Decentralized Free-Flow Traffic Management Based on Nash Equilibrium

Abstract

This study introduces a decentralized traffic management algorithm for free-flowing aerial vehicles without explicit communications. The algorithm based on the concept of Nash equilibrium works to improve air traffic management efficiency while considering the different urgency levels of agents, such as unmanned aerial vehicles. An algorithm for a relatively simple two-agent case was developed first. Then, we extended the algorithm to a more general algorithm involving many agents. Numerical experiments comparing the performance of the proposed algorithm with the baseline adopted in current practice were conducted to demonstrate the effectiveness of the new approach.