2022
DOI: 10.3390/sym14122629
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Determination of Air Traffic Complexity Most Influential Parameters Based on Machine Learning Models

Abstract: Today, aircraft demand is exceeding the capacity of the Air Traffic Control (ATC) system. As a result, airspace is becoming a very complex environment to control. The complexity of airspace is thus closely related to the workload of controllers and is a topic of great interest. The major concern is that variables that are related to complexity are currently recognised, but there is still a debate about how to define complexity. This paper attempts to define which variables determine airspace complexity. To do … Show more

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Cited by 6 publications
(9 citation statements)
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“…The indicator will be influenced by traffic density, but also by more variables of both the flights and the sector's own structural variables, since, according to [13], Air Traffic Complexity is based on traffic behaviour, but also on the structural aspects of the ATC sectors. Within these four initial fields, different variables, obtained after the analysis of [3] and [9], are considered and presented in Table 1. From these variables, the values of the variables and the variability coefficients (Eq.…”
Section: Complexity Indicatormentioning
confidence: 99%
See 4 more Smart Citations
“…The indicator will be influenced by traffic density, but also by more variables of both the flights and the sector's own structural variables, since, according to [13], Air Traffic Complexity is based on traffic behaviour, but also on the structural aspects of the ATC sectors. Within these four initial fields, different variables, obtained after the analysis of [3] and [9], are considered and presented in Table 1. From these variables, the values of the variables and the variability coefficients (Eq.…”
Section: Complexity Indicatormentioning
confidence: 99%
“…This combination is done by a weighted sum of the variables. The relative weights of this weighted sum have been obtained after performing a machine learning model following the indications of [9].…”
Section: 𝐶 𝑉 = 𝜎/𝜇mentioning
confidence: 99%
See 3 more Smart Citations