• Proceedings of the Korean Institute of Navigation and Port Research Conference
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• 2005.10a
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• pp.103-109
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• 2005

At the adjacent sea area of Busan Central Wharf, a variety of vessels, such as middle-large passenger ships, small fast sailing ships, container ships, cargo ships and working ships as well as small miscellaneous vessels are freely sailing comparatively without special steering and sailing Rules and marine traffic control because exclusive wharfs in accord with their purpose and use have been arranged in each wharf. In this research, we analyzed traffic stream and navigational characteristics of main traffic route based on statistics and distribution of tracks by ship's type and tonnage of the passing vessels after conducting marine traffic survey twice using exclusive software by targeting the sea area during the period of time. We examined the traffic safety of the passing vessels by classifying the sea area by each function based on the analysis about this traffic situation, and analyzing the effect by designating 'Buknea passage'. We also studied the plan for the effective rearrangement of Central Wharf considering basically the traffic safety oif arrival and departure in a point if view of navigators.

• Proceedings of the Korean Institute of Navigation and Port Research Conference
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• 2022.06a
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• pp.155-156
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• 2022

Efficient operation of ships can transport cargo to ports safer and faster, and reduce fuel costs. Therefore, in this study, the pattern was analyzed using AIS data of ships passing near Busan Port, a representative port in Korea. The analysis of vessel traffic patterns was approached with a grid-based node generation method, which can be used for research such as optimal route and route prediction.

• Proceedings of the Korean Institute of Navigation and Port Research Conference
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• 2004.04a
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• pp.189-195
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• 2004

Recently, bridge design and／or construction works on marine traffic route are undertaking in Korean waters. Naturally the ship-handling difficulty and hazardous to navigation should be increased when the bridge is constructed on the shipping route. Unfortunately, however, it is impossible or not desirable to secure wide enough bridge span width due to geographical condition or economic point of view. Therefore this study aims to propose the consideration factors during the bridge design process, and the traffic volume control, speed limit and other alternative measures to secure traffic safety using marine traffic flow simulation technique.

• Journal of Navigation and Port Research
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• v.30 no.1 s.107
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• pp.9-15
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• 2006

At the adjacent sea area of Busan Central Wharf, a variety of vessels, such as middle-large passenger ships, small hugh speed crafts, container ships, cargo ships and working boats as well as small miscellaneous vessels are freely sailing comparatively without special rules and marine traffic control. In this research, we analyzed traffic stream and navigational characteristics cf main traffic route based on statistics and distribution of tracks by ship's type and tonnage cf the passing vessels after conducting marine traffic survey twice using exclusive software. We examined the traffic safety of the passing vessels by classifying the sea area by each function based on the analysis about this traffic situation, and analyzing the effect by designating 'Inner passage'. We also studied the plan for the effective rearrangement cf Central Wharf considering basically the traffic safety of arrival and departure in a point of view of navigators.

• Journal of Navigation and Port Research
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• v.46 no.6
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• pp.576-584
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• 2022

AIS is widely utilized in vessel traffic services for marine traffic safety. In 2021, Korea deployed the high-speed maritime wireless communication system (LTE-Maritime) on the sea following IMO's proposal for the introduction of e-Navigation. In this paper, vessel trajectory data from AIS and LTE-Maritime were used for vessel trajectory prediction to compare and analyze the two systems. The results show that the trajectory prediction error of LTE-Maritime was smaller than that of AIS due to the granular and uniform data provided by LTE-Maritime. Additionally, it was revealed that time interval is the most important factor influencing the errors in trajectory prediction, with the prediction error of LTE-Maritime growing at a slower rate of 17% than AIS. This research contributes to the literature by quantitatively comparing AIS and LTE-Maritime systems for the first time.

• Journal of Fisheries and Marine Sciences Education
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• v.27 no.3
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• pp.696-705
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• 2015

Approximately 4,000 vessels including sea trial ships per day are passing, entering or departing from Korea coastal waterway. Sea trial ships have erratic navigating patterns such as quick turning, crash stop and do not communicate with other vessels in appropriate time, so sea trial ships are often to expose dangerous situation such as collision in heavy traffic area. To identify the sea trial vessel's risk factors, this paper surveyed marine traffic volumes for 7 days in Korea harbour & coastal waterway, and it analyzed marine accident rate and intended to identify the risk degree of passing vessels. After that, this researched how many sea trial ship's traffic and what is the sea trial risk among sea trial items. We also conducted survey questionnaire and identified risk factors of sea trial ship. So this paper aimed to enhance the safety of korea coastal waterway to prevent sea trial ship's marine accident.

• Journal of Information Technology Applications and Management
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• v.30 no.6
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• pp.69-80
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• 2023

Ship collision accidents not only cause loss of life and property damage, but also cause marine pollution and can become national disasters, so prevention is very important. Most of these ship collision accidents are caused by human factors due to the navigation officer's lack of vigilance and carelessness, and in many cases, they can be prevented through the support of a system that helps with situation awareness. Recently, artificial intelligence has been used to develop systems that help navigators recognize the situation, but the sea is very wide and deep, so it is difficult to secure maritime traffic datasets, which also makes it difficult to develop artificial intelligence models. In this paper, to solve these difficulties, we propose a method to build a dataset with characteristics similar to actual maritime traffic datasets. The proposed method uses segmentation and inpainting technologies to build a foreground and background dataset, and then applies compositing technology to create a synthetic dataset. Through prototype implementation and result analysis of the proposed method, it was confirmed that the proposed method is effective in overcoming the difficulties of dataset construction and complementing various scenes similar to reality.

• Proceedings of KOSOMES biannual meeting
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• 2004.05b
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• pp.13-18
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• 2004

The marine traffic congestion has increased due to the expansion of vessel traffic volume in Korean coastal waterway these days. Heavy traffic could bring serious marine casualties which cause the loss of human lives, properties and marine pollution in coastal area. In this paper. the probability analysis of marine casualties in Korean coastal To achieve this aim, clears up the cause of accident and examines closely the mutual relations among marine casualties, weather condition, and marine traffic volume. These casualties are classified into several pattens or the point of view of ship‘s size, ship’s type and ship‘s age and its characteristics of each patten are described in detail.

• Journal of Navigation and Port Research
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• v.30 no.5 s.111
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• pp.397-404
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• 2006

Gamcheon harbor was developed as a multipurpose port to mix processing functions of exclusive piers for bulk cargo such as marine products, domestic cargoes. Since the container terminal was opened in 1997, maximum $40,000\sim50,000$ DWT containership have been incoming and outgoing. However, bemuse the breakwater entrance in Gamcheon harbor is narrow and the crossed vessels are ever-present at breakwater front, marine accident danger is high that grasping traffic characteristics is required in reply. Therefore marine traffic characteristics were analyzed for Gamcheon harbor and Gamcheon approaching waters, included the track and traffic volumes of peak hours period in inbound/outbound and front sea area of the harbor in present.

• Proceedings of the Korean Institute of Navigation and Port Research Conference
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• 2006.06b
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• pp.137-146
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• 2006

Gamcheon Harbor was developed as a multipurpose port to mix processing functions of exclusive piers for bulk cargo such as marine products. domestic cargo. Since the container terminal was opened in 1997. maximum $40,000{\sim}50,000$ DWT containership have been incoming and outgoing. However, because [he breakwater entrance in Gamcheon Harbor is narrow and the crossed passing of ship is ever-present at breakwater front, marine accident danger is high that grasping traffic characteristics is required in reply. Therefore marine traffic characteristics were analyzed for Gamcheon Harbor, included the track and traffic volumes of peak hours period in inbound/outbound and front sea area of the harbor in present.