Flight airport scene operation optimization method considering runway port waiting time

Abstract

The invention discloses a flight airport scene operation optimization method considering runway port waiting time and belongs to the flight airport scene optimization technology field. The method comprises the following steps of firstly, establishing a MAGMO model and simultaneously optimizing slipping time and runway port waiting takeoff time; then, designing an RSS strategy so as to distribute paths for all the flights and distributing launch time for a departing flight; simultaneously, according to a waiting node, distributing a strategy HNAS, selecting the mode in the path for the flight and distributing waiting time so as to obtain an optimal solution to double target airport scene optimization. Priorities of the flights, fairness among flights and an influence to environment are fully considered, and safety, orderliness and high efficiency of a scene flight flow are ensured. By using the method of the invention, safety of the whole flights can be increased and flight conflicts can be effectively avoided to some extent. Simultaneously a potential safety hazard, fuel oil consumption and environment pollution brought by long time waiting of a lot of flights can be prevented.

Description

Technical field [0001] The invention belongs to the technical field of aviation airport surface optimization, and specifically relates to a flight airport surface operation optimization method considering the waiting time of the runway opening. Background technique [0002] With the rapid development of the air transportation industry, the scale of airports has also continued to expand. The problem of flight airport scene operations has become increasingly complex, resulting in crowded scenes and large-scale flight delays. Airport scene operations have become the bottleneck of flight delays. Therefore, it is necessary to optimize the airport surface operation to improve the airport surface operation efficiency while ensuring the safety of operation. The problem of flight airport surface operation refers to the process of a flight taxiing from a stand (or runway opening) to a runway opening (or stand) under the premise of considering flight operation efficiency (such as time, fuel...

AI Technical Summary

Problems solved by technology

[0005] The purpose of the present invention is to solve the above-mentioned problems that exist in the prior art, set up the MAGMO model with the minimum optimization taxiing time and runway threshold waiting time as the target, and design the heuristic optimization method of the double-objective operation of the airport scene at the double-objective, This method not only considers the safety interval between two flights, but also designs a route selection strategy (RouteSelectedStrategy; hereinafter referred to as: RSS), designed a low fuel consumption-based waiting node assignment strategy (HoldNodeAssignmentStrategy; hereinafter referred to as: HNAS), so as to obtain the optimal taxiing path and launch or landing time of the MAGMO problem model

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