Delivery drone route planning over a battery swapping network

Many enterprises invest on drone delivery research and development to drop off packages at consumers’ doorsteps in a matter of minutes. The authors study delivery drone route planning over a battery swapping network allowing farther reach by penetrating current battery capacity constraints. A mixed-integer nonlinear programming model is created to plan efficient drone routing over the swapping machines by minimizing the delivery lead time. The authors develop an exact solution method, evaluate its performance, and compare it with a straightforward nonlinear solver application. A case study highlights the applicability of the model. Data and source code to the solver are publicly shared.

• Record URL:
  https://doi.org/10.1016/j.procs.2021.03.013
• Record URL:
  http://www.sciencedirect.com/science/article/pii/S1877050921006244
• Availability:
  • Find a library where document is available. Order URL: http://worldcat.org/issn/18770509
• Supplemental Notes:
  • © 2021 Taner Cokyasar. Published by Elsevier B.V. Abstract reprinted with permission of Elsevier. 12th International Conference on Ambient Systems, Networks and Technologies (ANT)
• Authors:
  • Cokyasar, Taner
• Publication Date: 2021

Language

• English

Media Info

• Media Type: Web
• Features: References;
• Pagination: pp 10-16
• Serial:
  • Procedia Computer Science
  • Volume: 184
  • Issue Number: 0
  • Publisher: Elsevier
  • ISSN: 1877-0509
  • Serial URL: http://www.sciencedirect.com/science/journal/18770509
• Publication flags:

  Open Access (libre)

Subject/Index Terms

• TRT Terms: Delivery service; Drones; Electric batteries; Mixed integer programming; Nonlinear programming; Optimization; Routes
• Subject Areas: Aviation; Energy; Operations and Traffic Management; Vehicles and Equipment;

Filing Info

• Accession Number: 01774806
• Record Type: Publication
• Files: TRIS
• Created Date: Jun 23 2021 2:37PM