An optimization method for flight airport surface operation considering the waiting time at runway gate

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 scene optimization, and in particular relates to a method for optimizing flight airport scene operation considering the waiting time at runway crossings. Background technique [0002] With the rapid development of the air transport industry, the scale of airports has also continued to expand, and the problems of airport surface operations have become increasingly complex, resulting in frequent congestion and large-scale flight delays, and airport surface operations have become the bottleneck of flight delays. Therefore, it is necessary to optimize the airport surface operation to improve the efficiency of the airport surface operation while ensuring the safety of the operation. The airport surface operation problem refers to the process of the flight taxiing from the gate (or runway threshold) to the runway gate (or gate) under the premise of considering the flight operation efficiency (s...

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 (Route Selected Strategy; hereinafter referred to as :RSS), designed a low fuel consumption-based waiting node assignment strategy (Hold NodeAssignment Strategy; 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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