CN109671264A - A kind of road traffic accident method for early warning based on big data - Google Patents
A kind of road traffic accident method for early warning based on big data Download PDFInfo
- Publication number
- CN109671264A CN109671264A CN201710950205.XA CN201710950205A CN109671264A CN 109671264 A CN109671264 A CN 109671264A CN 201710950205 A CN201710950205 A CN 201710950205A CN 109671264 A CN109671264 A CN 109671264A
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- CN
- China
- Prior art keywords
- vehicle
- frequent accidents
- information
- big data
- highway
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- 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.)
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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
- G08G1/0125—Traffic data processing
- G08G1/0129—Traffic data processing for creating historical data or processing based on historical data
-
- 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
- G08G1/096733—Systems involving transmission of highway information, e.g. weather, speed limits where a selection of the information might take place
- G08G1/096741—Systems involving transmission of highway information, e.g. weather, speed limits where a selection of the information might take place where the source of the transmitted information selects which information to transmit to each vehicle
Abstract
The present invention provides a kind of road traffic accident method for early warning based on big data, includes the following steps: step 1: obtaining the accident information on highway；Step 2: Frequent Accidents section data set being formulated according to the accident information on highway, and is stored to cloud server；Step 3: obtaining the GPS information of vehicle on highway, the driving direction including vehicle and the distance apart from Frequent Accidents section, and be sent to cloud server；Step 4: cloud server judges whether to send warning information to vehicle according to the Frequent Accidents section data set of storage；If the driving direction of vehicle is directed towards Frequent Accidents section, and vehicle is less than threshold value at a distance from Frequent Accidents section, then sends warning information to vehicle；It is on the contrary then do not send.The present invention can issue warning information to driver in time, improve highway driving safety, and Optimizing Urban Transportation saves police strength resource.
Description
Technical field
The present invention relates to technical field of data processing technical fields, and in particular to a kind of highway communication thing based on big data
Therefore method for early warning.
Background technique
Big data analysis has the characteristics that data volume is big, query analysis is complicated compared to traditional data warehouse applications.Greatly
4 " V " of data, there are four levels for feature in other words: first, the data scale of construction is huge.From TB rank, PB rank is risen to；The
Two, data type is various.Previously mentioned network log, video, picture, geographical location information etc..Third, processing speed
Fastly, 1 second law, can be quickly obtained the information of high value from various types of data, and this point is also to dig with traditional data
Pick technology is essentially different.4th, as long as rationally carrying out correct, accurate analysis using data and to it, it will bring
Very high value return.Industry is summarized as, and 4 " V "-Volume (the data scale of construction is big), (data type is numerous by Variety
It is more), Velocity (processing speed is fast), Value (value density is low).
Cloud computing (cloud computing) is the increase, use and delivery mode of related service Internet-based, is led to
Often it is related to providing the resource of dynamic easily extension and often virtualization by internet.Cloud is a kind of ratio of network, internet
Explain saying.Past often indicates telecommunications network in figure with cloud, also is used to indicate the pumping of internet and underlying infrastructure later
As.Therefore, cloud computing even can allow you to experience the operational capability of 10 trillion times per second, and possessing so powerful computing capability can
With simulated-nuclear explosion, Prediction of Climate Change and market trend.User accesses number by modes such as computer, notebook, mobile phones
According to center, operation is carried out by the demand of oneself.
Urban transportation is more and more flourishing at present, and traffic accident is also more and more.Some sections because it is various either objectively or subjectively
Reason is easy to happen traffic accident.Current processing method is easily to send out section setting warning sign in accident or increase police strength, setting
Warning sign be often not easy by driver note that notice when easily sent out apart from accident very close, increase
Police strength then causes the police strength wasting of resources.
Summary of the invention
Goal of the invention: in view of the deficiency of the prior art, the present invention provides a kind of highway communication based on big data
Accidents early warning method.
Technical solution: to achieve the above object, the present invention adopts the following technical scheme:
A kind of road traffic accident method for early warning based on big data, includes the following steps:
Step 1: obtaining the accident information on highway；
Step 2: Frequent Accidents section data set being formulated according to the accident information on highway, and is stored to cloud server；
Step 3: obtaining the GPS information of vehicle on highway, driving direction including vehicle and apart from Frequent Accidents section
Distance, and it is sent to cloud server；
Step 4: cloud server judges whether that sending early warning to vehicle believes according to the Frequent Accidents section data set of storage
Breath；If the driving direction of vehicle is directed towards Frequent Accidents section, and vehicle is less than threshold value at a distance from Frequent Accidents section, then
Warning information is sent to vehicle；It is on the contrary then do not send.
Further, the receiving a crime report to record in data and obtain from traffic management department of the accident information in step 1.
Further, Frequent Accidents section data set includes the generation position of accident, occurrence frequency, reason occurs.
Further, the threshold value is 50-100m.
Further, the GPS information of vehicle is obtained by urban road monitor system.
Further, the warning information includes distance, the road conditions apart from Frequent Accidents section.
The utility model has the advantages that the present invention goes out the Frequent Accidents section on highway using big data analysis, and store to Cloud Server,
Then real-time vehicle information is uploaded to Cloud Server, compares fortune with the Frequent Accidents road section information stored in Cloud Server
It calculates, then warning information is sent to vehicle by Cloud Server, the present invention can issue warning information to driver in time, improve public
Road drive safety, Optimizing Urban Transportation save police strength resource.
Specific embodiment
Further explanation is done to the present invention below with reference to embodiment.
The present invention provides a kind of road traffic accident method for early warning based on big data, includes the following steps:
Step 1: from the accident information for recording and being obtained in data on highway of receiving a crime report of traffic management department, the hair including accident
Occurrence frequency, reason occurs for raw position；
Step 2: Frequent Accidents section data set being formulated according to the accident information on highway, and is stored to cloud server；
Step 3: the GPS information of vehicle on highway, the driving direction including vehicle are obtained by urban road monitor system
With the distance apart from Frequent Accidents section, and it is sent to cloud server；
Step 4: cloud server judges whether that sending early warning to vehicle believes according to the Frequent Accidents section data set of storage
Breath；If the driving direction of vehicle is directed towards Frequent Accidents section, and vehicle is less than threshold value at a distance from Frequent Accidents section, then
Warning information is sent to vehicle；It is on the contrary then do not send.The size of threshold value comprehensively considers the speed limit of highway, vehicle current driving speed
Degree, the present embodiment take 50-100m.
Warning information includes distance, the road conditions in the section, the accident pattern for being easiest to occur apart from Frequent Accidents section
Deng.Driver is reminded to pay attention to speed, front-and-rear vehicle distance from, pedestrian.
According to following embodiments, the present invention can be better understood.However, as it will be easily appreciated by one skilled in the art that real
It applies specific material proportion, process conditions and its result described in example and is merely to illustrate the present invention, without that should will not limit
The present invention described in detail in claims processed.
Claims (6)
1. a kind of road traffic accident method for early warning based on big data, which comprises the steps of:
Step 1: obtaining the accident information on highway；
Step 2: Frequent Accidents section data set being formulated according to the accident information on highway, and is stored to cloud server；
Step 3: the GPS information of vehicle on highway, the driving direction including vehicle and the distance apart from Frequent Accidents section are obtained,
And it is sent to cloud server；
Step 4: cloud server judges whether to send warning information to vehicle according to the Frequent Accidents section data set of storage；Such as
The driving direction of fruit vehicle is directed towards Frequent Accidents section, and vehicle is less than threshold value at a distance from Frequent Accidents section, then to vehicle
Send warning information；It is on the contrary then do not send.
2. a kind of road traffic accident big data processing method according to claim 1, which is characterized in that in step 1
Accident information is received a crime report to record in data and is obtained from traffic management department.
3. a kind of road traffic accident big data processing method according to claim 1, which is characterized in that Frequent Accidents road
Segment data set includes the generation position of accident, occurrence frequency, reason occurs.
4. a kind of road traffic accident big data processing method according to claim 1, which is characterized in that in step 4, institute
Stating threshold value is 50-100m.
5. a kind of road traffic accident big data processing method according to claim 1, which is characterized in that in step 3, vehicle
GPS information obtained by urban road monitor system.
6. a kind of road traffic accident big data processing method according to claim 1, which is characterized in that in step 4, institute
Stating warning information includes distance, the road conditions apart from Frequent Accidents section.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201710950205.XA CN109671264A (en) | 2017-10-13 | 2017-10-13 | A kind of road traffic accident method for early warning based on big data |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201710950205.XA CN109671264A (en) | 2017-10-13 | 2017-10-13 | A kind of road traffic accident method for early warning based on big data |
Publications (1)
| Publication Number | Publication Date |
|---|---|
| CN109671264A true CN109671264A (en) | 2019-04-23 |
Family
ID=66138621
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN201710950205.XA Withdrawn CN109671264A (en) | 2017-10-13 | 2017-10-13 | A kind of road traffic accident method for early warning based on big data |
Country Status (1)
| Country | Link |
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| CN (1) | CN109671264A (en) |
Cited By (5)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN111210604A (en) * | 2019-10-22 | 2020-05-29 | 高新兴创联科技有限公司 | Abnormal event early warning method based on railcar operation event correlation model |
| WO2022160301A1 (en) * | 2021-01-29 | 2022-08-04 | 华为技术有限公司 | Road early warning method, device, and system |
| CN114898549A (en) * | 2022-03-07 | 2022-08-12 | 上海市城市建设设计研究总院（集团）有限公司 | Information display system and method for road travel time and information board |
| CN115131958A (en) * | 2021-03-26 | 2022-09-30 | 上海博泰悦臻网络技术服务有限公司 | Jammed road condition pushing method and device, electronic equipment and storage medium |
| CN115366908A (en) * | 2022-09-22 | 2022-11-22 | 深圳市昊岳科技有限公司 | Automobile safe driving control system |
-
2017
- 2017-10-13 CN CN201710950205.XA patent/CN109671264A/en not_active Withdrawn
Cited By (9)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN111210604A (en) * | 2019-10-22 | 2020-05-29 | 高新兴创联科技有限公司 | Abnormal event early warning method based on railcar operation event correlation model |
| CN111210604B (en) * | 2019-10-22 | 2021-06-15 | 高新兴创联科技有限公司 | Abnormal event early warning method based on railcar operation event correlation model |
| WO2022160301A1 (en) * | 2021-01-29 | 2022-08-04 | 华为技术有限公司 | Road early warning method, device, and system |
| EP4276790A4 (en) * | 2021-01-29 | 2024-03-06 | Huawei Tech Co Ltd | Road early warning method, device, and system |
| CN115131958A (en) * | 2021-03-26 | 2022-09-30 | 上海博泰悦臻网络技术服务有限公司 | Jammed road condition pushing method and device, electronic equipment and storage medium |
| CN115131958B (en) * | 2021-03-26 | 2024-03-26 | 上海博泰悦臻网络技术服务有限公司 | Method and device for pushing congestion road conditions, electronic equipment and storage medium |
| CN114898549A (en) * | 2022-03-07 | 2022-08-12 | 上海市城市建设设计研究总院（集团）有限公司 | Information display system and method for road travel time and information board |
| CN114898549B (en) * | 2022-03-07 | 2023-10-10 | 上海市城市建设设计研究总院（集团）有限公司 | Highway travel time information display system, method and information board |
| CN115366908A (en) * | 2022-09-22 | 2022-11-22 | 深圳市昊岳科技有限公司 | Automobile safe driving control system |
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Legal Events
| Date | Code | Title | Description |
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| PB01 | Publication | ||
| PB01 | Publication | ||
| WW01 | Invention patent application withdrawn after publication |
Application publication date: 20190423 |
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| WW01 | Invention patent application withdrawn after publication |