IDEAS home Printed from https://ideas.repec.org/h/spr/lnichp/978-3-031-80122-8_20.html
   My bibliography  Save this book chapter

Exploring Multi-agent Systems for Intermodal Freight Fleets: Literature-Based Justification of a New Concept

Author

Listed:
  • Dennis Maecker

    (German Research Center for Artificial Intelligence (DFKI))

  • Henning Gösling

    (German Research Center for Artificial Intelligence (DFKI))

  • Christoph Heinbach

    (German Research Center for Artificial Intelligence (DFKI))

  • Friedemann Kammler

    (German Research Center for Artificial Intelligence (DFKI))

Abstract

Freight transportation is increasingly connected with the automation of fleet assets by intelligent systems. This study emerges from the consortium research project Gaia-X 4 ROMS, which aims to develop a comprehensive approach for smart freight fleets in the field of parcel deliveries. Within this project, a novel type of multi-agent system (MAS) for the management of freight fleets is being developed. To determine the state of prior research and recent developments in this field, a systematic literature review was conducted and presented herein. The findings of the review demonstrate a lack of applied solutions in this topic, highlighting the need for a novel approach. Accordingly, a first framework for the envisioned multi-agent system, as conceptualized within the consortium research project, is presented in this work, serving as a basis for subsequent design phases.

Suggested Citation

  • Dennis Maecker & Henning Gösling & Christoph Heinbach & Friedemann Kammler, 2025. "Exploring Multi-agent Systems for Intermodal Freight Fleets: Literature-Based Justification of a New Concept," Lecture Notes in Information Systems and Organization,, Springer.
    • Handle: RePEc:spr:lnichp:978-3-031-80122-8_20
    DOI: 10.1007/978-3-031-80122-8_20
    as

    Download full text from publisher

    To our knowledge, this item is not available for download. To find whether it is available, there are three options:
    1. Check below whether another version of this item is available online.
    2. Check on the provider's web page whether it is in fact available.
    3. Perform a search for a similarly titled item that would be available.

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:spr:lnichp:978-3-031-80122-8_20. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    We have no bibliographic references for this item. You can help adding them by using this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Sonal Shukla or Springer Nature Abstracting and Indexing (email available below). General contact details of provider: http://www.springer.com .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.