Traffic noise mapping of Indian roads through smartphone user community participation

Article
  • 209 Downloads

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

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

Notes

Acknowledgements

The authors thank all the volunteers for data collection and sharing their experience on noise levels. Contributions of some volunteers, on providing responses about the impact of environmental noise level on them, are gratefully acknowledged.

References

  1. Abdelzaher, T., Anokwa, Y., Boda, P., Burke, J., Estrin, D., Guibas, L., Kansal, A., Madden, S., & Reich, J. (2007). Mobiscopes for human spaces. IEEE Pervasive Computing, 6, 20–29.CrossRefGoogle Scholar
  2. Bagula, A., Inggs, G., Scotts, S., & Zennaro, M. (2010). Community sensor networks: an application to pollution maps lecture notes in computer science. Adhoc now, 1–23.Google Scholar
  3. Bennett, G., King, E.A., Curn, J., Cahill, V., Bustamante, F., & Rice, H.J. (2010). Environmental noise mapping using measurements in transit In: Proc. of ISMA.Google Scholar
  4. Berglund, B., Lindvall, T., and Schwela, D.H (1999). Guidelines for community noise. World Health Organization: Protection of the Human Environment.Google Scholar
  5. Bressane, A, Mochizuki, P.S, Caram, R.M, & Roveda, J.A.F (2016) A system for evaluating the impact of noise pollution on the population’s health Cadernos de saude publica, 32(5).Google Scholar
  6. Burke J, Estrin D, Hansen M, Parker A, Ramanathan N, Reddy S, and Srivastava M (2006). Participatory sensing. In ACM Sensys workshop on World-Sensor-Web (WSW’06): Mobile Device Centric Sensor Networks and Applications. 1–5.Google Scholar
  7. Campbell, A.T., Eisenman, S.B., Lane, N.D., Miluzzo, E., Peterson, R.A., Hong, L., Xiao, Z., Musolesi, M., Fodor, K., & Gahng-Seop, A. (2008) The rise of people-centric sensing. In IEEE Internet Computing, 12(4), special issue on sensor networks, 12–21, IEEE Computer Society.Google Scholar
  8. Canter, L. W. (1996). Environmental impact assessment (Second ed.). New York: McGraw-Hill Publishers.Google Scholar
  9. Christin, D., Reinhardt, A., Kanhere, S.,& Hollick, M. (2011). A survey on privacy in mobile participatory sensing applications. Journal of Systems and Software.Google Scholar
  10. CPCB (2000) <http://www.cpcbenvis.nic.in/noisepollution/noise_rules_2000.pdf>. Last accessed (Jan 16, 2016)
  11. De Muer, T., & Botteldooren, D. (2004). Fuzzy noise maps and fuzzy noise limits for impact assessment In Proc. of the IEEE 4th Int. Conf on Intelligent Systems Design and Application (ISDA 2004). Google Scholar
  12. Dutta, P., Aoki, P.M., Kumar, N., Mainwaring, A., Myers, C., Willett, W., & Woodruff, A. (2009). Common sense: participatory urban sensing using a network of handheld air quality monitors. In Proceedings of the 7th ACM SenSys. 349–350.Google Scholar
  13. Fogola, J., Masera, S., & Bevacqua, V. (2015). Smartphone as noise level meter?. In Proc. of the 22nd Int. Congress on Sound and Vibration, 2(8). 110–117.Google Scholar
  14. Gupta, A., & Chakraborty, R. (2003). An integrated assessment of noise pollution in Silchar, Assam, North-East India. Pollution Research, 22(4), 495–499.Google Scholar
  15. Healthy Hearing. The best Phone Apps to Measure Noise Levels (2011). Retrieved from: <http://www.healthyhearing.com/content/articles/Hearing-loss/Protection/47805-Thebest-phone-apps-to-measure-noise-levels>. Last accessed (10 Apr 2016).
  16. Jamrah, A., Al-omari, A., & Sharabi, A. (2006). Evaluation of traffic noise pollution in Amman, Jordan. Environmental Monitoring and Assessment, 120, 499–525.CrossRefGoogle Scholar
  17. Kardous, C. A., & Shaw, P. B. (2014). Evaluation of smartphone sound measurement applications. The Journal of the Acoustical Society of America, 135(4), EL186–EL192.CrossRefGoogle Scholar
  18. Keene, K., Merovit, Irvin, E., Manji, N., Everett, M., Chung, I., and Morrison, C. (2013). Accuracy of smartphone sound level meter applications.Google Scholar
  19. Kivelä, I., & Hakala, I. (2015). Area-based environmental noise measurements with a wireless sensor network.Google Scholar
  20. Kumar, R. R., & Somashekhar, R. K. (2001). Status of noise level in Bangalore City. Journal of Environment and Pollution, 8(2), 197–199.Google Scholar
  21. Leao, S., Peerson, A., & Elkadi, H. (2012). Effects of exposure to traffic noise on health. In: Working together to achieve liveable cities: Proceedings of the 5th Liveable Cities Conference 2012. AST Management. 125–144.Google Scholar
  22. Maisonneuve, N., Stevens, M., & Ochab, B. (2010). Participatory noise pollution monitoring using mobile phones. Information Polity, 15(1), 51–71.Google Scholar
  23. Maltby, M. T. (2002). Principles of hearing aid audiology (Second ed.). London: Glassgow Chapman and Hall.Google Scholar
  24. Martin, M. A., Tarrero, M. A., Gonzalez, A., & Machimbarrena, M. (2006). Exposure effect relationships between road traffic noise annoyance and noise cost valuation in Valladolid, Spain. Journal of Applied Acoustics, 67(10), 945–958.CrossRefGoogle Scholar
  25. Mohan, S., Dutta, N., & Sarai, S. M. (2000). Subjective reaction to road traffic noise of resident living in Delhi City. Pollution Research, 19(3), 353–356.Google Scholar
  26. Naik, S., & Purohit, K. M. (1999). Traffic noise pollution at Bondamunda of Rourkela Industrial Complex. Pollution Research, 18(4), 475–478.Google Scholar
  27. Rana, R., Chou, C. T., Bulusu, N., Kanhere, S., & Hu, W. (2013). Ear-phone: a context-aware noise mapping using smartphones. ArXiv preprint arXiv, 1310, 4270.Google Scholar
  28. Roberts, H.C. (1978). Noise pollution, In: Environmental engineers handbook, Vol. III, Land Pollution, (Ed: B. G. Liptak), Chilton Book Company, Randon, Pennsylvania. 568–584.Google Scholar
  29. Santra, S.C. (1998). Status of noise pollution studies in Calcutta and current state of legal measures for abatement. In: Proceeding of the national workshop on environmental statistics, Goa, central statistical organisation, department of statistics. Ministry of planning and programme implementation, Government of India, New Delhi. 79–89.Google Scholar
  30. Sen, R., Siriah, P., & Raman, B. (2011). RoadSoundSense: acoustic sensing based road congestion monitoring in developing regions. Sensor, Mesh and Ad Hoc Communications and Networks (SECON), 2011 8th Annual IEEE Communications Society Conference on, Salt Lake City, UT. 125–133. doi: 10.1109/SAHCN.2011.5984883.
  31. Schweizer, I., Meurisch, C., Gedeon, J., Bärtl, R., & Mühlhäuser, M. (2012). Noisemap: multi-tier incentive mechanisms for participative urban sensing. In Proc. of the Third Inter. Workshop on Sensing Applications on Mobile Phones (p. 9). ACM.Google Scholar
  32. Soames Job R F (1999). Noise sensitivity as a factor influencing human reaction to noise. Noise Health (1). 57–68.Google Scholar
  33. Vér, L.I., Beranek, L.L. (2006). Noise and vibration control engineering: principles and applications, Wiley. Print ISBN: 9780471449423.Google Scholar
  34. WHO (1980). Environmental health criteria on Noise. 12. World Health Organisation.Google Scholar
  35. WHO (2007). World Health Organisation. “noise and health” WHO Regional Office for Europe. Copenhagen: Regional Office for Europe.Google Scholar
  36. WHO (2009). World health organisation. “Night noise guidelines for Europe”. Copenhagen: Regional Office for Europe, < http://www.euro.who.int/__data/assets/pdf_file/0017/43316/E92845.pdf >. Accessed 9 June 2016.
  37. Yadav, K., Chakraborty, D., Soubam, S., Prathapaneni, N., Nandakumar, V., Naik, V., Rajamani, N., Subramaniam, L.V., Mehta, S., & De, P. (2013). Human sensors: case-study of open-ended community sensing in developing regions. IEEE Pervasive Computing and Communication (PerCom) Conference Work in Progress. 389–392.Google Scholar

Copyright information

© Springer International Publishing Switzerland 2016

Authors and Affiliations

  1. 1.Research Scholar, Department of Computer Science and EngineeringThapar UniversityPatialaIndia
  2. 2.Department of Civil EngineeringCurtin UniversityBentleyAustralia
  3. 3.Department of Computer Science and EngineeringThapar UniversityPatialaIndia

Personalised recommendations