Multi-Agent Systems for Air Traffic Conflicts Resolution by Using a Causal Analysis of Spatio-Temporal Interdependencies

摘要

Current Air Traffic Management research programs (i.e. Single European Sky ATM Research (SESAR), next generation air transportation system (NextGen)), try to overcome airside capacity shortages while improving cost-efficient operations and safety. An increment in the airspace traffic density can lead to congested traffic scenarios for which it becomes necessary to develop new safety procedures to tackle air traffic complexity. This paper presents an innovative conflict resolution system that mitigates present airside latent capacity by a cooperative resolution mechanism in which a negotiation between aircraft-agents deals with conflict free resolution trajectories. A causal analysis using Colored Petri Net (CPN) formalism is presented as a key approach to analyze the state space of a congested traffic scenario to avoid emergent dynamics and downstream negative effects on the surrounding traffic.