Journal is indexed in following databases:
- SCOPUS
- Web of Science Core Collection - Journal Citation Reports
- EBSCOhost
- Directory of Open Access Journals
- TRID Database - Transportation Research Board
- Index Copernicus Journals Master List
- BazTech
- Google Scholar
2023 Journal Impact Factor - 0.7
2023 CiteScore - 1.4
ISSN 2083-6473
ISSN 2083-6481 (electronic version)
Editor-in-Chief
Associate Editor
Prof. Tomasz Neumann
Published by
TransNav, Faculty of Navigation
Gdynia Maritime University
3, John Paul II Avenue
81-345 Gdynia, POLAND
e-mail transnav@umg.edu.pl
Port Tugboat Formation Multi-Agent Control System
Times cited (SCOPUS): 3
ABSTRACT: 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.
KEYWORDS: e-Navigation, Multi-Agent System (MAS), International Maritime Organization (IMO), Artificial Intelligence (AI), Autonomous Vessels, Tug Operations, Maritime Safety Committee (MSC), Multi-Agent Conbtrol System
REFERENCES
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). - doi:10.1007/978-3-642-14435-6_1
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).
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.
Du, Z., Reppa, V., Negenborn, R.R.: Cooperative Control of Autonomous Tugs for Ship Towing. IFAC-PapersOnLine. 53, 2, 14470–14475 (2020). - doi:10.1016/j.ifacol.2020.12.1448
Kravari, K., Bassiliades, N.: A Survey of Agent Platforms. Journal of Artificial Societies and Social Simulation. 18, 1, 11 (2015). - doi:10.18564/jasss.2661
Nuchturee, C., Li, T., Xia, H.: Energy efficiency of integrated electric propulsion for ships – A review. Renewable and Sustainable Energy Reviews. 134, 110145 (2020). - doi:10.1016/j.rser.2020.110145
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.
Singh, A.J., Nguyen, D.T., Kumar, A., Lau, H.C.: Multiagent Decision Making For Maritime Traffic Management. AAAI. 33, 01, 6171–6178 (2019). - doi:10.1609/aaai.v33i01.33016171
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). - doi:10.1007/s12555-019-0395-8
Weintrit, A.: Initial Description of Pilotage and Tug Services in the Context of e-Navigation. Journal of Marine Science and Engineering. 8, 2, (2020). - doi:10.3390/jmse8020116
Xu, W., Wu, S.: Ship Agent model for traffic flow simulation in inland waterway. IOP Conf. Ser.: Mater. Sci. Eng. 768, 7, 072104 (2020). - doi:10.1088/1757-899X/768/7/072104
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 (2019). - doi:10.1016/j.ocecoaman.2019.02.003
Citation note:
Koznowski W., Łebkowski A.: Port Tugboat Formation Multi-Agent Control System. TransNav, the International Journal on Marine Navigation and Safety of Sea Transportation, Vol. 15, No. 4, doi:10.12716/1001.15.04.13, pp. 807-814, 2021
Authors in other databases:
Wojciech Koznowski:
44861333300
YtpSijAAAAAJOther publications of authors:
File downloaded 306 times
