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Single airport flight season change time slot optimization method based on historical operation data driving

A technology of historical operating data and optimization methods, applied in the field of civil aviation

Active Publication Date: 2018-04-20
NANJING UNIV OF AERONAUTICS & ASTRONAUTICS
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

At present, researchers at home and abroad mainly focus on the optimization of pre-tactical and tactical flight slots, and few researchers pay attention to the problem of slot optimization for flight seasons.

Method used

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  • Single airport flight season change time slot optimization method based on historical operation data driving
  • Single airport flight season change time slot optimization method based on historical operation data driving
  • Single airport flight season change time slot optimization method based on historical operation data driving

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Embodiment Construction

[0063] The solutions of the present invention will be described below in conjunction with specific embodiments.

[0064] In order to scientifically and rationally plan flight season change time slots, the present invention proposes a single-airport flight season change time slot optimization method driven by historical operating data. In a specific embodiment, the method is carried out according to the following steps.

[0065] Step 1: Read in historical data information:

[0066] Step 1.1: Read the plan information of all flights in the season, and read the flight number, model, departure airport, planned departure time, landing airport, and planned landing time in the flight plan.

[0067] Step 1.2: Read in the historical operation data information of each month of the flight season in the previous year, and read the operation day, flight number, planned departure time, planned landing time, actual departure time, and actual landing time of all flights in the original data ...

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Abstract

The invention discloses a single airport flight season change time slot optimization method based on historical operation data driving. The method comprises the following steps of 1) acquiring historical data information; 2) preprocessing acquired historical operation data; 3) constructing an optimization model of data driving, firstly, according to distribution of flight to a time slot, defininga 0-1 type integer decision variable, then, based on historical real operation data, taking a minimized deviation airline company request time and flight delay as a target and establishing a minimizedtarget function, and then, determining a constraint condition, and acquiring the optimization model of data driving; and 4) according to the established optimization model of data driving, using a cutting plane method to solve and acquiring optimal distribution of a season change flight time slot. By using the single airport flight season change time slot optimization method based on the data driving, a quantitative auxiliary decision tool is provided for a flight plan making manager and the flight season change time slot can be programmed scientifically and reasonably.

Description

technical field [0001] The invention belongs to the technical field of civil aviation, and specifically relates to a flight time slot optimization driven by historical operation data, and more specifically relates to a single-airport flight time slot optimization driven by historical operation data. Background technique [0002] In recent years, China's civil aviation transportation industry has developed rapidly, and contradictions have become increasingly prominent. Flight time slot resources are in short supply, flight punctuality cannot be guaranteed, and large-scale flight delays occur from time to time. Factors such as weather and traffic control are the direct cause of flight delays, but the root cause is the contradiction between demand and capacity. Many hub airports in China are in a state of capacity saturation or even oversaturation. The number of flight schedules has already exceeded the maximum guaranteed capacity of the airport. They cannot resist the impact o...

Claims

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Application Information

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IPC IPC(8): G06Q10/04G06Q10/06G06Q50/30
CPCG06Q10/04G06Q10/06312G06Q50/40
Inventor 曾维理任禹蒙赵征胡明华李娟赵子瑜孙煜时余婧梁枫洁
Owner NANJING UNIV OF AERONAUTICS & ASTRONAUTICS
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