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The unmanned aerial vehicle routing and trajectory optimisation problem, a taxonomic review

The unmanned aerial vehicle routing and trajectory optimisation problem, a taxonomic review
The unmanned aerial vehicle routing and trajectory optimisation problem, a taxonomic review
Over the past few years, Unmanned Aerial Vehicles (UAVs) have become more and more popular. The complexity of routing UAVs has not been fully investigated in the literature. In this paper, we provide a formal definition of the UAV Routing and Trajectory Optimisation Problem (UAVRTOP). Next, we introduce a taxonomy and review recent contributions in UAV trajectory optimisation, UAV routing and articles addressing these problems, and their variants, simultaneously. We conclude with the identification of future research opportunities.
Unmanned aerial vehicles, Routing, Trajectory optimisation, Literature review, Taxonomy
0360-8352
116-128
Pereira Coutinho, Walton
844cd0ea-6cef-45fd-98f6-906493797077
Battarra, Maria
0498dc58-e9d5-4ad2-a141-040f7bcebbc2
Fliege, Joerg
54978787-a271-4f70-8494-3c701c893d98
Pereira Coutinho, Walton
844cd0ea-6cef-45fd-98f6-906493797077
Battarra, Maria
0498dc58-e9d5-4ad2-a141-040f7bcebbc2
Fliege, Joerg
54978787-a271-4f70-8494-3c701c893d98

Pereira Coutinho, Walton, Battarra, Maria and Fliege, Joerg (2018) The unmanned aerial vehicle routing and trajectory optimisation problem, a taxonomic review. Computers & Industrial Engineering, 120, 116-128. (doi:10.1016/j.cie.2018.04.037).

Record type: Article

Abstract

Over the past few years, Unmanned Aerial Vehicles (UAVs) have become more and more popular. The complexity of routing UAVs has not been fully investigated in the literature. In this paper, we provide a formal definition of the UAV Routing and Trajectory Optimisation Problem (UAVRTOP). Next, we introduce a taxonomy and review recent contributions in UAV trajectory optimisation, UAV routing and articles addressing these problems, and their variants, simultaneously. We conclude with the identification of future research opportunities.

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More information

Submitted date: 23 June 2017
Accepted/In Press date: 19 April 2018
e-pub ahead of print date: 22 April 2018
Published date: June 2018
Keywords: Unmanned aerial vehicles, Routing, Trajectory optimisation, Literature review, Taxonomy
Organisations: Mathematical Sciences, Operational Research

Identifiers

Local EPrints ID: 411785
URI: https://eprints.soton.ac.uk/id/eprint/411785
ISSN: 0360-8352
PURE UUID: 8df8058e-0999-4c95-a4d8-b5989f0ade66
ORCID for Joerg Fliege: ORCID iD orcid.org/0000-0002-4459-5419

Catalogue record

Date deposited: 26 Jun 2017 16:30
Last modified: 17 Jul 2019 17:20

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