Literature DB >> 27975332

Traffic noise mapping of Indian roads through smartphone user community participation.

Rajiv Kumar1, Abhijit Mukherjee2, V P Singh3.   

Abstract

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.

Keywords:  Community participation; Environment noise monitoring; Fuzzy logic; Google® map; Noise map; Noise pollution; Smartphone

Mesh:

Year:  2016        PMID: 27975332     DOI: 10.1007/s10661-016-5741-1

Source DB:  PubMed          Journal:  Environ Monit Assess        ISSN: 0167-6369            Impact factor:   2.513


  4 in total

1.  Evaluation of traffic noise pollution in Amman, Jordan.

Authors:  Ahmad Jamrah; Abbas Al-Omari; Reem Sharabi
Journal:  Environ Monit Assess       Date:  2006-06-02       Impact factor: 2.513

2.  Noise sensitivity as a factor influencing human reaction to noise.

Authors:  R.F. Soames Job
Journal:  Noise Health       Date:  1999       Impact factor: 0.867

3.  Evaluation of smartphone sound measurement applications.

Authors:  Chucri A Kardous; Peter B Shaw
Journal:  J Acoust Soc Am       Date:  2014-04       Impact factor: 1.840

4.  A system for evaluating the impact of noise pollution on the population's health.

Authors:  Adriano Bressane; Patricia Satie Mochizuki; Rosana Maria Caram; José Arnaldo Frutuoso Roveda
Journal:  Cad Saude Publica       Date:  2016-05-13       Impact factor: 1.632

  4 in total

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