Saturation intersection group multi-layer boundary iterative learning control method and device based on MFD

An iterative learning control and intersection group technology, which is applied in traffic flow detection and other directions, can solve problems such as time lag and unsatisfactory boundary control effects, and achieve the effects of improving time lag, reducing the number of iterations, and increasing convergence speed

Active Publication Date: 2019-06-11
GUANGDONG COMM POLYTECHNIC
View PDF7 Cites 8 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
  • Saturation intersection group multi-layer boundary iterative learning control method and device based on MFD
  • Saturation intersection group multi-layer boundary iterative learning control method and device based on MFD
  • Saturation intersection group multi-layer boundary iterative learning control method and device 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

The application discloses a saturation intersection group multi-layer boundary iterative learning control method and device based on MFD. Compared with the prior art, the iteration frequency of the method provided by the application can be obviously reduced, the convergence speed is effectively improved, so that the time-lagging problem is improved; and meanwhile; the double-layer boundary controlis performed on a jam area and a transition area by utilizing a feed-forward and feedback iterative learning controller, the boundary in-out vehicle flows at the jam area and the transition area areregulated, so that various traffic signal evaluation indexes of the jam area and the transition area are obviously improved, the entire traffic running efficiency of the control region is improved, and the boundary 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 Applications(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