Modeling and simulations of three future unmanned aircraft system (UAS) missions are described in this paper: air quality monitoring, wildfire monitoring, and on-demand air taxi. These missions are expected to have high benefit-to-cost ratio, and hence, a high potential for early adoption and integration into the national airspace system (NAS). Due to lack of historical data, input from subject matter experts involved in the air quality and wildfire monitoring domains was obtained to understand the challenges involved in modeling these two missions. On the other hand, the on-demand air taxi mission involved a strong socio-economic component, wherein the general public is directly involved in influencing the characteristics of the mission. Consequently, an activity-based modeling approach was adopted to model this mission. Demand data for the three missions were compiled into standard flight data sets (FDSs) that can be distributed to researchers across academia and the industry to conduct various impact studies on the integration of UAS into NAS. Since this research is part of an ongoing project, details of initial simulations and analyses conducted using these FDSs will also be described. NAS performance in the simulations was measured in terms of number of blind-encounter events and flight delays, before and after the introduction of UAS flights. Blindencounters are separation violations that occur in a hypothetical uncontrolled airspace.

Agenda 2 What NASA-funded project to develop future flight data sets for different civilian UAS missions e.g., traffic monitoring and disaster management Why FAA Modernization and Reform Act of 2012 requires UAS integration: -"[A comprehensive plan to] provide for the safe integration of civil unmanned aircraft systems into the national airspace system as soon as practicable, but not later than September 30, 2015." (Sec. 332) Future UAS flight data sets are needed to study UAS integration e.g., controller workload, and flight safety and security How Modeled three UAS missions (with high potential for NAS interactions) -Air Quality Monitoring, Wildfire Monitoring and On-demand Air Taxi Two modeling approaches -Input from subject matter experts -Activity-based modelingDeveloped future flight data sets (FDSs) for these missions