Application of Collision Warning Algorithm Alarm in Fishing Vessel’s Waterway
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 ap...
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| Format: | Article |
| Language: | English |
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MDPI AG
2021-05-01
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| Series: | Applied Sciences |
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| Online Access: | https://www.mdpi.com/2076-3417/11/10/4479 |
| _version_ | 1797534128472588288 |
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| author | Myoung-Ki Lee Young-Soo Park Sangwon Park Eunkyu Lee Minjeong Park Ni-Eun Kim |
| author_facet | Myoung-Ki Lee Young-Soo Park Sangwon Park Eunkyu Lee Minjeong Park Ni-Eun Kim |
| author_sort | Myoung-Ki Lee |
| collection | DOAJ |
| description | 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. |
| first_indexed | 2024-03-10T11:25:15Z |
| format | Article |
| id | doaj.art-de722a8279e1432295b68080175e41fb |
| institution | Directory Open Access Journal |
| issn | 2076-3417 |
| language | English |
| last_indexed | 2024-03-10T11:25:15Z |
| publishDate | 2021-05-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Applied Sciences |
| spelling | doaj.art-de722a8279e1432295b68080175e41fb2023-11-21T19:43:46ZengMDPI AGApplied Sciences2076-34172021-05-011110447910.3390/app11104479Application of Collision Warning Algorithm Alarm in Fishing Vessel’s WaterwayMyoung-Ki Lee0Young-Soo Park1Sangwon Park2Eunkyu Lee3Minjeong Park4Ni-Eun Kim5Ocean Science and Technology School, Korea Maritime and Ocean University, Busan 49112, KoreaDivision of Navigation Convergence Studies, Korea Maritime and Ocean University, Busan 49112, KoreaKorea Maritime Institute, Busan 49111, KoreaSafeTechResearch, Inc., Daejeon 34050, KoreaKorea Maritime Institute, Busan 49111, KoreaGraduate School, Korea Maritime and Ocean University, Busan 49112, KoreaThe 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.https://www.mdpi.com/2076-3417/11/10/4479collision warning algorithmsmall fishing vesselpotential assessment of risk model (PARK)environment stress model (ES)lIALA waterway risk assessment program MkII (IWRAP) |
| spellingShingle | Myoung-Ki Lee Young-Soo Park Sangwon Park Eunkyu Lee Minjeong Park Ni-Eun Kim Application of Collision Warning Algorithm Alarm in Fishing Vessel’s Waterway Applied Sciences collision warning algorithm small fishing vessel potential assessment of risk model (PARK) environment stress model (ES)l IALA waterway risk assessment program MkII (IWRAP) |
| title | Application of Collision Warning Algorithm Alarm in Fishing Vessel’s Waterway |
| title_full | Application of Collision Warning Algorithm Alarm in Fishing Vessel’s Waterway |
| title_fullStr | Application of Collision Warning Algorithm Alarm in Fishing Vessel’s Waterway |
| title_full_unstemmed | Application of Collision Warning Algorithm Alarm in Fishing Vessel’s Waterway |
| title_short | Application of Collision Warning Algorithm Alarm in Fishing Vessel’s Waterway |
| title_sort | application of collision warning algorithm alarm in fishing vessel s waterway |
| topic | collision warning algorithm small fishing vessel potential assessment of risk model (PARK) environment stress model (ES)l IALA waterway risk assessment program MkII (IWRAP) |
| url | https://www.mdpi.com/2076-3417/11/10/4479 |
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