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
Intelligent Evaluation System of Ship Management
1 Dalian Maritime University, Liaoning Province, Dalian, China
ABSTRACT: The security of maritime traffic is a significant part of intelligent maritime traffic. It can reduce to ship maneuvering and collision avoidance by macroscopic. Eighty percents of marine accident induce by human factor from research data. So some researches about intelligent computer evaluation system to reduce the accident of human caused have emerged. Intelligent evaluation system of ship maneuvering can calculate the status of ship and getting the data of ship around, and then adopt fuzzy comprehensive evaluation method to calculate the collision risk and evaluate the operation of navigator. If it has danger of collision risk or the navigator adopts irrational operation scheme by calculating, the system will send message to the navigator. The navigator must affirm the messages, if there is not affirmance, the system will adopt collision avoidance measures or other rational operations automatically at the critical moment.
KEYWORDS: Collision Avoidance, Intelligent Evaluation System, Ship Management, Intelligent Maritime Traffic, Fuzzy Comprehensive Evaluation Method, Critical Moment, Ship Manoeuvering, Human Factor (HF)
REFERENCES
Davis P. V. et al. 1980. A Computer Simulation of Marine Traffic Using Domains and Areas, The Journal of Navigation 33(2): 215-222.
Goodwin E. M. 1975. Statistical Study of Ship Domains, The Journal of Navigation 28: 329–341.
Guedes Soares C. & Teixeira A.P. 2001. Risk assessment in maritime transportation, Reliability Engineering and System Safety, 74: 299-309.
Gaarder S. et al. 1997. Impact of human element in marine risk management, Advances in safety and reliability pp. 857-868.
Fuji J. & Tanaka K. 1971. Traffic Capacity, The Journal of Navigation 24(4): 543–552.
LI Li-na et al. 2006. A Summary of Studies on the Automation of Ship Collision Avoidance Intelligence, Journal of Jimei University (Natural Science), 11(2):188-192.
Imazu H. & koyama T. 1984. Determination of times of collision avoidance, The Journal of Japan Institute of Navigation 70: 30-37
Kearon J. 1979. Computer programs form collision avoidance and traffic keeping, Conference on mathematical aspects of marine traffic. London, pp. 229-242
Thomas Statheros 2008. Gareth Howells and Klaus McDonald-Maier, Autonomous Ship Collision Avoidance Navigation Concepts, Technologies and Techniques, The Journal of Navigation, 61: 129–142.
WU Zhao-lin & ZHENG Zhong-yi 2001. Time collision risk and its model, Journal of Dalian Maritime University, 27(2): 1-5
Citation note:
Xu Q.Y., Meng X.Y., Wang N.: Intelligent Evaluation System of Ship Management. TransNav, the International Journal on Marine Navigation and Safety of Sea Transportation, Vol. 4, No. 4, pp. 479-482, 2010
Other publications of authors:
File downloaded 1365 times
