• Proceedings of KOSOMES biannual meeting
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• 2008.05a
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• pp.173-176
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• 2008

It is very important to protect life, property at sea and marine environments from any pollution AIS, which was been carried out July 1st, 2002 by SOLAS ch. 5, is an communication system to enhance navigational safety by transmitting and receiving vessel information automatically. In this paper, we investigated the positive factors expected by introducing AIS. For this, ship's collision accidents were analyzed. Finally, we suggest methods to solve several problems related to operation in AIS.

• Proceedings of the Korean Institute of Navigation and Port Research Conference
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• 2019.05a
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• pp.92-92
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• 2019

인공위성을 활용하여 선박을 탐지하고, 광학위성의 경우 파장별로 Sensing time이 다른 성질을 활용, Up-sampling 및 Cross-correlation 기법을 적용하여 운항중 선박의 속력과 방향을 추정하고 실제 AIS 데이터와 비교하였다.

• Proceedings of KOSOMES biannual meeting
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• 2007.11a
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• pp.175-176
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• 2007

선박통항이 빈번하고 해상 교통밀도가 높아 해양사고가 빈번한 서남해역의 해상교통안전에 기여하고자 진도 연안VTS 센터를 구축, 2006년 7월 19일 개국식을 갖고 본격적인 운영을 하고 있다. 따라서 본 연구에서는 진도 연안VTS 관제범위내 주변환경과 항행 위해요소 분석, 교통실태 관측조사 및 해양사고 분석을 통한 해상교통환경평가를 실시하여 진도 연안VTS 관제범위내 해상교통시스템 개선을 위한 항행 위해요소를 제시한다

• Proceedings of KOSOMES biannual meeting
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• 2017.11a
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• pp.68-68
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• 2017

• Proceedings of the Korean Institute of Navigation and Port Research Conference
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• 2019.05a
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• pp.8-9
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• 2019

해상교통과 같이 선박, 항해자, 관제센터, 해운선사, 기상시스템, 지리정보시스템 등의 높은 복잡도와 방대한 범위의 요구사항을 갖는 시스템의 M&S를 위해서는 인간을 포함한 체계가 필요하다. 디지털 환경에서 해상교통을 모의하기 위해서는 주요 요소인 인적요인에 대한 모델링 필요하며, 현실감 있는 해상교통 상황의 재현 및 예측을 위해 항해자의 인지과정, 행동양식, 항해전문성, 항해오류 등을 모델링하여 반영하는 것이 타당하다. 본 발표에서는 해상교통류 분석을 위한 지능형 선박 에이전트 개발을 위해 선박운항과 관련된 항해자의 인지 및 행동을 분석하고, 이를 통해 분석된 정보를 이용하여 항해자의 행동과 유사한 에이전트 기반의 인지 및 행동 모델 개발 내용을 소개하고자 한다.

• Proceedings of the Korean Institute of Navigation and Port Research Conference
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• 2009.10a
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• pp.62-63
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• 2009

A monitoring system of collision risk among multiple ships is newly-designed in order to reduce human error and make vessel traffic control more effective. By using AIS data as ships' navigational information, an estimation algorithm of collision risk among multiple ships is newly-designed. To consider ships' course of now and future, collision risks of multiple ships can be calculated by using fuzzy algorithm. To test the performance of new algorithm, replay simulations are carried out on actual AIS data collected from VTS center of Ulsan harbor in Korea. The AIS data include 25 ships' information for two hours. In this paper, the features of newly-designed estimation algorithm of collision risk and the results of replay simulation are discussed.

• Proceedings of the Korean Institute of Navigation and Port Research Conference
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• 2023.11a
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• pp.48-50
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• 2023

울산항 해상교통관제센터(VTS)에서 수신한 AIS 데이터를 이용하여 울산항 출입하는 선박의 MMSI 정보를 분류하였다. 분류된 MMSI 정보는 웹 크롤링을 통하여 선박의 종류, 국적, 총톤수, 길이, 폭 등을 데이터를 수집하였다. AIS 데이터와 MMSI의 선박 정보를 이용하여 출입하는 선박의 선종별 운항 경로 궤적을 분석하였다. 분석된 데이터는 선박 도선 및 항내 안전항로 유도에 활용하고자 한다.

• Journal of the Korean Institute of Intelligent Systems
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• v.23 no.5
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• pp.379-384
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• 2013

For effective ship management in VTS(Vessel Traffic Service), it needs to assess the external force acting on ship. Big data in maritime traffic can be roughly categorized into two groups. One is the traffic information including ship's particulars. The other is the external force information e.g., wind, sea wave, tidal current. This paper proposes the method to assess the external force acting on ship using big data in maritime traffic. To approach Big data in maritime traffic, we propose the Waterway External Force Code(WEF code) which consist of wind, wave, tidal and current information, Speed Over the Water(SOW) of each ship, weather information. As a results, the external force acting a navigating ship is estimated.

• Journal of the Korean Society of Marine Environment & Safety
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• v.19 no.5
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• pp.476-482
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• 2013

This study aims to enhance the effectivity of VTS(Vessel Traffic Service) control by investigating the minimum safe distance between vessel and vessel, vessel and land(obstacle) for the vessel's safe navigation within the VTS control area. In addition, to suggest basic data for the safe navigation, this study has done survey and analysis to each VTS center, and individual on the minimum safe distance to VTS operators of each ports of korea. Through ocean voyage by training ship, Singapore and Malacca strait's congested vessel traffic zone's control distance was compared and investigated the difference on safe distance by the different VTS operators. As a result, there was huge difference of minimum safe distance between the VTS operators belong to the same center. Over all, the port with gentle coastline, like donghae, the safe distance was wider than the other port. On the other hand, port with complex coastline and frequent entry and departure of the vessel, like mokpo, the safe distance was the shortest of all. Therefore, development of module suitable to port's natural conditions and traffic volume's necessity is required, for the operators affiliated to the same VTS center control according to formal method. Lastly, the full discussion by the expert group about establishment of standard control procedure in the future should be considered as well.

• Proceedings of the Korean Institute of Navigation and Port Research Conference
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• 2015.07a
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• pp.310-311
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• 2015

Ships' tracking data are being monitored and collected by vessel traffic service center in real time. In this paper, we intend to contribute to vessel traffic service operators' decision making through extracting ships' tracking patterns and models based on these data. Support Vector Machine algorithm was used for vessel track modeling to handle and process the data sets and k-fold cross validation was used to select the proper parameters. Proposed data processing methods could support vessel traffic service operators' decision making on case of anomaly detection, calculation ships' dead reckoning positions and etc.