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Transport hub flow modelling

  • Wilfried Despagne


    (LMBA - Laboratoire de Mathématiques de Bretagne Atlantique - UBS - Université de Bretagne Sud - UBO - Université de Bretagne Occidentale - CNRS)

  • Emmanuel Frenod


    (CALVI - Scientific computation and visualization - IRMA - Institut de Recherche Mathématique Avancée - CNRS - Université de Strasbourg - LSIIT - Laboratoire des Sciences de l'Image, de l'Informatique et de la Télédétection - CNRS - Université de Strasbourg - INRIA Nancy - Grand Est - INRIA - IECL - Institut Élie Cartan de Lorraine - Université de Lorraine - CNRS, LMBA_UBS - LMBA - Laboratoire de Mathématiques de Bretagne Atlantique - UBS - Université de Bretagne Sud - UBO - Université de Bretagne Occidentale - CNRS)

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    Purpose: The purpose of this paper is to investigate the road freight haulage activity. Using the physical and data flow information from a freight forwarder, we intend to model the flow of inbound and outbound goods in a freight transport hub. Approach: This paper presents the operation of a road haulage group. To deliver goods within two days to any location in France, a haulage contractor needs to be part of a network. This network handles the processing of both physical goods and data. We will also explore the ways in which goods and data flows are connected. We then build a first model based on Ordinary Differential Equations which decrypt the flow of goods inside the hub and which is consistent with available data. This first model is designed to work at a fine-scale level. A second model which aggregates factors of the fine scale one is also built and a way to couple hub models to build a hub network is depicted. Tests are carried out to show the accuracy of the models. Finally, an explanation on how to use the models for industrial process optimizing is given.

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    Paper provided by HAL in its series Working Papers with number hal-00522938.

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    Date of creation: 30 Mar 2014
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    Handle: RePEc:hal:wpaper:hal-00522938
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