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Method and device for predicting congestion state

A technology of congestion status and prediction model, applied in the field of data processing, to achieve the effect of high accuracy and speed, and improve utilization rate

Active Publication Date: 2021-07-27
中海服信息科技股份有限公司
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  • Abstract
  • Description
  • Claims
  • Application Information

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Problems solved by technology

[0003] The main purpose of this application is to provide a method and device for predicting congestion status to solve the problem of how to predict the congestion status of toll stations

Method used

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  • Method and device for predicting congestion state
  • Method and device for predicting congestion state
  • Method and device for predicting congestion state

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Embodiment Construction

[0054] In order to enable those skilled in the art to better understand the solution of the present application, the technical solution in the embodiment of the application will be clearly and completely described below in conjunction with the accompanying drawings in the embodiment of the application. Obviously, the described embodiment is only It is an embodiment of a part of the application, but not all of the embodiments. Based on the embodiments in this application, all other embodiments obtained by persons of ordinary skill in the art without creative efforts shall fall within the scope of protection of this application.

[0055] It should be noted that the terms "first" and "second" in the specification and claims of the present application and the above drawings are used to distinguish similar objects, but not necessarily used to describe a specific order or sequence. It should be understood that the data so used may be interchanged under appropriate circumstances for ...

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Abstract

The application discloses a method and device for predicting a congestion state. The method of the application includes acquiring sensor data before the current moment, and the sensor data is data collected by sensors installed on each road of a toll station; according to the sensor data based on The congestion state prediction model predicts the congestion state and obtains the prediction result of the congestion state corresponding to the road where the sensor is located after a predetermined period of time. The congestion state prediction model is obtained by training the sensor sample data based on an integrated machine learning algorithm based on a decision tree. The purpose of this application is to provide a method for predicting the congestion state of toll stations.

Description

technical field [0001] The present application relates to the technical field of data processing, and in particular, to a method and device for predicting a congestion state. Background technique [0002] With the improvement of national life, the number of cars is increasing every day, and the pressure on toll stations is increasing simultaneously. There are more than 10,000 toll stations in the country. If the congestion state of toll stations can be predicted in advance, it can be as early as possible during peak hours. Predict its congestion status accurately, and at the same time regulate the number of channels through the predicted congestion status during low peak periods, greatly reducing the empty channel rate and improving the utilization rate of toll channels. Therefore, it is urgent to provide a way to predict the congestion state of toll stations. Contents of the invention [0003] The main purpose of the present application is to provide a method and device ...

Claims

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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): G08G1/01G08G1/065G06N20/00
CPCG08G1/0104G08G1/0125G08G1/065G06N20/00
Inventor 刘冰李文军张文强曹宇天王名扬
Owner 中海服信息科技股份有限公司
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