2024/03/17 by Josue N. Rivera, Rivera, Josue N., Dengfeng Sun +1
Computer Science · Engineering · #Air Traffic Management and Optimization #FOS: Electrical engineering #Robotic Path Planning Algorithms #Systems and Control (eess.SY) #UAV Applications and Optimization #electronic engineering #information engineering
paper · pdf · doi:10.48550/arxiv.2403.11086
openalex publication_date 2024/03/17 · openalex created_date 2024/03/20 · openalex updated_date 2026/07/28
Aerial cargo transport is anticipated to play a pivotal role in the distribution of goods within urban environments. The shift is propelled by the surge in e-commerce, the imperative to deliver essential supplies to isolated areas, and the growing demand for expedited and more accessible deliveries. Our research introduces a quantifiable standard for defining routing restrictions for Unmanned Aircraft System Traffic Management (UTM) using the concept of repulsive potential fields. Furthermore, we propose a scalable infrastructure that facilitates collaborative routing of cargo Unmanned Aerial Vehicles (UAVs) by independent shareholders. The practicality of the infrastructure is validated through a functional prototype implemented at a national scale.