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Modeling spatiotemporal topological relationships between moving object trajectories along road networks based on region connection calculus / Linbing Ma in Cartography and Geographic Information Science, Vol 43 n° 4 (September 2016)  

Public [article]  inCartography and Geographic Information Science > Vol 43 n° 4 (September 2016) . - pp 346 - 360 Titre : Modeling spatiotemporal topological relationships between moving object trajectories along road networks based on region connection calculus Type de document : Article/Communication Auteurs : Linbing Ma, Auteur ; Min Deng, Auteur ; Jing Wu, Auteur ; Qiliang Liu, Auteur Année de publication : 2016 Article en page(s) : pp 346 - 360 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Bases de données localisées [Termes IGN] Canton (Kouangtoung) [Termes IGN] itinéraire [Termes IGN] modèle conceptuel de données spatio-temporelles [Termes IGN] objet mobile [Termes IGN] relation binaire [Termes IGN] relation topologique [Termes IGN] segment de droite [Termes IGN] véhicule automobile Mots-clés libres : region connection calculus Résumé : (Auteur) Considering the attempts to model spatiotemporal topological relationships between moving object trajectories, the conceptual and computational framework for moving objects along a road network has not received much attention. This paper aims to draw an improved model based on Region Connection Calculus (RCC) theory to represent the spatiotemporal topological relationships between moving object trajectories along road networks. This paper first uses a dimension reduction method based on a linear-reference transformation to model the moving object trajectories segments, and then defines new time–connection and space–connection relations between two trajectory segments. On this basis, the paper proposes an extension to the RCC-based spatiotemporal binary relationship set so that the combined semantics of the spatiotemporal predicates can be described completely. A case study was carried out using Floating Car Data in Guangzhou city. The computational results show that in a real application, the occurrence frequencies of the RCC-based binary relationships are distributed nonuniformly and the semantics of some binary relationships with the highest occurrence are coarse. Therefore, the partition of the spatiotemporal connection relations and the finer aspects of the spatiotemporal relationship model may require further research work. Numéro de notice : A2016-419 Affiliation des auteurs : non IGN Thématique : GEOMATIQUE Nature : Article DOI : 10.1080/15230406.2015.1088798 En ligne : https://doi.org/10.1080/15230406.2015.1088798 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=81317 [article]

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