Investigation Forecasting Methods of Noise Level From Rail Trams in Lviv City

2021;
: pp. 33 - 40
1
Lviv Polytechnic National University, Ukraine
2
Lviv Polytechnic National University
3
Lviv Polytechnic National University, Ukraine

The method of localization of noise level calculation from a rail vehicle in the city of Lviv is investigated and developed. Models of noise load measurement have been adapted, the measured values have been unified and our own solution has been created on the basis of the road surface, the speed of rail transport and the distance from the noise source. According to the research methods, namely: Schall 03 (from Germany), Nordic Train (Scandinavian countries) was carried out compared to the Bland—Altmann schedule, with which we can adapt the studied results. distance from the noise source. As a result, models for predicting noise load measurements were adapted. The results were carried out compared to the Bland-Altmann plot, which helped us with the comparison table. The purpose of the study is to analyze methods for noise level measurements and adapt them into our realities. Based on the known methods of measuring the noise load of railway vehicles, we can assume that there are no correct methods for the cities of Ukraine (especially Lviv).

  1. Salomons, E. M., Berghauser Pont, M. (2012). Urban traffic noise and the relation to urban density, form, and traffic elasticity. Landscape and Urban Planning. DOI: 10.1016/j.landurbplan.2012.06.017.
  2. Mishra, R. K., Parida, M., Rangnekar, S. (2010). Evaluation and analysis of Traffic Noise Along Bus Rapid Transit System Corridor. International Journal of Environmental Science and Technology. DOI: 10.1007/BF03326183.
  3. Gallo, M. (2020). A piecewise-defined function for modelling traffic noise on Urban Roads. MDPI. DOI: 10.3390/infrastructures5080063.
  4. Maghrour Zefreh, M., Torok, A. (2018). Theoretical comparison of the effects of different traffic conditions on Urban Road Traffic Noise. Journal of Advanced Transportation. DOI: 10.1155/2018/7949574.
  5. Maine, L., Sharma, L., Franzen, D. (2016). Use of corn height measured with an acoustic sensor improves yield estimation with ground based active optical sensors. Computers and Electronics in Agriculture. DOI:10.1016/j.compag.2016.04.016.
  6. Melnyk, M., Lobur, M., Vasyliuk, I., Mazur, V., Hemich, N. (2011). The mathematical model of length defining position of dominated noise source in traffic flow. Proc. of the XI Intern. Conf. on the experience of designing and application of CAD systems in microelectronics (CADSM’2011). Lviv — Polyana: Publishing House Vezha & Co.
  7. ISO 362-1 Road vehicles (2007). Measurement of noise emitted by accelerating road vehicles. Engineering method. Part 1. Road vehicles of M and N categories ISO. https://www.iso.org/obp/ui/#iso:std:iso:362:-1:ed-1:en.
  8. Jonasson, Hans G. (2001). Nord 2000. New Nordic prediction method for rail traffic noise, SP Hallbar Samhallsbyggnad, Ljud och vibration. Storeheier, Svein, SINTEF. DOI: 10.1006/jsvi.1996.0268.
  9. SoundPLAN User’s manual Sound PLAN GmbH / Sound PLAN International LLC Stand: (2018), ch. 6, pp. 83–89.
  10. Szwarc, M., Kostek, B., Kotus, J., Szczodrak, M. & Czyzzewski, A. (2011). Problems of Railway Noise — A Case Study. International Journal of Occupational Safety and Ergonomics, DOI: 10.1080/10803548. 2011.11076897.
  11. Giavarina, D. (2015). Understanding Bland Altman analysis, Biochem Med (Zagreb). DOI: 10.11613/BM.2015.015. 
  12. Bland, J. M., Altman, D. G. (1986). Statistical methods for assessing agreement between two methods of clinical measurement (PDF). DOI: 10.1016/S0140-6736(86)90837-8.PMID2868172.S2CID2844897.