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Coordinated Schematization for Visualizing Mobility Patterns on Networks

Authors Bram Custers , Wouter Meulemans , Bettina Speckmann , Kevin Verbeek



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Author Details

Bram Custers
  • Eindhoven University of Technology, The Netherlands
Wouter Meulemans
  • Eindhoven University of Technology, The Netherlands
Bettina Speckmann
  • Eindhoven University of Technology, The Netherlands
Kevin Verbeek
  • Eindhoven University of Technology, The Netherlands

Acknowledgements

We would like to thank HERE Technologies for providing the HR dataset.

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Bram Custers, Wouter Meulemans, Bettina Speckmann, and Kevin Verbeek. Coordinated Schematization for Visualizing Mobility Patterns on Networks. In 11th International Conference on Geographic Information Science (GIScience 2021) - Part II. Leibniz International Proceedings in Informatics (LIPIcs), Volume 208, pp. 7:1-7:16, Schloss Dagstuhl - Leibniz-Zentrum für Informatik (2021)
https://doi.org/10.4230/LIPIcs.GIScience.2021.II.7

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.

Subject Classification

ACM Subject Classification
  • Theory of computation → Computational geometry
Keywords
  • Trajectories
  • Visualization
  • Schematization

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