CN106097716A - Traffic condition detection method based on big data - Google Patents
Traffic condition detection method based on big data Download PDFInfo
- Publication number
- CN106097716A CN106097716A CN201610644893.2A CN201610644893A CN106097716A CN 106097716 A CN106097716 A CN 106097716A CN 201610644893 A CN201610644893 A CN 201610644893A CN 106097716 A CN106097716 A CN 106097716A
- Authority
- CN
- China
- Prior art keywords
- road
- traffic condition
- big data
- traffic
- detection method
- 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.)
- Pending
Links
- 238000001514 detection method Methods 0.000 title claims abstract description 16
- 238000004458 analytical method Methods 0.000 claims description 5
- 235000013399 edible fruits Nutrition 0.000 claims 1
- 238000000034 method Methods 0.000 abstract description 6
- 230000000903 blocking effect Effects 0.000 description 3
- 238000010276 construction Methods 0.000 description 2
- 238000005516 engineering process Methods 0.000 description 2
- BYACHAOCSIPLCM-UHFFFAOYSA-N 2-[2-[bis(2-hydroxyethyl)amino]ethyl-(2-hydroxyethyl)amino]ethanol Chemical compound OCCN(CCO)CCN(CCO)CCO BYACHAOCSIPLCM-UHFFFAOYSA-N 0.000 description 1
- 230000009286 beneficial effect Effects 0.000 description 1
- 238000007405 data analysis Methods 0.000 description 1
- 238000007418 data mining Methods 0.000 description 1
- 238000004880 explosion 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
- G08G1/0108—Measuring and analyzing of parameters relative to traffic conditions based on the source of data
- G08G1/0116—Measuring and analyzing of parameters relative to traffic conditions based on the source of data from roadside infrastructure, e.g. beacons
-
- 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
Landscapes
- Chemical & Material Sciences (AREA)
- Analytical Chemistry (AREA)
- Physics & Mathematics (AREA)
- General Physics & Mathematics (AREA)
- Traffic Control Systems (AREA)
Abstract
The invention discloses a traffic condition detection method based on big data, and belongs to the technical field of computer big data. The traffic condition detection method based on big data comprises the following steps: s1: collecting traffic condition information of a road through a camera on the road; s2: uploading road traffic condition information acquired by a camera to a cloud server; s3: and the cloud server analyzes and classifies the received road traffic condition information and displays the information on a map. The traffic condition detection method based on big data can display the road traffic condition on the map in real time, and travelers can clearly know the road section traffic condition and select a proper travel road section according to the actual condition, so that the road traffic pressure is relieved, and the method has good popularization and application values.
Description
Technical field
The present invention relates to computer big data technique field, a kind of traffic detection sides based on big data of concrete offer
Method.
Background technology
Big data analysis, compared to traditional data warehouse applications, has the features such as data volume is big, query analysis is complicated.Greatly
The feature of data has four levels: first, and the data scale of construction is huge, from TB rank, rises to PB rank；Second, data type is numerous
Many, such as network log, video, picture, geographical location information etc..3rd, processing speed is fast, and 1 second law can be from various types of
Quickly obtaining the information of high value in the data of type, this point is also to be essentially different with traditional data mining technology；
4th, if Appropriate application data it is carried out correctly, analyzes accurately, it will bring the highest value to return.Industry will
It is big that it is summarized as 4 " V " Volume(data scale of constructions), Variety(data type various), Velocity(processing speed
Hurry up), Value(value density low).
Cloud computing (cloud computing) is increase, use and the delivery mode of related service based on the Internet, logical
Often relate to providing the most easily extension and the most virtualized resource by the Internet.Cloud is the one ratio of network, the Internet
Analogy saying.Past the most often represents telecommunications network with cloud, is the most also used for representing taking out of the Internet and underlying infrastructure
As.Therefore, cloud computing even can allow the operational capability of Consumer's Experience 10 TFlops per second, has the most powerful computing capability
Can be with simulated-nuclear explosion, Prediction of Climate Change and market trend.
Developing rapidly along with socioeconomic, people more and more select automobile as trip mode, so will certainly
Cause the traffic jam on road, add the traffic pressure of road major trunk roads, increase people's blocking up the time on road, give
Life brings the biggest inconvenience.
Summary of the invention
The technical assignment of the present invention is the problem for above-mentioned existence, it is provided that a kind of can be by real-time for road traffic condition aobvious
Showing on map, traveler can understand road section traffic volume situation clearly, selects suitably to go on a journey section according to practical situation, from
And alleviate the traffic detection methods based on big data of road traffic pressure.
For achieving the above object, the technical scheme is that
A kind of traffic detection method based on big data, comprises the following steps:
S1: by the traffic related information of the camera collection road on highway；
S2: the road traffic condition information of camera collection is uploaded to cloud server；
The road traffic condition information received is analyzed sorting out by S3: cloud server, is illustrated on map.
The traffic related information of road described in step S1 includes vehicle flowrate and vehicle flowrate picture.
The method gathers the information such as vehicle flowrate and the vehicle flowrate picture of road by the photographic head on Mei Tiao highway, then
The road traffic collected and vehicle flowrate picture are uploaded to cloud server.Cloud server is by these pictures, car
The information such as flow are analyzed sorting out, and are then illustrated on map.When traveler utilizes map inquiry route when, tap
The mark being marked on map, it is possible to obtaining the traffic pictorial information in certain section, vehicle flowrate jam situation is the most very clear.Go out
Passerby can be according to the real-time condition of inquiry, and local selection theed block up in section is detoured, and can slow down the traffic pressure of major trunk roads,
Also traveler blocking up the time on road can be reduced.When traveler finds to break rules and regulations as topic on picture, can report, and
And relevant award can be set, farthest eliminate the problem violating the regulations in each section.
As preferably, also comprise the steps: that S4: cloud server, by the analysis and arrangement to historical data, calculates
The peak of vehicle flowrate and free time, and result is reported authorities, authorities can be according to the result regulation reported
The information such as the time of crossroads traffic light.
As preferably, in step S2, the road traffic condition information of camera collection uploads to cloud server in real time, does
To displaying traffic condition in real time, improve the reliability of information.
Compared with prior art, the present invention has beneficial effect highlighted below: by of the present invention based on big number
According to traffic detection method traveler can be made to be apparent from transport information situation real-time on road, traveler is permissible
Select suitably to go on a journey section according to practical situation, thus save the travel time, alleviate road traffic pressure；Further, by this
Method can also make traffic grasp the peak of road traffic and free time, thus reasonably regulate crossroads traffic light time
Between etc. information.
Accompanying drawing explanation
Fig. 1 is the schematic flow sheet of traffic detection method based on big data of the present invention.
Detailed description of the invention
Below in conjunction with drawings and Examples, the traffic detection methods based on big data of the present invention are made further
Describe in detail.
Embodiment
As it is shown in figure 1, the traffic detection methods based on big data of the present invention comprise the following steps:
S1: by the traffic related information of the camera collection road on highway.
The traffic related information of road includes vehicle flowrate and vehicle flowrate picture.
S2: the road traffic condition information of camera collection is uploaded to cloud server.
The road traffic condition information received is analyzed sorting out by S3: cloud server, is illustrated on map.
S4: cloud server, by the analysis and arrangement to historical data, calculates peak and the free time of vehicle flowrate, and
Result is reported authorities.Authorities can be according to information such as the times of the result regulation crossroads traffic light reported.
Traffic detection method based on big data of the present invention is gathered by the photographic head on Mei Tiao highway
The information such as the vehicle flowrate on road and vehicle flowrate picture, then upload to cloud in real time by the road traffic collected and vehicle flowrate picture
End server.Cloud server, by these information such as picture, vehicle flowrate are analyzed classification, is then illustrated on map.
When traveler utilizes map inquiry route when, tap the mark being marked on map, it is possible to obtain the friendship in certain section
Logical pictorial information, vehicle flowrate jam situation is the most very clear.Traveler can block up in section according to the real-time condition of inquiry
Local selection is detoured, and can slow down the traffic pressure of major trunk roads, also can reduce traveler blocking up the time on road.Traveler
When picture finds problem violating the regulations, can report, and relevant award can be set, farthest eliminate each road
The problem violating the regulations of section.Cloud server, by the analysis and arrangement to historical data, calculates peak and the free time of vehicle flowrate,
And result is reported authorities, authorities can regulate the information such as the time of crossroads traffic light according to the result reported,
Farthest reduce road traffic pressure, convenient trip.
Embodiment described above, the simply present invention more preferably detailed description of the invention, those skilled in the art is at this
The usual variations and alternatives carried out in inventive technique aspects all should comprise within the scope of the present invention.
Claims (3)
1. a traffic detection method based on big data, it is characterised in that: comprise the following steps:
S1: by the traffic related information of the camera collection road on highway；
S2: the road traffic condition information of camera collection is uploaded to cloud server；
The road traffic condition information received is analyzed sorting out by S3: cloud server, is illustrated on map.
Traffic detection method based on big data the most according to claim 1, it is characterised in that: also include following step
Rapid:
S4: cloud server, by the analysis and arrangement to historical data, calculates peak and the free time of vehicle flowrate, and will knot
Fruit reports authorities.
Traffic detection method based on big data the most according to claim 1 and 2, it is characterised in that: in step S2
The road traffic condition information of camera collection uploads to cloud server in real time.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201610644893.2A CN106097716A (en) | 2016-08-09 | 2016-08-09 | Traffic condition detection method based on big data |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201610644893.2A CN106097716A (en) | 2016-08-09 | 2016-08-09 | Traffic condition detection method based on big data |
Publications (1)
| Publication Number | Publication Date |
|---|---|
| CN106097716A true CN106097716A (en) | 2016-11-09 |
Family
ID=57455286
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN201610644893.2A Pending CN106097716A (en) | 2016-08-09 | 2016-08-09 | Traffic condition detection method based on big data |
Country Status (1)
| Country | Link |
|---|---|
| CN (1) | CN106097716A (en) |
Cited By (2)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| 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 |
| US11079758B2 (en) | 2018-01-12 | 2021-08-03 | Toyota Research Institute, Inc. | Systems and methods for incentivizing user-aided improvement of autonomous vehicle control systems and methods of operating a vehicle using the same |
Citations (7)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN101540103A (en) * | 2008-03-17 | 2009-09-23 | 上海宝康电子控制工程有限公司 | Method and system for traffic information acquisition and event processing |
| 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 |
| CN103700254A (en) * | 2013-12-31 | 2014-04-02 | 同济大学 | Position service-based road condition sharing system |
| CN104535073A (en) * | 2014-12-31 | 2015-04-22 | 北京赛维安讯科技发展有限公司 | Road condition information display device and method and vehicle navigation system and method |
| CN105185113A (en) * | 2015-08-30 | 2015-12-23 | 武汉市蜡笔科技有限公司 | Application device for traffic camera traffic information acquisition based on image identification |
| CN105374208A (en) * | 2014-08-28 | 2016-03-02 | 杭州海康威视***技术有限公司 | Method for reminding user of road condition and detecting state of camera, and device thereof |
| US20160173882A1 (en) * | 2014-12-15 | 2016-06-16 | Miovision Technologies Incorporated | System and Method for Compressing Video Data |
-
2016
- 2016-08-09 CN CN201610644893.2A patent/CN106097716A/en active Pending
Patent Citations (7)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN101540103A (en) * | 2008-03-17 | 2009-09-23 | 上海宝康电子控制工程有限公司 | Method and system for traffic information acquisition and event processing |
| 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 |
| CN103700254A (en) * | 2013-12-31 | 2014-04-02 | 同济大学 | Position service-based road condition sharing system |
| CN105374208A (en) * | 2014-08-28 | 2016-03-02 | 杭州海康威视***技术有限公司 | Method for reminding user of road condition and detecting state of camera, and device thereof |
| US20160173882A1 (en) * | 2014-12-15 | 2016-06-16 | Miovision Technologies Incorporated | System and Method for Compressing Video Data |
| CN104535073A (en) * | 2014-12-31 | 2015-04-22 | 北京赛维安讯科技发展有限公司 | Road condition information display device and method and vehicle navigation system and method |
| CN105185113A (en) * | 2015-08-30 | 2015-12-23 | 武汉市蜡笔科技有限公司 | Application device for traffic camera traffic information acquisition based on image identification |
Cited By (2)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| 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 |
| US11079758B2 (en) | 2018-01-12 | 2021-08-03 | Toyota Research Institute, Inc. | Systems and methods for incentivizing user-aided improvement of autonomous vehicle control systems and methods of operating a vehicle using the same |
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| US11887376B2 (en) | Method and apparatus of estimating road condition, and method and apparatus of establishing road condition estimation model | |
| US10741062B2 (en) | Determination of a free-flow speed for a link segment | |
| EP3929805A1 (en) | Method and apparatus for identifying traffic accident, device and computer storage medium | |
| CN102903237B (en) | Device and method for traffic management service | |
| Kwak et al. | Seeing is believing: Sharing real-time visual traffic information via vehicular clouds | |
| US11993291B2 (en) | Neural networks for navigation of autonomous vehicles based upon predicted human intents | |
| CN114003672B (en) | Method, device, equipment and medium for processing road dynamic event | |
| US20210271876A1 (en) | Determining traffic control features based on telemetry patterns within digital image representations of vehicle telemetry data | |
| CN109410576A (en) | Road condition analyzing method, apparatus, storage medium and the system of multisource data fusion | |
| Das et al. | Determinants of time headway in staggered car-following conditions | |
| DE112021001926T5 (en) | SYSTEM AND METHOD FOR FILTERLESS THrottling OF VEHICLE EVENT DATA PROCESSING TO IDENTIFY PARKING AREAS | |
| CN106097716A (en) | Traffic condition detection method based on big data | |
| Chiguma | Analysis of side friction impacts on urban roads: Case study Dar-es-Salaam | |
| Yuan et al. | Multi-class traffic flow on a partially space-shared road | |
| Chen et al. | Traffic wave models for the urban road with a work zone | |
| CN114494843A (en) | Access port detection method and device, electronic equipment and storage medium | |
| Khadka et al. | Multicriteria Planning Framework for Regional Intersection Improvement Using Telematics Data of Connected Vehicles | |
| Bauer et al. | A qualitative and quantitative analysis of real time traffic information providers | |
| Fedorčák et al. | viaRODOS: monitoring and visualisation of current traffic situation on highways | |
| CN112541021A (en) | Route evaluation method, and scenic spot tour estimation duration calculation method and device | |
| Fazekas et al. | Detecting change in the urban road environment along a route based on traffic sign and crossroad data | |
| Zhang | Fusing Social Media and Traditional Traffic Data for Advanced Traveler Information and Travel Behavior Analysis | |
| CN113393011A (en) | Method, apparatus, computer device and medium for predicting speed limit information | |
| Ko et al. | Data communication and intelligence in traffic simulation environments: Simulation time and performance experiments | |
| CN106781470B (en) | Method and device for processing running speed of urban road |
Legal Events
| Date | Code | Title | Description |
|---|---|---|---|
| C06 | Publication | ||
| PB01 | Publication | ||
| C10 | Entry into substantive examination | ||
| SE01 | Entry into force of request for substantive examination | ||
| WD01 | Invention patent application deemed withdrawn after publication | ||
| WD01 | Invention patent application deemed withdrawn after publication |
Application publication date: 20161109 |