In the future, Air Traffic Control (ATC) will have to cope with a radical change in air traffic. Apart from the probable increase in 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, and utterly different objective – will increase its complexity. Current research aims at increasing the level of automation and/or partial delegation of the control to on-board 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, where mobile entities are agents, that use a finite set of discrete speed vector modifications to follow their trajectories while avoiding separation losses. We validate our system using a state-of-the-art benchmark. The results underline the adequacy of our local and cooperative approach to efficiently solve the studied problem, competing with centralized methods. Additionally, the conducted sensitivity analysis underlines the robustness of our approach regarding some used parameters.

未来，空中交通管制（ATC）将不得不应对空中交通的根本变化。除了可能增加交通量，将系统推向极限，除了在飞行性能和目标完全不同的情况下，将新的无人机（如无人驾驶飞机）插入空域还将增加其复杂性。当前的研究旨在提高自动化水平和/或将控制部分授权给车载系统。在这项工作中，我们使用分散的分布式方法来研究防撞管理问题。我们提出了一个自治且通用的多主体系统来解决这个复杂的问题，其中移动实体是主体，它使用有限的离散速度矢量修改集来遵循它们的轨迹，同时避免了分离损失。我们使用最先进的基准测试来验证我们的系统。结果表明，与集中化方法竞争，我们的本地和合作方法足以有效解决所研究的问题。此外，进行的敏感性分析强调了我们的方法在某些使用参数方面的鲁棒性。