Prediction of manually controlled vessels' position and course navigating in narrow waterways using Artificial Neural Networks

Simsir U., Ertugrul S.

APPLIED SOFT COMPUTING, vol.9, no.4, pp.1217-1224, 2009 (Journal Indexed in SCI) identifier identifier

  • Publication Type: Article / Article
  • Volume: 9 Issue: 4
  • Publication Date: 2009
  • Doi Number: 10.1016/j.asoc.2009.03.002
  • Title of Journal : APPLIED SOFT COMPUTING
  • Page Numbers: pp.1217-1224

Abstract

Despite modern navigation devices, there are still some problems for navigating of vessels in narrow waterways because of geographical structures and various disturbances. In this study, a guidance and an early warning method by means of predicting three-minute-ahead position of a vessel, especially in the turning points, has been developed for navigating in narrow waterways. The Istanbul Strait has been specifically studied as a model. Since operators in Vessel Traffic Services (VTS) can watch only straight bearing of vessels on VTS panels but especially for turning regions, they have to foresee a risk on time which may result in a disaster. The objective of this study is to predict the future coordinates of a manually controlled vessel using Artificial Neural Networks (ANN).