In order to satisfy the increasing demand in air traffic, the automated air traffic control systems are necessary for facilitating and alleviating the work of air traffic control. The primary concern of air traffic control is to maintain safe separation between aircraft, and one of the major safety critical situations is a midair conflict. In this paper, for the automated air traffic control systems, the problem of probabilistic conflict detection in the presence of various uncertainties during flight is considered. The aircraft dynamics are described by using stochastic differential equations, and the future aircraft's trajectory is determined by solving the stochastic optimal control problem. A computationally efficient numerical algorithm combining the pseudospectral method with the generalized polynomial chaos method to solve the stochastic trajectory optimization problems is proposed. By using the stochastic trajectory optimization method, the novel probabilistic conflict detection algorithm is proposed. Through the numerical simulations for trajectory prediction and conflict detection, the performance and effectiveness of the algorithms are illustrated.
Probabilistic Conflict Detection in the Presence of Uncertainty
2014
17 Seiten
Conference paper
English
Probabilistic Conflict Detection in the Presence of Uncertainty
British Library Conference Proceedings | 2014
|Probabilistic Conflict Detection in the Presence of Uncertainty
Springer Verlag | 2014
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