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

Yuanqiao Wen, Wei Tao, Zhongyi Sui*, Miquel Angel Piera, Rongxin Song

*Corresponding author for this work

Research output: Contribution to journalArticleResearchpeer-review

3 Citations (Scopus)

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.

Original languageEnglish
Article number111578
Number of pages11
JournalOcean Engineering
Volume257
DOIs
Publication statusPublished - 1 Aug 2022

Keywords

  • Complex network
  • Dynamic model
  • Maritime traffic
  • Ship behavior
  • Social force model
  • Structure entropy

Fingerprint

Dive into the research topics of 'Dynamic model-based method for the analysis of ship behavior in marine traffic situation'. Together they form a unique fingerprint.

Cite this