Please use this identifier to cite or link to this item: https://doi.org/10.15480/882.2468
Publisher URL: https://www.epubli.de/shop/buch/Artificial-Intelligence-and-Digital-Transformation-in-Supply-Chain-Management-Christian-M-Ringle-Thorsten-Blecker-Wolfgang-Kersten-9783750249479/92095
Title: SmartAirCargoTrailer : autonomous short distance transports in air cargo
Language: English
Authors: Bierwirth, Benjamin 
Schwanecke, Ulrich 
Gietzen, Thomas 
Lopéz, Daniel Andrés 
Brylka, Robert 
Keywords: Air cargo; Camera-based barcode detection; Neural networks; Autonomous transports
Issue Date: 26-Sep-2019
Publisher: epubli GmbH
Source: Hamburg International Conference of Logistics (HICL) 27: 151-185 (2019)
Abstract (english): 
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.
Conference: Hamburg International Conference of Logistics (HICL) 2019 
URI: http://hdl.handle.net/11420/3726
DOI: 10.15480/882.2468
ISBN: 978-3-750249-47-9
ISSN: 2365-5070
Document Type: Chapter/Article (Proceedings)
License: CC BY-SA 4.0 (Attribution-ShareAlike 4.0) CC BY-SA 4.0 (Attribution-ShareAlike 4.0)
Part of Series: Proceedings of the Hamburg International Conference of Logistics (HICL) 
Volume number: 27
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