Applying Airspace Capacity Estimation Models to the Airspace of Hungary

Authors

  • Bence Számel
    Affiliation

    Budapest University of Technology and Economics

  • István Mudra
    Affiliation

    Budapest University of Technology and Economics

  • Géza Szabó
    Affiliation

    Budapest University of Technology and Economics

https://doi.org/10.3311/PPtr.7512

Abstract

Estimation of airspace capacity in order to keep air traffic controller workload at an optimal level is essential for the safety of air traffic. In the past, several different methods were developed for airspace capacity estimation with different benefits and drawbacks. In our research we studied the applicability of one of these methods (based on a neural network model) in the airspace of Hungary. This paper presents a possible way of gathering and processing data and validating the results given by the model.

Keywords:

airspace capacity; air traffic complexity; controller workload; neural network

Published Online

2015-01-13

How to Cite

Számel, B., Mudra, I., Szabó, G. (2015) “Applying Airspace Capacity Estimation Models to the Airspace of Hungary”, Periodica Polytechnica Transportation Engineering, 43(3), pp. 120–128. https://doi.org/10.3311/PPtr.7512

Issue

Section

Articles