Unlock instant, AI-driven research and patent intelligence for your innovation.

Traffic state prediction model construction method and traffic state prediction method

A technology of traffic state and prediction model, applied in the field of intelligent transportation, can solve problems such as low prediction accuracy, and achieve the effect of improving prediction accuracy

Active Publication Date: 2022-06-07
SOUTH UNIVERSITY OF SCIENCE AND TECHNOLOGY OF CHINA
View PDF7 Cites 0 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0004] The embodiment of the present application provides a traffic state prediction model construction method and a traffic state prediction method, which can solve the problem of low prediction accuracy

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
  • Traffic state prediction model construction method and traffic state prediction method
  • Traffic state prediction model construction method and traffic state prediction method
  • Traffic state prediction model construction method and traffic state prediction method

Examples

Experimental program
Comparison scheme
Effect test

Embodiment Construction

[0073] In the following description, for the purpose of illustration rather than limitation, specific details such as a specific system structure and technology are set forth in order to provide a thorough understanding of the embodiments of the present application. However, it will be apparent to those skilled in the art that the present application may be practiced in other embodiments without these specific details. In other instances, detailed descriptions of well-known systems, devices, circuits, and methods are omitted so as not to obscure the description of the present application with unnecessary detail.

[0074] It is to be understood that, when used in this specification and the appended claims, the term "comprising" indicates the presence of the described feature, integer, step, operation, element and / or component, but does not exclude one or more other The presence or addition of features, integers, steps, operations, elements, components and / or sets thereof.

[0...

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 is suitable for the technical field of intelligent traffic, and provides a traffic state prediction model construction method and a traffic state prediction method. The model construction method comprises the steps that first data, second data and third data are acquired, the first data comprise historical traffic state data of a to-be-predicted road section, the second data comprise historical traffic state data of upstream and downstream intersections of the to-be-predicted road section, and the third data comprise features of the first data and features of the second data; the features comprise spatial features and / or time features; fusing the first data, the second data and the third data to obtain training sample data; constructing a traffic state prediction model based on the training sample data, and screening out associated features, the associated features being features whose importance is greater than a preset importance; the final traffic state prediction model is established based on the associated features, the prediction precision can be improved, it is ensured that the prediction result conforms to the actual traffic condition, and therefore the condition of the bidirectional traffic flow can be accurately predicted.

Description

technical field [0001] The present application belongs to the technical field of intelligent transportation, and in particular relates to a traffic state prediction model construction method and a traffic state prediction method. Background technique [0002] At present, in modern traffic management and emergency resource scheduling, it is necessary to master the latest road traffic operation status information, so as to understand the traffic status of the whole network from a global perspective, and help decision makers designate schemes such as traffic congestion relief, accident handling, and rescue path planning. Usually, the acquisition and visualization of the road network operating status needs to be based on accurate prediction of the traffic status of road sections and intersections, including the speed, flow, and travel time of road sections and intersections. [0003] However, the traditional traffic state prediction methods generally stay at the correlation degr...

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
Patent Type & Authority Applications(China)
IPC IPC(8): G08G1/01
CPCG08G1/0104G08G1/0108G08G1/0129Y02T10/40
Inventor 杨丽丽孟繁宇曾益萍袁狄平王倩倩
Owner SOUTH UNIVERSITY OF SCIENCE AND TECHNOLOGY OF CHINA