2016/05/13 by Benjamin Niedermann, Martin Nöllenburg, Niedermann, Benjamin +1 · 1 citation
Computer Science · Engineering · Social Sciences · #Automated Road and Building Extraction #Computational Geometry (cs.CG) #Data Management and Algorithms #FOS: Computer and information sciences #Geographic Information Systems Studies
paper · pdf · doi:10.48550/arxiv.1605.04265
openalex publication_date 2016/05/13 · openalex created_date 2025/10/10 · openalex updated_date 2026/07/28
Given an unlabeled road map, we consider, from an algorithmic perspective, the cartographic problem to place non-overlapping road labels embedded in their roads. We first decompose the road network into logically coherent road sections, e.g., parts of roads between two junctions. Based on this decomposition, we present and implement a new and versatile framework for placing labels in road maps such that the number of labeled road sections is maximized. In an experimental evaluation with road maps of 11 major cities we show that our proposed labeling algorithm is both fast in practice and that it reaches near-optimal solution quality, where optimal solutions are obtained by mixed-integer linear programming. In comparison to the standard OpenStreetMap renderer Mapnik, our algorithm labels 31% more road sections in average.