Updated traffic noise map method based on speed cluster

Xue, Wang-Xing; Huang, Zhaofeng; Zhao, Bangtao; Yang, Weijun; Lan, Ziqin; Cai, Ming

doi:10.1016/j.apacoust.2020.107818

Cited by 7 publications

(2 citation statements)

References 26 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…The results showed that the obtained clusters have a geographical meaning, as they correspond to locations close to high traffic roads, residential areas or leisure areas, respectively. Other studies, as [18], start with an approximation of road classification based on the road design and the traffic speed data. Subsequently, the equivalent noise levels of all the roads is included in the clustering.…”

Section: Related Workmentioning

confidence: 99%

“…In [16], the presence of acoustic events is included in the analysis, by considering their impact merged with RTN levels through the intermittency ratio (IR). Other studies, such as [17,18] also consider L Aeq curves with different analysis window sizes, together with other parameters, such as traffic speed data, to complement the equivalent noise levels and complete the classification of the monitored acoustic environments. However, these studies focus on high-level features (e.g., L Aeq and IR) to analyse the acoustic environments of interest.…”

Section: Introductionmentioning

confidence: 99%

See 1 more Smart Citation

WASN-Based Spectro-Temporal Analysis and Clustering of Road Traffic Noise in Urban and Suburban Areas

2022

View full text Add to dashboard Cite

Environmental noise has become one of the principal health risks for urban dwellers and road traffic noise (RTN) is considered to be the main source of these adverse effects. To address this problem, strategic noise maps and corresponding action plans have been developed throughout Europe in recent years in response to the European Noise Directive 2002/49/EC (END), especially in populated cities. Recently, wireless acoustic sensor networks (WASNs) have started to serve as an alternative to static noise maps to monitor urban areas by gathering environmental noise data in real time. Several studies have analysed and categorized the different acoustic environments described in the END (e.g., traffic, industrial, leisure, etc.). However, most of them have only considered the dynamic evolution of the A-weighted equivalent noise levels LAeq over different periods of time. In order to focus on the analysis of RTN solely, this paper introduces a clustering methodology to analyse and group spectro-temporal profiles of RTN collected simultaneously across an area of interest. The experiments were conducted on two acoustic databases collected during a weekday and a weekend day through WASNs deployed in the pilot areas of the LIFE+ DYNAMAP project. The results obtained show that the clustering of RTN, based on its spectro-temporal patterns, yields different solutions on weekdays and at weekends in both environments, being larger than those found in the suburban environment and lower than the number of clusters in the urban scenario.

show abstract

Section: Related Workmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

WASN-Based Spectro-Temporal Analysis and Clustering of Road Traffic Noise in Urban and Suburban Areas

2022

View full text Add to dashboard Cite

show abstract

Spatial Analysis of Noise Contour Maps Based on Traffic Speed Using Predictor-LimA Software

El-Bardisy,

Elshater,

Afifi

et al. 2024

Advances in Science, Technology &Amp; Innovation

View full text Add to dashboard Cite

Use of noise prediction models for road noise mapping in locations that do not have a standardized model: a short systematic review

Meller

Lourenço

Melo

et al. 2023

Environ Monit Assess

View full text Add to dashboard Cite

Faced with the accelerated growth of cities and the consequent increase in the number of motor vehicles, urban noise levels caused by vehicular traffic have increased considerably. To assess noise levels in cities and implement noise control measures or identify the problem’s location in different urban areas, it is necessary to obtain the noise levels to which people are exposed. Noise maps are tools that have applications as they are cartographic representations of the noise level distribution in an area and over a period of time. This article aims to identify, select, evaluate, and synthesize information, through a systematic literature review, on using different road noise prediction models, in sound mapping computer programs in countries that do not have a standard noise prediction model. The analysis period was from 2018 to 2022. From a previous analysis of articles, the choice of topic was based on identifying various models for predicting road noise in countries without a standardized sound mapping model. The papers compiled by a systematic literature review showed that studies concentrated in China, Brazil, and Ecuador, the most used traffic noise prediction models, were the RLS-90 and the NMPB, and the most used mapping programs were SoundPLAN and ArcGIS with a grid size of 10 × 10 m. Most measurements were carried out during a 15-min period at a height from the ground level of 1.5 m. In addition, it was observed that research on noise maps in countries that do not have a local model has been increasing over time.

show abstract

Updated traffic noise map method based on speed cluster

Cited by 7 publications

References 26 publications

WASN-Based Spectro-Temporal Analysis and Clustering of Road Traffic Noise in Urban and Suburban Areas

WASN-Based Spectro-Temporal Analysis and Clustering of Road Traffic Noise in Urban and Suburban Areas

Spatial Analysis of Noise Contour Maps Based on Traffic Speed Using Predictor-LimA Software

Use of noise prediction models for road noise mapping in locations that do not have a standardized model: a short systematic review

Contact Info

Product

Resources

About