Research on global ship cargo capacity prediction based on multi-source heterogeneous data

Research on global ship cargo capacity prediction based on multi-source heterogeneous data

Maritime cargo capacity serves as a critical indicator of port efficiency and regional economic impact, yet reliable data remain constrained by operational and commercial complexities. This study addresses this gap by leveraging maritime big data to compare traditional empirical methods with machine...

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Bibliographic Details
Main Authors: Shuhang Chen, Zhihuan Wang, Tianye Lu, Jiayang Zhu, Chunchang Zhang, Xiangming Zeng, Jiayi Wang, Zandi Shang
Format: Article
Language:English
Published: Frontiers Media S.A. 2025-07-01
Series:Frontiers in Marine Science
Subjects:
ship cargo capacity prediction
machine learning
shipping big data
draught depth
high accuracy
Online Access:https://www.frontiersin.org/articles/10.3389/fmars.2025.1632661/full
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https://www.frontiersin.org/articles/10.3389/fmars.2025.1632661/full

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