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  1.  5
    A 4D Trajectory Prediction Model Based on the BP Neural Network.Lan Ma, Shan Tian & Zhi-Jun Wu - 2019 - Journal of Intelligent Systems 29 (1):1545-1557.
    To solve the problem that traditional trajectory prediction methods cannot meet the requirements of high-precision, multi-dimensional and real-time prediction, a 4D trajectory prediction model based on the backpropagation neural network was studied. First, the hierarchical clustering algorithm and the k-means clustering algorithm were adopted to analyze the total flight time. Then, cubic spline interpolation was used to interpolate the flight position to extract the main trajectory feature. The 4D trajectory prediction model was based on the BP neural network. It was (...)
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  2. Flight Schedule Adjustment for Hub Airports Using Multi-Objective Optimization.Yiming Ma, Lan Ma & Mei Tao - 2021 - Journal of Intelligent Systems 30 (1):931-946.
    Based on the concept of “passengers self-help hubbing,” we build a flight schedule optimization model where maximizing the number of feasible flight connections, indicating transfer opportunities, as one objective and minimizing total slot displacements as the other objective. At the same time, the “Demand Smoothing Model” is introduced into the flight schedule optimization model to reduce the queuing delays for arrival and departure flights. We take into account all aircraft itineraries, the difficulty level of schedule coordination, and the maximum displacement (...)
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    WNN-Based Prediction of Security Situation Awareness for the Civil Aviation Network.Zhijun Wu, Shaopu Ma & Lan Ma - 2015 - Journal of Intelligent Systems 24 (1):55-67.
    The security of the civil aviation network is closely related to flight safety. Security situation prediction is the advanced stage of situational awareness in the civil aviation network. In this article, a prediction approach of security situations for the air traffic management network is proposed on the basis of the wavelet neural network. The proposed approach adopts the wavelet theory and neural network, combining a time-series forecasting method for the prediction of security situations in the civil aviation network. The experimental (...)
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