A Collaborative Optimization Method for Advance Flight Slots Oriented to Regional Networks

Abstract

The invention discloses a regional network-oriented advance flight time collaborative optimization method, which firstly considers flight take-off and landing time, delay status, VIP situation and follow-up flight plan to design priority rules for incoming and outgoing flights, and then bases on each airport in the area Takeoff and landing flight plan information, trajectory prediction information, and airport and sector capacity information to obtain the time distribution of airport and sector flow demand and allocate the time slice capacity of the airport and sector accordingly, and finally meet the airport capacity, airport arrival and departure Under the premise of rate and sector capacity constraints, the measures of ground waiting and flight slot reduction are comprehensively adopted, and the flight slots are heuristically optimized based on priority rules to rationally allocate existing time slot resources. Screen the sample data of four airports in North China to verify the present invention. The results show that the invention can effectively improve the flow capacity balance, make full use of sector hour capacity and flight time slot resources, and effectively reduce flight time delays.

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, allocates capacity proportionally according to time slice flow distribution, and optimizes flight schedules in combination with ground waiting and flight reduction measures

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