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

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Cited by:

  1. Jingyi Qu & Shixing Wu & Jinjie Zhang, 2023. "Flight Delay Propagation Prediction Based on Deep Learning," Mathematics, MDPI, vol. 11(3), pages 1-24, January.
  2. 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).
  3. 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.
  4. 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).
  5. 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).
  6. 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).
  7. 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).
  8. Kim, Myeonghyeon & Park, Sunwook, 2021. "Airport and route classification by modelling flight delay propagation," Journal of Air Transport Management, Elsevier, vol. 93(C).
  9. 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).
  10. 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.
  11. 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).
  12. 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).
  13. 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).
  14. 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.
  15. 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).
  16. 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).
  17. 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.
  18. 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).
  19. 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).
  20. 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.
  21. 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).
  22. 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).
  23. 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).
  24. 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.
  25. PeCoy, Michael D. & Redmond, Michael A., 2023. "Flight reliability during periods of high uncertainty," Journal of Air Transport Management, Elsevier, vol. 106(C).
  26. 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).
  27. 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).
  28. 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.
  29. 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.
  30. 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.
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