A numerical evaluation method of the revised ACAS algorithms using a smoothed spline interpolation

This paper discusses the evaluation method of Airborne Collision Avoidance System (ACAS) algorithms. The risk ratio analysis is discussed using probability theory. Natural spline functions are presented as a tool for radar data smoothing and interpolation. Finally, the risk ratios of sample situations are calculated.