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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van Dijk, T.C., Haunert, JH. (2013). A Probabilistic Model for Road Selection in Mobile Maps. In: Liang, S.H.L., Wang, X., Claramunt, C. (eds) Web and Wireless Geographical Information Systems. W2GIS 2013. Lecture Notes in Computer Science, vol 7820. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-37087-8_16
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DOI: https://doi.org/10.1007/978-3-642-37087-8_16
Publisher Name: Springer, Berlin, Heidelberg
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