CN103065472A - Real-time traffic status analysis method and real-time traffic status analysis system - Google Patents
Real-time traffic status analysis method and real-time traffic status analysis system Download PDFInfo
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- CN103065472A CN103065472A CN2012105684785A CN201210568478A CN103065472A CN 103065472 A CN103065472 A CN 103065472A CN 2012105684785 A CN2012105684785 A CN 2012105684785A CN 201210568478 A CN201210568478 A CN 201210568478A CN 103065472 A CN103065472 A CN 103065472A
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- G—PHYSICS
- G08—SIGNALLING
- G08G—TRAFFIC CONTROL SYSTEMS
- G08G1/00—Traffic control systems for road vehicles
- G08G1/01—Detecting movement of traffic to be counted or controlled
- G08G1/0104—Measuring and analyzing of parameters relative to traffic conditions
- G08G1/0108—Measuring and analyzing of parameters relative to traffic conditions based on the source of data
- G08G1/0112—Measuring and analyzing of parameters relative to traffic conditions based on the source of data from the vehicle, e.g. floating car data [FCD]
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- G—PHYSICS
- G08—SIGNALLING
- G08G—TRAFFIC CONTROL SYSTEMS
- G08G1/00—Traffic control systems for road vehicles
- G08G1/01—Detecting movement of traffic to be counted or controlled
- G08G1/0104—Measuring and analyzing of parameters relative to traffic conditions
- G08G1/0125—Traffic data processing
- G08G1/0133—Traffic data processing for classifying traffic situation
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- G—PHYSICS
- G08—SIGNALLING
- G08G—TRAFFIC CONTROL SYSTEMS
- G08G1/00—Traffic control systems for road vehicles
- G08G1/01—Detecting movement of traffic to be counted or controlled
- G08G1/0104—Measuring and analyzing of parameters relative to traffic conditions
- G08G1/0137—Measuring and analyzing of parameters relative to traffic conditions for specific applications
- G08G1/0141—Measuring and analyzing of parameters relative to traffic conditions for specific applications for traffic information dissemination
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Abstract
The invention relates to a real-time traffic status analysis method and a real-time traffic status analysis system. The real-time traffic status analysis method comprises the following steps: global positioning system (GPS)/beidou data are obtained at a fixed frequency; the GPS/beidou data are quickly matched to a position area with corresponding longitude and latitude information; and within the position area matched with the GPS/beidou data, the GPS/beidou data are matched to a highway section with corresponding longitude and latitude information by means of a map matching method, and average velocity of each highway section is further calculated to analyze traffic status. According to the real-time traffic status analysis method, the GPS/beidou data are firstly matched to the position area with the corresponding longitude and latitude information, and then the GPS/beidou data are matched to the highway section with the corresponding longitude and latitude information, time required for matching is reduced substantially, and the problem that mass real-time data flows are hard to process is solved. Meanwhile, the real-time traffic status analysis system is achieved by means of the real-time traffic status analysis method, and the purpose of real-time traffic status information broadcasting can be achieved.
Description
Technical field
The present invention relates to intelligent transportation field, particularly relate to a kind of real-time road analytical approach and system.
Background technology
Along with the development of society, the quantity of automobile increases rapidly, and traffic jam has become the key subjects that each big city faces.The report of jamming analysis and real-time road has become the valuable information of driver's selection schemer.
Traditional jamming analysis method is at the first-class video equipment of the crossroad of key road equipment shooting, be used for monitoring the traffic of each bar road, the shortcoming of this method is to need the artificial traffic that monitors each traffic intersection, by the broadcasting station real-time road condition information is sent to the vehicle driver again through manual analysis.This method cost of labor height and efficient are low, and the manual analysis congestion expends time in, can not the real-time broadcasting traffic information.And the cloud computing technology of emerging intelligent transport technology uses advanced, wireless network communication technology and GPS (GPS, Global Positioning System) or Big Dipper positioning system etc. set up with Geographic Information System (GIS, Geographic Information System), the locator information of vehicle-carrying data are the intelligent platform of core, multidate information that can the analysis-by-synthesis Vehicle Driving Cycle, thus carry out scientific and reasonable scheduling of resource and real-time road condition information transmits.
But because city vehicle huge amount, every vehicle GPS or Big Dipper data sampling rate are high, the urban traffic control center needs data volume to be processed to reach GB(Gigabyte, gigabit) level or TB(Trillionbyte, trillion) level has become the bottleneck that urban real-time road condition is reported and how to carry out jamming analysis by these magnanimity vehicle GPS/Big Dipper data.The Map/Reduce algorithm of the project of the increasing income Hadoop platform of Apache possesses strong mass data computing power, but the Hadoop platform can only process historical data, and the real-time stream of magnanimity is seemed helpless.
Summary of the invention
Based on this, be necessary to provide a kind of real-time road analytical approach and system that can process the magnanimity real-time stream.
A kind of real-time road analytical approach comprises the steps:
Obtain GPS/ Big Dipper data with fixed frequency, described GPS/ Big Dipper data comprise the travel direction of vehicle, longitude of living in and latitude and velocity information;
With the extremely corresponding locating area of GPS/ Big Dipper Data Matching, the longitude and the latitude information that provide according to GPS/ Big Dipper data, longitude and the latitude on the locating area border that contrast is divided in advance match rapidly the locating area that longitude conforms to latitude information with described GPS/ Big Dipper data;
With GPS/ Big Dipper Data Matching to corresponding highway section, in the locating area of described GPS/ Big Dipper Data Matching, utilize map-matching method with described GPS/ Big Dipper Data Matching to highway section that longitude conforms to latitude information.
Therein among embodiment, described obtain GPS/ Big Dipper data step before, also comprise the steps:
Divide locating area, the city, road place of needs being reported road conditions is divided into several grids according to longitude and latitude, obtain several locating areas and number consecutively, the method that described locating area is divided is: utilize some warps and parallel to divide, two adjacent warps differ 0.05 °, and two adjacent parallels differ 0.05 °, described several locating area number consecutivelies be A1, A2 ..., An, wherein, n represents n locating area;
Determine the highway section numbering, the highway section in each described locating area numbered respectively that the j bar highway section in described i the locating area is numbered AiRj.
Therein among embodiment, in the numbering step of described definite highway section, the highway section that will have two different travel directions is numbered with two different numberings, the highway section that length is surpassed 5Km is divided into length and is numbered less than several highway sections of 5Km, bending degree is surpassed 15 ° highway section be divided into bending degree and be numbered less than several highway sections of 15 °.
Therein among embodiment, described with GPS/ Big Dipper Data Matching to the step of corresponding highway section, also comprise renewal speed table step, when a GPS/ Big Dipper Data Matching to new highway section, establish a thread newly and record this highway section this and all GPS/ Big Dipper data of matching afterwards, every GPS/ Big Dipper data that the highway section safeguards to match in its nearest a period of time, from with nearest a period of time of certain highway section coupling in whole all velocity amplitudes of GPS/ Big Dipper extracting data and being averaged, obtain the average velocity in this highway section, gather average velocity and the preservation in all highway sections.
Therein among embodiment, described with GPS/ Big Dipper Data Matching to the step of corresponding highway section, also comprise road condition analyzing step and road conditions issuing steps, in described road condition analyzing step, described average velocity is judged to be serious congestion status less than highway section corresponding to 22Km/h, described average velocity corresponding highway section between 22 ~ 35Km/h is judged to be slight congestion status, described average velocity is judged to be unimpeded state greater than highway section corresponding to 35Km/h.In described road conditions issuing steps, with wireless communication mode the highway section congestion status that obtains in the described road condition analyzing step is sent to the intelligent navigation terminal.
A kind of real-time road analytic system also is provided simultaneously, comprise client terminal, traffic information management platform and cloud service center, described cloud service center comprises streaming computing platform and map matcher, described client terminal obtains the GPS/ Big Dipper data of vehicle and sends it to described traffic information management platform, described traffic information management platform receives the GPS/ Big Dipper data of described client terminal transmission and is sent to described cloud service center with a fixed frequency, there are the urban geography data at described cloud service center, described real-time road analytic system is pre-stored the number information in each highway section in the number information of several locating areas that the city divides and each locating area, described GPS/ Big Dipper data comprise the travel direction of vehicle, longitude of living in and latitude and velocity information, described streaming computing platform comprises the data distribution device, described real-time road analytic system conforms to longitude described GPS/ Big Dipper Data Matching by described data distribution device with latitude information locating area, in described locating area, again by described map matcher with described GPS/ Big Dipper Data Matching to highway section that longitude conforms to latitude information.
Among embodiment, described streaming computing platform also comprises processing unit therein, and the GPS/ Big Dipper data that described processing unit provides take described cloud service center and urban geography data are calculated the average velocity in each highway section as the basis.
Among embodiment, described streaming computing platform also comprises the speed combiner therein, and described real-time road analytic system merges the average velocity in all highway sections by described speed combiner and preserves.
Therein among embodiment, described streaming computing platform also comprises the road condition analyzing device, average velocity according to described speed combiner storage, the just described average velocity of described road condition analyzing device is judged to be serious congestion status less than highway section corresponding to 22Km/h, described average velocity corresponding highway section between 22 ~ 35Km/h is judged to be slight congestion status, described average velocity is judged to be unimpeded state greater than highway section corresponding to 35Km/h.
Among embodiment, described streaming computing platform also comprises the information distributor therein, and described real-time road analytic system is sent to client terminal by described information distributor with the traffic information that described road condition analyzing device obtains.
Above-mentioned real-time road analytical approach, at first obtain GPS/ Big Dipper data, the longitude and the latitude information that provide according to GPS/ Big Dipper data, longitude and the latitude on the locating area border that contrast is divided in advance, described GPS/ Big Dipper data are matched rapidly the locating area that longitude conforms to latitude information, utilize and then map-matching method GPS/ Big Dipper Data Matching to highway section that longitude conforms to latitude information, significantly reduce the needed time of coupling, solved the problem that is difficult to process the magnanimity real-time stream.Simultaneously, also provide a kind of real-time road analytic system of using above-mentioned real-time road analytical approach to realize, can realize the purpose of real-time broadcasting traffic information.
Description of drawings
Fig. 1 is the process flow diagram of the real-time road analytical approach of an embodiment;
Fig. 2 is the exemplary plot in definite highway section numbering step of an embodiment;
Fig. 3 is the structural representation of the real-time road analytic system of an embodiment.
Embodiment
In order to solve the problem that is difficult at present process the magnanimity real-time stream, present embodiment provides a kind of real-time road analytical approach.Below in conjunction with specific embodiment, the real-time road analytical approach is carried out concrete description.
Please refer to Fig. 1, the real-time road analytical approach that present embodiment provides comprises the steps:
Step S110: divide locating area.The city, road place of needs being reported road conditions is divided into several grids according to longitude and latitude, obtains several locating areas and number consecutively.In the present embodiment, utilize some warps and parallel to divide the city, two adjacent warps differ 0.05 °, and two adjacent parallels differ 0.05 °.So just, the city can be divided into several locating areas, all roads in whole city just are distributed in these locating areas.In order to be easy to distinguish each locating area, can be followed successively by each locating area numbering.In the present embodiment, successively each locating area is numbered A1, A2 ..., An, wherein, n represents n locating area.
Step S120: determine the highway section numbering.The highway section that falls in each locating area is numbered respectively, substantially number rule and be: the j bar highway section in i the locating area is numbered AiRj, also is about to be numbered that j bar highway section is numbered AiRj in the locating area of Ai.Because some highway section may be longer, perhaps bending is larger, consider that again road has dividing of one-way road and two-way street, in the present embodiment, the highway section that will have two different travel directions is numbered with two different numberings, concrete method for numbering serial can for: be numbered respectively the road even number of direction running or eastwards wherein, southwards or westwards the road odd number of direction running northwards with a pair of odd number, even number.For example G4 is wide dark has two travel directions at a high speed, please refer to Fig. 2, wherein eastwards or the highway section of travel direction to the south be numbered A1R01, westwards or northwards the highway section of travel direction is numbered A1R02.In addition, the one way access numbering adopts odd number, its reciprocal sky that is numbered without exception; The highway section that length is surpassed 5Km is divided into length less than several highway sections of 5Km and is numbered respectively; Bending degree is surpassed 15 ° highway section to be divided into bending degree less than several highway sections of 15 ° and to be numbered respectively.In addition, each locating area has accurately that starting point and the end point in longitude and latitude border, each bar highway section have the latitude and longitude value mark.
The work that above-mentioned steps S110 and step S120 do is the preliminary work of real-time road analytical approach, for subsequent step provides Data support.
Step S130: obtain GPS/ Big Dipper data with fixed frequency.Described GPS/ Big Dipper data comprise the travel direction of vehicle, longitude of living in and latitude and velocity information.In the present embodiment, obtain GPS/ Big Dipper data one time in per ten minutes, make the GPS/ Big Dipper data of obtaining have stronger real-time, thereby obtain the stronger road condition analyzing result of real-time.
Step S140: with the extremely corresponding locating area of GPS/ Big Dipper Data Matching.According to longitude and latitude information that GPS/ Big Dipper data provide, longitude and the latitude on the locating area border that contrast is divided in advance match rapidly the locating area that longitude conforms to latitude information with described GPS/ Big Dipper data.
Step S150: with the extremely corresponding highway section of GPS/ Big Dipper Data Matching.In the locating area of described GPS/ Big Dipper Data Matching, utilize map-matching method with described GPS/ Big Dipper Data Matching to highway section that longitude conforms to latitude information.Owing on certain highway section a plurality of vehicles may be arranged, therefore a plurality of GPS/ Big Dipper Data Matching may be arranged to same highway section.
Step S160: renewal speed table step, when a GPS/ Big Dipper Data Matching to new highway section is arranged, just establish a thread newly.This thread is used for this highway section of record this and all GPS/ Big Dipper data of matching afterwards.Every GPS/ Big Dipper data that the highway section safeguards to match in its nearest a period of time, in the present embodiment, every GPS/ Big Dipper data that the highway section safeguards to match in its nearest ten minutes.From with nearest a period of time of certain highway section coupling in whole all velocity amplitudes of GPS/ Big Dipper extracting data and being averaged, obtain the average velocity in this highway section, gather the average velocity in all highway sections and preserve.
Step S170: road condition analyzing.The average velocity that obtains according to step S160 is judged the congestion status in highway section, concrete dicision rules is as follows: average velocity is judged to be serious congestion status less than highway section corresponding to 22Km/h, average velocity corresponding highway section between 22 ~ 35Km/h is judged to be slight congestion status, average velocity is judged to be unimpeded state greater than highway section corresponding to 35Km/h.
In the present embodiment, every highway section is all independent of a velometer should be arranged, and this velometer is used for receiving and record and the up-to-date N bar GPS/ Big Dipper data of receiving of its corresponding road section.Here N can arrange according to actual needs.When the GPS/ Big Dipper data that receive when velometer surpass the N bar, the GPS/ Big Dipper data that the automatic deletion of velometer receives at first, the GPS/ Big Dipper data that then will newly receive are preserved.
Because some highway section is busier, the GPS/ Big Dipper data that its corresponding tables of data receives are more.And other highway section vehicles are less, and the GPS/ Big Dipper data that its corresponding tables of data receives are also less.Therefore, when calculating the average velocity in each highway section, present embodiment adopts dynamic dispatching algorithm.Dynamic dispatching algorithm can dynamically, reasonably be distributed to different computing nodes with calculation task, to guarantee handling all velometers within a short period of time.
Step S180: road conditions issue.With wireless communication mode the highway section congestion status that obtains in the road condition analyzing step is sent to the intelligent navigation terminal, be convenient to the driver and select the travel route that is fit to.In order to allow the driver understand more intuitively road conditions, can on the intelligent navigation terminal, highlight with red, yellow and green highway section with correspondence respectively.
Above-mentioned real-time road analytical approach, at first the city is divided into several grids by longitude and latitude, obtain several locating areas, again with each the highway section numbering in each locating area, dividing like this highway section quantity that each locating area out comprises will significantly reduce, when the highway section of GPS/ Big Dipper data and corresponding numbering is mated, at first fast GPS/ Big Dipper data are navigated in the corresponding locating area according to longitude and latitude information, and then utilize map-matching method the highway section of GPS/ Big Dipper Data Matching to corresponding numbering, can significantly reduce the needed time of coupling, solve the problem that is difficult to process the magnanimity real-time stream.
In addition, adopt dynamic dispatching algorithm to improve the efficient of processing GPS/ Big Dipper data, reduced the whole time that needs of real-time road analytical approach, further strengthened the real-time of real-time road analytical approach.
Simultaneously, present embodiment also provides a kind of real-time road analytic system of using above-mentioned real-time road analytical approach to realize, below in conjunction with specific embodiment, the real-time road analytic system is carried out concrete description.
Please refer to Fig. 3, the real-time road analytic system comprises client terminal 200, traffic information management platform 300, cloud service center 400.
Client terminal 200 comprises vehicle-mounted station acquisition device 210, cell phone intelligent terminal 220 and vehicle mounted guidance terminal 230.Vehicle-mounted station acquisition device 210 is based on GPS or Big Dipper positioning system, the positional information of collection vehicle, client terminal 200 are integrated this positional information and are obtained GPS/ Big Dipper data and it is sent to traffic information management platform 300 with wireless communication mode together with information such as car speed, travel directions.Cell phone intelligent terminal 220 or vehicle mounted guidance terminal 230 are used for receiving the traffic information that cloud service center 400 sends by traffic information management platform 300.
Traffic information management platform 300 receives the GPS/ Big Dipper data of client terminal 200 transmissions and it is sent to cloud service center 400 with a fixed frequency by the internet.In the present embodiment, traffic information management platform 300 is sent to cloud service center 400 with per ten minutes frequencies once with GPS/ Big Dipper data.
Cloud service center 400 comprises streaming computing platform 410 and map matcher 420.Cloud service center 400 has the urban geography data in advance.Streaming computing platform 410 comprises processing unit 412.The GPS/ Big Dipper data that streaming computing platform 410 provides take cloud service center 400 and urban geography data are the basis, calculate the average velocity in each highway section by processing unit 412.In order to improve the efficient of real-time road analysis system processes GPS/ Big Dipper data, streaming computing platform 410 also comprises data distribution device 411.Before streaming computing platform 410 begins to calculate, the real-time road analytic system is used the real-time road analytical approach of introducing above in advance, the city is divided into several locating areas and numbering, each highway section in each locating area is also numbered, and the real-time road analytic system is kept the number information of locating area and the number information in interior each highway section of each locating area.Like this, the longitude and the latitude information that provide according to GPS/ Big Dipper data, data distribution device 411 can navigate to these GPS/ Big Dipper data in the locating area corresponding with it fast, and then in this locating area, utilizes map matcher 420 to find this highway section corresponding to GPS/ Big Dipper data.In the present embodiment, data distribution device 411 can adopt slice map Web service (WMTS, Web Map Tile Service) to realize.
Streaming computing platform 410 also comprises combiner 414, road condition analyzing device 416 and information distributor 418.Processing unit 412 has been safeguarded the interior velometer of nearest a period of time in each highway section.Combiner 414 merges to the average velocity in all highway sections that processing unit 412 calculates in the table, and should show called after AllSpdTab.Road condition analyzing device 416 is according to the average velocity of speed combiner 412 storages, average velocity is judged to be serious congestion status less than highway section corresponding to 22Km/h, average velocity corresponding highway section between 22 ~ 35Km/h is judged to be slight congestion status, average velocity is judged to be unimpeded state greater than highway section corresponding to 35Km/h.The traffic information that information distributor 418 is used for road condition analyzing device 416 is obtained releases, for fear of the problem of conflicting that writes with 416 pairs of AllSpdTab forms of road condition analyzing device of reading of 418 pairs of AllSpdTab forms of information distributor, the AllSpdTab form copied obtaining another form and called after AllSpdTab_Release.Information distributor 418 does not directly read the AllSpdTab form, but read the AllSpdTab_Release form, obtain traffic information, and send it to cell phone intelligent terminal 220 or vehicle mounted guidance terminal 230 by traffic information management platform 300 usefulness wireless communication modes.
Above-mentioned real-time road analytic system is used the real-time road analytical approach, has solved the problem that is difficult to process the magnanimity real-time stream, has realized the purpose of real-time broadcasting traffic information.
The above embodiment has only expressed several embodiment of the present invention, and it describes comparatively concrete and detailed, but can not therefore be interpreted as the restriction to claim of the present invention.Should be pointed out that for the person of ordinary skill of the art without departing from the inventive concept of the premise, can also make some distortion and improvement, these all belong to protection scope of the present invention.Therefore, the protection domain of patent of the present invention should be as the criterion with claims.
Claims (10)
1. a real-time road analytical approach is characterized in that, comprises the steps:
Obtain GPS/ Big Dipper data with fixed frequency, described GPS/ Big Dipper data comprise the travel direction of vehicle, longitude of living in and latitude and velocity information;
With the extremely corresponding locating area of GPS/ Big Dipper Data Matching, the longitude and the latitude information that provide according to GPS/ Big Dipper data, longitude and the latitude on the locating area border that contrast is divided in advance match rapidly the locating area that longitude conforms to latitude information with described GPS/ Big Dipper data;
With GPS/ Big Dipper Data Matching to corresponding highway section, in the locating area of described GPS/ Big Dipper Data Matching, utilize map-matching method with described GPS/ Big Dipper Data Matching to highway section that longitude conforms to latitude information.
2. real-time road analytical approach according to claim 1 is characterized in that, described obtain GPS/ Big Dipper data step before, also comprise the steps:
Divide locating area, the city, road place of needs being reported road conditions is divided into several grids according to longitude and latitude, obtain several locating areas and number consecutively, the method that described locating area is divided is: utilize some warps and parallel to divide, two adjacent warps differ 0.05 °, and two adjacent parallels differ 0.05 °, described several locating area number consecutivelies be A1, A2 ..., An, wherein, n represents n locating area;
Determine the highway section numbering, the highway section in each described locating area numbered respectively that the j bar highway section in described i the locating area is numbered AiRj.
3. real-time road analytical approach according to claim 2, it is characterized in that, in the numbering step of described definite highway section, the highway section that will have two different travel directions is numbered with two different numberings, the highway section that length is surpassed 5Km is divided into length and is numbered less than several highway sections of 5Km, bending degree is surpassed 15 ° highway section be divided into bending degree and be numbered less than several highway sections of 15 °.
4. real-time road analytical approach according to claim 1, it is characterized in that, described with GPS/ Big Dipper Data Matching to the step of corresponding highway section, also comprise renewal speed table step, when a GPS/ Big Dipper Data Matching to new highway section, establish a thread newly and record this highway section this and all GPS/ Big Dipper data of matching afterwards, every GPS/ Big Dipper data that the highway section safeguards to match in its nearest a period of time, from with nearest a period of time of certain highway section coupling in whole all velocity amplitudes of GPS/ Big Dipper extracting data and being averaged, obtain the average velocity in this highway section, gather average velocity and the preservation in all highway sections.
5. real-time road analytical approach according to claim 1, it is characterized in that, described with GPS/ Big Dipper Data Matching to the step of corresponding highway section, also comprise road condition analyzing step and road conditions issuing steps, in described road condition analyzing step, described average velocity is judged to be serious congestion status less than highway section corresponding to 22Km/h, described average velocity corresponding highway section between 22 ~ 35Km/h is judged to be slight congestion status, described average velocity is judged to be unimpeded state greater than highway section corresponding to 35Km/h.In described road conditions issuing steps, with wireless communication mode the highway section congestion status that obtains in the described road condition analyzing step is sent to the intelligent navigation terminal.
6. real-time road analytic system, it is characterized in that, comprise client terminal, traffic information management platform and cloud service center, described cloud service center comprises streaming computing platform and map matcher, described client terminal obtains the GPS/ Big Dipper data of vehicle and sends it to described traffic information management platform, described traffic information management platform receives the GPS/ Big Dipper data of described client terminal transmission and is sent to described cloud service center with a fixed frequency, there are the urban geography data at described cloud service center, described real-time road analytic system is pre-stored the number information in each highway section in the number information of several locating areas that the city divides and each locating area, described GPS/ Big Dipper data comprise the travel direction of vehicle, longitude of living in and latitude and velocity information, described streaming computing platform comprises the data distribution device, described real-time road analytic system conforms to longitude described GPS/ Big Dipper Data Matching by described data distribution device with latitude information locating area, in described locating area, again by described map matcher with described GPS/ Big Dipper Data Matching to highway section that longitude conforms to latitude information.
7. real-time road analytic system according to claim 6, it is characterized in that, described streaming computing platform also comprises processing unit, and the GPS/ Big Dipper data that described processing unit provides take described cloud service center and urban geography data are calculated the average velocity in each highway section as the basis.
8. real-time road analytic system according to claim 7 is characterized in that, described streaming computing platform also comprises the speed combiner, and described real-time road analytic system merges the average velocity in all highway sections by described speed combiner and preserves.
9. real-time road analytic system according to claim 8, it is characterized in that, described streaming computing platform also comprises the road condition analyzing device, average velocity according to described speed combiner storage, the just described average velocity of described road condition analyzing device is judged to be serious congestion status less than highway section corresponding to 22Km/h, described average velocity corresponding highway section between 22 ~ 35Km/h is judged to be slight congestion status, described average velocity is judged to be unimpeded state greater than highway section corresponding to 35Km/h.
10. real-time road analytic system according to claim 9, it is characterized in that, described streaming computing platform also comprises the information distributor, and described real-time road analytic system is sent to client terminal by described information distributor with the traffic information that described road condition analyzing device obtains.
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