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• W4315705301 abstract "Previous chapter Next chapter Full AccessProceedings 2023 Proceedings of the Symposium on Algorithm Engineering and Experiments (ALENEX)Applying Skeletons to Speed Up the Arc-Flags Routing AlgorithmIvan Khomutovskiy, Rebekka Dunker, Jessica Dierking, Julian Egbert, Christian Helms, Finn Schöllkopf, Katrin Casel, Philipp Fischbeck, Tobias Friedrich, Davis Isaac, Simon Krogmann, and Pascal LenznerIvan Khomutovskiy, Rebekka Dunker, Jessica Dierking, Julian Egbert, Christian Helms, Finn Schöllkopf, Katrin Casel, Philipp Fischbeck, Tobias Friedrich, Davis Isaac, Simon Krogmann, and Pascal Lenznerpp.110 - 122Chapter DOI:https://doi.org/10.1137/1.9781611977561.ch10PDFBibTexSections ToolsAdd to favoritesExport CitationTrack CitationsEmail SectionsAboutAbstract The Single-Source Shortest Path problem is classically solved by applying Dijkstra's algorithm. However, the plain version of this algorithm is far too slow for real-world applications such as routing in large road networks. To amend this, many speed-up techniques have been developed that build on the idea of computing auxiliary data in a preprocessing phase, that is used to speed up the queries. One well-known example is the Arc-Flags algorithm that is based on the idea of precomputing edge flags to make the search more goal-directed. To explain the strong practical performance of such speed-up techniques, several graph parameters have been introduced. The skeleton dimension is one such parameter that has already been used to derive runtime bounds for some speed-up techniques. Moreover, it was experimentally shown to be low in real-world road networks. We introduce a method to incorporate skeletons, the underlying structure behind the skeleton dimension, to improve routing speed-up techniques even further. As a proof of concept, we develop new algorithms called SKARF and SKARF+ that combine skeletons with Arc-Flags, and demonstrate via extensive experiments on large real-world road networks that SKARF+ yields a significant reduction of the search space and the query time of about 30% to 40% over Arc-Flags. We also prove theoretical bounds on the query time of SKARF, which is the first time an Arc-Flags variant has been analyzed in terms of skeleton dimension. Previous chapter Next chapter RelatedDetails Published:2023eISBN:978-1-61197-756-1 https://doi.org/10.1137/1.9781611977561Book Series Name:ProceedingsBook Code:PRAL23Book Pages:iii-213" @default.
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• W4315705301 title "Applying Skeletons to Speed Up the Arc-Flags Routing Algorithm" @default.
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