Analyzing the spatio-temporal correlation between tide and ship** behavior at estuarine port for energy-saving purposes

Y Shu, B Han, L Song, T Yan, L Gan, Y Zhu, C Zheng - Applied Energy, 2024 - Elsevier
Estuarine ports account for more than 80% of world ports. Considering the large portion of
ships depart and arrive at estuarine ports worldwide, using current and tide to departure and …

Quantifying Arctic oil spilling event risk by integrating an analytic network process and a fuzzy comprehensive evaluation model

X Chen, S Liu, RW Liu, H Wu, B Han, J Zhao - Ocean & Coastal …, 2022 - Elsevier
The development of economic globalization and increasing ice melting in Arctic area
enables Arctic ship** activities more convenient. Exploring impact of extreme events (ie …

A systematic analysis for maritime accidents causation in Chinese coastal waters using machine learning approaches

K Liu, Q Yu, Z Yuan, Z Yang, Y Shu - Ocean & Coastal Management, 2021 - Elsevier
Maritime safety is critical as many maritime accidents involve catastrophic consequences,
including both fatalities and financial loss. To identify the factors which caused maritime …

Review of maritime traffic models from vessel behavior modeling perspective

Y Zhou, W Daamen, T Vellinga… - … Research Part C …, 2019 - Elsevier
The importance of maritime transport keeps increasing with the trade globalization. With the
growing demand for waterborne transport, vessel traffic flows are also expected to increase …

Ship path planning based on safety potential field in inland rivers

L Gan, Z Yan, L Zhang, K Liu, Y Zheng, C Zhou… - Ocean Engineering, 2022 - Elsevier
With the growth of the ship** trade, inland water traffic is getting more prosperous than
ever. Meanwhile, the ship** risk in inland rivers increases gradually. In this paper, a path …

Maritime traffic situation awareness analysis via high-fidelity ship imaging trajectory

X Chen, J Zheng, C Li, B Wu, H Wu… - Multimedia Tools and …, 2024 - Springer
Situation awareness provides crucial yet instant information to maritime traffic participants,
and significant attentions are paid to implement traffic situation awareness task via various …

Geographical spatial analysis and risk prediction based on machine learning for maritime traffic accidents: A case study of Fujian sea area

Y Yang, Z Shao, Y Hu, Q Mei, J Pan, R Song, P Wang - Ocean Engineering, 2022 - Elsevier
Safety analysis according to the spatial distribution characteristics of maritime traffic
accidents is critical to maritime traffic safety management. An accident analysis framework …

[HTML][HTML] The promises and perils of Automatic Identification System data

T Emmens, C Amrit, A Abdi, M Ghosh - Expert Systems with Applications, 2021 - Elsevier
Abstract Automatic Identification System (AIS) is used to identify vessels in maritime
navigation. Currently, it is used for various commercial purposes. However, the abundance …

Ship classification based on ship behavior clustering from AIS data

Y Zhou, W Daamen, T Vellinga, SP Hoogendoorn - Ocean Engineering, 2019 - Elsevier
Since the introduction of the Automatic Identification System (AIS), AIS data has proven to be
a valuable source of ship behavior analysis using data mining. It records ship position …

k-GCN-LSTM: A k-hop Graph Convolutional Network and Long–Short-Term Memory for ship speed prediction

J Zhao, Z Yan, X Chen, B Han, S Wu, R Ke - Physica A: Statistical …, 2022 - Elsevier
Ship speed information plays an important role in the maritime intelligent transportation
system, and ship speed prediction has attracted extensive attention in maritime community …