Modeling of the Collaborative Decision Making by Remote Pilot and Air Traffic Controller in Flight Emergencies

Abstract

In this article deterministic, stochastic, uncertain and neural network models of the collaborative decision making (CDM) by unmanned aerial vehicle's remote pilot and air traffic controller during flight emergencies for maximum synchronization of operators' technological procedures are presented. The methodological basis for CDM in conditions of certainty is a network planning, in conditions of stochastic uncertainty - is a decision tree, in conditions of non-stochastic uncertainty - is a matrix of decisions. For risk assessment of CDM, Multilayer Perceptron Network with the additional inputs Bias, that characterizing the interaction of operators, is developed. Examples of CDM in flight emergency “Engine failure and fire on unmanned aerial vehicles during climbing after take-off” are given.