CN105336164B - The wrong bayonet socket positional information automatic identifying method analyzed based on big data - Google Patents
The wrong bayonet socket positional information automatic identifying method analyzed based on big data Download PDFInfo
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- CN105336164B CN105336164B CN201510708780.XA CN201510708780A CN105336164B CN 105336164 B CN105336164 B CN 105336164B CN 201510708780 A CN201510708780 A CN 201510708780A CN 105336164 B CN105336164 B CN 105336164B
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- G—PHYSICS
- G08—SIGNALLING
- G08G—TRAFFIC CONTROL SYSTEMS
- G08G1/00—Traffic control systems for road vehicles
- G08G1/01—Detecting movement of traffic to be counted or controlled
- G08G1/0104—Measuring and analyzing of parameters relative to traffic conditions
- G08G1/0108—Measuring and analyzing of parameters relative to traffic conditions based on the source of data
- G08G1/0116—Measuring and analyzing of parameters relative to traffic conditions based on the source of data from roadside infrastructure, e.g. beacons
Abstract
The invention discloses a kind of wrong bayonet socket positional information automatic identifying method analyzed based on big data.The present invention crosses car data according to the history bayonet socket of magnanimity, calculates adjacent bayonet socket pair, the shortest path length of adjacent bayonet socket pair is calculated with reference to GIS map data, and calculate vehicle passage rate between bayonet socket pair according to car data is crossed.Find out the bayonet socket of positional information mistake to overall travel speed exception, abnormal frequency iteration between shortest path exception, bayonet socket pair according to bayonet socket successively.The present invention crosses car data using real bayonet socket, and with the features such as data volume is big, data accuracy is high, the accuracy of the wrong bayonet socket positional information come out thus according to the attributive analysis for crossing car data is high.The present invention realizes automatic identification mistake bayonet socket positional information, and with performing that speed is fast, accuracy is high, high efficiency the features such as.Avoid substantial amounts of artificial examination work.
Description
Technical field
The invention belongs to data mining technical field, and in particular to a kind of wrong bayonet socket position analyzed based on big data
The automatic identifying method of information.
Background technology
With economic and society development, after particularly Chinese 18 is big, urbanization process accelerates, and city size is continuous
Expand, urban population continues to increase, and city automobile recoverable amount is skyrocketed through, and the automobile in particularly big city and megalopolis is possessed
Amount nearly reaches peak value.Because the basic capacity of urban road is limited, traffic loading degree is caused constantly to increase, traffic congestion
It is seen everywhere, traffic problems have become the livelihood issues of a generally existing.
With the proposition of " internet+", wisdom traffic is also pushed to a new climax.Bayonet socket data are used as traffic data
One of important component, Real-time Road passage rate is calculated, traffic load is calculated, in terms of vehicle behavior patterns mining
It is widely applied.The positional information that bayonet socket is can be found that when carrying out experimental study to existing bayonet socket data is very crucial
Basic data, once these positional informations malfunction, based on bayonet socket cross car information data mining and big data analysis will produce
Raw serious misleading consequence, has a strong impact on the correctness and reliability of data analysis, cause for bayonet socket data analysis and
Research can not be smoothed out, because bayonet socket is large number of, up to tens thousand of, and be distributed in each corner in city, if by
Manually examine and compare one by one, substantial amounts of artificial and transport cost will be expended, and the bayonet socket positional information of most of mistake is difficult
By manually going to find and excluding.
How by the means of data analysis, automatically existence position is identified in tens thousand of bayonet socket positional informations
Those larger bayonet sockets of information errors suspicion, then examined and compare by manual site, it will substantially reduce artificial expense and time.
The content of the invention
In view of the deficiencies of the prior art, the present invention provides a kind of wrong bayonet socket positional information analyzed based on big data certainly
Dynamicization recognition methods.
So-called bayonet socket refers to the road monitoring point for being provided with traffic monitoring apparatus in the present invention, is used for adopting for car data
Collection, excessively car data refer to the vehicle by bayonet socket, and the information of vehicles collected by bayonet socket includes " number-plate number ", " card of vehicle
Mouth numbering " and " spending the car time "；Adjacent bayonet socket is to referring to physical location is adjacent, can successively be sequentially passed through by vehicle bayonet socket pair.
The central scope of technical solution of the present invention：Car data is crossed according to the history bayonet socket of magnanimity, adjacent bayonet socket pair is calculated,
The shortest path length of adjacent bayonet socket pair is calculated with reference to GIS map data, and vehicle is calculated between bayonet socket pair according to car data is crossed
Passage rate.Position is found out to overall travel speed exception, abnormal frequency iteration between shortest path exception, bayonet socket pair according to bayonet socket successively
The bayonet socket of information errors.
The inventive method comprises the following steps：
Step (1) imports bayonet socket data, bayonet socket in database and crosses car data, map datum, and bayonet socket packet contains field
There is bayonet socket to number (KKBH), longitude (JD), latitude (WD), bayonet socket crosses car data has brand number (HPHM), bayonet socket comprising field
Number (KKBH), cross the car time (GCSJ), map datum comprising field have ID (section major key), starting longitude and latitude (first_JD,
First_WD), intermediate point longitude and latitude (center_JD, center_WD), terminal longitude and latitude (end_JD, end_WD).
Step (2) given thresholds, there is car amount threshold value GCL_max, path length threshold LJCD_max, big speed respectively
Threshold value DSD_max, small threshold speed XSD_min, velocity anomaly rate threshold value SDYCL_max, suspicion bayonet socket threshold X YKK_max.
Step (3) reads the bayonet socket of a period of time and crosses car data, if being more than by the car amount of crossing between two adjacent bayonet sockets
Bayonet socket crosses car amount threshold value GCL_max, then the two bayonet sockets are defined as adjacent bayonet socket pair.
Step (4) goes out shortest path length according to the positional information of adjacent bayonet socket pair along GIS map path computing.
Step (5) is if the path length for the adjacent bayonet socket pair that steps (4) are calculated is more than path length threshold LJCD_
Max, then by this bayonet socket to regarding as suspicion bayonet socket pair, and its information is stored in database.
Step (6) reads the bayonet socket of a period of time and crosses car data, according to the phase for crossing car time difference and process for crossing car data
The path length of adjacent bayonet socket pair calculates the speed that the car passes through adjacent bayonet socket pair, judges whether speed is more than big threshold speed
DSD_max or less than small threshold speed XSD_min, and record its quantity and total cross car amount.
Step (7) accounts for always to cross if vehicle is more than velocity anomaly rate threshold value SDYCL_max if velocity anomaly quantity regards as this
Its information is stored in database to for suspicion bayonet socket pair by bayonet socket.
Step (8) repeat steps (5), step (6) are for several times；Suspicion bayonet socket in staqtistical data base, draws identical suspicion card
The frequency of mouth, if the frequency is more than suspicion bayonet socket threshold X YKK_max, assert the bayonet socket that this bayonet socket is errors present information.
The device have the advantages that：The present invention crosses car data using real bayonet socket, with data volume is big, data are accurate
The features such as really property is high, the accuracy of the wrong bayonet socket positional information come out thus according to the attributive analysis for crossing car data is high.This hair
It is bright to realize automatic identification mistake bayonet socket positional information, and with performing that speed is fast, accuracy is high, high efficiency the features such as.Keep away
Substantial amounts of artificial examination work is exempted from.
Brief description of the drawings
Fig. 1 is the flow chart for recognizing errors present information bayonet socket.
Embodiment
Below in conjunction with accompanying drawing, the invention will be further described.As shown in figure 1, the present invention comprises the following steps：
Step (1) data prepare：Bayonet socket data, bayonet socket are imported in database and cross car data, map datum, bayonet socket number
There is bayonet socket to number (KKBH), longitude (JD), latitude (WD) according to comprising field, bayonet socket crosses car data has brand number comprising field
(HPHM), bayonet socket numbers (KKBH), spends the car time (GCSJ), and map datum has ID (section major key), starting longitude and latitude comprising field
Spend (first_JD, first_WD), intermediate point longitude and latitude (center_JD, center_WD), terminal longitude and latitude (end_JD,
end_WD)。
Step (2) trains adjacent bayonet socket to (training data is the car data excessively of 1-3 hour)：
2-1. initializes map grid：Map is divided into square net by certain length of side (setting the length of side to be 100-200 meters),
If the midpoint latitude and longitude coordinates of certain road are in some square mesh, then it is assumed that the road is located in the mesh, by the road
ID is put into the mesh corresponding " mesh-road mapping table " (as shown in table 3), and key numbers for mesh, and value is road ID
Set；If without corresponding " mesh-road mapping table ", for newly-built one of mesh empty " mesh-road mapping table ", and
It is put into road ID.
Table 3
2-2. creates bayonet socket to mapping table map (as shown in table 2), and key is that bayonet socket to numbering, (numbered, and B bayonet sockets are compiled by A bayonet sockets
Number), value is { crossing car amount, path length, big speed number, small speed number, suspicion mark }, and map is designated as { K1, K2 }
{gcl,ljcd,dsd,xsd,flag}。
Table 2
2-3. given thresholds, there is car amount threshold value GCL_max, path length threshold LJCD_max, big threshold speed respectively
DSD_max, small threshold speed XSD_min, velocity anomaly rate threshold value SDYCL_max, suspicion bayonet socket threshold X YKK_max (such as tables 4
It is shown).
Table 4
2-4. presses " number-plate number ", and the ascending order of " spending the car time " reads bayonet socket and crosses car data (training data, generally higher than 1
Individual hour), each is recorded as { " license plate number ", " bayonet socket numbering ", " spending the car time " }, is designated as --- car record { h, K, t } is crossed,
Wherein h represents " license plate number ", and K represents " bayonet socket numbering ", and t is represented " spending the car time ".
2-5. reads next and crosses car data, and current record is { h2, K2, t2 }, and upper one is recorded as { h1, K1, t1 }, such as
Fruit h2==h1, then search bayonet socket to whether there is the record that key is { K1, K2 } in mapping table map, in bayonet socket if being not present
Record to newly-built { K1, K2 } in mapping table map and value initial value is set to 0 entirely, if in the presence of if by bayonet socket to mapping table
Gcl in map in { K1, K2 } record adds 1, judges whether gcl was more than car amount threshold value GCL_max, and step is skipped to if being more than
2-6, the repeat step 2-5 if being not more than are until all car datas excessively read to finish and skip to step 2-7.
2-6. calculates path length：According to { K1, K2 } two bayonet socket latitude and longitude coordinates, the side that two bayonet sockets are located at is calculated respectively
Shape grid, all road ID are drawn according to " mesh-road mapping table " in 2-1, are calculated the distance of bayonet socket and each road, are found out
The minimum road of distance, then it is assumed that the bayonet socket is located at the road, then using square net where two bayonet sockets as diagonal end points, it is determined that
" the current rectangular area " of two bayonet sockets, the connectivity in the section in " current rectangular area " calculates the length in the path.
2-7. finally obtains adjacent bayonet socket to set map.
The wrong bayonet socket (experimental data, general 5-10 minutes data) of step (3) identifications：
The gcl of all records in map is set to 0 (needing to count gcl again after changing experimental data) by 3-1., by " car plate
Number ", the ascending order of " cross car time " reads bayonet socket and crosses car data, reads next and crosses car data, current record for h2, K2,
T2 }, upper one is recorded as { h1, K1, t1 }, if h2==h1, searches bayonet socket to being with the presence or absence of key in mapping table map
The record of { K1, K2 }, if there is gcl+1 and the travel speed of vehicle adjacent bayonet socket pair herein is calculated according to formula (1).
Sd=ljcd/ | t2-t1| (1)
Wherein sd represents the overall travel speed between bayonet socket { K1, K2 }, and ljcd is bayonet socket to a word in mapping table map
Section, implies that the shortest path between bayonet socket { K1, K2 }, t2,t1It was the time that vehicle passes through bayonet socket K1, K2 during car is recorded.
Judge whether sd is more than big threshold speed DSD_max, if sd>DSD_max, then the dsd of the record adds 1 in map, no
Then judge whether sd is less than small threshold speed XSD_min, if sd<XSD_min, then the xsd of the record adds 1 in map, otherwise continues
Read next and cross car data until all data have all been handled.
3-2. reads the record in map in order, judges whether the path length of the record is more than path length threshold, if
ljcd>Suspicion mark flag is then set to 1 by LJCD_max, is calculated respectively shown in big speed in frequency dr such as formula (2),
Shown in the frequency xr such as formula (3) of small speed,
(GCL crosses car amount threshold value for this period), if dr>SDYCL_max or xr>SDYCL_max, then by the suspicion of the record
Doubt mark flag and be set to 1.
3-3. repeats 3-2 until all records are all disposed in map, by flag in map>0 all records are stored in number
According in tables of data BAYONET_PAIR in storehouse.
The car data of crossing that step (4) selectes different time sections is recorded, and by the dsd of all records in map, xsd, falg is set
It is set to 0, repeat step (3).
The frequency of identical bayonet socket in step (5) statistics tables BAYONET_PAIR, if the frequency is more than suspicion bayonet socket threshold
Value XYKK_max, then regard as the bayonet socket bayonet socket of positional information mistake.
Claims (1)
1. the automatic identifying method for the wrong bayonet socket positional information analyzed based on big data, it is characterised in that the specific step of this method
Suddenly it is：
Step (1) imports bayonet socket data, bayonet socket in database and crosses car data, map datum, and bayonet socket packet has card containing field
Mouth numbering KKBH, longitude JD, latitude WD, bayonet socket, which crosses car data, to be had brand number HPHM, bayonet socket numbering KKBH comprising field, crosses car
Time GCSJ, map datum has section major key, starting longitude and latitude (first_JD, first_WD), intermediate point longitude and latitude comprising field
Spend (center_JD, center_WD), terminal longitude and latitude (end_JD, end_WD)；
Step (2) given thresholds, there is car amount threshold value GCL_max, path length threshold LJCD_max, big threshold speed respectively
DSD_max, small threshold speed XSD_min, velocity anomaly rate threshold value SDYCL_max, suspicion bayonet socket threshold X YKK_max；
Step (3) reads the bayonet socket of a period of time and crosses car data, if being more than bayonet socket by the car amount of crossing between two adjacent bayonet sockets
Car amount threshold value GCL_max is crossed, then the two bayonet sockets are defined as adjacent bayonet socket pair；
Step (4) goes out shortest path length according to the positional information of adjacent bayonet socket pair along GIS map path computing；
Step (5) if the adjacent bayonet socket pair that steps (4) are calculated path length be more than path length threshold LJCD_max,
By this bayonet socket to regarding as suspicion bayonet socket pair, and its information is stored in database；
Step (6) reads the bayonet socket of a period of time and crosses car data, according to the adjacent card for crossing car time difference and process for crossing car data
Mouthful to path length calculate the speed that the car passes through adjacent bayonet socket pair, judge speed whether more than big threshold speed DSD_
Max or less than small threshold speed XSD_min, and record its quantity and total cross car amount；
Step (7) accounts for always to cross if vehicle is more than velocity anomaly rate threshold value SDYCL_max if velocity anomaly quantity regards as this bayonet socket
To for suspicion bayonet socket pair, and its information is stored in database；
Step (8) repeat steps (5), step (6) are for several times；Suspicion bayonet socket in staqtistical data base, draws identical suspicion bayonet socket
The frequency, if the frequency is more than suspicion bayonet socket threshold X YKK_max, assert the bayonet socket that this bayonet socket is errors present information.
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| CN106056912B (en) * | 2016-07-29 | 2018-10-09 | 浙江银江研究院有限公司 | A kind of bayonet operating status quantitative estimation method and system |
| CN106297293B (en) * | 2016-08-30 | 2019-01-11 | 银江股份有限公司 | A kind of overhead piecewise interval real-time speed self-adaptive computing method based on bayonet big data |
| CN106448178B (en) * | 2016-09-05 | 2019-12-20 | 青岛海信网络科技股份有限公司 | Fake-licensed vehicle analysis method and device |
| CN108242153A (en) * | 2018-03-12 | 2018-07-03 | 小草数语（北京）科技有限公司 | Abnormal bayonet recognition methods and device |
| CN108492566B (en) * | 2018-04-23 | 2019-10-29 | 泰华智慧产业集团股份有限公司 | High fault-tolerant transportation card is made a slip of the tongue the method and system that car data extracts in real time |
| CN108986478B (en) * | 2018-09-17 | 2021-06-29 | 公安部交通管理科学研究所 | Method for screening illegal vehicles at fixed points |
| CN111145572B (en) * | 2019-12-17 | 2021-12-28 | 浙江大华技术股份有限公司 | Method and apparatus for detecting abnormality of card port device, and computer storage medium |
| CN111161120B (en) * | 2019-12-20 | 2023-06-20 | 华为技术有限公司 | Bayonet position determining method and bayonet management device |
| CN111223305B (en) * | 2019-12-25 | 2022-05-17 | 华为技术有限公司 | Method and device for detecting illegal card involvement |
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