CN107093224B - Overspeed of vehicle detection data efficiency assessment method - Google Patents
Overspeed of vehicle detection data efficiency assessment method Download PDFInfo
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- CN107093224B CN107093224B CN201710216840.5A CN201710216840A CN107093224B CN 107093224 B CN107093224 B CN 107093224B CN 201710216840 A CN201710216840 A CN 201710216840A CN 107093224 B CN107093224 B CN 107093224B
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- 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
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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 efficiency assessment method, assigns hypervelocity risk index I for the overspeed detection data that the vehicle speed detection equipment with number plate identification function uploads0Overspeed detection data are carried out carrying out the consistency detection of velocity measurement on the basis of spot spe J threshold test, credit detection, are associated with detection, it is final to determine hypervelocity risk index I, risk index is determined according to testing result, further the validity of assessment hypervelocity data；This method is analysis object with single detection data, it can be realized the fining quality testing of the original measurement data in front end, and data validity is analyzed with carrying out quantification by the risk index that tests the speed, abnormal detection record can be filtered out, the unusual condition of corresponding equipment can be also statisticallyd analyze by the risk index of a plurality of record.
Description
Technical field
The present invention relates to a kind of overspeed of vehicle detection data efficiency assessment methods.
Background technique
The current tollgate devices for realizing Vehicle Speed detection are widely used in the control of road traffic, automatically
The over-speed vehicles of change identify and investigate and prosecute the Spot Enforcing intensity for significantly reducing traffic police department, while effectively specification road is handed over
Logical running order, ensures traffic safety.But trackside detection device is influenced by various internal and external factors in application, as network passes
Defeated, road traffic condition, weather environment etc., it is understood that there may be data exception problem especially causes vehicle to disobey because testing the speed exception
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
Spend the accuracy and reliability of detection data.
It is currently able to realize that the mode of solo running velocity measuring is limited, the speed such as Floating Car based on GPS positioning mode
The full pattern detection of road network vehicle difficult to realize is detected, while being limited by the difficulty of data sharing between traffic administration each department, because
This is difficult to carry out by the detection data for obtaining other data sources more for the Effective judgement of the speed detection value of tollgate devices
Source system data analysis is realized.Patent 2016101607487 proposes a kind of data quality checking method of bayonet test equipment,
In for single 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 is to be improved.
Summary of the invention
The object of the present invention is to provide a kind of overspeed of vehicle detection data efficiency assessment methods, 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 being 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 fining of the quality of data is managed, and solves the problems, such as that the susceptibility of anomalous identification existing in the prior art is to be improved.
The technical solution of the invention is as follows:
A kind of overspeed of vehicle detection data efficiency assessment method, sets 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, according to testing result determine risk index I,
The further validity of assessment hypervelocity data；Specific step are as follows:
S1, overspeed of vehicle detection data is read, and assigns the risk index I that initially tests the speed for every data0；
S2, exceed the speed limit data with regard to a certain item, threshold speed detection is carried out to it, for speed detection value without departing from threshold value T1's
Train detection record, test the speed risk index increment M1It is 0；Otherwise M1It takes established standards value and goes to step S4；
S3, the hypervelocity for being less than threshold speed is recorded, the risk that progress consistency detection obtains this hypervelocity record refers 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 show that more greatly the validity of data is lower.
Further, step S3 specifically:
S31, consistency detection: hypervelocity record is extracted from the detection data that same detection device uploads according to detection time
Vehicle is corresponded in the short time of setting every interior front truck, the detection data of rear car, is screened out from it according to number plate recognition result similar
The detection data of type vehicle counts the travel speed average value of fore-aft vehicleCalculating speed detected value and front and back vehicle average speed
Diversity factorWherein v is speed detection value, v0For detect section speed reference, for diversity factor
The case where greater than threshold value T2, the risk index increment M for the record that exceeds the speed limit2Its established standards value is taken, otherwise value is 0；
S32, credit detection: identifying data according to number plate of vehicle, from the vehicle retrieved in validity period in bayonet system database
History overspeed detection record, analysis of history overspeed situation calculate hypervelocity significance analysis indexIts
In, v is speed detection value, v0For the speed reference for detecting section；It is more than the super of threshold value T3 by the significance analysis index S that exceeds the speed limit
Fast behavior is as significant hypervelocity record, statistically significant hypervelocity record number；If vehicle significant hypervelocity record existing before the deadline
Number is lower than credit detection threshold value T4, then the risk index increment M for the hypervelocity record analyzed3Corresponding established standards value is taken, otherwise M3
Value is 0；
S33, association detection: it is retrieved in the similar detection data of the upstream of test point, downstream adjacent segments or intersection
The train detection data of corresponding number plate, for referring to the risk of this hypervelocity record the case where there is no hypervelocity records for upstream and downstream
Number increment M4It is assigned a value of established standards value, otherwise M4Value is 0.
Further, in step S2, detection threshold value T1 is determined according to vehicle, is carried out before threshold test according to train detection number
According to number plate identification field determine vehicle vehicle, will test speed with correspondence vehicle threshold speed T1 be compared.
Further, in step S2, lorry, motor bus threshold speed T1 value 110km/h；Car velocity threshold value T1 root
It crosses vehicle travel speed statistics according to the history of test point to determine, section history is effectively examined while will test before the date in set period of time
Measured data is as statistical sample, and using 85% bit rate as established standards value, the velocity amplitude that will exceed established standards value 20% is made
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
Middle retrieval validity period takes the vehicle history overspeed detection in 1 year to record；Detect the speed reference v of section0Value is according to 85%
Position speed determines.
The beneficial effects of the present invention are:
One, this kind of overspeed of vehicle detection data efficiency assessment method, using the risk index that tests the speed as overspeed of vehicle number
According to efficiency assessment index, by the inclusion of spot spe J threshold test, speed consistency detection, the detection of hypervelocity historical record, surpass
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.
Two, this kind of overspeed of vehicle data validity appraisal procedure is analysis object with single detection data, before can be realized
The fining quality testing 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, the unusual condition of corresponding equipment can be also statisticallyd analyze by the risk index of a plurality of record.
Detailed description of the invention
Fig. 1 is the flow diagram of overspeed of vehicle detection data efficiency assessment method of the embodiment of the present invention.
Specific 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 efficiency assessment method, 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 single overspeed of vehicle
Object is analysed, carries out comprehensive assessment from vehicle driving habit and the section accuracy that rear car operating condition tests the speed to equipment of going forward,
The abnormal risk of overspeed detection record, and then basic number needed for guarantee traffic administration, control are judged according to the risk index that tests the speed
According to quality.
Embodiment
A kind of overspeed of vehicle detection data efficiency assessment method, sets for the vehicle speed detection with number plate identification function
The standby hypervelocity data uploaded assign risk index, carry out speed on the basis of carrying out spot spe J threshold test to hypervelocity data
The consistency detection of measured value, credit detection, association detection, determine risk index, further assessment hypervelocity according to testing result
The validity of data；Such as Fig. 1, specific step are as follows:
S1, overspeed of vehicle detection data is read one by one, and assign the risk index I that initially tests the speed for every data0；Embodiment
In, the risk index that tests the speed that initial value is 0 is assigned for every data.
S2, exceed the speed limit data with regard to a certain item, threshold speed detection is carried out to it, for speed detection value without departing from threshold value T1's
Train detection record, test the speed risk index increment M1It is 0；Otherwise M1It takes established standards value and goes to step S4；
Wherein, detection threshold value T1 is determined according to vehicle, is identified before carrying out threshold test according to the number plate of train detection data
Field determines vehicle vehicle, will test speed and is compared with corresponding vehicle threshold speed T1.Lorry, motor bus threshold speed T1
Value 110km/h, car velocity threshold value T1 cross vehicle travel speed statistics according to the history of test point and determine, before will test the date
The section effective detection data of history will exceed and set using 85% bit rate as established standards value as statistical sample while January
Determine threshold speed of the velocity amplitude as car of standard value 20%；Risk index increment M1Established standards value takes 100.
S3, the hypervelocity for being less than threshold speed is recorded, carries out consistency detection, credit detection, association detection, and determine
Its risk index that tests the speed；Specific step are as follows:
S31, consistency detection: hypervelocity record is extracted from the detection data that same detection device uploads according to detection time
Corresponding vehicle, every interior front truck, the detection data of rear car, is screened out from it same type vehicle according to number plate recognition result in the short time
Detection data, count the travel speed average value of fore-aft vehicleThe difference of calculating speed detected value and front and back vehicle average speed
Different degreeWherein v is speed detection value, v0For the speed reference for detecting section, diversity factor is greater than
The case where threshold value T2, hypervelocity record risk index increment M2Its established standards value is taken, otherwise value is 0.Wherein, threshold value T2 suggests
Value takes 20%, can also be adjusted and be 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 standards value take 25.
S32, credit detection: identifying data according to number plate of vehicle, from the vehicle retrieved in validity period in bayonet system database
History overspeed detection record, analysis of history overspeed situation calculate hypervelocity significance analysis indexIts
In, v is speed detection value, v0For the speed reference for detecting section；It is more than the super of threshold value T3 by the significance analysis index S that exceeds the speed limit
Fast behavior is as significant hypervelocity record, statistically significant hypervelocity record number；If vehicle significant hypervelocity record existing before the deadline
Number is lower than credit detection threshold value T4, then the risk index increment M for the hypervelocity record analyzed3Corresponding established standards value is taken, otherwise M3
Value is 0.Wherein, threshold value T3 recommended value takes 20%, can also be adjusted and be determined according to data Risk Supervision demand；Threshold value T4 is according to number
It is determined according to Risk Supervision demand；Validity period takes 1 year, detects the speed reference v of section0Value is determining according to 85% speed,
Threshold value T3 value 20%, credit detection threshold value T4 value 2；Increment M3Established standards value value 15.
S33, association detection: it is retrieved in the similar detection data of the upstream of test point, downstream adjacent segments or intersection
The train detection data of corresponding number plate, for referring to the risk of this hypervelocity record the case where there is no hypervelocity records for upstream and downstream
Number increment M4It is assigned a value of established standards value, otherwise M4Value is 0.In embodiment, increment M4Established standards 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 show that more greatly the validity of data is lower.
Claims (5)
1. a kind of overspeed of vehicle detection data efficiency assessment method, it is characterised in that: be the vehicle with number plate identification function
The overspeed detection data that speed detection equipment uploads assign hypervelocity risk index I0, spot spe J is being carried out to overspeed detection data
Consistency detection, the credit detection, association detection that velocity measurement is carried out on the basis of threshold test, determine according to testing result
Risk index I further assesses the validity of hypervelocity data；Specific step are as follows:
S1, overspeed of vehicle detection data is read, and assigns the risk index I that initially tests the speed for every data0；
S2, exceed the speed limit data with regard to a certain item, carries out threshold speed detection to it, crosses vehicle without departing from threshold value T1 for speed detection value
Detection record, test the speed risk index increment M1It is 0；Otherwise M1It takes established standards value and goes to step S4；
S3, the hypervelocity for being less than threshold speed is recorded, carries out consistency detection and obtains the risk index increasing of this hypervelocity record
Measure M2, carry out the risk index increment M that credit detects this hypervelocity record3, it is associated the risk that detection this hypervelocity records and refers to
Number increment M4；Step S3 specifically:
S31, consistency detection: hypervelocity record is extracted from the detection data that same detection device uploads according to detection time and is corresponded to
Vehicle setting short time every interior front truck, the detection data of rear car, same type vehicle is screened out from it according to number plate recognition result
Detection data, count the travel speed average value of fore-aft vehicleThe difference of calculating speed detected value and front and back vehicle average speed
Different degreeWherein v is speed detection value, v0For the speed reference for detecting section, diversity factor is greater than
The case where threshold value T2, the risk index increment M for the record that exceeds the speed limit2Its established standards value is taken, otherwise value is 0；
S32, credit detection: identifying data according to number plate of vehicle, goes through from the vehicle in validity period is retrieved in bayonet system database
History overspeed detection record, analysis of history overspeed situation calculate hypervelocity significance analysis indexWherein, v
For speed detection value, v0For the speed reference for detecting section；It is more than the hypervelocity row of threshold value T3 by the significance analysis index S that exceeds the speed limit
For as significant hypervelocity record, statistically significant hypervelocity record number；If vehicle significant hypervelocity record number existing before the deadline is low
In credit detection threshold value T4, then the risk index increment M for the hypervelocity record analyzed3Corresponding established standards value is taken, otherwise M3Value
It is 0；
S33, association detection: it retrieves and corresponds in the similar detection data of the upstream of test point, downstream adjacent segments or intersection
The train detection data of number plate, for increasing the risk index of this hypervelocity record the case where there is no hypervelocity records for upstream and downstream
Measure M4It is assigned a value of established standards value, otherwise M4Value is 0；
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 detection data, risk index show that more greatly the validity of data is lower.
2. overspeed of vehicle detection data efficiency assessment method as described in claim 1, it is characterised in that: in step S2, root
Detection threshold value T1 is determined according to vehicle, carries out identifying that field determines vehicle vehicle according to the number plate of train detection data before threshold test
Type will test speed and be compared with corresponding vehicle threshold speed T1.
3. overspeed of vehicle detection data efficiency assessment method as claimed in claim 2, it is characterised in that: in step S2, goods
Vehicle, motor bus threshold speed T1 value 110km/h；Car velocity threshold value T1 crosses vehicle travel speed system according to the history of test point
Meter determines, will test before the date while in set period of time that the section effective detection data of history is as statistical sample, by 85%
Speed will exceed threshold speed of the velocity amplitude as car of established standards value 20% as established standards value.
4. overspeed of vehicle detection data efficiency assessment method as described in any one of claims 1-3, 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 section0It takes
Value is determined according to 85% speed.
5. overspeed of vehicle detection data efficiency assessment method as described in any one of claims 1-3, it is characterised in that: step
In S32, threshold value T3, threshold value T4 are determined according to data Risk Supervision demand；Retrieval validity period takes one from bayonet system database
Vehicle history overspeed detection record in year；Detect the speed reference v of section0Value is determined according to 85% speed.
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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 |
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