Modeling of Vessel Traffic Flow for Waterway Design–Port of Świnoujście Case Study

Nowy, A.; Łazuga, Kinga; Gucma, Lucjan; Androjna, Andrej; Perkovič, Marko; Srše, Jure

doi:10.3390/app11178126

Cited by 8 publications

(3 citation statements)

References 18 publications

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“…Ref. [112] utilizes historical AIS data from the Świnoujście port in Poland to establish ship traffic spatial distribution and probability models. These models analyze factors influencing the safe distance between ships, aiming to enhance maritime safety and reduce collision risks.…”

Section: Ship Traffic-flow Modeling and Long-term Trajectory Predictionmentioning

confidence: 99%

A Review on Motion Prediction for Intelligent Ship Navigation

Zhang,

Chu,

Liu

et al. 2024

JMSE

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In recent years, as intelligent ship-navigation technology has advanced, the challenge of accurately modeling and predicting the dynamic environment and motion status of ships has emerged as a prominent area of research. In response to the diverse time scales required for the prediction of ship motion, various methods for modeling ship navigation environments, ship motion, and ship traffic flow have been explored and analyzed. Additionally, these motion-prediction methods are applied for motion control, collision-avoidance planning, and route optimization. Key issues are summarized regarding ship-motion prediction, including online modeling of motion models, real ship validation, and consistency in modeling, optimization, and control. Future technology trends are predicted in mechanism-data fusion modeling, large-scale model, multi-objective motion prediction, etc.

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Section: Ship Traffic-flow Modeling and Long-term Trajectory Predictionmentioning

confidence: 99%

A Review on Motion Prediction for Intelligent Ship Navigation

Zhang,

Chu,

Liu

et al. 2024

JMSE

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“…They attempted to determine the relationship between a ship closest point of approach as a key factor in collision avoidance and vessel size, speed, and course. In the study by Nowy et al [22], an analysis of vessel traffic flow based on AIS data was performed using statistical methods. The area of the port of Świnoujście was used as a case study to show the distribution of maritime traffic and its parameters.…”

Section: Literature Reviewmentioning

confidence: 99%

Research on Ship Collision Probability Model Based on Monte Carlo Simulation and Bi-LSTM

Vukša

Vidan

Bukljaš

et al. 2022

JMSE

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The efficiency and safety of maritime traffic in a given area can be measured by analyzing traffic density and ship collision probability. Maritime traffic density is the number of ships passing through a given area in a given period of time. It can be measured using vessel tracking systems, such as the Automatic Identification System (AIS). The information provided by AIS is real-time data designed to improve maritime safety. However, the AIS data can also be used for scientific research purposes to improve maritime safety by developing predictive models for collisions in a research area. This article proposes a ship collision probability estimation model based on Monte Carlo simulation (MC) and bidirectional long short-term memory neural network (Bi-LSTM) for the maritime region of Split. The proposed model includes the processing of AIS data, the verification of AIS data, the determination of ports and ship routes, MC and the collision probability, the Bi-LSTM learning process based on MC, the ship collision probability for new or existing routes, and the traffic density. The results of MC, i.e., traffic/vessel route and density, and collision probability for the study area can be used for Bi-LSTM training with the aim of estimating ship collision probability. This article presents the first part of research that includes MC in detail, followed by a preliminary result based on one day of processed AIS data used to simulate MC and propose a model architecture that implements Bi-LSTM for ship collision probability estimation.

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“…In this study, only categories 1 and 2 are reflected in the evaluation to obtain the probability of grounding in the ship's operation and changing direction under normal circumstances [42,43]. The method of calculating the grounding probability for categories 1 and 2 was as shown in Equations ( 10) and ( 11): In this study, based on the GICOMS data obtained for 7 days, the frequency of grounding accidents with obstacles near each target fairway was estimated reflecting the maritime traffic flow.…”

Section: Iwrap Grounding Probabilitymentioning

confidence: 99%

Design of Fairway Width Based on a Grounding and Collision Risk Model in the South Coast of Korean Waterways

et al. 2022

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As a method of reviewing the design of new fairways and the redesign of existing fairways, we proposed a fairway design plan based on the collision and grounding probability, considering vessel traffic. A case study was conducted on the four traffic separation schemes (TSS) on the southern coast, which is the most complex coast among Korean coastal waters. The evaluation items of Korea’s Maritime Traffic Safety Assessment Scheme, the PIANC Guide, and the Port and Fishing Port Design Standards were all satisfied; however, some fairways had very high ship congestion at specific times, exceeding the fairway capacity. For each target fairway, the collision risk using the environmental stress (ES) model and the grounding risk using the IWRAP Mk II Model were analyzed. The grounding risk was found to be equally good, but the aggregation environmental stress (ESA) value, according to the ES model, was high in three fairways. The widths of the three fairways with high risk were partially expanded, and, thus, were re-evaluated. The overall ESA was reduced, and the psychological burden of operators due to the marine environment, such as the fairways, was significantly eased. Based on the results of this study, it would be beneficial to apply a design scheme using collision and stranded risk models when designing new fairways or reviewing existing fairways. An appropriate fairway design plan is prepared that, through further research using various evaluation models and techniques, could be useful in coastal waters in the future.

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Modeling of Vessel Traffic Flow for Waterway Design–Port of Świnoujście Case Study

Cited by 8 publications

References 18 publications

A Review on Motion Prediction for Intelligent Ship Navigation

A Review on Motion Prediction for Intelligent Ship Navigation

Research on Ship Collision Probability Model Based on Monte Carlo Simulation and Bi-LSTM

Design of Fairway Width Based on a Grounding and Collision Risk Model in the South Coast of Korean Waterways

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