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

Optimized control method for traffic signals at road junction

A traffic signal and optimization control technology, applied in the direction of traffic signal control, biological neural network model, etc., to improve the training convergence speed, reduce vehicle queue length or waiting time, and have wide applicability.

Inactive Publication Date: 2010-07-28
INST OF AUTOMATION CHINESE ACAD OF SCI
View PDF0 Cites 28 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0005] In order to solve the optimal control problem of the high-dimensional complex system of traffic signal control at block intersections, the object of the present invention is to provide an optimal control method for block intersection traffic signals based on adaptive dynamic programming

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
  • Optimized control method for traffic signals at road junction
  • Optimized control method for traffic signals at road junction
  • Optimized control method for traffic signals at road junction

Examples

Experimental program
Comparison scheme
Effect test

Embodiment Construction

[0020] Various details involved in the technical solution of the present invention will be described in detail below in conjunction with the accompanying drawings. It should be pointed out that the described embodiments are only intended to facilitate the understanding of the present invention, rather than limiting it in any way.

[0021] The structure diagram of the traffic signal optimization control method at block intersection based on adaptive dynamic programming is as follows figure 2 shown. figure 2 The upper part is the actual traffic intersection and the intersection machine. The fuzzy neural network traffic signal controller is running in the intersection machine. The output value of the fuzzy neural network traffic signal controller is used as the control variable u(t) to control the traffic signal, and through The traffic state acquisition equipment collects traffic flow data as the state variable x(t), and transmits the state variable x(t) and control variable ...

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 relates to an optimized control method for traffic signals at a road junction, which is based on adaptive dynamic-programming optimized control and comprises: a step 1 of designing the most basic fuzzy neural network traffic signal controller for the road junction; a step 1 of acquiring state variables and control variables in a certain period; a step 3 of constructing a training error signal by using the state variable, the control variable, an evaluation variable and the like of a certain time and training an artificial neutral network evaluator; a step 4 of constructing a training error signal by using the artificial neutral network evaluator and training the fuzzy neural network traffic signal controller; a step 5 of making the artificial neutral network evaluator and the fuzzy neural network traffic signal controller meet preset training index requirements at the same time; a step 6 of using the training data of a next time to repeat the steps 3, 4 and 5 till the training data of the whole time period are used; and a step 7 of finally acquiring the optimized fuzzy neural network traffic signal controller and transmitting the optimized fuzzy neural network traffic signal controller to a road junction machine to control the traffic signals.

Description

technical field [0001] The invention relates to the field of traffic signal control at block intersections in cities, and proposes an optimization control method based on self-adaptive dynamic programming. Background technique [0002] In recent years, the rapid growth of urban transportation demand has produced a series of problems, such as traffic congestion, traffic delays, environmental pollution and traffic accidents. There is even a strange phenomenon of "the more roads are built, the more vehicles are blocked". One of the key problems is that the existing urban traffic signal control system does not fully play the role of reasonable traffic command and guidance. According to statistics, after the implementation of the advanced traffic signal control system in the Phoenix city of the United States, collision accidents decreased by 6.7%, vehicle travel time decreased by 11.4%, delays decreased by 24.9%, parking numbers decreased by 27%, and energy consumption was signi...

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): G08G1/07G06N3/02
Inventor 赵冬斌李涛易建强
Owner INST OF AUTOMATION CHINESE ACAD OF SCI
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