Analysis and Modeling of Position Choice Process for Transportation of the Sufferer on the basis of Bayesian Belief Networks

Abstract

The purpose of any rescue and other emergency operations is to save people and assist to sufferers, to localize accidents and eliminate the damage hindering rescue operations, as well as to create conditions for the subsequent recovery works. In the presence of factors that menace life and health of the people carrying out these works (rescuers, firefighters, etc.) there is an objective need for application of the automated robotic means of transportation of a sufferer. A lack of the corresponding methodological and program- algorithmic tools causes a need to model specified means. A model of a transportation position of the sufferer on the basis of Bayesian belief networks is presented in the paper.