Highway Dimension: a Metric View

Andreas Emil Feldmann, Arnold Filtser

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

Abstract

Realistic metric spaces (such as road/transportation networks) tend to be much more tractable then general metrics. In an attempt to formalize this intuition, Abraham et. al. (SODA 2010, JACM 2016) introduced the notion of highway dimension. A weighted graph G has highway dimension h if for every ball B of radius ≈ 4r there is a hitting set of size h hitting all the shortest paths of length > r in B. Unfortunately, this definition fails to incorporate some very natural metric spaces such as the grid graph, and the Euclidean plane. We relax the definition of highway dimension by demanding to hit only approximate shortest paths. In addition to generalizing the original definition, this new definition also incorporates all doubling spaces (in particular the grid graph and the Euclidean plane). We then construct a PTAS for TSP under this new definition (improving a QPTAS w.r.t. the original more restrictive definition of Feldmann et. al. (SICOMP 2018)). Finally, we develop a basic metric toolkit for spaces with small highway dimension by constructing padded decompositions, sparse covers/partitions, and tree covers. An abundance of applications follow.

Original languageEnglish
Title of host publicationAnnual ACM-SIAM Symposium on Discrete Algorithms, SODA 2025
PublisherAssociation for Computing Machinery
Pages3267-3276
Number of pages10
ISBN (Electronic)9798331312008
StatePublished - 2025
Event36th Annual ACM-SIAM Symposium on Discrete Algorithms, SODA 2025 - New Orleans, United States
Duration: 12 Jan 202515 Jan 2025

Publication series

NameProceedings of the Annual ACM-SIAM Symposium on Discrete Algorithms
Volume5
ISSN (Print)1071-9040
ISSN (Electronic)1557-9468

Conference

Conference36th Annual ACM-SIAM Symposium on Discrete Algorithms, SODA 2025
Country/TerritoryUnited States
CityNew Orleans
Period12/01/2515/01/25

Bibliographical note

Publisher Copyright:
Copyright © 2025 by SIAM.

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