CN110070245A - A kind of driver's scoring arrangement method based on driving data - Google Patents
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Abstract
The driver that the invention discloses a kind of based on driving data scores arrangement method comprising: statistics is carried out to driving data corresponding to each driving behavior and data cleansing is carried out to the driving data counted on；Calculate the average value and step-length of driving data corresponding to each driving behavior；Establish analytic hierarchy structure, be then based on analytic hierarchy structure and establish evaluations matrix, and according to evaluations matrix calculate each driving behavior corresponding to weight；Each driving data of driver to be scored is acquired, the score of each driving behavior of driver is calculated；The driving scoring of driver is obtained then in conjunction with the weight of each driving behavior and ranking is carried out to driver according to the driving of driver scoring.Method of the invention can score to the driving behavior of driver by quantizating index, thus the quality of clear driver driving behavior, while Improving advice can be proposed to driver for the score of driver driving behavior, to gradually improve every driving behavior of driver.
Description
Technical field
The present invention relates to driver driving behavior examination technical field more particularly to a kind of driver based on driving data
Score arrangement method.
Background technique
Tradition for the Assessment of driver be typically all pass through the rules and regulations of company as evaluation criterion to driver into
Row examination, this mode can not provide objective evaluation to the level of aggregation of driver.For example if manager wonders and is managed
The driving behavior of which driver is the most economical in the fleet of linchpin, and the saving of oil mass can be brought for company, then being examined by traditional
Kernel mode is to hardly result in desired result, therefore develop a kind of new Assessment and just become in the industry and urgently solve
Certainly the problem of.
Summary of the invention
It scores arrangement method in view of the above-mentioned problems, the application provides a kind of driver based on driving data, this method can be with
It is scored by quantizating index the driving behavior of driver, thus the quality of clear driver driving behavior, while can be directed to
The score of driver driving behavior proposes Improving advice to driver, to gradually improve every driving behavior of driver.The method
Include:
Multiple driving behaviors are defined according to engine data, then to corresponding to each driving behavior in the default time limit
Driving data carries out statistics and carries out data cleansing to the driving data counted on；
Outlier in driving data after cleaning is removed, driving number corresponding to each driving behavior is then calculated
According to average value and step-length, wherein step-length=average value/50；
Analytic hierarchy structure is established, the analytic hierarchy structure is then based on and establishes evaluations matrix, and according to the evaluation
Matrix calculates weight corresponding to each driving behavior；First layer in the analytic hierarchy structure is commented for driving economy
Point, the second layer is each driving behavior；
Each driving data for acquiring driver to be scored passes through formula when driving data and the positive correlation of driving behavior scoreThe score for calculating each driving behavior, when driving data and driving behavior score negative correlation
Pass through formulaCalculate the score of each driving behavior；
Wherein n is positive integer, C1~CnRespectively indicate the score of each driving behavior, X1~XnRespectively indicate the driver's
Each driving data,Respectively indicate average value corresponding to each driving behavior, K1~KnIt is right to respectively indicate each driving row institute
The step-length answered；
Based on formulaThe driving scoring C of the driver is calculated, and according to the driving of driver scoring pair
The driver carries out ranking；Wherein W1~WnRespectively indicate weight corresponding to each driving behavior.
Optionally, the driving behavior includes idling duration, average speed, non-economy revolving speed duration accounting, thousand kilometers of brakes
Train number number, brake mileage, thousand kilometers of anxious acceleration times and thousand kilometers of overspeed numbers；
Wherein, the idling duration, non-economy revolving speed duration accounting, thousand kilometers of brake numbers, brake mileage, thousand kilometers of urgency
Acceleration times and thousand kilometers of overspeed numbers are negatively correlated with driving behavior score, the average speed and driving behavior score
It is positively correlated.
Optionally, after described the step of carrying out ranking to the driver according to the driving of driver scoring, the method is also
Include:
Two minimum driving behaviors of driver's score are shown, and for minimum two of driver's score
Driving behavior provides improvement opinion respectively.
Optionally, two driving behaviors minimum for driver's score provide improvement opinion respectively, comprising: when
When driving behavior is idling duration, improving opinion is to suggest shortening idling duration；When driving behavior is average speed, improve meaning
See to suggest promoting average speed；When driving behavior is non-economic speed duration accounting, improving opinion is to suggest improving shift
Opportunity improves economic speed duration accounting；When driving behavior is thousand kilometers of brake numbers, improving opinion is that suggestion is pre- in advance
Sentence, reduces brake number；When driving behavior is brake fare register, improving opinion is to suggest prejudging in advance, reduces brake mileage；When
When driving behavior is thousand kilometers of anxious acceleration times, improving opinion is to suggest reducing anxious acceleration times；When driving behavior is thousand kilometers
When overspeed number, improving opinion is to suggest that control vehicle revolving speed is run in economic speed section.
Optionally, the described pair of driving data counted on carries out data cleansing, specifically:
Driving data range corresponding to each driving behavior is determined respectively, when the driving data counted on is not driven accordingly
When sailing within the scope of driving data corresponding to behavior, corresponding driving data is deleted.
Optionally, the outlier in the driving data by after cleaning removes, specifically:
When the value of driving data after cleaning is greater than Q1+1.5IQR, corresponding driving data is deleted, wherein Q1 is clear
The upper quartile point of driving data after washing, IQR be cleaning after driving data upper lower quartile point in away from.
Optionally, it is described according to the evaluations matrix calculate each driving behavior corresponding to weight, comprising:
Step a calculates the product M of each row element in the evaluations matrix Ai, obtain a n dimensional vector T1=[M1,
M2,…Mn]T, wherein n is the order of the evaluations matrix；
Step b calculates the n times root of each element in n dimensional vector T1Obtain n dimensional vector
Step c is based on formulaNormalization process is carried out to n dimensional vector T2 and obtains n dimensional vector W
=[W1,W2,…Wn]T, while judging whether the evaluations matrix A meets consistency；
Step d is adjusted the element in the evaluations matrix and lays equal stress on when the evaluations matrix is unsatisfactory for consistency
It is new to execute step a~c；When the evaluations matrix meets consistency, correspondingly each element in n dimensional vector W is as respectively driven
Sail weight corresponding to behavior.
It is optionally, described to judge whether the evaluations matrix meets consistency, comprising:
Based on formulaCalculate the maximum eigenvalue λ of the evaluations matrixmax；
Based on formulaThe CR value of the evaluations matrix is calculated, whereinCR indicates the evaluation
The consistency check coefficient of matrix, CI indicate the coincident indicator of the evaluations matrix, and RI indicates that the evaluations matrix is corresponding
Aver-age Random Consistency Index；
It determines that the evaluations matrix meets consistency as CR < 0.1, determines the evaluations matrix when CR is not less than 0.1
It is unsatisfactory for consistency.
Driver's scoring arrangement method based on driving data of the invention passes through to driving number corresponding to each driving behavior
Driving data progress data cleansing according to statistics is carried out and to counting on；Calculate driving data corresponding to each driving behavior
Average value and step-length；Analytic hierarchy structure is established, analytic hierarchy structure is then based on and establishes evaluations matrix, and according to evaluation square
Battle array calculates weight corresponding to each driving behavior；Each driving data of driver to be scored is acquired, each driving of driver is calculated
The score of behavior；The driving scoring of driver is obtained then in conjunction with the weight of each driving behavior and is scored according to the driving of driver to department
Machine carries out ranking.Method of the invention can score to the driving behavior of driver by quantizating index, thus clear driver
The quality of driving behavior, while Improving advice can be proposed to driver for the score of driver driving behavior, thus gradually perfect
Every driving behavior of driver.
Detailed description of the invention
Fig. 1 is the flow diagram of driver's scoring arrangement method provided in an embodiment of the present invention based on driving data.
Specific embodiment
In order to make the object, technical scheme and advantages of the embodiment of the invention clearer, below in conjunction with the embodiment of the present invention
In attached drawing, technical scheme in the embodiment of the invention is clearly and completely described, it is clear that described embodiment is
A part of the embodiments of the present invention, instead of all the embodiments.Based on the embodiments of the present invention, ordinary skill people
Member's every other embodiment obtained without making creative work, shall fall within the protection scope of the present invention.
Referring to Fig. 1, Fig. 1 shows the process of driver's scoring arrangement method based on driving data in the present embodiment
Figure, should based on driving data driver score arrangement method specifically includes the following steps:
S101 defines multiple driving behaviors according to engine data, then to each driving behavior institute in the default time limit
Corresponding driving data carries out statistics and carries out data cleansing to the driving data counted on.
It should be noted that above-mentioned engine data is the CAN data obtained from engine, defined multiple driving
Behavior includes idling duration, average speed, non-economy revolving speed duration accounting, thousand kilometers of brake numbers, brake mileage, thousand kilometers of urgency
Acceleration times and thousand kilometers of overspeed numbers；Wherein, idling duration, non-economy revolving speed duration accounting, thousand kilometers of brake numbers,
Brake mileage, thousand kilometers of anxious acceleration times and thousand kilometers of overspeed numbers are negatively correlated namely above-mentioned with driving behavior score
The numerical value of each driving behavior is smaller, and corresponding driving behavior score is higher, and average speed is then positively correlated with driving behavior score,
Namely average speed is bigger, correspondingly driving behavior score is higher.
It can select to count according to specific requirements when counting driving data corresponding to above-mentioned each driving behavior
Time limit, such as every driving data in 1 year can be counted.When counting on every driving data, exists be not inconsistent in order to prevent
It closes desired data to have an impact subsequent calculating, needs to clean the data counted on.Specifically, it is in the present embodiment
Each driving data is determined based on table one whether in the normal range, when driving data not in the normal range when by the driving number
According to deletion.
Table one
S102, the outlier in the driving data after cleaning is removed, and is then calculated corresponding to each driving behavior
The average value and step-length of driving data.
It should be noted that removing the outlier in data in above-mentioned steps primarily to reducing extreme value to average value
It influences, specifically in the present embodiment when the value of driving data is greater than Q1+1.5IQR, it is determined that corresponding driving data is to peel off
Value, at this time deletes the driving data, and wherein Q1 is the upper quartile point of the driving data after cleaning, and IQR is driving after cleaning
Sail in the upper lower quartile points of data away from.
And step-length=average value/50, wherein 50 be score corresponding to average value, as the average value of dead time accounting is
5%, then when the dead time accounting of driver is 5%, correspond to then 50 points of score of dead time accounting.By above-mentioned calculating
The average value and step-length of each driving behavior obtained afterwards are as shown in Table 2:
Table two
| Driving behavior | Average value | Step-length |
| Dead time accounting | 5.3% | 0.1% |
| It brakes number (secondary/1000km) | 325.1 | 6.5 |
| Braking distance accounting | 3.1% | 0.1% |
| Average speed (km/h) | 66.6 | 1.3 |
| Overspeed number (secondary/1000km) | 2.188 | 0.044 |
| Anxious acceleration times (secondary/1000km) | 1.509 | 0.030 |
| Non-economy revolving speed accounting | 34.2% | 0.7% |
S103 establishes analytic hierarchy structure, is then based on analytic hierarchy structure and establishes evaluations matrix, and according to evaluations matrix
Calculate weight corresponding to each driving behavior.
It should be noted that the first layer in above-mentioned analytic hierarchy structure is driving economy scoring, the second layer is respectively to drive
Behavior is sailed, in order to obtain weight corresponding to each driving behavior, it is necessary first to by being compared two-by-two to each driving behavior
Afterwards, according to 9 points for ratio be ranked each driving behavior relative superior or inferior sequence, specifically, in the present embodiment, to each driving behavior into
The result that row compares two-by-two is as shown in Table 3:
Table three
Correspondingly, the evaluations matrix A obtained according to the comparison result in table three is as follows:
Calculating to weight corresponding to each driving behavior, in the present embodiment in the following ways:
Step a, the product M of each row element in Calculation Estimation matrix Ai, obtain a n dimensional vector T1=[M1,M2,…
Mn]T, wherein n is the order of evaluations matrix A；
Step b calculates the n times root of each element in n dimensional vector T1Obtain n dimensional vector
Step c is based on formulaNormalization is carried out to n dimensional vector T2 namely normalized obtains
N dimensional vector W=[W1,W2,…Wn]T, while judging whether evaluations matrix A meets consistency；
Step d is adjusted the element in A and re-execute the steps a~c when A is unsatisfactory for consistency；When A meets
When consistency, correspondingly each element in n dimensional vector W is weight corresponding to each driving behavior, the power of each driving behavior
Weight is as shown in Table 5.And the judgement of the consistency to evaluations matrix A, then in the following way:
Based on formulaCalculate the maximum eigenvalue λ of evaluations matrix Amax；
Based on formulaThe CR value of evaluations matrix A is calculated, whereinRI is random consistency,
Value is obtained according to table four.
It determines that evaluations matrix A meets consistency as CR < 0.1, determines that evaluations matrix A is unsatisfactory for when CR is not less than 0.1
Consistency.Can be with CR=0.017 < 0.1 of above-mentioned evaluations matrix by calculating, therefore above-mentioned evaluations matrix meets consistency.
Table four
| Order | 1 | 2 | 3 | 4 | 5 | 6 | 7 |
| RI | 0.00 | 0.00 | 0.58 | 0.90 | 1.12 | 1.24 | 1.32 |
Table five
S104, acquires each driving data of driver to be scored, and calculates separately the score of each driving behavior of driver.
It should be noted that needing to pass through formula when driving data and driving behavior score are positively correlatedThe score of each driving behavior is calculated, and when driving data and driving behavior score are negatively correlated
When then need to pass through formulaCalculate the score of each driving behavior.
Wherein n is positive integer, C1~CnRespectively indicate the score of each driving behavior, X1~XnRespectively indicate collected department
Each driving data of machine,Respectively indicate average value corresponding to each driving behavior, K1~KnRespectively indicate each driving row
Corresponding step-length.
S105 calculates the driving scoring of driver, and carries out ranking to driver according to the driving of driver scoring.
It should be noted that being based on formula in the present embodimentThe driving scoring C of driver is calculated,
Middle W1~WnRespectively indicate weight corresponding to each driving behavior.
After carrying out ranking to driver according to the driving of driver scoring, two driving behaviors that can also be minimum by driver's score
It shows, and provides improvement opinion respectively for two minimum driving behaviors of driver's score.
Specifically, it is as follows to improve opinion in the present embodiment: when driving behavior is idling duration, improving opinion is to suggest
Shorten idling duration；When driving behavior is average speed, improving opinion is to suggest promoting average speed；When driving behavior right and wrong
When economic speed duration accounting, improving opinion is to suggest improving shift opportunity, improves economic speed duration accounting；Work as driving behavior
When being thousand kilometers of brake numbers, improving opinion is to suggest prejudging in advance, reduces brake number；When driving behavior is brake mileage
When, improving opinion is to suggest prejudging in advance, reduces brake mileage；When driving behavior is thousand kilometers of anxious acceleration times, improve meaning
See to suggest gentle driving, reduces anxious acceleration times；When driving behavior is thousand kilometers of overspeed numbers, improving opinion is to suggest
Control vehicle revolving speed is run in economic speed section.
Driver's scoring arrangement method based on driving data of the present embodiment passes through to driving corresponding to each driving behavior
Data carry out statistics and carry out data cleansing to the driving data counted on；Calculate driving number corresponding to each driving behavior
According to average value and step-length；Analytic hierarchy structure is established, analytic hierarchy structure is then based on and establishes evaluations matrix, and according to evaluation
Matrix calculates weight corresponding to each driving behavior；It acquires each driving data of driver to be scored, calculates that driver is each to drive
Sail the score of behavior；The driving scoring of driver is obtained and according to the driving of driver scoring pair then in conjunction with the weight of each driving behavior
Driver carries out ranking.Method of the invention can score to the driving behavior of driver by quantizating index, to clearly take charge of
The quality of machine driving behavior, while Improving advice can be proposed to driver for the score of driver driving behavior, thus gradually complete
Every driving behavior of kind driver.
It should be noted that, in this document, the terms "include", "comprise" or its any other variant are intended to non-row
His property includes, so that including that process, method, article or the terminal device of a series of elements is not only wanted including those
Element, but also including other elements that are not explicitly listed, or further include for this process, method, article or terminal
The intrinsic element of equipment.In the absence of more restrictions, the element limited by sentence "including a ...", is not arranged
Except there is also other identical elements in process, method, article or the terminal device for including the element.
These are only the preferred embodiment of the present invention, is not intended to restrict the invention, for those skilled in the art
For member, the invention may be variously modified and varied.All within the spirits and principles of the present invention, it is made it is any modification,
Equivalent replacement, improvement etc., should all be included in the protection scope of the present invention.
Claims (8)
- The arrangement method 1. a kind of driver based on driving data scores, which is characterized in that the described method includes:Multiple driving behaviors are defined according to engine data, then to driving corresponding to each driving behavior in the default time limit Data carry out statistics and carry out data cleansing to the driving data counted on；Outlier in driving data after cleaning is removed, driving data corresponding to each driving behavior is then calculated Average value and step-length, wherein step-length=average value/50；Analytic hierarchy structure is established, the analytic hierarchy structure is then based on and establishes evaluations matrix, and according to the evaluations matrix Calculate weight corresponding to each driving behavior；First layer in the analytic hierarchy structure is driving economy scoring, the Two layers are each driving behavior；Each driving data for acquiring driver to be scored passes through formula when driving data and the positive correlation of driving behavior scoreThe score for calculating each driving behavior, when driving data and driving behavior score negative correlation Pass through formulaCalculate the score of each driving behavior；Wherein n is positive integer, C1~CnRespectively indicate the score of each driving behavior, X1~XnRespectively indicate each driving of the driver Data,Respectively indicate average value corresponding to each driving behavior, K1~KnRespectively indicate the corresponding step of each driving row It is long；Based on formulaThe driving scoring C of the driver is calculated, and is scored according to the driving of driver to described Driver carries out ranking；Wherein W1~WnRespectively indicate weight corresponding to each driving behavior.
- 2. driver's scoring arrangement method based on driving data as described in claim 1, which is characterized in that the driving behavior Including idling duration, average speed, non-economy revolving speed duration accounting, thousand kilometers of brake numbers, brake mileage, thousand kilometers of anxious acceleration Number and thousand kilometers of overspeed numbers；Wherein, the idling duration, non-economy revolving speed duration accounting, thousand kilometers of brake numbers, brake mileage, thousand kilometers of anxious acceleration Number and thousand kilometers of overspeed numbers are negatively correlated with driving behavior score, the average speed and driving behavior score positive It closes.
- 3. driver's scoring arrangement method based on driving data as claimed in claim 2, which is characterized in that described according to driver Driving scoring to the driver carry out ranking the step of after, the method also includes:Two minimum driving behaviors of driver's score are shown, and two driving minimum for driver's score Behavior provides improvement opinion respectively.
- 4. driver's scoring arrangement method based on driving data as claimed in claim 3, which is characterized in that described for described Two minimum driving behaviors of driver's score provide improvement opinion respectively, comprising:When driving behavior is idling duration, improving opinion is to suggest shortening idling duration；When driving behavior is average speed, Improving opinion is to suggest promoting average speed；When driving behavior is non-economic speed duration accounting, improving opinion is to suggest changing Into shift opportunity, economic speed duration accounting is improved；When driving behavior is thousand kilometers of brake numbers, improving opinion is to suggest mentioning Preceding anticipation reduces brake number；When driving behavior is brake fare register, improving opinion is to suggest prejudging in advance, is reduced in brake Journey；When driving behavior is thousand kilometers of anxious acceleration times, improving opinion is to suggest reducing anxious acceleration times；When driving behavior is thousand When kilometer overspeed number, improving opinion is to suggest that control vehicle revolving speed is run in economic speed section.
- 5. driver's scoring arrangement method based on driving data as described in claim 1, which is characterized in that described pair counts on Driving data carry out data cleansing, specifically:Driving data range corresponding to each driving behavior is determined respectively, when the driving data counted on does not drive row corresponding When within the scope of corresponding driving data, corresponding driving data is deleted.
- 6. driver based on driving data scores arrangement method as described in claim 1, which is characterized in that it is described will be after cleaning Driving data in outlier remove, specifically:When the value of driving data after cleaning is greater than Q1+1.5IQR, corresponding driving data is deleted, wherein Q1 is after cleaning Driving data upper quartile point, IQR be cleaning after driving data upper lower quartile point in away from.
- 7. driver's scoring arrangement method based on driving data as described in claim 1, which is characterized in that described according to Evaluations matrix calculates weight corresponding to each driving behavior, comprising:Step a calculates the product M of each row element in the evaluations matrix Ai, obtain a n dimensional vector T1=[M1, M2,… Mn]T, wherein n is the order of the evaluations matrix；Step b calculates the n times root of each element in n dimensional vector T1Obtain n dimensional vectorStep c is based on formulaNormalization process is carried out to n dimensional vector T2 and obtains n dimensional vector W=[W1, W2,…Wn]T, while judging whether the evaluations matrix A meets consistency；Step d is adjusted the element in the evaluations matrix and holds again when the evaluations matrix is unsatisfactory for consistency Row step a~c；When the evaluations matrix meets consistency, correspondingly each element in n dimensional vector W is each driving row For corresponding weight.
- 8. driver's scoring arrangement method based on driving data as claimed in claim 7, which is characterized in that described in the judgement Whether evaluations matrix meets consistency, comprising:Based on formulaCalculate the maximum eigenvalue λ of the evaluations matrixmax；Based on formulaThe CR value of the evaluations matrix is calculated, whereinCR indicates the evaluations matrix Consistency check coefficient, CI indicates the coincident indicator of the evaluations matrix, and RI indicates that the evaluations matrix is corresponding average Random index；It determines that the evaluations matrix meets consistency as CR < 0.1, determines that the evaluations matrix is discontented when CR is not less than 0.1 Sufficient consistency.
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