4.6 Article

Statistical Pass-By for Unattended Road Traffic Noise Measurement in an Urban Environment

Journal

SENSORS
Volume 22, Issue 22, Pages -

Publisher

MDPI
DOI: 10.3390/s22228767

Keywords

SPB method; sound pass-by; low-noise surfaces; noise modeling; road traffic noise; unattended noise measurement procedure; traffic measurements; noise emission; environmental noise; sound

Funding

  1. European Commission Executive Agency for Small and Medium-Sized Enterprises LIFE program [LIFE15 ENV/IT/000268]

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Low-noise surfaces have been widely used to reduce noise, and methods like CPX and SPB are developed to assess their effectiveness. However, CPX is source oriented and SPB requires special settings in urban environments. This paper presents a new method called U-SPB, which combines unattended measurements and laboratory processing to extend the evaluation of low-noise laying in urban contexts.
Low-noise surfaces have become a common mitigation action in the last decade, so much so that different methods for feature extraction have been established to evaluate their efficacy. Among these, the Close Proximity Index (CPX) evaluates the noise emissions by means of multiple runs at different speeds performed with a vehicle equipped with a reference tire and with acoustic sensors close to the wheel. However, signals acquired with CPX make it source oriented, and the analysis does not consider the real traffic flow of the studied site for a receiver-oriented approach. These aspects are remedied by Statistical Pass-By (SPB), a method based on sensor feature extraction with live detection of events; noise and speed acquisitions are performed at the roadside in real case scenarios. Unfortunately, the specific SPB requirements for its measurement setup do not allow an evaluation in urban context unless a special setup is used, but this may alter the acoustical context in which the measurement was performed. The present paper illustrates the testing and validation of a method named Urban Pass-By (U-SPB), developed during the LIFE NEREiDE project. U-SPB originates from standard SPB, exploits unattended measurements and develops an in-lab feature detection and extraction procedure. The U-SPB extends the evaluation in terms of before/after data comparison of the efficiency of low-noise laying in an urban context while combining the estimation of long-term noise levels and traffic parameters for other environmental noise purposes, such as noise mapping and action planning.

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