Détail de l'auteur
Auteur Julian Will |
Documents disponibles écrits par cet auteur (1)



Matching authority and VGI road networks using an extended node-based matching algorithm / Ehsan Abdolmajidi in Geo-spatial Information Science, vol 18 n° 2 (August 2015)
![]()
[article]
Titre : Matching authority and VGI road networks using an extended node-based matching algorithm Type de document : Article/Communication Auteurs : Ehsan Abdolmajidi, Auteur ; Ali Mansourian, Auteur ; Julian Will, Auteur ; Lars Harrie, Auteur Année de publication : 2015 Article en page(s) : pp 65 - 80 Note générale : bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Infrastructure de données
[Termes IGN] appariement topologique
[Termes IGN] base de données routières
[Termes IGN] données localisées de référence
[Termes IGN] données localisées des bénévoles
[Termes IGN] OpenStreetMap
[Termes IGN] qualité des données
[Termes IGN] relation topologique
[Termes IGN] réseau routier
[Termes IGN] SuèdeRésumé : (auteur) The amount of volunteered geographic information (VGI) has increased over the past decade, and several studies have been conducted to evaluate the quality of VGI data. In this study, we evaluate the completeness of the road network in the VGI data set OpenStreetMap (OSM). The evaluation is based on an accurate and efficient network-matching algorithm. The study begins with a comparison of the two main strategies for network matching: segment-based and node-based matching. The comparison shows that the result quality is comparable for the two strategies, but the node-based result is considerably more computationally efficient. Therefore, we improve the accuracy of node-based algorithm by handling topological relationships and detecting patterns of complicated network components. Finally, we conduct a case study on the extended node-based algorithm in which we match OSM to the Swedish National Road Database (NVDB) in Scania, Sweden. The case study reveals that OSM has a completeness of 87% in the urban areas and 69% in the rural areas of Scania. The accuracy of the matching process is approximately 95%. The conclusion is that the extended node-based algorithm is sufficiently accurate and efficient for conducting surveys of the quality of OSM and other VGI road data sets in large geographic regions. Numéro de notice : A2015-760 Affiliation des auteurs : non IGN Thématique : GEOMATIQUE/INFORMATIQUE Nature : Article DOI : 10.1080/10095020.2015.1071065 En ligne : http://dx.doi.org/10.1080/10095020.2015.1071065 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=78796
in Geo-spatial Information Science > vol 18 n° 2 (August 2015) . - pp 65 - 80[article]