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<front>
<journal-meta>
<journal-id journal-id-type="publisher">ISPRS-Annals</journal-id>
<journal-title-group>
<journal-title>ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences</journal-title>
<abbrev-journal-title abbrev-type="publisher">ISPRS-Annals</abbrev-journal-title>
<abbrev-journal-title abbrev-type="nlm-ta">ISPRS Ann. Photogramm. Remote Sens. Spatial Inf. Sci.</abbrev-journal-title>
</journal-title-group>
<issn pub-type="epub">2194-9050</issn>
<publisher><publisher-name>Copernicus Publications</publisher-name>
<publisher-loc>Göttingen, Germany</publisher-loc>
</publisher>
</journal-meta>
<article-meta>
<article-id pub-id-type="doi">10.5194/isprs-annals-IV-4-W5-73-2017</article-id>
<title-group>
<article-title>MODELLING URBAN NOISE IN CITYGML ADE: CASE OF THE NETHERLANDS</article-title>
</title-group>
<contrib-group><contrib contrib-type="author" xlink:type="simple"><name name-style="western"><surname>Kumar</surname>
<given-names>K.</given-names>
</name>
<xref ref-type="aff" rid="aff1">
<sup>1</sup>
</xref>
</contrib>
<contrib contrib-type="author" xlink:type="simple"><name name-style="western"><surname>Ledoux</surname>
<given-names>H.</given-names>
</name>
<xref ref-type="aff" rid="aff1">
<sup>1</sup>
</xref>
</contrib>
<contrib contrib-type="author" xlink:type="simple"><name name-style="western"><surname>Commandeur</surname>
<given-names>T. J. F.</given-names>
</name>
<xref ref-type="aff" rid="aff1">
<sup>1</sup>
</xref>
</contrib>
<contrib contrib-type="author" xlink:type="simple"><name name-style="western"><surname>Stoter</surname>
<given-names>J. E.</given-names>
</name>
<xref ref-type="aff" rid="aff1">
<sup>1</sup>
</xref>
</contrib>
</contrib-group><aff id="aff1">
<label>1</label>
<addr-line>3D Geoinformation, Delft University of Technology, the Netherlands</addr-line>
</aff>
<pub-date pub-type="epub">
<day>23</day>
<month>10</month>
<year>2017</year>
</pub-date>
<volume>IV-4/W5</volume>
<fpage>73</fpage>
<lpage>81</lpage>
<permissions>
<copyright-statement>Copyright: &#x000a9; 2017 K. Kumar et al.</copyright-statement>
<copyright-year>2017</copyright-year>
<license license-type="open-access">
<license-p>This work is licensed under the Creative Commons Attribution 4.0 International License. To view a copy of this licence, visit <ext-link ext-link-type="uri"  xlink:href="https://creativecommons.org/licenses/by/4.0/">https://creativecommons.org/licenses/by/4.0/</ext-link></license-p>
</license>
</permissions>
<self-uri xlink:href="https://isprs-annals.copernicus.org/articles/IV-4-W5/73/2017/isprs-annals-IV-4-W5-73-2017.html">This article is available from https://isprs-annals.copernicus.org/articles/IV-4-W5/73/2017/isprs-annals-IV-4-W5-73-2017.html</self-uri>
<self-uri xlink:href="https://isprs-annals.copernicus.org/articles/IV-4-W5/73/2017/isprs-annals-IV-4-W5-73-2017.pdf">The full text article is available as a PDF file from https://isprs-annals.copernicus.org/articles/IV-4-W5/73/2017/isprs-annals-IV-4-W5-73-2017.pdf</self-uri>
<abstract>
<p>Road traffic and industrial noise has become a major source of discomfort and annoyance among the residents in urban areas. More
than 44&amp;thinsp;% of the EU population is regularly exposed to road traffic noise levels over 55 dB, which is currently the maximum accepted
value prescribed by the Environmental Noise Directive for road traffic noise. With continuously increasing population and number of
motor vehicles and industries, it is very unlikely to hope for noise levels to diminish in the near future. Therefore, it is necessary to
monitor urban noise, so as to make mitigation plans and to deal with its adverse effects. The 2002/49/EC Environmental Noise Directive
aims to determine the exposure of an individual to environmental noise through noise mapping. One of the most important steps in
noise mapping is the creation of input data for simulation. At present, it is done semi-automatically (and sometimes even manually)
by different companies in different ways and is very time consuming and can lead to errors in the data. In this paper, we present our
approach for automatically creating input data for noise simulations. Secondly, we focus on using 3D city models for presenting the
results of simulation for the noise arising from road traffic and industrial activities in urban areas. We implemented a few noise modelling
standards for industrial and road traffic noise in CityGML by extending the existing Noise ADE with new objects and attributes. This
research is a steping stone in the direction of standardising the input and output data for noise studies and for reconstructing the 3D data
accordingly.</p>
</abstract>
<counts><page-count count="9"/></counts>
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