CN107182034B - Urban Transport Terminals point evaluation method based on complex network and mobile phone signaling data - Google Patents
Urban Transport Terminals point evaluation method based on complex network and mobile phone signaling data Download PDFInfo
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- CN107182034B CN107182034B CN201710616366.5A CN201710616366A CN107182034B CN 107182034 B CN107182034 B CN 107182034B CN 201710616366 A CN201710616366 A CN 201710616366A CN 107182034 B CN107182034 B CN 107182034B
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- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04W—WIRELESS COMMUNICATION NETWORKS
- H04W24/00—Supervisory, monitoring or testing arrangements
- H04W24/08—Testing, supervising or monitoring using real traffic
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- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04W—WIRELESS COMMUNICATION NETWORKS
- H04W36/00—Hand-off or reselection arrangements
- H04W36/24—Reselection being triggered by specific parameters
- H04W36/32—Reselection being triggered by specific parameters by location or mobility data, e.g. speed data
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Abstract
The Urban Transport Terminals point evaluation method based on complex network and mobile phone signaling data that the invention discloses a kind of, first pre-processes the base station of mobile phone in area to be studied；Secondly, the feature based on base station location switching, obtains the track of each mobile phone in area to be studied；The relational network between base station is determined further according to mobile phone track, i.e., reflects the relation intensity between base station using the switching of the mobile phone of people in a base station, and then embody the operation characteristic of people spatially；Finally, determine that those can characterize the base station of Urban Transport Terminals based on Complex Networks Theory.The present invention realizes the contact feature of the switching based on cellular base station and Complex Networks Theory, and the location determination and its relevant communications policy to Urban Transport Terminals point provide foundation.
Description
Technical field
The present invention relates to urban plannings and field of urban traffic, especially a kind of to be based on complex network and mobile phone signaling data
Urban Transport Terminals point evaluation method.
Background technology
Urban Transport Terminals unquestionably have great importance for urban planning and traffic administration.Although transport hub
The crosspoint that road is often shown as in city is easy to be found and gone field evaluation by people.But, it tends to be difficult to
Active characteristics of the reflection people on Urban Transport Terminals are more objectively gone, especially evaluate friendship according to the trip characteristics of people
The hierarchical system of logical hinge.In recent years, mobile phone signaling big data is unfolded in urban planning, traffic administration, governance etc.
Very extensive use, and achieve significant effect.These application be mainly based upon mobile phone signaling data have it is larger
Crowd's coverage and mobile phone mobile signaling protocol data can be with the trip tracks of recorder.Since mobile phone signaling is to be based on base station location
It is positioned, so in a sense, the trip track based on mobile phone signaling is namely based on base station location switching
Trip network.For this network, first, the basic structure and node diagnostic for understanding network are studied, so as to from entirety
On have more clear understanding to the travel activity of people.Currently, Complex Networks Theory is carrying out extensive node and node
Between contact research when achieved immense success, and form such as degree distribution, weighting degree distribution, Betweenness Centrality divide
Cloth, the method for closing on analysis the network global feature and nodal community such as centrality distribution and community's detection, can be to network spy
Numerous key problems in sign research are effectively answered, such as the provincial characteristics contacted between the hierarchical organization of node, node, and
Base station switching is formed by Trace network exactly by a large amount of node（Website）And the contact between node is formed.Secondly,
Node important in network is evaluated.Based on this, we can easily have found according to Node Contraction in Complex Networks definition：
The Betweenness Centrality of node expresses the hub feature of network, if it is possible to which the higher base station of those Betweenness Centralities is searched out
Come, it also can be to provide certain basis for the objective judgement of Urban Transport Terminals.Therefore, complex network and mobile phone signaling are based on
The Urban Transport Terminals point evaluation of data is a kind of more objective analysis method, can do the weight of conventional traffic hinge point analysis
Want compensation process.
However, also lacking enough research based on Trace network feature caused by mobile phone signaling data, it is based particularly on
The analysis of complex network.There is also following technological difficulties in the prior art：The geographical location of base station there are overlapping phenomenon,
The distance between some base stations are close.These problems can cause similar multiple base stations on geographical location to be actually to merge
, otherwise the trip node diagnostic of a zonule is expressed on multiple base stations, and then reduce going out for this region
Row feature.How the data that complex network can be analyzed will be converted to based on the track data that base station location switches.
Invention content
There is provided the technical problem to be solved by the present invention is to overcome the deficiencies in the prior art it is a kind of based on complex network and
The Urban Transport Terminals point evaluation method of mobile phone signaling data, the present invention can effectively improve traffic in conjunction with mobile phone signaling big data
The accuracy of pivot point evaluation, decision-making foundation is provided for urban planning and traffic administration.
The present invention uses following technical scheme to solve above-mentioned technical problem：
According to a kind of Urban Transport Terminals point evaluation side based on complex network and mobile phone signaling data proposed by the present invention
Method includes the following steps：
Step 1 pre-processes the base station of mobile phone in area to be studied；It is specific as follows：
All base stations with exclusive identification code in step 1.1, traversal area to be studied；
Step 1.2 is less than preset threshold value if there is the geographical space distances of two base stations, then closes the two base stations
And be a base station, the spatial position of the base station after merging takes the centre position of the two base stations；
The one-to-one correspondence table DY of exclusive identification code is established in base station after merging by step 1.3 with the base station before merging；
After the completion of step 1.4, traversal, new station list JZ is formed；
Step 2 obtains the track that each mobile phone is switched based on base station location in area to be studied, all mobile phones in area to be studied
Track record based on base station location switching is set GJ；
It is specific as follows to obtain the track that each mobile phone is switched based on base station location：
For each mobile phone in area to be studied, sequentially in time, as long as the base station that mobile phone is connected is switched,
The exclusive identification code of base station where then recording mobile phone, to obtain the track that each mobile phone is switched based on base station location；If required
There are the exclusive identification codes of the base station after corresponding merging in DY for the exclusive identification code for the base station to be recorded, then by required note
The base station of record is recorded as the exclusive identification code of the base station after merging；
Step 3 determines the relational network between base station according to mobile phone track；It is specific as follows：
Each mobile phone is formed by track since base station location switches in step 3.1, traversal set GJ；
Step 3.2, in chronological order, to two base stations of arbitrary neighborhood in each mobile phone track as a record L；
Step 3.3, structure dictionary list DList, dictionary list DList is stored in by L, if not including this in DList
The L is then added in DList by L, and its quantity is denoted as 1, if in DList having included this L, by L in this DList
Quantity adds 1；
Step 4, the position that transport hub is calculated based on Complex Networks Theory, it is specific as follows：
Step 4.1 is established to station list JZ and dictionary list DList according to Complex Networks Theory and is based on base station location
The motion track complex network data set W of switching；
Betweenness Centrality index calculating method in step 4.2, foundation complex network, selects Betweenness Centrality in W and is more than
The base station of predetermined threshold value；
Step 4.3, by base station location and GIS visual representing methods, the base station filtered out is reflected in city map
On.
As a kind of Urban Transport Terminals point evaluation side based on complex network and mobile phone signaling data of the present invention
Method advanced optimizes scheme, in step 1.3, exclusive identification code possessed by the base station after merging with merge before base station it is unique
Identification code, which can be realized, mutually to be looked into.
As a kind of Urban Transport Terminals point evaluation side based on complex network and mobile phone signaling data of the present invention
Method advanced optimizes scheme, according to the exclusive identification code and sequencing of two base stations, determines the uniqueness of L.
As a kind of Urban Transport Terminals point evaluation side based on complex network and mobile phone signaling data of the present invention
Method advanced optimizes scheme, and the data format of W is the data format suitable for Pajek Complex Networks Analysis softwares.
As a kind of Urban Transport Terminals point evaluation side based on complex network and mobile phone signaling data of the present invention
Method advanced optimizes scheme, and dictionary list DLis includes keyword and value, wherein keyword record is in dictionary list DLis
The title of L, what dictionary list DLis intermediate values recorded is the quantity of L.
The present invention has the following technical effects using above technical scheme is compared with the prior art：
（1）A kind of Urban Transport Terminals point evaluation method based on complex network and mobile phone signaling data of the present invention, passes through
The method can apply the large sample size characteristic superiority of mobile phone signaling big data in chokepoint evaluation, and then improve and divide
Analyse the confidence level and accuracy of result；Meanwhile mobile phone signaling data more can really reflect that the trip track of people is special
Sign, therefore, the present invention can provide preferable As-Is analysis basis for urban planning and traffic administration, contribute to from the true of people
Trip visual angle proposes rational programme；
（2）The present invention is based on the methods of complex network, and reflection transport node can be removed by the analysis of the global feature of network
Spatial diversity；At the same time, the structure of complex network is the trip track data obtained based on mobile phone signaling in analysis；Cause
This, the analytical conclusions obtained based on Complex Networks Theory in the present invention are more objective；In addition, data provided by the present invention turn
Change method（The trip track data that will be obtained based on mobile phone signaling is converted to the required data lattice of Complex Networks Analysis
Formula）Has the characteristics that simple, practical, science and efficient.
Description of the drawings
Fig. 1 is the overall flow schematic diagram of the present invention；
Fig. 2 is the schematic diagram of base station location distribution；
Fig. 3 is the schematic diagram of mobile phone switching track among base station；
Fig. 4 is the statistics schematic diagram of position handover information between base station；
Fig. 5 is suitable for the required data format schematic diagram of Complex Networks Analysis；
Fig. 6 is the distribution of grades schematic diagram of base station Betweenness Centrality.
Specific implementation mode
Technical scheme of the present invention is described in further detail below in conjunction with the accompanying drawings：
Technical solution proposed by the invention, which is mainly the base station connected according to personal mobile phone, can carry out position switching, into
And form personal track.If base station regarded as a little, the position of mobile phone between the base stations switches the company between regarding as a little
It connects, then a network will be formed.This network divides network node after carrying out the statistics in certain time
Analysis more can objectively reflect feature of the trip of people in city on certain places.Complex Networks Theory carries out very much
The complicated research contacted between node and node on a large scale, and mobile phone signaling data general data amount is larger, therefore based on multiple
Miscellaneous network theory can preferably improve the science of analysis result.Meanwhile Complex Networks Theory is for the node tool in network
There is a set of more perfect evaluation index, wherein the Betweenness Centrality index of node refers to putting by certain in network and connecting this
2 points of shortest path accounts for the ratio between shortest path radial line sum between this 2 points, has weighed energy of the node as go-between
Power, that is, reflect the ability of transport hub.Therefore, by the Betweenness Centrality index in complex network can preferably into
The evaluation of row chokepoint.
The method of the present invention is as follows：
Step 1）Referring to attached drawing 1, it is necessary first to be pre-processed to cellular base station data in area to be studied.
Step 1.1）Referring to attached drawing 2, area to be studied contain identification code be respectively " A ", " B ", " C ", " D ", " E ", " F ",
7 base stations of " G ".Traverse all base stations with exclusive identification code in area to be studied.
Step 1.2）In traversal, it is less than preset threshold value 50 if there is the geographical space distance of two cellular base station points
Rice, then merge into a cellular base station point, the spatial position of mobile phone base sites takes two after merging by the two cellular base station points
The centre position of cellular base station point.Wherein, the position of two base stations E and F is that the distance between overlapping, two base stations D and G are
20 meters（Less than preset threshold value）, therefore the base stations E and F retain E base stations, and the base stations D and G take intermediate location point, and by new base station
It is recorded as H.
Step 1.3）Since F, D, G3 base stations have carried out merging treatment in step 1.2, E is the base station remained, therefore
Need to establish list DY to this 3 base stations merge afterwards with merge before alignment processing so that if subsequent processing encounter F,
D, when these three base stations G, corresponding base station is wanted after pretreatment can be found.For this example, F, D, G will correspond to respectively E,
H、H。
After the completion of step 1.4, traversal, new station list JZ is formed.For this example, JZ will include A, B, C, E,
H5 high ferro website.
Step 2）Secondly the track that each mobile phone is switched based on base station location is calculated referring to attached drawing 1.
Step 2.1）All mobile phone set SJ in area to be studied are obtained, have 5 mobile phones, respectively mobile phone 1, hand in this example
Machine 2, mobile phone 3, mobile phone 4 and mobile phone 5.
Step 2.2）For each mobile phone in set SJ, sequentially in time, as long as the base station that mobile phone is connected has occurred
Switching, the then exclusive identification code of base station where recording mobile phone.Wherein, when recording the exclusive identification code of base station where mobile phone, lead to
The inspection to DY is crossed, whether record base station required for determining will be recorded as the exclusive identification code of the base station after merging.
Referring to attached drawing 3, the track of mobile phone 1 is A-->B-->The track of C, mobile phone 2 are B-->C-->D, the track of mobile phone 3
It is H-->C-->The track of F, mobile phone 4 are H-->C-->The track of H, mobile phone 5 are E-->H-->C.F, D, G in reference listing DY
E, H, H are corresponded to respectively.Therefore, the track of 5 mobile phones needs to be changed to：The track of mobile phone 1 is A-->B-->C, the rail of mobile phone 2
Mark is B-->C-->The track of H, mobile phone 3 are H-->C-->The track of E, mobile phone 4 are H-->C-->The track of H, mobile phone 5 are
E-->H-->C.Track record by all cellular base station position switchings in set SJ is set GJ.
Step 3）Referring to attached drawing 1, the relational network between base station is determined further according to user trajectory.
Step 3.1）Each mobile phone is formed by track since base station location switches in traversal set GJ；
Step 3.2）In chronological order, it to the base station of arbitrary neighborhood in each mobile phone track, is recorded as one, is denoted as L,
And the uniqueness of L is determined according to the exclusive identification code of two base stations and sequencing.Referring to attached drawing 4,6 classes difference can be collected into
Record, respectively A-->B、B-->C、C-->H、H-->C、C-->E、E-->H.
Step 3.3）Structure dictionary list DList is for storing L, wherein and what keyword recorded is the title of L in dictionary,
What dictionary intermediate value recorded is the quantity of L；
Step 3.4）For the DList generated every time, if not including this L value in DList, it is added in DList, and
Its quantity is denoted as 1.If in DList having included this L value, the quantity of L in this DList is added 1.A-->B be 1,
B-->C is 2, C-->H is 2, H-->C is 3, C-->E is 1, E-->H is 1.
Step 4）Referring to attached drawing 1, finally, the position of transport hub is calculated based on Complex Networks Theory.
Step 4.1）Station list JZ and DList dictionary list is established and is based on base station location according to Complex Networks Theory
The motion track complex network data set of switching, is denoted as W；Referring to the data format that attached drawing 5 is this example, it is suitable for Pajek
Etc. Complex Networks Analysis software a kind of common data form.
Step 4.2）According to Betweenness Centrality index calculating method in complex network, Betweenness Centrality in set W is selected
More than the node of certain threshold value.Referring to attached drawing 6, the Betweenness Centrality of base station B, C are relatively high, can be used as traffic in this example
The main selected element of pivot point.
Step 4.3）By base station location and GIS visual representing methods, the node filtered out is reflected in city map
On, i.e., important chokepoint is shown by the methods of grade visualization.
The above content is a further detailed description of the present invention in conjunction with specific preferred embodiments, and it cannot be said that
The specific implementation of the present invention is confined to these explanations.For those of ordinary skill in the art to which the present invention belongs, exist
Under the premise of not departing from present inventive concept, several simple deductions or replacement can also be made, all shall be regarded as belonging to the present invention's
Protection domain.
Claims (5)
1. a kind of Urban Transport Terminals point evaluation method based on complex network and mobile phone signaling data, which is characterized in that including
Following steps：
Step 1 pre-processes the base station of mobile phone in area to be studied；It is specific as follows：
All base stations with exclusive identification code in step 1.1, traversal area to be studied；
Step 1.2 is less than preset threshold value if there is the geographical space distances of two base stations, then merges into the two base stations
The spatial position of one base station, the base station after merging takes the centre position of the two base stations；
The one-to-one correspondence table DY of exclusive identification code is established in base station after merging by step 1.3 with the base station before merging；
After the completion of step 1.4, traversal, new station list JZ is formed；
Step 2 obtains the track that each mobile phone is switched based on base station location in area to be studied, and all mobile phones are based in area to be studied
The track record of base station location switching is set GJ；
It is specific as follows to obtain the track that each mobile phone is switched based on base station location：
For each mobile phone in area to be studied, sequentially in time, as long as the base station that mobile phone is connected is switched, then remember
The exclusive identification code of base station where recording mobile phone, to obtain the track that each mobile phone is switched based on base station location；If required note
There are the exclusive identification codes of the base station after corresponding merging in DY for the exclusive identification code of the base station of record, then by required record
Base station is recorded as the exclusive identification code of the base station after merging；
Step 3 determines the relational network between base station according to mobile phone track；It is specific as follows：
Each mobile phone is formed by track since base station location switches in step 3.1, traversal set GJ；
Step 3.2, in chronological order, to two base stations of arbitrary neighborhood in each mobile phone track as a record L；
Step 3.3, structure dictionary list DList, dictionary list DList is stored in by L, if not including this L in DList,
The L is added in DList, and its quantity is denoted as 1, if in DList having included this L, by the quantity of L in this DList
Along with 1；
Step 4, the position that transport hub is calculated based on Complex Networks Theory, it is specific as follows：
Step 4.1 is established and is switched based on base station location to station list JZ and dictionary list DList according to Complex Networks Theory
Motion track complex network data set W；
Step 4.2, according to Betweenness Centrality index calculating method in complex network, select Betweenness Centrality in W be more than it is default
The base station of threshold value；Wherein, Betweenness Centrality index refer to put and connect by certain in network this 2 points shortest path account for this two
The ratio between shortest path radial line sum between point；
Step 4.3, by base station location and GIS visual representing methods, the base station filtered out is reflected on city map.
2. a kind of Urban Transport Terminals point evaluation side based on complex network and mobile phone signaling data according to claim 1
Method, which is characterized in that in step 1.3, exclusive identification code possessed by the base station after merging with merge before base station unique mark
Knowledge code, which can be realized, mutually to be looked into.
3. a kind of Urban Transport Terminals point evaluation side based on complex network and mobile phone signaling data according to claim 1
Method, which is characterized in that according to the exclusive identification code and sequencing of two base stations, determine the uniqueness of L.
4. a kind of Urban Transport Terminals point evaluation side based on complex network and mobile phone signaling data according to claim 1
Method, which is characterized in that the data format of W is the data format suitable for Pajek Complex Networks Analysis softwares.
5. a kind of Urban Transport Terminals point evaluation side based on complex network and mobile phone signaling data according to claim 1
Method, which is characterized in that dictionary list DLis includes keyword and value, wherein that keyword records in dictionary list DLis is L
Title, what dictionary list DLis intermediate values recorded is the quantity of L.
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| CN110012514B (en) * | 2019-03-29 | 2021-04-06 | 北京锦鸿希电信息技术股份有限公司 | Train wireless communication optimization method and system |
| CN113449403B (en) * | 2021-06-28 | 2023-11-10 | 江苏省城市规划设计研究院有限公司 | Complex network node evaluation method based on hierarchical network division |
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Address after: 210019 Building B3, No. 1, Yunlongshan Road, Jianye District, Nanjing, Jiangsu Patentee after: Jiangsu urban planning and Design Institute Co.,Ltd. Address before: 210036 Jiangsu Jianshe Building, No. 88, Caochangmen Street, Gulou District, Nanjing, Jiangsu Patentee before: JIANGSU INSTITUTE OF URBAN PLANNING AND DESIGN |