Investigating maritime traffic routes: integrating AIS data and topographic statistics DOI
Jongseo Yim, Wan Hee Kim, Sung‐Jin Cho

et al.

Maritime Policy & Management, Journal Year: 2024, Volume and Issue: unknown, P. 1 - 19

Published: Nov. 26, 2024

This paper presents an innovative integration of topographic statistics with automatic identification system data to identify the distribution conventionally formed maritime routes. methodology utilizes navigation frequency precisely discern locations and linear A key strength lies in explicit crucial points connectivity, including intersections confluences, which contribute construction route networks. advantage becomes evident by providing a nuanced depiction individual centerlines detailed spatial representation based on quantitative evidence vessel conventions. enhances accuracy identifying major routes facilitates their precise location distribution, is particularly adept at supporting establishment management, provides for points, such as confluence areas. In addition conventional applications, this safety, contributes effective marine management policies, identifies suitable new activities, resolves potential conflicts.

Language: Английский

Impact of the Russia–Ukraine Conflict on Global Marine Network Based on Massive Vessel Trajectories DOI Creative Commons
Cong Lin, Hengcai Zhang, Peixiao Wang

et al.

Remote Sensing, Journal Year: 2024, Volume and Issue: 16(8), P. 1329 - 1329

Published: April 10, 2024

Maritime transportation plays a vital role in global trade, and studying the resilience of maritime network is crucial for ensuring its sustainable development. Currently, ongoing conflict between Russia Ukraine has garnered significant attention. However, there lack specific research on impact shipping, particularly network. This paper proposes assessment framework under influence events by combining complex metrics performance indicators from triangle model. It quantitatively evaluates changes before after outbreak Russia–Ukraine conflict. The experiment utilizes real automatic identification system (AIS) trajectory data to quantify visualize traffic during 20-day period conflict, constructing calculations. findings indicate following occurred Firstly, industry experienced overall growth, with increased ship ports. Transportation certain regions was negatively affected, decrease activities Black Sea Adriatic areas. positions world noticeably declined. Secondly, connectivity, size, density significantly increased, indicating an enhanced resilience. According our quantitative results, topological perspective, we observed changes: connectivity 27.2%, scale 36.6%, 32.4%, 18.6%. Thirdly, characterized high degree heterogeneity, conflicts heterogeneity shipping not significant. Finally, exhibited slower decline random attacks, while deliberate attacks led sharp decline. Due adaptive nature network, improves terms topology conflicts. After incidents, rate simulated lower compared pre-conflict period.

Language: Английский

Citations

8
Experimental study on human evacuation onboard passenger ships considering heeling angle and opposite directions DOI Creative Commons
Siming Fang, Zhengjiang Liu, Xinjian Wang

et al.

Ocean Engineering, Journal Year: 2024, Volume and Issue: 308, P. 118256 - 118256

Published: June 2, 2024

It is crucial to understand the movement characteristics and behaviour of individuals during ship emergencies for successful human evacuation on board ships. This study aimed analyse effect heeling angles comprehensive efficiency passenger ships through development a new experimental dataset evacuation. To achieve this, series tests were conducted using an simulator closely resembling scenarios recommended by International Maritime Organization (IMO). revealed that angle significantly reduces both walking running speeds participants. Notably, when 16°, males demonstrated better adaptability as their speed was less affected compared females. Additionally, height found be positively correlated with across different scenarios. In counter flow tests, experiment systematically quantified. The results showed time increased higher angles. Furthermore, participants tended maintain larger personal space in ship, resulting lower density reached 16° other outcomes this offer valuable insights validating models developing guidelines from

Language: Английский

Citations

7
From ports to routes: Extracting multi-scale shipping networks using massive AIS data DOI
Ryan Wen Liu, S.J. Zhou, Maohan Liang

et al.

Ocean Engineering, Journal Year: 2024, Volume and Issue: 311, P. 118969 - 118969

Published: Aug. 14, 2024

Language: Английский

Citations

7
A robust method for multi object tracking in autonomous ship navigation systems DOI Creative Commons
Zeyuan Shao, Yong Yin, Hongguang Lyu

et al.

Ocean Engineering, Journal Year: 2024, Volume and Issue: 311, P. 118560 - 118560

Published: July 31, 2024

A novel Maritime Multi-Object Tracking method is proposed, combining a deep learning-based object detector with target association algorithms to achieve robust sea-surface multi-object tracking. Specifically, the employs You Only Look Once version 7 for detection. In data part, module onboard camera motion compensation developed, maritime dynamic spatial information-based intersection-over-union presented as similarity metric, and progressive refinement cascade matching strategy designed enhance tracker's tracking capabilities. The Jari Dataset utilised validate effectiveness performance of proposed method. Experimental results demonstrate that compared earlier process, exhibits significant enhancement in multiple accuracy, an increase 27.8% achieved score 81.3. particular, it reduces number identifications switching missed targets, achieving holistically preferable performance. Meanwhile, speed fulfils engineering application requirements autonomous ship navigation system.

Language: Английский

Citations

6
Ship Global Traveling Path Optimization via a Novel Non-Dominated Sorting Genetic Algorithm DOI Creative Commons
Shuling Zhao,

Sishuo Zhao

Journal of Marine Science and Engineering, Journal Year: 2024, Volume and Issue: 12(3), P. 485 - 485

Published: March 14, 2024

Due to the intensification of economic globalization and impact global warming, development methods reduce shipping costs carbon emissions has become crucial. In this study, a multi-objective optimization algorithm was designed plan optimal ship route for safe cross-ocean navigation under complex sea conditions. Based on traditional non-dominated sorting genetic algorithm, considering stability marine environment interference, model energy consumption with time as objectives. The experimental results show that although proposed method is 101.23 nautical miles more than large ring route, voyage increased by 10.1 h, fuel reduced 92.24 tons, saving 6.94%. Compared distance are 216.93 7.5 58.82 which almost 4.54%. Through verification, can obtain punctual routes, avoid areas bad conditions, consumption, great significance improving safety economy routes.

Language: Английский

Citations

5
Dynamics collision risk evaluation and early alert in busy waters: A spatial-temporal coupling approach DOI
Yang Chen, Zhao Liu, Mingyang Zhang

et al.

Ocean Engineering, Journal Year: 2024, Volume and Issue: 300, P. 117315 - 117315

Published: March 13, 2024

Language: Английский

Citations

4
Impact of imputation methods for ship technical parameters on emission estimations in ports DOI Creative Commons
Ruikai Sun, Wessam Abouarghoub, Emrah Demir

et al.

Maritime Policy & Management, Journal Year: 2025, Volume and Issue: unknown, P. 1 - 23

Published: Feb. 12, 2025

Language: Английский

Citations

0
Generation of Vessel Habitual Route Networks for Ship Autonomous Navigation Systems with Human-Like Decision-Making DOI

Zhiyi Min,

Tengfei Wang, Meng Yu

et al.

Lecture notes in electrical engineering, Journal Year: 2025, Volume and Issue: unknown, P. 540 - 551

Published: Jan. 1, 2025

Language: Английский

Citations

0
Ship trajectory segmentation and semisupervised clustering via geospatial background knowledge DOI
Yuanqiang Zhang, Yong Ma, Jiao Liu

et al.

Ocean Engineering, Journal Year: 2024, Volume and Issue: 304, P. 117872 - 117872

Published: April 15, 2024

Language: Английский

Citations

3
Development of a Multidimensional Analysis and Integrated Visualization Method for Maritime Traffic Behaviors Using DBSCAN-Based Dynamic Clustering DOI Creative Commons
Daehan Lee, Da-Un Jang, Sang-Lok Yoo

et al.

Applied Sciences, Journal Year: 2025, Volume and Issue: 15(2), P. 529 - 529

Published: Jan. 8, 2025

Automatic Identification System (AIS) data offer essential insights into maritime traffic patterns; however, effective visualization tools for decision-making remain limited. This study presents an integrated processing method to support ship operators by identifying behavior information, such as density, direction, and flow in specific sea navigational areas. We analyzed AIS dynamic from a area, calculated density distributions across grid lattice, obtained visualizations of traffic-dense areas heat maps. Using the density-based spatial clustering applications with noise algorithm, we detected direction at each point, which was visualized form directional arrows, clustered trajectories identify representative flows. The were overlaid onto S-57-based electronic nautical map Mokpo’s entry exit routes, revealing primary shipping lanes critical inflection points within target area. simultaneously displays flow, customary routes. It is adapted chart (S-101) under next-generation hydrographic information standard (S-100), can be used tool operators.

Language: Английский

Citations

0