Special Issue "Research and Evaluation of Ship Collision Risk"
Deadline for manuscript submissions: 31 March 2024 | Viewed by 1284
Interests: maritime safety; ship collision risk; risk analysis; autonomous ship; AIS; big data
Interests: safety and systems engineering; risk analysis; maritime safety; winter navigation; autonomous ships
Special Issues, Collections and Topics in MDPI journals
Special Issue in Journal of Marine Science and Engineering: Advances in Safety, Security and Cybersecurity of Maritime Autonomous Surface Ships
Special Issue in Journal of Marine Science and Engineering: Data/Knowledge-Driven Behaviour Analysis for Maritime Autonomous Surface Ships—2nd Edition
Interests: autonomous collision avoidance of ships in order to reduce the incidence of maritime accidents; maritime; geographic information system; shipping; transportation; maritime security; transport management; transportation planning
Special Issues, Collections and Topics in MDPI journals
The research on ship collision risk, its control, and management, have always been the fundamental aspects in the discipline of safety science and maritime transportation. In the meantime, the advancements of the topic also attract industries and create business opportunities to make a contribution to the improvement of the safety of waterborne transportation.
Aim and scope:
The main goal of this Special Issue is to address the development of the research and evaluation of ship collision risk, and its challenges in the process of research and development of ship collision risk on various aspects: new concepts, methodologies, methods, models, and applications, etc.
The research on ship collision risk has always focused on the safety of maritime transport and has been continuously drawing much attention from both academia and industry to develop new methods, models, tools, and systems to improve the accuracy, effectiveness, and reliability of the risk analysis results and facilitate the management of maritime safety.
Data-drive ship collision risk modeling, knowledge-based decision making, autonomous ship collision avoidance, risk-based design of autonomous ships, etc.
What kind of paper we are looking for:
Literature review, bibliometric analysis, research papers, etc. that focus on new insights, methodologies, methods, models and applications of research and evaluation of ship collision risks.
Waterborne transportation has been playing a significant role in the development of the global economy. A series of new technologies, new concepts, and a continuously growing number of ships brought new realities to the development of the shipping industry and waterborne transportation. However, maritime accident, especially ship collision accident has been posing a threat to individual, societies, and industries from various aspects due to their dire consequences in terms of loss of life, economic loss, environmental pollution, and negative impact on the logistic network and social awareness, etc.
To address the new advancements in the field of research and evaluation of ship collision risk, the focus of this Special Issue will be devoted to the new insights and experiences, that are promising to share among the researchers and developers in this field. The topics of interest for this Special Issue include, but are not limited to, the following aspects:
- Literature review, bibliometric analysis, etc. on the research and evaluation of ship collision risk.
- New methods for ship collision risk modeling for the individual ship.
- Risk-based decision-making, path planning, and control for the individual ship.
- Risk modeling and collision avoidance in complicated scenarios, e.g., inland navigation, multi-ship encounters, etc.
- Data-driven methods or applications of artificial intelligence on ship collision risk analysis.
- New methods and insights on regional ship collision risk analysis, modeling, and management.
- Risk-based ship behavior analysis.
- The new method, insights, and models on causation analysis of ship collision accidents.
- Methods, models, and applications of accident-based research and evaluation of ship collision risk.
- Safety management of ship collision risk.
- Ship collision risk research related to autonomous ships, e.g., risk analysis of the design of the autonomous ship, and risk-based decision-making system for the autonomous ship.
- Ship collision risk in extreme environments (e.g, ship navigation in ice and polar areas)
Dr. Pengfei Chen
Dr. Osiris Valdez Banda
Dr. Mengxia Li
Dr. Lei Du
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.
- ship collision risk
- risk analysis
- risk evaluation
- collision avoidance
- decision making
- artificial intelligence
- big data
- autonomous ship
- extreme environment
- maritime safety