Virtual Data Models in Anticipatory System of Railway Transportation

p. 135-145

Résumé

The application of Data Warehouse technologies allows constructing the set of prediction models of the railway transportation on the basis of the huge amount of the accumulated data. The big size of the disk space is necessary for these models allocation, therefore the method of the virtual data models is offered. The period of life of the created models is not limited in time, they do not influence the real data, and they do not occupy the place on the storage devices. The examined virtual data models are developed within the frames of the creation of the Decision Support System of Latvian Railway. However the received results have a universal character.

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Référence papier

Eugene Kopytov et Vasilijs Demidovs, « Virtual Data Models in Anticipatory System of Railway Transportation », CASYS, 19 | 2006, 135-145.

Référence électronique

Eugene Kopytov et Vasilijs Demidovs, « Virtual Data Models in Anticipatory System of Railway Transportation », CASYS [En ligne], 19 | 2006, mis en ligne le 22 August 2024, consulté le 20 September 2024. URL : http://popups.lib.uliege.be/1373-5411/index.php?id=2476

Auteurs

Eugene Kopytov

Transport and Telecommunication Institute

Lomonosova Str.l, Riga, LV-1019, Latvia

Vasilijs Demidovs

State Join-Stock Company "Latvian Railway"

Turgeneva Str. 2l, Riga, LV-1547, Lavia

Droits d'auteur

CC BY-SA 4.0 Deed