License: Creative Commons Attribution 3.0 Unported license (CC-BY 3.0)
When quoting this document, please refer to the following
DOI: 10.4230/OASIcs.ATMOS.2020.17
URN: urn:nbn:de:0030-drops-131539
URL: https://drops.dagstuhl.de/opus/volltexte/2020/13153/
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Behroozi, Mehdi ; Ma, Dinghao

Crowdsourced Delivery with Drones in Last Mile Logistics

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OASIcs-ATMOS-2020-17.pdf (0.9 MB)


Abstract

We consider a combined system of regular delivery trucks and crowdsourced drones to provide a technology-assisted crowd-based last-mile delivery experience. We develop analytical models and methods for a system in which package delivery is performed by a big truck carrying a large number of packages to a neighborhood or a town in a metropolitan area and then assign the packages to crowdsourced drone operators to deliver them to their final destinations. A combination of heuristic algorithms is used to solve this NP-hard problem, computational results are presented, and an exhaustive sensitivity analysis is done to check the influence of different parameters and assumptions.

BibTeX - Entry

@InProceedings{behroozi_et_al:OASIcs:2020:13153,
  author =	{Mehdi Behroozi and Dinghao Ma},
  title =	{{Crowdsourced Delivery with Drones in Last Mile Logistics}},
  booktitle =	{20th Symposium on Algorithmic Approaches for Transportation Modelling, Optimization, and Systems (ATMOS 2020)},
  pages =	{17:1--17:12},
  series =	{OpenAccess Series in Informatics (OASIcs)},
  ISBN =	{978-3-95977-170-2},
  ISSN =	{2190-6807},
  year =	{2020},
  volume =	{85},
  editor =	{Dennis Huisman and Christos D. Zaroliagis},
  publisher =	{Schloss Dagstuhl--Leibniz-Zentrum f{\"u}r Informatik},
  address =	{Dagstuhl, Germany},
  URL =		{https://drops.dagstuhl.de/opus/volltexte/2020/13153},
  URN =		{urn:nbn:de:0030-drops-131539},
  doi =		{10.4230/OASIcs.ATMOS.2020.17},
  annote =	{Keywords: Last-mile delivery, Drone delivery, Sharing Economy}
}

Keywords: Last-mile delivery, Drone delivery, Sharing Economy
Collection: 20th Symposium on Algorithmic Approaches for Transportation Modelling, Optimization, and Systems (ATMOS 2020)
Issue Date: 2020
Date of publication: 10.11.2020


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