OpenstarTs >
EUT-Periodici >
European Transport / Trasporti Europei >
European Transport / Trasporti Europei (2010) 46/XVI >

Please use this identifier to cite or link to this item: http://hdl.handle.net/10077/6168

Title: A metamodelling approach for performance evaluation of intermodal transportation networks
Authors: Boschian, Valentina
Dotoli, Mariagrazia
Fanti, Maria Pia
Iacobellis, Giorgio
Ukovich, Walter
Keywords: Intermodal transportation networks
Modeling
Discrete event simulation
Performance evaluation
UML
Issue Date: 2010
Publisher: EUT Edizioni Universit√† di Trieste
Citation: Boschian, V., Dotoli, M., Fanti, M.P., Iacobellis, G., Ukovich, W. (2010) A metamodelling approach for performance evaluation of intermodal transportation networks, European Transport \ Trasporti Europei, 46, pp. 100-113
Series/Report no.: European Transport / Trasporti Europei
46
Abstract: The paper proposes a metamodelling procedure devoted to provide a reference model to be used by decision makers in the performance evaluation of Intermodal Transportation Network (ITN). In order to obtain a generic model describing a nonspecific ITN from the structural and behavioural point of view, the metamodelling approach consists in applying a top down and modular procedure. The model is specified by the well known Unified Modelling Language (UML), a graphic and textual modelling formalism intended to describe systems from structural and dynamics viewpoints. Hence, the paper models a generic ITN starting from the network description and shows by a case study the metamodel of one of the most important nodes that compose it: the port subsystem. Moreover, the case study model is translated in a simulation software and the performance measures obtained by the simulation results are shown.
URI: http://hdl.handle.net/10077/6168
ISSN: 1825-3997
Appears in Collections:European Transport / Trasporti Europei (2010) 46/XVI

Files in This Item:

File Description SizeFormat
46D_BoschianDotoliFantiIacobellisUkovich.pdf403.08 kBAdobe PDFView/Open
View Statistics

Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.