A machine learning method for the recognition of ship behavior using AIS data DOI Creative Commons

Quandang Ma,

S. Lian, Jinfen Zhang

et al.

Ocean Engineering, Journal Year: 2024, Volume and Issue: 315, P. 119791 - 119791

Published: Nov. 23, 2024

Language: Английский

Evolutionary model and risk analysis of ship collision accidents based on complex networks and DEMATEL DOI Creative Commons
Jiahui Shi, Zhengjiang Liu, Yinwei Feng

et al.

Ocean Engineering, Journal Year: 2024, Volume and Issue: 305, P. 117965 - 117965

Published: April 24, 2024

Language: Английский

Citations

31
Regional ship collision risk prediction: An approach based on encoder-decoder LSTM neural network model DOI

Chenyan Lin,

Zhen Rong,

Yanting Tong

et al.

Ocean Engineering, Journal Year: 2024, Volume and Issue: 296, P. 117019 - 117019

Published: Feb. 8, 2024

Language: Английский

Citations

16
Vessel turnaround time prediction: A machine learning approach DOI
Zhong Chu, Ran Yan, Shuaian Wang

et al.

Ocean & Coastal Management, Journal Year: 2024, Volume and Issue: 249, P. 107021 - 107021

Published: Jan. 20, 2024

Language: Английский

Citations

12
A data mining-then-predict method for proactive maritime traffic management by machine learning DOI Creative Commons
Zhao Liu, Wanli Chen, Cong Liu

et al.

Engineering Applications of Artificial Intelligence, Journal Year: 2024, Volume and Issue: 135, P. 108696 - 108696

Published: June 7, 2024

Language: Английский

Citations

12
A spatial-temporal data mining method for the extraction of vessel traffic patterns using AIS data DOI Creative Commons
Jiaxuan Yang,

Xingpei Bian,

Yuhao Qi

et al.

Ocean Engineering, Journal Year: 2024, Volume and Issue: 293, P. 116454 - 116454

Published: Jan. 8, 2024

Current traffic pattern mining methods fail to incorporate the temporal co-occurrence of characteristics. To address this problem, a new spatial-temporal data method is developed involving three steps. Firstly, three-dimensional tensor constructed utilizing AIS data. The discretized and numbered so that each entry represented by one-dimensional array includes region, time, ship type, speed numbers. Then mapped tensor. Second, non-negative factorization (NTF) used break down into multiple sub-tensors (i.e., patterns). effect rank number patterns) discussed, appropriate value determined. Thirdly, patterns are derived from subsequently analyzed in accordance with actual circumstances. demonstrate feasibility method, 9 obtained Tianjin port-Caofeidian waters. These reveal presentation spatio-temporal distribution activities different types, navigation types space, strategic values for port planning, maritime safety sustainability.

Language: Английский

Citations

11
Complex network-based risk analysis for maritime heavy casualties in China during 2012–2021 DOI
Weiliang Qiao,

Hongtongyang Guo,

Wanyi Deng

et al.

Ocean Engineering, Journal Year: 2024, Volume and Issue: 308, P. 118258 - 118258

Published: May 29, 2024

Language: Английский

Citations

11
PSO-Based Predictive PID-Backstepping Controller Design for the Course-Keeping of Ships DOI Creative Commons
Bowen Lin, Mao Zheng, Bing Han

et al.

Journal of Marine Science and Engineering, Journal Year: 2024, Volume and Issue: 12(2), P. 202 - 202

Published: Jan. 23, 2024

Ship course-keeping control is of great significance to both navigation efficiency and safety. Nevertheless, the complex navigational conditions, unknown time-varying environmental disturbances, dynamic characteristics ships pose difficulties for ship course-keeping. Thus, a PSO-based predictive PID-backstepping (P-PB) controller proposed in this paper realize efficient rapid ships. The takes ship’s target course, current yawing speed, as well motion parameters into consideration. In design controller, PID improved by introducing control. Then, combined with backstepping balance stability Subsequently, are optimized utilizing Particle Swarm Optimization (PSO), which can adaptively adjust value various scenarios, thus further increase its efficiency. Finally, validated carrying out simulation tests scenarios. results show that it improves error time-response specification 4.19% 9.71% on average, respectively, efficiently achieve under

Language: Английский

Citations

8
Identifying influential ships in multi-ship encounter situation complex network based on improved WVoteRank approach DOI

Yanting Tong,

Zhen Rong,

Han Dong

et al.

Ocean Engineering, Journal Year: 2023, Volume and Issue: 284, P. 115192 - 115192

Published: June 30, 2023

Language: Английский

Citations

15
A novel deterministic search-based algorithm for multi-ship collaborative collision avoidance decision-making DOI
Zhen Rong, Ziqiang Shi, Qiyong Gu

et al.

Ocean Engineering, Journal Year: 2023, Volume and Issue: 292, P. 116524 - 116524

Published: Dec. 14, 2023

Language: Английский

Citations

14
Port State Control Inspections under the Paris Memorandum of Understanding and Their Contribution to Maritime Safety: Additional Risk Classifications and Indicators Using Multivariate Techniques DOI Creative Commons
David Almorza Gomar, José Manuel Celorio Prieto, Víctor Amor‐Esteban

et al.

Journal of Marine Science and Engineering, Journal Year: 2024, Volume and Issue: 12(4), P. 533 - 533

Published: March 23, 2024

Port State Control (PSC) inspections conducted under the Paris Memorandum of Understanding (MoU) agreement have become a crucial tool for maritime administrations in European Union countries to ensure compliance with international safety standards by ships entering their ports. This paper analyses all PSC 10 major ports belonging MoU between 2012 and 2019. For its study, multivariate HJ-Biplot statistical analysis is carried out, which facilitates interpretation understanding underlying relationships data set representing synthesis on factorial plane, an that very intuitive accessible readers from various fields. Applying this method ship characteristics as explanatory variables, several classifications were derived. These align annual performance lists published International Association Classification Societies list, suggesting could serve reliable classification approach. It provides authorities additional indicator ship’s risk profile, aiding prioritising inspections. The also effectively categorises types used cargo transport, offering insights into specific traffic each port experiences. Furthermore, study identifies associated substandard ships, primary objective Beyond revealing these traits, research underscores existence readily applicable techniques enhance reduce ocean pollution.

Language: Английский

Citations

5