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Synthetic Road Networks

  • Reinhard Bauer
  • Marcus Krug
  • Sascha Meinert
  • Dorothea Wagner
Part of the Lecture Notes in Computer Science book series (LNCS, volume 6124)

Abstract

The availability of large graphs that represent huge road networks has led to a vast amount of experimental research that has been custom-tailored for road networks. There are two primary reasons to investigate graph-generators that construct synthetic graphs similar to real-world road-networks: The wish to theoretically explain noticeable experimental results on these networks and to overcome the commercial nature of most datasets that limits scientific use. This is the first work that experimentally evaluates the practical applicability of such generators. To this end we propose a new generator and review the only existing one (which until now has not been tested experimentally). Both generators are examined concerning structural properties and algorithmic behavior. Although both generators prove to be reasonably good models, our new generator outperforms the existing one with respect to both structural properties and algorithmic behavior.

Keywords

Road Network Voronoi Diagram Speedup Technique Voronoi Region Algorithmic Behavior 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

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Copyright information

© Springer-Verlag Berlin Heidelberg 2010

Authors and Affiliations

  • Reinhard Bauer
    • 1
  • Marcus Krug
    • 1
  • Sascha Meinert
    • 1
  • Dorothea Wagner
    • 1
  1. 1.Karlsruhe Institute of Technology (KIT)Germany

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