Unmanned aerial vehicles (UAVs) have become common in civil and defense environments. Due to growing accident rates relative to human flight operations. The demand for qualified UAV operators is increasing as well as clear and standard legislation. Many factors have a severe impact on the availability and usability of UAVs. A well-known method for assessing the risk of accidents causation is the Human Factors Analysis and Classification System (HFACS), which breaks down the causes of accidents into four main categories: (i) organizational influences, (ii) supervision, (iii) preconditions, and (iv) acts. In this study, a unique approach that combines the HFACS model with an analytical hierarchal process (AHP) decision-making model is presented. A questionnaire has been created for this study’s investigation of the crucial aspects of accidents as seen by UAV operators.


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    Title :

    Analysis of Human Factors Analysis and Classification System (HFACS) of UAV Operators


    Contributors:


    Publication date :

    2022-11-24


    Size :

    6575863 byte




    Type of media :

    Conference paper


    Type of material :

    Electronic Resource


    Language :

    English




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