Title :
A research on AIS-based embedded system for ship collision avoidance
Author :
Dejun Chen ; Xuechao Wan ; Chu Dai ; Junmin Mou
Author_Institution :
Hubei Inland Shipping Technol. Key Lab., Wuhan, China
Abstract :
This paper uses the data provided by AIS as the sources of information and combines the actual needs for ship collision avoidance perception. Considering the major factor for ship collision impact, a mathematical model of risk evaluation is established for embedded system, and a new design of AIS-based embedded system for ship collision avoidance is proposed. By utilizing an ARM platform, the system has realized many decision support functions, such as intelligent analysis, forewarning prompt, operation suggestion, and data backtracking, displaying and human-computer interaction. The results shows that the system can satisfy the demand of auxiliary decision support for ship collision avoidance operation.
Keywords :
collision avoidance; decision support systems; embedded systems; human computer interaction; ships; AIS-based embedded system; ARM platform; auxiliary decision support; data backtracking; decision support function; forewarning prompt; human-computer interaction; intelligent analysis; mathematical model; operation suggestion; risk evaluation; ship collision avoidance operation; ship collision avoidance perception; ship collision impact; Azimuth; Collision avoidance; Embedded systems; Marine vehicles; Navigation; Safety; Transportation; AIS; collision risk index; decision support; embedded system; ship collision avoidance;
Conference_Titel :
Transportation Information and Safety (ICTIS), 2015 International Conference on
Conference_Location :
Wuhan
Print_ISBN :
978-1-4799-8693-4
DOI :
10.1109/ICTIS.2015.7232141