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The paper analyses the performance of an Automatic Vessel Identification System on Medium Frequency (AVISOMEF), which works with the Grid Method (GM) on high density maritime European routes using real data and uniformly distributed data. Compared to other systems, AVISOMEF is a novelty, as it is not a satellite system, nor is it limited by a given coverage distance, in contrast to the Automatic Identification System (AIS), though in exceptional circumstances it leans towards it. To perform the analysis, special simulation software was developed. Moreover, a number of maritime routes along with their traffic density data were selected for the study. For each route, two simulations were performed, the first of which based on the uniform traffic distribution along the route, while the second one made use of real AIS data positioning of vessels sailing on the selected routes. The obtained results for both simulations made the basis for formulating conclusions regarding the capacity of selected routes to support AVISOMEF
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Tom
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Opis fizyczny
p.18-26,fig.,ref.
Twórcy
autor
- Catholic University of Ávila UCAV, Spain
autor
- Catholic University of Ávila UCAV, Spain
autor
- University of Cantabria UC, Spain
autor
- ICAI, Pontifical Comillas University, Spain
autor
- University of Salamanca, Spain
autor
- University of Salamanca, Spain
autor
- University of Cantabria UC, Spain
Bibliografia
- 1. A. López, A. Ortega, M. Gutiérrez, F. Blanco, C. Puente, “Automatic identification system of vessels using the grid method”, Journal of Maritime Research, vol. 9, no. 1, pp. 71-76, 2012.
- 2. A. López, “Planteamiento de un nuevo sistema, resultado de la interacción de GMDSS con otros dispositivos”, Academica Española, 2012.
- 3. A. López, M. Gutiérrez, A. Ortega, F. Blanco, M. Graña, “Proposal of a medium frequency offshore grid for identification of vessels sailing in high density maritime Spanish routes”, OCEANS 2011 IEEE - Spain. 2011.
- 4. A. López, M. García, F. Herráez, F. Blanco, “Análisis medioambiental derivado de un control en tiempo real de las rutas marítimas españolas fundamentales”, CONAMA 10 Congreso Nacional del Medio Ambiente, 2010.
- 5. A. López, M. Gutiérrez, F. Herráez, “Constitución de una red marítima en onda media capaz de albergar el tráfico necesario para la identificación de buques que naveguen por rutas canarias”. XVIII Congreso Nacional de Ingeniería Mecánica, 2010.
- 6. M . Gut iér re z , A . L óp e z , A . Mor a le s , V. C a r ro, “A rqu ite c t u r a software para el desarrollo de aplicaciones de control de tráfico marítimo”, 6a Conferência Ibérica de Sistemas e Tecnologias de Informação, 2011.
- 7. M. Gutiérrez, “Aplicación de modelado de un sistema de identificación de buques”, Académica Española, Madrid. 2011,
- 8. M. Gutiérrez , A. López , F. Herráez , C . Puente, S. Zubelzu, “Aplicación para el estudio de implantación de un sistema no satelitario de identificación de buques”, Revista Iberoamericana de Automática e Informática industrial, vol. 9, pp. 244-248, 2012.
- 9. G.K. Høye, T. Eriksen, B.J. Mela nd, B.T. Na rheim, “Space-based AIS for global maritime traffic monitoring”, Acta Astronautica, vol. 62, no. 2-3, pp. 240-245, 2008.
- 10. K. Inoue, H. Usui, K. Hirono, W. Sera, “A ship monitoring system using a communication satellite for maritime safety”, Maritime Security and MET, pp. 205-217, 2005.
- 11. J.L. Larrabel, M.A. Gómez, I. Sotés, F.J. Alvarez, M.C. Rey, V.E. Mielgo, I. Sotes, Basogain, “Vessel condition monitorization through satellite using principal X. component analysis”, Journal of Maritime Research, vol. 7, no. 3, pp. 3-14, 2010.
- 12. R. Hekmat, P. Van Mieghem, “Connectivity in wireless ad-hoc networks with a log-normal radio model”, Mobile Networks and Applications, vol. 11, no. 3, pp. 351-360, 2006.
- 13. I.F. Akyildiz, X. Wang, W. Wang, “Wireless mesh networks: A survey”, Computer Networks, vol. 47, no. 4, pp. 445-487, 2005.
- 14. Y. Ge, P. Kong, C. Tham, J.S. Pathmasuntharam, “Connectivity and route analysis for a maritime communication network”, 6th International Conference on Information, Communications and Signal Processing, ICICS, 2007.
- 15. A. López, “La medida del tiempo. Un aliado para conseguir una relación más sostenible entre el tráfico marítimo, el medio ambiente y la economía”, IX Congreso Nacional del Medio Ambiente (CONAMA IX), pp. 978, 2009.
- 16. P. Santi, D.M. Blough, “The critical transmitting range for connectivity in sparse wireless ad hoc networks”, IEEE Tra nsact ions on Mobi le Comput ing, vol. 2 , no. 1, pp. 25-39, 2003.
- 17. D. Patraiko, “The Development of e-Navigation”, International Journal on Marine Navigation and Safety of Sea Transportation, vol. 1, no. 3, pp. 257-260, 2007.
- 18. United States Coast Guard, “Amver Density Plot Display”. Available: http://www.amver.com/Reports/DensityPlots. 2017, May, 15.
- 19. United Nations, Statistical Division 2000, “Handbook on Geographic Information Systems and Digital Mapping”. Homepage of United Nations Publications, On line. Ava i lable: ht t p://u nst at s.u n.org /u nsd /publ ic at ion /S er iesF/SeriesF_79E.pdf. 2011, March,15.
- 20. Open Geospatial Consortium (2006), OpenGIS© Web Map Server Implementation Specification. Available: http://www.opengeospatial.org/standards/wms. 2017, May, 15.
- 21. S. Wen, P. Kong, J. Shankar, H. Wang, Y. Ge, C. Ang, “A novel framework to simulate maritime wireless communication networks”, Oceans Conference Record (IEEE), 2007.
Typ dokumentu
Bibliografia
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