Probabilistic model for urban traffic noise analyses using real sound signals
Italo César Montalvão Guedes,
Stelamaris Rolla Bertoli,
Jugurta Montalvão
Abstract:Vehicular traffic is pointed out as a major source of urban noise pollution today. In this paper, we evaluated the precision of a new probabilistic model for urban traffic noise analyses. The proposed model adopts real sound signals and the Monte Carlo method in simulations. Probability distributions of traffic variables were obtained in-situ on two urban roads. The acoustic signals and corresponding energies of single pass-by of vehicles were obtained usingsound signal recordings on test tracks under free-fie… Show more
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