The hybrid dynamics of the complex cyber-physical systems within UAM networks are difficult to model and analyze to enable reasoning about human interference, intervention, guidance, and assistance. Effective V&V and T&E frameworks are needed to provide provable guarantees of correctness in the UAM network, improve safety, and provide certification methodologies for autonomous operation in the airspace.
UAM networks require V&V and T&E at multiple layers across multiple scales, ranging from individual vehicle components to network-level emerging behaviors. Such systems typically possess hybrid dynamics, are difficult to model and analyze, and require reasoning about human interference, intervention, guidance, and assistance. Therefore, novel V&V and T&E tools that are scalable and modular, and that can flexibly accommodate evolving specifications and requirements, are needed