Calculation method for predicting flight arrival time based on air trajectory and big data

Abstract

The invention relates to a calculation method for predicting flight arrival time based on an air trajectory and big data. The calculation method comprises landing runway prediction calculation, landing time prediction calculation and upshift time prediction calculation. The flight historical big data with the highest simulation degree under all factors is adopted as a matching prediction sample, the matching prediction sample has the high matching degree with real operation, the requirement for a data source needed by calculation is not high, the technology implementation difficulty is not large, product conversion can be rapidly achieved even in small and medium-sized airports with low data conditions, the method has the high copy popularization performance, and the method is suitable for popularization and application. A prediction mechanism and algorithm for flight landing time and wheel chock getting-on time in a flight control area to which an airport belongs are established by performing staged modeling and state recognition on an air running track of an aircraft and taking big data statistical analysis as a main technical means, so that accurate reference is provided for an airport ground support system; the method can effectively reduce wait wait or delay in place of airport ground support resources, and effectively improves the utilization rate of the ground support resources.

Description

technical field [0001] The invention relates to the technical field of aviation management application methods, in particular to a calculation method for predicting flight arrival time based on air trajectory and big data. Background technique [0002] The landing time and last block time of civil aviation flights are very important operational reference data in airport operations. In practical application, before the incoming flight arrives at the designated parking space, all ground support personnel and equipment at the airport will make preparations in advance with reference to the estimated landing time of the flight; Carry out ground support work close to the aircraft. [0003] At present, due to the lack of accurate prediction methods in the ground support work of civil aviation airports, the expected landing time of the flight is usually used as a reference, and the ground support personnel and equipment are required to be at the designated location 5-10 minutes bef...

AI Technical Summary

Problems solved by technology

The above method has the following disadvantages, one: the traditional method of calculating the estimated landing time of a flight usually uses the historical average flight time of the entire flight from the departure airport to the landing airport, or relies on the computer flight planning system to calculate forward flight by flight; Affected by factors such as performance, aviation weather, flight procedures, and air traffic control deployment, large deviations are prone to occur

Second: There is a period of aircraft ground taxiing time between the actual landing of the aircraft and the completion of parking; it is affected by factors such as the direction of the flight landing runway, parking position, ground taxiing path, and avoidance and waiting during ground taxiing. There is a large discrepancy between the time and the aircraft on-block time

Third: The starting point for the vast majority of airport ground support personnel and equipment to carry out their work is usually the time when the aircraft is on the block, not the expected landing time of the flight; referring to the traditional estimated landing time, it is easy to cause waste of airport ground support resources waiting or waiting. delayed in place

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