Automatic seat distributing method adapting to flight schedule abnormity

Abstract

The invention discloses an automatic seat distributing method adapting to flight schedule abnormity. The method comprises the following steps: S1, acquiring usable seat information; S2, providing a seat set which can be matched with each flight; S3, calculating matching superiority score of each flight and the corresponding seat matched with the flight; and S4, selecting a matchable seat for eachflight, listing all situations of corresponding each flight to the corresponding seat, calculating the sum of the matching superiority scores of all the flights and the seats under the different situations, and taking the situation in which the sum of the matching superiority scores of all the flights and the seats is a maximum value as a final seat distributing scheme. By the automatic seat distributing method adapting to flight schedule abnormity, complicated circumstances that seats are wasted or insufficient due to accidents of delay, advance, canceling and the like of flights can be handled, and meanwhile, the registration time of travelers is saved.

Description

technical field [0001] The invention relates to an automatic seat allocation method adapted to abnormal flight itineraries, and belongs to the technical field of civil aviation ground handling service methods. Background technique [0002] Improving the utilization rate of parking stand resources, reducing the manpower workload of parking stand allocation, and realizing the intelligentization of parking stand allocation are topics that are constantly being discussed in the field of civil aviation. The method in the prior art still needs to optimize the final result of slot allocation, especially for delayed flights, the slot allocation results are not ideal, and the actual needs of the airport have not been fully considered. Flight delays, advances, cancellations, etc. due to weather and other factors will invalidate the original seat allocation, resulting in a series of problems such as non-use of seats, seat occupancy, and seat conflicts. [0003] Various actual condition...

AI Technical Summary

Problems solved by technology

The method in the prior art still needs to optimize the final result of seat allocation, especially for delayed flights, the result of seat allocation is not ideal, and the actual needs of the airport have not been fully considered

Flight delays, advances, and cancellations due to weather and other factors will invalidate the original seat allocation, resulting in a series of problems such as non-use of seats, seat occupancy, and seat conflicts.

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