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Flight-normality-oriented airline scheduling optimization method and system

A technology of airlines and optimization methods, applied in the field of air transportation, can solve problems such as the inability to break through the stereotyped thinking, large differences in scheduling results, and low scheduling efficiency, so as to optimize scheduling plans, ensure authenticity and integrity, The effect of less fuel consumption

Pending Publication Date: 2019-03-29
CIVIL AVIATION UNIV OF CHINA
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

However, at present, airlines generally carry out manual scheduling, which has natural defects: 1. The efficiency of scheduling is low and time-consuming; 2. Schedules are scheduled according to personal scheduling styles and preferences, and the scheduling results vary greatly , it is difficult to quantitatively compare
3. After the number of units is increased, small-scale additions and changes are made in the original schedule, which cannot break through the stereotyped thinking

Method used

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  • Flight-normality-oriented airline scheduling optimization method and system
  • Flight-normality-oriented airline scheduling optimization method and system
  • Flight-normality-oriented airline scheduling optimization method and system

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Experimental program
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Embodiment 2

[0092] Such as figure 2 As shown, the airline scheduling optimization system oriented to flight regularity in this embodiment includes a receiving module 1, an obtaining module 2, a generating module 3, and a returning module 4:

[0093] Wherein, the acceptance module is used to receive airline scheduling requests and submit flight parameter information;

[0094] The acquisition module 2 is used to acquire the original data of airline scheduling;

[0095] The acquisition module 3 utilizes a linear programming method to optimize and adjust the original typesetting data;

[0096] The acquisition module 4 is used to return new shift data.

[0097] Preferably, the scheduling parameters include transit time, estimated passenger flow, the element is scheduling, and the data include aircraft number, flight number, aircraft type, flight execution time, departure station, arrival station, departure station time, arrival time.

[0098] Described generation module comprises:

[009...

Embodiment 3

[0120] Preferred embodiment three, a kind of computer program that realizes the method for optimizing the airline's schedule plan facing regularity of flight,

[0121] The airline schedule optimization method for regularity of flights comprises the following steps:

[0122] Step 101, receiving airline scheduling requests and submitting flight information;

[0123] Step 102, obtaining the original data of airline scheduling;

[0124] Step 103, using the linear programming method to optimize and adjust the original typesetting data;

[0125] Step 104, returning new shift data.

[0126] Wherein the scheduling data described in step 101 includes aircraft number, flight number, departure station, arrival station, departure time, arrival time; the original scheduling data described in step 102 includes original aircraft number, original flight number, original departure Station, original arrival station, original departure time, original arrival time; Step 103 comprises:

[0127...

Embodiment 4

[0154] Preferred Embodiment 4. An information data processing terminal for implementing an airline schedule optimization method oriented to flight regularity. The airline schedule optimization method for regularity of flights comprises the following steps:

[0155] Step 101, receiving airline scheduling requests and submitting flight information;

[0156] Step 102, obtaining the original data of airline scheduling;

[0157] Step 103, using the linear programming method to optimize and adjust the original typesetting data;

[0158] Step 104, returning new shift data.

[0159] Wherein the scheduling data described in step 101 includes aircraft number, flight number, departure station, arrival station, departure time, arrival time; the original scheduling data described in step 102 includes original aircraft number, original flight number, original departure Station, original arrival station, original departure time, original arrival time; Step 103 comprises:

[0160] Step 10...

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PUM

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Abstract

The invention discloses aFlight-normality-oriented airline scheduling optimization method and system, belonging to the technical field of air transport, which is characterized in that: step 1, receiving an airline scheduling request; The flight scheduling request includes: flight number, flight number, departure station, arrival station, departure time, arrival time; 2, obtaining that original data of the airline scheduling; The original data of the shift arrangement includes: the original plane number, the original flight number, the original departure station, the original arrival station, the original departure time and the original arrival time which have been initially arranged; 3, optimizing that original typesetting data by use a linear programming method; Step 31, determining controllable factors; Step 32, determining the restrained condition; Step 33, determining the target; Step 4: Return the new scheduling data. By adopting the technical proposal, the invention can optimizethe flight plan, make the flight arrangement more reasonable, and improve the efficiency of the air transportation.

Description

technical field [0001] The invention belongs to the technical field of air transportation, and in particular relates to an airline schedule optimization method and system for flight regularity. Background technique [0002] According to the "2017 Civil Aviation Industry Development Statistical Bulletin" published by the Civil Aviation Administration, delays caused by airlines accounted for 8.62% of all delays; most of them were planned delays. Planned delay refers to the situation that delays often occur during operation due to unreasonable shift planning. However, at present, airlines generally carry out manual scheduling, which has natural defects: 1. The efficiency of scheduling is low and time-consuming; 2. Schedules are scheduled according to personal scheduling styles and preferences, and the scheduling results vary greatly , it is difficult to quantitatively compare. 3. After the number of units is increased, small-scale additions and changes are made in the origina...

Claims

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Application Information

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IPC IPC(8): G06Q10/06G06Q10/04
CPCG06Q10/04G06Q10/0631
Inventor 吕宗磊姜秀杜依娜郭家瑜曾珍妮
Owner CIVIL AVIATION UNIV OF CHINA
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