CN108320501A - Public bus network recognition methods based on user mobile phone signaling - Google Patents
Public bus network recognition methods based on user mobile phone signaling Download PDFInfo
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- CN108320501A CN108320501A CN201711393085.4A CN201711393085A CN108320501A CN 108320501 A CN108320501 A CN 108320501A CN 201711393085 A CN201711393085 A CN 201711393085A CN 108320501 A CN108320501 A CN 108320501A
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- G—PHYSICS
- G08—SIGNALLING
- G08G—TRAFFIC CONTROL SYSTEMS
- G08G1/00—Traffic control systems for road vehicles
- G08G1/01—Detecting movement of traffic to be counted or controlled
- G08G1/0104—Measuring and analyzing of parameters relative to traffic conditions
- G08G1/0108—Measuring and analyzing of parameters relative to traffic conditions based on the source of data
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- G—PHYSICS
- G08—SIGNALLING
- G08G—TRAFFIC CONTROL SYSTEMS
- G08G1/00—Traffic control systems for road vehicles
- G08G1/01—Detecting movement of traffic to be counted or controlled
- G08G1/0104—Measuring and analyzing of parameters relative to traffic conditions
- G08G1/0125—Traffic data processing
- G08G1/0133—Traffic data processing for classifying traffic situation
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- G—PHYSICS
- G08—SIGNALLING
- G08G—TRAFFIC CONTROL SYSTEMS
- G08G1/00—Traffic control systems for road vehicles
- G08G1/01—Detecting movement of traffic to be counted or controlled
- G08G1/015—Detecting movement of traffic to be counted or controlled with provision for distinguishing between two or more types of vehicles, e.g. between motor-cars and cycles
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- Traffic Control Systems (AREA)
- Mobile Radio Communication Systems (AREA)
- Telephonic Communication Services (AREA)
Abstract
The present invention relates to the public bus network recognition methods based on user mobile phone signaling, belong to mobile phone signal collecting volume of traffic technical field；The central processing unit obtains platform, real-time traffic processing system, big data analysis system, Real time capable module with mobile phone signaling data and connect；The mobile phone signaling data obtains platform and is connect with real-time traffic processing system；The real-time traffic processing system is connect with big data analysis system；The Real time capable module is connect with real-time traffic processing system, big data analysis system；The mobile phone signaling data obtains platform and is connect with traffic mobile platform；The traffic mobile platform is connect with map API module；By obtaining the data of map and public transport, the trip distance and trip speed of user can also be accurately calculated to judge the information of user's trip using the geometrical relationship of signaling data, user trajectory and public bus network.
Description
Technical field
The present invention relates to the public bus network recognition methods based on user mobile phone signaling, belong to mobile phone signal collecting volume of traffic skill
Art field.
Background technology
With the fast development of information technology, number is come into being from city and smart city, digital city and wisdom city
City promotes the development of the technologies such as mobile Internet, Internet of Things and cloud computing again, and has pushed directly on the formation of traffic big data
With development, new approach is provided for traffic data acquisition methods.Traffic information collection technology based on mobile phone positioning, which has, to be covered
Lid range is wide, sample size is big, real-time property is strong, infrastructure is reinvested less and positioning accuracy can meet traffic information collection
The advantages such as precision, therefore obtained the common concern of domestic and international traffic study mechanism.It is more next in mobile communications network coverage area
Under wider and developing state that mobile phone user's scale is more huge, the traffic information collection technology based on Mobile Location Technology has
Wide application prospect.
User carries mobile phone, and the movement of mobile phone accurately reflects the mechanics of user.By to continuous hand
Machine signaling is analyzed, and the information deficiency that can only obtain particular point in time resident trip can be investigated to avoid word, is grasped comprehensively
The time of User Activity and space characteristics.
The travel modal majority of present analysis user by inquiry with IC card data unite by questionnaire, video monitoring Identification of Images
Meter.But these statistical methods have certain defect, manual research that can only obtain the resident trip information of specific time, Er Qieren
Number is less, can not obtain data for a long time；The accuracy of identification of video monitoring is not high, and there is a possibility that dead angle.Utilize IC
Card statistical data is identified, for more complicated transfer or not outbound round-trip situation can not fine geo-statistic, limitation
It is very big.
Invention content
In view of the defects and deficiencies of the prior art, the present invention intends to provide a kind of public affairs based on user mobile phone signaling
The recognition methods of intersection road can effectively carry out the trip section for belonging to public transport in the go off daily of resident effective by the method
Ground identifies.
To achieve the above object, the technical solution adopted by the present invention is：It includes power module, central processing unit, mobile phone
Signaling data obtains platform, real-time traffic processing system, big data analysis system, Real time capable module, traffic mobile platform, map
API module, user trajectory and traffic route matching module, judgment module；The power module is connect with central processing unit；It is described
Central processing unit obtains platform, real-time traffic processing system, big data analysis system, Real time capable module with mobile phone signaling data and connects
It connects；The mobile phone signaling data obtains platform and is connect with real-time traffic processing system；The real-time traffic processing system and big number
It is connected according to analysis system；The Real time capable module is connect with real-time traffic processing system, big data analysis system；The mobile phone signaling
Data acquisition platform is connect with traffic mobile platform；The traffic mobile platform is connect with map API module；The user trajectory
It is connect with traffic route matching module with traffic mobile platform, map API module；The judgment module and user trajectory and traffic
Line matching module connects.
The public bus network recognition methods based on user mobile phone signaling of the present invention, operating procedure are as follows：
Step 1 divides city using GeoHash grids, can divide X meters of growth, wide Y meters of small grid, to each
Small grid is numbered, if each small grid is denoted as QUOTE , wherein QUOTE For the small net
Line number of the lattice in the S of overlay area, QUOTE For columns of the small grid in the S of overlay area；
Step 2, the traffic route information for obtaining bus, by certain map API, based on certain constituency rule, for every
Public bus network chooses characteristic line of the continuous road of public bus network as this public transport；
Step 3 obtains the signaling switch data that user reports in one day, extracts movement locus point P (1), the P of user
(2) ... ..P (n) and these corresponding grids of point；If the user has the reported data of continuous several times under the same base station,
And total duration is more than the threshold time t of setting, the circle for being R with radius is clustered by strong point of base station, obtains user's trip
Stationary point；According to stationary point, the track of user's trip on the one is split, the QUOTE of orbit segment is obtained ；Based on certain rule, to
The signaling switching track at family optimizes, and obtains more smooth motion track and corresponding tracing point；
Mobile phone signaling position coordinates in the orbit segment of the user are mapped in GeoHash grids by step 4, with the sequence of time
With the effective trip information of coordinate record of grid, and track is optimized；
Step 5 screens track, if having in track it is too short, not within the scope of GeoHash, do not pay attention to；
Step 6 matches the path segment and public bus network of user, if energy successful match, records, be denoted as H；
Step 7, the public bus network for sorting out user's seating, or judge whether user is to take private car；
Step 8, we divided an orbit segment to class according to the route of bus according to previous step, then when calculating this section
Interior average speed, if average speed is more than threshold value, we are considered as user and have necessarily taken bus.
Preferably, user trajectory segment and public bus network matching in the step 6：First the track of user is optimized
Slice, then matched in public bus network if can be added in alternative set H if successful match with the method for geometry.
Preferably, user trajectory is optimized according to the angle of user trajectory section in the step 6, it can be according to even
The cosine value of continuous one section of angle judges whether to be used for deleting Partial Fragment.
Preferably, being matched with public bus network in the segment for calculating user trajectory in the step 6, by the segment of track
With geometrical relationship, threshold speed and the number of transfer of public bus network segment, judge whether user matches with public bus network, and
Transfer relationship.
Preferably, user base station switching track is specially mobile communications network user in communication network in the step 6
In the base station switching sequence that is generated due to location updating.
Mobile phone signaling data will carry out signal acquisition and backup by central processing unit in the present invention.The number of mobile users
It according to will be by mobile data platform processes, and be handled, is matched with possible public bus network.Pass through the mobile phone of mobile subscriber
Signaling and data platform system can fully analyze the motion track of user, whether take motor vehicle, and take whether
Take certain bus.System facilitate administrative department obtain accurately acquire user's trip information, can improve traffic and
Solve the changing condition of traffic
With the above structure, the present invention has the beneficial effect that：Public bus network of the present invention based on user mobile phone signaling is known
Other method, by obtaining the data of map and public transport, using the geometrical relationship of signaling data, user trajectory and public bus network,
Come judge user trip information, can also accurately calculate the trip distance and trip speed of user.
Description of the drawings
In order to more clearly explain the embodiment of the invention or the technical proposal in the existing technology, to embodiment or will show below
There is attached drawing needed in technology description to be briefly described, it should be apparent that, the accompanying drawings in the following description is only this
Some embodiments of invention without having to pay creative labor, may be used also for those of ordinary skill in the art
With obtain other attached drawings according to these attached drawings.
Fig. 1 is the structural framing figure of the present invention；
Fig. 2 is user trajectory and path locus matching figure in the present invention；
Reference sign：
Power module 01, central processing unit 02, mobile phone signaling data obtain platform 03, real-time traffic processing system 04, big data
Analysis system 05, Real time capable module 06, traffic mobile platform 07, map API module 08, user trajectory and traffic route matching module
09, judgment module 10.
Specific implementation mode
The present invention will be further described below with reference to the drawings.
Referring to as depicted in figs. 1 and 2, present embodiment is containing power module 01, central processing unit 02, mobile phone signaling number
According to obtain platform 03, real-time traffic processing system 04, big data analysis system 05, Real time capable module 06, traffic mobile platform 07,
Figure API module 08, user trajectory and traffic route matching module 09, judgment module 10；The power module 01 and central processing
Device 02 connects；The central processing unit 02 obtains platform 03, real-time traffic processing system 04, big data point with mobile phone signaling data
Analysis system 05, Real time capable module 06 connect；The mobile phone signaling data obtains platform 03 and is connect with real-time traffic processing system 04；Institute
Real-time traffic processing system 04 is stated to connect with big data analysis system 05；The Real time capable module 06 and real-time traffic processing system
04, big data analysis system 05 connects；The mobile phone signaling data obtains platform 03 and is connect with traffic mobile platform 07；The friendship
Logical mobile platform 07 is connect with map API module 08；The user trajectory and traffic route matching module 09 and traffic movement are flat
Platform 07, map API module 08 connect；The judgment module 10 is connect with user trajectory with traffic route matching module 09.
The operating procedure of present embodiment is as follows：
Step 1 divides city using GeoHash grids, can divide X meters of growth, wide Y meters of small grid, to each
Small grid is numbered, if each small grid is denoted as QUOTE , wherein QUOTE It is small for this
Line number of the grid in the S of overlay area, QUOTE For columns of the small grid in the S of overlay area.
Step 2, the traffic route information for obtaining bus.It is right based on certain constituency rule by certain map API
In every public bus network, characteristic line of the continuous road of public bus network as this public transport is chosen.
In the selection of feature road segment segment, there is following rule：
（1）Using road junction as cut point, public transport characteristic fragment is cut into multiple road segments, long and straight road regards feelings
Condition is cut；
（2）As needing holding as possible continuous between each road segment of single public transport feature, certain sections are due to too short, no
It is enough the subset gathered as feature section；
（3）Different public bus networks can share certain road segment, but characteristic fragment set needs the specific public transport of unique identification
Circuit.
Mobile phone signaling position coordinates in the orbit segment of the user are mapped in GeoHash grids by step 3, with the time
The effective trip information of the coordinate record of sequence and grid.Also the small grid that the traveling of bus is passed through is travelled according to bus
Journal get off.If the distance that bus travels in some grid is too short, this grid is deleted.
Step 4 obtains the signaling switch data that user reports in one day, extracts movement locus point P (1), the P of user
(2) ... ..P (n) and these corresponding grids of point.If the user has the reported data of continuous several times under the same base station,
And total duration is more than the threshold time t of setting, the circle for being R with radius is clustered by strong point of base station, obtains user's trip
Stationary point.According to stationary point, the track of user's trip on the one is split, the set QUOTE of orbit segment is obtained .Whole section of track is sieved again
Choosing, if track is not unsatisfactory for corresponding index demand in Nanjing City, too short or in this section average speed, does not give
Analyze this section of track.Based on certain optimal way, the signaling switching track of user is optimized, obtains more smooth shifting
Dynamic rail mark and corresponding tracing point.
Optimal way：
Continuous three are chosen for each orbit segment M (i) and reports position, wherein contain handover information twice, therefore can be with
Two switching vectors of production.
QUOTE , QUOTE
The angle information of switching vector is calculated again
Confidence level is done using angle, switching track is optimized, by calculating the angle between continuous tracing point, is had
The angle set QUOTE of sequence If useful
The signaling data at family has back and forth movement on this orbit segment, it can be deduced that certain continuous QUOTE Value exist
Close to 1 or -1, this one piece of data can delete the data in addition to the last one point.After multi-level optimization, so that it may to obtain
More smooth motion track.
Step 5, again with QUOTE For threshold value, if the turning of track is more than this threshold value, in this point by rail
Mark section cutting.Track is cut into the straight set of segments of comparison by this step, for being matched with road segment.
Step 6, for each segment, obtain the grid QUOTE comprising this segment , because signal have it is error, need expand S, pair with each QUOTE , in S
Middle addition QUOTE All grids adjacent up and down, thus expand S.In bus routes, find out
By the public bus network of grid in S, and only take the bus routes part included in S.By segment and public bus network, count one by one
Calculate the matching degree of orbit segment and feature road segment.If segment is less than π/6 with public bus network segment angle and average distance is small
In previously given threshold value (some points can be taken out on bus routes, do vertical line to segment, calculate average distance), then recognize
There is matching relationship for two segments.Record has the public bus network of matching relationship with the segment, is denoted as H, QUOTE , wherein each QUOTE All generations
One public bus network of table, QUOTE Represent in a section with road phase
Matched public bus network is denoted as (0) if the public bus network not matched.
Step 7, using the operation of step 6 after, obtained the segment for the bus that user may take.We according to
Which bus following principle identification user has specifically taken.
A. two public bus networks might have the part of overlapping, can be judged using longest principle, that is, if
The track of user is matched with n public bus network, then chooses the longest public bus network of matching length.In H, QUOTE is first calculated In each element continuously continuously there are maximum times in other set in H,
If terminating to kth item, then just deleting preceding k in H, new H is obtained.Repetition does this operation to H, until H is empty set.
B. if there is longer feature section to occur on matched certain section of bus routes, characteristic curve is temporally calculated
The starting point and terminal that road occurs, we can think that user has taken this public bus network or step during this period
Row.We can also obtain that user which section is not taken pubic transport circuit, if according to the not public bus network for calculating user
Ratio has more, either changes many can regard as of number into and takes private car or walking.
Step 8, we have divided an orbit segment to class according to the route of bus according to previous step, then have calculated this
Average speed in the section time, if average speed is more than threshold value, we are considered as user and have necessarily taken bus
The above, is merely illustrative of the technical solution of the present invention and unrestricted, and those of ordinary skill in the art are to the present invention's
The other modifications or equivalent replacement that technical solution is made as long as it does not depart from the spirit and scope of the technical scheme of the present invention should all
Cover in the scope of the claims of the present invention.
Claims (6)
1. the public bus network recognition methods based on user mobile phone signaling, it is characterised in that：It includes power module, central processing
Device, mobile phone signaling data acquisition platform, real-time traffic processing system, big data analysis system, Real time capable module, traffic movement are flat
Platform, map API module, user trajectory and traffic route matching module, judgment module；The power module connects with central processing unit
It connects；The central processing unit and mobile phone signaling data obtain platform, real-time traffic processing system, big data analysis system, in real time
Module connects；The mobile phone signaling data obtains platform and is connect with real-time traffic processing system；The real-time traffic processing system
It is connect with big data analysis system；The Real time capable module is connect with real-time traffic processing system, big data analysis system；The hand
Machine signaling data obtains platform and is connect with traffic mobile platform；The traffic mobile platform is connect with map API module；The use
Family track is connect with traffic route matching module with traffic mobile platform, map API module；The judgment module and user trajectory
It is connect with traffic route matching module.
2. the public bus network recognition methods according to claim 1 based on user mobile phone signaling, it is characterised in that：Its behaviour
Steps are as follows for work：
Step 1 divides city using GeoHash grids, can divide X meters of growth, wide Y meters of small grid, to each
Small grid is numbered, if each small grid is denoted as G (XiYj), wherein XiFor line number of the small grid in the S of overlay area, Yj
For columns of the small grid in the S of overlay area；
Step 2, the traffic route information for obtaining bus, by certain map API, based on certain constituency rule, for every
Public bus network chooses characteristic line of the continuous road of public bus network as this public transport；
Step 3 obtains the signaling switch data that user reports in one day, extracts movement locus point P (1), the P of user
(2) ... ..P (n) and these corresponding grids of point；If the user has the reported data of continuous several times under the same base station,
And total duration is more than the threshold time t of setting, the circle for being R with radius is clustered by strong point of base station, obtains user's trip
Stationary point；According to stationary point, the track of user's trip on the one is split, M={ M (1), M (2), M (3) ... M of orbit segment is obtained
(k) }；Based on certain rule, the signaling switching track of user is optimized, obtains more smooth motion track and corresponding
Tracing point；
Mobile phone signaling position coordinates in the orbit segment of the user are mapped in GeoHash grids by step 4, with the sequence of time
With the effective trip information of coordinate record of grid, and track is optimized；
Step 5 screens track, if having in track it is too short, not within the scope of GeoHash, do not pay attention to；
Step 6 matches the path segment and public bus network of user, if energy successful match, records, be denoted as H；
Step 7, the public bus network for sorting out user's seating, or judge whether user is to take private car or walking；
Step 8, we divided an orbit segment to class according to the route of bus according to previous step, then when calculating this section
Interior average speed, if average speed is more than threshold value, we are considered as user and have necessarily taken bus.
3. the public bus network recognition methods according to claim 1 based on user mobile phone signaling, it is characterised in that：The step
User trajectory segment and public bus network matching in rapid 6：Slice first optimized to the track of user, then with the method for geometry in public affairs
Intersection road is matched if can be added in alternative set H if successful match.
4. the public bus network recognition methods according to claim 1 based on user mobile phone signaling, it is characterised in that：The step
User trajectory is optimized according to the angle of user trajectory section in rapid 6, can be sentenced according to the cosine value of continuous one section of angle
It is disconnected whether to be used for deleting Partial Fragment.
5. the public bus network recognition methods according to claim 1 based on user mobile phone signaling, it is characterised in that：The step
It matches with public bus network in the segment for calculating user trajectory in rapid 6, is closed by the segment of track and the geometry of public bus network segment
System, threshold speed and number of transfer, judge whether user matches with public bus network, and transfer relationship.
6. the public bus network recognition methods according to claim 1 based on user mobile phone signaling, it is characterised in that：The step
User base station switching track is specially the base that mobile communications network user is generated due to location updating in a communication network in rapid 6
It stands switching sequence.
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| CN109727452A (en) * | 2019-01-08 | 2019-05-07 | 江苏交科能源科技发展有限公司 | Trip proportion accounting method based on mobile phone signaling data |
| CN110021169A (en) * | 2019-05-06 | 2019-07-16 | 南京航空航天大学 | A kind of bus passenger get-off stop estimation method based on mobile phone signaling data and public transport data |
| CN110310477A (en) * | 2019-05-14 | 2019-10-08 | 浙江工业大学之江学院 | Bus passenger flow detection method based on public transport GPS Yu mobile phone signaling data |
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