Impact of Spatial Proximity on Drone Services
🤖 AI Summary
This study systematically investigates the pairwise impact of spatial proximity among drones during close-proximity flight on their energy consumption, with the aim of optimizing low-altitude logistics route planning. Through three-dimensional real-flight experiments conducted under varying wind conditions, high-fidelity energy consumption data were precisely collected across multiple drone segments. These data were integrated with high-precision spatial positioning and a customized graphical user interface to enable visualization of flight trajectories and inter-drone interactions. The work presents the first quantitative analysis of the coupled effects of inter-drone spacing, relative positioning, and wind conditions on energy use, uncovering key influence patterns that provide empirical foundations and optimization insights for designing efficient, energy-saving drone delivery systems.
Application Category
📝 Abstract
We demonstrate the peer-to-peer impact of drones flying in close proximity. Understanding these impacts is crucial for planning efficient drone delivery services. In this regard, we conducted a set of experiments using drones at varying positions in a 3D space under different wind conditions. We collected data on drone energy consumption traveling in a skyway segment. We developed a Graphical User Interface (GUI) that plots drone trajectories within a segment. The GUI facilitates analyzing the peer-to-peer influence of drones on their energy consumption. The analysis includes drones' positions, distance of separation, and wind impact.
Problem
Research questions and friction points this paper is trying to address.
drone services
spatial proximity
energy consumption
peer-to-peer impact
3D trajectory
Innovation
Methods, ideas, or system contributions that make the work stand out.
drone proximity
energy consumption
3D spatial analysis
wind impact
GUI-based trajectory visualization
🔎 Similar Papers
No similar papers found.
