More and more attention has been directed to the vessel traffic safety, especially in the sensitive area such as in the vicinity of big dams. Since the uncertainty of the vessel traffic risk, the traditional way in analysis is inadequate. This paper introduces a novel method, a Bayesian MCMC approach to study the safety of vessel traffic. By learning the vessel traffic accidents and in-depth investigating the contributors, an effective Bayesian Network has been developed. The results show the method can be used for decision support in vessel traffic management.
A Bayesian MCMC Approach to Study the Safety of Vessel Traffic
First International Conference on Transportation Information and Safety (ICTIS) ; 2011 ; Wuhan, China
ICTIS 2011 ; 1838-1847
2011-06-16
Conference paper
Electronic Resource
English
A MCMC Approach for Bayesian Super-Resolution Image Reconstruction
British Library Conference Proceedings | 2005
|MCMC-Particle-based group tracking of space objects within Bayesian framework
Online Contents | 2014
|Shanghai: Vessel Traffic System enhances ship safety
Online Contents | 1995