Aircraft sequencing and scheduling in TMAs under wind direction uncertainties

Cecen R. K., Cetek C., Kaya O.

AERONAUTICAL JOURNAL, cilt.124, sa.1282, ss.1896-1912, 2020 (SCI-Expanded) identifier identifier

  • Yayın Türü: Makale / Tam Makale
  • Cilt numarası: 124 Sayı: 1282
  • Basım Tarihi: 2020
  • Doi Numarası: 10.1017/aer.2020.68
  • Dergi Adı: AERONAUTICAL JOURNAL
  • Derginin Tarandığı İndeksler: Science Citation Index Expanded (SCI-EXPANDED), Scopus, Applied Science & Technology Source, Compendex, Computer & Applied Sciences, INSPEC
  • Sayfa Sayıları: ss.1896-1912
  • Anahtar Kelimeler: Aircraft sequencing and scheduling problem, stochastic programming, mixed-integer linear programming, TMA management, simulated annealing, wind direction uncertainty, GENETIC ALGORITHM, RUNWAY, ARRIVAL, METAHEURISTICS
  • Eskişehir Osmangazi Üniversitesi Adresli: Evet

Özet

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.