Air Traffic Management
Overview
Air Traffic Management studies how to coordinate aircraft and airspace so traffic moves safely and efficiently, from airport surfaces and terminal areas to en-route sectors and urban air mobility corridors. Approaches include trajectory and flow prediction, optimization with mixed-integer or declarative programming, game-theoretic coordination, and multi-agent reinforcement learning, using data such as surveillance tracks, weather, and controller communications. Applications range from conflict resolution and delay forecasting to sector capacity planning, controller training, and safety monitoring. A central challenge is balancing safety, throughput, fairness, noise, and energy under uncertainty while keeping automated recommendations reliable, interpretable, and compatible with human control.
Latest papers
37 papers2 papers in the last four weeks, down 50% on the four weeks before. 0.0% of all new papers.