A Tactical Conflict Resolution Proposal for U-Space Zu Airspace Volumes

Area of Science:

• Aerospace Engineering
• Robotics
• Computer Science

Background:

• Urban Air Mobility (UAM) requires robust conflict management for Unmanned Aerial Vehicles (UAVs).
• Tactical conflict management during flight is crucial for safe UAM operations within frameworks like U-Space.

Purpose of the Study:

• To present Prediction-based Conflict-free Adaptive Navigation (PCAN), a novel technique for UAV conflict avoidance.
• To evaluate the effectiveness and efficiency of PCAN in dynamic, high-density aerial environments.

Main Methods:

• PCAN predicts potential conflicts between UAVs in real-time.
• It adaptively modifies UAV velocity vectors to ensure collision-free trajectories.
• Performance is assessed through simulations comparing PCAN to existing methods.

Main Results:

• PCAN demonstrates high effectiveness in preventing conflicts, even in dense UAV scenarios.
• The technique shows low overhead in terms of flight time and traveled distance.
• Its performance is comparable or superior to similar conflict management strategies.

Conclusions:

• PCAN is a viable and efficient solution for tactical conflict management in UAM.
• The method offers a practical approach to ensuring safety and efficiency in future aerial mobility systems.