• Proceedings of KOSOMES biannual meeting
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• 2018.06a
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• pp.61-61
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• 2018

• Journal of the Korean Society of Marine Environment & Safety
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• v.24 no.7
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• pp.870-874
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• 2018

In the worst maritime accidents, people should abandon ship, but ship structures are narrow and complex and operation takes place on rough seas, so escape is not easy. In particular, passengers on cruise ships are untrained and varied, making evacuation prospects worse. In such a case, the evacuation management of the crew plays a very important role. If a rescuer enters a ship at distress and conducts rescue activities, which zones represent the most effective entry should be examined. Generally, crew and rescuers take the shortest route, but if an accident occurs along the shortest route, it is necessary to select the second-best alternative. To solve this situation, this study aims to calculate evacuation routes using Q-Learning of Reinforcement Learning, which is a machine learning technique. Reinforcement learning is one of the most important functions of artificial intelligence and is currently used in many fields. Most evacuation analysis programs developed so far use the shortest path search method. For this reason, this study explored optimal paths using reinforcement learning. In the future, machine learning techniques will be applicable to various marine-related industries for such purposes as the selection of optimal routes for autonomous vessels and risk avoidance.

• Proceedings of KOSOMES biannual meeting
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• 2018.06a
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• pp.31-31
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• 2018

• Proceedings of the Korean Institute of Navigation and Port Research Conference
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• 2017.11a
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• pp.247-247
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• 2017

연안선은 국제항해 선박에 비해 상대적으로 사고의 위험성은 높으나 이에 대응할 훈련기반이 취약하다. 본 연구에서는 연안선의 화재 및 퇴선상황에서의 승무원의 행동특성을 모델링하고 연안선 환경과 특성에 맞는 CBT용 훈련 프로그램을 개발함으로써 비상시 연안선 승무원의 사고대응 능력을 제고하고자 한다. 특히 이를 위해 연안 여객선에서 여객 대피를 위해 필요한 요소를 검토하여 개선점을 파악하여 프로그램 개발에 반영하고자 한다.

• Proceedings of KOSOMES biannual meeting
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• 2017.04a
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• pp.62-62
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• 2017

• Proceedings of KOSOMES biannual meeting
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• 2018.06a
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• pp.30-30
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• 2018

• Proceedings of KOSOMES biannual meeting
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• 2017.04a
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• pp.42-42
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• 2017

• Journal of the Korean Society of Marine Environment & Safety
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• v.21 no.1
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• pp.47-56
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• 2015

Under the conditions of invested actual changes of heeling angles during MV Sewol's sinking, this study proposes passengers' evacuation scenarios, which are based on the assumption of normal orders of evacuation being given to the passengers, and evaluates using a marine-specialized human evacuation simulation tool. As results, when the heeling angle is set as 0 degree or 30 degree, it is found out that almost every passengers can success to evacuate to the musterstations, even though the evacuation times are different depending on the scenarios and the walking speeds. Meanwhile, when the heeling angle is varied as the Sewol incident, 3.1 %(Scenario Sc-Va which set chutes on port side as evacuation routes), 11.1 %(Sc-Vb, every open decks of port side as evacuation routes) and 20.0 %(Sc-Vc, every open decks of port and AFT sides as evacuation routes) among 476 passengers can successfully reach to the musterstations from their cabins with the condition of average walking speed as 2.04 m/s on flat. And only 0.8 %(Sc-Va), 3.8 %(Sc-Vb) and 10.7 %(Sc-Vc) can success to evacuate with the condition of average walking speed as 1.48 m/s on flat.

• Journal of the Korean Society of Marine Environment & Safety
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• v.18 no.4
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• pp.331-335
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• 2012

On January 13th 2012 Italian flag Costa Concordia was partly sunk. The ship was carrying 4,252 passengers and crew; in the next few days the bodies of 30 people were found. Two are still missing. Two South Korean passengers and an Italian crew member was rescued from the ship on January 15th, more than 24 hours after the accident. As of June 18th 2012 (The date of presentation) around 32 people had not been accounted for. In this paper, it is viewed and pointed out the cause, problem, and implication for the future. As a result, intelligent innovative evacuation system for the VLPS (Very Large Passenger Ship) should be set up in terms of international maritime safety.

• Proceedings of the Korean Institute of Navigation and Port Research Conference
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• 2016.05a
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• pp.178-180
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• 2016

연안선은 중 대형선에 비하여 사고의 위험이 높고 작업 환경이나 안전에 대한 시스템적인 완성도가 매우 취약하다. 또한 바쁜 운항 스케줄과 승무원의 자질등의 여건으로 인하여 비상대응훈련이 잘 시행이 되지 않는 것이 현실이다. 여기에 현재 시행중인 훈련에 대한 시나리오도 중 대형선의 시나리오를 가지고 수정해서 사용하는 경우가 많고 본선에 적합하지 않는 훈련 시나리오를 가지고 훈련을 하는 경우도 많다. 본 연구는 이러한 문제점을 개선하고 연안선의 현실에 맞는 시나리오를 개발 및 자발적 참여유도를 통하여 연안선에서 시행되는 훈련의 효과를 증대시키고 나아가 안전한 해양문화에 이바지하는데 그 의의가 있다.