CN202102605U - Vehicle position data acquisition processing system - Google Patents
Vehicle position data acquisition processing system Download PDFInfo
- Publication number
- CN202102605U CN202102605U CN2011202001138U CN201120200113U CN202102605U CN 202102605 U CN202102605 U CN 202102605U CN 2011202001138 U CN2011202001138 U CN 2011202001138U CN 201120200113 U CN201120200113 U CN 201120200113U CN 202102605 U CN202102605 U CN 202102605U
- Authority
- CN
- China
- Prior art keywords
- data
- data acquisition
- vehicle position
- module
- processing system
- 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.)
- Expired - Lifetime
Links
Images
Abstract
The utility model discloses a vehicle position data acquisition processing system, comprising a data acquisition module used for obtaining, correcting and compressing vehicle position data, and a data fusion module used for receiving and decompressing data transmitted by the data acquisition module, wherein the data acquisition module is connected with and transmits data to the data fusion module through a communication network. The vehicle position data acquisition processing system has the beneficial effects of reducing network data transmission amount, eliminating position drift and various errors, bringing high precision, reducing investment quantity of data acquisition sample vehicles and bringing high density and high coverage.
Description
Technical field
The utility model relates to automobile mounted field of network communication, relates in particular to a kind of vehicle position data acquisition processing system.
Background technology
Be accompanied by Chinese Automobile Industry ' development, all kinds of automobile quantity increase gradually, and the road traffic in city especially big and medium-sized cities has been produced influence, the extensive attention of real-time road issue causing based on the city that brings thus.The real-time road Data Acquisition mainly is the magnanimity statistics through the vehicle location translational speed.Consider that from the angle of cost and investment repayment the main mode of present domestic acquisition road condition data is based on " vehicle data that floats (FloatingCar Data, FCD) ".This technical approach mainly is to wait the information of collecting location point, car speed through the industry vehicle, the private vehicle that constantly move of real-time distribution in the city.Be transmitted through the network to the business datum center, this category information is gathered fusion, issue out urban real-time road condition information based on this.
Based on this type of technical literature for example: a kind of urban road wagon flow speed estimation algorithms based on FCD, based on these technical market existing procucts as: the FCD traffic information acquisition system sees also Fig. 1, and is described below:
The acquisition mode core technology of floating car data is exactly GPS location point, the acquisition time that obtains according to gap periods, calculates the position translational speed, compiles in view of the above to be road conditions information.This data sample acquisition mode is by following subject matters:
1, the position is collected and is based on " point (GPS location point) " sample, therefore needs frequent data sink that " point " sample information is reported to concentrate the heart, causes network bandwidth volume of transmitted data big;
2, the position is collected and is based on " point (GPS location point) " sample, owing to the reasons such as high constructure refraction in city, causes the GPS position to produce error (GPS position excursion), and data are compiled accuracy has certain influence;
3, the position is collected and is based on " point (GPS location point) " sample, for sample collection amount certain requirement is arranged, and needs a considerable amount of vehicles to cooperate.For example " FCD traffic information acquisition system ": quantity is inserted in single module maximum data source: 30000;
4, gathered data information in position is limited, the collection of floating current car data mainly be the GPS location point, gather the time of GPS location point or the car speed that calculates according to the above two;
Based on above problem, the cost that existing " floating car data " acquisition system is disposed needs a considerable amount of " sample collection cars " to cooperate than higher, and the real-time road condition information of issue is not very accurate thus in addition.
The utility model content
The purpose of the utility model just is to provide a kind of double source distributed vehicle position data acquisition system, and it is big to solve existing network bandwidth data transmission amount, has the coarse problems of image data such as error.
For solving the problems of the technologies described above, the utility model adopts following technical scheme:
A kind of vehicle position data acquisition processing system, it comprises:
A kind of vehicle position data acquisition processing system is characterized in that, said vehicle position data acquisition processing system comprises: be used to obtain vehicle position data, and the data acquisition module of revising and compressing; And the data that are used to receive the data acquisition module transmission, and the data fusion module that decompresses.Connect and data transmission through communication network between said data acquisition module and the data fusion module.
The utility model on the other hand; Said system also comprises pre-processing module; Said pre-processing module respectively with data acquisition module, data fusion module connects, said data acquisition module can be carried out pre-processing module before data fusion module transmission vehicle position data.
Another embodiment of the utility model, said data acquisition module comprise that sampling analysis filter element, map vector software unit, data sample merge dilution unit and data sample format compressed unit.
Another embodiment of the utility model, said data fusion module comprise data sample form reduction unit and data fusion storage unit.
The beneficial effect of the utility model is:
Solved the big problem of transmitted data on network amount of prior art " point (GPS location point) sample ", the variation through data content has reduced the network data transmission amount;
Solved the position excursion problem of " point (GPS location point) sample ", eliminated position excursion and all kinds of error, brought high precision through the mode of " section sample ";
Solved the big problem of sample size requirements, the mode through " section sample " has reduced the input quantity of data being gathered the sample car, has brought high density and high coverage;
Value added data except that GPS location point, position acquisition time, car speed is provided, comprises: road information, belisha beacon information etc.
Description of drawings
Fig. 1 is the concrete synoptic diagram of prior art floating car data acquisition system.
Fig. 2 is the utility model vehicle position data acquisition processing system one embodiment module diagram.
Fig. 3 is the concrete synoptic diagram of the utility model vehicle position data acquisition processing system shown in Figure 2.
Fig. 4 is the utility model vehicle position data acquiring and processing method one embodiment schematic flow sheet.
Fig. 5 is data acquisition module 11 data acquisition frequency synoptic diagram shown in Figure 2.
Fig. 6 is the synoptic diagram of data acquisition module 11 data sample format compressed shown in Figure 2.
Fig. 7 is the synoptic diagram of data fusion module 12 data sample forms reduction shown in Figure 2.
Embodiment
Specify the preferred embodiment of the utility model below in conjunction with accompanying drawing.
The technological thought of the utility model is:
The front-end equipment of data acquisition has carried out the adjustment on the data acquisition modes in architectural framework;
Network data transmission has been carried out the adjustment on the data layout in architectural framework;
The adjustment on the data processing method has been carried out at the Back end data center of data acquisition in architectural framework.
See also Fig. 2 and Fig. 3, Fig. 2 is the utility model vehicle position data acquisition processing system one embodiment synoptic diagram, and Fig. 3 is the concrete synoptic diagram of the utility model vehicle position data acquisition processing system shown in Figure 2.
The utility model vehicle position data acquisition processing system, it comprises: data acquisition module 11 and data fusion module 12.Connect and data transmission through communication network between said data acquisition module 11 and the data fusion module 12,, and, be transferred to data fusion module 12 through network by data acquisition module 11 collection vehicle position datas.In the specific descriptions of present embodiment, vehicle position data can be described as GPS position data or GPS positional information.
The method that above-mentioned vehicle position data acquisition processing system is corresponding is described below:
See also Fig. 4, a kind of vehicle position data acquiring and processing method, it comprises:
Step S1: the sampling analysis filter element, data acquisition module 11, the floating car data acquisition mode of comparing prior art has carried out the adjustment of collection frequency.
Particularly, data acquisition module 11 obtains vehicle position data time interval or be the GPS position time interval specifically through dwindling software, from standard 30 seconds/inferior increase to 5 seconds/inferior.The time of obtaining the GPS position shortens, and produces the vehicle location that degree of accuracy is high, density is big and gathers sample data, sees also Fig. 5.
Step S2: map vector software unit, data acquisition module 11 is gathering on the frequency raising basis, and is auxiliary with built-in map vector software package, and designed vehicle position data pretreatment software bag, and the GPS positional information of gathering is adjusted, revised.
Incidental problem during floating car datas such as particularly, data acquisition module 11 is auxiliary with built-in map vector, can carry out verification to the GPS position data of gathering, and correction position is drifted about, turn around in the crossing are gathered.
Be the processing that the GPS positional information of more clearly explaining 11 pairs of collections of data acquisition module is adjusted, revised, the spy is described below:
A) position excursion
Because city middle-high building thing reflection problems causes GPS location point 2 to make a mistake, produce position excursion.Under existing floating car data acquisition mode, GPS location point 2 will upload to the data collection center as an active data sample; And in the accurate formula vehicle position data acquisition volume architecture in the front end data acquisition; Can cooperate built-in map vector software package, carry out position and velocity analysis, thereby find that this GPS location point 2 belongs to unusual image data point; Carry out error correction; Through data dilutions, keep effective location point GPS1 and GPS3, thereby correctly be reflected in the data such as effective vehicle location and travel speed in this highway section.
B) turn around in the crossing
When gathering based on floating car data; Run into when in the normal vehicle operation turn around in the crossing; There is identical GPS position coordinates in twice data sample that can occur uploading, and data collection center meeting error analysis this moment is stored as these highway section road conditions and blocks up, and vehicle not occurrence positions moves.And in the accurate formula vehicle position data acquisition volume architecture in the front end data acquisition; Through the big sample data collection of frequency; Cooperate built-in map vector software package simultaneously, carry out position, speed and offset analyses, draw GPS position 2 and be opposite direction with respect to the side-play amount of GPS position 1 generation longitude and latitude; Be uploaded to the data collection center and can correct analysis be stored as these road conditions for normal, vehicle occurrence positions moves.
Further, the data sample transmission mode just is uploaded to rear end, data collection center with the data sample of floating car data front-end collection with raw mode in the prior art floating car data architecture, does not do any data layout and contents processing; And in the utility model vehicle position data acquisition processing system, also comprise pre-processing module, before data fusion module 12 transmission vehicle position datas, can carry out pre-processing module at data acquisition module 11.
Step S3: data acquisition module 11 carries out data sample to the vehicle position data of collecting and merges dilution unit and data sample format compressed unit before data fusion module 12 transmission vehicle position datas.Specific as follows said:
1, data sample merges dilution unit: data acquisition module 11 can combine map vector to the vehicle position data that period is collected, and vehicle position data is carried out being the Rule of judgment of standard based on speed, distance.Through vehicle position data being carried out eliminate data sample repetition, mistake, guarantee the accuracy and the density property of data sample to have lowered the network data transmission amount simultaneously with this processing mode with the dilution of the scope of max-thresholds and minimum threshold.
2, data sample format compressed unit: 11 pairs of vehicle position datas of data acquisition module adopt and compress according to Bit position mode in the utility model vehicle position data acquisition processing system; Frequency based on transmission is 120 seconds, and the single transmission inner capacities comprises position, skew and traffic information.Employing is shortened volume of transmitted data according to Bit position mode, sees also Fig. 6.
Fig. 6 is the part intercepting of vehicle position data transmission in the utility model vehicle position data acquisition processing system, through Bit position compress mode, has reduced unnecessary bytes (1Byte=8Bits) waste, has reduced the network data transmission flow.
Need analyze with correction with data collection center in the prior art floating car data architecture and to compare; The utility model vehicle position data acquisition processing system is handled at the data sampling front end, has therefore reduced the workload of its rear end counting statistics significantly.Data fusion module 12 is accomplished the reduction of data sample form, the data fusion store operational that Network Transmission is come in the utility model vehicle position data acquisition processing system.
Step S4, data fusion module 12 receive the data of data acquisition module 11 transmission, go forward side by side line data sample format reduction unit and data fusion storage unit.Specific as follows said:
1, data sample form reduction unit: data fusion module 12 receives transmitted data on network Bit stream through separate threads, according to the network transmission protocol at front end and Back end data center, data Bit stream is decompressed, and is reduced to the normal data sample, sees also Fig. 7.
2, data fusion storage unit: " section sample " data that data fusion module 12 will reduce are according to the mapping that superposes of map vector position; Through " section sample " data similarity analysis in the position range, obtain effective value of road conditions in this map location scope.
The utility model has solved the big problem of transmitted data on network amount of prior art " point (GPS location point) sample ", and the variation through data content has reduced the network data transmission amount; Solved the position excursion problem of " point (GPS location point) sample ", eliminated position excursion and all kinds of error, brought high precision through the mode of " section sample "; Solved the big problem of sample size requirements, the mode through " section sample " has reduced the input quantity of data being gathered the sample car, has brought high density and high coverage; Value added data except that GPS location point, position acquisition time, car speed is provided, comprises: road information, belisha beacon information etc.
Here description of the utility model and application is illustrative, is not to want the scope of the utility model is limited in the above-described embodiments.Here the distortion of the embodiment that is disclosed and change are possible, and the replacement of embodiment is known with the various parts of equivalence for those those of ordinary skill in the art.Those skilled in the art are noted that under the situation of spirit that does not break away from the utility model or essential characteristic, and the utility model can be with other form, structure, layout, ratio, and realize with other assembly, material and parts.Under the situation that does not break away from the utility model scope and spirit, can carry out other distortion and change here to the embodiment that is disclosed.
Claims (4)
1. a vehicle position data acquisition processing system is characterized in that, said vehicle position data acquisition processing system comprises:
Be used to obtain vehicle position data, and the data acquisition module of revising and compressing; And
Be used to receive the data of data acquisition module transmission, and the data fusion module that decompresses,
Connect and data transmission through communication network between wherein said data acquisition module and the data fusion module.
2. vehicle position data acquisition processing system according to claim 1; It is characterized in that; Said system also comprises pre-processing module; Said pre-processing module respectively with data acquisition module, data fusion module connects and data transmission through communication network, said data acquisition module can be carried out pre-processing module before data fusion module transmission vehicle position data.
3. vehicle position data acquisition processing system according to claim 1 and 2,
It is characterized in that said data acquisition module comprises that sampling analysis filter element, map vector software unit, data sample merge dilution unit and data sample format compressed unit.
4. vehicle position data acquisition processing system according to claim 1 and 2,
It is characterized in that said data fusion module comprises data sample form reduction unit and data fusion storage unit.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN2011202001138U CN202102605U (en) | 2011-06-14 | 2011-06-14 | Vehicle position data acquisition processing system |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN2011202001138U CN202102605U (en) | 2011-06-14 | 2011-06-14 | Vehicle position data acquisition processing system |
Publications (1)
| Publication Number | Publication Date |
|---|---|
| CN202102605U true CN202102605U (en) | 2012-01-04 |
Family
ID=45388609
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN2011202001138U Expired - Lifetime CN202102605U (en) | 2011-06-14 | 2011-06-14 | Vehicle position data acquisition processing system |
Country Status (1)
| Country | Link |
|---|---|
| CN (1) | CN202102605U (en) |
-
2011
- 2011-06-14 CN CN2011202001138U patent/CN202102605U/en not_active Expired - Lifetime
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| CN102254431B (en) | Vehicle position data acquiring and processing method and system | |
| CN104008656A (en) | Intelligent traffic light system | |
| CN102324017B (en) | FPGA (Field Programmable Gate Array)-based lane line detection method | |
| CN205003293U (en) | Towards on -vehicle high accuracy position terminal | |
| CN102708689B (en) | Real-time traffic monitoring system | |
| CN204463447U (en) | A kind of controlling system of traffic light based on GSM and ARM | |
| CN114399900B (en) | Smart city traffic management system and method based on remote sensing technology | |
| CN102109351A (en) | Laser gyro POS (Point of Sales) data acquisition and pre-processing system | |
| CN103794061A (en) | Method for calculating road fused travel speed based on various positioning data | |
| CN102982686A (en) | Traffic green wave dynamic adjusting system and method based on travel time of floating vehicles | |
| CN102768797B (en) | A kind of urban road condition information evaluation method and device | |
| CN105096590A (en) | Traffic information generation method and device | |
| CN103476044A (en) | Position information calibration method and apparatus thereof | |
| JP2023078053A (en) | Device and method for developing mode with combination of gradient and velocity | |
| CN203217359U (en) | Grain condition wireless measurement and control system applicable to large-scale grain bin | |
| CN202102605U (en) | Vehicle position data acquisition processing system | |
| CN202694579U (en) | Dynamic control system for traffic signal lamp | |
| CN106066486B (en) | Vehicle position information compression acquisition method, terminal and system | |
| CN108986144A (en) | A kind of vehicle identification method for tracing, system and device based on ARM and FPGA | |
| CN202916993U (en) | GIS-based road live-action image and pavement image acquiring device | |
| CN105654745A (en) | Real-time traffic flow monitoring method based on intelligent handset | |
| CN204331855U (en) | Intelligent travelling crane register system | |
| CN202904889U (en) | Traffic green wave dynamic adjusting system based on floating vehicle travel time | |
| CN105721267A (en) | Internet of Things intelligent terminal gateway device | |
| CN202102592U (en) | Double-source distributed vehicle location data collection system |
Legal Events
| Date | Code | Title | Description |
|---|---|---|---|
| C14 | Grant of patent or utility model | ||
| GR01 | Patent grant | ||
| C56 | Change in the name or address of the patentee |
Owner name: SHANGHAI RAXTONE SOFTWARE CO., LTD. Free format text: FORMER NAME: SHANGHAI LEITENG SOFTWARE CO.,LTD. |
|
| CP01 | Change in the name or title of a patent holder |
Address after: 201203, room 2, building 88, 603 Darwin Road, Zhangjiang hi tech park, Shanghai, Pudong New Area Patentee after: Shanghai Lei Teng software limited company Address before: 201203, room 2, building 88, 603 Darwin Road, Zhangjiang hi tech park, Shanghai, Pudong New Area Patentee before: Shanghai Leiteng Software Co.,Ltd. |
|
| CX01 | Expiry of patent term | ||
| CX01 | Expiry of patent term |
Granted publication date: 20120104 |