Dynamic Collision Avoidance using Local Cooperative Airplanes Decisions

As published in CEAS Aeronautical Journal : https://link.springer.com/article/10.1007/s13272-019-00400-6International audienceAir Traffic Control (ATC) of the future will have to cope with a radical change in the structure of air transport [1]. Apart from the increase in the traffic that will push the system to its limits, the insertion of new aerial vehicles such as drones into the airspace with different flight performances will increase the heterogeneity level. Today's research works aim at increasing the level of automation and partial delegation of the control to onboard systems. In this work, we investigate the collision avoidance management problem using a decentralized distributed approach. We propose an autonomous and generic multi-agent system to address this complex problem. We validate our system using state of the art benchmarks. The obtained results underline the adequacy of our local and cooperative approach to efficiently solve the studied problem