• Title/Summary/Keyword: 해상교통조정

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해상교통량 추정기법에 관한 연구

  • Mun, Seong-Bae;Lee, Chun-Gi;Jeon, Seung-Hwan;Jeong, Eun-Seok;Song, Jae-Uk;Jeong, U-Ri
    • Proceedings of the Korean Institute of Navigation and Port Research Conference
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    • 2013.06a
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    • pp.249-251
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    • 2013
  • 해상교통안전에 영향을 미치는 여러 가지 해상 개발사업으로 인하여 발생할 수 있는 항해안전의 위험요인을 전문적으로 측정하고 평가하는 것으로 '해상교통안전진단제도'가 있다. 이제도의 주요 평가항목에는 해상교통 현황조사, 해상교통 현황측정, 해상 교통시스템 적정성 평가 및 해상교통 안전대책이 있다. 특히 해상교통 현황측정의 세부 항목 중에는 진단 대상 항만 또는 항로가 추정된 미래의 해상교통량을 수용할 수 있는지를 평가하고 필요 시 관련 해역의 교통 흐름을 조정할 목적으로 수행하는 해상교통혼잡도 평가 있다. 이 연구는 현재 교통혼잡도 평가를 위한 미래 해상교통량 추정기법의 문제점의 현황과 이를 개선하여 신뢰도 있는 교통량 예측이 가능한 통계기법을 개발하고자 하는 것이다.

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딥러닝을 이용한 VTS 주의구역 선박교통류 예측 모델(STENet) 개발

  • Kim, Gwang-Il;Kim, Ju-Seong;Jeong, Cho-Yeong;Lee, Geon-Myeong
    • Proceedings of the Korean Institute of Navigation and Port Research Conference
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    • 2018.11a
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    • pp.275-277
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    • 2018
  • 선박 및 해상교통관제에 있어서 교통 혼잡구역에 대한 선박교통밀도 예측은 선박충돌사고 예방에 중요하다. 선박 교통밀도 예측정보는 사전에 진입하는 선박들에게 속력조정, 우회항로 이용 등 사전 조치가 가능하다. 본 연구에서는 해상 선박교통상황을 딥러닝 네트워크에 학습한 주의구역 선박교통류 예측 모델(Ship Traffic Extraction Network, STENet)을 제안하여 주의구역의 선박교통류 예측을 수행하고자 한다. STENet 모델 학습을 위해 여수해역 AIS 데이터를 전처리하고, 생성된 입력(해상교통상황)-출력(주의구역 교통밀도) 쌍 데이터를 적용하여 STENet 모델을 학습하였다. 학습된 모델을 이용하여 선박교통류 예측을 한 결과, 중기예측은 표준 절대 오차(mean absolute error)가 0.4-0.5척이 였으며, 장기예측은 0.7-0.8척의 오차로 기존의 Dead Reckoning에 의한 방법보다 50% 이상 교통밀도 예측성능이 향상 되었다.

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A Study on the Effect of Designated Domestic Traffic Separation Scheme(TSS) -Focused on the Marine Casualty & the Marine Traffic Flow- (국내 통항분리수역 설치 효과에 관한 연구 -해양사고 및 해상교통흐름을 중심으로-)

  • Kim, Chol-Seong;Jeong, Jae-Yong;Lee, Hong-Hoon
    • Journal of the Korean Society of Marine Environment & Safety
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    • v.17 no.1
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    • pp.61-68
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    • 2011
  • The "ship's routeing" system was adopted by IMO and has been operated on the major sea routes of all over the world for the prevention of marine casualty and the improvement of marine traffic flow. Thereupon, also in Korea, the "Hong-do" and "Bogil-do" sea routes on southern coast were designated to mandatory sea area by traffic separation scheme(TSS) in 2003, and the "Geomun-do" sea route on southern coast was designated in 2005. But there were few or no studies on the effect of designated traffic separation scheme in Korea. For this reason, in this paper, we evaluated the contribution of traffic separation scheme to the prevention of marine casualty and the improvement of marine traffic flow after designation of domestic traffic separation scheme using data of the marine casualties and ship's tracks from AIS information. The results of evaluation showed that on the contrary, the cases of marine casualties were increased on some sea routes and regular traffic flows were disturbed by some vessels after designation of traffic separation scheme. For the safer and better sea routes, alternative ideas such as reposition of ship's routing on "Hong-do" and "Bogil-do" sea areas were suggested.

A Study on the Introduction of Effective Route Exchange System in the VTS Area (해상교통관제해역 내 효과적 경로교환 체계 도입에 관한 연구)

  • Pak, Chae-Hong;Jung, Chang-Hyun;Park, Sung-Hyeon
    • Journal of Navigation and Port Research
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    • v.38 no.3
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    • pp.217-225
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    • 2014
  • The system that covers gathering, integrating, exchanging, presenting and analyzing of information within ships and shores for the safety and security in Marine Environment is known as e-Navigation Policy. Northern Europe has been conducting research and development. It came up into a concept that deals with ship's route information between vessels as well as vessels to shores which is better known as route exchange system. The research showed substantial advantages on navigational safety by exchanging the route information between vessels in vicinity and vessels to shores. Therefore, upon the adaptation of route exchange System as a major function in integrated navigational system, the existing procedures in VTS could be changed for betterment. In this study, it was verified the effectiveness of route exchange system by the adaptation of a recent collision accident occurred in Korean coast and suggested that route exchange system which would be carried out by the discretion of VTS center in VTS area. Finally, it proposed the new functions for outstanding services and procedures of integrating traffic organization services on coastal VTS for an effective route exchange system in Korean coastal area.

A Study on the Ship's Routeing in the Ulsan Approaching Waters (울산항 접근수역의 항로지정에 관한 연구)

  • Park Gyei-Kark;Jong Jae-Yong;Kim Chol-Seong;Seo Ki-Yeol
    • Proceedings of KOSOMES biannual meeting
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    • 2005.11a
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    • pp.35-39
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    • 2005
  • Marine traffics near Ulsan approaching waters are crossing and converged at the diverging point of No.1 route-No.2 route and No.1 route-No.3 route and are also concentrated at near No1. route approaching area and the headland of Gawn-Jel. Because the number of berth will increase to 78 from 49 until 2011 due to additional developments, minor modification is expected for the water utilities. This study examined environmental conditions, marine accidental data, marine traffic capacity, traffic flow survey and fisheries zone status near Ulsan approaching water area. Finally, a questionaire survey was carried out for experts and users to propose new plan

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부산항 신항 토도제거 공사 주요공법 및 시공현황

  • Jeong, Hyeong-Sik;Lee, Su-Hyeong
    • Proceedings of the Korean Institute of Navigation and Port Research Conference
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    • 2018.05a
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    • pp.203-205
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    • 2018
  • 최근 컨테이너 물동량 증가와 대형컨테이너 선박의 입항으로 부산항 신항내 선박통항안전성 문제가 대두됨에 따라 신항내 해상교통안전성 확보를 위하여 2017년 토도를 제거하는 공사가 추진되었으며 이와 병행하여 주변 해역을 준설 하는데 목적을 둔 부산항 신항 토도 제거 공사의 주요공법 및 착공 후 현재까지의 주요 공정현황을 요약하였다. 국내 최초로 시행되는 통항안전을 위한 현장 섬의 제거과정에 기존 항로를 유지하면서 단계별 투입장비 및 공법, 주변 환경여건을 고려한 육상 및 해상 공정 조정, 장래 비전 등을 제시하였다.

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An Empirical Study on the Improvement of Marine Traffic System at the Pyeong-taek Adjacent Areas (평택항 접근수역의 해상교통시스템 개선에 관한 실증적 연구)

  • Yoon, Byoung-Won;Park, Jin-Soo;Park, Young-Soo
    • Journal of the Korean Society of Marine Environment & Safety
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    • v.21 no.5
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    • pp.507-514
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    • 2015
  • This study focused on the investigating of the improving measure of marine traffic system around Pyung-Taek Pilotage area. First, we analyzed the marine traffic environment on the study area based on the expert point of view of pilot and shipmasters. Then suggested the following countermeasures to improve the traffic safety according to the analytic results of the hazardous items on the Jangan-Seo and Ippa pilot embarking/disembarking area. We suggested to establish Mokdeok-do TSS and TSS in Ando area, and to adjust the width of Jangan-seo TSS to improve the congestion on the TSSs. Also suggest to put lightbuoys along the outer limit of the TSS. In addition, recommend to establish traffic safety specific area on the Jangan-seo/Ippa-do water, and to suggest expand the anchorage area of Ippa and Jangan-seo anchorage. It is anticipated to improve the traffic safety on the study area through the marine traffic system improvements.

VTS 중심의 효과적 경로공유 방안에 관한 연구

  • Park, Jae-Hong;Jeong, Chang-Hyeon;Park, Seong-Hyeon
    • Proceedings of the Korean Institute of Navigation and Port Research Conference
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    • 2013.10a
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    • pp.201-203
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    • 2013
  • 선박의 출항부터 입항까지 전 과정에서 선박 안전과 보안 및 해양환경 보호 증진을 목적으로 선박과 육상 관련 정보의 수집, 통합, 교환, 표현 및 분석을 수행하고자 하는 e-Navigation 정책 하에 북유럽에서는 선박들 간 및 선박 대 육상 간 Way Point로 구성된 선박의 Route 정보를 교환하여 항행정보로 사용하는 개념인 Route Exchange 방안을 연구 중으로 향후 e-Navigation 시스템에서는 선박통합항행시스템의 주요 기능으로써 구현 및 현 VTS 관제 방식에도 큰 변화를 가져올 것으로 예상된다. 이에 따라 이 연구는 북유럽에서 선행 연구 중인 Route Exchange 개념을 소개하고 실제 사고사례를 통해 Route Sharing의 필요성을 제기하며 항만과 연안 VTS 관제 해역 내 적용 시에 고려되어야 할 문제점 및 방향성 제시와 함께 시급히 개선되어져야 할 관제장비 기능에 대하여 소개함으로써 관제해역 내 적정 Route Exchange 도입방안을 모색한다.

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A Basic Study on Prediction Module Development of Collision Risk based on Ship's Operator's Consciousness (선박운항자 의식 기반 충돌 위험도 예측 모듈 개발에 관한 연구)

  • Park, Young-Soo;Park, Sang-Won;Cho, Ik-Soon
    • Journal of Navigation and Port Research
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    • v.39 no.3
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    • pp.199-207
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    • 2015
  • In ports of Korea, the marine traffic flow is congested due to a large number of vessels coming in and going out. In order to improve the safety and efficiency of these vessels, South Korea is operating with a Vessel Traffic Service System, which is monitoring its waters for 24 hours. However despite these efforts of the VTS (Vessel Traffic Service) officers, collisions are occurring continuously, the risk situation is analyzed that occurs once in about 20 minutes, the risk may be greater. It investigated to reduce these accidents by providing a safety standard for collision danger in a timely manner. Thus, this study has developed a risk prediction module to predict risk in advance. This module can avoid collision risk to adjust the speed and course of ship using a risk evaluation model based on ship operator's risk perspective. Using this module, the ship operators and VTS officers can easily be identified risks in complex traffic situations, so they can take an appropriate action against danger in near future including course and speed change. To verify the effectiveness of this module, this paper predicted the risk of each encounter situation and confirmed to be capable of identifying a risk changes in specific course and speed changes at Busan coastal water.

Deep Learning Research on Vessel Trajectory Prediction Based on AIS Data with Interpolation Techniques

  • Won-Hee Lee;Seung-Won Yoon;Da-Hyun Jang;Kyu-Chul Lee
    • Journal of the Korea Society of Computer and Information
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    • v.29 no.3
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    • pp.1-10
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    • 2024
  • The research on predicting the routes of ships, which constitute the majority of maritime transportation, can detect potential hazards at sea in advance and prevent accidents. Unlike roads, there is no distinct signal system at sea, and traffic management is challenging, making ship route prediction essential for maritime safety. However, the time intervals of the ship route datasets are irregular due to communication disruptions. This study presents a method to adjust the time intervals of data using appropriate interpolation techniques for ship route prediction. Additionally, a deep learning model for predicting ship routes has been developed. This model is an LSTM model that predicts the future GPS coordinates of ships by understanding their movement patterns through real-time route information contained in AIS data. This paper presents a data preprocessing method using linear interpolation and a suitable deep learning model for ship route prediction. The experimental results demonstrate the effectiveness of the proposed method with an MSE of 0.0131 and an Accuracy of 0.9467.