Intelligent Systems for Marine Transportation
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: 25 February 2025 | Viewed by 986
Special Issue Editor
Interests: shipping management; shipping performance evaluation; computer theory; artificial intelligence; big data; fuzzy theory; data-driven analytics
Special Issues, Collections and Topics in MDPI journals
Special Issue Information
Dear Colleagues,
Marine transportation accounts for much of global logistics and serves as an important indicator of the health of the global economy. The best way to keep marine transportation effective, safe, and sustainable is by ensuring that environmental performance is critical to the shipping industry. New technologies play important roles in this respect. Unmanned surface vessels or maritime autonomous surface ships (MASSs) are also rapidly evolving technological developments. Combating climate change through emission reduction requires dedicated effort at every port and for even the smallest vessels throughout the world. Challenges related to the maritime technology spectrum range from wind turbines and kites, carbon capture, artificial intelligence and data sharing systems to hull coatings and fuel emulsifiers. To ensure that the shipping industry can operate fairly, effectively and safely, the IMO is developing new regulations such as the MASS Code for regulating new technologies used in marine transportation. Inflation may be caused by the cost of shipping and ocean freight soaring due to clogged ports, empty truck cabs, container shortages, Panama Canal congestion, etc.
We believe that intelligence systems provide promising answers to all the technological developments and problems in marine transportation. Therefore, this Special Issue will collect the latest research on intelligent systems for marine transportation. High-quality papers and novel techniques for marine transportation are encouraged. For publication, research topics may include, but are not limited to, the following:
- Maritime autonomous surface ships (MASSs);
- Sustainable marine transportation;
- Marine transportation technology;
- Digital twin bridge/engine (DTB/E) monitoring;
- Intelligent port logistics;
- Big data platform in marine transportation;
- Intelligent logistics management;
- Performance evaluation on marine transportation;
- Environmental performance in marine transportation;
- AI in marine transportation;
- Data analytics in marine transportation.
Prof. Dr. Hsuan-Shih Lee
Guest Editor
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 autonomous surface ships (MASSs)
- sustainable marine transportation
- marine transportation technology
- digital twin bridge/engine (DTB/E) monitoring
- intelligent port logistics
- big data platform in marine transportation
- intelligent logistics management
- performance evaluation on marine transportation
- environmental performance in marine transportation
- AI in marine transportation
- data analytics in marine transportation
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