A numerical evaluation method of the revised ACAS algorithms using a smoothed spline interpolation
Masayuki Shirakawa, Yusuke SUMIYA, S. Ozeki · 2002
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.