From Early to Recent Models: A Review of the Evolution of Road Traffic and Single Vehicles Noise Emission Modelling

IF 6.4 2区 环境科学与生态学 Q1 ENVIRONMENTAL SCIENCES Current Pollution Reports Pub Date : 2024-07-30 DOI:10.1007/s40726-024-00319-5
Claudio Guarnaccia, Aurora Mascolo, Pierre Aumond, Arnaud Can, Domenico Rossi
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Abstract

Purpose of the Review

This paper is devoted to the review of the most popular literature Road Traffic Noise Models (RTNMs) frameworks, from the oldest ones to the recent machine learning techniques. A dedicated section is reserved to the review of Noise Emission Models (NEMs), with specific focus on approaches that allow the assessment of single vehicles’ emissions. Finally, some propagation models are also briefly presented, along with the assessment of the impact on the population of road traffic noise, in terms of time-averaged indicators and exposure descriptors.

Recent Findings

In recent years, many efforts have been devoted to developing methods and models to assess the impact of environmental noise. Considering the primary role of road traffic as a noise source, estimating its impact is fundamental when evaluating the acoustic environment of a specific urban area. The scope of RTNMs is to provide an assessment of the noise emitted by the source in terms of traffic flows, propagate it at any desired point, including possible corrective factors, assess the impact at the receiver, and use this information to provide maps and other useful outputs.

Summary

This review summarizes the so-far developed approaches for road traffic noise evaluation and furthermore underscores the ongoing necessity for research to develop more precise tools useful for managing road traffic noise’s adverse effects on urban environments and public well-being. Challenges and limitations of such models are discussed in the conclusions, highlighting the need for providing high quality input data and avoiding site-dependent approaches.

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从早期模型到最新模型:道路交通和单车噪声排放模型演变回顾
综述目的 本文致力于综述最流行的道路交通噪声模型(RTNMs)框架文献,从最古老的模型到最新的机器学习技术。本文还专门用一个章节对噪声排放模型(NEMs)进行了综述,重点介绍了可以评估单个车辆排放的方法。最后,还简要介绍了一些传播模型,以及从时间平均指标和暴露描述符的角度评估道路交通噪声对人群的影响。考虑到道路交通作为噪声源的主要作用,在评估特定城市地区的声学环境时,估算其影响至关重要。RTNM 的范围是根据交通流量对噪声源发出的噪声进行评估,将其传播到任何需要的点,包括可能的修正因素,评估接收器的影响,并利用这些信息提供地图和其他有用的输出。结论中讨论了此类模型面临的挑战和局限性,强调了提供高质量输入数据和避免依赖场地方法的必要性。
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来源期刊
Current Pollution Reports
Current Pollution Reports Environmental Science-Water Science and Technology
CiteScore
12.10
自引率
1.40%
发文量
31
期刊介绍: Current Pollution Reports provides in-depth review articles contributed by international experts on the most significant developments in the field of environmental pollution.By presenting clear, insightful, balanced reviews that emphasize recently published papers of major importance, the journal elucidates current and emerging approaches to identification, characterization, treatment, management of pollutants and much more.
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