Early flight time collaborative optimization method for area network

Abstract

The invention discloses an early flight time collaborative optimization method for an area network. The method comprises the steps of firstly designing an approach and departure flight priority rule through comprehensively considering the takeoff and landing time of a flight, a delay condition, a passenger condition and a subsequence flight plan; then acquiring traffic requirement time distribution of an airport and a section based on the approach and departure flight plan information, track prediction information and airport and section capacity information of each airport in the section, andaccordingly distributing time fragment capacities of the airports and the sections; and at last, performing heuristic optimization on the flight time based on the priority rule by comprehensively adopting ground holding and flight time reduction measures under the premise of meeting the airport capacities, approach and departure rates of the airports, and the limitation on the section capacities,and reasonably distributing existing time slot resources. The sample data of the four airports in the North China area is screened for verifying the method provided by the invention. A result shows that the capacity-traffic balance situation can be effectively improved, the hour capacities of the sections and the flight time slot resources are fully utilized, and the delay degree of the flight time is effectively reduced.

Description

technical field [0001] The invention belongs to the field of strategic air traffic flow management, and in particular relates to an area network-oriented advanced flight time collaborative optimization method. Background technique [0002] In air traffic flow management, scientifically and rationally formulating flight time can not only efficiently use limited airport and airspace resources, but also increase flight flow; reduce the transportation pressure and air traffic conflicts and congestion during the busy period of the airport, and improve aviation safety; It can reduce waiting and diversion in the air, increase the economic benefits of airlines, enhance the image and reputation of airlines; it can also straighten out airport operations, improve airport operation efficiency, and facilitate passenger travel, which has very important theoretical and practical significance. [0003] The principle of flight slot optimization is to analyze the capacity constraints of vario...

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Problems solved by technology

[0004] Relevant data show that no heuristic method has been found that simultaneously constrains airport takeoff capacity, airport landing capacity, and sector capacity, a

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