CN108198439A - A kind of municipal intelligent traffic control method calculated based on mist - Google Patents
A kind of municipal intelligent traffic control method calculated based on mist Download PDFInfo
- Publication number
- CN108198439A CN108198439A CN201810069258.5A CN201810069258A CN108198439A CN 108198439 A CN108198439 A CN 108198439A CN 201810069258 A CN201810069258 A CN 201810069258A CN 108198439 A CN108198439 A CN 108198439A
- Authority
- CN
- China
- Prior art keywords
- traffic
- vehicle
- calculate node
- pedestrian
- data
- 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
Classifications
-
- G—PHYSICS
- G08—SIGNALLING
- G08G—TRAFFIC CONTROL SYSTEMS
- G08G1/00—Traffic control systems for road vehicles
- G08G1/07—Controlling traffic signals
Landscapes
- Physics & Mathematics (AREA)
- General Physics & Mathematics (AREA)
- Traffic Control Systems (AREA)
Abstract
The present invention discloses a kind of municipal intelligent traffic control method calculated based on mist, is related to data processing and field of sensing technologies；All kinds of sensing equipments for influencing urban transportation are interconnected by mist calculate node, collect the real time environments information such as vehicle, pedestrian, hot spot, road conditions, it is pooled to edge side, and can binding signal lamp realize in real time control, feed back optimization of vehicle route, improve the traffic of mist calculate node overlay area, and mist calculate node also periodically uploads the environmental aspect and traffic behavioral data in overlay area to high in the clouds, high in the clouds is made to be better understood by environmental information in region, optimizes vehicle programme path.
Description
Technical field
The present invention discloses a kind of municipal intelligent traffic control method calculated based on mist, is related to data processing and sensing technology
Field.
Background technology
With Internet of Things and the development of cloud computing, a large amount of physical hardware resources of high in the clouds site polymerization, and using virtual
Change technology realizes unified distribution, scheduling and the management of heterogeneous network computing resource, concentrates construction high in the clouds center that can drop significantly
Low calculating and the cost of storage.However it is more and more huger along with data volume, the rate of data transmission declines or even sometimes
Very big network delay is had, the appearance that mist calculates greatly improved this situation, such as real-time especially for edge side
Business, data-optimized, bandwidth limit, using many-sided demand such as intelligence, security and privacy, accelerate the development of mist calculating.
In recent years, urban transportation trip situation is worsening, traffic congestion not only to trip, life bring it is many not
Just, the environmental problems such as exhaust emissions and noise pollution are also resulted in.The present invention provides a kind of city intelligents calculated based on mist
All kinds of sensing equipments for influencing urban transportation by mist calculate node are interconnected, collect vehicle, row by traffic control method
The real time environments information such as people, hot spot, road conditions, is pooled to edge side, and can binding signal lamp realize control in real time, feedback vehicle is excellent
Change route, improve the traffic of mist calculate node overlay area, and mist calculate node also periodically uploads the area of coverage to high in the clouds
Environmental aspect and traffic behavioral data in domain make high in the clouds be better understood by environmental information in region, optimization vehicle rule
Draw route.
Invention content
The present invention in view of the deficiencies of the prior art and defect, provides a kind of municipal intelligent traffic controlling party calculated based on mist
Method, have the characteristics that it is versatile, be easy to implement, have broad application prospects.
Concrete scheme proposed by the present invention is：
The data that mist calculate node uploads are collected in a kind of municipal intelligent traffic control method calculated based on mist, high in the clouds, are carried out big
Data analysis, forms corresponding intelligent transportation prediction model, and prediction plans the best travel route of vehicle, and intelligent transportation is pre-
It surveys model and is sent to mist calculate node, the data of the sensing equipment acquisition in mist calculate node collection network overlay area are drawn
Traffic environment map in network's coverage area, with reference to the intelligent transportation prediction model from high in the clouds to vehicle in network's coverage area
It is analyzed in real time with the dynamic data of pedestrian, and analysis result and suggestion is fed back into vehicle and row in network's coverage area
People, while cooperating between the relevant intelligent terminal of traffic in regulating networks overlay area.
Sensing equipment is logical including picture pick-up device, weather detection devices, Vehicle Positioning Equipment, pedestrian's movement in the method
Believe equipment,
Picture pick-up device is used for monitoring pavement behavior and traffic situation,
Weather detection devices are used for the real-time weather situation in detection zone,
Vehicle Positioning Equipment is used for uploading positioning data of vehicles,
Pedestrian's mobile communication equipment is used for uploading pedestrian's location data, receives roading data and is handed over other intelligent terminals
Mutually.
It is whole to include Vehicular intelligent terminal, pedestrian's mobile communication equipment, traffic signalization for intelligent terminal in the method
End,
Vehicular intelligent terminal is used for the shared resource by applying for mist calculate node, realizes vehicle and vehicle in network's coverage area
Interconnection and vehicle intelligent terminal related to other traffic connection, plan vehicle line,
Pedestrian's mobile communication equipment is used for uploading pedestrian's location data, receives roading data and is handed over other intelligent terminals
Mutually
Traffic signalization terminal is used for receiving the signal control that the instruction of mist calculate node is completed, and to from mist calculate node
Information real-time show comes out to guide traffic.
In the method the specific steps are：
S1：High in the clouds carries out big data analysis using the mass historical data that mist calculate node uploads, and forms corresponding intelligent transportation
Prediction model,
S2：Intelligent transportation prediction model is distributed to mist calculate node by high in the clouds,
S3：All kinds of sensing equipments acquire traffic environment related data, upload to mist calculate node,
Wherein picture pick-up device monitoring pavement behavior and traffic situation identify road surface accident and upload to mist calculating section
Point,
Weather detection devices collect Weather information, while identify bad weather, and upload to mist calculate node,
S4：The traffic environment related data that mist calculate node is acquired according to sensing equipment draws traffic ring in network's coverage area
Condition figure in conjunction with the intelligent transportation prediction model in high in the clouds, carries out the dynamic data of vehicle in network's coverage area and pedestrian
Analysis in real time, and Vehicular intelligent terminal and pedestrian's mobile communication equipment send traveling planning proposal into network's coverage area, together
When regulating networks overlay area in traffic signalization terminal control intersection vehicle flux and carry out traffic guiding,
S5：Cycle performs step S1 to step S4, and mist calculate node Continuous optimization intelligent transportation prediction model simultaneously uploads to high in the clouds.
A kind of municipal intelligent traffic control system calculated based on mist includes high in the clouds, mist calculate node, sensing equipment, intelligence
Terminal,
Wherein the data that mist calculate node uploads are collected in high in the clouds, carry out big data analysis, form corresponding intelligent transportation prediction mould
Type, the best travel route of prediction planning vehicle, and intelligent transportation prediction model is sent to mist calculate node, mist calculate node
The data of sensing equipment acquisition in collection network overlay area, draw traffic environment map in network's coverage area, with reference to next
The dynamic data of vehicle in network's coverage area and pedestrian is analyzed in real time from the intelligent transportation prediction model in high in the clouds, and will
Analysis result and suggestion feed back to vehicle and pedestrian in network's coverage area, while related to traffic in regulating networks overlay area
Intelligent terminal between cooperation.
Sensing equipment is logical including picture pick-up device, weather detection devices, Vehicle Positioning Equipment, pedestrian's movement in the system
Believe equipment,
Picture pick-up device is used for monitoring pavement behavior and traffic situation,
Weather detection devices are used for the real-time weather situation in detection zone,
Vehicle Positioning Equipment is used for uploading positioning data of vehicles,
Pedestrian's mobile communication equipment is used for uploading pedestrian's location data, receives roading data and is handed over other intelligent terminals
Mutually.
It is whole to include Vehicular intelligent terminal, pedestrian's mobile communication equipment, traffic signalization for intelligent terminal in the system
End,
Vehicular intelligent terminal is used for the shared resource by applying for mist calculate node, realizes vehicle and vehicle in network's coverage area
Interconnection and vehicle intelligent terminal related to other traffic connection, plan vehicle line,
Pedestrian's mobile communication equipment is used for uploading pedestrian's location data, receives roading data and is handed over other intelligent terminals
Mutually
Traffic signalization terminal is used for receiving the signal control that the instruction of mist calculate node is completed, and to from mist calculate node
Information real-time show comes out to guide traffic.
Usefulness of the present invention is：
The present invention provides a kind of municipal intelligent traffic control methods calculated based on mist, will influence city by mist calculate node
All kinds of sensing equipments interconnection of traffic is got up, and is collected the real time environments information such as vehicle, pedestrian, hot spot, road conditions, is pooled to edge
Side, and traffic signalization end can be combined and realize control in real time, optimization of vehicle route is fed back, vehicle is by applying for mist calculate node
Shared resource, realize the interconnection (V2V) of the vehicle and vehicle in overlay area, the connection of vehicle and other traffic object correlations
（V2X）, better vehicle line is cooked up, realizes emergency traffic command automation, improves the friendship of mist calculate node overlay area
Logical situation promotes one's respective area comprehensive traffic quality and efficiency, and mist calculate node is also periodically uploaded to high in the clouds in overlay area
Environmental aspect and traffic behavioral data, high in the clouds is made to be better understood by environmental information in region, optimization vehicle planning road
Line.
Description of the drawings
Fig. 1 is the topological schematic diagram of present system；
Fig. 2 is the flow diagram of the method for the present invention.
Specific embodiment
The present invention provides a kind of municipal intelligent traffic control method calculated based on mist, and high in the clouds is collected mist calculate node and uploaded
Data, carry out big data analysis, form corresponding intelligent transportation prediction model, the best travel route of prediction planning vehicle,
And intelligent transportation prediction model is sent to mist calculate node, the sensing equipment in mist calculate node collection network overlay area is adopted
The data of collection draw traffic environment map in network's coverage area, with reference to the intelligent transportation prediction model from high in the clouds to network
Vehicle and the dynamic data of pedestrian are analyzed, and analysis result and suggestion are fed back to network coverage area in real time in overlay area
Vehicle and pedestrian in domain, while cooperating between the relevant intelligent terminal of traffic in regulating networks overlay area.
It provides simultaneously and includes cloud with a kind of corresponding municipal intelligent traffic control system calculated based on mist of the above method
End, mist calculate node, sensing equipment, intelligent terminal,
Wherein the data that mist calculate node uploads are collected in high in the clouds, carry out big data analysis, form corresponding intelligent transportation prediction mould
Type, the best travel route of prediction planning vehicle, and intelligent transportation prediction model is sent to mist calculate node, mist calculate node
The data of sensing equipment acquisition in collection network overlay area, draw traffic environment map in network's coverage area, with reference to next
The dynamic data of vehicle in network's coverage area and pedestrian is analyzed in real time from the intelligent transportation prediction model in high in the clouds, and will
Analysis result and suggestion feed back to vehicle and pedestrian in network's coverage area, while related to traffic in regulating networks overlay area
Intelligent terminal between cooperation.
Using the method for the present invention and system, the specific steps are：
S1：High in the clouds carries out big data analysis using the mass historical data that mist calculate node uploads, and forms corresponding intelligent transportation
Prediction model,
S2：Intelligent transportation prediction model is distributed to mist calculate node by high in the clouds,
S3：All kinds of sensing equipments acquire traffic environment related data, upload to mist calculate node,
Wherein picture pick-up device monitoring pavement behavior and traffic situation identify road surface accident and upload to mist calculating section
Point, picture pick-up device are mainly bayonet monitoring camera, obtain vehicle data, auxiliary enhancing vehicle positions in real time, and feeds back real-time
Vehicle flowrate situation monitors real-time accident, the emergency cases such as stream of people's aggregation that school goes to school and leaves school, car accident；
Weather detection devices collect the Weather informations such as humiture rainfall, while identify the bad weathers such as storm wind heavy rain, and upload to
Mist calculate node,
S4：The traffic environments such as vehicle flowrate situation that mist calculate node is acquired according to sensing equipment, emergency circumstances, weather condition
Related data draws traffic environment map in network's coverage area, in conjunction with the intelligent transportation prediction model in high in the clouds, network is covered
Vehicle and the dynamic data of pedestrian are analyzed in real time in cover area, and Vehicular intelligent terminal and pedestrian into network's coverage area
Mobile communication equipment sends traveling planning proposal, while traffic lights in regulated and control network overlay area, controls intersection vehicle flux,
And message is sent to road indicator, traffic guiding is carried out in real time,
S5：Cycle performs step S1 to step S4, and mist calculate node Continuous optimization intelligent transportation prediction model simultaneously uploads to high in the clouds.
Meet urban area to become more meticulous individual demand, pass through the cooperation of the traffic object correlation in one's respective area, promote one's respective area synthesis
Traffic quality and efficiency.
In the above method and system implementation process, mist calculate node center can provide satellite positioning base station, enhance city
A large amount of distributions are deployed in city by the precision and accuracy positioned under environment, such as 5G base stations, will as mist calculate node
It provides and calculates, stores, network service.Vehicle can be automobile, bicycle, electric vehicle etc., wherein for special vehicle, such as give first aid to
Vehicle, fire fighting truck etc., mist calculate node can be directed to ground and issue the planning of its travel route, facilitate the faster traveling of special vehicle；
And Vehicle Positioning Equipment is used for uploading positioning data of vehicles, and positioning device can be placed in Vehicular intelligent terminal, forms
Car-mounted device, car-mounted device includes core calculations unit, and with the cores sensing equipment such as GPS and Big Dipper positioning device, has simultaneously
Standby network connecting function, can directly communicate with mist calculate node；
And pedestrian's mobile communication equipment is often referred to smart mobile phone, not only can be used to upload pedestrian's location data, can also receive road
Layout data and with other intelligent terminal interactives.
Traffic signalization terminal refers mainly to Traffic signal control end and road indicator control in embodiments of the present invention
End processed, Traffic signal control end control crossroad traffic signal lamp, and road indicator control terminal controls road indicator, in real time
Carry out traffic guiding.
And in order to widely use the method for the present invention and system, it can be applied to more high in the clouds nodes and mist calculate section
Point, is not limited.
Assemble a large amount of computing resources using the method for the present invention high in the clouds, can be that vehicle is planned most with reference to its big data analysis
Good travel route；Mist calculate node can cover entire city, and traffic is acquired by the sensing equipment in its network coverage
Environmental information carries out data filtering integrated optimization, traffic route in unified plan region, and by fructufy when feeds back to the area of coverage
Vehicle, pedestrian in domain, while regulate and control the intelligent terminals such as belisha beacon and road indicator, provide edge side localization for it
Service promotes one's respective area comprehensive traffic quality and efficiency.
Claims (7)
1. a kind of municipal intelligent traffic control method calculated based on mist, it is characterized in that
The data that mist calculate node uploads are collected in high in the clouds, are carried out big data analysis, are formed corresponding intelligent transportation prediction model, in advance
Gauge draws the best travel route of vehicle, and intelligent transportation prediction model is sent to mist calculate node, and mist calculate node is collected
The data of sensing equipment acquisition in network's coverage area, draw traffic environment map in network's coverage area, with reference to from cloud
The intelligent transportation prediction model at end analyzes the dynamic data of vehicle in network's coverage area and pedestrian in real time, and will analysis
As a result feed back to vehicle and pedestrian in network's coverage area with suggestion, at the same in regulating networks overlay area with the relevant intelligence of traffic
Cooperation between energy terminal.
2. according to the method described in claim 1, it is characterized in that the sensing equipment include picture pick-up device, weather detection devices,
Vehicle Positioning Equipment, pedestrian's mobile communication equipment,
Picture pick-up device is used for monitoring pavement behavior and traffic situation,
Weather detection devices are used for the real-time weather situation in detection zone,
Vehicle Positioning Equipment is used for uploading positioning data of vehicles,
Pedestrian's mobile communication equipment is used for uploading pedestrian's location data, receives roading data and is handed over other intelligent terminals
Mutually.
3. method according to claim 1 or 2, it is characterized in that intelligent terminal includes Vehicular intelligent terminal, pedestrian's movement is led to
Believe equipment, traffic signalization terminal,
Vehicular intelligent terminal is used for the shared resource by applying for mist calculate node, realizes vehicle and vehicle in network's coverage area
Interconnection and vehicle intelligent terminal related to other traffic connection, plan vehicle line,
Pedestrian's mobile communication equipment is used for uploading pedestrian's location data, receives roading data and is handed over other intelligent terminals
Mutually
Traffic signalization terminal is used for receiving the signal control that the instruction of mist calculate node is completed, and to from mist calculate node
Information real-time show comes out to guide traffic.
4. according to the method described in claim 3, it is characterized in that the specific steps are：
S1：High in the clouds carries out big data analysis using the mass historical data that mist calculate node uploads, and forms corresponding intelligent transportation
Prediction model,
S2：Intelligent transportation prediction model is distributed to mist calculate node by high in the clouds,
S3：All kinds of sensing equipments acquire traffic environment related data, upload to mist calculate node,
Wherein picture pick-up device monitoring pavement behavior and traffic situation identify road surface accident and upload to mist calculating section
Point,
Weather detection devices collect Weather information, while identify bad weather, and upload to mist calculate node,
S4：The traffic environment related data that mist calculate node is acquired according to sensing equipment draws traffic ring in network's coverage area
Condition figure in conjunction with the intelligent transportation prediction model in high in the clouds, carries out the dynamic data of vehicle in network's coverage area and pedestrian
Analysis in real time, and Vehicular intelligent terminal and pedestrian's mobile communication equipment send traveling planning proposal into network's coverage area, together
When regulating networks overlay area in traffic signalization terminal control intersection vehicle flux and carry out traffic guiding,
S5：Cycle performs step S1 to step S4, and mist calculate node Continuous optimization intelligent transportation prediction model simultaneously uploads to high in the clouds.
5. a kind of municipal intelligent traffic control system calculated based on mist, it is characterized in that being set including high in the clouds, mist calculate node, sensing
Standby, intelligent terminal,
Wherein the data that mist calculate node uploads are collected in high in the clouds, carry out big data analysis, form corresponding intelligent transportation prediction mould
Type, the best travel route of prediction planning vehicle, and intelligent transportation prediction model is sent to mist calculate node, mist calculate node
The data of sensing equipment acquisition in collection network overlay area, draw traffic environment map in network's coverage area, with reference to next
The dynamic data of vehicle in network's coverage area and pedestrian is analyzed in real time from the intelligent transportation prediction model in high in the clouds, and will
Analysis result and suggestion feed back to vehicle and pedestrian in network's coverage area, while related to traffic in regulating networks overlay area
Intelligent terminal between cooperation.
6. system according to claim 5, it is characterized in that the sensing equipment include picture pick-up device, weather detection devices,
Vehicle Positioning Equipment, pedestrian's mobile communication equipment,
Picture pick-up device is used for monitoring pavement behavior and traffic situation,
Weather detection devices are used for the real-time weather situation in detection zone,
Vehicle Positioning Equipment is used for uploading positioning data of vehicles,
Pedestrian's mobile communication equipment is used for uploading pedestrian's location data, receives roading data and is handed over other intelligent terminals
Mutually.
7. system according to claim 5 or 6, it is characterized in that intelligent terminal includes Vehicular intelligent terminal, pedestrian's movement is led to
Believe equipment, traffic signalization terminal,
Vehicular intelligent terminal is used for the shared resource by applying for mist calculate node, realizes vehicle and vehicle in network's coverage area
Interconnection and vehicle intelligent terminal related to other traffic connection, plan vehicle line,
Pedestrian's mobile communication equipment is used for uploading pedestrian's location data, receives roading data and is handed over other intelligent terminals
Mutually
Traffic signalization terminal is used for receiving the signal control that the instruction of mist calculate node is completed, and to from mist calculate node
Information real-time show comes out to guide traffic.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201810069258.5A CN108198439B (en) | 2018-01-24 | 2018-01-24 | Urban intelligent traffic control method based on fog calculation |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201810069258.5A CN108198439B (en) | 2018-01-24 | 2018-01-24 | Urban intelligent traffic control method based on fog calculation |
Publications (2)
| Publication Number | Publication Date |
|---|---|
| CN108198439A true CN108198439A (en) | 2018-06-22 |
| CN108198439B CN108198439B (en) | 2021-05-14 |
Family
ID=62590972
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN201810069258.5A Active CN108198439B (en) | 2018-01-24 | 2018-01-24 | Urban intelligent traffic control method based on fog calculation |
Country Status (1)
| Country | Link |
|---|---|
| CN (1) | CN108198439B (en) |
Cited By (15)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN108922186A (en) * | 2018-07-20 | 2018-11-30 | 大连理工大学 | It is a kind of that analyzing and alarming system and method are monitored based on the streaming for vehicle that mist calculates |
| CN109785631A (en) * | 2019-03-12 | 2019-05-21 | 大连海事大学 | A kind of highway traffic data Intellisense towards traffic dispersion and distribution network framework |
| CN109831522A (en) * | 2019-03-11 | 2019-05-31 | 西南交通大学 | A kind of vehicle connection cloud and mist system dynamic resource Optimal Management System and method based on SMDP |
| CN110138847A (en) * | 2019-04-30 | 2019-08-16 | 广东利通科技投资有限公司 | Wisdom traffic communication station and communication system |
| CN110166535A (en) * | 2019-04-30 | 2019-08-23 | 广东利通科技投资有限公司 | Wisdom traffic communication system |
| CN110287945A (en) * | 2019-07-04 | 2019-09-27 | 山东浪潮人工智能研究院有限公司 | Unmanned plane target detection method under a kind of 5G environment |
| CN111445696A (en) * | 2020-03-11 | 2020-07-24 | 武汉大学深圳研究院 | Signal lamp intersection traffic data detection method based on quotient filter edge calculation |
| CN111726407A (en) * | 2020-06-17 | 2020-09-29 | 浙大城市学院 | Fog calculation monitoring technology for famous flowers and medicinal plants cultivation in intelligent plant factory environment |
| CN112489459A (en) * | 2020-11-18 | 2021-03-12 | 韶关学院 | Intelligent traffic management system |
| CN113037984A (en) * | 2021-04-22 | 2021-06-25 | 西南石油大学 | Oil and gas station yard safety combined monitoring system and method based on fog calculation |
| CN114005272A (en) * | 2021-09-30 | 2022-02-01 | 淮阴工学院 | Road traffic regulation and control method based on 5G cloud computing terminal |
| CN114038214A (en) * | 2021-10-21 | 2022-02-11 | 哈尔滨师范大学 | Urban traffic signal control system |
| CN114241762A (en) * | 2021-12-14 | 2022-03-25 | 深圳市鹏城交通网络股份有限公司 | Data acquisition and analysis system is synthesized to wisdom urban traffic based on thing networking |
| US11481281B2 (en) | 2020-06-11 | 2022-10-25 | International Business Machines Corporation | Predictive fog computing in an edge device |
| CN116600453A (en) * | 2023-05-23 | 2023-08-15 | 深圳市海凌科电子有限公司 | Distributed lamp control system and control method thereof |
Citations (12)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| WO2008139470A1 (en) * | 2007-05-14 | 2008-11-20 | Red Wall (D.S.) Ltd. | An intersection-located driver alert system |
| CN201170927Y (en) * | 2007-10-16 | 2008-12-24 | 余亚莉 | Intelligent dust type traffic sensor and signal control network and message transmission system thereof |
| CN101777253A (en) * | 2009-12-24 | 2010-07-14 | 戴磊 | Real-time road condition acquiring, analyzing and back-feeding and intelligent transportation integrated service system |
| EP2482266A1 (en) * | 2011-01-31 | 2012-08-01 | Continental Automotive GmbH | Information system for transmitting messages between traffic participants |
| CN103078930A (en) * | 2012-12-31 | 2013-05-01 | 广东工业大学 | Information distribution system based on vehicle internet |
| CN104574251A (en) * | 2015-01-06 | 2015-04-29 | 熊国顺 | Intelligent public safety information system and application method |
| CN106060148A (en) * | 2016-06-24 | 2016-10-26 | 华东师范大学 | Vehicle information secure collection method applicable to fog computing in intelligent traffic light system |
| CN106548646A (en) * | 2016-11-08 | 2017-03-29 | 西安电子科技大学宁波信息技术研究院 | Road information service system and method when being blocked up based on the city that mist is calculated |
| CN106846805A (en) * | 2017-03-06 | 2017-06-13 | 南京多伦科技股份有限公司 | A kind of dynamic road grid traffic needing forecasting method and its system |
| CN107071033A (en) * | 2017-04-20 | 2017-08-18 | 济南浪潮高新科技投资发展有限公司 | A kind of car networking deployment system calculated based on mist |
| CN107249169A (en) * | 2017-05-31 | 2017-10-13 | 厦门大学 | Event driven method of data capture based on mist node under In-vehicle networking environment |
| CN107564310A (en) * | 2017-10-20 | 2018-01-09 | 宋乃华 | A kind of bus or train route interacted system and method based on the processing of Traffic Information cloud |
-
2018
- 2018-01-24 CN CN201810069258.5A patent/CN108198439B/en active Active
Patent Citations (12)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| WO2008139470A1 (en) * | 2007-05-14 | 2008-11-20 | Red Wall (D.S.) Ltd. | An intersection-located driver alert system |
| CN201170927Y (en) * | 2007-10-16 | 2008-12-24 | 余亚莉 | Intelligent dust type traffic sensor and signal control network and message transmission system thereof |
| CN101777253A (en) * | 2009-12-24 | 2010-07-14 | 戴磊 | Real-time road condition acquiring, analyzing and back-feeding and intelligent transportation integrated service system |
| EP2482266A1 (en) * | 2011-01-31 | 2012-08-01 | Continental Automotive GmbH | Information system for transmitting messages between traffic participants |
| CN103078930A (en) * | 2012-12-31 | 2013-05-01 | 广东工业大学 | Information distribution system based on vehicle internet |
| CN104574251A (en) * | 2015-01-06 | 2015-04-29 | 熊国顺 | Intelligent public safety information system and application method |
| CN106060148A (en) * | 2016-06-24 | 2016-10-26 | 华东师范大学 | Vehicle information secure collection method applicable to fog computing in intelligent traffic light system |
| CN106548646A (en) * | 2016-11-08 | 2017-03-29 | 西安电子科技大学宁波信息技术研究院 | Road information service system and method when being blocked up based on the city that mist is calculated |
| CN106846805A (en) * | 2017-03-06 | 2017-06-13 | 南京多伦科技股份有限公司 | A kind of dynamic road grid traffic needing forecasting method and its system |
| CN107071033A (en) * | 2017-04-20 | 2017-08-18 | 济南浪潮高新科技投资发展有限公司 | A kind of car networking deployment system calculated based on mist |
| CN107249169A (en) * | 2017-05-31 | 2017-10-13 | 厦门大学 | Event driven method of data capture based on mist node under In-vehicle networking environment |
| CN107564310A (en) * | 2017-10-20 | 2018-01-09 | 宋乃华 | A kind of bus or train route interacted system and method based on the processing of Traffic Information cloud |
Non-Patent Citations (2)
| Title |
|---|
| KASHIF BILAL,OSMAN KHALID,AIMAN ERBAD,SAMEE U. KHAN: "Potentials, trends, and prospects in edge technologies: Fog, cloudlet,", 《COMPUTER NETWORKS》 * |
| 郭平: "雾计算环境下车联网优化部署与规模测算", 《中国优秀硕士学位论文全文数据库(信息科技辑)》 * |
Cited By (23)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN108922186B (en) * | 2018-07-20 | 2019-10-11 | 大连理工大学 | It is a kind of that analyzing and alarming system and method are monitored based on the streaming for vehicle that mist calculates |
| CN108922186A (en) * | 2018-07-20 | 2018-11-30 | 大连理工大学 | It is a kind of that analyzing and alarming system and method are monitored based on the streaming for vehicle that mist calculates |
| CN109831522A (en) * | 2019-03-11 | 2019-05-31 | 西南交通大学 | A kind of vehicle connection cloud and mist system dynamic resource Optimal Management System and method based on SMDP |
| CN109785631A (en) * | 2019-03-12 | 2019-05-21 | 大连海事大学 | A kind of highway traffic data Intellisense towards traffic dispersion and distribution network framework |
| CN109785631B (en) * | 2019-03-12 | 2021-08-24 | 大连海事大学 | Traffic dispersion-oriented road traffic data intelligent sensing and distribution network architecture |
| CN110138847A (en) * | 2019-04-30 | 2019-08-16 | 广东利通科技投资有限公司 | Wisdom traffic communication station and communication system |
| CN110166535A (en) * | 2019-04-30 | 2019-08-23 | 广东利通科技投资有限公司 | Wisdom traffic communication system |
| CN110166535B (en) * | 2019-04-30 | 2022-12-20 | 广东利通科技投资有限公司 | Intelligent traffic communication system |
| CN110287945A (en) * | 2019-07-04 | 2019-09-27 | 山东浪潮人工智能研究院有限公司 | Unmanned plane target detection method under a kind of 5G environment |
| CN111445696A (en) * | 2020-03-11 | 2020-07-24 | 武汉大学深圳研究院 | Signal lamp intersection traffic data detection method based on quotient filter edge calculation |
| CN111445696B (en) * | 2020-03-11 | 2022-05-20 | 武汉大学深圳研究院 | Signal lamp intersection traffic data detection method based on quotient filter edge calculation |
| US11481281B2 (en) | 2020-06-11 | 2022-10-25 | International Business Machines Corporation | Predictive fog computing in an edge device |
| CN111726407A (en) * | 2020-06-17 | 2020-09-29 | 浙大城市学院 | Fog calculation monitoring technology for famous flowers and medicinal plants cultivation in intelligent plant factory environment |
| CN112489459A (en) * | 2020-11-18 | 2021-03-12 | 韶关学院 | Intelligent traffic management system |
| CN113037984A (en) * | 2021-04-22 | 2021-06-25 | 西南石油大学 | Oil and gas station yard safety combined monitoring system and method based on fog calculation |
| CN113037984B (en) * | 2021-04-22 | 2022-04-12 | 西南石油大学 | Oil and gas station yard safety combined monitoring system and method based on fog calculation |
| CN114005272A (en) * | 2021-09-30 | 2022-02-01 | 淮阴工学院 | Road traffic regulation and control method based on 5G cloud computing terminal |
| CN114038214B (en) * | 2021-10-21 | 2022-05-27 | 哈尔滨师范大学 | Urban traffic signal control system |
| CN114038214A (en) * | 2021-10-21 | 2022-02-11 | 哈尔滨师范大学 | Urban traffic signal control system |
| CN114241762A (en) * | 2021-12-14 | 2022-03-25 | 深圳市鹏城交通网络股份有限公司 | Data acquisition and analysis system is synthesized to wisdom urban traffic based on thing networking |
| CN114241762B (en) * | 2021-12-14 | 2022-11-15 | 深圳市鹏城交通网络股份有限公司 | Smart city traffic comprehensive data acquisition and analysis system based on Internet of things |
| CN116600453A (en) * | 2023-05-23 | 2023-08-15 | 深圳市海凌科电子有限公司 | Distributed lamp control system and control method thereof |
| CN116600453B (en) * | 2023-05-23 | 2024-04-09 | 深圳市海凌科电子有限公司 | Distributed lamp control system and control method thereof |
Also Published As
| Publication number | Publication date |
|---|---|
| CN108198439B (en) | 2021-05-14 |
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| CN108198439A (en) | A kind of municipal intelligent traffic control method calculated based on mist | |
| CN110111575B (en) | Urban traffic flow network analysis method based on complex network theory | |
| CN102547612B (en) | Use the Information Collection System of multi radio remote information process device | |
| CN105825666B (en) | City sprinkling truck intelligent dispatching method based on pavement humidity detection | |
| EP3054721B1 (en) | Traffic adjustment for variable network state | |
| CN102110364B (en) | Traffic information processing method and traffic information processing device based on intersections and sections | |
| CN104680820B (en) | Traffic flow car networking system and traffic flow control method based on gradient field | |
| CN103364002A (en) | Route planning system and method combining real-time road conditions and public transport operation information | |
| CN107564310A (en) | A kind of bus or train route interacted system and method based on the processing of Traffic Information cloud | |
| CN102968909A (en) | System and method for remotely and intelligently recognizing road vehicle jam | |
| CN102819950A (en) | Carrying aid decision making system and method for traffic tool | |
| CN111882867A (en) | City wisdom traffic early warning system based on thing networking | |
| CN101436346A (en) | Traffic intelligent management system and method | |
| CN104318797B (en) | A kind of Beidou navigation car-mounted terminal with urban traffic guidance function and system | |
| CN107170271B (en) | Regional management scheduling method and system for Internet of vehicles | |
| CN108205892A (en) | A kind of method of traffic events active detecting and trackside intelligent information terminal | |
| CN105070057A (en) | Real-time road traffic monitoring method | |
| CN117651848A (en) | Method and system for planning and decision-making of road rights of vehicle-road cooperation multiple vehicle paths and roadbed unit | |
| CN108171968A (en) | The road condition analyzing system and method for position data based on mobile terminal device signaling | |
| CN105096625A (en) | Method of acquiring real-time road condition information, system and server | |
| CN102800212A (en) | Intelligent parking system in environment of internet of things | |
| CN104599499A (en) | Distributed statistic method and device for traffic position | |
| CN104252778A (en) | Traffic information collecting, processing and publishing method, device and system | |
| CN105185103A (en) | Road travel time management and control method | |
| CN114419897A (en) | Urban traffic CIM system based on V2X technology and display method thereof |
Legal Events
| Date | Code | Title | Description |
|---|---|---|---|
| PB01 | Publication | ||
| PB01 | Publication | ||
| SE01 | Entry into force of request for substantive examination | ||
| SE01 | Entry into force of request for substantive examination | ||
| TA01 | Transfer of patent application right |
Effective date of registration: 20210423 Address after: 250100 Ji'nan high tech Zone, Shandong, No. 1036 wave road Applicant after: INSPUR GROUP Co.,Ltd. Address before: 250100, Ji'nan province high tech Zone, Sun Village Branch Road, No. 2877, building, floor, building, on the first floor Applicant before: JINAN INSPUR HI-TECH INVESTMENT AND DEVELOPMENT Co.,Ltd. |
|
| TA01 | Transfer of patent application right | ||
| GR01 | Patent grant | ||
| GR01 | Patent grant |