A multi-phase fuzzy controller for urban intersections and ITS implementation by BP neural network

Author

Xu, Lunhui ; Duan, Yingxia ; Huang, Yanguo ; Chen, Cang

Author_Institution

Coll. of Traffic & Commun., China Univ. of Technol., Guangzhou

fYear

2008

fDate

25-27 June 2008

Firstpage

745

Lastpage

749

Abstract

According to the traffic flow features of urban intersections, a multi-phase adaptive control algorithm is given. The structure of network and program of realizing fuzzy control based on improved multi-layer BP neural networks are obtained. Results of simulation research show that with the abilities of learning and generation, the fuzzy neural controller can cope with the fast changing of arriving traffic flow and is suitable for all kinds of single intersections.

Keywords

adaptive control; backpropagation; fuzzy control; fuzzy neural nets; neurocontrollers; traffic control; BP neural network; ITS implementation; multilayer BP neural networks; multiphase adaptive control algorithm; multiphase fuzzy controller; traffic flow features; urban intersections; Adaptive control; Automation; Communication system traffic control; Educational institutions; Fuzzy control; Fuzzy neural networks; Intelligent control; Neural networks; Traffic control; Vehicles; Fuzzy Control; Neural Network; Traffic Control;

fLanguage

English

Publisher

ieee

Conference_Titel

Intelligent Control and Automation, 2008. WCICA 2008. 7th World Congress on

Conference_Location

Chongqing

Print_ISBN

978-1-4244-2113-8

Electronic_ISBN

978-1-4244-2114-5

Type

conf

DOI

10.1109/WCICA.2008.4593015

Filename

4593015