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A Probabilistic Model for Road Selection in Mobile Maps
[chapter]
2013
Lecture Notes in Computer Science
Mobile devices provide an interesting context for map drawing. This paper presents a novel road-selection algorithm based on Page-Rank, 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 algorithms handles a sizable map in approximately a quarter of a second on a desktop PC. Therefore, our
doi:10.1007/978-3-642-37087-8_16
fatcat:5mwehrbutfg55m65hvemmfhycm