CN107093224A - Overspeed of vehicle detects data validity appraisal procedure - Google Patents
Overspeed of vehicle detects data validity appraisal procedure Download PDFInfo
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- CN107093224A CN107093224A CN201710216840.5A CN201710216840A CN107093224A CN 107093224 A CN107093224 A CN 107093224A CN 201710216840 A CN201710216840 A CN 201710216840A CN 107093224 A CN107093224 A CN 107093224A
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- 238000001514 detection method Methods 0.000 claims abstract description 124
- 238000012360 testing method Methods 0.000 claims abstract description 35
- 238000004458 analytical method Methods 0.000 claims abstract description 14
- 238000005259 measurement Methods 0.000 claims abstract description 6
- 238000011144 upstream manufacturing Methods 0.000 claims description 6
- 230000002159 abnormal effect Effects 0.000 abstract description 4
- 238000011002 quantification Methods 0.000 abstract description 4
- 238000012372 quality testing Methods 0.000 abstract description 3
- 238000007619 statistical method Methods 0.000 abstract description 2
- 230000002547 anomalous effect Effects 0.000 description 2
- 238000007689 inspection Methods 0.000 description 2
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- 230000009286 beneficial effect Effects 0.000 description 1
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- 238000005516 engineering process Methods 0.000 description 1
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- 238000011158 quantitative evaluation Methods 0.000 description 1
- 238000012502 risk assessment Methods 0.000 description 1
- 238000010200 validation analysis Methods 0.000 description 1
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- G—PHYSICS
- G07—CHECKING-DEVICES
- G07C—TIME OR ATTENDANCE REGISTERS; REGISTERING OR INDICATING THE WORKING OF MACHINES; GENERATING RANDOM NUMBERS; VOTING OR LOTTERY APPARATUS; ARRANGEMENTS, SYSTEMS OR APPARATUS FOR CHECKING NOT PROVIDED FOR ELSEWHERE
- G07C5/00—Registering or indicating the working of vehicles
- G07C5/08—Registering or indicating performance data other than driving, working, idle, or waiting time, with or without registering driving, working, idle or waiting time
- G07C5/0808—Diagnosing performance data
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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
- G08G1/052—Detecting movement of traffic to be counted or controlled with provision for determining speed or overspeed
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Abstract
The present invention provides a kind of overspeed of vehicle detection data validity appraisal procedure, and hypervelocity risk index I is assigned for the overspeed detection data that the vehicle speed detection equipment with number plate identification function is uploaded0To being carried out on the basis of overspeed detection data progress spot spe J threshold test, the consistency detection of velocity measurement, credit are detected, association is detected, it is final to determine hypervelocity risk index I, risk index is determined according to testing result, the validity of hypervelocity data is further assessed；This method detects data as analysis object using wall scroll, the quality testing that becomes more meticulous of the original measurement data in front end can be realized, and data validity is analyzed with carrying out quantification by the risk index that tests the speed, abnormal detection record can be filtered out, also can be by the unusual condition of the risk index statistical analysis corresponding device of a plurality of record.
Description
Technical field
Data validity appraisal procedure is detected the present invention relates to a kind of overspeed of vehicle.
Background technology
The current tollgate devices for realizing Vehicle Speed detection are widely used in the management and control of road traffic, automatically
The over-speed vehicles identification and investigation of change significantly reduce the Spot Enforcing intensity of traffic, while effectively specification road is handed over
Logical running order, ensures traffic safety.But trackside detection device is influenceed by various internal and external factors in application, such as network is passed
Defeated, road traffic condition, weather environment etc., it is understood that there may be data exception problem, especially because test the speed exception and caused by vehicle disobey
Chapter penalty is wrong, influences non-at-scene law enforcement effect.Effective data quality checking method is thus needed to travel speed with support vehicles
The accuracy and reliability of degree detection data.
It is currently able to realize that the mode of solo running velocity measuring is limited, such as speed of the Floating Car based on GPS location mode
The full pattern detection of detection road network vehicle difficult to realize, while the difficulty of data sharing between traffic administration all departments is limited by, because
This for the Effective judgement of the speed detection value of tollgate devices be difficult by obtain other data sources detection data carry out it is many
Source system data analysis is realized.Patent 2016101607487 proposes a kind of data quality checking method of bayonet socket detection device, its
In for wall scroll measurement data quality testing using spot spe J threshold value as standard, this method is capable of detecting when that speed is significantly abnormal
Data, but the susceptibility of anomalous identification has much room for improvement.
The content of the invention
Data validity appraisal procedure is detected it is an object of the invention to provide a kind of overspeed of vehicle, according to urban road vehicle
Following feature, driver's driving habit of traveling etc. are to the speed detection apparatus with number plate identification function that is laid on road
The overspeed of vehicle data of upload carry out validation checking, using risk index as quantitative evaluation index, realize to overspeed detection
The management and control that becomes more meticulous of the quality of data, the problem of susceptibility for solving anomalous identification present in prior art has much room for improvement.
The present invention technical solution be：
A kind of overspeed of vehicle detects data validity appraisal procedure, is set for the vehicle speed detection with number plate identification function
The standby overspeed detection data uploaded assign hypervelocity risk index I0, spot spe J threshold test is being carried out to overspeed detection data
On the basis of carry out velocity measurement consistency detection, credit detection, association detection, risk index I is determined according to testing result,
Further assess the validity of hypervelocity data；Specific step is：
S1, reading overspeed of vehicle detection data, and to assign the risk index I that initially tests the speed per data0；
S2, with regard to a certain bar exceed the speed limit data, threshold speed detection is carried out to it, for speed detection value without departing from threshold value T1's
Train detection is recorded, and test the speed risk index increment M1For 0；Otherwise M1Take established standardses value and go to step S4；
S3, to not less than threshold speed hypervelocity record, carry out consistency detection obtain this hypervelocity record risk refer to
Number increment M2, carry out the risk index increment M that credit detects this hypervelocity record3, it is associated the wind for detecting this hypervelocity record
Dangerous exponential increment M4；
S4, the risk index I=I that tests the speed for determining overspeed detection record0+M1+M2+M3+M4, according to risk index numerical analysis
The validity of overspeed detection data, risk index shows that more greatly the validity of data is lower.
Further, step S3 is specially：
S31, consistency detection：The detection extracting data uploaded according to detection time from same detection device, which exceeds the speed limit, to be recorded
Vehicle is corresponded in the short time of setting every interior front truck, the detection data of rear car, is therefrom filtered out according to number plate recognition result similar
The detection data of type vehicle, count the travel speed average value of fore-aft vehicleCalculating speed detected value and front and rear car average speed
Diversity factorWherein v is speed detection value, v0It is big for diversity factor to detect the speed reference of section
In threshold value T2 situation, the risk index increment M for the record that exceeds the speed limit2Its established standardses value is taken, otherwise value is 0；
S32, credit detection：According to number plate of vehicle identification data, the car in the term of validity is retrieved from bayonet system database
History overspeed detection record, analysis of history overspeed situation calculates hypervelocity significance analysis indexIts
In, v is speed detection value, v0To detect the speed reference of section；The significance analysis index S that exceeds the speed limit is exceeded into the super of threshold value T3
Fast behavior is recorded as notable hypervelocity, statistically significant hypervelocity record number；If the notable hypervelocity record that vehicle exists before the deadline
Number is less than credit detection threshold value T4, then the risk index increment M for the hypervelocity record analyzed3Correspondence established standardses value is taken, otherwise M3
Value is 0；
S33, association detection：Retrieved in the similar detection data of the upstream of test point, downstream adjacent segments or intersection
The train detection data of correspondence number plate, refer to the risk of this hypervelocity record for when hypervelocity record is not present in upstream and downstream
Number increment M4Established standardses value is entered as, otherwise M4Value is 0.
Further, in step S2, detection threshold value T1 is determined according to vehicle, carried out before threshold test according to train detection number
According to number plate identification field determine vehicle vehicle, will detection speed be compared with corresponding vehicle threshold speed T1.
Further, in step S2, lorry, motor bus threshold speed T1 values 110km/h；Car velocity threshold value T1 roots
The statistics determination of car travel speed is crossed according to the history of test point, section history is effectively examined while by before the detection date in setting time section
Data are surveyed as statistical sample, using 85% bit rate as established standardses value, by the velocity amplitude work beyond established standardses value 20%
For the threshold speed of car.
Further, in step S31, threshold value T2 is determined according to data Risk Supervision demand, and the short time, every taking 1min, is detected
The speed reference v of section0Value is determined according to 85% speed.
Further, in step S32, threshold value T3, T4 is determined according to data Risk Supervision demand；From bayonet system database
The middle retrieval term of validity takes the vehicle history overspeed detection in 1 year to record；Detect the speed reference v of section0Value is according to 85%
Position speed is determined.
The beneficial effects of the invention are as follows：
First, this kind of overspeed of vehicle detection data validity appraisal procedure, using the risk index that tests the speed as overspeed of vehicle number
According to efficiency assessment index, by detecting, surpassing comprising spot spe J threshold test, speed consistency detection, hypervelocity historical record
The implementation of the hypervelocity quality of data inspection rule of fast relevance detection, to the vehicle speed detection with number plate identification function
The overspeed detection result of equipment carries out the quality inspection and risk assessment of quantification.
2nd, this kind of overspeed of vehicle data validity appraisal procedure detects data as analysis object using wall scroll, before can realizing
The quality testing that becomes more meticulous of original measurement data is held, and data validity is analyzed with carrying out quantification by the risk index that tests the speed,
Abnormal detection record can be filtered out, also can be by the unusual condition of the risk index statistical analysis corresponding device of a plurality of record.
Brief description of the drawings
Fig. 1 is the schematic flow sheet that overspeed of vehicle of the embodiment of the present invention detects data validity appraisal procedure.
Embodiment
The preferred embodiment that the invention will now be described in detail with reference to the accompanying drawings.
Embodiment provides a kind of overspeed of vehicle detection data validity appraisal procedure, for the speed with number plate identification function
Detection device provides a kind of overspeed of vehicle data validity appraisal procedure of quantification, is recorded as point with the detection of wall scroll overspeed of vehicle
Object is analysed, comprehensive assessment is carried out from vehicle driving habits and the section accuracy that rear car running situation tests the speed to equipment of going forward,
The abnormal risk that overspeed detection is recorded is judged according to the risk index that tests the speed, and then ensures the basic number needed for traffic administration, management and control
According to quality.
Embodiment
A kind of overspeed of vehicle detects data validity appraisal procedure, is set for the vehicle speed detection with number plate identification function
The standby hypervelocity data uploaded assign risk index, and hypervelocity data are being carried out to carry out speed on the basis of spot spe J threshold test
The consistency detection of measured value, credit detection, association detection, determine risk index according to testing result, further assess hypervelocity
The validity of data；Such as Fig. 1, specific step is：
S1, one by one reading overspeed of vehicle detection data, and to assign the risk index I that initially tests the speed per data0；Embodiment
In, it is the risk index that tests the speed that every data assigns that initial value is 0.
S2, with regard to a certain bar exceed the speed limit data, threshold speed detection is carried out to it, for speed detection value without departing from threshold value T1's
Train detection is recorded, and test the speed risk index increment M1For 0；Otherwise M1Take established standardses value and go to step S4；
Wherein, detection threshold value T1 is determined according to vehicle, carried out before threshold test according to the identification of the number plate of train detection data
Field determines vehicle vehicle, and detection speed is compared with corresponding vehicle threshold speed T1.Lorry, motor bus threshold speed T1
Value 110km/h, car velocity threshold value T1 cross the statistics determination of car travel speed according to the history of test point, before the detection date
Section history effective detection data are as statistical sample while January, using 85% bit rate as established standardses value, will exceed and set
The velocity amplitude for determining standard value 20% is used as the threshold speed of car；Risk index increment M1Established standardses value takes 100.
S3, to the hypervelocity record not less than threshold speed, carry out consistency detection, credit detection, association detection, and determine
Its risk index that tests the speed；Specific step is：
S31, consistency detection：The detection extracting data uploaded according to detection time from same detection device, which exceeds the speed limit, to be recorded
Correspondence vehicle, every the detection data of interior front truck, rear car, same type car is therefrom filtered out according to number plate recognition result in the short time
Detection data, count fore-aft vehicle travel speed average valueThe difference of calculating speed detected value and front and rear car average speed
Different degreeWherein v is speed detection value, v0To detect the speed reference of section, it is more than for diversity factor
Threshold value T2 situation, hypervelocity record risk index increment M2Its established standardses value is taken, otherwise value is 0.Wherein, threshold value T2 advises
Value takes 20%, can also be adjusted and determined according to data Risk Supervision demand.Short time, every taking 1min, detects the speed reference of section
v0Value determines that threshold value T2 takes 20% according to 85% speed；Increment M2Established standardses value take 25.
S32, credit detection：According to number plate of vehicle identification data, the car in the term of validity is retrieved from bayonet system database
History overspeed detection record, analysis of history overspeed situation calculates hypervelocity significance analysis indexIts
In, v is speed detection value, v0To detect the speed reference of section；The significance analysis index S that exceeds the speed limit is exceeded into the super of threshold value T3
Fast behavior is recorded as notable hypervelocity, statistically significant hypervelocity record number；If the notable hypervelocity record that vehicle exists before the deadline
Number is less than credit detection threshold value T4, then the risk index increment M for the hypervelocity record analyzed3Correspondence established standardses value is taken, otherwise M3
Value is 0.Wherein, threshold value T3 recommended values take 20%, can also be adjusted and determined according to data Risk Supervision demand；Threshold value T4 is according to number
Determined according to Risk Supervision demand；The term of validity takes 1 year, detects the speed reference v of section0Value determines according to 85% speed,
Threshold value T3 values 20%, credit detection threshold value T4 values 2；Increment M3Established standardses value value 15.
S33, association detection：Retrieved in the similar detection data of the upstream of test point, downstream adjacent segments or intersection
The train detection data of correspondence number plate, refer to the risk of this hypervelocity record for when hypervelocity record is not present in upstream and downstream
Number increment M4Established standardses value is entered as, otherwise M4Value is 0.In embodiment, increment M4Established standardses value take 20.
S4, the risk index I=I that tests the speed for determining overspeed detection record0+M1+M2+M3+M4, according to risk index numerical analysis
The validity of overspeed detection data, risk index shows that more greatly the validity of data is lower.
Claims (6)
1. a kind of overspeed of vehicle detects data validity appraisal procedure, it is characterised in that：For the vehicle with number plate identification function
The overspeed detection data that speed detection equipment is uploaded assign hypervelocity risk index I0, spot spe J is being carried out to overspeed detection data
The consistency detection of velocity measurement, credit are carried out on the basis of threshold test to detect, associate detection, are determined according to testing result
Risk index I, further assesses the validity of hypervelocity data；Specific step is：
S1, reading overspeed of vehicle detection data, and to assign the risk index I that initially tests the speed per data0；
S2, with regard to a certain bar exceed the speed limit data, threshold speed detection is carried out to it, for speed detection value without departing from threshold value T1 cross car
Detection record, test the speed risk index increment M1For 0；Otherwise M1Take established standardses value and go to step S4；
S3, to not less than threshold speed hypervelocity record, carry out consistency detection obtain this hypervelocity record risk index increase
Measure M2, carry out the risk index increment M that credit detects this hypervelocity record3, it is associated and detects that the risk of this hypervelocity record refers to
Number increment M4；
S4, the risk index I=I that tests the speed for determining overspeed detection record0+M1+M2+M3+M4, exceeded the speed limit according to risk index numerical analysis
The validity of data is detected, risk index shows that more greatly the validity of data is lower.
2. overspeed of vehicle as claimed in claim 1 detects data validity appraisal procedure, it is characterised in that step S3 is specific
For：
S31, consistency detection：The detection extracting data hypervelocity record correspondence uploaded according to detection time from same detection device
Vehicle setting short time every interior front truck, the detection data of rear car, same type car is therefrom filtered out according to number plate recognition result
Detection data, count fore-aft vehicle travel speed average valueThe difference of calculating speed detected value and front and rear car average speed
Different degreeWherein v is speed detection value, v0To detect the speed reference of section, it is more than for diversity factor
Threshold value T2 situation, the risk index increment M for the record that exceeds the speed limit2Its established standardses value is taken, otherwise value is 0；
S32, credit detection：According to number plate of vehicle identification data, the vehicle retrieved from bayonet system database in the term of validity is gone through
History overspeed detection is recorded, analysis of history overspeed situation, that is, calculates hypervelocity significance analysis indexWherein, v
For speed detection value, v0To detect the speed reference of section；The significance analysis index S that exceeds the speed limit is exceeded to threshold value T3 hypervelocity row
To be recorded as notable hypervelocity, statistically significant hypervelocity record number；If the notable hypervelocity record number that vehicle exists before the deadline is low
In credit detection threshold value T4, then the risk index increment M for the hypervelocity record analyzed3Correspondence established standardses value is taken, otherwise M3Value
For 0；
S33, association detection：Correspondence is retrieved in the similar detection data of the upstream of test point, downstream adjacent segments or intersection
The train detection data of number plate, for this is exceeded the speed limit when hypervelocity record is not present in upstream and downstream, the risk index recorded increases
Measure M4Established standardses value is entered as, otherwise M4Value is 0.
3. overspeed of vehicle as claimed in claim 1 detects data validity appraisal procedure, it is characterised in that：In step S2, root
Recognize that field determines vehicle car according to the number plate of train detection data before determining detection threshold value T1, progress threshold test according to vehicle
Type, detection speed is compared with corresponding vehicle threshold speed T1.
4. overspeed of vehicle as claimed in claim 3 detects data validity appraisal procedure, it is characterised in that：In step S2, goods
Car, motor bus threshold speed T1 values 110km/h；Car velocity threshold value T1 crosses car travel speed system according to the history of test point
Meter determines that section history effective detection data are as statistical sample while using before the detection date in setting time section, by 85%
Speed as established standardses value, using beyond the velocity amplitude of established standardses value 20% as car threshold speed.
5. the overspeed of vehicle detection data validity appraisal procedure as described in claim any one of 1-4, it is characterised in that：Step
In S31, threshold value T2 is determined according to data Risk Supervision demand, and the short time, every taking 1min, detects the speed reference v of section0Take
Value is determined according to 85% speed.
6. the overspeed of vehicle detection data validity appraisal procedure as described in claim any one of 1-4, it is characterised in that：Step
In S32, threshold value T3, threshold value T4 are determined according to data Risk Supervision demand；The term of validity is retrieved from bayonet system database and takes one
Vehicle history overspeed detection record in year；Detect the speed reference v of section0Value is determined according to 85% speed.
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| CN111319787A (en) * | 2020-02-24 | 2020-06-23 | 北京安达维尔航空设备有限公司 | Helicopter moving part vibration monitoring data validity evaluation method |
| CN111696368A (en) * | 2020-06-16 | 2020-09-22 | 武汉中科通达高新技术股份有限公司 | Overspeed illegal data generation method and illegal server |
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| CN111696368A (en) * | 2020-06-16 | 2020-09-22 | 武汉中科通达高新技术股份有限公司 | Overspeed illegal data generation method and illegal server |
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Denomination of invention: Method for evaluating the effectiveness of vehicle overspeed detection data Granted publication date: 20190129 Pledgee: Jiangsu Zijin Rural Commercial Bank Co.,Ltd. Gulou sub branch Pledgor: JIANGSU ZHITONG TRANSPORTATION TECHNOLOGY Co.,Ltd. Registration number: Y2024980013452 |