The limitation of machine-learning based models in predicting airline flight block time
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DOI: 10.1016/j.jairtraman.2022.102339
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Cited by:
- Abdelghany, Ahmed & Abdelghany, Khaled & Guzhva, Vitaly S., 2024. "Schedule-level optimization of flight block times for improved airline schedule planning: A data-driven approach," Journal of Air Transport Management, Elsevier, vol. 115(C).
- Khan, Waqar Ahmed & Chung, Sai-Ho & Eltoukhy, Abdelrahman E.E. & Khurshid, Faisal, 2024. "A novel parallel series data-driven model for IATA-coded flight delays prediction and features analysis," Journal of Air Transport Management, Elsevier, vol. 114(C).
- Wandelt, Sebastian & Sun, Xiaoqian & Zhang, Anming, 2023. "AI-driven assistants for education and research? A case study on ChatGPT for air transport management," Journal of Air Transport Management, Elsevier, vol. 113(C).
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Keywords
Airline schedule; Flight block time; On-time performance; Schedule reliability;All these keywords.
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