[논문]최적안전항로를 위한 충돌위험도 평가시스템의 개발

전호군; 정연철

doi:10.7837/kosomes.2018.24.6.670

최적안전항로를 위한 충돌위험도 평가시스템의 개발
Development of a Collision Risk Assessment System for Optimum Safe Route 원문보기

海洋環境安全學會誌 = Journal of the Korean society of marine environment & safety, v.24 no.6, 2018년, pp.670 - 678

전호군 (한국해양과학기술원 해양방위.안전연구센터) , 정연철 (한국해양대학교 항해학부)

초록
AI-Helper

선박의 통행량이 많은 연안해역은 선박들 사이에 복잡한 조우상황이 자주 발생하기 때문에 충돌사고의 가능성이 높다. 따라서 해상에서 충돌사고를 줄이기 위해서는 항해사의 국제충돌예방규칙(COLREG) 준수에 더하여 정량적인 충돌위험평가가 요구된다. 본 연구에서는 선박의 계획항로에 대한 충돌위험을 평가하기 위한 새로운 충돌위험도 평가시스템이 개발되었다. 먼저 기존의 충돌위험 평가모델들을 검토함으로써 적절한 충돌위험 평가방법이 제시되었다. 시스템은 MATLAB을 사용하여 개발되었으며 해도, 범퍼 및 평가의 세 부분으로 구성된다. 개발된 시스템은 시험을 위해 간단한 계산조건으로 시험해역에 적용되었으며, 그리고 검증을 위해 실제 계산조건으로 실제해역에 적용되었다. 그 결과 충돌위험은 자선의 길이, 항해시간 및 항로 등에 의해 영향을 받는 것으로 나타났다. 개발된 시스템은 항해사가 출항전 최적안전항로를 선택하는데 도움을 줄 수 있을 것으로 기대된다.

Abstract ▼ AI-Helper

In coastal waters where the traffic volume of the ship is high, there is a high possibility of a collision accident because complicated encounter situations frequently occurs between ships. To reduce the collision accidents at sea, a quantitative collision risk assessment is required in addition to the navigator's compliance with COLREG. In this study, a new collision risk assessment system was developed to evaluate the collision risk on ship's planned sailing routes. The appropriate collision risk assessment method was proposed on the basis of reviewing existing collision risk assessment models. The system was developed using MATLAB and it consists of three parts: Map, Bumper and Assessment. The developed system was applied to the test sea area with simple computational conditions for testing and to actual sea areas with real computational conditions for validation. The results show the length of own ship, ship's sailing time and sailing routes affect collision risks. The developed system is expected to be helpful for navigators to choose the optimum safe route before sailing.

주제어

AI 본문요약
AI-Helper

* AI 자동 식별 결과로 적합하지 않은 문장이 있을 수 있으니, 이용에 유의하시기 바랍니다.

문제 정의

Thus, the purpose of this study is to develop a system which can be used to assess the collision risk of planned route quantitatively. The developed system can help navigators to select an appropriate route as a decision supporter.

제안 방법

Secondly, four models have difference in quantitative and qualitative assessment. ES, IWRAP and Traffic Congestion models evaluate the collision risk quantitatively. The SJ in ES model and the causation probability in IWRAP model can be considered as the value of collision risk.
In this study, the ESS values are adopted as CRI for the collision risk assessment system, because it considers all encounter situations including overtaken and the ES model is well-known and being used widely for collision risk assessment.
The existing collision risk assessment tools are suitable to evaluate the collision risks for specific area and waterway, but not suitable to evaluate the collision risks on planned sailing route. Therefore, in this study, a collision risk assessment system was developed consisting three parts such as map part to display the area map, bumper part to compute the bumper size from own ship and route information, and assessment part to compute and display the sum of CRI in each bumper from AIS data, respectively.
To check the difference in collision risk according to ship’s length, the collision risks were computed by varying the length of own ship to 50, 100 and 200m, respectively.
To check the difference in collision risk according to ship’s sailing time, the collision risks were computed by varying the departure time of ship to 12:00, 15:00, 18:00, and 21:00 UTC, respectively.
To examine the effectiveness of collision risk assessment system, test and validation were performed respectively. Firstly, the test of the system was done in test sea area with relatively simple computing conditions to check whether the model is running properly or not.

대상 데이터

For this study the actual sea area for validation of the system was the area from Busan to Yeosu along the southern coast of Korea. This area has much traffic due to major trading ports and fishing ports and linked to Pacific Sea and South China Sea (MOF, 2010).
The recommended route is one modified manually from actual route after considering the traffic flow, water depth and distance from shore. The model ship has length 250m and draft 11.6m. First of all, recommended route is chosen avoiding main traffic flow where own ship encounter other vessels frequently.
The test sea area of the system is Ulsan Port approaching area. This area has a high risk of collision because the encounter types of arriving and departing vessels are very complicated (MOF, 2015).

이론/모형

For test of the system, an artificial 8-azimuth test route was used. The AIS data for 1 day of 21st May, 2015 were used for system run and the sailing time was not considered for computation.

성능/효과

For the test of this system, it was applied to test sea area with simple computational conditions and confirmed that the system did run normally. Also, to check the validation of the system, it was applied to actual sea area with complex computational conditions, same to actual sailing conditions as possible, and confirmed that the system also work satisfactorily. Furthermore, to investigate the difference in collision risks according to the length of own ship, ship’s sailing time and sailing routes, various experiments were performed, and got useful results.

참고문헌 (27)

Efficient Sea(2012), Analysis of the near-collisions using AIS data for the selected locations in the Baltic Sea, p. 4.
EMSA(2017), European Maritime Safety Agency, Annual overview of marine casualties and incidents 2017, p. 20, p. 24.
e-Nation Index(2018), Status of dominant fleet of major shipping countries (in Korean), http://www.index.go.kr/potal/main/EachDtlPageDetail.do?idx_cd1262.
Friss-Hansen, P.(2008), Basic Modelling Principles for Prediction of Collision and Grounding Frequencies, Technical University of Denmark.
Fujii, Y. and K. Tanaka(1971), Traffic Capacity, Journal of Navigation, Vol. 24, No. 1, pp. 543-552.

상세보기
Fujii, Y., T. Makishima and K. Hara(1981), Marine Traffic Engineering (in Japanese), Kaibundo, p. 45, pp. 119-129.
Fujii, Y. and N. Mizuki(1998), Design of VTS systems for water with bridges, Proc. of the International Symposium on Advances in Ship Collision Analysis. Gluver & Olseneds, Copenhagen, Denmark, 10-13 May, 1998, pp. 177-190.
Gong, I. Y.(2003), A Review on the Characteristics of Environmental Stress Model for Maritime Traffic Safety Assessment (in Korean), Journal of Korean Navigation and Port Research, Vol. 27, No. 5, pp. 479-486.
Inoue, K. and K. Hara (1973), Detection Days and Level of Marine Traffic Volume, Japan Institute Navigation, Vol. 50, pp. 1-8.

상세보기
Inoue, K., M. Kubono, M. Miyasaka and D. Hara(1997), Modeling of Mariners' Perception of Safety when Being Faced with Imminent Danger (in Japanese), The Kansai Society of Naval Architects of Japan, Vol. 97, pp. 235-245.
Inoue, K.(2000), Evaluation Method of Ship handling Difficulty for Navigation in Restricted and Congested Waterways, Journal of Navigation, Vol. 53, No. 1, pp. 167-180.

상세보기
Jeong, J. S., K. I. Kim and G. K. Park(2012), A Quantitative Collision Probability Analysis in Port Waterway (in Korean), Journal of Korean Institute of Intelligent Systems, Vol. 22, No. 3, pp. 373-378.

원문보기 상세보기
Kang, W. S., T. H. Song, Y. D. Kim and Y. S. Park(2017), A Study on Seasonal Variation in Marine Traffic Congestion on Major Port and Coastal Routes (in Korean), Journal of the Korean Society of Marine Environment and Safety, Vol. 23, No. 1, pp. 1-8.

원문보기 상세보기
Kim, J. S., Y. S. Park, T. Y. Heo, J. Y. Jeong and J. S. Park(2011a), "A Study on the Development of Basic Model for Marine Traffic Assessment Considering the Encounter Type between Ships" in Korean, Journal of the Korean Society of Marine Environment and Safety, Vol. 17, No. 3, pp. 227-233.

원문보기 상세보기
Kim, S. T., H. K. Rhee and I. Y. Gong(2017), Improving Assessments of Maritime Traffic Congestion Based On Occupancy Area Density Analysis for Traffic Vessels (in Korean), Journal of the Korean Society of Marine Environment and Safety, Vol. 23, No. 2, pp. 153-160.

원문보기 상세보기
Kim, D. S. and J. B. Lim(2016), A Study on the Collision Risk Perception Index to OOW's According to Vessel Encountering Situations (in Korean), Journal of the Korean Society of Marine Environment and Safety, Vol. 22, No. 1, pp. 98-107.

원문보기 상세보기
Kim, D. W., J. S. Park and Y. S. Park(2011b), Comparison Analysis between the IWRAP and the ES model in Ulsan Waterway, Journal of Korean Navigation and Port Research, Vol. 35, No. 4, pp. 281-287.

원문보기 상세보기
KMST(2017), Korea Maritime Safety Tribunal, The White paper of Accident 2017 (in Korean).
Lee, J. S.(2017), The Development of the Ship Collision Risk Model from the VTSO's Viewpoint (in Korean), Korea Maritime and Ocean University, Graduate school, PhD Dissertation.
MOF(2010), Ministry of Oceans and Fisheries, Finding the risk factors of marine traffic in South Sea and preparing countermeasures (in Korean), p. 15.
MOF(2015), Ministry of Oceans and Fisheries, Summary Report for Ulsan Port (in Korean), p. 8.
Park, Y. S., J. S. Kim and V. Aydogdu(2013), A Study on the Development the Maritime Safety Assessment Model in Korean Waterway (in Korean), Korean Journal of Navigation & Port Research, Vol. 37, No. 6, pp. 567-574.

원문보기 상세보기
Statista(2017), Number of ships in the world merchant fleet between January 1, 2008 and January 1, 2017, by type, https://www.statista.com/.
Thanh, N. X., Y. S. Park, J. S. Park and T. G. Kim(2015), A Study on the Marine Traffic Assessment based on Traffic Distribution in the Strait of Malacca, Journal of the Korean Society of Marine Environment and Safety, Vol. 21, No. 1, pp. 25-33.

원문보기 상세보기
UBC(2018), University of British Colombia, "m_map", https://www.eoas.ubc.ca/-rich/map.html.
USCG(2010), United State Coast Guard, Introduction to PAWSA.
Zhao, J., Z. Wu and F. Wang(1993), Comments on Ship Domains, Journal of Navigation, Vol. 46, pp. 422-436.

상세보기

저자의 다른 논문 :

LOADING...

표제어: PCR

동의어: Packet Collision Rate

용어 설명 출처 목록 (6)

용어 설명: PCR은 세균 특이성이 있는 primer를 이용하여 적은 수의 세균이 있을지라도 쉽게 검출할 수 있는 유용한 방법이며, 이를 이용하여 구강 내 치면세균막이나 타액에서 직접 세균을 검출할 수 있게 되었다[8].

내보내기 구분	파일저장 인쇄 메일전송
구성항목	기본정보 상세정보 관리번호, 논문명, 저널/프로시딩명, 저자 , 발행년, 권, 호, 시작페이지, 끝페이지, 발행기관 관리번호, 논문명, 대등논문명, 저자 , 저널/프로시딩명, 발행기관, 발행년, 발행언어, 권, 호, 시작페이지, 끝페이지, ISBN, ISSN, 주제분야, 키워드, 초록(한글), 초록(영문), 저자(소속기관)
저장형식	Text(ASCII format) Excel format RefWorks Direct Export RIS format (for Reference Manager, ProCite, EndNote), Scholar's Aids, Mendeley
메일정보	받는사람 (필수) @ 보내는사람 (선택) @ 제목 내용 KISTI 검색결과 이메일 서비스
안내	총 건의 자료가 검색되었습니다. 다운받으실 자료의 인덱스를 입력하세요. (1-10,000) 검색결과의 순서대로 최대 10,000건 까지 다운로드가 가능합니다. 데이타가 많을 경우 속도가 느려질 수 있습니다.(최대 2~3분 소요) 다운로드 파일은 UTF-8 형태로 저장됩니다. 파일의 내용이 제대로 보이지 않을실 때는 웹브라우저 상단의 보기 -> 인코딩 -> 자동선택 여부를 확인하십시오. ~ Text(ASCII format) Excel format

연합인증