Modelling future launch traffic and its effect on the LEO operational environment

Wilson, Callum J. and Vasile, Massimiliano and Feng, Jinglang and McNally, Keiran and Antón, Alfredo and Letizia, Francesca; (2024) Modelling future launch traffic and its effect on the LEO operational environment. In: AIAA SciTech 2024 Forum. American Institute of Aeronautics and Astronautics, USA. ISBN 9781624107115 (https://doi.org/10.2514/6.2024-1814)

[thumbnail of Wilson-etal-AIAA-2024-Modelling-future-launch-traffic-and-its-effect-on-the-LEO-operational-environment]
Preview
 Text. Filename: Wilson-etal-AIAA-2024-Modelling-future-launch-traffic-and-its-effect-on-the-LEO-operational-environment.pdf
Accepted Author Manuscript
License: Strathprints license 1.0
Download (1MB)| Preview

Abstract

Launches are a significant source of uncertainty for the evolution of the space environment, which creates a major challenge for predicting the state of the environment in future. Many space environment models that require an estimate of launch traffic will either use no launches as a baseline or repeat historical data. Recent shifts in launch traffic because of New Space have shown that this approach is unrealistic and does not account for potential further changes in launch traffic. Our proposed approach to modelling launches is a parametric model that can simulate various future launch scenarios. This model calculates the total number of objects launched per year using an exponential-logistic curve to capture the sharp increase in launch traffic. To determine the location and physical characteristics of launched objects, the model fits probability distributions to data from previous launches. These distributions can vary over time to simulate other changes in launch trends aside from the number of objects. The launch model can be used along with other debris environment modelling tools to simulate the evolution of the space environment and accordingly to calculate the risk of collision for new missions. Results are shown for the collision likelihood of some example missions in LEO based on a launch scenario generated by the model.

CORE (COnnecting REpositories)