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Unmanned ship simulation with real-time dynamic risk index

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Języki publikacji
EN
Abstrakty
EN
Currently there is growing interest in unmanned shipping. In the case of unmanned ‘autonomous’ shipping, navigation is automated by on-board decision-making systems. Important motives for unmanned ships include the shortage of skilled mariners, the facilitation of slow steaming strategies, efficiency improvements in confined shipping areas, and increased safety. The aim of the present research is to simulate an unmanned ship through an Automatic Identification System (AIS) based traffic situation. In order to do this, the Maritime Research Institute Netherlands (MARIN) will use the existing simulation technology Dolphin, implement a new tool to read AIS data, simulate a large amount of ships, and develop an auto-captain. The real-time dynamic risk index developed by MARIN will be integrated in Dolphin, to monitor nautical safety of all ships with focus on the unmanned ship. The simulated unmanned ship will navigate according to the International Regulations for Preventing Collisions at Sea (COLREGS). In more complex situations, the auto-captain may use a dedicated decision support tool to find a more efficient solution to pass safely. This approach will be analysed using the real-time dynamic risk index, which will be updated based on latest insights. This paper will discuss the latest development and plans in the unmanned ship simulation project.
Słowa kluczowe
Rocznik
Strony
48--54
Opis fizyczny
Bibliogr. 20 poz., rys., tab.
Twórcy
  • MSCN, MARIN, P.O. Box 28, 6700 AA Wageningen, The Netherlands
  • MSCN, MARIN, P.O. Box 28, 6700 AA Wageningen, The Netherlands
autor
  • MSCN, MARIN, P.O. Box 28, 6700 AA Wageningen, The Netherlands
autor
  • MSCN, MARIN, P.O. Box 28, 6700 AA Wageningen, The Netherlands
Bibliografia
  • 1. ALLEN, C.H. (2012) The Seabots are Here: Should they be Treated as “Vessels”? Journal of Navigation. 65. pp. 749– 752.
  • 2. BURMEISTER, H.-C. & BRUHN, W. (2015) Designing an autonomous collision avaoidanve controller respecting COLREG. Maritime-Port Technology and Development. pp. 83–88.
  • 3. BURMEISTER, H.-C., BRUHN, W.C., RØDSETH, Ø.J. & PORATHE, T. (2014) Can unmanned ships improve navigational safety? Transport resarch Arena 2014, Paris.
  • 4. CHASE, K.H. & TIBLIN B.V. (1971) INCAS Integrated Navigation and Collision Avoidance System. Journal of the institute of Navigation. 18 (2).
  • 5. GLANSDORP, C.C., TAK, C. & KOLDENHOF, Y. (2009) Development of a MOS center and its role in dynamic routing. Proceedings of XIII International scientific and technical conference on Marine Traffic Engineering, pp. 74–81.
  • 6. Hundai (2014) Hyundai heavy industries Developed HiCASS.
  • 7. IPEREN, W.H. van (2012) Detection of hazardous encounters at the North Sea from AIS data. Proceedings of IWNTM 2012. pp. 32–44.
  • 8. KOLDENHOF, Y. & IPEREN, W.H. van. (2014) Real-time Dynamic Risk levels (Assesment of nautical safety levels using AIS). IWNTM 2014, Wuhan, China, pp. 6–12.
  • 9. KOLDENHOF, Y. et al. (2008) Risk and environmental impact analysis, work package 3.1 MarNIS.
  • 10. KOLDENHOF, Y., TAK, C. & GLANSDORP, C.C. (2009) Risk Awareness; a model to calculate the risk of a ship dynamically. Proceedings of XIII International scientific and technical conference on Marine Traffic Engineering. pp. 112–119.
  • 11. KOLDENHOF, Y., NIJSSE, H., TAK, C. & GLANSDORP, C.C. (2010) Risk analysis as an integrated operational and legal instrument with respect to the safety of maritime traffic. Proceedings of the conference Risk Analysis VII (WITpress), PI-245-PI-256.
  • 12. KUCHAR, J.K. & LEE, C.Y. (2000) A review of Conflict Detection and Resolution Modelin Methods. IEEE Transactions on Intelligent Transportation Systems. 1 (4). pp. 179–189.
  • 13. MONTEWKA, J. & PRZEMYŚLAK, K. (2014) Towards the assessment of a critical distance between two encountering ships in open waters. European Journal of Navigation. 12. pp. 7–13.
  • 14. PORATHE, T., PRISON, J. & MAN, Y. (2014) Situation Awareness in Remote Control Centres for Unmanned Ships. Human Factors in Ship Design & Operation. London, UK.
  • 15. RØDSETH, Ø.J. & BURMEISTER, H.-C. (2012) Developments toward the unmanned ship. Proceedings of International Symposium Information on Ships – ISIS 2012, Hamburg, Germany, August 30–31, 2012.
  • 16. TAK, C. van der & GLANSDORP, C.C. (2005) Vessel Traffic Management in European Waters, EMBARC Final Work Package 7 report.
  • 17. THEUNISSEN, E. (2014) Navigation of unmanned vessels – history, enables, challenges and potential solutions. Proceeding INEC, Amsterdam.
  • 18. THEUNISSEN, E. & GROOT, C.A. de (2014) Conflict Detection and Resolution for Semi-Autonomous Vessels. Optimal Deployment of Military Systems-Netherlands Annual review of Military studies 2014. pp. 137–157.
  • 19. WEIBEL, R.E., EDWARDS, M.W.M., FERNANDES, C.S. (2011) Establishing a Risk-Based Separation Standard for Unmanned Aircraft Self Spearation. Ninth USA/Europe Air Traffic Management Research & Development Seminar, Berlin, Germany.
  • 20. PUCKETT, L. (1983) HICANS – Navigation for high Speed Ships. Journal of the Institute of Navigation. 30 (2). pp. 107–122.
Typ dokumentu
Bibliografia
Identyfikator YADDA
bwmeta1.element.baztech-b6253d70-f25d-47b9-93a4-fef1c627017e
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