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Descripción
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| This paper deals with the possible use of Bayesian networks in port planning. The methodology indicates the work scenario and how the network was built. The network was afterwards used in container terminals planning, with the support provided by the tools of the Elvira code. The main variables were defined and virtual scenarios inferences were realised in order to carry out the analysis of the container terminals scenarios through probabilistic graphical models. Having performed the data analysis on the different terminals and on the considered variables (berth, area, TEU, crane number), the results show the possible relationships between them. Finally, the conclusions show the obtained values on each considered scenario. | |
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Internacional
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Si |
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JCR del ISI
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Si |
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Título de la revista
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Promet-Traffic & Transportation |
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ISSN
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0353-5320 |
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Factor de impacto JCR
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0,292 |
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Información de impacto
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Datos JCR del año 2013 |
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Volumen
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27 |
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DOI
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Número de revista
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5 |
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Desde la página
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395 |
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Hasta la página
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403 |
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Mes
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SIN MES |
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Ranking
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