CN113473367A - Method, apparatus, device and medium for correcting motion trail of mobile user - Google Patents

Method, apparatus, device and medium for correcting motion trail of mobile user Download PDF

Info

Publication number
CN113473367A
CN113473367A CN202110771365.4A CN202110771365A CN113473367A CN 113473367 A CN113473367 A CN 113473367A CN 202110771365 A CN202110771365 A CN 202110771365A CN 113473367 A CN113473367 A CN 113473367A
Authority
CN
China
Prior art keywords
track point
road
speed value
point
track
Prior art date
Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
Granted
Application number
CN202110771365.4A
Other languages
Chinese (zh)
Other versions
CN113473367B (en
Inventor
邸学锋
袁林
傅强
阿曼太
马洪彬
窦晶
贾立军
米胜山
范晓波
张赫男
刘道林
姜双双
智斌
王杰
杨满智
蔡琳
梁彧
田野
金红
陈晓光
Current Assignee (The listed assignees may be inaccurate. Google has not performed a legal analysis and makes no representation or warranty as to the accuracy of the list.)
Eversec Beijing Technology Co Ltd
Original Assignee
Eversec Beijing Technology Co Ltd
Priority date (The priority date is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the date listed.)
Filing date
Publication date
Application filed by Eversec Beijing Technology Co Ltd filed Critical Eversec Beijing Technology Co Ltd
Priority to CN202110771365.4A priority Critical patent/CN113473367B/en
Priority claimed from CN202110771365.4A external-priority patent/CN113473367B/en
Publication of CN113473367A publication Critical patent/CN113473367A/en
Application granted granted Critical
Publication of CN113473367B publication Critical patent/CN113473367B/en
Active legal-status Critical Current
Anticipated expiration legal-status Critical

Links

Images

Classifications

    • HELECTRICITY
    • H04ELECTRIC COMMUNICATION TECHNIQUE
    • H04WWIRELESS COMMUNICATION NETWORKS
    • H04W4/00Services specially adapted for wireless communication networks; Facilities therefor
    • H04W4/02Services making use of location information
    • H04W4/023Services making use of location information using mutual or relative location information between multiple location based services [LBS] targets or of distance thresholds
    • HELECTRICITY
    • H04ELECTRIC COMMUNICATION TECHNIQUE
    • H04WWIRELESS COMMUNICATION NETWORKS
    • H04W4/00Services specially adapted for wireless communication networks; Facilities therefor
    • H04W4/02Services making use of location information
    • H04W4/025Services making use of location information using location based information parameters
    • H04W4/027Services making use of location information using location based information parameters using movement velocity, acceleration information

Landscapes

  • Engineering & Computer Science (AREA)
  • Computer Networks & Wireless Communication (AREA)
  • Signal Processing (AREA)
  • Navigation (AREA)

Abstract

The embodiment of the invention discloses a method and a device for correcting a motion trail of a mobile user, computer equipment and a storage medium. The motion trail correction method for the mobile user comprises the following steps: acquiring a track point set to be corrected corresponding to a mobile user, wherein each track point in the track point set is a signaling data positioning point acquired by the mobile user in the process of using a mobile network; generating a speed value set matched with the track point set according to the positioning information and the time information of each track point, wherein each speed value in the speed value set is used for describing the moving speed of the mobile user between two adjacent track points in the track point set; determining road types respectively corresponding to the track points according to the speed value set and speed value ranges of different road types; and mapping each track point to an actual road in the road network data according to the road type and the positioning information of each track point. The invention achieves the effect of accurately determining the motion trail by optimizing the motion trail.

Description

Method, apparatus, device and medium for correcting motion trail of mobile user
Technical Field
The embodiment of the invention relates to a positioning technology of a mobile user, in particular to a method and a device for correcting a motion trail of the mobile user, computer equipment and a storage medium.
Background
With the development of communication technology, the construction scale of mobile networks is gradually enlarged, and for operators and users in special industries, the requirement for positioning mobile users is higher and higher.
In the prior art, a communication device or an operator device locates a user by acquiring signaling data in real time during a process that a mobile user uses a mobile network, and forms a motion track of the user by sequentially connecting each locating point.
However, when the user of the signaling data is located, the geographic location information of the serving cell is used for location, and the location accuracy of the location point is poor, so that an error between a motion trajectory obtained by using the location point and an actual motion trajectory of the user is also large, and the user may be located at various unreasonable positions such as upstairs, in water, and the like.
Disclosure of Invention
The embodiment of the invention provides a method and a device for correcting a motion trail of a mobile user, computer equipment and a storage medium, so as to realize the effect of accurately determining the motion trail of the user and enabling the determined motion trail to be closer to the real trail of the user.
In a first aspect, an embodiment of the present invention provides a method for correcting a motion trajectory of a mobile user, including:
acquiring a track point set to be corrected corresponding to a mobile user, wherein each track point in the track point set is a signaling data positioning point acquired by the mobile user in the process of using a mobile network;
generating a speed value set matched with the track point set according to the positioning information and the time information of each track point, wherein each speed value in the speed value set is used for describing the moving speed of the mobile user between two adjacent track points in the track point set;
determining road types respectively corresponding to the track points according to the speed value set and speed value ranges of different road types;
and mapping each track point to an actual road in the road network data according to the road type and the positioning information of each track point.
In a second aspect, an embodiment of the present invention further provides a device for correcting a motion trajectory of a mobile user, including:
the system comprises a track point set acquisition module, a track point correction module and a correction module, wherein the track point set acquisition module is used for acquiring a track point set to be corrected corresponding to a mobile user, and each track point in the track point set is a signaling data positioning point acquired by the mobile user in the process of using a mobile network;
the speed value set generating module is used for generating a speed value set matched with the track point set according to the positioning information and the time information of each track point, and each speed value in the speed value set is used for describing the moving speed of the mobile user between two adjacent track points in the track point set;
the road type determining module is used for determining road types respectively corresponding to the track points according to the speed value set and speed value ranges of different road types;
and the track point mapping module is used for mapping each track point to an actual road in the road network data according to the road type and the positioning information of each track point.
In a third aspect, an embodiment of the present invention provides a computer device, including:
one or more processors;
a storage device for storing one or more programs,
when the one or more programs are executed by the one or more processors, the one or more processors implement the method for motion trajectory modification of a mobile user according to the first aspect.
In a fourth aspect, the present invention further provides a storage medium containing computer-executable instructions, which when executed by a computer processor, are used to execute the motion trajectory modification method for a mobile user according to the first aspect.
According to the technical scheme of the embodiment of the invention, after the track point set determined by the signaling data positioning points is obtained, the road type corresponding to each track point can be determined by calculating the moving speed of the user between every two adjacent track points, and then each track point can be mapped onto the actual road in the road network data, so that the problem of large error between the motion track obtained by directly using the signaling data positioning points and the actual motion track of the user is solved, and the effect of accurately determining the motion track of the user and enabling the determined motion track to be closer to the actual track of the user is achieved.
Drawings
Fig. 1 is a flowchart of a motion trajectory correction method for a mobile user according to an embodiment of the present invention;
FIG. 2 is a diagram illustrating a motion trajectory of a mobile user according to an embodiment of the present invention;
fig. 3 is a flowchart illustrating an implementation of a motion trajectory modification method for a mobile user according to a second embodiment of the present invention;
fig. 4 is a flowchart illustrating an implementation of a motion trajectory correction method for a mobile user according to a third embodiment of the present invention;
fig. 5 is a schematic structural diagram of a motion trajectory correction apparatus for a mobile user according to a fourth embodiment of the present invention;
fig. 6 is a schematic structural diagram of a computer device according to a fifth embodiment of the present invention.
Detailed Description
The embodiments of the present invention will be described in further detail with reference to the drawings and examples. It is to be understood that the specific embodiments described herein are merely illustrative of and not restrictive on the broad invention. It should be further noted that, for convenience of description, only some structures, not all structures, relating to the embodiments of the present invention are shown in the drawings.
The road network data used in the embodiments of the present invention may be road network data provided by a Geographic Information System (GIS). The GIS is a specific spatial information system, which is a technical system for collecting, storing, managing, operating, analyzing, displaying and describing relevant geographic distribution data in the whole or partial earth surface space under the support of a computer hardware and software system. It should be noted that the embodiment of the present invention may also use road network data provided by other systems having the same or similar functions as the GIS.
Example one
Fig. 1 is a flowchart of a method for correcting a motion trajectory of a mobile user according to an embodiment of the present invention, where the embodiment is applicable to a situation where a motion trajectory of a user needs to be accurately calculated, the method may be executed by a device for correcting a motion trajectory of a mobile user, the device may be implemented in a software and/or hardware manner, and may be generally integrated in a computer device, for example, a terminal device or a server, and the method specifically includes the following steps:
s110: and acquiring a track point set to be corrected corresponding to the mobile user, wherein each track point in the track point set is a signaling data positioning point acquired by the mobile user in the process of using the mobile network.
Fig. 2 is a schematic diagram of a motion trajectory of a mobile user to which an embodiment of the present invention is applied. The communication device or the mobile operator device collects each signaling data locating point generated in real time in the process of using the mobile network by the mobile user, and as shown in fig. 2, the communication device or the operator device obtains a set of track points to be corrected corresponding to the mobile user, namely, the obtained set of track points comprises a track point a, a track point B, a track point C, a track point D and a track point E. The trace points are signaling data locating points acquired by the communication device or the operator device in the process of using the mobile network by the mobile user, for example, the communication device needs to use the base station closest to the communication device in the communication process, so the locating point of the base station closest to the communication device is acquired as the signaling data locating point, and further the signaling data locating point is used as the trace points to form a trace point set.
It should be noted that the communication device or the operator device may merge at least two signaling data anchor points that are continuously acquired and have the same positioning information into the same merged anchor point, and acquire time information corresponding to each merged anchor point. As shown in fig. 2, when the user is in the range of 210, because the user corresponds to the same base station all the time, the positioning information of the signaling data positioning point collected by the communication device or the operator device is the positioning information of the track point a all the time, and at this time, the signaling data positioning points with the same positioning information are combined to obtain the time information corresponding to the combined positioning point. Optionally, the communication device obtains an initial merged signaling data locating point and a termination merged signaling data locating point corresponding to each merged locating point, that is, when the communication device or the operator device continuously acquires 5 locating information at track points a within the range 210, the 5 locating information respectively corresponds to 5 pieces of time information, where a locating point corresponding to the earliest time information is the initial merged signaling data locating point, and a locating point corresponding to the latest time information is the termination merged signaling data locating point. Then, the communication device or the operator device calculates the time information corresponding to each merged positioning point according to the time information of the initial merged signaling data positioning point and the termination merged signaling data positioning point. Optionally, the time information of the start merged signaling data locating point and the stop merged signaling data locating point may be averaged to obtain the time information corresponding to the merged locating point.
And sequencing the currently existing signaling data positioning points and/or combined positioning points according to the sequence of the time information from front to back to obtain a track point set to be corrected.
S120: and generating a speed value set matched with the track point set according to the positioning information and the time information of each track point, wherein each speed value in the speed value set is used for describing the moving speed of the mobile user between two adjacent track points in the track point set.
The information of each track point comprises positioning information and time information, and a speed value set matched with the track point set can be generated according to the positioning information and the time information. Optionally, the current processing track point is sequentially acquired from the track point set, and a next adjacent track point of the current processing track point is acquired, for example, the current processing track point is a track point a, and the next adjacent track point of the track point a is a track point B.
And calculating the moving speed of the mobile user between the current processing track point and the next adjacent track point according to the positioning information and the time information of the current processing track point and the next adjacent track point, and adding the calculation result into the speed value set. For example, the location information of the track point A is PAThe time information is TAThe positioning information of the track point B is PBThe time information is TB,PBAnd PAA distance S betweenABI.e. the distance, T, between the tracing point A and the tracing point BBAnd TAThe difference is the time T that it takes for the user to move from track point A to track point BABBy SABDivided by TABThe moving speed V of the mobile user between the track point A and the track point B can be obtainedABAnd will calculate the result VABAdded to the velocity value set.
And returning to execute the operation of sequentially acquiring the current processing track point from the track point set until the calculation of the moving speed between all adjacent track points is completed, and obtaining the moving speed V between the track point B and the track point C in the same wayBCThe moving speed V between the track point C and the track point DCDAnd the moving speed V between the track point D and the track point EDE. The resulting individual speed values constitute a set of speed values, which may include, for example, VAB、VBC、VCDAnd VDE
S130: and determining the road type corresponding to each track point according to the speed value set and the speed value ranges of different road types.
Through GIS road network data, communication equipment or operator equipment can acquire different types of roads near track points, and different road types are defined for different speed value ranges, for example, the moving speed is in the range of 60 km/h-100 km/h, the road type where the movement track of a user is presumed is an expressway, the moving speed is in the range of 40 km/h-60 km/h, the road type where the movement track of the user is presumed is an urban expressway, the moving speed is in the range of 20 km/h-40 km/h, and the movement track of the user is presumedThe road type is a rural trail. Suppose VAB=90km/h、VBC=80km/h、VCD50km/h and VDEIf the type of the road where the movement track from the track point A to the track point B is located is 30km/h, the type of the road from the track point B to the track point C is an expressway, the type of the road from the track point C to the track point D is an urban expressway, and the type of the road from the track point D to the track point E is a rural trail.
S140: and mapping each track point to an actual road in the road network data according to the road type and the positioning information of each track point.
And constructing a road point query instruction corresponding to each track point according to the road type and the positioning information of each track point. As shown in fig. 2, a road point query instruction for a track point a and a track point B is constructed according to the positioning information of the track point a and the track point B. And calling a road point query interface provided by a GIS (geographic information system) according to each road point query instruction, and acquiring road positioning points corresponding to each track point so as to map each track point to an actual road in road network data. As shown in fig. 2, two known actual roads shown as a solid line and a dashed line are provided near the track point a obtained in the road network data, where the road type of the dashed line is a rural area minor road, and the solid line is an expressway, and as described in S130, if the road type on which the motion track at the track point a is located is an expressway, the track point a may be mapped onto the expressway shown as the solid line and a road closest to the track point a (e.g., a 'in fig. 2) by calling a road point query interface provided by the GIS system according to the positioning information of the track point a and the road of the expressway type corresponding to the positioning information, and the positioning information of the track point a' is output accordingly, so that the track point a is mapped onto the actual road in the road network data.
Correspondingly, through the operation, each track point can be mapped to an actual road in road network data respectively to obtain a plurality of new track points on the actual road, and the motion trail of the mobile user, which better accords with the actual situation, can be obtained by sequentially connecting the new track points. According to the technical scheme of the embodiment of the invention, after the track point set determined by the signaling data positioning points is obtained, the road type corresponding to each track point can be determined by calculating the moving speed of the user between every two adjacent track points, and then each track point can be mapped onto the actual road in the road network data, so that the problem of large error between the motion track obtained by directly using the signaling data positioning points and the actual motion track of the user is solved, and the effect of accurately determining the motion track of the user and enabling the determined motion track to be closer to the actual track of the user is achieved.
Example two
Fig. 3 is a flowchart illustrating an implementation of a motion trajectory correction method for a mobile user according to a second embodiment of the present invention. In this embodiment, after generating a velocity value set matched with the track point set according to the positioning information and the time information of each track point in S120, the optimization is performed based on the above embodiment, and the method further includes: correspondingly, the method of the embodiment of the present invention specifically includes:
and S310, acquiring a track point set to be corrected corresponding to the mobile user.
Each track point in the track point set is a signaling data positioning point acquired by a mobile user in the process of using the mobile network.
And S320, generating a speed value set matched with the track point set according to the positioning information and the time information of each track point.
And each speed value in the speed value set is used for describing the moving speed of the mobile user between two adjacent track points in the track point set.
S330, sequentially acquiring a first current speed value from the speed value set.
S340, determining whether there is a set number of backward neighboring speed values located after the first current speed value in the speed value set: if yes, go to S350; otherwise, S360 is performed.
Using the same definition as in the first embodiment, the set of velocity values is { V }AB、VBC、VCDAnd VDEThe communication equipment or the operator equipment acquires V in the speed value setABAs the first current velocity value, and judging the first current velocity value, i.e. VABAfter that there is a set number of backward neighboring velocity values, which can be set according to the actual need for the degree of smoothing, e.g. where the number is set to 2, i.e. the decision V is madeABAfter which there are 2 velocity values adjacent.
S350, calculating an average speed value according to the first current speed value and each of the backward neighboring speed values, updating the first current speed value in the speed value set by using the average speed value, and executing S370.
As shown in FIG. 2, VABAfter which there are adjacent 2 velocity values VBCAnd VCDThen to VAB、VBCAnd VCDAverage velocity value VAB averageIn combination with VAB averageAlternative VAB
S360, using a previous speed value in the speed value set located before the first current speed value, updating the first current speed value in the speed value set, and executing S370.
For example, when V in a set of velocity values is obtainedCDAs the first current speed value, VCDAfter which only one velocity value V is presentDEThat is, there are no 2 backward neighboring velocity values after the first current velocity value, and V is used in this caseCDPrevious speed value VBCCome to VCDAnd (6) updating.
S370, judging whether the processing of all the speed values in the speed value set is finished: if yes, go to S380; otherwise, return to execute S330.
And S380, determining the road type corresponding to each track point according to the speed value set and the speed value ranges of different road types.
And S390, mapping each track point to an actual road in the road network data according to the road type and the positioning information of each track point.
According to the technical scheme of the embodiment of the invention, the speed value set matched with the track point set is subjected to smoothing processing, so that the problem that the judged road type span is too large due to too large difference between two adjacent speed values is solved, and the effects of neutralizing errors caused by rapid change of speed and enabling the determined motion track to be closer to the real track of a user are achieved.
EXAMPLE III
Fig. 4 is a flowchart illustrating an implementation of a motion trajectory correction method for a mobile user according to a third embodiment of the present invention. The present embodiment provides a processing method in the case where there is an overlap of speed values between speed value ranges of different road classes. For example, when the moving speed is in the range of more than 120km/h, the road grade of the estimated user's moving track is a top grade road, the moving speed is in the range of 100km/h to 120km/h, the road grade of the estimated user's moving track is a special grade road, the moving speed is in the range of 60km/h to 100km/h, the road grade of the estimated user's moving track is a first grade road, the moving speed is in the range of 40km/h to 70km/h, the road grade of the estimated user's moving track is a second grade road, the moving speed is in the range of 20km/h to 50km/h, and the road grade of the estimated user's moving track is a third grade road. That is, the moving speed is in the range of 60km/h to 70km/h, and the road type may be a primary road or a secondary road; the moving speed is in the range of 40 km/h-50 km/h, and the road type can be a secondary road or a tertiary road. Correspondingly, the method of the embodiment of the invention specifically comprises the following steps:
and S410, acquiring a track point set to be corrected corresponding to the mobile user.
Each track point in the track point set is a signaling data positioning point acquired by a mobile user in the process of using the mobile network.
And S420, generating a speed value set matched with the track point set according to the positioning information and the time information of each track point.
And each speed value in the speed value set is used for describing the moving speed of the mobile user between two adjacent track points in the track point set.
And S430, sequentially acquiring a second current speed value from the speed value set.
For example, in the velocity value set VAB=90km/h、VBC=65km/h、VCD45km/h and VDEThe second current speed value is obtained, where the naming of the second current speed value is to distinguish from the first current speed value in the second embodiment, and the second current speed value is sequentially taken as the speed value set VAB=90km/h、VBC=65km/h、VCD45km/h and VDEOf the respective values in (1).
S440, inquiring a mapping relation between a preset speed value range and a road grade, and acquiring at least one alternative road grade corresponding to the second current speed value.
Where there is an overlap of speed values between the speed value ranges of different road classes. Thus, each second current speed value may correspond to one or more alternative road classes.
In a specific example, the primary link and the secondary link have an overlap in a range of a moving speed of 60km/h to 70km/h, and thus, when the second current speed value V is setBCAnd when the speed is 65km/h, the corresponding alternative road grades are a first-level road and a second-level road.
S450, acquiring a pre-sequence track point and a post-sequence track point which respectively correspond to the second current speed value.
Continuing the example, at acquisition VABWhen the preorder track point and the postorder track point are obtained, the preorder track point is track point A, and the postorder track point is track point B, or V is obtainedBCWhen the preorder track point and the postorder track point are obtained, the preorder track point is a track point B, and the postorder track point is a track point C.
S460, judging whether the target road grade of the preorder track point exists or not: if not, executing S470; if yes, go to S480. For example, it is determined whether the target road grade corresponding to the preamble track point B has been obtained.
For example, when the preamble track point is determined to be the track point a in the previous example, that is, the first track point in the track point set, it may be determined that the target road class of the current track point a does not exist, and then S470 may be executed accordingly.
When the preorder track point is determined to be the track point B in the previous example, the previous rule is assumed to be according to VABThe road grade of the resulting track point B is set to 90km/h as the first-order road, and thus S480 is executed for the target road grade for which the preamble track point, track point B, already exists.
S470, setting the highest road grade in the alternative road grades as the target road grade of the preorder track point and the postorder track point, and executing S4130.
In one embodiment, if and VABAnd setting the target road grades of the preorder track point A and the posterior track point B as first-grade roads if the highest road grade in the corresponding alternative road grades is a first-grade road.
S480, judging whether the target road grade of the preorder track point exists in each alternative road grade: if yes, go to S490; otherwise, S4100 is performed.
For example, the second current speed VBCIf the road grade corresponding to the preorder track point B is a first-grade road, further judging VBCWhether there is a first-level road in the alternative road class of (1).
And S490, setting the target road grade of the preorder track point as the target road grade of the postorder track point, and executing S4130.
For example, VBCIf the road grade corresponding to 65km/h is a first-level road or a second-level road, namely the first-level road exists, the first-level road is set as the target road grade of the track point C.
S4100, acquiring the highest road grade in all the alternative road grades; if the highest road grade is determined to be greater than or equal to the high road grade of the target road grade of the preorder track point, executing S4110; if it is determined that the highest road rank is less than or equal to the lower road rank of the target road rank of the preceding track point, S4120 is performed.
That is, if VBCIn the corresponding road gradeIf there is no first-level road (actually present), V is obtainedBCThe highest road class among the corresponding road classes.
S4110, setting the high road grade as a target road grade of the subsequent track point, and executing S4130.
Assuming that the target road grade of the track point B is a third-level road, V is carried out at the momentBCThe highest road grade first-level road is larger than the higher road grade (second-level road) of the track point B third-level road, and the second-level road is set as the target road grade of the track point C.
S4120, the low road rank is set as the target road rank of the subsequent trace point, and S4130 is executed.
Assuming that the target road grade of the track point B is a top grade road, V is carried out at the momentBCThe highest road grade first-grade road is smaller than the lower road grade (special grade road) of the track point B top grade road, and the special grade road is set as the target road grade of the track point C.
S4130, judging whether the processing of all the speed values in the speed value set is finished: if yes, go to S4140; otherwise, the process returns to the step S430. As shown in fig. 2, i.e. V needs to be adjustedAB、VBC、VCDAnd VDEAnd finishing all the treatment.
S4140, inquiring a mapping relation between a preset road grade and a road type, and determining the road type corresponding to each track point.
For example, the first-level road corresponds to an expressway, the second-level road corresponds to an urban expressway, and the third-level road corresponds to a rural area, that is, if the target road grade of the track point a is the first-level road, the corresponding road type is the expressway.
S4150, mapping each track point to an actual road in the road network data according to the road type and the positioning information of each track point.
According to the technical scheme of the embodiment, the target road grade of the track point is set by integrating the conditions of the pre-sequence track point and the post-sequence track point, the problem of how to select the proper road grade under the condition that speed values are overlapped between speed value ranges of different road grades is solved, and the effect that the method provided by the embodiment can be suitable for more application scenes is achieved.
Example four
Fig. 5 is a schematic structural diagram of a motion trajectory correction apparatus for a mobile user according to a fourth embodiment of the present invention, which can execute the motion trajectory correction method for the mobile user according to the foregoing embodiments.
Referring to fig. 5, the apparatus includes:
a trace point set obtaining module 510, configured to obtain a set of trace points to be corrected, where each trace point in the set of trace points is a signaling data locating point acquired by a mobile user in a process of using a mobile network;
a speed value set generating module 520, configured to generate a speed value set matched with the track point set according to the positioning information and the time information of each track point, where each speed value in the speed value set is used to describe a moving speed of the mobile user between two adjacent track points in the track point set;
a road type determining module 530, configured to determine, according to the speed value set and speed value ranges of different road types, a road type corresponding to each track point;
and the track point mapping module 540 is configured to map each track point to an actual road in the road network data according to the road type and the positioning information of each track point.
The movement track correction device for the mobile user optimizes the movement track of the mobile user by matching with the actual road in the road network data, solves the problem that the error between the obtained movement track and the actual movement track of the user is larger due to the fact that the straight line between two adjacent track points is used as the movement track of the user, and achieves the effect that the movement track is accurately determined so that the determined movement track is closer to the actual track of the user.
Optionally, the track point set obtaining module includes:
the acquisition module is used for acquiring each signaling data positioning point generated in real time in the process of using the mobile network by the mobile user;
and the merging module is used for merging at least two signaling data positioning points which are obtained by continuous acquisition and have the same positioning information into the same merging positioning point and acquiring the time information corresponding to each merging positioning point.
Optionally, the merging module includes:
a signaling data positioning point obtaining module, configured to obtain an initial merging signaling data positioning point and a termination merging signaling data positioning point that respectively correspond to each merging positioning point;
and the merging positioning point calculating module is used for calculating the time information corresponding to each merging positioning point according to the time information of the initial merging signaling data positioning point and the termination merging signaling data positioning point.
Optionally, the speed value set generating module includes:
and the track point acquisition module is used for sequentially acquiring the current processing track point from the track point set and acquiring the next adjacent track point of the current processing track point.
And the moving speed calculation module is used for calculating the moving speed of the mobile user between the current processing track point and the next adjacent track point according to the positioning information and the time information of the current processing track point and the next adjacent track point and adding the calculation result into the speed value set.
And the return execution speed calculation module is used for returning and executing the operation of sequentially acquiring the current processing track points from the track point set until the calculation of the moving speed between all the adjacent track points is completed.
Optionally, the motion trajectory correction device for the mobile user includes:
the speed value smoothing module is used for sequentially acquiring a first current speed value from the speed value set and judging whether a set number of backward adjacent speed values behind the first current speed value exist in the speed value set;
if yes, calculating to obtain an average speed value according to the first current speed value and each backward adjacent speed value, and updating the first current speed value in the speed value set by using the average speed value;
if not, updating a first current speed value in the speed value set by using a speed value in the speed value set before the first current speed value;
and the first return execution speed processing module is used for returning and executing the operation of sequentially acquiring the first current speed value from the speed value set until the processing of all the speed values in the speed value set is completed.
Optionally, the road type determining module includes:
the road grade acquisition module is used for acquiring a second current speed value in the speed value set in sequence, inquiring a mapping relation between a preset speed value range and road grades, and acquiring at least one alternative road grade corresponding to the second current speed value, wherein the speed value ranges of different road grades are overlapped with each other;
the road grade judging module is used for acquiring a preorder track point and a posterior track point which are respectively corresponding to the second current speed value and judging whether a target road grade of the preorder track point exists at present;
if not, setting the highest road grade in the alternative road grades as the target road grade of the preorder track point and the postorder track point;
if yes, judging whether the target road grade of the preorder track point exists in each alternative road grade: if so, setting the target road grade of the preorder track point as the target road grade of the postorder track point; otherwise, acquiring the highest road grade in all the alternative road grades;
if the highest road grade is greater than or equal to the high road grade of the target road grade of the preorder track point, setting the high road grade as the target road grade of the postorder track point;
if the highest road grade is less than or equal to the lower road grade of the target road grade of the preceding track point, setting the lower road grade as the target road grade of the subsequent track point;
the second return execution speed processing module is used for returning and executing the operation of sequentially acquiring a second current speed value from the speed value set until the processing of all the speed values in the speed value set is completed;
and the mapping query module is used for querying the mapping relation between the preset road grade and the road type and determining the road type corresponding to each track point.
Optionally, the track point mapping module includes:
the query instruction construction module is used for constructing a road point query instruction corresponding to each track point according to the road type and the positioning information of each track point;
and the query interface calling module is used for calling a road point query interface provided by a geographic information system according to the road point query instruction, acquiring road positioning points corresponding to the track points respectively, and mapping the track points to actual roads in the road network data.
The motion trail correction device for the mobile user provided by the embodiment of the invention can execute the motion trail correction method for the mobile user provided by any embodiment of the invention, and has corresponding functional modules and beneficial effects of the execution method.
EXAMPLE five
Fig. 6 is a schematic structural diagram of a computer device according to a fifth embodiment of the present invention, where the computer device includes:
one or more processors;
a storage device for storing one or more programs,
when the one or more programs are executed by one or more processors, the one or more processors implement the method for correcting the motion trail of the mobile user according to any embodiment of the invention.
That is, the method includes:
acquiring a track point set to be corrected corresponding to a mobile user, wherein each track point in the track point set is a signaling data positioning point acquired by the mobile user in the process of using a mobile network;
generating a speed value set matched with the track point set according to the positioning information and the time information of each track point, wherein each speed value in the speed value set is used for describing the moving speed of the mobile user between two adjacent track points in the track point set;
determining road types respectively corresponding to the track points according to the speed value set and speed value ranges of different road types;
and mapping each track point to an actual road in the road network data according to the road type and the positioning information of each track point.
As shown in fig. 6, the apparatus includes a processor 610, a storage device 620, an input device 630, and an output device 640; the number of processors 610 in the device may be one or more, and one processor 610 is taken as an example in fig. 6; the processor 610, the storage 620, the input 630, and the output 640 may be connected by a bus or other means, as exemplified by the bus connection in fig. 6.
The storage device 620, as a computer-readable storage medium, can be used to store software programs, computer-executable programs, and modules, such as program instructions/modules corresponding to the motion trail correction method for the mobile user in the embodiment of the present invention (for example, the track point set acquisition module 510, the speed value set generation module 520, the road type determination module 530, and the track point mapping module 540 in the motion trail correction device for the mobile user). The processor 610 executes various functional applications and data processing of the device by running software programs, instructions and modules stored in the storage device 620, that is, implements the above-described motion trajectory correction method for the mobile user.
The storage device 620 may mainly include a storage program area and a storage data area, wherein the storage program area may store an operating system, an application program required for at least one function; the storage data area may store data created according to the use of the terminal, and the like. Further, the storage 620 may include high speed random access memory, and may also include non-volatile memory, such as at least one magnetic disk storage device, flash memory device, or other non-volatile solid state storage device. In some examples, the storage 620 may further include memory located remotely from the processor 610, which may be connected to the device/terminal/server over a network. Examples of such networks include, but are not limited to, the internet, intranets, local area networks, mobile communication networks, and combinations thereof.
The input means 630 may be used to receive inputted information and generate key signal inputs related to user settings and function control of the apparatus. The output device 640 may include a display device such as a display screen.
EXAMPLE six
An embodiment of the present invention further provides a storage medium containing computer-executable instructions, which when executed by a computer processor, are configured to perform a method for correcting a motion trajectory of a mobile user, where the method includes:
acquiring a track point set to be corrected corresponding to a mobile user, wherein each track point in the track point set is a signaling data positioning point acquired by the mobile user in the process of using a mobile network;
generating a speed value set matched with the track point set according to the positioning information and the time information of each track point, wherein each speed value in the speed value set is used for describing the moving speed of the mobile user between two adjacent track points in the track point set;
determining road types respectively corresponding to the track points according to the speed value set and speed value ranges of different road types;
and mapping each track point to an actual road in the road network data according to the road type and the positioning information of each track point.
Of course, the storage medium containing the computer-executable instructions provided by the embodiments of the present invention is not limited to the above-described method operations, and may also perform related operations in the motion trajectory correction method for the mobile user provided by any embodiment of the present invention.
From the above description of the embodiments, it is obvious for those skilled in the art that the present invention can be implemented by software and necessary general hardware, and certainly, can also be implemented by hardware, but the former is a better embodiment in many cases. Based on such understanding, the technical solutions of the present invention may be embodied in the form of a software product, which can be stored in a computer-readable storage medium, such as a floppy disk, a Read-Only Memory (ROM), a Random Access Memory (RAM), a FLASH Memory (FLASH), a hard disk or an optical disk of a computer, and includes several instructions for enabling a computer device (which may be a personal computer, a server, or a network device) to execute the methods according to the embodiments of the present invention.
It should be noted that, in the embodiment of the motion trajectory correction device for the mobile user, the included units and modules are only divided according to functional logic, but are not limited to the above division, as long as the corresponding functions can be implemented; in addition, specific names of the functional units are only for convenience of distinguishing from each other, and are not used for limiting the protection scope of the present invention.
It is to be noted that the foregoing is only illustrative of the preferred embodiments of the present invention and the technical principles employed. It will be understood by those skilled in the art that the present invention is not limited to the particular embodiments described herein, but is capable of various obvious changes, rearrangements and substitutions as will now become apparent to those skilled in the art without departing from the scope of the invention. Therefore, although the present invention has been described in greater detail by the above embodiments, the present invention is not limited to the above embodiments, and may include other equivalent embodiments without departing from the spirit of the present invention, and the scope of the present invention is determined by the scope of the appended claims.

Claims (10)

1. A motion trail correction method for a mobile user is characterized by comprising the following steps:
acquiring a track point set to be corrected corresponding to a mobile user, wherein each track point in the track point set is a signaling data positioning point acquired by the mobile user in the process of using a mobile network;
generating a speed value set matched with the track point set according to the positioning information and the time information of each track point, wherein each speed value in the speed value set is used for describing the moving speed of the mobile user between two adjacent track points in the track point set;
determining road types respectively corresponding to the track points according to the speed value set and speed value ranges of different road types;
and mapping each track point to an actual road in the road network data according to the road type and the positioning information of each track point.
2. The method according to claim 1, wherein obtaining a set of track points to be corrected corresponding to a mobile user comprises:
acquiring each signaling data positioning point generated in real time in the process of using a mobile network by a mobile user;
combining at least two signaling data positioning points which are obtained by continuous collection and have the same positioning information into the same combined positioning point, and acquiring time information corresponding to each combined positioning point;
and sequencing the currently existing signaling data positioning points and/or combined positioning points according to the sequence of the time information from front to back to obtain a track point set to be corrected.
3. The method of claim 2, wherein obtaining time information corresponding to each merged location point comprises:
acquiring an initial merging signaling data positioning point and a termination merging signaling data positioning point which respectively correspond to each merging positioning point;
and calculating the time information corresponding to each combined locating point according to the time information of the initial combined signaling data locating point and the time information of the stop combined signaling data locating point.
4. A method according to any one of claims 1 to 3, wherein generating a set of velocity values matching the set of trajectory points based on the positioning information and the time information for each trajectory point comprises:
sequentially acquiring a current processing track point from a track point set, and acquiring a next adjacent track point of the current processing track point;
calculating the moving speed of the mobile user between the current processing track point and the next adjacent track point according to the positioning information and the time information of the current processing track point and the next adjacent track point, and adding the calculation result into a speed value set;
and returning to execute the operation of sequentially acquiring the current processing track points in the track point set until the calculation of the moving speed between all adjacent track points is completed.
5. The method according to claim 4, after generating the set of velocity values matching the set of trajectory points based on the positioning information and the time information of each trajectory point, further comprising:
sequentially acquiring a first current speed value from the speed value set, and judging whether a set number of backward adjacent speed values behind the first current speed value exist in the speed value set;
if yes, calculating to obtain an average speed value according to the first current speed value and each backward adjacent speed value, and updating the first current speed value in the speed value set by using the average speed value;
if not, updating a first current speed value in the speed value set by using a speed value in the speed value set before the first current speed value;
and returning to execute the operation of sequentially acquiring the first current speed value from the speed value set until the processing of all the speed values in the speed value set is completed.
6. A method according to any one of claims 1-3, wherein determining the road type corresponding to each track point, based on the set of speed values and the range of speed values for different road types, comprises:
sequentially acquiring a second current speed value from the speed value set, inquiring a mapping relation between a preset speed value range and road grades, and acquiring at least one alternative road grade corresponding to the second current speed value, wherein the speed value ranges of different road grades are overlapped;
acquiring a preorder track point and a posterior track point which respectively correspond to the second current speed value, and judging whether a target road grade of the preorder track point exists at present;
if not, setting the highest road grade in the alternative road grades as the target road grade of the preorder track point and the postorder track point;
if yes, judging whether the target road grade of the preorder track point exists in each alternative road grade: if so, setting the target road grade of the preorder track point as the target road grade of the postorder track point; otherwise, acquiring the highest road grade in all the alternative road grades;
if the highest road grade is greater than or equal to the high road grade of the target road grade of the preorder track point, setting the high road grade as the target road grade of the postorder track point;
if the highest road grade is less than or equal to the lower road grade of the target road grade of the preceding track point, setting the lower road grade as the target road grade of the subsequent track point;
returning to execute the operation of sequentially acquiring a second current speed value from the speed value set until the processing of all the speed values in the speed value set is completed;
and inquiring the mapping relation between the preset road grade and the road type, and determining the road type corresponding to each track point.
7. The method according to any one of claims 1-3, wherein mapping each track point to an actual road in the road network data according to the road type and location information of each track point comprises:
constructing a road point query instruction corresponding to each track point according to the road type and the positioning information of each track point;
and calling a road point query interface provided by a geographic information system according to the road point query instruction to obtain road positioning points corresponding to the track points respectively so as to map the track points to actual roads in the road network data.
8. A motion trajectory correction apparatus for a mobile user, comprising:
the system comprises a track point set acquisition module, a track point correction module and a correction module, wherein the track point set acquisition module is used for acquiring a track point set to be corrected corresponding to a mobile user, and each track point in the track point set is a signaling data positioning point acquired by the mobile user in the process of using a mobile network;
the speed value set generating module is used for generating a speed value set matched with the track point set according to the positioning information and the time information of each track point, and each speed value in the speed value set is used for describing the moving speed of the mobile user between two adjacent track points in the track point set;
the road type determining module is used for determining road types respectively corresponding to the track points according to the speed value set and speed value ranges of different road types;
and the track point mapping module is used for mapping each track point to an actual road in the road network data according to the road type and the positioning information of each track point.
9. A computer device, comprising:
one or more processors;
a storage device for storing one or more programs,
when executed by the one or more processors, cause the one or more processors to implement a method of motion trajectory modification for a mobile user according to any of claims 1-7.
10. A storage medium containing computer-executable instructions for performing the method of motion trajectory modification of a mobile user according to any one of claims 1-7 when executed by a computer processor.
CN202110771365.4A 2021-07-08 Method, device, equipment and medium for correcting motion trail of mobile user Active CN113473367B (en)

Priority Applications (1)

Application Number Priority Date Filing Date Title
CN202110771365.4A CN113473367B (en) 2021-07-08 Method, device, equipment and medium for correcting motion trail of mobile user

Applications Claiming Priority (1)

Application Number Priority Date Filing Date Title
CN202110771365.4A CN113473367B (en) 2021-07-08 Method, device, equipment and medium for correcting motion trail of mobile user

Publications (2)

Publication Number Publication Date
CN113473367A true CN113473367A (en) 2021-10-01
CN113473367B CN113473367B (en) 2024-06-21

Family

ID=

Citations (9)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US20100057336A1 (en) * 2008-08-27 2010-03-04 Uri Levine System and method for road map creation
CN103308055A (en) * 2013-05-20 2013-09-18 江苏新科软件有限公司 Vehicle road matching method of navigation system
CN104318767A (en) * 2014-10-22 2015-01-28 北京建筑大学 Road condition information generating method based on bus global position system (GPS) tracking data
US9285805B1 (en) * 2015-07-02 2016-03-15 Geodigital International Inc. Attributed roadway trajectories for self-driving vehicles
CN105574313A (en) * 2014-10-13 2016-05-11 高德软件有限公司 Road grade determining method and device
CN105737841A (en) * 2016-03-23 2016-07-06 北京搜狗科技发展有限公司 Method for acquiring road passing time and electronic equipment
CN111858814A (en) * 2020-07-21 2020-10-30 北京卡路里信息技术有限公司 Method, device and equipment for repairing motion trail and storage medium
CN112468973A (en) * 2020-11-10 2021-03-09 恒安嘉新(北京)科技股份公司 Method, device, equipment and medium for optimizing signaling positioning track
CN113009908A (en) * 2019-12-19 2021-06-22 广州极飞科技股份有限公司 Motion control method, device, equipment and storage medium for unmanned equipment

Patent Citations (9)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US20100057336A1 (en) * 2008-08-27 2010-03-04 Uri Levine System and method for road map creation
CN103308055A (en) * 2013-05-20 2013-09-18 江苏新科软件有限公司 Vehicle road matching method of navigation system
CN105574313A (en) * 2014-10-13 2016-05-11 高德软件有限公司 Road grade determining method and device
CN104318767A (en) * 2014-10-22 2015-01-28 北京建筑大学 Road condition information generating method based on bus global position system (GPS) tracking data
US9285805B1 (en) * 2015-07-02 2016-03-15 Geodigital International Inc. Attributed roadway trajectories for self-driving vehicles
CN105737841A (en) * 2016-03-23 2016-07-06 北京搜狗科技发展有限公司 Method for acquiring road passing time and electronic equipment
CN113009908A (en) * 2019-12-19 2021-06-22 广州极飞科技股份有限公司 Motion control method, device, equipment and storage medium for unmanned equipment
CN111858814A (en) * 2020-07-21 2020-10-30 北京卡路里信息技术有限公司 Method, device and equipment for repairing motion trail and storage medium
CN112468973A (en) * 2020-11-10 2021-03-09 恒安嘉新(北京)科技股份公司 Method, device, equipment and medium for optimizing signaling positioning track

Non-Patent Citations (2)

* Cited by examiner, † Cited by third party
Title
傅强;阿曼太;雷小创;肖媛媛;郑竞可;: "基于近期移动互联网安全事件的深度探索", 网络空间安全, no. 05, 25 May 2020 (2020-05-25) *
高静文;蔡永香;甘艺?;: "运输车辆轨迹点数据清洗方法研究", 电脑知识与技术, no. 36, 25 December 2019 (2019-12-25) *

Similar Documents

Publication Publication Date Title
CN106969764B (en) Road matching method and device and vehicle-mounted map acquisition system
US8359156B2 (en) Map generation system and map generation method by using GPS tracks
CN109033170B (en) Data repairing method, device and equipment for parking lot and storage medium
CN101719315B (en) Method for acquiring dynamic traffic information based on middleware
CN110779539B (en) Driving path correction method, device, equipment and storage medium
CN104331422A (en) Road section type presumption method
CN104819726A (en) Navigation data processing method, navigation data processing device and navigation terminal
CN112344947B (en) Map matching method, map matching device, electronic equipment and computer readable storage medium
CN109947881B (en) POI weight judging method and device, mobile terminal and computer readable storage medium
CN107545318B (en) Bus line priority determination and bus transfer line sequencing method and device
JP2018531458A6 (en) Automatic discovery method, automatic discovery apparatus, storage medium and equipment for gas station POI
CN111489544B (en) System for constructing road network prediction tree and EHP client
CN110598917B (en) Destination prediction method, system and storage medium based on path track
CN113177042B (en) Map track line processing method and device
CN104034337B (en) Map matching method and device for geographic position point of floating vehicle
CN113312760A (en) Traffic simulation-based networked motor vehicle right turn trajectory planning method and device
CN115988421A (en) Time weight clustering-based occupational and residential area estimation method and device
CN104376084A (en) Method and device for calculating path similarity
CN109215348B (en) Method for accurately positioning traffic accident to related road section
CN114579683A (en) Map network updating method and device, computer equipment and storage medium
CN114993325A (en) Vehicle GPS map road matching method, device and storage medium
CN116698075B (en) Road network data processing method and device, electronic equipment and storage medium
CN111649752B (en) Map data processing method, device and equipment for congested road section
CN113473367A (en) Method, apparatus, device and medium for correcting motion trail of mobile user
CN113473367B (en) Method, device, equipment and medium for correcting motion trail of mobile user

Legal Events

Date Code Title Description
PB01 Publication
PB01 Publication
SE01 Entry into force of request for substantive examination
SE01 Entry into force of request for substantive examination
GR01 Patent grant