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Article

Application of Collision Warning Algorithm Alarm in Fishing Vessel’s Waterway

1
Ocean Science and Technology School, Korea Maritime and Ocean University, Busan 49112, Korea
2
Division of Navigation Convergence Studies, Korea Maritime and Ocean University, Busan 49112, Korea
3
Korea Maritime Institute, Busan 49111, Korea
4
SafeTechResearch, Inc., Daejeon 34050, Korea
5
Graduate School, Korea Maritime and Ocean University, Busan 49112, Korea
*
Author to whom correspondence should be addressed.
Academic Editor: José A. Orosa
Appl. Sci. 2021, 11(10), 4479; https://doi.org/10.3390/app11104479
Received: 21 April 2021 / Revised: 10 May 2021 / Accepted: 11 May 2021 / Published: 14 May 2021
The aim of this study is to apply a collision warning algorithm for a small fishing vessel in a fishing waterway to verify its alarm operation and to validate its feasibility. For this purpose, a scenario-based real ship test was conducted, and cases extracted from real sea data (Vpass data) were applied. Moreover, zones with frequent alarms and high-risk waters were compared. First, we installed millimeter-wave communication terminals in three small fishing vessels and applied our algorithm based on two scenarios. Furthermore, we applied the collision warning algorithm by extracting two cases encountered by multiple ships from the Vpass data. The results show that the algorithm triggered alarms continuously under risky situations. This study also compares waterway risk levels as assessed by maritime risk-assessment tools (potential assessment of risk model, environment stress model, and International Association of Marine Aids to Navigation and Lighthouse Authorities Waterway Risk Assessment Program MkII) and the locations having frequent alarms based on Vpass data collected for 7 days. Not only did the eastern sea of Yeongheung Island indicate that more alarms were triggered, but we found high-risk results from the risk-level assessment, indicating that the risky zones and the frequent alarm zones were identical. Additional research is necessary to develop an algorithm based on qualitative evaluation by actual ship operators. In addition, since fishing vessels navigate differently from general navigation methods during fishing, it is necessary to develop additional algorithms for this. View Full-Text
Keywords: collision warning algorithm; small fishing vessel; potential assessment of risk model (PARK); environment stress model (ES)l; IALA waterway risk assessment program MkII (IWRAP) collision warning algorithm; small fishing vessel; potential assessment of risk model (PARK); environment stress model (ES)l; IALA waterway risk assessment program MkII (IWRAP)
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MDPI and ACS Style

Lee, M.-K.; Park, Y.-S.; Park, S.; Lee, E.; Park, M.; Kim, N.-E. Application of Collision Warning Algorithm Alarm in Fishing Vessel’s Waterway. Appl. Sci. 2021, 11, 4479. https://doi.org/10.3390/app11104479

AMA Style

Lee M-K, Park Y-S, Park S, Lee E, Park M, Kim N-E. Application of Collision Warning Algorithm Alarm in Fishing Vessel’s Waterway. Applied Sciences. 2021; 11(10):4479. https://doi.org/10.3390/app11104479

Chicago/Turabian Style

Lee, Myoung-Ki, Young-Soo Park, Sangwon Park, Eunkyu Lee, Minjeong Park, and Ni-Eun Kim. 2021. "Application of Collision Warning Algorithm Alarm in Fishing Vessel’s Waterway" Applied Sciences 11, no. 10: 4479. https://doi.org/10.3390/app11104479

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