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...
Main Authors: | , , |
---|---|
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 |
id |
doaj-d43d5028259644c789694c8b4c3a331a |
---|---|
record_format |
Article |
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 |
work_keys_str_mv |
AT julesteuladedenantes routesvisualizationautomatedplacementofmultipleroutesymbolsalongaphysicalnetworkinfrastructure AT adrienmaudet routesvisualizationautomatedplacementofmultipleroutesymbolsalongaphysicalnetworkinfrastructure AT cecileduchene routesvisualizationautomatedplacementofmultipleroutesymbolsalongaphysicalnetworkinfrastructure |
_version_ |
1725394071839571968 |