All large transport aircraft are required to be equipped with a collision avoidance system that instructs pilots how to maneuver to avoid collision with other aircraft. The uncertainty in the behavior of the intruding aircraft makes developing a robust collision avoidance logic challenging. This paper presents an automated approach for optimizing collision avoidance logic based on probabilistic models of aircraft behavior and a performance metric that balances the competing objectives of maximizing safety and minimizing alert rate. The approach involves framing the problem of collision avoidance as a Markov decision process that is solved using dynamic programming. Although this paper focuses on airborne collision avoidance for manned aircraft, the methods may be applied to collision avoidance for other categories of vehicles, both manned and unmanned.
A decision-theoretic approach to developing robust collision avoidance logic
2010-09-01
368784 byte
Conference paper
Electronic Resource
English
Collision Avoidance: A Game Theoretic Approach
AIAA | 2015
|Collision Avoidance: A Game Theoretic Approach (AIAA 2015-0600)
British Library Conference Proceedings | 2015
|New Concepts in Collision Avoidance Logic
IEEE | 1986
|New concepts in collision avoidance logic
AIAA | 1984
|Decision making for collision avoidance systems
Automotive engineering | 2002
|