Intelligent control of air traffic landing sequences

Research output: Contribution to journalArticlepeer-review

1 Citation (Scopus)


Due to a dramatic increase in air traffic around the globe, the tasks for air traffic controllers have increased multifold. This work aims to develop an air traffic control to prioritize landing sequences assigned to planes when, unexpectedly, a large number of planes approach the airfield. Two alternatives are proposed: one is based on rule-based expert system and another on artificial neural networks. The author shows that each of the models helps to optimize the prioritization of overall landing requests, with exception only to a situation of a larger number of emergencies. Further, a combination of these approaches is discussed to show that it does help in minimizing time to handle landing sequences during emergencies.

Original languageEnglish
Pages (from-to)35-42
Number of pages8
JournalInternational Journal of Modelling and Simulation
Issue number1
Publication statusPublished - 2008


  • Air traffic control
  • Expert systems
  • Modelling of landing sequences
  • Neural networks

ASJC Scopus subject areas

  • Modelling and Simulation
  • Mechanics of Materials
  • Hardware and Architecture
  • Industrial and Manufacturing Engineering
  • Electrical and Electronic Engineering


Dive into the research topics of 'Intelligent control of air traffic landing sequences'. Together they form a unique fingerprint.

Cite this