CN106710208A - Traffic state acquisition method and device - Google Patents

Traffic state acquisition method and device Download PDF

Info

Publication number
CN106710208A
CN106710208A CN201510790751.2A CN201510790751A CN106710208A CN 106710208 A CN106710208 A CN 106710208A CN 201510790751 A CN201510790751 A CN 201510790751A CN 106710208 A CN106710208 A CN 106710208A
Authority
CN
China
Prior art keywords
base station
section
mobile station
monitored
daily record
Prior art date
Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
Pending
Application number
CN201510790751.2A
Other languages
Chinese (zh)
Inventor
王利学
刘君亮
Current Assignee (The listed assignees may be inaccurate. Google has not performed a legal analysis and makes no representation or warranty as to the accuracy of the list.)
ZTE Corp
Original Assignee
ZTE Corp
Priority date (The priority date is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the date listed.)
Filing date
Publication date
Application filed by ZTE Corp filed Critical ZTE Corp
Priority to CN201510790751.2A priority Critical patent/CN106710208A/en
Priority to PCT/CN2016/075255 priority patent/WO2017084221A1/en
Publication of CN106710208A publication Critical patent/CN106710208A/en
Pending legal-status Critical Current

Links

Classifications

    • 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
    • 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
    • G08G1/012—Measuring and analyzing of parameters relative to traffic conditions based on the source of data from other sources than vehicle or roadside beacons, e.g. mobile networks
    • 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
    • G08G1/0129—Traffic data processing for creating historical data or processing based on historical data
    • 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
    • G08G1/052—Detecting movement of traffic to be counted or controlled with provision for determining speed or overspeed

Abstract

The invention provides a traffic state acquisition method and device. The method comprises steps that a locus sequence of a vehicle moving station on a to-be-monitored bus in communication with a base station of a network service provider is acquired from log of the network service provider, and the locus sequence comprises multiple sets of time stamps, vehicle moving station IDs and base station IDs having corresponding relationships; the road segment operation information of each road segment of a driving route of the to-be-monitored bus is acquired according to the locus sequence, and the road operation information comprises multiple sets of time stamps and road segment IDs having corresponding relationships; a driving speed of each road segment of the to-be-monitored bus is acquired according to the road segment operation information. The method is advantaged in that problems of complex operation and high cost in acquiring traffic data in the prior art are solved, and the effect of cost saving is realized.

Description

The acquisition methods and device of traffic behavior
Technical field
The present invention relates to traffic and moving communicating field, in particular to the acquisition methods and device of a kind of traffic behavior.
Background technology
Traffic is one of the important composition key element in city, sustainable development and the rapid increase of vehicle guaranteeding organic quantity with society, Although also in construction with rapid changepl. never-ending changes and improvements, the construction of road still far lags behind actual demand to city road network, cause to hand over Logical congestion turns into a kind of worldwide urban disease.And influence of the traffic problems to city is in all directions, both including handing over Siphunculus reason, railway network planning, and including public resource configuring, also including trip planning, energy-saving and emission-reduction, in a word traffic Problem has become restriction city health, the efficient, key problem of sustainable development.
A key foundation for solving traffic problems is that quantifying for traffic behavior in city scope is portrayed, and is only grasping area On the basis of domain property, the quantitative information of round-the-clock, real-time, highdensity traffic behavior, can be formulated for Urban Operation Scientific and rational Long-term planning, and carry out accurately and efficiently in real time intervention, or even promote transport information more fully, have What is imitated is applied to every field, and then brings wider social effect.
Current collection and analysis to transport information has two main technology paths, one is the trackside based on fixed is adopted Collection equipment carries out traffic data collection and corresponding analysis method；The second is based on mobile model traffic data collection and accordingly Analysis method.
Fixed traffic information collection refers to that magnetic frequency, wave frequency and video sensor by being arranged in crossing and bayonet socket gathered car Information (GB2436909, CN201510162656), including cross car quantity, time, speed, direction, video image Deng then calculating the vehicle flowrate in each section.This method is substantially a kind of method for putting measurement, although for each on the way Can be obtained through the vehicle of measuring point relatively enrich and high-precision measurement information, and then speculate the traffic behavior at measuring point, But have the shortcomings that coverage rate is low, can only be monitored at limited crossing and bayonet socket, therefore it is blind to there is substantial amounts of monitoring Area.Because the kind of sensor that the program is related to is more, data integration is high with technical sophistication degree needed for subsequent analysis；In addition, The number of sensors that the program needs is more, and certain earth work is needed when disposing, and lower deployment cost is very high.
Mobile model traffic data collection refer generally to by the Floating Car that is equipped with the location equipments such as GPS (US7783296, CN200910254490 traffic data) is obtained, the calculating to road state is solved in conjunction with map matching technology. Because employing the data acquisition equipment of movable type, the program solves fixed acquisition scheme and haves the shortcomings that a large amount of blind areas, And by GPS can with the various vehicle operating parameters of precision acquisition higher, including the time, position, speed, Acceleration, direction etc..But the technology that the program is relied on is still more complicated to be connect, it is necessary to dispose GPS in Floating Car Receipts machine, and due to the Some features (easily interference, positioning precision are less than meter level) of GPS positioning system itself so as to car The follow-up processing flow of result is also more complicated, it is necessary to do the treatment such as abnormality detection, track polishing, map match.Make With the program, to obtain high coverage rate in city scope, real-time traffic data, it is necessary to dispose substantial amounts of Floating Car, and Its cost is very high and dependence is strong.
For correlation technique when real time traffic data is obtained, trivial operations, lower deployment cost problem high is not yet sent out at present Existing effective solution.
The content of the invention
The invention provides the acquisition methods and device of a kind of traffic behavior, at least to solve obtaining traffic in correlation technique The problem of complex operation and high cost during data.
According to an aspect of the invention, there is provided a kind of acquisition methods of traffic behavior, including：From Virtual network operator The track sets with the vehicle-mounted mobile platform of the base station communication of the Virtual network operator on bus to be monitored are obtained in daily record, Wherein, the track sets include：Multigroup timestamp with corresponding relation, vehicle-mounted mobile platform ID and base station IDs；Root The section operation information in each section on the travel route of the bus to be monitored is obtained according to the track sets, wherein, The section operation information includes multigroup timestamp with corresponding relation and road section ID；Run according to the section and believed Breath obtains travel speed of the bus to be monitored on described each section.
Further, row of the bus to be monitored on described each section is obtained according to the section operation information Sailing speed includes：The corresponding multiple timestamps of the road section ID according to identical obtain the bus to be monitored in institute State the holdup time T on the section indicated by road section ID；The bus to be monitored is calculated by below equation Travel speed V on the section indicated by the road section ID：V=D/T, wherein, D be in advance get it is described The length in the section indicated by road section ID.
Further, on bus to be monitored is obtained from the daily record of Virtual network operator with the base of the Virtual network operator Stand communication vehicle-mounted mobile platform track sets before, including：Non- hand held mobile station sequence is determined from the daily record, Wherein, the non-hand held mobile station sequence includes multigroup timestamp with corresponding relation, mobile station ID and base station IDs； Recorded in the daily record according to the non-hand held mobile station retrieval with the base station communication of the Virtual network operator The running orbit of non-hand held mobile station；Registration between the running orbit and predetermined bus running circuit is more than The non-hand held mobile station of predetermined threshold is defined as vehicle-mounted mobile platform.
Further, on bus to be monitored is obtained from the daily record of Virtual network operator with the base of the Virtual network operator Stand communication vehicle-mounted mobile platform track sets before, including：According to the road information in area to be monitored, driving line Road information, base station distribution information set up traffic route distribution map, and by the lane segmentation in the area to be monitored into Or multiple sections；Set up each section in the area to be monitored and to the mapping of the base station, that is, set up the area to be monitored In domain each section to the base station probabilistic model, including：Set up the transition probability model in each section, set up described Observation probability model of the base station to each section；Obtain the daily record of the Virtual network operator in the area to be monitored.
Further, road information, travel route information, the foundation of base station distribution information according in area to be monitored Traffic route distribution map, and the lane segmentation in the area to be monitored is included into one or more sections：Obtain and wait to supervise Base station, vehicle line, the latitude and longitude information of road in control region；With the base station as distributed point, the vehicle line, Road is distributing line, and the radiation scope of the base station sets up traffic route distribution map for distribution is round；It is described distribution circle with it is described The distributing line is divided into multiple sections by the intersection of the intersection point of distributing line and the vehicle line for cut-point.
Further, the mapping for setting up each section to the base station in the area to be monitored includes：From the friendship Logical circuit distribution map determines the base station IDs of the base station in radiation each section；Set up according to the track of vehicle line each The mapping of the multiple base stations connected respectively on individual section.
Further, the mapping for setting up the multiple base stations connected respectively on each section according to the track of vehicle line Including：Set up the vehicle-mounted mobile platform ID with according to the up track of vehicle line be connected respectively on each section it is many The first corresponding relation between the base station IDs of individual base station, and/or, set up the vehicle-mounted mobile platform ID and according to driving line The second corresponding relation between the base station IDs of multiple base stations that the descending track on road connects respectively on each section.
Further, it is described to determine that non-hand held mobile station sequence includes from the daily record：Judge to be remembered in the daily record The base being averagely connected in the first daily predetermined amount of time with the mobile station of the base station communication of the Virtual network operator of record The quantity stood whether be more than the first predetermined threshold value, and/or, judge recorded in the daily record with the Virtual network operator Base station communication mobile station average switching base station in the second daily predetermined amount of time number of times it is whether pre- more than second If threshold value；When judged result is to be, the mobile station is determined for non-hand held mobile station, and institute is obtained from the daily record State the non-hand held mobile station sequence of non-hand held mobile station.
Further, it is described to determine that non-hand held mobile station sequence includes from the daily record：Judge to be remembered in the daily record That records stays in the 3rd daily predetermined amount of time with the mobile station of the base station communication of the Virtual network operator in parking lot Whether the average time stayed is more than the 3rd predetermined threshold value, and/or, judge being transported with the network recorded in the daily record Whether the average time that the mobile station of the base station communication of battalion business is resident in the 4th daily predetermined amount of time in parking lot More than the 4th predetermined threshold value, and/or, judge recorded in the daily record with the base station communication of the Virtual network operator Whether the time point that mobile station is resident in parking lot is in the 5th predetermined amount of time；When judged result is to be, institute is determined Mobile station is stated for non-hand held mobile station, and the non-hand held mobile station sequence of the non-hand held mobile station is obtained from the daily record.
According to another aspect of the present invention, there is provided a kind of acquisition device of traffic behavior, including：First acquisition module, For obtaining the car on bus to be monitored with the base station communication of the Virtual network operator from the daily record of Virtual network operator The track sets of mobile station are carried, wherein, the track sets include：Multigroup timestamp with corresponding relation, vehicle-mounted shifting Dynamic platform ID and base station IDs；Second acquisition module, for obtaining the bus to be monitored according to the track sets The section operation information in each section on travel route, wherein, the section operation information includes multigroup with correspondence pass The timestamp and road section ID of system；3rd acquisition module, for obtaining described to be monitored according to the section operation information Travel speed of the bus on described each section.
Further, the 3rd acquisition module includes：First acquisition unit, for the road section ID according to identical Corresponding multiple timestamps obtain holdup time of the bus to be monitored on the section indicated by the road section ID T；Computing unit, for being calculated the bus to be monitored indicated by the road section ID by below equation Travel speed V on section：V=D/T, wherein, D is the section indicated by the road section ID for getting in advance Length.
Further, described device also includes：First determining module, for being obtained from the daily record of Virtual network operator On bus to be monitored with the track sets of the vehicle-mounted mobile platform of the base station communication of the Virtual network operator before, from described Non- hand held mobile station sequence is determined in daily record, wherein, the non-hand held mobile station sequence includes multigroup with corresponding relation Timestamp, mobile station ID and base station IDs；4th acquisition module, for according to the non-hand held mobile station retrieval The running orbit of the non-hand held mobile station with the base station communication of the Virtual network operator recorded in the daily record；Second is true Cover half block, for the registration between the running orbit and predetermined bus running circuit is non-more than predetermined threshold Hand held mobile station is defined as vehicle-mounted mobile platform.
Further, described device also includes：First sets up module, for treating being obtained from the daily record of Virtual network operator On the bus of monitoring with the track sets of the vehicle-mounted mobile platform of the base station communication of the Virtual network operator before, according to waiting to supervise Road information, travel route information in control region, base station distribution information are set up traffic route distribution map, and are treated described Lane segmentation in monitor area is into one or more sections；Second sets up module, for setting up in the area to be monitored Each section in the area to be monitored to the probabilistic model of the base station is set up to the mapping of the base station in each section, Including：Set up the transition probability model in each section, set up the base station to the observation probability model in each section； 5th acquisition module, the daily record for obtaining the Virtual network operator in the area to be monitored.
Further, described first set up module and include：Second acquisition unit, for obtain the base station in area to be monitored, The latitude and longitude information of vehicle line, road；First sets up unit, for the base station as distributed point, the driving line Road, road are distributing line, and the radiation scope of the base station sets up traffic route distribution map for distribution is round；Cutting unit, uses In with the distribution circle and the intersection point of the distributing line and the intersection of the vehicle line be cut-point by the distribution Line is divided into multiple sections.
Further, described second set up module and include：First determining unit, for true from the traffic route distribution map The base station IDs of the base station in fixed radiation each section；Second sets up unit, for setting up according to the track of vehicle line The mapping of the multiple base stations connected respectively on each section.
Further, described second set up unit and also include：First sets up subelement, for setting up the vehicle-mounted mobile platform ID and according to first between the base station IDs of multiple base stations that are connected respectively on each section of up track of vehicle line Corresponding relation；And/or, second sets up subelement, for set up the vehicle-mounted mobile platform ID with according under vehicle line The second corresponding relation between the base station IDs of multiple base stations that row track connects respectively on each section.
Further, first determining module includes：First judging unit, for judging recorded in the daily record The base station being averagely connected in the first daily predetermined amount of time with the mobile station of the base station communication of the Virtual network operator Whether quantity is more than the first predetermined threshold value；And/or, the second judging unit, for judge recorded in the daily record with The number of times of the mobile station of the base station communication of the Virtual network operator average switching base station in the second daily predetermined amount of time Whether the second predetermined threshold value is more than；Second determining unit, for when judged result is to be, determining that the mobile station is non- Hand held mobile station, and the non-hand held mobile station sequence of the non-hand held mobile station is obtained from the daily record.
Further, first determining module includes：3rd judging unit, for judging recorded in the daily record It is resident in parking lot in the 3rd daily predetermined amount of time with the mobile station of the base station communication of the Virtual network operator Whether average time is more than the 3rd predetermined threshold value, and/or, the 4th judging unit, for judging recorded in the daily record Be resident in parking lot in the 4th daily predetermined amount of time with the mobile station of the base station communication of the Virtual network operator Average time whether be more than the 4th predetermined threshold value, and/or, the 5th judging unit, for judging to be remembered in the daily record Whether the time point being resident in parking lot with the mobile station of the base station communication of the Virtual network operator of record is predetermined the 5th In time period；3rd determining unit, for when judged result is to be, determining the mobile station for non-hand held mobile station, And the non-hand held mobile station sequence of the non-hand held mobile station is obtained from the daily record.
By the present invention, using obtain from the daily record of Virtual network operator on bus to be monitored with the Virtual network operator Base station communication vehicle-mounted mobile platform track sets, wherein, the track sets include：It is multigroup with corresponding relation Timestamp, vehicle-mounted mobile platform ID and base station IDs；The traveling of the bus to be monitored is obtained according to the track sets The section operation information in each section on route, wherein, the section operation information includes multigroup with corresponding relation Timestamp and road section ID；According to the section operation information acquisition bus to be monitored on described each section Travel speed, by directly obtaining traffic data using existing base station data and public bus network data, solve phase In the technology of pass when traffic data is obtained complex operation and high cost problem, and then reached cost-effective effect.
Brief description of the drawings
Accompanying drawing described herein is used for providing a further understanding of the present invention, constitutes the part of the application, the present invention Schematic description and description be used for explain the present invention, do not constitute inappropriate limitation of the present invention.In the accompanying drawings：
Fig. 1 is the flow chart of the acquisition methods of traffic behavior according to embodiments of the present invention；
Fig. 2 is the structured flowchart of the acquisition device of traffic behavior according to embodiments of the present invention；
Fig. 3 is the alternative construction block diagram one of the acquisition device of traffic behavior according to embodiments of the present invention；
Fig. 4 is the alternative construction block diagram two of the acquisition device of traffic behavior according to embodiments of the present invention；
Fig. 5 is the alternative construction block diagram three of the acquisition device of traffic behavior according to embodiments of the present invention；
Fig. 6 is the alternative construction block diagram four of the acquisition device of traffic behavior according to embodiments of the present invention；
Fig. 7 is the alternative construction block diagram five of the acquisition device of traffic behavior according to embodiments of the present invention；
Fig. 8 is the alternative construction block diagram six of the acquisition device of traffic behavior according to embodiments of the present invention；
Fig. 9 is the alternative construction block diagram seven of the acquisition device of traffic behavior according to embodiments of the present invention；
Figure 10 is according to the identification of the bus of alternative embodiment of the present invention and modeling procedure figure；
Figure 11 is the track identification and model solution flow chart according to alternative embodiment of the present invention.
Specific embodiment
Describe the present invention in detail below with reference to accompanying drawing and in conjunction with the embodiments.It should be noted that in the feelings not conflicted Under condition, the feature in embodiment and embodiment in the application can be mutually combined.
It should be noted that term " first ", " second " in description and claims of this specification and above-mentioned accompanying drawing Etc. being for distinguishing similar object, without for describing specific order or precedence.
A kind of acquisition methods of traffic behavior are provided in the present embodiment, and Fig. 1 is traffic shape according to embodiments of the present invention The flow chart of the acquisition methods of state, as shown in figure 1, the flow comprises the following steps：
Step S102, the base station on bus to be monitored with Virtual network operator is obtained from the daily record of Virtual network operator and is led to The track sets of the vehicle-mounted mobile platform of letter, wherein, track sets include：It is multigroup timestamp with corresponding relation, vehicle-mounted Mobile station ID and base station IDs；
Step S104, the section operation in each section on the travel route of bus to be monitored is obtained according to track sets Information, wherein, section operation information includes multigroup timestamp with corresponding relation and road section ID；
Step S106, the travel speed of bus to be monitored on each section is obtained according to section operation information.
By the present embodiment, using obtain from the daily record of Virtual network operator on bus to be monitored with Virtual network operator The track sets of the vehicle-mounted mobile platform of base station communication, wherein, track sets include：Multigroup timestamp with corresponding relation, Vehicle-mounted mobile platform ID and base station IDs；Each section on the travel route of bus to be monitored is obtained according to track sets Section operation information, wherein, section operation information includes multigroup timestamp with corresponding relation and road section ID；Root The travel speed of bus to be monitored on each section is obtained according to section operation information, by directly utilizing existing base Data of standing and public bus network data obtain traffic data, solve in correlation technique the complex operation when obtaining traffic data And the problem of high cost, and then reached cost-effective effect.
In the optional embodiment according to the present embodiment, bus to be monitored is obtained at each according to section operation information Travel speed on section includes：
S11, according to indicated by the corresponding multiple timestamps acquisitions of identical road section ID bus to be monitored in road section ID Section on holdup time T；
S12, the travel speed of bus to be monitored on the section indicated by road section ID is calculated by below equation V：V=D/T, wherein, D is the length in the section indicated by the road section ID for getting in advance.
In the optional embodiment according to the present embodiment, bus to be monitored is being obtained from the daily record of Virtual network operator Before the track sets of the vehicle-mounted mobile platform of the base station communication of upper and Virtual network operator, can also be by the communication day in base station The identification of will record and determination vehicle-mounted mobile platform, specifically include：
S21, determines non-hand held mobile station sequence from daily record, wherein, non-hand held mobile station sequence has including multigroup The timestamp of corresponding relation, mobile station ID and base station IDs；
S22, the non-hand of the base station communication with Virtual network operator according to recorded in non-hand held mobile station retrieval daily record Hold the running orbit of mobile station；
S23, the non-hand-held shifting by the registration between running orbit and predetermined bus running circuit more than predetermined threshold Dynamic platform is defined as vehicle-mounted mobile platform.
In the optional embodiment according to the present embodiment, bus to be monitored is being obtained from the daily record of Virtual network operator Before the track sets of the vehicle-mounted mobile platform of the base station communication of upper and Virtual network operator, each section to base station can also be set up Mapping relations, set up the probabilistic model in section, specifically include：
S31, traffic route is set up according to the road information in area to be monitored, travel route information, base station distribution information Distribution map, and by the lane segmentation in area to be monitored into one or more sections；
S32, sets up mapping of each section to base station in area to be monitored；Optionally, set up in the present embodiment and wait to supervise Probability of each section to the base station in the area to be monitored is set up in each section to the mapping of base station in control region Model, including：Set up the transition probability model in each section, set up the base station to the observation probability in each section Model.
S33, obtains the daily record of Virtual network operator in area to be monitored.
Optionally, according to above-mentioned implementation method, according to the road information in area to be monitored, travel route information, base station Traffic route distribution map is set up in distributed intelligence, and the lane segmentation in area to be monitored is included into one or more sections：
S41, obtains base station, vehicle line, the latitude and longitude information of road in area to be monitored；
S42, with base station as distributed point, vehicle line, road are distributing line, and the radiation of base station sets up traffic for distribution is round Circuit distribution map；
S43, be distributed circle and the intersection of the intersection point of distributing line and vehicle line distributing line is divided into as cut-point it is many Individual section.
In the present embodiment, the intersection of vehicle line includes：The traffic roads such as cross traffic intersection, T-shaped traffic intersection Mouthful.
Optionally, the mapping for setting up each section to base station in area to be monitored includes：
S51, determines to radiate the base station IDs of the base station in each section from traffic route distribution map；
S52, the mapping of multiple base stations that foundation is connected respectively according to the track of vehicle line on each section, wherein, The base station being communicatively coupled on adjacent segments is different.
Optionally, multiple base stations that foundation is connected respectively according to the track of vehicle line on each section are being implemented During mapping, mapping is set up respectively according to the up track and descending track of bus, including：Set up vehicle-mounted mobile platform ID With the first couple between the base station IDs of the multiple base stations being connected respectively on each section according to the up track of vehicle line Should be related to, set up vehicle-mounted mobile platform ID with the multiple being connected respectively on each section according to the descending track of vehicle line The second corresponding relation between the base station IDs of base station.
In the optional embodiment according to the present embodiment, determine that non-hand held mobile station sequence can including two kinds from daily record The mode of choosing, wherein,
Mode one includes：Judge the mobile station of the base station communication with Virtual network operator recorded in daily record daily first Whether the quantity of the base station of average connection is more than the first predetermined threshold value in predetermined amount of time, judge recorded in daily record with net Whether the number of times of the mobile station of the base station communication of network operator average switching base station in the second daily predetermined amount of time is big In the second predetermined threshold value, judge whether the base station of the Virtual network operator with mobile communications recorded in daily record belongs to first Default set, when judged result is to be, determines mobile station for non-hand held mobile station, and non-hand-held shifting is obtained from daily record The non-hand held mobile station sequence of dynamic platform.
Mode two includes：Judge the mobile station of the base station communication with Virtual network operator recorded in daily record the daily the 3rd Whether the average time being resident in parking lot in predetermined amount of time is more than the 3rd predetermined threshold value, judges recorded in daily record It is average with what the mobile station of the base station communication of Virtual network operator was resident in the 4th daily predetermined amount of time in parking lot Whether number of times is more than the 4th predetermined threshold value, judges that the mobile station of the base station communication with Virtual network operator recorded in daily record exists Whether the time point being resident in parking lot is in the 5th predetermined amount of time；When judged result is to be, determine that mobile station is non- Hand held mobile station, and the non-hand held mobile station sequence of non-hand held mobile station is obtained from daily record.
Through the above description of the embodiments, those skilled in the art can be understood that according to above-described embodiment Method can add the mode of required general hardware platform by software to realize, naturally it is also possible to by hardware, but a lot In the case of the former be more preferably implementation method.Based on such understanding, technical scheme is substantially in other words to existing The part for having technology to contribute can be embodied in the form of software product, and the computer software product is stored at one In storage medium (such as ROM/RAM, magnetic disc, CD), including some instructions are used to so that a station terminal equipment (can Being mobile phone, computer, server, or network equipment etc.) method that performs each embodiment of the invention.
Additionally provide a kind of acquisition device of traffic behavior in the present embodiment, the device is used to realizing above-described embodiment and excellent Implementation method is selected, repeating no more for explanation had been carried out.As used below, term " module " can be realized pre- Determine the combination of the software and/or hardware of function.Although the device described by following examples is preferably realized with software, But hardware, or the realization of the combination of software and hardware is also that may and be contemplated.
Fig. 2 is the structured flowchart of the acquisition device of traffic behavior according to embodiments of the present invention, as shown in Fig. 2 the device Including：First acquisition module 20, the second acquisition module 22, the 3rd acquisition module 24, wherein,
First acquisition module 20, for obtained from the daily record of Virtual network operator on bus to be monitored with Virtual network operator Base station communication vehicle-mounted mobile platform track sets, wherein, track sets include：Multigroup time with corresponding relation Stamp, vehicle-mounted mobile platform ID and base station IDs；
Second acquisition module 22, for each section on the travel route that bus to be monitored is obtained according to track sets Section operation information, wherein, section operation information includes multigroup timestamp with corresponding relation and road section ID；
3rd acquisition module 24, for obtaining the traveling of bus to be monitored on each section according to section operation information Speed.
Fig. 3 is the alternative construction block diagram one of the acquisition device of traffic behavior according to embodiments of the present invention, as shown in figure 3, In addition to including all modules shown in Fig. 2, the 3rd acquisition module 24 also includes the device：
First acquisition unit 30, for obtaining bus to be monitored according to the corresponding multiple timestamps of identical road section ID Holdup time T on the section indicated by road section ID；
Computing unit 32, for being calculated bus to be monitored in the section indicated by road section ID by below equation On travel speed V：V=D/T, wherein, D is the length in the section indicated by the road section ID for getting in advance.
Fig. 4 is the alternative construction block diagram two of the acquisition device of traffic behavior according to embodiments of the present invention, as shown in figure 4, In addition to including all modules shown in Fig. 2, device also includes the device：First determining module 40, the 4th acquisition module 42nd, the second determining module 44, wherein,
First determining module 40, on bus to be monitored is obtained from the daily record of Virtual network operator with network operation Before the track sets of the vehicle-mounted mobile platform of the base station communication of business, non-hand held mobile station sequence is determined from daily record, wherein, Non- hand held mobile station sequence includes multigroup timestamp with corresponding relation, mobile station ID and base station IDs；
4th acquisition module 42, for according to recorded in the non-hand held mobile station retrieval daily record with Virtual network operator The running orbit of the non-hand held mobile station of base station communication；
Second determining module 44, it is predetermined for the registration between running orbit and predetermined bus running circuit to be more than The non-hand held mobile station of threshold value is defined as vehicle-mounted mobile platform.
Fig. 5 is the alternative construction block diagram three of the acquisition device of traffic behavior according to embodiments of the present invention, as shown in figure 5, In addition to including all modules shown in Fig. 2, device also includes the device：First sets up module 50, second sets up module 52nd, the 5th acquisition module 54, wherein,
First sets up module 50, on bus to be monitored is obtained from the daily record of Virtual network operator with network operation Before the track sets of the vehicle-mounted mobile platform of the base station communication of business, according to the road information in area to be monitored, vehicle line Information, base station distribution information set up traffic route distribution map, and by the lane segmentation in area to be monitored into one or more Section；
Second sets up module 52, for setting up mapping of each section to base station in area to be monitored；
5th acquisition module 54, the daily record for obtaining Virtual network operator in area to be monitored.
Fig. 6 is the alternative construction block diagram four of the acquisition device of traffic behavior according to embodiments of the present invention, as shown in fig. 6, In addition to including all modules shown in Fig. 5, first sets up module 50 includes the device：Second acquisition unit 60, first Unit 62, cutting unit 64 are set up, wherein,
Second acquisition unit 60, the latitude and longitude information for obtaining the base station in area to be monitored, vehicle line, road；
First sets up unit 62, and for base station as distributed point, vehicle line, road to be distributing line, the radiation of base station is Distribution circle sets up traffic route distribution map；
Cutting unit 64, for that will be distributed as cut-point with the intersection point of distributing line and the intersection of vehicle line with being distributed circle Line is divided into multiple sections.
Fig. 7 is the alternative construction block diagram five of the acquisition device of traffic behavior according to embodiments of the present invention, as shown in fig. 7, In addition to including all modules shown in Fig. 5, second sets up module 52 includes the device：First determining unit 70, second Unit 72 is set up, wherein,
First determining unit 70, the base station IDs of the base station for determining each section of radiation from traffic route distribution map；
Second sets up unit 72, multiple base stations that the track for setting up according to vehicle line connects respectively on each section Mapping, wherein, the base station that is communicatively coupled on adjacent segments is different.
Optionally, second set up unit 72 and also include：First sets up subelement, for set up vehicle-mounted mobile platform ID with by The first correspondence between the base station IDs of the multiple base stations connected respectively on each section according to the up track of vehicle line is closed System；Second sets up subelement, for setting up vehicle-mounted mobile platform ID and according to the descending track of vehicle line in each section The second corresponding relation between the base station IDs of the upper multiple base stations for connecting respectively.
Fig. 8 is the alternative construction block diagram six of the acquisition device of traffic behavior according to embodiments of the present invention, as shown in figure 8, In addition to including all modules shown in Fig. 4, the first determining module 40 includes the device：First judging unit 80, second Judging unit 82, the second determining unit 84, wherein,
First judging unit 80, for judging the mobile station of the base station communication with Virtual network operator recorded in daily record every Whether the quantity of the base station of average connection is more than the first predetermined threshold value in it the first predetermined amount of time；
Second judging unit 82, for judging the mobile station of the base station communication with Virtual network operator recorded in daily record every Whether the number of times of average switching base station is more than the second predetermined threshold value in it the second predetermined amount of time；
Second determining unit 84, for when judged result is to be, determining mobile station for non-hand held mobile station, and from daily record The middle non-hand held mobile station sequence for obtaining non-hand held mobile station.Optionally, can sentence in the first judging unit 80 and second The judged result of disconnected unit 82 be simultaneously no, or one of them for it is no when, determine mobile station for non-hand held mobile station.
Fig. 9 is the alternative construction block diagram seven of the acquisition device of traffic behavior according to embodiments of the present invention, as shown in figure 9, In addition to including all modules shown in Fig. 4, the first determining module 40 includes the device：3rd judging unit the 90, the 4th Judging unit 92, the 5th judging unit 94, the 3rd determining unit 96, wherein,
3rd judging unit 90, for judging the mobile station of the base station communication with Virtual network operator recorded in daily record every Whether the average time being resident in parking lot in it the 3rd predetermined amount of time is more than the 3rd predetermined threshold value；
4th judging unit 92, for judging the mobile station of the base station communication with Virtual network operator recorded in daily record every Whether the average time being resident in parking lot in it the 4th predetermined amount of time is more than the 4th predetermined threshold value；
5th judging unit 94, the mobile station for judging the base station communication with Virtual network operator recorded in daily record is being stopped Whether the time point being resident in parking lot is in the 5th predetermined amount of time；
3rd determining unit 96, for when judged result is to be, determining mobile station for non-hand held mobile station, and from daily record The middle non-hand held mobile station sequence for obtaining non-hand held mobile station.Optionally, can judge in the 3rd judging unit the 90, the 4th The judged result of the unit 92, at least one of which of the 5th judging unit 94 or whole is non-when being, to determine mobile station Hand held mobile station.
With reference to carrying out detailed specific description to the present invention according to an alternative embodiment of the invention：
This alternative embodiment is observed the public bus network predicted and in latitude and longitude of base station location knowledge, and preset time window Change in location sequence data of the bus in base station space carry out information fusion, to improve the precision of architecture and then estimate Meter bus further calculates passage rate of the vehicle in respective stretch in the section residing for the corresponding time period.
The method of this alternative embodiment includes following two stages：
Stage 1, bus identification and modelling phase：This stage is a processed offline stage, and periodic operation is main complete Into three aspect work：1. the pre-known informations such as public bus network, base station location are safeguarded；2. the probability for hidden state estimation is set up Model；3. public transport vehicle-mounted mobile station/group is recognized.
Stage 2, track identification and model solution stage：This stage is an online processing stage, is identified in real time every The bus currently public bus network of operation and up-downgoing state, and the probabilistic model set up using the modelling phase is in observation number According to reasoning in sequence basis, the section where estimating vehicle day part, and further binding time and road section length calculate each The passage rate in section.
Optionally, the bus identification in stage 1 includes with modeling：
The first step：Latitude and longitude of base station, public bus network, road information typing.
Second step：Set up latitude and longitude of base station, public bus network, road distribution relation figure.By road, public bus network with line Mode, base station is plotted in same two-dimensional space in the way of putting, while with each base station as the center of circle, with R (assuming that The base station covering radius configured in base station controller is r, then R=2*r herein) for radius draws base in the two-dimensional space The coverage figure stood.In actual use, the covering radius of base station controller configuration can all be less than the reality of base station for r Coverage, the radius R of actual covering is the twice for configuring radius, R=2*r.
3rd step：Section separates.With in step one the round institute intersected with the line for representing public bus network is painted around base station a little It is separation (in addition separation also include various crossings), road is separated into section one by one, calculates each section long Spend and for road section ID is distributed in each section.
4th step：Set up two-layer probabilistic model.Probabilistic model is built to every up and down line of public bus network, mainly Determine hidden state, transfer matrix and observing matrix.Model with the section that step 3 is separated be hidden state, it is public transport vehicle-mounted The base station of mobile station connection is observer state.Model observation probability is directly proportional to section to base station distance, and is normalized Treatment, it is ensured that the probability of hidden state observation to each observer state and be 1.Transition probability is closed with the length in section with up-downgoing It is relevant, the possible goal displacement state B of hidden state A can only facing in current driving direction (up, descending) Near front, hidden state A is 0 to the transition probability of its rear state or far ahead state；Hidden state A is to its front The transition probability for closing on state is not zero, and hidden state A is relevant to the transfering state of its own road section length corresponding with A, Hidden state transition probability need to be normalized, it is ensured that itself and be 1.This stage is needed for all circuits are corresponding up Circuit and downgoing line set up corresponding probabilistic model respectively.
5th step：Recognize public transport vehicle-mounted mobile station/group.From mobile operator tickets, online, cell switching, position more Each mobile station behavior and mobility data are extracted in the daily record such as new, according to Humanity behavior properties and daily in movement The average duration of state, daily mean base station number of handovers, daily track multiplicity, track and public bus network multiplicity The mobility indexes such as the factor, filter out public transport vehicle-mounted mobile station.And with a height of principle of space-time multiplicity, from this batch of public transport Identify which mobile station is deployed on same bus in vehicle-mounted mobile station, i.e. mobile station group.
Optionally, the track identification in stage 2 includes with model solution：
The first step：Extract bus up-downgoing track.Same public transport vehicle-mounted mobile station is extracted from mobile operator daily records Track sets, track is separated according to the collection of base stations and vehicle movement status near the starting station and terminus, root Up-downgoing state is recognized according to traffic direction.Separate by bus up-downgoing track and up-downgoing state recognition, can extract The movement locus sequence of service state, including circuit ID, up-downgoing state and track sets are in each car.
Second step：Estimate hidden status switch.According to step one up and down line trajectory extraction result, from " modelling phase " The model of the corresponding up-downgoing state of respective lines is taken out in the model set that stage sets up, observation sequence input model is estimated Meter not section where vehicle in the same time.
3rd step：Calculate each section passage rate.For the track sets of each vehicle, according to each road section length and it is in Time interval in the section, can directly calculate the section passage rate, while using smothing filtering between adjacent segments Improve estimated accuracy.
By this alternative embodiment, overcome region overlay face deficiency present in correlation technique, technical sophistication, be deployed to This height, it is difficult to obtain the problem and defect of road traffic state in regional extent in real time, reduce deployment difficulty, save Lower deployment cost, improves areal coverage, can reach the effect of real-time detection.
It should be noted that the present embodiment is not if illustrated, cell, base station, antenna for base station refer both to antenna for base station.
Implementation to embodiment below in conjunction with the accompanying drawings is described in further detail, and Figure 10 is according to optional implementation of the invention Bus identification and the modeling procedure figure of example, as shown in Figure 10, including：
S201, latitude and longitude of base station, public bus network, road information typing
Need to believe latitude and longitude of base station, base station covering radius, public transport line and its each website longitude and latitude, urban road longitude and latitude Breath input system.
S202, set up urban road, public bus network and base station distribution figure
By base station, bus station, road cross in the way of putting, in the way of line, base station influences model for public transport line, road Enclose and drawn in one plane in the way of circle (radius is as R).
S203, section separate
The intersection point of all of circle and public transport line in extraction step two, and all of road cross point, collectively form cut-point Set, is separated with these points to public transport line, obtains a series of linear compartmenteds -- section, and to each circuit In each section order (according to up direction) be numbered, distribute unique road section ID, obtain<Circuit ID, List (road section ID)>Two tuple-sets.The road section length in each section is calculated simultaneously.
S204, set up two-layer probabilistic model
Need to build two models for every public bus network：Up model and descending model.
In the way of the present embodiment only illustrates model construction as a example by building a probabilistic model for uplink, downgoing line mould The structure principle of type is identical, will not be repeated here.
Transition probability matrix is the matrix that source state (hidden state) is constituted to the transition probability of dbjective state (hidden state), Original state abscissa is represented with ordinate and represents dbjective state, state according to before and after up-downgoing after relation from top to bottom, From left to right.An element non-zero above transfer matrix diagonal entry and diagonal, other all matrix elements are all zero, It is a typical sparse matrix.Matrix element (i, j) represents the last observation of vehicle in hidden state i corresponding road sections, next Secondary observation is transferred to the Probability p (i, j) in hidden state j corresponding road sections.If the length of section i is li, the circuit averagely transports Scanning frequency degree V and observed samples are at intervals of T, and p (i, j) value is as follows：
Observation probability matrix is that vehicle is in the case of the corresponding sections of hidden state i, can observe that observer state j is corresponding Base station Probability poThe matrix that (i, j) is constituted, its ordinate definition is defined with transfer matrix ordinate, and abscissa is each Observer state (base station).If dijIt is section i to the average distance of base station j, po(i, j) value is as follows：
Wherein ∝ represents proportional relation, it is necessary to be normalized to every row element of observing matrix.
Optionally, improved Construction of A Model mode can also be used, by the actual drive test data of Floating Car and calculated value phase With reference to, construction transition probability matrix and observation probability matrix, including following two examples：
Example one, the actual drive test data of Floating Car is combined with calculated value.Calculated using above-mentioned theory computational methods The transition probability matrix for obtaining does not account for the different busy extent in each section and time difference.Based on the law of large numbers, make Carrying out calibration to calculated value with substantial amounts of Floating Car drive test data turns into a kind of preferably selection.Specific practice is to carry out Random sampling, random one Floating Car in mobile status of selection is recorded, and calculating is presently according to calculation of longitude ＆ latitude Section i, and using present speed and using section j residing for interval (S301 parts as described below) extrapolation next step.Weight Substantial amounts of this sampling is carried out again, statistics section i is transferred to the number of times of section j, construct hidden state transfer numbers matrix, Then the transition probability matrix for being counted on by row normalization to transfer numbers matrix, by the transition probability square of theoretical calculation Battle array and transition probability matrix certain ranking operation of the carrying out of element one by one of drive test statistics, such as average, then by gained Matrix is normalized by row again, that is, the observation probability matrix after being corrected.
Example two, the actual drive test data of Floating Car is combined with calculated value.By various factors such as landform, buildings Influence, the actual coverage of base station is more complicated, and each section observes that the probability of corresponding base station is difficult to carry out accurately Carry out theoretical calculation.And the law of large numbers is based on, theory is counted using substantial amounts of Floating Car drive test data in longer period of time Calculation value carries out calibration turns into a kind of preferably selection.Specific practice can count each section and see from magnanimity Floating Car drive test data The number of times of each base station is measured, observation numbers matrix of the hidden state to observer state is constructed, then observation numbers matrix is pressed The observation probability matrix that row normalization is counted on, the observation probability matrix of theoretical calculation is general with the observation that drive test is counted Rate matrix certain ranking operation of the carrying out of element one by one, such as averages, and then normalizes gained matrix by row again, i.e., Observation probability matrix after being corrected.
S205, the public transport vehicle-mounted mobile station/group of identification
Optionally, N days (N are taken>30) odd-numbered day will, count each mobile station carries out audio call as calling party, And the number of times that the duration of call is not less than 10 seconds is connected in calling, mobile station ID of all effective caller number of times more than 1 is recorded, And these mobile stations are referred to as hand held mobile station.
Optionally, M days (M are taken>30) mobile operator online, cell switching, location updating etc. record mobile station The daily record of position data, multiple daily records are merged according to timestamp sequencing, are merged into one<Timestamp, shifting Dynamic platform ID, base station IDs>The observation sequence record that triple is constituted, can only retain daily 10:00~17:Sight between 00 Survey sequential recording.
Above-mentioned observation sequence record is extracted, all mobile station ID identicals record is drawn into an independent note Record is concentrated, and constitutes the observational record of the mobile station.The observational record for only retaining non-hand held mobile station herein carries out subsequent analysis, And remove the observational record of all hand held mobile stations.
Observational record to each mobile station carries out track separation, extracts the motion track that each mobile station is under mobile status Observation sequence list.
The duration under each mobile station is kept in motion is counted, retains the mobile station shifting that duration is in 10% most intervals Dynamic rail mark observation sequence (list), and remove the motion track observation sequence (list) of every other mobile station.
For each mobile station, calculate successively in its motion track observation sequence list every section of motion track observation sequence with it is each The track similarity of public bus network, number of times of the recording track observation sequence with public bus network similarity more than 90% is designated as effectively Track number of times.Retain the mobile station moving rail of the ratio between effective track number of times and M (effective track number of times/M) not less than 2 Mark observation sequence (list), and remove the motion track observation sequence (list) of every other mobile station.
Filtered through above-mentioned several steps, the mobile station for remaining is public transport vehicle-mounted mobile station.
To each motion track observation sequence of each vehicle-mounted mobile platform, its correspondence public bus network is extracted, and from the starting station The time dispatched a car and reach terminal is constituted<Circuit ID, originate time, terminus time, mobile station ID>Four-tuple, All motion track observation sequences of all vehicle-mounted mobile platforms are extracted into result to be merged into same list.Should<Circuit ID, originate time, terminus time, mobile station ID>Quaternary Groups List is extracted, by all circuit ID identicals Record be drawn into one it is independent<Originate time, terminus time, mobile station ID>In triple record list, and point It is other corresponding to each circuit<Originate time, terminus time, mobile station ID>Triple record list according to the time that originates, Terminal time sorts, and last row (mobile station ID) for then extracting ranking results carry out Frequent Pattern Mining, therefrom It was found that the Frequent Set for often occurring, the mobile station/group on as same chassis.
Optionally, improved bus mobile station recognition methods can also be used, i.e., using the position letter in bus parking lot Breath, bus mobile station recognition accuracy is improved with this.It is specific as follows：
Bus parking lot is found using the position data in vehicle-mounted mobile platform start-up logging signaling daily record, and and then is recycled It was found that parking location aid in bus mobile station accuracy of identification offer.Public transit vehicle march into the arena parking after mobile unit fall Conductance causes the shutdown of vehicle-mounted mobile platform, and when the second apocalypse motor-car, electricity on vehicle-mounted mobile platform, installs cellular network communication agreement, Mobile station need to complete the register flow path in cellular network.Using the feature, specific practice is from M days (M>30) it is mobile The all mobile station logins identified by above-mentioned flow are extracted in platform registration daily record to record, take out corresponding base station IDs, and Inquiry latitude and longitude of base station position (Lat, Lon).These 2-D datas are carried out Kmeans clusters (cluster maximum radius be R, Each longitude and latitude degrees of data is symmetrically a sample herein), class of the sample number more than 4M in cluster is taken out from cluster result And belong to such base station, a collection of base stations is collectively formed, as parking lot serving BS collection.Taken using parking lot Business base station set is contrasted with all mobile stations that above-mentioned flow is identified, extracts each mobile station parking interval small more than 2 When after all-network register command record, if having more than 20% base station in record is not belonging to parking lot serving BS collection, Then the mobile station is deleted from public transport vehicle-mounted mobile station set.
Figure 11 is the track identification and model solution flow chart according to alternative embodiment of the present invention, as shown in figure 11, including：
S301, extraction bus up-downgoing track
The daily record that mobile operator online, cell switching, location updating etc. record location of mobile station data is taken, by multiple days According to record, temporally stamp sequencing is merged will, is merged into one<Timestamp, mobile station ID, base station IDs>Three The observation sequence record that tuple is constituted.
Above-mentioned observation sequence record is extracted, all mobile station ID identicals record is drawn into an independent note Record is concentrated, and constitutes the observational record of the mobile station.Only retain the corresponding observation sequence of public transport vehicle-mounted mobile station herein.
For each bus, its vehicle-mounted mobile platform group is inquired about, the mobile station that will belong to vehicle is recorded according to timestamps ordering Merged, be merged into one<Timestamp, mobile station ID, base station IDs>The observation sequence record that triple is constituted.
For each bus<Timestamp, mobile station ID, base station IDs>The observation sequence that triple is constituted carries out track Separate, extract the motion track observation sequence list that vehicle is under mobile status.For motion track observation sequence list In each motion track observation sequence, according to its originate location information just can directly judge Current vehicle service public transport Circuit and up-downgoing state.(5 seconds, average link length/(10* average overall travel speeds) are spaced with fixed sample< Sampling interval<Average link length/(2* average overall travel speeds)), after to the sequence sampled temporally first It is order sequence, fixed intervals afterwards<Timestamp,<Base station IDs 1, base station IDs 2, base station IDs n>>Observation sequence.
For example for 3 buses of mobile station of a carrying, be can interpolate that 10 by above-mentioned analysis:15~10:40 it Between run the uplink on the tunnel of public transport 101, and sample 25* (60/5)=300 altogether in this 25 minutes operation Group observation data, every group of observation data are made up of 3 base station IDs, such as (base station IDs 1, base station IDs 2, base station IDs 3).
S302, the hidden status switch of estimation
For the observation sequence sampled through fixed intervals in above-mentioned S301 steps, respective routes phase is selected from Models Sets Answer the model of up-downgoing state.
According to circuit and the hidden state initial value of up-downgoing state initialization, being input into observation sequence using Viterbi algorithm is carried out Reasoning, obtains corresponding hidden status switch<Timestamp, road section ID>.
Such as by 300 groups of upper example in chronological sequence order sequence<Base station IDs 1, base station IDs 2, base station IDs 3>Observation sequence Row and corresponding model carry out Viterbi algorithm and estimate hidden state together, can export a sequence being made up of 300 road section IDs Row, the sequence should be understood to the corresponding vehicle location of each sampling instant, can be arranged according to time order and function order.
S303, each section passage rate of calculating
Obtaining the corresponding hidden status switch of each bar motion track observation sequence<Timestamp, road section ID>On the basis of, system In the delay duration in each section, duration is detained in the passage rate=road section length/section in the section to meter vehicle.
The section passage rate directly calculated using the method is because the delay that duration is used with calculating is detained in actual section Duration has differences, therefore result of calculation is inaccurate, and changes between adjacent segments violent.Estimate further to improve section Error, can further be processed original estimated result using smoothing method.
Optionally, it is possible to use the condition of the extensive installation of current various mobile phone A PP, many APP, such as social class should With backstage can frequently pass through mobile network and Server-side communities, thus can be produced in operator's mobile Internet access daily record Substantial amounts of signaling record.Therefore, a kind of method of more excellent lifting velocity estimation accuracy is fusion vehicle-mounted mobile platform and public transport The signaling data that car driver and conductor mobile phone is produced carries out hidden state estimation.Fusion bus driver and conductor's mobile phone signaling data Key, is to be associated driver and conductor's mobile phone and bus, once the association of people's car is completed, follow-up trajectory extraction, Hidden state estimation will all be carried out using existing mode.Realized especially by the following manner：
Take N days (N>30) odd-numbered day will, count each mobile station carries out audio call as calling party, and calling connects The logical duration of call is not less than the number of times of 10 seconds, record all effective caller number of times more than 1 mobile station ID, and by these Mobile station is referred to as hand held mobile station.
Take M days (M>30) mobile operator cells switching, location updating daily record, by multiple daily records according to timestamp Sequencing is merged, and is merged into one<Timestamp, mobile station ID, base station IDs>The observation sequence that triple is constituted Record (only retains daily 10:00~17:Observation sequence record between 00).
Above-mentioned observation sequence record is extracted, all mobile station ID identicals record is drawn into an independent note Record is concentrated, and constitutes the observational record of the mobile station.Only retain the observational record of hand held mobile station herein, and remove all non- The observational record of hand held mobile station.
Count and record in each hand held mobile station observational record quantity, the most Top K of reservation record number (K be 2 times should City bus quantity) mobile station motion track observation sequence (list), and remove the motion track of every other mobile station Observation sequence (list).
Each the hand held mobile station observational record remained using parking lot serving BS set pair is filtered, and only retains every Base station IDs belong to the record of parking lot serving BS collection in individual mobile station observational record.Hand held mobile station after filtering is seen Surveying record carries out track separation, calculates the number of times that each hand held mobile station is stayed near the serving BS of parking lot, retains funny The observational record of hand held mobile station of the number of times more than 2M is stayed, and removes the observational record of every other mobile station.
For each mobile station, calculate successively in its motion track observation sequence list every section of motion track observation sequence with it is each The track similarity of public bus network, number of times of the recording track observation sequence with public bus network similarity more than 90% is designated as effectively Track number of times.Retain the mobile station moving rail of the ratio between effective track number of times and M (effective track number of times/M) not less than 2 Mark observation sequence (list), and remove the motion track observation sequence (list) of every other mobile station.
Filtered through above-mentioned several steps, the mobile station for remaining as bus driver and conductor mobile phone.
It should be noted that above-mentioned modules can be by software or hardware to realize, for the latter, Ke Yitong Cross in the following manner realization, but not limited to this：Above-mentioned module is respectively positioned in same processor；Or, above-mentioned module distinguishes position In multiple processors.
Embodiments of the invention additionally provide a kind of storage medium.Alternatively, in the present embodiment, above-mentioned storage medium can To be arranged to storage for performing the program code of following steps：
S1, obtains the vehicle-mounted shifting with the base station communication of Virtual network operator on bus to be monitored in the daily record of Virtual network operator The track sets of dynamic platform, wherein, track sets include：Multigroup timestamp with corresponding relation, vehicle-mounted mobile platform ID And base station IDs；
S2, the section operation information in each section on the travel route of bus to be monitored is obtained according to track sets, its In, section operation information includes multigroup timestamp with corresponding relation and road section ID；
S3, the travel speed of bus to be monitored on each section is obtained according to section operation information.
Alternatively, in the present embodiment, above-mentioned storage medium can be included but is not limited to：USB flash disk, read-only storage (ROM, Read-Only Memory), random access memory (RAM, Random Access Memory), mobile hard disk, Magnetic disc or CD etc. are various can be with the medium of store program codes.
Alternatively, the specific example in the present embodiment may be referred to showing described in above-described embodiment and optional embodiment Example, the present embodiment will not be repeated here.
Obviously, those skilled in the art should be understood that above-mentioned of the invention each module or each step can be with general Computing device realizes that they can be concentrated on single computing device, or is distributed in multiple computing devices and is constituted Network on, alternatively, the program code that they can be can perform with computing device be realized, it is thus possible to by they Storage is performed by computing device in the storage device, and in some cases, can be held with different from order herein The shown or described step of row, or they are fabricated to each integrated circuit modules respectively, or will be many in them Individual module or step are fabricated to single integrated circuit module to realize.So, the present invention is not restricted to any specific hardware Combined with software.
The preferred embodiments of the present invention are the foregoing is only, is not intended to limit the invention, for the technology of this area For personnel, the present invention can have various modifications and variations.It is all within the spirit and principles in the present invention, made it is any Modification, equivalent, improvement etc., should be included within the scope of the present invention.

Claims (18)

1. a kind of acquisition methods of traffic behavior, it is characterised in that including：
The base station communication with the Virtual network operator on bus to be monitored is obtained from the daily record of Virtual network operator Vehicle-mounted mobile platform track sets, wherein, the track sets include：Multigroup timestamp with corresponding relation, Vehicle-mounted mobile platform ID and base station IDs；
The section fortune in each section on the travel route of the bus to be monitored is obtained according to the track sets Row information, wherein, the section operation information includes multigroup timestamp with corresponding relation and road section ID；
Traveling speed of the bus to be monitored on described each section is obtained according to the section operation information Degree.
2. method according to claim 1, it is characterised in that obtain described to be monitored according to the section operation information Travel speed of the bus on described each section include：
The corresponding multiple timestamps of the road section ID according to identical obtain the bus to be monitored on the road The holdup time T on section indicated by section ID；
The bus to be monitored is calculated on the section indicated by the road section ID by below equation Travel speed V：V=D/T, wherein, D is the length in the section indicated by the road section ID for getting in advance.
3. method according to claim 1, it is characterised in that obtaining to be monitored from the daily record of Virtual network operator On bus with the track sets of the vehicle-mounted mobile platform of the base station communication of the Virtual network operator before, including：
Non- hand held mobile station sequence is determined from the daily record, wherein, the non-hand held mobile station sequence includes many Timestamp of the group with corresponding relation, mobile station ID and base station IDs；
The base with the Virtual network operator recorded in the daily record according to the non-hand held mobile station retrieval Stand communication non-hand held mobile station running orbit；
Non- hand by the registration between the running orbit and predetermined bus running circuit more than predetermined threshold Hold mobile station and be defined as vehicle-mounted mobile platform.
4. method according to claim 1, it is characterised in that obtaining to be monitored from the daily record of Virtual network operator On bus with the track sets of the vehicle-mounted mobile platform of the base station communication of the Virtual network operator before, including：
Traffic route point is set up according to the road information in area to be monitored, travel route information, base station distribution information Butut, and by the lane segmentation in the area to be monitored into one or more sections；
Set up mapping of each section to the base station in the area to be monitored；
Obtain the daily record of the Virtual network operator in the area to be monitored.
5. method according to claim 4, it is characterised in that the road information according in area to be monitored, OK Sail line information, base station distribution information and set up traffic route distribution map, and the road in the area to be monitored is divided Being cut into one or more sections includes：
Obtain base station, vehicle line, the latitude and longitude information of road in area to be monitored；
With the base station as distributed point, the vehicle line, road are distributing line, and the radiation scope of the base station is Distribution circle sets up traffic route distribution map；
It is cut-point by institute with the distribution circle and the intersection point of the distributing line and the intersection of the vehicle line State distributing line and be divided into multiple sections.
6. method according to claim 4, it is characterised in that described to set up each section in the area to be monitored and arrive The mapping of the base station includes：
The base station IDs of the base station in radiation each section are determined from the traffic route distribution map；
The mapping of multiple base stations that foundation is connected respectively according to the track of vehicle line on each section.
7. method according to claim 6, it is characterised in that the foundation is according to the track of vehicle line on each road The mapping of the multiple base stations connected respectively in section includes：
Set up the vehicle-mounted mobile platform ID and be connected respectively on each section according to the up track of vehicle line The first corresponding relation between the base station IDs of multiple base stations, and/or, set up the vehicle-mounted mobile platform ID and according to row The second correspondence sailed between the base station IDs of multiple base stations that the descending track of circuit connects respectively on each section is closed System.
8. method according to claim 3, it is characterised in that described that non-hand held mobile station is determined from the daily record Sequence includes：
Judge recorded in the daily record with the mobile station of the base station communication of the Virtual network operator daily Whether the quantity of the base station of average connection is more than the first predetermined threshold value in one predetermined amount of time, and/or, judge described Recorded in daily record with the mobile station of the base station communication of the Virtual network operator in the second daily predetermined amount of time Whether the number of times of interior average switching base station is more than the second predetermined threshold value；
When judged result is to be, the mobile station is determined for non-hand held mobile station, and institute is obtained from the daily record State the non-hand held mobile station sequence of non-hand held mobile station.
9. method according to claim 3, it is characterised in that described that non-hand held mobile station is determined from the daily record Sequence includes：
Judge recorded in the daily record with the mobile station of the base station communication of the Virtual network operator daily Whether the average time being resident in parking lot in three predetermined amount of time is more than the 3rd predetermined threshold value, and/or, judge Recorded in the daily record with the mobile station of the base station communication of the Virtual network operator in the daily the 4th pre- timing Between the average time be resident in parking lot in section whether be more than the 4th predetermined threshold value, and/or, judge the daily record Recorded in the time point being resident in parking lot with the mobile station of the base station communication of the Virtual network operator whether In the 5th predetermined amount of time；
When judged result is to be, the mobile station is determined for non-hand held mobile station, and institute is obtained from the daily record State the non-hand held mobile station sequence of non-hand held mobile station.
10. a kind of acquisition device of traffic behavior, it is characterised in that including：
First acquisition module, for obtained from the daily record of Virtual network operator on bus to be monitored with the network The track sets of the vehicle-mounted mobile platform of the base station communication of operator, wherein, the track sets include：It is multigroup to have The timestamp of corresponding relation, vehicle-mounted mobile platform ID and base station IDs；
Second acquisition module, the travel route for obtaining the bus to be monitored according to the track sets The section operation information in each section, wherein, the section operation information include it is multigroup with corresponding relation when Between stamp and road section ID；
3rd acquisition module, for obtaining the bus to be monitored described each according to the section operation information Travel speed on individual section.
11. devices according to claim 10, it is characterised in that the 3rd acquisition module includes：
First acquisition unit, for waiting to supervise described in the corresponding multiple timestamps acquisitions of the road section ID according to identical Holdup time T of the bus of survey on the section indicated by the road section ID；
Computing unit, for being calculated the bus to be monitored in the road section ID institute by below equation Travel speed V on the section of instruction：V=D/T, wherein, D is indicated by the road section ID for getting in advance Section length.
12. devices according to claim 10, it is characterised in that described device also includes：
First determining module, on bus to be monitored is obtained from the daily record of Virtual network operator with the net Before the track sets of the vehicle-mounted mobile platform of the base station communication of network operator, non-hand-held shifting is determined from the daily record Dynamic platform sequence, wherein, the non-hand held mobile station sequence includes multigroup timestamp with corresponding relation, mobile station ID and base station IDs；
4th acquisition module, for recorded in the daily record according to the non-hand held mobile station retrieval with institute State the running orbit of the non-hand held mobile station of the base station communication of Virtual network operator；
Second determining module, for the registration between the running orbit and predetermined bus running circuit is big It is defined as vehicle-mounted mobile platform in the non-hand held mobile station of predetermined threshold.
13. devices according to claim 10, it is characterised in that described device also includes：
First sets up module, on bus to be monitored is obtained from the daily record of Virtual network operator with the net Before the track sets of the vehicle-mounted mobile platform of the base station communication of network operator, according to the road information in area to be monitored, Travel route information, base station distribution information set up traffic route distribution map, and by the road in the area to be monitored It is divided into one or more sections；
Second sets up module, for setting up mapping of each section to the base station in the area to be monitored；
5th acquisition module, the daily record for obtaining the Virtual network operator in the area to be monitored.
14. devices according to claim 13, it is characterised in that described first sets up module includes：
Second acquisition unit, the latitude and longitude information for obtaining the base station in area to be monitored, vehicle line, road；
First sets up unit, for the base station as distributed point, the vehicle line, road to be distributing line, institute The radiation scope of base station is stated for distribution circle sets up traffic route distribution map；
Cutting unit, for intersection point of the distribution circle with the distributing line and the intersection of the vehicle line For the distributing line is divided into multiple sections by cut-point.
15. devices according to claim 13, it is characterised in that described second sets up module includes：
First determining unit, the base of the base station for determining radiation each section from the traffic route distribution map Stand ID；
Second sets up unit, multiple bases that the track for setting up according to vehicle line connects respectively on each section The mapping stood.
16. devices according to claim 15, it is characterised in that described second sets up unit also includes：
First sets up subelement, for setting up the vehicle-mounted mobile platform ID and existing according to the up track of vehicle line The first corresponding relation between the base station IDs of the multiple base stations connected respectively on each section；And/or
Second sets up subelement, for setting up the vehicle-mounted mobile platform ID and existing according to the descending track of vehicle line The second corresponding relation between the base station IDs of the multiple base stations connected respectively on each section.
17. devices according to claim 12, it is characterised in that first determining module includes：
First judging unit, for judge recorded in the daily record with the base station communication of the Virtual network operator Whether the quantity of mobile station base station of average connection in the first daily predetermined amount of time is more than the first predetermined threshold value； And/or, the second judging unit, for judging leading to the base station of the Virtual network operator recorded in the daily record Whether the number of times of the mobile station of letter average switching base station in the second daily predetermined amount of time is more than the second default threshold Value；
Second determining unit, for when judged result is to be, determining the mobile station for non-hand held mobile station, and The non-hand held mobile station sequence of the non-hand held mobile station is obtained from the daily record.
18. devices according to claim 12, it is characterised in that first determining module includes：
3rd judging unit, for judge recorded in the daily record with the base station communication of the Virtual network operator Whether the average time that mobile station is resident in the 3rd daily predetermined amount of time in parking lot presets more than the 3rd Threshold value, and/or, the 4th judging unit, for judge recorded in the daily record with the Virtual network operator Whether the average time that the mobile station of base station communication is resident in the 4th daily predetermined amount of time in parking lot is big In the 4th predetermined threshold value, and/or, the 5th judging unit, for judge recorded in the daily record with the net Whether the time point that the mobile station of the base station communication of network operator is resident in parking lot is in the 5th predetermined amount of time；
3rd determining unit, for when judged result is to be, determining the mobile station for non-hand held mobile station, and The non-hand held mobile station sequence of the non-hand held mobile station is obtained from the daily record.
CN201510790751.2A 2015-11-16 2015-11-16 Traffic state acquisition method and device Pending CN106710208A (en)

Priority Applications (2)

Application Number Priority Date Filing Date Title
CN201510790751.2A CN106710208A (en) 2015-11-16 2015-11-16 Traffic state acquisition method and device
PCT/CN2016/075255 WO2017084221A1 (en) 2015-11-16 2016-03-01 Method and apparatus for acquiring traffic state

Applications Claiming Priority (1)

Application Number Priority Date Filing Date Title
CN201510790751.2A CN106710208A (en) 2015-11-16 2015-11-16 Traffic state acquisition method and device

Publications (1)

Publication Number Publication Date
CN106710208A true CN106710208A (en) 2017-05-24

Family

ID=58718062

Family Applications (1)

Application Number Title Priority Date Filing Date
CN201510790751.2A Pending CN106710208A (en) 2015-11-16 2015-11-16 Traffic state acquisition method and device

Country Status (2)

Country Link
CN (1) CN106710208A (en)
WO (1) WO2017084221A1 (en)

Cited By (11)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN108320586A (en) * 2018-04-04 2018-07-24 飞行家族（北京）科技有限公司 A kind of low altitude airspace obstacle information acquisition system and method
CN109309956A (en) * 2017-07-28 2019-02-05 中国移动通信集团山西有限公司 Location positioning method, device, equipment and computer readable storage medium
CN109660989A (en) * 2019-01-04 2019-04-19 中国联合网络通信集团有限公司 Localization method, terminal device, location service platform and positioning system
CN110047277A (en) * 2019-03-28 2019-07-23 华中科技大学 Road traffic congestion arrangement method and system based on signaling data
CN110891293A (en) * 2019-11-11 2020-03-17 南京邮电大学 Multi-attribute network selection method based on vehicle track prediction
CN111914955A (en) * 2020-10-13 2020-11-10 上海世脉信息科技有限公司 Public transport line identification method based on GPS track data
CN112530166A (en) * 2020-12-01 2021-03-19 江苏欣网视讯软件技术有限公司 Method and system for analyzing and identifying bus station for getting on or off bus during traveling based on signaling data and big data
CN113469109A (en) * 2021-07-16 2021-10-01 阿波罗智联(北京)科技有限公司 Traffic light identification result processing method and device, road side equipment and cloud control platform
CN113920722A (en) * 2021-09-23 2022-01-11 摩拜(北京)信息技术有限公司 Intersection passing state obtaining method and device, electronic equipment and storage medium
CN114944058A (en) * 2022-05-11 2022-08-26 福勤智能科技（昆山）有限公司 Congestion region distance determining method and device, early warning equipment and storage medium
CN115762055A (en) * 2023-01-05 2023-03-07 广东汇通信息科技股份有限公司 Public place treading early warning method based on computer vision

Families Citing this family (7)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN110298531A (en) * 2019-04-15 2019-10-01 同济大学 A kind of electric vehicle dispatching method based on multivariate data
CN111125552B (en) * 2019-11-11 2024-02-13 北京金山安全软件有限公司 Method and device for drawing moving track, electronic equipment and storage medium
CN111126807B (en) * 2019-12-12 2023-10-10 浙江大华技术股份有限公司 Stroke segmentation method and device, storage medium and electronic device
CN112216387B (en) * 2020-09-02 2024-04-09 成都大汇智联科技有限公司 Reworking and production management method and system based on cloud data platform
CN113163361A (en) * 2021-01-08 2021-07-23 中国联合网络通信集团有限公司 Vehicle information processing method and device and server
CN113766430B (en) * 2021-09-14 2023-11-10 广州瀚信通信科技股份有限公司 Urban rail congestion analysis method and device based on 5G network
CN114724407B (en) * 2022-03-25 2023-05-30 中电达通数据技术股份有限公司 Correct lane identifying method based on multiple data sources in road fitting

Citations (9)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
WO2001023835A2 (en) * 1999-09-27 2001-04-05 Decell Inc. Apparatus and methods for providing route guidance for vehicles
CN101645202A (en) * 2009-08-25 2010-02-10 任佳 Freeway network vehicle track identification system and method based on mobile positioning technology
CN101794516A (en) * 2009-12-25 2010-08-04 北京工业大学 Mobile phone information based section speed calculation method
CN102496280A (en) * 2011-12-13 2012-06-13 北京航空航天大学 Method for obtaining road condition information in real time
CN103037507A (en) * 2012-12-17 2013-04-10 浙江鸿程计算机系统有限公司 Map matching method based on Cell-identification (ID) location technology
CN103177562A (en) * 2011-12-26 2013-06-26 中国移动通信集团公司 Method and device for obtaining information of traffic condition prediction
CN103810851A (en) * 2014-01-23 2014-05-21 广州地理研究所 Mobile phone location based traffic mode identification method
CN104318765A (en) * 2014-10-22 2015-01-28 浙江工业大学 Method for automatically detecting real-time traffic congestion based on smart phone
CN104778836A (en) * 2015-04-03 2015-07-15 江苏省交通规划设计院股份有限公司 Highway traffic state recognition method based on cellular signaling data quality perception

Family Cites Families (4)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
WO2012019246A1 (en) * 2010-08-13 2012-02-16 Seeker Wireless Pty Limited Systems, methods, and processor readable media for traffic flow measurement
CN102521984A (en) * 2011-12-31 2012-06-27 北京世纪高通科技有限公司 Method and device for acquiring real-time traffic information of road
CN103778784B (en) * 2013-12-31 2016-06-15 上海云砥信息科技有限公司 The method of express highway section traffic state information is obtained in real time based on data in mobile phone
CN104978858B (en) * 2015-06-15 2017-12-22 北京拓明科技有限公司 A kind of highway real-time road monitoring method based on mobile phone signaling

Patent Citations (9)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
WO2001023835A2 (en) * 1999-09-27 2001-04-05 Decell Inc. Apparatus and methods for providing route guidance for vehicles
CN101645202A (en) * 2009-08-25 2010-02-10 任佳 Freeway network vehicle track identification system and method based on mobile positioning technology
CN101794516A (en) * 2009-12-25 2010-08-04 北京工业大学 Mobile phone information based section speed calculation method
CN102496280A (en) * 2011-12-13 2012-06-13 北京航空航天大学 Method for obtaining road condition information in real time
CN103177562A (en) * 2011-12-26 2013-06-26 中国移动通信集团公司 Method and device for obtaining information of traffic condition prediction
CN103037507A (en) * 2012-12-17 2013-04-10 浙江鸿程计算机系统有限公司 Map matching method based on Cell-identification (ID) location technology
CN103810851A (en) * 2014-01-23 2014-05-21 广州地理研究所 Mobile phone location based traffic mode identification method
CN104318765A (en) * 2014-10-22 2015-01-28 浙江工业大学 Method for automatically detecting real-time traffic congestion based on smart phone
CN104778836A (en) * 2015-04-03 2015-07-15 江苏省交通规划设计院股份有限公司 Highway traffic state recognition method based on cellular signaling data quality perception

Cited By (16)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN109309956A (en) * 2017-07-28 2019-02-05 中国移动通信集团山西有限公司 Location positioning method, device, equipment and computer readable storage medium
CN109309956B (en) * 2017-07-28 2020-11-24 中国移动通信集团山西有限公司 Position locating method, device, equipment and computer readable storage medium
CN108320586A (en) * 2018-04-04 2018-07-24 飞行家族（北京）科技有限公司 A kind of low altitude airspace obstacle information acquisition system and method
CN109660989A (en) * 2019-01-04 2019-04-19 中国联合网络通信集团有限公司 Localization method, terminal device, location service platform and positioning system
CN110047277A (en) * 2019-03-28 2019-07-23 华中科技大学 Road traffic congestion arrangement method and system based on signaling data
CN110891293A (en) * 2019-11-11 2020-03-17 南京邮电大学 Multi-attribute network selection method based on vehicle track prediction
CN111914955A (en) * 2020-10-13 2020-11-10 上海世脉信息科技有限公司 Public transport line identification method based on GPS track data
CN111914955B (en) * 2020-10-13 2021-01-15 上海世脉信息科技有限公司 Public transport line identification method based on GPS track data
CN112530166A (en) * 2020-12-01 2021-03-19 江苏欣网视讯软件技术有限公司 Method and system for analyzing and identifying bus station for getting on or off bus during traveling based on signaling data and big data
CN112530166B (en) * 2020-12-01 2021-11-05 江苏欣网视讯软件技术有限公司 Method and system for analyzing and identifying bus station for getting on or off bus during traveling based on signaling data and big data
CN113469109A (en) * 2021-07-16 2021-10-01 阿波罗智联(北京)科技有限公司 Traffic light identification result processing method and device, road side equipment and cloud control platform
CN113469109B (en) * 2021-07-16 2022-09-13 阿波罗智联(北京)科技有限公司 Traffic light identification result processing method and device, road side equipment and cloud control platform
CN113920722A (en) * 2021-09-23 2022-01-11 摩拜(北京)信息技术有限公司 Intersection passing state obtaining method and device, electronic equipment and storage medium
CN113920722B (en) * 2021-09-23 2023-04-14 摩拜(北京)信息技术有限公司 Intersection passing state obtaining method and device, electronic equipment and storage medium
CN114944058A (en) * 2022-05-11 2022-08-26 福勤智能科技（昆山）有限公司 Congestion region distance determining method and device, early warning equipment and storage medium
CN115762055A (en) * 2023-01-05 2023-03-07 广东汇通信息科技股份有限公司 Public place treading early warning method based on computer vision

Also Published As

Publication number Publication date
WO2017084221A1 (en) 2017-05-26

Similar Documents

Publication Publication Date Title
CN106710208A (en) Traffic state acquisition method and device
CN106197458B (en) A kind of mobile phone user&#39;s trip mode recognition methods based on mobile phone signaling data and navigation route data
CN103646187B (en) Method for obtaining vehicle travel path and OD (Origin-Destination) matrix in statistic period
CN103646560B (en) The extracting method in taxi wheelpath experimental knowledge path
CN104330089B (en) A kind of method that map match is carried out using history gps data
CN102521965B (en) Effect evaluation method of traffic demand management measures based on identification data of license plates
CN109410586A (en) A kind of Traffic State Detection Method based on multivariate data fusion
CN105491532B (en) A kind of mobile phone SIP signaling filtering method and apparatus for road network running state analysis
CN108133611A (en) Vehicle driving trace monitoring method and system
CN105788263B (en) A kind of method by cellphone information predicted link congestion
CN110555992B (en) Taxi driving path information extraction method based on GPS track data
CN107247718A (en) Update method and device, the navigation system and server of a kind of map datum
CN105809962A (en) Traffic trip mode splitting method based on mobile phone data
CN108320501A (en) Public bus network recognition methods based on user mobile phone signaling
CN105608505A (en) Cellular signaling data based track traffic travel mode identification method for resident
CN101136140A (en) Roads traffic speed calculating and matching method and system
CN104613974B (en) Navigation time acquisition methods, system, air navigation aid and device
CN104574967A (en) City large-area road network traffic sensing method based on plough satellite
CN102521973A (en) Road matching method for mobile phone switching positioning
CN106781479A (en) A kind of method for obtaining highway running status in real time based on mobile phone signaling data
CN110990661B (en) Region of interest access extraction method based on road network constraint and density clustering
CN108766031A (en) A kind of method and apparatus of detection lane obstructions object
CN110598917B (en) Destination prediction method, system and storage medium based on path track
CN106017476A (en) Method for generating indoor positioning and navigating map model
CN104282142B (en) Bus station arrangement method based on taxi GPS data

Legal Events

Date Code Title Description
PB01 Publication
PB01 Publication
SE01 Entry into force of request for substantive examination
SE01 Entry into force of request for substantive examination
RJ01 Rejection of invention patent application after publication
RJ01 Rejection of invention patent application after publication

Application publication date: 20170524