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.
Highlights
IntroductionThe ship domain is an important concept of water transportation, which was defined in 1975 by Goodwin [1]
The reasonableness and superiority of establishing a ship domain model considering the factors affecting both one’s own ship and other ships are analyzed in Reference [5]
An online identification approach for ship domain model based on AIS data confined waters, and the size of the ship domains was assumed to be dynamically enlarged with increased ship speeds
Summary
The ship domain is an important concept of water transportation, which was defined in 1975 by Goodwin [1]. An online identification approach for ship domain model based on AIS data confined waters, and the size of the ship domains was assumed to be dynamically enlarged with increased ship speeds. Considering the navigation characteristics of ships with limited maneuvering capability and the influence of ships on the ship effect, an algorithm to determine the boundary of the ship domain model is proposed, and experiments are carried out using AIS trajectory data in Reference [13]. The main work of this paper is as follows: The idea of generating ship domains online is proposed to provide a reference for the dynamic application of AIS data in navigation safety decision making. The rest of this paper is organized as follows: Section 2 introduces the ship domain model to be identified, considers the data required for model identification using AIS, and describes the corresponding ship-encounter parameter calculation formula. Considering that the identification model is nonlinear, to improve the accuracy and efficiency of identification, this paper adopts the collision risk weighted least square method to carry out online identification
Sign-in/Register to view highlights & summary Sign-in/Register to access full text options 
Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
Schedule a callDisclaimer: All third-party content on this website/platform is and will remain the property of their respective owners and is provided on "as is" basis without any warranties, express or implied. Use of third-party content does not indicate any affiliation, sponsorship with or endorsement by them. Any references to third-party content is to identify the corresponding services and shall be considered fair use under The CopyrightLaw.
