Title :
Safety of cooperative collision avoidance for unmanned aircraft
Author :
Zeitlin, Andrew D. ; McLaughlin, Michael P.
Author_Institution :
Center for Adv. Aviation Syst. Dev., MITRE Corp., McLean, VA
fDate :
4/1/2007 12:00:00 AM
Abstract :
For unmanned aircraft to be routinely used in civil airspace, an effective collision avoidance function is one area deemed essential for safe operation. Like manned aircraft, avoiding collisions with transponder-equipped, or "cooperative" traffic is among the primary hazards. This paper discusses the necessity of developing various models of environmental and system components in the collision avoidance functional chain. Potential sensitivities and shortcomings of the TCAS collision avoidance system for unmanned aircraft are discussed. The analysis method of fast-time simulation can develop a rich sample of collision encounter events from the numerous statistical distributions. This provides an established means to demonstrate system compliance with safety targets, when they are established
Keywords :
Monte Carlo methods; aerospace safety; aircraft; collision avoidance; remotely operated vehicles; statistical distributions; TCAS collision avoidance system; analysis method; civil airspace; cooperative collision avoidance; fast-time simulation; manned aircraft; statistical distributions; unmanned aircraft; Air safety; Air traffic control; Aircraft; Analytical models; Collision avoidance; Discrete event simulation; Hazards; Road accidents; Traffic control; Unmanned aerial vehicles;
Journal_Title :
Aerospace and Electronic Systems Magazine, IEEE
DOI :
10.1109/MAES.2007.351714