Analyzing Air Traffic Control System Reliability with Markov Process Methods

Abstract

This paper concludes the mathematical models of the Markov process to examine the reliability of Air Traffic Control (ATC) systems. The safety and effectiveness of air travel depend significantly on reliability of ATC systems, making it necessary to evaluate & enhance their performance using robust analytical techniques. We use continuous-time Markov chains to model the different operational, failure states and degrade state. We analyse Markov process alongside various component failures and repairs of the ATC that may occur during its operation. To assess the system's performance, we calculate reliability and mean time to failure (MTTF). Sensitivity analysis is used to identify the critical components of the ATC.