@article{ref1,
title="Aviation operators (pilots, ATCOs) decision-making process",
journal="Aircraft engineering and aerospace technology",
year="2022",
author="Kale, Utku and Alharasees, Omar and Rohács, József and Rohács, Dániel",
volume="95",
number="3",
pages="442-451",
abstract="PURPOSE The purpose of this paper is to investigate and evaluate the subjective decision-making of pilots during final approach with varying degrees of experience for landing and go-around. <br><br>DESIGN/METHODOLOGY/APPROACH In this research, the &quot;Lorenz Attractor&quot; was modified and used to model the subjective decision-making of pilots during the final approach. For landing and go-around situations, &quot;hesitation frequency&quot; and &quot;decision-making time&quot; were calculated for the subjective decision-making of pilots. <br><br>FINDINGS In this research, the modified Chaotic Lorenz Model was used on MATLAB with varying degrees of experience, namely, student pilots, less-skilled pilots, experienced pilots and well-experienced pilots. Based on the outcomes, the less-skilled pilot needs nearly four times more decision-making time on landing or go-around compared to the well-experienced pilot during the final approach. Practical implications Operators (pilots, air traffic controllers) need to make critical and timely decisions in a highly complex work environment, which is influenced by several external elements such as experience level and human factors. According to NASA, 80% of aviation accidents occur due to human errors specifically over the course of the aviation decision-making process in dynamic circumstances. Due to the consequences of this research the operators' training should be redesigned by assisting flight instructors on the weaknesses of pilots. <br><br>ORIGINALITY/VALUE This research explores the endogenous dynamics of the pilot decision-making process by applying a novel &quot;Chaotic Lorenz Model&quot; on MATLAB. In addition, the operator's total decision time formula was improved by including the decision reviewing time and external factors. Moreover, subjective decision-making model created by the current authors and Wicken's information model were modified to the highly automated systems.<p /> <p>Language: en</p>",
language="en",
issn="1748-8842",
doi="10.1108/AEAT-02-2022-0053",
url="http://dx.doi.org/10.1108/AEAT-02-2022-0053"
}