Ko, Woo-Hyun (Texas A&M University), Kumar, P. R. (TAMU)

Probability-Based Collision Detection and Resolution of Planned Trajectories for Unmanned Aircraft System Traffic Management

Scheduled for presentation during the Regular Session "Airspace Management" (ThB4), Thursday, June 13, 2019, 14:30−14:50, Savannah

2020 International Conference on Unmanned Aircraft Systems (ICUAS), June 11-14, 2019, Athens, Greece

This information is tentative and subject to change. Compiled on April 19, 2024

Abstract

We address the problem of traffic management of an unmanned aircraft system. In an effort to improve the performance with safety, we propose a probability-based collision resolution algorithm. The proposed algorithm analyzes the planned trajectories to calculate their collision probabilities, and modifies individual drone starting times to reduce the probability of collision, while attempting to preserve high performance. Our simulation results demonstrate that the proposed algorithm improves the performance of the drone traffic management by guaranteeing high safety with minimal modification of the starting times.