METHODOLOGY FOR CREATING A HIGH WORKLOAD SIMULATION EXERCISE FOR AIR TRAFFIC CONTROLLERS

The current article deals with the creation of a simulation exercise intended to train air traffic controllers at an unnamed airport. Simulation exercises enable air traffic controllers to practice possible scenarios that may occur in reality and to practice and improve previously acquired skills. Simulation exercises can be designed based on tasks that the manager has to attempt or complete. Air traffic controller training is usually designed so that their workload is gradually increased up to the highest adjustable threshold. It is important that each controller can handle the set number of aircraft declared by the airport operator and be trained for the possible maximum load that may occur. Air traffic control centers, thus, pay attention to the creation of simulations to induce a high workload for controllers. The goal is to present a methodology for the efficient and quick creation of simulation exercises with the possibility of evaluating their difficulty and creating an exercise that will put the air traffic controller under a high level of stress. Empirical measurements of the composition of aircraft types in the TMA for a specified period and measurements of the duration of individual tasks performed by air traffic controllers to control traffic were taken to indicate the number of possible variants for the creation of exercises. A proposal for exercises for the overload of air traffic controllers was also created.

Authors

Publication Details

Journal
Transport Problems
Published
2024-09-30
DOI
https://doi.org/10.20858/tp.2023.19.3.11
Citations
1
Primary Topic
Air Traffic Management and Optimization
Type
article
Field-Weighted Citation Impact
1.30
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

METHODOLOGY FOR CREATING A HIGH WORKLOAD SIMULATION EXERCISE FOR AIR TRAFFIC CONTROLLERS

Tomáš Hoika, Zbyšek Korecki
1 citations
Transport Problems
Air Traffic Management and Optimization
1.30
article

METHODOLOGY FOR CREATING A HIGH WORKLOAD SIMULATION EXERCISE FOR AIR TRAFFIC CONTROLLERS

Tomáš Hoika, Zbyšek Korecki
article en
1 citations

Abstract

The current article deals with the creation of a simulation exercise intended to train air traffic controllers at an unnamed airport. Simulation exercises enable air traffic controllers to practice possible scenarios that may occur in reality and to practice and improve previously acquired skills. Simulation exercises can be designed based on tasks that the manager has to attempt or complete. Air traffic controller training is usually designed so that their workload is gradually increased up to the highest adjustable threshold. It is important that each controller can handle the set number of aircraft declared by the airport operator and be trained for the possible maximum load that may occur. Air traffic control centers, thus, pay attention to the creation of simulations to induce a high workload for controllers. The goal is to present a methodology for the efficient and quick creation of simulation exercises with the possibility of evaluating their difficulty and creating an exercise that will put the air traffic controller under a high level of stress. Empirical measurements of the composition of aircraft types in the TMA for a specified period and measurements of the duration of individual tasks performed by air traffic controllers to control traffic were taken to indicate the number of possible variants for the creation of exercises. A proposal for exercises for the overload of air traffic controllers was also created.

Transport ProblemsVol. 19(3)
Openalex Percentile: Top 11%
Air Traffic Management and Optimization
1.30
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.