33 results about "Air traffic flow management" patented technology

The invention relates to a navigation segment operating time optimization calculation device. The navigation segment operating time optimization calculation device comprises a navigation segment division module used for obtaining a division result of a navigation segment operating stage for re-division, a data obtaining module used for obtaining flight historical data and an operating time calculating module used for calculating navigation segment operating time aiming at the flight historical data of different navigation segment operating stages according to cluster features. The navigation segment operating segments are divided again, so that clustering analysis is carried out on the flight historical data and associated with time segments, the operating time of the segments is determined according to temporal and spatial characteristics of a cluster result, and thus, comprehensive navigation segment operating time is obtained to provide data basis for strategy and pre-tactics segment of air traffic flow management.

Arrival sequencing and scheduling (ASS) is an important study of air traffic flow management. High-efficiency ASS optimization is very important to improve the efficiency, the space utilization rate and the safety of airports. In the invention, the ASS in dynamic environment is taken into consideration, receding horizon control is introduced and ant colony algorithm is applied in arrival sequencing and scheduling. The simulation results show that the ant colony algorithm based on receding horizon control strategy can not only effectively solve the problems of ASS in dynamic environment, but also greatly lower the computation complexity. Accordingly, the method is suitable for real-time ASS in terminal areas.

The invention discloses a multi-airspace trajectory planning and a negotiation method oriented to four-dimensional track operation, and belongs to the field of air traffic management. The method firstly obtaining a flight plan, an airspace capacity, an airport available time slots, and an air traffic flow management policy information, determining the criteria for interplay between the flight trajectories of flight segments, defining a control airspace and an intermediate airspace, generating an airspace flight interaction relation matrix, and in this way, determining the flight trajectory scope that needs to be prioritized, adjusting the trajectory by changing the key point time and height, iteratively updating the matrix until the number of interdependent flights is zero, planning the result and determining the executability in trajectory sharing and negotiation. According to the multi-airspace trajectory planning and negotiation method oriented to four-dimensional track operation, the technical support can be provided for the development of a hollow tube automation system and a control auxiliary decision tool which support four-dimensional track operation.

The invention provides a multi-airport collaboration discharging system flight ordering method in severe weather. The multi-airport collaboration discharging system flight ordering method is used in a tactic flow management stage in an air traffic flow management system. In the severe weather, severe weather factors are converted into constraint conditions, according to the constraint conditions, in the flight ordering and discharging process, a united discharging order is provided for control units, airports and airline companies which participate in discharging, maximum utilization of airspace resources is achieved, the running guarantee efficiency of air traffic control in the severe weather is improved, and the air traffic safety is guaranteed.

The invention discloses a controlled airspace strategic flow prediction method based on a gray long-short-term memory network, and belongs to the technical field of air traffic flow management. The controlled airspace strategic flow prediction method comprises the following steps: step 1, reading data; step 2, preprocessing the data; step 3, preliminarily screening influence factors by utilizing grey correlation analysis; step 4, extracting main characteristics by utilizing a principal component analysis method; step 5, establishing a gray strategic flow prediction model; step 6, establishinga long short-term memory network strategic flow prediction model; and step 7, establishing a gray long-short-term memory network combination prediction model. For the controlled airspace strategic flow prediction method, scientific basis can be provided for airspace structure optimization such as sector division and route adjustment of the control area; effective utilization of airspace resourcesis achieved; and a basis is provided for resource demand distribution such as future personnel investment, financial investment and fixed asset investment of the controlled area.

The invention relates to a route segment operation time calculation method based on clustering characteristics. The method for calculating the flight segment operation time based on the clustering characteristics comprises the following steps: obtaining a division result of resplitting a flight segment operation stage; Acquiring flight historical data; And for flight historical data of different flight segment operation stages, calculating flight segment operation time according to the clustering characteristics. The method comprises the following steps: firstly, obtaining flight historical data, resplitting the flight segment operation stages, carrying out clustering analysis by using the flight historical data, associating the flight historical data with time slices, determining the operation time of each stage according to the space-time characteristics of a clustering result, further obtaining comprehensive flight segment operation time, and providing a chemical data basis for thestrategy of air traffic flow management and a pre-tactical stage.

The invention discloses an air traffic flow management system based on a vertical profile view and a method. The air traffic flow management system comprises a data collection module, an air traffic control module and a visualization user interface manager; the data collection module collects flight data of various aircrafts; the flight data at least comprises 3D coordinate information of the aircraft, the flight path information and the air pressure data; the air traffic control module marks off a normal flight region and an abnormal flight region according to the data collected by the data collection module; the visualization user interface manager is configured to display the normal flight zone, the abnormal flight zone and the abnormal operation aircraft which are outputted by the air traffic control module on the vertical profile view on a displayer of a user.

The embodiment of the invention provides an airport arrival rate prediction method and device, and belongs to the technical field of air traffic flow management. The method includes the steps of obtaining environmental data of a selected area in a preset time period and actual airport arrival rate data corresponding to the preset time period; the environmental data is converted into environmental attribute data, the environmental attribute data includes environmental attribute training data, and the actual airport arrival rate data includes a first actual airport arrival rate; Obtaining first actual airport arrival rate classification data based on the first actual airport arrival rate and a preset classification threshold rule; establishing an airport arrival rate prediction model based on the preset time period, the environmental attribute training data, the first actual airport arrival rate classification data and a regression algorithm; and calculating a first predicted airport arrival rate of the selected area based on an airport arrival rate prediction model. The method predicts the airport arrival rate by establishing the airport arrival rate prediction model, and can provide suggestions for air traffic decision makers.

The invention discloses an air route time slot and height layer collaborative optimization distribution method, and belongs to the field of air traffic management. The method comprises the following steps: firstly, acquiring planned route and alternative route information in a traffic limited airspace, available time slot information of a downstream airspace unit of the planned route and flight operation information, then formulating an air route time slot and height layer collaborative optimization distribution algorithm, establishing an objective function and a constraint condition which meet effectiveness by taking the minimum total ground delay loss of all flights, the minimum alteration number of height layers of all flights and the minimum total fuel consumption of all flights as objectives, further establishing a multi-objective optimization model of air route time slot and height layer collaborative allocation, finally solving the model to obtain a non-inferior solution set, and forming an air route time slot and height layer collaborative optimization distribution strategy. According to the invention, a technical basis is provided for air traffic flow management and airspace and flow collaborative management.

The invention relates to a flight release sorting method, in particular to a flight release sorting method based on air traffic flow management. A flight release sorting method based on air traffic flow management is characterized in that the method comprises the steps: determining the number of flights in a flight sorting pool and planned takeoff time of each flight, and employing a particle swarm algorithm for sorting flight sequences to achieve the purpose that the total flight delay time is minimum. The flight sequencing method provided by the invention has the advantages and effects that the flight sequencing method based on the particle swarm algorithm takes the minimum total flight delay time as the target, comprehensively considers the flow control interval, the take-off interval and other limiting factors, and sequences the flight sequence. Experiments show that the flight release efficiency can be improved, the flight delay time can be shortened, and compared with an existing system, the method has higher robustness and a better flight sorting effect.

Method of miles-in-trail passback restrictions for use in air traffic management. Miles-in-trail restrictions can be used as a traffic management initiative when downstream traffic congestion at airports or in sectors is anticipated. To successfully implement the miles-in-trail at airspace fixes or navigational aids, it is desired that restriction values be computed for passing back to upstream facilities at specific boundaries. This method incorporates traffic manager feedback, resulting in significant improvement in guidance. Additional operational considerations required by traffic managers to implement the passback restrictions, namely maximum ground delay and absorbable airborne delay, are used in this method. The method also includes the step of absorbing a small amount of ground and airborne delays which are sufficient to handle the imposed constraint. The method further includes the step of implementing the passback restrictions to provide traffic managers ways to alleviate traffic constraints for reducing excessive airborne delay for current traffic conditions.

The invention discloses an air traffic flow management system based on a vertical profile view. The system comprises a data acquisition module, an air traffic control module and a visual user interface manager. The data acquisition module acquires flight data of each aircraft. The flight data at least comprises three-dimensional coordinate information, track information and air pressure data of the aircraft. The air traffic control module performs dividing for dividing a normal flight area and an abnormal operation area according to data which are acquired by the data acquisition module. The visual user interface manager is configured to display the normal flight area, the abnormal operation area and the abnormal operation aircrafts which are output from the air traffic control module on avertical profile view of a display device of a user.

The invention discloses a chance-constrained air traffic flow management method. During a preliminary tactical stage of air traffic flow management, for an uncertainty of future capacity information,a chance-constrained method is used to preliminarily adjust a future air traffic flow; and the chance-constrained air traffic flow management method is specifically as follows: obtaining a flight schedule; obtaining sector capacity distribution information and determining a chance constraint value; and on the basis of the capacity distribution information and the chance constraint value, making apreliminary tactical air traffic flow management policy. The chance-constrained air traffic flow management method provided by the invention applies a chance constraint to the preliminary tactical stage of air traffic flow management, and preliminarily adjusts a flow according to future capacity distribution information under a condition where an airspace capacity is balanced with the flow at a large probability, to achieve the effect of greatly reducing total tardy of a flight; and the chance-constrained air traffic flow management method is easy to understand and easy to implement, only needs to predict airspace and airport capacities within a future period of time, and has advantages of promotion and practice.

The invention belongs to the technical field of civil aviation traffic control, and particularly relates to a terminal area time sequence meteorological scene intelligent identification system, which comprises: a data acquisition module for acquiring weather avoidance area data in a target terminal area calculation range and airport local visibility data; a calculation module which is used for defining and calculating a rasterized band weight; a data set construction module which is used for forming a time sequence RSI data set and a time sequence visibility data set; a similarity matrix construction module which is used for constructing a meteorological scene similarity matrix; and a recognition module which is used for training a spectral clustering model used for recognizing the meteorological scene so as to obtain a final time sequence meteorological scene recognition result, terminal area meteorological scene recognition can serve as basic support for historical flight operation analysis, a decision basis can be provided for implementation of an air traffic flow management strategy under the influence of weather such as convective weather, and terminal area meteorological scene identification is beneficial to improvement of flight operation safety and reduction of flight operation irregularity.

The invention relates to the field of civil aviation air traffic flow management and airport operation management, in particular to a method for determining flight demanded wheel gear withdrawing time. The method is used for solving the problem that the feasibility of a flight ground guarantee plan is low due to the fact that an airline requires DOBT frequency hopping. In order to solve the problem that the waiting time of passengers on aircrafts is too long, the invention provides a method for determining the required departure gear time of flights, which comprises the following steps that: amanagement system publishes DOBT and an update threshold N1 to airlines according to the published COBT; when COBT is more than TOBT, confirming that COBT is valid, turning to the next step, when COBT is more than TOBT, confirming that COBT is invalid, and returning to the previous step; when COBT (DOBT or COBT) DOBT + N1, DOBT is updated to obtain DOBTnew, and DOBTnew = COBT; and when the DOBT is greater than or equal to COBT and less than or equal to DOBT + N1, the DOBT is not updated. When the method is used for determining the DOBT of the flight, the jumping frequency of the DOBT can be effectively reduced, the implementability of a flight ground guarantee plan is improved, the waiting time of passengers on an airplane is shortened, and the taking experience of the passengers is effectively improved.

The invention discloses a sector flow short-term prediction method based on a decomposition integration methodology. According to the method, an original time series data decomposition module and a component prediction module are installed; an original time sequence is decomposed into a plurality of IMFs through a CEEMDAN method, all the IMFs are predicted through an EELM method, and then integrated prediction is conducted in an accumulation mode. By applying the method, a scientific and accurate criterion can be provided for accurately predicting the air traffic flow and accurately taking airtraffic flow management measures.

The invention belongs to the technical field of civil aviation traffic control, and particularly relates to a terminal area time sequence meteorological scene recognition method based on spectral clustering, which comprises the following steps: acquiring weather avoidance area data in a target terminal area calculation range and airport local visibility data; defining and calculating a rasterization band weight; forming a time sequence RSI data set and a time sequence visibility data set; constructing a meteorological scene similarity matrix; and training a spectral clustering model used for identifying a meteorological scene to obtain a final time sequence meteorological scene identification result, thereby realizing that terminal area meteorological scene identification not only can be used as a basic support for historical flight operation analysis, but also can provide a decision basis for implementing an air traffic flow management strategy under the meteorological influence of convective weather and the like. The terminal area meteorological scene identification is helpful for improving the flight operation safety and reducing the flight operation irregularity.

The invention, which relates to the air traffic management service field, especially to a realization principle of the value determining method and technology for practical operation standard of air traffic flow management, particularly provides a dynamic value determining method and system for a practical operation standard of air traffic flow management. The method comprises: S1, an air traffic flow database is established and historical traffic flow data are stored; S2, a statistic feature of a historical traffic flow value is obtained and is used as a parameter of a dynamic value taking model; S3, according to a performance management target of the air traffic flow management, a dynamic value taking model is designed; and S4, a practical operation standard dynamic value of a traffic flow is outputted. The provided method and system are applied to the aviation field to carry out air traffic flow management.

The invention discloses a flight trajectory multi-target dynamic planning method, and belongs to the field of air traffic management. The method comprises the following steps of: acquiring information such as an air route network structure, flight segment length, height layer configuration of each flight segment, flow control and the like in an available airspace of a flight; establishing a flight trajectory multi-target dynamic planning model by realizing minimum fuel consumption, shortest flight time and minimum height layer change times as targets; designing a solving algorithm of the flight trajectory multi-target dynamic planning model; and finally solving the model to form multiple strategies of flight trajectory multi-stage decision. According to the method of the invention, a technical basis is provided for air traffic control and air traffic flow management.

The invention relates to a probabilistic air route sector traffic demand prediction method which comprises the following steps: a step of classifying and running statistics on errors of prediction ontime at which an aircraft passes a sector boundary point in a corresponding time period, and a step of probabilistically predicting traffic demand of a air route sector according to a classification statistics; according to the method, based on the existing historical data and prediction data of the time at which the aircraft passes the point, distribution characteristics of the errors of prediction on the time at which the aircraft passes the point and influencing factors thereof are analyzed, and a statistical method for the distribution characteristics of the errors of prediction on the time at which the aircraft passes the point is established; on this basis, the probabilistic air route sector traffic demand prediction method is proposed. Finally, based on actual operation data, probability distribution and a change law of sector traffic demand for a certain period of time are obtained, that accuracy of obtained probabilistic traffic demand prediction results is found to be greatlylarger than accuracy of traditional deterministic traffic demand prediction results, and the method disclosed in the invention can provide a scientific basis for traffic demand forecasting for air traffic flow management.

The invention relates to a valuing method and technical implementation principle of a practical operation standard related to air traffic flow management in the field of air traffic management serviceand specifically relates to a dynamic valuing method and system for an air traffic flow management practice operation standard. The method includes steps of S1, establishing an air traffic flow database and storing history data of traffic flow; S2, acquiring statics features of history traffic flow values as parameters of a dynamic valuing model; S3, designing the dynamic valuing model accordingto a performance management target of air traffic flow management; S4, outputting practice operation standard dynamic values of traffic flow. The method and system are applied to the aviation field and are used for air traffic flow management.

The embodiment of the invention discloses an airport traffic capacity analysis method and system based on multi-source meteorological data, relates to an air traffic flow management technology, and aims to qualitatively analyze and evaluate the degree of meteorological influence on the airport traffic capacity in a certain time period in the future, reduce the working difficulty of flow managementpersonnel and improve the analysis accuracy of the actual traffic capacity of the airport. The method comprises the steps of determining all to-be-predicted time slices of a target airport; extracting multi-source meteorological information from an information source, and acquiring meteorological elements corresponding to each time slice by utilizing the multi-source meteorological information; for each time slice, according to the meteorological elements corresponding to the time slice and the classification parameters of the target airport, obtaining the influence degree of the meteorological elements on the traffic capacity of the target airport under the time slice; and according to the obtained influence degree, conducting grading marking out on each time slice of the target airport,and outputting a grading marking result to a display device. The method is suitable for automatic analysis of the airport traffic capacity.