Abstract: The present application provides a 4-dimensional trajectory regulatory decision-making method for air traffic. The method includes: acquiring a node vector set of a target flight to obtain a target node vector set; acquiring the node vector set of all historical flights simultaneously to obtain a historical node vector set; acquiring a similarity between the target node vector set and the node vector set of each historical flight in the historical node vector set to obtain a plurality of similarity data; acquiring a similarity data which is greater than a preset similarity data from plurality of similarity data to obtain a target similarity data; acquiring a historical flight to which the target similarity data belongs to obtain a target historical flight; acquiring a historical decision-making instruction of the target historical flight to obtain a target decision-making instruction.

Abstract: Embodiments of the present disclosure provide a method, an apparatus, a device and a storage medium for pre-warning of aircraft flight threat evolution. The method includes: inputting historical threat situation data to an evolution model that has been trained to convergence to output each evolution mode corresponding to the historical threat situation data and a probability corresponding to the evolution mode; obtaining evolution trend data corresponding to the historical threat situation data according to the evolution mode and the probability; assigning a detection task to other aircraft within a preset range of a target aircraft according to a crowdsourcing strategy, and acquiring current actual flight threat information detected by the other aircraft according to the detection task; sending pre-warning information to a pre-warning device if the flight threat meets a pre-warning condition.

Abstract: The disclosure provides a method and an apparatus for predicting flight delay, a device and a storage medium. The method includes: acquiring flight historical data, where the flight historical data includes take-off amount and delay amount of flights during each of a plurality of time periods; determining prior knowledge of each of the plurality of time periods according to the take-off amount and the delay amount of the flights during each of the plurality of time periods; constructing a SVM prediction model according to the prior knowledge and a standard SVM model; and predicting a flight delay situation according to the SVM prediction model. The prediction of the flight delay situation for each of the plurality of time periods is realized.

Abstract: Embodiments of the present disclosure provide a method, an apparatus, a device and a storage medium for pre-warning of aircraft flight threat evolution. The method includes: inputting historical threat situation data to an evolution model that has been trained to convergence to output each evolution mode corresponding to the historical threat situation data and a probability corresponding to the evolution mode; obtaining evolution trend data corresponding to the historical threat situation data according to the evolution mode and the probability; assigning a detection task to other aircraft within a preset range of a target aircraft according to a crowdsourcing strategy, and acquiring current actual flight threat information detected by the other aircraft according to the detection task; sending pre-warning information to a pre-warning device if the flight threat meets a pre-warning condition.

Abstract: The present application provides a 4-dimensional trajectory regulatory decision-making method for air traffic. The method includes: acquiring a node vector set of a target flight to obtain a target node vector set; acquiring the node vector set of all historical flights simultaneously to obtain a historical node vector set; acquiring a similarity between the target node vector set and the node vector set of each historical flight in the historical node vector set to obtain a plurality of similarity data; acquiring a similarity data which is greater than a preset similarity data from plurality of similarity data to obtain a target similarity data; acquiring a historical flight to which the target similarity data belongs to obtain a target historical flight; acquiring a historical decision-making instruction of the target historical flight to obtain a target decision-making instruction.

Abstract: The disclosure provides a method and an apparatus for predicting flight delay, a device and a storage medium. The method includes: acquiring flight historical data, where the flight historical data includes take-off amount and delay amount of flights during each of a plurality of time periods; determining prior knowledge of each of the plurality of time periods according to the take-off amount and the delay amount of the flights during each of the plurality of time periods; constructing a SVM prediction model according to the prior knowledge and a standard SVM model; and predicting a flight delay situation according to the SVM prediction model. The prediction of the flight delay situation for each of the plurality of time periods is realized.