Skip to main content
SpringerLink
Log in

Traffic Noise Analysis Applied to Automatic Vehicle Counting and Classification

  • Conference paper
  • First Online:
Multimedia Communications, Services and Security (MCSS 2017)

Part of the book series: Communications in Computer and Information Science ((CCIS,volume 785))

Abstract

Problems related to determining traffic noise characteristics are discussed in the context of automatic dynamic noise analysis based on noise level measurements and traffic prediction models. The obtained analytical results provide the second goal of the study, namely automatic vehicle counting and classification. Several traffic prediction models are presented and compared to the results of in-situ noise level measurements. Synchronized audio recordings were made to determine Sound Quality parameters describing the nature of acquired sound signals. Video recordings and information about the traffic structure using commercially available automatic vehicle detection methods were also collected in order to create ground truth data used for the experiments.

This is a preview of subscription content, log in via an institution to check access.

Access this chapter

Log in via an institution
Chapter
USD 29.95
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
eBook
USD 39.99
Price excludes VAT (USA)
  • Available as EPUB and PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book
USD 54.99
Price excludes VAT (USA)
  • Compact, lightweight edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info

Tax calculation will be finalised at checkout

Purchases are for personal use only

Institutional subscriptions

References

  1. Automotive audio quality. JAES 53(6), 542–548 (2005)

    Google Scholar 

  2. Array of things project. https://arrayofthings.github.io/. Accessed July 2017

  3. Acoustic mapping and noise monitoring portal of Gdańsk city. http://mapaakustyczna.gdansk.gda.pl/GdanskMakus/

  4. Archives Center, National Museum of American History, Charles Adler, Jg. Collection, ca. 1920–1980. http://amhistory.si.edu/archives/d8351.htm. Accessed July 2017

  5. Athanasiadis, I.N., Mitkas, P.A., Rizzoli, A.E., Gómez, J.M. (eds.): Information Technologies in Environmental Engineering. Environmental Science and Engineering. Springer, Heidelberg (2009). doi:10.1007/978-3-540-88351-7_16

    Google Scholar 

  6. Beca, I.M., Holonec, L., Hoda, G., Clitan, A.: Analysing noise levels in urban area during the evening period. ProEnvironment 9, 95–98 (2016). http://journals.usamvcluj.ro/index.php/promediu. Accessed July 2017

    Google Scholar 

  7. Botteldooren, D., Dekoninck, L., Gillis, D.: The influence of traffic noise on appreciation of the living quality of a neighborhood. Int. J. Environ. Res. Public Health 8(3), 777–798 (2011). doi:10.3390/ijerph8030777

    Article  Google Scholar 

  8. Berengier, M.: Noise classification methods for urban road surfaces: “Backing Board” method: LCPC contribution, report F.R1, silence project (2012). http://www.silence-ip.org/site/fileadmin/SP_F/SILENCE_F.R1_140108_LCPC.pdf. Accessed July 2017

  9. Cerrato, G.: Automotive sound quality powertrain, road and wind noise. Sound & Vibration, April 2009. http://www.sandv.com/downloads/0904cerr.pdf. Accessed July 2017

  10. Czyżewski, A., Kotus, J., Szczodrak, M.: Online urban acoustic noise monitoring system. Noise Control Eng. J. 60(1), 69–84 (2012)

    Article  Google Scholar 

  11. Czyżewski, A., Marciniuk, K., Kostek, B.: Dynamic road traffic density estimation employing noise mapping with the use of grid supercomputing. In: Proceedings of Acoustical Society of America 2016 Meeting, 2478337, Salt Lake City, USA, 23 May –27 August 2016 (2016). doi:10.1121/1.4949894

  12. DataKustikCadnaA: State-of-the-art noise prediction software.http://www.datakustik.com/fileadmin/user_upload/PDF/2012/CadnaA_at_a_glance_english.pdf. Accessed July 2017

  13. EasyCOUNT technical note. http://www.cat-traffic.pl/wp-content/uploads/EasyCOUNT.pdf. Accessed July 2017

  14. EEA (European Environment Agency): Technical report, No. 11, good practice guide on noise exposure and potential health effects, Copenhagen (2010). ISSN 1725-2237

    Google Scholar 

  15. European Directive 2002/49/EC, European Parliament and Council of 25/06/2002 Relating to the Assessment and Management of Environmental Noise (2002)

    Google Scholar 

  16. Fastl, H., Zwicker, E.: Psychoacoustics: Facts and Models. Springer Science and Business Media, Heidelberg (2007)

    Book  Google Scholar 

  17. Gaca, S., Suchorzewski, W., Tracz, M.: Inżynieria ruchu drogowego. Teoria i praktyka, Wydawnictwo Komunikacji i Łączności MKŁ (2014)

    Google Scholar 

  18. FONOMOC - The main network for noise monitoring, working group noise EUROCITIES. https://workinggroupnoise.com/fonomoc/. Accessed July 2017

  19. Herrera, C.G., Donoso-Garcia, P.F., Medeiros, E.B.: Intelligibility in low-cost automotive audio systems. J. Audio Eng. Soc. 64(5), 320–331 (2016). https://doi.org/10.17743/jaes.2016.0010

    Article  Google Scholar 

  20. Kaplanis, N., Bech, S., Tervo, S., Pätynen, J., Lokki, T., Waterschoot, T., Jensen, S.H.: A rapid sensory analysis method for perceptual assessment of automotive audio. J. Audio Eng. Soc. 65(1/2), 130–146 (2017). https://doi.org/10.17743/jaes.2016.0056

    Article  Google Scholar 

  21. Klein, L.A., Mills, M.K., Gibson, D.R.P.: Traffic Detector Handbook, 3rd edn., vol. I. FHWA-HRT-06-108, October 2006

    Google Scholar 

  22. Kurowski, A., Marciniuk, K., Kostek, B.: Separability assessment of selected types of vehicle-associated noise. In: proceedings of 10th International Conference on Multimedia and Network Information Systems, vol. 506, No. 10, pp. 113–121, Wrocłlaw, Polska, 14–16 September 2016 (2016). doi:10.1007/978-3-319-43982-2_10

  23. Maisonneuve, N., Stevens, M., Niessen, M.E., Steels, L.: NoiseTube: measuring and mapping noise pollution with mobile phones. In: Proceedings of Information Technologies in Environmental Engineering (ITEE 2009), Proceedings of the 4th International ICSC Symposium (2009)

    Google Scholar 

  24. Manvell, D.: Managing urban noise in cities – an integrated approach to mapping, monitoring, evaluation and improvement. In: Proceedings of Internoise (1999)

    Google Scholar 

  25. Manvell, D., et al.: Reverse engineering: guidelines and practical issues of combining noise measurements and calculations. In: Proceedings of Internoise 2007 (2007)

    Google Scholar 

  26. Marciniuk, K., Kostek, B.: Creating a numerical model of noise conditions based on the analysis of traffic volume changes in cities with low and medium structure. Arch. Acoust. 40(3), 438–439 (2015)

    Google Scholar 

  27. Marciniuk, K., Szczodrak, M., Kostek, B.: Analysis of noise assessment of selected areas in Gdańsk. Arch. Acoust. 40(4), 621–625 (2015). doi:10.1515/aoa-2015-0062

    Google Scholar 

  28. Marciniuk, K., Szczodrak, M., Kostek, B.: Performance of noise map service working in cloud computing environment. Arch. Acoust. 41(2), 297–302 (2016). doi:10.1515/aoa-2016-0029

    Article  Google Scholar 

  29. Notbohm, G., Gartner, C., Schwarze, S.: Psycho-physiological responses to the perception of vehicle pass-by noises. Institute of Social and Occupational Medicine, Heinrich-Heine-University of Duesseldorf, QWU

    Google Scholar 

  30. Quartieri, J., Mastorakis, N.E., Iannone, G., Guarnaccia, C., D’Ambrosio, S., Troisi, A., Lenza, T.L.L.: A review of traffic noise predictive models. In: Proceedings of Recent Advances in Applied and Theoretical Mechanics, 5th WSEAS International Conference on Applied and Theoretical Mechanics (MECHANICS 2009), Puerto De La Cruz, Tenerife, Canary Islands, Spain, 14–16 December, pp. 72–80 (2009)

    Google Scholar 

  31. Probst, F., Probst, W., Huber, B.: Comparison of noise calculation methods. In: Proceedings of Inter Noise 2011, Osaka, Japan, 4–7 September (2011)

    Google Scholar 

  32. Regulation (EU) No 540/2014 of the European Parliament and of the Council of 16 April 2014 on the sound level of motor vehicles and of replacement silencing systems, and amending Directive 2007/46/EC and repealing Directive 70/157/EEC. Official Journal of the European Union, L 158/131 (2014)

    Google Scholar 

  33. Sandberg, U., Żurek, B.Ś., Ejsmont, J.A., Ronowski, G.: Tyre/road noise reduction of poroelastic road surface tested in a laboratory. In: Proceedings of Acoustics 2013–Victor Harbor, 17–20 November 2013, Victor Harbor, Australia (2013)

    Google Scholar 

  34. Salomons, E., Van Maercke, D., Defrance, J., De Roo, F.: The Harmonoise sound propagation model. Acta Acust. United Acust. 97, 62–74 (2011)

    Article  Google Scholar 

  35. Sørensen, M.: Road traffic noise and stroke: a prospective cohort study. Eur. Heart J. 32, 737–744 (2010). http://cordis.europa.eu/news/rcn/33064_en.pdf

    Article  Google Scholar 

  36. Stapelfeldt, H., Vukadin, P., Manvell, D.: Reverse Engineering Improving noise prediction in industrial noise impact studies. In: Proceedings of EuroNoise 2009 (2009)

    Google Scholar 

  37. Stapelfeldt, H., Ponzo: Validation and calibration in noise mapping – the Madrid study. In: Proceedings of IOA Autumn Conference (2005)

    Google Scholar 

  38. Stapelfeldt, H., Manvell, D.: Using dynamic noise mapping for pro-active environment noise management. In: Proceedings of Inter-Noise 2011 (2011)

    Google Scholar 

  39. Szczodrak, M., Czyżewski, A., Kotus, J., Kostek, B.: Frequently updated noise threat maps created with use of supercomputing grid. Noise Mapp. 1(1), 32–39 (2014)

    Google Scholar 

  40. Test stanowiska ważenia pojazdów w ruchu sprawdzaj acy poziom detekcji, identyfikacji i klasyfikacji pojazdów. https://www.gddkia.gov.pl/pl/d/d9801c129323a6857b5e79b96e52cc88

  41. Valuch, M., Pepucha, L., Pitoňák, M., Fraňo, P.: Surface pavement characteristics and accident rate. In: Proceedings of the 10th International Conference “Reliability and Statistics in Transportation and Communication” (RelStat 2010), 20–23 October 2010, Riga, Latvia, pp. 71-78 (2010). ISBN 978-9984-818-34-4 Transport and Telecommunication Institute, Lomonosova 1, LV-1019, Riga, Latvia

    Google Scholar 

  42. Wetlesen, T.: Cloud computing for noise monitoring. In: INTER-NOISE and NOISE-CON Congress and Conference Proceedings. Institute of Noise Control Engineering, pp. 2987-2982 (2013)

    Google Scholar 

  43. Wu, R., Zhang, B., Hu, W., Liu, L., Yang, J.: Application of noise mapping in environmental noise management in Hangzhou, China. In: Proceedings of EuroNoise, Maastricht, 31 May–3 June (2015)

    Google Scholar 

Download references

Acknowledgments

Research was subsidized by the Polish National Centre for Research and Development and the General Directorate of Public Roads and Motorways within the grant No. OT4- 4B/AGH-PG-WSTKT.

Author information

Authors and Affiliations

  1. Laboratory of Audio Acoustics, Faculty of ETI, Gdańsk University of Technology, Narutowicza 11/12, 80-233, Gdańsk, Poland

    Karolina Marciniuk & Bożena Kostek

  2. Multimedia Systems Department, Faculty of ETI, Gdańsk University of Technology, Narutowicza 11/12, 80-233, Gdańsk, Poland

    Andrzej Czyżewski

Authors
  1. Karolina Marciniuk
    View author publications

    You can also search for this author in PubMed Google Scholar

  2. Bożena Kostek
    View author publications

    You can also search for this author in PubMed Google Scholar

  3. Andrzej Czyżewski
    View author publications

    You can also search for this author in PubMed Google Scholar

Corresponding author

Correspondence to Karolina Marciniuk .

Editor information

Editors and Affiliations

  1. AGH University of Science and Technology, Krakow, Poland

    Andrzej Dziech

  2. Gdańsk University of Technology, Gdansk, Poland

    Andrzej Czyżewski

Rights and permissions

Reprints and permissions

Copyright information

© 2017 Springer International Publishing AG

About this paper

Cite this paper

Marciniuk, K., Kostek, B., Czyżewski, A. (2017). Traffic Noise Analysis Applied to Automatic Vehicle Counting and Classification. In: Dziech, A., Czyżewski, A. (eds) Multimedia Communications, Services and Security. MCSS 2017. Communications in Computer and Information Science, vol 785. Springer, Cham. https://doi.org/10.1007/978-3-319-69911-0_9

Download citation

  • DOI: https://doi.org/10.1007/978-3-319-69911-0_9

  • Published:

  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-69910-3

  • Online ISBN: 978-3-319-69911-0

  • eBook Packages: Computer ScienceComputer Science (R0)

Publish with us

Policies and ethics

Search

Navigation