Techniques for the investigation of road traffic noise in regions of restricted flow by the use of digital computer simulation methods

Jones, R.R.K.; Hothersall, David; Salter, R. J.

doi:10.1016/0022-460x(81)90379-5

Cited by 6 publications

(2 citation statements)

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“…At about the same time, the Ontario Ministry of Transportation and Communications completed development of a predictive equation based on the L eq concept. 7 In 1983, Jones et al 8 used computer methods to simulate road traffic noise in various restricted flow conditions. They showed that L 10 noise level adjacent to the accelerating traffic streams is generally found to be greater than that adjacent to decelerating streams.…”

Section: Introductionmentioning

confidence: 99%

“…Over the past decades, various traffic noise prediction models based on the statistical analysis of noise measurements at different places [1][2][3][4][5][6][7][8][9][10] have been suggested. In 1967, Stephenson and Vulkan 1 presented a traffic noise survey in Central London and reported that traffic noise in urban roads was mainly governed by the total number of vehicles, traffic composition, road gradients, and road surfaces.…”

Section: Introductionmentioning

confidence: 99%

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A multiple regression model for urban traffic noise in Hong Kong

Lam³

et al. 2002

The Journal of the Acoustical Society of America

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This article describes the roadside traffic noise surveys conducted in heavily built-up urban areas in Hong Kong. Noise measurements were carried out along 18 major roads in 1999. The measurement data included L10, L50, L90, Leq, Lmax, the number of light vehicles, the number of heavy vehicles, the total traffic flow, and the average speed of vehicles. Statistical analysis using the analysis of variance (ANOVA) and Tukey test (p<0.05) reveals that the total traffic flow and the number of heavy vehicles are the most significant factors of urban traffic noise. Multiple regression was used to derive a set of empirical formulas for predicting L10 noise level due to road traffic. The accuracy of these empirical formulas is quantified and compared to that of another widely used prediction model in Hong Kong--the Calculation of Road Traffic Noise. The applicability of the selected multiple regression model is validated by the noise measurements performed in the winter of 2000.

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Section: Introductionmentioning

confidence: 99%