• Journal of the Korean Institute of Intelligent Systems
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• v.25 no.3
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• pp.293-298
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• 2015

The vessel encounter data collected from the vessel trajectories in the maritime traffic situation is possible to analyze vessel collision and near-collision risk using statistical method. In this study, analyzing variables extracted from the vessel encounter data using factor analysis, we determine main factors effecting vessel collision risk from vessel encounter data. In order to calculate each factor, it used principal component analysis for factor analysis after normalization and standardization of vessel encounter variables. As a result of the factor analysis, main effect factors are summarized into the vessel approach factor and collision avoidance variance factor.

• Proceedings of the Korean Institute of Navigation and Port Research Conference
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• 2016.05a
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• pp.252-254
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• 2016

VTS에서 정보제공실적은 대내 외적으로 많이 활용되며, VTS 성과평가 자료로 중요하게 활용되고 있다. 지금까지 VTS에서 산정되는 정보제공 실적은 대부분 관제사가 관제업무 중 정보제공 발생시 관제일지에 수기로 기록하고 있으나, 선박관제 및 선박모니터링, PORT-MIS 등 여러 업무를 수행하고 있는 관제사가 정보제공 실적을 일일이 기록하는데 한계가 있다. 본 연구에서는 객관적인 정보제공 실적 산출을 위해 VHF 음성 자료 및 선박간 조우데이터를 분석하여 선박교통데이터 기반의 선박 안전정보 제공 회귀모형식을 도출하고자 한다.

• Proceedings of the Korean Institute of Navigation and Port Research Conference
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• 2015.10a
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• pp.202-204
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• 2015

2010년부터 최근 5년간 해양안전심판원의 충돌사고 통계분석 결과에 따르면 98%가 인적과실이 원인이 될 정도로 경계소홀 등 해기사에 의한 운항과실이 해양사고의 대부분을 차지하고 있으나 그동안 외국뿐만 아니라 국내에서도 이에 대한 연구는 극히 미흡한 실정이다. 본 연구는 항해중인 선박이 타 선박과 6가지 유형(Head-on, $045^{\circ}$, $090^{\circ}$, $135^{\circ}$, Overtaking, Overtaken)의 다른 방위각으로 조우 상황시 양 선박의 거리가 가까워지면서 거리별 항해당직사관인 해기사가 느끼는 스트레스(주관적 위험도)를 실제 항해중인 선박에 승선하여 실험하였고 획득한 데이터를 통계적으로 분석 및 처리하였다. 데이터를 곡선적합(Curve fitting) 적용 결과 6가지 조우각도별 거리에 따른 연속 데이터 획득이 가능 하였고 인적과실의 주요 원인 중의 하나인 타 선박 조우 상황시 해기사가 느끼는 스트레스 일반화 모델을 위한 기초 식을 제안하였다. 이러한 결과는 향후 해기사의 인적과실을 줄여 해양사고 예방을 위한 기초 자료로 활용 할 수 있을 것이다.

• Proceedings of the Korean Institute of Navigation and Port Research Conference
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• 2022.06a
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• pp.319-320
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• 2022

본 논문에서는 '지능형 해상교통정보 서비스'로 축적된 선박 위치데이터를 가공하여 선박의 조우상황 데이터를 추출하고 분석하였다. 선박의 위치, 침로, 속력을 통해 TCPA, DCPA와 선박간 거리를 계산함으로써 선박의 충돌위험 인지 후 회피 상황에서 보이는 데이터의 형태와 분포를 분석하였다. 추후 상대방위와 SOG가 TCPA 변화량에 미치는 영향에 대한 연구가 진행되면, 실제 사용자의 충돌위험 판단과 근접한 충돌위험도 분석 모델로 활용할 수 있을 것으로 보인다.

• Proceedings of the Korean Institute of Navigation and Port Research Conference
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• 2021.11a
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• pp.185-186
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• 2021

해양사고 분석을 위한 해양사고 재결서는 중요한 정보제공의 원천이며 재발방지를 위한 개선사항을 제시한 자료이다. 하지만 이는 보고서 형태로 구성되어 수량화 하여 데이터로 활용하기에는 한계가 있다. 본 연구에서는 이러한 해양사고 재결서를 원인요소와 결과요소로 구분하여 계층화작업을 시행하였다. 이를 통해 충돌사고에서 선박조우상황과 충돌부위와의 상관관꼐를 증명하기 위한 기초자료로 사용하고자 한다. .

• Journal of the Korean Society of Marine Environment & Safety
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• v.27 no.4
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• pp.483-491
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• 2021

The identification of regional collision risks in water areas is significant for the safety of navigation. This paper introduces a new method of collision risk assessment that incorporates a clustering method based on the distance factor - hierarchical clustering - and uses real-time data in case of several surrounding vessels, group methodology and preliminary assessment to classify vessels and evaluate the basis of collision risk evaluation (called HCAAP processing). The vessels are clustered using the hierarchical program to obtain clusters of encounter vessels and are combined with the preliminary assessment to filter relatively safe vessels. Subsequently, the distance at the closest point of approach (DCPA) and time to the closest point of approach (TCPA) between encounter vessels within each cluster are calculated to obtain the relation and comparison with the collision risk index (CRI). The mathematical relationship of CRI for each cluster of encounter vessels with DCPA and TCPA is constructed using a negative exponential function. Operators can easily evaluate the safety of all vessels navigating in the defined area using the calculated CRI. Therefore, this framework can improve the safety and security of vessel traffic transportation and reduce the loss of life and property. To illustrate the effectiveness of the framework proposed, an experimental case study was conducted within the coastal waters of Mokpo, Korea. The results demonstrated that the framework was effective and efficient in detecting and ranking collision risk indexes between encounter vessels within each cluster, which allowed an automatic risk prioritization of encounter vessels for further investigation by operators.

• Journal of Navigation and Port Research
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• v.44 no.6
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• pp.460-468
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• 2020

Research related to the technology developed for the Maritime Autonomous Surface Ship (MASS) is currently underway. Although one of those core technologies is collision-avoidance technology for ship operators at sea, no research has been done to objectively quantify its effectiveness. Therefore, this study was conducted to develop an evaluation model to examine the collision-avoidance ability of MASS. Ship-control experts performed a ship-handling simulation for each ship encounter type using the Full Mission Ship-handling Simulator (FMSS). We used the resulting data and technical statistics, to develop an evaluation model that utilized FMSS to quantify the operational capability of the collision-avoidance technology. This evaluation model also can be used at sea to assess deck officers' ability to use the technology and to improve and develop other MASS technologies.

• Journal of the Korean Society of Marine Environment & Safety
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• v.22 no.1
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• pp.98-107
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• 2016

The purpose of this study is for Human error prevention to acquire Collision Risk Perception Index (CRPI) sensed by the Officer Of the Watch (OOW) when the approaching distances are reduced in six types of ship encountering situations (Head on, $045^{\circ}$, $090^{\circ}$, $135^{\circ}$, Overtaking, Overtaken) between own ship and a target ship and then to predict CRPI fitting coefficients with polynomials in the curve-fitting process. CRPI acquisition experiments are carried out on two coast-guard ships and with the total of 30 crew members. Analysing results shows that CRPI data have goodness of fit to the six types of encountering situation. Futhermore, the One-Way ANOVA results show that CRPI has a negative affect to the OOW's age, career and license grade as the approaching distances is reduced. The availability of CRPI curve fitting with 3 degrees of polynomial was testified through the RMSE as 1.19 to Head on, 0.87 to $045^{\circ}$, 0.81 to $090^{\circ}$, 0.71 to $135^{\circ}$, 1.29 to Overtaking and 0.87 to Overtaken.

• Journal of the Korean Society of Marine Environment & Safety
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• v.23 no.5
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• pp.447-454
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• 2017

Using two large coast guard ships at sea, we created four encounter situations ($000^{\circ}$, $045^{\circ}$, $090^{\circ}$, $135^{\circ}$) with high possibility of collision, from 3 NM up to 0.25 NM. As relative distance was gradually decreased, the subjects were measured at 0.25 NM intervals and perceived ship collision risk (PSCR) was determined by looking at the opponent ship. Characteristics were statistically analyzed using the obtained data. The purpose of this study was to analyze the characteristics of collision risk values obtained from twelve intervals, from 3 NM to 0.25 NM relative to encounter situations by curve fitting with appropriate polynomials, to determine the distance from which the change in perceived collision risk is greatest. As a result, an optimal regression equation for each distance interval was derived from each analysis direction. The greatest variation in average collision risk value was over the range 1.25 ~ 1 NM, and the collision risk value was largest at 1 NM. The maximum change in perceived collision risk was at 1 NM. These results can contribute to preventive guidelines to minimize human error in close proximity situations with a high probability of ship collision.

• Proceedings of the Korean Institute of Navigation and Port Research Conference
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• 2023.11a
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• pp.116-118
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• 2023

In recent years, the need for economical and sustainable ship routing has emerged due to the enforced regulations on environmental issues. Despite the development of weather forecasting technology, maritime accidents by rough waves have continued to occur due to incorrect weather forecasts. In this study, onboard measurements are conducted to observe the acutal situation on merchant ships in operation encountering rough waves. The types of measured data include information related to navigation (Ship's position, speed, bearing, rudder angle) and engine (engine revolutions, power, shaft thrust, fuel consumption), weather conditions (wind, waves), and ship motions (roll, pitch, and yaw). These ship experiments was conducted to 28,000 DWT bulk carrier, 63,000 DWT bulk carrier, 20,000 TEU container ship, and 12,000 TEU container ship. The actual ship experiment of each ship is intended to acquire various types of data and utilize them for multi-objective studies related to ship operation. Additionally, in order to confirm the sea conditions, the directional wave spectrum was reproduced using a wave simulation model. Through data collection from ship experiments and wave simulations, various studies could be proceeding such as the measurement for accurate wave information by marine radar and analysis for cargo collapse accidents. In addition, it is expected to be utilized in various themes from the perspective of safety and efficiency in ship operation.