CN107182034A - 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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- CN107182034A CN107182034A CN201710616366.5A CN201710616366A CN107182034A CN 107182034 A CN107182034 A CN 107182034A CN 201710616366 A CN201710616366 A CN 201710616366A CN 107182034 A CN107182034 A CN 107182034A
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- identification code
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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 invention discloses a kind of Urban Transport Terminals point evaluation method based on complex network and mobile phone signaling data, the base station of mobile phone in area to be studied is pre-processed first；Secondly, the feature switched based on base station location, 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., reflect the relation intensity between base station using the mobile phone switching in a base station of people, 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 switching contact feature and Complex Networks Theory based on cellular base station, and the position of Urban Transport Terminals point is determined and its communications policy of correlation provides foundation.
Description
Technical field
It is particularly a kind of to be based on complex network and mobile phone signaling data the present invention relates to urban planning and field of urban traffic
Urban Transport Terminals point evaluation method.
Background technology
Urban Transport Terminals certainly have great importance for urban planning and traffic administration.Although transport hub
The crosspoint of 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
More objectively go to reflect active characteristics of the people on Urban Transport Terminals, particularly evaluate friendship according to the trip characteristicses of people
The hierarchical system of logical hinge.In recent years, mobile phone signaling big data is deployed in terms of urban planning, traffic administration, governance
Use widely, and achieve significant effect.These applications, which are mainly based upon mobile phone signaling data, larger
Crowd's coverage and mobile phone mobile signaling protocol data can be with the trip tracks of recorder.Because mobile phone signaling is to be based on base station location
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 networking, 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.At present, Complex Networks Theory is carrying out extensive node and node
Between contact research when achieved immense success, and form such as degree distribution, the distribution of weighting degree, Betweenness Centrality and divide
Cloth, the method for closing on the analysis network global feature such as centrality distribution and community's detection and nodal community, can be special to network
The numerous key problems levied in research are effectively answered, the provincial characteristics contacted between the hierarchical organization of such as node, node, and
Base station switches formed Trace network exactly by substantial amounts of node（Website）And the contact between node is constituted.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, also can be to provide certain basis for the objective judgement of Urban Transport Terminals.Therefore, based on complex network and mobile phone signaling
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 the Trace network feature produced by mobile phone signaling data, it is based particularly on
The analysis of complex network.Also there are following technological difficulties in the prior art：There is overlapping phenomenon in the geographical position of base station,
The distance between some base stations are close.These problems can cause multiple base stations close on geographical position 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.
The content of the invention
The technical problems to be solved by the invention be overcome the deficiencies in the prior art and provide 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 with reference to mobile phone signaling big data
The accuracy that pivot point is evaluated, is that urban planning and traffic administration provide decision-making foundation.
The present invention uses following technical scheme to solve above-mentioned technical problem：
According to a kind of Urban Transport Terminals point evaluation method based on complex network and mobile phone signaling data proposed by the present invention, bag
Include following steps：
Step 1, the base station to mobile phone in area to be studied are pre-processed；It is specific as follows：
All base stations with exclusive identification code in step 1.1, traversal area to be studied；
Step 1.2, the geographical space distance if there is two base stations are less than default threshold value, then merge into the two base stations
One base station, the locus of the base station after merging takes the centre position of the two base stations；
Step 1.3, the base station after merging with the base station before merging set up into the one-to-one corresponding table DY of exclusive identification code；
After the completion of step 1.4, traversal, new station list JZ is formed；
All mobile phones are based in the track that each mobile phone is switched based on base station location in step 2, acquisition area to be studied, area to be studied
The track record of base station location switching is set GJ；
Obtain each mobile phone specific as follows based on the track that base station location switches：
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, so as to obtain the track that each mobile phone is switched based on base station location；If required note
There is the exclusive identification code of the base station after corresponding merging in the exclusive identification code of the base station of record, then in DY by required record
Base station is recorded as the exclusive identification code of the base station after merging；
Step 3, the relational network between base station determined according to mobile phone track；It is specific as follows：
The track formed by base station location switching of each mobile phone in step 3.1, traversal set GJ；
Two base stations of arbitrary neighborhood in each mobile phone track are used as a record L by step 3.2, in chronological order；
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 designated as 1, if this L is included in DList, by the quantity of L in this DList
Along with 1；
Step 4, the position based on Complex Networks Theory calculating transport hub, it is specific as follows：
Step 4.1, foundation Complex Networks Theory, to station list JZ and dictionary list DList, set up based on base station location switching
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；
Step 4.3, by base station location and GIS visual representing methods, the base station filtered out is reflected on city map.
It is used as a kind of Urban Transport Terminals point evaluation side based on complex network and mobile phone signaling data of the present invention
In the further prioritization scheme of method, step 1.3, the exclusive identification code that the base station after merging has with merge before base station it is unique
Identification code, which can be realized, mutually to be looked into.
It is used as a kind of Urban Transport Terminals point evaluation side based on complex network and mobile phone signaling data of the present invention
The further prioritization scheme of method, according to the exclusive identification code and sequencing of two base stations, determines L uniqueness.
It is used as a kind of Urban Transport Terminals point evaluation side based on complex network and mobile phone signaling data of the present invention
The further prioritization scheme of method, W data format applies to the data format of Pajek Complex Networks Analysis softwares.
It is used as a kind of Urban Transport Terminals point evaluation side based on complex network and mobile phone signaling data of the present invention
The further prioritization scheme of method, dictionary list DLis includes keyword and value, wherein, what keyword was recorded in dictionary list DLis is
L title, what dictionary list DLis intermediate values were recorded is L quantity.
The present invention uses above technical scheme compared with prior art, with following technique effect：
（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 this side
Method can apply the large sample measure feature advantage of mobile phone signaling big data in chokepoint evaluation, and then improve analysis knot
The confidence level and accuracy of fruit；Meanwhile, mobile phone signaling data more can really reflect the trip track characteristic of people, because
This, the present invention can be that urban planning and traffic administration provide preferable As-Is analysis basis, contribute to the true trip from people
Visual angle proposes rational programme；
（2）Method of the invention based on complex network can go to reflect the space of transport node by the global feature analysis of network
Difference；At the same time, the structure of complex network is the trip track data drawn based on mobile phone signaling in analysis；Therefore, originally
The analytical conclusions drawn in invention based on Complex Networks Theory are more objective；In addition, data conversion side provided by the present invention
Method（The trip track data that will be drawn based on mobile phone signaling is converted to the data format required for Complex Networks Analysis）Tool
The characteristics of having simple, practical, science and be efficient.
Brief 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 data format schematic diagram required for Complex Networks Analysis；
Fig. 6 is the distribution of grades schematic diagram of base station Betweenness Centrality.
Embodiment
Technical scheme is described in further detail below in conjunction with the accompanying drawings：
Technical scheme proposed by the invention, which is mainly the base station connected according to personal mobile phone, can carry out position switching, and then shape
Into personal track.If base station regarded as a little, the position of mobile phone between the base stations switches the connection between regarding as a little, that
A network will be formed.For this network, after the statistics in certain time is carried out, the analysis to network node just may be used
More objectively to reflect feature of the trip of people in city on some places.Complex Networks Theory is carried out on a large scale very much
The research of complicated contact between node and node, and mobile phone signaling data general data amount is larger, therefore based on complex network
Theory can preferably improve the science of analysis result.Meanwhile, the node that Complex Networks Theory is directed in network has a set of
More perfect evaluation index, wherein, the Betweenness Centrality index of node refers to put and connect by certain in network at this 2 points
The ratio between shortest path radial line sum that shortest path is accounted between this 2 points, has weighed a node as the ability of go-between, also
It is the ability for reflecting transport hub.Therefore, traffic can preferably be carried out by the Betweenness Centrality index in complex network
The evaluation of pivot point.
The method of the present invention is as follows：
Step 1）Referring to accompanying drawing 1, it is necessary first to which cellular base station data in area to be studied are pre-processed.
Step 1.1）Referring to accompanying drawing 2, area to be studied contain identification code be respectively " A ", " B ", " C ", " D ", " E ", " F ",
7 base stations of " G ".Travel through all base stations with exclusive identification code in area to be studied.
Step 1.2）In traversal, the geographical space distance if there is two cellular base station points is less than default threshold value 50
Rice, then merge into a cellular base station point, the locus 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 of E and F is that the distance between two base stations of overlapping, D and G are
20 meters（Less than default threshold value）, therefore E and F base stations retain E base stations, D and G base stations take the location point of centre, and by new base station
It is recorded as H.
Step 1.3）Because F, D, G3 base stations have carried out merging treatment in step 1.2, E is the base station remained, therefore
Need to set up list DY this 3 base stations are merged afterwards with merge before alignment processing so that if subsequent treatment run into F,
During these three base stations of D, G, corresponding base station is wanted after pretreatment can be found.For this example, F, D, G will respectively correspond to E,
H、H。
After the completion of step 1.4, traversal, new station list JZ is formed.For this example, JZ will comprising A, B, C, E,
H5 high ferro website.
Step 2）Referring to accompanying drawing 1, secondly, the track that each mobile phone is switched based on base station location is calculated.
Step 2.1）Obtaining has 5 mobile phones, respectively mobile phone 1, hand in all mobile phone set SJ, this example in area to be studied
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 there occurs
Switching, the then exclusive identification code of base station where recording mobile phone.Wherein, in the exclusive identification code of base station where recording mobile phone, lead to
The inspection to DY is crossed, it is determined that whether required record base station will be recorded as the exclusive identification code of the base station after merging.
Referring to accompanying drawing 3, the track of mobile phone 1 is A-->B-->C, the track of mobile phone 2 is B-->C-->D, the track of mobile phone 3
It is H-->C-->F, the track of mobile phone 4 is H-->C-->H, the track of mobile phone 5 is 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 change over：The track of mobile phone 1 is A-->B-->C, the rail of mobile phone 2
Mark is B-->C-->H, the track of mobile phone 3 is H-->C-->E, the track of mobile phone 4 is H-->C-->H, the track of mobile phone 5 is
E-->H-->C.Track record by all cellular base station position switchings in set SJ is set GJ.
Step 3）Referring to accompanying drawing 1, the relational network between base station is determined further according to user trajectory.
Step 3.1）Travel through the track formed by base station location switching of each mobile phone in set GJ；
Step 3.2）In chronological order, to the base station of arbitrary neighborhood in each mobile phone track, as a record, L, and root are designated as
L uniqueness is determined according to the exclusive identification code and sequencing of two base stations.Referring to accompanying drawing 4, the different note of 6 classes can be collected into
Record, respectively A-->B、B-->C、C-->H、H-->C、C-->E、E-->H.
Step 3.3）Building dictionary list DList is used to store L, wherein, what keyword was recorded is L title in dictionary,
What dictionary intermediate value was recorded is L quantity；
Step 3.4）For the DList generated every time, if in DList do not include this L value, be added in DList, and by its
Quantity is designated as 1.If including this L value in DList, the quantity of L in this DList is added 1.A-->B is 1, B-->C
For 2, C-->H is 2, H-->C is 3, C-->E is 1, E-->H is 1.
Step 4）Referring to accompanying drawing 1, finally, the position of transport hub is calculated based on Complex Networks Theory.
Step 4.1）According to Complex Networks Theory, to station list JZ and DList dictionary list, set up and be based on base station location
The motion track complex network data set of switching, is designated as W；Referring to the data format that accompanying drawing 5 is this example, it is applied to Pajek
Etc. a kind of common data form of Complex Networks Analysis software.
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 accompanying drawing 6, base station B, C Betweenness Centrality are of a 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., method is visualized etc. by grade and be shown important chokepoint.
Above content is to combine specific preferred embodiment further description made for the present invention, it is impossible to assert
The specific implementation of the present invention is confined to these explanations.For general technical staff of the technical field of the invention,
On the premise of not departing from present inventive concept, some simple deductions or replacement can also be made, should all be considered 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, it is characterised in that including
Following steps：
Step 1, the base station to mobile phone in area to be studied are pre-processed；It is specific as follows：
All base stations with exclusive identification code in step 1.1, traversal area to be studied；
Step 1.2, the geographical space distance if there is two base stations are less than default threshold value, then merge into the two base stations
One base station, the locus of the base station after merging takes the centre position of the two base stations；
Step 1.3, the base station after merging with the base station before merging set up into the one-to-one corresponding table DY of exclusive identification code；
After the completion of step 1.4, traversal, new station list JZ is formed；
All mobile phones are based in the track that each mobile phone is switched based on base station location in step 2, acquisition area to be studied, area to be studied
The track record of base station location switching is set GJ；
Obtain each mobile phone specific as follows based on the track that base station location switches：
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, so as to obtain the track that each mobile phone is switched based on base station location；If required note
There is the exclusive identification code of the base station after corresponding merging in the exclusive identification code of the base station of record, then in DY by required record
Base station is recorded as the exclusive identification code of the base station after merging；
Step 3, the relational network between base station determined according to mobile phone track；It is specific as follows：
The track formed by base station location switching of each mobile phone in step 3.1, traversal set GJ；
Two base stations of arbitrary neighborhood in each mobile phone track are used as a record L by step 3.2, in chronological order；
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 designated as 1, if this L is included in DList, by the quantity of L in this DList
Along with 1；
Step 4, the position based on Complex Networks Theory calculating transport hub, it is specific as follows：
Step 4.1, foundation Complex Networks Theory, to station list JZ and dictionary list DList, set up based on base station location switching
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；
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, it is characterised in that in step 1.3, the exclusive identification code that the base station after merging has 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, it is characterised in that according to the exclusive identification code and sequencing of two base stations, determine L uniqueness.
4. a kind of Urban Transport Terminals point evaluation side based on complex network and mobile phone signaling data according to claim 1
Method, it is characterised in that W data format applies to the data format of 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, it is characterised in that dictionary list DLis includes keyword and value, wherein, that keyword is recorded in dictionary list DLis is L
Title, what dictionary list DLis intermediate values were recorded is L quantity.
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| CN110012514A (en) * | 2019-03-29 | 2019-07-12 | 北京锦鸿希电信息技术股份有限公司 | Point-to-train communication optimization method and system |
| CN113449403A (en) * | 2021-06-28 | 2021-09-28 | 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 |