Smart and Low Carbon Emission-Oriented Maritime Traffic Management and Controlling
Overview & Synopsis
This Reprint presents a collection of cutting-edge research from a Special Issue on smart and sustainable maritime transportation systems. The selected papers explore innovative technological solutions for modern shipping challenges, focusing on three key areas: intelligent navigation systems, emission reduction strategies, and operational optimization. Several studies investigate AI-driven approaches for maritime applications, including GAN-LSTM hybrid models for ship speed prediction. Interdisciplinary studies demonstrate how emerging technologies can enhance maritime efficiency while reducing environmental impact. The findings provide valuable insights for researchers and practitioners working on smart shipping solutions, emission reduction strategies, and sustainable maritime operations. With practical applications ranging from navigation systems to port management, this Reprint offers a comprehensive overview of current advancements in intelligent maritime transportation.
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Document Information
| Document Title | Smart and Low Carbon Emission-Oriented Maritime Traffic Management and Controlling |
|---|---|
| Author / Organization | DOAB Contributor |
| Subject & Discipline | Smart shipping |
| Categories | Open Access Books |
| Publication Year | 2026 |
| License / Rights | Open Access / Creative Commons |
| Resource Verification | Listed PDF (Verification Pending) |
| Original Host Website |
Directory of Open Access Books
(www.doabooks.org)
|
| File Format | application/pdf (Portable Document Format) |
| Language | EN |
| Catalog ID | DOC-274264 |
| Original Source Link | Visit Source Page on www.doabooks.org » |