When conducting unmanned aerial vehicle (UAV) test flights, the air traffic controller constantly monitors their performance, taking into account the state and trends of the environment and the technical parameters of test flights UAVs are performing. This person is the responsible one who makes decisions in the context of these tasks (decision-maker, DM). One of the tasks is to make a timely and reasonable decision on whether to perform an immediate landing of a UAV in the presence of adverse factors or to continue the test flight. The article describes the building process and the result as a possible version of the decision support system (DSS) based on the Bayesian network of influence. The Bayesian network of influence is described as a variant of the Bayesian network of trust, which uses nodes that simulate DM solutions and possible loss of working time in the event of UAV recovery after a possible accident. The simulation results revealed a synergy effect in the event of simultaneous action of several adverse test factors, in which the total negative effect of these factors is higher than the sum of the effects in the case where each factor acts alone. The practical results of research which can be used in simple cases are revealed. However, the article concludes that the effective operation of the proposed DSS is possible only in a fully functional environment of probabilistic modeling.


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    Title :

    Decision Support with Bayesian Influence Network During UAV Flight Control


    Additional title:

    Lect. Notes in Networks, Syst.



    Conference:

    International scientific-practical conference ; 2021 ; Chernihiv, Ukraine June 28, 2021 - July 01, 2021



    Publication date :

    2022-02-23


    Size :

    13 pages





    Type of media :

    Article/Chapter (Book)


    Type of material :

    Electronic Resource


    Language :

    English




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