Using GPS trajectories to create a dynamic network of significant locations as an abstraction of road maps

  • Authors:
  • Reinhard Stumptner;Bernhard Freudenthaler;Jürgen Hönigl;Karl Rehrl;Josef Küng

  • Affiliations:
  • Institute for Application-oriented Knowledge Processing, Johannes Kepler University, Linz, Austria;Software Competence Center Hagenberg, Hagenberg, Austria;Institute for Application-oriented Knowledge Processing, Johannes Kepler University, Linz, Austria;Salzburg Research Forschungsgesellschaft m.b.H., Salzburg, Austria;Institute for Application-oriented Knowledge Processing, Johannes Kepler University, Linz, Austria

  • Venue:
  • EUROCAST'11 Proceedings of the 13th international conference on Computer Aided Systems Theory - Volume Part I
  • Year:
  • 2011

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Abstract

This contribution discusses an approach on finding significant locations from a set of GPS tracks, called Hotspots in this contribution. Based on that, a model where traffic infrastructure is represented by a dynamic network of Hotspots is suggested. Besides the location of Hotspots, information about travel times between these Hotspot-Nodes also comes along with the extracted significant places. This information can be used to improve or enrich traffic management and/or navigation systems by consequently achieving a more precise estimation of travel times compared to current systems.