Study on the Estimation of Collision Risk of Ship in Ship Handling Simulator using Fuzzy Algorithm and Environmental Stress Model

손남선,; 김선영,; 공인영,

doi:10.5394/kinpr.2009.33.1.043

Cited by 10 publications

(5 citation statements)

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“…Kim et al (2013) confirmed the accuracy of the estimation by using fuzzy logic method as a result of examining the simulation performed by modeling the real shape and speed of the objects for realistic estimation of the collision risk. Son et al (2009) evaluated the risk of collision and grounding by two methods. The first method is based on a fuzzy logic algorithm that evaluates the collision risk of ships.…”

Section: Literature Reviewmentioning

confidence: 99%

Determination of Risk Factors Caused By Ships in Port Planning

Yücel

Yurtoren²

2019

International Journal of Environment and Geoinformatics

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World Economy has been globalizing faster than ever as a result of the technological evolution. Increase of global trade brings the need of higher transportation capacity as bigger ships and port facilities. Port construction and expansion investments can be said to be supply to meet demand. Maritime safety is one of the factors affecting the zoning plan approval process in the port construction and extension investments. These factors mostly caused by the ship maneuver. One of the most widely used models is the Environmental Stress (ES) Model in risk assessment of navigation and ship manoeuvre. ES Model measures the risk occurring around the ship during the berthing / unberthing manoeuvres performed in the simulation environment with the ports and ships that are modeled similar to the port project. But, it is not certain which parameter of the port project will be revised such as ship tonnage and length of the ship, port form and size etc. The main benefit of this study is taking precaution with measuring risk by specifying the risk factors and their weights using both ES Model and fuzzy logic method. Thus, the development plan and project evaluation process, which is under the duty and responsibility of the Turkish Ministry of Transport, will be carried out in terms of safety with the method proposed in this study. Another important contribution of this study is its originality in terms of clarification of raw outputs of ES model reports by using fuzzy logic method in scientific literature. So, the revised port project will be realized by providing maritime safety. While port projects are approved by the Ministry of Transport within the scope of the legislation that determines the port planning process in question, the evaluation of Modeling Reports with fuzzy logic method will contribute to both fast and safe project design process.

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Section: Literature Reviewmentioning

confidence: 99%

Determination of Risk Factors Caused By Ships in Port Planning

Yücel

Yurtoren²

2019

International Journal of Environment and Geoinformatics

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“…이런 연구 중에는 퍼지를 활용한 결과들이 많은데, 이는 충돌위험 상황에 대해 위험에 대한 판단 경계가 모호하기도 하고, 사람에게 친숙한 언어적 표현을 반영하여 추론할 수 있 기 때문이다. 예를 들어, 일본의 Hasegawa는 SAFES( Ship Auto-navigation Fuzzy Expert System) 시스템을 소개 (Hasegawa et al, 1989) 한 후 지속적인 수정과정을 거쳐 개선시켜오고 있고 (Hasegawa et al, 2012), 국내에 서는 Hasegawa 기법을 기초로 다중 선박의 충돌위험도 를 산출하여 위험도에 따라 색깔별로 전자해도 상에 표 출하여 항해사가 직관적으로 인식하기 용이하도록 시스 템을 개발한 연구결과가 있다 (Son et al 2009 (Kim. et al, 2010).…”

Section: 서론 최근의 현대화된 다양한 항해장비들로 인해 선박에 서는 항해사의 위험상황 인식에 도움이 될 수 있는 정 unclassified

Design of the Model for Predicting Ship Collision Risk using Fuzzy and DEVS

Yi¹

2016

Journal of the Korea Society for Simulation

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Even thought modernized marine navigation devices help navigators, marine accidents has been often occurred and ship collision is one of the main types of the accidents. Various studies on the assessment method of collision risk have been reported, and studies using fuzzy theory are remarkable for the reason that reflect linguistic and ambiguous criteria for real situations. In these studies, collision risks were assessed on the assumption that the current state of navigation ship would be maintained. However, navigators ignore or turn off frequent alarms caused by the devices predicting collision risk, because they think that they can avoid the collisions in the most of situations. This paper proposes a model of predicting ship collision risk considering the general patterns of collision avoidance, and the approach is based on fuzzy inference and discrete event system specification (DEVS) formalism.

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“…It is assumed that traffic ships' navigational data are collected from AIS. By using fuzzy algorithm, collision risks between all combinations of ships are estimated among multiple ships including own-ship in real time [12]. According to the level of collision risk, different color circle is overlaid on each traffic ship in Electronic Navigation Chart (ENC).…”

Section: Design Of Monitoring System Of Collision Risks Among Shipsmentioning

confidence: 99%

“…Gong applies the environmental stress model due to geographical restriction, to the design of fairway in a harbor [2]. Son compared the collision risk calculated by using fuzzy algorithm, together with environmental stress [12]. Son also designed an algorithm to estimate the collision risk among ships and he applied the algorithm to the actual AIS data [13,14].…”

Section: Introductionmentioning

confidence: 99%

On the Monitoring System of Collision Risks Among Multiple Ships

Son¹,

Kim²,

Lee³

2012

Annual of Navigation

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To reduce crewmembers’ error and increase the safety of ships’ navigation, a recognition system of collision risks among multiple ships is newly-developed. By using ships’ navigational information such as AIS data, an algorithm to calculate collision risks among multiple ships is newly-designed. Collision risks of multiple ships can be estimated considering ships’ position and course of now and future by using fuzzy algorithm. To evaluate the performance of new system, replay simulation is carried out by using actual AIS data of actual collision accident in Korea. In this paper, main features of the monitoring system of collision risks and the results of replay simulation are discussed.

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Study on the Estimation of Collision Risk of Ship in Ship Handling Simulator using Fuzzy Algorithm and Environmental Stress Model

Cited by 10 publications

References 0 publications

Determination of Risk Factors Caused By Ships in Port Planning

Determination of Risk Factors Caused By Ships in Port Planning

Design of the Model for Predicting Ship Collision Risk using Fuzzy and DEVS

On the Monitoring System of Collision Risks Among Multiple Ships

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