mapping of Indian roads through smartphone user community participation Kumar, R. Mukherjee, Abhijit Singh, V. Road traffic noise pollution is a global hazard, and rapid urbanization has aggravated the problem. This paper explores a novel approach which involves a smartphone user community to monitor the prevalent noise. The system involves a client application on smartphones that records noise, processes the information and communicates to a server and shares the information as visual noise levels on Google® Maps. A fuzzy logic-based classification of noise is proposed. Results from residential, commercial, and industrial areas of the northern region of India are demonstrated. The noise levels are generally found to be higher than the prescribed standards. The experiment demonstrates the huge potential of user community participation in monitoring noise pollution. 2017 Journal Article http://hdl.handle.net/20.500.11937/48943 10.1007/s10661-016-5741-1 Springer Netherlands restricted
spellingShingle Kumar, R.
Mukherjee, Abhijit
Singh, V.
Traffic noise mapping of Indian roads through smartphone user community participation
title Traffic noise mapping of Indian roads through smartphone user community participation
title_full Traffic noise mapping of Indian roads through smartphone user community participation
title_fullStr Traffic noise mapping of Indian roads through smartphone user community participation
title_full_unstemmed Traffic noise mapping of Indian roads through smartphone user community participation
title_short Traffic noise mapping of Indian roads through smartphone user community participation
title_sort traffic noise mapping of indian roads through smartphone user community participation
url http://hdl.handle.net/20.500.11937/48943