Maritime Traffic Engineering

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: 15 April 2025 | Viewed by 752

Special Issue Editor


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Guest Editor
School of Navigation, Wuhan University of Technology, Wuhan 430063, China
Interests: traffic environment and safety assurance; ship and marine environment protection; dangerous goods transportation and pollution prevention

Special Issue Information

Dear Colleagues,

The growing complexity and volume of global maritime traffic presents a series of significant challenges for the smooth operation of ports, the safe navigation of vessels, and the overall management of maritime safety. As international trade continues to expand, the pressure on shipping lanes and port infrastructures intensifies, making effective traffic management increasingly critical. Optimizing resources, enhancing port throughput, and ensuring safe navigation in congested waters have become essential goals for both researchers and practitioners. In response to these challenges, recent advancements in computational techniques, such as machine learning, artificial intelligence, and big data analytics, have revolutionized the field of maritime traffic engineering. Additionally, intelligent transportation systems (ITSs) and real-time monitoring technologies have paved the way for more dynamic and responsive traffic management systems. These innovations not only help to optimize traffic flow and reduce congestion but also play a vital role in improving vessel safety and environmental sustainability. Moreover, intelligent maritime supervision systems are becoming key to ensuring seamless operations by providing real-time decision support, predictive analytics, and proactive measures to mitigate risks. As such, this Special Issue seeks to highlight cutting-edge research and technological advancements that offer innovative solutions for enhancing the safety, efficiency, and sustainability of maritime traffic systems.

We invite papers that cover a wide range of topics within maritime traffic engineering, including, but not limited to, the following:

  • Traffic flow analysis and optimization;
  • Maritime traffic forecasting and simulation models;
  • Intelligent Transportation System (ITS) applications;
  • Intelligent maritime supervision;
  • Environmental impacts of maritime traffic;
  • Safety and risk analysis in maritime traffic management.

Prof. Dr. Jingxian Liu
Guest Editor

Manuscript Submission Information

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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

  • traffic flow analysis and optimization
  • maritime traffic forecasting and simulation models
  • intelligent transportation system (ITS) applications
  • intelligent maritime supervision
  • environmental impacts of maritime traffic
  • safety and risk analysis in maritime traffic

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Published Papers (1 paper)

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Research

26 pages, 10669 KiB  
Article
Ship Collision Risk Assessment Algorithm Based on the Especial Cautious Navigation Angle Model
by Wei Pan, Yukuan Wang, Xinlian Xie, Meng Li and Jinru Fan
J. Mar. Sci. Eng. 2025, 13(1), 173; https://doi.org/10.3390/jmse13010173 - 19 Jan 2025
Viewed by 539
Abstract
To address the challenges posed by dense shipping traffic and the difficulty of identifying navigation risks in open waters, this paper introduces an Especial Cautious Navigation Angle (ECNA) model for ships, grounded in ship collision avoidance geometry. The ECNA model dynamically identifies the [...] Read more.
To address the challenges posed by dense shipping traffic and the difficulty of identifying navigation risks in open waters, this paper introduces an Especial Cautious Navigation Angle (ECNA) model for ships, grounded in ship collision avoidance geometry. The ECNA model dynamically identifies the range of navigation angles where collision risks may arise between ships. Building upon this model, a comprehensive scoring algorithm is proposed to assess ship collision risks in open waters. This algorithm not only effectively tracks the evolving risk of collisions but also prioritizes ships with the most imminent danger of collision. Experimental results demonstrate that the ECNA model can accurately define the range of collision risk navigation angles. Furthermore, the scoring algorithm provides a quantitative analysis of the development trends in collision risks and offers continuous monitoring of these risks during navigation in open waters. The proposed model and algorithm exhibit strong practical applicability and operability in identifying ship collision risks in both open and dense navigable areas. These findings not only offer valuable guidance for real-world collision risk identification but also contribute to the theoretical advancement of ship collision risk analysis, presenting a novel solution to this pressing issue. Full article
(This article belongs to the Special Issue Maritime Traffic Engineering)
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