Cooperative relations among intermodal hubs and transport providers at freight networks using an MPC approach

João Lemos Nabais, Rudy R. Negenborn, Rafael Carmona-Benítez, Miguel Ayala Botto

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

7 Scopus citations

Abstract

Freight networks are more exposed to unforeseen events leading to delays compromising the delivery of cargo on time. Cooperation among different parties present at freight networks are required to accommodate the occurrence of delays. Cargo assignment to the available transport capacity at the terminal is addressed using a Model Predictive Control approach in this paper, taking into consideration the final destination and the remaining time until due time of cargo. A cooperative framework for transport providers and intermodal hubs is proposed in this paper. The cooperation is based on information exchange regarding the amount of cargo at risk of not reaching the destination on time. The terminal searches for a faster connection at the terminal to allocate the cargo at risk such that the final destination is reached on time. The proposed heuristic is a step towards sustainable and synchromodal transportation networks. Simulation experiments illustrate the validity of these statements.

Original languageEnglish
Title of host publicationComputational Logistics - 6th International Conference, ICCL 2015, Proceedings
EditorsStefan Voß, Rudy R. Negenborn, Francesco Corman, Rudy R. Negenborn, Rudy R. Negenborn
PublisherSpringer Verlag
Pages478-494
Number of pages17
ISBN (Print)9783319242637
DOIs
StatePublished - 1 Jan 2015
Event6th International Conference on Computational Logistics, ICCL 2015 - Delft, Netherlands
Duration: 23 Sep 201525 Sep 2015

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume9335
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349

Conference

Conference6th International Conference on Computational Logistics, ICCL 2015
Country/TerritoryNetherlands
CityDelft
Period23/09/1525/09/15

Keywords

  • Freight networks
  • Intermodal container terminals
  • Model predictive control
  • Sustainable modal split

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