Analysis and Optimization of Unmanned Aerial Vehicle Swarms in Logistics: An Intelligent Delivery Platform
- Submitting institution
-
Liverpool John Moores University
- Unit of assessment
- 11 - Computer Science and Informatics
- Output identifier
- 940
- Type
- D - Journal article
- DOI
-
10.1109/ACCESS.2019.2892716
- Title of journal
- IEEE Access
- Article number
- -
- First page
- 15804
- Volume
- 7
- Issue
- -
- ISSN
- 2169-3536
- Open access status
- Compliant
- Month of publication
- January
- Year of publication
- 2019
- URL
-
-
- Supplementary information
-
-
- Request cross-referral to
- -
- Output has been delayed by COVID-19
- No
- COVID-19 affected output statement
- -
- Forensic science
- No
- Criminology
- No
- Interdisciplinary
- No
- Number of additional authors
-
3
- Research group(s)
-
-
- Citation count
- 24
- Proposed double-weighted
- No
- Reserve for an output with double weighting
- No
- Additional information
- A novel hybrid approach for autonomous delivery system optimisation is proposed, where Unmanned Aerial Vehicle (UAV) swarms in several warehouses are deployed optimally for the given delivery scheme, method and constraints. The results indicate that various factors such as distribution scheme, characteristics of datasets and constraints affect the choice of an optimal delivery scheme. The findings are relevant to regulatory bodies, transport and logistics stakeholders regarding the effective, efficient and safe use of UAVs.
- Author contribution statement
- -
- Non-English
- No
- English abstract
- -
