Method and device for multi-layer boundary iterative learning control of saturated intersection group based on mfd

A technology of iterative learning control and intersection group, applied in traffic flow detection and other directions, can solve problems such as time lag difference and unsatisfactory boundary control effect, and achieve the effect of improving time delay problem, reducing the number of iterations, and improving the convergence speed.

Active Publication Date: 2021-08-31
GUANGDONG COMM POLYTECHNIC
View PDF0 Cites 0 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0007] The embodiment of the present application provides an MFD-based multi-layer boundary iterative learning control method and device for saturated intersection groups, which is used to solve the existing technologies of poor time lag and unsatisfactory boundary control effects of saturated intersection group traffic control methods question

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
  • Method and device for multi-layer boundary iterative learning control of saturated intersection group based on mfd
  • Method and device for multi-layer boundary iterative learning control of saturated intersection group based on mfd
  • Method and device for multi-layer boundary iterative learning control of saturated intersection group based on mfd

Examples

Experimental program
Comparison scheme
Effect test

Embodiment Construction

[0073] 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 a part of the embodiments of this 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.

[0074] For ease of understanding, see figure 1 , an embodiment of an MFD-based multilayer boundary iterative learning control method for saturated intersection groups provided by the present application, including:

[0075] Step 101. Obtain the MFD of the control area of ​​the intersection group. The control area includes: congestion area and transition area.

[...

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

This application discloses a MFD-based multi-layer boundary iterative learning control method and device for saturated intersection groups. Compared with the prior art, the method provided by this application can significantly reduce the number of iterations, effectively improve the convergence speed, and make the time At the same time, the feed-forward feedback iterative learning controller is used to control the double-layer boundary of the congestion area and the transition area, and the traffic flow in and out of the congestion area and the transition area is adjusted, so that the traffic in the congestion area and the transition area The signal evaluation indicators have been significantly improved, improving the overall traffic operation efficiency in the control area, and the border control effect is more ideal.

Description

technical field [0001] The present application relates to the technical field of traffic control, in particular to an MFD-based multi-layer boundary iterative learning control method and device for saturated intersection groups. Background technique [0002] With the rapid development of social economy, the number of cars has increased sharply, and the problem of urban traffic congestion has become more and more serious, which has brought huge challenges to urban traffic. Traffic control problem in oversaturated intersection clusters. [0003] At present, traffic management and control methods based on Macroscopic Fundamental Diagrems (MFD) are applied to the road network to effectively control saturated intersection groups, including model-based feedback control methods and MFD-based iterative learning control method. But there are two problems in the current model-based feedback control method and MFD-based iterative learning control method: [0004] (1) The problem of ...

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 Patents(China)
IPC IPC(8): G08G1/01
Inventor 林晓辉曹成涛
Owner GUANGDONG COMM POLYTECHNIC
Who we serve
  • R&D Engineer
  • R&D Manager
  • IP Professional
Why Eureka
  • Industry Leading Data Capabilities
  • Powerful AI technology
  • Patent DNA Extraction
Social media
Try Eureka
PatSnap group products