Looking for breakthrough ideas for innovation challenges? Try Patsnap Eureka!

Congestion state prediction method and device

A congestion state and predictive model technology, applied in the field of data processing, to achieve high accuracy and speed, and improve utilization

Active Publication Date: 2020-06-26
中海服信息科技股份有限公司
View PDF14 Cites 4 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

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

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
View more

Image

Smart Image Click on the blue labels to locate them in the text.
Viewing Examples
Smart Image
  • Congestion state prediction method and device
  • Congestion state prediction method and device
  • Congestion state prediction method and device

Examples

Experimental program
Comparison scheme
Effect test

Embodiment Construction

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

[0055] It should be noted that the terms "first" and "second" in the description and claims of the application and the above-mentioned drawings are used to distinguish similar objects, and are not necessarily used to describe a specific sequence or sequence. It should be understood that the data used in this way can be interchanged under appropriate circumstances for the purposes ...

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
Login to View More

PUM

No PUM Login to View More

Abstract

The invention discloses a congestion state prediction method and device, and the method comprises the steps: obtaining sensor data before a current moment, and enabling the sensor data to be collectedby a sensor installed on each road of a toll station; and carrying out congestion state prediction based on a congestion state prediction model according to the sensor data to obtain a prediction result of the congestion state corresponding to the road where the sensor is located after a predetermined duration, and acquiring the congestion state prediction model by training sensor sample data based on an integrated machine learning algorithm of a decision tree. The invention aims to provide a mode for predicting the congestion state of a toll station.

Description

Technical field [0001] This application relates to the technical field of data processing, and specifically to a method and device for predicting congestion status. Background technique [0002] With the improvement of people’s lives, the number of cars is increasing every day, and the pressure on toll gates is increasing simultaneously. There are more than 10,000 toll gates in the country. If the congestion state of toll gates can be predicted in advance, it can be as early as possible during peak periods. Predict its congestion state accurately, and at the same time adjust the number of channels through the predicted congestion state during low peak periods, greatly reducing the airway rate and increasing the utilization of toll channels. Therefore, there is an urgent need to provide a way to predict the congestion state of toll stations. Summary of the invention [0003] The main purpose of this application is to provide a method and device for predicting the congestion state ...

Claims

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
Login to View More

Application Information

Patent Timeline
no application Login to View More
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
Who we serve
  • R&D Engineer
  • R&D Manager
  • IP Professional
Why Patsnap Eureka
  • Industry Leading Data Capabilities
  • Powerful AI technology
  • Patent DNA Extraction
Social media
Patsnap Eureka Blog
Learn More
PatSnap group products

Browse by: Latest US Patents, China's latest patents, Technical Efficacy Thesaurus, Application Domain, Technology Topic, Popular Technical Reports.

© 2024 PatSnap. All rights reserved.Legal|Privacy policy|Modern Slavery Act Transparency Statement|Sitemap|About US| Contact US: help@patsnap.com