Noise Abatement Trajectories for a UAV Delivery Fleet

Geoffrey Scozzaro (1) , Daniel Delahaye (1) , Adan Ernesto Vela (2)

1 ENAC - Ecole Nationale de l'Aviation Civile
2 UCF - University of Central Florida [Orlando]

The use of unmanned aerial vehicles (UAV) for package delivery is one potential solution for resolving the last-mile delivery problem. And despite their potential benefits, UAV delivery fleets are concerning to communities due to their potential noise impact. In response to noise concerns this paper seeks to reduce impact of a UAV delivery-fleet on communities by generating an optimized set of noise-conscience trajectories. Through simulation, we demonstrate that by optimizing flight trajectories it is possible to significantly limit their overall impact to communities with only a marginal increase in energy/fuel costs.

Mots clés: UAVs; Trajectories; Simulated annealing; Noise

Domaines: Mathématiques [math]; Optimisation et contrôle [math.OC]

Geoffrey Scozzaro, Daniel Delahaye, Adan Ernesto Vela. Noise Abatement Trajectories for a UAV Delivery Fleet. SID 2019, 9th SESAR Innovation Days, Dec 2019, Athenes, Greece. ⟨hal-02388280v3⟩