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Flight delay prediction for commercial air transport: A deep learning approach

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  1. Zhang, Haoyu & Wu, Weiwei & Jiang, Yu & Chen, Xinyuan, 2024. "Flight delay propagation in the multiplex network system of airline networks," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 648(C).
  2. Sajjad Aslani Khiavi & Farzad Hashemzadeh & Hamid Khaloozadeh, 2024. "Modeling and adaptive control of demand oscillation propagation in an uncertain aerial transportation network," OPSEARCH, Springer;Operational Research Society of India, vol. 61(3), pages 1383-1403, September.
  3. Sismanidou, Athina & Tarradellas, Joan & Suau-Sanchez, Pere, 2022. "The uneven geography of US air traffic delays: Quantifying the impact of connecting passengers on delay propagation," Journal of Transport Geography, Elsevier, vol. 98(C).
  4. Okwir, Simon & Amouzgar, Kaveh & Ng, Amos HC., 2025. "Exploring prediction accuracy for optimal taxi times in airport operations using various machine learning models," Journal of Air Transport Management, Elsevier, vol. 122(C).
  5. Arunmozhi, Manimuthu & Venkatesh, V.G. & Arisian, Sobhan & Shi, Yangyan & Raja Sreedharan, V., 2022. "Application of blockchain and smart contracts in autonomous vehicle supply chains: An experimental design," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 165(C).
  6. Chen, Gong & Fricke, Hartmut & Okhrin, Ostap & Rosenow, Judith, 2024. "Flight delay propagation inference in air transport networks using the multilayer perceptron," Journal of Air Transport Management, Elsevier, vol. 114(C).
  7. Zanin, Massimiliano, 2025. "Reconstructing functional networks of air transport delay propagations with minimal information," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 659(C).
  8. Li, Chi & Mao, Jianfeng & Li, Lingyi & Wu, Jingxuan & Zhang, Lianmin & Zhu, Jianyu & Pan, Zibin, 2024. "Flight delay propagation modeling: Data, Methods, and Future opportunities," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 185(C).
  9. Asadi, Amin & Nurre Pinkley, Sarah, 2021. "A stochastic scheduling, allocation, and inventory replenishment problem for battery swap stations," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 146(C).
  10. PeCoy, Michael D. & Redmond, Michael A., 2023. "Flight reliability during periods of high uncertainty," Journal of Air Transport Management, Elsevier, vol. 106(C).
  11. Nermin Zijadić & Emir Ganić & Matija Bračić & Igor Štimac, 2022. "Impact of Aircraft Delays on Population Noise Exposure in Airport’s Surroundings," IJERPH, MDPI, vol. 19(15), pages 1-20, July.
  12. Wang, Chunzheng & Hu, Minghua & Yang, Lei & Zhao, Zheng, 2022. "Improving the spatial-temporal generalization of flight block time prediction: A development of stacking models," Journal of Air Transport Management, Elsevier, vol. 103(C).
  13. Ziming Wang & Chaohao Liao & Xu Hang & Lishuai Li & Daniel Delahaye & Mark Hansen, 2022. "Distribution Prediction of Strategic Flight Delays via Machine Learning Methods," Sustainability, MDPI, vol. 14(22), pages 1-14, November.
  14. Sun, Xuting & Kuo, Yong-Hong & Xue, Weili & Li, Yanzhi, 2024. "Technology-driven logistics and supply chain management for societal impacts," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 185(C).
  15. Luo, Suyuan & Lin, Xudong & Zheng, Zunxin, 2019. "A novel CNN-DDPG based AI-trader: Performance and roles in business operations," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 131(C), pages 68-79.
  16. Wu, Weitiao & Li, Peng & Liu, Ronghui & Jin, Wenzhou & Yao, Baozhen & Xie, Yuanqi & Ma, Changxi, 2020. "Predicting peak load of bus routes with supply optimization and scaled Shepard interpolation: A newsvendor model," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 142(C).
  17. Khan, Waqar Ahmed & Ma, Hoi-Lam & Ouyang, Xu & Mo, Daniel Y., 2021. "Prediction of aircraft trajectory and the associated fuel consumption using covariance bidirectional extreme learning machines," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 145(C).
  18. Chu, Nana & Ng, Kam K.H. & Liu, Ye & Hon, Kai Kwong & Chan, Pak Wai & Li, Jianbing & Zhang, Xiaoge, 2024. "Assessment of approach separation with probabilistic aircraft wake vortex recognition via deep learning," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 181(C).
  19. Birolini, Sebastian & Jacquillat, Alexandre, 2023. "Day-ahead aircraft routing with data-driven primary delay predictions," European Journal of Operational Research, Elsevier, vol. 310(1), pages 379-396.
  20. Al-Bataineh Fuad & Khatatbeh Ahmed Ali & Alzubi Yazan, 2024. "Unsupervised machine learning for identifying key risk factors contributing to construction delays," Organization, Technology and Management in Construction, Sciendo, vol. 16(1), pages 170-185.
  21. Rajendran, Suchithra & Srinivas, Sharan, 2020. "Air taxi service for urban mobility: A critical review of recent developments, future challenges, and opportunities," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 143(C).
  22. Li, Max Z. & Ryerson, Megan S. & Balakrishnan, Hamsa, 2019. "Topological data analysis for aviation applications," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 128(C), pages 149-174.
  23. Jingyi Qu & Shixing Wu & Jinjie Zhang, 2023. "Flight Delay Propagation Prediction Based on Deep Learning," Mathematics, MDPI, vol. 11(3), pages 1-24, January.
  24. Dalmau, Ramon & Ballerini, Franck & Naessens, Herbert & Belkoura, Seddik & Wangnick, Sebastian, 2021. "An explainable machine learning approach to improve take-off time predictions," Journal of Air Transport Management, Elsevier, vol. 95(C).
  25. Kim, Myeonghyeon & Park, Sunwook, 2021. "Airport and route classification by modelling flight delay propagation," Journal of Air Transport Management, Elsevier, vol. 93(C).
  26. Guo, Zhen & Hao, Mengyan & Yu, Bin & Yao, Baozhen, 2022. "Detecting delay propagation in regional air transport systems using convergent cross mapping and complex network theory," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 157(C).
  27. Bojia Ye & Bo Liu & Yong Tian & Lili Wan, 2020. "A Methodology for Predicting Aggregate Flight Departure Delays in Airports Based on Supervised Learning," Sustainability, MDPI, vol. 12(7), pages 1-13, April.
  28. Rott, Julian & König, Fabian & Häfke, Hannes & Schmidt, Michael & Böhm, Markus & Kratsch, Wolfgang & Krcmar, Helmut, 2023. "Process Mining for resilient airport operations: A case study of Munich Airport’s turnaround process," Journal of Air Transport Management, Elsevier, vol. 112(C).
  29. 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).
  30. Li, Qiang & Wu, Lu & Guan, Xinjia & Tian, Ze-jin, 2024. "Interplay of network topologies in aviation delay propagation: A complex network and machine learning analysis," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 638(C).
  31. Ma, Hoi-Lam & Sun, Yige & Chung, Sai-Ho & Chan, Hing Kai, 2022. "Tackling uncertainties in aircraft maintenance routing: A review of emerging technologies," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 164(C).
  32. Mina Rahimi & Ashkan Hafezalkotob & Sobhan Asian & Luis Martínez, 2021. "Environmental Policy Making in Supply Chains under Ambiguity and Competition: A Fuzzy Stackelberg Game Approach," Sustainability, MDPI, vol. 13(4), pages 1-24, February.
  33. Haolin Li & Shuaian Wang & Lu Zhen & Xiaofan Wang, 2024. "Data-driven optimization for automated warehouse operations decarbonization," Annals of Operations Research, Springer, vol. 343(3), pages 1129-1156, December.
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