Volume 43 Issue 11
Nov.  2018
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YANG Wei, AI Tinghua. Extracting Arterial Road Polygon from OpenStreetMap Data Based on Delaunay Triangulation[J]. Geomatics and Information Science of Wuhan University, 2018, 43(11): 1725-1731. DOI: 10.13203/j.whugis20160294
Citation: YANG Wei, AI Tinghua. Extracting Arterial Road Polygon from OpenStreetMap Data Based on Delaunay Triangulation[J]. Geomatics and Information Science of Wuhan University, 2018, 43(11): 1725-1731. DOI: 10.13203/j.whugis20160294
shu

Extracting Arterial Road Polygon from OpenStreetMap Data Based on Delaunay Triangulation

  • 1.

    School of Resource and Environmental Sciences, Wuhan University, Wuhan 430079, China

Funds: 

The National Natural Science Foundation of China 41531180

More Information
  • Author Bio:

    YANG Wei, PhD candidate, specializes in spatial-temporal data mining and visualization.E-mail:ywgismap@whu.edu.cn

  • Corresponding author:

    AI Tinghua, PhD, professor.E-mail:tinghua_ai@tom.com

  • Received Date: July 16, 2017
  • Published Date: November 04, 2018
    Graphical Abstract
    • Abstract
  • The data quality problems of OpenStreetMap(OSM) data, which is a typical kind of volunteered geographic information data, restrict the extraction of arterial road. Firstly, this paper presents a method to identify the morphological feature of arterial road through calculating road line density change rate and length of edges using Delaunay triangulation. Then the arterial road boundary identification model is established by integrating the two control conditions with different geometric dimensions. Finally, similar to forest fire spreading, a method of extraction arterial road polygon is proposed using Delaunay triangulation. An experiment based on OSM road data of 5 cities shows that this method achieves good and effective arterial road extraction results. Furthermore, a comparison analysis of roads attribute is also carried out to confirm the consistency between constructed road levels and experiment results.
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    • References (17)
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