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

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...

Full description

Saved in:
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
Tags: Add Tag
No Tags, Be the first to tag this record!

Internet

http://www.sciencedirect.com/science/article/pii/S2666822X2500005X

Similar Items