Cited time in webofscience Cited time in scopus

Landing-Type Aware Multi-Drone Route Generation for Last-Mile Delivery Service

Title
Landing-Type Aware Multi-Drone Route Generation for Last-Mile Delivery Service
Author(s)
Kwon, JiHyunKim, BaekGyuChen, Yi-YingLin, Chung-Wei
Issued Date
2024-05-13
Citation
ACM/IEEE International Conference on Cyber-Physical Systems, pp.281 - 282
Type
Conference Paper
ISBN
9798350369274
Abstract
We consider the problem of generating delivery routes for multiple drones in the last-mile delivery service. In particular, the landing type - how a parcel is to be dropped off from a drone - is explicitly modeled in terms of the landing area and the landing time, which was not considered in other drone delivery works. A Mixed Integer Linear Programming (MILP) problem is formulated to optimize the delivery route for each drone by minimizing the total delivery completion time. Our preliminary result shows that landing types affect the total delivery completion time significantly, even with a small number of drones. Therefore, it is necessary to explicitly consider the characteristics of landing types for more realistic delivery route generation of a large number of drones. © 2024 IEEE.
URI
http://hdl.handle.net/20.500.11750/57273
DOI
10.1109/iccps61052.2024.00036
Publisher
IEEE Computer Society
Related Researcher
  • 김백규 Kim, BaekGyu
  • Research Interests 사이버물리 시스템; Cyber-Physical Systems(CPS); 사물인터넷; Internet-Of-Things(IoT); Embedded Software; Formal Method; Software Engineering; model-based development; hardware/software integration; distributed computing; real-time systems
Files in This Item:

There are no files associated with this item.

Appears in Collections:
Department of Electrical Engineering and Computer Science High-Assurance Software Systems Lab. 2. Conference Papers

qrcode

  • twitter
  • facebook
  • mendeley

Items in Repository are protected by copyright, with all rights reserved, unless otherwise indicated.

BROWSE