CN105095677B - A kind of drive automatically behavior analysis method and its device - Google Patents
A kind of drive automatically behavior analysis method and its device Download PDFInfo
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Abstract
The present invention relates to car steering behavioral analysis technology field, more particularly to a kind of drive automatically behavior analysis method and its device, gathers motoring condition parameter rotating speed, acceleration, speed first, calculates, and obtains gearratio；Rotating speed is divided into m rotating speed section, gearratio is divided into n gear section, the gearratio and acceleration calculation average value in every speed section and gear section, the average value and acceleration average value of gearratio is obtained, obtains correction data；Collection automobile real time running state parameter is simultaneously contrasted with correction data, and whether analysis automobile is bad traveling.Constantly collection running car data of the invention, the benchmark of driver driving behavioural analysis can sufficiently be established, data are more, the normal driving behavior of driver can more be reacted, also the bad steering behavior of driver just can accurately be contrasted, the compatible well judgment standard of stepless speed-change automobile and step speed change automobile, judges precision height.
Description
Technical field
The present invention relates to car steering behavioral analysis technology field, more particularly to a kind of drive automatically behavior analysis method
And its device.
Background technology
In order to which accurate judgement driver accelerates or anxious slow down this kind of is unfavorable for driving for safety or fuel economy with the presence or absence of anxious
Behavior is sailed, it is necessary to which the driving behavior to driver is monitored and managed, driving behavior typically passes through collection vehicle running data point
The roadcraft of analysis driver is according to the roadcraft of the vehicle drive data analysis driver collected, is carried in the prior art
For " a kind of method for suddenly accelerating or bringing to a halt using acceleration transducer remote real-time monitoring vehicle ", Publication No. is seen：
102107652A, publication date are：2011-06-29 Chinese patent, this method are by detecting that the direction of XYZ axles three adds
Velocity amplitude, then the acceleration of gravity passed through during to tilting carry out the component rejection of XY axles, obtain the accurate acceleration magnitude of vehicle, from
And whether road speed is judged in zone of reasonableness, realize that the anxious of remote real-time monitoring vehicle accelerates or brought to a halt.
Existing car category is various, vehicle, whether load-carrying, automatic catch, manual gear, different road conditions all can be to acceleration
Have an impact, therefore simple calculates acceleration to judge the driving behavior of driver, and error can be caused big, it is as a result inaccurate.Adopt
The road conditions of complexity and different vehicles can not be adapted to traditional determination methods.
The content of the invention
The problem of in order to overcome prior art to exist, goal of the invention of the invention are to propose a kind of wide adaptation range, sentenced
The high driving behavior analysis method of disconnected precision.
Technical scheme is as follows：
A kind of drive automatically behavior analysis method is provided, comprised the following steps：
Step 1: gathered data, automobile is after halted state is changed into mobile status, and collection automobile is in level road, acceleration
The rotating speed Ω of acceleration alpha, speed ν and engine under transport condition；
Step 2: obtaining correction data, every group of speed ν, engine speed Ω are collected according to step 1 first, obtain vapour
The gearratio δ of every group of car, gearratio δ is then divided into m gear section, rotating speed Ω is divided into n rotating speed section, according to
The acceleration a that step 1 collects determines average acceleration of the automobile in each gear section, each rotating speed sectionThen take
The average acceleration in each gear sectionMaximum, obtain peak acceleration amax；
Step 3: data comparison, the real-time rotating speed Ω of automobile is gatheredh, real time acceleration ah, real-time speed vh, calculate and obtain
Real-time gearratio δh, by real-time gearratio δhCorresponding gear section in step 2 is matched to, the real-time rotating speed Ω of collectionh, it is real
Brief acceleration ah, real-time speed vhThe correction data obtained with step 2 is contrasted, and whether the driving behavior for determining automobile is anxious
Accelerate driving behavior, anxious deceleration driving behavior, collision driving behavior.
Frequency acquisition in the step 1 is 1~50 milli second/time, the acceleration of continuous acquisition n times, takes the acceleration
Average value, it is the natural number more than 1 to obtain acceleration a, N.
In step 3, as the real-time rotating speed Ω collectedhMore than or equal to rotary speed threshold value ΩmWhen, automobile is determined currently to be anxious
Accelerate driving behavior, rotary speed threshold value ΩmFor 3000~4000 revolutions per seconds
In the step 3, real time acceleration ahWith the acceleration a in same gear sectionmax, acceleration factor λ1Contrast, when
Real time acceleration ahMore than acceleration factor λ1With acceleration amaxProduct, determine automobile and currently accelerate driving behavior to be anxious；It is described
Acceleration factor λ1For 0.5≤λ1＜ 1.
In the step 3, real time acceleration ahWith the peak acceleration a in same gear sectionmax, acceleration factor λ2It is right
Than as real time acceleration ahMore than acceleration factor λ2With acceleration amaxProduct, it is currently anxious deceleration driving behavior to determine automobile,
The acceleration system λ2For 1≤λ2＜ 4.
In step 3, real-time centripetal acceleration a is gatheredToWith the peak acceleration a in same gear sectionmax, acceleration factor
λ3Contrast, as real-time centripetal acceleration aToMore than acceleration factor λ3With acceleration amaxProduct, determine automobile currently for zig zag
Driving behavior, the acceleration system λ3For 1 ＜ λ3＜ 4.
In the step 3, as the real-time gas pedal depth L collectedhDuring more than gas pedal depth threshold L, it is determined that
Automobile currently accelerates driving behavior to be anxious.
In the step 3, as the real-time brake pedal depth K collectedhDuring more than brake pedal depth threshold K, it is determined that
Automobile is currently anxious deceleration driving behavior.
Domatic angle, θ is gathered in the step 1, when domatic angle, θ=0, automobile is determined and is currently driven for plane road conditions
Behavior.
As the real-time speed v that step 3 collectshFor low speed when, and real time acceleration ahChange frequency be more than change frequency
Rate threshold value, acceleration ahChange peak value when being more than change peak threshold, determine automobile currently to jolt road conditions driving behavior.
As the real time acceleration a that step 3 collectshDuring more than 1 acceleration of gravity, determine that automobile drives row for collision
For.
In step 3, the correction data is recorded as at least three correction data, chooses successively same in each correction data
Gear section and the average acceleration in same rotating speed sectionContrasted, the correction data of numerical approximation is judged as identical traveling
The correction data of state, then contrast the quantity of the correction data of identical transport condition, the correction data number of identical transport condition
The correction data of the most transport condition for automobile in the unloaded state of amount, i.e. Light Condition correction data；
Extract the average acceleration of unloaded state vs' data in same gear section and same rotating speed sectionAnd load
Average acceleration in state vs' dataObtain duty ratio r.
Another object of the present invention is to provide a kind of drive automatically behavior judgment means, the driving behavior judges dress
Put including：
Acquisition module, for being connected with car OBD interface, gather running car data, that is, gather automobile level road,
Running car data under state of giving it the gun；
Computing module, receive the data gathered of acquisition module, and calculated according to the data gathered, acquisition pair
Than data, contrast matrix is established；
Judge module, it is connected respectively with acquisition module and computing module, the automobile reality collected for receiving acquisition module
When status information, with computing module in contrast matrix contrasted, judge driving behavior.
The driving behavior judgment means also include：
Signal transmission module, it is connected with judge module, the bad steering behavioural information sent for receiving judge module, and
Bad steering information is sent to Surveillance center；
Surveillance center, for the bad steering behavior of reception signal transport module, and recorded；
D GPS locating module, for positioning and detecting the traveling rail mark of automobile.
The technique effect of the present invention is as follows：The adaptive driving behavior analysis method of the present invention, in vehicle traveling process
In, constantly gather running car data, such as acceleration a, speed v and engine rotating speed Ω etc., including various traveling shapes
State, the benchmark of driver driving behavior judgement can be sufficiently established, the data of collection are more, and the benchmark more can react driver just
Normal driving behavior, it also can just contrast the bad steering behavior of driver；
In step 1, each automobile can resurvey data after being changed into mobile status from halted state, and automobile is from stopping
To mobile status, it is most likely that the change of loading capacity occurs, such as empty wagon stopping, starting after load-carrying, the different load-carrying of automobile
State also can be different for the judgement of driving behavior, therefore after stopping is changed into mobile status, resurveys data so that this
Method can adapt to the different load condition of automobile.
The data gathered in addition are the data of state of being given it the gun on level road, are given it the gun shape in level road
Under state, whole transmission system processing is fully connected state, can show most real gearratio, can calculate most accurate
Gearratio.Under level road, most real acceleration can be also shown.Therefore can be collected under level road very accurate
Really rational car steering information, it is easy to step 2 to calculate and obtains accurate correction data.
Gear section is divided by gearratio in step 2, while also delimit rotating speed section, is contrasted the judgement of data
Matrix, it is corresponding go out acceleration a of each gear section in different rotating speeds section value, compatible well stepless speed-change automobile
With step speed change automobile, acceleration a is had different values in each gear section, rotating speed section, stepless change can be reacted
A reference value of the speed automobile under free position, the compatible well judgment standard of stepless speed-change automobile and step speed change automobile；
The real-time rotating speed Ω of step 3 collection real time accelerationh, real time acceleration ah, real-time speed vh, pass through real-time gearratio
δhBefore matching in judgment matrix, contrasted, effectively increase judgement precision.
Brief description of the drawings
Fig. 1 is automobile force analysis schematic diagram on the slope；
Fig. 2 is driving behavior judgment means structural representation of the present invention.
In figure, 1 is automobile, and 2 be traveling plane, and 3 be horizontal plane.
Embodiment
In order to make the purpose , technical scheme and advantage of the present invention be clearer, it is right below in conjunction with drawings and Examples
The present invention is further elaborated.It should be appreciated that the specific embodiments described herein are merely illustrative of the present invention, and
It is not used in the restriction present invention.
More detailed description is done to the present invention by taking stepless automatic transmission car as an example in the present embodiment.
Embodiment 1
As shown in Fig. 2 the present embodiment judges car steering behavior, driving behavior by car steering behavior judgment means
Judgment means include：
Acquisition module, for being connected with car OBD interface, gather running car data, that is, gather automobile level road,
The rotating speed Ω of acceleration a, speed v, engine under state of giving it the gun, gas pedal depth L, brake pedal depth K, direction
Disk angle；
Computing module, receive the data gathered of acquisition module, and calculated according to the data gathered, acquisition pair
Than data, contrast matrix is established.
Judge module, it is connected respectively with acquisition module and computing module, the automobile reality collected for receiving acquisition module
When status information, with computing module in contrast matrix contrasted, judge driving behavior.
Signal transmission module, it is connected with judge module, the bad steering behavioural information sent for receiving judge module, and
Bad steering information is sent to Surveillance center；
Surveillance center, for the bad steering behavior of reception signal transport module, and recorded.
D GPS locating module, for positioning and detecting the driving trace of automobile.
The invention provides a kind of adaptive driving behavior analysis method, its step are as follows：
Step 1: data acquisition, automobile gathers motor vehicle after halted state is changed into mobile status, with Fixed Time Interval
Data, the data gathered are acceleration a, speed ν and engine of the automobile in the case where level road gives it the gun state
Rotating speed Ω, and the data to being gathered are filtered, the obvious irrational data of filtration fraction；
Wherein, acceleration a data acquiring frequency is 1~50 milli second/time, and the acceleration of continuous acquisition n times, N is more than 1
Natural number, take the average value of the n times acceleration, obtain acceleration a.Prioritizing selection frequency acquisition is 10 millis in the present embodiment
Second/time, N=50.The frequency acquisition of other data be 10 × 50=500 milli second/time, i.e., 0.5 second/time.
Level road is the road surface that angle of inclination is between ± 3 degree.
Step 2: data processing, obtains correction data, collects every group of speed ν, engine speed according to step 1 first
Ω, calculate gearratioGearratio δ from big to small or from small to the shelves for being in turn divided into m equal length
Position section, takes m=5, rotating speed Ω is divided into n rotating speed section, takes n=6, and the acceleration a collected according to step 1 is determined
Average acceleration of the automobile in each gear section, each rotating speed sectionThen the average acceleration in each gear section is taken
Maximum, obtain peak acceleration amax；
Step 3: data comparison, the real-time rotating speed Ω of automobile is gatheredh, real time acceleration ah, real-time speed vh, according to transmission
ThanCalculate real-time gearratio δh, by real-time gearratio δhCorresponding gear section in step 2 is matched to,
The real-time rotating speed Ω of collectionh, real time acceleration ah, real-time speed vhThe correction data obtained with step 2 is contrasted, and determines vapour
Whether the driving behavior of car is anxious acceleration driving behavior, anxious deceleration driving behavior, collision driving behavior.
The adaptive driving behavior analysis method of the present invention, in vehicle traveling process, constantly gather running car number
According to, such as acceleration a, speed v and engine rotating speed Ω etc., including various transport conditions, it can sufficiently establish driver
The benchmark that driving behavior judges, the data of collection are more, and the benchmark gets over the normal driving behavior that can react driver, also just can be right
Than the bad steering behavior for going out driver；
In step 1, each automobile can resurvey data after being changed into mobile status from halted state, and automobile is from stopping
To mobile status, it is most likely that the change of loading capacity occurs, such as empty wagon stopping, starting after load-carrying, the different load-carrying of automobile
State also can be different for the judgement of driving behavior, therefore after stopping is changed into mobile status, resurveys data so that this
Method can adapt to the different load condition of automobile.
The data gathered in addition are the data of state of being given it the gun on level road, are given it the gun shape in level road
Under state, whole transmission system processing is fully connected state, can show most real gearratio, can calculate most accurate
Gearratio.Under level road, most real acceleration can be also shown.Therefore can be collected under level road very accurate
Really rational car steering information, it is easy to step 2 to calculate and obtains accurate correction data.
Gear section is divided by gearratio in step 2, while also delimit rotating speed section, is contrasted the judgement of data
Matrix, it is corresponding go out acceleration a of each gear section in different rotating speeds section value, compatible well stepless speed-change automobile
With step speed change automobile, acceleration a is had different values in each gear section, rotating speed section, stepless change can be reacted
A reference value of the speed automobile under free position, the compatible well judgment standard of stepless speed-change automobile and step speed change automobile.
The real-time rotating speed Ω of step 3 collection real time accelerationh, real time acceleration ah, real-time speed vh, pass through real-time gearratio
δhBefore matching in judgment matrix, contrasted, effectively increase judgement precision.The adaptive driving behavior point of the present invention
Analysis method, in vehicle traveling process, constantly gather running car data, such as turn of acceleration a, speed v and engine
Fast Ω etc., including various transport conditions, the benchmark of driver driving behavior judgement can be sufficiently established, the data of collection are more,
The benchmark gets over the normal driving behavior that can react driver, also can just contrast the bad steering behavior of driver.
Hand gear, due to the stepped distribution of connection gearratio of hand gear, can lead to compared with automatic stepless speed change
The data for crossing collection calculate the gearratio of each gear, therefore follow gear in gear interval division and set division.Manually
Speed change and step speed change automobile very convenient can find out the gearratio of each gear, be easy to separate suitable gear section.
Collision judgment：
Judge module contrasts real time acceleration, as the real time acceleration a gathered in real timehDuring more than 1 g, it is judged to colliding,
G is gravity acceleration value.
Rotating speed judges：
In step 3, as the real-time rotating speed Ω collectedhMore than or equal to rotary speed threshold value ΩmWhen, judge module determines automobile
It is current to accelerate driving behavior, rotary speed threshold value Ω to be anxiousmFor 3000~4000 revolutions per seconds.
It is anxious to accelerate to judge：
In step 3, real time acceleration ahWith the acceleration a in same gear section in table 2max, acceleration factor λ1Contrast,
As real time acceleration ahMore than acceleration factor λ1With acceleration amaxProduct, determine automobile and currently accelerate driving behavior to be anxious；Institute
State acceleration factor λ1For 0.5≤λ1＜ 1, in the present embodiment, preferentially select λ1=0.7.
Anxious slow down judges
In step 3, real time acceleration ahWith the peak acceleration a in same gear sectionmax, acceleration factor λ2Contrast, when
Real time acceleration ahMore than acceleration factor λ1With acceleration amaxProduct, it is currently anxious deceleration driving behavior to determine automobile, described
Acceleration system λ2For 1≤λ2＜ 4.
Gas pedal depth judges：
Correction data also includes gas pedal depth, sets the gas pedal depth L for judging suddenly to accelerate, step 3 is also
Gather real-time gas pedal depth Lh, work as LhDuring ＞ L, determine automobile and currently accelerate driving behavior to be anxious.
Brake pedal depth judges：
Correction data also includes brake pedal depth, sets the brake pedal depth K for judging suddenly to slow down, the step
Three also gather real-time brake pedal depth Kh, work as KhDuring ＞ K, it is currently anxious deceleration driving behavior to determine automobile.
Zig zag judges：
Step 2 includes calculating the acceleration a obtained along vehicle traveling directionm, the acceleration amFor two adjacent speed
The difference of degree and the ratio of interval time,
v1、v2For the adjacent real-time speed of collection, Δ t is the acquisition time interval of adjacent speed.
During turning, the acceleration a measured by sensor is equal to centripetal acceleration aToWith along vehicle traveling direction acceleration am
Vector, calculate centripetal accelerationSubstitution formula 1 can try to achieve aTo。
In step 3, centripetal acceleration aToWith the peak acceleration a in same gear sectionmax, acceleration factor λ3Contrast,
Work as aTo＞ λ3amaxWhen, 1 ＜ λ3＜ 4, it is currently zig zag driving behavior to determine automobile, in the present embodiment, preferentially selects λ3=2.
In addition, step 1 also gathers steering wheel rotational angular velocity, when speed is more than 50km/h, and steering wheel angle per second is big
When 30 °, it is judged to taking a sudden turn.
Road conditions of jolting transport condition judges：
As the real-time speed v that step 3 collectshFor low speed when, and real time acceleration ahChange frequency be more than change frequency
Rate threshold value, acceleration ahChange peak value when being more than change peak threshold, determine automobile currently to jolt road conditions driving behavior.
Duty ratio calculates：
The correction data is recorded as at least three correction data, and the present embodiment preferentially records 10 groups
The average acceleration in same gear section and same rotating speed section in each correction data is chosen successivelyCarry out pair
Than the correction data of numerical approximation is judged as the correction data of identical transport condition, then contrasts the contrast of identical transport condition
The quantity of data, the contrast of the most transport condition for automobile in the unloaded state of the correction data quantity of identical transport condition
Data, i.e. Light Condition correction data；
Extract the average acceleration of unloaded state vs' data in same gear section and same rotating speed sectionAnd load
Average acceleration in state vs' data
In the unloaded state
In the loaded state
With gear area with rotating speed section F2=F1
Duty ratio can be obtained
Surveillance center receives and counted the data that the delivery module of driving behavior judgment means is sent back in the present embodiment,
For driver, by the statistical analysis to driving behavior, the driving habit of driver can be clearly known.
Hand gear establishes the data in each gear section and rotating speed section the matrix in block form of one 5 × 7,WhereinδzxyFor the mode transmission in x-th of rotating speed section and y-th of gear section
Than axyFor the acceleration magnitude in x-th of rotating speed section and y-th of gear section, 1≤x≤5,1≤y≤7.
One data model for being easy to compare can be established by matrix model, speed is compared in quickening, hand gear with it is stepless
Fluid drive is identical in driving behavior decision method.
Above-mentioned matrix model is as follows：
By taking stepless speed-change automobile as an example, gearratio δ points of collection are five gear sections, such as δ ≈ 20~100, are produced
It is the first gear section δ to gear section1=100~84, second gear section δ2=84~68, third gear section δ3=68
~52, fourth speed position section δ4=52~36, fifth speed position section δ5=36~20,
For manual transmission cars or automatic transmission transmission cars, gearratio is in approximate stepped change, each ladder
Gearratio be approximately equal to fixed value；
By taking 5 grades of Audi's A6 automatic gearshift automobiles as an example, gearratio δ is divided into the first gear section δ by gear1≈ 100, second gear
Position section δ2≈ 60, third gear section δ3≈ 40, fourth speed position section δ4≈ 30, fifth speed position section δ5≈ 20,
Rotating speed Ω is divided into n rotating speed section, n=6, the length in rotating speed section is 500, switchs to the with 1000~1500
One section, next section are 1500~2000 turns, Ω1To Ω6Represent the first rotating speed section to the 6th rotating speed area successively respectively
Between.
The acceleration a collected according to step 1 determines that automobile adds in each gear section, the average of each rotating speed section
SpeedObtain following data:
Table 1
Take the average acceleration in each gear sectionMaximum, obtain peak acceleration amax；
Peak acceleration amaxIt is as follows:
| amax | |
| δ1 | 90 |
| δ2 | 76 |
| δ3 | 65 |
| δ4 | 56 |
| δ5 | 49 |
Table 2
Embodiment 2
Compared with Example 1, the step of the present embodiment two also includes calculating the domatic and angle theta of horizontal plane.
When automobile 1 stops or travels on horizontal plane 3, mounting plane of the acceleration transducer on automobile 1 is put down on request
Row in horizontal plane 3, therefore the mounting plane of acceleration transducer parallel to the automobile 1 it is any it is domatic on traveling plane 2,
So actually measured sensor actual measureed value of acceleration of acceleration transducerWith for vehicle actual measureed value of accelerationIt is equal, i.e.,
Domatic mechanical analysis to automobile 1 as shown in Figure 1, it is θ's that automobile 1, which is travelled on the domatic angle of horizontal plane 3,
Travel in plane 2.Automobile three-dimensional cartesian coordinate system is established, its x, plane where y-axis is parallel to domatic, and z-axis is perpendicular to automobile 1
Travel plane 2.Due to acceleration transducer mounting plane parallel to the automobile 1 it is any it is domatic on traveling plane 2, because
The three-dimensional vehicle coordinate system of this automobile 1 and the three-dimensional cartesian coordinate system of acceleration transducer are the same coordinate system.In the present embodiment
In, acceleration transducer uses gamut, i.e. x, and the axle of y, z tri- all uses.
The sensor actual measureed value of acceleration of acceleration transducerIt can observe obtaining, and the vehicle actual measureed value of accelerationAttach most importance to
Power accelerationWith the reality output acceleration of automobile 1Vector, i.e.,
It is π-θ that gravity, which accelerates with domatic normal angle, vehicle actual measureed value of accelerationCorresponding triangle angle is π+θ.
And cos π+θ=- sin θ.
It can wherein be obtained by the cosine formula of triangle by the force analysis of automobile 1：
In addition, side-friction when either motor vehicle engine exports acceleration, brake acceleration and turn, after all
The output acceleration (including traction acceleration and braking acceleration etc.) of motor vehicle all derives from the frictional force of wheel, and the friction
The plane that power is always existed in where automobile 1, therefore can draw, vehicle actual measureed value of accelerationComponent and gravity in z-axis
AccelerationComponent in z-axis is equal, therefore is had：If vehicle actual measureed value of accelerationProjection value in z-axis
For z1, it is the sensor actual measureed value of acceleration acceleration that measurement obtainsThe z-axis value that Observable obtains, and acceleration of gravityIn z
Projection value on axle isThereforeSurveyed so as to obtain domatic angle, θ with vehicle
Acceleration gravity acceleration valueWith z-axis projection value z1Relation be：
Obtain θ,
θ is the angle of the track of automobile 1 and horizontal plane, is plane road conditions as θ=0.
θ ≠ 0, automobile 1 are travelled in upward slope or descending road conditions.
The reality output acceleration magnitude of automobile 1 can simply and be accurately obtained by above-mentioned formula 1 and formula 2The a askedm。
Work as amDuring ＞ a, automobile 1 accelerates descending or slowed down to go up a slope, am＜ a are then gone up a slope for acceleration or deceleration descending.
Work as amDuring ＞ a, gas pedal depth, and a are collectedh＞ 0.7amax, it is determined as anxious acceleration descending；amDuring ＞ a, adopt
Collect brake pedal depth, ah＞ 0.7amax, it is determined as anxious deceleration descending；amDuring ＜ a, gas pedal depth, and a are collectedh＞
0.5amax, it is determined as that anxious acceleration is gone up a slope；amDuring ＜ a, gas pedal depth, and a are collectedh＞ 0.5amax, it is determined as under anxious slow down
Slope.
Ascents and descents are road conditions important and dangerous in vehicle traveling process, for ascents and descents urgency accelerate,
The judgement suddenly slowed down is particularly important.The present embodiment can quickly understand that climb and fall is according to car steering information it is anxious accelerate and
Anxious deceleration behavior.
Claims (7)
1. a kind of drive automatically behavior analysis method, it is characterised in that comprise the following steps：
Step 1: gathered data, automobile after halted state is changed into mobile status, collection automobile in level road, give it the gun
Acceleration alpha, speed ν and engine speed Ω under state；
Step 2: obtaining correction data, every group of speed ν, engine speed Ω are collected according to step 1 first, it is every to obtain automobile
Gearratio δ, is then divided into m gear section, rotating speed Ω is divided into n rotating speed section, according to step by the gearratio δ of group
The one acceleration a collected determines average acceleration of the automobile in each gear section, each rotating speed sectionThen take each
The average acceleration in gear sectionMaximum, obtain peak acceleration amax；
Step 3: data comparison, the real-time rotating speed Ω of automobile is gatheredh, real time acceleration ah, real-time speed vh, obtain transmission in real time
Compare δh, by real-time gearratio δhCorresponding gear section in step 2 is matched to, the real-time rotating speed Ω of collectionh, real time acceleration
ah, real-time speed vhThe correction data obtained with step 2 is contrasted, and determines that the driving behavior of automobile accelerates to drive row to be anxious
For, anxious deceleration driving behavior, driving behavior of taking a sudden turn, road conditions of jolting driving behavior or collision driving behavior.
2. a kind of drive automatically behavior analysis method as claimed in claim 1, it is characterised in that in step 3, when adopting
The real-time rotating speed Ω collectedhMore than or equal to rotary speed threshold value ΩmWhen, determine automobile and currently accelerate driving behavior, rotary speed threshold value to be anxious
ΩmFor 3000~4000 revolutions per seconds.
A kind of 3. drive automatically behavior analysis method as claimed in claim 1 or 2, it is characterised in that in the step 3,
Real time acceleration ahWith the acceleration a in same gear sectionmax, acceleration factor λ1Contrast, as real time acceleration ahMore than acceleration
Spend coefficient lambda1With acceleration amaxProduct, determine automobile and currently accelerate driving behavior to be anxious；The acceleration factor λ1For 0.5≤λ1
＜ 1.
A kind of 4. drive automatically behavior analysis method as claimed in claim 1 or 2, it is characterised in that in the step 3,
Real time acceleration ahWith the peak acceleration a in same gear sectionmax, acceleration factor λ2Contrast, as real time acceleration ahIt is more than
Acceleration factor λ2With acceleration amaxProduct, determine that automobile is currently anxious deceleration driving behavior, the acceleration system λ2For 1≤λ2
＜ 4.
A kind of 5. drive automatically behavior analysis method as claimed in claim 1 or 2, it is characterised in that in step 3, collection
Real-time centripetal acceleration aToWith the peak acceleration a in same gear sectionmax, acceleration factor λ3Contrast, when in real time to cadion-acceleration
Spend aToMore than acceleration factor λ3With acceleration amaxProduct, determine automobile currently for zig zag driving behavior, the acceleration system
λ3For 1 ＜ λ3＜ 4.
6. a kind of drive automatically behavior analysis method as claimed in claim 1, it is characterised in that collected when step 3
Real-time speed vhFor low speed when, and real time acceleration ahChange frequency be more than change frequency threshold value, acceleration ahChange peak value
During more than change peak threshold, it is currently road conditions driving behavior of jolting to determine automobile.
7. a kind of drive automatically behavior analysis method as claimed in claim 2, it is characterised in that collected when step 3
Real time acceleration ahDuring more than 1 acceleration of gravity, determine automobile for collision driving behavior.
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| CN105679125A (en) * | 2016-04-19 | 2016-06-15 | 奇瑞汽车股份有限公司 | Vehicle-mounted driving skill evaluating and automatic teaching system |
| CN106204804A (en) * | 2016-07-08 | 2016-12-07 | 南京人人保网络技术有限公司 | A kind of monitoring method and device |
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