[HTML][HTML] Research in marine accidents: A bibliometric analysis, systematic review and future directions

Y Cao, X Wang, Z Yang, J Wang, H Wang, Z Liu - Ocean Engineering, 2023 - Elsevier
In order to analyse the research evolution and knowledge frontier in the research of marine
accidents, 491 literatures on marine accidents in the Web of Science database from 2000 to …

[HTML][HTML] Sustainable transition towards greener and cleaner seaborne shipping industry: Challenges and opportunities

O Oloruntobi, K Mokhtar, A Gohari, S Asif… - Cleaner Engineering and …, 2023 - Elsevier
This study investigates the growing concerns surrounding seaborne shipping and
increasing expectations in the maritime sector due to the technological revolution. This study …

[HTML][HTML] A machine learning method for the prediction of ship motion trajectories in real operational conditions

M Zhang, P Kujala, M Musharraf, J Zhang, S Hirdaris - Ocean Engineering, 2023 - Elsevier
This paper presents a big data analytics method for the proactive mitigation of grounding
risk. The model encompasses the dynamics of ship motion trajectories while accounting for …

[HTML][HTML] A machine learning method for the evaluation of ship grounding risk in real operational conditions

M Zhang, P Kujala, S Hirdaris - Reliability Engineering & System Safety, 2022 - Elsevier
Ship groundings may often lead to damages resulting in oil spills or ship flooding and
subsequent capsizing. Risks can be estimated qualitatively through experts' judgment or …

A framework for quantitative analysis of the causation of grounding accidents in arctic shipping

S Fu, Y Yu, J Chen, Y Xi, M Zhang - Reliability Engineering & System Safety, 2022 - Elsevier
Abstract The melting of Arctic Sea ice has significantly facilitated Arctic shipping. However,
such increased shipping has brought about higher maritime accidents in Arctic waters …

Ship imaging trajectory extraction via an aggregated you only look once (YOLO) model

X Chen, M Wang, J Ling, H Wu, B Wu, C Li - Engineering Applications of …, 2024 - Elsevier
Maritime traffic community has paid a huge amount of focuses to establish maritime
intelligent transportation infrastructure for the purpose of enhancing maritime traffic safety …

[HTML][HTML] A quantitative method for the analysis of ship collision risk using AIS data

Z Liu, B Zhang, M Zhang, H Wang, X Fu - Ocean Engineering, 2023 - Elsevier
Ship collision risk analysis is of great significance for maritime traffic management and
surveillance in real operational conditions. However, the traditional concept of the closest …

An interpretable knowledge-based decision support method for ship collision avoidance using AIS data

J Zhang, J Liu, S Hirdaris, M Zhang, W Tian - Reliability Engineering & …, 2023 - Elsevier
AIS data include ship spatial-temporal and motion parameters which can be used to
excavate the deep-seated information. In this article, an interpretable knowledge-based …

[HTML][HTML] Multi-scale collision risk estimation for maritime traffic in complex port waters

X Xin, K Liu, S Loughney, J Wang, H Li, N Ekere… - Reliability Engineering & …, 2023 - Elsevier
Ship collision risk estimation is an essential component of intelligent maritime surveillance
systems. Traditional risk estimation approaches, which can only analyze traffic risk in one …

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 shipping trade, inland water traffic is getting more prosperous than
ever. Meanwhile, the shipping risk in inland rivers increases gradually. In this paper, a path …