CN105489021B - A kind of vehicle owner identification method and device based on user behavior data - Google Patents
A kind of vehicle owner identification method and device based on user behavior data Download PDFInfo
- Publication number
- CN105489021B CN105489021B CN201511029749.XA CN201511029749A CN105489021B CN 105489021 B CN105489021 B CN 105489021B CN 201511029749 A CN201511029749 A CN 201511029749A CN 105489021 B CN105489021 B CN 105489021B
- Authority
- CN
- China
- Prior art keywords
- user
- behavior
- identity
- car owner
- retrieval
- 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.)
- Active
Links
Classifications
-
- G—PHYSICS
- G08—SIGNALLING
- G08G—TRAFFIC CONTROL SYSTEMS
- G08G1/00—Traffic control systems for road vehicles
- G08G1/01—Detecting movement of traffic to be counted or controlled
- G08G1/017—Detecting movement of traffic to be counted or controlled identifying vehicles
Landscapes
- Physics & Mathematics (AREA)
- General Physics & Mathematics (AREA)
- Traffic Control Systems (AREA)
- Management, Administration, Business Operations System, And Electronic Commerce (AREA)
Abstract
The invention discloses a kind of vehicle owner identification method and devices based on user behavior data.The vehicle owner identification method based on user behavior data includes:Obtain the behavioral data of unknown identity user;The behavioral data is identified using vehicle owner identification device, whether the identity that the unknown identity user is confirmed according to recognition result is car owner, wherein, the vehicle owner identification device is determined based on the behavioral data of known identities user according to the training of setting dimension.The technical solution of the embodiment of the present invention provides a kind of high vehicle owner identification method of discrimination.
Description
Technical field
The present invention relates to intelligent identification technology field more particularly to a kind of vehicle owner identifications based on user behavior data
Method and device.
Background technology
With the fast development of internet and have the quick increase of vehicle number of users, with the relevant Internet service of vehicle by
Gradually it is accepted, such as:Gone on a journey with vehicle, carwash or Motor Maintenance inquiry or reservation etc. Internet services.In these and vehicle phase
In the Internet service of pass, car owner is the core of all services, especially in the promoting service of Internet service and user's development,
So confirming car owner's identity of user seems most important.
Nowadays, only certain customers can provide whether be car owner identity information, most of user do not provide identity letter
Breath, it is therefore desirable to obtain unknown identity user whether be car owner identity information.
The prior art does not provide can automatically and the method that accurately identifies user's car owner's identity so that car owner identity user
Discrimination it is very low, also just can not related service service be provided to the user based on car owner's identity of user.
Invention content
In view of this, the embodiment of the present invention provides a kind of vehicle owner identification method and dress based on user behavior data
It puts, to solve the technical issues of car owner's discrimination is relatively low in the prior art.
In a first aspect, an embodiment of the present invention provides a kind of vehicle owner identification method based on user behavior data, institute
The method of stating includes:
Obtain the behavioral data of unknown identity user;
The behavioral data is identified using vehicle owner identification device, the unknown identity is confirmed according to recognition result
Whether the identity of user is car owner, wherein, the behavioral data of the vehicle owner identification device based on known identities user is according to setting
Determine dimension training and determine.
Second aspect, the embodiment of the present invention additionally provide a kind of vehicle owner identification device based on user behavior data,
Described device includes:
Behavioral data acquisition module, for obtaining the behavioral data of unknown identity user;
Vehicle owner identification module, for the behavioral data to be identified using vehicle owner identification device, according to knowledge
Other result confirms whether the identity of the unknown identity user is car owner, wherein, the vehicle owner identification device is based on known body
The behavioral data of part user is determined according to the training of setting dimension.
Vehicle owner identification method and device provided in an embodiment of the present invention based on user behavior data, utilizes user's
Behavioral data carries out the identification of car owner's identity, identification car owner's identity that can be automatical and efficient, and improves vehicle owner identification
Accuracy when user is gone on a journey or inquired with vehicle related service with vehicle, can be directed to the identity of user, be lived using different popularizations
It is dynamic to attract user, the effect of popularization activity is improved, reduces and promotes cost.
Description of the drawings
By reading the detailed description made to non-limiting example made with reference to the following drawings, of the invention is other
Feature, objects and advantages will become more apparent upon:
Fig. 1 is the flow of a kind of vehicle owner identification method based on user behavior data that the embodiment of the present invention one provides
Figure;
Fig. 2 is a kind of flow of the vehicle owner identification method based on user behavior data provided by Embodiment 2 of the present invention
Figure;
Fig. 3 is the structure of a kind of vehicle owner identification device based on user behavior data that the embodiment of the present invention three provides
Figure.
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 limitation of the invention.It also should be noted that in order to just
Part related to the present invention rather than full content are illustrated only in description, attached drawing.
Embodiment one
Fig. 1 is the flow of a kind of vehicle owner identification method based on user behavior data that the embodiment of the present invention one provides
Figure.The present embodiment be applicable to want the unknown identity user of identification whether be car owner situation.This method can be by being based on user
The vehicle owner identification device of behavioral data performs, and wherein the device can be realized by software and/or hardware, with reference to figure 1,
Vehicle owner identification method provided in this embodiment based on user behavior data can specifically include as follows:
S110, the behavioral data for obtaining unknown identity user.
Wherein, the behavioral data is the user behavior acquired by internet or various application clients, mainly
It is the behavior that user uses network service, especially with whether having the associated behavior of vehicle.It can be determined by empirical analysis
Whether which user behavior is with having being associated with for vehicle close.
Preferably, behavioral data includes at least one of following:Retrieval behavior to map;Essential information point is carried out in map
Retrieval behavior;Bus routes retrieve behavior;Driving route retrieves behavior;Walking Route retrieves behavior;And underground route inspection
Suo Hangwei.
Preferably, essential information point relevant with vehicle can include:Gas station, automobile services, sale of automobile, 4S shops, vapour
Vehicle beauty, Motor Maintenance, automobile decoration, carwash, auto parts machinery and Vehicle Inspection field etc..It is carried out in map class application program
Above-mentioned term is inputted during essential information point retrieval and may be considered the retrieval behavior for carrying out essential information point.
Preferably, the behavioral data for obtaining unknown identity user can obtain unknown identity user in the range of certain time
Behavioral data and/or obtain the behavioral data of a certain number of unknown identity users, the specific rule that obtains is known with car owner's identity
It is identical that the training data of other device obtains rule.The behavioral data pair that the behavioral data of acquisition should be identified with vehicle owner identification device
It should.For example, the retrieval behavior of map and driving route retrieval behavior is identified in vehicle owner identification device, then unknown body is obtained
Part user's retrieves behavior to the retrieval behavior of map and driving route.
S120, the behavioral data is identified using vehicle owner identification device, according to confirming recognition result not
Whether the identity for knowing identity user is car owner, wherein, the behavioral data of the vehicle owner identification device based on known identities user
It is determined according to the training of setting dimension.
Wherein, the setting dimension is that the canonical parameter of vehicle can be reflected whether in behavioral data, these typical case's ginsengs
Number can also be trained to determine based on model by manually determining.For example, can with regard to behavioral data various aspects into
Row statistics, if the data of some dimension, between whether having the user of vehicle, difference is apparent, then the dimension can be used as training
The setting dimension of identifier.Otherwise, it is not useable for training identifier.For example, map application in use, user over the ground
This dimension of the access times of figure is found after being counted regardless of whether there is vehicle, can all use map, thus access times this
Difference unobvious of the dimension between car owner and non-car owners, then this dimension can not set to train vehicle owner identification device.
In the present embodiment, setting dimension preferably includes at least one of following:Retrieval number and/or number of days in map;
The retrieval number and/or number of days of essential information point;Bus routes retrieve number and/or number of days;Driving route retrieve number and/or
Number of days;Walking Route retrieves number and/or number of days;Underground route retrieves number and/or number of days;Each retrieval number is in total retrieval time
Accounting in number;Accounting of each retrieval number of days in always retrieval number of days.
The vehicle owner identification device is instructed based on the behavioral data for having confirmed that identity user according to above-mentioned at least one dimension
Practice and determine.Specifically, the behavioral data of the unknown identity user of acquisition is identified in vehicle owner identification device, according to identification
As a result the identity for judging unknown identity user is that car owner is also non-car owner.The statistical result of each setting dimension can be trained individually,
It preferably combines and is trained.
For example, vehicle owner identification device identification, if the retrieval number in user three months in map be more than 75 times and day
Number was not less than 60 days, and driving route retrieval number is not less than 50 times and retrieval number of days was not less than 50 days, driving route retrieval number
Accounting in always retrieval number is then identified as car owner's identity, is otherwise identified as non-car owner's identity higher than 65%.It obtains not
Know in identity user three months and behavior is retrieved to the retrieval behavior of map and driving route, known by vehicle owner identification device
Not, recognition result is that the retrieval number of the unknown identity user in map is 80 times and number of days is 72 days, driving route retrieval
Number is 60 times and retrieval number of days is 52 days, and driving route retrieves accounting of the number in always retrieval number higher than 65%, meets
Vehicle owner identification device confirms the condition of car owner's identity, then it is assumed that the corresponding identity of the unknown identity user is car owner.
The vehicle owner identification method based on user behavior data that the embodiment of the present invention one provides is known using car owner's identity
The behavioral data of the unknown identity user of acquisition is identified in other device, and the unknown identity user is determined according to recognition result
Identity whether be car owner, wherein, vehicle owner identification device is the behavioral data based on known identities user according to setting dimension
It is trained.The identity of user can be accurately identified by vehicle owner identification device, improves vehicle owner identification
Rate when user is gone on a journey or inquired with vehicle related service with vehicle, can be directed to the identity of user, be inhaled using different popularization activities
Family is quoted, improves the effect of popularization activity, reduces and promotes cost.
Embodiment two
The present embodiment provides a kind of vehicle owner identification side based on user behavior data based on above-described embodiment
Method.Fig. 2 is a kind of flow chart of the vehicle owner identification method based on user behavior data provided by Embodiment 2 of the present invention.Ginseng
Fig. 2 is examined, the vehicle owner identification method provided in this embodiment based on user behavior data can include as follows:
S210, the behavioral data for obtaining known identities user.
Illustratively, the behavioral data of known identities user is obtained, can obtain known identities user in preset time
A certain number of behavioral datas of behavioral data and/or acquisition known identities user in interval, specific prefixed time interval
It can be set with quantity according to actual conditions.Wherein, the behavioral data of acquisition includes at least one of following:Inspection to map
Suo Hangwei;The retrieval behavior of essential information point is carried out in map;Bus routes retrieve behavior;Driving route retrieves behavior;Walking
Route retrieves behavior;Underground route retrieves behavior.
Specifically, obtaining the behavioral data of known identities user can specifically include:It is obtained by the log-on message of user
User whether be car owner identity;Or, determine whether user is car owner's identity by the usage behavior of vehicle associated services;According to
Car owner's identity or non-car owner's identity obtain the behavioral data of corresponding user respectively.
Illustratively, confirm the identity that the mode of user identity can be provided by user in log-on message, it can also
User is encouraged to provide identity by the method rewarded with compensation, it can also be according to the usage behavior of vehicle associated services.Such as basis
The service condition of the chauffeurs such as windward driving application confirms whether user is car owner's identity.Car owner's data and non-car owner's data are obtained, point
The indescribably non-car owner's behavioral data in part in the part car owner's behavioral data and non-car owner's data in pick-up master data.Wherein extract
Car owner's behavioral data and non-car owner's behavioral data may be the same or different.
S220, the behavioral data of the known identities user is configured to car owner's user behavior data collection and non-car owner user
Behavioral data collection.
Specifically, car owner's behavioral data construction car owner user's row of a certain number of known car owner identity users can be extracted
For data set, the non-car owner's behavioral data for extracting a certain number of known non-car owner's identity users constructs non-car owner's user behavior number
According to collection.Specific quantity can be set according to actual conditions.
The training of S230, car owner's user behavior data collection and non-car owner's user behavior data collection as vehicle owner identification device
Data are trained vehicle owner identification device based on setting dimension, to determine the vehicle owner identification device.
Preferably, the vehicle owner identification device can be trained by machine learning system model, specific model
It can be selected according to actual conditions, such as trade-off decision tree, random forest (random forest) or decision vector machine
Deng.
Specifically, setting dimension can be including at least one of following:Retrieval number and/or number of days in map;Substantially
The retrieval number and/or number of days of information point;Bus routes retrieve number and/or number of days;Driving route retrieves number and/or day
Number;Walking Route retrieves number and/or number of days;Underground route retrieves number and/or number of days;Each retrieval number is in always retrieval number
In accounting;Accounting of each retrieval number of days in always retrieval number of days.By car owner's user behavior data collection and non-car owner's user behavior
Training data of the data set as vehicle owner identification device, the dimension based on setting, using machine learning system model to car owner
Identity recognizer is trained, to determine the vehicle owner identification device.
For example, non-car owner's identity user known to obtaining 200 known car owner's identity users and 200 used in three months
The total data that map class application program obtains, extraction wherein retrieve behavior number to the retrieval behavioral data of map, public bus network
According to, drive circuit retrieval behavioral data and subway line retrieve behavioral data as training data, according to the retrieval in map
Number and number of days, bus routes retrieval number and number of days, driving route retrieval number and number of days, underground route retrieval number and day
The dimension of the accounting of accounting, each retrieval number of days in always retrieval number of days of number, each retrieval number in always retrieval number, using certainly
Plan tree is trained vehicle owner identification device.The obtained result of training is:Each known car owner identity user is averaged in three months
Higher than 70 times, the retrieval number of days in map is more than 60 days retrieval number in map, and bus routes retrieval number is less than 40
Secondary and number of days is less than 20 days, and driving route retrieval number is higher than 55 times and number of days was higher than 45 days, and underground route retrieval number is less than
Less than 15 days, 57% of bus routes retrieval number less than total retrieval number, driving route retrieval number was higher than for 40 times and number of days
The 78% of total retrieval number, underground route retrieval number is less than the 57% of total retrieval number, and bus routes retrieval number of days is less than total
The 33% of number of days is retrieved, driving route retrieval number of days is higher than the 75% of total retrieval number of days, and underground route retrieval number of days is less than total inspection
The 25% of rope number of days.If setting meet driving route retrieval number higher than total retrieval number 78% and meet other arbitrary two
As a result user identity is car owner, if it is non-car owner to be unsatisfactory for the user identity to impose a condition.
S240, the behavioral data for obtaining unknown identity user.
S250, the behavioral data is identified using vehicle owner identification device, according to confirming recognition result not
Whether the identity for knowing identity user is car owner.
Vehicle owner identification method provided by Embodiment 2 of the present invention based on user behavior data, passes through body known to acquisition
Behavioral data construction car owner's user behavior data collection of part user and non-car owner's user behavior data collection, and by car owner's user behavior
Data set and non-car owner's user behavior data collection as vehicle owner identification device training data according to default dimension to car owner's body
Part identifier is trained so that the recognition result of vehicle owner identification device is more accurate.It is identified by vehicle owner identification device
Whether unknown identity user is car owner's identity, can be when user is gone on a journey or inquired with vehicle related service with vehicle, for user's
Identity attracts user using different popularization activities, improves the effect of popularization activity, reduces and promote cost.
Embodiment three
Fig. 3 is the structure of a kind of vehicle owner identification device based on user behavior data that the embodiment of the present invention three provides
Figure.The present embodiment be applicable to want the unknown identity user of identification whether be car owner situation.It is described to be based on user with reference to figure 3
The structure of the vehicle owner identification device of behavioral data can be specific as follows:
Behavioral data acquisition module 301, for obtaining the behavioral data of unknown identity user;
Vehicle owner identification module 302, for the behavioral data to be identified using vehicle owner identification device, according to
Recognition result confirms whether the identity of the unknown identity user is car owner, wherein, the vehicle owner identification device is based on known
The behavioral data of identity user is determined according to the training of setting dimension.
Further, described device can also include:
Known behavioral data acquisition module, for obtaining the behavioral data of known identities user;
Dataset construction module, for the behavioral data of the known identities user to be configured to car owner's user behavior data
Collection and non-car owner's user behavior data collection;
Training data determining module, for using car owner's user behavior data collection and non-car owner's user behavior data collection as vehicle
The training data of owner identification identifier is trained vehicle owner identification device based on setting dimension, to determine car owner's body
Part identifier.
Further, the behavioral data can include at least one of following:
Retrieval behavior to map;The retrieval behavior of essential information point is carried out in map;Bus routes retrieve behavior;It drives
Route retrieves behavior;Walking Route retrieves behavior;Underground route retrieves behavior.
Further, the setting dimension can include at least one of following:
Retrieval number and/or number of days in map;The retrieval number and/or number of days of essential information point;Bus routes are examined
Rope number and/or number of days;Driving route retrieves number and/or number of days;Walking Route retrieves number and/or number of days;Underground route
Retrieve the accounting of number and/or number of days, each retrieval number in always retrieval number;Each retrieval number of days accounting in always retrieval number of days
Than.
Further, the vehicle owner identification device can be trained by machine learning system model.
Further, the known behavioral data acquisition module can include:
Car owner's identity determination sub-module, for pass through the log-on message of user obtain user whether be car owner identity;Or,
By the usage behavior of vehicle associated services determine user whether be car owner identity;
Behavioral data acquisition submodule, for according to car owner's identity or non-car owner's identity, obtaining the row of corresponding user respectively
For data.
The vehicle owner identification device based on user behavior data that the embodiment of the present invention three provides, it is arbitrary real with the present invention
It applies the vehicle owner identification method based on user behavior data that example is provided and belongs to same inventive concept, can perform the present invention and appoint
The vehicle owner identification method based on user behavior data that meaning embodiment is provided has execution based on user behavior data
The corresponding function module of vehicle owner identification method and advantageous effect.The not technical detail of detailed description in the present embodiment, can
The vehicle owner identification method based on user behavior data provided referring to any embodiment of the present invention.
Note that it above are only presently preferred embodiments of the present invention and institute's application technology principle.It will be appreciated by those skilled in the art that
The present invention is not limited to specific embodiment described here, can carry out for a person skilled in the art various apparent variations,
It readjusts and substitutes without departing from protection scope of the present invention.Therefore, although being carried out by above example to the present invention
It is described in further detail, but the present invention is not limited only to above example, without departing from the inventive concept, also
It can include other more equivalent embodiments, and the scope of the present invention is determined by scope of the appended claims.
Claims (12)
- A kind of 1. vehicle owner identification method based on user behavior data, which is characterized in that including:Obtain the behavioral data of unknown identity user;The behavioral data is identified using vehicle owner identification device, the unknown identity user is confirmed according to recognition result Identity whether be car owner, wherein, the behavioral data of the vehicle owner identification device based on known identities user according to setting tie up Degree is trained and is determined;The behavioral data is the user behavior acquired by internet or various application clients, the user behavior packet Include the behavior that user uses network service.
- 2. according to the method described in claim 1, it is characterized in that, before the behavioral data for obtaining unknown identity user, also wrap It includes:Obtain the behavioral data of known identities user;The behavioral data of the known identities user is configured to car owner's user behavior data collection and non-car owner's user behavior data Collection;The training data of car owner's user behavior data collection and non-car owner's user behavior data collection as vehicle owner identification device, is based on Setting dimension is trained vehicle owner identification device, to determine the vehicle owner identification device.
- 3. according to the method described in claim 2, it is characterized in that, the behavioral data is comprising at least one of following:Retrieval behavior to map;The retrieval behavior of essential information point is carried out in map;Bus routes retrieve behavior;Driving route Retrieval behavior;Walking Route retrieves behavior;Underground route retrieves behavior.
- 4. according to the method described in claim 3, it is characterized in that, the setting dimension is including at least one of following:Retrieval number and/or number of days in map;The retrieval number and/or number of days of essential information point;Bus routes retrieval time Number and/or number of days;Driving route retrieves number and/or number of days;Walking Route retrieves number and/or number of days;Underground route is retrieved Number and/or number of days;Accounting of each retrieval number in always retrieval number;Accounting of each retrieval number of days in always retrieval number of days.
- 5. according to the method described in claim 2, it is characterized in that, the vehicle owner identification device passes through machine learning system mould Type is trained.
- 6. according to the method described in claim 2, it is characterized in that, the behavioral data for obtaining known identities user includes:By the log-on message of user obtain user whether be car owner identity;Or, the usage behavior by vehicle associated services Determine user whether be car owner identity;According to car owner's identity or non-car owner's identity, the behavioral data of corresponding user is obtained respectively.
- 7. a kind of vehicle owner identification device based on user behavior data, which is characterized in that including:Behavioral data acquisition module, for obtaining the behavioral data of unknown identity user;Vehicle owner identification module for the behavioral data to be identified using vehicle owner identification device, is tied according to identification Fruit confirms whether the identity of the unknown identity user is car owner, wherein, the vehicle owner identification device is used based on known identities The behavioral data at family is determined according to the training of setting dimension;The behavioral data is the user behavior acquired by internet or various application clients, the user behavior packet Include the behavior that user uses network service.
- 8. device according to claim 7, which is characterized in that further include:Known behavioral data acquisition module, for obtaining the behavioral data of known identities user;Dataset construction module, for by the behavioral data of the known identities user be configured to car owner's user behavior data collection and Non- car owner's user behavior data collection;Training data determining module, for using car owner's user behavior data collection and non-car owner's user behavior data collection as car owner's body The training data of part identifier is trained vehicle owner identification device based on setting dimension, to determine that car owner's identity is known Other device.
- 9. device according to claim 8, which is characterized in that the behavioral data includes at least one of following:Retrieval behavior to map;The retrieval behavior of essential information point is carried out in map;Bus routes retrieve behavior;Driving route Retrieval behavior;Walking Route retrieves behavior;Underground route retrieves behavior.
- 10. device according to claim 9, which is characterized in that the setting dimension includes at least one of following:Retrieval number and/or number of days in map;The retrieval number and/or number of days of essential information point;Bus routes retrieval time Number and/or number of days;Driving route retrieves number and/or number of days;Walking Route retrieves number and/or number of days;Underground route is retrieved Number and/or number of days;Accounting of each retrieval number in always retrieval number;Accounting of each retrieval number of days in always retrieval number of days.
- 11. device according to claim 8, which is characterized in that the vehicle owner identification device passes through machine learning system Model is trained.
- 12. device according to claim 8, which is characterized in that the known behavioral data acquisition module includes:Car owner's identity determination sub-module, for pass through the log-on message of user obtain user whether be car owner identity;Or, pass through The usage behavior of vehicle associated services determine user whether be car owner identity;Behavioral data acquisition submodule, for according to car owner's identity or non-car owner's identity, obtaining the behavior number of corresponding user respectively According to.
Priority Applications (1)
Application Number | Priority Date | Filing Date | Title |
---|---|---|---|
CN201511029749.XA CN105489021B (en) | 2015-12-31 | 2015-12-31 | A kind of vehicle owner identification method and device based on user behavior data |
Applications Claiming Priority (1)
Application Number | Priority Date | Filing Date | Title |
---|---|---|---|
CN201511029749.XA CN105489021B (en) | 2015-12-31 | 2015-12-31 | A kind of vehicle owner identification method and device based on user behavior data |
Publications (2)
Publication Number | Publication Date |
---|---|
CN105489021A CN105489021A (en) | 2016-04-13 |
CN105489021B true CN105489021B (en) | 2018-07-06 |
Family
ID=55675981
Family Applications (1)
Application Number | Title | Priority Date | Filing Date |
---|---|---|---|
CN201511029749.XA Active CN105489021B (en) | 2015-12-31 | 2015-12-31 | A kind of vehicle owner identification method and device based on user behavior data |
Country Status (1)
Country | Link |
---|---|
CN (1) | CN105489021B (en) |
Families Citing this family (7)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN107341166B (en) * | 2016-11-29 | 2020-03-24 | 安徽江淮汽车集团股份有限公司 | Recommendation method and system for vehicle-mounted APP |
CN107463941A (en) * | 2017-06-30 | 2017-12-12 | 百度在线网络技术(北京)有限公司 | A kind of vehicle owner identification method and device |
CN107656963A (en) * | 2017-08-11 | 2018-02-02 | 百度在线网络技术(北京)有限公司 | Vehicle owner identification method and device, computer equipment and computer-readable recording medium |
CN107403019B (en) * | 2017-08-15 | 2020-08-18 | 重庆邮电大学 | Vehicle owner identity recognition method based on mobile data |
CN108320582B (en) * | 2018-03-30 | 2020-01-24 | 合肥城市泊车投资管理有限公司 | Parking management system with remaining parking space counting function |
CN111275472A (en) * | 2018-12-04 | 2020-06-12 | 北京嘀嘀无限科技发展有限公司 | Model training method, user identification method, device and electronic equipment |
US11993270B2 (en) * | 2021-12-03 | 2024-05-28 | Bendix Commercial Vehicle Systems, Llc | System and method for driving style driver identity determination and control of vehicle functions |
Citations (6)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
KR20010056297A (en) * | 1999-12-14 | 2001-07-04 | 백 희 원 | Vehicles missing preventing method |
CN202275517U (en) * | 2011-10-18 | 2012-06-13 | 福建邦信信息科技有限公司 | Geographic position query and management system for electric vehicle or motorcycle |
CN104200666A (en) * | 2014-09-11 | 2014-12-10 | 叶春林 | Method and composition for controlling vehicles at any time |
CN104574982A (en) * | 2014-12-19 | 2015-04-29 | 欧阳秋娜 | Vehicle investigating system and investigating method thereof |
CN104702918A (en) * | 2015-03-27 | 2015-06-10 | 成都逸泊科技有限公司 | Intelligent video monitoring parking anti-theft system |
CN104717471A (en) * | 2015-03-27 | 2015-06-17 | 成都逸泊科技有限公司 | Distributed video monitoring parking anti-theft system |
-
2015
- 2015-12-31 CN CN201511029749.XA patent/CN105489021B/en active Active
Patent Citations (6)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
KR20010056297A (en) * | 1999-12-14 | 2001-07-04 | 백 희 원 | Vehicles missing preventing method |
CN202275517U (en) * | 2011-10-18 | 2012-06-13 | 福建邦信信息科技有限公司 | Geographic position query and management system for electric vehicle or motorcycle |
CN104200666A (en) * | 2014-09-11 | 2014-12-10 | 叶春林 | Method and composition for controlling vehicles at any time |
CN104574982A (en) * | 2014-12-19 | 2015-04-29 | 欧阳秋娜 | Vehicle investigating system and investigating method thereof |
CN104702918A (en) * | 2015-03-27 | 2015-06-10 | 成都逸泊科技有限公司 | Intelligent video monitoring parking anti-theft system |
CN104717471A (en) * | 2015-03-27 | 2015-06-17 | 成都逸泊科技有限公司 | Distributed video monitoring parking anti-theft system |
Also Published As
Publication number | Publication date |
---|---|
CN105489021A (en) | 2016-04-13 |
Similar Documents
Publication | Publication Date | Title |
---|---|---|
CN105489021B (en) | A kind of vehicle owner identification method and device based on user behavior data | |
CN106384273B (en) | Malicious bill-swiping detection system and method | |
CN104157133B (en) | The transport power enlivening situation online based on driver draws high system | |
Assemi et al. | Developing and validating a statistical model for travel mode identification on smartphones | |
CN107341166B (en) | Recommendation method and system for vehicle-mounted APP | |
CN106529711B (en) | User behavior prediction method and device | |
CN108009863A (en) | A kind of parking lot advertisement placement method and device | |
CN106205120B (en) | A kind of method and device for extracting road cross traffic limitation | |
CN102013163A (en) | Method for bus origin-destination (OD) investigation by using mobile phone base station data and operating vehicle global position system (GPS) data | |
CN106779116B (en) | Online taxi appointment customer credit investigation method based on time-space data mining | |
CN105335795B (en) | A kind of subway Public Transport Transfer problem automatic diagnosis method based on IC card data | |
CN104463420B (en) | The order processing system and method for OTA websites | |
CN107861957B (en) | Data analysis method and device | |
JP6692671B2 (en) | Driving evaluation server, driving evaluation method, and driving evaluation program | |
CN106530094A (en) | Vehicle insurance assessment system and assessment method | |
CN110020193A (en) | Information processing unit, information processing method and computer readable storage medium | |
CN109214827A (en) | A kind of method and apparatus that identification vehicle brush list deceives benefit behavior | |
JP2014106617A (en) | On-vehicle information providing device | |
CN107273456B (en) | A kind of accurate recognition methods of multi dimensional analysis intelligent terminal feature | |
CN103577541B (en) | The ranking fraud detection method and ranking fraud detection system of application program | |
CN111984853B (en) | Test driving report generation method and cloud server | |
CN110378745B (en) | Advertisement putting method and device and electronic equipment | |
CN107230384B (en) | Parking guidance system and method based on expected parking duration and weather information | |
CN113327336B (en) | Method and device for identifying people-vehicle relationship and electronic equipment | |
CN108961765A (en) | The approach control method and device in parking lot, readable storage medium storing program for executing |
Legal Events
Date | Code | Title | Description |
---|---|---|---|
C06 | Publication | ||
PB01 | Publication | ||
C10 | Entry into substantive examination | ||
SE01 | Entry into force of request for substantive examination | ||
GR01 | Patent grant | ||
GR01 | Patent grant |