CN107066787B - The methods of marking and device of vehicle travel - Google Patents
The methods of marking and device of vehicle travel Download PDFInfo
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- CN107066787B CN107066787B CN201611061543.XA CN201611061543A CN107066787B CN 107066787 B CN107066787 B CN 107066787B CN 201611061543 A CN201611061543 A CN 201611061543A CN 107066787 B CN107066787 B CN 107066787B
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Abstract
The present invention proposes the methods of marking and device of a kind of vehicle travel, and this method includes：Obtain the vehicle operation data of branch's journey to be evaluated, wherein vehicle operation data includes：The corresponding index alert data of index item and index item in vehicle driving；Determination it is corresponding with vehicle operation data, it is per second in preset time period under multiple index item in each index item average value；According to average value and default characteristic model, the safety trend numerical value of each index item in branch's journey to be evaluated is determined；Summation is weighted to the safety trend numerical value of each index item in multiple index item of vehicle operation data；Using the safety trend numerical value after weighted sum as the appraisal result for treating scoring stroke.Due to combining more index item, keeps appraisal result more accurate, improve the reasonability of scoring and the property of can refer to, reduce traffic accident, improve user experience.
Description
Technical field
The present invention relates to vehicle drive behavioral analysis technology field more particularly to the methods of marking and dress of a kind of vehicle travel
It sets.
Background technique
With the development of economy and the improvement of people's living standards, the quantity of motor vehicles is more and more, meanwhile, also cause
The frequent generation of traffic accident, life and property safety to people bring huge loss, how to avoid traffic accident
Generation, it has also become one of the huge difficult problem of current transportation industry.
Currently, it is more and more based on the vehicle insurance product that driver's driving behavior is fixed a price, it is gone by being driven to driver
To score, and then corresponding vehicle insurance product is provided, the safe driving consumption view of driver and the peace of driver can be improved
It is complete to drive consciousness, to reduce social traffic accident rate.
However, existing methods of marking, it is limited to be based only upon the fatigue data of driver, acceleration value in vehicle driving etc.
Several vehicle datas carry out driving behavior scoring, and appraisal result is not accurate, and reference value is low, poor user experience.
Summary of the invention
The present invention is directed to solve at least some of the technical problems in related technologies.
For this purpose, the first purpose of this invention is to propose a kind of methods of marking of vehicle travel, this method is due to combining
More index item keeps appraisal result more accurate, improves the reasonability of scoring and the property of can refer to, reduces the hair of traffic accident
It is raw, improve user experience.
Second object of the present invention is to propose a kind of scoring apparatus of vehicle travel.
In order to achieve the above object, first aspect present invention embodiment proposes a kind of methods of marking of vehicle travel, including：It obtains
Take the vehicle operation data of branch's journey to be evaluated, wherein the vehicle operation data includes：Index item and institute in vehicle driving
State the corresponding index alert data of index item；Determination is corresponding with the vehicle operation data, under per second in preset time period
Multiple index item in each index item average value；According to the average value and default characteristic model, determine described to be evaluated
The safety trend numerical value of each index item in branch's journey；Each finger described in multiple index item to the vehicle operation data
The safety trend numerical value of mark item is weighted summation；Using the safety trend numerical value after weighted sum as to described wait score
The appraisal result of stroke.
In a kind of possible way of realization, the determination is corresponding with the vehicle operation data, in preset time period
In it is per second under multiple index item in each index item average value, including：
Branch's journey to be evaluated is divided according to whether generating collision accident, is not generated the first of collision accident
Branch's journey to be evaluated and the second branch's journey to be evaluated for generating collision accident；
Described first branch's journey to be evaluated is split based on the interval duration of the preset time period, obtains multiple durations
For the first stroke segment of the interval duration；
To the stroke segment in the interval duration before each second branch's journey interception to be evaluated and as second stroke segment；
According to the index item and the finger of vehicle operation data in multiple first stroke segments and multiple second stroke segments
It marks the corresponding index alert data of item and is based on preset rules generation tables of data；
The corresponding index alert data in the tables of data is counted, it is every in preset time period to determine
The average value and average value as each index item of the corresponding index alert data of each index item under second.
It is described according in multiple first stroke segments and multiple second stroke segments in alternatively possible way of realization
The index item of vehicle operation data and the corresponding index alert data of the index item are based on preset rules and generate tables of data,
In, the preset rules are：
Obtain the item number of the index item in the vehicle driving；
The columns of the tables of data is determined according to the item number and the interval duration；
The row of the tables of data is determined according to the segments of the multiple first stroke segment and multiple second stroke segments
Number；
The tables of data is generated according to the line number and the columns, and according to the multiple first stroke segment and multiple
The corresponding index alert data of second stroke segment fills the tables of data.
In alternatively possible way of realization, before the vehicle operation data for obtaining branch's journey to be evaluated, also wrap
It includes：
The preset rules are based on to vehicle sample running data and generate sample data table, wherein the vehicle sample row
Sailing data includes：The corresponding sample index's alert data of sample index and the sample index in vehicle driving, it is described
It include not generating the vehicle sample running data of multiple first sample stroke segments of collision accident, and generate in sample data table
The vehicle sample running data of multiple second sample stroke segments of collision accident；
Vehicle sample running data in the sample data table is counted, acquisition does not generate the first of collision accident
Corresponding first standard deviation of each sample index and the first average value in sample stroke segment；
Obtain corresponding second standard deviation of each sample index and second in the sample stroke segment for generating collision accident
Average value, to establish the default characteristic model.
It is described according to the average value and default characteristic model in alternatively possible way of realization, it determines described
The safety trend numerical value of each index item in branch's journey to be evaluated, including：
According to the average value and default characteristic model, the peace of each index item under determination is per second in preset time period
Full tendentiousness numerical value；
Averaging operation is carried out to the safety trend numerical value of the identical index item under per second in the preset time period, is obtained
To the average value of the safety trend numerical value of each index item；
Using the average value of the safety trend numerical value of each index item as each finger in branch's journey to be evaluated
Mark the safety trend numerical value of item.
It is described according to the average value and default characteristic model in alternatively possible way of realization, it determines default
In period it is per second under each index item safety trend numerical value, including：
According to the first standard deviation in the average value of each index item, the default characteristic model and described first flat
The corresponding safe probability value of each index item described in mean value computation；
According to the second standard deviation in the average value of each index item, the default characteristic model and described second flat
The corresponding dangerous probability value of each index item described in mean value computation；
It is determined according to each corresponding safe probability value of index item and the dangerous probability value in preset time
Section in it is per second under each index item safety trend numerical value.
In alternatively possible way of realization, further include：
By be averaging operation to the corresponding index alert data of each index item with determination each finger
Mark the average value of item.
In alternatively possible way of realization, it is described establish the default characteristic model after, further include：
The vehicle sample running data is acquired every predetermined period；
The default characteristic model is updated according to the vehicle sample running data.
The methods of marking of the vehicle travel of the embodiment of the present invention obtains the vehicle operation data of branch's journey to be evaluated first,
In, the vehicle operation data includes：The corresponding index alert data of index item and the index item in vehicle driving；So
Determination is corresponding with the vehicle operation data afterwards, it is per second in preset time period under multiple index item in each index item
Average value；Further according to the average value and default characteristic model, the safety of each index item in branch's journey to be evaluated is determined
Tendentiousness numerical value；Then the safety trend numerical value of each index item described in multiple index item to the vehicle operation data
It is weighted summation；Finally using the safety trend numerical value after weighted sum as the appraisal result to branch's journey to be evaluated.
Due to combining more index item, keeps appraisal result more accurate, improve the reasonability of scoring and the property of can refer to, reduce traffic
The generation of accident, improves user experience.
In order to achieve the above object, second aspect of the present invention embodiment proposes a kind of scoring apparatus of vehicle travel, including：
First obtains module, for obtaining the vehicle operation data of branch's journey to be evaluated, wherein the vehicle operation data packet
It includes：The corresponding index alert data of index item and the index item in vehicle driving；
First determining module, it is corresponding with the vehicle operation data for determination, under per second in preset time period
The average value of each index item in multiple index item；
Second determining module, for determining in branch's journey to be evaluated according to the average value and default characteristic model
The safety trend numerical value of each index item；
Processing module, the safety trend for each index item described in multiple index item to the vehicle operation data
Property numerical value is weighted summation；
Third determining module, for being commented using the safety trend numerical value after weighted sum as to branch's journey to be evaluated
Divide result.
In a kind of possible way of realization, first determining module is specifically used for：
Branch's journey to be evaluated is divided according to whether generating collision accident, is not generated the first of collision accident
Branch's journey to be evaluated and the second branch's journey to be evaluated for generating collision accident；
Described first branch's journey to be evaluated is split based on the interval duration of the preset time period, obtains multiple durations
For the first stroke segment of the interval duration；
To the stroke segment in the interval duration before each second branch's journey interception to be evaluated and as second stroke segment；
According to the index item and the finger of vehicle operation data in multiple first stroke segments and multiple second stroke segments
It marks the corresponding index alert data of item and is based on preset rules generation tables of data；
The corresponding index alert data in the tables of data is counted, it is every in preset time period to determine
The average value and average value as each index item of the corresponding index alert data of each index item under second.
It is described according in multiple first stroke segments and multiple second stroke segments in alternatively possible way of realization
The index item of vehicle operation data and the corresponding index alert data of the index item are based on preset rules and generate tables of data,
In, the preset rules are：
Obtain the item number of the index item in the vehicle driving；
The columns of the tables of data is determined according to the item number and the interval duration；
The row of the tables of data is determined according to the segments of the multiple first stroke segment and multiple second stroke segments
Number；
The tables of data is generated according to the line number and the columns, and according to the multiple first stroke segment and multiple
The corresponding index alert data of second stroke segment fills the tables of data.
In alternatively possible way of realization, which further includes：
Generation module generates sample data table for being based on the preset rules to vehicle sample running data, wherein institute
Stating vehicle sample running data includes：Corresponding sample index of sample index and the sample index in vehicle driving
Alert data includes the vehicle sample row for not generating multiple first sample stroke segments of collision accident in the sample data table
Data are sailed, and generate the vehicle sample running data of multiple second sample stroke segments of collision accident；
Second obtains module, for counting to the vehicle sample running data in the sample data table, obtains not
Generate corresponding first standard deviation of each sample index and the first average value in the first sample stroke segment of collision accident；
Third obtains module, corresponding for obtaining each sample index in the sample stroke segment for generating collision accident
Second standard deviation and the second average value, to establish the default characteristic model.
In alternatively possible way of realization, second determining module, including：
First determination unit, for according to the average value and default characteristic model, determination to be per second in preset time period
Under each index item safety trend numerical value；
Processing unit is carried out for the safety trend numerical value to the identical index item under per second in the preset time period
It is averaging operation, obtains the average value of the safety trend numerical value of each index item；
Second determination unit, for using the average value of the safety trend numerical value of each index item as it is described to
The safety trend numerical value of each index item in scoring stroke.
In alternatively possible way of realization, first determination unit is specifically used for：
According to the first standard deviation in the average value of each index item, the default characteristic model and described first flat
The corresponding safe probability value of each index item described in mean value computation；
According to the second standard deviation in the average value of each index item, the default characteristic model and described second flat
The corresponding dangerous probability value of each index item described in mean value computation；
It is determined according to each corresponding safe probability value of index item and the dangerous probability value in preset time
Section in it is per second under each index item safety trend numerical value.
In alternatively possible way of realization, which further includes：
4th determining module, for by carrying out averaging operation to the corresponding index alert data of each index item
With the average value of determination each index item.
In alternatively possible way of realization, which further includes：
Acquisition module, for acquiring the vehicle sample running data every predetermined period；
Update module, for being updated according to the vehicle sample running data to the default characteristic model.
The scoring apparatus of the vehicle travel of the embodiment of the present invention obtains the vehicle operation data of branch's journey to be evaluated first,
In, the vehicle operation data includes：The corresponding index alert data of index item and the index item in vehicle driving；So
Determination is corresponding with the vehicle operation data afterwards, it is per second in preset time period under multiple index item in each index item
Average value；Further according to the average value and default characteristic model, the safety of each index item in branch's journey to be evaluated is determined
Tendentiousness numerical value；Then the safety trend numerical value of each index item described in multiple index item to the vehicle operation data
It is weighted summation；Finally using the safety trend numerical value after weighted sum as the appraisal result to branch's journey to be evaluated.
Due to combining more index item, keeps appraisal result more accurate, improve the reasonability of scoring and the property of can refer to, reduce traffic
The generation of accident, improves user experience.
The additional aspect of the present invention and advantage will be set forth in part in the description, and will partially become from the following description
Obviously, or practice through the invention is recognized.
Detailed description of the invention
Above-mentioned and/or additional aspect and advantage of the invention will become from the following description of the accompanying drawings of embodiments
Obviously and it is readily appreciated that, wherein：
Fig. 1 is the flow diagram of the methods of marking of the vehicle travel of one embodiment of the invention；
Fig. 2 is the flow diagram of the methods of marking of the vehicle travel of another embodiment of the present invention；
Fig. 3 is the vehicle operation data for branch's journey to be evaluated that the methods of marking of the vehicle travel provided according to the present invention generates
Table；
Fig. 4 is the vehicle sample running data table that the methods of marking of the vehicle travel provided according to the present invention generates；
Fig. 5 is the structural schematic diagram of the scoring apparatus of the vehicle travel of one embodiment of the invention；
Fig. 6 is the structural schematic diagram of the scoring apparatus of the vehicle travel of another embodiment of the present invention；
Fig. 7 is the structural schematic diagram of the scoring apparatus of the vehicle travel of another embodiment of the present invention.
Specific embodiment
The embodiment of the present invention is described below in detail, examples of the embodiments are shown in the accompanying drawings, wherein from beginning to end
Same or similar label indicates same or similar element or element with the same or similar functions.Below with reference to attached
The embodiment of figure description is exemplary, it is intended to is used to explain the present invention, and is not considered as limiting the invention.On the contrary,
The embodiment of the present invention includes all changes fallen within the scope of the spiritual and intension of attached claims, modification and is equal
Object.
The embodiment of the present invention is based only upon the fatigue data of driver for existing driving behavior methods of marking, in vehicle driving
The a limited number of vehicle data such as acceleration value carry out driving behavior scoring, appraisal result is not accurate, and reference value is low, user
Experience difference problem, propose it is a kind of vehicle operation data is temporally segmented to cutting, in conjunction with many index item, real-time perfoming is accurate
The method of scoring.
Below with reference to the accompanying drawings the methods of marking and device of the vehicle travel of the embodiment of the present invention are described.
Fig. 1 is the flow diagram of the methods of marking of the vehicle travel of one embodiment of the invention.
As shown in Figure 1, the methods of marking of the vehicle travel includes：
Step 101, the vehicle operation data of branch's journey to be evaluated is obtained.
Wherein, vehicle operation data includes：The corresponding index alert data of index item and index item in vehicle driving.
Specifically, the methods of marking of vehicle travel provided in an embodiment of the present invention, executing subject mention for the embodiment of the present invention
The scoring apparatus of the vehicle travel of confession, the device can be configured in any motor vehicles, be commented with realizing vehicle travel
Point.
Wherein, the index item in vehicle driving can be for example including：Collision, zig zag, it is anxious slow down, anxious acceleration, sudden turn of events road,
Hypervelocity, fatigue driving, long-time idling, frequent lane change, revolving speed be excessively high, water temperature over-high, neutral position sliding, vehicle single stroke traveling
Mileage, main furnace building light switch, dipped beam lamp switch, side-marker lamp switch, fog lamp switch, left steering lamp switch, right turn lamp switch, danger
Lamp switch, door contact interrupter, door lock switch, car window switch, control unit of engine (ECM)/engine control module (ECU),
Anti-blocking brake system (ABS), electronic security(ELSEC) air bag (SRS), machine oil (pressure, temperature), maintenance, wheel tyre pressure, parking brake state,
Brake pedal, brake pedal relative position, gas pedal, gas pedal relative position, clutch state, seat belt status, power supply
(ACC) signal, key status, wiper status, air-conditioning switch gear, Engine Inlet Temperature, air-conditioning vehicle interior temperature etc. it is any with
The related index of vehicle driving.
In an embodiment of the present invention, index alert data, can the corresponding alert data of for example each index item.
Specifically, in embodiments of the present invention, data when each index item can be alarmed are denoted as 1, do not report
Data when alert are denoted as 0.
When specific implementation, mobile device, on-board automatic diagnosis system (On-Board Diagnostics, letter can be passed through
Claim OBD) or vehicle before install the equipment of standby, etc. any available vehicle operation data, obtain the vehicle of branch's journey to be evaluated
Running data.
Step 102, determination it is corresponding with vehicle operation data, it is per second in preset time period under multiple index item in often
The average value of a index item.
Wherein, preset time period can be 10 seconds (s), 15s, 20s, etc., specifically, can be according to the class of OBD equipment
The variation of type or other factors is configured.
When specific implementation, as shown in Fig. 2, step 102 may include：
Step 102A treats scoring stroke and is divided according to whether generating collision accident, do not generated collision accident
First branch's journey to be evaluated and generate collision accident second branch's journey to be evaluated.
Specifically, can be divided into according to whether the event of colliding by branch's journey to be evaluated of vehicle and not generate collision accident
First branch's journey to be evaluated and generate collision accident second branch's journey to be evaluated.
Step 102B, the interval duration based on preset time period is split first branch's journey to be evaluated, when obtaining multiple
The first stroke segment of a length of interval duration.
Step 102C, to the stroke segment in each second branch's journey interception space before duration to be evaluated and as second stroke
Segment.
It is understood that branch's journey to be evaluated, may include multiple first branch's journeys to be evaluated and multiple second branches to be evaluated
Journey., can be by each first branch's journey to be evaluated when specific implementation, the interval duration of section is split at preset timed intervals, is obtained more
Each second branch's journey to be evaluated is intercepted the stroke segment in space before duration, as second stroke piece by a first stroke segment
Section.
As an example it is assumed that preset time period is 15s, then can by the first of 2min branch's journey to be evaluated, with 15s into
Row cutting, obtains 8 first stroke segments.The stroke segment for intercepting the preceding 15s of second branch's journey to be evaluated, as one the
Two stroke segments.
Step 102D, according to the index of vehicle operation data in multiple first stroke segments and multiple second stroke segments
Item index alert data corresponding with index item is based on preset rules and generates tables of data.
When specific implementation, the purpose of for the ease of carrying out data preservation and calculating, can by multiple first stroke segments and
The corresponding index alert data of index item and index item of vehicle operation data is based on preset rules in multiple second stroke segments
Generate tables of data.
Wherein, preset rules are：
Obtain the item number of the index item in vehicle driving；
The columns of tables of data is determined according to item number and interval duration；
The line number of tables of data is determined according to the segments of multiple first stroke segments and multiple second stroke segments；
Tables of data is generated according to line number and columns, and according to pair of multiple first stroke segments and multiple second stroke segments
The index alert data filling-in-data-forms answered.
Wherein, the item number of index item can be configured according to the actual situation.The columns of tables of data, when can be interval
Long * item number+1.The line number of tables of data can be segments+second stroke segment segments+2 of first stroke segment.
As an example it is assumed that the index item in vehicle driving is " anxious to accelerate " and " hypervelocity " 2, of first stroke segment
Number is 3, and the number of second stroke segment is 2, when interval a length of 3s, then according to preset rules, the columns of tables of data is 3*2+1=
7, the line number of tables of data is 3+2+2=7, the tables of data of 7 rows 7 column can be generated according to line number and columns, and according to 3 the first rows
Journey segment and the corresponding index alert data filling-in-data-forms of 2 second stroke segments, as shown in Figure 3.
Step 102E counts the corresponding index alert data in tables of data, to determine in preset time period
The average value of the corresponding index alert data of each index item under per second and average value as each index item.
When specific implementation, index alert data corresponding in tables of data can be counted, by each index item
Corresponding index alert data carries out averaging operation, with the average value of each index item of determination.Specifically, can be will be multiple
First stroke segment and the corresponding index alert data of multiple second stroke segments, after generating tables of data by preset rules, by table
In corresponding each row data be added, and divided by line number, obtain it is per second in preset time period under the corresponding index of each index item
Alert data.
For example, by taking tables of data shown in Fig. 3 as an example, the data of the 3-7 row of tables of data, 1-6 column are added by row,
And divided by 5, can be obtained in 1-3 seconds, it is per second under " anxious accelerate " and the corresponding index alarm number of " hypervelocity " index item
According to average value, i.e., the average value of each index item.
Step 103, according to average value and default characteristic model, determine that the safety of each index item is inclined in branch's journey to be evaluated
Tropism numerical value.
It is understood that the equipment such as OBD, which can also obtain, largely to be gone through in addition to branch's journey vehicle operation data to be evaluated
History data, these data can be used as vehicle sample data, to establish default characteristic model.That is, in embodiments of the present invention, obtaining
Before the vehicle operation data for taking branch's journey to be evaluated, can also include：
Step 201, preset rules are based on to vehicle sample running data and generate sample data table.
Wherein, vehicle sample running data includes：The corresponding sample of sample index and sample index in vehicle driving
This index alert data.
Specifically, after obtaining vehicle sample running data, it can be according to the method for step 102A-102D, by vehicle sample
This running data is divided into the multiple first sample stroke segments for not generating collision accident, and produce according to whether the event of colliding
Multiple second sample stroke segments of raw collision accident, then according to multiple first sample stroke segments and multiple second sample rows
In journey segment, the corresponding index alert data of index item and index item of vehicle sample running data is generated based on preset rules
Sample data table, wherein include the vehicle sample for not generating multiple first sample stroke segments of collision accident in sample data table
This running data, and generate the vehicle sample running data of multiple second sample stroke segments of collision accident.
Step 202, the vehicle sample running data in sample data table is counted, acquisition does not generate collision accident
Corresponding first standard deviation of each sample index and the first average value in first sample stroke segment.
Step 203, corresponding second standard of each sample index in the sample stroke segment for generating collision accident is obtained
Difference and the second average value, to establish default characteristic model.
It is understood that include the vehicle sample running data of multiple first sample stroke segments in sample data table,
With the vehicle sample running data of multiple second sample stroke segments, and each first sample stroke segment and each second sample
The vehicle sample running data of stroke segment may include the index alert data of multiple sample index.Implement in the present invention
, can be according in multiple sample index in example, the corresponding data of each sample index determine and do not generate the of collision accident
Corresponding first standard deviation of each sample index and the first average value in the same this stroke segment, and generate the sample of collision accident
Corresponding second standard deviation of each sample index and the second average value in this stroke segment, to establish default characteristic model.Tool
The method of body averaged with standard deviation, the prior art are involved in, and details are not described herein again.By combining more index
, default characteristic model is established, appraisal result can be made more rationally more accurate, have more reference value.
As an example it is assumed that sample data table according to the 3rd row the 1st as shown in figure 4, then arrange, the 3rd row the 3rd column, the 3rd row the 5th
Column, the 4th row the 1st column, the 4th row the 3rd column, the 4th row the 5th column, the 5th row the 1st column, the 5th row the 3rd column, the data of the 5th row the 5th column can
To obtain the first average value and the first standard deviation of sample index " zig zag ".It is arranged according to the 3rd row the 2nd, the 3rd row the 4th column, the
3 rows the 6th column, the 4th row the 2nd column, the 4th row the 4th column, the 4th row the 6th column, the 5th row the 2nd column, the 5th row the 4th column, the 5th row the 6th column
Data, the first average value and the first standard deviation of available sample index " hypervelocity ".It is arranged according to the 6th row the 1st, the 6th row the 3rd
Column, the 6th row the 5th column, the 7th row the 1st column, the 7th row the 3rd column, the data of the 7th row the 5th column, available sample index " racing
It is curved " the second average value and the second standard deviation.It is arranged according to the 6th row the 2nd, the 6th row the 4th column, the 6th row the 6th column, the 7th row the 2nd column,
7th row the 4th column, the data of the 7th row the 6th column, the second average value and the second standard deviation of available sample index " hypervelocity ",
To establish default characteristic model.
Further it will be understood that vehicle sample running data does not immobilize in a kind of possible way of realization
, with the variation of time or other factors, vehicle sample running data can also generate variation, and it is corresponding, preset characteristic model
Also variation can be generated, therefore, in embodiments of the present invention, after establishing default characteristic model, can also include：
Vehicle sample running data is acquired every predetermined period；
Default characteristic model is updated according to vehicle sample running data.
Wherein, predetermined period can be 1 hour, 2 hours, 1 day, 2 days, etc..By being carried out more to default characteristic model
Newly, appraisal result can be made more acurrate.
When specific implementation, after establishing default characteristic model, can according to average value and default characteristic model, determine to
The safety trend numerical value of each index item in scoring stroke.Detailed process may include：
Step 103A, each index according to average value and default characteristic model, under determination is per second in preset time period
The safety trend numerical value of item.
Specifically, the safety trend numerical value of each index item under per second in preset time period, can pass through each finger
It marks the corresponding safe probability value of item and dangerous probability value determines.
Wherein, the corresponding safe probability value of each index item, can be according to the average value of each index item, default character modules
The first standard deviation and the first mean value calculation in type obtain.It, can be with STD when specific implementationS(E1) indicate index item E1's
First standard deviation, with AVGS(E1) the first average value for indicating index item E1, indicates to be evaluated point of run-length data in index item with e1
Average value under E1, exp indicate the truth of a matter of natural logrithm function, are approximately equal to 2.71828182845, then basisThe safe probability value (e1) of available e1.
The corresponding dangerous probability value of each index item, can be according in the average value of each index item, default characteristic model
The second standard deviation and the second mean value calculation obtain.It, can be with STD when specific implementationD(E1) the second of index item E1 is indicated
Standard deviation, with AVGD(E1) the second average value for indicating index item E1, indicates to be evaluated point of run-length data at index item E1 with e1
Average value, exp indicate natural logrithm function the truth of a matter, be approximately equal to 2.71828182845, then basisThe dangerous probability value (e1) of available e1.
It, then can be according to formula after the corresponding safe probability value of each index item and dangerous probability value has been determined：Safety is general
Rate value (e1)/(safe probability value (e1)+danger probability value (e1)), determine it is per second under each index item safety trend number
Value, i.e. safety trend (e1).
Step 103B carries out averaging fortune to the safety trend numerical value of the identical index item under per second in preset time period
It calculates, obtains the average value of the safety trend numerical value of each index item.
Step 103C, using the average value of the safety trend numerical value of each index item as each finger in branch's journey to be evaluated
Mark the safety trend numerical value of item.
As an example it is assumed that preset time period is 15s, and it is per second lower comprising " anxious to accelerate " and " hypervelocity " 2 index item, then may be used
With by 15s, it is per second under the safety trend numerical value of " anxious to accelerate " be added, divided by 15, multiplied by 100, obtain branch to be evaluated
The safety trend numerical value of " anxious to accelerate " in journey.By in 15s, it is per second under the safety trend numerical value of " hypervelocity " be added, divided by
15, multiplied by 100, obtain the safety trend numerical value of " hypervelocity " in branch's journey to be evaluated.
Step 104, the safety trend numerical value of each index item in multiple index item of vehicle operation data is added
Power summation.
Step 105, using the safety trend numerical value after weighted sum as the appraisal result for treating scoring stroke.
Specifically, assuming includes x index item in vehicle operation data, it is determined that each index item in branch's journey to be evaluated
Safety trend numerical value after, can by the safety trend numerical value of each index item by 100* [w1* safety trend (e1)+
W2* safety trend (e2)+...+wx* safety trend (ex)] it is weighted summation, by the safety trend after weighted sum
Numerical value is as the appraisal result for treating scoring stroke.Wherein, w1, w2 ..., wx indicate the corresponding weight of each index item, each weight
Range be 0 to 1, can be configured according to the actual situation.
The methods of marking of the vehicle travel of the embodiment of the present invention obtains the vehicle operation data of branch's journey to be evaluated first,
In, vehicle operation data includes：The corresponding index alert data of index item and index item in vehicle driving；Then determine with
Vehicle operation data is corresponding, it is per second in preset time period under multiple index item in each index item average value；Root again
According to average value and default characteristic model, the safety trend numerical value of each index item in branch's journey to be evaluated is determined；Then to vehicle
The safety trend numerical value of each index item is weighted summation in multiple index item of running data；Finally by weighted sum
Safety trend numerical value afterwards is as the appraisal result for treating scoring stroke.Due to combining more index item, make appraisal result
More precisely, the reasonability of scoring and the property of can refer to are improved, reduces traffic accident, improves user experience.
In order to realize above-described embodiment, the present invention also proposes a kind of scoring apparatus of vehicle travel.
Fig. 5 is the structural schematic diagram of the scoring apparatus of the vehicle travel of one embodiment of the invention.
As shown in figure 5, the scoring apparatus of the vehicle travel includes：
First obtains module 51, for obtaining the vehicle operation data of branch's journey to be evaluated, wherein vehicle operation data packet
It includes：The corresponding index alert data of index item and index item in vehicle driving；
First determining module 52, for determination it is corresponding with vehicle operation data, it is per second in preset time period under it is more
The average value of each index item in a index item；
Second determining module 53, for determining each finger in branch's journey to be evaluated according to average value and default characteristic model
Mark the safety trend numerical value of item；
Processing module 54, the safety trend numerical value for each index item in multiple index item to vehicle operation data
It is weighted summation；
Third determining module 55, for using the safety trend numerical value after weighted sum as the scoring for treating scoring stroke
As a result.
Specifically, the scoring apparatus of vehicle travel provided in this embodiment, for executing vehicle provided by the above embodiment
The methods of marking of stroke.The scoring apparatus of the vehicle travel can be configured in any motor vehicles.
In a kind of possible way of realization, above-mentioned first determining module 52 is specifically used for：
It treats scoring stroke to be divided according to whether generating collision accident, do not generated collision accident first is to be evaluated
Branch's journey and the second branch's journey to be evaluated for generating collision accident；
Interval duration based on preset time period is split first branch's journey to be evaluated, when obtaining multiple when a length of interval
Long first stroke segment；
To the stroke segment in each second branch's journey interception space before duration to be evaluated and as second stroke segment；
According to the index item and index item of vehicle operation data in multiple first stroke segments and multiple second stroke segments
Corresponding index alert data is based on preset rules and generates tables of data；
Corresponding index alert data in tables of data is counted, with determine in preset time period it is per second under it is every
The average value of the corresponding index alert data of a index item and average value as each index item.
Wherein, preset rules are：
Obtain the item number of the index item in vehicle driving；
The columns of tables of data is determined according to item number and interval duration；
The line number of tables of data is determined according to the segments of multiple first stroke segments and multiple second stroke segments；
Tables of data is generated according to line number and columns, and according to pair of multiple first stroke segments and multiple second stroke segments
The index alert data filling-in-data-forms answered.
In alternatively possible way of realization, above-mentioned second determining module 53, including：
First determination unit is used for according to average value and default characteristic model, under determination is per second in preset time period
The safety trend numerical value of each index item；
Processing unit carries out asking flat for the safety trend numerical value to the identical index item under per second in preset time period
Equal operation obtains the average value of the safety trend numerical value of each index item；
Second determination unit, for using the average value of the safety trend numerical value of each index item as in branch's journey to be evaluated
In each index item safety trend numerical value.
Further, the first determination unit is specifically used for：
According in the average value of each index item, default characteristic model the first standard deviation and the first mean value calculation it is each
The corresponding safe probability value of index item；
According in the average value of each index item, default characteristic model the second standard deviation and the second mean value calculation it is each
The corresponding dangerous probability value of index item；
According to the corresponding safe probability value of each index item and dangerous probability value determine in preset time period it is per second under
The safety trend numerical value of each index item.
In alternatively possible way of realization, the scoring apparatus of the vehicle travel further includes：
4th determining module, for by be averaging operation to the corresponding index alert data of each index item with true
The average value of fixed each index item.
It should be noted that the explanation of the aforementioned methods of marking embodiment to vehicle travel is also applied for the embodiment
Vehicle travel scoring apparatus, details are not described herein again.
The scoring apparatus of the vehicle travel of the embodiment of the present invention obtains the vehicle operation data of branch's journey to be evaluated first,
In, vehicle operation data includes：The corresponding index alert data of index item and index item in vehicle driving；Then determine with
Vehicle operation data is corresponding, it is per second in preset time period under multiple index item in each index item average value；Root again
According to average value and default characteristic model, the safety trend numerical value of each index item in branch's journey to be evaluated is determined；Then to vehicle
The safety trend numerical value of each index item is weighted summation in multiple index item of running data；Finally by weighted sum
Safety trend numerical value afterwards is as the appraisal result for treating scoring stroke.Due to combining more index item, make appraisal result
More precisely, the reasonability of scoring and the property of can refer to are improved, reduces traffic accident, improves user experience.
Fig. 6 and Fig. 7 is the structural schematic diagram of the scoring apparatus of the vehicle travel of another embodiment of the present invention, such as Fig. 6 or
Shown in Fig. 7, it is based on embodiment illustrated in fig. 5, the scoring apparatus of the vehicle travel further includes：
Generation module 56 generates sample data table for being based on preset rules to vehicle sample running data, wherein vehicle
Sample running data includes：The corresponding sample index's alert data of sample index and sample index in vehicle driving, sample
It include that the vehicle sample running data for the multiple first sample stroke segments for not generating collision accident and generation are touched in notebook data table
Hit the vehicle sample running data of multiple second sample stroke segments of event；
Second obtains module 57, and for counting to the vehicle sample running data in sample data table, acquisition is not produced
Corresponding first standard deviation of each sample index and the first average value in the first sample stroke segment of raw collision accident；
Third obtains module 58, corresponding for obtaining each sample index in the sample stroke segment for generating collision accident
The second standard deviation and the second average value, to establish default characteristic model.
In a kind of possible way of realization, the scoring apparatus of the vehicle travel further includes：
Acquisition module, for acquiring vehicle sample running data every predetermined period；
Update module, for being updated according to vehicle sample running data to default characteristic model.
It should be noted that the explanation of the aforementioned methods of marking embodiment to vehicle travel is also applied for the embodiment
Vehicle travel scoring apparatus, details are not described herein again.
The scoring apparatus of the vehicle travel of the embodiment of the present invention obtains the vehicle operation data of branch's journey to be evaluated first,
In, vehicle operation data includes：The corresponding index alert data of index item and index item in vehicle driving；Then determine with
Vehicle operation data is corresponding, it is per second in preset time period under multiple index item in each index item average value；Root again
According to average value and default characteristic model, the safety trend numerical value of each index item in branch's journey to be evaluated is determined；Then to vehicle
The safety trend numerical value of each index item is weighted summation in multiple index item of running data；Finally by weighted sum
Safety trend numerical value afterwards is as the appraisal result for treating scoring stroke.Due to combining more index item, make appraisal result
More precisely, the reasonability of scoring and the property of can refer to are improved, reduces traffic accident, improves user experience.
It should be noted that in the description of the present invention, term " first ", " second " etc. are used for description purposes only, without
It can be interpreted as indication or suggestion relative importance.In addition, in the description of the present invention, unless otherwise indicated, the meaning of " multiple "
It is two or more.
Any process described otherwise above or method description are construed as in flow chart or herein, and expression includes
It is one or more for realizing specific logical function or process the step of executable instruction code module, segment or portion
Point, and the range of the preferred embodiment of the present invention includes other realization, wherein can not press shown or discussed suitable
Sequence, including according to related function by it is basic simultaneously in the way of or in the opposite order, to execute function, this should be of the invention
Embodiment person of ordinary skill in the field understood.
It should be appreciated that each section of the invention can be realized with hardware, software, firmware or their combination.Above-mentioned
In embodiment, software that multiple steps or method can be executed in memory and by suitable instruction execution system with storage
Or firmware is realized.It, and in another embodiment, can be under well known in the art for example, if realized with hardware
Any one of column technology or their combination are realized：With for realizing the logic gates of logic function to data-signal
Discrete logic, with suitable combinational logic gate circuit specific integrated circuit, programmable gate array (PGA), scene
Programmable gate array (FPGA) etc..
Those skilled in the art are understood that realize all or part of step that above-described embodiment method carries
It suddenly is that relevant hardware can be instructed to complete by program, the program can store in a kind of computer-readable storage medium
In matter, which when being executed, includes the steps that one or a combination set of embodiment of the method.
It, can also be in addition, each functional unit in each embodiment of the present invention can integrate in a processing module
It is that each unit physically exists alone, can also be integrated in two or more units in a module.Above-mentioned integrated mould
Block both can take the form of hardware realization, can also be realized in the form of software function module.The integrated module is such as
Fruit is realized and when sold or used as an independent product in the form of software function module, also can store in a computer
In read/write memory medium.
Storage medium mentioned above can be read-only memory, disk or CD etc..
In the description of this specification, reference term " one embodiment ", " some embodiments ", " example ", " specifically show
The description of example " or " some examples " etc. means specific features, structure, material or spy described in conjunction with this embodiment or example
Point is included at least one embodiment or example of the invention.In the present specification, schematic expression of the above terms are not
Centainly refer to identical embodiment or example.Moreover, particular features, structures, materials, or characteristics described can be any
One or more embodiment or examples in can be combined in any suitable manner.
Although the embodiments of the present invention has been shown and described above, it is to be understood that above-described embodiment is example
Property, it is not considered as limiting the invention, those skilled in the art within the scope of the invention can be to above-mentioned
Embodiment is changed, modifies, replacement and variant.
Claims (14)
1. a kind of methods of marking of vehicle travel, which is characterized in that include the following steps：
Obtain the vehicle operation data of branch's journey to be evaluated, wherein the vehicle operation data includes：Index in vehicle driving
Item index alert data corresponding with the index item；
Determination it is corresponding with the vehicle operation data, it is per second in preset time period under multiple index item in each index item
Average value；
According to the average value and default characteristic model, the safety trend of each index item in branch's journey to be evaluated is determined
Numerical value；
The safety trend numerical value of each index item described in multiple index item to the vehicle operation data, which is weighted, to be asked
With；
Using the safety trend numerical value after weighted sum as the appraisal result to branch's journey to be evaluated；
The determination is corresponding with the vehicle operation data, it is per second in preset time period under multiple index item in each finger
The average value of item is marked, including：
Branch's journey to be evaluated is divided according to whether generating collision accident, do not generated collision accident first is to be evaluated
Branch's journey and the second branch's journey to be evaluated for generating collision accident；
Described first branch's journey to be evaluated is split based on the interval duration of the preset time period, a length of institute when obtaining multiple
State the first stroke segment of interval duration；
To the stroke segment in the interval duration before each second branch's journey interception to be evaluated and as second stroke segment；
According to the index item and the index item of vehicle operation data in multiple first stroke segments and multiple second stroke segments
Corresponding index alert data is based on preset rules and generates tables of data；
The corresponding index alert data in the tables of data is counted, with determine in preset time period it is per second under
The corresponding index alert data of each index item average value and average value as each index item.
2. the methods of marking of vehicle travel as described in claim 1, which is characterized in that described according to multiple first stroke segments
It is based on the corresponding index alert data of index item and the index item of vehicle operation data in multiple second stroke segments pre-
If rule generates tables of data, wherein the preset rules are：
Obtain the item number of the index item in the vehicle driving；
The columns of the tables of data is determined according to the item number and the interval duration；
The line number of the tables of data is determined according to the segments of the multiple first stroke segment and multiple second stroke segments；
The tables of data is generated according to the line number and the columns, and according to the multiple first stroke segment and multiple second
The corresponding index alert data of stroke segment fills the tables of data.
3. the methods of marking of vehicle travel as described in claim 1, which is characterized in that in the vehicle for obtaining branch's journey to be evaluated
Before running data, further include：
The preset rules are based on to vehicle sample running data and generate sample data table, wherein the vehicle sample travels number
According to including：The corresponding sample index's alert data of sample index and the sample index in vehicle driving, the sample
It include not generating the vehicle sample running data of multiple first sample stroke segments of collision accident, and generate collision in tables of data
The vehicle sample running data of multiple second sample stroke segments of event；
Vehicle sample running data in the sample data table is counted, the first sample for not generating collision accident is obtained
Corresponding first standard deviation of each sample index and the first average value in stroke segment；
Obtain in the sample stroke segment for generating collision accident corresponding second standard deviation of each sample index and second average
Value；
It is established based on first standard deviation, first average value, second standard deviation, second average value described pre-
If characteristic model.
4. the methods of marking of vehicle travel as claimed in claim 3, which is characterized in that described according to the average value and default
Characteristic model determines the safety trend numerical value of each index item in branch's journey to be evaluated, including：
Inclined according to the safety of the average value and default characteristic model, each index item under determination is per second in preset time period
Tropism numerical value；
Averaging operation is carried out to the safety trend numerical value of the identical index item under per second in the preset time period, obtains institute
State the average value of the safety trend numerical value of each index item；
Using the average value of the safety trend numerical value of each index item as each index item in branch's journey to be evaluated
Safety trend numerical value.
5. the methods of marking of vehicle travel as claimed in claim 4, which is characterized in that described according to the average value and default
Characteristic model, the safety trend numerical value of each index item under determination is per second in preset time period, including：
According in the average value of each index item, the default characteristic model the first standard deviation and first average value
Calculate the corresponding safe probability value of each index item；
According in the average value of each index item, the default characteristic model the second standard deviation and second average value
Calculate the corresponding dangerous probability value of each index item；
It is determined in preset time period according to each corresponding safe probability value of index item and the dangerous probability value
The safety trend numerical value of each index item under per second.
6. the methods of marking of vehicle travel as described in claim 1 or 4, which is characterized in that further include：
By be averaging operation to the corresponding index alert data of each index item with determination each index item
Average value.
7. the methods of marking of vehicle travel as claimed in claim 3, which is characterized in that establish the default character modules described
After type, further include：
The vehicle sample running data is acquired every predetermined period；
The default characteristic model is updated according to the vehicle sample running data.
8. a kind of scoring apparatus of vehicle travel, which is characterized in that including：
First obtains module, for obtaining the vehicle operation data of branch's journey to be evaluated, wherein the vehicle operation data includes：
The corresponding index alert data of index item and the index item in vehicle driving；
First determining module, for determination it is corresponding with the vehicle operation data, it is per second in preset time period under it is multiple
The average value of each index item in index item；
Second determining module, it is each in branch's journey to be evaluated for determining according to the average value and default characteristic model
The safety trend numerical value of index item；
Processing module, the safety trend number for each index item described in multiple index item to the vehicle operation data
Value is weighted summation；
Third determining module, for using the safety trend numerical value after weighted sum as the scoring knot to branch's journey to be evaluated
Fruit；
First determining module, is specifically used for：
Branch's journey to be evaluated is divided according to whether generating collision accident, do not generated collision accident first is to be evaluated
Branch's journey and the second branch's journey to be evaluated for generating collision accident；
Described first branch's journey to be evaluated is split based on the interval duration of the preset time period, a length of institute when obtaining multiple
State the first stroke segment of interval duration；
To the stroke segment in the interval duration before each second branch's journey interception to be evaluated and as second stroke segment；
According to the index item and the index item of vehicle operation data in multiple first stroke segments and multiple second stroke segments
Corresponding index alert data is based on preset rules and generates tables of data；
The corresponding index alert data in the tables of data is counted, with determine in preset time period it is per second under
The corresponding index alert data of each index item average value and average value as each index item.
9. the scoring apparatus of vehicle travel as claimed in claim 8, which is characterized in that the preset rules are：
Obtain the item number of the index item in the vehicle driving；
The columns of the tables of data is determined according to the item number and the interval duration；
The line number of the tables of data is determined according to the segments of the multiple first stroke segment and multiple second stroke segments；
The tables of data is generated according to the line number and the columns, and according to the multiple first stroke segment and multiple second
The corresponding index alert data of stroke segment fills the tables of data.
10. the scoring apparatus of vehicle travel as claimed in claim 8, which is characterized in that the device further includes：
Generation module generates sample data table for being based on the preset rules to vehicle sample running data, wherein the vehicle
Sample running data includes：The corresponding sample index's alarm of sample index and the sample index in vehicle driving
Data include the vehicle sample traveling number for the multiple first sample stroke segments for not generating collision accident in the sample data table
According to, and generate the vehicle sample running data of multiple second sample stroke segments of collision accident；
Second obtains module, and for counting to the vehicle sample running data in the sample data table, acquisition is not generated
Corresponding first standard deviation of each sample index and the first average value in the first sample stroke segment of collision accident；
Third obtains module, for obtaining each sample index corresponding second in the sample stroke segment for generating collision accident
Standard deviation and the second average value are based on first standard deviation, first average value, second standard deviation, described second
Average value establishes the default characteristic model.
11. the scoring apparatus of vehicle travel as claimed in claim 10, which is characterized in that second determining module, including：
First determination unit is used for according to the average value and default characteristic model, under determination is per second in preset time period
The safety trend numerical value of each index item；
Processing unit carries out asking flat for the safety trend numerical value to the identical index item under per second in the preset time period
Equal operation obtains the average value of the safety trend numerical value of each index item；
Second determination unit, for using the average value of the safety trend numerical value of each index item as described wait score
The safety trend numerical value of each index item in stroke.
12. the scoring apparatus of vehicle travel as claimed in claim 11, which is characterized in that first determination unit, specifically
For：
According in the average value of each index item, the default characteristic model the first standard deviation and first average value
Calculate the corresponding safe probability value of each index item；
According in the average value of each index item, the default characteristic model the second standard deviation and second average value
Calculate the corresponding dangerous probability value of each index item；
It is determined in preset time period according to each corresponding safe probability value of index item and the dangerous probability value
The safety trend numerical value of each index item under per second.
13. the scoring apparatus of the vehicle travel as described in claim 8 or 11, which is characterized in that the device further includes：
4th determining module, for by be averaging operation to the corresponding index alert data of each index item with true
The average value of fixed each index item.
14. the scoring apparatus of vehicle travel as claimed in claim 10, which is characterized in that the device further includes：
Acquisition module, for acquiring the vehicle sample running data every predetermined period；
Update module, for being updated according to the vehicle sample running data to the default characteristic model.
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| CN110895566A (en) * | 2018-08-23 | 2020-03-20 | 优估（上海）信息科技有限公司 | Vehicle evaluation method and device |
| CN109263648B (en) * | 2018-11-16 | 2021-01-15 | 深圳市元征科技股份有限公司 | Driving behavior evaluation method, device and equipment |
| CN109800984B (en) * | 2019-01-16 | 2024-03-01 | 平安科技（深圳）有限公司 | Driving level evaluation method, driving level evaluation device, computer device, and storage medium |
| CN111833480B (en) * | 2019-04-12 | 2022-04-15 | 比亚迪股份有限公司 | Driving behavior detection method and device and vehicle |
| CN110287703B (en) * | 2019-06-10 | 2021-10-12 | 百度在线网络技术（北京）有限公司 | Method and device for detecting vehicle safety risk |
| CN110689642B (en) * | 2019-09-18 | 2020-10-09 | 山东大学 | Abnormal driving distinguishing method and system based on vehicle-mounted OBD data and probability statistics |
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