Design of Fuzzy Neural Network Control Method for Ramp Metering

Author

Feng, Chen ; Yuanhua, Jia ; Jian, Li ; Huixin, Yi ; Zhonghai, Niu

Author_Institution

Sch. of Traffic & Transp., Beijing Jiaotong Univ., Beijing, China

Volume

1

fYear

2011

fDate

6-7 Jan. 2011

Firstpage

966

Lastpage

969

Abstract

In the view of the worsening congestion situation of freeway and related urban expressway. Based on fuzzy metering and neural network theories. A fuzzy control method which chooses d-value of mainline traffic state and expected state and ramp traffic state as input variables, ramp metering rate as output variable was raised. accordingly a ramp metering algorithm was put forward to establish a five-layer Fuzzy Neural Network (FNN)model for deepen the ramp metering theory and method.

Keywords

control system synthesis; fuzzy control; metering; neurocontrollers; road traffic; traffic control; five layer neural network; freeway congestion; fuzzy neural network control method; mainline traffic control; ramp metering algorithm; urban expressway; Artificial neural networks; Fuzzy control; Fuzzy neural networks; Input variables; Niobium; Roads; Traffic control; Fuzzy Control; Fuzzy Neural Network; Neural Network; Ramp Metering; Traffic Control;

fLanguage

English

Publisher

ieee

Conference_Titel

Measuring Technology and Mechatronics Automation (ICMTMA), 2011 Third International Conference on

Conference_Location

Shangshai

Print_ISBN

978-1-4244-9010-3

Type

conf

DOI

10.1109/ICMTMA.2011.242

Filename

5720945