CN106846795A - The acquisition methods and device in the crowd is dense region - Google Patents
The acquisition methods and device in the crowd is dense region Download PDFInfo
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- CN106846795A CN106846795A CN201710003562.5A CN201710003562A CN106846795A CN 106846795 A CN106846795 A CN 106846795A CN 201710003562 A CN201710003562 A CN 201710003562A CN 106846795 A CN106846795 A CN 106846795A
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- dwell regions
- tracing point
- commerial vehicle
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- 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
- G08G1/0104—Measuring and analyzing of parameters relative to traffic conditions
- G08G1/0137—Measuring and analyzing of parameters relative to traffic conditions for specific applications
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Abstract
The present invention provides a kind of acquisition methods and device in the crowd is dense region.The embodiment of the present invention is by obtaining the track data of commerial vehicle, and then according to the track data, obtain the dwell regions of the commerial vehicle, make it possible to according to the dwell regions, the crowd is dense region is obtained, it is simple to operate without artificial participation, and accuracy is high, so as to the efficiency and reliability of the acquisition in the region that improves that the crowd is dense.
Description
【Technical field】
The present invention relates to traffic technique, more particularly to a kind of acquisition methods and device in the crowd is dense region.
【Background technology】
With the high speed development of social economy, the urbanization process of China is constantly advanced, and the size of population in city is increasingly
Many, the region such as public transport, the living facilities in city often welcomes short-term peak traffic, as the crowd is dense region, example
Such as, the big assembly activity such as concert, sports tournament.The high concentration of crowd may bring some problems, for example, safety is hidden
Suffer from etc..In the prior art, generally by the relevant information in the region that artificially collects that the crowd is dense, for example, from relevant departments or specific
Collect relevant information of big assembly etc. in website.
However, the collection due to needing the artificial relevant information come the region that carries out that the crowd is dense so that complex operation, and
Easily error, so as to the reduction of the efficiency and reliability of the acquisition in the region that result in that the crowd is dense.
【The content of the invention】
Many aspects of the invention provide a kind of acquisition methods and device in the crowd is dense region, are used to improve that the crowd is dense
The efficiency and reliability of the acquisition in region.
A kind of an aspect of of the present present invention, there is provided acquisition methods in the crowd is dense region, including:
Obtain the track data of commerial vehicle;
According to the track data, the dwell regions of the commerial vehicle are obtained;
According to the dwell regions, the region that obtains that the crowd is dense.
Aspect as described above and any possible implementation, it is further provided a kind of implementation, it is described according to institute
Track data is stated, the dwell regions of the commerial vehicle are obtained, including:
According to the track data, tracing point is obtained;
According to the distribution situation of the tracing point, the tracing point is clustered, to generate at least one stagnant zone,
As the dwell regions of the commerial vehicle.
Aspect as described above and any possible implementation, it is further provided a kind of implementation, it is described according to institute
State dwell regions, the region that obtains that the crowd is dense, including:
The record time according to the tracing point in the tracing point in the dwell regions, and the dwell regions, obtain
There is the commerial vehicle for waiting objective behavior in the dwell regions;
According to having the commerial vehicle of waiting objective behavior in the dwell regions, the crowd is dense the region is obtained.
Aspect as described above and any possible implementation, it is further provided a kind of implementation, it is described according to institute
The record time of the tracing point in the tracing point in dwell regions, and the dwell regions is stated, is obtained in the dwell regions
With the commerial vehicle for waiting objective behavior, including:
For each dwell regions, if the difference between the record time of two neighboring tracing point in the dwell regions is small
In or equal to the time threshold that pre-sets, and the distance between the two neighboring tracing point less than or equal to pre-set away from
From threshold value, by the two neighboring tracing point, it is defined as continuous path point;
If within the scope of at the appointed time, the quantity of the continuous path point is more than or equal to the tracking quantity for pre-setting
Threshold value, the continuous path point is defined as waiting objective track;
Objective track is waited according to described, the commerial vehicle for having in the dwell regions and waiting objective behavior is obtained.
Aspect as described above and any possible implementation, it is further provided a kind of implementation, it is described according to institute
The commerial vehicle for having in dwell regions and waiting objective behavior is stated, the crowd is dense the region is obtained, including:
For each dwell regions, if the quantity in the dwell regions with the commerial vehicle for waiting objective behavior is more than or equal to
There is the appearance number of days and system of the commerial vehicle for waiting objective behavior in the first vehicle fleet size threshold value for pre-setting and the dwell regions
The ratio for counting number of days is more than or equal in the fractional threshold and the dwell regions for pre-setting while having the operation for waiting objective behavior
The maximum quantity of vehicle is more than or equal to the second vehicle fleet size threshold value for pre-setting, and the dwell regions are defined as into the crowd
Close quarters.
Aspect as described above and any possible implementation, it is further provided a kind of implementation, the tracing point
Including:
Static tracing point;Or
Static tracing point and motion track point.
A kind of another aspect of the present invention, there is provided acquisition device in the crowd is dense region, including:
Acquiring unit, the track data for obtaining commerial vehicle;
Parking cell, for according to the track data, obtaining the dwell regions of the commerial vehicle;
Analytic unit, for the region that according to the dwell regions, obtains that the crowd is dense.
Aspect as described above and any possible implementation, it is further provided a kind of implementation, the stop list
Unit, specifically for
According to the track data, tracing point is obtained;And
According to the distribution situation of the tracing point, the tracing point is clustered, to generate at least one stagnant zone,
As the dwell regions of the commerial vehicle.
Aspect as described above and any possible implementation, it is further provided a kind of implementation, the analysis list
Unit, specifically for
The record time according to the tracing point in the tracing point in the dwell regions, and the dwell regions, obtain
There is the commerial vehicle for waiting objective behavior in the dwell regions;And
According to having the commerial vehicle of waiting objective behavior in the dwell regions, the crowd is dense the region is obtained.
Aspect as described above and any possible implementation, it is further provided a kind of implementation, the analysis list
Unit, specifically for
For each dwell regions, if the difference between the record time of two neighboring tracing point in the dwell regions is small
In or equal to the time threshold that pre-sets, and the distance between the two neighboring tracing point less than or equal to pre-set away from
From threshold value, by the two neighboring tracing point, it is defined as continuous path point;
If within the scope of at the appointed time, the quantity of the continuous path point is more than or equal to the tracking quantity for pre-setting
Threshold value, the continuous path point is defined as waiting objective track;And
Objective track is waited according to described, the commerial vehicle for having in the dwell regions and waiting objective behavior is obtained.
Aspect as described above and any possible implementation, it is further provided a kind of implementation, the analysis list
Unit, specifically for
For each dwell regions, if the quantity in the dwell regions with the commerial vehicle for waiting objective behavior is more than or equal to
There is the appearance number of days and system of the commerial vehicle for waiting objective behavior in the first vehicle fleet size threshold value for pre-setting and the dwell regions
The ratio for counting number of days is more than or equal in the fractional threshold and the dwell regions for pre-setting while having the operation for waiting objective behavior
The maximum quantity of vehicle is more than or equal to the second vehicle fleet size threshold value for pre-setting, and the dwell regions are defined as into the crowd
Close quarters.
Aspect as described above and any possible implementation, it is further provided a kind of implementation, the tracing point
Including:
Static tracing point;Or
Static tracing point and motion track point.
As shown from the above technical solution, the embodiment of the present invention is by obtaining the track data of commerial vehicle, and then according to institute
State track data, obtain the dwell regions of the commerial vehicle, enabling according to the dwell regions, the area that obtains that the crowd is dense
Domain, it is simple to operate without artificial participation, and accuracy is high, so as to the efficiency and reliability of the acquisition in the region that improves that the crowd is dense
Property.
In addition, using technical scheme provided by the present invention, by using magnanimity commerial vehicle location data this
Positioning big data, the dwell regions of commerial vehicle is counted as the track data of commerial vehicle so that statistics is more smart
Standard, the reliability of the acquisition in the region that can effectively improve that the crowd is dense.
In addition, using technical scheme provided by the present invention, can be based on the region that obtained that the crowd is dense, to the crowd
Close quarters provides related service, for example, message push service, online dial-a-cab etc., can effectively lift the body of user
Test.
【Brief description of the drawings】
Technical scheme in order to illustrate more clearly the embodiments of the present invention, below will be to embodiment or description of the prior art
Needed for the accompanying drawing to be used be briefly described, it should be apparent that, drawings in the following description are some realities of the invention
Example is applied, for those of ordinary skill in the art, without having to pay creative labor, can also be attached according to these
Figure obtains other accompanying drawings.
Fig. 1 is the schematic flow sheet of the acquisition methods in one embodiment of the invention region that provides that the crowd is dense;
Fig. 2 is the structural representation of the acquisition device in another embodiment of the present invention region that provides that the crowd is dense.
【Specific embodiment】
To make the purpose, technical scheme and advantage of the embodiment of the present invention clearer, below in conjunction with the embodiment of the present invention
In accompanying drawing, the technical scheme in the embodiment of the present invention is clearly and completely described, it is clear that described embodiment is
A part of embodiment of the present invention, rather than whole embodiments.Based on the embodiment in the present invention, those of ordinary skill in the art
The whole other embodiments obtained under the premise of creative work is not made, belong to the scope of protection of the invention.
It should be noted that terminal involved in the embodiment of the present invention can include but is not limited to mobile phone, individual digital
Assistant (Personal Digital Assistant, PDA), radio hand-held equipment, panel computer (Tablet Computer),
PC (Personal Computer, PC), MP3 player, MP4 players, wearable device (for example, intelligent glasses,
Intelligent watch, Intelligent bracelet etc.) etc..
In addition, the terms "and/or", a kind of only incidence relation for describing affiliated partner, expression there may be
Three kinds of relations, for example, A and/or B, can represent:Individualism A, while there is A and B, individualism B these three situations.Separately
Outward, character "/" herein, typicallys represent forward-backward correlation pair as if a kind of relation of "or".
Fig. 1 is the schematic flow sheet of the acquisition methods in one embodiment of the invention region that provides that the crowd is dense, such as Fig. 1 institutes
Show.
101st, the track data of commerial vehicle is obtained.
The track data of the historical track run over before the track data of so-called commerial vehicle refers to commerial vehicle,
So-called historical track, the set being made up of several tracing points.As a rule, any side of the prior art can be used
Method, gathers the track data of commerial vehicle.For example, can specifically utilize the global positioning system installed on commerial vehicle
(Global Positioning System) terminal, gathers position data, forms the track data of the commerial vehicle;Utilize
Global positioning system (Global Positioning System, GPS) institute in the terminal that the driver of commerial vehicle is used
The historical position data of record, forms the track data of the commerial vehicle;Or, then for example, specifically can directly by operation
The historical navigation result of the driver of vehicle, used as the track data, etc. of the commerial vehicle, the present embodiment is not carried out to this
It is particularly limited to.
102nd, according to the track data, the dwell regions of the commerial vehicle are obtained.
103rd, according to the dwell regions, the crowd is dense region is obtained.
It should be noted that 101~103 executive agent can be partly or entirely the application for being located locally terminal,
Or can also be the plug-in unit being arranged in the application of local terminal or SDK (Software
Development Kit, SDK) etc. functional unit, or can also be the treatment engine in network side server, or
Can also be the distributed system positioned at network side, the present embodiment is not particularly limited to this.
It is understood that the application can be mounted in the local program (nativeApp) in terminal, or may be used also
To be a web page program (webApp) of browser in terminal, the present embodiment is not defined to this.
So, by obtaining the track data of commerial vehicle, and then according to the track data, the commerial vehicle is obtained
Dwell regions, enabling according to the dwell regions, the region that obtains that the crowd is dense is simple to operate without artificial participation, and
Accuracy is high, so as to the efficiency and reliability of the acquisition in the region that improves that the crowd is dense.
In the present invention, in 102, specifically tracing point can be obtained according to the track data, and then, then can basis
The distribution situation of the tracing point, clusters to the tracing point, to generate at least one stagnant zone, as the operation
The dwell regions of vehicle.Specifically, density-based algorithms can be specifically utilized, for example, the group based on space density
With noise find cluster (Density-Based Spatical Clustering of Application with Noise,
DB-SCAN) algorithm, clusters to the tracing point, or can also utilize hierarchical clustering algorithm, for example, Ward clusters are calculated
Method, clusters to the tracing point, and the present embodiment is not particularly limited to this.
During a concrete implementation, specifically whole tracing points can be obtained according to the track data, i.e., it is quiet
Only tracing point and motion track point.
During another concrete implementation, due to needing the dwell regions of statistics commerial vehicle, therefore, it can basis
The track data, it is only necessary to obtain the i.e. static tracing point of non-moving tracing point of part, participates in stopping for follow-up commerial vehicle
Stay the statistical work in region.Specifically, it is possible to use the speed data included in track data, by the movement in tracing point
Tracing point is removed, and only retains static tracing point.
Alternatively, in a possible implementation of the present embodiment, in 103, specifically can be according to the stop
The record time of the tracing point in the tracing point in region, and the dwell regions, obtain to have in the dwell regions and wait
The commerial vehicle of objective behavior, then, then can obtain described according to the commerial vehicle in the dwell regions with the objective behavior of time
The crowd is dense region.
During a concrete implementation, for each dwell regions, if the two neighboring track in the dwell regions
Difference between the record time of point is less than or equal to the time threshold that pre-sets such as 2 minutes, and the two neighboring tracing point
The distance between less than or equal to such as 20 meters of the distance threshold for pre-setting, then the two neighboring tracing point can be defined as
Continuous path point;If at the appointed time scope is such as within 8 minutes, the quantity of the continuous path point is more than or equal to pre-setting
Tracking quantity threshold value such as 50, then further by the continuous path point can be defined as waiting objective track;Then, then can be with
Objective track is waited according to described, the commerial vehicle for having in the dwell regions and waiting objective behavior is obtained, for example, waiting objective track institute by one
Corresponding commerial vehicle, is defined as having the commerial vehicle for waiting objective behavior in the dwell regions.
In the implementation process, during it is determined that waiting objective track, if two time intervals waited between objective track are small
In or equal to pre-set interval threshold value such as 15 minutes, then, then can wait objective tracks by this two and merge treatment, with
Obtain a new time visitor track.
During another concrete implementation, for each dwell regions, if having in the dwell regions waiting objective behavior
The quantity D of commerial vehicle be more than or equal to have in the first vehicle fleet size threshold value DT for pre-setting and the dwell regions and wait
The appearance number of days of the commerial vehicle of objective behavior be more than or equal to the ratio R of statistics number of days the fractional threshold RT that pre-sets and
(such as in sampling timeframe) is specified in time range in the dwell regions while having the maximum of the commerial vehicle for waiting objective behavior
Quantity D Max is more than or equal to the second vehicle fleet size threshold value DMaxT for pre-setting, then the dwell regions can be defined as into institute
Region of stating that the crowd is dense.
In the present invention, after the region that obtains that the crowd is dense, can also further will monitoring city be divided into it is specified
The rectangular area that such as 400 meters × 400 meters of the monitor area of size, and then, then may determine that within certain monitor area or week
Enclose, if big assembly activity can be held.
If there is crowd's close quarters in certain monitor area or within such as 200 meters of surrounding certain distance, and the crowd is close
There is the quantity of the commerial vehicle for waiting objective behavior to be more than the first rally threshold value for pre-setting as should the crowd is dense within collection region
(such as in sampling timeframe) is specified in time range in region while having the maximum quantity of the commerial vehicle for waiting objective behavior
DMax and the variance sum of the maximum quantity should daily in the crowd is dense region simultaneously with the commerial vehicle for waiting objective behavior, then may be used
To determine within the monitor area or around, big assembly activity is held.
If there is no crowd's close quarters, and the crowd in certain monitor area or within such as 200 meters of surrounding certain distance
There is the quantity of the commerial vehicle for waiting objective behavior to be more than the second rally threshold value such as place city for pre-setting within close quarters
(such as in sampling timeframe) is specified in time range in all groups' close quarters while having the commerial vehicle for waiting objective behavior
Maximum quantity DMax average value, then can determine within the monitor area or surrounding, hold big assembly activity.
So, by performing above-mentioned technical proposal, ongoing rally activity can be effectively found, for online driver
Scheduling, alleviates and avoids the transport power of regional area not enough.At the same time it can also further push letter to a large number of users in the region
Breath, promotes some services and product, for example, online dial-a-cab etc..
In the present embodiment, by obtaining the track data of commerial vehicle, and then according to the track data, the battalion is obtained
Transport the dwell regions of vehicle, enabling according to the dwell regions, the region that obtains that the crowd is dense, without artificial participation, operation
Simply, and accuracy is high, so as to the region that improves that the crowd is dense acquisition efficiency and reliability.
In addition, using technical scheme provided by the present invention, by using magnanimity commerial vehicle location data this
Positioning big data, the dwell regions of commerial vehicle is counted as the track data of commerial vehicle so that statistics is more smart
Standard, the reliability of the acquisition in the region that can effectively improve that the crowd is dense.
In addition, using technical scheme provided by the present invention, can be based on the region that obtained that the crowd is dense, to the crowd
Close quarters provides related service, for example, message push service, online dial-a-cab etc., can effectively lift the body of user
Test.
It should be noted that for foregoing each method embodiment, in order to be briefly described, therefore it is all expressed as a series of
Combination of actions, but those skilled in the art should know, the present invention not by described by sequence of movement limited because
According to the present invention, some steps can sequentially or simultaneously be carried out using other.Secondly, those skilled in the art should also know
Know, embodiment described in this description belongs to preferred embodiment, involved action and module is not necessarily of the invention
It is necessary.
In the above-described embodiments, the description to each embodiment all emphasizes particularly on different fields, and does not have the portion described in detail in certain embodiment
Point, may refer to the associated description of other embodiment.
Fig. 2 is the structural representation of the acquisition device in another embodiment of the present invention region that provides that the crowd is dense, such as Fig. 2 institutes
Show.The acquisition device in the present embodiment the crowd is dense region can include acquiring unit 21, parking cell 22 and analytic unit 23.
Wherein, acquiring unit 21, the track data for obtaining commerial vehicle;Parking cell 22, for according to the track data, obtaining
Obtain the dwell regions of the commerial vehicle;Analytic unit 23, for the region that according to the dwell regions, obtains that the crowd is dense.
It should be noted that the acquisition device in the present embodiment is provided that the crowd is dense region can be to be located locally terminal
Application, or can also be the plug-in unit being arranged in the application of local terminal or SDK (Software
Development Kit, SDK) etc. functional unit, or can also be the treatment engine in network side server, or
Can also be the distributed system positioned at network side, the present embodiment is not particularly limited to this.
It is understood that the application can be mounted in the local program (nativeApp) in terminal, or may be used also
To be a web page program (webApp) of browser in terminal, the present embodiment is not defined to this.
Alternatively, in a possible implementation of the present embodiment, the parking cell 22 specifically can be used for root
According to the track data, tracing point is obtained;And according to the distribution situation of the tracing point, the tracing point is clustered,
To generate at least one stagnant zone, as the dwell regions of the commerial vehicle.
During a concrete implementation, the parking cell 22 specifically can obtain complete according to the track data
The tracing point in portion, i.e., static tracing point and motion track point.
During another concrete implementation, due to needing the dwell regions of statistics commerial vehicle, therefore, the stop
Unit 22, can be according to the track data, it is only necessary to obtain the i.e. static tracing point of non-moving tracing point of part, participates in follow-up
Commerial vehicle dwell regions statistical work.Specifically, it is possible to use the speed data included in track data, will
Motion track point removal in tracing point, only retains static tracing point.
Alternatively, in a possible implementation of the present embodiment, the analytic unit 23 specifically can be used for root
According to the record time of the tracing point in the tracing point in the dwell regions, and the dwell regions, the stacking area is obtained
There is the commerial vehicle for waiting objective behavior in domain;And according to the commerial vehicle in the dwell regions with the objective behavior of time, obtain
The crowd is dense the region.
During a concrete implementation, the analytic unit 23 specifically can be used for for each dwell regions, if
Difference between the record time of the two neighboring tracing point in the dwell regions is less than or equal to the time threshold for pre-setting,
And the distance between the two neighboring tracing point is less than or equal to the distance threshold for pre-setting, by the two neighboring tracing point,
It is defined as continuous path point;If within the scope of at the appointed time, the quantity of the continuous path point is more than or equal to pre-setting
Tracking quantity threshold value, the continuous path point is defined as waiting objective track;And objective track is waited according to described, obtain this and stop
Stay the commerial vehicle for having in region and waiting objective behavior.
During another concrete implementation, the analytic unit 23 specifically can be used for for each dwell regions,
If the quantity in the dwell regions with the commerial vehicle for waiting objective behavior is more than or equal to the first vehicle fleet size threshold for pre-setting
There is number of days with the ratio of statistics number of days more than or equal to pre- in have the commerial vehicle for waiting objective behavior in value and the dwell regions
While the maximum quantity with the commerial vehicle for waiting objective behavior is more than or equal in the fractional threshold for first setting and the dwell regions
The dwell regions are defined as the crowd is dense the region by the second vehicle fleet size threshold value for pre-setting.
It should be noted that method in the corresponding embodiments of Fig. 1, can be by the present embodiment region that provides that the crowd is dense
Acquisition device is realized.Detailed description may refer to the related content in the corresponding embodiments of Fig. 1, and here is omitted.
In the present embodiment, the track data of commerial vehicle is obtained by acquiring unit, and then by parking cell according to
Track data, obtains the dwell regions of the commerial vehicle so that analytic unit can obtain crowd according to the dwell regions
Close quarters, it is simple to operate without artificial participation, and accuracy is high, so as to the efficiency of the acquisition in the region that improves that the crowd is dense
And reliability.
In addition, using technical scheme provided by the present invention, by using magnanimity commerial vehicle location data this
Positioning big data, the dwell regions of commerial vehicle is counted as the track data of commerial vehicle so that statistics is more smart
Standard, the reliability of the acquisition in the region that can effectively improve that the crowd is dense.
In addition, using technical scheme provided by the present invention, can be based on the region that obtained that the crowd is dense, to the crowd
Close quarters provides related service, for example, message push service, online dial-a-cab etc., can effectively lift the body of user
Test.
The above method provided in an embodiment of the present invention and device to set and can run on the computer program in equipment
Embody.The equipment can include one or more processors, also including memory and one or more programs.Wherein this or
Multiple program storages in memory, by said one or multiple computing device realizing shown in the above embodiment of the present invention
Method flow and/or device operation.For example, by said one or the method flow of multiple computing devices, can include:
Obtain the track data of commerial vehicle;
According to the track data, the dwell regions of the commerial vehicle are obtained;
According to the dwell regions, the region that obtains that the crowd is dense.
It is apparent to those skilled in the art that, for convenience and simplicity of description, the system of foregoing description,
The specific work process of device and unit, may be referred to the corresponding process in preceding method embodiment, will not be repeated here.
In several embodiments provided by the present invention, it should be understood that disclosed system, apparatus and method can be with
Realize by another way.For example, device embodiment described above is only schematical, for example, the unit
Divide, only a kind of division of logic function there can be other dividing mode when actually realizing, for example multiple units or the page
Component can be combined or be desirably integrated into another system, or some features can be ignored, or not performed.It is another, show
The coupling each other shown or discuss or direct-coupling or communication connection can be by some interfaces, between device or unit
Connect coupling or communicate to connect, can be electrical, mechanical or other forms.
The unit that is illustrated as separating component can be or may not be it is physically separate, it is aobvious as unit
The part for showing can be or may not be physical location, you can with positioned at a place, or can also be distributed to multiple
On NE.Some or all of unit therein can be according to the actual needs selected to realize the mesh of this embodiment scheme
's.
In addition, during each functional unit in each embodiment of the invention can be integrated in a processing unit, it is also possible to
It is that unit is individually physically present, it is also possible to which two or more units are integrated in a unit.Above-mentioned integrated list
Unit can both be realized in the form of hardware, it would however also be possible to employ hardware adds the form of SFU software functional unit to realize.
The above-mentioned integrated unit realized in the form of SFU software functional unit, can store and be deposited in an embodied on computer readable
In storage media.Above-mentioned SFU software functional unit storage is in a storage medium, including some instructions are used to so that a computer
Equipment (can be personal computer, server, or network equipment etc.) or processor (processor) perform the present invention each
The part steps of embodiment methods described.And foregoing storage medium includes:USB flash disk, mobile hard disk, read-only storage (Read-
Only Memory, ROM), random access memory (Random Access Memory, RAM), magnetic disc or CD etc. it is various
Can be with the medium of store program codes.
Finally it should be noted that:The above embodiments are merely illustrative of the technical solutions of the present invention, rather than its limitations;Although
The present invention has been described in detail with reference to the foregoing embodiments, it will be understood by those within the art that:It still may be used
Modified with to the technical scheme described in foregoing embodiments, or equivalent is carried out to which part technical characteristic;
And these modification or replace, do not make appropriate technical solution essence depart from various embodiments of the present invention technical scheme spirit and
Scope.
Claims (12)
1. a kind of acquisition methods in the crowd is dense region, it is characterised in that including:
Obtain the track data of commerial vehicle;
According to the track data, the dwell regions of the commerial vehicle are obtained;
According to the dwell regions, the region that obtains that the crowd is dense.
2. method according to claim 1, it is characterised in that described according to the track data, obtains the commercial vehicle
Dwell regions, including:
According to the track data, tracing point is obtained;
According to the distribution situation of the tracing point, the tracing point is clustered, to generate at least one stagnant zone, as
The dwell regions of the commerial vehicle.
3. method according to claim 2, it is characterised in that described according to the dwell regions, the area that obtains that the crowd is dense
Domain, including:
The record time according to the tracing point in the tracing point in the dwell regions, and the dwell regions, obtain described
There is the commerial vehicle for waiting objective behavior in dwell regions;
According to having the commerial vehicle of waiting objective behavior in the dwell regions, the crowd is dense the region is obtained.
4. method according to claim 3, it is characterised in that the tracing point according in the dwell regions, and
The record time of the tracing point in the dwell regions, obtain the commerial vehicle for having in the dwell regions and waiting objective behavior, bag
Include:
For each dwell regions, if the difference between the record time of two neighboring tracing point in the dwell regions be less than or
Equal to the time threshold for pre-setting, and the distance between the two neighboring tracing point is less than or equal to pre-setting apart from threshold
Value, by the two neighboring tracing point, is defined as continuous path point;
If within the scope of at the appointed time, the quantity of the continuous path point is more than or equal to the tracking quantity threshold for pre-setting
Value, the continuous path point is defined as waiting objective track;
Objective track is waited according to described, the commerial vehicle for having in the dwell regions and waiting objective behavior is obtained.
5. method according to claim 3, it is characterised in that described to wait objective behavior according to having in the dwell regions
Commerial vehicle, obtains the crowd is dense the region, including:
For each dwell regions, if there is the quantity of the commerial vehicle for waiting objective behavior more than or equal to advance in the dwell regions
There is the appearance number of days and statistics day of the commerial vehicle for waiting objective behavior in the first vehicle fleet size threshold value for setting and the dwell regions
Several ratio is more than or equal in the fractional threshold and the dwell regions for pre-setting while having the commerial vehicle for waiting objective behavior
Maximum quantity be more than or equal to the second vehicle fleet size threshold value for pre-setting, the dwell regions are defined as described the crowd is dense
Region.
6. the method according to claim 2~5 any claim, it is characterised in that the tracing point includes:
Static tracing point;Or
Static tracing point and motion track point.
7. a kind of acquisition device in the crowd is dense region, it is characterised in that including:
Acquiring unit, the track data for obtaining commerial vehicle;
Parking cell, for according to the track data, obtaining the dwell regions of the commerial vehicle;
Analytic unit, for the region that according to the dwell regions, obtains that the crowd is dense.
8. device according to claim 7, it is characterised in that the parking cell, specifically for
According to the track data, tracing point is obtained;And
According to the distribution situation of the tracing point, the tracing point is clustered, to generate at least one stagnant zone, as
The dwell regions of the commerial vehicle.
9. device according to claim 8, it is characterised in that the analytic unit, specifically for
The record time according to the tracing point in the tracing point in the dwell regions, and the dwell regions, obtain described
There is the commerial vehicle for waiting objective behavior in dwell regions;And
According to having the commerial vehicle of waiting objective behavior in the dwell regions, the crowd is dense the region is obtained.
10. device according to claim 9, it is characterised in that the analytic unit, specifically for
For each dwell regions, if the difference between the record time of two neighboring tracing point in the dwell regions be less than or
Equal to the time threshold for pre-setting, and the distance between the two neighboring tracing point is less than or equal to pre-setting apart from threshold
Value, by the two neighboring tracing point, is defined as continuous path point;
If within the scope of at the appointed time, the quantity of the continuous path point is more than or equal to the tracking quantity threshold for pre-setting
Value, the continuous path point is defined as waiting objective track;And
Objective track is waited according to described, the commerial vehicle for having in the dwell regions and waiting objective behavior is obtained.
11. devices according to claim 9, it is characterised in that the analytic unit, specifically for
For each dwell regions, if there is the quantity of the commerial vehicle for waiting objective behavior more than or equal to advance in the dwell regions
There is the appearance number of days and statistics day of the commerial vehicle for waiting objective behavior in the first vehicle fleet size threshold value for setting and the dwell regions
Several ratio is more than or equal in the fractional threshold and the dwell regions for pre-setting while having the commerial vehicle for waiting objective behavior
Maximum quantity be more than or equal to the second vehicle fleet size threshold value for pre-setting, the dwell regions are defined as described the crowd is dense
Region.
12. device according to claim 8~11 any claim, it is characterised in that the tracing point includes:
Static tracing point;Or
Static tracing point and motion track point.
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Cited By (4)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN108303100A (en) * | 2017-12-25 | 2018-07-20 | 厦门市美亚柏科信息股份有限公司 | Focus point analysis method and computer readable storage medium |
CN109255315A (en) * | 2018-08-30 | 2019-01-22 | 跨越速运集团有限公司 | One kind going out vehicle people's vehicle separation judgment method and device on the way |
CN109698934A (en) * | 2017-10-23 | 2019-04-30 | 中移(苏州)软件技术有限公司 | A kind of area monitoring method and device |
CN112835080A (en) * | 2021-01-21 | 2021-05-25 | 成都路行通信息技术有限公司 | Track repairing method and device for vehicle in static state and electronic equipment |
Citations (8)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
JP4950587B2 (en) * | 2006-08-02 | 2012-06-13 | クラリオン株式会社 | Traffic information providing apparatus, traffic information providing system, anomaly data detection method and data collection method |
CN104156489A (en) * | 2014-08-29 | 2014-11-19 | 北京嘀嘀无限科技发展有限公司 | Method for mining driver frequent parking points based on driver track |
CN104167092A (en) * | 2014-07-30 | 2014-11-26 | 北京市交通信息中心 | Method and device for determining taxi pick-up and drop-off hot spot region center |
CN104239453A (en) * | 2014-09-02 | 2014-12-24 | 百度在线网络技术(北京)有限公司 | Data processing method and device |
CN104636354A (en) * | 2013-11-07 | 2015-05-20 | 华为技术有限公司 | Position point of interest clustering method and related device |
CN105096589A (en) * | 2015-07-27 | 2015-11-25 | 福建工程学院 | Method of selecting representative node in traffic road, system and client |
CN105139638A (en) * | 2015-07-27 | 2015-12-09 | 福建工程学院 | Taxi passenger carrying site selection method and system |
CN105843943A (en) * | 2016-04-08 | 2016-08-10 | 深圳广联赛讯有限公司 | Analysis method for usual parking place of vehicle |
-
2017
- 2017-01-04 CN CN201710003562.5A patent/CN106846795A/en active Pending
Patent Citations (8)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
JP4950587B2 (en) * | 2006-08-02 | 2012-06-13 | クラリオン株式会社 | Traffic information providing apparatus, traffic information providing system, anomaly data detection method and data collection method |
CN104636354A (en) * | 2013-11-07 | 2015-05-20 | 华为技术有限公司 | Position point of interest clustering method and related device |
CN104167092A (en) * | 2014-07-30 | 2014-11-26 | 北京市交通信息中心 | Method and device for determining taxi pick-up and drop-off hot spot region center |
CN104156489A (en) * | 2014-08-29 | 2014-11-19 | 北京嘀嘀无限科技发展有限公司 | Method for mining driver frequent parking points based on driver track |
CN104239453A (en) * | 2014-09-02 | 2014-12-24 | 百度在线网络技术(北京)有限公司 | Data processing method and device |
CN105096589A (en) * | 2015-07-27 | 2015-11-25 | 福建工程学院 | Method of selecting representative node in traffic road, system and client |
CN105139638A (en) * | 2015-07-27 | 2015-12-09 | 福建工程学院 | Taxi passenger carrying site selection method and system |
CN105843943A (en) * | 2016-04-08 | 2016-08-10 | 深圳广联赛讯有限公司 | Analysis method for usual parking place of vehicle |
Cited By (6)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN109698934A (en) * | 2017-10-23 | 2019-04-30 | 中移(苏州)软件技术有限公司 | A kind of area monitoring method and device |
CN108303100A (en) * | 2017-12-25 | 2018-07-20 | 厦门市美亚柏科信息股份有限公司 | Focus point analysis method and computer readable storage medium |
CN109255315A (en) * | 2018-08-30 | 2019-01-22 | 跨越速运集团有限公司 | One kind going out vehicle people's vehicle separation judgment method and device on the way |
CN109255315B (en) * | 2018-08-30 | 2021-04-06 | 跨越速运集团有限公司 | People and vehicle separation judgment method and device during vehicle leaving |
CN112835080A (en) * | 2021-01-21 | 2021-05-25 | 成都路行通信息技术有限公司 | Track repairing method and device for vehicle in static state and electronic equipment |
CN112835080B (en) * | 2021-01-21 | 2024-03-19 | 成都路行通信息技术有限公司 | Track repairing method and device for vehicle in stationary state and electronic equipment |
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