Automatic Identification System-Based Prediction of Tanker and Cargo Estimated Time of Arrival in Narrow Waterways

Automatic Identification System-Based Prediction of Tanker and Cargo Estimated Time of Arrival in Narrow Waterways

In maritime logistics, accurately predicting the Estimated Time of Arrival (ETA) of vessels is pivotal for optimizing port operations and the global supply chain. This study proposes a machine learning method for predicting ETA, drawing on historical Automatic Identification System (AIS) data spanni...

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Bibliographic Details
Main Authors: Homayoon Arbabkhah, Atefe Sedaghat, Masood Jafari Kang, Maryam Hamidi
Format: Article
Language:English
Published: MDPI AG 2024-01-01
Series:Journal of Marine Science and Engineering
Subjects:
travel time
ETA prediction
AIS data
XGBoost
Online Access:https://www.mdpi.com/2077-1312/12/2/215

Internet

https://www.mdpi.com/2077-1312/12/2/215

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