CN101794510A - Data processing method and device of floating cars - Google Patents
Data processing method and device of floating cars Download PDFInfo
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- CN101794510A CN101794510A CN200910244146A CN200910244146A CN101794510A CN 101794510 A CN101794510 A CN 101794510A CN 200910244146 A CN200910244146 A CN 200910244146A CN 200910244146 A CN200910244146 A CN 200910244146A CN 101794510 A CN101794510 A CN 101794510A
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Abstract
The invention discloses a data processing method and a device of floating cars, relates to the field of intelligent transportation and aims at obtaining the quantity and the scale of data of the floating cars of a city or a region. The data processing method of the floating cars comprises the following steps: setting the pre-stored historical data of the floating cars into groups according to the preset cycles; traversing each group of the data and obtaining the specific vehicle number of the floating cars and the record number of each cycle; and obtaining the quantity and the scale of the vehicle number of the floating cars and the record number according to the specific vehicle number of the floating cars and the record number of each cycle. The invention further discloses a data processing device of the floating cars. The method and the device can be used in the technologies of the floating cars.
Description
Technical field
The present invention relates to intelligent transportation field, relate in particular to the method and apparatus that a kind of floating car data is handled.
Background technology
At intelligent transportation field, real-time and dynamic traffic-information service can provide line circuit planning and traffic guidance easily for people's trip, thereby reaches purposes such as saving line time, raising time availability, saving energy resource consumption.
The Floating Car technology is one of means of storage Traffic Information in the international in recent years intelligent transportation system, its ultimate principle is: according to the numbering of Floating Car vehicle of periodic logging in its driving process of equipping vehicle-bone global positioning system, timestamp, position coordinates, direction and speed, information such as state, use map match, computation model and algorithm that path culculatings etc. are relevant are handled, Floating Car position data and urban road are associated on time and space, finally obtain the Vehicle Speed of road that Floating Car is passed through, information such as the driving hourage of road and congestion in road degree.If in the city, dispose the Floating Car of sufficient amount, and the position data of these Floating Car is transferred to a Floating Car information handling system regularly, in real time by wireless telecommunication system, by the overall treatment of Floating Car Real-time Traffic Information disposal system, just can obtain dynamic, the real-time traffic congestion information of entire city.
For guaranteeing the accuracy of relevant informations such as vehicle journeys speed, road travel time and congestion in road degree, Floating Car Real-time Traffic Information disposal system need be carried out the evaluation of validity to floating car data to be processed before handling (correlation model and algorithms such as map match, path culculating) floating car data in real time; Estimate institute's floating car data to be processed and spatially go up accuracy and continuity, provide effective input data, the accuracy of the Vehicle Speed after guaranteeing to calculate, road travel hourage etc. for handling in real time with the time.Floating current car Real-time Traffic Information disposal system is to the processing of floating car data, just before map match, carry out the pretreated operation of data, local abnormal data is just rejected in the data pre-service, information of vehicles etc. once only appears as the longitude and latitude mistake, within collection period, use relevant computation model and algorithm such as map match, path culculating afterwards and handle, obtain dynamic, the real-time traffic congestion information of entire city.
But, though the pre-service of floating car data can guarantee floating car data to a certain extent and spatially go up accuracy and continuity with the time, but, the pre-service of Floating Car can't judge whether the quantity size of floating car data satisfies the processing requirements of Floating Car Real-time Traffic Information disposal system, for example the data volume of Fu Gaiing after a little while, even guaranteed the accuracy and the continuity of floating car data, the Traffic Information of handling the back acquisition through the Floating Car information handling system also may be inaccurate.Therefore, in order to bring into play the positive role of Floating Car technology greatly, the accuracy of the traffic relevant information that assurance obtains after the Real-time Traffic Information disposal system is handled, before formal foundation of Floating Car Real-time Traffic Information disposal system or operation, should obtain and judge whether the quantity size of floating car data satisfies the requirement of Floating Car information handling system.
Summary of the invention
Embodiments of the invention provide a kind of method of floating car data processing, can access the quantity size of the floating car data in this city or area.
For achieving the above object, embodiments of the invention adopt following technical scheme:
The method that a kind of floating car data is handled comprises:
The pre-stored historical floating car data is provided with grouping by the cycle of presetting;
Travel through every group of data and obtain concrete Floating Car vehicle number and record number of each cycle;
Floating Car vehicle number and the record number concrete according to each cycle obtain Floating Car vehicle number and the quantity size that writes down number.
After adopting technique scheme, the method that a kind of floating car data that the embodiment of the invention provides is handled can access the quantity size of the floating car data in this city or area.The result who obtains according to this method, by analysis, can judge exactly that can the floating car data in this city or area satisfy the requirement of Floating Car Real-time Traffic Information disposal system, the accuracy of the traffic relevant information that assurance obtains after the Real-time Traffic Information disposal system is handled is brought into play the positive role of Floating Car technology greatly.
Correspondingly, embodiments of the invention also provide a kind of device of floating car data processing, can access the quantity size of the floating car data in this city or area.
For achieving the above object, embodiments of the invention adopt following technical scheme:
The device that a kind of floating car data is handled comprises:
Data storage cell is used to store floating car data;
Data processing unit is used for the pre-stored historical floating car data is provided with the quantity size that grouping, every group of data of traversal obtain concrete Floating Car vehicle number of each cycle and record number, obtain Floating Car vehicle number and record number according to concrete Floating Car vehicle number of each cycle and record number by the cycle of presetting.
After adopting technique scheme, the device that a kind of floating car data that the embodiment of the invention provides is handled can access the quantity size of the floating car data in this city or area.Result by this device, by analysis, can judge exactly that can the floating car data in this city or area satisfy the requirement of Floating Car Real-time Traffic Information disposal system, the accuracy of the traffic relevant information that assurance obtains after the Real-time Traffic Information disposal system is handled is brought into play the positive role of Floating Car technology greatly.
Description of drawings
Fig. 1 is the process flow diagram of the method for floating car data processing of the present invention;
Fig. 2 is the changing trend diagram of Floating Car record number;
Fig. 3 is the changing trend diagram of Floating Car vehicle number;
Fig. 4 is the structured flowchart of the device of floating car data processing of the present invention.
Embodiment
Below in conjunction with accompanying drawing embodiments of the present invention are described in detail.
Because the quantity of the Floating Car in city or area is a stable quantity in long period, therefore the quantity size of the floating car data in every day or the some cycles is similar with variation tendency, the front and back of i.e. formal foundation of the Real-time Traffic Information disposal system in this city or area or operation, the scale of floating car data and variation tendency are basically identicals, therefore only need the Real-time Traffic Information disposal system in this city or area formal set up or operation before, obtain and processing requirements that whether quantity size of judging the floating car data in this city or area satisfies Floating Car Real-time Traffic Information disposal system gets final product.
The method that a kind of floating car data that embodiments of the invention provide is handled, process flow diagram as shown in Figure 1 may further comprise the steps:
S11 is provided with grouping with the pre-stored historical floating car data by the cycle of presetting.
In order to access the quantity size of floating car data in this city or area, at first to store at least one day the historical floating car data in this city or area, stored five days historical floating car data in the present embodiment from May 11st, 2009 to May 15.Transfer in advance the floating car data of storage, and grouping is set according to the cycle of presetting.Because floating current car Real-time Traffic Information disposal system when operation, general in the world main flow processing mode be according to timestamp from 00:00, received also in five minutes and to handle floating car data once, part manufacturer has also released three minutes processing mode at present.Therefore, cycle of presetting is provided with and is generally: according to timestamp from 00:00, per five minutes for one-period or according to timestamp from 00:00, per three minutes is one-period.Be understandable that according to the processing mode of different Floating Car Real-time Traffic Information disposal systems, the method that Floating Car of the present invention is handled can be cut apart according to the cycle that the different timestamps and the time interval are carried out historical floating car data neatly.From 00:00, per five minutes is one-period to 5 days historical floating car data will storing in advance in the present embodiment according to timestamp, with the historical floating car data of every day according to timestamp 00:00,00:05 ..., 23:50,23:55 be divided into 288 groups.
S12 travels through every group of data and obtains concrete Floating Car vehicle number and record number of each cycle.
Every group of data of dividing by the cycle in the traversal S11 step are added up the quantity of the Floating Car that occurs in each cycle and the record number of passing back, obtain concrete Floating Car vehicle number and record number of each cycle.
S13, Floating Car vehicle number and the record number concrete according to each cycle obtain Floating Car vehicle number and the quantity size that writes down number.
In the present embodiment, the S13 step is specially: Floating Car vehicle number and the record number concrete according to each cycle generate Floating Car vehicle number and the time dependent changing trend diagram that writes down number, draw the quantity size of Floating Car vehicle number and record number according to changing trend diagram.The Floating Car that Fig. 2 and Fig. 3 are respectively present embodiment writes down the changing trend diagram of number and the changing trend diagram of Floating Car vehicle number.Wherein, shown in changing trend diagram transverse axis for from May 15,11 days to 2009 May in 2009 be the time shaft of a unit with each cycle, the longitudinal axis is a data volume.As shown in the figure, every day Floating Car vehicle number and the record number variation tendency be essentially identical.Can obtain the parameter of this city or regional floating car data according to changing trend diagram, described parameter comprises: maximum Floating Car vehicle numbers of unit period, minimum Floating Car vehicle number, maximum Floating Car record number, minimum Floating Car write down number, passback cycle etc., have promptly obtained the quantity size of this city or regional floating car data.
That Floating Car Real-time Traffic Information disposal system is handled and can obtain the needed floating car data of accurate transport information result and must satisfy certain requirement, for example each cycle will reach certain Floating Car vehicle number at least, and the record number of certain scale etc. be arranged.Therefore, by above-mentioned steps, the method that a kind of floating car data that the embodiment of the invention provides is handled has obtained the quantity size of the floating car data in this city or area.Analyzing and processing through the later stage, the parameter of these parameter informations with Floating Car Real-time Traffic Information disposal system is analyzed, can judge exactly that can the floating car data in this city or area satisfy the requirement of Floating Car Real-time Traffic Information disposal system, the accuracy of the traffic relevant information that assurance obtains after the Real-time Traffic Information disposal system is handled is brought into play the positive role of Floating Car technology greatly.
Correspondingly, the device that embodiments of the invention also provide a kind of floating car data to handle as shown in Figure 4, comprises data storage cell 1, is used to store floating car data;
Data processing unit 2 is used for the pre-stored historical floating car data is provided with the quantity size that grouping, every group of data of traversal obtain concrete Floating Car vehicle number of each cycle and record number, obtain Floating Car vehicle number and record number according to concrete Floating Car vehicle number of each cycle and record number by the cycle of presetting.
The device that a kind of floating car data that the embodiment of the invention provides is handled can access the quantity size of the floating car data in this city or area.
Further, data processing unit 2 comprises:
Cycle is cut apart module 201, is used for the pre-stored historical floating car data is provided with grouping by the cycle of presetting;
Statistical module 202 is used to travel through every group of data and obtains concrete Floating Car vehicle number and record number of each cycle;
Figure generation module 203 is used for drawing the changing trend diagram of unit period Floating Car vehicle number and record number according to each cycle concrete Floating Car vehicle number and record number;
Analysis module 204 is used for the quantity size that the scan variations trend map draws Floating Car vehicle number and record number.
The device of present embodiment in use, at first historical floating car data is stored in the data storage cell 1, the cycle of data processing unit 2 is cut apart module 201 and transfers historical floating car data, is provided with according to the cycle of presetting data are divided into groups.Cycle of presetting is provided with and is generally according to timestamp from 00:00, and per five minutes is one-period.Certainly, can be provided with according to the actual conditions during cycle.The 202 traversal cycles of statistical module are cut apart every group of data that module 201 obtains, and statistics obtains concrete Floating Car vehicle number and record number of each cycle, and statistics is issued figure generation module 203; Figure generation module 203 is drawn the changing trend diagram of unit period Floating Car vehicle number and record number according to the statistics described point; Analysis module 204 scan variations trend maps, from figure, find parameters such as maximum Floating Car vehicle numbers of unit period, minimum Floating Car vehicle number, maximum Floating Car record number, minimum Floating Car record number, draw the quantity size of unit period Floating Car vehicle number and record number.
Further, the device that floating car data of the present invention is handled also comprises display unit 3, is used to show the quantity size result that changing trend diagram that described processing unit obtains and analysis module 204 obtain.
The device that floating car data of the present invention is handled can access the quantity size of the floating car data in this city or area.Analyzing and processing through the later stage, the parameter of these parameter informations with Floating Car Real-time Traffic Information disposal system is analyzed, can judge exactly that can the floating car data in this city or area satisfy the requirement of Floating Car Real-time Traffic Information disposal system, the accuracy of the traffic relevant information that assurance obtains after the Real-time Traffic Information disposal system is handled is brought into play the positive role of Floating Car technology greatly.
The above; only be the specific embodiment of the present invention, but protection scope of the present invention is not limited thereto, anyly is familiar with those skilled in the art in the technical scope that the present invention discloses; can expect easily changing or replacing, all should be encompassed within protection scope of the present invention.Therefore, protection scope of the present invention should be as the criterion by described protection domain with claim.
Claims (9)
1. the method that floating car data is handled is characterized in that, comprising:
The pre-stored historical floating car data is provided with grouping by the cycle of presetting;
Travel through every group of data and obtain concrete Floating Car vehicle number and record number of each cycle;
Floating Car vehicle number and the record number concrete according to each cycle obtain Floating Car vehicle number and the quantity size that writes down number.
2. method according to claim 1 is characterized in that, described pre-stored historical floating car data is at least 1 day a historical floating car data.
3. method according to claim 2 is characterized in that, described pre-stored historical floating car data is 5 days a historical floating car data.
4. according to each described method of claim 1 to 3, it is characterized in that,
The described pre-stored historical floating car data was provided with by the cycle of presetting divides into groups to be specially:
With the described historical floating car data of every day according to timestamp from 00:00, per five minutes is the one-period grouping.
5. according to each described method of claim 1 to 3, it is characterized in that,
The described pre-stored historical floating car data was provided with by the cycle of presetting divides into groups to be specially:
With the described historical floating car data of every day according to timestamp from 00:00, per three minutes is the one-period grouping.
6. method according to claim 1 is characterized in that,
The described quantity size that obtains Floating Car vehicle number and record number according to concrete Floating Car vehicle number of each cycle and record number is specially:
Floating Car vehicle number and the record number concrete according to each cycle generate Floating Car vehicle number and the changing trend diagram that writes down number, obtain the quantity size of unit period Floating Car vehicle number and record number according to described changing trend diagram.
7. the device that floating car data is handled is characterized in that, comprising:
Data storage cell is used to store floating car data;
Data processing unit is used for the pre-stored historical floating car data is provided with the quantity size that grouping, every group of data of traversal obtain concrete Floating Car vehicle number of each cycle and record number, obtain Floating Car vehicle number and record number according to concrete Floating Car vehicle number of each cycle and record number by the cycle of presetting.
8. device according to claim 7 is characterized in that,
Described data processing unit comprises:
Cycle is cut apart module, is used for the pre-stored historical floating car data is provided with grouping by the cycle of presetting;
Statistical module is used to travel through every group of data and obtains concrete Floating Car vehicle number and record number of each cycle;
The figure generation module is used for generating the changing trend diagram of Floating Car vehicle number and record number according to each cycle concrete Floating Car vehicle number and record number;
Analysis module is used for the quantity size that the scan variations trend map draws Floating Car vehicle number and record number.
9. device according to claim 8 is characterized in that, also comprises display unit, is used to the changing trend diagram and the quantity size that show that described processing unit obtains.
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| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN200910244146A CN101794510A (en) | 2009-12-30 | 2009-12-30 | Data processing method and device of floating cars |
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| CN200910244146A CN101794510A (en) | 2009-12-30 | 2009-12-30 | Data processing method and device of floating cars |
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Cited By (7)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| WO2012024981A1 (en) * | 2010-08-23 | 2012-03-01 | 北京世纪高通科技有限公司 | Monitoring device based on floating car data processing system and method thereof |
| CN102800197A (en) * | 2012-02-27 | 2012-11-28 | 东南大学 | Preprocessing method of road section dynamic traffic stream essential data of urban road |
| CN102944244A (en) * | 2012-10-10 | 2013-02-27 | 北京世纪高通科技有限公司 | Method and device for acquisition of path planning engine parameter weight |
| CN103531023A (en) * | 2013-10-18 | 2014-01-22 | 北京世纪高通科技有限公司 | Data processing method and device |
| CN105206054A (en) * | 2015-09-22 | 2015-12-30 | 浙江久拓科技有限公司 | Floating car track repeated excavation method based on big data analysis |
| CN107452207A (en) * | 2016-06-01 | 2017-12-08 | 高德软件有限公司 | Floating car data source evaluation method, apparatus and system |
| CN109844832A (en) * | 2016-12-30 | 2019-06-04 | 同济大学 | A kind of multi-modal accident detection method based on journey time distribution |
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2009
- 2009-12-30 CN CN200910244146A patent/CN101794510A/en active Pending
Cited By (10)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| WO2012024981A1 (en) * | 2010-08-23 | 2012-03-01 | 北京世纪高通科技有限公司 | Monitoring device based on floating car data processing system and method thereof |
| CN102800197A (en) * | 2012-02-27 | 2012-11-28 | 东南大学 | Preprocessing method of road section dynamic traffic stream essential data of urban road |
| CN102800197B (en) * | 2012-02-27 | 2014-07-16 | 东南大学 | Preprocessing method of road section dynamic traffic stream essential data of urban road |
| CN102944244A (en) * | 2012-10-10 | 2013-02-27 | 北京世纪高通科技有限公司 | Method and device for acquisition of path planning engine parameter weight |
| CN103531023A (en) * | 2013-10-18 | 2014-01-22 | 北京世纪高通科技有限公司 | Data processing method and device |
| CN103531023B (en) * | 2013-10-18 | 2016-01-20 | 北京世纪高通科技有限公司 | A kind of data processing method and device |
| CN105206054A (en) * | 2015-09-22 | 2015-12-30 | 浙江久拓科技有限公司 | Floating car track repeated excavation method based on big data analysis |
| CN107452207A (en) * | 2016-06-01 | 2017-12-08 | 高德软件有限公司 | Floating car data source evaluation method, apparatus and system |
| CN109844832A (en) * | 2016-12-30 | 2019-06-04 | 同济大学 | A kind of multi-modal accident detection method based on journey time distribution |
| CN109844832B (en) * | 2016-12-30 | 2021-06-15 | 同济大学 | Multi-mode traffic anomaly detection method based on travel time distribution |
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Application publication date: 20100804 |