Impact of the Russia–Ukraine Conflict on Global Marine Network Based on Massive Vessel Trajectories

Remote Sensing, Год журнала: 2024, Номер 16(8), С. 1329 - 1329

Опубликована: Апрель 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.

Язык: Английский

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From ports to routes: Extracting multi-scale shipping networks using massive AIS data

Ocean Engineering, Год журнала: 2024, Номер 311, С. 118969 - 118969

Опубликована: Авг. 14, 2024

Язык: Английский

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Experimental study on human evacuation onboard passenger ships considering heeling angle and opposite directions

Ocean Engineering, Год журнала: 2024, Номер 308, С. 118256 - 118256

Опубликована: Июнь 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

Язык: Английский

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A robust method for multi object tracking in autonomous ship navigation systems

Ocean Engineering, Год журнала: 2024, Номер 311, С. 118560 - 118560

Опубликована: Июль 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.

Язык: Английский

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Ship Global Traveling Path Optimization via a Novel Non-Dominated Sorting Genetic Algorithm

Journal of Marine Science and Engineering, Год журнала: 2024, Номер 12(3), С. 485 - 485

Опубликована: Март 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.

Язык: Английский

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Dynamics collision risk evaluation and early alert in busy waters: A spatial-temporal coupling approach

Ocean Engineering, Год журнала: 2024, Номер 300, С. 117315 - 117315

Опубликована: Март 13, 2024

Язык: Английский

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Ship trajectory segmentation and semisupervised clustering via geospatial background knowledge

Ocean Engineering, Год журнала: 2024, Номер 304, С. 117872 - 117872

Опубликована: Апрель 15, 2024

Язык: Английский

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Traffic complexity assessment on the malacca strait with traffic zone matrix based on AIS data

Ocean Engineering, Год журнала: 2024, Номер 314, С. 119687 - 119687

Опубликована: Ноя. 4, 2024

Язык: Английский

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Maritime Data Mining for Marine Safety Based on Deep Learning: Southern Vietnam Case Study

Naše more, Год журнала: 2024, Номер 71(1), С. 21 - 29

Опубликована: Май 1, 2024

High-speed passenger vessels, integrated river and sea container oil tankers, other underwater vehicles operating in maritime traffic are among the types of vessels that must be equipped with AIS VHF. The safety navigation is one major problems sector, particularly Vietnam. Furthermore, marine seaport zone a common difficult issue to manage areas high volume vessel traffic, mostly places where infrastructure supporting inadequately developed meet rapidly growing demands contemporary world. Therefore, it necessary create an management system improve efficiency data exploitation support safety. To address this challenge, study suggests Maritime Traffic State Prediction (MTSP) model predict conditions channels real-time collection insufficient some specific locations. We recommend deep learning method using Long Short-Term Memory (LSTM) networks safe path case missing segments. findings have shown proposed approach encourages mining historical for ready applied, can easily implemented computer program or web-based app.

Язык: Английский

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A dynamic topology analysis method for multi-ship encounters based on multi time-space network trees

Ocean Engineering, Год журнала: 2024, Номер 307, С. 118052 - 118052

Опубликована: Май 20, 2024

Язык: Английский

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