Personal transportation as we know it is being reimagined thanks to the introduction of autonomous electric vehicles. With autonomous vehicles (AV) on the rise, especially for Transportation Network Companies (TNC), it is expected that the experience inside of the vehicle cabin will be tailored engineered for riders, not drivers. As a result, customer-facing attributes such as noise, vibration, and harshness (NVH) will need to be considered with a new perspective. Of the many challenges in developing NVH performance of an AV, road noise and component noise have, and continue, to require the most amount of development and refinement effort. It is well known that a critical component in the chain from the tire-road interface to the occupant’s ears is the tire-wheel assembly and, therefore, allocating targets for this subsystem is essential. When in motion, the tire-wheel system possesses complex structural-acoustic properties like centrifugal, gyroscopic, fluid-structure coupling, pre-load effects, and excitation that may be described by random enforced motion at the tire contact patch and road interface. Component targets are derived by experimental and virtual methods, enabling simulation-driven product development. For tire testing and development, experimental methods are often limited by the availability of complex and expensive test infrastructure. An alternative approach is explored in order to develop tire-wheel subsystem targets using experimental tests and virtual methods applying transmissibility theory with multiple degrees of freedom based on frequency response functions derived at free-free boundary conditions.