Application of Advanced Technologies in Maritime Safety—Second Edition

A special issue of Journal of Marine Science and Engineering (ISSN 2077-1312). This special issue belongs to the section "Ocean Engineering".

Deadline for manuscript submissions: 30 September 2024 | Viewed by 742

Special Issue Editors


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Guest Editor
School of Precision Instrument and Opto-Electronics Engineering, Tianjin University, Tianjin 300072, China
Interests: laser technology; spectral imaging technology; marine Lidar technology
Special Issues, Collections and Topics in MDPI journals

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Guest Editor
School of Marine Science and Technology, Tianjin University, Tianjin 300072, China
Interests: ocean engineering; fluid-structure interaction; ocean data analysis
Special Issues, Collections and Topics in MDPI journals

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Guest Editor
Navigation College, Dalian Maritime University, Dalian 116026, China
Interests: maritime safety assurance; intelligent navigation technology; autonomous waterway transportation system; ship traffic organization and management; intelligent ship navigation; maritime big data analysis and integration
Special Issues, Collections and Topics in MDPI journals

Special Issue Information

Dear Colleagues,

The development of technologies such as mapping technology, positioning technology, imaging technology, communication technology, and intelligent equipment, or the hull’s own performance, have all profoundly promoted improvements in maritime safety. At the same time, the strong demand for advanced marine technologies as a result of the development of maritime engineering has sparked the creation of new technologies. The surge of autonomous navigation has also put forward higher requirements for technology and provided a stage for the display and application of these new technologies.

Now, Journal of Marine Science and Engineering is pleased to announce a new Special Issue, entitled “Application of Advanced Technologies in Maritime Safety—Second Edition”. This is based on the great success of our previous Special Issue with the same title: “Application of Advanced Technologies in Maritime Safety”.

This Special Issue focuses on recent developments in advanced technologies which can be applied to enhance maritime safety. It also provides a platform for both areas to communicate and converge. Topics of interest include, but are not limited to, the following:

  • Sensing and communicating in maritime;
  • High performance of ship hull;
  • Automatic identification system;
  • Marine measuring;
  • Sonar system integrating sound with laser;
  • Ship collision avoidance.

Prof. Dr. Degang Xu
Dr. Chenxu Wang
Prof. Dr. Jiaxuan Yang
Guest Editors

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Published Papers (1 paper)

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Research

23 pages, 16111 KiB  
Article
Advanced Human Reliability Analysis Approach for Ship Convoy Operations via a Model of IDAC and DBN: A Case from Ice-Covered Waters
by Yongtao Xi, Xiang Zhang, Bing Han, Yu Zhu, Cunlong Fan and Eunwoo Kim
J. Mar. Sci. Eng. 2024, 12(9), 1536; https://doi.org/10.3390/jmse12091536 - 3 Sep 2024
Viewed by 434
Abstract
The melting of Arctic ice has facilitated the successful navigation of merchant ships through the Arctic route, often requiring icebreakers for assistance. To reduce the risk of accidents between merchant vessels and icebreakers stemming from human errors during operations, this paper introduces an [...] Read more.
The melting of Arctic ice has facilitated the successful navigation of merchant ships through the Arctic route, often requiring icebreakers for assistance. To reduce the risk of accidents between merchant vessels and icebreakers stemming from human errors during operations, this paper introduces an enhanced human reliability assessment approach. This method utilizes the Dynamic Bayesian Network (DBN) model, integrated with the information, decision, and action in crew context (IDAC) framework. First, a qualitative analysis of crew maneuvering behavior in scenarios involving a collision with the preceding vessel during icebreaker assistance is conducted using the IDAC model. Second, the D–S evidence theory and cloud models are integrated to process multi-source subjective data. Finally, the human error probability of crew members is quantified using the DBN. The research results indicate that during convoy operations, the maximum probability that the officer on watch (OOW) chooses an incorrect deceleration strategy is 8.259×102 and the collision probability is 4.129×103. Furthermore, this study also found that the factors of Team Effectiveness and Knowledge/Abilities during convoy operations have the greatest impact on collision occurrence. This research provides important guidance and recommendations for the safe navigation of merchant ships in the Arctic waters. By reducing human errors and adopting appropriate preventive measures, the risk of collisions between merchant ships and icebreakers can be significantly decreased. Full article
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