Projects
Overview
This project focuses on developing methods to enhance the scalability and sampling efficiency of metamodel-based simulation analysis. The key technical components include (1) a model-free method based on the Morris elementary effects method for sequential input screening with rigorous statistical performance guarantees, (2) theory and methods for constructing knowledge- and data-driven scalable heteroscedastic metamodels, and (3) a metamodel-based global sensitivity analysis approach to quantifying the impact of each active input under heteroscedasticity.
Traffic Deconfliction for Smart and Autonomous Unmanned Aircraft Systems in Congested Environments
Overview
The project aims at developing a real-time, distributed decision-making algorithm, the Dynamic Network-based Probabilistic Route Planner, for the autonomous operation of multiple UAVs in congested environments. The key technical components include 1) a cloud-sourced database system for UAV data sharing, 2) an algorithm for virtual and dynamic UAV network discovery, 3) time-dependent nonparametric trajectory prediction models, and 4) a time-dependent collision probability map for conflict-free route generation.