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

Self-adaptive control method for period of traffic signal based on evolutionary game

An adaptive control and traffic signal technology, applied in the field of intelligent transportation, can solve problems such as difficult to describe the dynamic characteristics of the actual system

Inactive Publication Date: 2013-06-26
FUZHOU UNIV
View PDF4 Cites 14 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

Usually, game theory is used to solve conflict, coordination and competition problems among multiple intersections, but this theory is difficult to describe the dynamic characteristics of the actual system, and each intersection is required to be a rational participant

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
  • Self-adaptive control method for period of traffic signal based on evolutionary game
  • Self-adaptive control method for period of traffic signal based on evolutionary game
  • Self-adaptive control method for period of traffic signal based on evolutionary game

Examples

Experimental program
Comparison scheme
Effect test

Embodiment Construction

[0035] This embodiment provides a traffic signal period adaptive control method based on evolutionary game, which is characterized in that: a two-layer hierarchical distributed structure is adopted, the upper layer is the regional control layer, and the lower layer is the intersection control layer; the regional control layer is mainly responsible for each For the optimization of period period and phase difference, the intersection control layer is responsible for the optimization of the green signal ratio in each period; the described evolutionary game-based traffic signal period adaptive control method is carried out as follows:

[0036] S1: A few seconds before the end of each period in the time period, according to the real-time detected road network traffic flow data, intersection parameter information and forecast information, optimize the green signal ratio used at the intersection in the next period;

[0037] S2: In the last period of each time period, the cycle and pha...

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 provides a self-adaptive control method for the period of a traffic signal based on an evolutionary game. An evolutionary game theory is applied into the self-adaptive control of a traffic signal, the dynamic characteristics for controlling the traffic flow and the single are sufficiently considered, a signal lamp self-adaptive control model is built, and the problem of the control of the urban traffic signal lamp in the current region can be solved. The method is a completely-distributed control method, so that the characteristics of the traffic system, i.e. the uncertainty, the randomness, the nonlinearity, the locality and the like, can be well solved. Furthermore, relative to the application of other intelligent algorithms, the method is simple in structure, stable in performance, and good in modifiability and expandability.

Description

technical field [0001] The invention relates to the technical field of intelligent transportation, in particular to an evolutionary game-based traffic signal cycle self-adaptive control method. Background technique [0002] With the continuous development of social economy, the problem of urban traffic congestion is becoming more and more serious. As an important subsystem of intelligent transportation system, urban traffic control system has always been a research hotspot. Due to the complexity, uncertainty, time-varying and nonlinear characteristics of the traffic system, it is difficult for the existing control technology to control it effectively. With the continuous advancement of science and technology, it is the focus of current intelligent traffic control research to design an advanced urban traffic signal control system and improve the effect of traffic control by using new control theories and methods. [0003] The transportation system is a typical complex syste...

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): G08G1/081
Inventor 余春艳李建明吴丽丽
Owner FUZHOU UNIV
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