2026-08-04T20:49:55Z https://drops.dagstuhl.de/oai

oai:drops-oai.dagstuhl.de:13153 2024-03-06T10:31:08Z ddc:004 open_access

Crowdsourced Delivery with Drones in Last Mile Logistics Behroozi, Mehdi Ma, Dinghao Last-mile delivery Drone delivery Sharing Economy 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. Schloss Dagstuhl – Leibniz-Zentrum für Informatik Mehdi Behroozi and Dinghao Ma 2020 Is Part Of OASIcs, Volume 85, 20th Symposium on Algorithmic Approaches for Transportation Modelling, Optimization, and Systems (ATMOS 2020) InProceedings Text doc-type:ResearchArticle publishedVersion application/pdf doi:10.4230/OASIcs.ATMOS.2020.17 urn:nbn:de:0030-drops-131539 https://drops.dagstuhl.de/entities/document/10.4230/OASIcs.ATMOS.2020.17 eng https://creativecommons.org/licenses/by/3.0/legalcode