Dynamic model-based method for the analysis of ship behavior in marine traffic situation

Journal article (2022)

Authors

Yuanqiao Wen National Engineering Research Center for Water Transport Safety (WTSC), Wuhan University of Technology
W. Tao Wuhan University of Technology, Transport Engineering and Logistics - Mechanical, Maritime and Materials Engineering
Zhongyi Sui Wuhan University of Technology, Universitat Autònoma de Barcelona
Miquel Angel Piera Universitat Autònoma de Barcelona
R. Song Safety and Security Science - TPM
Research Group
Transport Engineering and Logistics (Mechanical, Maritime and Materials Engineering) (TU Delft)
Copyright: © 2022 Yuanqiao Wen, W. Tao, Zhongyi Sui, Miquel Angel Piera, R. Song
DOI
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https://doi.org/10.1016/j.oceaneng.2022.111578
Dynamic model Complex network Ship behavior Maritime traffic Social force model Structure entropy
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Published Date

2022

Language

English

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Faculty

Mechanical, Maritime and Materials Engineering

Department

Marine and Transport Technology

Research Group

Transport Engineering and Logistics

Abstract

With the continual development of modern transportation technology and artificial intelligence technology, how to recognize the complex phenomenon of ship behavior existing in maritime traffic has become a hot topic. Maritime traffic is a complex system, the emergence of ship behavior is a leading cause of traffic complexity, and make up the core ideas of this research. This research studies ship behavior from three aspects: ship individual behavior, ship-ship interaction and multi-ship behavior. According to the movement state attribute, the improved Social Force Model has been developed by considering of the interactive effects between ships. On that foundation, the complex network model has been built to analyze the emergence of multi-ship behavior in a macroscopic view. Through experimental analysis of ship behavior in different scenarios, the results show that the repulsive force between ships changes in the ship behavior dynamic model can express the dynamic characteristics of the ship. And structural entropy in marine traffic situation complex network has been proved to describe the maritime traffic system. As such, the framework proposed in this paper can provide a new perspective for further understanding and research of ship behavior.