CN107563931A - A kind of real-time driving behavior quality appraisal procedure of vehicle based on the Big Dipper or gps data - Google Patents
A kind of real-time driving behavior quality appraisal procedure of vehicle based on the Big Dipper or gps data Download PDFInfo
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Abstract
The present invention relates to a kind of real-time driving behavior quality appraisal procedure of vehicle based on the Big Dipper or gps data, the vehicle location real time data that the vehicle-mounted Big Dipper or GPS device are obtained, including timestamp, speed and deflection, using six kinds of individual event driving behavior superior and inferior evaluating models, six kinds of individual event driving behavior score values of Current vehicle are calculated：Hypervelocity behavior score value, zig zag behavior score value, anxious acceleration behavior score value, anxious deceleration behavior score value, nighttime driving behavior score value and fatigue driving behavior score value；Then, this six kinds of individual event driving behavior score values are substituted into vehicle drive behavior real time comprehensive Rating Model, you can draw the good and bad real-time score value of the current driving behavior of reflection vehicle.
Description
Technical field:
The present invention relates to physical field, more particularly to e measurement technology, particularly a kind of car based on the Big Dipper or gps data
In real time driving behavior quality appraisal procedure.
Background technology：
Traffic accident is all often as caused by all kinds of violation driving behaviors, so vehicle drive behavioural analysis is traffic prison
One important research content in control field.At present, with the continuous development of the emerging information technology such as smart city, car networking, get over
The Big Dipper or GPS positioning system are mounted with come more vehicles, data are by endlessly caused by these vehicle positioning systems
Vehicle monitoring platform is sent to, is played an important role for the monitoring and risk-aversion of vehicle.From the vehicle-mounted Big Dipper or GPS numbers
Mainly have according to the common violation driving behavior that can be analyzed：Hypervelocity behavior, zig zag behavior, anxious acceleration behavior and the anxious row that slows down
For, nighttime driving behavior and fatigue driving behavior etc..How these violation driving behavior information are scientifically utilized, so as to objectively
The quality of vehicle drive behavior is assessed, is had broad application prospects.
The content of the invention：
It is an object of the invention to provide a kind of good and bad assessment side of the real-time driving behavior of vehicle based on the Big Dipper or gps data
Method, the real-time driving behavior quality appraisal procedure of the described this vehicle based on the Big Dipper or gps data will solve prior art
In fail to assess the good and bad technical problem of car steering behavior using these violation driving behavior data.
The invention provides a kind of real-time driving behavior quality appraisal procedure of vehicle based on the Big Dipper or gps data, bag
Include following steps：
1) the step of collection vehicle traveling real time data：
By parsing the vehicle-mounted Big Dipper or GPS location data, timestamp, speed and the side in vehicle travel process are obtained
To angle；The cycle of data acquisition is 25~35 seconds；
2) the step of calculating furious driving behavior score value：
If the speed currently gathered in the Big Dipper or gps data is v, then the furious driving behavior score value x of Current vehicle1Can
To be calculated by following piecewise functions：
3) one calculates the step of taking a sudden turn driving behavior score value：
If the deflection currently gathered in the Big Dipper or gps data is rt, the last week interim Big Dipper or GPS collected
Deflection in data is rt-1, then the zig zag driving behavior score value x of Current vehicle2It can be calculated by following piecewise functions
Arrive：
4) one calculates anxious the step of accelerating driving behavior score value：
If the speed currently gathered in the Big Dipper or gps data is vt, the last week interim Big Dipper collected or GPS numbers
Speed in is vt-1, then the anxious of Current vehicle accelerate driving behavior score value x3It can be calculated by following piecewise functions：
5) the step of calculating anxious deceleration driving behavior score value：
If the speed currently gathered in the Big Dipper or gps data is vt, the last week interim Big Dipper collected or GPS numbers
Speed in is vt-1, then the anxious deceleration driving behavior score value x of Current vehicle4It can be calculated by following piecewise functions：
6) the step of calculating night running driving behavior score value：
If driving behavior of the vehicle between 20 points to 6 points of next day is nighttime driving behavior；Current the collection Big Dipper or GPS
Night running time cumulation in data is ty, then the night running driving behavior score value x of Current vehicle5Can be by following formula
It is calculated：
x5=10ty
7) the step of calculating fatigue driving behavior score value：
If the behavior that vehicle continuously drives more than 4 hours is fatigue driving behavior；Current the collection Big Dipper or gps data
In the time cumulation that continuously drives be tp, then the fatigue driving behavior score value x of Current vehicle6It can be calculated by following formula：
8) a step of calculating vehicle real-time driving behavior quality comprehensive grading：
If D is vehicle drive behavior score；The initial driving of vehicle is scored at full marks 100 and divided, if above-mentioned six kinds of individual events occur
Driving behavior then subtracts corresponding score value, then the last real time comprehensive scoring for just obtaining Current vehicle driving behavior, the scoring mould
Type is specific as follows：
D=100- (0.135x1+0.168x2+0.205x3+0.191x4+0.06x5+0.24x6)。
Further, using tyRepresent the night running time be in order to following tired time tpDistinguish because this two
The individual time is different, tyIt is the cumulative time calculated since 20 points to represent the night running time, and tpThe fatigue driving time is represented,
Time started is any time.
Further, the cycle of data acquisition is 30 seconds in step 1).
Further, the previous cycle in step 3), step 4), step 5) is the data of collection before 25~35 seconds.
Further, the previous cycle in step 3), step 4), step 5) is the data of collection before 30 seconds.
The previous cycle refers to, vehicle GPS data are the real time datas of periodic collection vehicle, the cycle one of data acquisition
As be 30 seconds, such as：14:00:00 receives a gps data, then and 14:00:30 can receive a gps data again, then before
One cycle referred to 14:00:The data that 00 that time receives.
Six kinds of common violation driving behaviors can be analyzed based on the vehicle-mounted Big Dipper or GPS device data：Hypervelocity behavior, urgency
Turning behavior, anxious acceleration behavior, anxious deceleration behavior, nighttime driving behavior and fatigue driving behavior.Disobeyed because this six kinds common
Rule driving behavior it is different degrees of have impact on the quality of vehicle entirety driving behavior, so giving this six kinds of violation driving behaviors distribution
Different weights, and this six kinds of individual event driving behavior score values are substituted into vehicle drive behavior real time comprehensive Rating Model, you can
Draw the good and bad real-time score value of the current driving behavior of reflection vehicle.
Compared with prior art, its effect is positive and obvious to the present invention.The it is proposed of the present invention can be commented effectively
Estimate the real-time driving behavior quality situation for the vehicle for providing the standby vehicle-mounted Big Dipper or GPS device, be driver, carrier and friendship
Logical supervision department raises the management level the foundation of the science that provides.Moreover, good and bad assess of vehicle drive behavior in the present invention is tied
Fruit is the data based on the vehicle-mounted Big Dipper or GPS device.The vehicle-mounted Big Dipper or GPS device have low cost, technology maturation, data
The advantages that accurate.
Embodiment：
Embodiment 1
The real-time driving behavior quality appraisal procedure of a kind of vehicle based on the Big Dipper or gps data proposed by the present invention combines
Embodiment describes in detail as follows：
The data that the present invention is mainly gathered according to the vehicle-mounted Big Dipper or GPS device of vehicle, to the real-time driving of vehicle
Behavior quality is assessed；This method comprises the following steps：
1) vehicle traveling real-time data acquisition：
Data in the vehicle travel process of collection include timestamp, speed and deflection；The cycle of data acquisition is 30
Second；Timestamp, speed and deflection are obtained by parsing the vehicle-mounted Big Dipper or GPS location data；
2) six kinds of individual event driving behavior superior and inferior evaluating models：
Six kinds of individual event driving behaviors point are calculated in the Big Dipper or GPS location data in vehicle travel process respectively
Value (hypervelocity behavior score value, zig zag behavior score value, anxious acceleration behavior score value, anxious deceleration behavior score value, night running behavior score value
With fatigue driving behavior score value), computation model is specific as follows：
21) furious driving behavior score value computation model
If the speed currently gathered in the Big Dipper or gps data is v, then the furious driving behavior score value x of Current vehicle1Can
To be calculated by following piecewise functions：
22) take a sudden turn driving behavior score value computation model
If the deflection currently gathered in the Big Dipper or gps data is rt, the last week interim Big Dipper or GPS collected
Deflection in data is rt-1, then the zig zag driving behavior score value x of Current vehicle2It can be calculated by following piecewise functions
Arrive：
23) it is anxious to accelerate driving behavior score value computation model
If the speed currently gathered in the Big Dipper or gps data is vt, the last week interim Big Dipper collected or GPS numbers
Speed in is vt-1, then the anxious of Current vehicle accelerate driving behavior score value x3It can be calculated by following piecewise functions：
24) anxious deceleration driving behavior score value computation model
If the speed currently gathered in the Big Dipper or gps data is vt, the last week interim Big Dipper collected or GPS numbers
Speed in is vt-1, then the anxious deceleration driving behavior score value x of Current vehicle4It can be calculated by following piecewise functions：
25) night running driving behavior score value computation model
If driving behavior of the vehicle between 20 points to 6 points of next day is nighttime driving behavior；Current the collection Big Dipper or GPS
Night running time cumulation in data is ty, then the night running driving behavior score value x of Current vehicle5Can be by following formula
It is calculated：
x5=10ty (1.5)
26) fatigue driving behavior score value computation model
If the behavior that vehicle continuously drives more than 4 hours is fatigue driving behavior；Current the collection Big Dipper or gps data
In the time cumulation that continuously drives be tp, then the fatigue driving behavior score value x of Current vehicle6It can be calculated by following formula：
3) the real-time driving behavior quality comprehensive grade model of vehicle：
If D is vehicle drive behavior score；The initial driving of vehicle is scored at full marks 100 and divided, if above-mentioned six kinds of individual events occur
Driving behavior then subtracts corresponding score value, then the last real time comprehensive scoring for just obtaining Current vehicle driving behavior, the scoring mould
Type is specific as follows：
D=100- (0.135x1+0.168x2+0.205x3+0.191x4+0.06x5+0.24x6)。 (1.7)
The method of the present invention is described as follows by a specific embodiment：The present embodiment method comprises the following steps：
1) vehicle traveling real-time data acquisition：
If the data of the vehicle on-board in embodiment are timestamp, speed and deflection, the cycle of collection is 30 seconds, wherein
Timestamp, speed and deflection are obtained by parsing the vehicle-mounted Big Dipper or GPS location data.
If the vehicle on-board Big Dipper or the raw value of GPS device collection are as follows in embodiment：
| Moment | Speed | Deflection |
| 170201000000 | 0056 | 0004 |
| 170201000030 | 005D | 002a |
The above-mentioned original Big Dipper or gps data are formulated for 2013 according to national communication Department of Transportation《Road transport vehicle is defended
Star alignment system Big Dipper compatibility car-mounted terminal communications protocol technical specification》It is as follows to resolve to normal data：
| Moment | Speed | Deflection |
| 2017-02-01 00:00:00 | 86 kilometers/hour | 4 degree |
| 2017-02-01 00:00:30 | 93 kilometers/hour | 42 degree |
It can be drawn from upper table：Current vehicle speed is 93 kilometers/hour, and the difference of Current vehicle deflection is 38 degree, currently
The difference of vehicle speed is 7 kilometers/hour；In addition, it can be obtained according to its long-term gps data sequence, its night running duration
For 2 hours, fatigue driving duration was 1 hour.
2) six kinds of individual event driving behavior superior and inferior evaluating model calculating process and result：
Six kinds of individual event driving behaviors are calculated respectively according to the vehicle Big Dipper or gps data (hypervelocity, zig zag, suddenly to add
Speed, it is anxious slow down, night running and fatigue driving) scoring score value, detailed process is as follows：
21) furious driving behavior score value
According to 93 kilometers/hour of formula (1.1) and current vehicle speed value, can obtain：
x1=2 × (93-70)=46；
22) take a sudden turn driving behavior score value
It is 38 degree according to formula (1.2) and Current vehicle direction angular difference, can obtains：
x2=38-30=8；
23) it is anxious to accelerate driving behavior score value
It is 7 kilometers/hour according to formula (1.3) and Current vehicle speed difference, can obtains：
x3=10 × (7-5)=20；
24) anxious deceleration driving behavior score value
It is on the occasion of can obtain according to formula (1.4) and Current vehicle speed difference：
x4=0；
25) night running driving behavior score value
It is 2 hours according to formula (1.5) and current night running duration, can obtains：
x5=10 × 2=20；
26) fatigue driving behavior score value
It is 1 hour according to formula (1.6) and current fatigue driving duration, can obtains：
x6=25 × 1=25；
3) the real-time driving behavior quality comprehensive grading score value of vehicle：
It can be obtained according to formula (1.7)：
D=100- (0.135 × 46+0.168 × 8+0.205 × 20+0.191 × 0+0.06 × 20+0.24 × 25)
=100-18.854=81.146.
So the real-time driving behavior comprehensive grading result of vehicle currently is 81.146.
The meaning of this fraction of comprehensive grading result is compared in real time by the driving fraction of multiple vehicles, determines a car
Key monitoring object in team.
The meaning of comprehensive grading is compared in real time by the driving fraction of multiple vehicles, determines the emphasis prison in a fleet
Control object.The real-time driving behavior comprehensive grading driver lower than the scoring of other drivers, illustrates its current driving procedure
In violation driving behavior than same fleet other drivers more than, it is necessary to security control personnel's key monitoring.Such as：A cars are worked as
Preceding fraction is 60 points, and B cars present score is 70 points, then fleet operator should key monitoring A cars.
Claims (4)
- A kind of 1. real-time driving behavior quality appraisal procedure of vehicle based on the Big Dipper or gps data, it is characterised in that including with Lower step：1) the step of collection vehicle traveling real time data：By parsing the vehicle-mounted Big Dipper or GPS location data, timestamp, speed and the direction in vehicle travel process are obtained Angle；The cycle of data acquisition is 25~35 seconds；2) the step of calculating furious driving behavior score value：If the speed currently gathered in the Big Dipper or gps data is v, then the furious driving behavior score value x of Current vehicle1Can be by Following piecewise functions are calculated：3) one calculates the step of taking a sudden turn driving behavior score value：If the deflection currently gathered in the Big Dipper or gps data is rt, the last week interim Big Dipper or gps data collected In deflection be rt-1, then the zig zag driving behavior score value x of Current vehicle2It can be calculated by following piecewise functions：4) one calculates anxious the step of accelerating driving behavior score value：If the speed currently gathered in the Big Dipper or gps data is vt, in the last week interim Big Dipper or gps data collected Speed be vt-1, then the anxious of Current vehicle accelerate driving behavior score value x3It can be calculated by following piecewise functions：5) the step of calculating anxious deceleration driving behavior score value：If the speed currently gathered in the Big Dipper or gps data is vt, in the last week interim Big Dipper or gps data collected Speed be vt-1, then the anxious deceleration driving behavior score value x of Current vehicle4It can be calculated by following piecewise functions：6) the step of calculating night running driving behavior score value：If driving behavior of the vehicle between 20 points to 6 points of next day is nighttime driving behavior；Current the collection Big Dipper or gps data In night running time cumulation be ty, then the night running driving behavior score value x of Current vehicle5It can be calculated by following formula Obtain：x5=10ty7) the step of calculating fatigue driving behavior score value：If the behavior that vehicle continuously drives more than 4 hours is fatigue driving behavior；In current the collection Big Dipper or gps data It is t to continuously drive time cumulationp, then the fatigue driving behavior score value x of Current vehicle6It can be calculated by following formula：8) a step of calculating vehicle real-time driving behavior quality comprehensive grading：If D is vehicle drive behavior score；The initial driving of vehicle is scored at full marks 100 and divided, and is driven if above-mentioned six kinds of individual events occur Behavior then subtracts corresponding score value, then the last real time comprehensive scoring for just obtaining Current vehicle driving behavior, Rating Model tool Body is as follows：D=100- (0.135x1+0.168x2+0.205x3+0.191x4+0.06x5+0.24x6)。
- A kind of 2. good and bad assessment side of the real-time driving behavior of vehicle based on the Big Dipper or gps data according to claim 1 Method, it is characterised in that：The previous cycle in step 3), step 4), step 5) is 25~35 seconds data gathered before.
- A kind of 3. good and bad assessment side of the real-time driving behavior of vehicle based on the Big Dipper or gps data according to claim 1 Method, it is characterised in that：The cycle of data acquisition is 30 seconds in step 1).
- 4. according to the real-time driving behavior quality appraisal procedure of a kind of vehicle based on the Big Dipper or gps data described in claim 1, It is characterized in that：The previous cycle in step 3), step 4), step 5) is 30 seconds data gathered before.
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| CN109118040A (en) * | 2018-06-27 | 2019-01-01 | 上海经达信息科技股份有限公司 | A kind of car steering behavior evaluation method based on Fuzzy AHP |
| CN109448387A (en) * | 2018-10-17 | 2019-03-08 | 眉山德鑫航空设备股份有限公司 | Trajectory-based violation travels determination method |
| CN109493566A (en) * | 2018-12-18 | 2019-03-19 | 长安大学 | A kind of fatigue driving prediction technique based on GPS data |
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| CN110276954A (en) * | 2019-06-28 | 2019-09-24 | 青岛无车承运服务中心有限公司 | Vehicle driving behavior integration methods of marking based on BEI-DOU position system |
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| CN113128863A (en) * | 2021-04-16 | 2021-07-16 | 长春工业大学 | Duration-based bad driving behavior evaluation method |
| CN113628415A (en) * | 2021-07-08 | 2021-11-09 | 中铁大桥局集团有限公司 | Bridge construction pavement heavy-load vehicle driving safety early warning method and system |
| CN113997940A (en) * | 2021-12-20 | 2022-02-01 | 镁佳(北京)科技有限公司 | Driving behavior monitoring method and device |
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Application publication date: 20180109 |