A real-time Active Routing approach via a database for airport surface movement
- Submitting institution
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Queen Mary University of London
- Unit of assessment
- 12 - Engineering
- Output identifier
- 606
- Type
- D - Journal article
- DOI
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10.1016/j.trc.2015.07.011
- Title of journal
- Transportation Research Part C: Emerging Technologies
- Article number
- -
- First page
- 127
- Volume
- 58
- Issue
- -
- ISSN
- 0968-090X
- Open access status
- Out of scope for open access requirements
- Month of publication
- July
- Year of publication
- 2015
- URL
-
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- Supplementary information
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- Request cross-referral to
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- Output has been delayed by COVID-19
- No
- COVID-19 affected output statement
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- Forensic science
- No
- Criminology
- No
- Interdisciplinary
- No
- Number of additional authors
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2
- Research group(s)
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- Proposed double-weighted
- No
- Reserve for an output with double weighting
- No
- Additional information
- Introduced a pre-computed database to enable more complex/realistic aircraft models to be adopted for airport collaborative decision making. Work met the on-line decision time requirement imposed by International Civil Aviation Organisation and was validated using real-world instances. Work was an outcome of the EPSRC grant EP/H004424/2 (2011-2014), led to a follow-up EPSRC grant EP/N029496/2 (ranked top 1@https://gow.epsrc.ukri.org/NGBOViewPanelROL.aspx?PanelId=1-2L4MKR&RankingListId=1-2LDWA9, >£1M, 2016-2021). Work was recommended reading on https://www.forbes.com/sites/lauriewinkless/2016/07/15/meet-the-researcher-who-wants-to-make-airports-more-efficient-using-maths/#1a01e83e66b7 and featured on https://www.airport-technology.com/features/featurerethinking-ground-handling-calculating-the-most-efficient-route-4684388/. Work led to keynote/invited talks at 2018 ADB SAFEGATE’s Aviation Summit (fredrik.johansson@adbsafegate.com) and 2019 NATS’s Research Collaboration Conference (https://www.nats.aero/news/research-collaboration-conference-brings-together-aviation-masterminds/, david.bush@nats.co.uk), and attracted funding from QMUL-EPSRC/IAA (https://www.sems.qmul.ac.uk/news/5002/funding-awarded-to-develop-a-simulation-tool-for-airside-operations-incorporating-intelligent-autonomous-taxiing), AVISU (stephen.oflynn@avisu.co.uk) and NATS (colin.smith@nats.co.uk).
- Author contribution statement
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- Non-English
- No
- English abstract
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