9 results about "Flight delay" patented technology

The application discloses a kind of off-site flight dynamic collaborative sequencing methods, specifically comprising the following steps: step 1: for different traffic states of airport, respectively establish off-site flight collaborative sequencing model;Step 2: by dynamic method, obtain the off-site flight list to be sequenced of to-be-sequenced period;And determine the traffic state of to-be-sequenced period airport;Step 3: the off-site flight list to be sequenced obtained in step 2 is input into the off-site flight collaborative sequencing model corresponding to the traffic state of to-be-sequenced period airport, solves off-site flight collaborative sequencing model, obtains flight sequencing.The application provides a kind of method for realizing off-site flight dynamic collaborative sequencing, the method fits collaborative decision-making concept, comprehensively considers the benefit demand of control unit, airline and airport three parties, can carry out optimization sequencing to off-site flight, guarantees the dynamicity of flight sequencing, significantly reduces flight delay, effectively improves fairness.

This invention relates to a method and system for optimizing flight departure times based on delay prediction. The method includes the following steps: Step 1, collecting airport operation data, preprocessing the data, and outputting a structured dataset; Step 2, constructing a multi-dimensional query matrix to predict flight delays; Step 3, constructing a multi-objective optimization model, solving it using an improved NSGA-II algorithm, and outputting a Pareto optimal solution set; Step 4, analyzing the Pareto optimal solution set output in Step 3 to provide decision support. This invention achieves a deep closed-loop fusion of prediction and optimization, improving the robustness of the flight operation system from the planning stage.

A flexible approach trajectory planning method for aircraft in extended terminal areas is proposed. It includes the following steps: designing the airspace structure of the extended terminal area, consisting of a pre-operation area and a dynamic planning area; constructing an aircraft pre-sorting model for the pre-operation area; solving the pre-operation area aircraft pre-sorting model; rasterizing the dynamic planning area airspace into multiple square grids and constructing a network graph; constructing a flexible approach trajectory planning model for the dynamic planning area; and solving the flexible approach trajectory planning model for the dynamic planning area using mathematical programming methods to generate a flexible approach trajectory for each aircraft from the entrance to the exit of the dynamic planning area. This invention, through a collaborative optimization framework of pre-sorting and dynamic trajectory planning in two stages, and innovatively incorporating airspace complexity into the optimization objective, can effectively reduce flight delays and controller workload while improving trajectory flexibility, thereby enhancing the overall safety and efficiency of terminal area operations.

The application discloses a kind of multi-runway airport runway operation mode dynamic adjustment decision methods, comprising: obtaining the runway operation mode dynamic adjustment decision influence factor of digitization;Based on decision influence factor, establish runway operation mode adjustment alarm prompt trigger rule;Runway operation mode adjustment decision processing is carried out, and various runway operation mode adjustment decision suggestions are generated;Decision selects the flight of switching runway operation mode to start execution;According to decision information, command flight to switch runway operation mode.The method of the application can be widely applied in tower control automation, air traffic control automation system, improve airport operation capacity, safety, efficiency, reduce flight delay.

This application provides a method, device, medium, and product for flight forecasting and flight delay determination, relating to the field of flight management technology, and solves the problem of low accuracy in existing flight forecasting methods. The flight forecasting method includes: acquiring flight node information of a target flight, including current execution progress information of multiple flight nodes and completion time information of the most recently completed flight node among the multiple flight nodes; based on the current execution progress information, identifying the target flight node that is not currently being executed among the multiple flight nodes; determining the execution duration of the currently unexecuted target flight node; and based on the execution duration and completion time information of the currently unexecuted target flight node, determining the flight node execution forecast information of the target flight. This method enables flight forecasting based on the current actual situation, thereby improving the accuracy of flight forecasting.

The application discloses a two-stage delay recovery method based on interaction between airlines and passengers, including static and dynamic two stages, which can pre-specify and dynamically adjust the flight delay recovery plan. The static stage takes the aircraft flight as the recovery object, establishes a flight recovery model with the minimum sum of direct recovery cost and indirect recovery cost of the airline as the target, obtains the aircraft flight recovery plan, and publishes the scheme in the form of a recommended scheme to the passengers. The dynamic stage is based on real-time received passenger feedback, and adjusts the passenger itinerary recovery scheme in real time to minimize the passenger delay loss, and generates the final flight and passenger recovery scheme. The application can not only balance the economic cost of the airline and the delay loss of the passenger, but also consider the influence of the passenger itinerary recovery willingness on the preparation of the recovery plan, and is more in line with the actual situation of flight delay. It has wide application prospect and practical significance.

This application provides a method, device, and medium for determining scheduling priorities, scheduling, and data pushing, relating to the field of flight management technology, and solves the problem of low flexibility in existing scheduling priority determination methods. The scheduling priority determination method includes: determining the target flight based on the arrival / departure status and task progress status of each flight in the target flight plan, which reduces the amount of data processed and eliminates the need to adjust the scheduling priorities of all flights; then determining the flight scheduling priority based on flight delay information and transfer connection information, enabling the determination of flight scheduling priorities based on the current actual situation, thereby improving the accuracy and flexibility of flight scheduling priorities.

The application discloses an airport delay level prediction method based on association rules and LSTM, which comprises the following steps: constructing an airport delay level prediction system; calculating average delay time and flight delay rate of each airport at different time periods; dividing delay levels of each airport at different time periods; constructing an airport delay transaction set; applying a time-space association rule mining method based on FP-Growth to mine time-space association rules of airport delays; and applying an LSTM method to predict future delay levels of the airport and calculate prediction accuracy. The airport delay level prediction model constructed by the application applies the time-space association rules with time-space information to the LSTM model, considers the influence of delay conditions of other airports on the predicted airport and the influence of different time periods on the predicted period, and improves the optimization speed of the LSTM model. The application provides a new modeling idea for the research field of domestic airport delay prediction, enriches the research method in the field of delay prediction, and the delay prediction result can provide a decision basis for the airport, the airline company and the air traffic control.

The application discloses a flight delay prediction simulation method and system based on multi-model fusion, and belongs to the technical field of aviation transportation information technology and machine learning application technology.The method comprises the following steps: collecting factor data which has influence on flight delay; inputting the collected factor data into a preset flight delay prediction model; wherein the flight delay prediction model is a fusion model, which comprises a plurality of basic models and a fusion module; the basic model is used for obtaining a flight delay prediction result according to the factor data; the fusion module fuses the prediction results of the basic models to obtain a final flight delay prediction result; and the flight delay prediction model is used for outputting the flight delay prediction result.The application scheme improves the prediction accuracy and system stability of the model in a diversified operation environment through a fusion strategy.