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Crossroad traffic load estimation based on the noise level measurement

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Języki publikacji
EN
Abstrakty
EN
The article presents a method of a crossroad traffic load estimation based on the registered noise level. Data on the current noise level and the equivalent traffic intensity for the selected crossroad was recorded as part of the test installation of the road traffic impact assessment system for the acoustic climate. The measurement was carried out continuously over a fewmonth period. Based on the collected data, the analysis of variability of registered noise levels was carried out in relations to changes of equivalent traffic load and selected environmental parameters: temperature and relative air humidity. The use of artificial neural network has been proposed for estimating traffic load. On the basis of the equivalent noise level for the fifteen-minute interval and the values of environmental parameters averaged over the same period of time, the equivalent traffic load within the crossroad shall be determined.
Słowa kluczowe
Rocznik
Strony
55--60
Opis fizyczny
Bibliogr. 14 poz.
Twórcy
autor
  • University of Bielsko-Biala, Faculty of Management and Transport, Willowa 2, 43-300 Bielsko-Biala, Poland
  • University of Bielsko-Biala, Faculty of Management and Transport, Willowa 2, 43-300 Bielsko-Biala, Poland
autor
  • University of Bielsko-Biala, Faculty of Management and Transport, Willowa 2, 43-300 Bielsko-Biala, Poland
Bibliografia
  • [1] Stock of vehicles at regional level. Eurostat. Statistics explained, available: http://ec.europa.eu/eurostat/statisticsexplained/index.php/Stock_of_vehicles_at_regional_level [date of access: 22.01.2018]
  • [2] Vehicles per capita by country. European Automobile Manufacturers Association, available: http://www.acea.be/statistics/tag/category/vehicles-per-capita-by-country [date of access: 22.01.2018]
  • [3] Data and statistics. World Health Organization Regional Office for Europe, available: http://www.euro.who.int/en/health-topics/environment-and-health/noise/data-andstatistics [date of access: 22.01.2018]
  • [4] Directive 2002/49/EC Of The European Parliament And Of The Council of 25 June 2002 relating to the assessment and management of environmental noise. Official Journal of the European Communities, available: http://ec.europa. eu/environment/noise/directive_en.htm [date of access: 22.01.2018]
  • [5] PASZKOWSKI W.: An innovative method for assessing road noise in the urban area. (in Polish). Innowacje w Zarządzaniu i Inżynierii Produkcji, R. Knosala, (ed.) Opole, Oficyna Wydawnicza Polskiego Towarzystwa Zarządzania Produkcją, 2015, pp. 810-818
  • [6] KONIOR A., et al.: A concept of extension of the OnDynamic system with module for monitoring road traffic impact on the urban environment. Archives of Transport System Telematics, 2016, Vol. 9, iss. 2: pp. 22-25
  • [7] SORDYL J., BRZOZOWSKI K.: The characteristic of a local buildings needed for location of station of road traffic impact monitoring system (in Polish). Autobusy. Technika, Eksploatacja, Systemy Transportowe, 2017, nr 6, pp.420-424
  • [8] BRZOZOWSKI K., MACZYŃSKI A., RYGUŁA A.: Tests of low-cost sensors for measuring carbon monoxide, particulate matter and sound level for the purpose of monitoring traffic impact on environment (in Polish). Autobusy. Technika, Eksploatacja, Systemy Transportowe, 2017, nr 12, pp. 42-45
  • [9] GARG N., MAJI S.: A critical review of principal traffic noise models: Strategies and implications. Environmental Impact Assesment Review, 2014, nr 46, pp. 68-81, https://doi. org/10.1016/j.eiar.2014.02.001 [date of access: 22.01.2018]
  • [10] GUARNACCIA C., et al.: A Comparison between Traffic Noise Experimental Data and Predictive Models Results. International Journal of Machanics, issue 4, vol.5, 2011, pp. 379-386
  • [11] GRABARA A., PŁOSA J., RYGUŁA A.: The evaluation of the efficiency of determining traffic volume using bluetooth systems. Transport Problems’2015, Proceedings of VII International Symposium of Young Researches, Katowice-Opole, 2015
  • [12] OSOWSKI S.: Sieci neuronowe w ujęciu algorytmicznym, WNT, Warszawa 1996
  • [13] AGARWAL S., SWAMI B.L., GUPTA A.B.: Development of a noise prediction model under interrupted traffic flow conditions: a case study for Jaipur city. Noise Health 11, 2009, pp. 189-193, https://doi.org/10.4103/1463-1741.56211 [date of access: 22.01.2018]
  • [14] RAJAKUMARA H., MAHALINGE G.: Road Traffic Noise Prediction Model under Interrupted Traffic Flow Condition. Environmental Modeling & Assessment, issue 2, vol.14, 2009, pp. 251-257, https://doi.org/10.1007/s10666-008-9138-6 [date of access: 22.01.2018]
Typ dokumentu
Bibliografia
Identyfikator YADDA
bwmeta1.element.baztech-8e0e8b0d-4bef-4044-9d55-9ad28062c623
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