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SmartAirCargoTrailer: Autonomous short distance transports in air cargo

In: Artificial Intelligence and Digital Transformation in Supply Chain Management: Innovative Approaches for Supply Chains. Proceedings of the Hamburg International Conference of Logistics (HICL), Vol. 27

Author

Listed:
  • Bierwirth, Benjamin
  • Schwanecke, Ulrich
  • Gietzen, Thomas
  • Lopéz, Daniel Andrés
  • Brylka, Robert

Abstract

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.

Suggested Citation

  • Bierwirth, Benjamin & Schwanecke, Ulrich & Gietzen, Thomas & Lopéz, Daniel Andrés & Brylka, Robert, 2019. "SmartAirCargoTrailer: Autonomous short distance transports in air cargo," Chapters from the Proceedings of the Hamburg International Conference of Logistics (HICL), in: Kersten, Wolfgang & Blecker, Thorsten & Ringle, Christian M. (ed.), Artificial Intelligence and Digital Transformation in Supply Chain Management: Innovative Approaches for Supply Chains. Proceedings of the Hamburg Int, volume 27, pages 151-185, Hamburg University of Technology (TUHH), Institute of Business Logistics and General Management.
    • Handle: RePEc:zbw:hiclch:209372
    DOI: 10.15480/882.2468
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    References listed on IDEAS

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    1. Bierwirth, Benjamin & Schocke, Kai-Oliver, 2017. "Lead-time optimization potential of digitization in air cargo," Chapters from the Proceedings of the Hamburg International Conference of Logistics (HICL), in: Kersten, Wolfgang & Blecker, Thorsten & Ringle, Christian M. (ed.), Digitalization in Supply Chain Management and Logistics: Smart and Digital Solutions for an Industry 4.0 Environment. Proceedings of the Hamburg Inter, volume 23, pages 75-98, Hamburg University of Technology (TUHH), Institute of Business Logistics and General Management.
    2. Lange, Anne, 2019. "Does cargo matter? The impact of air cargo operations on departure on-time performance for combination carriers," Transportation Research Part A: Policy and Practice, Elsevier, vol. 119(C), pages 214-223.
    3. Mayer, Robert, 2016. "Airport classification based on cargo characteristics," Journal of Transport Geography, Elsevier, vol. 54(C), pages 53-65.
    4. Liu, Yulin & Yin, Mogeng & Hansen, Mark, 2019. "Economic costs of air cargo flight delays related to late package deliveries," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 125(C), pages 388-401.
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