CN110460962A - Rail traffic user identification method and device - Google Patents
Rail traffic user identification method and device Download PDFInfo
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- CN110460962A CN110460962A CN201910755903.3A CN201910755903A CN110460962A CN 110460962 A CN110460962 A CN 110460962A CN 201910755903 A CN201910755903 A CN 201910755903A CN 110460962 A CN110460962 A CN 110460962A
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- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04W—WIRELESS COMMUNICATION NETWORKS
- H04W4/00—Services specially adapted for wireless communication networks; Facilities therefor
- H04W4/02—Services making use of location information
- H04W4/029—Location-based management or tracking services
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- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04W—WIRELESS COMMUNICATION NETWORKS
- H04W4/00—Services specially adapted for wireless communication networks; Facilities therefor
- H04W4/30—Services specially adapted for particular environments, situations or purposes
- H04W4/40—Services specially adapted for particular environments, situations or purposes for vehicles, e.g. vehicle-to-pedestrians [V2P]
- H04W4/42—Services specially adapted for particular environments, situations or purposes for vehicles, e.g. vehicle-to-pedestrians [V2P] for mass transport vehicles, e.g. buses, trains or aircraft
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- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04W—WIRELESS COMMUNICATION NETWORKS
- H04W8/00—Network data management
- H04W8/22—Processing or transfer of terminal data, e.g. status or physical capabilities
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Abstract
The present invention provides a kind of rail traffic user identification method and devices；Method includes: to obtain the approach point data of user；Based on base station at a distance from the rail line obtained in advance determined base station area type, the quantity of each base station area type in statistical approach point data；Rail traffic stroke segment data is extracted from approach point data according to the quantity of each base station area type；Judge whether user is rail traffic user according to rail traffic stroke segment data.The rail line including base station location is obtained in advance, the base station that the approach point data of user includes is classified at a distance from the rail line obtained in advance according to base station, it is divided into different base station area types, it is mentioned according to the quantity of base station area type from approach point data Zhong Tu area's rail traffic stroke segment data, according to formation number of segment it is judged that whether user is rail traffic user.The accuracy rate of rail traffic user identification, save the cost and time can be increased.
Description
Technical field
The present invention relates to mobile phone signaling technology fields, more particularly, to a kind of rail traffic user identification method and device.
Background technique
In the related technology, it is rail traffic passenger to differentiate which mobile phone user, generallys use camera head monitor, sampling
Investigation, questionnaire survey, phone inquiry and the solution for being not based on operator using information etc. is collected in station.But these non-bases
Method is too simple in the solution of operator, and observation information is discontinuous, and accuracy rate is not high, it is difficult to large-scale application.
In addition, it is not based on the solution higher operating costs of operator, it is time-consuming and laborious.
Summary of the invention
In view of this, the purpose of the present invention is to provide a kind of rail traffic user identification method and devices, to increase rail
The accuracy rate of road traffic user identification, save the cost and time.
In a first aspect, the embodiment of the invention provides a kind of rail traffic user identification methods, comprising: obtain the way of user
Diameter point data；Approach point data includes: the base station of the mobile terminal identification of user, signaling interaction time and each Signalling exchange
Location information；Based on base station at a distance from the rail line obtained in advance determined base station area type, statistical approach point
The quantity of each base station area type in data；Wherein, the base station of same base station area type and rail line away from
From belonging to same range；Rail traffic stroke number of segment is extracted from approach point data according to the quantity of each base station area type
According to；Judge whether user is rail traffic user according to rail traffic stroke segment data.
In preferred embodiments of the present invention, the step of the approach point data of above-mentioned acquisition user, comprising: obtain user's
Signaling data；Signaling data includes: the position of the base station of the mobile terminal identification of user, signaling interaction time and each Signalling exchange
Confidence breath；Signaling data is sorted by signaling interaction time, obtains signaling data stream；Remove the invalid number in signaling data stream
According to obtaining the approach point data of user.
In preferred embodiments of the present invention, above-mentioned based on base station, institute is true at a distance from the rail line obtained in advance
The step of determining base station area type, comprising: if base station is less than first threshold at a distance from the rail line obtained in advance,
It is first area base station by basestation marker；If base station is more than or equal to the first threshold at a distance from the rail line obtained in advance
Value, and it is less than second threshold, it is second area base station by basestation marker；If base station and the rail line obtained in advance
Distance be more than or equal to second threshold, by basestation marker be third origin base station.
In preferred embodiments of the present invention, the above-mentioned quantity according to each base station area type is mentioned from approach point data
The step of taking rail traffic stroke segment data, comprising: first object data are extracted from approach point data；If first object number
It is greater than preset first area base station number threshold value according to the quantity for the first area base station for including, the time of first object data is long
Degree is greater than preset first time length threshold, and the travel speeds of first object data is greater than preset threshold speed, also, the
The ratio for the base station number that the base station number for including and approach point data of one target data include is greater than preset fractional threshold；
Then first object data are rail traffic stroke segment data.
In preferred embodiments of the present invention, the above-mentioned quantity according to each base station area type is mentioned from approach point data
The step of taking rail traffic stroke segment data, further includes: the second target data is extracted from approach point data；When the second number of targets
According to including third origin base station, and when the second target data does not include first area base station and second area base station；If the
The time span of two target datas is less than preset second time span threshold value, then the second target data is rail traffic trip segment
Data.
In preferred embodiments of the present invention, the above-mentioned quantity according to each base station area type is mentioned from approach point data
The step of taking rail traffic stroke segment data, further includes: third target data is extracted from approach point data；When third number of targets
According to including second area base station, and when third target data does not include first area base station and third origin base station；Then third
Target data is rail traffic stroke segment data.
In preferred embodiments of the present invention, the above-mentioned quantity according to each base station area type is mentioned from approach point data
The step of taking rail traffic stroke segment data, further includes: when there are when signaling missing for approach point data；If in approach point data
The time difference for lacking two data points of front and back is less than or equal to preset time difference threshold value, then the approach point data of signaling missing is
Rail traffic stroke segment data；When there are when signaling missing for approach point data；If lacking the time of two data points of front and back
Difference is greater than time difference threshold value, also, the speed for lacking two data points of front and back is more than or equal to preset minimum speed threshold value, then
The approach point data of signaling missing is rail traffic stroke segment data.
It is above-mentioned to judge whether user is that track is handed over according to rail traffic stroke segment data in preferred embodiments of the present invention
The step of general family, comprising: the speed of user is calculated according to rail traffic stroke segment data；If the speed of user is more than or equal to
Preset rail traffic speed；Then user is rail traffic user.
Second aspect, the embodiment of the present invention also provide a kind of rail traffic customer identification device, comprising: data acquisition mould
Block is used for: obtaining the approach point data of user；Approach point data include: the mobile terminal identification of user, signaling interaction time and
The location information of the base station of each Signalling exchange；Basestation marker module, is used for: based on base station and the rail line that in advance obtains
The determined base station area type of the distance on road, the quantity of each base station area type in statistical approach point data；Wherein, same
The base station of base station area type belongs to same range at a distance from rail line；Trip segment extraction module, is used for: according to every
The quantity of a base station area type extracts rail traffic stroke segment data from approach point data；User's judgment module, is used for: root
Judge whether user is rail traffic user according to rail traffic stroke segment data.
In preferred embodiments of the present invention, above-mentioned data acquisition module is used for: obtaining the signaling data of user；Signaling
Data include: the location information of the base station of the mobile terminal identification of user, signaling interaction time and each Signalling exchange；By signaling
Data sort by signaling interaction time, obtain signaling data stream；The invalid data in signaling data stream is removed, the way of user is obtained
Diameter point data.
The embodiment of the present invention bring it is following the utility model has the advantages that
Rail traffic user identification method and device provided in an embodiment of the present invention obtain the rail including base station location in advance
Road traffic route, the base station for including by the approach point data of user is according to base station at a distance from the rail line obtained in advance
Classify, be divided into different base station area types, is mentioned according to the quantity of base station area type from the area approach point data Zhong Tu
Rail traffic stroke segment data, according to formation number of segment it is judged that whether user is rail traffic user.Rail traffic can be increased
The accuracy rate of user's identification, save the cost and time.
Other feature and advantage of the disclosure will illustrate in the following description, alternatively, Partial Feature and advantage can be with
Deduce from specification or unambiguously determine, or by implement the disclosure above-mentioned technology it can be learnt that.
To enable the above objects, features, and advantages of the disclosure to be clearer and more comprehensible, preferred embodiment is cited below particularly, and cooperate
Appended attached drawing, is described in detail below.
Detailed description of the invention
It, below will be to specific in order to illustrate more clearly of the specific embodiment of the invention or technical solution in the prior art
Embodiment or attached drawing needed to be used in the description of the prior art be briefly described, it should be apparent that, it is described below
Attached drawing is some embodiments of the present invention, for those of ordinary skill in the art, before not making the creative labor
It puts, is also possible to obtain other drawings based on these drawings.
Fig. 1 is a kind of flow chart of rail traffic user identification method provided in an embodiment of the present invention；
Fig. 2 is the flow chart of another rail traffic user identification method provided in an embodiment of the present invention；
Fig. 3 is a kind of base station area Type division schematic diagram provided in an embodiment of the present invention；
Fig. 4 is a kind of schematic diagram of the approach point data of signaling missing provided in an embodiment of the present invention；
Fig. 5 is a kind of flow diagram of high-speed rail user identification method provided in an embodiment of the present invention；
Fig. 6 is a kind of structural schematic diagram of rail traffic customer identification device provided in an embodiment of the present invention.
Specific embodiment
In order to make the object, technical scheme and advantages of the embodiment of the invention clearer, below in conjunction with attached drawing to the present invention
Technical solution be clearly and completely described, it is clear that described embodiments are some of the embodiments of the present invention, rather than
Whole embodiments.Based on the embodiments of the present invention, those of ordinary skill in the art are not making creative work premise
Under multiple other embodiments obtained, shall fall within the protection scope of the present invention.
Tradition to the analysis of rail traffic passenger with and see clearly method and generally use camera head monitor, sample investigation, questionnaire
Investigation, phone inquiry and the solution for being not based on operator using information etc. is collected in station.But these are not based on operator
Solution in method it is too simple, and observation information is discontinuous, and accuracy rate is not high, it is difficult to large-scale application.In addition, non-base
It is time-consuming and laborious in the solution higher operating costs of operator.
In short, the accuracy rate of existing rail traffic user identification method is lower, and higher cost, time-consuming and laborious, base
In this, a kind of rail traffic user identification method and device provided in an embodiment of the present invention can be applied to the skill of mobile phone signaling
Art field, especially by base station operation parameter (the hereinafter referred base station work ginseng) number of mobile phone signaling data combination telecom operators
According to completing to the data collection of rail traffic user, realizes analysis to rail traffic user in conjunction with big data technology and see clearly.
To be known to a kind of rail traffic user disclosed in the embodiment of the present invention first convenient for understanding the present embodiment
Other method describes in detail.
Embodiment 1
A kind of flow chart of rail traffic user identification method shown in Figure 1, this method comprises the following steps:
Step S102 obtains the approach point data of user；Above-mentioned approach point data include: user mobile terminal identification,
The location information of the base station of signaling interaction time and each Signalling exchange.
User needs to judge whether it uses rail traffic, and rail traffic refers to the method for carrying out traffic using track, uses
The approach point data (Journey Via Point, JVP) at family has recorded information of the user by each base station when.It is mobile whole
End refers to the equipment that data can be sent or received to base station, can be the equipment such as mobile phone, tablet computer.Mobile terminal identification is used
Carry out the mobile terminal of identity user, each mobile terminal has a unique mobile terminal identification, this mobile terminal mark
Know to be IMSI code (International Mobile Subscriber Identification Number, world movement
CUSTOMER ID), it is also possible to other numbers for being used to unique mark mobile terminal.
Signaling interaction time refers to the mobile terminal of user and the time for touching a base station generation Signalling exchange.Signaling be
In wireless communication system, other than transmitting subscriber information, to make the whole network work with being lost sequence, for guaranteeing needed for normal communication
The control signal wanted.A kind of form of the base radio station, refers in certain area of radio coverage, by base station and moves
Radio station is believed in the transceiving that information transmitting is carried out between dynamic terminal.The location information of base station is used to indicate that the geographical of base station sits
Mark.
Step S104, based on base station at a distance from the rail line obtained in advance determined base station area type, system
The quantity of each base station area type in meter approach point data；Wherein, the base station of same base station area type and rail traffic
The distance of route belongs to same range.
Rail line is by rail line figure it was determined that wherein, rail line figure may include edge
The location information of way base station determines different base station area types according to the linear distance of base station on the way and rail line.
It for example, is type-A base station within 800 meters of rail line, apart from rail line 800
- 1000 meters of rice is B type of base station, is C type of base station other than 1000 meters of rail line.By rail line
After base station classification along the line, determine which base station area type base station adheres to separately in JVP data, and count each base station area class
The quantity of type.
Step S106 extracts rail traffic stroke number of segment according to the quantity of each base station area type from approach point data
According to.
The quantity of the base station area type that certain one piece of data of JVP data includes is different, user in the segment data whether
Probability using rail traffic trip is different, the base of the base station area type closer with rail line of certain one piece of data
Quantity of standing is more, then the segment data is that the probability of rail traffic stroke segment data is higher.
Step S108 judges whether user is rail traffic user according to above-mentioned rail traffic stroke segment data.
If above-mentioned rail traffic stroke segment data is similar with the data of rail traffic, determine user for rail traffic
User.Such as: the speed of above-mentioned rail traffic stroke segment data meets the rate request of rail traffic data, above-mentioned rail traffic
The distance of stroke segment data meets distance requirement of rail traffic data etc..
A kind of rail traffic user identification method provided in an embodiment of the present invention obtains the track including base station location in advance
Traffic route, the base station for including by the approach point data of user according to base station at a distance from the rail line obtained in advance into
Row classification, is divided into different base station area types, is mentioned according to the quantity of base station area type from the area approach point data Zhong Tu rail
Road traffic stroke segment data, according to formation number of segment it is judged that whether user is rail traffic user.Rail traffic use can be increased
The accuracy rate of family identification, save the cost and time.
Embodiment 2
The embodiment of the present invention also provides another rail traffic user identification method；This method is in above-described embodiment method
On the basis of realize；The description of this method emphasis obtains the specific implementation of the approach point data of user.
The flow chart of another rail traffic user identification method as shown in Figure 2, this method comprises the following steps:
Step S202 obtains the signaling data of user；Above-mentioned signaling data includes: mobile terminal identification, the signaling of user
The location information of the base station of interaction time and each Signalling exchange.
It, can be by the way that signaling data progress data cleansing be obtained during obtaining JVP data.Signaling data refers to
Mobile terminal and base station carry out data caused by Signalling exchange.Signaling data equally includes: the mobile terminal identification of user, letter
Enable the location information of the base station of interaction time and each Signalling exchange.In addition to this, signaling data further include: the province where base station
Information.
Signaling data is sorted by signaling interaction time, obtains signaling data stream by step S204.
The signaling data that signaling data obtains after sorting by signaling interaction time can be substantially by signaling interaction time sequence
Determine the route that user moves at any time.It needs to carry out data preparation to signaling data stream later.
Step S206 removes the invalid data in above-mentioned signaling data stream, obtains the approach point data of user.
Contain a large amount of invalid data in signaling data stream.Invalid data refers to that there are the feelings such as field missing, Data duplication
The useless interference data of condition.After these invalid datas are proposed, the signaling data stream left is exactly the approach points of the user
According to.
Step S208, based on base station at a distance from the rail line obtained in advance determined base station area type, system
The quantity of each base station area type in meter approach point data；Wherein, the base station of same base station area type and rail traffic
The distance of route belongs to same range.
Rail line needs to obtain in advance, can also be realized by drawing rail line figure.Can according to
Lower step draws rail line figure:
(1) location parameter of rail line figure and multiple base stations is obtained.
Rail line figure can in GIS (Geographic Information System, GIS-Geographic Information System)
It is drawn in figure software.GIS is the software that can be provided storage, display, analyze geographical data function, mainly includes that data are inputted and compiled
Volume, data management, data manipulation and data show and export.In the present embodiment using high-speed rail as rail traffic for.
(2) according to the location parameter of base station, the position of base station is marked in rail line figure.
Rail line figure can be drawn by GIS.But the rail line figure that GIS is drawn may not marked
Know the position of base station.Therefore, it is necessary to the location parameters of the base station along the rail line according to acquisition, in the traffic of GIS
Increase base station in line map.
By the above-mentioned means, completing the drafting work of the rail line figure including base station.Later, it needs to rail
All base stations in the figure of road traffic route are divided, and different base station area types is divided into.Specific division methods, can be with
It is executed by following steps:
It (1) is the by basestation marker if base station is less than first threshold at a distance from the rail line obtained in advance
One origin base station.
First threshold can be 800 meters, that is to say, that by the basestation marker at a distance from rail line less than 800 meters
For first area base station, high-speed rail origin base station may also be referred to as.
(2) if base station is more than or equal to first threshold at a distance from the rail line obtained in advance, and less than the
Basestation marker is second area base station by two threshold values.
Second threshold can be 1000 meters, that is to say, that be less than being more than or equal to 800 meters at a distance from rail line
1000 meters of basestation marker is second area base station, may also be referred to as gray area base station.
(3) if base station is more than or equal to second threshold at a distance from the rail line obtained in advance, by basestation marker
For third origin base station.
1000 meters of basestation marker will be more than or equal at a distance from rail line for third origin base station, can also claimed
Make perimeter base station.
It may refer to a kind of base station area Type division schematic diagram shown in Fig. 3, triangle base station and track in figure three
The distance of traffic route is high-speed rail region less than 800 meters；Round base station is more than or equal to 800 meters at a distance from rail line,
It is gray area base station and less than 1000 meters；Square base station is greater than 1000 meters at a distance from rail line, is perimeter
Base station.
After completing base station area Type division, it is also necessary to integrate base station information, retain the base station on some bases
Attribute information.The information for needing to retain includes: base station number, longitude, latitude, network formats, range tag etc..Base station number is used
In identifying the base station, latitude and longitude are used to indicate the position of base station, and grid standard illustrates the operating mode of the base station, range mark
Label are exactly the base station area type of the base station.
Step S210 extracts rail traffic stroke number of segment according to the quantity of each base station area type from approach point data
According to.
According to base station area Type division method above, rail traffic stroke number of segment can be extracted by following steps
According to:
(1) first object data are extracted from approach point data.
First object data be JVP data in a part, extract first object data after, to the first object data into
Row data processing.The high-speed rail trip that entire stroke recording all meets decision condition may be defined as high-speed rail trip segment, mainly pass through
Calculate time difference in JVP between each point for passing through and longitude and latitude be poor, and be converted to linear distance, using in JVP through excessively high
The quantity and speed of iron origin base station are determined, if meeting Rule of judgment, this section of stroke is marked as rail traffic row
Journey section.
(2) if the quantity for the first area base station that first object data include is greater than preset first area base station number
The time span of threshold value, first object data is greater than preset first time length threshold, the travel speed of first object data
Greater than preset threshold speed, also, the base station number that the base station number for including of first object data and approach point data include
The ratio of amount is greater than preset fractional threshold；Then first object data are rail traffic stroke segment data.
Because the rail traffic speed of service is fast, mobile phone signal is unstable (especially in mountain area and tunnel), or because base station
The missing of work parameter evidence, or because there is a certain error in acquisition and treatment process for signaling data, therefore use signaling data
Determine to need to consider several factors to improve judging nicety rate when rail traffic trip.
The quantity for the first area base station that first object data include is greater than preset first area base station number threshold value, is
The quantity for referring to high-speed rail base station is more than first area base station number threshold value (having choosing value is 3).The time span of first object data
Greater than preset first time length threshold, refer to that the duration for including in the segment data needs to be greater than first time length threshold
(preferred value is 300 seconds).The travel speed of first object data is greater than preset threshold speed, refers to the stroke in the segment data
Speed is greater than threshold speed (preferred value is 300 meter per seconds).The base station number for including and approach point data of first object data
Including base station number ratio be greater than preset fractional threshold, refer to the base station in the high-speed rail region in the segment data in the data
The accounting of all base stations is greater than fractional threshold (preferred value 0.7).
Only after meeting above-mentioned all conditions, it just can be determined that the first object data are rail traffic stroke number of segment
According to.Post analysis data the case where not meeting above-mentioned condition for extracting, such as:
(1) the second target data is extracted from approach point data；
Second target data can be incited somebody to action if not rail traffic stroke segment data, but if meeting the following conditions
Second target data is merged into rail traffic stroke segment data.
(2) when the second target data includes third origin base station, and the second target data does not include first area base station
When with second area base station；If the time span of the second target data be less than preset second time span threshold value, second
Target data is rail traffic stroke segment data.
If the second target data includes only including perimeter base station, but time span is less than the second time span
Threshold value (preferred value is 500 seconds), if the time span is more than or equal to preset second time span threshold value, then it is assumed that the second mesh
Marking data is not rail traffic stroke segment data.
Post analysis the third situation: (1) third target data is extracted from approach point data.Third target data is only
Data including gray area base station.
(2) when third target data includes second area base station, and third target data does not include first area base station
When with third origin base station；Then third target data is rail traffic stroke segment data.
If third target data only includes gray area base station, using the third target data as rail traffic stroke number of segment
According to still, the gray area base station that third target data includes is not calculated then.
In JVP data, data corresponding with rail traffic stroke segment data be interference segment data, interference section refer to by
The segment not formed in the JVP data of track Along Traffic Trunk Lines.Since signal interference possibly is present within high-speed rail section, it is therefore desirable to
Interference section front and back is calculated, and calculated result is included in or is not included in rail traffic stroke segment data.
In addition to this, for the data of signaling missing, judge certain data for rail traffic stroke by following steps
Segment data or interference segment data:
(1) when there are when signaling missing for approach point data；If two data points of missing front and back in approach point data
Time difference is less than or equal to preset time difference threshold value, then the approach point data of signaling missing is rail traffic stroke segment data.
Signaling missing refers to that a certain section of approach point data has the case where losing or interrupting, if two of missing front and back
The time difference of data point is less than or equal to preset time difference threshold value (preferred value is 6400 seconds), then the approach point lacked the signaling
Data judging is rail traffic stroke segment data.
(2) when there are when signaling missing for approach point data；If the time difference for lacking two data points of front and back is greater than
Between poor threshold value, also, the speed for lacking two data points of front and back is more than or equal to preset minimum speed threshold value, then signaling lacks
Approach point data be rail traffic stroke segment data.
If the time difference for lacking two data points of front and back is greater than preset time difference threshold value, still, front and back is lacked
The speed of two data points is more than or equal to preset minimum speed threshold value (30 meter per second), and the approach for also lacking the signaling is counted
According to being determined as rail traffic stroke segment data.In addition to above situation, it is judged to the approach point data that the signaling lacks to interfere section
Data.
A kind of schematic diagram of the approach point data of signaling missing shown in Figure 4, the solid line in Fig. 4 represent normal number
The data of signaling missing are represented according to, dotted line, it, can be with mostly due to across boundary of provinceing generation if the time of signaling missing is shorter
Ignore；If signaling missing time it is longer, may due to signal really, interference or across boundary of provinceing generation.
The end of rail traffic stroke segment data is determined, when the base station that JVP data include only has perimeter base station,
When JVP data judging is and more than 500 seconds, and next base station that signaling occurs is not belonging to high-speed rail origin base station, then it is assumed that
High-speed rail trip terminates.
Step S212 judges whether user is rail traffic user according to above-mentioned rail traffic stroke segment data.
Whether can be matched with the speed of rail traffic speed by calculating the speed of user whether to determine the user
For rail traffic user, can be executed by following steps:
(1) speed of user is calculated according to rail traffic stroke segment data.
It needs to join base station work before judgement and does a little pretreatments, it is standby that high-speed rail origin base station and base station of going back are put into a list
It looks into, is not regarded as perimeter base station in the base station of above-mentioned list.
High-speed rail stroke is to form user by aggregation of data such as the location informations of JVP data combination user to go on a journey using high-speed rail
Departure place and reach ground information.Main logic is as follows: reading user and stops ground information, obtains the latter time before high-speed rail stroke
The stop ground information of section, the start-stop city as high-speed rail trip.
In general, signaling data is divided by province, therefore, first using base station data in start-stop JVP data inside the province
Longitude and latitude carries out the calculating of linear distance, then all sections of distance is added up the speed of the complete high-speed rail stroke of approximate calculation,
Determine the target for meeting high-speed rail speed.
(2) if the speed of user is more than or equal to preset rail traffic speed, user is rail traffic user.
The speed of high-speed rail is generally at 250-350 kilometers/hour.Therefore, the value range of preset rail traffic speed exists
250-350 kilometers/hour, preferred value is 250 kilometers/hour.When calculated user velocity be greater than rail traffic speed, then sentence
The fixed user is rail traffic user.These data are finally saved as into regular data format and output.
Identification for high-speed rail user, specific process may refer to a kind of high-speed rail user identification method shown in fig. 5
Base station work parameter is obtained high-speed rail base station and gray area station list, together according to being added in high-speed rail line map first by flow diagram
When obtain signaling data, JVP data are obtained after processing.After filtering out the data in high-speed rail trip segment, if what JVP data were passed through
Base station merges the high-speed rail stroke segment data in each province other than gray area, compare apart from calculating with normal high-speed rail section
To high-speed rail data, regular high-speed rail data result simultaneously exports high-speed rail data result.
In aforesaid way, signaling data is sorted according to interaction time, obtains the approach point of user after removing invalid data
Data；Describe the division methods of base station area type；And the step of extracting rail traffic stroke segment data is described in detail；It is right
It is remarked additionally in the case where shortage of data；Describe judge user whether be rail traffic user method.It can increase
The accuracy rate for adding rail traffic user to identify, save the cost and time.
It should be noted that the embodiments are all described in a progressive manner for above-mentioned each method, each embodiment is stressed
Be the difference from other embodiments, the same or similar parts between the embodiments can be referred to each other.
Embodiment 3
Corresponding to above method embodiment, the embodiment of the invention provides a kind of rail traffic customer identification device, such as Fig. 6
Shown in a kind of structural schematic diagram of rail traffic customer identification device, which includes:
Data acquisition module 61, is used for: obtaining the approach point data of user；Approach point data includes: the mobile end of user
The location information of the base station of end mark, signaling interaction time and each Signalling exchange；
Basestation marker module 62, is used for: based on base station at a distance from the rail line obtained in advance determined base station
Area type, the quantity of each base station area type in statistical approach point data；Wherein, the base station of same base station area type
With belong to same range at a distance from rail line；
Trip segment extraction module 63, is used for: extracting rail from approach point data according to the quantity of each base station area type
Road traffic stroke segment data；
User's judgment module 64, is used for: judging whether user is rail traffic user according to rail traffic stroke segment data.
Rail traffic customer identification device provided in an embodiment of the present invention obtains the rail traffic including base station location in advance
Route divides the base station that the approach point data of user includes according to base station at a distance from the rail line obtained in advance
Class is divided into different base station area types, is mentioned according to the quantity of base station area type from approach point data Zhong Tu area's track and being handed over
Current journey segment data, according to formation number of segment it is judged that whether user is rail traffic user.Rail traffic user knowledge can be increased
Other accuracy rate, save the cost and time.
In some embodiments, data acquisition module is used for: obtaining the signaling data of user；Signaling data includes: user
Mobile terminal identification, signaling interaction time and each Signalling exchange base station location information；Signaling data is handed over by signaling
Mutual time-sequencing obtains signaling data stream；The invalid data in signaling data stream is removed, the approach point data of user is obtained.
In some embodiments, basestation marker module is used for: if base station and the rail line that obtains in advance away from
It is first area base station by basestation marker from first threshold is less than；If base station and the rail line that obtains in advance away from
From be more than or equal to first threshold, and be less than second threshold, by basestation marker be second area base station；If base station with obtain in advance
The distance of the rail line taken is more than or equal to second threshold, is third origin base station by basestation marker.
In some embodiments, trip segment extraction module is used for: first object data are extracted from approach point data；Such as
The quantity for the first area base station that fruit first object data include is greater than preset first area base station number threshold value, first object
The time span of data is greater than preset first time length threshold, and the travel speed of first object data is greater than preset speed
Threshold value, also, the ratio of the base station number for including of first object data and approach the point data base station number that includes be greater than it is pre-
If fractional threshold；Then first object data are rail traffic stroke segment data.
In some embodiments, trip segment extraction module is used for: the second target data is extracted from approach point data；When
Second target data includes third origin base station, and the second target data does not include first area base station and second area base station
When；If the time span of the second target data is less than preset second time span threshold value, the second target data is track
Traffic stroke segment data.
In some embodiments, trip segment extraction module is used for: third target data is extracted from approach point data；When
Third target data includes second area base station, and third target data does not include first area base station and third origin base station
When；Then third target data is rail traffic stroke segment data.
In some embodiments, trip segment extraction module is used for: when there are when signaling missing for approach point data；If way
The time difference of two data points of missing front and back is less than or equal to preset time difference threshold value in diameter point data, then the way of signaling missing
Diameter point data is rail traffic stroke segment data；When there are when signaling missing for approach point data；If lacking two numbers of front and back
The time difference at strong point is greater than time difference threshold value, also, the speed for lacking two data points of front and back is more than or equal to preset minimum
Threshold speed, then the approach point data of signaling missing is rail traffic stroke segment data.
In some embodiments, user's judgment module is used for: the speed of user is calculated according to rail traffic stroke segment data
Degree；If the speed of user is more than or equal to preset rail traffic speed；Then user is rail traffic user.
Rail traffic customer identification device provided in an embodiment of the present invention, with rail traffic user provided by the above embodiment
Identify that dress method technical characteristic having the same reaches identical technical effect so also can solve identical technical problem.
It is apparent to those skilled in the art that for convenience and simplicity of description, the device of foregoing description
And/or the specific work process of terminal device, it can refer to corresponding processes in the foregoing method embodiment, details are not described herein.
Finally, it should be noted that embodiment described above, only a specific embodiment of the invention, to illustrate the present invention
Technical solution, rather than its limitations, scope of protection of the present invention is not limited thereto, although with reference to the foregoing embodiments to this hair
It is bright to be described in detail, those skilled in the art should understand that: anyone skilled in the art
In the technical scope disclosed by the present invention, it can still modify to technical solution documented by previous embodiment or can be light
It is readily conceivable that variation or equivalent replacement of some of the technical features；And these modifications, variation or replacement, do not make
The essence of corresponding technical solution is detached from the spirit and scope of technical solution of the embodiment of the present invention, should all cover in protection of the invention
Within the scope of.Therefore, the protection scope of the present invention shall be subject to the protection scope of the claims.
Claims (10)
1. a kind of rail traffic user identification method characterized by comprising
Obtain the approach point data of user；When the approach point data includes: the mobile terminal identification of the user, Signalling exchange
Between and each Signalling exchange base station location information；
Based on base station at a distance from the rail line obtained in advance determined base station area type, count approach points
According to each of the base station area type quantity；Wherein, the base station of same base station area type and the rail line
The distance on road belongs to same range；
Rail traffic stroke segment data is extracted from the approach point data according to the quantity of each base station area type；
Judge whether the user is rail traffic user according to the rail traffic stroke segment data.
2. the method according to claim 1, wherein the step of obtaining the approach point data of user, comprising:
Obtain the signaling data of user；The signaling data includes: the mobile terminal identification of the user, signaling interaction time and
The location information of the base station of each Signalling exchange；
The signaling data is sorted by the signaling interaction time, obtains signaling data stream；
The invalid data in the signaling data stream is removed, the approach point data of user is obtained.
3. the method according to claim 1, wherein based on base station and the rail line that in advance obtains away from
The step of from determined base station area type, comprising:
It is the by the basestation marker if the base station is less than first threshold at a distance from the rail line obtained in advance
One origin base station；
If the base station is more than or equal to the first threshold at a distance from the rail line obtained in advance, and less than the
The basestation marker is second area base station by two threshold values；
If the base station is more than or equal to the second threshold at a distance from the rail line obtained in advance, by the base station
Labeled as third origin base station.
4. according to the method described in claim 3, it is characterized in that, according to the quantity of each base station area type from described
The step of rail traffic stroke segment data is extracted in approach point data, comprising:
First object data are extracted from the approach point data；
If the quantity for the first area base station that the first object data include is greater than preset first area base station number threshold
The time span of value, the first object data is greater than preset first time length threshold, the row of the first object data
Cheng Sudu is greater than preset threshold speed, also, the base station number for including of the first object data and the approach are counted
It is greater than preset fractional threshold according to the ratio for the base station number for including；Then the first object data are rail traffic stroke number of segment
According to.
5. according to the method described in claim 4, it is characterized in that, according to the quantity of each base station area type from described
The step of rail traffic stroke segment data is extracted in approach point data, further includes:
The second target data is extracted from the approach point data；
When second target data includes third origin base station, and the second target data does not include first area base station and
When two origin base stations；If the time span of second target data is less than preset second time span threshold value, described
Second target data is rail traffic stroke segment data.
6. according to the method described in claim 4, it is characterized in that, according to the quantity of each base station area type from described
The step of rail traffic stroke segment data is extracted in approach point data, further includes:
Third target data is extracted from the approach point data；
When the third target data includes second area base station, and third target data does not include first area base station and
When three origin base stations；Then the third target data is rail traffic stroke segment data.
7. the method according to claim 1, wherein according to the quantity of each base station area type from described
The step of rail traffic stroke segment data is extracted in approach point data, further includes:
When there are when signaling missing for the approach point data；If two data points of missing front and back in the approach point data
Time difference is less than or equal to preset time difference threshold value, then the approach point data of signaling missing is rail traffic stroke number of segment
According to；
When there are when signaling missing for the approach point data；If the time difference of two data points before and after the missing is greater than institute
Time difference threshold value is stated, also, the speed of two data points before and after the missing is more than or equal to preset minimum speed threshold value, then
The approach point data of signaling missing is rail traffic stroke segment data.
8. the method according to claim 1, wherein judging the use according to the rail traffic stroke segment data
The step of whether family is rail traffic user, comprising:
The speed of the user is calculated according to the rail traffic stroke segment data；
If the speed of the user is more than or equal to preset rail traffic speed；Then the user is rail traffic user.
9. a kind of rail traffic customer identification device characterized by comprising
Data acquisition module is used for: obtaining the approach point data of user；The approach point data includes: the movement of the user
The location information of the base station of terminal iidentification, signaling interaction time and each Signalling exchange；
Basestation marker module, is used for: based on base station at a distance from the rail line obtained in advance determined base station area class
Type counts the quantity of each of described approach point data base station area type；Wherein, the base of same base station area type
It stands and belongs to same range at a distance from the rail line；
Trip segment extraction module, is used for: being extracted from the approach point data according to the quantity of each base station area type
Rail traffic stroke segment data；
User's judgment module, is used for: judging whether the user is that rail traffic is used according to the rail traffic stroke segment data
Family.
10. device according to claim 9, which is characterized in that data acquisition module is used for:
Obtain the signaling data of user；The signaling data includes: the mobile terminal identification of the user, signaling interaction time and
The location information of the base station of each Signalling exchange；
The signaling data is sorted by the signaling interaction time, obtains signaling data stream；
The invalid data in the signaling data stream is removed, the approach point data of user is obtained.
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Cited By (4)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN112104975A (en) * | 2020-09-08 | 2020-12-18 | 中国联合网络通信集团有限公司 | Deployment method and device of wireless access network equipment |
| CN112333689A (en) * | 2020-11-24 | 2021-02-05 | 智慧足迹数据科技有限公司 | Wide-area high-speed railway station identification method and device, server and storage medium |
| CN113543032A (en) * | 2020-04-21 | 2021-10-22 | 中国移动通信集团广东有限公司 | Model training method and device, user identification method and device, and electronic device |
| CN114422973A (en) * | 2022-03-30 | 2022-04-29 | 北京融信数联科技有限公司 | Internet taxi appointment driver intelligent identification method and system based on big data and readable storage medium |
Citations (4)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN105608505A (en) * | 2015-12-22 | 2016-05-25 | 重庆邮电大学 | Cellular signaling data based track traffic travel mode identification method for resident |
| CN106658394A (en) * | 2015-11-04 | 2017-05-10 | 中国移动通信集团公司 | High-speed rail user separation method and apparatus thereof |
| CN109525959A (en) * | 2018-12-03 | 2019-03-26 | 中国联合网络通信集团有限公司 | High-speed railway user separation method and system, signaling data processing method and system |
| CN110099353A (en) * | 2019-05-10 | 2019-08-06 | 中国联合网络通信集团有限公司 | Train user identification method and equipment |
-
2019
- 2019-08-15 CN CN201910755903.3A patent/CN110460962B/en active Active
Patent Citations (4)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN106658394A (en) * | 2015-11-04 | 2017-05-10 | 中国移动通信集团公司 | High-speed rail user separation method and apparatus thereof |
| CN105608505A (en) * | 2015-12-22 | 2016-05-25 | 重庆邮电大学 | Cellular signaling data based track traffic travel mode identification method for resident |
| CN109525959A (en) * | 2018-12-03 | 2019-03-26 | 中国联合网络通信集团有限公司 | High-speed railway user separation method and system, signaling data processing method and system |
| CN110099353A (en) * | 2019-05-10 | 2019-08-06 | 中国联合网络通信集团有限公司 | Train user identification method and equipment |
Cited By (8)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN113543032A (en) * | 2020-04-21 | 2021-10-22 | 中国移动通信集团广东有限公司 | Model training method and device, user identification method and device, and electronic device |
| CN113543032B (en) * | 2020-04-21 | 2022-12-16 | 中国移动通信集团广东有限公司 | Model training method and device, user identification method and device, and electronic device |
| CN112104975A (en) * | 2020-09-08 | 2020-12-18 | 中国联合网络通信集团有限公司 | Deployment method and device of wireless access network equipment |
| CN112104975B (en) * | 2020-09-08 | 2022-05-13 | 中国联合网络通信集团有限公司 | Deployment method and device of wireless access network equipment |
| CN112333689A (en) * | 2020-11-24 | 2021-02-05 | 智慧足迹数据科技有限公司 | Wide-area high-speed railway station identification method and device, server and storage medium |
| CN112333689B (en) * | 2020-11-24 | 2021-08-31 | 智慧足迹数据科技有限公司 | Wide-area high-speed railway station identification method and device, server and storage medium |
| CN114422973A (en) * | 2022-03-30 | 2022-04-29 | 北京融信数联科技有限公司 | Internet taxi appointment driver intelligent identification method and system based on big data and readable storage medium |
| CN114422973B (en) * | 2022-03-30 | 2022-06-28 | 北京融信数联科技有限公司 | Internet taxi appointment driver intelligent identification method and system based on big data and readable storage medium |
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|---|---|
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