CN108645422A - A kind of analysis method, system and the device of vehicle user behavioural characteristic - Google Patents
A kind of analysis method, system and the device of vehicle user behavioural characteristic Download PDFInfo
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- CN108645422A CN108645422A CN201810635656.9A CN201810635656A CN108645422A CN 108645422 A CN108645422 A CN 108645422A CN 201810635656 A CN201810635656 A CN 201810635656A CN 108645422 A CN108645422 A CN 108645422A
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- Prior art keywords
- vehicle
- behavioural characteristic
- vehicle user
- user
- running information
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- G—PHYSICS
- G01—MEASURING; TESTING
- G01C—MEASURING DISTANCES, LEVELS OR BEARINGS; SURVEYING; NAVIGATION; GYROSCOPIC INSTRUMENTS; PHOTOGRAMMETRY OR VIDEOGRAMMETRY
- G01C21/00—Navigation; Navigational instruments not provided for in groups G01C1/00 - G01C19/00
- G01C21/26—Navigation; Navigational instruments not provided for in groups G01C1/00 - G01C19/00 specially adapted for navigation in a road network
- G01C21/34—Route searching; Route guidance
- G01C21/3453—Special cost functions, i.e. other than distance or default speed limit of road segments
- G01C21/3484—Personalized, e.g. from learned user behaviour or user-defined profiles
Abstract
The invention discloses a kind of analysis method, system and the devices of vehicle user behavioural characteristic, including：The running information of collection vehicle；According to running information, the traffic route of vehicle is obtained；Traffic route is input in trained behavioural characteristic model, the probability description of the behavioural characteristic of vehicle user is obtained, with the stroke message for recommending to be consistent with behavioural characteristic for vehicle user.The running information of the application collection vehicle first, and the traffic route of vehicle is obtained according to running information, then traffic route is input in the behavioural characteristic model (having trained) based on deep learning, to obtain vehicle user behavioural characteristic probability description (behavioural characteristic for describing maximum probability), and then recommend the stroke message that is consistent with behavioural characteristic for vehicle user.As it can be seen that the application actively can recommend more rational stroke according to the behavioural characteristic of vehicle user, the trip of user is facilitated, the experience effect of user is preferable.
Description
Technical field
The present invention relates to deep learning fields, more particularly to a kind of analysis method, the system of vehicle user behavioural characteristic
And device.
Background technology
Currently, vehicle uses function classification according to it, the plurality of classes such as private car, taxi and bus can be divided into.
Using the different vehicle of function, the behavioural characteristic of vehicle user is mostly different, for example private car user's Mon-Fri has admittedly
The daily starting point of fixed route on and off duty, taxi user and terminal overlap but traffic path is not fixed, and bus is used
The daily traffic path in family is fixed.But terminal system in the prior art can only passively receive the instruction of user, to complete phase
The stroke planning answered can not recommend more rational stroke according to the behavioural characteristic of vehicle user, cause the trip of user inadequate
Convenient, the experience effect of user is poor.
Therefore, how to provide it is a kind of solve above-mentioned technical problem scheme be that those skilled in the art needs to solve at present
The problem of.
Invention content
The object of the present invention is to provide a kind of analysis method, system and the devices of vehicle user behavioural characteristic, can be actively
Recommend more rational stroke according to the behavioural characteristic of vehicle user, facilitates the trip of user, the experience effect of user is preferable.
In order to solve the above technical problems, the present invention provides a kind of analysis methods of vehicle user behavioural characteristic, including：
The running information of collection vehicle；
According to the running information, the traffic route of the vehicle is obtained；
The traffic route is input in trained behavioural characteristic model, the behavioural characteristic of vehicle user is obtained
Probability description, with the stroke message for recommending to be consistent with the behavioural characteristic for the vehicle user.
Preferably, the running information includes license plate number, vehicle location and running time.
Preferably, described according to the running information, the process for obtaining the traffic route of the vehicle is specially：
According to the running information determine the starting point of the vehicle, the departure time, terminal, the end time, by way of position,
Stopping in transit position and residence time, to obtain the traffic route of the vehicle.
Preferably, which further includes：
Using the license plate number of the vehicle as index entry, running information, traffic route and the vehicle of the vehicle are recorded
The probability description of the behavioural characteristic of user；
When collecting new running information, judges to whether there is in existing index entry and be wrapped in the new running information
The license plate number contained；
If in the presence of new record information is added in the existing record information of the license plate number；If being not present, for the vehicle
The trade mark newly indexes.
Preferably, which further includes：
White list is added in the vehicle user that will have agreed to the record information of authorised vehicles, is located at institute in order to which official mission obtains
State the corresponding vehicle registration information of vehicle user in white list.
Preferably, which further includes：
Receive evaluation of the vehicle user for the stroke message of recommendation；
The personal like that the vehicle user is obtained according to the evaluation is that the vehicle user is recommended and its row with the later stage
It is characterized and stroke message that personal like is consistent.
In order to solve the above technical problems, the present invention also provides a kind of analysis systems of vehicle user behavioural characteristic, including：
Information acquisition unit is used for the running information of collection vehicle；
Route acquiring unit, for according to the running information, obtaining the traffic route of the vehicle；
Behavior description unit obtains vehicle for the traffic route to be input in trained behavioural characteristic model
The probability description of the behavioural characteristic of user, to recommend the stroke being consistent with the behavioural characteristic to disappear for the vehicle user
Breath.
Preferably, the running information includes license plate number, vehicle location and running time.
Preferably, which further includes：
Stroke evaluation unit, for receiving evaluation of the vehicle user for the stroke message of recommendation；
Like acquiring unit, the personal like for obtaining the vehicle user according to the evaluation, is described with the later stage
Vehicle user recommends the stroke message being consistent with its behavioural characteristic and personal like.
In order to solve the above technical problems, the present invention also provides a kind of analytical equipments of vehicle user behavioural characteristic, including：
Memory, for storing computer program；
Processor realizes the analysis side of any of the above-described kind of vehicle user behavioural characteristic when for executing the computer program
The step of method.
The present invention provides a kind of analysis methods of vehicle user behavioural characteristic, including：The running information of collection vehicle；Root
According to running information, the traffic route of vehicle is obtained；Traffic route is input in trained behavioural characteristic model, vehicle is obtained
The probability description of the behavioural characteristic of user, with the stroke message for recommending to be consistent with behavioural characteristic for vehicle user.
The running information of the application collection vehicle first, and according to the traffic route of running information acquisition vehicle, then will
Traffic route is input in the behavioural characteristic model (having trained) based on deep learning, to which the behavior for obtaining vehicle user is special
The probability description (behavioural characteristic for describing maximum probability) of sign, and then be consistent with behavioural characteristic for vehicle user recommendation
Stroke message.As it can be seen that the application actively can recommend more rational stroke according to the behavioural characteristic of vehicle user, user is facilitated
Trip, the experience effect of user is preferable.
The present invention also provides a kind of analysis systems and device of vehicle user behavioural characteristic, have with above-mentioned analysis method
Identical advantageous effect.
Description of the drawings
It to describe the technical solutions in the embodiments of the present invention more clearly, below will be to institute in the prior art and embodiment
Attached drawing to be used is needed to be briefly described, it should be apparent that, the accompanying drawings in the following description is only some implementations of the present invention
Example, for those of ordinary skill in the art, without creative efforts, can also obtain according to these attached drawings
Obtain other attached drawings.
Fig. 1 is a kind of flow chart of the analysis method of vehicle user behavioural characteristic provided by the invention；
Fig. 2 is a kind of structural schematic diagram of the analysis system of vehicle user behavioural characteristic provided by the invention.
Specific implementation mode
Core of the invention is to provide a kind of analysis method, system and the device of vehicle user behavioural characteristic, can be actively
Recommend more rational stroke according to the behavioural characteristic of vehicle user, facilitates the trip of user, the experience effect of user is preferable.
In order to make the object, technical scheme and advantages of the embodiment of the invention clearer, below in conjunction with the embodiment of the present invention
In attached drawing, technical scheme in the embodiment of the invention is clearly and completely described, it is clear that described embodiment is
A part of the embodiment of the present invention, instead of all the embodiments.Based on the embodiments of the present invention, those of ordinary skill in the art
The every other embodiment obtained without making creative work, shall fall within the protection scope of the present invention.
Fig. 1 is please referred to, Fig. 1 is a kind of flow chart of the analysis method of vehicle user behavioural characteristic provided by the invention.
The analysis method can be applied to the computer applied algorithm of terminal, including：
Step S1：The running information of collection vehicle；
It should be noted that the application is under the premise of user has agreed to, the running information of user's vehicle is acquired.
Specifically, the running information of the application collection vehicle, to obtain the traffic route of vehicle.Such as the vehicle of collection vehicle
The trade mark：The video or image for obtaining the license plate number containing vehicle in preventing road monitoring system first, then accordingly pass through video location
The license plate number of technology or image recognition technology extraction vehicle；Alternatively, the navigation Service that the license plate number for obtaining vehicle first is registered
Then text message containing license plate number in system identifies the license plate number in text message by text recognition technique.
The for another example vehicle location of collection vehicle：The video of vehicle or the camera of image are collected in preventing road monitoring system
Installation site, the vehicle location as vehicle；Alternatively, the navigation service system that the license plate number of vehicle registered is for vehicle
Positioning in real time, the vehicle location as vehicle.The for another example running time of collection vehicle：Collect the video or image of vehicle
The timestamp that the registered navigation service system of the license plate number of preventing road monitoring system or vehicle provides, when driving as vehicle
Between.Therefore, the above running information combines it is found that the location information of vehicle in the specific time.
Step S2：According to running information, the traffic route of vehicle is obtained；
Specifically, according to the running information of the vehicle of acquisition, the traffic route of vehicle is obtained.When vehicle use function not
Meanwhile the function that corresponding traffic route is completed generally also differs.For example, when vehicle is private car, morning 7:30-8:
30 or so time, vehicle are travelled from place A1 to place A2, afternoon 5:30-6:00 or so time, vehicle is from place A2 rows
It sails to place A1, then the traffic route between place A1 and place A2 is generally the route on and off duty of vehicle user；When vehicle is
When bus, vehicle is since place B1 beginnings, successively by positions such as place B2, B3, by way of place do not repeat and every
The residence time in a place is shorter (3min or so), then this section of traffic route is generally fixed bus routes.
Step S3：Traffic route is input in trained behavioural characteristic model, the behavior for obtaining vehicle user is special
The probability description of sign, with the stroke message for recommending to be consistent with behavioural characteristic for vehicle user.
Specifically, it was known that the use function of vehicle is different, the function that corresponding traffic route is completed generally also not phase
Together, so, the application can pass through the traffic route of vehicle, the anti-use function of deducing vehicle, such as a vehicle morning 7:
30-8:30 or so time travels from place A1 to place A2, afternoon 5:30-6:00 or so time, from place A2 travel to
Place A1, thus it is speculated that the traffic route gone out between place A1 and place A2 is the route on and off duty of vehicle user, and then deduces this
Vehicle is private car.
Based on this, the application trains the behavioural characteristic model based on deep learning in advance：It initially sets up according to user's vehicle
Traffic route can deduce user behavior characteristics (for example, the CompanyAddress of private car user, home address, on and off duty
Route and personal lifestyle hobby etc.；Home address, groundwork region and personal lifestyle hobby of taxi user etc.；Public vapour
Rise station, terminus and bus routes etc. when the working of automobile-used family) behavioural characteristic model, then by collection it is a large amount of it is related respectively
The data of the traffic route of kind vehicle user are input to behavioural characteristic model, to be trained to behavioural characteristic model.
On the basis of behavioural characteristic model training is good, the traffic route of the vehicle of acquisition is input to behavior spy by the application
It levies in model, to obtain the output of behavioural characteristic model：The probability description of the behavioural characteristic of vehicle user (describes maximum
The behavioural characteristic of probability), such as the fixed route on and off duty of private car user's Mon-Fri, weekend fixed training class road
Line, personal consumption route of festivals or holidays (embodying its personal lifestyle hobby) etc.；The bus or train route line that goes out of taxi user (embodies its family
Address and groundwork region), personal consumption route etc.；Bus routes etc. when bus user goes to work.
As it can be seen that by the probability description of the behavioural characteristic of vehicle user it is found that the use function and vehicle owning user of vehicle
Behavioural characteristic, the application can be to recommend the stroke message that is consistent with its behavioural characteristic for vehicle user.For example, being private savings
Recommend more preferably working route in automobile-used family (distance is shorter and/or traffic is more smooth)；Known private car user is in afternoon three at weekend
Point is liked drinking coffee in one and the closer coffee shop of home address distance, then nearby evaluates a better coffee for its recommendation
The coffee Room；Known private car user likes scenery with hills and waters scenic spot in festivals or holidays and plays, then recommends the scenery with hills and waters of festivals or holidays to play place for it；
Recommend the Condoms such as Catering Area and the recreation area in its groundwork region for taxi user；It is used for bus
Recommend the various Condoms near the terminus of bus in family.
It is understood that the application is after obtaining the stroke message that is consistent with the behavioural characteristic of vehicle user, Ying
Before vehicle user executes the stroke planning of itself next time, for vehicle user (having ordered the recommendation service of this stroke) recommendation and its
The stroke message that behavioural characteristic is consistent, it is for reference.As it can be seen that the application can be actively according to the behavioural characteristic of vehicle user
Recommend more rational stroke, facilitates the trip of user, the experience effect of user is preferable.
The present invention provides a kind of analysis methods of vehicle user behavioural characteristic, including：The running information of collection vehicle；Root
According to running information, the traffic route of vehicle is obtained；Traffic route is input in trained behavioural characteristic model, vehicle is obtained
The probability description of the behavioural characteristic of user, with the stroke message for recommending to be consistent with behavioural characteristic for vehicle user.
The running information of the application collection vehicle first, and according to the traffic route of running information acquisition vehicle, then will
Traffic route is input in the behavioural characteristic model (having trained) based on deep learning, to which the behavior for obtaining vehicle user is special
The probability description (behavioural characteristic for describing maximum probability) of sign, and then be consistent with behavioural characteristic for vehicle user recommendation
Stroke message.As it can be seen that the application actively can recommend more rational stroke according to the behavioural characteristic of vehicle user, user is facilitated
Trip, the experience effect of user is preferable.
On the basis of the above embodiments：
As a kind of preferred embodiment, running information includes license plate number, vehicle location and running time.
Specifically, the running information of the application collection vehicle may include license plate number, vehicle location and running time, specifically
Acquisition mode please refer to above-described embodiment, details are not described herein by the application.In addition to this, the running information of vehicle can also wrap
The information such as the travel distance (as unit of kilometer) of vehicle are included, the application is not particularly limited herein, according to actual conditions
It is fixed.
As a kind of preferred embodiment, according to running information, the process for obtaining the traffic route of vehicle is specially：
According to running information determine the starting point of vehicle, the departure time, terminal, the end time, by way of position, stopping in transit
Position and residence time, to obtain the traffic route of vehicle.
Specifically, the identity information of vehicle and vehicle owning user can be determined according to the license plate number of vehicle.According to vehicle
Vehicle location and running time, it may be determined that vehicle daily departure time and vehicle (go out in the location of departure time
Send out point), the location of between can equally determining vehicle daily end time and vehicle at the end (terminal)；When follow
Between to the end time, according to the vehicle location of vehicle can also determine vehicle by way of position, general vehicle user drives to go on a journey
Purpose be destined to selected place and complete stroke planning, so vehicle user can by way of certain positions stop, i.e. basis
The vehicle location of vehicle and running time can also determine stopping in transit position and the residence time of vehicle.
To sum up, the application summarizes information above, the description of the traffic route as vehicle.
As a kind of preferred embodiment, which further includes：
Using the license plate number of vehicle as index entry, the running information of vehicle, the behavior spy of traffic route and vehicle user are recorded
The probability description of sign；
When collecting new running information, judge in existing index entry with the presence or absence of including in new running information
License plate number；
If in the presence of new record information is added in the existing record information of the license plate number；If being not present, for the vehicle
The trade mark newly indexes.
Further, it is contemplated that the license plate number of vehicle is unique, can represent the identity of vehicle and vehicle owning user
Information, thus the application using the license plate number of vehicle as index entry, record vehicle various information (such as the running information of vehicle,
The probability description of the behavioural characteristic of traffic route and vehicle user).
When collect new running information (may be the new running information that the vehicle that had recorded generates, it is also possible to
The running information that the vehicle that did not recorded generates) when, judge in existing index entry with the presence or absence of including in new running information
License plate number, and if it exists, illustrate that collected new running information belongs to the vehicle recorded, then in the existing note of the vehicle
Record one record information of addition in information；If being not present, illustrate that collected new running information is the vehicle production not recorded
Raw running information creates a record information then using the license plate number of the vehicle as index entry.
As a kind of preferred embodiment, which further includes：
White list is added in the vehicle user that will have agreed to the record information of authorised vehicles, is located in vain in order to which official mission obtains
The corresponding vehicle registration information of vehicle user in list.
Further, the information leakage of vehicle user, the application pass through all privacy informations of user in order to prevent
Secrecy processing prevents the direct leakage of data from leading to the privacy leakage of individual subscriber.In addition, the application can also be according to user
The wish of people, will have agreed to the record information of authorised vehicles vehicle user be added white list so that official mission (mandate it is legal
User) the corresponding vehicle registration information of vehicle user in white list can be obtained, it prevents from illegally obtaining information of vehicles.
In addition, the application can also be in the case where police agencies allow, during special crime dramas, according to the non-daily of vehicle
Behavior quick lock in suspect vehicle, crime clue of driving is provided for police agencies.
As a kind of preferred embodiment, which further includes：
Receive evaluation of the vehicle user for the stroke message of recommendation；
The personal like that vehicle user is obtained according to evaluation recommends and its behavioural characteristic and individual by vehicle user of the later stage
Like the stroke message being consistent.
Further, it is contemplated that vehicle user may and lose interest in for the stroke message of system recommendation, so this Shen
It please can also provide evaluation feedback area after recommending vehicle user stroke message for vehicle user, be used for receiving vehicle
Evaluation of the family for the stroke message of recommendation, so that it is determined that whether vehicle user is interested in the stroke message of system recommendation,
And then learn the personal like of vehicle user, realize that the later stage is that vehicle user recommendation is not only consistent with its behavioural characteristic, also with
The stroke message that its personal like is consistent, makes the experience effect of user more preferably.
Fig. 2 is please referred to, Fig. 2 is a kind of structural representation of the analysis system of vehicle user behavioural characteristic provided by the invention
Figure.
The analysis system includes：
Information acquisition unit 1 is used for the running information of collection vehicle；
Route acquiring unit 2, for according to running information, obtaining the traffic route of vehicle；
Behavior description unit 3 obtains vehicle use for traffic route to be input in trained behavioural characteristic model
The probability description of the behavioural characteristic at family, with the stroke message for recommending to be consistent with behavioural characteristic for vehicle user.
As a kind of preferred embodiment, running information includes license plate number, vehicle location and running time.
As a kind of preferred embodiment, which further includes：
Stroke evaluation unit, for receiving evaluation of the vehicle user for the stroke message of recommendation；
Like acquiring unit, the personal like for obtaining vehicle user according to evaluation recommends by vehicle user of the later stage
The stroke message being consistent with its behavioural characteristic and personal like.
The introduction of system provided by the present application please refers to above method embodiment, and details are not described herein by the application.
The present invention also provides a kind of analytical equipments of vehicle user behavioural characteristic, including：
Memory, for storing computer program；
Processor realizes the analysis method of any of the above-described kind of vehicle user behavioural characteristic when for executing computer program
Step.
The introduction of device provided by the present application please refers to above method embodiment, and details are not described herein by the application.
It should also be noted that, in the present specification, the terms "include", "comprise" or its any other variant are intended to contain
Lid non-exclusive inclusion, so that the process, method, article or equipment including a series of elements is not only wanted including those
Element, but also include other elements that are not explicitly listed, or further include for this process, method, article or equipment
Intrinsic element.In the absence of more restrictions, the element limited by sentence "including a ...", it is not excluded that
There is also other identical elements in process, method, article or equipment including the element.
The foregoing description of the disclosed embodiments enables those skilled in the art to implement or use the present invention.
Various modifications to these embodiments will be apparent to those skilled in the art, as defined herein
General Principle can be realized in other embodiments without departing from the spirit or scope of the present invention.Therefore, of the invention
It is not intended to be limited to the embodiments shown herein, and is to fit to and the principles and novel features disclosed herein phase one
The widest range caused.
Claims (10)
1. a kind of analysis method of vehicle user behavioural characteristic, which is characterized in that including：
The running information of collection vehicle；
According to the running information, the traffic route of the vehicle is obtained；
The traffic route is input in trained behavioural characteristic model, the probability of the behavioural characteristic of vehicle user is obtained
Description, with the stroke message for recommending to be consistent with the behavioural characteristic for the vehicle user.
2. the analysis method of vehicle user behavioural characteristic as described in claim 1, which is characterized in that the running information includes
License plate number, vehicle location and running time.
3. the analysis method of vehicle user behavioural characteristic as claimed in claim 2, which is characterized in that described according to the driving
Information, the process for obtaining the traffic route of the vehicle are specially：
According to the running information determine the starting point of the vehicle, the departure time, terminal, the end time, by way of position, on the way
Stop place and residence time, to obtain the traffic route of the vehicle.
4. the analysis method of vehicle user behavioural characteristic as claimed in claim 2, which is characterized in that the analysis method is also wrapped
It includes：
Using the license plate number of the vehicle as index entry, running information, traffic route and the vehicle user of the vehicle are recorded
Behavioural characteristic probability description；
When collecting new running information, judge in existing index entry with the presence or absence of including in the new running information
License plate number；
If in the presence of new record information is added in the existing record information of the license plate number；If being not present, for the license plate number
Newly index.
5. the analysis method of vehicle user behavioural characteristic as claimed in claim 4, which is characterized in that the analysis method is also wrapped
It includes：
White list is added in the vehicle user that will have agreed to the record information of authorised vehicles, in order to which official mission obtains positioned at described white
The corresponding vehicle registration information of vehicle user in list.
6. the analysis method of vehicle user behavioural characteristic as described in any one in claim 1-5, which is characterized in that the analysis side
Method further includes：
Receive evaluation of the vehicle user for the stroke message of recommendation；
The personal like that the vehicle user is obtained according to the evaluation is that the vehicle user is recommended and its behavior is special with the later stage
The stroke message that sign and personal like are consistent.
7. a kind of analysis system of vehicle user behavioural characteristic, which is characterized in that including：
Information acquisition unit is used for the running information of collection vehicle；
Route acquiring unit, for according to the running information, obtaining the traffic route of the vehicle；
Behavior description unit obtains vehicle use for the traffic route to be input in trained behavioural characteristic model
The probability description of the behavioural characteristic at family, with the stroke message for recommending to be consistent with the behavioural characteristic for the vehicle user.
8. the analysis system of vehicle user behavioural characteristic as claimed in claim 7, which is characterized in that the running information includes
License plate number, vehicle location and running time.
9. such as the analysis system of claim 7-8 any one of them vehicle user behavioural characteristics, which is characterized in that the analysis system
System further includes：
Stroke evaluation unit, for receiving evaluation of the vehicle user for the stroke message of recommendation；
Like acquiring unit, the personal like for obtaining the vehicle user according to the evaluation, with the later stage for the vehicle
User recommends the stroke message being consistent with its behavioural characteristic and personal like.
10. a kind of analytical equipment of vehicle user behavioural characteristic, which is characterized in that including：
Memory, for storing computer program；
Processor realizes vehicle user behavior as claimed in any one of claims 1 to 6 when for executing the computer program
The step of analysis method of feature.
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Cited By (2)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN109887292A (en) * | 2019-04-04 | 2019-06-14 | 上海赢科信息技术有限公司 | The recognition methods and system of type of vehicle |
| CN112284407A (en) * | 2020-12-30 | 2021-01-29 | 智道网联科技(北京)有限公司 | Driving information recommendation method and device |
Citations (17)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN1892182A (en) * | 2005-07-01 | 2007-01-10 | 株式会社电装 | Navigation system |
| CN101692314A (en) * | 2009-10-15 | 2010-04-07 | 康华武 | Method for identifying vehicle identity by using vehicle position information and application |
| CN101964148A (en) * | 2009-07-24 | 2011-02-02 | 日立(中国)研究开发有限公司 | Road traffic information recording server and GPS (Global Positioning System) user terminal |
| CN103345838A (en) * | 2013-07-19 | 2013-10-09 | 浙江宇视科技有限公司 | Vehicle information managing device and vehicle information retrieving method |
| CN103680130A (en) * | 2013-12-10 | 2014-03-26 | 福建工程学院 | Method for obtaining regional way-guiding experts based on floating car technology |
| CN103697901A (en) * | 2013-12-25 | 2014-04-02 | 沈阳美行科技有限公司 | Solving method for automatic guidance patterns of vehicle navigation |
| CN104251703A (en) * | 2014-09-19 | 2014-12-31 | 沈阳美行科技有限公司 | Navigation route learning and planning method |
| CN105825297A (en) * | 2016-03-11 | 2016-08-03 | 山东大学 | Markov-model-based position prediction method |
| CN106197444A (en) * | 2016-06-29 | 2016-12-07 | 厦门趣处网络科技有限公司 | A kind of route planning method, system |
| CN106233094A (en) * | 2014-04-22 | 2016-12-14 | 丰田自动车株式会社 | Route generation device and route generation method |
| CN106446078A (en) * | 2016-09-08 | 2017-02-22 | 乐视控股（北京）有限公司 | Information recommendation method and recommendation apparatus |
| CN106643775A (en) * | 2017-02-23 | 2017-05-10 | 高域（北京）智能科技研究院有限公司 | Navigation method based on big data machine learning and navigation system thereof |
| CN106886837A (en) * | 2017-02-21 | 2017-06-23 | 携程旅游网络技术（上海）有限公司 | Free walker stroke based on time planning recommends method |
| CN106953888A (en) * | 2017-01-25 | 2017-07-14 | 斑马信息科技有限公司 | Information transmission system and method |
| CN107111794A (en) * | 2015-01-11 | 2017-08-29 | 微软技术许可有限责任公司 | Prediction and the changeability using the travel time in Map Services |
| CN107270923A (en) * | 2017-06-16 | 2017-10-20 | 广东欧珀移动通信有限公司 | Method, terminal and storage medium that a kind of route is pushed |
| CN107341166A (en) * | 2016-11-29 | 2017-11-10 | 安徽江淮汽车集团股份有限公司 | A kind of vehicle-mounted APP recommendation method and system |
-
2018
- 2018-06-20 CN CN201810635656.9A patent/CN108645422A/en active Pending
Patent Citations (17)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN1892182A (en) * | 2005-07-01 | 2007-01-10 | 株式会社电装 | Navigation system |
| CN101964148A (en) * | 2009-07-24 | 2011-02-02 | 日立(中国)研究开发有限公司 | Road traffic information recording server and GPS (Global Positioning System) user terminal |
| CN101692314A (en) * | 2009-10-15 | 2010-04-07 | 康华武 | Method for identifying vehicle identity by using vehicle position information and application |
| CN103345838A (en) * | 2013-07-19 | 2013-10-09 | 浙江宇视科技有限公司 | Vehicle information managing device and vehicle information retrieving method |
| CN103680130A (en) * | 2013-12-10 | 2014-03-26 | 福建工程学院 | Method for obtaining regional way-guiding experts based on floating car technology |
| CN103697901A (en) * | 2013-12-25 | 2014-04-02 | 沈阳美行科技有限公司 | Solving method for automatic guidance patterns of vehicle navigation |
| CN106233094A (en) * | 2014-04-22 | 2016-12-14 | 丰田自动车株式会社 | Route generation device and route generation method |
| CN104251703A (en) * | 2014-09-19 | 2014-12-31 | 沈阳美行科技有限公司 | Navigation route learning and planning method |
| CN107111794A (en) * | 2015-01-11 | 2017-08-29 | 微软技术许可有限责任公司 | Prediction and the changeability using the travel time in Map Services |
| CN105825297A (en) * | 2016-03-11 | 2016-08-03 | 山东大学 | Markov-model-based position prediction method |
| CN106197444A (en) * | 2016-06-29 | 2016-12-07 | 厦门趣处网络科技有限公司 | A kind of route planning method, system |
| CN106446078A (en) * | 2016-09-08 | 2017-02-22 | 乐视控股（北京）有限公司 | Information recommendation method and recommendation apparatus |
| CN107341166A (en) * | 2016-11-29 | 2017-11-10 | 安徽江淮汽车集团股份有限公司 | A kind of vehicle-mounted APP recommendation method and system |
| CN106953888A (en) * | 2017-01-25 | 2017-07-14 | 斑马信息科技有限公司 | Information transmission system and method |
| CN106886837A (en) * | 2017-02-21 | 2017-06-23 | 携程旅游网络技术（上海）有限公司 | Free walker stroke based on time planning recommends method |
| CN106643775A (en) * | 2017-02-23 | 2017-05-10 | 高域（北京）智能科技研究院有限公司 | Navigation method based on big data machine learning and navigation system thereof |
| CN107270923A (en) * | 2017-06-16 | 2017-10-20 | 广东欧珀移动通信有限公司 | Method, terminal and storage medium that a kind of route is pushed |
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