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Title
Vessel classification method based on vessel behavior in the port of Rotterdam

ISSN printed: 1733-8670, ISSN on-line: 2392-0378
Zhou, Yang1; Daamen, Winnie2; Vellinga, Tiedo3; Hoogendoorn, Serge4
URI: http://repository.scientific-journals.eu/handle/123456789/756
2015-06-10
behavior. The analysis of AIS data provides a possibility to recognize vessel behavior patterns in a waterway area. Furthermore, AIS data can be used to classify vessel behavior into several categories. The analysis results would help the port authority and other equivalent parties in port design and optimization or marine traffic management. For researchers, it provides a systematic way to understand, simulate and predict vessel behavior. This paper focuses on vessel classification in the Botlek area, Rotterdam from the perspective of vessel behavior. In this paper, the vessel properties, including vessel type, GT (Gross Tonnage), length and beam, have been analyzed to investigate the vessel behavior, which is described by four factors including heading, COG (Course over Ground), SOG (Speed over Ground), and position. In order to discover the behavior patterns in normal situations, several thresholds are set in order to filter the collected AIS data to define such situations. By plotting the AIS data, behavioral changes with the changes of properties have been observed. Hence, the correlations between vessel behavior and different vessel properties are investigated. The results reveal that a vessel’s sailing position and COG are both strongly determined by beam, while SOG is affected by GT. For the heading of a vessel, no obvious correlation with any vessel property is found. Each behavioral factor is clustered according to the correlated vessel property. This way, the criteria to classify the vessels are determined. The vessel classification results based on their behavior would likely to lead to more consistency in the analysis, simulation and prediction of the vessel behavior. The reason is that the development of such a simulation model is based on a systematic recognition of the vessel behavior patterns.
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Title

Vessel classification method based on vessel behavior in the port of Rotterdam

Pages

86-92

Figures

4

Tables

2

ISSN printed

1733-8670

ISSN on-line

2392-0378

DOI

10.17402/024

Type

Original scientific article

Journal

42 Scientific Journals of the Maritime University of Szczecin, no. 42 / 2015

Publisher

Scientific Journals Maritime University of Szczecin, Zeszyty Naukowe Akademia Morska w Szczecinie

Copyright Holder

Scientific Journals Maritime University of Szczecin, Zeszyty Naukowe Akademia Morska w Szczecinie

Published

2015-06-10

Recieved

2015-04-10

Accepted

2015-05-09

Funding

This research is financially supported by China Scholarship Council and Delft University of Technology with the Grant number 201306950015. MARIN is acknowledged for the access and usage of the AIS database.

Keywords

data analysis, AIS, vessel classification, vessel behavior, port, classification method

URI:

http://repository.scientific-journals.eu/handle/123456789/756

Language

English

Authors

Zhou, Yang1; Daamen, Winnie2; Vellinga, Tiedo3; Hoogendoorn, Serge4

Affiliation

1 Delft University of Technology, Faculty of Civil Engineering and Geosciences, Delft, The Netherlands Department of Hydraulic Engineering, y.zhou-5@tudelft.nl
2 Delft University of Technology, Faculty of Civil Engineering and Geosciences, Delft, The Netherlands Department of Transport & Planning, w.daamen@tudelft.nl
3 Delft University of Technology, Faculty of Civil Engineering and Geosciences, Delft, The Netherlands Department of Hydraulic Engineering, t.vellinga@tudelft.nl
4 Delft University of Technology, Faculty of Civil Engineering and Geosciences, Delft, The Netherlands Department of Transport & Planning, s.p.hoogendoorn@tudelft.nl

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