CN106297291A - Urban expressway traffic information acquisition system - Google Patents
Urban expressway traffic information acquisition system Download PDFInfo
- Publication number
- CN106297291A CN106297291A CN201610749329.7A CN201610749329A CN106297291A CN 106297291 A CN106297291 A CN 106297291A CN 201610749329 A CN201610749329 A CN 201610749329A CN 106297291 A CN106297291 A CN 106297291A
- Authority
- CN
- China
- Prior art keywords
- data
- traffic
- unit
- information
- analysis
- 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.)
- Granted
Links
- 238000000034 method Methods 0.000 claims abstract description 31
- 230000008569 process Effects 0.000 claims abstract description 24
- 238000004458 analytical method Methods 0.000 claims abstract description 23
- 238000007726 management method Methods 0.000 claims abstract description 14
- 238000013523 data management Methods 0.000 claims abstract description 6
- 238000012545 processing Methods 0.000 claims description 26
- 238000007405 data analysis Methods 0.000 claims description 15
- 238000005516 engineering process Methods 0.000 claims description 14
- 238000012544 monitoring process Methods 0.000 claims description 12
- 238000004891 communication Methods 0.000 claims description 8
- 230000007246 mechanism Effects 0.000 claims description 7
- 230000006698 induction Effects 0.000 claims description 6
- 230000000694 effects Effects 0.000 claims description 3
- 230000009466 transformation Effects 0.000 claims description 3
- 239000004744 fabric Substances 0.000 claims description 2
- 238000004364 calculation method Methods 0.000 claims 1
- 238000004140 cleaning Methods 0.000 abstract description 2
- 230000006870 function Effects 0.000 description 3
- 238000013439 planning Methods 0.000 description 3
- 238000010276 construction Methods 0.000 description 2
- 238000001514 detection method Methods 0.000 description 2
- 238000010586 diagram Methods 0.000 description 2
- 230000006872 improvement Effects 0.000 description 2
- 230000010365 information processing Effects 0.000 description 2
- 238000012423 maintenance Methods 0.000 description 2
- 238000012986 modification Methods 0.000 description 2
- 230000004048 modification Effects 0.000 description 2
- 238000003032 molecular docking Methods 0.000 description 2
- PEDCQBHIVMGVHV-UHFFFAOYSA-N Glycerine Chemical compound OCC(O)CO PEDCQBHIVMGVHV-UHFFFAOYSA-N 0.000 description 1
- 206010039203 Road traffic accident Diseases 0.000 description 1
- 210000000709 aorta Anatomy 0.000 description 1
- 238000009412 basement excavation Methods 0.000 description 1
- 230000009286 beneficial effect Effects 0.000 description 1
- 230000005540 biological transmission Effects 0.000 description 1
- 230000000903 blocking effect Effects 0.000 description 1
- 238000006243 chemical reaction Methods 0.000 description 1
- 238000012790 confirmation Methods 0.000 description 1
- 230000008878 coupling Effects 0.000 description 1
- 238000010168 coupling process Methods 0.000 description 1
- 238000005859 coupling reaction Methods 0.000 description 1
- 238000013497 data interchange Methods 0.000 description 1
- 230000007547 defect Effects 0.000 description 1
- 230000007812 deficiency Effects 0.000 description 1
- 238000013461 design Methods 0.000 description 1
- 238000011161 development Methods 0.000 description 1
- 239000006185 dispersion Substances 0.000 description 1
- 238000007667 floating Methods 0.000 description 1
- 230000004927 fusion Effects 0.000 description 1
- 238000007689 inspection Methods 0.000 description 1
- 230000010354 integration Effects 0.000 description 1
- 238000002955 isolation Methods 0.000 description 1
- 230000004089 microcirculation Effects 0.000 description 1
- 230000004899 motility Effects 0.000 description 1
- 239000003973 paint Substances 0.000 description 1
- 238000007639 printing Methods 0.000 description 1
- 229920006395 saturated elastomer Polymers 0.000 description 1
- 238000000926 separation method Methods 0.000 description 1
- 238000004088 simulation Methods 0.000 description 1
- 238000007619 statistical method Methods 0.000 description 1
Classifications
-
- G—PHYSICS
- G08—SIGNALLING
- G08G—TRAFFIC CONTROL SYSTEMS
- G08G1/00—Traffic control systems for road vehicles
- G08G1/01—Detecting movement of traffic to be counted or controlled
- G08G1/0104—Measuring and analyzing of parameters relative to traffic conditions
Landscapes
- Chemical & Material Sciences (AREA)
- Analytical Chemistry (AREA)
- Physics & Mathematics (AREA)
- General Physics & Mathematics (AREA)
- Traffic Control Systems (AREA)
Abstract
Present invention is disclosed a kind of urban expressway traffic information acquisition system, including data acquisition unit, Data Management Unit, information process unit, integrated interface unit, user's applying unit and decision-making management unit, data acquisition unit is used for the collection of widely distributed, multi-source heterogeneous huge traffic data, converges and arrange, Data Management Unit for data distributed storage, inquire about, back up, clear up described, information process unit for the cleaning of isomeric data, analyze, filter after form standard compliant item of information；Integrated interface is for being supplied to requesting party to standard information, and user's applying unit carries out issuing or obtain standard information by the related interfaces on web page, and the paired passing data compilation analysis of decision-making also provides decision-making；By cloud computing, big data process the data exchange realizing whole nation intelligent transportation system, intercommunication between each system, interconnection, interoperability.
Description
Technical field
The present invention relates to a kind of intelligent transportation field, especially relate to the city expressway in a kind of intelligent transportation system and hand over
Logical information gathering and management.
Background technology
City expressway is the urban road system being main services object with motor vehicles totally-enclosed, full-overpass, constitutes city
The trunk road network of city's traffic.Although through street has road conditions and running environment is preferable, vehicle travels by bicycle and row
People's interference is less, the speed of traveling is fast, regular than features such as city ordinary road are strong, but gateway spacing is little, and vehicle enters
Going out frequency high, vehicle crosses frequently near gateway, relatively big to the vehicle interference travelled normal on major trunk roads, is susceptible to block up
Plug.Through street associates closely with city ordinary road simultaneously, and isolation strip entrance, interchange viaduct, gateway are passed through in through street
The various ways such as ring road are linked up mutually with ordinary road, define therebetween the relation between " aorta " and " microcirculation ", only
Smooth and easy connection between guaranteed junction point, could finally realize the object of planning of through street.It is upper that city expressway is had
Stating feature, the traffic information collection determining city expressway has bigger difference with the traffic information collection in ordinary road,
Target, scope and the emphasis of information gathering have its feature and difference.
The most domestic produce some products for Expressway Traffic information monitoring problem, but owing to having built various places
Intelligent Transportation Information Collection System is based on different technology path exploitations, data acquisition by different manufacturers different times
Collection, access mode are different, the most independent each other, cause each system built to be in the state of information island, letter
Breath confusing communication, Data Integration shares difficulty；Intelligent road traffic information collection is still with urban streets or highway
Being main, urban expressway traffic information acquisition system is less, and this systemic-function is single, lack deficiencies such as integrating, backward in technique.
Be mainly reflected in the application system construction dispersion, mass data shortage effectively integrates, traffic data utilization rate is low, data value cannot
It is not fully exerted, and traffic prewarning propagation is limited, traffic information is difficult to the aspects such as timely acquisition.And specific environment and
Target determines us cannot apply mechanically the traffic information collecting method of ordinary road or highway, therefore, it is possible to by intricate
Traffic big data unified fusion induction and conclusion to improve the scientific system that modernizes of traffic administration be the direction of future studies.
Summary of the invention
It is an object of the invention to overcome the defect of prior art, it is provided that a kind of urban expressway traffic information acquisition system
Software, uses the emerging technologies such as Internet of Things, big data, cloud computing, and coupling system integrated service unit improves the work of system
Make efficiency.
For achieving the above object, the present invention proposes following technical scheme, including following business unit: data acquisition unit,
Described data acquisition unit by diversified, widely, real-time acquisition mode and intelligent comprehensive monitoring obtain multi-source different
The big data of traffic of structure are collected, converge and arrange and are stored in data base；Data Management Unit, based on described data acquisition
The big data of described traffic that collection unit gathers are real by distributed file system and distributed data base data big to described traffic
Existing distributed storage, inquire about, back up, clear up；Information process unit, the big data of described traffic in data base are carried out,
Analyze, filter and formed the item of information that conformance with standard requires；Integrated interface unit, for processing the application coming from application system
Standard compliant item of information is also supplied to requesting party by request；User's applying unit, system-oriented user, and carry to system user
Issue with information for system configuration management, traffic events command dispatching system, the induction of rapid transit road conditions and monitoring road conditions；Decision-making
Administrative unit, the effect implementing each business unit is estimated, and sets, revises each business sheet by the way of man-computer cooperation
The functional objective of unit, determine the flow process of every Business Processing, it is intended that generate the method for each operational program, model and algorithm, constantly
The working condition of improvement system, is designed by SOA framework, and interfaces different for miscellaneous service system is the most all converted to WEB clothes
Business is shared.
Preferably, described traffic big data using data hierarchical storage mechanism and big data analysis solve with processing mode
The low delay of system, high concurrent transaction and efficient information processing and analysis.
Preferably, described data staging memory mechanism includes being dissolved into existing by multiple data message by kernel model transformation
In the kernel model in master data warehouse and the historical data in master data warehouse and listings data are moved to described distributed
Data base.
Preferably, first described big data analysis builds big data analysis and processing platform with processing and uses combination distribution
Formula parallel processing technique and real-time stream treatment technology data big to described traffic are analyzed and process.
Preferably, described big data analysis and processing platform include distributed storage layer, distributed treatment layer, and metadata takes
Business layer, Treatment Analysis layer and traffic big data handling utility layer.
Preferably, described Treatment Analysis layer includes Complex event processing, analyzes and processes in real time, on-line analytical processing, the degree of depth
Analyze.
Preferably, described big data analysis and process platform includes Hadoop platform, by acquired original data through data
It is loaded into described Hadoop platform after REPOSITORY TECHNOLOGY (ETL) processed, and by Hadoop, data after processing is stored point
In cloth data base and in MDL, described Hadoop is distributed system architecture.
Preferably, described traffic administration unit includes traffic guidance system, traffic events monitoring system, system for traffic guiding
And communications policy analysis system.
Preferably, described communications policy is analyzed system and is included that vehicle flowrate analyzes system, and block up multi-happening section analysis system
System, traffic volume forecast system.
The invention has the beneficial effects as follows:
1, on the basis of system modular, set up general data-interface, solve the compatibility issue of new legacy system；
2, set up multiple Data Analysis Model, from finite data, analyze beneficially traffic administration and control to greatest extent
The result of system, improves system work efficiency；
3, provide general external service interface, provide service for secondary development；
4, realize space and business datum shared mechanism, solve multicenter data interchange interconnection problem；
5, multistage controlled problem is solved, it is achieved the different stage mandate of urban traffic control command centre；
6, the application of " cloud computing, big data ", can be in mass data, severe network environment and complicated business disposition
Under, it is achieved a large amount of pictures, vehicle data, the transmission of network constantly of video data and quick and durableization storage.
Accompanying drawing explanation
Fig. 1 is urban expressway traffic information acquisition system software schematic diagram of the present invention.
Detailed description of the invention
Below in conjunction with the accompanying drawing of the present invention, the technical scheme of the embodiment of the present invention is carried out clear, complete description.
Shown in Fig. 1, disclosed urban expressway traffic information acquisition system software, including data acquisition
Unit, Data Management Unit, information process unit, integrated interface unit, user's applying unit, decision-making management unit.
Big for the traffic of collection data are collected converging and arranging and be stored in data base by described data acquisition unit,
The information of the big data of traffic mainly includes traffic flow information, traffic related information, vehicle peccancy information, weather information,
Vehicle fleet size, car speed, vehicle and headstock away from etc. the collection of information, wherein traffic flow is in a certain specific time period
The interior driving vehicle number by certain point, unit is/hour；Average speed: along road driving in a certain special time period
The arithmetic mean of instantaneous value of each car speed in certain length, unit is kilometer/hour；Occupation rate is to remove the time that detector is occupied
Total time it is multiplied by 100% with observation.The collection of these data can be acquired in several ways, such as detector collection, people
Work collection, Floating Car real time information (FCD) collection, air traffic remote sensing monitoring and traffic environment and meteorological detection etc..Wherein examine
Surveying device has a variety of mode to gather such as microwave radar, video, infrared and ground induction coil etc..Monitored gently by intelligent comprehensive simultaneously
Micro-vehicle accident data are carried out Quick Acquisition and are positioned by GIS.Intelligent comprehensive monitoring includes that the video docking of docking regards
Frequently monitoring system, illegal detecting system, cell-phone customer terminal capturing system etc. combine generalized information system and 110 alarm and command systems are mutual
Cooperation can quick lock in position notify traffic police in the shortest time and carry out traffic maintenance.
Big for traffic data are classified whole by distributed file system by described Data Management Unit data big to traffic
Manage in distributed data base, and define MDL and distributed data base, not only alleviate MDL burden thus
Fileinfo is made to carry out being divided into fritter to carry out storing in distributed data base, it is simple to manage and inquire about, concurrently disinfect
Unnecessary unwanted information.Can also embed the Web container of any support Java is run and be distributed simultaneously by independent operating
Formula file system is the core of Hadoop, by Hadoop platform, by acquired original data through data warehouse technology
(ETL) it is loaded into described Hadoop platform after processed, and by Hadoop, data after processing is stored distributed data
In storehouse and in MDL.And Hadoop has the feature of high fault tolerance, it is possible to be used for being deployed on cheap hardware, it is provided that high
Handling capacity carrys out the data of access application, and not only motility is high and with low cost.
Concrete, described traffic big data using data hierarchical storage mechanism and big data analysis solve with processing mode
The low delay of system, high concurrent transaction and efficient information processing and analysis.Described data staging memory mechanism includes many
Plant data message kernel model transformation to be dissolved in the kernel model in existing master data warehouse and by master data warehouse
Historical data and listings data move to described distributed data base.
First big data analysis builds big data analysis with process and is combined distributed variable-frequencypump with processing platform employing
Technology and real-time stream treatment technology data big to described traffic are analyzed and process, wherein distributed variable-frequencypump skill
Art, it is possible to by different location or there is difference in functionality, or have the multiple stage computer of different pieces of information by communication network even
Pick up, make multiple datatron work, in the unified management of control system simultaneously.Real-time stream treatment technology number big to traffic
Putting in storage time factually, data calculate in real time, it is ensured that the fast reaction of data, meet the real-time requirement of user.
Described big data analysis and processing platform include distributed storage layer, distributed treatment layer, Metadata Service layer, place
Reason analysis layer and traffic big data handling utility layer, be gradually completing the storage of the big data of traffic, process and divide by 5 levels
Analysis.Wherein, Treatment Analysis includes Complex event processing (CEP), analyzes and processes (RTAP) in real time, on-line analytical processing (OLAP),
Depth analysis (OLAM), and carry out structure recording and be stored for follow-up analysis reliable data are provided.
Described information process unit, will be stored in the data pick-up in distributed data base and MDL out
It is processed and includes cleaning, analyze and filter, data are examined again and verifies, and filter out incomplete data, weight
Multiple and wrong information, and the text with label is removed label, and information of seeking unity of standard.
Described integrated interface unit, is the most all turned interfaces different for each unit by SOA Services Oriented Achitecture
It is changed to Web server share, processes in the future to user application layer or the application request of other application systems, be linked to server
Data base in extracted data be supplied to requesting party, requesting party can open webpage by Web point at an arbitrary position and obtain and want
Information.
Described subscriber unit is customer-oriented terminal, and provides user authority management, point duty scheduling, induction information
The functions such as editor and issue, data statistic analysis, mobile terminal data propelling movement.System provides substantial amounts of Study on Trend and traffic
Study and judge, thus provide strong technical guarantee for traffic congestion improvement, public transport scheduling etc..System can be to Expressway Traffic
Flow data carries out statistical analysis, and provides data-printing output function easily such as such as line chart, pie chart, bar diagram etc..User can
With the needs according to oneself, the figure of random time section and arbitrary shape is selected to carry out printout.As:
1. road conditions situation
Road conditions situation mainly achieves the statistics to road condition current under each area under one's jurisdiction, different area under one's jurisdictions road conditions on map
Distribution display.
2. traffic congestion trend
(1) different statistical, timing statistics can be selected to carry out area under one's jurisdiction, section congestion data is added up, congestion tendency shows
Showing, block up peak period, section of the region occurred frequently that mainly includes blocking up, the section occurred frequently that blocks up, region blocks up peak period.
(2) can carry out area under one's jurisdiction with different statisticals, timing statistics, peak, section (early, evening peak) period statistics shows
Show.
Described decision analysis unit, is base data collecting unit, data processing unit, information process unit, integrated interface
Unit and the analysis and summary of user's applying unit also make new instruction or prediction, and the effect implementing each business unit is carried out
Assessment, sets, revises the functional objective of each business unit by the way of man-computer cooperation, determines the flow process of every Business Processing,
Specify and generate the method for each operational program, model and algorithm, update the working condition of system.Specifically include traffic administration list
Unit includes traffic guidance system, traffic events monitoring system, and system for traffic guiding and communications policy analyze system.
Wherein, demand is as core under battle conditions, based on GIS, by having with traffic police for the scheduling of traffic guidance system point duty
Imitate integrated built and newly-built system, build up integrated, a command scheduling integrated platform for mobilism, prediction scheme, meet normality
Under management daily on duty, traffic prediction scheme and simulation management, command scheduling management, emergency command dispose management, police strength management, hand over
Logical rescue and GIS geography information function.
Traffic incident detecting system docks 110 alarm and command systems and GIS map, high-definition video monitoring system etc., and acquisition regards
Frequently image information, system automatically processes and analyzes, it is achieved collection and the automatic inspection of various traffic events to traffic events
Surveying, including stopping, vehicle drives in the wrong direction, traffic congestion, Slow Down, pedestrian, sheds thing and smog episode detection etc..
Event generating mode is broadly divided into: need manual confirmation and manual entry three after automatically generating event, generation event
Kind.
When there is road traffic accident or emphasis event, system carries out automatization, intelligentized event early warning
Link with multisystem:
(1) automatically trigger traffic guidance system, and start corresponding traffic prediction scheme；
(2) induction information issue is carried out by system for traffic guiding；
(3) punishment etc. is carried out by traffic offence system.
The information medium medium that system for traffic guiding is the most certain, provides condition of road surface, warning warning letter to traffic participant
Breath, reminds, advises or controls traffic participant and select optimal track route, it is to avoid and reduce stroke delay and loss.Traffic
Information guiding published method can be divided into: induced screen, broadcast, mobile phone, vehicle mounted guidance etc..
Communications policy is analyzed system and is studied and judged analysis to traffic administration various information resource (road different time sections based on traffic
Flow, peak period etc.) carry out deep excavation, analysis is studied and judged, and maintenance and planning for city expressway provide strong technology
Support.
1. vehicle flowrate analysis
Statistics card is made a slip of the tongue car amount, can carry out classified statistic by bayonet socket, type of vehicle, number plate kind；And with time slice, press
Day, the moon, year carry out classified statistic.Statistical result represents with form and diagrammatic form.
2. block up multi-happening section analysis
Daily statistics urban district each congestion in road multi-happening section, and with descending ranking, realize by redness in GIS map simultaneously
It is identified.Carry out traffic index definition:
Sketching the contours of in GIS map, wherein " unimpeded " is described with bottle green, and " the most unimpeded " is carried out with light green color
Describe；" slightly block up " and describe with yellow；" moderate is blocked up " describes with brown；" heavy congestion " is retouched with redness
Paint.
3. traffic volume forecast
Traffic volume forecast is to formulate urban expressing system programme and carry out element task necessary to feasibility study.Directly
Connect and have influence on the laying of road Cross Section, the selection of grade separation pattern.
Traffic volume forecast, on the basis of the transport information gathered is analyzed, arranges, sets up correct prediction mathematical modulo
Outside type is predicted, after it is also necessary to take into account that urban expressing system construction, the captivation to traffic can be greatly enhanced, and makes a certain local go out
The improper growth of the existing volume of traffic, thus the series of negative impact such as cause the saturated time limit of road the most in advance, and in planning
Design phase, from building and in terms of operational management, proposes necessary solution.
The technology contents of the present invention and technical characteristic have revealed that as above, but those of ordinary skill in the art still may base
All replacements without departing substantially from spirit of the present invention and modification, therefore, scope is made in teachings of the present invention and announcement
The content disclosed in embodiment should be not limited to, and the various replacement without departing substantially from the present invention and modification should be included, and be this patent Shen
Please claim be contained.
Claims (9)
1. a urban expressway traffic information acquisition system, it is characterised in that include following business unit:
Data acquisition unit, the multi-source heterogeneous friendship that described data acquisition unit is obtained by acquisition mode and intelligent comprehensive monitoring
Logical big data are collected, converge and arrange and are stored in data base；
Data Management Unit, the big data of described traffic gathered based on described data acquisition unit by distributed file system and
Distributed data base data big to described traffic realize distributed storage, inquire about, back up, clear up；
The big data of described traffic of isomery in data base are carried out, analyze, filter and are formed and meet mark by information process unit
The item of information of alignment request；
Integrated interface unit, for processing the application request coming from application system and being supplied to standard compliant item of information ask
The side of asking；
User's applying unit, system-oriented user, and provide system configuration management, traffic events command scheduling system to system user
The induction of system, rapid transit road conditions and monitoring road conditions are issued with information；And
Decision-making management unit, the effect implementing each business unit is estimated, and sets, revises by the way of man-computer cooperation
The functional objective of each business unit, determine the flow process of every Business Processing, it is intended that generate the method for each operational program, model and calculation
Method, updates the working condition of system.
Traffic information acquisition system the most according to claim 1, it is characterised in that the big data using data of described traffic divides
Level memory mechanism and big data analysis solve at the low delay of system, high concurrent transaction and efficient information with processing mode
Reason and analysis.
Traffic information acquisition system the most according to claim 2, it is characterised in that described data staging memory mechanism includes
Kernel model transformation is dissolved in the kernel model in existing master data warehouse and by master data warehouse by multiple data message
In historical data and listings data move to described distributed data base.
Traffic information acquisition system the most according to claim 3, it is characterised in that described big data analysis is with process first
Build big data analysis and be combined distributed variable-frequencypump technology and real-time stream treatment technology with processing platform employing to institute
State the big data of traffic be analyzed and process.
Traffic information acquisition system the most according to claim 4, it is characterised in that described big data analysis and processing platform
Including distributed storage layer, distributed treatment layer, Metadata Service layer, Treatment Analysis layer and the big data handling utility of traffic
Layer.
Traffic information acquisition system the most according to claim 5, it is characterised in that described Treatment Analysis layer includes complicated thing
Part processes, and analyzes and processes in real time, on-line analytical processing, depth analysis.
Traffic information acquisition system the most according to claim 5, it is characterised in that described big data analysis and processing platform
Including Hadoop platform, acquired original data are loaded into described Hadoop after data warehouse technology (ETL) processed
Platform, and by Hadoop, data after processing are stored in distributed data base and in MDL, described Hadoop is for dividing
Cloth system infrastructure.
Traffic information acquisition system the most according to claim 1, it is characterised in that described traffic administration unit includes traffic
Command system, traffic events monitoring system, system for traffic guiding and communications policy analyze system.
Traffic information acquisition system the most according to claim 8, it is characterised in that described communications policy is analyzed system and included
Vehicle flowrate analyzes system, and the multi-happening section that blocks up analyzes system, traffic volume forecast system.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201610749329.7A CN106297291B (en) | 2016-08-29 | 2016-08-29 | Urban expressway traffic information acquisition system |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201610749329.7A CN106297291B (en) | 2016-08-29 | 2016-08-29 | Urban expressway traffic information acquisition system |
Publications (2)
| Publication Number | Publication Date |
|---|---|
| CN106297291A true CN106297291A (en) | 2017-01-04 |
| CN106297291B CN106297291B (en) | 2020-06-26 |
Family
ID=57677760
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN201610749329.7A Active CN106297291B (en) | 2016-08-29 | 2016-08-29 | Urban expressway traffic information acquisition system |
Country Status (1)
| Country | Link |
|---|---|
| CN (1) | CN106297291B (en) |
Cited By (23)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN106846815A (en) * | 2017-03-29 | 2017-06-13 | 深圳万智联合科技有限公司 | A kind of efficient intelligent traffic administration system big data analysis system |
| CN107729413A (en) * | 2017-09-25 | 2018-02-23 | 安徽畅通行交通信息服务有限公司 | Regional traffic intelligent management system based on big data |
| CN107729404A (en) * | 2017-09-25 | 2018-02-23 | 安徽畅通行交通信息服务有限公司 | A kind of region car statistics analysis and management system |
| CN107798876A (en) * | 2017-11-07 | 2018-03-13 | 上海炬宏信息技术有限公司 | Road traffic exception congestion determination methods based on event |
| CN108447257A (en) * | 2018-03-23 | 2018-08-24 | 四川高路交通信息工程有限公司 | A kind of traffic data analyzing method and system based on Web |
| CN108932255A (en) * | 2017-05-25 | 2018-12-04 | 北京万集科技股份有限公司 | A kind of vehicle integration capability analysis method and device |
| CN109147321A (en) * | 2018-08-23 | 2019-01-04 | 重庆文理学院 | ITS new model and its construction method and intelligent transportation system under Internet of Things |
| CN109218409A (en) * | 2018-08-16 | 2019-01-15 | 北京易华录信息技术股份有限公司 | Intelligent network connection automotive test monitoring and management platform based on broadband mobile internet |
| CN110415380A (en) * | 2019-08-26 | 2019-11-05 | 苏州金螳螂怡和科技有限公司 | The autonomous processing method of traffic accident and system |
| CN110807929A (en) * | 2019-11-07 | 2020-02-18 | 上海三吉电子工程有限公司 | Traffic police auxiliary command information analysis and research and judgment system |
| CN111462494A (en) * | 2020-04-16 | 2020-07-28 | 苏州工业园区测绘地理信息有限公司 | Traffic guidance information issuing system with standardized interfaces |
| CN111583647A (en) * | 2020-05-12 | 2020-08-25 | 安徽皖通科技股份有限公司 | Expressway Internet of things driving safety management system |
| CN111932876A (en) * | 2020-08-06 | 2020-11-13 | 南京慧尔视智能科技有限公司 | Road surface induction system and method based on wide area radar |
| CN111951573A (en) * | 2020-07-21 | 2020-11-17 | 华设设计集团股份有限公司 | Intelligent public transportation system and method based on vehicle-road cooperation technology |
| CN112017424A (en) * | 2019-05-31 | 2020-12-01 | 阿里巴巴集团控股有限公司 | Method and device for closed highway traffic emergency management and control |
| CN112133099A (en) * | 2020-09-28 | 2020-12-25 | 广州瀚信通信科技股份有限公司 | Intelligent traffic big data management method, system, equipment and medium based on 5G |
| CN112216104A (en) * | 2020-09-17 | 2021-01-12 | 广东新时空科技股份有限公司 | Urban intersection traffic flow prediction method based on multi-source data fusion |
| CN112687097A (en) * | 2020-11-16 | 2021-04-20 | 招商新智科技有限公司 | Highway highway section level data center platform system |
| CN112950929A (en) * | 2021-01-11 | 2021-06-11 | 张昕 | All-weather real-time traffic information monitoring and QOS hierarchical control system and method |
| CN113486125A (en) * | 2021-06-29 | 2021-10-08 | 北京德风新征程科技有限公司 | Industrial internet big data information processing terminal |
| CN113626534A (en) * | 2020-05-06 | 2021-11-09 | 北京邮电大学 | Graph online analysis mining technology framework and building method thereof |
| CN116363866A (en) * | 2022-12-23 | 2023-06-30 | 中科南京智能技术研究院 | Supervision system and method for intelligent traffic network |
| US11754410B1 (en) | 2022-07-11 | 2023-09-12 | Chengdu Qinchuan Iot Technology Co., Ltd. | Methods and internet of things systems for determining government traffic routes in smart cities |
Citations (14)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN1462019A (en) * | 2002-05-30 | 2003-12-17 | 深圳市威信智能技术有限公司 | Fully digitized traffic management and command system |
| US20050262209A1 (en) * | 2004-03-09 | 2005-11-24 | Mailshell, Inc. | System for email processing and analysis |
| US20080147866A1 (en) * | 2001-09-28 | 2008-06-19 | Level 3 Communications, Llc | Distributing requests across multiple content delivery networks based on subscriber policy |
| CN101493991A (en) * | 2009-02-20 | 2009-07-29 | 北京交通大学 | Method and device for obtaining traffic status based on sensor network |
| CN101727739A (en) * | 2008-10-31 | 2010-06-09 | 上海德通能源环保科技有限公司 | Ground road traffic real-time information issuing system |
| KR20100090081A (en) * | 2009-02-05 | 2010-08-13 | 한국도로공사 | The hybrid obu, traffic information collecting and servicing system using the same, method therewith and recording medium thereof |
| CN102055800A (en) * | 2010-12-13 | 2011-05-11 | 南京大学 | Traffic internet of things (IOT) layering system architecture based on information gathering |
| CN102870056A (en) * | 2010-03-19 | 2013-01-09 | 埃森哲环球服务有限公司 | Intelligent network |
| CN102982678A (en) * | 2012-11-28 | 2013-03-20 | 青岛海信网络科技股份有限公司 | Traffic data information service system and method for realizing traffic data information service |
| CN103065459A (en) * | 2011-10-18 | 2013-04-24 | 上海宝康电子控制工程有限公司 | Intelligent transportation integration control platform system based on Web geographical information system technology |
| CN103646311A (en) * | 2013-12-06 | 2014-03-19 | 因为科技无锡有限公司 | Traffic data service system |
| CN105187375A (en) * | 2015-06-16 | 2015-12-23 | 公安部交通管理科学研究所 | Hadoop ecological assembly scheduling service realization method and system based on agent service |
| CN105488641A (en) * | 2016-01-07 | 2016-04-13 | 东南大学 | Provincial highway operation management data center system and implementation method thereof |
| CN105677826A (en) * | 2016-01-04 | 2016-06-15 | 博康智能网络科技股份有限公司 | Resource management method for massive unstructured data |
-
2016
- 2016-08-29 CN CN201610749329.7A patent/CN106297291B/en active Active
Patent Citations (14)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| US20080147866A1 (en) * | 2001-09-28 | 2008-06-19 | Level 3 Communications, Llc | Distributing requests across multiple content delivery networks based on subscriber policy |
| CN1462019A (en) * | 2002-05-30 | 2003-12-17 | 深圳市威信智能技术有限公司 | Fully digitized traffic management and command system |
| US20050262209A1 (en) * | 2004-03-09 | 2005-11-24 | Mailshell, Inc. | System for email processing and analysis |
| CN101727739A (en) * | 2008-10-31 | 2010-06-09 | 上海德通能源环保科技有限公司 | Ground road traffic real-time information issuing system |
| KR20100090081A (en) * | 2009-02-05 | 2010-08-13 | 한국도로공사 | The hybrid obu, traffic information collecting and servicing system using the same, method therewith and recording medium thereof |
| CN101493991A (en) * | 2009-02-20 | 2009-07-29 | 北京交通大学 | Method and device for obtaining traffic status based on sensor network |
| CN102870056A (en) * | 2010-03-19 | 2013-01-09 | 埃森哲环球服务有限公司 | Intelligent network |
| CN102055800A (en) * | 2010-12-13 | 2011-05-11 | 南京大学 | Traffic internet of things (IOT) layering system architecture based on information gathering |
| CN103065459A (en) * | 2011-10-18 | 2013-04-24 | 上海宝康电子控制工程有限公司 | Intelligent transportation integration control platform system based on Web geographical information system technology |
| CN102982678A (en) * | 2012-11-28 | 2013-03-20 | 青岛海信网络科技股份有限公司 | Traffic data information service system and method for realizing traffic data information service |
| CN103646311A (en) * | 2013-12-06 | 2014-03-19 | 因为科技无锡有限公司 | Traffic data service system |
| CN105187375A (en) * | 2015-06-16 | 2015-12-23 | 公安部交通管理科学研究所 | Hadoop ecological assembly scheduling service realization method and system based on agent service |
| CN105677826A (en) * | 2016-01-04 | 2016-06-15 | 博康智能网络科技股份有限公司 | Resource management method for massive unstructured data |
| CN105488641A (en) * | 2016-01-07 | 2016-04-13 | 东南大学 | Provincial highway operation management data center system and implementation method thereof |
Non-Patent Citations (2)
| Title |
|---|
| 文孟飞: ""城市智能交通系统交通流协同优化与诱导关键技术研究"", 《中国博士学位论文全文数据库 工程科技Ⅱ辑》 * |
| 赵新勇: ""基于多源异构数据的高速公路交通安全评估方法"", 《中国博士学位论文全文数据库 工程科技Ⅱ辑刊》 * |
Cited By (30)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN106846815A (en) * | 2017-03-29 | 2017-06-13 | 深圳万智联合科技有限公司 | A kind of efficient intelligent traffic administration system big data analysis system |
| CN108932255A (en) * | 2017-05-25 | 2018-12-04 | 北京万集科技股份有限公司 | A kind of vehicle integration capability analysis method and device |
| CN108932255B (en) * | 2017-05-25 | 2022-01-14 | 北京万集科技股份有限公司 | Vehicle comprehensive capacity analysis method and device |
| CN107729413A (en) * | 2017-09-25 | 2018-02-23 | 安徽畅通行交通信息服务有限公司 | Regional traffic intelligent management system based on big data |
| CN107729404A (en) * | 2017-09-25 | 2018-02-23 | 安徽畅通行交通信息服务有限公司 | A kind of region car statistics analysis and management system |
| CN107729413B (en) * | 2017-09-25 | 2021-05-11 | 安徽畅通行交通信息服务有限公司 | Regional traffic intelligent management system based on big data |
| CN107798876A (en) * | 2017-11-07 | 2018-03-13 | 上海炬宏信息技术有限公司 | Road traffic exception congestion determination methods based on event |
| CN107798876B (en) * | 2017-11-07 | 2021-09-21 | 上海炬宏信息技术有限公司 | Road traffic abnormal jam judging method based on event |
| CN108447257B (en) * | 2018-03-23 | 2020-09-08 | 四川高路交通信息工程有限公司 | Web-based traffic data analysis method and system |
| CN108447257A (en) * | 2018-03-23 | 2018-08-24 | 四川高路交通信息工程有限公司 | A kind of traffic data analyzing method and system based on Web |
| CN109218409A (en) * | 2018-08-16 | 2019-01-15 | 北京易华录信息技术股份有限公司 | Intelligent network connection automotive test monitoring and management platform based on broadband mobile internet |
| CN109218409B (en) * | 2018-08-16 | 2021-09-28 | 北京易华录信息技术股份有限公司 | Intelligent networking automobile test monitoring and management platform based on broadband mobile internet |
| CN109147321A (en) * | 2018-08-23 | 2019-01-04 | 重庆文理学院 | ITS new model and its construction method and intelligent transportation system under Internet of Things |
| CN112017424A (en) * | 2019-05-31 | 2020-12-01 | 阿里巴巴集团控股有限公司 | Method and device for closed highway traffic emergency management and control |
| CN110415380A (en) * | 2019-08-26 | 2019-11-05 | 苏州金螳螂怡和科技有限公司 | The autonomous processing method of traffic accident and system |
| CN110807929A (en) * | 2019-11-07 | 2020-02-18 | 上海三吉电子工程有限公司 | Traffic police auxiliary command information analysis and research and judgment system |
| CN111462494A (en) * | 2020-04-16 | 2020-07-28 | 苏州工业园区测绘地理信息有限公司 | Traffic guidance information issuing system with standardized interfaces |
| CN113626534A (en) * | 2020-05-06 | 2021-11-09 | 北京邮电大学 | Graph online analysis mining technology framework and building method thereof |
| CN111583647A (en) * | 2020-05-12 | 2020-08-25 | 安徽皖通科技股份有限公司 | Expressway Internet of things driving safety management system |
| CN111951573A (en) * | 2020-07-21 | 2020-11-17 | 华设设计集团股份有限公司 | Intelligent public transportation system and method based on vehicle-road cooperation technology |
| CN111932876A (en) * | 2020-08-06 | 2020-11-13 | 南京慧尔视智能科技有限公司 | Road surface induction system and method based on wide area radar |
| CN112216104A (en) * | 2020-09-17 | 2021-01-12 | 广东新时空科技股份有限公司 | Urban intersection traffic flow prediction method based on multi-source data fusion |
| CN112133099A (en) * | 2020-09-28 | 2020-12-25 | 广州瀚信通信科技股份有限公司 | Intelligent traffic big data management method, system, equipment and medium based on 5G |
| CN112687097A (en) * | 2020-11-16 | 2021-04-20 | 招商新智科技有限公司 | Highway highway section level data center platform system |
| CN112950929A (en) * | 2021-01-11 | 2021-06-11 | 张昕 | All-weather real-time traffic information monitoring and QOS hierarchical control system and method |
| CN112950929B (en) * | 2021-01-11 | 2022-08-05 | 张昕 | All-weather real-time traffic information monitoring and QOS hierarchical control system and method |
| CN113486125A (en) * | 2021-06-29 | 2021-10-08 | 北京德风新征程科技有限公司 | Industrial internet big data information processing terminal |
| US11754410B1 (en) | 2022-07-11 | 2023-09-12 | Chengdu Qinchuan Iot Technology Co., Ltd. | Methods and internet of things systems for determining government traffic routes in smart cities |
| CN116363866A (en) * | 2022-12-23 | 2023-06-30 | 中科南京智能技术研究院 | Supervision system and method for intelligent traffic network |
| CN116363866B (en) * | 2022-12-23 | 2024-08-27 | 中科南京智能技术研究院 | Supervision system and method for intelligent traffic network |
Also Published As
| Publication number | Publication date |
|---|---|
| CN106297291B (en) | 2020-06-26 |
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| CN106297291A (en) | Urban expressway traffic information acquisition system | |
| CN108364494B (en) | Intelligent road traffic management method, system and platform | |
| CN106781592B (en) | A kind of traffic navigation system and method based on big data | |
| CN110378824A (en) | A kind of public security traffic control data brain and construction method | |
| CN109978741A (en) | Wisdom traffic information service application system and method based on cloud platform | |
| CN106056517A (en) | Smart city management system | |
| CN109272175A (en) | A kind of data collection system and method based on Urban Migrant network | |
| CN107665578A (en) | Management and control system and method is integrated based on the traffic that big data is studied and judged | |
| CN111710177B (en) | Intelligent traffic signal lamp networking cooperative optimization control system and control method | |
| CN105303877A (en) | Cloud technology platform-based urban airport traffic hub management system | |
| CN107729404A (en) | A kind of region car statistics analysis and management system | |
| CN103208194B (en) | A kind of urban traffic signal cooperative control system | |
| CN103093385A (en) | Scenic spot comprehensive management system based on three-dimensional geographic information system (GIS) | |
| JP6994203B2 (en) | Highway system for connected self-driving cars and methods using it | |
| CN113345253B (en) | Traffic flow array and signal cooperative control system | |
| Rogov et al. | Development of artificial intelligence systems for megacities transport infrastructure management | |
| WO2024012604A1 (en) | Intelligent parking management system based on internet of things | |
| CN108197760A (en) | A kind of airport traffic above-ground passenger traffic volume Forecasting Methodology | |
| CN105469223A (en) | Method and system for smart scenic spot service integrated management | |
| CN106920412A (en) | Suitable for the intelligent transportation runtime and method of bus or train route collaboration | |
| CN103701855B (en) | Based on LDM3province territory ITS big data cloud processing center build implementation method | |
| CN105957370A (en) | QoE-based traffic scheduling big data system and method | |
| CN108288113A (en) | A kind of airport traffic above-ground intelligent recommendation method | |
| CN111583699A (en) | Intelligent bus monitoring system | |
| CN114419897A (en) | Urban traffic CIM system based on V2X technology and display method thereof |
Legal Events
| Date | Code | Title | Description |
|---|---|---|---|
| C06 | Publication | ||
| PB01 | Publication | ||
| C10 | Entry into substantive examination | ||
| SE01 | Entry into force of request for substantive examination | ||
| GR01 | Patent grant | ||
| GR01 | Patent grant | ||
| TR01 | Transfer of patent right | ||
| TR01 | Transfer of patent right |
Effective date of registration: 20240402 Address after: 215004 room 211, office building, Shishan Street, building 1, No. 109, Dengwei Road, high tech Zone, Suzhou City, Jiangsu Province Patentee after: SUZHOU LANGJIETONG INTELLIGENT TECHNOLOGY Co.,Ltd. Country or region after: China Address before: 66 Wangmi Street, High tech Zone, Suzhou City, Jiangsu Province Patentee before: SUZHOU JINTANGLANG YIHE TECHNOLOGY CO.,LTD. Country or region before: China |