CN110730414A - Method for identifying high-speed driving user and computer storage medium - Google Patents
Method for identifying high-speed driving user and computer storage medium Download PDFInfo
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- H—ELECTRICITY
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Abstract
The invention discloses a method for identifying a high-speed driving user and a computer storage medium, wherein the method comprises the following steps: step 100, respectively establishing a plurality of high-speed cell clusters adjacent in position along two directions of a highway, wherein one high-speed cell cluster comprises a plurality of cells; step 200, determining the number of high-speed cell clusters occupied by a user in the driving direction according to the user mobile phone signaling data and the high-speed cell cluster; and step 300, determining that the user is a high-speed driving user, a suspected high-speed driving user or a non-high-speed driving user according to the number of the high-speed cell clusters occupied by the user in the driving direction. The invention establishes the high-speed cell clusters which are densely distributed along the road, and the high-speed cell clusters comprise a plurality of cells, thereby ensuring the reliability of the number of the high-speed cell clusters occupied by the user in the driving direction, and further ensuring the reliability of the judgment result of whether the user is the high-speed driving user or not according to the number of the high-speed cell clusters occupied by the user in the driving direction.
Description
Technical Field
The invention relates to the technical field of mobile communication, in particular to a method for identifying a high-speed driving user and a computer storage medium.
Background
With the development of mobile communication networks, the requirements of users on network quality are higher and higher. The optimization work of mobile communication networks also shifts from traditional optimization from a network perspective to optimization from a user perspective. Meanwhile, the work of optimizing data analysis is also being refined continuously. With the continuous development of the construction of high-speed railways in China, the perception of high-speed mobile users is gradually emphasized.
Due to the complex environment of the high-speed rail overlay network and the high moving speed of the user, the high-speed moving user is easy to have the events which influence the user perception, such as no service network, extension during access, easy call drop and the like. At present, for the optimization analysis work of high-speed mobile users such as high-speed rails and high-speed mobile users, network optimization analysts can only passively acquire a part of the call information of the high-speed mobile users through user complaints and other ways, and then analyze the abnormal call condition of the high-speed mobile users, but the analysis result obtained based on incomplete information is inevitably inaccurate, so that a method for accurately identifying the high-speed mobile users is urgently needed to be designed so as to achieve the purpose of optimizing the mobile communication network from the user perspective.
Disclosure of Invention
In view of the defects in the prior art, an object of the present invention is to provide a method for identifying a user who travels at a high speed and a computer storage medium, which can quickly and accurately identify the user who travels at a high speed.
In order to achieve the purpose, the technical scheme adopted by the invention is as follows:
a method of identifying a high-speed-driving user, the method comprising:
respectively establishing a plurality of high-speed cell clusters adjacent in position along two directions of a highway, wherein one high-speed cell cluster comprises a plurality of cells;
determining the number of high-speed cell clusters occupied by the user in the driving direction according to the user mobile phone signaling data and the high-speed cell cluster set;
and determining that the user is a high-speed driving user, a suspected high-speed driving user or a non-high-speed driving user according to the number of the high-speed cell clusters occupied by the user in the driving direction.
Further, the method for identifying a high-speed driving user according to the above method for determining the number of high-speed cell clusters occupied by the user in the driving direction according to the user mobile phone signaling data and the high-speed cell cluster set includes:
searching a high-speed cell cluster in the geographical grid range of the user in the corresponding relation between the grid and the high-speed cell cluster according to the grid identification of the geographical grid of the user; the grid identification of the geographical grid where the user is located is generated according to latitude information in the mobile phone signaling data of the user;
and determining the number of the high-speed cell clusters occupied by the user in the driving direction in the searched high-speed cell cluster set according to the cell information in the mobile phone signaling data and the cell identification in the high-speed cell cluster.
Further, the method for identifying a high-speed traveling user according to the above, according to the cell information in the mobile phone signaling data and the cell information in the high-speed cell cluster, determining the number of the high-speed cell clusters occupied by the user in the traveling direction in the searched high-speed cell cluster set, includes:
the searched high-speed cell clusters comprise high-speed cell clusters in two directions of a highway, the high-speed cell clusters in each direction have cluster arrangement directions, and the high-speed cell clusters in each direction are respectively processed as follows:
according to the cell identification in the cell sequence and the cell identification in the high-speed cell cluster, determining the high-speed cell cluster which is possibly occupied by the user in the searched high-speed cell cluster set in the direction; the cell sequence is generated according to cell information in the mobile phone signaling data;
if the cluster arrangement direction of the high-speed cell clusters possibly occupied by the user is the same as the cell arrangement direction in the cell sequence, determining the number of the high-speed cell clusters possibly occupied by the user in the direction as the number of the high-speed cell clusters occupied by the user in the driving direction; the cluster arrangement direction of the high-speed cell cluster is determined according to the high-speed cell cluster arrangement direction of the expressway in the direction;
and if the number of the high-speed cell clusters possibly occupied by the user in the direction is smaller than a second preset value, or the cluster arrangement direction formed by the high-speed cell clusters possibly occupied by the user is different from the cell arrangement direction in the cell sequence, determining that the user does not occupy the high-speed cell clusters in the direction.
Further, the method for identifying a user who is traveling at a high speed according to the number of high-speed cell clusters occupied by the user in the traveling direction, determining that the user is a user who is traveling at a high speed, a suspected user who is traveling at a high speed, or a non-user who is traveling at a high speed, includes:
when the number of the high-speed cell clusters occupied by the user in the driving direction is larger than a first preset number and the driving speed is within a preset speed range, determining that the user is a high-speed driving user; or the like, or, alternatively,
when the number of the high-speed cell clusters occupied by the user in the driving direction is larger than a first preset number and the driving speed is not within a preset speed range, determining that the user is a suspected high-speed driving user; or
If the number of the high-speed cell clusters occupied by the user in the driving direction is between the first preset number and the second preset number, determining that the user is a suspected high-speed driving user, wherein the first preset number is larger than the second preset number; or the like, or, alternatively,
and the number of the high-speed cell clusters occupied by the user in the driving direction is smaller than the second preset number, and the user is determined to be a non-high-speed driving user.
Further, the method for identifying a user who travels at a high speed as described above, in which a plurality of high-speed cell clusters adjacent in position are respectively established along two directions of an expressway, includes:
setting primary road section points in two directions of an expressway respectively by taking an expressway service station as a reference, taking each primary road section point as a cluster center point, and sequentially constructing high-speed cell clusters of each primary road section point along each direction of the expressway.
Further, the method for identifying a user who travels at a high speed as described above, in which the primary link points are respectively set in both directions of the expressway with reference to the expressway service station, includes:
taking the nearest dividing point of each service station in each direction on the expressway as a service station road segment point;
taking a first service station road segment point in each direction as a starting point, and when no other service station road segment point exists in a first distance of the starting point forward direction, establishing a primary road segment point at a division point closest to a second distance position from the starting point, wherein the first distance is greater than the second distance;
and continuously establishing primary road section points by taking the primary road section points as a starting point until the distance between all the primary road section points is smaller than the first distance, and taking all the service station road section points as the primary road section points to obtain all the primary road section points of the expressway in each direction.
Further, the method for identifying a user driving at a high speed as described above, wherein the step of sequentially constructing the high-speed cell cluster of each primary road segment point along each direction of the expressway with each primary road segment point as a cluster center point includes:
for the unidirectional road-following cells of the expressway, extending a third distance to the coverage direction based on the cell coverage direction angle by taking the cell main coverage central point as an original point to obtain a sector area of each cell;
drawing a circle by taking each primary road section point as a circle center and taking the fourth distance as a radius to obtain a circular area of each primary road section point;
judging whether the sector area of each cell and the circular area of each primary road section point have an overlapping area, forming the high-speed cell cluster of the primary road section point by the cells corresponding to all the sector areas overlapped with the circular area of one primary road section point, and obtaining the high-speed cell cluster of each primary road section point in each direction of the high-speed road.
Further, the method for identifying a user who is traveling at a high speed as described above, after determining that the user is a user who is traveling at a high speed, a suspected user who is traveling at a high speed, or a non-user who is traveling at a high speed according to the number of high-speed cell clusters occupied by the user in the traveling direction, further includes:
determining a highway section to which the high-speed driving user belongs according to the high-speed cell cluster in which the high-speed driving user is located; the highway section consists of highway areas limited by different numbers of adjacent high-speed cell clusters;
the number of high-speed traveling users per highway section is determined.
A computer storage medium having a computer program stored therein, wherein the computer program is arranged to perform the method of identifying a high speed driving user according to the invention when running.
An electronic device comprising a memory having a computer program stored therein and a processor configured to run the computer program to perform the method of the present invention for identifying a high speed driving user.
The invention has the beneficial effects that: the method comprises the steps of respectively establishing a plurality of high-speed cell clusters adjacent in position in two directions of the highway, determining the driving direction of a user according to signaling data of a user mobile phone and the established high-speed cell clusters, and determining the user to be a high-speed driving user, a suspected high-speed driving user or a non-high-speed driving user according to the number of the high-speed cell clusters occupied by the user in the driving direction. The invention establishes the high-speed cell clusters which are densely distributed along the road, and the high-speed cell clusters comprise a plurality of cells, and the situation that the user occupies one of the high-speed cell clusters is considered that the user occupies the high-speed cell cluster, thereby avoiding the cluster leakage when the user drives at high speed, ensuring the reliability of the number of the high-speed cell clusters occupied by the user in the driving direction, and further ensuring the reliability of the judgment result of whether the user is the high-speed driving user according to the number of the high-speed cell clusters occupied by the user in the driving direction.
Drawings
Fig. 1 is a schematic flowchart of a method for identifying a user traveling at high speed according to a first embodiment of the present invention;
fig. 2 is a schematic view of a scenario in which a high-speed traveling user occupies a high-speed cell cluster according to a third embodiment of the present invention;
fig. 3 is a schematic view of a scenario in which a high-speed traveling user occupies a high-speed cell cluster according to a third embodiment of the present invention.
Detailed Description
The invention is described in further detail below with reference to the drawings and the detailed description.
High-speed mobile users are easy to have events which affect the perception of the users, such as no service network, extension during access, easy call drop and the like. The optimization analysis work of high-speed mobile driving users such as high-speed rails and high-speed vehicles is carried out, network optimization analysts can only passively acquire a part of the call information of the high-speed mobile users through user complaints and other modes, and the abnormal call condition of the high-speed mobile users is analyzed. In the prior art, the number of base stations and the moving distance are adopted to determine whether a user moves at a high speed, but the method easily misses the base stations, so that the identification result is also inaccurate. The invention provides a method for identifying a high-speed driving user, which divides a highway along a road cell into clusters, such as: and 5 continuous cells are in the same cluster, and one cell occupied by the user occupies a high-speed cell cluster for the user. The reason for drawing the clusters is that one or two cells may be missed during the driving of the high-speed user, but the probability of missing one cluster is small, the number of the obtained clusters is more accurate, and therefore the identification result obtained based on the number of the clusters is more accurate.
Example one
As shown in fig. 1, a method for identifying a user who travels at high speed includes:
step 200, determining the number of high-speed cell clusters occupied by a user in the driving direction according to the user mobile phone signaling data and the high-speed cell cluster;
and step 300, determining that the user is a high-speed driving user, a suspected high-speed driving user or a non-high-speed driving user according to the number of the high-speed cell clusters occupied by the user in the driving direction.
Firstly, densely distributed high-speed cell clusters are respectively established along two directions of a highway, wherein one high-speed cell cluster comprises a plurality of cells. Because one or two cells may be missed during high-speed driving, and one high-speed cell cluster including a plurality of cells is sucked, the user cannot miss the occupied high-speed cell cluster during high-speed driving. The method comprises the steps of determining the number of high-speed cell clusters occupied by a user in the driving direction according to user mobile phone signaling data and a high-speed cell cluster set, ensuring that the number of the cell clusters occupied by the user is reliable because the user cannot miss the clusters, finally determining whether the user is a high-speed driving user, a suspected high-speed driving user or a non-high-speed driving user according to the number of the high-speed cell clusters occupied by the user in the driving direction, determining whether the user is the high-speed driving user or not based on the determined number of the high-speed cell clusters with reliability, and further ensuring the reliability of a judgment result.
The mobile phone signaling data refers to a series of control instructions generated by the mobile communication network for actively or passively, regularly or irregularly keeping contact with the mobile terminal of the mobile phone user, and comprises fields such as a mobile phone identification code, a timestamp, an event type, a base station number, base station longitude and latitude, a number attribution and the like.
Preferably, after step 300, further comprising:
step 400, determining a highway section to which the high-speed driving user belongs according to the high-speed cell cluster in which the high-speed driving user is located; the highway section consists of highway areas limited by different numbers of adjacent high-speed cell clusters;
the number of high-speed traveling users per highway section is determined.
By the method, whether a certain user on the expressway is a high-speed driving user or not can be determined, the expressway section to which the high-speed driving user belongs is determined according to the high-speed cell cluster in which the high-speed driving user is located, and the number of the high-speed driving users on the expressway section is further determined. The highway section is divided based on the high-speed cell clusters, and the highway section can be designed into highway regions defined by a plurality of (4-10) adjacent high-speed cell clusters, for example, the highway section I is a highway region defined by 4 adjacent high-speed cell clusters, and the highway section II is a highway region defined by 6 adjacent high-speed cell clusters.
Example two
The implementation of steps 200 and 300 in the first embodiment is described in detail below.
Step 200, determining the number of high-speed cell clusters occupied by the user in the driving direction according to the user mobile phone signaling data and the high-speed cell cluster set, wherein the step comprises the following steps:
step 210, searching a high-speed cell cluster in the range of the geographical grid where the user is located in the corresponding relation between the grid and the high-speed cell cluster according to the grid identification of the geographical grid where the user is located; the grid identification of the geographical grid where the user is located is generated according to latitude information in the mobile phone signaling data of the user;
and step 220, determining the number of the high-speed cell clusters occupied by the user in the driving direction in the searched high-speed cell cluster set according to the cell information in the mobile phone signaling data and the cell identification in the high-speed cell cluster.
The user mobile phone signaling data comprises: user identification number (imsi), time, Tracking Area CODE (TAC), network cell identifier (ECI), and longitude and latitude (longitude and latitude of the cell base station without the longitude and latitude in the data).
1. And generating a range grid identifier corresponding to the user according to the longitude and latitude information of the user and the distance precision level reasonably set by the road length.
2. And generating a plurality of cluster range grid identifications according to the center point coordinates and the precision levels of the high-speed cell clusters. A cluster area grid may contain multiple high speed cell clusters. Therefore, the high-speed road section comprises a plurality of cluster range grids, one cluster range grid mark corresponds to one high-speed cell cluster, and one high-speed cell cluster comprises a plurality of high-speed cell clusters. The correspondence between the grid and the high-speed cell clusters reflects which high-speed cell clusters correspond to each cluster range grid identifier.
3. And comparing the range grid mark of the user with each cluster range grid mark, and judging whether the user is in the cluster range grid. And if the user is in the cluster range grid, considering the high-speed cell cluster corresponding to the cluster range grid as the high-speed cell cluster in the geographical grid range of the user.
And step 220, determining the number of the high-speed cell clusters occupied by the user in the driving direction in the searched high-speed cell cluster set according to the cell information in the mobile phone signaling data and the cell identification in the high-speed cell cluster.
After determining the high-speed cell cluster in the geographical grid range where the user is, comparing the tracking area code and the cell identification of the user with the cell identification of each high-speed cell cluster in the searched high-speed cell cluster to determine the high-speed cell cluster in which the user is. As long as a user occupies one cell in the high-speed cell cluster, the user is considered to occupy the high-speed cell cluster.
Typically, a highway section has two directions of travel, and correspondingly, a user traveling at high speed also has a direction of travel. In order to more accurately determine the number of high-speed cell clusters occupied by the user in the driving direction, the invention also provides the following embodiments:
step 220, according to the cell information in the mobile phone signaling data and the cell information in the high-speed cell cluster, determining the number of the high-speed cell clusters occupied by the user in the driving direction in the searched high-speed cell cluster set, including:
the searched high-speed cell clusters comprise high-speed cell clusters in two directions of a highway, the high-speed cell clusters in each direction have cluster arrangement directions, and the high-speed cell clusters in each direction are respectively processed as follows:
step 221, according to the cell identifiers in the cell sequence and the cell identifiers in the high-speed cell cluster, determining the high-speed cell cluster which is possibly occupied by the user in the high-speed cell cluster set searched in the direction; the cell sequence is generated according to cell information in the mobile phone signaling data;
the cell information includes: cell identification and time stamp. The cell sequence includes a cell identity and a cell arrangement direction (an arrangement direction is formed by occupying time).
Step 222, if the cluster arrangement direction of the high-speed cell clusters possibly occupied by the user is the same as the cell arrangement direction in the cell sequence, determining the number of the high-speed cell clusters possibly occupied by the user in the direction as the number of the high-speed cell clusters occupied by the user in the driving direction; the cluster arrangement direction of the high-speed cell cluster is determined according to the high-speed cell cluster arrangement direction of the expressway in the direction;
step 223, if the number of the high speed cell clusters that the user may occupy in the direction is smaller than a second preset value, or the cluster arrangement direction formed by the high speed cell clusters that the user may occupy is different from the cell arrangement direction in the cell sequence, determining that the user does not occupy the high speed cell cluster in the direction.
According to the difference of the number of the high-speed cell clusters occupied by the user in the driving direction, the user can be distinguished, and the invention also provides the following embodiment:
step 310, determining that the user is a high-speed driving user when the number of the high-speed cell clusters occupied by the user in the driving direction is larger than a first preset number and the driving speed is within a preset speed range; or the like, or, alternatively,
step 320, when the number of the high-speed cell clusters occupied by the user in the driving direction is larger than a first preset number and the driving speed is not within a preset speed range, determining that the user is a suspected high-speed driving user; or
Step 330, if the number of the high-speed cell clusters occupied by the user in the driving direction is between a first preset number and a second preset number, determining that the user is a suspected high-speed driving user, wherein the first preset number is larger than the second preset number; or the like, or, alternatively,
and 340, determining that the user is a non-high-speed driving user when the number of the high-speed cell clusters occupied by the user in the driving direction is less than a second preset number.
As shown in fig. 3, if the number of high-speed cell clusters occupied by the user in the driving direction is greater than 4 (a first preset number) and the driving speed is 60 to 120 KM/h (a preset speed range), it is determined that the user is a high-speed driving user. And if the number of the high-speed cell clusters occupied by the user in the driving direction is more than 4 and the driving speed is not in a range of 60-120 KM/hour (preset speed range), determining that the user is a suspected high-speed driving user. As shown in fig. 2, if the number of high speed cell clusters occupied by the user in the driving direction is between 4 (a first preset number) and 2 (a second preset number), it is determined that the user is a suspected high speed driving user. And if the number of the high-speed cell clusters occupied by the user in the driving direction is less than 2, determining that the user is a non-high-speed driving user. The arrows in fig. 2-3 indicate the driving direction of the user and also indicate the cluster arrangement direction formed by the high-speed cell clusters occupied by the user, and the circles indicate the high-speed cell clusters.
EXAMPLE III
The implementation of step 100 in the first embodiment is described in detail below.
setting primary road section points in two directions of the expressway respectively by taking the expressway service station as a reference, and sequentially constructing high-speed cell clusters of the primary road section points along each direction of the expressway by taking the primary road section points as cluster center points.
Setting primary road section points in two directions of an expressway respectively by taking the expressway service station as a reference, comprising:
taking the nearest dividing point of each service station in each direction on the expressway as a service station road segment point;
taking the first service station road segment point in each direction as a starting point, and when no other service station road segment point exists in a first distance of the starting point forward direction, establishing a primary road segment point at a division point closest to a second distance position from the starting point, wherein the first distance is greater than the second distance;
and continuously establishing the primary road section points by taking the primary road section points as a starting point until the distance between all the primary road section points is less than the first distance, and taking all the service station road section points as the primary road section points to obtain all the primary road section points of the expressway in each direction.
Firstly, a closest dividing point of a service station in one direction of an expressway on the expressway is found as a service station road segment point, preliminary road segment division is carried out among the service station road segment points, specifically, according to the expressway, one service station road segment point is taken as a starting point, when no other service station road segment points exist in the advancing direction of the service station within 1.5KM (first distance), a road dividing point closest to the position of the service station within 1KM (second distance) is found to establish a new road segment point, the operation is repeated by taking the new road segment point as the starting point until the distance between all the road segment points is smaller than 1.5KM (first distance), and all the primary road segment points in the two directions of the expressway are obtained, wherein all the service station road segment points are taken as the primary road segment points, and the position information of all the primary road segment points is recorded.
The information of the service stations in two directions of the expressway can be obtained by exporting from the image layer of the national expressway toll stations through Mapinfo software, the incomplete data can be obtained through map software such as a Baidu map, the exported data comprises the position, name data and the like of the service stations in two directions of the expressway, and the corresponding expressway can be matched manually. All the service station road section points are used as primary road section points, and the position information of the service station road section points is obtained through server information.
Taking each primary road section point as a cluster center point, and sequentially constructing the high-speed cell cluster of each primary road section point along each direction of the high-speed road comprises the following steps:
for the unidirectional road-following cells of the expressway, extending a third distance to the coverage direction based on the cell coverage direction angle by taking the cell main coverage central point as the original point to obtain the sector area of each cell;
a cell has its cell coverage direction angle, where along the way the cell extends in its own coverage direction, typically a sector area, which is intended to intersect with the underlying circular area.
Drawing a circle by taking each primary road section point as a circle center and taking the fourth distance as a radius to obtain a circular area of each primary road section point;
judging whether the sector area of each cell and the circular area of each primary section point have an overlapping area, forming the high-speed cell cluster of the primary section point by the cells corresponding to all the sector areas overlapped with the circular area of one primary section point, and obtaining the high-speed cell cluster of each primary section point in each direction of the high-speed road.
And extending a third distance to the coverage direction based on the cell coverage direction angle by taking the cell main coverage central point as an origin to obtain a sector area covered by the cell, wherein the third distance is set according to the area where the cell is located, and is set to be 100 meters if the cell is in a dense urban area and is set to be 200 meters if the cell is in a suburban area and a rural area.
And drawing a circle by taking the position of each primary road section point as the center of the circle and taking 300 meters (fourth distance) as the radius to obtain a circular area of each primary road section point, wherein the cells corresponding to the sector area overlapped with the circular area form a high-speed cell cluster of the primary road section point, for example, the circular area of the primary road section point A is respectively overlapped with the sector areas covered by 3 cells, and then the 3 cells form the high-speed cell cluster of the primary road section point A.
Example four
The invention also provides a computer storage medium, in which a computer program is stored, wherein the computer program can execute the method for identifying a user who travels at high speed. The storage medium includes at least one of: the method for identifying the high-speed driving user can be realized by converting the method for identifying the high-speed driving user into data (computer program) recorded in the storage medium, such as putting the hard disk on which the computer program of the method for identifying the high-speed driving user is recorded into a computer for running, wherein the method for identifying the high-speed driving user comprises a floppy disk, an optical disk, a DVD, a hard disk, a flash memory, a U disk, a CF card, an SD card, an MMC card, an SM card, a memory stick, an xD card and the like.
EXAMPLE five
The invention also provides an electronic device comprising a memory and a processor, wherein the memory stores a computer program, and the processor is configured to run the computer program to execute the method for identifying the high-speed driving user. The memory belongs to the storage medium in the fourth embodiment, and can store the computer program of the identification method of the high-speed driving user, the processor can process the data in the memory, and the electronic device can be a computer, a mobile phone or any other device comprising the memory and the processor. After the computer is started, the starting processor runs the computer program of the identification method of the high-speed driving user in the memory, so that the identification method of the high-speed driving user can be realized.
It will be apparent to those skilled in the art that various changes and modifications may be made in the present invention without departing from the spirit and scope of the invention. Thus, if such modifications and variations of the present invention fall within the scope of the claims of the present invention and their equivalents, the present invention is intended to include such modifications and variations.
Claims (10)
1. A method for identifying a user traveling at high speed, the method comprising:
respectively establishing a plurality of high-speed cell clusters adjacent in position along two directions of a highway, wherein one high-speed cell cluster comprises a plurality of cells;
determining the number of high-speed cell clusters occupied by the user in the driving direction according to the user mobile phone signaling data and the high-speed cell cluster set;
and determining that the user is a high-speed driving user, a suspected high-speed driving user or a non-high-speed driving user according to the number of the high-speed cell clusters occupied by the user in the driving direction.
2. The method for identifying a user traveling at a high speed according to claim 1, wherein determining the number of high-speed cell clusters occupied by the user in the traveling direction according to the user's mobile phone signaling data and the high-speed cell clusters comprises:
searching a high-speed cell cluster in the geographical grid range of the user in the corresponding relation between the grid and the high-speed cell cluster according to the grid identification of the geographical grid of the user; the grid identification of the geographical grid where the user is located is generated according to latitude information in the mobile phone signaling data of the user;
and determining the number of the high-speed cell clusters occupied by the user in the driving direction in the searched high-speed cell cluster set according to the cell information in the mobile phone signaling data and the cell identification in the high-speed cell cluster.
3. The method for identifying a user traveling at a high speed according to claim 2, wherein determining the number of the high-speed cell clusters occupied by the user in the traveling direction in the searched high-speed cell cluster set according to the cell information in the mobile phone signaling data and the cell information in the high-speed cell clusters comprises:
the searched high-speed cell clusters comprise high-speed cell clusters in two directions of a highway, the high-speed cell clusters in each direction have cluster arrangement directions, and the high-speed cell clusters in each direction are respectively processed as follows:
according to the cell identification in the cell sequence and the cell identification in the high-speed cell cluster, determining the high-speed cell cluster which is possibly occupied by the user in the searched high-speed cell cluster set in the direction; the cell sequence is generated according to cell information in the mobile phone signaling data;
if the cluster arrangement direction of the high-speed cell clusters possibly occupied by the user is the same as the cell arrangement direction in the cell sequence, determining the number of the high-speed cell clusters possibly occupied by the user in the direction as the number of the high-speed cell clusters occupied by the user in the driving direction; the cluster arrangement direction of the high-speed cell cluster is determined according to the high-speed cell cluster arrangement direction of the expressway in the direction;
and if the number of the high-speed cell clusters possibly occupied by the user in the direction is smaller than a second preset value, or the cluster arrangement direction formed by the high-speed cell clusters possibly occupied by the user is different from the cell arrangement direction in the cell sequence, determining that the user does not occupy the high-speed cell clusters in the direction.
4. The method according to any one of claims 1 to 3, wherein determining that the user is a high-speed driving user, a suspected high-speed driving user, or a non-high-speed driving user according to the number of high-speed cell clusters occupied by the user in the driving direction comprises:
when the number of the high-speed cell clusters occupied by the user in the driving direction is larger than a first preset number and the driving speed is within a preset speed range, determining that the user is a high-speed driving user; or the like, or, alternatively,
when the number of the high-speed cell clusters occupied by the user in the driving direction is larger than a first preset number and the driving speed is not within a preset speed range, determining that the user is a suspected high-speed driving user; or
If the number of the high-speed cell clusters occupied by the user in the driving direction is between the first preset number and the second preset number, determining that the user is a suspected high-speed driving user, wherein the first preset number is larger than the second preset number; or the like, or, alternatively,
and the number of the high-speed cell clusters occupied by the user in the driving direction is smaller than the second preset number, and the user is determined to be a non-high-speed driving user.
5. The method for identifying a user traveling at high speed according to claim 1, wherein the step of establishing a plurality of high-speed cell clusters adjacent in position in each of two directions of the expressway comprises:
setting primary road section points in two directions of an expressway respectively by taking an expressway service station as a reference, taking each primary road section point as a cluster center point, and sequentially constructing high-speed cell clusters of each primary road section point along each direction of the expressway.
6. The method for identifying a user traveling at high speed according to claim 5, wherein the setting of the primary link point in each of the two directions of the expressway with reference to the expressway service station comprises:
taking the nearest dividing point of each service station in each direction on the expressway as a service station road segment point;
taking a first service station road segment point in each direction as a starting point, and when no other service station road segment point exists in a first distance of the starting point forward direction, establishing a primary road segment point at a division point closest to a second distance position from the starting point, wherein the first distance is greater than the second distance;
and continuously establishing primary road section points by taking the primary road section points as a starting point until the distance between all the primary road section points is smaller than the first distance, and taking all the service station road section points as the primary road section points to obtain all the primary road section points of the expressway in each direction.
7. The method for identifying a user traveling at high speed according to claim 5, wherein the step of sequentially constructing the high-speed cell cluster of each primary link point along each direction of the expressway with each primary link point as a cluster center point comprises:
for the unidirectional road-following cells of the expressway, extending a third distance to the coverage direction based on the cell coverage direction angle by taking the cell main coverage central point as an original point to obtain a sector area of each cell;
drawing a circle by taking each primary road section point as a circle center and taking the fourth distance as a radius to obtain a circular area of each primary road section point;
judging whether the sector area of each cell and the circular area of each primary road section point have an overlapping area, forming the high-speed cell cluster of the primary road section point by the cells corresponding to all the sector areas overlapped with the circular area of one primary road section point, and obtaining the high-speed cell cluster of each primary road section point in each direction of the high-speed road.
8. The method according to any one of claims 1 to 3, wherein after determining that the user is a high-speed driving user, a suspected high-speed driving user, or a non-high-speed driving user according to the number of high-speed cell clusters occupied by the user in the driving direction, the method further comprises:
determining a highway section to which the high-speed driving user belongs according to the high-speed cell cluster in which the high-speed driving user is located; the highway section consists of highway areas limited by different numbers of adjacent high-speed cell clusters;
the number of high-speed traveling users per highway section is determined.
9. A computer storage medium, in which a computer program is stored, wherein the computer program is arranged to execute the method of identifying a high-speed-travel user according to any one of claims 1 to 8 when running.
10. An electronic device comprising a memory and a processor, wherein the memory stores a computer program, and the processor is configured to execute the computer program to perform the method for identifying a high-speed-driving user according to any one of claims 1 to 8.
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