A dynamic collaborative scheduling method for departure flights

By using a dynamic collaborative sorting method and combining SOBT and EOBT data, a multi-objective optimization model was established to solve the dynamic and collaborative problems in departing flight sorting, thereby reducing flight delays, increasing runway capacity, and improving fairness.

CN112927561BActive Publication Date: 2026-05-29NANJING UNIV OF AERONAUTICS & ASTRONAUTICS
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Patent Information

Authority / Receiving Office
CN Β· China
Patent Type
Patents(China)
Current Assignee / Owner
NANJING UNIV OF AERONAUTICS & ASTRONAUTICS
Filing Date
2021-01-20
Publication Date
2026-05-29

AI Technical Summary

Technical Problem

Existing technologies lack dynamism and coordination in departing flight sequencing, failing to effectively optimize the needs of multiple parties, resulting in flight delays and underutilization of runway capacity, and lacking consideration for fairness.

Method used

A dynamic collaborative ranking method for departing flights is designed. Based on SOBT and EOBT data, a multi-objective optimization model is established to consider the needs of air traffic control, airlines, and airports. The NSGA-II algorithm is used for ranking, and flight priority and delay fairness indicators are set to construct a collaborative ranking model under traffic conditions.

Benefits of technology

This achieves dynamic and fair flight scheduling, reduces flight delays, increases runway capacity and airport on-time departure rates, and enhances fairness among airlines.

✦ Generated by Eureka AI based on patent content.

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Abstract

The application discloses a kind of off-site flight dynamic collaborative sequencing methods, specifically comprising the following steps: step 1: for different traffic states of airport, respectively establish off-site flight collaborative sequencing model;Step 2: by dynamic method, obtain the off-site flight list to be sequenced of to-be-sequenced period;And determine the traffic state of to-be-sequenced period airport;Step 3: the off-site flight list to be sequenced obtained in step 2 is input into the off-site flight collaborative sequencing model corresponding to the traffic state of to-be-sequenced period airport, solves off-site flight collaborative sequencing model, obtains flight sequencing.The application provides a kind of method for realizing off-site flight dynamic collaborative sequencing, the method fits collaborative decision-making concept, comprehensively considers the benefit demand of control unit, airline and airport three parties, can carry out optimization sequencing to off-site flight, guarantees the dynamicity of flight sequencing, significantly reduces flight delay, effectively improves fairness.
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