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WAVE 통신을 이용한 소형선박 충돌경보시스템 개발 연구

The Development of a Collision Warning System for Small-Sized Vessels Using WAVE Communication Technology

  • 투고 : 2019.02.15
  • 심사 : 2019.04.26
  • 발행 : 2019.04.30

초록

도로 교통에서는 차세대 지능형 교통시스템(C-ITS)의 핵심 기술인 차량용 무선통신기술(WAVE)을 활용하여 교통사고 예방을 위한 차량과 차량, 차량과 인프라간 교통상황 등 정보를 전달하고 있다. 현재 해상에서는 상대선박의 상태 등의 정보를 전달하는 수단으로 AIS를 많이 활용하고 있으나 AIS 과부하 등 문제점이 대두되고 있어 차량용 무선통신기술을 해상에 적용하는 등 이를 해결하기 위한 다양한 연구들이 수행되고 있다. 본 연구에서는 선행연구를 통해 검증된 차량용 무선통신기술(WAVE)의 해상적용을 바탕으로 소형선박에 적합한 선박 충돌경보시스템을 개발하였고 실선 TEST를 통해 충돌경보시스템의 적정성을 검토하였다. 차량용 무선통신기술을 활용한 시스템의 적용을 통해 해양사고 예방뿐만 아니라 e-Navigation이나 자율운항 선박 등 차세대 해양안전기술의 발전에 많은 기여를 할 것으로 예상이 된다.

Wireless communication technology (WAVE) for vehicles, which is the core technology behind the next-generation intelligent transport system (C-ITS), is used to deliver information about vehicles to prevent traffic accidents and traffic situations that may arise between vehicles and infrastructure. Similar traffic issues often arise in marine scenarios. Currently, AIS is being used as a means of transmitting information such as the status of relative vessels, but research is being carried out to solve problems with AIS such as overloading by applying wireless communication technology for vehicles to the sea. In this study, a collision warning system suitable for small-sized vessels was developed based on the marine application of WAVE for vehicles verified through prior research, and the adequacy of this collision warning system was reviewed through a practical test. It is expected that this system will contribute greatly to future e-Navigation applications or self-driving ships as well as to preventing marine accidents.

키워드

참고문헌

  1. Jang, S. H.(2016), Network Simulator Engine Design And Implementation of a Communication Environment Suitable for WAVE, The Graduate School of Hanyang University, pp. 4-6.
  2. Jeon, J. H. and T. G. Jeong(2016), Studies on the Improvement and Analysis of Data Entry Error to the AIS System for the Traffic Ships in the Korean Coastal Area, Journal of Fisheries and Marine Sciences Education, Vol. 28, No. 6, pp. 1812-1821. https://doi.org/10.13000/JFMSE.2016.28.6.1812
  3. Kang, W. S., S. B. Joen and Y. D. Kim(2018), A Study on Marine Application of Wireless Access in Vehicular Environment(WAVE) Communication Technology, Journal of the Korean Society of Marine Environment & Safety, Vol. 24, No. 4, pp. 445-450. https://doi.org/10.7837/kosomes.2018.24.4.445
  4. Kim, Y. A.(2015), A Study on Collision Avoidance System based on WAVE Communication, The Graduate School of Korea National University of Transportation, pp. 6-11.
  5. Kim, D. Y., T. H. Hong, J. S. Jeong and S. J. Lee(2014), Building an Algorithm for Compensating AIS Error Data, Journal of Korean Institute of Intelligent Systems, Vol. 24, No. 3, pp. 310-315. https://doi.org/10.5391/JKIIS.2014.24.3.310
  6. Kim, D. J., K. S. Ahn, T. I. Lee and Y. W. Kim(2013), Development of Collision Avoidance Supporting System based on ECDIS, Korean Institute of Navigation and Port Research, Vol. 2013-2nd Conference, pp. 167-170.
  7. Kim, S. W.(2013), A Study on Ship Collision Avoidance and Order of Priority Designation Model, Journal of the Korea Academia-Industrial cooperation Society, Vol. 14, No. 11, pp. 5442-5447. https://doi.org/10.5762/KAIS.2013.14.11.5442
  8. Kim, J. W., M. Namgung, J. H. Kim and S. B. Lee(2006), Development of Traffic Accidents Prediction Model With Fuzzy and Neural Network Theory, Journal of Korean Society of Transportation, Vol. 24, No. 7, pp. 81-90.
  9. Korea Communications Agency(2014), V2X Communications, Emerged as a Key Technology in Intelligent Transport System, Trends and Prospects (Trend Focus), Vol. 73, pp. 42-44.
  10. Korean Maritime Safety Tribunal(KMST)(2018), Special Investigation Report of Collision Accident for Oil Products Carrier '15Myung Jin' and Fishing Boat 'Sun Chang 1', www.kmst.go.kr.
  11. Le, Dang-Khanh and T. K. Nam(2014), A Study on the Development of the Position Detection System of Small Vessels for Collision Avoidance, Journal of the Korean Society of Marine Environment & Safety, Vol. 20, No. 2, pp. 202-209. https://doi.org/10.7837/kosomes.2014.20.2.202
  12. Lee(2018), A Foundational Study on the Collision Risk of VTS Considering the Operational Characteristics of Small Vessel, Conference of Korean Institute of Navigation and Port Research, Nov., pp. 273-274.
  13. Lee, S. J., J. S. Joeng, M. Y. Kim and G. K. Park(2013), A Study on Real-Time Message Analysis for AIS VDL Load Management, Journal of Korean Institute of Intelligent Systems, Vol. 23, No. 3, pp. 256-261. https://doi.org/10.5391/JKIIS.2013.23.3.256
  14. SMART Navigation Project(2016), Introduction of SMARTNavigation Project and Project activities etc, www.smartnav.org.
  15. Zhang, L., Q. Meng, Z. Xiao and X. Fu(2018), A Novel Ship Trajectory Reconstruction Approach using AIS Data, Ocean Engineering, Vol. 159, pp. 165-174. https://doi.org/10.1016/j.oceaneng.2018.03.085

피인용 문헌

  1. Collision Prevention Algorithm for Fishing Vessels Using mmWAVE Communication vol.8, pp.2, 2020, https://doi.org/10.3390/jmse8020115
  2. WAVE 통신기반 소형 선박 충돌회피 보조시스템 개발 vol.26, pp.1, 2020, https://doi.org/10.7837/kosomes.2020.26.1.008
  3. Application of Collision Warning Algorithm Alarm in Fishing Vessel’s Waterway vol.11, pp.10, 2021, https://doi.org/10.3390/app11104479