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.


    Access

    Access via TIB

    Check availability in my library

    Order at Subito €


    Export, share and cite



    Title :

    Probabilistic Conflict Detection in the Presence of Uncertainty


    Contributors:


    Publication date :

    2014


    Size :

    17 Seiten





    Type of media :

    Conference paper


    Type of material :

    Print


    Language :

    English




    Probabilistic Conflict Detection in the Presence of Uncertainty

    Matsuno, Y. / Tsuchiya, T. / Denshi Koho Kenkyujo (Japan), | British Library Conference Proceedings | 2014


    Probabilistic Conflict Detection in the Presence of Uncertainty

    Matsuno, Yoshinori / Tsuchiya, Takeshi | Springer Verlag | 2014


    Data-Driven Probabilistic Methodology for Aircraft Conflict Detection Under Wind Uncertainty

    de la Mota, Jaime / Cerezo-Magana, Maria / Olivares, Alberto et al. | IEEE | 2023



    PROBABILISTIC CONFLICT DETECTION FOR ROBUST DETECTION AND RESOLUTION

    Lauderdale, T. / American Institute of Aeronautics and Astronautics; International Society for Structural and Multidisciplinary Optimization | British Library Conference Proceedings | 2012