Aircraft sequencing and scheduling in TMAs under wind direction uncertainties

Cecen R., Cetek C., Kaya O.

AERONAUTICAL JOURNAL, vol.124, no.1282, pp.1896-1912, 2020 (SCI-Expanded) identifier identifier

  • Publication Type: Article / Article
  • Volume: 124 Issue: 1282
  • Publication Date: 2020
  • Doi Number: 10.1017/aer.2020.68
  • Journal Indexes: Science Citation Index Expanded (SCI-EXPANDED), Social Sciences Citation Index (SSCI), Scopus, Applied Science & Technology Source, Compendex, Computer & Applied Sciences, INSPEC
  • Page Numbers: pp.1896-1912
  • Keywords: Aircraft sequencing and scheduling problem, stochastic programming, mixed-integer linear programming, TMA management, simulated annealing, wind direction uncertainty, GENETIC ALGORITHM, RUNWAY, ARRIVAL, METAHEURISTICS
  • Anadolu University Affiliated: Yes


Aircraft sequencing and scheduling within terminal airspaces has become more complicated due to increased air traffic demand and airspace complexity. A stochastic mixed-integer linear programming model is proposed to handle aircraft sequencing and scheduling problems using the simulated annealing algorithm. The proposed model allows for proper aircraft sequencing considering wind direction uncertainties, which are critical in the decision-making process. The proposed model aims to minimise total aircraft delay for a runway airport serving mixed operations. To test the stochastic model, an appropriate number of scenarios were generated for different air traffic demand rates. The results indicate that the stochastic model reduces the total aircraft delay considerably when compared with the deterministic approach.