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Risk Analysis and Setting Priorities in Air Traffic Control by Using a Matrix of Similarities

Abstract

This article considers how mathematical decision-making in Air Traffic Control could be done in order to minimize the risk of collisions. An example of how to prioritize airplanes which are in the vicinity of an airport according to their level of risk in respect to other airplanes is given by using a matrix of similarities and Euclidean metric. The analysis has shown that it is necessary to classify ATC specialists and ATC centers according to their ability to provide safe enough service using time methods and highly experienced team work.

Open access