An online identification approach for ship domain model based on AIS data
Wei Zhou1,2, Jian Zheng3, Yingjie Xiao1,2
1Merchant Marine College, Shanghai Maritime University, Shanghai, China.
Plos One
|March 10, 2022
Summary
This study introduces a new method for real-time ship domain identification using Artificial Intelligence (AI) and short-term Automatic Identification System (AIS) data. This enhances navigation safety by providing dynamic, up-to-date ship domain information for pilots.
Area of Science:
- Maritime Safety
- Navigation Technology
- Artificial Intelligence
Background:
- Traditional ship domain analysis relies on historical data, providing static insights insufficient for real-time navigation.
- Pilots require dynamic, up-to-date ship domain information for effective navigation safety decisions.
- Existing methods struggle to meet the real-time demands of maritime applications.
Purpose of the Study:
- To develop an online, real-time method for obtaining and updating ship domain parameters.
- To improve the accuracy and real-time performance of nonlinear ship domain models.
- To provide a dynamic reference for navigation safety and ship behavior analysis.
Main Methods:
- Utilizing a Particle Swarm Optimization-Least Squares Support Vector Machine (PSO-LSSVM) method with CRI as a weight coefficient.
- Employing online rolling identification with risk-weighted least squares on short-term Automatic Identification System (AIS) data.
- Implementing a filtering mechanism to exclude non-hazardous targets.
Main Results:
- The proposed method successfully generates ship domains dynamically and in real time.
- Improved identification accuracy and real-time performance of nonlinear ship domain models were achieved.
- The method effectively filters non-hazardous targets, enhancing model reliability.
Conclusions:
- The developed method provides a dynamic, real-time approach to ship domain analysis.
- This approach offers valuable insights into the dynamic evolution of ship domains during navigation.
- It serves as a crucial reference for enhancing navigation safety decisions and analyzing ship behavior.
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