Title:
VALIDATING SIMULATED DATA FROM MULTI-UNMANNED AIRCRAFT SUPERVISION
Abstract:
Simulation aids in developing operational concepts for complex multi-vehicle supervision tasks. Validating the simulation output for analysis needs is a crucial step. Researchers simulated multi-UAV supervision, defining human operator shift stages based on the first set of aircraft taking off (ramp up), initial aircraft flying and landing and new ones taking off, flying, and landing (steady state), and all aircraft landing at the shift’s end (ramp down). The experimental design varied the maximum number of aircraft an operator can supervise (max aircraft) and how many aircraft can take off at a time. I created R scripts to visualize simulation data over different samplings at different rates (1, 5, and 10 seconds). While the ramp up phase should have ended when the peak number of aircraft for the phase were active, the defined ramp-up (RU) phase included multiple peaks. While the ramp down phase should have ended when all active aircraft landed, this phase continued beyond this point. In several trials the peak number of active UAVs never reached the defined max aircraft. Visualizations revealed unexpected outcomes, showcasing the significance of exploratory visual analysis in highlighting trends beyond numerical data.
VALIDATING SIMULATED DATA FROM MULTI-UNMANNED AIRCRAFT SUPERVISION
Abstract:
Simulation aids in developing operational concepts for complex multi-vehicle supervision tasks. Validating the simulation output for analysis needs is a crucial step. Researchers simulated multi-UAV supervision, defining human operator shift stages based on the first set of aircraft taking off (ramp up), initial aircraft flying and landing and new ones taking off, flying, and landing (steady state), and all aircraft landing at the shift’s end (ramp down). The experimental design varied the maximum number of aircraft an operator can supervise (max aircraft) and how many aircraft can take off at a time. I created R scripts to visualize simulation data over different samplings at different rates (1, 5, and 10 seconds). While the ramp up phase should have ended when the peak number of aircraft for the phase were active, the defined ramp-up (RU) phase included multiple peaks. While the ramp down phase should have ended when all active aircraft landed, this phase continued beyond this point. In several trials the peak number of active UAVs never reached the defined max aircraft. Visualizations revealed unexpected outcomes, showcasing the significance of exploratory visual analysis in highlighting trends beyond numerical data.