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Air Traffic Complexity Model Based on Air Traffic Controller Tasks (CROSBI ID 436683)

Ocjenski rad | doktorska disertacija

Antulov-Fantulin, Bruno Air Traffic Complexity Model Based on Air Traffic Controller Tasks / Juričić, Biljana (mentor); Zagreb, Fakultet prometnih znanosti, . 2020

Podaci o odgovornosti

Antulov-Fantulin, Bruno

Juričić, Biljana

engleski

Air Traffic Complexity Model Based on Air Traffic Controller Tasks

Existing models for determining air traffic complexity that are based on air traffic controllers' subjective assessment are not consistent due to possible deviations in complexity assessment. The aim of this research is to create a mathematical model for air traffic complexity which is based on the air traffic controller tasks. The model will use the data on area radar air traffic controller tasks that are defined according to the traffic situation. Certain air traffic controller tasks, such as a conflict resolution, are perceived as one task, but they actually represent a set of multidimensional tasks that need to be defined precisely in order to be used later in mathematical model. Moreover, the existing models for determining air traffic complexity which use the subjective air traffic controller assessments also include the problem of subjectivity resulting from the learned mode of operation in a given airspace. For the purpose of this research new generic airspace will be created. This research introduces a new approach to design a model for determining air traffic complexity which is based on defining area radar air traffic controller tasks for the given traffic situations. Area radar air traffic controllers will be asked to decide which of the two traffic situations is more complex by using the comparison method. In this way, any inconsistency in subjective assessments will be avoided, since air traffic controllers tend to give the same complexity score for different levels of air traffic complexity. Using machine learning, inputs such as defined air traffic controller tasks and data gained through comparison method, will be used to develop a new mathematical model for determining air traffic complexity. The validation of the model will be carried out by the same comparison method using the traffic situation data on a different airspace.

air traffic complexity ; air traffic controller ; assessment ; workload ; tasks

nije evidentirano

nije evidentirano

nije evidentirano

nije evidentirano

nije evidentirano

nije evidentirano

Podaci o izdanju

356

01.10.2020.

obranjeno

Podaci o ustanovi koja je dodijelila akademski stupanj

Fakultet prometnih znanosti

Zagreb

Povezanost rada

Tehnologija prometa i transport

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