Unmanned aircraft systems (UAS) are one of the fastest growing sectors of aviation today. Given the growing concern among both regulators and the general public with respect to the safety of these flights, new tools are needed to understand the demand and the associated impact of UAS on the National Airspace (NAS).
UAS-Max, developed by Intelligent Automation Inc. (IAI), is a UAS demand forecast generation tool that provides NAS stakeholders with sample UAS demand datasets that can be used to model and study the impact of UAS flights in controlled Airspace.
UAS-Max generated data is focused on UAS flights 2,000 feet above ground level or higher. The UAS missions and mission specific flight data are developed based on interviews with SME’s and the key stakeholders that are planning to fly UAS. Based on these inputs, detailed demand forecasts are generated and validated using advanced modeling and simulation techniques. UAS-Max data sets provide users with critical data, such as UAS mission characteristics, mission specific demand estimates, aircraft types, flight routes, departure/arrival airports and other flight plan data, that are needed to model UAS traffic in the NAS for a wide range of relevant use cases. Each UAS-Max mission data product has the relevant data needed to model and analyze the impact of UAS operations in the NAS for the representative use case.
UAS-Max demand data is currently available for the following missions:
|Air Quality Monitoring
||Weather Data Collection
|Point-Source Emissions Monitoring
||Airborne Pathogen Tracking
|Aerial Imaging and Mapping
To purchase a UAS-Max mission dataset for specific missions, or learn more about the capabilities of UAS-Max please contact us.
UAS-Max mission data products help researchers, analysts, policy makers, and other users better understand the impact of UAS in the National Airspace. UAS and NAS stakeholders can use UAS-Max data sets to:
- Study the integration of UAS flights with commercial flights in class A, B, C, D, and E airspace.
- Study the safety characteristics of UAS flights in the future.
- Analyze the impact of UAS on the frequency communication spectrum.
- Compute the impact of UAS on noise and emissions throughout the National Airspace System.
- Generate encounter geometries to test "detect and avoid" algorithms.
Projected Air Quality Monitoring UAS Flights in the Los Angeles Basin