Investigation of Aircraft Conflict Resolution Trajectories under Uncertainties

Area of Science:

• Aerospace Engineering
• Control Theory
• Operations Research

Background:

• Increasing air traffic intensity necessitates more efficient flight trajectories.
• Stochastic uncertainties like wind significantly impact air traffic control workload and flight paths.
• Airlines face pressure to reduce costs through direct flight trajectories, increasing conflict risks.

Purpose of the Study:

• To propose and analyze a novel mathematical model for two-aircraft conflict resolution.
• To integrate Dubins' method into a dynamic conflict scenario for aircraft trajectory planning.
• To address the challenge of stochastic wind uncertainties in conflict detection and resolution.

Main Methods:

• Development of a new mathematical model for conflict resolution.
• Application of Dubins' method to model aircraft trajectories as tangential lines to moving circles.
• Incorporation of stochastic wind uncertainty (direction and speed) into the conflict detection and resolution (CDR) model.

Main Results:

• The proposed model effectively handles dynamic conflict scenarios between two aircraft.
• The model demonstrates the capability to manage inconstant wind conditions during simulations.
• Successful integration of Dubins' method for safer and more rational flight paths under uncertainty.

Conclusions:

• The developed CDR model offers a viable solution for enhancing air traffic safety amidst increasing complexity.
• Dubins' method, when applied dynamically with wind uncertainty, provides a robust approach to aircraft conflict resolution.
• This research contributes to safer and more efficient air traffic management systems.