Spatial-temporal quantification of Yangtze River traffic flow using AIS data DOI
Yue Cui, Yanming Chen,

Y S Chen

и другие.

Ocean Engineering, Год журнала: 2024, Номер 318, С. 120144 - 120144

Опубликована: Дек. 24, 2024

Язык: Английский

Wave energy forecasting: A state-of-the-art survey and a comprehensive evaluation DOI
Ruobin Gao, Xiaocai Zhang, Maohan Liang

и другие.

Applied Soft Computing, Год журнала: 2025, Номер 170, С. 112652 - 112652

Опубликована: Янв. 8, 2025

Язык: Английский

Процитировано

1

AIS-based geospatial analysis on spot contract of dry bulk carriers DOI Creative Commons
Trang Thi Thu Tran,

Liwen Murong,

Lei Liu

и другие.

Research in Transportation Business & Management, Год журнала: 2025, Номер 59, С. 101315 - 101315

Опубликована: Фев. 18, 2025

Язык: Английский

Процитировано

0

Port Node Importance and Risk Assessment in Shipping Networks Based on An Improved PageRank Approach and Reliability Analysis DOI
Li Ding, Cheng Cheng, Xilu Zhao

и другие.

SAE technical papers on CD-ROM/SAE technical paper series, Год журнала: 2025, Номер 1

Опубликована: Фев. 21, 2025

<div class="section abstract"><div class="htmlview paragraph">Since the rapid development of shipping and port industries in second half twentieth century, introduction container technology has transformed cargo management systems, while simultaneously increasing vulnerability global networks to natural disasters international conflicts. To address this challenge, study leverages AIS data sourced from Vessel Traffic Data website extract ship stop trajectories construct a network. The constructed network exhibits small-world characteristics, with most nodes having low degree values, few ports possess extremely high values. Furthermore, improved PageRank algorithm assess importance introduced reliability theory risk assessment analyze failure risks nodes, providing new methods perspectives for analyzing network.</div></div>

Язык: Английский

Процитировано

0

A graph attention network-based learning framework for automatic detection of abnormal vessel behaviors DOI
Maohan Liang, Y. Zhang, Qiqiang Jin

и другие.

Ocean Engineering, Год журнала: 2025, Номер 325, С. 120700 - 120700

Опубликована: Фев. 27, 2025

Язык: Английский

Процитировано

0

Big-data-driven vessel destination prediction for smart port management DOI
Jin Chen, Qiang Zhang, Maohan Liang

и другие.

Engineering Applications of Artificial Intelligence, Год журнала: 2025, Номер 154, С. 110829 - 110829

Опубликована: Май 1, 2025

Процитировано

0

The impacts of geopolitics on global Liquefied Natural Gas (LNG) shipping network: Evidence from two geopolitical events DOI Creative Commons
M. Liu, Yuanzhe Liu, Christina W.Y. Wong

и другие.

Ocean & Coastal Management, Год журнала: 2025, Номер 267, С. 107706 - 107706

Опубликована: Май 3, 2025

Язык: Английский

Процитировано

0

TrajReducer: a cross-dimension indexer-based reducer for vessel destination prediction DOI Creative Commons
Chengkai Zhang, Zheng Liu

Ocean Engineering, Год журнала: 2025, Номер 332, С. 121404 - 121404

Опубликована: Май 9, 2025

Язык: Английский

Процитировано

0

Spatial-temporal quantification of Yangtze River traffic flow using AIS data DOI
Yue Cui, Yanming Chen,

Y S Chen

и другие.

Ocean Engineering, Год журнала: 2024, Номер 318, С. 120144 - 120144

Опубликована: Дек. 24, 2024

Язык: Английский

Процитировано

1