CN109297492A - A kind of determination method and device of the parked point of motion track - Google Patents
A kind of determination method and device of the parked point of motion track Download PDFInfo
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- CN109297492A CN109297492A CN201811038405.9A CN201811038405A CN109297492A CN 109297492 A CN109297492 A CN 109297492A CN 201811038405 A CN201811038405 A CN 201811038405A CN 109297492 A CN109297492 A CN 109297492A
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- address
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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
- G01C21/20—Instruments for performing navigational calculations
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- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04W—WIRELESS COMMUNICATION NETWORKS
- H04W4/00—Services specially adapted for wireless communication networks; Facilities therefor
- H04W4/02—Services making use of location information
- H04W4/025—Services making use of location information using location based information parameters
Abstract
The invention discloses a kind of determination method and devices of the parked point of motion track, this method comprises: calculating address code when being positioned every time according to the mobile data of measured target;Sequentially in time, it is corresponding by the frequency to count each address code in all address codes;Pass through the frequency according to address code each in all address codes is corresponding, is determined for compliance with the address code of preset condition as parked point.Each address code is corresponding in all address codes that the present invention is passed through by the motion track of statistics measured target passes through the frequency, in the case where reaching preset condition, one or more address codes is determined in all address codes that the motion track of measured target passes through, and on this basis using determining one or more corresponding actual geographic positions of address code as parked point, to carry out subsequent deployment, make the position of parked point judge it is more acurrate, more meet actual demand.
Description
Technical field
The present invention relates to computer fields, more particularly to a kind of determination method and device of the parked point of motion track.
Background technique
With the fast development of the technologies such as intelligent terminal, running fix, wireless communication, in application fields such as traffic, logistics,
Largely collected by the mobile trajectory data of road network.Parked point is that measured target occurs continuing centainly in motion track
It position corresponding to the park of time can be constant in space-time and semantic feature according to the determination and analysis to parked position
Under the premise of reflect the movement and behavior pattern of measured target, and then the deployment based on parked point can be carried out in multiple fields.
But the determination of parked point is usually only determined according to the residence time of measured target in the prior art, be easy to cause parked point
Situations such as determination is inaccurate, is not bound with actual demand, not very practical occurs.
Summary of the invention
The present invention provides a kind of determination method and device of parked point of motion track, to solve parked point in the prior art
Determination usually only be determined according to the residence time of measured target, be easy to cause it is parked point determine inaccuracy, be not bound with
Actual demand, not very practical problem.
In order to solve the above technical problems, on the one hand, the present invention provides a kind of determination method of parked point of motion track, wrap
It includes: according to the mobile data of measured target, calculating address code when being positioned every time;Sequentially in time, statistics is all
Each address code is corresponding in address code passes through the frequency, wherein described to include at least by the frequency: first number, first
Duration, second number, first number be the measured target continuously appear in current address coding number, described first
Measured target described in Shi Changwei continuously appears in the total duration of current address coding, and second number is to count the first time
Existing total degree;Pass through the frequency according to each address code in all address codes is corresponding, is determined for compliance with preset condition
Address code as parked point.
Further, according to the mobile data of measured target, address code when being positioned every time is calculated, comprising: from institute
State all mobile datas that measured target is obtained in the positioning device of measured target carrying;The mobile data is cleaned as structure
Change data, is included at least in the structural data: longitude, latitude and positioning time when being positioned every time;According to described
Longitude and latitude when positioning every time calculates address code when being positioned every time.
Longitude and latitude when further, according to each positioning calculate address code when being positioned every time, packet
Include: by geohash algorithm, longitude and latitude when according to each positioning calculate address when being positioned every time and compile
Code.
Longitude and latitude when further, according to each positioning, calculate address code when being positioned every time it
Before, further includes: according to the precision of the mobile data, determine the code length of the address code, wherein the code length
It include: 7,8 and 9.
Further, pass through the frequency according to each address code in all address codes is corresponding, be determined for compliance with default
The address code of condition is as parked point, comprising: for corresponding first number of address code each in all address codes,
Weight is respectively set in first duration and second number;According to first number, the first duration and second number and the power
Weight calculates the corresponding parked index of each address code in all address codes;It is selected in all address codes
It selects the parked index and meets the address code of preset condition as parked point, wherein the preset condition is the following conditions
One of: parked index maximum, parked index minimum, parked index are within a predetermined range of values.
On the other hand, the present invention also provides a kind of determining devices of the parked point of motion track, comprising: computing module is used for
According to the mobile data of measured target, address code when being positioned every time is calculated;Statistical module, for suitable according to the time
Sequence it is corresponding by the frequency to count each address code in all address codes, wherein described to include at least by the frequency: the
Number, the first duration, second number, first number are that the measured target continuously appears in current address volume synchronous codes
Number, described first when, a length of measured target continuously appeared in the total duration of current address coding, and second number is institute
It states and counts existing total degree for the first time;Determining module, for corresponding according to each address code in all address codes
By the frequency, the address code of preset condition is determined for compliance with as parked point.
Further, the computing module, is specifically used for: tested mesh is obtained from the positioning device that the measured target carries
All mobile datas of target;The mobile data is cleaned as structural data, is included at least in the structural data: being carried out
Longitude, latitude and positioning time when positioning every time;Longitude and latitude when according to each positioning are calculated and determine every time
Address code when position.
Further, the computing module, is specifically used for: the longitude by geohash algorithm, when according to each positioning
And latitude, calculate address code when being positioned every time.
Further, the computing module, is also used to: according to the precision of the mobile data, determining the address code
Code length, wherein the code length includes: 7,8 and 9.
Further, the determining module, is specifically used for: for each address code in all address codes corresponding
Weight is respectively set in number, the first duration and second number;According to first number, the first duration and second number and
The weight calculates the corresponding parked index of each address code in all address codes;It is compiled in all addresses
Code in select the parked index to meet the address code of preset condition as parked point, wherein the preset condition be with
One of lower condition: parked index maximum, parked index minimum, parked index are within a predetermined range of values.
Each address code corresponds in all address codes that the present invention is passed through by the motion track of statistics measured target
First number, the first duration and second number etc. pass through the frequency, in the case where reaching preset condition, in measured target
One or more address codes is determined in all address codes that motion track passes through, and on this basis by determining one
Or multiple corresponding actual geographic positions of address code, to carry out subsequent deployment, makes the position of parked point as parked point
Judge it is more acurrate, more meet actual demand.
Detailed description of the invention
Fig. 1 is the flow chart of the determination method of the parked point of motion track in first embodiment of the invention;
Fig. 2 is the structural schematic diagram of the determining device of the parked point of motion track in second embodiment of the invention.
Specific embodiment
It is usually only determined, is held according to the residence time of measured target in order to solve the determination of parked point in the prior art
Parked point is easily caused to determine inaccuracy, be not bound with actual demand, not very practical problem, the present invention provides a kind of movements
The determination method and device of the parked point in track, below in conjunction with attached drawing and embodiment, the present invention will be described in further detail.
It should be appreciated that the specific embodiments described herein are merely illustrative of the present invention, the present invention is not limited.
The first embodiment of the present invention provides a kind of determination method of parked point of motion track, flow chart such as Fig. 1 institute
Show, mainly include step S101 to S103:
S101 calculates address code when being positioned every time according to the mobile data of measured target;
It is corresponding by the frequency to count each address code in all address codes sequentially in time by S102;
S103 passes through the frequency according to address code each in all address codes is corresponding, is determined for compliance with preset condition
Address code is as parked point.
In the present embodiment, measured target can be people or vehicle with positioning device, and positioning device is usually to have
The equipment of global positioning system (GPS, Global Positioning System), such as smartwatch, Intelligent bracelet, intelligent hand
Machine, vehicle positioning etc., with the movement of measured target, positioning device carries out the collection of a mobile data at regular intervals,
The mobile data being collected can be stored into the self-contained storage equipment of positioning device, can also be uploaded in real time by network
In server or cloud device.It will be appreciated that the difference of difference and measured target for the type of positioning device, positioning
The time interval that equipment is once positioned (acquisition of i.e. one time mobile data) may be different, is such as directed to using intelligent hand
Machine as the people of positioning device for, smart phone electricity it is low or shutdown in the case where, positioning system can stop to currently quilt
The acquisition for surveying the mobile data of target is positioned again when electricity is more than certain numerical value or mobile phone turns back on;It is using
On the vehicle of vehicle positioning, for information such as the travel track, the movement speeds that obtain vehicle in real time, positioning device is usually set and is adopted
The time interval of collection mobile data is fixed, and is such as once positioned within every 5 minutes, and a mobile data acquisition is carried out.
Needing to carry out the timing really of parked point, it is necessary first to tested mesh is obtained from the positioning device that measured target carries
All mobile datas of target, all mobile datas here can specify currently stored in equipment or network side server be somebody's turn to do
All mobile datas of measurand, all data being also possible in predetermined amount of time, such as all mobile datas in 7 days
Deng.
Further, the type and model of the positioning device carried due to measured target may different, the shiftings being collected into
The format of dynamic data is also likely to be present difference, unifiedly calculates or enhances the parked compatibility for putting the method that determines for convenience, obtaining
After getting all mobile datas of measured target, mobile data is cleaned, obtains structural data, in structural data
Only retain measured target corresponding longitude, latitude and positioning time in each positioning.
Then, then according to longitude, latitude and the positioning time when positioning every time, corresponding address is compiled when calculating this time positioning
Code, in the present embodiment, the method for calculating address code are to be calculated as ground for longitude and latitude correspondence by geohash algorithm
Location coding.
It will be appreciated that each address code corresponds to the fixed place of unique range, and long according to address code
The range size of the difference of degree, corresponding place is also different, when such as address coding length being 7, the ground of corresponding 2000 meters of ranges
Point, when address coding length is 8, the place of corresponding 200 meters of ranges, when address coding length is 9, the ground of corresponding 20 meters of ranges
Point.Due to the precision of mobile data and the difference of actual location demand, when calculating positioning every time before corresponding address code,
It should also include the steps that the length for determining that this calculates required address code.
In counting all address codes each address code it is corresponding by the frequency when, three ginsengs below principal statistical
Number: first several Ci, the first duration Cc and second several Ct, wherein first number is that measured target continuously appears in currently
The number of address code, by taking vehicle location as an example, the current mobile data of the vehicle of acquisition in positioning device every 5 minutes, and count
Corresponding address code is calculated, when its corresponding address code is homogeneous when continuous 2 times or 2 times or more data acquire for vehicle
Together, it is properly termed as measured target at this time and continuously appears in current address coding, corresponding specific positioning number is first number,
If when 5 progress mobile data acquisitions, the calculated address code of institute is 1234567 before positioning device, moved at the 6th time
When dynamic data acquisition, corresponding address code is 1234568, then vehicle is that 1234567 corresponding positions occur in address code
Number be 5, i.e., first time several Ci=5;A length of measured target continuously appears in the total duration of current address coding when first,
On the basis of first several determination, if the time interval that positioning device acquires mobile data every time is identical, the value of the first duration
First several product with time interval can be equal to, it, then will be per between positioning twice in the different situation of time interval
Time difference be added, obtain the first duration;Second number is to count existing total degree for the first time, as vehicle is positioned at continuous 5 times
Corresponding address code is 1234567, and such case once occurred 3 in the case where being directed to current address encoding statistics
It is secondary, at this point, second several Ct=3.
It counts that each address code is corresponding after the frequency, is determined for compliance with the address code of preset condition as parked
Power is respectively set for corresponding first number of each address code, the first duration and second number first in the process in point
Weight, such as first several weighted value are A, and the weighted value of the first duration is B, and second time several weighted values is C, and the value of A, B, C are then
It is determined, is not limited in the present embodiment according to actual needs;After weight determines, according to weighted value and first number,
First duration and second several value, parked index W, W for calculating each address code can be obtained by following calculation formula
Carrying out: W=Ci*A+Cc*B+Ct*C can also be got, in the present embodiment not by other formula calculating being arranged according to the actual situation
It is defined;After calculating the corresponding parked index of each address code, parked index is selected in all address codes
Meet the address code of preset condition, and set parked point for its corresponding geographical location, wherein preset condition can basis
The calculation formula or actual conditions of W is set, such as parked index maximum, parked index minimum or parked index
Within a predetermined range of values etc., and the quantity of parked point can be not limited to one, be parked index pre- in preset condition
When determining in numberical range, the corresponding address code of all parked indexs within a predetermined range of values can be set as staying
Rest point.
It will be appreciated that calculating parked index by weighted value is a kind of preferred calculating provided in the present invention
Method can also obtain parked index, originally by the way that the methods of predefined function is such as arranged on the basis of statistics is by the frequency
In this not go into detail for embodiment.
Each address code pair in all address codes that the present embodiment passes through the motion track process of statistics measured target
First number, the first duration and second number for answering etc. pass through the frequency, in the case where reaching preset condition, in measured target
All address codes for passing through of motion track in determine one or more address codes, and on this basis by determining one
The corresponding actual geographic position of a or multiple address code is as parked point, to carry out subsequent deployment, makes the position of parked point
Set judge it is more acurrate, more meet actual demand.
The second embodiment of the present invention provides a kind of determining device of parked point of motion track, structural schematic diagram personnel
Shown in Fig. 2, computing module 10 is specifically included that, for the mobile data according to measured target, calculate ground when being positioned every time
Location coding;Statistical module 20, for sequentially in time, it is corresponding through overfrequency to count each address code in all address codes
Secondary, wherein to include at least by the frequency: first number, the first duration, second number, first number are that measured target continuously goes out
The number of present current address coding, first when, a length of measured target continuously appeared in the total duration of current address coding, and second
Number is to count existing total degree for the first time;Determining module 30, for corresponding according to address code each in all address codes
The process frequency, be determined for compliance with the address code of preset condition as parked point.
In the present embodiment, measured target can be people or vehicle with positioning device, and positioning device is usually to have
The equipment of GPS, with the movement of measured target, positioning device carries out the collection of a mobile data at regular intervals, is received
The mobile data of collection can be stored into the self-contained storage equipment of positioning device, and service can also be uploaded in real time by network
In device or cloud device.It will be appreciated that the difference of difference and measured target for the type of positioning device, positioning device
The time interval for once being positioned (acquisition of i.e. one time mobile data) may be different, is such as directed to and is made using smart phone
For the people of positioning device, in the case where smart phone electricity is low or shuts down, positioning system can stop to current tested mesh
The acquisition of target mobile data is positioned again when electricity is more than certain numerical value or mobile phone turns back on;Using vehicle-mounted
On the vehicle of positioning, for information such as the travel track, the movement speeds that obtain vehicle in real time, positioning device is usually set acquires and move
The time interval of dynamic data is fixed, and is such as once positioned within every 5 minutes, and a mobile data acquisition is carried out.
Needing to carry out the timing really of parked point, computing module 10 is firstly the need of from the positioning device that measured target carries
Obtain measured target all mobile datas, all mobile datas here can specify in equipment or network side server when
All mobile datas of the measurand of preceding storage, all data being also possible in predetermined amount of time are all such as in 7 days
Mobile data etc..
Further, the type and model of the positioning device carried due to measured target may different, the shiftings being collected into
The format of dynamic data is also likely to be present difference, unifiedly calculates or enhance the compatibility of parked determining device for convenience, calculates
Module 10 cleans mobile data after getting all mobile datas of measured target, obtains structural data, knot
Only retain measured target corresponding longitude, latitude and positioning time in each positioning in structure data.
Then, computing module 10 then according to every time positioning when longitude, latitude and positioning time, calculate this time position when pair
The address code answered, in the present embodiment, the method that computing module 10 calculates address code be by geohash algorithm,
Longitude and latitude correspondence is calculated as address code.
It will be appreciated that each address code corresponds to the fixed place of unique range, and long according to address code
The range size of the difference of degree, corresponding place is also different, when such as address coding length being 7, the ground of corresponding 2000 meters of ranges
Point, when address coding length is 8, the place of corresponding 200 meters of ranges, when address coding length is 9, the ground of corresponding 20 meters of ranges
Point.Due to the precision of mobile data and the difference of actual location demand, correspondingly when computing module 10 calculates each positioning
Before the coding of location, it should determine the length of the address code needed for this is calculated first.
The each address code in counting all address codes of statistical module 20 it is corresponding by the frequency when, principal statistical with
Lower three parameters: first several Ci, the first duration Cc and second several Ct, wherein first number is that measured target continuously goes out
The number of present current address coding, by taking vehicle location as an example, the current mobile number of the vehicle of acquisition in positioning device every 5 minutes
According to, and corresponding address code is calculated, when vehicle when continuous 2 times or 2 times or more data acquire, compile by its corresponding address
Code is all the same, is properly termed as measured target at this time and continuously appears in current address coding, corresponding specific positioning number is the
Number;A length of measured target continuously appears in the total duration of current address coding when first, on the determining basis of first number
On, if the time interval that positioning device acquires mobile data every time is identical, the value of the first duration can be equal to first number with
The product of time interval will then be added per the time difference between positioning twice in the different situation of time interval, and obtain the
One duration;Second number is to count existing total degree for the first time, is as vehicle positions corresponding address code at continuous 3 times
87654321, such case once occurred 8 times in the case where being directed to current address encoding statistics, at this point, second several Ct
=8.
It is corresponding after the frequency that statistical module 20 counts each address code, is determined for compliance with by determining module 30 default
The address code of condition is as parked point, and in the process, determining module 30 is each address code corresponding first time first
Weight is respectively set in number, the first duration and second number, and such as first several weighted value is A, and the weighted value of the first duration is B,
Second time several weighted values is C, and the value of A, B, C are then determined according to actual needs, are not limited in the present embodiment;Power
Determine again after, then according to weighted value and first number, the first duration and second several value, the parked of each address code is calculated
Point index W;It is then determined that module 30 selects parked index to meet the address code of preset condition in all address codes,
And parked point is set by its corresponding geographical location, wherein preset condition can be according to the calculation formula of W, or practical feelings
Condition is set, such as parked index maximum, parked index minimum or parked index are within a predetermined range of values, and
The quantity of parked point can be not limited to one, preset condition be parked index within a predetermined range of values when, in predetermined number
The corresponding address code of all parked indexs being worth in range, can be set as parked point.
It will be appreciated that determining module 30 realize by weighted value calculate parked index be the present invention in provide
A kind of preferred calculation method can also be obtained by the methods of such as setting predefined function on the basis of statistics is by the frequency
Parked index out, in this not go into detail for the present embodiment.
Each address code pair in all address codes that the present embodiment passes through the motion track process of statistics measured target
First number, the first duration and second number for answering etc. pass through the frequency, in the case where reaching preset condition, in measured target
All address codes for passing through of motion track in determine one or more address codes, and on this basis by determining one
The corresponding actual geographic position of a or multiple address code is as parked point, to carry out subsequent deployment, makes the position of parked point
Set judge it is more acurrate, more meet actual demand.
Although for illustrative purposes, the preferred embodiment of the present invention has been disclosed, those skilled in the art will recognize
It is various improve, increase and replace be also it is possible, therefore, the scope of the present invention should be not limited to the above embodiments.
Claims (10)
1. a kind of determination method of the parked point of motion track characterized by comprising
According to the mobile data of measured target, address code when being positioned every time is calculated;
Sequentially in time, it is corresponding by the frequency to count each address code in all address codes, wherein described through overfrequency
Secondary to include at least: first number, the first duration, second number, first number continuously appears in for the measured target works as
The number of preceding address code, described first when, a length of measured target continuously appeared in the total duration of current address coding, institute
Stating second number is the first time to count existing total degree;
Pass through the frequency according to each address code in all address codes is corresponding, the address for being determined for compliance with preset condition is compiled
Code is used as parked point.
2. determining method as described in claim 1, which is characterized in that according to the mobile data of measured target, calculate and carry out often
Address code when secondary positioning, comprising:
All mobile datas of measured target are obtained from the positioning device that the measured target carries;
The mobile data is cleaned as structural data, is included at least in the structural data: when being positioned every time
Longitude, latitude and positioning time;
Longitude and latitude when according to each positioning calculate address code when being positioned every time.
3. determining method as claimed in claim 2, which is characterized in that longitude and latitude when according to each positioning, meter
Calculate address code when being positioned every time, comprising:
By geohash algorithm, longitude and latitude when according to each positioning calculate address when being positioned every time and compile
Code.
4. determining method as claimed in claim 2, which is characterized in that longitude and latitude when according to each positioning, meter
Before address code when calculation is positioned every time, further includes:
According to the precision of the mobile data, the code length of the address code is determined, wherein the code length includes: 7
Position, 8 and 9.
5. determining method according to any one of claims 1 to 4, which is characterized in that according in all address codes
Each address code is corresponding to pass through the frequency, is determined for compliance with the address code of preset condition as parked point, comprising:
It is respectively set for corresponding first number of address code each in all address codes, the first duration and second number
Weight;
According to first number, the first duration and second number and the weight, calculate every in all address codes
The corresponding parked index of a address code;
The parked index is selected to meet the address code of preset condition as parked point in all address codes,
In, the preset condition is one of the following conditions: parked index maximum, parked index minimum, parked index are predetermined
In numberical range.
6. a kind of determining device of the parked point of motion track characterized by comprising
Computing module calculates address code when being positioned every time for the mobile data according to measured target;
Statistical module, for sequentially in time, it is corresponding by the frequency to count each address code in all address codes,
In, described to include at least by the frequency: first number, the first duration, second number, first number are the measured target
The number of current address coding is continuously appeared in, described first when, a length of measured target continuously appeared in current address coding
Total duration, second number be the first time count existing total degree;
Determining module is determined for compliance with pre- for passing through the frequency according to each address code in all address codes is corresponding
If the address code of condition is as parked point.
7. determining device as claimed in claim 6, which is characterized in that the computing module is specifically used for:
All mobile datas of measured target are obtained from the positioning device that the measured target carries;
The mobile data is cleaned as structural data, is included at least in the structural data: when being positioned every time
Longitude, latitude and positioning time;
Longitude and latitude when according to each positioning calculate address code when being positioned every time.
8. determining device as claimed in claim 7, which is characterized in that the computing module is specifically used for:
By geohash algorithm, longitude and latitude when according to each positioning calculate address when being positioned every time and compile
Code.
9. determining device as claimed in claim 7, which is characterized in that the computing module is also used to:
According to the precision of the mobile data, the code length of the address code is determined, wherein the code length includes: 7
Position, 8 and 9.
10. the determining device as described in any one of claim 6 to 9, which is characterized in that the determining module is specifically used for:
It is respectively set for corresponding first number of address code each in all address codes, the first duration and second number
Weight;
According to first number, the first duration and second number and the weight, calculate every in all address codes
The corresponding parked index of a address code;
The parked index is selected to meet the address code of preset condition as parked point in all address codes,
In, the preset condition is one of the following conditions: parked index maximum, parked index minimum, parked index are predetermined
In numberical range.
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Cited By (1)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN111178577A (en) * | 2019-11-22 | 2020-05-19 | 陕西天行健车联网信息技术有限公司 | Service station site selection method based on GEOHASH algorithm |
Citations (12)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
US20100211308A1 (en) * | 2009-02-19 | 2010-08-19 | Microsoft Corporation | Identifying interesting locations |
CN102595323A (en) * | 2012-03-20 | 2012-07-18 | 北京交通发展研究中心 | Method for obtaining resident travel characteristic parameter based on mobile phone positioning data |
CN102879791A (en) * | 2012-10-09 | 2013-01-16 | 潮州市创佳电子有限公司 | System for sensing activity data of elder person based on Beidou positioning terminal |
US8612134B2 (en) * | 2010-02-23 | 2013-12-17 | Microsoft Corporation | Mining correlation between locations using location history |
CN103888493A (en) * | 2012-12-20 | 2014-06-25 | 腾讯科技(深圳)有限公司 | Information push method and device |
CN104634347A (en) * | 2015-01-23 | 2015-05-20 | 北京智慧图科技有限责任公司 | Route planning method and device |
CN105682025A (en) * | 2016-01-05 | 2016-06-15 | 重庆邮电大学 | User residing location identification method based on mobile signaling data |
CN106600960A (en) * | 2016-12-22 | 2017-04-26 | 西南交通大学 | Traffic travel origin and destination identification method based on space-time clustering analysis algorithm |
CN106982416A (en) * | 2017-03-21 | 2017-07-25 | 深圳广联赛讯有限公司 | The method and apparatus for determining vehicle ownership place |
CN107547633A (en) * | 2017-07-27 | 2018-01-05 | 腾讯科技(深圳)有限公司 | Processing method, device and the storage medium of a kind of resident point of user |
CN107992998A (en) * | 2017-11-24 | 2018-05-04 | 吉旗(成都)科技有限公司 | A kind of gas station is directed to the algorithm of goods stock intelligent marketing |
CN108090722A (en) * | 2017-12-14 | 2018-05-29 | 吉旗(成都)科技有限公司 | A kind of logistics network station recognition equipment and recognition methods based on GPS |
-
2018
- 2018-09-06 CN CN201811038405.9A patent/CN109297492A/en active Pending
Patent Citations (12)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
US20100211308A1 (en) * | 2009-02-19 | 2010-08-19 | Microsoft Corporation | Identifying interesting locations |
US8612134B2 (en) * | 2010-02-23 | 2013-12-17 | Microsoft Corporation | Mining correlation between locations using location history |
CN102595323A (en) * | 2012-03-20 | 2012-07-18 | 北京交通发展研究中心 | Method for obtaining resident travel characteristic parameter based on mobile phone positioning data |
CN102879791A (en) * | 2012-10-09 | 2013-01-16 | 潮州市创佳电子有限公司 | System for sensing activity data of elder person based on Beidou positioning terminal |
CN103888493A (en) * | 2012-12-20 | 2014-06-25 | 腾讯科技(深圳)有限公司 | Information push method and device |
CN104634347A (en) * | 2015-01-23 | 2015-05-20 | 北京智慧图科技有限责任公司 | Route planning method and device |
CN105682025A (en) * | 2016-01-05 | 2016-06-15 | 重庆邮电大学 | User residing location identification method based on mobile signaling data |
CN106600960A (en) * | 2016-12-22 | 2017-04-26 | 西南交通大学 | Traffic travel origin and destination identification method based on space-time clustering analysis algorithm |
CN106982416A (en) * | 2017-03-21 | 2017-07-25 | 深圳广联赛讯有限公司 | The method and apparatus for determining vehicle ownership place |
CN107547633A (en) * | 2017-07-27 | 2018-01-05 | 腾讯科技(深圳)有限公司 | Processing method, device and the storage medium of a kind of resident point of user |
CN107992998A (en) * | 2017-11-24 | 2018-05-04 | 吉旗(成都)科技有限公司 | A kind of gas station is directed to the algorithm of goods stock intelligent marketing |
CN108090722A (en) * | 2017-12-14 | 2018-05-29 | 吉旗(成都)科技有限公司 | A kind of logistics network station recognition equipment and recognition methods based on GPS |
Non-Patent Citations (2)
Title |
---|
MARCO PAVAN,STEFANO MIZZARO,IVAN SCAGNETTO,ANDREA BEGGIATO: "Finding Important Locations:A Feature-based Approach", 《2015 16TH IEEE INTERNATIONAL CONFERENCE ON MOBILE DATA MANAGEMENT》 * |
杨帅,于忠清,苏博群: "基于轨迹分割的老人行为识别方法", 《青岛大学学报(自然科学版)》 * |
Cited By (2)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN111178577A (en) * | 2019-11-22 | 2020-05-19 | 陕西天行健车联网信息技术有限公司 | Service station site selection method based on GEOHASH algorithm |
CN111178577B (en) * | 2019-11-22 | 2023-12-29 | 陕西天行健车联网信息技术有限公司 | Service station address selection method based on GEOHOASH algorithm |
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