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A Probabilistic Model for Road Selection in Mobile Maps

  • Thomas C. van Dijk
  • Jan-Henrik Haunert
Part of the Lecture Notes in Computer Science book series (LNCS, volume 7820)

Abstract

Mobile devices provide an interesting context for map drawing. This paper presents a novel road-selection algorithm based on PageRank, the algorithm famously used by Google to rank web pages by importance. Underlying the PageRank calculation is a probabilistic model of user behavior. We provide suitable generalizations of this model to road networks. Our implementation of the proposed algorithm handles a sizable map in approximately a tenth of a second on a desktop PC. Therefore, our methods should be feasible on modern mobile devices.

Keywords

mobile maps generalization wayfinding PageRank 

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Copyright information

© Springer-Verlag Berlin Heidelberg 2013

Authors and Affiliations

  • Thomas C. van Dijk
    • 1
  • Jan-Henrik Haunert
    • 1
  1. 1.Chair for Computer Science IUniversity of WürzburgWürzburgGermany

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