CN105654574A - Vehicle equipment-based driving behavior evaluation method and vehicle equipment-based driving behavior evaluation device - Google Patents
Vehicle equipment-based driving behavior evaluation method and vehicle equipment-based driving behavior evaluation device Download PDFInfo
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- G07C5/00—Registering or indicating the working of vehicles
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Abstract
The invention provides a vehicle equipment-based driving behavior evaluation method and a vehicle equipment-based driving behavior evaluation device. The method comprises the steps of selecting vehicle equipment to acquire three driving behavior factors, i.e., vehicle mileage on that day, vehicle duration on that day and vehicle average speed per hour which are taken as factors for evaluating a driving behavior, then further comparing current driving behavior factors of a vehicle with reference values, calculating the deviation between the driving behavior factors and the corresponding reference values, and accumulating the results to obtain numerical driving behavior values; further obtaining corresponding categories according to different score area ranges; combining different scenes to realize applications such as schematic evaluation, driving situation reference evaluation and the like to provide suggestions and risk prompts for corresponding driving behaviors of a user. Therefore, the aim of enabling the user to form a good driving habit is achieved; furthermore, the method and the device are also used for launching precise marketing by an enterprise by aiming at different driving habits of users, so that a better marketing effect is achieved.
Description
Technical field
The present invention relates to car working application technology, refer in particular to a kind of driving behavior appraisal procedure based on mobile unit and device.
Background technology
Private car is one of important vehicles of going on a journey of people. The universal of automobile causes that the network car networking constituted between automobile is increasingly important, particularly in the IOT epoch, big the Internet, the third place in the world object that car networking maybe will become after being only second to the mobile Internet being made up of the Internet and mobile phone, therefore contains unlimited opportunity.
In car networked system, the most important main body of intelligent automobile, made vehicle intellectualized by mobile unit, and then Real-time Collection car data, it is uploaded to high in the clouds, by making full use of the information realtime interactive on interconnection technique, big data analysis and high-velocity cloud calculating, guarantee intelligent automobile really has sufficient intelligence. In the structure process of car networking ecosystem, operator, chip business, module are all actively carrying out corresponding change with solution provider, depot. And the driving behavior data of the magnanimity produced in the process of car networking development are that driving behavior assessment provides possibility, but the driving behavior data of vehicle cannot be driven now according to mobile unit Generation Internet and then the personnel that effectively get, more lacking and lack effective assessment mode for car owner's driving behavior, subsequent applications lacks the driving behavior parameter of corresponding data as reference, foundation.
Summary of the invention
The technical problem to be solved is: provide a kind of driving behavior appraisal procedure based on mobile unit and device effectively chosen driving behavior data and carry out datumization.
In order to solve above-mentioned technical problem, the technical solution used in the present invention is: a kind of driving behavior appraisal procedure based on mobile unit, it is characterised in that: include,
S1) acquisition of information, obtains vehicle correspondence driving information by mobile unit; Described driving information includes at least including vehicle mileage on the same day, vehicle duration on the same day and three driving behavior key elements of vehicle average speed per hour;
S2) driving behavior quantizes, and is calculated obtaining score value and adding up with deviation between corresponding reference value to driving behavior key element each in driving information;
S3) driving behavior is sorted out, and is included in the corresponding classification of score value regional extent by corresponding vehicle according to cumulative score value.
In above-mentioned, also include, be correspondingly arranged the step of a numerical benchmark for driving behavior key element each in driving information; The setting of described numerical benchmark includes step,
S11) collection of batch obtains each vehicle and comprises vehicle mileage on the same day, and the driving behavior factor data group of vehicle duration on the same day and vehicle average speed per hour forms vehicle drive behavior database;
S12) vehicle mileage on the same day in vehicle drive behavior database, vehicle duration on the same day or the driving behavior factor data group that vehicle average speed per hour is zero are rejected;
S13) obtain vehicle drive behavior database all vehicles mileage on the same day, vehicle duration on the same day and or the average of vehicle average speed per hour as vehicle mileage on the same day, vehicle duration on the same day and or the reference value of vehicle average speed per hour.
In above-mentioned, also include after described step S13,
S14) bring step S2 into with reference to vehicle drive behavior database, obtain driving behavior scattergram;
S15) judge that driving behavior scattergram whether be peak value around middle part is normal distribution, be then execution step S16, otherwise perform step S15;
S15) precentagewise increases/reduces reference value size, returns step S15;
S16) currency is set as reference value.
In above-mentioned, described step S2 specifically includes,
S21) respectively mileage on the same day, vehicle duration on the same day and three driving behavior key elements of vehicle average speed per hour compose the initial value being not zero according to 3:3:4 weight;
S22) respectively mileage on the same day, vehicle duration on the same day and three driving behavior key elements of vehicle average speed per hour according to the deduction of points section of deduction of points score values different from reference value error amplitude set at least three kinds;
S23) respectively according to the mileage on the same day obtained, vehicle duration on the same day and vehicle average speed per hour and reference value error place deduction of points section, point value of evaluation is obtained with the score value of initial value deduction deduction of points section;
S24) add up mileage on the same day, and the point value of evaluation of vehicle duration on the same day and vehicle average speed per hour obtains cumulative score value.
In above-mentioned, in described step S21, the same day mileage, vehicle duration on the same day and three driving behavior key element initial values of vehicle average speed per hour respectively 30,30,40 points;
In described step S22, the same day, the deduction of points section of mileage was set as:
Mileage reference value on same day mileage on the same day �� same day mileage reference value �� 120%, then 0 point of button;
Mileage reference value �� 120% on �� same day mileage on the same day �� same day mileage reference value �� 150%, then 5 points of button;
Mileage reference value �� 150% on �� same day mileage on the same day �� same day mileage reference value �� 180%, then 10 points of button;
Mileage reference value �� 180% on �� same day mileage on the same day �� same day mileage reference value �� 200%, then 16 points of button;
Mileage reference value �� 200% on+same day mileage on the same day+same day mileage reference value �� 400%, then 22 points of button;
+ the same day, mileage reference value �� 400% mileage on the same day, then detained 30 points;
In described step S22, the same day, the deduction of points section of duration was set as:
Duration reference value on same day mileage on the same day �� same day duration reference value �� 120%, then 0 point of button;
Duration reference value �� 120% on �� same day duration on the same day �� same day duration reference value �� 150%, then 5 points of button;
Duration reference value �� 150% on �� same day duration on the same day �� same day duration reference value �� 180%, then 10 points of button;
Duration reference value �� 180% on �� same day duration on the same day �� same day duration reference value �� 200%, then 16 points of button;
Duration reference value �� 200% on+same day duration on the same day+same day duration reference value �� 400%, then 22 points of button;
+ the same day, duration reference value �� 400% duration on the same day, then detained 30 points;
In described step S22, the deduction of points section of average speed per hour is set as:
Average speed per hour reference value mileage on the same day �� average speed per hour reference value �� 103%, then 0 point of button;
�� average speed per hour reference value �� 103% average speed per hour �� average speed per hour reference value �� 110%, then 5 points of button;
�� average speed per hour reference value �� 110% average speed per hour �� average speed per hour reference value �� 130%, then 10 points of button;
�� average speed per hour reference value �� 130% average speed per hour �� average speed per hour reference value �� 150%, then 16 points of button;
+ average speed per hour reference value �� 150% average speed per hour+average speed per hour reference value �� 170%, then 22 points of button;
+ average speed per hour reference value �� 170% average speed per hour+average speed per hour reference value �� 190%, then 28 points of button;
+ average speed per hour reference value �� 190% average speed per hour, then 34 points of button;
In described step S3, score value regional extent includes 0-20,20-40,40-60,60-80,80-100, respectively corresponding the first kind, Equations of The Second Kind, the 3rd class, the 4th class, the 5th class.
The invention still further relates to a kind of driving behavior apparatus for evaluating based on mobile unit, including,
Data obtaining module, for obtaining vehicle correspondence driving information by mobile unit; Described driving information includes at least including vehicle mileage on the same day, vehicle duration on the same day and three driving behavior key elements of vehicle average speed per hour, then forwards driving behavior to and quantizes module;
Driving behavior quantizes module, for being calculated obtaining score value and adding up with deviation between corresponding reference value to driving behavior key element each in driving information, then forwards driving behavior classifying module to;
Driving behavior classifying module, for being included into corresponding vehicle in the corresponding classification of score value regional extent according to cumulative score value.
In above-mentioned, also include, presetting module, for being correspondingly arranged a numerical benchmark for driving behavior key element each in driving information; The setting of the numerical benchmark in described presetting module includes,
Collector unit, obtains each vehicle for collection in batches and comprises vehicle mileage on the same day, and the driving behavior factor data group of vehicle duration on the same day and vehicle average speed per hour forms vehicle drive behavior database, then forwards data processing unit to;
Data processing unit, is used for rejecting vehicle mileage on the same day in vehicle drive behavior database, vehicle duration on the same day or the driving behavior factor data group that vehicle average speed per hour is zero, then forwards reference value to and determine unit;
Reference value determines unit, for obtain vehicle drive behavior database all vehicles mileage on the same day, vehicle duration on the same day and or the average of vehicle average speed per hour as vehicle mileage on the same day, vehicle duration on the same day and or the reference value of vehicle average speed per hour.
In above-mentioned, described reference value determines that unit also goes to distribution statistics unit,
Distribution statistics unit, brings driving behavior into reference to vehicle drive behavior database quantize module on probation, obtain driving behavior scattergram, then forward numerical value judging unit to;
Numerical value judging unit, is used for judging that driving behavior scattergram whether be peak value around middle part is normal distribution, is forward setup unit to, otherwise forwards adjustment unit to;
Adjustment unit, increases/reduces reference value size for precentagewise, returns distribution statistics unit;
Setup unit, for being set as reference value by currency.
In above-mentioned, the described driving behavior module that quantizes specifically includes,
First value cell, composes the initial value being not zero, then forwards deduction of points to and arrange unit for respectively mileage on the same day, vehicle duration on the same day and three driving behavior key elements of vehicle average speed per hour according to 3:3:4 weight;
Deduction of points arranges unit, for respectively mileage on the same day, vehicle duration on the same day and three driving behavior key elements of vehicle average speed per hour, according to the deduction of points section of deduction of points score values different from reference value error amplitude set at least three kinds, then forward computing unit to;
Computing unit, for respectively according to the mileage on the same day obtained, vehicle duration on the same day and vehicle average speed per hour and reference value error place deduction of points section, obtaining point value of evaluation with the score value of initial value deduction deduction of points section, then forward summing elements to;
Summing elements, is used for the mileage on the same day that adds up, and the point value of evaluation of vehicle duration on the same day and vehicle average speed per hour obtains cumulative score value.
In above-mentioned, in described just value cell, the same day mileage, vehicle duration on the same day and three driving behavior key element initial values of vehicle average speed per hour respectively 30,30,40 points;
Described deduction of points arranges in unit, and the same day, the deduction of points section of mileage was set as:
Mileage reference value on same day mileage on the same day �� same day mileage reference value �� 120%, then 0 point of button;
Mileage reference value �� 120% on �� same day mileage on the same day �� same day mileage reference value �� 150%, then 5 points of button;
Mileage reference value �� 150% on �� same day mileage on the same day �� same day mileage reference value �� 180%, then 10 points of button;
Mileage reference value �� 180% on �� same day mileage on the same day �� same day mileage reference value �� 200%, then 16 points of button;
Mileage reference value �� 200% on+same day mileage on the same day+same day mileage reference value �� 400%, then 22 points of button;
+ the same day, mileage reference value �� 400% mileage on the same day, then detained 30 points;
Described deduction of points arranges in unit, and the same day, the deduction of points section of duration was set as:
Duration reference value on same day mileage on the same day �� same day duration reference value �� 120%, then 0 point of button;
Duration reference value �� 120% on �� same day duration on the same day �� same day duration reference value �� 150%, then 5 points of button;
Duration reference value �� 150% on �� same day duration on the same day �� same day duration reference value �� 180%, then 10 points of button;
Duration reference value �� 180% on �� same day duration on the same day �� same day duration reference value �� 200%, then 16 points of button;
Duration reference value �� 200% on+same day duration on the same day+same day duration reference value �� 400%, then 22 points of button;
+ the same day, duration reference value �� 400% duration on the same day, then detained 30 points;
Described deduction of points arranges in unit, and the deduction of points section of average speed per hour is set as:
Average speed per hour reference value mileage on the same day �� average speed per hour reference value �� 103%, then 0 point of button;
�� average speed per hour reference value �� 103% average speed per hour �� average speed per hour reference value �� 110%, then 5 points of button;
�� average speed per hour reference value �� 110% average speed per hour �� average speed per hour reference value �� 130%, then 10 points of button;
�� average speed per hour reference value �� 130% average speed per hour �� average speed per hour reference value �� 150%, then 16 points of button;
+ average speed per hour reference value �� 150% average speed per hour+average speed per hour reference value �� 170%, then 22 points of button;
+ average speed per hour reference value �� 170% average speed per hour+average speed per hour reference value �� 190%, then 28 points of button;
+ average speed per hour reference value �� 190% average speed per hour, then 34 points of button;
In described driving behavior classifying module, score value regional extent includes 0-20,20-40,40-60,60-80,80-100, respectively corresponding the first kind, Equations of The Second Kind, the 3rd class, the 4th class, the 5th class.
The beneficial effects of the present invention is: have chosen mobile unit retrievable vehicle mileage on the same day, the factor that vehicle duration on the same day and three driving behavior key elements of vehicle average speed per hour are assessed as assessment driving behavior, and further by vehicle driving behavior key element instantly by with the cumulative mode of reference value contrast conting deviation thus obtaining the driving behavior numerical value quantized, and then obtain corresponding classification according to different score value regional extents, can realize such as schematically marking in conjunction with different scenes, driving situation is with reference to application such as scorings, thus giving to user its corresponding driving behavior suggestion and indicating risk.And then to reach to cultivate the purpose of the good driving habits of user, can be used for enterprise's driving habits release precision marketing for different user simultaneously, reach better marketing effectiveness.
Accompanying drawing explanation
The concrete structure of the present invention is described in detail in detail below in conjunction with accompanying drawing
Fig. 1 is the method flow diagram of the present invention;
Fig. 2 is the driving behavior scattergram of the first experimental verification data;
Fig. 3 is the driving behavior scattergram of the second experimental verification data;
Fig. 4 is the driving behavior scattergram of the 3rd experimental verification data;
Fig. 5 is the driving behavior scattergram of the 4th experimental verification data;
Fig. 6 is the driving behavior scattergram of the 5th experimental verification data;
Fig. 7 is the driving behavior scattergram of the 6th experimental verification data;
Fig. 8 is the driving behavior scattergram of the 7th experimental verification data;
Fig. 9 is the driving behavior scattergram of the 8th experimental verification data;
Figure 10 is the vehicle peccancy statistical data figure for verifying;
Figure 11 is the driving behavior scattergram that embodiment 4,8 verifies data.
Detailed description of the invention
By describing the technology contents of the present invention, structural feature in detail, being realized purpose and effect, below in conjunction with embodiment and coordinate accompanying drawing to be explained in detail.
A kind of driving behavior appraisal procedure based on mobile unit, including,
S1) acquisition of information, obtains vehicle correspondence driving information by mobile unit; Described driving information includes at least including vehicle mileage on the same day, vehicle duration on the same day and three driving behavior key elements of vehicle average speed per hour;
S2) driving behavior quantizes, and is calculated obtaining score value and adding up with deviation between corresponding reference value to driving behavior key element each in driving information;
S3) driving behavior is sorted out, and is included in the corresponding classification of score value regional extent by corresponding vehicle according to cumulative score value.
Known from the above, the beneficial effects of the present invention is: have chosen mobile unit retrievable vehicle mileage on the same day, the factor that vehicle duration on the same day and three driving behavior key elements of vehicle average speed per hour are assessed as assessment driving behavior, and further by vehicle driving behavior key element instantly by with the cumulative mode of reference value contrast conting deviation thus obtaining the driving behavior numerical value quantized, and then obtain corresponding classification according to different score value regional extents, can realize such as schematically marking in conjunction with different scenes, driving situation is with reference to application such as scorings, thus giving to user its corresponding driving behavior suggestion and indicating risk. and then to reach to cultivate the purpose of the good driving habits of user, can be used for enterprise's driving habits release precision marketing for different user simultaneously, reach better marketing effectiveness.
Further, in conjunction with the invention described above driving behavior appraisal procedure based on mobile unit, it may be achieved such as user to be driven scoring after vehicle, the application of classified estimation. In conjunction with car damage degree confidence and vehicle peccancy information, insurance data etc., finally objectively obtain human pilot excellent, good, in, difference relative degrees, for follow-up business (the preferential insurance etc. as provided for car owner's classification) use.
It is exemplified below in conjunction with the attainable client's classification of the inventive method and remainder data:
High-quality user: user is graded by indexs such as driving behavior, car damage degree;
High-quality user comprises car owner's data, vehicle data, vehicle condition data, run-length data (accumulation), violation data, insurance data.
Driving behavior: customize insurance service by the quality of driving behavior;
Driving behavior comprises vehicle condition data, run-length data (single, accumulation), environmental data.
Car damage degree: customize maintenance by the degree of car damage degree;
Car damage degree comprises vehicle data, vehicle condition data.
Embodiment 1
In above-mentioned, also include, be correspondingly arranged the step of a numerical benchmark for driving behavior key element each in driving information. The setting of described numerical benchmark includes step,
S11) collection of batch obtains each vehicle and comprises vehicle mileage on the same day, and the driving behavior factor data group of vehicle duration on the same day and vehicle average speed per hour forms vehicle drive behavior database;
S12) vehicle mileage on the same day in vehicle drive behavior database, vehicle duration on the same day or the driving behavior factor data group that vehicle average speed per hour is zero are rejected;
S13) obtain vehicle drive behavior database all vehicles mileage on the same day, vehicle duration on the same day and or the average of vehicle average speed per hour as vehicle mileage on the same day, vehicle duration on the same day and or the reference value of vehicle average speed per hour.
It is a basis significant data owing to being used for calculating the numerical benchmark of each driving behavior key element of driving behavior, the advantage of big data of therefore networking here in connection with car, average after similar car substantial amounts of driving behavior factor data is collected, processes and use as initial numerical benchmark, at utmost guarantee the reliability that its numerical value is originated.
Embodiment 2
In above-mentioned, also include after described step S13,
S14) bring step S2 into with reference to vehicle drive behavior database, obtain driving behavior scattergram;
S15) judge that driving behavior scattergram whether be peak value around middle part is normal distribution, be then execution step S17, otherwise perform step S16;
S16) precentagewise increases/reduces reference value size, returns step S14;
S17) currency is set as reference value.
The present embodiment adds the flow process that the numerical benchmark to each driving behavior key element is calibrated further, driving behavior scattergram is obtained by all data acquisitions are carried out driving behavior datumization with the initial numerical benchmark of above-mentioned acquisition, analyze the normal distribution principle of driving behavior scattergram whether coincidence statistics again, by increasing and decreasing numerical benchmark by ratio thus implementing to correct to it when not meeting, final optimization pass method model, it is ensured that the data that model obtains more referential.
Embodiment 3
In above-mentioned, described step S2 specifically includes,
S21) respectively mileage on the same day, vehicle duration on the same day and three driving behavior key elements of vehicle average speed per hour compose the initial value being not zero according to 3:3:4 weight;
S22) respectively mileage on the same day, vehicle duration on the same day and three driving behavior key elements of vehicle average speed per hour according to the deduction of points section of deduction of points score values different from reference value error amplitude set at least three kinds;
S23) respectively according to the mileage on the same day obtained, vehicle duration on the same day and vehicle average speed per hour and reference value error place deduction of points section, point value of evaluation is obtained with the score value of initial value deduction deduction of points section;
S24) add up mileage on the same day, and the point value of evaluation of vehicle duration on the same day and vehicle average speed per hour obtains cumulative score value.
In the present embodiment, inventor is found by great many of experiments, at mileage on the same day, and vehicle duration on the same day and in three driving behavior key elements of vehicle average speed per hour, affecting vehicle safety more is that vehicle is average, and therefore on weight coefficient, how most widely suited it is slightly compared with other two. The Process Design that driving behavior is quantized be compose after initial value mode according to different difference condition deduction of points then relatively initial value be the reference that the 0 score value result that according to circumstances bonus point mode obtains is more beneficial for subsequent applications, reason is in that, bonus point mechanism essence is the logical process grown out of nothing, the mechanism of deducting points is then from getting well to the logical process differed from, after be then more suitable for the logic of the follow-up linking assessment of the inventive method and use.
Embodiment 4
In above-mentioned, in described step S21, the same day mileage, vehicle duration on the same day and three driving behavior key element initial values of vehicle average speed per hour respectively 30,30,40 points;
In described step S22, the same day, the deduction of points section of mileage was set as:
Mileage reference value on same day mileage on the same day �� same day mileage reference value �� 120%, then 0 point of button;
Mileage reference value �� 120% on �� same day mileage on the same day �� same day mileage reference value �� 150%, then 5 points of button;
Mileage reference value �� 150% on �� same day mileage on the same day �� same day mileage reference value �� 180%, then 10 points of button;
Mileage reference value �� 180% on �� same day mileage on the same day �� same day mileage reference value �� 200%, then 16 points of button;
Mileage reference value �� 200% on+same day mileage on the same day+same day mileage reference value �� 400%, then 22 points of button;
+ the same day, mileage reference value �� 400% mileage on the same day, then detained 30 points;
In described step S22, the same day, the deduction of points section of duration was set as:
Duration reference value on same day mileage on the same day �� same day duration reference value �� 120%, then 0 point of button;
Duration reference value �� 120% on �� same day duration on the same day �� same day duration reference value �� 150%, then 5 points of button;
Duration reference value �� 150% on �� same day duration on the same day �� same day duration reference value �� 180%, then 10 points of button;
Duration reference value �� 180% on �� same day duration on the same day �� same day duration reference value �� 200%, then 16 points of button;
Duration reference value �� 200% on+same day duration on the same day+same day duration reference value �� 400%, then 22 points of button;
+ the same day, duration reference value �� 400% duration on the same day, then detained 30 points;
In described step S22, the deduction of points section of average speed per hour is set as:
Average speed per hour reference value mileage on the same day �� average speed per hour reference value �� 103%, then 0 point of button;
�� average speed per hour reference value �� 103% average speed per hour �� average speed per hour reference value �� 110%, then 5 points of button;
�� average speed per hour reference value �� 110% average speed per hour �� average speed per hour reference value �� 130%, then 10 points of button;
�� average speed per hour reference value �� 130% average speed per hour �� average speed per hour reference value �� 150%, then 16 points of button;
+ average speed per hour reference value �� 150% average speed per hour+average speed per hour reference value �� 170%, then 22 points of button;
+ average speed per hour reference value �� 170% average speed per hour+average speed per hour reference value �� 190%, then 28 points of button;
+ average speed per hour reference value �� 190% average speed per hour, then 34 points of button;
In described step S3, score value regional extent includes 0-20,20-40,40-60,60-80,80-100, respectively corresponding the first kind, Equations of The Second Kind, the 3rd class, the 4th class, the 5th class.
The present embodiment gives a kind of concrete score value of the inventive method and sets rule, this setting rule is that the present inventor first passes through the sample data processing certain time period, positive and negative deviation adjusts mileage on the same day, the reference value of vehicle duration on the same day and three driving behavior key elements of vehicle average speed per hour, in conjunction with the mode assumed, determine mileage, duration, the reference value of speed per hour, mileage, duration, the mark interval of speed per hour data and mileage, duration, speed per hour add mark corresponding to depreciation to driving behavior by the data such as benchmark weight assumed, and then great amount of samples data are carried out datumization, finally the violation data obtaining result corresponding with the sample of same time interval is contrasted, repeatedly adjust the optimum value mode finally given, determine the reasonability of model. for this, applicant, by the adjustment computing of up to a hundred batches in a large number, now wins obvious eight batch datas of wherein feature, illustrates at this and be explained:
Experimental example one
Overall score 100 points, adopts and following quantizes rule and deduction of points segmentation is deducted points, minimum button to 0 point, negative point:
The reference value of three driving behavior key elements adopts mean bias value as follows,
Vehicle mileage on same day reference value is: 59316.98m
Vehicle duration on same day reference value is: 7142s
Vehicle average speed per hour reference value is: 24.19km/h
Finally give the driving behavior scattergram of the experimental verification data shown in Fig. 2.
Experimental example two
Overall score 100 points, adopts and following quantizes rule and deduction of points segmentation is deducted points, minimum button to 0 point, negative point:
The reference value of three driving behavior key elements adopts mean bias value as follows,
Vehicle mileage on same day reference value is: 59316.98m
Vehicle duration on same day reference value is: 7142s
Vehicle average speed per hour reference value is: 24.19km/h
Finally give the driving behavior scattergram of the experimental verification data shown in Fig. 3.
Experimental example three
Overall score 100 points, adopts and following quantizes rule and deduction of points segmentation is deducted points, minimum button to 0 point, negative point:
The reference value of three driving behavior key elements adopts mean bias value as follows,
Reference value: vehicle mileage on same day reference value is: 45000m
Vehicle duration on same day reference value is: 2800s
Vehicle average speed per hour reference value is: 20.19km/h
Finally give the driving behavior scattergram of the experimental verification data shown in Fig. 4.
Experimental example four
Overall score 100 points, adopts and following quantizes rule and deduction of points segmentation is deducted points, minimum button to 0 point, negative point:
The reference value of three driving behavior key elements adopts mean bias value as follows,
Reference value: vehicle mileage on same day reference value is: 5500m
Vehicle duration on same day reference value is: 7000s
Vehicle average speed per hour reference value is: 24.19km/h
Finally give the driving behavior scattergram of the experimental verification data shown in Fig. 5.
Experimental example five
Overall score 100 points, adopts and following quantizes rule and deduction of points segmentation is deducted points, minimum button to 0 point, negative point:
The reference value of three driving behavior key elements adopts mean bias value as follows,
Reference value: vehicle mileage on same day reference value is: 50000m
Vehicle duration on same day reference value is: 7800s
Vehicle average speed per hour reference value is: 24.19km/h
Finally give the driving behavior scattergram of the experimental verification data shown in Fig. 6.
Experimental example six
Overall score 100 points, adopts and following quantizes rule and deduction of points segmentation is deducted points, minimum button to 0 point, negative point:
The reference value of three driving behavior key elements adopts mean bias value as follows,
Reference value: vehicle mileage on same day reference value is: 40000m
Vehicle duration on same day reference value is: 6500s
Vehicle average speed per hour reference value is: 20.19km/h
Finally give the driving behavior scattergram of the experimental verification data shown in Fig. 7.
Experimental example seven
Overall score 100 points, adopts and following quantizes rule and deduction of points segmentation is deducted points, minimum button to 0 point, negative point:
The reference value of three driving behavior key elements adopts mean bias value as follows,
Reference value: vehicle mileage on same day reference value is: 59316.98m
Vehicle duration on same day reference value is: 7142s
Vehicle average speed per hour reference value is: 24.19km/h
Finally give the driving behavior scattergram of the experimental verification data shown in Fig. 8.
Experimental example eight
Overall score 100 points, adopts and following quantizes rule and deduction of points segmentation is deducted points, minimum button to 0 point, negative point:
The reference value of three driving behavior key elements adopts mean bias value as follows,
Reference value: vehicle mileage on same day reference value is: 59316.98m
Vehicle duration on same day reference value is: 7142s
Vehicle average speed per hour reference value is: 24.19km/h
Finally give the driving behavior scattergram of the experimental verification data shown in Fig. 9.
The sampling violation data then obtaining above-mentioned lot data corresponding is drawn in Figure 10, figure, and the 0 of transverse axis, 1,2,3 represent vehicle peccancy number of times, and 4 represent more than 3 times vehicle number of times violating the regulations.By to after the analysis of all experimental datas and the comparison coupling of violation data, finally determine that the button chopping rule that experimental example eight adopts is relatively reasonable, in conjunction with mileage on the same day the most at last, after the reference value of vehicle duration on the same day and three driving behavior key elements of vehicle average speed per hour adopts average statistical, bring the driving behavior scattergram of the experimental verification data obtaining Figure 11 into, meet very well around 60 points of middle part in normal distribution, and with the requirement of statistical match violating the regulations. Therefore, can establish, when adopting mileage on the same day, the meansigma methods of vehicle duration on the same day and three driving behavior key elements of vehicle average speed per hour as reference value and in conjunction with the embodiments 4 detain that segmentation scheme obtains quantize and classify and possess final objective effect, the objectivity of subsequent applications can be met.
The invention still further relates to a kind of driving behavior apparatus for evaluating based on mobile unit, including,
Data obtaining module, for obtaining vehicle correspondence driving information by mobile unit; Described driving information includes at least including vehicle mileage on the same day, vehicle duration on the same day and three driving behavior key elements of vehicle average speed per hour, then forwards driving behavior to and quantizes module;
Driving behavior quantizes module, for being calculated obtaining score value and adding up with deviation between corresponding reference value to driving behavior key element each in driving information, then forwards driving behavior classifying module to;
Driving behavior classifying module, for being included into corresponding vehicle in the corresponding classification of score value regional extent according to cumulative score value.
Embodiment 5
In above-mentioned, also include, presetting module, for being correspondingly arranged a numerical benchmark for driving behavior key element each in driving information. In above-mentioned, the setting of the numerical benchmark in described presetting module includes,
Collector unit, obtains each vehicle for collection in batches and comprises vehicle mileage on the same day, and the driving behavior factor data group of vehicle duration on the same day and vehicle average speed per hour forms vehicle drive behavior database, then forwards data processing unit to;
Data processing unit, is used for rejecting vehicle mileage on the same day in vehicle drive behavior database, vehicle duration on the same day or the driving behavior factor data group that vehicle average speed per hour is zero, then forwards reference value to and determine unit;
Reference value determines unit, for obtain vehicle drive behavior database all vehicles mileage on the same day, vehicle duration on the same day and or the average of vehicle average speed per hour as vehicle mileage on the same day, vehicle duration on the same day and or the reference value of vehicle average speed per hour.
Known from the above, the beneficial effects of the present invention is: have chosen mobile unit retrievable vehicle mileage on the same day, the factor that vehicle duration on the same day and three driving behavior key elements of vehicle average speed per hour are assessed as assessment driving behavior, and further by vehicle driving behavior key element instantly by with the cumulative mode of reference value contrast conting deviation thus obtaining the driving behavior numerical value quantized, and then obtain corresponding classification according to different score value regional extents, can realize such as schematically marking in conjunction with different scenes, driving situation is with reference to application such as scorings, thus giving to user its corresponding driving behavior suggestion and indicating risk. and then to reach to cultivate the purpose of the good driving habits of user, can be used for enterprise's driving habits release precision marketing for different user simultaneously, reach better marketing effectiveness.
Further, in conjunction with the invention described above driving behavior appraisal procedure based on mobile unit, it may be achieved such as user to be driven scoring after vehicle, the application of classified estimation. In conjunction with car damage degree confidence and vehicle peccancy information, insurance data etc., finally objectively obtain human pilot excellent, good, in, difference relative degrees, for follow-up business (the preferential insurance etc. as provided for car owner's classification) use.
It is exemplified below in conjunction with the attainable client's classification of the inventive method and remainder data:
High-quality user: user is graded by indexs such as driving behavior, car damage degree;
High-quality user comprises car owner's data, vehicle data, vehicle condition data, run-length data (accumulation), violation data, insurance data.
Driving behavior: customize insurance service by the quality of driving behavior;
Driving behavior comprises vehicle condition data, run-length data (single, accumulation), environmental data.
Car damage degree: customize maintenance by the degree of car damage degree;
Car damage degree comprises vehicle data, vehicle condition data.
Embodiment 6
In above-mentioned, described reference value determines that unit also goes to distribution statistics unit,
Distribution statistics unit, brings driving behavior into reference to vehicle drive behavior database quantize module on probation, obtain driving behavior scattergram, then forward numerical value judging unit to;
Numerical value judging unit, is used for judging that driving behavior scattergram whether be peak value around middle part is normal distribution, is forward setup unit to, otherwise forwards adjustment unit to;
Adjustment unit, increases/reduces reference value size for precentagewise, returns distribution statistics unit;
Setup unit, for being set as reference value by currency.
The present embodiment adds the flow process that the numerical benchmark to each driving behavior key element is calibrated further, driving behavior scattergram is obtained by all data acquisitions are carried out driving behavior datumization with the initial numerical benchmark of above-mentioned acquisition, analyze the normal distribution principle of driving behavior scattergram whether coincidence statistics again, by increasing and decreasing numerical benchmark by ratio thus implementing to correct to it when not meeting, final optimization pass method model, it is ensured that the data that model obtains more referential.
Embodiment 7
In above-mentioned, the described driving behavior module that quantizes specifically includes,
First value cell, composes the initial value being not zero, then forwards deduction of points to and arrange unit for respectively mileage on the same day, vehicle duration on the same day and three driving behavior key elements of vehicle average speed per hour according to 3:3:4 weight;
Deduction of points arranges unit, for respectively mileage on the same day, vehicle duration on the same day and three driving behavior key elements of vehicle average speed per hour, according to the deduction of points section of deduction of points score values different from reference value error amplitude set at least three kinds, then forward computing unit to;
Computing unit, for respectively according to the mileage on the same day obtained, vehicle duration on the same day and vehicle average speed per hour and reference value error place deduction of points section, obtaining point value of evaluation with the score value of initial value deduction deduction of points section, then forward summing elements to;
Summing elements, is used for the mileage on the same day that adds up, and the point value of evaluation of vehicle duration on the same day and vehicle average speed per hour obtains cumulative score value.
In the present embodiment, inventor is found by great many of experiments, at mileage on the same day, and vehicle duration on the same day and in three driving behavior key elements of vehicle average speed per hour, affecting vehicle safety more is that vehicle is average, and therefore on weight coefficient, how most widely suited it is slightly compared with other two. The Process Design that driving behavior is quantized be compose after initial value mode according to different difference condition deduction of points then relatively initial value be the reference that the 0 score value result that according to circumstances bonus point mode obtains is more beneficial for subsequent applications, reason is in that, bonus point mechanism essence is the logical process grown out of nothing, the mechanism of deducting points is then from getting well to the logical process differed from, after be then more suitable for the logic of the follow-up linking assessment of the inventive method and use.
Embodiment 8
In above-mentioned, in described just value cell, the same day mileage, vehicle duration on the same day and three driving behavior key element initial values of vehicle average speed per hour respectively 30,30,40 points;
Described deduction of points arranges in unit, and the same day, the deduction of points section of mileage was set as:
Mileage reference value on same day mileage on the same day �� same day mileage reference value �� 120%, then 0 point of button;
Mileage reference value �� 120% on �� same day mileage on the same day �� same day mileage reference value �� 150%, then 5 points of button;
Mileage reference value �� 150% on �� same day mileage on the same day �� same day mileage reference value �� 180%, then 10 points of button;
Mileage reference value �� 180% on �� same day mileage on the same day �� same day mileage reference value �� 200%, then 16 points of button;
Mileage reference value �� 200% on+same day mileage on the same day+same day mileage reference value �� 400%, then 22 points of button;
+ the same day, mileage reference value �� 400% mileage on the same day, then detained 30 points;
Described deduction of points arranges in unit, and the same day, the deduction of points section of duration was set as:
Duration reference value on same day mileage on the same day �� same day duration reference value �� 120%, then 0 point of button;
Duration reference value �� 120% on �� same day duration on the same day �� same day duration reference value �� 150%, then 5 points of button;
Duration reference value �� 150% on �� same day duration on the same day �� same day duration reference value �� 180%, then 10 points of button;
Duration reference value �� 180% on �� same day duration on the same day �� same day duration reference value �� 200%, then 16 points of button;
Duration reference value �� 200% on+same day duration on the same day+same day duration reference value �� 400%, then 22 points of button;
+ the same day, duration reference value �� 400% duration on the same day, then detained 30 points;
Described deduction of points arranges in unit, and the deduction of points section of average speed per hour is set as:
Average speed per hour reference value mileage on the same day �� average speed per hour reference value �� 103%, then 0 point of button;
�� average speed per hour reference value �� 103% average speed per hour �� average speed per hour reference value �� 110%, then 5 points of button;
�� average speed per hour reference value �� 110% average speed per hour �� average speed per hour reference value �� 130%, then 10 points of button;
�� average speed per hour reference value �� 130% average speed per hour �� average speed per hour reference value �� 150%, then 16 points of button;
+ average speed per hour reference value �� 150% average speed per hour+average speed per hour reference value �� 170%, then 22 points of button;
+ average speed per hour reference value �� 170% average speed per hour+average speed per hour reference value �� 190%, then 28 points of button;
+ average speed per hour reference value �� 190% average speed per hour, then 34 points of button;
In described driving behavior classifying module, score value regional extent includes 0-20,20-40,40-60,60-80,80-100, respectively corresponding the first kind, Equations of The Second Kind, the 3rd class, the 4th class, the 5th class.
The present embodiment gives a kind of concrete score value of the inventive method and sets rule, this setting rule is that the present inventor first passes through the sample data processing certain time period, positive and negative deviation adjusts mileage on the same day, the reference value of vehicle duration on the same day and three driving behavior key elements of vehicle average speed per hour, in conjunction with the mode assumed, determine mileage, duration, the reference value of speed per hour, mileage, duration, the mark interval of speed per hour data and mileage, duration, speed per hour add mark corresponding to depreciation to driving behavior by the data such as benchmark weight assumed, and then great amount of samples data are carried out datumization, finally the violation data obtaining result corresponding with the sample of same time interval is contrasted, repeatedly adjust the optimum value mode finally given, determine the reasonability of model. for this, applicant, by the adjustment computing of up to a hundred batches in a large number, now wins obvious eight batch datas of wherein feature, identical with method part, does not do redundant at this.
The foregoing is only embodiments of the invention; not thereby the scope of the claims of the present invention is limited; every equivalent structure utilizing description of the present invention and accompanying drawing content to make or equivalence flow process conversion; or directly or indirectly it is used in other relevant technical fields, all in like manner include in the scope of patent protection of the present invention.
Claims (10)
1. the driving behavior appraisal procedure based on mobile unit, it is characterised in that: include,
S1) acquisition of information, obtains vehicle correspondence driving information by mobile unit; Described driving information includes at least including vehicle mileage on the same day, vehicle duration on the same day and three driving behavior key elements of vehicle average speed per hour;
S2) driving behavior quantizes, and is calculated obtaining score value and adding up with deviation between corresponding reference value to driving behavior key element each in driving information;
S3) driving behavior is sorted out, and is included in the corresponding classification of score value regional extent by corresponding vehicle according to cumulative score value.
2. the driving behavior appraisal procedure based on mobile unit as claimed in claim 1, it is characterised in that: also include, be correspondingly arranged the step of a numerical benchmark for driving behavior key element each in driving information; The setting of described numerical benchmark includes step,
S11) collection of batch obtains each vehicle and comprises vehicle mileage on the same day, and the driving behavior factor data group of vehicle duration on the same day and vehicle average speed per hour forms vehicle drive behavior database;
S12) rejecting vehicle mileage on the same day in vehicle drive behavior database, vehicle duration on the same day or the driving behavior factor data group that vehicle average speed per hour is zero obtain with reference to vehicle drive behavior database;
S13) obtain vehicle drive behavior database all vehicles mileage on the same day, vehicle duration on the same day and or the average of vehicle average speed per hour as vehicle mileage on the same day, vehicle duration on the same day and or the reference value of vehicle average speed per hour.
3. the driving behavior appraisal procedure based on mobile unit as claimed in claim 2, it is characterised in that: also include after described step S13,
S14) bring step S2 into with reference to vehicle drive behavior database, obtain driving behavior scattergram;
S15) judge that driving behavior scattergram whether be peak value around middle part is normal distribution, be then execution step S17, otherwise perform step S16;
S16) precentagewise increases/reduces reference value size, returns step S14;
S17) currency is set as reference value.
4. the driving behavior appraisal procedure based on mobile unit as claimed in claim 1, it is characterised in that: described step S2 specifically includes,
S21) respectively mileage on the same day, vehicle duration on the same day and three driving behavior key elements of vehicle average speed per hour compose the initial value being not zero according to 3:3:4 weight;
S22) respectively mileage on the same day, vehicle duration on the same day and three driving behavior key elements of vehicle average speed per hour according to the deduction of points section of deduction of points score values different from reference value error amplitude set at least three kinds;
S23) respectively according to the mileage on the same day obtained, vehicle duration on the same day and vehicle average speed per hour and reference value error place deduction of points section, point value of evaluation is obtained with the score value of initial value deduction deduction of points section;
S24) add up mileage on the same day, and the point value of evaluation of vehicle duration on the same day and vehicle average speed per hour obtains cumulative score value.
5. the driving behavior appraisal procedure based on mobile unit as claimed in claim 4, it is characterised in that: in described step S21, the same day mileage, vehicle duration on the same day and three driving behavior key element initial values of vehicle average speed per hour respectively 30,30,40 points;
In described step S22, the same day, the deduction of points section of mileage was set as:
Mileage reference value on same day mileage on the same day �� same day mileage reference value �� 120%, then 0 point of button;
Mileage reference value �� 120% on �� same day mileage on the same day �� same day mileage reference value �� 150%, then 5 points of button;
Mileage reference value �� 150% on �� same day mileage on the same day �� same day mileage reference value �� 180%, then 10 points of button;
Mileage reference value �� 180% on �� same day mileage on the same day �� same day mileage reference value �� 200%, then 16 points of button;
Mileage reference value �� 200% on+same day mileage on the same day+same day mileage reference value �� 400%, then 22 points of button;
+ the same day, mileage reference value �� 400% mileage on the same day, then detained 30 points;
In described step S22, the same day, the deduction of points section of duration was set as:
Duration reference value on same day mileage on the same day �� same day duration reference value �� 120%, then 0 point of button;
Duration reference value �� 120% on �� same day duration on the same day �� same day duration reference value �� 150%, then 5 points of button;
Duration reference value �� 150% on �� same day duration on the same day �� same day duration reference value �� 180%, then 10 points of button;
Duration reference value �� 180% on �� same day duration on the same day �� same day duration reference value �� 200%, then 16 points of button;
Duration reference value �� 200% on+same day duration on the same day+same day duration reference value �� 400%, then 22 points of button;
+ the same day, duration reference value �� 400% duration on the same day, then detained 30 points;
In described step S22, the deduction of points section of average speed per hour is set as:
Average speed per hour reference value mileage on the same day �� average speed per hour reference value �� 103%, then 0 point of button;
�� average speed per hour reference value �� 103% average speed per hour �� average speed per hour reference value �� 110%, then 5 points of button;
�� average speed per hour reference value �� 110% average speed per hour �� average speed per hour reference value �� 130%, then 10 points of button;
�� average speed per hour reference value �� 130% average speed per hour �� average speed per hour reference value �� 150%, then 16 points of button;
+ average speed per hour reference value �� 150% average speed per hour+average speed per hour reference value �� 170%, then 22 points of button;
+ average speed per hour reference value �� 170% average speed per hour+average speed per hour reference value �� 190%, then 28 points of button;
+ average speed per hour reference value �� 190% average speed per hour, then 34 points of button;
In described step S3, score value regional extent includes 0-20,20-40,40-60,60-80,80-100, respectively corresponding the first kind, Equations of The Second Kind, the 3rd class, the 4th class, the 5th class.
6. the driving behavior apparatus for evaluating based on mobile unit, it is characterised in that: include,
Data obtaining module, for obtaining vehicle correspondence driving information by mobile unit; Described driving information includes at least including vehicle mileage on the same day, vehicle duration on the same day and three driving behavior key elements of vehicle average speed per hour, then forwards driving behavior to and quantizes module;
Driving behavior quantizes module, for being calculated obtaining score value and adding up with deviation between corresponding reference value to driving behavior key element each in driving information, then forwards driving behavior classifying module to;
Driving behavior classifying module, for being included into corresponding vehicle in the corresponding classification of score value regional extent according to cumulative score value.
7. the driving behavior apparatus for evaluating based on mobile unit as claimed in claim 6, it is characterised in that: also include, presetting module, for being correspondingly arranged a numerical benchmark for driving behavior key element each in driving information; The setting of the numerical benchmark in described presetting module includes,
Collector unit, obtains each vehicle for collection in batches and comprises vehicle mileage on the same day, and the driving behavior factor data group of vehicle duration on the same day and vehicle average speed per hour forms vehicle drive behavior database, then forwards data processing unit to;
Data processing unit, is used for rejecting vehicle mileage on the same day in vehicle drive behavior database, vehicle duration on the same day or the driving behavior factor data group that vehicle average speed per hour is zero, then forwards reference value to and determine unit;
Reference value determines unit, for obtain vehicle drive behavior database all vehicles mileage on the same day, vehicle duration on the same day and or the average of vehicle average speed per hour as vehicle mileage on the same day, vehicle duration on the same day and or the reference value of vehicle average speed per hour.
8. the driving behavior apparatus for evaluating based on mobile unit as claimed in claim 7, it is characterised in that: described reference value determines that unit also goes to distribution statistics unit,
Distribution statistics unit, brings driving behavior into reference to vehicle drive behavior database quantize module on probation, obtain driving behavior scattergram, then forward numerical value judging unit to;
Numerical value judging unit, is used for judging that driving behavior scattergram whether be peak value around middle part is normal distribution, is forward setup unit to, otherwise forwards adjustment unit to;
Adjustment unit, increases/reduces reference value size for precentagewise, returns distribution statistics unit;
Setup unit, for being set as reference value by currency.
9. the driving behavior apparatus for evaluating based on mobile unit as claimed in claim 6, it is characterised in that: the described driving behavior module that quantizes specifically includes,
First value cell, composes the initial value being not zero, then forwards deduction of points to and arrange unit for respectively mileage on the same day, vehicle duration on the same day and three driving behavior key elements of vehicle average speed per hour according to 3:3:4 weight;
Deduction of points arranges unit, for respectively mileage on the same day, vehicle duration on the same day and three driving behavior key elements of vehicle average speed per hour, according to the deduction of points section of deduction of points score values different from reference value error amplitude set at least three kinds, then forward computing unit to;
Computing unit, for respectively according to the mileage on the same day obtained, vehicle duration on the same day and vehicle average speed per hour and reference value error place deduction of points section, obtaining point value of evaluation with the score value of initial value deduction deduction of points section, then forward summing elements to;
Summing elements, is used for the mileage on the same day that adds up, and the point value of evaluation of vehicle duration on the same day and vehicle average speed per hour obtains cumulative score value.
10. the driving behavior appraisal procedure based on mobile unit as claimed in claim 9, it is characterised in that: in described just value cell, the same day mileage, vehicle duration on the same day and three driving behavior key element initial values of vehicle average speed per hour respectively 30,30,40 points;
Described deduction of points arranges in unit, and the same day, the deduction of points section of mileage was set as:
Mileage reference value on same day mileage on the same day �� same day mileage reference value �� 120%, then 0 point of button;
Mileage reference value �� 120% on �� same day mileage on the same day �� same day mileage reference value �� 150%, then 5 points of button;
Mileage reference value �� 150% on �� same day mileage on the same day �� same day mileage reference value �� 180%, then 10 points of button;
Mileage reference value �� 180% on �� same day mileage on the same day �� same day mileage reference value �� 200%, then 16 points of button;
Mileage reference value �� 200% on+same day mileage on the same day+same day mileage reference value �� 400%, then 22 points of button;
+ the same day, mileage reference value �� 400% mileage on the same day, then detained 30 points;
Described deduction of points arranges in unit, and the same day, the deduction of points section of duration was set as:
Duration reference value on same day mileage on the same day �� same day duration reference value �� 120%, then 0 point of button;
Duration reference value �� 120% on �� same day duration on the same day �� same day duration reference value �� 150%, then 5 points of button;
Duration reference value �� 150% on �� same day duration on the same day �� same day duration reference value �� 180%, then 10 points of button;
Duration reference value �� 180% on �� same day duration on the same day �� same day duration reference value �� 200%, then 16 points of button;
Duration reference value �� 200% on+same day duration on the same day+same day duration reference value �� 400%, then 22 points of button;
+ the same day, duration reference value �� 400% duration on the same day, then detained 30 points;
Described deduction of points arranges in unit, and the deduction of points section of average speed per hour is set as:
Average speed per hour reference value mileage on the same day �� average speed per hour reference value �� 103%, then 0 point of button;
�� average speed per hour reference value �� 103% average speed per hour �� average speed per hour reference value �� 110%, then 5 points of button;
�� average speed per hour reference value �� 110% average speed per hour �� average speed per hour reference value �� 130%, then 10 points of button;
�� average speed per hour reference value �� 130% average speed per hour �� average speed per hour reference value �� 150%, then 16 points of button;
+ average speed per hour reference value �� 150% average speed per hour+average speed per hour reference value �� 170%, then 22 points of button;
+ average speed per hour reference value �� 170% average speed per hour+average speed per hour reference value �� 190%, then 28 points of button;
+ average speed per hour reference value �� 190% average speed per hour, then 34 points of button;
In described driving behavior classifying module, score value regional extent includes 0-20,20-40,40-60,60-80,80-100, respectively corresponding the first kind, Equations of The Second Kind, the 3rd class, the 4th class, the 5th class.
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