Analysis of anchoring ships around coastal industrial complex in a natural disaster

Gao, Xianlong; Makino, Hidenari

doi:10.1016/j.jlp.2016.12.003

Cited by 7 publications

(6 citation statements)

References 3 publications

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“…Forecasting is a science of predicting future events as it gives the good application in economic forecasting, technology forecasts and also demands forecasts which are a projection of a company's sales for each period in the planning horizon (Gao et al, 2017;Mustaffa et al, 2019). Furthermore, the main aim of time series modeling is to carefully collect and rigorously study the past observations of a time series to develop an appropriate model which describes the inherent structure of the series.…”

Section: Quantitative Forecastingmentioning

confidence: 99%

“…In studying the pattern of data, it always takes into consideration the affecting and responding variables and the season or weather that may affect the traffic congestion. Previous studies show that weather during storms or disasters affects the traffic or behaviour of ships in manoeuvres of vessels (Gao et al, 2017). Thus a seasonal pattern technique has been used in the analysis.…”

Section: Introductionmentioning

confidence: 99%

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Prediction of Marine Traffic Density Using Different Time Series Model From AIS data of Port Klang and Straits of Malacca

Ramin¹,

Mustaffa²,

Ahmad³

2020

Trans. Marit. Sci.

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In the study of ocean engineering, marine traffic is referring to the study of the pattern of the density of ships within the particular boundaries at certain periods. The Port Klang and Straits of Malacca are known for one of the heaviest traffics in Malaysia and the world. The study of traffic within this area is important, because it enables ships to avoid traffic congestion that might happen. Thus, this study is mainly aimed at predicting or forecasting the density of the ships using the route through this waterway by using quantitative methods which are time-series models and the associative models from the Automatic Identification System (AIS) data. The moving averages, weight moving average, and exponential smoothing for the time series model and associative model have used multiple regression. The results show an exponential smoothing alpha 0.8 and give the lowest MAPE as 20.701%, thereby making this method to be the best in forecasting the future traffic density among the method categories.

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Section: Quantitative Forecastingmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Prediction of Marine Traffic Density Using Different Time Series Model From AIS data of Port Klang and Straits of Malacca

Ramin¹,

Mustaffa²,

Ahmad³

2020

Trans. Marit. Sci.

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“…Therefore, they combined numerical and experimental approaches to investigate the relationship between the flow problem and the navigation safety issues in the entrance channel of the Lanshan Port in China. Gao and Makino (2017) investigated that port congestion and maritime accidents occurred frequently on the main routes and coasts. Notably, a large number of ships sail not only around the coastal areas, but also through the ships anchored offshore before entering the ports.…”

Section: Literature Reviewmentioning

confidence: 99%

“…Gao and Makino (2017) investigated that port congestion and maritime accidents occurred frequently on the main routes and coasts. Notably, a large number of ships sail not only around the coastal areas, but also through the ships anchored offshore before entering the ports.…”

Section: Literature Reviewmentioning

confidence: 99%

A Decision‐making Support System for Automatically Determining the Route Priority of Vessels Entering/Exiting the Ports

Kao

Hsueh

Chou³

et al. 2020

Transp. j.

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This study developed a decision-making support system (DMSS) for automatically determining the route priority of vessels entering/exiting the waters surrounding the port monitored by vessel traffic services (VTS). The developed DMSS was combined with marine geographic information systems (GIS), automatic identification systems (AIS), and fuzzy logic theory. The simulations of case studies for the ports of Keelung and Singapore were shown to illustrate the fitness of the developed DMSS. Based on the vessel information received/transmitted by AIS within the waters monitored by VTS, the developed DMSS can compute and output the route priority values for the captains on board and the operators in VTS stations as a point of reference. In other words, each ship in the waters surrounding the port can know the route priority for entering/exiting the port. The simulation results of case studies showed that the developed DMSS seems promising. The developed DMSS could be a useful tool in improving a port's navigation safety.

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“…Publications focus on individual parts of the anchor-set positioning system, instead of presenting the system holistically. Problems related to the safety of anchored vessels have been presented in [ 11 , 12 , 13 ], and the problem of determining the depth of penetration of the seabed by a dropped anchor and the developed mathematical model of the anchor was presented in [ 14 ]. The problem of developing a mathematical model of a ship dropping anchor was discussed in [ 15 ]—unfortunately, the author simplified his model by depicting the dropping of only one anchor.…”

Section: Introductionmentioning

confidence: 99%

Verification of the System for Ship Position Keeping Equipped with a Set of Anchors in Unity3d

Wnorowski

Łebkowski

2022

Sensors

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Modern computers with specialised software are able to simulate oceans with waves and sea currents, and the action of wind, gravity, ships and other vehicles. The high-level programming languages that are used in this type of software can read information from navigation devices connected to the computer (e.g., via serial ports), and proceed to use the raw data in control algorithms. More and more desktop software and simulators can use data from additional electronic devices such as pressure sensors, temperature sensors, etc. Thus, it is possible to conduct real-time communication with a PLC (programmable logic controller) and use it in simulators. In this article, a user interface designed in Unity3d is presented. The user interface was able to read data from navigation devices, which were used in a ship positioning control algorithm. Verification of the algorithm occurred during research on a real ship, which used an anchor-based positioning system. Using data obtained on the real ship, a mathematical model of anchor winches was developed. Next, the mathematical model was implemented in the simulator developed in Unity3d. The simulator contained the same environmental conditions as during the research on the real ship. The mathematical model of anchor winches and implementation developed in the simulator will allow for future research on anchor-based positioning systems (e.g., in different environmental conditions). The research resulted in a shift of the ship’s position by 26.3 m under 280 degrees. The difference in arrival time to the target point between the real ship and the virtual ship was 19%, and the difference in position deviation was 330%.

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Analysis of anchoring ships around coastal industrial complex in a natural disaster

Cited by 7 publications

References 3 publications

Prediction of Marine Traffic Density Using Different Time Series Model From AIS data of Port Klang and Straits of Malacca

Prediction of Marine Traffic Density Using Different Time Series Model From AIS data of Port Klang and Straits of Malacca

A Decision‐making Support System for Automatically Determining the Route Priority of Vessels Entering/Exiting the Ports

Verification of the System for Ship Position Keeping Equipped with a Set of Anchors in Unity3d

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