A deep reinforcement learning approach for airport departure metering under spatial-temporal airside interactions
Airport taxi delays adversely affect airports and airlines around the world leading to airside congestion, increased Air Traffic Controllers/Pilot workload, and adverse environmental impact due to excessive fuel burn. Airport Departure Metering (DM) is an effective approach to contain taxi delays by...
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Main Authors: | Ali, Hasnain, Pham, Duc-Thinh, Schultz, Michael, Alam, Sameer |
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Other Authors: | School of Mechanical and Aerospace Engineering |
Format: | Article |
Language: | English |
Published: |
2022
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Subjects: | |
Online Access: | https://hdl.handle.net/10356/161934 |
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Institution: | Nanyang Technological University |
Language: | English |
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