Analysis and optimisation of unmanned aerial vehicle swarms in logistics: An intelligent delivery platform
- Submitting institution
-
University of Central Lancashire
- Unit of assessment
- 12 - Engineering
- Output identifier
- 25627
- 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)
-
A - Aerospace and Sensing Group
- Proposed double-weighted
- No
- Reserve for an output with double weighting
- No
- Additional information
- This paper proposes a method for optimising UAV routing within a city environment for package delivery. The research is aligned with the UK Aerospace Technology Institute strategy for sustainable air vehicles for urban and regional markets. It offers an approach for industrial UAV developers, delivery logistics companies, or for consideration by airspace regulators, or town council authorities studying implications of UAV flights within a city region. Expertise such as this in autonomous systems has helped to secure a £1.2m equipment grant for UAV technology. (Local Enterprise partnership).
- Author contribution statement
- -
- Non-English
- No
- English abstract
- -
