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A spatiotemporal data model for dynamic transit networks / R. Huang in International journal of geographical information science IJGIS, vol 22 n° 4-5 (april 2008)  

Public [article]  inInternational journal of geographical information science IJGIS > vol 22 n° 4-5 (april 2008) . - pp 527 - 545 Titre : A spatiotemporal data model for dynamic transit networks Type de document : Article/Communication Auteurs : R. Huang, Auteur ; Z.R. Peng, Auteur Année de publication : 2008 Article en page(s) : pp 527 - 545 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Bases de données localisées [Termes IGN] calcul d'itinéraire [Termes IGN] données spatiotemporelles [Termes IGN] modèle conceptuel de données localisées [Termes IGN] modèle orienté objet [Termes IGN] modèle topologique complet [Termes IGN] relation topologique [Termes IGN] réseau de transport Résumé : (Auteur) A transit network is a spatiotemporally dynamic system whose topology, components, and services all change over time. The complexity and dynamic nature of transit networks make it difficult to model by traditional transportation models. This paper presents an object-oriented data model that coherently represents space, time, and dynamics of transit networks and supports schedule-based pathfinding. In this data model, a transit network and its components are modelled as spatiotemporal objects that have properties and behaviours. Unlike traditional roadway transportation network models that define topology as connectivity between geometric elements such as edges and nodes, this data model uniquely defines topology as sequences and collections of transit features which are application domain objects. Moreover, this data model supports the generation of active network topologies based on given times to represent real-time network states as well as to reduce topological redundancy. Implementations of the data model in two Internet transit trip planners have demonstrated that it can effectively reduce computation complexity of schedule-based pathfinding algorithms and enhance pathfinding performance. Copyright Taylor & Francis Numéro de notice : A2008-153 Affiliation des auteurs : non IGN Thématique : GEOMATIQUE/INFORMATIQUE Nature : Article DOI : 10.1080/13658810701492399 En ligne : https://doi.org/10.1080/13658810701492399 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=29148 [article]

Exemplaires(2)

Code-barres	Cote	Support	Localisation	Section	Disponibilité
079-08031	RAB	Revue	Centre de documentation	En réserve L003	Disponible
079-08032	RAB	Revue	Centre de documentation	En réserve L003	Disponible

A proposed framework for feature-level geospatial data sharing: a case study for transportation network data / Z.R. Peng in International journal of geographical information science IJGIS, vol 19 n° 4 (april 2005)  

Public [article]  inInternational journal of geographical information science IJGIS > vol 19 n° 4 (april 2005) . - pp 459 - 413 Titre : A proposed framework for feature-level geospatial data sharing: a case study for transportation network data Type de document : Article/Communication Auteurs : Z.R. Peng, Auteur Année de publication : 2005 Article en page(s) : pp 459 - 413 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Applications SIG [Termes IGN] accès aux données localisées [Termes IGN] données localisées [Termes IGN] extraction automatique [Termes IGN] format SVG [Termes IGN] fusion de données multisource [Termes IGN] GML [Termes IGN] internet [Termes IGN] logiciel libre [Termes IGN] modèle conceptuel de données localisées [Termes IGN] objet géographique [Termes IGN] Open geospatial consortium [Termes IGN] partage de données localisées [Termes IGN] réseau de transport [Termes IGN] temps réel [Termes IGN] Web Feature Service Résumé : (Auteur) Current data sharing in the Internet environment is supported using metadata at the file level. This approach has three fundamental shortcomings. First, sharing data from different sources with different semantics, data models, and acquisition methods usually requires data conversion and/or integration like data conflation. This can be tedious and error-prone. Second, data updated from one source cannot be automatically propagated to other related data or applications. Finally, data sharing at the file level makes it difficult to provide feature-level data for searching, accessing, and exchanging in real time over the Internet. This paper addresses these three issues by proposing a standards-based framework for sharing geospatial data in the transportation application domain. The proposed framework uses a standard data model-geospatial data model proposed by the Geospatial One-Stop initiative to harmonize the semantics and data models without the use of data integration methods. It uses Geography Markup Language (GML) for geospatial data coding and feature relationship, which provides a basis to propagate the data update from one source to related other sources and applications, and to search and extract data at the feature level. The framework uses the Web Feature Service (WFS) to search, access and extract data at the feature level from distributed sources. Finally, the Scalable Vector Graphics (SVG) standard was used for data display on the Web browser. Two transportation network datasets are used in the prototype case study to implement the proposed framework. The prototype allows the user to access and extract data at the feature level on the Web from distributed sources without downloading the full data file. It shows that the proposed standards-based feature-level data-sharing system is capable of sharing data without data conflation, accessing, and exchanging data in real time at the feature level. The prototype also shows that changes in one database can be automatically reflected or propagated in another related database without data downloading. Numéro de notice : A2005-099 Affiliation des auteurs : non IGN Thématique : GEOMATIQUE Nature : Article DOI : 10.1080/13658810512331319127 En ligne : https://doi.org/10.1080/13658810512331319127 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=27237 [article]

Exemplaires(2)

Code-barres	Cote	Support	Localisation	Section	Disponibilité
079-05041	RAB	Revue	Centre de documentation	En réserve L003	Disponible
079-05042	RAB	Revue	Centre de documentation	En réserve L003	Disponible