Work

Edge4Drone: Managing Landings and Takeoffs in High-Density Distribution Centers

Year: 2025

Type: conference-paper

Abstract: Managing high-density drone landings and takeoffs in urban aerial delivery systems is a challenging, time-critical operation. To bridge existing gaps, we propose and classify eight edge-based solutions and evaluate their performance through high-density airspace simulations encompassing all flight phases. These solutions extend the previously proposed Drone Edge Management System (DREMS) with static and dynamic dronepad allocation strategies and various control levels, including more dynamic strategies. The results demonstrate that proper sequencing significantly reduces collision rates and enhances dronepad utilization. As a contribution, we underline the importance of giving complete control to DREMS during landings and takeoffs and prioritizing landings in dynamic allocations. These insights increase operational efficiency and safety under high request rates and pave the way for more robust and efficient drone delivery systems, highlighting the potential of intelligent sequencing and adaptive control mechanisms.

Source: Zenodo (CERN European Organization for Nuclear Research)

DOI: 10.5281/zenodo.15052078

Authors: de Paula Soares, Lucas, Kamienski, Carlos, Martins Campos de Oliveira, Fabíola, Bittencourt, Luiz Fernando

Institutions: Universidade Estadual de Campinas (UNICAMP), Universidade Federal do ABC

Language: English

Topic: Air Traffic Management and Optimization

Subfield: Aerospace Engineering

Field: Engineering

Domain: Physical Sciences

SDG: Sustainable cities and communities

Open Access status: green

Funder: Fundação de Amparo à Pesquisa do Estado de São Paulo