An online identification approach for ship domain model based on AIS data

Abstract

As an important basis of navigation safety decisions, ship domains have always been a pilot concern. In the past, model parameters were usually obtained from statistics of massive historical cumulative data, but the results were mostly historical analysis and static data, which obviously could not meet the needs of pilots who wish to master the ship domain in real time. To obtain and update the ship domain parameter online in time and meet the real-time needs of maritime applications, this paper obtains CRI as the weight coefficient-based PSO-LSSVM method and proposes to use short-term AIS data accumulation through the risk-weighted least squares method online rolling identification method, which can filter nonhazardous targets and improve the identification accuracy and real-time performance of nonlinear models in the ship domain. The experimental examples show that the method can generate the ship domain dynamically in real time. At the same time, the method can be used to study the dynamic evolution characteristics of the ship domain over the course of navigation, which provides a reference for navigation safety decisions and the analysis of ship navigation behavior.

CIPSO-Based Decision Support Method for Collision Avoidance of Super-Large Vessel in Port Waters

“…CRI is a fuzzy concept that measures the degree of collision risk between vessels. The CRI ∈ [0,1], specifically, CRI = 0 indicates that there is no CR between vessels, and the vessel can continue sailing in its current state; 0 < CRI < 1 indicates that there is a CR between vessels [29]. By setting a safety threshold, it can be divided into several levels, such as "low risk", "moderate risk", and "high risk", and appropriate avoidance operations can be undertaken based on this.…”

Research on Dynamic Quaternion Ship Domain Model in Open Water Based on AIS Data and Navigator State

“…Hörteborn [7] determined through statistical analysis of AIS data that the shape of the ship domain is an ellipse, with semi-axis radii of 0.9 nm and 0.45 nm. Zheng et al [8] dynamically generate ship models based on real-time AIS data and accumulated short data. They use an online recognition method to calculate ship encounter parameters and obtain collision risk as a source of identification data, ensuring accuracy and real-time requirements for ship domain recognition.…”