The anticipated commercial market is STEM education, centered on Aerial Robotics camps for high school students. A simulation environment at the scale of a school gymnasium is planned for Phase II development. Beyond Phase II, the system would be further developed to support transportation and rapid deployment in any gymnasium with a floor area and height for at least two basketball courts. Any such gymnasium (at most high schools and many middle schools and community centers around the country) then becomes a potential venue for a camp. A single environment can support 50 vehicles that would be designed and operated by 100-150 campers. Assuming 10 weeks of availability between May and September (allowing for transportation and set-up between different camp locations), more than a thousand students would gain direct exposure to the most pressing aeronautics problem of our time, and would experience the thrill of measuring baseline system performance and designing and implementing improvements to it. A natural commercialization outcome would be to design and install an airspace simulation environment at a NASA center. All of the essential system features can be demonstrated in Phase II in a space about the size of a school gymnasium. Such an environment could then be scaled up for a larger space, to enable simulation of a larger segment of airspace with more vehicles in simultaneous operation. Hangars at Langley or Dryden might be re-purposed for the airspace environment, but Hangar One, at Ames Research Center, would be an ideal venue. It is a very large structure with huge interior volume that is planned for refurbishment but does not have an identified use. It is located at a center that already has responsibility for airspace modeling, so it would readily support cross-pollination between software simulations and subscale flight demonstrations of airspace effectiveness. The environment would be a national resource for developers of new vehicles that must be integrated into airspace, and for researchers pursuing algorithms and protocols for improved airspace effectiveness.