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Placing Labels in Road Maps: Algorithms and Complexity

Gemsa, Andreas 1; Niedermann, Benjamin; Nöllenburg, Martin
1 Karlsruher Institut für Technologie (KIT)

Abstract:

A road map can be interpreted as a graph embedded in the plane, in which each vertex corresponds to a road junction and each edge to a particular road section. In this paper, we consider the computational cartographic problem to place non-overlapping road labels along the edges so that as many road sections as possible are identified by their name, i.e., covered by a label. We show that this is NP-hard in general, but the problem can be solved in O(n 3 ) time if the road map is an embedded tree with n vertices and constant maximum degree. This special case is not only of theoretical interest, but our algorithm in fact provides a very useful subroutine in exact or heuristic algorithms for labeling general road maps.


Verlagsausgabe §
DOI: 10.5445/IR/1000105842
Veröffentlicht am 16.06.2020
Originalveröffentlichung
DOI: 10.1007/s00453-020-00678-7
Scopus
Zitationen: 2
Web of Science
Zitationen: 2
Dimensions
Zitationen: 3
Cover der Publikation
Zugehörige Institution(en) am KIT Institut für Theoretische Informatik (ITI)
Publikationstyp Zeitschriftenaufsatz
Publikationsjahr 2020
Sprache Englisch
Identifikator ISSN: 0178-4617, 1432-0541
KITopen-ID: 1000105842
Erschienen in Algorithmica
Verlag Springer
Band 82
Seiten 1881–1908
Vorab online veröffentlicht am 01.02.2020
Schlagwörter Map labeling, Road maps, NP-hardness, Efficient tree-based algorithm
Nachgewiesen in Dimensions
Web of Science
Scopus
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