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Traffic Management in Advanced Aerial Mobility (AAM) inherits many elementsof conventional Air Traffic Management (ATM), but brings new complexities andchallenges of its own. One of its ways of guaranteeing separation is the use ofairborne, stand-alone Detect-And-Avoid, an operational concept where eachaircraft decides its avoidance maneuvers independently, observing right-of-wayrules and, in specific implementations, some form of pairwise coordination.This is a fundamental safety element for autonomous aircraft but, according toour research, is not sufficient for high-density airspaces as envisioned forurban environments. In these environments, some way of explicit and strategictraffic coordination must be in place, as done for conventional ATM. Forefficiency reasons, ATM is evolving to more flexible uses of the airspace, suchthat the use of dynamically allocated corridors is a rising concept for AAM.These strategic forms of traffic coordination are potentially highly efficientif the aircraft adhere to their trajectory contracts and there are nosignificant perturbations to the traffic. However, if significant perturbationsoccur, such as loss of data communication, or the sudden appearance of anintruder, a centralized system may not react appropriately in due time. In busyscenarios, even small deviations from plans may compound so rapidly as toresult in large differences in the overall achieved scenario, resulting incongestions and convoluted conflicts. Therefore, it is worth studying trafficcoordination techniques that work locally with shorter look-ahead times. Tothat end, we explore an airborne collaborative method for traffic coordination,which is capable of safely solving conflicts with multiple aircraft, stressingits capabilities throughout a large number of scenarios and comparing itsperformance with established methods.

Comparing the Performance of Traffic Coordination Methods for Advanced Aerial Mobility