Dynamic Evaluation of Traffic Noise through Standard and Multifractal Models

Alina Petrovici,Maricel Agop,Enrique Nava,Florin Nedeff,Valentin Nedeff,Jose Luis Cueto,Stefan Andrei Irimiciuc,Ricardo Hernandez,Carmen Bujoreanu

doi:10.3390/sym12111857

Abstract

Traffic microsimulation models use the movement of individual driver-vehicle-units (DVUs) and their interactions, which allows a detailed estimation of the traffic noise using Common Noise Assessment Methods (CNOSSOS). The Dynamic Traffic Noise Assessment (DTNA) methodology is applied to real traffic situations, then compared to on-field noise levels from measurement campaigns. This makes it possible to determine the influence of certain local traffic factors on the evaluation of noise. The pattern of distribution of vehicles along the avenue is related to the logic of traffic light control. The analysis of the inter-cycles noise variability during the simulation and measurement time shows no influence from local factors on the prediction of the dynamic traffic noise assessment tool based on CNOSSOS. A multifractal approach of acoustic waves propagation and the source behaviors in the traffic area are implemented. The novelty of the approach also comes from the multifractal model’s freedom which allows the simulation, through the fractality degree, of various behaviors of the acoustic waves. The mathematical backbone of the model is developed on Cayley–Klein-type absolute geometries, implying harmonic mappings between the usual space and the Lobacevsky plane in a Poincaré metric. The isomorphism of two groups of SL(2R) type showcases joint invariant functions that allow associations of pulsations–velocities manifolds type.

Highlights

It is well known that the main source of noise in urban areas is due to road traffic [1,2]
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Summary

Introduction

It is well known that the main source of noise in urban areas is due to road traffic [1,2]. Figures on the number of vehicles in European cities continue to increase, leading to major pollution problems. The incorporation of electric vehicles is not happening at the same rate in all countries. When it comes to noise pollution, according to the 2018 studies (EU-28), it seems that approximately 75 million people within urban areas are exposed to a noise level Lden (day–evening–night) above 55 dB [1]. The consequences of noise exposure of city inhabitants are often ignored or underestimated. The impact of traffic noise on humans is related to its negative impact on their health and behavior. There is growing evidence proving that noise is a cause of annoyance, nervousness, Symmetry 2020, 12, 1857; doi:10.3390/sym12111857 www.mdpi.com/journal/symmetry

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