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

Research Output: Chapter in Book/Report/Conference proceeding Conference contribution Peer-review

Publication Information

Output type

Research Output: Chapter in Book/Report/Conference proceeding Conference contribution Peer-review

Original language

English

Pages from-to (Number of pages)

Pages 478-494 (17 pages)

Publication milestones

  • Published - 01/01/2015

Publication status

Published - 01/01/2015

Publisher

Springer Verlag

Publication series

  • Publication series name: Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
    ISSN (Print): 0302-9743
    ISSN (Electronic): 1611-3349
    Volume: 9335
9783319242637

Publication IDs

  • Scopus: 84951028932

Host publication title

Computational Logistics - 6th International Conference, ICCL 2015, Proceedings

Host publication editors

  • Stefan Voß
  • Rudy R. Negenborn
  • Francesco Corman
  • Rudy R. Negenborn
  • Rudy R. Negenborn

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.