English Polski
Akademia Morska w Szczecinie

DSpace Home

DSpace/Manakin Repository

Show simple item record

Author Pietrzykowski, Zbigniew
Affiliation Maritime University of Szczecin, 1 Institute of Maritime Technologies, 1–2 Wały Chrobrego St., 70-500 Szczecin, Poland
E-mail z.pietrzykowski@am.szczecin.pl
Author Magaj, Janusz
Affiliation Maritime University of Szczecin, 1 Institute of Maritime Technologies, 1–2 Wały Chrobrego St., 70-500 Szczecin, Poland
E-mail j.magaj@am.szczecin.pl
Author Wielgosz, Mirosław
Affiliation Institute of Navigation 1–2 Wały Chrobrego St., 70-500 Szczecin, Poland
E-mail m.wielgosz@am.szczecin.pl
ISSN printed 1733-8670
URI http://repository.am.szczecin.pl/handle/123456789/2477
Abstract Port approaches are high-traffic areas with limited manoeuvring space. Navigation in such areas requires the analysis of large amounts of information, which can impede decision processes. One solution may be the development of decision support systems dedicated to these areas. This paper presents an attempt to build a navigation decision support system operable in the approach area leading to the port of Świnoujście (Poland), with ship domain implemented as a safety criterion. Assumptions for a decision support system to be used by sea-going vessels in port approach areas are formulated and discussed. Specific features of these areas, such as traffic density, bathymetry, available manoeuvring space and legal limitations are taken into account. The source and scope of information available to the ship have been analysed. The scope of decision support has been defined. A ship domain has been proposed as a safety criterion. Approach areas leading to the port of Świnoujście have been investigated on the basis of real Automatic Identification System (AIS) data. Vessel movement processes in the chosen area were analysed. Ship domains in various parts of the area were determined. The first results concerning criteria for navigational safety assessment are presented. The conducted studies showed significant differences in the size of domains. A case study was performed on a decision support system operable in the approach area leading to Świnoujście.
Pages 75–83
Publisher Scientific Journals Maritime University of Szczecin, Zeszyty Naukowe Akademia Morska w Szczecinie
Keywords navigation
Keywords safety
Keywords decision support
Keywords collision avoidance
Keywords ship domain
Keywords traffic monitoring
Keywords approach area
Title Navigation decision support for sea-going ships in port approach areas
References
  1. ALRS (2015) Admiralty List of Radio Signals vol. 6(2) 2015/2016, Pilot Services, Vessel Traffic Services and Port Operations, UK Hydrographic Office, Taunton.
  2. Bertram, V. (2000) Practical ship hydrodynamics. Oxford: Butterworth-Heinemann, Linacre House, Jordan Hill.
  3. Blanke, M., Henriques, M. & Bang, J. (2017) A pre-analysis on autonomous ships [Online] Available from: https: //www.dma.dk/Documents/Publikationer/Autonome%20 skibe_DTU_rapport_UK.pdf [Accessed: October 25, 2017]
  4. Coldwell, T.G. (1983) Marine Traffic Behaviour in Restricted Waters. J. Navig. 36, pp. 430–444.
  5. Dinh, G.H. & Im, N-K. (2016) The combination of analytical and statistical method to define polygonal ship domain and reflect human experiences in estimating dangerous area. International Journal of e-Navigation and Maritime Economy 4, pp. 97–108.
  6. Fossen, T. (2011) Handbook of Marine Craft Hydrodynamics and Motion Control. First Edition, John Wiley & Sons Ltd.
  7. Fujii, Y. & Tanaka, K. (1971) Traffic Capacity. Journal of Navigation 24, Royal Institute of Navigation, Cambridge, pp. 543–552.
  8. Goodwin, E.M. (1975) A statistical study of ship domains. The Journal of Navigation 28, pp. 329–341.
  9. Gucma, L. & Gucma, M. (2010) Pilot Docking system – New tool for safe maritime operation. Logistyka 4.
  10. Gucma, S., Bąk, A., Jankowski, S. & Gucma, M. (2008) Pilot Navigation System – a new tool for handling vessels in ports and confined areas. Maintenance Problems 2(69), pp. 175–184.
  11. Hansen, M.G., Jensen, T.K., Lehn-Schiøler, T., Melchild, K., Rasmussen, F.M., Enne- Mark, F. (2013) Empirical Ship Domain based on AIS Data. Journal of Navigation 66(6).
  12. IMO MSC (2017) International Maritime Organization, Maritime Safety Committee. A pre-analysis on autonomous ships, MSC 98/INF.13.
  13. Lazarowska, A. (2015) Ship’s Trajectory Planning for Collision Avoidance at Sea Based on Ant Colony Optimisation. Journal of Navigation 68(02), pp. 291–307.
  14. Pietrzykowski, Z. (2008) Ship’s Fuzzy Domain – a Criterion for Navigational Safety in Narrow Fairways. Journal of Navigation 61, Royal Institute of Navigation, Cambridge, pp. 501–514.
  15. Pietrzykowski, Z. & Magaj, J. (2016) Ship Domains in Traffic Separation Schemes. Scientific Journals of the Maritime University of Szczecin, Zeszyty Naukowe Akademii Morskiej w Szczecinie 45 (117), pp. 143–149.
  16. Pietrzykowski, Z., Wielgosz, M. & Siemianowicz, M. (2012) Ship domain in the restricted area – simulation research. Scientific Journals of the Maritime University of Szczecin, Zeszyty Naukowe Akademii Morskiej w Szczecinie 32 (104), pp. 139–143.
  17. Pietrzykowski, Z., Wołejsza, P. & Borkowski, P. (2017) Decision Support in Collision Situations at Sea. Journal of Navigation 70, 3, Royal Institute of Navigation, Cambridge, pp. 447–464.
  18. SEAiq Pilot (2017) [Online] Available from: http://seaiq. com/features.html [Accessed: October 25. 2017]
  19. seaPro Pilot (2017) [Online] Available from: http://www.euronav. co.uk/products/Commercial/seaPro_Pilot/seaPro_Pilot. html [Accessed: October 25, 2017]
  20. Śmierzchalski, R., Kuczkowski, Ł., Kolendo, P. & Jaworski, B. (2013) Distributed Evolutionary Algorithm for Path Planning in Navigation Situation. TransNav – The International Journal on Marine Navigation and Safety of Sea Transportation 7, 2, pp. 293–300.
  21. Śmierzchalski, R. & Weintrit, A. (1999) Domains of navigational objects as an aid to route planing in collision situation at sea. In: Proc. of 3rd Navigational Symposium, Gdynia, I, 265, (in Polish).
  22. Szłapczyński, R. (2011) Evolutionary sets of safe ship trajectories: a new approach to collision avoidance. The Journal of Navigation 64, pp. 69–181.
  23. Thombre, S., Guinness, R., Kuusniemi, H., Pietrzykowski, Z., Banaś, P., Wołejsza, P., Seppälä, O., Laukkanen, J. & Ghawi, P. (2017) Proof-of-Concept Demonstrator to Improve Safety of Maritime Navigation in the Baltic Sea. European Navigation Conference 2017, Lausanne, IEEE, pp. 232–242.
  24. Thombre, S., Kuusniemi, H., Söderholm, S., Chen, L., Guinness, R., Pietrzykowski, Z. & Wołejsza, P. (2016) Operational Scenarios for Maritime Safety in the Baltic Sea. NAVIGATION, Journal of The Institute of Navigation 63, 4, pp. 519–529.
  25. Totem Plus (2014) Totem Decision Support Tool [Online] Available from: http://www.totemplus.com/DST.html [Accessed: August 31, 2017]
  26. Trelleborg (2017) SmartDock Laser Docking Aid System. [Onlline] Available from: http://www.trelleborg.com/en/ marine-systems/products--solutions--and--services/docking-- and--mooring/docking--aid--system/smart--dock--laser [Accessed: October 25, 2017]
  27. Tsou, M.-Ch. & Hsueh, Ch.-K. (2010) The Study of Ship Collision Avoidance Route Planning by Ant Colony Algorithm. Journal of Marine Science and Technology 18, 5, pp. 746–756.
  28. Xiaoxia, W. & Chaohua, G. (2002) Electronic chart display and information system. Geo-spatial Information Science 5, 1, pp 7–11.
  29. Zhu, X., Xu, H. & Lin, J. (2001) Domain and its model based on neural networks. Journal of Navigation 54, 97.
ISSN on-line 2392-0378
Language English
Funding No data
Figures 6
Tables 4
DOI 10.17402/288
Published 2018-06-27
Accepted 2018-06-11
Recieved 2017-10-24


Files in this item

This item appears in the following Collection(s)

Show simple item record

Search repository

Advanced Search

Browse

My Account

RSS Feeds