ISSN 2083-6473
ISSN 2083-6481 (electronic version)




Associate Editor
Prof. Tomasz Neumann

Published by
TransNav, Faculty of Navigation
Gdynia Maritime University
3, John Paul II Avenue
81-345 Gdynia, POLAND
www http://www.transnav.eu
e-mail transnav@umg.edu.pl
Use of a Multiple Regression Model to Determine the Parameters of Vessel Traffic Flow in Port Areas
ABSTRACT: The paper presents the method of determining ships traffic stream parameters by means of regression method. The aim of the studies was to determine the correlation between the ship's parameters and the parameters of the fairway. Developing the presented model with information on the position of the vessel's antenna and information on the accuracy of position determination will allow creating a model for predicting the parameters of waterways.
Gucma L. (2005), Modelowanie czynników ryzyka zderzenia jednostek pływających z konstrukcjami portowymi i pełnomorskimi. Wydawnictwo Naukowe Akademii Morskiej w Szczecinie.
Li, Wei- Feng; Mei, Bin; Shi, Guo-You (2018): Automatic recognition of marine traffic flow regions based on Kernel Density Estimation. Journal of Marine Science and Technology 26, pp. 84–91.
Stanisz A. (2007), Przystępny kurs statystyki. Statsoft Polska, Kraków 2007 r.
Zhang, Ze-guo; Yin, Jian-chuan; Wang, Ni-ni; Hui, Zi-gang (2018): Vessel traffic flow analysis and prediction by an improved PSO-BP mechanism based on AIS data. in: Evolving Systems (2018). https://doi.org/10.1007/s12530-018-9243-y. - doi:10.1007/s12530-018-9243-y
Citation note:
Nowy A., Gucma L.: Use of a Multiple Regression Model to Determine the Parameters of Vessel Traffic Flow in Port Areas. TransNav, the International Journal on Marine Navigation and Safety of Sea Transportation, Vol. 14, No. 2, doi:10.12716/1001.14.02.23, pp. 443-449, 2020

Other publications of authors:

A. Weintrit, R. Wawruch, C. Specht, L. Gucma, Z. Pietrzykowski
M. Perkovic, E. Twrdy, M. Batista, S. Jankowski, L. Gucma

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