CN107292663A - Vehicle insurance pricing method and device - Google Patents
Vehicle insurance pricing method and device Download PDFInfo
- Publication number
- CN107292663A CN107292663A CN201710429731.1A CN201710429731A CN107292663A CN 107292663 A CN107292663 A CN 107292663A CN 201710429731 A CN201710429731 A CN 201710429731A CN 107292663 A CN107292663 A CN 107292663A
- Authority
- CN
- China
- Prior art keywords
- vehicle
- driver
- characteristic information
- habit data
- driving habit
- Prior art date
- Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
- Pending
Links
Classifications
-
- 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
- G06Q30/00—Commerce
- G06Q30/02—Marketing; Price estimation or determination; Fundraising
- G06Q30/0283—Price estimation or determination
-
- 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
- G06Q40/00—Finance; Insurance; Tax strategies; Processing of corporate or income taxes
- G06Q40/08—Insurance
Abstract
The invention provides a kind of vehicle insurance pricing method and device, it is related to the technical field of vehicle, wherein, a kind of vehicle insurance pricing method comprises the following steps：The parameter value of parameter preset of the vehicle in setting historical time, and the parameter value corresponding time are obtained from the OBD system of vehicle；From monitor video of the vehicle in the setting historical time, the characteristic information of each driver face, and the characteristic information corresponding time are extracted；The characteristic information passage time of the parameter value and driver are associated, the driving habit data of each driver are drawn；The vehicle is scored according to the driving habit data of each driver；Vehicle insurance price is carried out to the vehicle according to the scoring, the technical problem of the factor of driver is not accounted in the vehicle insurance price for solving prior art, reach and associated the performance parameter of vehicle with the driving habit data of driver, improved the rational technique effect of vehicle insurance price.
Description
Technical field
The present invention relates to technical field of vehicle, more particularly, to a kind of vehicle insurance pricing method and device.
Background technology
At present, vehicle insurance price is universal according to the driving information of vehicle, accident record, geographical location information, mileage, motor vehicle
The factors such as information deduce insurance price, simple to operate, but the not factor in view of human factor, i.e. vehicle driver.
It is well known that same vehicle, the safety coefficient that different people drives is different, i.e., when vehicle is travelled, vehicle safety
Assessment should bundle vehicle with people, it is impossible to only consider vehicle parameter, and ignore the factor of driver.
The content of the invention
In view of this, it is an object of the invention to provide a kind of vehicle insurance pricing method and device, to solve prior art
The technical problem of the factor of driver is not accounted in vehicle insurance price.
In a first aspect, the embodiments of the invention provide a kind of vehicle insurance pricing method, comprising the following steps：
The parameter value of parameter preset of the vehicle in setting historical time, and parameter value pair are obtained from the OBD system of vehicle
The time answered；
From monitor video of the vehicle in setting historical time, the characteristic information of each driver face is extracted, with
And the characteristic information corresponding time；
The characteristic information passage time of parameter value and driver are associated, the driving habit number of each driver is drawn
According to；
The vehicle is scored according to the driving habit data of each driver；
Vehicle insurance price is carried out to the vehicle according to scoring.
With reference in a first aspect, the embodiments of the invention provide the possible embodiment of the first of first aspect, wherein, from
The OBD system of vehicle obtains the parameter value of parameter preset and before the parameter value corresponding time, in addition to：
Parameter preset and parameter preset threshold value are determined according to type of vehicle and vehicle insurance type；
Parameter preset is obtained from the OBD system of vehicle, the parameter value more than parameter preset threshold value is obtained from parameter preset,
And the parameter value corresponding time.
With reference in a first aspect, the embodiments of the invention provide the possible embodiment of second of first aspect, wherein, from
In monitor video of the vehicle in setting historical time, the characteristic information of each driver face, and characteristic information are extracted
The corresponding time, including：
Monitor video image of the vehicle in setting historical time is obtained by license plate number or vehicle characteristic information；
The image after video structural, generation video structural is carried out to monitor video image；
From the image after video structural extract driver face characteristic information, and characteristic information it is corresponding when
Between.
With reference in a first aspect, the embodiments of the invention provide the possible embodiment of the third of first aspect, wherein, root
The vehicle is scored according to the driving habit data of each driver, in addition to：
Obtain the reference information of vehicle car owner；
The vehicle is scored according to the reference information of the driving habit data of each driver and car owner.
With reference in a first aspect, the embodiments of the invention provide the possible embodiment of the 4th of first aspect kind, wherein, root
The vehicle is scored according to the driving habit data of each driver, in addition to：
Count the driving duration of each driver；
Driver is ranked up according to duration is driven, it is the driver that participates in evaluation and electing to take the driver of N before being ordered as；
The reference information for the driver that participates in evaluation and electing is obtained, wherein, reference information is recorded including traffic accident；
The vehicle is scored according to the driving habit data for the driver that participates in evaluation and electing and reference information.
With reference in a first aspect, the embodiments of the invention provide the possible embodiment of the 5th of first aspect kind, wherein, root
The vehicle is scored according to the driving habit data of each driver, in addition to：
Obtain the accident record of the vehicle, and the corresponding driver of accident record；
Whether judge the driver is car owner；
If so, then being scored according to the driving habit data of each driver and car owner's accident record the vehicle；
If it is not, then being scored according to the driving habit data of each driver with non-car owner's accident record the vehicle.
With reference in a first aspect, the embodiments of the invention provide the possible embodiment of the 6th of first aspect kind, wherein, root
The vehicle is scored according to the driving habit data of each driver, in addition to；
The running environment of vehicle is obtained by the OBD system of vehicle；
The vehicle is scored according to the driving habit data of each driver and running environment.
Second aspect, the embodiment of the present invention additionally provides a kind of vehicle insurance pricing device, including：
Parameter acquisition module, for obtaining parameter preset of the vehicle in setting historical time from the OBD system of vehicle
Parameter value, and parameter value corresponding time；
Characteristic information extracting module, in the monitor video in historical time is set, extracting each from the vehicle and driving
The characteristic information of the person's of sailing face, and characteristic information corresponding time；
Relating module, for the characteristic information passage time of parameter value and driver to be associated, draws each driving
The driving habit data of member；
Grading module, scores the vehicle for the driving habit data according to each driver；
Pricing module, for carrying out vehicle insurance price to the vehicle according to scoring.
The third aspect, the embodiment of the present invention additionally provides a kind of vehicle insurance pricing server, including memory, processor and deposits
The computer program that can be run on a memory and on a processor is stored up, first aspect is realized during computing device computer program
Method the step of.
Fourth aspect, the embodiment of the present invention additionally provides a kind of non-volatile program code that can perform with processor
Computer-readable medium, program code makes the method described in the computing device first aspect.
The embodiment of the present invention brings following beneficial effect：
Vehicle insurance pricing method provided in an embodiment of the present invention obtains vehicle in setting historical time from the OBD system of vehicle
Parameter preset parameter value, and parameter value corresponding time；From monitor video of the vehicle in setting historical time, carry
Take the characteristic information of each driver face, and characteristic information corresponding time；By parameter value and the characteristic information of driver
Passage time is associated, and draws the driving habit data of each driver, compared to prior art that all parameter values is equal
Regard the driving habit data of car owner as, can more reflect driving safety of the vehicle within following certain time；According to every
The driving habit data of individual driver score the vehicle；Vehicle insurance price is carried out to the vehicle according to scoring, by vehicle
Parameter combines passage time with driver, provides the vehicle insurance based on vehicle self performance and driver's driving habit data and determines
Valency method, makes vehicle insurance price more reasonable.
Other features and advantages of the present invention will be illustrated in the following description, also, partly be become from specification
Obtain it is clear that or being understood by implementing the present invention.The purpose of the present invention and other advantages are in specification, claims
And specifically noted structure is realized and obtained in accompanying drawing.
To enable the above objects, features and advantages of the present invention to become apparent, preferred embodiment cited below particularly, and coordinate
Appended accompanying drawing, is described in detail below.
Brief description of the drawings
, below will be to specific in order to illustrate more clearly of the specific embodiment of the invention or technical scheme of the prior art
The accompanying drawing used required in embodiment or description of the prior art is briefly described, it should be apparent that, in describing below
Accompanying drawing is some embodiments of the present invention, for those of ordinary skill in the art, before creative work is not paid
Put, other accompanying drawings can also be obtained according to these accompanying drawings.
Fig. 1 is the flow chart for the vehicle insurance pricing method that the embodiment of the present invention 1 is provided；
The flow chart that Fig. 2 is step S2 in the vehicle insurance pricing method that the embodiment of the present invention 1 is provided；
The first embodiment flow chart that Fig. 3 is step S4 in the vehicle insurance pricing method that the embodiment of the present invention 1 is provided；
Second of embodiment flow chart that Fig. 4 is step S4 in the vehicle insurance pricing method that the embodiment of the present invention 1 is provided；
The third embodiment flow chart that Fig. 5 is step S4 in the vehicle insurance pricing method that the embodiment of the present invention 1 is provided；
The 4th kind of embodiment flow chart that Fig. 6 is step S4 in the vehicle insurance pricing method that the embodiment of the present invention 1 is provided；
Fig. 7 is the schematic diagram for the vehicle insurance pricing device that the embodiment of the present invention 2 is provided.
Icon：1- parameter acquisition modules；2- characteristic information extracting modules；3- relating modules；4- grading modules；5- price moulds
Block.
Embodiment
To make the purpose, technical scheme and advantage of the embodiment of the present invention clearer, below in conjunction with accompanying drawing to the present invention
Technical scheme be clearly and completely described, it is clear that described embodiment is a part of embodiment of the invention, rather than
Whole embodiments.Based on the embodiment in the present invention, those of ordinary skill in the art are not making creative work premise
Lower obtained every other embodiment, belongs to the scope of protection of the invention.
Current vehicle insurance is fixed a price only according to driving information, accident record, geographical location information, mileage, vehicle information
Insurance price is deduced etc. factor, based on this, a kind of vehicle insurance pricing method provided in an embodiment of the present invention and device can be by cars
Performance parameter associated with the driving habit data of driver, improve vehicle insurance price reasonability.
For ease of understanding the present embodiment, a kind of vehicle insurance pricing method disclosed in the embodiment of the present invention is entered first
Row is discussed in detail.
Embodiment 1
As shown in figure 1, present embodiments providing a kind of vehicle insurance pricing method, comprise the following steps：
S1. the parameter value of parameter preset of the vehicle in setting historical time, and parameter value are obtained from the OBD system of vehicle
The corresponding time.
This step preferably determines parameter preset, parameter preset threshold value and default history according to type of vehicle and vehicle insurance type
Time；Parameter preset is obtained from the OBD system of vehicle, the parameter value more than parameter preset threshold value is obtained from parameter preset, and
The parameter value corresponding time.
In the present embodiment, vehicle insurance price is higher, and parameter preset is more, and setting historical time is longer.
S2. from the vehicle in the monitor video in historical time is set, the characteristic information of each driver face is extracted,
And the characteristic information corresponding time.
As shown in Fig. 2 step S2 embodiment is preferably as follows：
S21. monitor video image of the vehicle in setting historical time is obtained by license plate number or vehicle characteristic information.
S22. the image after video structural, generation video structural is carried out to monitor video image.
The preferred video image that driver is first extracted from monitor video image of this step, then to the driver's of extraction
Video image carries out the image after video structural, generation video structural.
S23. the characteristic information of driver's face is extracted from the image after video structural, and characteristic information is corresponding
Time.
The face recognition feature letter such as the preferred face contour of characteristic information, the colour of skin, iris of driver's face in this step
Breath.By characteristic information and association in time, it may be determined that driver of the vehicle in setting historical time, and each driver
Driving time.
It should be noted that the present embodiment is not limited step S1 and step S2 execution sequence.
S3. the characteristic information passage time of parameter value and driver are associated, show that the driving of each driver is practised
Used data.
By from OBD system the derived parameter value of parameter preset and the characteristic information passage time of driver closed
Connection, and then determine the driving habit data of each driver, such as whether driving can determine whether by the startup of automobile, dwell time
Steadily, so as to judge that driver belongs to leveling style or advances rashly type.
S4. the vehicle is scored according to the driving habit data of each driver.
In the present embodiment, preferably, total score is set to car owner's score value, vehicle score value and driver point
Value, when car owner also drives the vehicle, then the fraction of car owner is the summation of driver point and car owner point.
In addition, scoring coefficient of the scoring coefficient higher than the driver of non-car owner of the driver as car owner, i.e. to this
When vehicle scores, if thering is same bad steering to be accustomed to data as the driver of car owner and the driver of non-car owners, before
Deduction of points of the deduction of points more than later case of one situation.In addition, scoring coefficient is relevant with the time for driving the vehicle, i.e., for same
Bad steering custom data, driving the deduction of points of the longer driver of the vehicle time, the vehicle time is shorter drives higher than driving
The deduction of points for the person of sailing.
S5. vehicle insurance price is carried out to the vehicle according to scoring.
Vehicle insurance price is carried out according to the last scoring of the vehicle.
As shown in figure 3, the step S4. of the present embodiment also includes：
S411. the reference information of vehicle car owner is obtained.
In this step, the reference information of vehicle car owner is recorded including traffic accident, and traffic accident record can basis
It is actually needed and limits the traffic accident record for belonging to the vehicle, or all traffic accidents of he or she are recorded.
S412. the vehicle is scored according to the reference information of the driving habit data of each driver and car owner.
In this step, the driving habit data of driver and the reference information of car owner are introduced into vehicle insurance as evaluation criterion
In price, the reasonability of vehicle insurance price is improved, while improving influence of the car owner to vehicle insurance price.
As shown in figure 4, for the vehicle recorded without traffic accident, in the present embodiment, step S4 embodiment is preferably such as
Under：
S421. the driving duration of each driver is counted.
S422. driver is ranked up according to driving duration, it is the driver that participates in evaluation and electing to take the driver of N before being ordered as.
In this step, N is natural number more than or equal to 1, the primary flight personnel for judging the vehicle, reduction or
Ignore the influence that other people are brought the short time using the vehicle.
S423. the reference information for the driver that participates in evaluation and electing is obtained, wherein, reference information includes personal traffic accident record.
Traffic accident in this step is recorded as driver and drives the traffic accident record that other vehicles occur, practical operation
In, it can be set according to actual conditions, such as：Need to consider all traffic accident records, or only consider tighter
The traffic accident record of weight, or only consider the traffic accident record within setting time.
S424. according to participating in evaluation and electing the driving habit data of driver and reference information scores the vehicle.
Present embodiment, regard the driving information of the driving habit data of driver and primary flight person as main consideration
Factor scores the vehicle, improves effect of the vehicle operator in vehicle insurance price.
As shown in figure 5, for there is the vehicle of traffic accident, step S4 preferred embodiment is as follows：
S431. the accident record of the vehicle, and the corresponding driver of accident record are obtained.
Whether be car owner, if then performing step S433 if S432. judging the driver, if otherwise performing step S434.
S433. the vehicle is scored according to the driving habit data of each driver and car owner's accident record.
S434. the vehicle is scored with non-car owner's accident record according to the driving habit data of each driver.
In present embodiment, when vehicle scores, same traffic accident record, the deduction of points of car owner's traffic accident is higher than non-car
The deduction of points of main traffic accident.
In current vehicle insurance price, only traffic accident record and vehicle are associated, that is, by traffic accident and car
Master is associated, and does not consider or weaken the traffic accident that other people accidentally occur with car, and present embodiment is evaluated in vehicle insurance
When, reduce the influence that the traffic accident caused by non-car owner driver is fixed a price to vehicle insurance.
As shown in fig. 6, as the another embodiment of the present embodiment, step S4 also includes：
S441. the running environment of vehicle is obtained by the OBD system of vehicle；
S442. the vehicle is scored according to the driving habit data of each driver and running environment.
Present embodiment considers the transportation environment of vehicle, that is, considers influence of the transportation environment to vehicle safety, and then
Transportation environment factor is introduced into vehicle insurance Pricing Analysis.
Embodiment 2
As shown in fig. 7, a vehicle insurance pricing device is present embodiments provided, including parameter acquisition module 1, characteristic information are carried
Modulus block 2, relating module 3, grading module 4 and pricing module 5, parameter acquisition module 1 are used to obtain car from the OBD system of vehicle
The parameter value of parameter preset in setting historical time, and parameter value corresponding time；Characteristic information extracting module 2 is used for
From monitor video of the vehicle in setting historical time, the characteristic information of each driver face, and feature letter are extracted
Cease the corresponding time；Relating module 3 is used to the characteristic information passage time of parameter value and driver being associated；Grading module
4 are used to score to the vehicle according to the driving habit data of each driver；Pricing module 5 is used for according to scoring to the car
Carry out vehicle insurance price.
It is apparent to those skilled in the art that, for convenience and simplicity of description, the device of foregoing description
Specific work process, may be referred to the corresponding process in preceding method embodiment, will not be repeated here.
Vehicle insurance pricing device provided in an embodiment of the present invention, the vehicle insurance pricing method provided with above-described embodiment has identical
Technical characteristic, so can also solve identical technical problem, reach identical technique effect.
Based on previous embodiment, the present embodiment additionally provides a kind of vehicle insurance pricing server, including memory, processor and
It is stored in the computer program that can be run on the memory and on the processor, computer described in the computing device
The step of method described in embodiment 1 is realized during program.
Based on previous embodiment, a kind of non-volatile program code that can perform with processor is present embodiments provided
Computer-readable medium, described program code makes the methods described of computing device embodiment 1.
Vehicle insurance pricing method and the computer program product of device that the embodiment of the present invention is provided, including store program
The computer-readable recording medium of code, the instruction that described program code includes can be used for performing described in previous methods embodiment
Method, implement can be found in embodiment of the method, will not be repeated here.
It is apparent to those skilled in the art that, for convenience and simplicity of description, the system of foregoing description
With the specific work process of device, the corresponding process in preceding method embodiment is may be referred to, be will not be repeated here.
In addition, in the description of the embodiment of the present invention, unless otherwise clearly defined and limited, term " installation ", " phase
Even ", " connection " should be interpreted broadly, for example, it may be being fixedly connected or being detachably connected, or be integrally connected；Can
To be mechanical connection or electrical connection；Can be joined directly together, can also be indirectly connected to by intermediary, Ke Yishi
The connection of two element internals.For the ordinary skill in the art, with concrete condition above-mentioned term can be understood at this
Concrete meaning in invention.
If the function is realized using in the form of SFU software functional unit and is used as independent production marketing or in use, can be with
It is stored in a computer read/write memory medium.Understood based on such, technical scheme is substantially in other words
The part contributed to prior art or the part of the technical scheme can be embodied in the form of software product, the meter
Calculation machine software product is stored in a storage medium, including some instructions are to cause a computer equipment (can be individual
People's computer, server, or network equipment etc.) perform all or part of step of each of the invention embodiment methods described.
And foregoing storage medium includes：USB flash disk, mobile hard disk, read-only storage (ROM, Read-Only Memory), arbitrary access are deposited
Reservoir (RAM, Random Access Memory), magnetic disc or CD etc. are various can be with the medium of store program codes.
In the description of the invention, it is necessary to explanation, term " " center ", " on ", " under ", "left", "right", " vertical ",
The orientation or position relationship of the instruction such as " level ", " interior ", " outer " be based on orientation shown in the drawings or position relationship, merely to
Be easy to the description present invention and simplify description, rather than indicate or imply signified device or element must have specific orientation,
With specific azimuth configuration and operation, therefore it is not considered as limiting the invention.In addition, term " first ", " second ",
" the 3rd " is only used for describing purpose, and it is not intended that indicating or implying relative importance.
Finally it should be noted that：Embodiment described above, is only the embodiment of the present invention, to illustrate the present invention
Technical scheme, rather than its limitations, protection scope of the present invention is not limited thereto, although with reference to the foregoing embodiments to this hair
It is bright to be described in detail, it will be understood by those within the art that：Any one skilled in the art
The invention discloses technical scope in, it can still modify to the technical scheme described in previous embodiment or can be light
Change is readily conceivable that, or equivalent substitution is carried out to which part technical characteristic；And these modifications, change or replacement, do not make
The essence of appropriate technical solution departs from the spirit and scope of technical scheme of the embodiment of the present invention, should all cover the protection in the present invention
Within the scope of.Therefore, protection scope of the present invention described should be defined by scope of the claims.
Claims (10)
1. a kind of vehicle insurance pricing method, it is characterised in that comprise the following steps：
The parameter value of parameter preset of the vehicle in setting historical time, and the parameter value pair are obtained from the OBD system of vehicle
The time answered；
From monitor video of the vehicle in the setting historical time, the characteristic information of each driver face is extracted, with
And the characteristic information corresponding time；
The characteristic information passage time of the parameter value and driver are associated, show that the driving of each driver is practised
Used data；
The vehicle is scored according to the driving habit data of each driver；
Vehicle insurance price is carried out to the vehicle according to the scoring.
2. according to the method described in claim 1, it is characterised in that the OBD system from vehicle obtains the ginseng of parameter preset
Numerical value, and the parameter value corresponding time, including：
Parameter preset and parameter preset threshold value are determined according to type of vehicle and vehicle insurance type；
The parameter preset is obtained from the OBD system of vehicle, is obtained from the parameter preset and exceedes the parameter preset threshold value
Parameter value, and the parameter value corresponding time.
3. according to the method described in claim 1, it is characterised in that the prison from the vehicle in the setting historical time
Control in video, extract the characteristic information of each driver face, and the characteristic information corresponding time, including：
Monitor video image of the vehicle in the setting historical time is obtained by license plate number or vehicle characteristic information；
The image after video structural, generation video structural is carried out to the monitor video image；
The characteristic information of extraction driver face from the image after the video structural, and the characteristic information are corresponding
Time.
4. according to the method described in claim 1, it is characterised in that the driving habit data of each driver of basis
The vehicle is scored, in addition to：
Obtain the reference information of vehicle car owner；
The vehicle is scored according to the reference information of the driving habit data of each driver and car owner.
5. according to the method described in claim 1, it is characterised in that the driving habit data of each driver of basis
The vehicle is scored, in addition to：
Count the driving duration of each driver；
The driver is ranked up according to duration is driven, it is the driver that participates in evaluation and electing to take the driver of N before being ordered as；
The reference information for the driver that participates in evaluation and electing is obtained, wherein, the reference information is recorded including traffic accident；
The vehicle is scored according to the driving habit data for the driver that participates in evaluation and electing and the reference information.
6. according to the method described in claim 1, it is characterised in that the driving habit data of each driver of basis
The vehicle is scored, in addition to：
Obtain the accident record of the vehicle, and the corresponding driver of the accident record；
Whether judge the driver is car owner；
If so, then being scored according to the driving habit data of each driver with car owner's accident record the vehicle；
If it is not, then being scored according to the driving habit data of each driver and non-car owner's accident record the vehicle.
7. method according to claim 6, it is characterised in that the driving habit data of each driver of basis
The vehicle is scored, in addition to；
The running environment of vehicle is obtained by the OBD system of vehicle；
The vehicle is scored with the running environment according to the driving habit data of each driver.
8. a kind of vehicle insurance pricing device, it is characterised in that including：
Parameter acquisition module, the parameter for obtaining parameter preset of the vehicle in setting historical time from the OBD system of vehicle
Value, and the parameter value corresponding time；
Characteristic information extracting module, in the monitor video for setting in historical time, extracting each from the vehicle and driving
The characteristic information of the person's of sailing face, and the characteristic information corresponding time；
Relating module, for the characteristic information passage time of the parameter value and driver to be associated, draws each driving
The driving habit data of member；
Grading module, scores the vehicle for the driving habit data according to each driver；
Pricing module, for carrying out vehicle insurance price to the vehicle according to the scoring.
9. a kind of vehicle insurance pricing server, including memory, processor and it is stored on the memory and can be in the processing
The computer program run on device, it is characterised in that realized described in the computing device during computer program claim 1 to
The step of method described in 7 any one.
10. a kind of computer-readable medium for the non-volatile program code that can perform with processor, it is characterised in that described
Program code makes any one of computing device claim 1-6 methods described.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201710429731.1A CN107292663A (en) | 2017-06-08 | 2017-06-08 | Vehicle insurance pricing method and device |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201710429731.1A CN107292663A (en) | 2017-06-08 | 2017-06-08 | Vehicle insurance pricing method and device |
Publications (1)
| Publication Number | Publication Date |
|---|---|
| CN107292663A true CN107292663A (en) | 2017-10-24 |
Family
ID=60096262
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN201710429731.1A Pending CN107292663A (en) | 2017-06-08 | 2017-06-08 | Vehicle insurance pricing method and device |
Country Status (1)
| Country | Link |
|---|---|
| CN (1) | CN107292663A (en) |
Cited By (10)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN107945311A (en) * | 2017-11-29 | 2018-04-20 | 深圳市轱辘车联数据技术有限公司 | A kind of method for early warning of dangerous driving behavior, device, storage medium and server |
| CN108256766A (en) * | 2018-01-17 | 2018-07-06 | 合肥工业大学 | A kind of car insurance accounting method based on dangerous driving behavior |
| CN109064233A (en) * | 2018-08-21 | 2018-12-21 | 北京深瞐科技有限公司 | Car insurance pricing method and its device, computer-readable medium |
| CN109617942A (en) * | 2018-10-22 | 2019-04-12 | 平安科技（深圳）有限公司 | Product data method for pushing, device, computer equipment and storage medium |
| CN110992193A (en) * | 2019-11-25 | 2020-04-10 | 泰康保险集团股份有限公司 | Vehicle premium calculation system |
| WO2020147391A1 (en) * | 2019-01-16 | 2020-07-23 | 平安科技（深圳）有限公司 | Driving proficiency evaluation method and apparatus, computer device and storage medium |
| JP2020190777A (en) * | 2019-05-17 | 2020-11-26 | ヤフー株式会社 | Information processing device, information processing method, and information processing program |
| CN112070553A (en) * | 2020-09-15 | 2020-12-11 | 成都雅信安科技服务有限公司 | Vehicle insurance pricing method and device based on vehicle-mounted data and assisted with insurance company |
| CN112597835A (en) * | 2020-12-11 | 2021-04-02 | 国汽(北京)智能网联汽车研究院有限公司 | Driving behavior evaluation method and device, electronic equipment and readable storage medium |
| JPWO2021095154A1 (en) * | 2019-11-13 | 2021-05-20 |
-
2017
- 2017-06-08 CN CN201710429731.1A patent/CN107292663A/en active Pending
Cited By (15)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN107945311A (en) * | 2017-11-29 | 2018-04-20 | 深圳市轱辘车联数据技术有限公司 | A kind of method for early warning of dangerous driving behavior, device, storage medium and server |
| CN108256766A (en) * | 2018-01-17 | 2018-07-06 | 合肥工业大学 | A kind of car insurance accounting method based on dangerous driving behavior |
| CN109064233A (en) * | 2018-08-21 | 2018-12-21 | 北京深瞐科技有限公司 | Car insurance pricing method and its device, computer-readable medium |
| CN109617942A (en) * | 2018-10-22 | 2019-04-12 | 平安科技（深圳）有限公司 | Product data method for pushing, device, computer equipment and storage medium |
| CN109617942B (en) * | 2018-10-22 | 2022-05-17 | 平安科技（深圳）有限公司 | Product data pushing method and device, computer equipment and storage medium |
| WO2020147391A1 (en) * | 2019-01-16 | 2020-07-23 | 平安科技（深圳）有限公司 | Driving proficiency evaluation method and apparatus, computer device and storage medium |
| JP2020190777A (en) * | 2019-05-17 | 2020-11-26 | ヤフー株式会社 | Information processing device, information processing method, and information processing program |
| JPWO2021095154A1 (en) * | 2019-11-13 | 2021-05-20 | ||
| WO2021095154A1 (en) * | 2019-11-13 | 2021-05-20 | 株式会社日立物流 | Driver point variation system, method, and program |
| JP7267449B2 (en) | 2019-11-13 | 2023-05-01 | 株式会社日立物流 | DRIVER POINT VARIATION SYSTEM, METHOD AND PROGRAM |
| JP7267449B6 (en) | 2019-11-13 | 2023-05-19 | ロジスティード株式会社 | DRIVER POINT VARIATION SYSTEM, METHOD AND PROGRAM |
| CN110992193A (en) * | 2019-11-25 | 2020-04-10 | 泰康保险集团股份有限公司 | Vehicle premium calculation system |
| CN110992193B (en) * | 2019-11-25 | 2023-05-16 | 泰康保险集团股份有限公司 | Vehicle premium calculation system |
| CN112070553A (en) * | 2020-09-15 | 2020-12-11 | 成都雅信安科技服务有限公司 | Vehicle insurance pricing method and device based on vehicle-mounted data and assisted with insurance company |
| CN112597835A (en) * | 2020-12-11 | 2021-04-02 | 国汽(北京)智能网联汽车研究院有限公司 | Driving behavior evaluation method and device, electronic equipment and readable storage medium |
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| CN107292663A (en) | Vehicle insurance pricing method and device | |
| CN104599545B (en) | For the driving states monitoring method in driving conditions, device and navigation equipment | |
| CN107161153A (en) | A kind of driving behavior methods of marking and device | |
| DE102012206410B4 (en) | TECHNOLOGY FOR CALCULATING THE REMAINING RANGE OF AN ELECTRIC VEHICLE | |
| CN112269359B (en) | Internet of things intelligent charging pile remote control system based on cloud platform | |
| CN108891411B (en) | Automatic passenger-riding-substituting parking control method | |
| CN109670970A (en) | A kind of driving behavior methods of marking, device and computer readable storage medium | |
| CN109406167B (en) | Method, apparatus, device and computer-readable storage medium for evaluating a vehicle | |
| CN105956548A (en) | Driver fatigue state detection method and device | |
| CN108446824A (en) | A kind of methods of risk assessment of driving behavior, device, equipment and storage medium | |
| CN105930771A (en) | Driving behavior grading method and device | |
| CN108682158A (en) | Video analysis and scoring method for early warning and system | |
| DE112018004705T5 (en) | INFORMATION PROCESSING DEVICE, INFORMATION PROCESSING SYSTEM, INFORMATION PROCESSING PROCESS AND PROGRAM | |
| CN113486261A (en) | Charging recommendation method and device based on big data analysis | |
| CN106504477A (en) | A kind of based on the fatigue driving determination methods of GPS, device and smart machine | |
| CN108090975A (en) | Parking management method and system, computer installation and readable storage medium storing program for executing | |
| CN107444404A (en) | A kind of evaluation method and device of driving behavior standard degree | |
| CN104063914A (en) | Terminal achieving driving risk management and use method thereof | |
| CN115953730A (en) | Intelligent traffic road surface running condition monitoring platform based on image processing technology | |
| CN108682157A (en) | Video analysis and method for early warning and system | |
| WO2018233086A1 (en) | Data analysis-based parking guidance system and method | |
| CN113581199A (en) | Vehicle control method and device | |
| CN110155069A (en) | Driver's state of mind monitoring method, device, storage medium and terminal device | |
| CN109344582A (en) | Authentication method, device and storage medium | |
| CN107153828A (en) | A kind of face identification method and device |
Legal Events
| Date | Code | Title | Description |
|---|---|---|---|
| PB01 | Publication | ||
| PB01 | Publication | ||
| SE01 | Entry into force of request for substantive examination | ||
| SE01 | Entry into force of request for substantive examination | ||
| RJ01 | Rejection of invention patent application after publication | ||
| RJ01 | Rejection of invention patent application after publication |
Application publication date: 20171024 |