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A Probabilistic Model for Road Selection in Mobile Maps

, and . Web and Wireless Geographical Information Systems, volume 7820 of Lecture Notes in Computer Science, Springer Berlin Heidelberg, (2013)
DOI: 10.1007/978-3-642-37087-8_16

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.

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