Flight big data-based gate space resource arrangement method and system

Abstract

The invention discloses a flight big data-based gate space resource arrangement method and system. The method comprises the following steps of establishing a probability distribution prediction model of the predicted loading time of each inbound flight and the predicted unloading time of each outbound flight in an airport, combining the arrival flights and the departure flights, and calculating the operation conflict probability of each arrival-departure flight combination based on the probability distribution prediction model of the arrival flights and the departure flights, screening a port entering-port leaving flight combination meeting the tolerance threshold requirement, and arranging a feasible connection combination scheme of all flights in the airport , based on the screening conditions that the bridge approaching rate is maximum, the passenger experience critical value is minimum, and the sliding time is shortest, screening the arrangement combination meeting the requirements from the connection combination scheme. The method has good goodness of fit with the flight historical operation condition, the accurate gate scheduling time sequence can achieve the dual effects of the increase of the turnover rate of the gallery bridge and the decrease of the station change rate, the satisfaction of passengers can be effectively improved, and the ground taxiing time of airplanes can be shortened.

Description

technical field [0001] The invention relates to the technical field of flight operation control, in particular to a method and system for arranging parking space resources based on flight big data. Background technique [0002] Flight operation control refers to all decisions made by civil aviation units on the start, delay, change, and termination of flight operations; parking stand resource scheduling is the civil aviation airport operation command department determines the flight parking stand arrangement plan according to the use of parking stand resources. [0003] At present, the flight ground support at civil aviation airports usually takes the scheduled departure / landing time of the flight as a reference. There must be no operational conflicts in the planning schedule and a certain time interval is reserved as a margin. On the one hand, the starting and ending points of flight support operations and the occupation of apron resources are often the arrival / departure of...

AI Technical Summary

Problems solved by technology

[0005] figure 1 The two groups of flights on the left seem to have arranged enough time intervals, but in actual operation, the departure of the first group of flights is frequently delayed, and the latter group of flights always arrives in advance, which causes the actual operation Conflict and passive adjustment of two sets of flights

[0006] figure 1 The two groups of flights on the right seem to overlap in time, and it is impossible to combine and connect; but in actual operation, the first group of flights always takes off ahead of time, and the latter group of flights always arrives late, which causes the two groups of flights to Missed the chance of normal connection in actual operation

[0007] The reason for the above problems is that the current parking stand resource arrangement usually uses the planned time as a reference, and this reference value has a large error in actual operation; no matter how large the interval or protection margin is set, how advanced the combination algorithm is adopted , are unable to adapt to the actual operation

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