Urban road prediction analysis system based on big data
A technology of predictive analysis and big data, applied in the traffic control system, forecasting, traffic control system of road vehicles, etc., can solve problems such as strong subjectivity and can not meet the accuracy requirements of road traffic, and improve objectivity and reliability. , the effect of improving the effect
Inactive Publication Date: 2020-11-03
DUOLUN TECH CO LTD
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Problems solved by technology
In the existing technology, travelers usually obtain real-time traffic conditions through radio stations, special apps, etc., and judge future traffic congestion based on their own experience. However, this predictive analysis method is highly subjective and cannot meet the requirements Accuracy Requirements of Road Traffic Forecast
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[0024] The present invention will be further described in conjunction with the following application scenarios.
[0025] see figure 1 , which shows a big data-based urban road predictive analysis system, including: a roadside collection node 10, a database module 20 and a predictive analysis module 30 arranged in each road in the city;
[0026] The roadside collection node 10 is used for real-time collection of road information of urban roads, and sends the collected road information to the predictive analysis module 30;
[0027] The database module 20 is used to store the historical road information of urban roads for calling by the predictive analysis module 30;
[0028] The predictive analysis module 30 is used to predict the traffic condition of the road according to the road information collected by the roadside collection node 10 combined with the historical road information, and obtain the traffic prediction result of each road in the city.
[0029] In one embodiment,...
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The invention provides an urban road prediction and analysis system based on big data. The urban road prediction and analysis system comprises roadside acquisition nodes, a database module and a prediction and analysis module which are arranged in roads of a city, the roadside acquisition nodes are used for acquiring road information of an urban road in real time and sending the acquired road information to the prediction analysis module; the database module is used for storing historical road information of urban roads for the prediction analysis module to call; and the prediction analysis module is used for predicting the traffic condition of the road according to the road information acquired by the roadside acquisition node in combination with the historical road information to obtainthe traffic prediction result of each road in the city. According to the system, the traffic condition of the road is predicted by combining big data analysis, so that the objectivity and reliabilityof urban road traffic condition prediction can be improved.
Description
technical field [0001] The invention relates to the technical field of road management, in particular to an urban road prediction and analysis system based on big data. Background technique [0002] Traffic problems are closely related to people's lives. As a traveler, it is very necessary to obtain relevant route traffic status information in a timely manner. Reasonable planning of travel routes not only saves time and improves efficiency, but also ensures travel safety. Therefore, it is very necessary for travelers to obtain traffic status or local road status information in time. In the existing technology, travelers usually obtain real-time traffic conditions through radio stations, special apps, etc., and judge future traffic congestion based on their own experience. However, this predictive analysis method is highly subjective and cannot meet the requirements Accuracy requirements for road traffic forecasting. Contents of the invention [0003] In view of the above...
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Login to View More IPC IPC(8): G08G1/01G06Q10/04G06Q50/30
CPCG08G1/0129G08G1/0137G06Q10/04G06Q50/40
Inventor 郑培余陈波陈冰陶刚
Owner DUOLUN TECH CO LTD