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논문 기본 정보

자료유형
학술저널
저자정보
Joo-Sung Kim (Mokpo National Maritime University) Jung Sik Jeong (Mokpo National Maritime University)
저널정보
한국지능시스템학회 INTERNATIONAL JOURNAL of FUZZY LOGIC and INTELLIGENT SYSTEMS INTERNATIONAL JOURNAL of FUZZY LOGIC and INTELLIGENT SYSTEMS Vol.15 No.4
발행연도
2015.12
수록면
268 - 276 (9page)

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초록· 키워드

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A ship’s sailing route or plan is determined by the master as the decision maker of the vessel, and depends on the characteristics of the navigational environment and the conditions of the ship. The trajectory, which appears as a result of the ship’s navigation, is monitored and stored by a Vessel Traffic Service center, and is used for an analysis of the ship’s navigational pattern and risk assessment within a particular area. However, such an analysis is performed in the same manner, despite the different navigational environments between coastal areas and the harbor limits. The navigational environment within the harbor limits changes rapidly owing to construction of the port facilities, dredging operations, and so on. In this study, a support vector machine was used for processing and modeling the trajectory data. A K-fold cross-validation and a grid search were used for selecting the optimal parameters. A complicated traffic route similar to the circumstances of the harbor limits was constructed for a validation of the model. A group of vessels was composed, each vessel of which was given various speed and course changes along a specified route. As a result of the machine learning, the optimal route and voyage data model were obtained. Finally, the model was presented to Vessel Traffic Service operators to detect any anomalous vessel behaviors. Using the proposed data modeling method, we intend to support the decision-making of Vessel Traffic Service operators in terms of navigational patterns and their characteristics.
#Vessel Traffic Service #Traffic pattern #Route extraction #Decision-making support system #Support vector machine

목차

Abstract
1. Introduction
2. Support Vector Machine-Regression
3. Data Extraction
4. Simulation
5. Conclusion
References

참고문헌 (20)

참고문헌 신청
[기타자료] - International Maritime Organization / 1997 / Guidelines for Vessel Traffic Services [IMO Resolution A.857(20)] / International Maritime Organization google schola [학술지(정기간행물)] - 김주성 / 2013 / Prediction Table for Marine Traffic for Vessel Traffic Service Based on Cognitive Work Analysis / International Journal of Fuzzy Logic and Intelligent systems 13 (4) : 315 ~ 323 google schola [학술지(정기간행물)] - Joo-Sung Kim / 2015 / Utilization of Planned Routes and Dead Reckoning Positions to Improve Situation Awareness at Sea / International Journal of Fuzzy Logic and Intelligent systems 14 (4) : 288 ~ 294 google schola [학술대회논문] - J. S. Kim / 2014 / Application of planned routes and dead reckoning positions for supporting decision-making of vessel traffic services / Proceeding of the International Symposium on Advanced Intelligent Maritime Safety and Technology : 121 ~ 124 google schola [학술대회논문] - J. S. Kim / 2015 / Extraction of ship’s tracking model for improving situation awareness at vessel traffic service areas / Proceeding of the Korean Institute of Intelligent Systems (KIIS) Spring Conference : 51 ~ 52 google schola

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