<?xml version="1.0" encoding="UTF-8"?>
<!DOCTYPE article PUBLIC "-//NLM//DTD Journal Publishing DTD v3.0 20080202//EN" "https://jats.nlm.nih.gov/nlm-dtd/publishing/3.0/journalpublishing3.dtd">
<article xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink" article-type="research-article" dtd-version="3.0" xml:lang="en">
<front>
<journal-meta>
<journal-id journal-id-type="publisher">ISPRS-Archives</journal-id>
<journal-title-group>
<journal-title>ISPRS - 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/isprs-archives-XLI-B4-71-2016</article-id>
<title-group>
<article-title>ROAD NETWORK GENERALIZATION BASED ON FLOAT CAR TRACKING</article-title>
</title-group>
<contrib-group><contrib contrib-type="author" xlink:type="simple"><name name-style="western"><surname>Zhou</surname>
<given-names>Cheng</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>Li</surname>
<given-names>Wenjing</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>Jia</surname>
<given-names>Hongguo</given-names>
</name>
<xref ref-type="aff" rid="aff2">
<sup>2</sup>
</xref>
</contrib>
</contrib-group><aff id="aff1">
<label>1</label>
<addr-line>College of Resource and Environment, Wuhan University of Science and Technology, China</addr-line>
</aff>
<aff id="aff2">
<label>2</label>
<addr-line>Southwest Jiaotong University, China</addr-line>
</aff>
<pub-date pub-type="epub">
<day>10</day>
<month>06</month>
<year>2016</year>
</pub-date>
<volume>XLI-B4</volume>
<fpage>71</fpage>
<lpage>77</lpage>
<permissions>
<license license-type="open-access">
<license-p/>
</license>
</permissions>
<self-uri xlink:href="https://isprs-archives.copernicus.org/articles/isprs-archives-XLI-B4-71-2016.html">This article is available from https://isprs-archives.copernicus.org/articles/isprs-archives-XLI-B4-71-2016.html</self-uri>
<self-uri xlink:href="https://isprs-archives.copernicus.org/articles/isprs-archives-XLI-B4-71-2016.pdf">The full text article is available as a PDF file from https://isprs-archives.copernicus.org/articles/isprs-archives-XLI-B4-71-2016.pdf</self-uri>
<abstract>
<p>Road generalization is not only helpful to simplify complicated road networks but can also satisfy the needs of reasonable display of
roads under varying scales, thus offering basis for updating and grading urban roads. This paper proposes a selection method for road
network generalization by integrating road-associated vehicle trajectory dynamic properties and road features and calculating the
importance of urban roads. First of all, the location and motion information of floating vehicles are associated to relevant roads to
generate the dynamic properties of roads. Then, the dynamic and static properties of roads are analyzed, and the cluster analysis is
conducted to the trajectory points at road intersections to obtain the importance of some road intersections there are vehicles passing
by. Afterwards, the weights of roads are calculated using the dominance rough set, the roads are ranked by weight and the practical
significance of ranking results is analyzed. Finally, the selection rules for the basic framework of road network are determined to
meet with different requirements and guarantee both connectivity and completeness of road networks. The results show that the
relative importance of roads is made clear by taking advantage of the rough set and the generalized road network highlights the
distribution and connection of urban main roads.</p>
</abstract>
<counts><page-count count="7"/></counts>
</article-meta>
</front>
<body/>
<back>
</back>
</article>
