A Turn-Projected State-Based Conflict Resolution Algorithm

State-based conflict detection and resolution (CD&R) algorithms detect conflicts and resolve them on the basis on current state
information without the use of additional intent information from aircraft flight plans. Therefore, the prediction of the
trajectory of aircraft is based solely upon the position and velocity vectors of the traffic aircraft. Most CD&R algorithms
project the traffic state using only the current state vectors. However, the past state vectors can be used to make a better
prediction of the future trajectory of the traffic aircraft. This paper explores the idea of using past state vectors to detect traffic
turns and resolve conflicts caused by these turns using a non-linear projection of the traffic state. A new algorithm based on
this idea is presented and validated using a fast-time simulator developed for this study.