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A Probabilistic Algorithm for Multi-aircraft Collision Detection and Resolution in 3-D
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 Title & Authors
A Probabilistic Algorithm for Multi-aircraft Collision Detection and Resolution in 3-D
Kim, Kwang-Yeon; Park, Jung-Woo; Tahk, Min-Jea;
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This paper presents a real-time algorithm for collision detection, collision avoidance and guidance. Three-dimensional point-mass aircraft models are used. For collision detection, conflict probability is calculated by using the Monte-Carlo Simulation. Time at the closest point of approach(CPA) and distance at CPA are needed to determine the collision probability, being compared to certain threshold values. For collision avoidance, one of possible maneuver options is chosen to minimize the collision probability. For guidance to a designated way-point, proportional navigation guidance law is used. Two scenarios on encounter situation are studied to demonstrate the performance of proposed algorithm.
Multi-aircraft Collision Avoidance;Monte Carlo Simulation;Probablity;
 Cited by
Lee C. Yang and James K. Kuchar, "Prototype Conflict Alerting System for Free Flight", American Institute of Aeronautics and Astronautics, Inc., 1997

Wallace E. Kelly III, Rockwell Collins, Cedar Rapids and Iowa, "Conflict Detection and Alerting for Separation Assurance Systems", Digital Avionics Systems Conference, St. Louis, 1999

Jimmy Krozel and Mark Peters, "Strategic Conflict Detection and Resolution for Free Flight", Seagull technology, Inc., 1997

Douglas R. Isaacson and Heinz Erzberger, "Design of A Conflict Detection Algorithm for The Center/Tracon Automation System", NASA Ames Research Center, 1997

Jimmy Krozel, Mark. E. Peters and George Hunter, "Conflict Detection and Resolution for Future Air Transportation Management", Seagull technology, Inc., 1997

P. K. Menon, G. D. Sweriduk and B. Sridhar, "Optimal Strategies for Free Flight Air Traffic Conflict Resolution", Optimal synthesis, 1997