A roadmap toward airport demand and capacity management
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ML can help predict runway demand and aircraft taxi time to reduce excess fuel burned due to airport congestion.
“ML can help predict runway demand and aircraft taxi time in order to reduce the excess fuel burned in the air and on the ground due to congestion in airports [379,474].”
From Tackling climate change with machine learning (2023) · cites this paper as [379]
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Tackling climate change with machine learning
Rolnick, D., Donti, P. L., Kaack, L. H., Kochanski, K., Lacoste, A., Sankaran, K., Ross, A. S., Milojevic-Dupont, N., Jaques, N., Waldman-Brown, A., et al. (2023) · ACM Computing Surveys · doi:10.1145/3485128 · Cited by 336 · see citing works
Status quo and challenges in air transport management research
Wandelt, S., Antoniou, C., Birolini, S., Delahaye, D., Dresner, M., Fu, X., Gössling, S., Hong, S.-J., Odoni, A. R., Zanin, M., et al. (2024) · Journal of the Air Transport Research Society · doi:10.1016/j.jatrs.2024.100014 · Cited by 67 · see citing works
Self-citation
- Authors
- Jacquillat, A., & Odoni, A. R.
- Affiliations
- Carnegie Mellon University (US)
- Massachusetts Institute of Technology (US)
- Corresponding author
- Jacquillat, Alexandre
- Venue
- Transportation Research Part A: Policy and Practice
- Publisher
- Elsevier BV
- Published
- 2018-08
- Volume
- 114
- Pages
- 168-185
- ISSN
- 0965-8564 (ISSN-L)
- OpenAlex
- W2767143769
- Cited by
- 89
- References
- 67
- Citations by year
- 2026: 7 · 2025: 17 · 2024: 14 · 2023: 10 · 2022: 15 · 2021: 8 · 2020: 10 · 2019: 4 · 2018: 4
- FWCI
- 4.54
- Type
- journal article
- Language
- en
- Open access
- closed
- Locations
- Transportation Research Part A Policy and Practice (publishedVersion)
- RePEc: Research Papers in Economics (submittedVersion)
- Topics
- Physical Sciences › Engineering › Aerospace Engineering › Air Traffic Management and Optimization
- Social Sciences › Economics, Econometrics and Finance › General Economics, Econometrics and Finance › Aviation Industry Analysis and Trends
- Health Sciences › Health Professions › Emergency Medical Services › Healthcare Operations and Scheduling Optimization
- Keywords
- air traffic congestion, capacity utilization, airport operations, airport infrastructure, aviation policy
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