Routes visualization: Automated placement of multiple route symbols along a physical network infrastructure

This paper tackles the representation of routes carried by a physical network infrastructure on a map. In particular, the paper examines the case where each route is represented by a separate colored linear symbol offset from the physical network segments and from other routes—as on public transit m...

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Main Authors: Jules Teulade-Denantes, Adrien Maudet, Cécile Duchêne
Format: Article
Language:English
Published: University of Maine 2015-12-01
Series:Journal of Spatial Information Science
Subjects:
Online Access:http://josis.org/index.php/josis/article/view/230
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spelling doaj-d43d5028259644c789694c8b4c3a331a2020-11-25T00:13:29ZengUniversity of MaineJournal of Spatial Information Science1948-660X2015-12-01201511537910.5311/JOSIS.2015.11.230129Routes visualization: Automated placement of multiple route symbols along a physical network infrastructureJules Teulade-Denantes0Adrien Maudet1Cécile Duchêne2Université Paul Sabatier, Toulouse, FranceLaboratoire COGIT, IGN, Saint-Mandé, FranceLaboratoire COGIT, IGN, Saint-Mandé, FranceThis paper tackles the representation of routes carried by a physical network infrastructure on a map. In particular, the paper examines the case where each route is represented by a separate colored linear symbol offset from the physical network segments and from other routes—as on public transit maps with bus routes offset from roads. In this study, the objective is to automate the placement of such route symbols while maximizing their legibility, especially at junctions. The problem is modeled as a constraint optimization problem. Legibility criteria are identified and formalized as constraints to optimize, while focusing on the case of hiking routes in a physical network composed of roads and pedestrian paths. Two solving methods are tested, based on backtracking and simulated annealing meta-heuristics respectively. Encouraging results obtained on real data are presented and discussed.http://josis.org/index.php/josis/article/view/230Automated cartographyroutes mapsymbol placementconstraints formulationconstraints optimisation problemsimulated annealing
collection DOAJ
language English
format Article
sources DOAJ
author Jules Teulade-Denantes
Adrien Maudet
Cécile Duchêne
spellingShingle Jules Teulade-Denantes
Adrien Maudet
Cécile Duchêne
Routes visualization: Automated placement of multiple route symbols along a physical network infrastructure
Journal of Spatial Information Science
Automated cartography
routes map
symbol placement
constraints formulation
constraints optimisation problem
simulated annealing
author_facet Jules Teulade-Denantes
Adrien Maudet
Cécile Duchêne
author_sort Jules Teulade-Denantes
title Routes visualization: Automated placement of multiple route symbols along a physical network infrastructure
title_short Routes visualization: Automated placement of multiple route symbols along a physical network infrastructure
title_full Routes visualization: Automated placement of multiple route symbols along a physical network infrastructure
title_fullStr Routes visualization: Automated placement of multiple route symbols along a physical network infrastructure
title_full_unstemmed Routes visualization: Automated placement of multiple route symbols along a physical network infrastructure
title_sort routes visualization: automated placement of multiple route symbols along a physical network infrastructure
publisher University of Maine
series Journal of Spatial Information Science
issn 1948-660X
publishDate 2015-12-01
description This paper tackles the representation of routes carried by a physical network infrastructure on a map. In particular, the paper examines the case where each route is represented by a separate colored linear symbol offset from the physical network segments and from other routes—as on public transit maps with bus routes offset from roads. In this study, the objective is to automate the placement of such route symbols while maximizing their legibility, especially at junctions. The problem is modeled as a constraint optimization problem. Legibility criteria are identified and formalized as constraints to optimize, while focusing on the case of hiking routes in a physical network composed of roads and pedestrian paths. Two solving methods are tested, based on backtracking and simulated annealing meta-heuristics respectively. Encouraging results obtained on real data are presented and discussed.
topic Automated cartography
routes map
symbol placement
constraints formulation
constraints optimisation problem
simulated annealing
url http://josis.org/index.php/josis/article/view/230
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