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Port tugboat formation multi-agent control system

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Warianty tytułu
Języki publikacji
EN
Abstrakty
EN
The publication presents the structure of the agent system, tasked with control of the formation of unmanned port tugboats capable of performing pilot and towing services. The use of autonomous tugboats with installed software was presented with respect to the existing regulations related to Resolution MSC.467 developed by the Maritime Safety Committee (MSC) belonging to the International Maritime Organization (IMO), which creates guidelines for the definition and harmonization of the structure and format of maritime services in the context of e-navigation. The use of a multi-agent system structure enables synergistic cooperation of tugboats carrying out joint port operations, such as: assistance in maneuvers of ships, precision movement of ships and other objects in port areas, monitoring and patrolling of port areas, carrying out ice operations, carrying out inspections of quays, the possibility of assistance in liquidation of petroleum and similar pollutant spills. The paper presents the structure of the agent system and the description of possible scenarios of port operations. The control algorithms and the applied methods of artificial intelligence, such as evolutionary algorithms with elements of fuzzy logic, were discussed. The recorded traffic parameters from the actions carried out in the simulator of the marine navigation environment were presented.
Twórcy
autor
  • Gdynia Maritime University, Gdynia, Poland
  • Gdynia Maritime University, Gdynia, Poland
Bibliografia
  • 1. Abramowicz-Gerigk, T., Burciu, Z.: Application of Ship Motion Simulation in Reliability Assessment of Ship Entrance into the Port. TransNav, the International Journal on Marine Navigation and Safety of Sea Transportation. 10, 4, 613–617 (2016). https://doi.org/10.12716/1001.10.04.10.
  • 2. Balaji, P.G., Srinivasan, D.: An Introduction to Multi-Agent Systems. In: Srinivasan, D. and Jain, L.C. (eds.) Innovations in Multi-Agent Systems and Applications - 1. pp. 1–27 Springer Berlin Heidelberg, Berlin, Heidelberg (2010). https://doi.org/10.1007/978-3-642-14435-6_1.
  • 3. Couasnon, P., de Magnienville, Q., Wang, T., Claramunt, C.: A Multi-agent System for the Simulation of Ship Evacuation. In: Kawai, Y., Storandt, S., and Sumiya, K. (eds.) Web and Wireless Geographical Information Systems. pp. 63–74 Springer International Publishing, Cham (2019).
  • 4. Demonstration of Autonomous and Remote-Controlled Ship Operations: https://www.maritime-executive.com/article/demonstration-of-autonomous-and-remote-controlled-ship-operations, last accessed 2021/05/17.
  • 5. Du, Z., Reppa, V., Negenborn, R.R.: Cooperative Control of Autonomous Tugs for Ship Towing. IFAC-PapersOnLine. 53, 2, 14470–14475 (2020). https://doi.org/10.1016/j.ifacol.2020.12.1448.
  • 6. Kravari, K., Bassiliades, N.: A Survey of Agent Platforms. Journal of Artificial Societies and Social Simulation. 18, 1, 11 (2015). https://doi.org/10.18564/jasss.2661.
  • 7. Neumann, T.: Telematic Support in Improving Safety of Maritime Transport. TransNav, the International Journal on Marine Navigation and Safety of Sea Transportation. 12, 2, 231–235 (2018). https://doi.org/10.12716/1001.12.02.02.
  • 8. Nuchturee, C., Li, T., Xia, H.: Energy efficiency of integrated electric propulsion for ships – A review. Renewable and Sustainable Energy Reviews. 134, 110145 (2020). https://doi.org/10.1016/j.rser.2020.110145.
  • 9. Przybylowski, A.: Global Trends Shaping Life Quality in Agglomerations with Particular Emphasis on Mobility in Seaport Agglomerations. TransNav, the International Journal on Marine Navigation and Safety of Sea Transportation. 13, 3, 615–620 (2019). https://doi.org/10.12716/1001.13.03.18.
  • 10. Przybylowski, A.: Sustainable Transport Planning & Development in the EU at the Example of the Polish Coastal Region Pomorskie. TransNav, the International Journal on Marine Navigation and Safety of Sea Transportation. 6, 2, 277–286 (2012).
  • 11. Rolls-Royce demonstrates world’s first remotely operated commercial vessel: https://www.rolls-royce.com/media/press-releases/2017/20-06-2017-rr-demonstrates-worlds-first-remotely-operated-commercial-vessel.aspx, last accessed 2021/05/17.
  • 12. Rutkowski, G.: Study of New Generation LNG Duel Fuel Marine Propulsion Green Technologies. TransNav, the International Journal on Marine Navigation and Safety of Sea Transportation. 10, 4, 641–645 (2016). https://doi.org/10.12716/1001.10.04.14.
  • 13. Rybczak, M., Rak, A.: Prototyping and Simulation Environment of Ship Motion Control System. TransNav, the International Journal on Marine Navigation and Safety of Sea Transportation. 14, 2, 367–374 (2020). https://doi.org/10.12716/1001.14.02.13.
  • 14. Singh, A.J., Nguyen, D.T., Kumar, A., Lau, H.C.: Multiagent Decision Making For Maritime Traffic Management. AAAI. 33, 01, 6171–6178 (2019). https://doi.org/10.1609/aaai.v33i01.33016171.
  • 15. Wang, C., Yan, C., Liu, Z.: Leader-following Consensus for Second-order Nonlinear Multi-agent Systems Under Markovian Switching Topologies with Application to Ship Course-keeping. International Journal of Control, Automation and Systems. 19, 1, 54–62 (2021). https://doi.org/10.1007/s12555-019-0395-8.
  • 16. Weintrit, A.: Initial Description of Pilotage and Tug Services in the Context of e-Navigation. Journal of Marine Science and Engineering. 8, 2, (2020). https://doi.org/10.3390/jmse8020116.
  • 17. Xu, W., Wu, S.: Ship Agent model for traffic flow simulation in inland waterway. IOP Conf. Ser.: Mater. Sci. Eng. 768, 7, 072104 (2020). https://doi.org/10.1088/1757-899X/768/7/072104.
  • 18. Ye, X., Chen, B., Li, P., Jing, L., Zeng, G.: A simulation-based multi-agent particle swarm optimization approach for supporting dynamic decision making in marine oil spill responses. Ocean & Coastal Management. 172, 128–136
Uwagi
Opracowanie rekordu ze środków MNiSW, umowa Nr 461252 w ramach programu "Społeczna odpowiedzialność nauki" - moduł: Popularyzacja nauki i promocja sportu (2021).
Typ dokumentu
Bibliografia
Identyfikator YADDA
bwmeta1.element.baztech-95d5c7af-f4a2-420a-a55f-200a4543d1c3
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