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Applications of machine learning methods in port operations – A systematic literature review

Citations

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Cited by:

  1. Li, Kunpeng & Wang, Lan & Gharehgozli, Amir & Joo, Seong-Jong & Lee, Jun-Yeon, 2025. "Optimal quality design of smart technologies for port digitalization: A game theoretical approach under digitalization synergy," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 204(C).
  2. Liqun Liu & Yuanjun Feng & Qingcheng Zeng & Zhijun Chen & Yaqiu Li, 2025. "A Q-learning-based algorithm for the block relocation problem," Journal of Heuristics, Springer, vol. 31(1), pages 1-41, March.
  3. Mariam I. Adeoba & Thanyani Pandelani & Harry Ngwangwa & Tracy Masebe, 2025. "The Role of Artificial Intelligence in Sustainable Ocean Waste Tracking and Management: A Bibliometric Analysis," Sustainability, MDPI, vol. 17(9), pages 1-31, April.
  4. Kumar, Suraj & Sharma, Ayush & Kumar, Gaurav, 2025. "Data-driven predictive model for dynamic expected travel time estimation in rail freight networks: A case study," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 200(C).
  5. Raihan, Asif & Hasnat, Md Al & Rahman, Syed Masiur & Ridwan, Mohammad & Rahman, Md Masudur & Islam, Md Tasbirul & Sarker, Tapan & Dhar, Bablu Kumar & Bari, ABM Mainul, 2025. "Recent advancements in alternative energies, technological innovations, and optimization strategies for seaport decarbonization," Innovation and Green Development, Elsevier, vol. 4(3).
  6. Mohammad Halakoo & Hao Yang & Harith Abdulsattar, 2023. "Heterogeneity Aware Emission Macroscopic Fundamental Diagram (e-MFD)," Sustainability, MDPI, vol. 15(2), pages 1-18, January.
  7. Zhang, Jun & Karim, Azharul & Sutar, Parag Prakash & Mujumdar, Arun S. & Wang, Zhen-Xing & Shi, You-Sheng & Liu, Shu-Lin & Lv, Wei-Qiao & Xiao, Hong-Wei, 2026. "Sustainable development of drying technologies for agricultural products: recent advances, challenges, and future prospects," Renewable and Sustainable Energy Reviews, Elsevier, vol. 226(PD).
  8. Yu, Yugang & Wang, Bo & Zheng, Shengming, 2024. "Data-driven product design and assortment optimization," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 182(C).
  9. Li, Huanhuan & Xing, Wenbin & Jiao, Hang & Yuen, Kum Fai & Gao, Ruobin & Li, Yan & Matthews, Christian & Yang, Zaili, 2024. "Bi-directional information fusion-driven deep network for ship trajectory prediction in intelligent transportation systems," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 192(C).
  10. Lorenz Kolley & Nicolas Rückert & Marvin Kastner & Carlos Jahn & Kathrin Fischer, 2023. "Robust berth scheduling using machine learning for vessel arrival time prediction," Flexible Services and Manufacturing Journal, Springer, vol. 35(1), pages 29-69, March.
  11. Xie, Ying & Song, Dong-Ping & Dong, Jingxin & Feng, Yuanjun, 2025. "Predicting out-terminals for imported containers at seaports using machine learning: Incorporating unstructured data and measuring operational costs due to misclassifications," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 202(C).
  12. Li, Huanhuan & Jiao, Hang & Yang, Zaili, 2023. "AIS data-driven ship trajectory prediction modelling and analysis based on machine learning and deep learning methods," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 175(C).
  13. Zhang, Xiaoju & Jia, Nan & Song, Dongping & Liu, Baoli, 2024. "Modelling and analyzing the stacking strategies in automated container terminals," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 187(C).
  14. Belhadi, Amine & Venkatesh, Mani & Kamble, Sachin & Abedin, Mohammad Zoynul, 2024. "Data-driven digital transformation for supply chain carbon neutrality: Insights from cross-sector supply chain," International Journal of Production Economics, Elsevier, vol. 270(C).
  15. Siyavash Filom & Satrya Dewantara & Mahnam Saeednia & Saiedeh Razavi, 2025. "Adaptive Intermodal Transportation for Freight Resilience: An Integrated and Flexible Strategy for Managing Disruptions," Logistics, MDPI, vol. 9(3), pages 1-33, August.
  16. Abderaouf Benghalia & Amani Ferdjallah & Mustapha Oudani & Jaouad Boukachour, 2025. "Machine Learning and Simulation for Efficiency and Sustainability in Container Terminals," Sustainability, MDPI, vol. 17(7), pages 1-22, March.
  17. Su, Miao & Li, Jiankun & Kim, Woohyoung, 2025. "Port ship congestion and Port-oriented cities air pollution: the role of machine learning models in transportation environmental governance," Transport Policy, Elsevier, vol. 171(C), pages 896-915.
  18. Fuentes, Gabriel & Munim, Ziaul Haque, 2025. "Climate influence on Panama Canal operations: Predicting canal water times with integrated environmental and operational data," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 203(C).
  19. Ding, Yida & Wandelt, Sebastian & Wu, Guohua & Xu, Yifan & Sun, Xiaoqian, 2023. "Towards efficient airline disruption recovery with reinforcement learning," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 179(C).
  20. Ghosh, Indranil & De, Arijit, 2024. "Maritime Fuel Price Prediction of European Ports using Least Square Boosting and Facebook Prophet: Additional Insights from Explainable Artificial Intelligence," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 189(C).
  21. Kuo, Hsin-Tsz & Choi, Tsan-Ming, 2024. "Metaverse in transportation and logistics operations: An AI-supported digital technological framework," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 185(C).
  22. Filom, Siyavash & Razavi, Saiedeh, 2025. "A learning-based robust optimization framework for synchromodal freight transportation under uncertainty," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 195(C).
  23. Abdulrashid, Ismail & Zanjirani Farahani, Reza & Mammadov, Shamkhal & Khalafalla, Mohamed & Chiang, Wen-Chyuan, 2024. "Explainable artificial intelligence in transport Logistics: Risk analysis for road accidents," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 186(C).
  24. Tan, Runzhi & Wang, Peixiang & Tao, Jinghan & Zhou, Yaoming & Qin, Wei & Huang, Heng & Zou, Ying, 2025. "The bay-based quay crane scheduling problem considering time-varying handling capacities in automated container terminals," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 201(C).
  25. Namal Bandaranayake & Senevi Kiridena & Asela K. Kulatunga & Hoa Dam, 2024. "Analysing cross-border logistics operations for performance improvement: development and validation of a reference model," Operations Management Research, Springer, vol. 17(4), pages 1531-1552, December.
  26. Hong, Le & Wang, Ruihan & Chen, Hao & Cui, Weicheng & Tsoulakos, Nikolaos & Yan, Ran, 2025. "Evolutionary game-based ship inspection planning considering ship competitive interactions," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 196(C).
  27. Raeesi, Ramin & Sahebjamnia, Navid & Mansouri, S. Afshin, 2023. "The synergistic effect of operational research and big data analytics in greening container terminal operations: A review and future directions," European Journal of Operational Research, Elsevier, vol. 310(3), pages 943-973.
  28. Xu, Haonan & Liu, Jiaguo & Xu, Xiaofeng & Chen, Jihong & Yue, Xiaohang, 2024. "The impact of AI technology adoption on operational decision-making in competitive heterogeneous ports☆," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 183(C).
  29. Wang, Ruihan & Zhang, Mingyang & Gong, Fuzhong & Wang, Shaohan & Yan, Ran, 2025. "Improving port state control through a transfer learning-enhanced XGBoost model," Reliability Engineering and System Safety, Elsevier, vol. 253(C).
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