High-accuracy prediction of vessels’ estimated time of arrival in seaports: A hybrid machine learning approach

Optimizing the Estimated Time of Arrival (ETA) for seaport-bound vessels is crucial to maritime operations since inaccurate ETA predictions can have a ripple effect, causing vessel schedule disruptions, congestion, and decreased port operational effectiveness. To address these challenges and fill su...

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Bibliographic Details
Main Authors:	Sunny Md. Saber, Kya Zaw Thowai, Muhammad Asifur Rahman, Md. Mehedi Hassan, A.B.M. Mainul Bari, Asif Raihan
Format:	Article
Language:	English
Published:	Elsevier 2025-06-01
Series:	Maritime Transport Research
Subjects:	Estimated time of arrivals (ETA) prediction Marine vessels Port management Ensemble method Machine learning
Online Access:	http://www.sciencedirect.com/science/article/pii/S2666822X2500005X
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High-accuracy prediction of vessels’ estimated time of arrival in seaports: A hybrid machine learning approach

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