Abstract

The study of three-dimensional ship domain may significantly benefit the vessels traffic service in ports waters and other restricted waterways. With the rapid development and increasing flourish of maritime transportation, the vessels traffic service by manual power may be too challengeable to handle the complex traffic situation in ports waters. This paper referenced some study on ship domain in the area of marine traffic engineering, then summarised the structure of ship domain and the learning ability of Intelligent Algorithm. A dynamic three-dimensional ship domain was constructed by inputting ship’s dynamic, static and environment information aiming at several influence factors in the system of “ship-environment-management”. The BP neural network was applied to make the three-dimensional ship domain dynamic by automatically change the dimension of ship domain basing on the inputting ship information. A calculating example which collected required vessels’ information in one VTS centre was shown to verify the reliability and practicability of this three-dimensional ship domain model.

Full Text
Published version (Free)

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 call