ATC Automation Based on Dynamic Aircraft Separation Techniques Accounting for Weather Conditions

Air Traffic Management is becoming increasingly complex due to the continuous growth in air traffic demand and the variability of weather conditions. Traditional aircraft separation standards rely on fixed minimum distances that do not dynamically adapt to environmental factors. This study proposes a novel framework for dynamic aircraft separation that integrates real-time weather data into Air Traffic Control (ATC) automation systems. The proposed model adjusts separation distances based on meteorological parameters such as wind speed, turbulence intensity, and visibility. A multi-objective optimization approach is developed to minimize conflict risk while maximizing airspace capacity. Simulation results demonstrate that the proposed framework improves safety and operational efficiency compared to conventional methods. This study contributes to the advancement of intelligent air traffic management systems.

@article{Raziq2026,
  title     = {ATC Automation Based on Dynamic Aircraft Separation Techniques Accounting for Weather Conditions},
  journal   = {International Journal of Advanced Computer Science and Applications},
  volume    = {17},
  number    = {6},
  year      = {2026},
  publisher = {The Science and Information Organization},
  author    = {Omayma Raziq and Mohamed El Khaili and Hasna Nhaila and Azeddine Khiat},
  doi       = {10.14569/IJACSA.2026.0170629},
  url       = {https://doi.org/10.14569/IJACSA.2026.0170629}
}