Distance oracles for time-dependent networks

9Citations
Citations of this article
18Readers
Mendeley users who have this article in their library.
Get full text

Abstract

We present the first approximate distance oracle for sparse directed networks with time-dependent arc-travel-times determined by continuous, piecewise linear, positive functions possessing the FIFO property. Our approach precomputes (1 + ε)-approximate distance summaries from selected landmark vertices to all other vertices in the network, and provides two sublinear-time query algorithms that deliver constant and (1 + σ)-approximate shortest-travel-times, respectively, for arbitrary origin-destination pairs in the network. Our oracle is based only on the sparsity of the network, along with two quite natural assumptions about travel-time functions which allow the smooth transition towards asymmetric and time-dependent distance metrics. © 2014 Springer-Verlag.

Cite

CITATION STYLE

APA

Kontogiannis, S., & Zaroliagis, C. (2014). Distance oracles for time-dependent networks. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 8572 LNCS, pp. 713–725). Springer Verlag. https://doi.org/10.1007/978-3-662-43948-7_59

Register to see more suggestions

Mendeley helps you to discover research relevant for your work.

Already have an account?

Save time finding and organizing research with Mendeley

Sign up for free