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A traffic forecasting method and device

A traffic prediction and traffic technology, applied in the field of big data analysis, can solve the problem of low accuracy of traffic prediction results, and achieve the effect of improving accuracy

Active Publication Date: 2022-04-05
HANGZHOU HIKVISION DIGITAL TECH
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0004] It can be seen that in the existing technology, the traffic at the time to be predicted is predicted only based on the real traffic at multiple times belonging to the same forecast period as the time to be predicted, which may lead to low accuracy of the traffic forecast result

Method used

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  • A traffic forecasting method and device
  • A traffic forecasting method and device
  • A traffic forecasting method and device

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Embodiment Construction

[0050] The following will clearly and completely describe the technical solutions in the embodiments of the application with reference to the drawings in the embodiments of the application. Apparently, the described embodiments are only some of the embodiments of the application, not all of them. Based on the embodiments in this application, all other embodiments obtained by persons of ordinary skill in the art without making creative efforts belong to the scope of protection of this application.

[0051] In the prior art, the traffic at the time to be predicted is predicted only based on the real traffic at multiple times belonging to the same forecast period as the time to be predicted, which may result in low accuracy of the traffic prediction result.

[0052] In order to solve the above problems, an embodiment of the present application provides a traffic prediction method, which can be applied to an electronic device, and the electronic device can be a terminal or a server...

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Abstract

The embodiment of the present application provides a traffic forecasting method and device, which can input the real traffic at the time before the forecasted time within the forecast period to which the forecasted time belongs to the pre-trained first forecasting network model to obtain the first forecast Flow, input the real flow at the time corresponding to the time to be predicted in the forecast period before the time to be predicted belongs to the forecast period to the pre-trained second prediction network model to obtain the second predicted flow, and based on the first predicted flow and The second predicted flow is to determine the predicted flow at the moment to be predicted. In the prior art, the first predicted flow rate is regarded as the predicted flow rate at the time to be predicted, while the present application determines the predicted flow rate at the time to be predicted based on the first predicted flow rate and the second predicted flow rate, and comprehensively considers different forecast periods and times to be predicted The actual traffic at the corresponding moment has an influence on the traffic at the predicted moment, therefore, the accuracy of the traffic prediction result can be improved.

Description

technical field [0001] The present application relates to the technical field of big data analysis, in particular to a traffic forecasting method and device. Background technique [0002] With the rapid development of computer technology, it is widely used in different scenarios to predict the flow of specified objects at a certain moment in the future (which can be called the moment to be predicted), for example, to predict the flow of people in a certain area , can better control the traffic conditions in the area according to the size of the predicted traffic; predict the network traffic of a certain website, and respond to the sudden traffic of the website in a timely manner according to the predicted size of the network traffic. increasing situation. [0003] In the prior art, the traffic at the time to be predicted can usually be predicted according to the real traffic at the time before the time to be predicted within the forecast period to which the time to be predi...

Claims

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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): H04L41/14H04L41/147
CPCH04L41/145H04L41/147
Inventor 曾挥毫李林森莫致良
Owner HANGZHOU HIKVISION DIGITAL TECH