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Publikacje
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[91060] Artykuł:

Validation of traffic noise models

Czasopismo: AIP Conference Proceedings   Tom: 2077
ISSN:  0094-243X
ISBN:  978-0-7354-1805-9
Wydawca:  AMER INST PHYSICS, 2 HUNTINGTON QUADRANGLE, STE 1NO1, MELVILLE, NY 11747-4501 USA
Opublikowano: Luty 2019
Seria wydawnicza:  AIP Conference Proceedings
 
  Autorzy / Redaktorzy / Twórcy
Imię i nazwisko Wydział Katedra Do oświadczenia
nr 3
Grupa
przynależności
Dyscyplina
naukowa
Procent
udziału
Liczba
punktów
do oceny pracownika
Liczba
punktów wg
kryteriów ewaluacji
Andrzej Bąkowski orcid logo WMiBMKatedra Mechaniki**Takzaliczony do "N"Inżynieria mechaniczna25.00.00  
Leszek Radziszewski orcid logo WMiBMKatedra Mechaniki**Takzaliczony do "N"Inżynieria mechaniczna25.00.00  
Zbigniew Skrobacki orcid logo WMiBMKatedra Pojazdów Samochodowych i Transportu*Takzaliczony do "N"Inżynieria mechaniczna25.00.00  
Vladimir Dekýš Niespoza "N" jednostki25.00.00  

Grupa MNiSW:  Materiały z konferencji międzynarodowej (zarejestrowane w Web of Science)
Punkty MNiSW: 0
Klasyfikacja Web of Science: Proceedings Paper


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Abstract:

The results of vehicle traffic measurements were used to simulate changes in the noise measurand variation. The Nordic Prediction Method and Cnossos-EU models were used for this purpose. The traffic flow was measured over the period between January and December 2013. The measurements were documented at one hour intervals throughout the entire 24 hours of the day (1:00-24:00). The results of noise simulations were compared with the equivalent sound level calculated by permanent automatic sound and traffic volume monitoring station. The variability of the results was described using parameters such as the coefficient of variation, positional variation and the quartile coefficient of dispersion. The coefficient of variation and positional variation of traffic were proposed for the analysis of data scattering. It was found that in most cases, the distribution of the tested variable was not normal. Box plots were used to assess whether outliers data occurred in the recorded results. The variability of noise and type A uncertainty of the results were evaluated. The times of the day in which the parameters describing the variability of the recorded traffic had stabilized values were identified. The results obtained for the data recorded on working and non-working days were compared.