CN108320231A - Information extracting system and method for vehicle - Google Patents
Information extracting system and method for vehicle Download PDFInfo
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- CN108320231A CN108320231A CN201710029910.6A CN201710029910A CN108320231A CN 108320231 A CN108320231 A CN 108320231A CN 201710029910 A CN201710029910 A CN 201710029910A CN 108320231 A CN108320231 A CN 108320231A
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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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Abstract
The present invention relates to a kind of information extracting systems and method for vehicle, which includes information acquisition unit, are configured to acquire the external traffic condition information of the structural information of this vehicle, the running condition information of this vehicle and this vehicle periphery；First storage unit is configured to store multiple predefined traffic environments, wherein each predefined traffic environment is indicated by least one characteristic parameter；Computing unit, it is configured to extract at least one second feature parameter in the information acquired within the unit interval from information acquisition unit, and by the way that at least one second feature parameter extracted to be compared with the characteristic parameter of each predefined traffic environment is indicated, to determine whether this vehicle actual traffic environment residing within the unit interval belongs to one or more predefined traffic environments；And analytic unit, it is configured to the predefined traffic environment of this vehicle experience carries out data analysis within a predetermined period of time or in predetermined operating range.
Description
Technical field
The present invention relates to a kind of information extracting systems and method for vehicle.In particular it relates to be based on vehicle
The traffic environment of experience carries out the information extracting system and information extracting method of information processing and analysis.
Background technology
In general, car owner when buying vehicle insurance mainly according to law regulation, the type of vehicle, price and refer to insurance company
Recommendation select the type and rate of car insurance.In addition, the insurance of UBI (based on the insurance used) pattern in recent years by
Extensive concern.UBI is also referred to as " paying by number is driven ", " paying by drive manner " and " paying by driving range ", is one
The use based on vehicle is planted to determine the vehicle insurance type of expense.UBI patterns are intended to use data by collection vehicle, such as continuously
Drive time suddenly accelerates, the anxious frequency etc. occurred of slowing down, to the driving habit of car owner, driving behavior, operating range, note of breaking rules and regulations
Record etc. is analyzed, and to grasp the driving risk of driver, differentiation insurance scheme is provided to the car owner of different security levels.
The realization of UBI patterns is mainly based upon the exercise datas such as the speed to vehicle, acceleration and analyzes, with for different vehicles
Differentiation evaluation is provided.
Invention content
But the data analysis of UBI patterns does not account for the practical service environment of vehicle, and the practical service environment of vehicle
The trouble scene that the possibility of the driving behavior and vehicle that significantly affect driver is met with.The object of the present invention is to provide one kind
For the information extracting system and method for vehicle, the actual traffic environment that can be undergone based on vehicle is carried out information processing and divided
Analysis, therefore the behavior evaluation of differentiation can be provided different vehicles.It is a further object to provide one kind to be used for
The information extracting system and method for vehicle, the actual traffic environment that can be undergone based on vehicle are the suitable insurance of vehicle selection
Type and premium rank.
According to some embodiments of the present invention, a kind of information extracting system for vehicle, described information extraction are provided
System includes：Information acquisition unit, be configured to acquire the structural information of this vehicle, this vehicle running condition information and Ben Che
External traffic condition information around；First storage unit is configured to store multiple predefined traffic environments, wherein often
A predefined traffic environment is indicated by least one characteristic parameter；Computing unit is configured to from described information collecting unit
At least one second feature parameter, and at least one by will be extracted are extracted in the information acquired within the unit interval
Two characteristic parameters are compared with the characteristic parameter of each predefined traffic environment is indicated, to determine this vehicle in the unit
Whether residing actual traffic environment belongs to one or more predefined traffic environments in time；And analytic unit, match
It is set to the predefined traffic environment of this vehicle experience carries out data analysis within a predetermined period of time or in predetermined operating range.
According to some embodiments of the present invention, information extracting system further includes the second storage unit, is stored and each pre-
The corresponding one or more insurance types of traffic environment of definition and each multiple premium ranks for storing insurance type.
According to some embodiments of the present invention, wherein result of the analytic unit based on data analysis be this vehicle from
The premium rank of selection insurance type and each selected insurance type in the insurance type stored.
According to some embodiments of the present invention, wherein the computing unit is true in real time as interval using the unit interval
Whether the actual traffic environment of fixed this vehicle experience belongs to one or more predefined traffic environments.
According to some embodiments of the present invention, wherein the running condition information of this vehicle include at least this vehicle speed,
Acceleration turns to angle information, and the external traffic condition information of this vehicle periphery includes at least the traffic ginseng of this vehicle periphery
With the classification of person, shape, position, exercise data information, the traffic of the travel path information and this vehicle periphery of this vehicle
Classification, shape, the information of position of facility.
According to some embodiments of the present invention, wherein described information collecting unit also acquires the row of the driver of this vehicle
Behavioural information for information, the driver of described vehicle includes at least and shows that it is related that driver is in the action of fatigue state
Information.
According to some embodiments of the present invention, wherein the external traffic condition information of this vehicle periphery further includes and weather
The related information of situation.
According to some embodiments of the present invention, wherein the second feature parameter is existed by described information collecting unit
At least one of the information acquired in the unit interval initial parameter is calculated.
According to some embodiments of the present invention, wherein the analytic unit calculates within a predetermined period of time or make a reservation for traveling
Number or total time length apart from the interior each predefined traffic environment of vehicle experience.
Some embodiments of the present invention additionally provide a kind of information extracting method for vehicle, and the method includes following
Step：Acquire the external traffic condition information of the structural information of this vehicle, the running condition information of this vehicle and this vehicle periphery；
Multiple predefined traffic environments are stored, wherein each predefined traffic environment is indicated by least one characteristic parameter；From
At least one second feature parameter, and at least one second by will be extracted are extracted in the information acquired in unit interval
Characteristic parameter is compared with the characteristic parameter of each predefined traffic environment is indicated, to determine this vehicle in the unit
Whether interior residing actual traffic environment belongs to one or more predefined traffic environments；And within a predetermined period of time
Or data analysis is carried out to the predefined traffic environment of this vehicle experience in predetermined operating range.
According to the information extracting system and method for vehicle of above-described embodiment, the practical friendship that can be undergone based on vehicle
Logical environment carries out information processing and analysis, facilitates the use of analysis result reasonable arrangement vehicle of the car owner based on information.For not
Same vehicle, can provide the behavior evaluation of differentiation.In addition, by pre-defining traffic environment according to different foundations, it can
Information processing and analysis result are provided with the different aspect for vehicle, vehicle is made in different angle adjustment convenient for car owner
With.
Description of the drawings
In the following, by being retouched to the feature, advantage and technique effect of the exemplary embodiment of the utility model in conjunction with attached drawing
It states, similar reference numeral indicates similar element in attached drawing, wherein：
Fig. 1 shows the block diagram of the information extracting system according to an embodiment of the invention for vehicle；
Fig. 2 shows the display examples of the output unit of information extracting system according to Fig. 1；
Fig. 3 shows the flow chart of the information extracting method according to an embodiment of the invention for vehicle；
Fig. 4 shows the flow chart of the information extracting method for vehicle according to another embodiment of the invention.
Specific implementation mode
Hereinafter, embodiment of the invention will be described with reference to drawings.Following detailed description and drawings are for illustratively saying
Bright the principle of the present invention, the present invention is not limited to described preferred embodiment, the scope of the present invention is defined by the claims.
An embodiment provides a kind of information extracting system for vehicle is related to, which includes information
Collecting unit, be configured to acquire the structural information of this vehicle, the running condition information of this vehicle and this vehicle periphery outside
Traffic related information；First storage unit is configured to store multiple predefined traffic environments, wherein each predefined friendship
Logical environment is indicated by least one characteristic parameter；Computing unit is configured to acquire within the unit interval from information acquisition unit
Information in extract at least one second feature parameter, and by by least one second feature parameter extracted with indicate
The characteristic parameter of each predefined traffic environment is compared, to determine this vehicle reality residing within the unit interval
Whether traffic environment belongs to one or more predefined traffic environments；And analytic unit, it is configured to in the predetermined time
The predefined traffic environment of this vehicle experience carries out data analysis in section or in predetermined operating range.
Fig. 1 shows the information extracting system 1 for vehicle A according to some embodiments of the present invention.As shown in Figure 1,
Information extracting system 1 includes at least information acquisition unit 10, the first storage unit 20, computing unit 30, analytic unit 40 and defeated
Go out unit 50.
Information acquisition unit 10 can be with the structural information of collection vehicle A, the running condition information of vehicle A and vehicle A weeks
The external traffic condition information enclosed.The structural information of vehicle A may include vehicle, size, vehicle age, the model of all parts, ruler
The intrinsic parameter of very little equal vehicles A.Information acquisition unit 10 can directly store the structural information of vehicle A, can also be from vehicle A's
Storage device obtains these information.
Information acquisition unit 10 may include the internal inspection device 11 for the running condition information of collection vehicle A, with
And the external detection device 12 of the external traffic condition information for collection vehicle A.Specifically, internal inspection device 11 can wrap
It includes the various sensors of the exercise data that can obtain vehicle A on vehicle A, such as vehicle speed sensor, acceleration transducer, turns
To angle transducer etc..Internal inspection device 11 can acquire speed, acceleration, steering angle of this vehicle etc. and vehicle A's as a result,
The related information of transport condition.
External detection device 12 may include the various sensors being arranged on vehicle A at suitable position, such as camera,
Radar, laser and ultrasonic sensor etc..External detection device 12 can melting based on these sensors and these sensors
It closes, the related external traffic condition information such as acquisition and the traveling of vehicle A and parking, such as the traffic participant around vehicle A
The classification of (such as motor vehicle, bicycle, pedestrian), shape, position and exercise data (such as speed, acceleration, the direction of motion
Deng) etc. information, the travel path information (category of roads, road shape etc.) of vehicle A, the type of means of transportation, shape, position
The information such as set.Installation position, type and quantity of the sensor of external detection device 12 etc. are not particularly limited, as long as being convenient for
Traffic participant, road and the means of transportation etc. in all directions around vehicle A are detected simultaneously.
According to some embodiments of the present invention, information acquisition unit 10 can also include behavioral value device 13.Behavior is examined
It may include the sensors such as camera to survey device 13, is used for the behavioural information of the driver of collection vehicle A.Here, driver
Behavioural information may include being in the related information of the action of fatigue state with display driver, for example, with yawning, blinking
The related information of facial actions such as eye, eye closing.The behavioural information of driver can also include related with other dangerous driving actions
Information, such as with make a phone call, the related information of action such as smoke, lean to one side.
Information acquisition unit 10 can also include positioning device 14 and weather detection devices 15.Positioning device 14 can carry
The position of highway, hill path, crossroad and/or signal lamp etc., the number of track-lines of road, the radius of curvature of road, speed limit, taboo
It only overtakes other vehicles the cartographic information of the forms environment such as section.Positioning device 14 can be used for obtaining the location information of vehicle A, can be individually
Or the information etc. of road and means of transportation is obtained with external detection device 12 with cooperating with each other.Weather detection devices 15 can be used for
Acquire weather conditions information, such as other weather conditions informations such as temperature, humidity and its mist, rain.Weather detection devices 15 can be with
It is provided with the device of the detection weather conditions such as temperature sensor, humidity sensor, it can also be by being obtained with external device communication
Take weather conditions information.
First storage unit 20 can store multiple predefined traffic environments, wherein each predefined traffic environment by
At least one characteristic parameter indicates.Predefined traffic environment described here can be that vehicle is easy to happen the one of traffic accident
A little typical traffic environment, such as the traffic environment with highdensity motor vehicle, bicycle, pedestrian etc., under severe weather conditions
The more traffic environment etc. of the traffic environment and street canyon and barrier of highway.In addition, predefined traffic ring
Border can also be according to the pre-defined typical traffic environment of other foundations, for example, vehicle is easy to meet with some typical cases of congestion
Traffic environment etc..
In addition, as described above, each predefined traffic environment is indicated by least one characteristic parameter.Spy described here
It levies parameter and is preferably the characteristic parameter for being suitble to describe some predefined traffic environment, and for indicating each predefined
The characteristic parameter of traffic environment can differ.For example, indicating the traffic with highdensity motor vehicle, bicycle, pedestrian etc.
The characteristic parameter of environment may include the quantity of motor vehicle, bicycle, pedestrian detected by external detection device 12 etc., vehicle
A and detect motor vehicle, bicycle, pedestrian mean collision time (TTC) etc.；Indicate highway under severe weather conditions
The characteristic parameter of traffic environment may include the average speed of vehicle A, vehicle A operating range on a highway, detect
Boisterous number etc.；Indicate the characteristic parameter of street canyon and the more traffic environment of barrier may include street most
The quantity of small width, the barrier detected, the mean collision time etc. of vehicle and the barrier detected.
Computing unit 30 be configured to determine the actual traffic environment of vehicle A experience whether belong to some or it is multiple predefined
Traffic environment.Specifically, computing unit 30 can be based on the information acquired within the unit interval in information acquisition unit 10, really
Determine whether vehicle A actual traffic environment residing within the unit interval belongs to one or more predefined traffic environments.Example
Such as, for some predefined traffic environment, computing unit 30 can be acquired from information acquisition unit 10 within the unit interval
Information in extract at least one second feature parameter, and by by least one second feature parameter and indicating that this makes a reservation for
The characteristic parameter of the traffic environment of justice is compared, and is come the actual traffic environment residing for determining vehicle A within the unit interval
It is no to belong to the predefined traffic environment.Wherein, second feature parameter is joined with the feature of the predefined traffic environment is indicated
The parameter of number the same category.Computing unit 30 to second feature parameter with indicate the predefined traffic environment characteristic parameter into
Line number value compares, to determine whether actual traffic environment belongs to the predefined traffic environment.Computing unit 30 can be directed to complete
The predefined traffic environment in portion carries out the extraction of parameter as described above and compares operation, one by one so that it is determined that vehicle A is in the list
The predefined traffic environment of one or more in the time of position belonging to residing actual traffic environment.
Preferably, computing unit 30 can calculate vehicle A actual traffic environment residing within some unit interval with it is every
The matching degree of a predefined traffic environment, and that predefined traffic environment by matching degree more than predetermined threshold determines
For the predefined traffic environment belonging to above-mentioned actual traffic environment.The matching letter for calculating matching degree can be arranged in computing unit 30
Number.The adaptation function is using second feature parameter as input variable, and it is vehicle A residing within the unit interval to export result
The matching degree of actual traffic environment and some predefined traffic environment.Here, the input variable of adaptation function can be one-dimensional
Numerical value, such as Y=f (t), wherein t are, for example, the collision time between vehicle A and some pedestrian；Alternatively, adaptation function is defeated
Enter the vector that variable can also be multidimensional, such as Y=f (v, d1, d2, d3, d4), wherein v are the speeds of vehicle A, d1, d2, d3,
D4 is the distance that four ultrasonic sensors of vehicle A detect.The form of adaptation function can be linear function, such as weight
Average function Y=a1 × d1+a2 × d2+a3 × d3+a4 × d4.Alternatively, the form of adaptation function can also be that other are suitable
Type function, such as vector distance calculate function
Adaptation function can be pre-set, and can also be optimized by machine learning.For different predefined traffic
The form of environment, adaptation function may be the same or different.
Here it is to be noted that it above-mentioned second feature parameter can be in the information that information acquisition unit 10 is acquired
Existing initial parameter can also be the various parameters being calculated based on initial parameter.
In addition, computing unit 30 can be configured to determine the practical friendship of vehicle A experience in real time using the unit interval as interval
Whether logical environment belongs to some or multiple predefined traffic environments.That is, computing unit 30 can be in the use process of vehicle A
In (such as in the driving process of vehicle A) be continued for for each predefined traffic environment using the unit interval as interval
It states the extraction of parameter and compares operation, to determine the predefined traffic belonging to the actual traffic environment of vehicle A experience in real time
Environment.This reason it is assumed that computing unit 30 persistently carries out as above determining operation within a predetermined period of time or in predetermined operating range, it can
All predefined traffic environments undergone with obtaining vehicle A in the predetermined amount of time or in predetermined operating range.
The predefined traffic environment that analytic unit 40 undergoes vehicle A within a predetermined period of time or in predetermined operating range
Carry out data analysis.Based on the data results of analytic unit 40, the traffic environment angle that can be undergone from vehicle A understands vehicle
The history behaviour in service of A.For example, analytic unit 40 can calculate vehicle A within a predetermined period of time or in predetermined operating range
The number of the predefined traffic environment of each of experience or total time length etc..Further, analytic unit 40 can will time
The more or total time longer predefined traffic environment of length of number is identified as vehicle A and needs the friendship being often subjected in use
Logical environment.Analytic unit 40 can may meet with troublesome scene with opposite maximum probability to vehicle A and predict as a result,.For example,
When predefined traffic environment is some typical traffic environment that traffic accident probably occurs for vehicle, analytic unit 40 can
The traffic environment of accident may occur to predict vehicle A with opposite maximum probability.Car owner can be according to the pre- of analytic unit 40 as a result,
Survey the use of result arranged rational vehicle.For example, car owner can be by changing daily travel route, accident may occur
The possibility that the reductions accident such as drive with caution in traffic environment occurs.
Data results and/or prediction result can be output to output unit 50 by analytic unit 40.Output unit 50
It may include display device, can show the data results and/or prediction result of analytic unit 40.Output unit 50
It can such as be shown in such a way that chart is suitble to, be checked with facilitating.
Analytic unit 40 can only carry out above-mentioned data analysis operation and without predicted operation, and by data analysis knot
Fruit is output to output unit 50.Car owner can understand the history behaviour in service of its vehicle by being directly viewable data results,
Thus the use of arranged rational vehicle.
The foregoing describe the information extracting systems according to an embodiment of the invention for vehicle.Such information extraction system
The actual traffic environment that system can be undergone based on vehicle carries out information processing and analysis, facilitates analysis result of the car owner based on information
The use of reasonable arrangement vehicle.For different vehicles, the behavior evaluation of differentiation can be provided.In addition, by according to difference
Foundation pre-define traffic environment, can be directed to vehicle different aspect provide information processing and analysis result, be convenient for car owner
The use to vehicle is adjusted in different angle.
According to some embodiments of the present invention, vehicle is also based on using process for the information extracting system of vehicle
The actual traffic environment of middle experience is the premium grade of insurance type and each required insurance type that user's selection is suitble to its vehicle
Not, or selection gist is at least provided.As described above, the first storage unit 20 of information extracting system 1 can store multiple make a reservation for
The traffic environment of justice, and each predefined traffic environment is indicated by least one characteristic parameter.In addition, information extraction system
System 1 can also include the second storage unit 60, be used to store one or more corresponding with each predefined traffic environment
Insure multiple insurance premium ranks of type and each insurance type stored.The insurance that second storage unit 60 is stored
Type for example may include third party liability insurance, and vehicle loses danger, passengers inside the car's liability insurance, cut danger, risk of spontaneous combustion etc..
Correspondingly, each of above-mentioned multiple predefined traffic environments is defined as traffic environment, and wherein vehicle A is easy
Generation accident, and vehicle loss and/or casualties caused by the accident are in the insurance coverage to insurable type stored
It is interior.Traffic ring of these predefined traffic environments such as may include there is highdensity motor vehicle, bicycle, pedestrian
Border, be easy due to animal, barrier, bad weather and cause the traffic environment of vehicle damage, fatigue driving on expressway
The traffic ring that old vehicle continuously drives for a long time under traffic environment, parking facility congested traffic environment and hot weather
Border etc..Wherein in motor vehicle, bicycle, the higher traffic environment of pedestrian's isodensity, it is easy to happen and other traffic is caused to participate in
The accident of person's property and/or casualties, this corresponds to the insurance coverage of third party liability insurance；It is being easy due to animal, obstacle
Object, bad weather and cause in the traffic environment of vehicle damage, be easy to happen the accident for causing vehicle to lose, this corresponds to
The insurance coverage of vehicle loss danger；On a highway in the traffic environment of fatigue driving, it is easy to happen and passengers inside the car is caused to hinder
The accident died, this corresponds to the insurance coverage of passengers inside the car's liability insurance；In parking facility congested traffic environment, it is easy to happen
The scratch accident of vehicle, this corresponds to the insurance coverage of cut danger；And old vehicle continuously drives for a long time under hot weather
It is easy to happen incidents of spontaneous combustion, this corresponds to the insurance coverage of risk of spontaneous combustion.
In addition, similar with previous embodiment, each predefined traffic environment is indicated by least one characteristic parameter.Example
Such as, it may include by external detection that indicating, which has the characteristic parameter of the traffic environment of highdensity motor vehicle, bicycle, pedestrian etc.,
The quantity of motor vehicle, bicycle, pedestrian that device 12 detects etc., vehicle A and the motor vehicle detected, bicycle, pedestrian
Mean collision time etc.；Indicate to be easy due to animal, barrier, bad weather and cause the feature of the traffic environment of vehicle damage
Parameter may include the mean collision time of vehicle A and the animal or barrier that detect, detect boisterous number etc.；
The characteristic parameter of the traffic environment of expression fatigue driving on expressway may include the average speed of vehicle A, vehicle A in high speed
The number etc. of operating range, the driver fatigue state detected on highway；Indicate parking facility congested traffic environment
Characteristic parameter may include the average minimum range apart from barrier detected during parking, be detected after the completion of parking
The average minimum range etc. apart from barrier；And the traffic environment that old vehicle continuously drives for a long time under hot weather
Characteristic parameter may include that vehicle age, weather temperature, vehicle continuously drive time etc..
Similar with previous embodiment based on the above configuration, the computing unit 30 of information extracting system 1 is configured to determine vehicle
Whether the actual traffic environment of A belongs to one or more predefined traffic environments.Analytic unit 40 can be in the predetermined time
The predefined traffic environment of vehicle A experience carries out data analysis in section or in predetermined operating range.For example, analytic unit 40 is counted
Calculate number, the total time length of each predefined traffic environment etc. of vehicle A experience.Also, output unit 50 can export
The data results of analytic unit 40.Specifically, analytic unit 40 can will within a predetermined period of time or predetermined mileage travelled
Number, the total time length of each predefined traffic environment etc. of interior vehicle A experience, it is associated with corresponding insurance type.
In this way, output unit 50 can show the corresponding insurance class such as the number of each predefined traffic environment, total time length
The relationship of type.Output unit 50 can be as shown in Figure 2 block diagram show that wherein the longitudinal axis and horizontal axis are respectively vehicle A experience
Each predefined traffic environment number or total time length and corresponding insurance type.
The result selection that car owner can be exported based on output unit 50 is suitble to the insurance type of vehicle and each insures class
The premium rank of type.For example, number can be selected more by car owner or the total time longer predefined traffic environment of length corresponds to
Insurance type, and for number or the total time length significantly larger corresponding insurance type of predefined traffic environment,
Select higher premium rank.
In addition, the result that analytic unit 40 can also be automatically based on data analysis is vehicle A selection insurance type and every
The premium rank of a selected insurance type.Specifically, analytic unit 40 can select number or total time length to be more than predetermined threshold
The corresponding insurance type of predefined traffic environment of value, and be institute according to the threshold range where number or total time length
Choosing insurance type selects premium rank.The selection scheme for insuring type and premium rank can be output to output by analytic unit 40
Unit 50.In this way, car owner can directly obtain the suggested design of insurance type and premium rank.
The practical friendship that information extracting system according to the abovementioned embodiments of the present invention can be undergone based on vehicle itself as a result,
Logical environment is the suitable insurance type and premium rank of vehicle selection, or is at least capable of providing selection insurance type and premium grade
Other foundation.In this way, can be coverage and expense of the different vehicles according to its practical service condition differentiation, convenient for using
Family more reasonably manages vehicle.
The foregoing describe the information extracting systems according to the ... of the embodiment of the present invention for vehicle.In the following, description is utilized this
The information extracting method that the system of the embodiment of invention carries out.Fig. 3 shows that information according to an embodiment of the invention carries
Take the flow chart of method.
Specifically, in step sl, around the structural information of collection vehicle A, the running condition information of vehicle A and vehicle A
External traffic condition information.In addition, in step sl, can also collection vehicle A driver behavioural information.
In step S1 ', multiple predefined traffic environments are stored, wherein each predefined traffic environment is by least one
A characteristic parameter indicates.
In step s 2, determine whether the actual traffic environment of vehicle A experience belongs to one or more predefined traffic
Environment.Specifically, the information acquired within the unit interval based on step S1 determines vehicle A realities residing within the unit interval
Whether border traffic environment belongs to one or more predefined traffic environments.For example, it is directed to some predefined traffic environment,
At least one second feature parameter is extracted in the information that step S2 can be acquired from step S1 within the unit interval, and will be carried
At least one second feature parameter taken is compared with the characteristic parameter of the predefined traffic environment is indicated, to determine vehicle
Whether actual traffic environment residing within the unit interval A belongs to the predefined traffic environment.Wherein, second feature parameter
It is the parameter with the characteristic parameter the same category for indicating the predefined traffic environment.Second feature parameter is made a reservation for this is indicated
The characteristic parameter of the traffic environment of justice carries out numerical value comparison, to determine whether actual traffic environment belongs to the predefined traffic ring
Border.For all predefined traffic environments, the extraction of parameter as described above is carried out one by one and compares operation, so that it is determined that vehicle
The predefined traffic environments of one or more belonging to actual traffic environment residing within the unit interval A.Step S2 can
It is realized with being calculated by previously described matching degree, which is not described herein again.
In addition, step S2 can be that (such as vehicle A is run over the unit interval during being spaced in the use of vehicle A
In journey) it carries out in real time.This reason it is assumed that step S2 is persistently carried out within a predetermined period of time or in predetermined operating range, can obtain
All predefined traffic environments undergone in the predetermined amount of time or in predetermined operating range to vehicle A.
In step s3, to the predefined traffic within a predetermined period of time or in predetermined operating range to vehicle A experience
Environment carries out data analysis.Specifically, in step s3, it can calculate within a predetermined period of time or institute is true in predetermined operating range
Number, the total time length of each predefined traffic environment etc. of fixed vehicle A experience.
In step s 4, the data results based on step S3 carry out the trouble scene met with that is possible to of vehicle A
Prediction.
In step s 5, output data analysis result and/or prediction result.
Based on information above extracting method, the actual traffic environment that can be undergone based on vehicle is carried out information processing and divided
Analysis, facilitates use of the car owner based on information processing with analysis result arranged rational vehicle.In this way, for different vehicles, it can
To provide the behavior evaluation of differentiation.In addition, by pre-defining traffic environment according to different foundations, vehicle can be directed to
Different aspect provides information processing and analysis result, and the use to vehicle is adjusted in different angle convenient for car owner.
The foregoing describe the information extracting methods for being used for vehicle according to some embodiments of the present invention.Fig. 4 shows basis
The flow chart of the information extracting method of other embodiments of the present invention.Information extracting method shown in Fig. 4 is implemented as shown in figure 3
The information extracting method of example is similar, the difference is that further include step S6, in step s 6, storage and each predefined friendship
The logical corresponding one or more insurance types of environment and each multiple insurance premium ranks for storing insurance type.Accordingly
Ground, each predefined traffic environment stored in step S1 ' are defined as traffic environment, and wherein vehicle A is easy to happen
Accident, and vehicle loss and/or casualties caused by the accident are in the insurance coverage to insurable type stored.
In addition, information extracting method shown in Fig. 4 further includes step S7-S9.In the step s 7, within a predetermined period of time
Or data analysis is carried out to the predefined traffic environment of vehicle A experience in predetermined operating range.Specifically, in the step s 7,
Each predefined traffic environment that within a predetermined period of time or identified vehicle A is undergone in predetermined operating range can be calculated
Number, total time length etc..
In step s 8, each predefined friendship vehicle A within a predetermined period of time or in predetermined mileage travelled undergone
Number, the total time length etc. of logical environment, it is associated with corresponding insurance type.
In step s 9, output within a predetermined period of time or in predetermined mileage travelled vehicle A undergo it is each predefined
The relationship of the corresponding insurance type such as number, the total time length of traffic environment.Block diagram that can be as shown in Figure 2 is shown
Show, wherein the longitudinal axis and horizontal axis be respectively each predefined traffic environment of vehicle A experience number or total time length and
Corresponding insurance type.
Car owner can select the guarantor of the insurance type for being suitble to vehicle and each insurance type based on the result of output as a result,
Take rank.For example, car owner can select number more or the total time corresponding insurance of the longer predefined traffic environment of length
Type, and for number or the total time length significantly larger corresponding insurance type of predefined traffic environment, selection compared with
High premium rank.
In addition, information extracting method shown in Fig. 4 can also include step S10.In step slo, it is automatically based on number
Result according to analysis is the premium rank of vehicle A selections insurance type and each selected insurance type.Specifically, it can select secondary
Number or total time length be more than predetermined threshold the corresponding insurance type of predefined traffic environment, and according to number or it is total when
Between threshold range where length be selected insurance type selection premium rank.Can in step s 11 export insurance type and
The selection scheme of premium rank.In this way, car owner can directly obtain the suggested design of insurance type and premium rank.
The practical friendship that information extracting method according to the abovementioned embodiments of the present invention can be undergone based on vehicle itself as a result,
Logical environment is the suitable insurance type and premium rank of vehicle selection, or is at least capable of providing selection insurance type and premium grade
Other foundation.In this way, can be coverage and expense of the different vehicles according to its practical service condition differentiation, convenient for using
Family more reasonably manages vehicle.
While the invention has been described with reference to exemplary embodiments thereof, however, it is understood that the present invention is not limited to above-mentioned realities
Apply the construction and method of example.On the contrary, it is intended to cover various modifications example and equivalent arrangements.In addition, although in various examples
Property combination and construction in show the various elements and method and step of disclosed invention, but include more, less element
Or other combinations of method are also fallen within the scope of the present invention.
Claims (18)
1. a kind of information extracting system for vehicle, described information extraction system include：
Information acquisition unit is configured to acquire the structural information of this vehicle, the running condition information of this vehicle and this vehicle week
The external traffic condition information enclosed；
First storage unit is configured to store multiple predefined traffic environments, wherein each predefined traffic environment by
At least one characteristic parameter indicates；
Computing unit is configured to extract at least one from the information that described information collecting unit acquires within the unit interval
Two characteristic parameters, and by by least one second feature parameter extracted with indicate each predefined traffic environment
Characteristic parameter is compared, come determine this vehicle actual traffic environment residing within the unit interval whether belong to one or
Multiple predefined traffic environments；And
Analytic unit is configured to the predefined traffic undergone to this vehicle within a predetermined period of time or in predetermined operating range
Environment carries out data analysis.
2. information extracting system according to claim 1, further includes
Second storage unit, storage one or more insurance types corresponding with each predefined traffic environment and each
Store multiple premium ranks of insurance type.
3. information extracting system according to claim 2, wherein
The analytic unit selected from the insurance type stored for this vehicle based on the result of data analysis insurance type with
And the premium rank of each selected insurance type.
4. information extracting system according to any one of claim 1-3, wherein
The computing unit determines whether the actual traffic environment of this vehicle experience belongs to using the unit interval as interval in real time
In one or more predefined traffic environments.
5. information extracting system according to any one of claim 1-3, wherein
The running condition information of this vehicle includes at least the speed of this vehicle, acceleration, turns to angle information, and
The external traffic condition information of this vehicle periphery includes at least the classification, shape, position of the traffic participant of this vehicle periphery
It sets, the information of exercise data, the travel path information of this vehicle and the classification of the means of transportation of this vehicle periphery, shape, position
The information set.
6. information extracting system according to claim 5, wherein
Described information collecting unit also acquires the behavioural information of the driver of this vehicle, the behavior letter of the driver of described vehicle
Breath is included at least is in the related information of the action of fatigue state with display driver.
7. information extracting system according to claim 6, wherein
The external traffic condition information of this vehicle periphery further includes information related with weather conditions.
8. information extracting system according to any one of claim 1-3, wherein
The second feature parameter be in the information acquired within the unit interval by described information collecting unit at least
What one initial parameter was calculated.
9. information extracting system according to any one of claim 1-3, wherein
The analytic unit calculates within a predetermined period of time or this vehicle undergoes each predefined traffic in predetermined operating range
The number or total time length of environment.
10. a kind of information extracting method for vehicle the described method comprises the following steps：
Acquire the external traffic condition information of the structural information of this vehicle, the running condition information of this vehicle and this vehicle periphery；
Multiple predefined traffic environments are stored, wherein each predefined traffic environment is indicated by least one characteristic parameter；
At least one second feature parameter is extracted from the information acquired within the unit interval, and by will be extracted at least
One second feature parameter is compared with the characteristic parameter of each predefined traffic environment is indicated, to determine this vehicle in institute
State whether actual traffic environment residing in the unit interval belongs to one or more predefined traffic environments；And
To carrying out data point to the predefined traffic environment of this vehicle experience within a predetermined period of time or in predetermined operating range
Analysis.
11. information extracting method according to claim 10, further comprising the steps of：
Storage one or more corresponding with each predefined traffic environment insures types and each stores insurance type
Multiple insurance premium ranks.
12. information extracting method according to claim 11, further comprising the steps of：
Insurance type and each selected guarantor are selected from the insurance type stored for this vehicle based on the result of data analysis
The premium rank of dangerous type.
13. according to the information extracting method described in any one of claim 10-12, wherein
Determine whether the actual traffic environment of this vehicle experience belongs to one or more in real time using the unit interval as interval
Predefined traffic environment.
14. according to the information extracting method described in any one of claim 10-12, wherein
The running condition information of this vehicle includes at least the speed, the information of acceleration, steering angle of this vehicle, and
The external traffic condition information of this vehicle periphery includes at least the classification, shape, position of the traffic participant of this vehicle periphery
It sets, the information of exercise data, the travel path information of this vehicle and the classification of means of transportation, shape, the information of position.
15. information extracting method according to claim 14, wherein
Acquire the behavioural information of the driver of this vehicle, wherein the behavioural information of the driver of described vehicle include at least with
Display driver is in the related information of action of fatigue state.
16. information extracting method according to claim 15, wherein
The external traffic condition information of this vehicle periphery further includes information related with weather conditions.
17. according to the information extracting method described in any one of claim 10-12, wherein
The second feature parameter is calculated by least one of the information that is acquired within each unit interval initial parameter
It obtains.
18. according to the information extracting method described in claim 10-12, wherein
The data analysis step includes that each of this vehicle experience is pre- within a predetermined period of time or in predetermined operating range for calculating
The number or total time length of the traffic environment of definition.
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| CN201710029910.6A CN108320231A (en) | 2017-01-16 | 2017-01-16 | Information extracting system and method for vehicle |
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Application publication date: 20180724 |