A prediction method of airspace sector congestion degree based on random forest
A technology of airspace sectors and congestion levels, applied in traffic flow detection, traffic control systems of road vehicles, instruments, etc., can solve problems such as lack of application methods and lack of research, and achieve scientific and reasonable prediction results
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[0045] The present invention is described in detail below in conjunction with accompanying drawing and embodiment:
[0046] Such as figure 1 As shown, the airspace sector congestion prediction method based on random forest includes the following steps:
[0047](1) Read in historical data: process the sector trajectory data (experiments using one sector’s data for one week), and include the week, time period, sector capacity saturation, potential conflict times, sector aircraft density, sector The seven indicators of the average speed saturation of regional aircraft and the average distance between aircraft in the sector are arranged from left to right to form the first row of the data set. In each time period, the sector contains a data set of five index data: sector capacity saturation, potential conflict times, sector aircraft density, sector aircraft average speed saturation, and sector aircraft average distance.
[0048] (2) Data preprocessing (discretization): The five ...
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