CN105930771A - Driving behavior grading method and device - Google Patents
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Abstract
The invention discloses a driving behavior grading method and device, and belongs to the technical field of vehicle driving behavior analysis. The method comprises that vehicle driving data corresponding to a driver to be graded is obtained according to identification of the driver; face behavior data when the driver to be graded drives a vehicle is obtained according to the identification of the driver; and the driver is graded according to the vehicle driving data and the face behavior data. Thus, driving behaviors of different drivers who drive the same vehicle are graded respectively.
Description
Technical field
The present embodiments relate to vehicle drive behavioral analysis technology field, particularly relate to a kind of driving behavior and comment
Divide method and device.
Background technology
Along with growth in the living standard, the quantity of motor vehicles also gets more and more, and every household has substantially
Private car, meanwhile, networking of in recent years sending a car develops rapidly, therefore, be combined with car networking technology based on car owner
Driving behavior carries out the vehicle insurance product fixed a price and gets more and more, and to whole vehicle insurance industry from the point of view of, based on car owner
The release of vehicle insurance product that driving behavior carries out fixing a price is more favorable to the value tribute promoting vehicle insurance industry to society
Offering, this is mainly reflected in the vehicle insurance product carrying out fixing a price based on car owner's driving behavior and has positive safe driving
The safe driving oneself screening of consumption view and driver, self-remoulding function, thus realize society's traffic accident
The decline of rate, and then reach society, client, underwriter three aspect win-win.
In realizing process of the present invention, inventor finds that in actual life, at least there are the following problems: Che Zhuru
Fruit wants the car insurance policy enjoyed privileges, and needs to drive the driving behavior of car owner based on vehicle data
Behavior scoring, but different driver-operated situation easily occurs in same car, and the driving of each driver
Sail behavioural habits again not exclusively as, the most existing based on vehicle data, the driving behavior of car owner is commented
Easily there is the daily driving driving behavior of inequitable situation, such as car owner very for car owner in the method divided
Good, lend friend once in a while or time other households use, if there is bad steering custom person, driving of this vehicle
Sail behavior scoring must be affected, even if car owner keeps good driving habits thus, but
But can not get preferential insurance policies.
Accordingly, it would be desirable to existing driving behavior methods of marking based on vehicle data is improved, to realize
Driving behavior scoring for different drivers.
Summary of the invention
Embodiments provide a kind of driving behavior methods of marking and device, to realize driving for difference
The driving behavior scoring of member.
First aspect, embodiments provides a kind of driving behavior methods of marking, and the method includes:
Mark according to driver to be marked obtains should the vehicle operation data of driver；
According to wait mark driver mark obtain described in wait mark driver vehicle time facial behavior number
According to；
According to described vehicle operation data and described face behavioral data, described driver to be marked is marked.
Exemplarily, treat that scoring is driven according to described vehicle operation data and described face behavioral data to described
Member marks, and also includes:
According to described vehicle operation data determine described in the driving behavior score of driver to be marked；
According to described face behavioral data determine described in the facial behavior score of driver to be marked；
According to described driving behavior score and face behavior score determine described in the driving behavior of driver to be marked
Scoring.
Further, according to described face behavioral data determine described in the facial behavior score of driver to be marked,
Including:
Use formula STF=∑ NiSiThe facial behavior score of driver to be marked described in being calculated, wherein,
STFFor the facial behavior score of described driver to be marked, NiFor weighted factor, SiFor i-th drive cycle
Septum reset behavior is reached cumulative time of desired value by initial value and accounts for the percentage of drive cycle, and i is for being more than or equal to
The integer of 1；
Correspondingly, according to described driving behavior score and face behavior score determine described in driver to be marked
Driving behavior is marked, including:
Use formula STOT=NTSTF+(1-NT)STVThe driving of driver to be marked described in being calculated
Behavior scoring, wherein, STOTDriving behavior for described driver to be marked is marked, NTFor dynamic weighting because of
Son, STFFor face behavior score, STVFor driving behavior score.
Further, when vehicle operation data corresponding to described driver to be marked and face behavioral data from
During multiple vehicle, described according to described face behavioral data determine described in the facial behavior of driver to be marked obtain
Point, including:
Use formula S=[∑ (STOT)j*tj]/T be calculated described in driver to be marked driving behavior scoring,
Wherein, S be described in driver to be marked total driving behavior scoring, (STOT)jFor driver j to be marked
Driving behavior scoring corresponding during vehicle, tjFor the time of driver j vehicle to be marked, T is for waiting to mark
The driving total time of driver, j is the integer more than 1；Or
Use formula S=[∑ (STOT)j*sj]/D be calculated described in driver to be marked driving behavior scoring,
Wherein, S be described in driver to be marked total driving behavior scoring, (STOT)jFor driver j to be marked
Driving behavior scoring corresponding during vehicle, sjFor the mileage of driver j vehicle to be marked, D is for waiting to mark
The driving total kilometrage of driver, j is the integer more than 1.
Preferably, described vehicle operation data includes vehicle speed information, Vehicular turn information, vehicle location
One or more in information and car braking information；
Described face behavioral data includes driver's emotional information, drives focus information, and bad steering
Any one or the most multinomial in habits information.
Further, described method also includes:
Vehicle operation data is classified by the identification code according to driver identification and vehicle, obtains each driver
The vehicle operation data of corresponding particular vehicle.
The facial behavioral data of driver is classified by the identification code according to driver identification and vehicle, obtains
Facial behavioral data corresponding during each driver particular vehicle.
Further, described method also includes: by vehicle operation data corresponding for each driver and face behavior
Data are saved in cloud platform.
Preferably, vehicle operation data corresponding for each driver and face behavioral data are saved in cloud platform,
Including:
By remote communication module, vehicle operation data corresponding for each driver and face behavioral data are uploaded to
Cloud platform；
Or by short range communication devices by vehicle operation data corresponding for each driver and face behavioral data
Reach mobile terminal, so that described mobile terminal is by vehicle operation data corresponding for each driver and face behavior
Data are uploaded to cloud platform.Second aspect, the embodiment of the present invention additionally provides a kind of driving behavior scoring apparatus,
This device includes:
First acquisition module, for the mark acquisition according to driver mark to should the vehicle row of driver
Sail data；
Second acquisition module, for driver to be marked described in the mark acquisition according to driver to be marked
Facial behavioral data during vehicle；
Grading module, for marking to described waiting according to described vehicle operation data and described face behavioral data
Driver marks.
Further, institute's scoring module includes:
First determines unit, the driving of driver to be marked described in determine according to described vehicle operation data
Behavior score；
Second determines unit, the face of driver to be marked described in determine according to described face behavioral data
Behavior score；
Scoring unit, treats that scoring is driven described in determining according to described driving behavior score and face behavior score
The driving behavior scoring of the person of sailing.
Exemplarily, described second determine unit specifically for:
Use formula STF=∑ NiSiThe facial behavior score of driver to be marked described in being calculated, wherein,
STFFor the facial behavior score of described driver to be marked, NiFor weighted factor, SiFor i-th drive cycle
Septum reset behavior is reached cumulative time of desired value by initial value and accounts for the percentage of drive cycle, and i is for being more than or equal to
The integer of 1；
Correspondingly, scoring unit specifically for:
Use formula STOT=NTSTF+(1-NT)STVThe driving of driver to be marked described in being calculated
Behavior scoring, wherein, STOTDriving behavior for described driver to be marked is marked, NTFor dynamic weighting because of
Son, STFFor face behavior score, STVFor driving behavior score.
Exemplarily, when vehicle operation data corresponding to described driver to be marked and face behavioral data from
During multiple vehicle, described second determine unit specifically for:
Use formula S=[∑ (STOT)j*tj]/T be calculated described in driver to be marked driving behavior scoring,
Wherein, S be described in driver to be marked total driving behavior scoring, (STOT)jFor driver j to be marked
Driving behavior scoring corresponding during vehicle, tjFor the time of driver j vehicle to be marked, T is for waiting to mark
The driving total time of driver, j is the integer more than 1；Or
Use formula S=[∑ (STOT)j*sj]/D be calculated described in driver to be marked driving behavior scoring,
Wherein, S be described in driver to be marked total driving behavior scoring, (STOT)jFor driver j to be marked
Driving behavior scoring corresponding during vehicle, sjFor the mileage of driver j vehicle to be marked, D is for waiting to mark
The driving total kilometrage of driver, j is the integer more than 1.
Preferably, described vehicle operation data includes vehicle speed information, Vehicular turn information, vehicle location
One or more in information and car braking information；Described face behavioral data include driver's emotional information,
Drive any one or the most multinomial in focus information, and bad steering habits information.
Further, described device also includes:
First sort module, for carrying out vehicle operation data according to the identification code of driver identification and vehicle
Classification, obtains the vehicle operation data of particular vehicle corresponding to each driver.
Second sort module, is used for the facial behavior to driver of the identification code according to driver identification and vehicle
Data are classified, and obtain facial behavioral data corresponding during each driver particular vehicle.
Further, described device also includes:
Preserve module, for vehicle operation data corresponding for each driver and face behavioral data are saved in cloud
In platform.
Exemplarily, described preservation module includes:
First uploading unit, for by remote communication module by vehicle operation data corresponding for each driver and
Face behavioral data is uploaded to cloud platform；Or
Second uploading unit, for by short range communication devices by vehicle operation data corresponding for each driver and
Face behavioral data is uploaded to mobile terminal, so that vehicle corresponding for each driver is travelled by described mobile terminal
Data and face behavioral data are uploaded to cloud platform.
The driving behavior methods of marking that the embodiment of the present invention provides, is obtained by the mark according to driver to be marked
Take vehicle operation data and face behavioral data, be specific to described in driver mark vehicle traveling number
According to this and corresponding face behavioral data, then according to described vehicle operation data and face behavioral data to institute
State driver to be marked to mark.Achieve when same vehicle is out-of-date, for not by different driver
Mark with the driving behavior of driver.
Accompanying drawing explanation
Fig. 1 is a kind of driving behavior methods of marking schematic flow sheet that the embodiment of the present invention one provides；
Fig. 2 is a kind of driving behavior methods of marking schematic flow sheet that the embodiment of the present invention two provides；
Fig. 3 is a kind of driving behavior methods of marking schematic flow sheet that the embodiment of the present invention three provides；
Fig. 4 is a kind of driving behavior methods of marking schematic flow sheet that the embodiment of the present invention four provides.
Detailed description of the invention
The present invention is described in further detail with embodiment below in conjunction with the accompanying drawings.It is understood that this
Specific embodiment described by place is used only for explaining the present invention, rather than limitation of the invention.The most also need
It is noted that for the ease of describing, accompanying drawing illustrate only part related to the present invention and not all knot
Structure.
It should be mentioned that, some exemplary embodiment quilts before being discussed in greater detail exemplary embodiment
It is described as process or the method described as flow chart.Although every step is described as the place of order by flow chart
Reason, but many of which step can be implemented concurrently, concomitantly or simultaneously.Additionally, every step
Rapid order can be rearranged.When its step completes, described process can be terminated, it is also possible to
There is the additional step being not included in accompanying drawing.Described process can correspond to method, function, code, son
Routine, subprogram etc..
Embodiment one
The flow chart of a kind of driving behavior methods of marking that Fig. 1 provides for the embodiment of the present invention one, the present embodiment
It is applicable to carry out for different drivers according to the vehicle operation data being specific to each driver to be marked
Driving behavior scoring situation, the method can be performed by driving behavior scoring apparatus.This device can lead to
The mode crossing hardware and/or software realizes.The method specifically includes:
S110, according to the mark acquisition of driver mark to should the vehicle operation data of driver.
Wherein, the mark of driver to be marked described in include following at least one: the face of driver to be marked,
The fingerprint of driver to be marked and the identity of driver to be marked.Described identity is concretely described
The log-on message of driver to be marked, coding or identification card number etc., described identity can pass through Traffic Administration Bureau
Obtain；The face of described driver to be marked can be obtained by vehicle-mounted camera or video camera, and then also may be used
With by the existing human face recognition model identification distinctive identity recognition number of each driver, to distinguish different driving
The person of sailing.
Preferably, described vehicle operation data can include vehicle speed information, Vehicular turn information, vehicle
One or more in positional information and car braking information, such as vehicle urgency acceleration times, anxious deceleration number of times,
Hypervelocity number of times, the number of times that takes a sudden turn, number of times of bringing to a halt；Following distance, vehicle trouble, driving can also be included
Period, driving range, DTC, classification violating the regulations and the information such as number of times, history maintenance log, as above
Described information can be gathered by onboard diagnostic system or the mode such as vehicle bus or global positioning module
To and be saved in cloud platform in case calling, some information is potentially stored in local data base, such as anxious accelerates
Number of times or anxious deceleration number of times etc., then these information can upload to cloud platform by remote communication module,
Or send mobile terminal to by short range communication devices, then uploaded to internet cloud platform by mobile terminal；
Described mobile terminal device includes but not limited to smart mobile phone and panel computer.
It should be noted that because each car is likely to by different driver, same, often
One driver is also likely to drive different vehicles, therefore, carries out marking it treating scoring driver
Before, need the mark acquisition according to driver mark belong to described in the vehicle operation data of driver to be marked,
Can not be merely with all running datas of a certain car as score basis, all travelings based on a certain vehicle
It is inaccurate that data treat scoring driver's result of carrying out marking.
Vehicle described in the embodiment of the present invention can be self driving or taxi etc..
S120, the basis face wait described in the mark of the driver that marks obtains until scoring driver vehicle time
Behavioral data.
Preferably, described face behavioral data can include driver's emotional information and/or drive focus information,
Described driver's emotional information can be specifically indignation, sad, glad, detest, tired etc., described driving
Focus information specifically can show the eyes aperture of driver, the three-dimensional vector of face orientation or sight line
Towards three-dimensional vector etc.；Described facial behavioral data can be known by existing human face recognition model
Not, the face image data that input is driver of model, output can be the numerical value characterizing driver's mood,
Or characterize the data of driver's focus.
Exemplarily, described face behavioral data can also include that the bad steering custom category of driver is with secondary
Number, such as yawning number of times in driving procedure, the number of times etc. of fatigue driving.
S130, according to described vehicle operation data and described face behavioral data described driver to be marked is entered
Row scoring.
Have a variety of according to the rule that described driver to be marked is marked by described vehicle operation data, example
As being by analyzing the impact on safe driving of each the vehicle operation data, based on each vehicle row
Sailing data to mark driving behavior, in the most each drive cycle, the scoring initial value of driver is 100
Point, when occur once with car is close do not note the behavior maintained safe distance time, deduct 1 point, when appearance once surpass
During speed traveling behavior, deduction 5 grades, final must be divided into this drive cycle in the scoring of described driver, its
In a drive cycle may refer to from vehicle launch to vehicle stall.Many for corresponding multiple drive cycle
Individual appraisal result can carry out the mark of finally marking as this driver of averaging, and certainly can also is that it
His code of points, the embodiment of the present invention is not limited thereof.Because the facial behavioral data one of driver
Reflect driver's state of mind in driving procedure with determining degree, if the state of mind of driver is good,
Such as focus is high, the most tired, and mood does not has great fluctuation process etc. then it is believed that the driving behavior of driver is good,
Scoring now should be higher, otherwise, then scoring should be lower.Therefore by combining described vehicle row
Sail data and described driver to be marked is marked by described face behavioral data so that appraisal result is more
Accurately.
The driving behavior methods of marking that the embodiment of the present invention provides, is obtained by the mark according to driver to be marked
Take vehicle operation data and face behavioral data, be specific to described in driver mark vehicle traveling number
According to this and corresponding face behavioral data, then according to described vehicle operation data and face behavioral data to institute
State driver to be marked to mark.Achieve when same vehicle is out-of-date, for not by different driver
Mark with the driving behavior of driver.
Embodiment two
The schematic flow sheet of a kind of driving behavior methods of marking that Fig. 2 provides for the embodiment of the present invention two, upper
On the basis of stating embodiment, the present embodiment to S130 according to described vehicle operation data and described face behavior number
Having carried out further optimization according to described driver to be marked carries out scoring, the benefit so optimized is can be accurate
Really treat scoring driver to mark
Referring specifically to shown in Fig. 2, the method specifically includes:
S310, according to the mark acquisition of driver mark to should the vehicle operation data of driver.
S320, the basis face wait described in the mark of the driver that marks obtains until scoring driver vehicle time
Behavioral data.
S330, according to described vehicle operation data determine described in the driving behavior score of driver to be marked.
Preferably, described driving behavior score is more than or equal to 0 and less than or equal to 100.According to described vehicle row
Sail data determine described in the specific rules of driving behavior score of driver to be marked be referred to the present invention and implement
The explanation of the S120 in example one, the embodiment of the present invention is not limited thereof.
S340, according to described face behavioral data determine described in the facial behavior score of driver to be marked.
Exemplarily, above-mentioned steps specifically can use formula STF=∑ NiSiTreat described in being calculated that scoring is driven
The facial behavior score of the person of sailing, wherein, STFFor the facial behavior score of described driver to be marked, NiFor adding
Weight factor, can be adjusted the impact of safe driving according to face behavior, typically, and NiBe 0 to 1
Between decimal；Each facial behavior participating in scoring has the desired value of an initial setting, drives at one
Sail cycle septum reset Activity recognition model and export certain numerical value in real time, constantly go initially to set close to described
Fixed desired value, SiThe cumulative time being reached desired value by initial value for i-th drive cycle septum reset behavior accounts for
The percentage of drive cycle, all exporting i is the integer more than or equal to 1.
S350, according to described driving behavior score and face behavior score determine described in the driving of driver to be marked
Sail behavior scoring.
With step S340 correspondingly, determine described to be evaluated according to described driving behavior score and face behavior score
Divide the driving behavior scoring of driver, including:
Use formula STOT=NTSTF+(1-NT)STVThe driving of driver to be marked described in being calculated
Behavior scoring, wherein, STOTDriving behavior for described driver to be marked is marked, NTFor dynamic weighting because of
Son, STFFor face behavior score, STVFor driving behavior score.
It should be noted that above-mentioned scoring STOTFor vehicle row based on same car of same driver
Sail data and face behavioral data carries out marking and obtains, but same driver may a lot of of drive the cross
Car, the most same car is likely to by multiple driver mistakes, so for same driving to be marked
For Yuan, a lot of scoring S can be obtainedTδT, therefore, exemplarily, when described driver to be marked is corresponding
Vehicle operation data and face behavioral data from multiple vehicle time, described according to described face behavioral data
The facial behavior score of driver to be marked described in determining, including:
Use formula S=[∑ (STOT)j*tj]/T be calculated described in driver to be marked driving behavior scoring,
Wherein, S be described in driver to be marked total driving behavior scoring, (STOT)jFor driver j to be marked
Driving behavior scoring corresponding during vehicle, tjFor the time of driver j vehicle to be marked, T is for waiting to mark
The driving total time of driver, j is the integer more than 1；Or
Use formula S=[∑ (STOT)j*sj]/D be calculated described in driver to be marked driving behavior scoring,
Wherein, S be described in driver to be marked total driving behavior scoring, (STOT)jFor driver j to be marked
Driving behavior scoring corresponding during vehicle, sjFor the mileage of driver j vehicle to be marked, D is for waiting to mark
The driving total kilometrage of driver, j is the integer more than 1.
Same reason, when same car is out-of-date by multiple driver, if expecting the one of this car
The when of individual driving behavior scoring, it would however also be possible to employ above-mentioned algorithm calculates, corresponding, use formula
S=[∑ (STOT)j*tjWhen]/T calculates, S is total driving behavior scoring of described vehicle, (STOT)jFor driver
J drives driving behavior scoring corresponding during described vehicle, tjThe time of described vehicle, T is driven for driver j
The total time driven for described vehicle；Or use formula S=[∑ (STOT)j*sjWhen]/D calculates, S is described
Total driving behavior scoring of vehicle, (STOT)jDriving behavior corresponding when driving described vehicle for driver j is commented
Point, sjDrive the mileage of described vehicle for driver j, D is the total kilometrage that described vehicle is driven.
The driving behavior methods of marking that the present embodiment provides, on the basis of above-described embodiment, by obtaining institute
State the facial behavioral data when scoring driver vehicle, and then according to described vehicle operation data and institute
State face behavioral data described driver to be marked is marked, it is achieved that treat scoring from many aspects and drive
The driving behavior of member is marked, and then makes final appraisal result more accurate, more has specific aim.
Embodiment three
The schematic flow sheet of a kind of driving behavior methods of marking that Fig. 3 provides for the embodiment of the present invention three, this reality
Execute example and be applicable to same vehicle by multiple driver-operated situations, on the basis of above-described embodiment, this
Embodiment add to from multiple drivers vehicle operation data and face behavioral data classification, so
The benefit optimized is to be quickly obtained vehicle operation data corresponding to each driver and face behavioral data,
Referring specifically to shown in Fig. 3, the method specifically includes:
Vehicle operation data is classified by S410a, identification code according to driver identification and vehicle, obtains each
The vehicle operation data of the particular vehicle that driver is corresponding.
The facial behavioral data of driver is classified by S410b, identification code according to driver identification and vehicle,
Obtain facial behavioral data corresponding during each driver particular vehicle.
S420a, according to described vehicle operation data determine described in the driving behavior score of driver to be marked.
S420b, according to described face behavioral data determine described in the facial behavior score of driver to be marked.
S430, according to described driving behavior score and face behavior score determine described in the driving of driver to be marked
Sail behavior scoring.The driving behavior methods of marking that the present embodiment provides is on the basis of above-described embodiment, logical
Cross and vehicle operation data and the face behavioral data from multiple drivers is classified, obtained each driving
The vehicle operation data of member's correspondence and face behavioral data, so corresponding to described driver to be marked respectively
Vehicle operation data and face behavioral data are given a mark, and obtain driving behavior score and face behavior score,
Finally according to described driving behavior score and face behavior score determine described in the driving behavior of driver to be marked
Scoring, it is achieved that the driving behavior treating scoring driver from many aspects is marked, and then makes final
Appraisal result is more accurate, more has specific aim.
Further, on the basis of the technical scheme of the various embodiments described above, described method can also include:
Vehicle operation data corresponding for each driver and face behavioral data are saved in cloud platform.
Preferably, vehicle operation data corresponding for each driver and face behavioral data are saved in cloud platform,
May include that
By remote communication module, vehicle operation data corresponding for each driver and face behavioral data are uploaded to
Cloud platform；
Or by short range communication devices by vehicle operation data corresponding for each driver and face behavioral data
Reach mobile terminal, so that described mobile terminal is by vehicle operation data corresponding for each driver and face behavior
Data are uploaded to cloud platform.
Embodiment four
On the basis of above-described embodiment, a kind of driving behavior scoring that Fig. 4 provides for the embodiment of the present invention four
The structural representation of device.Shown in Figure 4, this device specifically includes: the first acquisition module 510,
Two acquisition modules 520 and grading module 530, wherein, the first acquisition module 510 is for according to treating that scoring is driven
The mark of the person of sailing obtains should the vehicle operation data of driver；Second acquisition module 520 is for according to treating
Scoring driver mark obtain described in wait mark driver vehicle time facial behavioral data；Scoring mould
Block 530 is for entering described driver to be marked according to described vehicle operation data and described face behavioral data
Row scoring.
Exemplarily, grading module 530 may include that
First determines unit, the driving of driver to be marked described in determine according to described vehicle operation data
Behavior score；Second determines unit, for according to described face behavioral data determine described in driver to be marked
Facial behavior score；Scoring unit, for determining according to described driving behavior score and face behavior score
The driving behavior scoring of described driver to be marked.
Preferably, described driving behavior score is more than or equal to 0 and less than or equal to 100.
Further, described second determines that unit specifically may be used for:
Use formula STF=∑ NiSiThe facial behavior score of driver to be marked described in being calculated, wherein,
STFFor the facial behavior score of described driver to be marked, NiFor weighted factor, SiFor i-th drive cycle
Septum reset behavior is reached cumulative time of desired value by initial value and accounts for the percentage of drive cycle, and i is for being more than or equal to
The integer of 1；
Correspondingly, scoring unit specifically may be used for:
Use formula STOT=NTSTF+ (1-NT)STVThe driving of driver to be marked described in being calculated
Behavior scoring, wherein, STOTDriving behavior for described driver to be marked is marked, NTFor dynamic weighting because of
Son, STFFor face behavior score, STVFor driving behavior score.
Further, when vehicle operation data corresponding to described driver to be marked and face behavioral data from
During multiple vehicle, described second determines that unit specifically may be used for:
Use formula S=[∑ (STOT)j*tj]/T be calculated described in driver to be marked driving behavior scoring,
Wherein, S be described in driver to be marked total driving behavior scoring, (STOT)jFor driver j to be marked
Driving behavior scoring corresponding during vehicle, tjFor the time of driver j vehicle to be marked, T is for waiting to mark
The driving total time of driver, j is the integer more than 1；Or
Use formula S=[∑ (STOT)j*sj]/D be calculated described in driver to be marked driving behavior scoring,
Wherein, S be described in driver to be marked total driving behavior scoring, (STOT)jFor driver j to be marked
Driving behavior scoring corresponding during vehicle, sjFor the mileage of driver j vehicle to be marked, D is for waiting to mark
The driving total kilometrage of driver, j is the integer more than 1.
Preferably, described vehicle operation data includes vehicle speed information, Vehicular turn information, vehicle location
One or more in information and car braking information；Described face behavioral data includes driver's emotional information
And/or drive focus information.
Further, described device can also include:
First sort module, for carrying out vehicle operation data according to the identification code of driver identification and vehicle
Classification, obtains the vehicle operation data of particular vehicle corresponding to each driver.Further, described device is also
May include that
Second sort module, is used for the facial behavior to driver of the identification code according to driver identification and vehicle
Data are classified, and obtain facial behavioral data corresponding during each driver particular vehicle.
Further, described device can also include:
Preserve module, for vehicle operation data corresponding for each driver and face behavioral data are saved in cloud
In platform.
Exemplarily, described preservation module may include that
First uploading unit, for by remote communication module by vehicle operation data corresponding for each driver and
Face behavioral data is uploaded to cloud platform；Or
Second uploading unit, for by short range communication devices by vehicle operation data corresponding for each driver and
Face behavioral data is uploaded to mobile terminal, so that vehicle corresponding for each driver is travelled by described mobile terminal
Data and face behavioral data are uploaded to cloud platform.
The driving behavior scoring apparatus that the embodiment of the present invention provides, is obtained by the mark according to driver to be marked
Take vehicle operation data and face behavioral data, be specific to described in driver mark vehicle traveling number
According to this and corresponding face behavioral data, then according to described vehicle operation data and face behavioral data to institute
State driver to be marked to mark.Achieve when same vehicle is out-of-date, for not by different driver
Mark with the driving behavior of driver.
The said goods can perform the method that any embodiment of the present invention is provided, and possesses the corresponding merit of execution method
Can module and beneficial effect.
It will be appreciated by those skilled in the art that all or part of step realizing in above-described embodiment method is permissible
Instructing relevant hardware by program to complete, this program is stored in a storage medium, including some
Instruct with so that an equipment (can be single-chip microcomputer, chip etc.) or processor (processor) perform
All or part of step of method described in each embodiment of the application.And aforesaid storage medium includes: USB flash disk,
Portable hard drive, read-only storage (ROM, Read-Only Memory), random access memory (RAM,
Random Access Memory), the various media that can store program code such as magnetic disc or CD.
Note, above are only presently preferred embodiments of the present invention and institute's application technology principle.Those skilled in the art
It will be appreciated that the invention is not restricted to specific embodiment described here, can enter for a person skilled in the art
Row various obvious changes, readjust and substitute without departing from protection scope of the present invention.Therefore, though
So by above example, the present invention is described in further detail, but the present invention be not limited only to
Upper embodiment, without departing from the inventive concept, it is also possible to include other Equivalent embodiments more,
And the scope of the present invention is determined by scope of the appended claims.
Claims (18)
1. a driving behavior methods of marking, it is characterised in that including:
Mark according to driver to be marked obtains should the vehicle operation data of driver；
According to wait mark driver mark obtain described in wait mark driver vehicle time facial behavior number
According to；
According to described vehicle operation data and described face behavioral data, described driver to be marked is marked.
Method the most according to claim 1, it is characterised in that according to described vehicle operation data and institute
State face behavioral data described driver to be marked is marked, also include:
According to described vehicle operation data determine described in the driving behavior score of driver to be marked；
According to described face behavioral data determine described in the facial behavior score of driver to be marked；
According to described driving behavior score and face behavior score determine described in the driving behavior of driver to be marked
Scoring.
Method the most according to claim 2, it is characterised in that determine according to described face behavioral data
The facial behavior score of described driver to be marked, including:
Use formula STF=∑ NiSiThe facial behavior score of driver to be marked described in being calculated, wherein,
STFFor the facial behavior score of described driver to be marked, NiFor weighted factor, SiFor i-th drive cycle
Septum reset behavior is reached cumulative time of desired value by initial value and accounts for the percentage of drive cycle, and i is for being more than or equal to
The integer of 1；
Accordingly, according to described driving behavior score and face behavior score determine described in driver to be marked
Driving behavior is marked, including:
Use formula STOT=NTSTF+(1-NT)STVThe driving of driver to be marked described in being calculated
Behavior scoring, wherein, STOTDriving behavior for described driver to be marked is marked, NTFor dynamic weighting because of
Son, STFFor face behavior score, STVFor driving behavior score.
Method the most according to claim 3, it is characterised in that when described driver to be marked is corresponding
When vehicle operation data and face behavioral data are from multiple vehicle, described true according to described face behavioral data
The facial behavior score of driver to be marked described in Ding, including:
Use formula S=[∑ (STOT)j*tj]/T be calculated described in driver to be marked driving behavior scoring,
Wherein, S be described in driver to be marked total driving behavior scoring, (STOT)jFor driver j to be marked
Driving behavior scoring corresponding during vehicle, tjFor the time of driver j vehicle to be marked, T is for waiting to mark
The driving total time of driver, j is the integer more than 1；Or
Use formula S=[∑ (STOT)j*sj]/D be calculated described in driver to be marked driving behavior scoring,
Wherein, S be described in driver to be marked total driving behavior scoring, (STOT)jFor driver j to be marked
Driving behavior scoring corresponding during vehicle, sjFor the mileage of driver j vehicle to be marked, D is for waiting to mark
The driving total kilometrage of driver, j is the integer more than 1.
5. according to the method described in any one of Claims 1 to 4, it is characterised in that:
Described vehicle operation data includes vehicle speed information, Vehicular turn information, vehicle position information and car
Any one or the most multinomial in braking information；
Described face behavioral data includes driver's emotional information, drives focus information, and bad steering
Any one or the most multinomial in habits information.
6. according to the method described in any one of Claims 1 to 4, it is characterised in that also include:
Vehicle operation data is classified by the identification code according to driver identification and vehicle, obtains each driver
The vehicle operation data of corresponding particular vehicle.
7. according to the method described in any one of Claims 1 to 4, it is characterised in that also include:
The facial behavioral data of driver is classified by the identification code according to driver identification and vehicle, obtains
Facial behavioral data corresponding during each driver particular vehicle.
8. according to the method described in any one of Claims 1 to 4, it is characterised in that also include:
Vehicle operation data corresponding for each driver and face behavioral data are saved in cloud platform.
Method the most according to claim 8, it is characterised in that vehicle corresponding for each driver is travelled
Data and face behavioral data are saved in cloud platform, including:
By remote communication module, vehicle operation data corresponding for each driver and face behavioral data are uploaded to
Cloud platform；
Or by short range communication devices by vehicle operation data corresponding for each driver and face behavioral data
Reach mobile terminal, so that described mobile terminal is by vehicle operation data corresponding for each driver and face behavior
Data are uploaded to cloud platform.
10. a driving behavior scoring apparatus, it is characterised in that including:
First acquisition module, for the mark acquisition according to driver mark to should the vehicle row of driver
Sail data；
Second acquisition module, for driver to be marked described in the mark acquisition according to driver to be marked
Facial behavioral data during vehicle；
Grading module, for marking to described waiting according to described vehicle operation data and described face behavioral data
Driver marks.
11. devices according to claim 10, it is characterised in that institute's scoring module includes:
First determines unit, the driving of driver to be marked described in determine according to described vehicle operation data
Behavior score；
Second determines unit, the face of driver to be marked described in determine according to described face behavioral data
Behavior score；
Scoring unit, treats that scoring is driven described in determining according to described driving behavior score and face behavior score
The driving behavior scoring of the person of sailing.
12. devices according to claim 11, it is characterised in that described second determines that unit is specifically used
In:
Use formula STF=∑ NiSiThe facial behavior score of driver to be marked described in being calculated, wherein,
STFFor the facial behavior score of described driver to be marked, NiFor weighted factor, SiFor i-th drive cycle
Septum reset behavior is reached cumulative time of desired value by initial value and accounts for the percentage of drive cycle, and i is for being more than or equal to
The integer of 1；
Correspondingly, scoring unit specifically for:
Use formula STOT=NTSTF+(1-NT)STVThe driving of driver to be marked described in being calculated
Behavior scoring, wherein, STOTDriving behavior for described driver to be marked is marked, NTFor dynamic weighting because of
Son, STFFor face behavior score, STVFor driving behavior score.
13. devices according to claim 12, it is characterised in that when described driver to be marked is corresponding
Vehicle operation data and face behavioral data from multiple vehicle time, described second determine unit specifically for:
Use formula S=[∑ (STOT)j*tj]/T be calculated described in driver to be marked driving behavior scoring,
Wherein, S be described in driver to be marked total driving behavior scoring, (STOT)jFor driver j to be marked
Driving behavior scoring corresponding during vehicle, tjFor the time of driver j vehicle to be marked, T is for waiting to mark
The driving total time of driver, j is the integer more than 1；Or
Use formula S=[∑ (STOT)j*sj]/D be calculated described in driver to be marked driving behavior scoring,
Wherein, S be described in driver to be marked total driving behavior scoring, (STOT)jFor driver j to be marked
Driving behavior scoring corresponding during vehicle, sjFor the mileage of driver j vehicle to be marked, D is for waiting to mark
The driving total kilometrage of driver, j is the integer more than 1.
14. according to the device described in any one of claim 10-13, it is characterised in that
Described vehicle operation data includes vehicle speed information, Vehicular turn information, vehicle position information and car
Any one or the most multinomial in braking information；
Described face behavioral data includes driver's emotional information, drives focus information and bad steering habit
Any one or the most multinomial in used information.
15. according to the device described in any one of claim 10-13, it is characterised in that also include:
First sort module, for carrying out vehicle operation data according to the identification code of driver identification and vehicle
Classification, obtains the vehicle operation data of particular vehicle corresponding to each driver.
16. according to the device described in any one of claim 10-13, it is characterised in that also include:
Second sort module, is used for the facial behavior to driver of the identification code according to driver identification and vehicle
Data are classified, and obtain facial behavioral data corresponding during each driver particular vehicle.
17. according to the device described in any one of claim 10～13, it is characterised in that also include:
Preserve module, for vehicle operation data corresponding for each driver and face behavioral data are saved in cloud
In platform.
18. devices according to claim 17, it is characterised in that described preservation module includes:
First uploading unit, for by remote communication module by vehicle operation data corresponding for each driver and
Face behavioral data is uploaded to cloud platform；Or
Second uploading unit, for by short range communication devices by vehicle operation data corresponding for each driver and
Face behavioral data is uploaded to mobile terminal, so that vehicle corresponding for each driver is travelled by described mobile terminal
Data and face behavioral data are uploaded to cloud platform.
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