Many existing solutions focus on point-to-point shortest-path queries in road networks. In contrast, only few contributions address the related single-source shortest-path problem, i.e., finding shortest-path distances from a single source s to all other graph vertices. This work extends graph separator methods to handle this specific problem and its one-to-many variant, i.e., calculating the shortest path distances from a single source to a set of targets T⊆V. This novel family of so-called GRASP algorithms provides exceptional preprocessing times, making them suitable for dynamic travel time scenarios. GRASP algorithms also efficiently solve range / isochrone queries not handled by previous approaches. © 2014 Springer-Verlag Berlin Heidelberg.
CITATION STYLE
Efentakis, A., & Pfoser, D. (2014). GRASP. Extending graph separators for the single-source shortest-path problem. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 8737 LNCS, pp. 358–370). Springer Verlag. https://doi.org/10.1007/978-3-662-44777-2_30
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