Evaluation of Acoustic Noise Level and Impulsiveness Inside Vehicles in Different Traffic Conditions

Abstract

Recently, the issue of sound quality inside vehicles has attracted interest from both researchers and industry alike due to health concerns and also to increase the appeal of vehicles to consumers. This work extends the analysis of interior acoustic noise inside a vehicle under several conditions by comparing measured power levels and two different models for acoustic noise, namely the Gaussian and the alpha-stable distributions. Noise samples were collected in a scenario with real traffic patterns using a measurement setup composed of a Raspberry Pi Board and a microphone strategically positioned. The analysis of the acquired data shows that the observed noise levels are higher when traffic conditions are good. Additionally, the interior noise presented considerable impulsiveness, which tends to be more severe when traffic is slower. Finally, our results suggest that noise sources related to the vehicle itself and its movement are the most relevant ones in the composition of the interior acoustic noise.

On the robustness of microflown probe for the assessment of the vibro-acoustic signature: methodological and experimental aspects in a modal test environment

“…Vibrating source localization and quantification is widely used for diagnostics purposes or for quality control end-of-line testing, e.g. in the automotive audio assessment of the vehicle cabin, [5], [6]. Nowadays, advances in technology offer several solutions for the characterization of the sound field, [7], [8], [9]; among these, microflown (p-u) probes are used in applications where complex acoustic field are generated, [10], [11], [12], [13], [14].…”