Konferenzbeitrag

SmartAirCargoTrailer: Autonomous short distance transports in air cargo

Purpose: SmartAirCargoTrailers improve short-distance air cargo transports within airport premises. They create real-time-transparency between the partners in the transport chain and thereby reduces waiting times while at the same time increasing equipment utilization. An autonomous truck with swap bodies facilitates these short-distance transports. Methodology: The SmartAirCargoTrailer system consist of an autonomous truck with swap trailers which is controlled by a cloud platform. To allow for real-timetransparency all shipments loaded onto the trailer are detected by a camera-based system. Findings: To enable reliable scannings of AirwayBill numbers (AWBs) a system of multiple cameras was developed. Challenges arose from the big variationin shipment size and scanning in motion. While the truck could be triggered automatically based on time or filling level, also human interaction had to be integrated. Originality: The system introduces a combined push-pull-algorithm to optimize the utilization of the autonomous trucks. The camera-based barcode scanning allows for shipment identification without interrupting the loading process. Autonomous driving in the mixed traffic environments of the landside airport premises is another innovative part of the project.

Sprache
Englisch

Erschienen in
10419/209196

Klassifikation
Management
Thema
Air cargo
Camera-based barcode detection
Neural networks
Autonomous transports

Ereignis
Geistige Schöpfung
(wer)
Bierwirth, Benjamin
Schwanecke, Ulrich
Gietzen, Thomas
Lopéz, Daniel Andrés
Brylka, Robert
Ereignis
Veröffentlichung
(wer)
epubli GmbH
(wo)
Berlin
(wann)
2019

DOI
doi:10.15480/882.2468
Handle
URN
urn:nbn:de:gbv:830-882.054148
Letzte Aktualisierung
10.03.2025, 11:44 MEZ

Datenpartner

Dieses Objekt wird bereitgestellt von:
ZBW - Deutsche Zentralbibliothek für Wirtschaftswissenschaften - Leibniz-Informationszentrum Wirtschaft. Bei Fragen zum Objekt wenden Sie sich bitte an den Datenpartner.

Objekttyp

  • Konferenzbeitrag

Beteiligte

  • Bierwirth, Benjamin
  • Schwanecke, Ulrich
  • Gietzen, Thomas
  • Lopéz, Daniel Andrés
  • Brylka, Robert
  • epubli GmbH

Entstanden

  • 2019

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