CN104732062A - On-road user socialization attribute automatic judgment method based on characteristic event, movement behavior, traveling track and geographic position - Google Patents
On-road user socialization attribute automatic judgment method based on characteristic event, movement behavior, traveling track and geographic position Download PDFInfo
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- CN104732062A CN104732062A CN201510050098.6A CN201510050098A CN104732062A CN 104732062 A CN104732062 A CN 104732062A CN 201510050098 A CN201510050098 A CN 201510050098A CN 104732062 A CN104732062 A CN 104732062A
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Abstract
Provided is an on-road user socialization attribute automatic judgment method based on a characteristic event, a movement behavior, a traveling track and a geographic position. Adopted terminal equipment can collect GPS information of a user, meanwhile, a server side can obtain POI information, the GPS information and the POI information are combined, all the attributes of the user on the road can be judged, automatic judgment can be carried out according to increase of new users, and a socialization attribute can be added to the new users immediately after enough data are obtained. According to the method, the movement behavior, the traveling track, the geographic position and other social behaviors on the road are adopted as events, such as acceleration, turning, passing by a POI and traveling time. Therefore, each traveling track of the user is transformed to an ordered even set which is equivalent to a driving behavior track log, and all the traveling tracks of the user can be adopted as a log set of logs. Due to the fact that all on-road information of the user is recorded in the log set, the attribute of the user can be reflected objectively. Statistic analysis is carried out on the log set of the user, and attribute information of the user can be obtained according to attribute information corresponding to each event.
Description
Technical field
On the road in feature based event, motor behavior, driving trace, geographic position, user property automatic judging method is mainly used in an intelligent vehicle-carried apparatus field, for extracting the socialization attributes extraction of car-mounted terminal user.
Background technology
In the solution that user property judges on existing satisfying the need, all that some Statistics-Based Method carry out user behavior and analyze, and all relate in all solutions motor behavior, geographic position, driving trace one of them aspect carry out analyzing the determined property of user.
Motor behavior judges that user property is the motor behavior being obtained user by various car-mounted terminal, such as obtain the behaviors such as the acceleration of vehicle, deceleration, hypervelocity, parking, turning, whether carry out statistical study to behavior above and show whether this user is safe driving behavior, then providing this user is safe driving attribute.Driving trace judge user property be by car-mounted terminal to obtain in the driving behavior process of user each user the road of process, duration and driving mileage, all driving traces are added up, judge whether this user belongs to frequent fatigue driving, then provide some other attributes of this user.Geographic position judge user property be by car-mounted terminal to obtain in user driving procedure the POI information of process, such as often can stop in kindergarten, count often passed POI information, just can analyze this user's such as be the attribute of a head of a family.
But above scheme all exists many defects: first aspect, and the attribute of user is various, and obtains the little attribute of user within above scheme, obtain user property not comprehensive.Second aspect, the attribute of user is not automatic mark, and operation is each time more scattered.Due to above defect, the attribute of the car owner obtained can not well be utilized.
Summary of the invention
The terminal device that the present invention adopts can collect the GPS information of user, the information of POI can be obtained at server end simultaneously, combined by both, user's all properties on the way can be judged, and automatically can be judged according to the increase of new user, add attribute just can at once after having had enough data new user.
The present invention treats as event the motor behavior on road, driving trace, geographic position and other social actions, such as, accelerates, turns, passes by POI, running time etc.So just the driving trace each time of user is changed in order to an orderly event sets, be equivalent to one section of driving behavior trace logs, all driving traces of such user just can as pieces of daily record set.The information on all roads of this user due to daily record set record, so objectively can react the attribute of this user.Statistical study is carried out to the daily record collection of user, just can obtain the attribute information of this user at the attribute information corresponding according to each event.
The step of above correspondence is as follows:
A, the upper all motor behaviors that satisfy the need, driving trace, geographic position and other socialization information all provide corresponding community set.
B, evented log processing is all done to each driving trace of user, obtain the collection of a daily record.
C, text process is carried out to daily record collection, adopt the disposal route of daily record to process daily record collection.
The daily record set pair of d, the 3rd step process answers the community set of the 1st step, just can judge the property set of this user.
Compared with prior art, technique scheme has following innovative point and beneficial effect:
A, the present invention comprise motor behavior, geographic position, driving trace and other socializing factors to all behaviors that user road can produce to take into account, so more comprehensive to the judgement attribute of user.
B, the present invention be with event represent all above behavior, so be all identical to the judgement of all behaviors, overcome because the error of the determined property caused is partial in behavior.
Accompanying drawing explanation
Fig. 1 is process flow diagram of the present invention, can see the attribute of a judgement user, needs to carry out a lot of preprocessing process, comprises to each event flag attribute and to driving process text.Text process can take some general methods, just can export the property value of user.
Embodiment
Specific embodiment of the invention scheme is as follows: the user data got has: gps data, speed data.The precision of GPS is within 20 meters, can road accurately in consumer positioning driving process and neighbouring POI by GPS.Obtain tangential acceleration information and the normal acceleration information of this user according to velocity information, can judge whether this user belongs to anxious acceleration, zig zag, judge whether user the information such as exceeds the speed limit simultaneously.Motor behavior altogether has the event such as start, shutdown, acceleration, deceleration, turning, anxious acceleration, anxious deceleration, zig zag, jogging, hypervelocity.Driving trace comprise distance travelled, running time, average velocity, respectively through how many roads, respectively through events such as how many bridges.Geographic position comprises the events such as bridge, refuelling station, CBD, school, refuelling station, tourist attractions, wherein often kind have again through with stop two states.Other socializing factors comprise weather condition, pollution condition, festivals or holidays the event such as situation.All events one have 93 kinds.Each event average can have 7.4 socialization attributes, after the driving trace of user was more than 30 days, the user property judged through method of the present invention will tend towards stability substantially, that is, through the statistics of 30 days, the socialization attribute of this user will be judged out.
Claims (8)
1. user's socialization attribute automatic judging method on the road in feature based event, motor behavior, driving trace, geographic position, comprises evented process, text process and according to text-processing user property.
2. user behavior on evented process road according to claim 1, is characterized in that the motor behavior to user, driving trace, geographic position is normalized, make to judge that attribute becomes simple.
3. evented process according to claim 2, is characterized in that the storage containing evented process, stores the various actions on user road with simple, single event.
4. according to claim 3 single evented, it is characterized in that the complexity alleviating process.
5. text process according to claim 1, is characterized in that carrying out text to all event sets, is to want to utilize ripe text disposal methods event.
6. text processing scheme according to claim 1, is characterized in that there has been the scheme of comparative maturity.
7. attribute according to claim 1 is the socialization attribute of user, it is characterized in that carrying out operation judges socialization attribute out on the run.
8. deterministic process according to claim 1 is automatic decision, it is characterized in that using terminal device to exceed certain time limit as user, automatically can judge the socialization attribute of user in systems in which.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201510050098.6A CN104732062A (en) | 2015-01-30 | 2015-01-30 | On-road user socialization attribute automatic judgment method based on characteristic event, movement behavior, traveling track and geographic position |
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| Application Number | Priority Date | Filing Date | Title |
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| CN201510050098.6A CN104732062A (en) | 2015-01-30 | 2015-01-30 | On-road user socialization attribute automatic judgment method based on characteristic event, movement behavior, traveling track and geographic position |
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| CN104732062A true CN104732062A (en) | 2015-06-24 |
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Cited By (4)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN104933157A (en) * | 2015-06-26 | 2015-09-23 | 百度在线网络技术（北京）有限公司 | Method and device used for obtaining user attribute information, and server |
| CN105610963A (en) * | 2016-01-19 | 2016-05-25 | 上海语镜汽车信息技术有限公司 | In-vehicle information service method and system |
| CN106383903A (en) * | 2016-09-30 | 2017-02-08 | 山东瀚岳智能科技股份有限公司 | Digest information generation method and system of motion trajectory |
| CN107543557A (en) * | 2016-06-29 | 2018-01-05 | 百度在线网络技术（北京）有限公司 | A kind of method and apparatus for carrying out Personalized Navigation |
-
2015
- 2015-01-30 CN CN201510050098.6A patent/CN104732062A/en active Pending
Cited By (5)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN104933157A (en) * | 2015-06-26 | 2015-09-23 | 百度在线网络技术（北京）有限公司 | Method and device used for obtaining user attribute information, and server |
| CN105610963A (en) * | 2016-01-19 | 2016-05-25 | 上海语镜汽车信息技术有限公司 | In-vehicle information service method and system |
| CN107543557A (en) * | 2016-06-29 | 2018-01-05 | 百度在线网络技术（北京）有限公司 | A kind of method and apparatus for carrying out Personalized Navigation |
| CN106383903A (en) * | 2016-09-30 | 2017-02-08 | 山东瀚岳智能科技股份有限公司 | Digest information generation method and system of motion trajectory |
| CN106383903B (en) * | 2016-09-30 | 2018-06-12 | 山东瀚岳智能科技股份有限公司 | The summary info generation method and system of movement locus |
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| WD01 | Invention patent application deemed withdrawn after publication |
Application publication date: 20150624 |
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| WD01 | Invention patent application deemed withdrawn after publication |