Three-dimensional visualisation of traffic noise based on the Henk de-Klujijver model

IF 1.7 Q2 ACOUSTICS

Noise Mapping Pub Date : 2023-01-01 DOI:10.1515/noise-2022-0170

N. Wickramathilaka, U. Ujang, S. Azri, T. Choon

{"title":"Three-dimensional visualisation of traffic noise based on the Henk de-Klujijver model","authors":"N. Wickramathilaka, U. Ujang, S. Azri, T. Choon","doi":"10.1515/noise-2022-0170","DOIUrl":null,"url":null,"abstract":"Abstract Visualisation of road traffic noise is vital for traffic noise planning policies. Several factors affect the noise from road traffic with physical and environmental conditions. Collecting noise levels around the world is not a possible task. Therefore, calculating noise levels by a valid noise model, and spatial interpolations, is prime to traffic noise visualisation. In this study, the Henk de Klujijver noise model is used. Designing noise observation points (Nops) embedding with a three-dimensional (3D) building model and identifying the best suitable spatial interpolation are important to visualise the traffic noise accurately. However, interpolating noise in 3D space (vertical direction) is a more complex process than interpolating in two-dimensional (2D) space. Flat triangles should be eliminated in the vertical direction. Therefore, the structure of Nop has a major influence on spatial interpolation. Triangular Irregular Network (TIN) interpolation is more accurate for visualising traffic noise as 3D noise contours than Inverse Distance Weighted and kriging. Although kriging is vital to visualise noise as raster formats in 2D space. The 3D kriging in Empirical Bayesian shows a 3D voxel visualisation with higher accuracy than 3D TIN noise contours.","PeriodicalId":44086,"journal":{"name":"Noise Mapping","volume":"10 1","pages":""},"PeriodicalIF":1.7000,"publicationDate":"2023-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Noise Mapping","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1515/noise-2022-0170","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q2","JCRName":"ACOUSTICS","Score":null,"Total":0}

引用次数: 0

Abstract

Abstract Visualisation of road traffic noise is vital for traffic noise planning policies. Several factors affect the noise from road traffic with physical and environmental conditions. Collecting noise levels around the world is not a possible task. Therefore, calculating noise levels by a valid noise model, and spatial interpolations, is prime to traffic noise visualisation. In this study, the Henk de Klujijver noise model is used. Designing noise observation points (Nops) embedding with a three-dimensional (3D) building model and identifying the best suitable spatial interpolation are important to visualise the traffic noise accurately. However, interpolating noise in 3D space (vertical direction) is a more complex process than interpolating in two-dimensional (2D) space. Flat triangles should be eliminated in the vertical direction. Therefore, the structure of Nop has a major influence on spatial interpolation. Triangular Irregular Network (TIN) interpolation is more accurate for visualising traffic noise as 3D noise contours than Inverse Distance Weighted and kriging. Although kriging is vital to visualise noise as raster formats in 2D space. The 3D kriging in Empirical Bayesian shows a 3D voxel visualisation with higher accuracy than 3D TIN noise contours.

查看原文本刊更多论文

基于Henk-de-Klujijver模型的交通噪声三维可视化

摘要道路交通噪声的可视化对于交通噪声规划政策至关重要。影响道路交通噪声的因素包括物理和环境条件。收集世界各地的噪音水平是不可能的任务。因此，通过有效的噪声模型和空间插值来计算噪声水平是交通噪声可视化的首要条件。在本研究中，使用了Henk-de-Klujijver噪声模型。设计嵌入三维建筑模型的噪声观测点并确定最合适的空间插值对于准确地可视化交通噪声非常重要。然而，在3D空间（垂直方向）中插值噪声是比在二维（2D）空间中插值更复杂的过程。应消除垂直方向上的平三角形。因此，Nop的结构对空间插值有着重要的影响。三角不规则网络（TIN）插值在将交通噪声可视化为3D噪声轮廓方面比反向距离加权和克里格更准确。尽管克里格法对于将噪声可视化为2D空间中的光栅格式至关重要。经验贝叶斯中的3D克里格显示了比3D TIN噪声轮廓具有更高精度的3D体素可视化。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

求助全文

约1分钟内获得全文求助全文

来源期刊

Noise Mapping ACOUSTICS-

CiteScore

7.80

自引率

17.90%

发文量

审稿时长

12 weeks

期刊介绍： Ever since its inception, Noise Mapping has been offering fast and comprehensive peer-review, while featuring prominent researchers among its Advisory Board. As a result, the journal is set to acquire a growing reputation as the main publication in the field of noise mapping, thus leading to a significant Impact Factor. The journal aims to promote and disseminate knowledge on noise mapping through the publication of high quality peer-reviewed papers focusing on the following aspects: noise mapping and noise action plans: case studies; models and algorithms for source characterization and outdoor sound propagation: proposals, applications, comparisons, round robin tests; local, national and international policies and good practices for noise mapping, planning, management and control; evaluation of noise mitigation actions; evaluation of environmental noise exposure; actions and communications to increase public awareness of environmental noise issues; outdoor soundscape studies and mapping; classification, evaluation and preservation of quiet areas.