• Proceedings of the Korean Institute of Navigation and Port Research Conference
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• 2014.10a
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• pp.144-146
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• 2014

우리나라 연안해역의 시운전 선박의 해양사고 현황 및 원인을 분석하여 시사점을 도출하고, 시운전 선박 관계자를 대상으로 한 현장의견 분석 결과 및 교통량 분석 결과를 기반으로 하여 시운전 금지해역을 설정하고자 한다. 또한 이를 통하여 시운전금지해역 설정을 위한 법령안에 대하여 제시하여 해상교통안전을 향상시키고자 한다.

• Journal of Navigation and Port Research
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• v.31 no.6
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• pp.447-454
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• 2007

To assess the port development and maritime traffic environment, the future traffic volume has been estimated using the number of inbound and outbound vessel for a specific port. The estimation of future traffic volume should be considered as an important factor to establish the degree of fairway congestion, the determination of fairway width and the operational role. Until now, the number of in and out vessel for the port has been only estimated mainly, but the type and size of inbound and outbound ships are different depending on the port's characteristics. So, it is difficult to estimate the future traffic volume using the change of only one item. This paper calculates the future traffic volume using the marine traffic characteristic factors as the number of coastal ship and ocean-going ship, the size of ship and the change of cargo volume per a ship etc. And it compared with the results of Artificial Neural Network(ANN) for accurate identification of nonlinear system.

• Journal of the Korean Society of Marine Environment & Safety
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• v.20 no.2
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• pp.186-192
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• 2014

In this paper, we analysed vessel traffic volume and patterns of traffic flow for ships using areas where included wind farm site and adjacent waters of Daejeong Offshore Wind Farm, and estimated traffic volume by classified navigational routes according to suggestion of rational routeing measures on the basis of classified patterns after installation of offshore wind facilities. Also, we assessed vessel traffic safety for each designed routeing measures on the basis of estimated traffic volume and proposed requisite countermeasures for the safe navigation of ships. With a result of analysing patterns of traffic flow, the current traffic flow was classified by 8 patterns and the annual traffic volume was predicted to 8,975 ships. On the basis of these, expected the vessel traffic volume according to designed four routeing mesaures after installation of wind farm. As result of assessing vessel traffic safety by using powered-vessel collision model of SSPA on the basis of the estimated traffic volume, the value of collision probability was less than safe criteria $10^{-4}$. Thereby we made sure usability of the designed routeing measures for the safe navigation of ships.

• Journal of Korea Ship Safrty Technology Authority
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• s.32
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• pp.72-83
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• 2012

중대한 해양사고를 예방하고 잠재적인 해양사고의 원인을 제거하기 위하여 해상교통안전진단 제도가 "해상교통안전법" 개정('09. 5. 27)을 통해 정식 제도화되었다. 법 시행 이후 수행된 연구 중 하나인 '해상안전진단제도의 기술기준 및 고도화 연구'에서는 관련 평가 중 하나인 해상 교통혼잡도 평가에 사용되는 환산교통량 및 표준선이 현재 선박의 대형화 및 고속화 추세를 반영하고 있지 못함을 제시, 개선의 필요성을 말하였다. 이에 먼저 관련한 일본의 이론과 국내 진단대행업자의 평가 이론 현황을 파악 분석한 바, 이론 및 진단대행업자 별로 분석요소들을 다르게 사용하고 있어 표준화의 필요성을 발견하였고 또한 2010년 선박 입출항 통계를 이용한 선박현황을 분석한바 이론에서 사용하는 표준선과는 상당이 차이가 있음이 나타났다. 이후 관련 개선을 위한 기술기준(안)을 제안하여 전문가들의 의견 수렴과 이를 분석한 결과, 비록 소수의 상반된 의견이 있었지만, 표준선 변경에 따른 환산교통량 변화가 해상교통혼잡도에 미치는 영향은 그리 크지 않음을 알 수 있었다. 마지막으로 평가관련 개선을 위한 최종 기술기준(안) 및 앞으로 발전방향을 제시하여 해상교통 혼잡도 평가 발전을 위한 연구기반을 마련하고자 하였다.

• Proceedings of the Korean Institute of Navigation and Port Research Conference
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• 2011.06a
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• pp.135-137
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• 2011

VTS 시스템의 비약적인 발전에도 불구하고, 현재 물동량의 증가에 따른 선박 교통량 및 고위험군 선박의 증가로 인해 언제든지 사고의 내연성을 가지고 있다. 또한 입출항 항로에서의 어로행위나 무단횡단, 부두 신설로 인한 해상교통 여건의 어려움을 가지고 있는 것이 현실이다. 이런 상황에서 고위험군 선박 즉, 거대형선이나 대형 원유선, 구조물 운송 예부선의 해양 안전 사고 예방을 위해 특별관리체제(전담관제)를 구축함으로써 항로의 안전성 확보 및 충돌 예방을 위한 방안을 제시하고자 한다.

• Proceedings of the Korean Institute of Navigation and Port Research Conference
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• 2018.05a
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• pp.290-291
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• 2018

최근 해상교통량이 증가하고 연안 항해에 대한 관제 필요성이 요구되면서 선박 교통 관제구역이 점차 확대되는 추세이다. 이러한 관제구역의 확대는 관제사의 업무 부하를 초래하며, 이로 인해 교통 혼잡 시간대와 같이 교통량이 급증하는 경우 관제사가 위험 상황을 인지하지 못하는 상황도 발생하게 된다. 이러한 배경에서 본 논문에서는 관제 업무의 지원을 위해 이상 거동 선박을 자동으로 식별하는 방법을 제안하고자 한다. 제안하는 방법은 기계학습 기술을 기반으로 관제구역 내의 통항 패턴을 모델링하고, 이를 통해 이상 거동 선박을 식별하는 방법으로, 대상 항만의 누적된 AIS 데이터를 이용하여 모델을 학습하며, 실제 항적 및 시뮬레이션 데이터를 이용한 실험을 통해 선박교통관제시스템에의 활용 가능성을 고찰한다.

• Journal of the Korean Society of Marine Environment & Safety
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• v.22 no.2
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• pp.153-159
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• 2016

Gwangyang traffic safety designated area is composed of 3 fairways (Deep water fairway, inbound fairway, and outbound fairway). However, inbound vessels can't use this passage because of Samyeo rock and artificial fishing banks in inbound route. The problem with the rocks and artificial fishing banks has been raised by ship navigators and authorities of the port. This research is about the safety evaluation and management plan of the passage, and we conducted maritime traffic simulation using a model based on a ship operator risks. As a result, assuming that future marine traffic volume is the same as the present, and if the ship operators use 3 fairways and not two, it showed risk reduction of 46.4 % (vessels over 50,000 DWT using DW route) and 57.1 % (vessels over 10,000 DWT using DW route). Also, in a traffic volume condition which is the same as the present, to induce vessels over 50,000 DWT to use DW route is effective in mitigating of risks. Meanwhile, in a condition which increased the traffic volume by 150 %, it is more effective to induce vessels to use DW route. This research is the result of analysis using the model based on ship operator risks, and not cost-effectiveness analysis on the removal of Samyeo rock and artifical fishing banks. This research is expected to be used on setting up the sea route and management plan (particularly, restriction on passing DW route).

• Journal of Korean Society of Transportation
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• v.21 no.1
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• pp.41-49
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• 2003

Marine traffic management could be defined as the implementation of managerial technical measures to improve vessel traffic safety. The managerial elements of vessel traffic management for ports and harbours or narrow channels include the total amount of traffic control, the vessel traffic separation scheme, speed restriction, traffic control by signals, the navigation information service and so forth. This research aims to quantify how much the traffic separation schemes(TSS) contribute to the alleviation effect of ship handling difficulty and to propose a design standard when the individual management measure is applied in an actual waterway. Traffic separation schemes have now been established in most of the major routes and congested waters of the world, and the number of collisions and groundings have often been dramatically reduced. In this part, the relationship between the alleviation of ship handling difficulty and the reduction of encounter figures among ships is quantitatively clarified by applying the ES model. As results of simulation analysis, it is recognized that a traffic separation system is most effective in the case of narrow width and heavy traffic volume. The centre buoy installation reduces about 1/4 of the alleviation of ship handling difficulty, TSS establishment 1/3, and design change to one-way traffic from two-way traffic reduces 1/2.

• Journal of Navigation and Port Research
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• v.30 no.8 s.114
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• pp.617-622
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• 2006

Gamcheon Harbor was developed to cope with increased freight demand of Busan port and supplement function of the north port. Because container wharf is opened to 1997 as well as general wharf, present maximum 50,000DWT class containerships have been incoming and outgoing. However, In Gamcheon port, small size ships such as fishing boats, miscellaneous boats account for 50 percent of the traffic and a public marine products wholesale market that is building on the north wharf will open in 2008. Therefore, it needs to grasp future year traffic volume before establishing operation plan for port management. Also, analysis on crossing situation risk is required because the breakwater entrance in Gamcheon Harbor is narrow and the crossed passing of ship is ever-present at breakwater front. Thus the traffic volume in the future was presumed and quantitative analysis was achieved on crossing situation though simulations with the traffic volume.

• Journal of Navigation and Port Research
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• v.32 no.6
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• pp.425-431
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• 2008

The future cargo transportation and traffic volume on container in Gwangyang port was forecasted by using univariate time series models in this research. And the container ship traffic was produced. The constructed models all were most adapted to Winters' additive models with a trend and seasonal change. The cargo transportation on container in Gwangyang port was estimated each about 2,756 thousand TEU and 4,470 thousand TEU in 2011 and 2015 by increasing each 7.4%, 16.2% compared with 2007. The volume per ship on container was estimated each about 675TEU and 801TEU in 2011 and 2015 by increasing each 30.3%, 54.6% compared with 2007. Also, traffic volume on container incoming in Gwangyang Port was prospected each about 4,078ships and 5,921ships in 2011 and 2015.