A Probabilistic Model for Road Selection in Mobile Maps
T. van Dijk, and J. Haunert. 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.
%0 Book Section
%1 noKey
%A van Dijk, Thomas C.
%A Haunert, Jan-Henrik
%B Web and Wireless Geographical Information Systems
%D 2013
%E Liang, Steve H.L.
%E Wang, Xin
%E Claramunt, Christophe
%I Springer Berlin Heidelberg
%K myown
%P 214-222
%R 10.1007/978-3-642-37087-8_16
%T A Probabilistic Model for Road Selection in Mobile Maps
%U http://dx.doi.org/10.1007/978-3-642-37087-8_16
%V 7820
%X 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.
%@ 978-3-642-37086-1
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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.},
added-at = {2014-10-14T13:50:19.000+0200},
author = {van Dijk, Thomas C. and Haunert, Jan-Henrik},
biburl = {https://www.bibsonomy.org/bibtex/248f871dada493c8f3cf40c69258bbe7e/thomasd},
booktitle = {Web and Wireless Geographical Information Systems},
description = {Best Short Presentation award.},
doi = {10.1007/978-3-642-37087-8_16},
editor = {Liang, Steve H.L. and Wang, Xin and Claramunt, Christophe},
interhash = {93e2f49874f7770b02fd4dad03607243},
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isbn = {978-3-642-37086-1},
keywords = {myown},
language = {English},
pages = {214-222},
publisher = {Springer Berlin Heidelberg},
series = {Lecture Notes in Computer Science},
timestamp = {2014-10-14T14:39:27.000+0200},
title = {A Probabilistic Model for Road Selection in Mobile Maps},
url = {http://dx.doi.org/10.1007/978-3-642-37087-8_16},
volume = 7820,
year = 2013
}