Maritime Security and Risk Assessments—2nd 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: 28 February 2025 | Viewed by 2767

Special Issue Editors


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Guest Editor
Faculty of Maritime Studies and Transport, University of Ljubljana, 6320 Portorož, Slovenia
Interests: safety of navigation; marine engineering; VTS; remote sensing of oil pollution; simulator-based maritime training
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Guest Editor
Faculty of Maritime Studies, University of Split, Split, Croatia
Interests: navigation; maritime safety; security; hydrographic engineering; naval science

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Guest Editor
Faculty of Maritime Studies and Transport, University of Ljubljana, 6320 Portorož, Slovenia
Interests: maritime policy; maritime security and safety; maritime cyber security; naval science

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Guest Editor
Navigation Department, Maritime University of Szczecin, Szczecin, Poland
Interests: sea navigation; risk; security; reliability; safety; marine operations; ocean engineering; process safety; LNG transport; gas handling; port design
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Guest Editor
German Aerospace Center (DLR), Institute of Systems Engineering for Future Mobility, Escherweg 2, 26121 Oldenburg, Germany
Interests: safety engineering methods; classification of automated and assisted maritime systems; maritime traffic management
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Special Issue Information

Dear Colleagues,

Maritime transport is relatively safe and clean, but intensive and costly efforts are required to maintain this status. Because of continuing technological advances, the operation of systems aboard commercial vessels is becoming more specialized and complex. The development of automated systems to monitor, analyze, and regulate the various operations or services on board relies on the use of computer applications to centralize and optimize decision making. Such systems are highly vulnerable to cyberattacks. In addition, crew downsizing and the general trend of reducing the number of people on ships are being implemented on a large scale. In some ports, pilotage services are already being performed remotely. Recently, the first LNG ship sailed autonomously across the ocean, and various maritime universities are already preparing for the new era of seafarers who will remotely monitor and control the navigation and propulsion elements of ships. There are many technical and regulatory challenges, such as the robustness and resilience of autonomous navigation technology, onboard systems, communications, shore traffic management, piracy, and cybersecurity. Additionally, ports are a key element in the maritime transport chain that are also vulnerable to cyberattacks. In addition, larger ships and higher traffic volumes at ports can lead to higher risks at the shipping level. A particularly topical issue recently has been the navigation of ships through hazardous areas where AIS systems and navigation radars are switched off for safety reasons and where electromagnetic radiation may be visible to missiles and drones.

With this Special Issue, we are seeking contributions that address theoretical and technical challenges (as well as best practices) that promote potential solutions for maritime risk mitigation. Beyond the scientific interest of various studies and the technical task of proposing new measures to improve maritime safety in the face of challenges uninvited by ports, we would like this Special Issue to relate to current issues in general, such as the role of seafarers in autonomous shipping and related training issues.

We are seeking the submission of high-quality papers presenting new research and case studies in the field of maritime safety, security, and risk in general.

Dr. Marko Perkovič
Prof. Dr. Ivica Pavić
Dr. Andrej Androjna
Prof. Dr. Maciej Gucma
Dr. Sebastian Feuerstack
Guest Editors

Manuscript Submission Information

Manuscripts should be submitted online at www.mdpi.com by registering and logging in to this website. Once you are registered, click here to go to the submission form. Manuscripts can be submitted until the deadline. All submissions that pass pre-check are peer-reviewed. Accepted papers will be published continuously in the journal (as soon as accepted) and will be listed together on the special issue website. Research articles, review articles as well as short communications are invited. For planned papers, a title and short abstract (about 100 words) can be sent to the Editorial Office for announcement on this website.

Submitted manuscripts should not have been published previously, nor be under consideration for publication elsewhere (except conference proceedings papers). All manuscripts are thoroughly refereed through a single-blind peer-review process. A guide for authors and other relevant information for submission of manuscripts is available on the Instructions for Authors page. Journal of Marine Science and Engineering is an international peer-reviewed open access monthly journal published by MDPI.

Please visit the Instructions for Authors page before submitting a manuscript. The Article Processing Charge (APC) for publication in this open access journal is 2600 CHF (Swiss Francs). Submitted papers should be well formatted and use good English. Authors may use MDPI's English editing service prior to publication or during author revisions.

Keywords

  • maritime cyber risk and security
  • safety of navigation
  • threat modeling
  • maritime risk management
  • VTS systems
  • e-navigation
  • pilotage
  • remote pilotage
  • large ship berthing operations
  • navigation in narrow and restricted areas
  • port risk assessment
  • autonomous vessels
  • education and training

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Published Papers (2 papers)

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Research

16 pages, 4610 KiB  
Article
Using the Bayes Probability Model to Evaluate the Risk of Accidents Caused by the Electronic Chart Display and Information System
by Lea Vojković, Mario Bakota and Ana Kuzmanić Skelin
J. Mar. Sci. Eng. 2024, 12(8), 1391; https://doi.org/10.3390/jmse12081391 - 14 Aug 2024
Viewed by 662
Abstract
The obligated implementation of the Electronic Chart Display and Information System (ECDIS) began ten years ago, and during this time, we could observe different types of familiarization with the system through its users. The incorrect use of the ECDIS is a problem recognized [...] Read more.
The obligated implementation of the Electronic Chart Display and Information System (ECDIS) began ten years ago, and during this time, we could observe different types of familiarization with the system through its users. The incorrect use of the ECDIS is a problem recognized by the International Hydrographic Organization (IHO), and it is caused by disparate levels of education and the quality of courses. Another aspect of the recognized problem is the unequal length of the ECDIS specific course training period through which users acquire type-specific familiarization with the system. Switching between different types of ECDISs makes users more prone to errors until they become fully familiar with the new product system. This paper analyzes seafarers’ knowledge and ECDIS usage over a 6-year period. Based on obtained data, models that enable risk analysis based on conditional probability were created. This paper presents the use of Bayesian modeling to reduce errors in maritime accidents caused by inadequate use of the ECDIS. Full article
(This article belongs to the Special Issue Maritime Security and Risk Assessments—2nd Edition)
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20 pages, 9503 KiB  
Article
Manipulation-Compliant Artificial Potential Field and Deep Q-Network: Large Ships Path Planning Based on Deep Reinforcement Learning and Artificial Potential Field
by Weifeng Xu, Xiang Zhu, Xiaori Gao, Xiaoyong Li, Jianping Cao, Xiaoli Ren and Chengcheng Shao
J. Mar. Sci. Eng. 2024, 12(8), 1334; https://doi.org/10.3390/jmse12081334 - 6 Aug 2024
Viewed by 1141
Abstract
Enhancing the path planning capabilities of ships is crucial for ensuring navigation safety, saving time, and reducing energy consumption in complex maritime environments. Traditional methods, reliant on static algorithms and singular models, are frequently limited by the physical constraints of ships, such as [...] Read more.
Enhancing the path planning capabilities of ships is crucial for ensuring navigation safety, saving time, and reducing energy consumption in complex maritime environments. Traditional methods, reliant on static algorithms and singular models, are frequently limited by the physical constraints of ships, such as turning radius, and struggle to adapt to the maritime environment’s variability and emergencies. The development of reinforcement learning has introduced new methods and perspectives to path planning by addressing complex environments, achieving multi-objective optimization, and enhancing autonomous learning and adaptability, significantly improving the performance and application scope. In this study, we introduce a two-stage path planning approach for large ships named MAPF–DQN, combining Manipulation-Compliant Artificial Potential Field (MAPF) with Deep Q-Network (DQN). In the first stage, we improve the reward function in DQN by integrating the artificial potential field method and use a time-varying greedy algorithm to search for paths. In the second stage, we use the nonlinear Nomoto model for path smoothing to enhance maneuverability. To validate the performance and effectiveness of the algorithm, we conducted extensive experiments using the model of “Yupeng” ship. Case studies and experimental results demonstrate that the MAPF–DQN algorithm can find paths that closely match the actual trajectory under normal environmental conditions and U-shaped obstacles. In summary, the MAPF–DQN algorithm not only enhances the efficiency of path planning for large ships, but also finds relatively safe and maneuverable routes, which are of great significance for maritime activities. Full article
(This article belongs to the Special Issue Maritime Security and Risk Assessments—2nd Edition)
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