CONCORD: A UAV Conflict Resolution System using Correlated Equilibrium based Decision Making

Abstract

Unmanned Aerial Vehicles (UAVs) are in demand for a wide range of applications. A traffic management system similar to the Air Traffic Control (ATC) is necessary to handle these vehicles efficiently. The complexity associated with such a system will increase with the size of airspace and the number of vehicles using it at any given instant of time. The need for collision avoidance among UAVs is quite significant in this context. This paper presents the CONCORD, which is a UAV conflict resolution system that uses the notion of correlated equilibrium. Correlated equilibrium is a popular solution concept in game theory, which improves upon Nash equilibrium solution and gives better expected payoff to every player. In this work, an intelligent semi-autonomous conflict resolution subsystem is proposed which could be a part of UAV traffic management system that can handle multiple UAV conflicts effectively.