Abstract
We present a new way of analyzing Contraction Hierarchies (CH), a widely used speed-up technique for shortest path computations in road networks. In previous work, preprocessing and query times of deterministically constructed CH on road networks with n nodes were shown to be polynomial in n as well as the highway dimension h of the network and its diameter D. While h is conjectured to be polylogarithmic for road networks, a tight bound remains an open problem. We rely on the empirically justifiable assumption of the road network exhibiting small growth. We introduce a method to construct randomized Contraction Hierarchies on road networks as well as a probabilistic query routine. Our analysis reveals that randomized CH lead to sublinear search space sizes in the order of \(\sqrt{n} \log \sqrt{n}\), auxiliary data in the order of \(n \log ^2 \sqrt{n}\), and correct query results with high probability after a polynomial time preprocessing phase.
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Funke, S., Storandt, S. (2015). Provable Efficiency of Contraction Hierarchies with Randomized Preprocessing. In: Elbassioni, K., Makino, K. (eds) Algorithms and Computation. ISAAC 2015. Lecture Notes in Computer Science(), vol 9472. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-662-48971-0_41
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DOI: https://doi.org/10.1007/978-3-662-48971-0_41
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