CN110428625A - A kind of wisdom traffic big data acquisition early warning system - Google Patents
A kind of wisdom traffic big data acquisition early warning system Download PDFInfo
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- CN110428625A CN110428625A CN201910741562.4A CN201910741562A CN110428625A CN 110428625 A CN110428625 A CN 110428625A CN 201910741562 A CN201910741562 A CN 201910741562A CN 110428625 A CN110428625 A CN 110428625A
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- G—PHYSICS
- G08—SIGNALLING
- G08G—TRAFFIC CONTROL SYSTEMS
- G08G1/00—Traffic control systems for road vehicles
- G08G1/01—Detecting movement of traffic to be counted or controlled
- G08G1/0104—Measuring and analyzing of parameters relative to traffic conditions
- G08G1/0125—Traffic data processing
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- G—PHYSICS
- G08—SIGNALLING
- G08G—TRAFFIC CONTROL SYSTEMS
- G08G1/00—Traffic control systems for road vehicles
- G08G1/01—Detecting movement of traffic to be counted or controlled
- G08G1/0104—Measuring and analyzing of parameters relative to traffic conditions
- G08G1/0125—Traffic data processing
- G08G1/0133—Traffic data processing for classifying traffic situation
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- G—PHYSICS
- G08—SIGNALLING
- G08G—TRAFFIC CONTROL SYSTEMS
- G08G1/00—Traffic control systems for road vehicles
- G08G1/09—Arrangements for giving variable traffic instructions
- G08G1/0962—Arrangements for giving variable traffic instructions having an indicator mounted inside the vehicle, e.g. giving voice messages
- G08G1/0967—Systems involving transmission of highway information, e.g. weather, speed limits
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- General Physics & Mathematics (AREA)
- Chemical & Material Sciences (AREA)
- Analytical Chemistry (AREA)
- Life Sciences & Earth Sciences (AREA)
- Atmospheric Sciences (AREA)
- Traffic Control Systems (AREA)
Abstract
The invention discloses a kind of wisdom traffic big datas to acquire early warning system, belongs to traffic prewarning technical field, including layer is issued in Information Level, process layer and early warning；The Information Level includes the acquisition of weather environment data, the acquisition of pavement behavior data and the acquisition of monitoring device data；The early warning publication layer is car-mounted terminal, and the car-mounted terminal is installed in the car, for playing warning information；The process layer includes central server, the central server include data processing module, traffic state judging module, traffic model build, database server and network transmission module, the traffic state judging module handles analysis data by data processing module, obtain whether traffic is crowded, then carries out building for traffic model.All data by acquiring road conditions is sent to central server, and central server carries out early warning, the generation that can effectively avoid traffic accident by judging traffic conditions.
Description
Technical field
The present invention relates to traffic prewarning technical field, in particular to a kind of wisdom traffic big data acquires early warning system.
Background technique
The continuous improvement of W and the level of urbanization with the rapid development of the automotive industry, urban congestion problem is more prominent, hands over
An important factor for oneself becomes restriction urban development for logical congestion, interferes people's trip.On the one hand, it quickly and effectively identifies and pre- test cross
Logical state is the element task for carrying out congested in traffic management to the congested in traffic dynamic early-warning that carries out.Congested in traffic dynamic early-warning is real
It is contained on border to congested in traffic quick identification and to the two aspect contents of accurate estimation of congested in traffic development trend, it is crowded pre-
It is alert to should be congested in traffic control effective decision support is provided, can the crowded developing state of Dynamic profiling, and be not limited in
Presentation description after crowded generation.On the other hand, quickly relieve traffic congestion stream at the beginning of formation, and avoiding congestion from further deteriorating is to hand over
The main purpose of logical congestion management and control, since traffic system has the characteristics that randomness, time variation and nonlinear, effectively
Crowded control strategy must suit the development and evanishment of congested in traffic situation in real time, rather than passive adaptation traffic flow
Change procedure, this requires congested in traffic Controlling models to have the ability of dynamically adapting and active control.
The weather condition of the existing big multiple-alarm road conditions of traffic prewarning system carries out early warning or road surface congested conditions early warning,
Warning function is single, can not combine road surface congested conditions or weather condition early warning to car owner's early warning, sometimes vehicle
Because of road vehicles congestion caused by weather, early warning system can only one-sided early warning, be easy to cause the section can not normal use, in advance
Alert system is that foundation carries out data processing early warning, but sometimes data equipment does not have by the big data of acquisition when early warning
Each place is spread to, therefore early warning is caused to update not in time, is easy to influence accuracy rate there are error.
Summary of the invention
The object of the invention is that having a single function to solve above-mentioned traffic prewarning, early warning is according to equipment acquisition road conditions letter
Breath, equipment, which breaks down, or universal range is small is easy to cause early warning the problem of error occur and provides a kind of big number of wisdom traffic
According to acquisition early warning system, have and artificially combine automatically, early warning is more accurate, the early warning that weather and road conditions jam situation combine
The more preferable advantage of effect.
The present invention is achieved through the following technical solutions above-mentioned purpose, and a kind of wisdom traffic big data acquires early warning system,
Layer is issued including Information Level, process layer and early warning；
The Information Level includes the acquisition of weather environment data, the acquisition of pavement behavior data and the acquisition of monitoring device data；
The early warning publication layer is car-mounted terminal, and the car-mounted terminal is installed in the car, for playing warning information；
The process layer includes central server, and the central server includes data processing module, traffic state judging
Module, traffic model are built, database server and network transmission module, the traffic state judging module pass through data processing
Resume module analyzes data, obtains whether traffic is crowded, then carry out building for traffic model, after traffic model is built
Warning information is issued to car-mounted terminal by network transmission module.
Preferably, the traffic state judging module includes automatic discrimination and artificial cognition, and wherein automatic discrimination is to be based on
The data of video image data, road conditions detection device and the shooting of road surface Aerial photography equipment judge whether road is crowded.
Preferably, the artificial cognition judges whether traffic gathers around using traffic-police's patrol and the artificial congestion information that uploads
It squeezes, the artificial congestion information that uploads can be uploaded using phone upload or network.
Preferably, the traffic state judging module determines each road section information by map GIS.
Preferably, the traffic model, which is built, is graphically shown congestion information by visualization model,
Visualization model is connect with the display screen on monitoring host computer.
Preferably, the weather environment data acquisition is for acquiring weather information, including rainwater, hail and big snowy day
Gas.
Preferably, the pavement behavior data acquisition is for acquiring surface conditions, including pavement maintenance and roadway congestion
Information.
Preferably, the monitoring device data acquisition is for acquiring overspeed of vehicle and accident information.
Compared with prior art, the beneficial effects of the present invention are:
1, road surface is acquired by the acquisition of weather environment data, the acquisition of pavement behavior data and the acquisition of monitoring device data respectively
Weather condition, if data are all sent to central server by normal use and vehicle congestion situation, and central server is logical
It crosses internal traffic state judging module and traffic model and builds judgement road conditions, and traffic model builds road surface and needs early warning
Section, monitoring room display is sent to by visualization model, facilitate supervisor pass through display watch the pre- alert in road surface
Condition, convenient for preventing traffic accident caused by due to road conditions problem, and traffic model is built early warning through network transmission module
The information in section is sent to car-mounted terminal, and user can understand the feelings in each section by car-mounted terminal in driving vehicle in detail
Condition, the convenient section for avoiding early warning in time.
2, traffic is judged by traffic state judging module, traffic state judging module uses automatic discrimination
Two ways is differentiated with artificial, by manually and the combination of big data, guaranteeing the accuracy of judgment basis, reducing the mistake of early warning
Difference.
Detailed description of the invention
Fig. 1 is overall system structure schematic diagram of the invention.
Fig. 2 is central server built-in system attachment structure schematic diagram of the invention.
Fig. 3 is traffic state judging inside modules system schematic of the invention.
Specific embodiment
Following will be combined with the drawings in the embodiments of the present invention, and technical solution in the embodiment of the present invention carries out clear, complete
Site preparation description, it is clear that described embodiments are only a part of the embodiments of the present invention, instead of all the embodiments.It is based on
Embodiment in the present invention, it is obtained by those of ordinary skill in the art without making creative efforts every other
Embodiment shall fall within the protection scope of the present invention.
It please refers to shown in Fig. 1-3, a kind of wisdom traffic big data acquires early warning system, including Information Level, process layer and pre-
Alert publication layer；The Information Level includes the acquisition of weather environment data, the acquisition of pavement behavior data and the acquisition of monitoring device data；Institute
Stating early warning publication layer is car-mounted terminal, and the car-mounted terminal is installed in the car, for playing warning information；The process layer includes
Central server, the central server include data processing module, traffic state judging module, traffic model build, data
Library server and network transmission module, the traffic state judging module handle analysis data by data processing module, obtain
Whether traffic is crowded, then carries out building for traffic model, and traffic model passes through network transmission module to vehicle after building
Mounted terminal issues warning information, and Information Level is used to acquire data, and process layer is used to handle data, and early warning publication layer is used to issue pre-
Alert information, process layer are handled by the data that internal data processing module receives Information Level, processed data are led to
Cross traffic state judging module judge the weather of the intensive traffic section, congestion and whether normal operation the case where, the friendship after passing through judgement
Access condition builds traffic model, generates Visual Chart according to model, shows the load conditions in each section, and to needs
The section of early warning is marked, and early warning road section information is sent to car-mounted terminal by network transmission module, provides to car owner pre-
Alert information, and data are saved in database server again.
The traffic state judging module includes automatic discrimination and artificial cognition, and wherein automatic discrimination is based on video image
The data of data, road conditions detection device and the shooting of road surface Aerial photography equipment judge whether road is crowded, and the artificial cognition is adopted
Judge whether traffic is crowded with traffic-police's patrol and artificial upload congestion information, the artificial congestion information that uploads can use phone
Upload or network upload, automatic discrimination is based on devices collect data, artificial to be afraid of Ji Yu artificially not upload data, by manually with set
Standby combines, even if equipment breaks down or some section equipment are not covered with, can also make traffic prewarning, reduce early warning
Error, the traffic state judging module determine that each road section information, map GIS use GPS and Orientation on map by map GIS
Section, and the information in section is obtained, title and the direction in early warning section are provided, the traffic model, which is built, passes through visualization model
Congestion information is graphically shown, visualization model is connect with the display screen on monitoring host computer, visualization model
The traffic model put up being shown to, which road conditions early warning shown, supervisor is facilitated to check, the meteorology ring
Border data are acquired for acquiring weather information, including rainwater, hail and heavy snow weather, and the system can also when weather anomaly is severe
To provide warning information to car owner, the pavement behavior data acquisition is for acquiring surface conditions, including pavement maintenance and road
Face congestion information, the monitoring device data acquisition is for acquiring overspeed of vehicle and accident information.
The electronic medical record system includes personal essential information, electronic health record, outpatient service record, be hospitalized record and health
Data, the basic health management service include physical examination management and vaccine management, and the medical services module includes outpatient service, acute disease
With examine department, the device management module includes plant maintenance and facility information, equipment include hospital Medical Devices and
Infrastructure device, the server cluster include data storage server, application server and network server, data storage service
Device is used to save electronic health record data, and for application server convenient for calling data from cloud big data platform, network server is real
The data sharing of existing cloud big data platform.
It is obvious to a person skilled in the art that invention is not limited to the details of the above exemplary embodiments, Er Qie
In the case where without departing substantially from spirit or essential attributes of the invention, the present invention can be realized in other specific forms.Therefore, no matter
From the point of view of which point, the present embodiments are to be considered as illustrative and not restrictive, and the scope of the present invention is by appended power
Benefit requires rather than above description limits, it is intended that all by what is fallen within the meaning and scope of the equivalent elements of the claims
Variation is included within the present invention.Any reference signs in the claims should not be construed as limiting the involved claims.
In addition, it should be understood that although this specification is described in terms of embodiments, but not each embodiment is only wrapped
Containing an independent technical solution, this description of the specification is merely for the sake of clarity, and those skilled in the art should
It considers the specification as a whole, the technical solutions in the various embodiments may also be suitably combined, forms those skilled in the art
The other embodiments being understood that.
Claims (8)
1. a kind of wisdom traffic big data acquires early warning system, it is characterised in that: issued including Information Level, process layer and early warning
Layer；
The Information Level includes the acquisition of weather environment data, the acquisition of pavement behavior data and the acquisition of monitoring device data；
The early warning publication layer is car-mounted terminal, and the car-mounted terminal is installed in the car, for playing warning information；
The process layer includes central server, the central server include data processing module, traffic state judging module,
Traffic model is built, database server and network transmission module, the traffic state judging module pass through data processing module
Processing analysis data, obtain whether traffic is crowded, then carry out building for traffic model, traffic model passes through after building
Network transmission module issues warning information to car-mounted terminal.
2. a kind of wisdom traffic big data according to claim 1 acquires early warning system, it is characterised in that: the traffic shape
State discrimination module includes automatic discrimination and artificial cognition, and wherein automatic discrimination is based on video image data, road conditions detection device
Judge whether road is crowded with the data of road surface Aerial photography equipment shooting.
3. a kind of wisdom traffic big data according to claim 2 acquires early warning system, it is characterised in that: described manually to sentence
Not Cai Yong traffic-police's patrol and it is artificial upload congestion information judge whether traffic crowded, artificial upload congestion information can use
Phone uploads or network uploads.
4. a kind of wisdom traffic big data according to claim 1 acquires early warning system, it is characterised in that: the traffic shape
State discrimination module determines each road section information by map GIS.
5. a kind of wisdom traffic big data according to claim 1 acquires early warning system, it is characterised in that: the traffic mould
Type, which is built, is graphically shown congestion information by visualization model, aobvious in visualization model and monitoring host computer
Display screen connection.
6. a kind of wisdom traffic big data according to claim 1 acquires early warning system, it is characterised in that: the meteorology ring
Border data are acquired for acquiring weather information, including rainwater, hail and heavy snow weather.
7. a kind of wisdom traffic big data according to claim 1 acquires early warning system, it is characterised in that: the road surface shape
Condition data are acquired for acquiring surface conditions, including pavement maintenance and roadway congestion information.
8. a kind of wisdom traffic big data according to claim 1 acquires early warning system, it is characterised in that: the monitoring is set
Standby data are acquired for acquiring overspeed of vehicle and accident information.
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Cited By (5)
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| CN111199655A (en) * | 2020-01-15 | 2020-05-26 | 南京佳得振隆新能源汽车有限公司 | Intelligent automobile interconnection exchange safety system |
| CN111341100A (en) * | 2020-02-28 | 2020-06-26 | 泉州寻鹿信息科技有限公司 | Traffic big data acquisition early warning system |
| CN111445714A (en) * | 2020-04-09 | 2020-07-24 | 安徽皖通科技股份有限公司 | Predictable severe weather analysis method for expressway |
| CN112466144A (en) * | 2021-02-03 | 2021-03-09 | 华睿交通科技有限公司 | Road network traffic situation management and control system |
| CN114724356A (en) * | 2021-12-28 | 2022-07-08 | 内蒙古自治区公安厅交通管理局 | GIS (geographic information system) highway accident early warning method and system based on meteorological data integration |
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Application publication date: 20191108 |