CN110533203A - Processing method, device, equipment and the medium of driving behavior - Google Patents
Processing method, device, equipment and the medium of driving behavior Download PDFInfo
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- CN110533203A CN110533203A CN201910817789.2A CN201910817789A CN110533203A CN 110533203 A CN110533203 A CN 110533203A CN 201910817789 A CN201910817789 A CN 201910817789A CN 110533203 A CN110533203 A CN 110533203A
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- G—PHYSICS
- G01—MEASURING; TESTING
- G01D—MEASURING NOT SPECIALLY ADAPTED FOR A SPECIFIC VARIABLE; ARRANGEMENTS FOR MEASURING TWO OR MORE VARIABLES NOT COVERED IN A SINGLE OTHER SUBCLASS; TARIFF METERING APPARATUS; MEASURING OR TESTING NOT OTHERWISE PROVIDED FOR
- G01D21/00—Measuring or testing not otherwise provided for
- G01D21/02—Measuring two or more variables by means not covered by a single other subclass
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06Q—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
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- G06Q—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
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- G06Q10/063—Operations research, analysis or management
- G06Q10/0631—Resource planning, allocation, distributing or scheduling for enterprises or organisations
- G06Q10/06311—Scheduling, planning or task assignment for a person or group
- G06Q10/063114—Status monitoring or status determination for a person or group
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- G—PHYSICS
- G07—CHECKING-DEVICES
- G07C—TIME OR ATTENDANCE REGISTERS; REGISTERING OR INDICATING THE WORKING OF MACHINES; GENERATING RANDOM NUMBERS; VOTING OR LOTTERY APPARATUS; ARRANGEMENTS, SYSTEMS OR APPARATUS FOR CHECKING NOT PROVIDED FOR ELSEWHERE
- G07C5/00—Registering or indicating the working of vehicles
- G07C5/08—Registering or indicating performance data other than driving, working, idle, or waiting time, with or without registering driving, working, idle or waiting time
- G07C5/0808—Diagnosing performance data
Abstract
The embodiment of the invention discloses a kind of processing method of driving behavior, device, equipment and media.The described method includes: the vehicle hardware information that the car-mounted terminal for obtaining vehicle to be monitored is sent；The associated driving behavior status information of the vehicle to be monitored is determined according to the vehicle hardware information；The driving rank of driver is determined according to the driving behavior status information.Utilize the scheme in the present embodiment, the driving behavior state of vehicle to be monitored can be directed to according to driver, dynamic adjustment is carried out to the driving rank of driver, both can guarantee the rank of driver determine more meet the true driving behavior of driver, operative constraint can be carried out to the driving behavior of driver by determining driving rank simultaneously, it supervises driver that can carry out vehicle drive according to the normal driving behavior of regulation, driver is avoided to drive a car in such a way that bad steering is accustomed to or sabotages.
Description
Technical field
The present embodiments relate to technical field of vehicle more particularly to a kind of processing methods of driving behavior, device, equipment
And medium.
Background technique
With trip requirements increasingly diversification, net about vehicle is just constantly dissolved into people's lives, becomes people's trip
Essential travel modal.
Currently, the operation mode of net about vehicle includes C2C mode and B2C mode.Under C2C mode, vehicle is driver oneself
Private property, driver carrys out order just with platform；Under B2C mode, driver is to be recruited, and vehicle is the private of company
There are assets.Exactly because in this way, for B2C mode, driver during driving, due to personal bad steering habit or
Person has damage and to vehicle in order to fight for the time even because being discontented with to company, or since other factors can be generated to vehicle
The energy has the bad steering behavior of waste.Therefore, to the driving behavior of driver carry out real time monitoring be very it is necessary to.
Summary of the invention
Processing method, device, equipment and the medium of a kind of driving behavior are provided in the embodiment of the present invention, to realize to department
The real-time detection of machine driving behavior identifies, and dynamic adjusts the driving rank of driver.
In a first aspect, providing a kind of processing method of driving behavior in the embodiment of the present invention, comprising:
Obtain the vehicle hardware information that the car-mounted terminal of vehicle to be monitored is sent；
The associated driving behavior status information of the vehicle to be monitored is determined according to the vehicle hardware information；
According to the driving behavior status information, the driving rank of driver is determined.
Second aspect additionally provides a kind of processing unit of driving behavior in the embodiment of the present invention, comprising:
Hardware information obtains module, the vehicle hardware information that the car-mounted terminal for obtaining vehicle to be monitored is sent；
Status information determining module, for determining the associated driving of vehicle to be monitored according to the vehicle hardware information
Behavior state information；
Rank determination module is driven, for determining the driving rank of driver according to the driving behavior status information.
The third aspect additionally provides a kind of electronic equipment in the embodiment of the present invention, comprising:
One or more processors；
Storage device, for storing one or more programs；
One or more of programs are executed by one or more of processors, so that one or more of processors
Realize the processing method of the driving behavior as provided in any embodiment of that present invention.
Fourth aspect additionally provides a kind of computer readable storage medium in the embodiment of the present invention, is stored thereon with calculating
Machine program realizes the processing method of the driving behavior as provided in any embodiment of that present invention when the program is executed by processor.
It provides a kind of processing scheme of driving behavior in the embodiment of the present invention, obtains by carrying on vehicle to be monitored
The vehicle hardware information of vehicle to be monitored that car-mounted terminal is acquired and reported, and determined and driven according to the vehicle hardware information of acquisition
Person is directed to the driving behavior status information of vehicle to be monitored, then according to obtained driving condition information to the driving grade of driver
It is not determined.Using above-mentioned technical proposal, the driving behavior state of vehicle to be monitored can be directed to according to driver, to driving
The driving rank of person carries out dynamic adjustment, both can guarantee the rank of driver determine more meet the true driving behavior of driver,
Operative constraint can be carried out to the driving behavior of driver by determining driving rank simultaneously, supervise driver can be according to rule
Fixed normal driving behavior carries out vehicle drive, and driver is avoided to carry out in such a way that bad steering is accustomed to or sabotages
Driving.
Foregoing invention content is only the general introduction of technical solution of the present invention, in order to better understand technology hand of the invention
Section, and can be implemented in accordance with the contents of the specification, and in order to allow above and other objects of the present invention, feature and advantage energy
It is enough clearer and more comprehensible, the followings are specific embodiments of the present invention.
Detailed description of the invention
By reading a detailed description of non-restrictive embodiments in the light of the attached drawings below, of the invention other
Feature, objects and advantages will become more apparent upon.The drawings are only for the purpose of illustrating a preferred embodiment, and is not considered as pair
Limitation of the invention.And throughout the drawings, the same reference numbers will be used to refer to the same parts.In the accompanying drawings:
Fig. 1 is a kind of flow chart of the processing method of the driving behavior provided in the embodiment of the present invention；
Fig. 2 is the flow chart of the processing method of another driving behavior provided in the embodiment of the present invention；
Fig. 3 is the flow chart of the processing method of another driving behavior provided in the embodiment of the present invention；
Fig. 4 is a kind of structural block diagram of the processing unit of the driving behavior provided in the embodiment of the present invention；
Fig. 5 is the structural block diagram of a kind of electronic equipment provided in the embodiment of the present invention.
Specific embodiment
The present invention is described in further detail with reference to the accompanying drawings and examples.It is understood that this place is retouched
The specific embodiment stated is used only for explaining the present invention rather than limiting the invention.It also should be noted that in order to just
Only the parts related to the present invention are shown in description, attached drawing rather than entire infrastructure.
It should be mentioned that some exemplary embodiments are described as before exemplary embodiment is discussed in greater detail
The processing or method described as flow chart.Although operations (or step) are described as the processing of sequence by flow chart,
Many of these operations can be implemented concurrently, concomitantly or simultaneously.In addition, the sequence of operations can be pacified again
Row.The processing can be terminated when its operations are completed, it is also possible to have the additional step being not included in attached drawing.Institute
Stating processing can correspond to method, function, regulation, subroutine, subprogram etc..
Fig. 1 is a kind of flow chart of the processing method of the driving behavior provided in the embodiment of the present invention.The embodiment of the present invention
It is applicable to carry out driving the situation that rank determines to the driver for driving vehicle.This method can be filled by the processing of driving behavior
It sets to execute, which can realize that the device can be configured at network communication by the way of software and/or hardware
In the electronic equipment of function.Wherein, which can be the background server or service platform of net about vehicle.Such as Fig. 1 institute
Show, the processing method of the driving behavior provided in the embodiment of the present invention, comprising the following steps:
The vehicle hardware information that S110, the car-mounted terminal for obtaining vehicle to be monitored are sent.
In the present embodiment, the car-mounted terminal of automobile, also referred to as car networking can collect the hardware letter of vehicle in real time
Breath, and the hardware information of vehicle is reported.Optionally, during vehicle driving, car-mounted terminal and CAN bus connect
It connects, the data information of each hardware of real-time collecting vehicle is capable of by CAN bus, that is, collects the vehicle hardware information of vehicle.
Meanwhile a car-mounted terminal can be set on each vehicle to be monitored, each car-mounted terminal can be with the present embodiment
Electronic equipment is communicatively coupled.It, can be by the vehicle of collection after car-mounted terminal is collected into the vehicle hardware information of vehicle to be monitored
Hardware information is reported to the electronic equipment with car-mounted terminal communication connection.Electronic equipment can receive to be arranged on vehicle to be monitored
Vehicle hardware information at least one of transmitted by car-mounted terminal.
In the present embodiment, vehicle hardware information refers to driver during driving vehicle to be monitored, for wait supervise
The real-time parameter information of control vehicle each vehicle hardware when being operated.Wherein, vehicle hardware information can to a certain extent
Reflect that driver is for the driving situation of vehicle to be monitored in driving procedure.It in other words, can from vehicle hardware information
Know that driver whether there is undesirable driving habit for vehicle to be monitored in driving procedure, or whether deliberately treats prison
Control vehicle carries out damage bad steering behavior, or with the presence or absence of the bad steering behavior wasted to vehicle energy.
In an optional example, vehicle hardware information include: in accelerator pedal information and brake pedal information at least
One.Accelerator pedal information includes tread-on quantity of the driver for the accelerator pedal (i.e. gas pedal) of vehicle to be monitored.Wherein,
In vehicle operation, driver is by control tread-on quantity, to control air input of engine by air, to control turning for engine
Speed, and then carry out vehicle acceleration.Brake pedal information includes that driver (brakes and steps on for the brake pedal of vehicle to be monitored
Plate) tread-on quantity；Wherein, in vehicle operation, driver slows down to vehicle by control tread-on quantity.Above-mentioned nothing
By being accelerator pedal or brake pedal, normal rule is met to the loss of vehicle when normally trampling.However, for adding
The exception of speed pedal and brake pedal is trampled, for example, continually violent stepping on accelerator pedal or touch on the brake suddenly, it can be to the hard of vehicle
Part causes expendable damage, belongs to bad driving habit or deliberately for it.
In another optional example, vehicle hardware information further include: air-conditioning consumes power information and vehicle window opening imformation
At least one of in.Nowadays, most of vehicle is provided with air conditioning for automobiles, can be realized by air conditioning for automobiles to empty in compartment
Gas is freezed, heated, taken a breath and air cleaning etc..There are some drivers that can hold air conditioning for automobiles very low, or even is open
It is not related to the bad driving habit such as vehicle window when air-conditioning, so as to cause the waste of vehicle energy.
Certainly, other than above-mentioned vehicle hardware information, there are also other vehicle hardware information can also reflect that driver is directed to
The driving behavior of vehicle to be monitored.In another optional example, above-mentioned vehicle hardware information further include: vehicle speed information, shelves
At least one of in position information, the rotation information of steering wheel, the tire pressure of automobile and automobile battery power information.Wherein,
It is travelled if speed is too high or vehicle tire pressure is unstable, certain hidden danger can be caused to vehicle safety；If the shelves of automobile
Position is not right, can damage in the process of moving to automobile gearbox；If the rotational angle of steering wheel is excessive, or even often side
It kills, then steering wheel shaft can be damaged to disk；It, can be right if still travelled in the insufficient situation of automobile battery power
The battery of automobile causes expendable damage.
In a kind of optional way of the present embodiment, the vehicle hardware letter that the car-mounted terminal of vehicle to be monitored is sent is obtained
Breath, specifically includes step A~step B:
Step A, the vehicles identifications of vehicle to be monitored are determined；Each vehicles identifications are associated with a car-mounted terminal.
In the present embodiment, each vehicle to be monitored has the vehicle code ID belonging to it, different vehicles to be monitored
Vehicle code ID it is not identical.Vehicle code ID is denoted as vehicles identifications, can be distinguished by vehicles identifications different to be monitored
Vehicle.Each vehicle connection mark one unique car-mounted terminal of association, guarantees that car-mounted terminal is only capable of collecting vehicle associated with it
The vehicle hardware information of corresponding vehicle to be monitored is identified, and the vehicle to be monitored of other not associated vehicles identifications cannot be collected
Vehicle hardware information.
Step B, the vehicle for obtaining the vehicle to be monitored that the associated car-mounted terminal of vehicles identifications is sent according to the setting period is hard
Part information.
In the present embodiment, setting the period be the present embodiment electronic equipment setting slave car-mounted terminal on obtain it is vehicle-mounted
The time interval for the vehicle hardware information that terminal is collected.In order to avoid driver learns the setting period or is inferred to set the period
Afterwards, avoid obtaining the time point of vehicle hardware information, targeted specifically to carry out undesirable driving behavior.Optionally, the present embodiment
Electronic equipment can be set at random according to cycle set algorithm obtain vehicle hardware information mechanical periodicity calibration curve information, and will
The mechanical periodicity information is sent to car-mounted terminal, to indicate that car-mounted terminal can be according to the period of mechanical periodicity calibration curve information instruction
Collect the vehicle hardware information of vehicle to be monitored.It is using the beneficial effect of aforesaid way: ensures that driver in this way
The setting period can be sought without mark, to inform that driver not have an idea of leaving things to chance, warning drivers will drive according to as defined in meeting
It sails behavior and drives vehicle to be monitored, avoid damaging vehicle.Illustratively, which is to be not fixed ground, i.e., this sets
Fixed cycle can be to be changed at random, for example first setting period is 10min, and second setting period is 5min, third
Setting the period is 1min.
In the present embodiment, the electronic equipment of the present embodiment can according to vehicle to be monitored vehicles identifications with it is to be monitored
The car-mounted terminal carried on vehicle establishes communication connection.Optionally, electronic equipment can be according to vehicles identifications to associated with it
Car-mounted terminal sends information acquisition request.In turn, car-mounted terminal can receive the information acquisition request of electronic equipment transmission, and ring
Should information acquisition request collect each hardware information or each associated vehicle status information on vehicle to be monitored, that is, collect to
Monitor the vehicle hardware information of vehicle.
In the present embodiment, the vehicle hardware information of vehicle to be monitored is collected into according to the period of setting when car-mounted terminal
Afterwards, the vehicle hardware information reporting of collection is given to the electronic equipment of car-mounted terminal communication connection, and electronic equipment can receive
The vehicle hardware information of vehicle to be monitored that car-mounted terminal is collected and sent.
S120, the associated driving behavior status information of vehicle to be monitored is determined according to vehicle hardware information.
In the present embodiment, driving behavior status information refers to driver's driving for vehicle to be monitored in driving procedure
Sail behavior.Although vehicle hardware information can reflect the driver in driving procedure to a certain extent and be directed to vehicle to be monitored
Driving situation, but with not representing all vehicle hardware message reflections driver be directed to vehicle to be monitored bad steering behavior
The caused extent of damage is all the same.In other words, if the actual data information of above-mentioned vehicle hardware information is not identical, instead
The extent of damage caused by the bad steering behavior that the driver mirrored carries out for vehicle to be monitored is not also identical.
Illustratively, if interior driver is directed to the accelerator pedal of vehicle to be monitored or stepping on for brake pedal between unit
The amount of stepping on is bigger, shows that driver is carrying out anxious acceleration or bringing to a halt.Also, the tread-on quantity in the unit time is bigger, anxious to accelerate
Or bring to a halt more violent, bigger to vehicle damage, bad steering behavior at this time is more serious.Similarly, similar air-conditioning consumes function
The specific data value such as rate information, vehicle window opening imformation, vehicle speed information, gear information, rotation information of steering wheel can also reflect not
With the bad steering behavior of degree.
In the present embodiment, driver includes: normal driving behavior to the driving behavior of vehicle to be monitored, slight bad drives
Sail the states such as behavior, general bad steering behavior and serious bad steering behavior.Wherein, vehicle is lost in normal driving behavior
It can be ignored, meet normal vehicle loss；Slight bad steering behavior refers to and may be wasted to the energy of vehicle
Driving behavior, such as when turning on the aircondition open vehicle window behavior；General bad steering behavior refers to long-term appearance meeting pair
The prejudicial driving behavior of vehicle, such as frequent steering wheel kill or bring to a halt；As long as serious bad steering behavior refers to
Appearance will have the driving behavior seriously damaged, such as the gear misplaced of automobile etc. to vehicle.Correspondingly, believe according to vehicle hardware
Cease the determining associated driving behavior status information of vehicle to be monitored can for normal driving behavior, slight bad steering behavior,
General bad steering behavior or serious bad steering behavior.
S130, foundation driving behavior status information, determine the driving rank of driver.
In the present embodiment, since above-mentioned driving behavior status information is the data obtained according to vehicle hardware information,
And vehicle hardware information is that driver carries out correspondingly driving row for vehicle to be monitored during driving vehicle to be monitored
After operation, each hardware of the feedback of vehicle to be monitored or the data information of vehicle-state, therefore driving behavior status information
The driving situation of driver can be embodied, to can soon know driving in the case where obtaining driving behavior status information
The driving rank of person.Certainly, driver may not keep identical driving behavior, vehicle hardware information to vehicle to be monitored
It will be different, correspondingly, the driving behavior status information of driver can change, and then the driving rank of driver also can
Dynamic adjustment is carried out with the variation of driving behavior status information.
On the basis of the above embodiments, optionally, the processing method of the driving behavior in the embodiment of the present invention further include:
According to the driving rank of driver, the matched driving task of driving rank of driver is issued, to driver so that driver holds
Row driving task.It can be that different drivers recommends have different difficulties according to the driving rank of driver using aforesaid way
The driving task of degree, for example to drive the high preferable driving task of user's distribution ratio of rank, driver is promoted to drive to be promoted
It sails rank and goes to give up bad driving habit.
It provides a kind of processing scheme of driving behavior in the embodiment of the present invention, obtains by carrying on vehicle to be monitored
The vehicle hardware information of vehicle to be monitored that car-mounted terminal is acquired and reported, and determined and driven according to the vehicle hardware information of acquisition
Person is directed to the driving behavior status information of vehicle to be monitored, then according to obtained driving condition information to the driving grade of driver
It is not determined.Using above-mentioned technical proposal, the driving behavior state of vehicle to be monitored can be directed to according to driver, to driving
The driving rank of person carries out dynamic adjustment, both can guarantee the rank of driver determine more meet the true driving behavior of driver,
Operative constraint can be carried out to the driving behavior of driver by determining driving rank simultaneously, supervise driver can be according to rule
Fixed normal driving behavior carries out vehicle drive, and driver is avoided to carry out in such a way that bad steering is accustomed to or sabotages
Driving.
Fig. 2 is the flow chart of the processing method of another driving behavior provided in the embodiment of the present invention, and the present invention is implemented
Example optimize on the basis of the above embodiments, the embodiment of the present invention can with it is each in said one or multiple embodiments
Optinal plan combines.As shown in Fig. 2, the processing method of the driving behavior in the embodiment of the present invention, comprising the following steps:
The vehicle hardware information that S210, the car-mounted terminal for obtaining vehicle to be monitored are sent.
S220, the vehicle hardware information is converted into corresponding hardware characteristics information according to preset information transfer algorithm.
In the present embodiment, vehicle hardware information is the data collected by car-mounted terminal according to the setting period, these data
It is the data from hardware such as accelerator pedal, brake pedal, air conditioning for automobiles, vehicle window, speed, gear, steering wheels.Due to these numbers
According to source it is not identical, the unit of each hardware information and disunity are trained so as to cause these data are not available
Model.For this purpose, when each hardware data of collection is reported to electronic equipment by car-mounted terminal, and electronic equipment receives these vehicles
, can be according to preset information transfer algorithm according to certain conversion regime after hardware information, the receipts that car-mounted terminal is reported
The vehicle hardware information for combining in different hardware is converted to unified hardware characteristics parameter value, and is denoted as hardware characteristics information.One
In a optional example, any vehicle hardware information can be converted to corresponding hardware characteristics letter by preset information transfer algorithm
Breath, so that identical vehicle hardware information is converted to unique hardware characteristics information, the hardware characteristics information being converted in this way
It can be used directly to training pattern or the input parameter as model.
S230, by corresponding hardware characteristics information input to driving behavior identification model trained in advance, obtain and drive row
For the driving behavior status information of identification model output；Wherein, driving behavior status information refers to driver in driving procedure
For the driving behavior of vehicle to be monitored.
In the present embodiment, driving behavior identification model can be used in coming from according to the hardware characteristics information of vehicle to be monitored
Dynamic estimation driver is directed to the driving behavior of vehicle to be monitored in driving procedure.When electronic equipment determines the hard of vehicle to be monitored
, can be using determining hardware characteristics information as the input parameter of driving behavior identification model after part characteristic information, and then pass through
Driving behavior identification model exports driving behavior status information, that is, can determine driver in driving procedure for vehicle to be monitored
Driving behavior.
In the present embodiment, if driving behavior identification model is obtained by two disaggregated model training, driving behavior
Status information can be bad steering behavior or non-bad steering behavior.If driving behavior identification model is by mould of more classifying
Type training obtains, and driving behavior status information can be divided into the driving behavior of multiple and different ranks, such as driving behavior state letter
Breath can be in normal driving behavior, slight bad steering behavior, general bad steering behavior and serious bad steering behavior
A status information.
In a kind of optional way of the present embodiment, the building of the driving behavior identification model provided in the embodiment of the present invention
Operation specifically includes following steps B1~step B3:
Step B1, the history vehicle hardware information of car-mounted terminal acquisition is obtained, and according to preset information transfer algorithm, it will
History vehicle hardware information is converted to corresponding history hardware characteristics information.
In the present embodiment, the history vehicle hardware information of car-mounted terminal acquisition is also to be collected in different vehicles to be monitored
Different hardware data, be equally also required to carry out unification with aforementioned.Electronic equipment can be pressed according to preset information transfer algorithm
According to certain conversion regime, history vehicle hardware information that is that car-mounted terminal history is reported and being collected in different hardware, conversion
For unified history hardware characteristics parameter value, and it is denoted as history hardware characteristics information.Optionally, when electronic equipment receives vehicle-mounted end
When holding the history vehicle hardware information for reporting collection to electronic equipment, history vehicle hardware information preservation that electronic equipment receives
In local, and create the history vehicle hardware information database of each vehicle to be monitored.
Step B2, using history hardware characteristics information as sample characteristics information, and determine that sample characteristics information is corresponding
Sample label；Sample label is for indicating the corresponding driving behavior state of sample.
In the present embodiment, after obtaining multiple history hardware characteristics information, each history that can be will acquire is hard
Part characteristic information can determine the corresponding sample label of sample characteristics information as a sample characteristics information, i.e., really
The fixed corresponding driving behavior state of the sample.It is different when sample characteristics information is made of multiple history hardware characteristics information
Sample characteristics information can correspond to identical or corresponding different driving behavior state.The corresponding sample label of sample characteristics information can
It is manually labeled with passing through, but is necessary to ensure that driver is in driving process under the sample label and the sample characteristics information of mark
In for vehicle to be monitored practical driving behavior it is consistent.
Step B3, it is based on sample characteristics information and the corresponding sample label of sample characteristics information, it is tree-like to what is constructed in advance
Textural classification model is trained, and obtains driving behavior identification model.
In the present embodiment, for each sample characteristics information, the sample characteristics information and the sample characteristics are based on
The sample label of information forms training sample pair, and the corresponding multiple training samples of multiple sample characteristics information are to generating training sample
Collection, is trained using disaggregated model of the training sample set to the tree constructed in advance, obtains training complete driving row
For identification model.Illustratively, can be used the mode of supervised study to the disaggregated model of the tree constructed in advance into
Row training, the history hardware characteristics information for learning to mark out is (for example, accelerator pedal information, brake pedal information, air-conditioning consume function
The hardware characteristics information such as rate information, vehicle window opening imformation, vehicle speed information, gear information, the rotation information of steering wheel) it is trained
Complete driving behavior identification model.
Illustratively, it is assumed that final classification results are label y, and accelerator pedal state, brake pedal status, air-conditioning are disappeared
The hardware characteristics information such as wasted work rate, vehicle window state, shifting state, speed and steering wheel rotational angle are respectively as feature x1,
x2,x3,x4,x5,x6, x7, x8..., θjIt is the parameter of adjustable each hardware characteristics information, what the present embodiment will train drives
Sailing Activity recognition model can be indicated using calculation formula is simply listed as follows: y1=θ0+θ1x1+θ2x2+θ3x3+θ4x4+θ5x5+
θ6x6+θ7x7+θ8x8+….As long as solving each θjOptimal solution, then pass through these optimal solutions θjIt can predict outgoing label y,
That is final judgement result driving behavior status information is obtained.From above-mentioned it is not difficult to find out that, various bad steering behaviors it
Between relationship be mutual exclusion, so above-mentioned is classification problem more than one.Assuming that final drainage flow is label y, it is hard according to history
The corresponding sample label y of part characteristic information can have k value i.e. y ∈ { 1,2 ... k }, and more classification problems meet multinomial distribution, can
To pass through gradient descent method to θ abovejParametric solution, it is known that final drainage flow as training label, training pattern
Process is to iteratively solve the process of optimal solution, finally saves into driving behavior identification model.It is asked by taking Softmax function as an example below
Solution optimal solution illustrates.
Illustratively, Softmax function can be adapted for the problem of above-mentioned more classification return, the table of Softmax function
Up to formula specifically:Wherein, x(i)Represent the parameter of i-th of hardware characteristics information, θ
It is the matrix of a k (n+1), represents this k all characteristic parameters of classification, the parameter of each classification is one (n+1) dimension
Vector, softmax recurrence is exactly to solve to divide x for the probability of classification j.The cost function of softmax is declined using gradient
Method makes j (θ) minimum: Indicate J
The θ of (θ) to j-th of elementjPartial derivative, each time iteration update θj:This
Sample is it can be concluded that each optimal parameter θj.The probability that softmax function output sample classification is classification j is substituted into again, then
The classification for choosing maximum probability predicts sample as most preferably.In addition, because softmax is a multi-categorizer,
What it was exported is a range and its affiliated probability, therefore probability is highest as finally as a result, such as normal driving
It is highest that the probability of behavior, which is 80%, then the driving behavior status information of final output is determined as normal driving behavior.
In a kind of optional way of the present embodiment, the driving behavior identification model provided in the present embodiment is not to fix
Unchangeably, with the corresponding training sample data of hardware characteristics information be continuously increased or the sample label of training sample data
Variation, training can be updated to driving behavior identification model in real time, so as to be further ensured that driving behavior know
The accuracy of other model.For example, when using driving behavior identification model predicted after, collect driver complaint situation and
Otherwise judgement carries out the driver obtained by driving behavior identification model for the driving behavior of vehicle to be monitored
Validation checking is strictly the history hardware characteristics information of bad steering behavior for those, is saved in history vehicle hardware letter
Database is ceased, uses richer data creation driving behavior identification model again, so that model is with stronger ability to express.
S240, foundation driving behavior status information, determine the driving rank of driver.
A kind of processing scheme of driving behavior is provided in the embodiment of the present invention, using above-mentioned technical proposal, can be based on
Driving behavior identification model determines that driver is directed to the driving behavior status information of vehicle to be monitored, and then is directed to according to driver
The driving behavior state of vehicle to be monitored carries out dynamic adjustment to the driving rank of driver, both can guarantee the rank of driver
Determine and more meet the true driving behavior of driver, at the same by determining driving rank can driving behavior to driver into
Row operative constraint supervises driver that can carry out vehicle drive according to the normal driving behavior of regulation, avoids driver using not
Good driving habit or the mode sabotaged drive a car.
Fig. 3 is the flow chart of the processing method of another driving behavior provided in the embodiment of the present invention, and the present invention is implemented
Example optimize on the basis of the above embodiments, the embodiment of the present invention can with it is each in said one or multiple embodiments
Optinal plan combines.As shown in figure 3, the processing method of the driving behavior in the embodiment of the present invention, comprising the following steps:
The vehicle hardware information that S310, the car-mounted terminal for obtaining vehicle to be monitored are sent.
S320, the associated driving behavior status information of vehicle to be monitored is determined according to vehicle hardware information.
If the driving behavior of S330, driving behavior status information instruction belongs to bad steering behavior, by the driving behavior
Status information is recorded in bad steering behavior list；Wherein, each bad steering behavior list be only associated with one it is to be monitored
Vehicle.
In the present embodiment, when the driver to vehicle to be monitored carries out driving rank and determine, although can be according to driving
Behavior state information is sailed to reflect the driving behavior of driver, but if a current driving behavior status information is only driven
The driving behavior of the person's of sailing a certain moment once in a while, not similar bad steering behavior at other times, then undoubtedly can be to driving
The driving rank for the person of sailing determines existing deviation, and some driving behavior status information is also unable to fully embody driver once in a while
Driving behavior in certain time period.For this purpose, belonging to bad steering in the driving behavior for determining that driving behavior status information indicates
Determining driving behavior status information can be first recorded in bad steering behavior list by behavior, in this case just bad to drive
Sail the driving behavior status information that multiple time points will be saved bit by bit in behavior list.
The quantity of the driving behavior status information recorded in S340, foundation bad steering behavior list, determines driver
Driving rank.
In the present embodiment, when it needs to be determined that driver driving rank when, can from driver drive vehicle to be monitored
The driving behavior status information at multiple time points within some period is obtained in associated bad steering behavior list.
If the quantity of bad steering behavior during this period of time is relatively more, for example the quantity of bad steering behavior is higher than preset threshold
Quantity, then it is assumed that driver is often directed to vehicle to be monitored and carries out bad steering, needs to reduce the driving rank of driver；If
The small number of bad steering behavior during this period of time, only once in a while several times, such as the quantity of bad steering behavior
Lower than pre-set threshold numbers, then it is assumed that driver is not often to carry out bad steering for vehicle to be monitored, it may be possible to not small
The heart or some special circumstances have carried out bad steering, and the bad steering behavior of this quantity will be understood by, be not required at this time
Will the driving rank to driver reduce.Optionally, when the driving rank to driver, which carries out, reduces processing, Ke Yiyi
It is reduced according to the quantity of bad steering behavior.For example, if the quantity of bad steering behavior is more, to the driving rank of driver
Reduction it is more；It is smaller to the reduction of the driving rank of driver if the quantity of bad steering behavior is fewer.
In a kind of optional way of the present embodiment, according to the driving behavior state recorded in bad steering behavior list
The quantity of information determines the driving rank of driver, specifically includes following steps C1~step C2:
Step C1, the driving behavior status information recorded in bad steering behavior list in fixed record period is determined
Quantity, and determine the rank of the bad steering behavior of each driving behavior status information instruction of record.
In the present embodiment, bad steering behavior may have different ranks, for example, bad steering behavior is specifically thin
It is divided into: multiple ranks such as slight bad steering behavior, general bad steering behavior and serious bad steering behavior.Different stage
Damage of the bad steering behavior to vehicle to be monitored it is different, such as what slight bad steering behavior may damage only is vehicle
Energy consumption, and serious bad steering behavior may cause permanent loss to the component of vehicle.For this purpose, determining bad drive
After sailing multiple driving behavior status informations in the fixation record period recorded in behavior list, it is also necessary to determine each driving row
For the rank of the bad steering behavior of status information instruction.
Step C2, it according to the quantity of the driving behavior status information recorded in bad steering behavior list and has recorded
The rank of the bad steering behavior of each driving behavior status information instruction, determines the driving rank of driver.
In the present embodiment, when the quantity for determining the driving behavior status information recorded in bad steering behavior list
When higher than pre-set threshold numbers, the rank according to the bad steering behavior of each driving behavior status information instruction is different stage
Driving behavior status information assign different degradation parameters, then according to each driving behavior status information corresponding degradation ginseng
Several and driving behavior status information the quantity driving rank current to driver reduces.
A kind of processing scheme of driving behavior is provided in the embodiment of the present invention, using above-mentioned technical proposal, can be based on
Driving behavior identification model determines that driver is directed to the driving behavior status information of vehicle to be monitored, and then according to fixed time period
The driver of interior record carries out the driving rank of driver reasonable for the quantity of the bad steering behavior of vehicle to be monitored
Dynamic adjusts, both can guarantee the rank of driver determine more meet the true driving behavior of driver, while being driven by determining
Operative constraint can be carried out to the driving behavior of driver by sailing rank, supervise driver can be according to the normal driving behavior of regulation
Vehicle drive is carried out, driver is avoided to drive a car in such a way that bad steering is accustomed to or sabotages.
Fig. 4 is a kind of structural block diagram of the processing unit of the driving behavior provided in the embodiment of the present invention, which can fit
For carrying out driving the determining situation of rank to the driver for driving vehicle, wherein the device can use software and/or hardware
Mode realize that the device can be configured in the electronic equipment with network communicating function.As shown in figure 4, the present invention is real
The processing unit for applying the driving behavior provided in example includes: that hardware information obtains module 410,420 and of status information determining module
Drive rank determination module 430.Wherein:
Hardware information obtains module 410, the vehicle hardware information that the car-mounted terminal for obtaining vehicle to be monitored is sent；
Status information determining module 420, for determining that the vehicle to be monitored is associated according to the vehicle hardware information
Driving behavior status information；
Rank determination module 430 is driven, for determining the driving grade of driver according to the driving behavior status information
Not.
On the basis of the technical solution of above-described embodiment, optionally, hardware information acquisition module 410 includes:
Vehicles identifications determination unit, for determining the vehicles identifications of vehicle to be monitored；Wherein, each vehicles identifications association one
A car-mounted terminal；
Hardware information acquiring unit, for obtaining what the associated car-mounted terminal of the vehicles identifications was sent according to the setting period
The vehicle hardware information of the vehicle to be monitored.
On the basis of the technical solution of above-described embodiment, optionally, hardware information acquiring unit includes:
Information acquisition request is sent to the associated car-mounted terminal of the vehicles identifications according to the vehicles identifications, to indicate
State the vehicle hardware information that car-mounted terminal collects vehicle to be monitored belonging to car-mounted terminal；
Receive the vehicle hardware information of the vehicle to be monitored that the car-mounted terminal is collected and sent.
On the basis of the technical solution of above-described embodiment, optionally, the vehicle hardware information includes following at least one
: accelerator pedal information, brake pedal information, air-conditioning consumption power information, vehicle window opening imformation, vehicle speed information, gear information,
The rotation information of steering wheel.
On the basis of the technical solution of above-described embodiment, optionally, status information determining module 420 includes:
Hardware information converting unit, for being converted to the vehicle hardware information pair according to preset information transfer algorithm
The hardware characteristics information answered；
Status information determination unit, for by the corresponding hardware characteristics information input to driving behavior trained in advance
Identification model obtains the driving behavior status information of the driving behavior identification model output；Driving behavior status information refers to
Driver is directed to the driving behavior of vehicle to be monitored in driving procedure.
On the basis of the technical solution of above-described embodiment, optionally, described device further includes driving behavior identification model
Construct module 440；The driving behavior identification model building module is specifically used for:
The history vehicle hardware information of car-mounted terminal acquisition is obtained, and according to preset information transfer algorithm, is gone through described
History vehicle hardware information is converted to corresponding history hardware characteristics information；
Using history hardware characteristics information as sample characteristics information, and determine the corresponding sample of the sample characteristics information
Label；The sample label is for indicating the corresponding driving behavior state of sample；
It is tree-like to what is constructed in advance based on the sample characteristics information and the corresponding sample label of the sample characteristics information
Textural classification model is trained, and obtains the driving behavior identification model.
On the basis of the technical solution of above-described embodiment, optionally, driving rank determination module 430 includes:
Bad steering behavior record unit, if belonging to for the driving behavior that the driving behavior status information indicates bad
The driving behavior status information is then recorded in bad steering behavior list by driving behavior；Wherein, each bad steering row
A vehicle to be monitored is only associated with for list；
Level deciding unit is driven, for according to the driving behavior state letter recorded in the bad steering behavior list
The quantity of breath determines the driving rank of driver.
On the basis of the technical solution of above-described embodiment, optionally, driving level deciding unit includes:
Determine the number of the driving behavior status information recorded in the bad steering behavior list in fixed record period
Amount, and determine the rank of the bad steering behavior of each driving behavior status information instruction recorded；
According to the driving behavior status information recorded in the bad steering behavior list quantity and recorded every
The rank of the bad steering behavior of one driving behavior status information instruction, determines the driving rank of driver.
On the basis of the technical solution of above-described embodiment, optionally, described device further include:
Driving task sending module, for the driving rank according to the driver, Xiang Suoshu driver issues described drive
The matched driving task of driving rank for the person of sailing, so that driver executes the driving task.
The processing unit of driving behavior provided in the embodiment of the present invention can be performed in aforementioned present invention any embodiment
The processing method of provided driving behavior has the corresponding function of processing method and beneficial effect for executing the driving behavior,
Detailed process referring to the processing method of driving behavior in previous embodiment relevant operation.
Fig. 5 is the structural schematic diagram of a kind of electronic equipment provided in the embodiment of the present invention.Structure as shown in Figure 5, this hair
The electronic equipment provided in bright embodiment includes: one or more processors 510 and storage device 520；In the electronic equipment
Processor 510 can be one or more, in Fig. 5 by taking a processor 510 as an example；Storage device 520 for store one or
Multiple programs；One or more of programs are executed by one or more of processors 510, so that one or more of places
Manage the processing method for the driving behavior that device 510 is realized as described in any one of embodiment of the present invention.
The electronic equipment can also include: input unit 530 and output device 540.
Processor 510, storage device 520, input unit 530 and output device 540 in the electronic equipment can pass through
Bus or other modes connect, in Fig. 5 for being connected by bus.
Storage device 520 in the electronic equipment is used as a kind of computer readable storage medium, can be used for storing one or
Multiple programs, described program can be software program, computer executable program and module, as mentioned in the embodiment of the present invention
Corresponding program instruction/the module of the processing method of the driving behavior of confession.Processor 510 is stored in storage device 520 by operation
In software program, instruction and module realize thereby executing the various function application and data processing of electronic equipment
The processing method of the driving behavior provided in embodiment of the method is provided.
Storage device 520 may include storing program area and storage data area, wherein storing program area can store operation system
Application program needed for system, at least one function；Storage data area, which can be stored, uses created data according to electronic equipment
Deng.In addition, storage device 520 may include high-speed random access memory, it can also include nonvolatile memory, such as extremely
A few disk memory, flush memory device or other non-volatile solid state memory parts.In some instances, storage device
520 can further comprise the memory remotely located relative to processor 510, these remote memories can pass through network connection
To equipment.The example of above-mentioned network includes but is not limited to internet, intranet, local area network, mobile radio communication and combinations thereof.
Input unit 530 can be used for receiving the number or character information of input, and generates and set with the user of electronic equipment
It sets and the related key signals of function control inputs.Output device 540 may include that display screen etc. shows equipment.
Also, when one or more included program of above-mentioned electronic equipment is by one or more of processors 510
When execution, program is proceeded as follows:
Obtain the vehicle hardware information that the car-mounted terminal of vehicle to be monitored is sent；
The associated driving behavior status information of the vehicle to be monitored is determined according to the vehicle hardware information；
According to the driving behavior status information, the driving rank of driver is determined.
Certainly, it will be understood by those skilled in the art that when one or more included program of above-mentioned electronic equipment is by institute
When stating the execution of one or more processor 510, program can also carry out driving row provided in any embodiment of that present invention
For processing method in relevant operation.
A kind of computer-readable medium is provided in the embodiment of the present invention, is stored thereon with computer program, the program quilt
For executing the processing method of driving behavior when processor executes, this method comprises:
Obtain the vehicle hardware information that the car-mounted terminal of vehicle to be monitored is sent；
The associated driving behavior status information of the vehicle to be monitored is determined according to the vehicle hardware information；
According to the driving behavior status information, the driving rank of driver is determined.
Optionally, it can be also used for executing when which is executed by processor and be driven provided in any embodiment of that present invention
Sail the processing method of behavior.
The computer storage medium of the embodiment of the present invention, can be using any of one or more computer-readable media
Combination.Computer-readable medium can be computer-readable signal media or computer readable storage medium.It is computer-readable
Storage medium for example may be-but not limited to-the system of electricity, magnetic, optical, electromagnetic, infrared ray or semiconductor, device or
Device, or any above combination.The more specific example (non exhaustive list) of computer readable storage medium includes: tool
There are electrical connection, the portable computer diskette, hard disk, random access memory (Random Access of one or more conducting wires
Memory, RAM), read-only memory (Read Only Memory, ROM), erasable programmable read only memory (Erasable
Programmable Read Only Memory, EPROM), flash memory, optical fiber, portable CD-ROM, light storage device, magnetic storage
Device or above-mentioned any appropriate combination.Computer readable storage medium, which can be, any includes or storage program has
Shape medium, the program can be commanded execution system, device or device use or in connection.
Computer-readable signal media may include in a base band or as carrier wave a part propagate data-signal,
Wherein carry computer-readable program code.The data-signal of this propagation can take various forms, including but unlimited
In: electromagnetic signal, optical signal or above-mentioned any appropriate combination.Computer-readable signal media can also be that computer can
Any computer-readable medium other than storage medium is read, which can send, propagates or transmit and be used for
By the use of instruction execution system, device or device or program in connection.
The program code for including on computer-readable medium can transmit with any suitable medium, including but not limited to:
Wirelessly, electric wire, optical cable, radio frequency (RadioFrequency, RF) etc. or above-mentioned any appropriate combination.
The computer for executing operation of the present invention can be write with one or more programming languages or combinations thereof
Program code, described program design language include object oriented program language-such as Java, Smalltalk, C++,
It further include conventional procedural programming language-such as " C " language or similar programming language.Program code can be with
It fully executes, partly execute on the user computer on the user computer, being executed as an independent software package, portion
Divide and partially executes or executed on a remote computer or server completely on the remote computer on the user computer.In
Be related in the situation of remote computer, remote computer can pass through the network of any kind --- including local area network (LAN) or
Wide area network (WAN) --- it is connected to subscriber computer, or, it may be connected to outer computer (such as utilize Internet service
Provider is connected by internet).
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.
Note that the above is only a better embodiment of the present invention and the applied technical principle.It will be appreciated by those skilled in the art that
The invention is not limited to the specific embodiments described herein, be able to carry out for a person skilled in the art it is various it is apparent variation,
It readjusts and substitutes without departing from protection scope of the present invention.Therefore, although being carried out by above embodiments to the present invention
It is described in further detail, but the present invention is not limited to the above embodiments only, without departing from the inventive concept, also
It may include more other equivalent embodiments, and the scope of the invention is determined by the scope of the appended claims.
Claims (10)
1. a kind of processing method of driving behavior characterized by comprising
Obtain the vehicle hardware information that the car-mounted terminal of vehicle to be monitored is sent；
The associated driving behavior status information of the vehicle to be monitored is determined according to the vehicle hardware information；
According to the driving behavior status information, the driving rank of driver is determined.
2. the method according to claim 1, wherein the vehicle that the car-mounted terminal for obtaining vehicle to be monitored is sent is hard
Part information, comprising:
Determine the vehicles identifications of vehicle to be monitored；Wherein, each vehicles identifications are associated with a car-mounted terminal；
The vehicle hardware for the vehicle to be monitored that the associated car-mounted terminal of the vehicles identifications is sent is obtained according to the setting period
Information.
3. any method in -2 according to claim 1, which is characterized in that the vehicle hardware information include it is following at least
One: accelerator pedal information, brake pedal information, air-conditioning consumption power information, vehicle window opening imformation, vehicle speed information, gear letter
The rotation information of breath, steering wheel.
4. the method according to claim 1, wherein determining the vehicle to be monitored according to the vehicle hardware information
Associated driving behavior status information, comprising:
The vehicle hardware information is converted into corresponding hardware characteristics information according to preset information transfer algorithm；
By the corresponding hardware characteristics information input to driving behavior identification model trained in advance, the driving behavior is obtained
The driving behavior status information of identification model output；Driving behavior status information refers to driver in driving procedure for wait supervise
Control the driving behavior of vehicle.
5. according to the method described in claim 4, it is characterized in that, the building operation of the driving behavior identification model includes:
The history vehicle hardware information of car-mounted terminal acquisition is obtained, and according to preset information transfer algorithm, by the history vehicle
Hardware information is converted to corresponding history hardware characteristics information；
Using history hardware characteristics information as sample characteristics information, and determine the corresponding sample mark of the sample characteristics information
Label；The sample label is for indicating the corresponding driving behavior state of sample；
Based on the sample characteristics information and the corresponding sample label of the sample characteristics information, to the tree structure constructed in advance
Disaggregated model is trained, and obtains the driving behavior identification model.
6. the method according to claim 1, wherein determining driver's according to the driving behavior status information
Drive rank, comprising:
If the driving behavior of the driving behavior status information instruction belongs to bad steering behavior, which is believed
Breath is recorded in bad steering behavior list；Wherein, each bad steering behavior list is only associated with a vehicle to be monitored；
According to the quantity of the driving behavior status information recorded in the bad steering behavior list, the driving of driver is determined
Rank.
7. according to the method described in claim 6, it is characterized in that, according to the institute recorded in the bad steering behavior list
The quantity for stating driving behavior status information determines the driving rank of driver, comprising:
Determine the quantity of the driving behavior status information recorded in the bad steering behavior list in fixed record period, and
Determine the rank of the bad steering behavior of each driving behavior status information instruction recorded；
According to the driving behavior status information recorded in the bad steering behavior list quantity and what is recorded each drive
The rank for sailing the bad steering behavior of behavior state information instruction, determines the driving rank of driver.
8. a kind of processing unit of driving behavior characterized by comprising
Hardware information obtains module, the vehicle hardware information that the car-mounted terminal for obtaining vehicle to be monitored is sent；
Status information determining module, for determining the associated driving behavior of vehicle to be monitored according to the vehicle hardware information
Status information；
Rank determination module is driven, for determining the driving rank of driver according to the driving behavior status information.
9. a kind of electronic equipment characterized by comprising
One or more processors；
Storage device, for storing one or more programs；
When one or more of programs are executed by one or more of processors, so that one or more of processors are real
The processing method of any driving behavior in existing claim 1-7.
10. a kind of computer readable storage medium, is stored thereon with computer program, which is characterized in that the program is by processor
The processing method of any driving behavior in claim 1-7 is realized when execution.
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Cited By (1)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN113859247A (en) * | 2020-06-30 | 2021-12-31 | 比亚迪股份有限公司 | Vehicle user identification method and device, vehicle machine and storage medium |
Citations (7)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN104077819A (en) * | 2014-06-17 | 2014-10-01 | 深圳前向启创数码技术有限公司 | Remote monitoring method and system based on driving safety |
| CN105122212A (en) * | 2013-02-12 | 2015-12-02 | 肯赛里克斯公司 | Periodicity optimization in an automated tracing system |
| CN106372817A (en) * | 2016-10-25 | 2017-02-01 | 先锋智道（北京）科技有限公司 | Method, device and system for generating driving behavior of driver |
| CN106534366A (en) * | 2016-12-19 | 2017-03-22 | 北京经纬恒润科技有限公司 | Driving behavior analyzing method, device and system |
| CN106781456A (en) * | 2016-11-29 | 2017-05-31 | 广东好帮手电子科技股份有限公司 | The assessment data processing method and system of a kind of vehicle drive security |
| CN107918963A (en) * | 2017-11-16 | 2018-04-17 | 百度在线网络技术（北京）有限公司 | Information generating method and device for vehicle |
| CN108154283A (en) * | 2016-12-06 | 2018-06-12 | 北京嘀嘀无限科技发展有限公司 | Driver driving behavior analysis method and device |
-
2019
- 2019-08-30 CN CN201910817789.2A patent/CN110533203A/en active Pending
Patent Citations (7)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN105122212A (en) * | 2013-02-12 | 2015-12-02 | 肯赛里克斯公司 | Periodicity optimization in an automated tracing system |
| CN104077819A (en) * | 2014-06-17 | 2014-10-01 | 深圳前向启创数码技术有限公司 | Remote monitoring method and system based on driving safety |
| CN106372817A (en) * | 2016-10-25 | 2017-02-01 | 先锋智道（北京）科技有限公司 | Method, device and system for generating driving behavior of driver |
| CN106781456A (en) * | 2016-11-29 | 2017-05-31 | 广东好帮手电子科技股份有限公司 | The assessment data processing method and system of a kind of vehicle drive security |
| CN108154283A (en) * | 2016-12-06 | 2018-06-12 | 北京嘀嘀无限科技发展有限公司 | Driver driving behavior analysis method and device |
| CN106534366A (en) * | 2016-12-19 | 2017-03-22 | 北京经纬恒润科技有限公司 | Driving behavior analyzing method, device and system |
| CN107918963A (en) * | 2017-11-16 | 2018-04-17 | 百度在线网络技术（北京）有限公司 | Information generating method and device for vehicle |
Cited By (1)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN113859247A (en) * | 2020-06-30 | 2021-12-31 | 比亚迪股份有限公司 | Vehicle user identification method and device, vehicle machine and storage medium |
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