License: Creative Commons Attribution 4.0 International license (CC BY 4.0)
When quoting this document, please refer to the following
DOI: 10.4230/LIPIcs.GIScience.2021.II.7
URN: urn:nbn:de:0030-drops-147665
URL: http://dagstuhl.sunsite.rwth-aachen.de/volltexte/2021/14766/
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Custers, Bram ; Meulemans, Wouter ; Speckmann, Bettina ; Verbeek, Kevin

Coordinated Schematization for Visualizing Mobility Patterns on Networks

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LIPIcs-GIScience-2021-II-7.pdf (6 MB)


Abstract

GPS trajectories of vehicles moving on a road network are a valuable source of traffic information. However, the sheer volume of available data makes it challenging to identify and visualize salient patterns. Meaningful visual summaries of trajectory collections require that both the trajectories and the underlying network are aggregated and simplified in a coherent manner. In this paper we propose a coordinated fully-automated pipeline for computing a schematic overview of mobility patterns from a collection of trajectories on a street network. Our pipeline utilizes well-known building blocks from GIS, automated cartography, and trajectory analysis: map matching, road selection, schematization, movement patterns, and metro-map style rendering. We showcase the results of our pipeline on two real-world trajectory collections around The Hague and Beijing.

BibTeX - Entry

@InProceedings{custers_et_al:LIPIcs.GIScience.2021.II.7,
  author =	{Custers, Bram and Meulemans, Wouter and Speckmann, Bettina and Verbeek, Kevin},
  title =	{{Coordinated Schematization for Visualizing Mobility Patterns on Networks}},
  booktitle =	{11th International Conference on Geographic Information Science (GIScience 2021) - Part II},
  pages =	{7:1--7:16},
  series =	{Leibniz International Proceedings in Informatics (LIPIcs)},
  ISBN =	{978-3-95977-208-2},
  ISSN =	{1868-8969},
  year =	{2021},
  volume =	{208},
  editor =	{Janowicz, Krzysztof and Verstegen, Judith A.},
  publisher =	{Schloss Dagstuhl -- Leibniz-Zentrum f{\"u}r Informatik},
  address =	{Dagstuhl, Germany},
  URL =		{https://drops.dagstuhl.de/opus/volltexte/2021/14766},
  URN =		{urn:nbn:de:0030-drops-147665},
  doi =		{10.4230/LIPIcs.GIScience.2021.II.7},
  annote =	{Keywords: Trajectories, Visualization, Schematization}
}

Keywords: Trajectories, Visualization, Schematization
Collection: 11th International Conference on Geographic Information Science (GIScience 2021) - Part II
Issue Date: 2021
Date of publication: 14.09.2021
Supplementary Material: Software (Source code): https://github.com/tue-alga/CoordinatedSchematization archived at: https://archive.softwareheritage.org/swh:1:dir:a04dfee52bf07c76d37ac692bc17450feec728df


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