CN107464203A - The computational methods of peak hour flow between a kind of airport pair - Google Patents
The computational methods of peak hour flow between a kind of airport pair Download PDFInfo
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- CN107464203A CN107464203A CN201710516011.9A CN201710516011A CN107464203A CN 107464203 A CN107464203 A CN 107464203A CN 201710516011 A CN201710516011 A CN 201710516011A CN 107464203 A CN107464203 A CN 107464203A
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- 238000000205 computational method Methods 0.000 title claims abstract description 16
- 238000012545 processing Methods 0.000 claims abstract description 5
- VUFNLQXQSDUXKB-DOFZRALJSA-N 2-[4-[4-[bis(2-chloroethyl)amino]phenyl]butanoyloxy]ethyl (5z,8z,11z,14z)-icosa-5,8,11,14-tetraenoate Chemical compound CCCCC\C=C/C\C=C/C\C=C/C\C=C/CCCC(=O)OCCOC(=O)CCCC1=CC=C(N(CCCl)CCCl)C=C1 VUFNLQXQSDUXKB-DOFZRALJSA-N 0.000 claims description 3
- 238000000034 method Methods 0.000 abstract 1
- 230000009286 beneficial effect Effects 0.000 description 1
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- G06F40/18—Editing, e.g. inserting or deleting of tables; using ruled lines of spreadsheets
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- G—PHYSICS
- G08—SIGNALLING
- G08G—TRAFFIC CONTROL SYSTEMS
- G08G5/00—Traffic control systems for aircraft, e.g. air-traffic control [ATC]
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Abstract
The present invention discloses a kind of computational methods of peak hour flow between airport pair, comprises the following steps：Step 1, the FPL messages of annual flight plan are obtained and are processed into Excel file, filter out the information of needs；Step 2, according to the Excel file after processing, the specifying information of every frame airborne vehicle is obtained, counts and determines annual 365 days daily flows；Step 3, the annual maximum flow of one day is obtained, it is calculated and accounts for the ratio of annual flow, i.e. maximum number of days ratio；Step 4, the data of one day of maximum flow are obtained, count flow hourly；Step 5, obtain one hour maximum flow of whole day, calculate it and account for whole day ratio, i.e., maximum hour ratio；Step 6, peak hour flow ratio is calculated；Step 7, the annual data on flows between airport pair is obtained；Step 8, peak hour flow between calculating airport pair, i.e. peak hour flow ratio are multiplied with annual flow.Such a method can provide data support to calculate the peak hour flow of specific airport pair.
Description
Technical field
The invention belongs to the peak hour flow between airport pair to count field, the peak hour between more particularly to a kind of airport pair
The computational methods of flow.
Background technology
Annual flow refers to the annual traffic trip amount between airport pair between airport pair, and peak hour flow referred in one day
There is the flow of that hour of peak value in flow.
With the development of civil aviaton's cause, airborne vehicle increasing number, leg and route grid node all easily cause congestion, lead to
Calculating airport is crossed to peak hour flow, route grid node day part flow distribution is analyzed, can be to calculate route grid section
The bottleneck discharge in period of time of point provides data and supported, scientifically builds for route grid, improves China future spatial domain power system capacity and carry
For scientific basis.
The content of the invention
The purpose of the present invention, be to provide a kind of computational methods of peak hour flow between airport pair, its can be calculate it is special
The peak hour flow for determining airport pair provides data support.
In order to reach above-mentioned purpose, solution of the invention is：
The computational methods of peak hour flow, comprise the following steps between a kind of airport pair：
Step 1, the FPL messages of annual flight plan are obtained and are processed into Excel file, filter out the information of needs；
Step 2, according to the Excel file after processing, the specifying information of every frame airborne vehicle is obtained, counts and determines whole year 365
Its daily flow；
Step 3, the annual maximum flow of one day is obtained, it is calculated and accounts for the ratio of annual flow, i.e. maximum number of days ratio；
Step 4, the data of one day of maximum flow are obtained, count flow hourly；
Step 5, obtain one hour maximum flow of whole day, calculate it and account for whole day ratio, i.e., maximum hour ratio；
Step 6, peak hour flow ratio, i.e. maximum number of days ratio and maximum hour ratio product are calculated；
Step 7, the annual data on flows between airport pair is obtained；
Step 8, peak hour flow between calculating airport pair, i.e. peak hour flow ratio are multiplied with annual flow.
In above-mentioned steps 1, it is necessary to information include airport to, time of every frame airborne vehicle and geographical location information.
In above-mentioned steps 1, Excel file is stored with the traffic form on every one airport pair of row.
The detailed content of above-mentioned steps 1 is：The FPL messages of annual flight plan are obtained from units concerned of civil aviation authority first,
Excel file is processed into, in units of day, is saved as 365 files；Then programmed using C#, Excel file is filtered out
The information needed.
In above-mentioned steps 2, C# program cycles read 365 files, and record each file data on flows.
The detailed content of above-mentioned steps 3 is：C# programs the data for finding out maximum flow, and 365 data summations are drawn
Annual flow, both are divided by the i.e. maximum flow flow proportional of one day.
The detailed content of above-mentioned steps 4 is：C# program cycles read every a line of data file, judge often to go successively when
Between, add in the traffic statistics of corresponding hour.
The detailed content of above-mentioned steps 5 is：C# programs the data for finding out maximum flow, and is divided by with whole day flow, that is, flows
The maximum one hour flow proportional of amount.
In above-mentioned steps 7, the annual data on flows between airport pair is obtained by any one following approach；
A) obtained by official website of Civil Aviation Administration of China；
B) publishing house of CAAC is passed through《Civil aviaton by the statistics》Obtained in data.
After such scheme, the present invention obtains FPL messages and the whole year of specific airport pair of annual flight plan first
Flow；Secondly the FPL Message processings of flight plan into Excel file and are extracted into the flow proportional of peak hour；Finally, calculate
Go out the peak hour flow of specific airport pair.The present invention provides data to want to calculate the peak hour flow of specific airport pair
Support, and then air route can be optimized, congestion is reduced, improve route grid utilization rate, mitigate controller's load, to improve China not
Carry out spatial domain power system capacity and scientific basis is provided.
Brief description of the drawings
Fig. 1 is the flow chart of the present invention.
Embodiment
Below with reference to accompanying drawing, technical scheme and beneficial effect are described in detail.
As shown in figure 1, the present invention provides a kind of computational methods of peak hour flow between airport pair, comprise the following steps：
Step 1, the FPL messages of annual flight plan are obtained and are processed into Excel file, filter out airport as needed
To, time of every frame airborne vehicle, geographical location information etc..
Specifically, the FPL messages of annual flight plan are obtained from units concerned of civil aviation authority first, are processed into
Excel file (in units of day, is saved as 365 files).Programmed using C#, Excel file is filtered out to the airport pair of needs
And its airborne vehicle landing time and landing airport etc..
Step 2, according to the Excel file after processing, the specifying information of every frame airborne vehicle is obtained, counts and determines whole year 365
Its daily flow.
C# program cycles read 365 files, and record each file data on flows.Excel file is with every row one
The traffic form storage on airport pair, therefore the uninterrupted data of the line number, the i.e. same day of each file of reading.
Step 3, the annual maximum flow of one day is obtained, it is calculated and accounts for the ratio of annual flow, i.e. maximum number of days ratio；
C#, which is programmed, finds out the data of maximum flow, and draws annual flow to 365 data summations, and both are divided by i.e. flow
Maximum one day flow proportional.
Step 4, the data of one day of maximum flow are obtained, count flow hourly；
C# program cycles read every a line of data file, judge the time often gone successively, add the flow of corresponding hour
In statistics.
Step 5, obtain one hour maximum flow of whole day, calculate it and account for whole day ratio, i.e., maximum hour ratio.
C# programs the data for finding out maximum flow, and is divided by with whole day flow, i.e. the maximum flow flow proportional of one hour.
Step 6, peak hour flow ratio, i.e. maximum number of days ratio and maximum hour ratio product are calculated；
Maximum number of days ratio in step 3 is multiplied with the maximum hour ratio in step 5, obtains peak hour ratio.
Step 7, the annual data on flows between airport pair is obtained；
Acquiring way has following two：
A) (http is obtained by official website of Civil Aviation Administration of China://www.caac.gov.cn)；
B) publishing house of CAAC is passed through《Civil aviaton by the statistics》Obtained in data；
The annual airport to be calculated is got to flow by any one above-mentioned approach.
Step 8, peak hour flow between calculating airport pair, i.e. peak hour flow ratio are multiplied with annual flow.
Peak hour flow ratio in step 6 is multiplied with the annual data on flows that the selected approach in step 7 obtains,
Obtain peak hour flow.
The technological thought of above example only to illustrate the invention, it is impossible to protection scope of the present invention is limited with this, it is every
According to technological thought proposed by the present invention, any change done on the basis of technical scheme, the scope of the present invention is each fallen within
Within.
Claims (9)
1. the computational methods of peak hour flow between a kind of airport pair, it is characterised in that comprise the following steps：
Step 1, the FPL messages of annual flight plan are obtained and are processed into Excel file, filter out the information of needs；
Step 2, according to the Excel file after processing, the specifying information of every frame airborne vehicle is obtained, statistics 365 days whole years of determination are often
Its flow；
Step 3, the annual maximum flow of one day is obtained, it is calculated and accounts for the ratio of annual flow, i.e. maximum number of days ratio；
Step 4, the data of one day of maximum flow are obtained, count flow hourly；
Step 5, obtain one hour maximum flow of whole day, calculate it and account for whole day ratio, i.e., maximum hour ratio；
Step 6, peak hour flow ratio, i.e. maximum number of days ratio and maximum hour ratio product are calculated；
Step 7, the annual data on flows between airport pair is obtained；
Step 8, peak hour flow between calculating airport pair, i.e. peak hour flow ratio are multiplied with annual flow.
2. the computational methods of peak hour flow between a kind of airport pair as claimed in claim 1, it is characterised in that：The step
In 1, it is necessary to information include airport to, time of every frame airborne vehicle and geographical location information.
3. the computational methods of peak hour flow between a kind of airport pair as claimed in claim 1, it is characterised in that：The step
In 1, Excel file is stored with the traffic form on every one airport pair of row.
4. the computational methods of peak hour flow between a kind of airport pair as claimed in claim 1, it is characterised in that：The step
1 detailed content is：The FPL messages of annual flight plan are obtained from units concerned of civil aviation authority first, are processed into Excel texts
Part, in units of day, it is saved as 365 files；Then programmed using C#, Excel file is filtered out to the information of needs.
5. the computational methods of peak hour flow between a kind of airport pair as claimed in claim 1, it is characterised in that：The step
In 2, C# program cycles read 365 files, and record each file data on flows.
6. the computational methods of peak hour flow between a kind of airport pair as claimed in claim 1, it is characterised in that：The step
3 detailed content is：C# programs the data for finding out maximum flow, and draws annual flow to 365 data summations, and both are divided by
That is the maximum flow flow proportional of one day.
7. the computational methods of peak hour flow between a kind of airport pair as claimed in claim 1, it is characterised in that：The step
4 detailed content is：C# program cycles read every a line of data file, judge the time often gone successively, add corresponding hour
Traffic statistics in.
8. the computational methods of peak hour flow between a kind of airport pair as claimed in claim 1, it is characterised in that：The step
5 detailed content is：C# programs the data for finding out maximum flow, and is divided by with whole day flow, i.e. the maximum flow stream of one hour
Amount ratio.
9. the computational methods of peak hour flow between a kind of airport pair as claimed in claim 1, it is characterised in that：The step
In 7, the annual data on flows between airport pair is obtained by any one following approach；
A) obtained by official website of Civil Aviation Administration of China；
B) publishing house of CAAC is passed through《Civil aviaton by the statistics》Obtained in data.
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| CN201710516011.9A CN107464203A (en) | 2017-06-29 | 2017-06-29 | The computational methods of peak hour flow between a kind of airport pair |
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Cited By (1)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN113838310A (en) * | 2021-09-16 | 2021-12-24 | 民航数据通信有限责任公司 | Flight plan increment obtaining method and device for airspace simulation evaluation |
Citations (2)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN102243816A (en) * | 2011-04-27 | 2011-11-16 | 南京航空航天大学 | Computation method of maximum longitudinal flight conflict risk of airport airspace |
| CN105809280A (en) * | 2016-03-03 | 2016-07-27 | 南京航空航天大学 | Prediction method for airport capacity demands |
-
2017
- 2017-06-29 CN CN201710516011.9A patent/CN107464203A/en active Pending
Patent Citations (2)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN102243816A (en) * | 2011-04-27 | 2011-11-16 | 南京航空航天大学 | Computation method of maximum longitudinal flight conflict risk of airport airspace |
| CN105809280A (en) * | 2016-03-03 | 2016-07-27 | 南京航空航天大学 | Prediction method for airport capacity demands |
Non-Patent Citations (1)
| Title |
|---|
| 王罗平 等: "城际轨道交通高峰小时流量预测方法研究", 《河南科技》 * |
Cited By (2)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN113838310A (en) * | 2021-09-16 | 2021-12-24 | 民航数据通信有限责任公司 | Flight plan increment obtaining method and device for airspace simulation evaluation |
| CN113838310B (en) * | 2021-09-16 | 2023-09-05 | 民航数据通信有限责任公司 | Flight plan increment acquisition method and device for airspace simulation evaluation |
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