Learning-Based Co-planning for Improved Container, Barge and Truck Routing

Rie B. Larsen*, Bilge Atasoy, Rudy R. Negenborn

*Corresponding author for this work

Research output: Chapter in Book/Conference proceedings/Edited volumeConference contributionScientificpeer-review

1 Citation (Scopus)
16 Downloads (Pure)

Abstract

When barges are scheduled before the demand for container transport is known, the scheduled departures may match poorly with the realised demands’ due dates and with the truck utilization. Synchromodal transport enables simultaneous planning of container, truck and barge routes at the operational level. Often these decisions are taken by multiple stakeholders who wants cooperation, but are reluctant to share information. We propose a novel co-planning framework, called departure learning, where a barge operator learns what departure times perform better based on indications from the other operator. The framework is suitable for real time implementation and thus handles uncertainties by replanning. Simulated experiment results show that co-planning has a big impact on vehicle utilization and that departure learning is a promising tool for co-planning.

Original languageEnglish
Title of host publicationComputational Logistics
Subtitle of host publicationProceedings of the 11th International Conference, ICCL 2020
EditorsEduardo Lalla-Ruiz, Martijn Mes, Stefan Voß
Place of PublicationCham, Switzerland
PublisherSpringer
Pages476-491
ISBN (Electronic)978-3-030-59747-4
ISBN (Print)978-3-030-59746-7
DOIs
Publication statusPublished - 2020
Event11th International Conference on Computational Logistics, ICCL 2020 - Enschede, Netherlands
Duration: 28 Sep 202030 Sep 2020

Publication series

NameLecture Notes in Computer Science
Volume12433
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349

Conference

Conference11th International Conference on Computational Logistics, ICCL 2020
CountryNetherlands
CityEnschede
Period28/09/2030/09/20

Bibliographical note

Green Open Access added to TU Delft Institutional Repository 'You share, we take care!' - Taverne project https://www.openaccess.nl/en/you-share-we-take-care
Otherwise as indicated in the copyright section: the publisher is the copyright holder of this work and the author uses the Dutch legislation to make this work public.

Keywords

  • Cooperative planning
  • Synchromodal transport
  • Vehicle utilization

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