Dynamic model-based method for the analysis of ship behavior in marine traffic situation. (1st August 2022)
- Record Type:
- Journal Article
- Title:
- Dynamic model-based method for the analysis of ship behavior in marine traffic situation. (1st August 2022)
- Main Title:
- Dynamic model-based method for the analysis of ship behavior in marine traffic situation
- Authors:
- Wen, Yuanqiao
Tao, Wei
Sui, Zhongyi
Piera, Miquel Angel
Song, Rongxin - Abstract:
- 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. Highlights: Social force model and complex network theory are introduced to describe multiscale ship behavior. A research framework for marine traffic situation analysis is proposed and realized the integration of shipAbstract: 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. Highlights: Social force model and complex network theory are introduced to describe multiscale ship behavior. A research framework for marine traffic situation analysis is proposed and realized the integration of ship behavior. Based on the ship behavior dynamic model, ship behavior was analyzed from the perspective of microscopic and macroscopic. … (more)
- Is Part Of:
- Ocean engineering. Volume 257(2022)
- Journal:
- Ocean engineering
- Issue:
- Volume 257(2022)
- Issue Display:
- Volume 257, Issue 2022 (2022)
- Year:
- 2022
- Volume:
- 257
- Issue:
- 2022
- Issue Sort Value:
- 2022-0257-2022-0000
- Page Start:
- Page End:
- Publication Date:
- 2022-08-01
- Subjects:
- Maritime traffic -- Dynamic model -- Ship behavior -- Social force model -- Complex network -- Structure entropy
Ocean engineering -- Periodicals
Ocean engineering
Periodicals
620.4162 - Journal URLs:
- http://www.sciencedirect.com/science/journal/00298018 ↗
http://www.elsevier.com/journals ↗ - DOI:
- 10.1016/j.oceaneng.2022.111578 ↗
- Languages:
- English
- ISSNs:
- 0029-8018
- Deposit Type:
- Legaldeposit
- View Content:
- Available online (eLD content is only available in our Reading Rooms) ↗
- Physical Locations:
- British Library DSC - 6231.280000
British Library DSC - BLDSS-3PM
British Library HMNTS - ELD Digital store - Ingest File:
- 21661.xml