CN103905991A

CN103905991A - Position information acquisition apparatus and method, and traffic status estimation system and method

Info

Publication number: CN103905991A
Application number: CN201210581028.XA
Authority: CN
Inventors: 杨景; 王泉; 赵婷婷
Original assignee: China Mobile Communications Group Co Ltd
Current assignee: China Mobile Communications Group Co Ltd
Priority date: 2012-12-27
Filing date: 2012-12-27
Publication date: 2014-07-02
Anticipated expiration: 2032-12-27
Also published as: CN103905991B

Abstract

The invention provides a position information acquisition apparatus and method, and a traffic status estimation system and method. The position information acquisition method comprises: during a process when a mobile communication terminal initiates active communication, based on a mobile network side positioning technology, acquiring first data of the mobile communication terminal; through actively paging the mobile communication terminal, based on the mobile network side positioning technology, acquiring second data, which is generated based on the paging, of the mobile communication terminal; according to a mode selection parameter, selecting at least one from a step of acquiring the first data and a step of acquiring the second data, and controlling the selected data acquisition step to be at a working state; and sending data acquired by the data acquisition step at the working state to a data analysis end so that the data analysis end can carry out traffic status estimation based on the received data. According to the invention, an active acquisition mode and an inactive acquisition mode are combined for acquiring position information and traffic status estimation.

Description

A kind of position information acquisition device, traffic estimating system and method

Technical field

The present invention relates to mobile communication and traffic information collection field, relate in particular to a kind of position information acquisition device, traffic estimating system and method.

Background technology

The existing scheme that gathers transport information based on mobile communications network, according to whether need to produce new signal in gatherer process, can be divided into initiatively traffic information collection and passive traffic information collection; According to the main body of implementing location, can be divided into the traffic information collection based on mobile network and the traffic information collection based on mobile terminal.

Typical active traffic information collection comprises the technical scheme based on Paging (paging), and this precision of technical scheme and the real-time of information thereof based on Paging (paging) depends on: number of mobile stations (being sample size), the frequency of updating location information etc. that in sample frequency, positioning precision, given area, can obtain positional information.

And passive acquisition technique is that one or more points are collected data from network, it does not exert an influence to offered load.

Wherein, while adopting active scheme to gather transport information, need to sample to a large amount of travelling carriages, the active traffic information collection schemes such as Paging can significantly increase Internet Transmission load; And in the time adopting passive type to gather transport information, if traffic congestion is serious, the speed of a motor vehicle is extremely low, the duration of call of vehicle-mounted mobile platform was less than by continuous two times that switching point is required in section, cannot obtain enough switching sample sizes with estimation section travel speed.

Summary of the invention

The object of this invention is to provide a kind of position information acquisition device, traffic estimating system and method, moving main quilt acquisition mode is combined to collection position information, carry out traffic estimation.

To achieve these goals, the embodiment of the present invention provides a kind of position information acquisition device, is used to traffic to estimate to provide data source, comprising:

The first data acquisition module, for initiate the process of active communication at mobile communication terminal, gathers the first data of described mobile communication terminal based on mobile network's side location technology;

The second data acquisition module, for passing through active paging mobile communication terminal, and gathers based on described mobile network's side location technology the second data that described mobile communication terminal occurs based on described paging;

Select module, for selecting at least one according to a model selection parameter from described the first data acquisition module and described the second data acquisition module, and it is in running order to control selecteed data acquisition module;

Data transmission blocks, for by running order data collecting module collected to data send to data analysis end, make data analysis end to carry out traffic estimation based on the data that receive.

Wherein, preferably, described position information acquisition device also comprises:

The 3rd data acquisition module, for gathering the 3rd data from described mobile communication terminal;

Described data transmission blocks also, for the 3rd data of the 3rd data collecting module collected are sent to described data analysis end, makes described data analysis end to carry out traffic estimation based on the data that receive.

Wherein, preferably, described model selection parameter is that described data analysis end group carries out traffic in the data that receive and estimates the traffic estimated result obtaining.

Wherein, preferably, described the second data acquisition module specifically comprises:

Memory module, for recording a controlling of sampling parameter, is recorded in corresponding to each section the mobile communication terminal list that communication event occurs on this section simultaneously;

Module is selected in section, selects the second section for the section, upstream that is less than first section of presetting thresholding from sampled point quantity;

Paging module, for determining according to the information of described memory module record the mobile communication terminal that communication event occurs in the second section, and initiates paging to definite mobile communication terminal;

Data acquisition submodule, for described the second data that occur based on described paging based on the definite mobile communication terminal of described controlling of sampling parameter acquisition.

To achieve these goals, the embodiment of the present invention also provides a kind of traffic estimating system, comprises a position information acquisition device and an estimation unit, and described position information acquisition device comprises:

Data transmission blocks, for sending to described estimation unit by the data of in running order data collecting module collected;

Described estimation unit, specifically for utilizing the data that receive to carry out traffic estimation, obtains a traffic estimated result.

Wherein, preferably, described traffic estimating system also comprises:

Described data transmission blocks also, for the 3rd data of the 3rd data collecting module collected are sent to described data analysis end, makes described data analysis end to carry out traffic estimation based on the communication receiving.

Wherein, preferably, described model selection parameter is that described estimation unit carries out traffic based on the data that receive and estimates the traffic estimated result obtaining.

Paging module, for determining according to the information of described memory module record the mobile communication terminal that communication event occurs in the second section, and initiates paging to definite mobile communication terminal; Described the second section is the section, upstream that sampled point quantity is less than the first section of default thresholding;

Wherein, preferably, in described traffic estimating system, estimation unit comprises:

Mapping block, for the data that receive are carried out to map operation, obtains geographical location information corresponding to data point;

Computing module, for calculating according to the geographical location information obtaining and the acquisition time of data, obtains traffic estimated result.

Wherein, preferably, described mapping block specifically comprises:

The first pretreatment unit, deletes because out-of-the way position upgrades the data that produce for the data from receiving, and obtains the 4th data;

Mapping submodule, for according to the position corresponding relation between mobile communications network and electronic chart, to described electronic chart, obtains recording the first mapping (enum) data of geographical location information corresponding to the 4th data by described the 4th data-mapping;

The second pretreatment unit, for described the first mapping (enum) data being carried out to the operation of non-driving terminal filtering, obtains the second mapping (enum) data;

The 3rd pretreatment unit, for described the second mapping (enum) data is carried out to the operation that merges repeating data, obtains the 3rd mapping (enum) data;

Described computing module, specifically for estimating according to the acquisition time of described the 3rd mapping (enum) data and the 3rd mapping (enum) data, obtains traffic estimated result.

Wherein, preferably, described traffic estimating system also comprises:

Study module, for carrying out knowledge learning according to the relation between data and the controlling of sampling parameter of the selection result of described traffic estimated result and selection module, data collecting module collected, revise described selection module selecting the alternative condition of data acquisition module.

To achieve these goals, the embodiment of the present invention also provides a kind of positional information acquisition method, is used to traffic to estimate to provide data source, and described positional information acquisition method comprises:

Initiate, in the process of active communication, to gather the first data of described mobile communication terminal based on mobile network's side location technology at mobile communication terminal;

By active paging mobile communication terminal, and gather based on described mobile network's side location technology the second data that described mobile communication terminal occurs based on described paging;

From the step of described collection the first data and described collection the second data, select at least one according to a model selection parameter, and it is in running order to control the step of selecteed image data;

The data that in running order image data step is collected send to data analysis end, make data analysis end to carry out traffic estimation based on the data that receive.

Wherein, preferably, described positional information acquisition method also comprises:

Gather the 3rd data from described mobile communication terminal;

The described data that in running order image data step is collected send to data analysis end, make data analysis end can based on the data that receive carry out traffic estimation also comprise by gather the 3rd data send to described data analysis end, make described data analysis end to carry out traffic estimation based on the data that receive.

Wherein, preferably, described by active paging mobile communication terminal, and gather based on described mobile network's side location technology the second data that described mobile communication terminal occurs based on described paging and specifically comprise:

Record a controlling of sampling parameter, be recorded in corresponding to each section the mobile communication terminal list that communication event occurs on this section simultaneously;

From being less than the section, upstream in the first section of default thresholding, sampled point quantity selects the second section;

Be recorded in corresponding to each section the mobile communication terminal list that communication event occurs on this section according to what record, determine the mobile communication terminal that communication event occurs in the second section, and initiate paging to definite mobile communication terminal;

Described the second data that occur based on described paging based on the definite mobile communication terminal of described controlling of sampling parameter acquisition.

To achieve these goals, the embodiment of the present invention also provides a kind of traffic condition estimation method, and for a traffic estimating system, described traffic condition estimation method comprises:

From the step of described collection the first data and described collection the second data, select at least one according to a model selection parameter, and it is in running order to control selecteed image data step;

Carry out traffic estimation according to the data of in running order image data step collection, obtain a traffic estimated result.

Wherein, preferably, described traffic condition estimation method also comprises:

Gather the 3rd data from described mobile communication terminal;

The described data according in running order data acquisition step collection are carried out traffic estimation, obtain traffic estimated result also for carrying out traffic estimation according to the 3rd data that gather, and obtain traffic estimated result.

Wherein, preferably, described model selection parameter is to carry out traffic based on the data that collect to estimate the traffic estimated result obtaining.

Determine the mobile communication terminal that communication event occurs in the second section according to the information of record, and initiate paging to definite mobile communication terminal; Described the second section is the section, upstream that sampled point quantity is less than the first section of default thresholding;

Wherein, preferably, the described data according in running order data acquisition step collection are carried out traffic estimation, obtain traffic estimated result and specifically comprise:

The data that collect are carried out to map operation, obtain geographical location information corresponding to data point;

Calculate according to the acquisition time of the geographical location information obtaining and data, obtain traffic estimated result.

Wherein, preferably, described the data that collect are carried out to map operation, obtain geographical location information corresponding to data point and specifically comprise:

From the data that collect, delete because out-of-the way position upgrades the data that produce, obtain the 4th data;

According to the position corresponding relation between mobile communications network and electronic chart, described the 4th data-mapping, to described electronic chart, is obtained recording the first mapping (enum) data of geographical location information corresponding to the 4th data;

Described the first mapping (enum) data is carried out to the operation of non-driving terminal filtering, obtained the second mapping (enum) data;

Described the second mapping (enum) data is carried out to the operation that merges repeating data, obtain the 3rd mapping (enum) data;

The geographical location information that described basis obtains and the acquisition time of data calculate, and obtain traffic estimated result and are specially according to the acquisition time of described the 3rd mapping (enum) data and the 3rd mapping (enum) data and estimate, obtain traffic estimated result.

Carry out knowledge learning according to the relation between data and the controlling of sampling parameter of the selection result of described traffic estimated result and selection image data step, data acquisition step collection, revise the alternative condition of described selection data acquisition step.

The embodiment of the present invention has at least one in following beneficial effect:

The embodiment of the present invention, can combine collection position information by the mode of the moving collection position information of main quilt, carries out traffic estimation;

The embodiment of the present invention, the positional information that mobile terminal is detected merges mutually with above-mentioned mobile network's locator data, further improves positional information sample size and sample precision thereof;

The embodiment of the present invention all gathers CS territory (circuit commutative field) and PS territory (packet-switched domain) data;

The embodiment of the present invention is switched collection of illustrative plates as reference taking drive test for network optimization, and the handover information based on user improves customer position information estimated accuracy;

With respect to existing passive type information acquiring technology, the embodiment of the present invention has been avoided because the driving number of users in call or networking state on section is when very few, cause efficiently sampling to be counted very few, and then traffic information collection precision is brought to the problem of adverse effect;

With respect to the active information acquiring technology of tradition, the embodiment of the present invention has solved the problem that is difficult to obtain enough switching sample sizes under serious jam situation, has reduced network load and power consumption of terminal simultaneously as far as possible.

The embodiment of the present invention, can carry out knowledge learning according to the relation between data and the controlling of sampling parameter of the selection result of described traffic estimated result and selection module, data collecting module collected, the resources bank of further refreshing one's knowledge, the alternative condition of data acquisition module is selected in amendment.

Brief description of the drawings

The structural representation of the position information acquisition device that Fig. 1 provides for the embodiment of the present invention;

Fig. 2 is the schematic diagram at embodiment of the present invention middle and upper reaches crossing;

The structural representation of the traffic estimating system that Fig. 3 provides for the embodiment of the present invention;

The structural representation of the estimation unit that Fig. 4 provides for the embodiment of the present invention;

Fig. 5 is schematic diagram when a kind of position data abnormal conditions in the embodiment of the present invention;

The structural representation of the functional entity of the traffic estimating system that Fig. 6 provides for the embodiment of the present invention;

The schematic flow sheet of the positional information acquisition method that Fig. 7 provides for the embodiment of the present invention;

The schematic flow sheet of the traffic condition estimation method that Fig. 8 provides for the embodiment of the present invention.

Embodiment

For technical problem, technical scheme and advantage that the embodiment of the present invention will be solved are clearer, be described in detail below in conjunction with the accompanying drawings and the specific embodiments.

The embodiment of the present invention provides a kind of position information acquisition device, is used to traffic to estimate to provide data source, and as shown in Figure 1, described position information acquisition device comprises:

In the position information acquisition device of the embodiment of the present invention, when the active communication such as the first data acquisition module is conversed at mobile communication terminal, short message receiving-transmitting, position renewal, the first data while utilizing mobile network's location technology acquisition terminal initiatively above-mentioned action to occur, now do not need mobile communication terminal and position information acquisition device to carry out image data by extra signal, therefore belong to passive type traffic information collection; And the second data acquisition module active paging mobile communication terminal utilizes the second data of mobile network's location technology acquisition terminal equally, now needs data acquisition module to produce new signal, therefore belongs to active traffic information collection; Select module specifically from described the first data acquisition module and described the second data acquisition module, to select at least one according to model selection parameter, and it is in running order to control selecteed data acquisition module, move hybrid terminal positional information image data by main quilt, send to data analysis end, carry out traffic estimation.Therefore, can fully utilize the advantage of two kinds of acquisition modes by suitable selection strategy is set, improve the accuracy of the data that position information acquisition device provides and rich.

In specific embodiments of the invention, the first and second data acquisition modules all can gather any one in CS territory (circuit commutative field) data and PS territory (packet-switched domain) data.

Can fully utilize two kinds of acquisition modes and illustrate as follows by suitable selection strategy is set above position information acquisition device.

< example 1>

In the time that mobile terminal A, B, C, D all active communication have occurred, the first data acquisition module utilizes mobile network's location technology the first data of acquisition terminal A, B, C, D respectively;

The second data acquisition module impels mobile terminal A, B, C and D (can certainly be other terminal) in response to this paging by active paging, the second data that then make the second data acquisition module to occur based on described paging based on mobile network's side location technology difference acquisition terminal A, B, C and D;

< situation one >

Select module to select the first data acquisition module according to model selection parameter in the first moment, and ensure that the first data acquisition module is in running order;

The first data of terminal A, B, C, D are sent to data analysis end by data transmission blocks, and data analysis end can the first data based on receiving terminal A, B, C, D carry out traffic estimation.

< situation two >

Select module to select the second data acquisition module according to model selection parameter in the second moment, and ensure that the second data acquisition module is in running order;

The second data of terminal A, B, C, D are sent to data analysis end by data transmission blocks, and data analysis end can the second data based on receiving terminal A, B, C, D carry out traffic estimation.

< situation three >

The first data acquisition module and the second data acquisition module are simultaneously in running order, the first data of terminal A, B, C, D and the second data are all sent to data analysis end and carry out traffic estimation.

Therefore, the position information acquisition device of the embodiment of the present invention can move hybrid terminal positional information image data by main quilt.

In above-mentioned information collecting device, first, second data acquisition module all carries out traffic information collection based on mobile network, in the time gathering transport information based on mobile network, the position of the communication cell at terminal place can only be determined, the particular location at terminal place can not be further determined; Meanwhile, only, in the time that community switching has occurred terminal, just can produce terminal location handover information as switching sample information.

And can gather based on mobile network for the data of locating terminal, also can position based on mobile terminal self collection of data simultaneously, for the data that collect based on mobile network, it is more accurate that the GPS module that mobile communication terminal possesses based on self positions the locator data obtaining, therefore in order to improve the precision of location, in the specific embodiment of the invention, further obtain the 3rd data that the locating module of mobile terminal based on self gathers, offer data analysis end, make the data of the three types that described data analysis end can be based on receiving carry out traffic estimation, improve the precision of traffic estimated result.

Under this mode, the position information acquisition device described in the embodiment of the present invention also comprises:

The 3rd data of mobile communication terminal collection are sent to data analysis equally and bring in and carry out traffic estimation, can improve the accuracy that traffic is estimated.Illustrate as follows.

< example two >

Mobile terminal A can locate to gather more specific location information as the 3rd data according to GPS, and positional information now can, specific to the section at terminal A place, can only determine that than gather transport information by mobile network the communication cell at terminal A place is much accurate;

Terminal A is in same communication cell simultaneously, while driving to the second section by the first section, locate the position handover information that just can collect terminal A by GPS, carry out traffic estimation, but in the time gathering transport information based on mobile network, there is not community and switch in terminal A, causes the position handover information of data analysis termination receipts than actual occur few.

Therefore, data analysis end group carries out traffic estimation in the 3rd data that receive, and the few problem that can avoid the accuracy of information position handover information not high, that collect collecting to occur than reality, improves the accuracy that traffic is estimated.Equally, if when data analysis end receives the positional information that gathers and gather based on terminal based on mobile network of same terminal, should be as the criterion with the information based on terminal collection simultaneously.

In above-mentioned information collecting device, preferably, described model selection parameter is that described data analysis end group carries out traffic in the data that receive and estimates the traffic estimated result obtaining.

Data analysis end group carries out traffic in the data that receive and estimates to obtain traffic estimated result, the data based on receiving are carried out deterministic model selection parameter, and position information acquisition device selects at least one in running order according to model selection parameter again from the first data acquisition module, the second data acquisition module.

In running order when the first data acquisition module, switch to the in running order condition of the second data acquisition module and be:

When causing sampling number, the reasons such as traffic congestion are less than 85% of given minimum sampling number N.(being only for example here)

This handover mechanism can overcome due to very few in the driving number of users of call or networking state on section, so that efficiently sampling is counted very few, and then the adverse effect that traffic information collection precision is brought, reduce network load and power consumption of terminal solving in being difficult to obtain enough switching sample size problems under serious jam situation as far as possible.Wherein, given minimum sampling number is relevant to the degree of blocking up in category of roads, number of lanes, section.Section required sampling number in the time of freestream conditions or congestion status is less, and section is between Free-flow and congestion status time, and required sampling number is higher.Operation initial phase, can arrange the given minimum sampling number N in each section according to historical information.In service, can given minimum sampling number N be revised the traffic state information based on historical information and previous moment.

The embodiment of the present invention is with respect to existing passive type information acquiring technology, avoid because the driving number of users in call or networking state on section is when very few, cause efficiently sampling to be counted very few, and then traffic information collection precision is brought to the problem of adverse effect; With respect to the active information acquiring technology of tradition, the embodiment of the present invention has solved the problem that is difficult to obtain enough switching sample sizes under serious jam situation, has reduced network load and power consumption of terminal simultaneously as far as possible.

Suppose that described information collecting device is under default setting, the first data acquisition module is in running order, data analysis end carries out traffic estimation according to the first data that receive, in the time that on the first section, the driving number of users in call or networking state is very few, now because sampled point is very few, can not accurately reflect traffic, now select module can select to allow the second data acquisition module in running order according to model selection parameter, the mobile communication terminal of active paging on the first section, the second data that collect are sent to data analysis end, increase sampled point number, thereby effectively avoid the efficiently sampling very few adverse effect that traffic information collection precision is brought of counting.

Equally, suppose that the first data acquisition module is in running order, in the time that traffic existence is seriously blocked up, the terminal of now driving a vehicle is in a fixed position substantially, can not carry out community switching, therefore be difficult to obtain enough switching sample sizes, now select module can select to allow the second data acquisition module in running order according to model selection parameter, gather enough data by active paging mobile communication terminal and send to data analysis end, make data analysis end to obtain analysis result accurately according to enough sampled point analyses, solve the problem that is difficult to obtain enough switching sample sizes under serious jam situation.

Equally, suppose that the second data acquisition module is in running order, now traffic is more smooth and easy, and the terminal quantity in road network is enough, now, can obtain enough samples for data analysis end by the first data acquisition module, if now the second data acquisition module is in running order, select module can select the first data acquisition module, and control the first data acquisition module and close the second data acquisition module after in running order, to reduce offered load and power consumption of terminal.

Certainly, above selection module selects the strategy of data acquisition module only to illustrate, and the embodiment of the present invention is not limited to above data acquisition selection strategy.

Above-mentioned position information acquisition device, when the second data acquisition module is when in running order, if the communication terminal on a certain section is less, by active paging mobile communication terminal, the sampled point obtaining is just less, now can not accurately reflect traffic, and the embodiment of the present invention is for this problem, the preferred implementation of one that described the second data acquisition module is provided, specifically comprises:

In the time that the first section up-sampling point is less than default thresholding, determine the section, upstream in the first section according to the information of memory module record, there is the mobile communication terminal of communication event in the second section, and initiate paging to definite mobile communication terminal, gather the second data that the terminal on the second section occurs.Optimize by maintaining network the switching collection of illustrative plates that drive test obtains, for the estimation of switching point provides foundation.Section, upstream can comprise section, upstream, single order to three rank, default condition is assumed to section, single order upstream, if Paging number of users and this section effective sample are treated in section, single order upstream, the sum of counting is still less than the minimum sampling number in this section, upstream road section scope is extended to second order.Section, second order upstream is extended for the situation in three sections, upstream, rank, and the rest may be inferred.

Certainly, in specific embodiments of the invention, section selects module can also carry out based on historical traffic data the selection in section, and under this mode, described section selects module specifically to comprise:

Memory cell, adds up each section of obtaining corresponding to section, selected upstream in the same time not for storing according to historical traffic data;

Section selected cell, for behind definite current time and the first section, selects with the first section corresponding to the section, selected upstream of current time as described the second section.

This is described as follows for example.

As shown in Figure 2, the section, single order upstream of section A is section B1, B2 and B3, and the section, second order upstream of section A is section C1 and C2; Suppose according to historical traffic data and can find, 8 points in the morning, flow into the wagon flow 60% of section A from section B1, flow into the wagon flow 30% of section A from section B2, flow into the wagon flow 10% of section A from section B3, and 6 points at night flow into the wagon flow 60% of section A from section B3, flow into the wagon flow 30% of section A from section B2, flow into the wagon flow 10% of section A from section B1.

Consider that the second data acquisition module is to obtain abundant data by active paging mobile communication terminal to analyze for data analysis end, suppose and can select the quantity in section to determine, now should consider the section, upstream of the meeting inflow target section A that those vehicles can be many, to ensure collecting enough data for analyzing end analysis, under this mode, add up each section of obtaining corresponding to section, selected upstream is in the same time not as follows according to historical traffic data:

8 points in the morning, are section B1 corresponding to the selected section of section A, and 6 points are at night section B3 corresponding to the selected section of section A.

Certainly, below be only that the embodiment of the present invention can utilize historical traffic data to analyze, and obtains various statistics for example, then utilize statistics to select each section corresponding to not section, selected upstream in the same time, and for example following strategy.

Suppose 8 points in the morning, sampled point and target sampled point on the A of section only differs from 5% at present, now reasonable mode is to select section B3 next proper as described the second section, and it can either collect enough sampled points, is unlikely to again because sampled point too much causes network burden overweight.

Therefore, the embodiment of the present invention does not limit concrete upstream road selection strategy, as long as under different situations, can select suitable upstream road according to historical traffic data, make acquisition module can collect enough data for analyzing end, can be used for the embodiment of the present invention.

The embodiment of the present invention is by gathering in the section, upstream in the section that sampled point is few, and the second data that the mobile communication terminal of communication event occurs guarantee that the quantity of sampled point reaches default thresholding, has guaranteed the accuracy that traffic is estimated.Illustrate as follows.

< example three >

As shown in Figure 2, the section, upstream of section A is section B1, B2 and B3, and the section, upstream of section B2 is section C1 and C2, and therefore, the section, single order upstream of section A is section B 1, B2 and B3, and section, second order upstream is section C1 and C2.

If section A is upper there is communication event terminal only have terminal L, because communication terminal is less, cause sampled point to be less than default thresholding, that now can record according to memory module is recorded in corresponding to each section the mobile communication terminal list that communication event occurs on this section, determine single order upstream section B1, B2 and upper mobile communication terminal M, N, the Z that communication event occurs of B3 of section A, and initiate paging to terminal M, N, Z, determine the second data of terminal M, N, Z.

Now, if sampled point number reaches default thresholding, the second data of mmk terminal L, M, N, Z all send data analysis end.

Now, if sampled point number is still less than default thresholding, the second order upstream section C1 and the upper mobile communication terminal that communication event occurs of C2 that continue to determine section A, send to data analysis end by the second data of the upper terminal that communication event occurs of section A, B1, B2, B3, C1 and C2.

By that analogy.

Illustrate the course of work of above-mentioned position information acquisition device below.

< example four >

Position information acquisition device is that the first data acquisition module is in running order under default setting, driving terminal A initiates active communication in the T1 moment, now position information acquisition device determines that based on mobile network's side location technology terminal A is in communication cell L, and data transmission blocks sends to data analysis end by terminal A in the positional information of communication cell L.

When traffic congestion causes terminal A in the time that the T2 moment is through with above-mentioned active communication, still in the L of communication cell, now the first data collecting module collected is less than the positional information of terminal A, when sampling number be less than given minimum sampling number N 85% time, position information acquisition device switches to and makes the second data acquisition module in running order, active paging mobile communication terminal, now position information acquisition device determines that based on mobile network's side location technology terminal A is in communication cell L, data transmission blocks sends to data analysis end by terminal A in the positional information of communication cell X.

Said process all obtains terminal positional information based on mobile network's side location technology, position information acquisition device can be determined in T1, the more specific location information in T2 moment according to GPS location by terminal A, T1 moment terminal A is positioned at the first section of communication cell L, T2 moment terminal A is positioned at the second section of communication cell L, will send to equally data analysis end according to the positional information of terminal collection.Now data analysis end should be as the criterion with the data of terminal collection, carries out traffic behavior estimation.

A kind of traffic estimating system of the embodiment of the present invention, as shown in Figure 3, comprises a position information acquisition device and an estimation unit, and wherein, described position information acquisition device comprises:

Wherein, preferably, described traffic estimating system also comprises:

Wherein, preferably, in described traffic estimating system, described estimation unit, as shown in Figure 4, comprising:

In above-mentioned traffic estimating system, estimation unit to map, is determined geographical location information by the data-mapping receiving, and calculates traffic estimated result according to the acquisition time of geographical location information and data.Wherein receive in data except positional information, the event information that each interface is collected also comprises, occurs in the Attach event of Gb Interface, Detach event, and CS Paging; Occur in the Detach event of IuCS interface, CS Paging event, SMS mobile-originated event, SMSmobile-terminated event, Call Setup event, Connect Ack event, and Disconnect event; And occur in the Attach event of IuPS interface, Detach event, and PS paging event.

The embodiment of the present invention, in above-mentioned estimation unit, also provides described mapping block preferred implementation, specifically comprises:

After the image data receiving, should first screen the position data collecting, according to the relevant knowledge of collecting in the statistical distribution characteristic of historical data and knowledge base, rejecting has the position data of ANOMALOUS VARIATIONS pattern, the abnormal data here refers to the position data in the frequent terminal of switching of same position in the short time, or the position data of reverse movement.Illustrate as follows.

< example five >

The position data display terminal A within a short period of time of terminal A, at same position, L frequently switches, and at this moment the position data of terminal A just belongs to abnormal data, should from the data that receive, delete.

In addition, as shown in Figure 5, when the intersection of terminal A in Liang Ge community L1 and L2, determine the community at terminal A place according to the signal strength signal intensity that receives Liang Ge community, suppose terminal A in the T1 moment in community L1, the T2 moment is in community L2, the direction of the terminal of driving a vehicle A is in T1 to the T2 moment, and Shi You community L1 points to community L2, but other-end B, C, D etc. are in T1 to the T2 moment, Shi You community L2 points to community L1's, and now the position data of terminal A also belongs to abnormal data.

The 4th data are mated with map and road network topology structural information, and according to the relevant knowledge of collecting in the statistical distribution characteristic of historical data and knowledge base, the 4th data-mapping, to electronic chart, be should also be noted that to differentiation main and side road when mapping.Can, according to main and side road position data changing pattern, the terminal on the common parallel sections such as main and side road be distinguished.

Because above-mentioned estimation unit is to carry out traffic estimation according to the position data of driving terminal, in the data that collect except have driving terminal position data, also comprise the position data of non-driving terminal, the for example terminal in road peripheral cell, the terminal that pedestrian, electric motor car, motorcycle etc. are loaded with.Therefore, the estimation unit that the embodiment of the present invention provides is in the position data that the non-driving terminal of described the first mapping (enum) data filtering is collected, can be according to the relevant knowledge of collecting in the statistical distribution characteristic of historical data and knowledge base, for example non-driving location data of terminals changing pattern, carries out filtering and obtains the second mapping (enum) data.

Now, also need further described the second mapping (enum) data to be carried out to the operation that merges repeating data, obtain the 3rd mapping (enum) data.In the time that the transport information gathering based on mobile network repeats with the transport information gathering based on mobile terminal, because the information gathering based on terminal is more accurate, so retain the transport information gathering based on mobile terminal.Merge mutually with mobile network's locator data by the position data that mobile terminal is detected, simultaneously active data acquisition module and passive type data collecting module collected to position data complement one another, improved the precision of traffic parameter estimation.

Computing module, specifically for estimating according to the acquisition time of described the 3rd mapping (enum) data and the 3rd mapping (enum) data, obtains traffic estimated result.Can be according to the core algorithm of traffic behavior parameter Estimation, the related law accumulating in conjunction with position data, route matching result and the knowledge resource storehouse of Real-time Collection, estimate traffic estimated result by Probabilistic Principal Component Analysis (Probabilistic Principal Component Analysis, PPCA) algorithm.The advantage that adopts this algorithm to obtain traffic estimated result is that statistical distribution characteristic on traffic behavior parameter and periphery road section traffic volume state treat the impact of the traffic behavior of estimating section and consider simultaneously.

For to traffic behavior Parameter Variation and and the collection of positional information between relation carry out knowledge learning, preferably, described traffic estimating system also comprises:

The particular content that study module carries out knowledge learning comprises:

Pair traffic behavior Parameter Variation and and drainage pattern and the parameter setting of position data between relation carry out knowledge learning;

2. pair section, upstream Frequent Set is analyzed;

By study module can for traffic behavior parameter Estimation and main quilt be moved collection switching controls and parameter setting provides foundation; For choosing of alternative terminal in active data collection provides foundation; For the filtering of non-driving terminal provides foundation; For abnormal data filtering provides foundation.Further, the knowledge Input knowledge resources bank that study module can be learnt, realizes the accumulation of relevant knowledge and constantly perfect.

Certainly, above-mentioned study module can arrange separately, also can be separated into multiple submodules and be distributed in above-mentioned modules, in the memory cell that section is selected to arrange in module as the aforementioned, is provided with unit.

The embodiment of the present invention also provides a kind of functional entity of traffic estimating system, as shown in Figure 6, comprising:

Placement data acquisition module, is used to traffic to estimate to provide data source;

Data analysis module, for carrying out traffic estimation according to the data of placement data acquisition module collection;

Data resource library module, formed by structurized knowledge information, it is the moving foundation that gathers switching controls and parameter setting of traffic behavior parameter Estimation and main quilt, operator or third party technology supporting provider by this motion traffic information acquisition system manage and safeguard, comprise: section, upstream Frequent Set analysis result, the position data pattern of the travelling carriage that pedestrian, electric motor car, motorcycle etc. are loaded with, the ANOMALOUS VARIATIONS pattern of position data, traffic behavior Parameter Variation and and the drainage pattern of position data and the parameter relation between arranging etc. thereof.

In the functional entity of above-mentioned traffic estimating system, placement data acquisition module specifically comprises:

Mobile terminal data acquisition module, the 3rd data acquisition module of mentioning before, for completing the 3rd data acquisition based on mobile terminal;

Mobile network data acquisition module, for completing the placement data acquisition based on mobile network, specifically comprises:

Passive type data acquisition module, the first data acquisition module of mentioning before, for initiate the process of active communication at mobile communication terminal, for example converse, when the communication event such as short message receiving-transmitting, position renewal, gather the first data of described mobile communication terminal based on mobile network's side location technology;

Active data acquisition module, the second data acquisition module of mentioning before, for passing through active paging mobile communication terminal, and gather based on described mobile network's side location technology the second data that described mobile communication terminal occurs based on described paging, be mainly to force passback location in the insufficient region of fractional sample amount, reduce network load and power consumption of terminal solving in being difficult to obtain enough switching sample size problems under serious jam situation as far as possible;

Data acquisition scheme selects module and data acquisition parameters that module is set, the selection module of mentioning before, for selecting at least one according to a model selection parameter from described the first data acquisition module and described the second data acquisition module, and it is in running order to control selecteed data acquisition module, be specially the traffic state information (as shown in information flow 101) of estimating the upper moment obtaining according to traffic behavior parameter Estimation module, the traffic behavior Parameter Variation of knowledge base accumulation and and the drainage pattern of position data and parameter thereof the relation between arranging, implement active, passive type data acquisition scheme switching controls and data acquisition parameters setting.

Wherein, active data acquisition module also comprises:

Section, upstream list maintenance module and alternative terminal list maintenance module, be used for recording a controlling of sampling parameter, be recorded in corresponding to each section the mobile communication terminal list that communication event occurs on this section simultaneously, be specially and safeguard that active data gathers the section list of needed upstream and alternative terminal list, its middle and upper reaches section list is upgraded according to section, the upstream Frequent Set of knowledge base accumulation, and the terminal of the communication events such as converse in the section of alternative terminal list foundation in the list of section, upstream, short message receiving-transmitting, position renewal generates.

In the functional entity of above-mentioned traffic estimating system, wherein data analysis module specifically comprises:

Computing module, for passing through Probabilistic Principal Component Analysis (Probabilistic Principal ComponentAnalysis, PPCA) algorithm is estimated the estimated value of traffic behavior parameter, and the advantage of this algorithm is that statistical distribution characteristic on traffic behavior parameter and periphery road section traffic volume state treat the impact of the traffic behavior of estimating section and consider simultaneously;

Knowledge learning module, for to traffic behavior Parameter Variation and and drainage pattern and the parameter setting of position data between relation carry out knowledge learning, gather for traffic behavior parameter Estimation and main quilt are moving switching controls and parameter setting provide according to etc., the knowledge Input knowledge resources bank that this modules learn arrives, realizes the accumulation of relevant knowledge and constantly perfect;

Data compressing module.

Mapping block wherein comprises:

The 3rd pretreatment unit, for described the second mapping (enum) data is carried out to the operation that merges repeating data, obtains the 3rd mapping (enum) data.

The functional entity that the embodiment of the present invention provides moves hybrid terminal positional information image data by main quilt, carries out traffic estimation; Can all gather CS territory (circuit commutative field) and PS territory (packet-switched domain) data, by the Gb Interface between core net SGSN and BSC, IuPS interface, and the positional information of IuCS interface acquisition terminal between MSC and RNC; Switch collection of illustrative plates as reference taking drive test for network optimization, the handover information based on user improves customer position information estimated accuracy; Switch to the acquisition scheme of obtaining transport information by active Paging terminal for the region that meets specified criteria, overcome due to very few in the driving number of users of call or networking state on section, so that efficiently sampling is counted very few, and then the adverse effect that traffic information collection precision is brought, be difficult to obtain enough switching sample size problems under serious jam situation solving, reduce network load and power consumption of terminal simultaneously as far as possible; The positional information that mobile terminal is detected merges mutually with above-mentioned mobile network's locator data, further improves positional information sample size and sample precision thereof; The user's continually varying positional information and the route matching result that collect based on mobile network and mobile terminal, based on knowledge resource storehouse, section traffic flow modes parameter is estimated, and to traffic behavior Parameter Variation and and the collection of positional information between relation carry out knowledge learning, the resources bank of further refreshing one's knowledge; Simultaneously, according to estimating speed information, abnormal traffic state to section detects, so according to traffic behavior parameter Estimation and and the collection of positional information between the knowledge accumulation of relation, upgrade the parameter setting such as minimum sampling number, sample frequency in section.

The embodiment of the present invention also provides a kind of positional information acquisition method, is used to traffic to estimate to provide data source, and as shown in Figure 7, described positional information acquisition method comprises:

Step 71, initiates, in the process of active communication, to gather the first data of described mobile communication terminal based on mobile network's side location technology at mobile communication terminal;

Step 72, by active paging mobile communication terminal, and gathers based on described mobile network's side location technology the second data that described mobile communication terminal occurs based on described paging;

Step 73, selects at least one according to a model selection parameter from gathering described the first data and gathering described the second data, and it is in running order to control the step of selecteed image data;

Step 74, the data that in running order data acquisition step is collected send to data analysis end, make data analysis end to carry out traffic estimation based on the data that receive.

Gather the 3rd data from described mobile communication terminal;

The described data that in running order data acquisition step is collected send to data analysis end, make data analysis end can based on the data that receive carry out traffic estimation also comprise by gather the 3rd data send to described data analysis end, make described data analysis end to carry out traffic estimation based on the data that receive.

Be recorded in corresponding to each section the mobile communication terminal list that communication event occurs on this section according to what record, determine the mobile communication terminal that communication event occurs in the second section, and initiate paging to definite mobile communication terminal; Described the second section is the section, upstream that sampled point quantity is less than the first section of default thresholding;

To achieve these goals, the embodiment of the present invention also provides a kind of traffic condition estimation method, and for a traffic estimating system, as shown in Figure 8, described traffic condition estimation method comprises:

Step 81, initiates, in the process of active communication, to gather the first data of described mobile communication terminal based on mobile network's side location technology at mobile communication terminal;

Step 82, by active paging mobile communication terminal, and gathers based on described mobile network's side location technology the second data that described mobile communication terminal occurs based on described paging;

Step 83, select at least one, and it is in running order to control selecteed image data step according to a model selection parameter from the step of described collection the first data and described collection the second data;

Step 84, carries out traffic estimation according to the data of in running order image data step collection, obtains a traffic estimated result.

Gather the 3rd data from described mobile communication terminal;

The above is only the preferred embodiment of the present invention; it should be pointed out that for those skilled in the art, under the premise without departing from the principles of the invention; can also make some improvements and modifications, these improvements and modifications also should be considered as protection scope of the present invention.

Claims

1. a position information acquisition device, is used to traffic to estimate to provide data source, it is characterized in that, described position information acquisition device comprises:

2. position information acquisition device according to claim 1, is characterized in that, also comprises:

3. position information acquisition device according to claim 1, is characterized in that, described model selection parameter is that described data analysis end group carries out traffic in the data that receive and estimates the traffic estimated result obtaining.

4. position information acquisition device according to claim 1, is characterized in that, described the second data acquisition module specifically comprises:

5. position information acquisition device according to claim 4, is characterized in that, described section selects module specifically to comprise:

6. a traffic estimating system, comprises a position information acquisition device and an estimation unit, it is characterized in that, described position information acquisition device comprises:

7. traffic estimating system according to claim 6, is characterized in that, also comprises:

8. traffic estimating system according to claim 6, is characterized in that, described model selection parameter is that described estimation unit carries out traffic based on the data that receive and estimates the traffic estimated result obtaining.

9. traffic estimating system according to claim 6, is characterized in that, described the second data acquisition module specifically comprises:

10. traffic estimating system according to claim 6, is characterized in that, described section selects module specifically to comprise:

11. according to the traffic estimating system described in any one in claim 6-10, it is characterized in that, described estimation unit comprises:

12. traffic estimating systems according to claim 11, is characterized in that, described mapping block specifically comprises:

13. traffic estimating systems according to claim 11, is characterized in that, also comprise:

14. 1 kinds of positional information acquisition methods, are used to traffic to estimate to provide data source, it is characterized in that, described positional information acquisition method comprises:

15. positional information acquisition methods according to claim 14, is characterized in that, also comprise:

Gather the 3rd data from described mobile communication terminal;

16. positional information acquisition methods according to claim 14, is characterized in that, described model selection parameter is that described data analysis end group carries out traffic in the data that receive and estimates the traffic estimated result obtaining.

17. positional information acquisition methods according to claim 14, it is characterized in that, described by active paging mobile communication terminal, and gather based on described mobile network's side location technology the second data that described mobile communication terminal occurs based on described paging and specifically comprise:

18. positional information acquisition methods according to claim 14, is characterized in that, describedly from sampled point quantity is less than the section, upstream in the first section of default thresholding, select the second section specifically to comprise:

Storage is added up each section of obtaining corresponding to section, selected upstream in the same time not according to historical traffic data;

Behind definite current time and the first section, select with the first section corresponding to the section, selected upstream of current time as described the second section.

19. 1 kinds of traffic condition estimation methods, for a traffic estimating system, is characterized in that, described traffic condition estimation method comprises:

20. traffic condition estimation methods according to claim 19, is characterized in that, also comprise:

Gather the 3rd data from described mobile communication terminal;

21. traffic condition estimation methods according to claim 19, is characterized in that, described model selection parameter is to carry out traffic based on the data that collect to estimate the traffic estimated result obtaining.

22. traffic condition estimation methods according to claim 19, it is characterized in that, described by active paging mobile communication terminal, and gather based on described mobile network's side location technology the second data that described mobile communication terminal occurs based on described paging and specifically comprise:

Determine the mobile communication terminal that communication event occurs in the second section according to the information of record, and initiate paging to definite mobile communication terminal;

23. traffic condition estimation methods according to claim 22, is characterized in that, from sampled point quantity is less than the section, upstream in the first section of default thresholding, select the second section specifically to comprise:

24. according to the traffic condition estimation method described in any one in claim 19-23, it is characterized in that, the described data according in running order data acquisition step collection are carried out traffic estimation, obtain traffic estimated result and specifically comprise:

25. traffic condition estimation methods according to claim 24, is characterized in that, described the data that collect are carried out to map operation, obtain geographical location information corresponding to data point and specifically comprise:

26. traffic condition estimation methods according to claim 24, is characterized in that, also comprise: