Statistical modeling approaches for urban traffic noise

Simulation of urban traffic noise along with a statistical model of traffic noise for the road network in the city center is presented in this paper. The road network of the central park of Patras –Greece was used as the study area. The model’s parameters include traffic volume, with every type of vehicle, and the average speed of vehicles.

A series of measurements have been carried out on several roads to verify the model. The relationship between the calculated and measured data has been quantified using a linear regression with a resulting correlation coefficient of 0.95. The results are expressed as a functional expansion and the stochastic models that give the solution to the problem are prediction ellipsoid of noise, based on the statistical theory of regression analysis and analysis of variance and therefore can be used effectively in traffic noise prediction for related or similar projects.

Copyright: © Aristotle University of Thessaloniki
Quelle: 2nd International Conference 2009 (Juni 2009)
Seiten: 6
Preis inkl. MwSt.: € 5,00
Autor: E.K. Manatakis

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