Heterogeneous air traffic flow modeling and congestion mechanism clarification

利用实际航迹数据研究了元胞自动机在空中交通建模中的应用潜力。飞行轨迹被绘制在标称飞行路线上。单元格的大小是根据飞行阶段确定的，为了更好的准确性，两组--航路和下降被单独建模。小区大小是根据非矢量飞行的横向轨迹计算的，因此非矢量飞行每单位时间进行一个小区。矢量化和非矢量化的轨迹和它们的速度曲线之间的比较，在CA建模表明，CA可以成功地应用于建模拥挤和非拥挤的到达交通。此外，合并路线也进行了研究，它表明，空中交通管制员认为合并流量超过一定的阈值。

Actual track data is used to investigate the potential of cellular automata (CA) in air traffic modeling. Flight trajectories are mapped on nominal flight routes. The cell sizes are determined based on the flight stage, with two groups- enroute and descent being modeled separately for better accuracy. Cell size is calculated based on non-vectored flight lateral trajectories, so that non-vectored flights proceed one cell per unit time. Comparison between vectored and non-vectored trajectories and their speed profiles when modeled in CA reveals that CA can be applied successfully to model both congested and non-congested arrival traffic. Furthermore, merging routes are also investigated and it is shown that air traffic controllers consider merging traffic past a certain threshold only.