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<front>
<journal-meta>
<journal-id journal-id-type="publisher">ISPRS-Archives</journal-id>
<journal-title-group>
<journal-title>The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences</journal-title>
<abbrev-journal-title abbrev-type="publisher">ISPRS-Archives</abbrev-journal-title>
<abbrev-journal-title abbrev-type="nlm-ta">Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci.</abbrev-journal-title>
</journal-title-group>
<issn pub-type="epub">2194-9034</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/isprsarchives-XL-1-W5-129-2015</article-id>
<title-group>
<article-title>GIS-BASED ROUTE FINDING USING ANT COLONY OPTIMIZATION AND URBAN TRAFFIC DATA FROM DIFFERENT SOURCES</article-title>
</title-group>
<contrib-group><contrib contrib-type="author" xlink:type="simple"><name name-style="western"><surname>Davoodi</surname>
<given-names>M.</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>Mesgari</surname>
<given-names>M. S.</given-names>
</name>
<xref ref-type="aff" rid="aff2">
<sup>2</sup>
</xref>
</contrib>
</contrib-group><aff id="aff1">
<label>1</label>
<addr-line>Geomatics Engineering, Faculty of Geodesy &amp; Geomatics Engineering, K. N. Toosi University of Technology, Tehran, Iran</addr-line>
</aff>
<aff id="aff2">
<label>2</label>
<addr-line>Faculty of Geodesy &amp;amp; Geomatics Engineering, K. N. Toosi University of Technology, Tehran, Iran</addr-line>
</aff>
<pub-date pub-type="epub">
<day>10</day>
<month>12</month>
<year>2015</year>
</pub-date>
<volume>XL-1/W5</volume>
<fpage>129</fpage>
<lpage>133</lpage>
<permissions>
<copyright-statement>Copyright: &#x000a9; 2015 M. Davoodi</copyright-statement>
<copyright-year>2015</copyright-year>
<license license-type="open-access">
<license-p>This work is licensed under the Creative Commons Attribution 3.0 Unported License. To view a copy of this licence, visit <ext-link ext-link-type="uri"  xlink:href="https://creativecommons.org/licenses/by/3.0/">https://creativecommons.org/licenses/by/3.0/</ext-link></license-p>
</license>
</permissions>
<self-uri xlink:href="https://isprs-archives.copernicus.org/articles/XL-1-W5/129/2015/isprs-archives-XL-1-W5-129-2015.html">This article is available from https://isprs-archives.copernicus.org/articles/XL-1-W5/129/2015/isprs-archives-XL-1-W5-129-2015.html</self-uri>
<self-uri xlink:href="https://isprs-archives.copernicus.org/articles/XL-1-W5/129/2015/isprs-archives-XL-1-W5-129-2015.pdf">The full text article is available as a PDF file from https://isprs-archives.copernicus.org/articles/XL-1-W5/129/2015/isprs-archives-XL-1-W5-129-2015.pdf</self-uri>
<abstract>
<p>Nowadays traffic data is obtained from multiple sources including GPS, Video Vehicle Detectors (VVD), Automatic Number Plate Recognition (ANPR), Floating Car Data (FCD), VANETs, etc. All such data can be used for route finding. This paper proposes a model for finding the optimum route based on the integration of traffic data from different sources. Ant Colony Optimization is applied in this paper because the concept of this method (movement of ants in a network) is similar to urban road network and movements of cars. The results indicate that this model is capable of incorporating data from different sources, which may even be inconsistent.</p>
</abstract>
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